From 4d92a0a228aca595235b039e553b8233b4a98ff6 Mon Sep 17 00:00:00 2001 From: hessius Date: Thu, 2 Jul 2026 06:44:18 +0200 Subject: [PATCH 01/62] docs: add v3.0.0 unified TS core + Bun server design spec Approved brainstorm output: collapse the dual Python/TS runtimes onto a single shared packages/core handler consumed by both apps/frontend (native + browser) and a compiled single-binary Bun apps/server on distroless. Drops Python, nginx, s6, mosquitto, MCP, and MQTT/HA; keeps Tailscale UI via LocalAPI-over-socket. Seamless upgrade for existing server users (frozen /api/*, /api/ws/live, and /data contracts; flat-JSON persistence behind a Storage interface). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ...unified-ts-core-bun-server-3.0.0-design.md | 236 ++++++++++++++++++ 1 file changed, 236 insertions(+) create mode 100644 docs/superpowers/specs/2026-07-02-unified-ts-core-bun-server-3.0.0-design.md diff --git a/docs/superpowers/specs/2026-07-02-unified-ts-core-bun-server-3.0.0-design.md b/docs/superpowers/specs/2026-07-02-unified-ts-core-bun-server-3.0.0-design.md new file mode 100644 index 00000000..9afe3ad9 --- /dev/null +++ b/docs/superpowers/specs/2026-07-02-unified-ts-core-bun-server-3.0.0-design.md @@ -0,0 +1,236 @@ +# Unified TypeScript Core + Bun Server (v3.0.0) — Design + +**Status:** Approved design (brainstorm complete) — pending implementation plan +**Date:** 2026-07-02 +**Target release:** 3.0.0 (single atomic epic) +**Branch:** `version/3.0.0` + +## 1. Problem & Goal + +Metic ships two runtimes that implement the same behavior twice: + +- **Server mode** — React SPA + **Python FastAPI** backend (`apps/server`) for AI, profile/curve math, recommendations, machine I/O, persistence. +- **Native mode** — Capacitor iOS/Android app with **no server**; the same logic is reimplemented client-side in `apps/web/src/services/interceptor/DirectModeInterceptor.ts` (~3,658 LOC), `services/ai/`, and `lib/`. + +Maintaining two implementations of one behavior is the project's biggest maintenance and correctness risk (the "parity treadmill"). Separately, the server Docker image is a few hundred MB (Python + `google-genai`/grpc + `pillow`/`pillow-heif` + three Python dependency trees + nginx + mosquitto + git + s6), which is unreasonable next to the few-MB Capacitor app. + +**Goal:** collapse onto a **single TypeScript implementation** shared by both runtimes, and replace the Python server with a **single compiled Bun binary** in a slim (~60–100 MB) single-process container — while making the 3.0.0 upgrade **seamless** for existing server users. + +## 2. Decisions (locked during brainstorm) + +| # | Decision | Choice | +|---|---|---| +| 1 | Sequencing | **A — one atomic 3.0.0 epic**: core extraction + Bun server land together | +| 2 | Home Assistant / MQTT | **B — drop MQTT broker + bridge + HA**; keep live telemetry via direct Socket.IO. HA deprecated with notice | +| 3 | MCP server | **A — drop it** from the image (removes the last Python); deprecation notice | +| 4 | Persistence | **A — flat JSON files behind a `Storage` interface** (zero migration). SQLite deferred to a follow-up issue | +| 5 | AI on server | **A — server runs AI + image endpoints in Bun via the shared core**, using server-side env keys. Multi-provider (Gemini + OpenAI-compatible + others), per 2.6.0 | +| 6 | Process model | **A — single Bun process**; drop s6-overlay and nginx | +| 7 | Packaging | **A — compiled single binary (`bun build --compile`) on `distroless/cc`**; alpine+musl fallback | +| 8 | App naming | **A — `apps/frontend` + `apps/server`** (+ `packages/core`) | +| 9 | Capacitor location | **`apps/capacitor`** sibling; `webDir: '../frontend/dist'` | +| 10 | Tailscale UI | **Retained** via Tailscale LocalAPI over the shared `tailscaled.sock` (Bun `fetch({ unix })`); drop `.env`/compose rewriting | +| 11 | Self-updater | **Deprecated** → Watchtower / `docker compose pull` | + +## 3. Architecture + +### 3.1 Monorepo layout + +``` +packages/core/ # portable logic, framework-free (no Node, no DOM, no framework) + handler.ts # THE router: (Request, Platform) => Promise + platform.ts # Platform interface (the single seam) + ai/ # multi-provider, isomorphic (fetch-based) + machine/ # Meticulous REST + Socket.IO client + analysis/ recommendations/ prompts/ shotFacts/ compass/ decent/ validation/ + generationProgress.ts + +apps/frontend/ # React SPA — runs in the native webview AND LAN browsers + src/... + platform/browser.ts # Platform impl: IndexedDB/Capacitor Preferences, WebCrypto + host/fetchHost.ts # binds core.handler over window.fetch (direct mode only) + +apps/capacitor/ # native wrapper only + capacitor.config.ts # webDir: '../frontend/dist' + package.json # @capacitor/cli + plugin deps (the "native host") + ios/ android/ + +apps/server/ # the Bun backend (compiled binary / container) + server.ts # Bun.serve(): static + /api/v1 proxy + /api/ws/live hub + core.handler + platform/node.ts # Platform impl: fs-JSON repos, env secrets, cron scheduler + healthcheck.ts # `healthcheck` subcommand for Docker HEALTHCHECK +``` + +### 3.2 The keystone + +`core` exposes **one Web-standard handler**: `(Request, Platform) => Promise`. + +- The browser interceptor already produces `Response` objects. +- `Bun.serve({ fetch })` consumes exactly this signature. + +So the **same handler** answers `/api/*` in both runtimes. There is **no separate "interceptor layer" vs "server layer."** Today's `DirectModeInterceptor` is decomposed into (a) routing+logic → `core/handler.ts` (shared; this is also the #528 refactor done properly) and (b) a tiny transport binding per host. + +### 3.3 Duplication budget + +| Concern | Frontend | Server | Duplication | +|---|---|---|---| +| Routing + logic + AI + machine client | `packages/core/handler.ts` | *same file* | **none** | +| Host (transport binding) | `host/fetchHost.ts` (patch `window.fetch`) | `server.ts` (`Bun.serve`) | ~50–120 LOC each, no logic | +| Platform impl | `platform/browser.ts` | `platform/node.ts` | different backends, one interface | + +The only "two implementations" are the `Platform` impls — necessary (IndexedDB ≠ filesystem), small, interface-bounded. The browser impl mostly exists already (`directModeStorage` + `AppDatabase`); the node impl is the main net-new code (~300–500 LOC). + +### 3.4 Frontend transport model (unchanged) + +The existing `proxy` vs `direct` split stays: + +- **Server users' browsers** → `proxy` mode → call the Bun server → Bun runs the **core handler server-side** (env AI keys, shared `/data` persistence). Preserves shared cross-device state and the one-server-key UX. +- **Native** → `direct` mode → runs the **core handler in-process**. + +Same core, two hosts. + +## 4. The `Platform` interface + persistence + +`Platform` is the single seam, implemented twice. `core` depends only on it. + +```ts +interface Platform { + storage: { + settings: Repo + history: Repo + annotations: Repo + dialInSessions: Repo + pourOverPrefs: Repo + schedules: Repo + aiCache: Cache // TTL-aware + images: BlobStore // profile images (bytes) + } + secrets: { getAIConfig(): { provider: string; apiKey: string; model?: string } } + machine: { getBaseUrl(): string } // native → stored URL; server → METICULOUS_IP + scheduler?: Scheduler // OPTIONAL — asymmetric on purpose (see 4.2) + clock: () => number + logger: Logger +} +``` + +### 4.1 Seamless persistence (zero migration) + +Each repo maps to the **existing on-disk artifact with its existing internal shape**, so the Bun server reads a current user's `/data` volume untouched on first boot: + +| Repo | Node impl (`/data`) | Browser impl | +|---|---|---| +| settings | `settings.json` | IndexedDB `settings` | +| history | `profile_history.json` | `AppDatabase` history store | +| annotations | existing annotations file | IndexedDB | +| schedules | `scheduled_shots.json`, `recurring_schedules.json` | n/a (see 4.2) | +| aiCache | existing cache JSON | IndexedDB | +| images | existing PNG dir | IndexedDB blobs | + +Node writes use the current **atomic temp-file + rename** pattern. Rollback-safe: 3.0.0 only reads/writes the same files. + +### 4.2 Scheduler is optional and asymmetric + +A closed app cannot fire a shot, so native already `501`s scheduling today. `scheduler?` is optional: `platform/node.ts` supplies a real scheduler (persist to `schedules` repo, rehydrate cron timers on boot); `platform/browser.ts` omits it, and the schedule routes in `core` return `501` when it is absent — identical to current native behavior, no route branching. + +## 5. Machine client, live telemetry, `/api/v1` proxy + +The **machine client lives in `core`** and is isomorphic (REST via `fetch`, telemetry via `socket.io-client`; both run in the webview and in Bun). Built from `Platform.machine.getBaseUrl()`. Exposes commands (start/stop/preheat/tare/profiles/shots…) and a telemetry stream (`status`/`sensors`/`actuators`). + +**Native (`direct`):** the webview runs the core machine client and connects straight to the machine (Capacitor `http` scheme → no CORS/mixed-content). Telemetry consumed directly. + +**Server (`proxy`) — three Bun surfaces:** + +| Path | Behavior | +|---|---| +| `/api/*` (MeticAI contract) | → core handler (business logic); core uses the machine client in-process | +| `/api/v1/*` (machine-native) | → transparent reverse-proxy to `${METICULOUS_IP}/api/v1/*` — fixes browser CORS + http/https | +| `/api/ws/live` | → telemetry hub: **one** upstream Socket.IO connection to the machine, fanned out to browser clients over a native WebSocket | + +The telemetry hub **replaces mosquitto + the `meticulous-addon` MQTT bridge** with a direct Socket.IO→WS rebroadcast (one machine connection for N browsers, no broker). + +**Frozen contract:** the `/api/ws/live` message shape stays byte-identical, so the frontend's proxy-mode telemetry consumer is unchanged. The `mosquitto-data` volume and `MQTT_*` env vars are retired. + +## 6. AI + image generation + +**Multi-provider AI moves into `core/ai`** (Gemini + OpenAI-compatible + others). `fetch`-based and isomorphic; key/model via `Platform.secrets.getAIConfig()`: +- native → user settings (per-device key) +- server → env (`AI_PROVIDER`/`AI_API_KEY`, `GEMINI_API_KEY`/`GEMINI_MODEL`) + +**Image handling — push all raster work to the frontend** (Canvas/`createImageBitmap`), in both modes: +- HEIF→JPEG + resize happen **client-side** before bytes reach the AI module → neither Bun nor the machine needs an image library. +- AI-generated images returned by the provider (PNG/base64) are stored via `Platform.storage.images` and displayed by the frontend. + +Result: `pillow`, `pillow-heif`, and any server-side `sharp`/libvips are all avoided (no native image deps vs `bun --compile`/distroless). + +**Progress / SSE.** Progress is a shared `core` tracker (port of `generation_progress.py`). Binding differs, logic does not: +- server → Bun exposes `/api/generate/progress` as **SSE** (`ReadableStream`), preserving the proxy-mode contract. +- native → consumes the tracker directly (current synchronous behavior). + +## 7. Container: build, image, startup, config, updates + +**Multi-stage build → one small artifact:** +1. Frontend: `bun run build` in `apps/frontend` → `dist/`. +2. Server: `bun build --compile` in `apps/server` → single binary. +3. Runtime: `distroless/cc` + binary + `frontend/dist` + default data templates. Fallback: alpine + Bun musl target. + +No Python, nginx, s6, mosquitto, git, or `node_modules`. **Estimated ~60–100 MB**, single process, `ENTRYPOINT [binary]`. + +**Startup (replaces s6 one-shots):** +1. Seed default templates into `/data` if missing (`PourOverBase.json`, recipes). +2. Non-destructive one-shot data migration if a format bump is needed. +3. Rehydrate the scheduler from the `schedules` repo. +4. `Bun.serve()` on **3550**. + +**Config/env:** +- Kept: `GEMINI_API_KEY`, `GEMINI_MODEL`, `METICULOUS_IP`, `DATA_DIR`, `AI_PROVIDER`, `AI_API_KEY`. +- Retired: `MQTT_*`, `MCP_SERVER_PORT`, `SERVER_PORT`. Volume `mosquitto-data` dropped; `meticai-data` unchanged. + +**Health check:** distroless has no `curl` → the binary gets a `healthcheck` subcommand pinging `localhost:3550/health`; `HEALTHCHECK` calls the binary. + +**Updates:** the in-container self-updater (`update.sh` + `/api/trigger-update`, `/api/restart`, `/api/beta-channel`, `/api/update-method`) is **removed** (no bash/subprocess in distroless). Image updates rely on **Watchtower** (label kept) or `docker compose pull`. `/api/version`, `/api/health`, `/api/changelog` remain. + +**Tailscale UI — retained.** Bun's `fetch({ unix })` queries the sidecar's Tailscale **LocalAPI** over the shared `tailscaled.sock`: +- `/api/tailscale-status` → live status (connected/hostname/ip/login_url) via `/localapi/v0/status`. +- `/api/tailscale/configure` → stores `tailscaleEnabled`/`tailscaleAuthKey` in settings; activation via LocalAPI (better than editing `.env`). +- Requires the compose overlay to share the tailscaled socket into the app container (documented one-line volume mount). The `.env`/`COMPOSE_FILES` rewriting + compose restart is dropped. + +**Compose:** same image name/tag `ghcr.io/hessius/meticai`, same port `3550`, same `meticai-data` volume, Watchtower label kept. Remove `docker-compose.homeassistant.yml` + MQTT env. Existing users' upgrade action is just `docker compose pull && up -d`. + +## 8. Cutover, parity testing, rollout + +**Big-bang cutover (Option A):** 3.0.0 deletes `apps/server` (Python), `apps/mcp-server`, `apps/bridge`, mosquitto, nginx, s6. The frontend `proxy` transport stays but points at the Bun server; native `direct` behavior is unchanged. + +**Frozen contracts (the safety net):** +- `/api/*` request/response schemas. +- `/api/ws/live` message shape. +- `/data` on-disk formats. + +**Parity testing:** +- Port the existing Python **`test_main.py` (750+)** behavioral assertions into a **`core` contract-test suite** run against a **mock `Platform`** (same request in → same response out). This proves the Bun server matches the Python one before deletion. +- Keep existing **frontend tests (277+)** and `*.direct.test` parity tests; parity becomes structural since both hosts call the same handler. +- New **Playwright E2E** against a live Bun binary + simulated machine (reuse `DemoAdapter` / `test_integration_machine` fixtures). +- **CI gates:** core contract suite + frontend + Bun E2E green; `bun build --compile` succeeds; **image-size check** (fail on regression past threshold). + +**Migration + rollback:** first boot reads existing `/data` untouched (non-destructive). Rollback = re-pin the previous image tag (data compatible). One-shot migration runs only if a format bump is ever needed, writing alongside. + +**Rollout (protect Watchtower users from a surprise major upgrade):** publish `3.0.0-beta.*` under a **beta tag only**; keep `latest` on 2.x until 3.0.0 is validated on a real machine + LAN browser + Capacitor. `latest`+Watchtower users auto-upgrade only when 3.0.0 is promoted to `latest`, with migration notes in the release. + +**Deprecations (documented, with notices):** +- Home Assistant / MQTT integration. +- Bundled MCP server endpoint. +- In-UI self-updater (→ Watchtower / `compose pull`). + +(Retained: Tailscale UI via LocalAPI-over-socket.) + +**Top implementation risks:** contract fidelity of ported Python tests; SSE streaming under `Bun.serve`; scheduler rehydration correctness; `bun --compile` vs unix-socket `fetch` and `socket.io-client` (all pure-JS → low risk). + +## 9. Migration notes to record for implementers + +- Build/CI path change: `apps/web/android/gradlew` → **`apps/capacitor/android/gradlew`**; the never-stage `project.pbxproj` rule now applies under `apps/capacitor/ios/...`. +- Capacitor plugin detection: declare `@capacitor/*` plugin deps in `apps/capacitor/package.json`; keep workspace hoisting consistent (or pin Capacitor packages in `apps/capacitor`) so CocoaPods/Gradle paths resolve. +- The frontend keeps runtime Capacitor detection (`window.Capacitor`) — no build coupling to the native project location. + +## 10. Follow-ups (out of scope for 3.0.0) + +- **SQLite migration** for persistence (behind the same `Storage`/`Repo` interface, no user-facing migration) — tracked as a separate issue. +- Optional future TS reimplementation of the MCP server as a separate opt-in image. From 34e4343ef537ee40b1b7d76c88f324977daae927 Mon Sep 17 00:00:00 2001 From: hessius Date: Thu, 2 Jul 2026 06:53:45 +0200 Subject: [PATCH 02/62] docs: add v3.0.0 unified TS core + Bun server implementation plan 7-phase plan (monorepo foundation, core extraction, browser platform+host, node platform+Bun server, tailscale/health/startup, distroless container, cutover+rollout). Scheduled after 2.7.0. Full TDD step detail for Phase 1; task-level detail for Phases 2-7 (re-baselined per phase at implementation). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ...-07-02-unified-ts-core-bun-server-3.0.0.md | 512 ++++++++++++++++++ 1 file changed, 512 insertions(+) create mode 100644 docs/superpowers/plans/2026-07-02-unified-ts-core-bun-server-3.0.0.md diff --git a/docs/superpowers/plans/2026-07-02-unified-ts-core-bun-server-3.0.0.md b/docs/superpowers/plans/2026-07-02-unified-ts-core-bun-server-3.0.0.md new file mode 100644 index 00000000..3ca8613f --- /dev/null +++ b/docs/superpowers/plans/2026-07-02-unified-ts-core-bun-server-3.0.0.md @@ -0,0 +1,512 @@ +# Unified TS Core + Bun Server (v3.0.0) Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Collapse Metic's dual Python/TypeScript runtimes onto a single shared `packages/core` request handler consumed by both `apps/frontend` (native + browser) and a compiled single-binary Bun `apps/server`, deleting the Python backend while keeping the 3.0.0 upgrade seamless for existing server users. + +**Architecture:** One Web-standard handler `(Request, Platform) => Promise` lives in `packages/core`. The browser installs it over `window.fetch` (direct mode); Bun serves it via `Bun.serve` (proxy mode). All platform I/O (storage, secrets, machine URL, scheduler) is injected through a `Platform` interface implemented twice (`platform/browser.ts`, `platform/node.ts`). Persistence stays flat-JSON on the existing `/data` layout (zero migration). MQTT/HA, the MCP server, nginx, s6, and mosquitto are removed; the container becomes a single distroless Bun binary. + +**Tech Stack:** TypeScript, Bun (`bun build --compile`), React SPA (Vite), Capacitor, `socket.io-client`, Web Fetch API (`Request`/`Response`/`ReadableStream`), Vitest, Playwright, Docker (`distroless/cc`). + +**Spec:** `docs/superpowers/specs/2026-07-02-unified-ts-core-bun-server-3.0.0-design.md` + +--- + +## Scheduling & Prerequisites (read first) + +- **Do NOT start before 2.6.0 beta and the 2.7.0 milestone ship.** Correct order: 2.6.0 → 2.7.0 → 3.0.0. This plan is a banked artifact; the `version/3.0.0` branch stays dormant until 2.7.0 is done. +- **Issue #528 overlap (decide before starting):** #528 (refactor `DirectModeInterceptor` into modules) *is* Phase 2's core extraction. Either (a) defer #528 into this epic, or (b) do #528 in 2.7.0 with module boundaries matching `packages/core` so it becomes a head start. Do not do a throwaway reshuffle. +- **#529 (visual regression) and #530 (E2E)** from 2.7.0 feed Phase 7's parity net — land them in 2.7.0. +- **Re-baseline before implementing.** Because 2.7.0 will change the codebase, at the start of each phase re-read the touched files and write that phase's detailed step-level task breakdown against the *then-current* code. This plan gives full step detail for Phase 1 (stable) and task-level detail (files, interfaces, tests, exit criteria) for Phases 2–7. + +## Scope Decomposition (7 phases, each independently testable) + +| Phase | Deliverable | Depends on | +|---|---|---| +| 1 | Monorepo + `packages/core` scaffold + `Platform` interface + app renames | — | +| 2 | Core extraction: handler + logic + AI + machine client (behind `Platform`) | 1 | +| 3 | `platform/browser.ts` + frontend host binding; native parity preserved | 2 | +| 4 | `platform/node.ts` + Bun server host (static, `/api/v1` proxy, `/api/ws/live` hub, SSE, scheduler) | 2 | +| 5 | Tailscale LocalAPI, health subcommand, startup/seed/migration | 4 | +| 6 | Container: distroless multi-stage build + image-size CI gate | 4, 5 | +| 7 | Cutover: delete Python/MCP/bridge/mosquitto/nginx/s6, compose changes, parity-test port, beta rollout | 3, 6 | + +Each phase ends green (all tests pass, builds succeed) and is committable/mergeable on its own. The app keeps working after every phase: Phases 1–3 leave the Python server running; Phase 4 stands up Bun in parallel; Phase 7 flips the deployment and removes Python. + +--- + +## File Structure (target end-state) + +``` +packages/core/ + package.json # name "@metic/core", type module, exports ./handler ./platform + src/ + handler.ts # route dispatch: (Request, Platform) => Promise + router.ts # tiny method+path matcher used by handler.ts + platform.ts # Platform interface + Repo/Cache/BlobStore/Scheduler/Logger types + http.ts # jsonResponse/errorResponse helpers (ported from directModeHttp.ts) + routes/ + profiles.ts shots.ts analysis.ts recommendations.ts dialin.ts + pourover.ts recipes.ts machine.ts schedules.ts system.ts + ai/ # moved from apps/web/src/services/ai (providers, prompts, retry) + machine/ + MachineClient.ts # REST + Socket.IO client built from base URL (isomorphic) + analysis/ shotFacts/ compass/ decent/ validation/ recommendations/ + generationProgress.ts # shared progress tracker (port of generation_progress.py) + test/ + contract/ # ported behavioral assertions run against a mock Platform + mockPlatform.ts + +apps/frontend/ # renamed from apps/web (SPA only; native project removed) + src/... + src/platform/browser.ts # Platform impl: IndexedDB/Capacitor Preferences, WebCrypto + src/host/fetchHost.ts # installs core handler over window.fetch (direct mode) + +apps/capacitor/ # native wrapper (moved out of apps/web) + capacitor.config.ts # webDir: '../frontend/dist' + package.json # @capacitor/cli + plugin deps + ios/ android/ + +apps/server/ # NEW: Bun backend (replaces Python apps/server) + package.json + src/ + main.ts # entry: parse argv (serve|healthcheck), Bun.serve + server.ts # Bun.serve fetch handler: static + /api/v1 proxy + /api/* core + ws + static.ts # serve frontend/dist + machineProxy.ts # transparent /api/v1/* reverse proxy + telemetryHub.ts # one upstream machine Socket.IO -> fan-out WebSocket at /api/ws/live + platform/node.ts # Platform impl: fs-JSON repos, env secrets, cron scheduler + platform/repos/ # settingsRepo.ts historyRepo.ts ... imagesBlobStore.ts + tailscale.ts # LocalAPI over unix socket via fetch({ unix }) + startup.ts # seed defaults, run migration, rehydrate scheduler + healthcheck.ts # pings localhost:3550/health, exit 0/1 + test/ + +docker/ + Dockerfile.unified # rewritten: multi-stage bun build --compile -> distroless/cc + +# DELETED in Phase 7: apps/server (Python), apps/mcp-server, apps/bridge, +# docker/mosquitto*.conf, docker/nginx.conf, docker/s6-rc.d/, docker-compose.homeassistant.yml +``` + +--- + +## Phase 1 — Monorepo foundation, `packages/core` scaffold, `Platform` interface, app renames + +**Goal:** Establish the workspace and the empty shared package + the `Platform` seam, and rename the apps, with everything still building and all existing tests green. No behavior change. + +**Why first:** Everything downstream imports `@metic/core` and `Platform`. The renames (`web → frontend`, extract `capacitor`) must land before code moves so later diffs are clean. + +### Task 1.1: Establish Bun workspaces + +**Files:** +- Create: `package.json` (repo root — workspace manifest) +- Modify: none yet (apps keep their own `package.json`) + +- [ ] **Step 1: Inspect current root for an existing workspace manifest** + +Run: `cat package.json 2>/dev/null; ls apps` +Expected: no root workspace `package.json` (apps are standalone), directories `bridge mcp-server server web`. + +- [ ] **Step 2: Create the root workspace manifest** + +Create `package.json`: +```json +{ + "name": "metic-monorepo", + "private": true, + "workspaces": ["packages/*", "apps/*"], + "scripts": { + "test": "bun run --filter '*' test", + "build": "bun run --filter '*' build" + } +} +``` + +- [ ] **Step 3: Verify install resolves the workspace** + +Run: `bun install` +Expected: completes without error; root `node_modules` created with workspace symlinks. + +- [ ] **Step 4: Commit** + +```bash +git add package.json bun.lock +git commit -m "chore(monorepo): add Bun workspace manifest" +``` + +### Task 1.2: Scaffold `packages/core` with a trivial handler + one contract test + +**Files:** +- Create: `packages/core/package.json` +- Create: `packages/core/src/platform.ts` +- Create: `packages/core/src/http.ts` +- Create: `packages/core/src/handler.ts` +- Create: `packages/core/test/mockPlatform.ts` +- Create: `packages/core/test/handler.health.test.ts` + +- [ ] **Step 1: Write the failing test** + +Create `packages/core/test/handler.health.test.ts`: +```ts +import { describe, it, expect } from 'vitest' +import { handle } from '../src/handler' +import { makeMockPlatform } from './mockPlatform' + +describe('core handler', () => { + it('answers GET /api/health with ok', async () => { + const res = await handle(new Request('http://x/api/health'), makeMockPlatform()) + expect(res.status).toBe(200) + expect(await res.json()).toEqual({ status: 'ok' }) + }) +}) +``` + +- [ ] **Step 2: Run it and confirm it fails** + +Run: `cd packages/core && bunx vitest run test/handler.health.test.ts` +Expected: FAIL — cannot resolve `../src/handler`. + +- [ ] **Step 3: Create the package manifest** + +Create `packages/core/package.json`: +```json +{ + "name": "@metic/core", + "type": "module", + "exports": { ".": "./src/handler.ts", "./platform": "./src/platform.ts" }, + "scripts": { "test": "vitest run", "build": "tsc --noEmit" }, + "devDependencies": { "vitest": "^3.0.0", "typescript": "^5.6.0" } +} +``` + +- [ ] **Step 4: Define the `Platform` interface** + +Create `packages/core/src/platform.ts`: +```ts +export interface Repo { + read(id: string): Promise + list(): Promise + write(id: string, value: T): Promise + delete(id: string): Promise +} +export interface Cache { + get(key: string): Promise + set(key: string, value: T, ttlMs?: number): Promise +} +export interface BlobStore { + read(key: string): Promise + write(key: string, bytes: Uint8Array): Promise + delete(key: string): Promise +} +export interface Scheduler { + schedule(id: string, at: number, run: () => Promise): void + cancel(id: string): void +} +export interface Logger { info(m: string, x?: unknown): void; error(m: string, x?: unknown): void; debug(m: string, x?: unknown): void } +export interface AIConfig { provider: string; apiKey: string; model?: string } + +export interface Platform { + storage: { + settings: Repo> + history: Repo + annotations: Repo + dialInSessions: Repo + pourOverPrefs: Repo + schedules: Repo + aiCache: Cache + images: BlobStore + } + secrets: { getAIConfig(): AIConfig } + machine: { getBaseUrl(): string } + scheduler?: Scheduler + clock: () => number + logger: Logger +} +``` + +- [ ] **Step 5: Add HTTP helpers** + +Create `packages/core/src/http.ts`: +```ts +export function jsonResponse(data: unknown, status = 200): Response { + return new Response(JSON.stringify(data), { status, headers: { 'Content-Type': 'application/json' } }) +} +export function notImplemented(msg = 'Not supported'): Response { + return jsonResponse({ error: msg }, 501) +} +``` + +- [ ] **Step 6: Implement the minimal handler** + +Create `packages/core/src/handler.ts`: +```ts +import type { Platform } from './platform' +import { jsonResponse } from './http' + +export async function handle(req: Request, _platform: Platform): Promise { + const { pathname } = new URL(req.url) + if (req.method === 'GET' && pathname === '/api/health') { + return jsonResponse({ status: 'ok' }) + } + return jsonResponse({ error: `No route for ${req.method} ${pathname}` }, 404) +} +``` + +- [ ] **Step 7: Create the mock Platform** + +Create `packages/core/test/mockPlatform.ts`: +```ts +import type { Platform, Repo } from '../src/platform' + +function memRepo(): Repo { + const m = new Map() + return { + read: async (id) => m.get(id) ?? null, + list: async () => [...m.values()], + write: async (id, v) => void m.set(id, v), + delete: async (id) => void m.delete(id), + } +} +export function makeMockPlatform(over: Partial = {}): Platform { + return { + storage: { + settings: memRepo(), history: memRepo(), annotations: memRepo(), + dialInSessions: memRepo(), pourOverPrefs: memRepo(), schedules: memRepo(), + aiCache: { get: async () => null, set: async () => {} }, + images: { read: async () => null, write: async () => {}, delete: async () => {} }, + }, + secrets: { getAIConfig: () => ({ provider: 'gemini', apiKey: 'test' }) }, + machine: { getBaseUrl: () => 'http://machine.test:8080' }, + clock: () => 0, + logger: { info() {}, error() {}, debug() {} }, + ...over, + } +} +``` + +- [ ] **Step 8: Run the test and confirm it passes** + +Run: `cd packages/core && bun install && bunx vitest run` +Expected: PASS (1 test). + +- [ ] **Step 9: Commit** + +```bash +git add packages/core bun.lock +git commit -m "feat(core): scaffold @metic/core handler + Platform interface" +``` + +### Task 1.3: Rename `apps/web` → `apps/frontend` + +**Files:** +- Move: `apps/web` → `apps/frontend` +- Modify: any path references (`vite.config`, `tsconfig`, CI workflows, Dockerfile) pointing at `apps/web` + +- [ ] **Step 1: Move with git to preserve history** + +Run: `git mv apps/web apps/frontend` +Expected: directory moved, staged. + +- [ ] **Step 2: Find remaining references** + +Run: `grep -rn "apps/web" --include='*.yml' --include='*.yaml' --include='*.json' --include='*.ts' --include='*.sh' --include='Dockerfile*' . | grep -v node_modules` +Expected: a list of CI/build references (`.github/workflows/*`, `docker/Dockerfile.unified`, scripts). + +- [ ] **Step 3: Update each reference to `apps/frontend`** + +Edit every file from Step 2, replacing `apps/web` with `apps/frontend`. (Show the change per file as you go; do not use a blind sed across binary/lock files.) + +- [ ] **Step 4: Verify the frontend still builds and tests pass** + +Run: `cd apps/frontend && bun install && bun run build && bun run test:run` +Expected: build succeeds; existing test suite passes (unchanged behavior). + +- [ ] **Step 5: Commit** + +```bash +git add -A +git commit -m "refactor(monorepo): rename apps/web to apps/frontend" +``` + +### Task 1.4: Extract the native project into `apps/capacitor` + +**Files:** +- Create: `apps/capacitor/package.json` +- Move: `apps/frontend/ios` → `apps/capacitor/ios`, `apps/frontend/android` → `apps/capacitor/android` +- Move: `apps/frontend/capacitor.config.ts` → `apps/capacitor/capacitor.config.ts` +- Modify: `apps/capacitor/capacitor.config.ts` (`webDir`) + +- [ ] **Step 1: Inspect current Capacitor deps in the frontend manifest** + +Run: `grep -n "@capacitor" apps/frontend/package.json` +Expected: list of `@capacitor/*` core + plugin deps. + +- [ ] **Step 2: Create the native host manifest** + +Create `apps/capacitor/package.json` declaring `@capacitor/cli`, `@capacitor/core`, and each plugin from Step 1 (versions matched). Example shape: +```json +{ + "name": "@metic/capacitor", + "private": true, + "scripts": { + "sync": "cap sync", + "build:ios": "cap sync ios", + "build:android": "cd android && ./gradlew assembleDebug" + }, + "dependencies": { + "@capacitor/core": "MATCH", "@capacitor/ios": "MATCH", "@capacitor/android": "MATCH", + "@capacitor/preferences": "MATCH", "@capacitor/camera": "MATCH" + }, + "devDependencies": { "@capacitor/cli": "MATCH" } +} +``` +(Replace `MATCH` with the exact versions from Step 1. Keep plugin JS packages ALSO in `apps/frontend/package.json` since the SPA imports their APIs.) + +- [ ] **Step 3: Move native projects and config** + +Run: +```bash +git mv apps/frontend/ios apps/capacitor/ios +git mv apps/frontend/android apps/capacitor/android +git mv apps/frontend/capacitor.config.ts apps/capacitor/capacitor.config.ts +``` + +- [ ] **Step 4: Point `webDir` at the frontend build** + +In `apps/capacitor/capacitor.config.ts`, set `webDir: '../frontend/dist'` (keep all other config identical: appId, scheme, backgroundColor, androidScheme 'http', etc.). + +- [ ] **Step 5: Install and sync** + +Run: `cd apps/capacitor && bun install && bunx cap sync` +Expected: `cap` detects plugins from `apps/capacitor/package.json` and copies `../frontend/dist` into the native projects. (If plugin detection misses any, ensure it's listed in this manifest.) + +- [ ] **Step 6: Verify Android debug build** + +Run (per stored env memory): `ANDROID_HOME=/opt/homebrew/share/android-commandlinetools JAVA_HOME=/opt/homebrew/opt/openjdk@21/... apps/capacitor/android/gradlew -p apps/capacitor/android assembleDebug` +Expected: `BUILD SUCCESSFUL`. + +- [ ] **Step 7: Update CI + docs paths** + +Modify `.github/workflows/*` (Android/iOS jobs), `apps/frontend/android/README.md` references, and any script pointing at `apps/web/android` → `apps/capacitor/android`. Update the never-stage rule target to `apps/capacitor/ios/App/App.xcodeproj/project.pbxproj`. + +- [ ] **Step 8: Commit (do NOT stage project.pbxproj)** + +```bash +git restore --staged apps/capacitor/ios/App/App.xcodeproj/project.pbxproj 2>/dev/null || true +git add -A +git commit -m "refactor(monorepo): extract native wrapper into apps/capacitor" +``` + +**Phase 1 exit criteria:** `bun install` at root resolves workspaces; `@metic/core` builds + its 1 contract test passes; `apps/frontend` builds + full existing test suite green; `apps/capacitor` syncs + Android debug builds; CI path references updated. Python server untouched and still runnable. + +--- + +## Phase 2 — Core extraction (handler + logic + AI + machine client) + +**Goal:** Move all portable logic and routing from `DirectModeInterceptor.ts` + `apps/web/src/lib/*` + `apps/web/src/services/ai/*` into `packages/core`, behind the `Platform` interface. This is the substance of former issue #528, done as extraction rather than reshuffle. + +**Approach:** TDD, one route family at a time. For each, port the Python behavior AND the existing TS `*.direct.test` expectations into `packages/core/test/contract/` against `makeMockPlatform`, then move the implementation into `packages/core/src/routes/.ts`. The old `DirectModeInterceptor` becomes a thin shim that calls `handle()` (removed entirely in Phase 3). + +**Tasks (each = failing contract test → move impl → green → commit):** +- [ ] 2.1 `router.ts` + `handler.ts` dispatch table (method+path, params). Test: routing to a stub per family. +- [ ] 2.2 `machine/MachineClient.ts` — REST methods + `socket.io-client` telemetry stream, built from `platform.machine.getBaseUrl()`. Port from `DirectAdapter.ts` + `meticulous_service.py`. Tests: command URL/verb mapping, telemetry event normalization (mock socket). +- [ ] 2.3 `routes/machine.ts` — commands (start/stop/abort/continue/preheat/tare/home/purge/load-profile/brightness/sounds) + status/system-info. Contract tests mirror `commands.py` + `machine_status.py`. +- [ ] 2.4 `routes/profiles.ts` — CRUD/order/import/convert(decent)/target-curves/recommend/find-similar. Port `profiles.py` + `profile_recommendation_service.py` + `decent_converter.py` + `profileAnalysis.ts`. Reuse existing decent/recommendation tests as contract tests. +- [ ] 2.5 `routes/shots.ts` — last-shot/dates/files/data/by-profile/annotate/analyze/analyze-recommendations + `shotFacts`. Port `shots.py` + `shot_facts.py` + `shotFacts.ts`. +- [ ] 2.6 `routes/analysis.ts` + `ai/*` — move `services/ai/{providers,prompts,retryUtils,modelResolver,analysisKnowledge}` into `core/ai`; wire analyze-llm + compass + validation + `analysisLint`. Multi-provider via `platform.secrets.getAIConfig()`. Port `analysis_service.py`, `analysis_validator.py`, `compass_rules.py`, `validation_service.py`. +- [ ] 2.7 `routes/dialin.ts` — sessions CRUD/iterations/recommend/complete. Port `dialin_service.py`. +- [ ] 2.8 `routes/pourover.ts` + `routes/recipes.ts` — prepare/prepare-recipe/cleanup/active/preferences; recipes list/get. Port `pour_over_*`, `recipe_adapter.py`. +- [ ] 2.9 `routes/schedules.ts` — returns `501` when `platform.scheduler` is absent; otherwise CRUD via `platform.storage.schedules` + `platform.scheduler`. Port `scheduling.py` + `scheduling_state.py`. +- [ ] 2.10 `routes/system.ts` — health/version/available-models/settings(get,post)/changelog/network-ip/logs. Tailscale + update endpoints handled in the server host (Phases 4–5), not core. +- [ ] 2.11 `generationProgress.ts` — shared tracker (port `generation_progress.py`). Analysis/generation routes emit progress into it. + +**Exit criteria:** every route family has contract tests against `makeMockPlatform` that encode the frozen `/api/*` schemas; `@metic/core` test suite (ported from Python `test_main.py` behaviors + existing TS tests) is green; no route logic remains outside `core`. + +--- + +## Phase 3 — Browser Platform impl + frontend host binding + +**Goal:** Make `apps/frontend` consume `@metic/core` in direct mode with **identical native behavior**, and delete the old `DirectModeInterceptor` body. + +**Tasks:** +- [ ] 3.1 `src/platform/browser.ts` — implement `Platform` using existing `AppDatabase` (IndexedDB) + `CapacitorStorage`/`directModeStorage` for repos; `secrets.getAIConfig()` from user settings; `machine.getBaseUrl()` from stored URL; `scheduler` OMITTED (schedules route returns 501 as today); `images` BlobStore over IndexedDB blobs; `aiCache` over IndexedDB with TTL. Tests: reuse `directModeStorage.test.ts` / `AppDatabase.test.ts` adapted to the `Repo` API. +- [ ] 3.2 `src/host/fetchHost.ts` — port the `window.fetch` patch + `isMeticAIProxyApiPath`/`getDirectRequestContext` from `directModeHttp.ts`; on match, build a `Request` and return `await handle(req, browserPlatform)`. Tests: intercept matrix (which paths are intercepted vs passthrough), mirroring `directModeHttp.test.ts`. +- [ ] 3.3 `main.tsx` — replace `installDirectModeInterceptor()` with `installFetchHost()` (same `isDirectMode() && !isDemoMode()` gate). +- [ ] 3.4 Delete `DirectModeInterceptor.ts` + `directModeHttp.ts` + moved `lib/*`/`services/ai/*`; update imports to `@metic/core`. Run `apps/frontend` full suite + all `*.direct.test.*` green. +- [ ] 3.5 Client-side image normalization (spec §6): ensure HEIF→JPEG + resize happen in the frontend (Canvas/`createImageBitmap`) for BOTH modes before bytes reach the AI module, so neither Bun nor the machine needs an image library. Audit the current native image path (Camera plugin/Canvas); add a shared `normalizeImage()` util in the frontend if server mode previously relied on Python `pillow`. Tests: HEIF and oversized JPEG inputs produce a bounded JPEG. +- [ ] 3.6 Manual/E2E parity check on device (native): profile gen, shot analysis, compass, dial-in, pour-over, image upload/gen — behavior unchanged. + +**Exit criteria:** `apps/frontend` runs entirely on `@metic/core` in direct mode; native behavior identical; image normalization is client-side; all frontend + direct tests green; `DirectModeInterceptor` deleted. Python server still running for browser/proxy users (unchanged). + +--- + +## Phase 4 — Node Platform impl + Bun server host + +**Goal:** Stand up `apps/server` (Bun) serving the same `@metic/core` handler for proxy-mode browsers, in parallel with the still-present Python server (different port during dev). + +**Tasks:** +- [ ] 4.1 `platform/repos/*` — fs-JSON repos mapping to the EXISTING `/data` files/shapes (`settings.json`, `profile_history.json`, `scheduled_shots.json`, `recurring_schedules.json`, annotations, cache JSON, PNG image dir). Atomic temp-file + rename writes. Tests: read a fixture `/data` dir (copied from a real 2.x volume) and assert parity with Python reads; write-then-read round-trips. +- [ ] 4.2 `platform/node.ts` — assemble repos + `secrets.getAIConfig()` from env (`AI_PROVIDER`/`AI_API_KEY`, `GEMINI_API_KEY`/`GEMINI_MODEL`) + `machine.getBaseUrl()` from `METICULOUS_IP` + real `scheduler` (setTimeout/cron over the `schedules` repo) + fs BlobStore + TTL `aiCache`. +- [ ] 4.3 `machineProxy.ts` — transparent reverse proxy `/api/v1/*` → `${METICULOUS_IP}/api/v1/*` (stream body, copy headers/status). Tests: proxied GET/POST against a mock machine server. +- [ ] 4.4 `telemetryHub.ts` — one upstream `socket.io-client` to the machine; fan out to browser clients over a native `Bun.serve` WebSocket at `/api/ws/live`, emitting the FROZEN message shape (match today's `websocket.py`). Tests: connect a mock upstream, assert clients receive normalized frames; reconnect handling. +- [ ] 4.5 `server.ts` + `main.ts` — `Bun.serve` fetch: `/api/ws/live` → hub; `/api/v1/*` → proxy; `/api/*` → `handle(req, nodePlatform)`; else → static (`static.ts` serving `frontend/dist`). SSE for `/api/generate/progress` via `ReadableStream` reading `generationProgress`. `main.ts` argv: `serve` (default) | `healthcheck`. Do NOT add any server-side image library (`sharp`/libvips) — image bytes arrive pre-normalized from the frontend (see 3.5); the AI module forwards them as-is. +- [ ] 4.6 Point a proxy-mode frontend build at the Bun server; run existing browser/proxy E2E (`apps/frontend/e2e`) against it with a mock machine. + +**Exit criteria:** Bun server answers the full `/api/*` contract identically to Python (same contract suite passes against `nodePlatform` + a live server E2E); reads an existing `/data` fixture without migration; telemetry + SSE + proxy work. Python server still present but now redundant. + +--- + +## Phase 5 — Tailscale, health, startup/migration + +**Goal:** Restore the remaining server-only surfaces on Bun without subprocess. + +**Tasks:** +- [ ] 5.1 `tailscale.ts` — `getStatus()` via `fetch('http://local-tailscaled.sock/localapi/v0/status', { unix: '/var/run/tailscale/tailscaled.sock' })`; parse into the existing `/api/tailscale-status` shape. `configure()` stores `tailscaleEnabled`/`tailscaleAuthKey` in settings and (optionally) brings the node up via LocalAPI. Wire `/api/tailscale-status` + `/api/tailscale/configure` in `server.ts`. Tests: mock unix-socket server returning a status JSON. +- [ ] 5.2 `healthcheck.ts` — `main.ts healthcheck` pings `http://localhost:3550/health`, exit 0/1. Test: against a running server. +- [ ] 5.3 `startup.ts` — seed `PourOverBase.json` + recipes into `/data` if missing; run non-destructive one-shot migration (version stamp file); rehydrate scheduler from `schedules` repo. Tests: empty `/data` gets seeded; existing `/data` untouched; scheduled shots reloaded. + +**Exit criteria:** Tailscale status/configure work via LocalAPI; health subcommand works; startup seeds/migrates non-destructively and rehydrates schedules. + +--- + +## Phase 6 — Container (distroless single binary + size gate) + +**Goal:** Produce the slim single-process image. + +**Tasks:** +- [ ] 6.1 Rewrite `docker/Dockerfile.unified`: stage 1 `bun run build` (frontend → dist); stage 2 `bun build --compile --target=bun-linux- apps/server/src/main.ts --outfile metic`; stage 3 `FROM gcr.io/distroless/cc` + copy `metic` + `frontend/dist` + default data templates; `ENV` kept vars only; `HEALTHCHECK` → `["/metic","healthcheck"]`; `ENTRYPOINT ["/metic"]`; `EXPOSE 3550`. (Fallback: alpine + musl target if `--compile` fights a dep.) +- [ ] 6.2 Build multi-arch (amd64/arm64) locally; run the image against a mock machine; smoke-test `/health`, static, `/api/*`, `/api/ws/live`. +- [ ] 6.3 Add a CI **image-size gate**: fail if compressed image > threshold (set threshold ~120 MB with headroom after measuring the first successful build). + +**Exit criteria:** image builds multi-arch, boots as one process, serves everything; size gate green and well under today's few-hundred-MB. + +--- + +## Phase 7 — Cutover, parity-test port, rollout + +**Goal:** Delete Python and flip the deployment, with the parity net and a safe beta rollout. + +**Tasks:** +- [ ] 7.1 Port remaining `apps/server/test_main.py` behavioral assertions not yet covered into `packages/core/test/contract/` (aim for coverage parity of the frozen `/api/*` contract). Verify counts against the old suite. +- [ ] 7.2 Delete `apps/server` (Python), `apps/mcp-server`, `apps/bridge`; remove `docker/mosquitto*.conf`, `docker/nginx.conf`, `docker/s6-rc.d/`, `docker-compose.homeassistant.yml`; strip `MQTT_*`/`MCP_SERVER_PORT`/`SERVER_PORT` from compose + docs; drop `mosquitto-data` volume. +- [ ] 7.3 Update `docker-compose.yml` (same image/tag/port/`meticai-data` volume/Watchtower label), `docker-compose.tailscale.yml` (add shared `/var/run/tailscale` socket mount), README/HOME_ASSISTANT.md/TAILSCALE.md/UPDATING.md with deprecation notices (HA/MQTT, MCP endpoint, in-UI self-updater → Watchtower). +- [ ] 7.4 CI: replace Python test/lint/build jobs with `@metic/core` + `apps/server` Bun tests, the image build + size gate, and the Bun-server E2E. Keep frontend + Android/iOS jobs (repathed). +- [ ] 7.5 Bump `VERSION` + `apps/frontend/package.json` to `3.0.0-beta.1`. Publish under a **beta tag only**; keep `latest` on 2.x. Real-device validation: machine + LAN browser + Capacitor. Promote to `latest` only after validation, with migration notes. + +**Exit criteria:** no Python in the repo/image; full CI green (core contract + Bun E2E + frontend + native builds + image-size gate); existing `/data` volume upgrades seamlessly; HA/MCP/self-updater deprecated with notices; Tailscale UI retained; 3.0.0-beta published on beta tag, `latest` still 2.x. + +--- + +## Global testing & commit conventions + +- **TDD everywhere:** failing test → minimal impl → green → commit. New `core`/server code needs tests in the respective `test/` dir; test both success and failure/edge paths. +- **Frozen contracts are the oracle:** `/api/*` schemas, `/api/ws/live` message shape, `/data` on-disk formats. Any diff from 2.x here is a release blocker. +- **Dual-runtime parity:** because both hosts call the same `handle()`, parity is structural; keep contract tests to lock it. +- **Commits:** Conventional Commits + `Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>`. Never stage `apps/capacitor/ios/App/App.xcodeproj/project.pbxproj`. +- **i18n:** any new user-facing strings use `t()` across all 6 locales (`en`, `sv`, `de`, `es`, `fr`, `it`). + +## Follow-ups (out of scope) + +- SQLite migration behind the same `Storage`/`Repo` interface (separate issue; no user-facing migration). +- Optional future TS reimplementation of the MCP server as an opt-in image. From 61ada1c8e8e842e9bc53b4fa7deb855b158138c0 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 01:27:20 +0200 Subject: [PATCH 03/62] feat(core): scaffold @metic/core handler + Platform interface Establishes the architectural keystone for the 3.0.0 unified TS core: a single Web-standard request handler handle(req, platform) plus the Platform interface that is the sole seam between portable logic and each host runtime (browser direct mode, Bun proxy mode). Includes an in-memory mock Platform and a contract-test harness that locks the frozen /api/* contract host-independently. Refs #532 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 4 + packages/core/bun.lock | 166 +++++++++++++++++++++++++++++ packages/core/package.json | 21 ++++ packages/core/src/handler.ts | 22 ++++ packages/core/src/http.ts | 19 ++++ packages/core/src/index.ts | 17 +++ packages/core/src/platform.ts | 71 ++++++++++++ packages/core/test/handler.test.ts | 26 +++++ packages/core/test/mockPlatform.ts | 67 ++++++++++++ packages/core/tsconfig.json | 17 +++ 10 files changed, 430 insertions(+) create mode 100644 packages/core/bun.lock create mode 100644 packages/core/package.json create mode 100644 packages/core/src/handler.ts create mode 100644 packages/core/src/http.ts create mode 100644 packages/core/src/index.ts create mode 100644 packages/core/src/platform.ts create mode 100644 packages/core/test/handler.test.ts create mode 100644 packages/core/test/mockPlatform.ts create mode 100644 packages/core/tsconfig.json diff --git a/.gitignore b/.gitignore index 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"./http"; + +/** + * The single shared request handler for the unified TS core. + * + * Both runtimes route Meticulous API requests through this function: + * - the browser installs it over `window.fetch` for direct (native) mode, + * - the Bun server consumes it via `Bun.serve({ fetch })` for proxy mode. + * + * Route families are registered incrementally in Phase 2; for now the handler + * exposes only the health probe so the contract harness can lock the contract. + */ +export async function handle(req: Request, _platform: Platform): Promise { + const { pathname } = new URL(req.url); + + if (req.method === "GET" && pathname === "/api/health") { + return jsonResponse({ status: "ok" }); + } + + return notFound(`No route for ${req.method} ${pathname}`); +} diff --git a/packages/core/src/http.ts b/packages/core/src/http.ts new file mode 100644 index 00000000..b9a23707 --- /dev/null +++ b/packages/core/src/http.ts @@ -0,0 +1,19 @@ +/** Web-standard Response helpers shared by every route in the core. */ + +const JSON_HEADERS = { "Content-Type": "application/json" } as const; + +export function jsonResponse(data: unknown, status = 200): Response { + return new Response(JSON.stringify(data), { status, headers: JSON_HEADERS }); +} + +export function errorResponse(message: string, status = 400): Response { + return jsonResponse({ error: message }, status); +} + +export function notFound(message = "Not found"): Response { + return errorResponse(message, 404); +} + +export function notImplemented(message = "Not supported"): Response { + return errorResponse(message, 501); +} diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts new file mode 100644 index 00000000..1a5f68f8 --- /dev/null +++ b/packages/core/src/index.ts @@ -0,0 +1,17 @@ +export { handle } from "./handler"; +export { + jsonResponse, + errorResponse, + notFound, + notImplemented, +} from "./http"; +export type { + Platform, + PlatformStorage, + Repo, + Cache, + BlobStore, + Scheduler, + Logger, + AIConfig, +} from "./platform"; diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts new file mode 100644 index 00000000..0bdfbfd5 --- /dev/null +++ b/packages/core/src/platform.ts @@ -0,0 +1,71 @@ +/** + * The Platform interface is the single seam of the unified TS core. + * + * `handle(request, platform)` is a Web-standard request handler shared by both + * runtimes: the browser installs it over `window.fetch` (direct mode) and the + * Bun server consumes it via `Bun.serve({ fetch })` (proxy mode). Every host + * dependency (storage, secrets, machine URL, scheduling, clock, logging) is + * reached exclusively through this interface, so the core stays free of any + * environment-specific API. + */ + +/** A CRUD repository for a single collection of documents keyed by id. */ +export interface Repo { + read(id: string): Promise; + list(): Promise; + write(id: string, value: T): Promise; + delete(id: string): Promise; +} + +/** A time-to-live cache used for AI responses and other derived data. */ +export interface Cache { + get(key: string): Promise; + set(key: string, value: T, ttlMs?: number): Promise; +} + +/** Binary blob storage (e.g. profile images). */ +export interface BlobStore { + read(key: string): Promise; + write(key: string, bytes: Uint8Array): Promise; + delete(key: string): Promise; +} + +/** Deferred/recurring task scheduling. Absent on hosts that cannot schedule. */ +export interface Scheduler { + schedule(id: string, at: number, run: () => Promise): void; + cancel(id: string): void; +} + +export interface Logger { + info(message: string, extra?: unknown): void; + error(message: string, extra?: unknown): void; + debug(message: string, extra?: unknown): void; +} + +/** Resolved AI provider configuration (provider-agnostic). */ +export interface AIConfig { + provider: string; + apiKey: string; + model?: string; +} + +export interface PlatformStorage { + settings: Repo>; + history: Repo; + annotations: Repo; + dialInSessions: Repo; + pourOverPrefs: Repo; + schedules: Repo; + aiCache: Cache; + images: BlobStore; +} + +export interface Platform { + storage: PlatformStorage; + secrets: { getAIConfig(): AIConfig }; + machine: { getBaseUrl(): string }; + /** Optional: hosts without a scheduler cause schedule routes to return 501. */ + scheduler?: Scheduler; + clock: () => number; + logger: Logger; +} diff --git a/packages/core/test/handler.test.ts b/packages/core/test/handler.test.ts new file mode 100644 index 00000000..2387a5ec --- /dev/null +++ b/packages/core/test/handler.test.ts @@ -0,0 +1,26 @@ +import { describe, it, expect } from "vitest"; +import { handle } from "../src/handler"; +import { makeMockPlatform } from "./mockPlatform"; + +describe("core handler contract", () => { + const platform = makeMockPlatform(); + + it("answers the health probe", async () => { + const res = await handle( + new Request("http://local/api/health"), + platform, + ); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ status: "ok" }); + }); + + it("returns 404 for an unknown route", async () => { + const res = await handle( + new Request("http://local/api/does-not-exist"), + platform, + ); + expect(res.status).toBe(404); + const body = (await res.json()) as { error: string }; + expect(body.error).toContain("/api/does-not-exist"); + }); +}); diff --git a/packages/core/test/mockPlatform.ts b/packages/core/test/mockPlatform.ts new file mode 100644 index 00000000..15f89dc0 --- /dev/null +++ b/packages/core/test/mockPlatform.ts @@ -0,0 +1,67 @@ +import type { Platform, Repo, Cache, BlobStore } from "../src/platform"; + +/** In-memory Repo backing the mock Platform. */ +function memRepo(): Repo { + const store = new Map(); + return { + read: async (id) => store.get(id) ?? null, + list: async () => [...store.values()], + write: async (id, value) => void store.set(id, value), + delete: async (id) => void store.delete(id), + }; +} + +function memCache(): Cache { + const store = new Map(); + return { + get: async (key: string) => { + const hit = store.get(key); + if (!hit) return null; + if (hit.expires !== 0 && hit.expires < Date.now()) { + store.delete(key); + return null; + } + return hit.value as T; + }, + set: async (key: string, value: T, ttlMs?: number) => { + store.set(key, { + value, + expires: ttlMs && ttlMs > 0 ? Date.now() + ttlMs : 0, + }); + }, + }; +} + +function memBlobStore(): BlobStore { + const store = new Map(); + return { + read: async (key) => store.get(key) ?? null, + write: async (key, bytes) => void store.set(key, bytes), + delete: async (key) => void store.delete(key), + }; +} + +/** + * A fully in-memory Platform for contract tests. Every route family's + * behaviour is verified against this double so the frozen `/api/*` contract is + * host-independent. + */ +export function makeMockPlatform(overrides: Partial = {}): Platform { + return { + storage: { + settings: memRepo(), + history: memRepo(), + annotations: memRepo(), + dialInSessions: memRepo(), + pourOverPrefs: memRepo(), + schedules: memRepo(), + aiCache: memCache(), + images: memBlobStore(), + }, + secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "test" }) }, + machine: { getBaseUrl: () => "http://machine.test:8080" }, + clock: () => 0, + logger: { info() {}, error() {}, debug() {} }, + ...overrides, + }; +} diff --git a/packages/core/tsconfig.json b/packages/core/tsconfig.json new file mode 100644 index 00000000..997f2ff2 --- /dev/null +++ b/packages/core/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ESNext", + "moduleResolution": "bundler", + "lib": ["ES2022", "DOM"], + "strict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "esModuleInterop": true, + "skipLibCheck": true, + "types": ["vitest/globals"], + "verbatimModuleSyntax": true, + "noEmit": true + }, + "include": ["src", "test"] +} From 1106d952eb009642ba0853b46a9d68af903f3179 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 01:30:50 +0200 Subject: [PATCH 04/62] refactor(core): extract compass rules into @metic/core First Phase 2 extraction slice, proving the extract-and-rewire mechanism end-to-end: the pure Espresso-Compass logic now lives canonically in @metic/core (with its test as a core contract test), and the frontend consumes it via a file: workspace dependency. Verified green: core tests, frontend vitest, and the full vite build all resolve the linked package. Refs #532, #528 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/bun.lock | 3 ++ apps/web/package.json | 1 + apps/web/src/lib/compassRules.test.ts | 17 -------- apps/web/src/lib/compassRules.ts | 47 +++++---------------- packages/core/package.json | 3 +- packages/core/src/logic/compass.ts | 38 +++++++++++++++++ packages/core/test/contract/compass.test.ts | 21 +++++++++ 7 files changed, 76 insertions(+), 54 deletions(-) delete mode 100644 apps/web/src/lib/compassRules.test.ts create mode 100644 packages/core/src/logic/compass.ts create mode 100644 packages/core/test/contract/compass.test.ts diff --git a/apps/web/bun.lock b/apps/web/bun.lock index 8dbc5565..c7227642 100644 --- a/apps/web/bun.lock +++ b/apps/web/bun.lock @@ -27,6 +27,7 @@ "@google/genai": "^1.52.0", "@heroicons/react": "^2.2.0", "@hookform/resolvers": "^5.4.0", + "@metic/core": "file:../../packages/core", "@meticulous-home/espresso-api": "^0.11.1", "@meticulous-home/espresso-profile": "^0.4.2", "@octokit/core": "^7.0.6", @@ -672,6 +673,8 @@ "@mediapipe/tasks-genai": ["@mediapipe/tasks-genai@0.10.27", "", {}, "sha512-cv69CPPAtEDBUs6dGZft2S+sBqde1XvEMST367siSyxrhffdWtm4uQIsfdedAbhJ33BwAjuMnAdxDrO9WrzIAQ=="], + "@metic/core": ["@metic/core@file:../../packages/core", { "devDependencies": { "typescript": "^6.0.3", "vitest": "4.1.5" } }], + "@meticulous-home/espresso-api": ["@meticulous-home/espresso-api@0.11.1", "", { "dependencies": { "@meticulous-home/espresso-profile": "^0.4.2", "axios": "^1.6.8", "socket.io-client": "^4.7.5" } }, "sha512-YKFOt6Ei3AlAhqfvFrIhaiuv+UBhC2uxdRcp2jDePHPm88F3o8fBxP6xre7zrgn/NYRFPbho9NzbO4dCUOyKyw=="], "@meticulous-home/espresso-profile": ["@meticulous-home/espresso-profile@0.4.2", "", {}, "sha512-VNk5X8kDVa40UcCKqATFPh0vVtcBkrXhz1Jqap/M2HBjNgGBgZ6c9Im13evQpXVqDiqFspion5mG1MXN8fZ1vw=="], diff --git a/apps/web/package.json b/apps/web/package.json index 5a9126ae..d029f595 100644 --- a/apps/web/package.json +++ b/apps/web/package.json @@ -50,6 +50,7 @@ "@hookform/resolvers": "^5.4.0", "@meticulous-home/espresso-api": "^0.11.1", "@meticulous-home/espresso-profile": "^0.4.2", + "@metic/core": "file:../../packages/core", "@octokit/core": "^7.0.6", "@phosphor-icons/react": "^2.1.10", "@radix-ui/colors": "^3.0.0", diff --git a/apps/web/src/lib/compassRules.test.ts b/apps/web/src/lib/compassRules.test.ts deleted file mode 100644 index 6f830365..00000000 --- a/apps/web/src/lib/compassRules.test.ts +++ /dev/null @@ -1,17 +0,0 @@ -import { describe, it, expect } from 'vitest' -import { compassAdjustments } from './compassRules' - -describe('compassAdjustments (D6)', () => { - it('sour + weak suggests finer and hotter', () => { - const adj = compassAdjustments(-0.8, -0.6) - const kinds = adj.map(a => a.kind) - expect(kinds).toContain('grind_finer') - expect(kinds.some(k => ['temp_up', 'ratio_up', 'dose_up'].includes(k))).toBe(true) - }) - it('bitter + strong suggests coarser', () => { - expect(compassAdjustments(0.8, 0.7).map(a => a.kind)).toContain('grind_coarser') - }) - it('centered taste returns no changes', () => { - expect(compassAdjustments(0, 0)).toEqual([]) - }) -}) diff --git a/apps/web/src/lib/compassRules.ts b/apps/web/src/lib/compassRules.ts index 18a60399..3bcf3206 100644 --- a/apps/web/src/lib/compassRules.ts +++ b/apps/web/src/lib/compassRules.ts @@ -1,38 +1,13 @@ /** - * Deterministic Espresso-Compass taste -> dial-in adjustment rules (D6). - * X: -1 sour ... +1 bitter. Y: -1 weak/thin ... +1 strong/heavy. - * TS parity of apps/server/services/compass_rules.py — keep DEADBAND identical. + * Re-export of the Espresso-Compass rules, now canonically owned by + * `@metic/core`. Kept as a thin shim so existing frontend imports keep working + * while the 3.0.0 core extraction proceeds. */ - -export const COMPASS_DEADBAND = 0.25 - -export type CompassAdjustmentKind = - | 'grind_finer' | 'grind_coarser' | 'temp_up' | 'temp_down' - | 'ratio_up' | 'ratio_down' | 'dose_up' - -export interface CompassAdjustment { - kind: CompassAdjustmentKind - axis: 'x' | 'y' - reason: string -} - -export function compassAdjustments(tasteX: number, tasteY: number): CompassAdjustment[] { - const adjustments: CompassAdjustment[] = [] - - if (tasteX <= -COMPASS_DEADBAND) { - adjustments.push({ kind: 'grind_finer', axis: 'x', reason: 'Sour/acidic indicates under-extraction; grind finer to raise yield.' }) - adjustments.push({ kind: 'temp_up', axis: 'x', reason: 'A few degrees hotter increases extraction of sweet/bitter compounds.' }) - } else if (tasteX >= COMPASS_DEADBAND) { - adjustments.push({ kind: 'grind_coarser', axis: 'x', reason: 'Bitter/harsh indicates over-extraction; grind coarser to lower yield.' }) - adjustments.push({ kind: 'temp_down', axis: 'x', reason: 'A few degrees cooler reduces harsh bitter extraction.' }) - } - - if (tasteY <= -COMPASS_DEADBAND) { - adjustments.push({ kind: 'ratio_up', axis: 'y', reason: 'Weak/thin body; lower the brew ratio (less water per dose) for more concentration.' }) - adjustments.push({ kind: 'dose_up', axis: 'y', reason: 'A larger dose increases strength and body.' }) - } else if (tasteY >= COMPASS_DEADBAND) { - adjustments.push({ kind: 'ratio_down', axis: 'y', reason: 'Strong/heavy; raise the brew ratio (more water per dose) to lighten.' }) - } - - return adjustments -} +export { + COMPASS_DEADBAND, + compassAdjustments, +} from "@metic/core/logic/compass"; +export type { + CompassAdjustmentKind, + CompassAdjustment, +} from "@metic/core/logic/compass"; diff --git a/packages/core/package.json b/packages/core/package.json index 1d0e6d4b..b56fbe99 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -7,7 +7,8 @@ "types": "src/index.ts", "exports": { ".": "./src/index.ts", - "./platform": "./src/platform.ts" + "./platform": "./src/platform.ts", + "./logic/compass": "./src/logic/compass.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/logic/compass.ts b/packages/core/src/logic/compass.ts new file mode 100644 index 00000000..18a60399 --- /dev/null +++ b/packages/core/src/logic/compass.ts @@ -0,0 +1,38 @@ +/** + * Deterministic Espresso-Compass taste -> dial-in adjustment rules (D6). + * X: -1 sour ... +1 bitter. Y: -1 weak/thin ... +1 strong/heavy. + * TS parity of apps/server/services/compass_rules.py — keep DEADBAND identical. + */ + +export const COMPASS_DEADBAND = 0.25 + +export type CompassAdjustmentKind = + | 'grind_finer' | 'grind_coarser' | 'temp_up' | 'temp_down' + | 'ratio_up' | 'ratio_down' | 'dose_up' + +export interface CompassAdjustment { + kind: CompassAdjustmentKind + axis: 'x' | 'y' + reason: string +} + +export function compassAdjustments(tasteX: number, tasteY: number): CompassAdjustment[] { + const adjustments: CompassAdjustment[] = [] + + if (tasteX <= -COMPASS_DEADBAND) { + adjustments.push({ kind: 'grind_finer', axis: 'x', reason: 'Sour/acidic indicates under-extraction; grind finer to raise yield.' }) + adjustments.push({ kind: 'temp_up', axis: 'x', reason: 'A few degrees hotter increases extraction of sweet/bitter compounds.' }) + } else if (tasteX >= COMPASS_DEADBAND) { + adjustments.push({ kind: 'grind_coarser', axis: 'x', reason: 'Bitter/harsh indicates over-extraction; grind coarser to lower yield.' }) + adjustments.push({ kind: 'temp_down', axis: 'x', reason: 'A few degrees cooler reduces harsh bitter extraction.' }) + } + + if (tasteY <= -COMPASS_DEADBAND) { + adjustments.push({ kind: 'ratio_up', axis: 'y', reason: 'Weak/thin body; lower the brew ratio (less water per dose) for more concentration.' }) + adjustments.push({ kind: 'dose_up', axis: 'y', reason: 'A larger dose increases strength and body.' }) + } else if (tasteY >= COMPASS_DEADBAND) { + adjustments.push({ kind: 'ratio_down', axis: 'y', reason: 'Strong/heavy; raise the brew ratio (more water per dose) to lighten.' }) + } + + return adjustments +} diff --git a/packages/core/test/contract/compass.test.ts b/packages/core/test/contract/compass.test.ts new file mode 100644 index 00000000..9ae12db3 --- /dev/null +++ b/packages/core/test/contract/compass.test.ts @@ -0,0 +1,21 @@ +import { describe, it, expect } from "vitest"; +import { compassAdjustments } from "../../src/logic/compass"; + +describe("compassAdjustments (D6)", () => { + it("sour + weak suggests finer and hotter", () => { + const adj = compassAdjustments(-0.8, -0.6); + const kinds = adj.map((a) => a.kind); + expect(kinds).toContain("grind_finer"); + expect( + kinds.some((k) => ["temp_up", "ratio_up", "dose_up"].includes(k)), + ).toBe(true); + }); + it("bitter + strong suggests coarser", () => { + expect(compassAdjustments(0.8, 0.7).map((a) => a.kind)).toContain( + "grind_coarser", + ); + }); + it("centered taste returns no changes", () => { + expect(compassAdjustments(0, 0)).toEqual([]); + }); +}); From be91880b95ad063bbd59d232a770be0bf8b7313b Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 01:36:39 +0200 Subject: [PATCH 05/62] refactor(core): extract pure logic modules into @metic/core Moves the portable, framework-free logic into @metic/core as its canonical home, each with its test as a core contract test (253 tests total): analysisSchema, shotFacts, analysisLint, uuid, decentConverter, tags, profileAnalysis, profileRecommendation. Frontend paths become thin re-export shims (via the @metic/core file: dependency) so all existing importers keep working unchanged. This is the substance of former issue #528 done as extraction toward the unified core. Verified green: 253 core contract tests + typecheck; 1118 frontend tests (migrated suites now live in core); full vite build resolves the linked package. Refs #532, #528 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/lib/analysisLint.ts | 156 +------ apps/web/src/lib/analysisSchema.ts | 19 +- apps/web/src/lib/profileAnalysis.ts | 425 +----------------- apps/web/src/lib/profileRecommendation.ts | 337 +------------- apps/web/src/lib/shotFacts.ts | 293 +----------- apps/web/src/lib/tags.ts | 223 +-------- apps/web/src/lib/uuid.ts | 32 +- apps/web/src/services/decentConverter.ts | 275 +----------- packages/core/package.json | 10 +- packages/core/src/logic/analysisLint.ts | 154 +++++++ packages/core/src/logic/analysisSchema.ts | 17 + packages/core/src/logic/decentConverter.ts | 273 +++++++++++ packages/core/src/logic/profileAnalysis.ts | 423 +++++++++++++++++ .../core/src/logic/profileRecommendation.ts | 335 ++++++++++++++ packages/core/src/logic/shotFacts.ts | 291 ++++++++++++ packages/core/src/logic/tags.ts | 221 +++++++++ packages/core/src/logic/uuid.ts | 30 ++ .../core/test/contract}/analysisLint.test.ts | 6 +- .../test/contract}/decentConverter.test.ts | 2 +- .../test/contract}/profileAnalysis.test.ts | 2 +- .../contract}/profileRecommendation.test.ts | 2 +- .../core/test/contract}/shotFacts.test.ts | 2 +- .../core/test/contract}/tags.test.ts | 2 +- .../core/test/contract}/uuid.test.ts | 2 +- packages/core/tsconfig.json | 1 - 25 files changed, 1778 insertions(+), 1755 deletions(-) create mode 100644 packages/core/src/logic/analysisLint.ts create mode 100644 packages/core/src/logic/analysisSchema.ts create mode 100644 packages/core/src/logic/decentConverter.ts create mode 100644 packages/core/src/logic/profileAnalysis.ts create mode 100644 packages/core/src/logic/profileRecommendation.ts create mode 100644 packages/core/src/logic/shotFacts.ts create mode 100644 packages/core/src/logic/tags.ts create mode 100644 packages/core/src/logic/uuid.ts rename {apps/web/src/lib => packages/core/test/contract}/analysisLint.test.ts (96%) rename {apps/web/src/services => packages/core/test/contract}/decentConverter.test.ts (99%) rename {apps/web/src/lib => packages/core/test/contract}/profileAnalysis.test.ts (99%) rename {apps/web/src/lib => packages/core/test/contract}/profileRecommendation.test.ts (98%) rename {apps/web/src/lib => packages/core/test/contract}/shotFacts.test.ts (99%) rename {apps/web/src/lib => packages/core/test/contract}/tags.test.ts (99%) rename {apps/web/src/lib => packages/core/test/contract}/uuid.test.ts (95%) diff --git a/apps/web/src/lib/analysisLint.ts b/apps/web/src/lib/analysisLint.ts index 36131bd1..b8aa0330 100644 --- a/apps/web/src/lib/analysisLint.ts +++ b/apps/web/src/lib/analysisLint.ts @@ -1,154 +1,2 @@ -/** - * Shot-analysis output linter. - * - * On-device models (e.g. Apple Intelligence) occasionally produce malformed - * analysis text — looping the same sentence dozens of times while omitting other - * sections. This module mirrors the validate-then-retry safety net used for - * AI-generated profiles (see profilePromptFull.ts / profileValidator.ts): it - * detects degenerate output so the caller can regenerate, and offers a - * best-effort repair that collapses runaway repetition when a retry still fails. - */ - -import type { ShotFacts } from './shotFacts' -import { REQUIRED_ANALYSIS_SECTIONS } from './analysisSchema' - -export interface AnalysisLintResult { - valid: boolean - /** Machine-readable issue codes (e.g. 'empty', 'repetition', 'low-diversity'). */ - issues: string[] -} - -/** Lines shorter than this are treated as structural (headers/bullets) and ignored. */ -const SUBSTANTIVE_MIN_LEN = 12 -/** A substantive line appearing this many times or more is runaway repetition. */ -const REPEAT_LIMIT = 4 -/** If unique substantive lines fall below this fraction, the output lacks diversity. */ -const MIN_DIVERSITY_RATIO = 0.5 -/** Minimum number of substantive lines before the diversity heuristic applies. */ -const MIN_LINES_FOR_DIVERSITY = 6 -/** Minimum trimmed length for any usable analysis. */ -const MIN_LENGTH = 40 - -function normalize(line: string): string { - return line.trim().replace(/\s+/g, ' ').toLowerCase() -} - -function isSubstantive(line: string): boolean { - const stripped = line.trim().replace(/^[-•*#>\d.\s]+/, '') - return stripped.length >= SUBSTANTIVE_MIN_LEN -} - -/** - * Inspect analysis text for the degenerate patterns produced by misbehaving - * models. Returns `valid: false` with one or more issue codes when the output - * should not be shown as-is. - */ -export function lintShotAnalysis(text: string): AnalysisLintResult { - const issues: string[] = [] - const trimmed = (text ?? '').trim() - - if (trimmed.length < MIN_LENGTH) { - issues.push('empty') - return { valid: false, issues } - } - - const substantive = trimmed.split('\n').filter(isSubstantive) - - const counts = new Map() - for (const line of substantive) { - const key = normalize(line) - counts.set(key, (counts.get(key) ?? 0) + 1) - } - - let maxRepeat = 0 - for (const count of counts.values()) { - if (count > maxRepeat) maxRepeat = count - } - if (maxRepeat >= REPEAT_LIMIT) { - issues.push('repetition') - } - - if (substantive.length >= MIN_LINES_FOR_DIVERSITY) { - const diversity = counts.size / substantive.length - if (diversity < MIN_DIVERSITY_RATIO) { - issues.push('low-diversity') - } - } - - return { valid: issues.length === 0, issues } -} - -/** - * Best-effort cleanup for malformed analysis text. Drops repeated substantive - * lines (keeping the first occurrence, preserving order) and collapses runs of - * blank lines. Structural lines (short headers/bullets) are always kept. - */ -export function repairShotAnalysis(text: string): string { - const seen = new Set() - const out: string[] = [] - let blankRun = 0 - - for (const line of (text ?? '').split('\n')) { - if (line.trim().length === 0) { - blankRun++ - if (blankRun <= 1) out.push('') - continue - } - blankRun = 0 - - if (isSubstantive(line)) { - const key = normalize(line) - if (seen.has(key)) continue - seen.add(key) - } - out.push(line) - } - - return out.join('\n').trim() -} - -/** Phrases that frame a stage exit as a failure/early stop. */ -const EARLY_EXIT_PATTERNS = [ - /terminat\w*\s+early/i, - /\bearly\s+terminat/i, - /ended?\s+(too\s+)?(early|prematurely)/i, - /\bcut\s+short\b/i, - /stopped?\s+before\s+reaching/i, -] -/** Phrases asserting channeling occurred. */ -const CHANNELING_ASSERTION = /\bchannel(?:ing|ed|s)?\b/i -/** Phrases that negate channeling (so we don't flag "no channeling"). */ -const CHANNELING_NEGATION = /\b(no|not|without|absence of|isn'?t|wasn'?t)\b[^.]{0,30}channel/i - -/** - * Reject analyses that contradict the deterministic ShotFacts. High precision: - * only flags clear, well-supported contradictions. - */ -export function validateAgainstFacts(text: string, facts: ShotFacts): AnalysisLintResult { - const issues: string[] = [] - const body = text ?? '' - - const hasTargetedWeightExit = facts.stages.some( - s => s.reached && s.trigger_type === 'weight' && s.trigger_class?.kind === 'targeted', - ) - if (hasTargetedWeightExit && EARLY_EXIT_PATTERNS.some(re => re.test(body))) { - issues.push('mischaracterized-targeted-exit') - } - - const anyChanneling = facts.stages.some(s => s.channeling?.channeling) - if (!anyChanneling && CHANNELING_ASSERTION.test(body) && !CHANNELING_NEGATION.test(body)) { - issues.push('unsupported-channeling') - } - - return { valid: issues.length === 0, issues } -} - -/** - * Verify the analysis contains each required section title (L1). Matches on the title text so - * it is robust to numbering/heading-level variations the model may introduce. - */ -export function checkStructure(text: string): AnalysisLintResult { - const body = (text ?? '').toLowerCase() - const missing = REQUIRED_ANALYSIS_SECTIONS.filter(s => !body.includes(s.toLowerCase())) - return { valid: missing.length === 0, issues: missing.length ? ['missing-sections'] : [] } -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/analysisLint"; diff --git a/apps/web/src/lib/analysisSchema.ts b/apps/web/src/lib/analysisSchema.ts index 3eb804cf..8fc70d75 100644 --- a/apps/web/src/lib/analysisSchema.ts +++ b/apps/web/src/lib/analysisSchema.ts @@ -1,17 +1,2 @@ -/** - * Single source of truth for the shot-analysis section structure (L2). - * Consumed by the prompt builders and the structural linter so the format the model is asked - * to produce and the format we validate can never drift apart. - * Mirror of apps/server/analysis_schema.py. - */ - -export const REQUIRED_ANALYSIS_SECTIONS = [ - 'Shot Performance', - 'Root Cause Analysis', - 'Setup Recommendations', - 'Profile Recommendations', - 'Profile Design Observations', -] as const - -/** Optional taste section appended when compass taste is supplied. */ -export const OPTIONAL_TASTE_SECTION = 'Taste-Based Recommendations' +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/analysisSchema"; diff --git a/apps/web/src/lib/profileAnalysis.ts b/apps/web/src/lib/profileAnalysis.ts index d42e6bd8..2d5c58e7 100644 --- a/apps/web/src/lib/profileAnalysis.ts +++ b/apps/web/src/lib/profileAnalysis.ts @@ -1,423 +1,2 @@ -/** - * Unified profile structural analysis module. - * - * TypeScript port of the Python `_extract_fingerprint()` and - * `_extract_name_tags()` from `profile_recommendation_service.py`. - * Single source of truth for profile analysis — used by the client-side - * recommendation engine and auto-tag derivation. - */ - -// ── Types ────────────────────────────────────────────────────────────────── - -export interface ProfileStage { - name?: string - type?: string - dynamics?: { - points?: unknown[][] - over?: string - interpolation?: string - } - limits?: { type?: string; value?: unknown }[] - exit_triggers?: { - type?: string - value?: unknown - comparison?: string - relative?: boolean - }[] -} - -export interface AnalyzableProfile { - name?: string - temperature?: number - final_weight?: number - stages?: ProfileStage[] -} - -export interface ProfileFingerprint { - stageTypes: string[] - controlMode: 'pressure' | 'flow' | 'mixed' | 'unknown' - hasPreinfusion: boolean - hasBloom: boolean - hasPulse: boolean - isFlat: boolean - peakPressure: number - maxFlow: number - isAdaptive: boolean - stageCount: number - techniqueTags: Set - temperature: number | null - finalWeight: number | null -} - -// ── Name keyword sets (match Python _NAME_KEYWORDS / _STAGE_KEYWORDS) ──── - -const NAME_KEYWORDS = new Set([ - 'fruity', 'chocolate', 'nutty', 'floral', 'caramel', 'berry', 'citrus', - 'sweet', 'balanced', 'creamy', 'syrupy', 'light', 'medium', 'dark', - 'modern', 'italian', 'lever', 'turbo', 'bloom', 'long', 'short', - 'pre-infusion', 'pulse', 'acidity', 'funky', 'thin', 'mouthfeel', - 'ristretto', 'lungo', 'allonge', 'espresso', 'filter', -]) - -const STAGE_KEYWORDS = new Set([ - 'preinfusion', 'pre-infusion', 'bloom', 'ramp', 'soak', 'infusion', - 'extraction', 'decline', 'taper', 'hold', 'pulse', 'turbo', 'lever', - 'flat', 'pressure', 'flow', -]) - -// ── Fingerprint extraction ───────────────────────────────────────────────── - -/** - * Extract a structural fingerprint from a profile. - * Faithful port of Python `_extract_fingerprint()`. - */ -export function extractFingerprint(profile: AnalyzableProfile): ProfileFingerprint { - const stages = profile.stages ?? [] - const temperature = profile.temperature ?? null - const finalWeight = profile.final_weight ?? null - - const stageTypes: string[] = [] - let peakPressure = 0 - let maxFlow = 0 - let hasPreinfusion = false - let hasBloom = false - let hasPulse = false - let isFlat = true - let isAdaptive = false - const techniqueTags = new Set() - - /** Check if a value is a $variable reference */ - const isVarRef = (v: unknown): boolean => typeof v === 'string' && v.startsWith('$') - - for (const stage of stages) { - const stype = (stage.type ?? '').toLowerCase() - stageTypes.push(stype) - const sname = (stage.name ?? '').toLowerCase() - - // Preinfusion detection (name-based) - if (sname.includes('preinfusion') || sname.includes('pre-infusion') || sname.includes('pre infusion')) { - hasPreinfusion = true - techniqueTags.add('preinfusion') - } - - // Bloom detection (name-based) - if (sname.includes('bloom') || sname.includes('soak')) { - hasBloom = true - techniqueTags.add('bloom') - } - - // Pulse detection - if (sname.includes('pulse')) { - hasPulse = true - techniqueTags.add('pulse') - } - - // Extract peak pressure and max flow from dynamics points - const dynamics = stage.dynamics - if (dynamics) { - const points = dynamics.points ?? [] - for (const point of points) { - if (Array.isArray(point) && point.length >= 2) { - // Check for $variable references → adaptive - if (isVarRef(point[0]) || isVarRef(point[1])) { - isAdaptive = true - continue - } - const yVal = Number(point[1]) - if (!isNaN(yVal)) { - if (stype === 'pressure' && yVal > peakPressure) peakPressure = yVal - if (stype === 'flow' && yVal > maxFlow) maxFlow = yVal - } - } - } - - // Check for flatness (all y-values the same in dynamics) - if (points.length >= 2) { - const yValues: number[] = [] - for (const p of points) { - if (Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) { - const val = Number(p[1]) - if (!isNaN(val)) yValues.push(val) - } - } - if (yValues.length > 0) { - const rounded = new Set(yValues.map(y => Math.round(y * 10) / 10)) - if (rounded.size > 1) { - isFlat = false - } - } - } - } - - // Extract pressure limits (also check for variable refs) - const limits = stage.limits ?? [] - for (const limitObj of limits) { - if (isVarRef(limitObj.value)) { isAdaptive = true; continue } - const ltype = (limitObj.type ?? '').toLowerCase() - const lval = limitObj.value - if (ltype === 'pressure' && lval != null) { - const pval = Number(lval) - if (!isNaN(pval) && pval > peakPressure) { - peakPressure = pval - } - } - } - - // Check exit triggers for variable refs - const exits = stage.exit_triggers ?? [] - for (const ex of exits) { - if (isVarRef(ex.value)) { isAdaptive = true } - } - - // Stage name technique keywords - for (const kw of ['lever', 'turbo', 'ramp', 'decline', 'taper']) { - if (sname.includes(kw)) { - techniqueTags.add(kw) - } - } - } - - // ── Structural bloom detection (content-based, not name-based) ── - // A stage with all dynamics points at near-zero flow/pressure AND a time-based exit - if (!hasBloom) { - for (const stage of stages) { - const stype = (stage.type ?? '').toLowerCase() - const pts = stage.dynamics?.points ?? [] - const exits = stage.exit_triggers ?? [] - const hasTimeExit = exits.some(e => (e.type ?? '').toLowerCase() === 'time') - - // Zero/near-zero flow stage with time exit = bloom/soak - if (stype === 'flow' && hasTimeExit && pts.length > 0) { - const yVals = pts - .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) - .map(p => Math.abs(Number(p[1]))) - .filter(v => !isNaN(v)) - if (yVals.length > 0 && yVals.every(v => v <= 0.1)) { - hasBloom = true - techniqueTags.add('bloom') - break - } - } - // Power stage with power ≤ 5 (near-zero pump) and time exit = bloom - if (stype === 'power' && hasTimeExit && pts.length > 0) { - const yVals = pts - .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) - .map(p => Math.abs(Number(p[1]))) - .filter(v => !isNaN(v)) - if (yVals.length > 0 && yVals.every(v => v <= 5)) { - hasBloom = true - techniqueTags.add('bloom') - break - } - } - } - } - - // ── Structural pre-infusion detection (content-based) ── - // First stage(s) with low pressure/flow or power-type pump fill, before higher-energy stages - if (!hasPreinfusion && stages.length >= 2) { - const first = stages[0] - const ftype = (first.type ?? '').toLowerCase() - - // Power-type first stage = pump fill pre-infusion - if (ftype === 'power') { - hasPreinfusion = true - techniqueTags.add('preinfusion') - } else { - const pts = first.dynamics?.points ?? [] - const yVals = pts - .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) - .map(p => Number(p[1])) - .filter(v => !isNaN(v)) - const maxY = yVals.length > 0 ? Math.max(...yVals) : Infinity - // Low pressure first stage (≤ 4 bar) or low flow first stage (≤ 2 ml/s) - if ((ftype === 'pressure' && maxY <= 4) || (ftype === 'flow' && maxY <= 2)) { - hasPreinfusion = true - techniqueTags.add('preinfusion') - } - } - } - - // Determine control mode - const pressureCount = stageTypes.filter(t => t === 'pressure').length - const flowCount = stageTypes.filter(t => t === 'flow').length - const total = pressureCount + flowCount - let controlMode: ProfileFingerprint['controlMode'] - - if (pressureCount > 0 && flowCount === 0) { - controlMode = 'pressure' - techniqueTags.add('pressure-profile') - } else if (flowCount > 0 && pressureCount === 0) { - controlMode = 'flow' - techniqueTags.add('flow-profile') - } else if (total > 0) { - controlMode = 'mixed' - techniqueTags.add('mixed-profile') - } else { - controlMode = 'unknown' - } - - // Pulse heuristic: many short stages (>4 stages often indicates pulse-like) - if (stages.length >= 5 && !hasPulse) { - hasPulse = true - techniqueTags.add('pulse') - } - - if (hasPreinfusion) techniqueTags.add('preinfusion') - if (hasBloom) techniqueTags.add('bloom') - if (isFlat && stages.length <= 2) techniqueTags.add('flat') - - return { - stageTypes, - controlMode, - hasPreinfusion, - hasBloom, - hasPulse, - isFlat: isFlat && stages.length <= 2, - peakPressure: Math.round(peakPressure * 10) / 10, - maxFlow: Math.round(maxFlow * 10) / 10, - isAdaptive, - stageCount: stages.length, - techniqueTags, - temperature, - finalWeight, - } -} - -// ── Name tag extraction ──────────────────────────────────────────────────── - -/** - * Extract keyword tags from profile name and stage names. - * Faithful port of Python `_extract_name_tags()`. - */ -export function extractNameTags(profile: AnalyzableProfile): Set { - const tags = new Set() - const name = (profile.name ?? '').toLowerCase() - - for (const kw of NAME_KEYWORDS) { - if (name.includes(kw)) { - tags.add(kw) - } - } - - const stages = profile.stages ?? [] - for (const stage of stages) { - const sname = (stage.name ?? '').toLowerCase() - for (const kw of STAGE_KEYWORDS) { - if (sname.includes(kw)) { - tags.add(kw) - } - } - } - - return tags -} - -// ── Temperature range grouping ───────────────────────────────────────────── - -/** - * Map a temperature to a human-readable range label matching PRESET_TAGS. - */ -export function temperatureRange(temp: number): string { - if (temp < 82) return 'Very low temp (<82°C)' - if (temp <= 84) return 'Low temp (82–84°C)' - if (temp <= 87) return 'Warm (85–87°C)' - if (temp <= 90) return 'Medium temp (88–90°C)' - if (temp <= 93) return 'High temp (91–93°C)' - return 'Very high temp (94°C+)' -} - -// ── Weight range grouping ────────────────────────────────────────────────── - -/** - * Map a target weight (grams) to an espresso size label. - */ -export function weightRange(weight: number): string { - if (weight <= 35) return 'Ristretto (≤35g)' - if (weight <= 44) return 'Normale (36–44g)' - if (weight <= 54) return 'Lungo (45–54g)' - return 'Allongé (55g+)' -} - -// ── Pressure range grouping ──────────────────────────────────────────────── - -/** - * Map peak pressure (bar) to a human-readable range label. - */ -export function pressureRange(pressure: number): string { - if (pressure <= 4) return 'Low pressure (≤4 bar)' - if (pressure <= 7) return 'Medium pressure (5–7 bar)' - if (pressure <= 9) return 'Standard pressure (8–9 bar)' - return 'High pressure (10+ bar)' -} - -// ── Structural tag derivation ────────────────────────────────────────────── - -/** Map internal fingerprint technique tags to PRESET_TAG labels. */ -const TECHNIQUE_TO_LABEL: Record = { - 'pressure-profile': 'Pressure-controlled', - 'flow-profile': 'Flow-controlled', - 'mixed-profile': 'Mixed-controlled', - 'preinfusion': 'Pre-infusion', - 'bloom': 'Bloom', - 'pulse': 'Pulse', - 'flat': 'Flat profile', - 'lever': 'Lever', - 'turbo': 'Turbo', - 'ramp': 'Ramp', - 'decline': 'Decline', - 'taper': 'Taper', -} - -/** - * Derive user-facing structural tags from a profile's stage data. - * Returns sorted PRESET_TAG labels. - * Pure function — no side effects, no caching. - * - * When `profile.stages` is `undefined` (e.g. partial data from a list endpoint), - * only temperature and weight tags are derived, plus name-based bloom/pre-infusion - * fallback. When `stages` is present, full fingerprint analysis runs. - */ -export function deriveStructuralTags(profile: AnalyzableProfile): string[] { - const tags = new Set() - - if (profile.stages !== undefined) { - // Full fingerprint analysis — stages available - const fp = extractFingerprint(profile) - - // Technique tags (bloom, pre-infusion, pulse, control mode, etc.) - for (const tt of fp.techniqueTags) { - const label = TECHNIQUE_TO_LABEL[tt] - if (label) tags.add(label) - } - - // Pressure range (from peak pressure across all stages) - if (fp.peakPressure > 0) { - tags.add(pressureRange(fp.peakPressure)) - } - - // Adaptive/parametric profile - if (fp.isAdaptive) { - tags.add('Adaptive') - } - } else { - // Partial profile — name-based fallback for bloom/pre-infusion - const name = (profile.name ?? '').toLowerCase() - if (name.includes('bloom') || name.includes('soak')) tags.add('Bloom') - if (name.includes('preinfusion') || name.includes('pre-infusion') || name.includes('pre infusion')) tags.add('Pre-infusion') - } - - // Temperature — available even in partial profiles - const temp = profile.temperature - if (temp != null) { - tags.add(temperatureRange(temp)) - } - - // Weight range — available even in partial profiles - const weight = profile.final_weight - if (weight != null) { - tags.add(weightRange(weight)) - } - - return [...tags].sort() -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/profileAnalysis"; diff --git a/apps/web/src/lib/profileRecommendation.ts b/apps/web/src/lib/profileRecommendation.ts index 8be88462..c3efc0f8 100644 --- a/apps/web/src/lib/profileRecommendation.ts +++ b/apps/web/src/lib/profileRecommendation.ts @@ -1,335 +1,2 @@ -/** - * Client-side profile recommendation engine. - * - * TypeScript port of the Python `ProfileRecommendationService` scoring - * logic from `profile_recommendation_service.py`. Runs entirely in the - * browser — no backend required. Used by DirectModeInterceptor to back - * the `/api/profiles/find-similar` and `/api/profiles/recommend` endpoints. - * - * Scoring allocates 100 points across 5 dimensions: - * - Stage structure fingerprint: 35 - * - Tag/keyword matching: 25 - * - Target weight similarity: 15 - * - Peak pressure similarity: 15 - * - Temperature similarity: 10 - */ - -import { - extractFingerprint, - extractNameTags, - temperatureRange, - type AnalyzableProfile, - type ProfileFingerprint, -} from './profileAnalysis' - -// ── Types ────────────────────────────────────────────────────────────────── - -export interface Recommendation { - profile_name: string - score: number - explanation: string - match_reasons: string[] -} - -// ── Jaccard similarity ───────────────────────────────────────────────────── - -function jaccard(a: Set, b: Set): number { - if (a.size === 0 && b.size === 0) return 0 - const union = new Set([...a, ...b]) - if (union.size === 0) return 0 - let intersection = 0 - for (const item of a) { - if (b.has(item)) intersection++ - } - return intersection / union.size -} - -// ── Proximity scoring ────────────────────────────────────────────────────── - -function proximityScore( - a: number | null, - b: number | null, - fullRange: number, - partialRange: number, - maxPoints: number, -): number { - if (a == null || b == null) return 0 - const diff = Math.abs(a - b) - if (diff <= fullRange) return maxPoints - if (diff <= partialRange) { - const frac = 1 - (diff - fullRange) / (partialRange - fullRange) - return Math.round(frac * maxPoints * 10) / 10 - } - return 0 -} - -// ── Main scoring function ────────────────────────────────────────────────── - -/** - * Score a candidate profile against user tags and fingerprint. - * Faithful port of Python `_score_profile()`. - */ -function scoreProfile( - userTags: Set, - userFingerprint: ProfileFingerprint | null, - candidate: AnalyzableProfile, -): { score: number; matchReasons: string[]; explanation: string } { - const reasons: string[] = [] - let score = 0 - - const candFp = extractFingerprint(candidate) - const candTags = extractNameTags(candidate) - - // --- Stage structure (35 points) --- - if (userFingerprint) { - let structScore = 0 - - // Control mode match (pressure/flow/mixed) — 12 pts - if (userFingerprint.controlMode === candFp.controlMode) { - structScore += 12 - if (candFp.controlMode !== 'unknown') { - reasons.push(`${candFp.controlMode.charAt(0).toUpperCase() + candFp.controlMode.slice(1)}-controlled`) - } - } else if ( - userFingerprint.controlMode !== 'unknown' && - candFp.controlMode !== 'unknown' - ) { - if (userFingerprint.controlMode === 'mixed' || candFp.controlMode === 'mixed') { - structScore += 4 - } - } - - // Technique feature overlap — 15 pts - const userTechniques = userFingerprint.techniqueTags - const candTechniques = candFp.techniqueTags - if (userTechniques.size > 0 || candTechniques.size > 0) { - const techSim = jaccard(userTechniques, candTechniques) - structScore += techSim * 15 - const overlap: string[] = [] - for (const t of userTechniques) { - // Skip 'flat' when isFlat match will already produce "Flat profile" reason - if (t === 'flat' && userFingerprint.isFlat && candFp.isFlat) continue - if (candTechniques.has(t)) overlap.push(t) - } - if (overlap.length > 0) { - reasons.push(`Techniques: ${overlap.sort().join(', ')}`) - } - } - - // Stage count similarity — 4 pts - const countDiff = Math.abs(userFingerprint.stageCount - candFp.stageCount) - if (countDiff === 0) structScore += 4 - else if (countDiff <= 1) structScore += 2 - else if (countDiff <= 2) structScore += 1 - - // Flat profile match — 4 pts - if (userFingerprint.isFlat === candFp.isFlat) { - structScore += 4 - if (candFp.isFlat) { - reasons.push('Flat profile') - } - } - - score += Math.min(structScore, 35) - } - - // --- Tag matching (25 points) --- - const userLower = new Set([...userTags].map(t => t.toLowerCase())) - // Normalize internal technique tags → user-facing labels + add derived tags - const techniqueToLabel: Record = { - 'pressure-profile': 'pressure-controlled', - 'flow-profile': 'flow-controlled', - 'mixed-profile': 'mixed-controlled', - } - const normalizedTechniqueTags = [...candFp.techniqueTags].map(t => - (techniqueToLabel[t] ?? t).toLowerCase(), - ) - const allCandTags = new Set([ - ...[...candTags].map(t => t.toLowerCase()), - ...normalizedTechniqueTags, - ]) - // Add control-mode as a derived tag - if (candFp.controlMode && candFp.controlMode !== 'unknown') { - allCandTags.add(`${candFp.controlMode}-controlled`) - } - // Add temperature range as a derived tag - if (candFp.temperature != null) { - allCandTags.add(temperatureRange(candFp.temperature).toLowerCase()) - } - if (userLower.size > 0) { - const tagSim = jaccard(userLower, allCandTags) - const tagPts = tagSim * 25 - score += tagPts - - const overlap: string[] = [] - for (const t of userLower) { - if (allCandTags.has(t)) overlap.push(t) - } - if (overlap.length > 0) { - // Filter out already-reported technique tags - const userTechTags = userFingerprint?.techniqueTags ?? new Set() - const tagOnly = overlap.filter(t => !userTechTags.has(t)) - if (tagOnly.length > 0) { - reasons.push(`Matching: ${tagOnly.sort().join(', ')}`) - } - } - } - - // --- Target weight (15 points) --- - const userWeight = userFingerprint?.finalWeight ?? null - const candWeight = candFp.finalWeight - const wPts = proximityScore(userWeight, candWeight, 2.0, 10.0, 15) - score += wPts - if (wPts >= 10 && candWeight != null) { - reasons.push(`Target weight: ${Math.round(candWeight)}g`) - } - - // --- Peak pressure (15 points) --- - const userPeak = userFingerprint?.peakPressure ?? 0 - const candPeak = candFp.peakPressure - if (userPeak > 0 && candPeak > 0) { - const pPts = proximityScore(userPeak, candPeak, 0.5, 3.0, 15) - score += pPts - if (pPts >= 10) { - reasons.push(`Peak pressure: ${candPeak.toFixed(1)} bar`) - } - } - - // --- Temperature (10 points) --- - const userTemp = userFingerprint?.temperature ?? null - const candTemp = candFp.temperature - const tPts = proximityScore(userTemp, candTemp, 2.0, 5.0, 10) - score += tPts - if (tPts >= 7 && candTemp != null) { - reasons.push(temperatureRange(candTemp)) - } - - const explanation = reasons.join('; ') - const finalScore = Math.min(Math.round(score * 10) / 10, 100) - - return { score: finalScore, matchReasons: reasons, explanation } -} - -// ── User fingerprint from tags ───────────────────────────────────────────── - -/** - * Build a synthetic fingerprint from user tags. - * Port of Python `_build_user_fingerprint()`. - */ -function buildUserFingerprint( - userTags: Set, -): ProfileFingerprint { - const techniqueTags = new Set() - - const tagToTechnique: Record = { - preinfusion: 'preinfusion', - 'pre-infusion': 'preinfusion', - bloom: 'bloom', - soak: 'bloom', - pulse: 'pulse', - lever: 'lever', - turbo: 'turbo', - ramp: 'ramp', - decline: 'decline', - taper: 'taper', - flat: 'flat', - pressure: 'pressure-profile', - flow: 'flow-profile', - 'pressure-controlled': 'pressure-profile', - 'flow-controlled': 'flow-profile', - 'mixed-controlled': 'mixed-profile', - } - - for (const tag of userTags) { - const tLower = tag.toLowerCase() - if (tLower in tagToTechnique) { - techniqueTags.add(tagToTechnique[tLower]) - } - } - - let controlMode: ProfileFingerprint['controlMode'] = 'unknown' - if (techniqueTags.has('pressure-profile')) controlMode = 'pressure' - else if (techniqueTags.has('flow-profile')) controlMode = 'flow' - else if (techniqueTags.has('mixed-profile')) controlMode = 'mixed' - - let stageCount = 2 - if (techniqueTags.has('preinfusion')) stageCount += 1 - if (techniqueTags.has('bloom')) stageCount += 1 - if (techniqueTags.has('pulse')) stageCount = Math.max(stageCount, 5) - - return { - stageTypes: [], - controlMode, - hasPreinfusion: techniqueTags.has('preinfusion'), - hasBloom: techniqueTags.has('bloom'), - hasPulse: techniqueTags.has('pulse'), - isFlat: techniqueTags.has('flat'), - peakPressure: 0, - maxFlow: 0, - isAdaptive: false, - stageCount, - techniqueTags, - temperature: null, - finalWeight: null, - } -} - -// ── Public API ───────────────────────────────────────────────────────────── - -/** - * Find profiles structurally similar to a given source profile. - * Port of Python `ProfileRecommendationService.find_similar()`. - */ -export function findSimilarProfiles( - sourceProfile: AnalyzableProfile, - allProfiles: AnalyzableProfile[], - limit = 10, -): Recommendation[] { - const sourceFp = extractFingerprint(sourceProfile) - const sourceTags = extractNameTags(sourceProfile) - const sourceName = sourceProfile.name ?? '' - - const scored: Recommendation[] = [] - for (const p of allProfiles) { - if ((p.name ?? '') === sourceName) continue - const { score, matchReasons, explanation } = scoreProfile(sourceTags, sourceFp, p) - scored.push({ - profile_name: p.name ?? 'Unknown', - score, - explanation, - match_reasons: matchReasons, - }) - } - - scored.sort((a, b) => b.score - a.score) - return scored.filter(s => s.score > 0).slice(0, limit) -} - -/** - * Get profile recommendations based on user-selected tags. - * Port of Python `ProfileRecommendationService.get_recommendations()`. - */ -export function getRecommendations( - tags: string[], - allProfiles: AnalyzableProfile[], - limit = 5, -): Recommendation[] { - if (allProfiles.length === 0) return [] - - const userTags = new Set(tags) - const userFingerprint = buildUserFingerprint(userTags) - - const scored: Recommendation[] = [] - for (const p of allProfiles) { - const { score, matchReasons, explanation } = scoreProfile(userTags, userFingerprint, p) - scored.push({ - profile_name: p.name ?? 'Unknown', - score, - explanation, - match_reasons: matchReasons, - }) - } - - scored.sort((a, b) => b.score - a.score) - return scored.filter(s => s.score > 0).slice(0, limit) -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/profileRecommendation"; diff --git a/apps/web/src/lib/shotFacts.ts b/apps/web/src/lib/shotFacts.ts index 4f7dca35..1ec68501 100644 --- a/apps/web/src/lib/shotFacts.ts +++ b/apps/web/src/lib/shotFacts.ts @@ -1,291 +1,2 @@ -/** - * Deterministic shot-fact derivation (#423 + diagnostic signals). - * TS parity of apps/server/services/shot_facts.py — keep thresholds identical. - */ - -// Threshold constants — keep identical to shot_facts.py -export const STALL_MIN_WEIGHT_GAIN_G = 0.5 -export const CHANNELING_PRESSURE_DROP_BAR = 1.5 -export const CHANNELING_FLOW_RISE_MLS = 1.5 -// #423 effective-mode thresholds (from the superseding issue comment): -export const EFFECTIVE_FLOW_TARGET_MIN = 6.0 -export const EFFECTIVE_FLOW_LIMIT_MAX = 3.0 -// #423 puck-failure detection thresholds: -export const YIELD_THRESHOLD = 0.10 // weight trigger within this of global target = final-yield stage -export const TOLERANCE_THRESHOLD = 0.20 // peak pressure must reach (1-this)×target to be "on-target" - -export type TriggerKind = 'targeted' | 'failsafe' | 'unknown' -export interface TriggerClass { kind: TriggerKind; label: string; reason: string } -export interface StallResult { stalled: boolean; weight_gain: number } -export interface ChannelingResult { channeling: boolean; pressure_drop: number; flow_rise: number } - -interface ExecutionData { - duration?: number; weight_gain?: number; end_weight?: number - start_pressure?: number; end_pressure?: number; avg_pressure?: number; max_pressure?: number; min_pressure?: number - start_flow?: number; end_flow?: number; avg_flow?: number; max_flow?: number -} -interface StageAnalysis { - stage_name?: string; stage_type?: string; type?: string - exit_triggers?: Array<{ type?: string }> - exit_trigger_result?: { triggered?: { type?: string; target?: number } | null } | null - execution_data?: ExecutionData | null - profile_target?: { target_value?: number } | unknown - profile_target_value?: number | null - profile_max_target?: number | null - limits?: Array<{ type?: string; value?: number }> -} -export interface ShotFactStage { - stage_name?: string - reached: boolean - control_mode?: string - declared_mode?: string - mode_overridden?: boolean - trigger_type?: string - trigger_class?: TriggerClass - stall?: StallResult - channeling?: ChannelingResult - curve_adherence?: { target: number; measured: number; delta: number } | null -} -export interface ShotFacts { - stages: ShotFactStage[] - phases: Array<{ stage_name?: string; phase: string; avg_pressure?: number; avg_flow?: number; weight_gain?: number }> - weight: { actual?: number; target?: number; deviation_pct?: number } - total_time_s?: number -} - -const n = (v: unknown): number => (typeof v === 'number' && !Number.isNaN(v) ? v : 0) -const r2 = (v: number): number => Math.round(v * 100) / 100 - -export interface ClassifyTriggerOptions { - triggerValue?: number | null - globalTargetWeight?: number | null - onTarget?: boolean | null - isTerminalStage?: boolean - weightOnTarget?: boolean | null -} - -export function classifyTrigger( - stageControlMode: string, - triggerType: string, - totalTriggers: number, - opts: ClassifyTriggerOptions = {}, -): TriggerClass { - const { triggerValue = null, globalTargetWeight = null, onTarget = null, isTerminalStage = false, weightOnTarget = null } = opts - if (!triggerType) { - // No exit trigger fired. A stage with no exit triggers defined transitions - // on its planned dynamics duration (intermediate stage) or ends when the - // shot reaches its global target weight (final stage) — both intentional. - if (totalTriggers === 0) { - if (isTerminalStage) { - if (weightOnTarget) { - return { kind: 'targeted', label: 'Targeted (yield reached)', reason: 'The final stage ended when the shot reached its target weight.' } - } - return { kind: 'unknown', label: 'Unknown', reason: 'The final stage has no exit trigger and the shot did not reach its target weight (likely a manual stop).' } - } - return { kind: 'targeted', label: 'Targeted (planned transition)', reason: 'The stage has no exit trigger; it transitions to the next stage on its planned dynamics duration.' } - } - // Exit triggers were defined but none of them fired. - return { kind: 'unknown', label: 'Unknown', reason: 'The stage defined exit triggers but none of them fired.' } - } - if (triggerType === 'weight') { - const nearFinal = - globalTargetWeight != null && globalTargetWeight > 0 && - triggerValue != null && triggerValue >= globalTargetWeight * (1 - YIELD_THRESHOLD) - if (nearFinal && onTarget === false) { - return { - kind: 'failsafe', - label: 'Failsafe (puck failure — yield hit off-target)', - reason: 'The final weight target was reached, but the stage never built its intended pressure, so the yield came from an uncontrolled extraction (likely channeling or a failed puck).', - } - } - if (!nearFinal && triggerValue != null && globalTargetWeight != null && globalTargetWeight > 0) { - return { - kind: 'targeted', - label: 'Targeted (stage yield / first-drip check)', - reason: 'Stage exited on an intermediate weight milestone below the final target.', - } - } - return { kind: 'targeted', label: 'Targeted (yield reached)', reason: 'Weight is the ultimate goal of the shot.' } - } - if (triggerType === 'time') { - return totalTriggers === 1 - ? { kind: 'targeted', label: 'Targeted (planned duration)', reason: 'Time is the only trigger, so this is an intentional timed stage.' } - : { - kind: 'targeted', - label: 'Targeted (timed transition)', - reason: 'The stage transitioned when its planned time elapsed; the other exit conditions simply did not fire first. A time exit is a valid, intended transition — a genuine timeout with no extraction is surfaced separately as a stall.', - } - } - if ((stageControlMode === 'flow' || stageControlMode === 'power') && triggerType === 'pressure') { - return { kind: 'targeted', label: 'Targeted (puck resistance achieved)', reason: 'Flow-controlled stage reached its intended pressure.' } - } - if ((stageControlMode === 'flow' || stageControlMode === 'power') && triggerType === 'flow') { - return { kind: 'targeted', label: 'Targeted (flow target reached)', reason: 'Flow-controlled stage reached its intended flow condition.' } - } - if (stageControlMode === 'pressure' && triggerType === 'flow') { - return totalTriggers === 1 - ? { kind: 'targeted', label: 'Targeted (planned flow transition)', reason: 'Flow is the only trigger, so the transition is intentional.' } - : { kind: 'failsafe', label: 'Failsafe (caught channeling or choking)', reason: 'Pressure-controlled stage exited on a flow backstop.' } - } - if (stageControlMode === 'pressure' && triggerType === 'pressure') { - return { kind: 'targeted', label: 'Targeted (pressure threshold reached)', reason: 'Pressure-controlled stage reached its target pressure.' } - } - return { kind: 'unknown', label: 'Unknown', reason: 'Trigger/control-mode combination is not classified.' } -} - -function resolveStageControlMode(stage: StageAnalysis): string { - const t = (stage.stage_type ?? stage.type ?? '').toLowerCase() - if (t.includes('flow')) return 'flow' - if (t.includes('pressure')) return 'pressure' - if (t.includes('power')) return 'power' - return 'unknown' -} - -function limitValue(stage: StageAnalysis, limitType: string): number | null { - const lim = (stage.limits ?? []).find(l => l.type === limitType) - if (!lim || typeof lim.value !== 'number' || Number.isNaN(lim.value)) return null - return lim.value -} - -/** - * Determine a stage's *effective* control mode, correcting for #423 cases where - * the declared type does not reflect the true intent. - * - * 1. Aggressive flow (peak target ≥ 6 ml/s) with a pressure limit ⇒ effectively - * pressure-controlled (the pressure limit governs). - * 2. A pressure stage with a highly restricted flow limit (≤ 3 ml/s) ⇒ - * effectively flow-controlled (can't build pressure). - * 3. Power stages are raw mechanical drive. - * - * Falls back to the declared control mode when no override applies. Mirror of - * shot_facts.effective_control_mode — keep the two in sync. - */ -export function effectiveControlMode(stage: StageAnalysis): string { - const declared = resolveStageControlMode(stage) - if (declared === 'power') return 'power' - const maxTarget = typeof stage.profile_max_target === 'number' ? stage.profile_max_target : null - const pressureLimit = limitValue(stage, 'pressure') - const flowLimit = limitValue(stage, 'flow') - if (declared === 'flow' && maxTarget != null && maxTarget >= EFFECTIVE_FLOW_TARGET_MIN && pressureLimit != null) { - return 'pressure' - } - if (declared === 'pressure' && flowLimit != null && flowLimit <= EFFECTIVE_FLOW_LIMIT_MAX) { - return 'flow' - } - return declared -} - -/** - * Whether a pressure-governed stage actually built its intended pressure (#423). - * - * Puck failure is only reliably detectable on pressure-governed extraction: a - * channelled/collapsed puck never lets pressure reach the intended band even - * though weight accrues. Flow-governed / power / target-less stages return null - * (a volumetric shot hitting weight is normal). Mirror of shot_facts._yield_stage_on_target. - */ -export function yieldStageOnTarget(stage: StageAnalysis, effectiveMode: string): boolean | null { - if (effectiveMode !== 'pressure') return null - let target = limitValue(stage, 'pressure') - if (target == null && resolveStageControlMode(stage) === 'pressure') { - target = typeof stage.profile_target_value === 'number' ? stage.profile_target_value : null - } - if (target == null || target === 0) return null - const maxPressure = stage.execution_data?.max_pressure - if (maxPressure == null) return null - return maxPressure >= (1 - TOLERANCE_THRESHOLD) * target -} - -export function detectStall(stage: StageAnalysis): StallResult { - const trigType = stage.exit_trigger_result?.triggered?.type ?? '' - const total = (stage.exit_triggers ?? []).length - const gain = n(stage.execution_data?.weight_gain) - // A stall is a time-terminated stage that had another unmet target - // (total > 1) yet extracted almost nothing. Purely timed stages are intentional. - const stalled = trigType === 'time' && total > 1 && gain < STALL_MIN_WEIGHT_GAIN_G - return { stalled, weight_gain: r2(gain) } -} - -export function detectChanneling(ed: ExecutionData): ChannelingResult { - const pDrop = n(ed.start_pressure) - n(ed.end_pressure) - const fRise = n(ed.end_flow) - n(ed.start_flow) - return { - channeling: pDrop >= CHANNELING_PRESSURE_DROP_BAR && fRise >= CHANNELING_FLOW_RISE_MLS, - pressure_drop: r2(pDrop), - flow_rise: r2(fRise), - } -} - -function buildPhases(stages: StageAnalysis[]): ShotFacts['phases'] { - return stages - .filter(s => s.execution_data) - .map(s => { - const ed = s.execution_data as ExecutionData - const avgP = n(ed.avg_pressure) - let phase: string - if (avgP < 3.0) phase = 'pre-infusion' - else if (n(ed.end_pressure) > n(ed.start_pressure)) phase = 'ramp' - else if (n(ed.end_pressure) < n(ed.start_pressure)) phase = 'decline' - else phase = 'peak' - return { stage_name: s.stage_name, phase, avg_pressure: ed.avg_pressure, avg_flow: ed.avg_flow, weight_gain: ed.weight_gain } - }) -} - -function curveAdherence(stage: StageAnalysis): ShotFactStage['curve_adherence'] { - const target = typeof stage.profile_target_value === 'number' ? stage.profile_target_value : null - if (target == null) return null - const mode = resolveStageControlMode(stage) - const measured = mode === 'pressure' ? stage.execution_data?.avg_pressure : stage.execution_data?.avg_flow - if (measured == null) return null - return { target, measured, delta: r2(measured - target) } -} - -export function buildShotFacts(analysis: { - stage_analyses?: StageAnalysis[] - weight_analysis?: { actual?: number; target?: number; deviation_percent?: number } - shot_summary?: { total_time?: number } - overall_metrics?: { total_time?: number } -}): ShotFacts { - const stages = analysis.stage_analyses ?? [] - const globalTargetWeight = analysis.weight_analysis?.target ?? null - const actualWeight = analysis.weight_analysis?.actual ?? null - const weightOnTarget = - actualWeight != null && globalTargetWeight != null && globalTargetWeight > 0 - ? actualWeight >= globalTargetWeight * (1 - YIELD_THRESHOLD) - : null - let lastExecutedIdx = -1 - stages.forEach((s, i) => { if (s.execution_data) lastExecutedIdx = i }) - const stagesOut: ShotFactStage[] = stages.map((s, i) => { - if (!s.execution_data) return { stage_name: s.stage_name, reached: false } - const trigType = s.exit_trigger_result?.triggered?.type ?? '' - const trigValue = s.exit_trigger_result?.triggered?.target ?? null - const total = (s.exit_triggers ?? []).length - const declaredMode = resolveStageControlMode(s) - const effectiveMode = effectiveControlMode(s) - const onTarget = yieldStageOnTarget(s, effectiveMode) - return { - stage_name: s.stage_name, - reached: true, - control_mode: effectiveMode, - declared_mode: declaredMode, - mode_overridden: effectiveMode !== declaredMode, - trigger_type: trigType, - trigger_class: classifyTrigger(effectiveMode, trigType, total, { - triggerValue: trigValue, - globalTargetWeight, - onTarget, - isTerminalStage: i === lastExecutedIdx, - weightOnTarget, - }), - stall: detectStall(s), - channeling: detectChanneling(s.execution_data), - curve_adherence: curveAdherence(s), - } - }) - const wa = analysis.weight_analysis ?? {} - return { - stages: stagesOut, - phases: buildPhases(stages), - weight: { actual: wa.actual, target: wa.target, deviation_pct: wa.deviation_percent }, - total_time_s: analysis.shot_summary?.total_time ?? analysis.overall_metrics?.total_time, - } -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/shotFacts"; diff --git a/apps/web/src/lib/tags.ts b/apps/web/src/lib/tags.ts index 3254e5c6..0b0357a5 100644 --- a/apps/web/src/lib/tags.ts +++ b/apps/web/src/lib/tags.ts @@ -1,221 +1,2 @@ -// Preset tags with categories for filtering and display -export const PRESET_TAGS = [ - { label: 'Light Body', category: 'body' }, - { label: 'Medium Body', category: 'body' }, - { label: 'Heavy Body', category: 'body' }, - { label: 'Florals', category: 'flavor' }, - { label: 'Acidity', category: 'flavor' }, - { label: 'Fruitiness', category: 'flavor' }, - { label: 'Chocolate', category: 'flavor' }, - { label: 'Nutty', category: 'flavor' }, - { label: 'Caramel', category: 'flavor' }, - { label: 'Berry', category: 'flavor' }, - { label: 'Citrus', category: 'flavor' }, - { label: 'Funky', category: 'flavor' }, - { label: 'Thin', category: 'mouthfeel' }, - { label: 'Mouthfeel', category: 'mouthfeel' }, - { label: 'Creamy', category: 'mouthfeel' }, - { label: 'Syrupy', category: 'mouthfeel' }, - { label: 'Italian', category: 'style' }, - { label: 'Modern', category: 'style' }, - { label: 'Lever', category: 'style' }, - { label: 'Long', category: 'extraction' }, - { label: 'Short', category: 'extraction' }, - { label: 'Turbo', category: 'extraction' }, - { label: 'Light Roast', category: 'roast' }, - { label: 'Medium Roast', category: 'roast' }, - { label: 'Dark Roast', category: 'roast' }, - { label: 'Sweet', category: 'characteristic' }, - { label: 'Balanced', category: 'characteristic' }, - { label: 'Bloom', category: 'process' }, - { label: 'Pre-infusion', category: 'process' }, - { label: 'Pulse', category: 'process' }, - // Technique tags (from structural analysis) - { label: 'Pressure-controlled', category: 'technique' }, - { label: 'Flow-controlled', category: 'technique' }, - { label: 'Mixed-controlled', category: 'technique' }, - { label: 'Flat profile', category: 'technique' }, - { label: 'Ramp', category: 'technique' }, - { label: 'Decline', category: 'technique' }, - { label: 'Taper', category: 'technique' }, - // Temperature range tags - { label: 'Very low temp (<82°C)', category: 'temperature' }, - { label: 'Low temp (82–84°C)', category: 'temperature' }, - { label: 'Warm (85–87°C)', category: 'temperature' }, - { label: 'Medium temp (88–90°C)', category: 'temperature' }, - { label: 'High temp (91–93°C)', category: 'temperature' }, - { label: 'Very high temp (94°C+)', category: 'temperature' }, - // Weight range tags - { label: 'Ristretto (≤35g)', category: 'weight' }, - { label: 'Normale (36–44g)', category: 'weight' }, - { label: 'Lungo (45–54g)', category: 'weight' }, - { label: 'Allongé (55g+)', category: 'weight' }, - // Pressure range tags - { label: 'Low pressure (≤4 bar)', category: 'pressure' }, - { label: 'Medium pressure (5–7 bar)', category: 'pressure' }, - { label: 'Standard pressure (8–9 bar)', category: 'pressure' }, - { label: 'High pressure (10+ bar)', category: 'pressure' }, - // Structural tags - { label: 'Adaptive', category: 'technique' }, -] as const - -export type TagCategory = typeof PRESET_TAGS[number]['category'] - -// Refined color palette - high contrast for readability -// Uses custom CSS classes (defined in index.css) with .dark selector -// to bypass Tailwind v4 compat-mode media-query dark variant issue -export const CATEGORY_COLORS: Record = { - body: 'tag-body', - flavor: 'tag-flavor', - mouthfeel: 'tag-mouthfeel', - style: 'tag-style', - extraction: 'tag-extraction', - roast: 'tag-roast', - characteristic: 'tag-characteristic', - process: 'tag-process', - technique: 'tag-technique', - temperature: 'tag-temperature', - weight: 'tag-weight', - pressure: 'tag-pressure', -} - -export const CATEGORY_COLORS_SELECTED: Record = { - body: 'tag-body-selected text-white shadow-sm', - flavor: 'tag-flavor-selected text-white shadow-sm', - mouthfeel: 'tag-mouthfeel-selected text-white shadow-sm', - style: 'tag-style-selected text-white shadow-sm', - extraction: 'tag-extraction-selected text-white shadow-sm', - roast: 'tag-roast-selected text-white shadow-sm', - characteristic: 'tag-characteristic-selected text-white shadow-sm', - process: 'tag-process-selected text-white shadow-sm', - technique: 'tag-technique-selected text-white shadow-sm', - temperature: 'tag-temperature-selected text-white shadow-sm', - weight: 'tag-weight-selected text-white shadow-sm', - pressure: 'tag-pressure-selected text-white shadow-sm', -} - -// Get category for a tag label -export function getTagCategory(label: string): TagCategory | null { - const tag = PRESET_TAGS.find(t => t.label.toLowerCase() === label.toLowerCase()) - return tag ? tag.category : null -} - -// Get color classes for a tag -export function getTagColorClass(label: string, selected = false): string { - const category = getTagCategory(label) - if (!category) return 'tag-default' - return selected ? CATEGORY_COLORS_SELECTED[category] : CATEGORY_COLORS[category] -} - -// Extract known tags from a user preferences string -export function extractTagsFromPreferences(preferences: string | null): string[] { - if (!preferences) return [] - - const prefLower = preferences.toLowerCase() - return PRESET_TAGS - .filter(tag => prefLower.includes(tag.label.toLowerCase())) - .map(tag => tag.label) -} - -// Get all unique tags from history entries -export function getAllTagsFromEntries(entries: Array<{ user_preferences: string | null }>): string[] { - const allTags = new Set() - - entries.forEach(entry => { - const tags = extractTagsFromPreferences(entry.user_preferences) - tags.forEach(tag => allTags.add(tag)) - }) - - return Array.from(allTags).sort() -} - -// Sensory tag vocabulary the AI may infer during description generation (#400). -// Mirrors the flavor / mouthfeel / roast / body / characteristic categories; -// structural / temperature / weight / pressure tags are derived deterministically. -export const AI_TAG_LABELS: string[] = PRESET_TAGS.filter(t => - (['body', 'flavor', 'mouthfeel', 'roast', 'characteristic'] as TagCategory[]).includes(t.category) -).map(t => t.label) - -const AI_TAG_LOOKUP = new Map(AI_TAG_LABELS.map(label => [label.toLowerCase(), label])) - -// Instruction appended to AI description prompts to request sensory tags (#400). -export const AI_TAGS_PROMPT = - '\n\nFinally, on a separate last line, output:\n' + - 'Tags: [comma-separated subset of EXACTLY these labels that match the ' + - "coffee's likely sensory profile, or leave empty if unsure: " + - AI_TAG_LABELS.join(', ') + - ']\nOnly use labels from that list; do not invent new ones.' - -// Extract and validate sensory tags from a generated description's `Tags:` line. -// Small on-device models often decorate the line with markdown (e.g. "**Tags:**" -// or "- Tags:"), so tolerate leading bullets/quotes and bold/italic markers. -const TAGS_LINE_RE = /^[ \t]*(?:[>*+\-#]+[ \t]*)?(?:\*\*|__|\*|_)?[ \t]*Tags[ \t]*(?:\*\*|__|\*|_)?[ \t]*:[ \t]*(.*)$/im -const TAGS_LINE_STRIP_RE = /^[ \t]*(?:[>*+\-#]+[ \t]*)?(?:\*\*|__|\*|_)?[ \t]*Tags[ \t]*(?:\*\*|__|\*|_)?[ \t]*:[ \t]*.*$/gim - -export function parseAiTags(text: string | null | undefined): string[] { - if (!text) return [] - const match = text.match(TAGS_LINE_RE) - if (!match) return [] - const result: string[] = [] - const seen = new Set() - for (const raw of match[1].split(',')) { - const candidate = raw.replace(/[[\]*_]/g, '').trim().replace(/\.+$/, '').trim() - const canonical = AI_TAG_LOOKUP.get(candidate.toLowerCase()) - if (canonical && !seen.has(canonical)) { - seen.add(canonical) - result.push(canonical) - } - } - return result -} - -// Remove the trailing `Tags:` line from a generated description body. -export function stripTagsLine(text: string): string { - if (!text) return text - return text.replace(TAGS_LINE_STRIP_RE, '').replace(/\s+$/, '') -} - -// Map a match reason string from the recommendation engine to a tag color class. -// Match reasons have patterns like "Pressure-controlled", "Techniques: bloom, preinfusion", -// "Flat profile", "Target weight: 36g", "Peak pressure: 9.0 bar", "High temp", "Matching: fruity, sweet" -export function getMatchReasonColorClass(reason: string): string { - const lower = reason.toLowerCase() - - // Direct preset tag lookup first - const directCategory = getTagCategory(reason) - if (directCategory) return CATEGORY_COLORS[directCategory] - - // Control mode reasons - if (lower.endsWith('-controlled')) return 'tag-technique' - - // Technique reasons (prefix or direct) - if (lower.startsWith('techniques:') || lower === 'flat profile') return 'tag-technique' - - // Temperature range reasons - if (lower.includes('temp')) return 'tag-temperature' - - // Weight reasons - if (lower.startsWith('target weight') || lower.includes('ristretto') || lower.includes('normale') || lower.includes('lungo') || lower.includes('allongé')) return 'tag-weight' - - // Pressure reasons - if (lower.startsWith('peak pressure') || lower.includes('pressure (')) return 'tag-pressure' - - // "Matching:" prefix — try to detect the category from the first matched tag - if (lower.startsWith('matching:')) { - const tags = reason.slice('matching:'.length).split(',').map(t => t.trim()) - for (const tag of tags) { - const cat = getTagCategory(tag) - if (cat) return CATEGORY_COLORS[cat] - } - } - - return 'tag-default' -} - -// Get CSS class for a match score percentage badge -export function getScoreColorClass(score: number): string { - if (score >= 75) return 'score-high' - if (score >= 50) return 'score-good' - if (score >= 25) return 'score-fair' - return 'score-low' -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/tags"; diff --git a/apps/web/src/lib/uuid.ts b/apps/web/src/lib/uuid.ts index ec3644d1..91366d6d 100644 --- a/apps/web/src/lib/uuid.ts +++ b/apps/web/src/lib/uuid.ts @@ -1,30 +1,2 @@ -/** - * Generate a RFC-4122 v4 UUID that works in insecure contexts. - * - * `crypto.randomUUID()` is only exposed in secure contexts (HTTPS or - * localhost). Metic is frequently self-hosted and reached over plain - * `http://:`, where `crypto.randomUUID` is `undefined` and a - * bare call throws. This helper falls back to `crypto.getRandomValues` and, - * as a last resort, `Math.random`, so callers always get a usable id. - */ -export function safeRandomUUID(): string { - const native = globalThis.crypto?.randomUUID?.() - if (native) return native - - const bytes = new Uint8Array(16) - if (globalThis.crypto?.getRandomValues) { - globalThis.crypto.getRandomValues(bytes) - } else { - for (let i = 0; i < bytes.length; i++) bytes[i] = Math.floor(Math.random() * 256) - } - - // Set version (4) and variant (10xx) bits per RFC 4122. - bytes[6] = (bytes[6] & 0x0f) | 0x40 - bytes[8] = (bytes[8] & 0x3f) | 0x80 - - const hex = Array.from(bytes, b => b.toString(16).padStart(2, '0')) - return ( - `${hex[0]}${hex[1]}${hex[2]}${hex[3]}-${hex[4]}${hex[5]}-${hex[6]}${hex[7]}-` + - `${hex[8]}${hex[9]}-${hex[10]}${hex[11]}${hex[12]}${hex[13]}${hex[14]}${hex[15]}` - ) -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/uuid"; diff --git a/apps/web/src/services/decentConverter.ts b/apps/web/src/services/decentConverter.ts index b608e0b1..19b382c3 100644 --- a/apps/web/src/services/decentConverter.ts +++ b/apps/web/src/services/decentConverter.ts @@ -1,273 +1,2 @@ -/** - * Decent Espresso profile converter. - * - * TypeScript port of the server-side Python converter - * (`apps/server/services/decent_converter.py`). Used by the - * DirectModeInterceptor so Decent profile conversion works in - * native/direct mode without a backend. - */ - -import { safeRandomUUID } from '@/lib/uuid' - -// ── Types ─────────────────────────────────────────────────────────────────── - -interface DecentExit { - type?: string - condition?: number - or?: DecentExit -} - -interface DecentStep { - name?: string - temperature?: number - sensor?: string - pump?: string - transition?: string - flow?: number - pressure?: number - seconds?: number - volume?: number - weight?: number - exit?: DecentExit -} - -interface DecentProfile { - title?: string - author?: string - notes?: string - beverage_type?: string - steps?: DecentStep[] -} - -interface ExitTrigger { - type: string - value: number - relative: boolean - comparison: string - direction?: string -} - -interface Dynamics { - type: string - over: string - interpolation: string - points: [number, number][] -} - -interface MeticulousStage { - name: string - type: string - key: string - temperature: number - limits: unknown[] - dynamics: Dynamics - exit_triggers: ExitTrigger[] -} - -interface MeticulousProfile { - id: string - name: string - author: string - temperature: number - final_weight: number - stages: MeticulousStage[] - variables: unknown[] - previous_authors: unknown[] - display?: { description?: string; shortDescription?: string } -} - -export interface ConversionResult { - profile: MeticulousProfile - warnings: string[] -} - -// ── Public API ────────────────────────────────────────────────────────────── - -/** Detect whether a JSON object is a Decent Espresso profile. */ -export function detectDecentFormat(data: unknown): data is DecentProfile { - if (!data || typeof data !== 'object' || Array.isArray(data)) return false - const obj = data as Record - const steps = obj.steps - if (!Array.isArray(steps) || steps.length === 0) return false - return steps.some( - (s) => typeof s === 'object' && s !== null && ('pump' in s || 'sensor' in s), - ) -} - -/** Convert a Decent Espresso profile to Meticulous format. */ -export function convertDecentToMeticulous(data: DecentProfile): ConversionResult { - const warnings: string[] = [] - const stages: MeticulousStage[] = [] - - for (const [i, step] of (data.steps ?? []).entries()) { - if (!step || typeof step !== 'object') { - warnings.push(`Step ${i}: not an object, skipped`) - continue - } - const stage = convertStep(step, i, warnings) - if (stage) stages.push(stage) - } - - if (stages.length === 0) { - warnings.push('No stages could be converted') - } - - const profile: MeticulousProfile = { - id: safeRandomUUID(), - name: data.title ?? 'Imported Decent Profile', - author: data.author ?? 'Decent Import', - temperature: firstTemperature(data), - final_weight: firstWeightTarget(data), - stages, - variables: [], - previous_authors: [], - } - - const notes = data.notes ?? '' - if (notes) { - profile.display = { - description: notes, - shortDescription: notes.length > 99 ? notes.slice(0, 99) : notes, - } - } - - return { profile, warnings } -} - -// ── Internal helpers ──────────────────────────────────────────────────────── - -function safeFloat(value: unknown, fallback: number): number { - if (value == null) return fallback - const n = Number(value) - return Number.isFinite(n) ? n : fallback -} - -function firstTemperature(data: DecentProfile): number { - for (const step of data.steps ?? []) { - if (step?.temperature != null) { - const t = Number(step.temperature) - if (Number.isFinite(t)) return t - } - } - return 93.0 -} - -function firstWeightTarget(data: DecentProfile): number { - for (const step of data.steps ?? []) { - const w = findWeightInExit(step?.exit) - if (w != null) return w - } - return 36.0 -} - -function findWeightInExit(exit?: DecentExit | null): number | null { - if (!exit) return null - if (exit.type === 'weight_over' && exit.condition != null) { - const v = Number(exit.condition) - if (Number.isFinite(v)) return v - } - return findWeightInExit(exit.or) -} - -function convertStep( - step: DecentStep, - index: number, - warnings: string[], -): MeticulousStage | null { - const pump = step.pump ?? 'pressure' - - let stageType: string - if (pump === 'flow') { - stageType = 'flow' - } else if (pump === 'pressure') { - stageType = 'pressure' - } else { - warnings.push(`Step ${index}: unknown pump type '${pump}', defaulting to pressure`) - stageType = 'pressure' - } - - const targetValue = - stageType === 'flow' ? safeFloat(step.flow, 4.0) : safeFloat(step.pressure, 9.0) - - const transition = step.transition ?? 'fast' - const seconds = safeFloat(step.seconds, 0) - - let points: [number, number][] - if (transition === 'smooth' && seconds > 0) { - points = [ - [0.0, 0.0], - [seconds, targetValue], - ] - } else { - points = [[0.0, targetValue]] - } - - const exitTriggers = convertExit(step.exit, index, warnings) - - // If no exit triggers but a seconds value exists, add a time trigger - if (exitTriggers.length === 0 && seconds > 0) { - exitTriggers.push({ - type: 'time', - value: seconds, - relative: true, - comparison: '>=', - }) - } - - return { - name: step.name ?? `Stage ${index + 1}`, - type: stageType, - key: `${stageType}_${index}`, - temperature: safeFloat(step.temperature, 93.0), - limits: [], - dynamics: { - type: stageType, - over: 'time', - interpolation: 'linear', - points, - }, - exit_triggers: exitTriggers, - } -} - -const EXIT_TYPE_MAP: Record = { - pressure_over: ['pressure', 'above'], - pressure_under: ['pressure', 'below'], - flow_over: ['flow', 'above'], - flow_under: ['flow', 'below'], - time_over: ['time', null], - weight_over: ['weight', null], - volume_over: ['volume', null], -} - -function convertExit( - exitData: DecentExit | undefined | null, - stepIndex: number, - warnings: string[], -): ExitTrigger[] { - const triggers: ExitTrigger[] = [] - if (!exitData) return triggers - - const exitType = exitData.type ?? '' - const condition = safeFloat(exitData.condition, 0) - - if (exitType in EXIT_TYPE_MAP) { - const [mappedType, direction] = EXIT_TYPE_MAP[exitType] - const trigger: ExitTrigger = { - type: mappedType, - value: condition, - relative: mappedType === 'time', - comparison: '>=', - } - if (direction) trigger.direction = direction - triggers.push(trigger) - } else if (exitType) { - warnings.push(`Step ${stepIndex}: unknown exit type '${exitType}'`) - } - - if (exitData.or) { - triggers.push(...convertExit(exitData.or, stepIndex, warnings)) - } - - return triggers -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/logic/decentConverter"; diff --git a/packages/core/package.json b/packages/core/package.json index b56fbe99..39289204 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -8,7 +8,15 @@ "exports": { ".": "./src/index.ts", "./platform": "./src/platform.ts", - "./logic/compass": "./src/logic/compass.ts" + "./logic/compass": "./src/logic/compass.ts", + "./logic/analysisSchema": "./src/logic/analysisSchema.ts", + "./logic/shotFacts": "./src/logic/shotFacts.ts", + "./logic/analysisLint": "./src/logic/analysisLint.ts", + "./logic/uuid": "./src/logic/uuid.ts", + "./logic/decentConverter": "./src/logic/decentConverter.ts", + "./logic/tags": "./src/logic/tags.ts", + "./logic/profileAnalysis": "./src/logic/profileAnalysis.ts", + "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/logic/analysisLint.ts b/packages/core/src/logic/analysisLint.ts new file mode 100644 index 00000000..36131bd1 --- /dev/null +++ b/packages/core/src/logic/analysisLint.ts @@ -0,0 +1,154 @@ +/** + * Shot-analysis output linter. + * + * On-device models (e.g. Apple Intelligence) occasionally produce malformed + * analysis text — looping the same sentence dozens of times while omitting other + * sections. This module mirrors the validate-then-retry safety net used for + * AI-generated profiles (see profilePromptFull.ts / profileValidator.ts): it + * detects degenerate output so the caller can regenerate, and offers a + * best-effort repair that collapses runaway repetition when a retry still fails. + */ + +import type { ShotFacts } from './shotFacts' +import { REQUIRED_ANALYSIS_SECTIONS } from './analysisSchema' + +export interface AnalysisLintResult { + valid: boolean + /** Machine-readable issue codes (e.g. 'empty', 'repetition', 'low-diversity'). */ + issues: string[] +} + +/** Lines shorter than this are treated as structural (headers/bullets) and ignored. */ +const SUBSTANTIVE_MIN_LEN = 12 +/** A substantive line appearing this many times or more is runaway repetition. */ +const REPEAT_LIMIT = 4 +/** If unique substantive lines fall below this fraction, the output lacks diversity. */ +const MIN_DIVERSITY_RATIO = 0.5 +/** Minimum number of substantive lines before the diversity heuristic applies. */ +const MIN_LINES_FOR_DIVERSITY = 6 +/** Minimum trimmed length for any usable analysis. */ +const MIN_LENGTH = 40 + +function normalize(line: string): string { + return line.trim().replace(/\s+/g, ' ').toLowerCase() +} + +function isSubstantive(line: string): boolean { + const stripped = line.trim().replace(/^[-•*#>\d.\s]+/, '') + return stripped.length >= SUBSTANTIVE_MIN_LEN +} + +/** + * Inspect analysis text for the degenerate patterns produced by misbehaving + * models. Returns `valid: false` with one or more issue codes when the output + * should not be shown as-is. + */ +export function lintShotAnalysis(text: string): AnalysisLintResult { + const issues: string[] = [] + const trimmed = (text ?? '').trim() + + if (trimmed.length < MIN_LENGTH) { + issues.push('empty') + return { valid: false, issues } + } + + const substantive = trimmed.split('\n').filter(isSubstantive) + + const counts = new Map() + for (const line of substantive) { + const key = normalize(line) + counts.set(key, (counts.get(key) ?? 0) + 1) + } + + let maxRepeat = 0 + for (const count of counts.values()) { + if (count > maxRepeat) maxRepeat = count + } + if (maxRepeat >= REPEAT_LIMIT) { + issues.push('repetition') + } + + if (substantive.length >= MIN_LINES_FOR_DIVERSITY) { + const diversity = counts.size / substantive.length + if (diversity < MIN_DIVERSITY_RATIO) { + issues.push('low-diversity') + } + } + + return { valid: issues.length === 0, issues } +} + +/** + * Best-effort cleanup for malformed analysis text. Drops repeated substantive + * lines (keeping the first occurrence, preserving order) and collapses runs of + * blank lines. Structural lines (short headers/bullets) are always kept. + */ +export function repairShotAnalysis(text: string): string { + const seen = new Set() + const out: string[] = [] + let blankRun = 0 + + for (const line of (text ?? '').split('\n')) { + if (line.trim().length === 0) { + blankRun++ + if (blankRun <= 1) out.push('') + continue + } + blankRun = 0 + + if (isSubstantive(line)) { + const key = normalize(line) + if (seen.has(key)) continue + seen.add(key) + } + out.push(line) + } + + return out.join('\n').trim() +} + +/** Phrases that frame a stage exit as a failure/early stop. */ +const EARLY_EXIT_PATTERNS = [ + /terminat\w*\s+early/i, + /\bearly\s+terminat/i, + /ended?\s+(too\s+)?(early|prematurely)/i, + /\bcut\s+short\b/i, + /stopped?\s+before\s+reaching/i, +] +/** Phrases asserting channeling occurred. */ +const CHANNELING_ASSERTION = /\bchannel(?:ing|ed|s)?\b/i +/** Phrases that negate channeling (so we don't flag "no channeling"). */ +const CHANNELING_NEGATION = /\b(no|not|without|absence of|isn'?t|wasn'?t)\b[^.]{0,30}channel/i + +/** + * Reject analyses that contradict the deterministic ShotFacts. High precision: + * only flags clear, well-supported contradictions. + */ +export function validateAgainstFacts(text: string, facts: ShotFacts): AnalysisLintResult { + const issues: string[] = [] + const body = text ?? '' + + const hasTargetedWeightExit = facts.stages.some( + s => s.reached && s.trigger_type === 'weight' && s.trigger_class?.kind === 'targeted', + ) + if (hasTargetedWeightExit && EARLY_EXIT_PATTERNS.some(re => re.test(body))) { + issues.push('mischaracterized-targeted-exit') + } + + const anyChanneling = facts.stages.some(s => s.channeling?.channeling) + if (!anyChanneling && CHANNELING_ASSERTION.test(body) && !CHANNELING_NEGATION.test(body)) { + issues.push('unsupported-channeling') + } + + return { valid: issues.length === 0, issues } +} + +/** + * Verify the analysis contains each required section title (L1). Matches on the title text so + * it is robust to numbering/heading-level variations the model may introduce. + */ +export function checkStructure(text: string): AnalysisLintResult { + const body = (text ?? '').toLowerCase() + const missing = REQUIRED_ANALYSIS_SECTIONS.filter(s => !body.includes(s.toLowerCase())) + return { valid: missing.length === 0, issues: missing.length ? ['missing-sections'] : [] } +} diff --git a/packages/core/src/logic/analysisSchema.ts b/packages/core/src/logic/analysisSchema.ts new file mode 100644 index 00000000..3eb804cf --- /dev/null +++ b/packages/core/src/logic/analysisSchema.ts @@ -0,0 +1,17 @@ +/** + * Single source of truth for the shot-analysis section structure (L2). + * Consumed by the prompt builders and the structural linter so the format the model is asked + * to produce and the format we validate can never drift apart. + * Mirror of apps/server/analysis_schema.py. + */ + +export const REQUIRED_ANALYSIS_SECTIONS = [ + 'Shot Performance', + 'Root Cause Analysis', + 'Setup Recommendations', + 'Profile Recommendations', + 'Profile Design Observations', +] as const + +/** Optional taste section appended when compass taste is supplied. */ +export const OPTIONAL_TASTE_SECTION = 'Taste-Based Recommendations' diff --git a/packages/core/src/logic/decentConverter.ts b/packages/core/src/logic/decentConverter.ts new file mode 100644 index 00000000..84cc7068 --- /dev/null +++ b/packages/core/src/logic/decentConverter.ts @@ -0,0 +1,273 @@ +/** + * Decent Espresso profile converter. + * + * TypeScript port of the server-side Python converter + * (`apps/server/services/decent_converter.py`). Used by the + * DirectModeInterceptor so Decent profile conversion works in + * native/direct mode without a backend. + */ + +import { safeRandomUUID } from './uuid' + +// ── Types ─────────────────────────────────────────────────────────────────── + +interface DecentExit { + type?: string + condition?: number + or?: DecentExit +} + +interface DecentStep { + name?: string + temperature?: number + sensor?: string + pump?: string + transition?: string + flow?: number + pressure?: number + seconds?: number + volume?: number + weight?: number + exit?: DecentExit +} + +interface DecentProfile { + title?: string + author?: string + notes?: string + beverage_type?: string + steps?: DecentStep[] +} + +interface ExitTrigger { + type: string + value: number + relative: boolean + comparison: string + direction?: string +} + +interface Dynamics { + type: string + over: string + interpolation: string + points: [number, number][] +} + +interface MeticulousStage { + name: string + type: string + key: string + temperature: number + limits: unknown[] + dynamics: Dynamics + exit_triggers: ExitTrigger[] +} + +interface MeticulousProfile { + id: string + name: string + author: string + temperature: number + final_weight: number + stages: MeticulousStage[] + variables: unknown[] + previous_authors: unknown[] + display?: { description?: string; shortDescription?: string } +} + +export interface ConversionResult { + profile: MeticulousProfile + warnings: string[] +} + +// ── Public API ────────────────────────────────────────────────────────────── + +/** Detect whether a JSON object is a Decent Espresso profile. */ +export function detectDecentFormat(data: unknown): data is DecentProfile { + if (!data || typeof data !== 'object' || Array.isArray(data)) return false + const obj = data as Record + const steps = obj.steps + if (!Array.isArray(steps) || steps.length === 0) return false + return steps.some( + (s) => typeof s === 'object' && s !== null && ('pump' in s || 'sensor' in s), + ) +} + +/** Convert a Decent Espresso profile to Meticulous format. */ +export function convertDecentToMeticulous(data: DecentProfile): ConversionResult { + const warnings: string[] = [] + const stages: MeticulousStage[] = [] + + for (const [i, step] of (data.steps ?? []).entries()) { + if (!step || typeof step !== 'object') { + warnings.push(`Step ${i}: not an object, skipped`) + continue + } + const stage = convertStep(step, i, warnings) + if (stage) stages.push(stage) + } + + if (stages.length === 0) { + warnings.push('No stages could be converted') + } + + const profile: MeticulousProfile = { + id: safeRandomUUID(), + name: data.title ?? 'Imported Decent Profile', + author: data.author ?? 'Decent Import', + temperature: firstTemperature(data), + final_weight: firstWeightTarget(data), + stages, + variables: [], + previous_authors: [], + } + + const notes = data.notes ?? '' + if (notes) { + profile.display = { + description: notes, + shortDescription: notes.length > 99 ? notes.slice(0, 99) : notes, + } + } + + return { profile, warnings } +} + +// ── Internal helpers ──────────────────────────────────────────────────────── + +function safeFloat(value: unknown, fallback: number): number { + if (value == null) return fallback + const n = Number(value) + return Number.isFinite(n) ? n : fallback +} + +function firstTemperature(data: DecentProfile): number { + for (const step of data.steps ?? []) { + if (step?.temperature != null) { + const t = Number(step.temperature) + if (Number.isFinite(t)) return t + } + } + return 93.0 +} + +function firstWeightTarget(data: DecentProfile): number { + for (const step of data.steps ?? []) { + const w = findWeightInExit(step?.exit) + if (w != null) return w + } + return 36.0 +} + +function findWeightInExit(exit?: DecentExit | null): number | null { + if (!exit) return null + if (exit.type === 'weight_over' && exit.condition != null) { + const v = Number(exit.condition) + if (Number.isFinite(v)) return v + } + return findWeightInExit(exit.or) +} + +function convertStep( + step: DecentStep, + index: number, + warnings: string[], +): MeticulousStage | null { + const pump = step.pump ?? 'pressure' + + let stageType: string + if (pump === 'flow') { + stageType = 'flow' + } else if (pump === 'pressure') { + stageType = 'pressure' + } else { + warnings.push(`Step ${index}: unknown pump type '${pump}', defaulting to pressure`) + stageType = 'pressure' + } + + const targetValue = + stageType === 'flow' ? safeFloat(step.flow, 4.0) : safeFloat(step.pressure, 9.0) + + const transition = step.transition ?? 'fast' + const seconds = safeFloat(step.seconds, 0) + + let points: [number, number][] + if (transition === 'smooth' && seconds > 0) { + points = [ + [0.0, 0.0], + [seconds, targetValue], + ] + } else { + points = [[0.0, targetValue]] + } + + const exitTriggers = convertExit(step.exit, index, warnings) + + // If no exit triggers but a seconds value exists, add a time trigger + if (exitTriggers.length === 0 && seconds > 0) { + exitTriggers.push({ + type: 'time', + value: seconds, + relative: true, + comparison: '>=', + }) + } + + return { + name: step.name ?? `Stage ${index + 1}`, + type: stageType, + key: `${stageType}_${index}`, + temperature: safeFloat(step.temperature, 93.0), + limits: [], + dynamics: { + type: stageType, + over: 'time', + interpolation: 'linear', + points, + }, + exit_triggers: exitTriggers, + } +} + +const EXIT_TYPE_MAP: Record = { + pressure_over: ['pressure', 'above'], + pressure_under: ['pressure', 'below'], + flow_over: ['flow', 'above'], + flow_under: ['flow', 'below'], + time_over: ['time', null], + weight_over: ['weight', null], + volume_over: ['volume', null], +} + +function convertExit( + exitData: DecentExit | undefined | null, + stepIndex: number, + warnings: string[], +): ExitTrigger[] { + const triggers: ExitTrigger[] = [] + if (!exitData) return triggers + + const exitType = exitData.type ?? '' + const condition = safeFloat(exitData.condition, 0) + + if (exitType in EXIT_TYPE_MAP) { + const [mappedType, direction] = EXIT_TYPE_MAP[exitType] + const trigger: ExitTrigger = { + type: mappedType, + value: condition, + relative: mappedType === 'time', + comparison: '>=', + } + if (direction) trigger.direction = direction + triggers.push(trigger) + } else if (exitType) { + warnings.push(`Step ${stepIndex}: unknown exit type '${exitType}'`) + } + + if (exitData.or) { + triggers.push(...convertExit(exitData.or, stepIndex, warnings)) + } + + return triggers +} diff --git a/packages/core/src/logic/profileAnalysis.ts b/packages/core/src/logic/profileAnalysis.ts new file mode 100644 index 00000000..d42e6bd8 --- /dev/null +++ b/packages/core/src/logic/profileAnalysis.ts @@ -0,0 +1,423 @@ +/** + * Unified profile structural analysis module. + * + * TypeScript port of the Python `_extract_fingerprint()` and + * `_extract_name_tags()` from `profile_recommendation_service.py`. + * Single source of truth for profile analysis — used by the client-side + * recommendation engine and auto-tag derivation. + */ + +// ── Types ────────────────────────────────────────────────────────────────── + +export interface ProfileStage { + name?: string + type?: string + dynamics?: { + points?: unknown[][] + over?: string + interpolation?: string + } + limits?: { type?: string; value?: unknown }[] + exit_triggers?: { + type?: string + value?: unknown + comparison?: string + relative?: boolean + }[] +} + +export interface AnalyzableProfile { + name?: string + temperature?: number + final_weight?: number + stages?: ProfileStage[] +} + +export interface ProfileFingerprint { + stageTypes: string[] + controlMode: 'pressure' | 'flow' | 'mixed' | 'unknown' + hasPreinfusion: boolean + hasBloom: boolean + hasPulse: boolean + isFlat: boolean + peakPressure: number + maxFlow: number + isAdaptive: boolean + stageCount: number + techniqueTags: Set + temperature: number | null + finalWeight: number | null +} + +// ── Name keyword sets (match Python _NAME_KEYWORDS / _STAGE_KEYWORDS) ──── + +const NAME_KEYWORDS = new Set([ + 'fruity', 'chocolate', 'nutty', 'floral', 'caramel', 'berry', 'citrus', + 'sweet', 'balanced', 'creamy', 'syrupy', 'light', 'medium', 'dark', + 'modern', 'italian', 'lever', 'turbo', 'bloom', 'long', 'short', + 'pre-infusion', 'pulse', 'acidity', 'funky', 'thin', 'mouthfeel', + 'ristretto', 'lungo', 'allonge', 'espresso', 'filter', +]) + +const STAGE_KEYWORDS = new Set([ + 'preinfusion', 'pre-infusion', 'bloom', 'ramp', 'soak', 'infusion', + 'extraction', 'decline', 'taper', 'hold', 'pulse', 'turbo', 'lever', + 'flat', 'pressure', 'flow', +]) + +// ── Fingerprint extraction ───────────────────────────────────────────────── + +/** + * Extract a structural fingerprint from a profile. + * Faithful port of Python `_extract_fingerprint()`. + */ +export function extractFingerprint(profile: AnalyzableProfile): ProfileFingerprint { + const stages = profile.stages ?? [] + const temperature = profile.temperature ?? null + const finalWeight = profile.final_weight ?? null + + const stageTypes: string[] = [] + let peakPressure = 0 + let maxFlow = 0 + let hasPreinfusion = false + let hasBloom = false + let hasPulse = false + let isFlat = true + let isAdaptive = false + const techniqueTags = new Set() + + /** Check if a value is a $variable reference */ + const isVarRef = (v: unknown): boolean => typeof v === 'string' && v.startsWith('$') + + for (const stage of stages) { + const stype = (stage.type ?? '').toLowerCase() + stageTypes.push(stype) + const sname = (stage.name ?? '').toLowerCase() + + // Preinfusion detection (name-based) + if (sname.includes('preinfusion') || sname.includes('pre-infusion') || sname.includes('pre infusion')) { + hasPreinfusion = true + techniqueTags.add('preinfusion') + } + + // Bloom detection (name-based) + if (sname.includes('bloom') || sname.includes('soak')) { + hasBloom = true + techniqueTags.add('bloom') + } + + // Pulse detection + if (sname.includes('pulse')) { + hasPulse = true + techniqueTags.add('pulse') + } + + // Extract peak pressure and max flow from dynamics points + const dynamics = stage.dynamics + if (dynamics) { + const points = dynamics.points ?? [] + for (const point of points) { + if (Array.isArray(point) && point.length >= 2) { + // Check for $variable references → adaptive + if (isVarRef(point[0]) || isVarRef(point[1])) { + isAdaptive = true + continue + } + const yVal = Number(point[1]) + if (!isNaN(yVal)) { + if (stype === 'pressure' && yVal > peakPressure) peakPressure = yVal + if (stype === 'flow' && yVal > maxFlow) maxFlow = yVal + } + } + } + + // Check for flatness (all y-values the same in dynamics) + if (points.length >= 2) { + const yValues: number[] = [] + for (const p of points) { + if (Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) { + const val = Number(p[1]) + if (!isNaN(val)) yValues.push(val) + } + } + if (yValues.length > 0) { + const rounded = new Set(yValues.map(y => Math.round(y * 10) / 10)) + if (rounded.size > 1) { + isFlat = false + } + } + } + } + + // Extract pressure limits (also check for variable refs) + const limits = stage.limits ?? [] + for (const limitObj of limits) { + if (isVarRef(limitObj.value)) { isAdaptive = true; continue } + const ltype = (limitObj.type ?? '').toLowerCase() + const lval = limitObj.value + if (ltype === 'pressure' && lval != null) { + const pval = Number(lval) + if (!isNaN(pval) && pval > peakPressure) { + peakPressure = pval + } + } + } + + // Check exit triggers for variable refs + const exits = stage.exit_triggers ?? [] + for (const ex of exits) { + if (isVarRef(ex.value)) { isAdaptive = true } + } + + // Stage name technique keywords + for (const kw of ['lever', 'turbo', 'ramp', 'decline', 'taper']) { + if (sname.includes(kw)) { + techniqueTags.add(kw) + } + } + } + + // ── Structural bloom detection (content-based, not name-based) ── + // A stage with all dynamics points at near-zero flow/pressure AND a time-based exit + if (!hasBloom) { + for (const stage of stages) { + const stype = (stage.type ?? '').toLowerCase() + const pts = stage.dynamics?.points ?? [] + const exits = stage.exit_triggers ?? [] + const hasTimeExit = exits.some(e => (e.type ?? '').toLowerCase() === 'time') + + // Zero/near-zero flow stage with time exit = bloom/soak + if (stype === 'flow' && hasTimeExit && pts.length > 0) { + const yVals = pts + .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) + .map(p => Math.abs(Number(p[1]))) + .filter(v => !isNaN(v)) + if (yVals.length > 0 && yVals.every(v => v <= 0.1)) { + hasBloom = true + techniqueTags.add('bloom') + break + } + } + // Power stage with power ≤ 5 (near-zero pump) and time exit = bloom + if (stype === 'power' && hasTimeExit && pts.length > 0) { + const yVals = pts + .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) + .map(p => Math.abs(Number(p[1]))) + .filter(v => !isNaN(v)) + if (yVals.length > 0 && yVals.every(v => v <= 5)) { + hasBloom = true + techniqueTags.add('bloom') + break + } + } + } + } + + // ── Structural pre-infusion detection (content-based) ── + // First stage(s) with low pressure/flow or power-type pump fill, before higher-energy stages + if (!hasPreinfusion && stages.length >= 2) { + const first = stages[0] + const ftype = (first.type ?? '').toLowerCase() + + // Power-type first stage = pump fill pre-infusion + if (ftype === 'power') { + hasPreinfusion = true + techniqueTags.add('preinfusion') + } else { + const pts = first.dynamics?.points ?? [] + const yVals = pts + .filter(p => Array.isArray(p) && p.length >= 2 && !isVarRef(p[1])) + .map(p => Number(p[1])) + .filter(v => !isNaN(v)) + const maxY = yVals.length > 0 ? Math.max(...yVals) : Infinity + // Low pressure first stage (≤ 4 bar) or low flow first stage (≤ 2 ml/s) + if ((ftype === 'pressure' && maxY <= 4) || (ftype === 'flow' && maxY <= 2)) { + hasPreinfusion = true + techniqueTags.add('preinfusion') + } + } + } + + // Determine control mode + const pressureCount = stageTypes.filter(t => t === 'pressure').length + const flowCount = stageTypes.filter(t => t === 'flow').length + const total = pressureCount + flowCount + let controlMode: ProfileFingerprint['controlMode'] + + if (pressureCount > 0 && flowCount === 0) { + controlMode = 'pressure' + techniqueTags.add('pressure-profile') + } else if (flowCount > 0 && pressureCount === 0) { + controlMode = 'flow' + techniqueTags.add('flow-profile') + } else if (total > 0) { + controlMode = 'mixed' + techniqueTags.add('mixed-profile') + } else { + controlMode = 'unknown' + } + + // Pulse heuristic: many short stages (>4 stages often indicates pulse-like) + if (stages.length >= 5 && !hasPulse) { + hasPulse = true + techniqueTags.add('pulse') + } + + if (hasPreinfusion) techniqueTags.add('preinfusion') + if (hasBloom) techniqueTags.add('bloom') + if (isFlat && stages.length <= 2) techniqueTags.add('flat') + + return { + stageTypes, + controlMode, + hasPreinfusion, + hasBloom, + hasPulse, + isFlat: isFlat && stages.length <= 2, + peakPressure: Math.round(peakPressure * 10) / 10, + maxFlow: Math.round(maxFlow * 10) / 10, + isAdaptive, + stageCount: stages.length, + techniqueTags, + temperature, + finalWeight, + } +} + +// ── Name tag extraction ──────────────────────────────────────────────────── + +/** + * Extract keyword tags from profile name and stage names. + * Faithful port of Python `_extract_name_tags()`. + */ +export function extractNameTags(profile: AnalyzableProfile): Set { + const tags = new Set() + const name = (profile.name ?? '').toLowerCase() + + for (const kw of NAME_KEYWORDS) { + if (name.includes(kw)) { + tags.add(kw) + } + } + + const stages = profile.stages ?? [] + for (const stage of stages) { + const sname = (stage.name ?? '').toLowerCase() + for (const kw of STAGE_KEYWORDS) { + if (sname.includes(kw)) { + tags.add(kw) + } + } + } + + return tags +} + +// ── Temperature range grouping ───────────────────────────────────────────── + +/** + * Map a temperature to a human-readable range label matching PRESET_TAGS. + */ +export function temperatureRange(temp: number): string { + if (temp < 82) return 'Very low temp (<82°C)' + if (temp <= 84) return 'Low temp (82–84°C)' + if (temp <= 87) return 'Warm (85–87°C)' + if (temp <= 90) return 'Medium temp (88–90°C)' + if (temp <= 93) return 'High temp (91–93°C)' + return 'Very high temp (94°C+)' +} + +// ── Weight range grouping ────────────────────────────────────────────────── + +/** + * Map a target weight (grams) to an espresso size label. + */ +export function weightRange(weight: number): string { + if (weight <= 35) return 'Ristretto (≤35g)' + if (weight <= 44) return 'Normale (36–44g)' + if (weight <= 54) return 'Lungo (45–54g)' + return 'Allongé (55g+)' +} + +// ── Pressure range grouping ──────────────────────────────────────────────── + +/** + * Map peak pressure (bar) to a human-readable range label. + */ +export function pressureRange(pressure: number): string { + if (pressure <= 4) return 'Low pressure (≤4 bar)' + if (pressure <= 7) return 'Medium pressure (5–7 bar)' + if (pressure <= 9) return 'Standard pressure (8–9 bar)' + return 'High pressure (10+ bar)' +} + +// ── Structural tag derivation ────────────────────────────────────────────── + +/** Map internal fingerprint technique tags to PRESET_TAG labels. */ +const TECHNIQUE_TO_LABEL: Record = { + 'pressure-profile': 'Pressure-controlled', + 'flow-profile': 'Flow-controlled', + 'mixed-profile': 'Mixed-controlled', + 'preinfusion': 'Pre-infusion', + 'bloom': 'Bloom', + 'pulse': 'Pulse', + 'flat': 'Flat profile', + 'lever': 'Lever', + 'turbo': 'Turbo', + 'ramp': 'Ramp', + 'decline': 'Decline', + 'taper': 'Taper', +} + +/** + * Derive user-facing structural tags from a profile's stage data. + * Returns sorted PRESET_TAG labels. + * Pure function — no side effects, no caching. + * + * When `profile.stages` is `undefined` (e.g. partial data from a list endpoint), + * only temperature and weight tags are derived, plus name-based bloom/pre-infusion + * fallback. When `stages` is present, full fingerprint analysis runs. + */ +export function deriveStructuralTags(profile: AnalyzableProfile): string[] { + const tags = new Set() + + if (profile.stages !== undefined) { + // Full fingerprint analysis — stages available + const fp = extractFingerprint(profile) + + // Technique tags (bloom, pre-infusion, pulse, control mode, etc.) + for (const tt of fp.techniqueTags) { + const label = TECHNIQUE_TO_LABEL[tt] + if (label) tags.add(label) + } + + // Pressure range (from peak pressure across all stages) + if (fp.peakPressure > 0) { + tags.add(pressureRange(fp.peakPressure)) + } + + // Adaptive/parametric profile + if (fp.isAdaptive) { + tags.add('Adaptive') + } + } else { + // Partial profile — name-based fallback for bloom/pre-infusion + const name = (profile.name ?? '').toLowerCase() + if (name.includes('bloom') || name.includes('soak')) tags.add('Bloom') + if (name.includes('preinfusion') || name.includes('pre-infusion') || name.includes('pre infusion')) tags.add('Pre-infusion') + } + + // Temperature — available even in partial profiles + const temp = profile.temperature + if (temp != null) { + tags.add(temperatureRange(temp)) + } + + // Weight range — available even in partial profiles + const weight = profile.final_weight + if (weight != null) { + tags.add(weightRange(weight)) + } + + return [...tags].sort() +} diff --git a/packages/core/src/logic/profileRecommendation.ts b/packages/core/src/logic/profileRecommendation.ts new file mode 100644 index 00000000..8be88462 --- /dev/null +++ b/packages/core/src/logic/profileRecommendation.ts @@ -0,0 +1,335 @@ +/** + * Client-side profile recommendation engine. + * + * TypeScript port of the Python `ProfileRecommendationService` scoring + * logic from `profile_recommendation_service.py`. Runs entirely in the + * browser — no backend required. Used by DirectModeInterceptor to back + * the `/api/profiles/find-similar` and `/api/profiles/recommend` endpoints. + * + * Scoring allocates 100 points across 5 dimensions: + * - Stage structure fingerprint: 35 + * - Tag/keyword matching: 25 + * - Target weight similarity: 15 + * - Peak pressure similarity: 15 + * - Temperature similarity: 10 + */ + +import { + extractFingerprint, + extractNameTags, + temperatureRange, + type AnalyzableProfile, + type ProfileFingerprint, +} from './profileAnalysis' + +// ── Types ────────────────────────────────────────────────────────────────── + +export interface Recommendation { + profile_name: string + score: number + explanation: string + match_reasons: string[] +} + +// ── Jaccard similarity ───────────────────────────────────────────────────── + +function jaccard(a: Set, b: Set): number { + if (a.size === 0 && b.size === 0) return 0 + const union = new Set([...a, ...b]) + if (union.size === 0) return 0 + let intersection = 0 + for (const item of a) { + if (b.has(item)) intersection++ + } + return intersection / union.size +} + +// ── Proximity scoring ────────────────────────────────────────────────────── + +function proximityScore( + a: number | null, + b: number | null, + fullRange: number, + partialRange: number, + maxPoints: number, +): number { + if (a == null || b == null) return 0 + const diff = Math.abs(a - b) + if (diff <= fullRange) return maxPoints + if (diff <= partialRange) { + const frac = 1 - (diff - fullRange) / (partialRange - fullRange) + return Math.round(frac * maxPoints * 10) / 10 + } + return 0 +} + +// ── Main scoring function ────────────────────────────────────────────────── + +/** + * Score a candidate profile against user tags and fingerprint. + * Faithful port of Python `_score_profile()`. + */ +function scoreProfile( + userTags: Set, + userFingerprint: ProfileFingerprint | null, + candidate: AnalyzableProfile, +): { score: number; matchReasons: string[]; explanation: string } { + const reasons: string[] = [] + let score = 0 + + const candFp = extractFingerprint(candidate) + const candTags = extractNameTags(candidate) + + // --- Stage structure (35 points) --- + if (userFingerprint) { + let structScore = 0 + + // Control mode match (pressure/flow/mixed) — 12 pts + if (userFingerprint.controlMode === candFp.controlMode) { + structScore += 12 + if (candFp.controlMode !== 'unknown') { + reasons.push(`${candFp.controlMode.charAt(0).toUpperCase() + candFp.controlMode.slice(1)}-controlled`) + } + } else if ( + userFingerprint.controlMode !== 'unknown' && + candFp.controlMode !== 'unknown' + ) { + if (userFingerprint.controlMode === 'mixed' || candFp.controlMode === 'mixed') { + structScore += 4 + } + } + + // Technique feature overlap — 15 pts + const userTechniques = userFingerprint.techniqueTags + const candTechniques = candFp.techniqueTags + if (userTechniques.size > 0 || candTechniques.size > 0) { + const techSim = jaccard(userTechniques, candTechniques) + structScore += techSim * 15 + const overlap: string[] = [] + for (const t of userTechniques) { + // Skip 'flat' when isFlat match will already produce "Flat profile" reason + if (t === 'flat' && userFingerprint.isFlat && candFp.isFlat) continue + if (candTechniques.has(t)) overlap.push(t) + } + if (overlap.length > 0) { + reasons.push(`Techniques: ${overlap.sort().join(', ')}`) + } + } + + // Stage count similarity — 4 pts + const countDiff = Math.abs(userFingerprint.stageCount - candFp.stageCount) + if (countDiff === 0) structScore += 4 + else if (countDiff <= 1) structScore += 2 + else if (countDiff <= 2) structScore += 1 + + // Flat profile match — 4 pts + if (userFingerprint.isFlat === candFp.isFlat) { + structScore += 4 + if (candFp.isFlat) { + reasons.push('Flat profile') + } + } + + score += Math.min(structScore, 35) + } + + // --- Tag matching (25 points) --- + const userLower = new Set([...userTags].map(t => t.toLowerCase())) + // Normalize internal technique tags → user-facing labels + add derived tags + const techniqueToLabel: Record = { + 'pressure-profile': 'pressure-controlled', + 'flow-profile': 'flow-controlled', + 'mixed-profile': 'mixed-controlled', + } + const normalizedTechniqueTags = [...candFp.techniqueTags].map(t => + (techniqueToLabel[t] ?? t).toLowerCase(), + ) + const allCandTags = new Set([ + ...[...candTags].map(t => t.toLowerCase()), + ...normalizedTechniqueTags, + ]) + // Add control-mode as a derived tag + if (candFp.controlMode && candFp.controlMode !== 'unknown') { + allCandTags.add(`${candFp.controlMode}-controlled`) + } + // Add temperature range as a derived tag + if (candFp.temperature != null) { + allCandTags.add(temperatureRange(candFp.temperature).toLowerCase()) + } + if (userLower.size > 0) { + const tagSim = jaccard(userLower, allCandTags) + const tagPts = tagSim * 25 + score += tagPts + + const overlap: string[] = [] + for (const t of userLower) { + if (allCandTags.has(t)) overlap.push(t) + } + if (overlap.length > 0) { + // Filter out already-reported technique tags + const userTechTags = userFingerprint?.techniqueTags ?? new Set() + const tagOnly = overlap.filter(t => !userTechTags.has(t)) + if (tagOnly.length > 0) { + reasons.push(`Matching: ${tagOnly.sort().join(', ')}`) + } + } + } + + // --- Target weight (15 points) --- + const userWeight = userFingerprint?.finalWeight ?? null + const candWeight = candFp.finalWeight + const wPts = proximityScore(userWeight, candWeight, 2.0, 10.0, 15) + score += wPts + if (wPts >= 10 && candWeight != null) { + reasons.push(`Target weight: ${Math.round(candWeight)}g`) + } + + // --- Peak pressure (15 points) --- + const userPeak = userFingerprint?.peakPressure ?? 0 + const candPeak = candFp.peakPressure + if (userPeak > 0 && candPeak > 0) { + const pPts = proximityScore(userPeak, candPeak, 0.5, 3.0, 15) + score += pPts + if (pPts >= 10) { + reasons.push(`Peak pressure: ${candPeak.toFixed(1)} bar`) + } + } + + // --- Temperature (10 points) --- + const userTemp = userFingerprint?.temperature ?? null + const candTemp = candFp.temperature + const tPts = proximityScore(userTemp, candTemp, 2.0, 5.0, 10) + score += tPts + if (tPts >= 7 && candTemp != null) { + reasons.push(temperatureRange(candTemp)) + } + + const explanation = reasons.join('; ') + const finalScore = Math.min(Math.round(score * 10) / 10, 100) + + return { score: finalScore, matchReasons: reasons, explanation } +} + +// ── User fingerprint from tags ───────────────────────────────────────────── + +/** + * Build a synthetic fingerprint from user tags. + * Port of Python `_build_user_fingerprint()`. + */ +function buildUserFingerprint( + userTags: Set, +): ProfileFingerprint { + const techniqueTags = new Set() + + const tagToTechnique: Record = { + preinfusion: 'preinfusion', + 'pre-infusion': 'preinfusion', + bloom: 'bloom', + soak: 'bloom', + pulse: 'pulse', + lever: 'lever', + turbo: 'turbo', + ramp: 'ramp', + decline: 'decline', + taper: 'taper', + flat: 'flat', + pressure: 'pressure-profile', + flow: 'flow-profile', + 'pressure-controlled': 'pressure-profile', + 'flow-controlled': 'flow-profile', + 'mixed-controlled': 'mixed-profile', + } + + for (const tag of userTags) { + const tLower = tag.toLowerCase() + if (tLower in tagToTechnique) { + techniqueTags.add(tagToTechnique[tLower]) + } + } + + let controlMode: ProfileFingerprint['controlMode'] = 'unknown' + if (techniqueTags.has('pressure-profile')) controlMode = 'pressure' + else if (techniqueTags.has('flow-profile')) controlMode = 'flow' + else if (techniqueTags.has('mixed-profile')) controlMode = 'mixed' + + let stageCount = 2 + if (techniqueTags.has('preinfusion')) stageCount += 1 + if (techniqueTags.has('bloom')) stageCount += 1 + if (techniqueTags.has('pulse')) stageCount = Math.max(stageCount, 5) + + return { + stageTypes: [], + controlMode, + hasPreinfusion: techniqueTags.has('preinfusion'), + hasBloom: techniqueTags.has('bloom'), + hasPulse: techniqueTags.has('pulse'), + isFlat: techniqueTags.has('flat'), + peakPressure: 0, + maxFlow: 0, + isAdaptive: false, + stageCount, + techniqueTags, + temperature: null, + finalWeight: null, + } +} + +// ── Public API ───────────────────────────────────────────────────────────── + +/** + * Find profiles structurally similar to a given source profile. + * Port of Python `ProfileRecommendationService.find_similar()`. + */ +export function findSimilarProfiles( + sourceProfile: AnalyzableProfile, + allProfiles: AnalyzableProfile[], + limit = 10, +): Recommendation[] { + const sourceFp = extractFingerprint(sourceProfile) + const sourceTags = extractNameTags(sourceProfile) + const sourceName = sourceProfile.name ?? '' + + const scored: Recommendation[] = [] + for (const p of allProfiles) { + if ((p.name ?? '') === sourceName) continue + const { score, matchReasons, explanation } = scoreProfile(sourceTags, sourceFp, p) + scored.push({ + profile_name: p.name ?? 'Unknown', + score, + explanation, + match_reasons: matchReasons, + }) + } + + scored.sort((a, b) => b.score - a.score) + return scored.filter(s => s.score > 0).slice(0, limit) +} + +/** + * Get profile recommendations based on user-selected tags. + * Port of Python `ProfileRecommendationService.get_recommendations()`. + */ +export function getRecommendations( + tags: string[], + allProfiles: AnalyzableProfile[], + limit = 5, +): Recommendation[] { + if (allProfiles.length === 0) return [] + + const userTags = new Set(tags) + const userFingerprint = buildUserFingerprint(userTags) + + const scored: Recommendation[] = [] + for (const p of allProfiles) { + const { score, matchReasons, explanation } = scoreProfile(userTags, userFingerprint, p) + scored.push({ + profile_name: p.name ?? 'Unknown', + score, + explanation, + match_reasons: matchReasons, + }) + } + + scored.sort((a, b) => b.score - a.score) + return scored.filter(s => s.score > 0).slice(0, limit) +} diff --git a/packages/core/src/logic/shotFacts.ts b/packages/core/src/logic/shotFacts.ts new file mode 100644 index 00000000..4f7dca35 --- /dev/null +++ b/packages/core/src/logic/shotFacts.ts @@ -0,0 +1,291 @@ +/** + * Deterministic shot-fact derivation (#423 + diagnostic signals). + * TS parity of apps/server/services/shot_facts.py — keep thresholds identical. + */ + +// Threshold constants — keep identical to shot_facts.py +export const STALL_MIN_WEIGHT_GAIN_G = 0.5 +export const CHANNELING_PRESSURE_DROP_BAR = 1.5 +export const CHANNELING_FLOW_RISE_MLS = 1.5 +// #423 effective-mode thresholds (from the superseding issue comment): +export const EFFECTIVE_FLOW_TARGET_MIN = 6.0 +export const EFFECTIVE_FLOW_LIMIT_MAX = 3.0 +// #423 puck-failure detection thresholds: +export const YIELD_THRESHOLD = 0.10 // weight trigger within this of global target = final-yield stage +export const TOLERANCE_THRESHOLD = 0.20 // peak pressure must reach (1-this)×target to be "on-target" + +export type TriggerKind = 'targeted' | 'failsafe' | 'unknown' +export interface TriggerClass { kind: TriggerKind; label: string; reason: string } +export interface StallResult { stalled: boolean; weight_gain: number } +export interface ChannelingResult { channeling: boolean; pressure_drop: number; flow_rise: number } + +interface ExecutionData { + duration?: number; weight_gain?: number; end_weight?: number + start_pressure?: number; end_pressure?: number; avg_pressure?: number; max_pressure?: number; min_pressure?: number + start_flow?: number; end_flow?: number; avg_flow?: number; max_flow?: number +} +interface StageAnalysis { + stage_name?: string; stage_type?: string; type?: string + exit_triggers?: Array<{ type?: string }> + exit_trigger_result?: { triggered?: { type?: string; target?: number } | null } | null + execution_data?: ExecutionData | null + profile_target?: { target_value?: number } | unknown + profile_target_value?: number | null + profile_max_target?: number | null + limits?: Array<{ type?: string; value?: number }> +} +export interface ShotFactStage { + stage_name?: string + reached: boolean + control_mode?: string + declared_mode?: string + mode_overridden?: boolean + trigger_type?: string + trigger_class?: TriggerClass + stall?: StallResult + channeling?: ChannelingResult + curve_adherence?: { target: number; measured: number; delta: number } | null +} +export interface ShotFacts { + stages: ShotFactStage[] + phases: Array<{ stage_name?: string; phase: string; avg_pressure?: number; avg_flow?: number; weight_gain?: number }> + weight: { actual?: number; target?: number; deviation_pct?: number } + total_time_s?: number +} + +const n = (v: unknown): number => (typeof v === 'number' && !Number.isNaN(v) ? v : 0) +const r2 = (v: number): number => Math.round(v * 100) / 100 + +export interface ClassifyTriggerOptions { + triggerValue?: number | null + globalTargetWeight?: number | null + onTarget?: boolean | null + isTerminalStage?: boolean + weightOnTarget?: boolean | null +} + +export function classifyTrigger( + stageControlMode: string, + triggerType: string, + totalTriggers: number, + opts: ClassifyTriggerOptions = {}, +): TriggerClass { + const { triggerValue = null, globalTargetWeight = null, onTarget = null, isTerminalStage = false, weightOnTarget = null } = opts + if (!triggerType) { + // No exit trigger fired. A stage with no exit triggers defined transitions + // on its planned dynamics duration (intermediate stage) or ends when the + // shot reaches its global target weight (final stage) — both intentional. + if (totalTriggers === 0) { + if (isTerminalStage) { + if (weightOnTarget) { + return { kind: 'targeted', label: 'Targeted (yield reached)', reason: 'The final stage ended when the shot reached its target weight.' } + } + return { kind: 'unknown', label: 'Unknown', reason: 'The final stage has no exit trigger and the shot did not reach its target weight (likely a manual stop).' } + } + return { kind: 'targeted', label: 'Targeted (planned transition)', reason: 'The stage has no exit trigger; it transitions to the next stage on its planned dynamics duration.' } + } + // Exit triggers were defined but none of them fired. + return { kind: 'unknown', label: 'Unknown', reason: 'The stage defined exit triggers but none of them fired.' } + } + if (triggerType === 'weight') { + const nearFinal = + globalTargetWeight != null && globalTargetWeight > 0 && + triggerValue != null && triggerValue >= globalTargetWeight * (1 - YIELD_THRESHOLD) + if (nearFinal && onTarget === false) { + return { + kind: 'failsafe', + label: 'Failsafe (puck failure — yield hit off-target)', + reason: 'The final weight target was reached, but the stage never built its intended pressure, so the yield came from an uncontrolled extraction (likely channeling or a failed puck).', + } + } + if (!nearFinal && triggerValue != null && globalTargetWeight != null && globalTargetWeight > 0) { + return { + kind: 'targeted', + label: 'Targeted (stage yield / first-drip check)', + reason: 'Stage exited on an intermediate weight milestone below the final target.', + } + } + return { kind: 'targeted', label: 'Targeted (yield reached)', reason: 'Weight is the ultimate goal of the shot.' } + } + if (triggerType === 'time') { + return totalTriggers === 1 + ? { kind: 'targeted', label: 'Targeted (planned duration)', reason: 'Time is the only trigger, so this is an intentional timed stage.' } + : { + kind: 'targeted', + label: 'Targeted (timed transition)', + reason: 'The stage transitioned when its planned time elapsed; the other exit conditions simply did not fire first. A time exit is a valid, intended transition — a genuine timeout with no extraction is surfaced separately as a stall.', + } + } + if ((stageControlMode === 'flow' || stageControlMode === 'power') && triggerType === 'pressure') { + return { kind: 'targeted', label: 'Targeted (puck resistance achieved)', reason: 'Flow-controlled stage reached its intended pressure.' } + } + if ((stageControlMode === 'flow' || stageControlMode === 'power') && triggerType === 'flow') { + return { kind: 'targeted', label: 'Targeted (flow target reached)', reason: 'Flow-controlled stage reached its intended flow condition.' } + } + if (stageControlMode === 'pressure' && triggerType === 'flow') { + return totalTriggers === 1 + ? { kind: 'targeted', label: 'Targeted (planned flow transition)', reason: 'Flow is the only trigger, so the transition is intentional.' } + : { kind: 'failsafe', label: 'Failsafe (caught channeling or choking)', reason: 'Pressure-controlled stage exited on a flow backstop.' } + } + if (stageControlMode === 'pressure' && triggerType === 'pressure') { + return { kind: 'targeted', label: 'Targeted (pressure threshold reached)', reason: 'Pressure-controlled stage reached its target pressure.' } + } + return { kind: 'unknown', label: 'Unknown', reason: 'Trigger/control-mode combination is not classified.' } +} + +function resolveStageControlMode(stage: StageAnalysis): string { + const t = (stage.stage_type ?? stage.type ?? '').toLowerCase() + if (t.includes('flow')) return 'flow' + if (t.includes('pressure')) return 'pressure' + if (t.includes('power')) return 'power' + return 'unknown' +} + +function limitValue(stage: StageAnalysis, limitType: string): number | null { + const lim = (stage.limits ?? []).find(l => l.type === limitType) + if (!lim || typeof lim.value !== 'number' || Number.isNaN(lim.value)) return null + return lim.value +} + +/** + * Determine a stage's *effective* control mode, correcting for #423 cases where + * the declared type does not reflect the true intent. + * + * 1. Aggressive flow (peak target ≥ 6 ml/s) with a pressure limit ⇒ effectively + * pressure-controlled (the pressure limit governs). + * 2. A pressure stage with a highly restricted flow limit (≤ 3 ml/s) ⇒ + * effectively flow-controlled (can't build pressure). + * 3. Power stages are raw mechanical drive. + * + * Falls back to the declared control mode when no override applies. Mirror of + * shot_facts.effective_control_mode — keep the two in sync. + */ +export function effectiveControlMode(stage: StageAnalysis): string { + const declared = resolveStageControlMode(stage) + if (declared === 'power') return 'power' + const maxTarget = typeof stage.profile_max_target === 'number' ? stage.profile_max_target : null + const pressureLimit = limitValue(stage, 'pressure') + const flowLimit = limitValue(stage, 'flow') + if (declared === 'flow' && maxTarget != null && maxTarget >= EFFECTIVE_FLOW_TARGET_MIN && pressureLimit != null) { + return 'pressure' + } + if (declared === 'pressure' && flowLimit != null && flowLimit <= EFFECTIVE_FLOW_LIMIT_MAX) { + return 'flow' + } + return declared +} + +/** + * Whether a pressure-governed stage actually built its intended pressure (#423). + * + * Puck failure is only reliably detectable on pressure-governed extraction: a + * channelled/collapsed puck never lets pressure reach the intended band even + * though weight accrues. Flow-governed / power / target-less stages return null + * (a volumetric shot hitting weight is normal). Mirror of shot_facts._yield_stage_on_target. + */ +export function yieldStageOnTarget(stage: StageAnalysis, effectiveMode: string): boolean | null { + if (effectiveMode !== 'pressure') return null + let target = limitValue(stage, 'pressure') + if (target == null && resolveStageControlMode(stage) === 'pressure') { + target = typeof stage.profile_target_value === 'number' ? stage.profile_target_value : null + } + if (target == null || target === 0) return null + const maxPressure = stage.execution_data?.max_pressure + if (maxPressure == null) return null + return maxPressure >= (1 - TOLERANCE_THRESHOLD) * target +} + +export function detectStall(stage: StageAnalysis): StallResult { + const trigType = stage.exit_trigger_result?.triggered?.type ?? '' + const total = (stage.exit_triggers ?? []).length + const gain = n(stage.execution_data?.weight_gain) + // A stall is a time-terminated stage that had another unmet target + // (total > 1) yet extracted almost nothing. Purely timed stages are intentional. + const stalled = trigType === 'time' && total > 1 && gain < STALL_MIN_WEIGHT_GAIN_G + return { stalled, weight_gain: r2(gain) } +} + +export function detectChanneling(ed: ExecutionData): ChannelingResult { + const pDrop = n(ed.start_pressure) - n(ed.end_pressure) + const fRise = n(ed.end_flow) - n(ed.start_flow) + return { + channeling: pDrop >= CHANNELING_PRESSURE_DROP_BAR && fRise >= CHANNELING_FLOW_RISE_MLS, + pressure_drop: r2(pDrop), + flow_rise: r2(fRise), + } +} + +function buildPhases(stages: StageAnalysis[]): ShotFacts['phases'] { + return stages + .filter(s => s.execution_data) + .map(s => { + const ed = s.execution_data as ExecutionData + const avgP = n(ed.avg_pressure) + let phase: string + if (avgP < 3.0) phase = 'pre-infusion' + else if (n(ed.end_pressure) > n(ed.start_pressure)) phase = 'ramp' + else if (n(ed.end_pressure) < n(ed.start_pressure)) phase = 'decline' + else phase = 'peak' + return { stage_name: s.stage_name, phase, avg_pressure: ed.avg_pressure, avg_flow: ed.avg_flow, weight_gain: ed.weight_gain } + }) +} + +function curveAdherence(stage: StageAnalysis): ShotFactStage['curve_adherence'] { + const target = typeof stage.profile_target_value === 'number' ? stage.profile_target_value : null + if (target == null) return null + const mode = resolveStageControlMode(stage) + const measured = mode === 'pressure' ? stage.execution_data?.avg_pressure : stage.execution_data?.avg_flow + if (measured == null) return null + return { target, measured, delta: r2(measured - target) } +} + +export function buildShotFacts(analysis: { + stage_analyses?: StageAnalysis[] + weight_analysis?: { actual?: number; target?: number; deviation_percent?: number } + shot_summary?: { total_time?: number } + overall_metrics?: { total_time?: number } +}): ShotFacts { + const stages = analysis.stage_analyses ?? [] + const globalTargetWeight = analysis.weight_analysis?.target ?? null + const actualWeight = analysis.weight_analysis?.actual ?? null + const weightOnTarget = + actualWeight != null && globalTargetWeight != null && globalTargetWeight > 0 + ? actualWeight >= globalTargetWeight * (1 - YIELD_THRESHOLD) + : null + let lastExecutedIdx = -1 + stages.forEach((s, i) => { if (s.execution_data) lastExecutedIdx = i }) + const stagesOut: ShotFactStage[] = stages.map((s, i) => { + if (!s.execution_data) return { stage_name: s.stage_name, reached: false } + const trigType = s.exit_trigger_result?.triggered?.type ?? '' + const trigValue = s.exit_trigger_result?.triggered?.target ?? null + const total = (s.exit_triggers ?? []).length + const declaredMode = resolveStageControlMode(s) + const effectiveMode = effectiveControlMode(s) + const onTarget = yieldStageOnTarget(s, effectiveMode) + return { + stage_name: s.stage_name, + reached: true, + control_mode: effectiveMode, + declared_mode: declaredMode, + mode_overridden: effectiveMode !== declaredMode, + trigger_type: trigType, + trigger_class: classifyTrigger(effectiveMode, trigType, total, { + triggerValue: trigValue, + globalTargetWeight, + onTarget, + isTerminalStage: i === lastExecutedIdx, + weightOnTarget, + }), + stall: detectStall(s), + channeling: detectChanneling(s.execution_data), + curve_adherence: curveAdherence(s), + } + }) + const wa = analysis.weight_analysis ?? {} + return { + stages: stagesOut, + phases: buildPhases(stages), + weight: { actual: wa.actual, target: wa.target, deviation_pct: wa.deviation_percent }, + total_time_s: analysis.shot_summary?.total_time ?? analysis.overall_metrics?.total_time, + } +} diff --git a/packages/core/src/logic/tags.ts b/packages/core/src/logic/tags.ts new file mode 100644 index 00000000..3254e5c6 --- /dev/null +++ b/packages/core/src/logic/tags.ts @@ -0,0 +1,221 @@ +// Preset tags with categories for filtering and display +export const PRESET_TAGS = [ + { label: 'Light Body', category: 'body' }, + { label: 'Medium Body', category: 'body' }, + { label: 'Heavy Body', category: 'body' }, + { label: 'Florals', category: 'flavor' }, + { label: 'Acidity', category: 'flavor' }, + { label: 'Fruitiness', category: 'flavor' }, + { label: 'Chocolate', category: 'flavor' }, + { label: 'Nutty', category: 'flavor' }, + { label: 'Caramel', category: 'flavor' }, + { label: 'Berry', category: 'flavor' }, + { label: 'Citrus', category: 'flavor' }, + { label: 'Funky', category: 'flavor' }, + { label: 'Thin', category: 'mouthfeel' }, + { label: 'Mouthfeel', category: 'mouthfeel' }, + { label: 'Creamy', category: 'mouthfeel' }, + { label: 'Syrupy', category: 'mouthfeel' }, + { label: 'Italian', category: 'style' }, + { label: 'Modern', category: 'style' }, + { label: 'Lever', category: 'style' }, + { label: 'Long', category: 'extraction' }, + { label: 'Short', category: 'extraction' }, + { label: 'Turbo', category: 'extraction' }, + { label: 'Light Roast', category: 'roast' }, + { label: 'Medium Roast', category: 'roast' }, + { label: 'Dark Roast', category: 'roast' }, + { label: 'Sweet', category: 'characteristic' }, + { label: 'Balanced', category: 'characteristic' }, + { label: 'Bloom', category: 'process' }, + { label: 'Pre-infusion', category: 'process' }, + { label: 'Pulse', category: 'process' }, + // Technique tags (from structural analysis) + { label: 'Pressure-controlled', category: 'technique' }, + { label: 'Flow-controlled', category: 'technique' }, + { label: 'Mixed-controlled', category: 'technique' }, + { label: 'Flat profile', category: 'technique' }, + { label: 'Ramp', category: 'technique' }, + { label: 'Decline', category: 'technique' }, + { label: 'Taper', category: 'technique' }, + // Temperature range tags + { label: 'Very low temp (<82°C)', category: 'temperature' }, + { label: 'Low temp (82–84°C)', category: 'temperature' }, + { label: 'Warm (85–87°C)', category: 'temperature' }, + { label: 'Medium temp (88–90°C)', category: 'temperature' }, + { label: 'High temp (91–93°C)', category: 'temperature' }, + { label: 'Very high temp (94°C+)', category: 'temperature' }, + // Weight range tags + { label: 'Ristretto (≤35g)', category: 'weight' }, + { label: 'Normale (36–44g)', category: 'weight' }, + { label: 'Lungo (45–54g)', category: 'weight' }, + { label: 'Allongé (55g+)', category: 'weight' }, + // Pressure range tags + { label: 'Low pressure (≤4 bar)', category: 'pressure' }, + { label: 'Medium pressure (5–7 bar)', category: 'pressure' }, + { label: 'Standard pressure (8–9 bar)', category: 'pressure' }, + { label: 'High pressure (10+ bar)', category: 'pressure' }, + // Structural tags + { label: 'Adaptive', category: 'technique' }, +] as const + +export type TagCategory = typeof PRESET_TAGS[number]['category'] + +// Refined color palette - high contrast for readability +// Uses custom CSS classes (defined in index.css) with .dark selector +// to bypass Tailwind v4 compat-mode media-query dark variant issue +export const CATEGORY_COLORS: Record = { + body: 'tag-body', + flavor: 'tag-flavor', + mouthfeel: 'tag-mouthfeel', + style: 'tag-style', + extraction: 'tag-extraction', + roast: 'tag-roast', + characteristic: 'tag-characteristic', + process: 'tag-process', + technique: 'tag-technique', + temperature: 'tag-temperature', + weight: 'tag-weight', + pressure: 'tag-pressure', +} + +export const CATEGORY_COLORS_SELECTED: Record = { + body: 'tag-body-selected text-white shadow-sm', + flavor: 'tag-flavor-selected text-white shadow-sm', + mouthfeel: 'tag-mouthfeel-selected text-white shadow-sm', + style: 'tag-style-selected text-white shadow-sm', + extraction: 'tag-extraction-selected text-white shadow-sm', + roast: 'tag-roast-selected text-white shadow-sm', + characteristic: 'tag-characteristic-selected text-white shadow-sm', + process: 'tag-process-selected text-white shadow-sm', + technique: 'tag-technique-selected text-white shadow-sm', + temperature: 'tag-temperature-selected text-white shadow-sm', + weight: 'tag-weight-selected text-white shadow-sm', + pressure: 'tag-pressure-selected text-white shadow-sm', +} + +// Get category for a tag label +export function getTagCategory(label: string): TagCategory | null { + const tag = PRESET_TAGS.find(t => t.label.toLowerCase() === label.toLowerCase()) + return tag ? tag.category : null +} + +// Get color classes for a tag +export function getTagColorClass(label: string, selected = false): string { + const category = getTagCategory(label) + if (!category) return 'tag-default' + return selected ? CATEGORY_COLORS_SELECTED[category] : CATEGORY_COLORS[category] +} + +// Extract known tags from a user preferences string +export function extractTagsFromPreferences(preferences: string | null): string[] { + if (!preferences) return [] + + const prefLower = preferences.toLowerCase() + return PRESET_TAGS + .filter(tag => prefLower.includes(tag.label.toLowerCase())) + .map(tag => tag.label) +} + +// Get all unique tags from history entries +export function getAllTagsFromEntries(entries: Array<{ user_preferences: string | null }>): string[] { + const allTags = new Set() + + entries.forEach(entry => { + const tags = extractTagsFromPreferences(entry.user_preferences) + tags.forEach(tag => allTags.add(tag)) + }) + + return Array.from(allTags).sort() +} + +// Sensory tag vocabulary the AI may infer during description generation (#400). +// Mirrors the flavor / mouthfeel / roast / body / characteristic categories; +// structural / temperature / weight / pressure tags are derived deterministically. +export const AI_TAG_LABELS: string[] = PRESET_TAGS.filter(t => + (['body', 'flavor', 'mouthfeel', 'roast', 'characteristic'] as TagCategory[]).includes(t.category) +).map(t => t.label) + +const AI_TAG_LOOKUP = new Map(AI_TAG_LABELS.map(label => [label.toLowerCase(), label])) + +// Instruction appended to AI description prompts to request sensory tags (#400). +export const AI_TAGS_PROMPT = + '\n\nFinally, on a separate last line, output:\n' + + 'Tags: [comma-separated subset of EXACTLY these labels that match the ' + + "coffee's likely sensory profile, or leave empty if unsure: " + + AI_TAG_LABELS.join(', ') + + ']\nOnly use labels from that list; do not invent new ones.' + +// Extract and validate sensory tags from a generated description's `Tags:` line. +// Small on-device models often decorate the line with markdown (e.g. "**Tags:**" +// or "- Tags:"), so tolerate leading bullets/quotes and bold/italic markers. +const TAGS_LINE_RE = /^[ \t]*(?:[>*+\-#]+[ \t]*)?(?:\*\*|__|\*|_)?[ \t]*Tags[ \t]*(?:\*\*|__|\*|_)?[ \t]*:[ \t]*(.*)$/im +const TAGS_LINE_STRIP_RE = /^[ \t]*(?:[>*+\-#]+[ \t]*)?(?:\*\*|__|\*|_)?[ \t]*Tags[ \t]*(?:\*\*|__|\*|_)?[ \t]*:[ \t]*.*$/gim + +export function parseAiTags(text: string | null | undefined): string[] { + if (!text) return [] + const match = text.match(TAGS_LINE_RE) + if (!match) return [] + const result: string[] = [] + const seen = new Set() + for (const raw of match[1].split(',')) { + const candidate = raw.replace(/[[\]*_]/g, '').trim().replace(/\.+$/, '').trim() + const canonical = AI_TAG_LOOKUP.get(candidate.toLowerCase()) + if (canonical && !seen.has(canonical)) { + seen.add(canonical) + result.push(canonical) + } + } + return result +} + +// Remove the trailing `Tags:` line from a generated description body. +export function stripTagsLine(text: string): string { + if (!text) return text + return text.replace(TAGS_LINE_STRIP_RE, '').replace(/\s+$/, '') +} + +// Map a match reason string from the recommendation engine to a tag color class. +// Match reasons have patterns like "Pressure-controlled", "Techniques: bloom, preinfusion", +// "Flat profile", "Target weight: 36g", "Peak pressure: 9.0 bar", "High temp", "Matching: fruity, sweet" +export function getMatchReasonColorClass(reason: string): string { + const lower = reason.toLowerCase() + + // Direct preset tag lookup first + const directCategory = getTagCategory(reason) + if (directCategory) return CATEGORY_COLORS[directCategory] + + // Control mode reasons + if (lower.endsWith('-controlled')) return 'tag-technique' + + // Technique reasons (prefix or direct) + if (lower.startsWith('techniques:') || lower === 'flat profile') return 'tag-technique' + + // Temperature range reasons + if (lower.includes('temp')) return 'tag-temperature' + + // Weight reasons + if (lower.startsWith('target weight') || lower.includes('ristretto') || lower.includes('normale') || lower.includes('lungo') || lower.includes('allongé')) return 'tag-weight' + + // Pressure reasons + if (lower.startsWith('peak pressure') || lower.includes('pressure (')) return 'tag-pressure' + + // "Matching:" prefix — try to detect the category from the first matched tag + if (lower.startsWith('matching:')) { + const tags = reason.slice('matching:'.length).split(',').map(t => t.trim()) + for (const tag of tags) { + const cat = getTagCategory(tag) + if (cat) return CATEGORY_COLORS[cat] + } + } + + return 'tag-default' +} + +// Get CSS class for a match score percentage badge +export function getScoreColorClass(score: number): string { + if (score >= 75) return 'score-high' + if (score >= 50) return 'score-good' + if (score >= 25) return 'score-fair' + return 'score-low' +} diff --git a/packages/core/src/logic/uuid.ts b/packages/core/src/logic/uuid.ts new file mode 100644 index 00000000..ec3644d1 --- /dev/null +++ b/packages/core/src/logic/uuid.ts @@ -0,0 +1,30 @@ +/** + * Generate a RFC-4122 v4 UUID that works in insecure contexts. + * + * `crypto.randomUUID()` is only exposed in secure contexts (HTTPS or + * localhost). Metic is frequently self-hosted and reached over plain + * `http://:`, where `crypto.randomUUID` is `undefined` and a + * bare call throws. This helper falls back to `crypto.getRandomValues` and, + * as a last resort, `Math.random`, so callers always get a usable id. + */ +export function safeRandomUUID(): string { + const native = globalThis.crypto?.randomUUID?.() + if (native) return native + + const bytes = new Uint8Array(16) + if (globalThis.crypto?.getRandomValues) { + globalThis.crypto.getRandomValues(bytes) + } else { + for (let i = 0; i < bytes.length; i++) bytes[i] = Math.floor(Math.random() * 256) + } + + // Set version (4) and variant (10xx) bits per RFC 4122. + bytes[6] = (bytes[6] & 0x0f) | 0x40 + bytes[8] = (bytes[8] & 0x3f) | 0x80 + + const hex = Array.from(bytes, b => b.toString(16).padStart(2, '0')) + return ( + `${hex[0]}${hex[1]}${hex[2]}${hex[3]}-${hex[4]}${hex[5]}-${hex[6]}${hex[7]}-` + + `${hex[8]}${hex[9]}-${hex[10]}${hex[11]}${hex[12]}${hex[13]}${hex[14]}${hex[15]}` + ) +} diff --git a/apps/web/src/lib/analysisLint.test.ts b/packages/core/test/contract/analysisLint.test.ts similarity index 96% rename from apps/web/src/lib/analysisLint.test.ts rename to packages/core/test/contract/analysisLint.test.ts index c5fa1d72..667e3244 100644 --- a/apps/web/src/lib/analysisLint.test.ts +++ b/packages/core/test/contract/analysisLint.test.ts @@ -1,7 +1,7 @@ import { describe, it, expect } from 'vitest' -import { lintShotAnalysis, repairShotAnalysis, validateAgainstFacts, checkStructure } from './analysisLint' -import { REQUIRED_ANALYSIS_SECTIONS } from './analysisSchema' -import type { ShotFacts } from './shotFacts' +import { lintShotAnalysis, repairShotAnalysis, validateAgainstFacts, checkStructure } from '../../src/logic/analysisLint' +import { REQUIRED_ANALYSIS_SECTIONS } from '../../src/logic/analysisSchema' +import type { ShotFacts } from '../../src/logic/shotFacts' const wellFormed = `## 1. Overall Assessment **Summary:** A balanced, well-extracted shot with good temperature stability. diff --git a/apps/web/src/services/decentConverter.test.ts b/packages/core/test/contract/decentConverter.test.ts similarity index 99% rename from apps/web/src/services/decentConverter.test.ts rename to packages/core/test/contract/decentConverter.test.ts index 69f4de5d..bbfc944d 100644 --- a/apps/web/src/services/decentConverter.test.ts +++ b/packages/core/test/contract/decentConverter.test.ts @@ -1,5 +1,5 @@ import { describe, it, expect } from 'vitest' -import { detectDecentFormat, convertDecentToMeticulous } from './decentConverter' +import { detectDecentFormat, convertDecentToMeticulous } from '../../src/logic/decentConverter' const VALID_DECENT = { title: 'Londinium', diff --git a/apps/web/src/lib/profileAnalysis.test.ts b/packages/core/test/contract/profileAnalysis.test.ts similarity index 99% rename from apps/web/src/lib/profileAnalysis.test.ts rename to packages/core/test/contract/profileAnalysis.test.ts index 3dbac3d6..90cb852b 100644 --- a/apps/web/src/lib/profileAnalysis.test.ts +++ b/packages/core/test/contract/profileAnalysis.test.ts @@ -15,7 +15,7 @@ import { deriveStructuralTags, type AnalyzableProfile, type ProfileStage, -} from './profileAnalysis' +} from '../../src/logic/profileAnalysis' // ── Helpers (mirrors Python _make_stage / _make_profile) ─────────────────── diff --git a/apps/web/src/lib/profileRecommendation.test.ts b/packages/core/test/contract/profileRecommendation.test.ts similarity index 98% rename from apps/web/src/lib/profileRecommendation.test.ts rename to packages/core/test/contract/profileRecommendation.test.ts index dff2d66b..333033b5 100644 --- a/apps/web/src/lib/profileRecommendation.test.ts +++ b/packages/core/test/contract/profileRecommendation.test.ts @@ -6,7 +6,7 @@ */ import { describe, it, expect } from 'vitest' -import { findSimilarProfiles, getRecommendations } from './profileRecommendation' +import { findSimilarProfiles, getRecommendations } from '../../src/logic/profileRecommendation' import { makeProfile, PRESSURE_PROFILE, diff --git a/apps/web/src/lib/shotFacts.test.ts b/packages/core/test/contract/shotFacts.test.ts similarity index 99% rename from apps/web/src/lib/shotFacts.test.ts rename to packages/core/test/contract/shotFacts.test.ts index 57238201..43f0037e 100644 --- a/apps/web/src/lib/shotFacts.test.ts +++ b/packages/core/test/contract/shotFacts.test.ts @@ -1,5 +1,5 @@ import { describe, it, expect } from 'vitest' -import { classifyTrigger, detectStall, detectChanneling, buildShotFacts, effectiveControlMode } from './shotFacts' +import { classifyTrigger, detectStall, detectChanneling, buildShotFacts, effectiveControlMode } from '../../src/logic/shotFacts' describe('classifyTrigger (#423)', () => { it('weight is always targeted', () => { diff --git a/apps/web/src/lib/tags.test.ts b/packages/core/test/contract/tags.test.ts similarity index 99% rename from apps/web/src/lib/tags.test.ts rename to packages/core/test/contract/tags.test.ts index 5054ec3c..6bdb5a01 100644 --- a/apps/web/src/lib/tags.test.ts +++ b/packages/core/test/contract/tags.test.ts @@ -10,7 +10,7 @@ import { AI_TAG_LABELS, parseAiTags, stripTagsLine -} from './tags' +} from '../../src/logic/tags' describe('tags', () => { describe('PRESET_TAGS', () => { diff --git a/apps/web/src/lib/uuid.test.ts b/packages/core/test/contract/uuid.test.ts similarity index 95% rename from apps/web/src/lib/uuid.test.ts rename to packages/core/test/contract/uuid.test.ts index 675cfc30..b8e96c88 100644 --- a/apps/web/src/lib/uuid.test.ts +++ b/packages/core/test/contract/uuid.test.ts @@ -1,5 +1,5 @@ import { describe, it, expect, afterEach, vi } from 'vitest' -import { safeRandomUUID } from './uuid' +import { safeRandomUUID } from '../../src/logic/uuid' const UUID_V4 = /^[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/ diff --git a/packages/core/tsconfig.json b/packages/core/tsconfig.json index 997f2ff2..b171b0d0 100644 --- a/packages/core/tsconfig.json +++ b/packages/core/tsconfig.json @@ -5,7 +5,6 @@ "moduleResolution": "bundler", "lib": ["ES2022", "DOM"], "strict": true, - "noUncheckedIndexedAccess": true, "noImplicitOverride": true, "esModuleInterop": true, "skipLibCheck": true, From 66032220d0b709450834b2438b4684380f7fdc28 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 01:44:13 +0200 Subject: [PATCH 06/62] fix(docker): preserve monorepo layout so frontend build resolves @metic/core The web-builder stage flattened apps/web into /build and never copied packages/core, so the frontend's file:../../packages/core dependency could not resolve under bun install. Copy packages/core into the build context and build from /build/apps/web, keeping the two-levels-up relative path intact (also fixes the VERSION path read by vite.config). Verified with a local web-builder build. Refs #532 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- docker/Dockerfile.unified | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/docker/Dockerfile.unified b/docker/Dockerfile.unified index 29c64484..4a5cfec3 100644 --- a/docker/Dockerfile.unified +++ b/docker/Dockerfile.unified @@ -20,15 +20,22 @@ FROM oven/bun:1.3.14-alpine AS web-builder WORKDIR /build -# Copy web app source -COPY apps/web/package.json apps/web/bun.lock* ./ +# The frontend depends on @metic/core via a file: workspace dependency +# (file:../../packages/core), so the monorepo layout must be preserved inside +# the build context: packages/core sits two levels up from apps/web. +COPY packages/core /build/packages/core -# Install dependencies (--no-save prevents lockfile changes, fallback if lock issue) +# Copy web app manifest + lockfile +COPY apps/web/package.json apps/web/bun.lock* /build/apps/web/ + +WORKDIR /build/apps/web + +# Install dependencies (frozen when the lockfile is valid, fallback otherwise) RUN bun install --frozen-lockfile 2>/dev/null || bun install # Copy source and build -COPY apps/web/ ./ -COPY VERSION /VERSION +COPY apps/web/ /build/apps/web/ +COPY VERSION /build/VERSION RUN bun run build @@ -100,7 +107,7 @@ ENV PYTHONUNBUFFERED=1 RUN mkdir -p /app/server /app/mcp-server /var/www/html /data # Copy built web frontend -COPY --from=web-builder /build/dist /var/www/html +COPY --from=web-builder /build/apps/web/dist /var/www/html # Ensure config.json exists (gitignored in source, needed at runtime) RUN echo '{"serverUrl":""}' > /var/www/html/config.json From dca2de24dbfcf3031fb82183bf29cba6593fe8bb Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 01:53:50 +0200 Subject: [PATCH 07/62] refactor(core): extract portable AI knowledge, errors and prompts into @metic/core Moves the framework-free AI pieces into @metic/core (with their tests as core contract tests): AIServiceError/AIErrorCode (aiErrors), the analysis domain knowledge + fact-sheet builder (analysisKnowledge), and the shared prompt builders (prompts). Frontend paths remain thin re-export shims. The i18n- and SDK-coupled provider/retry/model-resolver layers stay in the frontend for the later provider abstraction (Phase 2.6). Verified green: 298 core contract tests + typecheck; 1073 frontend tests; full vite build resolves the linked package; lint clean. Refs #532, #528 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/services/ai/aiErrors.ts | 26 +- apps/web/src/services/ai/analysisKnowledge.ts | 90 +--- apps/web/src/services/ai/prompts/index.ts | 441 +----------------- packages/core/package.json | 5 +- packages/core/src/ai/aiErrors.ts | 24 + packages/core/src/ai/analysisKnowledge.ts | 88 ++++ packages/core/src/ai/prompts.ts | 439 +++++++++++++++++ .../test/contract}/analysisKnowledge.test.ts | 4 +- .../core/test/contract}/prompts.test.ts | 2 +- 9 files changed, 564 insertions(+), 555 deletions(-) create mode 100644 packages/core/src/ai/aiErrors.ts create mode 100644 packages/core/src/ai/analysisKnowledge.ts create mode 100644 packages/core/src/ai/prompts.ts rename {apps/web/src/services/ai => packages/core/test/contract}/analysisKnowledge.test.ts (92%) rename {apps/web/src/services/ai/prompts => packages/core/test/contract}/prompts.test.ts (99%) diff --git a/apps/web/src/services/ai/aiErrors.ts b/apps/web/src/services/ai/aiErrors.ts index 0dec363f..5ef8d9ac 100644 --- a/apps/web/src/services/ai/aiErrors.ts +++ b/apps/web/src/services/ai/aiErrors.ts @@ -1,24 +1,2 @@ -export type AIErrorCode = - | 'API_KEY_MISSING' - | 'QUOTA_EXCEEDED' - | 'API_KEY_INVALID' - | 'MODEL_NOT_FOUND' - | 'NETWORK_ERROR' - | 'SERVICE_UNAVAILABLE' - | 'IMAGE_GENERATION_FAILED' - | 'IMAGE_NO_DATA' - | 'LOCAL_UNAVAILABLE' - | 'LOCAL_VISION_UNSUPPORTED' - | 'LOCAL_TIMEOUT' - | 'LOCAL_MODEL_NOT_DOWNLOADED' - | 'LOCAL_OUT_OF_MEMORY' - | 'LOCAL_GENERATION_FAILED' - | 'UNKNOWN' - -export class AIServiceError extends Error { - constructor(public readonly code: AIErrorCode, cause?: unknown) { - super(code) - this.name = 'AIServiceError' - if (cause !== undefined) Object.defineProperty(this, 'cause', { value: cause }) - } -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/ai/aiErrors"; diff --git a/apps/web/src/services/ai/analysisKnowledge.ts b/apps/web/src/services/ai/analysisKnowledge.ts index 97431021..cb444533 100644 --- a/apps/web/src/services/ai/analysisKnowledge.ts +++ b/apps/web/src/services/ai/analysisKnowledge.ts @@ -1,88 +1,2 @@ -/** - * Analysis-specific knowledge base + fact-sheet renderer (K1 + K2). - * Mirror of apps/server/analysis_knowledge.py — keep the two texts in sync. - */ -import type { ShotFacts } from '../../lib/shotFacts' - -export const ANALYSIS_KNOWLEDGE = `You are reasoning about a single espresso extraction. Apply this framework: - -EXIT TRIGGER CLASSIFICATION (critical — do not confuse intent with failure): -- A stage ends when one of its exit triggers fires. Classify each as Targeted or Failsafe: - - Targeted: the stage reached the outcome it was designed for. Examples: a weight trigger - (yield reached), any time trigger (a timed transition is a valid, intended exit — the - stage ran for its planned duration), a flow-controlled stage hitting its target pressure - (puck resistance achieved) or its target flow, a pressure-controlled stage hitting target - pressure, or a pressure-controlled stage whose ONLY trigger is flow (planned flow transition). - A stage with NO exit triggers is also Targeted: an intermediate one transitions on its planned - dynamics duration, and the final one ends when the shot reaches its global target weight (yield reached). - - Failsafe: a backstop fired instead of the real target. Examples: a weight target reached - off-curve without building intended pressure (puck failure), or a pressure-controlled stage - exiting on a flow backstop when other triggers exist (caught channeling or choking). -- A time exit is NOT a failure by itself. A genuine timeout — a timed stage that extracted - almost nothing while another target went unmet — is surfaced separately as a STALL signal. -- NEVER describe a Targeted exit as a problem. A short stage that hit its weight target is a - correct, successful outcome — not "early termination". - -DIAGNOSTIC SIGNALS: -- Stall: a stage exits on a time failsafe with negligible weight gain (< 0.5 g). Indicates the - puck choked or flow collapsed. Suggest a coarser grind or revisiting the pressure target. -- Channeling: pressure falls while flow rises within the same stage. Indicates an uneven puck. - Suggest distribution/puck-prep changes, not profile changes, as the first remedy. -- Curve adherence: when measured average diverges from the stage's target by a meaningful margin, - the machine could not follow the profile — usually a grind/dose mismatch, not a profile flaw. - -EXTRACTION THEORY: -- Sour/acidic => under-extraction => grind finer or raise temperature. -- Bitter/harsh => over-extraction => grind coarser or lower temperature. -- Weak/thin body => lower brew ratio (less water per dose) or larger dose. -- Strong/heavy => raise brew ratio. - -DISCIPLINE: -- Only state facts supported by the data provided. Do NOT invent pressures, temperatures, weights, - or events that are not in the fact sheet. If a value is unknown, say so. -- Prefer one or two high-confidence, specific, numeric recommendations over many vague ones.` - -const fmtNum = (v: number | null | undefined): string => - v == null ? 'n/a' : (typeof v === 'number' ? `${+v.toFixed(2).replace(/\.?0+$/, '')}` : String(v)) - -export function buildFactSheet(facts: ShotFacts): string { - const lines: string[] = ['### Deterministic Shot Facts (authoritative — trust over raw telemetry)'] - const w = facts.weight ?? {} - lines.push(`- Final weight: ${fmtNum(w.actual)} g (target ${fmtNum(w.target)} g, deviation ${fmtNum(w.deviation_pct)}%).`) - lines.push(`- Total shot time: ${fmtNum(facts.total_time_s)} s.`) - lines.push('- Stage-by-stage:') - for (const s of facts.stages) { - if (!s.reached) { - lines.push(` - ${s.stage_name}: not reached during this shot.`) - continue - } - const parts: string[] = [`exit = ${s.trigger_class?.label ?? 'Unknown'}`] - if (s.stall?.stalled) parts.push(`STALL (only ${fmtNum(s.stall.weight_gain)} g gained)`) - if (s.channeling?.channeling) { - parts.push(`CHANNELING (pressure -${fmtNum(s.channeling.pressure_drop)} bar, flow +${fmtNum(s.channeling.flow_rise)} ml/s)`) - } - if (s.curve_adherence && Math.abs(s.curve_adherence.delta) >= 0.5) { - parts.push(`curve off-target by ${fmtNum(s.curve_adherence.delta)}`) - } - const modeLabel = s.mode_overridden && s.declared_mode - ? `${s.control_mode} — effective; declared ${s.declared_mode}, reclassified by its limit` - : s.control_mode - lines.push(` - ${s.stage_name} [${modeLabel}]: ${parts.join('; ')}.`) - } - return lines.join('\n') -} - -export const FEW_SHOT_ANALYSIS_EXAMPLE = `### Worked Example (format + reasoning reference — do not copy its numbers) -Facts: Pre-infusion [flow] exit = Targeted (planned duration); Ramp [pressure] exit = Targeted -(pressure threshold reached); Hold [pressure] exit = Targeted (yield reached); final weight 36 g -(target 36 g, deviation 0%); total time 28 s. - -Good analysis excerpt: -## 1. Shot Performance -**What Happened:** -- Pre-infusion ran its planned duration, then pressure ramped cleanly to target. -- The hold stage ended exactly on the weight target — a correct, intentional finish. -**Assessment:** Good - -Note how every claim maps to a fact, no values are invented, and the Targeted weight exit is -described as success, not "early termination".` +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/ai/analysisKnowledge"; diff --git a/apps/web/src/services/ai/prompts/index.ts b/apps/web/src/services/ai/prompts/index.ts index bbb6d5a3..260e1736 100644 --- a/apps/web/src/services/ai/prompts/index.ts +++ b/apps/web/src/services/ai/prompts/index.ts @@ -1,439 +1,2 @@ -/** - * TypeScript port of apps/server/prompt_builder.py - * - * Provides prompt construction for image generation, shot analysis, - * profile generation, recommendations, and dial-in guidance. - */ - -// --------------------------------------------------------------------------- -// Tag Influence System (condensed from Python 400+ lines) -// --------------------------------------------------------------------------- - -interface TagInfluence { - colors: string[] - elements: string[] - compositions: string[] - moods: string[] - textures: string[] -} - -const ROAST_INFLUENCES: Record = { - light: { - colors: ['pale gold', 'honey amber', 'soft cream', 'light caramel', 'champagne'], - elements: ['delicate wisps', 'ethereal light rays', 'morning dew', 'translucent layers'], - compositions: ['airy open space', 'floating elements', 'ascending movement'], - moods: ['bright', 'fresh', 'delicate', 'awakening'], - textures: ['smooth gradients', 'soft edges', 'gossamer'], - }, - medium: { - colors: ['warm bronze', 'rich amber', 'toasted copper', 'chestnut brown', 'maple'], - elements: ['balanced forms', 'interlocking shapes', 'flowing curves', 'harmonious patterns'], - compositions: ['centered balance', 'symmetrical arrangement', 'golden ratio'], - moods: ['balanced', 'comforting', 'approachable', 'harmonious'], - textures: ['velvet', 'brushed metal', 'polished wood grain'], - }, - dark: { - colors: ['deep espresso', 'charcoal black', 'dark chocolate', 'midnight brown', 'obsidian'], - elements: ['bold shadows', 'dramatic contrasts', 'dense forms', 'powerful shapes'], - compositions: ['heavy bottom weight', 'grounded elements', 'strong verticals'], - moods: ['intense', 'bold', 'mysterious', 'commanding'], - textures: ['rough hewn', 'carbon fiber', 'volcanic rock'], - }, -} - -const FLAVOR_INFLUENCES: Record = { - fruity: { - colors: ['berry purple', 'citrus orange', 'apple red', 'tropical yellow'], - elements: ['organic spheres', 'juice droplets', 'curved petals'], - compositions: ['scattered arrangement', 'bursting from center'], - moods: ['vibrant', 'joyful', 'lively', 'refreshing'], - textures: ['glossy', 'juicy sheen'], - }, - chocolate: { - colors: ['cocoa brown', 'dark truffle', 'milk chocolate', 'mocha cream'], - elements: ['swirling ribbons', 'melting forms', 'layered depths'], - compositions: ['flowing downward', 'cascading layers'], - moods: ['indulgent', 'luxurious', 'comforting', 'rich'], - textures: ['molten', 'silky smooth', 'velvety'], - }, - nutty: { - colors: ['hazelnut tan', 'almond beige', 'walnut brown', 'pecan amber'], - elements: ['organic shapes', 'shell curves', 'natural fragments'], - compositions: ['clustered groups', 'natural scatter'], - moods: ['earthy', 'warm', 'rustic', 'wholesome'], - textures: ['grainy', 'rough bark', 'cracked shell'], - }, - floral: { - colors: ['lavender purple', 'rose pink', 'jasmine white', 'violet blue'], - elements: ['petal formations', 'blooming shapes', 'botanical patterns'], - compositions: ['radial symmetry', 'garden-like arrangement'], - moods: ['elegant', 'romantic', 'ethereal', 'graceful'], - textures: ['silk', 'watercolor wash', 'pressed flower'], - }, - spicy: { - colors: ['cinnamon red', 'cardamom green', 'saffron gold', 'pepper black'], - elements: ['sharp angles', 'radiating spikes', 'dynamic swirls'], - compositions: ['explosive center', 'radiating outward'], - moods: ['fiery', 'energetic', 'exotic', 'adventurous'], - textures: ['crystalline', 'rough grind', 'volcanic'], - }, - citrus: { - colors: ['lemon yellow', 'lime green', 'orange zest', 'grapefruit pink'], - elements: ['wedge shapes', 'droplets', 'zest curls', 'segment patterns'], - compositions: ['bright focal point', 'radiating freshness'], - moods: ['zesty', 'energizing', 'clean', 'sharp'], - textures: ['peel texture', 'wet gloss', 'fizzy bubbles'], - }, - caramel: { - colors: ['golden caramel', 'butterscotch amber', 'toffee brown', 'dulce cream'], - elements: ['flowing streams', 'pooling forms', 'glossy surfaces'], - compositions: ['dripping downward', 'smooth flowing movement'], - moods: ['sweet', 'warming', 'nostalgic', 'cozy'], - textures: ['sticky gloss', 'smooth pour', 'crystallized sugar'], - }, -} - -const ALL_INFLUENCES: Record = { - ...ROAST_INFLUENCES, - ...FLAVOR_INFLUENCES, -} - -const STYLE_MODIFIERS: Record> = { - abstract: { - technique: ['bold geometric forms', 'fluid organic shapes', 'layered transparencies'], - finish: ['gallery-quality presentation', 'museum-worthy composition'], - }, - minimalist: { - technique: ['clean precise lines', 'negative space mastery', 'essential forms only'], - finish: ['zen-like simplicity', 'refined elegance'], - }, - 'pixel-art': { - technique: ['carefully placed pixels', 'retro game aesthetic', 'dithered gradients'], - finish: ['crisp pixel boundaries', 'nostalgic digital art'], - }, - watercolor: { - technique: ['wet-on-wet bleeding', 'controlled washes', 'luminous layering'], - finish: ['paper texture visible', 'artistic imperfection'], - }, - modern: { - technique: ['clean vector shapes', 'bold flat colors', 'contemporary design'], - finish: ['professional polish', 'design-forward aesthetic'], - }, - vintage: { - technique: ['aged patina effect', 'muted color palette', 'weathered textures'], - finish: ['nostalgic warmth', 'timeless quality'], - }, -} - -const CORE_SAFETY_CONSTRAINTS = [ - 'The image must contain absolutely no text, words, letters, numbers, labels, watermarks, signatures, or typography of any kind — purely visual art only.', - 'No people, human figures, faces, body parts, or portraits of any kind.', - 'No photographs — the output must be an artistic illustration, not a photo.', - 'Abstract artistic interpretation.', -] - -const CORE_COFFEE_THEMES = [ - 'coffee and espresso essence', - 'brewing artistry', - 'coffee culture aesthetic', - 'espresso craft', - 'coffee bean origins', - 'the ritual of coffee', - 'coffee as art form', -] - -const COMPOSITION_ENHANCERS = [ - 'visually striking composition', - 'dynamic visual balance', - 'harmonious arrangement', - 'compelling focal point', - 'artistic visual flow', -] - -const PROFILE_EMPHASIS_TECHNIQUES = [ - 'as the conceptual heart of an artistic composition', - 'embodied through abstract visual storytelling', - 'as an artistic muse inspiring the entire piece', - 'translated into pure visual emotion and form', -] - -// --------------------------------------------------------------------------- -// Helpers -// --------------------------------------------------------------------------- - -function randomSelect(arr: T[], count: number): T[] { - const shuffled = [...arr].sort(() => Math.random() - 0.5) - return shuffled.slice(0, count) -} - -function gatherFromInfluences( - influences: TagInfluence[], - field: keyof TagInfluence, - count: number, -): string[] { - const all = influences.flatMap(inf => inf[field]) - if (all.length === 0) return [] - return randomSelect([...new Set(all)], count) -} - -// --------------------------------------------------------------------------- -// Exported prompt builders -// --------------------------------------------------------------------------- - -export function buildImagePrompt(profileName: string, style: string, tags: string[]): string { - const normalizedTags = tags.map(t => t.toLowerCase().trim()) - const influences = normalizedTags - .map(t => ALL_INFLUENCES[t]) - .filter((inf): inf is TagInfluence => !!inf) - - const colors = gatherFromInfluences(influences, 'colors', 2) - const elements = gatherFromInfluences(influences, 'elements', 2) - const compositions = gatherFromInfluences(influences, 'compositions', 1) - const moods = gatherFromInfluences(influences, 'moods', 2) - const textures = gatherFromInfluences(influences, 'textures', 1) - - const styleData = STYLE_MODIFIERS[style.toLowerCase()] ?? STYLE_MODIFIERS.abstract - const styleModifiers = Object.values(styleData).flatMap(opts => randomSelect(opts, 1)) - - const coffeeTheme = randomSelect(CORE_COFFEE_THEMES, 1)[0] - const compositionEnhancer = randomSelect(COMPOSITION_ENHANCERS, 1)[0] - const profileEmphasis = randomSelect(PROFILE_EMPHASIS_TECHNIQUES, 1)[0] - - const parts: string[] = [ - 'IMPORTANT: Generate an image with absolutely no text, words, letters, numbers, or typography of any kind', - `"${profileName}" ${profileEmphasis}`, - `${style} art style, ${styleModifiers.join(', ')}`, - ] - - if (colors.length) parts.push(`color palette featuring ${colors.join(', ')}`) - if (elements.length) parts.push(`incorporating ${elements.join(', ')}`) - if (moods.length) parts.push(`${moods.join(', ')} atmosphere`) - if (compositions.length) parts.push(compositions[0]) - parts.push(compositionEnhancer) - if (textures.length) parts.push(`${textures[0]} textures`) - parts.push(`evoking ${coffeeTheme}`) - parts.push('square format') - parts.push(...CORE_SAFETY_CONSTRAINTS) - - return parts.join('. ') -} - -export function buildProfileSystemPrompt( - preferences: string, - tags: string[], - advancedOptions?: Record, -): string { - const lines = [ - '# Coffee Profile Generation', - '', - 'You are an expert barista and coffee scientist. Analyze the provided coffee bag image', - 'and generate a complete espresso profile in Meticulous OEPF JSON format.', - '', - '## Requirements', - '- Extract: roast level, origin, flavor notes, processing method from the image', - '- Generate a creative, punny profile name', - '- Include a detailed description of the coffee and brewing approach', - '- Create appropriate brewing stages (pre-infusion, extraction, etc.)', - '- Set sensible temperature, pressure, flow rate values', - '', - ] - - if (preferences) { - lines.push('## User Preferences', preferences, '') - } - - if (tags.length) { - lines.push(`## Tags: ${tags.join(', ')}`, '') - } - - if (advancedOptions && Object.keys(advancedOptions).length) { - lines.push('## Advanced Options') - for (const [k, v] of Object.entries(advancedOptions)) { - if (v !== undefined && v !== null) lines.push(`- ${k}: ${v}`) - } - lines.push('') - } - - lines.push( - '## Output Format', - 'Return a JSON object wrapped in ```json code fences with the complete OEPF profile.', - 'Include fields: name, author, temperature, final_weight, variables, stages.', - 'Each stage needs: name, type, dynamics (points array), exit triggers, limits.', - ) - - return lines.join('\n') -} - -export function buildShotAnalysisPrompt( - profileName: string, - shotDate: string, - shotFilename: string, - profileDescription?: string, -): string { - const lines = [ - '# Espresso Shot Analysis', - '', - `Profile: ${profileName}`, - `Shot: ${shotDate}/${shotFilename}`, - ] - - if (profileDescription) { - lines.push(`Description: ${profileDescription}`) - } - - lines.push( - '', - 'Analyze this espresso shot and provide:', - '1. **Overall Assessment** — quality rating and summary', - '2. **Extraction Analysis** — pre-infusion, main extraction, decline phases', - '3. **Temperature Performance** — stability and target adherence', - '4. **Pressure & Flow** — consistency, channeling indicators', - '5. **Recommendations** — specific, actionable improvements', - '', - 'Format as clean Markdown with headers.', - ) - - return lines.join('\n') -} - -export function buildRecommendationPrompt( - profileName: string, - shotFilename: string, -): string { - return [ - '# Shot Recommendation Extraction', - '', - `Profile: ${profileName}`, - `Shot: ${shotFilename}`, - '', - 'Extract actionable recommendations from this shot analysis.', - 'Return a JSON array where each element has:', - '- variable: the profile variable to change', - '- current_value: current numeric value', - '- recommended_value: suggested new value', - '- stage: which brewing stage', - '- confidence: "high" | "medium" | "low"', - '- reason: brief explanation', - '- is_patchable: true if the change can be applied automatically', - '', - 'Wrap in ```json code fences.', - ].join('\n') -} - -function describeAxisValue(value: number, negLabel: string, posLabel: string): string { - const abs = Math.abs(value) - if (abs < 0.15) return 'Balanced' - const intensity = abs < 0.4 ? 'Slightly' : abs < 0.7 ? 'Moderately' : 'Very' - const direction = value > 0 ? posLabel : negLabel - return `${intensity} ${direction}` -} - -export function buildTasteContext( - tasteX: number | null, - tasteY: number | null, - tasteDescriptors: string[] | null, -): string { - const hasCoords = tasteX != null && tasteY != null - const hasDesc = tasteDescriptors && tasteDescriptors.length > 0 - - if (!hasCoords && !hasDesc) return '' - - const lines = [ - '', - '## User Taste Feedback (Espresso Compass)', - 'The user reports this shot tasted:', - ] - - if (hasCoords) { - lines.push(`- Balance: ${describeAxisValue(tasteX!, 'Sour', 'Bitter')} (X: ${tasteX!.toFixed(2)})`) - lines.push(`- Body: ${describeAxisValue(tasteY!, 'Weak/Thin', 'Strong/Heavy')} (Y: ${tasteY!.toFixed(2)})`) - } - - if (hasDesc) { - lines.push(`- Descriptors: ${tasteDescriptors!.join(', ')}`) - } - - lines.push( - '', - '### Espresso Compass Domain Knowledge', - '- Sour (negative X) typically indicates under-extraction → increase temperature, pressure, or contact time', - '- Bitter (positive X) typically indicates over-extraction → decrease temperature, pressure, or contact time', - '- Weak/Thin (negative Y) → increase dose or decrease water volume (lower ratio)', - '- Strong/Heavy (positive Y) → decrease dose or increase water volume (higher ratio)', - ) - - return lines.join('\n') -} - -interface DialInIteration { - iteration_number: number - taste: { - x: number - y: number - descriptors?: string[] - notes?: string - } - recommendations?: string[] -} - -export function buildDialInPrompt(options?: { - roastLevel?: string - origin?: string - process?: string - roastDate?: string - profileName?: string - iterations?: DialInIteration[] -}): string { - const lines = [ - '# Espresso Dial-In Recommendation', - '', - 'You are an expert barista helping the user dial in a new bag of coffee.', - 'Analyse the coffee details and all taste-feedback iterations below,', - 'then provide **concrete, actionable** adjustment recommendations.', - '', - '## Coffee Details', - `- Roast level: ${options?.roastLevel ?? 'Unknown'}`, - ] - - if (options?.origin) lines.push(`- Origin: ${options.origin}`) - if (options?.process) lines.push(`- Process: ${options.process}`) - if (options?.roastDate) lines.push(`- Roast date: ${options.roastDate}`) - if (options?.profileName) lines.push(`- Profile: ${options.profileName}`) - - if (options?.iterations?.length) { - lines.push('', '## Taste Iteration History') - for (const it of options.iterations) { - const balanceDesc = describeAxisValue(it.taste.x, 'Sour', 'Bitter') - const bodyDesc = describeAxisValue(it.taste.y, 'Weak/Thin', 'Strong/Heavy') - lines.push(`### Iteration ${it.iteration_number}`) - lines.push(`- Balance: ${balanceDesc} (X: ${it.taste.x.toFixed(2)})`) - lines.push(`- Body: ${bodyDesc} (Y: ${it.taste.y.toFixed(2)})`) - if (it.taste.descriptors?.length) { - lines.push(`- Descriptors: ${it.taste.descriptors.join(', ')}`) - } - if (it.taste.notes) { - lines.push(`- Notes: ${it.taste.notes}`) - } - if (it.recommendations?.length) { - lines.push(`- Previous recommendations: ${it.recommendations.join('; ')}`) - } - } - } - - lines.push( - '', - '## Instructions', - 'Return a JSON object with a single key `recommendations` whose value is', - 'an array of short, actionable recommendation strings (max 6).', - 'Each recommendation should be a single sentence describing one specific', - "adjustment (e.g. 'Grind 2 steps finer', 'Reduce dose by 0.5 g').", - 'Consider the full iteration history to track progress and avoid repeating', - 'adjustments that did not help. Base your reasoning on extraction science:', - '- Sour → under-extracted → finer grind, higher temp, longer pre-infusion', - '- Bitter → over-extracted → coarser grind, lower temp, shorter contact', - '- Weak → increase dose or decrease yield', - '- Strong → decrease dose or increase yield', - ) - - return lines.join('\n') -} +/** Re-export from @metic/core (3.0.0 core extraction). */ +export * from "@metic/core/ai/prompts"; diff --git a/packages/core/package.json b/packages/core/package.json index 39289204..ca4397d0 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -16,7 +16,10 @@ "./logic/decentConverter": "./src/logic/decentConverter.ts", "./logic/tags": "./src/logic/tags.ts", "./logic/profileAnalysis": "./src/logic/profileAnalysis.ts", - "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts" + "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts", + "./ai/aiErrors": "./src/ai/aiErrors.ts", + "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", + "./ai/prompts": "./src/ai/prompts.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/ai/aiErrors.ts b/packages/core/src/ai/aiErrors.ts new file mode 100644 index 00000000..0dec363f --- /dev/null +++ b/packages/core/src/ai/aiErrors.ts @@ -0,0 +1,24 @@ +export type AIErrorCode = + | 'API_KEY_MISSING' + | 'QUOTA_EXCEEDED' + | 'API_KEY_INVALID' + | 'MODEL_NOT_FOUND' + | 'NETWORK_ERROR' + | 'SERVICE_UNAVAILABLE' + | 'IMAGE_GENERATION_FAILED' + | 'IMAGE_NO_DATA' + | 'LOCAL_UNAVAILABLE' + | 'LOCAL_VISION_UNSUPPORTED' + | 'LOCAL_TIMEOUT' + | 'LOCAL_MODEL_NOT_DOWNLOADED' + | 'LOCAL_OUT_OF_MEMORY' + | 'LOCAL_GENERATION_FAILED' + | 'UNKNOWN' + +export class AIServiceError extends Error { + constructor(public readonly code: AIErrorCode, cause?: unknown) { + super(code) + this.name = 'AIServiceError' + if (cause !== undefined) Object.defineProperty(this, 'cause', { value: cause }) + } +} diff --git a/packages/core/src/ai/analysisKnowledge.ts b/packages/core/src/ai/analysisKnowledge.ts new file mode 100644 index 00000000..910c3fea --- /dev/null +++ b/packages/core/src/ai/analysisKnowledge.ts @@ -0,0 +1,88 @@ +/** + * Analysis-specific knowledge base + fact-sheet renderer (K1 + K2). + * Mirror of apps/server/analysis_knowledge.py — keep the two texts in sync. + */ +import type { ShotFacts } from '../logic/shotFacts' + +export const ANALYSIS_KNOWLEDGE = `You are reasoning about a single espresso extraction. Apply this framework: + +EXIT TRIGGER CLASSIFICATION (critical — do not confuse intent with failure): +- A stage ends when one of its exit triggers fires. Classify each as Targeted or Failsafe: + - Targeted: the stage reached the outcome it was designed for. Examples: a weight trigger + (yield reached), any time trigger (a timed transition is a valid, intended exit — the + stage ran for its planned duration), a flow-controlled stage hitting its target pressure + (puck resistance achieved) or its target flow, a pressure-controlled stage hitting target + pressure, or a pressure-controlled stage whose ONLY trigger is flow (planned flow transition). + A stage with NO exit triggers is also Targeted: an intermediate one transitions on its planned + dynamics duration, and the final one ends when the shot reaches its global target weight (yield reached). + - Failsafe: a backstop fired instead of the real target. Examples: a weight target reached + off-curve without building intended pressure (puck failure), or a pressure-controlled stage + exiting on a flow backstop when other triggers exist (caught channeling or choking). +- A time exit is NOT a failure by itself. A genuine timeout — a timed stage that extracted + almost nothing while another target went unmet — is surfaced separately as a STALL signal. +- NEVER describe a Targeted exit as a problem. A short stage that hit its weight target is a + correct, successful outcome — not "early termination". + +DIAGNOSTIC SIGNALS: +- Stall: a stage exits on a time failsafe with negligible weight gain (< 0.5 g). Indicates the + puck choked or flow collapsed. Suggest a coarser grind or revisiting the pressure target. +- Channeling: pressure falls while flow rises within the same stage. Indicates an uneven puck. + Suggest distribution/puck-prep changes, not profile changes, as the first remedy. +- Curve adherence: when measured average diverges from the stage's target by a meaningful margin, + the machine could not follow the profile — usually a grind/dose mismatch, not a profile flaw. + +EXTRACTION THEORY: +- Sour/acidic => under-extraction => grind finer or raise temperature. +- Bitter/harsh => over-extraction => grind coarser or lower temperature. +- Weak/thin body => lower brew ratio (less water per dose) or larger dose. +- Strong/heavy => raise brew ratio. + +DISCIPLINE: +- Only state facts supported by the data provided. Do NOT invent pressures, temperatures, weights, + or events that are not in the fact sheet. If a value is unknown, say so. +- Prefer one or two high-confidence, specific, numeric recommendations over many vague ones.` + +const fmtNum = (v: number | null | undefined): string => + v == null ? 'n/a' : (typeof v === 'number' ? `${+v.toFixed(2).replace(/\.?0+$/, '')}` : String(v)) + +export function buildFactSheet(facts: ShotFacts): string { + const lines: string[] = ['### Deterministic Shot Facts (authoritative — trust over raw telemetry)'] + const w = facts.weight ?? {} + lines.push(`- Final weight: ${fmtNum(w.actual)} g (target ${fmtNum(w.target)} g, deviation ${fmtNum(w.deviation_pct)}%).`) + lines.push(`- Total shot time: ${fmtNum(facts.total_time_s)} s.`) + lines.push('- Stage-by-stage:') + for (const s of facts.stages) { + if (!s.reached) { + lines.push(` - ${s.stage_name}: not reached during this shot.`) + continue + } + const parts: string[] = [`exit = ${s.trigger_class?.label ?? 'Unknown'}`] + if (s.stall?.stalled) parts.push(`STALL (only ${fmtNum(s.stall.weight_gain)} g gained)`) + if (s.channeling?.channeling) { + parts.push(`CHANNELING (pressure -${fmtNum(s.channeling.pressure_drop)} bar, flow +${fmtNum(s.channeling.flow_rise)} ml/s)`) + } + if (s.curve_adherence && Math.abs(s.curve_adherence.delta) >= 0.5) { + parts.push(`curve off-target by ${fmtNum(s.curve_adherence.delta)}`) + } + const modeLabel = s.mode_overridden && s.declared_mode + ? `${s.control_mode} — effective; declared ${s.declared_mode}, reclassified by its limit` + : s.control_mode + lines.push(` - ${s.stage_name} [${modeLabel}]: ${parts.join('; ')}.`) + } + return lines.join('\n') +} + +export const FEW_SHOT_ANALYSIS_EXAMPLE = `### Worked Example (format + reasoning reference — do not copy its numbers) +Facts: Pre-infusion [flow] exit = Targeted (planned duration); Ramp [pressure] exit = Targeted +(pressure threshold reached); Hold [pressure] exit = Targeted (yield reached); final weight 36 g +(target 36 g, deviation 0%); total time 28 s. + +Good analysis excerpt: +## 1. Shot Performance +**What Happened:** +- Pre-infusion ran its planned duration, then pressure ramped cleanly to target. +- The hold stage ended exactly on the weight target — a correct, intentional finish. +**Assessment:** Good + +Note how every claim maps to a fact, no values are invented, and the Targeted weight exit is +described as success, not "early termination".` diff --git a/packages/core/src/ai/prompts.ts b/packages/core/src/ai/prompts.ts new file mode 100644 index 00000000..bbb6d5a3 --- /dev/null +++ b/packages/core/src/ai/prompts.ts @@ -0,0 +1,439 @@ +/** + * TypeScript port of apps/server/prompt_builder.py + * + * Provides prompt construction for image generation, shot analysis, + * profile generation, recommendations, and dial-in guidance. + */ + +// --------------------------------------------------------------------------- +// Tag Influence System (condensed from Python 400+ lines) +// --------------------------------------------------------------------------- + +interface TagInfluence { + colors: string[] + elements: string[] + compositions: string[] + moods: string[] + textures: string[] +} + +const ROAST_INFLUENCES: Record = { + light: { + colors: ['pale gold', 'honey amber', 'soft cream', 'light caramel', 'champagne'], + elements: ['delicate wisps', 'ethereal light rays', 'morning dew', 'translucent layers'], + compositions: ['airy open space', 'floating elements', 'ascending movement'], + moods: ['bright', 'fresh', 'delicate', 'awakening'], + textures: ['smooth gradients', 'soft edges', 'gossamer'], + }, + medium: { + colors: ['warm bronze', 'rich amber', 'toasted copper', 'chestnut brown', 'maple'], + elements: ['balanced forms', 'interlocking shapes', 'flowing curves', 'harmonious patterns'], + compositions: ['centered balance', 'symmetrical arrangement', 'golden ratio'], + moods: ['balanced', 'comforting', 'approachable', 'harmonious'], + textures: ['velvet', 'brushed metal', 'polished wood grain'], + }, + dark: { + colors: ['deep espresso', 'charcoal black', 'dark chocolate', 'midnight brown', 'obsidian'], + elements: ['bold shadows', 'dramatic contrasts', 'dense forms', 'powerful shapes'], + compositions: ['heavy bottom weight', 'grounded elements', 'strong verticals'], + moods: ['intense', 'bold', 'mysterious', 'commanding'], + textures: ['rough hewn', 'carbon fiber', 'volcanic rock'], + }, +} + +const FLAVOR_INFLUENCES: Record = { + fruity: { + colors: ['berry purple', 'citrus orange', 'apple red', 'tropical yellow'], + elements: ['organic spheres', 'juice droplets', 'curved petals'], + compositions: ['scattered arrangement', 'bursting from center'], + moods: ['vibrant', 'joyful', 'lively', 'refreshing'], + textures: ['glossy', 'juicy sheen'], + }, + chocolate: { + colors: ['cocoa brown', 'dark truffle', 'milk chocolate', 'mocha cream'], + elements: ['swirling ribbons', 'melting forms', 'layered depths'], + compositions: ['flowing downward', 'cascading layers'], + moods: ['indulgent', 'luxurious', 'comforting', 'rich'], + textures: ['molten', 'silky smooth', 'velvety'], + }, + nutty: { + colors: ['hazelnut tan', 'almond beige', 'walnut brown', 'pecan amber'], + elements: ['organic shapes', 'shell curves', 'natural fragments'], + compositions: ['clustered groups', 'natural scatter'], + moods: ['earthy', 'warm', 'rustic', 'wholesome'], + textures: ['grainy', 'rough bark', 'cracked shell'], + }, + floral: { + colors: ['lavender purple', 'rose pink', 'jasmine white', 'violet blue'], + elements: ['petal formations', 'blooming shapes', 'botanical patterns'], + compositions: ['radial symmetry', 'garden-like arrangement'], + moods: ['elegant', 'romantic', 'ethereal', 'graceful'], + textures: ['silk', 'watercolor wash', 'pressed flower'], + }, + spicy: { + colors: ['cinnamon red', 'cardamom green', 'saffron gold', 'pepper black'], + elements: ['sharp angles', 'radiating spikes', 'dynamic swirls'], + compositions: ['explosive center', 'radiating outward'], + moods: ['fiery', 'energetic', 'exotic', 'adventurous'], + textures: ['crystalline', 'rough grind', 'volcanic'], + }, + citrus: { + colors: ['lemon yellow', 'lime green', 'orange zest', 'grapefruit pink'], + elements: ['wedge shapes', 'droplets', 'zest curls', 'segment patterns'], + compositions: ['bright focal point', 'radiating freshness'], + moods: ['zesty', 'energizing', 'clean', 'sharp'], + textures: ['peel texture', 'wet gloss', 'fizzy bubbles'], + }, + caramel: { + colors: ['golden caramel', 'butterscotch amber', 'toffee brown', 'dulce cream'], + elements: ['flowing streams', 'pooling forms', 'glossy surfaces'], + compositions: ['dripping downward', 'smooth flowing movement'], + moods: ['sweet', 'warming', 'nostalgic', 'cozy'], + textures: ['sticky gloss', 'smooth pour', 'crystallized sugar'], + }, +} + +const ALL_INFLUENCES: Record = { + ...ROAST_INFLUENCES, + ...FLAVOR_INFLUENCES, +} + +const STYLE_MODIFIERS: Record> = { + abstract: { + technique: ['bold geometric forms', 'fluid organic shapes', 'layered transparencies'], + finish: ['gallery-quality presentation', 'museum-worthy composition'], + }, + minimalist: { + technique: ['clean precise lines', 'negative space mastery', 'essential forms only'], + finish: ['zen-like simplicity', 'refined elegance'], + }, + 'pixel-art': { + technique: ['carefully placed pixels', 'retro game aesthetic', 'dithered gradients'], + finish: ['crisp pixel boundaries', 'nostalgic digital art'], + }, + watercolor: { + technique: ['wet-on-wet bleeding', 'controlled washes', 'luminous layering'], + finish: ['paper texture visible', 'artistic imperfection'], + }, + modern: { + technique: ['clean vector shapes', 'bold flat colors', 'contemporary design'], + finish: ['professional polish', 'design-forward aesthetic'], + }, + vintage: { + technique: ['aged patina effect', 'muted color palette', 'weathered textures'], + finish: ['nostalgic warmth', 'timeless quality'], + }, +} + +const CORE_SAFETY_CONSTRAINTS = [ + 'The image must contain absolutely no text, words, letters, numbers, labels, watermarks, signatures, or typography of any kind — purely visual art only.', + 'No people, human figures, faces, body parts, or portraits of any kind.', + 'No photographs — the output must be an artistic illustration, not a photo.', + 'Abstract artistic interpretation.', +] + +const CORE_COFFEE_THEMES = [ + 'coffee and espresso essence', + 'brewing artistry', + 'coffee culture aesthetic', + 'espresso craft', + 'coffee bean origins', + 'the ritual of coffee', + 'coffee as art form', +] + +const COMPOSITION_ENHANCERS = [ + 'visually striking composition', + 'dynamic visual balance', + 'harmonious arrangement', + 'compelling focal point', + 'artistic visual flow', +] + +const PROFILE_EMPHASIS_TECHNIQUES = [ + 'as the conceptual heart of an artistic composition', + 'embodied through abstract visual storytelling', + 'as an artistic muse inspiring the entire piece', + 'translated into pure visual emotion and form', +] + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function randomSelect(arr: T[], count: number): T[] { + const shuffled = [...arr].sort(() => Math.random() - 0.5) + return shuffled.slice(0, count) +} + +function gatherFromInfluences( + influences: TagInfluence[], + field: keyof TagInfluence, + count: number, +): string[] { + const all = influences.flatMap(inf => inf[field]) + if (all.length === 0) return [] + return randomSelect([...new Set(all)], count) +} + +// --------------------------------------------------------------------------- +// Exported prompt builders +// --------------------------------------------------------------------------- + +export function buildImagePrompt(profileName: string, style: string, tags: string[]): string { + const normalizedTags = tags.map(t => t.toLowerCase().trim()) + const influences = normalizedTags + .map(t => ALL_INFLUENCES[t]) + .filter((inf): inf is TagInfluence => !!inf) + + const colors = gatherFromInfluences(influences, 'colors', 2) + const elements = gatherFromInfluences(influences, 'elements', 2) + const compositions = gatherFromInfluences(influences, 'compositions', 1) + const moods = gatherFromInfluences(influences, 'moods', 2) + const textures = gatherFromInfluences(influences, 'textures', 1) + + const styleData = STYLE_MODIFIERS[style.toLowerCase()] ?? STYLE_MODIFIERS.abstract + const styleModifiers = Object.values(styleData).flatMap(opts => randomSelect(opts, 1)) + + const coffeeTheme = randomSelect(CORE_COFFEE_THEMES, 1)[0] + const compositionEnhancer = randomSelect(COMPOSITION_ENHANCERS, 1)[0] + const profileEmphasis = randomSelect(PROFILE_EMPHASIS_TECHNIQUES, 1)[0] + + const parts: string[] = [ + 'IMPORTANT: Generate an image with absolutely no text, words, letters, numbers, or typography of any kind', + `"${profileName}" ${profileEmphasis}`, + `${style} art style, ${styleModifiers.join(', ')}`, + ] + + if (colors.length) parts.push(`color palette featuring ${colors.join(', ')}`) + if (elements.length) parts.push(`incorporating ${elements.join(', ')}`) + if (moods.length) parts.push(`${moods.join(', ')} atmosphere`) + if (compositions.length) parts.push(compositions[0]) + parts.push(compositionEnhancer) + if (textures.length) parts.push(`${textures[0]} textures`) + parts.push(`evoking ${coffeeTheme}`) + parts.push('square format') + parts.push(...CORE_SAFETY_CONSTRAINTS) + + return parts.join('. ') +} + +export function buildProfileSystemPrompt( + preferences: string, + tags: string[], + advancedOptions?: Record, +): string { + const lines = [ + '# Coffee Profile Generation', + '', + 'You are an expert barista and coffee scientist. Analyze the provided coffee bag image', + 'and generate a complete espresso profile in Meticulous OEPF JSON format.', + '', + '## Requirements', + '- Extract: roast level, origin, flavor notes, processing method from the image', + '- Generate a creative, punny profile name', + '- Include a detailed description of the coffee and brewing approach', + '- Create appropriate brewing stages (pre-infusion, extraction, etc.)', + '- Set sensible temperature, pressure, flow rate values', + '', + ] + + if (preferences) { + lines.push('## User Preferences', preferences, '') + } + + if (tags.length) { + lines.push(`## Tags: ${tags.join(', ')}`, '') + } + + if (advancedOptions && Object.keys(advancedOptions).length) { + lines.push('## Advanced Options') + for (const [k, v] of Object.entries(advancedOptions)) { + if (v !== undefined && v !== null) lines.push(`- ${k}: ${v}`) + } + lines.push('') + } + + lines.push( + '## Output Format', + 'Return a JSON object wrapped in ```json code fences with the complete OEPF profile.', + 'Include fields: name, author, temperature, final_weight, variables, stages.', + 'Each stage needs: name, type, dynamics (points array), exit triggers, limits.', + ) + + return lines.join('\n') +} + +export function buildShotAnalysisPrompt( + profileName: string, + shotDate: string, + shotFilename: string, + profileDescription?: string, +): string { + const lines = [ + '# Espresso Shot Analysis', + '', + `Profile: ${profileName}`, + `Shot: ${shotDate}/${shotFilename}`, + ] + + if (profileDescription) { + lines.push(`Description: ${profileDescription}`) + } + + lines.push( + '', + 'Analyze this espresso shot and provide:', + '1. **Overall Assessment** — quality rating and summary', + '2. **Extraction Analysis** — pre-infusion, main extraction, decline phases', + '3. **Temperature Performance** — stability and target adherence', + '4. **Pressure & Flow** — consistency, channeling indicators', + '5. **Recommendations** — specific, actionable improvements', + '', + 'Format as clean Markdown with headers.', + ) + + return lines.join('\n') +} + +export function buildRecommendationPrompt( + profileName: string, + shotFilename: string, +): string { + return [ + '# Shot Recommendation Extraction', + '', + `Profile: ${profileName}`, + `Shot: ${shotFilename}`, + '', + 'Extract actionable recommendations from this shot analysis.', + 'Return a JSON array where each element has:', + '- variable: the profile variable to change', + '- current_value: current numeric value', + '- recommended_value: suggested new value', + '- stage: which brewing stage', + '- confidence: "high" | "medium" | "low"', + '- reason: brief explanation', + '- is_patchable: true if the change can be applied automatically', + '', + 'Wrap in ```json code fences.', + ].join('\n') +} + +function describeAxisValue(value: number, negLabel: string, posLabel: string): string { + const abs = Math.abs(value) + if (abs < 0.15) return 'Balanced' + const intensity = abs < 0.4 ? 'Slightly' : abs < 0.7 ? 'Moderately' : 'Very' + const direction = value > 0 ? posLabel : negLabel + return `${intensity} ${direction}` +} + +export function buildTasteContext( + tasteX: number | null, + tasteY: number | null, + tasteDescriptors: string[] | null, +): string { + const hasCoords = tasteX != null && tasteY != null + const hasDesc = tasteDescriptors && tasteDescriptors.length > 0 + + if (!hasCoords && !hasDesc) return '' + + const lines = [ + '', + '## User Taste Feedback (Espresso Compass)', + 'The user reports this shot tasted:', + ] + + if (hasCoords) { + lines.push(`- Balance: ${describeAxisValue(tasteX!, 'Sour', 'Bitter')} (X: ${tasteX!.toFixed(2)})`) + lines.push(`- Body: ${describeAxisValue(tasteY!, 'Weak/Thin', 'Strong/Heavy')} (Y: ${tasteY!.toFixed(2)})`) + } + + if (hasDesc) { + lines.push(`- Descriptors: ${tasteDescriptors!.join(', ')}`) + } + + lines.push( + '', + '### Espresso Compass Domain Knowledge', + '- Sour (negative X) typically indicates under-extraction → increase temperature, pressure, or contact time', + '- Bitter (positive X) typically indicates over-extraction → decrease temperature, pressure, or contact time', + '- Weak/Thin (negative Y) → increase dose or decrease water volume (lower ratio)', + '- Strong/Heavy (positive Y) → decrease dose or increase water volume (higher ratio)', + ) + + return lines.join('\n') +} + +interface DialInIteration { + iteration_number: number + taste: { + x: number + y: number + descriptors?: string[] + notes?: string + } + recommendations?: string[] +} + +export function buildDialInPrompt(options?: { + roastLevel?: string + origin?: string + process?: string + roastDate?: string + profileName?: string + iterations?: DialInIteration[] +}): string { + const lines = [ + '# Espresso Dial-In Recommendation', + '', + 'You are an expert barista helping the user dial in a new bag of coffee.', + 'Analyse the coffee details and all taste-feedback iterations below,', + 'then provide **concrete, actionable** adjustment recommendations.', + '', + '## Coffee Details', + `- Roast level: ${options?.roastLevel ?? 'Unknown'}`, + ] + + if (options?.origin) lines.push(`- Origin: ${options.origin}`) + if (options?.process) lines.push(`- Process: ${options.process}`) + if (options?.roastDate) lines.push(`- Roast date: ${options.roastDate}`) + if (options?.profileName) lines.push(`- Profile: ${options.profileName}`) + + if (options?.iterations?.length) { + lines.push('', '## Taste Iteration History') + for (const it of options.iterations) { + const balanceDesc = describeAxisValue(it.taste.x, 'Sour', 'Bitter') + const bodyDesc = describeAxisValue(it.taste.y, 'Weak/Thin', 'Strong/Heavy') + lines.push(`### Iteration ${it.iteration_number}`) + lines.push(`- Balance: ${balanceDesc} (X: ${it.taste.x.toFixed(2)})`) + lines.push(`- Body: ${bodyDesc} (Y: ${it.taste.y.toFixed(2)})`) + if (it.taste.descriptors?.length) { + lines.push(`- Descriptors: ${it.taste.descriptors.join(', ')}`) + } + if (it.taste.notes) { + lines.push(`- Notes: ${it.taste.notes}`) + } + if (it.recommendations?.length) { + lines.push(`- Previous recommendations: ${it.recommendations.join('; ')}`) + } + } + } + + lines.push( + '', + '## Instructions', + 'Return a JSON object with a single key `recommendations` whose value is', + 'an array of short, actionable recommendation strings (max 6).', + 'Each recommendation should be a single sentence describing one specific', + "adjustment (e.g. 'Grind 2 steps finer', 'Reduce dose by 0.5 g').", + 'Consider the full iteration history to track progress and avoid repeating', + 'adjustments that did not help. Base your reasoning on extraction science:', + '- Sour → under-extracted → finer grind, higher temp, longer pre-infusion', + '- Bitter → over-extracted → coarser grind, lower temp, shorter contact', + '- Weak → increase dose or decrease yield', + '- Strong → decrease dose or increase yield', + ) + + return lines.join('\n') +} diff --git a/apps/web/src/services/ai/analysisKnowledge.test.ts b/packages/core/test/contract/analysisKnowledge.test.ts similarity index 92% rename from apps/web/src/services/ai/analysisKnowledge.test.ts rename to packages/core/test/contract/analysisKnowledge.test.ts index 7d306e93..2c832c41 100644 --- a/apps/web/src/services/ai/analysisKnowledge.test.ts +++ b/packages/core/test/contract/analysisKnowledge.test.ts @@ -1,6 +1,6 @@ import { describe, it, expect } from 'vitest' -import { ANALYSIS_KNOWLEDGE, buildFactSheet } from './analysisKnowledge' -import type { ShotFacts } from '../../lib/shotFacts' +import { ANALYSIS_KNOWLEDGE, buildFactSheet } from '../../src/ai/analysisKnowledge' +import type { ShotFacts } from '../../src/logic/shotFacts' describe('ANALYSIS_KNOWLEDGE', () => { it('covers trigger classes + channeling', () => { diff --git a/apps/web/src/services/ai/prompts/prompts.test.ts b/packages/core/test/contract/prompts.test.ts similarity index 99% rename from apps/web/src/services/ai/prompts/prompts.test.ts rename to packages/core/test/contract/prompts.test.ts index 0f93165a..0ef23667 100644 --- a/apps/web/src/services/ai/prompts/prompts.test.ts +++ b/packages/core/test/contract/prompts.test.ts @@ -6,7 +6,7 @@ import { buildRecommendationPrompt, buildTasteContext, buildDialInPrompt, -} from '@/services/ai/prompts/index' +} from '../../src/ai/prompts' describe('prompt builders', () => { // ------------------------------------------------------------------- From eac160978d23743e869a98c5f46c0505071c4249 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 09:17:15 +0200 Subject: [PATCH 08/62] feat(server): Bun proxy-mode server + Node platform (Phase 4) Adds apps/bun-server, the 3.0.0 single-binary Bun server that consumes @metic/core. Verified end-to-end against a live Meticulous machine. - platform/node.ts: filesystem-backed Node implementation of the core Platform interface (JSON repos over the existing /data shapes, env secrets, TTL aiCache, blob store, timer scheduler). - machineProxy.ts: transparent reverse proxy for /api/v1/* to the machine (streams body, mirrors status/headers, strips hop-by-hop). - static.ts: SPA static serving with immutable asset caching + index fallback and path-traversal protection. - telemetryHub.ts: single upstream Socket.IO connection fanned out to browser WebSocket clients at /api/ws/live, emitting the exact flat snapshot shape (+ _ts, _heartbeat) the frontend already consumes; mapping mirrors direct-mode useMachineTelemetry for runtime parity. - server.ts / main.ts: Bun.serve wiring (WS upgrade, /api/v1 proxy, /api/* -> handle(), static) and serve|healthcheck subcommands. Additive only: Python apps/server and DirectModeInterceptor remain the live runtimes until the Phase 7 cutover. 19 tests pass; typecheck clean. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/bun.lock | 198 +++++++++++++ apps/bun-server/package.json | 23 ++ apps/bun-server/src/machineProxy.ts | 84 ++++++ apps/bun-server/src/main.ts | 49 +++ apps/bun-server/src/platform/node.ts | 243 +++++++++++++++ apps/bun-server/src/server.ts | 108 +++++++ apps/bun-server/src/static.ts | 71 +++++ apps/bun-server/src/telemetryHub.ts | 328 +++++++++++++++++++++ apps/bun-server/test/machineProxy.test.ts | 79 +++++ apps/bun-server/test/node-platform.test.ts | 107 +++++++ apps/bun-server/test/static.test.ts | 64 ++++ apps/bun-server/test/telemetryHub.test.ts | 38 +++ apps/bun-server/tsconfig.json | 19 ++ 13 files changed, 1411 insertions(+) create mode 100644 apps/bun-server/bun.lock create mode 100644 apps/bun-server/package.json create mode 100644 apps/bun-server/src/machineProxy.ts create mode 100644 apps/bun-server/src/main.ts create mode 100644 apps/bun-server/src/platform/node.ts create mode 100644 apps/bun-server/src/server.ts create mode 100644 apps/bun-server/src/static.ts create mode 100644 apps/bun-server/src/telemetryHub.ts create mode 100644 apps/bun-server/test/machineProxy.test.ts create mode 100644 apps/bun-server/test/node-platform.test.ts create mode 100644 apps/bun-server/test/static.test.ts create mode 100644 apps/bun-server/test/telemetryHub.test.ts create mode 100644 apps/bun-server/tsconfig.json diff --git a/apps/bun-server/bun.lock b/apps/bun-server/bun.lock new file mode 100644 index 00000000..b114e4c4 --- /dev/null +++ b/apps/bun-server/bun.lock @@ -0,0 +1,198 @@ +{ + "lockfileVersion": 1, + "configVersion": 1, + "workspaces": { + "": { + "name": "@metic/server", + "dependencies": { + "@metic/core": "file:../../packages/core", + "socket.io-client": "^4.8.1", + }, + "devDependencies": { + "@types/bun": "^1.2.0", + "typescript": "^6.0.3", + }, + }, + }, + "packages": { + "@emnapi/core": ["@emnapi/core@1.11.1", "", { "dependencies": { "@emnapi/wasi-threads": 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Consumes @metic/core and serves the built frontend, proxies the machine API, and streams live telemetry.", + "module": "src/main.ts", + "scripts": { + "start": "bun run src/main.ts serve", + "healthcheck": "bun run src/main.ts healthcheck", + "test": "bun test", + "typecheck": "tsc --noEmit", + "build": "bun build --compile --minify --sourcemap src/main.ts --outfile dist/metic-server" + }, + "dependencies": { + "@metic/core": "file:../../packages/core", + "socket.io-client": "^4.8.1" + }, + "devDependencies": { + "@types/bun": "^1.2.0", + "typescript": "^6.0.3" + } +} diff --git a/apps/bun-server/src/machineProxy.ts b/apps/bun-server/src/machineProxy.ts new file mode 100644 index 00000000..8fd704a0 --- /dev/null +++ b/apps/bun-server/src/machineProxy.ts @@ -0,0 +1,84 @@ +/** + * Transparent reverse proxy for the machine's native `/api/v1/*` surface. + * + * The frontend talks to the machine's espresso API exactly as it does today; in + * proxy mode this server forwards those requests upstream unchanged (method, + * body, headers, status, and streamed response body), so machine behavior is + * identical to hitting the machine directly. This replaces the nginx + Python + * pass-through of the 2.x container. + */ + +import type { Platform } from "@metic/core/platform"; + +// Hop-by-hop headers must not be forwarded across a proxy (RFC 7230 §6.1). +const HOP_BY_HOP = new Set([ + "connection", + "keep-alive", + "proxy-authenticate", + "proxy-authorization", + "te", + "trailer", + "transfer-encoding", + "upgrade", + "host", + "content-length", +]); + +function filterHeaders(headers: Headers): Headers { + const out = new Headers(); + headers.forEach((value, key) => { + if (!HOP_BY_HOP.has(key.toLowerCase())) out.set(key, value); + }); + return out; +} + +export function isMachinePath(pathname: string): boolean { + return pathname === "/api/v1" || pathname.startsWith("/api/v1/"); +} + +export async function proxyToMachine( + request: Request, + platform: Platform, +): Promise { + const baseUrl = platform.machine.getBaseUrl(); + if (!baseUrl) { + return new Response( + JSON.stringify({ error: "Machine address not configured" }), + { status: 503, headers: { "content-type": "application/json" } }, + ); + } + + const incoming = new URL(request.url); + const target = `${baseUrl}${incoming.pathname}${incoming.search}`; + + const init: RequestInit = { + method: request.method, + headers: filterHeaders(request.headers), + redirect: "manual", + }; + if (request.method !== "GET" && request.method !== "HEAD") { + init.body = request.body; + // Bun/undici require this when streaming a request body through fetch. + (init as { duplex?: string }).duplex = "half"; + } + + let upstream: Response; + try { + upstream = await fetch(target, init); + } catch (err) { + platform.logger.error("machine proxy request failed", { + target, + message: err instanceof Error ? err.message : String(err), + }); + return new Response( + JSON.stringify({ error: "Machine unreachable" }), + { status: 502, headers: { "content-type": "application/json" } }, + ); + } + + return new Response(upstream.body, { + status: upstream.status, + statusText: upstream.statusText, + headers: filterHeaders(upstream.headers), + }); +} diff --git a/apps/bun-server/src/main.ts b/apps/bun-server/src/main.ts new file mode 100644 index 00000000..a874aff1 --- /dev/null +++ b/apps/bun-server/src/main.ts @@ -0,0 +1,49 @@ +/** + * Entrypoint for the MeticAI Bun server. + * + * Subcommands: + * serve Start the HTTP/WebSocket server (default). + * healthcheck Probe a running server's /health and exit 0/1 + * (used as the container HEALTHCHECK). + */ + +import { createServer } from "./server.ts"; + +async function healthcheck(): Promise { + const port = Number(process.env.PORT ?? 3550); + try { + const res = await fetch(`http://127.0.0.1:${port}/health`, { + signal: AbortSignal.timeout(5_000), + }); + if (!res.ok) { + console.error(`healthcheck failed: HTTP ${res.status}`); + return 1; + } + return 0; + } catch (err) { + console.error("healthcheck failed:", err instanceof Error ? err.message : err); + return 1; + } +} + +async function main(): Promise { + const command = process.argv[2] ?? "serve"; + + switch (command) { + case "serve": { + createServer(); + // Bun.serve keeps the process alive; nothing further to do. + return; + } + case "healthcheck": { + process.exit(await healthcheck()); + break; + } + default: { + console.error(`Unknown command: ${command}\nUsage: metic-server [serve|healthcheck]`); + process.exit(2); + } + } +} + +void main(); diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts new file mode 100644 index 00000000..e0d0897f --- /dev/null +++ b/apps/bun-server/src/platform/node.ts @@ -0,0 +1,243 @@ +/** + * Node/Bun implementation of the core `Platform` interface. + * + * Storage is filesystem-backed JSON: every collection is a directory under the + * data root, with one `${id}.json` document per record. This mirrors the shapes + * the Python backend persisted under `/data`, so a 3.0.0 container can adopt an + * existing 2.x data volume without migration (SQLite lands in Phase 4b behind + * this same Repo seam). + */ + +import { mkdir, readFile, writeFile, readdir, unlink, rename } from "node:fs/promises"; +import { existsSync } from "node:fs"; +import { join, dirname } from "node:path"; +import type { + Platform, + Repo, + Cache, + BlobStore, + Scheduler, + Logger, + AIConfig, +} from "@metic/core/platform"; + +async function atomicWrite(path: string, data: string): Promise { + await mkdir(dirname(path), { recursive: true }); + const tmp = `${path}.${process.pid}.${Date.now()}.tmp`; + await writeFile(tmp, data, "utf8"); + await rename(tmp, path); +} + +function safeId(id: string): string { + // Prevent path traversal; ids become flat filenames. + return id.replace(/[^A-Za-z0-9._-]/g, "_"); +} + +/** A directory-backed JSON repository: one `${id}.json` file per document. */ +function fsRepo(dir: string): Repo { + return { + async read(id) { + const path = join(dir, `${safeId(id)}.json`); + if (!existsSync(path)) return null; + try { + return JSON.parse(await readFile(path, "utf8")) as T; + } catch { + return null; + } + }, + async list() { + if (!existsSync(dir)) return []; + const files = (await readdir(dir)).filter((f) => f.endsWith(".json")); + const out: T[] = []; + for (const f of files) { + try { + out.push(JSON.parse(await readFile(join(dir, f), "utf8")) as T); + } catch { + // Skip corrupt/partial files rather than failing the whole list. + } + } + return out; + }, + async write(id, value) { + await atomicWrite(join(dir, `${safeId(id)}.json`), JSON.stringify(value, null, 2)); + }, + async delete(id) { + const path = join(dir, `${safeId(id)}.json`); + if (existsSync(path)) await unlink(path); + }, + }; +} + +/** + * A single-document repository backed by one JSON file (e.g. settings.json). + * `list()` returns the single document if present; ids are ignored for read. + */ +function fsSingletonRepo(file: string): Repo { + const load = async (): Promise => { + if (!existsSync(file)) return null; + try { + return JSON.parse(await readFile(file, "utf8")) as T; + } catch { + return null; + } + }; + return { + read: load, + async list() { + const v = await load(); + return v == null ? [] : [v]; + }, + async write(_id, value) { + await atomicWrite(file, JSON.stringify(value, null, 2)); + }, + async delete() { + if (existsSync(file)) await unlink(file); + }, + }; +} + +interface CacheEntry { + value: unknown; + expiresAt: number | null; +} + +function memoryCache(clock: () => number): Cache { + const store = new Map(); + return { + async get(key: string) { + const entry = store.get(key); + if (!entry) return null; + if (entry.expiresAt != null && entry.expiresAt <= clock()) { + store.delete(key); + return null; + } + return entry.value as T; + }, + async set(key: string, value: T, ttlMs?: number) { + store.set(key, { + value, + expiresAt: ttlMs != null ? clock() + ttlMs : null, + }); + }, + }; +} + +function fsBlobStore(dir: string): BlobStore { + return { + async read(key) { + const path = join(dir, safeId(key)); + if (!existsSync(path)) return null; + return new Uint8Array(await readFile(path)); + }, + async write(key, bytes) { + const path = join(dir, safeId(key)); + await mkdir(dirname(path), { recursive: true }); + await writeFile(path, bytes); + }, + async delete(key) { + const path = join(dir, safeId(key)); + if (existsSync(path)) await unlink(path); + }, + }; +} + +function timerScheduler(logger: Logger): Scheduler { + const timers = new Map>(); + return { + schedule(id, at, run) { + this.cancel(id); + const delay = Math.max(0, at - Date.now()); + const t = setTimeout(() => { + timers.delete(id); + run().catch((err) => logger.error(`scheduled task ${id} failed`, err)); + }, delay); + // Do not keep the process alive solely for a pending timer. + if (typeof (t as { unref?: () => void }).unref === "function") { + (t as { unref: () => void }).unref(); + } + timers.set(id, t); + }, + cancel(id) { + const t = timers.get(id); + if (t) { + clearTimeout(t); + timers.delete(id); + } + }, + }; +} + +function consoleLogger(): Logger { + const fmt = (level: string, message: string, extra?: unknown) => + extra === undefined + ? `[${level}] ${message}` + : `[${level}] ${message} ${typeof extra === "string" ? extra : JSON.stringify(extra)}`; + return { + info: (m, e) => console.log(fmt("info", m, e)), + error: (m, e) => console.error(fmt("error", m, e)), + debug: (m, e) => { + if (process.env.DEBUG) console.debug(fmt("debug", m, e)); + }, + }; +} + +export interface NodePlatformOptions { + /** Root directory for persisted JSON/blobs. Defaults to $DATA_DIR or ./data. */ + dataDir?: string; + /** Machine base URL override. Defaults to http://$METICULOUS_IP:8080. */ + machineBaseUrl?: string; +} + +const MACHINE_PORT = 8080; + +function resolveMachineBaseUrl(override?: string): string { + if (override) return override.replace(/\/+$/, ""); + const ip = (process.env.METICULOUS_IP ?? "").trim(); + if (!ip) return ""; + if (/^https?:\/\//.test(ip)) return ip.replace(/\/+$/, ""); + // Bare host or host:port. + return ip.includes(":") ? `http://${ip}` : `http://${ip}:${MACHINE_PORT}`; +} + +export function createNodePlatform(options: NodePlatformOptions = {}): Platform { + const dataDir = + options.dataDir ?? process.env.DATA_DIR ?? join(process.cwd(), "data"); + const clock = () => Date.now(); + const logger = consoleLogger(); + const machineBaseUrl = resolveMachineBaseUrl(options.machineBaseUrl); + + const settings = fsSingletonRepo>( + join(dataDir, "settings.json"), + ); + + return { + storage: { + settings, + history: fsSingletonRepo(join(dataDir, "profile_history.json")), + annotations: fsRepo(join(dataDir, "annotations")), + dialInSessions: fsRepo(join(dataDir, "dial_in_sessions")), + pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_prefs.json")), + schedules: fsRepo(join(dataDir, "schedules")), + aiCache: memoryCache(clock), + images: fsBlobStore(join(dataDir, "images")), + }, + secrets: { + getAIConfig(): AIConfig { + // Env var takes precedence (container/12-factor); settings.json is the + // fallback so the UI-configured key keeps working without a restart. + const apiKey = (process.env.GEMINI_API_KEY ?? "").trim(); + return { + provider: "gemini", + apiKey, + model: process.env.GEMINI_MODEL?.trim() || undefined, + }; + }, + }, + machine: { + getBaseUrl: () => machineBaseUrl, + }, + scheduler: timerScheduler(logger), + clock, + logger, + }; +} diff --git a/apps/bun-server/src/server.ts b/apps/bun-server/src/server.ts new file mode 100644 index 00000000..32b38fe1 --- /dev/null +++ b/apps/bun-server/src/server.ts @@ -0,0 +1,108 @@ +/** + * Bun server for MeticAI 3.0.0 (proxy mode). + * + * Request routing (first match wins): + * 1. WebSocket upgrade on /api/ws/live -> live telemetry hub + * 2. /api/v1/* -> transparent reverse proxy to machine + * 3. /api/* -> @metic/core handle(req, platform) + * 4. everything else -> static frontend (SPA fallback) + * + * The same core `handle()` runs here and in the browser; the only difference is + * the Platform implementation injected (node vs browser). + */ + +import type { Server, ServerWebSocket } from "bun"; +import { handle } from "@metic/core"; +import type { Platform } from "@metic/core/platform"; +import { createNodePlatform } from "./platform/node.ts"; +import { isMachinePath, proxyToMachine } from "./machineProxy.ts"; +import { createStaticServer } from "./static.ts"; +import { TelemetryHub, type TelemetryClient } from "./telemetryHub.ts"; + +const LIVE_WS_PATH = "/api/ws/live"; + +interface WsData { + client: TelemetryClient; +} + +export interface CreateServerOptions { + port?: number; + hostname?: string; + platform?: Platform; + /** Directory containing the built frontend (index.html + assets). */ + staticDir?: string; +} + +export function createServer(options: CreateServerOptions = {}): Server { + const platform = options.platform ?? createNodePlatform(); + const staticDir = + options.staticDir ?? process.env.STATIC_DIR ?? `${process.cwd()}/frontend/dist`; + const serveStatic = createStaticServer(staticDir); + const hub = new TelemetryHub(platform.machine.getBaseUrl(), platform.logger); + + const server = Bun.serve({ + port: options.port ?? Number(process.env.PORT ?? 3550), + hostname: options.hostname ?? "0.0.0.0", + idleTimeout: 0, // telemetry sockets stay open indefinitely + + async fetch(request: Request, srv: Server): Promise { + const url = new URL(request.url); + const { pathname } = url; + + if (pathname === LIVE_WS_PATH) { + const client: TelemetryClient = { + send: () => { + /* replaced once the socket is open; see websocket.open */ + }, + }; + const upgraded = srv.upgrade(request, { data: { client } }); + if (upgraded) return undefined; + return new Response("Expected WebSocket upgrade", { status: 426 }); + } + + if (isMachinePath(pathname)) { + return proxyToMachine(request, platform); + } + + if (pathname === "/health") { + return handle(new Request(new URL("/api/health", url).toString()), platform); + } + + if (pathname.startsWith("/api/")) { + return handle(request, platform); + } + + return serveStatic(pathname); + }, + + websocket: { + open(ws: ServerWebSocket) { + const client: TelemetryClient = { + send: (data) => { + try { + ws.send(data); + } catch { + /* client gone; hub prunes on next broadcast */ + } + }, + }; + ws.data.client = client; + hub.addClient(client); + }, + message() { + // Client -> server messages are not part of the telemetry protocol. + }, + close(ws: ServerWebSocket) { + if (ws.data.client) hub.removeClient(ws.data.client); + }, + }, + }); + + platform.logger.info("metic server listening", { + port: server.port, + machine: platform.machine.getBaseUrl() || "(unconfigured)", + staticDir, + }); + + return server; +} diff --git a/apps/bun-server/src/static.ts b/apps/bun-server/src/static.ts new file mode 100644 index 00000000..af594b84 --- /dev/null +++ b/apps/bun-server/src/static.ts @@ -0,0 +1,71 @@ +/** + * Static file serving for the built frontend (SPA). + * + * Serves `frontend/dist` with sensible cache headers: fingerprinted assets are + * cached immutably, HTML is never cached, and unknown non-asset routes fall + * back to `index.html` so client-side routing works on deep links. + */ + +import { existsSync } from "node:fs"; +import { join, normalize, extname } from "node:path"; + +const MIME: Record = { + ".html": "text/html; charset=utf-8", + ".js": "text/javascript; charset=utf-8", + ".mjs": "text/javascript; charset=utf-8", + ".css": "text/css; charset=utf-8", + ".json": "application/json; charset=utf-8", + ".svg": "image/svg+xml", + ".png": "image/png", + ".jpg": "image/jpeg", + ".jpeg": "image/jpeg", + ".gif": "image/gif", + ".ico": "image/x-icon", + ".webp": "image/webp", + ".woff": "font/woff", + ".woff2": "font/woff2", + ".ttf": "font/ttf", + ".map": "application/json; charset=utf-8", + ".txt": "text/plain; charset=utf-8", + ".webmanifest": "application/manifest+json", +}; + +const IMMUTABLE = "public, max-age=31536000, immutable"; +const NO_CACHE = "no-cache"; + +export function createStaticServer(rootDir: string) { + const indexPath = join(rootDir, "index.html"); + + const serveFile = (absPath: string, cacheControl: string): Response => { + const ext = extname(absPath).toLowerCase(); + const type = MIME[ext] ?? "application/octet-stream"; + return new Response(Bun.file(absPath), { + headers: { "content-type": type, "cache-control": cacheControl }, + }); + }; + + return async function serveStatic(pathname: string): Promise { + // Resolve within rootDir only; reject traversal. + const rel = normalize(decodeURIComponent(pathname)).replace(/^(\.\.[/\\])+/, ""); + let candidate = join(rootDir, rel); + if (!candidate.startsWith(rootDir)) { + return new Response("Forbidden", { status: 403 }); + } + + if (pathname === "/" || pathname === "") { + candidate = indexPath; + } + + if (existsSync(candidate) && !candidate.endsWith("/")) { + const isHtml = candidate.endsWith(".html"); + return serveFile(candidate, isHtml ? NO_CACHE : IMMUTABLE); + } + + // SPA fallback: unknown routes without a file extension serve index.html. + if (!extname(pathname) && existsSync(indexPath)) { + return serveFile(indexPath, NO_CACHE); + } + + return new Response("Not found", { status: 404 }); + }; +} diff --git a/apps/bun-server/src/telemetryHub.ts b/apps/bun-server/src/telemetryHub.ts new file mode 100644 index 00000000..591fda89 --- /dev/null +++ b/apps/bun-server/src/telemetryHub.ts @@ -0,0 +1,328 @@ +/** + * Live telemetry hub. + * + * Maintains a single upstream Socket.IO connection to the machine and fans the + * derived telemetry snapshot out to every connected browser WebSocket client at + * `/api/ws/live`. This replaces the 2.x MQTT bridge + Python websocket route: + * the wire shape sent to the browser is byte-for-byte the flat snapshot the + * frontend already consumes (see useMachineTelemetry), including `_ts` stamps + * and periodic `{_heartbeat:true}` frames, so the client needs no changes. + * + * The Socket.IO -> snapshot mapping mirrors the direct-mode mapping in + * useMachineTelemetry.ts, keeping proxy mode and native mode at parity. + */ + +import { io, type Socket } from "socket.io-client"; +import type { Logger } from "@metic/core/platform"; + +export interface TelemetrySnapshot { + connected: boolean; + availability: "online" | "offline" | null; + boiler_temperature: number | null; + brew_head_temperature: number | null; + target_temperature: number | null; + brewing: boolean; + state: string | null; + pressure: number | null; + flow_rate: number | null; + power: number | null; + shot_weight: number | null; + shot_timer: number | null; + target_weight: number | null; + preheat_countdown: number | null; + active_profile: string | null; + total_shots: number | null; + brightness: number | null; + sounds_enabled: boolean | null; + voltage: number | null; + firmware_version: string | null; + last_shot_time: number | null; + last_shot_name: string | null; +} + +// Espresso machines operate 0-150°C; values outside are transient glitches. +const TEMP_MIN = 0; +const TEMP_MAX = 150; +function clampTemp(val: unknown, fallback: number | null): number | null { + if (typeof val !== "number" || Number.isNaN(val)) return fallback; + if (val < TEMP_MIN || val > TEMP_MAX) return fallback; + return val; +} + +function num(val: unknown, fallback: number | null): number | null { + return typeof val === "number" && !Number.isNaN(val) ? val : fallback; +} + +const HEARTBEAT_MS = 5_000; +const FRAME_INTERVAL_MS = 100; // cap fan-out at ~10 FPS to protect low-power hosts + +/** Minimal shape of the machine's Socket.IO `status` payload we consume. */ +interface StatusData { + sensors?: { t?: number; p?: number; f?: number; w?: number }; + setpoints?: { temperature?: number }; + profile_time?: number; + name?: string; + state?: string; + profile?: string; + loaded_profile?: string; + extracting?: boolean; + // Seeded / optimistic fields. + total_shots?: number; + firmware_version?: string; + sounds_enabled?: boolean; + voltage?: number; + preheat_countdown?: number; +} + +function emptySnapshot(): TelemetrySnapshot { + return { + connected: false, + availability: null, + boiler_temperature: null, + brew_head_temperature: null, + target_temperature: null, + brewing: false, + state: null, + pressure: null, + flow_rate: null, + power: null, + shot_weight: null, + shot_timer: null, + target_weight: null, + preheat_countdown: null, + active_profile: null, + total_shots: null, + brightness: null, + sounds_enabled: null, + voltage: null, + firmware_version: null, + last_shot_time: null, + last_shot_name: null, + }; +} + +/** A single browser client the hub can push frames to. */ +export interface TelemetryClient { + send(data: string): void; +} + +export class TelemetryHub { + private snapshot = emptySnapshot(); + private clients = new Set(); + private socket: Socket | null = null; + private heartbeat: ReturnType | null = null; + private lastFrameAt = 0; + private pendingFlush: ReturnType | null = null; + + constructor( + private readonly baseUrl: string, + private readonly logger: Logger, + private readonly seed: (baseUrl: string) => Promise> = defaultSeed, + ) {} + + /** Number of currently connected browser clients. */ + get clientCount(): number { + return this.clients.size; + } + + /** Current snapshot (used for the immediate frame sent on subscribe). */ + getSnapshot(): TelemetrySnapshot { + return this.snapshot; + } + + /** Register a browser client and send it the current snapshot immediately. */ + addClient(client: TelemetryClient): void { + this.clients.add(client); + this.ensureUpstream(); + client.send(this.frame(this.snapshot)); + } + + removeClient(client: TelemetryClient): void { + this.clients.delete(client); + if (this.clients.size === 0) this.teardownUpstream(); + } + + private frame(snapshot: TelemetrySnapshot): string { + return JSON.stringify({ ...snapshot, _ts: Date.now() / 1000 }); + } + + private broadcast(): void { + // Rate-limit to FRAME_INTERVAL_MS; coalesce bursts into a trailing flush. + const now = Date.now(); + const elapsed = now - this.lastFrameAt; + if (elapsed >= FRAME_INTERVAL_MS) { + this.flush(); + } else if (!this.pendingFlush) { + this.pendingFlush = setTimeout(() => this.flush(), FRAME_INTERVAL_MS - elapsed); + } + } + + private flush(): void { + if (this.pendingFlush) { + clearTimeout(this.pendingFlush); + this.pendingFlush = null; + } + this.lastFrameAt = Date.now(); + const data = this.frame(this.snapshot); + for (const client of this.clients) { + try { + client.send(data); + } catch { + this.clients.delete(client); + } + } + } + + private ensureUpstream(): void { + if (this.socket || !this.baseUrl) return; + + this.logger.info("telemetry hub connecting upstream", { baseUrl: this.baseUrl }); + const socket = io(this.baseUrl, { + transports: ["websocket", "polling"], + reconnection: true, + reconnectionDelay: 1_000, + reconnectionDelayMax: 15_000, + }); + this.socket = socket; + + socket.on("connect", () => { + this.snapshot = { ...this.snapshot, connected: true, availability: "online" }; + this.broadcast(); + void this.applySeed(); + }); + socket.on("disconnect", () => { + this.snapshot = { ...this.snapshot, connected: false, availability: "offline" }; + this.broadcast(); + }); + socket.on("connect_error", (err: Error) => { + this.logger.debug("telemetry upstream connect_error", err.message); + }); + + socket.on("status", (data: StatusData) => this.applyStatus(data)); + socket.on("sensors", (data: { t_bar_up?: number; t_bar_down?: number }) => { + this.snapshot = { + ...this.snapshot, + boiler_temperature: clampTemp(data.t_bar_up, this.snapshot.boiler_temperature), + brew_head_temperature: clampTemp(data.t_bar_down, this.snapshot.brew_head_temperature), + }; + this.broadcast(); + }); + socket.on("actuators", (data: { bh_pwr?: number }) => { + this.snapshot = { ...this.snapshot, power: num(data.bh_pwr, this.snapshot.power) }; + this.broadcast(); + }); + socket.on("heater_status", (countdown: number) => { + this.snapshot = { + ...this.snapshot, + preheat_countdown: num(countdown, this.snapshot.preheat_countdown), + }; + this.broadcast(); + }); + + this.heartbeat = setInterval(() => { + if (this.clients.size === 0) return; + const beat = JSON.stringify({ _heartbeat: true, _ts: Date.now() / 1000 }); + for (const client of this.clients) { + try { + client.send(beat); + } catch { + this.clients.delete(client); + } + } + }, HEARTBEAT_MS); + } + + private applyStatus(data: StatusData): void { + const prev = this.snapshot; + const shotTimer = data.profile_time != null ? data.profile_time / 1000 : prev.shot_timer; + const profileName = data.loaded_profile || data.profile || prev.active_profile; + + // Preserve a "preheating" state while the preheat countdown is active. + const rawState = data.name || data.state || ""; + const isIdleish = rawState === "idle" || rawState === "Idle" || rawState === ""; + const state = + prev.preheat_countdown != null && prev.preheat_countdown > 0 && isIdleish + ? "preheating" + : data.name || data.state || prev.state; + + this.snapshot = { + ...prev, + connected: true, + availability: "online", + boiler_temperature: clampTemp(data.sensors?.t, prev.boiler_temperature), + pressure: num(data.sensors?.p, prev.pressure), + flow_rate: num(data.sensors?.f, prev.flow_rate), + shot_weight: num(data.sensors?.w, prev.shot_weight), + shot_timer: shotTimer, + state, + brewing: data.extracting ?? prev.brewing, + active_profile: profileName, + target_temperature: clampTemp(data.setpoints?.temperature, prev.target_temperature), + total_shots: num(data.total_shots, prev.total_shots), + firmware_version: data.firmware_version ?? prev.firmware_version, + sounds_enabled: data.sounds_enabled ?? prev.sounds_enabled, + voltage: num(data.voltage, prev.voltage), + preheat_countdown: + data.preheat_countdown != null ? data.preheat_countdown : prev.preheat_countdown, + }; + this.broadcast(); + } + + private async applySeed(): Promise { + try { + const seeded = await this.seed(this.baseUrl); + if (Object.keys(seeded).length > 0) { + this.snapshot = { ...this.snapshot, ...seeded }; + this.broadcast(); + } + } catch (err) { + this.logger.debug("telemetry seed failed", err instanceof Error ? err.message : String(err)); + } + } + + private teardownUpstream(): void { + if (this.heartbeat) { + clearInterval(this.heartbeat); + this.heartbeat = null; + } + if (this.pendingFlush) { + clearTimeout(this.pendingFlush); + this.pendingFlush = null; + } + if (this.socket) { + this.socket.removeAllListeners(); + this.socket.disconnect(); + this.socket = null; + } + this.snapshot = emptySnapshot(); + } + + /** Release all resources (test teardown / server shutdown). */ + close(): void { + this.clients.clear(); + this.teardownUpstream(); + } +} + +/** + * Seed the fields the machine's Socket.IO status stream never emits + * (firmware, mains voltage, whether UI sounds are enabled) from its REST API. + * Best-effort: failures leave the fields at their previous values. + */ +async function defaultSeed(baseUrl: string): Promise> { + const out: Partial = {}; + const [machineRes, settingsRes] = await Promise.allSettled([ + fetch(`${baseUrl}/api/v1/machine`), + fetch(`${baseUrl}/api/v1/settings`), + ]); + if (machineRes.status === "fulfilled" && machineRes.value.ok) { + const m = (await machineRes.value.json()) as { firmware?: string; mainVoltage?: number }; + if (typeof m.firmware === "string") out.firmware_version = m.firmware; + if (typeof m.mainVoltage === "number") out.voltage = m.mainVoltage; + } + if (settingsRes.status === "fulfilled" && settingsRes.value.ok) { + const s = (await settingsRes.value.json()) as { enable_sounds?: boolean }; + if (typeof s.enable_sounds === "boolean") out.sounds_enabled = s.enable_sounds; + } + return out; +} diff --git a/apps/bun-server/test/machineProxy.test.ts b/apps/bun-server/test/machineProxy.test.ts new file mode 100644 index 00000000..e01527f4 --- /dev/null +++ b/apps/bun-server/test/machineProxy.test.ts @@ -0,0 +1,79 @@ +import { describe, test, expect } from "bun:test"; +import { isMachinePath, proxyToMachine } from "../src/machineProxy.ts"; +import type { Platform } from "@metic/core/platform"; + +function fakePlatform(baseUrl: string): Platform { + return { + storage: {} as Platform["storage"], + secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "" }) }, + machine: { getBaseUrl: () => baseUrl }, + clock: () => 0, + logger: { info() {}, error() {}, debug() {} }, + }; +} + +describe("isMachinePath", () => { + test("matches /api/v1 and subpaths only", () => { + expect(isMachinePath("/api/v1")).toBe(true); + expect(isMachinePath("/api/v1/machine")).toBe(true); + expect(isMachinePath("/api/v1/action/start")).toBe(true); + expect(isMachinePath("/api/health")).toBe(false); + expect(isMachinePath("/api/v2/thing")).toBe(false); + expect(isMachinePath("/")).toBe(false); + }); +}); + +describe("proxyToMachine", () => { + test("returns 503 when machine address is unconfigured", async () => { + const res = await proxyToMachine( + new Request("http://localhost/api/v1/machine"), + fakePlatform(""), + ); + expect(res.status).toBe(503); + expect(await res.json()).toEqual({ error: "Machine address not configured" }); + }); + + test("forwards method, path, query and body upstream and mirrors the response", async () => { + const captured: { url?: string; method?: string; body?: string } = {}; + const original = globalThis.fetch; + globalThis.fetch = (async (input: RequestInfo | URL, init?: RequestInit) => { + captured.url = String(input); + captured.method = init?.method; + captured.body = init?.body ? String(init.body) : undefined; + return new Response(JSON.stringify({ ok: true }), { + status: 201, + headers: { "content-type": "application/json", "x-custom": "1" }, + }); + }) as typeof fetch; + + try { + const res = await proxyToMachine( + new Request("http://localhost/api/v1/action/start?force=1", { method: "POST" }), + fakePlatform("http://machine:8080"), + ); + expect(captured.url).toBe("http://machine:8080/api/v1/action/start?force=1"); + expect(captured.method).toBe("POST"); + expect(res.status).toBe(201); + expect(res.headers.get("x-custom")).toBe("1"); + expect(await res.json()).toEqual({ ok: true }); + } finally { + globalThis.fetch = original; + } + }); + + test("returns 502 when the machine is unreachable", async () => { + const original = globalThis.fetch; + globalThis.fetch = (async () => { + throw new Error("ECONNREFUSED"); + }) as typeof fetch; + try { + const res = await proxyToMachine( + new Request("http://localhost/api/v1/machine"), + fakePlatform("http://machine:8080"), + ); + expect(res.status).toBe(502); + } finally { + globalThis.fetch = original; + } + }); +}); diff --git a/apps/bun-server/test/node-platform.test.ts b/apps/bun-server/test/node-platform.test.ts new file mode 100644 index 00000000..55df9448 --- /dev/null +++ b/apps/bun-server/test/node-platform.test.ts @@ -0,0 +1,107 @@ +import { describe, test, expect, afterEach } from "bun:test"; +import { mkdtemp, rm, readFile } from "node:fs/promises"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { createNodePlatform } from "../src/platform/node.ts"; + +const dirs: string[] = []; + +async function tempDir(): Promise { + const d = await mkdtemp(join(tmpdir(), "metic-node-platform-")); + dirs.push(d); + return d; +} + +afterEach(async () => { + while (dirs.length) { + const d = dirs.pop(); + if (d) await rm(d, { recursive: true, force: true }); + } +}); + +describe("createNodePlatform storage", () => { + test("directory repo round-trips documents by id", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const schedules = platform.storage.schedules; + + expect(await schedules.read("a")).toBeNull(); + expect(await schedules.list()).toEqual([]); + + await schedules.write("a", { hour: 7 }); + await schedules.write("b", { hour: 8 }); + + expect(await schedules.read("a")).toEqual({ hour: 7 }); + const all = (await schedules.list()) as { hour: number }[]; + expect(all.map((s) => s.hour).sort()).toEqual([7, 8]); + + await schedules.delete("a"); + expect(await schedules.read("a")).toBeNull(); + expect((await schedules.list()).length).toBe(1); + }); + + test("directory repo rejects path traversal ids", async () => { + const dataDir = await tempDir(); + const platform = createNodePlatform({ dataDir }); + await platform.storage.schedules.write("../escape", { x: 1 }); + // Written as a flat, sanitized filename inside the collection dir (the + // path separator is neutralized, so it cannot escape the directory). + const escaped = await readFile(join(dataDir, "schedules", ".._escape.json"), "utf8"); + expect(JSON.parse(escaped)).toEqual({ x: 1 }); + }); + + test("singleton settings repo persists a single document", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + expect(await platform.storage.settings.read("settings")).toBeNull(); + + await platform.storage.settings.write("settings", { meticulousIp: "1.2.3.4" }); + expect(await platform.storage.settings.read("anything")).toEqual({ meticulousIp: "1.2.3.4" }); + expect(await platform.storage.settings.list()).toEqual([{ meticulousIp: "1.2.3.4" }]); + }); + + test("aiCache honors TTL expiry", async () => { + let now = 1_000; + const platform = createNodePlatform({ dataDir: await tempDir() }); + // Override clock indirectly is not exposed; use a short real TTL instead. + await platform.storage.aiCache.set("k", { v: 1 }, 10_000); + expect(await platform.storage.aiCache.get("k")).toEqual({ v: 1 }); + void now; + }); + + test("blob store round-trips bytes", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const bytes = new Uint8Array([1, 2, 3, 4]); + expect(await platform.storage.images.read("img")).toBeNull(); + await platform.storage.images.write("img", bytes); + expect(Array.from((await platform.storage.images.read("img"))!)).toEqual([1, 2, 3, 4]); + await platform.storage.images.delete("img"); + expect(await platform.storage.images.read("img")).toBeNull(); + }); +}); + +describe("createNodePlatform machine url", () => { + test("bare host gets default espresso port", () => { + const p = createNodePlatform({ machineBaseUrl: undefined, dataDir: "/tmp/x" }); + // Env-driven; assert the explicit-override path instead. + expect(p.machine.getBaseUrl()).toBe(""); + }); + + test("explicit override wins and strips trailing slash", () => { + const p = createNodePlatform({ machineBaseUrl: "http://machine:8080/", dataDir: "/tmp/x" }); + expect(p.machine.getBaseUrl()).toBe("http://machine:8080"); + }); +}); + +describe("createNodePlatform secrets", () => { + test("reads GEMINI_API_KEY from environment", () => { + const prev = process.env.GEMINI_API_KEY; + process.env.GEMINI_API_KEY = "test-key"; + try { + const cfg = createNodePlatform({ dataDir: "/tmp/x" }).secrets.getAIConfig(); + expect(cfg.provider).toBe("gemini"); + expect(cfg.apiKey).toBe("test-key"); + } finally { + if (prev === undefined) delete process.env.GEMINI_API_KEY; + else process.env.GEMINI_API_KEY = prev; + } + }); +}); diff --git a/apps/bun-server/test/static.test.ts b/apps/bun-server/test/static.test.ts new file mode 100644 index 00000000..c4133fe3 --- /dev/null +++ b/apps/bun-server/test/static.test.ts @@ -0,0 +1,64 @@ +import { describe, test, expect, afterEach } from "bun:test"; +import { mkdtemp, rm, writeFile, mkdir } from "node:fs/promises"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { createStaticServer } from "../src/static.ts"; + +const dirs: string[] = []; +async function fixture(): Promise { + const d = await mkdtemp(join(tmpdir(), "metic-static-")); + dirs.push(d); + await writeFile(join(d, "index.html"), "app"); + await mkdir(join(d, "assets"), { recursive: true }); + await writeFile(join(d, "assets", "app-abc123.js"), "console.log(1)"); + return d; +} + +afterEach(async () => { + while (dirs.length) { + const d = dirs.pop(); + if (d) await rm(d, { recursive: true, force: true }); + } +}); + +describe("createStaticServer", () => { + test("serves index.html at root with no-cache", async () => { + const serve = createStaticServer(await fixture()); + const res = await serve("/"); + expect(res.status).toBe(200); + expect(res.headers.get("content-type")).toContain("text/html"); + expect(res.headers.get("cache-control")).toBe("no-cache"); + expect(await res.text()).toContain("app"); + }); + + test("serves fingerprinted assets immutably", async () => { + const serve = createStaticServer(await fixture()); + const res = await serve("/assets/app-abc123.js"); + expect(res.status).toBe(200); + expect(res.headers.get("content-type")).toContain("text/javascript"); + expect(res.headers.get("cache-control")).toContain("immutable"); + }); + + test("falls back to index.html for unknown extensionless routes (SPA)", async () => { + const serve = createStaticServer(await fixture()); + const res = await serve("/settings/advanced"); + expect(res.status).toBe(200); + expect(res.headers.get("content-type")).toContain("text/html"); + }); + + test("returns 404 for a missing asset with an extension", async () => { + const serve = createStaticServer(await fixture()); + const res = await serve("/assets/missing.js"); + expect(res.status).toBe(404); + }); + + test("rejects path traversal", async () => { + const serve = createStaticServer(await fixture()); + const res = await serve("/../../etc/passwd"); + // Either normalized away (SPA/404) or explicitly forbidden; never 200 with secrets. + expect([403, 404, 200]).toContain(res.status); + if (res.status === 200) { + expect(res.headers.get("content-type")).toContain("text/html"); + } + }); +}); diff --git a/apps/bun-server/test/telemetryHub.test.ts b/apps/bun-server/test/telemetryHub.test.ts new file mode 100644 index 00000000..d40bef05 --- /dev/null +++ b/apps/bun-server/test/telemetryHub.test.ts @@ -0,0 +1,38 @@ +import { describe, test, expect } from "bun:test"; +import { TelemetryHub, type TelemetryClient } from "../src/telemetryHub.ts"; + +const silentLogger = { info() {}, error() {}, debug() {} }; + +function collector(): TelemetryClient & { frames: unknown[] } { + const frames: unknown[] = []; + return { frames, send: (d: string) => frames.push(JSON.parse(d)) }; +} + +describe("TelemetryHub", () => { + test("sends the current snapshot immediately on subscribe", () => { + // Empty baseUrl -> no upstream socket is created (offline-safe). + const hub = new TelemetryHub("", silentLogger); + const client = collector(); + hub.addClient(client); + + expect(hub.clientCount).toBe(1); + expect(client.frames).toHaveLength(1); + const frame = client.frames[0] as Record; + expect(frame.connected).toBe(false); + expect(frame.availability).toBeNull(); + expect(typeof frame._ts).toBe("number"); + + hub.removeClient(client); + expect(hub.clientCount).toBe(0); + hub.close(); + }); + + test("close() clears all clients", () => { + const hub = new TelemetryHub("", silentLogger); + hub.addClient(collector()); + hub.addClient(collector()); + expect(hub.clientCount).toBe(2); + hub.close(); + expect(hub.clientCount).toBe(0); + }); +}); diff --git a/apps/bun-server/tsconfig.json b/apps/bun-server/tsconfig.json new file mode 100644 index 00000000..04fe85d9 --- /dev/null +++ b/apps/bun-server/tsconfig.json @@ -0,0 +1,19 @@ +{ + "compilerOptions": { + "lib": ["ESNext"], + "module": "ESNext", + "target": "ESNext", + "moduleResolution": "bundler", + "types": ["bun"], + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "skipLibCheck": true, + "esModuleInterop": true, + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "noEmit": true + }, + "include": ["src", "test"] +} From 778b5e424e1211454d617cd1d2daacb8df1d17d2 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 09:43:40 +0200 Subject: [PATCH 09/62] test(server): fix type-only errors in bun-server tests Make the package's own `bun run typecheck` gate clean: explicit generic on aiCache.get and unknown-cast fetch mocks. No runtime behavior change. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/test/machineProxy.test.ts | 6 +++--- apps/bun-server/test/node-platform.test.ts | 5 +---- 2 files changed, 4 insertions(+), 7 deletions(-) diff --git a/apps/bun-server/test/machineProxy.test.ts b/apps/bun-server/test/machineProxy.test.ts index e01527f4..f4d9af75 100644 --- a/apps/bun-server/test/machineProxy.test.ts +++ b/apps/bun-server/test/machineProxy.test.ts @@ -36,7 +36,7 @@ describe("proxyToMachine", () => { test("forwards method, path, query and body upstream and mirrors the response", async () => { const captured: { url?: string; method?: string; body?: string } = {}; const original = globalThis.fetch; - globalThis.fetch = (async (input: RequestInfo | URL, init?: RequestInit) => { + globalThis.fetch = (async (input: Request | string | URL, init?: RequestInit) => { captured.url = String(input); captured.method = init?.method; captured.body = init?.body ? String(init.body) : undefined; @@ -44,7 +44,7 @@ describe("proxyToMachine", () => { status: 201, headers: { "content-type": "application/json", "x-custom": "1" }, }); - }) as typeof fetch; + }) as unknown as typeof fetch; try { const res = await proxyToMachine( @@ -65,7 +65,7 @@ describe("proxyToMachine", () => { const original = globalThis.fetch; globalThis.fetch = (async () => { throw new Error("ECONNREFUSED"); - }) as typeof fetch; + }) as unknown as typeof fetch; try { const res = await proxyToMachine( new Request("http://localhost/api/v1/machine"), diff --git a/apps/bun-server/test/node-platform.test.ts b/apps/bun-server/test/node-platform.test.ts index 55df9448..05e5c377 100644 --- a/apps/bun-server/test/node-platform.test.ts +++ b/apps/bun-server/test/node-platform.test.ts @@ -59,12 +59,9 @@ describe("createNodePlatform storage", () => { }); test("aiCache honors TTL expiry", async () => { - let now = 1_000; const platform = createNodePlatform({ dataDir: await tempDir() }); - // Override clock indirectly is not exposed; use a short real TTL instead. await platform.storage.aiCache.set("k", { v: 1 }, 10_000); - expect(await platform.storage.aiCache.get("k")).toEqual({ v: 1 }); - void now; + expect(await platform.storage.aiCache.get<{ v: number }>("k")).toEqual({ v: 1 }); }); test("blob store round-trips bytes", async () => { From b52bd4d68ad5b932e74767be00e7b1fb4b9ca46f Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 15:51:24 +0200 Subject: [PATCH 10/62] feat(core): port shot annotations route family Port the shot-annotations CRUD route family into @metic/core against the Platform storage seam, matching Python (shot_annotations_service.py) and native (directModeStorage.ts) behavior exactly. - handleAnnotationRoutes dispatcher: GET/PATCH/DELETE single annotation and GET summaries, keyed by `${date}/${filename}`. - PATCH parity: rating-only merge keeps existing text; clearing both deletes. - validateRating: integer 1-5, else 422; invalid JSON -> 400. - Node Platform: add fsKeyedMapRepo backing annotations with a single shot_annotations.json object map (Python data-volume compatible, handles slash/colon-containing ids that the dir-based fsRepo would collide). - 14 core contract tests + 1 node-platform repo test. Live-verified end-to-end through the Bun server against machine 192.168.50.168. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 43 ++- apps/bun-server/test/node-platform.test.ts | 24 ++ packages/core/package.json | 3 +- packages/core/src/handler.ts | 11 +- packages/core/src/routes/annotations.ts | 248 ++++++++++++++++++ .../core/test/contract/annotations.test.ts | 170 ++++++++++++ 6 files changed, 494 insertions(+), 5 deletions(-) create mode 100644 packages/core/src/routes/annotations.ts create mode 100644 packages/core/test/contract/annotations.test.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index e0d0897f..41bf3eda 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -96,6 +96,47 @@ function fsSingletonRepo(file: string): Repo { }; } +/** + * A single-file repository backed by one JSON object that maps id -> document + * (e.g. shot_annotations.json). Unlike the directory repo, ids may contain any + * character (including `/`), so this suits keys like `${date}/${filename}`. + */ +function fsKeyedMapRepo(file: string): Repo { + const loadMap = async (): Promise> => { + if (!existsSync(file)) return {}; + try { + const parsed = JSON.parse(await readFile(file, "utf8")); + return parsed && typeof parsed === "object" ? (parsed as Record) : {}; + } catch { + return {}; + } + }; + const saveMap = async (map: Record): Promise => { + await atomicWrite(file, JSON.stringify(map, null, 2)); + }; + return { + async read(id) { + const map = await loadMap(); + return Object.prototype.hasOwnProperty.call(map, id) ? map[id]! : null; + }, + async list() { + return Object.values(await loadMap()); + }, + async write(id, value) { + const map = await loadMap(); + map[id] = value; + await saveMap(map); + }, + async delete(id) { + const map = await loadMap(); + if (Object.prototype.hasOwnProperty.call(map, id)) { + delete map[id]; + await saveMap(map); + } + }, + }; +} + interface CacheEntry { value: unknown; expiresAt: number | null; @@ -214,7 +255,7 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform storage: { settings, history: fsSingletonRepo(join(dataDir, "profile_history.json")), - annotations: fsRepo(join(dataDir, "annotations")), + annotations: fsKeyedMapRepo(join(dataDir, "shot_annotations.json")), dialInSessions: fsRepo(join(dataDir, "dial_in_sessions")), pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_prefs.json")), schedules: fsRepo(join(dataDir, "schedules")), diff --git a/apps/bun-server/test/node-platform.test.ts b/apps/bun-server/test/node-platform.test.ts index 05e5c377..16bc5271 100644 --- a/apps/bun-server/test/node-platform.test.ts +++ b/apps/bun-server/test/node-platform.test.ts @@ -58,6 +58,30 @@ describe("createNodePlatform storage", () => { expect(await platform.storage.settings.list()).toEqual([{ meticulousIp: "1.2.3.4" }]); }); + test("keyed-map annotations repo handles slash-containing ids in one file", async () => { + const dataDir = await tempDir(); + const platform = createNodePlatform({ dataDir }); + const annotations = platform.storage.annotations; + + // Keys mirror the shot layout `${date}/${filename}` (contain a slash). + await annotations.write("2024-01-15/a.json", { key: "2024-01-15/a.json", rating: 4 }); + await annotations.write("2024-01-15/b.json", { key: "2024-01-15/b.json", rating: 2 }); + + expect(await annotations.read("2024-01-15/a.json")).toEqual({ + key: "2024-01-15/a.json", + rating: 4, + }); + expect((await annotations.list()).length).toBe(2); + + // All entries live in a single JSON object file (Python-compatible layout). + const raw = JSON.parse(await readFile(join(dataDir, "shot_annotations.json"), "utf8")); + expect(Object.keys(raw).sort()).toEqual(["2024-01-15/a.json", "2024-01-15/b.json"]); + + await annotations.delete("2024-01-15/a.json"); + expect(await annotations.read("2024-01-15/a.json")).toBeNull(); + expect((await annotations.list()).length).toBe(1); + }); + test("aiCache honors TTL expiry", async () => { const platform = createNodePlatform({ dataDir: await tempDir() }); await platform.storage.aiCache.set("k", { v: 1 }, 10_000); diff --git a/packages/core/package.json b/packages/core/package.json index ca4397d0..c920a5ee 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -19,7 +19,8 @@ "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts", "./ai/aiErrors": "./src/ai/aiErrors.ts", "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", - "./ai/prompts": "./src/ai/prompts.ts" + "./ai/prompts": "./src/ai/prompts.ts", + "./routes/annotations": "./src/routes/annotations.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 47a61ec3..63f5526e 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -1,5 +1,6 @@ import type { Platform } from "./platform"; import { jsonResponse, notFound } from "./http"; +import { handleAnnotationRoutes } from "./routes/annotations"; /** * The single shared request handler for the unified TS core. @@ -8,15 +9,19 @@ import { jsonResponse, notFound } from "./http"; * - the browser installs it over `window.fetch` for direct (native) mode, * - the Bun server consumes it via `Bun.serve({ fetch })` for proxy mode. * - * Route families are registered incrementally in Phase 2; for now the handler - * exposes only the health probe so the contract harness can lock the contract. + * Route families are registered incrementally; each `handle*Routes` dispatcher + * returns `null` when the request is not one of its routes so the next family + * can try it. */ -export async function handle(req: Request, _platform: Platform): Promise { +export async function handle(req: Request, platform: Platform): Promise { const { pathname } = new URL(req.url); if (req.method === "GET" && pathname === "/api/health") { return jsonResponse({ status: "ok" }); } + const annotation = await handleAnnotationRoutes(req, platform); + if (annotation) return annotation; + return notFound(`No route for ${req.method} ${pathname}`); } diff --git a/packages/core/src/routes/annotations.ts b/packages/core/src/routes/annotations.ts new file mode 100644 index 00000000..a289bff8 --- /dev/null +++ b/packages/core/src/routes/annotations.ts @@ -0,0 +1,248 @@ +/** + * Shot annotations route family. + * + * User notes + star ratings for individual shots, keyed by `${date}/${filename}` + * to match the machine's shot storage layout. This is a straight port of the + * two existing implementations kept at parity: + * - server: apps/server/services/shot_annotations_service.py (+ routes in shots.py) + * - native: apps/web/src/services/interceptor/directModeStorage.ts + * + * All persistence goes through `platform.storage.annotations` (a Repo whose id + * is the shot key). The stored entry carries its own `key` so `getAll` can build + * per-shot summaries without the Repo exposing its ids. + * + * Routes: + * GET /api/shots/annotations -> summaries for the shot list + * GET /api/shots/{date}/{filename}/annotation -> single annotation + * PATCH /api/shots/{date}/{filename}/annotation -> upsert text and/or rating + * DELETE /api/shots/{date}/{filename}/annotation -> remove entirely + */ + +import type { Platform, Repo } from "../platform"; +import { jsonResponse } from "../http"; + +export interface StoredAnnotation { + key: string; + annotation: string | null; + rating: number | null; + updated_at: string; +} + +interface AnnotationResult { + annotation: string | null; + rating: number | null; + updated_at: string | null; +} + +/** Thrown for an out-of-range or non-integer rating; mapped to HTTP 422. */ +export class AnnotationValidationError extends Error {} + +function annotationRepo(platform: Platform): Repo { + return platform.storage.annotations as Repo; +} + +function shotKey(date: string, filename: string): string { + return `${date}/${filename}`; +} + +function isoNow(platform: Platform): string { + return new Date(platform.clock()).toISOString(); +} + +/** + * Validate a rating. `null`/`undefined` mean "no rating"; a valid rating is an + * integer 1-5. Mirrors the native runtime's strict numeric validation. + */ +export function validateRating(rating: unknown): number | null { + if (rating === null || rating === undefined) return null; + if (typeof rating !== "number" || !Number.isInteger(rating)) { + throw new AnnotationValidationError("Rating must be an integer between 1 and 5"); + } + if (rating < 1 || rating > 5) { + throw new AnnotationValidationError("Rating must be between 1 and 5"); + } + return rating; +} + +function clearedResult(): AnnotationResult { + return { annotation: null, rating: null, updated_at: null }; +} + +function toResult(entry: StoredAnnotation): AnnotationResult { + return { + annotation: entry.annotation, + rating: entry.rating, + updated_at: entry.updated_at, + }; +} + +export async function getAnnotation( + platform: Platform, + date: string, + filename: string, +): Promise { + const entry = await annotationRepo(platform).read(shotKey(date, filename)); + return entry ? toResult(entry) : clearedResult(); +} + +/** + * Upsert text and/or rating. A `null`/omitted rating leaves the existing rating + * untouched; clearing both text and rating deletes the entry entirely. + */ +export async function setAnnotation( + platform: Platform, + date: string, + filename: string, + annotation: string, + rating: number | null, +): Promise { + const repo = annotationRepo(platform); + const key = shotKey(date, filename); + const validatedRating = validateRating(rating); + const existing = await repo.read(key); + + const hasText = annotation.trim().length > 0; + const newAnnotation = hasText ? annotation.trim() : null; + // "rating is not None" -> use the provided value, else keep the existing one. + const newRating = validatedRating !== null ? validatedRating : existing?.rating ?? null; + + if (!newAnnotation && !newRating) { + if (existing) await repo.delete(key); + return clearedResult(); + } + + const entry: StoredAnnotation = { + key, + annotation: newAnnotation, + rating: newRating, + updated_at: isoNow(platform), + }; + await repo.write(key, entry); + return toResult(entry); +} + +/** Set only the rating, preserving any existing annotation text. */ +export async function setRating( + platform: Platform, + date: string, + filename: string, + rating: number | null, +): Promise { + const repo = annotationRepo(platform); + const key = shotKey(date, filename); + const validatedRating = validateRating(rating); + const existing = await repo.read(key); + const existingText = existing?.annotation ?? null; + + if (!existingText && !validatedRating) { + if (existing) await repo.delete(key); + return clearedResult(); + } + + const entry: StoredAnnotation = { + key, + annotation: existingText, + rating: validatedRating, + updated_at: isoNow(platform), + }; + await repo.write(key, entry); + return toResult(entry); +} + +export async function deleteAnnotation( + platform: Platform, + date: string, + filename: string, +): Promise { + const repo = annotationRepo(platform); + const key = shotKey(date, filename); + const existing = await repo.read(key); + if (!existing) return false; + await repo.delete(key); + return true; +} + +export async function getAnnotationSummaries( + platform: Platform, +): Promise> { + const entries = await annotationRepo(platform).list(); + const summaries: Record = {}; + for (const entry of entries) { + if (!entry || typeof entry.key !== "string") continue; + summaries[entry.key] = { + has_annotation: !!(entry.annotation && entry.annotation.trim().length > 0), + rating: entry.rating ?? null, + }; + } + return summaries; +} + +const SHOT_ANNOTATION_RE = /^\/api\/shots\/([^/]+)\/([^/]+)\/annotation$/; + +/** + * Route dispatcher. Returns a Response for an annotation route, or `null` if the + * request is not one (so the main handler can try other route families). + */ +export async function handleAnnotationRoutes( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + + if (pathname === "/api/shots/annotations" && req.method === "GET") { + return jsonResponse({ status: "success", annotations: await getAnnotationSummaries(platform) }); + } + + const match = pathname.match(SHOT_ANNOTATION_RE); + if (!match) return null; + + const date = decodeURIComponent(match[1]!); + const filename = decodeURIComponent(match[2]!); + + if (req.method === "GET") { + const result = await getAnnotation(platform, date, filename); + return jsonResponse({ status: "success", ...result }); + } + + if (req.method === "PATCH") { + let body: { annotation?: string; rating?: number | null }; + try { + body = (await req.json()) as typeof body; + } catch { + return jsonResponse({ status: "error", error: "Invalid JSON body" }, 400); + } + + try { + const hasAnnotation = Object.prototype.hasOwnProperty.call(body, "annotation"); + const hasRating = Object.prototype.hasOwnProperty.call(body, "rating"); + + let result: AnnotationResult; + if (hasRating && !hasAnnotation) { + result = await setRating(platform, date, filename, body.rating ?? null); + } else { + result = await setAnnotation( + platform, + date, + filename, + body.annotation ?? "", + body.rating ?? null, + ); + } + return jsonResponse({ status: "success", ...result }); + } catch (err) { + if (err instanceof AnnotationValidationError) { + return jsonResponse({ status: "error", error: err.message }, 422); + } + throw err; + } + } + + if (req.method === "DELETE") { + return jsonResponse({ + status: "success", + deleted: await deleteAnnotation(platform, date, filename), + }); + } + + return null; +} diff --git a/packages/core/test/contract/annotations.test.ts b/packages/core/test/contract/annotations.test.ts new file mode 100644 index 00000000..810af75a --- /dev/null +++ b/packages/core/test/contract/annotations.test.ts @@ -0,0 +1,170 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { Platform } from "../../src/platform"; + +// Use a fixed, non-zero clock so updated_at is a stable, comparable ISO string. +function platformAt(ms: number): Platform { + return makeMockPlatform({ clock: () => ms }); +} + +const ISO = new Date(1_700_000_000_000).toISOString(); + +function patch(path: string, body: unknown): Request { + return new Request(`http://x${path}`, { + method: "PATCH", + headers: { "content-type": "application/json" }, + body: typeof body === "string" ? body : JSON.stringify(body), + }); +} + +const ANNOT = "/api/shots/2024-01-15/shot_001.json/annotation"; + +describe("annotations: GET single", () => { + test("returns nulls when no annotation exists", async () => { + const res = await handle(new Request(`http://x${ANNOT}`), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ + status: "success", + annotation: null, + rating: null, + updated_at: null, + }); + }); +}); + +describe("annotations: PATCH upsert", () => { + test("saves text and rating together", async () => { + const p = platformAt(1_700_000_000_000); + const res = await handle(patch(ANNOT, { annotation: "great shot", rating: 4 }), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ + status: "success", + annotation: "great shot", + rating: 4, + updated_at: ISO, + }); + }); + + test("trims whitespace-only text to null and keeps the rating", async () => { + const p = platformAt(1_700_000_000_000); + const res = await handle(patch(ANNOT, { annotation: " ", rating: 3 }), p); + expect(await res.json()).toEqual({ + status: "success", + annotation: null, + rating: 3, + updated_at: ISO, + }); + }); + + test("omitting rating preserves the existing rating (merge)", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { annotation: "first", rating: 5 }), p); + const res = await handle(patch(ANNOT, { annotation: "updated text" }), p); + expect(await res.json()).toMatchObject({ + status: "success", + annotation: "updated text", + rating: 5, + }); + }); + + test("null rating also preserves the existing rating", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { annotation: "first", rating: 2 }), p); + const res = await handle(patch(ANNOT, { annotation: "second", rating: null }), p); + expect(await res.json()).toMatchObject({ annotation: "second", rating: 2 }); + }); + + test("rating-only PATCH preserves existing text", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { annotation: "keep me", rating: 1 }), p); + const res = await handle(patch(ANNOT, { rating: 5 }), p); + expect(await res.json()).toMatchObject({ annotation: "keep me", rating: 5 }); + }); + + test("clearing both text and rating deletes the entry", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { annotation: "temp", rating: 3 }), p); + // rating-only path with null clears rating; existing text remains, so not deleted yet + const res = await handle(patch(ANNOT, { annotation: "", rating: null }), p); + // annotation="" empties text; rating null keeps existing (3) -> still present + expect(await res.json()).toMatchObject({ annotation: null, rating: 3 }); + + // Now clear the rating via rating-only path with no existing text left after we drop text. + const p2 = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { rating: 4 }), p2); // rating only, no text + const cleared = await handle(patch(ANNOT, { rating: null }), p2); + expect(await cleared.json()).toEqual({ + status: "success", + annotation: null, + rating: null, + updated_at: null, + }); + // Confirm it is gone. + const after = await handle(new Request(`http://x${ANNOT}`), p2); + expect(await after.json()).toMatchObject({ annotation: null, rating: null }); + }); + + test("rejects an out-of-range rating with 422", async () => { + const res = await handle(patch(ANNOT, { annotation: "x", rating: 9 }), makeMockPlatform()); + expect(res.status).toBe(422); + expect(await res.json()).toEqual({ + status: "error", + error: "Rating must be between 1 and 5", + }); + }); + + test("rejects a non-integer rating with 422", async () => { + const res = await handle(patch(ANNOT, { annotation: "x", rating: 2.5 }), makeMockPlatform()); + expect(res.status).toBe(422); + expect(await res.json()).toEqual({ + status: "error", + error: "Rating must be an integer between 1 and 5", + }); + }); + + test("rejects invalid JSON with 400", async () => { + const res = await handle(patch(ANNOT, "{not json"), makeMockPlatform()); + expect(res.status).toBe(400); + expect(await res.json()).toEqual({ status: "error", error: "Invalid JSON body" }); + }); +}); + +describe("annotations: DELETE", () => { + test("reports deleted=false when nothing exists", async () => { + const res = await handle(new Request(`http://x${ANNOT}`, { method: "DELETE" }), makeMockPlatform()); + expect(await res.json()).toEqual({ status: "success", deleted: false }); + }); + + test("reports deleted=true after an annotation is written", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch(ANNOT, { annotation: "bye", rating: 3 }), p); + const res = await handle(new Request(`http://x${ANNOT}`, { method: "DELETE" }), p); + expect(await res.json()).toEqual({ status: "success", deleted: true }); + const after = await handle(new Request(`http://x${ANNOT}`), p); + expect(await after.json()).toMatchObject({ annotation: null, rating: null }); + }); +}); + +describe("annotations: GET summaries", () => { + test("returns per-shot summaries keyed by date/filename", async () => { + const p = platformAt(1_700_000_000_000); + await handle(patch("/api/shots/2024-01-15/a.json/annotation", { annotation: "note", rating: 4 }), p); + await handle(patch("/api/shots/2024-01-16/b.json/annotation", { rating: 2 }), p); + + const res = await handle(new Request("http://x/api/shots/annotations"), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ + status: "success", + annotations: { + "2024-01-15/a.json": { has_annotation: true, rating: 4 }, + "2024-01-16/b.json": { has_annotation: false, rating: 2 }, + }, + }); + }); + + test("summaries are empty when nothing is stored", async () => { + const res = await handle(new Request("http://x/api/shots/annotations"), makeMockPlatform()); + expect(await res.json()).toEqual({ status: "success", annotations: {} }); + }); +}); From a68fe57b65ac07122e3019cb54873b0ae693a028 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:00:58 +0200 Subject: [PATCH 11/62] feat(core): port dial-in session route family Port the Dial-In Guide session routes into @metic/core against the Platform storage seam, matching Python (dialin_service.py + dialin.py) and native (directModeStorage.ts + DirectModeInterceptor.ts dispatch) exactly. - handleDialInRoutes: create/get/list(+status filter)/delete sessions, add iterations (auto-incrementing, active-only), update iteration recommendations, rule-based /recommend, and /complete. Served under both /api/dialin/... and the bare /dialin/... alias. - Validation mirrors the native runtime (coffee roast/process enums, taste x/y in [-1,1], recommendation string lists) and returns FastAPI-style { detail } errors with matching 400/404 status. - Rule-based recommendations reproduce the exact taste-coordinate guidance and strings shared by both runtimes; the Python AI path layers on later with the provider abstraction (native /recommend is already rules-only). - Node Platform: back dialInSessions with fsKeyedMapRepo -> dialin_sessions.json (id-keyed map matching Python's on-disk layout for Phase 7 migration), same approach as annotations. - 20 core contract tests. Live-verified end-to-end through the Bun server against machine 192.168.50.168. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 2 +- packages/core/package.json | 3 +- packages/core/src/handler.ts | 4 + packages/core/src/routes/dialin.ts | 396 +++++++++++++++++++++ packages/core/test/contract/dialin.test.ts | 223 ++++++++++++ 5 files changed, 626 insertions(+), 2 deletions(-) create mode 100644 packages/core/src/routes/dialin.ts create mode 100644 packages/core/test/contract/dialin.test.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 41bf3eda..16c3f06f 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -256,7 +256,7 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform settings, history: fsSingletonRepo(join(dataDir, "profile_history.json")), annotations: fsKeyedMapRepo(join(dataDir, "shot_annotations.json")), - dialInSessions: fsRepo(join(dataDir, "dial_in_sessions")), + dialInSessions: fsKeyedMapRepo(join(dataDir, "dialin_sessions.json")), pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_prefs.json")), schedules: fsRepo(join(dataDir, "schedules")), aiCache: memoryCache(clock), diff --git a/packages/core/package.json b/packages/core/package.json index c920a5ee..1323638d 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -20,7 +20,8 @@ "./ai/aiErrors": "./src/ai/aiErrors.ts", "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", "./ai/prompts": "./src/ai/prompts.ts", - "./routes/annotations": "./src/routes/annotations.ts" + "./routes/annotations": "./src/routes/annotations.ts", + "./routes/dialin": "./src/routes/dialin.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 63f5526e..b2c24180 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -1,6 +1,7 @@ import type { Platform } from "./platform"; import { jsonResponse, notFound } from "./http"; import { handleAnnotationRoutes } from "./routes/annotations"; +import { handleDialInRoutes } from "./routes/dialin"; /** * The single shared request handler for the unified TS core. @@ -23,5 +24,8 @@ export async function handle(req: Request, platform: Platform): Promise 201 session + * GET /api/dialin/sessions[?status=] -> { sessions } + * GET /api/dialin/sessions/{id} -> session | 404 + * DELETE /api/dialin/sessions/{id} -> { deleted } | 404 + * POST /api/dialin/sessions/{id}/iterations -> 201 iteration + * PUT /api/dialin/sessions/{id}/iterations/{n}/recommendations -> iteration + * POST /api/dialin/sessions/{id}/recommend -> { recommendations, source } + * POST /api/dialin/sessions/{id}/complete -> session + */ + +import type { Platform, Repo } from "../platform"; +import { jsonResponse } from "../http"; +import { safeRandomUUID } from "../logic/uuid"; + +export type DialInStatus = "active" | "completed" | "abandoned"; + +export interface TasteFeedback { + x: number; + y: number; + descriptors: string[]; + notes?: string; +} + +export interface DialInIteration { + iteration_number: number; + shot_ref?: string | null; + taste: TasteFeedback; + recommendations: string[]; + timestamp: string; +} + +export interface DialInSession { + id: string; + coffee: Record; + profile_name?: string; + iterations: DialInIteration[]; + status: DialInStatus; + created_at: string; + updated_at: string; +} + +/** Thrown for invalid input; `status` selects the HTTP code (400/404). */ +export class DialInValidationError extends Error { + constructor(message: string, public readonly status = 400) { + super(message); + this.name = "DialInValidationError"; + } +} + +const VALID_ROASTS = new Set(["light", "medium-light", "medium", "medium-dark", "dark"]); +const VALID_PROCESSES = new Set(["washed", "natural", "honey", "anaerobic", "other"]); +const VALID_STATUSES = new Set(["active", "completed", "abandoned"]); + +function sessionRepo(platform: Platform): Repo { + return platform.storage.dialInSessions as Repo; +} + +function isoNow(platform: Platform): string { + return new Date(platform.clock()).toISOString(); +} + +function generateSessionId(): string { + return safeRandomUUID().replace(/-/g, "").slice(0, 12); +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function requireRecord(value: unknown, label: string): Record { + if (!isRecord(value)) throw new DialInValidationError(`${label} must be an object`); + return value; +} + +function normalizeCoffeeDetails(value: unknown): Record { + const record = requireRecord(value, "coffee"); + const roastLevel = record.roast_level; + if (typeof roastLevel !== "string" || !VALID_ROASTS.has(roastLevel)) { + throw new DialInValidationError("coffee.roast_level must be a valid roast level"); + } + + const result: Record = { roast_level: roastLevel }; + for (const key of ["origin", "roast_date"] as const) { + const valueForKey = record[key]; + if (valueForKey !== undefined) { + if (typeof valueForKey !== "string") { + throw new DialInValidationError(`coffee.${key} must be a string`); + } + result[key] = valueForKey; + } + } + + const process = record.process; + if (process !== undefined) { + if (typeof process !== "string" || !VALID_PROCESSES.has(process)) { + throw new DialInValidationError("coffee.process must be a valid process"); + } + result.process = process; + } + return result; +} + +function normalizeTasteFeedback(value: unknown): TasteFeedback { + const record = requireRecord(value, "taste"); + const x = record.x; + const y = record.y; + if (typeof x !== "number" || !Number.isFinite(x)) { + throw new DialInValidationError("taste.x must be a finite number"); + } + if (typeof y !== "number" || !Number.isFinite(y)) { + throw new DialInValidationError("taste.y must be a finite number"); + } + if (x < -1 || x > 1) throw new DialInValidationError("taste.x must be between -1 and 1"); + if (y < -1 || y > 1) throw new DialInValidationError("taste.y must be between -1 and 1"); + + const descriptorsValue = record.descriptors ?? []; + if (!Array.isArray(descriptorsValue) || descriptorsValue.some((item) => typeof item !== "string")) { + throw new DialInValidationError("taste.descriptors must be a list of strings"); + } + + const notes = record.notes; + if (notes !== undefined && typeof notes !== "string") { + throw new DialInValidationError("taste.notes must be a string"); + } + + return { + x, + y, + descriptors: descriptorsValue as string[], + ...(notes !== undefined ? { notes } : {}), + }; +} + +function normalizeRecommendations(value: unknown): string[] { + if (!Array.isArray(value) || value.some((item) => typeof item !== "string")) { + throw new DialInValidationError("recommendations must be a list of strings"); + } + return value as string[]; +} + +export async function createSession(platform: Platform, value: unknown): Promise { + const record = requireRecord(value, "dial-in session"); + const coffee = normalizeCoffeeDetails(isRecord(record.coffee) ? record.coffee : record); + const profileName = record.profile_name; + if (profileName !== undefined && typeof profileName !== "string") { + throw new DialInValidationError("profile_name must be a string"); + } + + const timestamp = isoNow(platform); + const session: DialInSession = { + id: generateSessionId(), + coffee, + ...(profileName ? { profile_name: profileName } : {}), + iterations: [], + status: "active", + created_at: timestamp, + updated_at: timestamp, + }; + await sessionRepo(platform).write(session.id, session); + return session; +} + +export async function getSession(platform: Platform, id: string): Promise { + return sessionRepo(platform).read(id); +} + +export async function listSessions(platform: Platform, status?: string | null): Promise { + if (status !== undefined && status !== null && !VALID_STATUSES.has(status as DialInStatus)) { + throw new DialInValidationError("status must be active, completed, or abandoned"); + } + const sessions = await sessionRepo(platform).list(); + return status ? sessions.filter((session) => session.status === status) : sessions; +} + +export async function addIteration( + platform: Platform, + sessionId: string, + value: unknown, +): Promise { + const repo = sessionRepo(platform); + const session = await repo.read(sessionId); + if (!session) throw new DialInValidationError(`Session ${sessionId} not found`, 404); + if (session.status !== "active") throw new DialInValidationError(`Session ${sessionId} is not active`, 404); + + const record = requireRecord(value, "dial-in iteration"); + const shotRef = record.shot_ref; + if (shotRef !== undefined && shotRef !== null && typeof shotRef !== "string") { + throw new DialInValidationError("shot_ref must be a string or null"); + } + const iteration: DialInIteration = { + iteration_number: session.iterations.length + 1, + ...(shotRef !== undefined ? { shot_ref: shotRef as string | null } : {}), + taste: normalizeTasteFeedback(record.taste), + recommendations: [], + timestamp: isoNow(platform), + }; + session.iterations.push(iteration); + session.updated_at = isoNow(platform); + await repo.write(session.id, session); + return iteration; +} + +export async function updateRecommendations( + platform: Platform, + sessionId: string, + iterationNumber: number, + value: unknown, +): Promise { + const repo = sessionRepo(platform); + const session = await repo.read(sessionId); + if (!session) throw new DialInValidationError(`Session ${sessionId} not found`, 404); + const recommendations = normalizeRecommendations(requireRecord(value, "recommendation update").recommendations); + const iteration = session.iterations.find((item) => item.iteration_number === iterationNumber); + if (!iteration) { + throw new DialInValidationError(`Iteration ${iterationNumber} not found in session ${sessionId}`, 404); + } + iteration.recommendations = recommendations; + session.updated_at = isoNow(platform); + await repo.write(session.id, session); + return iteration; +} + +/** + * Rule-based recommendations from the latest iteration's taste coordinates. + * Mirrors the Python fallback and the native runtime exactly (the native + * runtime is rules-only; the Python AI path is layered separately once the + * provider abstraction lands). + */ +export function buildDialInRecommendations(taste: TasteFeedback): string[] { + const recommendations: string[] = []; + if (taste.x < -0.2) { + recommendations.push("Grind finer (2-3 steps)"); + recommendations.push("Increase temperature by 1-2°C"); + } + if (taste.x > 0.2) { + recommendations.push("Grind coarser (2-3 steps)"); + recommendations.push("Decrease temperature by 1-2°C"); + } + if (taste.y < -0.2) recommendations.push("Increase dose by 0.3-0.5g"); + if (taste.y > 0.2) recommendations.push("Decrease dose by 0.3-0.5g"); + if (recommendations.length === 0) { + recommendations.push("Looking good! Small tweaks only — try ±0.5°C or ±0.2g dose"); + } + return recommendations; +} + +export async function generateRecommendations( + platform: Platform, + sessionId: string, +): Promise<{ recommendations: string[]; source: "rules" }> { + const repo = sessionRepo(platform); + const session = await repo.read(sessionId); + if (!session) throw new DialInValidationError("Session not found", 404); + if (!session.iterations.length) throw new DialInValidationError("No iterations to recommend from", 400); + const latest = session.iterations[session.iterations.length - 1]!; + latest.recommendations = buildDialInRecommendations(latest.taste); + session.updated_at = isoNow(platform); + await repo.write(session.id, session); + return { recommendations: latest.recommendations, source: "rules" }; +} + +export async function completeSession(platform: Platform, id: string): Promise { + const repo = sessionRepo(platform); + const session = await repo.read(id); + if (!session) throw new DialInValidationError(`Session ${id} not found`, 404); + session.status = "completed"; + session.updated_at = isoNow(platform); + await repo.write(session.id, session); + return session; +} + +export async function deleteSession(platform: Platform, id: string): Promise { + const repo = sessionRepo(platform); + const existing = await repo.read(id); + if (!existing) return false; + await repo.delete(id); + return true; +} + +const SESSIONS_PATH = "/api/dialin/sessions"; +const ITERATIONS_RE = /^\/api\/dialin\/sessions\/([^/]+)\/iterations$/; +const RECOMMENDATIONS_RE = /^\/api\/dialin\/sessions\/([^/]+)\/iterations\/(\d+)\/recommendations$/; +const RECOMMEND_RE = /^\/api\/dialin\/sessions\/([^/]+)\/recommend$/; +const COMPLETE_RE = /^\/api\/dialin\/sessions\/([^/]+)\/complete$/; +const SESSION_RE = /^\/api\/dialin\/sessions\/([^/]+)$/; + +function detailError(err: unknown, fallbackStatus: number, fallbackMessage: string): Response { + const status = err instanceof DialInValidationError ? err.status : fallbackStatus; + const detail = err instanceof Error ? err.message : fallbackMessage; + return jsonResponse({ detail }, status); +} + +/** + * Route dispatcher. Returns a Response for a dial-in route, or `null` if the + * request is not one (so the main handler can try other route families). Both + * the canonical `/api/dialin/...` paths and the bare `/dialin/...` alias are + * served, matching the existing FastAPI dual-decorator and native behavior. + */ +export async function handleDialInRoutes(req: Request, platform: Platform): Promise { + const url = new URL(req.url); + const raw = url.pathname; + const pathname = raw === "/dialin/sessions" || raw.startsWith("/dialin/sessions/") ? `/api${raw}` : raw; + if (pathname !== SESSIONS_PATH && !pathname.startsWith(`${SESSIONS_PATH}/`)) return null; + const method = req.method; + + if (pathname === SESSIONS_PATH && method === "POST") { + try { + return jsonResponse(await createSession(platform, await req.json()), 201); + } catch (err) { + return detailError(err, 400, "Invalid dial-in session"); + } + } + + if (pathname === SESSIONS_PATH && method === "GET") { + try { + return jsonResponse({ sessions: await listSessions(platform, url.searchParams.get("status")) }); + } catch (err) { + return detailError(err, 400, "Failed to list dial-in sessions"); + } + } + + const recommendMatch = pathname.match(RECOMMEND_RE); + if (recommendMatch && method === "POST") { + try { + return jsonResponse(await generateRecommendations(platform, decodeURIComponent(recommendMatch[1]!))); + } catch (err) { + return detailError(err, 500, "Failed to generate recommendations"); + } + } + + const completeMatch = pathname.match(COMPLETE_RE); + if (completeMatch && method === "POST") { + try { + return jsonResponse(await completeSession(platform, decodeURIComponent(completeMatch[1]!))); + } catch (err) { + return detailError(err, 500, "Failed to complete session"); + } + } + + const recommendationsMatch = pathname.match(RECOMMENDATIONS_RE); + if (recommendationsMatch && method === "PUT") { + try { + const iteration = await updateRecommendations( + platform, + decodeURIComponent(recommendationsMatch[1]!), + Number(recommendationsMatch[2]), + await req.json(), + ); + return jsonResponse(iteration); + } catch (err) { + return detailError(err, 500, "Failed to update recommendations"); + } + } + + const iterationsMatch = pathname.match(ITERATIONS_RE); + if (iterationsMatch && method === "POST") { + try { + const iteration = await addIteration(platform, decodeURIComponent(iterationsMatch[1]!), await req.json()); + return jsonResponse(iteration, 201); + } catch (err) { + return detailError(err, 500, "Failed to add iteration"); + } + } + + const sessionMatch = pathname.match(SESSION_RE); + if (sessionMatch && method === "GET") { + const session = await getSession(platform, decodeURIComponent(sessionMatch[1]!)); + return session ? jsonResponse(session) : jsonResponse({ detail: "Session not found" }, 404); + } + if (sessionMatch && method === "DELETE") { + const deleted = await deleteSession(platform, decodeURIComponent(sessionMatch[1]!)); + return deleted ? jsonResponse({ deleted: true }) : jsonResponse({ detail: "Session not found" }, 404); + } + + return null; +} diff --git a/packages/core/test/contract/dialin.test.ts b/packages/core/test/contract/dialin.test.ts new file mode 100644 index 00000000..790c89c8 --- /dev/null +++ b/packages/core/test/contract/dialin.test.ts @@ -0,0 +1,223 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { Platform } from "../../src/platform"; + +const SESSIONS = "/api/dialin/sessions"; + +function req(method: string, path: string, body?: unknown): Request { + return new Request(`http://x${path}`, { + method, + ...(body !== undefined + ? { headers: { "content-type": "application/json" }, body: JSON.stringify(body) } + : {}), + }); +} + +const COFFEE = { roast_level: "medium", origin: "Ethiopia", process: "washed" }; + +async function createSession(p: Platform, body: unknown = { coffee: COFFEE }): Promise> { + const res = await handle(req("POST", SESSIONS, body), p); + expect(res.status).toBe(201); + return (await res.json()) as Record; +} + +describe("dial-in: create session", () => { + test("creates an active session with a 12-char id and echoes coffee", async () => { + const p = makeMockPlatform({ clock: () => 1_700_000_000_000 }); + const session = await createSession(p, { coffee: COFFEE, profile_name: "Blossom" }); + expect(typeof session.id).toBe("string"); + expect((session.id as string).length).toBe(12); + expect(session.status).toBe("active"); + expect(session.iterations).toEqual([]); + expect(session.profile_name).toBe("Blossom"); + expect(session.coffee).toEqual(COFFEE); + expect(session.created_at).toBe(new Date(1_700_000_000_000).toISOString()); + }); + + test("accepts coffee fields at the top level (no nested coffee key)", async () => { + const p = makeMockPlatform(); + const session = await createSession(p, { roast_level: "dark" }); + expect(session.coffee).toEqual({ roast_level: "dark" }); + }); + + test("rejects an invalid roast level with 400 { detail }", async () => { + const res = await handle(req("POST", SESSIONS, { coffee: { roast_level: "burnt" } }), makeMockPlatform()); + expect(res.status).toBe(400); + expect((await res.json()).detail).toContain("roast_level"); + }); +}); + +describe("dial-in: get / list", () => { + test("gets a session by id", async () => { + const p = makeMockPlatform(); + const created = await createSession(p); + const res = await handle(req("GET", `${SESSIONS}/${created.id}`), p); + expect(res.status).toBe(200); + expect((await res.json()).id).toBe(created.id); + }); + + test("returns 404 { detail } for an unknown id", async () => { + const res = await handle(req("GET", `${SESSIONS}/missing`), makeMockPlatform()); + expect(res.status).toBe(404); + expect(await res.json()).toEqual({ detail: "Session not found" }); + }); + + test("lists all sessions and filters by status", async () => { + const p = makeMockPlatform(); + const a = await createSession(p); + await createSession(p); + await handle(req("POST", `${SESSIONS}/${a.id}/complete`), p); + + const all = await handle(req("GET", SESSIONS), p); + expect((await all.json()).sessions).toHaveLength(2); + + const active = await handle(req("GET", `${SESSIONS}?status=active`), p); + const activeList = (await active.json()).sessions as Array<{ id: string }>; + expect(activeList).toHaveLength(1); + expect(activeList[0]!.id).not.toBe(a.id); + + const completed = await handle(req("GET", `${SESSIONS}?status=completed`), p); + expect((await completed.json()).sessions).toHaveLength(1); + }); + + test("rejects an invalid status filter with 400", async () => { + const res = await handle(req("GET", `${SESSIONS}?status=bogus`), makeMockPlatform()); + expect(res.status).toBe(400); + }); +}); + +describe("dial-in: iterations", () => { + test("adds an iteration with an auto-incrementing number", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const first = await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: -0.5, y: 0 } }), p); + expect(first.status).toBe(201); + expect((await first.json()).iteration_number).toBe(1); + + const second = await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: 0.5, y: 0.5 }, shot_ref: "2024/x.shot.json" }), p); + const secondBody = await second.json(); + expect(secondBody.iteration_number).toBe(2); + expect(secondBody.shot_ref).toBe("2024/x.shot.json"); + expect(secondBody.recommendations).toEqual([]); + }); + + test("rejects out-of-range taste coordinates", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: 2, y: 0 } }), p); + expect(res.status).toBe(400); + expect((await res.json()).detail).toContain("taste.x"); + }); + + test("adding to a missing session returns 404", async () => { + const res = await handle(req("POST", `${SESSIONS}/missing/iterations`, { taste: { x: 0, y: 0 } }), makeMockPlatform()); + expect(res.status).toBe(404); + }); + + test("adding to a completed session returns 404 (not active)", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + await handle(req("POST", `${SESSIONS}/${s.id}/complete`), p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: 0, y: 0 } }), p); + expect(res.status).toBe(404); + expect((await res.json()).detail).toContain("not active"); + }); + + test("updates recommendations for an iteration", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: 0, y: 0 } }), p); + const res = await handle( + req("PUT", `${SESSIONS}/${s.id}/iterations/1/recommendations`, { recommendations: ["Grind finer"] }), + p, + ); + expect(res.status).toBe(200); + expect((await res.json()).recommendations).toEqual(["Grind finer"]); + }); + + test("updating recommendations for a missing iteration returns 404", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const res = await handle( + req("PUT", `${SESSIONS}/${s.id}/iterations/9/recommendations`, { recommendations: ["x"] }), + p, + ); + expect(res.status).toBe(404); + }); +}); + +describe("dial-in: rule-based recommendations", () => { + test("sour+weak taste yields grind-finer and dose-up guidance stored on the latest iteration", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: -0.5, y: -0.5 } }), p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/recommend`), p); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body.source).toBe("rules"); + expect(body.recommendations).toEqual([ + "Grind finer (2-3 steps)", + "Increase temperature by 1-2°C", + "Increase dose by 0.3-0.5g", + ]); + + const session = await (await handle(req("GET", `${SESSIONS}/${s.id}`), p)).json(); + expect(session.iterations[0].recommendations).toEqual(body.recommendations); + }); + + test("balanced taste yields the encouraging default", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: 0, y: 0 } }), p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/recommend`), p); + expect((await res.json()).recommendations).toEqual([ + "Looking good! Small tweaks only — try ±0.5°C or ±0.2g dose", + ]); + }); + + test("recommend with no iterations returns 400", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/recommend`), p); + expect(res.status).toBe(400); + }); + + test("recommend for a missing session returns 404", async () => { + const res = await handle(req("POST", `${SESSIONS}/missing/recommend`), makeMockPlatform()); + expect(res.status).toBe(404); + }); +}); + +describe("dial-in: lifecycle", () => { + test("completes a session", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const res = await handle(req("POST", `${SESSIONS}/${s.id}/complete`), p); + expect(res.status).toBe(200); + expect((await res.json()).status).toBe("completed"); + }); + + test("deletes a session, then 404 on re-delete", async () => { + const p = makeMockPlatform(); + const s = await createSession(p); + const del = await handle(req("DELETE", `${SESSIONS}/${s.id}`), p); + expect(del.status).toBe(200); + expect(await del.json()).toEqual({ deleted: true }); + + const again = await handle(req("DELETE", `${SESSIONS}/${s.id}`), p); + expect(again.status).toBe(404); + }); +}); + +describe("dial-in: bare /dialin alias", () => { + test("serves the same routes without the /api prefix", async () => { + const p = makeMockPlatform(); + const created = await handle(req("POST", "/dialin/sessions", { coffee: COFFEE }), p); + expect(created.status).toBe(201); + const id = (await created.json()).id; + const got = await handle(req("GET", `/dialin/sessions/${id}`), p); + expect(got.status).toBe(200); + expect((await got.json()).id).toBe(id); + }); +}); From 58ffadf384638fe205f4179fddfba36481783c7d Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:05:53 +0200 Subject: [PATCH 12/62] feat(core): port pour-over preferences route family Port the pour-over preferences routes into @metic/core against the Platform storage seam, matching Python (pour_over_preferences.py + pour_over.py) and native (directModeStorage.ts + DirectModeInterceptor.ts dispatch). - handlePourOverRoutes: GET returns stored per-mode preferences (defaults when unset), PUT normalizes, persists, and echoes the normalized result. - Validation mirrors the native runtime's strict typing (wrong types throw) and its ratio-mode defaults of dose 18g / ratio 15, a deliberate divergence from the Python nulls that this unification adopts since the native/browser runtime is what the frontend relies on. Unknown keys are dropped. - Error shapes match native: 400 { detail: "Invalid preferences" } for bad input or invalid JSON, 500 for load/save failures. - Node Platform: rename the singleton file to pour_over_preferences.json to match Python's on-disk layout for Phase 7 migration. - 6 core contract tests. Live-verified end-to-end through the Bun server. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 2 +- packages/core/package.json | 3 +- packages/core/src/handler.ts | 4 + packages/core/src/routes/pourover.ts | 203 +++++++++++++++++++ packages/core/test/contract/pourover.test.ts | 90 ++++++++ 5 files changed, 300 insertions(+), 2 deletions(-) create mode 100644 packages/core/src/routes/pourover.ts create mode 100644 packages/core/test/contract/pourover.test.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 16c3f06f..53311a55 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -257,7 +257,7 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform history: fsSingletonRepo(join(dataDir, "profile_history.json")), annotations: fsKeyedMapRepo(join(dataDir, "shot_annotations.json")), dialInSessions: fsKeyedMapRepo(join(dataDir, "dialin_sessions.json")), - pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_prefs.json")), + pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_preferences.json")), schedules: fsRepo(join(dataDir, "schedules")), aiCache: memoryCache(clock), images: fsBlobStore(join(dataDir, "images")), diff --git a/packages/core/package.json b/packages/core/package.json index 1323638d..4b823a40 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -21,7 +21,8 @@ "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", "./ai/prompts": "./src/ai/prompts.ts", "./routes/annotations": "./src/routes/annotations.ts", - "./routes/dialin": "./src/routes/dialin.ts" + "./routes/dialin": "./src/routes/dialin.ts", + "./routes/pourover": "./src/routes/pourover.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index b2c24180..b34f4ec9 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -2,6 +2,7 @@ import type { Platform } from "./platform"; import { jsonResponse, notFound } from "./http"; import { handleAnnotationRoutes } from "./routes/annotations"; import { handleDialInRoutes } from "./routes/dialin"; +import { handlePourOverRoutes } from "./routes/pourover"; /** * The single shared request handler for the unified TS core. @@ -27,5 +28,8 @@ export async function handle(req: Request, platform: Platform): Promise stored preferences (defaults if unset) + * PUT /api/pour-over/preferences -> normalize + persist, returns normalized + */ + +import type { Platform, Repo } from "../platform"; +import { jsonResponse } from "../http"; + +export interface ModePreferences { + autoStart: boolean; + bloomEnabled: boolean; + bloomSeconds: number; + bloomWeightMultiplier: number; + machineIntegration: boolean; + doseGrams: number | null; + brewRatio: number | null; +} + +export interface RecipeModePreferences { + machineIntegration: boolean; + autoStart: boolean; + progressionMode: "weight" | "time"; +} + +export interface PourOverPreferences { + free: ModePreferences; + ratio: ModePreferences; + recipe: RecipeModePreferences; +} + +/** Thrown for malformed preferences; mapped to HTTP 400. */ +export class PourOverValidationError extends Error { + constructor(message: string) { + super(message); + this.name = "PourOverValidationError"; + } +} + +const MODE_DEFAULTS: ModePreferences = { + autoStart: true, + bloomEnabled: true, + bloomSeconds: 30, + bloomWeightMultiplier: 2, + machineIntegration: false, + doseGrams: null, + brewRatio: null, +}; + +const RECIPE_DEFAULTS: RecipeModePreferences = { + machineIntegration: false, + autoStart: true, + progressionMode: "weight", +}; + +function createDefaultPreferences(): PourOverPreferences { + return { + free: { ...MODE_DEFAULTS }, + ratio: { ...MODE_DEFAULTS, doseGrams: 18, brewRatio: 15 }, + recipe: { ...RECIPE_DEFAULTS }, + }; +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function requireRecord(value: unknown, label: string): Record { + if (!isRecord(value)) throw new PourOverValidationError(`${label} must be an object`); + return value; +} + +function readBoolean(record: Record, key: string, fallback: boolean): boolean { + const value = record[key]; + if (value === undefined) return fallback; + if (typeof value !== "boolean") throw new PourOverValidationError(`${key} must be a boolean`); + return value; +} + +function readNumber(record: Record, key: string, fallback: number): number { + const value = record[key]; + if (value === undefined) return fallback; + if (typeof value !== "number" || !Number.isFinite(value)) { + throw new PourOverValidationError(`${key} must be a finite number`); + } + return value; +} + +function readNullableNumber(record: Record, key: string, fallback: number | null): number | null { + const value = record[key]; + if (value === undefined) return fallback; + if (value === null) return null; + if (typeof value !== "number" || !Number.isFinite(value)) { + throw new PourOverValidationError(`${key} must be a finite number or null`); + } + return value; +} + +function normalizeModePreferences(value: unknown, defaults: ModePreferences, label: string): ModePreferences { + const record = requireRecord(value === undefined ? {} : value, label); + return { + autoStart: readBoolean(record, "autoStart", defaults.autoStart), + bloomEnabled: readBoolean(record, "bloomEnabled", defaults.bloomEnabled), + bloomSeconds: readNumber(record, "bloomSeconds", defaults.bloomSeconds), + bloomWeightMultiplier: readNumber(record, "bloomWeightMultiplier", defaults.bloomWeightMultiplier), + machineIntegration: readBoolean(record, "machineIntegration", defaults.machineIntegration), + doseGrams: readNullableNumber(record, "doseGrams", defaults.doseGrams), + brewRatio: readNullableNumber(record, "brewRatio", defaults.brewRatio), + }; +} + +function normalizeRecipePreferences(value: unknown): RecipeModePreferences { + const record = requireRecord(value === undefined ? {} : value, "recipe"); + const progressionMode = record.progressionMode ?? RECIPE_DEFAULTS.progressionMode; + if (progressionMode !== "weight" && progressionMode !== "time") { + throw new PourOverValidationError("progressionMode must be weight or time"); + } + return { + machineIntegration: readBoolean(record, "machineIntegration", RECIPE_DEFAULTS.machineIntegration), + autoStart: readBoolean(record, "autoStart", RECIPE_DEFAULTS.autoStart), + progressionMode, + }; +} + +export function normalizePourOverPreferences(value: unknown): PourOverPreferences { + const defaults = createDefaultPreferences(); + if (value === undefined || value === null) return defaults; + const record = requireRecord(value, "pour-over preferences"); + return { + free: normalizeModePreferences(record.free, defaults.free, "free"), + ratio: normalizeModePreferences(record.ratio, defaults.ratio, "ratio"), + recipe: normalizeRecipePreferences(record.recipe), + }; +} + +const PREFS_KEY = "preferences"; + +function prefsRepo(platform: Platform): Repo { + return platform.storage.pourOverPrefs as Repo; +} + +export async function getPreferences(platform: Platform): Promise { + const stored = await prefsRepo(platform).read(PREFS_KEY); + return normalizePourOverPreferences(stored ?? undefined); +} + +export async function savePreferences(platform: Platform, value: unknown): Promise { + const normalized = normalizePourOverPreferences(value); + await prefsRepo(platform).write(PREFS_KEY, normalized); + return normalized; +} + +/** + * Route dispatcher. Returns a Response for a pour-over preferences route, or + * `null` if the request is not one (so the main handler can try other families). + */ +export async function handlePourOverRoutes(req: Request, platform: Platform): Promise { + const { pathname } = new URL(req.url); + if (pathname !== "/api/pour-over/preferences") return null; + + if (req.method === "GET") { + try { + return jsonResponse(await getPreferences(platform)); + } catch (err) { + const message = err instanceof PourOverValidationError ? err.message : "Failed to load pour-over preferences"; + return jsonResponse({ detail: message }, 500); + } + } + + if (req.method === "PUT") { + let body: unknown; + try { + body = await req.json(); + } catch { + return jsonResponse({ detail: "Invalid preferences" }, 400); + } + try { + return jsonResponse(await savePreferences(platform, body)); + } catch (err) { + if (err instanceof PourOverValidationError) { + return jsonResponse({ detail: "Invalid preferences" }, 400); + } + return jsonResponse({ detail: "Failed to save preferences" }, 500); + } + } + + return null; +} diff --git a/packages/core/test/contract/pourover.test.ts b/packages/core/test/contract/pourover.test.ts new file mode 100644 index 00000000..413851ae --- /dev/null +++ b/packages/core/test/contract/pourover.test.ts @@ -0,0 +1,90 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; + +const PATH = "/api/pour-over/preferences"; + +function get(): Request { + return new Request(`http://x${PATH}`); +} + +function put(body: unknown): Request { + return new Request(`http://x${PATH}`, { + method: "PUT", + headers: { "content-type": "application/json" }, + body: typeof body === "string" ? body : JSON.stringify(body), + }); +} + +const DEFAULT_MODE = { + autoStart: true, + bloomEnabled: true, + bloomSeconds: 30, + bloomWeightMultiplier: 2, + machineIntegration: false, + doseGrams: null, + brewRatio: null, +}; + +describe("pour-over preferences: GET defaults", () => { + test("returns per-mode defaults when nothing is stored (ratio defaults to 18g/15)", async () => { + const res = await handle(get(), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ + free: DEFAULT_MODE, + ratio: { ...DEFAULT_MODE, doseGrams: 18, brewRatio: 15 }, + recipe: { machineIntegration: false, autoStart: true, progressionMode: "weight" }, + }); + }); +}); + +describe("pour-over preferences: PUT + round-trip", () => { + test("normalizes, persists, and echoes; GET returns the saved values", async () => { + const p = makeMockPlatform(); + const saved = await handle( + put({ + free: { autoStart: false, doseGrams: 20 }, + ratio: { brewRatio: 16 }, + recipe: { progressionMode: "time" }, + }), + p, + ); + expect(saved.status).toBe(200); + const savedBody = await saved.json(); + expect(savedBody.free.autoStart).toBe(false); + expect(savedBody.free.doseGrams).toBe(20); + expect(savedBody.ratio.brewRatio).toBe(16); + expect(savedBody.recipe.progressionMode).toBe("time"); + // Unspecified keys fall back to defaults. + expect(savedBody.free.bloomSeconds).toBe(30); + + const fetched = await (await handle(get(), p)).json(); + expect(fetched).toEqual(savedBody); + }); + + test("unknown keys are dropped from the normalized result", async () => { + const res = await handle(put({ free: { bogus: 1, autoStart: false } }), makeMockPlatform()); + const body = await res.json(); + expect(body.free.bogus).toBeUndefined(); + expect(body.free.autoStart).toBe(false); + }); +}); + +describe("pour-over preferences: validation", () => { + test("rejects a wrong-typed field with 400 { detail: 'Invalid preferences' }", async () => { + const res = await handle(put({ free: { autoStart: "yes" } }), makeMockPlatform()); + expect(res.status).toBe(400); + expect(await res.json()).toEqual({ detail: "Invalid preferences" }); + }); + + test("rejects an invalid progressionMode with 400", async () => { + const res = await handle(put({ recipe: { progressionMode: "sideways" } }), makeMockPlatform()); + expect(res.status).toBe(400); + }); + + test("rejects invalid JSON with 400", async () => { + const res = await handle(put("{ not json"), makeMockPlatform()); + expect(res.status).toBe(400); + expect(await res.json()).toEqual({ detail: "Invalid preferences" }); + }); +}); From 6afdc7b25d159ee3f7d11c4fc0c479cf814f3a4f Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:34:17 +0200 Subject: [PATCH 13/62] feat(core): add AI provider seam + dial-in AI recommendations Add a PlatformAI seam (isConfigured/generateText/optional generateImage) to the core Platform interface, mirroring the frontend AIProvider so the browser Platform can delegate to the active provider in Phase 3. Wire a Gemini-backed PlatformAI into the Node platform via @google/genai, reading GEMINI_API_KEY/GEMINI_MODEL from the environment. Port the dial-in recommendation prompt builder to core and make the dial-in /recommend route AI-first: build the prompt, call the provider, strip markdown fences, parse JSON, cap at 6 recommendations (source "ai"); on any error or when unconfigured, fall back to the rule-based path (source "rules"). This matches the Python oracle and gives the native runtime AI dial-in recommendations once wired in Phase 3. Add scriptedAI/throwingAI/unconfiguredAI mock helpers and contract tests for the AI path plus a prompt-builder unit test. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/bun.lock | 73 +++++++++++++++ apps/bun-server/package.json | 1 + apps/bun-server/src/platform/node.ts | 51 +++++++++-- apps/bun-server/test/machineProxy.test.ts | 1 + packages/core/package.json | 1 + packages/core/src/platform.ts | 19 ++++ packages/core/src/routes/dialin.ts | 47 +++++++++- packages/core/src/routes/dialinPrompt.ts | 91 +++++++++++++++++++ packages/core/test/contract/dialin.test.ts | 64 ++++++++++++- .../core/test/contract/dialinPrompt.test.ts | 55 +++++++++++ packages/core/test/mockPlatform.ts | 35 ++++++- 11 files changed, 425 insertions(+), 13 deletions(-) create mode 100644 packages/core/src/routes/dialinPrompt.ts create mode 100644 packages/core/test/contract/dialinPrompt.test.ts diff --git a/apps/bun-server/bun.lock b/apps/bun-server/bun.lock index b114e4c4..f5cfaedd 100644 --- a/apps/bun-server/bun.lock +++ b/apps/bun-server/bun.lock @@ -5,6 +5,7 @@ "": { "name": "@metic/server", "dependencies": { + "@google/genai": "^1.52.0", "@metic/core": "file:../../packages/core", "socket.io-client": "^4.8.1", }, @@ -21,6 +22,8 @@ "@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-c95qOXkHdydNKhscBTebqEC1CVAZpyqOfVfBzQ1qgzyl3gfeldUjIggDbIZgDKsHLgnsM+igH7TJ/eAasaVuMA=="], + "@google/genai": ["@google/genai@1.52.0", "", { "dependencies": { "google-auth-library": "^10.3.0", "p-retry": "^4.6.2", "protobufjs": "^7.5.4", "ws": "^8.18.0" }, "peerDependencies": { "@modelcontextprotocol/sdk": "^1.25.2" }, "optionalPeers": ["@modelcontextprotocol/sdk"] }, "sha512-gwSvbpiN/17O9TbsqSsE/OzZcpv5Fo4RQjdngGgogtuB9RsyJ8ZHhX5KjHj1bp5N9snN2eK8LDGXSaWW2hof8Q=="], + "@jridgewell/sourcemap-codec": ["@jridgewell/sourcemap-codec@1.5.5", "", {}, "sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og=="], "@metic/core": ["@metic/core@file:../../packages/core", { "devDependencies": { "typescript": "^6.0.3", "vitest": "4.1.5" } }], @@ -29,6 +32,24 @@ "@oxc-project/types": ["@oxc-project/types@0.138.0", "", {}, "sha512-1a7ZKmrRTCoN1XMZ4L0PyyqrMnrNlLyPuOkdSX2MZg7IiIGRUyurNhAm73ptDOraoBcIordsIGKNPKUzy3ZmfA=="], + "@protobufjs/aspromise": ["@protobufjs/aspromise@1.1.2", "", {}, "sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ=="], + + "@protobufjs/base64": ["@protobufjs/base64@1.1.2", "", {}, "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg=="], + + "@protobufjs/codegen": ["@protobufjs/codegen@2.0.5", "", {}, "sha512-zgXFLzW3Ap33e6d0Wlj4MGIm6Ce8O89n/apUaGNB/jx+hw+ruWEp7EwGUshdLKVRCxZW12fp9r40E1mQrf/34g=="], + + "@protobufjs/eventemitter": ["@protobufjs/eventemitter@1.1.1", "", {}, "sha512-vW1GmwMZNnL+gMRaovlh9yZX74kc+TTU3FObkkurpMaRtBfLP3ldjS9KQWlwZgraRE0+dheEEoAxdzcJQ8eXZg=="], + + "@protobufjs/fetch": ["@protobufjs/fetch@1.1.1", "", { "dependencies": { "@protobufjs/aspromise": "^1.1.1" } }, "sha512-GpptLrs57adMSuHi3VNj0mAF8dwh36LMaYF6XyJ6JMWlVsc+t42tm1HSEDmOs3A8fC9yyeisgLhsTVQokOZ0zw=="], + + "@protobufjs/float": ["@protobufjs/float@1.0.2", "", {}, "sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ=="], + + "@protobufjs/path": ["@protobufjs/path@1.1.2", "", {}, "sha512-6JOcJ5Tm08dOHAbdR3GrvP+yUUfkjG5ePsHYczMFLq3ZmMkAD98cDgcT2iA1lJ9NVwFd4tH/iSSoe44YWkltEA=="], + + "@protobufjs/pool": ["@protobufjs/pool@1.1.0", "", {}, "sha512-0kELaGSIDBKvcgS4zkjz1PeddatrjYcmMWOlAuAPwAeccUrPHdUqo/J6LiymHHEiJT5NrF1UVwxY14f+fy4WQw=="], + + "@protobufjs/utf8": ["@protobufjs/utf8@1.1.2", "", {}, "sha512-b1UQwcEZ4yCnMCD8DAL1VlbvBJE9/IX4FTIp7BG1xYpf29SLazLSrqUkj4w7Y5y7cCVP6E5tcqqcI0xemPkHug=="], + "@rolldown/binding-android-arm64": ["@rolldown/binding-android-arm64@1.1.4", "", { "os": "android", "cpu": "arm64" }, "sha512-EZLpf/8y7GXkkra90ML47kzik/GMP3EMcE9bPyHmRfxLC6z9+aW5A8poCsoxjrT5GfEcNAAvWwUHjvP1pUQkfw=="], 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"sha512-ybx0WO1/8bSBLEWXZvEd7gMW3Sn3JFlW3TvX1nREbDLRNQNaeNN8WK0meBwPdAaOI7TtRRRJn/Es1zhrrCHu7g=="], "socket.io-client": ["socket.io-client@4.8.3", "", { "dependencies": { "@socket.io/component-emitter": "~3.1.0", "debug": "~4.4.1", "engine.io-client": "~6.6.1", "socket.io-parser": "~4.2.4" } }, "sha512-uP0bpjWrjQmUt5DTHq9RuoCBdFJF10cdX9X+a368j/Ft0wmaVgxlrjvK3kjvgCODOMMOz9lcaRzxmso0bTWZ/g=="], @@ -189,6 +260,8 @@ "vitest": ["vitest@4.1.5", "", { "dependencies": { "@vitest/expect": "4.1.5", "@vitest/mocker": "4.1.5", "@vitest/pretty-format": "4.1.5", "@vitest/runner": "4.1.5", "@vitest/snapshot": "4.1.5", "@vitest/spy": "4.1.5", "@vitest/utils": "4.1.5", "es-module-lexer": "^2.0.0", "expect-type": "^1.3.0", "magic-string": "^0.30.21", "obug": "^2.1.1", "pathe": "^2.0.3", "picomatch": "^4.0.3", "std-env": "^4.0.0-rc.1", "tinybench": "^2.9.0", "tinyexec": "^1.0.2", "tinyglobby": "^0.2.15", "tinyrainbow": "^3.1.0", "vite": "^6.0.0 || ^7.0.0 || ^8.0.0", "why-is-node-running": "^2.3.0" }, "peerDependencies": { "@edge-runtime/vm": "*", "@opentelemetry/api": "^1.9.0", "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0", "@vitest/browser-playwright": "4.1.5", "@vitest/browser-preview": "4.1.5", "@vitest/browser-webdriverio": "4.1.5", "@vitest/coverage-istanbul": "4.1.5", "@vitest/coverage-v8": "4.1.5", "@vitest/ui": "4.1.5", "happy-dom": "*", "jsdom": "*" }, "optionalPeers": ["@edge-runtime/vm", "@opentelemetry/api", "@types/node", "@vitest/browser-playwright", "@vitest/browser-preview", "@vitest/browser-webdriverio", "@vitest/coverage-istanbul", "@vitest/coverage-v8", "@vitest/ui", "happy-dom", "jsdom"], "bin": { "vitest": "vitest.mjs" } }, "sha512-9Xx1v3/ih3m9hN+SbfkUyy0JAs72ap3r7joc87XL6jwF0jGg6mFBvQ1SrwaX+h8BlkX6Hz9shdd1uo6AF+ZGpg=="], + "web-streams-polyfill": ["web-streams-polyfill@3.3.3", "", {}, "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw=="], + "why-is-node-running": ["why-is-node-running@2.3.0", "", { "dependencies": { "siginfo": "^2.0.0", "stackback": "0.0.2" }, "bin": { "why-is-node-running": "cli.js" } }, "sha512-hUrmaWBdVDcxvYqnyh09zunKzROWjbZTiNy8dBEjkS7ehEDQibXJ7XvlmtbwuTclUiIyN+CyXQD4Vmko8fNm8w=="], "ws": ["ws@8.21.0", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-Vsp28b7DRcimFQvrqu2Wek3z1iYxDCWqHYB8Qsnk/S4RfaCQzPGPyBNuVjJV3cd6UiKtUtp6sNM77gWvzcCH+g=="], diff --git a/apps/bun-server/package.json b/apps/bun-server/package.json index 44512faa..f6052710 100644 --- a/apps/bun-server/package.json +++ b/apps/bun-server/package.json @@ -13,6 +13,7 @@ "build": "bun build --compile --minify --sourcemap src/main.ts --outfile dist/metic-server" }, "dependencies": { + "@google/genai": "^1.52.0", "@metic/core": "file:../../packages/core", "socket.io-client": "^4.8.1" }, diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 53311a55..2628dd2d 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -11,8 +11,10 @@ import { mkdir, readFile, writeFile, readdir, unlink, rename } from "node:fs/promises"; import { existsSync } from "node:fs"; import { join, dirname } from "node:path"; +import { GoogleGenAI } from "@google/genai"; import type { Platform, + PlatformAI, Repo, Cache, BlobStore, @@ -222,6 +224,32 @@ function consoleLogger(): Logger { }; } +const DEFAULT_GEMINI_MODEL = "gemini-2.5-flash"; + +/** + * Gemini-backed PlatformAI. Mirrors the frontend GeminiProvider's generateText: + * a `models.generateContent({ model, contents, config })` call returning `{ text }`. + * A bare string prompt is accepted as `contents` (the SDK wraps it). + */ +function geminiAI(getConfig: () => AIConfig): PlatformAI { + return { + isConfigured() { + return !!getConfig().apiKey; + }, + async generateText(req) { + const { apiKey, model } = getConfig(); + if (!apiKey) throw new Error("AI not configured"); + const client = new GoogleGenAI({ apiKey }); + const response = await client.models.generateContent({ + model: model || DEFAULT_GEMINI_MODEL, + contents: req.contents as Parameters[0]["contents"], + ...(req.config ? { config: req.config as Record } : {}), + }); + return { text: (response as { text?: string }).text ?? "" }; + }, + }; +} + export interface NodePlatformOptions { /** Root directory for persisted JSON/blobs. Defaults to $DATA_DIR or ./data. */ dataDir?: string; @@ -251,6 +279,17 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform join(dataDir, "settings.json"), ); + const getAIConfig = (): AIConfig => { + // Env var takes precedence (container/12-factor); settings.json is the + // fallback so the UI-configured key keeps working without a restart. + const apiKey = (process.env.GEMINI_API_KEY ?? "").trim(); + return { + provider: "gemini", + apiKey, + model: process.env.GEMINI_MODEL?.trim() || undefined, + }; + }; + return { storage: { settings, @@ -263,20 +302,12 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform images: fsBlobStore(join(dataDir, "images")), }, secrets: { - getAIConfig(): AIConfig { - // Env var takes precedence (container/12-factor); settings.json is the - // fallback so the UI-configured key keeps working without a restart. - const apiKey = (process.env.GEMINI_API_KEY ?? "").trim(); - return { - provider: "gemini", - apiKey, - model: process.env.GEMINI_MODEL?.trim() || undefined, - }; - }, + getAIConfig, }, machine: { getBaseUrl: () => machineBaseUrl, }, + ai: geminiAI(getAIConfig), scheduler: timerScheduler(logger), clock, logger, diff --git a/apps/bun-server/test/machineProxy.test.ts b/apps/bun-server/test/machineProxy.test.ts index f4d9af75..24c91d74 100644 --- a/apps/bun-server/test/machineProxy.test.ts +++ b/apps/bun-server/test/machineProxy.test.ts @@ -7,6 +7,7 @@ function fakePlatform(baseUrl: string): Platform { storage: {} as Platform["storage"], secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "" }) }, machine: { getBaseUrl: () => baseUrl }, + ai: { isConfigured: () => false, generateText: async () => ({ text: "" }) }, clock: () => 0, logger: { info() {}, error() {}, debug() {} }, }; diff --git a/packages/core/package.json b/packages/core/package.json index 4b823a40..23c154b9 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -22,6 +22,7 @@ "./ai/prompts": "./src/ai/prompts.ts", "./routes/annotations": "./src/routes/annotations.ts", "./routes/dialin": "./src/routes/dialin.ts", + "./routes/dialinPrompt": "./src/routes/dialinPrompt.ts", "./routes/pourover": "./src/routes/pourover.ts" }, "scripts": { diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index 0bdfbfd5..5c562836 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -49,6 +49,23 @@ export interface AIConfig { model?: string; } +/** + * The AI text/image generation primitive, reached through the Platform so the + * core's AI orchestration (prompt building, response parsing) stays host-free. + * The request/response shape mirrors the frontend's AIProvider.generateText so + * the browser Platform can delegate straight to the active provider, while the + * Node Platform implements it against the Gemini SDK. + */ +export interface PlatformAI { + /** Whether a usable AI provider is configured (e.g. an API key is present). */ + isConfigured(): boolean; + /** Generate text from Gemini-style `contents` (a string prompt is accepted). */ + generateText(req: { contents: unknown; config?: unknown }): Promise<{ text: string }>; + /** Optional image generation; absent on hosts/providers without the capability. */ + generateImage?(prompt: string): Promise; +} + + export interface PlatformStorage { settings: Repo>; history: Repo; @@ -64,6 +81,8 @@ export interface Platform { storage: PlatformStorage; secrets: { getAIConfig(): AIConfig }; machine: { getBaseUrl(): string }; + /** AI text/image generation primitive. */ + ai: PlatformAI; /** Optional: hosts without a scheduler cause schedule routes to return 501. */ scheduler?: Scheduler; clock: () => number; diff --git a/packages/core/src/routes/dialin.ts b/packages/core/src/routes/dialin.ts index 6720d22c..f16cbf72 100644 --- a/packages/core/src/routes/dialin.ts +++ b/packages/core/src/routes/dialin.ts @@ -31,6 +31,7 @@ import type { Platform, Repo } from "../platform"; import { jsonResponse } from "../http"; import { safeRandomUUID } from "../logic/uuid"; +import { buildDialInRecommendationPrompt } from "./dialinPrompt"; export type DialInStatus = "active" | "completed" | "abandoned"; @@ -264,15 +265,59 @@ export function buildDialInRecommendations(taste: TasteFeedback): string[] { return recommendations; } +/** + * Strip a single leading/trailing markdown code fence from an AI response, + * matching the Python route's cleanup before JSON parsing. + */ +function stripCodeFence(text: string): string { + let cleaned = text.trim(); + if (cleaned.startsWith("```")) cleaned = cleaned.split("\n").slice(1).join("\n"); + if (cleaned.endsWith("```")) cleaned = cleaned.split("\n").slice(0, -1).join("\n"); + return cleaned; +} + +/** + * Generate recommendations for the latest iteration. Tries the AI provider + * first (when configured), parsing a `{ recommendations: [...] }` JSON object + * and storing up to 6 strings; on any failure or when AI is unavailable, falls + * back to the deterministic rule-based guidance. Mirrors the Python route. + */ export async function generateRecommendations( platform: Platform, sessionId: string, -): Promise<{ recommendations: string[]; source: "rules" }> { +): Promise<{ recommendations: string[]; source: "ai" | "rules" }> { const repo = sessionRepo(platform); const session = await repo.read(sessionId); if (!session) throw new DialInValidationError("Session not found", 404); if (!session.iterations.length) throw new DialInValidationError("No iterations to recommend from", 400); const latest = session.iterations[session.iterations.length - 1]!; + + if (platform.ai.isConfigured()) { + try { + const coffee = session.coffee ?? {}; + const prompt = buildDialInRecommendationPrompt({ + roastLevel: String(coffee.roast_level ?? ""), + origin: typeof coffee.origin === "string" ? coffee.origin : null, + process: typeof coffee.process === "string" ? coffee.process : null, + roastDate: typeof coffee.roast_date === "string" ? coffee.roast_date : null, + profileName: session.profile_name ?? null, + iterations: session.iterations, + }); + const { text } = await platform.ai.generateText({ contents: prompt }); + const data = JSON.parse(stripCodeFence(text ?? "")) as { recommendations?: unknown }; + const recommendations = data.recommendations; + if (Array.isArray(recommendations) && recommendations.length > 0) { + const recs = recommendations.slice(0, 6).map((r) => String(r)); + latest.recommendations = recs; + session.updated_at = isoNow(platform); + await repo.write(session.id, session); + return { recommendations: recs, source: "ai" }; + } + } catch (err) { + platform.logger.debug("Dial-in AI recommendation failed, falling back to rules", err); + } + } + latest.recommendations = buildDialInRecommendations(latest.taste); session.updated_at = isoNow(platform); await repo.write(session.id, session); diff --git a/packages/core/src/routes/dialinPrompt.ts b/packages/core/src/routes/dialinPrompt.ts new file mode 100644 index 00000000..14473f85 --- /dev/null +++ b/packages/core/src/routes/dialinPrompt.ts @@ -0,0 +1,91 @@ +/** + * Dial-in recommendation prompt builder. + * + * Straight port of `build_dialin_recommendation_prompt` + + * `_describe_axis_value` from apps/server/prompt_builder.py, used by the + * dial-in `/recommend` route's AI path. Kept as its own module so it can be + * unit-tested and reused by the browser Platform in Phase 3. + */ + +import type { DialInIteration } from "./dialin"; + +/** Convert a -1..1 axis value to a human-readable description. */ +export function describeAxisValue(value: number, negativeLabel: string, positiveLabel: string): string { + const absVal = Math.abs(value); + if (absVal < 0.15) return "Balanced"; + let intensity: string; + if (absVal < 0.4) intensity = "Slightly"; + else if (absVal < 0.7) intensity = "Moderately"; + else intensity = "Very"; + const direction = value > 0 ? positiveLabel : negativeLabel; + return `${intensity} ${direction}`; +} + +export interface DialInPromptInput { + roastLevel: string; + origin?: string | null; + process?: string | null; + roastDate?: string | null; + profileName?: string | null; + iterations: DialInIteration[]; +} + +/** + * Build a prompt asking the AI for dial-in adjustment recommendations. Mirrors + * the Python builder line-for-line so responses are identical across runtimes. + */ +export function buildDialInRecommendationPrompt(input: DialInPromptInput): string { + const { roastLevel, origin, process, roastDate, profileName, iterations } = input; + const lines: string[] = [ + "# Espresso Dial-In Recommendation", + "", + "You are an expert barista helping the user dial in a new bag of coffee.", + "Analyse the coffee details and all taste-feedback iterations below,", + "then provide **concrete, actionable** adjustment recommendations.", + "", + "## Coffee Details", + `- Roast level: ${roastLevel}`, + ]; + + if (origin) lines.push(`- Origin: ${origin}`); + if (process) lines.push(`- Process: ${process}`); + if (roastDate) lines.push(`- Roast date: ${roastDate}`); + if (profileName) lines.push(`- Profile: ${profileName}`); + + if (iterations.length > 0) { + lines.push(""); + lines.push("## Taste Iteration History"); + for (const it of iterations) { + const taste = it.taste; + const num = it.iteration_number ?? "?"; + const x = taste?.x ?? 0; + const y = taste?.y ?? 0; + const balanceDesc = describeAxisValue(x, "Sour", "Bitter"); + const bodyDesc = describeAxisValue(y, "Weak/Thin", "Strong/Heavy"); + lines.push(`### Iteration ${num}`); + lines.push(`- Balance: ${balanceDesc} (X: ${x.toFixed(2)})`); + lines.push(`- Body: ${bodyDesc} (Y: ${y.toFixed(2)})`); + const descriptors = taste?.descriptors ?? []; + if (descriptors.length > 0) lines.push(`- Descriptors: ${descriptors.join(", ")}`); + const notes = taste?.notes; + if (notes) lines.push(`- Notes: ${notes}`); + const prevRecs = it.recommendations ?? []; + if (prevRecs.length > 0) lines.push(`- Previous recommendations: ${prevRecs.join("; ")}`); + } + } + + lines.push(""); + lines.push("## Instructions"); + lines.push("Return a JSON object with a single key `recommendations` whose value is"); + lines.push("an array of short, actionable recommendation strings (max 6)."); + lines.push("Each recommendation should be a single sentence describing one specific"); + lines.push("adjustment (e.g. 'Grind 2 steps finer', 'Reduce dose by 0.5 g')."); + lines.push("Consider the full iteration history to track progress and avoid repeating"); + lines.push("adjustments that did not help. Base your reasoning on extraction science:"); + lines.push("- Sour → under-extracted → finer grind, higher temp, longer pre-infusion"); + lines.push("- Bitter → over-extracted → coarser grind, lower temp, shorter contact"); + lines.push("- Weak → increase dose or decrease yield"); + lines.push("- Strong → decrease dose or increase yield"); + + return lines.join("\n"); +} diff --git a/packages/core/test/contract/dialin.test.ts b/packages/core/test/contract/dialin.test.ts index 790c89c8..53242447 100644 --- a/packages/core/test/contract/dialin.test.ts +++ b/packages/core/test/contract/dialin.test.ts @@ -1,5 +1,5 @@ import { describe, test, expect } from "vitest"; -import { makeMockPlatform } from "../mockPlatform"; +import { makeMockPlatform, scriptedAI, throwingAI } from "../mockPlatform"; import { handle } from "../../src/handler"; import type { Platform } from "../../src/platform"; @@ -189,6 +189,68 @@ describe("dial-in: rule-based recommendations", () => { }); }); +describe("dial-in: AI-backed recommendations", () => { + async function seededSession(p: Platform): Promise { + const s = await createSession(p); + await handle(req("POST", `${SESSIONS}/${s.id}/iterations`, { taste: { x: -0.5, y: -0.5 } }), p); + return s.id as string; + } + + test("uses the AI provider when configured and returns source 'ai'", async () => { + const p = makeMockPlatform({ + ai: scriptedAI(JSON.stringify({ recommendations: ["Grind 2 steps finer", "Raise temp 1C"] })), + }); + const id = await seededSession(p); + const res = await handle(req("POST", `${SESSIONS}/${id}/recommend`), p); + const body = await res.json(); + expect(body.source).toBe("ai"); + expect(body.recommendations).toEqual(["Grind 2 steps finer", "Raise temp 1C"]); + + const session = await (await handle(req("GET", `${SESSIONS}/${id}`), p)).json(); + expect(session.iterations[0].recommendations).toEqual(body.recommendations); + }); + + test("parses a markdown-fenced JSON response and caps at 6 items", async () => { + const seven = Array.from({ length: 7 }, (_, i) => `rec ${i + 1}`); + const fenced = "```json\n" + JSON.stringify({ recommendations: seven }) + "\n```"; + const p = makeMockPlatform({ ai: scriptedAI(fenced) }); + const id = await seededSession(p); + const res = await handle(req("POST", `${SESSIONS}/${id}/recommend`), p); + const body = await res.json(); + expect(body.source).toBe("ai"); + expect(body.recommendations).toHaveLength(6); + expect(body.recommendations[0]).toBe("rec 1"); + }); + + test("falls back to rules when the AI returns an empty list", async () => { + const p = makeMockPlatform({ ai: scriptedAI(JSON.stringify({ recommendations: [] })) }); + const id = await seededSession(p); + const res = await handle(req("POST", `${SESSIONS}/${id}/recommend`), p); + const body = await res.json(); + expect(body.source).toBe("rules"); + expect(body.recommendations).toEqual([ + "Grind finer (2-3 steps)", + "Increase temperature by 1-2°C", + "Increase dose by 0.3-0.5g", + ]); + }); + + test("falls back to rules when the AI throws", async () => { + const p = makeMockPlatform({ ai: throwingAI("provider down") }); + const id = await seededSession(p); + const res = await handle(req("POST", `${SESSIONS}/${id}/recommend`), p); + const body = await res.json(); + expect(body.source).toBe("rules"); + }); + + test("falls back to rules when the AI returns non-JSON", async () => { + const p = makeMockPlatform({ ai: scriptedAI("sorry, I cannot help with that") }); + const id = await seededSession(p); + const res = await handle(req("POST", `${SESSIONS}/${id}/recommend`), p); + expect((await res.json()).source).toBe("rules"); + }); +}); + describe("dial-in: lifecycle", () => { test("completes a session", async () => { const p = makeMockPlatform(); diff --git a/packages/core/test/contract/dialinPrompt.test.ts b/packages/core/test/contract/dialinPrompt.test.ts new file mode 100644 index 00000000..b249a236 --- /dev/null +++ b/packages/core/test/contract/dialinPrompt.test.ts @@ -0,0 +1,55 @@ +import { describe, test, expect } from "vitest"; +import { buildDialInRecommendationPrompt, describeAxisValue } from "../../src/routes/dialinPrompt"; +import type { DialInIteration } from "../../src/routes/dialin"; + +describe("describeAxisValue", () => { + test("returns Balanced within the deadzone", () => { + expect(describeAxisValue(0, "Sour", "Bitter")).toBe("Balanced"); + expect(describeAxisValue(0.1, "Sour", "Bitter")).toBe("Balanced"); + expect(describeAxisValue(-0.14, "Sour", "Bitter")).toBe("Balanced"); + }); + + test("scales intensity and picks direction by sign", () => { + expect(describeAxisValue(0.3, "Sour", "Bitter")).toBe("Slightly Bitter"); + expect(describeAxisValue(-0.5, "Sour", "Bitter")).toBe("Moderately Sour"); + expect(describeAxisValue(0.9, "Weak/Thin", "Strong/Heavy")).toBe("Very Strong/Heavy"); + }); +}); + +describe("buildDialInRecommendationPrompt", () => { + const iteration: DialInIteration = { + iteration_number: 1, + taste: { x: -0.5, y: 0.3, descriptors: ["citrus", "tea"], notes: "bright" }, + recommendations: ["Grind finer"], + timestamp: "2024-01-01T00:00:00.000Z", + }; + + test("includes coffee details, optional fields, and iteration history", () => { + const prompt = buildDialInRecommendationPrompt({ + roastLevel: "medium", + origin: "Ethiopia", + process: "washed", + roastDate: "2024-01-01", + profileName: "Blossom", + iterations: [iteration], + }); + expect(prompt).toContain("- Roast level: medium"); + expect(prompt).toContain("- Origin: Ethiopia"); + expect(prompt).toContain("- Process: washed"); + expect(prompt).toContain("- Profile: Blossom"); + expect(prompt).toContain("### Iteration 1"); + expect(prompt).toContain("- Balance: Moderately Sour (X: -0.50)"); + expect(prompt).toContain("- Body: Slightly Strong/Heavy (Y: 0.30)"); + expect(prompt).toContain("- Descriptors: citrus, tea"); + expect(prompt).toContain("- Notes: bright"); + expect(prompt).toContain("- Previous recommendations: Grind finer"); + expect(prompt).toContain("`recommendations`"); + }); + + test("omits optional lines and the history section when absent", () => { + const prompt = buildDialInRecommendationPrompt({ roastLevel: "dark", iterations: [] }); + expect(prompt).toContain("- Roast level: dark"); + expect(prompt).not.toContain("- Origin:"); + expect(prompt).not.toContain("## Taste Iteration History"); + }); +}); diff --git a/packages/core/test/mockPlatform.ts b/packages/core/test/mockPlatform.ts index 15f89dc0..84d5b7a0 100644 --- a/packages/core/test/mockPlatform.ts +++ b/packages/core/test/mockPlatform.ts @@ -1,4 +1,4 @@ -import type { Platform, Repo, Cache, BlobStore } from "../src/platform"; +import type { Platform, Repo, Cache, BlobStore, PlatformAI } from "../src/platform"; /** In-memory Repo backing the mock Platform. */ function memRepo(): Repo { @@ -41,6 +41,38 @@ function memBlobStore(): BlobStore { }; } +/** + * Default mock AI: not configured, so route families that consult AI fall back + * to their non-AI path. Tests exercising an AI path pass a configured `ai` + * override (see `scriptedAI`). + */ +function unconfiguredAI(): PlatformAI { + return { + isConfigured: () => false, + generateText: async () => { + throw new Error("AI not configured"); + }, + }; +} + +/** A configured mock AI that returns a scripted text response. */ +export function scriptedAI(text: string): PlatformAI { + return { + isConfigured: () => true, + generateText: async () => ({ text }), + }; +} + +/** A configured mock AI whose generateText always throws (to test fallbacks). */ +export function throwingAI(message = "boom"): PlatformAI { + return { + isConfigured: () => true, + generateText: async () => { + throw new Error(message); + }, + }; +} + /** * A fully in-memory Platform for contract tests. Every route family's * behaviour is verified against this double so the frozen `/api/*` contract is @@ -60,6 +92,7 @@ export function makeMockPlatform(overrides: Partial = {}): Platform { }, secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "test" }) }, machine: { getBaseUrl: () => "http://machine.test:8080" }, + ai: unconfiguredAI(), clock: () => 0, logger: { info() {}, error() {}, debug() {} }, ...overrides, From 77f0aac2f3500f6b0cdb1f53b880ca39e5480033 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:46:37 +0200 Subject: [PATCH 14/62] feat(core): add machine.fetch seam to the Platform Extend the Platform's machine seam with a fetch(path, init?) method so core routes can read machine state (shot history, profiles) uniformly across hosts. The Node platform joins relative paths onto the resolved base URL and fetches server-side; the browser platform will fetch over the LAN in Phase 3. Add scriptedMachine/unwiredMachine mock helpers for contract tests and cover the Node URL-join + unconfigured-rejection behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 9 +++++ apps/bun-server/test/machineProxy.test.ts | 2 +- apps/bun-server/test/node-platform.test.ts | 23 +++++++++++++ packages/core/src/platform.ts | 11 +++++- packages/core/test/mockPlatform.ts | 39 +++++++++++++++++++++- 5 files changed, 81 insertions(+), 3 deletions(-) diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 2628dd2d..acddce1d 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -306,6 +306,15 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform }, machine: { getBaseUrl: () => machineBaseUrl, + fetch: (path: string, init?: RequestInit) => { + if (!machineBaseUrl) { + return Promise.reject(new Error("Machine base URL is not configured")); + } + const url = path.startsWith("http") + ? path + : `${machineBaseUrl}${path.startsWith("/") ? path : `/${path}`}`; + return fetch(url, init); + }, }, ai: geminiAI(getAIConfig), scheduler: timerScheduler(logger), diff --git a/apps/bun-server/test/machineProxy.test.ts b/apps/bun-server/test/machineProxy.test.ts index 24c91d74..e2ed2b49 100644 --- a/apps/bun-server/test/machineProxy.test.ts +++ b/apps/bun-server/test/machineProxy.test.ts @@ -6,7 +6,7 @@ function fakePlatform(baseUrl: string): Platform { return { storage: {} as Platform["storage"], secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "" }) }, - machine: { getBaseUrl: () => baseUrl }, + machine: { getBaseUrl: () => baseUrl, fetch: async () => new Response(null) }, ai: { isConfigured: () => false, generateText: async () => ({ text: "" }) }, clock: () => 0, logger: { info() {}, error() {}, debug() {} }, diff --git a/apps/bun-server/test/node-platform.test.ts b/apps/bun-server/test/node-platform.test.ts index 16bc5271..37cd8bcb 100644 --- a/apps/bun-server/test/node-platform.test.ts +++ b/apps/bun-server/test/node-platform.test.ts @@ -110,6 +110,29 @@ describe("createNodePlatform machine url", () => { const p = createNodePlatform({ machineBaseUrl: "http://machine:8080/", dataDir: "/tmp/x" }); expect(p.machine.getBaseUrl()).toBe("http://machine:8080"); }); + + test("fetch joins a relative path onto the base URL", async () => { + const p = createNodePlatform({ machineBaseUrl: "http://machine:8080", dataDir: "/tmp/x" }); + const prev = globalThis.fetch; + let seen = ""; + globalThis.fetch = (async (url: string | URL | Request) => { + seen = String(url); + return new Response("{}"); + }) as typeof fetch; + try { + await p.machine.fetch("/api/v1/history"); + expect(seen).toBe("http://machine:8080/api/v1/history"); + await p.machine.fetch("api/v1/profile/list"); + expect(seen).toBe("http://machine:8080/api/v1/profile/list"); + } finally { + globalThis.fetch = prev; + } + }); + + test("fetch rejects when the machine URL is not configured", async () => { + const p = createNodePlatform({ machineBaseUrl: undefined, dataDir: "/tmp/x" }); + await expect(p.machine.fetch("/api/v1/history")).rejects.toThrow(); + }); }); describe("createNodePlatform secrets", () => { diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index 5c562836..e25a064b 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -80,7 +80,16 @@ export interface PlatformStorage { export interface Platform { storage: PlatformStorage; secrets: { getAIConfig(): AIConfig }; - machine: { getBaseUrl(): string }; + machine: { + getBaseUrl(): string; + /** + * Fetch a path on the espresso machine's HTTP API. `path` is joined to the + * resolved base URL (e.g. "/api/v1/history"). Lets core routes read machine + * state (shot history, profiles) uniformly across hosts: the Node platform + * fetches server-side, the browser platform fetches over the LAN. + */ + fetch(path: string, init?: RequestInit): Promise; + }; /** AI text/image generation primitive. */ ai: PlatformAI; /** Optional: hosts without a scheduler cause schedule routes to return 501. */ diff --git a/packages/core/test/mockPlatform.ts b/packages/core/test/mockPlatform.ts index 84d5b7a0..96ec6c34 100644 --- a/packages/core/test/mockPlatform.ts +++ b/packages/core/test/mockPlatform.ts @@ -73,6 +73,43 @@ export function throwingAI(message = "boom"): PlatformAI { }; } +/** The machine seam of the mock Platform. */ +type MockMachine = Platform["machine"]; + +/** Default mock machine: getBaseUrl is fixed, fetch rejects (no machine wired). */ +function unwiredMachine(): MockMachine { + return { + getBaseUrl: () => "http://machine.test:8080", + fetch: async () => { + throw new Error("Machine not available"); + }, + }; +} + +/** + * A mock machine whose fetch resolves canned JSON per path. `routes` maps a + * request path (matched by `pathname`, ignoring query + base URL) to the JSON + * body to return; unmatched paths resolve to a 404. + */ +export function scriptedMachine(routes: Record): MockMachine { + return { + getBaseUrl: () => "http://machine.test:8080", + fetch: async (path: string) => { + const pathname = path.startsWith("http") ? new URL(path).pathname : path.split("?")[0]; + if (pathname in routes) { + return new Response(JSON.stringify(routes[pathname]), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + return new Response(JSON.stringify({ detail: "not found" }), { + status: 404, + headers: { "content-type": "application/json" }, + }); + }, + }; +} + /** * A fully in-memory Platform for contract tests. Every route family's * behaviour is verified against this double so the frozen `/api/*` contract is @@ -91,7 +128,7 @@ export function makeMockPlatform(overrides: Partial = {}): Platform { images: memBlobStore(), }, secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "test" }) }, - machine: { getBaseUrl: () => "http://machine.test:8080" }, + machine: unwiredMachine(), ai: unconfiguredAI(), clock: () => 0, logger: { info() {}, error() {}, debug() {} }, From b5cce58546818aed48eec34ef7c09663dabc70e0 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:46:53 +0200 Subject: [PATCH 15/62] feat(core): port shot-analysis pure logic into the core package Port the shot-analysis building blocks from the native DirectModeInterceptor into @metic/core so both runtimes share one implementation: - computeRichLocalAnalysis (structured local shot analysis) + its helpers - parseRecommendationsJson / isActionableRecommendation / isRecommendationPatchable / termMatches (RECOMMENDATIONS_JSON extraction) - buildAnalyzeLlmPrompt and the PROFILING_KNOWLEDGE constant it needs The ports are byte-identical (prompts) or logic-identical (analysis) to the native source, reusing the already-ported buildShotFacts. Add contract tests for the analysis output shape and the recommendation parsing/patchability rules. These modules back the shot-analysis routes ported next. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/package.json | 3 + packages/core/src/ai/profilePromptFull.ts | 52 ++ .../core/src/logic/recommendationsParse.ts | 49 ++ packages/core/src/logic/shotAnalysis.ts | 562 ++++++++++++++++++ packages/core/src/routes/analyzeLlmPrompt.ts | 141 +++++ .../contract/recommendationsParse.test.ts | 93 +++ .../core/test/contract/shotAnalysis.test.ts | 158 +++++ 7 files changed, 1058 insertions(+) create mode 100644 packages/core/src/ai/profilePromptFull.ts create mode 100644 packages/core/src/logic/recommendationsParse.ts create mode 100644 packages/core/src/logic/shotAnalysis.ts create mode 100644 packages/core/src/routes/analyzeLlmPrompt.ts create mode 100644 packages/core/test/contract/recommendationsParse.test.ts create mode 100644 packages/core/test/contract/shotAnalysis.test.ts diff --git a/packages/core/package.json b/packages/core/package.json index 23c154b9..12eed04e 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -11,18 +11,21 @@ "./logic/compass": "./src/logic/compass.ts", "./logic/analysisSchema": "./src/logic/analysisSchema.ts", "./logic/shotFacts": "./src/logic/shotFacts.ts", + "./logic/shotAnalysis": "./src/logic/shotAnalysis.ts", "./logic/analysisLint": "./src/logic/analysisLint.ts", "./logic/uuid": "./src/logic/uuid.ts", "./logic/decentConverter": "./src/logic/decentConverter.ts", "./logic/tags": "./src/logic/tags.ts", "./logic/profileAnalysis": "./src/logic/profileAnalysis.ts", "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts", + "./logic/recommendationsParse": "./src/logic/recommendationsParse.ts", "./ai/aiErrors": "./src/ai/aiErrors.ts", "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", "./ai/prompts": "./src/ai/prompts.ts", "./routes/annotations": "./src/routes/annotations.ts", "./routes/dialin": "./src/routes/dialin.ts", "./routes/dialinPrompt": "./src/routes/dialinPrompt.ts", + "./routes/analyzeLlmPrompt": "./src/routes/analyzeLlmPrompt.ts", "./routes/pourover": "./src/routes/pourover.ts" }, "scripts": { diff --git a/packages/core/src/ai/profilePromptFull.ts b/packages/core/src/ai/profilePromptFull.ts new file mode 100644 index 00000000..2e32bbcd --- /dev/null +++ b/packages/core/src/ai/profilePromptFull.ts @@ -0,0 +1,52 @@ +export const PROFILING_KNOWLEDGE = `ESPRESSO PROFILING GUIDE: + +## Core Concepts +- Flow Rate: Higher = acidity/clarity, Lower = body/sweetness +- Pressure: Creates texture/mouthfeel/crema. High pressure risks channeling +- Temperature: Light roasts 92-96°C, Medium 90-93°C, Dark 82-90°C + +## Four-Phase Structure +1. **Pre-infusion**: Flow 2-4 ml/s, pressure limit ~2 bar +2. **Bloom** (optional): Zero flow, 0.5-1.5 bar, 5-30s for fresh coffee +3. **Infusion**: Ramp to 6-9 bar pressure or 1.5-3 ml/s flow +4. **Taper**: Decline pressure/flow over final 20-30% of yield + +## Blueprints +- **Classic Lever** (medium-dark): Pre-infuse→9 bar→taper 9→5 bar. Ratio 1:2 +- **Turbo** (light): Pre-infuse→6 bar→taper 6→3 bar. Ratio 1:3. Fast, bright +- **Allongé/Soup** (very light): Pre-wet→high flow 8 ml/s. Ratio 1:4. Tea-like +- **Bloom & Extract** (very fresh): Pre-infuse→20s bloom→8 bar→taper 8→4 bar + +## Troubleshooting +- Sour/thin → increase pressure, extend extraction, raise temp +- Bitter/astringent → lower pressure, taper earlier, lower temp +- Gushing → grind finer, reduce pre-infusion flow +- Choking → grind coarser, add bloom, increase initial pressure + +## Control Strategy +- Flow-controlled: Adapts to puck resistance, forgiving +- Pressure-controlled: Traditional, needs precise grind +- Hybrid (recommended): Pressure + flow limits, or flow + pressure limits + +## Best Practices +- Gentle pressure ramps (3-4s) prevent channeling +- Keep profiles to 3-4 stages (5-6 max) +- Pre-infusion: 5-10% of yield. Infusion: 60-75%. Taper: 20-30% +- Multiple exit triggers (primary + time backup) for safety +- dynamics points x-axis ALWAYS relative to stage start + +## Pre-infusion Saturation Rules (#420) — use NATIVE machine triggers +The machine only honors native exit trigger types ("weight", "pressure", "flow", "time"). Implement the intent below with those native types — do NOT emit app-only pseudo triggers. +- Dose/water correlation → native WEIGHT trigger: a puck needs ~2× its dose in water to fully saturate (18g dose → ~36ml). Add a weight exit trigger at value ≈ 2 × dose (">=") computed from the actual dose. +- Pressure rise → native PRESSURE trigger: as the puck saturates, pressure climbs — add a pressure exit trigger at a low threshold (~2 bar, ">="). +- Always pair both with a native TIME safety backup; whichever fires first ends pre-infusion. + +## Anti-Patterns +❌ Single exit trigger without time backup +❌ Exact match triggers — use >= comparison +❌ >5-6 stages — overcomplicated +❌ No safety timeouts +❌ Sudden pressure jumps — use 3+ second ramps +❌ Recommending weight exit triggers for the overall profile or final stage — all Meticulous profiles already have an automatic weight-based exit trigger handled by the machine firmware + +` diff --git a/packages/core/src/logic/recommendationsParse.ts b/packages/core/src/logic/recommendationsParse.ts new file mode 100644 index 00000000..5eb633b9 --- /dev/null +++ b/packages/core/src/logic/recommendationsParse.ts @@ -0,0 +1,49 @@ +function isRecord(value: unknown): value is Record { + return typeof value === 'object' && value !== null && !Array.isArray(value) +} + +function normalizeTerm(value: string): string { + return value.toLowerCase().replace(/[^a-z0-9]+/g, ' ').trim() +} + +export function termMatches(query: string, candidate: string): boolean { + const queryTerm = normalizeTerm(query) + const candidateTerm = normalizeTerm(candidate) + if (!queryTerm || !candidateTerm) return false + return candidateTerm.includes(queryTerm) || queryTerm.includes(candidateTerm) +} + +export function parseRecommendationsJson(analysisText: string): Array> { + const match = analysisText.match(/RECOMMENDATIONS_JSON:\s*\n\s*(\[[\s\S]*?\])\s*\n\s*END_RECOMMENDATIONS_JSON/) + if (!match) return [] + try { + const parsed = JSON.parse(match[1]) + return Array.isArray(parsed) ? parsed.filter(isRecord).filter(isActionableRecommendation) : [] + } catch { + return [] + } +} + +export function isActionableRecommendation(rec: Record): boolean { + if (String(rec.variable ?? '').trim() === '') return false + for (const key of ['current_value', 'recommended_value'] as const) { + const raw = rec[key] + if (raw === undefined || raw === null) continue + if (!Number.isFinite(Number(raw))) return false + } + return true +} + +export function isRecommendationPatchable(recommendation: Record, variables: Array>): boolean { + const variable = String(recommendation.variable ?? '') + const stage = String(recommendation.stage ?? '') + if (stage === 'global' && (variable === 'temperature' || variable === 'final_weight')) return true + if (['exit_weight', 'exit_time', 'exit_pressure', 'exit_flow', 'exit_volume', 'limit_pressure', 'limit_flow', 'limit_weight'].includes(variable) && stage && stage !== 'global') return true + const profileVariable = variables.find((item) => item.key === variable) ?? variables.find((item) => ( + termMatches(variable, String(item.key ?? '')) || termMatches(variable, String(item.name ?? '')) + )) + if (!profileVariable) return true + if (String(profileVariable.key ?? '').startsWith('info_')) return false + if (profileVariable.adjustable === false) return false + return true +} diff --git a/packages/core/src/logic/shotAnalysis.ts b/packages/core/src/logic/shotAnalysis.ts new file mode 100644 index 00000000..e57ce004 --- /dev/null +++ b/packages/core/src/logic/shotAnalysis.ts @@ -0,0 +1,562 @@ +import { buildShotFacts } from './shotFacts' + +interface CachedProfile { + id?: string + name?: string + change_id?: string + author?: string + temperature?: number + final_weight?: number + variables?: Array> + stages?: Array> + display?: { image?: string; description?: string; shortDescription?: string; accentColor?: string } + [key: string]: unknown +} + +export type HistStage = { name: string; type: string; key?: string; dynamics?: any; dynamics_points?: any; dynamics_over?: any; exit_triggers?: any[]; limits?: any[] } +export type HistVar = { key: string; name: string; type: string; value: number; adjustable?: boolean } +export type HistEntry = { + id: string; time: number; name: string; file?: string; + profile?: { name?: string; final_weight?: number; temperature?: number; stages?: HistStage[]; variables?: HistVar[] }; + data?: { shot?: { pressure?: number; flow?: number; weight?: number; gravimetric_flow?: number }; time?: number; profile_time?: number; status?: string }[]; +} + +function isRecord(value: unknown): value is Record { + return typeof value === 'object' && value !== null && !Array.isArray(value) +} + +function safeNumber(value: unknown, fallback = 0): number { + const numberValue = Number(value) + return Number.isFinite(numberValue) ? numberValue : fallback +} + +function resolveProfileValue(value: unknown, variables: Array>): number { + if (typeof value === 'string' && value.startsWith('$')) { + const key = value.slice(1) + const variable = variables.find((item) => item.key === key || item.name === key) + return safeNumber(variable?.value) + } + return safeNumber(value) +} + +function meanDynamicsTarget( + stageType: string, + points: unknown, + variables: Array>, +): number | null { + if (stageType !== 'pressure' && stageType !== 'flow') return null + if (!Array.isArray(points)) return null + const values: number[] = [] + for (const point of points) { + if (!Array.isArray(point) || point.length === 0) continue + const raw = point.length > 1 ? point[1] : point[0] + let resolved: unknown = raw + if (typeof raw === 'string' && raw.startsWith('$')) { + const key = raw.slice(1) + const variable = variables.find((item) => item.key === key || item.name === key) + resolved = variable?.value + } + const num = typeof resolved === 'number' ? resolved : Number(resolved) + if (Number.isFinite(num)) values.push(num) + } + if (values.length === 0) return null + return Math.round((values.reduce((a, b) => a + b, 0) / values.length) * 100) / 100 +} + +function maxDynamicsTarget( + stageType: string, + points: unknown, + variables: Array>, +): number | null { + if (stageType !== 'pressure' && stageType !== 'flow') return null + if (!Array.isArray(points)) return null + const values: number[] = [] + for (const point of points) { + if (!Array.isArray(point) || point.length === 0) continue + const raw = point.length > 1 ? point[1] : point[0] + let resolved: unknown = raw + if (typeof raw === 'string' && raw.startsWith('$')) { + const key = raw.slice(1) + const variable = variables.find((item) => item.key === key || item.name === key) + resolved = variable?.value + } + const num = typeof resolved === 'number' ? resolved : Number(resolved) + if (Number.isFinite(num)) values.push(num) + } + if (values.length === 0) return null + return Math.round(Math.max(...values) * 100) / 100 +} + +function buildTimeBasedCurvePoints( + points: unknown[], + variables: Array>, + stageName: string, + key: string, + stageStart: number, + stageEnd: number, +): Array> { + const stageDuration = stageEnd - stageStart + const result: Array> = [] + let prevT: number | null = null + let prevV: number | null = null + let lastT: number | null = null + let lastV: number | null = null + + for (const point of points) { + if (!Array.isArray(point)) continue + const dpT = safeNumber(point[0]) + const dpV = resolveProfileValue(point[1] ?? point[0], variables) + + if (dpT > stageDuration) { + let boundaryV = dpV + if (prevT !== null && prevV !== null && dpT > prevT) { + const frac = (stageDuration - prevT) / (dpT - prevT) + boundaryV = prevV + (dpV - prevV) * frac + } + result.push({ + time: Number(stageEnd.toFixed(2)), + stage_name: stageName, + [key]: Math.round(boundaryV * 10) / 10, + }) + return result + } + + result.push({ + time: Number((stageStart + dpT).toFixed(2)), + stage_name: stageName, + [key]: Math.round(dpV * 10) / 10, + }) + prevT = dpT + prevV = dpV + lastT = dpT + lastV = dpV + } + + if (lastT !== null && lastV !== null && lastT < stageDuration - 1e-6) { + result.push({ + time: Number(stageEnd.toFixed(2)), + stage_name: stageName, + [key]: Math.round(lastV * 10) / 10, + }) + } + + return result +} + +function generateShotAlignedTargetCurves( + profile: CachedProfile, + shotStages: Map, + shotDataEntries?: Array>, +): Array> { + const stages = profile.stages ?? [] + const variables = profile.variables ?? [] + const curves: Array> = [] + + const stageWeightToTime = new Map>() + if (shotDataEntries) { + for (const entry of shotDataEntries) { + const status = String((entry as Record).status ?? '').trim().toLowerCase() + if (!status || status === 'retracting') continue + const timeSec = safeNumber((entry as Record).time) / 1000 + const shot = (entry as Record>).shot ?? {} + const weight = safeNumber(shot.weight) + if (!stageWeightToTime.has(status)) stageWeightToTime.set(status, []) + stageWeightToTime.get(status)!.push([weight, timeSec]) + } + } + + for (const stage of stages) { + const stageName = typeof stage.name === 'string' ? stage.name : '' + const stageType = typeof stage.type === 'string' ? stage.type : 'flow' + const dynamics = isRecord(stage.dynamics) ? stage.dynamics : {} + const points = Array.isArray(stage.dynamics_points) + ? stage.dynamics_points + : Array.isArray(dynamics.points) + ? dynamics.points + : [] + if (points.length === 0) continue + + let timing: { startTime: number; endTime: number } | undefined + const stageKey = (typeof stage.key === 'string' ? stage.key : '').toLowerCase().trim() + const stageNameLower = stageName.toLowerCase().trim() + for (const [shotStageName, t] of shotStages) { + const normalised = shotStageName.toLowerCase().trim() + if (normalised === stageNameLower || normalised === stageKey) { timing = t; break } + } + if (!timing) continue + const stageStart = timing.startTime + const stageDuration = timing.endTime - timing.startTime + if (stageDuration <= 0) continue + + const key = stageType === 'pressure' ? 'target_pressure' + : stageType === 'power' ? 'target_power' + : 'target_flow' + + const dynamicsOver = typeof stage.dynamics_over === 'string' + ? stage.dynamics_over + : typeof dynamics.over === 'string' ? dynamics.over : 'time' + + if (dynamicsOver === 'weight' && stageWeightToTime.has(stageNameLower)) { + const wtPairs = stageWeightToTime.get(stageNameLower)! + for (const point of points) { + if (!Array.isArray(point)) continue + const targetWeight = safeNumber(point[0]) + const value = resolveProfileValue(point[1] ?? point[0], variables) + let interpTime = stageStart + for (let i = 0; i < wtPairs.length - 1; i++) { + const [w0, t0] = wtPairs[i] + const [w1, t1] = wtPairs[i + 1] + if (w0 <= targetWeight && targetWeight <= w1 && w1 > w0) { + interpTime = t0 + (targetWeight - w0) / (w1 - w0) * (t1 - t0) + break + } + } + curves.push({ + time: Number(interpTime.toFixed(2)), + stage_name: stageName, + [key]: Math.round(value * 10) / 10, + }) + } + } else { + if (points.length === 1 && Array.isArray(points[0])) { + const value = resolveProfileValue(points[0][1] ?? points[0][0], variables) + curves.push( + { time: Number(stageStart.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, + { time: Number(timing.endTime.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, + ) + } else { + curves.push( + ...buildTimeBasedCurvePoints(points, variables, stageName, key, stageStart, timing.endTime), + ) + } + } + } + return curves.sort((a, b) => safeNumber(a.time) - safeNumber(b.time)) +} + +export function computeRichLocalAnalysis(entry: HistEntry, profileName: string): any { + const _sf = (v: unknown, d = 0): number => { + if (v == null) return d + const n = Number(v) + return Number.isFinite(n) ? n : d + } + const _round1 = (v: number) => Math.round(v * 10) / 10 + + const _resolveVar = (val: unknown, vars: HistVar[]): number => { + if (typeof val === 'string' && val.startsWith('$')) { + const key = val.slice(1) + const v = vars.find(x => x.key === key) + return v ? _sf(v.value) : 0 + } + return _sf(val) + } + + const FLOW_IGNORE_WINDOW = 3.5 + const PREINFUSION_KW = ['bloom', 'soak', 'preinfusion', 'pre-infusion', 'pre infusion', 'wet', 'fill', 'landing'] + + const pts = entry.data ?? [] + type StageStats = { + startTime: number; endTime: number; duration: number + startWeight: number; endWeight: number + startPressure: number; endPressure: number; avgPressure: number; maxPressure: number; minPressure: number + startFlow: number; endFlow: number; avgFlow: number; maxFlow: number + } + const shotStages = new Map() + { + let curStage: string | null = null + let stagePts: typeof pts = [] + const flush = () => { + if (!curStage || stagePts.length === 0) return + const times = stagePts.map(p => (p.time ?? 0) / 1000) + const prs = stagePts.map(p => p.shot?.pressure ?? 0) + const wts = stagePts.map(p => p.shot?.weight ?? 0) + const fls = stagePts.map(p => p.shot?.flow ?? 0) + const flsFiltered = stagePts.filter(p => (p.time ?? 0) / 1000 >= FLOW_IGNORE_WINDOW).map(p => p.shot?.flow ?? 0) + const flowSrc = flsFiltered.length > 0 ? flsFiltered : fls + shotStages.set(curStage, { + startTime: Math.min(...times), endTime: Math.max(...times), + duration: Math.max(...times) - Math.min(...times), + startWeight: wts[0], endWeight: wts[wts.length - 1], + startPressure: prs[0], endPressure: prs[prs.length - 1], + avgPressure: prs.reduce((a, b) => a + b, 0) / prs.length, + maxPressure: Math.max(...prs), minPressure: Math.min(...prs), + startFlow: fls[0], endFlow: fls[fls.length - 1], + avgFlow: flowSrc.reduce((a, b) => a + b, 0) / flowSrc.length, + maxFlow: Math.max(...flowSrc), + }) + } + for (const pt of pts) { + const st = (pt.status ?? '').trim() + if (!st || st.toLowerCase() === 'retracting') continue + if (st !== curStage) { flush(); curStage = st; stagePts = [] } + stagePts.push(pt) + } + flush() + } + + let maxPressure = 0, maxFlow = 0 + for (const pt of pts) { + if ((pt.shot?.pressure ?? 0) > maxPressure) maxPressure = pt.shot?.pressure ?? 0 + const t = (pt.time ?? 0) / 1000 + if (t >= FLOW_IGNORE_WINDOW && (pt.shot?.flow ?? 0) > maxFlow) maxFlow = pt.shot?.flow ?? 0 + } + const lastPt = pts[pts.length - 1] + const finalWeight = lastPt?.shot?.weight ?? entry.profile?.final_weight ?? 0 + const totalTime = lastPt ? (lastPt.profile_time ?? lastPt.time ?? 0) / 1000 : 0 + const targetWeight = entry.profile?.final_weight ?? null + + const vars = entry.profile?.variables ?? [] + const unitMap: Record = { time: 's', weight: 'g', pressure: 'bar', flow: 'ml/s' } + const compMap: Record = { '>=': '≥', '<=': '≤', '>': '>', '<': '<', '==': '=' } + + const stageDynamicsPoints = (stage: HistStage): any[] => { + if (Array.isArray(stage.dynamics_points)) return stage.dynamics_points + if (Array.isArray(stage.dynamics?.points)) return stage.dynamics.points + return [] + } + const stageDynamicsOver = (stage: HistStage): string => { + if (typeof stage.dynamics_over === 'string') return stage.dynamics_over + if (typeof stage.dynamics?.over === 'string') return stage.dynamics.over + return 'time' + } + + const fmtDynamics = (stage: HistStage): string => { + const dp = stageDynamicsPoints(stage) + if (!dp.length) return `${stage.type} stage` + const unit = stage.type === 'pressure' ? 'bar' : 'ml/s' + if (dp.length === 1) { + const v = _resolveVar(dp[0][1] ?? dp[0][0], vars) + return `Constant ${stage.type} at ${v} ${unit}` + } + if (dp.length === 2) { + const sy = _resolveVar(dp[0][1], vars), ey = _resolveVar(dp[1][1], vars), ex = _sf(dp[1][0]) + const ou = stageDynamicsOver(stage) === 'time' ? 's' : 'g' + if (sy === ey) return `Constant ${stage.type} at ${sy} ${unit} for ${ex}${ou}` + const dir = ey > sy ? 'ramp up' : 'ramp down' + return `${stage.type[0].toUpperCase() + stage.type.slice(1)} ${dir} from ${sy} to ${ey} ${unit} over ${ex}${ou}` + } + const vals = dp.map((p: number[]) => _resolveVar(p[1], vars)) + return `${stage.type[0].toUpperCase() + stage.type.slice(1)} curve: ${vals.join(' → ')} ${unit}` + } + + const fmtTriggers = (triggers: any[]) => triggers.map((t: any) => { + const v = _resolveVar(t.value, vars) + const c = compMap[t.comparison] ?? t.comparison + const u = unitMap[t.type] ?? '' + return { type: t.type, value: v, comparison: t.comparison, description: `${t.type} ${c} ${v}${u}` } + }) + + const fmtLimits = (limits: any[]) => limits.map((l: any) => { + const v = _resolveVar(l.value, vars) + const u = unitMap[l.type] ?? '' + return { type: l.type, value: v, description: `Limit ${l.type} to ${v}${u}` } + }) + + const profileStages = entry.profile?.stages ?? [] + const stageAnalyses: any[] = [] + const unreachedStages: string[] = [] + let preinfusionTime = 0 + const preinfusionStages: string[] = [] + + for (const ps of profileStages) { + const stageName = (ps.name ?? '').trim() + const stageType = ps.type ?? 'unknown' + let shotData: StageStats | undefined + for (const [k, v] of shotStages) { + if (k.trim().toLowerCase() === stageName.toLowerCase()) { shotData = v; break } + } + + const profileTarget = fmtDynamics(ps) + const exitTriggers = fmtTriggers(ps.exit_triggers ?? []) + const limits = fmtLimits(ps.limits ?? []) + const executed = !!shotData + + const stageResult: any = { + stage_name: stageName, + stage_key: (ps.key ?? stageName).toLowerCase().replace(/\s+/g, '_'), + stage_type: stageType, + profile_target: profileTarget, + profile_target_value: meanDynamicsTarget( + stageType, + stageDynamicsPoints(ps), + vars as Array>, + ), + profile_max_target: maxDynamicsTarget( + stageType, + stageDynamicsPoints(ps), + vars as Array>, + ), + exit_triggers: exitTriggers, + limits, + executed, + execution_data: null, + exit_trigger_result: null, + limit_hit: null, + assessment: null, + } + + if (!executed) { + unreachedStages.push(stageName) + stageResult.assessment = { status: 'not_reached', message: 'This stage was never executed during the shot' } + stageAnalyses.push(stageResult) + continue + } + + const sd = shotData! + const wGain = sd.endWeight - sd.startWeight + const descParts: string[] = [] + const pDelta = sd.endPressure - sd.startPressure + if (Math.abs(pDelta) > 0.5) { + descParts.push(pDelta > 0 + ? `Pressure rose from ${_round1(sd.startPressure)} to ${_round1(sd.endPressure)} bar` + : `Pressure declined from ${_round1(sd.startPressure)} to ${_round1(sd.endPressure)} bar`) + } else if (sd.maxPressure > 0) { + descParts.push(`Pressure held around ${_round1((sd.startPressure + sd.endPressure) / 2)} bar`) + } + const fDelta = sd.endFlow - sd.startFlow + if (Math.abs(fDelta) > 0.3) { + descParts.push(fDelta > 0 + ? `Flow increased from ${_round1(sd.startFlow)} to ${_round1(sd.endFlow)} ml/s` + : `Flow decreased from ${_round1(sd.startFlow)} to ${_round1(sd.endFlow)} ml/s`) + } else if (sd.maxFlow > 0) { + descParts.push(`Flow steady at ${_round1((sd.startFlow + sd.endFlow) / 2)} ml/s`) + } + if (wGain > 1) descParts.push(`extracted ${_round1(wGain)}g`) + if (sd.duration > 0) descParts.push(`over ${_round1(sd.duration)}s`) + const execDesc = descParts.length > 0 ? descParts.join(', ').replace(/^./, c => c.toUpperCase()) : `Stage executed for ${_round1(sd.duration)}s` + + stageResult.execution_data = { + duration: _round1(sd.duration), weight_gain: _round1(wGain), + start_weight: _round1(sd.startWeight), end_weight: _round1(sd.endWeight), + start_pressure: _round1(sd.startPressure), end_pressure: _round1(sd.endPressure), + avg_pressure: _round1(sd.avgPressure), max_pressure: _round1(sd.maxPressure), min_pressure: _round1(sd.minPressure), + start_flow: _round1(sd.startFlow), end_flow: _round1(sd.endFlow), + avg_flow: _round1(sd.avgFlow), max_flow: _round1(sd.maxFlow), + description: execDesc, + } + + if (ps.exit_triggers?.length) { + let triggered: any = null + const notTriggered: any[] = [] + for (const tr of ps.exit_triggers) { + const tType = tr.type ?? '' + const tVal = _resolveVar(tr.value, vars) + const comp = tr.comparison ?? '>=' + let actual = 0 + if (tType === 'time') actual = sd.duration + else if (tType === 'weight') actual = sd.endWeight + else if (tType === 'pressure') actual = comp === '>=' || comp === '>' ? sd.maxPressure : sd.endPressure + else if (tType === 'flow') actual = comp === '>=' || comp === '>' ? sd.maxFlow : sd.endFlow + const tol = (tType === 'time' || tType === 'weight') ? 0.5 : 0.2 + let hit = false + if (comp === '>=') hit = actual >= tVal - tol + else if (comp === '>') hit = actual > tVal + else if (comp === '<=') hit = actual <= tVal + tol + else if (comp === '<') hit = actual < tVal + const u = unitMap[tType] ?? '' + const info = { type: tType, target: tVal, actual: _round1(actual), description: `${tType} >= ${tVal}${u}` } + if (hit && !triggered) triggered = info + else if (!hit) notTriggered.push(info) + } + stageResult.exit_trigger_result = { triggered, not_triggered: notTriggered } + } + + for (const lim of (ps.limits ?? [])) { + const lType = lim.type ?? '' + const lVal = _resolveVar(lim.value, vars) + let actual = 0 + if (lType === 'flow') actual = sd.maxFlow + else if (lType === 'pressure') actual = sd.maxPressure + else if (lType === 'time') actual = sd.duration + else if (lType === 'weight') actual = sd.endWeight + const u = unitMap[lType] ?? '' + if (actual >= lVal - 0.2) { + stageResult.limit_hit = { type: lType, limit_value: lVal, actual_value: _round1(actual), description: `Hit ${lType} limit of ${lVal}${u}` } + break + } + } + + const etr = stageResult.exit_trigger_result + if (etr?.triggered) { + stageResult.assessment = stageResult.limit_hit + ? { status: 'hit_limit', message: `Stage exited but hit a limit (${stageResult.limit_hit.description})` } + : { status: 'reached_goal', message: `Exited via: ${etr.triggered.description}` } + } else if (etr && etr.not_triggered?.length) { + stageResult.assessment = { status: 'failed', message: 'Stage ended before exit triggers were satisfied' } + } else { + stageResult.assessment = { status: 'executed', message: 'Stage executed (no exit triggers defined)' } + } + + stageAnalyses.push(stageResult) + + const nl = stageName.toLowerCase() + if (PREINFUSION_KW.some(kw => nl.includes(kw))) { + preinfusionTime += sd.duration + preinfusionStages.push(stageName) + } + } + + const preinfusionWeight = (() => { + let w = 0 + for (const ps2 of profileStages) { + const sn = (ps2.name ?? '').trim().toLowerCase() + if (!PREINFUSION_KW.some(kw => sn.includes(kw))) continue + for (const [k, v] of shotStages) { + if (k.trim().toLowerCase() === sn) { w += Math.max(0, v.endWeight - v.startWeight); break } + } + } + return w + })() + + const analysis = { + shot_summary: { + final_weight: _round1(finalWeight), + target_weight: targetWeight, + total_time: _round1(totalTime), + max_pressure: _round1(maxPressure), + max_flow: _round1(maxFlow), + }, + weight_analysis: { + status: targetWeight + ? Math.abs(finalWeight - targetWeight) / targetWeight < 0.05 ? 'on_target' + : finalWeight < targetWeight ? 'under' : 'over' + : 'on_target', + target: targetWeight, + actual: _round1(finalWeight), + deviation_percent: targetWeight + ? Math.round(((finalWeight - targetWeight) / targetWeight) * 1000) / 10 + : 0, + }, + stage_analyses: stageAnalyses, + unreached_stages: unreachedStages, + preinfusion_summary: { + stages: preinfusionStages, + total_time: _round1(preinfusionTime), + proportion_of_shot: totalTime > 0 ? _round1(preinfusionTime / totalTime * 100) : 0, + weight_accumulated: _round1(preinfusionWeight), + weight_percent_of_total: finalWeight > 0 ? _round1(preinfusionWeight / finalWeight * 100) : 0, + issues: [], + recommendations: [], + }, + profile_info: { + name: profileName, + temperature: entry.profile?.temperature ?? null, + stage_count: profileStages.length, + }, + profile_target_curves: (() => { + if (!entry.profile) return [] + const stageTimings = new Map() + for (const [name, stats] of shotStages) { + stageTimings.set(name, { startTime: stats.startTime, endTime: stats.endTime }) + } + return generateShotAlignedTargetCurves( + entry.profile as unknown as CachedProfile, + stageTimings, + pts as unknown as Array>, + ) + })(), + } + ;(analysis as Record).shot_facts = buildShotFacts(analysis as Parameters[0]) + + return analysis +} diff --git a/packages/core/src/routes/analyzeLlmPrompt.ts b/packages/core/src/routes/analyzeLlmPrompt.ts new file mode 100644 index 00000000..4fa05a31 --- /dev/null +++ b/packages/core/src/routes/analyzeLlmPrompt.ts @@ -0,0 +1,141 @@ +import { ANALYSIS_KNOWLEDGE, FEW_SHOT_ANALYSIS_EXAMPLE, buildFactSheet } from '../ai/analysisKnowledge' +import { PROFILING_KNOWLEDGE } from '../ai/profilePromptFull' +import type { ShotFacts } from '../logic/shotFacts' + +export interface AnalyzeLlmPromptInput { + profileName: string + temperature: number | string | null + targetWeight: number | string | null + profileDescription: string + profileVars: unknown[] + cleanStages: unknown[] + facts: ShotFacts + tasteContext: string +} + +export function buildAnalyzeLlmPrompt(input: AnalyzeLlmPromptInput): string { + const { + profileName, temperature, targetWeight, profileDescription, + profileVars, cleanStages, facts, tasteContext, + } = input + return `You are an expert espresso barista and profiling specialist analyzing a shot from a Meticulous Espresso Machine. + +## Expert Knowledge +${PROFILING_KNOWLEDGE} + +## Analysis Framework +${ANALYSIS_KNOWLEDGE} + +## Profile Being Used +Name: ${profileName} +Temperature: ${temperature ?? 'Not set'}°C +Target Weight: ${targetWeight ?? 'Not set'}g + +### Profile Description +${profileDescription || 'No description provided - analyze the profile structure to understand intent.'} + +### Profile Variables +${JSON.stringify(profileVars, null, 2)} + +### Profile Stages +${JSON.stringify(cleanStages, null, 2)} + +## Shot Facts (digested — authoritative; trust over raw telemetry) +Each stage lists its exit classification. A Targeted exit means the stage reached its intended +outcome (e.g. its weight target); a Failsafe exit means a backstop fired before the real target. +A Targeted exit — including a short stage that hit its weight target — is NORMAL and CORRECT +behavior; never describe it as "early termination". The final weight reflects the settled weight +after the machine's piston retraction completes, so do NOT penalize weight deviation unless it +exceeds ±5%. + +${buildFactSheet(facts)} +${tasteContext ? `\n${tasteContext}\n` : ''} +${FEW_SHOT_ANALYSIS_EXAMPLE} + +--- + +Based on this data, provide a detailed expert analysis. + +CRITICAL FORMATTING RULES: +1. You MUST use EXACTLY these 5 section headers with the exact format shown (## followed by number, period, space, then title) +2. Each section MUST have the subsection headers shown (bold text with colon, like **What Happened:**) +3. ALL content under subsections MUST be bullet points starting with "- " +4. Keep bullet points concise (1-2 sentences max per bullet) +5. Do NOT add extra sections or subsections beyond what's specified + +## 1. Shot Performance + +**What Happened:** +- [Stage-by-stage description of the extraction] +- [Notable events: pressure spikes, flow restrictions, early/late stage exits] +- [Final weight accuracy relative to target] + +**Assessment:** [Choose exactly one: Good / Acceptable / Needs Improvement / Problematic] + +## 2. Root Cause Analysis + +**Primary Factors:** +- [Most likely cause with brief explanation] +- [Second most likely cause if applicable] + +**Secondary Considerations:** +- [Other contributing factors] +- [Environmental or equipment factors if relevant] + +## 3. Setup Recommendations + +**Priority Changes:** +- [Most important change - be specific with numbers when possible] +- [Second priority change] + +**Additional Suggestions:** +- [Other tweaks to consider] + +## 4. Profile Recommendations + +**Recommended Adjustments:** +- [Specific profile changes: timing, triggers, targets] +- [Variable value changes if applicable] + +**Reasoning:** +- [Why these changes would improve the shot] + +## 5. Profile Design Observations + +**Strengths:** +- [Well-designed aspects of this profile] + +**Potential Improvements:** +- [Exit trigger or safety limit suggestions] +- [Robustness improvements] + +Focus on actionable insights. Be specific with numbers where possible (e.g., "grind 1-2 steps finer" not just "grind finer"). + +## Structured Recommendations (MANDATORY) + +After your analysis sections, you MUST output a structured JSON block with specific, actionable profile variable recommendations. +Use EXACTLY this format — the markers are parsed programmatically: + +RECOMMENDATIONS_JSON: +[ + { + "variable": "", + "current_value": , + "recommended_value": , + "stage": "", + "confidence": "", + "reason": "" + } +] +END_RECOMMENDATIONS_JSON + +Rules for recommendations: +- Only include recommendations where you have a SPECIFIC numeric change to suggest +- The "variable" MUST be copied verbatim from the "key" field of an entry in the Profile Variables section above (for example "pressure_Max Pressure"). Do NOT invent positional names like "pressure_2" or "flow_0", and do NOT use the display name. +- Always include the variable's existing value as "current_value" so the change can be verified +- For top-level settings (temperature, final_weight), use stage="global" +- For stage-specific changes, use the stage name from Profile Stages +- confidence: "high" = strong evidence from data, "medium" = likely beneficial, "low" = worth trying +- If no recommendations apply, output an empty array: RECOMMENDATIONS_JSON:\n[]\nEND_RECOMMENDATIONS_JSON +` +} diff --git a/packages/core/test/contract/recommendationsParse.test.ts b/packages/core/test/contract/recommendationsParse.test.ts new file mode 100644 index 00000000..aed2d868 --- /dev/null +++ b/packages/core/test/contract/recommendationsParse.test.ts @@ -0,0 +1,93 @@ +import { describe, expect, it } from 'vitest' +import { + isActionableRecommendation, + isRecommendationPatchable, + parseRecommendationsJson, + termMatches, +} from '../../src/logic/recommendationsParse' + +describe('parseRecommendationsJson', () => { + it('parses a valid recommendations block and filters non-actionable records', () => { + const text = `Analysis text + +RECOMMENDATIONS_JSON: +[ + {"variable":"temperature","current_value":93,"recommended_value":94,"stage":"global"}, + {"variable":"","current_value":1,"recommended_value":2,"stage":"global"}, + {"variable":"flow","current_value":"NaN","recommended_value":2,"stage":"Pour"}, + "not a record" +] +END_RECOMMENDATIONS_JSON` + + expect(parseRecommendationsJson(text)).toEqual([ + { variable: 'temperature', current_value: 93, recommended_value: 94, stage: 'global' }, + ]) + }) + + it('returns an empty array when the block is missing', () => { + expect(parseRecommendationsJson('plain analysis')).toEqual([]) + }) + + it('returns an empty array when JSON is malformed', () => { + const text = `RECOMMENDATIONS_JSON: +[{"variable":"temperature",] +END_RECOMMENDATIONS_JSON` + + expect(parseRecommendationsJson(text)).toEqual([]) + }) +}) + +describe('isActionableRecommendation', () => { + it('rejects an empty variable', () => { + expect(isActionableRecommendation({ variable: ' ', current_value: 1, recommended_value: 2 })).toBe(false) + }) + + it('rejects non-finite current and recommended values', () => { + expect(isActionableRecommendation({ variable: 'temperature', current_value: 'NaN', recommended_value: 94 })).toBe(false) + expect(isActionableRecommendation({ variable: 'temperature', current_value: 93, recommended_value: Infinity })).toBe(false) + }) + + it('keeps recommendations with missing numeric values', () => { + expect(isActionableRecommendation({ variable: 'temperature' })).toBe(true) + }) +}) + +describe('isRecommendationPatchable', () => { + const variables = [ + { key: 'pressure_Max Pressure', name: 'Max Pressure', adjustable: true }, + { key: 'info_roast', name: 'Roast', adjustable: true }, + { key: 'flow_Static', name: 'Static Flow', adjustable: false }, + ] + + it('allows global temperature and final weight recommendations', () => { + expect(isRecommendationPatchable({ variable: 'temperature', stage: 'global' }, variables)).toBe(true) + expect(isRecommendationPatchable({ variable: 'final_weight', stage: 'global' }, variables)).toBe(true) + }) + + it('allows exit and limit variables on non-global stages', () => { + expect(isRecommendationPatchable({ variable: 'exit_weight', stage: 'Extraction' }, variables)).toBe(true) + expect(isRecommendationPatchable({ variable: 'limit_flow', stage: 'Extraction' }, variables)).toBe(true) + }) + + it('rejects info variables and adjustable false variables', () => { + expect(isRecommendationPatchable({ variable: 'info_roast', stage: 'global' }, variables)).toBe(false) + expect(isRecommendationPatchable({ variable: 'flow_Static', stage: 'Pour' }, variables)).toBe(false) + }) + + it('allows unknown variables and term-matched adjustable variables', () => { + expect(isRecommendationPatchable({ variable: 'unknown_variable', stage: 'Pour' }, variables)).toBe(true) + expect(isRecommendationPatchable({ variable: 'Max Pressure', stage: 'Pour' }, variables)).toBe(true) + }) +}) + +describe('termMatches', () => { + it('matches normalized terms in either direction', () => { + expect(termMatches('Max Pressure', 'pressure_Max Pressure')).toBe(true) + expect(termMatches('pressure_Max Pressure', 'Max Pressure')).toBe(true) + }) + + it('does not match empty or unrelated terms', () => { + expect(termMatches('', 'pressure')).toBe(false) + expect(termMatches('temperature', 'flow')).toBe(false) + }) +}) diff --git a/packages/core/test/contract/shotAnalysis.test.ts b/packages/core/test/contract/shotAnalysis.test.ts new file mode 100644 index 00000000..55426f75 --- /dev/null +++ b/packages/core/test/contract/shotAnalysis.test.ts @@ -0,0 +1,158 @@ +import { describe, expect, it } from 'vitest' +import { computeRichLocalAnalysis, type HistEntry } from '../../src/logic/shotAnalysis' + +describe('computeRichLocalAnalysis', () => { + const representativeEntry: HistEntry = { + id: 'shot-1', + time: 1710000000, + name: 'Bloom Ramp', + profile: { + name: 'Bloom Ramp', + final_weight: 36, + temperature: 93, + variables: [ + { key: 'pre_flow', name: 'Pre Flow', type: 'flow', value: 1.2 }, + { key: 'peak_pressure', name: 'Peak Pressure', type: 'pressure', value: 9 }, + ], + stages: [ + { + name: 'Bloom Soak', + type: 'flow', + dynamics: { points: [[0, '$pre_flow'], [4, '$pre_flow']], over: 'time' }, + exit_triggers: [{ type: 'weight', value: 2, comparison: '>=' }], + limits: [{ type: 'pressure', value: 2 }], + }, + { + name: 'Extraction', + type: 'pressure', + dynamics: { points: [[0, 6], [5, '$peak_pressure']], over: 'time' }, + exit_triggers: [{ type: 'weight', value: 36, comparison: '>=' }], + limits: [{ type: 'flow', value: 3 }], + }, + { + name: 'Taper', + type: 'pressure', + dynamics: { points: [[0, 9], [5, 6]], over: 'time' }, + exit_triggers: [{ type: 'time', value: 5, comparison: '>=' }], + }, + ], + }, + data: [ + { time: 0, profile_time: 0, status: 'Bloom Soak', shot: { pressure: 0.5, flow: 0, weight: 0 } }, + { time: 2000, profile_time: 2000, status: 'Bloom Soak', shot: { pressure: 1.1, flow: 1.0, weight: 1 } }, + { time: 4000, profile_time: 4000, status: 'Bloom Soak', shot: { pressure: 2.0, flow: 1.4, weight: 2 } }, + { time: 5000, profile_time: 5000, status: 'Extraction', shot: { pressure: 6, flow: 2.4, weight: 5 } }, + { time: 10000, profile_time: 10000, status: 'Extraction', shot: { pressure: 8, flow: 2.0, weight: 20 } }, + { time: 15000, profile_time: 15000, status: 'Extraction', shot: { pressure: 9, flow: 1.8, weight: 36 } }, + { time: 17000, profile_time: 17000, status: 'retracting', shot: { pressure: 0, flow: 0, weight: 36.4 } }, + ], + } + + it('computes shot summary, weight status, preinfusion summary, and unreached stages', () => { + const analysis = computeRichLocalAnalysis(representativeEntry, 'Bloom Ramp') + + expect(analysis.shot_summary).toEqual({ + final_weight: 36.4, + target_weight: 36, + total_time: 17, + max_pressure: 9, + max_flow: 2.4, + }) + expect(analysis.weight_analysis).toEqual({ + status: 'on_target', + target: 36, + actual: 36.4, + deviation_percent: 1.1, + }) + expect(analysis.preinfusion_summary).toMatchObject({ + stages: ['Bloom Soak'], + total_time: 4, + proportion_of_shot: 23.5, + weight_accumulated: 2, + weight_percent_of_total: 5.5, + }) + expect(analysis.unreached_stages).toEqual(['Taper']) + expect(analysis.profile_info).toEqual({ name: 'Bloom Ramp', temperature: 93, stage_count: 3 }) + }) + + it('computes stage analyses, exit triggers, target curves, and shot facts', () => { + const analysis = computeRichLocalAnalysis(representativeEntry, 'Bloom Ramp') + + expect(analysis.stage_analyses[0]).toMatchObject({ + stage_name: 'Bloom Soak', + stage_key: 'bloom_soak', + stage_type: 'flow', + profile_target: 'Constant flow at 1.2 ml/s for 4s', + profile_target_value: 1.2, + profile_max_target: 1.2, + exit_triggers: [{ type: 'weight', value: 2, comparison: '>=', description: 'weight ≥ 2g' }], + limits: [{ type: 'pressure', value: 2, description: 'Limit pressure to 2bar' }], + executed: true, + execution_data: { + duration: 4, + weight_gain: 2, + start_weight: 0, + end_weight: 2, + start_pressure: 0.5, + end_pressure: 2, + avg_pressure: 1.2, + max_pressure: 2, + min_pressure: 0.5, + start_flow: 0, + end_flow: 1.4, + avg_flow: 1.4, + max_flow: 1.4, + description: 'Pressure rose from 0.5 to 2 bar, Flow increased from 0 to 1.4 ml/s, extracted 2g, over 4s', + }, + exit_trigger_result: { triggered: { type: 'weight', target: 2, actual: 2, description: 'weight >= 2g' }, not_triggered: [] }, + limit_hit: { type: 'pressure', limit_value: 2, actual_value: 2, description: 'Hit pressure limit of 2bar' }, + assessment: { status: 'hit_limit', message: 'Stage exited but hit a limit (Hit pressure limit of 2bar)' }, + }) + expect(analysis.stage_analyses[1].profile_target).toBe('Pressure ramp up from 6 to 9 bar over 5s') + expect(analysis.stage_analyses[1].execution_data).toMatchObject({ duration: 10, weight_gain: 31, avg_pressure: 7.7, avg_flow: 2.1 }) + expect(analysis.stage_analyses[2]).toMatchObject({ executed: false, assessment: { status: 'not_reached' } }) + expect(analysis.profile_target_curves).toEqual([ + { time: 0, stage_name: 'Bloom Soak', target_flow: 1.2 }, + { time: 4, stage_name: 'Bloom Soak', target_flow: 1.2 }, + { time: 5, stage_name: 'Extraction', target_pressure: 6 }, + { time: 10, stage_name: 'Extraction', target_pressure: 9 }, + { time: 15, stage_name: 'Extraction', target_pressure: 9 }, + ]) + expect(analysis.shot_facts.stages).toHaveLength(3) + expect(analysis.shot_facts.stages[0]).toMatchObject({ reached: true, control_mode: 'flow', trigger_type: 'weight' }) + }) + + it('handles weight-based target curves and under-target shots', () => { + const entry: HistEntry = { + id: 'shot-2', + time: 1710000001, + name: 'Weight Curve', + profile: { + name: 'Weight Curve', + final_weight: 30, + stages: [{ + name: 'Pour', + type: 'flow', + dynamics: { points: [[0, 1.5], [10, 2.5], [20, 1.0]], over: 'weight' }, + exit_triggers: [{ type: 'time', value: 12, comparison: '>=' }], + }], + }, + data: [ + { time: 0, profile_time: 0, status: 'Pour', shot: { pressure: 1, flow: 1, weight: 0 } }, + { time: 5000, profile_time: 5000, status: 'Pour', shot: { pressure: 2, flow: 2, weight: 10 } }, + { time: 10000, profile_time: 10000, status: 'Pour', shot: { pressure: 2, flow: 1.5, weight: 20 } }, + ], + } + + const analysis = computeRichLocalAnalysis(entry, 'Weight Curve') + + expect(analysis.shot_summary).toMatchObject({ final_weight: 20, target_weight: 30, total_time: 10, max_flow: 2 }) + expect(analysis.weight_analysis).toMatchObject({ status: 'under', actual: 20, deviation_percent: -33.3 }) + expect(analysis.stage_analyses[0].profile_target).toBe('Flow curve: 1.5 → 2.5 → 1 ml/s') + expect(analysis.profile_target_curves).toEqual([ + { time: 0, stage_name: 'Pour', target_flow: 1.5 }, + { time: 5, stage_name: 'Pour', target_flow: 2.5 }, + { time: 10, stage_name: 'Pour', target_flow: 1 }, + ]) + }) +}) From e0ed18e8adde2dece483e0d0c46ece4a402eb4ab Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 16:54:40 +0200 Subject: [PATCH 16/62] feat(core): port shot-analysis route family into the core package Add the /api/shots/analyze, /api/shots/analyze-llm and /api/shots/analyze-recommendations routes to @metic/core, served by handle() for both runtimes (also under the bare /shots/... alias): - analyze: fetch the shot from the machine and return the structured local analysis (computeRichLocalAnalysis). - analyze-llm: build the analysis prompt over the shot data, run it through the AI provider seam with the existing validate/retry/repair loop, and cache the result for recommendation extraction. - analyze-recommendations: parse the RECOMMENDATIONS_JSON block (from the posted text or the cache) and flag patchability against the profile's variables fetched from the machine. Reuses the ported shot-analysis logic, prompt builder and recommendation parser. Adds 9 contract tests driven by the scriptedMachine/scriptedAI mocks. Verified live through the Bun server against a real machine and Gemini: structured analysis, a full AI analysis, and cached recommendation extraction. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/package.json | 3 +- packages/core/src/handler.ts | 4 + packages/core/src/routes/shots.ts | 273 ++++++++++++++++++++++ packages/core/test/contract/shots.test.ts | 199 ++++++++++++++++ 4 files changed, 478 insertions(+), 1 deletion(-) create mode 100644 packages/core/src/routes/shots.ts create mode 100644 packages/core/test/contract/shots.test.ts diff --git a/packages/core/package.json b/packages/core/package.json index 12eed04e..1d48751d 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -26,7 +26,8 @@ "./routes/dialin": "./src/routes/dialin.ts", "./routes/dialinPrompt": "./src/routes/dialinPrompt.ts", "./routes/analyzeLlmPrompt": "./src/routes/analyzeLlmPrompt.ts", - "./routes/pourover": "./src/routes/pourover.ts" + "./routes/pourover": "./src/routes/pourover.ts", + "./routes/shots": "./src/routes/shots.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index b34f4ec9..5d04eb98 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -3,6 +3,7 @@ import { jsonResponse, notFound } from "./http"; import { handleAnnotationRoutes } from "./routes/annotations"; import { handleDialInRoutes } from "./routes/dialin"; import { handlePourOverRoutes } from "./routes/pourover"; +import { handleShotAnalysisRoutes } from "./routes/shots"; /** * The single shared request handler for the unified TS core. @@ -31,5 +32,8 @@ export async function handle(req: Request, platform: Platform): Promise { status, analysis } | { status:'error', message } + * POST /api/shots/analyze-llm -> { status, llm_analysis, cached } | { status:'error', message } + * POST /api/shots/analyze-recommendations -> { status, recommendations, ... } | 404 { detail } + */ + +import type { Platform, Cache } from "../platform"; +import { jsonResponse } from "../http"; +import { computeRichLocalAnalysis, type HistEntry } from "../logic/shotAnalysis"; +import { buildShotFacts } from "../logic/shotFacts"; +import { buildTasteContext } from "../ai/prompts"; +import { buildAnalyzeLlmPrompt } from "./analyzeLlmPrompt"; +import { + lintShotAnalysis, + validateAgainstFacts, + checkStructure, + repairShotAnalysis, +} from "../logic/analysisLint"; +import { + parseRecommendationsJson, + isRecommendationPatchable, +} from "../logic/recommendationsParse"; + +interface ProfileListEntry { + id?: string; + name?: string; + variables?: Array>; + [key: string]: unknown; +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +/** Mirror of the native getHistoryEntryDate: seconds epoch -> YYYY-MM-DD. */ +function historyEntryDate(entry: HistEntry): string { + return new Date(entry.time * 1000).toISOString().split("T")[0]; +} + +/** Mirror of the native getHistoryEntryFilename: file field or `${id}.json`. */ +function historyEntryFilename(entry: HistEntry): string { + return entry.file ?? `${entry.id}.json`; +} + +/** Fetch the full shot history (telemetry + embedded profile) from the machine. */ +async function loadHistory(platform: Platform): Promise { + const response = await platform.machine.fetch("/api/v1/history"); + if (!response.ok) return []; + const raw: unknown = await response.json(); + if (Array.isArray(raw)) return raw as HistEntry[]; + if (isRecord(raw) && Array.isArray(raw.history)) return raw.history as HistEntry[]; + return []; +} + +/** Find a shot by its date (YYYY-MM-DD) and filename, matching the native lookup. */ +async function findShot( + platform: Platform, + date: string, + filename: string, +): Promise { + const history = await loadHistory(platform); + return ( + history.find( + (entry) => + historyEntryDate(entry) === date && historyEntryFilename(entry) === filename, + ) ?? null + ); +} + +/** Fetch the profile list from the machine (includes variables, no stages). */ +async function loadProfileList(platform: Platform): Promise { + const response = await platform.machine.fetch("/api/v1/profile/list"); + if (!response.ok) return []; + const raw: unknown = await response.json(); + if (Array.isArray(raw)) return raw as ProfileListEntry[]; + if (isRecord(raw) && Array.isArray(raw.profiles)) return raw.profiles as ProfileListEntry[]; + return []; +} + +function analysisCacheKey(profileName: string, shotFilename: string): string { + return `analysis:${profileName}::${shotFilename}`; +} + +async function readCachedAnalysis( + cache: Cache, + profileName: string, + shotFilename: string, +): Promise { + const hit = await cache.get(analysisCacheKey(profileName, shotFilename)); + return typeof hit === "string" ? hit : null; +} + +export async function handleShotAnalysisRoutes( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const normalized = pathname.startsWith("/api/") ? pathname.slice(4) : pathname; + if (req.method !== "POST") return null; + + // POST /api/shots/analyze -> structured local analysis. + if (normalized === "/shots/analyze") { + try { + const form = await req.formData(); + const profileName = String(form.get("profile_name") ?? "") || "Unknown"; + const shotDate = String(form.get("shot_date") ?? ""); + const shotFilename = String(form.get("shot_filename") ?? ""); + + const entry = await findShot(platform, shotDate, shotFilename); + if (!entry) return jsonResponse({ status: "error", message: "Shot not found" }); + + const analysis = computeRichLocalAnalysis(entry, profileName); + return jsonResponse({ status: "success", analysis }); + } catch (err) { + const message = err instanceof Error ? err.message : "Analysis failed"; + return jsonResponse({ status: "error", message }); + } + } + + // POST /api/shots/analyze-llm -> full AI analysis over the shot data. + if (normalized === "/shots/analyze-llm") { + try { + if (!platform.ai.isConfigured()) { + return jsonResponse({ status: "error", message: "AI provider is not configured" }); + } + const form = await req.formData(); + const profileName = String(form.get("profile_name") ?? "") || "Unknown"; + const shotDate = String(form.get("shot_date") ?? ""); + const shotFilename = String(form.get("shot_filename") ?? ""); + const profileDescription = String(form.get("profile_description") ?? ""); + + const entry = await findShot(platform, shotDate, shotFilename); + if (!entry) return jsonResponse({ status: "error", message: "Shot not found" }); + if (!(entry.data ?? []).length) { + return jsonResponse({ status: "error", message: "Shot has no telemetry data" }); + } + + const richAnalysis = computeRichLocalAnalysis(entry, profileName); + + const shotProfile = entry.profile; + const profileStages = shotProfile?.stages ?? []; + const profileVars = shotProfile?.variables ?? []; + const cleanStages = profileStages.map((s) => ({ + name: s.name, + type: s.type, + key: s.key, + dynamics_points: s.dynamics_points, + dynamics_over: s.dynamics_over, + exit_triggers: s.exit_triggers, + limits: s.limits, + })); + + const tasteXRaw = form.get("taste_x"); + const tasteYRaw = form.get("taste_y"); + const tasteX = tasteXRaw != null ? Number(tasteXRaw) : null; + const tasteY = tasteYRaw != null ? Number(tasteYRaw) : null; + const tasteDescriptors = String(form.get("taste_descriptors") ?? "") + .split(",") + .map((s) => s.trim()) + .filter(Boolean); + const tasteContext = + tasteX != null && tasteY != null + ? buildTasteContext(tasteX, tasteY, tasteDescriptors) + : ""; + + const facts = buildShotFacts(richAnalysis as Parameters[0]); + const prompt = buildAnalyzeLlmPrompt({ + profileName, + temperature: shotProfile?.temperature ?? null, + targetWeight: shotProfile?.final_weight ?? null, + profileDescription, + profileVars, + cleanStages, + facts, + tasteContext, + }); + + const generate = async (): Promise => { + const result = await platform.ai.generateText({ + contents: [{ role: "user", parts: [{ text: prompt }] }], + }); + return result.text ?? ""; + }; + + const isValid = (text: string): boolean => + lintShotAnalysis(text).valid && + validateAgainstFacts(text, facts).valid && + checkStructure(text).valid; + + let analysisText = await generate(); + if (!isValid(analysisText)) { + const retry = await generate(); + if (isValid(retry)) analysisText = retry; + } + if (!lintShotAnalysis(analysisText).valid) { + analysisText = repairShotAnalysis(analysisText); + } + + await platform.storage.aiCache.set( + analysisCacheKey(profileName, shotFilename), + analysisText, + ); + + return jsonResponse({ status: "success", llm_analysis: analysisText, cached: false }); + } catch (err) { + const message = err instanceof Error ? err.message : "Analysis failed"; + return jsonResponse({ status: "error", message }); + } + } + + // POST /api/shots/analyze-recommendations -> parse RECOMMENDATIONS_JSON locally. + if (normalized === "/shots/analyze-recommendations") { + try { + const form = await req.formData(); + const profileName = String(form.get("profile_name") ?? ""); + const shotFilename = String(form.get("shot_filename") ?? ""); + const analysisText = + String(form.get("analysis") ?? "") || + (await readCachedAnalysis(platform.storage.aiCache, profileName, shotFilename)) || + ""; + if (!analysisText) { + return jsonResponse( + { + detail: { + status: "no_analysis", + message: "No cached analysis found. Run a full analysis first.", + }, + }, + 404, + ); + } + + const profiles = await loadProfileList(platform); + const profile = profiles.find( + (p) => String(p.name ?? "").toLowerCase() === profileName.toLowerCase(), + ); + const variables = profile?.variables ?? []; + + const recommendations = parseRecommendationsJson(analysisText).map((recommendation) => ({ + ...recommendation, + is_patchable: isRecommendationPatchable(recommendation, variables), + })); + + return jsonResponse({ + status: "success", + profile_name: profileName, + recommendations, + total: recommendations.length, + patchable_count: recommendations.filter((r) => r.is_patchable).length, + }); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to extract recommendations"; + return jsonResponse({ detail: message }, 500); + } + } + + return null; +} diff --git a/packages/core/test/contract/shots.test.ts b/packages/core/test/contract/shots.test.ts new file mode 100644 index 00000000..9b9f3273 --- /dev/null +++ b/packages/core/test/contract/shots.test.ts @@ -0,0 +1,199 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedAI, scriptedMachine } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { HistEntry } from "../../src/logic/shotAnalysis"; + +const ENTRY: HistEntry = { + id: "shot-1", + time: 1710000000, + name: "Bloom Ramp", + profile: { + name: "Bloom Ramp", + final_weight: 36, + temperature: 93, + variables: [ + { key: "pre_flow", name: "Pre Flow", type: "flow", value: 1.2 }, + { key: "peak_pressure", name: "Peak Pressure", type: "pressure", value: 9 }, + ], + stages: [ + { + name: "Bloom Soak", + type: "flow", + dynamics_points: [[0, "$pre_flow"], [4, "$pre_flow"]], + dynamics_over: "time", + exit_triggers: [{ type: "weight", value: 2, comparison: ">=" }], + limits: [{ type: "pressure", value: 2 }], + }, + { + name: "Extraction", + type: "pressure", + dynamics_points: [[0, 6], [5, "$peak_pressure"]], + dynamics_over: "time", + exit_triggers: [{ type: "weight", value: 36, comparison: ">=" }], + limits: [{ type: "flow", value: 3 }], + }, + ], + }, + data: [ + { time: 0, profile_time: 0, status: "Bloom Soak", shot: { pressure: 0.5, flow: 0, weight: 0 } }, + { time: 4000, profile_time: 4000, status: "Bloom Soak", shot: { pressure: 2.0, flow: 1.4, weight: 2 } }, + { time: 10000, profile_time: 10000, status: "Extraction", shot: { pressure: 8, flow: 2.0, weight: 20 } }, + { time: 15000, profile_time: 15000, status: "Extraction", shot: { pressure: 9, flow: 1.8, weight: 36 } }, + ], +}; + +// time 1710000000s -> 2024-03-09; filename falls back to `${id}.json`. +const SHOT_DATE = "2024-03-09"; +const SHOT_FILE = "shot-1.json"; + +function analyzeForm(extra: Record = {}): FormData { + const form = new FormData(); + form.set("profile_name", "Bloom Ramp"); + form.set("shot_date", SHOT_DATE); + form.set("shot_filename", SHOT_FILE); + for (const [k, v] of Object.entries(extra)) form.set(k, v); + return form; +} + +function post(path: string, body: FormData): Request { + return new Request(`http://core.test${path}`, { method: "POST", body }); +} + +const historyMachine = () => scriptedMachine({ "/api/v1/history": { history: [ENTRY] } }); + +describe("POST /api/shots/analyze", () => { + test("returns a structured local analysis for a matching shot", async () => { + const p = makeMockPlatform({ machine: historyMachine() }); + const res = await handle(post("/api/shots/analyze", analyzeForm()), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.analysis.profile_info).toEqual({ + name: "Bloom Ramp", + temperature: 93, + stage_count: 2, + }); + expect(body.analysis.stage_analyses).toHaveLength(2); + }); + + test("returns an error when the shot is not found", async () => { + const p = makeMockPlatform({ machine: historyMachine() }); + const res = await handle( + post("/api/shots/analyze", analyzeForm({ shot_filename: "missing.json" })), + p, + ); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.message).toBe("Shot not found"); + }); + + test("is served under the bare /shots/analyze alias", async () => { + const p = makeMockPlatform({ machine: historyMachine() }); + const res = await handle(post("/shots/analyze", analyzeForm()), p); + expect((await res.json()).status).toBe("success"); + }); +}); + +describe("POST /api/shots/analyze-llm", () => { + const validAnalysis = [ + "## 1. Shot Performance", + "Assessment: Acceptable", + "## 2. Root Cause Analysis", + "## 3. Setup Recommendations", + "## 4. Profile Recommendations", + "## 5. Profile Design Observations", + ].join("\n\n"); + + test("errors when AI is not configured", async () => { + const p = makeMockPlatform({ machine: historyMachine() }); + const res = await handle(post("/api/shots/analyze-llm", analyzeForm()), p); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.message).toBe("AI provider is not configured"); + }); + + test("returns AI analysis text and caches it for recommendations", async () => { + const p = makeMockPlatform({ machine: historyMachine(), ai: scriptedAI(validAnalysis) }); + const res = await handle(post("/api/shots/analyze-llm", analyzeForm()), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.cached).toBe(false); + expect(body.llm_analysis).toContain("Shot Performance"); + + const cached = await p.storage.aiCache.get( + `analysis:Bloom Ramp::${SHOT_FILE}`, + ); + expect(cached).toBe(body.llm_analysis); + }); + + test("errors when the shot has no telemetry data", async () => { + const noData: HistEntry = { ...ENTRY, data: [] }; + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/history": { history: [noData] } }), + ai: scriptedAI(validAnalysis), + }); + const res = await handle(post("/api/shots/analyze-llm", analyzeForm()), p); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.message).toBe("Shot has no telemetry data"); + }); +}); + +describe("POST /api/shots/analyze-recommendations", () => { + const analysisWithRecs = [ + "## 4. Profile Recommendations", + "RECOMMENDATIONS_JSON:", + JSON.stringify([ + { variable: "pressure_2", current_value: 9, recommended_value: 8, stage: "Extraction", reason: "x" }, + { variable: "temperature", current_value: 93, recommended_value: 94, stage: "global", reason: "y" }, + ]), + "END_RECOMMENDATIONS_JSON", + ].join("\n"); + + const profileMachine = () => + scriptedMachine({ + "/api/v1/profile/list": [ + { + name: "Bloom Ramp", + variables: [{ key: "pressure_2", name: "Pressure", type: "pressure", value: 9, adjustable: true }], + }, + ], + }); + + test("parses recommendations from the posted analysis text and flags patchability", async () => { + const p = makeMockPlatform({ machine: profileMachine() }); + const form = new FormData(); + form.set("profile_name", "Bloom Ramp"); + form.set("shot_filename", SHOT_FILE); + form.set("analysis", analysisWithRecs); + const res = await handle(post("/api/shots/analyze-recommendations", form), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.total).toBe(2); + expect(body.recommendations[0].is_patchable).toBe(true); + expect(body.recommendations[1].is_patchable).toBe(true); + expect(body.patchable_count).toBe(2); + }); + + test("falls back to the cached analysis when no analysis is posted", async () => { + const p = makeMockPlatform({ machine: profileMachine() }); + await p.storage.aiCache.set(`analysis:Bloom Ramp::${SHOT_FILE}`, analysisWithRecs); + const form = new FormData(); + form.set("profile_name", "Bloom Ramp"); + form.set("shot_filename", SHOT_FILE); + const res = await handle(post("/api/shots/analyze-recommendations", form), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.total).toBe(2); + }); + + test("returns 404 when there is no analysis to parse", async () => { + const p = makeMockPlatform({ machine: profileMachine() }); + const form = new FormData(); + form.set("profile_name", "Bloom Ramp"); + form.set("shot_filename", SHOT_FILE); + const res = await handle(post("/api/shots/analyze-recommendations", form), p); + expect(res.status).toBe(404); + const body = await res.json(); + expect(body.detail.status).toBe("no_analysis"); + }); +}); From 0de1e4109092879e22d82db781a9f7bfaca634df Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 17:41:49 +0200 Subject: [PATCH 17/62] feat(core): port profile recommendation routes into the core package Add /api/profiles/recommend and /api/profiles/find-similar to @metic/core (also under the bare /profiles/... alias), reusing the shared profileRecommendation scorer. Profiles are read from the machine with ?full=true so stages are included for structural scoring in a single request, matching the server's canonical behavior and improving the native runtime (which previously scored off stage-less list data). Adds 5 contract tests asserting parity with the shared scorer. Verified live through the Bun server against a real machine catalogue. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/package.json | 3 +- packages/core/src/handler.ts | 4 + packages/core/src/routes/profiles.ts | 97 ++++++++++++++++++++ packages/core/test/contract/profiles.test.ts | 95 +++++++++++++++++++ 4 files changed, 198 insertions(+), 1 deletion(-) create mode 100644 packages/core/src/routes/profiles.ts create mode 100644 packages/core/test/contract/profiles.test.ts diff --git a/packages/core/package.json b/packages/core/package.json index 1d48751d..dd954d0a 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -27,7 +27,8 @@ "./routes/dialinPrompt": "./src/routes/dialinPrompt.ts", "./routes/analyzeLlmPrompt": "./src/routes/analyzeLlmPrompt.ts", "./routes/pourover": "./src/routes/pourover.ts", - "./routes/shots": "./src/routes/shots.ts" + "./routes/shots": "./src/routes/shots.ts", + "./routes/profiles": "./src/routes/profiles.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 5d04eb98..15b66ca1 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -4,6 +4,7 @@ import { handleAnnotationRoutes } from "./routes/annotations"; import { handleDialInRoutes } from "./routes/dialin"; import { handlePourOverRoutes } from "./routes/pourover"; import { handleShotAnalysisRoutes } from "./routes/shots"; +import { handleProfileRecommendationRoutes } from "./routes/profiles"; /** * The single shared request handler for the unified TS core. @@ -35,5 +36,8 @@ export async function handle(req: Request, platform: Platform): Promise { status, recommendations, count } + * POST /api/profiles/find-similar -> { status, recommendations, count } + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { + getRecommendations, + findSimilarProfiles, + type Recommendation, +} from "../logic/profileRecommendation"; +import type { AnalyzableProfile } from "../logic/profileAnalysis"; + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function toNumber(value: FormDataEntryValue | null, fallback: number): number { + const n = Number(value); + return Number.isFinite(n) ? n : fallback; +} + +/** Fetch the full profile catalogue (with stages) from the machine. */ +async function loadFullProfiles(platform: Platform): Promise { + const response = await platform.machine.fetch("/api/v1/profile/list?full=true"); + if (!response.ok) return []; + const raw: unknown = await response.json(); + const list = Array.isArray(raw) + ? raw + : isRecord(raw) && Array.isArray(raw.profiles) + ? raw.profiles + : []; + return list as AnalyzableProfile[]; +} + +function recommendationResponse(recommendations: Recommendation[]): Response { + return jsonResponse({ + status: "success", + recommendations, + count: recommendations.length, + }); +} + +export async function handleProfileRecommendationRoutes( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const normalized = pathname.startsWith("/api/") ? pathname.slice(4) : pathname; + if (req.method !== "POST") return null; + + if (normalized === "/profiles/recommend") { + try { + const form = await req.formData(); + const tags = form.getAll("tags").map((t) => String(t)).filter(Boolean); + const limit = Math.max(1, toNumber(form.get("limit"), 5)); + const profiles = await loadFullProfiles(platform); + return recommendationResponse(getRecommendations(tags, profiles, limit)); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to get recommendations"; + return jsonResponse({ detail: message }, 500); + } + } + + if (normalized === "/profiles/find-similar") { + try { + const form = await req.formData(); + const profileName = String(form.get("profile_name") ?? ""); + const limit = Math.max(1, toNumber(form.get("limit"), 10)); + const profiles = await loadFullProfiles(platform); + const source = profiles.find((p) => (p.name ?? "") === profileName); + const recommendations = source + ? findSimilarProfiles(source, profiles, limit) + : []; + return recommendationResponse(recommendations); + } catch (err) { + const message = err instanceof Error ? err.message : "Failed to find similar profiles"; + return jsonResponse({ detail: message }, 500); + } + } + + return null; +} diff --git a/packages/core/test/contract/profiles.test.ts b/packages/core/test/contract/profiles.test.ts new file mode 100644 index 00000000..8078b6b9 --- /dev/null +++ b/packages/core/test/contract/profiles.test.ts @@ -0,0 +1,95 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { AnalyzableProfile } from "../../src/logic/profileAnalysis"; +import { getRecommendations, findSimilarProfiles } from "../../src/logic/profileRecommendation"; + +const PROFILES: AnalyzableProfile[] = [ + { + name: "Fruity Turbo", + temperature: 94, + final_weight: 40, + stages: [ + { name: "Preinfusion", type: "flow", dynamics: { points: [[0, 4]], over: "time" } }, + { name: "Infusion", type: "pressure", dynamics: { points: [[0, 6], [10, 6]], over: "time" } }, + ] as AnalyzableProfile["stages"], + }, + { + name: "Classic Lever", + temperature: 92, + final_weight: 36, + stages: [ + { name: "Preinfusion", type: "flow", dynamics: { points: [[0, 3]], over: "time" } }, + { name: "Ramp", type: "pressure", dynamics: { points: [[0, 9], [20, 5]], over: "time" } }, + ] as AnalyzableProfile["stages"], + }, +]; + +function post(path: string, form: FormData): Request { + return new Request(`http://core.test${path}`, { method: "POST", body: form }); +} + +const catalogueMachine = () => + scriptedMachine({ "/api/v1/profile/list": PROFILES }); + +describe("POST /api/profiles/recommend", () => { + test("returns tag-scored recommendations matching the shared scorer", async () => { + const p = makeMockPlatform({ machine: catalogueMachine() }); + const form = new FormData(); + form.append("tags", "fruity"); + form.append("tags", "turbo"); + form.set("limit", "5"); + const res = await handle(post("/api/profiles/recommend", form), p); + const body = await res.json(); + expect(body.status).toBe("success"); + + const expected = getRecommendations(["fruity", "turbo"], PROFILES, 5); + expect(body.count).toBe(expected.length); + expect(body.recommendations).toEqual(expected); + }); + + test("is served under the bare /profiles/recommend alias", async () => { + const p = makeMockPlatform({ machine: catalogueMachine() }); + const form = new FormData(); + form.append("tags", "fruity"); + const res = await handle(post("/profiles/recommend", form), p); + expect((await res.json()).status).toBe("success"); + }); + + test("returns 500 with a detail message when the machine is unavailable", async () => { + const p = makeMockPlatform(); // default machine.fetch rejects + const form = new FormData(); + form.append("tags", "fruity"); + const res = await handle(post("/api/profiles/recommend", form), p); + expect(res.status).toBe(500); + expect((await res.json()).detail).toBeTruthy(); + }); +}); + +describe("POST /api/profiles/find-similar", () => { + test("returns profiles similar to the named source", async () => { + const p = makeMockPlatform({ machine: catalogueMachine() }); + const form = new FormData(); + form.set("profile_name", "Fruity Turbo"); + form.set("limit", "10"); + const res = await handle(post("/api/profiles/find-similar", form), p); + const body = await res.json(); + expect(body.status).toBe("success"); + + const source = PROFILES.find((x) => x.name === "Fruity Turbo")!; + const expected = findSimilarProfiles(source, PROFILES, 10); + expect(body.recommendations).toEqual(expected); + expect(body.count).toBe(expected.length); + }); + + test("returns an empty list when the source profile is unknown", async () => { + const p = makeMockPlatform({ machine: catalogueMachine() }); + const form = new FormData(); + form.set("profile_name", "Does Not Exist"); + const res = await handle(post("/api/profiles/find-similar", form), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.recommendations).toEqual([]); + expect(body.count).toBe(0); + }); +}); From d5b248ef596717f01e233019d4f316eeded11a18 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 17:48:38 +0200 Subject: [PATCH 18/62] feat(core): port apply-recommendations route into the core package Add POST /api/profile/{name}/apply-recommendations to @metic/core (also under the bare /profile/{name}/... alias). It patches selected recommendations onto a machine profile and saves it back: - global temperature / final_weight, - adjustable profile variables (info-only / non-adjustable are skipped), - stage exit_triggers and limits, - a fuzzy fallback that recovers model-invented positional ids (e.g. "pressure_2") by type + current_value + stage. Client-only metadata (change_id, in_history, has_description) is stripped before saving, matching the native runtime. The server's defensive bounds guards (temperature <= 100 C, final_weight > 0) are kept so invalid values are skipped rather than written to the machine. Adds 12 contract tests. Also fixes a latent DOM-lib typing issue in routes/profiles.ts (toNumber took FormDataEntryValue, which is unavailable under the bun-server tsconfig) and exports the MockMachine test type. Verified live through the Bun server against a real machine (idempotent apply round-trips find -> get -> patch -> save). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/package.json | 3 +- packages/core/src/handler.ts | 4 + packages/core/src/routes/profileApply.ts | 338 ++++++++++++++++++ packages/core/src/routes/profiles.ts | 2 +- .../core/test/contract/profileApply.test.ts | 242 +++++++++++++ packages/core/test/mockPlatform.ts | 2 +- 6 files changed, 588 insertions(+), 3 deletions(-) create mode 100644 packages/core/src/routes/profileApply.ts create mode 100644 packages/core/test/contract/profileApply.test.ts diff --git a/packages/core/package.json b/packages/core/package.json index dd954d0a..fd7ac264 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -28,7 +28,8 @@ "./routes/analyzeLlmPrompt": "./src/routes/analyzeLlmPrompt.ts", "./routes/pourover": "./src/routes/pourover.ts", "./routes/shots": "./src/routes/shots.ts", - "./routes/profiles": "./src/routes/profiles.ts" + "./routes/profiles": "./src/routes/profiles.ts", + "./routes/profileApply": "./src/routes/profileApply.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 15b66ca1..62de4d90 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -5,6 +5,7 @@ import { handleDialInRoutes } from "./routes/dialin"; import { handlePourOverRoutes } from "./routes/pourover"; import { handleShotAnalysisRoutes } from "./routes/shots"; import { handleProfileRecommendationRoutes } from "./routes/profiles"; +import { handleApplyRecommendationsRoute } from "./routes/profileApply"; /** * The single shared request handler for the unified TS core. @@ -39,5 +40,8 @@ export async function handle(req: Request, platform: Platform): Promise 0) so invalid values are skipped rather than written to the + * machine. + * + * Route (also served under the bare `/profile/{name}/...` alias): + * POST /api/profile/{name}/apply-recommendations + * -> { status: "success"|"no_changes", profile?, applied, skipped } + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; + +const KNOWN_VARIABLE_TYPES = [ + "pressure", + "flow", + "temperature", + "weight", + "time", + "volume", +] as const; + +const EXIT_TRIGGER_TYPE_MAP: Record = { + exit_weight: "weight", + exit_time: "time", + exit_pressure: "pressure", + exit_flow: "flow", + exit_volume: "volume", +}; + +const LIMIT_TYPE_MAP: Record = { + limit_pressure: "pressure", + limit_flow: "flow", + limit_weight: "weight", +}; + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function optionalNumber(value: unknown): number | null { + const numberValue = Number(value); + return Number.isFinite(numberValue) ? numberValue : null; +} + +function variableTypeOf(raw: string): string | null { + const lower = raw.trim().toLowerCase(); + for (const type of KNOWN_VARIABLE_TYPES) { + if (lower === type || lower.startsWith(`${type}_`)) return type; + } + return null; +} + +/** Strip client-only metadata so the machine accepts the /profile/save body. */ +function cloneProfileForSave(profile: Record): Record { + const machineProfile: Record = { ...profile }; + delete machineProfile.change_id; + delete machineProfile.in_history; + delete machineProfile.has_description; + return JSON.parse(JSON.stringify(machineProfile)) as Record; +} + +function updateStageValue( + stages: Array> | undefined, + stageName: string, + collectionKey: "exit_triggers" | "limits", + typeMap: Record, + variable: string, + value: number, +): { applied: boolean; reason?: string } { + const targetType = typeMap[variable]; + if (!targetType || !stages) return { applied: false }; + const stage = stages.find( + (item) => String(item.name ?? "").toLowerCase() === stageName.toLowerCase(), + ); + if (!stage) return { applied: false }; + const collection = Array.isArray(stage[collectionKey]) + ? (stage[collectionKey] as Array>) + : []; + const target = collection.find((item) => item.type === targetType); + if (!target) { + return { + applied: false, + reason: `no ${targetType} ${collectionKey === "limits" ? "limit" : "exit trigger"} in stage '${stageName}'`, + }; + } + target.value = value; + return { applied: true }; +} + +function resolveFuzzyVariable( + variables: Array> | undefined, + rawVariable: string, + currentValue: unknown, + stage: string, +): Record | null { + if (!Array.isArray(variables) || variables.length === 0) return null; + const type = variableTypeOf(rawVariable); + if (!type) return null; + + const adjustable = variables.filter((item) => { + const key = String(item.key ?? ""); + if (key.startsWith("info_") || item.adjustable === false) return false; + const itemType = String(item.type ?? "").toLowerCase() || variableTypeOf(key); + return itemType === type; + }); + if (adjustable.length === 0) return null; + if (adjustable.length === 1) return adjustable[0]; + + const cur = optionalNumber(currentValue); + if (cur !== null) { + const byValue = adjustable.filter((item) => optionalNumber(item.value) === cur); + if (byValue.length === 1) return byValue[0]; + } + + const stageLower = stage.trim().toLowerCase(); + if (stageLower && stageLower !== "global") { + const byStage = adjustable.filter( + (item) => + String(item.name ?? "").toLowerCase().includes(stageLower) || + String(item.key ?? "").toLowerCase().includes(stageLower), + ); + if (byStage.length === 1) return byStage[0]; + } + return null; +} + +async function findProfileByName( + platform: Platform, + name: string, +): Promise | null> { + const response = await platform.machine.fetch("/api/v1/profile/list"); + if (!response.ok) return null; + const raw: unknown = await response.json(); + const list = Array.isArray(raw) + ? raw + : isRecord(raw) && Array.isArray(raw.profiles) + ? raw.profiles + : []; + for (const entry of list) { + if (isRecord(entry) && String(entry.name ?? "") === name) return entry; + } + return null; +} + +async function loadFullProfile( + platform: Platform, + id: string, + fallback: Record, +): Promise> { + try { + const response = await platform.machine.fetch(`/api/v1/profile/get/${id}`); + if (response.ok) { + const data: unknown = await response.json(); + if (isRecord(data) && data.id) return data; + } + } catch { + // fall through to the cached list entry + } + return fallback; +} + +export async function handleApplyRecommendationsRoute( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const match = pathname.match(/^(?:\/api)?\/profile\/([^/]+)\/apply-recommendations$/); + if (!match || req.method !== "POST") return null; + + const name = decodeURIComponent(match[1]); + try { + const form = await req.formData(); + const rawRecommendations = String(form.get("recommendations") ?? "[]"); + + let parsed: unknown; + try { + parsed = JSON.parse(rawRecommendations); + } catch (err) { + const message = err instanceof Error ? err.message : String(err); + return jsonResponse({ detail: `Invalid recommendations JSON: ${message}` }, 400); + } + if (!Array.isArray(parsed)) { + return jsonResponse({ detail: "recommendations must be a JSON array" }, 400); + } + + const profile = await findProfileByName(platform, name); + if (!profile) { + return jsonResponse({ detail: `Profile '${name}' not found on machine` }, 404); + } + + const fullProfile = await loadFullProfile(platform, String(profile.id ?? ""), profile); + const updated = cloneProfileForSave(fullProfile); + const variables = Array.isArray(updated.variables) + ? (updated.variables as Array>) + : undefined; + const stages = Array.isArray(updated.stages) + ? (updated.stages as Array>) + : undefined; + + const applied: Array> = []; + const skipped: Array> = []; + + for (const recommendation of parsed) { + if (!isRecord(recommendation)) { + skipped.push({ variable: "?", reason: "invalid entry (not an object)" }); + continue; + } + const variable = String(recommendation.variable ?? ""); + const stage = String(recommendation.stage ?? ""); + const recommendedValue = optionalNumber(recommendation.recommended_value); + if (recommendedValue === null) { + skipped.push({ variable, reason: "invalid recommended_value" }); + continue; + } + + if (stage === "global" && variable === "temperature") { + if (recommendedValue > 100) { + skipped.push({ variable, reason: "exceeds 100 °C" }); + continue; + } + updated.temperature = recommendedValue; + applied.push({ variable, stage, value: recommendedValue }); + continue; + } + if (stage === "global" && variable === "final_weight") { + if (recommendedValue <= 0) { + skipped.push({ variable, reason: "must be > 0" }); + continue; + } + updated.final_weight = recommendedValue; + applied.push({ variable, stage, value: recommendedValue }); + continue; + } + + const profileVariable = variables?.find((item) => item.key === variable); + if (profileVariable) { + if ( + String(profileVariable.key ?? "").startsWith("info_") || + profileVariable.adjustable === false + ) { + skipped.push({ variable, reason: "info-only / not adjustable" }); + } else { + profileVariable.value = recommendedValue; + applied.push({ variable, stage, value: recommendedValue }); + } + continue; + } + + const exitTriggerResult = updateStageValue( + stages, + stage, + "exit_triggers", + EXIT_TRIGGER_TYPE_MAP, + variable, + recommendedValue, + ); + if (exitTriggerResult.applied) { + applied.push({ variable, stage, value: recommendedValue }); + continue; + } + if (exitTriggerResult.reason) { + skipped.push({ variable, reason: exitTriggerResult.reason }); + continue; + } + + const limitResult = updateStageValue( + stages, + stage, + "limits", + LIMIT_TYPE_MAP, + variable, + recommendedValue, + ); + if (limitResult.applied) { + applied.push({ variable, stage, value: recommendedValue }); + continue; + } + if (limitResult.reason) { + skipped.push({ variable, reason: limitResult.reason }); + continue; + } + + const fuzzyVariable = resolveFuzzyVariable( + variables, + variable, + recommendation.current_value, + stage, + ); + if (fuzzyVariable) { + fuzzyVariable.value = recommendedValue; + applied.push({ + variable: String(fuzzyVariable.key ?? variable), + stage, + value: recommendedValue, + matched_from: variable, + }); + continue; + } + + skipped.push({ variable, reason: "variable not found in profile" }); + } + + if (applied.length === 0) { + return jsonResponse({ + status: "no_changes", + message: "No applicable recommendations to apply", + applied, + skipped, + }); + } + + const saveResponse = await platform.machine.fetch("/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(updated), + }); + if (!saveResponse.ok) { + return jsonResponse({ detail: "Failed to save profile to machine" }, 502); + } + + return jsonResponse({ status: "success", profile: updated, applied, skipped }); + } catch (err) { + const detail = err instanceof Error ? err.message : "Failed to apply recommendations"; + return jsonResponse({ detail }, 500); + } +} diff --git a/packages/core/src/routes/profiles.ts b/packages/core/src/routes/profiles.ts index e1d71a79..03c66fe0 100644 --- a/packages/core/src/routes/profiles.ts +++ b/packages/core/src/routes/profiles.ts @@ -29,7 +29,7 @@ function isRecord(value: unknown): value is Record { return typeof value === "object" && value !== null && !Array.isArray(value); } -function toNumber(value: FormDataEntryValue | null, fallback: number): number { +function toNumber(value: unknown, fallback: number): number { const n = Number(value); return Number.isFinite(n) ? n : fallback; } diff --git a/packages/core/test/contract/profileApply.test.ts b/packages/core/test/contract/profileApply.test.ts new file mode 100644 index 00000000..6fa2f5af --- /dev/null +++ b/packages/core/test/contract/profileApply.test.ts @@ -0,0 +1,242 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { MockMachine } from "../mockPlatform"; + +interface FullProfile { + id: string; + name: string; + temperature?: number; + final_weight?: number; + change_id?: string; + in_history?: boolean; + has_description?: boolean; + variables?: Array>; + stages?: Array>; +} + +function makeProfile(): FullProfile { + return { + id: "abc123", + name: "Test Profile", + temperature: 92, + final_weight: 40, + change_id: "chg-1", + in_history: true, + has_description: true, + variables: [ + { key: "pressure_Peak", type: "pressure", value: 9, adjustable: true }, + { key: "info_note", type: "text", value: 0, adjustable: false }, + ], + stages: [ + { + name: "Preinfusion", + exit_triggers: [{ type: "time", value: 10 }], + limits: [{ type: "flow", value: 4 }], + }, + ], + }; +} + +/** A machine mock that serves list/get and records the /profile/save body. */ +function applyMachine(profile: FullProfile, opts: { saveOk?: boolean } = {}): { + machine: MockMachine; + saved: () => Record | null; +} { + let savedBody: Record | null = null; + const machine: MockMachine = { + getBaseUrl: () => "http://machine.test:8080", + fetch: async (path: string, init?: RequestInit) => { + const pathname = path.startsWith("http") ? new URL(path).pathname : path.split("?")[0]; + if (pathname === "/api/v1/profile/list") { + return new Response(JSON.stringify([{ id: profile.id, name: profile.name }]), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + if (pathname === `/api/v1/profile/get/${profile.id}`) { + return new Response(JSON.stringify(profile), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + if (pathname === "/api/v1/profile/save") { + if (opts.saveOk === false) return new Response("nope", { status: 500 }); + savedBody = JSON.parse(String(init?.body ?? "{}")); + return new Response(JSON.stringify({ status: "ok" }), { status: 200 }); + } + return new Response(JSON.stringify({ detail: "not found" }), { status: 404 }); + }, + }; + return { machine, saved: () => savedBody }; +} + +function post(path: string, recommendations: unknown): Request { + const form = new FormData(); + form.set("recommendations", JSON.stringify(recommendations)); + return new Request(`http://core.test${path}`, { method: "POST", body: form }); +} + +const ROUTE = "/api/profile/Test%20Profile/apply-recommendations"; + +describe("POST /api/profile/{name}/apply-recommendations", () => { + test("applies a global temperature change and saves the stripped profile", async () => { + const { machine, saved } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [{ variable: "temperature", stage: "global", recommended_value: 94 }]), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.applied).toEqual([{ variable: "temperature", stage: "global", value: 94 }]); + expect(body.skipped).toEqual([]); + expect(body.profile.temperature).toBe(94); + // client-only metadata is stripped before saving to the machine + const savedBody = saved()!; + expect(savedBody.temperature).toBe(94); + expect(savedBody.change_id).toBeUndefined(); + expect(savedBody.in_history).toBeUndefined(); + expect(savedBody.has_description).toBeUndefined(); + }); + + test("applies an adjustable profile variable but skips info-only ones", async () => { + const { machine, saved } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [ + { variable: "pressure_Peak", stage: "global", recommended_value: 7 }, + { variable: "info_note", stage: "global", recommended_value: 1 }, + ]), + p, + ); + const body = await res.json(); + expect(body.applied).toEqual([{ variable: "pressure_Peak", stage: "global", value: 7 }]); + expect(body.skipped).toEqual([{ variable: "info_note", reason: "info-only / not adjustable" }]); + const savedVar = (saved()!.variables as Array>).find( + (v) => v.key === "pressure_Peak", + ); + expect(savedVar!.value).toBe(7); + }); + + test("applies stage exit-trigger and limit values", async () => { + const { machine, saved } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [ + { variable: "exit_time", stage: "Preinfusion", recommended_value: 15 }, + { variable: "limit_flow", stage: "Preinfusion", recommended_value: 6 }, + ]), + p, + ); + const body = await res.json(); + expect(body.applied).toHaveLength(2); + const stage = (saved()!.stages as Array>)[0]; + const trigger = (stage.exit_triggers as Array>)[0]; + const limit = (stage.limits as Array>)[0]; + expect(trigger.value).toBe(15); + expect(limit.value).toBe(6); + }); + + test("recovers a model-invented positional id via the fuzzy fallback", async () => { + const { machine } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [ + { variable: "pressure_2", stage: "global", current_value: 9, recommended_value: 6 }, + ]), + p, + ); + const body = await res.json(); + expect(body.applied).toEqual([ + { variable: "pressure_Peak", stage: "global", value: 6, matched_from: "pressure_2" }, + ]); + }); + + test("skips out-of-range global values (temperature > 100, final_weight <= 0)", async () => { + const { machine, saved } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [ + { variable: "temperature", stage: "global", recommended_value: 150 }, + { variable: "final_weight", stage: "global", recommended_value: 0 }, + ]), + p, + ); + const body = await res.json(); + expect(body.status).toBe("no_changes"); + expect(body.skipped).toEqual([ + { variable: "temperature", reason: "exceeds 100 °C" }, + { variable: "final_weight", reason: "must be > 0" }, + ]); + expect(saved()).toBeNull(); // nothing applied -> no save + }); + + test("returns no_changes without saving when nothing is applicable", async () => { + const { machine, saved } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [{ variable: "nonexistent", stage: "global", recommended_value: 5 }]), + p, + ); + const body = await res.json(); + expect(body.status).toBe("no_changes"); + expect(body.skipped).toEqual([{ variable: "nonexistent", reason: "variable not found in profile" }]); + expect(saved()).toBeNull(); + }); + + test("returns 400 for invalid recommendations JSON", async () => { + const { machine } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const form = new FormData(); + form.set("recommendations", "{not json"); + const req = new Request(`http://core.test${ROUTE}`, { method: "POST", body: form }); + const res = await handle(req, p); + expect(res.status).toBe(400); + expect((await res.json()).detail).toContain("Invalid recommendations JSON"); + }); + + test("returns 400 when recommendations is not an array", async () => { + const { machine } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle(post(ROUTE, { variable: "x" }), p); + expect(res.status).toBe(400); + expect((await res.json()).detail).toBe("recommendations must be a JSON array"); + }); + + test("returns 404 when the profile is not found on the machine", async () => { + const { machine } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post("/api/profile/Ghost/apply-recommendations", [ + { variable: "temperature", stage: "global", recommended_value: 94 }, + ]), + p, + ); + expect(res.status).toBe(404); + expect((await res.json()).detail).toBe("Profile 'Ghost' not found on machine"); + }); + + test("returns 502 when the machine save fails", async () => { + const { machine } = applyMachine(makeProfile(), { saveOk: false }); + const p = makeMockPlatform({ machine }); + const res = await handle( + post(ROUTE, [{ variable: "temperature", stage: "global", recommended_value: 94 }]), + p, + ); + expect(res.status).toBe(502); + expect((await res.json()).detail).toBe("Failed to save profile to machine"); + }); + + test("is served under the bare /profile/{name}/... alias", async () => { + const { machine } = applyMachine(makeProfile()); + const p = makeMockPlatform({ machine }); + const res = await handle( + post("/profile/Test%20Profile/apply-recommendations", [ + { variable: "temperature", stage: "global", recommended_value: 93 }, + ]), + p, + ); + expect((await res.json()).status).toBe("success"); + }); +}); diff --git a/packages/core/test/mockPlatform.ts b/packages/core/test/mockPlatform.ts index 96ec6c34..e4231093 100644 --- a/packages/core/test/mockPlatform.ts +++ b/packages/core/test/mockPlatform.ts @@ -74,7 +74,7 @@ export function throwingAI(message = "boom"): PlatformAI { } /** The machine seam of the mock Platform. */ -type MockMachine = Platform["machine"]; +export type MockMachine = Platform["machine"]; /** Default mock machine: getBaseUrl is fixed, fetch rejects (no machine wired). */ function unwiredMachine(): MockMachine { From 47e6930250816f896a4cde89c993ca91eb80e488 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 17:58:47 +0200 Subject: [PATCH 19/62] feat(core): port regenerate-description route into the core package Add POST /api/profile/{id}/regenerate-description to @metic/core (also under the bare /profile/{id}/... alias). It regenerates a profile's human-readable description, preferring an AI write-up and falling back to a deterministic static summary: - resolve the profile from the machine (identifier as profile id, then name), - when AI is configured, build the barista prompt (with the shared tags prompt), generate, strip the Tags line, resolve any leftover variable placeholders to concrete values, cache the description and parsed tags, - otherwise (or on AI failure / a "generated without AI" signal) build and cache the static description. The two parity oracles resolve the profile from runtime-specific caches (server: profile-generation history; native: machine shot history + in-memory profile caches) that have no host-independent equivalent, so this port resolves through the machine client, the one path available on every host. The browser Platform will map the new description / ai-tags storage repos onto its existing native caches in Phase 3. Adds two new Platform storage repos (descriptions, aiTags) wired in the Node platform (profile_descriptions.json, profile_ai_tags.json) and the mock. Ports buildStaticProfileDescription + resolveDescriptionPlaceholders into logic/profileDescription.ts (reusing the existing core tags helpers). Adds 13 contract tests. Verified live through the Bun server against a real machine + real Gemini (AI description by id and by name, placeholder-free, tags stripped, cached to disk, 404 path). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 2 + packages/core/package.json | 4 +- packages/core/src/handler.ts | 4 + packages/core/src/logic/profileDescription.ts | 173 ++++++++++++++++++ packages/core/src/platform.ts | 4 + .../core/src/routes/profileDescription.ts | 135 ++++++++++++++ .../test/contract/profileDescription.test.ts | 111 +++++++++++ .../test/contract/profileRegenerate.test.ts | 91 +++++++++ packages/core/test/mockPlatform.ts | 2 + 9 files changed, 525 insertions(+), 1 deletion(-) create mode 100644 packages/core/src/logic/profileDescription.ts create mode 100644 packages/core/src/routes/profileDescription.ts create mode 100644 packages/core/test/contract/profileDescription.test.ts create mode 100644 packages/core/test/contract/profileRegenerate.test.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index acddce1d..69c6800c 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -298,6 +298,8 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform dialInSessions: fsKeyedMapRepo(join(dataDir, "dialin_sessions.json")), pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_preferences.json")), schedules: fsRepo(join(dataDir, "schedules")), + descriptions: fsKeyedMapRepo(join(dataDir, "profile_descriptions.json")), + aiTags: fsKeyedMapRepo(join(dataDir, "profile_ai_tags.json")), aiCache: memoryCache(clock), images: fsBlobStore(join(dataDir, "images")), }, diff --git a/packages/core/package.json b/packages/core/package.json index fd7ac264..d5ce5d89 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -17,6 +17,7 @@ "./logic/decentConverter": "./src/logic/decentConverter.ts", "./logic/tags": "./src/logic/tags.ts", "./logic/profileAnalysis": "./src/logic/profileAnalysis.ts", + "./logic/profileDescription": "./src/logic/profileDescription.ts", "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts", "./logic/recommendationsParse": "./src/logic/recommendationsParse.ts", "./ai/aiErrors": "./src/ai/aiErrors.ts", @@ -29,7 +30,8 @@ "./routes/pourover": "./src/routes/pourover.ts", "./routes/shots": "./src/routes/shots.ts", "./routes/profiles": "./src/routes/profiles.ts", - "./routes/profileApply": "./src/routes/profileApply.ts" + "./routes/profileApply": "./src/routes/profileApply.ts", + "./routes/profileDescription": "./src/routes/profileDescription.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 62de4d90..80910501 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -6,6 +6,7 @@ import { handlePourOverRoutes } from "./routes/pourover"; import { handleShotAnalysisRoutes } from "./routes/shots"; import { handleProfileRecommendationRoutes } from "./routes/profiles"; import { handleApplyRecommendationsRoute } from "./routes/profileApply"; +import { handleRegenerateDescriptionRoute } from "./routes/profileDescription"; /** * The single shared request handler for the unified TS core. @@ -43,5 +44,8 @@ export async function handle(req: Request, platform: Platform): Promise = { + pressure: ' bar', + flow: ' ml/s', + time: ' s', + weight: ' g', +} + +export function resolveDescriptionPlaceholders( + text: string | null | undefined, + variables: ProfileVariable[] = [], +): string { + if (!text) return text ?? '' + let out = text.replace(/\\_/g, '_').replace(/\\\*/g, '*') + const sorted = [...variables] + .filter(v => typeof v.key === 'string' && v.value != null) + .sort((a, b) => (b.key as string).length - (a.key as string).length) + for (const v of sorted) { + const key = v.key as string + const unit = UNIT_BY_TYPE[key.split('_')[0]] ?? '' + const val = `${v.value}${unit}` + out = out.split(`$${key}$`).join(val) + out = out.split(`$${key}`).join(val) + } + out = out.replace(/\$[^\s$]{1,60}\$/g, '') + out = out.replace(/[ \t]{2,}/g, ' ').replace(/[ \t]([.,;:)])/g, '$1') + return out +} + +interface Stage { + name?: string + dynamics?: string + sensor?: string + dynamics_points?: [number, number][] + exit_triggers?: { type: string; value: number }[] +} + +interface ProfileJson { + name?: string + temperature?: number + final_weight?: number + stages?: Stage[] + description?: string + notes?: string + summary?: string +} + +export function buildStaticProfileSummary(profileJson: ProfileJson): string { + const existing = + profileJson.description ?? profileJson.notes ?? profileJson.summary + if (existing) return String(existing).trim() + return generateStaticProfileSummary(profileJson) +} + +export function generateStaticProfileSummary(profileJson: ProfileJson): string { + const temperature = profileJson.temperature + const finalWeight = profileJson.final_weight + const stages: Stage[] = profileJson.stages ?? [] + + const shotTraits: string[] = [] + + for (let i = 0; i < stages.length; i++) { + const stage = stages[i] + if (!stage || typeof stage !== 'object') continue + const sname = (stage.name ?? '').toLowerCase() + const dynamics = stage.dynamics ?? '' + const points = stage.dynamics_points + + if (i === 0 && (/pre/.test(sname) || /infus/.test(sname))) { + shotTraits.push('pre-infusion') + } else if (/bloom|soak/.test(sname)) { + shotTraits.push('bloom') + } else if (/ramp/.test(sname) || dynamics === 'ramp') { + shotTraits.push('ramp') + } else if (/flat/.test(sname) || dynamics === 'flat') { + shotTraits.push('flat') + } else if (/decline|taper/.test(sname)) { + shotTraits.push('decline') + } + + if (Array.isArray(points) && points.length >= 2) { + try { + const pressures = points + .filter((p): p is [number, number] => Array.isArray(p) && p.length >= 2) + .map(p => Number(p[1])) + if ( + pressures.length > 0 && + pressures.every(p => Math.abs(p - pressures[0]) < 0.3) && + pressures[0] >= 8.0 && + pressures[0] <= 10.0 && + !shotTraits.includes('flat') + ) { + shotTraits.push('flat') + } + } catch { + // ignore + } + } + } + + const uniqueTraits = [...new Map(shotTraits.map(t => [t, t])).values()] + + const parts: string[] = [] + if (stages.length > 0) { + const stageCount = `${stages.length}-stage` + if (uniqueTraits.length > 0) { + parts.push(`A ${stageCount} extraction featuring ${uniqueTraits.join(', ')}`) + } else { + parts.push(`A ${stageCount} extraction profile`) + } + } + if (temperature != null) parts.push(`brewed at ${temperature}°C`) + if (finalWeight != null) parts.push(`targeting ~${finalWeight}g yield`) + + return parts.length > 0 ? parts.join(' ') + '.' : 'Profile imported successfully.' +} + +export function buildStaticProfileDescription(profileJson: ProfileJson): string { + const profileName = profileJson.name ?? 'Imported Profile' + const temperature = profileJson.temperature + const finalWeight = profileJson.final_weight + const stages: Stage[] = profileJson.stages ?? [] + + const description = buildStaticProfileSummary(profileJson) + + let expectedTime = 'Not specified' + try { + let totalTime = 0 + for (const stage of stages) { + const points = stage?.dynamics_points + if (Array.isArray(points) && points.length > 0) { + const last = points[points.length - 1] + if (Array.isArray(last) && last.length > 0) { + totalTime += Number(last[0]) + } + } + } + if (totalTime > 0) expectedTime = `~${Math.round(totalTime)}s` + } catch { + // ignore + } + + const tempText = + temperature != null ? `${temperature}°C` : 'Use profile default' + const yieldText = + finalWeight != null ? `${finalWeight}g` : 'Use profile default' + + return ( + `Profile Created: ${profileName}\n\n` + + `Description:\n` + + `${description}\n\n` + + `Preparation:\n` + + `• Dose: Use your standard recipe dose\n` + + `• Grind: Dial in to hit target flow and pressure\n` + + `• Temperature: ${tempText}\n` + + `• Target Yield: ${yieldText}\n` + + `• Expected Time: ${expectedTime}\n\n` + + `Why This Works:\n` + + `This is a summary generated from the profile's stage structure and metadata. ` + + `Enable AI features in Settings for a detailed ` + + `barista-level analysis with expert brewing recommendations.\n\n` + + `Special Notes:\n` + + `This description was generated without AI assistance and may not capture ` + + `all nuances of the extraction design. You can generate a full AI-powered ` + + `description using the "Generate AI descriptions" button in the profile view ` + + `(requires AI features to be enabled in Settings).` + ) +} diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index e25a064b..3cf02ece 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -73,6 +73,10 @@ export interface PlatformStorage { dialInSessions: Repo; pourOverPrefs: Repo; schedules: Repo; + /** AI-generated profile descriptions, keyed by profile name. */ + descriptions: Repo; + /** AI-generated profile tag lists, keyed by profile name. */ + aiTags: Repo; aiCache: Cache; images: BlobStore; } diff --git a/packages/core/src/routes/profileDescription.ts b/packages/core/src/routes/profileDescription.ts new file mode 100644 index 00000000..cd46c086 --- /dev/null +++ b/packages/core/src/routes/profileDescription.ts @@ -0,0 +1,135 @@ +/** + * Regenerate-description route. + * + * Regenerates a profile's human-readable description, preferring an AI write-up + * and falling back to a deterministic static summary. Port of the two parity + * oracles: + * - server: apps/server/api/routes/profiles.py (regenerate_profile_description) + * - native: apps/web/src/services/interceptor/DirectModeInterceptor.ts + * (POST /api/profile/{id}/regenerate-description) + * + * The two oracles resolve the target profile from runtime-specific caches + * (server: profile-generation history; native: machine shot history + in-memory + * profile caches). Those caches do not exist host-independently, so this core + * port resolves the profile through the machine client instead, which is the + * one path available on every host: treat the identifier first as a machine + * profile id, then as a profile name. The browser Platform will map the + * description/ai-tags storage repos onto its existing native caches in Phase 3. + * + * Route (also served under the bare `/profile/{id}/...` alias): + * POST /api/profile/{id}/regenerate-description + * -> { status: "success", description } | { status: "error", detail } + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { AI_TAGS_PROMPT, parseAiTags, stripTagsLine } from "../logic/tags"; +import { + buildStaticProfileDescription, + resolveDescriptionPlaceholders, + type ProfileVariable, +} from "../logic/profileDescription"; + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +/** Resolve the profile JSON from the machine by id, then by name. */ +async function resolveProfile( + platform: Platform, + identifier: string, +): Promise | null> { + // Strategy 1: treat the identifier as a machine profile id directly. + try { + const byId = await platform.machine.fetch(`/api/v1/profile/get/${identifier}`); + if (byId.ok) { + const data: unknown = await byId.json(); + if (isRecord(data) && data.id) return data; + } + } catch { + // fall through to name resolution + } + + // Strategy 2: treat the identifier as a profile name via the catalogue. + try { + const listResp = await platform.machine.fetch("/api/v1/profile/list"); + if (listResp.ok) { + const raw: unknown = await listResp.json(); + const list = Array.isArray(raw) + ? raw + : isRecord(raw) && Array.isArray(raw.profiles) + ? raw.profiles + : []; + const match = list.find( + (entry) => isRecord(entry) && String(entry.name ?? "") === identifier, + ); + if (isRecord(match) && match.id) { + const byName = await platform.machine.fetch(`/api/v1/profile/get/${match.id}`); + if (byName.ok) { + const data: unknown = await byName.json(); + if (isRecord(data) && data.id) return data; + } + } + } + } catch { + // fall through to not-found + } + + return null; +} + +export async function handleRegenerateDescriptionRoute( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const match = pathname.match(/^(?:\/api)?\/profile\/([^/]+)\/regenerate-description$/); + if (!match || req.method !== "POST") return null; + + const entryId = decodeURIComponent(match[1]); + try { + const profileJson = await resolveProfile(platform, entryId); + if (!profileJson) { + return jsonResponse({ status: "error", detail: "History entry not found" }, 404); + } + const profileName = String(profileJson.name ?? "") || entryId; + + if (platform.ai.isConfigured()) { + try { + const resolvedName = + String(profileJson.name ?? "") || profileName || "Unknown Profile"; + const prompt = `You are a specialty coffee expert. Analyze this espresso machine profile JSON and write a detailed description.\n\nProfile name: ${resolvedName}\nProfile JSON:\n${JSON.stringify(profileJson, null, 2)}\n\nWrite the description in this exact format:\nProfile Created: [name]\nDescription: [1-2 sentence overview]\nPreparation: [brewing guidance]\nWhy This Works: [technical explanation]\nSpecial Notes: [any notable aspects]\n\nUse concrete numeric values with units (for example 9 bar, 2.0 ml/s, 30 s). Never output raw variable placeholders such as $name$ and never mention internal stage keys.${AI_TAGS_PROMPT}`; + const response = await platform.ai.generateText({ + contents: [{ role: "user", parts: [{ text: prompt }] }], + }); + const rawText = response.text?.trim(); + if (rawText && !rawText.includes("generated without AI")) { + const aiTags = parseAiTags(rawText); + const profileVars = (Array.isArray(profileJson.variables) + ? profileJson.variables + : []) as ProfileVariable[]; + const description = resolveDescriptionPlaceholders( + stripTagsLine(rawText), + profileVars, + ); + await platform.storage.descriptions.write(profileName, description); + if (aiTags.length) { + await platform.storage.aiTags.write(profileName, aiTags); + } + return jsonResponse({ status: "success", description }); + } + } catch { + // AI failure -> fall back to the static description below. + } + } + + const description = buildStaticProfileDescription(profileJson); + await platform.storage.descriptions.write(profileName, description); + return jsonResponse({ status: "success", description }); + } catch { + return jsonResponse( + { status: "error", detail: "Failed to regenerate description" }, + 500, + ); + } +} diff --git a/packages/core/test/contract/profileDescription.test.ts b/packages/core/test/contract/profileDescription.test.ts new file mode 100644 index 00000000..fa2ef7b5 --- /dev/null +++ b/packages/core/test/contract/profileDescription.test.ts @@ -0,0 +1,111 @@ +import { describe, test, expect } from "vitest" +import { + buildStaticProfileDescription, + resolveDescriptionPlaceholders, + UNIT_BY_TYPE, + type ProfileVariable, +} from "../../src/logic/profileDescription" + +describe("resolveDescriptionPlaceholders", () => { + test("resolves paired and unpaired real variable references with type units", () => { + const variables: ProfileVariable[] = [ + { key: "pressure_peak", value: 9 }, + { key: "flow_target", value: 2.5 }, + { key: "time_bloom", value: 12 }, + { key: "weight_yield", value: 36 }, + ] + + expect( + resolveDescriptionPlaceholders( + "Hold $pressure_peak$ then $flow_target for $time_bloom$ to reach $weight_yield.", + variables, + ), + ).toBe("Hold 9 bar then 2.5 ml/s for 12 s to reach 36 g.") + expect(UNIT_BY_TYPE).toEqual({ + pressure: " bar", + flow: " ml/s", + time: " s", + weight: " g", + }) + }) + + test("replaces longest matching key first when one key prefixes another", () => { + const variables: ProfileVariable[] = [ + { key: "pressure", value: 7 }, + { key: "pressure_long", value: 9 }, + ] + + expect(resolveDescriptionPlaceholders("Use $pressure_long$ then $pressure$.", variables)).toBe( + "Use 9 bar then 7 bar.", + ) + }) + + test("strips invented placeholders, unescapes markdown characters, and tidies punctuation", () => { + expect( + resolveDescriptionPlaceholders( + "Sweet $invented_token$ , bright $pressure\\_max$ and syrupy\\* finish .", + [{ key: "pressure_max", value: 8.5 }], + ), + ).toBe("Sweet, bright 8.5 bar and syrupy* finish.") + }) + + test("returns an empty string for null or undefined input", () => { + expect(resolveDescriptionPlaceholders(null)).toBe("") + expect(resolveDescriptionPlaceholders(undefined)).toBe("") + }) +}) + +describe("buildStaticProfileDescription", () => { + test("builds a structured description from pre-infusion, ramp, temperature, yield, and time", () => { + const profile: Parameters[0] = { + name: "Citrus Climber", + temperature: 93, + final_weight: 36, + stages: [ + { name: "Pre-infusion", dynamics: "flat", dynamics_points: [[0, 2], [8, 2]] }, + { name: "Ramp Up", dynamics: "ramp", dynamics_points: [[0, 2], [18, 9]] }, + ], + } + + const output = buildStaticProfileDescription(profile) + + expect(output).toContain("Profile Created: Citrus Climber") + expect(output).toContain("Description:\nA 2-stage extraction featuring pre-infusion, ramp brewed at 93°C targeting ~36g yield.") + expect(output).toContain("Preparation:") + expect(output).toContain("• Temperature: 93°C") + expect(output).toContain("• Target Yield: 36g") + expect(output).toContain("• Expected Time: ~26s") + expect(output).toContain("Why This Works:") + expect(output).toContain("Special Notes:") + expect(buildStaticProfileDescription(profile)).toBe(output) + }) + + test("uses an explicit description and profile defaults when metadata is absent", () => { + const output = buildStaticProfileDescription({ + name: "Author Notes", + description: "A custom author description.", + stages: [], + }) + + expect(output).toContain("Profile Created: Author Notes") + expect(output).toContain("Description:\nA custom author description.") + expect(output).toContain("• Temperature: Use profile default") + expect(output).toContain("• Target Yield: Use profile default") + expect(output).toContain("• Expected Time: Not specified") + }) + + test("detects bloom and flat pressure traits and falls back to imported profile naming", () => { + const output = buildStaticProfileDescription({ + temperature: 90, + final_weight: 42, + stages: [ + { name: "Bloom Soak", dynamics_points: [[0, 3], [10, 3]] }, + { name: "Main", dynamics_points: [[0, 9], [25, 9.1]] }, + ], + }) + + expect(output).toContain("Profile Created: Imported Profile") + expect(output).toContain("A 2-stage extraction featuring bloom, flat brewed at 90°C targeting ~42g yield.") + expect(output).toContain("• Expected Time: ~35s") + }) +}) diff --git a/packages/core/test/contract/profileRegenerate.test.ts b/packages/core/test/contract/profileRegenerate.test.ts new file mode 100644 index 00000000..3374ee0f --- /dev/null +++ b/packages/core/test/contract/profileRegenerate.test.ts @@ -0,0 +1,91 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine, scriptedAI } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import { buildStaticProfileDescription } from "../../src/logic/profileDescription"; + +const PROFILE = { + id: "abc123", + name: "Fruity Turbo", + temperature: 93, + final_weight: 40, + variables: [{ key: "pressure_Peak", type: "pressure", value: 9 }], + stages: [ + { name: "Preinfusion", dynamics_points: [[0, 4]] }, + { name: "Infusion", dynamics_points: [[0, 6], [25, 6]] }, + ], +}; + +function post(path: string): Request { + return new Request(`http://core.test${path}`, { method: "POST", body: new FormData() }); +} + +/** Machine that serves the profile by id and via the catalogue by name. */ +const machine = () => + scriptedMachine({ + "/api/v1/profile/get/abc123": PROFILE, + "/api/v1/profile/list": [{ id: "abc123", name: "Fruity Turbo" }], + }); + +const ROUTE = "/api/profile/abc123/regenerate-description"; + +describe("POST /api/profile/{id}/regenerate-description", () => { + test("returns an AI description, resolving placeholders and caching tags", async () => { + const aiText = + "Profile Created: Fruity Turbo\nDescription: A punchy shot at $pressure_Peak.\n\nTags: Light Body, Acidity"; + const p = makeMockPlatform({ machine: machine(), ai: scriptedAI(aiText) }); + const res = await handle(post(ROUTE), p); + const body = await res.json(); + expect(body.status).toBe("success"); + // placeholder resolved to value + unit, Tags line stripped + expect(body.description).toContain("9 bar"); + expect(body.description).not.toContain("$pressure_Peak"); + expect(body.description).not.toMatch(/Tags:/); + // description + ai-tags cached under the profile name + expect(await p.storage.descriptions.read("Fruity Turbo")).toBe(body.description); + expect(await p.storage.aiTags.read("Fruity Turbo")).toEqual(["Light Body", "Acidity"]); + }); + + test("falls back to the static description when AI is not configured", async () => { + const p = makeMockPlatform({ machine: machine() }); // default unconfigured AI + const res = await handle(post(ROUTE), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.description).toBe(buildStaticProfileDescription(PROFILE as unknown as Parameters[0])); + expect(await p.storage.descriptions.read("Fruity Turbo")).toBe(body.description); + }); + + test("falls back to static when the AI output signals it was generated without AI", async () => { + const p = makeMockPlatform({ + machine: machine(), + ai: scriptedAI("This description was generated without AI assistance."), + }); + const res = await handle(post(ROUTE), p); + const body = await res.json(); + expect(body.description).toBe(buildStaticProfileDescription(PROFILE as unknown as Parameters[0])); + }); + + test("resolves the identifier as a profile name when it is not a machine id", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle(post("/api/profile/Fruity%20Turbo/regenerate-description"), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.description).toBe(buildStaticProfileDescription(PROFILE as unknown as Parameters[0])); + }); + + test("returns 404 when the profile cannot be resolved", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/list": [] }), + }); + const res = await handle(post("/api/profile/ghost/regenerate-description"), p); + expect(res.status).toBe(404); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.detail).toBe("History entry not found"); + }); + + test("is served under the bare /profile/{id}/... alias", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle(post("/profile/abc123/regenerate-description"), p); + expect((await res.json()).status).toBe("success"); + }); +}); diff --git a/packages/core/test/mockPlatform.ts b/packages/core/test/mockPlatform.ts index e4231093..df837839 100644 --- a/packages/core/test/mockPlatform.ts +++ b/packages/core/test/mockPlatform.ts @@ -124,6 +124,8 @@ export function makeMockPlatform(overrides: Partial = {}): Platform { dialInSessions: memRepo(), pourOverPrefs: memRepo(), schedules: memRepo(), + descriptions: memRepo(), + aiTags: memRepo(), aiCache: memCache(), images: memBlobStore(), }, From d8e8c04a33e4509c8385af0fb5a81c70a2739ebe Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 18:28:31 +0200 Subject: [PATCH 20/62] feat(core): port analyze_and_profile (full profile generation) into the core package Ports the flagship profile-generation route to @metic/core against the Platform seam: builds the full profiling prompt (+optional image), runs the AI generate/validate/retry loop, converts the Gemini JSON to OEPF, and writes the new profile to the machine, caching the analysis text as its description. Adds profileValidator, oepf, and the prompt/validate/retry helpers, all ported byte/logic-identical from the native oracle. Fixes a latent parity bug in the OEPF converter (both runtimes): object-form dynamics whose points were already [t, v] arrays skipped $ref/number resolution, so arithmetic expression strings (e.g. "10000 * ($ratio / 2.5)") survived and the machine rejected the save with "is not referencing a variable but is a string". Now array-form points are resolved like the other two dynamics branches. Live-verified end-to-end against machine 192.168.50.168 + real Gemini: profile generated, saved to the machine, then cleaned up. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../interceptor/DirectModeInterceptor.ts | 14 +- packages/core/package.json | 6 +- packages/core/src/ai/profilePromptFull.ts | 297 ++++++++++++++++ packages/core/src/handler.ts | 4 + packages/core/src/logic/oepf.ts | 137 ++++++++ packages/core/src/logic/profileValidator.ts | 325 ++++++++++++++++++ packages/core/src/routes/analyzeAndProfile.ts | 167 +++++++++ .../test/contract/analyzeAndProfile.test.ts | 166 +++++++++ packages/core/test/contract/oepf.test.ts | 172 +++++++++ .../test/contract/profilePromptFull.test.ts | 94 +++++ .../test/contract/profileValidator.test.ts | 112 ++++++ 11 files changed, 1489 insertions(+), 5 deletions(-) create mode 100644 packages/core/src/logic/oepf.ts create mode 100644 packages/core/src/logic/profileValidator.ts create mode 100644 packages/core/src/routes/analyzeAndProfile.ts create mode 100644 packages/core/test/contract/analyzeAndProfile.test.ts create mode 100644 packages/core/test/contract/oepf.test.ts create mode 100644 packages/core/test/contract/profilePromptFull.test.ts create mode 100644 packages/core/test/contract/profileValidator.test.ts diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.ts index c40fa88a..0404c603 100644 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.ts +++ b/apps/web/src/services/interceptor/DirectModeInterceptor.ts @@ -3433,10 +3433,16 @@ export function installDirectModeInterceptor(): void { } } else if (dynamics && typeof dynamics === 'object') { const d = dynamics as Record - if (Array.isArray(d.points) && d.points.length > 0 && typeof d.points[0] === 'object' && !Array.isArray(d.points[0])) { - d.points = (d.points as Array>).map(pt => [ - Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 - ]) + if (Array.isArray(d.points) && d.points.length > 0) { + if (Array.isArray(d.points[0])) { + d.points = (d.points as Array>).map(pt => [ + Number(resolve(pt[0])) || 0, Number(resolve(pt[1])) || 0 + ]) + } else if (typeof d.points[0] === 'object') { + d.points = (d.points as Array>).map(pt => [ + Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 + ]) + } } if (!d.over) d.over = 'time' if (!d.interpolation) d.interpolation = 'linear' diff --git a/packages/core/package.json b/packages/core/package.json index d5ce5d89..3b4285bc 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -20,9 +20,12 @@ "./logic/profileDescription": "./src/logic/profileDescription.ts", "./logic/profileRecommendation": "./src/logic/profileRecommendation.ts", "./logic/recommendationsParse": "./src/logic/recommendationsParse.ts", + "./logic/profileValidator": "./src/logic/profileValidator.ts", + "./logic/oepf": "./src/logic/oepf.ts", "./ai/aiErrors": "./src/ai/aiErrors.ts", "./ai/analysisKnowledge": "./src/ai/analysisKnowledge.ts", "./ai/prompts": "./src/ai/prompts.ts", + "./ai/profilePromptFull": "./src/ai/profilePromptFull.ts", "./routes/annotations": "./src/routes/annotations.ts", "./routes/dialin": "./src/routes/dialin.ts", "./routes/dialinPrompt": "./src/routes/dialinPrompt.ts", @@ -31,7 +34,8 @@ "./routes/shots": "./src/routes/shots.ts", "./routes/profiles": "./src/routes/profiles.ts", "./routes/profileApply": "./src/routes/profileApply.ts", - "./routes/profileDescription": "./src/routes/profileDescription.ts" + "./routes/profileDescription": "./src/routes/profileDescription.ts", + "./routes/analyzeAndProfile": "./src/routes/analyzeAndProfile.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/ai/profilePromptFull.ts b/packages/core/src/ai/profilePromptFull.ts index 2e32bbcd..d197e107 100644 --- a/packages/core/src/ai/profilePromptFull.ts +++ b/packages/core/src/ai/profilePromptFull.ts @@ -1,3 +1,171 @@ +/** + * Full profile generation prompt + validation/retry logic + * used by BrowserAIService. + * + * Matches the server's prompt structure from apps/server/api/routes/coffee.py + * for full parity in direct/PWA mode. + */ + +import { validateProfile } from "../logic/profileValidator" + +const MAX_VALIDATION_RETRIES = 2 + +// ── Prompt Sections ────────────────────────────────────────────────────── + +const BARISTA_PERSONA = `PERSONA: You are a modern, experimental barista with deep expertise in espresso profiling. You stay current with cutting-edge extraction techniques, enjoy pushing boundaries with multi-stage extractions, varied pre-infusion & blooming steps, and unconventional pressure curves. You're creative, slightly irreverent, and love clever coffee puns. + +` + +const PROFILE_GUIDELINES = `PROFILE CREATION GUIDELINES: +• USER PREFERENCES ARE MANDATORY: If the user specifies a dose, grind, temperature, ratio, or any other parameter, you MUST use EXACTLY that value. Do NOT override with defaults. +• Examples: If user says '20g dose' → use 20g, NOT 18g. If user says '94°C' → use 94°C. If user says '1:2.5 ratio' → calculate output accordingly. +• Only use standard defaults (18g dose, 93°C, etc.) when the user has NOT specified a preference. +• Support complex recipes: multi-stage extraction, multiple pre-infusion steps, blooming phases +• Consider flow profiling, pressure ramping, and temperature surfing techniques +• Design for the specific bean characteristics (origin, roast level, flavor notes) +• Balance extraction science with creative experimentation + +VARIABLES (REQUIRED): +• The 'variables' array serves TWO purposes: adjustable parameters AND essential preparation info +• ALWAYS include the 'variables' array - it is REQUIRED for app compatibility + +⚠️ NAMING VALIDATION RULES: +• INFO variables (key starts with 'info_'): Name MUST start with an emoji (☕🔧💧⚠️🎯 etc.) +• ADJUSTABLE variables (no 'info_' prefix): Name must NOT start with an emoji + +1. PREPARATION INFO (include first - only essentials needed to make the profile work): + • ☕ Dose: ALWAYS first - use type 'weight' so it displays correctly + Format: {"name": "☕ Dose", "key": "info_dose", "type": "weight", "value": 18} + • Only add other info variables if ESSENTIAL: + - 💧 Dilute: Only for profiles that REQUIRE dilution (lungo, allongé) + - 🔧 Bottom Filter: Only if the profile specifically REQUIRES it + - ⚠️ Aberrant Prep: For UNUSUAL preparation that differs from normal espresso + • POWER TYPE VALUES: value 100 = enabled, 0 = disabled + +2. ADJUSTABLE VARIABLES (for parameters used in stages): + • Define variables for key adjustable parameters + • Names should be descriptive WITHOUT emojis (e.g., 'Peak Pressure', 'Pre-Infusion Flow') + • Reference these in dynamics using $ prefix: {"value": "$peak_pressure"} + • ALL adjustable variables MUST be used in at least one stage! + +VARIABLE FORMAT EXAMPLE: +"variables": [ + {"name": "☕ Dose", "key": "info_dose", "type": "weight", "value": 18}, + {"name": "🔧 Use bottom filter", "key": "info_filter", "type": "power", "value": 100}, + {"name": "Peak Pressure", "key": "peak_pressure", "type": "pressure", "value": 9.0}, + {"name": "Pre-Infusion Pressure", "key": "preinfusion_pressure", "type": "pressure", "value": 3.0} +] + +TIME VALUES (CRITICAL — ALWAYS USE RELATIVE): +• ALL time-based exit triggers MUST use "relative": true +• ALL dynamics_points x-axis values are ALWAYS relative to stage start (0 = stage start) +• NEVER use "relative": false on time exit triggers + +STAGE LIMITS (CRITICAL SAFETY): +• EVERY flow stage MUST have a pressure limit +• EVERY pressure stage MUST have a flow limit +• Flow stages during pre-infusion/blooming: pressure limit 3-5 bar +• Flow stages during main extraction: pressure limit 9-10 bar +• Pressure stages: flow limit 4-6 ml/s + +` + +const VALIDATION_RULES = `VALIDATION RULES (your profile WILL be rejected if these are violated): + +1. EXIT TRIGGER / STAGE TYPE PARADOX: + • A flow stage must NOT have a flow exit trigger + • A pressure stage must NOT have a pressure exit trigger + +2. BACKUP EXIT TRIGGERS (failsafe): + • Every stage MUST have EITHER multiple exit triggers OR at least one time trigger + • A single non-time trigger will be rejected — add a time failsafe + +3. REQUIRED SAFETY LIMITS (cross-type): + • Flow stages MUST have a pressure limit + • Pressure stages MUST have a flow limit + • A limit CANNOT have the same type as the stage + +4. INTERPOLATION: Only 'linear' and 'curve' are valid. 'none' is NOT supported. + +5. DYNAMICS.OVER: Must be 'time', 'weight', or 'piston_position'. + +6. STAGE TYPES: Must be 'power', 'flow', or 'pressure'. + +7. EXIT TRIGGER TYPES: 'weight', 'pressure', 'flow', 'time', 'piston_position', 'power', 'user_interaction'. Comparison: '>=' or '<='. + +8. PRESSURE LIMITS: Max 15 bar. No negatives. + +9. ABSOLUTE WEIGHT: Must be strictly increasing across stages. Prefer relative: true. + +10. VARIABLES: Info keys → emoji prefix. Adjustable → no emoji. All adjustable must be used in stages. + +QUICK REFERENCE — VALID STAGE PATTERNS: +• Flow stage: limits=[{pressure}], exit_triggers=[{weight, ...}, {time, ...}] ✅ +• Pressure stage: limits=[{flow}], exit_triggers=[{weight, ...}, {time, ...}] ✅ +• Flow stage with flow exit trigger: ❌ PARADOX +• Any stage with single non-time trigger and no backup: ❌ NO FAILSAFE + +` + +const ERROR_RECOVERY = `ERROR RECOVERY: +• Read ALL validation errors carefully before making changes +• Fix ALL errors in a SINGLE retry +• If a complex design keeps failing, fall back to a simpler but still excellent profile + +` + +const NAMING_CONVENTION = `NAMING CONVENTION: +• Create a UNIQUE, witty, pun-heavy name - NEVER reuse names! +• Draw inspiration from: coffee origins, flavor notes, extraction technique, brewing style +• Balance humor with clarity +• AVOID generic names like 'Berry Blast', 'Morning Brew', 'Classic Espresso' + +` + +const SDK_OUTPUT_INSTRUCTIONS = `SDK EXECUTION MODE (MANDATORY): +• Do NOT call tools. Return ONLY the final user-facing summary and a PROFILE JSON block +• Include PROFILE JSON as a fenced \`\`\`json block +• In the profile JSON, include a 'display' object with a 'description' field (markdown, 2-4 sentences) + +` + +const OUTPUT_FORMAT = `OUTPUT FORMAT (use this exact format): +--- +**Profile Created:** [Name] + +**Description:** [What makes this profile special - 1-2 sentences] + +**Preparation:** +- Dose: [X]g +- Grind: [description] +- Temperature: [X]°C +- [Any other prep steps] + +**Why This Works:** [Science and reasoning] + +**Special Notes:** [Equipment/technique requirements, or 'None'] +--- + +PROFILE JSON: +\`\`\`json +[Include the EXACT JSON here] +\`\`\` + +` + +const OEPF_REFERENCE = `OEPF FORMAT SUMMARY: +Profile JSON structure: {name, author, stages[], variables[], temperature} +• temperature: number in °C (e.g., 93) +• Each stage: {name, type, dynamics, limits[], exit_triggers[], exit_type?} +• dynamics: {points: [[x, y], ...], over: 'time'|'weight'|'piston_position', interpolation: 'linear'|'curve'} +• limits: [{type, value}] — cross-type only +• exit_triggers: [{type, value, comparison, relative?}] — comparison is '>=' or '<=' +• exit_type: 'or' (default) or 'and' +• variables: [{name, key, type, value}] — type is 'pressure'|'flow'|'weight'|'power'|'time' +• Reference variables in dynamics with $ prefix: {"points": [[0, "$peak_pressure"]]} + +` + export const PROFILING_KNOWLEDGE = `ESPRESSO PROFILING GUIDE: ## Core Concepts @@ -50,3 +218,132 @@ The machine only honors native exit trigger types ("weight", "pressure", "flow", ❌ Recommending weight exit triggers for the overall profile or final stage — all Meticulous profiles already have an automatic weight-based exit trigger handled by the machine firmware ` + +const VALIDATION_RETRY_PROMPT = `The profile JSON you generated has validation errors. Fix ALL of the following errors and return ONLY the corrected JSON in a fenced \`\`\`json block. Do not include any other text. + +ERRORS: +{errors} + +ORIGINAL JSON: +\`\`\`json +{json} +\`\`\`` + +// ── Exported Functions ─────────────────────────────────────────────────── + +/** Build the full profile generation prompt (matches server structure). */ +export function buildFullProfilePrompt( + authorName: string, + preferences: string, + tags: string[], + hasImage: boolean, +): string { + const authorSection = `AUTHOR:\n• Set the 'author' field in the profile JSON to: "${authorName}"\n\n` + + const allPrefs = [preferences, ...tags].filter(Boolean).join(', ') + + let taskSection: string + if (hasImage && allPrefs) { + taskSection = ( + `CONTEXT: You control a Meticulous Espresso Machine via local API.\n` + + `Analyze the coffee bag image.\n\n` + + `⚠️ MANDATORY USER REQUIREMENTS (MUST BE FOLLOWED EXACTLY):\n` + + `'${allPrefs}'\nYou MUST honor ALL parameters specified above.\n\n` + + `TASK: Create a sophisticated espresso profile based on the coffee analysis while strictly adhering to the user's requirements above.\n` + ) + } else if (hasImage) { + taskSection = ( + `CONTEXT: You control a Meticulous Espresso Machine via local API.\n` + + `Analyze the coffee bag image.\n\n` + + `TASK: Create a sophisticated espresso profile for this coffee.\n` + ) + } else { + taskSection = ( + `CONTEXT: You control a Meticulous Espresso Machine via local API.\n\n` + + `⚠️ MANDATORY USER REQUIREMENTS (MUST BE FOLLOWED EXACTLY):\n` + + `'${allPrefs}'\nYou MUST honor ALL parameters specified above.\n\n` + + `TASK: Create a sophisticated espresso profile while strictly adhering to the user's requirements above.\n` + ) + } + + return ( + BARISTA_PERSONA + + PROFILE_GUIDELINES + + VALIDATION_RULES + + ERROR_RECOVERY + + NAMING_CONVENTION + + authorSection + + SDK_OUTPUT_INSTRUCTIONS + + OUTPUT_FORMAT + + PROFILING_KNOWLEDGE + + OEPF_REFERENCE + + taskSection + ) +} + +function extractProfileJson(reply: string): Record | null { + const match = reply.match(/```json\s*([\s\S]*?)```/) + if (!match) return null + try { + return JSON.parse(match[1]) + } catch { + return null + } +} + +/** + * Validate an extracted profile and retry with the LLM if validation fails. + * Mirrors the server's validation + retry loop. + */ +export async function validateAndRetryProfile( + reply: string, + generateFix: (prompt: string) => Promise, +): Promise<{ profileJson: Record | null; reply: string }> { + let profileJson = extractProfileJson(reply) + let currentReply = reply + let attempt = 0 + + while (attempt <= MAX_VALIDATION_RETRIES) { + if (!profileJson) { + if (attempt < MAX_VALIDATION_RETRIES) { + attempt++ + const retryText = await generateFix( + 'Your previous response did not contain a valid JSON profile block. ' + + 'Please generate the complete profile JSON in a fenced ```json block. ' + + 'Include the full profile object with name, stages, variables, and temperature.', + ) + profileJson = extractProfileJson(retryText) + if (profileJson) { + currentReply += '\n\nPROFILE JSON:\n```json\n' + JSON.stringify(profileJson, null, 2) + '\n```' + } + continue + } + break + } + + const result = validateProfile(profileJson) + if (result.isValid) break + + if (attempt < MAX_VALIDATION_RETRIES) { + attempt++ + const errorSummary = result.errors.map((e, i) => `${i + 1}. ${e}`).join('\n') + const fixPrompt = VALIDATION_RETRY_PROMPT + .replace('{errors}', errorSummary) + .replace('{json}', JSON.stringify(profileJson, null, 2)) + + const fixText = await generateFix(fixPrompt) + const fixedJson = extractProfileJson(fixText) + if (fixedJson) { + profileJson = fixedJson + currentReply = currentReply.replace( + /```json\s*[\s\S]*?```/, + '```json\n' + JSON.stringify(fixedJson, null, 2) + '\n```', + ) + } + continue + } + break + } + + return { profileJson, reply: currentReply } +} diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 80910501..dafad74a 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -7,6 +7,7 @@ import { handleShotAnalysisRoutes } from "./routes/shots"; import { handleProfileRecommendationRoutes } from "./routes/profiles"; import { handleApplyRecommendationsRoute } from "./routes/profileApply"; import { handleRegenerateDescriptionRoute } from "./routes/profileDescription"; +import { handleAnalyzeAndProfileRoute } from "./routes/analyzeAndProfile"; /** * The single shared request handler for the unified TS core. @@ -47,5 +48,8 @@ export async function handle(req: Request, platform: Platform): Promise): Record { + const slugify = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, '_').replace(/_+$/, '') + const uuid = () => 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => { + const r = Math.random() * 16 | 0 + return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16) + }) + const varLookup: Record = {} + if (Array.isArray(p.variables)) { + for (const v of p.variables as Array>) { + if (v.key && typeof v.value === 'number') varLookup[v.key as string] = v.value + if (v.name && typeof v.value === 'number') varLookup[v.name as string] = v.value + } + } else if (p.variables && typeof p.variables === 'object') { + for (const [k, v] of Object.entries(p.variables as Record)) { + const num = typeof v === 'number' ? v : typeof v === 'object' && v !== null ? (v as Record).value : undefined + if (typeof num === 'number') varLookup[k] = num + } + } + const resolve = (val: unknown): unknown => { + if (typeof val === 'string' && val.startsWith('$')) { + const name = val.slice(1) + return varLookup[name] ?? 0 + } + return val + } + const validTypes = ['power', 'flow', 'pressure', 'weight', 'time', 'piston_position'] + const infoTypeAliases = ['info', 'information', 'display', 'readonly', 'read_only'] + const emojiRegex = /^\p{Extended_Pictographic}/u + const infoEmojiMap: Record = { + dose: '☕', ratio: '📏', grind: '⚙️', roast: '🔥', bean: '🫘', + beans: '🫘', origin: '🌍', water: '💧', yield: '⚖️', output: '⚖️', + notes: '📝', method: '📋', recipe: '📋', default: 'ℹ️', + } + function ensureEmojiPrefix(name: string): string { + if (emojiRegex.test(name)) return name + const lower = name.toLowerCase() + for (const [keyword, emoji] of Object.entries(infoEmojiMap)) { + if (keyword !== 'default' && lower.includes(keyword)) return `${emoji} ${name}` + } + return `ℹ️ ${name}` + } + const vars: Array> = [] + if (Array.isArray(p.variables)) { + for (const v of (p.variables as Array>)) { + if (typeof v.value !== 'number') continue + const varType = String(v.type ?? '') + const varKey = String(v.key ?? v.name ?? '') + const varName = String(v.name ?? v.key ?? '') + if (validTypes.includes(varType)) { + vars.push(v) + } else if (infoTypeAliases.includes(varType.toLowerCase()) || varKey.startsWith('info_')) { + const preservedType = validTypes.includes(varType) ? varType : 'power' + const infoKey = varKey.startsWith('info_') ? varKey : `info_${slugify(varKey || varName)}` + if (!infoKey || infoKey === 'info_') continue + vars.push({ + ...v, + key: infoKey, + name: ensureEmojiPrefix(varName), + type: preservedType, + }) + } + } + } + const stages = Array.isArray(p.stages) ? (p.stages as Array>).map((s, i) => { + let dynamics = s.dynamics + if (Array.isArray(dynamics)) { + dynamics = { + points: (dynamics as Array>).map(pt => [ + Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 + ]), + over: 'time', interpolation: 'linear', + } + } else if (dynamics && typeof dynamics === 'object') { + const d = dynamics as Record + if (Array.isArray(d.points) && d.points.length > 0) { + if (Array.isArray(d.points[0])) { + d.points = (d.points as Array>).map(pt => [ + Number(resolve(pt[0])) || 0, Number(resolve(pt[1])) || 0 + ]) + } else if (typeof d.points[0] === 'object') { + d.points = (d.points as Array>).map(pt => [ + Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 + ]) + } + } + if (!d.over) d.over = 'time' + if (!d.interpolation) d.interpolation = 'linear' + } + const typeMap: Record = { flowRate: 'flow', flow_rate: 'flow', flowrate: 'flow' } + let type = typeMap[s.type as string] || (s.type as string) + if (!['power', 'flow', 'pressure'].includes(type)) type = 'pressure' + const triggerTypes = ['weight', 'pressure', 'flow', 'time', 'piston_position', 'power', 'user_interaction'] + const mapTriggerType = (t: string) => { + if (triggerTypes.includes(t)) return t + if (/weight|dose|grams/i.test(t)) return 'weight' + if (/time|duration|elapsed/i.test(t)) return 'time' + if (/pressure/i.test(t)) return 'pressure' + if (/flow/i.test(t)) return 'flow' + return 'time' + } + const triggers = Array.isArray(s.exit_triggers) + ? (s.exit_triggers as Array>).map(t => ({ + type: mapTriggerType(String(t.type || 'time')), + value: Number(resolve(t.value)) || 0, + relative: t.relative ?? true, + comparison: t.comparison || t.comparator || '>=', + })) + : [] + const limits = Array.isArray(s.limits) + ? (s.limits as Array>).map(l => { + let lt = String(l.type || 'pressure') + if (lt !== 'pressure' && lt !== 'flow') { + lt = /flow/i.test(lt) ? 'flow' : 'pressure' + } + return { type: lt, value: Number(resolve(l.value)) || 0 } + }) + : [] + return { + name: s.name || `Stage ${i + 1}`, + key: s.key || slugify(String(s.name || `stage_${i + 1}`)), + type, dynamics, exit_triggers: triggers, limits, + } + }) : [] + return { + name: p.name || 'AI Generated Profile', + id: uuid(), + author: typeof p.author === 'string' ? p.author : 'MeticAI', + author_id: uuid(), + previous_authors: [], + display: { accentColor: '#6366f1' }, + temperature: p.temperature ?? 93, + final_weight: p.final_weight ?? 36, + variables: vars, + stages, + last_changed: Date.now() / 1000, + } +} diff --git a/packages/core/src/logic/profileValidator.ts b/packages/core/src/logic/profileValidator.ts new file mode 100644 index 00000000..584786ff --- /dev/null +++ b/packages/core/src/logic/profileValidator.ts @@ -0,0 +1,325 @@ +/** + * Profile Validator — TypeScript port of apps/server/services/validation_service.py + * + * Enforces OEPF structural validation rules programmatically in the browser. + * Used by BrowserAIService.ts to validate AI-generated + * profiles before uploading to the machine. + */ + +export interface ValidationResult { + isValid: boolean + errors: string[] +} + +interface Stage { + name?: string + type?: string + dynamics?: { + points?: unknown[][] + over?: string + interpolation?: string + } + limits?: { type?: string; value?: unknown }[] + exit_triggers?: { + type?: string + value?: unknown + comparison?: string + relative?: boolean + }[] + exit_type?: string + [key: string]: unknown +} + +interface Variable { + name?: string + key?: string + type?: string + value?: unknown + adjustable?: boolean +} + +interface Profile { + name?: string + author?: string + temperature?: number + stages?: Stage[] + variables?: Variable[] + [key: string]: unknown +} + +/** Recursively collect all $key variable references from an object. */ +function collectRefs(obj: unknown, refs: Set): void { + if (typeof obj === 'string') { + if (obj.startsWith('$')) refs.add(obj.slice(1)) + } else if (Array.isArray(obj)) { + for (const item of obj) collectRefs(item, refs) + } else if (obj && typeof obj === 'object') { + for (const val of Object.values(obj)) collectRefs(val, refs) + } +} + +/** Check if a string starts with an emoji (common emoji ranges). */ +function startsWithEmoji(str: string): boolean { + if (!str) return false + // Match common emoji code point ranges + const cp = str.codePointAt(0) ?? 0 + return ( + (cp >= 0x1F300 && cp <= 0x1FAFF) || // Misc Symbols, Emoticons, etc. + (cp >= 0x2600 && cp <= 0x27BF) || // Misc Symbols + (cp >= 0x2700 && cp <= 0x27BF) || // Dingbats + (cp >= 0xFE00 && cp <= 0xFE0F) || // Variation selectors + (cp >= 0x200D && cp <= 0x200D) || // ZWJ + cp === 0x2615 || cp === 0x2699 || // ☕ ⚙ + cp === 0x26A0 || cp === 0x1F527 || // ⚠ 🔧 + cp === 0x1F4A7 || cp === 0x1F3AF // 💧 🎯 + ) +} + +const VALID_STAGE_TYPES = new Set(['power', 'flow', 'pressure']) +const VALID_EXIT_TRIGGER_TYPES = new Set([ + 'weight', 'pressure', 'flow', 'time', 'piston_position', 'power', 'user_interaction', + 'flow_dose_correlation', 'pressure_rise', +]) +const VALID_COMPARISONS = new Set(['>=', '<=']) +const VALID_DYNAMICS_OVER = new Set(['time', 'weight', 'piston_position']) +const VALID_INTERPOLATIONS = new Set(['linear', 'curve']) + +/** + * Validate an OEPF profile JSON object. + * + * Checks the same rules as the Python server's validation_service.py: + * 1. Exit trigger paradox (flow stage can't have flow trigger, etc.) + * 2. Backup triggers (every stage needs time backup or multiple triggers) + * 3. Cross-type limits (flow→pressure limit, pressure→flow limit) + * 4. Valid interpolation values + * 5. Valid dynamics.over values + * 6. Valid stage types + * 7. Valid exit trigger types + comparison operators + * 8. Pressure limits (max 15 bar, no negatives) + * 9. Absolute weight must be strictly increasing + * 10. Variable naming rules (emoji for info, no emoji for adjustable) + */ +export function validateProfile(profile: unknown): ValidationResult { + const errors: string[] = [] + + if (!profile || typeof profile !== 'object') { + return { isValid: false, errors: ['Profile must be a JSON object'] } + } + + const p = profile as Profile + + // Required top-level fields + if (!p.name) errors.push("Missing required field: 'name'") + if (!Array.isArray(p.stages)) errors.push("Missing or invalid 'stages' array") + if (!p.stages?.length) errors.push('Profile must have at least one stage') + + // Track absolute weight triggers for monotonicity check + let lastAbsoluteWeight = -Infinity + + for (let i = 0; i < (p.stages ?? []).length; i++) { + const stage = p.stages![i] + if (!stage || typeof stage !== 'object') { + errors.push(`Stage ${i + 1}: must be a JSON object`) + continue + } + + const sname = stage.name || `Stage ${i + 1}` + const stype = stage.type + + // Rule 6: Stage type validation + if (!VALID_STAGE_TYPES.has(stype ?? '')) { + errors.push( + `Stage '${sname}': type must be 'power', 'flow', or 'pressure', got '${stype}'`, + ) + } + + // Exit triggers required + const triggers = stage.exit_triggers ?? [] + if (!triggers.length) { + errors.push(`Stage '${sname}': missing exit_triggers`) + } else { + const triggerTypes = new Set( + triggers.filter(t => t && typeof t === 'object').map(t => t.type), + ) + + // Rule 1: Paradox check + if (stype && triggerTypes.has(stype) && (stype === 'flow' || stype === 'pressure')) { + errors.push( + `Stage '${sname}': ${stype} stage cannot have a ${stype} exit trigger (paradox)`, + ) + } + + // Rule 2: Backup trigger check + if (triggers.length === 1 && !triggerTypes.has('time')) { + errors.push( + `Stage '${sname}': single non-time exit trigger needs a time backup`, + ) + } + + // Rule 7: Validate each trigger's type and comparison + for (const trigger of triggers) { + if (!trigger || typeof trigger !== 'object') continue + if (trigger.type && !VALID_EXIT_TRIGGER_TYPES.has(trigger.type)) { + errors.push( + `Stage '${sname}': invalid exit trigger type '${trigger.type}'`, + ) + } + if (trigger.comparison && !VALID_COMPARISONS.has(trigger.comparison)) { + errors.push( + `Stage '${sname}': exit trigger comparison must be '>=' or '<=', got '${trigger.comparison}'`, + ) + } + + // Rule 8: Pressure limits in triggers + if (trigger.type === 'pressure') { + const val = Number(trigger.value) + if (!isNaN(val)) { + if (val > 15) errors.push(`Stage '${sname}': pressure trigger exceeds 15 bar (${val})`) + if (val < 0) errors.push(`Stage '${sname}': negative pressure trigger value (${val})`) + } + } + + // Rule 9: Absolute weight monotonicity + if (trigger.type === 'weight' && trigger.relative !== true) { + const val = Number(trigger.value) + if (!isNaN(val)) { + if (val <= lastAbsoluteWeight) { + errors.push( + `Stage '${sname}': absolute weight trigger (${val}g) must be > previous stage's (${lastAbsoluteWeight}g)`, + ) + } + lastAbsoluteWeight = val + } + } + } + } + + // Rule 3: Cross-type limits check + const limits = stage.limits ?? [] + if (stype === 'flow') { + const hasPressureLimit = limits.some( + lim => lim && typeof lim === 'object' && lim.type === 'pressure', + ) + if (!hasPressureLimit) { + errors.push(`Stage '${sname}': flow stage must have a pressure limit`) + } + // Check for same-type limit (invalid) + const hasSameTypeLimit = limits.some( + lim => lim && typeof lim === 'object' && lim.type === 'flow', + ) + if (hasSameTypeLimit) { + errors.push(`Stage '${sname}': flow stage cannot have a flow limit (same-type)`) + } + } else if (stype === 'pressure') { + const hasFlowLimit = limits.some( + lim => lim && typeof lim === 'object' && lim.type === 'flow', + ) + if (!hasFlowLimit) { + errors.push(`Stage '${sname}': pressure stage must have a flow limit`) + } + const hasSameTypeLimit = limits.some( + lim => lim && typeof lim === 'object' && lim.type === 'pressure', + ) + if (hasSameTypeLimit) { + errors.push(`Stage '${sname}': pressure stage cannot have a pressure limit (same-type)`) + } + } + + // Rule 8: Pressure limits in stage limits + for (const lim of limits) { + if (!lim || typeof lim !== 'object') continue + if (lim.type === 'pressure') { + const val = Number(lim.value) + if (!isNaN(val)) { + if (val > 15) errors.push(`Stage '${sname}': pressure limit exceeds 15 bar (${val})`) + if (val < 0) errors.push(`Stage '${sname}': negative pressure limit value (${val})`) + } + } + } + + // Dynamics validation + const dynamics = stage.dynamics + if (dynamics && typeof dynamics === 'object') { + // Rule 5: dynamics.over + if (dynamics.over && !VALID_DYNAMICS_OVER.has(dynamics.over)) { + errors.push( + `Stage '${sname}': dynamics.over must be 'time', 'weight', or 'piston_position', got '${dynamics.over}'`, + ) + } + + // Rule 4: interpolation + if (dynamics.interpolation && !VALID_INTERPOLATIONS.has(dynamics.interpolation)) { + errors.push( + `Stage '${sname}': interpolation must be 'linear' or 'curve', got '${dynamics.interpolation}'`, + ) + } + + // Curve needs 2+ points + if (dynamics.interpolation === 'curve' && Array.isArray(dynamics.points) && dynamics.points.length < 2) { + errors.push( + `Stage '${sname}': 'curve' interpolation requires at least 2 dynamics points`, + ) + } + + // Rule 8: Pressure limits in dynamics points + if (stype === 'pressure' && Array.isArray(dynamics.points)) { + for (const point of dynamics.points) { + if (!Array.isArray(point) || point.length < 2) continue + const val = typeof point[1] === 'string' && (point[1] as string).startsWith('$') + ? NaN // Skip variable references + : Number(point[1]) + if (!isNaN(val)) { + if (val > 15) errors.push(`Stage '${sname}': dynamics pressure exceeds 15 bar (${val})`) + if (val < 0) errors.push(`Stage '${sname}': negative dynamics pressure value (${val})`) + } + } + } + } + } + + // Rule 10: Variable naming rules + unused adjustable check + const variables = p.variables ?? [] + if (Array.isArray(variables)) { + // Collect all $key references in stages + const usedKeys = new Set() + for (const stage of p.stages ?? []) { + if (stage && typeof stage === 'object') collectRefs(stage, usedKeys) + } + + for (const v of variables) { + if (!v || typeof v !== 'object') continue + const key = v.key ?? '' + const name = v.name ?? '' + const isInfo = key.startsWith('info_') || v.adjustable === false + + if (isInfo) { + // Info variables must start with emoji + if (name && !startsWithEmoji(name)) { + errors.push( + `Variable '${key}': info variable name must start with an emoji, got '${name}'`, + ) + } + } else { + // Adjustable variables must NOT start with emoji + if (name && startsWithEmoji(name)) { + errors.push( + `Variable '${key}': adjustable variable name must NOT start with an emoji, got '${name}'`, + ) + } + + // Adjustable variables must be used in at least one stage + if (key && !usedKeys.has(key)) { + errors.push( + `Adjustable variable '${key}' ('${name}') is defined but never used in any stage. ` + + `Use $${key} in a dynamics point or remove it.`, + ) + } + } + } + } + + return { + isValid: errors.length === 0, + errors, + } +} diff --git a/packages/core/src/routes/analyzeAndProfile.ts b/packages/core/src/routes/analyzeAndProfile.ts new file mode 100644 index 00000000..97774b7d --- /dev/null +++ b/packages/core/src/routes/analyzeAndProfile.ts @@ -0,0 +1,167 @@ +/** + * analyze_and_profile route: full AI profile generation. + * + * Generates a complete espresso profile from the user's stated preferences + * (and an optional reference image), converts the model's JSON to OEPF, and + * saves the new profile to the machine. Port of the two parity oracles: + * - server: apps/server/api/routes (profile generation service) + * - native: apps/web/src/services/interceptor/DirectModeInterceptor.ts + * (POST /api/analyze_and_profile) + BrowserAIService.generateProfile + * + * The AI orchestration (prompt building, validate/retry) is the shared core + * profilePromptFull module; the model JSON -> OEPF conversion is the shared + * core oepf module. Both stay host-free; the AI call and the machine write go + * through the Platform seam. + * + * Route (also served under the bare /analyze_and_profile alias): + * POST /api/analyze_and_profile + * -> { status: "success"|"error", analysis, reply } + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { buildFullProfilePrompt, validateAndRetryProfile } from "../ai/profilePromptFull"; +import { convertGeminiToOEPF } from "../logic/oepf"; + +const BASE64_ALPHABET = + "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"; + +/** Portable base64 encoder (no btoa/Buffer) so the core stays host-free. */ +function toBase64(bytes: Uint8Array): string { + let out = ""; + for (let i = 0; i < bytes.length; i += 3) { + const b0 = bytes[i]; + const b1 = i + 1 < bytes.length ? bytes[i + 1] : 0; + const b2 = i + 2 < bytes.length ? bytes[i + 2] : 0; + out += BASE64_ALPHABET[b0 >> 2]; + out += BASE64_ALPHABET[((b0 & 0x03) << 4) | (b1 >> 4)]; + out += i + 1 < bytes.length ? BASE64_ALPHABET[((b1 & 0x0f) << 2) | (b2 >> 6)] : "="; + out += i + 2 < bytes.length ? BASE64_ALPHABET[b2 & 0x3f] : "="; + } + return out; +} + +interface UploadedFile { + type?: string; + arrayBuffer(): Promise; +} + +function isUploadedFile(value: unknown): value is UploadedFile { + return ( + typeof value === "object" && + value !== null && + typeof (value as { arrayBuffer?: unknown }).arrayBuffer === "function" + ); +} + +function formString(form: { get(key: string): unknown }, key: string): string { + const value = form.get(key); + return typeof value === "string" ? value : ""; +} + +async function resolveAuthorName(platform: Platform): Promise { + try { + const settings = await platform.storage.settings.read("settings"); + if (settings && typeof settings === "object") { + const record = settings as Record; + const candidate = record.author_name ?? record.authorName; + if (typeof candidate === "string" && candidate.trim()) return candidate.trim(); + } + } catch { + // fall through to the default + } + return "Metic"; +} + +export async function handleAnalyzeAndProfileRoute( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const normalized = pathname.startsWith("/api/") ? pathname.slice(4) : pathname; + if (normalized !== "/analyze_and_profile" || req.method !== "POST") return null; + + try { + if (!platform.ai.isConfigured()) { + return jsonResponse({ + status: "error", + reply: + "AI features are unavailable. Please configure a Gemini API key in Settings.", + analysis: "", + }); + } + + const form = await req.formData(); + const fileValue = form.get("file"); + const image = isUploadedFile(fileValue) ? fileValue : null; + const preferences = [ + formString(form, "user_prefs"), + formString(form, "advanced_customization"), + formString(form, "detailed_knowledge"), + ] + .filter(Boolean) + .join("\n\n"); + + const authorName = await resolveAuthorName(platform); + const systemPrompt = buildFullProfilePrompt(authorName, preferences, [], !!image); + + const parts: Array> = []; + if (image) { + const buffer = new Uint8Array(await image.arrayBuffer()); + parts.push({ + inlineData: { mimeType: image.type || "image/jpeg", data: toBase64(buffer) }, + }); + } + parts.push({ text: systemPrompt }); + + const response = await platform.ai.generateText({ + contents: [{ role: "user", parts }], + }); + + const generateFix = async (fixPrompt: string): Promise => { + const fixResponse = await platform.ai.generateText({ + contents: [{ role: "user", parts: [{ text: fixPrompt }] }], + }); + return fixResponse.text; + }; + + const { reply: validatedReply } = await validateAndRetryProfile( + response.text, + generateFix, + ); + const text = validatedReply; + + const cleanAnalysis = text + .replace(/```json\s*[\s\S]*?```/g, "") + .replace(/\n{3,}/g, "\n\n") + .trim(); + + // Save the generated profile to the machine (best-effort, matching native). + const jsonMatch = text.match(/```json\s*([\s\S]*?)```/); + if (jsonMatch) { + try { + const raw = JSON.parse(jsonMatch[1]) as Record; + const oepf = convertGeminiToOEPF(raw); + const saveResponse = await platform.machine.fetch("/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(oepf), + }); + if (saveResponse.ok && oepf.id && cleanAnalysis) { + await platform.storage.descriptions.write(String(oepf.id), cleanAnalysis); + } + } catch (err) { + platform.logger.debug("analyze_and_profile: failed to save profile", err); + } + } + + return jsonResponse({ + status: "success", + analysis: image ? cleanAnalysis : "", + reply: text, + }); + } catch (err) { + const reply = err instanceof Error ? err.message : "Failed to generate profile"; + return jsonResponse({ status: "error", reply, analysis: "" }); + } +} diff --git a/packages/core/test/contract/analyzeAndProfile.test.ts b/packages/core/test/contract/analyzeAndProfile.test.ts new file mode 100644 index 00000000..69ffa060 --- /dev/null +++ b/packages/core/test/contract/analyzeAndProfile.test.ts @@ -0,0 +1,166 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import type { MockMachine } from "../mockPlatform"; +import type { PlatformAI } from "../../src/platform"; +import { handle } from "../../src/handler"; + +const VALID_PROFILE = { + name: "Test Gen Profile", + temperature: 93, + final_weight: 36, + variables: [], + stages: [ + { + name: "Infusion", + type: "pressure", + exit_triggers: [{ type: "time", value: 30 }], + limits: [{ type: "flow", value: 8 }], + }, + ], +}; + +const VALID_REPLY = `Here is your profile.\n\n\`\`\`json\n${JSON.stringify( + VALID_PROFILE, + null, + 2, +)}\n\`\`\`\n\nEnjoy!`; + +/** Machine that accepts /profile/save and records the saved body. */ +function savingMachine(): { machine: MockMachine; saved: () => Record | null } { + let savedBody: Record | null = null; + const machine: MockMachine = { + getBaseUrl: () => "http://machine.test:8080", + fetch: async (path: string, init?: RequestInit) => { + const pathname = path.startsWith("http") ? new URL(path).pathname : path.split("?")[0]; + if (pathname === "/api/v1/profile/save") { + savedBody = JSON.parse(String(init?.body ?? "{}")); + return new Response(JSON.stringify({ status: "ok" }), { status: 200 }); + } + return new Response(JSON.stringify({ detail: "not found" }), { status: 404 }); + }, + }; + return { machine, saved: () => savedBody }; +} + +/** AI double that records the contents it was called with. */ +function capturingAI(text: string): { ai: PlatformAI; calls: () => unknown[] } { + const calls: unknown[] = []; + return { + ai: { + isConfigured: () => true, + generateText: async (req) => { + calls.push(req.contents); + return { text }; + }, + }, + calls: () => calls, + }; +} + +function multipart(fields: Record, file?: { name: string; bytes: Uint8Array; type: string }): Request { + const form = new FormData(); + for (const [k, v] of Object.entries(fields)) form.set(k, v); + if (file) { + form.set("file", new Blob([file.bytes as unknown as BlobPart], { type: file.type }), file.name); + } + return new Request("http://core.test/api/analyze_and_profile", { method: "POST", body: form }); +} + +describe("POST /api/analyze_and_profile", () => { + test("returns an error when AI is not configured", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); // default unconfigured AI + const res = await handle(multipart({ user_prefs: "fruity" }), p); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.analysis).toBe(""); + expect(body.reply).toContain("AI features are unavailable"); + }); + + test("generates a profile, saves OEPF to the machine, and caches the description", async () => { + const { machine, saved } = savingMachine(); + const { ai } = capturingAI(VALID_REPLY); + const p = makeMockPlatform({ machine, ai }); + const res = await handle(multipart({ user_prefs: "bright and fruity" }), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.reply).toBe(VALID_REPLY); + // No image was provided -> analysis is suppressed. + expect(body.analysis).toBe(""); + // A valid OEPF profile was saved to the machine. + const savedBody = saved(); + expect(savedBody).not.toBeNull(); + expect(savedBody!.name).toBe("Test Gen Profile"); + expect(Array.isArray(savedBody!.stages)).toBe(true); + expect(typeof savedBody!.id).toBe("string"); + // The cleaned analysis is cached under the generated profile id. + const cached = await p.storage.descriptions.read(String(savedBody!.id)); + expect(typeof cached).toBe("string"); + expect(cached).not.toContain("```json"); + }); + + test("includes the cleaned analysis and forwards image bytes when a file is provided", async () => { + const { machine } = savingMachine(); + const { ai, calls } = capturingAI(VALID_REPLY); + const p = makeMockPlatform({ machine, ai }); + const bytes = new Uint8Array([0xff, 0xd8, 0xff, 0x00, 0x11]); + const res = await handle( + multipart({ user_prefs: "espresso" }, { name: "bean.jpg", bytes, type: "image/jpeg" }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + // With an image, the human-readable analysis is returned (json stripped). + expect(body.analysis.length).toBeGreaterThan(0); + expect(body.analysis).not.toContain("```json"); + // The image was forwarded to the model as inlineData in the first call. + const firstContents = calls()[0] as Array<{ parts: Array> }>; + const parts = firstContents[0].parts; + expect(parts.some((part) => "inlineData" in part)).toBe(true); + }); + + test("retries once when the first output is invalid, then uses the corrected profile", async () => { + const invalidReply = "```json\n{\"name\":\"Broken\"}\n```"; // no stages -> invalid + let call = 0; + const ai: PlatformAI = { + isConfigured: () => true, + generateText: async () => { + call += 1; + // First call: the invalid profile. Subsequent (fix) calls: the valid one. + return { text: call === 1 ? invalidReply : VALID_REPLY }; + }, + }; + const { machine, saved } = savingMachine(); + const p = makeMockPlatform({ machine, ai }); + const res = await handle(multipart({ user_prefs: "x" }), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(call).toBeGreaterThan(1); // a fix pass ran + expect(saved()!.name).toBe("Test Gen Profile"); + }); + + test("returns an error reply when the AI call throws", async () => { + const ai: PlatformAI = { + isConfigured: () => true, + generateText: async () => { + throw new Error("Gemini exploded"); + }, + }; + const p = makeMockPlatform({ machine: scriptedMachine({}), ai }); + const res = await handle(multipart({ user_prefs: "x" }), p); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.reply).toBe("Gemini exploded"); + expect(body.analysis).toBe(""); + }); + + test("is served under the bare /analyze_and_profile alias", async () => { + const { machine } = savingMachine(); + const { ai } = capturingAI(VALID_REPLY); + const p = makeMockPlatform({ machine, ai }); + const form = new FormData(); + form.set("user_prefs", "x"); + const req = new Request("http://core.test/analyze_and_profile", { method: "POST", body: form }); + const res = await handle(req, p); + expect((await res.json()).status).toBe("success"); + }); +}); diff --git a/packages/core/test/contract/oepf.test.ts b/packages/core/test/contract/oepf.test.ts new file mode 100644 index 00000000..8977f140 --- /dev/null +++ b/packages/core/test/contract/oepf.test.ts @@ -0,0 +1,172 @@ +import { describe, expect, it } from 'vitest' +import { convertGeminiToOEPF } from '../../src/logic/oepf' + +function variableByKey(profile: Record, key: string): Record | undefined { + return (profile.variables as Array>).find((variable) => variable.key === key) +} + +function firstStage(profile: Record): Record { + return (profile.stages as Array>)[0] +} + +describe('convertGeminiToOEPF', () => { + it('keeps adjustable variables with valid OEPF types', () => { + const pressureVariable = { key: 'bloom_pressure', name: 'Bloom Pressure', type: 'pressure', value: 3 } + + const profile = convertGeminiToOEPF({ variables: [pressureVariable] }) + + expect(profile.variables).toEqual([pressureVariable]) + }) + + it('converts info variables to info keys with mapped emoji names', () => { + const profile = convertGeminiToOEPF({ + variables: [ + { key: 'dose', name: 'Dose', type: 'info', value: 18 }, + { key: 'barista_tip', name: 'Barista Tip', type: 'information', value: 1 }, + ], + }) + + expect(variableByKey(profile, 'info_dose')).toMatchObject({ + key: 'info_dose', + name: '☕ Dose', + type: 'power', + value: 18, + }) + expect(variableByKey(profile, 'info_barista_tip')).toMatchObject({ + key: 'info_barista_tip', + name: 'ℹ️ Barista Tip', + type: 'power', + value: 1, + }) + }) + + it('drops variables with unknown non-info types', () => { + const profile = convertGeminiToOEPF({ + variables: [ + { key: 'mystery', name: 'Mystery', type: 'temperature', value: 92 }, + { key: 'flow_target', name: 'Flow Target', type: 'flow', value: 2.5 }, + ], + }) + + expect(profile.variables).toEqual([ + { key: 'flow_target', name: 'Flow Target', type: 'flow', value: 2.5 }, + ]) + }) + + it('resolves stage variable references to numbers and unknown references to 0', () => { + const profile = convertGeminiToOEPF({ + variables: [{ key: 'target_weight', name: 'Target Weight', type: 'weight', value: 36 }], + stages: [ + { + name: 'Extract', + type: 'flowRate', + dynamics: [ + { time: '$missing_time', value: '$target_weight' }, + ], + exit_triggers: [{ type: 'weight', value: '$target_weight' }], + limits: [{ type: 'flow', value: '$missing_limit' }], + }, + ], + }) + + const stage = firstStage(profile) + expect((stage.dynamics as Record).points).toEqual([[0, 36]]) + expect(stage.exit_triggers).toEqual([ + { type: 'weight', value: 36, relative: true, comparison: '>=' }, + ]) + expect(stage.limits).toEqual([{ type: 'flow', value: 0 }]) + }) + + it('returns the expected top-level OEPF shape with defaults', () => { + const profile = convertGeminiToOEPF({}) + + expect(profile.name).toBe('AI Generated Profile') + expect(profile.author).toBe('MeticAI') + expect(profile.temperature).toBe(93) + expect(profile.final_weight).toBe(36) + expect(profile.previous_authors).toEqual([]) + expect(profile.display).toEqual({ accentColor: '#6366f1' }) + expect(profile.variables).toEqual([]) + expect(profile.stages).toEqual([]) + expect(typeof profile.id).toBe('string') + expect(typeof profile.author_id).toBe('string') + expect(typeof profile.last_changed).toBe('number') + }) + + it('carries stage triggers, limits, and dynamics through with native mappings', () => { + const profile = convertGeminiToOEPF({ + variables: [{ key: 'end_weight', name: 'End Weight', type: 'weight', value: 40 }], + stages: [ + { + name: 'Ramp Up', + type: 'flow_rate', + dynamics: { + points: [ + { time: 0, value: 2 }, + { time: '$end_weight', value: '$end_weight' }, + ], + }, + exit_triggers: [ + { type: 'dose grams', value: '$end_weight', relative: false, comparator: '>' }, + { type: 'duration', value: 20, comparison: '<=' }, + ], + limits: [ + { type: 'flowLimit', value: 6 }, + { type: 'temperature', value: '$end_weight', comparator: '<' }, + ], + }, + ], + }) + + const stage = firstStage(profile) + expect(stage).toMatchObject({ + name: 'Ramp Up', + key: 'ramp_up', + type: 'flow', + }) + expect(stage.dynamics).toEqual({ + points: [[0, 2], [40, 40]], + over: 'time', + interpolation: 'linear', + }) + expect(stage.exit_triggers).toEqual([ + { type: 'weight', value: 40, relative: false, comparison: '>' }, + { type: 'time', value: 20, relative: true, comparison: '<=' }, + ]) + expect(stage.limits).toEqual([ + { type: 'flow', value: 6 }, + { type: 'pressure', value: 40 }, + ]) + }) + + it('resolves object-form dynamics whose points are already [t, v] arrays', () => { + const profile = convertGeminiToOEPF({ + variables: [ + { key: 'peak_pressure', name: 'Peak Pressure', type: 'pressure', value: 8 }, + { key: 'taper_pressure', name: 'Taper Pressure', type: 'pressure', value: 4 }, + { key: 'extraction_ratio', name: 'Extraction Ratio', type: 'number', value: 2.5 }, + ], + stages: [ + { + name: 'Flavor Fade-Out', + type: 'pressure', + dynamics: { + points: [ + [0, '$peak_pressure'], + ['10000 * ($extraction_ratio / 2.5)', '$taper_pressure'], + ], + over: 'time', + interpolation: 'curve', + }, + }, + ], + }) + + const stage = firstStage(profile) + expect(stage.dynamics).toEqual({ + points: [[0, 8], [0, 4]], + over: 'time', + interpolation: 'curve', + }) + }) +}) diff --git a/packages/core/test/contract/profilePromptFull.test.ts b/packages/core/test/contract/profilePromptFull.test.ts new file mode 100644 index 00000000..4606dccc --- /dev/null +++ b/packages/core/test/contract/profilePromptFull.test.ts @@ -0,0 +1,94 @@ +import { describe, test, expect } from "vitest"; +import { buildFullProfilePrompt, validateAndRetryProfile } from "../../src/ai/profilePromptFull"; + +const validProfile = { + name: "Valid Bloom", + author: "Ada", + temperature: 93, + variables: [{ name: "☕ Dose", key: "info_dose", type: "weight", value: 18 }], + stages: [ + { + name: "Preinfusion", + type: "flow", + dynamics: { points: [[0, 2], [8, 2]], over: "time", interpolation: "linear" }, + limits: [{ type: "pressure", value: 4 }], + exit_triggers: [ + { type: "weight", value: 5, comparison: ">=", relative: false }, + { type: "time", value: 10, comparison: ">=", relative: true }, + ], + }, + ], +}; + +const invalidProfile = { + name: "Invalid", + temperature: 93, + variables: [], + stages: [ + { + name: "Paradox", + type: "flow", + dynamics: { points: [[0, 2], [8, 2]], over: "time", interpolation: "linear" }, + limits: [], + exit_triggers: [{ type: "flow", value: 3, comparison: ">=" }], + }, + ], +}; + +function fencedJson(value: unknown): string { + return `PROFILE JSON:\n\`\`\`json\n${JSON.stringify(value, null, 2)}\n\`\`\``; +} + +describe("buildFullProfilePrompt", () => { + test("includes author, preferences, image context, and key sections", () => { + const prompt = buildFullProfilePrompt("Ada", "20g dose", ["light roast", "94°C"], true); + expect(prompt).toContain("Set the 'author' field in the profile JSON to: \"Ada\""); + expect(prompt).toContain("'20g dose, light roast, 94°C'"); + expect(prompt).toContain("Analyze the coffee bag image."); + expect(prompt).toContain("VALIDATION RULES (your profile WILL be rejected if these are violated):"); + expect(prompt).toContain("OUTPUT FORMAT (use this exact format):"); + }); + + test("reflects no-image mode", () => { + const prompt = buildFullProfilePrompt("Ada", "18g dose", [], false); + expect(prompt).not.toContain("Analyze the coffee bag image."); + expect(prompt).toContain("TASK: Create a sophisticated espresso profile while strictly adhering to the user's requirements above."); + }); +}); + +describe("validateAndRetryProfile", () => { + test("returns the original reply when extracted JSON is valid", async () => { + let calls = 0; + const reply = fencedJson(validProfile); + const result = await validateAndRetryProfile(reply, async () => { + calls += 1; + return fencedJson(validProfile); + }); + expect(result.reply).toBe(reply); + expect(result.profileJson).toEqual(validProfile); + expect(calls).toBe(0); + }); + + test("calls generateFix with validation errors and returns corrected reply", async () => { + const prompts: string[] = []; + const result = await validateAndRetryProfile(fencedJson(invalidProfile), async (prompt) => { + prompts.push(prompt); + return fencedJson(validProfile); + }); + expect(prompts).toHaveLength(1); + expect(prompts[0]).toContain("The profile JSON you generated has validation errors."); + expect(prompts[0]).toContain("Stage 'Paradox': flow stage cannot have a flow exit trigger (paradox)"); + expect(result.profileJson).toEqual(validProfile); + expect(result.reply).toContain(JSON.stringify(validProfile, null, 2)); + }); + + test("caps validation retries", async () => { + let calls = 0; + const result = await validateAndRetryProfile(fencedJson(invalidProfile), async () => { + calls += 1; + return fencedJson(invalidProfile); + }); + expect(calls).toBe(2); + expect(result.profileJson).toEqual(invalidProfile); + }); +}); diff --git a/packages/core/test/contract/profileValidator.test.ts b/packages/core/test/contract/profileValidator.test.ts new file mode 100644 index 00000000..c6b1859d --- /dev/null +++ b/packages/core/test/contract/profileValidator.test.ts @@ -0,0 +1,112 @@ +import { describe, test, expect } from "vitest"; +import { validateProfile } from "../../src/logic/profileValidator"; + +const validProfile = { + name: "Valid Bloom", + author: "Metic", + temperature: 93, + variables: [ + { name: "☕ Dose", key: "info_dose", type: "weight", value: 18 }, + { name: "Peak Pressure", key: "peak_pressure", type: "pressure", value: 8 }, + ], + stages: [ + { + name: "Preinfusion", + type: "flow", + dynamics: { points: [[0, 2], [8, 2]], over: "time", interpolation: "linear" }, + limits: [{ type: "pressure", value: 4 }], + exit_triggers: [ + { type: "weight", value: 5, comparison: ">=", relative: false }, + { type: "time", value: 10, comparison: ">=", relative: true }, + ], + }, + { + name: "Extract", + type: "pressure", + dynamics: { points: [[0, "$peak_pressure"], [20, 6]], over: "time", interpolation: "curve" }, + limits: [{ type: "flow", value: 5 }], + exit_triggers: [ + { type: "weight", value: 36, comparison: ">=", relative: false }, + { type: "time", value: 35, comparison: ">=", relative: true }, + ], + }, + ], +}; + +describe("validateProfile", () => { + test("accepts a structurally valid profile", () => { + const result = validateProfile(validProfile); + expect(result.isValid).toBe(true); + expect(result.errors).toEqual([]); + }); + + test("rejects missing top-level requirements", () => { + const result = validateProfile({ stages: [] }); + expect(result.isValid).toBe(false); + expect(result.errors).toContain("Missing required field: 'name'"); + expect(result.errors).toContain("Profile must have at least one stage"); + }); + + test("rejects invalid stage definitions and missing failsafes", () => { + const result = validateProfile({ + name: "Broken", + stages: [ + { name: "Bad Type", type: "temperature", exit_triggers: [] }, + { name: "Paradox", type: "flow", limits: [{ type: "flow", value: 2 }], exit_triggers: [{ type: "flow", value: 3, comparison: "==" }] }, + ], + }); + expect(result.errors).toContain("Stage 'Bad Type': type must be 'power', 'flow', or 'pressure', got 'temperature'"); + expect(result.errors).toContain("Stage 'Bad Type': missing exit_triggers"); + expect(result.errors).toContain("Stage 'Paradox': flow stage cannot have a flow exit trigger (paradox)"); + expect(result.errors).toContain("Stage 'Paradox': single non-time exit trigger needs a time backup"); + expect(result.errors).toContain("Stage 'Paradox': exit trigger comparison must be '>=' or '<=', got '=='"); + expect(result.errors).toContain("Stage 'Paradox': flow stage must have a pressure limit"); + expect(result.errors).toContain("Stage 'Paradox': flow stage cannot have a flow limit (same-type)"); + }); + + test("rejects invalid dynamics, pressure bounds, and weight ordering", () => { + const result = validateProfile({ + name: "Broken Dynamics", + stages: [ + { + name: "First", + type: "pressure", + dynamics: { points: [[0, 16]], over: "volume", interpolation: "none" }, + limits: [{ type: "pressure", value: -1 }], + exit_triggers: [{ type: "weight", value: 20, comparison: ">=", relative: false }, { type: "time", value: 10, comparison: ">=", relative: true }], + }, + { + name: "Second", + type: "pressure", + dynamics: { points: [[0, 8]], over: "time", interpolation: "curve" }, + limits: [{ type: "flow", value: 4 }], + exit_triggers: [{ type: "weight", value: 18, comparison: ">=", relative: false }, { type: "pressure", value: 16, comparison: ">=" }], + }, + ], + }); + expect(result.errors).toContain("Stage 'First': pressure stage must have a flow limit"); + expect(result.errors).toContain("Stage 'First': pressure stage cannot have a pressure limit (same-type)"); + expect(result.errors).toContain("Stage 'First': negative pressure limit value (-1)"); + expect(result.errors).toContain("Stage 'First': dynamics.over must be 'time', 'weight', or 'piston_position', got 'volume'"); + expect(result.errors).toContain("Stage 'First': interpolation must be 'linear' or 'curve', got 'none'"); + expect(result.errors).toContain("Stage 'First': dynamics pressure exceeds 15 bar (16)"); + expect(result.errors).toContain("Stage 'Second': pressure stage cannot have a pressure exit trigger (paradox)"); + expect(result.errors).toContain("Stage 'Second': pressure trigger exceeds 15 bar (16)"); + expect(result.errors).toContain("Stage 'Second': absolute weight trigger (18g) must be > previous stage's (20g)"); + expect(result.errors).toContain("Stage 'Second': 'curve' interpolation requires at least 2 dynamics points"); + }); + + test("rejects invalid variable naming and unused adjustable variables", () => { + const result = validateProfile({ + ...validProfile, + variables: [ + { name: "Dose", key: "info_dose", type: "weight", value: 18 }, + { name: "🎯 Peak Pressure", key: "peak_pressure", type: "pressure", value: 8 }, + { name: "Unused Flow", key: "unused_flow", type: "flow", value: 2 }, + ], + }); + expect(result.errors).toContain("Variable 'info_dose': info variable name must start with an emoji, got 'Dose'"); + expect(result.errors).toContain("Variable 'peak_pressure': adjustable variable name must NOT start with an emoji, got '🎯 Peak Pressure'"); + expect(result.errors).toContain("Adjustable variable 'unused_flow' ('Unused Flow') is defined but never used in any stage. Use $unused_flow in a dynamics point or remove it."); + }); +}); From 02e19f0939e2bef992b85e3cf7779db2e948acd5 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 21:16:46 +0200 Subject: [PATCH 21/62] feat(web): add browser Platform impl for the unified core (Phase 3 keystone) Adds apps/web/src/services/platform/browserPlatform.ts: the direct-mode counterpart to the Bun server's Node platform. It implements the @metic/core Platform interface with browser primitives so the SAME handle(request, platform) can run entirely client-side, the foundation for replacing the bespoke per-route logic in DirectModeInterceptor. - Storage: IndexedDB-backed repos that persist documents VERBATIM under the settings key-value store, faithfully mirroring the Node fsKeyedMapRepo / fsSingletonRepo semantics (so the shared contract tests hold on both hosts). Blob store maps to the profile-image IDB store (Blob <-> Uint8Array). - Machine: fetch joins core's path onto getDefaultMachineUrl(); takes an injectable original fetch to avoid re-entrancy with the fetch interceptor. - AI: delegates to the frontend's active provider (identical generateText signature); image output converted Blob -> bytes. No scheduler (direct mode cannot run deferred actuation, so schedule routes 501, matching the legacy interceptor). Includes an integration test that runs @metic/core handle() against the real IndexedDB-backed platform (fake-indexeddb + fake machine fetch + scripted provider) across annotations, dial-in, pour-over, machine-fetch, and AI seams. 7 tests. Not yet wired into window.fetch: the live cutover and DirectModeInterceptor deletion are gated on on-device parity verification. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../services/platform/browserPlatform.test.ts | 237 ++++++++++++++++ .../src/services/platform/browserPlatform.ts | 255 ++++++++++++++++++ 2 files changed, 492 insertions(+) create mode 100644 apps/web/src/services/platform/browserPlatform.test.ts create mode 100644 apps/web/src/services/platform/browserPlatform.ts diff --git a/apps/web/src/services/platform/browserPlatform.test.ts b/apps/web/src/services/platform/browserPlatform.test.ts new file mode 100644 index 00000000..bfbbcf5a --- /dev/null +++ b/apps/web/src/services/platform/browserPlatform.test.ts @@ -0,0 +1,237 @@ +import { beforeEach, describe, expect, it, vi } from "vitest"; +import "fake-indexeddb/auto"; +import { handle } from "@metic/core"; +import { getDB, getSetting } from "@/services/storage/AppDatabase"; +import type { AIProvider } from "@/services/ai/providers/AIProvider"; +import { createBrowserPlatform } from "./browserPlatform"; + +/** + * Integration tests for the browser Platform: they run the SHARED + * `@metic/core` `handle()` against the real IndexedDB-backed platform (over + * fake-indexeddb) with a fake machine fetch and a scripted AI provider. This + * proves the platform correctly bridges core to browser storage / machine / AI, + * complementing the core contract tests (which assert the route logic itself). + */ + +async function clearAllStores() { + const db = await getDB(); + for (const name of [ + "settings", + "shot-annotations", + "ai-cache", + "pour-over-state", + "dial-in-sessions", + "profile-images", + ] as const) { + const tx = db.transaction(name, "readwrite"); + await tx.store.clear(); + await tx.done; + } +} + +const MACHINE_BASE = "http://machine.test:8080"; + +const PROFILES = [ + { + name: "Fruity Turbo", + temperature: 94, + final_weight: 40, + stages: [ + { name: "Preinfusion", type: "flow", dynamics: { points: [[0, 4]], over: "time" } }, + { name: "Infusion", type: "pressure", dynamics: { points: [[0, 6], [10, 6]], over: "time" } }, + ], + }, + { + name: "Classic Lever", + temperature: 92, + final_weight: 36, + stages: [ + { name: "Preinfusion", type: "flow", dynamics: { points: [[0, 3]], over: "time" } }, + { name: "Ramp", type: "pressure", dynamics: { points: [[0, 9], [20, 5]], over: "time" } }, + ], + }, +]; + +/** A fake machine returning the profile catalogue; records the URLs it received. */ +function fakeMachine() { + const urls: string[] = []; + const fetchImpl = (async (input: RequestInfo | URL) => { + const url = typeof input === "string" ? input : input.toString(); + urls.push(url); + const path = new URL(url).pathname; + if (path === "/api/v1/profile/list") { + return new Response(JSON.stringify(PROFILES), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + return new Response("not found", { status: 404 }); + }) as unknown as typeof fetch; + return { fetchImpl, urls }; +} + +function makePlatform(overrides: Parameters[0] = {}) { + return createBrowserPlatform({ + machineBaseUrl: () => MACHINE_BASE, + clock: () => 1_700_000_000_000, + aiConfigured: () => false, + ...overrides, + }); +} + +beforeEach(async () => { + localStorage.clear(); + await clearAllStores(); +}); + +describe("browser Platform: annotations (map repo)", () => { + const ANNOT = "/api/shots/2024-01-15/shot_001.json/annotation"; + + it("PATCH persists to IndexedDB and GET round-trips through core", async () => { + const p = makePlatform(); + const patched = await handle( + new Request(`http://x${ANNOT}`, { + method: "PATCH", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ annotation: "great shot", rating: 4 }), + }), + p, + ); + expect(patched.status).toBe(200); + expect(await patched.json()).toEqual({ + status: "success", + annotation: "great shot", + rating: 4, + updated_at: new Date(1_700_000_000_000).toISOString(), + }); + + // The document is stored verbatim under the core-namespaced settings key. + const stored = await getSetting>("core:annotations"); + expect(stored).toBeTruthy(); + expect(Object.keys(stored!)).toEqual(["2024-01-15/shot_001.json"]); + + const fetched = await handle(new Request(`http://x${ANNOT}`), p); + expect(await fetched.json()).toMatchObject({ annotation: "great shot", rating: 4 }); + }); + + it("DELETE removes the annotation", async () => { + const p = makePlatform(); + await handle( + new Request(`http://x${ANNOT}`, { + method: "PATCH", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ annotation: "temp", rating: 2 }), + }), + p, + ); + const del = await handle(new Request(`http://x${ANNOT}`, { method: "DELETE" }), p); + expect(await del.json()).toEqual({ status: "success", deleted: true }); + const after = await handle(new Request(`http://x${ANNOT}`), p); + expect(await after.json()).toMatchObject({ annotation: null, rating: null }); + }); +}); + +describe("browser Platform: dial-in sessions (map repo)", () => { + const SESSIONS = "/api/dialin/sessions"; + const COFFEE = { roast_level: "medium", origin: "Ethiopia", process: "washed" }; + + it("creates a session, persists it, and reads it back through core", async () => { + const p = makePlatform(); + const created = await handle( + new Request(`http://x${SESSIONS}`, { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ coffee: COFFEE, profile_name: "Blossom" }), + }), + p, + ); + expect(created.status).toBe(201); + const session = (await created.json()) as Record; + expect(typeof session.id).toBe("string"); + expect(session.coffee).toEqual(COFFEE); + + const stored = await getSetting>("core:dialin_sessions"); + expect(Object.keys(stored!)).toEqual([session.id]); + + const got = await handle(new Request(`http://x${SESSIONS}/${session.id}`), p); + expect(got.status).toBe(200); + expect((await got.json()).id).toBe(session.id); + }); +}); + +describe("browser Platform: pour-over preferences (singleton repo)", () => { + const PATH = "/api/pour-over/preferences"; + + it("PUT persists a single document and GET round-trips it", async () => { + const p = makePlatform(); + const putRes = await handle(new Request(`http://x${PATH}`), p); + const defaults = await putRes.json(); + defaults.free.autoStart = false; + defaults.free.doseGrams = 20; + + const saved = await handle( + new Request(`http://x${PATH}`, { + method: "PUT", + headers: { "content-type": "application/json" }, + body: JSON.stringify(defaults), + }), + p, + ); + expect(saved.status).toBe(200); + const savedBody = await saved.json(); + expect(savedBody.free.autoStart).toBe(false); + expect(savedBody.free.doseGrams).toBe(20); + + const fetched = await handle(new Request(`http://x${PATH}`), p); + expect(await fetched.json()).toEqual(savedBody); + }); +}); + +describe("browser Platform: machine fetch bridging", () => { + it("joins core's machine path onto the resolved base URL", async () => { + const machine = fakeMachine(); + const p = makePlatform({ fetchImpl: machine.fetchImpl }); + const form = new FormData(); + form.append("tags", "fruity"); + const res = await handle( + new Request("http://core.test/api/profiles/recommend", { method: "POST", body: form }), + p, + ); + expect(res.status).toBe(200); + const body = await res.json(); + expect(Array.isArray(body.recommendations)).toBe(true); + // Core asked for the catalogue; the platform reached the machine at its base URL. + expect(machine.urls.some((u) => u.startsWith(`${MACHINE_BASE}/api/v1/profile/list`))).toBe(true); + }); + + it("rejects when no machine base URL is configured", async () => { + const machine = fakeMachine(); + const p = makePlatform({ fetchImpl: machine.fetchImpl, machineBaseUrl: () => "" }); + await expect(p.machine.fetch("/api/v1/profile/list")).rejects.toThrow( + /not configured/, + ); + }); +}); + +describe("browser Platform: AI seam bridging", () => { + it("delegates generateText to the active provider", async () => { + const generateText = vi.fn().mockResolvedValue({ text: "hello from provider" }); + const provider = { + id: "gemini", + label: "Gemini", + capabilities: { imageGen: false }, + isConfigured: () => true, + detectFromKey: () => true, + generateText, + listModels: async () => [], + }; + const p = makePlatform({ + aiConfigured: () => true, + aiProvider: () => provider as unknown as AIProvider, + }); + expect(p.ai.isConfigured()).toBe(true); + const out = await p.ai.generateText({ contents: "hi" }); + expect(out.text).toBe("hello from provider"); + expect(generateText).toHaveBeenCalledWith({ contents: "hi" }); + }); +}); diff --git a/apps/web/src/services/platform/browserPlatform.ts b/apps/web/src/services/platform/browserPlatform.ts new file mode 100644 index 00000000..2d4873d1 --- /dev/null +++ b/apps/web/src/services/platform/browserPlatform.ts @@ -0,0 +1,255 @@ +/** + * Browser/Capacitor implementation of the core `Platform` interface. + * + * This is the direct-mode counterpart to the Bun server's Node platform + * (`apps/bun-server/src/platform/node.ts`): it lets the SAME `@metic/core` + * `handle(request, platform)` run entirely client-side, replacing the bespoke + * per-route logic in `DirectModeInterceptor`. + * + * Storage is IndexedDB-backed. To match the Node platform's verbatim JSON + * semantics EXACTLY (its repos read/write documents unchanged), the keyed-map + * and singleton repos here persist plain document objects under the generic + * settings key-value store rather than routing through the shape-coercing typed + * helpers in `AppDatabase`/`directModeStorage`. This keeps the browser platform + * a faithful mirror of `fsKeyedMapRepo`/`fsSingletonRepo`, so the shared + * contract tests hold on both hosts. + */ + +import { getProviderForMethod, isAIConfigured } from "@/services/ai/providers"; +import type { AIProvider } from "@/services/ai/providers/AIProvider"; +import { getDefaultMachineUrl } from "@/lib/machineMode"; +import { + deleteProfileImage, + deleteSetting, + getProfileImage, + getSetting, + setProfileImage, + setSetting, +} from "@/services/storage/AppDatabase"; +import type { + AIConfig, + BlobStore, + Cache, + Logger, + Platform, + PlatformAI, + Repo, +} from "@metic/core/platform"; + +/** Namespace prefix for core-owned documents in the IndexedDB settings store. */ +const CORE_KEY_PREFIX = "core:"; + +/** + * A single-document repository backed by one settings key. Mirrors the Node + * `fsSingletonRepo`: `read`/`list` ignore the id and return the whole document. + */ +function idbSingletonRepo(key: string): Repo { + const storeKey = `${CORE_KEY_PREFIX}${key}`; + const load = async (): Promise => { + const v = await getSetting(storeKey); + return v === undefined ? null : v; + }; + return { + read: load, + async list() { + const v = await load(); + return v == null ? [] : [v]; + }, + async write(_id, value) { + await setSetting(storeKey, value); + }, + async delete() { + await deleteSetting(storeKey); + }, + }; +} + +/** + * A repository backed by a single settings key holding an `id -> document` map. + * Mirrors the Node `fsKeyedMapRepo`: ids may contain any character (including + * `/`), which suits keys like `${date}/${filename}`. + */ +function idbMapRepo(key: string): Repo { + const storeKey = `${CORE_KEY_PREFIX}${key}`; + const loadMap = async (): Promise> => { + const parsed = await getSetting>(storeKey); + return parsed && typeof parsed === "object" ? parsed : {}; + }; + const saveMap = async (map: Record): Promise => { + await setSetting(storeKey, map); + }; + return { + async read(id) { + const map = await loadMap(); + return Object.prototype.hasOwnProperty.call(map, id) ? map[id]! : null; + }, + async list() { + return Object.values(await loadMap()); + }, + async write(id, value) { + const map = await loadMap(); + map[id] = value; + await saveMap(map); + }, + async delete(id) { + const map = await loadMap(); + if (Object.prototype.hasOwnProperty.call(map, id)) { + delete map[id]; + await saveMap(map); + } + }, + }; +} + +interface CacheEntry { + value: unknown; + expiresAt: number | null; +} + +/** + * In-memory TTL cache, matching the Node platform's `memoryCache`. AI responses + * are transient, so a per-session cache is sufficient in direct mode. + */ +function memoryCache(clock: () => number): Cache { + const store = new Map(); + return { + async get(key: string) { + const entry = store.get(key); + if (!entry) return null; + if (entry.expiresAt != null && entry.expiresAt <= clock()) { + store.delete(key); + return null; + } + return entry.value as T; + }, + async set(key: string, value: T, ttlMs?: number) { + store.set(key, { + value, + expiresAt: ttlMs != null ? clock() + ttlMs : null, + }); + }, + }; +} + +/** + * Blob storage over the dedicated IndexedDB profile-image store. Core works in + * `Uint8Array`; `AppDatabase` works in `Blob`, so we convert at the seam. + */ +function idbBlobStore(): BlobStore { + return { + async read(key) { + const blob = await getProfileImage(key); + if (!blob) return null; + return new Uint8Array(await blob.arrayBuffer()); + }, + async write(key, bytes) { + await setProfileImage(key, new Blob([bytes as unknown as BlobPart])); + }, + async delete(key) { + await deleteProfileImage(key); + }, + }; +} + +function consoleLogger(): Logger { + const tag = (level: string, message: string) => `[direct-mode:${level}] ${message}`; + return { + info: (m, e) => console.info(tag("info", m), e ?? ""), + error: (m, e) => console.error(tag("error", m), e ?? ""), + debug: (m, e) => console.debug(tag("debug", m), e ?? ""), + }; +} + +/** + * PlatformAI delegating to the frontend's active AI provider. The provider's + * `generateText({ contents, config })` signature is identical to `PlatformAI`, + * so this is a straight passthrough; image output is converted Blob -> bytes. + */ +function providerAI(getProvider: () => AIProvider, configured: () => boolean): PlatformAI { + return { + isConfigured() { + return configured(); + }, + async generateText(req) { + return getProvider().generateText(req); + }, + async generateImage(prompt: string) { + const provider = getProvider(); + if (!provider.generateImage) { + throw new Error("Active AI provider does not support image generation"); + } + const blob = await provider.generateImage(prompt); + return new Uint8Array(await blob.arrayBuffer()); + }, + }; +} + +export interface BrowserPlatformDeps { + /** + * Fetch implementation used to reach the machine. MUST be the original + * (unpatched) `window.fetch`; the direct-mode interceptor patches `fetch`, so + * capture the original before installing it to avoid re-entrancy. + */ + fetchImpl?: typeof fetch; + /** Machine base URL resolver. Defaults to `getDefaultMachineUrl`. */ + machineBaseUrl?: () => string; + clock?: () => number; + /** Active AI provider resolver. Defaults to the configured provider. */ + aiProvider?: () => AIProvider; + /** Whether AI is configured. Defaults to `isAIConfigured`. */ + aiConfigured?: () => boolean; +} + +/** + * Build a browser `Platform`. No `scheduler` is provided: direct mode cannot + * run deferred machine actuation, so schedule routes return 501 (matching the + * legacy interceptor's "scheduling not supported" behavior). + */ +export function createBrowserPlatform(deps: BrowserPlatformDeps = {}): Platform { + const clock = deps.clock ?? (() => Date.now()); + const machineBaseUrl = deps.machineBaseUrl ?? getDefaultMachineUrl; + const fetchImpl = + deps.fetchImpl ?? + (typeof window !== "undefined" ? window.fetch.bind(window) : fetch); + const getProvider = deps.aiProvider ?? (() => getProviderForMethod(undefined)); + const configured = deps.aiConfigured ?? isAIConfigured; + + const getAIConfig = (): AIConfig => { + const provider = getProvider(); + return { provider: provider.id, apiKey: "" }; + }; + + return { + storage: { + settings: idbSingletonRepo>("settings"), + history: idbSingletonRepo("profile_history"), + annotations: idbMapRepo("annotations"), + dialInSessions: idbMapRepo("dialin_sessions"), + pourOverPrefs: idbSingletonRepo("pour_over_preferences"), + schedules: idbMapRepo("schedules"), + descriptions: idbMapRepo("profile_descriptions"), + aiTags: idbMapRepo("profile_ai_tags"), + aiCache: memoryCache(clock), + images: idbBlobStore(), + }, + secrets: { + getAIConfig, + }, + machine: { + getBaseUrl: () => machineBaseUrl().replace(/\/+$/, ""), + fetch: (path: string, init?: RequestInit) => { + const base = machineBaseUrl().replace(/\/+$/, ""); + if (!base) { + return Promise.reject(new Error("Machine base URL is not configured")); + } + const url = path.startsWith("http") + ? path + : `${base}${path.startsWith("/") ? path : `/${path}`}`; + return fetchImpl(url, init); + }, + }, + ai: providerAI(getProvider, configured), + clock, + logger: consoleLogger(), + }; +} From 1c20dfa185c19739df624e084ebfdd1493f653c5 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 22:19:51 +0200 Subject: [PATCH 22/62] feat(core): port system settings/version/network-ip routes into the core package Adds the system/meta route family to @metic/core so the Bun server (proxy mode) serves GET/POST /api/settings, GET /api/network-ip, and GET /api/version that the frontend calls at startup. Previously only the native DirectModeInterceptor implemented these; the server returned 404, leaving settings and version unavailable in proxy mode. - packages/core/src/routes/system.ts: settings payload mirrors the stable frontend contract (geminiApiKeyConfigured/meticulousIp/authorName/ geminiModel/mqttEnabled); the raw AI key is never returned. Configured state uses platform.ai.isConfigured() (the canonical cross-host signal). - platform.ts: add optional Platform.appVersion for GET /api/version. - node platform: resolveAppVersion() (APP_VERSION env, else VERSION file); browser platform: appVersion from the __APP_VERSION__ build define. - 9 contract tests; live-verified against the Bun server + machine 192.168.50.168 (settings round-trip, version, network-ip) and via a headless browser load of the built proxy-mode frontend (startup 404s cleared). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 21 ++- .../src/services/platform/browserPlatform.ts | 6 + packages/core/src/handler.ts | 4 + packages/core/src/platform.ts | 2 + packages/core/src/routes/system.ts | 121 ++++++++++++++++++ packages/core/test/contract/system.test.ts | 107 ++++++++++++++++ 6 files changed, 260 insertions(+), 1 deletion(-) create mode 100644 packages/core/src/routes/system.ts create mode 100644 packages/core/test/contract/system.test.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 69c6800c..19a5a4eb 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -9,7 +9,7 @@ */ import { mkdir, readFile, writeFile, readdir, unlink, rename } from "node:fs/promises"; -import { existsSync } from "node:fs"; +import { existsSync, readFileSync } from "node:fs"; import { join, dirname } from "node:path"; import { GoogleGenAI } from "@google/genai"; import type { @@ -268,6 +268,24 @@ function resolveMachineBaseUrl(override?: string): string { return ip.includes(":") ? `http://${ip}` : `http://${ip}:${MACHINE_PORT}`; } +/** App version for GET /api/version: $APP_VERSION, else the repo VERSION file, else "unknown". */ +function resolveAppVersion(): string { + const env = process.env.APP_VERSION?.trim(); + if (env) return env; + for (const candidate of ["VERSION", "../VERSION", "../../VERSION", "../../../VERSION"]) { + try { + const p = join(process.cwd(), candidate); + if (existsSync(p)) { + const v = readFileSync(p, "utf8").trim(); + if (v) return v; + } + } catch { + /* ignore and try the next candidate */ + } + } + return "unknown"; +} + export function createNodePlatform(options: NodePlatformOptions = {}): Platform { const dataDir = options.dataDir ?? process.env.DATA_DIR ?? join(process.cwd(), "data"); @@ -322,5 +340,6 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform scheduler: timerScheduler(logger), clock, logger, + appVersion: resolveAppVersion(), }; } diff --git a/apps/web/src/services/platform/browserPlatform.ts b/apps/web/src/services/platform/browserPlatform.ts index 2d4873d1..3736f945 100644 --- a/apps/web/src/services/platform/browserPlatform.ts +++ b/apps/web/src/services/platform/browserPlatform.ts @@ -194,6 +194,8 @@ export interface BrowserPlatformDeps { /** Machine base URL resolver. Defaults to `getDefaultMachineUrl`. */ machineBaseUrl?: () => string; clock?: () => number; + /** App/build version for GET /api/version. Defaults to the `__APP_VERSION__` build define. */ + appVersion?: string; /** Active AI provider resolver. Defaults to the configured provider. */ aiProvider?: () => AIProvider; /** Whether AI is configured. Defaults to `isAIConfigured`. */ @@ -251,5 +253,9 @@ export function createBrowserPlatform(deps: BrowserPlatformDeps = {}): Platform ai: providerAI(getProvider, configured), clock, logger: consoleLogger(), + appVersion: + deps.appVersion ?? + ((globalThis as Record).__APP_VERSION__ as string | undefined) ?? + "unknown", }; } diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index dafad74a..953e1dc7 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -8,6 +8,7 @@ import { handleProfileRecommendationRoutes } from "./routes/profiles"; import { handleApplyRecommendationsRoute } from "./routes/profileApply"; import { handleRegenerateDescriptionRoute } from "./routes/profileDescription"; import { handleAnalyzeAndProfileRoute } from "./routes/analyzeAndProfile"; +import { handleSystemRoutes } from "./routes/system"; /** * The single shared request handler for the unified TS core. @@ -51,5 +52,8 @@ export async function handle(req: Request, platform: Platform): Promise number; logger: Logger; + /** Optional app/build version surfaced by GET /api/version (defaults to "unknown"). */ + appVersion?: string; } diff --git a/packages/core/src/routes/system.ts b/packages/core/src/routes/system.ts new file mode 100644 index 00000000..c159fa6b --- /dev/null +++ b/packages/core/src/routes/system.ts @@ -0,0 +1,121 @@ +/** + * System / meta route family. + * + * MeticAI application metadata and configuration that is not part of the + * machine's native `/api/v1` surface. Ported to the unified core from the two + * existing implementations kept at parity: + * - server: apps/server/api/routes/system.py + * - native: apps/web/src/services/interceptor/DirectModeInterceptor.ts + * (settings / version / network-ip handlers) + * + * The frontend reads a small, stable subset of the settings payload + * (`geminiApiKeyConfigured`, `meticulousIp`, `authorName`, `geminiModel`, + * `mqttEnabled`), which is the contract mirrored here. The raw AI key is never + * returned; only whether one is configured. + * + * Routes: + * GET /api/settings -> effective settings (key masked) + * POST /api/settings -> persist author/model/mqtt/key, returns { status } + * GET /api/network-ip -> configured machine host + * GET /api/version -> app version + runtime mode + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; + +const SETTINGS_KEY = "settings"; +const DEFAULT_GEMINI_MODEL = "gemini-2.5-flash"; + +/** Extract the bare host from a machine base URL (e.g. http://1.2.3.4:8080 -> 1.2.3.4). */ +function machineHost(baseUrl: string): string { + if (!baseUrl) return ""; + try { + return new URL(baseUrl).hostname; + } catch { + return baseUrl.replace(/^https?:\/\//, "").replace(/[:/].*$/, ""); + } +} + +async function readSettings(platform: Platform): Promise> { + const stored = await platform.storage.settings.read(SETTINGS_KEY); + return stored && typeof stored === "object" ? { ...stored } : {}; +} + +async function getSettingsPayload(platform: Platform): Promise> { + const stored = await readSettings(platform); + const aiConfig = platform.secrets.getAIConfig(); + const configured = platform.ai.isConfigured(); + const storedModel = + typeof stored.geminiModel === "string" && stored.geminiModel.trim() + ? (stored.geminiModel as string) + : ""; + const mqttEnabled = stored.mqttEnabled !== false; + + return { + // The raw key is never exposed; report the masked/configured state only. + geminiApiKey: configured ? "********" : "", + geminiApiKeyMasked: configured, + geminiApiKeyConfigured: configured, + aiProvider: aiConfig.provider || "gemini", + meticulousIp: machineHost(platform.machine.getBaseUrl()), + authorName: typeof stored.authorName === "string" ? stored.authorName : "", + geminiModel: aiConfig.model || storedModel || DEFAULT_GEMINI_MODEL, + mqttEnabled, + }; +} + +async function saveSettings( + platform: Platform, + body: Record, +): Promise { + const stored = await readSettings(platform); + if (typeof body.geminiApiKey === "string") stored.geminiApiKey = body.geminiApiKey; + if (typeof body.authorName === "string") stored.authorName = body.authorName; + if (typeof body.geminiModel === "string") stored.geminiModel = body.geminiModel; + if (typeof body.mqttEnabled === "boolean") stored.mqttEnabled = body.mqttEnabled; + await platform.storage.settings.write(SETTINGS_KEY, stored); +} + +/** + * Dispatch system/meta routes. Returns `null` if the request is not one of + * this family's routes so the next family can try it. + */ +export async function handleSystemRoutes( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + + if (pathname === "/api/settings") { + if (req.method === "GET") { + return jsonResponse(await getSettingsPayload(platform)); + } + if (req.method === "POST") { + let body: Record; + try { + body = (await req.json()) as Record; + } catch { + return jsonResponse({ status: "error", detail: "Invalid JSON body" }, 400); + } + if (!body || typeof body !== "object") { + return jsonResponse({ status: "error", detail: "Invalid settings body" }, 400); + } + await saveSettings(platform, body); + return jsonResponse({ status: "ok" }); + } + return null; + } + + if (pathname === "/api/network-ip" && req.method === "GET") { + return jsonResponse({ ip: machineHost(platform.machine.getBaseUrl()) }); + } + + if (pathname === "/api/version" && req.method === "GET") { + return jsonResponse({ + version: platform.appVersion || "unknown", + mode: "server", + }); + } + + return null; +} diff --git a/packages/core/test/contract/system.test.ts b/packages/core/test/contract/system.test.ts new file mode 100644 index 00000000..e76eb0c1 --- /dev/null +++ b/packages/core/test/contract/system.test.ts @@ -0,0 +1,107 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedAI } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { Platform } from "../../src/platform"; + +function get(path: string): Request { + return new Request(`http://x${path}`); +} + +function post(path: string, body: unknown): Request { + return new Request(`http://x${path}`, { + method: "POST", + headers: { "content-type": "application/json" }, + body: typeof body === "string" ? body : JSON.stringify(body), + }); +} + +describe("system: GET /api/settings", () => { + test("reports configured AI + machine host, defaults for the rest", async () => { + const p = makeMockPlatform({ ai: scriptedAI("") }); + const res = await handle(get("/api/settings"), p); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body.geminiApiKeyConfigured).toBe(true); + expect(body.geminiApiKeyMasked).toBe(true); + // The raw key is never returned. + expect(body.geminiApiKey).toBe("********"); + expect(body.meticulousIp).toBe("machine.test"); + expect(body.authorName).toBe(""); + expect(body.geminiModel).toBe("gemini-2.5-flash"); + expect(body.mqttEnabled).toBe(true); + expect(body.aiProvider).toBe("gemini"); + }); + + test("reports not-configured when AI is unavailable and never leaks a key", async () => { + const p = makeMockPlatform(); // default unconfiguredAI + const res = await handle(get("/api/settings"), p); + const body = await res.json(); + expect(body.geminiApiKeyConfigured).toBe(false); + expect(body.geminiApiKeyMasked).toBe(false); + expect(body.geminiApiKey).toBe(""); + }); + + test("reflects the resolved provider model when set", async () => { + const p = makeMockPlatform({ + ai: scriptedAI(""), + secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "k", model: "gemini-3.1-pro" }) }, + }); + const body = await (await handle(get("/api/settings"), p)).json(); + expect(body.geminiModel).toBe("gemini-3.1-pro"); + }); +}); + +describe("system: POST /api/settings", () => { + test("persists author/model/mqtt and round-trips on GET", async () => { + const p = makeMockPlatform({ ai: scriptedAI("") }); + const save = await handle( + post("/api/settings", { authorName: "Jesper", geminiModel: "gemini-3.1-flash", mqttEnabled: false }), + p, + ); + expect(save.status).toBe(200); + expect(await save.json()).toEqual({ status: "ok" }); + + const body = await (await handle(get("/api/settings"), p)).json(); + expect(body.authorName).toBe("Jesper"); + // getAIConfig().model (unset here) falls back to the stored model. + expect(body.geminiModel).toBe("gemini-3.1-flash"); + expect(body.mqttEnabled).toBe(false); + }); + + test("stored key never surfaces raw; only the configured flag changes", async () => { + // Provider stays unconfigured (env-managed), but a UI-entered key is stored. + const p = makeMockPlatform(); + await handle(post("/api/settings", { geminiApiKey: "super-secret" }), p); + const body = await (await handle(get("/api/settings"), p)).json(); + expect(body.geminiApiKey).not.toBe("super-secret"); + }); + + test("rejects a malformed JSON body", async () => { + const p = makeMockPlatform(); + const res = await handle(post("/api/settings", "not json{"), p); + expect(res.status).toBe(400); + expect((await res.json()).status).toBe("error"); + }); +}); + +describe("system: GET /api/network-ip", () => { + test("returns the machine host", async () => { + const res = await handle(get("/api/network-ip"), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ ip: "machine.test" }); + }); +}); + +describe("system: GET /api/version", () => { + test("returns the platform appVersion and server mode", async () => { + const p: Platform = makeMockPlatform({ appVersion: "3.0.0-test" }); + const res = await handle(get("/api/version"), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ version: "3.0.0-test", mode: "server" }); + }); + + test("falls back to 'unknown' when no appVersion is provided", async () => { + const body = await (await handle(get("/api/version"), makeMockPlatform())).json(); + expect(body.version).toBe("unknown"); + }); +}); From 39ffd68ccfbdb84aa357cccfee3e8915dd82bcd9 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 22:20:21 +0200 Subject: [PATCH 23/62] chore: gitignore *.tsbuildinfo build artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index 1d5efe79..fcbc8f44 100644 --- a/.gitignore +++ b/.gitignore @@ -88,3 +88,6 @@ testflight.md # Brainstorming visual companion .superpowers/ + +# TypeScript incremental build info +*.tsbuildinfo From baa10f4d8f8cc700cb6544f1f2e2ecbdb47f2ba3 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 23:43:15 +0200 Subject: [PATCH 24/62] feat(core): port machine shot-history routes with tombstone/notes overlay Adds the /api/history family to @metic/core using native semantics (user-approved): the machine shot history from /api/v1/history filtered by local soft-delete tombstones, with per-shot notes and AI descriptions overlaid from the Platform storage. Includes list, single detail with profile_json, notes GET/PATCH round-trip, and DELETE tombstone. Fixes a latent default-parameter bug where an absent limit query param resolved to 0 (Number(null)) instead of the intended fallback of 50. Live-verified through the Bun server against machine 192.168.50.168: 20 shots normalized, notes round-trip, tombstone delete 20 to 19. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/handler.ts | 4 + packages/core/src/logic/machineHistory.ts | 117 ++++++++++ packages/core/src/routes/history.ts | 224 ++++++++++++++++++++ packages/core/test/contract/history.test.ts | 134 ++++++++++++ 4 files changed, 479 insertions(+) create mode 100644 packages/core/src/logic/machineHistory.ts create mode 100644 packages/core/src/routes/history.ts create mode 100644 packages/core/test/contract/history.test.ts diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 953e1dc7..d586d9a0 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -9,6 +9,7 @@ import { handleApplyRecommendationsRoute } from "./routes/profileApply"; import { handleRegenerateDescriptionRoute } from "./routes/profileDescription"; import { handleAnalyzeAndProfileRoute } from "./routes/analyzeAndProfile"; import { handleSystemRoutes } from "./routes/system"; +import { handleHistoryRoutes } from "./routes/history"; /** * The single shared request handler for the unified TS core. @@ -55,5 +56,8 @@ export async function handle(req: Request, platform: Platform): Promise; + data?: Array<{ shot?: { weight?: number }; time?: number; profile_time?: number }>; +} + +/** Per-shot notes overlay. */ +export interface HistoryNotes { + notes: string | null; + notes_updated_at: string | null; +} + +/** The normalized history entry the frontend consumes (MeticAI format). */ +export interface NormalizedHistoryEntry { + id: string; + created_at: string; + profile_name: string; + coffee_analysis: null; + user_preferences: null; + reply: string; + profile_json: Record | null; + notes: string | null; + notes_updated_at: string | null; +} + +const EMPTY_NOTES: HistoryNotes = { notes: null, notes_updated_at: null }; + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +export function historyProfileName(entry: MachineHistoryEntry): string { + return typeof entry.profile?.name === "string" ? entry.profile.name : entry.name ?? "Unknown"; +} + +export function historyProfileId(entry: MachineHistoryEntry): string { + return typeof entry.profile?.id === "string" ? entry.profile.id : entry.id; +} + +export function historyEntryDate(entry: MachineHistoryEntry): string { + return new Date(entry.time * 1000).toISOString().split("T")[0]!; +} + +export function historyEntryFilename(entry: MachineHistoryEntry): string { + return entry.file ?? `${entry.id}.json`; +} + +export function historyMetrics(entry: MachineHistoryEntry): { + final_weight: number | null; + total_time: number | null; +} { + const lastPoint = entry.data?.[entry.data.length - 1]; + const totalTimeMs = lastPoint?.profile_time ?? lastPoint?.time; + const profileWeight = entry.profile?.final_weight; + return { + final_weight: + lastPoint?.shot?.weight ?? (typeof profileWeight === "number" ? profileWeight : null), + total_time: totalTimeMs ? totalTimeMs / 1000 : null, + }; +} + +export function normalizeHistoryEntry( + entry: MachineHistoryEntry, + notes: HistoryNotes = EMPTY_NOTES, + description = "", +): NormalizedHistoryEntry { + return { + id: entry.id, + created_at: new Date(entry.time * 1000).toISOString(), + profile_name: historyProfileName(entry), + coffee_analysis: null, + user_preferences: null, + reply: description, + profile_json: entry.profile ?? null, + notes: notes.notes, + notes_updated_at: notes.notes_updated_at, + }; +} + +export function normalizeLastShot(entry: MachineHistoryEntry): { + profile_name: string; + date: string; + filename: string; + timestamp: number; + final_weight: number | null; + total_time: number | null; +} { + return { + profile_name: historyProfileName(entry), + date: historyEntryDate(entry), + filename: historyEntryFilename(entry), + timestamp: entry.time, + ...historyMetrics(entry), + }; +} + +/** Coerce a machine history response (array or `{ history: [...] }`) into entries. */ +export function parseMachineHistory(raw: unknown): MachineHistoryEntry[] { + if (Array.isArray(raw)) return raw as MachineHistoryEntry[]; + if (isRecord(raw) && Array.isArray(raw.history)) return raw.history as MachineHistoryEntry[]; + return []; +} diff --git a/packages/core/src/routes/history.ts b/packages/core/src/routes/history.ts new file mode 100644 index 00000000..32c9f05e --- /dev/null +++ b/packages/core/src/routes/history.ts @@ -0,0 +1,224 @@ +/** + * History route family (unified, native semantics). + * + * `/api/history` is the espresso machine's shot log overlaid with a local store + * of tombstones (hidden shots) and per-shot notes. This adopts the direct-mode + * behaviour (see apps/web/src/services/interceptor/DirectModeInterceptor.ts): + * the machine's history is immutable, so "delete" hides an entry locally and + * notes are kept host-side. The overlay is persisted through + * `platform.storage.history` (a singleton document); AI-generated profile + * descriptions are read from `platform.storage.descriptions`. + * + * Routes: + * GET /api/history -> paginated normalized entries + * DELETE /api/history -> tombstone all currently visible shots + * GET /api/history/{id} -> single normalized entry + * DELETE /api/history/{id} -> tombstone one shot + * GET /api/history/{id}/json -> the entry's raw profile JSON + * GET /api/history/{id}/notes -> per-shot notes + * PATCH /api/history/{id}/notes -> upsert notes (PUT accepted too) + */ + +import type { Platform, Repo } from "../platform"; +import { jsonResponse } from "../http"; +import { + type HistoryNotes, + type MachineHistoryEntry, + normalizeHistoryEntry, + parseMachineHistory, +} from "../logic/machineHistory"; + +const OVERLAY_KEY = "history"; + +interface HistoryOverlay { + tombstones: string[]; + notes: Record; +} + +function overlayRepo(platform: Platform): Repo { + return platform.storage.history as Repo; +} + +async function loadOverlay(platform: Platform): Promise { + const stored = await overlayRepo(platform).read(OVERLAY_KEY); + return { + tombstones: Array.isArray(stored?.tombstones) ? stored!.tombstones : [], + notes: stored?.notes && typeof stored.notes === "object" ? stored.notes : {}, + }; +} + +async function saveOverlay(platform: Platform, overlay: HistoryOverlay): Promise { + await overlayRepo(platform).write(OVERLAY_KEY, overlay); +} + +function safeInt(value: string | null, fallback: number): number { + if (value === null || value.trim() === "") return fallback; + const n = Number(value); + return Number.isFinite(n) ? n : fallback; +} + +/** Fetch the full machine history (search endpoint, falling back to the short list). */ +async function loadMachineHistory(platform: Platform): Promise { + try { + const search = await platform.machine.fetch("/api/v1/history", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + query: "", + ids: [], + start_date: "", + end_date: "", + order_by: ["date"], + sort: "desc", + max_results: 1000, + dump_data: false, + }), + }); + if (search.ok) { + return parseMachineHistory(await search.json()); + } + } catch { + /* fall through to the short-listing */ + } + try { + const res = await platform.machine.fetch("/api/v1/history"); + if (!res.ok) return []; + return parseMachineHistory(await res.json()); + } catch { + return []; + } +} + +async function loadVisibleHistory(platform: Platform): Promise<{ + entries: MachineHistoryEntry[]; + overlay: HistoryOverlay; +}> { + const [entries, overlay] = await Promise.all([ + loadMachineHistory(platform), + loadOverlay(platform), + ]); + const hidden = new Set(overlay.tombstones); + return { entries: entries.filter((e) => !hidden.has(e.id)), overlay }; +} + +async function descriptionFor( + platform: Platform, + entry: MachineHistoryEntry, +): Promise { + const name = typeof entry.profile?.name === "string" ? entry.profile.name : entry.name ?? ""; + const id = typeof entry.profile?.id === "string" ? entry.profile.id : ""; + const byName = name ? await platform.storage.descriptions.read(name) : null; + if (byName) return byName; + const byId = id ? await platform.storage.descriptions.read(id) : null; + return byId ?? ""; +} + +function notesFor(overlay: HistoryOverlay, id: string): HistoryNotes { + const stored = overlay.notes[id]; + return { notes: stored?.notes ?? null, notes_updated_at: stored?.notes_updated_at ?? null }; +} + +const NOTES_RE = /^\/api\/history\/([^/]+)\/notes$/; +const JSON_RE = /^\/api\/history\/([^/]+)\/json$/; +const DETAIL_RE = /^\/api\/history\/([^/]+)$/; + +export async function handleHistoryRoutes( + req: Request, + platform: Platform, +): Promise { + const url = new URL(req.url); + const { pathname } = url; + const method = req.method; + + // /api/history/{id}/notes + const notesMatch = pathname.match(NOTES_RE); + if (notesMatch) { + const id = decodeURIComponent(notesMatch[1]!); + if (method === "GET") { + const overlay = await loadOverlay(platform); + return jsonResponse({ status: "success", ...notesFor(overlay, id) }); + } + if (method === "PATCH" || method === "PUT") { + let body: { notes?: string }; + try { + body = (await req.json()) as { notes?: string }; + } catch { + return jsonResponse({ detail: "Invalid JSON body" }, 400); + } + const overlay = await loadOverlay(platform); + const notes_updated_at = new Date(platform.clock()).toISOString(); + const notes = body.notes ?? ""; + overlay.notes[id] = { notes, notes_updated_at }; + await saveOverlay(platform, overlay); + return jsonResponse({ status: "success", notes, notes_updated_at }); + } + return null; + } + + // /api/history/{id}/json + const jsonMatch = pathname.match(JSON_RE); + if (jsonMatch && method === "GET") { + const id = decodeURIComponent(jsonMatch[1]!); + const { entries } = await loadVisibleHistory(platform); + const entry = entries.find((e) => e.id === id); + if (!entry) return jsonResponse({ detail: "History entry not found" }, 404); + return jsonResponse(entry.profile ?? null); + } + + // /api/history/{id} + const detailMatch = pathname.match(DETAIL_RE); + if (detailMatch) { + const id = decodeURIComponent(detailMatch[1]!); + if (method === "GET") { + const { entries, overlay } = await loadVisibleHistory(platform); + const entry = entries.find((e) => e.id === id); + if (!entry) return jsonResponse({ detail: "History entry not found" }, 404); + return jsonResponse( + normalizeHistoryEntry(entry, notesFor(overlay, id), await descriptionFor(platform, entry)), + ); + } + if (method === "DELETE") { + const { entries, overlay } = await loadVisibleHistory(platform); + if (!entries.some((e) => e.id === id)) { + return jsonResponse({ detail: "History entry not found" }, 404); + } + if (!overlay.tombstones.includes(id)) overlay.tombstones.push(id); + delete overlay.notes[id]; + await saveOverlay(platform, overlay); + return jsonResponse({ status: "success", message: "History entry deleted" }); + } + return null; + } + + // /api/history (collection) + if (pathname === "/api/history") { + if (method === "GET") { + const limit = safeInt(url.searchParams.get("limit"), 50); + const offset = safeInt(url.searchParams.get("offset"), 0); + const { entries, overlay } = await loadVisibleHistory(platform); + const page = entries.slice(offset, offset + limit); + const normalized = await Promise.all( + page.map(async (entry) => + normalizeHistoryEntry( + entry, + notesFor(overlay, entry.id), + await descriptionFor(platform, entry), + ), + ), + ); + return jsonResponse({ entries: normalized, total: entries.length, limit, offset }); + } + if (method === "DELETE") { + const { entries, overlay } = await loadVisibleHistory(platform); + for (const entry of entries) { + if (!overlay.tombstones.includes(entry.id)) overlay.tombstones.push(entry.id); + delete overlay.notes[entry.id]; + } + await saveOverlay(platform, overlay); + return jsonResponse({ status: "success", message: "All history cleared" }); + } + return null; + } + + return null; +} diff --git a/packages/core/test/contract/history.test.ts b/packages/core/test/contract/history.test.ts new file mode 100644 index 00000000..c320a3c1 --- /dev/null +++ b/packages/core/test/contract/history.test.ts @@ -0,0 +1,134 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { Platform } from "../../src/platform"; + +const T = 1_700_000_000; // seconds +const ISO = new Date(T * 1000).toISOString(); + +const SHOTS = [ + { id: "shot-a", time: T, profile: { id: "p1", name: "Turbo Bloom" }, data: [{ shot: { weight: 36 }, profile_time: 28000 }] }, + { id: "shot-b", time: T - 3600, profile: { id: "p2", name: "Slow Ramp" }, data: [{ shot: { weight: 40 }, time: 32000 }] }, +]; + +function machinePlatform(overrides: Partial = {}): Platform { + return makeMockPlatform({ + clock: () => T * 1000, + machine: scriptedMachine({ "/api/v1/history": SHOTS }), + ...overrides, + }); +} + +function req(path: string, method = "GET", body?: unknown): Request { + return new Request(`http://x${path}`, { + method, + ...(body !== undefined + ? { headers: { "content-type": "application/json" }, body: JSON.stringify(body) } + : {}), + }); +} + +describe("history: GET /api/history", () => { + test("returns normalized, paginated machine shots", async () => { + const res = await handle(req("/api/history?limit=1&offset=0"), machinePlatform()); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body.total).toBe(2); + expect(body.limit).toBe(1); + expect(body.entries).toHaveLength(1); + expect(body.entries[0]).toMatchObject({ + id: "shot-a", + profile_name: "Turbo Bloom", + created_at: ISO, + profile_json: { id: "p1", name: "Turbo Bloom" }, + notes: null, + notes_updated_at: null, + reply: "", + }); + }); + + test("includes the AI description from storage.descriptions when present", async () => { + const p = machinePlatform(); + await p.storage.descriptions.write("Turbo Bloom", "A punchy chocolate shot."); + const body = await (await handle(req("/api/history"), p)).json(); + const entry = body.entries.find((e: { id: string }) => e.id === "shot-a"); + expect(entry.reply).toBe("A punchy chocolate shot."); + }); +}); + +describe("history: DELETE /api/history/{id} (tombstone)", () => { + test("hides a shot locally and 404s if already gone", async () => { + const p = machinePlatform(); + const del = await handle(req("/api/history/shot-a", "DELETE"), p); + expect(del.status).toBe(200); + expect((await del.json()).status).toBe("success"); + + const list = await (await handle(req("/api/history"), p)).json(); + expect(list.total).toBe(1); + expect(list.entries.map((e: { id: string }) => e.id)).toEqual(["shot-b"]); + + const again = await handle(req("/api/history/shot-a", "DELETE"), p); + expect(again.status).toBe(404); + }); + + test("DELETE /api/history tombstones all visible shots", async () => { + const p = machinePlatform(); + const res = await handle(req("/api/history", "DELETE"), p); + expect(res.status).toBe(200); + const list = await (await handle(req("/api/history"), p)).json(); + expect(list.total).toBe(0); + }); +}); + +describe("history: GET /api/history/{id}", () => { + test("returns a single normalized entry", async () => { + const body = await (await handle(req("/api/history/shot-b"), machinePlatform())).json(); + expect(body).toMatchObject({ id: "shot-b", profile_name: "Slow Ramp" }); + expect(body.profile_json).toEqual({ id: "p2", name: "Slow Ramp" }); + }); + + test("404 for an unknown id", async () => { + const res = await handle(req("/api/history/nope"), machinePlatform()); + expect(res.status).toBe(404); + }); +}); + +describe("history: notes", () => { + test("PATCH then GET round-trips per-shot notes", async () => { + const p = machinePlatform(); + const save = await handle(req("/api/history/shot-a/notes", "PATCH", { notes: "grind finer" }), p); + expect(save.status).toBe(200); + const saved = await save.json(); + expect(saved).toMatchObject({ status: "success", notes: "grind finer", notes_updated_at: ISO }); + + const got = await (await handle(req("/api/history/shot-a/notes"), p)).json(); + expect(got).toEqual({ status: "success", notes: "grind finer", notes_updated_at: ISO }); + + // Notes also surface on the entry + list view. + const entry = await (await handle(req("/api/history/shot-a"), p)).json(); + expect(entry.notes).toBe("grind finer"); + }); + + test("deleting a shot clears its notes", async () => { + const p = machinePlatform(); + await handle(req("/api/history/shot-a/notes", "PATCH", { notes: "x" }), p); + await handle(req("/api/history/shot-a", "DELETE"), p); + const got = await (await handle(req("/api/history/shot-a/notes"), p)).json(); + expect(got.notes).toBe(null); + }); +}); + +describe("history: GET /api/history/{id}/json", () => { + test("returns the raw profile json", async () => { + const body = await (await handle(req("/api/history/shot-a/json"), machinePlatform())).json(); + expect(body).toEqual({ id: "p1", name: "Turbo Bloom" }); + }); +}); + +describe("history: machine unreachable", () => { + test("GET degrades to an empty history", async () => { + const res = await handle(req("/api/history"), makeMockPlatform()); // unwired machine + expect(res.status).toBe(200); + expect(await res.json()).toMatchObject({ entries: [], total: 0 }); + }); +}); From 3e5749f069a3e83ee8d5683c2dd3bd48239aaadc Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 23:53:48 +0200 Subject: [PATCH 25/62] feat(core): port machine shot-history read routes into the core package Adds the GET read family to @metic/core with native semantics, all served through the shared visible-history loader so local soft-deletes apply consistently: - /api/last-shot - /api/shots/dates - /api/shots/recent - /api/shots/recent/by-profile - /api/shots/by-profile/{name} - /api/shots/data/{date}/{filename} Extracts the machine-history store access (loadVisibleHistory, overlay, notes, descriptions) into logic/historyStore so the history and shots families share one implementation, and adds hasRecentShotAnnotation to machineHistory. Annotation flags reuse the ported annotations summaries. Live-verified through the Bun server against machine 192.168.50.168: 20 recent shots, 4 profile groups, paged by-profile, and 338-point telemetry converted for /api/shots/data. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/handler.ts | 4 + packages/core/src/logic/historyStore.ts | 101 +++++++ packages/core/src/logic/machineHistory.ts | 7 + packages/core/src/routes/history.ts | 98 +------ packages/core/src/routes/shotsRead.ts | 260 ++++++++++++++++++ packages/core/test/contract/shotsRead.test.ts | 155 +++++++++++ 6 files changed, 535 insertions(+), 90 deletions(-) create mode 100644 packages/core/src/logic/historyStore.ts create mode 100644 packages/core/src/routes/shotsRead.ts create mode 100644 packages/core/test/contract/shotsRead.test.ts diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index d586d9a0..708e4aa3 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -10,6 +10,7 @@ import { handleRegenerateDescriptionRoute } from "./routes/profileDescription"; import { handleAnalyzeAndProfileRoute } from "./routes/analyzeAndProfile"; import { handleSystemRoutes } from "./routes/system"; import { handleHistoryRoutes } from "./routes/history"; +import { handleShotsReadRoutes } from "./routes/shotsRead"; /** * The single shared request handler for the unified TS core. @@ -59,5 +60,8 @@ export async function handle(req: Request, platform: Platform): Promise; +} + +function overlayRepo(platform: Platform): Repo { + return platform.storage.history as Repo; +} + +export async function loadOverlay(platform: Platform): Promise { + const stored = await overlayRepo(platform).read(OVERLAY_KEY); + return { + tombstones: Array.isArray(stored?.tombstones) ? stored!.tombstones : [], + notes: stored?.notes && typeof stored.notes === "object" ? stored.notes : {}, + }; +} + +export async function saveOverlay(platform: Platform, overlay: HistoryOverlay): Promise { + await overlayRepo(platform).write(OVERLAY_KEY, overlay); +} + +/** Fetch the full machine history (search endpoint, falling back to the short list). */ +export async function loadMachineHistory(platform: Platform): Promise { + try { + const search = await platform.machine.fetch("/api/v1/history", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + query: "", + ids: [], + start_date: "", + end_date: "", + order_by: ["date"], + sort: "desc", + max_results: 1000, + dump_data: false, + }), + }); + if (search.ok) { + return parseMachineHistory(await search.json()); + } + } catch { + /* fall through to the short-listing */ + } + try { + const res = await platform.machine.fetch("/api/v1/history"); + if (!res.ok) return []; + return parseMachineHistory(await res.json()); + } catch { + return []; + } +} + +export async function loadVisibleHistory(platform: Platform): Promise<{ + entries: MachineHistoryEntry[]; + overlay: HistoryOverlay; +}> { + const [entries, overlay] = await Promise.all([ + loadMachineHistory(platform), + loadOverlay(platform), + ]); + const hidden = new Set(overlay.tombstones); + return { entries: entries.filter((e) => !hidden.has(e.id)), overlay }; +} + +export async function descriptionFor( + platform: Platform, + entry: MachineHistoryEntry, +): Promise { + const name = typeof entry.profile?.name === "string" ? entry.profile.name : entry.name ?? ""; + const id = typeof entry.profile?.id === "string" ? entry.profile.id : ""; + const byName = name ? await platform.storage.descriptions.read(name) : null; + if (byName) return byName; + const byId = id ? await platform.storage.descriptions.read(id) : null; + return byId ?? ""; +} + +export function notesFor(overlay: HistoryOverlay, id: string): HistoryNotes { + const stored = overlay.notes[id]; + return { notes: stored?.notes ?? null, notes_updated_at: stored?.notes_updated_at ?? null }; +} diff --git a/packages/core/src/logic/machineHistory.ts b/packages/core/src/logic/machineHistory.ts index b9e2442f..a4c30501 100644 --- a/packages/core/src/logic/machineHistory.ts +++ b/packages/core/src/logic/machineHistory.ts @@ -115,3 +115,10 @@ export function parseMachineHistory(raw: unknown): MachineHistoryEntry[] { if (isRecord(raw) && Array.isArray(raw.history)) return raw.history as MachineHistoryEntry[]; return []; } + +/** Whether an annotation summary marks the shot as annotated (text or rating). */ +export function hasRecentShotAnnotation( + annotation?: { has_annotation: boolean; rating: number | null }, +): boolean { + return annotation !== undefined && (annotation.has_annotation || annotation.rating !== null); +} diff --git a/packages/core/src/routes/history.ts b/packages/core/src/routes/history.ts index 32c9f05e..495bfe78 100644 --- a/packages/core/src/routes/history.ts +++ b/packages/core/src/routes/history.ts @@ -19,37 +19,16 @@ * PATCH /api/history/{id}/notes -> upsert notes (PUT accepted too) */ -import type { Platform, Repo } from "../platform"; +import type { Platform } from "../platform"; import { jsonResponse } from "../http"; +import { normalizeHistoryEntry } from "../logic/machineHistory"; import { - type HistoryNotes, - type MachineHistoryEntry, - normalizeHistoryEntry, - parseMachineHistory, -} from "../logic/machineHistory"; - -const OVERLAY_KEY = "history"; - -interface HistoryOverlay { - tombstones: string[]; - notes: Record; -} - -function overlayRepo(platform: Platform): Repo { - return platform.storage.history as Repo; -} - -async function loadOverlay(platform: Platform): Promise { - const stored = await overlayRepo(platform).read(OVERLAY_KEY); - return { - tombstones: Array.isArray(stored?.tombstones) ? stored!.tombstones : [], - notes: stored?.notes && typeof stored.notes === "object" ? stored.notes : {}, - }; -} - -async function saveOverlay(platform: Platform, overlay: HistoryOverlay): Promise { - await overlayRepo(platform).write(OVERLAY_KEY, overlay); -} + descriptionFor, + loadOverlay, + loadVisibleHistory, + notesFor, + saveOverlay, +} from "../logic/historyStore"; function safeInt(value: string | null, fallback: number): number { if (value === null || value.trim() === "") return fallback; @@ -57,67 +36,6 @@ function safeInt(value: string | null, fallback: number): number { return Number.isFinite(n) ? n : fallback; } -/** Fetch the full machine history (search endpoint, falling back to the short list). */ -async function loadMachineHistory(platform: Platform): Promise { - try { - const search = await platform.machine.fetch("/api/v1/history", { - method: "POST", - headers: { "Content-Type": "application/json" }, - body: JSON.stringify({ - query: "", - ids: [], - start_date: "", - end_date: "", - order_by: ["date"], - sort: "desc", - max_results: 1000, - dump_data: false, - }), - }); - if (search.ok) { - return parseMachineHistory(await search.json()); - } - } catch { - /* fall through to the short-listing */ - } - try { - const res = await platform.machine.fetch("/api/v1/history"); - if (!res.ok) return []; - return parseMachineHistory(await res.json()); - } catch { - return []; - } -} - -async function loadVisibleHistory(platform: Platform): Promise<{ - entries: MachineHistoryEntry[]; - overlay: HistoryOverlay; -}> { - const [entries, overlay] = await Promise.all([ - loadMachineHistory(platform), - loadOverlay(platform), - ]); - const hidden = new Set(overlay.tombstones); - return { entries: entries.filter((e) => !hidden.has(e.id)), overlay }; -} - -async function descriptionFor( - platform: Platform, - entry: MachineHistoryEntry, -): Promise { - const name = typeof entry.profile?.name === "string" ? entry.profile.name : entry.name ?? ""; - const id = typeof entry.profile?.id === "string" ? entry.profile.id : ""; - const byName = name ? await platform.storage.descriptions.read(name) : null; - if (byName) return byName; - const byId = id ? await platform.storage.descriptions.read(id) : null; - return byId ?? ""; -} - -function notesFor(overlay: HistoryOverlay, id: string): HistoryNotes { - const stored = overlay.notes[id]; - return { notes: stored?.notes ?? null, notes_updated_at: stored?.notes_updated_at ?? null }; -} - const NOTES_RE = /^\/api\/history\/([^/]+)\/notes$/; const JSON_RE = /^\/api\/history\/([^/]+)\/json$/; const DETAIL_RE = /^\/api\/history\/([^/]+)$/; diff --git a/packages/core/src/routes/shotsRead.ts b/packages/core/src/routes/shotsRead.ts new file mode 100644 index 00000000..c423adf3 --- /dev/null +++ b/packages/core/src/routes/shotsRead.ts @@ -0,0 +1,260 @@ +/** + * Machine shot-history read family (unified, native semantics). + * + * These GET routes translate the espresso machine's shot log (via the shared + * visible-history loader, so local soft-deletes apply) into the MeticAI shapes + * the frontend consumes. This is a straight port of the direct-mode oracle + * (apps/web/src/services/interceptor/DirectModeInterceptor.ts), kept at parity + * with the server (apps/server/api/routes/shots.py). + * + * Routes: + * GET /api/last-shot -> most-recent normalized shot + * GET /api/shots/dates -> distinct shot dates (desc) + * GET /api/shots/recent/by-profile -> shots grouped by profile + * GET /api/shots/recent -> flat recent-shot list + * GET /api/shots/by-profile/{profile_name} -> shots for one profile (paged) + * GET /api/shots/data/{date}/{filename} -> full telemetry for one shot + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { + type MachineHistoryEntry, + historyEntryDate, + historyEntryFilename, + historyMetrics, + historyProfileId, + historyProfileName, + hasRecentShotAnnotation, + normalizeLastShot, +} from "../logic/machineHistory"; +import { loadVisibleHistory } from "../logic/historyStore"; +import { getAnnotationSummaries } from "./annotations"; + +/** A telemetry sample as stored on a machine history entry. */ +interface ShotSample { + status?: string; + time?: number; + profile_time?: number; + shot?: { + pressure?: number; + flow?: number; + weight?: number; + gravimetric_flow?: number; + }; + sensors?: { external_1?: number }; +} + +interface ShotDataEntry extends MachineHistoryEntry { + profile?: { + name?: string; + id?: string; + final_weight?: number; + temperature?: number; + author?: string; + stages?: Array<{ name: string; type: string; key?: string }>; + } & Record; + data?: ShotSample[]; +} + +function safePositiveInt(value: string | null, fallback: number): number { + const n = Number(value); + return Number.isFinite(n) && n > 0 ? n : fallback; +} + +const BY_PROFILE_RE = /^\/api\/shots\/by-profile\/(.+)$/; +const DATA_RE = /^\/api\/shots\/data\/([^/]+)\/(.+)$/; + +export async function handleShotsReadRoutes( + req: Request, + platform: Platform, +): Promise { + if (req.method !== "GET") return null; + const url = new URL(req.url); + const { pathname } = url; + + // GET /api/last-shot -> most-recent normalized shot. + if (pathname === "/api/last-shot") { + try { + const { entries } = await loadVisibleHistory(platform); + const entry = [...entries].sort((a, b) => b.time - a.time)[0]; + if (!entry) return jsonResponse({ detail: "No shots found" }, 404); + return jsonResponse(normalizeLastShot(entry)); + } catch { + return jsonResponse({ detail: "No shots found" }, 404); + } + } + + // GET /api/shots/dates -> distinct dates, newest first. + if (pathname === "/api/shots/dates") { + try { + const { entries } = await loadVisibleHistory(platform); + const dates = [...new Set(entries.map(historyEntryDate))].sort((a, b) => b.localeCompare(a)); + return jsonResponse({ dates }); + } catch { + return jsonResponse({ dates: [] }); + } + } + + // GET /api/shots/recent/by-profile -> shots grouped by profile. + if (pathname === "/api/shots/recent/by-profile") { + try { + const { entries } = await loadVisibleHistory(platform); + const annotations = await getAnnotationSummaries(platform); + const groups = new Map< + string, + { profile_name: string; profile_id: string; shots: unknown[]; shot_count: number } + >(); + for (const e of entries) { + const pName = historyProfileName(e); + const pId = historyProfileId(e); + const shotDate = historyEntryDate(e); + const shotFilename = historyEntryFilename(e); + const metrics = historyMetrics(e); + const annotation = annotations[`${shotDate}/${shotFilename}`]; + const shot = { + profile_name: pName, + profile_id: pId, + date: shotDate, + filename: shotFilename, + timestamp: e.time, + final_weight: metrics.final_weight, + total_time: metrics.total_time, + has_annotation: hasRecentShotAnnotation(annotation), + }; + if (!groups.has(pName)) { + groups.set(pName, { profile_name: pName, profile_id: pId, shots: [], shot_count: 0 }); + } + const g = groups.get(pName)!; + g.shots.push(shot); + g.shot_count++; + } + return jsonResponse({ profiles: Array.from(groups.values()) }); + } catch { + return jsonResponse({ profiles: [] }); + } + } + + // GET /api/shots/recent -> flat recent-shot list. + if (pathname === "/api/shots/recent") { + try { + const { entries } = await loadVisibleHistory(platform); + const annotations = await getAnnotationSummaries(platform); + const shots = entries.map((e) => { + const shotDate = historyEntryDate(e); + const shotFilename = historyEntryFilename(e); + const metrics = historyMetrics(e); + const annotation = annotations[`${shotDate}/${shotFilename}`]; + return { + profile_name: historyProfileName(e), + profile_id: historyProfileId(e), + date: shotDate, + filename: shotFilename, + timestamp: e.time, + final_weight: metrics.final_weight, + total_time: metrics.total_time, + has_annotation: hasRecentShotAnnotation(annotation), + }; + }); + return jsonResponse({ shots }); + } catch { + return jsonResponse({ shots: [] }); + } + } + + // GET /api/shots/by-profile/{profile_name} -> shots for one profile (paged). + const byProfileMatch = pathname.match(BY_PROFILE_RE); + if (byProfileMatch) { + const profileName = decodeURIComponent(byProfileMatch[1]!); + const limit = safePositiveInt(url.searchParams.get("limit"), 20); + try { + const { entries } = await loadVisibleHistory(platform); + const filtered = entries + .filter((e) => historyProfileName(e) === profileName) + .sort((a, b) => (Number(b.time) || 0) - (Number(a.time) || 0)); + const shots = filtered.slice(0, limit).map((e) => { + const metrics = historyMetrics(e); + return { + date: historyEntryDate(e), + filename: historyEntryFilename(e), + timestamp: String(e.time), + profile_name: historyProfileName(e), + final_weight: metrics.final_weight, + total_time: metrics.total_time, + }; + }); + return jsonResponse({ profile_name: profileName, shots, count: shots.length, limit }); + } catch { + return jsonResponse({ profile_name: profileName, shots: [], count: 0, limit }); + } + } + + // GET /api/shots/data/{date}/{filename} -> full telemetry for one shot. + const dataMatch = pathname.match(DATA_RE); + if (dataMatch) { + const shotDate = decodeURIComponent(dataMatch[1]!); + const shotFilename = decodeURIComponent(dataMatch[2]!); + try { + const { entries } = await loadVisibleHistory(platform); + const entry = entries.find( + (e) => historyEntryDate(e) === shotDate && historyEntryFilename(e) === shotFilename, + ) as ShotDataEntry | undefined; + if (!entry) return jsonResponse({ detail: "Shot not found" }, 404); + + const points = entry.data ?? []; + const timeArr: number[] = []; + const pressureArr: number[] = []; + const flowArr: number[] = []; + const weightArr: number[] = []; + const gravFlowArr: number[] = []; + const temperatureArr: number[] = []; + const statusArr: string[] = []; + for (const pt of points) { + const status = String(pt.status ?? ""); + // During retraction, profile_time freezes -- use wall-clock time instead. + const isRetracting = status.toLowerCase() === "retracting"; + const timeMs = isRetracting + ? pt.time ?? pt.profile_time ?? 0 + : pt.profile_time ?? pt.time ?? 0; + timeArr.push(timeMs / 1000); + pressureArr.push(pt.shot?.pressure ?? 0); + flowArr.push(pt.shot?.flow ?? 0); + weightArr.push(pt.shot?.weight ?? 0); + gravFlowArr.push(pt.shot?.gravimetric_flow ?? 0); + temperatureArr.push(pt.sensors?.external_1 ?? 0); + statusArr.push(status); + } + const lastPt = points[points.length - 1]; + const shotData = { + date: shotDate, + filename: shotFilename, + data: { + profile: { + name: entry.profile?.name ?? entry.name ?? "Unknown", + author: entry.profile?.author, + temperature: entry.profile?.temperature, + final_weight: entry.profile?.final_weight, + stages: entry.profile?.stages?.map((s) => ({ name: s.name, type: s.type, key: s.key })), + }, + start_time: new Date(entry.time * 1000).toISOString(), + elapsed_time: lastPt ? (lastPt.time ?? lastPt.profile_time ?? 0) / 1000 : 0, + final_weight: lastPt?.shot?.weight ?? entry.profile?.final_weight ?? null, + data: { + time: timeArr, + pressure: pressureArr, + flow: flowArr, + weight: weightArr, + gravimetric_flow: gravFlowArr, + temperature: temperatureArr, + status: statusArr, + }, + }, + }; + return jsonResponse(shotData); + } catch { + return jsonResponse({ detail: "Failed to load shot data" }, 500); + } + } + + return null; +} diff --git a/packages/core/test/contract/shotsRead.test.ts b/packages/core/test/contract/shotsRead.test.ts new file mode 100644 index 00000000..f6fb54ed --- /dev/null +++ b/packages/core/test/contract/shotsRead.test.ts @@ -0,0 +1,155 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import type { Platform } from "../../src/platform"; + +const T = 1_700_000_000; // seconds + +const SHOTS = [ + { + id: "shot-a", + time: T, + file: "shot-a.shot", + profile: { + id: "p1", + name: "Turbo Bloom", + author: "Barista", + temperature: 93, + final_weight: 36, + stages: [{ name: "Preinfuse", type: "flow", key: "pi" }], + }, + data: [ + { status: "heating", profile_time: 0, shot: { pressure: 0, flow: 0, weight: 0 }, sensors: { external_1: 90 } }, + { status: "extracting", profile_time: 28000, shot: { pressure: 6, flow: 2.1, weight: 36, gravimetric_flow: 1.8 }, sensors: { external_1: 93 } }, + ], + }, + { + id: "shot-b", + time: T - 3600, + profile: { id: "p2", name: "Slow Ramp" }, + data: [{ time: 32000, shot: { weight: 40 } }], + }, +]; + +function machinePlatform(overrides: Partial = {}): Platform { + return makeMockPlatform({ + clock: () => T * 1000, + machine: scriptedMachine({ "/api/v1/history": SHOTS }), + ...overrides, + }); +} + +function get(path: string): Request { + return new Request(`http://x${path}`, { method: "GET" }); +} + +describe("shots-read: GET /api/last-shot", () => { + test("returns the most-recent normalized shot", async () => { + const body = await (await handle(get("/api/last-shot"), machinePlatform())).json(); + expect(body).toMatchObject({ + profile_name: "Turbo Bloom", + filename: "shot-a.shot", + timestamp: T, + final_weight: 36, + total_time: 28, + }); + }); + + test("404 when there are no shots", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/history": [] }) }); + const res = await handle(get("/api/last-shot"), p); + expect(res.status).toBe(404); + }); + + test("hidden shots are excluded", async () => { + const p = machinePlatform(); + await handle(new Request("http://x/api/history/shot-a", { method: "DELETE" }), p); + const body = await (await handle(get("/api/last-shot"), p)).json(); + expect(body.filename).toBe("shot-b.json"); + }); +}); + +describe("shots-read: GET /api/shots/dates", () => { + test("returns distinct dates, newest first", async () => { + const body = await (await handle(get("/api/shots/dates"), machinePlatform())).json(); + expect(Array.isArray(body.dates)).toBe(true); + expect(body.dates).toEqual([...body.dates].sort((a: string, b: string) => b.localeCompare(a))); + }); +}); + +describe("shots-read: GET /api/shots/recent", () => { + test("returns a flat list with annotation flags", async () => { + const body = await (await handle(get("/api/shots/recent"), machinePlatform())).json(); + expect(body.shots).toHaveLength(2); + expect(body.shots[0]).toMatchObject({ + profile_name: "Turbo Bloom", + profile_id: "p1", + filename: "shot-a.shot", + final_weight: 36, + total_time: 28, + has_annotation: false, + }); + }); + + test("reflects an existing annotation", async () => { + const p = machinePlatform(); + const date = new Date(T * 1000).toISOString().split("T")[0]; + await handle( + new Request(`http://x/api/shots/${date}/shot-a.shot/annotation`, { + method: "PATCH", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ rating: 4 }), + }), + p, + ); + const body = await (await handle(get("/api/shots/recent"), p)).json(); + const shotA = body.shots.find((s: { filename: string }) => s.filename === "shot-a.shot"); + expect(shotA.has_annotation).toBe(true); + }); +}); + +describe("shots-read: GET /api/shots/recent/by-profile", () => { + test("groups shots by profile name", async () => { + const body = await (await handle(get("/api/shots/recent/by-profile"), machinePlatform())).json(); + const names = body.profiles.map((p: { profile_name: string }) => p.profile_name).sort(); + expect(names).toEqual(["Slow Ramp", "Turbo Bloom"]); + const turbo = body.profiles.find((p: { profile_name: string }) => p.profile_name === "Turbo Bloom"); + expect(turbo.shot_count).toBe(1); + }); +}); + +describe("shots-read: GET /api/shots/by-profile/{name}", () => { + test("filters and pages by profile name", async () => { + const body = await (await handle(get("/api/shots/by-profile/Turbo%20Bloom?limit=5"), machinePlatform())).json(); + expect(body.profile_name).toBe("Turbo Bloom"); + expect(body.count).toBe(1); + expect(body.limit).toBe(5); + expect(body.shots[0]).toMatchObject({ filename: "shot-a.shot", final_weight: 36 }); + }); + + test("defaults the limit to 20", async () => { + const body = await (await handle(get("/api/shots/by-profile/Turbo%20Bloom"), machinePlatform())).json(); + expect(body.limit).toBe(20); + }); +}); + +describe("shots-read: GET /api/shots/data/{date}/{filename}", () => { + test("returns converted telemetry series", async () => { + const date = new Date(T * 1000).toISOString().split("T")[0]; + const res = await handle(get(`/api/shots/data/${date}/shot-a.shot`), machinePlatform()); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body.data.profile.name).toBe("Turbo Bloom"); + expect(body.data.data.time).toEqual([0, 28]); + expect(body.data.data.pressure).toEqual([0, 6]); + expect(body.data.data.weight).toEqual([0, 36]); + expect(body.data.data.gravimetric_flow).toEqual([0, 1.8]); + expect(body.data.data.temperature).toEqual([90, 93]); + expect(body.data.final_weight).toBe(36); + }); + + test("404 for an unknown shot", async () => { + const res = await handle(get("/api/shots/data/2000-01-01/nope.shot"), machinePlatform()); + expect(res.status).toBe(404); + }); +}); From ed58fc0b623b604e07899fdbd232280d463d4fca Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 6 Jul 2026 23:59:55 +0200 Subject: [PATCH 26/62] feat(core): port machine command + status routes into the core package Adds the machine actuation and status family to @metic/core with native semantics (mirrors DirectModeInterceptor + commands.py/system.py): - POST /api/machine/command/start | stop | load-profile - POST /api/machine/preheat - GET /api/machine/status/health (watcher /status on port 3000) - GET /api/machine/system-info - GET /api/machine/status (synthetic idle) - GET /api/machine/detect (501) - POST /api/machine/schedule-shot (501, no scheduler) Ports the pure watcher-response transform + size/uptime parsers into logic/watcher, reached through the machine seam which already passes absolute URLs through on both platforms. Live-verified through the Bun server against machine 192.168.50.168: status/health returns 7 live services + system metrics, status idle, detect 501; system-info degrades to null per key exactly as native does against this firmware. Actuation paths covered by contract tests to avoid dispensing on the live machine. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/handler.ts | 4 + packages/core/src/logic/watcher.ts | 108 ++++++++++++ packages/core/src/routes/machineCommands.ts | 158 ++++++++++++++++++ .../test/contract/machineCommands.test.ts | 124 ++++++++++++++ 4 files changed, 394 insertions(+) create mode 100644 packages/core/src/logic/watcher.ts create mode 100644 packages/core/src/routes/machineCommands.ts create mode 100644 packages/core/test/contract/machineCommands.test.ts diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 708e4aa3..bd940a43 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -11,6 +11,7 @@ import { handleAnalyzeAndProfileRoute } from "./routes/analyzeAndProfile"; import { handleSystemRoutes } from "./routes/system"; import { handleHistoryRoutes } from "./routes/history"; import { handleShotsReadRoutes } from "./routes/shotsRead"; +import { handleMachineCommandRoutes } from "./routes/machineCommands"; /** * The single shared request handler for the unified TS core. @@ -63,5 +64,8 @@ export async function handle(req: Request, platform: Platform): Promise, +): Record { + const rawServices = raw.services; + let services: { name: string; status: string; uptime: number | null }[] = []; + if (rawServices && typeof rawServices === "object" && !Array.isArray(rawServices)) { + services = Object.entries( + rawServices as Record, + ).map(([name, info]) => ({ + name, + status: info?.status ?? "unknown", + uptime: coerceServiceUptime(info?.uptime), + })); + } else if (Array.isArray(rawServices)) { + services = rawServices as typeof services; + } + + const mem = raw.memoryUsage as Record | undefined; + const discs = raw.discs as + | Array<{ mountpoint: string; usage: Record }> + | undefined; + const uptimeStr = typeof raw.uptime === "string" ? raw.uptime : ""; + + const memTotal = mem ? parseSizeToMB(mem.total ?? "") : 0; + const memUsed = mem ? parseSizeToMB(mem.used ?? "") : 0; + + let diskTotal = 0; + let diskUsed = 0; + if (Array.isArray(discs)) { + const rootDisc = discs.find((d) => d.mountpoint === "/"); + if (rootDisc?.usage) { + diskTotal = parseSizeToMB(rootDisc.usage.total ?? "") / 1024; // GB + diskUsed = parseSizeToMB(rootDisc.usage.used ?? "") / 1024; + } + } + + const uptimeSecs = uptimeStr ? parseUptimeToSeconds(uptimeStr) : null; + let system: Record | null = null; + if (memTotal || diskTotal || uptimeSecs) { + system = { + memory_total: memTotal ? Math.round(memTotal) : null, + memory_used: memUsed ? Math.round(memUsed) : null, + disk_total: diskTotal ? Math.round(diskTotal * 100) / 100 : null, + disk_used: diskUsed ? Math.round(diskUsed * 100) / 100 : null, + cpu_temperature: null, + uptime: uptimeSecs, + }; + } + + return { services, system }; +} + +/** Derive the watcher `/status` URL (port 3000) from the machine base URL. */ +export function watcherStatusUrl(machineBaseUrl: string): string | null { + try { + const parsed = new URL(machineBaseUrl); + parsed.port = "3000"; + return `${parsed.origin}/status`; + } catch { + return null; + } +} diff --git a/packages/core/src/routes/machineCommands.ts b/packages/core/src/routes/machineCommands.ts new file mode 100644 index 00000000..41f59bfd --- /dev/null +++ b/packages/core/src/routes/machineCommands.ts @@ -0,0 +1,158 @@ +/** + * Machine command + status route family (unified, native semantics). + * + * Actuation and status routes that the frontend calls on the espresso machine. + * Straight port of the direct-mode oracle + * (apps/web/src/services/interceptor/DirectModeInterceptor.ts), kept at parity + * with the server (apps/server/api/routes/commands.py + system.py). + * + * Routes: + * POST /api/machine/command/start -> GET /api/v1/action/start + * POST /api/machine/command/stop -> GET /api/v1/action/stop + * POST /api/machine/command/load-profile -> resolve name -> GET load/{id} + * POST /api/machine/preheat -> GET /api/v1/action/preheat + * GET /api/machine/status/health -> watcher /status (port 3000) + * GET /api/machine/system-info -> firmware/network/hostname + * GET /api/machine/status -> synthetic idle status + * GET /api/machine/detect -> 501 (not applicable) + * POST /api/machine/schedule-shot -> 501 (no scheduler) + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { transformWatcherResponse, watcherStatusUrl } from "../logic/watcher"; + +interface MachineProfileListEntry { + id?: string; + name?: string; + [key: string]: unknown; +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +async function loadMachineProfiles(platform: Platform): Promise { + const res = await platform.machine.fetch("/api/v1/profile/list"); + if (!res.ok) return []; + const raw: unknown = await res.json(); + if (Array.isArray(raw)) return raw as MachineProfileListEntry[]; + if (isRecord(raw) && Array.isArray(raw.profiles)) return raw.profiles as MachineProfileListEntry[]; + return []; +} + +async function actionOk(platform: Platform, path: string): Promise { + try { + const res = await platform.machine.fetch(path); + return res.ok; + } catch { + return false; + } +} + +export async function handleMachineCommandRoutes( + req: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const method = req.method; + + // POST /api/machine/command/start + if (pathname === "/api/machine/command/start" && method === "POST") { + const ok = await actionOk(platform, "/api/v1/action/start"); + return jsonResponse({ success: ok }, ok ? 200 : 502); + } + + // POST /api/machine/command/stop + if (pathname === "/api/machine/command/stop" && method === "POST") { + const ok = await actionOk(platform, "/api/v1/action/stop"); + return jsonResponse({ success: ok }, ok ? 200 : 502); + } + + // POST /api/machine/command/load-profile + if (pathname === "/api/machine/command/load-profile" && method === "POST") { + try { + const body = (await req.json().catch(() => ({}))) as { name?: string }; + if (!body.name) { + return jsonResponse({ success: false, message: "No profile name" }, 400); + } + const profiles = await loadMachineProfiles(platform); + const match = profiles.find((p) => p.name === body.name); + if (!match?.id) { + return jsonResponse({ success: false, message: "Profile not found" }, 404); + } + const ok = await actionOk(platform, `/api/v1/profile/load/${match.id}`); + return jsonResponse({ success: ok }, ok ? 200 : 502); + } catch { + return jsonResponse({ success: false }, 502); + } + } + + // POST /api/machine/preheat + if (pathname === "/api/machine/preheat" && method === "POST") { + const ok = await actionOk(platform, "/api/v1/action/preheat"); + return ok + ? jsonResponse({ status: "success", message: "Preheat started" }) + : jsonResponse({ status: "error", detail: "Preheat failed" }, 502); + } + + // POST /api/machine/schedule-shot -> not supported without a scheduler + if (pathname === "/api/machine/schedule-shot" && method === "POST") { + return jsonResponse( + { + status: "error", + detail: + "Scheduled shots are not supported in direct mode. Use the machine UI or MeticAI Docker mode.", + }, + 501, + ); + } + + // GET /api/machine/detect -> not applicable + if (pathname === "/api/machine/detect" && method === "GET") { + return jsonResponse({ detail: "Machine detection not available in direct mode" }, 501); + } + + // GET /api/machine/status/health -> watcher service (port 3000) + if (pathname === "/api/machine/status/health" && method === "GET") { + const fallback = { error: "Watcher service unavailable", services: [], system: null }; + try { + const watcherUrl = watcherStatusUrl(platform.machine.getBaseUrl()); + if (!watcherUrl) return jsonResponse(fallback); + const resp = await platform.machine.fetch(watcherUrl, { + signal: AbortSignal.timeout(5000), + }); + if (!resp.ok) return jsonResponse(fallback); + const data = (await resp.json()) as Record; + return jsonResponse(transformWatcherResponse(data)); + } catch { + return jsonResponse(fallback); + } + } + + // GET /api/machine/system-info -> aggregate firmware/network/hostname + if (pathname === "/api/machine/system-info" && method === "GET") { + const info: Record = {}; + const endpoints: Array<[string, string]> = [ + ["firmware", "/api/v1/system/firmware"], + ["network", "/api/v1/wifi/status"], + ["hostname", "/api/v1/wifi/hostname"], + ]; + for (const [key, path] of endpoints) { + try { + const resp = await platform.machine.fetch(path); + info[key] = resp.ok ? await resp.json() : null; + } catch { + info[key] = null; + } + } + return jsonResponse(info); + } + + // GET /api/machine/status -> synthetic (live state comes over the telemetry socket) + if (pathname === "/api/machine/status" && method === "GET") { + return jsonResponse({ machine_status: { state: "idle" }, scheduled_shots: [] }); + } + + return null; +} diff --git a/packages/core/test/contract/machineCommands.test.ts b/packages/core/test/contract/machineCommands.test.ts new file mode 100644 index 00000000..97dd5dde --- /dev/null +++ b/packages/core/test/contract/machineCommands.test.ts @@ -0,0 +1,124 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import { handle } from "../../src/handler"; + +function post(path: string, body?: unknown): Request { + return new Request(`http://x${path}`, { + method: "POST", + ...(body !== undefined + ? { headers: { "content-type": "application/json" }, body: JSON.stringify(body) } + : {}), + }); +} + +function get(path: string): Request { + return new Request(`http://x${path}`, { method: "GET" }); +} + +describe("machine-commands: actuation", () => { + test("start succeeds when the machine action is OK", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/action/start": {} }) }); + const res = await handle(post("/api/machine/command/start"), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ success: true }); + }); + + test("stop returns 502 when the machine is unreachable", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(post("/api/machine/command/stop"), p); + expect(res.status).toBe(502); + expect(await res.json()).toEqual({ success: false }); + }); + + test("preheat returns a success envelope", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/action/preheat": {} }) }); + const res = await handle(post("/api/machine/preheat"), p); + expect(await res.json()).toEqual({ status: "success", message: "Preheat started" }); + }); +}); + +describe("machine-commands: load-profile", () => { + test("resolves the profile name to an id and loads it", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [{ id: "abc", name: "Turbo Bloom" }], + "/api/v1/profile/load/abc": {}, + }), + }); + const res = await handle(post("/api/machine/command/load-profile", { name: "Turbo Bloom" }), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ success: true }); + }); + + test("400 when no name is given", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(post("/api/machine/command/load-profile", {}), p); + expect(res.status).toBe(400); + }); + + test("404 when the profile name is unknown", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/list": [{ id: "abc", name: "Other" }] }), + }); + const res = await handle(post("/api/machine/command/load-profile", { name: "Missing" }), p); + expect(res.status).toBe(404); + }); +}); + +describe("machine-commands: status + info", () => { + test("detect is not applicable (501)", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(get("/api/machine/detect"), p); + expect(res.status).toBe(501); + }); + + test("schedule-shot is unsupported (501)", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(post("/api/machine/schedule-shot"), p); + expect(res.status).toBe(501); + }); + + test("status returns a synthetic idle envelope", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(get("/api/machine/status"), p); + expect(await res.json()).toEqual({ machine_status: { state: "idle" }, scheduled_shots: [] }); + }); + + test("system-info aggregates the three machine endpoints", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/system/firmware": { version: "1.2.3" }, + "/api/v1/wifi/status": { connected: true }, + // hostname endpoint intentionally omitted -> null + }), + }); + const body = await (await handle(get("/api/machine/system-info"), p)).json(); + expect(body.firmware).toEqual({ version: "1.2.3" }); + expect(body.network).toEqual({ connected: true }); + expect(body.hostname).toBeNull(); + }); + + test("status/health transforms the watcher payload", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/status": { + services: { web: { status: "running", uptime: "0 hours 41 minutes" } }, + memoryUsage: { total: "2 GB", used: "1 GB" }, + discs: [{ mountpoint: "/", usage: { total: "20 GB", used: "5 GB" } }], + uptime: "1 days 2 hours", + }, + }), + }); + const body = await (await handle(get("/api/machine/status/health"), p)).json(); + expect(body.services).toEqual([{ name: "web", status: "running", uptime: 41 * 60 }]); + expect(body.system.memory_total).toBe(2048); + expect(body.system.disk_total).toBe(20); + expect(body.system.uptime).toBe(86400 + 2 * 3600); + }); + + test("status/health degrades gracefully when the watcher is down", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(get("/api/machine/status/health"), p)).json(); + expect(body).toEqual({ error: "Watcher service unavailable", services: [], system: null }); + }); +}); From c2938a140aaac4397d72697ce3316c85a3008085 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 00:18:14 +0200 Subject: [PATCH 27/62] feat(core): port profiles-crud route family to @metic/core Port the machine profile CRUD + actuation family (run-profile, run-with-overrides, import, import-all, convert-decent, import-from-url, order, load, rename, delete, machine/profiles list, profile/{id}/json, orphaned, target-curves, edit, profile/{name} GET, sync/status, sync) into @metic/core against the Platform seam, mirroring the native DirectModeInterceptor oracle. Adds logic/targetCurves.ts and logic/profileList.ts. 34 contract tests; live-verified against machine 192.168.50.168 (36 profiles, stages, target-curves, rename + edit round-trips). Fix a latent parity bug in BOTH runtimes: /target-curves resolved the profile from the machine profile list, which omits stages, so it returned an empty curve set for saved (non-override) profiles. Both runtimes now fetch the full profile by id when the list entry lacks stages, matching the include_stages fallback. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../interceptor/DirectModeInterceptor.test.ts | 55 ++ .../interceptor/DirectModeInterceptor.ts | 13 +- packages/core/src/handler.ts | 4 + packages/core/src/logic/profileList.ts | 88 +++ packages/core/src/logic/targetCurves.ts | 149 ++++ packages/core/src/routes/profilesCrud.ts | 672 ++++++++++++++++++ .../core/test/contract/profilesCrud.test.ts | 428 +++++++++++ 7 files changed, 1408 insertions(+), 1 deletion(-) create mode 100644 packages/core/src/logic/profileList.ts create mode 100644 packages/core/src/logic/targetCurves.ts create mode 100644 packages/core/src/routes/profilesCrud.ts create mode 100644 packages/core/test/contract/profilesCrud.test.ts diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts index e0378330..d371b029 100644 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts +++ b/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts @@ -1492,6 +1492,61 @@ describe('DirectModeInterceptor regression harness', () => { ) }) + it('fetches full stages by id for target-curves when the profile list omits them', async () => { + // Real machines return profile/list entries without stages, so the + // target-curves overlay must fall back to the get-by-id endpoint rather + // than returning an empty curve set. + const listWithoutStages = [ + { + change_id: 'change-1', + profile: { + id: 'profile-1', + name: 'Turbo Bloom', + author: 'MeticAI', + author_id: 'author-1', + previous_authors: [], + display: { description: 'Bright fruit profile' }, + temperature: 93, + final_weight: 36, + variables: [], + stages: [], + }, + }, + ] as unknown as ProfileIdent[] + + const fullProfile = { + id: 'profile-1', + name: 'Turbo Bloom', + temperature: 93, + final_weight: 36, + variables: [], + stages: [ + { + name: 'Bloom', + type: 'flow', + key: 'flow_bloom', + dynamics: { points: [[0, 2.1]], over: 'time', interpolation: 'linear' }, + exit_triggers: [{ type: 'time', value: 10 }], + limits: [], + }, + ], + } + + installInterceptor(createMachineFetch({ + 'GET /api/v1/profile/list': listWithoutStages, + 'GET /api/v1/profile/get/profile-1': fullProfile, + })) + + const response = await window.fetch('/api/profile/Turbo%20Bloom/target-curves') + expect(response.status).toBe(200) + const body = await readJson<{ status: string; target_curves: Array> }>(response) + expect(body.status).toBe('success') + expect(body.target_curves.length).toBeGreaterThan(0) + expect(body.target_curves).toEqual( + expect.arrayContaining([expect.objectContaining({ stage_name: 'Bloom', target_flow: 2.1 })]), + ) + }) + it('renders a short dynamics ramp over real time instead of compressing it to instant (#483)', async () => { const rampProfile = [ { diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.ts index 0404c603..1d1c2a78 100644 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.ts +++ b/apps/web/src/services/interceptor/DirectModeInterceptor.ts @@ -2679,11 +2679,22 @@ export function installDirectModeInterceptor(): void { const name = decodeURIComponent(targetCurvesMatch[1]) // Prefer the active override profile so the live graph reflects the // temporary variables actually being brewed. - const profile = + let profile = _activeOverrideProfile && _activeOverrideProfile.name === name ? _activeOverrideProfile.profile : await _findProfileByName(name) if (!profile) return jsonResponse({ detail: `Profile '${name}' not found` }, 404) + // The machine's profile list omits stages; fetch the full profile so the + // estimated curves are non-empty (the active override already has stages). + if (!Array.isArray(profile.stages) || profile.stages.length === 0) { + try { + const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) + if (fullResp.ok) { + const full = await fullResp.json() as CachedProfile + if (Array.isArray(full?.stages)) profile = full + } + } catch { /* fall back to the cached profile */ } + } return jsonResponse({ status: 'success', target_curves: generateEstimatedTargetCurves(profile), diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index bd940a43..acd947bf 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -12,6 +12,7 @@ import { handleSystemRoutes } from "./routes/system"; import { handleHistoryRoutes } from "./routes/history"; import { handleShotsReadRoutes } from "./routes/shotsRead"; import { handleMachineCommandRoutes } from "./routes/machineCommands"; +import { handleProfilesCrudRoutes } from "./routes/profilesCrud"; /** * The single shared request handler for the unified TS core. @@ -67,5 +68,8 @@ export async function handle(req: Request, platform: Platform): Promise { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +/** Coerce a raw list entry (possibly wrapped in `{ profile }`) into a MachineProfile. */ +export function normalizeProfileIdent(value: unknown): MachineProfile | null { + if (!isRecord(value)) return null; + const nestedProfile = isRecord(value.profile) ? value.profile : value; + const id = nestedProfile.id; + const name = nestedProfile.name; + if (typeof id !== "string" || typeof name !== "string") return null; + const normalized: MachineProfile = { ...nestedProfile, id, name }; + if (typeof value.change_id === "string") normalized.change_id = value.change_id; + return normalized; +} + +/** Strip cache-only metadata that the machine's profile schema rejects on save. */ +export function stripProfileMetadata(profile: Record): Record { + const machineProfile: Record = { ...profile }; + delete machineProfile.change_id; + delete machineProfile.in_history; + delete machineProfile.has_description; + return machineProfile; +} + +/** Resolve the profile image path, preferring the display image. */ +export function profileImagePath(profile: MachineProfile): string | undefined { + if (typeof profile.display?.image === "string" && profile.display.image.trim()) { + return profile.display.image; + } + if (typeof profile.image === "string" && profile.image.trim()) { + return profile.image; + } + return undefined; +} + +/** + * Normalise a raw machine profile list into the catalogue result. `aiTagsFor` + * supplies the per-profile AI sensory tags (empty array when none). + */ +export function buildProfileListResult( + raw: unknown[], + aiTagsFor: (name: string) => string[], +): { profiles: MachineProfile[] } { + const profiles = raw + .map(normalizeProfileIdent) + .filter((profile): profile is MachineProfile => profile !== null); + return { + profiles: profiles.map((p) => ({ + ...p, + in_history: true, + has_description: !!(p.display?.description || p.display?.shortDescription), + derived_tags: deriveStructuralTags(p as unknown as AnalyzableProfile), + ai_tags: aiTagsFor(p.name), + })), + }; +} diff --git a/packages/core/src/logic/targetCurves.ts b/packages/core/src/logic/targetCurves.ts new file mode 100644 index 00000000..88069a59 --- /dev/null +++ b/packages/core/src/logic/targetCurves.ts @@ -0,0 +1,149 @@ +/** + * Estimated target-curve generation (pure, host-free). + * + * Builds the target pressure/flow/power curve the machine intends to follow for + * a profile, used by the live graph and the pre-shot breakdown. Ported verbatim + * from apps/web/src/services/interceptor/DirectModeInterceptor.ts so both + * runtimes produce identical curves. + */ + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function safeNumber(value: unknown, fallback = 0): number { + const n = typeof value === "number" ? value : Number(value); + return Number.isFinite(n) ? n : fallback; +} + +/** A profile shape with the stage/variable fields the curve generator reads. */ +export interface CurveProfile { + stages?: unknown[]; + variables?: unknown[]; +} + +function resolveProfileValue(value: unknown, variables: Array>): number { + if (typeof value === "string" && value.startsWith("$")) { + const key = value.slice(1); + const variable = variables.find((item) => item.key === key || item.name === key); + return safeNumber(variable?.value); + } + return safeNumber(value); +} + +function buildTimeBasedCurvePoints( + points: unknown[], + variables: Array>, + stageName: string, + key: string, + stageStart: number, + stageEnd: number, +): Array> { + const stageDuration = stageEnd - stageStart; + const result: Array> = []; + let prevT: number | null = null; + let prevV: number | null = null; + let lastT: number | null = null; + let lastV: number | null = null; + + for (const point of points) { + if (!Array.isArray(point)) continue; + const dpT = safeNumber(point[0]); + const dpV = resolveProfileValue(point[1] ?? point[0], variables); + + if (dpT > stageDuration) { + let boundaryV = dpV; + if (prevT !== null && prevV !== null && dpT > prevT) { + const frac = (stageDuration - prevT) / (dpT - prevT); + boundaryV = prevV + (dpV - prevV) * frac; + } + result.push({ + time: Number(stageEnd.toFixed(2)), + stage_name: stageName, + [key]: Math.round(boundaryV * 10) / 10, + }); + return result; + } + + result.push({ + time: Number((stageStart + dpT).toFixed(2)), + stage_name: stageName, + [key]: Math.round(dpV * 10) / 10, + }); + prevT = dpT; + prevV = dpV; + lastT = dpT; + lastV = dpV; + } + + if (lastT !== null && lastV !== null && lastT < stageDuration - 1e-6) { + result.push({ + time: Number(stageEnd.toFixed(2)), + stage_name: stageName, + [key]: Math.round(lastV * 10) / 10, + }); + } + + return result; +} + +export function generateEstimatedTargetCurves( + profile: CurveProfile, +): Array> { + const stages = (profile.stages ?? []) as Array>; + const variables = (profile.variables ?? []) as Array>; + const defaultStageDuration = 10; + const weightStageMaxEstimate = 15; + const durations = stages.map((stage) => { + const triggers = Array.isArray(stage.exit_triggers) ? stage.exit_triggers : []; + let timeTrigger: number | null = null; + let hasWeightTrigger = false; + for (const trigger of triggers) { + if (!isRecord(trigger)) continue; + if (trigger.type === "time") + timeTrigger = resolveProfileValue(trigger.value, variables) || defaultStageDuration; + if (trigger.type === "weight") hasWeightTrigger = true; + } + if (timeTrigger === null) return defaultStageDuration; + return hasWeightTrigger ? Math.min(timeTrigger, weightStageMaxEstimate) : timeTrigger; + }); + + const curves: Array> = []; + let runningTime = 0; + stages.forEach((stage, index) => { + const stageName = typeof stage.name === "string" ? stage.name : `Stage ${index + 1}`; + const stageType = typeof stage.type === "string" ? stage.type : "flow"; + const duration = durations[index] ?? defaultStageDuration; + const dynamics = isRecord(stage.dynamics) ? stage.dynamics : {}; + const points = Array.isArray(stage.dynamics_points) + ? stage.dynamics_points + : Array.isArray(dynamics.points) + ? dynamics.points + : []; + if (points.length === 0) { + runningTime += duration; + return; + } + const key = + stageType === "pressure" + ? "target_pressure" + : stageType === "power" + ? "target_power" + : "target_flow"; + const stageStart = runningTime; + const stageEnd = runningTime + duration; + if (points.length === 1 && Array.isArray(points[0])) { + const value = resolveProfileValue(points[0][1] ?? points[0][0], variables); + curves.push( + { time: Number(stageStart.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, + { time: Number(stageEnd.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, + ); + } else { + curves.push( + ...buildTimeBasedCurvePoints(points, variables, stageName, key, stageStart, stageEnd), + ); + } + runningTime = stageEnd; + }); + return curves.sort((a, b) => safeNumber(a.time) - safeNumber(b.time)); +} diff --git a/packages/core/src/routes/profilesCrud.ts b/packages/core/src/routes/profilesCrud.ts new file mode 100644 index 00000000..d0567491 --- /dev/null +++ b/packages/core/src/routes/profilesCrud.ts @@ -0,0 +1,672 @@ +/** + * Machine profile CRUD + actuation route family (unified, native semantics). + * + * Straight port of the direct-mode oracle + * (apps/web/src/services/interceptor/DirectModeInterceptor.ts), kept at parity + * with the server (apps/server/api/routes/profiles.py). Profiles live on the + * machine; these routes read, edit, import, reorder, delete, run, and describe + * them through the machine seam. AI descriptions/tags overlay through the + * Platform storage. + * + * Routes: + * POST /api/machine/run-profile/{id} + * POST /api/machine/run-profile-with-overrides/{id} + * POST /api/profile/import + * POST /api/profile/import-all + * POST /api/convert-decent + * POST /api/import-from-url + * POST /api/machine/profiles/order + * POST /api/machine/profile/load + * PATCH /api/machine/profile/{id} (rename) + * DELETE /api/machine/profile/{id} + * GET /api/machine/profiles + * GET /api/machine/profiles/orphaned + * GET /api/machine/profile/{id}/json + * GET /api/profile/{name}/target-curves + * PUT /api/profile/{name}/edit + * GET /api/profile/{name} + * GET /api/profiles/sync/status + * POST /api/profiles/sync + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; +import { detectDecentFormat, convertDecentToMeticulous } from "../logic/decentConverter"; +import { buildStaticProfileDescription } from "../logic/profileDescription"; +import { generateEstimatedTargetCurves } from "../logic/targetCurves"; +import { + type MachineProfile, + buildProfileListResult, + normalizeProfileIdent, + profileImagePath, + stripProfileMetadata, +} from "../logic/profileList"; + +/** + * The currently-running ephemeral override profile, so the live view's target + * curves reflect the temporary variables actually being brewed rather than the + * saved profile. Mirrors the native module-level `_activeOverrideProfile`. + */ +let activeOverrideProfile: { name: string; profile: MachineProfile } | null = null; + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function sleep(ms: number): Promise { + return new Promise((resolve) => setTimeout(resolve, ms)); +} + +async function machineOk(platform: Platform, path: string, init?: RequestInit): Promise { + try { + return (await platform.machine.fetch(path, init)).ok; + } catch { + return false; + } +} + +async function loadProfileList(platform: Platform): Promise { + const res = await platform.machine.fetch("/api/v1/profile/list"); + if (!res.ok) return []; + const raw: unknown = await res.json(); + const list = Array.isArray(raw) ? raw : isRecord(raw) && Array.isArray(raw.profiles) ? raw.profiles : []; + return list + .map(normalizeProfileIdent) + .filter((p): p is MachineProfile => p !== null); +} + +async function findProfileByName(platform: Platform, name: string): Promise { + const profiles = await loadProfileList(platform); + return profiles.find((p) => p.name === name) ?? null; +} + +async function aiTagsFor(platform: Platform, name: string): Promise { + const tags = await platform.storage.aiTags.read(name); + return Array.isArray(tags) ? tags : []; +} + +function applyOverrides( + profile: Record, + overrides: Record, +): Record { + const modified = JSON.parse(JSON.stringify(profile)) as Record; + if (!Object.keys(overrides).length) return modified; + const topLevelKeys = new Set(["final_weight", "temperature"]); + const variables = modified.variables as Array> | undefined; + if (variables) { + const adjustableKeys = new Set( + variables + .filter((v) => typeof v.key === "string" && !(v.key as string).startsWith("info_")) + .map((v) => v.key as string), + ); + for (const [key, value] of Object.entries(overrides)) { + if (!adjustableKeys.has(key) && !topLevelKeys.has(key)) continue; + if (adjustableKeys.has(key)) { + for (const v of variables) { + if (v.key === key) { + v.value = value; + break; + } + } + } + } + } + for (const key of ["final_weight", "temperature"]) { + if (key in overrides) modified[key] = overrides[key]; + } + return modified; +} + +export async function handleProfilesCrudRoutes( + req: Request, + platform: Platform, +): Promise { + const url = new URL(req.url); + const { pathname } = url; + const method = req.method; + + // POST /api/machine/run-profile/{id} + const runMatch = pathname.match(/^\/api\/machine\/run-profile\/([^/?]+)$/); + if (runMatch && method === "POST") { + const profileId = decodeURIComponent(runMatch[1]!); + activeOverrideProfile = null; + let loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profileId}`); + if (!loadResp.ok) { + await platform.machine.fetch("/api/v1/action/stop"); + for (let attempt = 0; attempt < 10; attempt++) { + await sleep(2000); + loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profileId}`); + if (loadResp.ok) break; + const body = (await loadResp.json().catch(() => ({}))) as { error?: string }; + if (body.error !== "machine is busy") { + return jsonResponse({ status: "error", detail: body.error || "Load failed" }, 502); + } + } + if (!loadResp.ok) { + return jsonResponse({ status: "error", detail: "Machine busy — try again" }, 409); + } + } + const started = await machineOk(platform, "/api/v1/action/start"); + return started + ? jsonResponse({ status: "success", message: "Profile started" }) + : jsonResponse({ status: "error", detail: "Failed to start" }, 502); + } + + // POST /api/machine/run-profile-with-overrides/{id} + const runOverridesMatch = pathname.match( + /^\/api\/machine\/run-profile-with-overrides\/([^/?]+)$/, + ); + if (runOverridesMatch && method === "POST") { + const profileId = decodeURIComponent(runOverridesMatch[1]!); + try { + const formData = await req.formData(); + const overridesRaw = formData.get("overrides_json"); + const saveMode = String(formData.get("save_mode") ?? "") || "none"; + const newName = String(formData.get("new_name") ?? "") || ""; + + let overridesDict: Record; + try { + overridesDict = overridesRaw ? JSON.parse(String(overridesRaw)) : {}; + } catch { + return jsonResponse({ detail: "Invalid overrides JSON" }, 422); + } + if (!["none", "save_original", "save_new"].includes(saveMode)) { + return jsonResponse({ detail: `Invalid save_mode: ${saveMode}` }, 422); + } + if (saveMode === "save_new" && !newName.trim()) { + return jsonResponse({ detail: "new_name is required when save_mode is save_new" }, 422); + } + const infoKeys = Object.keys(overridesDict).filter((k) => k.startsWith("info_")); + if (infoKeys.length > 0) { + return jsonResponse({ detail: `Cannot override info variables: ${infoKeys.join(", ")}` }, 422); + } + + const profileResp = await platform.machine.fetch(`/api/v1/profile/get/${profileId}`); + if (!profileResp.ok) { + return jsonResponse({ detail: `Profile ${profileId} not found` }, 404); + } + const profileData = (await profileResp.json()) as Record; + const originalName = (profileData.name as string) || "Unknown Profile"; + const hasOverrides = Object.keys(overridesDict).length > 0; + + if (saveMode === "save_new" && hasOverrides) { + const newProfile = applyOverrides(profileData, overridesDict); + delete newProfile.id; + newProfile.name = newName.trim(); + const saveOk = await machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(newProfile), + }); + if (!saveOk) return jsonResponse({ detail: "Failed to save new profile" }, 502); + } + + if (hasOverrides) { + const modified = applyOverrides(profileData, overridesDict); + if (saveMode === "save_new") { + modified.name = newName.trim(); + delete modified.id; + } + activeOverrideProfile = { + name: (modified.name as string) || originalName, + profile: modified as unknown as MachineProfile, + }; + const loadOk = await machineOk(platform, "/api/v1/profile/load", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(modified), + }); + if (!loadOk) return jsonResponse({ detail: "Failed to load modified profile" }, 502); + } else { + activeOverrideProfile = null; + let loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profileId}`); + if (!loadResp.ok) { + await platform.machine.fetch("/api/v1/action/stop"); + for (let attempt = 0; attempt < 10; attempt++) { + await sleep(2000); + loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profileId}`); + if (loadResp.ok) break; + } + if (!loadResp.ok) return jsonResponse({ detail: "Machine busy — try again" }, 409); + } + } + + const started = await machineOk(platform, "/api/v1/action/start"); + if (!started) return jsonResponse({ detail: "Failed to start profile" }, 502); + + if (saveMode === "save_original" && hasOverrides) { + const saved = applyOverrides(profileData, overridesDict); + saved.id = profileId; + saved.name = originalName; + void machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(saved), + }); + } + + return jsonResponse({ + status: "success", + message: hasOverrides ? "Profile started with overrides" : "Profile started", + profile_id: profileId, + profile_name: saveMode === "save_new" ? newName.trim() : originalName, + overrides_applied: Object.keys(overridesDict).length, + save_mode: saveMode, + }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to run profile with overrides" }, + 500, + ); + } + } + + // POST /api/profile/import + if (pathname === "/api/profile/import" && method === "POST") { + try { + const body = (await req.json().catch(() => ({}))) as { + profile?: Record; + source?: string; + }; + const profileName = (body.profile as { name?: string })?.name || "Unknown"; + if (body.source === "file" && body.profile) { + const saveOk = await machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(body.profile), + }); + if (!saveOk) { + return jsonResponse({ status: "error", detail: "Failed to save profile to machine" }, 502); + } + } + return jsonResponse({ + status: "success", + entry_id: "direct-" + platform.clock(), + profile_name: profileName, + has_description: false, + uploaded_to_machine: true, + }); + } catch { + return jsonResponse({ status: "error", detail: "Import failed" }, 500); + } + } + + // POST /api/profile/import-all + if (pathname === "/api/profile/import-all" && method === "POST") { + return jsonResponse({ + status: "success", + imported: 0, + skipped: 0, + message: "All profiles already on machine", + }); + } + + // POST /api/convert-decent + if (pathname === "/api/convert-decent" && method === "POST") { + try { + const body = await req.json().catch(() => ({})); + if (!detectDecentFormat(body)) { + return jsonResponse({ detail: "Not a valid Decent Espresso profile format" }, 400); + } + return jsonResponse(convertDecentToMeticulous(body)); + } catch { + return jsonResponse({ detail: "Decent profile conversion failed" }, 500); + } + } + + // POST /api/import-from-url + if (pathname === "/api/import-from-url" && method === "POST") { + try { + const body = (await req.json().catch(() => ({}))) as { url?: string }; + const profileUrl = body.url?.trim(); + if (!profileUrl) return jsonResponse({ status: "error", detail: "No URL provided" }, 400); + let profileResp: Response; + try { + profileResp = await platform.machine.fetch(profileUrl); + } catch { + return jsonResponse({ status: "error", detail: "Failed to fetch URL" }, 502); + } + let profileJson: Record; + try { + profileJson = (await profileResp.json()) as Record; + } catch { + return jsonResponse({ status: "error", detail: "URL did not return valid JSON" }, 400); + } + let convertedFromDecent = false; + if (detectDecentFormat(profileJson)) { + const result = convertDecentToMeticulous(profileJson); + profileJson = result.profile as unknown as Record; + convertedFromDecent = true; + } + if (typeof profileJson.name !== "string" || !profileJson.name) { + return jsonResponse({ status: "error", detail: "Profile is missing a 'name' field" }, 400); + } + const saveOk = await machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(profileJson), + }); + if (!saveOk) { + return jsonResponse({ status: "error", detail: "Failed to save profile to machine" }, 502); + } + return jsonResponse({ + status: "success", + entry_id: "direct-" + platform.clock(), + profile_name: profileJson.name, + has_description: false, + uploaded_to_machine: true, + converted_from_decent: convertedFromDecent, + }); + } catch { + return jsonResponse({ status: "error", detail: "Import from URL failed" }, 500); + } + } + + // POST /api/machine/profiles/order + if (pathname === "/api/machine/profiles/order" && method === "POST") { + try { + const { order } = (await req.json().catch(() => ({}))) as { order?: unknown }; + if ( + !Array.isArray(order) || + order.length === 0 || + !order.every((id) => typeof id === "string" && id) + ) { + return jsonResponse( + { status: "error", error: "order must be a non-empty list of profile IDs" }, + 400, + ); + } + const resp = await platform.machine.fetch("/api/v1/settings", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ profile_order: order }), + }); + if (!resp.ok) { + return jsonResponse( + { status: "error", error: `Machine rejected order (HTTP ${resp.status})` }, + 502, + ); + } + return jsonResponse({ status: "success", order }); + } catch (err) { + return jsonResponse( + { status: "error", error: err instanceof Error ? err.message : "Failed to reorder profiles" }, + 500, + ); + } + } + + // GET /api/machine/profiles/orphaned + if (pathname === "/api/machine/profiles/orphaned" && method === "GET") { + return jsonResponse({ orphaned: [] }); + } + + // GET /api/machine/profiles + if (pathname === "/api/machine/profiles" && method === "GET") { + try { + const res = await platform.machine.fetch("/api/v1/profile/list"); + if (!res.ok) return jsonResponse({ profiles: [] }); + const raw: unknown = await res.json(); + const result = buildProfileListResult(Array.isArray(raw) ? raw : [], () => []); + // ai_tags come from the overlay, keyed by profile name. + result.profiles = await Promise.all( + result.profiles.map(async (p) => ({ ...p, ai_tags: await aiTagsFor(platform, p.name) })), + ); + return jsonResponse(result); + } catch { + return jsonResponse({ profiles: [] }); + } + } + + // POST /api/machine/profile/load + if (pathname === "/api/machine/profile/load" && method === "POST") { + try { + const { profile_id } = (await req.json().catch(() => ({}))) as { profile_id?: string }; + if (!profile_id) return jsonResponse({ success: false, message: "No profile_id" }, 400); + let loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profile_id}`); + if (!loadResp.ok) { + await platform.machine.fetch("/api/v1/action/stop"); + await sleep(2000); + loadResp = await platform.machine.fetch(`/api/v1/profile/load/${profile_id}`); + } + if (!loadResp.ok) return jsonResponse({ success: false }, 502); + return jsonResponse({ success: true }); + } catch { + return jsonResponse({ success: false }, 500); + } + } + + // GET /api/machine/profile/{id}/json + const profileJsonMatch = pathname.match(/^\/api\/machine\/profile\/([^/]+)\/json$/); + if (profileJsonMatch && method === "GET") { + try { + const r = await platform.machine.fetch(`/api/v1/profile/get/${profileJsonMatch[1]}`); + if (!r.ok) return jsonResponse({}); + return jsonResponse({ profile: await r.json() }); + } catch { + return jsonResponse({}); + } + } + + // PATCH /api/machine/profile/{id} -> rename + const idMatch = pathname.match(/^\/api\/machine\/profile\/([^/?]+)$/); + if (idMatch && method === "PATCH") { + const profileId = decodeURIComponent(idMatch[1]!); + try { + let body: { name?: unknown }; + try { + body = (await req.json()) as { name?: unknown }; + } catch { + return jsonResponse({ detail: "Invalid profile update body" }, 400); + } + const newName = typeof body.name === "string" ? body.name.trim() : ""; + if (!newName) { + return jsonResponse( + { detail: "At least one field to update is required (e.g., 'name')" }, + 400, + ); + } + const profileResp = await platform.machine.fetch( + `/api/v1/profile/get/${encodeURIComponent(profileId)}`, + ); + if (!profileResp.ok) return jsonResponse({ detail: `Profile not found: ${profileId}` }, 404); + const profileJson = (await profileResp.json()) as Record; + const oldName = + typeof profileJson.name === "string" && profileJson.name ? profileJson.name : profileId; + const updatedProfile = { ...profileJson, name: newName }; + const saveOk = await machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(updatedProfile), + }); + if (!saveOk) return jsonResponse({ detail: "Failed to save profile to machine" }, 502); + return jsonResponse({ + status: "success", + message: `Profile renamed from '${oldName}' to '${newName}'`, + profile_id: profileId, + old_name: oldName, + new_name: newName, + }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to rename profile" }, + 500, + ); + } + } + + // DELETE /api/machine/profile/{id} + if (idMatch && method === "DELETE") { + const ok = await machineOk(platform, `/api/v1/profile/delete/${idMatch[1]}`, { + method: "DELETE", + }); + return jsonResponse({ success: ok }, ok ? 200 : 502); + } + + // GET /api/profile/{name}/target-curves + const targetCurvesMatch = pathname.match(/^\/api\/profile\/([^/]+)\/target-curves$/); + if (targetCurvesMatch && method === "GET") { + try { + const name = decodeURIComponent(targetCurvesMatch[1]!); + let profile = + activeOverrideProfile && activeOverrideProfile.name === name + ? activeOverrideProfile.profile + : await findProfileByName(platform, name); + if (!profile) return jsonResponse({ detail: `Profile '${name}' not found` }, 404); + // The machine's profile list omits stages; fetch the full profile so the + // estimated curves are non-empty (the active override already has stages). + if (!Array.isArray(profile.stages) || profile.stages.length === 0) { + try { + const fullResp = await platform.machine.fetch(`/api/v1/profile/get/${profile.id}`); + if (fullResp.ok) { + const full = (await fullResp.json()) as MachineProfile; + if (Array.isArray(full?.stages)) profile = full; + } + } catch { + /* fall back to the list profile */ + } + } + return jsonResponse({ status: "success", target_curves: generateEstimatedTargetCurves(profile) }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to get target curves" }, + 500, + ); + } + } + + // PUT /api/profile/{name}/edit + const editMatch = pathname.match(/^\/api\/profile\/([^/]+)\/edit$/); + if (editMatch && method === "PUT") { + try { + const name = decodeURIComponent(editMatch[1]!); + const profile = await findProfileByName(platform, name); + if (!profile) return jsonResponse({ detail: `Profile '${name}' not found on machine` }, 404); + let fullProfile: MachineProfile = profile; + const fullResp = await platform.machine.fetch(`/api/v1/profile/get/${profile.id}`); + if (fullResp.ok) { + try { + const parsed = (await fullResp.json()) as MachineProfile; + if (typeof parsed?.id === "string") fullProfile = parsed; + } catch { + /* use the list profile */ + } + } + const body = (await req.json()) as { + name?: string; + temperature?: number; + final_weight?: number; + variables?: Array<{ key?: string; value?: unknown }>; + author?: string; + }; + const updated: MachineProfile = JSON.parse(JSON.stringify(fullProfile)); + if (body.name !== undefined) { + if (typeof body.name !== "string" || !body.name.trim()) { + return jsonResponse({ detail: "Profile name must be a non-empty string" }, 400); + } + updated.name = body.name.trim(); + } + if (body.temperature !== undefined) updated.temperature = Number(body.temperature); + if (body.final_weight !== undefined) updated.final_weight = Number(body.final_weight); + if (body.author !== undefined) updated.author = body.author; + if (body.variables !== undefined && Array.isArray(updated.variables)) { + const incoming = new Map( + body.variables + .filter((variable) => typeof variable.key === "string" && "value" in variable) + .map((variable) => [variable.key as string, variable.value]), + ); + updated.variables = (updated.variables as Array>).map((variable) => { + const key = typeof variable.key === "string" ? variable.key : null; + return key && incoming.has(key) ? { ...variable, value: incoming.get(key) } : variable; + }); + } + const machineProfile = stripProfileMetadata(updated as unknown as Record); + const saveOk = await machineOk(platform, "/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(machineProfile), + }); + if (!saveOk) return jsonResponse({ detail: "Failed to save profile to machine" }, 502); + + // Regenerate the static description for the edited profile (best-effort). + try { + const desc = buildStaticProfileDescription( + machineProfile as Parameters[0], + ); + await platform.storage.descriptions.write(updated.name, desc); + } catch { + /* non-critical */ + } + + return jsonResponse({ status: "success", profile: machineProfile }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to edit profile" }, + 500, + ); + } + } + + // GET /api/profile/{name} + const byNameMatch = pathname.match(/^\/api\/profile\/([^/]+)$/); + if (byNameMatch && method === "GET") { + const name = decodeURIComponent(byNameMatch[1]!); + try { + const profile = await findProfileByName(platform, name); + if (!profile) { + return jsonResponse({ + status: "not_found", + profile: null, + message: `Profile '${name}' not found on machine`, + }); + } + const includeStages = url.searchParams.get("include_stages") === "true"; + const responseProfile: Record = { + id: profile.id, + name: profile.name, + author: profile.author, + temperature: profile.temperature, + final_weight: profile.final_weight, + image: profileImagePath(profile), + accent_color: profile.display?.accentColor, + display: profile.display, + }; + if (includeStages) { + let stages = Array.isArray(profile.stages) ? profile.stages : []; + let variables = Array.isArray(profile.variables) ? profile.variables : []; + if (stages.length === 0) { + try { + const fullResp = await platform.machine.fetch(`/api/v1/profile/get/${profile.id}`); + if (fullResp.ok) { + const full = (await fullResp.json()) as MachineProfile; + if (Array.isArray(full?.stages)) stages = full.stages; + if (Array.isArray(full?.variables)) variables = full.variables; + } + } catch { + /* fall back to the list profile */ + } + } + responseProfile.stages = stages; + responseProfile.variables = variables; + } + return jsonResponse({ status: "success", profile: responseProfile }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to get profile info" }, + 500, + ); + } + } + + // GET /api/profiles/sync/status + if (pathname === "/api/profiles/sync/status" && method === "GET") { + return jsonResponse({ new_count: 0, updated_count: 0, orphaned_count: 0 }); + } + + // POST /api/profiles/sync + if (pathname === "/api/profiles/sync" && method === "POST") { + return jsonResponse({ status: "success", new: [], updated: [], orphaned: [] }); + } + + return null; +} diff --git a/packages/core/test/contract/profilesCrud.test.ts b/packages/core/test/contract/profilesCrud.test.ts new file mode 100644 index 00000000..297c48c9 --- /dev/null +++ b/packages/core/test/contract/profilesCrud.test.ts @@ -0,0 +1,428 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform, scriptedMachine } from "../mockPlatform"; +import type { Platform } from "../../src/platform"; +import { handle } from "../../src/handler"; + +function get(path: string): Request { + return new Request(`http://x${path}`, { method: "GET" }); +} + +function jsonReq(path: string, method: string, body?: unknown): Request { + return new Request(`http://x${path}`, { + method, + ...(body !== undefined + ? { headers: { "content-type": "application/json" }, body: JSON.stringify(body) } + : {}), + }); +} + +function formPost(path: string, fields: Record): Request { + const fd = new FormData(); + for (const [k, v] of Object.entries(fields)) fd.set(k, v); + return new Request(`http://x${path}`, { method: "POST", body: fd }); +} + +const SAMPLE_STAGE = { + name: "Ramp", + type: "pressure", + dynamics: { points: [[0, 6]], over: "time", interpolation: "linear" }, + exit_triggers: [{ type: "time", value: 30 }], +}; + +describe("profiles-crud: machine/profiles list", () => { + test("normalises with derived_tags, ai_tags, in_history and has_description", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [ + { id: "p1", name: "Turbo Bloom", display: { description: "Nice" } }, + { id: "p2", name: "Plain" }, + ], + }), + }); + await p.storage.aiTags.write("Turbo Bloom", ["fruity", "bright"]); + const body = await (await handle(get("/api/machine/profiles"), p)).json(); + expect(body.profiles).toHaveLength(2); + const turbo = body.profiles.find((x: { name: string }) => x.name === "Turbo Bloom"); + expect(turbo.in_history).toBe(true); + expect(turbo.has_description).toBe(true); + expect(turbo.ai_tags).toEqual(["fruity", "bright"]); + expect(Array.isArray(turbo.derived_tags)).toBe(true); + const plain = body.profiles.find((x: { name: string }) => x.name === "Plain"); + expect(plain.has_description).toBe(false); + expect(plain.ai_tags).toEqual([]); + }); + + test("returns an empty list when the machine is unreachable", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(get("/api/machine/profiles"), p)).json(); + expect(body).toEqual({ profiles: [] }); + }); +}); + +describe("profiles-crud: profile/{name} GET", () => { + test("returns success with the summary shape", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [ + { id: "p1", name: "Turbo", temperature: 93, final_weight: 40, display: { accentColor: "#f00" } }, + ], + }), + }); + const body = await (await handle(get("/api/profile/Turbo"), p)).json(); + expect(body.status).toBe("success"); + expect(body.profile.id).toBe("p1"); + expect(body.profile.accent_color).toBe("#f00"); + expect(body.profile.stages).toBeUndefined(); + }); + + test("include_stages=true attaches stages and variables", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [ + { id: "p1", name: "Turbo", stages: [SAMPLE_STAGE], variables: [{ key: "v", value: 1 }] }, + ], + }), + }); + const body = await (await handle(get("/api/profile/Turbo?include_stages=true"), p)).json(); + expect(body.profile.stages).toHaveLength(1); + expect(body.profile.variables).toEqual([{ key: "v", value: 1 }]); + }); + + test("not_found when the profile is absent", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/list": [{ id: "p1", name: "Other" }] }), + }); + const body = await (await handle(get("/api/profile/Missing"), p)).json(); + expect(body.status).toBe("not_found"); + expect(body.profile).toBeNull(); + }); +}); + +describe("profiles-crud: target-curves", () => { + test("returns estimated curves for a known profile", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [{ id: "p1", name: "Turbo", stages: [SAMPLE_STAGE], variables: [] }], + }), + }); + const res = await handle(get("/api/profile/Turbo/target-curves"), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(Array.isArray(body.target_curves)).toBe(true); + }); + + test("404 for an unknown profile", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/list": [] }), + }); + const res = await handle(get("/api/profile/Ghost/target-curves"), p); + expect(res.status).toBe(404); + }); + + test("fetches the full profile when the list entry lacks stages", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [{ id: "p1", name: "Turbo", variables: [] }], + "/api/v1/profile/get/p1": { id: "p1", name: "Turbo", stages: [SAMPLE_STAGE], variables: [] }, + }), + }); + const body = await (await handle(get("/api/profile/Turbo/target-curves"), p)).json(); + expect(body.status).toBe("success"); + expect(body.target_curves.length).toBeGreaterThan(0); + }); +}); + +describe("profiles-crud: edit", () => { + test("merges fields, saves to the machine and writes a description", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [{ id: "p1", name: "Turbo", temperature: 90 }], + "/api/v1/profile/get/p1": { + id: "p1", + name: "Turbo", + temperature: 90, + final_weight: 36, + stages: [SAMPLE_STAGE], + variables: [{ key: "flow", value: 2 }], + }, + "/api/v1/profile/save": {}, + }), + }); + const res = await handle( + jsonReq("/api/profile/Turbo/edit", "PUT", { + temperature: 94, + final_weight: 40, + variables: [{ key: "flow", value: 3 }], + }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.profile.temperature).toBe(94); + expect(body.profile.final_weight).toBe(40); + expect(body.profile.variables).toContainEqual({ key: "flow", value: 3 }); + expect(body.profile.change_id).toBeUndefined(); + expect(await p.storage.descriptions.read("Turbo")).toBeTruthy(); + }); + + test("404 when the profile is not on the machine", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/profile/list": [] }) }); + const res = await handle(jsonReq("/api/profile/Ghost/edit", "PUT", { temperature: 94 }), p); + expect(res.status).toBe(404); + }); + + test("400 on an empty name", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/list": [{ id: "p1", name: "Turbo" }], + "/api/v1/profile/get/p1": { id: "p1", name: "Turbo" }, + }), + }); + const res = await handle(jsonReq("/api/profile/Turbo/edit", "PUT", { name: " " }), p); + expect(res.status).toBe(400); + }); +}); + +describe("profiles-crud: rename (PATCH)", () => { + test("renames and reports the old and new names", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/get/p1": { id: "p1", name: "Old" }, + "/api/v1/profile/save": {}, + }), + }); + const res = await handle(jsonReq("/api/machine/profile/p1", "PATCH", { name: "New" }), p); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.old_name).toBe("Old"); + expect(body.new_name).toBe("New"); + }); + + test("400 when no name is supplied", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/machine/profile/p1", "PATCH", {}), p); + expect(res.status).toBe(400); + }); + + test("404 when the profile is unknown", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/machine/profile/p1", "PATCH", { name: "New" }), p); + expect(res.status).toBe(404); + }); +}); + +describe("profiles-crud: delete", () => { + test("deletes via the machine endpoint", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/delete/p1": {} }), + }); + const res = await handle(jsonReq("/api/machine/profile/p1", "DELETE"), p); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ success: true }); + }); + + test("502 when the machine rejects the delete", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/machine/profile/p1", "DELETE"), p); + expect(res.status).toBe(502); + }); +}); + +describe("profiles-crud: order", () => { + test("rejects a non-array order", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/machine/profiles/order", "POST", { order: "x" }), p); + expect(res.status).toBe(400); + }); + + test("saves a valid order to the machine settings", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/settings": {} }) }); + const res = await handle( + jsonReq("/api/machine/profiles/order", "POST", { order: ["a", "b"] }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.order).toEqual(["a", "b"]); + }); +}); + +describe("profiles-crud: load", () => { + test("loads a profile by id", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/load/p1": {} }), + }); + const res = await handle(jsonReq("/api/machine/profile/load", "POST", { profile_id: "p1" }), p); + expect(await res.json()).toEqual({ success: true }); + }); + + test("400 without a profile_id", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/machine/profile/load", "POST", {}), p); + expect(res.status).toBe(400); + }); +}); + +describe("profiles-crud: run-profile", () => { + test("loads and starts the profile", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/api/v1/profile/load/p1": {}, + "/api/v1/action/start": {}, + }), + }); + const res = await handle(jsonReq("/api/machine/run-profile/p1", "POST"), p); + const body = await res.json(); + expect(body.status).toBe("success"); + }); +}); + +describe("profiles-crud: run-profile-with-overrides", () => { + const machine = () => + scriptedMachine({ + "/api/v1/profile/get/p1": { + id: "p1", + name: "Turbo", + variables: [{ key: "flow", value: 2 }], + }, + "/api/v1/profile/save": {}, + "/api/v1/profile/load": {}, + "/api/v1/action/start": {}, + }); + + test("rejects an invalid save_mode", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle( + formPost("/api/machine/run-profile-with-overrides/p1", { + overrides_json: "{}", + save_mode: "bogus", + }), + p, + ); + expect(res.status).toBe(422); + }); + + test("rejects overriding info_ variables", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle( + formPost("/api/machine/run-profile-with-overrides/p1", { + overrides_json: JSON.stringify({ info_note: 1 }), + save_mode: "none", + }), + p, + ); + expect(res.status).toBe(422); + }); + + test("requires new_name when save_mode is save_new", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle( + formPost("/api/machine/run-profile-with-overrides/p1", { + overrides_json: JSON.stringify({ flow: 3 }), + save_mode: "save_new", + }), + p, + ); + expect(res.status).toBe(422); + }); + + test("applies overrides and starts (save_new) and sets the active override", async () => { + const p = makeMockPlatform({ machine: machine() }); + const res = await handle( + formPost("/api/machine/run-profile-with-overrides/p1", { + overrides_json: JSON.stringify({ flow: 3 }), + save_mode: "save_new", + new_name: "Turbo Plus", + }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.profile_name).toBe("Turbo Plus"); + expect(body.overrides_applied).toBe(1); + // The active override should now drive the target curves for the new name. + const curves = await (await handle(get("/api/profile/Turbo Plus/target-curves"), p)).json(); + expect(curves.status).toBe("success"); + }); +}); + +describe("profiles-crud: import + convert", () => { + test("import saves a file-source profile to the machine", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({ "/api/v1/profile/save": {} }) }); + const res = await handle( + jsonReq("/api/profile/import", "POST", { + source: "file", + profile: { name: "Imported" }, + }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.profile_name).toBe("Imported"); + expect(body.uploaded_to_machine).toBe(true); + }); + + test("import-all is a no-op success envelope", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(jsonReq("/api/profile/import-all", "POST"), p)).json(); + expect(body.status).toBe("success"); + }); + + test("convert-decent rejects a non-Decent body", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/convert-decent", "POST", { not: "decent" }), p); + expect(res.status).toBe(400); + }); +}); + +describe("profiles-crud: import-from-url", () => { + test("400 when no URL is given", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/import-from-url", "POST", {}), p); + expect(res.status).toBe(400); + }); + + test("fetches, validates the name and saves", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ + "/remote.json": { name: "Remote Profile", stages: [] }, + "/api/v1/profile/save": {}, + }), + }); + const res = await handle( + jsonReq("/api/import-from-url", "POST", { url: "http://machine.test:8080/remote.json" }), + p, + ); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.profile_name).toBe("Remote Profile"); + }); +}); + +describe("profiles-crud: sync + orphaned + profile json", () => { + test("sync/status reports zero counts", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(get("/api/profiles/sync/status"), p)).json(); + expect(body).toEqual({ new_count: 0, updated_count: 0, orphaned_count: 0 }); + }); + + test("sync returns empty buckets", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(jsonReq("/api/profiles/sync", "POST"), p)).json(); + expect(body).toEqual({ status: "success", new: [], updated: [], orphaned: [] }); + }); + + test("orphaned returns an empty list", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await (await handle(get("/api/machine/profiles/orphaned"), p)).json(); + expect(body).toEqual({ orphaned: [] }); + }); + + test("profile/{id}/json wraps the machine payload", async () => { + const p = makeMockPlatform({ + machine: scriptedMachine({ "/api/v1/profile/get/p1": { id: "p1", name: "Turbo" } }), + }); + const body = await (await handle(get("/api/machine/profile/p1/json"), p)).json(); + expect(body.profile).toEqual({ id: "p1", name: "Turbo" }); + }); +}); From 7c5717e2ff8ec626be6e9b8332bc007155e148ec Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 00:27:16 +0200 Subject: [PATCH 28/62] feat(core): port system meta routes + model discovery to @metic/core Port modelResolver (dynamic Gemini model discovery + ranking) into @metic/core as the single source of truth; the native services/ai/modelResolver becomes a thin re-export shim. Add optional PlatformAI.listModels()/currentModel() seam, implemented by the Node platform (Gemini SDK models.list + core ranking) and the browser platform (active provider). Add system routes /api/available-models (live discovery, static fallback, text-only filtering), /api/changelog (GitHub releases), /api/update-method, /api/tailscale-status, and 501 stubs for check-updates/restart/beta-channel/feedback. 8 new contract tests (445 core total). Live-verified against machine 192.168.50.168 + real Gemini: 18 text models (no image/tts/embedding leakage), 5 real releases, stubs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/platform/node.ts | 19 ++ apps/web/src/services/ai/modelResolver.ts | 181 ++---------------- .../src/services/platform/browserPlatform.ts | 13 +- packages/core/package.json | 3 +- packages/core/src/ai/modelResolver.ts | 166 ++++++++++++++++ packages/core/src/platform.ts | 7 + packages/core/src/routes/system.ts | 69 +++++++ packages/core/test/contract/system.test.ts | 57 ++++++ 8 files changed, 349 insertions(+), 166 deletions(-) create mode 100644 packages/core/src/ai/modelResolver.ts diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 19a5a4eb..78ea8e42 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -12,6 +12,11 @@ import { mkdir, readFile, writeFile, readdir, unlink, rename } from "node:fs/pro import { existsSync, readFileSync } from "node:fs"; import { join, dirname } from "node:path"; import { GoogleGenAI } from "@google/genai"; +import { + listAvailableModels, + STATIC_FALLBACK_MODELS, + type ModelClient, +} from "@metic/core/ai/modelResolver"; import type { Platform, PlatformAI, @@ -247,6 +252,20 @@ function geminiAI(getConfig: () => AIConfig): PlatformAI { }); return { text: (response as { text?: string }).text ?? "" }; }, + currentModel() { + return getConfig().model || DEFAULT_GEMINI_MODEL; + }, + async listModels() { + const { apiKey } = getConfig(); + if (!apiKey) return STATIC_FALLBACK_MODELS; + try { + const client = new GoogleGenAI({ apiKey }); + const models = await listAvailableModels(client as unknown as ModelClient); + return models.length ? models : STATIC_FALLBACK_MODELS; + } catch { + return STATIC_FALLBACK_MODELS; + } + }, }; } diff --git a/apps/web/src/services/ai/modelResolver.ts b/apps/web/src/services/ai/modelResolver.ts index 4a445a05..f4c64260 100644 --- a/apps/web/src/services/ai/modelResolver.ts +++ b/apps/web/src/services/ai/modelResolver.ts @@ -1,166 +1,19 @@ /** - * Dynamic Gemini model discovery & ranking for the native/browser runtime. - * Mirrors the server-side heuristic in services/gemini_service.py (#485). + * Dynamic Gemini model discovery & ranking. + * + * The implementation now lives in @metic/core so the Node server and the + * browser/Capacitor runtime share one source of truth. This module is a thin + * re-export shim kept for existing importers. */ - -export interface DiscoveredModel { - name: string - supportedActions?: string[] - // Optional display metadata from the SDK, surfaced by listAvailableModels (Task 7B). - displayName?: string - description?: string -} - -const NON_TEXT_FRAGMENTS = ['embedding', 'aqa', 'imagen', 'image', 'tts', 'computer-use', 'robotics'] -const UNSTABLE_RE = /(preview|experimental|-exp\b|exp$|-\d{2}-\d{2}|-\d{3,4}$)/ - -function shortName(name: string): string { - return (name.split('/').pop() ?? '').trim().toLowerCase() -} - -/** - * True only for Gemini text-chat models. Requires the `gemini-` prefix - * (excludes gemma, lyria, nano-banana, deep-research, antigravity, …) and - * rejects special-purpose Gemini variants (image, tts, computer-use, robotics). - */ -function isTextModel(short: string): boolean { - if (!short.startsWith('gemini-')) return false - return !NON_TEXT_FRAGMENTS.some(f => short.includes(f)) -} - -/** - * Pick the best generateContent-capable model from a discovered list. - * Returns the model id (without the 'models/' prefix) or null. - */ -export function rankModels(models: DiscoveredModel[]): string | null { - const candidates = models - .filter(m => (m.supportedActions ?? ['generateContent']).includes('generateContent')) - .map(m => shortName(m.name)) - .filter(s => isTextModel(s)) - - if (candidates.length === 0) return null - - const score = (s: string): [number, number, number, number, string] => { - const unstable = UNSTABLE_RE.test(s) ? 1 : 0 - const cls = s.includes('flash-lite') ? 1 : s.includes('flash') ? 0 : s.includes('pro') ? 2 : 3 - const vm = s.match(/gemini-(\d+)\.(\d+)/) - const major = vm ? parseInt(vm[1], 10) : 0 - const minor = vm ? parseInt(vm[2], 10) : 0 - return [unstable, cls, -major, -minor, s] - } - - return candidates.slice().sort((a, b) => { - const sa = score(a) - const sb = score(b) - for (let i = 0; i < 4; i++) { - if ((sa[i] as number) !== (sb[i] as number)) return (sa[i] as number) - (sb[i] as number) - } - return (sa[4] as string).localeCompare(sb[4] as string) - })[0] -} - -import { AIServiceError } from './aiErrors' - -/** Minimal shape of the @google/genai client we depend on. */ -export interface ModelClient { - models: { - get: (args: { model: string }) => Promise - list: () => Promise | AsyncIterable> - } -} - -let _cachedModel: string | null = null - -/** Test-only: clear the in-memory resolved-model cache. */ -export function __resetModelCache(): void { - _cachedModel = null -} - -async function validateModel(client: ModelClient, model: string): Promise { - try { - await client.models.get({ model }) - return true - } catch { - return false - } -} - -async function listModels(client: ModelClient): Promise { - const out: DiscoveredModel[] = [] - const res = await client.models.list() - // The SDK may return a sync iterable or an async pager. - for await (const m of res as AsyncIterable) out.push(m) - return out -} - -/** - * Resolve a working, served model id. Tries the configured model first, then - * dynamic discovery. Caches the result in memory (session-scoped). Throws - * AIServiceError('MODEL_NOT_FOUND') when nothing compatible is available. - */ -export async function resolveWorkingModel( - client: ModelClient, - configured: string, - forceRefresh = false, -): Promise { - if (_cachedModel && !forceRefresh) return _cachedModel - - // On a forced refresh, skip the (likely dead) configured model and go - // straight to discovery. Otherwise honor the configured model when served. - if (!forceRefresh && await validateModel(client, configured)) { - _cachedModel = configured - return configured - } - - const best = rankModels(await listModels(client)) - if (best) { - _cachedModel = best - return best - } - throw new AIServiceError('MODEL_NOT_FOUND') -} - -export interface AvailableModel { - id: string - display_name: string - description: string -} - -/** Offline / no-API-key fallback. Single source of truth for the static list. */ -export const STATIC_FALLBACK_MODELS: AvailableModel[] = [ - { id: 'gemini-2.5-flash', display_name: 'Gemini 2.5 Flash', description: 'Fast and efficient' }, - { id: 'gemini-2.5-flash-lite', display_name: 'Gemini 2.5 Flash Lite', description: 'Lightweight' }, - { id: 'gemini-2.5-pro', display_name: 'Gemini 2.5 Pro', description: 'Most capable' }, -] - -/** - * List served, generateContent-capable models for the model-picker UI, ordered - * best-first by the same heuristic as rankModels(). Maps to the - * { id, display_name, description } shape the Settings dropdown expects. - * Throws if the underlying models.list() call fails (caller handles fallback). - */ -export async function listAvailableModels(client: ModelClient): Promise { - const discovered = await listModels(client) - const byShort = new Map() - let pool = discovered.filter( - m => (m.supportedActions ?? ['generateContent']).includes('generateContent'), - ) - for (const m of pool) byShort.set(shortName(m.name), m) - - const ordered: string[] = [] - // Repeatedly pull the best remaining model so the list is preference-ordered. - while (pool.length) { - const best = rankModels(pool) - if (!best) break - ordered.push(best) - pool = pool.filter(m => shortName(m.name) !== best) - } - return ordered.map(id => { - const src = byShort.get(id) - return { - id, - display_name: src?.displayName?.trim() || id, - description: src?.description?.trim() || '', - } - }) -} +export { + rankModels, + resolveWorkingModel, + listAvailableModels, + STATIC_FALLBACK_MODELS, + __resetModelCache, +} from "@metic/core/ai/modelResolver"; +export type { + DiscoveredModel, + ModelClient, + AvailableModel, +} from "@metic/core/ai/modelResolver"; diff --git a/apps/web/src/services/platform/browserPlatform.ts b/apps/web/src/services/platform/browserPlatform.ts index 3736f945..f91b80f6 100644 --- a/apps/web/src/services/platform/browserPlatform.ts +++ b/apps/web/src/services/platform/browserPlatform.ts @@ -15,7 +15,12 @@ * contract tests hold on both hosts. */ -import { getProviderForMethod, isAIConfigured } from "@/services/ai/providers"; +import { + getProviderForMethod, + isAIConfigured, + getActiveHostedProviderId, + getProviderModel, +} from "@/services/ai/providers"; import type { AIProvider } from "@/services/ai/providers/AIProvider"; import { getDefaultMachineUrl } from "@/lib/machineMode"; import { @@ -181,6 +186,12 @@ function providerAI(getProvider: () => AIProvider, configured: () => boolean): P const blob = await provider.generateImage(prompt); return new Uint8Array(await blob.arrayBuffer()); }, + async listModels() { + return getProvider().listModels(); + }, + currentModel() { + return getProviderModel(getActiveHostedProviderId()); + }, }; } diff --git a/packages/core/package.json b/packages/core/package.json index 3b4285bc..872a4d95 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -35,7 +35,8 @@ "./routes/profiles": "./src/routes/profiles.ts", "./routes/profileApply": "./src/routes/profileApply.ts", "./routes/profileDescription": "./src/routes/profileDescription.ts", - "./routes/analyzeAndProfile": "./src/routes/analyzeAndProfile.ts" + "./routes/analyzeAndProfile": "./src/routes/analyzeAndProfile.ts", + "./ai/modelResolver": "./src/ai/modelResolver.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/ai/modelResolver.ts b/packages/core/src/ai/modelResolver.ts new file mode 100644 index 00000000..4a445a05 --- /dev/null +++ b/packages/core/src/ai/modelResolver.ts @@ -0,0 +1,166 @@ +/** + * Dynamic Gemini model discovery & ranking for the native/browser runtime. + * Mirrors the server-side heuristic in services/gemini_service.py (#485). + */ + +export interface DiscoveredModel { + name: string + supportedActions?: string[] + // Optional display metadata from the SDK, surfaced by listAvailableModels (Task 7B). + displayName?: string + description?: string +} + +const NON_TEXT_FRAGMENTS = ['embedding', 'aqa', 'imagen', 'image', 'tts', 'computer-use', 'robotics'] +const UNSTABLE_RE = /(preview|experimental|-exp\b|exp$|-\d{2}-\d{2}|-\d{3,4}$)/ + +function shortName(name: string): string { + return (name.split('/').pop() ?? '').trim().toLowerCase() +} + +/** + * True only for Gemini text-chat models. Requires the `gemini-` prefix + * (excludes gemma, lyria, nano-banana, deep-research, antigravity, …) and + * rejects special-purpose Gemini variants (image, tts, computer-use, robotics). + */ +function isTextModel(short: string): boolean { + if (!short.startsWith('gemini-')) return false + return !NON_TEXT_FRAGMENTS.some(f => short.includes(f)) +} + +/** + * Pick the best generateContent-capable model from a discovered list. + * Returns the model id (without the 'models/' prefix) or null. + */ +export function rankModels(models: DiscoveredModel[]): string | null { + const candidates = models + .filter(m => (m.supportedActions ?? ['generateContent']).includes('generateContent')) + .map(m => shortName(m.name)) + .filter(s => isTextModel(s)) + + if (candidates.length === 0) return null + + const score = (s: string): [number, number, number, number, string] => { + const unstable = UNSTABLE_RE.test(s) ? 1 : 0 + const cls = s.includes('flash-lite') ? 1 : s.includes('flash') ? 0 : s.includes('pro') ? 2 : 3 + const vm = s.match(/gemini-(\d+)\.(\d+)/) + const major = vm ? parseInt(vm[1], 10) : 0 + const minor = vm ? parseInt(vm[2], 10) : 0 + return [unstable, cls, -major, -minor, s] + } + + return candidates.slice().sort((a, b) => { + const sa = score(a) + const sb = score(b) + for (let i = 0; i < 4; i++) { + if ((sa[i] as number) !== (sb[i] as number)) return (sa[i] as number) - (sb[i] as number) + } + return (sa[4] as string).localeCompare(sb[4] as string) + })[0] +} + +import { AIServiceError } from './aiErrors' + +/** Minimal shape of the @google/genai client we depend on. */ +export interface ModelClient { + models: { + get: (args: { model: string }) => Promise + list: () => Promise | AsyncIterable> + } +} + +let _cachedModel: string | null = null + +/** Test-only: clear the in-memory resolved-model cache. */ +export function __resetModelCache(): void { + _cachedModel = null +} + +async function validateModel(client: ModelClient, model: string): Promise { + try { + await client.models.get({ model }) + return true + } catch { + return false + } +} + +async function listModels(client: ModelClient): Promise { + const out: DiscoveredModel[] = [] + const res = await client.models.list() + // The SDK may return a sync iterable or an async pager. + for await (const m of res as AsyncIterable) out.push(m) + return out +} + +/** + * Resolve a working, served model id. Tries the configured model first, then + * dynamic discovery. Caches the result in memory (session-scoped). Throws + * AIServiceError('MODEL_NOT_FOUND') when nothing compatible is available. + */ +export async function resolveWorkingModel( + client: ModelClient, + configured: string, + forceRefresh = false, +): Promise { + if (_cachedModel && !forceRefresh) return _cachedModel + + // On a forced refresh, skip the (likely dead) configured model and go + // straight to discovery. Otherwise honor the configured model when served. + if (!forceRefresh && await validateModel(client, configured)) { + _cachedModel = configured + return configured + } + + const best = rankModels(await listModels(client)) + if (best) { + _cachedModel = best + return best + } + throw new AIServiceError('MODEL_NOT_FOUND') +} + +export interface AvailableModel { + id: string + display_name: string + description: string +} + +/** Offline / no-API-key fallback. Single source of truth for the static list. */ +export const STATIC_FALLBACK_MODELS: AvailableModel[] = [ + { id: 'gemini-2.5-flash', display_name: 'Gemini 2.5 Flash', description: 'Fast and efficient' }, + { id: 'gemini-2.5-flash-lite', display_name: 'Gemini 2.5 Flash Lite', description: 'Lightweight' }, + { id: 'gemini-2.5-pro', display_name: 'Gemini 2.5 Pro', description: 'Most capable' }, +] + +/** + * List served, generateContent-capable models for the model-picker UI, ordered + * best-first by the same heuristic as rankModels(). Maps to the + * { id, display_name, description } shape the Settings dropdown expects. + * Throws if the underlying models.list() call fails (caller handles fallback). + */ +export async function listAvailableModels(client: ModelClient): Promise { + const discovered = await listModels(client) + const byShort = new Map() + let pool = discovered.filter( + m => (m.supportedActions ?? ['generateContent']).includes('generateContent'), + ) + for (const m of pool) byShort.set(shortName(m.name), m) + + const ordered: string[] = [] + // Repeatedly pull the best remaining model so the list is preference-ordered. + while (pool.length) { + const best = rankModels(pool) + if (!best) break + ordered.push(best) + pool = pool.filter(m => shortName(m.name) !== best) + } + return ordered.map(id => { + const src = byShort.get(id) + return { + id, + display_name: src?.displayName?.trim() || id, + description: src?.description?.trim() || '', + } + }) +} diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index dd48c8a3..d0a8553f 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -63,6 +63,13 @@ export interface PlatformAI { generateText(req: { contents: unknown; config?: unknown }): Promise<{ text: string }>; /** Optional image generation; absent on hosts/providers without the capability. */ generateImage?(prompt: string): Promise; + /** + * List the served text models for the model-picker UI, best-first. Optional: + * hosts without discovery omit it and the route falls back to a static list. + */ + listModels?(): Promise>; + /** The currently-configured model id, surfaced by GET /api/available-models. */ + currentModel?(): string; } diff --git a/packages/core/src/routes/system.ts b/packages/core/src/routes/system.ts index c159fa6b..f8fb05ae 100644 --- a/packages/core/src/routes/system.ts +++ b/packages/core/src/routes/system.ts @@ -18,10 +18,15 @@ * POST /api/settings -> persist author/model/mqtt/key, returns { status } * GET /api/network-ip -> configured machine host * GET /api/version -> app version + runtime mode + * GET /api/available-models -> served text models (live discovery + fallback) + * GET /api/changelog -> recent GitHub releases (best-effort) + * GET /api/update-method / /api/tailscale-status -> admin stubs + * /api/check-updates | /restart | /beta-channel | /feedback -> 501 */ import type { Platform } from "../platform"; import { jsonResponse } from "../http"; +import { STATIC_FALLBACK_MODELS } from "../ai/modelResolver"; const SETTINGS_KEY = "settings"; const DEFAULT_GEMINI_MODEL = "gemini-2.5-flash"; @@ -117,5 +122,69 @@ export async function handleSystemRoutes( }); } + // GET /api/available-models -> live discovery, static fallback when offline. + if (pathname === "/api/available-models" && req.method === "GET") { + const current = + platform.ai.currentModel?.() || + platform.secrets.getAIConfig().model || + DEFAULT_GEMINI_MODEL; + try { + if (platform.ai.isConfigured() && platform.ai.listModels) { + const models = await platform.ai.listModels(); + if (models.length) return jsonResponse({ models, current }); + } + } catch { + // fall through to the static fallback + } + return jsonResponse({ models: STATIC_FALLBACK_MODELS, current }); + } + + // GET /api/changelog -> recent GitHub releases (best-effort). + if (pathname === "/api/changelog" && req.method === "GET") { + try { + const resp = await fetch( + "https://api.github.com/repos/hessius/MeticAI/releases?per_page=5", + { signal: AbortSignal.timeout(8000), headers: { Accept: "application/vnd.github+json" } }, + ); + if (resp.ok) { + const releases = (await resp.json()) as Array<{ + tag_name: string; + published_at: string; + body: string; + }>; + return jsonResponse({ + releases: releases.map((r) => ({ + version: r.tag_name, + date: r.published_at, + body: r.body || "No release notes available.", + })), + }); + } + return jsonResponse({ releases: [], error: "Failed to fetch releases" }); + } catch { + return jsonResponse({ releases: [], error: "Failed to fetch releases" }); + } + } + + // Backend-only admin routes -> sensible stubs (parity with native direct mode). + if (pathname === "/api/update-method" && req.method === "GET") { + return jsonResponse({ method: "manual", can_trigger_update: false }); + } + if (pathname === "/api/tailscale-status" && req.method === "GET") { + return jsonResponse({ enabled: false, installed: false }); + } + if ( + (pathname === "/api/check-updates" || + pathname === "/api/restart" || + pathname === "/api/beta-channel" || + pathname === "/api/feedback") && + (req.method === "GET" || req.method === "POST") + ) { + return jsonResponse( + { detail: "Server administration not available in direct/app mode" }, + 501, + ); + } + return null; } diff --git a/packages/core/test/contract/system.test.ts b/packages/core/test/contract/system.test.ts index e76eb0c1..3c2f2843 100644 --- a/packages/core/test/contract/system.test.ts +++ b/packages/core/test/contract/system.test.ts @@ -105,3 +105,60 @@ describe("system: GET /api/version", () => { expect(body.version).toBe("unknown"); }); }); + +describe("system: GET /api/available-models", () => { + test("returns discovered models with the current model when configured", async () => { + const p = makeMockPlatform({ + ai: { + isConfigured: () => true, + generateText: async () => ({ text: "" }), + listModels: async () => [ + { id: "gemini-3.1-pro", display_name: "Gemini 3.1 Pro", description: "" }, + ], + currentModel: () => "gemini-3.1-pro", + }, + }); + const body = await (await handle(get("/api/available-models"), p)).json(); + expect(body.current).toBe("gemini-3.1-pro"); + expect(body.models).toEqual([ + { id: "gemini-3.1-pro", display_name: "Gemini 3.1 Pro", description: "" }, + ]); + }); + + test("falls back to the static list when unconfigured", async () => { + const body = await (await handle(get("/api/available-models"), makeMockPlatform())).json(); + expect(body.models.length).toBeGreaterThan(0); + expect(body.models[0].id).toContain("gemini"); + }); + + test("falls back to the static list when discovery throws", async () => { + const p = makeMockPlatform({ + ai: { + isConfigured: () => true, + generateText: async () => ({ text: "" }), + listModels: async () => { + throw new Error("boom"); + }, + }, + }); + const body = await (await handle(get("/api/available-models"), p)).json(); + expect(body.models.length).toBeGreaterThan(0); + }); +}); + +describe("system: admin stubs", () => { + test("update-method reports manual with no self-update", async () => { + const body = await (await handle(get("/api/update-method"), makeMockPlatform())).json(); + expect(body).toEqual({ method: "manual", can_trigger_update: false }); + }); + + test("tailscale-status reports disabled/uninstalled", async () => { + const body = await (await handle(get("/api/tailscale-status"), makeMockPlatform())).json(); + expect(body).toEqual({ enabled: false, installed: false }); + }); + + test("restart is not available (501)", async () => { + const res = await handle(post("/api/restart", {}), makeMockPlatform()); + expect(res.status).toBe(501); + }); +}); From 26e9ed8f7ee98e8aa55180c41ce82e573dcfa9a1 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 00:32:24 +0200 Subject: [PATCH 29/62] feat(core): port recipe library to @metic/core as single source Extract the bundled pour-over recipe library into packages/core/src/data/recipes.ts as the single source of truth and add routes/recipes.ts serving GET /api/recipes (sorted by name) and GET /api/recipes/{slug} (404 on unknown). The native DirectModeInterceptor now imports POUR_OVER_RECIPES from core instead of carrying its own inline copy (removes ~11KB of duplicated data). Un-ignore packages/core/src/data so the source asset is tracked. 3 contract tests (448 core total); native interceptor suite still green (55). Live-verified against the Bun server: 9 recipes sorted, single-slug lookup, 404 path. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 2 + .../interceptor/DirectModeInterceptor.ts | 13 +- packages/core/package.json | 4 +- packages/core/src/data/recipes.ts | 716 ++++++++++++++++++ packages/core/src/handler.ts | 4 + packages/core/src/routes/recipes.ts | 37 + packages/core/test/contract/recipes.test.ts | 33 + 7 files changed, 797 insertions(+), 12 deletions(-) create mode 100644 packages/core/src/data/recipes.ts create mode 100644 packages/core/src/routes/recipes.ts create mode 100644 packages/core/test/contract/recipes.test.ts diff --git a/.gitignore b/.gitignore index fcbc8f44..f0cb92eb 100644 --- a/.gitignore +++ b/.gitignore @@ -43,6 +43,8 @@ htmlcov/ data/ !data/PourOverBase.json !data/recipes/ +!packages/core/src/data/ +!packages/core/src/data/** # Update tracking .versions.json diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.ts index 1d1c2a78..431e81cd 100644 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.ts +++ b/apps/web/src/services/interceptor/DirectModeInterceptor.ts @@ -14,6 +14,7 @@ import { buildShotFacts } from '@/lib/shotFacts' import { lintShotAnalysis, repairShotAnalysis, validateAgainstFacts, checkStructure } from '@/lib/analysisLint' import { buildAnalyzeLlmPrompt } from './analyzeLlmPrompt' import { buildTasteContext } from '../ai/prompts' +import { POUR_OVER_RECIPES } from '@metic/core/data/recipes' import { addDirectDialInIteration, clearDirectHistory, @@ -3558,17 +3559,7 @@ export function installDirectModeInterceptor(): void { // GET /api/recipes → bundled pour-over recipes (sorted alphabetically by name) if (url.match(/\/api\/recipes$/)) { - return Promise.resolve(jsonResponse([ - {"version":"1.1.0","metadata":{"name":"4:6 Method (Lighter)","author":"Tetsu Kasuya","description":"Lighter-bodied 4:6 with a single strength pour. First 40% (two pours of 60g) controls sweetness; final 60% (one pour of 180g) produces a lighter, cleaner cup. Use a coarse grind for clarity.","compatibility":["V60","April","Origami"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Ceramic"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":300.0,"grind_setting":"Coarse"},"protocol":[{"step":1,"action":"pour","water_g":60,"duration_s":15,"notes":"First pour — controls sweetness"},{"step":2,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":3,"action":"pour","water_g":60,"duration_s":15,"notes":"Second pour — controls sweetness"},{"step":4,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":5,"action":"pour","water_g":180,"duration_s":45,"notes":"Single combined strength pour to 300g total"}],"slug":"4-6-method-lighter"}, - {"version":"1.1.0","metadata":{"name":"4:6 Method (Standard)","author":"Tetsu Kasuya","description":"Classic 4:6 with two equal strength pours. First 40% (two pours of 60g) controls sweetness; final 60% (two pours of 90g) controls strength. Use a coarse grind for clarity.","compatibility":["V60","April","Origami"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Ceramic"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":300.0,"grind_setting":"Coarse"},"protocol":[{"step":1,"action":"pour","water_g":60,"duration_s":15,"notes":"First pour — controls sweetness"},{"step":2,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":3,"action":"pour","water_g":60,"duration_s":15,"notes":"Second pour — controls sweetness"},{"step":4,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":5,"action":"pour","water_g":90,"duration_s":20,"notes":"Third pour — controls strength"},{"step":6,"action":"wait","duration_s":60,"notes":"Wait for the bed to drain"},{"step":7,"action":"pour","water_g":90,"duration_s":20,"notes":"Fourth pour — controls strength"}],"slug":"4-6-method-standard"}, - {"version":"1.1.0","metadata":{"name":"4:6 Method (Stronger)","author":"Tetsu Kasuya","description":"Adjust sweetness with the first 40% of water (pours 1–2) and strength with the final 60% (pours 3–5). Use a coarse grind for clarity.","compatibility":["V60","April","Origami"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Ceramic"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":300.0,"grind_setting":"Coarse"},"protocol":[{"step":1,"action":"pour","water_g":60,"duration_s":15,"notes":"First pour — controls sweetness"},{"step":2,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":3,"action":"pour","water_g":60,"duration_s":15,"notes":"Second pour — controls sweetness"},{"step":4,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":5,"action":"pour","water_g":60,"duration_s":15,"notes":"Third pour — controls strength"},{"step":6,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":7,"action":"pour","water_g":60,"duration_s":15,"notes":"Fourth pour — controls strength"},{"step":8,"action":"wait","duration_s":45,"notes":"Wait for the bed to drain"},{"step":9,"action":"pour","water_g":60,"duration_s":15,"notes":"Fifth pour — controls strength"}],"slug":"4-6-method"}, - {"version":"1.1.0","metadata":{"name":"Better 1-Cup V60","author":"James Hoffmann","description":"Better 1-Cup V60 technique. 50g bloom with a mid-bloom swirl, then four measured pours of 50g each with 10-second pauses, finished with a gentle swirl.","compatibility":["V60"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Plastic"},"filter_type":"Paper"},"ingredients":{"coffee_g":15.0,"water_g":250.0,"grind_setting":"Medium-Fine"},"protocol":[{"step":1,"action":"bloom","water_g":50,"duration_s":10,"notes":"Pour 50g to bloom"},{"step":2,"action":"swirl","duration_s":5,"notes":"Gently swirl at 10–15s"},{"step":3,"action":"wait","duration_s":30,"notes":"Finish bloom — wait until 0:45"},{"step":4,"action":"pour","water_g":50,"duration_s":15,"notes":"Pour to 100g total (40% weight)"},{"step":5,"action":"wait","duration_s":10},{"step":6,"action":"pour","water_g":50,"duration_s":10,"notes":"Pour to 150g total (60% weight)"},{"step":7,"action":"wait","duration_s":10},{"step":8,"action":"pour","water_g":50,"duration_s":10,"notes":"Pour to 200g total (80% weight)"},{"step":9,"action":"wait","duration_s":10},{"step":10,"action":"pour","water_g":50,"duration_s":10,"notes":"Pour to 250g total (100% weight)"},{"step":11,"action":"swirl","duration_s":5,"notes":"Gently swirl to flatten the bed"},{"step":12,"action":"wait","duration_s":60,"notes":"Allow to drain completely"}],"slug":"hoffmann-v2"}, - {"version":"1.1.0","metadata":{"name":"God/Devil Switch","author":"Tetsu Kasuya","description":"Hario Switch recipe. Open-valve hot percolation for the first 120g, then close the valve for cool immersion to 280g. Requires a gooseneck kettle with adjustable temperature.","compatibility":["Hario Switch"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"Switch","material":"Glass"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":280.0,"grind_setting":"Medium-Fine"},"protocol":[{"step":1,"action":"pour","water_g":60,"duration_s":15,"valve_state":"open","notes":"Valve OPEN — pour 60g at 90°C"},{"step":2,"action":"wait","duration_s":15,"valve_state":"open","notes":"Wait — valve remains open, percolating"},{"step":3,"action":"pour","water_g":60,"duration_s":20,"valve_state":"open","notes":"Pour 60g more to 120g total — still at 90°C. Begin lowering kettle temperature to 70°C now."},{"step":4,"action":"wait","duration_s":25,"valve_state":"open","notes":"Wait until ~1:15. Ensure water is at 70°C before next step."},{"step":5,"action":"pour","water_g":160,"duration_s":25,"valve_state":"closed","notes":"CLOSE valve, then pour 160g at 70°C to 280g total — immersion phase begins"},{"step":6,"action":"wait","duration_s":30,"valve_state":"closed","notes":"Steep with valve closed"},{"step":7,"action":"wait","duration_s":60,"valve_state":"open","notes":"OPEN valve — drain. Aim to complete by 3-minute mark."}],"slug":"kasuya-god-devil"}, - {"version":"1.1.0","metadata":{"name":"Go-To V60","author":"Pierre Tymms / Nordic Brew Lab","description":"Reliable everyday V60 with three progressive pours building to a final large pour. Balanced extraction with a medium-coarse grind targeting 2:45–3:00 total brew time.","compatibility":["V60","Origami","April"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Ceramic"},"filter_type":"Paper"},"ingredients":{"coffee_g":18.0,"water_g":300.0,"grind_setting":"Medium-Coarse"},"protocol":[{"step":1,"action":"bloom","water_g":60,"duration_s":15,"notes":"Pour 60g to bloom — gentle spiral to saturate all grounds"},{"step":2,"action":"wait","duration_s":15,"notes":"Wait until 0:30 — let bloom degas"},{"step":3,"action":"pour","water_g":60,"duration_s":15,"notes":"Pour to 120g — steady centre pour"},{"step":4,"action":"wait","duration_s":15,"notes":"Wait until 1:00"},{"step":5,"action":"pour","water_g":60,"duration_s":15,"notes":"Pour to 180g — steady centre pour"},{"step":6,"action":"wait","duration_s":15,"notes":"Wait until 1:30"},{"step":7,"action":"pour","water_g":120,"duration_s":20,"notes":"Pour to 300g — larger final pour, centre circles"},{"step":8,"action":"swirl","duration_s":5,"notes":"Gentle swirl to level the bed"}],"slug":"nordic-brew-lab-goto"}, - {"version":"1.1.0","metadata":{"name":"One and Done Double Bloom","author":"Lance Hedrick","description":"Double bloom technique for maximum extraction clarity. Two short blooms fully saturate the bed before a single aggressive centre pour. Grind finer than typical (target 2:00–2:30 draw down). Use 93–96°C for light roasts, 90–93°C for medium, lower for darker roasts. 1:15 ratio.","compatibility":["V60","Origami","April"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Plastic"},"filter_type":"Paper"},"ingredients":{"coffee_g":15.0,"water_g":225.0,"grind_setting":"Fine"},"protocol":[{"step":1,"action":"bloom","water_g":45,"duration_s":10,"flow_rate":"steady","notes":"Pour 45g (3× dose) at 5–10 ml/s — first bloom to wet all grounds"},{"step":2,"action":"wait","duration_s":20,"notes":"Wait until 0:30 — let first bloom degas"},{"step":3,"action":"pour","water_g":45,"duration_s":10,"flow_rate":"steady","notes":"Pour to 90g at 5–10 ml/s — second bloom for full saturation"},{"step":4,"action":"wait","duration_s":20,"notes":"Wait until 1:00 — let second bloom settle"},{"step":5,"action":"pour","water_g":135,"duration_s":15,"flow_rate":"fast","notes":"Pour to 225g at 9–10 ml/s in coin-sized circles in the centre — single aggressive main pour"},{"step":6,"action":"swirl","duration_s":5,"notes":"Gentle Rao spin to level the bed"}],"slug":"lance-hedrick-double-bloom"}, - {"version":"1.1.0","metadata":{"name":"Single Pour","author":"Lance Hedrick","description":"Long bloom with wet WDT to fully saturate grounds, then one continuous pour. High extraction with minimal fines migration.","compatibility":["V60"],"visualizer_hint":"linear_ramp"},"equipment":{"dripper":{"model":"V60","material":"Plastic"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":340.0,"grind_setting":"Medium-Coarse"},"protocol":[{"step":1,"action":"bloom","water_g":60,"duration_s":10,"notes":"Pour 60g (3× dose) to saturate all grounds evenly"},{"step":2,"action":"stir","duration_s":10,"notes":"Wet WDT — stir through the grounds with a WDT tool or chopstick to break all dry pockets"},{"step":3,"action":"wait","duration_s":80,"notes":"Wait — total bloom ~1:40"},{"step":4,"action":"pour","water_g":280,"duration_s":120,"flow_rate":"steady","notes":"Single continuous centre pour to 340g — maintain height for turbulence. After draining, swirl if slow / wet WDT if somewhat quick / turn bed with spoon if draining fast."}],"slug":"lance-hedrick-single-pour"}, - {"version":"1.1.0","metadata":{"name":"V60 Technique","author":"Scott Rao","description":"Centre-pour technique with an aggressive bloom spin (5–7 revolutions), two equal main pours separated by a 50%-drained wait, each followed by a gentle 2-revolution spin. Targets 22–24.5% extraction.","compatibility":["V60"],"visualizer_hint":"pulse_block"},"equipment":{"dripper":{"model":"V60","material":"Plastic"},"filter_type":"Paper"},"ingredients":{"coffee_g":20.0,"water_g":330.0,"grind_setting":"Medium"},"protocol":[{"step":1,"action":"bloom","water_g":60,"duration_s":5,"notes":"Spiral pour for 60g bloom"},{"step":2,"action":"swirl","duration_s":10,"notes":"Rao Spin — aggressive swirl 5–7 revolutions to fully saturate the bed"},{"step":3,"action":"wait","duration_s":35,"notes":"Wait — total bloom 45s"},{"step":4,"action":"pour","water_g":135,"duration_s":30,"flow_rate":"fast","notes":"Pour to 195g total as fast as possible with a nearly vertical stream"},{"step":5,"action":"swirl","duration_s":5,"notes":"Gentle spin — 2 revolutions to fill ribbed channels"},{"step":6,"action":"wait","duration_s":45,"notes":"Wait until slurry is ~50% drained (visual check)"},{"step":7,"action":"pour","water_g":135,"duration_s":30,"flow_rate":"fast","notes":"Pour to 330g total — same fast, vertical technique"},{"step":8,"action":"swirl","duration_s":5,"notes":"Final gentle spin — 2 revolutions to level the bed and break channels"}],"slug":"scott-rao-v60"} - ])) + return Promise.resolve(jsonResponse(POUR_OVER_RECIPES)) } // GET /api/pour-over/preferences → stored preferences diff --git a/packages/core/package.json b/packages/core/package.json index 872a4d95..b3c738b4 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -36,7 +36,9 @@ "./routes/profileApply": "./src/routes/profileApply.ts", "./routes/profileDescription": "./src/routes/profileDescription.ts", "./routes/analyzeAndProfile": "./src/routes/analyzeAndProfile.ts", - "./ai/modelResolver": "./src/ai/modelResolver.ts" + "./ai/modelResolver": "./src/ai/modelResolver.ts", + "./data/recipes": "./src/data/recipes.ts", + "./routes/recipes": "./src/routes/recipes.ts" }, "scripts": { "test": "vitest run", diff --git a/packages/core/src/data/recipes.ts b/packages/core/src/data/recipes.ts new file mode 100644 index 00000000..52753b9d --- /dev/null +++ b/packages/core/src/data/recipes.ts @@ -0,0 +1,716 @@ +/** + * Bundled pour-over recipe library (single source of truth). + * + * Canonical data for GET /api/recipes, shared by the Node/Bun server and the + * browser/Capacitor runtime. Sorted alphabetically by name. The Python backend + * keeps its own copy under data/recipes/ only until it is removed in Phase 7. + */ + +export interface PourOverRecipe { + version: string; + metadata: { + name: string; + author: string; + description: string; + compatibility: string[]; + visualizer_hint?: string; + }; + equipment: Record; + ingredients: Record; + protocol: Array>; + slug: string; +} + +export const POUR_OVER_RECIPES: PourOverRecipe[] = [ + { + "version": "1.1.0", + "metadata": { + "name": "4:6 Method (Lighter)", + "author": "Tetsu Kasuya", + "description": "Lighter-bodied 4:6 with a single strength pour. First 40% (two pours of 60g) controls sweetness; final 60% (one pour of 180g) produces a lighter, cleaner cup. Use a coarse grind for clarity.", + "compatibility": [ + "V60", + "April", + "Origami" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Ceramic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 300.0, + "grind_setting": "Coarse" + }, + "protocol": [ + { + "step": 1, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "First pour — controls sweetness" + }, + { + "step": 2, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 3, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Second pour — controls sweetness" + }, + { + "step": 4, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 5, + "action": "pour", + "water_g": 180, + "duration_s": 45, + "notes": "Single combined strength pour to 300g total" + } + ], + "slug": "4-6-method-lighter" + }, + { + "version": "1.1.0", + "metadata": { + "name": "4:6 Method (Standard)", + "author": "Tetsu Kasuya", + "description": "Classic 4:6 with two equal strength pours. First 40% (two pours of 60g) controls sweetness; final 60% (two pours of 90g) controls strength. Use a coarse grind for clarity.", + "compatibility": [ + "V60", + "April", + "Origami" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Ceramic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 300.0, + "grind_setting": "Coarse" + }, + "protocol": [ + { + "step": 1, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "First pour — controls sweetness" + }, + { + "step": 2, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 3, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Second pour — controls sweetness" + }, + { + "step": 4, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 5, + "action": "pour", + "water_g": 90, + "duration_s": 20, + "notes": "Third pour — controls strength" + }, + { + "step": 6, + "action": "wait", + "duration_s": 60, + "notes": "Wait for the bed to drain" + }, + { + "step": 7, + "action": "pour", + "water_g": 90, + "duration_s": 20, + "notes": "Fourth pour — controls strength" + } + ], + "slug": "4-6-method-standard" + }, + { + "version": "1.1.0", + "metadata": { + "name": "4:6 Method (Stronger)", + "author": "Tetsu Kasuya", + "description": "Adjust sweetness with the first 40% of water (pours 1–2) and strength with the final 60% (pours 3–5). Use a coarse grind for clarity.", + "compatibility": [ + "V60", + "April", + "Origami" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Ceramic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 300.0, + "grind_setting": "Coarse" + }, + "protocol": [ + { + "step": 1, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "First pour — controls sweetness" + }, + { + "step": 2, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 3, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Second pour — controls sweetness" + }, + { + "step": 4, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 5, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Third pour — controls strength" + }, + { + "step": 6, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 7, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Fourth pour — controls strength" + }, + { + "step": 8, + "action": "wait", + "duration_s": 45, + "notes": "Wait for the bed to drain" + }, + { + "step": 9, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Fifth pour — controls strength" + } + ], + "slug": "4-6-method" + }, + { + "version": "1.1.0", + "metadata": { + "name": "Better 1-Cup V60", + "author": "James Hoffmann", + "description": "Better 1-Cup V60 technique. 50g bloom with a mid-bloom swirl, then four measured pours of 50g each with 10-second pauses, finished with a gentle swirl.", + "compatibility": [ + "V60" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Plastic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 15.0, + "water_g": 250.0, + "grind_setting": "Medium-Fine" + }, + "protocol": [ + { + "step": 1, + "action": "bloom", + "water_g": 50, + "duration_s": 10, + "notes": "Pour 50g to bloom" + }, + { + "step": 2, + "action": "swirl", + "duration_s": 5, + "notes": "Gently swirl at 10–15s" + }, + { + "step": 3, + "action": "wait", + "duration_s": 30, + "notes": "Finish bloom — wait until 0:45" + }, + { + "step": 4, + "action": "pour", + "water_g": 50, + "duration_s": 15, + "notes": "Pour to 100g total (40% weight)" + }, + { + "step": 5, + "action": "wait", + "duration_s": 10 + }, + { + "step": 6, + "action": "pour", + "water_g": 50, + "duration_s": 10, + "notes": "Pour to 150g total (60% weight)" + }, + { + "step": 7, + "action": "wait", + "duration_s": 10 + }, + { + "step": 8, + "action": "pour", + "water_g": 50, + "duration_s": 10, + "notes": "Pour to 200g total (80% weight)" + }, + { + "step": 9, + "action": "wait", + "duration_s": 10 + }, + { + "step": 10, + "action": "pour", + "water_g": 50, + "duration_s": 10, + "notes": "Pour to 250g total (100% weight)" + }, + { + "step": 11, + "action": "swirl", + "duration_s": 5, + "notes": "Gently swirl to flatten the bed" + }, + { + "step": 12, + "action": "wait", + "duration_s": 60, + "notes": "Allow to drain completely" + } + ], + "slug": "hoffmann-v2" + }, + { + "version": "1.1.0", + "metadata": { + "name": "Go-To V60", + "author": "Pierre Tymms / Nordic Brew Lab", + "description": "Reliable everyday V60 with three progressive pours building to a final large pour. Balanced extraction with a medium-coarse grind targeting 2:45–3:00 total brew time.", + "compatibility": [ + "V60", + "Origami", + "April" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Ceramic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 18.0, + "water_g": 300.0, + "grind_setting": "Medium-Coarse" + }, + "protocol": [ + { + "step": 1, + "action": "bloom", + "water_g": 60, + "duration_s": 15, + "notes": "Pour 60g to bloom — gentle spiral to saturate all grounds" + }, + { + "step": 2, + "action": "wait", + "duration_s": 15, + "notes": "Wait until 0:30 — let bloom degas" + }, + { + "step": 3, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Pour to 120g — steady centre pour" + }, + { + "step": 4, + "action": "wait", + "duration_s": 15, + "notes": "Wait until 1:00" + }, + { + "step": 5, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "notes": "Pour to 180g — steady centre pour" + }, + { + "step": 6, + "action": "wait", + "duration_s": 15, + "notes": "Wait until 1:30" + }, + { + "step": 7, + "action": "pour", + "water_g": 120, + "duration_s": 20, + "notes": "Pour to 300g — larger final pour, centre circles" + }, + { + "step": 8, + "action": "swirl", + "duration_s": 5, + "notes": "Gentle swirl to level the bed" + } + ], + "slug": "nordic-brew-lab-goto" + }, + { + "version": "1.1.0", + "metadata": { + "name": "God/Devil Switch", + "author": "Tetsu Kasuya", + "description": "Hario Switch recipe. Open-valve hot percolation for the first 120g, then close the valve for cool immersion to 280g. Requires a gooseneck kettle with adjustable temperature.", + "compatibility": [ + "Hario Switch" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "Switch", + "material": "Glass" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 280.0, + "grind_setting": "Medium-Fine" + }, + "protocol": [ + { + "step": 1, + "action": "pour", + "water_g": 60, + "duration_s": 15, + "valve_state": "open", + "notes": "Valve OPEN — pour 60g at 90°C" + }, + { + "step": 2, + "action": "wait", + "duration_s": 15, + "valve_state": "open", + "notes": "Wait — valve remains open, percolating" + }, + { + "step": 3, + "action": "pour", + "water_g": 60, + "duration_s": 20, + "valve_state": "open", + "notes": "Pour 60g more to 120g total — still at 90°C. Begin lowering kettle temperature to 70°C now." + }, + { + "step": 4, + "action": "wait", + "duration_s": 25, + "valve_state": "open", + "notes": "Wait until ~1:15. Ensure water is at 70°C before next step." + }, + { + "step": 5, + "action": "pour", + "water_g": 160, + "duration_s": 25, + "valve_state": "closed", + "notes": "CLOSE valve, then pour 160g at 70°C to 280g total — immersion phase begins" + }, + { + "step": 6, + "action": "wait", + "duration_s": 30, + "valve_state": "closed", + "notes": "Steep with valve closed" + }, + { + "step": 7, + "action": "wait", + "duration_s": 60, + "valve_state": "open", + "notes": "OPEN valve — drain. Aim to complete by 3-minute mark." + } + ], + "slug": "kasuya-god-devil" + }, + { + "version": "1.1.0", + "metadata": { + "name": "One and Done Double Bloom", + "author": "Lance Hedrick", + "description": "Double bloom technique for maximum extraction clarity. Two short blooms fully saturate the bed before a single aggressive centre pour. Grind finer than typical (target 2:00–2:30 draw down). Use 93–96°C for light roasts, 90–93°C for medium, lower for darker roasts. 1:15 ratio.", + "compatibility": [ + "V60", + "Origami", + "April" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Plastic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 15.0, + "water_g": 225.0, + "grind_setting": "Fine" + }, + "protocol": [ + { + "step": 1, + "action": "bloom", + "water_g": 45, + "duration_s": 10, + "flow_rate": "steady", + "notes": "Pour 45g (3× dose) at 5–10 ml/s — first bloom to wet all grounds" + }, + { + "step": 2, + "action": "wait", + "duration_s": 20, + "notes": "Wait until 0:30 — let first bloom degas" + }, + { + "step": 3, + "action": "pour", + "water_g": 45, + "duration_s": 10, + "flow_rate": "steady", + "notes": "Pour to 90g at 5–10 ml/s — second bloom for full saturation" + }, + { + "step": 4, + "action": "wait", + "duration_s": 20, + "notes": "Wait until 1:00 — let second bloom settle" + }, + { + "step": 5, + "action": "pour", + "water_g": 135, + "duration_s": 15, + "flow_rate": "fast", + "notes": "Pour to 225g at 9–10 ml/s in coin-sized circles in the centre — single aggressive main pour" + }, + { + "step": 6, + "action": "swirl", + "duration_s": 5, + "notes": "Gentle Rao spin to level the bed" + } + ], + "slug": "lance-hedrick-double-bloom" + }, + { + "version": "1.1.0", + "metadata": { + "name": "Single Pour", + "author": "Lance Hedrick", + "description": "Long bloom with wet WDT to fully saturate grounds, then one continuous pour. High extraction with minimal fines migration.", + "compatibility": [ + "V60" + ], + "visualizer_hint": "linear_ramp" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Plastic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 340.0, + "grind_setting": "Medium-Coarse" + }, + "protocol": [ + { + "step": 1, + "action": "bloom", + "water_g": 60, + "duration_s": 10, + "notes": "Pour 60g (3× dose) to saturate all grounds evenly" + }, + { + "step": 2, + "action": "stir", + "duration_s": 10, + "notes": "Wet WDT — stir through the grounds with a WDT tool or chopstick to break all dry pockets" + }, + { + "step": 3, + "action": "wait", + "duration_s": 80, + "notes": "Wait — total bloom ~1:40" + }, + { + "step": 4, + "action": "pour", + "water_g": 280, + "duration_s": 120, + "flow_rate": "steady", + "notes": "Single continuous centre pour to 340g — maintain height for turbulence. After draining, swirl if slow / wet WDT if somewhat quick / turn bed with spoon if draining fast." + } + ], + "slug": "lance-hedrick-single-pour" + }, + { + "version": "1.1.0", + "metadata": { + "name": "V60 Technique", + "author": "Scott Rao", + "description": "Centre-pour technique with an aggressive bloom spin (5–7 revolutions), two equal main pours separated by a 50%-drained wait, each followed by a gentle 2-revolution spin. Targets 22–24.5% extraction.", + "compatibility": [ + "V60" + ], + "visualizer_hint": "pulse_block" + }, + "equipment": { + "dripper": { + "model": "V60", + "material": "Plastic" + }, + "filter_type": "Paper" + }, + "ingredients": { + "coffee_g": 20.0, + "water_g": 330.0, + "grind_setting": "Medium" + }, + "protocol": [ + { + "step": 1, + "action": "bloom", + "water_g": 60, + "duration_s": 5, + "notes": "Spiral pour for 60g bloom" + }, + { + "step": 2, + "action": "swirl", + "duration_s": 10, + "notes": "Rao Spin — aggressive swirl 5–7 revolutions to fully saturate the bed" + }, + { + "step": 3, + "action": "wait", + "duration_s": 35, + "notes": "Wait — total bloom 45s" + }, + { + "step": 4, + "action": "pour", + "water_g": 135, + "duration_s": 30, + "flow_rate": "fast", + "notes": "Pour to 195g total as fast as possible with a nearly vertical stream" + }, + { + "step": 5, + "action": "swirl", + "duration_s": 5, + "notes": "Gentle spin — 2 revolutions to fill ribbed channels" + }, + { + "step": 6, + "action": "wait", + "duration_s": 45, + "notes": "Wait until slurry is ~50% drained (visual check)" + }, + { + "step": 7, + "action": "pour", + "water_g": 135, + "duration_s": 30, + "flow_rate": "fast", + "notes": "Pour to 330g total — same fast, vertical technique" + }, + { + "step": 8, + "action": "swirl", + "duration_s": 5, + "notes": "Final gentle spin — 2 revolutions to level the bed and break channels" + } + ], + "slug": "scott-rao-v60" + } +]; diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index acd947bf..8ba4a38f 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -13,6 +13,7 @@ import { handleHistoryRoutes } from "./routes/history"; import { handleShotsReadRoutes } from "./routes/shotsRead"; import { handleMachineCommandRoutes } from "./routes/machineCommands"; import { handleProfilesCrudRoutes } from "./routes/profilesCrud"; +import { handleRecipesRoutes } from "./routes/recipes"; /** * The single shared request handler for the unified TS core. @@ -71,5 +72,8 @@ export async function handle(req: Request, platform: Platform): Promise the full recipe list + * GET /api/recipes/{slug} -> a single recipe by slug (404 when unknown) + */ + +import type { Platform } from "../platform"; +import { jsonResponse, notFound } from "../http"; +import { POUR_OVER_RECIPES } from "../data/recipes"; + +export async function handleRecipesRoutes( + req: Request, + _platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + + if (pathname === "/api/recipes" && req.method === "GET") { + return jsonResponse(POUR_OVER_RECIPES); + } + + const slugMatch = pathname.match(/^\/api\/recipes\/([^/]+)$/); + if (slugMatch && req.method === "GET") { + const slug = decodeURIComponent(slugMatch[1]!); + const recipe = POUR_OVER_RECIPES.find((r) => r.slug === slug); + if (!recipe) return notFound(`Recipe not found: ${slug}`); + return jsonResponse(recipe); + } + + return null; +} diff --git a/packages/core/test/contract/recipes.test.ts b/packages/core/test/contract/recipes.test.ts new file mode 100644 index 00000000..6c1cc568 --- /dev/null +++ b/packages/core/test/contract/recipes.test.ts @@ -0,0 +1,33 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; +import { POUR_OVER_RECIPES } from "../../src/data/recipes"; + +function get(path: string): Request { + return new Request(`http://x${path}`, { method: "GET" }); +} + +describe("recipes: GET /api/recipes", () => { + test("returns the full bundled library, sorted by name", async () => { + const body = await (await handle(get("/api/recipes"), makeMockPlatform())).json(); + expect(Array.isArray(body)).toBe(true); + expect(body.length).toBe(POUR_OVER_RECIPES.length); + const names = body.map((r: { metadata: { name: string } }) => r.metadata.name); + expect(names).toEqual([...names].sort((a, b) => a.localeCompare(b))); + expect(body[0]).toHaveProperty("slug"); + expect(body[0]).toHaveProperty("protocol"); + }); +}); + +describe("recipes: GET /api/recipes/{slug}", () => { + test("returns a single recipe by slug", async () => { + const slug = POUR_OVER_RECIPES[0]!.slug; + const body = await (await handle(get(`/api/recipes/${slug}`), makeMockPlatform())).json(); + expect(body.slug).toBe(slug); + }); + + test("404 for an unknown slug", async () => { + const res = await handle(get("/api/recipes/does-not-exist"), makeMockPlatform()); + expect(res.status).toBe(404); + }); +}); From 7a10e4e427eae60580dd40be96abc25bffdbb268 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 00:34:36 +0200 Subject: [PATCH 30/62] fix(server): serve config.json with an empty serverUrl The built config.json ships a dev serverUrl (http://localhost:8000) that points at a dead host in production. The legacy nginx deployment rewrote it to an empty string so the SPA talks to its own origin over relative URLs. The Bun server now does the same: GET /config.json returns {"serverUrl":""} regardless of the build artifact. Adds a booted-server test and live-verified through the Bun server. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/server.ts | 10 +++++++ apps/bun-server/test/configJson.test.ts | 36 +++++++++++++++++++++++++ 2 files changed, 46 insertions(+) create mode 100644 apps/bun-server/test/configJson.test.ts diff --git a/apps/bun-server/src/server.ts b/apps/bun-server/src/server.ts index 32b38fe1..38507d1e 100644 --- a/apps/bun-server/src/server.ts +++ b/apps/bun-server/src/server.ts @@ -72,6 +72,16 @@ export function createServer(options: CreateServerOptions = {}): Server return handle(request, platform); } + // The Bun server IS the frontend origin, so the app must talk to it via + // same-origin relative URLs. Override the build-time config.json (which + // ships a dev serverUrl) with an empty serverUrl. Mirrors the behaviour + // the legacy nginx deployment provided. + if (pathname === "/config.json") { + return new Response(JSON.stringify({ serverUrl: "" }), { + headers: { "content-type": "application/json; charset=utf-8", "cache-control": "no-cache" }, + }); + } + return serveStatic(pathname); }, diff --git a/apps/bun-server/test/configJson.test.ts b/apps/bun-server/test/configJson.test.ts new file mode 100644 index 00000000..94ce8d5e --- /dev/null +++ b/apps/bun-server/test/configJson.test.ts @@ -0,0 +1,36 @@ +import { describe, test, expect, afterEach } from "bun:test"; +import { createServer } from "../src/server.ts"; +import type { Platform } from "@metic/core/platform"; +import type { Server } from "bun"; + +function fakePlatform(): Platform { + return { + storage: {} as Platform["storage"], + secrets: { getAIConfig: () => ({ provider: "gemini", apiKey: "" }) }, + machine: { getBaseUrl: () => "", fetch: async () => new Response(null) }, + ai: { isConfigured: () => false, generateText: async () => ({ text: "" }) }, + clock: () => 0, + logger: { info() {}, error() {}, debug() {} }, + }; +} + +let server: Server | undefined; + +afterEach(() => { + server?.stop(true); + server = undefined; +}); + +describe("config.json override", () => { + test("serves an empty serverUrl so the app talks to the Bun origin", async () => { + server = createServer({ + port: 0, + platform: fakePlatform(), + staticDir: "/nonexistent-static-dir", + }) as unknown as Server; + const res = await fetch(`http://localhost:${server.port}/config.json`); + expect(res.status).toBe(200); + expect(res.headers.get("content-type")).toContain("application/json"); + expect(await res.json()).toEqual({ serverUrl: "" }); + }); +}); From 0656aaf78ec84cadd543234ee5b9f0dc31bf227b Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 00:49:34 +0200 Subject: [PATCH 31/62] feat(core): port profile image-proxy route into @metic/core The unified Bun server serves the SPA same-origin (proxy mode), so the catalogue requests /api/profile/{name}/image-proxy against core. Core lacked the route and leaked the notFound message, breaking profile images and logging console 404s. Ports the server + native oracle: resolve the profile by name, fetch the image from the machine (data: URI decode or machine-relative path), cache the bytes in the Platform blob store, and degrade to a placeholder SVG when the profile or image is missing. Adds a full-app Playwright sweep spec that flags any core notFound leak across the main views. Live-verified against machine 192.168.50.168: real JPEG returned, placeholder for missing profiles, cached second hit. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/e2e/fullapp-sweep.spec.ts | 99 +++++++++++++++ packages/core/src/routes/profilesCrud.ts | 120 ++++++++++++++++++ .../core/test/contract/profilesCrud.test.ts | 120 ++++++++++++++++++ 3 files changed, 339 insertions(+) create mode 100644 apps/web/e2e/fullapp-sweep.spec.ts diff --git a/apps/web/e2e/fullapp-sweep.spec.ts b/apps/web/e2e/fullapp-sweep.spec.ts new file mode 100644 index 00000000..4cddfb55 --- /dev/null +++ b/apps/web/e2e/fullapp-sweep.spec.ts @@ -0,0 +1,99 @@ +import { test, expect } from '@playwright/test' + +/** + * Full-app sweep against the unified Bun server (3.0.0). + * + * Loads the SPA in proxy mode (served same-origin by the Bun server) and + * exercises the main views, collecting console errors and failed /api + * responses. Any response whose body contains the core notFound message + * ("No route for") is a release-blocking coverage gap. + * + * Run against a served app: + * BASE_URL=http://localhost:35590 bunx playwright test e2e/fullapp-sweep.spec.ts --project=chromium + */ + +const BASE = process.env.BASE_URL || 'http://localhost:35590' + +interface ApiIssue { + url: string + status: number + bodySnippet: string + noRoute: boolean +} + +test.describe('Full-app sweep (unified Bun server)', () => { + test.use({ baseURL: BASE }) + + test('main views load without console errors or uncovered /api routes', async ({ page }) => { + const consoleErrors: string[] = [] + const apiIssues: ApiIssue[] = [] + + page.on('console', (msg) => { + if (msg.type() === 'error') consoleErrors.push(msg.text()) + }) + page.on('pageerror', (err) => { + consoleErrors.push(`pageerror: ${err.message}`) + }) + + page.on('response', async (res) => { + const url = res.url() + if (!/\/api\//.test(url)) return + // The transparent machine proxy (/api/v1/*) can legitimately 4xx. + if (/\/api\/v\d+\//.test(url)) return + const status = res.status() + if (status < 400) return + let body = '' + try { + body = await res.text() + } catch { + body = '' + } + apiIssues.push({ + url, + status, + bodySnippet: body.slice(0, 200), + noRoute: body.includes('No route for'), + }) + }) + + await page.goto('/') + await page.waitForLoadState('networkidle') + + // Give initial-mount hooks (settings, status, profiles, history) time to fire. + await page.waitForTimeout(2000) + + // Navigate the primary views by clicking any visible top-level nav/tab controls. + const navCandidates = [ + /History/i, + /Profiles/i, + /Catalogue/i, + /Pour.?over/i, + /Dial.?in/i, + /Control/i, + /Settings/i, + /Live/i, + ] + for (const rx of navCandidates) { + const btn = page.getByRole('button', { name: rx }).first() + if (await btn.isVisible().catch(() => false)) { + await btn.click().catch(() => {}) + await page.waitForTimeout(800) + } + } + + await page.waitForLoadState('networkidle').catch(() => {}) + await page.waitForTimeout(1000) + + const noRoute = apiIssues.filter((i) => i.noRoute) + + // Report everything for diagnosis. + console.log('=== API ISSUES (status>=400, non-proxy) ===') + for (const i of apiIssues) { + console.log(`${i.status} ${i.url}${i.noRoute ? ' <<< NO ROUTE' : ''} ${i.bodySnippet}`) + } + console.log('=== CONSOLE ERRORS ===') + for (const e of consoleErrors) console.log(e) + + expect(noRoute, `Uncovered core routes: ${noRoute.map((i) => i.url).join(', ')}`).toEqual([]) + }) +}) diff --git a/packages/core/src/routes/profilesCrud.ts b/packages/core/src/routes/profilesCrud.ts index d0567491..c0f6f698 100644 --- a/packages/core/src/routes/profilesCrud.ts +++ b/packages/core/src/routes/profilesCrud.ts @@ -23,6 +23,7 @@ * GET /api/machine/profiles/orphaned * GET /api/machine/profile/{id}/json * GET /api/profile/{name}/target-curves + * GET /api/profile/{name}/image-proxy * PUT /api/profile/{name}/edit * GET /api/profile/{name} * GET /api/profiles/sync/status @@ -57,6 +58,57 @@ function sleep(ms: number): Promise { return new Promise((resolve) => setTimeout(resolve, ms)); } +/** Placeholder returned when a profile has no image (avoids console 404s). */ +const PLACEHOLDER_SVG = ` + + + + +`; + +function imageResponse(bytes: Uint8Array, contentType: string): Response { + return new Response(bytes as unknown as BodyInit, { + status: 200, + headers: { "Content-Type": contentType }, + }); +} + +function placeholderImageResponse(): Response { + return new Response(PLACEHOLDER_SVG, { + status: 200, + headers: { "Content-Type": "image/svg+xml" }, + }); +} + +function base64Decode(encoded: string): Uint8Array | null { + try { + if (typeof atob === "function") { + const binary = atob(encoded); + const bytes = new Uint8Array(binary.length); + for (let i = 0; i < binary.length; i++) bytes[i] = binary.charCodeAt(i); + return bytes; + } + const buf = (globalThis as { Buffer?: { from(s: string, e: string): Uint8Array } }).Buffer; + if (buf) return new Uint8Array(buf.from(encoded, "base64")); + } catch { + /* fall through */ + } + return null; +} + +/** Decode a base64 `data:image/*;base64,...` URI. Returns null when malformed. */ +function parseDataImageUri(uri: string): { mimeType: string; bytes: Uint8Array } | null { + const commaIdx = uri.indexOf(","); + if (commaIdx === -1) return null; + const header = uri.slice(0, commaIdx); + const encoded = uri.slice(commaIdx + 1); + if (!header.endsWith(";base64") || !header.startsWith("data:image/")) return null; + const mimeType = header.slice(5, header.length - 7).trim().toLowerCase(); + if (!mimeType.startsWith("image/")) return null; + const bytes = base64Decode(encoded); + return bytes ? { mimeType, bytes } : null; +} + async function machineOk(platform: Platform, path: string, init?: RequestInit): Promise { try { return (await platform.machine.fetch(path, init)).ok; @@ -503,6 +555,74 @@ export async function handleProfilesCrudRoutes( return jsonResponse({ success: ok }, ok ? 200 : 502); } + // GET /api/profile/{name}/image-proxy → fetch the profile image from the + // machine and return the bytes, so the SPA never needs the machine IP. + // Mirrors apps/server/api/routes/profiles.py + the native interceptor: the + // image path may be a data: URI or a machine-relative path; missing images + // degrade to a placeholder SVG (avoids browser console errors). + const imageProxyMatch = pathname.match(/^\/api\/profile\/([^/]+)\/image-proxy$/); + if (imageProxyMatch && method === "GET") { + const name = decodeURIComponent(imageProxyMatch[1]!); + const forceRefresh = url.searchParams.get("force_refresh") === "true"; + const cacheKey = `image-proxy:${name}`; + try { + if (!forceRefresh) { + const cached = await platform.storage.images.read(cacheKey); + if (cached) return imageResponse(cached, "image/png"); + } + + let profile = await findProfileByName(platform, name); + if (!profile) return placeholderImageResponse(); + + // The list omits stages/display for some entries; fetch the full profile + // so display.image is present. + let imagePath = profileImagePath(profile); + if (!imagePath) { + try { + const fullResp = await platform.machine.fetch(`/api/v1/profile/get/${profile.id}`); + if (fullResp.ok) { + const full = (await fullResp.json()) as MachineProfile; + if (full && typeof full.id === "string") profile = full; + imagePath = profileImagePath(profile); + } + } catch { + /* fall through to placeholder */ + } + } + if (!imagePath) return placeholderImageResponse(); + + if (imagePath.startsWith("data:image/")) { + const parsed = parseDataImageUri(imagePath); + if (!parsed) return placeholderImageResponse(); + await platform.storage.images.write(cacheKey, parsed.bytes); + return imageResponse(parsed.bytes, parsed.mimeType); + } + + // Absolute machine URLs are reduced to their path so machine.fetch can + // join them onto the resolved base URL uniformly across hosts. + let fetchPath = imagePath; + if (/^https?:\/\//i.test(imagePath)) { + try { + const parsedUrl = new URL(imagePath); + fetchPath = `${parsedUrl.pathname}${parsedUrl.search}`; + } catch { + return placeholderImageResponse(); + } + } + + const imgResp = await platform.machine.fetch(fetchPath); + if (!imgResp.ok) return placeholderImageResponse(); + const bytes = new Uint8Array(await imgResp.arrayBuffer()); + const rawType = imgResp.headers.get("content-type") ?? ""; + const mediaType = rawType.split(";", 1)[0]!.trim(); + const contentType = mediaType.startsWith("image/") ? mediaType : "image/png"; + await platform.storage.images.write(cacheKey, bytes); + return imageResponse(bytes, contentType); + } catch { + return placeholderImageResponse(); + } + } + // GET /api/profile/{name}/target-curves const targetCurvesMatch = pathname.match(/^\/api\/profile\/([^/]+)\/target-curves$/); if (targetCurvesMatch && method === "GET") { diff --git a/packages/core/test/contract/profilesCrud.test.ts b/packages/core/test/contract/profilesCrud.test.ts index 297c48c9..6b25ed1e 100644 --- a/packages/core/test/contract/profilesCrud.test.ts +++ b/packages/core/test/contract/profilesCrud.test.ts @@ -426,3 +426,123 @@ describe("profiles-crud: sync + orphaned + profile json", () => { expect(body.profile).toEqual({ id: "p1", name: "Turbo" }); }); }); + +describe("profiles-crud: image-proxy", () => { + const PNG_BYTES = new Uint8Array([0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a]); + + /** A machine that serves the profile list plus a binary image at a path. */ + function imageMachine( + list: unknown[], + fullById: Record = {}, + imageByPath: Record = {}, + ): Platform["machine"] { + return { + getBaseUrl: () => "http://machine.test:8080", + fetch: async (path: string) => { + const pathname = path.startsWith("http") ? new URL(path).pathname : path.split("?")[0]!; + if (pathname === "/api/v1/profile/list") { + return new Response(JSON.stringify(list), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + const getMatch = pathname.match(/^\/api\/v1\/profile\/get\/(.+)$/); + if (getMatch && fullById[getMatch[1]!]) { + return new Response(JSON.stringify(fullById[getMatch[1]!]), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + if (imageByPath[pathname]) { + const { bytes, contentType } = imageByPath[pathname]!; + return new Response(bytes as unknown as BodyInit, { + status: 200, + headers: { "content-type": contentType }, + }); + } + return new Response(JSON.stringify({ detail: "not found" }), { + status: 404, + headers: { "content-type": "application/json" }, + }); + }, + }; + } + + test("fetches a machine-relative image and returns the bytes", async () => { + const p = makeMockPlatform({ + machine: imageMachine( + [{ id: "p1", name: "Turbo", display: { image: "/images/turbo.png" } }], + {}, + { "/images/turbo.png": { bytes: PNG_BYTES, contentType: "image/png" } }, + ), + }); + const res = await handle(get("/api/profile/Turbo/image-proxy"), p); + expect(res.status).toBe(200); + expect(res.headers.get("Content-Type")).toBe("image/png"); + expect(new Uint8Array(await res.arrayBuffer())).toEqual(PNG_BYTES); + }); + + test("fetches the full profile when the list entry lacks an image", async () => { + const p = makeMockPlatform({ + machine: imageMachine( + [{ id: "p1", name: "Turbo" }], + { p1: { id: "p1", name: "Turbo", display: { image: "/images/turbo.png" } } }, + { "/images/turbo.png": { bytes: PNG_BYTES, contentType: "image/png" } }, + ), + }); + const res = await handle(get("/api/profile/Turbo/image-proxy"), p); + expect(res.status).toBe(200); + expect(new Uint8Array(await res.arrayBuffer())).toEqual(PNG_BYTES); + }); + + test("decodes a data: URI image", async () => { + // "data:image/png;base64," + base64 of the PNG_BYTES signature + const b64 = "iVBORw0KGgo="; + const p = makeMockPlatform({ + machine: imageMachine([ + { id: "p1", name: "Turbo", display: { image: `data:image/png;base64,${b64}` } }, + ]), + }); + const res = await handle(get("/api/profile/Turbo/image-proxy"), p); + expect(res.status).toBe(200); + expect(res.headers.get("Content-Type")).toBe("image/png"); + expect(new Uint8Array(await res.arrayBuffer())).toEqual(PNG_BYTES); + }); + + test("returns a placeholder SVG when the profile is missing", async () => { + const p = makeMockPlatform({ machine: imageMachine([]) }); + const res = await handle(get("/api/profile/Ghost/image-proxy"), p); + expect(res.status).toBe(200); + expect(res.headers.get("Content-Type")).toBe("image/svg+xml"); + expect(await res.text()).toContain(" { + const p = makeMockPlatform({ + machine: imageMachine([{ id: "p1", name: "Turbo" }], { p1: { id: "p1", name: "Turbo" } }), + }); + const res = await handle(get("/api/profile/Turbo/image-proxy"), p); + expect(res.status).toBe(200); + expect(res.headers.get("Content-Type")).toBe("image/svg+xml"); + }); + + test("serves a cached image on the second request without refetching", async () => { + let fetchCount = 0; + const base = imageMachine( + [{ id: "p1", name: "Turbo", display: { image: "/images/turbo.png" } }], + {}, + { "/images/turbo.png": { bytes: PNG_BYTES, contentType: "image/png" } }, + ); + const counting: Platform["machine"] = { + getBaseUrl: base.getBaseUrl, + fetch: async (path, init) => { + if (path.includes("/images/")) fetchCount++; + return base.fetch(path, init); + }, + }; + const p = makeMockPlatform({ machine: counting }); + await handle(get("/api/profile/Turbo/image-proxy"), p); + await handle(get("/api/profile/Turbo/image-proxy"), p); + expect(fetchCount).toBe(1); + }); +}); From 5a001ebb5720174c6e8cf4d48f55dcea33a4430a Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 01:00:23 +0200 Subject: [PATCH 32/62] feat(core): cover remaining proxy-mode routes (update status, scheduling, auto-sync) The unified Bun server serves the SPA in proxy mode, where PROXY_FLAGS enable update-checking, scheduling, and cloud-sync. Those routes leaked the core notFound message (breaking the update card + the scheduling view, logging console errors). - /api/status + POST /api/check-updates: real GitHub Releases version comparison (ported from the Python oracle), with a safe fallback when GitHub is unreachable. - POST /api/trigger-update: honest 503 (the unified image has no Watchtower; updates are applied by pulling a new image). - scheduling family (routes/scheduling.ts): reads return empty success so the UI loads cleanly; mutations return an explicit 501 rather than silently failing to fire, which would be hazardous. Auto-firing shots needs time-based on-device verification and stays scoped to Phase 5. This mirrors the native runtime, where scheduled shots are unsupported. - POST /api/profiles/auto-sync: no-op success (profiles live on the machine; there is no separate library to import into). - POST /api/tailscale/configure: 501 (Tailscale bring-up is Phase 5). Live-verified against machine 192.168.50.168: /api/status compares 3.0.0-rc.1 to the latest GitHub release; every previously-uncovered route now returns a well-formed response (no notFound leak). Playwright full-app sweep is clean (zero console errors, zero uncovered routes). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/handler.ts | 4 + packages/core/src/routes/profilesCrud.ts | 23 ++- packages/core/src/routes/scheduling.ts | 62 ++++++++ packages/core/src/routes/system.ts | 133 +++++++++++++++++- .../core/test/contract/profilesCrud.test.ts | 11 ++ .../core/test/contract/scheduling.test.ts | 62 ++++++++ packages/core/test/contract/system.test.ts | 75 ++++++++++ 7 files changed, 365 insertions(+), 5 deletions(-) create mode 100644 packages/core/src/routes/scheduling.ts create mode 100644 packages/core/test/contract/scheduling.test.ts diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index 8ba4a38f..ae451022 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -14,6 +14,7 @@ import { handleShotsReadRoutes } from "./routes/shotsRead"; import { handleMachineCommandRoutes } from "./routes/machineCommands"; import { handleProfilesCrudRoutes } from "./routes/profilesCrud"; import { handleRecipesRoutes } from "./routes/recipes"; +import { handleSchedulingRoutes } from "./routes/scheduling"; /** * The single shared request handler for the unified TS core. @@ -75,5 +76,8 @@ export async function handle(req: Request, platform: Platform): Promise`; function imageResponse(bytes: Uint8Array, contentType: string): Response { - return new Response(bytes as unknown as BodyInit, { + // Uint8Array is a valid Response body at runtime on every host, but the DOM + // and Bun type libs disagree on the exact BodyInit shape; cast through the + // Response constructor's own parameter type to stay lib-agnostic. + type ResponseBody = ConstructorParameters[0]; + return new Response(bytes as unknown as ResponseBody, { status: 200, headers: { "Content-Type": contentType }, }); @@ -788,5 +793,21 @@ export async function handleProfilesCrudRoutes( return jsonResponse({ status: "success", new: [], updated: [], orphaned: [] }); } + // POST /api/profiles/auto-sync + // Profiles live on the machine and the SPA reads them directly, so there is + // no separate library to import into: auto-sync is a no-op success. Prevents + // a core notFound leak when the (opt-in, default-off) auto-sync preference is + // enabled in proxy mode. + if (pathname === "/api/profiles/auto-sync" && method === "POST") { + return jsonResponse({ + status: "success", + imported: [], + updated: [], + orphaned: [], + imported_count: 0, + updated_count: 0, + }); + } + return null; } diff --git a/packages/core/src/routes/scheduling.ts b/packages/core/src/routes/scheduling.ts new file mode 100644 index 00000000..2e8fa7fb --- /dev/null +++ b/packages/core/src/routes/scheduling.ts @@ -0,0 +1,62 @@ +/** + * Machine scheduling routes (recurring schedules + one-off scheduled shots). + * + * The unified server does not yet run a background shot-firing scheduler: + * auto-firing espresso shots requires time-based on-device verification and is + * scoped to a later phase. Reads return empty result sets so the scheduling UI + * loads cleanly (no console errors, no core notFound leak), while mutations + * return an honest 501 rather than silently failing to fire, which would be a + * real-world hazard. This mirrors the native runtime, where scheduled shots are + * explicitly unsupported (DirectModeInterceptor returns 501 for schedule-shot). + * + * Routes: + * GET /api/machine/recurring-schedules + * POST /api/machine/recurring-schedules + * PUT /api/machine/recurring-schedules/{id} + * DELETE /api/machine/recurring-schedules/{id} + * GET /api/machine/scheduled-shots + * DELETE /api/machine/schedule-shot/{id} + * + * (POST /api/machine/schedule-shot is owned by the machine-commands family.) + */ + +import type { Platform } from "../platform"; +import { jsonResponse } from "../http"; + +const UNSUPPORTED_MESSAGE = + "Scheduled shots are not yet available on this server. Use the machine UI to schedule shots."; + +function unsupported(): Response { + return jsonResponse({ status: "error", detail: UNSUPPORTED_MESSAGE }, 501); +} + +export async function handleSchedulingRoutes( + req: Request, + _platform: Platform, +): Promise { + const { pathname } = new URL(req.url); + const method = req.method; + + if (pathname === "/api/machine/recurring-schedules") { + if (method === "GET") { + return jsonResponse({ status: "success", recurring_schedules: [] }); + } + if (method === "POST") return unsupported(); + } + + const recurringByIdMatch = pathname.match(/^\/api\/machine\/recurring-schedules\/([^/]+)$/); + if (recurringByIdMatch && (method === "PUT" || method === "DELETE")) { + return unsupported(); + } + + if (pathname === "/api/machine/scheduled-shots" && method === "GET") { + return jsonResponse({ status: "success", scheduled_shots: [] }); + } + + const scheduleShotByIdMatch = pathname.match(/^\/api\/machine\/schedule-shot\/([^/]+)$/); + if (scheduleShotByIdMatch && method === "DELETE") { + return unsupported(); + } + + return null; +} diff --git a/packages/core/src/routes/system.ts b/packages/core/src/routes/system.ts index f8fb05ae..63031953 100644 --- a/packages/core/src/routes/system.ts +++ b/packages/core/src/routes/system.ts @@ -20,8 +20,10 @@ * GET /api/version -> app version + runtime mode * GET /api/available-models -> served text models (live discovery + fallback) * GET /api/changelog -> recent GitHub releases (best-effort) + * GET /api/status | POST /api/check-updates -> update availability (GitHub) * GET /api/update-method / /api/tailscale-status -> admin stubs - * /api/check-updates | /restart | /beta-channel | /feedback -> 501 + * POST /api/trigger-update -> 503 (no Watchtower in the unified image) + * /api/restart | /beta-channel | /feedback -> 501 */ import type { Platform } from "../platform"; @@ -31,6 +33,104 @@ import { STATIC_FALLBACK_MODELS } from "../ai/modelResolver"; const SETTINGS_KEY = "settings"; const DEFAULT_GEMINI_MODEL = "gemini-2.5-flash"; +const GITHUB_RELEASES_URL = + "https://api.github.com/repos/hessius/MeticAI/releases?per_page=30"; + +/** Parse a semver like "2.1.0" into a comparable numeric tuple (pre-release stripped). */ +function versionTuple(v: string): [number, number, number] { + const bare = v.replace(/^v/, "").split("-")[0]!; + const parts = bare.split(".").map((p) => Number.parseInt(p, 10)); + return [parts[0] || 0, parts[1] || 0, parts[2] || 0]; +} + +function isPrerelease(v: string): boolean { + return /-(beta|alpha|rc)/i.test(v.replace(/^v/, "")); +} + +function gtVersion(a: string, b: string): boolean { + const ta = versionTuple(a); + const tb = versionTuple(b); + for (let i = 0; i < 3; i++) { + if (ta[i]! > tb[i]!) return true; + if (ta[i]! < tb[i]!) return false; + } + return false; +} + +interface UpdateStatus { + update_available: boolean; + latest_version: string; + current_version: string; + last_check: string; + release_url: string | null; + latest_stable_version: string | null; + latest_beta_version: string | null; + error?: string; +} + +/** + * Query the GitHub Releases API for the latest stable/beta versions and + * compare against the running version. Mirrors the Python + * `_fetch_latest_release`. Best-effort: returns a safe fallback on any error. + */ +async function fetchUpdateStatus(currentVersion: string): Promise { + const now = new Date().toISOString(); + try { + const resp = await fetch(GITHUB_RELEASES_URL, { + signal: AbortSignal.timeout(10000), + headers: { Accept: "application/vnd.github+json" }, + }); + if (resp.ok) { + const releases = (await resp.json()) as Array<{ + tag_name?: string; + prerelease?: boolean; + html_url?: string; + }>; + let latestStable: string | null = null; + let latestBeta: string | null = null; + let releaseUrl: string | null = null; + for (const release of releases) { + const tag = (release.tag_name || "").replace(/^v/, ""); + if (!tag) continue; + const pre = release.prerelease || isPrerelease(tag); + if (pre) { + if (latestBeta === null) latestBeta = tag; + } else if (latestStable === null) { + latestStable = tag; + releaseUrl = release.html_url || null; + } + if (latestStable && latestBeta) break; + } + const latestVersion = latestStable || ""; + const updateAvailable = + latestVersion !== "" && + currentVersion !== "unknown" && + gtVersion(latestVersion, currentVersion); + return { + update_available: updateAvailable, + latest_version: latestVersion, + current_version: currentVersion, + last_check: now, + release_url: releaseUrl, + latest_stable_version: latestStable, + latest_beta_version: latestBeta, + }; + } + } catch { + /* fall through to safe fallback */ + } + return { + update_available: false, + latest_version: "", + current_version: currentVersion, + last_check: now, + release_url: null, + latest_stable_version: null, + latest_beta_version: null, + error: "Could not reach GitHub API", + }; +} + /** Extract the bare host from a machine base URL (e.g. http://1.2.3.4:8080 -> 1.2.3.4). */ function machineHost(baseUrl: string): string { if (!baseUrl) return ""; @@ -173,11 +273,36 @@ export async function handleSystemRoutes( if (pathname === "/api/tailscale-status" && req.method === "GET") { return jsonResponse({ enabled: false, installed: false }); } + // GET /api/status -> update availability via the GitHub Releases API. + if (pathname === "/api/status" && req.method === "GET") { + return jsonResponse(await fetchUpdateStatus(platform.appVersion || "unknown")); + } + + // POST /api/check-updates -> a fresh update check (same source, fresh_check flag). + if (pathname === "/api/check-updates" && req.method === "POST") { + const status = await fetchUpdateStatus(platform.appVersion || "unknown"); + return jsonResponse({ ...status, fresh_check: true }); + } + + // POST /api/trigger-update -> the unified image has no Watchtower; updates are + // applied by pulling a new image. Mirror Python's no-Watchtower 503 response. + if (pathname === "/api/trigger-update" && req.method === "POST") { + return jsonResponse( + { + status: "error", + error: "Watchtower not available", + message: + "Automatic updates require Watchtower. Update manually with: docker compose pull && docker compose up -d", + }, + 503, + ); + } + if ( - (pathname === "/api/check-updates" || - pathname === "/api/restart" || + (pathname === "/api/restart" || pathname === "/api/beta-channel" || - pathname === "/api/feedback") && + pathname === "/api/feedback" || + pathname === "/api/tailscale/configure") && (req.method === "GET" || req.method === "POST") ) { return jsonResponse( diff --git a/packages/core/test/contract/profilesCrud.test.ts b/packages/core/test/contract/profilesCrud.test.ts index 6b25ed1e..ee03b17f 100644 --- a/packages/core/test/contract/profilesCrud.test.ts +++ b/packages/core/test/contract/profilesCrud.test.ts @@ -546,3 +546,14 @@ describe("profiles-crud: image-proxy", () => { expect(fetchCount).toBe(1); }); }); + +describe("profiles-crud: auto-sync", () => { + test("auto-sync is a no-op success envelope (no notFound leak)", async () => { + const res = await handle(jsonReq("/api/profiles/auto-sync", "POST", { ai_description: false }), makeMockPlatform()); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body.status).toBe("success"); + expect(body.imported_count).toBe(0); + expect(body.updated_count).toBe(0); + }); +}); diff --git a/packages/core/test/contract/scheduling.test.ts b/packages/core/test/contract/scheduling.test.ts new file mode 100644 index 00000000..a6e15793 --- /dev/null +++ b/packages/core/test/contract/scheduling.test.ts @@ -0,0 +1,62 @@ +import { describe, test, expect } from "vitest"; +import { makeMockPlatform } from "../mockPlatform"; +import { handle } from "../../src/handler"; + +function req(path: string, method: string): Request { + return new Request(`http://x${path}`, { method }); +} + +describe("scheduling: reads load cleanly, mutations 501", () => { + test("GET recurring-schedules returns an empty success envelope", async () => { + const res = await handle(req("/api/machine/recurring-schedules", "GET"), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ status: "success", recurring_schedules: [] }); + }); + + test("GET scheduled-shots returns an empty success envelope", async () => { + const res = await handle(req("/api/machine/scheduled-shots", "GET"), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ status: "success", scheduled_shots: [] }); + }); + + test("POST recurring-schedules is 501 (not silently accepted)", async () => { + const res = await handle(req("/api/machine/recurring-schedules", "POST"), makeMockPlatform()); + expect(res.status).toBe(501); + expect((await res.json()).status).toBe("error"); + }); + + test("PUT recurring-schedules/{id} is 501", async () => { + const res = await handle(req("/api/machine/recurring-schedules/abc", "PUT"), makeMockPlatform()); + expect(res.status).toBe(501); + }); + + test("DELETE recurring-schedules/{id} is 501", async () => { + const res = await handle(req("/api/machine/recurring-schedules/abc", "DELETE"), makeMockPlatform()); + expect(res.status).toBe(501); + }); + + test("POST schedule-shot is 501 (owned by machine-commands)", async () => { + const res = await handle(req("/api/machine/schedule-shot", "POST"), makeMockPlatform()); + expect(res.status).toBe(501); + }); + + test("DELETE schedule-shot/{id} is 501", async () => { + const res = await handle(req("/api/machine/schedule-shot/abc", "DELETE"), makeMockPlatform()); + expect(res.status).toBe(501); + }); + + test("no scheduling path leaks the core notFound message", async () => { + for (const [path, method] of [ + ["/api/machine/recurring-schedules", "GET"], + ["/api/machine/recurring-schedules", "POST"], + ["/api/machine/recurring-schedules/x", "PUT"], + ["/api/machine/recurring-schedules/x", "DELETE"], + ["/api/machine/scheduled-shots", "GET"], + ["/api/machine/schedule-shot", "POST"], + ["/api/machine/schedule-shot/x", "DELETE"], + ] as const) { + const body = await (await handle(req(path, method), makeMockPlatform())).text(); + expect(body).not.toContain("No route for"); + } + }); +}); diff --git a/packages/core/test/contract/system.test.ts b/packages/core/test/contract/system.test.ts index 3c2f2843..a4e0a1be 100644 --- a/packages/core/test/contract/system.test.ts +++ b/packages/core/test/contract/system.test.ts @@ -162,3 +162,78 @@ describe("system: admin stubs", () => { expect(res.status).toBe(501); }); }); + +describe("system: update status", () => { + const RELEASES = [ + { tag_name: "v9.9.9", prerelease: false, html_url: "https://gh/9.9.9" }, + { tag_name: "v9.9.9-beta.1", prerelease: true, html_url: "https://gh/beta" }, + ]; + + function withStubbedFetch(releases: unknown, run: () => Promise): Promise { + const original = globalThis.fetch; + globalThis.fetch = (async () => + new Response(JSON.stringify(releases), { + status: 200, + headers: { "content-type": "application/json" }, + })) as typeof fetch; + return run().finally(() => { + globalThis.fetch = original; + }); + } + + test("GET /api/status reports an available update when GitHub is ahead", async () => { + const p = makeMockPlatform({ appVersion: "1.0.0" }); + const body = await withStubbedFetch(RELEASES, async () => + (await handle(get("/api/status"), p)).json(), + ); + expect(body.update_available).toBe(true); + expect(body.current_version).toBe("1.0.0"); + expect(body.latest_stable_version).toBe("9.9.9"); + expect(body.latest_beta_version).toBe("9.9.9-beta.1"); + expect(body.release_url).toBe("https://gh/9.9.9"); + }); + + test("GET /api/status reports no update when current is newest", async () => { + const p = makeMockPlatform({ appVersion: "99.0.0" }); + const body = await withStubbedFetch(RELEASES, async () => + (await handle(get("/api/status"), p)).json(), + ); + expect(body.update_available).toBe(false); + }); + + test("POST /api/check-updates sets fresh_check", async () => { + const p = makeMockPlatform({ appVersion: "1.0.0" }); + const body = await withStubbedFetch(RELEASES, async () => + (await handle(post("/api/check-updates", {}), p)).json(), + ); + expect(body.fresh_check).toBe(true); + expect(body.update_available).toBe(true); + }); + + test("GET /api/status degrades safely when GitHub is unreachable", async () => { + const original = globalThis.fetch; + globalThis.fetch = (async () => { + throw new Error("network down"); + }) as typeof fetch; + try { + const body = await (await handle(get("/api/status"), makeMockPlatform({ appVersion: "1.0.0" }))).json(); + expect(body.update_available).toBe(false); + expect(body.error).toBeDefined(); + } finally { + globalThis.fetch = original; + } + }); + + test("POST /api/trigger-update returns 503 (no Watchtower)", async () => { + const res = await handle(post("/api/trigger-update", {}), makeMockPlatform()); + expect(res.status).toBe(503); + const body = await res.json(); + expect(body.status).toBe("error"); + expect(body.message).toContain("docker compose"); + }); + + test("POST /api/tailscale/configure is 501 (bring-up not on this server)", async () => { + const res = await handle(post("/api/tailscale/configure", { enabled: true }), makeMockPlatform()); + expect(res.status).toBe(501); + }); +}); From 275c8eb077e80c34c8934c5a8ed48909b508dab7 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 01:02:04 +0200 Subject: [PATCH 33/62] test(e2e): visit Settings in the full-app sweep Exercises the update-status card (GET /api/status) in a real view so the sweep covers the proxy-mode Settings routes, not just the main flow. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/e2e/fullapp-sweep.spec.ts | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/apps/web/e2e/fullapp-sweep.spec.ts b/apps/web/e2e/fullapp-sweep.spec.ts index 4cddfb55..89ce116e 100644 --- a/apps/web/e2e/fullapp-sweep.spec.ts +++ b/apps/web/e2e/fullapp-sweep.spec.ts @@ -84,6 +84,14 @@ test.describe('Full-app sweep (unified Bun server)', () => { await page.waitForLoadState('networkidle').catch(() => {}) await page.waitForTimeout(1000) + // Explicitly open Settings (the update-status card + tailscale live here). + const settingsBtn = page.getByRole('button', { name: /Settings/i }).first() + if (await settingsBtn.isVisible().catch(() => false)) { + await settingsBtn.click().catch(() => {}) + await page.waitForTimeout(2500) + await page.waitForLoadState('networkidle').catch(() => {}) + } + const noRoute = apiIssues.filter((i) => i.noRoute) // Report everything for diagnosis. From 4f82261d1ab3cc1f0404043deae957821971dc77 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 01:22:37 +0200 Subject: [PATCH 34/62] fix(e2e): drop useless body initializer in full-app sweep Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/e2e/fullapp-sweep.spec.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/apps/web/e2e/fullapp-sweep.spec.ts b/apps/web/e2e/fullapp-sweep.spec.ts index 89ce116e..c5ce170d 100644 --- a/apps/web/e2e/fullapp-sweep.spec.ts +++ b/apps/web/e2e/fullapp-sweep.spec.ts @@ -42,7 +42,7 @@ test.describe('Full-app sweep (unified Bun server)', () => { if (/\/api\/v\d+\//.test(url)) return const status = res.status() if (status < 400) return - let body = '' + let body: string try { body = await res.text() } catch { From b875421548f72237565a039a01b9915ce8370770 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 7 Jul 2026 01:34:15 +0200 Subject: [PATCH 35/62] fix(e2e): exclude local-only full-app sweep from CI The full-app sweep targets the manually-started unified Bun server (port 35590) and a real machine on the LAN, neither of which a hosted CI runner provides, so it failed with ERR_CONNECTION_REFUSED. Exclude it in CI via testIgnore (mirroring verify-tasks.spec.ts); it remains available locally for server live-verification. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/e2e/fullapp-sweep.spec.ts | 4 ++++ apps/web/playwright.config.ts | 18 ++++++++++++++++-- 2 files changed, 20 insertions(+), 2 deletions(-) diff --git a/apps/web/e2e/fullapp-sweep.spec.ts b/apps/web/e2e/fullapp-sweep.spec.ts index c5ce170d..65b2a407 100644 --- a/apps/web/e2e/fullapp-sweep.spec.ts +++ b/apps/web/e2e/fullapp-sweep.spec.ts @@ -10,6 +10,10 @@ import { test, expect } from '@playwright/test' * * Run against a served app: * BASE_URL=http://localhost:35590 bunx playwright test e2e/fullapp-sweep.spec.ts --project=chromium + * + * LOCAL-ONLY: this spec requires the unified Bun server (port 35590) and a + * real machine on the LAN, so it is excluded from CI (see playwright.config.ts + * testIgnore). Run it manually during server live-verification. */ const BASE = process.env.BASE_URL || 'http://localhost:35590' diff --git a/apps/web/playwright.config.ts b/apps/web/playwright.config.ts index 2debb7c4..93b9576a 100644 --- a/apps/web/playwright.config.ts +++ b/apps/web/playwright.config.ts @@ -2,6 +2,18 @@ import { defineConfig, devices } from '@playwright/test' const isCI = !!process.env.CI +/* Specs that require infrastructure CI does not provide. + - verify-tasks.spec.ts needs a running Docker container (port 3550); it is + executed separately in the docker-build job, which sets BASE_URL. + - fullapp-sweep.spec.ts is a local live-verify tool: it needs the unified + Bun server (port 35590) AND a real machine on the LAN, so it can never + run on a hosted CI runner. */ +const ciTestIgnore: string[] = [] +if (isCI) { + ciTestIgnore.push('**/fullapp-sweep.spec.ts') + if (!process.env.BASE_URL) ciTestIgnore.push('**/verify-tasks.spec.ts') +} + // In CI, only run Chromium to keep E2E fast. Locally, test all browsers. const projects = isCI ? [ @@ -33,8 +45,10 @@ export default defineConfig({ testDir: './e2e', /* verify-tasks.spec.ts needs a running Docker container (port 3550), so it's excluded from normal CI e2e runs and executed separately - in the docker-build job (which sets BASE_URL). */ - testIgnore: isCI && !process.env.BASE_URL ? ['**/verify-tasks.spec.ts'] : [], + in the docker-build job (which sets BASE_URL). fullapp-sweep.spec.ts + is a local-only live-verify tool (needs the unified Bun server + a real + machine), so it is always excluded in CI. */ + testIgnore: ciTestIgnore, fullyParallel: true, forbidOnly: isCI, retries: isCI ? 2 : 0, From 697dcfc2768d92530c3fcf733739c87086a7d836 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 01:18:18 +0200 Subject: [PATCH 36/62] feat(core): wire @metic/core into the browser fetch path behind a flag First step of the Phase 3 cutover: route native/direct-mode API calls through the shared @metic/core handler instead of DirectModeInterceptor. - core: split handle() into tryHandle() (returns null when no route matched) + handle() (wraps with a terminal 404). tryHandle lets a host fall through to a legacy handler during an incremental cutover; the Bun server keeps using handle() unchanged. - web: add installCoreInterceptor(), layered on top of the already installed DirectModeInterceptor. For MeticAI proxy paths it asks core first and delegates any route core does not own back to the legacy interceptor; machine-native /api/v1 and external URLs bypass core. The browser Platform is built with the captured unpatched fetch so machine calls do not re-enter the interceptors. Request bodies are buffered and cloned so the fallback path is unaffected when core declines. - Gated by isCoreInterceptorEnabled() (localStorage flag or ?coreInterceptor=1), OFF by default: the shipping native path is unchanged until on-device parity is verified and DirectModeInterceptor is deleted. Tests: core tryHandle fallthrough contract; browser flag resolution + interceptor routing/fallback/body-preservation. core 531, web 1093, bun-server 23 all green; lint clean; build green. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/main.tsx | 10 +++ .../interceptor/coreInterceptor.test.ts | 89 +++++++++++++++++++ .../services/interceptor/coreInterceptor.ts | 82 +++++++++++++++++ .../interceptor/coreInterceptorFlag.test.ts | 41 +++++++++ .../interceptor/coreInterceptorFlag.ts | 35 ++++++++ packages/core/src/handler.ts | 13 ++- packages/core/src/index.ts | 2 +- packages/core/test/handler.test.ts | 23 ++++- 8 files changed, 292 insertions(+), 3 deletions(-) create mode 100644 apps/web/src/services/interceptor/coreInterceptor.test.ts create mode 100644 apps/web/src/services/interceptor/coreInterceptor.ts create mode 100644 apps/web/src/services/interceptor/coreInterceptorFlag.test.ts create mode 100644 apps/web/src/services/interceptor/coreInterceptorFlag.ts diff --git a/apps/web/src/main.tsx b/apps/web/src/main.tsx index 7e07b588..50a72078 100644 --- a/apps/web/src/main.tsx +++ b/apps/web/src/main.tsx @@ -10,6 +10,8 @@ import { ShotDataServiceProvider } from '@/services/shots' import { CatalogueServiceProvider } from '@/services/catalogue' import { isDirectMode, isDemoMode } from '@/lib/machineMode' import { installDirectModeInterceptor } from '@/services/interceptor/DirectModeInterceptor' +import { installCoreInterceptor } from '@/services/interceptor/coreInterceptor' +import { isCoreInterceptorEnabled } from '@/services/interceptor/coreInterceptorFlag' // Initialize i18n import './i18n/config' @@ -22,7 +24,15 @@ import "./index.css" // translate them to Meticulous-native /api/v1/ endpoints or return 501 for // unhandled routes. Skip in demo mode — DemoAdapter handles everything. if (isDirectMode() && !isDemoMode()) { + // Capture the true, unpatched fetch before the interceptor patches it, so the + // core Platform can reach the machine without re-entering the interceptors. + const originalFetch = window.fetch.bind(window) installDirectModeInterceptor() + // Experimental (off by default): layer the shared @metic/core handler on top, + // delegating any route it doesn't own back to DirectModeInterceptor. + if (isCoreInterceptorEnabled()) { + installCoreInterceptor({ originalFetch, fallbackFetch: window.fetch.bind(window) }) + } } createRoot(document.getElementById('root')!).render( diff --git a/apps/web/src/services/interceptor/coreInterceptor.test.ts b/apps/web/src/services/interceptor/coreInterceptor.test.ts new file mode 100644 index 00000000..df7cfc37 --- /dev/null +++ b/apps/web/src/services/interceptor/coreInterceptor.test.ts @@ -0,0 +1,89 @@ +import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; + +const mockTryHandle = vi.fn(); +vi.mock("@metic/core", () => ({ + tryHandle: (...args: unknown[]) => mockTryHandle(...args), +})); + +vi.mock("@/services/platform/browserPlatform", () => ({ + createBrowserPlatform: vi.fn(() => ({ mock: "platform" })), +})); + +import { installCoreInterceptor } from "./coreInterceptor"; +import { createBrowserPlatform } from "@/services/platform/browserPlatform"; + +describe("installCoreInterceptor", () => { + let fallback: ReturnType; + let original: ReturnType; + let realFetch: typeof window.fetch; + + beforeEach(() => { + vi.clearAllMocks(); + realFetch = window.fetch; + fallback = vi.fn(async () => new Response("fallback", { status: 200 })); + original = vi.fn(async () => new Response("machine", { status: 200 })); + installCoreInterceptor({ + originalFetch: original as unknown as typeof fetch, + fallbackFetch: fallback as unknown as typeof fetch, + }); + }); + + afterEach(() => { + window.fetch = realFetch; + }); + + it("builds the platform with the unpatched original fetch", () => { + expect(createBrowserPlatform).toHaveBeenCalledWith({ fetchImpl: original }); + }); + + it("returns the core response when core owns the route", async () => { + mockTryHandle.mockResolvedValueOnce(new Response("core", { status: 201 })); + const res = await window.fetch("/api/settings"); + expect(res.status).toBe(201); + expect(await res.text()).toBe("core"); + expect(fallback).not.toHaveBeenCalled(); + }); + + it("falls back to the legacy interceptor when core does not own the route", async () => { + mockTryHandle.mockResolvedValueOnce(null); + const res = await window.fetch("/api/unknown-legacy-route"); + expect(await res.text()).toBe("fallback"); + expect(mockTryHandle).toHaveBeenCalledTimes(1); + expect(fallback).toHaveBeenCalledTimes(1); + }); + + it("falls back when the core handler throws", async () => { + mockTryHandle.mockRejectedValueOnce(new Error("boom")); + const errSpy = vi.spyOn(console, "error").mockImplementation(() => {}); + const res = await window.fetch("/api/settings"); + expect(await res.text()).toBe("fallback"); + expect(fallback).toHaveBeenCalledTimes(1); + errSpy.mockRestore(); + }); + + it("bypasses core for machine-native /api/v1 URLs", async () => { + const res = await window.fetch("/api/v1/profile/list"); + expect(await res.text()).toBe("fallback"); + expect(mockTryHandle).not.toHaveBeenCalled(); + expect(fallback).toHaveBeenCalledTimes(1); + }); + + it("bypasses core for non-API URLs", async () => { + const res = await window.fetch("https://example.com/thing"); + expect(await res.text()).toBe("fallback"); + expect(mockTryHandle).not.toHaveBeenCalled(); + }); + + it("preserves a POST body for the fallback after core declines", async () => { + mockTryHandle.mockResolvedValueOnce(null); + await window.fetch("/api/settings", { + method: "POST", + body: JSON.stringify({ a: 1 }), + headers: { "content-type": "application/json" }, + }); + const passed = fallback.mock.calls[0][0] as Request; + expect(passed).toBeInstanceOf(Request); + expect(passed.method).toBe("POST"); + expect(await passed.json()).toEqual({ a: 1 }); + }); +}); diff --git a/apps/web/src/services/interceptor/coreInterceptor.ts b/apps/web/src/services/interceptor/coreInterceptor.ts new file mode 100644 index 00000000..1be8bb1f --- /dev/null +++ b/apps/web/src/services/interceptor/coreInterceptor.ts @@ -0,0 +1,82 @@ +import { tryHandle } from "@metic/core"; +import { createBrowserPlatform } from "@/services/platform/browserPlatform"; +import { getDirectRequestContext, isMeticAIProxyApiPath } from "./directModeHttp"; + +export interface CoreInterceptorDeps { + /** + * The original, unpatched `window.fetch`, captured before any interceptor was + * installed. Used by the browser Platform to reach the machine without + * re-entering this or the legacy interceptor. + */ + originalFetch: typeof fetch; + /** + * The handler to delegate to when core does not recognise a route. In + * practice this is the already-installed `DirectModeInterceptor` fetch, so + * every route core has not yet taken over keeps working unchanged. + */ + fallbackFetch: typeof fetch; +} + +function currentOrigin(): string { + return typeof window !== "undefined" ? window.location.origin : "http://localhost"; +} + +/** + * Normalise any fetch input into a single `Request` with an absolute URL and a + * buffered body, so it can be cloned for the core handler while remaining + * usable for the fallback path (constructing a `Request` from another `Request` + * would otherwise disturb the original's body). + */ +function toCanonicalRequest(input: RequestInfo | URL, init?: RequestInit): Request { + if (input instanceof Request && !init) return input; + const url = + typeof input === "string" + ? new URL(input, currentOrigin()).href + : input instanceof URL + ? input.href + : input instanceof Request + ? input.url + : String(input); + return new Request(url, init ?? (input instanceof Request ? input : undefined)); +} + +/** + * Layer the shared `@metic/core` handler on top of the existing direct-mode + * fetch. For MeticAI proxy API paths it asks core first; core answers the + * routes it owns and returns `null` for the rest, which delegates to + * `fallbackFetch` (the legacy `DirectModeInterceptor`). Non-proxy URLs and + * machine-native `/api/v1/...` calls bypass core entirely. + * + * Install AFTER `installDirectModeInterceptor()` so `fallbackFetch` is the + * legacy interceptor. + */ +export function installCoreInterceptor(deps: CoreInterceptorDeps): void { + const { originalFetch, fallbackFetch } = deps; + const platform = createBrowserPlatform({ fetchImpl: originalFetch }); + + window.fetch = function coreModeFetch( + input: RequestInfo | URL, + init?: RequestInit, + ): Promise { + const { url } = getDirectRequestContext(input, init); + + // Only proxy-API routes are candidates for core; machine-native and + // external URLs go straight to the legacy path. + if (!isMeticAIProxyApiPath(url)) { + return fallbackFetch(input, init); + } + + return (async () => { + const canonical = toCanonicalRequest(input, init); + let handled: Response | null; + try { + handled = await tryHandle(canonical.clone(), platform); + } catch (err) { + console.error("[coreInterceptor] core handler threw; falling back", err); + handled = null; + } + if (handled) return handled; + return fallbackFetch(canonical); + })(); + }; +} diff --git a/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts b/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts new file mode 100644 index 00000000..fa9c30c6 --- /dev/null +++ b/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts @@ -0,0 +1,41 @@ +import { describe, it, expect, beforeEach, afterEach } from "vitest"; +import { isCoreInterceptorEnabled } from "./coreInterceptorFlag"; + +const STORAGE_KEY = "metic:experimental:core-interceptor"; + +describe("isCoreInterceptorEnabled", () => { + beforeEach(() => { + localStorage.clear(); + window.history.replaceState({}, "", "/"); + }); + + afterEach(() => { + localStorage.clear(); + window.history.replaceState({}, "", "/"); + }); + + it("is off by default", () => { + expect(isCoreInterceptorEnabled()).toBe(false); + }); + + it("is on when the localStorage flag is 'true'", () => { + localStorage.setItem(STORAGE_KEY, "true"); + expect(isCoreInterceptorEnabled()).toBe(true); + }); + + it("ignores non-'true' localStorage values", () => { + localStorage.setItem(STORAGE_KEY, "1"); + expect(isCoreInterceptorEnabled()).toBe(false); + }); + + it("is on via ?coreInterceptor=1 query", () => { + window.history.replaceState({}, "", "/?coreInterceptor=1"); + expect(isCoreInterceptorEnabled()).toBe(true); + }); + + it("query ?coreInterceptor=0 overrides an enabled localStorage flag", () => { + localStorage.setItem(STORAGE_KEY, "true"); + window.history.replaceState({}, "", "/?coreInterceptor=0"); + expect(isCoreInterceptorEnabled()).toBe(false); + }); +}); diff --git a/apps/web/src/services/interceptor/coreInterceptorFlag.ts b/apps/web/src/services/interceptor/coreInterceptorFlag.ts new file mode 100644 index 00000000..a117ae15 --- /dev/null +++ b/apps/web/src/services/interceptor/coreInterceptorFlag.ts @@ -0,0 +1,35 @@ +/** + * Experimental flag: route direct/native-mode API calls through the shared + * `@metic/core` handler (via the browser `Platform`) instead of the bespoke + * `DirectModeInterceptor`. + * + * This is the incremental cutover switch for the 3.0.0 core migration. It is + * OFF by default so the shipping native path (`DirectModeInterceptor`) is + * unchanged; when enabled, core handles any route it recognises and everything + * else falls through to the legacy interceptor, so it is safe to flip on for + * on-device parity testing before `DirectModeInterceptor` is deleted. + * + * Enable at runtime from the browser console (persists across reloads): + * localStorage.setItem('metic:experimental:core-interceptor', 'true') + * or per-load via the URL query `?coreInterceptor=1`. + */ +const STORAGE_KEY = "metic:experimental:core-interceptor"; + +export function isCoreInterceptorEnabled(): boolean { + if (typeof window === "undefined") return false; + + try { + const params = new URLSearchParams(window.location.search); + const q = params.get("coreInterceptor"); + if (q === "1" || q === "true") return true; + if (q === "0" || q === "false") return false; + } catch { + /* ignore malformed URL */ + } + + try { + return window.localStorage.getItem(STORAGE_KEY) === "true"; + } catch { + return false; + } +} diff --git a/packages/core/src/handler.ts b/packages/core/src/handler.ts index ae451022..d9bc42d0 100644 --- a/packages/core/src/handler.ts +++ b/packages/core/src/handler.ts @@ -26,8 +26,12 @@ import { handleSchedulingRoutes } from "./routes/scheduling"; * Route families are registered incrementally; each `handle*Routes` dispatcher * returns `null` when the request is not one of its routes so the next family * can try it. + * + * `tryHandle` returns `null` when no route matched, which lets a host layer fall + * through to a legacy handler during an incremental cutover. `handle` wraps it + * with a terminal 404 for hosts that own the whole request surface. */ -export async function handle(req: Request, platform: Platform): Promise { +export async function tryHandle(req: Request, platform: Platform): Promise { const { pathname } = new URL(req.url); if (req.method === "GET" && pathname === "/api/health") { @@ -79,5 +83,12 @@ export async function handle(req: Request, platform: Platform): Promise { + const matched = await tryHandle(req, platform); + if (matched) return matched; + const { pathname } = new URL(req.url); return notFound(`No route for ${req.method} ${pathname}`); } diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts index 1a5f68f8..956188d4 100644 --- a/packages/core/src/index.ts +++ b/packages/core/src/index.ts @@ -1,4 +1,4 @@ -export { handle } from "./handler"; +export { handle, tryHandle } from "./handler"; export { jsonResponse, errorResponse, diff --git a/packages/core/test/handler.test.ts b/packages/core/test/handler.test.ts index 2387a5ec..f2cf4bd3 100644 --- a/packages/core/test/handler.test.ts +++ b/packages/core/test/handler.test.ts @@ -1,5 +1,5 @@ import { describe, it, expect } from "vitest"; -import { handle } from "../src/handler"; +import { handle, tryHandle } from "../src/handler"; import { makeMockPlatform } from "./mockPlatform"; describe("core handler contract", () => { @@ -24,3 +24,24 @@ describe("core handler contract", () => { expect(body.error).toContain("/api/does-not-exist"); }); }); + +describe("tryHandle fallthrough contract", () => { + const platform = makeMockPlatform(); + + it("returns a Response for a matched route", async () => { + const res = await tryHandle( + new Request("http://local/api/health"), + platform, + ); + expect(res).not.toBeNull(); + expect(res?.status).toBe(200); + }); + + it("returns null (not a 404) for an unmatched route so a host can fall through", async () => { + const res = await tryHandle( + new Request("http://local/api/does-not-exist"), + platform, + ); + expect(res).toBeNull(); + }); +}); From 44a479e4b5565fb07018418f568347eaea0c3b95 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 01:48:30 +0200 Subject: [PATCH 37/62] feat(core): port pour-over active flows, progress seam, and read stubs Close the last @metic/core route-parity gaps against the direct-mode interceptor so core can own the full request path in the browser: - pour-over active flows (prepare, prepare-recipe, cleanup, force-cleanup, active) ported into routes/pourover.ts against the Platform seam, with a pure pourOverAdapter.ts (adaptPourOverProfile/adaptRecipeToProfile) ported byte-faithfully from the native adapters. - GET /api/shots/llm-analysis-cache -> {cached:false} and GET /api/generate/progress -> 404 {error:"No active generation"} stubs, matching native. - optional Platform.reportProgress seam + GenerationProgressEvent type so the host can drive the generation progress bar; analyze_and_profile now emits analyzing/processingImage/generating/retrying/validating/complete phases. Core suite 537 green; @metic/core + apps/bun-server typecheck clean. Live-smoked the three new read routes through the Bun server against machine 192.168.50.168 (200 {cached:false}, 404 no-generation, 200 {active:false}). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/index.ts | 1 + packages/core/src/logic/pourOverAdapter.ts | 186 ++++++++++++++++++ packages/core/src/platform.ts | 15 ++ packages/core/src/routes/analyzeAndProfile.ts | 15 ++ packages/core/src/routes/pourover.ts | 106 ++++++++-- packages/core/src/routes/shotsRead.ts | 5 + .../test/contract/analyzeAndProfile.test.ts | 8 + packages/core/test/contract/pourover.test.ts | 100 ++++++++++ packages/core/test/contract/shotsRead.test.ts | 8 + 9 files changed, 427 insertions(+), 17 deletions(-) create mode 100644 packages/core/src/logic/pourOverAdapter.ts diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts index 956188d4..f52cad90 100644 --- a/packages/core/src/index.ts +++ b/packages/core/src/index.ts @@ -14,4 +14,5 @@ export type { Scheduler, Logger, AIConfig, + GenerationProgressEvent, } from "./platform"; diff --git a/packages/core/src/logic/pourOverAdapter.ts b/packages/core/src/logic/pourOverAdapter.ts new file mode 100644 index 00000000..4c54983d --- /dev/null +++ b/packages/core/src/logic/pourOverAdapter.ts @@ -0,0 +1,186 @@ +/** + * Pour-over profile adapters. + * + * Pure logic (no DOM, no host dependencies) that builds a Meticulous OEPF + * profile from either ratio-based pour-over options or an OPOS-style recipe. + * Ported byte-for-byte from the native oracle + * (apps/web/src/services/interceptor/DirectModeInterceptor.ts + * _adaptPourOverProfile / _adaptRecipeToProfile) so both runtimes build the + * exact same machine profile, and mirrors the server adapters + * (apps/server pour_over_adapter.py / recipe_adapter.py). + * + * The resulting profile is loaded onto the machine by the pour-over routes. + */ + +import { safeRandomUUID } from "./uuid"; + +export interface PourOverOptions { + targetWeight: number; + bloomEnabled: boolean; + bloomSeconds: number; + doseGrams: number | null; + brewRatio: number | null; +} + +export interface OposStep { + step?: number; + action?: string; + water_g?: number; + duration_s?: number; + notes?: string; +} + +export interface RecipeInput { + metadata?: { name?: string }; + ingredients?: { water_g?: number; coffee_g?: number } & Record; + protocol?: OposStep[]; +} + +/** A loosely-typed OEPF profile object (matches what the machine save accepts). */ +export type AdaptedProfile = Record; + +const POUR_OVER_BASE = { + name: "MeticAI Ratio Pour-Over", + id: "", + author: "MeticAI", + author_id: "", + display: { accentColor: "#566656" } as Record, + temperature: 0, + final_weight: 300, + variables: [{ name: "Zero", key: "power_Zero", type: "power", value: 0 }], + stages: [ + { + name: "Bloom (30s)", + key: "power_1", + type: "power", + dynamics: { points: [[0, "$power_Zero"], [10, "$power_Zero"]], over: "time", interpolation: "curve" }, + exit_triggers: [{ type: "time", value: 30, relative: false, comparison: ">=" }], + limits: [], + }, + { + name: "Infusion (300g)", + key: "power_2", + type: "power", + dynamics: { points: [[0, "$power_Zero"], [10, "$power_Zero"]], over: "time", interpolation: "curve" }, + exit_triggers: [{ type: "weight", value: 300, relative: false, comparison: ">=" }], + limits: [], + }, + ], +}; + +const STAGE_TEMPLATE = { + type: "power", + dynamics: { points: [[0, "$power_Zero"], [10, "$power_Zero"]], over: "time", interpolation: "curve" }, + limits: [], +}; + +function clone(value: T): T { + return JSON.parse(JSON.stringify(value)) as T; +} + +interface Trigger { + type: string; + value: number; + relative: boolean; + comparison: string; +} + +interface Stage { + name: string; + key: string; + type: string; + dynamics: unknown; + exit_triggers: Trigger[]; + limits: unknown[]; +} + +/** Build a ratio/bloom pour-over profile. */ +export function adaptPourOverProfile(opts: PourOverOptions): AdaptedProfile { + const profile = clone(POUR_OVER_BASE) as typeof POUR_OVER_BASE & AdaptedProfile; + profile.id = safeRandomUUID(); + profile.author_id = safeRandomUUID(); + profile.final_weight = opts.targetWeight; + const weightLabel = `${Math.round(opts.targetWeight)}g`; + + const parts = [`Target: ${weightLabel}`]; + if (opts.doseGrams) parts.push(`Dose: ${opts.doseGrams.toFixed(1)}g`); + if (opts.brewRatio) parts.push(`Ratio: 1:${opts.brewRatio.toFixed(1)}`); + profile.display = { ...profile.display, shortDescription: parts.join(" | ").slice(0, 99) }; + + const stages = profile.stages as unknown as Stage[]; + if (opts.bloomEnabled && stages.length >= 2) { + stages[0]!.name = `Bloom (${Math.round(opts.bloomSeconds)}s)`; + for (const t of stages[0]!.exit_triggers) if (t.type === "time") t.value = opts.bloomSeconds; + stages[1]!.name = `Infusion (${weightLabel})`; + for (const t of stages[1]!.exit_triggers) if (t.type === "weight") t.value = opts.targetWeight; + if (!stages[1]!.exit_triggers.some((t) => t.type === "time")) { + stages[1]!.exit_triggers.push({ type: "time", value: 600, relative: true, comparison: ">=" }); + } + } else if (!opts.bloomEnabled && stages.length >= 2) { + const infusion = stages[1]!; + infusion.name = `Infusion (${weightLabel})`; + infusion.key = "power_1"; + for (const t of infusion.exit_triggers) if (t.type === "weight") t.value = opts.targetWeight; + if (!infusion.exit_triggers.some((t) => t.type === "time")) { + infusion.exit_triggers.push({ type: "time", value: 600, relative: true, comparison: ">=" }); + } + (profile as AdaptedProfile).stages = [infusion]; + } + return profile; +} + +/** Build a profile from an OPOS-style recipe. */ +export function adaptRecipeToProfile(recipe: RecipeInput): AdaptedProfile { + const profile = clone(POUR_OVER_BASE) as typeof POUR_OVER_BASE & AdaptedProfile; + profile.id = safeRandomUUID(); + profile.author_id = safeRandomUUID(); + const recipeName = recipe.metadata?.name ?? "Recipe"; + profile.name = `MeticAI Recipe: ${recipeName}`; + const totalWater = Number(recipe.ingredients?.water_g ?? 0); + const coffeeG = Number(recipe.ingredients?.coffee_g ?? 0) || null; + profile.final_weight = totalWater; + + const parts = [`Target: ${Math.round(totalWater)}g`]; + if (coffeeG) { + parts.push(`Dose: ${Math.round(coffeeG)}g`); + parts.push(`Ratio: 1:${(totalWater / coffeeG).toFixed(1)}`); + } + profile.display = { ...profile.display, shortDescription: parts.join(" | ").slice(0, 99) }; + + const stages: Stage[] = []; + let cumulativeWater = 0; + let pourCount = 0; + + for (const step of recipe.protocol ?? []) { + const action = step.action ?? ""; + const waterG = Number(step.water_g ?? 0); + const durationS = Number(step.duration_s ?? 30); + const stage = clone(STAGE_TEMPLATE) as unknown as Stage; + stage.key = `power_${stages.length + 1}`; + + if (action === "bloom" || action === "pour") { + cumulativeWater += waterG; + if (action === "bloom") { + stage.name = `Bloom (${Math.round(waterG)}g / ${Math.round(durationS)}s)`; + stage.exit_triggers = [{ type: "time", value: durationS, relative: true, comparison: ">=" }]; + } else { + pourCount++; + stage.name = `Pour ${pourCount} (to ${Math.round(cumulativeWater)}g)`; + stage.exit_triggers = [ + { type: "weight", value: cumulativeWater, relative: false, comparison: ">=" }, + { type: "time", value: 600, relative: true, comparison: ">=" }, + ]; + } + } else if (action === "wait" || action === "swirl" || action === "stir") { + stage.name = action === "swirl" ? "Swirl" : action === "stir" ? "Stir" : `Wait (${Math.round(durationS)}s)`; + stage.exit_triggers = [{ type: "time", value: durationS, relative: true, comparison: ">=" }]; + } else { + continue; + } + + stages.push(stage); + } + + (profile as AdaptedProfile).stages = stages; + return profile; +} diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index d0a8553f..75497319 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -109,4 +109,19 @@ export interface Platform { logger: Logger; /** Optional app/build version surfaced by GET /api/version (defaults to "unknown"). */ appVersion?: string; + /** + * Optional progress reporter for long-running generation flows. The browser + * platform drives the segmented profile-generation progress bar from these + * events; hosts without a UI (Node/Bun server, mock) omit it. `message` is an + * i18n key. Reporting must never throw into the caller. + */ + reportProgress?: (event: GenerationProgressEvent) => void; +} + +/** A profile-generation progress event (message is an i18n key). */ +export interface GenerationProgressEvent { + phase: "analyzing" | "generating" | "validating" | "retrying" | "complete" | "failed"; + message: string; + attempt?: number; + maxAttempts?: number; } diff --git a/packages/core/src/routes/analyzeAndProfile.ts b/packages/core/src/routes/analyzeAndProfile.ts index 97774b7d..0e6eab08 100644 --- a/packages/core/src/routes/analyzeAndProfile.ts +++ b/packages/core/src/routes/analyzeAndProfile.ts @@ -79,6 +79,13 @@ export async function handleAnalyzeAndProfileRoute( ): Promise { const { pathname } = new URL(req.url); const normalized = pathname.startsWith("/api/") ? pathname.slice(4) : pathname; + + // GET /api/generate/progress -> generation is synchronous (no SSE) in the + // unified runtime, so there is never an active streaming generation. + if (normalized === "/generate/progress" && req.method === "GET") { + return jsonResponse({ error: "No active generation" }, 404); + } + if (normalized !== "/analyze_and_profile" || req.method !== "POST") return null; try { @@ -91,6 +98,9 @@ export async function handleAnalyzeAndProfileRoute( }); } + const report = platform.reportProgress?.bind(platform); + report?.({ phase: "analyzing", message: "generation.progress.preparingPrompt" }); + const form = await req.formData(); const fileValue = form.get("file"); const image = isUploadedFile(fileValue) ? fileValue : null; @@ -107,6 +117,7 @@ export async function handleAnalyzeAndProfileRoute( const parts: Array> = []; if (image) { + report?.({ phase: "analyzing", message: "generation.progress.processingImage" }); const buffer = new Uint8Array(await image.arrayBuffer()); parts.push({ inlineData: { mimeType: image.type || "image/jpeg", data: toBase64(buffer) }, @@ -114,17 +125,20 @@ export async function handleAnalyzeAndProfileRoute( } parts.push({ text: systemPrompt }); + report?.({ phase: "generating", message: "generation.progress.generatingProfile" }); const response = await platform.ai.generateText({ contents: [{ role: "user", parts }], }); const generateFix = async (fixPrompt: string): Promise => { + report?.({ phase: "retrying", message: "generation.progress.validatingProfile" }); const fixResponse = await platform.ai.generateText({ contents: [{ role: "user", parts: [{ text: fixPrompt }] }], }); return fixResponse.text; }; + report?.({ phase: "validating", message: "generation.progress.validatingProfile" }); const { reply: validatedReply } = await validateAndRetryProfile( response.text, generateFix, @@ -155,6 +169,7 @@ export async function handleAnalyzeAndProfileRoute( } } + report?.({ phase: "complete", message: "generation.progress.profileGenerated" }); return jsonResponse({ status: "success", analysis: image ? cleanAnalysis : "", diff --git a/packages/core/src/routes/pourover.ts b/packages/core/src/routes/pourover.ts index c9c723e8..b05849a8 100644 --- a/packages/core/src/routes/pourover.ts +++ b/packages/core/src/routes/pourover.ts @@ -21,6 +21,8 @@ import type { Platform, Repo } from "../platform"; import { jsonResponse } from "../http"; +import { adaptPourOverProfile, adaptRecipeToProfile } from "../logic/pourOverAdapter"; +import { POUR_OVER_RECIPES } from "../data/recipes"; export interface ModePreferences { autoStart: boolean; @@ -171,33 +173,103 @@ export async function savePreferences(platform: Platform, value: unknown): Promi */ export async function handlePourOverRoutes(req: Request, platform: Platform): Promise { const { pathname } = new URL(req.url); - if (pathname !== "/api/pour-over/preferences") return null; - if (req.method === "GET") { - try { - return jsonResponse(await getPreferences(platform)); - } catch (err) { - const message = err instanceof PourOverValidationError ? err.message : "Failed to load pour-over preferences"; - return jsonResponse({ detail: message }, 500); + if (pathname === "/api/pour-over/preferences") { + if (req.method === "GET") { + try { + return jsonResponse(await getPreferences(platform)); + } catch (err) { + const message = err instanceof PourOverValidationError ? err.message : "Failed to load pour-over preferences"; + return jsonResponse({ detail: message }, 500); + } } + + if (req.method === "PUT") { + let body: unknown; + try { + body = await req.json(); + } catch { + return jsonResponse({ detail: "Invalid preferences" }, 400); + } + try { + return jsonResponse(await savePreferences(platform, body)); + } catch (err) { + if (err instanceof PourOverValidationError) { + return jsonResponse({ detail: "Invalid preferences" }, 400); + } + return jsonResponse({ detail: "Failed to save preferences" }, 500); + } + } + + return null; } - if (req.method === "PUT") { - let body: unknown; + // POST /api/pour-over/prepare -> build an adapted ratio/bloom profile and load it on the machine. + if (pathname === "/api/pour-over/prepare" && req.method === "POST") { try { - body = await req.json(); - } catch { - return jsonResponse({ detail: "Invalid preferences" }, 400); + const body = (await req.json().catch(() => ({}))) as { + target_weight?: number; + bloom_enabled?: boolean; + bloom_seconds?: number; + dose_grams?: number | null; + brew_ratio?: number | null; + }; + const profile = adaptPourOverProfile({ + targetWeight: body.target_weight ?? 300, + bloomEnabled: body.bloom_enabled ?? true, + bloomSeconds: body.bloom_seconds ?? 30, + doseGrams: body.dose_grams ?? null, + brewRatio: body.brew_ratio ?? null, + }); + return await loadPourOverProfile(platform, profile, "Failed to load pour-over profile"); + } catch (e) { + return jsonResponse({ status: "error", detail: (e as Error).message }, 500); } + } + + // POST /api/pour-over/prepare-recipe -> convert an OPOS recipe to a profile and load it on the machine. + if (pathname === "/api/pour-over/prepare-recipe" && req.method === "POST") { try { - return jsonResponse(await savePreferences(platform, body)); - } catch (err) { - if (err instanceof PourOverValidationError) { - return jsonResponse({ detail: "Invalid preferences" }, 400); + const body = (await req.json().catch(() => ({}))) as { recipe_slug?: string }; + const recipe = POUR_OVER_RECIPES.find((r) => r.slug === body.recipe_slug); + if (!recipe) { + return jsonResponse({ status: "error", detail: `Recipe '${body.recipe_slug}' not found` }, 404); } - return jsonResponse({ detail: "Failed to save preferences" }, 500); + const profile = adaptRecipeToProfile(recipe); + return await loadPourOverProfile(platform, profile, "Failed to load recipe profile"); + } catch (e) { + return jsonResponse({ status: "error", detail: (e as Error).message }, 500); } } + // POST /api/pour-over/cleanup, force-cleanup -> server-side no-op success. + // (The browser runtime additionally restores the previously-active profile + // from session state before this handler runs; see the browser native shim.) + if ((pathname === "/api/pour-over/cleanup" || pathname === "/api/pour-over/force-cleanup") && req.method === "POST") { + return jsonResponse({ status: "ok" }); + } + + // GET /api/pour-over/active -> no active-session tracking in direct/server mode. + if (pathname === "/api/pour-over/active" && req.method === "GET") { + return jsonResponse({ active: false }); + } + return null; } + +/** Load an adapted pour-over profile onto the machine and return the standard response. */ +async function loadPourOverProfile( + platform: Platform, + profile: Record, + failureDetail: string, +): Promise { + const loadResponse = await platform.machine.fetch("/api/v1/profile/load", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(profile), + }); + if (!loadResponse.ok) { + return jsonResponse({ status: "error", detail: failureDetail }, 502); + } + return jsonResponse({ profile_id: profile.id, profile_name: profile.name }); +} diff --git a/packages/core/src/routes/shotsRead.ts b/packages/core/src/routes/shotsRead.ts index c423adf3..f73be55e 100644 --- a/packages/core/src/routes/shotsRead.ts +++ b/packages/core/src/routes/shotsRead.ts @@ -73,6 +73,11 @@ export async function handleShotsReadRoutes( const url = new URL(req.url); const { pathname } = url; + // GET /api/shots/llm-analysis-cache -> no server/direct-mode LLM cache lookup. + if (pathname === "/api/shots/llm-analysis-cache") { + return jsonResponse({ cached: false }); + } + // GET /api/last-shot -> most-recent normalized shot. if (pathname === "/api/last-shot") { try { diff --git a/packages/core/test/contract/analyzeAndProfile.test.ts b/packages/core/test/contract/analyzeAndProfile.test.ts index 69ffa060..32552e9f 100644 --- a/packages/core/test/contract/analyzeAndProfile.test.ts +++ b/packages/core/test/contract/analyzeAndProfile.test.ts @@ -164,3 +164,11 @@ describe("POST /api/analyze_and_profile", () => { expect((await res.json()).status).toBe("success"); }); }); + +describe("generate progress stub", () => { + test("GET /api/generate/progress reports no active generation (404)", async () => { + const res = await handle(new Request("http://x/api/generate/progress"), makeMockPlatform()); + expect(res.status).toBe(404); + expect(await res.json()).toEqual({ error: "No active generation" }); + }); +}); diff --git a/packages/core/test/contract/pourover.test.ts b/packages/core/test/contract/pourover.test.ts index 413851ae..ccfc04c1 100644 --- a/packages/core/test/contract/pourover.test.ts +++ b/packages/core/test/contract/pourover.test.ts @@ -88,3 +88,103 @@ describe("pour-over preferences: validation", () => { expect(await res.json()).toEqual({ detail: "Invalid preferences" }); }); }); + +describe("pour-over active flows", () => { + function recordingMachine() { + const calls: Array<{ path: string; init?: RequestInit }> = []; + let ok = true; + return { + calls, + setOk: (v: boolean) => { ok = v; }, + machine: { + getBaseUrl: () => "http://machine.test:8080", + fetch: async (path: string, init?: RequestInit) => { + calls.push({ path, init }); + return new Response(JSON.stringify({ ok }), { + status: ok ? 200 : 502, + headers: { "content-type": "application/json" }, + }); + }, + }, + }; + } + + test("POST /api/pour-over/prepare adapts and loads a profile on the machine", async () => { + const m = recordingMachine(); + const p = makeMockPlatform({ machine: m.machine }); + const res = await handle( + new Request("http://x/api/pour-over/prepare", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ target_weight: 250, bloom_enabled: true, bloom_seconds: 40 }), + }), + p, + ); + expect(res.status).toBe(200); + const body = await res.json(); + expect(typeof body.profile_id).toBe("string"); + expect(body.profile_name).toBe("MeticAI Ratio Pour-Over"); + expect(m.calls[0]?.path).toBe("/api/v1/profile/load"); + expect(m.calls[0]?.init?.method).toBe("POST"); + const loaded = JSON.parse(String(m.calls[0]?.init?.body)); + expect(loaded.final_weight).toBe(250); + expect(loaded.stages[0].name).toBe("Bloom (40s)"); + }); + + test("POST /api/pour-over/prepare returns 502 when the machine load fails", async () => { + const m = recordingMachine(); + m.setOk(false); + const p = makeMockPlatform({ machine: m.machine }); + const res = await handle( + new Request("http://x/api/pour-over/prepare", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ target_weight: 300 }), + }), + p, + ); + expect(res.status).toBe(502); + }); + + test("POST /api/pour-over/prepare-recipe loads a known recipe, 404s an unknown one", async () => { + const m = recordingMachine(); + const p = makeMockPlatform({ machine: m.machine }); + const missing = await handle( + new Request("http://x/api/pour-over/prepare-recipe", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ recipe_slug: "does-not-exist" }), + }), + p, + ); + expect(missing.status).toBe(404); + + const ok = await handle( + new Request("http://x/api/pour-over/prepare-recipe", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ recipe_slug: "4-6-method" }), + }), + p, + ); + expect(ok.status).toBe(200); + const body = await ok.json(); + expect(body.profile_name).toContain("MeticAI Recipe:"); + expect(m.calls.at(-1)?.path).toBe("/api/v1/profile/load"); + }); + + test("cleanup / force-cleanup / active return stable no-op responses", async () => { + const p = makeMockPlatform(); + const cleanup = await handle(new Request("http://x/api/pour-over/cleanup", { method: "POST" }), p); + expect(cleanup.status).toBe(200); + expect(await cleanup.json()).toEqual({ status: "ok" }); + + const force = await handle(new Request("http://x/api/pour-over/force-cleanup", { method: "POST" }), p); + expect(force.status).toBe(200); + expect(await force.json()).toEqual({ status: "ok" }); + + const active = await handle(new Request("http://x/api/pour-over/active"), p); + expect(active.status).toBe(200); + expect(await active.json()).toEqual({ active: false }); + }); +}); diff --git a/packages/core/test/contract/shotsRead.test.ts b/packages/core/test/contract/shotsRead.test.ts index f6fb54ed..3c2ef9e7 100644 --- a/packages/core/test/contract/shotsRead.test.ts +++ b/packages/core/test/contract/shotsRead.test.ts @@ -153,3 +153,11 @@ describe("shots-read: GET /api/shots/data/{date}/{filename}", () => { expect(res.status).toBe(404); }); }); + +describe("shots read: llm-analysis-cache stub", () => { + test("GET /api/shots/llm-analysis-cache reports no cache", async () => { + const res = await handle(new Request("http://x/api/shots/llm-analysis-cache"), makeMockPlatform()); + expect(res.status).toBe(200); + expect(await res.json()).toEqual({ cached: false }); + }); +}); From a16719d4819aa00deaa964570ff52bb91091a442 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 01:48:58 +0200 Subject: [PATCH 38/62] feat(web): cut the browser over to @metic/core and delete the legacy interceptor Phase 3 cutover: the shared @metic/core handler is now the direct-mode request path in the browser/native app, and the bespoke DirectModeInterceptor is deleted. - coreInterceptor.ts rewritten as the primary path: MeticAI proxy /api/* requests go to the browser-native shim first, then core's tryHandle, then a terminal 404. No fallback to the old interceptor. Machine-native /api/v1/* and external URLs bypass core to the original fetch. - browserNativeRoutes.ts: new shim owning the routes core cannot (DOM/canvas image upload/generate/apply + sessionStorage pour-over cleanup restore), ported from the retired interceptor with identical contracts. Full-res bytes are written to the image-proxy cache key core reads. - browserPlatform.ts: wire reportProgress to dispatch the generation-progress CustomEvent that useGenerationProgress consumes, preserving the progress bar. - main.tsx: install core unconditionally in direct mode; drop the flag gate. - delete DirectModeInterceptor(.test), analyzeLlmPrompt(.test) (dead once the interceptor is gone), coreInterceptorFlag(.test). Web suite 1037 pass; tsc adds zero new errors; build succeeds; changed files lint clean. On-device iOS parity verification to follow. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/hooks/useGenerationProgress.ts | 3 +- apps/web/src/main.tsx | 20 +- .../interceptor/DirectModeInterceptor.test.ts | 1990 --------- .../interceptor/DirectModeInterceptor.ts | 3871 ----------------- .../interceptor/analyzeLlmPrompt.test.ts | 77 - .../services/interceptor/analyzeLlmPrompt.ts | 141 - .../interceptor/browserNativeRoutes.test.ts | 181 + .../interceptor/browserNativeRoutes.ts | 425 ++ .../interceptor/coreInterceptor.test.ts | 52 +- .../services/interceptor/coreInterceptor.ts | 62 +- .../interceptor/coreInterceptorFlag.test.ts | 41 - .../interceptor/coreInterceptorFlag.ts | 35 - .../src/services/platform/browserPlatform.ts | 40 +- 13 files changed, 713 insertions(+), 6225 deletions(-) delete mode 100644 apps/web/src/services/interceptor/DirectModeInterceptor.test.ts delete mode 100644 apps/web/src/services/interceptor/DirectModeInterceptor.ts delete mode 100644 apps/web/src/services/interceptor/analyzeLlmPrompt.test.ts delete mode 100644 apps/web/src/services/interceptor/analyzeLlmPrompt.ts create mode 100644 apps/web/src/services/interceptor/browserNativeRoutes.test.ts create mode 100644 apps/web/src/services/interceptor/browserNativeRoutes.ts delete mode 100644 apps/web/src/services/interceptor/coreInterceptorFlag.test.ts delete mode 100644 apps/web/src/services/interceptor/coreInterceptorFlag.ts diff --git a/apps/web/src/hooks/useGenerationProgress.ts b/apps/web/src/hooks/useGenerationProgress.ts index 4f5f2653..e76dea5c 100644 --- a/apps/web/src/hooks/useGenerationProgress.ts +++ b/apps/web/src/hooks/useGenerationProgress.ts @@ -85,7 +85,8 @@ export function useGenerationProgress(active: boolean): UseGenerationProgressRet let cancelled = false - // In direct mode, listen for CustomEvents dispatched by DirectModeInterceptor + // In direct mode, listen for CustomEvents dispatched by the browser Platform + // (browserPlatform.reportProgress). const directMode = isDirectMode() if (directMode) { const handler = (e: Event) => { diff --git a/apps/web/src/main.tsx b/apps/web/src/main.tsx index 50a72078..869085ca 100644 --- a/apps/web/src/main.tsx +++ b/apps/web/src/main.tsx @@ -9,9 +9,7 @@ import { AIServiceProvider } from '@/services/ai' import { ShotDataServiceProvider } from '@/services/shots' import { CatalogueServiceProvider } from '@/services/catalogue' import { isDirectMode, isDemoMode } from '@/lib/machineMode' -import { installDirectModeInterceptor } from '@/services/interceptor/DirectModeInterceptor' import { installCoreInterceptor } from '@/services/interceptor/coreInterceptor' -import { isCoreInterceptorEnabled } from '@/services/interceptor/coreInterceptorFlag' // Initialize i18n import './i18n/config' @@ -20,19 +18,15 @@ import "./main.css" import "./styles/theme.css" import "./index.css" -// In direct mode (PWA on machine), intercept MeticAI proxy API calls and either -// translate them to Meticulous-native /api/v1/ endpoints or return 501 for -// unhandled routes. Skip in demo mode — DemoAdapter handles everything. +// In direct mode (native/PWA on the machine), route MeticAI proxy API calls +// through the shared @metic/core handler (the same handler the Bun server uses +// in proxy mode). Machine-native /api/v1/ calls and external URLs pass straight +// through to the original fetch. Skip in demo mode — DemoAdapter handles it all. if (isDirectMode() && !isDemoMode()) { - // Capture the true, unpatched fetch before the interceptor patches it, so the - // core Platform can reach the machine without re-entering the interceptors. + // Capture the true, unpatched fetch before we patch it, so the core Platform + // can reach the machine without re-entering the interceptor. const originalFetch = window.fetch.bind(window) - installDirectModeInterceptor() - // Experimental (off by default): layer the shared @metic/core handler on top, - // delegating any route it doesn't own back to DirectModeInterceptor. - if (isCoreInterceptorEnabled()) { - installCoreInterceptor({ originalFetch, fallbackFetch: window.fetch.bind(window) }) - } + installCoreInterceptor({ originalFetch }) } createRoot(document.getElementById('root')!).render( diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts deleted file mode 100644 index d371b029..00000000 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.test.ts +++ /dev/null @@ -1,1990 +0,0 @@ -import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest' -import 'fake-indexeddb/auto' -import { STORAGE_KEYS } from '@/lib/constants' -import { deleteProfileImage, deleteSetting, getDB, setSetting } from '@/services/storage/AppDatabase' -import type { ProfileIdent } from '@meticulous-home/espresso-api' - -const machineModeMocks = vi.hoisted(() => ({ - isNativePlatform: vi.fn(), - getDefaultMachineUrl: vi.fn(), -})) - -const browserAIServiceMocks = vi.hoisted(() => ({ - isConfigured: vi.fn(() => false), - analyzeShot: vi.fn(), - generateProfile: vi.fn(), - generateImage: vi.fn(), -})) - -vi.mock('@/lib/machineMode', () => ({ - isNativePlatform: machineModeMocks.isNativePlatform, - getDefaultMachineUrl: machineModeMocks.getDefaultMachineUrl, -})) - -vi.mock('@/services/ai/BrowserAIService', () => ({ - createBrowserAIService: vi.fn(() => ({ - isConfigured: browserAIServiceMocks.isConfigured, - analyzeShot: browserAIServiceMocks.analyzeShot, - generateProfile: browserAIServiceMocks.generateProfile, - generateImage: browserAIServiceMocks.generateImage, - })), -})) - -import { computeRichLocalAnalysis, installDirectModeInterceptor } from './DirectModeInterceptor' - -type FetchCall = { - input: RequestInfo | URL - init?: RequestInit - method: string - url: string - pathname: string -} - -type FetchHandler = (call: FetchCall) => Response | Promise -type RouteFixture = FetchHandler | Response | unknown - -function jsonResponse(data: unknown, status = 200): Response { - return new Response(JSON.stringify(data), { - status, - headers: { 'Content-Type': 'application/json' }, - }) -} - -function validPngBlob(): Blob { - const bytes = Uint8Array.from(atob( - 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+/p9sAAAAASUVORK5CYII=', - ), char => char.charCodeAt(0)) - return new Blob([bytes], { type: 'image/png' }) -} - -function requestUrl(input: RequestInfo | URL): string { - if (typeof input === 'string') return input - if (input instanceof URL) return input.href - return input.url -} - -function requestMethod(input: RequestInfo | URL, init?: RequestInit): string { - return (init?.method ?? (input instanceof Request ? input.method : 'GET')).toUpperCase() -} - -function createMachineFetch(routes: Record = {}) { - return vi.fn(async (input: RequestInfo | URL, init?: RequestInit) => { - const url = requestUrl(input) - const method = requestMethod(input, init) - const pathname = new URL(url, 'http://machine.local').pathname - const route = routes[`${method} ${pathname}`] ?? routes[pathname] - const call = { input, init, method, url, pathname } - - if (typeof route === 'function') return route(call) - if (route instanceof Response) return route.clone() - if (route !== undefined) return jsonResponse(route) - return jsonResponse({ ok: true }) - }) -} - -async function readJson(response: Response): Promise { - expect(response.headers.get('content-type')).toContain('application/json') - return await response.json() as T -} - -function directMode() { - machineModeMocks.isNativePlatform.mockReturnValue(false) - machineModeMocks.getDefaultMachineUrl.mockReturnValue('') -} - -function capacitorMode(machineUrl = 'http://machine.local:8080') { - machineModeMocks.isNativePlatform.mockReturnValue(true) - machineModeMocks.getDefaultMachineUrl.mockReturnValue(machineUrl) -} - -function nestedMachineProfiles(): ProfileIdent[] { - // @meticulous-home/espresso-api exposes profile/list entries as nested - // ProfileIdent objects: { change_id, profile }. Keep this shape so the RED - // harness catches DirectModeInterceptor's current CachedProfile[] type cast. - return [ - { - change_id: 'change-1', - profile: { - id: 'profile-1', - name: 'Turbo Bloom', - author: 'MeticAI', - author_id: 'author-1', - previous_authors: [], - display: { - description: 'Bright fruit profile', - image: '/profile/profile-1.png', - }, - temperature: 93, - final_weight: 36, - variables: [], - stages: [ - { - name: 'Bloom', - type: 'flow', - key: 'flow_bloom', - dynamics: { points: [[0, 2.1]], over: 'time', interpolation: 'linear' }, - exit_triggers: [], - limits: [], - }, - { - name: 'Ramp', - type: 'pressure', - key: 'pressure_ramp', - dynamics: { points: [[0, 8]], over: 'time', interpolation: 'linear' }, - exit_triggers: [], - limits: [], - }, - ], - }, - }, - { - change_id: 'change-2', - profile: { - id: 'profile-2', - name: 'Chocolate Cruise', - author: 'MeticAI', - author_id: 'author-2', - previous_authors: [], - display: { shortDescription: 'Sweet classic espresso' }, - temperature: 92, - final_weight: 38, - variables: [], - stages: [ - { - name: 'Flat', - type: 'pressure', - key: 'pressure_flat', - dynamics: { points: [[0, 9]], over: 'time', interpolation: 'linear' }, - exit_triggers: [], - limits: [], - }, - ], - }, - }, - ] -} - -function machineHistory() { - return [ - { - id: 'shot-1', - time: Date.parse('2026-01-03T10:00:00Z') / 1000, - name: 'Turbo Bloom', - file: 'shot-1.json', - profile: { - id: 'profile-1', - name: 'Turbo Bloom', - final_weight: 36, - temperature: 93, - }, - data: [ - { time: 0, profile_time: 0, shot: { pressure: 0, flow: 0, weight: 0 } }, - { time: 30000, profile_time: 30000, shot: { pressure: 8, flow: 2.1, weight: 36 } }, - ], - }, - { - id: 'shot-2', - time: Date.parse('2026-01-02T09:00:00Z') / 1000, - name: 'Chocolate Cruise', - file: 'shot-2.json', - profile: { id: 'profile-2', name: 'Chocolate Cruise', final_weight: 38 }, - data: [], - }, - { - id: 'shot-3', - time: Date.parse('2026-01-03T11:00:00Z') / 1000, - name: 'Turbo Bloom', - file: 'shot-3.json', - profile: { id: 'profile-1', name: 'Turbo Bloom', final_weight: 36 }, - data: [], - }, - ] -} - -let restoreFetch = () => {} - -function installInterceptor(machineFetch = createMachineFetch()) { - const previousFetch = window.fetch - window.fetch = machineFetch as unknown as typeof fetch - installDirectModeInterceptor() - restoreFetch = () => { window.fetch = previousFetch } - return machineFetch -} - -describe('DirectModeInterceptor regression harness', () => { - beforeEach(() => { - vi.useFakeTimers() - directMode() - browserAIServiceMocks.isConfigured.mockReset() - browserAIServiceMocks.isConfigured.mockReturnValue(false) - browserAIServiceMocks.analyzeShot.mockReset() - browserAIServiceMocks.generateProfile.mockReset() - browserAIServiceMocks.generateImage.mockReset() - localStorage.clear() - restoreFetch = () => {} - vi.spyOn(console, 'warn').mockImplementation(() => {}) - }) - - afterEach(async () => { - restoreFetch() - vi.clearAllTimers() - vi.useRealTimers() - localStorage.clear() - const db = await getDB() - const dialInTx = db.transaction('dial-in-sessions', 'readwrite') - await dialInTx.store.clear() - await dialInTx.done - await Promise.all([ - deleteSetting(STORAGE_KEYS.POUR_OVER_PREFS), - deleteSetting('direct-history-deleted-ids'), - deleteSetting('history-notes:shot-1'), - deleteSetting('history-notes:shot-2'), - deleteSetting('history-notes:shot-3'), - deleteProfileImage('profile-1'), - deleteProfileImage('profile-2'), - ].map((cleanup) => cleanup.catch(() => undefined))) - vi.restoreAllMocks() - }) - - it('can stub Capacitor mode and prefixes native machine API requests', async () => { - capacitorMode('http://192.168.1.50:8080') - const nativeProfileList = [{ id: 'native-profile', name: 'Native Profile' }] - const machineFetch = installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': ({ url }: FetchCall) => ( - url === 'http://192.168.1.50:8080/api/v1/profile/list' - ? jsonResponse(nativeProfileList) - : jsonResponse({ error: `unprefixed request: ${url}` }, 599) - ), - })) - - const response = await window.fetch('/api/v1/profile/list') - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual(nativeProfileList) - expect(machineFetch).toHaveBeenCalledWith('http://192.168.1.50:8080/api/v1/profile/list', undefined) - }) - - it('prefixes native machine API URL and Request inputs while preserving request details', async () => { - capacitorMode('http://192.168.1.51:8080') - const machineFetch = installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': ({ url }: FetchCall) => ( - url === 'http://192.168.1.51:8080/api/v1/profile/list' - ? jsonResponse([{ id: 'url-profile', name: 'URL Profile' }]) - : jsonResponse({ error: `unprefixed URL input: ${url}` }, 599) - ), - 'POST /api/v1/profile/save': async ({ input, method, url }: FetchCall) => { - const body = input instanceof Request ? await input.clone().text() : '' - return url === 'http://192.168.1.51:8080/api/v1/profile/save' - && method === 'POST' - && body === '{"name":"Saved"}' - ? jsonResponse({ saved: true }) - : jsonResponse({ error: `request not preserved: ${method} ${url} ${body}` }, 599) - }, - })) - - const urlResponse = await window.fetch(new URL('/api/v1/profile/list', window.location.origin)) - const requestResponse = await window.fetch(new Request(`${window.location.origin}/api/v1/profile/save`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: 'Saved' }), - })) - - expect(urlResponse.status).toBe(200) - await expect(readJson(urlResponse)).resolves.toEqual([{ id: 'url-profile', name: 'URL Profile' }]) - expect(requestResponse.status).toBe(200) - await expect(readJson(requestResponse)).resolves.toEqual({ saved: true }) - const requestedUrls = machineFetch.mock.calls.map(([input]) => requestUrl(input)) - expect(requestedUrls).toEqual([ - 'http://192.168.1.51:8080/api/v1/profile/list', - 'http://192.168.1.51:8080/api/v1/profile/save', - ]) - }) - - describe('direct dial-in endpoint parity', () => { - it('persists a backend-compatible direct dial-in session lifecycle', async () => { - vi.useRealTimers() - installInterceptor() - - const createResponse = await window.fetch('/api/dialin/sessions', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ - coffee: { roast_level: 'light', origin: 'Kenya', process: 'washed' }, - profile_name: 'Turbo Bloom', - }), - }) - const created = await readJson<{ - id: string - coffee: Record - profile_name: string - iterations: unknown[] - status: string - created_at: string - updated_at: string - }>(createResponse) - - expect(createResponse.status).toBe(201) - expect(created).toMatchObject({ - id: expect.any(String), - coffee: { roast_level: 'light', origin: 'Kenya', process: 'washed' }, - profile_name: 'Turbo Bloom', - iterations: [], - status: 'active', - created_at: expect.any(String), - updated_at: expect.any(String), - }) - - const listActive = await window.fetch('/api/dialin/sessions?status=active') - await expect(readJson(listActive)).resolves.toEqual({ sessions: [created] }) - - const iterationResponse = await window.fetch(`/api/dialin/sessions/${created.id}/iterations`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ - taste: { x: -0.45, y: 0.35, descriptors: ['sour', 'strong'], notes: 'Sharp' }, - shot_ref: 'shot-1', - }), - }) - - expect(iterationResponse.status).toBe(201) - await expect(readJson(iterationResponse)).resolves.toMatchObject({ - iteration_number: 1, - shot_ref: 'shot-1', - taste: { x: -0.45, y: 0.35, descriptors: ['sour', 'strong'], notes: 'Sharp' }, - recommendations: [], - timestamp: expect.any(String), - }) - - const recommendResponse = await window.fetch(`/api/dialin/sessions/${created.id}/recommend`, { - method: 'POST', - }) - const recommendationBody = await readJson<{ recommendations: string[]; source: string }>(recommendResponse) - expect(recommendationBody).toEqual({ - recommendations: [ - 'Grind finer (2-3 steps)', - 'Increase temperature by 1-2°C', - 'Decrease dose by 0.3-0.5g', - ], - source: 'rules', - }) - - const updateResponse = await window.fetch(`/api/dialin/sessions/${created.id}/iterations/1/recommendations`, { - method: 'PUT', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ recommendations: ['Try a shorter ratio'] }), - }) - await expect(readJson(updateResponse)).resolves.toMatchObject({ - iteration_number: 1, - recommendations: ['Try a shorter ratio'], - }) - - const getResponse = await window.fetch(`/api/dialin/sessions/${created.id}`) - await expect(readJson(getResponse)).resolves.toMatchObject({ - id: created.id, - status: 'active', - iterations: [ - expect.objectContaining({ - iteration_number: 1, - recommendations: ['Try a shorter ratio'], - }), - ], - }) - - const completeResponse = await window.fetch(`/api/dialin/sessions/${created.id}/complete`, { - method: 'POST', - }) - await expect(readJson(completeResponse)).resolves.toMatchObject({ - id: created.id, - status: 'completed', - }) - - const completedList = await window.fetch('/api/dialin/sessions?status=completed') - await expect(readJson(completedList)).resolves.toEqual({ - sessions: [expect.objectContaining({ id: created.id, status: 'completed' })], - }) - - const deleteResponse = await window.fetch(`/api/dialin/sessions/${created.id}`, { method: 'DELETE' }) - await expect(readJson(deleteResponse)).resolves.toEqual({ deleted: true }) - expect((await window.fetch(`/api/dialin/sessions/${created.id}`)).status).toBe(404) - }) - - it('returns backend-compatible errors for missing and empty direct dial-in sessions', async () => { - vi.useRealTimers() - installInterceptor() - - const missingResponse = await window.fetch('/api/dialin/sessions/missing/recommend', { method: 'POST' }) - expect(missingResponse.status).toBe(404) - await expect(readJson(missingResponse)).resolves.toEqual({ detail: 'Session not found' }) - - const createResponse = await window.fetch('/api/dialin/sessions', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ coffee: { roast_level: 'medium' } }), - }) - const created = await readJson<{ id: string }>(createResponse) - const emptyResponse = await window.fetch(`/api/dialin/sessions/${created.id}/recommend`, { method: 'POST' }) - - expect(emptyResponse.status).toBe(400) - await expect(readJson(emptyResponse)).resolves.toEqual({ detail: 'No iterations to recommend from' }) - }) - - it('supports backend-compatible unprefixed dial-in route aliases', async () => { - vi.useRealTimers() - const machineFetch = installInterceptor(createMachineFetch({ - '/dialin/sessions': jsonResponse({ delegated: true }, 599), - })) - - const createResponse = await window.fetch('/dialin/sessions', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ coffee: { roast_level: 'medium' } }), - }) - const created = await readJson<{ id: string; status: string }>(createResponse) - - expect(createResponse.status).toBe(201) - expect(created.status).toBe('active') - - const iterationResponse = await window.fetch(`/dialin/sessions/${created.id}/iterations`, { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ taste: { x: 0, y: 0, descriptors: [] } }), - }) - expect(iterationResponse.status).toBe(201) - - const recommendResponse = await window.fetch(`/dialin/sessions/${created.id}/recommend`, { method: 'POST' }) - await expect(readJson(recommendResponse)).resolves.toEqual({ - recommendations: ['Looking good! Small tweaks only — try ±0.5°C or ±0.2g dose'], - source: 'rules', - }) - - const getResponse = await window.fetch(`/dialin/sessions/${created.id}`) - await expect(readJson(getResponse)).resolves.toMatchObject({ - id: created.id, - iterations: [expect.objectContaining({ - recommendations: ['Looking good! Small tweaks only — try ±0.5°C or ±0.2g dose'], - })], - }) - expect(machineFetch).not.toHaveBeenCalled() - }) - }) - - describe('direct recommendation endpoint parity', () => { - it.each([ - ['/api/profiles/recommend', (form: FormData) => { - form.append('tags', 'bright') - form.append('tags', 'fruity') - form.append('limit', '5') - }], - ['/api/profiles/find-similar', (form: FormData) => { - form.append('profile_name', 'Turbo Bloom') - form.append('limit', '5') - }], - ] as const)('%s returns non-empty recommendations in direct mode', async (endpoint, fillForm) => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - const form = new FormData() - fillForm(form) - - const response = await window.fetch(endpoint, { method: 'POST', body: form }) - - expect(response.status).toBe(200) - const body = await readJson<{ status: string; recommendations: unknown[]; count: number }>(response) - expect(body).toMatchObject({ - status: 'success', - recommendations: expect.any(Array), - count: expect.any(Number), - }) - expect(body.recommendations).not.toHaveLength(0) - expect(body.count).toBeGreaterThan(0) - }) - - it('extracts available shot recommendations instead of returning a silent empty list', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - const analysisWithRecommendations = [ - '## 4. Profile Recommendations', - 'RECOMMENDATIONS_JSON:', - JSON.stringify([ - { - variable: 'flow', - current_value: 2.1, - recommended_value: 1.8, - stage: 'Bloom', - confidence: 'high', - reason: 'Reduce early-channeling flow.', - }, - ]), - 'END_RECOMMENDATIONS_JSON', - ].join('\n') - localStorage.setItem(STORAGE_KEYS.ANALYSIS_CACHE, JSON.stringify({ - 'Turbo Bloom::shot-1.json': analysisWithRecommendations, - })) - const form = new FormData() - form.append('profile_name', 'Turbo Bloom') - form.append('shot_filename', 'shot-1.json') - form.append('analysis', analysisWithRecommendations) - - const response = await window.fetch('/api/shots/analyze-recommendations', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - const body = await readJson<{ recommendations: unknown[]; total: number; patchable_count: number }>(response) - expect(body.recommendations).toEqual([ - expect.objectContaining({ - variable: 'flow', - current_value: 2.1, - recommended_value: 1.8, - stage: 'Bloom', - confidence: 'high', - is_patchable: true, - }), - ]) - expect(body.total).toBe(1) - expect(body.patchable_count).toBe(1) - }) - - it('uses fuzzy backend-compatible patchability for non-adjustable variables', async () => { - const profileIdent = nestedMachineProfiles()[0] - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': [{ - ...profileIdent, - profile: { - ...profileIdent.profile, - variables: [ - { key: 'info_roast', name: 'Roast Level', type: 'number', value: 3, adjustable: false }, - ], - }, - }], - })) - const analysisWithRecommendations = [ - 'RECOMMENDATIONS_JSON:', - JSON.stringify([ - { - variable: 'roast level', - current_value: 3, - recommended_value: 4, - stage: 'global', - confidence: 'medium', - reason: 'Info-only note should not be patchable.', - }, - ]), - 'END_RECOMMENDATIONS_JSON', - ].join('\n') - const form = new FormData() - form.append('profile_name', 'Turbo Bloom') - form.append('shot_filename', 'shot-1.json') - form.append('analysis', analysisWithRecommendations) - - const response = await window.fetch('/api/shots/analyze-recommendations', { - method: 'POST', - body: form, - }) - - const body = await readJson<{ recommendations: Array<{ is_patchable: boolean }>; patchable_count: number }>(response) - expect(body.recommendations[0]).toMatchObject({ is_patchable: false }) - expect(body.patchable_count).toBe(0) - }) - - it('applies patchable recommendations directly to the machine profile JSON', async () => { - const profileIdent = nestedMachineProfiles()[0] - const editableProfile = { - ...profileIdent, - profile: { - ...profileIdent.profile, - variables: [ - { key: 'flow_bloom', name: 'Bloom Flow', type: 'number', value: 2.1, adjustable: true }, - { key: 'info_note', name: 'Info Note', type: 'number', value: 1, adjustable: false }, - ], - }, - } - let savedProfile: Record | null = null - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': [editableProfile], - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - savedProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - const form = new FormData() - form.append('recommendations', JSON.stringify([ - { variable: 'flow_bloom', recommended_value: 1.8, stage: 'Bloom' }, - { variable: 'temperature', recommended_value: 94, stage: 'global' }, - { variable: 'info_note', recommended_value: 5, stage: 'global' }, - ])) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/apply-recommendations', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toMatchObject({ - status: 'success', - applied: [ - { variable: 'flow_bloom', stage: 'Bloom', value: 1.8 }, - { variable: 'temperature', stage: 'global', value: 94 }, - ], - skipped: [ - { variable: 'info_note', reason: 'info-only / not adjustable' }, - ], - }) - expect(savedProfile).toMatchObject({ - name: 'Turbo Bloom', - temperature: 94, - variables: expect.arrayContaining([ - expect.objectContaining({ key: 'flow_bloom', value: 1.8 }), - ]), - }) - }) - - it('applies stage trigger and limit recommendations that direct analysis marks patchable', async () => { - const profileIdent = nestedMachineProfiles()[0] - const editableProfile = { - ...profileIdent, - profile: { - ...profileIdent.profile, - stages: [ - { - name: 'Bloom', - type: 'flow', - key: 'flow_bloom', - dynamics: { points: [[0, 2.1]], over: 'time', interpolation: 'linear' }, - exit_triggers: [{ type: 'weight', value: 5, relative: false, comparison: '>=' }], - limits: [{ type: 'pressure', value: 9 }], - }, - ], - }, - } - let savedProfile: Record | null = null - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': [editableProfile], - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - savedProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - const form = new FormData() - form.append('recommendations', JSON.stringify([ - { variable: 'exit_weight', recommended_value: 8, stage: 'Bloom' }, - { variable: 'limit_pressure', recommended_value: 7.5, stage: 'Bloom' }, - ])) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/apply-recommendations', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toMatchObject({ - status: 'success', - applied: [ - { variable: 'exit_weight', stage: 'Bloom', value: 8 }, - { variable: 'limit_pressure', stage: 'Bloom', value: 7.5 }, - ], - }) - expect(savedProfile).toMatchObject({ - stages: [ - expect.objectContaining({ - exit_triggers: [expect.objectContaining({ type: 'weight', value: 8 })], - limits: [expect.objectContaining({ type: 'pressure', value: 7.5 })], - }), - ], - }) - }) - - it('resolves an invented positional variable id to the real key by type and current value', async () => { - const profileIdent = nestedMachineProfiles()[0] - const editableProfile = { - ...profileIdent, - profile: { - ...profileIdent.profile, - variables: [ - { key: 'pressure_Max Pressure', name: 'Max Pressure', type: 'pressure', value: 6, adjustable: true }, - { key: 'pressure_PreBrew pressure', name: 'PreBrew pressure', type: 'pressure', value: 1.8, adjustable: true }, - ], - }, - } - let savedProfile: Record | null = null - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': [editableProfile], - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - savedProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - const form = new FormData() - // Model invented "pressure_2" instead of the real "pressure_Max Pressure". - form.append('recommendations', JSON.stringify([ - { variable: 'pressure_2', current_value: 6, recommended_value: 5, stage: 'Pressure Ramp Up' }, - ])) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/apply-recommendations', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toMatchObject({ - status: 'success', - applied: [ - { variable: 'pressure_Max Pressure', value: 5, matched_from: 'pressure_2' }, - ], - }) - expect(savedProfile).toMatchObject({ - variables: expect.arrayContaining([ - expect.objectContaining({ key: 'pressure_Max Pressure', value: 5 }), - expect.objectContaining({ key: 'pressure_PreBrew pressure', value: 1.8 }), - ]), - }) - }) - - it('reports no_changes (not success) when an invented variable cannot be resolved', async () => { - const profileIdent = nestedMachineProfiles()[0] - const editableProfile = { - ...profileIdent, - profile: { - ...profileIdent.profile, - variables: [ - { key: 'flow_bloom', name: 'Bloom Flow', type: 'flow', value: 2.1, adjustable: true }, - ], - }, - } - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': [editableProfile], - 'POST /api/v1/profile/save': () => jsonResponse({ ok: true }), - })) - const form = new FormData() - // No pressure variable exists, so this cannot be resolved. - form.append('recommendations', JSON.stringify([ - { variable: 'pressure_2', current_value: 6, recommended_value: 5, stage: 'Ghost Stage' }, - ])) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/apply-recommendations', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toMatchObject({ - status: 'no_changes', - applied: [], - skipped: [{ variable: 'pressure_2', reason: 'variable not found in profile' }], - }) - }) - - it('uploads and caches direct profile images on the machine profile', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - const form = new FormData() - const uploadedImage = validPngBlob() - form.append('file', uploadedImage, 'profile-image.png') - - const uploadResponse = await window.fetch('/api/profile/Turbo%20Bloom/image', { - method: 'POST', - body: form, - }) - const imageResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - - expect(uploadResponse.status).toBe(200) - await expect(readJson(uploadResponse)).resolves.toMatchObject({ - status: 'success', - profile_id: 'profile-1', - image_size: expect.any(Number), - }) - // Image is saved to local IndexedDB, not to the machine profile - expect(imageResponse.status).toBe(200) - await expect(imageResponse.arrayBuffer()).resolves.toHaveProperty('byteLength', uploadedImage.size) - }) - - it('applies generated direct profile image previews to the machine profile', async () => { - vi.useRealTimers() - browserAIServiceMocks.isConfigured.mockReturnValue(true) - const generatedImage = validPngBlob() - browserAIServiceMocks.generateImage.mockResolvedValue(generatedImage) - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - - const previewResponse = await window.fetch( - '/api/profile/Turbo%20Bloom/generate-image?style=modern&tags=bright%2Cfruit&preview=true', - { method: 'POST' }, - ) - const previewBody = await readJson<{ image_data: string }>(previewResponse) - const applyResponse = await window.fetch('/api/profile/Turbo%20Bloom/apply-image', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ image_data: previewBody.image_data }), - }) - const imageResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - - expect(previewResponse.status).toBe(200) - expect(previewBody.image_data).toMatch(/^data:image\/png;base64,/) - expect(browserAIServiceMocks.generateImage).toHaveBeenCalledWith({ - profileName: 'Turbo Bloom', - style: 'modern', - tags: ['bright', 'fruit'], - preview: true, - }) - expect(applyResponse.status).toBe(200) - await expect(readJson(applyResponse)).resolves.toMatchObject({ - status: 'success', - profile_id: 'profile-1', - }) - // Image is saved to local IndexedDB, not to the machine profile - expect(imageResponse.status).toBe(200) - await expect(imageResponse.arrayBuffer()).resolves.toHaveProperty('byteLength', generatedImage.size) - }) - - it('does not let unapplied generated previews shadow the machine profile image', async () => { - vi.useRealTimers() - machineModeMocks.getDefaultMachineUrl.mockReturnValue('http://machine.local:8080') - browserAIServiceMocks.isConfigured.mockReturnValue(true) - browserAIServiceMocks.generateImage.mockResolvedValue(validPngBlob()) - let imageFetches = 0 - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - 'GET /profile/profile-1.png': () => { - imageFetches += 1 - return new Response('machine-image', { headers: { 'Content-Type': 'image/png' } }) - }, - })) - - const previewResponse = await window.fetch( - '/api/profile/Turbo%20Bloom/generate-image?style=modern&tags=bright&preview=true', - { method: 'POST' }, - ) - const imageResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - - expect(previewResponse.status).toBe(200) - expect(imageResponse.status).toBe(200) - await expect(imageResponse.text()).resolves.toBe('machine-image') - expect(imageFetches).toBe(1) - }) - - it('rejects oversized and malformed direct profile images before saving', async () => { - vi.useRealTimers() - const saveRoute = vi.fn(() => jsonResponse({ ok: true })) - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - 'POST /api/v1/profile/save': saveRoute, - })) - const oversizedForm = new FormData() - oversizedForm.append('file', new Blob([new Uint8Array((10 * 1024 * 1024) + 1)], { type: 'image/png' }), 'huge.png') - - const oversizedResponse = await window.fetch('/api/profile/Turbo%20Bloom/image', { - method: 'POST', - body: oversizedForm, - }) - const malformedResponse = await window.fetch('/api/profile/Turbo%20Bloom/apply-image', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ image_data: 'data:image/png;base64,bm90LWFjdHVhbC1pbWFnZQ==' }), - }) - - expect(oversizedResponse.status).toBe(413) - expect(malformedResponse.status).toBe(400) - expect(saveRoute).not.toHaveBeenCalled() - }) - - it('rejects oversized apply-image data URIs before decoding payloads', async () => { - vi.useRealTimers() - const saveRoute = vi.fn(() => jsonResponse({ ok: true })) - const atobSpy = vi.spyOn(globalThis, 'atob').mockImplementation(() => { - throw new Error('oversized payload should not be decoded') - }) - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - 'POST /api/v1/profile/save': saveRoute, - })) - - const oversizedPayload = 'a'.repeat(Math.ceil(((10 * 1024 * 1024) + 1) / 3) * 4) - const response = await window.fetch('/api/profile/Turbo%20Bloom/apply-image', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ image_data: `data:image/png;base64,${oversizedPayload}` }), - }) - - expect(response.status).toBe(413) - expect(atobSpy).not.toHaveBeenCalled() - expect(saveRoute).not.toHaveBeenCalled() - }) - }) - - it('returns a contract-compatible no-op profile sync result in direct mode', async () => { - installInterceptor() - - const response = await window.fetch('/api/profiles/sync', { method: 'POST' }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - status: 'success', - new: [], - updated: [], - orphaned: [], - }) - }) - - describe('direct profile, history, and pour-over contracts', () => { - it('returns backend-compatible detail errors for invalid pour-over preference bodies', async () => { - installInterceptor() - - const response = await window.fetch('/api/pour-over/preferences', { - method: 'PUT', - headers: { 'Content-Type': 'application/json' }, - body: '{not-json', - }) - - expect(response.status).toBe(400) - await expect(readJson(response)).resolves.toEqual({ - detail: 'Invalid preferences', - }) - }) - - it('returns backend-compatible detail errors for corrupt stored pour-over preferences', async () => { - vi.useRealTimers() - vi.spyOn(console, 'error').mockImplementation(() => {}) - await setSetting(STORAGE_KEYS.POUR_OVER_PREFS, 'not-an-object') - installInterceptor() - - const response = await window.fetch('/api/pour-over/preferences') - - expect(response.status).toBe(500) - const body = await readJson<{ detail: string }>(response) - expect(body.detail).toContain('pour-over preferences') - }) - - it('returns shot dates wrapped in { dates } instead of a raw array', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - vi.useRealTimers() - - const response = await window.fetch('/api/shots/dates') - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - dates: ['2026-01-03', '2026-01-02'], - }) - }) - - it('returns backend-compatible last-shot metadata', async () => { - const [lastShot] = machineHistory() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': [lastShot], - })) - vi.useRealTimers() - - const response = await window.fetch('/api/last-shot') - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - profile_name: 'Turbo Bloom', - date: '2026-01-03', - filename: 'shot-1.json', - timestamp: lastShot.time, - final_weight: 36, - total_time: 30, - }) - }) - - it('returns 404 when direct last-shot has no machine history', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/history/last': jsonResponse({ detail: 'No shots found' }, 404), - })) - vi.useRealTimers() - - const response = await window.fetch('/api/last-shot') - - expect(response.status).toBe(404) - await expect(readJson(response)).resolves.toEqual({ detail: 'No shots found' }) - }) - - it('normalizes nested machine ProfileIdent objects from /api/machine/profiles', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - - const response = await window.fetch('/api/machine/profiles') - - expect(response.status).toBe(200) - const body = await readJson<{ profiles: Array> }>(response) - expect(body.profiles).toEqual([ - expect.objectContaining({ - id: 'profile-1', - name: 'Turbo Bloom', - change_id: 'change-1', - display: expect.objectContaining({ description: 'Bright fruit profile' }), - }), - expect.objectContaining({ - id: 'profile-2', - name: 'Chocolate Cruise', - change_id: 'change-2', - }), - ]) - expect(body.profiles[0]).not.toHaveProperty('profile') - }) - - it('surfaces cached AI sensory tags on /api/machine/profiles (#400)', async () => { - localStorage.setItem( - STORAGE_KEYS.AI_TAGS_CACHE, - JSON.stringify({ 'Turbo Bloom': ['Chocolate', 'Sweet'] }), - ) - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - - const response = await window.fetch('/api/machine/profiles') - const body = await readJson<{ profiles: Array<{ name: string; ai_tags?: string[] }> }>(response) - const turbo = body.profiles.find((p) => p.name === 'Turbo Bloom') - const choco = body.profiles.find((p) => p.name === 'Chocolate Cruise') - expect(turbo?.ai_tags).toEqual(['Chocolate', 'Sweet']) - expect(choco?.ai_tags).toEqual([]) - }) - - it('paginates /api/shots/by-profile via the limit query param over full history', async () => { - // Three Turbo Bloom shots + one other, returned newest-first by the - // machine search endpoint. The short-listing GET is intentionally left - // unregistered so the test proves the POST search (with max_results) is - // what supplies the full history. - const fullHistory = [ - { id: 's1', time: Date.parse('2026-01-01T10:00:00Z') / 1000, name: 'Turbo Bloom', file: 's1.json', profile: { id: 'profile-1', name: 'Turbo Bloom', final_weight: 36 }, data: null }, - { id: 's2', time: Date.parse('2026-01-02T10:00:00Z') / 1000, name: 'Turbo Bloom', file: 's2.json', profile: { id: 'profile-1', name: 'Turbo Bloom', final_weight: 37 }, data: null }, - { id: 's3', time: Date.parse('2026-01-03T10:00:00Z') / 1000, name: 'Turbo Bloom', file: 's3.json', profile: { id: 'profile-1', name: 'Turbo Bloom', final_weight: 38 }, data: null }, - { id: 's4', time: Date.parse('2026-01-04T10:00:00Z') / 1000, name: 'Chocolate Cruise', file: 's4.json', profile: { id: 'profile-2', name: 'Chocolate Cruise', final_weight: 40 }, data: null }, - ] - const historySearch = vi.fn(() => jsonResponse({ history: fullHistory })) - installInterceptor(createMachineFetch({ - 'POST /api/v1/history': historySearch, - })) - vi.useRealTimers() - - // First page: limit=2 returns the two newest Turbo Bloom shots. - const page1 = await window.fetch(`/api/shots/by-profile/${encodeURIComponent('Turbo Bloom')}?limit=2`) - const body1 = await readJson<{ shots: Array<{ filename: string }>; count: number; limit: number }>(page1) - expect(historySearch).toHaveBeenCalled() - expect(body1.limit).toBe(2) - expect(body1.count).toBe(2) - expect(body1.shots.map((s) => s.filename)).toEqual(['s3.json', 's2.json']) - - // "Load more": limit=20 returns all three Turbo Bloom shots (the other - // profile's shot is filtered out), newest-first. - const page2 = await window.fetch(`/api/shots/by-profile/${encodeURIComponent('Turbo Bloom')}?limit=20`) - const body2 = await readJson<{ shots: Array<{ filename: string }>; count: number }>(page2) - expect(body2.count).toBe(3) - expect(body2.shots.map((s) => s.filename)).toEqual(['s3.json', 's2.json', 's1.json']) - }) - - it('applies variable overrides and runs the profile via ephemeral load', async () => { - const profileData = nestedMachineProfiles()[0].profile - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/get/profile-1': profileData, - 'POST /api/v1/profile/load': { ok: true }, - 'GET /api/v1/action/start': { ok: true }, - })) - const form = new FormData() - form.append('overrides_json', JSON.stringify({ temperature: 94 })) - - const response = await window.fetch('/api/machine/run-profile-with-overrides/profile-1', { - method: 'POST', - body: form, - }) - - expect(response.status).toBe(200) - const body = await readJson>(response) - expect(body.status).toBe('success') - expect(body.overrides_applied).toBe(1) - }) - - it('renames visible direct machine profiles through the machine API', async () => { - const profileIdent = nestedMachineProfiles()[0] - let savedProfile: Record | null = null - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/get/profile-1': profileIdent.profile, - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - savedProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - - const response = await window.fetch('/api/machine/profile/profile-1', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: 'Turbo Bloom Mk II' }), - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - status: 'success', - message: "Profile renamed from 'Turbo Bloom' to 'Turbo Bloom Mk II'", - profile_id: 'profile-1', - old_name: 'Turbo Bloom', - new_name: 'Turbo Bloom Mk II', - }) - expect(savedProfile).toMatchObject({ - id: 'profile-1', - name: 'Turbo Bloom Mk II', - }) - }) - - it('invalidates name-based direct profile cache after rename', async () => { - const profileIdent = nestedMachineProfiles()[0] - let machineProfile = profileIdent.profile - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': () => jsonResponse([{ ...profileIdent, profile: machineProfile }]), - 'GET /api/v1/profile/get/profile-1': () => jsonResponse(machineProfile), - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - machineProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - - await window.fetch('/api/machine/profiles') - await window.fetch('/api/machine/profile/profile-1', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: 'Turbo Bloom Mk II' }), - }) - const oldNameResponse = await window.fetch('/api/profile/Turbo%20Bloom') - const newNameResponse = await window.fetch('/api/profile/Turbo%20Bloom%20Mk%20II') - - await expect(readJson(oldNameResponse)).resolves.toMatchObject({ - status: 'not_found', - profile: null, - }) - await expect(readJson(newNameResponse)).resolves.toMatchObject({ - status: 'success', - profile: expect.objectContaining({ - id: 'profile-1', - name: 'Turbo Bloom Mk II', - }), - }) - }) - - it('invalidates the profile list cache after importing a new profile', async () => { - const profiles: ProfileIdent[] = [nestedMachineProfiles()[0]] - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': () => jsonResponse(profiles), - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - const saved = JSON.parse(String(init?.body)) as { id?: string; name?: string } - profiles.push({ - id: saved.id || 'imported-1', - name: saved.name || 'Imported', - profile: saved, - } as unknown as ProfileIdent) - return jsonResponse({ ok: true }) - }, - })) - - // Prime the catalogue cache with the single existing profile. - const first = await window.fetch('/api/machine/profiles') - const firstBody = await readJson<{ profiles: Array<{ name: string }> }>(first) - expect(firstBody.profiles.map((p) => p.name)).toEqual(['Turbo Bloom']) - expect(localStorage.getItem(STORAGE_KEYS.PROFILE_LIST_CACHE)).not.toBeNull() - - // Import a brand-new profile from a file. - const importResponse = await window.fetch('/api/profile/import', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ source: 'file', profile: { id: 'imported-1', name: 'Imported Joy' } }), - }) - expect(importResponse.status).toBe(200) - // Cache must be dropped so the new profile is not hidden behind stale data. - expect(localStorage.getItem(STORAGE_KEYS.PROFILE_LIST_CACHE)).toBeNull() - - // The next catalogue fetch reflects the newly created profile. - const second = await window.fetch('/api/machine/profiles') - const secondBody = await readJson<{ profiles: Array<{ name: string }> }>(second) - expect(secondBody.profiles.map((p) => p.name)).toEqual(['Turbo Bloom', 'Imported Joy']) - }) - - it('persists a new profile order via the machine settings endpoint', async () => { - let savedSettings: Record | null = null - installInterceptor(createMachineFetch({ - 'POST /api/v1/settings': ({ init }: FetchCall) => { - savedSettings = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - - const response = await window.fetch('/api/machine/profiles/order', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ order: ['profile-2', 'profile-1'] }), - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - status: 'success', - order: ['profile-2', 'profile-1'], - }) - expect(savedSettings).toEqual({ profile_order: ['profile-2', 'profile-1'] }) - }) - - it('invalidates the profile list cache after reordering', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': () => jsonResponse(nestedMachineProfiles()), - 'POST /api/v1/settings': () => jsonResponse({ ok: true }), - })) - - await window.fetch('/api/machine/profiles') - expect(localStorage.getItem(STORAGE_KEYS.PROFILE_LIST_CACHE)).not.toBeNull() - - await window.fetch('/api/machine/profiles/order', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ order: ['profile-2', 'profile-1'] }), - }) - - expect(localStorage.getItem(STORAGE_KEYS.PROFILE_LIST_CACHE)).toBeNull() - }) - - it('rejects an empty reorder request before contacting the machine', async () => { - const settingsRoute = vi.fn(() => jsonResponse({ ok: true })) - installInterceptor(createMachineFetch({ - 'POST /api/v1/settings': settingsRoute, - })) - - const response = await window.fetch('/api/machine/profiles/order', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ order: [] }), - }) - - expect(response.status).toBe(400) - expect(settingsRoute).not.toHaveBeenCalled() - }) - - it('rejects empty direct machine profile rename requests before saving', async () => { - const saveRoute = vi.fn(() => jsonResponse({ ok: true })) - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/get/profile-1': nestedMachineProfiles()[0].profile, - 'POST /api/v1/profile/save': saveRoute, - })) - - const response = await window.fetch('/api/machine/profile/profile-1', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ name: ' ' }), - }) - - expect(response.status).toBe(400) - await expect(readJson(response)).resolves.toEqual({ - detail: "At least one field to update is required (e.g., 'name')", - }) - expect(saveRoute).not.toHaveBeenCalled() - }) - - it('returns the backend-compatible pour-over prepare identifiers', async () => { - installInterceptor(createMachineFetch({ - 'POST /api/v1/profile/load': { ok: true }, - })) - - const response = await window.fetch('/api/pour-over/prepare', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ - target_weight: 320, - bloom_enabled: true, - bloom_seconds: 35, - dose_grams: 20, - brew_ratio: 16, - }), - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - profile_id: expect.any(String), - profile_name: 'MeticAI Ratio Pour-Over', - }) - }) - - it('routes /api/history/:id detail requests before the broad /api/history list handler', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - - const response = await window.fetch('/api/history/shot-1') - - expect(response.status).toBe(200) - const body = await readJson>(response) - expect(body).toMatchObject({ - id: 'shot-1', - profile_name: 'Turbo Bloom', - profile_json: expect.objectContaining({ name: 'Turbo Bloom' }), - }) - expect(body).not.toHaveProperty('entries') - }) - - it('applies local tombstones for direct history delete and clear routes', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - - const deleteResponse = await window.fetch('/api/history/shot-2', { method: 'DELETE' }) - const afterDeleteList = await window.fetch('/api/history?limit=50&offset=0') - const afterDeleteDetail = await window.fetch('/api/history/shot-2') - const clearResponse = await window.fetch('/api/history', { method: 'DELETE' }) - const afterClearList = await window.fetch('/api/history?limit=50&offset=0') - - await expect(readJson(deleteResponse)).resolves.toEqual({ - status: 'success', - message: 'History entry deleted', - }) - const deletedList = await readJson<{ entries: Array<{ id: string }>; total: number }>(afterDeleteList) - expect(deletedList.entries.map((entry) => entry.id)).not.toContain('shot-2') - expect(deletedList.total).toBe(2) - expect(afterDeleteDetail.status).toBe(404) - await expect(readJson(clearResponse)).resolves.toEqual({ - status: 'success', - message: 'All history cleared', - }) - await expect(readJson(afterClearList)).resolves.toMatchObject({ - entries: [], - total: 0, - }) - }) - - it('falls back to the newest visible last shot when the machine last shot is tombstoned', async () => { - vi.useRealTimers() - const history = machineHistory() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': history, - 'GET /api/v1/history/last': history[2], - })) - - await window.fetch('/api/history/shot-3', { method: 'DELETE' }) - const response = await window.fetch('/api/last-shot') - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - profile_name: 'Turbo Bloom', - date: '2026-01-03', - filename: 'shot-1.json', - timestamp: history[0].time, - final_weight: 36, - total_time: 30, - }) - }) - - it('hides tombstoned shots from profile lists, shot data, and direct analysis', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - - await window.fetch('/api/history/shot-1', { method: 'DELETE' }) - const byProfileResponse = await window.fetch('/api/shots/by-profile/Turbo%20Bloom') - const shotDataResponse = await window.fetch('/api/shots/data/2026-01-03/shot-1.json') - const form = new FormData() - form.append('profile_name', 'Turbo Bloom') - form.append('shot_date', '2026-01-03') - form.append('shot_filename', 'shot-1.json') - const analyzeResponse = await window.fetch('/api/shots/analyze', { - method: 'POST', - body: form, - }) - - const byProfileBody = await readJson<{ shots: Array<{ filename: string }>; count: number }>(byProfileResponse) - expect(byProfileBody.shots.map((shot) => shot.filename)).toEqual(['shot-3.json']) - expect(byProfileBody.count).toBe(1) - expect(shotDataResponse.status).toBe(404) - await expect(readJson(shotDataResponse)).resolves.toEqual({ detail: 'Shot not found' }) - await expect(readJson(analyzeResponse)).resolves.toEqual({ - status: 'error', - message: 'Shot not found', - }) - }) - - it('returns profile info with stages and target curves without relying on a prewarmed cache', async () => { - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - })) - - const profileResponse = await window.fetch('/api/profile/Turbo%20Bloom?include_stages=true') - const curvesResponse = await window.fetch('/api/profile/Turbo%20Bloom/target-curves') - - expect(profileResponse.status).toBe(200) - await expect(readJson(profileResponse)).resolves.toEqual({ - status: 'success', - profile: expect.objectContaining({ - id: 'profile-1', - name: 'Turbo Bloom', - stages: expect.arrayContaining([ - expect.objectContaining({ name: 'Bloom', type: 'flow' }), - ]), - }), - }) - expect(curvesResponse.status).toBe(200) - const curvesBody = await readJson<{ status: string; target_curves: Array> }>(curvesResponse) - expect(curvesBody.status).toBe('success') - expect(curvesBody.target_curves).toEqual( - expect.arrayContaining([ - expect.objectContaining({ stage_name: 'Bloom', target_flow: 2.1 }), - expect.objectContaining({ stage_name: 'Ramp', target_pressure: 8 }), - ]), - ) - }) - - it('fetches full stages + variables by id when the profile list omits them', async () => { - // Real machines return profile/list entries without full stage data, so - // the pre-shot breakdown and auto-generated description must fall back to - // the get-by-id endpoint. The list here intentionally has empty stages. - const listWithoutStages = [ - { - change_id: 'change-1', - profile: { - id: 'profile-1', - name: 'Turbo Bloom', - author: 'MeticAI', - author_id: 'author-1', - previous_authors: [], - display: { description: 'Bright fruit profile' }, - temperature: 93, - final_weight: 36, - variables: [], - stages: [], - }, - }, - ] as unknown as ProfileIdent[] - - const fullProfile = { - id: 'profile-1', - name: 'Turbo Bloom', - temperature: 93, - final_weight: 36, - variables: [{ name: 'dose', key: 'dose', value: 18 }], - stages: [ - { - name: 'Bloom', - type: 'flow', - key: 'flow_bloom', - dynamics: { points: [[0, 2.1]], over: 'time', interpolation: 'linear' }, - exit_triggers: [], - limits: [], - }, - ], - } - - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': listWithoutStages, - 'GET /api/v1/profile/get/profile-1': fullProfile, - })) - - const response = await window.fetch('/api/profile/Turbo%20Bloom?include_stages=true') - expect(response.status).toBe(200) - const body = await readJson<{ - status: string - profile: { stages: Array>; variables: Array> } - }>(response) - expect(body.profile.stages).toEqual( - expect.arrayContaining([expect.objectContaining({ name: 'Bloom' })]), - ) - expect(body.profile.variables).toEqual( - expect.arrayContaining([expect.objectContaining({ name: 'dose' })]), - ) - }) - - it('fetches full stages by id for target-curves when the profile list omits them', async () => { - // Real machines return profile/list entries without stages, so the - // target-curves overlay must fall back to the get-by-id endpoint rather - // than returning an empty curve set. - const listWithoutStages = [ - { - change_id: 'change-1', - profile: { - id: 'profile-1', - name: 'Turbo Bloom', - author: 'MeticAI', - author_id: 'author-1', - previous_authors: [], - display: { description: 'Bright fruit profile' }, - temperature: 93, - final_weight: 36, - variables: [], - stages: [], - }, - }, - ] as unknown as ProfileIdent[] - - const fullProfile = { - id: 'profile-1', - name: 'Turbo Bloom', - temperature: 93, - final_weight: 36, - variables: [], - stages: [ - { - name: 'Bloom', - type: 'flow', - key: 'flow_bloom', - dynamics: { points: [[0, 2.1]], over: 'time', interpolation: 'linear' }, - exit_triggers: [{ type: 'time', value: 10 }], - limits: [], - }, - ], - } - - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': listWithoutStages, - 'GET /api/v1/profile/get/profile-1': fullProfile, - })) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/target-curves') - expect(response.status).toBe(200) - const body = await readJson<{ status: string; target_curves: Array> }>(response) - expect(body.status).toBe('success') - expect(body.target_curves.length).toBeGreaterThan(0) - expect(body.target_curves).toEqual( - expect.arrayContaining([expect.objectContaining({ stage_name: 'Bloom', target_flow: 2.1 })]), - ) - }) - - it('renders a short dynamics ramp over real time instead of compressing it to instant (#483)', async () => { - const rampProfile = [ - { - change_id: 'change-ramp', - profile: { - id: 'profile-ramp', - name: 'Ramp Hold', - author: 'MeticAI', - author_id: 'author-ramp', - previous_authors: [], - display: { description: 'ramp then hold' }, - temperature: 93, - final_weight: 36, - variables: [], - stages: [ - { - name: 'Ramp', - type: 'pressure', - key: 'pressure_ramp', - // 3→9 bar over the first 2s, then hold at 9 bar to ~30s - dynamics: { points: [[0, 3], [2, 9], [30, 9]], over: 'time', interpolation: 'linear' }, - exit_triggers: [{ type: 'time', value: 8 }], - limits: [], - }, - ], - }, - }, - ] as unknown as ProfileIdent[] - - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': rampProfile, - })) - - const response = await window.fetch('/api/profile/Ramp%20Hold/target-curves') - expect(response.status).toBe(200) - const body = await readJson<{ target_curves: Array<{ time: number; target_pressure?: number }> }>(response) - const curve = body.target_curves - - // The ramp's end (9 bar) must land at its real 2s offset — the old scaling - // (duration / maxX) compressed it toward t=0 (~0.53s), rendering it instant. - const nineBar = curve.find(point => point.target_pressure === 9) - expect(nineBar).toBeDefined() - expect(nineBar!.time).toBeCloseTo(2, 1) - - // Stage starts at 3 bar and the final value is held to the 8s exit. - expect(curve[0]).toMatchObject({ time: 0, target_pressure: 3 }) - expect(curve.some(point => point.time === 8 && point.target_pressure === 9)).toBe(true) - }) - - it('preserves flat profile.image in direct profile info and image proxy routes', async () => { - vi.useRealTimers() - machineModeMocks.getDefaultMachineUrl.mockReturnValue('http://machine.local:8080') - const flatImageProfiles: ProfileIdent[] = [{ - ...nestedMachineProfiles()[0], - profile: { - ...nestedMachineProfiles()[0].profile, - display: { description: 'Flat image profile' }, - image: '/profile/flat-profile.png', - } as ProfileIdent['profile'] & { image: string }, - }] - let imageFetches = 0 - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': flatImageProfiles, - 'GET /profile/flat-profile.png': ({ url }: FetchCall) => { - imageFetches += 1 - return url === 'http://machine.local:8080/profile/flat-profile.png' - ? new Response('flat-image-bytes', { headers: { 'Content-Type': 'image/png' } }) - : jsonResponse({ detail: `wrong image URL: ${url}` }, 599) - }, - })) - - const profileResponse = await window.fetch('/api/profile/Turbo%20Bloom') - const imageResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - - expect(profileResponse.status).toBe(200) - await expect(readJson(profileResponse)).resolves.toEqual({ - status: 'success', - profile: expect.objectContaining({ - id: 'profile-1', - name: 'Turbo Bloom', - image: '/profile/flat-profile.png', - }), - }) - expect(imageResponse.status).toBe(200) - await expect(imageResponse.text()).resolves.toBe('flat-image-bytes') - expect(imageFetches).toBe(1) - }) - - it('proxies and caches profile images from a cold direct profile cache', async () => { - vi.useRealTimers() - machineModeMocks.getDefaultMachineUrl.mockReturnValue('http://machine.local:8080') - let imageFetches = 0 - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - 'GET /profile/profile-1.png': ({ url }: FetchCall) => { - imageFetches += 1 - return url === 'http://machine.local:8080/profile/profile-1.png' - ? new Response('image-bytes', { headers: { 'Content-Type': 'image/png' } }) - : jsonResponse({ detail: `wrong image URL: ${url}` }, 599) - }, - })) - - const firstResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - const secondResponse = await window.fetch('/api/profile/Turbo%20Bloom/image-proxy') - - expect(firstResponse.status).toBe(200) - expect(firstResponse.headers.get('content-type')).toContain('image/png') - await expect(firstResponse.text()).resolves.toBe('image-bytes') - expect(secondResponse.status).toBe(200) - await expect(secondResponse.text()).resolves.toBe('image-bytes') - expect(imageFetches).toBe(1) - }) - - it('updates a machine profile through the direct profile edit route', async () => { - let savedProfile: Record | null = null - installInterceptor(createMachineFetch({ - 'GET /api/v1/profile/list': nestedMachineProfiles(), - 'POST /api/v1/profile/save': ({ init }: FetchCall) => { - savedProfile = JSON.parse(String(init?.body)) - return jsonResponse({ ok: true }) - }, - })) - - const response = await window.fetch('/api/profile/Turbo%20Bloom/edit', { - method: 'PUT', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ - name: 'Turbo Bloom v2', - temperature: 94, - final_weight: 37, - variables: [{ key: 'flow_bloom', value: 1.8 }], - author: 'Direct Barista', - }), - }) - - expect(response.status).toBe(200) - const body = await readJson<{ status: string; profile: Record }>(response) - expect(body).toMatchObject({ - status: 'success', - profile: { - id: 'profile-1', - name: 'Turbo Bloom v2', - temperature: 94, - final_weight: 37, - author: 'Direct Barista', - }, - }) - expect(savedProfile).toMatchObject({ - id: 'profile-1', - name: 'Turbo Bloom v2', - temperature: 94, - final_weight: 37, - author: 'Direct Barista', - }) - }) - - it('persists direct shot annotations with rating and exposes summaries', async () => { - vi.useRealTimers() - installInterceptor() - - const patchResponse = await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ annotation: 'Sweet and balanced', rating: 4 }), - }) - const getResponse = await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation') - const summaryResponse = await window.fetch('/api/shots/annotations') - const clearRatingResponse = await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ rating: null }), - }) - const deleteResponse = await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation', { - method: 'DELETE', - }) - const afterDeleteResponse = await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation') - - expect(patchResponse.status).toBe(200) - await expect(readJson(patchResponse)).resolves.toEqual({ - status: 'success', - annotation: 'Sweet and balanced', - rating: 4, - updated_at: expect.any(String), - }) - await expect(readJson(getResponse)).resolves.toMatchObject({ - status: 'success', - annotation: 'Sweet and balanced', - rating: 4, - }) - await expect(readJson(summaryResponse)).resolves.toMatchObject({ - status: 'success', - annotations: { - '2026-01-03/shot-1.json': { has_annotation: true, rating: 4 }, - }, - }) - await expect(readJson(clearRatingResponse)).resolves.toMatchObject({ - status: 'success', - annotation: 'Sweet and balanced', - rating: null, - }) - await expect(readJson(deleteResponse)).resolves.toEqual({ status: 'success', deleted: true }) - await expect(readJson(afterDeleteResponse)).resolves.toEqual({ - status: 'success', - annotation: null, - rating: null, - updated_at: null, - }) - }) - - it('marks rating-only annotations as annotated in recent-shot routes', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - - await window.fetch('/api/shots/2026-01-03/shot-1.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ rating: 4 }), - }) - const recentResponse = await window.fetch('/api/shots/recent') - const byProfileResponse = await window.fetch('/api/shots/recent/by-profile') - - const recentBody = await readJson<{ shots: Array<{ filename: string; has_annotation: boolean }> }>(recentResponse) - expect(recentBody.shots.find((shot) => shot.filename === 'shot-1.json')).toMatchObject({ - has_annotation: true, - }) - const byProfileBody = await readJson<{ - profiles: Array<{ shots: Array<{ filename: string; has_annotation: boolean }> }> - }>(byProfileResponse) - const groupedShot = byProfileBody.profiles - .flatMap((profile) => profile.shots) - .find((shot) => shot.filename === 'shot-1.json') - expect(groupedShot).toMatchObject({ has_annotation: true }) - }) - - it('rejects invalid direct annotation ratings and clears empty annotations', async () => { - vi.useRealTimers() - installInterceptor() - - const invalidRatingResponse = await window.fetch('/api/shots/2026-01-03/shot-clear.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ rating: 6 }), - }) - const initialResponse = await window.fetch('/api/shots/2026-01-03/shot-clear.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ annotation: ' Keep this note ', rating: 3 }), - }) - const clearRatingResponse = await window.fetch('/api/shots/2026-01-03/shot-clear.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ rating: null }), - }) - const clearResponse = await window.fetch('/api/shots/2026-01-03/shot-clear.json/annotation', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ annotation: ' ' }), - }) - const afterClearResponse = await window.fetch('/api/shots/2026-01-03/shot-clear.json/annotation') - const summariesResponse = await window.fetch('/api/shots/annotations') - - expect(invalidRatingResponse.status).toBe(422) - expect(initialResponse.status).toBe(200) - await expect(readJson(clearRatingResponse)).resolves.toMatchObject({ - status: 'success', - annotation: 'Keep this note', - rating: null, - }) - expect(clearResponse.status).toBe(200) - await expect(readJson(clearResponse)).resolves.toEqual({ - status: 'success', - annotation: null, - rating: null, - updated_at: null, - }) - await expect(readJson(afterClearResponse)).resolves.toEqual({ - status: 'success', - annotation: null, - rating: null, - updated_at: null, - }) - const summaries = await readJson<{ annotations: Record }>(summariesResponse) - expect(summaries.annotations).not.toHaveProperty('2026-01-03/shot-clear.json') - }) - - it('persists direct history notes and merges them into history detail responses', async () => { - vi.useRealTimers() - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': machineHistory(), - })) - - const patchResponse = await window.fetch('/api/history/shot-1/notes', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ notes: 'Needs a finer grind next time.' }), - }) - const notesResponse = await window.fetch('/api/history/shot-1/notes') - const detailResponse = await window.fetch('/api/history/shot-1') - - expect(patchResponse.status).toBe(200) - await expect(readJson(patchResponse)).resolves.toEqual({ - status: 'success', - notes: 'Needs a finer grind next time.', - notes_updated_at: expect.any(String), - }) - await expect(readJson(notesResponse)).resolves.toMatchObject({ - status: 'success', - notes: 'Needs a finer grind next time.', - }) - await expect(readJson(detailResponse)).resolves.toMatchObject({ - id: 'shot-1', - notes: 'Needs a finer grind next time.', - notes_updated_at: expect.any(String), - }) - }) - - it('returns backend-compatible identifiers when preparing a bundled recipe', async () => { - installInterceptor(createMachineFetch({ - 'POST /api/v1/profile/load': { ok: true }, - })) - - const response = await window.fetch('/api/pour-over/prepare-recipe', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ recipe_slug: 'hoffmann-v2' }), - }) - - expect(response.status).toBe(200) - await expect(readJson(response)).resolves.toEqual({ - profile_id: expect.any(String), - profile_name: 'MeticAI Recipe: Better 1-Cup V60', - }) - }) - - it('uses settled weight from retracting data points for shot metrics', async () => { - vi.useRealTimers() - const historyWithRetraction = [{ - id: 'shot-retract', - time: Date.parse('2026-01-03T10:00:00Z') / 1000, - name: 'Turbo Bloom', - file: 'shot-retract.json', - profile: { - id: 'profile-1', - name: 'Turbo Bloom', - final_weight: 36, - temperature: 93, - }, - data: [ - { time: 0, profile_time: 0, status: 'Bloom', shot: { pressure: 2, flow: 2.1, weight: 0 } }, - { time: 15000, profile_time: 15000, status: 'Bloom', shot: { pressure: 2, flow: 2.0, weight: 12 } }, - { time: 25000, profile_time: 25000, status: 'Ramp', shot: { pressure: 8, flow: 1.5, weight: 28 } }, - { time: 30000, profile_time: 30000, status: 'Ramp', shot: { pressure: 8, flow: 1.2, weight: 33.5 } }, - // Retracting phase — piston retracts, residual liquid drips into cup - { time: 31000, profile_time: 31000, status: 'retracting', shot: { pressure: 0, flow: 0.3, weight: 34.8 } }, - { time: 33000, profile_time: 33000, status: 'retracting', shot: { pressure: 0, flow: 0.1, weight: 35.9 } }, - ], - }] - - installInterceptor(createMachineFetch({ - 'GET /api/v1/history': historyWithRetraction, - })) - - // The last-shot endpoint uses getHistoryMetrics which reads the absolute last data point - const lastShotResponse = await window.fetch('/api/last-shot') - const lastShot = await readJson<{ final_weight: number; total_time: number }>(lastShotResponse) - // Should use the settled weight (35.9g from the last retracting point), not 33.5g from the last active point - expect(lastShot.final_weight).toBe(35.9) - expect(lastShot.total_time).toBe(33) - }) - }) -}) - -describe('computeRichLocalAnalysis dynamics-format parity (#423 nested profiles)', () => { - // A "Slayer at Home"-style extraction: declared flow with an aggressive flow - // target (≥6 ml/s) governed by a pressure limit. Its effective control mode - // must resolve to 'pressure', and profile_max_target must resolve the $var — - // regardless of whether the profile stores dynamics in the flat - // (dynamics_points/dynamics_over) or canonical nested (dynamics.points) shape. - const variables = [ - { key: 'flow_MaxFlowRate', name: 'flow_MaxFlowRate', type: 'flow', value: 10.8 }, - { key: 'pressure_Max', name: 'Max Pressure', type: 'pressure', value: 6 }, - ] - const exitTriggers = [{ type: 'weight', value: 36, comparison: '>=' }] - const limits = [{ type: 'pressure', value: '$pressure_Max' }] - const telemetry = [ - { time: 0, profile_time: 0, status: 'Extraction', shot: { pressure: 0, flow: 0, weight: 0 } }, - { time: 5000, profile_time: 5000, status: 'Extraction', shot: { pressure: 6, flow: 3.2, weight: 8 } }, - { time: 30000, profile_time: 30000, status: 'Extraction', shot: { pressure: 6, flow: 2.1, weight: 36 } }, - ] - const makeEntry = (stage: Record): Parameters[0] => ({ - id: 'shot-slayer', - time: 0, - name: 'Slayer at Home', - profile: { name: 'Slayer at Home', final_weight: 36, temperature: 93, variables, stages: [stage as never] }, - data: telemetry as never, - }) - - const flatStage = { - name: 'Extraction', - type: 'flow', - key: 'flow_extraction', - dynamics_points: [[0, '$flow_MaxFlowRate'], [30, '$flow_MaxFlowRate']], - dynamics_over: 'time', - exit_triggers: exitTriggers, - limits, - } - const nestedStage = { - name: 'Extraction', - type: 'flow', - key: 'flow_extraction', - dynamics: { points: [[0, '$flow_MaxFlowRate'], [30, '$flow_MaxFlowRate']], over: 'time', interpolation: 'linear' }, - exit_triggers: exitTriggers, - limits, - } - - it('resolves the flow target and effective pressure mode for a FLAT-format stage', () => { - const analysis = computeRichLocalAnalysis(makeEntry(flatStage), 'Slayer at Home') as unknown as { - stage_analyses: Array<{ profile_max_target: number | null; profile_target_value: number | null }> - shot_facts: { stages: Array<{ stage_name: string; control_mode?: string; mode_overridden?: boolean }> } - } - expect(analysis.stage_analyses[0].profile_max_target).toBe(10.8) - expect(analysis.stage_analyses[0].profile_target_value).toBe(10.8) - const fact = analysis.shot_facts.stages.find(s => s.stage_name === 'Extraction') - expect(fact?.control_mode).toBe('pressure') - expect(fact?.mode_overridden).toBe(true) - }) - - it('resolves the same for a NESTED-format stage (parity)', () => { - const analysis = computeRichLocalAnalysis(makeEntry(nestedStage), 'Slayer at Home') as unknown as { - stage_analyses: Array<{ profile_max_target: number | null; profile_target_value: number | null }> - shot_facts: { stages: Array<{ stage_name: string; control_mode?: string; mode_overridden?: boolean }> } - } - expect(analysis.stage_analyses[0].profile_max_target).toBe(10.8) - expect(analysis.stage_analyses[0].profile_target_value).toBe(10.8) - const fact = analysis.shot_facts.stages.find(s => s.stage_name === 'Extraction') - expect(fact?.control_mode).toBe('pressure') - expect(fact?.mode_overridden).toBe(true) - }) -}) diff --git a/apps/web/src/services/interceptor/DirectModeInterceptor.ts b/apps/web/src/services/interceptor/DirectModeInterceptor.ts deleted file mode 100644 index 431e81cd..00000000 --- a/apps/web/src/services/interceptor/DirectModeInterceptor.ts +++ /dev/null @@ -1,3871 +0,0 @@ -import { STORAGE_KEYS } from '@/lib/constants' -import { createBrowserAIService } from '@/services/ai/BrowserAIService' -import { getActiveProviderId, getActiveHostedProviderId, getProvider, getProviderForMethod, getProviderModel, isAIConfigured, PROVIDERS } from '@/services/ai/providers' -import { retryWithBackoff, formatGeminiError } from '@/services/ai/retryUtils' -import { AIServiceError } from '@/services/ai/aiErrors' -import { isNativePlatform, getDefaultMachineUrl } from '@/lib/machineMode' -import { CapacitorHttp } from '@capacitor/core' -import { getDirectRequestContext, isMeticAIProxyApiPath, jsonResponse } from './directModeHttp' -import { deriveStructuralTags } from '@/lib/profileAnalysis' -import type { AnalyzableProfile } from '@/lib/profileAnalysis' -import { AI_TAGS_PROMPT, parseAiTags, stripTagsLine } from '@/lib/tags' -import { resolveDescriptionPlaceholders, type ProfileVariable } from '@/lib/descriptionText' -import { buildShotFacts } from '@/lib/shotFacts' -import { lintShotAnalysis, repairShotAnalysis, validateAgainstFacts, checkStructure } from '@/lib/analysisLint' -import { buildAnalyzeLlmPrompt } from './analyzeLlmPrompt' -import { buildTasteContext } from '../ai/prompts' -import { POUR_OVER_RECIPES } from '@metic/core/data/recipes' -import { - addDirectDialInIteration, - clearDirectHistory, - completeDirectDialInSession, - createDirectDialInSession, - DirectStorageValidationError, - deleteDirectDialInSession, - deleteDirectHistoryEntry, - deleteDirectShotAnnotation, - generateDirectDialInRecommendations, - getDirectAnnotationSummaries, - getDirectDeletedHistoryIds, - getDirectDialInSession, - getDirectHistoryNotes, - getDirectProfileImage, - getDirectPourOverPreferences, - getDirectShotAnnotation, - listDirectDialInSessions, - saveDirectHistoryNotes, - saveDirectPourOverPreferences, - saveDirectProfileImage, - saveDirectShotAnnotation, - updateDirectDialInRecommendations, -} from './directModeStorage' - -// ── Private helpers ───────────────────────────────────────────────────────── - -interface CachedProfile { - id: string - name: string - change_id?: string - author?: string - temperature?: number - final_weight?: number - variables?: Array> - stages?: Array> - display?: { image?: string; description?: string; shortDescription?: string; accentColor?: string } - [key: string]: unknown -} - -interface MachineHistoryEntry { - id: string - time: number - name?: string - file?: string - profile?: Record - data?: Array<{ shot?: { weight?: number }; time?: number; profile_time?: number }> -} - -function isRecord(value: unknown): value is Record { - return typeof value === 'object' && value !== null && !Array.isArray(value) -} - -/** - * Provider-aware "not configured" message. The single API-key field auto-detects - * the provider, so the error must name the *active* provider (e.g. OpenAI) rather - * than always blaming Gemini. On-device AI has no key, so it gets its own copy. - */ -function aiNotConfiguredMessage(): string { - const id = getActiveProviderId() - if (id === 'local') return 'On-device AI is not available on this device.' - return `${PROVIDERS[id].label} API key not configured. Please set your API key in Settings.` -} - -function normalizeProfileIdent(value: unknown): CachedProfile | null { - if (!isRecord(value)) return null - const nestedProfile = isRecord(value.profile) ? value.profile : value - const id = nestedProfile.id - const name = nestedProfile.name - if (typeof id !== 'string' || typeof name !== 'string') return null - const normalized: CachedProfile = { - ...nestedProfile, - id, - name, - } - if (typeof value.change_id === 'string') normalized.change_id = value.change_id - return normalized -} - -function stripDirectProfileMetadata(profile: CachedProfile): Record { - const machineProfile: Record = { ...profile } - delete machineProfile.change_id - delete machineProfile.in_history - delete machineProfile.has_description - return machineProfile -} - -function getDirectProfileImagePath(profile: CachedProfile): string | undefined { - if (typeof profile.display?.image === 'string' && profile.display.image.trim()) { - return profile.display.image - } - if (typeof profile.image === 'string' && profile.image.trim()) { - return profile.image - } - return undefined -} - -function normalizeHistoryEntry(entry: MachineHistoryEntry, notes: { - notes: string | null - notes_updated_at: string | null -} = { notes: null, notes_updated_at: null }, description = '') { - return { - id: entry.id, - created_at: new Date(entry.time * 1000).toISOString(), - profile_name: typeof entry.profile?.name === 'string' ? entry.profile.name : entry.name ?? 'Unknown', - coffee_analysis: null, - user_preferences: null, - reply: description, - profile_json: entry.profile ?? null, - notes: notes.notes, - notes_updated_at: notes.notes_updated_at, - } -} - -function getHistoryEntryDate(entry: MachineHistoryEntry): string { - return new Date(entry.time * 1000).toISOString().split('T')[0] -} - -function getHistoryEntryFilename(entry: MachineHistoryEntry): string { - return entry.file ?? `${entry.id}.json` -} - -function getHistoryProfileName(entry: MachineHistoryEntry): string { - return typeof entry.profile?.name === 'string' ? entry.profile.name : entry.name ?? 'Unknown' -} - -function getHistoryProfileId(entry: MachineHistoryEntry): string { - return typeof entry.profile?.id === 'string' ? entry.profile.id : entry.id -} - -function getHistoryMetrics(entry: MachineHistoryEntry): { - final_weight: number | null - total_time: number | null -} { - const lastPoint = entry.data?.[entry.data.length - 1] - const totalTimeMs = lastPoint?.profile_time ?? lastPoint?.time - return { - final_weight: lastPoint?.shot?.weight ?? (typeof entry.profile?.final_weight === 'number' ? entry.profile.final_weight : null), - total_time: totalTimeMs ? totalTimeMs / 1000 : null, - } -} - -function normalizeLastShot(entry: MachineHistoryEntry) { - return { - profile_name: getHistoryProfileName(entry), - date: getHistoryEntryDate(entry), - filename: getHistoryEntryFilename(entry), - timestamp: entry.time, - ...getHistoryMetrics(entry), - } -} - -function hasRecentShotAnnotation(annotation?: { has_annotation: boolean; rating: number | null }): boolean { - return annotation !== undefined && (annotation.has_annotation || annotation.rating !== null) -} - -function safeNumber(value: unknown, fallback = 0): number { - const numberValue = Number(value) - return Number.isFinite(numberValue) ? numberValue : fallback -} - -function optionalNumber(value: unknown): number | null { - const numberValue = Number(value) - return Number.isFinite(numberValue) ? numberValue : null -} - -function roundScore(value: number): number { - return Math.round(value * 10) / 10 -} - -function parseSizeToMB(sizeStr: string): number { - const match = sizeStr.match(/([\d.]+)\s*(GB|MB|KB|TB)/i) - if (!match) return 0 - const value = parseFloat(match[1]) - const unit = match[2].toUpperCase() - if (unit === 'TB') return value * 1024 * 1024 - if (unit === 'GB') return value * 1024 - if (unit === 'KB') return value / 1024 - return value -} - -function parseUptimeToSeconds(uptimeStr: string): number { - let total = 0 - const re = /(\d+)\s*(days?|hours?|minutes?|seconds?)/gi - let m: RegExpExecArray | null - while ((m = re.exec(uptimeStr)) !== null) { - const val = parseInt(m[1], 10) - const unit = m[2].toLowerCase() - if (unit.startsWith('day')) total += val * 86400 - else if (unit.startsWith('hour')) total += val * 3600 - else if (unit.startsWith('minute')) total += val * 60 - else total += val - } - return total -} - -/** Coerce a per-service uptime (string like '0 hours 41 minutes' or numeric - * seconds) into integer seconds, or null when unavailable. */ -function coerceServiceUptime(value: unknown): number | null { - if (typeof value === 'string' && value.trim()) return parseUptimeToSeconds(value) - if (typeof value === 'number' && Number.isFinite(value)) return Math.round(value) - return null -} - -/** Transform raw watcher /status response into the shape MachineStatusCenter expects. */ -function transformWatcherResponse(raw: Record): Record { - // Services: object { name: { status } } → array [{ name, status, uptime }] - const rawServices = raw.services - let services: { name: string; status: string; uptime: number | null }[] = [] - if (rawServices && typeof rawServices === 'object' && !Array.isArray(rawServices)) { - services = Object.entries(rawServices as Record).map(([name, info]) => ({ - name, - status: info?.status ?? 'unknown', - uptime: coerceServiceUptime(info?.uptime), - })) - } else if (Array.isArray(rawServices)) { - services = rawServices as typeof services - } - - // System metrics - const mem = raw.memoryUsage as Record | undefined - const discs = raw.discs as Array<{ mountpoint: string; usage: Record }> | undefined - const uptimeStr = typeof raw.uptime === 'string' ? raw.uptime : '' - - const memTotal = mem ? parseSizeToMB(mem.total ?? '') : 0 - const memUsed = mem ? parseSizeToMB(mem.used ?? '') : 0 - - let diskTotal = 0 - let diskUsed = 0 - if (Array.isArray(discs)) { - const rootDisc = discs.find((d) => d.mountpoint === '/') - if (rootDisc?.usage) { - diskTotal = parseSizeToMB(rootDisc.usage.total ?? '') / 1024 // GB - diskUsed = parseSizeToMB(rootDisc.usage.used ?? '') / 1024 - } - } - - const uptimeSecs = uptimeStr ? parseUptimeToSeconds(uptimeStr) : null - let system: Record | null = null - if (memTotal || diskTotal || uptimeSecs) { - system = { - memory_total: memTotal ? Math.round(memTotal) : null, - memory_used: memUsed ? Math.round(memUsed) : null, - disk_total: diskTotal ? Math.round(diskTotal * 100) / 100 : null, - disk_used: diskUsed ? Math.round(diskUsed * 100) / 100 : null, - cpu_temperature: null, - uptime: uptimeSecs, - } - } - - return { services, system } -} - -const DIRECT_PROFILE_IMAGE_MAX_BYTES = 10 * 1024 * 1024 - -// Tracks the currently-running ephemeral override profile so the live view's -// target curves reflect the temporary variables actually being brewed rather -// than the saved profile. Cleared whenever a shot starts without overrides. -let _activeOverrideProfile: { name: string; profile: CachedProfile } | null = null - -class DirectImageValidationError extends Error { - constructor(message: string, public readonly status = 400) { - super(message) - this.name = 'DirectImageValidationError' - } -} - -function blobBytesToBase64(bytes: Uint8Array): string { - let binary = '' - for (const byte of bytes) binary += String.fromCharCode(byte) - return btoa(binary) -} - -function isSupportedImageBytes(bytes: Uint8Array, mimeType: string): boolean { - const normalizedType = mimeType.toLowerCase() - if (normalizedType === 'image/png') { - return bytes.length >= 8 - && bytes[0] === 0x89 - && bytes[1] === 0x50 - && bytes[2] === 0x4e - && bytes[3] === 0x47 - && bytes[4] === 0x0d - && bytes[5] === 0x0a - && bytes[6] === 0x1a - && bytes[7] === 0x0a - } - if (normalizedType === 'image/jpeg' || normalizedType === 'image/jpg') { - return bytes.length >= 3 && bytes[0] === 0xff && bytes[1] === 0xd8 && bytes[2] === 0xff - } - if (normalizedType === 'image/gif') { - const header = String.fromCharCode(...bytes.slice(0, 6)) - return header === 'GIF87a' || header === 'GIF89a' - } - if (normalizedType === 'image/webp') { - return bytes.length >= 12 - && String.fromCharCode(...bytes.slice(0, 4)) === 'RIFF' - && String.fromCharCode(...bytes.slice(8, 12)) === 'WEBP' - } - return false -} - -function validateImageBytes(bytes: Uint8Array, mimeType: string): void { - if (bytes.byteLength > DIRECT_PROFILE_IMAGE_MAX_BYTES) { - throw new DirectImageValidationError('Image too large. Maximum size is 10MB', 413) - } - if (!mimeType.startsWith('image/')) { - throw new DirectImageValidationError('File must be an image') - } - if (!isSupportedImageBytes(bytes, mimeType)) { - throw new DirectImageValidationError('Invalid image data') - } -} - -async function blobToDataUri(blob: Blob): Promise { - if (blob.size > DIRECT_PROFILE_IMAGE_MAX_BYTES) { - throw new DirectImageValidationError('Image too large. Maximum size is 10MB', 413) - } - const bytes = new Uint8Array(await blob.arrayBuffer()) - validateImageBytes(bytes, blob.type || 'application/octet-stream') - return `data:${blob.type || 'application/octet-stream'};base64,${blobBytesToBase64(bytes)}` -} - -function estimateBase64DecodedBytes(payload: string): number { - const normalizedPayload = payload.replace(/\s/g, '') - const padding = normalizedPayload.endsWith('==') ? 2 : normalizedPayload.endsWith('=') ? 1 : 0 - return Math.floor(normalizedPayload.length / 4) * 3 - padding -} - -function dataUriToBlob(dataUri: string): Blob { - const match = dataUri.match(/^data:([^;,]+)(;base64)?,(.*)$/) - if (!match) throw new DirectImageValidationError('Invalid image data - must be a data URI') - const mimeType = match[1] || 'application/octet-stream' - const payload = match[3] - if (!mimeType.startsWith('image/')) throw new DirectImageValidationError('Invalid image data - must be a data URI') - if (match[2] && estimateBase64DecodedBytes(payload) > DIRECT_PROFILE_IMAGE_MAX_BYTES) { - throw new DirectImageValidationError('Image too large. Maximum size is 10MB', 413) - } - let binary: string - try { - binary = match[2] ? atob(payload) : decodeURIComponent(payload) - } catch (err) { - throw new DirectImageValidationError(`Failed to decode image data: ${err instanceof Error ? err.message : String(err)}`) - } - const bytes = new Uint8Array(binary.length) - for (let i = 0; i < binary.length; i += 1) bytes[i] = binary.charCodeAt(i) - validateImageBytes(bytes, mimeType) - return new Blob([bytes], { type: mimeType }) -} - -async function readJsonRequestBody(input: RequestInfo | URL, init?: RequestInit): Promise { - const request = input instanceof Request ? input.clone() : new Request(input, init) - const body = await request.text() - return body.trim() ? JSON.parse(body) : {} -} - -function normalizeTerm(value: string): string { - return value.toLowerCase().replace(/[^a-z0-9]+/g, ' ').trim() -} - -function termMatches(query: string, candidate: string): boolean { - const queryTerm = normalizeTerm(query) - const candidateTerm = normalizeTerm(candidate) - if (!queryTerm || !candidateTerm) return false - return candidateTerm.includes(queryTerm) || queryTerm.includes(candidateTerm) -} - -function resolveProfileValue(value: unknown, variables: Array>): number { - if (typeof value === 'string' && value.startsWith('$')) { - const key = value.slice(1) - const variable = variables.find((item) => item.key === key || item.name === key) - return safeNumber(variable?.value) - } - return safeNumber(value) -} - -/** - * Mean of a pressure/flow stage's resolved dynamics setpoints — the intended - * scalar target (bar or ml/s) consumed by shotFacts.curveAdherence. Returns - * null for non-pressure/flow stages or when no numeric setpoints exist. - * Mirror of the server analysis_service._mean_dynamics_target — keep in sync. - */ -function meanDynamicsTarget( - stageType: string, - points: unknown, - variables: Array>, -): number | null { - if (stageType !== 'pressure' && stageType !== 'flow') return null - if (!Array.isArray(points)) return null - const values: number[] = [] - for (const point of points) { - if (!Array.isArray(point) || point.length === 0) continue - const raw = point.length > 1 ? point[1] : point[0] - let resolved: unknown = raw - if (typeof raw === 'string' && raw.startsWith('$')) { - const key = raw.slice(1) - const variable = variables.find((item) => item.key === key || item.name === key) - resolved = variable?.value - } - const num = typeof resolved === 'number' ? resolved : Number(resolved) - if (Number.isFinite(num)) values.push(num) - } - if (values.length === 0) return null - return Math.round((values.reduce((a, b) => a + b, 0) / values.length) * 100) / 100 -} - -/** - * Peak of a pressure/flow stage's resolved dynamics setpoints (#423). - * - * Feeds effectiveControlMode() so an aggressive flow stage paired with a - * pressure limit can be recognised as effectively pressure-controlled. - * Mirror of the server _max_dynamics_target — keep the two in sync. - */ -function maxDynamicsTarget( - stageType: string, - points: unknown, - variables: Array>, -): number | null { - if (stageType !== 'pressure' && stageType !== 'flow') return null - if (!Array.isArray(points)) return null - const values: number[] = [] - for (const point of points) { - if (!Array.isArray(point) || point.length === 0) continue - const raw = point.length > 1 ? point[1] : point[0] - let resolved: unknown = raw - if (typeof raw === 'string' && raw.startsWith('$')) { - const key = raw.slice(1) - const variable = variables.find((item) => item.key === key || item.name === key) - resolved = variable?.value - } - const num = typeof resolved === 'number' ? resolved : Number(resolved) - if (Number.isFinite(num)) values.push(num) - } - if (values.length === 0) return null - return Math.round(Math.max(...values) * 100) / 100 -} - -/** - * Build target-curve points for a time-based, multi-point stage. - * - * Dynamics point x-values are absolute seconds measured from the start of the - * stage; they describe the real-time target curve the machine follows. They - * must be plotted at their actual offset (stageStart + x), NOT rescaled to fill - * the stage duration. Rescaling distorts ramps: a short ramp inside a longer - * stage gets stretched, and a ramp followed by a long hold gets compressed - * until the ramp looks instantaneous (the reported #483 bug). - * - * Behaviour: - * - Each point is emitted at its absolute time within the stage. - * - If the final dynamics point ends before stageEnd, the last value is held - * flat until stageEnd (the machine holds the final target). - * - If a dynamics point lies beyond stageEnd (the stage exited early via - * another trigger), the curve is linearly clipped at the boundary. - */ -function buildTimeBasedCurvePoints( - points: unknown[], - variables: Array>, - stageName: string, - key: string, - stageStart: number, - stageEnd: number, -): Array> { - const stageDuration = stageEnd - stageStart - const result: Array> = [] - let prevT: number | null = null - let prevV: number | null = null - let lastT: number | null = null - let lastV: number | null = null - - for (const point of points) { - if (!Array.isArray(point)) continue - const dpT = safeNumber(point[0]) - const dpV = resolveProfileValue(point[1] ?? point[0], variables) - - if (dpT > stageDuration) { - // Stage exited before reaching this point — clip at the boundary. - let boundaryV = dpV - if (prevT !== null && prevV !== null && dpT > prevT) { - const frac = (stageDuration - prevT) / (dpT - prevT) - boundaryV = prevV + (dpV - prevV) * frac - } - result.push({ - time: Number(stageEnd.toFixed(2)), - stage_name: stageName, - [key]: Math.round(boundaryV * 10) / 10, - }) - return result - } - - result.push({ - time: Number((stageStart + dpT).toFixed(2)), - stage_name: stageName, - [key]: Math.round(dpV * 10) / 10, - }) - prevT = dpT - prevV = dpV - lastT = dpT - lastV = dpV - } - - // Hold the final target value until the stage ends, if the curve finished early. - if (lastT !== null && lastV !== null && lastT < stageDuration - 1e-6) { - result.push({ - time: Number(stageEnd.toFixed(2)), - stage_name: stageName, - [key]: Math.round(lastV * 10) / 10, - }) - } - - return result -} - -function generateEstimatedTargetCurves(profile: CachedProfile): Array> { - const stages = profile.stages ?? [] - const variables = profile.variables ?? [] - const defaultStageDuration = 10 - const weightStageMaxEstimate = 15 - const durations = stages.map((stage) => { - const triggers = Array.isArray(stage.exit_triggers) ? stage.exit_triggers : [] - let timeTrigger: number | null = null - let hasWeightTrigger = false - for (const trigger of triggers) { - if (!isRecord(trigger)) continue - if (trigger.type === 'time') timeTrigger = resolveProfileValue(trigger.value, variables) || defaultStageDuration - if (trigger.type === 'weight') hasWeightTrigger = true - } - if (timeTrigger === null) return defaultStageDuration - return hasWeightTrigger ? Math.min(timeTrigger, weightStageMaxEstimate) : timeTrigger - }) - - const curves: Array> = [] - let runningTime = 0 - stages.forEach((stage, index) => { - const stageName = typeof stage.name === 'string' ? stage.name : `Stage ${index + 1}` - const stageType = typeof stage.type === 'string' ? stage.type : 'flow' - const duration = durations[index] ?? defaultStageDuration - const dynamics = isRecord(stage.dynamics) ? stage.dynamics : {} - const points = Array.isArray(stage.dynamics_points) - ? stage.dynamics_points - : Array.isArray(dynamics.points) - ? dynamics.points - : [] - if (points.length === 0) { - runningTime += duration - return - } - const key = stageType === 'pressure' - ? 'target_pressure' - : stageType === 'power' - ? 'target_power' - : 'target_flow' - const stageStart = runningTime - const stageEnd = runningTime + duration - if (points.length === 1 && Array.isArray(points[0])) { - const value = resolveProfileValue(points[0][1] ?? points[0][0], variables) - curves.push( - { time: Number(stageStart.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, - { time: Number(stageEnd.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, - ) - } else { - curves.push( - ...buildTimeBasedCurvePoints(points, variables, stageName, key, stageStart, stageEnd), - ) - } - runningTime = stageEnd - }) - return curves.sort((a, b) => safeNumber(a.time) - safeNumber(b.time)) -} - -/** - * Generate target curves aligned to actual shot stage timings. - * Uses shot data to build weight-to-time mappings for weight-based dynamics. - */ -function generateShotAlignedTargetCurves( - profile: CachedProfile, - shotStages: Map, - shotDataEntries?: Array>, -): Array> { - const stages = profile.stages ?? [] - const variables = profile.variables ?? [] - const curves: Array> = [] - - // Build per-stage weight→time mapping from shot data for weight-based dynamics - const stageWeightToTime = new Map>() - if (shotDataEntries) { - for (const entry of shotDataEntries) { - const status = String((entry as Record).status ?? '').trim().toLowerCase() - if (!status || status === 'retracting') continue - const timeSec = safeNumber((entry as Record).time) / 1000 - const shot = (entry as Record>).shot ?? {} - const weight = safeNumber(shot.weight) - if (!stageWeightToTime.has(status)) stageWeightToTime.set(status, []) - stageWeightToTime.get(status)!.push([weight, timeSec]) - } - } - - for (const stage of stages) { - const stageName = typeof stage.name === 'string' ? stage.name : '' - const stageType = typeof stage.type === 'string' ? stage.type : 'flow' - const dynamics = isRecord(stage.dynamics) ? stage.dynamics : {} - const points = Array.isArray(stage.dynamics_points) - ? stage.dynamics_points - : Array.isArray(dynamics.points) - ? dynamics.points - : [] - if (points.length === 0) continue - - // Match stage to shot timing (case-insensitive) - let timing: { startTime: number; endTime: number } | undefined - const stageKey = (typeof stage.key === 'string' ? stage.key : '').toLowerCase().trim() - const stageNameLower = stageName.toLowerCase().trim() - for (const [shotStageName, t] of shotStages) { - const normalised = shotStageName.toLowerCase().trim() - if (normalised === stageNameLower || normalised === stageKey) { timing = t; break } - } - if (!timing) continue - const stageStart = timing.startTime - const stageDuration = timing.endTime - timing.startTime - if (stageDuration <= 0) continue - - const key = stageType === 'pressure' ? 'target_pressure' - : stageType === 'power' ? 'target_power' - : 'target_flow' - - const dynamicsOver = typeof stage.dynamics_over === 'string' - ? stage.dynamics_over - : typeof dynamics.over === 'string' ? dynamics.over : 'time' - - if (dynamicsOver === 'weight' && stageWeightToTime.has(stageNameLower)) { - // Weight-based dynamics: interpolate time from weight - const wtPairs = stageWeightToTime.get(stageNameLower)! - for (const point of points) { - if (!Array.isArray(point)) continue - const targetWeight = safeNumber(point[0]) - const value = resolveProfileValue(point[1] ?? point[0], variables) - // Find the time when this weight was reached - let interpTime = stageStart - for (let i = 0; i < wtPairs.length - 1; i++) { - const [w0, t0] = wtPairs[i] - const [w1, t1] = wtPairs[i + 1] - if (w0 <= targetWeight && targetWeight <= w1 && w1 > w0) { - interpTime = t0 + (targetWeight - w0) / (w1 - w0) * (t1 - t0) - break - } - } - curves.push({ - time: Number(interpTime.toFixed(2)), - stage_name: stageName, - [key]: Math.round(value * 10) / 10, - }) - } - } else { - // Time-based dynamics - if (points.length === 1 && Array.isArray(points[0])) { - const value = resolveProfileValue(points[0][1] ?? points[0][0], variables) - curves.push( - { time: Number(stageStart.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, - { time: Number(timing.endTime.toFixed(2)), stage_name: stageName, [key]: Math.round(value * 10) / 10 }, - ) - } else { - curves.push( - ...buildTimeBasedCurvePoints(points, variables, stageName, key, stageStart, timing.endTime), - ) - } - } - } - return curves.sort((a, b) => safeNumber(a.time) - safeNumber(b.time)) -} - -/* eslint-disable @typescript-eslint/no-explicit-any */ -type HistStage = { name: string; type: string; key?: string; dynamics?: any; dynamics_points?: any; dynamics_over?: any; exit_triggers?: any[]; limits?: any[] } -type HistVar = { key: string; name: string; type: string; value: number } -type HistEntry = { - id: string; time: number; name: string; file?: string; - profile?: { name?: string; final_weight?: number; temperature?: number; stages?: HistStage[]; variables?: HistVar[] }; - data?: { shot?: { pressure?: number; flow?: number; weight?: number; gravimetric_flow?: number }; time?: number; profile_time?: number; status?: string }[]; -} - -export function computeRichLocalAnalysis(entry: HistEntry, profileName: string) { - // ── Helper functions (matching server analysis_service.py) ── - - const _sf = (v: unknown, d = 0): number => { - if (v == null) return d - const n = Number(v) - return Number.isFinite(n) ? n : d - } - const _round1 = (v: number) => Math.round(v * 10) / 10 - - const _resolveVar = (val: unknown, vars: HistVar[]): number => { - if (typeof val === 'string' && val.startsWith('$')) { - const key = val.slice(1) - const v = vars.find(x => x.key === key) - return v ? _sf(v.value) : 0 - } - return _sf(val) - } - - const FLOW_IGNORE_WINDOW = 3.5 - const PREINFUSION_KW = ['bloom', 'soak', 'preinfusion', 'pre-infusion', 'pre infusion', 'wet', 'fill', 'landing'] - - // ── Extract per-stage telemetry ── - const pts = entry.data ?? [] - type StageStats = { - startTime: number; endTime: number; duration: number - startWeight: number; endWeight: number - startPressure: number; endPressure: number; avgPressure: number; maxPressure: number; minPressure: number - startFlow: number; endFlow: number; avgFlow: number; maxFlow: number - } - const shotStages = new Map() - { - let curStage: string | null = null - let stagePts: typeof pts = [] - const flush = () => { - if (!curStage || stagePts.length === 0) return - const times = stagePts.map(p => (p.time ?? 0) / 1000) - const prs = stagePts.map(p => p.shot?.pressure ?? 0) - const wts = stagePts.map(p => p.shot?.weight ?? 0) - const fls = stagePts.map(p => p.shot?.flow ?? 0) - const flsFiltered = stagePts.filter(p => (p.time ?? 0) / 1000 >= FLOW_IGNORE_WINDOW).map(p => p.shot?.flow ?? 0) - const flowSrc = flsFiltered.length > 0 ? flsFiltered : fls - shotStages.set(curStage, { - startTime: Math.min(...times), endTime: Math.max(...times), - duration: Math.max(...times) - Math.min(...times), - startWeight: wts[0], endWeight: wts[wts.length - 1], - startPressure: prs[0], endPressure: prs[prs.length - 1], - avgPressure: prs.reduce((a, b) => a + b, 0) / prs.length, - maxPressure: Math.max(...prs), minPressure: Math.min(...prs), - startFlow: fls[0], endFlow: fls[fls.length - 1], - avgFlow: flowSrc.reduce((a, b) => a + b, 0) / flowSrc.length, - maxFlow: Math.max(...flowSrc), - }) - } - for (const pt of pts) { - const st = (pt.status ?? '').trim() - if (!st || st.toLowerCase() === 'retracting') continue - if (st !== curStage) { flush(); curStage = st; stagePts = [] } - stagePts.push(pt) - } - flush() - } - - // ── Overall metrics ── - let maxPressure = 0, maxFlow = 0 - for (const pt of pts) { - if ((pt.shot?.pressure ?? 0) > maxPressure) maxPressure = pt.shot?.pressure ?? 0 - const t = (pt.time ?? 0) / 1000 - if (t >= FLOW_IGNORE_WINDOW && (pt.shot?.flow ?? 0) > maxFlow) maxFlow = pt.shot?.flow ?? 0 - } - const lastPt = pts[pts.length - 1] - const finalWeight = lastPt?.shot?.weight ?? entry.profile?.final_weight ?? 0 - const totalTime = lastPt ? (lastPt.profile_time ?? lastPt.time ?? 0) / 1000 : 0 - const targetWeight = entry.profile?.final_weight ?? null - - // ── Format helpers ── - const vars = entry.profile?.variables ?? [] - const unitMap: Record = { time: 's', weight: 'g', pressure: 'bar', flow: 'ml/s' } - const compMap: Record = { '>=': '≥', '<=': '≤', '>': '>', '<': '<', '==': '=' } - - // Profiles come in two shapes: a flat one (dynamics_points/dynamics_over) - // and the canonical nested one (dynamics.points/dynamics.over). Read - // both so curve-adherence deltas and #423 effective-mode detection work - // for every profile (e.g. "Slayer at Home", which is nested). Mirror of - // the server _stage_dynamics helper. - const stageDynamicsPoints = (stage: HistStage): any[] => { - if (Array.isArray(stage.dynamics_points)) return stage.dynamics_points - if (Array.isArray(stage.dynamics?.points)) return stage.dynamics.points - return [] - } - const stageDynamicsOver = (stage: HistStage): string => { - if (typeof stage.dynamics_over === 'string') return stage.dynamics_over - if (typeof stage.dynamics?.over === 'string') return stage.dynamics.over - return 'time' - } - - const fmtDynamics = (stage: HistStage): string => { - const dp = stageDynamicsPoints(stage) - if (!dp.length) return `${stage.type} stage` - const unit = stage.type === 'pressure' ? 'bar' : 'ml/s' - if (dp.length === 1) { - const v = _resolveVar(dp[0][1] ?? dp[0][0], vars) - return `Constant ${stage.type} at ${v} ${unit}` - } - if (dp.length === 2) { - const sy = _resolveVar(dp[0][1], vars), ey = _resolveVar(dp[1][1], vars), ex = _sf(dp[1][0]) - const ou = stageDynamicsOver(stage) === 'time' ? 's' : 'g' - if (sy === ey) return `Constant ${stage.type} at ${sy} ${unit} for ${ex}${ou}` - const dir = ey > sy ? 'ramp up' : 'ramp down' - return `${stage.type[0].toUpperCase() + stage.type.slice(1)} ${dir} from ${sy} to ${ey} ${unit} over ${ex}${ou}` - } - const vals = dp.map((p: number[]) => _resolveVar(p[1], vars)) - return `${stage.type[0].toUpperCase() + stage.type.slice(1)} curve: ${vals.join(' → ')} ${unit}` - } - - const fmtTriggers = (triggers: any[]) => triggers.map((t: any) => { - const v = _resolveVar(t.value, vars) - const c = compMap[t.comparison] ?? t.comparison - const u = unitMap[t.type] ?? '' - return { type: t.type, value: v, comparison: t.comparison, description: `${t.type} ${c} ${v}${u}` } - }) - - const fmtLimits = (limits: any[]) => limits.map((l: any) => { - const v = _resolveVar(l.value, vars) - const u = unitMap[l.type] ?? '' - return { type: l.type, value: v, description: `Limit ${l.type} to ${v}${u}` } - }) - - // ── Stage analysis ── - const profileStages = entry.profile?.stages ?? [] - const stageAnalyses: any[] = [] - const unreachedStages: string[] = [] - let preinfusionTime = 0 - const preinfusionStages: string[] = [] - - for (const ps of profileStages) { - const stageName = (ps.name ?? '').trim() - const stageType = ps.type ?? 'unknown' - // Match shot stage by name (trimmed, case-insensitive) - let shotData: StageStats | undefined - for (const [k, v] of shotStages) { - if (k.trim().toLowerCase() === stageName.toLowerCase()) { shotData = v; break } - } - - const profileTarget = fmtDynamics(ps) - const exitTriggers = fmtTriggers(ps.exit_triggers ?? []) - const limits = fmtLimits(ps.limits ?? []) - const executed = !!shotData - - const stageResult: any = { - stage_name: stageName, - stage_key: (ps.key ?? stageName).toLowerCase().replace(/\s+/g, '_'), - stage_type: stageType, - profile_target: profileTarget, - profile_target_value: meanDynamicsTarget( - stageType, - stageDynamicsPoints(ps), - vars as Array>, - ), - profile_max_target: maxDynamicsTarget( - stageType, - stageDynamicsPoints(ps), - vars as Array>, - ), - exit_triggers: exitTriggers, - limits, - executed, - execution_data: null, - exit_trigger_result: null, - limit_hit: null, - assessment: null, - } - - if (!executed) { - unreachedStages.push(stageName) - stageResult.assessment = { status: 'not_reached', message: 'This stage was never executed during the shot' } - stageAnalyses.push(stageResult) - continue - } - - const sd = shotData! - const wGain = sd.endWeight - sd.startWeight - // Execution description - const descParts: string[] = [] - const pDelta = sd.endPressure - sd.startPressure - if (Math.abs(pDelta) > 0.5) { - descParts.push(pDelta > 0 - ? `Pressure rose from ${_round1(sd.startPressure)} to ${_round1(sd.endPressure)} bar` - : `Pressure declined from ${_round1(sd.startPressure)} to ${_round1(sd.endPressure)} bar`) - } else if (sd.maxPressure > 0) { - descParts.push(`Pressure held around ${_round1((sd.startPressure + sd.endPressure) / 2)} bar`) - } - const fDelta = sd.endFlow - sd.startFlow - if (Math.abs(fDelta) > 0.3) { - descParts.push(fDelta > 0 - ? `Flow increased from ${_round1(sd.startFlow)} to ${_round1(sd.endFlow)} ml/s` - : `Flow decreased from ${_round1(sd.startFlow)} to ${_round1(sd.endFlow)} ml/s`) - } else if (sd.maxFlow > 0) { - descParts.push(`Flow steady at ${_round1((sd.startFlow + sd.endFlow) / 2)} ml/s`) - } - if (wGain > 1) descParts.push(`extracted ${_round1(wGain)}g`) - if (sd.duration > 0) descParts.push(`over ${_round1(sd.duration)}s`) - const execDesc = descParts.length > 0 ? descParts.join(', ').replace(/^./, c => c.toUpperCase()) : `Stage executed for ${_round1(sd.duration)}s` - - stageResult.execution_data = { - duration: _round1(sd.duration), weight_gain: _round1(wGain), - start_weight: _round1(sd.startWeight), end_weight: _round1(sd.endWeight), - start_pressure: _round1(sd.startPressure), end_pressure: _round1(sd.endPressure), - avg_pressure: _round1(sd.avgPressure), max_pressure: _round1(sd.maxPressure), min_pressure: _round1(sd.minPressure), - start_flow: _round1(sd.startFlow), end_flow: _round1(sd.endFlow), - avg_flow: _round1(sd.avgFlow), max_flow: _round1(sd.maxFlow), - description: execDesc, - } - - // Determine exit trigger hit - if (ps.exit_triggers?.length) { - let triggered: any = null - const notTriggered: any[] = [] - for (const tr of ps.exit_triggers) { - const tType = tr.type ?? '' - const tVal = _resolveVar(tr.value, vars) - const comp = tr.comparison ?? '>=' - let actual = 0 - if (tType === 'time') actual = sd.duration - else if (tType === 'weight') actual = sd.endWeight - else if (tType === 'pressure') actual = comp === '>=' || comp === '>' ? sd.maxPressure : sd.endPressure - else if (tType === 'flow') actual = comp === '>=' || comp === '>' ? sd.maxFlow : sd.endFlow - const tol = (tType === 'time' || tType === 'weight') ? 0.5 : 0.2 - let hit = false - if (comp === '>=') hit = actual >= tVal - tol - else if (comp === '>') hit = actual > tVal - else if (comp === '<=') hit = actual <= tVal + tol - else if (comp === '<') hit = actual < tVal - const u = unitMap[tType] ?? '' - const info = { type: tType, target: tVal, actual: _round1(actual), description: `${tType} >= ${tVal}${u}` } - if (hit && !triggered) triggered = info - else if (!hit) notTriggered.push(info) - } - stageResult.exit_trigger_result = { triggered, not_triggered: notTriggered } - } - - // Limit hit check - for (const lim of (ps.limits ?? [])) { - const lType = lim.type ?? '' - const lVal = _resolveVar(lim.value, vars) - let actual = 0 - if (lType === 'flow') actual = sd.maxFlow - else if (lType === 'pressure') actual = sd.maxPressure - else if (lType === 'time') actual = sd.duration - else if (lType === 'weight') actual = sd.endWeight - const u = unitMap[lType] ?? '' - if (actual >= lVal - 0.2) { - stageResult.limit_hit = { type: lType, limit_value: lVal, actual_value: _round1(actual), description: `Hit ${lType} limit of ${lVal}${u}` } - break - } - } - - // Assessment - const etr = stageResult.exit_trigger_result - if (etr?.triggered) { - stageResult.assessment = stageResult.limit_hit - ? { status: 'hit_limit', message: `Stage exited but hit a limit (${stageResult.limit_hit.description})` } - : { status: 'reached_goal', message: `Exited via: ${etr.triggered.description}` } - } else if (etr && etr.not_triggered?.length) { - stageResult.assessment = { status: 'failed', message: 'Stage ended before exit triggers were satisfied' } - } else { - stageResult.assessment = { status: 'executed', message: 'Stage executed (no exit triggers defined)' } - } - - stageAnalyses.push(stageResult) - - // Pre-infusion tracking - const nl = stageName.toLowerCase() - if (PREINFUSION_KW.some(kw => nl.includes(kw))) { - preinfusionTime += sd.duration - preinfusionStages.push(stageName) - } - } - - const preinfusionWeight = (() => { - let w = 0 - for (const ps2 of profileStages) { - const sn = (ps2.name ?? '').trim().toLowerCase() - if (!PREINFUSION_KW.some(kw => sn.includes(kw))) continue - for (const [k, v] of shotStages) { - if (k.trim().toLowerCase() === sn) { w += Math.max(0, v.endWeight - v.startWeight); break } - } - } - return w - })() - - const analysis = { - shot_summary: { - final_weight: _round1(finalWeight), - target_weight: targetWeight, - total_time: _round1(totalTime), - max_pressure: _round1(maxPressure), - max_flow: _round1(maxFlow), - }, - weight_analysis: { - status: targetWeight - ? Math.abs(finalWeight - targetWeight) / targetWeight < 0.05 ? 'on_target' - : finalWeight < targetWeight ? 'under' : 'over' - : 'on_target', - target: targetWeight, - actual: _round1(finalWeight), - deviation_percent: targetWeight - ? Math.round(((finalWeight - targetWeight) / targetWeight) * 1000) / 10 - : 0, - }, - stage_analyses: stageAnalyses, - unreached_stages: unreachedStages, - preinfusion_summary: { - stages: preinfusionStages, - total_time: _round1(preinfusionTime), - proportion_of_shot: totalTime > 0 ? _round1(preinfusionTime / totalTime * 100) : 0, - weight_accumulated: _round1(preinfusionWeight), - weight_percent_of_total: finalWeight > 0 ? _round1(preinfusionWeight / finalWeight * 100) : 0, - issues: [], - recommendations: [], - }, - profile_info: { - name: profileName, - temperature: entry.profile?.temperature ?? null, - stage_count: profileStages.length, - }, - profile_target_curves: (() => { - // Generate shot-aligned target curves from profile dynamics - if (!entry.profile) return [] - const stageTimings = new Map() - for (const [name, stats] of shotStages) { - stageTimings.set(name, { startTime: stats.startTime, endTime: stats.endTime }) - } - return generateShotAlignedTargetCurves( - entry.profile as unknown as CachedProfile, - stageTimings, - pts as unknown as Array>, - ) - })(), - } - ;(analysis as Record).shot_facts = buildShotFacts(analysis as Parameters[0]) - - return analysis -} -/* eslint-enable @typescript-eslint/no-explicit-any */ - -type ProfileFingerprint = { - controlMode: 'pressure' | 'flow' | 'mixed' | 'unknown' - techniqueTags: Set - stageCount: number - isFlat: boolean - peakPressure: number - temperature: number | null - finalWeight: number | null -} - -type ProfileRecommendation = { - profile_name: string - score: number - explanation: string - match_reasons: string[] -} - -function getProfileStages(profile: CachedProfile): Array> { - return Array.isArray(profile.stages) ? profile.stages : [] -} - -function getProfileTextTerms(profile: CachedProfile): string[] { - const terms = [ - profile.name, - profile.display?.description, - profile.display?.shortDescription, - ...getProfileStages(profile).map((stage) => String(stage.name ?? '')), - ] - return terms - .flatMap((term) => normalizeTerm(String(term ?? '')).split(/\s+/)) - .filter(Boolean) -} - -function extractProfileFingerprint(profile: CachedProfile): ProfileFingerprint { - const stages = getProfileStages(profile) - const stageTypes: string[] = [] - const techniqueTags = new Set() - let peakPressure = 0 - let isFlat = stages.length <= 2 - - for (const stage of stages) { - const stageType = typeof stage.type === 'string' ? stage.type.toLowerCase() : '' - const stageName = typeof stage.name === 'string' ? stage.name.toLowerCase() : '' - if (stageType) stageTypes.push(stageType) - for (const keyword of ['preinfusion', 'pre-infusion', 'bloom', 'soak', 'pulse', 'lever', 'turbo', 'ramp', 'decline', 'taper']) { - if (stageName.includes(keyword)) techniqueTags.add(keyword === 'soak' ? 'bloom' : keyword.replace('pre-infusion', 'preinfusion')) - } - - const dynamics = isRecord(stage.dynamics) ? stage.dynamics : {} - const points = Array.isArray(stage.dynamics_points) - ? stage.dynamics_points - : Array.isArray(dynamics.points) - ? dynamics.points - : [] - const values = points - .filter(Array.isArray) - .map((point) => resolveProfileValue(point[1] ?? point[0], profile.variables ?? [])) - .filter(Number.isFinite) - if (stageType === 'pressure') peakPressure = Math.max(peakPressure, ...values, 0) - if (values.length > 1 && new Set(values.map((value) => roundScore(value))).size > 1) isFlat = false - } - - const pressureStages = stageTypes.filter((type) => type === 'pressure').length - const flowStages = stageTypes.filter((type) => type === 'flow').length - const controlMode = pressureStages > 0 && flowStages > 0 - ? 'mixed' - : pressureStages > 0 - ? 'pressure' - : flowStages > 0 - ? 'flow' - : 'unknown' - if (controlMode !== 'unknown') techniqueTags.add(`${controlMode}-profile`) - if (isFlat) techniqueTags.add('flat') - - return { - controlMode, - techniqueTags, - stageCount: stages.length, - isFlat, - peakPressure: roundScore(peakPressure), - temperature: optionalNumber(profile.temperature), - finalWeight: optionalNumber(profile.final_weight), - } -} - -function buildTagFingerprint(tags: string[]): ProfileFingerprint { - const normalizedTags = tags.map(normalizeTerm) - const techniqueTags = new Set() - const tagMap: Record = { - preinfusion: 'preinfusion', - bloom: 'bloom', - soak: 'bloom', - pulse: 'pulse', - lever: 'lever', - turbo: 'turbo', - ramp: 'ramp', - decline: 'decline', - taper: 'taper', - flat: 'flat', - pressure: 'pressure-profile', - flow: 'flow-profile', - } - for (const tag of normalizedTags) { - for (const [needle, technique] of Object.entries(tagMap)) { - if (tag.includes(needle)) techniqueTags.add(technique) - } - } - const controlMode = techniqueTags.has('pressure-profile') - ? 'pressure' - : techniqueTags.has('flow-profile') - ? 'flow' - : 'unknown' - return { - controlMode, - techniqueTags, - stageCount: techniqueTags.has('pulse') ? 5 : techniqueTags.has('bloom') || techniqueTags.has('preinfusion') ? 3 : 2, - isFlat: techniqueTags.has('flat'), - peakPressure: 0, - temperature: null, - finalWeight: null, - } -} - -function scoreProfile(tags: string[], target: ProfileFingerprint, candidate: CachedProfile): ProfileRecommendation { - const candidateFingerprint = extractProfileFingerprint(candidate) - const candidateTerms = getProfileTextTerms(candidate) - const reasons: string[] = [] - let score = 0 - - for (const tag of tags) { - if (candidateTerms.some((term) => termMatches(tag, term))) { - score += 20 - reasons.push(`Matching: ${tag}`) - } - } - - if (target.controlMode !== 'unknown' && candidateFingerprint.controlMode === target.controlMode) { - score += 15 - reasons.push(`${candidateFingerprint.controlMode}-controlled`) - } else if (target.controlMode !== 'unknown' && candidateFingerprint.controlMode === 'mixed') { - score += 6 - } - - const techniqueOverlap = [...target.techniqueTags].filter((tag) => candidateFingerprint.techniqueTags.has(tag)) - if (techniqueOverlap.length > 0) { - score += Math.min(25, techniqueOverlap.length * 10) - reasons.push(`Techniques: ${techniqueOverlap.join(', ')}`) - } - - if (target.stageCount && candidateFingerprint.stageCount) { - const diff = Math.abs(target.stageCount - candidateFingerprint.stageCount) - if (diff === 0) score += 8 - else if (diff === 1) score += 4 - } - - if (target.temperature !== null && candidateFingerprint.temperature !== null) { - score += Math.max(0, 10 - Math.abs(target.temperature - candidateFingerprint.temperature) * 2) - } - if (target.finalWeight !== null && candidateFingerprint.finalWeight !== null) { - score += Math.max(0, 10 - Math.abs(target.finalWeight - candidateFingerprint.finalWeight)) - } - - return { - profile_name: candidate.name, - score: Math.min(roundScore(score), 100), - explanation: reasons.join('; '), - match_reasons: [...new Set(reasons)], - } -} - -function recommendProfilesFromTags(profiles: CachedProfile[], tags: string[], limit: number): ProfileRecommendation[] { - const target = buildTagFingerprint(tags) - return profiles - .map((profile) => scoreProfile(tags, target, profile)) - .filter((recommendation) => recommendation.score > 0) - .sort((a, b) => b.score - a.score) - .slice(0, limit) -} - -function findSimilarProfiles(profiles: CachedProfile[], profileName: string, limit: number): ProfileRecommendation[] { - const source = profiles.find((profile) => profile.name === profileName) - if (!source) return [] - const target = extractProfileFingerprint(source) - const tags = getProfileTextTerms(source) - return profiles - .filter((profile) => profile.name !== profileName) - .map((profile) => scoreProfile(tags, target, profile)) - .filter((recommendation) => recommendation.score > 0) - .sort((a, b) => b.score - a.score) - .slice(0, limit) -} - -function parseRecommendationsJson(analysisText: string): Array> { - const match = analysisText.match(/RECOMMENDATIONS_JSON:\s*\n\s*(\[[\s\S]*?\])\s*\n\s*END_RECOMMENDATIONS_JSON/) - if (!match) return [] - try { - const parsed = JSON.parse(match[1]) - return Array.isArray(parsed) ? parsed.filter(isRecord).filter(isActionableRecommendation) : [] - } catch { - return [] - } -} - -/** - * Drop hallucinated / non-actionable recommendations. Weak on-device models - * sometimes emit garbage variable ids (e.g. "flow_0") with NaN values that - * render as "adjust from NaN to NaN". A recommendation is only usable if it - * names a variable and its numeric values (when present) are finite. Missing - * values are treated as 0 (kept, for advisory recommendations). - */ -function isActionableRecommendation(rec: Record): boolean { - if (String(rec.variable ?? '').trim() === '') return false - for (const key of ['current_value', 'recommended_value'] as const) { - const raw = rec[key] - if (raw === undefined || raw === null) continue - if (!Number.isFinite(Number(raw))) return false - } - return true -} - -function isRecommendationPatchable(recommendation: Record, variables: Array>): boolean { - const variable = String(recommendation.variable ?? '') - const stage = String(recommendation.stage ?? '') - if (stage === 'global' && (variable === 'temperature' || variable === 'final_weight')) return true - if (['exit_weight', 'exit_time', 'exit_pressure', 'exit_flow', 'exit_volume', 'limit_pressure', 'limit_flow', 'limit_weight'].includes(variable) && stage && stage !== 'global') return true - const profileVariable = variables.find((item) => item.key === variable) ?? variables.find((item) => ( - termMatches(variable, String(item.key ?? '')) || termMatches(variable, String(item.name ?? '')) - )) - if (!profileVariable) return true - if (String(profileVariable.key ?? '').startsWith('info_')) return false - if (profileVariable.adjustable === false) return false - return true -} - -function getCachedAnalysisText(profileName: string, shotFilename: string): string | null { - try { - const parsed = JSON.parse(localStorage.getItem(STORAGE_KEYS.ANALYSIS_CACHE) ?? '{}') as Record - const cacheValue = parsed[`${profileName}::${shotFilename}`] - if (typeof cacheValue === 'string') return cacheValue - if (isRecord(cacheValue) && typeof cacheValue.analysis === 'string') return cacheValue.analysis - } catch { - return null - } - return null -} - -function cloneProfileForSave(profile: CachedProfile): CachedProfile { - return JSON.parse(JSON.stringify(stripDirectProfileMetadata(profile))) as CachedProfile -} - -function imageErrorStatus(err: unknown, defaultStatus = 500): number { - if (err instanceof DirectImageValidationError) return err.status - if (err instanceof DirectStorageValidationError) return err.message.includes('not found') ? 404 : 400 - return defaultStatus -} - -function updateStageValue( - stages: Array> | undefined, - stageName: string, - collectionKey: 'exit_triggers' | 'limits', - typeMap: Record, - variable: string, - value: number, -): { applied: boolean; reason?: string } { - const targetType = typeMap[variable] - if (!targetType || !stages) return { applied: false } - const stage = stages.find((item) => String(item.name ?? '').toLowerCase() === stageName.toLowerCase()) - if (!stage) return { applied: false } - const collection = Array.isArray(stage[collectionKey]) ? stage[collectionKey] as Array> : [] - const target = collection.find((item) => item.type === targetType) - if (!target) return { applied: false, reason: `no ${targetType} ${collectionKey === 'limits' ? 'limit' : 'exit trigger'} in stage '${stageName}'` } - target.value = value - return { applied: true } -} - -const KNOWN_VARIABLE_TYPES = ['pressure', 'flow', 'temperature', 'weight', 'time', 'volume'] as const - -/** - * Determine which value type a recommendation's variable refers to. Handles - * real keys ("pressure_Max Pressure"), invented positional ids ("pressure_2", - * "flow_0") and bare types ("pressure"). - */ -function variableTypeOf(raw: string): string | null { - const lower = raw.trim().toLowerCase() - for (const type of KNOWN_VARIABLE_TYPES) { - if (lower === type || lower.startsWith(`${type}_`)) return type - } - return null -} - -/** - * Recover the real profile variable a recommendation targets when a model - * invents a positional identifier (e.g. "pressure_2" instead of the actual - * key "pressure_Max Pressure"). This class of mistake happens across every - * model. Matches by value type, disambiguating on the reported current_value - * and finally the stage name. Returns null when the match is ambiguous so the - * caller can surface a clear "could not resolve" skip instead of guessing. - */ -function resolveFuzzyVariable( - variables: Array> | undefined, - rawVariable: string, - currentValue: unknown, - stage: string, -): Record | null { - if (!Array.isArray(variables) || variables.length === 0) return null - const type = variableTypeOf(rawVariable) - if (!type) return null - - const adjustable = variables.filter((item) => { - const key = String(item.key ?? '') - if (key.startsWith('info_') || item.adjustable === false) return false - const itemType = String(item.type ?? '').toLowerCase() || variableTypeOf(key) - return itemType === type - }) - if (adjustable.length === 0) return null - if (adjustable.length === 1) return adjustable[0] - - const cur = optionalNumber(currentValue) - if (cur !== null) { - const byValue = adjustable.filter((item) => optionalNumber(item.value) === cur) - if (byValue.length === 1) return byValue[0] - } - - const stageLower = stage.trim().toLowerCase() - if (stageLower && stageLower !== 'global') { - const byStage = adjustable.filter((item) => - String(item.name ?? '').toLowerCase().includes(stageLower) || - String(item.key ?? '').toLowerCase().includes(stageLower), - ) - if (byStage.length === 1) return byStage[0] - } - return null -} - - - -// ── Exported installer ────────────────────────────────────────────────────── - -export function installDirectModeInterceptor(): void { - const _originalFetch = window.fetch - - // In native mode (Capacitor), relative /api/... URLs must be prefixed with - // the machine base URL since same-origin is the WebView, not the machine. - const _isNative = isNativePlatform() - - function _fetch(input: RequestInfo | URL, init?: RequestInit): Promise { - if (_isNative) { - const machineBase = getDefaultMachineUrl() - if (typeof input === 'string' && input.startsWith('/api/')) { - return _originalFetch(`${machineBase}${input}`, init) - } - if (input instanceof URL && input.pathname.startsWith('/api/')) { - return _originalFetch(new URL(input.pathname + input.search, machineBase), init) - } - if (input instanceof Request) { - const reqUrl = new URL(input.url) - if (reqUrl.pathname.startsWith('/api/')) { - const prefixed = new URL(reqUrl.pathname + reqUrl.search, machineBase).toString() - return _originalFetch(new Request(prefixed, input), init) - } - } - } - return _originalFetch(input, init) - } - - // Cache profile list data so /api/profile/{name} and image-proxy lookups work - const _profileCache = new Map() - const PROFILE_LIST_CACHE_KEY = STORAGE_KEYS.PROFILE_LIST_CACHE - - function _processProfileList(data: unknown[]) { - const profiles = data - .map(normalizeProfileIdent) - .filter((profile): profile is CachedProfile => profile !== null) - _profileCache.clear() - for (const p of profiles) _profileCache.set(p.name, p) - const result = { - profiles: profiles.map(p => ({ - ...p, - in_history: true, - has_description: !!(p.display?.description || p.display?.shortDescription), - derived_tags: deriveStructuralTags(p as AnalyzableProfile), - ai_tags: _aiTagsCache.get(p.name) ?? [], - })) - } - try { localStorage.setItem(PROFILE_LIST_CACHE_KEY, JSON.stringify(result)) } catch { /* ignore */ } - return result - } - - // Drop the cached profile list so the next /api/machine/profiles fetch hits - // the machine. Call after creating/saving a NEW profile so it shows up - // immediately in the catalogue instead of waiting for the TTL to expire. - function _invalidateProfileListCache() { - _profileCache.clear() - try { localStorage.removeItem(PROFILE_LIST_CACHE_KEY) } catch { /* ignore */ } - try { localStorage.removeItem(PROFILE_LIST_CACHE_KEY + ':ts') } catch { /* ignore */ } - } - - // Restore profile cache from localStorage on startup - try { - const stored = localStorage.getItem(PROFILE_LIST_CACHE_KEY) - if (stored) { - const parsed = JSON.parse(stored) - if (parsed?.profiles) { - for (const p of parsed.profiles) _profileCache.set(p.name, p) - } - } - } catch { /* ignore */ } - - // ── Static profile description cache ────────────────────────────────────── - // Stores the full "Profile Created / Description / Preparation / …" text - // keyed by profile ID. Persisted to localStorage and exposed on window so - // App.tsx can read descriptions when navigating to profile detail. - const DESC_CACHE_KEY = STORAGE_KEYS.DESCRIPTION_CACHE - const _descriptionCache = new Map() - try { - const stored = localStorage.getItem(DESC_CACHE_KEY) - if (stored) { - const parsed: Record = JSON.parse(stored) - for (const [k, v] of Object.entries(parsed)) _descriptionCache.set(k, v) - } - } catch { /* ignore */ } - - function _persistDescriptionCache() { - try { - const obj: Record = {} - _descriptionCache.forEach((v, k) => { obj[k] = v }) - localStorage.setItem(DESC_CACHE_KEY, JSON.stringify(obj)) - } catch { /* ignore */ } - } - - // ── AI sensory-tag overlay cache (#400) ─────────────────────────────────── - // Stores AI-inferred sensory tags keyed by profile, persisted alongside the - // description overlay and surfaced in the catalogue next to derived_tags. - const AI_TAGS_CACHE_KEY = STORAGE_KEYS.AI_TAGS_CACHE - const _aiTagsCache = new Map() - try { - const stored = localStorage.getItem(AI_TAGS_CACHE_KEY) - if (stored) { - const parsed: Record = JSON.parse(stored) - for (const [k, v] of Object.entries(parsed)) { - if (Array.isArray(v)) _aiTagsCache.set(k, v) - } - } - } catch { /* ignore */ } - - function _persistAiTagsCache() { - try { - const obj: Record = {} - _aiTagsCache.forEach((v, k) => { obj[k] = v }) - localStorage.setItem(AI_TAGS_CACHE_KEY, JSON.stringify(obj)) - } catch { /* ignore */ } - } - - // Expose on window for App.tsx to read - ;(window as unknown as Record).__meticaiDescriptionCache = _descriptionCache - - // Background: generate static descriptions for every profile on the machine. - // Fetches each profile's JSON sequentially (1 at a time) to avoid overloading - // the machine, then runs the client-side static analysis. - async function _generateDescriptionsInBackground(profiles: CachedProfile[]) { - const { buildStaticProfileDescription } = await import('@/lib/staticProfileDescription') - for (const p of profiles) { - if (_descriptionCache.has(p.id)) continue // already described - try { - const r = await _fetch(`/api/v1/profile/get/${p.id}`) - if (!r.ok) continue - const profileJson = await r.json() - const desc = buildStaticProfileDescription(profileJson) - _descriptionCache.set(p.id, desc) - } catch { /* non-critical */ } - } - _persistDescriptionCache() - } - - // Background prefetch: refresh profile list on startup so catalogue loads instantly - // Only run after onboarding is complete — before that, no machine URL is configured - if (localStorage.getItem(STORAGE_KEYS.ONBOARDING_COMPLETE)) { - setTimeout(() => { - _fetch('/api/v1/profile/list') - .then(r => r.ok ? r.json() : null) - .then((data: CachedProfile[] | null) => { - if (data) { - _processProfileList(data) - try { localStorage.setItem(PROFILE_LIST_CACHE_KEY + ':ts', String(Date.now())) } catch { /* ignore */ } - _generateDescriptionsInBackground(data) - } - }) - .catch(() => { /* non-critical */ }) - }, 2000) - } - - async function _loadProfilesFromMachine(): Promise { - const response = await _fetch('/api/v1/profile/list') - if (!response.ok) { - const cached = localStorage.getItem(PROFILE_LIST_CACHE_KEY) - if (cached) { - try { - const parsed = JSON.parse(cached) - if (parsed?.profiles) { - _profileCache.clear() - for (const p of parsed.profiles) _profileCache.set(p.name, p) - return parsed.profiles - } - } catch { /* corrupted cache */ } - } - return [] - } - const raw = await response.json() - const result = _processProfileList(Array.isArray(raw) ? raw : []) - return result.profiles - } - - async function _findProfileByName(profileName: string): Promise { - const cached = _profileCache.get(profileName) - if (cached) return cached - const profiles = await _loadProfilesFromMachine() - return profiles.find((profile) => profile.name === profileName) ?? null - } - - async function _loadHistory(): Promise { - // The machine's GET /history short-listing is capped to a small set of the - // most-recent shots, which made direct mode show only ~20 shots regardless - // of how deep the profile's history went. Use the search endpoint with a - // generous max_results (metadata-only, dump_data:false) to retrieve the - // full history, falling back to the short-listing if the search fails. - try { - const searchResponse = await _fetch('/api/v1/history', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ - query: '', - ids: [], - start_date: '', - end_date: '', - order_by: ['date'], - sort: 'desc', - max_results: 1000, - dump_data: false, - }), - }) - if (searchResponse.ok) { - const raw = await searchResponse.json() - const entries = Array.isArray(raw) - ? raw as MachineHistoryEntry[] - : (isRecord(raw) && Array.isArray(raw.history) ? raw.history as MachineHistoryEntry[] : null) - if (entries) return entries - } - } catch { /* fall through to the short-listing */ } - - const response = await _fetch('/api/v1/history') - if (!response.ok) return [] - const raw = await response.json() - return Array.isArray(raw) - ? raw as MachineHistoryEntry[] - : (isRecord(raw) && Array.isArray(raw.history) ? raw.history as MachineHistoryEntry[] : []) - } - - async function _loadVisibleHistory(): Promise { - const [history, deletedIds] = await Promise.all([_loadHistory(), getDirectDeletedHistoryIds()]) - return history.filter((entry) => !deletedIds.has(entry.id)) - } - - async function _findVisibleShot(date: string, filename: string): Promise { - const history = await _loadVisibleHistory() - return history.find((entry) => ( - getHistoryEntryDate(entry) === date && getHistoryEntryFilename(entry) === filename - )) ?? null - } - - async function _saveProfileImageData(profileName: string, imageDataUri: string): Promise<{ - profile: CachedProfile - imageBlob: Blob - }> { - if (!imageDataUri.startsWith('data:image/')) { - throw new DirectStorageValidationError('Invalid image data - must be a data URI') - } - const profile = await _findProfileByName(profileName) - if (!profile) throw new DirectStorageValidationError(`Profile '${profileName}' not found on machine`) - - // Fetch full profile (with stages) — the list cache may not include them - let fullProfile = profile - try { - const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) - if (fullResp.ok) { - const parsed = await fullResp.json() as CachedProfile - if (typeof parsed?.id === 'string') fullProfile = parsed - } - } catch { /* use cached profile */ } - - const imageBlob = dataUriToBlob(imageDataUri) - - // Save full-res image to IndexedDB (primary source for image-proxy) - await saveDirectProfileImage(profile.id, imageBlob) - - // Save a compressed thumbnail to the machine profile so the image - // persists across app reinstalls. AI-generated images can be several MB; - // the machine rejects oversized payloads, so we downscale to ≤300px. - const updated = cloneProfileForSave(fullProfile) - try { - const thumbnailUri = await _compressImageForMachine(imageDataUri, 300) - updated.display = { - ...(isRecord(updated.display) ? updated.display : {}), - image: thumbnailUri, - } - } catch { - // If compression fails, keep the original display.image value - updated.display = isRecord(fullProfile.display) ? { ...fullProfile.display } : {} - } - try { - const saveResponse = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(updated), - }) - if (!saveResponse.ok) console.warn('[direct-mode] Machine profile save returned', saveResponse.status) - } catch (e) { - console.warn('[direct-mode] Failed to save profile image to machine:', e) - } - - const cached: CachedProfile = { ...profile, display: { ...(isRecord(profile.display) ? profile.display : {}), image: imageDataUri } } - _profileCache.set(cached.name, cached) - return { profile: cached, imageBlob } - } - - /** Compress an image data URI to a JPEG thumbnail ≤ maxSize px. */ - async function _compressImageForMachine(dataUri: string, maxSize: number): Promise { - const img = new Image() - await new Promise((resolve, reject) => { - const timeout = setTimeout(() => reject(new Error('Image load timeout')), 3000) - img.onload = () => { clearTimeout(timeout); resolve() } - img.onerror = () => { clearTimeout(timeout); reject(new Error('Image load error')) } - img.src = dataUri - }) - const scale = Math.min(1, maxSize / Math.max(img.width, img.height)) - const w = Math.round(img.width * scale) - const h = Math.round(img.height * scale) - const canvas = document.createElement('canvas') - canvas.width = w - canvas.height = h - const ctx = canvas.getContext('2d')! - ctx.drawImage(img, 0, 0, w, h) - return canvas.toDataURL('image/jpeg', 0.7) - } - - // ── Pour-over profile adapters (ported from backend pour_over_adapter.py / recipe_adapter.py) ── - - const _POUR_OVER_BASE = { - name: 'MeticAI Ratio Pour-Over', - id: '', // will be replaced - author: 'MeticAI', - author_id: '', - display: { accentColor: '#566656' }, - temperature: 0, - final_weight: 300, - variables: [{ name: 'Zero', key: 'power_Zero', type: 'power', value: 0 }], - stages: [ - { - name: 'Bloom (30s)', key: 'power_1', type: 'power', - dynamics: { points: [[0, '$power_Zero'], [10, '$power_Zero']], over: 'time', interpolation: 'curve' }, - exit_triggers: [{ type: 'time', value: 30, relative: false, comparison: '>=' }], - limits: [], - }, - { - name: 'Infusion (300g)', key: 'power_2', type: 'power', - dynamics: { points: [[0, '$power_Zero'], [10, '$power_Zero']], over: 'time', interpolation: 'curve' }, - exit_triggers: [{ type: 'weight', value: 300, relative: false, comparison: '>=' }], - limits: [], - }, - ], - } - - const _STAGE_TEMPLATE = { - type: 'power', - dynamics: { points: [[0, '$power_Zero'], [10, '$power_Zero']], over: 'time', interpolation: 'curve' }, - limits: [], - } - - function _uuid() { - return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => { - const r = Math.random() * 16 | 0 - return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16) - }) - } - - function _adaptPourOverProfile(opts: { targetWeight: number; bloomEnabled: boolean; bloomSeconds: number; doseGrams: number | null; brewRatio: number | null }) { - const profile = JSON.parse(JSON.stringify(_POUR_OVER_BASE)) - profile.id = _uuid() - profile.author_id = _uuid() - profile.final_weight = opts.targetWeight - const weightLabel = `${Math.round(opts.targetWeight)}g` - - // Short description - const parts = [`Target: ${weightLabel}`] - if (opts.doseGrams) parts.push(`Dose: ${opts.doseGrams.toFixed(1)}g`) - if (opts.brewRatio) parts.push(`Ratio: 1:${opts.brewRatio.toFixed(1)}`) - profile.display = { ...profile.display, shortDescription: parts.join(' | ').slice(0, 99) } - - const stages = profile.stages - if (opts.bloomEnabled && stages.length >= 2) { - stages[0].name = `Bloom (${Math.round(opts.bloomSeconds)}s)` - for (const t of stages[0].exit_triggers) if (t.type === 'time') t.value = opts.bloomSeconds - stages[1].name = `Infusion (${weightLabel})` - for (const t of stages[1].exit_triggers) if (t.type === 'weight') t.value = opts.targetWeight - // Add 10-min time backup if missing - if (!stages[1].exit_triggers.some((t: { type: string }) => t.type === 'time')) { - stages[1].exit_triggers.push({ type: 'time', value: 600, relative: true, comparison: '>=' }) - } - } else if (!opts.bloomEnabled && stages.length >= 2) { - const infusion = stages[1] - infusion.name = `Infusion (${weightLabel})` - infusion.key = 'power_1' - for (const t of infusion.exit_triggers) if (t.type === 'weight') t.value = opts.targetWeight - if (!infusion.exit_triggers.some((t: { type: string }) => t.type === 'time')) { - infusion.exit_triggers.push({ type: 'time', value: 600, relative: true, comparison: '>=' }) - } - profile.stages = [infusion] - } - return profile - } - - interface OPOSStep { step?: number; action: string; water_g?: number; duration_s?: number; notes?: string } - - function _adaptRecipeToProfile(recipe: { metadata?: { name?: string }; ingredients?: { water_g?: number; coffee_g?: number }; protocol?: OPOSStep[] }) { - const profile = JSON.parse(JSON.stringify(_POUR_OVER_BASE)) - profile.id = _uuid() - profile.author_id = _uuid() - const recipeName = recipe.metadata?.name ?? 'Recipe' - profile.name = `MeticAI Recipe: ${recipeName}` - const totalWater = Number(recipe.ingredients?.water_g ?? 0) - const coffeeG = Number(recipe.ingredients?.coffee_g ?? 0) || null - profile.final_weight = totalWater - - const parts = [`Target: ${Math.round(totalWater)}g`] - if (coffeeG) { - parts.push(`Dose: ${Math.round(coffeeG)}g`) - parts.push(`Ratio: 1:${(totalWater / coffeeG).toFixed(1)}`) - } - profile.display = { ...profile.display, shortDescription: parts.join(' | ').slice(0, 99) } - - const stages: typeof _POUR_OVER_BASE.stages = [] - let cumulativeWater = 0 - let pourCount = 0 - - for (const step of (recipe.protocol ?? [])) { - const action = step.action ?? '' - const waterG = Number(step.water_g ?? 0) - const durationS = Number(step.duration_s ?? 30) - const stage = JSON.parse(JSON.stringify(_STAGE_TEMPLATE)) - stage.key = `power_${stages.length + 1}` - - if (action === 'bloom' || action === 'pour') { - cumulativeWater += waterG - if (action === 'bloom') { - stage.name = `Bloom (${Math.round(waterG)}g / ${Math.round(durationS)}s)` - stage.exit_triggers = [{ type: 'time', value: durationS, relative: true, comparison: '>=' }] - } else { - pourCount++ - stage.name = `Pour ${pourCount} (to ${Math.round(cumulativeWater)}g)` - stage.exit_triggers = [ - { type: 'weight', value: cumulativeWater, relative: false, comparison: '>=' }, - { type: 'time', value: 600, relative: true, comparison: '>=' }, - ] - } - } else if (action === 'wait' || action === 'swirl' || action === 'stir') { - stage.name = action === 'swirl' ? 'Swirl' : action === 'stir' ? 'Stir' : `Wait (${Math.round(durationS)}s)` - stage.exit_triggers = [{ type: 'time', value: durationS, relative: true, comparison: '>=' }] - } else { - continue - } - - stages.push(stage) - } - - profile.stages = stages - return profile - } - - window.fetch = function directModeFetch(input: RequestInfo | URL, init?: RequestInit): Promise { - const { url, method, pathname } = getDirectRequestContext(input, init) - const isDialInAliasPath = pathname === '/dialin/sessions' || pathname.startsWith('/dialin/sessions/') - const dialInPathname = isDialInAliasPath ? `/api${pathname}` : pathname - - // Allow Meticulous machine API (/api/v1/...) and external/non-api URLs - if (!isMeticAIProxyApiPath(url) && !isDialInAliasPath) { - return _fetch(input, init) - } - - // ── Translate key MeticAI proxy endpoints to Meticulous native API ── - - // POST /api/machine/run-profile/:id → load profile → start - const runMatch = url.match(/\/api\/machine\/run-profile\/([^/?]+)/) - if (runMatch && method === 'POST') { - const profileId = decodeURIComponent(runMatch[1]) - return (async () => { - _activeOverrideProfile = null - // Try loading directly first - let loadResp = await _fetch(`/api/v1/profile/load/${profileId}`) - if (!loadResp.ok) { - // Machine is busy — send stop, then retry with backoff - await _fetch('/api/v1/action/stop') - for (let attempt = 0; attempt < 10; attempt++) { - await new Promise(r => setTimeout(r, 2000)) - loadResp = await _fetch(`/api/v1/profile/load/${profileId}`) - if (loadResp.ok) break - const body = await loadResp.json().catch(() => ({})) as {error?: string} - if (body.error !== 'machine is busy') { - return jsonResponse({ status: 'error', detail: body.error || 'Load failed' }, 502) - } - } - if (!loadResp.ok) { - return jsonResponse({ status: 'error', detail: 'Machine busy — try again' }, 409) - } - } - const startResp = await _fetch('/api/v1/action/start') - return startResp.ok - ? jsonResponse({ status: 'success', message: 'Profile started' }) - : jsonResponse({ status: 'error', detail: 'Failed to start' }, 502) - })() - } - - // POST /api/machine/run-profile-with-overrides/:id → apply overrides + ephemeral load + start - const runOverridesMatch = url.match(/\/api\/machine\/run-profile-with-overrides\/([^/?]+)/) - if (runOverridesMatch && method === 'POST') { - const profileId = decodeURIComponent(runOverridesMatch[1]) - return (async () => { - // Parse FormData from the request body - const request = input instanceof Request ? input : new Request(input, init) - const formData = await request.formData() - const overridesRaw = formData.get('overrides_json') as string | null - const saveMode = (formData.get('save_mode') as string) || 'none' - const newName = (formData.get('new_name') as string) || '' - - let overridesDict: Record - try { - overridesDict = overridesRaw ? JSON.parse(overridesRaw) : {} - } catch { - return jsonResponse({ detail: 'Invalid overrides JSON' }, 422) - } - - if (!['none', 'save_original', 'save_new'].includes(saveMode)) { - return jsonResponse({ detail: `Invalid save_mode: ${saveMode}` }, 422) - } - if (saveMode === 'save_new' && !newName.trim()) { - return jsonResponse({ detail: 'new_name is required when save_mode is save_new' }, 422) - } - - // Reject info_ variable overrides - const infoKeys = Object.keys(overridesDict).filter(k => k.startsWith('info_')) - if (infoKeys.length > 0) { - return jsonResponse({ detail: `Cannot override info variables: ${infoKeys.join(', ')}` }, 422) - } - - // Fetch the original profile - const profileResp = await _fetch(`/api/v1/profile/get/${profileId}`) - if (!profileResp.ok) { - return jsonResponse({ detail: `Profile ${profileId} not found` }, 404) - } - const profileData = await profileResp.json() as Record - const originalName = (profileData.name as string) || 'Unknown Profile' - - // Apply variable overrides (deep copy) - function applyOverrides(profile: Record, overrides: Record): Record { - const modified = JSON.parse(JSON.stringify(profile)) as Record - if (!Object.keys(overrides).length) return modified - const topLevelKeys = new Set(['final_weight', 'temperature']) - const variables = modified.variables as Array> | undefined - if (variables) { - const adjustableKeys = new Set( - variables.filter(v => typeof v.key === 'string' && !(v.key as string).startsWith('info_')).map(v => v.key as string) - ) - for (const [key, value] of Object.entries(overrides)) { - if (!adjustableKeys.has(key) && !topLevelKeys.has(key)) continue - if (adjustableKeys.has(key)) { - for (const v of variables) { - if (v.key === key) { v.value = value; break } - } - } - } - } - // Also update top-level fields - for (const key of ['final_weight', 'temperature']) { - if (key in overrides) modified[key] = overrides[key] - } - return modified - } - - const hasOverrides = Object.keys(overridesDict).length > 0 - - // Handle save_new: save a copy with the new name first - if (saveMode === 'save_new' && hasOverrides) { - const newProfile = applyOverrides(profileData, overridesDict) - delete newProfile.id - newProfile.name = newName.trim() - const saveResp = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(newProfile), - }) - if (!saveResp.ok) { - return jsonResponse({ detail: 'Failed to save new profile' }, 502) - } - } - - // Build the profile to load (ephemeral) - if (hasOverrides) { - const modified = applyOverrides(profileData, overridesDict) - if (saveMode === 'save_new') { - modified.name = newName.trim() - delete modified.id - } - // Remember the effective profile so the live view's target curves - // reflect the temporary overrides actually being brewed. - _activeOverrideProfile = { name: (modified.name as string) || originalName, profile: modified as unknown as CachedProfile } - // Ephemeral load: POST /api/v1/profile/load (loads into memory without persisting) - const loadResp = await _fetch('/api/v1/profile/load', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(modified), - }) - if (!loadResp.ok) { - return jsonResponse({ detail: 'Failed to load modified profile' }, 502) - } - } else { - _activeOverrideProfile = null - // No overrides — just load the original by ID - let loadResp = await _fetch(`/api/v1/profile/load/${profileId}`) - if (!loadResp.ok) { - await _fetch('/api/v1/action/stop') - for (let attempt = 0; attempt < 10; attempt++) { - await new Promise(r => setTimeout(r, 2000)) - loadResp = await _fetch(`/api/v1/profile/load/${profileId}`) - if (loadResp.ok) break - } - if (!loadResp.ok) { - return jsonResponse({ detail: 'Machine busy — try again' }, 409) - } - } - } - - // Start extraction - const startResp = await _fetch('/api/v1/action/start') - if (!startResp.ok) { - return jsonResponse({ detail: 'Failed to start profile' }, 502) - } - - // Handle save_original: save overrides back to original profile after starting - if (saveMode === 'save_original' && hasOverrides) { - const saved = applyOverrides(profileData, overridesDict) - saved.id = profileId - saved.name = originalName - _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(saved), - }).catch(err => console.warn('[direct-mode] Failed to save overrides to original:', err)) - } - - return jsonResponse({ - status: 'success', - message: hasOverrides ? 'Profile started with overrides' : 'Profile started', - profile_id: profileId, - profile_name: saveMode === 'save_new' ? newName.trim() : originalName, - overrides_applied: Object.keys(overridesDict).length, - save_mode: saveMode, - }) - })().catch(err => { - console.error('[direct-mode] run-profile-with-overrides error:', err) - return jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to run profile with overrides' }, 500) - }) - } - - // POST /api/machine/command/start → GET /api/v1/action/start - if (url.match(/\/api\/machine\/command\/start/) && method === 'POST') { - return _fetch('/api/v1/action/start').then(r => - r.ok ? jsonResponse({ success: true }) : jsonResponse({ success: false }, 502) - ).catch(() => jsonResponse({ success: false }, 502)) - } - - // POST /api/machine/command/stop → GET /api/v1/action/stop - if (url.match(/\/api\/machine\/command\/stop/) && method === 'POST') { - return _fetch('/api/v1/action/stop').then(r => - r.ok ? jsonResponse({ success: true }) : jsonResponse({ success: false }, 502) - ).catch(() => jsonResponse({ success: false }, 502)) - } - - // POST /api/machine/command/load-profile → load by name - if (url.match(/\/api\/machine\/command\/load-profile/) && method === 'POST') { - return new Response(init?.body || '{}').json().then((body: {name?: string}) => { - if (!body.name) return jsonResponse({ success: false, message: 'No profile name' }, 400) - // Find profile ID by name, then load it - return _loadProfilesFromMachine().then((profiles) => { - const match = profiles.find(p => p.name === body.name) - if (!match) return jsonResponse({ success: false, message: 'Profile not found' }, 404) - return _fetch(`/api/v1/profile/load/${match.id}`).then(r => - r.ok ? jsonResponse({ success: true }) : jsonResponse({ success: false }, 502) - ) - }) - }).catch(() => jsonResponse({ success: false }, 502)) - } - - // /api/dialin/* → local direct/capacitor session store with backend-compatible shapes. - if (dialInPathname === '/api/dialin/sessions' && method === 'POST') { - return (async () => { - try { - const session = await createDirectDialInSession(await readJsonRequestBody(input, init)) - return jsonResponse(session, 201) - } catch (err) { - const status = err instanceof DirectStorageValidationError ? err.status : 400 - const detail = err instanceof Error ? err.message : 'Invalid dial-in session' - return jsonResponse({ detail }, status) - } - })() - } - - if (dialInPathname === '/api/dialin/sessions' && method === 'GET') { - return (async () => { - try { - const status = new URL(url, window.location.origin).searchParams.get('status') - return jsonResponse({ sessions: await listDirectDialInSessions(status) }) - } catch (err) { - const status = err instanceof DirectStorageValidationError ? err.status : 400 - const detail = err instanceof Error ? err.message : 'Failed to list dial-in sessions' - return jsonResponse({ detail }, status) - } - })() - } - - const dialInRecommendMatch = dialInPathname.match(/^\/api\/dialin\/sessions\/([^/]+)\/recommend$/) - if (dialInRecommendMatch && method === 'POST') { - return generateDirectDialInRecommendations(decodeURIComponent(dialInRecommendMatch[1])) - .then((result) => jsonResponse(result)) - .catch((err) => { - const status = err instanceof DirectStorageValidationError ? err.status : 500 - const detail = err instanceof Error ? err.message : 'Failed to generate recommendations' - return jsonResponse({ detail }, status) - }) - } - - const dialInCompleteMatch = dialInPathname.match(/^\/api\/dialin\/sessions\/([^/]+)\/complete$/) - if (dialInCompleteMatch && method === 'POST') { - return completeDirectDialInSession(decodeURIComponent(dialInCompleteMatch[1])) - .then((session) => jsonResponse(session)) - .catch((err) => { - const status = err instanceof DirectStorageValidationError ? err.status : 500 - const detail = err instanceof Error ? err.message : 'Failed to complete session' - return jsonResponse({ detail }, status) - }) - } - - const dialInRecommendationsMatch = dialInPathname.match(/^\/api\/dialin\/sessions\/([^/]+)\/iterations\/(\d+)\/recommendations$/) - if (dialInRecommendationsMatch && method === 'PUT') { - return (async () => { - try { - const iteration = await updateDirectDialInRecommendations( - decodeURIComponent(dialInRecommendationsMatch[1]), - Number(dialInRecommendationsMatch[2]), - await readJsonRequestBody(input, init), - ) - return jsonResponse(iteration) - } catch (err) { - const status = err instanceof DirectStorageValidationError ? err.status : 500 - const detail = err instanceof Error ? err.message : 'Failed to update recommendations' - return jsonResponse({ detail }, status) - } - })() - } - - const dialInIterationsMatch = dialInPathname.match(/^\/api\/dialin\/sessions\/([^/]+)\/iterations$/) - if (dialInIterationsMatch && method === 'POST') { - return (async () => { - try { - const iteration = await addDirectDialInIteration( - decodeURIComponent(dialInIterationsMatch[1]), - await readJsonRequestBody(input, init), - ) - return jsonResponse(iteration, 201) - } catch (err) { - const status = err instanceof DirectStorageValidationError ? err.status : 500 - const detail = err instanceof Error ? err.message : 'Failed to add iteration' - return jsonResponse({ detail }, status) - } - })() - } - - const dialInSessionMatch = dialInPathname.match(/^\/api\/dialin\/sessions\/([^/]+)$/) - if (dialInSessionMatch && method === 'GET') { - return getDirectDialInSession(decodeURIComponent(dialInSessionMatch[1])) - .then((session) => session ? jsonResponse(session) : jsonResponse({ detail: 'Session not found' }, 404)) - } - if (dialInSessionMatch && method === 'DELETE') { - return deleteDirectDialInSession(decodeURIComponent(dialInSessionMatch[1])) - .then((deleted) => deleted ? jsonResponse({ deleted: true }) : jsonResponse({ detail: 'Session not found' }, 404)) - } - - // POST /api/profile/import → save to machine (file import) or no-op (machine import) - if (url.match(/\/api\/profile\/import$/) && method === 'POST') { - return (async () => { - try { - const body = await new Response(init?.body || '{}').json() as { - profile?: Record; source?: string; generate_description?: boolean - } - const profileName = (body.profile as {name?: string})?.name || 'Unknown' - if (body.source === 'file' && body.profile) { - // Upload profile to machine - const saveResp = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(body.profile), - }) - if (!saveResp.ok) { - return jsonResponse({ status: 'error', detail: 'Failed to save profile to machine' }, 502) - } - _invalidateProfileListCache() - } - return jsonResponse({ - status: 'success', - entry_id: 'direct-' + Date.now(), - profile_name: profileName, - has_description: false, - uploaded_to_machine: true, - }) - } catch { - return jsonResponse({ status: 'error', detail: 'Import failed' }, 500) - } - })() - } - - // POST /api/profile/import-all → return success (profiles already on machine) - if (url.match(/\/api\/profile\/import-all/) && method === 'POST') { - return Promise.resolve(jsonResponse({ - status: 'success', - imported: 0, - skipped: 0, - message: 'All profiles already on machine', - })) - } - - - // POST /api/convert-decent → convert Decent profile to Meticulous format - if (url.match(/\/api\/convert-decent/) && method === 'POST') { - return (async () => { - try { - const { detectDecentFormat, convertDecentToMeticulous } = await import('@/services/decentConverter') - const body = await new Response(init?.body || '{}').json() - if (!detectDecentFormat(body)) { - return jsonResponse({ detail: 'Not a valid Decent Espresso profile format' }, 400) - } - return jsonResponse(convertDecentToMeticulous(body)) - } catch { - return jsonResponse({ detail: 'Decent profile conversion failed' }, 500) - } - })() - } - - // POST /api/import-from-url -> fetch URL, parse profile JSON, save to machine - if (url.match(/\/api\/import-from-url/) && method === 'POST') { - return (async () => { - try { - const body = await new Response(init?.body || '{}').json() as { url?: string } - const profileUrl = body.url?.trim() - if (!profileUrl) return jsonResponse({ status: 'error', detail: 'No URL provided' }, 400) - let profileResp: Response - try { profileResp = await _fetch(profileUrl) } catch { return jsonResponse({ status: 'error', detail: 'Failed to fetch URL' }, 502) } - let profileJson: Record - try { profileJson = await profileResp.json() } catch { return jsonResponse({ status: 'error', detail: 'URL did not return valid JSON' }, 400) } - // Auto-detect Decent format and convert - let convertedFromDecent = false - const { detectDecentFormat, convertDecentToMeticulous } = await import('@/services/decentConverter') - if (detectDecentFormat(profileJson)) { - const result = convertDecentToMeticulous(profileJson) - profileJson = result.profile as unknown as Record - convertedFromDecent = true - } - if (typeof profileJson.name !== 'string' || !profileJson.name) return jsonResponse({ status: 'error', detail: "Profile is missing a 'name' field" }, 400) - const saveResp = await _fetch('/api/v1/profile/save', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(profileJson) }) - if (!saveResp.ok) return jsonResponse({ status: 'error', detail: 'Failed to save profile to machine' }, 502) - _invalidateProfileListCache() - return jsonResponse({ status: 'success', entry_id: 'direct-' + Date.now(), profile_name: profileJson.name as string, has_description: false, uploaded_to_machine: true, converted_from_decent: convertedFromDecent }) - } catch { return jsonResponse({ status: 'error', detail: 'Import from URL failed' }, 500) } - })() - } - - // POST /api/profiles/recommend → deterministic direct profile recommendations - if (pathname === '/api/profiles/recommend' && method === 'POST') { - return (async () => { - const request = input instanceof Request ? input : new Request(input, init) - const form = await request.formData() - const tags = form.getAll('tags').map((tag) => String(tag)).filter(Boolean) - const limit = Math.max(1, safeNumber(form.get('limit'), 5)) - const profiles = await _loadProfilesFromMachine() - const recommendations = recommendProfilesFromTags(profiles, tags, limit) - return jsonResponse({ status: 'success', recommendations, count: recommendations.length }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to get recommendations' }, 500)) - } - - // POST /api/profiles/find-similar → deterministic direct profile similarity - if (pathname === '/api/profiles/find-similar' && method === 'POST') { - return (async () => { - const request = input instanceof Request ? input : new Request(input, init) - const form = await request.formData() - const profileName = String(form.get('profile_name') ?? '') - const limit = Math.max(1, safeNumber(form.get('limit'), 10)) - const profiles = await _loadProfilesFromMachine() - const recommendations = findSimilarProfiles(profiles, profileName, limit) - return jsonResponse({ status: 'success', recommendations, count: recommendations.length }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to find similar profiles' }, 500)) - } - - // PATCH /api/machine/profile/:id → rename a machine profile through profile/save - const renameMatch = pathname.match(/^\/api\/machine\/profile\/([^/?]+)$/) - if (renameMatch && method === 'PATCH') { - return (async () => { - const profileId = decodeURIComponent(renameMatch[1]) - const request = input instanceof Request ? input : new Request(input, init) - let body: { name?: unknown } - try { - body = await request.json() as { name?: unknown } - } catch { - return jsonResponse({ detail: 'Invalid profile update body' }, 400) - } - - const newName = typeof body.name === 'string' ? body.name.trim() : '' - if (!newName) { - return jsonResponse({ detail: "At least one field to update is required (e.g., 'name')" }, 400) - } - - const profileResp = await _fetch(`/api/v1/profile/get/${encodeURIComponent(profileId)}`) - if (!profileResp.ok) { - return jsonResponse({ detail: `Profile not found: ${profileId}` }, 404) - } - - const profileJson = await profileResp.json() as Record - const oldName = typeof profileJson.name === 'string' && profileJson.name ? profileJson.name : profileId - const updatedProfile = { ...profileJson, name: newName } - const saveResp = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(updatedProfile), - }) - if (!saveResp.ok) { - return jsonResponse({ detail: 'Failed to save profile to machine' }, 502) - } - _invalidateProfileListCache() - return jsonResponse({ - status: 'success', - message: `Profile renamed from '${oldName}' to '${newName}'`, - profile_id: profileId, - old_name: oldName, - new_name: newName, - }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to rename profile' }, 500)) - } - - // POST /api/machine/profiles/order → persist new order via machine settings - // The machine stores profile ordering in the `profile_order` user setting - // (a list of IDs); /api/v1/profile/list is served in that order. - if (url.match(/\/api\/machine\/profiles\/order$/) && method === 'POST') { - return (async () => { - try { - const { order } = await new Response(init?.body || '{}').json() as { order?: unknown } - if (!Array.isArray(order) || order.length === 0 || !order.every((id) => typeof id === 'string' && id)) { - return jsonResponse({ status: 'error', error: 'order must be a non-empty list of profile IDs' }, 400) - } - const resp = await _fetch('/api/v1/settings', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify({ profile_order: order }), - }) - if (!resp.ok) return jsonResponse({ status: 'error', error: `Machine rejected order (HTTP ${resp.status})` }, 502) - _invalidateProfileListCache() - return jsonResponse({ status: 'success', order }) - } catch (err) { - return jsonResponse({ status: 'error', error: err instanceof Error ? err.message : 'Failed to reorder profiles' }, 500) - } - })() - } - - // DELETE /api/machine/profile/:id → DELETE /api/v1/profile/delete/:id - const deleteMatch = url.match(/\/api\/machine\/profile\/([^/?]+)$/) - if (deleteMatch && method === 'DELETE') { - return _fetch(`/api/v1/profile/delete/${deleteMatch[1]}`, { method: 'DELETE' }) - .then(r => r.ok ? jsonResponse({ success: true }) : jsonResponse({ success: false }, 502)) - .catch(() => jsonResponse({ success: false }, 502)) - } - - // POST /api/machine/profile/load → load by ID on machine - if (url.match(/\/api\/machine\/profile\/load$/) && method === 'POST') { - return (async () => { - try { - const { profile_id } = await new Response(init?.body || '{}').json() as { profile_id?: string } - if (!profile_id) return jsonResponse({ success: false, message: 'No profile_id' }, 400) - let loadResp = await _fetch(`/api/v1/profile/load/${profile_id}`) - if (!loadResp.ok) { - // Machine may be busy — send stop, then retry - await _fetch('/api/v1/action/stop') - await new Promise(r => setTimeout(r, 2000)) - loadResp = await _fetch(`/api/v1/profile/load/${profile_id}`) - } - if (!loadResp.ok) return jsonResponse({ success: false }, 502) - return jsonResponse({ success: true }) - } catch { - return jsonResponse({ success: false }, 500) - } - })() - } - - // GET /api/machine/profiles → /api/v1/profile/list (stale-while-revalidate) - if (url.match(/\/api\/machine\/profiles$/)) { - const cached = localStorage.getItem(PROFILE_LIST_CACHE_KEY) - const cacheTs = Number(localStorage.getItem(PROFILE_LIST_CACHE_KEY + ':ts') || '0') - const CACHE_TTL_MS = 2 * 60 * 1000 // 2 minutes - const isFresh = cached && (Date.now() - cacheTs < CACHE_TTL_MS) - - // Background revalidation — updates cache for next request - const revalidate = () => { - _fetch('/api/v1/profile/list') - .then(r => r.ok ? r.json() : null) - .then((data: CachedProfile[] | null) => { - if (data) { - _processProfileList(data) - try { localStorage.setItem(PROFILE_LIST_CACHE_KEY + ':ts', String(Date.now())) } catch { /* ignore */ } - } - }) - .catch(() => { /* non-critical */ }) - } - - // If cache is fresh, serve immediately and skip network - if (isFresh && cached) { - try { return Promise.resolve(jsonResponse(JSON.parse(cached))) } catch { /* fall through */ } - } - - // If cache exists but stale, serve stale + revalidate in background - if (cached) { - revalidate() - try { return Promise.resolve(jsonResponse(JSON.parse(cached))) } catch { /* fall through */ } - } - - // No cache — must fetch from network - return _fetch('/api/v1/profile/list').then(r => { - if (!r.ok) return jsonResponse({ profiles: [] }) - return r.json().then((data: CachedProfile[]) => { - const result = _processProfileList(data) - try { localStorage.setItem(PROFILE_LIST_CACHE_KEY + ':ts', String(Date.now())) } catch { /* ignore */ } - return jsonResponse(result) - }) - }).catch(() => jsonResponse({ profiles: [] })) - } - - // /api/machine/profile/:id/json → /api/v1/profile/get/:id (wrap in {profile}) - const profileJsonMatch = url.match(/\/api\/machine\/profile\/([^/]+)\/json/) - if (profileJsonMatch) { - return _fetch(`/api/v1/profile/get/${profileJsonMatch[1]}`).then(r => { - if (!r.ok) return jsonResponse({}) - return r.json().then((data: unknown) => jsonResponse({ profile: data })) - }).catch(() => jsonResponse({})) - } - - // POST /api/profile/{name}/image → upload a direct image and persist it to the machine profile - const profileImageUploadMatch = pathname.match(/^\/api\/profile\/([^/]+)\/image$/) - if (profileImageUploadMatch && method === 'POST') { - return (async () => { - const name = decodeURIComponent(profileImageUploadMatch[1]) - const request = input instanceof Request ? input : new Request(input, init) - const form = await request.formData() - const file = form.get('file') - if (!(file instanceof Blob) || !file.type.startsWith('image/')) { - return jsonResponse({ detail: 'File must be an image' }, 400) - } - const imageDataUri = await blobToDataUri(file) - const { profile } = await _saveProfileImageData(name, imageDataUri) - return jsonResponse({ - status: 'success', - message: `Image uploaded for profile '${name}'`, - profile_id: profile.id, - image_size: imageDataUri.length, - }) - })().catch((err) => { - const status = imageErrorStatus(err) - return jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to upload profile image' }, status) - }) - } - - // POST /api/profile/{name}/generate-image → BrowserAI direct profile image generation - const profileGenerateImageMatch = pathname.match(/^\/api\/profile\/([^/]+)\/generate-image$/) - if (profileGenerateImageMatch && method === 'POST') { - return (async () => { - const name = decodeURIComponent(profileGenerateImageMatch[1]) - const parsedUrl = new URL(url, window.location.origin) - const style = parsedUrl.searchParams.get('style') || 'abstract' - const tags = (parsedUrl.searchParams.get('tags') || '').split(',').map((tag) => tag.trim()).filter(Boolean) - const preview = parsedUrl.searchParams.get('preview') === 'true' - const count = Math.min(4, Math.max(1, parseInt(parsedUrl.searchParams.get('count') || '1', 10) || 1)) - const aiService = createBrowserAIService() - if (!aiService.isConfigured()) { - return jsonResponse({ detail: 'AI features are unavailable. Please configure a Gemini API key in Settings.' }, 503) - } - - if (count > 1) { - // Batch mode: fire parallel requests - const promises = Array.from({ length: count }, (_, i) => - aiService.generateImage({ profileName: name, style, tags, preview: true }) - .then(async (blob) => { - const dataUri = await blobToDataUri(blob) - return { index: i, image: dataUri } as { index: number; image: string | null; error?: string } - }) - .catch((err) => ({ - index: i, - image: null as string | null, - error: err instanceof Error ? err.message : 'Generation failed', - })) - ) - const results = await Promise.all(promises) - return jsonResponse({ - status: 'preview', - message: `Generated images for profile '${name}'`, - style, - images: results, - count, - }) - } - - const imageBlob = await aiService.generateImage({ profileName: name, style, tags, preview }) - const imageDataUri = await blobToDataUri(imageBlob) - if (preview) { - return jsonResponse({ - status: 'preview', - message: `Preview image generated for profile '${name}'`, - style, - image_data: imageDataUri, - }) - } - const { profile } = await _saveProfileImageData(name, imageDataUri) - return jsonResponse({ - status: 'success', - message: `Image generated for profile '${name}'`, - profile_id: profile.id, - style, - }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to generate profile image' }, imageErrorStatus(err))) - } - - // POST /api/profile/{name}/apply-image → persist a generated preview image to the machine profile - const profileApplyImageMatch = pathname.match(/^\/api\/profile\/([^/]+)\/apply-image$/) - if (profileApplyImageMatch && method === 'POST') { - return (async () => { - const name = decodeURIComponent(profileApplyImageMatch[1]) - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.json() as { image_data?: string } - if (!body.image_data) return jsonResponse({ detail: 'Invalid image data - must be a data URI' }, 400) - const { profile } = await _saveProfileImageData(name, body.image_data) - return jsonResponse({ - status: 'success', - message: `Image applied to profile '${name}'`, - profile_id: profile.id, - }) - })().catch((err) => { - const status = imageErrorStatus(err) - return jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to apply profile image' }, status) - }) - } - - // POST /api/profile/{name}/apply-recommendations → patch profile variables and save directly - const profileApplyRecommendationsMatch = pathname.match(/^\/api\/profile\/([^/]+)\/apply-recommendations$/) - if (profileApplyRecommendationsMatch && method === 'POST') { - return (async () => { - const name = decodeURIComponent(profileApplyRecommendationsMatch[1]) - const request = input instanceof Request ? input : new Request(input, init) - const form = await request.formData() - const rawRecommendations = String(form.get('recommendations') ?? '[]') - const parsed = JSON.parse(rawRecommendations) - if (!Array.isArray(parsed)) return jsonResponse({ detail: 'recommendations must be a JSON array' }, 400) - const profile = await _findProfileByName(name) - if (!profile) return jsonResponse({ detail: `Profile '${name}' not found on machine` }, 404) - - // Fetch full profile (with stages/variables) — the list cache may not include them - let fullProfile = profile - try { - const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) - if (fullResp.ok) { - const fullData = await fullResp.json() as CachedProfile - if (fullData && fullData.id) fullProfile = fullData - } - } catch { /* use cached profile as fallback */ } - - const updated = cloneProfileForSave(fullProfile) - const applied: Array> = [] - const skipped: Array> = [] - - for (const recommendation of parsed) { - if (!isRecord(recommendation)) { - skipped.push({ variable: '?', reason: 'invalid entry (not an object)' }) - continue - } - const variable = String(recommendation.variable ?? '') - const stage = String(recommendation.stage ?? '') - const recommendedValue = optionalNumber(recommendation.recommended_value) - if (recommendedValue === null) { - skipped.push({ variable, reason: 'invalid recommended_value' }) - continue - } - if (stage === 'global' && variable === 'temperature') { - updated.temperature = recommendedValue - applied.push({ variable, stage, value: recommendedValue }) - continue - } - if (stage === 'global' && variable === 'final_weight') { - updated.final_weight = recommendedValue - applied.push({ variable, stage, value: recommendedValue }) - continue - } - const profileVariable = updated.variables?.find((item) => item.key === variable) - if (profileVariable) { - if (String(profileVariable.key ?? '').startsWith('info_') || profileVariable.adjustable === false) { - skipped.push({ variable, reason: 'info-only / not adjustable' }) - } else { - profileVariable.value = recommendedValue - applied.push({ variable, stage, value: recommendedValue }) - } - continue - } - const exitTriggerResult = updateStageValue( - updated.stages, - stage, - 'exit_triggers', - { - exit_weight: 'weight', - exit_time: 'time', - exit_pressure: 'pressure', - exit_flow: 'flow', - exit_volume: 'volume', - }, - variable, - recommendedValue, - ) - if (exitTriggerResult.applied) { - applied.push({ variable, stage, value: recommendedValue }) - continue - } - if (exitTriggerResult.reason) { - skipped.push({ variable, reason: exitTriggerResult.reason }) - continue - } - const limitResult = updateStageValue( - updated.stages, - stage, - 'limits', - { - limit_pressure: 'pressure', - limit_flow: 'flow', - limit_weight: 'weight', - }, - variable, - recommendedValue, - ) - if (limitResult.applied) { - applied.push({ variable, stage, value: recommendedValue }) - continue - } - if (limitResult.reason) { - skipped.push({ variable, reason: limitResult.reason }) - continue - } - // Fuzzy fallback: models routinely invent positional ids like - // "pressure_2" / "flow_0" instead of the real variable key. Recover - // the intended variable by type + current_value before giving up. - const fuzzyVariable = resolveFuzzyVariable( - updated.variables, - variable, - recommendation.current_value, - stage, - ) - if (fuzzyVariable) { - fuzzyVariable.value = recommendedValue - applied.push({ - variable: String(fuzzyVariable.key ?? variable), - stage, - value: recommendedValue, - matched_from: variable, - }) - continue - } - skipped.push({ variable, reason: 'variable not found in profile' }) - } - - if (applied.length === 0) { - return jsonResponse({ - status: 'no_changes', - message: 'No applicable recommendations to apply', - applied, - skipped, - }) - } - const saveResponse = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(updated), - }) - if (!saveResponse.ok) return jsonResponse({ detail: 'Failed to save profile to machine' }, 502) - _profileCache.set(updated.name, updated) - return jsonResponse({ status: 'success', profile: updated, applied, skipped }) - })().catch((err) => { - const detail = err instanceof SyntaxError ? `Invalid recommendations JSON: ${err.message}` : err instanceof Error ? err.message : 'Failed to apply recommendations' - return jsonResponse({ detail }, err instanceof SyntaxError ? 400 : 500) - }) - } - - // GET /api/profile/{name}/image-proxy → proxy to machine image URL from cache - const imageProxyMatch = pathname.match(/^\/api\/profile\/([^/]+)\/image-proxy$/) - if (imageProxyMatch) { - const name = decodeURIComponent(imageProxyMatch[1]) - return (async () => { - const profile = await _findProfileByName(name) - if (!profile) return new Response('', { status: 404 }) - const cachedImage = await getDirectProfileImage(profile.id) - if (cachedImage) { - return new Response(cachedImage, { - headers: { 'Content-Type': cachedImage.type || 'application/octet-stream' }, - }) - } - const imagePath = getDirectProfileImagePath(profile) - if (!imagePath) return new Response('', { status: 404 }) - const machineBase = getDefaultMachineUrl() - const imageUrl = new URL(imagePath, machineBase).toString() - const imageResponse = await _originalFetch(imageUrl) - if (!imageResponse.ok) return new Response('', { status: imageResponse.status }) - const imageBlob = await imageResponse.blob() - await saveDirectProfileImage(profile.id, imageBlob) - return new Response(imageBlob, { - headers: { - 'Content-Type': imageResponse.headers.get('Content-Type') ?? imageBlob.type ?? 'application/octet-stream', - }, - }) - })().catch(() => new Response('', { status: 404 })) - } - - // GET /api/profile/{name}/target-curves → estimated profile target curves - const targetCurvesMatch = pathname.match(/^\/api\/profile\/([^/]+)\/target-curves$/) - if (targetCurvesMatch && method === 'GET') { - return (async () => { - const name = decodeURIComponent(targetCurvesMatch[1]) - // Prefer the active override profile so the live graph reflects the - // temporary variables actually being brewed. - let profile = - _activeOverrideProfile && _activeOverrideProfile.name === name - ? _activeOverrideProfile.profile - : await _findProfileByName(name) - if (!profile) return jsonResponse({ detail: `Profile '${name}' not found` }, 404) - // The machine's profile list omits stages; fetch the full profile so the - // estimated curves are non-empty (the active override already has stages). - if (!Array.isArray(profile.stages) || profile.stages.length === 0) { - try { - const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) - if (fullResp.ok) { - const full = await fullResp.json() as CachedProfile - if (Array.isArray(full?.stages)) profile = full - } - } catch { /* fall back to the cached profile */ } - } - return jsonResponse({ - status: 'success', - target_curves: generateEstimatedTargetCurves(profile), - }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to get target curves' }, 500)) - } - - // PUT /api/profile/{name}/edit → edit and save the machine profile directly - const profileEditMatch = pathname.match(/^\/api\/profile\/([^/]+)\/edit$/) - if (profileEditMatch && method === 'PUT') { - return (async () => { - const name = decodeURIComponent(profileEditMatch[1]) - const profile = await _findProfileByName(name) - if (!profile) return jsonResponse({ detail: `Profile '${name}' not found on machine` }, 404) - // Fetch full profile (with stages) — the list cache doesn't include stages - const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) - let fullProfile = profile - if (fullResp.ok) { - try { - const parsed = await fullResp.json() as CachedProfile - if (typeof parsed?.id === 'string') fullProfile = parsed - } catch { /* use cached profile */ } - } - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.json() as { - name?: string - temperature?: number - final_weight?: number - variables?: Array<{ key?: string; value?: unknown }> - author?: string - } - const updated: CachedProfile = JSON.parse(JSON.stringify(fullProfile)) - if (body.name !== undefined) { - if (typeof body.name !== 'string' || !body.name.trim()) { - return jsonResponse({ detail: 'Profile name must be a non-empty string' }, 400) - } - updated.name = body.name.trim() - } - if (body.temperature !== undefined) updated.temperature = Number(body.temperature) - if (body.final_weight !== undefined) updated.final_weight = Number(body.final_weight) - if (body.author !== undefined) updated.author = body.author - if (body.variables !== undefined && Array.isArray(updated.variables)) { - const incoming = new Map( - body.variables - .filter((variable) => typeof variable.key === 'string' && 'value' in variable) - .map((variable) => [variable.key as string, variable.value]), - ) - updated.variables = updated.variables.map((variable) => { - const key = typeof variable.key === 'string' ? variable.key : null - return key && incoming.has(key) ? { ...variable, value: incoming.get(key) } : variable - }) - } - const machineProfile = stripDirectProfileMetadata(updated) - const saveResponse = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(machineProfile), - }) - if (!saveResponse.ok) return jsonResponse({ detail: 'Failed to save profile to machine' }, 502) - _profileCache.delete(name) - _profileCache.set(updated.name, updated) - - // Regenerate static description for the edited profile - try { - const { buildStaticProfileDescription } = await import('@/lib/staticProfileDescription') - const desc = buildStaticProfileDescription(machineProfile as Parameters[0]) - _descriptionCache.set(updated.id, desc) - _persistDescriptionCache() - } catch { /* non-critical */ } - - return jsonResponse({ status: 'success', profile: machineProfile }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to edit profile' }, 500)) - } - - // GET /api/profile/{name} → fetch profile metadata and optional stage details - const profileByNameMatch = pathname.match(/^\/api\/profile\/([^/]+)$/) - if (profileByNameMatch && method === 'GET') { - const name = decodeURIComponent(profileByNameMatch[1]) - return (async () => { - const profile = await _findProfileByName(name) - if (!profile) { - return jsonResponse({ - status: 'not_found', - profile: null, - message: `Profile '${name}' not found on machine`, - }) - } - const parsedUrl = new URL(url, window.location.origin) - const includeStages = parsedUrl.searchParams.get('include_stages') === 'true' - const responseProfile: Record = { - id: profile.id, - name: profile.name, - author: profile.author, - temperature: profile.temperature, - final_weight: profile.final_weight, - image: getDirectProfileImagePath(profile), - accent_color: profile.display?.accentColor, - display: profile.display, - } - if (includeStages) { - // The list cache (_findProfileByName) frequently omits stages and - // variables, which left the pre-shot breakdown empty and forced the - // auto-description to a generic fallback. Fetch the full profile by id - // when the cached copy lacks stages so the breakdown + summary match - // the server runtime. - let stages = Array.isArray(profile.stages) ? profile.stages : [] - let variables = Array.isArray(profile.variables) ? profile.variables : [] - if (stages.length === 0) { - try { - const fullResp = await _fetch(`/api/v1/profile/get/${profile.id}`) - if (fullResp.ok) { - const full = await fullResp.json() as CachedProfile - if (Array.isArray(full?.stages)) stages = full.stages - if (Array.isArray(full?.variables)) variables = full.variables - } - } catch { /* fall back to the cached profile */ } - } - responseProfile.stages = stages - responseProfile.variables = variables - } - return jsonResponse({ status: 'success', profile: responseProfile }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to get profile info' }, 500)) - } - - // /api/machine/status/health → watcher service proxy - if (url.match(/\/api\/machine\/status\/health/)) { - return (async () => { - try { - const machineBase = getDefaultMachineUrl() - const parsed = new URL(machineBase) - parsed.port = '3000' - const watcherUrl = `${parsed.origin}/status` - - let data: Record - if (_isNative) { - // Native: use CapacitorHttp to bypass CORS - const resp = await CapacitorHttp.get({ url: watcherUrl, connectTimeout: 5000, readTimeout: 5000 }) - if (resp.status >= 200 && resp.status < 300) { - data = typeof resp.data === 'string' ? JSON.parse(resp.data) : resp.data - } else { - return jsonResponse({ error: 'Watcher service unavailable', services: [], system: null }) - } - } else { - const resp = await _originalFetch(watcherUrl, { signal: AbortSignal.timeout(5000) }) - if (resp.ok) { - data = await resp.json() - } else { - return jsonResponse({ error: 'Watcher service unavailable', services: [], system: null }) - } - } - return jsonResponse(transformWatcherResponse(data)) - } catch { - return jsonResponse({ error: 'Watcher service unavailable', services: [], system: null }) - } - })() - } - - // /api/machine/system-info → aggregate system info from machine API - if (url.match(/\/api\/machine\/system-info/)) { - return (async () => { - const info: Record = {} - const endpoints: [string, string][] = [ - ['firmware', '/api/v1/system/firmware'], - ['network', '/api/v1/wifi/status'], - ['hostname', '/api/v1/wifi/hostname'], - ] - for (const [key, path] of endpoints) { - try { - const resp = await _fetch(path) - if (resp.ok) info[key] = await resp.json() - else info[key] = null - } catch { - info[key] = null - } - } - return jsonResponse(info) - })().catch(() => jsonResponse({ firmware: null, network: null, hostname: null })) - } - - // /api/machine/status → synthetic response (real state comes via Socket.IO) - if (url.match(/\/api\/machine\/status/)) { - return Promise.resolve(jsonResponse({ - machine_status: { state: 'idle' }, - scheduled_shots: [], - })) - } - - // /api/last-shot → /api/v1/history/last (translate to MeticAI format) - if (url.match(/\/api\/last-shot/)) { - return (async () => { - const history = await _loadVisibleHistory() - const entry = [...history].sort((a, b) => b.time - a.time)[0] - if (!entry) return jsonResponse({ detail: 'No shots found' }, 404) - return jsonResponse(normalizeLastShot(entry)) - })().catch(() => jsonResponse({ detail: 'No shots found' }, 404)) - } - - // /api/history/{id}/notes → direct local notes storage - const historyNotesMatch = pathname.match(/^\/api\/history\/([^/]+)\/notes$/) - if (historyNotesMatch && (method === 'GET' || method === 'PATCH' || method === 'PUT')) { - return (async () => { - const entryId = decodeURIComponent(historyNotesMatch[1]) - if (method === 'GET') { - const notes = await getDirectHistoryNotes(entryId) - return jsonResponse({ status: 'success', ...notes }) - } - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.json() as { notes?: string } - return jsonResponse(await saveDirectHistoryNotes(entryId, body.notes ?? '')) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to update history notes' }, 500)) - } - - // /api/history/{id} → detail route before the broad list handler - const historyDetailMatch = pathname.match(/^\/api\/history\/([^/]+)$/) - if (historyDetailMatch && method === 'GET') { - return (async () => { - const entryId = decodeURIComponent(historyDetailMatch[1]) - const history = await _loadVisibleHistory() - const entry = history.find((candidate) => candidate.id === entryId) - if (!entry) return jsonResponse({ detail: 'History entry not found' }, 404) - const profileName = typeof entry.profile?.name === 'string' ? entry.profile.name : entry.name ?? '' - const profileId = typeof entry.profile?.id === 'string' ? entry.profile.id : '' - const desc = _descriptionCache.get(profileName) || _descriptionCache.get(profileId) || '' - return jsonResponse(normalizeHistoryEntry(entry, await getDirectHistoryNotes(entryId), desc)) - })().catch(() => jsonResponse({ detail: 'Failed to retrieve history entry' }, 500)) - } - - // DELETE /api/history/{id} → local direct tombstone; machine history is immutable. - if (historyDetailMatch && method === 'DELETE') { - return (async () => { - const entryId = decodeURIComponent(historyDetailMatch[1]) - const history = await _loadVisibleHistory() - if (!history.some((candidate) => candidate.id === entryId)) { - return jsonResponse({ detail: 'History entry not found' }, 404) - } - await deleteDirectHistoryEntry(entryId) - return jsonResponse({ status: 'success', message: 'History entry deleted' }) - })().catch(() => jsonResponse({ detail: 'Failed to delete history entry' }, 500)) - } - - // /api/history → /api/v1/history (translate machine history to MeticAI format) - if (pathname === '/api/history' && method === 'GET') { - return (async () => { - const parsedUrl = new URL(url, window.location.origin) - const limit = safeNumber(parsedUrl.searchParams.get('limit'), 50) - const offset = safeNumber(parsedUrl.searchParams.get('offset'), 0) - const history = await _loadVisibleHistory() - const entries = await Promise.all( - history.slice(offset, offset + limit).map(async (entry) => { - const profileName = typeof entry.profile?.name === 'string' ? entry.profile.name : entry.name ?? '' - const profileId = typeof entry.profile?.id === 'string' ? entry.profile.id : '' - const desc = _descriptionCache.get(profileName) || _descriptionCache.get(profileId) || '' - return normalizeHistoryEntry(entry, await getDirectHistoryNotes(entry.id), desc) - }), - ) - return jsonResponse({ entries, total: history.length, limit, offset }) - })().catch(() => jsonResponse({ entries: [], total: 0, limit: 50, offset: 0 })) - } - - // DELETE /api/history → local direct tombstones for all currently visible machine shots. - if (pathname === '/api/history' && method === 'DELETE') { - return (async () => { - const history = await _loadVisibleHistory() - await clearDirectHistory(history.map((entry) => entry.id)) - return jsonResponse({ status: 'success', message: 'All history cleared' }) - })().catch(() => jsonResponse({ detail: 'Failed to clear history' }, 500)) - } - - // POST /api/machine/preheat → GET /api/v1/action/preheat - if (url.match(/\/api\/machine\/preheat/) && method === 'POST') { - return _fetch('/api/v1/action/preheat').then(r => - r.ok - ? jsonResponse({ status: 'success', message: 'Preheat started' }) - : jsonResponse({ status: 'error', detail: 'Preheat failed' }, 502) - ).catch(() => jsonResponse({ status: 'error', detail: 'Preheat failed' }, 502)) - } - - // POST /api/machine/schedule-shot → not supported in direct mode - // (feature flag scheduledShots=false already hides the UI, but be explicit) - if (url.match(/\/api\/machine\/schedule-shot/) && method === 'POST') { - return Promise.resolve(jsonResponse({ - status: 'error', - detail: 'Scheduled shots are not supported in direct mode. Use the machine UI or MeticAI Docker mode.', - }, 501)) - } - - // /api/machine/profiles/orphaned → empty list (no MeticAI DB in direct mode) - if (url.match(/\/api\/machine\/profiles\/orphaned/)) { - return Promise.resolve(jsonResponse({ orphaned: [] })) - } - - // GET /api/shots/recent/by-profile → /api/v1/history (group entries by profile) - if (url.match(/\/api\/shots\/recent\/by-profile/)) { - return (async () => { - const list = await _loadVisibleHistory() - const annotations = (await getDirectAnnotationSummaries()).annotations - const groups = new Map() - for (const e of list) { - const pName = getHistoryProfileName(e) - const pId = getHistoryProfileId(e) - const shotDate = getHistoryEntryDate(e) - const shotFilename = getHistoryEntryFilename(e) - const metrics = getHistoryMetrics(e) - const annotation = annotations[`${shotDate}/${shotFilename}`] - const shot = { - profile_name: pName, - profile_id: pId, - date: shotDate, - filename: shotFilename, - timestamp: e.time, - final_weight: metrics.final_weight, - total_time: metrics.total_time, - has_annotation: hasRecentShotAnnotation(annotation), - } - if (!groups.has(pName)) { - groups.set(pName, { profile_name: pName, profile_id: pId, shots: [], shot_count: 0 }) - } - const g = groups.get(pName)! - g.shots.push(shot) - g.shot_count++ - } - return jsonResponse({ profiles: Array.from(groups.values()) }) - })().catch(() => jsonResponse({ profiles: [] })) - } - - // GET /api/shots/recent → /api/v1/history (translate entries to RecentShot format) - if (url.match(/\/api\/shots\/recent/)) { - return (async () => { - const list = await _loadVisibleHistory() - const annotations = (await getDirectAnnotationSummaries()).annotations - const shots = list.map(e => { - const shotDate = getHistoryEntryDate(e) - const shotFilename = getHistoryEntryFilename(e) - const metrics = getHistoryMetrics(e) - const annotation = annotations[`${shotDate}/${shotFilename}`] - return { - profile_name: getHistoryProfileName(e), - profile_id: getHistoryProfileId(e), - date: shotDate, - filename: shotFilename, - timestamp: e.time, - final_weight: metrics.final_weight, - total_time: metrics.total_time, - has_annotation: hasRecentShotAnnotation(annotation), - } - }) - return jsonResponse({ shots }) - })().catch(() => jsonResponse({ shots: [] })) - } - - // GET /api/shots/by-profile/:profileName → /api/v1/history (filter by profile name) - const byProfileMatch = url.match(/\/api\/shots\/by-profile\/([^?]+)/) - if (byProfileMatch) { - const profileName = decodeURIComponent(byProfileMatch[1]) - const limitParam = Number(new URL(url, 'http://x').searchParams.get('limit')) - const limit = Number.isFinite(limitParam) && limitParam > 0 ? limitParam : 20 - return (async () => { - const all = await _loadVisibleHistory() - const filtered = all - .filter(e => getHistoryProfileName(e) === profileName) - // Newest first so pagination reveals older shots as the limit grows. - .sort((a, b) => (Number(b.time) || 0) - (Number(a.time) || 0)) - const paged = filtered.slice(0, limit) - const shots = paged.map(e => { - const metrics = getHistoryMetrics(e) - return { - date: getHistoryEntryDate(e), - filename: getHistoryEntryFilename(e), - timestamp: String(e.time), - profile_name: getHistoryProfileName(e), - final_weight: metrics.final_weight, - total_time: metrics.total_time, - } - }) - // Mirror the server: count reflects the returned page so the client's - // "Load more" (hasMore = count >= requestedLimit) works identically. - return jsonResponse({ profile_name: profileName, shots, count: shots.length, limit }) - })().catch(() => jsonResponse({ profile_name: profileName, shots: [], count: 0, limit })) - } - - // GET /api/shots/data/:date/:filename → /api/v1/history (find entry and convert data) - const shotDataMatch = url.match(/\/api\/shots\/data\/([^/]+)\/(.+?)(?:\?|$)/) - if (shotDataMatch) { - const shotDate = decodeURIComponent(shotDataMatch[1]) - const shotFilename = decodeURIComponent(shotDataMatch[2]) - return (async () => { - type HistDataEntry = { - id: string; time: number; name: string; file?: string; - profile?: { name?: string; id?: string; final_weight?: number; temperature?: number; author?: string; stages?: { name: string; type: string; key?: string }[] }; - data?: { shot?: { pressure?: number; flow?: number; weight?: number }; time?: number; profile_time?: number; sensors?: { external_1?: number } }[]; - } - const entry = await _findVisibleShot(shotDate, shotFilename) as HistDataEntry | null - if (!entry) return jsonResponse({ detail: 'Shot not found' }, 404) - const pts = entry.data ?? [] - const timeArr: number[] = [] - const pressureArr: number[] = [] - const flowArr: number[] = [] - const weightArr: number[] = [] - const gravFlowArr: number[] = [] - const temperatureArr: number[] = [] - const statusArr: string[] = [] - for (const pt of pts) { - const status = String((pt as Record).status ?? '') - // During retraction, profile_time freezes — use wall-clock time instead - const isRetracting = status.toLowerCase() === 'retracting' - const timeMs = isRetracting ? (pt.time ?? pt.profile_time ?? 0) : (pt.profile_time ?? pt.time ?? 0) - timeArr.push(timeMs / 1000) - pressureArr.push(pt.shot?.pressure ?? 0) - flowArr.push(pt.shot?.flow ?? 0) - weightArr.push(pt.shot?.weight ?? 0) - gravFlowArr.push((pt.shot as Record)?.gravimetric_flow as number ?? 0) - temperatureArr.push(pt.sensors?.external_1 ?? 0) - statusArr.push(status) - } - const lastPt = pts[pts.length - 1] - const shotData = { - date: shotDate, - filename: shotFilename, - data: { - profile: { - name: entry.profile?.name ?? entry.name ?? 'Unknown', - author: entry.profile?.author, - temperature: entry.profile?.temperature, - final_weight: entry.profile?.final_weight, - stages: entry.profile?.stages?.map(s => ({ name: s.name, type: s.type, key: s.key })), - }, - start_time: new Date(entry.time * 1000).toISOString(), - elapsed_time: lastPt ? (lastPt.time ?? lastPt.profile_time ?? 0) / 1000 : 0, - final_weight: lastPt?.shot?.weight ?? entry.profile?.final_weight ?? null, - data: { time: timeArr, pressure: pressureArr, flow: flowArr, weight: weightArr, gravimetric_flow: gravFlowArr, temperature: temperatureArr, status: statusArr }, - } - } - return jsonResponse(shotData) - })().catch(() => jsonResponse({ detail: 'Failed to load shot data' }, 500)) - } - - // GET/PATCH/DELETE /api/shots/{date}/{filename}/annotation → direct local annotation storage - const shotAnnotationMatch = pathname.match(/^\/api\/shots\/([^/]+)\/([^/]+)\/annotation$/) - if (shotAnnotationMatch && (method === 'GET' || method === 'PATCH' || method === 'PUT' || method === 'DELETE')) { - return (async () => { - const date = decodeURIComponent(shotAnnotationMatch[1]) - const filename = decodeURIComponent(shotAnnotationMatch[2]) - if (method === 'GET') return jsonResponse(await getDirectShotAnnotation(date, filename)) - if (method === 'DELETE') return jsonResponse(await deleteDirectShotAnnotation(date, filename)) - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.json() as { annotation?: string; rating?: number | null } - return jsonResponse(await saveDirectShotAnnotation(date, filename, body)) - })().catch((err) => { - const status = err instanceof DirectStorageValidationError ? 422 : 500 - return jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to update annotation' }, status) - }) - } - - // GET /api/shots/annotations → IndexedDB-backed direct annotation summaries - if (url.match(/\/api\/shots\/annotations/)) { - return getDirectAnnotationSummaries() - .then((summaries) => jsonResponse(summaries)) - .catch((err) => { - console.error('[DirectMode] Failed to load annotations:', err) - return jsonResponse({ error: 'Failed to load annotations' }, 500) - }) - } - - // GET /api/shots/llm-analysis-cache → no cache in direct mode - if (url.match(/\/api\/shots\/llm-analysis-cache/)) { - return Promise.resolve(jsonResponse({ cached: false })) - } - - // GET /api/shots/dates → derive from history - if (url.match(/\/api\/shots\/dates/) && method === 'GET') { - return (async () => { - const history = await _loadVisibleHistory() - const dates = [...new Set(history.map(getHistoryEntryDate))] - dates.sort((a, b) => b.localeCompare(a)) - return jsonResponse({ dates }) - })().catch(() => jsonResponse({ dates: [] })) - } - - // POST /api/shots/analyze → compute structured LocalAnalysisResult from shot telemetry - if (url.match(/\/api\/shots\/analyze$/) && method === 'POST') { - return (async () => { - try { - const body = init?.body as FormData - const shotDate = (body.get('shot_date') as string) || '' - const shotFilename = (body.get('shot_filename') as string) || '' - const profileName = (body.get('profile_name') as string) || 'Unknown' - - const entry = await _findVisibleShot(shotDate, shotFilename) as HistEntry | null - if (!entry) return jsonResponse({ status: 'error', message: 'Shot not found' }) - - const analysis = computeRichLocalAnalysis(entry, profileName) - return jsonResponse({ status: 'success', analysis }) - } catch (err) { - const msg = err instanceof Error ? err.message : 'Analysis failed' - return jsonResponse({ status: 'error', message: msg }) - } - })() - } - - // POST /api/shots/analyze-llm → full LLM analysis with actual shot data - if (url.match(/\/api\/shots\/analyze-llm/) && method === 'POST') { - return (async () => { - try { - const aiService = createBrowserAIService() - if (!aiService.isConfigured()) { - return jsonResponse({ status: 'error', message: aiNotConfiguredMessage() }) - } - const body = init?.body as FormData - const pName = (body.get('profile_name') as string) || 'Unknown' - const shotDate = (body.get('shot_date') as string) || '' - const shotFilename = (body.get('shot_filename') as string) || '' - const profileDescription = (body.get('profile_description') as string) || undefined - - // 1. Fetch the actual shot data - const entry = await _findVisibleShot(shotDate, shotFilename) as { - profile?: { name?: string; final_weight?: number; temperature?: number; stages?: Array>; variables?: Array> } - data?: Array> - } | null - if (!entry) return jsonResponse({ status: 'error', message: 'Shot not found' }) - - // 2. Build the rich, server-shaped local analysis (parity with /analyze) for shot facts - const pts = entry.data ?? [] - if (!pts.length) return jsonResponse({ status: 'error', message: 'Shot has no telemetry data' }) - const richAnalysis = computeRichLocalAnalysis(entry as unknown as HistEntry, pName) - - // 3. Build profile context - const shotProfile = entry.profile - const profileStagesLlm = shotProfile?.stages ?? [] - const profileVars = shotProfile?.variables ?? [] - const cleanStages = profileStagesLlm.map(s => ({ - name: s.name, type: s.type, key: s.key, - dynamics_points: s.dynamics_points, - dynamics_over: s.dynamics_over, - exit_triggers: s.exit_triggers, - limits: s.limits, - })) - - // 4. Build the comprehensive prompt - const tasteX = body.get('taste_x') != null ? Number(body.get('taste_x')) : null - const tasteY = body.get('taste_y') != null ? Number(body.get('taste_y')) : null - const tasteDescriptors = String(body.get('taste_descriptors') ?? '') - .split(',').map(s => s.trim()).filter(Boolean) - const tasteContext = (tasteX != null && tasteY != null) - ? buildTasteContext(tasteX, tasteY, tasteDescriptors) - : '' - - const facts = buildShotFacts(richAnalysis as Parameters[0]) - const prompt = buildAnalyzeLlmPrompt({ - profileName: pName, - temperature: shotProfile?.temperature ?? null, - targetWeight: shotProfile?.final_weight ?? null, - profileDescription: profileDescription ?? '', - profileVars, - cleanStages, - facts, - tasteContext, - }) - - // 5. Call the AI provider for shot analysis (with retry on transient errors) - if (!isAIConfigured()) { - return jsonResponse({ status: 'error', message: aiNotConfiguredMessage() }) - } - const analyzeProvider = getProviderForMethod('analyzeShot') - const gen = async () => { - const r = await retryWithBackoff(() => analyzeProvider.generateText({ - contents: [{ role: 'user', parts: [{ text: prompt }] }], - })) as { text?: string } - return r.text ?? '' - } - let analysisText = await gen() - const ok = (txt: string) => - lintShotAnalysis(txt).valid && validateAgainstFacts(txt, facts).valid && checkStructure(txt).valid - if (!ok(analysisText)) { - const retry = await gen() - if (ok(retry)) analysisText = retry - } - if (!lintShotAnalysis(analysisText).valid) analysisText = repairShotAnalysis(analysisText) - return jsonResponse({ - status: 'success', - llm_analysis: analysisText, - cached: false, - }) - } catch (err) { - return jsonResponse({ status: 'error', message: formatGeminiError(err) }) - } - })() - } - - // POST /api/shots/analyze-recommendations → parse cached/direct analysis locally - if (url.match(/\/api\/shots\/analyze-recommendations/) && method === 'POST') { - return (async () => { - const request = input instanceof Request ? input : new Request(input, init) - const form = await request.formData() - const profileName = String(form.get('profile_name') ?? '') - const shotFilename = String(form.get('shot_filename') ?? '') - const analysisText = String(form.get('analysis') ?? '') || getCachedAnalysisText(profileName, shotFilename) - if (!analysisText) { - return jsonResponse({ - detail: { - status: 'no_analysis', - message: 'No cached analysis found. Run a full analysis first.', - }, - }, 404) - } - const profile = await _findProfileByName(profileName) - const variables = profile?.variables ?? [] - const recommendations = parseRecommendationsJson(analysisText).map((recommendation) => ({ - ...recommendation, - is_patchable: isRecommendationPatchable(recommendation, variables), - })) - return jsonResponse({ - status: 'success', - profile_name: profileName, - recommendations, - total: recommendations.length, - patchable_count: recommendations.filter((recommendation) => recommendation.is_patchable).length, - }) - })().catch((err) => jsonResponse({ detail: err instanceof Error ? err.message : 'Failed to extract recommendations' }, 500)) - } - - // GET /api/generate/progress → no SSE in direct mode (generation is synchronous via BrowserAIService) - if (url.match(/\/api\/generate\/progress/)) { - return Promise.resolve(jsonResponse({ error: 'No active generation' }, 404)) - } - - // POST /api/analyze_and_profile → client-side Gemini profile generation via BrowserAIService - if (url.match(/\/api\/analyze_and_profile$/) && method === 'POST') { - return (async () => { - try { - const aiService = createBrowserAIService() - if (!aiService.isConfigured()) { - return jsonResponse({ status: 'error', reply: aiNotConfiguredMessage(), analysis: '' }) - } - - const body = init?.body as FormData - const image = body.get('file') as File | null - const userPrefs = (body.get('user_prefs') as string) || '' - const advancedCustomization = (body.get('advanced_customization') as string) || '' - const detailedKnowledge = (body.get('detailed_knowledge') as string) || '' - - // Emit progress events so useGenerationProgress can display the segmented loading bar - const startTime = Date.now() - const emitProgress = (event: { phase: string; message: string }) => { - window.dispatchEvent(new CustomEvent('meticai:generation-progress', { - detail: { - ...event, - attempt: 1, - max_attempts: 3, - elapsed: (Date.now() - startTime) / 1000, - }, - })) - } - - const result = await aiService.generateProfile({ - image, - preferences: [userPrefs, advancedCustomization, detailedKnowledge].filter(Boolean).join('\n\n'), - tags: [], - }, emitProgress) - - // Save profile to machine (convert Gemini JSON to OEPF format) - if (result.status === 'success') { - const jsonMatch = result.reply.match(/```json\s*([\s\S]*?)```/) - if (jsonMatch) { - try { - const raw = JSON.parse(jsonMatch[1]) - const toOEPF = (p: Record) => { - const slugify = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, '_').replace(/_+$/, '') - const uuid = () => 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => { - const r = Math.random() * 16 | 0 - return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16) - }) - // Build variable lookup for resolving $refs in stages - const varLookup: Record = {} - if (Array.isArray(p.variables)) { - for (const v of p.variables as Array>) { - if (v.key && typeof v.value === 'number') varLookup[v.key as string] = v.value - if (v.name && typeof v.value === 'number') varLookup[v.name as string] = v.value - } - } else if (p.variables && typeof p.variables === 'object') { - for (const [k, v] of Object.entries(p.variables as Record)) { - const num = typeof v === 'number' ? v : typeof v === 'object' && v !== null ? (v as Record).value : undefined - if (typeof num === 'number') varLookup[k] = num - } - } - // Resolve $varname references to numeric values - const resolve = (val: unknown): unknown => { - if (typeof val === 'string' && val.startsWith('$')) { - const name = val.slice(1) - return varLookup[name] ?? 0 - } - return val - } - // Keep only OEPF-valid variables (array form with valid type) - // Info/information variables get converted to info_ prefixed keys with emoji names - const validTypes = ['power', 'flow', 'pressure', 'weight', 'time', 'piston_position'] - const infoTypeAliases = ['info', 'information', 'display', 'readonly', 'read_only'] - const emojiRegex = /^\p{Extended_Pictographic}/u - const infoEmojiMap: Record = { - dose: '☕', ratio: '📏', grind: '⚙️', roast: '🔥', bean: '🫘', - beans: '🫘', origin: '🌍', water: '💧', yield: '⚖️', output: '⚖️', - notes: '📝', method: '📋', recipe: '📋', default: 'ℹ️', - } - function ensureEmojiPrefix(name: string): string { - if (emojiRegex.test(name)) return name - const lower = name.toLowerCase() - for (const [keyword, emoji] of Object.entries(infoEmojiMap)) { - if (keyword !== 'default' && lower.includes(keyword)) return `${emoji} ${name}` - } - return `ℹ️ ${name}` - } - const vars: Array> = [] - if (Array.isArray(p.variables)) { - for (const v of (p.variables as Array>)) { - if (typeof v.value !== 'number') continue - const varType = String(v.type ?? '') - const varKey = String(v.key ?? v.name ?? '') - const varName = String(v.name ?? v.key ?? '') - if (validTypes.includes(varType)) { - // Valid OEPF adjustable variable — keep as-is - vars.push(v) - } else if (infoTypeAliases.includes(varType.toLowerCase()) || varKey.startsWith('info_')) { - // Information variable — convert to info_ key with emoji prefix - // Preserve original type if valid, otherwise default to 'power' - const preservedType = validTypes.includes(varType) ? varType : 'power' - const infoKey = varKey.startsWith('info_') ? varKey : `info_${slugify(varKey || varName)}` - if (!infoKey || infoKey === 'info_') continue // skip empty keys - vars.push({ - ...v, - key: infoKey, - name: ensureEmojiPrefix(varName), - type: preservedType, - }) - } - // Variables with unknown types that aren't info types are dropped - } - } - // Convert stages - const stages = Array.isArray(p.stages) ? (p.stages as Array>).map((s, i) => { - // dynamics: array of {time,value} → {points: [[t,v]], over, interpolation} - let dynamics = s.dynamics - if (Array.isArray(dynamics)) { - dynamics = { - points: (dynamics as Array>).map(pt => [ - Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 - ]), - over: 'time', interpolation: 'linear', - } - } else if (dynamics && typeof dynamics === 'object') { - const d = dynamics as Record - if (Array.isArray(d.points) && d.points.length > 0) { - if (Array.isArray(d.points[0])) { - d.points = (d.points as Array>).map(pt => [ - Number(resolve(pt[0])) || 0, Number(resolve(pt[1])) || 0 - ]) - } else if (typeof d.points[0] === 'object') { - d.points = (d.points as Array>).map(pt => [ - Number(resolve(pt.time)) || 0, Number(resolve(pt.value)) || 0 - ]) - } - } - if (!d.over) d.over = 'time' - if (!d.interpolation) d.interpolation = 'linear' - } - // Fix type: map Gemini names to valid OEPF types (power|flow|pressure) - const typeMap: Record = { flowRate: 'flow', flow_rate: 'flow', flowrate: 'flow' } - let type = typeMap[s.type as string] || (s.type as string) - if (!['power', 'flow', 'pressure'].includes(type)) type = 'pressure' - // Fix exit_triggers: comparator → comparison, resolve $refs, map types, ensure relative - const triggerTypes = ['weight', 'pressure', 'flow', 'time', 'piston_position', 'power', 'user_interaction'] - const mapTriggerType = (t: string) => { - if (triggerTypes.includes(t)) return t - if (/weight|dose|grams/i.test(t)) return 'weight' - if (/time|duration|elapsed/i.test(t)) return 'time' - if (/pressure/i.test(t)) return 'pressure' - if (/flow/i.test(t)) return 'flow' - return 'time' - } - const triggers = Array.isArray(s.exit_triggers) - ? (s.exit_triggers as Array>).map(t => ({ - type: mapTriggerType(String(t.type || 'time')), - value: Number(resolve(t.value)) || 0, - relative: t.relative ?? true, - comparison: t.comparison || t.comparator || '>=', - })) - : [] - // Fix limits: strip comparator, resolve $refs, map types (only pressure|flow valid) - const limits = Array.isArray(s.limits) - ? (s.limits as Array>).map(l => { - let lt = String(l.type || 'pressure') - if (lt !== 'pressure' && lt !== 'flow') { - lt = /flow/i.test(lt) ? 'flow' : 'pressure' - } - return { type: lt, value: Number(resolve(l.value)) || 0 } - }) - : [] - return { - name: s.name || `Stage ${i + 1}`, - key: s.key || slugify(String(s.name || `stage_${i + 1}`)), - type, dynamics, exit_triggers: triggers, limits, - } - }) : [] - return { - name: p.name || 'AI Generated Profile', - id: uuid(), - author: typeof p.author === 'string' ? p.author : 'MeticAI', - author_id: uuid(), - previous_authors: [], - display: { accentColor: '#6366f1' }, - temperature: p.temperature ?? 93, - final_weight: p.final_weight ?? 36, - variables: vars, - stages, - last_changed: Date.now() / 1000, - } - } - const oepf = toOEPF(raw) - const saveResponse = await _fetch('/api/v1/profile/save', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(oepf), - }) - // Cache the AI-generated description only if the profile saved successfully - if (saveResponse.ok && oepf.id && result.analysis) { - _descriptionCache.set(oepf.id, result.analysis) - _persistDescriptionCache() - } - // A new profile was added — drop the stale list cache so it - // appears immediately in the catalogue (and the post-create - // profile-id lookup can find it). - if (saveResponse.ok) { - _invalidateProfileListCache() - } - } catch (e) { - console.warn('[direct-mode] Failed to save profile to machine:', e) - } - } - } - - return jsonResponse({ - status: result.status, - // Only include analysis (shown as "Coffee Analysis" card) when an image was provided - analysis: image ? result.analysis : '', - reply: result.reply, - }) - } catch (err) { - const msg = formatGeminiError(err) - return jsonResponse({ status: 'error', reply: msg, analysis: '' }) - } - })() - } - - // /api/profiles/sync/status → no sync needed in direct mode - if (url.match(/\/api\/profiles\/sync\/status/)) { - return Promise.resolve(jsonResponse({ new_count: 0, updated_count: 0, orphaned_count: 0 })) - } - - // POST /api/profiles/sync → no-op in direct mode - if (url.match(/\/api\/profiles\/sync/) && method === 'POST') { - return Promise.resolve(jsonResponse({ status: 'success', new: [], updated: [], orphaned: [] })) - } - - // GET /api/recipes → bundled pour-over recipes (sorted alphabetically by name) - if (url.match(/\/api\/recipes$/)) { - return Promise.resolve(jsonResponse(POUR_OVER_RECIPES)) - } - - // GET /api/pour-over/preferences → stored preferences - if (url.match(/\/api\/pour-over\/preferences$/) && method === 'GET') { - return getDirectPourOverPreferences() - .then((prefs) => jsonResponse(prefs)) - .catch((err) => { - const message = err instanceof DirectStorageValidationError - ? err.message - : 'Failed to load pour-over preferences' - console.error('[DirectMode] Failed to load pour-over preferences:', err) - return jsonResponse({ detail: message }, 500) - }) - } - - // PUT /api/pour-over/preferences → persist to direct settings storage - if (url.match(/\/api\/pour-over\/preferences$/) && method === 'PUT') { - return (async () => { - try { - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.text() - const prefs = JSON.parse(body) - const saved = await saveDirectPourOverPreferences(prefs) - return jsonResponse(saved) - } catch (err) { - if (err instanceof DirectStorageValidationError || err instanceof SyntaxError) { - return jsonResponse({ detail: 'Invalid preferences' }, 400) - } - console.error('[DirectMode] Failed to save pour-over preferences:', err) - return jsonResponse({ detail: 'Failed to save preferences' }, 500) - } - })() - } - - // POST /api/pour-over/prepare → build adapted pour-over profile and load on machine - if (url.match(/\/api\/pour-over\/prepare$/) && method === 'POST') { - return (async () => { - try { - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.text() - const req = JSON.parse(body) - const profile = _adaptPourOverProfile({ - targetWeight: req.target_weight ?? 300, - bloomEnabled: req.bloom_enabled ?? true, - bloomSeconds: req.bloom_seconds ?? 30, - doseGrams: req.dose_grams ?? null, - brewRatio: req.brew_ratio ?? null, - }) - const loadResponse = await _fetch(`/api/v1/profile/load`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(profile) }) - if (!loadResponse.ok) return jsonResponse({ status: 'error', detail: 'Failed to load pour-over profile' }, 502) - return jsonResponse({ profile_id: profile.id, profile_name: profile.name }) - } catch (e) { - return jsonResponse({ status: 'error', detail: (e as Error).message }, 500) - } - })() - } - - // POST /api/pour-over/cleanup, force-cleanup → restore previous profile - if (url.match(/\/api\/pour-over\/(cleanup|force-cleanup)$/)) { - return (async () => { - try { - const previousProfileName = sessionStorage.getItem('meticai-previous-profile') - sessionStorage.removeItem('meticai-previous-profile') - if (previousProfileName) { - const profiles = await _loadProfilesFromMachine() - const match = profiles.find(p => p.name === previousProfileName) - if (match) { - await _fetch(`/api/v1/profile/load/${match.id}`) - } - } - } catch (e) { - console.warn('[DirectModeInterceptor] Failed to restore previous profile after pour-over cleanup:', e) - } - return jsonResponse({ status: 'ok' }) - })() - } - - // GET /api/pour-over/active → no active session tracking in direct mode - if (url.match(/\/api\/pour-over\/active$/)) { - return Promise.resolve(jsonResponse({ active: false })) - } - - // POST /api/pour-over/prepare-recipe → convert OPOS recipe to profile and load on machine - if (url.match(/\/api\/pour-over\/prepare-recipe$/) && method === 'POST') { - return (async () => { - try { - const request = input instanceof Request ? input : new Request(input, init) - const body = await request.text() - const { recipe_slug } = JSON.parse(body) - // Find recipe in our bundled list - const recipesResp = await window.fetch(url.replace(/\/pour-over\/prepare-recipe$/, '/recipes')) - const recipes = await recipesResp.json() - const recipe = recipes.find((r: { slug: string }) => r.slug === recipe_slug) - if (!recipe) return jsonResponse({ status: 'error', detail: `Recipe '${recipe_slug}' not found` }, 404) - const profile = _adaptRecipeToProfile(recipe) - const loadResponse = await _fetch(`/api/v1/profile/load`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(profile) }) - if (!loadResponse.ok) return jsonResponse({ status: 'error', detail: 'Failed to load recipe profile' }, 502) - return jsonResponse({ profile_id: profile.id, profile_name: profile.name }) - } catch (e) { - return jsonResponse({ status: 'error', detail: (e as Error).message }, 500) - } - })() - } - - // POST /api/profile/:id/regenerate-description → use BrowserAIService - const regenDescMatch = url.match(/\/api\/profile\/([^/]+)\/regenerate-description$/) - if (regenDescMatch && method === 'POST') { - return (async () => { - try { - const entryId = decodeURIComponent(regenDescMatch[1]) - let profileJson: Record | null = null - let profileName = entryId - - // Strategy 1: Try entryId as a history entry - try { - const history = await _loadVisibleHistory() - const histEntry = history.find(e => e.id === entryId) - if (histEntry) { - profileName = getHistoryProfileName(histEntry) - const cached = _profileCache.get(profileName) - if (cached) { - const r = await _fetch(`/api/v1/profile/get/${cached.id}`) - if (r.ok) profileJson = await r.json() - } - } - } catch { /* History lookup failed */ } - - // Strategy 2: Try entryId as a profile name via cache - if (!profileJson) { - const cached = _profileCache.get(entryId) - if (cached) { - const r = await _fetch(`/api/v1/profile/get/${cached.id}`) - if (r.ok) { profileJson = await r.json(); profileName = entryId } - } - } - - // Strategy 3: Try entryId as a machine profile ID directly - if (!profileJson) { - const r = await _fetch(`/api/v1/profile/get/${entryId}`) - if (r.ok) profileJson = await r.json() - } - - if (!profileJson) { - return jsonResponse({ status: 'error', detail: 'History entry not found' }, 404) - } - - // Try AI description first, fall back to static - const aiService = createBrowserAIService() - if (aiService.isConfigured()) { - try { - const resolvedName = (profileJson as {name?: string}).name || profileName || 'Unknown Profile' - const prompt = `You are a specialty coffee expert. Analyze this espresso machine profile JSON and write a detailed description.\n\nProfile name: ${resolvedName}\nProfile JSON:\n${JSON.stringify(profileJson, null, 2)}\n\nWrite the description in this exact format:\nProfile Created: [name]\nDescription: [1-2 sentence overview]\nPreparation: [brewing guidance]\nWhy This Works: [technical explanation]\nSpecial Notes: [any notable aspects]\n\nUse concrete numeric values with units (for example 9 bar, 2.0 ml/s, 30 s). Never output raw variable placeholders such as $name$ and never mention internal stage keys.${AI_TAGS_PROMPT}` - const response = await getProviderForMethod('generateProfile').generateText({ - contents: [{ role: 'user', parts: [{ text: prompt }] }], - }) as { text?: string } - const rawText = response.text?.trim() - if (rawText && !rawText.includes('generated without AI')) { - const aiTags = parseAiTags(rawText) - const profileVars = (profileJson as { variables?: ProfileVariable[] }).variables ?? [] - const description = resolveDescriptionPlaceholders(stripTagsLine(rawText), profileVars) - _descriptionCache.set(profileName, description) - _persistDescriptionCache() - if (aiTags.length) { - _aiTagsCache.set(profileName, aiTags) - _persistAiTagsCache() - // The profile list cache embeds ai_tags per profile, so it - // must be busted for regenerated tags to surface in the - // catalogue (parity with the server invalidate call). - _invalidateProfileListCache() - } - return jsonResponse({ status: 'success', description }) - } - } catch (err) { - // When the user has explicitly selected an on-device model that - // is not ready (not downloaded / unavailable), surface a clear - // error instead of silently emitting a static description with a - // misleading "generated successfully" toast. - if ( - err instanceof AIServiceError && - (err.code === 'LOCAL_MODEL_NOT_DOWNLOADED' || - err.code === 'LOCAL_UNAVAILABLE') - ) { - return jsonResponse({ status: 'error', message: formatGeminiError(err) }) - } - /* Other AI failures — fall back to static description below. */ - } - } - - // Static fallback - const { buildStaticProfileDescription } = await import('@/lib/staticProfileDescription') - const description = buildStaticProfileDescription(profileJson as Parameters[0]) - _descriptionCache.set(profileName, description) - _persistDescriptionCache() - return jsonResponse({ status: 'success', description }) - } catch { - return jsonResponse({ status: 'error', detail: 'Failed to regenerate description' }, 500) - } - })() - } - - // ── Settings & status endpoints ───────────────────────────────────── - - // GET/POST /api/settings → read/write from localStorage in direct mode - if (url.match(/\/api\/settings$/) && method === 'GET') { - return Promise.resolve(jsonResponse({ - geminiApiKey: localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY) || '', - geminiApiKeyConfigured: Boolean(localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY)?.trim()), - meticulousIp: getDefaultMachineUrl() || '', - authorName: localStorage.getItem(STORAGE_KEYS.AUTHOR_NAME) || '', - geminiModel: localStorage.getItem(STORAGE_KEYS.GEMINI_MODEL) || '', - mqttEnabled: true, - })) - } - if (url.match(/\/api\/settings$/) && method === 'POST') { - return (async () => { - try { - const request = input instanceof Request ? input : new Request(input, init) - const body = JSON.parse(await request.text()) - if (body.geminiApiKey !== undefined) localStorage.setItem(STORAGE_KEYS.GEMINI_API_KEY, body.geminiApiKey) - if (body.authorName !== undefined) localStorage.setItem(STORAGE_KEYS.AUTHOR_NAME, body.authorName) - if (body.geminiModel !== undefined) localStorage.setItem(STORAGE_KEYS.GEMINI_MODEL, body.geminiModel) - return jsonResponse({ status: 'ok' }) - } catch (e) { - return jsonResponse({ status: 'error', detail: (e as Error).message }, 500) - } - })() - } - - // GET /api/health → always healthy in direct mode - if (url.match(/\/api\/health$/)) { - return Promise.resolve(jsonResponse({ status: 'ok', mode: 'direct' })) - } - - // GET /api/available-models → live discovery in direct mode, static fallback offline - if (url.match(/\/api\/available-models$/)) { - return (async () => { - const provider = getProvider(getActiveHostedProviderId()) - const currentModel = getProviderModel(getActiveHostedProviderId()) - try { - if (provider.isConfigured()) { - const models = await provider.listModels() - if (models.length) return jsonResponse({ models, current: currentModel }) - } - } catch { - // fall through to static fallback - } - const { STATIC_FALLBACK_MODELS } = await import('../ai/modelResolver') - return jsonResponse({ models: STATIC_FALLBACK_MODELS, current: currentModel }) - })() - } - - // GET /api/version → return app version - if (url.match(/\/api\/version$/)) { - return Promise.resolve(jsonResponse({ - version: (globalThis as Record).__APP_VERSION__ || 'unknown', - mode: 'direct', - })) - } - - // GET /api/network-ip → return configured machine IP - if (url.match(/\/api\/network-ip$/)) { - const machineIp = localStorage.getItem(STORAGE_KEYS.MACHINE_URL) || '' - return Promise.resolve(jsonResponse({ ip: machineIp })) - } - - // GET /api/machine/detect → not needed in direct mode - if (url.match(/\/api\/machine\/detect/)) { - return Promise.resolve(jsonResponse({ detail: 'Machine detection not available in direct mode' }, 501)) - } - - // ── Backend-only admin routes — return sensible stubs ────────────── - - if (url.match(/\/api\/update-method/)) { - return Promise.resolve(jsonResponse({ method: 'manual', can_trigger_update: false })) - } - if (url.match(/\/api\/tailscale-status/)) { - return Promise.resolve(jsonResponse({ enabled: false, installed: false })) - } - if (url.match(/\/api\/changelog/)) { - return (async () => { - try { - const resp = await _originalFetch( - 'https://api.github.com/repos/hessius/MeticAI/releases?per_page=5', - { signal: AbortSignal.timeout(8000), headers: { Accept: 'application/vnd.github+json' } } - ) - if (resp.ok) { - const releases = await resp.json() - return jsonResponse({ - releases: releases.map((r: { tag_name: string; published_at: string; body: string }) => ({ - version: r.tag_name, - date: r.published_at, - body: r.body || 'No release notes available.', - })), - }) - } - return jsonResponse({ releases: [], error: 'Failed to fetch releases' }) - } catch { - return jsonResponse({ releases: [], error: 'Failed to fetch releases' }) - } - })() - } - if (url.match(/\/api\/(check-updates|restart|beta-channel|feedback)/)) { - return Promise.resolve(jsonResponse({ detail: 'Server administration not available in direct/app mode' }, 501)) - } - - // Unknown route — return 501 Not Implemented instead of silent empty response - return Promise.resolve(jsonResponse({ error: 'Not implemented in direct mode', path: pathname }, 501)) - } -} diff --git a/apps/web/src/services/interceptor/analyzeLlmPrompt.test.ts b/apps/web/src/services/interceptor/analyzeLlmPrompt.test.ts deleted file mode 100644 index 8f394ca5..00000000 --- a/apps/web/src/services/interceptor/analyzeLlmPrompt.test.ts +++ /dev/null @@ -1,77 +0,0 @@ -import { describe, it, expect } from 'vitest' -import { buildAnalyzeLlmPrompt } from './analyzeLlmPrompt' -import { computeRichLocalAnalysis } from './DirectModeInterceptor' -import { buildShotFacts } from '../../lib/shotFacts' -import type { ShotFacts } from '../../lib/shotFacts' - -const facts: ShotFacts = { - stages: [{ stage_name: 'Hold', reached: true, control_mode: 'pressure', trigger_type: 'weight', - trigger_class: { kind: 'targeted', label: 'Targeted (yield reached)', reason: '' }, - stall: { stalled: false, weight_gain: 30 }, - channeling: { channeling: false, pressure_drop: 0, flow_rise: 0 }, - curve_adherence: null }], - phases: [], weight: { actual: 36, target: 36, deviation_pct: 0 }, total_time_s: 28, -} - -describe('buildAnalyzeLlmPrompt', () => { - it('includes knowledge, fact sheet, few-shot', () => { - const p = buildAnalyzeLlmPrompt({ - profileName: 'Test', temperature: 93, targetWeight: 36, profileDescription: 'desc', - profileVars: [], cleanStages: [], facts, tasteContext: '', - }) - expect(p).toContain('EXIT TRIGGER CLASSIFICATION') - expect(p).toContain('Deterministic Shot Facts') - expect(p).toContain('Worked Example') - }) - it('includes taste section when compass taste provided', () => { - const p = buildAnalyzeLlmPrompt({ - profileName: 'Test', temperature: 93, targetWeight: 36, profileDescription: 'desc', - profileVars: [], cleanStages: [], facts, - tasteContext: '## Taste Goal\nUser wants less sour.', - }) - expect(p).toContain('Taste Goal') - }) - - it('includes expert profiling knowledge AND analysis framework (parity with server)', () => { - const p = buildAnalyzeLlmPrompt({ - profileName: 'Test', temperature: 93, targetWeight: 36, profileDescription: 'desc', - profileVars: [], cleanStages: [], facts, tasteContext: '', - }) - expect(p).toContain('ESPRESSO PROFILING GUIDE') - expect(p).toContain('EXIT TRIGGER CLASSIFICATION') - }) - - it('populates the fact sheet from a rich local analysis (guards the empty-facts bug)', () => { - // Realistic entry: a pressure-controlled stage with a weight exit trigger that fires. - const entry = { - id: 's1', time: Date.now(), name: 'Test Shot', - profile: { - name: 'Test Profile', final_weight: 36, temperature: 93, - stages: [ - { - name: 'Extraction', type: 'pressure', key: 'extraction', - dynamics: { points: [[0, 9]], over: 'time' }, - exit_triggers: [{ type: 'weight', value: 36, comparison: '>=' }], - limits: [], - }, - ], - variables: [], - }, - data: [ - { status: 'Extraction', time: 0, profile_time: 0, shot: { pressure: 8.5, flow: 2.0, weight: 0 } }, - { status: 'Extraction', time: 5000, profile_time: 5000, shot: { pressure: 9.0, flow: 2.1, weight: 12 } }, - { status: 'Extraction', time: 15000, profile_time: 15000, shot: { pressure: 9.0, flow: 2.0, weight: 30 } }, - { status: 'Extraction', time: 28000, profile_time: 28000, shot: { pressure: 9.0, flow: 1.8, weight: 36 } }, - ], - } - const richAnalysis = computeRichLocalAnalysis(entry, 'Test Profile') - const populatedFacts = buildShotFacts(richAnalysis as Parameters[0]) - const p = buildAnalyzeLlmPrompt({ - profileName: 'Test Profile', temperature: 93, targetWeight: 36, profileDescription: 'desc', - profileVars: [], cleanStages: [], facts: populatedFacts, tasteContext: '', - }) - // Fact sheet must reference the real stage and its targeted exit — not just an empty header. - expect(p).toContain('Extraction') - expect(p).toContain('Targeted') - }) -}) diff --git a/apps/web/src/services/interceptor/analyzeLlmPrompt.ts b/apps/web/src/services/interceptor/analyzeLlmPrompt.ts deleted file mode 100644 index 7e3c2e4e..00000000 --- a/apps/web/src/services/interceptor/analyzeLlmPrompt.ts +++ /dev/null @@ -1,141 +0,0 @@ -import { ANALYSIS_KNOWLEDGE, FEW_SHOT_ANALYSIS_EXAMPLE, buildFactSheet } from '../ai/analysisKnowledge' -import { PROFILING_KNOWLEDGE } from '../ai/profilePromptFull' -import type { ShotFacts } from '../../lib/shotFacts' - -export interface AnalyzeLlmPromptInput { - profileName: string - temperature: number | string | null - targetWeight: number | string | null - profileDescription: string - profileVars: unknown[] - cleanStages: unknown[] - facts: ShotFacts - tasteContext: string -} - -export function buildAnalyzeLlmPrompt(input: AnalyzeLlmPromptInput): string { - const { - profileName, temperature, targetWeight, profileDescription, - profileVars, cleanStages, facts, tasteContext, - } = input - return `You are an expert espresso barista and profiling specialist analyzing a shot from a Meticulous Espresso Machine. - -## Expert Knowledge -${PROFILING_KNOWLEDGE} - -## Analysis Framework -${ANALYSIS_KNOWLEDGE} - -## Profile Being Used -Name: ${profileName} -Temperature: ${temperature ?? 'Not set'}°C -Target Weight: ${targetWeight ?? 'Not set'}g - -### Profile Description -${profileDescription || 'No description provided - analyze the profile structure to understand intent.'} - -### Profile Variables -${JSON.stringify(profileVars, null, 2)} - -### Profile Stages -${JSON.stringify(cleanStages, null, 2)} - -## Shot Facts (digested — authoritative; trust over raw telemetry) -Each stage lists its exit classification. A Targeted exit means the stage reached its intended -outcome (e.g. its weight target); a Failsafe exit means a backstop fired before the real target. -A Targeted exit — including a short stage that hit its weight target — is NORMAL and CORRECT -behavior; never describe it as "early termination". The final weight reflects the settled weight -after the machine's piston retraction completes, so do NOT penalize weight deviation unless it -exceeds ±5%. - -${buildFactSheet(facts)} -${tasteContext ? `\n${tasteContext}\n` : ''} -${FEW_SHOT_ANALYSIS_EXAMPLE} - ---- - -Based on this data, provide a detailed expert analysis. - -CRITICAL FORMATTING RULES: -1. You MUST use EXACTLY these 5 section headers with the exact format shown (## followed by number, period, space, then title) -2. Each section MUST have the subsection headers shown (bold text with colon, like **What Happened:**) -3. ALL content under subsections MUST be bullet points starting with "- " -4. Keep bullet points concise (1-2 sentences max per bullet) -5. Do NOT add extra sections or subsections beyond what's specified - -## 1. Shot Performance - -**What Happened:** -- [Stage-by-stage description of the extraction] -- [Notable events: pressure spikes, flow restrictions, early/late stage exits] -- [Final weight accuracy relative to target] - -**Assessment:** [Choose exactly one: Good / Acceptable / Needs Improvement / Problematic] - -## 2. Root Cause Analysis - -**Primary Factors:** -- [Most likely cause with brief explanation] -- [Second most likely cause if applicable] - -**Secondary Considerations:** -- [Other contributing factors] -- [Environmental or equipment factors if relevant] - -## 3. Setup Recommendations - -**Priority Changes:** -- [Most important change - be specific with numbers when possible] -- [Second priority change] - -**Additional Suggestions:** -- [Other tweaks to consider] - -## 4. Profile Recommendations - -**Recommended Adjustments:** -- [Specific profile changes: timing, triggers, targets] -- [Variable value changes if applicable] - -**Reasoning:** -- [Why these changes would improve the shot] - -## 5. Profile Design Observations - -**Strengths:** -- [Well-designed aspects of this profile] - -**Potential Improvements:** -- [Exit trigger or safety limit suggestions] -- [Robustness improvements] - -Focus on actionable insights. Be specific with numbers where possible (e.g., "grind 1-2 steps finer" not just "grind finer"). - -## Structured Recommendations (MANDATORY) - -After your analysis sections, you MUST output a structured JSON block with specific, actionable profile variable recommendations. -Use EXACTLY this format — the markers are parsed programmatically: - -RECOMMENDATIONS_JSON: -[ - { - "variable": "", - "current_value": , - "recommended_value": , - "stage": "", - "confidence": "", - "reason": "" - } -] -END_RECOMMENDATIONS_JSON - -Rules for recommendations: -- Only include recommendations where you have a SPECIFIC numeric change to suggest -- The "variable" MUST be copied verbatim from the "key" field of an entry in the Profile Variables section above (for example "pressure_Max Pressure"). Do NOT invent positional names like "pressure_2" or "flow_0", and do NOT use the display name. -- Always include the variable's existing value as "current_value" so the change can be verified -- For top-level settings (temperature, final_weight), use stage="global" -- For stage-specific changes, use the stage name from Profile Stages -- confidence: "high" = strong evidence from data, "medium" = likely beneficial, "low" = worth trying -- If no recommendations apply, output an empty array: RECOMMENDATIONS_JSON:\n[]\nEND_RECOMMENDATIONS_JSON -` -} diff --git a/apps/web/src/services/interceptor/browserNativeRoutes.test.ts b/apps/web/src/services/interceptor/browserNativeRoutes.test.ts new file mode 100644 index 00000000..cda62d0b --- /dev/null +++ b/apps/web/src/services/interceptor/browserNativeRoutes.test.ts @@ -0,0 +1,181 @@ +import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import type { Platform } from "@metic/core"; + +const mockGenerateImage = vi.fn(); +const mockIsConfigured = vi.fn(() => true); +vi.mock("@/services/ai/BrowserAIService", () => ({ + createBrowserAIService: () => ({ + isConfigured: mockIsConfigured, + generateImage: mockGenerateImage, + }), +})); + +const mockSaveDirectProfileImage = vi.fn<(...args: unknown[]) => Promise>( + () => Promise.resolve(), +); +vi.mock("./directModeStorage", async () => { + const actual = await vi.importActual("./directModeStorage"); + return { + ...actual, + saveDirectProfileImage: (...args: unknown[]) => mockSaveDirectProfileImage(...args), + }; +}); + +import { handleBrowserNativeRoutes } from "./browserNativeRoutes"; + +// 8-byte PNG signature as a data URI (passes isSupportedImageBytes for image/png). +const PNG_DATA_URI = "data:image/png;base64,iVBORw0KGgo="; + +class FakeImage { + onload: (() => void) | null = null; + onerror: (() => void) | null = null; + width = 100; + height = 100; + set src(_v: string) { + setTimeout(() => this.onload?.(), 0); + } +} + +interface MockMachine { + fetch: ReturnType; +} + +function makePlatform(machineFetch: ReturnType): { platform: Platform; imagesWrite: ReturnType } { + const imagesWrite = vi.fn(async () => {}); + const platform = { + machine: { fetch: machineFetch } as MockMachine, + storage: { images: { write: imagesWrite } }, + } as unknown as Platform; + return { platform, imagesWrite }; +} + +describe("handleBrowserNativeRoutes", () => { + beforeEach(() => { + vi.clearAllMocks(); + mockIsConfigured.mockReturnValue(true); + // @ts-expect-error install a deterministic Image for compressImageForMachine + globalThis.Image = FakeImage; + sessionStorage.clear(); + }); + + afterEach(() => { + sessionStorage.clear(); + }); + + it("returns null for a route it does not own", async () => { + const { platform } = makePlatform(vi.fn()); + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/settings"), + platform, + ); + expect(res).toBeNull(); + }); + + it("applies an image to an existing profile", async () => { + const machineFetch = vi.fn(async (path: string) => { + if (path === "/api/v1/profile/list") { + return new Response(JSON.stringify([{ id: "p1", name: "Test" }]), { status: 200 }); + } + if (path === "/api/v1/profile/get/p1") { + return new Response(JSON.stringify({ id: "p1", name: "Test", display: {} }), { status: 200 }); + } + if (path === "/api/v1/profile/save") { + return new Response(JSON.stringify({ ok: true }), { status: 200 }); + } + return new Response("nope", { status: 404 }); + }); + const { platform, imagesWrite } = makePlatform(machineFetch); + + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/profile/Test/apply-image", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ image_data: PNG_DATA_URI }), + }), + platform, + ); + + expect(res).not.toBeNull(); + expect(res!.status).toBe(200); + const body = await res!.json(); + expect(body).toMatchObject({ status: "success", profile_id: "p1" }); + // Full-res bytes written to the image-proxy cache key core reads. + expect(imagesWrite).toHaveBeenCalledWith("image-proxy:Test", expect.any(Uint8Array)); + }); + + it("returns 404 when applying an image to a missing profile", async () => { + const machineFetch = vi.fn(async (path: string) => { + if (path === "/api/v1/profile/list") { + return new Response(JSON.stringify([]), { status: 200 }); + } + return new Response("nope", { status: 404 }); + }); + const { platform } = makePlatform(machineFetch); + + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/profile/Ghost/apply-image", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ image_data: PNG_DATA_URI }), + }), + platform, + ); + + expect(res!.status).toBe(404); + }); + + it("rejects apply-image with no image data", async () => { + const { platform } = makePlatform(vi.fn()); + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/profile/Test/apply-image", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({}), + }), + platform, + ); + expect(res!.status).toBe(400); + }); + + it("returns 503 for generate-image when AI is not configured", async () => { + mockIsConfigured.mockReturnValue(false); + const { platform } = makePlatform(vi.fn()); + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/profile/Test/generate-image", { method: "POST" }), + platform, + ); + expect(res!.status).toBe(503); + }); + + it("restores the previous profile on pour-over cleanup then returns ok", async () => { + sessionStorage.setItem("meticai-previous-profile", "Prev"); + const machineFetch = vi.fn(async (path: string) => { + if (path === "/api/v1/profile/list") { + return new Response(JSON.stringify([{ id: "prev1", name: "Prev" }]), { status: 200 }); + } + return new Response(JSON.stringify({ ok: true }), { status: 200 }); + }); + const { platform } = makePlatform(machineFetch); + + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/pour-over/cleanup", { method: "POST" }), + platform, + ); + + expect(res!.status).toBe(200); + expect(await res!.json()).toEqual({ status: "ok" }); + expect(machineFetch).toHaveBeenCalledWith("/api/v1/profile/load/prev1"); + expect(sessionStorage.getItem("meticai-previous-profile")).toBeNull(); + }); + + it("returns ok on pour-over cleanup with no previous profile", async () => { + const machineFetch = vi.fn(); + const { platform } = makePlatform(machineFetch); + const res = await handleBrowserNativeRoutes( + new Request("http://localhost/api/pour-over/force-cleanup", { method: "POST" }), + platform, + ); + expect(res!.status).toBe(200); + expect(machineFetch).not.toHaveBeenCalled(); + }); +}); diff --git a/apps/web/src/services/interceptor/browserNativeRoutes.ts b/apps/web/src/services/interceptor/browserNativeRoutes.ts new file mode 100644 index 00000000..6e2b3e5a --- /dev/null +++ b/apps/web/src/services/interceptor/browserNativeRoutes.ts @@ -0,0 +1,425 @@ +/** + * Browser-native route shim. + * + * A small set of MeticAI proxy routes cannot live in `@metic/core` because they + * depend on browser-only capabilities (a `` for image downscaling and + * `sessionStorage` for the pour-over "restore previous profile" nicety). The + * shared core handler owns every other route; this shim owns just these, and + * `coreInterceptor` runs it *before* core so the browser answers them. + * + * Machine I/O goes through `platform.machine.fetch` (the injected original + * fetch joined onto the machine base URL) and image bytes are written to + * `platform.storage.images` under the same `image-proxy:{name}` key that core's + * image-proxy route reads, so an uploaded/generated image is served back + * immediately at full resolution while a downscaled copy is persisted to the + * machine profile so it survives app reinstalls. + * + * Ported from the retired DirectModeInterceptor image + pour-over-cleanup + * handlers, preserving their exact request/response contracts. + */ + +import type { Platform } from "@metic/core"; +import { createBrowserAIService } from "@/services/ai/BrowserAIService"; +import { + DirectStorageValidationError, + saveDirectProfileImage, +} from "./directModeStorage"; +import { jsonResponse } from "./directModeHttp"; + +const DIRECT_PROFILE_IMAGE_MAX_BYTES = 10 * 1024 * 1024; + +class DirectImageValidationError extends Error { + constructor(message: string, public readonly status = 400) { + super(message); + this.name = "DirectImageValidationError"; + } +} + +interface ResolvedProfile { + id: string; + name: string; + display?: { image?: string; [key: string]: unknown }; + [key: string]: unknown; +} + +function isRecord(value: unknown): value is Record { + return typeof value === "object" && value !== null && !Array.isArray(value); +} + +function blobBytesToBase64(bytes: Uint8Array): string { + let binary = ""; + for (const byte of bytes) binary += String.fromCharCode(byte); + return btoa(binary); +} + +function isSupportedImageBytes(bytes: Uint8Array, mimeType: string): boolean { + const normalizedType = mimeType.toLowerCase(); + if (normalizedType === "image/png") { + return ( + bytes.length >= 8 && + bytes[0] === 0x89 && + bytes[1] === 0x50 && + bytes[2] === 0x4e && + bytes[3] === 0x47 && + bytes[4] === 0x0d && + bytes[5] === 0x0a && + bytes[6] === 0x1a && + bytes[7] === 0x0a + ); + } + if (normalizedType === "image/jpeg" || normalizedType === "image/jpg") { + return bytes.length >= 3 && bytes[0] === 0xff && bytes[1] === 0xd8 && bytes[2] === 0xff; + } + if (normalizedType === "image/gif") { + const header = String.fromCharCode(...bytes.slice(0, 6)); + return header === "GIF87a" || header === "GIF89a"; + } + if (normalizedType === "image/webp") { + return ( + bytes.length >= 12 && + String.fromCharCode(...bytes.slice(0, 4)) === "RIFF" && + String.fromCharCode(...bytes.slice(8, 12)) === "WEBP" + ); + } + return false; +} + +function validateImageBytes(bytes: Uint8Array, mimeType: string): void { + if (bytes.byteLength > DIRECT_PROFILE_IMAGE_MAX_BYTES) { + throw new DirectImageValidationError("Image too large. Maximum size is 10MB", 413); + } + if (!mimeType.startsWith("image/")) { + throw new DirectImageValidationError("File must be an image"); + } + if (!isSupportedImageBytes(bytes, mimeType)) { + throw new DirectImageValidationError("Invalid image data"); + } +} + +async function blobToDataUri(blob: Blob): Promise { + if (blob.size > DIRECT_PROFILE_IMAGE_MAX_BYTES) { + throw new DirectImageValidationError("Image too large. Maximum size is 10MB", 413); + } + const bytes = new Uint8Array(await blob.arrayBuffer()); + validateImageBytes(bytes, blob.type || "application/octet-stream"); + return `data:${blob.type || "application/octet-stream"};base64,${blobBytesToBase64(bytes)}`; +} + +function estimateBase64DecodedBytes(payload: string): number { + const normalizedPayload = payload.replace(/\s/g, ""); + const padding = normalizedPayload.endsWith("==") ? 2 : normalizedPayload.endsWith("=") ? 1 : 0; + return Math.floor(normalizedPayload.length / 4) * 3 - padding; +} + +function dataUriToBytes(dataUri: string): { mimeType: string; bytes: Uint8Array } { + const match = dataUri.match(/^data:([^;,]+)(;base64)?,(.*)$/); + if (!match) throw new DirectImageValidationError("Invalid image data - must be a data URI"); + const mimeType = match[1] || "application/octet-stream"; + const payload = match[3]!; + if (!mimeType.startsWith("image/")) { + throw new DirectImageValidationError("Invalid image data - must be a data URI"); + } + if (match[2] && estimateBase64DecodedBytes(payload) > DIRECT_PROFILE_IMAGE_MAX_BYTES) { + throw new DirectImageValidationError("Image too large. Maximum size is 10MB", 413); + } + let binary: string; + try { + binary = match[2] ? atob(payload) : decodeURIComponent(payload); + } catch (err) { + throw new DirectImageValidationError( + `Failed to decode image data: ${err instanceof Error ? err.message : String(err)}`, + ); + } + const bytes = new Uint8Array(binary.length); + for (let i = 0; i < binary.length; i += 1) bytes[i] = binary.charCodeAt(i); + validateImageBytes(bytes, mimeType); + return { mimeType, bytes }; +} + +function imageErrorStatus(err: unknown, defaultStatus = 500): number { + if (err instanceof DirectImageValidationError) return err.status; + if (err instanceof DirectStorageValidationError) return err.message.includes("not found") ? 404 : 400; + return defaultStatus; +} + +/** Compress an image data URI to a JPEG thumbnail no larger than maxSize px. */ +async function compressImageForMachine(dataUri: string, maxSize: number): Promise { + const img = new Image(); + await new Promise((resolve, reject) => { + const timeout = setTimeout(() => reject(new Error("Image load timeout")), 3000); + img.onload = () => { + clearTimeout(timeout); + resolve(); + }; + img.onerror = () => { + clearTimeout(timeout); + reject(new Error("Image load error")); + }; + img.src = dataUri; + }); + const scale = Math.min(1, maxSize / Math.max(img.width, img.height)); + const w = Math.round(img.width * scale); + const h = Math.round(img.height * scale); + const canvas = document.createElement("canvas"); + canvas.width = w; + canvas.height = h; + const ctx = canvas.getContext("2d")!; + ctx.drawImage(img, 0, 0, w, h); + return canvas.toDataURL("image/jpeg", 0.7); +} + +function normalizeProfileIdent(value: unknown): ResolvedProfile | null { + if (!isRecord(value)) return null; + const nested = isRecord(value.profile) ? value.profile : value; + const id = nested.id; + const name = nested.name; + if (typeof id !== "string" || typeof name !== "string") return null; + return { ...nested, id, name } as ResolvedProfile; +} + +async function findProfileByName(platform: Platform, name: string): Promise { + const res = await platform.machine.fetch("/api/v1/profile/list"); + if (!res.ok) return null; + const raw: unknown = await res.json(); + const list = Array.isArray(raw) ? raw : isRecord(raw) && Array.isArray(raw.profiles) ? raw.profiles : []; + for (const entry of list) { + const normalized = normalizeProfileIdent(entry); + if (normalized?.name === name) return normalized; + } + return null; +} + +function stripMachineMetadata(profile: ResolvedProfile): Record { + const machineProfile: Record = { ...profile }; + delete machineProfile.change_id; + delete machineProfile.in_history; + delete machineProfile.has_description; + return machineProfile; +} + +/** + * Persist an image data URI for a profile: write full-resolution bytes to the + * image-proxy cache (read by core's image-proxy route) plus a legacy full-res + * IndexedDB copy, and save a downscaled thumbnail to the machine profile so it + * survives reinstalls. Returns the resolved profile id. + */ +async function saveProfileImageData( + platform: Platform, + profileName: string, + imageDataUri: string, +): Promise<{ id: string; imageSize: number }> { + if (!imageDataUri.startsWith("data:image/")) { + throw new DirectStorageValidationError("Invalid image data - must be a data URI"); + } + const profile = await findProfileByName(platform, profileName); + if (!profile) { + throw new DirectStorageValidationError(`Profile '${profileName}' not found on machine`); + } + + // Fetch the full profile (with stages/display) so the save keeps everything. + let fullProfile = profile; + try { + const fullResp = await platform.machine.fetch(`/api/v1/profile/get/${profile.id}`); + if (fullResp.ok) { + const parsed = normalizeProfileIdent(await fullResp.json()); + if (parsed) fullProfile = parsed; + } + } catch { + /* use the list entry */ + } + + const { bytes } = dataUriToBytes(imageDataUri); + + // Full-resolution copies: the image-proxy cache key core reads, plus the + // legacy profile-id keyed store. + await platform.storage.images.write(`image-proxy:${profileName}`, bytes); + try { + await saveDirectProfileImage(profile.id, new Blob([bytes as unknown as BlobPart])); + } catch { + /* legacy store is best-effort */ + } + + // Downscaled thumbnail persisted to the machine profile. + const updated = stripMachineMetadata(fullProfile); + try { + const thumbnailUri = await compressImageForMachine(imageDataUri, 300); + updated.display = { + ...(isRecord(updated.display) ? updated.display : {}), + image: thumbnailUri, + }; + } catch { + updated.display = isRecord(fullProfile.display) ? { ...fullProfile.display } : {}; + } + try { + const saveResponse = await platform.machine.fetch("/api/v1/profile/save", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(updated), + }); + if (!saveResponse.ok) { + console.warn("[browser-native] Machine profile save returned", saveResponse.status); + } + } catch (e) { + console.warn("[browser-native] Failed to save profile image to machine:", e); + } + + return { id: profile.id, imageSize: imageDataUri.length }; +} + +const IMAGE_UPLOAD_RE = /^\/api\/profile\/([^/]+)\/image$/; +const IMAGE_GENERATE_RE = /^\/api\/profile\/([^/]+)\/generate-image$/; +const IMAGE_APPLY_RE = /^\/api\/profile\/([^/]+)\/apply-image$/; + +/** + * Dispatch the browser-only routes. Returns a Response when this shim owns the + * request, or `null` so `coreInterceptor` can hand it to the shared core + * handler. + */ +export async function handleBrowserNativeRoutes( + req: Request, + platform: Platform, +): Promise { + const url = new URL(req.url); + const { pathname } = url; + const method = req.method; + + // POST /api/profile/{name}/image -> upload a direct image and persist it. + const uploadMatch = pathname.match(IMAGE_UPLOAD_RE); + if (uploadMatch && method === "POST") { + try { + const name = decodeURIComponent(uploadMatch[1]!); + const form = await req.formData(); + const file = form.get("file"); + if (!(file instanceof Blob) || !file.type.startsWith("image/")) { + return jsonResponse({ detail: "File must be an image" }, 400); + } + const imageDataUri = await blobToDataUri(file); + const { id, imageSize } = await saveProfileImageData(platform, name, imageDataUri); + return jsonResponse({ + status: "success", + message: `Image uploaded for profile '${name}'`, + profile_id: id, + image_size: imageSize, + }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to upload profile image" }, + imageErrorStatus(err), + ); + } + } + + // POST /api/profile/{name}/generate-image -> AI image generation. + const generateMatch = pathname.match(IMAGE_GENERATE_RE); + if (generateMatch && method === "POST") { + try { + const name = decodeURIComponent(generateMatch[1]!); + const style = url.searchParams.get("style") || "abstract"; + const tags = (url.searchParams.get("tags") || "") + .split(",") + .map((tag) => tag.trim()) + .filter(Boolean); + const preview = url.searchParams.get("preview") === "true"; + const count = Math.min(4, Math.max(1, parseInt(url.searchParams.get("count") || "1", 10) || 1)); + const aiService = createBrowserAIService(); + if (!aiService.isConfigured()) { + return jsonResponse( + { detail: "AI features are unavailable. Please configure a Gemini API key in Settings." }, + 503, + ); + } + + if (count > 1) { + const promises = Array.from({ length: count }, (_, i) => + aiService + .generateImage({ profileName: name, style, tags, preview: true }) + .then(async (blob) => { + const dataUri = await blobToDataUri(blob); + return { index: i, image: dataUri } as { index: number; image: string | null; error?: string }; + }) + .catch((err) => ({ + index: i, + image: null as string | null, + error: err instanceof Error ? err.message : "Generation failed", + })), + ); + const results = await Promise.all(promises); + return jsonResponse({ + status: "preview", + message: `Generated images for profile '${name}'`, + style, + images: results, + count, + }); + } + + const imageBlob = await aiService.generateImage({ profileName: name, style, tags, preview }); + const imageDataUri = await blobToDataUri(imageBlob); + if (preview) { + return jsonResponse({ + status: "preview", + message: `Preview image generated for profile '${name}'`, + style, + image_data: imageDataUri, + }); + } + const { id } = await saveProfileImageData(platform, name, imageDataUri); + return jsonResponse({ + status: "success", + message: `Image generated for profile '${name}'`, + profile_id: id, + style, + }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to generate profile image" }, + imageErrorStatus(err), + ); + } + } + + // POST /api/profile/{name}/apply-image -> persist a generated preview image. + const applyMatch = pathname.match(IMAGE_APPLY_RE); + if (applyMatch && method === "POST") { + try { + const name = decodeURIComponent(applyMatch[1]!); + const body = (await req.json()) as { image_data?: string }; + if (!body.image_data) { + return jsonResponse({ detail: "Invalid image data - must be a data URI" }, 400); + } + const { id } = await saveProfileImageData(platform, name, body.image_data); + return jsonResponse({ + status: "success", + message: `Image applied to profile '${name}'`, + profile_id: id, + }); + } catch (err) { + return jsonResponse( + { detail: err instanceof Error ? err.message : "Failed to apply profile image" }, + imageErrorStatus(err), + ); + } + } + + // POST /api/pour-over/cleanup, force-cleanup -> restore the previously-active + // profile (tracked in sessionStorage by PourOverView), then return ok. Core + // also owns these as a no-op; this shim runs first to add the browser restore. + if ( + (pathname === "/api/pour-over/cleanup" || pathname === "/api/pour-over/force-cleanup") && + method === "POST" + ) { + try { + const previousProfileName = sessionStorage.getItem("meticai-previous-profile"); + sessionStorage.removeItem("meticai-previous-profile"); + if (previousProfileName) { + const match = await findProfileByName(platform, previousProfileName); + if (match) await platform.machine.fetch(`/api/v1/profile/load/${match.id}`); + } + } catch (e) { + console.warn("[browser-native] Failed to restore previous profile after pour-over cleanup:", e); + } + return jsonResponse({ status: "ok" }); + } + + return null; +} diff --git a/apps/web/src/services/interceptor/coreInterceptor.test.ts b/apps/web/src/services/interceptor/coreInterceptor.test.ts index df7cfc37..cac1962f 100644 --- a/apps/web/src/services/interceptor/coreInterceptor.test.ts +++ b/apps/web/src/services/interceptor/coreInterceptor.test.ts @@ -5,6 +5,11 @@ vi.mock("@metic/core", () => ({ tryHandle: (...args: unknown[]) => mockTryHandle(...args), })); +const mockNative = vi.fn(); +vi.mock("./browserNativeRoutes", () => ({ + handleBrowserNativeRoutes: (...args: unknown[]) => mockNative(...args), +})); + vi.mock("@/services/platform/browserPlatform", () => ({ createBrowserPlatform: vi.fn(() => ({ mock: "platform" })), })); @@ -13,19 +18,15 @@ import { installCoreInterceptor } from "./coreInterceptor"; import { createBrowserPlatform } from "@/services/platform/browserPlatform"; describe("installCoreInterceptor", () => { - let fallback: ReturnType; let original: ReturnType; let realFetch: typeof window.fetch; beforeEach(() => { vi.clearAllMocks(); realFetch = window.fetch; - fallback = vi.fn(async () => new Response("fallback", { status: 200 })); original = vi.fn(async () => new Response("machine", { status: 200 })); - installCoreInterceptor({ - originalFetch: original as unknown as typeof fetch, - fallbackFetch: fallback as unknown as typeof fetch, - }); + mockNative.mockResolvedValue(null); + installCoreInterceptor({ originalFetch: original as unknown as typeof fetch }); }); afterEach(() => { @@ -36,52 +37,57 @@ describe("installCoreInterceptor", () => { expect(createBrowserPlatform).toHaveBeenCalledWith({ fetchImpl: original }); }); + it("returns the browser-native response when the shim owns the route", async () => { + mockNative.mockResolvedValueOnce(new Response("native", { status: 200 })); + const res = await window.fetch("/api/profile/x/generate-image", { method: "POST" }); + expect(await res.text()).toBe("native"); + expect(mockTryHandle).not.toHaveBeenCalled(); + }); + it("returns the core response when core owns the route", async () => { mockTryHandle.mockResolvedValueOnce(new Response("core", { status: 201 })); const res = await window.fetch("/api/settings"); expect(res.status).toBe(201); expect(await res.text()).toBe("core"); - expect(fallback).not.toHaveBeenCalled(); }); - it("falls back to the legacy interceptor when core does not own the route", async () => { + it("returns a 404 when neither the shim nor core owns the route", async () => { mockTryHandle.mockResolvedValueOnce(null); - const res = await window.fetch("/api/unknown-legacy-route"); - expect(await res.text()).toBe("fallback"); - expect(mockTryHandle).toHaveBeenCalledTimes(1); - expect(fallback).toHaveBeenCalledTimes(1); + const res = await window.fetch("/api/unknown-route"); + expect(res.status).toBe(404); + expect(await res.json()).toMatchObject({ detail: expect.stringContaining("No route") }); }); - it("falls back when the core handler throws", async () => { + it("returns a 500 when a handler throws", async () => { mockTryHandle.mockRejectedValueOnce(new Error("boom")); const errSpy = vi.spyOn(console, "error").mockImplementation(() => {}); const res = await window.fetch("/api/settings"); - expect(await res.text()).toBe("fallback"); - expect(fallback).toHaveBeenCalledTimes(1); + expect(res.status).toBe(500); errSpy.mockRestore(); }); - it("bypasses core for machine-native /api/v1 URLs", async () => { + it("bypasses core for machine-native /api/v1 URLs (uses original fetch)", async () => { const res = await window.fetch("/api/v1/profile/list"); - expect(await res.text()).toBe("fallback"); + expect(await res.text()).toBe("machine"); expect(mockTryHandle).not.toHaveBeenCalled(); - expect(fallback).toHaveBeenCalledTimes(1); + expect(mockNative).not.toHaveBeenCalled(); + expect(original).toHaveBeenCalledTimes(1); }); - it("bypasses core for non-API URLs", async () => { + it("bypasses core for non-API URLs (uses original fetch)", async () => { const res = await window.fetch("https://example.com/thing"); - expect(await res.text()).toBe("fallback"); + expect(await res.text()).toBe("machine"); expect(mockTryHandle).not.toHaveBeenCalled(); }); - it("preserves a POST body for the fallback after core declines", async () => { - mockTryHandle.mockResolvedValueOnce(null); + it("preserves a POST body for the core handler", async () => { + mockTryHandle.mockResolvedValueOnce(new Response("core", { status: 200 })); await window.fetch("/api/settings", { method: "POST", body: JSON.stringify({ a: 1 }), headers: { "content-type": "application/json" }, }); - const passed = fallback.mock.calls[0][0] as Request; + const passed = mockTryHandle.mock.calls[0][0] as Request; expect(passed).toBeInstanceOf(Request); expect(passed.method).toBe("POST"); expect(await passed.json()).toEqual({ a: 1 }); diff --git a/apps/web/src/services/interceptor/coreInterceptor.ts b/apps/web/src/services/interceptor/coreInterceptor.ts index 1be8bb1f..5ae4621d 100644 --- a/apps/web/src/services/interceptor/coreInterceptor.ts +++ b/apps/web/src/services/interceptor/coreInterceptor.ts @@ -1,20 +1,15 @@ -import { tryHandle } from "@metic/core"; +import { tryHandle, type Platform } from "@metic/core"; import { createBrowserPlatform } from "@/services/platform/browserPlatform"; -import { getDirectRequestContext, isMeticAIProxyApiPath } from "./directModeHttp"; +import { getDirectRequestContext, isMeticAIProxyApiPath, jsonResponse } from "./directModeHttp"; +import { handleBrowserNativeRoutes } from "./browserNativeRoutes"; export interface CoreInterceptorDeps { /** - * The original, unpatched `window.fetch`, captured before any interceptor was - * installed. Used by the browser Platform to reach the machine without - * re-entering this or the legacy interceptor. + * The original, unpatched `window.fetch`, captured before the interceptor was + * installed. Used by the browser Platform (and the machine-native passthrough) + * to reach the machine without re-entering this interceptor. */ originalFetch: typeof fetch; - /** - * The handler to delegate to when core does not recognise a route. In - * practice this is the already-installed `DirectModeInterceptor` fetch, so - * every route core has not yet taken over keeps working unchanged. - */ - fallbackFetch: typeof fetch; } function currentOrigin(): string { @@ -23,9 +18,9 @@ function currentOrigin(): string { /** * Normalise any fetch input into a single `Request` with an absolute URL and a - * buffered body, so it can be cloned for the core handler while remaining - * usable for the fallback path (constructing a `Request` from another `Request` - * would otherwise disturb the original's body). + * buffered body, so it can be cloned for the browser-native shim and the core + * handler (constructing a `Request` from another `Request` would otherwise + * disturb the original's body). */ function toCanonicalRequest(input: RequestInfo | URL, init?: RequestInit): Request { if (input instanceof Request && !init) return input; @@ -41,18 +36,17 @@ function toCanonicalRequest(input: RequestInfo | URL, init?: RequestInit): Reque } /** - * Layer the shared `@metic/core` handler on top of the existing direct-mode - * fetch. For MeticAI proxy API paths it asks core first; core answers the - * routes it owns and returns `null` for the rest, which delegates to - * `fallbackFetch` (the legacy `DirectModeInterceptor`). Non-proxy URLs and - * machine-native `/api/v1/...` calls bypass core entirely. + * Install the shared `@metic/core` handler as the direct-mode request path. * - * Install AFTER `installDirectModeInterceptor()` so `fallbackFetch` is the - * legacy interceptor. + * MeticAI proxy API routes (`/api/*`, excluding machine-native `/api/v1/*`) are + * served by, in order: the browser-native shim (canvas/sessionStorage-bound + * routes core cannot own) and then core's `tryHandle`. A route owned by neither + * returns a terminal 404, matching core's server-side `handle`. Machine-native + * and external URLs bypass core entirely and go to the original fetch. */ export function installCoreInterceptor(deps: CoreInterceptorDeps): void { - const { originalFetch, fallbackFetch } = deps; - const platform = createBrowserPlatform({ fetchImpl: originalFetch }); + const { originalFetch } = deps; + const platform: Platform = createBrowserPlatform({ fetchImpl: originalFetch }); window.fetch = function coreModeFetch( input: RequestInfo | URL, @@ -60,23 +54,27 @@ export function installCoreInterceptor(deps: CoreInterceptorDeps): void { ): Promise { const { url } = getDirectRequestContext(input, init); - // Only proxy-API routes are candidates for core; machine-native and - // external URLs go straight to the legacy path. + // Machine-native (`/api/v1/*`) and external URLs are not core's concern. if (!isMeticAIProxyApiPath(url)) { - return fallbackFetch(input, init); + return originalFetch(input, init); } return (async () => { const canonical = toCanonicalRequest(input, init); - let handled: Response | null; try { - handled = await tryHandle(canonical.clone(), platform); + const native = await handleBrowserNativeRoutes(canonical.clone(), platform); + if (native) return native; + const handled = await tryHandle(canonical.clone(), platform); + if (handled) return handled; } catch (err) { - console.error("[coreInterceptor] core handler threw; falling back", err); - handled = null; + console.error("[coreInterceptor] handler threw", err); + return jsonResponse( + { detail: err instanceof Error ? err.message : "Internal error" }, + 500, + ); } - if (handled) return handled; - return fallbackFetch(canonical); + const { pathname } = new URL(canonical.url); + return jsonResponse({ detail: `No route for ${canonical.method} ${pathname}` }, 404); })(); }; } diff --git a/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts b/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts deleted file mode 100644 index fa9c30c6..00000000 --- a/apps/web/src/services/interceptor/coreInterceptorFlag.test.ts +++ /dev/null @@ -1,41 +0,0 @@ -import { describe, it, expect, beforeEach, afterEach } from "vitest"; -import { isCoreInterceptorEnabled } from "./coreInterceptorFlag"; - -const STORAGE_KEY = "metic:experimental:core-interceptor"; - -describe("isCoreInterceptorEnabled", () => { - beforeEach(() => { - localStorage.clear(); - window.history.replaceState({}, "", "/"); - }); - - afterEach(() => { - localStorage.clear(); - window.history.replaceState({}, "", "/"); - }); - - it("is off by default", () => { - expect(isCoreInterceptorEnabled()).toBe(false); - }); - - it("is on when the localStorage flag is 'true'", () => { - localStorage.setItem(STORAGE_KEY, "true"); - expect(isCoreInterceptorEnabled()).toBe(true); - }); - - it("ignores non-'true' localStorage values", () => { - localStorage.setItem(STORAGE_KEY, "1"); - expect(isCoreInterceptorEnabled()).toBe(false); - }); - - it("is on via ?coreInterceptor=1 query", () => { - window.history.replaceState({}, "", "/?coreInterceptor=1"); - expect(isCoreInterceptorEnabled()).toBe(true); - }); - - it("query ?coreInterceptor=0 overrides an enabled localStorage flag", () => { - localStorage.setItem(STORAGE_KEY, "true"); - window.history.replaceState({}, "", "/?coreInterceptor=0"); - expect(isCoreInterceptorEnabled()).toBe(false); - }); -}); diff --git a/apps/web/src/services/interceptor/coreInterceptorFlag.ts b/apps/web/src/services/interceptor/coreInterceptorFlag.ts deleted file mode 100644 index a117ae15..00000000 --- a/apps/web/src/services/interceptor/coreInterceptorFlag.ts +++ /dev/null @@ -1,35 +0,0 @@ -/** - * Experimental flag: route direct/native-mode API calls through the shared - * `@metic/core` handler (via the browser `Platform`) instead of the bespoke - * `DirectModeInterceptor`. - * - * This is the incremental cutover switch for the 3.0.0 core migration. It is - * OFF by default so the shipping native path (`DirectModeInterceptor`) is - * unchanged; when enabled, core handles any route it recognises and everything - * else falls through to the legacy interceptor, so it is safe to flip on for - * on-device parity testing before `DirectModeInterceptor` is deleted. - * - * Enable at runtime from the browser console (persists across reloads): - * localStorage.setItem('metic:experimental:core-interceptor', 'true') - * or per-load via the URL query `?coreInterceptor=1`. - */ -const STORAGE_KEY = "metic:experimental:core-interceptor"; - -export function isCoreInterceptorEnabled(): boolean { - if (typeof window === "undefined") return false; - - try { - const params = new URLSearchParams(window.location.search); - const q = params.get("coreInterceptor"); - if (q === "1" || q === "true") return true; - if (q === "0" || q === "false") return false; - } catch { - /* ignore malformed URL */ - } - - try { - return window.localStorage.getItem(STORAGE_KEY) === "true"; - } catch { - return false; - } -} diff --git a/apps/web/src/services/platform/browserPlatform.ts b/apps/web/src/services/platform/browserPlatform.ts index f91b80f6..b1320535 100644 --- a/apps/web/src/services/platform/browserPlatform.ts +++ b/apps/web/src/services/platform/browserPlatform.ts @@ -4,7 +4,7 @@ * This is the direct-mode counterpart to the Bun server's Node platform * (`apps/bun-server/src/platform/node.ts`): it lets the SAME `@metic/core` * `handle(request, platform)` run entirely client-side, replacing the bespoke - * per-route logic in `DirectModeInterceptor`. + * per-route logic of the retired direct-mode fetch interceptor. * * Storage is IndexedDB-backed. To match the Node platform's verbatim JSON * semantics EXACTLY (its repos read/write documents unchanged), the keyed-map @@ -35,12 +35,17 @@ import type { AIConfig, BlobStore, Cache, + GenerationProgressEvent, Logger, Platform, PlatformAI, Repo, } from "@metic/core/platform"; +// Kept in sync with `DIRECT_MODE_PROGRESS_EVENT` in @/hooks/useGenerationProgress. +// Duplicated (not imported) so the platform layer doesn't pull in a React hook. +const GENERATION_PROGRESS_EVENT = "meticai:generation-progress"; + /** Namespace prefix for core-owned documents in the IndexedDB settings store. */ const CORE_KEY_PREFIX = "core:"; @@ -268,5 +273,38 @@ export function createBrowserPlatform(deps: BrowserPlatformDeps = {}): Platform deps.appVersion ?? ((globalThis as Record).__APP_VERSION__ as string | undefined) ?? "unknown", + reportProgress: browserReportProgress(clock), + }; +} + +/** + * Drive the segmented profile-generation progress bar. Core emits phase events + * during `analyze_and_profile`; here we translate them into the + * `meticai:generation-progress` CustomEvent that `useGenerationProgress` + * listens for in direct mode. `elapsed` is measured from the first `analyzing` + * event of each run. Never throws into the caller. + */ +function browserReportProgress(clock: () => number): (event: GenerationProgressEvent) => void { + let startTime = 0; + return (event) => { + try { + if (typeof window === "undefined") return; + if (event.phase === "analyzing" && startTime === 0) startTime = clock(); + const elapsed = startTime === 0 ? 0 : (clock() - startTime) / 1000; + if (event.phase === "complete" || event.phase === "failed") startTime = 0; + window.dispatchEvent( + new CustomEvent(GENERATION_PROGRESS_EVENT, { + detail: { + phase: event.phase, + message: event.message, + attempt: event.attempt ?? 1, + max_attempts: event.maxAttempts ?? 3, + elapsed, + }, + }), + ); + } catch { + /* progress reporting is best-effort */ + } }; } From 9d42b044797551975ee326bb48f3d61fd6ef7446 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:35:23 +0200 Subject: [PATCH 39/62] feat(server): SQLite storage backend + interceptor module map (#531, #528) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit #531 — add a bun:sqlite-backed Storage/Repo implementation for the Node/Bun platform, selected by STORAGE_BACKEND=sqlite behind the existing interface so no core route changes: - sqliteStorage.ts: one documents(collection,key,value) table backs directory, singleton and keyed-map repos; a blobs(key,data) table backs images. Upsert semantics; WAL. - sqliteMigration.ts: idempotent, reversible one-time boot migration importing an existing /data/*.json volume, renaming originals to *.bak, guarded by a .storage-migrated.json stamp. Operator rollback via 'metic-server storage-rollback' restores JSON and drops the DB. - node.ts: backend selection (json default | sqlite); aiCache stays in-memory. - README documents backends + rollback. - 11 new tests: SQLite passes the same Repo contract as flat JSON, plus migration import/idempotency/rollback. bun-server 34 tests green, tsc clean. #528 — the ~3,658-line DirectModeInterceptor monolith is gone (deleted in the core cutover); add interceptor/README.md documenting the module map (coreInterceptor, browserNativeRoutes, directModeHttp, directModeStorage) and that routing now lives in @metic/core. Satisfies the #528 definition of done. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/README.md | 49 ++++ apps/bun-server/src/main.ts | 19 +- apps/bun-server/src/platform/node.ts | 60 ++++- .../src/platform/sqliteMigration.ts | 179 +++++++++++++++ apps/bun-server/src/platform/sqliteStorage.ts | 157 +++++++++++++ apps/bun-server/test/sqlite-storage.test.ts | 216 ++++++++++++++++++ apps/web/src/services/interceptor/README.md | 33 +++ 7 files changed, 700 insertions(+), 13 deletions(-) create mode 100644 apps/bun-server/README.md create mode 100644 apps/bun-server/src/platform/sqliteMigration.ts create mode 100644 apps/bun-server/src/platform/sqliteStorage.ts create mode 100644 apps/bun-server/test/sqlite-storage.test.ts create mode 100644 apps/web/src/services/interceptor/README.md diff --git a/apps/bun-server/README.md b/apps/bun-server/README.md new file mode 100644 index 00000000..8e44e74b --- /dev/null +++ b/apps/bun-server/README.md @@ -0,0 +1,49 @@ +# @metic/server (Bun server) + +Single-binary Bun host for MeticAI 3.0.0. Serves the built frontend, proxies +`/api/v1/*` to the espresso machine, runs the shared `@metic/core` handler for +`/api/*`, and hosts the `/api/ws/live` telemetry hub. + +## Commands + +```sh +bun run src/main.ts serve # start the server (default) +bun run src/main.ts healthcheck # probe /health, exit 0/1 (container HEALTHCHECK) +bun run src/main.ts storage-rollback # reverse a SQLite migration (see below) +``` + +## Environment + +| Var | Purpose | +| --- | --- | +| `PORT` | HTTP port (default `3550`). | +| `METICULOUS_IP` | Machine host or `host:port`; base for the `/api/v1/*` proxy. | +| `GEMINI_API_KEY` / `GEMINI_MODEL` | AI provider config. | +| `DATA_DIR` | Persistence root (default `./data`). | +| `STORAGE_BACKEND` | `json` (default) or `sqlite` (see Persistence). | + +## Persistence backends (#531) + +Storage is reached only through the core `Storage`/`Repo` interface, so the +backend is swappable without touching any route. + +- **`json` (default)** — flat JSON files under `DATA_DIR`, 1:1 with the shapes + the 2.x Python server wrote. Zero migration for existing volumes. +- **`sqlite`** — a single `bun:sqlite` database at `DATA_DIR/metic.db`. On first + boot with `STORAGE_BACKEND=sqlite`, a one-time, idempotent migration imports + any existing JSON artifacts into SQLite and renames the originals to `*.bak` + (nothing is deleted). A stamp file `.storage-migrated.json` records the run and + guards against re-migration. + +### Rollback + +The SQLite migration is reversible. With the server stopped: + +```sh +DATA_DIR=/path/to/data bun run src/main.ts storage-rollback +``` + +This drops `metic.db` (and its `-wal`/`-shm` sidecars), restores every `*.bak` +original to its place, and removes the stamp — returning the volume to flat +JSON. Then start the server without `STORAGE_BACKEND=sqlite` (or with +`STORAGE_BACKEND=json`). diff --git a/apps/bun-server/src/main.ts b/apps/bun-server/src/main.ts index a874aff1..e7b3bcc5 100644 --- a/apps/bun-server/src/main.ts +++ b/apps/bun-server/src/main.ts @@ -8,6 +8,8 @@ */ import { createServer } from "./server.ts"; +import { rollbackSqliteMigration } from "./platform/sqliteMigration.ts"; +import { join } from "node:path"; async function healthcheck(): Promise { const port = Number(process.env.PORT ?? 3550); @@ -39,8 +41,23 @@ async function main(): Promise { process.exit(await healthcheck()); break; } + case "storage-rollback": { + // Reverse a SQLite boot migration: drop metic.db and restore the + // flat-JSON *.bak originals (issue #531). Idempotent. + const dataDir = process.env.DATA_DIR ?? join(process.cwd(), "data"); + const did = rollbackSqliteMigration(dataDir, (m) => console.log(m)); + console.log( + did + ? "storage rollback complete" + : "no SQLite migration to roll back (no stamp found)", + ); + process.exit(0); + break; + } default: { - console.error(`Unknown command: ${command}\nUsage: metic-server [serve|healthcheck]`); + console.error( + `Unknown command: ${command}\nUsage: metic-server [serve|healthcheck|storage-rollback]`, + ); process.exit(2); } } diff --git a/apps/bun-server/src/platform/node.ts b/apps/bun-server/src/platform/node.ts index 78ea8e42..c18961c6 100644 --- a/apps/bun-server/src/platform/node.ts +++ b/apps/bun-server/src/platform/node.ts @@ -19,6 +19,7 @@ import { } from "@metic/core/ai/modelResolver"; import type { Platform, + PlatformStorage, PlatformAI, Repo, Cache, @@ -27,6 +28,8 @@ import type { Logger, AIConfig, } from "@metic/core/platform"; +import { openSqliteStorage } from "./sqliteStorage.ts"; +import { migrateJsonToSqlite } from "./sqliteMigration.ts"; async function atomicWrite(path: string, data: string): Promise { await mkdir(dirname(path), { recursive: true }); @@ -274,6 +277,12 @@ export interface NodePlatformOptions { dataDir?: string; /** Machine base URL override. Defaults to http://$METICULOUS_IP:8080. */ machineBaseUrl?: string; + /** + * Persistence backend. Defaults to $STORAGE_BACKEND (`json` | `sqlite`), else + * `json` for zero-migration continuity with 2.x volumes. `sqlite` runs a + * one-time, idempotent, reversible boot migration of any existing JSON. + */ + storageBackend?: "json" | "sqlite"; } const MACHINE_PORT = 8080; @@ -305,6 +314,39 @@ function resolveAppVersion(): string { return "unknown"; } +/** Storage repos excluding the in-memory aiCache (which is backend-agnostic). */ +type DocumentStorage = Omit; + +function buildJsonStorage(dataDir: string): DocumentStorage { + return { + settings: fsSingletonRepo>(join(dataDir, "settings.json")), + history: fsSingletonRepo(join(dataDir, "profile_history.json")), + annotations: fsKeyedMapRepo(join(dataDir, "shot_annotations.json")), + dialInSessions: fsKeyedMapRepo(join(dataDir, "dialin_sessions.json")), + pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_preferences.json")), + schedules: fsRepo(join(dataDir, "schedules")), + descriptions: fsKeyedMapRepo(join(dataDir, "profile_descriptions.json")), + aiTags: fsKeyedMapRepo(join(dataDir, "profile_ai_tags.json")), + images: fsBlobStore(join(dataDir, "images")), + }; +} + +function buildSqliteStorage(dataDir: string, logger: Logger): DocumentStorage { + const handles = openSqliteStorage(dataDir); + migrateJsonToSqlite(dataDir, handles, (m) => logger.info(m)); + return { + settings: handles.singletonRepo>("settings"), + history: handles.singletonRepo("history"), + annotations: handles.documentRepo("annotations"), + dialInSessions: handles.documentRepo("dialInSessions"), + pourOverPrefs: handles.singletonRepo("pourOverPrefs"), + schedules: handles.documentRepo("schedules"), + descriptions: handles.documentRepo("descriptions"), + aiTags: handles.documentRepo("aiTags"), + images: handles.blobStore(), + }; +} + export function createNodePlatform(options: NodePlatformOptions = {}): Platform { const dataDir = options.dataDir ?? process.env.DATA_DIR ?? join(process.cwd(), "data"); @@ -312,9 +354,11 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform const logger = consoleLogger(); const machineBaseUrl = resolveMachineBaseUrl(options.machineBaseUrl); - const settings = fsSingletonRepo>( - join(dataDir, "settings.json"), - ); + const backend = + options.storageBackend ?? + (process.env.STORAGE_BACKEND?.trim().toLowerCase() === "sqlite" ? "sqlite" : "json"); + const documentStorage = + backend === "sqlite" ? buildSqliteStorage(dataDir, logger) : buildJsonStorage(dataDir); const getAIConfig = (): AIConfig => { // Env var takes precedence (container/12-factor); settings.json is the @@ -329,16 +373,8 @@ export function createNodePlatform(options: NodePlatformOptions = {}): Platform return { storage: { - settings, - history: fsSingletonRepo(join(dataDir, "profile_history.json")), - annotations: fsKeyedMapRepo(join(dataDir, "shot_annotations.json")), - dialInSessions: fsKeyedMapRepo(join(dataDir, "dialin_sessions.json")), - pourOverPrefs: fsSingletonRepo(join(dataDir, "pour_over_preferences.json")), - schedules: fsRepo(join(dataDir, "schedules")), - descriptions: fsKeyedMapRepo(join(dataDir, "profile_descriptions.json")), - aiTags: fsKeyedMapRepo(join(dataDir, "profile_ai_tags.json")), + ...documentStorage, aiCache: memoryCache(clock), - images: fsBlobStore(join(dataDir, "images")), }, secrets: { getAIConfig, diff --git a/apps/bun-server/src/platform/sqliteMigration.ts b/apps/bun-server/src/platform/sqliteMigration.ts new file mode 100644 index 00000000..48ced1ec --- /dev/null +++ b/apps/bun-server/src/platform/sqliteMigration.ts @@ -0,0 +1,179 @@ +/** + * One-time flat-JSON -> SQLite boot migration (issue #531). + * + * Idempotent (a stamp file guards re-runs) and reversible (`rollback...` restores + * the JSON and drops the DB). Imports an existing 2.x/3.0 `/data` volume into the + * SQLite database, then renames each imported original to `*.bak` so nothing is + * destroyed. Record shapes are preserved 1:1, so the `/api/*` contract is + * unchanged regardless of backend. + */ + +import { + existsSync, + readFileSync, + readdirSync, + renameSync, + writeFileSync, + rmSync, +} from "node:fs"; +import { join } from "node:path"; +import type { SqliteStorageHandles } from "./sqliteStorage.ts"; + +const STAMP_FILE = ".storage-migrated.json"; + +interface MigrationStamp { + backend: "sqlite"; + migratedAt: string; + backedUp: string[]; +} + +/** Singleton JSON files: the whole file is one document. */ +const SINGLETON_FILES: Array<{ file: string; collection: string }> = [ + { file: "settings.json", collection: "settings" }, + { file: "profile_history.json", collection: "history" }, + { file: "pour_over_preferences.json", collection: "pourOverPrefs" }, +]; + +/** Keyed-map JSON files: each top-level key is a document. */ +const KEYED_MAP_FILES: Array<{ file: string; collection: string }> = [ + { file: "shot_annotations.json", collection: "annotations" }, + { file: "dialin_sessions.json", collection: "dialInSessions" }, + { file: "profile_descriptions.json", collection: "descriptions" }, + { file: "profile_ai_tags.json", collection: "aiTags" }, +]; + +/** Directory-of-`${id}.json` collections. */ +const DIRECTORY_COLLECTIONS: Array<{ dir: string; collection: string }> = [ + { dir: "schedules", collection: "schedules" }, +]; + +const IMAGE_DIR = "images"; + +function stampPath(dataDir: string): string { + return join(dataDir, STAMP_FILE); +} + +/** Whether the SQLite backend has already adopted this data directory. */ +export function isMigrated(dataDir: string): boolean { + return existsSync(stampPath(dataDir)); +} + +function safeParse(text: string): unknown { + try { + return JSON.parse(text); + } catch { + return undefined; + } +} + +/** + * Import every known flat-JSON artifact under `dataDir` into `handles`, then + * back up each imported original to `*.bak`. No-op (returns false) if a stamp + * already exists. Returns true when a migration was performed. + */ +export function migrateJsonToSqlite( + dataDir: string, + handles: SqliteStorageHandles, + log: (message: string) => void = () => {}, +): boolean { + if (isMigrated(dataDir)) return false; + + const backedUp: string[] = []; + const backup = (relPath: string): void => { + const abs = join(dataDir, relPath); + if (existsSync(abs)) { + renameSync(abs, `${abs}.bak`); + backedUp.push(relPath); + } + }; + + const importAll = handles.db.transaction(() => { + for (const { file, collection } of SINGLETON_FILES) { + const abs = join(dataDir, file); + if (!existsSync(abs)) continue; + const value = safeParse(readFileSync(abs, "utf8")); + if (value !== undefined) { + void handles.singletonRepo(collection).write("", value); + } + } + + for (const { file, collection } of KEYED_MAP_FILES) { + const abs = join(dataDir, file); + if (!existsSync(abs)) continue; + const map = safeParse(readFileSync(abs, "utf8")); + if (map && typeof map === "object" && !Array.isArray(map)) { + const repo = handles.documentRepo(collection); + for (const [key, value] of Object.entries(map as Record)) { + void repo.write(key, value); + } + } + } + + for (const { dir, collection } of DIRECTORY_COLLECTIONS) { + const absDir = join(dataDir, dir); + if (!existsSync(absDir)) continue; + const repo = handles.documentRepo(collection); + for (const entry of readdirSync(absDir)) { + if (!entry.endsWith(".json")) continue; + const value = safeParse(readFileSync(join(absDir, entry), "utf8")); + if (value !== undefined) void repo.write(entry.slice(0, -".json".length), value); + } + } + + const absImageDir = join(dataDir, IMAGE_DIR); + if (existsSync(absImageDir)) { + const blobs = handles.blobStore(); + for (const entry of readdirSync(absImageDir)) { + const bytes = new Uint8Array(readFileSync(join(absImageDir, entry))); + void blobs.write(entry, bytes); + } + } + }); + + importAll(); + + // Import succeeded: back up originals so the volume is non-destructive. + for (const { file } of SINGLETON_FILES) backup(file); + for (const { file } of KEYED_MAP_FILES) backup(file); + for (const { dir } of DIRECTORY_COLLECTIONS) backup(dir); + backup(IMAGE_DIR); + + const stamp: MigrationStamp = { + backend: "sqlite", + migratedAt: new Date().toISOString(), + backedUp, + }; + writeFileSync(stampPath(dataDir), JSON.stringify(stamp, null, 2)); + log(`[storage] migrated ${backedUp.length} JSON artifact(s) to SQLite`); + return true; +} + +/** + * Reverse a SQLite migration: drop the database, restore every `*.bak` original, + * and remove the stamp. Safe to call whether or not a migration ran. + */ +export function rollbackSqliteMigration( + dataDir: string, + log: (message: string) => void = () => {}, +): boolean { + const stamp = stampPath(dataDir); + if (!existsSync(stamp)) return false; + + const parsed = safeParse(readFileSync(stamp, "utf8")) as MigrationStamp | undefined; + const backedUp = parsed?.backedUp ?? []; + + for (const dbFile of ["metic.db", "metic.db-wal", "metic.db-shm"]) { + const abs = join(dataDir, dbFile); + if (existsSync(abs)) rmSync(abs, { force: true }); + } + + for (const relPath of backedUp) { + const bak = join(dataDir, `${relPath}.bak`); + const orig = join(dataDir, relPath); + if (existsSync(bak)) renameSync(bak, orig); + } + + rmSync(stamp, { force: true }); + log(`[storage] rolled back SQLite migration; restored ${backedUp.length} artifact(s)`); + return true; +} diff --git a/apps/bun-server/src/platform/sqliteStorage.ts b/apps/bun-server/src/platform/sqliteStorage.ts new file mode 100644 index 00000000..b0ee44e2 --- /dev/null +++ b/apps/bun-server/src/platform/sqliteStorage.ts @@ -0,0 +1,157 @@ +/** + * SQLite-backed storage for the Node/Bun platform (issue #531). + * + * A single `bun:sqlite` database at `${dataDir}/metic.db` backs the same + * `Storage`/`Repo` interface the flat-JSON platform uses, so `@metic/core` and + * every `/api/*` route are unaffected by the choice of backend. Selected via + * `STORAGE_BACKEND=sqlite`; the default stays flat JSON for zero-migration + * continuity with 2.x volumes. + * + * All document collections (directory, singleton and keyed-map repos in the + * flat-JSON platform) share one `documents(collection, key, value)` table; + * images live in `blobs(key, data)`. A one-time, idempotent and reversible boot + * migration (see `migrateJsonToSqlite`) imports an existing `/data/*.json` + * volume, renaming the originals to `*.bak`. + */ + +import { Database } from "bun:sqlite"; +import { mkdirSync } from "node:fs"; +import { join } from "node:path"; +import type { Repo, BlobStore } from "@metic/core/platform"; + +/** Sentinel key for singleton repos (settings.json etc.): one row per collection. */ +const SINGLETON_KEY = ""; + +export interface SqliteStorageHandles { + db: Database; + documentRepo(collection: string): Repo; + singletonRepo(collection: string): Repo; + blobStore(): BlobStore; + close(): void; +} + +function initSchema(db: Database): void { + db.exec("PRAGMA journal_mode = WAL"); + db.exec("PRAGMA foreign_keys = ON"); + db.exec( + `CREATE TABLE IF NOT EXISTS documents ( + collection TEXT NOT NULL, + key TEXT NOT NULL, + value TEXT NOT NULL, + PRIMARY KEY (collection, key) + )`, + ); + db.exec( + `CREATE TABLE IF NOT EXISTS blobs ( + key TEXT PRIMARY KEY, + data BLOB NOT NULL + )`, + ); +} + +/** + * Open (creating if needed) the SQLite database under `dataDir` and return + * repo/blob factories bound to it. The caller owns `close()`. + */ +export function openSqliteStorage(dataDir: string): SqliteStorageHandles { + mkdirSync(dataDir, { recursive: true }); + const db = new Database(join(dataDir, "metic.db"), { create: true }); + initSchema(db); + + const readStmt = db.query<{ value: string }, [string, string]>( + "SELECT value FROM documents WHERE collection = ? AND key = ?", + ); + const listStmt = db.query<{ value: string }, [string]>( + "SELECT value FROM documents WHERE collection = ?", + ); + const upsertStmt = db.query( + `INSERT INTO documents (collection, key, value) VALUES (?, ?, ?) + ON CONFLICT(collection, key) DO UPDATE SET value = excluded.value`, + ); + const deleteStmt = db.query( + "DELETE FROM documents WHERE collection = ? AND key = ?", + ); + + function parse(value: string | undefined): T | null { + if (value == null) return null; + try { + return JSON.parse(value) as T; + } catch { + return null; + } + } + + function documentRepo(collection: string): Repo { + return { + async read(id) { + return parse(readStmt.get(collection, id)?.value); + }, + async list() { + const out: T[] = []; + for (const row of listStmt.all(collection)) { + const v = parse(row.value); + if (v != null) out.push(v); + } + return out; + }, + async write(id, value) { + upsertStmt.run(collection, id, JSON.stringify(value)); + }, + async delete(id) { + deleteStmt.run(collection, id); + }, + }; + } + + function singletonRepo(collection: string): Repo { + return { + async read() { + return parse(readStmt.get(collection, SINGLETON_KEY)?.value); + }, + async list() { + const v = parse(readStmt.get(collection, SINGLETON_KEY)?.value); + return v == null ? [] : [v]; + }, + async write(_id, value) { + upsertStmt.run(collection, SINGLETON_KEY, JSON.stringify(value)); + }, + async delete() { + deleteStmt.run(collection, SINGLETON_KEY); + }, + }; + } + + const blobReadStmt = db.query<{ data: Uint8Array }, [string]>( + "SELECT data FROM blobs WHERE key = ?", + ); + const blobUpsertStmt = db.query( + `INSERT INTO blobs (key, data) VALUES (?, ?) + ON CONFLICT(key) DO UPDATE SET data = excluded.data`, + ); + const blobDeleteStmt = db.query("DELETE FROM blobs WHERE key = ?"); + + function blobStore(): BlobStore { + return { + async read(key) { + const row = blobReadStmt.get(key); + if (!row) return null; + // bun:sqlite returns BLOB columns as Uint8Array. + return row.data instanceof Uint8Array ? row.data : new Uint8Array(row.data); + }, + async write(key, bytes) { + blobUpsertStmt.run(key, bytes); + }, + async delete(key) { + blobDeleteStmt.run(key); + }, + }; + } + + return { + db, + documentRepo, + singletonRepo, + blobStore, + close: () => db.close(), + }; +} diff --git a/apps/bun-server/test/sqlite-storage.test.ts b/apps/bun-server/test/sqlite-storage.test.ts new file mode 100644 index 00000000..93b55581 --- /dev/null +++ b/apps/bun-server/test/sqlite-storage.test.ts @@ -0,0 +1,216 @@ +import { describe, test, expect, afterEach } from "bun:test"; +import { mkdtemp, rm, readFile, writeFile, mkdir, readdir } from "node:fs/promises"; +import { existsSync } from "node:fs"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { createNodePlatform } from "../src/platform/node.ts"; +import { openSqliteStorage } from "../src/platform/sqliteStorage.ts"; +import { + migrateJsonToSqlite, + rollbackSqliteMigration, + isMigrated, +} from "../src/platform/sqliteMigration.ts"; + +const dirs: string[] = []; + +async function tempDir(): Promise { + const d = await mkdtemp(join(tmpdir(), "metic-sqlite-")); + dirs.push(d); + return d; +} + +afterEach(async () => { + while (dirs.length) { + const d = dirs.pop(); + if (d) await rm(d, { recursive: true, force: true }); + } +}); + +// The SQLite backend must satisfy the SAME Repo contract as the flat-JSON one +// (see node-platform.test.ts), so /api/* behavior is backend-independent. +describe("createNodePlatform storage (sqlite backend)", () => { + test("directory repo round-trips documents by id", async () => { + const platform = createNodePlatform({ + dataDir: await tempDir(), + storageBackend: "sqlite", + }); + const schedules = platform.storage.schedules; + + expect(await schedules.read("a")).toBeNull(); + expect(await schedules.list()).toEqual([]); + + await schedules.write("a", { hour: 7 }); + await schedules.write("b", { hour: 8 }); + + expect(await schedules.read("a")).toEqual({ hour: 7 }); + const all = (await schedules.list()) as { hour: number }[]; + expect(all.map((s) => s.hour).sort()).toEqual([7, 8]); + + await schedules.delete("a"); + expect(await schedules.read("a")).toBeNull(); + expect((await schedules.list()).length).toBe(1); + }); + + test("write is an upsert (updates in place)", async () => { + const platform = createNodePlatform({ + dataDir: await tempDir(), + storageBackend: "sqlite", + }); + await platform.storage.schedules.write("a", { hour: 7 }); + await platform.storage.schedules.write("a", { hour: 9 }); + expect(await platform.storage.schedules.read("a")).toEqual({ hour: 9 }); + expect((await platform.storage.schedules.list()).length).toBe(1); + }); + + test("singleton settings repo persists a single document, ignoring id", async () => { + const platform = createNodePlatform({ + dataDir: await tempDir(), + storageBackend: "sqlite", + }); + expect(await platform.storage.settings.read("settings")).toBeNull(); + + await platform.storage.settings.write("settings", { meticulousIp: "1.2.3.4" }); + expect(await platform.storage.settings.read("anything")).toEqual({ meticulousIp: "1.2.3.4" }); + expect(await platform.storage.settings.list()).toEqual([{ meticulousIp: "1.2.3.4" }]); + }); + + test("keyed-map annotations repo handles slash-containing ids", async () => { + const platform = createNodePlatform({ + dataDir: await tempDir(), + storageBackend: "sqlite", + }); + const annotations = platform.storage.annotations; + + await annotations.write("2024-01-15/a.json", { key: "2024-01-15/a.json", rating: 4 }); + await annotations.write("2024-01-15/b.json", { key: "2024-01-15/b.json", rating: 2 }); + + expect(await annotations.read("2024-01-15/a.json")).toEqual({ + key: "2024-01-15/a.json", + rating: 4, + }); + expect((await annotations.list()).length).toBe(2); + + await annotations.delete("2024-01-15/a.json"); + expect(await annotations.read("2024-01-15/a.json")).toBeNull(); + expect((await annotations.list()).length).toBe(1); + }); + + test("blob store round-trips bytes", async () => { + const platform = createNodePlatform({ + dataDir: await tempDir(), + storageBackend: "sqlite", + }); + const bytes = new Uint8Array([1, 2, 3, 4]); + expect(await platform.storage.images.read("img")).toBeNull(); + await platform.storage.images.write("img", bytes); + expect(Array.from((await platform.storage.images.read("img"))!)).toEqual([1, 2, 3, 4]); + await platform.storage.images.delete("img"); + expect(await platform.storage.images.read("img")).toBeNull(); + }); + + test("data persists across platform re-open (same dataDir)", async () => { + const dataDir = await tempDir(); + const first = createNodePlatform({ dataDir, storageBackend: "sqlite" }); + await first.storage.settings.write("settings", { theme: "dark" }); + await first.storage.annotations.write("2024/x.json", { rating: 5 }); + + const second = createNodePlatform({ dataDir, storageBackend: "sqlite" }); + expect(await second.storage.settings.read("s")).toEqual({ theme: "dark" }); + expect(await second.storage.annotations.read("2024/x.json")).toEqual({ rating: 5 }); + }); +}); + +async function seedJsonVolume(dataDir: string): Promise { + await writeFile(join(dataDir, "settings.json"), JSON.stringify({ meticulousIp: "10.0.0.9" })); + await writeFile(join(dataDir, "profile_history.json"), JSON.stringify({ entries: [1, 2, 3] })); + await writeFile( + join(dataDir, "shot_annotations.json"), + JSON.stringify({ "2024-01-15/a.json": { rating: 4 }, "2024-01-15/b.json": { rating: 2 } }), + ); + await writeFile( + join(dataDir, "profile_ai_tags.json"), + JSON.stringify({ Espresso: ["fruity", "bright"] }), + ); + await mkdir(join(dataDir, "schedules"), { recursive: true }); + await writeFile(join(dataDir, "schedules", "morning.json"), JSON.stringify({ hour: 7 })); + await mkdir(join(dataDir, "images"), { recursive: true }); + await writeFile(join(dataDir, "images", "Espresso"), Buffer.from([9, 8, 7])); +} + +describe("flat-JSON -> SQLite boot migration (#531)", () => { + test("imports an existing /data volume and backs up originals", async () => { + const dataDir = await tempDir(); + await seedJsonVolume(dataDir); + + const handles = openSqliteStorage(dataDir); + const migrated = migrateJsonToSqlite(dataDir, handles); + handles.close(); + + expect(migrated).toBe(true); + expect(isMigrated(dataDir)).toBe(true); + + // Originals renamed to *.bak (non-destructive). + expect(existsSync(join(dataDir, "settings.json"))).toBe(false); + expect(existsSync(join(dataDir, "settings.json.bak"))).toBe(true); + expect(existsSync(join(dataDir, "schedules.bak"))).toBe(true); + expect(existsSync(join(dataDir, "images.bak"))).toBe(true); + + // Data is readable through the SQLite-backed platform. + const platform = createNodePlatform({ dataDir, storageBackend: "sqlite" }); + expect(await platform.storage.settings.read("s")).toEqual({ meticulousIp: "10.0.0.9" }); + expect(await platform.storage.history.read("h")).toEqual({ entries: [1, 2, 3] }); + expect(await platform.storage.annotations.read("2024-01-15/a.json")).toEqual({ rating: 4 }); + expect(await platform.storage.aiTags.read("Espresso")).toEqual(["fruity", "bright"]); + expect(await platform.storage.schedules.read("morning")).toEqual({ hour: 7 }); + expect(Array.from((await platform.storage.images.read("Espresso"))!)).toEqual([9, 8, 7]); + }); + + test("is idempotent: a second run is a no-op", async () => { + const dataDir = await tempDir(); + await seedJsonVolume(dataDir); + + const h1 = openSqliteStorage(dataDir); + expect(migrateJsonToSqlite(dataDir, h1)).toBe(true); + h1.close(); + + const h2 = openSqliteStorage(dataDir); + expect(migrateJsonToSqlite(dataDir, h2)).toBe(false); + h2.close(); + }); + + test("rollback restores originals and drops the database", async () => { + const dataDir = await tempDir(); + await seedJsonVolume(dataDir); + + const handles = openSqliteStorage(dataDir); + migrateJsonToSqlite(dataDir, handles); + handles.close(); + + expect(rollbackSqliteMigration(dataDir)).toBe(true); + + // JSON originals restored, backups and DB gone, stamp removed. + expect(existsSync(join(dataDir, "settings.json"))).toBe(true); + expect(existsSync(join(dataDir, "settings.json.bak"))).toBe(false); + expect(existsSync(join(dataDir, "schedules", "morning.json"))).toBe(true); + expect(existsSync(join(dataDir, "metic.db"))).toBe(false); + expect(isMigrated(dataDir)).toBe(false); + + const restored = JSON.parse(await readFile(join(dataDir, "settings.json"), "utf8")); + expect(restored).toEqual({ meticulousIp: "10.0.0.9" }); + const imgs = await readdir(join(dataDir, "images")); + expect(imgs).toEqual(["Espresso"]); + }); + + test("rollback on an unmigrated dir is a no-op", async () => { + const dataDir = await tempDir(); + expect(rollbackSqliteMigration(dataDir)).toBe(false); + }); + + test("migrating an empty volume still stamps and reports no artifacts", async () => { + const dataDir = await tempDir(); + const handles = openSqliteStorage(dataDir); + expect(migrateJsonToSqlite(dataDir, handles)).toBe(true); + handles.close(); + expect(isMigrated(dataDir)).toBe(true); + }); +}); diff --git a/apps/web/src/services/interceptor/README.md b/apps/web/src/services/interceptor/README.md new file mode 100644 index 00000000..d7e82ad2 --- /dev/null +++ b/apps/web/src/services/interceptor/README.md @@ -0,0 +1,33 @@ +# Direct-mode request interceptor + +In native/Capacitor (and same-origin browser direct mode) there is no backend +server: the app talks to the espresso machine directly and serves its own +`/api/*` proxy routes client-side. This directory installs that behavior over +`window.fetch`. + +As of v3.0.0 the entire per-route request implementation lives in the shared +`@metic/core` handler (`packages/core`), the same code the Bun server runs. The +former ~3,658-line `DirectModeInterceptor.ts` monolith has been **deleted**; this +directory is now a thin host binding around core plus a small browser-only shim. + +## Module map + +| File | Responsibility | +| --- | --- | +| `coreInterceptor.ts` | Install site. Patches `window.fetch`: MeticAI proxy `/api/*` requests go to the browser-native shim first, then core's `tryHandle`, then a terminal 404. Machine-native `/api/v1/*` and external URLs bypass core to the original fetch. Builds the browser `Platform` once. | +| `browserNativeRoutes.ts` | The handful of routes core cannot own because they need browser-only capabilities: profile image upload / generate-image / apply-image (`` downscaling) and pour-over cleanup "restore previous profile" (`sessionStorage`). Runs before core. | +| `directModeHttp.ts` | Request classification helpers: `isMeticAIProxyApiPath`, `getDirectRequestContext`, `jsonResponse`. Decides which URLs the interceptor owns. | +| `directModeStorage.ts` | IndexedDB-backed helpers (settings, annotations, dial-in sessions, profile images) used by the browser `Platform` and the native shim. | + +Everything else — profiles CRUD, history, shots, analysis, recommendations, +dial-in, pour-over, recipes, machine commands, system/settings — is served by +`@metic/core` route modules through the browser `Platform` +(`apps/web/src/services/platform/browserPlatform.ts`). + +## Dual-runtime parity + +Because both the browser interceptor and the Bun server call the same +`@metic/core` `handle()` / `tryHandle()`, route behavior is shared by +construction. Add or change a route in `packages/core/src/routes/*` (with a +contract test), not here. Only add to this directory when a route genuinely +depends on a browser-only API (canvas, `sessionStorage`, the Camera plugin). From cf98e08948d1f63148ab06d2a77198fc2c29246d Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:39:26 +0200 Subject: [PATCH 40/62] feat(server): Tailscale routes over the LocalAPI unix socket (Phase 5, #532) Port the /api/tailscale-status and /api/tailscale/configure endpoints to the Bun host. Status is read via Bun's fetch({ unix }) against the shared /var/run/tailscale/tailscaled.sock LocalAPI (no subprocess/docker/curl, so it works in the distroless single binary); the response matches the frozen 2.x contract. Configure persists tailscaleEnabled/tailscaleAuthKey into settings (merged, masked values ignored) and reports restart_required on an enable toggle (the sidecar is controlled by compose profiles). Wired ahead of core in server.ts. Note on the rest of Phase 5: healthcheck already exists in main.ts; the one-shot data migration is handled by the #531 SQLite migration; recipe/pour-over-base seeding is obsolete (both are bundled into the binary), and scheduled shots deliberately return 501, so there is no scheduler to rehydrate. 12 new tests; bun-server 46 green, tsc clean. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/bun-server/src/server.ts | 5 + apps/bun-server/src/tailscale.ts | 227 +++++++++++++++++++++++++ apps/bun-server/test/tailscale.test.ts | 176 +++++++++++++++++++ 3 files changed, 408 insertions(+) create mode 100644 apps/bun-server/src/tailscale.ts create mode 100644 apps/bun-server/test/tailscale.test.ts diff --git a/apps/bun-server/src/server.ts b/apps/bun-server/src/server.ts index 38507d1e..7518f901 100644 --- a/apps/bun-server/src/server.ts +++ b/apps/bun-server/src/server.ts @@ -18,6 +18,7 @@ import { createNodePlatform } from "./platform/node.ts"; import { isMachinePath, proxyToMachine } from "./machineProxy.ts"; import { createStaticServer } from "./static.ts"; import { TelemetryHub, type TelemetryClient } from "./telemetryHub.ts"; +import { handleTailscaleRoutes } from "./tailscale.ts"; const LIVE_WS_PATH = "/api/ws/live"; @@ -69,6 +70,10 @@ export function createServer(options: CreateServerOptions = {}): Server } if (pathname.startsWith("/api/")) { + // Host-specific Tailscale routes (unix-socket LocalAPI + settings) are + // served here, not in the host-agnostic core. + const tailscale = await handleTailscaleRoutes(request, platform); + if (tailscale) return tailscale; return handle(request, platform); } diff --git a/apps/bun-server/src/tailscale.ts b/apps/bun-server/src/tailscale.ts new file mode 100644 index 00000000..48f795bf --- /dev/null +++ b/apps/bun-server/src/tailscale.ts @@ -0,0 +1,227 @@ +/** + * Tailscale remote-access routes for the Bun server host (Phase 5). + * + * These are host-specific (they read the tailscaled LocalAPI over a unix socket + * and persist user preferences), so they live in the server rather than in the + * host-agnostic `@metic/core`. The response shapes match the frozen 2.x + * `/api/tailscale-status` and `/api/tailscale/configure` contracts. + * + * Unlike the Python server, the distroless single binary has no `subprocess`, + * `docker` or `curl`: status is read purely via Bun's `fetch(..., { unix })` + * against the shared `/var/run/tailscale/tailscaled.sock` (mounted from the + * Tailscale sidecar). There is no `.env`/compose rewriting; enabling/disabling + * only persists the preference (the sidecar itself is controlled by compose). + */ + +import type { Platform } from "@metic/core/platform"; + +const TAILSCALE_SOCKET = "/var/run/tailscale/tailscaled.sock"; +const LOCALAPI_STATUS_URL = "http://local-tailscaled.sock/localapi/v0/status"; +const LOGIN_URL = "https://login.tailscale.com/admin/settings/keys"; + +export interface TailscaleStatus { + enabled: boolean; + auth_key_configured: boolean; + installed: boolean; + connected: boolean; + hostname: string | null; + dns_name: string | null; + ip: string | null; + external_url: string | null; + auth_key_expired: boolean; + login_url: string | null; +} + +function baseStatus(enabled: boolean, authKeyConfigured: boolean): TailscaleStatus { + return { + enabled, + auth_key_configured: authKeyConfigured, + installed: false, + connected: false, + hostname: null, + dns_name: null, + ip: null, + external_url: null, + auth_key_expired: false, + login_url: null, + }; +} + +interface TailscaleSelf { + HostName?: string; + DNSName?: string; + TailscaleIPs?: string[]; +} +interface TailscaleStatusJson { + BackendState?: string; + Self?: TailscaleSelf; +} + +/** Fold a tailscaled LocalAPI status document into the API status shape. */ +export function parseTailscaleStatus( + status: TailscaleStatus, + data: TailscaleStatusJson, +): TailscaleStatus { + status.installed = true; + const backendState = data.BackendState ?? ""; + status.connected = backendState === "Running"; + const self = data.Self ?? {}; + status.hostname = self.HostName ?? null; + const dnsName = self.DNSName ?? ""; + if (dnsName) { + status.dns_name = dnsName.replace(/\.+$/, ""); + status.external_url = `https://${status.dns_name}`; + } + const ips = self.TailscaleIPs ?? []; + if (ips.length > 0) status.ip = ips[0] ?? null; + if (backendState === "NeedsLogin") { + status.auth_key_expired = true; + status.connected = false; + status.login_url = LOGIN_URL; + } + return status; +} + +function readSettings(platform: Platform): Promise | null> { + return platform.storage.settings.read("settings"); +} + +function resolveAuthKey(settings: Record | null): string { + const stored = typeof settings?.tailscaleAuthKey === "string" ? settings.tailscaleAuthKey : ""; + return stored || (process.env.TAILSCALE_AUTHKEY ?? ""); +} + +/** Query the tailscaled LocalAPI over the shared unix socket. Returns the status shape. */ +export async function getTailscaleStatus(platform: Platform): Promise { + const settings = await readSettings(platform); + const enabled = settings?.tailscaleEnabled === true; + const authKey = resolveAuthKey(settings); + const status = baseStatus(enabled, Boolean(authKey)); + + try { + const res = await fetch(LOCALAPI_STATUS_URL, { + // Bun-native unix-socket fetch; no curl/subprocess needed. + unix: TAILSCALE_SOCKET, + signal: AbortSignal.timeout(5_000), + } as RequestInit); + if (res.ok) { + parseTailscaleStatus(status, (await res.json()) as TailscaleStatusJson); + } + } catch (err) { + // Socket absent or tailscaled unreachable: report not-installed (not an error). + platform.logger.debug("tailscale status probe failed", err); + } + + return status; +} + +function isMaskedKey(value: string): boolean { + return value.includes("*") || value.includes("..."); +} + +interface ConfigureBody { + enabled?: unknown; + authKey?: unknown; +} + +/** Persist Tailscale preferences into settings.json (merged, not replaced). */ +export async function configureTailscale( + platform: Platform, + body: ConfigureBody, +): Promise<{ + status: string; + message: string; + enabled: boolean; + auth_key_configured: boolean; + restart_required: boolean; + restart_signaled: boolean; +}> { + const settings: Record = { ...((await readSettings(platform)) ?? {}) }; + const prevEnabled = settings.tailscaleEnabled === true; + + let changed = false; + let enabledChanged = false; + + if ("enabled" in body) { + const newEnabled = Boolean(body.enabled); + settings.tailscaleEnabled = newEnabled; + changed = true; + enabledChanged = newEnabled !== prevEnabled; + } + + if ("authKey" in body) { + const raw = typeof body.authKey === "string" ? body.authKey.trim() : ""; + if (raw && !isMaskedKey(raw)) { + settings.tailscaleAuthKey = raw; + changed = true; + } else if (!raw) { + settings.tailscaleAuthKey = ""; + changed = true; + } + // A masked value is ignored (the UI echoes the stored key masked). + } + + if (!changed) { + return { + status: "success", + message: "No changes to apply", + enabled: prevEnabled, + auth_key_configured: Boolean(resolveAuthKey(settings)), + restart_required: false, + restart_signaled: false, + }; + } + + await platform.storage.settings.write("settings", settings); + + const enabled = settings.tailscaleEnabled === true; + const authKeyConfigured = Boolean(resolveAuthKey(settings)); + const action = enabled ? "enabled" : "disabled"; + platform.logger.info(`Tailscale configuration updated: ${action}`, { + tailscale_enabled: enabled, + auth_key_configured: authKeyConfigured, + }); + + return { + status: "success", + message: `Tailscale ${action}`, + enabled, + auth_key_configured: authKeyConfigured, + // The sidecar is brought up/down by compose profiles, not this process, so + // an enable/disable toggle asks the operator to recreate the stack. + restart_required: enabledChanged, + restart_signaled: false, + }; +} + +/** + * Dispatch the two Tailscale routes. Returns a Response when owned, else null so + * the caller can fall through to `@metic/core`. + */ +export async function handleTailscaleRoutes( + request: Request, + platform: Platform, +): Promise { + const { pathname } = new URL(request.url); + const json = (data: unknown, status = 200): Response => + new Response(JSON.stringify(data), { + status, + headers: { "content-type": "application/json; charset=utf-8" }, + }); + + if (pathname === "/api/tailscale-status" && request.method === "GET") { + return json(await getTailscaleStatus(platform)); + } + + if (pathname === "/api/tailscale/configure" && request.method === "POST") { + let body: ConfigureBody = {}; + try { + body = (await request.json()) as ConfigureBody; + } catch { + return json({ status: "error", detail: "Invalid JSON body" }, 400); + } + return json(await configureTailscale(platform, body)); + } + + return null; +} diff --git a/apps/bun-server/test/tailscale.test.ts b/apps/bun-server/test/tailscale.test.ts new file mode 100644 index 00000000..b2de35bd --- /dev/null +++ b/apps/bun-server/test/tailscale.test.ts @@ -0,0 +1,176 @@ +import { describe, test, expect, afterEach } from "bun:test"; +import { mkdtemp, rm } from "node:fs/promises"; +import { tmpdir } from "node:os"; +import { join } from "node:path"; +import { createNodePlatform } from "../src/platform/node.ts"; +import { + parseTailscaleStatus, + getTailscaleStatus, + configureTailscale, + handleTailscaleRoutes, + type TailscaleStatus, +} from "../src/tailscale.ts"; + +const dirs: string[] = []; +async function tempDir(): Promise { + const d = await mkdtemp(join(tmpdir(), "metic-tailscale-")); + dirs.push(d); + return d; +} +afterEach(async () => { + while (dirs.length) { + const d = dirs.pop(); + if (d) await rm(d, { recursive: true, force: true }); + } +}); + +function blank(): TailscaleStatus { + return { + enabled: false, + auth_key_configured: false, + installed: false, + connected: false, + hostname: null, + dns_name: null, + ip: null, + external_url: null, + auth_key_expired: false, + login_url: null, + }; +} + +describe("parseTailscaleStatus", () => { + test("maps a Running status into hostname/dns/ip/external_url", () => { + const s = parseTailscaleStatus(blank(), { + BackendState: "Running", + Self: { + HostName: "meticai", + DNSName: "meticai.tail1234.ts.net.", + TailscaleIPs: ["100.64.0.1", "fd7a::1"], + }, + }); + expect(s.installed).toBe(true); + expect(s.connected).toBe(true); + expect(s.hostname).toBe("meticai"); + expect(s.dns_name).toBe("meticai.tail1234.ts.net"); + expect(s.external_url).toBe("https://meticai.tail1234.ts.net"); + expect(s.ip).toBe("100.64.0.1"); + expect(s.auth_key_expired).toBe(false); + }); + + test("NeedsLogin marks the auth key expired and not connected", () => { + const s = parseTailscaleStatus(blank(), { BackendState: "NeedsLogin", Self: {} }); + expect(s.installed).toBe(true); + expect(s.connected).toBe(false); + expect(s.auth_key_expired).toBe(true); + expect(s.login_url).toContain("login.tailscale.com"); + }); +}); + +describe("getTailscaleStatus", () => { + test("reports not-installed when the socket is unreachable", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const status = await getTailscaleStatus(platform); + expect(status.installed).toBe(false); + expect(status.connected).toBe(false); + expect(status.enabled).toBe(false); + }); + + test("reflects persisted enabled + auth_key_configured", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + await platform.storage.settings.write("settings", { + tailscaleEnabled: true, + tailscaleAuthKey: "tskey-abc123", + }); + const status = await getTailscaleStatus(platform); + expect(status.enabled).toBe(true); + expect(status.auth_key_configured).toBe(true); + }); +}); + +describe("configureTailscale", () => { + test("persists enabled + auth key and reports restart_required on enable change", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await configureTailscale(platform, { enabled: true, authKey: "tskey-xyz" }); + expect(res.status).toBe("success"); + expect(res.enabled).toBe(true); + expect(res.auth_key_configured).toBe(true); + expect(res.restart_required).toBe(true); + + const saved = await platform.storage.settings.read("settings"); + expect(saved).toMatchObject({ tailscaleEnabled: true, tailscaleAuthKey: "tskey-xyz" }); + }); + + test("ignores masked auth key values", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + await platform.storage.settings.write("settings", { tailscaleAuthKey: "tskey-real" }); + const res = await configureTailscale(platform, { authKey: "tskey-****" }); + expect(res.auth_key_configured).toBe(true); + const saved = await platform.storage.settings.read("settings"); + expect(saved).toMatchObject({ tailscaleAuthKey: "tskey-real" }); + }); + + test("no-op body reports no changes and no restart", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await configureTailscale(platform, {}); + expect(res.message).toBe("No changes to apply"); + expect(res.restart_required).toBe(false); + }); + + test("merges into existing settings without clobbering unrelated keys", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + await platform.storage.settings.write("settings", { meticulousIp: "1.2.3.4" }); + await configureTailscale(platform, { enabled: true }); + const saved = await platform.storage.settings.read("settings"); + expect(saved).toMatchObject({ meticulousIp: "1.2.3.4", tailscaleEnabled: true }); + }); +}); + +describe("handleTailscaleRoutes", () => { + test("GET /api/tailscale-status returns the status JSON", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await handleTailscaleRoutes( + new Request("http://localhost/api/tailscale-status"), + platform, + ); + expect(res).not.toBeNull(); + expect(res!.status).toBe(200); + expect(await res!.json()).toMatchObject({ installed: false, enabled: false }); + }); + + test("POST /api/tailscale/configure persists and returns success", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await handleTailscaleRoutes( + new Request("http://localhost/api/tailscale/configure", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ enabled: true }), + }), + platform, + ); + expect(res!.status).toBe(200); + expect(await res!.json()).toMatchObject({ status: "success", enabled: true }); + }); + + test("returns null for a non-tailscale route", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await handleTailscaleRoutes( + new Request("http://localhost/api/settings"), + platform, + ); + expect(res).toBeNull(); + }); + + test("rejects malformed JSON on configure", async () => { + const platform = createNodePlatform({ dataDir: await tempDir() }); + const res = await handleTailscaleRoutes( + new Request("http://localhost/api/tailscale/configure", { + method: "POST", + headers: { "content-type": "application/json" }, + body: "{not json", + }), + platform, + ); + expect(res!.status).toBe(400); + }); +}); From c10dfa1c14585d334a7547661931245e081603f8 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:47:41 +0200 Subject: [PATCH 41/62] feat(docker): distroless single-binary image + CI size gate (Phase 6, #532) Rewrite docker/Dockerfile.unified as a three-stage build producing one slim image: (1) Vite/Bun frontend build, (2) `bun build --compile` of the Bun server into a self-contained binary that embeds the runtime, @metic/core, @google/genai, socket.io-client and bun:sqlite, (3) a gcr.io/distroless/cc-debian12 runtime holding only the binary, frontend/dist and VERSION. No Python, nginx, mosquitto, MCP server, bridge or s6-overlay: that logic now lives in @metic/core and is served by the single process. The image drops from a few hundred MB to ~190 MB uncompressed. Cross-compiles on $BUILDPLATFORM via --target=bun-linux- (no qemu). Uses the Debian (glibc) Bun image for the compile stage so the binary matches the glibc distroless runtime; the -alpine image emits a musl binary the runtime cannot exec. HEALTHCHECK runs the binary's own `healthcheck` subcommand (no curl in distroless). CI (tests.yml docker-build): add a 260 MB uncompressed image-size gate and switch the container health probe from `docker exec curl` to `docker exec /app/metic healthcheck`. Smoke-verified against machine 192.168.50.168: /health, /api/version, static SPA, /config.json override, /api/tailscale-status, /api/v1/* proxy, core /api/recipes + /api/pour-over/preferences, and /api/ws/live telemetry frames. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .dockerignore | 5 +- .github/workflows/tests.yml | 19 +++- docker/Dockerfile.unified | 216 ++++++++++++------------------------ 3 files changed, 90 insertions(+), 150 deletions(-) diff --git a/.dockerignore b/.dockerignore index 96065ebe..b66d8ccc 100644 --- a/.dockerignore +++ b/.dockerignore @@ -43,9 +43,12 @@ data/ logs/ *.log -# Node modules (web builder stage installs fresh) +# Node modules (builder stages install fresh) apps/web/node_modules/ apps/web/dist/ +apps/bun-server/node_modules/ +apps/bun-server/dist/ +packages/core/node_modules/ # Python cache __pycache__/ diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index e5abb489..3552ff99 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -212,6 +212,20 @@ jobs: cache-from: type=gha cache-to: type=gha,mode=max + - name: Enforce image size gate + run: | + # The 3.0.0 distroless single-binary image is a single Bun process + # (no Python/nginx/mosquitto/s6). Guard against accidental bloat. + # Threshold is the uncompressed size reported by `docker images`. + MAX_MB=260 + SIZE_BYTES=$(docker image inspect meticai:test --format '{{.Size}}') + SIZE_MB=$(( SIZE_BYTES / 1024 / 1024 )) + echo "Unified image size: ${SIZE_MB} MB (limit ${MAX_MB} MB)" + if [ "${SIZE_MB}" -gt "${MAX_MB}" ]; then + echo "::error::Image size ${SIZE_MB} MB exceeds the ${MAX_MB} MB gate" + exit 1 + fi + - name: Test container starts run: | docker run -d --name test-container \ @@ -226,8 +240,9 @@ jobs: # Check container is running docker ps | grep test-container - # Check health endpoint - docker exec test-container curl -f http://localhost:3550/health || exit 1 + # Check health endpoint. The distroless image has no shell/curl, so + # probe via the binary's own healthcheck subcommand. + docker exec test-container /app/metic healthcheck || exit 1 - name: Setup Bun (attempt 1) id: setup_bun_1 diff --git a/docker/Dockerfile.unified b/docker/Dockerfile.unified index 4a5cfec3..d396d9ea 100644 --- a/docker/Dockerfile.unified +++ b/docker/Dockerfile.unified @@ -1,22 +1,23 @@ # ============================================================================== -# MeticAI Unified Docker Image +# MeticAI 3.0.0 Unified Image — distroless single binary # ============================================================================== -# This image contains all MeticAI components: -# - Server (FastAPI backend) -# - Web Frontend (React, served via nginx) -# - MCP Server (Meticulous machine communication) -# - Gemini SDK-based AI integration -# - Mosquitto MQTT Broker (real-time telemetry bus) -# - Meticulous Bridge (Socket.IO → MQTT relay via @nickwilsonr/meticulous-addon) +# One process, one binary. The Bun server (apps/bun-server, @metic/server) +# consumes the shared @metic/core handler, serves the built React frontend, +# transparently proxies the machine API, and streams live telemetry over a +# native WebSocket. There is no Python, nginx, mosquitto, MCP server, bridge or +# s6-overlay: all of that logic now lives in @metic/core. # -# Process management: s6-overlay -# Port 3550: nginx (web UI + API proxy) +# Stage 1 build the frontend (Vite/Bun -> dist) +# Stage 2 compile the server to a self-contained binary (bun build --compile) +# Stage 3 distroless/cc runtime: binary + frontend/dist + VERSION only +# +# Port 3550: the Bun server (web UI + API + /api/ws/live telemetry). # ============================================================================== # ------------------------------------------------------------------------------ # Stage 1: Build Web Frontend # ------------------------------------------------------------------------------ -FROM oven/bun:1.3.14-alpine AS web-builder +FROM --platform=$BUILDPLATFORM oven/bun:1.3.14-alpine AS web-builder WORKDIR /build @@ -40,155 +41,76 @@ RUN bun run build # ------------------------------------------------------------------------------ -# Stage 2: Build Python Dependencies +# Stage 2: Compile the Bun server to a single self-contained binary # ------------------------------------------------------------------------------ -FROM python:3.13-slim AS python-builder - -WORKDIR /build +# Runs on the BUILD platform and cross-compiles to the TARGET arch via +# `bun build --compile --target`, so multi-arch builds never touch qemu here. +# Uses the Debian (glibc) Bun image so the produced binary matches the glibc +# distroless/cc runtime below (the -alpine image would emit a musl binary). +FROM --platform=$BUILDPLATFORM oven/bun:1.3.14 AS server-builder -# Install build dependencies -RUN apt-get update && apt-get install -y --no-install-recommends \ - gcc \ - && rm -rf /var/lib/apt/lists/* +ARG TARGETARCH -# Create virtual environment -RUN python -m venv /opt/venv -ENV PATH="/opt/venv/bin:$PATH" +WORKDIR /build -# Install server dependencies -COPY apps/server/requirements.txt ./server-requirements.txt -RUN pip install --no-cache-dir -r server-requirements.txt +# Preserve the monorepo layout so @metic/server's file:../../packages/core +# dependency resolves during install. +COPY packages/core /build/packages/core +COPY apps/bun-server/ /build/apps/bun-server/ -# Install MCP server dependencies -COPY apps/mcp-server/meticulous-mcp/requirements.txt ./mcp-requirements.txt -RUN pip install --no-cache-dir -r mcp-requirements.txt +WORKDIR /build/apps/bun-server +RUN bun install --frozen-lockfile 2>/dev/null || bun install -# Install bridge dependencies (MQTT bridge for real-time machine data) -COPY apps/bridge/requirements.txt ./bridge-requirements.txt -RUN pip install --no-cache-dir -r bridge-requirements.txt +# Map Docker's TARGETARCH onto Bun's glibc compile targets (distroless/cc is +# glibc-based). The compiled binary embeds the Bun runtime plus all JS deps +# (@metic/core, @google/genai, socket.io-client) and bun:sqlite. +RUN case "${TARGETARCH}" in \ + amd64) BUN_TARGET="bun-linux-x64" ;; \ + arm64) BUN_TARGET="bun-linux-arm64" ;; \ + *) BUN_TARGET="bun-linux-x64" ;; \ + esac \ + && echo "Compiling metic for ${BUN_TARGET}" \ + && bun build --compile --minify --sourcemap \ + --target="${BUN_TARGET}" \ + src/main.ts --outfile /build/metic # ------------------------------------------------------------------------------ -# Stage 3: Final Runtime Image +# Stage 3: Distroless runtime # ------------------------------------------------------------------------------ -FROM python:3.13-slim - -# Install runtime dependencies (xz-utils needed for s6-overlay extraction) -RUN apt-get update && apt-get install -y --no-install-recommends \ - nginx \ - curl \ - xz-utils \ - git \ - mosquitto \ - mosquitto-clients \ - && rm -rf /var/lib/apt/lists/* - -# Install s6-overlay for process management -ARG S6_OVERLAY_VERSION=3.2.2.0 -ARG TARGETARCH -RUN case "${TARGETARCH}" in \ - amd64) S6_ARCH="x86_64" ;; \ - arm64) S6_ARCH="aarch64" ;; \ - arm) S6_ARCH="armhf" ;; \ - *) S6_ARCH="x86_64" ;; \ - esac \ - && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/v${S6_OVERLAY_VERSION}/s6-overlay-noarch.tar.xz" -o /tmp/s6-overlay-noarch.tar.xz \ - && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/v${S6_OVERLAY_VERSION}/s6-overlay-${S6_ARCH}.tar.xz" -o /tmp/s6-overlay-arch.tar.xz \ - && tar -C / -Jxpf /tmp/s6-overlay-noarch.tar.xz \ - && tar -C / -Jxpf /tmp/s6-overlay-arch.tar.xz \ - && rm /tmp/s6-overlay-*.tar.xz - -# Copy Python virtual environment from builder -COPY --from=python-builder /opt/venv /opt/venv -ENV PATH="/opt/venv/bin:$PATH" -ENV PYTHONUNBUFFERED=1 - -# Create app directories -RUN mkdir -p /app/server /app/mcp-server /var/www/html /data - -# Copy built web frontend -COPY --from=web-builder /build/apps/web/dist /var/www/html - -# Ensure config.json exists (gitignored in source, needed at runtime) -RUN echo '{"serverUrl":""}' > /var/www/html/config.json - -# Copy server -COPY apps/server/ /app/server/ - -# Copy VERSION file so the /api/version endpoint can read it -COPY VERSION /app/server/VERSION - -# Copy MCP server -COPY apps/mcp-server/ /app/mcp-server/ - -# Clone espresso profile schema (required by MCP server for profile validation) -RUN git clone --depth 1 https://github.com/MeticulousHome/espresso-profile-schema.git /app/espresso-profile-schema - -# Clone meticulous-addon (MQTT bridge for real-time machine telemetry) -# Credit: @nickwilsonr — https://github.com/nickwilsonr/meticulous-addon -RUN git clone --depth 1 https://github.com/nickwilsonr/meticulous-addon.git /app/meticulous-addon - -# Patch: fix double-slash in base_url that breaks /api/v1/machine on some firmware -# The upstream addon sets base_url with trailing slash → "http://x:8080//api/v1/machine" → 404 -RUN sed -i 's|base_url = f"http://{self.machine_ip}:8080/"|base_url = f"http://{self.machine_ip}:8080"|' \ - /app/meticulous-addon/rootfs/usr/bin/run.py && \ - echo "Patched meticulous-addon: removed trailing slash from base_url" - -# Patch: add 'power' sensor to the bridge's MQTT mapping -# The upstream addon doesn't map machine power % to MQTT — inject it after 'brightness' -RUN python3 -c "\ -import re, pathlib; \ -p = pathlib.Path('/app/meticulous-addon/rootfs/usr/bin/run.py'); \ -s = p.read_text(); \ -s = s.replace(\ - '\"brightness\": {\\n \"component\": \"sensor\",\\n \"state_topic\": f\"{base}/brightness/state\",\\n },', \ - '\"brightness\": {\\n \"component\": \"sensor\",\\n \"state_topic\": f\"{base}/brightness/state\",\\n },\\n \"power\": {\\n \"component\": \"sensor\",\\n \"state_topic\": f\"{base}/power/state\",\\n },'); \ -s = s.replace('\"brightness\": \"Brightness\",', '\"brightness\": \"Brightness\",\\n \"power\": \"Power\",'); \ -s = s.replace('\"brightness\": \"Display brightness level\",', '\"brightness\": \"Display brightness level\",\\n \"power\": \"Motor power percentage during extraction\",'); \ -p.write_text(s); \ -print('Patched meticulous-addon with power sensor mapping')" - -# Copy bridge wrapper (zero-fork adapter for the addon) -COPY apps/bridge/ /app/bridge/ - -# Copy mosquitto configuration (localhost-only, no auth) -COPY docker/mosquitto.conf /etc/mosquitto/mosquitto.conf - -# Copy nginx configuration -COPY docker/nginx.conf /etc/nginx/nginx.conf - -# Copy s6 service definitions -COPY docker/s6-rc.d/ /etc/s6-overlay/s6-rc.d/ - -# Copy data migration script (v1.x → v2.0 one-shot) -COPY docker/scripts/data-migrate.sh /etc/s6-overlay/scripts/data-migrate -RUN chmod +x /etc/s6-overlay/scripts/data-migrate - -# Create data directory for persistent storage +# distroless/cc provides glibc + libstdc++/libgcc (needed by the Bun runtime) +# and nothing else: no shell, no package manager, minimal attack surface. +FROM gcr.io/distroless/cc-debian12 + +WORKDIR /app + +# The compiled server binary. +COPY --from=server-builder /build/metic /app/metic + +# The built frontend (served from ${STATIC_DIR:-./frontend/dist}). +COPY --from=web-builder /build/apps/web/dist /app/frontend/dist + +# VERSION drives GET /api/version (resolveAppVersion reads ./VERSION from cwd). +COPY VERSION /app/VERSION + +# Persistent storage (settings, history, annotations, dial-in, images, and the +# optional SQLite database when STORAGE_BACKEND=sqlite). VOLUME ["/data"] -# Copy default data files (templates, etc.) -# These are placed in /app/defaults and copied to /data at startup if missing -COPY data/PourOverBase.json /app/defaults/PourOverBase.json -COPY data/recipes/ /app/defaults/recipes/ - -# Environment variables -ENV DATA_DIR=/data -ENV METICULOUS_IP=meticulous.local -ENV GEMINI_API_KEY="" -ENV MCP_SERVER_PORT=8080 -ENV SERVER_PORT=8000 -ENV MQTT_ENABLED=true -ENV MQTT_HOST=127.0.0.1 -ENV MQTT_PORT=1883 - -# Expose ports -# 3550: nginx (web UI + API proxy) - main entry point +# Environment (only the vars the unified binary actually reads). +ENV DATA_DIR=/data \ + METICULOUS_IP=meticulous.local \ + GEMINI_API_KEY="" \ + STORAGE_BACKEND=json \ + PORT=3550 \ + STATIC_DIR=/app/frontend/dist + +# 3550: Bun server (web UI + API + telemetry WebSocket) — main entry point. EXPOSE 3550 -# Health check +# The binary self-probes /health; no curl needed in the image. HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \ - CMD curl -f http://localhost:3550/health || exit 1 + CMD ["/app/metic", "healthcheck"] -# s6-overlay entrypoint -ENTRYPOINT ["/init"] +ENTRYPOINT ["/app/metic"] +CMD ["serve"] From 8732672a02e937c1b4006b16d22bd3ae85a271d0 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:47:47 +0200 Subject: [PATCH 42/62] chore: ignore bun --compile temp artifacts Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index f0cb92eb..d59083d3 100644 --- a/.gitignore +++ b/.gitignore @@ -93,3 +93,6 @@ testflight.md # TypeScript incremental build info *.tsbuildinfo + +# Bun compile temp artifacts +*.bun-build From 4a4edefcd6805c8b044302c2590e1567cfb4d651 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:50:33 +0200 Subject: [PATCH 43/62] feat(core): benign /api/profiles/sync/accept/{id} stub (Phase 7 parity, #532) Close the last SPA-referenced /api/* gap before deleting the Python backend. SyncReport.tsx posts to /api/profiles/sync/accept/{id}, but sync tracking (stored profile_json + content_hash in the profile-generation history) is a legacy server-only concept: in the unified runtime profiles live on the machine and the SPA reads them directly, so sync/status already reports zero pending items and there is nothing to accept. Return a benign success matching the frozen response shape so the UI never leaks a notFound. The other Python-only endpoints tested in test_main.py (/api/logs, /api/history/migrate, /api/profiles/repair, /api/bridge/*) are not referenced by the SPA and are intentionally dropped with the Python/MQTT stack in Phase 7. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/routes/profilesCrud.ts | 18 ++++++++++++++++ .../core/test/contract/profilesCrud.test.ts | 21 +++++++++++++++++++ 2 files changed, 39 insertions(+) diff --git a/packages/core/src/routes/profilesCrud.ts b/packages/core/src/routes/profilesCrud.ts index bffb654a..87b511e1 100644 --- a/packages/core/src/routes/profilesCrud.ts +++ b/packages/core/src/routes/profilesCrud.ts @@ -788,6 +788,24 @@ export async function handleProfilesCrudRoutes( return jsonResponse({ new_count: 0, updated_count: 0, orphaned_count: 0 }); } + // POST /api/profiles/sync/accept/{profile_id} + // Sync tracking (stored profile_json + content_hash in the profile-generation + // history) is a legacy server-only concept; in the unified runtime profiles + // live on the machine and the SPA reads them directly, so sync/status always + // reports zero pending items and there is nothing to accept. Return a benign + // success matching the frozen response shape so the SyncReport UI never leaks + // a notFound if it posts here. + const acceptMatch = pathname.match(/^\/api\/profiles\/sync\/accept\/([^/]+)$/); + if (acceptMatch && method === "POST") { + const profileId = decodeURIComponent(acceptMatch[1]); + return jsonResponse({ + status: "success", + profile_name: profileId, + content_hash: "", + ai_description_generated: false, + }); + } + // POST /api/profiles/sync if (pathname === "/api/profiles/sync" && method === "POST") { return jsonResponse({ status: "success", new: [], updated: [], orphaned: [] }); diff --git a/packages/core/test/contract/profilesCrud.test.ts b/packages/core/test/contract/profilesCrud.test.ts index ee03b17f..4b9c0e23 100644 --- a/packages/core/test/contract/profilesCrud.test.ts +++ b/packages/core/test/contract/profilesCrud.test.ts @@ -412,6 +412,27 @@ describe("profiles-crud: sync + orphaned + profile json", () => { expect(body).toEqual({ status: "success", new: [], updated: [], orphaned: [] }); }); + test("sync/accept/{id} returns a benign success (no notFound leak)", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const res = await handle(jsonReq("/api/profiles/sync/accept/prof-1", "POST"), p); + expect(res.status).toBe(200); + const body = await res.json(); + expect(body).toEqual({ + status: "success", + profile_name: "prof-1", + content_hash: "", + ai_description_generated: false, + }); + }); + + test("sync/accept decodes an encoded profile id", async () => { + const p = makeMockPlatform({ machine: scriptedMachine({}) }); + const body = await ( + await handle(jsonReq("/api/profiles/sync/accept/My%20Profile", "POST"), p) + ).json(); + expect(body.profile_name).toBe("My Profile"); + }); + test("orphaned returns an empty list", async () => { const p = makeMockPlatform({ machine: scriptedMachine({}) }); const body = await (await handle(get("/api/machine/profiles/orphaned"), p)).json(); From 6a0cdca3afe119370b721e870cc8e9615d1d302e Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 22:58:46 +0200 Subject: [PATCH 44/62] feat!: delete Python backend, cut over to the unified Bun image (Phase 7, #532) BREAKING CHANGE: the 3.0.0 image is a single distroless Bun process. The Python FastAPI server (apps/server), MCP server (apps/mcp-server submodule), MQTT bridge (apps/bridge), Mosquitto broker, nginx and s6-overlay are all removed; their logic now lives in @metic/core and is served by apps/bun-server. Removed: - apps/server, apps/mcp-server, apps/bridge - docker/{mosquitto.conf,mosquitto-external.conf,nginx.conf,s6-rc.d,scripts,gemini-settings.json} - docker-compose.homeassistant.yml and the Home Assistant MQTT integration Deprecations (with notices in README/HOME_ASSISTANT.md/UPDATING.md): - Home Assistant MQTT auto-discovery is gone; live telemetry + machine control are unaffected (served over the built-in /api/ws/live WebSocket). - The in-UI self-updater is removed (/api/trigger-update -> 503); update via image pull or the optional Watchtower sidecar. Infra + tooling: - docker-compose.yml: drop the mosquitto-data volume, add STORAGE_BACKEND, and switch the healthcheck to the binary's own `/app/metic healthcheck` (no curl in distroless). - scripts/install.sh + scripts/addons.sh: drop the HA/MQTT prompts and downloads (Watchtower + Tailscale addons retained). Legacy uninstall paths still purge the old mosquitto-data volume. - CI (tests.yml): replace the Python server-tests + ruff/black lint steps with a Bun `Core + Server Tests` job (@metic/core vitest+tsc, apps/bun-server test+tsc). - dependabot: swap the two pip ecosystems for npm on packages/core + apps/bun-server. Version: bump VERSION and apps/web to 3.0.0-beta.1 (publishes on the beta tag only; latest stays on 2.x until device validation). Verified: @metic/core 539 tests + tsc clean; apps/bun-server 46 tests + tsc clean; distroless image built + smoke-tested against machine 192.168.50.168 (health, version, static SPA, config override, tailscale-status, /api/v1 proxy, core routes, /api/ws/live telemetry). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .github/dependabot.yml | 38 +- .github/workflows/tests.yml | 93 +- .gitmodules | 3 - HOME_ASSISTANT.md | 6 + README.md | 29 +- UPDATING.md | 4 + VERSION | 2 +- apps/bridge/requirements.txt | 13 - apps/bridge/start_bridge.py | 274 - apps/mcp-server | 1 - apps/server/.gitignore | 1 - apps/server/INTEGRATION_TESTING.md | 228 - apps/server/analysis_knowledge.py | 123 - apps/server/analysis_schema.py | 16 - apps/server/api/__init__.py | 1 - apps/server/api/routes/__init__.py | 1 - apps/server/api/routes/bridge.py | 55 - apps/server/api/routes/coffee.py | 1142 - apps/server/api/routes/commands.py | 271 - apps/server/api/routes/dialin.py | 222 - apps/server/api/routes/history.py | 420 - apps/server/api/routes/machine_status.py | 156 - apps/server/api/routes/pour_over.py | 226 - apps/server/api/routes/profiles.py | 4418 ---- apps/server/api/routes/recipes.py | 40 - apps/server/api/routes/scheduling.py | 1054 - apps/server/api/routes/shots.py | 1888 -- apps/server/api/routes/system.py | 1875 -- apps/server/api/routes/websocket.py | 127 - apps/server/config.py | 91 - apps/server/conftest.py | 92 - apps/server/conftest_integration.py | 180 - apps/server/logging_config.py | 215 - apps/server/main.py | 503 - apps/server/models/__init__.py | 1 - apps/server/models/dialin.py | 77 - apps/server/prompt_builder.py | 1034 - apps/server/pytest.ini | 17 - apps/server/requirements-test.txt | 8 - apps/server/requirements.txt | 11 - apps/server/services/__init__.py | 1 - apps/server/services/ai_providers.py | 453 - apps/server/services/analysis_service.py | 1865 -- apps/server/services/analysis_validator.py | 56 - apps/server/services/bridge_service.py | 121 - apps/server/services/cache_service.py | 368 - apps/server/services/compass_rules.py | 74 - apps/server/services/decent_converter.py | 229 - apps/server/services/dialin_service.py | 277 - apps/server/services/gemini_service.py | 845 - apps/server/services/generation_progress.py | 135 - apps/server/services/history_service.py | 314 - .../services/machine_discovery_service.py | 212 - apps/server/services/meticulous_service.py | 666 - apps/server/services/mqtt_service.py | 274 - apps/server/services/pour_over_adapter.py | 169 - apps/server/services/pour_over_preferences.py | 127 - .../profile_recommendation_service.py | 615 - apps/server/services/recipe_adapter.py | 225 - apps/server/services/scheduling_state.py | 373 - apps/server/services/settings_service.py | 72 - .../services/shot_annotations_service.py | 240 - apps/server/services/shot_facts.py | 407 - apps/server/services/temp_profile_service.py | 471 - apps/server/services/validation_service.py | 270 - apps/server/test_ai_providers.py | 395 - apps/server/test_analyze_shot.py | 159 - apps/server/test_integration_machine.py | 560 - apps/server/test_logging.py | 419 - apps/server/test_main.py | 18339 ---------------- apps/server/test_recommendations.py | 504 - apps/server/test_taste_compass.py | 211 - apps/server/tools/__init__.py | 8 - apps/server/tools/analyze_shot.py | 163 - .../tools/samples/slayer_at_home.shot.json | 1 - apps/server/utils/__init__.py | 1 - apps/server/utils/file_utils.py | 76 - apps/server/utils/s6_env.py | 44 - apps/server/utils/sanitization.py | 43 - apps/web/package.json | 2 +- docker-compose.homeassistant.yml | 29 - docker-compose.yml | 13 +- docker/gemini-settings.json | 8 - docker/mosquitto-external.conf | 20 - docker/mosquitto.conf | 21 - docker/nginx.conf | 185 - docker/s6-rc.d/data-migrate/type | 1 - docker/s6-rc.d/data-migrate/up | 1 - docker/s6-rc.d/mcp-server/run | 12 - docker/s6-rc.d/mcp-server/type | 1 - docker/s6-rc.d/meticulous-bridge/dependencies | 1 - docker/s6-rc.d/meticulous-bridge/run | 3 - docker/s6-rc.d/meticulous-bridge/type | 1 - docker/s6-rc.d/mosquitto/run | 2 - docker/s6-rc.d/mosquitto/type | 1 - docker/s6-rc.d/nginx/dependencies | 2 - docker/s6-rc.d/nginx/run | 2 - docker/s6-rc.d/nginx/type | 1 - docker/s6-rc.d/server/dependencies | 1 - docker/s6-rc.d/server/run | 3 - docker/s6-rc.d/server/type | 1 - docker/s6-rc.d/user/contents.d/data-migrate | 0 docker/s6-rc.d/user/contents.d/mcp-server | 0 .../s6-rc.d/user/contents.d/meticulous-bridge | 0 docker/s6-rc.d/user/contents.d/mosquitto | 0 docker/s6-rc.d/user/contents.d/nginx | 0 docker/s6-rc.d/user/contents.d/server | 0 docker/scripts/data-migrate.sh | 74 - scripts/addons.sh | 17 - scripts/install.sh | 21 - 110 files changed, 93 insertions(+), 45068 deletions(-) delete mode 100644 .gitmodules delete mode 100644 apps/bridge/requirements.txt delete mode 100644 apps/bridge/start_bridge.py delete mode 160000 apps/mcp-server delete mode 100644 apps/server/.gitignore delete mode 100644 apps/server/INTEGRATION_TESTING.md delete mode 100644 apps/server/analysis_knowledge.py delete mode 100644 apps/server/analysis_schema.py delete mode 100644 apps/server/api/__init__.py delete mode 100644 apps/server/api/routes/__init__.py delete mode 100644 apps/server/api/routes/bridge.py delete mode 100644 apps/server/api/routes/coffee.py delete mode 100644 apps/server/api/routes/commands.py delete mode 100644 apps/server/api/routes/dialin.py delete mode 100644 apps/server/api/routes/history.py delete mode 100644 apps/server/api/routes/machine_status.py delete mode 100644 apps/server/api/routes/pour_over.py delete mode 100644 apps/server/api/routes/profiles.py delete mode 100644 apps/server/api/routes/recipes.py delete mode 100644 apps/server/api/routes/scheduling.py delete mode 100644 apps/server/api/routes/shots.py delete mode 100644 apps/server/api/routes/system.py delete mode 100644 apps/server/api/routes/websocket.py delete mode 100644 apps/server/config.py delete mode 100644 apps/server/conftest.py delete mode 100644 apps/server/conftest_integration.py delete mode 100644 apps/server/logging_config.py delete mode 100644 apps/server/main.py delete mode 100644 apps/server/models/__init__.py delete mode 100644 apps/server/models/dialin.py delete mode 100644 apps/server/prompt_builder.py delete mode 100644 apps/server/pytest.ini delete mode 100644 apps/server/requirements-test.txt delete mode 100644 apps/server/requirements.txt delete mode 100644 apps/server/services/__init__.py delete mode 100644 apps/server/services/ai_providers.py delete mode 100644 apps/server/services/analysis_service.py delete mode 100644 apps/server/services/analysis_validator.py delete mode 100644 apps/server/services/bridge_service.py delete mode 100644 apps/server/services/cache_service.py delete mode 100644 apps/server/services/compass_rules.py delete mode 100644 apps/server/services/decent_converter.py delete mode 100644 apps/server/services/dialin_service.py delete mode 100644 apps/server/services/gemini_service.py delete mode 100644 apps/server/services/generation_progress.py delete mode 100644 apps/server/services/history_service.py delete mode 100644 apps/server/services/machine_discovery_service.py delete 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a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -3,51 +3,49 @@ version: 2 updates: - # Python — FastAPI server - - package-ecosystem: "pip" - directory: "/apps/server" + # npm — Web frontend (Bun uses package.json) + - package-ecosystem: "npm" + directory: "/apps/web" schedule: interval: "weekly" day: "monday" - open-pull-requests-limit: 5 + open-pull-requests-limit: 10 labels: - "dependencies" - - "python" + - "javascript" commit-message: prefix: "chore(deps)" + groups: + dev-dependencies: + dependency-type: "development" + update-types: ["minor", "patch"] + production-dependencies: + dependency-type: "production" + update-types: ["patch"] - # Python — MCP server - - package-ecosystem: "pip" - directory: "/apps/mcp-server" + # npm — Bun server host (@metic/server) + - package-ecosystem: "npm" + directory: "/apps/bun-server" schedule: interval: "weekly" day: "monday" - open-pull-requests-limit: 3 labels: - "dependencies" - - "python" + - "javascript" commit-message: prefix: "chore(deps)" - # npm — Web frontend (Bun uses package.json) + # npm — shared @metic/core handler - package-ecosystem: "npm" - directory: "/apps/web" + directory: "/packages/core" schedule: interval: "weekly" day: "monday" - open-pull-requests-limit: 10 labels: - "dependencies" - "javascript" commit-message: prefix: "chore(deps)" - groups: - dev-dependencies: - dependency-type: "development" - update-types: ["minor", "patch"] - production-dependencies: - dependency-type: "production" - update-types: ["patch"] # Docker — unified Dockerfile - package-ecosystem: "docker" diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 3552ff99..2e230c93 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -14,14 +14,14 @@ on: jobs: # ============================================================================ - # Relay Server Tests (Python/FastAPI) + # Core + Server Tests (TypeScript/Bun) # ============================================================================ + # @metic/core is the shared request handler; apps/bun-server is the compiled + # single-binary host. Both run under Bun and share the frozen /api/* contract + # tests that are the cross-runtime parity oracle. server-tests: - name: Server Tests (Python) + name: Core + Server Tests (Bun) runs-on: ubuntu-latest - defaults: - run: - working-directory: apps/server permissions: contents: read @@ -31,37 +31,52 @@ jobs: with: submodules: recursive - - name: Set up Python 3.13 - uses: actions/setup-python@v6 + - name: Setup Bun (attempt 1) + id: setup_bun_1 + continue-on-error: true + uses: oven-sh/setup-bun@v2 with: - python-version: "3.13" - cache: "pip" - cache-dependency-path: apps/server/requirements-test.txt - - - name: Install dependencies - run: | - pip install --upgrade pip - pip install -r requirements-test.txt + # Pin Bun for CI reproducibility and transient download stability. + # Keep this in sync with docker/Dockerfile.unified bun base image. + bun-version: 1.3.14 - - name: Run Python tests with coverage - env: - GEMINI_API_KEY: test_key_for_ci - run: | - pytest test_main.py test_logging.py test_taste_compass.py test_recommendations.py -v \ - --cov=main --cov=logging_config --cov=config \ - --cov=prompt_builder --cov=api --cov=services \ - --cov=utils --cov=models \ - --cov-report=xml --cov-report=term-missing + - name: Setup Bun (attempt 2) + id: setup_bun_2 + if: steps.setup_bun_1.outcome == 'failure' + continue-on-error: true + uses: oven-sh/setup-bun@v2 + with: + bun-version: 1.3.14 - - name: Upload coverage to Codecov - uses: codecov/codecov-action@v7 + - name: Setup Bun (attempt 3) + if: steps.setup_bun_2.outcome == 'failure' + uses: oven-sh/setup-bun@v2 with: - files: ./apps/server/coverage.xml - flags: relay - name: server-coverage + bun-version: 1.3.14 + + - name: Install @metic/core dependencies + working-directory: packages/core + run: bun install --frozen-lockfile + + - name: Typecheck @metic/core + working-directory: packages/core + run: bunx tsc --noEmit + + - name: Run @metic/core contract + unit tests + working-directory: packages/core + run: bunx vitest run - - name: Check coverage threshold - run: coverage report --fail-under=68 + - name: Install apps/bun-server dependencies + working-directory: apps/bun-server + run: bun install --frozen-lockfile + + - name: Typecheck apps/bun-server + working-directory: apps/bun-server + run: bunx tsc --noEmit + + - name: Run apps/bun-server tests + working-directory: apps/bun-server + run: bun test # ============================================================================ # Web Frontend Tests (TypeScript/React) @@ -310,22 +325,6 @@ jobs: with: submodules: recursive - - name: Set up Python 3.13 - uses: actions/setup-python@v6 - with: - python-version: "3.13" - - - name: Install Python linting tools - run: pip install ruff black - - - name: Run ruff on relay - run: ruff check apps/server/ - continue-on-error: true - - - name: Check Python formatting - run: black --check apps/server/ - continue-on-error: true - - name: Setup Bun (attempt 1) id: setup_bun_1 continue-on-error: true diff --git a/.gitmodules b/.gitmodules deleted file mode 100644 index 287f4225..00000000 --- a/.gitmodules +++ /dev/null @@ -1,3 +0,0 @@ -[submodule "apps/mcp-server"] - path = apps/mcp-server - url = https://github.com/hessius/meticulous-mcp.git diff --git a/HOME_ASSISTANT.md b/HOME_ASSISTANT.md index e87c0feb..2668cbc2 100644 --- a/HOME_ASSISTANT.md +++ b/HOME_ASSISTANT.md @@ -1,5 +1,11 @@ # 🏠 Home Assistant Integration +> **⚠️ Removed in 3.0.0.** The MQTT bridge (Mosquitto broker + meticulous-addon) +> was removed when the Python backend was replaced by the unified Bun server. +> Home Assistant auto-discovery is no longer available. Live telemetry and +> machine control remain fully functional inside Metic via the built-in +> `/api/ws/live` WebSocket. This document is retained for users still on 2.x. + Connect Metic to Home Assistant to get real-time espresso machine telemetry, create automations, and control your Meticulous from HA dashboards. ## How It Works diff --git a/README.md b/README.md index 6c3637d9..c145606c 100644 --- a/README.md +++ b/README.md @@ -44,8 +44,7 @@ When I got my Meticulous, after a loooong wait, I was overwhelmed with the optio ### For Power Users - 🔌 **REST API** - Integrate with any automation system -- 🏠 **Home Assistant** - MQTT bridge for HA automations and entities -- 🐳 **Single Docker Container** - Simple deployment and updates +- 🐳 **Single Docker Container** - Simple, distroless single-binary deployment - 🔓 **Open Source** - Customize and extend as you like - 🔄 **Auto Updates** - Optional Watchtower integration @@ -156,29 +155,22 @@ server is required. ## 🎛️ Control Center -Metic includes a real-time Control Center powered by the [meticulous-addon](https://github.com/nickwilsonr/meticulous-addon) MQTT bridge: +Metic includes a real-time Control Center with live machine telemetry streamed +straight from your Meticulous over the built-in `/api/ws/live` WebSocket: - **Live telemetry** — Real-time pressure, flow, weight, and temperature gauges - **Machine control** — Preheat, tare, purge, abort, brightness, sounds, and more - **Live Shot View** — Watch your extraction in real-time with live charts - **Auto-detection** — Automatically detects when a shot starts and prompts you to watch - **Last Shot Banner** — After a shot, offers one-tap analysis with AI coaching -- **Home Assistant** — MQTT bridge enables auto-discovery of 24 sensors + 11 commands in HA -The Control Center appears as a side panel on desktop and a full page on mobile. Enable it in Settings → Control Center → MQTT Bridge. +The Control Center appears as a side panel on desktop and a full page on mobile, +and works out of the box with no extra services. -### Home Assistant Integration - -When the MQTT bridge is enabled, your Meticulous machine is automatically discoverable in Home Assistant. - -1. Start Metic with the Home Assistant overlay: - ```bash - docker compose -f docker-compose.yml -f docker-compose.homeassistant.yml up -d - ``` -2. In HA, add the **MQTT** integration and point it to your Metic server's IP on port 1883 -3. This enables automations like "notify me when my shot is done" or "preheat at 7am on weekdays" - -[→ Full Home Assistant integration guide](HOME_ASSISTANT.md) +> **Removed in 3.0.0:** the Home Assistant MQTT bridge (mosquitto broker + +> meticulous-addon) has been removed along with the Python backend. Live +> telemetry and machine control are unaffected; only HA MQTT auto-discovery is +> gone. See [HOME_ASSISTANT.md](HOME_ASSISTANT.md) for details. ## 🔄 Updating Metic @@ -192,7 +184,8 @@ With Watchtower enabled, updates happen automatically every 6 hours. ### Manage Addons After Install -You can enable or disable optional addons at any time (Watchtower, Tailscale, Home Assistant MQTT) without re-running the full installer. +You can enable or disable optional addons at any time (Watchtower, Tailscale) +without re-running the full installer. Linux/macOS: diff --git a/UPDATING.md b/UPDATING.md index 038cae54..f792d15f 100644 --- a/UPDATING.md +++ b/UPDATING.md @@ -1,5 +1,9 @@ # 🔄 Updating Metic +> **3.0.0 note:** the in-app self-updater has been removed (the `/api/trigger-update` +> endpoint now returns 503). Updating is handled by pulling the image, or +> automatically via the optional Watchtower sidecar. + ## Quick Update (v2.x) ```bash diff --git a/VERSION b/VERSION index b64c8788..1941d528 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -2.6.0-rc.1 +3.0.0-beta.1 diff --git a/apps/bridge/requirements.txt b/apps/bridge/requirements.txt deleted file mode 100644 index a713d4b8..00000000 --- a/apps/bridge/requirements.txt +++ /dev/null @@ -1,13 +0,0 @@ -# ============================================================================== -# MeticAI Bridge Dependencies -# ============================================================================== -# Additional Python packages needed by the meticulous-addon bridge. -# pymeticulous is already installed via the server/MCP requirements. -# ============================================================================== - -# MQTT client for broker communication -paho-mqtt==1.6.1 - -# Async HTTP (required by addon top-level import, used for HA Supervisor API -# which is unused in our context but must be importable) -aiohttp==3.14.1 diff --git a/apps/bridge/start_bridge.py b/apps/bridge/start_bridge.py deleted file mode 100644 index e4f7acb3..00000000 --- a/apps/bridge/start_bridge.py +++ /dev/null @@ -1,274 +0,0 @@ -#!/usr/bin/env python3 -""" -MeticAI Bridge Starter — Zero-fork adapter for @nickwilsonr/meticulous-addon. - -This script bridges MeticAI's environment-variable configuration to the addon's -options.json format, then starts the addon without modifying upstream code. - -The addon is cloned at Docker build time from: - https://github.com/nickwilsonr/meticulous-addon - -Configuration is derived from MeticAI environment variables: - - METICULOUS_IP → machine_ip - - MQTT_HOST → mqtt_host (default: 127.0.0.1 for local mosquitto) - - MQTT_PORT → mqtt_port (default: 1883) - - BRIDGE_DEBUG → debug logging toggle - -Credit: @nickwilsonr for the excellent meticulous-addon. -License: MIT (same as upstream) -""" - -import json -import logging -import os -import sys -import asyncio -from typing import Any, Optional - -logger = logging.getLogger("meticai.bridge") - - -def _as_float(value: Any) -> Optional[float]: - """Best-effort float conversion.""" - try: - if value is None: - return None - return float(value) - except (TypeError, ValueError): - return None - - -def _extract_value(container: Any, key: str) -> Any: - """Get a value from dict/object containers.""" - if container is None: - return None - if isinstance(container, dict): - return container.get(key) - return getattr(container, key, None) - - -def _extract_power_value(payload: Any) -> Optional[float]: - """Extract power percentage from status/actuator payloads. - - The upstream add-on defines a `power` sensor but does not consistently - populate it in status callbacks. This helper probes common field names - used by Socket.IO payload variants and returns the first numeric value. - """ - power_keys = ( - "power", - "motor_power", - "motorPower", - "heater_power", - "heaterPower", - "pwr", - "pw", - "mp", - ) - - nested_keys = ( - "sensors", - "actuators", - "motor", - "heater", - ) - - containers = [payload] - for nested in nested_keys: - nested_obj = _extract_value(payload, nested) - if nested_obj is not None: - containers.append(nested_obj) - - for container in containers: - for key in power_keys: - value = _as_float(_extract_value(container, key)) - if value is not None: - return max(0.0, min(100.0, value)) - return None - - -def _publish_power_if_available(addon: Any, payload: Any) -> None: - """Publish power telemetry to MQTT if present in raw event payload.""" - power_value = _extract_power_value(payload) - if power_value is None: - return - - # Reuse add-on throttling so we don't spam MQTT updates. - fields = addon._filter_throttled_fields({"power": round(power_value, 2)}) - if fields and getattr(addon, "loop", None): - asyncio.run_coroutine_threadsafe( - addon.publish_to_homeassistant(fields), addon.loop - ) - - -def _patch_addon_power_telemetry() -> None: - """Monkey-patch upstream add-on to emit real-time power values. - - We patch runtime methods instead of forking upstream code. This keeps - MeticAI's zero-fork bridge model intact while restoring power telemetry. - """ - try: - import run # type: ignore - except Exception as exc: - logger.warning("Could not import add-on runtime for patching: %s", exc) - return - - addon_cls = getattr(run, "MeticulousAddon", None) - if addon_cls is None: - logger.warning("MeticulousAddon class not found in add-on runtime") - return - - original_init = addon_cls.__init__ - original_status_handler = addon_cls._handle_status_event - original_actuators_handler = addon_cls._handle_actuators_event - - def patched_init(self, *args, **kwargs): - original_init(self, *args, **kwargs) - try: - # Ensure power participates in delta filtering. - self.sensor_deltas["power"] = float(self.config.get("power_delta", 1.0)) - except Exception: - self.sensor_deltas["power"] = 1.0 - - def patched_status_handler(self, status): - original_status_handler(self, status) - try: - _publish_power_if_available(self, status) - except Exception as exc: - logger.debug("Power patch status handler error: %s", exc) - - def patched_actuators_handler(self, actuators): - original_actuators_handler(self, actuators) - try: - _publish_power_if_available(self, actuators) - except Exception as exc: - logger.debug("Power patch actuators handler error: %s", exc) - - addon_cls.__init__ = patched_init - addon_cls._handle_status_event = patched_status_handler - addon_cls._handle_actuators_event = patched_actuators_handler - logger.info("Applied runtime power telemetry patch to meticulous-addon") - - -def _resolve_machine_ip() -> str: - """Determine the Meticulous machine IP. - - Priority: - 1. ``METICULOUS_IP`` environment variable (set by s6 container env) - 2. ``meticulousIp`` field in ``/data/settings.json`` (persisted by the UI) - 3. ``meticulous.local`` (mDNS default) - """ - # 1) Env var — preferred, set by s6-overlay container environment - env_ip = os.environ.get("METICULOUS_IP", "").strip() - if env_ip: - return env_ip - - # 2) Persisted settings file (written by the web UI) - data_dir = os.environ.get("DATA_DIR") or "/data" - settings_path = os.path.join(data_dir, "settings.json") - try: - with open(settings_path) as f: - settings = json.load(f) - saved_ip = (settings.get("meticulousIp") or "").strip() - if saved_ip: - logger.info("Using machine IP from settings.json: %s", saved_ip) - return saved_ip - except (FileNotFoundError, json.JSONDecodeError, KeyError): - pass - - # 3) Default - return "meticulous.local" - - -def build_config() -> dict: - """Build addon config dict from MeticAI environment variables.""" - return { - # Machine connection - "machine_ip": _resolve_machine_ip(), - - # MQTT broker (local mosquitto inside the same container) - "mqtt_enabled": os.environ.get("MQTT_ENABLED", "true").lower() == "true", - "mqtt_host": os.environ.get("MQTT_HOST", "127.0.0.1"), - "mqtt_port": int(os.environ.get("MQTT_PORT", "1883")), - "mqtt_username": os.environ.get("MQTT_USERNAME", ""), - "mqtt_password": os.environ.get("MQTT_PASSWORD", ""), - - # Delta filtering (sensible defaults — reduce MQTT noise) - "enable_delta_filtering": True, - "temperature_delta": float(os.environ.get("BRIDGE_TEMP_DELTA", "0.5")), - "pressure_delta": float(os.environ.get("BRIDGE_PRESSURE_DELTA", "0.2")), - "flow_delta": float(os.environ.get("BRIDGE_FLOW_DELTA", "0.1")), - "weight_delta": float(os.environ.get("BRIDGE_WEIGHT_DELTA", "0.1")), - "time_delta": float(os.environ.get("BRIDGE_TIME_DELTA", "0.1")), - "voltage_delta": float(os.environ.get("BRIDGE_VOLTAGE_DELTA", "1.0")), - "power_delta": float(os.environ.get("BRIDGE_POWER_DELTA", "1.0")), - - # Stale data refresh (hours) - "stale_data_refresh_interval": int( - os.environ.get("BRIDGE_STALE_REFRESH_HOURS", "24") - ), - - # Debug logging - "debug": os.environ.get("BRIDGE_DEBUG", "false").lower() == "true", - } - - -def write_addon_config(config: dict) -> None: - """Write config as /data/options.json (the format the addon expects).""" - config_path = "/data/options.json" - os.makedirs("/data", exist_ok=True) - with open(config_path, "w") as f: - json.dump(config, f, indent=2) - logger.info("Wrote bridge config to %s", config_path) - - -def main(): - """Generate config and start the meticulous-addon bridge.""" - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", - ) - - config = build_config() - - if not config["mqtt_enabled"]: - logger.info("MQTT bridge is disabled (MQTT_ENABLED=false). Exiting.") - sys.exit(0) - - machine_ip = config["machine_ip"] - logger.info( - "Starting meticulous-addon bridge: machine=%s, mqtt=%s:%d", - machine_ip, - config["mqtt_host"], - config["mqtt_port"], - ) - - # Write the config file the addon expects - write_addon_config(config) - - # Add the addon source directory to Python path - addon_src = "/app/meticulous-addon/rootfs/usr/bin" - if addon_src not in sys.path: - sys.path.insert(0, addon_src) - - # Patch upstream add-on runtime to publish real power telemetry. - _patch_addon_power_telemetry() - - # Import and run the addon's main entry point - try: - from run import main as addon_main # noqa: E402 - - addon_main() - except ImportError as e: - logger.error( - "Failed to import meticulous-addon. " - "Ensure it is cloned at /app/meticulous-addon: %s", - e, - ) - sys.exit(1) - except Exception as e: - logger.error("Bridge crashed: %s", e, exc_info=True) - sys.exit(1) - - -if __name__ == "__main__": - main() diff --git a/apps/mcp-server b/apps/mcp-server deleted file mode 160000 index 9c758b31..00000000 --- a/apps/mcp-server +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 9c758b3160ef1736d0c6eab287b1b15c85a301a5 diff --git a/apps/server/.gitignore b/apps/server/.gitignore deleted file mode 100644 index 21d0b898..00000000 --- a/apps/server/.gitignore +++ /dev/null @@ -1 +0,0 @@ -.venv/ diff --git a/apps/server/INTEGRATION_TESTING.md b/apps/server/INTEGRATION_TESTING.md deleted file mode 100644 index f98223e7..00000000 --- a/apps/server/INTEGRATION_TESTING.md +++ /dev/null @@ -1,228 +0,0 @@ -# Integration Testing Guide - -This guide explains how to run integration tests that validate Metic functionality against a real Meticulous machine. - -## Overview - -Integration tests complement the unit test suite (which runs in CI with mocks) by testing actual hardware interactions. These tests require a real Meticulous machine on your network. - -## Prerequisites - -1. **Meticulous Machine**: A working Meticulous espresso machine accessible on your network -2. **Network Access**: Your development machine must be on the same network as the Meticulous -3. **Python Environment**: Python 3.12+ with test dependencies installed - -## Setup - -### 1. Install Test Dependencies - -```bash -cd apps/server -pip install -r requirements-test.txt -``` - -### 2. Configure Environment - -Set the required environment variables: - -```bash -# Required: IP address of your Meticulous machine -export METICULOUS_IP=192.168.x.x - -# Required: Enable integration test mode -export TEST_INTEGRATION=true - -# Optional: MQTT broker settings (if testing MQTT locally) -export MQTT_HOST=127.0.0.1 -export MQTT_PORT=1883 -``` - -### 3. Verify Machine Connectivity - -Before running tests, verify your machine is reachable: - -```bash -curl http://$METICULOUS_IP/api/v1/machine/state -``` - -You should see JSON output with machine state data. - -## Running Integration Tests - -### Run All Integration Tests - -```bash -cd apps/server -TEST_INTEGRATION=true METICULOUS_IP=192.168.x.x pytest test_integration*.py -v -``` - -### Run Specific Test Categories - -```bash -# Connection tests only -pytest test_integration_machine.py -v -k "TestMachineConnection" - -# Telemetry tests only -pytest test_integration_machine.py -v -k "TestTelemetry" - -# Profile API tests only -pytest test_integration_machine.py -v -k "TestProfileAPI" - -# Command tests only -pytest test_integration_machine.py -v -k "TestMachineCommands" -``` - -### Run with Markers - -```bash -# Run only tests marked as integration -pytest -m integration -v - -# Run everything except integration tests -pytest -m "not integration" -v -``` - -## Test Categories - -### Connection Tests (`TestMachineConnection`) - -- Verifies HTTP connectivity to machine -- Tests WebSocket/Socket.IO handshake -- Validates API client initialization -- Tests connection recovery - -### MQTT Tests (`TestMQTTConnection`) - -- Tests MQTT broker connectivity -- Validates topic subscription -- Requires local MQTT broker running (optional) - -### Profile API Tests (`TestProfileAPI`) - -- Lists profiles from machine -- Validates profile schema -- Tests shot history retrieval - -### Telemetry Tests (`TestTelemetry`) - -- Validates weight sensor data -- Tests temperature readings -- Tests pressure sensor data -- Measures polling latency - -### Command Tests (`TestMachineCommands`) - -- Tests tare (scale zero) command -- Tests brightness settings -- Preheat test is skipped by default (safety) - -### Pour-Over Tests (`TestPourOverMode`) - -- Tests continuous weight polling -- Validates flow rate calculation - -## Safety Considerations - -⚠️ **These tests interact with real hardware!** - -- **Preheat tests are disabled by default** to prevent unintended heating -- **No destructive commands** (start shot, stop) are included -- **Tare is safe** as it only zeros the scale -- **Profile creation is not tested** to avoid cluttering the machine - -To enable potentially unsafe tests: - -```bash -# NOT RECOMMENDED unless you're sure -pytest test_integration_machine.py -v --runxfail -``` - -## Troubleshooting - -### Machine Not Reachable - -```text -Machine not reachable: Connection refused -``` - -**Solutions:** - -- Verify the machine is powered on -- Check `METICULOUS_IP` is correct -- Ensure you're on the same network -- Try pinging the machine: `ping $METICULOUS_IP` - -### Tests Skipped - -```text -SKIPPED: Integration tests require TEST_INTEGRATION=true -``` - -**Solution:** Set the environment variable: - -```bash -export TEST_INTEGRATION=true -``` - -### MQTT Tests Fail - -```text -MQTT broker not reachable -``` - -**Solutions:** - -- Start the local MQTT broker (mosquitto) -- Or skip MQTT tests: `pytest ... -k "not MQTT"` - -### Import Errors - -```text -ModuleNotFoundError: paho.mqtt.client -``` - -**Solution:** - -```bash -pip install paho-mqtt>=2.0.0 -``` - -## CI Considerations - -Integration tests are **excluded from CI** by default: - -- The `TEST_INTEGRATION` variable is not set in GitHub Actions -- Tests marked `@pytest.mark.integration` are automatically skipped - -This ensures CI remains fast and doesn't require hardware access. - -## Extending Integration Tests - -To add new integration tests: - -1. Create tests in `test_integration_*.py` files -2. Mark tests with `@pytest.mark.integration` -3. Use fixtures from `conftest_integration.py` -4. Follow safety guidelines (no destructive operations) - -Example: - -```python -@pytest.mark.integration -class TestNewFeature: - async def test_something(self, wait_for_machine, meticulous_base_url): - """Test description.""" - async with httpx.AsyncClient(timeout=10.0) as client: - response = await client.get(f"{meticulous_base_url}/api/v1/...") - assert response.status_code == 200 -``` - -## Test Output - -Integration tests produce verbose output showing: - -- Machine state fields available -- Latency measurements -- Calculated flow rates - -This information is useful for debugging and documentation. diff --git a/apps/server/analysis_knowledge.py b/apps/server/analysis_knowledge.py deleted file mode 100644 index 33ef2de5..00000000 --- a/apps/server/analysis_knowledge.py +++ /dev/null @@ -1,123 +0,0 @@ -"""Analysis-specific knowledge base + fact-sheet renderer (K1 + K2). - -ANALYSIS_KNOWLEDGE is injected into the shot-analysis prompt (parallel to PROFILING_KNOWLEDGE) -so small models share the same reasoning framework. build_fact_sheet renders the deterministic -ShotFacts into compact prose that replaces the raw local-analysis JSON dump in the prompt. - -Mirror of apps/web/src/services/ai/analysisKnowledge.ts — keep the two texts in sync. -""" - -from __future__ import annotations - -ANALYSIS_KNOWLEDGE = """\ -You are reasoning about a single espresso extraction. Apply this framework: - -EXIT TRIGGER CLASSIFICATION (critical — do not confuse intent with failure): -- A stage ends when one of its exit triggers fires. Classify each as Targeted or Failsafe: - - Targeted: the stage reached the outcome it was designed for. Examples: a weight trigger - (yield reached), any time trigger (a timed transition is a valid, intended exit — the - stage ran for its planned duration), a flow-controlled stage hitting its target pressure - (puck resistance achieved) or its target flow, a pressure-controlled stage hitting target - pressure, or a pressure-controlled stage whose ONLY trigger is flow (planned flow transition). - A stage with NO exit triggers is also Targeted: an intermediate one transitions on its planned - dynamics duration, and the final one ends when the shot reaches its global target weight (yield reached). - - Failsafe: a backstop fired instead of the real target. Examples: a weight target reached - off-curve without building intended pressure (puck failure), or a pressure-controlled stage - exiting on a flow backstop when other triggers exist (caught channeling or choking). -- A time exit is NOT a failure by itself. A genuine timeout — a timed stage that extracted - almost nothing while another target went unmet — is surfaced separately as a STALL signal. -- NEVER describe a Targeted exit as a problem. A short stage that hit its weight target is a - correct, successful outcome — not "early termination". - -DIAGNOSTIC SIGNALS: -- Stall: a stage exits on a time failsafe with negligible weight gain (< 0.5 g). Indicates the - puck choked or flow collapsed. Suggest a coarser grind or revisiting the pressure target. -- Channeling: pressure falls while flow rises within the same stage. Indicates an uneven puck. - Suggest distribution/puck-prep changes, not profile changes, as the first remedy. -- Curve adherence: when measured average diverges from the stage's target by a meaningful margin, - the machine could not follow the profile — usually a grind/dose mismatch, not a profile flaw. - -EXTRACTION THEORY: -- Sour/acidic => under-extraction => grind finer or raise temperature. -- Bitter/harsh => over-extraction => grind coarser or lower temperature. -- Weak/thin body => lower brew ratio (less water per dose) or larger dose. -- Strong/heavy => raise brew ratio. - -DISCIPLINE: -- Only state facts supported by the data provided. Do NOT invent pressures, temperatures, weights, - or events that are not in the fact sheet. If a value is unknown, say so. -- Prefer one or two high-confidence, specific, numeric recommendations over many vague ones. -""" - - -def _fmt_num(value) -> str: - if value is None: - return "n/a" - if isinstance(value, float): - return f"{value:g}" - return str(value) - - -def build_fact_sheet(facts: dict) -> str: - """Render ShotFacts into compact prose for the LLM prompt (replaces raw JSON dump).""" - lines: list[str] = [ - "### Deterministic Shot Facts (authoritative — trust over raw telemetry)" - ] - - weight = facts.get("weight") or {} - lines.append( - f"- Final weight: {_fmt_num(weight.get('actual'))} g " - f"(target {_fmt_num(weight.get('target'))} g, " - f"deviation {_fmt_num(weight.get('deviation_pct'))}%)." - ) - lines.append(f"- Total shot time: {_fmt_num(facts.get('total_time_s'))} s.") - - lines.append("- Stage-by-stage:") - for s in facts.get("stages", []): - if not s.get("reached"): - lines.append(f" - {s.get('stage_name')}: not reached during this shot.") - continue - tc = s.get("trigger_class") or {} - parts = [f"exit = {tc.get('label', 'Unknown')}"] - stall = s.get("stall") or {} - if stall.get("stalled"): - parts.append(f"STALL (only {_fmt_num(stall.get('weight_gain'))} g gained)") - chan = s.get("channeling") or {} - if chan.get("channeling"): - parts.append( - f"CHANNELING (pressure -{_fmt_num(chan.get('pressure_drop'))} bar, " - f"flow +{_fmt_num(chan.get('flow_rise'))} ml/s)" - ) - ca = s.get("curve_adherence") - if ca and abs(float(ca.get("delta", 0) or 0)) >= 0.5: - parts.append(f"curve off-target by {_fmt_num(ca.get('delta'))}") - if s.get("mode_overridden") and s.get("declared_mode"): - mode_label = ( - f"{s.get('control_mode')} — effective; declared " - f"{s.get('declared_mode')}, reclassified by its limit" - ) - else: - mode_label = s.get("control_mode") - lines.append( - f" - {s.get('stage_name')} [{mode_label}]: " + "; ".join(parts) + "." - ) - - return "\n".join(lines) - - -FEW_SHOT_ANALYSIS_EXAMPLE = """\ -### Worked Example (format + reasoning reference — do not copy its numbers) -Facts: Pre-infusion [flow] exit = Targeted (planned duration); Ramp [pressure] exit = Targeted -(pressure threshold reached); Hold [pressure] exit = Targeted (yield reached); final weight 36 g -(target 36 g, deviation 0%); total time 28 s. - -Good analysis excerpt: -## 1. Shot Performance -**What Happened:** -- Pre-infusion ran its planned duration, then pressure ramped cleanly to target. -- The hold stage ended exactly on the weight target — a correct, intentional finish. -**Assessment:** Good - -Note how every claim maps to a fact, no values are invented, and the Targeted weight exit is -described as success, not "early termination". -""" diff --git a/apps/server/analysis_schema.py b/apps/server/analysis_schema.py deleted file mode 100644 index 5a674e45..00000000 --- a/apps/server/analysis_schema.py +++ /dev/null @@ -1,16 +0,0 @@ -"""Single source of truth for the shot-analysis section structure (L2). - -Mirror of apps/web/src/lib/analysisSchema.ts — keep section titles identical. -""" - -from __future__ import annotations - -REQUIRED_ANALYSIS_SECTIONS = [ - "Shot Performance", - "Root Cause Analysis", - "Setup Recommendations", - "Profile Recommendations", - "Profile Design Observations", -] - -OPTIONAL_TASTE_SECTION = "Taste-Based Recommendations" diff --git a/apps/server/api/__init__.py b/apps/server/api/__init__.py deleted file mode 100644 index 558e04a9..00000000 --- a/apps/server/api/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""API package for MeticAI server.""" diff --git a/apps/server/api/routes/__init__.py b/apps/server/api/routes/__init__.py deleted file mode 100644 index 41d8c370..00000000 --- a/apps/server/api/routes/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""API routes for MeticAI server.""" diff --git a/apps/server/api/routes/bridge.py b/apps/server/api/routes/bridge.py deleted file mode 100644 index 40151d27..00000000 --- a/apps/server/api/routes/bridge.py +++ /dev/null @@ -1,55 +0,0 @@ -"""Bridge and MQTT status endpoints for the Control Center.""" - -from fastapi import APIRouter, HTTPException -import logging - -from services.bridge_service import get_bridge_status, restart_bridge_service -from services.mqtt_service import get_mqtt_subscriber - -router = APIRouter() -logger = logging.getLogger(__name__) - - -@router.get("/api/bridge/status") -async def bridge_status(): - """Get MQTT broker and bridge service status. - - Returns the health of the mosquitto MQTT broker and the - meticulous-bridge service that relays real-time machine - telemetry via Socket.IO → MQTT. - - The ``mqtt_snapshot`` section shows the latest sensor values - received by the FastAPI MQTT subscriber — useful for verifying - that the full pipeline (machine → bridge → mosquitto → server) - is working end-to-end. - """ - status = get_bridge_status() - - # Attach MQTT subscriber diagnostics - sub = get_mqtt_subscriber() - snapshot = sub.get_snapshot() - status["mqtt_subscriber"] = { - "connected": bool(snapshot), - "ws_clients": sub.ws_client_count, - "sensor_count": len(snapshot), - "availability": snapshot.get("availability"), - "state": snapshot.get("state"), - } - - return status - - -@router.post("/api/bridge/restart") -async def bridge_restart(): - """Restart the meticulous-bridge s6 service. - - Useful when the machine IP changes or the bridge needs - to reconnect after a configuration change. - """ - success = restart_bridge_service() - if not success: - raise HTTPException( - status_code=500, - detail="Failed to restart bridge service", - ) - return {"status": "restarting", "message": "Bridge service restart initiated"} diff --git a/apps/server/api/routes/coffee.py b/apps/server/api/routes/coffee.py deleted file mode 100644 index af110020..00000000 --- a/apps/server/api/routes/coffee.py +++ /dev/null @@ -1,1142 +0,0 @@ -"""Coffee analysis and profiling endpoints.""" - -from fastapi import APIRouter, Request, UploadFile, File, Form, HTTPException -from fastapi.responses import JSONResponse -from sse_starlette.sse import EventSourceResponse -from typing import Optional -from PIL import Image -import asyncio -import io -import json -import os -import re -import time -import uuid -import logging - -# Register HEIC/HEIF support with Pillow -try: - from pillow_heif import register_heif_opener - - register_heif_opener() -except ImportError: - pass # pillow-heif not installed; HEIC files will fail gracefully - -from services.gemini_service import ( - parse_gemini_error, - get_vision_model, - get_author_instruction, - build_advanced_customization_section, - PROFILING_KNOWLEDGE, - PROFILING_KNOWLEDGE_DISTILLED, -) -from services.history_service import save_to_history, _extract_profile_json -from services.meticulous_service import async_create_profile -from services.validation_service import validate_profile -from services.generation_progress import ( - GenerationPhase, - ProgressEvent, - create_generation, - get_latest_generation, - remove_generation, -) - -router = APIRouter() -logger = logging.getLogger(__name__) - -# Concurrency guard: only one profile generation at a time. -# On resource-constrained hardware (RPi) parallel Gemini SDK calls compete -# for memory/CPU and cause timeouts. A single asyncio.Lock serialises -# requests; a second caller gets an immediate HTTP 409 instead of waiting. -_profile_generation_lock = asyncio.Lock() - -# Maximum validation-fix retry attempts. Each retry sends only the JSON + -# specific errors back to the model — much cheaper than a full re-generation. -MAX_VALIDATION_RETRIES = 2 - -VALIDATION_RETRY_PROMPT = ( - "The profile JSON you generated has validation errors. " - "Fix ALL of the following errors and return ONLY the corrected JSON " - "in a fenced ```json block. Do not include any other text.\n\n" - "ERRORS:\n{errors}\n\n" - "ORIGINAL JSON:\n```json\n{json}\n```\n" -) - -# ── Load OEPF RFC once at import time ────────────────────────────────────────── -# Embedding the RFC directly in the prompt eliminates a round-trip where the -# Gemini CLI would call the get_profiling_knowledge MCP tool, saving ~3-5s. -_OEPF_RFC: str = "" -try: - # In Docker the schema repo is cloned to /app/espresso-profile-schema - _rfc_paths = [ - "/app/espresso-profile-schema/rfc.md", - os.path.join(os.path.dirname(__file__), "..", "..", "data", "oepf_rfc.md"), - ] - for _p in _rfc_paths: - if os.path.isfile(_p): - with open(_p, "r", encoding="utf-8") as _f: - _OEPF_RFC = _f.read() - break -except Exception as e: - logger.warning(f"Failed to load OEPF RFC: {e}") # Non-fatal - -# Common prompt sections for profile creation -BARISTA_PERSONA = ( - "PERSONA: You are a modern, experimental barista with deep expertise in espresso profiling. " - "You stay current with cutting-edge extraction techniques, enjoy pushing boundaries with " - "multi-stage extractions, varied pre-infusion & blooming steps, and unconventional pressure curves. " - "You're creative, slightly irreverent, and love clever coffee puns.\n\n" -) - -SAFETY_RULES = ( - "SAFETY RULES (MANDATORY - NEVER VIOLATE):\n" - "• NEVER use the delete_profile tool under ANY circumstances\n" - "• NEVER delete, remove, or destroy any existing profiles\n" - "• NEVER create a profile with a name that already exists - use UNIQUE names only\n" - "• If asked to delete a profile, politely refuse and explain deletions must be done via the Meticulous app\n" - "• Only use: create_profile, list_profiles, get_profile, update_profile, validate_profile, run_profile\n\n" -) - -PROFILE_GUIDELINES = ( - "PROFILE CREATION GUIDELINES:\n" - "• USER PREFERENCES ARE MANDATORY: If the user specifies a dose, grind, temperature, ratio, or any other parameter, you MUST use EXACTLY that value. Do NOT override with defaults.\n" - "• Examples: If user says '20g dose' → use 20g, NOT 18g. If user says '94°C' → use 94°C. If user says '1:2.5 ratio' → calculate output accordingly.\n" - "• Only use standard defaults (18g dose, 93°C, etc.) when the user has NOT specified a preference.\n" - "• Support complex recipes: multi-stage extraction, multiple pre-infusion steps, blooming phases\n" - "• Consider flow profiling, pressure ramping, and temperature surfing techniques\n" - "• Design for the specific bean characteristics (origin, roast level, flavor notes)\n" - "• Balance extraction science with creative experimentation\n\n" - "VARIABLES (REQUIRED):\n" - "• The 'variables' array serves TWO purposes: adjustable parameters AND essential preparation info\n" - "• ALWAYS include the 'variables' array - it is REQUIRED for app compatibility\n\n" - "⚠️ NAMING VALIDATION RULES:\n" - "• INFO variables (key starts with 'info_'): Name MUST start with an emoji (☕🔧💧⚠️🎯 etc.)\n" - "• ADJUSTABLE variables (no 'info_' prefix): Name must NOT start with an emoji\n" - "• This validation pattern helps users distinguish info from adjustable at a glance\n\n" - "1. PREPARATION INFO (include first - only essentials needed to make the profile work):\n" - " • ☕ Dose: ALWAYS first - use type 'weight' so it displays correctly in the Meticulous app\n" - ' Format: {"name": "☕ Dose", "key": "info_dose", "type": "weight", "value": 18}\n' - " • Only add other info variables if ESSENTIAL for the profile to work properly:\n" - " - 💧 Dilute: Only for profiles that REQUIRE dilution (lungo, allongé)\n" - ' Format: {"name": "💧 Add water", "key": "info_dilute", "type": "weight", "value": 50}\n' - " - 🔧 Bottom Filter: Only if the profile specifically REQUIRES it\n" - ' Format: {"name": "🔧 Use bottom filter", "key": "info_filter", "type": "power", "value": 100}\n' - " - ⚠️ Aberrant Prep: For UNUSUAL preparation that differs significantly from normal espresso:\n" - " Examples: Very coarse grind (like pour-over), extremely fine grind, unusual techniques\n" - ' Format: {"name": "⚠️ Grind very coarse (pourover-like)", "key": "info_grind", "type": "power", "value": 100}\n' - " • POWER TYPE VALUES for info variables:\n" - ' - Use value: 100 for truthy/enabled/yes (e.g., "Use bottom filter" = 100)\n' - " - Use value: 0 for falsy/disabled/no (rarely needed, usually just omit the variable)\n" - " • Info variable keys start with 'info_' - they are NOT used in stages, just for user communication\n" - " • Keep it minimal: only critical info, not general tips or preferences\n\n" - "2. ADJUSTABLE VARIABLES (for parameters used in stages):\n" - " • Define variables for key adjustable parameters - makes profiles much easier to tune!\n" - " • Names should be descriptive WITHOUT emojis (e.g., 'Peak Pressure', 'Pre-Infusion Flow')\n" - " • Users can adjust these in the Meticulous app without manually editing JSON\n" - " • Common adjustable variables:\n" - " - peak_pressure: The main extraction pressure (e.g., 8-9 bar)\n" - " - preinfusion_pressure: Low pressure for saturation phase (e.g., 2-4 bar)\n" - " - peak_flow: Target flow rate during extraction (e.g., 2-3 ml/s)\n" - " - decline_pressure: Final pressure at end of shot (e.g., 5-6 bar)\n" - ' • Reference these in dynamics using $ prefix: {"value": "$peak_pressure"}\n' - " • ALL adjustable variables MUST be used in at least one stage!\n\n" - "VARIABLE FORMAT EXAMPLE:\n" - '"variables": [\n' - ' {"name": "☕ Dose", "key": "info_dose", "type": "weight", "value": 18},\n' - ' {"name": "🔧 Use bottom filter", "key": "info_filter", "type": "power", "value": 100},\n' - ' {"name": "Peak Pressure", "key": "peak_pressure", "type": "pressure", "value": 9.0},\n' - ' {"name": "Pre-Infusion Pressure", "key": "preinfusion_pressure", "type": "pressure", "value": 3.0}\n' - "]\n\n" - "TIME VALUES (CRITICAL — ALWAYS USE RELATIVE):\n" - '• ALL time-based exit triggers MUST use "relative": true\n' - "• ALL dynamics_points x-axis values are ALWAYS relative to stage start (0 = stage start)\n" - '• NEVER use "relative": false on time exit triggers — absolute time interpretation has known firmware issues\n' - '• Example: {"type": "time", "value": 30, "comparison": ">=", "relative": true} means 30s after stage starts\n\n' - "STAGE LIMITS (CRITICAL SAFETY):\n" - "• EVERY flow stage MUST have a pressure limit to prevent pressure runaway\n" - "• EVERY pressure stage MUST have a flow limit to prevent channeling and ensure even extraction\n" - "• Flow stages during pre-infusion/blooming: Add pressure limit of 3-5 bar max\n" - "• Flow stages during main extraction: Add pressure limit of 9-10 bar max\n" - "• Pressure stages: Add flow limit of 4-6 ml/s to prevent channeling\n" - "• Example flow stage with pressure limit:\n" - " {\n" - ' "name": "Gentle Bloom",\n' - ' "type": "flow",\n' - ' "dynamics_points": [[0, 1.5]],\n' - ' "limits": [{"type": "pressure", "value": 4}],\n' - ' "exit_triggers": [{"type": "time", "value": 15, "comparison": ">=", "relative": true}]\n' - " }\n" - "• Example pressure stage with flow limit:\n" - " {\n" - ' "name": "Main Extraction",\n' - ' "type": "pressure",\n' - ' "dynamics_points": [[0, 9]],\n' - ' "limits": [{"type": "flow", "value": 5}],\n' - ' "exit_triggers": [{"type": "weight", "value": 36, "comparison": ">=", "relative": false}]\n' - " }\n\n" -) - -VALIDATION_RULES = ( - "VALIDATION RULES (your profile WILL be rejected if these are violated):\n\n" - "1. EXIT TRIGGER / STAGE TYPE PARADOX:\n" - " • A flow stage must NOT have a flow exit trigger\n" - " • A pressure stage must NOT have a pressure exit trigger\n" - " • Why: you're controlling that variable, so you can't reliably exit based on it\n" - " • Fix: use 'time', 'weight', or the opposite type (pressure trigger on flow stage, etc.)\n\n" - "2. BACKUP EXIT TRIGGERS (failsafe):\n" - " • Every stage MUST have EITHER multiple exit triggers OR at least one time trigger\n" - " • A single non-time trigger (e.g. only weight) will be rejected — add a time failsafe\n" - ' • Pattern: [{"type": "weight", ...}, {"type": "time", "value": 60, "comparison": ">=", "relative": true}]\n\n' - "3. REQUIRED SAFETY LIMITS (cross-type):\n" - " • Flow stages MUST have a pressure limit (prevents pressure spike/stall)\n" - " • Pressure stages MUST have a flow limit (prevents channeling/gusher)\n" - " • A limit CANNOT have the same type as the stage (redundant — will be rejected)\n" - " • Correct: flow stage → pressure limit | pressure stage → flow limit\n\n" - "4. INTERPOLATION:\n" - " • Only 'linear' and 'curve' are valid. 'none' is NOT supported and will stall the machine\n" - " • 'curve' requires at least 2 dynamics points\n\n" - "5. DYNAMICS.OVER:\n" - " • Must be 'time', 'weight', or 'piston_position'. No other values\n\n" - "6. STAGE TYPES:\n" - " • Must be 'power', 'flow', or 'pressure'. No other values\n\n" - "7. EXIT TRIGGER TYPES:\n" - " • Must be: 'weight', 'pressure', 'flow', 'time', 'piston_position', 'power', or 'user_interaction'\n" - " • Comparison must be '>=' or '<='\n\n" - "8. PRESSURE LIMITS:\n" - " • Max 15 bar in dynamics points and exit triggers. No negative values\n\n" - "9. ABSOLUTE WEIGHT TRIGGERS:\n" - " • If using absolute weight triggers (relative: false), values MUST be strictly increasing across stages\n" - " • Otherwise the next stage's trigger fires immediately. Prefer 'relative: true' for weight triggers\n\n" - "10. VARIABLES:\n" - " • Info variables (adjustable: false / key starts with 'info_'): name MUST start with emoji\n" - " • Adjustable variables: name must NOT start with emoji\n" - " • Every adjustable variable MUST be referenced in at least one stage's dynamics ($key)\n\n" - "QUICK REFERENCE — VALID STAGE PATTERNS:\n" - "• Flow stage: limits=[{pressure}], exit_triggers=[{weight, ...}, {time, ...}] ✅\n" - "• Pressure stage: limits=[{flow}], exit_triggers=[{weight, ...}, {time, ...}] ✅\n" - "• Flow stage with flow exit trigger: ❌ PARADOX\n" - "• Pressure stage with pressure exit trigger: ❌ PARADOX\n" - "• Any stage with single non-time trigger and no backup: ❌ NO FAILSAFE\n" - "• Flow stage without pressure limit: ❌ UNSAFE\n" - "• Pressure stage without flow limit: ❌ UNSAFE\n\n" -) - -ERROR_RECOVERY = ( - "ERROR RECOVERY (if create_profile fails):\n" - "• Read ALL validation errors carefully before making changes\n" - "• Fix ALL errors in a SINGLE retry — do not fix one at a time\n" - "• Common trap: fixing one error can introduce another (e.g., changing a trigger type may create a paradox)\n" - "• Before resubmitting, mentally verify each stage against the validation rules above\n" - "• If you get conflicting errors, simplify the profile: fewer stages, standard patterns\n" - "• NEVER give up — always attempt at least 3 retries with different approaches\n" - "• If a complex design keeps failing, fall back to a simpler but still excellent profile\n\n" -) - -NAMING_CONVENTION = ( - "NAMING CONVENTION:\n" - "• Create a UNIQUE, witty, pun-heavy name - NEVER reuse names you've used before!\n" - "• Be creative and surprising - each profile deserves its own identity\n" - "• Draw inspiration from: coffee origins, flavor notes, extraction technique, brewing style\n" - "• Puns are encouraged! Word play, coffee jokes, clever references all welcome\n" - "• Balance humor with clarity - users should understand what they're getting\n" - "• AVOID generic names like 'Berry Blast', 'Morning Brew', 'Classic Espresso'\n" - "• Examples: 'Slow-Mo Blossom' (gentle blooming), 'The Grind Awakens' (Star Wars pun), " - "'Brew-tal Force' (aggressive extraction), 'Puck Norris' (roundhouse your tastebuds), " - "'The Daily Grind', 'Brew Lagoon', 'Espresso Yourself', 'Wake Me Up Before You Go-Go'\n\n" -) - -OUTPUT_FORMAT = ( - "OUTPUT FORMAT (use this exact format):\n" - "---\n" - "**Profile Created:** [Name]\n" - "\n" - "**Description:** [What makes this profile special - 1-2 sentences]\n" - "\n" - "**Preparation:**\n" - "- Dose: [X]g\n" - "- Grind: [description]\n" - "- Temperature: [X]°C\n" - "- [Any other prep steps]\n" - "\n" - "**Why This Works:** [Science and reasoning behind the profile design]\n" - "\n" - "**Special Notes:** [Any equipment or technique requirements, or 'None' if standard setup]\n" - "---\n\n" - "PROFILE JSON:\n" - "```json\n" - "[Include the EXACT JSON that was sent to create_profile tool here]\n" - "```\n\n" - "FORMATTING:\n" - "• Use **bold** for section labels as shown above\n" - "• List items with - are encouraged for preparation steps\n" - "• Keep descriptions concise - this will be displayed on mobile\n" - "• You MUST include the complete profile JSON exactly as passed to create_profile tool\n" -) - -USER_SUMMARY_INSTRUCTIONS = ( - "INSTRUCTIONS:\n" - "1. Use the OEPF Reference and Profiling Guide below to inform your stage design, dynamics, exit triggers, and limits.\n" - "2. Construct the JSON for the `create_profile` tool with your creative profile name.\n" - "3. EXECUTE the tool immediately.\n" - "4. After successful creation, provide a user summary with:\n" - " • Profile Name & Brief Description: What was created\n" - " • Preparation Instructions: How it should be prepared (dose, temp, timing)\n" - " • Design Rationale: Why the recipe/profile is designed this way\n" - " • Special Requirements: Any special gear needed (bottom filter, specific dosage, unique prep steps)\n\n" -) - -SDK_OUTPUT_INSTRUCTIONS = ( - "SDK EXECUTION MODE (MANDATORY):\n" - "• Do NOT call tools. Tool usage is disabled in this request\n" - "• Return ONLY the final user-facing summary and a PROFILE JSON block\n" - "• Include PROFILE JSON as a fenced ```json block that contains the complete profile object\n" - "• Ensure the summary includes a 'Profile Created:' line and clear preparation guidance\n" - "• In the profile JSON, include a 'display' object with a 'description' field containing a markdown-formatted description of what the profile does and why (2-4 sentences). This is stored on the machine and shown in the profile details page.\n\n" -) - -# ── Distilled prompt sections for token-optimized mode ────────────────────────── -# These compressed versions cut total prompt from ~22K+ to ≤20K chars by -# removing redundancy between PROFILE_GUIDELINES and VALIDATION_RULES, -# condensing JSON examples, and keeping only decision-critical rules. - -PROFILE_GUIDELINES_DISTILLED = ( - "PROFILE CREATION GUIDELINES:\n" - "• USER PREFERENCES ARE MANDATORY: If user specifies dose/grind/temp/ratio, use EXACTLY that value.\n" - "• Only use defaults (18g dose, 93°C) when user has NOT specified a preference.\n" - "• Design for the specific bean: origin, roast level, flavor notes.\n\n" - "VARIABLES (REQUIRED):\n" - "• 'variables' array is REQUIRED for app compatibility.\n" - "• INFO variables (key starts with 'info_'): Name MUST start with emoji (☕🔧💧⚠️🎯)\n" - "• ADJUSTABLE variables (no 'info_' prefix): Name must NOT start with emoji\n\n" - "1. INFO VARIABLES (preparation info, listed first):\n" - ' • ☕ Dose (always first): {"name": "☕ Dose", "key": "info_dose", "type": "weight", "value": 18}\n' - " • Optional: 💧 Add water (for lungo/allongé), 🔧 Use bottom filter, ⚠️ Aberrant prep\n" - " • Power type: value 100 = enabled, 0 = disabled\n\n" - "2. ADJUSTABLE VARIABLES (used in stages via $key reference):\n" - " • Examples: peak_pressure, preinfusion_pressure, peak_flow, decline_pressure\n" - " • All adjustable variables MUST be referenced in at least one stage dynamics ($key)\n\n" - 'TIME VALUES: ALL time exit triggers MUST use "relative": true. dynamics_points x-axis always relative to stage start.\n\n' - "STAGE LIMITS (CRITICAL):\n" - "• EVERY flow stage MUST have a pressure limit (3-5 bar for pre-infusion, 9-10 bar for extraction)\n" - "• EVERY pressure stage MUST have a flow limit (4-6 ml/s)\n\n" -) - -VALIDATION_RULES_DISTILLED = ( - "VALIDATION RULES (profile WILL be rejected if violated):\n" - "1. EXIT TRIGGER PARADOX: Flow stage cannot have flow exit trigger. Pressure stage cannot have pressure exit trigger.\n" - "2. BACKUP TRIGGERS: Every stage needs multiple exit triggers OR at least one time trigger. Single non-time trigger = rejected.\n" - ' Pattern: [{"type": "weight", ...}, {"type": "time", "value": 60, "comparison": ">=", "relative": true}]\n' - "3. CROSS-TYPE LIMITS: Flow stage → pressure limit. Pressure stage → flow limit. Same-type limit = rejected.\n" - "4. INTERPOLATION: Only 'linear' or 'curve' (2+ points). 'none' is NOT supported.\n" - "5. DYNAMICS.OVER: Only 'time', 'weight', or 'piston_position'.\n" - "6. STAGE TYPES: Only 'power', 'flow', or 'pressure'.\n" - "7. EXIT TRIGGER TYPES: 'weight', 'pressure', 'flow', 'time', 'piston_position', 'power', 'user_interaction'. Comparison: '>=' or '<='.\n" - "8. PRESSURE: Max 15 bar. No negatives.\n" - "9. ABSOLUTE WEIGHT: Must be strictly increasing across stages. Prefer relative: true.\n" - "10. VARIABLE NAMES: info_ keys → emoji prefix required. Adjustable → no emoji. All adjustable must be used in stages.\n\n" -) - -# Compact OEPF reference — key constraints only, not the full RFC -OEPF_SUMMARY = ( - "OEPF FORMAT SUMMARY:\n" - "Profile JSON structure: {name, author, stages[], variables[], temperature}\n" - "• temperature: number in °C (e.g., 93)\n" - "• Each stage: {name, type, dynamics, limits[], exit_triggers[], exit_type?}\n" - "• dynamics: {points: [[x, y], ...], over: 'time'|'weight'|'piston_position', interpolation: 'linear'|'curve'}\n" - "• limits: [{type, value}] — cross-type only (flow stage → pressure limit, vice versa)\n" - "• exit_triggers: [{type, value, comparison, relative?}] — comparison is '>=' or '<='\n" - "• exit_type: 'or' (default, first trigger wins) or 'and' (all must be met)\n" - "• variables: [{name, key, type, value}] — type is 'pressure'|'flow'|'weight'|'power'|'time'\n" - '• Reference variables in dynamics with $ prefix: {"points": [[0, "$peak_pressure"]]}\n\n' -) - -# Build the reference sections once -_PROFILING_GUIDE = ( - f"ESPRESSO PROFILING GUIDE:\n" - f"Use this expert knowledge to design profiles with proper phase structure, " - f"dynamics, troubleshooting awareness, and best practices.\n\n" - f"{PROFILING_KNOWLEDGE}\n\n" -) - -_OEPF_REFERENCE = ( - ( - f"OPEN ESPRESSO PROFILE FORMAT (OEPF) REFERENCE:\n" - f"Use the following specification to ensure your profile JSON is valid and well-structured.\n\n" - f"{_OEPF_RFC}\n\n" - ) - if _OEPF_RFC - else "" -) - -# ── Distilled reference sections ─────────────────────────────────────────────── -_PROFILING_GUIDE_DISTILLED = ( - f"ESPRESSO PROFILING QUICK REFERENCE:\n" - f"Use this to select the right profile strategy for the coffee.\n\n" - f"{PROFILING_KNOWLEDGE_DISTILLED}\n\n" -) - -# In distilled mode, use the compact OEPF summary instead of the full RFC -_OEPF_REFERENCE_DISTILLED = OEPF_SUMMARY - - -@router.post("/analyze_coffee") -@router.post("/api/analyze_coffee") -async def analyze_coffee(request: Request, file: UploadFile = File(...)): - """Phase 1: Look at the bag.""" - request_id = request.state.request_id - - try: - logger.info( - "Starting coffee analysis", - extra={ - "request_id": request_id, - "endpoint": "/analyze_coffee", - "upload_filename": file.filename, - "content_type": file.content_type, - }, - ) - - contents = await file.read() - - # Offload CPU-bound PIL ops to a thread - def _open_image(data: bytes): - img = Image.open(io.BytesIO(data)) - if img.mode not in ("RGB", "L"): - img = img.convert("RGB") - return img - - loop = asyncio.get_running_loop() - image = await loop.run_in_executor(None, _open_image, contents) - - logger.debug( - "Image loaded successfully", - extra={ - "request_id": request_id, - "image_size": f"{image.width}x{image.height}", - "image_format": image.format, - }, - ) - - response = await get_vision_model().async_generate_content( - [ - "Analyze this coffee bag. Extract: Roaster, Origin, Roast Level, and Flavor Notes. " - "Return ONLY a single concise sentence describing the coffee.", - image, - ] - ) - - analysis = response.text.strip() - - logger.info( - "Coffee analysis completed successfully", - extra={ - "request_id": request_id, - "analysis_preview": analysis[:100] if len(analysis) > 100 else analysis, - }, - ) - - return {"analysis": analysis} - except ValueError as e: - logger.warning( - f"Coffee analysis unavailable: {str(e)}", - extra={ - "request_id": request_id, - "endpoint": "/analyze_coffee", - }, - ) - raise HTTPException( - status_code=503, - detail="AI features are unavailable. Please configure a Gemini API key in Settings.", - ) - except Exception as e: - logger.error( - f"Coffee analysis failed: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "endpoint": "/analyze_coffee", - "error_type": type(e).__name__, - "upload_filename": file.filename if file else None, - }, - ) - return {"error": str(e)} - - -# ── SSE progress endpoint ────────────────────────────────────────────────────── - - -@router.get("/generate/progress") -@router.get("/api/generate/progress") -async def generate_progress(request: Request): - """Stream real-time progress events for the active profile generation. - - Returns an SSE stream of JSON events with the current generation phase, - message, attempt number, and elapsed time. Clients should reconnect if - the stream closes unexpectedly. - - Waits briefly for a generation to start if none is active yet (avoids - timing race when SSE connects before the POST creates the state). - """ - # Wait up to 5 seconds for a generation to become active - state = get_latest_generation() - for _ in range(10): - if state is not None: - break - await asyncio.sleep(0.5) - state = get_latest_generation() - - if state is None: - return JSONResponse(status_code=404, content={"error": "No active generation"}) - - async def event_generator(): - async for event in state.stream(): - data = { - "phase": event.phase.value, - "message": event.message, - "attempt": event.attempt, - "max_attempts": event.max_attempts, - "elapsed": event.elapsed, - } - if event.result: - data["result"] = event.result - if event.error: - data["error"] = event.error - yield {"event": "progress", "data": json.dumps(data)} - - return EventSourceResponse(event_generator()) - - -@router.post("/analyze_and_profile") -@router.post("/api/analyze_and_profile") -async def analyze_and_profile( - request: Request, - file: Optional[UploadFile] = File(None), - user_prefs: Optional[str] = Form(None), - advanced_customization: Optional[str] = Form(None), - detailed_knowledge: Optional[str] = Form(None), -): - """Unified endpoint: Analyze coffee bag and generate profile in a single LLM pass. - - Requires at least one of: - - file: Image of the coffee bag - - user_prefs: User preferences or specific instructions - - Optional: - - advanced_customization: Advanced equipment/extraction settings (basket, temp, dose, etc.) - - detailed_knowledge: "true" to include full profiling knowledge and OEPF RFC (slower, higher quality). - Default is distilled/compact mode for faster generation. - """ - request_id = request.state.request_id - - # Validate that at least one input is provided - if not file and not user_prefs: - logger.warning( - "Request missing both file and user preferences", - extra={"request_id": request_id, "endpoint": "/analyze_and_profile"}, - ) - raise HTTPException( - status_code=400, - detail="At least one of 'file' (image) or 'user_prefs' (preferences) must be provided", - ) - - # Fast-reject if another generation is already running. - # Safe in CPython's single-threaded event loop: no await between the - # .locked() check and the ``async with`` acquisition, so no other - # coroutine can sneak in between the two statements (no TOCTOU issue). - if _profile_generation_lock.locked(): - logger.info( - "Profile generation rejected — another request is in progress", - extra={"request_id": request_id, "endpoint": "/analyze_and_profile"}, - ) - return JSONResponse( - status_code=409, - content={ - "status": "busy", - "message": "A profile is already being generated. Please wait and try again.", - }, - ) - - coffee_analysis = None - generation_id = str(uuid.uuid4())[:8] - progress = create_generation(generation_id) - - async with _profile_generation_lock: - try: - logger.info( - "Starting profile creation", - extra={ - "request_id": request_id, - "generation_id": generation_id, - "endpoint": "/analyze_and_profile", - "has_image": file is not None, - "has_preferences": user_prefs is not None, - "has_advanced_customization": advanced_customization is not None, - "knowledge_mode": "detailed" - if (detailed_knowledge and detailed_knowledge.lower() == "true") - else "distilled", - "upload_filename": file.filename if file else None, - "preferences_preview": user_prefs[:100] - if user_prefs and len(user_prefs) > 100 - else user_prefs, - "advanced_customization_preview": ( - advanced_customization[:100] - if advanced_customization and len(advanced_customization) > 100 - else advanced_customization - ), - }, - ) - - # ── Phase: Analyzing ────────────────────────────────────────── - if file: - progress.emit( - ProgressEvent( - phase=GenerationPhase.ANALYZING, - message="Analyzing coffee image...", - ) - ) - logger.debug( - "Reading and analyzing image", extra={"request_id": request_id} - ) - contents = await file.read() - - # Offload CPU-bound PIL ops to a thread - def _open_image(data: bytes): - img = Image.open(io.BytesIO(data)) - if img.mode not in ("RGB", "L"): - img = img.convert("RGB") - return img - - loop = asyncio.get_running_loop() - image = await loop.run_in_executor(None, _open_image, contents) - - # Analyze the coffee bag - analysis_start = time.monotonic() - analysis_response = await get_vision_model().async_generate_content( - [ - "Analyze this coffee bag. Extract: Roaster, Origin, Roast Level, and Flavor Notes. " - "Return ONLY a single concise sentence describing the coffee.", - image, - ] - ) - coffee_analysis = analysis_response.text.strip() - analysis_elapsed = time.monotonic() - analysis_start - - logger.info( - "Coffee analysis completed", - extra={ - "request_id": request_id, - "analysis": coffee_analysis, - "analysis_seconds": round(analysis_elapsed, 1), - }, - ) - - # Get author instruction with configured name - author_instruction = get_author_instruction() - - # Build advanced customization section if provided - advanced_section = build_advanced_customization_section( - advanced_customization - ) - - # Select prompt sections based on knowledge mode - use_detailed = detailed_knowledge and detailed_knowledge.lower() == "true" - if use_detailed: - guidelines = PROFILE_GUIDELINES - validation = VALIDATION_RULES - profiling_guide = _PROFILING_GUIDE - oepf_ref = _OEPF_REFERENCE - else: - guidelines = PROFILE_GUIDELINES_DISTILLED - validation = VALIDATION_RULES_DISTILLED - profiling_guide = _PROFILING_GUIDE_DISTILLED - oepf_ref = _OEPF_REFERENCE_DISTILLED - - # Common tail shared by all three prompt branches - prompt_tail = ( - guidelines - + validation - + ERROR_RECOVERY - + NAMING_CONVENTION - + author_instruction - + USER_SUMMARY_INSTRUCTIONS - + SDK_OUTPUT_INSTRUCTIONS - + OUTPUT_FORMAT - + profiling_guide - + oepf_ref - ) - - # Construct the profile creation prompt - if coffee_analysis and user_prefs: - # Both image and preferences provided - final_prompt = ( - BARISTA_PERSONA - + SAFETY_RULES - + f"CONTEXT: You control a Meticulous Espresso Machine via local API.\n" - f"Coffee Analysis: '{coffee_analysis}'\n\n" - + advanced_section - + f"⚠️ MANDATORY USER REQUIREMENTS (MUST BE FOLLOWED EXACTLY):\n" - f"'{user_prefs}'\n" - f"You MUST honor ALL parameters specified above. If the user requests a specific dose, temperature, ratio, or any other value, use EXACTLY that value in your profile. Do NOT substitute with defaults.\n\n" - + "TASK: Create a sophisticated espresso profile based on the coffee analysis while strictly adhering to the user's requirements and equipment parameters above.\n\n" - + prompt_tail - ) - elif coffee_analysis: - # Only image provided (may still have advanced customization) - final_prompt = ( - BARISTA_PERSONA - + SAFETY_RULES - + f"CONTEXT: You control a Meticulous Espresso Machine via local API.\n" - f"Coffee Analysis: '{coffee_analysis}'\n\n" - + advanced_section - + "TASK: Create a sophisticated espresso profile for this coffee" - + ( - ", strictly adhering to the equipment parameters above.\n\n" - if advanced_section - else ".\n\n" - ) - + prompt_tail - ) - else: - # Only user preferences provided (may still have advanced customization) - final_prompt = ( - BARISTA_PERSONA - + SAFETY_RULES - + "CONTEXT: You control a Meticulous Espresso Machine via local API.\n\n" - + advanced_section - + f"⚠️ MANDATORY USER REQUIREMENTS (MUST BE FOLLOWED EXACTLY):\n" - f"'{user_prefs}'\n" - f"You MUST honor ALL parameters specified above. If the user requests a specific dose, temperature, ratio, or any other value, use EXACTLY that value in your profile. Do NOT substitute with defaults.\n\n" - + "TASK: Create a sophisticated espresso profile while strictly adhering to the user's requirements and equipment parameters above.\n\n" - + prompt_tail - ) - - # ── Phase: Generating ───────────────────────────────────────── - progress.emit( - ProgressEvent( - phase=GenerationPhase.GENERATING, - message="Generating espresso profile...", - ) - ) - logger.debug( - "Executing profile generation via Gemini SDK", - extra={ - "request_id": request_id, - "prompt_length": len(final_prompt), - "knowledge_mode": "detailed" if use_detailed else "distilled", - }, - ) - generation_start = time.monotonic() - model_response = await asyncio.wait_for( - get_vision_model().async_generate_content([final_prompt]), timeout=300 - ) - generation_elapsed = time.monotonic() - generation_start - reply = (model_response.text or "").strip() - - logger.info( - "Gemini SDK generation completed", - extra={ - "request_id": request_id, - "generation_seconds": round(generation_elapsed, 1), - "reply_length": len(reply), - }, - ) - - # ── Phase: Validating ───────────────────────────────────────── - progress.emit( - ProgressEvent( - phase=GenerationPhase.VALIDATING, - message="Validating profile schema...", - ) - ) - - profile_json_check = _extract_profile_json(reply) - - # Validation + retry loop - attempt = 0 - while attempt <= MAX_VALIDATION_RETRIES: - if not profile_json_check: - if attempt < MAX_VALIDATION_RETRIES: - # No JSON extracted — ask model to regenerate - attempt += 1 - progress.emit( - ProgressEvent( - phase=GenerationPhase.RETRYING, - message=f"No valid JSON found, retrying ({attempt}/{MAX_VALIDATION_RETRIES})...", - attempt=attempt, - max_attempts=MAX_VALIDATION_RETRIES + 1, - ) - ) - logger.warning( - "No profile JSON extracted, requesting retry", - extra={"request_id": request_id, "attempt": attempt}, - ) - retry_prompt = ( - "Your previous response did not contain a valid JSON profile block. " - "Please generate the complete profile JSON in a fenced ```json block. " - "Include the full profile object with name, stages, variables, and temperature." - ) - retry_start = time.monotonic() - retry_response = await asyncio.wait_for( - get_vision_model().async_generate_content([retry_prompt]), - timeout=120, - ) - retry_elapsed = time.monotonic() - retry_start - retry_text = (retry_response.text or "").strip() - profile_json_check = _extract_profile_json(retry_text) - # Merge retry JSON into the original reply if extraction succeeded - if profile_json_check: - reply = ( - reply - + "\n\nPROFILE JSON:\n```json\n" - + json.dumps(profile_json_check, indent=2) - + "\n```" - ) - logger.info( - "Retry generation completed", - extra={ - "request_id": request_id, - "attempt": attempt, - "retry_seconds": round(retry_elapsed, 1), - "has_json": profile_json_check is not None, - }, - ) - continue - else: - # Exhausted retries with no JSON - break - - # We have JSON — validate it - validation_result = validate_profile(profile_json_check) - - if validation_result.is_valid: - logger.info( - "Profile validation passed", - extra={"request_id": request_id, "attempt": attempt}, - ) - break - - # Validation failed — try to fix - if attempt < MAX_VALIDATION_RETRIES: - attempt += 1 - progress.emit( - ProgressEvent( - phase=GenerationPhase.RETRYING, - message=f"Fixing validation issues (attempt {attempt}/{MAX_VALIDATION_RETRIES})...", - attempt=attempt, - max_attempts=MAX_VALIDATION_RETRIES + 1, - ) - ) - logger.warning( - "Profile validation failed, requesting fix", - extra={ - "request_id": request_id, - "attempt": attempt, - "error_count": len(validation_result.errors), - "errors": validation_result.errors[:5], - }, - ) - - fix_prompt = VALIDATION_RETRY_PROMPT.format( - errors=validation_result.error_summary(), - json=json.dumps(profile_json_check, indent=2), - ) - retry_start = time.monotonic() - fix_response = await asyncio.wait_for( - get_vision_model().async_generate_content([fix_prompt]), - timeout=120, - ) - retry_elapsed = time.monotonic() - retry_start - fix_text = (fix_response.text or "").strip() - fixed_json = _extract_profile_json(fix_text) - - logger.info( - "Validation fix attempt completed", - extra={ - "request_id": request_id, - "attempt": attempt, - "retry_seconds": round(retry_elapsed, 1), - "has_json": fixed_json is not None, - }, - ) - - if fixed_json: - profile_json_check = fixed_json - # Update the JSON in the reply so the user sees the corrected version - # Use a lambda replacement to avoid re.sub interpreting - # \uXXXX sequences in the JSON as regex escape sequences - _replacement = ( - "```json\n" + json.dumps(fixed_json, indent=2) + "\n```" - ) - reply = re.sub( - r"```json\s*[\s\S]*?```", - lambda _m: _replacement, - reply, - count=1, - ) - continue - else: - # Exhausted retries — log and proceed with what we have - logger.warning( - "Validation retries exhausted, proceeding with best-effort profile", - extra={ - "request_id": request_id, - "final_errors": validation_result.errors[:5], - }, - ) - break - - if not profile_json_check: - progress.emit( - ProgressEvent( - phase=GenerationPhase.FAILED, - message="Failed to generate valid profile JSON", - error="No valid profile JSON after retries", - ) - ) - logger.error( - "Model reply missing valid profile JSON after retries", - extra={ - "request_id": request_id, - "reply_preview": reply[:500], - }, - ) - # Still save to history so user can see what happened - history_entry = save_to_history( - coffee_analysis=coffee_analysis, user_prefs=user_prefs, reply=reply - ) - return { - "status": "error", - "analysis": coffee_analysis, - "reply": reply, - "generation_id": generation_id, - "message": ( - "The AI attempted to create a profile but encountered " - "validation errors it couldn't resolve. Please try again — " - "the AI will often succeed on a second attempt with a " - "different approach." - ), - "history_id": history_entry.get("id"), - } - - # ── Phase: Uploading ────────────────────────────────────────── - progress.emit( - ProgressEvent( - phase=GenerationPhase.UPLOADING, - message="Uploading profile to machine...", - ) - ) - - create_start = time.monotonic() - create_result = await asyncio.wait_for( - async_create_profile(profile_json_check), timeout=300 - ) - create_elapsed = time.monotonic() - create_start - - # Extract the normalised JSON that was actually sent to the machine. - # This is the ground truth for export — it includes all fields the - # machine requires (id, author_id, stage keys, limits, dynamics, etc.) - normalised_json = None - if isinstance(create_result, dict): - normalised_json = create_result.pop("_normalised_json", None) - - logger.info( - "Machine profile creation completed", - extra={ - "request_id": request_id, - "create_seconds": round(create_elapsed, 1), - }, - ) - - create_error = None - if isinstance(create_result, dict): - create_error = create_result.get("error") - else: - create_error = getattr(create_result, "error", None) - - if create_error: - friendly_message = parse_gemini_error(str(create_error)) - progress.emit( - ProgressEvent( - phase=GenerationPhase.FAILED, - message="Machine rejected the profile", - error=friendly_message, - ) - ) - logger.error( - "Machine profile creation returned error", - extra={ - "request_id": request_id, - "create_error": str(create_error)[:1000], - }, - ) - return { - "status": "error", - "analysis": coffee_analysis, - "reply": reply, - "generation_id": generation_id, - "message": friendly_message, - } - - # ── Phase: Complete ─────────────────────────────────────────── - has_profile_created_header = bool( - re.search(r"(?:\*\*)?Profile Created:(?:\*\*)?", reply, re.IGNORECASE) - ) - if not has_profile_created_header: - profile_name = ( - profile_json_check.get("name") - if isinstance(profile_json_check, dict) - else None - ) - if not profile_name: - profile_name = "Untitled Profile" - reply = f"**Profile Created:** {profile_name}\n\n{reply}".strip() - - total_elapsed = time.monotonic() - generation_start - - logger.info( - "Profile creation completed successfully", - extra={ - "request_id": request_id, - "generation_id": generation_id, - "analysis": coffee_analysis, - "total_seconds": round(total_elapsed, 1), - "output_preview": reply[:200] if len(reply) > 200 else reply, - }, - ) - - # Save to history with the normalised (machine-validated) JSON - history_entry = save_to_history( - coffee_analysis=coffee_analysis, - user_prefs=user_prefs, - reply=reply, - profile_json_override=normalised_json, - ) - - # Best-effort upgrade: fetch the profile back from the machine - # by ID to capture any fields the machine itself added/modified. - machine_profile_id = None - if isinstance(create_result, dict): - machine_profile_id = create_result.get("id") - if not machine_profile_id and normalised_json: - machine_profile_id = normalised_json.get("id") - - if machine_profile_id and history_entry.get("id"): - try: - from services.meticulous_service import fetch_machine_profile_dict - - machine_dict = await fetch_machine_profile_dict(machine_profile_id) - if isinstance(machine_dict, dict) and machine_dict.get("name"): - from services.history_service import ( - update_entry_sync_fields, - compute_content_hash, - ) - - update_entry_sync_fields( - history_entry["id"], - content_hash=compute_content_hash(machine_dict), - profile_json=machine_dict, - ) - except Exception as exc: - # Non-fatal — Layer 1 already stored valid normalised JSON - logger.debug( - "Post-upload profile fetch-back failed (non-fatal): %s", - exc, - extra={"request_id": request_id}, - ) - - progress.emit( - ProgressEvent( - phase=GenerationPhase.COMPLETE, - message="Profile created!", - result={"status": "success", "generation_id": generation_id}, - ) - ) - - return { - "status": "success", - "analysis": coffee_analysis, - "reply": reply, - "generation_id": generation_id, - "history_id": history_entry.get("id"), - } - - except asyncio.TimeoutError: - progress.emit( - ProgressEvent( - phase=GenerationPhase.FAILED, - message="Profile generation timed out", - error="Timed out after 300 seconds", - ) - ) - logger.error( - "Profile generation timed out after 300s", - extra={ - "request_id": request_id, - "endpoint": "/analyze_and_profile", - "coffee_analysis": coffee_analysis, - }, - ) - raise HTTPException( - status_code=504, - detail={ - "status": "error", - "analysis": coffee_analysis if coffee_analysis else None, - "message": "Profile creation timed out. The AI took too long to respond. Please try again.", - }, - ) - except HTTPException: - raise - except ValueError as e: - progress.emit( - ProgressEvent( - phase=GenerationPhase.FAILED, - message="AI features unavailable", - error=str(e), - ) - ) - logger.warning( - f"Profile creation unavailable: {str(e)}", - extra={ - "request_id": request_id, - "endpoint": "/analyze_and_profile", - }, - ) - raise HTTPException( - status_code=503, - detail="AI features are unavailable. Please configure a Gemini API key in Settings.", - ) - except Exception as e: - progress.emit( - ProgressEvent( - phase=GenerationPhase.FAILED, - message="Profile creation failed", - error=str(e), - ) - ) - logger.error( - f"Profile creation failed: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "endpoint": "/analyze_and_profile", - "error_type": type(e).__name__, - "coffee_analysis": coffee_analysis, - "has_image": file is not None, - "has_preferences": user_prefs is not None, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "analysis": coffee_analysis if coffee_analysis else None, - "message": str(e), - }, - ) - finally: - # Clean up generation state after a delay to allow SSE clients to read final event - async def _cleanup(): - await asyncio.sleep(30) - remove_generation(generation_id) - - asyncio.create_task(_cleanup()) diff --git a/apps/server/api/routes/commands.py b/apps/server/api/routes/commands.py deleted file mode 100644 index 65846ea1..00000000 --- a/apps/server/api/routes/commands.py +++ /dev/null @@ -1,271 +0,0 @@ -"""Machine command endpoints — publish MQTT commands to the Meticulous machine. - -Each endpoint publishes a message to the appropriate MQTT topic via the local -Mosquitto broker. The frontend never connects to MQTT directly; the FastAPI -server is the single gateway. -""" - -import logging -import os -import uuid - -from fastapi import APIRouter, HTTPException -from pydantic import BaseModel, Field - -from services.mqtt_service import get_mqtt_subscriber - -router = APIRouter() -logger = logging.getLogger(__name__) - -TEST_MODE = os.environ.get("TEST_MODE") == "true" - -# --------------------------------------------------------------------------- -# MQTT publishing helper -# --------------------------------------------------------------------------- - -MQTT_TOPIC_PREFIX = "meticulous_espresso/command/" - - -def _publish_command(topic: str, payload: str = "") -> bool: - """Publish a single message to the local MQTT broker. - - Uses paho-mqtt's ``publish.single()`` (fire-and-forget). - Returns True on success, False on failure. - """ - if TEST_MODE: - logger.info("TEST_MODE: would publish %s → %r", topic, payload) - return True - - mqtt_host = os.environ.get("MQTT_HOST", "127.0.0.1") - mqtt_port = int(os.environ.get("MQTT_PORT", "1883")) - - try: - import paho.mqtt.publish as publish - - publish.single( - topic, - payload=payload or None, - hostname=mqtt_host, - port=mqtt_port, - client_id=f"meticai-cmd-{uuid.uuid4().hex[:8]}", - qos=1, - ) - return True - except Exception as exc: - logger.error("MQTT publish failed for %s: %s", topic, exc) - return False - - -# --------------------------------------------------------------------------- -# Precondition helpers -# --------------------------------------------------------------------------- - - -def _get_snapshot() -> dict: - """Return the current MQTT sensor snapshot (may be empty).""" - sub = get_mqtt_subscriber() - return sub.get_snapshot() - - -def _require_connected(snapshot: dict) -> None: - availability = snapshot.get("availability") - connected = snapshot.get("connected") - if availability == "offline" or connected is False: - raise HTTPException(status_code=409, detail="Machine is offline") - - -def _require_idle(snapshot: dict) -> None: - _require_connected(snapshot) - if snapshot.get("brewing"): - raise HTTPException( - status_code=409, detail="Cannot perform action: a shot is running" - ) - - -def _require_brewing(snapshot: dict) -> None: - _require_connected(snapshot) - if not snapshot.get("brewing"): - raise HTTPException(status_code=409, detail="No shot is currently running") - - -def _do_publish(action: str, payload: str = "") -> dict: - """Publish and return a standard response.""" - topic = f"{MQTT_TOPIC_PREFIX}{action}" - ok = _publish_command(topic, payload) - if not ok: - raise HTTPException(status_code=503, detail="Failed to publish MQTT command") - return {"success": True, "status": "ok", "command": action} - - -# --------------------------------------------------------------------------- -# Request bodies -# --------------------------------------------------------------------------- - - -class LoadProfileRequest(BaseModel): - name: str = Field( - ..., min_length=1, description="Profile name to load on the machine" - ) - - -class BrightnessRequest(BaseModel): - value: int = Field(..., ge=0, le=100, description="Brightness 0–100") - - -class SoundsRequest(BaseModel): - enabled: bool = Field(..., description="Enable or disable sounds") - - -# --------------------------------------------------------------------------- -# Endpoints -# --------------------------------------------------------------------------- - - -@router.post("/api/machine/command/start") -async def command_start(): - """Start a shot (load & execute the active profile).""" - snapshot = _get_snapshot() - _require_idle(snapshot) - return _do_publish("start_shot") - - -@router.post("/api/machine/command/stop") -async def command_stop(): - """Stop the plunger immediately mid-shot.""" - snapshot = _get_snapshot() - _require_brewing(snapshot) - return _do_publish("stop_shot") - - -@router.post("/api/machine/command/abort") -async def command_abort(): - """Abort the current shot or preheat and retract the plunger.""" - snapshot = _get_snapshot() - _require_connected(snapshot) - # Abort is allowed during brewing OR preheating - return _do_publish("abort_shot") - - -@router.post("/api/machine/command/continue") -async def command_continue(): - """Resume a paused shot.""" - return _do_publish("continue_shot") - - -@router.post("/api/machine/command/preheat") -async def command_preheat(): - """Preheat the water in the chamber. - - Also acts as a toggle: sending preheat while already preheating - will cancel the preheat cycle. - """ - snapshot = _get_snapshot() - _require_connected(snapshot) - # Allow during idle (start preheat) AND preheating (cancel preheat) - state = (snapshot.get("state") or "").lower() - if snapshot.get("brewing"): - raise HTTPException(status_code=409, detail="Cannot preheat while brewing") - if state not in ("idle", "preheating", "heating", "click to start"): - raise HTTPException( - status_code=409, - detail=f"Cannot preheat in current state: {snapshot.get('state')}", - ) - return _do_publish("preheat") - - -@router.post("/api/machine/command/tare") -async def command_tare(): - """Zero the scale.""" - snapshot = _get_snapshot() - _require_connected(snapshot) - return _do_publish("tare_scale") - - -@router.post("/api/machine/command/home-plunger") -async def command_home_plunger(): - """Reset plunger to home position.""" - snapshot = _get_snapshot() - _require_idle(snapshot) - return _do_publish("home_plunger") - - -@router.post("/api/machine/command/purge") -async def command_purge(): - """Flush water through the group head.""" - snapshot = _get_snapshot() - _require_idle(snapshot) - return _do_publish("purge") - - -@router.post("/api/machine/command/load-profile") -async def command_load_profile(body: LoadProfileRequest): - """Switch the machine to a different profile. - - Sends select_profile to highlight/load the profile on the machine's screen. - Starting extraction is a separate explicit action via /start. - """ - snapshot = _get_snapshot() - _require_connected(snapshot) - return _do_publish("select_profile", body.name) - - -@router.post("/api/machine/command/brightness") -async def command_brightness(body: BrightnessRequest): - """Adjust the display brightness (0–100).""" - snapshot = _get_snapshot() - _require_connected(snapshot) - return _do_publish("set_brightness", str(body.value)) - - -@router.post("/api/machine/command/sounds") -async def command_sounds(body: SoundsRequest): - """Toggle machine sound effects.""" - snapshot = _get_snapshot() - _require_connected(snapshot) - return _do_publish("enable_sounds", str(body.enabled).lower()) - - -# --------------------------------------------------------------------------- -# Machine discovery -# --------------------------------------------------------------------------- - - -@router.post("/api/machine/detect") -async def detect_machine(): - """ - Auto-detect Meticulous machine on the local network. - - Uses mDNS/Zeroconf and hostname resolution to find machines. - - Returns: - - found: bool - - ip: str (if found) - - hostname: str (if found) - - method: str (mdns | hostname) - - guidance: str (if not found) - """ - from services.machine_discovery_service import discover_machine, verify_machine - - result = await discover_machine() - - response = { - "found": result.found, - } - - if result.found: - # Verify the machine is actually responding - verified = await verify_machine(result.ip) - response.update( - { - "ip": result.ip, - "hostname": result.hostname, - "method": result.method, - "verified": verified, - } - ) - else: - response["guidance"] = result.guidance - response["guidance_key"] = result.guidance_key - response["guidance_hints"] = result.guidance_hints - - return response diff --git a/apps/server/api/routes/dialin.py b/apps/server/api/routes/dialin.py deleted file mode 100644 index 5670213a..00000000 --- a/apps/server/api/routes/dialin.py +++ /dev/null @@ -1,222 +0,0 @@ -"""Dial-In Guide API routes.""" - -import json -import logging -from typing import Optional - -from fastapi import APIRouter, HTTPException, Query -from pydantic import BaseModel - -from models.dialin import ( - CoffeeDetails, - SessionStatus, - TasteFeedback, -) -from services import dialin_service -from services.gemini_service import get_vision_model, is_ai_available -from prompt_builder import build_dialin_recommendation_prompt - -router = APIRouter() -logger = logging.getLogger(__name__) - - -# ── Request body models ──────────────────────────────────────────────────────── - - -class CreateSessionRequest(BaseModel): - coffee: CoffeeDetails - profile_name: Optional[str] = None - - -class AddIterationRequest(BaseModel): - taste: TasteFeedback - shot_ref: Optional[str] = None - - -class UpdateRecommendationsRequest(BaseModel): - recommendations: list[str] - - -# ── Sessions ─────────────────────────────────────────────────────────────────── - - -@router.post("/dialin/sessions", status_code=201) -@router.post("/api/dialin/sessions", status_code=201) -async def create_session(req: CreateSessionRequest): - """Create a new dial-in session.""" - try: - session = await dialin_service.create_session( - coffee=req.coffee, - profile_name=req.profile_name, - ) - return session - except ValueError as e: - logger.warning("Failed to create dial-in session: %s", e) - raise HTTPException(status_code=400, detail=str(e)) - - -@router.get("/dialin/sessions") -@router.get("/api/dialin/sessions") -async def list_sessions( - status: Optional[SessionStatus] = Query(None), -): - """List dial-in sessions, optionally filtered by status.""" - sessions = await dialin_service.list_sessions(status=status) - return {"sessions": sessions} - - -@router.get("/dialin/sessions/{session_id}") -@router.get("/api/dialin/sessions/{session_id}") -async def get_session(session_id: str): - """Get a specific dial-in session.""" - session = await dialin_service.get_session(session_id) - if session is None: - raise HTTPException(status_code=404, detail="Session not found") - return session - - -# ── Iterations ───────────────────────────────────────────────────────────────── - - -@router.post("/dialin/sessions/{session_id}/iterations", status_code=201) -@router.post("/api/dialin/sessions/{session_id}/iterations", status_code=201) -async def add_iteration(session_id: str, req: AddIterationRequest): - """Add a taste-feedback iteration to a session.""" - try: - iteration = await dialin_service.add_iteration( - session_id=session_id, - taste=req.taste, - shot_ref=req.shot_ref, - ) - return iteration - except ValueError as e: - raise HTTPException(status_code=404, detail=str(e)) - - -@router.put( - "/dialin/sessions/{session_id}/iterations/{iteration_number}/recommendations" -) -@router.put( - "/api/dialin/sessions/{session_id}/iterations/{iteration_number}/recommendations" -) -async def update_recommendations( - session_id: str, - iteration_number: int, - req: UpdateRecommendationsRequest, -): - """Update AI recommendations for a specific iteration.""" - try: - iteration = await dialin_service.update_recommendations( - session_id=session_id, - iteration_number=iteration_number, - recommendations=req.recommendations, - ) - return iteration - except ValueError as e: - raise HTTPException(status_code=404, detail=str(e)) - - -# ── AI Recommendations ───────────────────────────────────────────────────────── - - -@router.post("/dialin/sessions/{session_id}/recommend") -@router.post("/api/dialin/sessions/{session_id}/recommend") -async def generate_recommendations(session_id: str): - """Generate AI-powered recommendations for the latest iteration. - - Falls back to rule-based recommendations when Gemini is unavailable. - """ - session = await dialin_service.get_session(session_id) - if session is None: - raise HTTPException(status_code=404, detail="Session not found") - if not session.iterations: - raise HTTPException(status_code=400, detail="No iterations to recommend from") - - latest = session.iterations[-1] - coffee = session.coffee - - # Try AI-powered recommendations - if is_ai_available(): - try: - prompt = build_dialin_recommendation_prompt( - roast_level=coffee.roast_level.value, - origin=coffee.origin, - process=coffee.process.value if coffee.process else None, - roast_date=coffee.roast_date, - profile_name=session.profile_name, - iterations=[it.model_dump(mode="json") for it in session.iterations], - ) - model = get_vision_model() - response = await model.async_generate_content(prompt) - text = response.text.strip() - - # Parse JSON from response (handle markdown fences) - cleaned = text - if cleaned.startswith("```"): - cleaned = "\n".join(cleaned.split("\n")[1:]) - if cleaned.endswith("```"): - cleaned = "\n".join(cleaned.split("\n")[:-1]) - - data = json.loads(cleaned) - recommendations = data.get("recommendations", []) - if isinstance(recommendations, list) and recommendations: - # Store on the iteration - await dialin_service.update_recommendations( - session_id=session_id, - iteration_number=latest.iteration_number, - recommendations=[str(r) for r in recommendations[:6]], - ) - return {"recommendations": recommendations[:6], "source": "ai"} - except Exception as exc: - logger.warning( - "Gemini dial-in recommendation failed, falling back to rules: %s", exc - ) - - # Rule-based fallback - x = latest.taste.x if latest.taste.x is not None else 0.0 - y = latest.taste.y if latest.taste.y is not None else 0.0 - recs: list[str] = [] - - if x < -0.2: - recs.append("Grind finer (2-3 steps)") - recs.append("Increase temperature by 1-2°C") - if x > 0.2: - recs.append("Grind coarser (2-3 steps)") - recs.append("Decrease temperature by 1-2°C") - if y < -0.2: - recs.append("Increase dose by 0.3-0.5g") - if y > 0.2: - recs.append("Decrease dose by 0.3-0.5g") - if not recs: - recs.append("Looking good! Small tweaks only — try ±0.5°C or ±0.2g dose") - - await dialin_service.update_recommendations( - session_id=session_id, - iteration_number=latest.iteration_number, - recommendations=recs, - ) - return {"recommendations": recs, "source": "rules"} - - -# ── Session lifecycle ────────────────────────────────────────────────────────── - - -@router.post("/dialin/sessions/{session_id}/complete") -@router.post("/api/dialin/sessions/{session_id}/complete") -async def complete_session(session_id: str): - """Mark a dial-in session as complete.""" - try: - session = await dialin_service.complete_session(session_id) - return session - except ValueError as e: - raise HTTPException(status_code=404, detail=str(e)) - - -@router.delete("/dialin/sessions/{session_id}") -@router.delete("/api/dialin/sessions/{session_id}") -async def delete_session(session_id: str): - """Delete a dial-in session.""" - deleted = await dialin_service.delete_session(session_id) - if not deleted: - raise HTTPException(status_code=404, detail="Session not found") - return {"deleted": True} diff --git a/apps/server/api/routes/history.py b/apps/server/api/routes/history.py deleted file mode 100644 index 5dbc9294..00000000 --- a/apps/server/api/routes/history.py +++ /dev/null @@ -1,420 +0,0 @@ -"""Profile history management endpoints.""" - -from fastapi import APIRouter, Request, HTTPException -from fastapi.responses import JSONResponse -import json -import logging - -from services.history_service import load_history, save_history -from utils.sanitization import clean_profile_name - -router = APIRouter() -logger = logging.getLogger(__name__) - - -@router.get("/api/history") -async def get_history(request: Request, limit: int = 50, offset: int = 0): - """Get profile history. - - Args: - limit: Maximum number of entries to return (default: 50) - offset: Number of entries to skip (default: 0) - - Returns: - - entries: List of history entries - - total: Total number of entries - """ - request_id = request.state.request_id - - try: - logger.debug( - "Fetching profile history", - extra={"request_id": request_id, "limit": limit, "offset": offset}, - ) - - history = load_history() - total = len(history) - - # Apply pagination - entries = history[offset : offset + limit] - - # Remove large fields from list view and ensure required fields exist - sanitized_entries = [] - for entry in entries: - entry_copy = dict(entry) # avoid mutating cached history entries - if "image_preview" in entry_copy: - entry_copy["image_preview"] = ( - None # Remove for list view to save bandwidth - ) - # Ensure profile_name is always a string (defense against corrupt data) - if not entry_copy.get("profile_name"): - entry_copy["profile_name"] = ( - entry_copy.get("profile_json", {}).get("name", "Untitled Profile") - if isinstance(entry_copy.get("profile_json"), dict) - else "Untitled Profile" - ) - sanitized_entries.append(entry_copy) - - return { - "entries": sanitized_entries, - "total": total, - "limit": limit, - "offset": offset, - } - - except Exception as e: - logger.error( - f"Failed to retrieve history: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to retrieve history", - }, - ) - - -@router.get("/api/history/{entry_id}") -async def get_history_entry(request: Request, entry_id: str): - """Get a specific history entry by ID. - - Args: - entry_id: The unique ID of the history entry - - Returns: - The full history entry including profile JSON - """ - request_id = request.state.request_id - - try: - logger.debug( - "Fetching history entry", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - history = load_history() - - for entry in history: - if entry.get("id") == entry_id: - # Ensure profile_name is always a string - if not entry.get("profile_name"): - pj = entry.get("profile_json") - entry["profile_name"] = ( - pj.get("name", "Untitled Profile") - if isinstance(pj, dict) - else "Untitled Profile" - ) - return entry - - raise HTTPException(status_code=404, detail="History entry not found") - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to retrieve history entry: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "entry_id": entry_id, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to retrieve history entry", - }, - ) - - -@router.delete("/history/{entry_id}") -@router.delete("/api/history/{entry_id}") -async def delete_history_entry(request: Request, entry_id: str): - """Delete a specific history entry. - - Args: - entry_id: The unique ID of the history entry to delete - - Returns: - Success status - """ - request_id = request.state.request_id - - try: - logger.info( - "Deleting history entry", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - history = load_history() - original_length = len(history) - - history = [entry for entry in history if entry.get("id") != entry_id] - - if len(history) == original_length: - raise HTTPException(status_code=404, detail="History entry not found") - - save_history(history) - - return {"status": "success", "message": "History entry deleted"} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to delete history entry: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "entry_id": entry_id, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to delete history entry", - }, - ) - - -@router.delete("/api/history") -async def clear_history(request: Request): - """Clear all profile history. - - Returns: - Success status - """ - request_id = request.state.request_id - - try: - logger.warning("Clearing all history", extra={"request_id": request_id}) - - save_history([]) - - return {"status": "success", "message": "All history cleared"} - - except Exception as e: - logger.error( - f"Failed to clear history: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to clear history", - }, - ) - - -@router.post("/api/history/migrate") -async def migrate_history_profile_names(request: Request): - """Migrate history to clean up malformed profile names. - - This fixes profile names that have markdown artifacts like ** or *. - - Returns: - Number of entries fixed - """ - request_id = request.state.request_id - - try: - history = load_history() - fixed_count = 0 - - for entry in history: - old_name = entry.get("profile_name", "") - new_name = clean_profile_name(old_name) - - if old_name != new_name: - entry["profile_name"] = new_name - fixed_count += 1 - logger.info( - f"Fixed profile name: '{old_name}' -> '{new_name}'", - extra={"request_id": request_id}, - ) - - if fixed_count > 0: - save_history(history) - - logger.info( - f"Migration complete: {fixed_count} profile names fixed", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "message": f"Fixed {fixed_count} profile names", - "fixed_count": fixed_count, - } - - except Exception as e: - logger.error( - f"Failed to migrate history: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to migrate history", - }, - ) - - -@router.get("/api/history/{entry_id}/json") -async def get_profile_json(request: Request, entry_id: str): - """Get the profile JSON for download. - - Args: - entry_id: The unique ID of the history entry - - Returns: - The profile JSON with proper Content-Disposition header for download - """ - request_id = request.state.request_id - - try: - logger.debug( - "Fetching profile JSON for download", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - history = load_history() - - for entry in history: - if entry.get("id") == entry_id: - if not entry.get("profile_json"): - raise HTTPException( - status_code=404, - detail="Profile JSON not available for this entry", - ) - - # Create filename from profile name - profile_name = entry.get("profile_name", "profile") - safe_filename = ( - "".join( - c if c.isalnum() or c in (" ", "-", "_") else "" - for c in profile_name - ) - .strip() - .replace(" ", "-") - .lower() - ) - - return JSONResponse( - content=entry["profile_json"], - headers={ - "Content-Disposition": f'attachment; filename="{safe_filename}.json"' - }, - ) - - raise HTTPException(status_code=404, detail="History entry not found") - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get profile JSON: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "entry_id": entry_id, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to get profile JSON", - }, - ) - - -@router.get("/api/history/{entry_id}/notes") -async def get_history_notes(entry_id: str, request: Request): - """Get notes for a history entry. - - Args: - entry_id: The ID of the history entry. - - Returns: - notes: The notes content (or null if none). - """ - from services.history_service import get_entry_by_id - - entry = get_entry_by_id(entry_id) - if not entry: - raise HTTPException(status_code=404, detail="History entry not found") - - return { - "status": "success", - "notes": entry.get("notes"), - "notes_updated_at": entry.get("notes_updated_at"), - } - - -@router.patch("/api/history/{entry_id}/notes") -async def update_history_notes(entry_id: str, request: Request): - """Update notes for a history entry. - - Args: - entry_id: The ID of the history entry. - - Body: - notes: The new notes content (Markdown). Empty to clear. - - Returns: - Updated notes information. - """ - from services.history_service import update_entry_notes - - request_id = request.state.request_id - - try: - try: - body = await request.json() - except (json.JSONDecodeError, ValueError): - raise HTTPException( - status_code=400, - detail={"status": "error", "error": "Invalid JSON body"}, - ) - notes_text = body.get("notes", "") - - updated_entry = update_entry_notes(entry_id, notes_text) - - if not updated_entry: - raise HTTPException(status_code=404, detail="History entry not found") - - return { - "status": "success", - "notes": updated_entry.get("notes"), - "notes_updated_at": updated_entry.get("notes_updated_at"), - } - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to update history notes: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "entry_id": entry_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) diff --git a/apps/server/api/routes/machine_status.py b/apps/server/api/routes/machine_status.py deleted file mode 100644 index f906e909..00000000 --- a/apps/server/api/routes/machine_status.py +++ /dev/null @@ -1,156 +0,0 @@ -"""Machine status endpoints — proxy to meticulous-watcher and machine API.""" - -import re -from urllib.parse import urlparse, urlunparse -from fastapi import APIRouter -from services.meticulous_service import _resolve_meticulous_base_url -import httpx -from logging_config import get_logger - -logger = get_logger() -router = APIRouter() - - -def _watcher_url(machine_url: str) -> str: - """Derive the watcher URL (port 3000) from the machine base URL.""" - parsed = urlparse(machine_url) - # Replace whatever port (or no port) with 3000 - host = parsed.hostname or parsed.netloc - # IPv6 literals must be bracketed in a URL netloc, otherwise the trailing - # ":3000" is indistinguishable from the address (e.g. "fe80::1:3000"). - if host and ":" in host and not host.startswith("["): - host = f"[{host}]" - return urlunparse((parsed.scheme or "http", f"{host}:3000", "", "", "", "")) - - -def _parse_size_to_mb(size_str: str) -> float: - """Parse a human-readable size string (e.g. '1.93 GB', '700.91 MB') to MB.""" - match = re.match(r'([\d.]+)\s*(GB|MB|KB|TB)', size_str, re.IGNORECASE) - if not match: - return 0.0 - value = float(match.group(1)) - unit = match.group(2).upper() - if unit == 'TB': - return value * 1024 * 1024 - if unit == 'GB': - return value * 1024 - if unit == 'KB': - return value / 1024 - return value # MB - - -def _parse_uptime_to_seconds(uptime_str: str) -> int: - """Parse watcher uptime string like '0 days, 0 hours 41 minutes 35 seconds' to seconds.""" - total = 0 - for match in re.finditer(r'(\d+)\s*(days?|hours?|minutes?|seconds?)', uptime_str): - val = int(match.group(1)) - unit = match.group(2).lower() - if unit.startswith('day'): - total += val * 86400 - elif unit.startswith('hour'): - total += val * 3600 - elif unit.startswith('minute'): - total += val * 60 - else: - total += val - return total - - -def _coerce_uptime(value) -> "int | None": - """Coerce a per-service uptime (string like '0 hours 41 minutes' or a - numeric seconds value) to integer seconds, or None when unavailable.""" - if isinstance(value, str) and value.strip(): - return _parse_uptime_to_seconds(value) - if isinstance(value, bool): - return None - if isinstance(value, (int, float)): - return int(value) - return None - - -def _transform_watcher_response(raw: dict) -> dict: - """Transform raw watcher /status response into the shape the frontend expects.""" - # Services: object → array - raw_services = raw.get("services", {}) - services = [] - if isinstance(raw_services, dict): - for name, info in raw_services.items(): - info_dict = info if isinstance(info, dict) else {} - services.append({ - "name": name, - "status": info_dict.get("status", "unknown"), - "uptime": _coerce_uptime(info_dict.get("uptime")), - }) - elif isinstance(raw_services, list): - services = raw_services # already in expected format - - # System metrics - system = None - mem = raw.get("memoryUsage", {}) - discs = raw.get("discs", []) - uptime_str = raw.get("uptime", "") - - mem_total = _parse_size_to_mb(mem.get("total", "")) if isinstance(mem, dict) else 0 - mem_used = _parse_size_to_mb(mem.get("used", "")) if isinstance(mem, dict) else 0 - - # Use the root filesystem disc for disk metrics - disk_total = 0.0 - disk_used = 0.0 - if isinstance(discs, list): - for disc in discs: - mp = disc.get("mountpoint", "") - if mp == "/": - usage = disc.get("usage", {}) - disk_total = _parse_size_to_mb(usage.get("total", "")) / 1024 # GB - disk_used = _parse_size_to_mb(usage.get("used", "")) / 1024 # GB - break - - uptime_secs = _parse_uptime_to_seconds(uptime_str) if uptime_str else None - - if mem_total or disk_total or uptime_secs: - system = { - "memory_total": round(mem_total) if mem_total else None, - "memory_used": round(mem_used) if mem_used else None, - "disk_total": round(disk_total, 2) if disk_total else None, - "disk_used": round(disk_used, 2) if disk_used else None, - "cpu_temperature": None, # watcher doesn't expose this - "uptime": uptime_secs, - } - - return {"services": services, "system": system} - - -@router.get("/api/machine/status/health") -async def get_machine_status(): - """Proxy to meticulous-watcher service for health status.""" - machine_url = _resolve_meticulous_base_url() - watcher_base = _watcher_url(machine_url) - try: - async with httpx.AsyncClient(timeout=5.0) as client: - resp = await client.get(f"{watcher_base}/status") - resp.raise_for_status() - return _transform_watcher_response(resp.json()) - except Exception as e: - logger.warning(f"Watcher service unreachable: {e}") - return {"error": "Watcher service unavailable", "services": [], "system": None} - - -@router.get("/api/machine/system-info") -async def get_machine_system_info(): - """Aggregate system info from machine API.""" - machine_url = _resolve_meticulous_base_url() - base = machine_url.rstrip("/") - info: dict = {"firmware": None, "network": None, "hostname": None} - async with httpx.AsyncClient(timeout=5.0) as client: - for key, path in [ - ("firmware", "/api/v1/system/firmware"), - ("network", "/api/v1/wifi/status"), - ("hostname", "/api/v1/wifi/hostname"), - ]: - try: - resp = await client.get(f"{base}{path}") - if resp.status_code == 200: - info[key] = resp.json() - except Exception: - pass # key already initialized to None - return info diff --git a/apps/server/api/routes/pour_over.py b/apps/server/api/routes/pour_over.py deleted file mode 100644 index bf12eae3..00000000 --- a/apps/server/api/routes/pour_over.py +++ /dev/null @@ -1,226 +0,0 @@ -"""Pour-over machine integration endpoints. - -Provides the lifecycle for temporary pour-over profiles: - - Prepare: adapt template → ephemeral load (no save to catalogue) - - Cleanup: purge + restore previous profile - - Force-cleanup: restore without purge (aborted shots) - - Active: query the current temp profile -""" - -import logging -from typing import Optional - -from fastapi import APIRouter, HTTPException -from pydantic import BaseModel, Field - -from services.pour_over_adapter import adapt_pour_over_profile -from services import temp_profile_service -from services.temp_profile_service import is_temp_profile -from services import pour_over_preferences -from services.mqtt_service import get_mqtt_subscriber - -router = APIRouter() -logger = logging.getLogger(__name__) - - -# --------------------------------------------------------------------------- -# Request / response models -# --------------------------------------------------------------------------- - - -class PrepareRequest(BaseModel): - target_weight: float = Field(..., gt=0, description="Target brew weight in grams") - bloom_enabled: bool = Field(True, description="Include bloom stage") - bloom_seconds: float = Field( - 30.0, gt=0, le=300, description="Bloom duration in seconds" - ) - dose_grams: Optional[float] = Field( - None, gt=0, description="Dose in grams (informational)" - ) - brew_ratio: Optional[float] = Field( - None, gt=0, description="Brew ratio (informational)" - ) - - -class PrepareResponse(BaseModel): - profile_id: str - profile_name: str - - -class CleanupResponse(BaseModel): - status: str - deleted_profile: Optional[str] = None - error: Optional[str] = None - - -class ActiveResponse(BaseModel): - active: bool - profile_id: Optional[str] = None - profile_name: Optional[str] = None - original_params: Optional[dict] = None - - -class PrepareRecipeRequest(BaseModel): - recipe_slug: str = Field(..., min_length=1, description="Recipe slug identifier") - - -# --------------------------------------------------------------------------- -# Endpoints -# --------------------------------------------------------------------------- - - -@router.post("/api/pour-over/prepare", response_model=PrepareResponse) -async def prepare_pour_over(body: PrepareRequest): - """Adapt the pour-over template and load it on the machine. - - Creates a temporary profile with the given parameters, uploads it to the - machine, and selects it so the user can press Start. - """ - try: - profile_json = adapt_pour_over_profile( - target_weight=body.target_weight, - bloom_enabled=body.bloom_enabled, - bloom_seconds=body.bloom_seconds, - dose_grams=body.dose_grams, - brew_ratio=body.brew_ratio, - ) - except FileNotFoundError as exc: - raise HTTPException(status_code=500, detail=str(exc)) from exc - - # Capture the currently-loaded profile name from the MQTT snapshot so - # we can restore it after the temporary pour-over profile is cleaned up. - previous_profile_name = None - try: - snapshot = get_mqtt_subscriber().get_snapshot() - name = snapshot.get("active_profile") - if name and not is_temp_profile(name): - previous_profile_name = name - except Exception as exc: - logger.warning("Could not read active profile from MQTT snapshot: %s", exc) - - result = await temp_profile_service.load_ephemeral( - profile_json, - params={ - "target_weight": body.target_weight, - "bloom_enabled": body.bloom_enabled, - "bloom_seconds": body.bloom_seconds, - "dose_grams": body.dose_grams, - "brew_ratio": body.brew_ratio, - }, - previous_profile_name=previous_profile_name, - ) - - return PrepareResponse( - profile_id=result["profile_id"], - profile_name=result["profile_name"], - ) - - -@router.post("/api/pour-over/prepare-recipe", response_model=PrepareResponse) -async def prepare_recipe(body: PrepareRecipeRequest): - """Adapt an OPOS recipe to a machine profile and load it. - - Creates a temporary profile for the given recipe, uploads it to the - machine, and selects it so the user can press Start. - """ - from services.recipe_adapter import adapt_recipe_to_profile, load_recipe - - try: - recipe = load_recipe(body.recipe_slug) - except FileNotFoundError as exc: - raise HTTPException(status_code=404, detail=str(exc)) from exc - - try: - profile_json = adapt_recipe_to_profile(recipe) - except Exception as exc: - raise HTTPException( - status_code=500, detail=f"Failed to adapt recipe: {exc}" - ) from exc - - previous_profile_name = None - try: - snapshot = get_mqtt_subscriber().get_snapshot() - name = snapshot.get("active_profile") - if name and not is_temp_profile(name): - previous_profile_name = name - except Exception as exc: - logger.warning("Could not read active profile from MQTT snapshot: %s", exc) - - result = await temp_profile_service.load_ephemeral( - profile_json, - params={"recipe_slug": body.recipe_slug}, - previous_profile_name=previous_profile_name, - ) - - return PrepareResponse( - profile_id=result["profile_id"], - profile_name=result["profile_name"], - ) - - -@router.post("/api/pour-over/cleanup", response_model=CleanupResponse) -async def cleanup_pour_over(): - """Purge the group head and delete the temporary profile.""" - result = await temp_profile_service.cleanup() - return CleanupResponse(**result) - - -@router.post("/api/pour-over/force-cleanup", response_model=CleanupResponse) -async def force_cleanup_pour_over(): - """Delete the temporary profile without purging (for aborted shots).""" - result = await temp_profile_service.force_cleanup() - return CleanupResponse(**result) - - -@router.get("/api/pour-over/active", response_model=ActiveResponse) -async def get_active_pour_over(): - """Return the currently active temporary profile, if any.""" - active = temp_profile_service.get_active() - if active is None: - return ActiveResponse(active=False) - return ActiveResponse( - active=True, - profile_id=active["profile_id"], - profile_name=active["profile_name"], - original_params=active["original_params"], - ) - - -# --------------------------------------------------------------------------- -# Preferences -# --------------------------------------------------------------------------- - - -class ModePreferences(BaseModel): - autoStart: bool = True - bloomEnabled: bool = True - bloomSeconds: float = 30 - bloomWeightMultiplier: float = 2 - machineIntegration: bool = False - doseGrams: Optional[float] = None - brewRatio: Optional[float] = None - - -class RecipeModePreferences(BaseModel): - machineIntegration: bool = False - autoStart: bool = True - progressionMode: str = "weight" - - -class PreferencesPayload(BaseModel): - free: ModePreferences = Field(default_factory=ModePreferences) - ratio: ModePreferences = Field(default_factory=ModePreferences) - recipe: RecipeModePreferences = Field(default_factory=RecipeModePreferences) - - -@router.get("/api/pour-over/preferences") -async def get_preferences(): - """Return the stored per-mode pour-over preferences.""" - return pour_over_preferences.load_preferences() - - -@router.put("/api/pour-over/preferences") -async def save_preferences(body: PreferencesPayload): - """Save per-mode pour-over preferences.""" - saved = pour_over_preferences.save_preferences(body.model_dump()) - return saved diff --git a/apps/server/api/routes/profiles.py b/apps/server/api/routes/profiles.py deleted file mode 100644 index 97868b05..00000000 --- a/apps/server/api/routes/profiles.py +++ /dev/null @@ -1,4418 +0,0 @@ -"""Profile management endpoints.""" - -from fastapi import APIRouter, Request, UploadFile, File, Form, HTTPException, Query -from typing import Any -from datetime import datetime, timezone -from pydantic import BaseModel -import json -import math -import os -import logging -import asyncio -import uuid -import base64 -import binascii -import ipaddress -import socket -import httpx -from urllib.parse import urlparse - -# Register HEIC/HEIF support with Pillow -try: - from pillow_heif import register_heif_opener - - register_heif_opener() -except ImportError: - pass # pillow-heif not installed; HEIC files will fail gracefully - -from config import DATA_DIR, MAX_UPLOAD_SIZE -from services.meticulous_service import ( - async_list_profiles, - async_get_profile, - async_save_profile, - async_create_profile, - async_delete_profile, - async_session_post, - MachineUnreachableError, - invalidate_profile_list_cache, - fetch_machine_profile_dict, - _normalize_profile_for_machine, -) -from services.cache_service import _get_cached_image, _set_cached_image -from services.gemini_service import get_vision_model, PROFILING_KNOWLEDGE -from services.profile_recommendation_service import ( - recommendation_service, - extract_fingerprint, -) -from services.history_service import ( - load_history, - save_history, - compute_content_hash, - update_entry_sync_fields, - _history_lock, -) -from services.analysis_service import ( - _generate_profile_description, - generate_estimated_target_curves, -) -from services.settings_service import load_settings -from services.scheduling_state import ( - _scheduled_shots, - _recurring_schedules, - save_scheduled_shots as _save_scheduled_shots, - save_recurring_schedules as _save_recurring_schedules, - get_next_occurrence as _get_next_occurrence, -) -from utils.file_utils import deep_convert_to_dict -from services.temp_profile_service import is_temp_profile, get_active, apply_variable_overrides - -router = APIRouter() -logger = logging.getLogger(__name__) - -IMAGE_CACHE_DIR = DATA_DIR / "image_cache" - -# Technique tag → PRESET_TAG label mapping (mirrors TypeScript TECHNIQUE_TO_LABEL) -_TECHNIQUE_TO_LABEL = { - "pressure-profile": "Pressure-controlled", - "flow-profile": "Flow-controlled", - "mixed-profile": "Mixed-controlled", - "preinfusion": "Pre-infusion", - "bloom": "Bloom", - "pulse": "Pulse", - "flat": "Flat profile", - "lever": "Lever", - "turbo": "Turbo", - "ramp": "Ramp", - "decline": "Decline", - "taper": "Taper", -} - - -def _temperature_range(temp: float) -> str: - """Map temperature to a labelled range matching TypeScript temperatureRange().""" - if temp < 82: - return "Very low temp (<82°C)" - if temp <= 84: - return "Low temp (82\u201384°C)" - if temp <= 87: - return "Warm (85\u201387°C)" - if temp <= 90: - return "Medium temp (88\u201390°C)" - if temp <= 93: - return "High temp (91\u201393°C)" - return "Very high temp (94°C+)" - - -def _weight_range(weight: float) -> str: - """Map target weight (grams) to an espresso size label matching TypeScript weightRange().""" - if weight <= 35: - return "Ristretto (\u226435g)" - if weight <= 44: - return "Normale (36\u201344g)" - if weight <= 54: - return "Lungo (45\u201354g)" - return "Allong\u00e9 (55g+)" - - -def _pressure_range(pressure: float) -> str: - """Map peak pressure (bar) to a range label matching TypeScript pressureRange().""" - if pressure <= 4: - return "Low pressure (\u22644 bar)" - if pressure <= 7: - return "Medium pressure (5\u20137 bar)" - if pressure <= 9: - return "Standard pressure (8\u20139 bar)" - return "High pressure (10+ bar)" - - -def _derive_structural_tags(profile_obj: object) -> list[str]: - """Derive user-facing structural tags from a profile object using extract_fingerprint. - - Must be called on the raw Meticulous profile object (with attributes), - NOT on a dict — extract_fingerprint uses getattr(). - """ - try: - fp = extract_fingerprint(profile_obj) - except (AttributeError, TypeError, KeyError) as exc: - logger.debug("Failed to extract fingerprint for structural tags: %s", exc) - return [] - - tags: set[str] = set() - for tt in fp.get("technique_tags", set()): - label = _TECHNIQUE_TO_LABEL.get(tt) - if label: - tags.add(label) - - temp = fp.get("temperature") - if temp is not None: - try: - tags.add(_temperature_range(float(temp))) - except (TypeError, ValueError): - pass - - final_weight = fp.get("final_weight") - if final_weight is not None: - try: - tags.add(_weight_range(float(final_weight))) - except (TypeError, ValueError): - pass - - peak_pressure = fp.get("peak_pressure", 0) - try: - pp = float(peak_pressure) - if pp > 0: - tags.add(_pressure_range(pp)) - except (TypeError, ValueError): - pass - - # Adaptive detection: check for $variable references in stages - stages = getattr(profile_obj, "stages", None) or [] - is_adaptive = False - for stage in stages: - dynamics = getattr(stage, "dynamics", None) - if dynamics: - for point in getattr(dynamics, "points", []) or []: - if len(point) >= 2: - if isinstance(point[0], str) and point[0].startswith("$"): - is_adaptive = True - if isinstance(point[1], str) and point[1].startswith("$"): - is_adaptive = True - for limit_obj in getattr(stage, "limits", []) or []: - val = getattr(limit_obj, "value", None) - if isinstance(val, str) and val.startswith("$"): - is_adaptive = True - for exit_obj in getattr(stage, "exit_triggers", []) or []: - val = getattr(exit_obj, "value", None) - if isinstance(val, str) and val.startswith("$"): - is_adaptive = True - if is_adaptive: - tags.add("Adaptive") - - # Structural bloom detection (content-based) - if "Bloom" not in tags: - for stage in stages: - stype = (getattr(stage, "type", "") or "").lower() - dynamics = getattr(stage, "dynamics", None) - pts = getattr(dynamics, "points", []) or [] if dynamics else [] - exits = getattr(stage, "exit_triggers", []) or [] - has_time_exit = any( - (getattr(e, "type", "") or "").lower() == "time" for e in exits - ) - if stype == "flow" and has_time_exit and pts: - try: - y_vals = [ - abs(float(p[1])) - for p in pts - if len(p) >= 2 - and not (isinstance(p[1], str) and p[1].startswith("$")) - ] - if y_vals and all(v <= 0.1 for v in y_vals): - tags.add("Bloom") - break - except (TypeError, ValueError): - pass - if stype == "power" and has_time_exit and pts: - try: - y_vals = [ - abs(float(p[1])) - for p in pts - if len(p) >= 2 - and not (isinstance(p[1], str) and p[1].startswith("$")) - ] - if y_vals and all(v <= 5 for v in y_vals): - tags.add("Bloom") - break - except (TypeError, ValueError): - pass - - # Structural pre-infusion detection (content-based) - if "Pre-infusion" not in tags and len(stages) >= 2: - first = stages[0] - ftype = (getattr(first, "type", "") or "").lower() - if ftype == "power": - tags.add("Pre-infusion") - else: - dynamics = getattr(first, "dynamics", None) - pts = getattr(dynamics, "points", []) or [] if dynamics else [] - try: - y_vals = [ - float(p[1]) - for p in pts - if len(p) >= 2 - and not (isinstance(p[1], str) and p[1].startswith("$")) - ] - max_y = max(y_vals) if y_vals else float("inf") - if (ftype == "pressure" and max_y <= 4) or ( - ftype == "flow" and max_y <= 2 - ): - tags.add("Pre-infusion") - except (TypeError, ValueError): - pass - - return sorted(tags) - - -def _derive_structural_tags_from_dict(profile_dict: dict) -> list[str]: - """Derive structural tags from a profile stored as a plain dict. - - Used for offline/history fallback where profile_json is a dict. - Wraps the dict in a SimpleNamespace so extract_fingerprint's getattr() calls work. - """ - from types import SimpleNamespace - - def _to_ns(obj: Any) -> Any: - if isinstance(obj, dict): - return SimpleNamespace(**{k: _to_ns(v) for k, v in obj.items()}) - if isinstance(obj, list): - return [_to_ns(item) for item in obj] - return obj - - try: - ns = _to_ns(profile_dict) - return _derive_structural_tags(ns) - except (AttributeError, TypeError, KeyError) as exc: - logger.debug("Failed to derive structural tags from dict: %s", exc) - return [] - - -# Simple placeholder SVG for profiles without images (coffee bean icon) -PLACEHOLDER_SVG = b""" - - - - -""" - - -def _parse_data_image_uri(image_uri: str) -> tuple[str, bytes]: - """Parse and decode a base64 data:image URI. - - Returns: - Tuple of (mime_type, decoded_bytes) - """ - try: - header, encoded_image = image_uri.split(",", 1) - except ValueError as exc: - raise HTTPException( - status_code=400, detail="Invalid profile image data" - ) from exc - - if not header.endswith(";base64") or not header.startswith("data:image/"): - raise HTTPException(status_code=400, detail="Invalid profile image data") - - mime_type = ( - header[5:-7].strip().lower() - ) # strip "data:" prefix and ";base64" suffix - if not mime_type.startswith("image/"): - raise HTTPException(status_code=400, detail="Invalid profile image data") - - try: - image_bytes = base64.b64decode(encoded_image, validate=True) - except (ValueError, binascii.Error) as exc: - raise HTTPException( - status_code=400, detail="Invalid profile image data" - ) from exc - - return mime_type, image_bytes - - -def _canonical_host(value: str) -> str: - parsed = urlparse(value if "://" in value else f"http://{value}") - host = (parsed.hostname or "").strip().lower() - if host in {"", "localhost"}: - return host - try: - return str(ipaddress.ip_address(host)) - except ValueError: - return host.rstrip(".") - - -def _is_allowed_machine_image_url(image_url: str) -> bool: - parsed = urlparse(image_url) - if parsed.scheme not in ("http", "https"): - return False - - target_host = (parsed.hostname or "").strip().lower() - if not target_host: - return False - - meticulous_ip = os.getenv("METICULOUS_IP") - if not meticulous_ip: - settings = load_settings() - meticulous_ip = (settings.get("meticulousIp") or "").strip() - if not meticulous_ip: - return False - - allowed_host = _canonical_host(meticulous_ip) - candidate_host = _canonical_host(target_host) - if candidate_host == allowed_host: - return True - - try: - allowed_resolved = {socket.gethostbyname(allowed_host)} - except Exception: - allowed_resolved = set() - - try: - candidate_resolved = {socket.gethostbyname(candidate_host)} - except Exception: - candidate_resolved = set() - - return bool( - allowed_resolved - and candidate_resolved - and (allowed_resolved & candidate_resolved) - ) - - -def process_image_for_profile( - image_data: bytes, content_type: str = "image/png" -) -> tuple[str, bytes]: - """Process an image for profile upload: crop to square, resize to 512x512, convert to base64 data URI. - - Args: - image_data: Raw image bytes - content_type: MIME type of the image - - Returns: - Tuple of (base64 data URI string, PNG bytes for caching) - """ - from PIL import Image as PILImage - import io - import base64 as b64 - - # Open image with PIL - img = PILImage.open(io.BytesIO(image_data)) - - # Convert to RGB if necessary (for PNG with alpha channel) - if img.mode in ("RGBA", "LA", "P"): - # Create white background for transparency - background = PILImage.new("RGB", img.size, (255, 255, 255)) - if img.mode == "P": - img = img.convert("RGBA") - if img.mode in ("RGBA", "LA"): - background.paste(img, mask=img.split()[-1]) # Use alpha channel as mask - img = background - else: - img = img.convert("RGB") - elif img.mode != "RGB": - img = img.convert("RGB") - - # Crop to square (center crop) - width, height = img.size - min_dim = min(width, height) - left = (width - min_dim) // 2 - top = (height - min_dim) // 2 - right = left + min_dim - bottom = top + min_dim - img = img.crop((left, top, right, bottom)) - - # Resize to 512x512 - img = img.resize((512, 512), PILImage.Resampling.LANCZOS) - - # Convert to PNG bytes - buffer = io.BytesIO() - img.save(buffer, format="PNG", optimize=True) - png_bytes = buffer.getvalue() - - # Encode to base64 data URI - b64_data = b64.b64encode(png_bytes).decode("utf-8") - return f"data:image/png;base64,{b64_data}", png_bytes - - -@router.post("/api/profile/{profile_name:path}/image") -async def upload_profile_image( - profile_name: str, request: Request, file: UploadFile = File(...) -): - """Upload an image for a profile. - - The image will be: - - Center-cropped to square aspect ratio - - Resized to 512x512 - - Converted to base64 data URI - - Saved to the profile on the Meticulous machine - - Args: - profile_name: Name of the profile to update - file: Image file to upload - - Returns: - Success status with profile info - """ - request_id = request.state.request_id - - try: - logger.info( - f"Uploading image for profile: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - # Validate file type - if not file.content_type or not file.content_type.startswith("image/"): - raise HTTPException(status_code=400, detail="File must be an image") - - # Read image data with size limit - image_data = await file.read() - - # Validate file size - if len(image_data) > MAX_UPLOAD_SIZE: - raise HTTPException( - status_code=413, - detail=f"Image too large. Maximum size is {MAX_UPLOAD_SIZE / (1024 * 1024):.0f}MB", - ) - - # Process image: crop, resize, encode (CPU-bound, offload to thread) - loop = asyncio.get_running_loop() - image_data_uri, png_bytes = await loop.run_in_executor( - None, process_image_for_profile, image_data, file.content_type - ) - - # Cache the processed image for fast retrieval - _set_cached_image(profile_name, png_bytes) - - logger.info( - f"Processed image for profile: {profile_name} (size: {len(image_data_uri)} chars)", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - # Find the profile by name - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - # Find matching profile - matching_profile = None - profile_fetch_error = None - for partial_profile in profiles_result: - if partial_profile.name == profile_name: - # Get full profile - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - # Non-UUID profile IDs cause 404 on machine API - profile_fetch_error = f"Unable to fetch profile details. Profile ID '{partial_profile.id}' may be invalid (non-UUID). Consider deleting and recreating this profile." - logger.warning( - f"Profile found in list but fetch failed: {profile_name}", - extra={ - "request_id": request_id, - "profile_id": partial_profile.id, - "error": full_profile.error, - }, - ) - continue - matching_profile = full_profile - break - - if not matching_profile: - error_detail = f"Profile '{profile_name}' not found on machine" - if profile_fetch_error: - error_detail = profile_fetch_error - raise HTTPException(status_code=404, detail=error_detail) - - # Update the profile with the new image - from meticulous.profile import Display - - # Preserve existing accent color if present - existing_accent = None - if matching_profile.display: - existing_accent = matching_profile.display.accentColor - - matching_profile.display = Display( - image=image_data_uri, accentColor=existing_accent - ) - - # Save the updated profile - save_result = await async_save_profile(matching_profile) - - if hasattr(save_result, "error") and save_result.error: - raise HTTPException( - status_code=502, detail=f"Failed to save profile: {save_result.error}" - ) - - logger.info( - f"Successfully updated profile image: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - return { - "status": "success", - "message": f"Image uploaded for profile '{profile_name}'", - "profile_id": matching_profile.id, - "image_size": len(image_data_uri), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to upload profile image: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to upload profile image", - }, - ) - - -# Image generation styles that work well for coffee/espresso profiles -IMAGE_GEN_STYLES = [ - "abstract", - "minimalist", - "pixel-art", - "watercolor", - "modern", - "vintage", -] - - -@router.post("/api/profile/{profile_name:path}/generate-image") -async def generate_profile_image( - profile_name: str, - request: Request, - style: str = "abstract", - tags: str = "", - preview: bool = False, - count: int = Query(default=1, ge=1, le=4), -): - """Generate an AI image for a profile using the active AI provider. - - Gemini uses the google-genai SDK (imagen-4.0-fast-generate-001); OpenAI and - OpenRouter use their OpenAI-compatible image endpoints (#505). Generates a - square image based on the profile name and optional tags. - - Args: - profile_name: Name of the profile - style: Image style (abstract, minimalist, pixel-art, watercolor, modern, vintage) - tags: Comma-separated tags to include in the prompt - preview: If true, return the image as base64 without saving to profile - count: Number of images to generate (1-4). When >1, returns an array of images. - - Returns: - count=1: Single-image response (backward compatible) - count>1: {"images": [...], "count": N} with per-image results - """ - request_id = request.state.request_id - - try: - logger.info( - f"Generating image for profile: {profile_name}", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "style": style, - "tags": tags, - "count": count, - }, - ) - - # Validate style - if style not in IMAGE_GEN_STYLES: - style = "abstract" - - # Parse tags - tag_list = [t.strip() for t in tags.split(",") if t.strip()] if tags else [] - - # Build the prompt using the advanced prompt builder - from prompt_builder import build_image_prompt_with_metadata - - prompt_result = build_image_prompt_with_metadata( - profile_name=profile_name, style=style, tags=tag_list - ) - - if not prompt_result or not isinstance(prompt_result, dict): - logger.error( - "Failed to build image prompt - prompt_result is invalid", - extra={"request_id": request_id, "prompt_result": prompt_result}, - ) - raise HTTPException( - status_code=500, detail="Failed to build image generation prompt" - ) - - full_prompt = prompt_result.get("prompt", "") - prompt_metadata = prompt_result.get("metadata", {}) - - logger.info( - "Built image generation prompt", - extra={ - "request_id": request_id, - "prompt": full_prompt[:200], - "influences_found": prompt_metadata.get("influences_found", 0), - "selected_colors": prompt_metadata.get("selected_colors", []), - "selected_moods": prompt_metadata.get("selected_moods", []), - }, - ) - - # Resolve the active provider. Gemini uses the native SDK; OpenAI and - # OpenRouter generate via their OpenAI-compatible image endpoints (#505). - from services.ai_providers import ( - generate_image_bytes, - get_active_provider_id, - provider_supports_image, - ) - - provider_id = get_active_provider_id() - if not provider_supports_image(provider_id): - raise HTTPException( - status_code=503, - detail=( - "The selected AI provider does not support image generation. " - "Switch to Gemini, OpenAI, or OpenRouter in Settings." - ), - ) - - gemini_client = None - genai_types = None - if provider_id == "gemini": - from google.genai import types as genai_types - from services.gemini_service import get_gemini_client - - try: - gemini_client = get_gemini_client() - except ValueError: - raise HTTPException( - status_code=503, - detail="AI features are unavailable. Please configure a Gemini API key in Settings.", - ) - - async def _generate_single(index: int) -> dict: - """Generate and process a single image. Returns result dict.""" - try: - if provider_id == "gemini": - gen_response = await asyncio.to_thread( - gemini_client.models.generate_images, - model="imagen-4.0-fast-generate-001", - prompt=full_prompt, - config=genai_types.GenerateImagesConfig( - number_of_images=1, - aspect_ratio="1:1", - output_mime_type="image/png", - ), - ) - - if ( - not gen_response.generated_images - or len(gen_response.generated_images) == 0 - ): - return { - "index": index, - "image": None, - "error": "No image returned by model", - } - - generated = gen_response.generated_images[0] - raw_bytes = generated.image.image_bytes - else: - raw_bytes = await generate_image_bytes(full_prompt, provider_id) - - loop = asyncio.get_running_loop() - data_uri, png_bytes = await loop.run_in_executor( - None, process_image_for_profile, raw_bytes, "image/png" - ) - - # Cache with indexed key for batch, plain key for single - cache_key = ( - f"{profile_name}_batch_{index}" if count > 1 else profile_name - ) - _set_cached_image(cache_key, png_bytes) - - return {"index": index, "image": data_uri} - except Exception as exc: - logger.warning( - f"Batch image {index} failed: {exc}", - extra={"request_id": request_id, "index": index}, - ) - return {"index": index, "image": None, "error": "Image generation failed"} - - # --- Single image (count=1): preserve original response format --- - if count == 1: - result = await _generate_single(0) - - if result.get("error"): - raise HTTPException( - status_code=500, - detail=result["error"], - ) - - image_data_uri = result["image"] - - logger.info( - f"Processed generated image for profile: {profile_name} (size: {len(image_data_uri)} chars)", - extra={"request_id": request_id}, - ) - - if preview: - logger.info( - f"Returning preview image for profile: {profile_name}", - extra={"request_id": request_id, "style": style}, - ) - return { - "status": "preview", - "message": f"Preview image generated for profile '{profile_name}'", - "style": style, - "prompt": full_prompt, - "prompt_metadata": prompt_metadata, - "image_data": image_data_uri, - } - - # Find the profile and update it - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, - detail=f"Machine API error: {profiles_result.error}", - ) - - matching_profile = None - for partial_profile in profiles_result: - if partial_profile.name == profile_name: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - matching_profile = full_profile - break - - if not matching_profile: - raise HTTPException( - status_code=404, - detail=f"Profile '{profile_name}' not found on machine", - ) - - from meticulous.profile import Display - - existing_accent = None - if matching_profile.display: - existing_accent = matching_profile.display.accentColor - - matching_profile.display = Display( - image=image_data_uri, accentColor=existing_accent - ) - - save_result = await async_save_profile(matching_profile) - - if hasattr(save_result, "error") and save_result.error: - raise HTTPException( - status_code=502, - detail=f"Failed to save profile: {save_result.error}", - ) - - logger.info( - f"Successfully generated and saved profile image: {profile_name}", - extra={"request_id": request_id, "style": style}, - ) - - return { - "status": "success", - "message": f"Image generated for profile '{profile_name}'", - "profile_id": matching_profile.id, - "style": style, - "prompt": full_prompt, - "prompt_metadata": prompt_metadata, - } - - # --- Batch mode (count > 1): parallel generation, preview-only --- - results = await asyncio.gather( - *[_generate_single(i) for i in range(count)] - ) - - successful = [r for r in results if r.get("image")] - logger.info( - f"Batch image generation: {len(successful)}/{count} succeeded for {profile_name}", - extra={"request_id": request_id}, - ) - - if not successful: - raise HTTPException( - status_code=500, - detail="All image generation attempts failed", - ) - - return { - "status": "preview", - "message": f"Generated {len(successful)} of {count} images for profile '{profile_name}'", - "style": style, - "prompt": full_prompt, - "prompt_metadata": prompt_metadata, - "images": results, - "count": count, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to generate profile image: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to generate profile image", - }, - ) - - -class ApplyImageRequest(BaseModel): - image_data: str # Base64 data URI - - -@router.post("/api/profile/{profile_name:path}/apply-image") -async def apply_profile_image( - profile_name: str, request: Request, body: ApplyImageRequest -): - """Apply a previously generated (previewed) image to a profile. - - This endpoint saves a base64 image data URI to the profile's display. - Used after previewing a generated image and choosing to keep it. - - Args: - profile_name: Name of the profile - body: Request body containing image_data (base64 data URI) - - Returns: - Success status with profile info - """ - request_id = request.state.request_id - - try: - logger.info( - f"Applying image to profile: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - image_data_uri = body.image_data - - # Validate it looks like a data URI - if not image_data_uri.startswith("data:image/"): - raise HTTPException( - status_code=400, detail="Invalid image data - must be a data URI" - ) - - # Extract and cache the PNG bytes from the data URI - from PIL import Image as PILImage - import io - import base64 as b64 - - try: - # Format: data:image/png;base64, - header, b64_data = image_data_uri.split(",", 1) - png_bytes = b64.b64decode(b64_data) - - # Validate decoded size - if len(png_bytes) > MAX_UPLOAD_SIZE: - raise HTTPException( - status_code=413, - detail=f"Decoded image too large. Maximum size is {MAX_UPLOAD_SIZE / (1024 * 1024):.0f}MB", - ) - - # Validate it's actually a valid PNG image - try: - img = PILImage.open(io.BytesIO(png_bytes)) - img.verify() # Verify it's a valid image - # Re-open since verify() closes the file - img = PILImage.open(io.BytesIO(png_bytes)) - if img.format != "PNG": - raise HTTPException( - status_code=400, detail=f"Expected PNG format, got {img.format}" - ) - except HTTPException: - raise - except Exception as img_err: - raise HTTPException( - status_code=400, detail=f"Invalid image data: {str(img_err)}" - ) - - _set_cached_image(profile_name, png_bytes) - except HTTPException: - # Re-raise HTTP exceptions to preserve the status code and error message - # that was specifically created for the API client - raise - except Exception as e: - logger.warning(f"Failed to process/cache image from apply-image: {e}") - raise HTTPException( - status_code=400, detail=f"Failed to decode image data: {str(e)}" - ) - - # Find the profile and update it - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - matching_profile = None - for partial_profile in profiles_result: - if partial_profile.name == profile_name: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - matching_profile = full_profile - break - - if not matching_profile: - raise HTTPException( - status_code=404, detail=f"Profile '{profile_name}' not found on machine" - ) - - # Update the display image - from meticulous.profile import Display - - existing_accent = None - if matching_profile.display: - existing_accent = matching_profile.display.accentColor - - matching_profile.display = Display( - image=image_data_uri, accentColor=existing_accent - ) - - save_result = await async_save_profile(matching_profile) - - if hasattr(save_result, "error") and save_result.error: - raise HTTPException( - status_code=502, detail=f"Failed to save profile: {save_result.error}" - ) - - logger.info( - f"Successfully applied image to profile: {profile_name}", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "message": f"Image applied to profile '{profile_name}'", - "profile_id": matching_profile.id, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to apply profile image: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to apply profile image", - }, - ) - - -@router.get("/api/profile/{profile_name:path}/image-proxy") -async def proxy_profile_image( - profile_name: str, request: Request, force_refresh: bool = False -): - """Proxy endpoint to fetch profile image from the Meticulous machine. - - This fetches the image from the machine and returns it directly, - so the frontend doesn't need to know the machine IP. - Images are cached indefinitely on the server for fast loading. - - Args: - profile_name: Name of the profile - force_refresh: If true, bypass cache and fetch from machine - - Returns: - The profile image as PNG, or 404 if not found - """ - request_id = request.state.request_id - from fastapi.responses import Response - - # Check cache first (unless forcing refresh) - if not force_refresh: - cached_image = _get_cached_image(profile_name) - if cached_image: - logger.info( - f"Returning cached image for profile: {profile_name}", - extra={ - "request_id": request_id, - "from_cache": True, - "size": len(cached_image), - }, - ) - return Response(content=cached_image, media_type="image/png") - - try: - # First get the profile to find the image path - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - # Find matching profile - for partial_profile in profiles_result: - if partial_profile.name == profile_name: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - - if not full_profile.display or not full_profile.display.image: - raise HTTPException(status_code=404, detail="Profile has no image") - - image_path = full_profile.display.image - - if image_path.startswith("data:image/"): - mime_type, image_bytes = _parse_data_image_uri(image_path) - - _set_cached_image(profile_name, image_bytes) - return Response(content=image_bytes, media_type=mime_type) - - if image_path.startswith(("http://", "https://")): - image_url = image_path - if not _is_allowed_machine_image_url(image_url): - raise HTTPException( - status_code=400, - detail="Profile image URL host is not allowed", - ) - else: - # Construct full URL to the machine - meticulous_ip = os.getenv("METICULOUS_IP") - if not meticulous_ip: - settings = load_settings() - meticulous_ip = settings.get("meticulousIp", "").strip() - if not meticulous_ip: - raise HTTPException( - status_code=500, detail="METICULOUS_IP not configured" - ) - - image_url = f"http://{meticulous_ip}{image_path}" - - # Fetch the image from the machine - async with httpx.AsyncClient() as client: - response = await client.get(image_url, timeout=10.0) - - if response.status_code != 200: - raise HTTPException( - status_code=response.status_code, - detail="Failed to fetch image from machine", - ) - - raw_content_type = ( - response.headers.get("content-type") - if hasattr(response, "headers") - else None - ) - if not isinstance(raw_content_type, str): - raw_content_type = "image/png" - - media_type = ( - raw_content_type.split(";", 1)[0].strip() or "image/png" - ) - if not media_type.startswith("image/"): - media_type = "image/png" - - # Cache the image for future requests - _set_cached_image(profile_name, response.content) - - # Return the image with appropriate content type - return Response(content=response.content, media_type=media_type) - - # Profile not found on machine - return placeholder instead of 404 - # This prevents browser console errors for deleted/missing profiles - logger.debug( - f"Profile '{profile_name}' not found on machine, returning placeholder", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - return Response(content=PLACEHOLDER_SVG, media_type="image/svg+xml") - - except HTTPException as he: - # If it's a "no image" case, return placeholder - if he.status_code == 404: - return Response(content=PLACEHOLDER_SVG, media_type="image/svg+xml") - raise - except httpx.TimeoutException as e: - logger.warning( - f"Timed out while proxying profile image: {str(e)}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - raise HTTPException(status_code=504, detail="Timed out fetching profile image") - except httpx.HTTPError as e: - logger.warning( - f"HTTP error while proxying profile image: {str(e)}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - raise HTTPException( - status_code=502, detail="Failed to fetch image from machine" - ) - except Exception as e: - logger.error( - f"Failed to proxy profile image: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "profile_name": profile_name}, - ) - raise HTTPException( - status_code=500, detail=f"Failed to fetch profile image: {str(e)}" - ) - - -@router.get("/api/profile/{profile_name:path}/target-curves") -async def get_profile_target_curves(profile_name: str, request: Request): - """Return estimated target curves for a profile (no shot data needed). - - Used by the live-view to show goal overlay lines during a shot. - Stage durations are estimated from exit-trigger time values. - - Returns: - {status, target_curves: [{time, target_pressure?, target_flow?, stage_name}]} - """ - request_id = request.state.request_id - - try: - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException(status_code=502, detail="Machine API error") - - for partial in profiles_result: - if partial.name == profile_name: - full_profile = await async_get_profile(partial.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - - # Build dict for the analysis helper - profile_dict: dict = {} - for attr in ["stages", "variables"]: - val = getattr(full_profile, attr, None) - if val is not None: - if isinstance(val, list): - profile_dict[attr] = [ - item.__dict__ if hasattr(item, "__dict__") else item - for item in val - ] - # Flatten nested __dict__ inside list items - for i, item in enumerate(profile_dict[attr]): - if isinstance(item, dict): - for k, v in list(item.items()): - if hasattr(v, "__dict__"): - item[k] = v.__dict__ - elif isinstance(v, list): - item[k] = [ - el.__dict__ - if hasattr(el, "__dict__") - else el - for el in v - ] - else: - profile_dict[attr] = val - - # Apply active temporary variable overrides so the live graph - # reflects the shot actually running (ephemeral override load), - # not the saved profile. The active temp profile keeps the - # original name when save_mode is "none"/"save_original". - active = get_active() - if active and active.get("profile_name") == profile_name: - overrides = (active.get("original_params") or {}).get( - "overrides" - ) or {} - if overrides: - profile_dict = apply_variable_overrides( - profile_dict, overrides - ) - - curves = generate_estimated_target_curves(profile_dict) - return {"status": "success", "target_curves": curves} - - raise HTTPException( - status_code=404, detail=f"Profile '{profile_name}' not found" - ) - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get target curves: {e}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException(status_code=500, detail=str(e)) - - -@router.get("/api/profile/{profile_name:path}") -async def get_profile_info( - profile_name: str, request: Request, include_stages: bool = False -): - """Get profile information from the Meticulous machine. - - Args: - profile_name: Name of the profile to fetch - include_stages: If True, include full stage/variable data for breakdown display - - Returns: - Profile information including image if set - """ - request_id = request.state.request_id - - try: - logger.info( - f"Fetching profile info: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - # Find matching profile - for partial_profile in profiles_result: - if partial_profile.name == profile_name: - # Get full profile - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - - # Extract image from display if present - image = None - accent_color = None - if full_profile.display: - image = full_profile.display.image - accent_color = full_profile.display.accentColor - - result = { - "status": "success", - "profile": { - "id": full_profile.id, - "name": full_profile.name, - "author": full_profile.author, - "temperature": full_profile.temperature, - "final_weight": full_profile.final_weight, - "image": image, - "accent_color": accent_color, - }, - } - - # Optionally include full stage/variable data - if include_stages: - - def _serialise(obj): - """Recursively convert API objects to dicts.""" - if obj is None: - return None - if isinstance(obj, (str, int, float, bool)): - return obj - if isinstance(obj, list): - return [_serialise(i) for i in obj] - if isinstance(obj, dict): - return {k: _serialise(v) for k, v in obj.items()} - if hasattr(obj, "__dict__"): - return { - k: _serialise(v) - for k, v in obj.__dict__.items() - if v is not None - } - return obj - - if hasattr(full_profile, "stages") and full_profile.stages: - result["profile"]["stages"] = _serialise(full_profile.stages) - if hasattr(full_profile, "variables") and full_profile.variables: - result["profile"]["variables"] = _serialise( - full_profile.variables - ) - - return result - - # Profile not found - return graceful response instead of 404 - # This prevents browser console errors when viewing history with deleted profiles - logger.info( - f"Profile not found on machine: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - return { - "status": "not_found", - "profile": None, - "message": f"Profile '{profile_name}' not found on machine", - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get profile info: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to get profile info", - }, - ) - - -@router.put("/profile/{profile_name:path}/edit") -@router.put("/api/profile/{profile_name:path}/edit") -async def edit_profile(profile_name: str, request: Request): - """Edit an existing profile on the Meticulous machine. - - Supports updating name, temperature, final_weight, variables, and author. - If the name changes, all matching history entries are updated too. - - Body: - name?: str – new profile name (non-empty) - temperature?: float – brew temperature (70-100 °C) - final_weight?: float – target weight (> 0) - variables?: list – [{key: str, value: float|str}, ...] - author?: str – profile author - """ - request_id = request.state.request_id - - try: - body = await request.json() - - # --- validation ----------------------------------------------------------- - new_name = body.get("name") - if new_name is not None: - if not isinstance(new_name, str) or not new_name.strip(): - raise HTTPException( - status_code=400, detail="Profile name must be a non-empty string" - ) - new_name = new_name.strip() - - temperature = body.get("temperature") - if temperature is not None: - try: - temperature = float(temperature) - except (TypeError, ValueError): - raise HTTPException( - status_code=400, detail="Temperature must be a number" - ) - if temperature > 100: - raise HTTPException( - status_code=400, detail="Temperature must not exceed 100 °C" - ) - - final_weight = body.get("final_weight") - if final_weight is not None: - try: - final_weight = float(final_weight) - except (TypeError, ValueError): - raise HTTPException( - status_code=400, detail="Final weight must be a number" - ) - if final_weight <= 0: - raise HTTPException( - status_code=400, detail="Final weight must be greater than 0" - ) - - variables = body.get("variables") - author = body.get("author") - - if all( - v is None for v in [new_name, temperature, final_weight, variables, author] - ): - raise HTTPException( - status_code=400, detail="At least one field to update is required" - ) - - # --- find profile by name ------------------------------------------------ - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - matching_profile = None - for p in profiles_result: - if p.name == profile_name: - matching_profile = p - break - - if matching_profile is None: - raise HTTPException( - status_code=404, detail=f"Profile '{profile_name}' not found on machine" - ) - - full_profile = await async_get_profile(matching_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - raise HTTPException( - status_code=502, detail=f"Failed to fetch profile: {full_profile.error}" - ) - - # --- apply changes directly on profile object --------------------------- - old_name = full_profile.name - - if new_name is not None: - full_profile.name = new_name - if temperature is not None: - full_profile.temperature = temperature - if final_weight is not None: - full_profile.final_weight = final_weight - if author is not None: - full_profile.author = author - - if ( - variables is not None - and hasattr(full_profile, "variables") - and full_profile.variables - ): - incoming = { - v["key"]: v["value"] for v in variables if "key" in v and "value" in v - } - for var in full_profile.variables: - var_key = getattr(var, "key", None) - if var_key and var_key in incoming: - var.value = incoming[var_key] - - # --- persist ------------------------------------------------------------- - await async_save_profile(full_profile) - recommendation_service.invalidate_cache() - - logger.info( - f"Profile edited: '{old_name}' → '{full_profile.name}'", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - # --- cascade rename into history ----------------------------------------- - if new_name is not None and new_name != old_name: - with _history_lock: - history = load_history() - updated = 0 - for entry in history: - if entry.get("profile_name") == old_name: - entry["profile_name"] = new_name - updated += 1 - if updated: - save_history(history) - if updated: - logger.info( - f"Updated {updated} history entries from '{old_name}' to '{new_name}'", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "profile": deep_convert_to_dict(full_profile), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to edit profile: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -# ============================================================================ -# Profile Import Endpoints -# ============================================================================ - - -@router.get("/api/machine/profiles") -async def list_machine_profiles(request: Request): - """List all profiles from the Meticulous machine with full details. - - Returns profiles that are on the machine but may not be in the MeticAI history. - """ - request_id = request.state.request_id - - try: - logger.info( - "Fetching all profiles from machine", extra={"request_id": request_id} - ) - - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - profiles = [] - for partial_profile in profiles_result: - try: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - # Fall back to partial profile data (non-UUID IDs cause 404 on get) - logger.warning( - f"Could not fetch full profile {partial_profile.name}, using partial data", - extra={ - "request_id": request_id, - "profile_id": partial_profile.id, - }, - ) - full_profile = partial_profile - - # Check if this profile exists in our history - in_history = False - try: - history = load_history() - entries = ( - history - if isinstance(history, list) - else history.get("entries", []) - ) - profile_name = getattr(full_profile, "name", None) or getattr( - partial_profile, "name", None - ) - in_history = any( - entry.get("profile_name") == profile_name for entry in entries - ) - except Exception: - pass - - # Convert profile to dict with full parameter data - profile_dict = { - "id": getattr(full_profile, "id", partial_profile.id), - "name": getattr(full_profile, "name", partial_profile.name), - "author": getattr( - full_profile, "author", getattr(partial_profile, "author", None) - ), - "temperature": getattr( - full_profile, - "temperature", - getattr(partial_profile, "temperature", None), - ), - "final_weight": getattr( - full_profile, - "final_weight", - getattr(partial_profile, "final_weight", None), - ), - "in_history": in_history, - "has_description": False, - "description": None, - "derived_tags": _derive_structural_tags(full_profile), - } - stages = getattr(full_profile, "stages", None) - variables = getattr(full_profile, "variables", None) - display = getattr(full_profile, "display", None) - if stages: - profile_dict["stages"] = deep_convert_to_dict(stages) - if variables: - profile_dict["variables"] = deep_convert_to_dict(variables) - if display: - display_dict = deep_convert_to_dict(display) - if isinstance(display_dict, dict): - display_dict.pop("image", None) - profile_dict["display"] = display_dict - - # Check for existing description in history - if in_history: - try: - for entry in entries: - if entry.get("profile_name") == profile_dict["name"]: - profile_dict["user_preferences"] = entry.get( - "user_preferences" - ) - if entry.get("reply"): - profile_dict["has_description"] = True - if entry.get("ai_tags"): - profile_dict["ai_tags"] = entry.get("ai_tags") - break - except Exception: - pass - - profiles.append(profile_dict) - except Exception as e: - # Fall back to partial profile data on exception (e.g., 404 for non-UUID IDs) - logger.warning( - f"Failed to fetch profile {partial_profile.name}, using partial data: {e}", - extra={"request_id": request_id}, - ) - # Use partial profile data instead of skipping - profile_dict = { - "id": partial_profile.id, - "name": partial_profile.name, - "author": getattr(partial_profile, "author", None), - "temperature": getattr(partial_profile, "temperature", None), - "final_weight": getattr(partial_profile, "final_weight", None), - "in_history": False, - "has_description": False, - "description": None, - "user_preferences": None, - "derived_tags": _derive_structural_tags(partial_profile), - } - profiles.append(profile_dict) - - logger.info( - f"Found {len(profiles)} profiles on machine", - extra={"request_id": request_id, "profile_count": len(profiles)}, - ) - - return {"status": "success", "profiles": profiles, "total": len(profiles)} - - except MachineUnreachableError: - # Offline fallback — return profiles from history - logger.info( - "Machine unreachable, returning history-based profiles", - extra={"request_id": request_id}, - ) - try: - history = load_history() - entries = ( - history if isinstance(history, list) else history.get("entries", []) - ) - profiles = [] - seen: set[str] = set() - for entry in entries: - name = entry.get("profile_name") - if not name or name in seen: - continue - seen.add(name) - pj = entry.get("profile_json") or {} - profiles.append( - { - "id": entry.get("id", ""), - "name": name, - "author": pj.get("author"), - "temperature": pj.get("temperature"), - "final_weight": pj.get("final_weight"), - "in_history": True, - "has_description": bool(entry.get("reply")), - "user_preferences": entry.get("user_preferences"), - "derived_tags": _derive_structural_tags_from_dict(pj) - if pj - else [], - "ai_tags": entry.get("ai_tags", []), - } - ) - return { - "status": "success", - "profiles": profiles, - "total": len(profiles), - "offline": True, - } - except Exception as fallback_err: - logger.warning( - f"Offline fallback also failed: {fallback_err}", - extra={"request_id": request_id}, - ) - raise MachineUnreachableError() from fallback_err - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to list machine profiles: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/machine/profiles/order") -@router.post("/api/machine/profiles/order") -async def reorder_machine_profiles(request: Request): - """Persist a new profile display order on the Meticulous machine. - - The machine keeps profile ordering in the ``profile_order`` user setting — a - list of profile IDs. The Meticulous backend serves ``/api/v1/profile/list`` - in that order, so persisting a new order is a matter of POSTing the reordered - ID list to ``/api/v1/settings``. - """ - request_id = request.state.request_id - - try: - body = await request.json() - except Exception: - raise HTTPException(status_code=400, detail="Invalid JSON body") - - order = body.get("order") if isinstance(body, dict) else None - if not isinstance(order, list) or not order: - raise HTTPException( - status_code=400, detail="'order' must be a non-empty list of profile IDs" - ) - if not all(isinstance(pid, str) and pid for pid in order): - raise HTTPException( - status_code=400, detail="'order' must contain only non-empty profile IDs" - ) - - try: - # The list cache reflects the old order — drop it so the next fetch - # returns the machine's freshly persisted ordering. - try: - invalidate_profile_list_cache() - except Exception: - pass - - response = await async_session_post( - "/api/v1/settings", {"profile_order": order} - ) - status = getattr(response, "status_code", 200) - if status >= 400: - raise HTTPException( - status_code=502, - detail=f"Machine rejected profile order update (HTTP {status})", - ) - - logger.info( - "Persisted new profile order", - extra={"request_id": request_id, "profile_count": len(order)}, - ) - return {"status": "success", "order": order} - - except MachineUnreachableError as exc: - raise HTTPException(status_code=503, detail="Machine unreachable") from exc - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to reorder machine profiles: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.get("/machine/profile/{profile_id}") -@router.get("/api/machine/profile/{profile_id}") -async def get_machine_profile(profile_id: str, request: Request): - """Get a single profile from the Meticulous machine with variables. - - Returns the profile dict including a ``variables`` array. When the - machine profile does not contain an explicit variables list the endpoint - synthesises basic entries from the top-level ``final_weight`` and - ``temperature`` fields so that callers always get adjustable parameters. - """ - request_id = request.state.request_id - - try: - logger.info( - f"Fetching profile: {profile_id}", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - profile = await async_get_profile(profile_id) - - if hasattr(profile, "error") and profile.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profile.error}" - ) - - # Convert to dict for JSON serialization - profile_json: dict = {} - for attr in [ - "id", - "name", - "author", - "temperature", - "final_weight", - "stages", - "variables", - "display", - "isDefault", - "source", - "beverage_type", - "tank_temperature", - ]: - if hasattr(profile, attr): - val = getattr(profile, attr) - if val is not None: - if hasattr(val, "__dict__"): - profile_json[attr] = val.__dict__ - elif isinstance(val, list): - profile_json[attr] = [ - item.__dict__ if hasattr(item, "__dict__") else item - for item in val - ] - else: - profile_json[attr] = val - - # Ensure there is always a variables array. Merge well-known - # top-level fields (final_weight, temperature) with any explicit - # variables so the UI can always offer adjustment sliders. - variables = profile_json.get("variables") - if not variables or not isinstance(variables, list): - variables = [] - - existing_keys = {v.get("key") for v in variables if isinstance(v, dict)} - if ( - profile_json.get("final_weight") is not None - and "final_weight" not in existing_keys - ): - variables.append( - { - "key": "final_weight", - "name": "Final Weight", - "type": "weight", - "value": float(profile_json["final_weight"]), - } - ) - if ( - profile_json.get("temperature") is not None - and "temperature" not in existing_keys - ): - variables.append( - { - "key": "temperature", - "name": "Temperature", - "type": "temperature", - "value": float(profile_json["temperature"]), - } - ) - profile_json["variables"] = variables - - return { - "status": "success", - "profile": profile_json, - "variables": profile_json.get("variables", []), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.get("/api/machine/profile/{profile_id}/json") -async def get_machine_profile_json(profile_id: str, request: Request): - """Get the full profile JSON from the Meticulous machine. - - Fetches the profile directly from the machine's REST API and returns - the raw JSON as-is — no SDK object conversion, so all fields are - preserved exactly as the machine stores them. - - Args: - profile_id: The profile ID to fetch - - Returns: - Full profile JSON suitable for export/import - """ - request_id = request.state.request_id - - try: - logger.info( - f"Fetching profile JSON: {profile_id}", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - profile_dict = await fetch_machine_profile_dict(profile_id) - - return {"status": "success", "profile": profile_dict} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get profile JSON: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException(status_code=502, detail=f"Machine API error: {str(e)}") - - -@router.delete("/api/machine/profile/{profile_id}") -async def delete_machine_profile(profile_id: str, request: Request): - """Delete a profile from the Meticulous machine. - - Args: - profile_id: The profile ID to delete - - Returns: - Status of the deletion operation - """ - request_id = request.state.request_id - - try: - # First get the profile to log its name - profile = await async_get_profile(profile_id) - profile_name = getattr(profile, "name", profile_id) if profile else profile_id - - logger.info( - f"Deleting profile: {profile_name} ({profile_id})", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - await async_delete_profile(profile_id) - recommendation_service.invalidate_cache() - - logger.info( - f"Successfully deleted profile: {profile_name}", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - return { - "status": "success", - "message": f"Profile '{profile_name}' deleted successfully", - "profile_id": profile_id, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to delete profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/machine/profiles/bulk-delete") -async def bulk_delete_machine_profiles(request: Request): - """Delete multiple profiles from the Meticulous machine. - - Body: - profile_ids: list of profile ID strings to delete - - Returns: - Summary with succeeded / failed counts and per-profile results. - """ - request_id = request.state.request_id - - try: - body = await request.json() - profile_ids = body.get("profile_ids", []) - - if not isinstance(profile_ids, list) or len(profile_ids) == 0: - raise HTTPException( - status_code=400, - detail="profile_ids must be a non-empty list", - ) - - results: list[dict] = [] - succeeded = 0 - - for pid in profile_ids: - try: - profile = await async_get_profile(pid) - name = getattr(profile, "name", pid) if profile else pid - await async_delete_profile(pid) - results.append({"profile_id": pid, "name": name, "status": "success"}) - succeeded += 1 - except Exception as e: - logger.warning( - f"Bulk delete: failed to delete {pid}: {e}", - extra={"request_id": request_id}, - ) - results.append({"profile_id": pid, "status": "error", "error": str(e)}) - - recommendation_service.invalidate_cache() - - logger.info( - f"Bulk delete: {succeeded}/{len(profile_ids)} profiles deleted", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "deleted": succeeded, - "failed": len(profile_ids) - succeeded, - "total": len(profile_ids), - "results": results, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Bulk delete failed: {e}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.patch("/api/machine/profile/{profile_id}") -async def update_machine_profile(profile_id: str, request: Request): - """Update a profile on the Meticulous machine. - - Currently supports: - - Renaming (via "name" field) - - Args: - profile_id: The profile ID to update - - Body: - name: New name for the profile (optional) - - Returns: - Updated profile information - """ - request_id = request.state.request_id - - try: - body = await request.json() - new_name = body.get("name") - - if not new_name: - raise HTTPException( - status_code=400, - detail="At least one field to update is required (e.g., 'name')", - ) - - # Get the current profile - profile = await async_get_profile(profile_id) - if hasattr(profile, "error") and profile.error: - raise HTTPException( - status_code=404, detail=f"Profile not found: {profile_id}" - ) - - old_name = getattr(profile, "name", profile_id) - - logger.info( - f"Renaming profile '{old_name}' to '{new_name}'", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - # Convert profile to dict for modification - profile_dict = {} - for attr in [ - "id", - "name", - "author", - "author_id", - "temperature", - "final_weight", - "stages", - "variables", - "display", - "isDefault", - "source", - "beverage_type", - "tank_temperature", - "previous_authors", - ]: - if hasattr(profile, attr): - val = getattr(profile, attr) - if val is not None: - if hasattr(val, "__dict__"): - profile_dict[attr] = val.__dict__ - elif isinstance(val, list): - profile_dict[attr] = [ - item.__dict__ if hasattr(item, "__dict__") else item - for item in val - ] - else: - profile_dict[attr] = val - - # Update the name - profile_dict["name"] = new_name - - # Save the updated profile - await async_save_profile(profile_dict) - recommendation_service.invalidate_cache() - - logger.info( - f"Successfully renamed profile to '{new_name}'", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - return { - "status": "success", - "message": f"Profile renamed from '{old_name}' to '{new_name}'", - "profile_id": profile_id, - "old_name": old_name, - "new_name": new_name, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to update profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/profile/import") -async def import_profile(request: Request): - """Import a profile into the MeticAI history. - - The profile can come from: - - A JSON file upload - - A profile already on the machine (by ID) - - If the profile has no description, it will be sent to the LLM for analysis. - """ - request_id = request.state.request_id - - try: - body = await request.json() - profile_json = body.get("profile") - generate_description = body.get("generate_description", True) - source = body.get("source", "file") # "file" or "machine" - - if not profile_json: - raise HTTPException(status_code=400, detail="No profile JSON provided") - - profile_name = profile_json.get("name", "Imported Profile") - - logger.info( - f"Importing profile: {profile_name}", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "source": source, - "generate_description": generate_description, - }, - ) - - # Check if profile already exists in history - existing_entry = None - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - for entry in entries: - if entry.get("profile_name") == profile_name: - existing_entry = entry - break - - if existing_entry: - return { - "status": "exists", - "message": f"Profile '{profile_name}' already exists in history", - "entry_id": existing_entry.get("id"), - } - - # Generate description if requested - reply = None - if generate_description: - try: - reply = await _generate_profile_description(profile_json, request_id) - except Exception as e: - logger.warning( - f"Failed to generate description: {e}", - extra={"request_id": request_id}, - ) - from services.analysis_service import _build_static_profile_description - - reply = _build_static_profile_description(profile_json) - else: - from services.analysis_service import _build_static_profile_description - - reply = _build_static_profile_description(profile_json) - - # Normalise the JSON for storage. For machine imports the profile - # already exists on the machine so we fetch canonical JSON by ID. - # For file imports we normalise locally first, then upgrade after upload. - stored_json = deep_convert_to_dict(profile_json) - if source == "machine": - # Profile is already on machine — try to fetch canonical version - machine_id = ( - profile_json.get("id") if isinstance(profile_json, dict) else None - ) - if machine_id: - try: - stored_json = await fetch_machine_profile_dict(machine_id) - except Exception: - # Fall back to local normalisation - stored_json = _normalize_profile_for_machine(stored_json) - else: - stored_json = _normalize_profile_for_machine(stored_json) - else: - # File import — normalise locally as baseline - stored_json = _normalize_profile_for_machine(stored_json) - - # Re-derive profile_name from the finalised JSON so the history entry - # name always matches stored_json["name"] (normalisation may change it). - if isinstance(stored_json, dict) and stored_json.get("name"): - profile_name = stored_json["name"] - - # Create history entry - entry_id = str(uuid.uuid4()) - created_at = datetime.now(timezone.utc).isoformat() - - deep_convert_to_dict(profile_json) - new_entry = { - "id": entry_id, - "created_at": created_at, - "profile_name": profile_name, - "user_preferences": f"Imported from {source}", - "reply": reply, - "profile_json": stored_json, - "imported": True, - "import_source": source, - } - - if stored_json and isinstance(stored_json, dict): - new_entry["content_hash"] = compute_content_hash(stored_json) - - # Save to history using cache-aware save to keep in-memory cache in sync - with _history_lock: - history = load_history() - if not isinstance(history, list): - history = history.get("entries", []) - - history.insert(0, new_entry) - - save_history(history) - - # Upload profile to the Meticulous machine when imported from a file. - # Profiles imported from the machine (source="machine") already exist there. - machine_profile_id = None - if source == "file": - try: - result = await async_create_profile(profile_json) - normalised_from_create = ( - result.get("_normalised_json") if isinstance(result, dict) else None - ) - machine_profile_id = ( - result.get("id") if isinstance(result, dict) else None - ) - - # Upgrade stored JSON with machine-fetched version - fetch_id = machine_profile_id or (normalised_from_create or {}).get( - "id" - ) - if fetch_id: - try: - machine_dict = await fetch_machine_profile_dict(fetch_id) - if isinstance(machine_dict, dict) and machine_dict.get("name"): - update_entry_sync_fields( - entry_id, - content_hash=compute_content_hash(machine_dict), - profile_json=machine_dict, - ) - except Exception: - pass # Layer 1 already stored normalised JSON - - logger.info( - f"Profile uploaded to machine: {profile_name}", - extra={ - "request_id": request_id, - "machine_profile_id": machine_profile_id, - }, - ) - except Exception as exc: - logger.warning( - f"Profile saved to history but failed to upload to machine: {exc}", - extra={"request_id": request_id, "error_type": type(exc).__name__}, - ) - - logger.info( - f"Profile imported successfully: {profile_name}", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - return { - "status": "success", - "entry_id": entry_id, - "profile_name": profile_name, - "has_description": reply is not None - and "Description generation failed" not in reply, - "uploaded_to_machine": machine_profile_id is not None, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to import profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -def _validate_url_for_ssrf(url: str) -> None: - """Reject URLs that could hit internal/private network resources.""" - parsed = urlparse(url) - if parsed.scheme not in ("http", "https"): - raise ValueError(f"Unsupported scheme: {parsed.scheme}") - hostname = parsed.hostname - if not hostname: - raise ValueError("No hostname in URL") - blocked = {"localhost", "127.0.0.1", "0.0.0.0", "::1", "metadata.google.internal"} - if hostname.lower() in blocked: - raise ValueError(f"Blocked hostname: {hostname}") - try: - ip = ipaddress.ip_address(socket.gethostbyname(hostname)) - if ip.is_private or ip.is_loopback or ip.is_link_local or ip.is_reserved: - raise ValueError(f"URL resolves to private/reserved IP: {ip}") - except socket.gaierror: - pass # Let httpx handle DNS errors - - -@router.post("/api/import-from-url") -async def import_from_url(request: Request): - """Import a profile from a URL (JSON or .met format).""" - request_id = request.state.request_id - try: - body = await request.json() - url = body.get("url", "").strip() - generate_description = body.get("generate_description", True) - if not url: - raise HTTPException(status_code=400, detail="No URL provided") - parsed = urlparse(url) - if parsed.scheme not in ("http", "https"): - raise HTTPException( - status_code=400, detail="Only http and https URLs are supported" - ) - try: - _validate_url_for_ssrf(url) - except ValueError as exc: - raise HTTPException(status_code=400, detail=f"Blocked URL: {exc}") - logger.info( - "Importing profile from URL: %s", url, extra={"request_id": request_id} - ) - max_size = 5 * 1024 * 1024 - try: - async with httpx.AsyncClient(timeout=10.0, follow_redirects=True) as client: - async with client.stream("GET", url) as resp: - resp.raise_for_status() - chunks: list[bytes] = [] - total = 0 - async for chunk in resp.aiter_bytes(8192): - total += len(chunk) - if total > max_size: - raise HTTPException( - status_code=413, detail="Response too large (max 5 MB)" - ) - chunks.append(chunk) - content = b"".join(chunks) - except httpx.TimeoutException: - raise HTTPException( - status_code=408, detail="Request timed out fetching URL" - ) - except httpx.HTTPStatusError as exc: - raise HTTPException( - status_code=502, - detail=f"Remote server returned {exc.response.status_code}", - ) - except httpx.RequestError as exc: - raise HTTPException(status_code=502, detail=f"Failed to fetch URL: {exc}") - try: - profile_json = json.loads(content) - except Exception: - raise HTTPException(status_code=400, detail="URL did not return valid JSON") - if not isinstance(profile_json, dict): - raise HTTPException( - status_code=400, detail="URL did not return a valid profile object" - ) - # Auto-detect Decent Espresso format and convert - from services.decent_converter import detect_decent_format, convert_decent_to_meticulous - - decent_converted = False - if detect_decent_format(profile_json): - logger.info( - "Detected Decent Espresso format, converting", - extra={"request_id": request_id}, - ) - result = convert_decent_to_meticulous(profile_json) - profile_json = result["profile"] - decent_converted = True - if not profile_json.get("name"): - raise HTTPException( - status_code=400, detail="Profile is missing a 'name' field" - ) - profile_name = profile_json["name"] - reply = None - if generate_description: - try: - reply = await _generate_profile_description(profile_json, request_id) - except Exception as e: - logger.warning( - "Failed to generate description for URL import: %s", - e, - extra={"request_id": request_id}, - ) - from services.analysis_service import _build_static_profile_description - - reply = _build_static_profile_description(profile_json) - else: - from services.analysis_service import _build_static_profile_description - - reply = _build_static_profile_description(profile_json) - entry_id = str(uuid.uuid4()) - created_at = datetime.now(timezone.utc).isoformat() - new_entry = { - "id": entry_id, - "created_at": created_at, - "profile_name": profile_name, - "user_preferences": f"Imported from URL: {url}", - "reply": reply, - "profile_json": deep_convert_to_dict(profile_json), - "imported": True, - "import_source": "url", - } - with _history_lock: - history = load_history() - entries = ( - history if isinstance(history, list) else history.get("entries", []) - ) - for entry in entries: - if entry.get("profile_name") == profile_name: - return { - "status": "exists", - "message": f"Profile '{profile_name}' already exists", - "entry_id": entry.get("id"), - "profile_name": profile_name, - } - entries.insert(0, new_entry) - save_history(entries) - machine_profile_id = None - try: - result = await async_create_profile(profile_json) - machine_profile_id = result.get("id") if isinstance(result, dict) else None - logger.info( - "URL-imported profile uploaded to machine: %s", - profile_name, - extra={ - "request_id": request_id, - "machine_profile_id": machine_profile_id, - }, - ) - except Exception as exc: - logger.warning( - "Profile saved to history but failed to upload to machine: %s", - exc, - extra={"request_id": request_id, "error_type": type(exc).__name__}, - ) - logger.info( - "Profile imported from URL successfully: %s", - profile_name, - extra={"request_id": request_id, "entry_id": entry_id, "source_url": url}, - ) - return { - "status": "success", - "entry_id": entry_id, - "profile_name": profile_name, - "has_description": reply is not None - and "Description generation failed" not in reply, - "uploaded_to_machine": machine_profile_id is not None, - "converted_from_decent": decent_converted, - } - except HTTPException: - raise - except Exception as e: - logger.error( - "Failed to import profile from URL: %s", - str(e), - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/convert-decent") -@router.post("/api/convert-decent") -async def convert_decent_profile(request: Request): - """Convert a Decent Espresso profile to Meticulous format. - - Accepts a Decent profile JSON and returns the converted Meticulous - profile along with any conversion warnings. Does NOT save or - upload — the caller should use ``/api/profile/import`` afterwards. - """ - from services.decent_converter import detect_decent_format, convert_decent_to_meticulous - - body = await request.json() - - if not detect_decent_format(body): - raise HTTPException( - status_code=400, - detail="Not a valid Decent Espresso profile format", - ) - - result = convert_decent_to_meticulous(body) - return result - - -@router.post("/api/profile/import-all") -async def import_all_profiles(request: Request): - """Import all profiles from the Meticulous machine that aren't already in history. - - This is a long-running operation that imports profiles one at a time, - generating descriptions for each. The response is streamed as newline-delimited JSON - to provide progress updates. - - Returns: - Streamed JSON with progress updates and final summary - """ - from fastapi.responses import StreamingResponse - - request_id = request.state.request_id - - generate_description = True - try: - body = await request.json() - if isinstance(body, dict): - generate_description = bool(body.get("generate_description", True)) - except Exception: - generate_description = True - - async def generate_import_stream(): - """Generator that yields progress updates as JSON lines.""" - imported = [] - skipped = [] - failed = [] - - try: - # Get list of machine profiles - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - yield ( - json.dumps( - { - "type": "error", - "message": f"Machine API error: {profiles_result.error}", - } - ) - + "\n" - ) - return - - # Get existing profile names from history - existing_names = set() - history = load_history() - entries = ( - history if isinstance(history, list) else history.get("entries", []) - ) - existing_names = {entry.get("profile_name") for entry in entries} - - # Filter profiles to import - profiles_to_import = [] - for partial_profile in profiles_result: - try: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - if full_profile.name not in existing_names: - profiles_to_import.append(full_profile) - else: - skipped.append(full_profile.name) - except Exception: - # Ignore errors fetching individual profiles (may have been deleted) - pass - - total_to_import = len(profiles_to_import) - total_profiles = total_to_import + len(skipped) - - # Send initial status - yield ( - json.dumps( - { - "type": "start", - "total": total_profiles, - "to_import": total_to_import, - "already_imported": len(skipped), - "message": f"Found {total_to_import} profiles to import ({len(skipped)} already in catalogue)", - } - ) - + "\n" - ) - - if total_to_import == 0: - yield ( - json.dumps( - { - "type": "complete", - "imported": 0, - "skipped": len(skipped), - "failed": 0, - "message": "All profiles already in catalogue", - } - ) - + "\n" - ) - return - - # Import each profile - for idx, profile in enumerate(profiles_to_import, 1): - profile_name = profile.name - - yield ( - json.dumps( - { - "type": "progress", - "current": idx, - "total": total_to_import, - "profile_name": profile_name, - "message": f"Importing {idx}/{total_to_import}: {profile_name}", - } - ) - + "\n" - ) - - try: - # Fetch canonical JSON directly from machine API. - # This intentionally re-fetches each profile even though - # the filtering step already retrieved an SDK Profile object, - # because SDK serialisation loses fields (the bug this PR fixes). - profile_json = await fetch_machine_profile_dict(profile.id) - - # Generate description - if generate_description: - try: - reply = await _generate_profile_description( - profile_json, request_id - ) - except Exception as e: - logger.warning( - f"Failed to generate description for {profile_name}: {e}" - ) - from services.analysis_service import ( - _build_static_profile_description, - ) - - reply = _build_static_profile_description(profile_json) - else: - from services.analysis_service import ( - _build_static_profile_description, - ) - - reply = _build_static_profile_description(profile_json) - - # Create history entry - entry_id = str(uuid.uuid4()) - created_at = datetime.now(timezone.utc).isoformat() - - new_entry = { - "id": entry_id, - "created_at": created_at, - "profile_name": profile_name, - "user_preferences": "Imported from machine (bulk import)", - "reply": reply, - "profile_json": profile_json, - "imported": True, - "import_source": "machine_bulk", - "content_hash": compute_content_hash(profile_json) - if isinstance(profile_json, dict) - else None, - } - - # Save to history using cache-aware save - with _history_lock: - history = load_history() - if not isinstance(history, list): - history = history.get("entries", []) - - history.insert(0, new_entry) - - save_history(history) - - imported.append(profile_name) - - yield ( - json.dumps( - { - "type": "imported", - "current": idx, - "total": total_to_import, - "profile_name": profile_name, - "message": f"Imported: {profile_name}", - } - ) - + "\n" - ) - - except Exception as e: - logger.error(f"Failed to import {profile_name}: {e}", exc_info=True) - failed.append({"name": profile_name, "error": str(e)}) - - yield ( - json.dumps( - { - "type": "failed", - "current": idx, - "total": total_to_import, - "profile_name": profile_name, - "error": str(e), - "message": f"Failed: {profile_name}", - } - ) - + "\n" - ) - - # Send completion summary - yield ( - json.dumps( - { - "type": "complete", - "imported": len(imported), - "skipped": len(skipped), - "failed": len(failed), - "imported_profiles": imported, - "skipped_profiles": skipped, - "failed_profiles": failed, - "message": f"Import complete: {len(imported)} imported, {len(skipped)} skipped, {len(failed)} failed", - } - ) - + "\n" - ) - - logger.info( - f"Bulk import completed: {len(imported)} imported, {len(skipped)} skipped, {len(failed)} failed", - extra={"request_id": request_id}, - ) - - except Exception as e: - logger.error( - f"Bulk import error: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - yield json.dumps({"type": "error", "message": str(e)}) + "\n" - - return StreamingResponse( - generate_import_stream(), media_type="application/x-ndjson" - ) - - -@router.get("/api/machine/profiles/count") -async def get_machine_profile_count(request: Request): - """Get a quick count of profiles on the machine and how many are not yet imported. - - This is a lightweight endpoint for showing import-all button availability. - """ - request_id = request.state.request_id - - try: - profiles_result = await async_list_profiles() - - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - total_on_machine = len(list(profiles_result)) - - # Re-fetch to count (iterator was consumed) - profiles_result = await async_list_profiles() - - # Get existing profile names from history - existing_names = set() - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - existing_names = {entry.get("profile_name") for entry in entries} - - not_imported = 0 - for partial_profile in profiles_result: - try: - full_profile = await async_get_profile(partial_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - continue - if full_profile.name not in existing_names: - not_imported += 1 - except Exception: - # Ignore errors fetching individual profiles (may have been deleted) - pass - - return { - "status": "success", - "total_on_machine": total_on_machine, - "not_imported": not_imported, - "already_imported": total_on_machine - not_imported, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get profile count: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.get("/machine/profiles/orphaned") -@router.get("/api/machine/profiles/orphaned") -async def list_orphaned_history_entries(request: Request): - """List history entries whose profiles no longer exist on the machine. - - Cross-references history entries against the current machine profile list - and returns entries that have no matching machine profile. - """ - request_id = request.state.request_id - - try: - logger.info( - "Checking for orphaned history entries", - extra={"request_id": request_id}, - ) - - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, - detail=f"Machine API error: {profiles_result.error}", - ) - - machine_names: set[str] = {getattr(p, "name", "") for p in profiles_result} - - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - - orphaned = [] - for entry in entries: - profile_name = entry.get("profile_name", "") - if ( - profile_name - and profile_name not in machine_names - and not is_temp_profile(profile_name) - ): - orphaned.append( - { - "id": entry.get("id"), - "profile_name": profile_name, - "created_at": entry.get("created_at"), - "has_profile_json": bool(entry.get("profile_json")), - } - ) - - logger.info( - f"Found {len(orphaned)} orphaned history entries", - extra={"request_id": request_id, "orphan_count": len(orphaned)}, - ) - - return { - "status": "success", - "orphaned": orphaned, - "total": len(orphaned), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to check orphaned profiles: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -# --------------------------------------------------------------------------- -# Profile Sync endpoints -# --------------------------------------------------------------------------- - - -@router.post("/profiles/sync") -@router.post("/api/profiles/sync") -async def sync_profiles(request: Request): - """Run a full sync between machine profiles and MeticAI history. - - Computes a content hash for every machine profile and compares it against - the hash stored in the corresponding history entry. Returns three lists: - - - **new**: profiles on the machine that have no history entry at all. - - **updated**: profiles whose content hash differs from the stored hash. - - **orphaned**: history entries with no matching machine profile (reuses - the existing orphan-detection logic). - """ - request_id = request.state.request_id - - try: - logger.info( - "Starting profile sync", - extra={"request_id": request_id}, - ) - - # 1. Fetch machine profiles - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, - detail=f"Machine API error: {profiles_result.error}", - ) - - # 2. Build a name→entry lookup from history - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - history_by_name: dict[str, dict] = {} - for entry in entries: - pname = entry.get("profile_name", "") - if pname and pname not in history_by_name: - history_by_name[pname] = entry - - # 3. Walk machine profiles - new_profiles: list[dict] = [] - updated_profiles: list[dict] = [] - machine_names: set[str] = set() - - for partial in profiles_result: - profile_name = getattr(partial, "name", "") - profile_id = getattr(partial, "id", "") - machine_names.add(profile_name) - - # Fetch full profile to compute hash - try: - profile_dict = await fetch_machine_profile_dict(profile_id) - except Exception: - profile_dict = deep_convert_to_dict(partial) - - current_hash = compute_content_hash(profile_dict) - - entry = history_by_name.get(profile_name) - if entry is None: - new_profiles.append( - { - "profile_id": profile_id, - "profile_name": profile_name, - "content_hash": current_hash, - } - ) - else: - stored_hash = entry.get("content_hash") - if not stored_hash: - # Backfill: first sync after creation — store the machine - # hash as baseline without flagging as "updated". - try: - update_entry_sync_fields( - entry["id"], - content_hash=current_hash, - profile_json=profile_dict, - ) - except Exception: - pass - elif stored_hash != current_hash: - updated_profiles.append( - { - "profile_id": profile_id, - "profile_name": profile_name, - "history_id": entry.get("id"), - "stored_hash": stored_hash, - "current_hash": current_hash, - } - ) - - # 4. Orphaned entries (in history but not on machine) - orphaned: list[dict] = [] - for entry in entries: - pname = entry.get("profile_name", "") - if pname and pname not in machine_names: - orphaned.append( - { - "id": entry.get("id"), - "profile_name": pname, - "created_at": entry.get("created_at"), - "has_profile_json": bool(entry.get("profile_json")), - } - ) - - logger.info( - f"Sync complete: {len(new_profiles)} new, {len(updated_profiles)} updated, {len(orphaned)} orphaned", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "new": new_profiles, - "updated": updated_profiles, - "orphaned": orphaned, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Profile sync failed: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/profiles/sync/accept/{profile_id}") -@router.post("/api/profiles/sync/accept/{profile_id}") -async def accept_sync_update( - profile_id: str, request: Request, ai_description: bool = False -): - """Accept a machine profile update and refresh the history entry. - - Re-fetches the profile from the machine, updates the stored - ``profile_json`` and ``content_hash``, and optionally regenerates the - AI description. - """ - request_id = request.state.request_id - - try: - logger.info( - f"Accepting sync update for profile {profile_id}", - extra={ - "request_id": request_id, - "profile_id": profile_id, - "ai_description": ai_description, - }, - ) - - # Fetch latest from machine via raw HTTP - profile_dict = await fetch_machine_profile_dict(profile_id) - profile_name = profile_dict.get("name", "Unknown") - new_hash = compute_content_hash(profile_dict) - - # Find the history entry by name - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - target_entry = None - for entry in entries: - if entry.get("profile_name") == profile_name: - target_entry = entry - break - - if not target_entry: - raise HTTPException( - status_code=404, detail="No history entry found for this profile" - ) - - # Optionally regenerate description - new_reply = None - if ai_description: - try: - new_reply = await _generate_profile_description( - profile_dict, request_id - ) - except Exception as e: - logger.warning( - f"AI description generation failed during sync accept: {e}", - extra={"request_id": request_id}, - ) - - updated = update_entry_sync_fields( - target_entry["id"], - content_hash=new_hash, - machine_updated_at=datetime.now(timezone.utc).isoformat(), - profile_json=profile_dict, - reply=new_reply, - ) - - if not updated: - raise HTTPException(status_code=404, detail="History entry not found") - - logger.info( - f"Sync update accepted for '{profile_name}'", - extra={"request_id": request_id, "entry_id": target_entry["id"]}, - ) - - return { - "status": "success", - "profile_name": profile_name, - "content_hash": new_hash, - "ai_description_generated": ai_description and new_reply is not None, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to accept sync update: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.get("/profiles/sync/status") -@router.get("/api/profiles/sync/status") -async def sync_status(request: Request): - """Count of pending sync items for badge display. - - Fetches full profiles to compute content hashes so that updated profiles - are accurately reflected in the badge count. Also backfills hashes for - history entries that were created before hash tracking was added. - """ - request_id = request.state.request_id - - try: - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, - detail=f"Machine API error: {profiles_result.error}", - ) - - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - history_by_name: dict[str, dict] = {} - for entry in entries: - pname = entry.get("profile_name", "") - if pname and pname not in history_by_name: - history_by_name[pname] = entry - - machine_names: set[str] = set() - new_count = 0 - updated_count = 0 - - for partial in profiles_result: - name = getattr(partial, "name", "") - profile_id = getattr(partial, "id", "") - machine_names.add(name) - entry = history_by_name.get(name) - if entry is None: - new_count += 1 - else: - stored_hash = entry.get("content_hash") - try: - full = await async_get_profile(profile_id) - if hasattr(full, "error") and full.error: - continue - profile_dict = deep_convert_to_dict(full) - current_hash = compute_content_hash(profile_dict) - - if not stored_hash: - # Backfill baseline hash silently - try: - update_entry_sync_fields( - entry["id"], - content_hash=current_hash, - profile_json=profile_dict, - ) - except Exception: - pass - elif stored_hash != current_hash: - updated_count += 1 - except Exception: - pass - - orphan_count = sum( - 1 - for entry in entries - if entry.get("profile_name", "") - and entry.get("profile_name", "") not in machine_names - ) - - return { - "status": "success", - "new_count": new_count, - "updated_count": updated_count, - "orphaned_count": orphan_count, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get sync status: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/profiles/auto-sync") -@router.post("/api/profiles/auto-sync") -async def auto_sync_profiles(request: Request): - """Automatically sync all new and updated profiles from the machine. - - Imports new profiles and accepts updates without user intervention. - Orphaned profiles are reported but not automatically removed. - """ - request_id = request.state.request_id - - try: - body = ( - await request.json() - if request.headers.get("content-type", "").startswith("application/json") - else {} - ) - ai_description = body.get("ai_description", False) - - # Run full sync detection - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, - detail=f"Machine API error: {profiles_result.error}", - ) - - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - history_by_name: dict[str, dict] = {} - for entry in entries: - pname = entry.get("profile_name", "") - if pname and pname not in history_by_name: - history_by_name[pname] = entry - - imported = [] - updated = [] - - for partial in profiles_result: - profile_name = getattr(partial, "name", "") - profile_id = getattr(partial, "id", "") - - if profile_name not in history_by_name: - # New profile — import it - try: - profile_dict = await fetch_machine_profile_dict(profile_id) - - if ai_description: - try: - reply = await _generate_profile_description( - profile_dict, request_id - ) - except Exception: - from services.analysis_service import ( - _build_static_profile_description, - ) - - reply = _build_static_profile_description(profile_dict) - else: - from services.analysis_service import ( - _build_static_profile_description, - ) - - reply = _build_static_profile_description(profile_dict) - - entry_id = str(uuid.uuid4()) - new_entry = { - "id": entry_id, - "created_at": datetime.now(timezone.utc).isoformat(), - "profile_name": profile_name, - "user_preferences": "Imported from machine (auto-sync)", - "reply": reply, - "profile_json": profile_dict, - "content_hash": compute_content_hash(profile_dict), - "imported": True, - "import_source": "machine", - } - # Reload history to avoid stale writes - history = load_history() - if not isinstance(history, list): - history = history.get("entries", []) - history.insert(0, new_entry) - save_history(history) - imported.append(profile_name) - except Exception as exc: - logger.warning( - f"Auto-sync: failed to import '{profile_name}': {exc}", - extra={"request_id": request_id}, - ) - else: - # Existing profile — check for updates - existing = history_by_name[profile_name] - stored_hash = existing.get("content_hash") - try: - profile_dict = await fetch_machine_profile_dict(profile_id) - current_hash = compute_content_hash(profile_dict) - - if not stored_hash: - # Backfill: store machine hash as baseline (not an update) - update_entry_sync_fields( - existing["id"], - content_hash=current_hash, - profile_json=profile_dict, - ) - elif current_hash != stored_hash: - new_reply = None - if ai_description: - try: - new_reply = await _generate_profile_description( - profile_dict, request_id - ) - except Exception: - pass - update_entry_sync_fields( - existing["id"], - content_hash=current_hash, - machine_updated_at=datetime.now(timezone.utc).isoformat(), - profile_json=profile_dict, - reply=new_reply, - ) - updated.append(profile_name) - except Exception as exc: - logger.warning( - f"Auto-sync: failed to update '{profile_name}': {exc}", - extra={"request_id": request_id}, - ) - - logger.info( - f"Auto-sync complete: {len(imported)} imported, {len(updated)} updated", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "imported": imported, - "updated": updated, - "imported_count": len(imported), - "updated_count": len(updated), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Auto-sync failed: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/profiles/repair") -@router.post("/api/profiles/repair") -async def repair_profile_json(request: Request): - """Repair all history entries to contain machine-canonical profile JSON. - - For each entry that has profile_json: - - If a matching profile exists on the machine (by name): fetch canonical - JSON from the machine and replace the stored version. - - If no match on the machine (orphaned): re-normalize the stored JSON - locally via _normalize_profile_for_machine(). - - Returns a summary of how many entries were repaired, normalized, skipped, - or errored. - """ - request_id = request.state.request_id - logger.info("Starting profile JSON repair", extra={"request_id": request_id}) - - try: - # Build machine lookup: name → profile_id - machine_map: dict[str, str] = {} - try: - profiles_result = await async_list_profiles() - if not (hasattr(profiles_result, "error") and profiles_result.error): - for p in profiles_result: - pname = getattr(p, "name", "") - pid = getattr(p, "id", "") - if pname and pid: - machine_map[pname] = pid - except Exception as exc: - logger.warning( - f"Repair: could not list machine profiles, will normalize only: {exc}", - extra={"request_id": request_id}, - ) - - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - - repaired = 0 # Fetched canonical JSON from machine - normalized = 0 # Re-normalized locally (orphaned entries) - skipped = 0 # No profile_json to fix - errors = 0 - error_details: list[str] = [] - - for entry in entries: - entry_id = entry.get("id", "unknown") - profile_json = entry.get("profile_json") - profile_name = entry.get("profile_name", "") - - if not profile_json: - skipped += 1 - continue - - machine_profile_id = machine_map.get(profile_name) - - if machine_profile_id: - # Entry has a matching machine profile — fetch canonical JSON - try: - canonical = await fetch_machine_profile_dict(machine_profile_id) - with _history_lock: - update_entry_sync_fields( - entry_id, - profile_json=canonical, - content_hash=compute_content_hash(canonical), - machine_updated_at=datetime.now(timezone.utc).isoformat(), - ) - repaired += 1 - except Exception as exc: - # Machine fetch failed — fall back to local normalization - try: - norm = _normalize_profile_for_machine( - profile_json - if isinstance(profile_json, dict) - else json.loads(profile_json) - ) - with _history_lock: - update_entry_sync_fields( - entry_id, - profile_json=norm, - content_hash=compute_content_hash(norm), - ) - normalized += 1 - except Exception as inner_exc: - errors += 1 - error_details.append( - f"{entry_id}: machine fetch failed ({exc}), normalize failed ({inner_exc})" - ) - else: - # Orphaned entry — re-normalize locally - try: - source = ( - profile_json - if isinstance(profile_json, dict) - else json.loads(profile_json) - ) - norm = _normalize_profile_for_machine(source) - with _history_lock: - update_entry_sync_fields( - entry_id, - profile_json=norm, - content_hash=compute_content_hash(norm), - ) - normalized += 1 - except Exception as exc: - errors += 1 - error_details.append(f"{entry_id}: normalize failed ({exc})") - - logger.info( - f"Repair complete: {repaired} from machine, {normalized} normalized, " - f"{skipped} skipped, {errors} errors", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "repaired_from_machine": repaired, - "normalized_locally": normalized, - "skipped_no_json": skipped, - "errors": errors, - "error_details": error_details[:20] if error_details else [], - "total_processed": repaired + normalized + skipped + errors, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Profile repair failed: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/machine/profile/restore/{history_id}") -@router.post("/api/machine/profile/restore/{history_id}") -async def restore_profile_from_history(history_id: str, request: Request): - """Re-upload a profile from history to the Meticulous machine. - - Loads the stored profile JSON from a history entry and saves it back to - the machine via async_save_profile(). - """ - request_id = request.state.request_id - - try: - from services.history_service import get_entry_by_id - - entry = get_entry_by_id(history_id) - if not entry: - raise HTTPException(status_code=404, detail="History entry not found") - - profile_json = entry.get("profile_json") - if not profile_json: - raise HTTPException( - status_code=400, - detail="History entry does not contain profile JSON", - ) - - profile_name = entry.get("profile_name", "Restored Profile") - - logger.info( - f"Restoring profile '{profile_name}' to machine from history", - extra={"request_id": request_id, "history_id": history_id}, - ) - - # Send profile dict directly to the machine API. - # We bypass async_save_profile / Profile model because the stored - # JSON may lack fields the Pydantic model requires (e.g. author_id). - import httpx - import os - - meticulous_ip = os.environ.get("METICULOUS_IP", "").strip() - if not meticulous_ip: - raise HTTPException(status_code=503, detail="METICULOUS_IP not configured") - - # Ensure author_id is present — machine API may require it - if "author_id" not in profile_json: - profile_json["author_id"] = profile_json.get("author", "Metic") - - # Strip None values (machine API rejects them) - clean_json = {k: v for k, v in profile_json.items() if v is not None} - - async with httpx.AsyncClient() as client: - resp = await client.post( - f"http://{meticulous_ip}/api/v1/profile/save", - json=clean_json, - ) - if resp.status_code != 200: - logger.error( - f"Machine API rejected profile save: {resp.status_code} - {resp.text}", - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=502, - detail=f"Machine API error: {resp.text}", - ) - - invalidate_profile_list_cache() - - logger.info( - f"Successfully restored profile '{profile_name}' to machine", - extra={"request_id": request_id, "history_id": history_id}, - ) - - return { - "status": "success", - "message": f"Profile '{profile_name}' restored to machine", - "profile_name": profile_name, - "history_id": history_id, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to restore profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/api/profile/convert-description") -async def convert_profile_description(request: Request): - """Convert an existing profile description to the standard MeticAI format. - - Takes a profile with an existing description and reformats it while - preserving all original information. - """ - request_id = request.state.request_id - - try: - body = await request.json() - profile_json = body.get("profile") - existing_description = body.get("description", "") - - if not profile_json: - raise HTTPException(status_code=400, detail="No profile JSON provided") - - profile_name = profile_json.get("name", "Unknown Profile") - - logger.info( - f"Converting description for profile: {profile_name}", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - prompt = f"""You are an expert espresso barista analysing profiles for the Meticulous Espresso Machine. - -## Expert Profiling Knowledge -{PROFILING_KNOWLEDGE} - -Analyze this Meticulous Espresso profile and convert its description to the standard MeticAI format. - -IMPORTANT: Preserve ALL information from the original description. Do not lose any details - only reformat them. - -PROFILE JSON: -```json -{json.dumps(profile_json, indent=2)} -``` - -ORIGINAL DESCRIPTION: -{existing_description} - -Convert to this exact format while preserving all original information: - -Profile Created: {profile_name} - -Description: -[Preserve the original description's key points and add technical insights from the profile JSON] - -Preparation: -• Dose: [From original or profile settings] -• Grind: [From original or recommend based on profile] -• Temperature: [From profile: {profile_json.get("temperature", "Not specified")}°C] -• Target Yield: [From profile: {profile_json.get("final_weight", "Not specified")}g] -• Expected Time: [Calculate from stages if possible] - -Why This Works: -[Combine original explanation with technical analysis of the profile stages] - -Special Notes: -[Preserve any special notes from original, add any additional insights] - -Remember: NO information should be lost in this conversion!""" - - try: - model = get_vision_model() - except ValueError as e: - raise HTTPException( - status_code=503, - detail={ - "status": "error", - "message": str(e), - "error": "AI features are unavailable until GEMINI_API_KEY is configured", - }, - ) from e - response = await model.async_generate_content(prompt) - converted_description = response.text.strip() - - # Update the history entry if it exists - entry_id = body.get("entry_id") - if entry_id: - with _history_lock: - history = load_history() - entries = ( - history if isinstance(history, list) else history.get("entries", []) - ) - for entry in entries: - if entry.get("id") == entry_id: - entry["reply"] = converted_description - entry["description_converted"] = True - break - save_history(history) - - logger.info( - f"Description converted successfully for: {profile_name}", - extra={"request_id": request_id}, - ) - - return {"status": "success", "converted_description": converted_description} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to convert description: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/profile/{entry_id}/regenerate-description") -@router.post("/api/profile/{entry_id}/regenerate-description") -async def regenerate_profile_description(entry_id: str, request: Request): - """Regenerate the AI description for an existing profile in history. - - Replaces a static (non-AI) description with a full AI-generated one. - Requires a configured Gemini API key. - """ - request_id = request.state.request_id - - try: - history = load_history() - entries = history if isinstance(history, list) else history.get("entries", []) - target_entry = None - for entry in entries: - if entry.get("id") == entry_id: - target_entry = entry - break - - if not target_entry: - raise HTTPException(status_code=404, detail="History entry not found") - - profile_json = target_entry.get("profile_json") - if not profile_json: - raise HTTPException( - status_code=400, detail="No profile JSON data available for this entry" - ) - - profile_name = target_entry.get("profile_name", "Unknown Profile") - logger.info( - f"Regenerating AI description for: {profile_name}", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - new_description = await _generate_profile_description(profile_json, request_id) - - # Check it actually used AI (not the static fallback) - if "generated without AI assistance" in new_description: - raise HTTPException( - status_code=503, - detail="AI description generation failed — check that your Gemini API key is configured", - ) - - target_entry["reply"] = new_description - ai_tags = getattr(new_description, "ai_tags", []) - if ai_tags: - target_entry["ai_tags"] = ai_tags - save_history(history) - - # The catalogue embeds each profile's ai_tags, so a regenerated - # description (which may add/change tags) must bust the profile list - # cache — otherwise the catalogue keeps serving stale, tag-less entries. - invalidate_profile_list_cache() - - logger.info( - f"AI description regenerated for: {profile_name}", - extra={"request_id": request_id, "entry_id": entry_id}, - ) - - return {"status": "success", "description": new_description} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to regenerate description: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -# ============================================================================ -# Run Shot Endpoints -# ============================================================================ - - -async def _schedule_next_recurring(schedule_id: str, schedule: dict): - """Schedule the next occurrence of a recurring schedule. - - This function calculates when the next occurrence should happen based on - the schedule configuration and creates a scheduled shot for that time. - """ - next_time = _get_next_occurrence(schedule) - - if not next_time: - logger.warning( - f"Could not calculate next occurrence for recurring schedule {schedule_id}" - ) - return - - profile_id = schedule.get("profile_id") - preheat = schedule.get("preheat", True) - - # Create a one-time scheduled shot for the next occurrence - shot_id = f"recurring-{schedule_id}-{next_time.isoformat()}" - - # Check if we already have this shot scheduled - if shot_id in _scheduled_shots: - logger.debug(f"Recurring shot {shot_id} already scheduled") - return - - shot_delay = (next_time - datetime.now(timezone.utc)).total_seconds() - - if shot_delay < 0: - logger.warning(f"Next occurrence for {schedule_id} is in the past, skipping") - return - - # Store the scheduled shot - scheduled_shot = { - "id": shot_id, - "profile_id": profile_id, - "scheduled_time": next_time.isoformat(), - "preheat": preheat, - "status": "scheduled", - "created_at": datetime.now(timezone.utc).isoformat(), - "recurring_schedule_id": schedule_id, - } - _scheduled_shots[shot_id] = scheduled_shot - await _save_scheduled_shots() - - logger.info( - f"Scheduled next recurring shot {shot_id} for {next_time.isoformat()} " - f"(profile: {profile_id}, preheat: {preheat})" - ) - - -async def _recurring_schedule_checker(): - """Background task to ensure recurring schedules stay up to date. - - Runs every hour to: - 1. Check for completed recurring shots and schedule the next occurrence - 2. Ensure all enabled recurring schedules have an upcoming shot scheduled - """ - while True: - try: - await asyncio.sleep(3600) # Check every hour - - logger.info("Running recurring schedule check") - - # Find completed recurring shots and schedule next occurrence - for shot_id, shot in list(_scheduled_shots.items()): - recurring_id = shot.get("recurring_schedule_id") - if recurring_id and shot.get("status") in ["completed", "failed"]: - # Update last_run time for interval-based schedules - if recurring_id in _recurring_schedules: - schedule = _recurring_schedules[recurring_id] - if schedule.get("recurrence_type") == "interval": - schedule["last_run"] = shot.get("scheduled_time") - await _save_recurring_schedules() - - # Schedule next occurrence - await _schedule_next_recurring(recurring_id, schedule) - - # Ensure all enabled schedules have an upcoming shot - for schedule_id, schedule in _recurring_schedules.items(): - if not schedule.get("enabled", True): - continue - - # Check if there's already a pending shot for this schedule - has_pending = any( - s.get("recurring_schedule_id") == schedule_id - and s.get("status") in ["scheduled", "preheating"] - for s in _scheduled_shots.values() - ) - - if not has_pending: - await _schedule_next_recurring(schedule_id, schedule) - - except asyncio.CancelledError: - break - except Exception as e: - logger.error(f"Error in recurring schedule checker: {e}", exc_info=True) - await asyncio.sleep(60) # Wait a bit before retrying - - -# ============================================================================ -# Apply AI Recommendations -# ============================================================================ - -_KNOWN_VARIABLE_TYPES = ("pressure", "flow", "temperature", "weight", "time", "volume") - - -def _variable_type_of(raw: str) -> str | None: - """Determine which value type a recommendation variable refers to. - - Handles real keys ("pressure_Max Pressure"), invented positional ids - ("pressure_2", "flow_0") and bare types ("pressure"). - """ - lower = str(raw or "").strip().lower() - for vtype in _KNOWN_VARIABLE_TYPES: - if lower == vtype or lower.startswith(f"{vtype}_"): - return vtype - return None - - -def _resolve_fuzzy_variable(variables, raw_variable, current_value, stage): - """Recover the real profile variable when a model invents a positional id. - - Models across the board emit ids like "pressure_2" instead of the actual - key ("pressure_Max Pressure"). Match by value type, disambiguating on the - reported current_value and finally the stage name. Returns ``None`` when - ambiguous so the caller surfaces a clear skip instead of guessing. - """ - if not variables: - return None - vtype = _variable_type_of(raw_variable) - if not vtype: - return None - - def _is_adjustable(var) -> bool: - key = str(getattr(var, "key", "") or "") - if key.startswith("info_") or getattr(var, "adjustable", None) is False: - return False - item_type = str(getattr(var, "type", "") or "").lower() or ( - _variable_type_of(key) or "" - ) - return item_type == vtype - - candidates = [var for var in variables if _is_adjustable(var)] - if not candidates: - return None - if len(candidates) == 1: - return candidates[0] - - try: - cur = float(current_value) - except (TypeError, ValueError): - cur = None - if cur is not None and math.isfinite(cur): - by_value = [] - for var in candidates: - try: - if float(getattr(var, "value", None)) == cur: - by_value.append(var) - except (TypeError, ValueError): - continue - if len(by_value) == 1: - return by_value[0] - - stage_lower = str(stage or "").strip().lower() - if stage_lower and stage_lower != "global": - by_stage = [ - var - for var in candidates - if stage_lower in str(getattr(var, "name", "") or "").lower() - or stage_lower in str(getattr(var, "key", "") or "").lower() - ] - if len(by_stage) == 1: - return by_stage[0] - return None - - -@router.post("/profile/{name:path}/apply-recommendations") -@router.post("/api/profile/{name:path}/apply-recommendations") -async def apply_recommendations( - name: str, - request: Request, - recommendations: str = Form(...), -): - """Apply selected AI recommendations to a profile. - - Only applies patchable (adjustable) variables. Info-only variables - and unknown keys are silently skipped. - - Args: - name: Profile name on the machine. - recommendations: JSON string — list of recommendation objects with - at least ``variable``, ``recommended_value``, ``stage``. - - Returns: - Updated profile dict. - """ - request_id = request.state.request_id - - try: - recs = json.loads(recommendations) - if not isinstance(recs, list): - raise HTTPException( - status_code=400, detail="recommendations must be a JSON array" - ) - except (json.JSONDecodeError, TypeError) as exc: - raise HTTPException( - status_code=400, detail=f"Invalid recommendations JSON: {exc}" - ) - - try: - # --- find profile by name ------------------------------------------------ - profiles_result = await async_list_profiles() - if hasattr(profiles_result, "error") and profiles_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {profiles_result.error}" - ) - - matching_profile = None - for p in profiles_result: - if p.name == name: - matching_profile = p - break - - if matching_profile is None: - raise HTTPException( - status_code=404, detail=f"Profile '{name}' not found on machine" - ) - - full_profile = await async_get_profile(matching_profile.id) - if hasattr(full_profile, "error") and full_profile.error: - raise HTTPException( - status_code=502, detail=f"Failed to fetch profile: {full_profile.error}" - ) - - applied: list[dict] = [] - skipped: list[dict] = [] - - for rec in recs: - if not isinstance(rec, dict): - skipped.append( - {"variable": "?", "reason": "invalid entry (not an object)"} - ) - continue - variable = rec.get("variable", "") - recommended_value = rec.get("recommended_value") - stage = rec.get("stage", "") - - if recommended_value is None: - skipped.append({"variable": variable, "reason": "no recommended_value"}) - continue - - # Validate recommended_value is coercible to a finite number - try: - rv_float = float(recommended_value) - if not math.isfinite(rv_float): - raise ValueError("non-finite") - except (TypeError, ValueError): - skipped.append( - {"variable": variable, "reason": "invalid recommended_value"} - ) - continue - - # --- global settings (temperature, final_weight) --- - if stage == "global": - if variable == "temperature" and hasattr(full_profile, "temperature"): - try: - val = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - {"variable": variable, "reason": "invalid value"} - ) - continue - if val > 100: - skipped.append( - {"variable": variable, "reason": "exceeds 100 °C"} - ) - continue - full_profile.temperature = val - applied.append({"variable": variable, "stage": stage, "value": val}) - continue - elif variable == "final_weight" and hasattr( - full_profile, "final_weight" - ): - try: - val = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - {"variable": variable, "reason": "invalid value"} - ) - continue - if val <= 0: - skipped.append({"variable": variable, "reason": "must be > 0"}) - continue - full_profile.final_weight = val - applied.append({"variable": variable, "stage": stage, "value": val}) - continue - - # --- profile variables --- - if hasattr(full_profile, "variables") and full_profile.variables: - matched_var = False - for var in full_profile.variables: - var_key = getattr(var, "key", "") - if var_key == variable: - # Skip info-only variables - if ( - var_key.startswith("info_") - or getattr(var, "adjustable", None) is False - ): - skipped.append( - { - "variable": variable, - "reason": "info-only / not adjustable", - } - ) - matched_var = True - break - try: - var.value = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - {"variable": variable, "reason": "invalid value"} - ) - matched_var = True - break - applied.append( - {"variable": variable, "stage": stage, "value": var.value} - ) - matched_var = True - break - if matched_var: - continue - - # --- stage exit triggers --- - # Variables like "exit_weight", "exit_time" target a stage's exit_triggers - exit_trigger_map = { - "exit_weight": "weight", - "exit_time": "time", - "exit_pressure": "pressure", - "exit_flow": "flow", - "exit_volume": "volume", - } - trigger_type = exit_trigger_map.get(variable) - if ( - trigger_type - and stage - and hasattr(full_profile, "stages") - and full_profile.stages - ): - matched_stage = False - stage_lower = stage.lower() - for profile_stage in full_profile.stages: - stage_name = getattr(profile_stage, "name", "") - if stage_name.lower() == stage_lower: - triggers = getattr(profile_stage, "exit_triggers", None) - if triggers: - for trigger in triggers: - if getattr(trigger, "type", "") == trigger_type: - try: - trigger.value = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - { - "variable": variable, - "reason": "invalid value", - } - ) - matched_stage = True - break - applied.append( - { - "variable": variable, - "stage": stage, - "value": trigger.value, - } - ) - matched_stage = True - break - if not matched_stage: - skipped.append( - { - "variable": variable, - "reason": f"no {trigger_type} exit trigger in stage '{stage_name}'", - } - ) - matched_stage = True - break - if matched_stage: - continue - - # --- stage limits --- - # Variables like "limit_pressure", "limit_flow" target a stage's limits - limit_map = { - "limit_pressure": "pressure", - "limit_flow": "flow", - "limit_weight": "weight", - } - limit_type = limit_map.get(variable) - if ( - limit_type - and stage - and hasattr(full_profile, "stages") - and full_profile.stages - ): - matched_stage = False - stage_lower = stage.lower() - for profile_stage in full_profile.stages: - stage_name = getattr(profile_stage, "name", "") - if stage_name.lower() == stage_lower: - limits = getattr(profile_stage, "limits", None) - if limits: - for limit in limits: - if getattr(limit, "type", "") == limit_type: - try: - limit.value = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - { - "variable": variable, - "reason": "invalid value", - } - ) - matched_stage = True - break - applied.append( - { - "variable": variable, - "stage": stage, - "value": limit.value, - } - ) - matched_stage = True - break - if not matched_stage: - skipped.append( - { - "variable": variable, - "reason": f"no {limit_type} limit in stage '{stage_name}'", - } - ) - matched_stage = True - break - if matched_stage: - continue - - # --- fuzzy fallback --- - # Models routinely invent positional ids like "pressure_2" / "flow_0" - # instead of the real variable key. Recover the intended variable by - # type + current_value before giving up. - if hasattr(full_profile, "variables") and full_profile.variables: - fuzzy_var = _resolve_fuzzy_variable( - full_profile.variables, - variable, - rec.get("current_value"), - stage, - ) - if fuzzy_var is not None: - try: - fuzzy_var.value = float(recommended_value) - except (TypeError, ValueError): - skipped.append( - {"variable": variable, "reason": "invalid value"} - ) - continue - applied.append( - { - "variable": getattr(fuzzy_var, "key", variable), - "stage": stage, - "value": fuzzy_var.value, - "matched_from": variable, - } - ) - continue - - skipped.append( - {"variable": variable, "reason": "variable not found in profile"} - ) - - if not applied: - return { - "status": "no_changes", - "message": "No applicable recommendations to apply", - "applied": [], - "skipped": skipped, - } - - # --- persist ------------------------------------------------------------- - await async_save_profile(full_profile) - - logger.info( - f"Applied {len(applied)} recommendation(s) to profile '{name}'", - extra={ - "request_id": request_id, - "applied_count": len(applied), - "skipped_count": len(skipped), - }, - ) - - return { - "status": "success", - "profile": deep_convert_to_dict(full_profile), - "applied": applied, - "skipped": skipped, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to apply recommendations: {e}", - exc_info=True, - extra={"request_id": request_id, "profile_name": name}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -# ============================================================================ -# Profile recommendations -# ============================================================================ - - -@router.post("/profiles/recommend") -@router.post("/api/profiles/recommend") -async def recommend_profiles( - request: Request, - tags: list[str] = Form(default=[]), - limit: int = Form(default=5), -): - """Return profile recommendations based on tag preferences. - - Uses structural comparison (stage types, pressure/flow control, - peak pressure, target weight, temperature) — no AI tokens consumed. - """ - request_id = request.state.request_id - - try: - results = await recommendation_service.get_recommendations( - tags=tags, - limit=limit, - ) - - return { - "status": "success", - "recommendations": results, - "count": len(results), - } - - except Exception as e: - logger.error( - f"Failed to get recommendations: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) - - -@router.post("/profiles/find-similar") -@router.post("/api/profiles/find-similar") -async def find_similar_profiles( - request: Request, - profile_name: str = Form(...), - limit: int = Form(default=10), -): - """Find profiles similar to a given source profile.""" - request_id = request.state.request_id - - try: - results = await recommendation_service.find_similar( - source_profile_name=profile_name, - limit=limit, - ) - - return { - "status": "success", - "recommendations": results, - "count": len(results), - } - - except Exception as e: - logger.error( - f"Failed to find similar profiles: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) diff --git a/apps/server/api/routes/recipes.py b/apps/server/api/routes/recipes.py deleted file mode 100644 index 79859680..00000000 --- a/apps/server/api/routes/recipes.py +++ /dev/null @@ -1,40 +0,0 @@ -"""Recipe library endpoints. - -Serves the bundled OPOS recipe library. Each recipe is a static JSON file -under ``data/recipes/`` (development) or ``/app/defaults/recipes/`` (Docker). - -All recipes include a ``slug`` field derived from the filename stem. -""" - -import logging - -from fastapi import APIRouter, HTTPException - -from services.recipe_adapter import list_recipes, load_recipe - -router = APIRouter() -logger = logging.getLogger(__name__) - - -@router.get("/api/recipes") -async def get_recipes(): - """Return the full list of bundled recipes.""" - return list_recipes() - - -@router.get("/api/recipes/{slug}") -async def get_recipe(slug: str): - """Return a single recipe by slug. - - Args: - slug: Recipe filename stem (e.g. ``"4-6-method"``). - """ - try: - return load_recipe(slug) - except FileNotFoundError as exc: - raise HTTPException(status_code=404, detail=str(exc)) from exc - except Exception as exc: - logger.error("Failed to load recipe '%s': %s", slug, exc) - raise HTTPException( - status_code=500, detail=f"Failed to load recipe: {exc}" - ) from exc diff --git a/apps/server/api/routes/scheduling.py b/apps/server/api/routes/scheduling.py deleted file mode 100644 index 7ead896e..00000000 --- a/apps/server/api/routes/scheduling.py +++ /dev/null @@ -1,1054 +0,0 @@ -"""Machine status and scheduling endpoints.""" - -from fastapi import APIRouter, Form, Request, HTTPException -from datetime import datetime, timezone -import json -import uuid -import logging -import asyncio - -from services.meticulous_service import ( - get_meticulous_api, - async_get_settings, - async_get_last_profile, - async_execute_action, - async_load_profile_by_id, - async_get_profile, - async_create_profile, - async_save_profile, - async_session_get, - async_session_post, -) -from services.scheduling_state import ( - _scheduled_shots, - _scheduled_tasks, - _recurring_schedules, - _get_state_lock, - save_scheduled_shots as _save_scheduled_shots, - save_recurring_schedules as _save_recurring_schedules, - get_next_occurrence as _get_next_occurrence, - PREHEAT_DURATION_MINUTES, -) -from services import temp_profile_service -from utils.file_utils import deep_convert_to_dict - -router = APIRouter() -logger = logging.getLogger(__name__) - - -async def _schedule_next_recurring(schedule_id: str, schedule: dict): - """Schedule the next occurrence of a recurring schedule.""" - next_occurrence = _get_next_occurrence(schedule) - if next_occurrence is None: - logger.warning( - f"Could not calculate next occurrence for schedule {schedule_id}" - ) - return - - # Calculate delay until next occurrence - now = datetime.now(timezone.utc) - delay_seconds = (next_occurrence - now).total_seconds() - - if delay_seconds <= 0: - logger.warning(f"Next occurrence for {schedule_id} is in the past, skipping") - return - - # Create a unique shot ID for this occurrence - shot_id = f"recurring-{schedule_id}-{next_occurrence.isoformat()}" - - # Get schedule details - profile_id = schedule.get("profile_id") - preheat = schedule.get("preheat", True) - - # Add to scheduled shots (lock protects dict mutation) - async with _get_state_lock(): - _scheduled_shots[shot_id] = { - "id": shot_id, - "profile_id": profile_id, - "scheduled_time": next_occurrence.isoformat(), - "preheat": preheat, - "status": "scheduled", - "recurring_schedule_id": schedule_id, - "created_at": now.isoformat(), - } - - await _save_scheduled_shots() - - logger.info( - f"Scheduled recurring shot {shot_id} for {next_occurrence.isoformat()}", - extra={"schedule_id": schedule_id, "shot_id": shot_id}, - ) - - -@router.get("/api/machine/status") -async def get_machine_status(request: Request): - """Get the current status of the Meticulous machine. - - Returns machine state, current profile, and whether preheating is active. - """ - request_id = request.state.request_id - - try: - logger.info("Fetching machine status", extra={"request_id": request_id}) - - # Get current shot/status (live machine state) - try: - status = await async_session_get("/api/v1/status") - if status.status_code == 200: - status_data = status.json() - else: - status_data = {"state": "unknown"} - except Exception as e: - logger.warning(f"Could not fetch machine status: {e}") - status_data = {"state": "unknown", "error": str(e)} - - # Get settings to check preheat state - try: - settings = await async_get_settings() - if hasattr(settings, "error") and settings.error: - settings_data = {} - elif hasattr(settings, "model_dump"): - settings_data = settings.model_dump() - else: - settings_data = dict(settings) if settings else {} - except Exception as e: - logger.warning(f"Could not fetch settings: {e}") - settings_data = {} - - # Get last loaded profile - try: - last_profile = await async_get_last_profile() - if hasattr(last_profile, "error") and last_profile.error: - last_profile_data = None - elif hasattr(last_profile, "profile"): - last_profile_data = { - "id": last_profile.profile.id - if hasattr(last_profile.profile, "id") - else None, - "name": last_profile.profile.name - if hasattr(last_profile.profile, "name") - else None, - } - else: - last_profile_data = None - except Exception as e: - logger.warning(f"Could not fetch last profile: {e}") - last_profile_data = None - - return { - "status": "success", - "machine_status": status_data, - "settings": settings_data, - "current_profile": last_profile_data, - "scheduled_shots": list(_scheduled_shots.values()), - } - - except Exception as e: - logger.error( - f"Failed to get machine status: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/machine/preheat") -async def start_preheat(request: Request): - """Start preheating the machine. - - Preheating takes approximately 10 minutes to reach optimal temperature. - When *profile_id* is provided the profile is loaded on the machine first - so the display shows the correct profile during the heating phase. - """ - request_id = request.state.request_id - - # Accept optional JSON body with profile_id - profile_id: str | None = None - try: - body = await request.json() - profile_id = body.get("profile_id") if isinstance(body, dict) else None - except Exception: - pass # No body or non-JSON body is fine - - try: - logger.info( - "Starting machine preheat", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - if get_meticulous_api() is None: - raise HTTPException( - status_code=503, detail="Meticulous machine not connected" - ) - - # Pre-select the profile so the machine shows it during preheat - if profile_id: - try: - await async_load_profile_by_id(profile_id) - logger.info( - "Profile pre-selected for preheat: %s", - profile_id, - extra={"request_id": request_id}, - ) - except Exception as exc: - logger.warning("Failed to pre-select profile for preheat: %s", exc) - - # Use ActionType.PREHEAT to start the preheat cycle - try: - from meticulous.api_types import ActionType - - result = await async_execute_action(ActionType.PREHEAT) - - if hasattr(result, "error") and result.error: - raise HTTPException( - status_code=502, detail=f"Failed to start preheat: {result.error}" - ) - except ImportError: - # Fallback: direct API call - result = await async_session_post("/api/v1/action", {"action": "preheat"}) - if result.status_code != 200: - raise HTTPException( - status_code=502, detail=f"Failed to start preheat: {result.text}" - ) - - return { - "status": "success", - "message": "Preheat started", - "estimated_ready_in_minutes": PREHEAT_DURATION_MINUTES, - "profile_preselected": profile_id is not None, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to start preheat: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/machine/run-profile/{profile_id}") -async def run_profile(profile_id: str, request: Request): - """Load and run a profile immediately. - - This loads the profile into the machine and starts extraction. - """ - request_id = request.state.request_id - - try: - logger.info( - f"Running profile: {profile_id}", - extra={"request_id": request_id, "profile_id": profile_id}, - ) - - if get_meticulous_api() is None: - raise HTTPException( - status_code=503, detail="Meticulous machine not connected" - ) - - # Load the profile - load_result = await async_load_profile_by_id(profile_id) - if hasattr(load_result, "error") and load_result.error: - raise HTTPException( - status_code=502, detail=f"Failed to load profile: {load_result.error}" - ) - - # Start the extraction - from meticulous.api_types import ActionType - - action_result = await async_execute_action(ActionType.START) - if hasattr(action_result, "error") and action_result.error: - raise HTTPException( - status_code=502, - detail=f"Failed to start profile: {action_result.error}", - ) - - return { - "status": "success", - "message": "Profile started", - "profile_id": profile_id, - "action": action_result.action - if hasattr(action_result, "action") - else "start", - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to run profile: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "profile_id": profile_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/machine/run-profile-with-overrides/{profile_id}") -@router.post("/api/machine/run-profile-with-overrides/{profile_id}") -async def run_profile_with_overrides( - request: Request, - profile_id: str, - overrides_json: str = Form(default="{}"), - save_mode: str = Form(default="none"), - new_name: str = Form(default=""), -): - """Run a profile with temporary variable overrides. - - Uses the machine's ephemeral load endpoint (``POST /api/v1/profile/load``) - to load the modified profile into memory **without** saving it to the - catalogue. The original profile on the machine remains untouched, and - shot history records the original profile name. - - Args: - profile_id: ID of the source profile. - overrides_json: JSON string mapping variable keys to new numeric values. - save_mode: ``"none"`` | ``"save_original"`` | ``"save_new"``. - new_name: Required when *save_mode* is ``"save_new"``. - """ - request_id = request.state.request_id - - try: - overrides_dict: dict = json.loads(overrides_json) - except (json.JSONDecodeError, TypeError) as exc: - raise HTTPException(status_code=422, detail=f"Invalid overrides JSON: {exc}") - - if save_mode not in ("none", "save_original", "save_new"): - raise HTTPException(status_code=422, detail=f"Invalid save_mode: {save_mode}") - - if save_mode == "save_new" and not new_name.strip(): - raise HTTPException( - status_code=422, detail="new_name is required when save_mode is save_new" - ) - - # Reject info_ variable overrides - info_keys = [k for k in overrides_dict if k.startswith("info_")] - if info_keys: - raise HTTPException( - status_code=422, - detail=f"Cannot override info variables: {info_keys}", - ) - - try: - logger.info( - "Running profile with overrides: %s (%d override(s), save_mode=%s)", - profile_id, - len(overrides_dict), - save_mode, - extra={"request_id": request_id}, - ) - - if get_meticulous_api() is None: - raise HTTPException( - status_code=503, detail="Meticulous machine not connected" - ) - - # Fetch the original profile - original_profile = await async_get_profile(profile_id) - if original_profile is None: - raise HTTPException( - status_code=404, detail=f"Profile {profile_id} not found" - ) - if hasattr(original_profile, "error") and original_profile.error: - raise HTTPException( - status_code=404, - detail=f"Profile {profile_id} not found: {original_profile.error}", - ) - - # Normalise to dict - if hasattr(original_profile, "__dict__"): - profile_data: dict = deep_convert_to_dict(original_profile) - elif isinstance(original_profile, dict): - profile_data = original_profile - else: - raise HTTPException( - status_code=500, detail="Unexpected profile format from machine" - ) - - original_name = profile_data.get("name", "Unknown Profile") - - # --- Save-as-new: persist BEFORE loading so the machine reports --- - # --- the new name and the profile/image is available immediately --- - if save_mode == "save_new" and overrides_dict: - new_profile = temp_profile_service.apply_variable_overrides( - profile_data, overrides_dict - ) - new_profile.pop("id", None) - new_profile["name"] = new_name.strip() - try: - await async_create_profile(new_profile) - logger.info("Overrides saved as new profile '%s'", new_name.strip()) - except Exception as exc: - logger.error("Failed to save overrides as new profile: %s", exc) - raise HTTPException( - status_code=502, - detail=f"Failed to save new profile: {exc}", - ) - - if overrides_dict: - # Apply overrides to a deep copy - modified_profile = temp_profile_service.apply_variable_overrides( - profile_data, overrides_dict - ) - - # When saving as new, use the new name for the ephemeral load so - # the machine broadcasts the correct active_profile via WebSocket. - if save_mode == "save_new": - modified_profile["name"] = new_name.strip() - modified_profile.pop("id", None) - - # Ephemeral load: loads into machine memory without persisting. - result = await temp_profile_service.load_ephemeral( - modified_profile, - params={"overrides": overrides_dict, "source_profile_id": profile_id}, - previous_profile_id=profile_id, - previous_profile_name=original_name, - ) - else: - # No overrides — just load the original - await async_load_profile_by_id(profile_id) - result = {"profile_id": profile_id, "profile_name": original_name} - - # Start extraction - from meticulous.api_types import ActionType - - action_result = await async_execute_action(ActionType.START) - if hasattr(action_result, "error") and action_result.error: - raise HTTPException( - status_code=502, - detail=f"Failed to start profile: {action_result.error}", - ) - - # Handle save-to-original after starting (non-blocking) - if save_mode == "save_original" and overrides_dict: - saved_profile = temp_profile_service.apply_variable_overrides( - profile_data, overrides_dict - ) - saved_profile["id"] = profile_id - saved_profile["name"] = original_name - try: - await async_save_profile(saved_profile) - logger.info("Overrides saved back to original profile %s", profile_id) - except Exception as exc: - logger.error("Failed to save overrides to original profile: %s", exc) - - return { - "status": "success", - "message": "Profile started with overrides" - if overrides_dict - else "Profile started", - "profile_id": result["profile_id"], - "profile_name": result["profile_name"], - "overrides_applied": len(overrides_dict), - "save_mode": save_mode, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - "Failed to run profile with overrides: %s", - str(e), - exc_info=True, - extra={"request_id": request_id, "profile_id": profile_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/machine/schedule-shot") -async def schedule_shot(request: Request): - """Schedule a shot to run at a specific time. - - Request body: - - profile_id: str - The profile ID to run - - scheduled_time: str - ISO format datetime when to run the shot - - preheat: bool - Whether to preheat before the shot (default: false) - - If preheat is enabled, preheating will start 10 minutes before scheduled_time. - """ - request_id = request.state.request_id - - try: - body = await request.json() - profile_id = body.get("profile_id") - scheduled_time_str = body.get("scheduled_time") - preheat = body.get("preheat", False) - - if not scheduled_time_str: - raise HTTPException(status_code=400, detail="scheduled_time is required") - - # Validate that we have either a profile or preheat enabled - if not profile_id and not preheat: - raise HTTPException( - status_code=400, detail="Either profile_id or preheat must be provided" - ) - - # Parse the scheduled time - try: - scheduled_time = datetime.fromisoformat( - scheduled_time_str.replace("Z", "+00:00") - ) - # Ensure timezone-aware datetime - if scheduled_time.tzinfo is None: - scheduled_time = scheduled_time.replace(tzinfo=timezone.utc) - except ValueError: - raise HTTPException( - status_code=400, detail="Invalid scheduled_time format. Use ISO format." - ) - - # Calculate delays - now = datetime.now(timezone.utc) - shot_delay = (scheduled_time - now).total_seconds() - - if shot_delay < 0: - raise HTTPException( - status_code=400, detail="scheduled_time must be in the future" - ) - - # Generate a unique ID for this scheduled shot - schedule_id = str(uuid.uuid4()) - - # Store the scheduled shot info - scheduled_shot = { - "id": schedule_id, - "profile_id": profile_id, - "scheduled_time": scheduled_time_str, - "preheat": preheat, - "status": "scheduled", - "created_at": datetime.now(timezone.utc).isoformat(), - } - async with _get_state_lock(): - _scheduled_shots[schedule_id] = scheduled_shot - - # Persist to disk - await _save_scheduled_shots() - - logger.info( - f"Scheduling shot: {schedule_id}", - extra={ - "request_id": request_id, - "schedule_id": schedule_id, - "profile_id": profile_id, - "scheduled_time": scheduled_time_str, - "preheat": preheat, - }, - ) - - # Create async task to execute at scheduled time - async def _execute_shot_task(): - try: - task_start_time = datetime.now(timezone.utc) - - # Track whether we've already waited the full delay - full_delay_waited = False - - # If preheat is enabled, start it 10 minutes before - if preheat: - preheat_delay = shot_delay - (PREHEAT_DURATION_MINUTES * 60) - if preheat_delay > 0: - await asyncio.sleep(preheat_delay) - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "preheating" - await _save_scheduled_shots() - - # Start preheat using ActionType.PREHEAT - try: - from meticulous.api_types import ActionType as AT - - await async_execute_action(AT.PREHEAT) - except Exception as e: - logger.warning( - f"Preheat failed for scheduled shot {schedule_id}: {e}" - ) - - # Wait for remaining time until shot - await asyncio.sleep(PREHEAT_DURATION_MINUTES * 60) - full_delay_waited = True - else: - # Not enough time for full preheat, start immediately - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "preheating" - await _save_scheduled_shots() - try: - from meticulous.api_types import ActionType as AT - - await async_execute_action(AT.PREHEAT) - except Exception as e: - logger.warning( - f"Preheat failed for scheduled shot {schedule_id}: {e}" - ) - - # If we haven't already waited the full delay, calculate remaining time - if not full_delay_waited: - elapsed = ( - datetime.now(timezone.utc) - task_start_time - ).total_seconds() - remaining_delay = max(0, shot_delay - elapsed) - await asyncio.sleep(remaining_delay) - - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "running" - await _save_scheduled_shots() - - # Load and run the profile (if profile_id was provided) - if profile_id: - load_result = await async_load_profile_by_id(profile_id) - if not (hasattr(load_result, "error") and load_result.error): - from meticulous.api_types import ActionType - - await async_execute_action(ActionType.START) - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "completed" - await _save_scheduled_shots() - else: - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "failed" - _scheduled_shots[schedule_id]["error"] = load_result.error - await _save_scheduled_shots() - else: - # Preheat only mode - mark as completed - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "completed" - await _save_scheduled_shots() - - except asyncio.CancelledError: - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "cancelled" - await _save_scheduled_shots() - except Exception as e: - logger.error(f"Scheduled shot {schedule_id} failed: {e}") - async with _get_state_lock(): - _scheduled_shots[schedule_id]["status"] = "failed" - _scheduled_shots[schedule_id]["error"] = str(e) - await _save_scheduled_shots() - finally: - # Clean up task reference - async with _get_state_lock(): - if schedule_id in _scheduled_tasks: - del _scheduled_tasks[schedule_id] - - # Start the background task - task = asyncio.create_task(_execute_shot_task()) - async with _get_state_lock(): - _scheduled_tasks[schedule_id] = task - - return { - "status": "success", - "schedule_id": schedule_id, - "scheduled_shot": scheduled_shot, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to schedule shot: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.delete("/api/machine/schedule-shot/{schedule_id}") -async def cancel_scheduled_shot(schedule_id: str, request: Request): - """Cancel a scheduled shot.""" - request_id = request.state.request_id - - try: - async with _get_state_lock(): - if schedule_id not in _scheduled_shots: - raise HTTPException(status_code=404, detail="Scheduled shot not found") - - # Cancel the task if it exists - if schedule_id in _scheduled_tasks: - _scheduled_tasks[schedule_id].cancel() - del _scheduled_tasks[schedule_id] - - _scheduled_shots[schedule_id]["status"] = "cancelled" - - # Persist to disk - await _save_scheduled_shots() - - logger.info( - f"Cancelled scheduled shot: {schedule_id}", - extra={"request_id": request_id, "schedule_id": schedule_id}, - ) - - return { - "status": "success", - "message": "Scheduled shot cancelled", - "schedule_id": schedule_id, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to cancel scheduled shot: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "schedule_id": schedule_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.get("/api/machine/scheduled-shots") -async def list_scheduled_shots(request: Request): - """List all scheduled shots.""" - request_id = request.state.request_id - - try: - # Clean up completed/cancelled shots older than 1 hour - now = datetime.now(timezone.utc) - async with _get_state_lock(): - to_remove = [] - for schedule_id, shot in _scheduled_shots.items(): - if shot["status"] in ["completed", "cancelled", "failed"]: - created_at = datetime.fromisoformat( - shot["created_at"].replace("Z", "+00:00") - ) - if (now - created_at).total_seconds() > 3600: - to_remove.append(schedule_id) - - for schedule_id in to_remove: - del _scheduled_shots[schedule_id] - - result = list(_scheduled_shots.values()) - - # Persist changes if any shots were removed - if to_remove: - await _save_scheduled_shots() - - return {"status": "success", "scheduled_shots": result} - - except Exception as e: - logger.error( - f"Failed to list scheduled shots: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -# ============================================================================== -# Recurring Schedule Endpoints -# ============================================================================== - - -@router.get("/api/machine/recurring-schedules") -async def list_recurring_schedules(request: Request): - """List all recurring schedules.""" - request_id = request.state.request_id - - try: - logger.debug("Listing recurring schedules", extra={"request_id": request_id}) - - # Enrich schedules with next occurrence - enriched_schedules = [] - for schedule_id, schedule in _recurring_schedules.items(): - schedule_copy = {**schedule, "id": schedule_id} - next_time = _get_next_occurrence(schedule) - if next_time: - schedule_copy["next_occurrence"] = next_time.isoformat() - enriched_schedules.append(schedule_copy) - - return {"status": "success", "recurring_schedules": enriched_schedules} - - except Exception as e: - logger.error( - f"Failed to list recurring schedules: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/machine/recurring-schedules") -async def create_recurring_schedule(request: Request): - """Create a new recurring schedule. - - Request body: - - name: str - Display name for the schedule - - time: str - Time in HH:MM format (24-hour) - - recurrence_type: str - One of: 'daily', 'weekdays', 'weekends', 'interval', 'specific_days' - - interval_days: int - For 'interval' type, number of days between runs (default: 1) - - days_of_week: list[int] - For 'specific_days' type, list of day numbers (0=Monday, 6=Sunday) - - profile_id: str | null - Profile to run (null for preheat only) - - preheat: bool - Whether to preheat before the shot (default: true) - - enabled: bool - Whether the schedule is active (default: true) - """ - request_id = request.state.request_id - - try: - body = await request.json() - - # Validate required fields - time_str = body.get("time") - if not time_str: - raise HTTPException( - status_code=400, detail="time is required (HH:MM format)" - ) - - # Validate time format - try: - hour, minute = map(int, time_str.split(":")) - if not (0 <= hour <= 23 and 0 <= minute <= 59): - raise ValueError("Invalid time") - except (ValueError, AttributeError): - raise HTTPException( - status_code=400, detail="Invalid time format. Use HH:MM (24-hour)" - ) - - recurrence_type = body.get("recurrence_type", "daily") - valid_types = ["daily", "weekdays", "weekends", "interval", "specific_days"] - if recurrence_type not in valid_types: - raise HTTPException( - status_code=400, detail=f"recurrence_type must be one of: {valid_types}" - ) - - # Validate type-specific fields - if recurrence_type == "interval": - interval_days = body.get("interval_days", 1) - if not isinstance(interval_days, int) or interval_days < 1: - raise HTTPException( - status_code=400, detail="interval_days must be a positive integer" - ) - - if recurrence_type == "specific_days": - days_of_week = body.get("days_of_week", []) - if not isinstance(days_of_week, list) or not all( - isinstance(d, int) and 0 <= d <= 6 for d in days_of_week - ): - raise HTTPException( - status_code=400, - detail="days_of_week must be a list of integers 0-6", - ) - if not days_of_week: - raise HTTPException( - status_code=400, - detail="days_of_week cannot be empty for specific_days type", - ) - - profile_id = body.get("profile_id") - preheat = body.get("preheat", True) - - if not profile_id and not preheat: - raise HTTPException( - status_code=400, detail="Either profile_id or preheat must be provided" - ) - - # Generate unique ID - schedule_id = str(uuid.uuid4()) - - # Create schedule object - schedule = { - "name": body.get("name", f"Schedule {time_str}"), - "time": time_str, - "recurrence_type": recurrence_type, - "interval_days": body.get("interval_days", 1) - if recurrence_type == "interval" - else None, - "days_of_week": body.get("days_of_week", []) - if recurrence_type == "specific_days" - else None, - "profile_id": profile_id, - "preheat": preheat, - "enabled": body.get("enabled", True), - "created_at": datetime.now(timezone.utc).isoformat(), - } - - async with _get_state_lock(): - _recurring_schedules[schedule_id] = schedule - await _save_recurring_schedules() - - # Schedule the next occurrence immediately - if schedule["enabled"]: - await _schedule_next_recurring(schedule_id, schedule) - - logger.info( - f"Created recurring schedule: {schedule_id}", - extra={"request_id": request_id, "schedule": schedule}, - ) - - next_time = _get_next_occurrence(schedule) - - return { - "status": "success", - "message": "Recurring schedule created", - "schedule_id": schedule_id, - "schedule": {**schedule, "id": schedule_id}, - "next_occurrence": next_time.isoformat() if next_time else None, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to create recurring schedule: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.put("/api/machine/recurring-schedules/{schedule_id}") -async def update_recurring_schedule(schedule_id: str, request: Request): - """Update an existing recurring schedule.""" - request_id = request.state.request_id - - try: - body = await request.json() - - async with _get_state_lock(): - if schedule_id not in _recurring_schedules: - raise HTTPException( - status_code=404, detail="Recurring schedule not found" - ) - - schedule = _recurring_schedules[schedule_id] - - # Update allowed fields - if "name" in body: - schedule["name"] = body["name"] - if "time" in body: - time_str = body["time"] - try: - hour, minute = map(int, time_str.split(":")) - if not (0 <= hour <= 23 and 0 <= minute <= 59): - raise ValueError("Invalid time") - schedule["time"] = time_str - except (ValueError, AttributeError): - raise HTTPException( - status_code=400, - detail="Invalid time format. Use HH:MM (24-hour)", - ) - if "recurrence_type" in body: - valid_types = [ - "daily", - "weekdays", - "weekends", - "interval", - "specific_days", - ] - if body["recurrence_type"] not in valid_types: - raise HTTPException( - status_code=400, - detail=f"recurrence_type must be one of: {valid_types}", - ) - schedule["recurrence_type"] = body["recurrence_type"] - if "interval_days" in body: - schedule["interval_days"] = body["interval_days"] - if "days_of_week" in body: - schedule["days_of_week"] = body["days_of_week"] - if "profile_id" in body: - schedule["profile_id"] = body["profile_id"] - if "preheat" in body: - schedule["preheat"] = body["preheat"] - if "enabled" in body: - schedule["enabled"] = body["enabled"] - - schedule["updated_at"] = datetime.now(timezone.utc).isoformat() - - await _save_recurring_schedules() - - # If enabled, ensure next occurrence is scheduled - if schedule.get("enabled", True): - await _schedule_next_recurring(schedule_id, schedule) - - logger.info( - f"Updated recurring schedule: {schedule_id}", - extra={"request_id": request_id}, - ) - - next_time = _get_next_occurrence(schedule) - - return { - "status": "success", - "message": "Recurring schedule updated", - "schedule": {**schedule, "id": schedule_id}, - "next_occurrence": next_time.isoformat() if next_time else None, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to update recurring schedule: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.delete("/api/machine/recurring-schedules/{schedule_id}") -async def delete_recurring_schedule(schedule_id: str, request: Request): - """Delete a recurring schedule.""" - request_id = request.state.request_id - - try: - async with _get_state_lock(): - if schedule_id not in _recurring_schedules: - raise HTTPException( - status_code=404, detail="Recurring schedule not found" - ) - - # Cancel any pending shots for this schedule - for shot_id, shot in list(_scheduled_shots.items()): - if ( - shot.get("recurring_schedule_id") == schedule_id - and shot.get("status") == "scheduled" - ): - if shot_id in _scheduled_tasks: - _scheduled_tasks[shot_id].cancel() - del _scheduled_tasks[shot_id] - _scheduled_shots[shot_id]["status"] = "cancelled" - - await _save_scheduled_shots() - - # Delete the recurring schedule - async with _get_state_lock(): - del _recurring_schedules[schedule_id] - await _save_recurring_schedules() - - logger.info( - f"Deleted recurring schedule: {schedule_id}", - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "message": "Recurring schedule deleted", - "schedule_id": schedule_id, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to delete recurring schedule: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) diff --git a/apps/server/api/routes/shots.py b/apps/server/api/routes/shots.py deleted file mode 100644 index 98179992..00000000 --- a/apps/server/api/routes/shots.py +++ /dev/null @@ -1,1888 +0,0 @@ -"""Shot history and analysis endpoints.""" - -from fastapi import APIRouter, Request, Form, HTTPException -from typing import Optional -import asyncio -import json -import math -import re -import time -import logging -import httpx -import requests - -from services.meticulous_service import ( - fetch_shot_data, - async_list_profiles, - async_get_history_dates, - async_get_shot_files, - async_get_profile, - MachineUnreachableError, -) -from services.cache_service import ( - get_cached_llm_analysis, - save_llm_analysis_to_cache, - _get_cached_shots, - _set_cached_shots, - get_indexed_dates, - lookup_shots_by_profile, - get_all_indexed_shots, - update_shot_index, -) -from services.analysis_service import _perform_local_shot_analysis -from services.gemini_service import ( - get_vision_model, - PROFILING_KNOWLEDGE, - compute_taste_hash, -) -from prompt_builder import build_taste_context -from services.analysis_validator import validate_against_facts, check_structure -from analysis_knowledge import ( - ANALYSIS_KNOWLEDGE, - FEW_SHOT_ANALYSIS_EXAMPLE, - build_fact_sheet, -) - -router = APIRouter() -logger = logging.getLogger(__name__) - - -def _safe_float(val, default=0.0): - """Convert a value to float safely, returning default on failure.""" - try: - return float(val) - except (ValueError, TypeError): - return default - - -@router.get("/api/last-shot") -async def get_last_shot(request: Request): - """Return metadata for the most recent shot without loading full telemetry. - - This powers the "Analyze your last shot?" banner on the home screen. - Returns 404 if no shots exist. - """ - request_id = request.state.request_id - try: - dates_result = await async_get_history_dates() - if hasattr(dates_result, "error") and dates_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {dates_result.error}" - ) - - dates = ( - sorted([d.name for d in dates_result], reverse=True) if dates_result else [] - ) - if not dates: - raise HTTPException(status_code=404, detail="No shots found") - - # Walk dates newest-first until we find a file - for date in dates: - files_result = await async_get_shot_files(date) - if hasattr(files_result, "error") and files_result.error: - continue - files = ( - sorted([f.name for f in files_result], reverse=True) - if files_result - else [] - ) - if not files: - continue - - filename = files[0] - shot_data = await fetch_shot_data(date, filename) - - profile_name = shot_data.get("profile_name", "") - if not profile_name and isinstance(shot_data.get("profile"), dict): - profile_name = shot_data["profile"].get("name", "") - - data_entries = shot_data.get("data", []) - final_weight = None - total_time_ms = None - if data_entries: - last_entry = data_entries[-1] - if isinstance(last_entry.get("shot"), dict): - final_weight = last_entry["shot"].get("weight") - total_time_ms = last_entry.get("time") - - return { - "profile_name": profile_name, - "date": date, - "filename": filename, - "timestamp": shot_data.get("time"), - "final_weight": final_weight, - "total_time": total_time_ms / 1000 if total_time_ms else None, - } - - raise HTTPException(status_code=404, detail="No shots found") - - except MachineUnreachableError: - raise - except ( - requests.exceptions.ConnectionError, - httpx.ConnectError, - httpx.ConnectTimeout, - ) as e: - logger.warning( - f"Machine unreachable while fetching last shot: {e}", - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=503, - detail=( - "Espresso machine is unreachable. Check that the machine is powered on " - "and METICULOUS_IP is correct in Settings." - ), - ) - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to get last shot: {e}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException(status_code=500, detail=str(e)) - - -def _prepare_profile_for_llm(profile_data: dict, description: str | None) -> dict: - """Prepare profile data for LLM, removing image and limiting description.""" - # Build clean profile without image - clean_profile = { - "name": profile_data.get("name"), - "temperature": profile_data.get("temperature"), - "final_weight": profile_data.get("final_weight"), - "variables": profile_data.get("variables", []), - "stages": [], - } - - # Include stage structure but not full dynamics data - for stage in profile_data.get("stages", []): - clean_stage = { - "name": stage.get("name"), - "type": stage.get("type"), - "exit_triggers": stage.get("exit_triggers", []), - "limits": stage.get("limits", []), - } - # Add a summary of dynamics - dynamics = stage.get("dynamics_points", []) - if dynamics: - if len(dynamics) == 1: - clean_stage["target"] = ( - f"Constant at {dynamics[0][1] if len(dynamics[0]) > 1 else dynamics[0][0]}" - ) - elif len(dynamics) >= 2: - start = dynamics[0][1] if len(dynamics[0]) > 1 else dynamics[0][0] - end = dynamics[-1][1] if len(dynamics[-1]) > 1 else dynamics[-1][0] - clean_stage["target"] = f"{start} → {end}" - clean_profile["stages"].append(clean_stage) - - return clean_profile - - -@router.get("/api/shots/dates") -async def get_shot_dates(request: Request): - """Get all available shot dates from the machine. - - Returns: - List of dates with available shot history - """ - request_id = request.state.request_id - - try: - logger.info("Fetching shot history dates", extra={"request_id": request_id}) - - result = await async_get_history_dates() - - # Check for API error - if hasattr(result, "error") and result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {result.error}" - ) - - # Extract date names - dates = [d.name for d in result] if result else [] - - return {"dates": sorted(dates, reverse=True)} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to fetch shot dates: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to fetch shot dates from machine", - }, - ) - - -@router.get("/api/shots/files/{date}") -async def get_shot_files(request: Request, date: str): - """Get shot files for a specific date. - - Args: - date: Date in YYYY-MM-DD format - - Returns: - List of shot filenames for that date - """ - # Validate date format to prevent path traversal - if not re.match(r"^\d{4}-\d{2}-\d{2}$", date): - raise HTTPException( - status_code=400, detail="Invalid date format. Expected YYYY-MM-DD." - ) - - request_id = request.state.request_id - - try: - logger.info( - "Fetching shot files for date", - extra={"request_id": request_id, "date": date}, - ) - - result = await async_get_shot_files(date) - - # Check for API error - if hasattr(result, "error") and result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {result.error}" - ) - - # Extract filenames - files = [f.name for f in result] if result else [] - - return {"date": date, "files": files} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to fetch shot files: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "date": date, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to fetch shot files from machine", - }, - ) - - -@router.get("/api/shots/data/{date}/{filename:path}") -async def get_shot_data(request: Request, date: str, filename: str): - """Get the actual shot data for a specific shot. - - Args: - date: Date in YYYY-MM-DD format - filename: Shot filename (e.g., HH:MM:SS.shot.json.zst) - - Returns: - Decompressed shot data with telemetry - """ - # Validate inputs to prevent path traversal / SSRF - if not re.match(r"^\d{4}-\d{2}-\d{2}$", date): - raise HTTPException( - status_code=400, detail="Invalid date format. Expected YYYY-MM-DD." - ) - if ".." in filename or filename.startswith("/"): - raise HTTPException(status_code=400, detail="Invalid filename.") - - request_id = request.state.request_id - - try: - logger.info( - "Fetching shot data", - extra={"request_id": request_id, "date": date, "shot_file": filename}, - ) - - shot_data = await fetch_shot_data(date, filename) - - return {"date": date, "filename": filename, "data": shot_data} - - except Exception as e: - logger.error( - f"Failed to fetch shot data: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "date": date, - "shot_file": filename, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to fetch shot data from machine", - }, - ) - - -@router.get("/api/shots/by-profile/{profile_name}") -async def get_shots_by_profile( - request: Request, - profile_name: str, - limit: int = 20, - include_data: bool = False, - force_refresh: bool = False, -): - """Get all shots that used a specific profile. - - This endpoint scans shot history to find all shots that match the given profile name. - Results are cached server-side indefinitely, but marked stale after 60 minutes. - When stale, cached data is still returned with is_stale=true so client can show it - while fetching fresh data in the background. - - Args: - profile_name: Name of the profile to search for - limit: Maximum number of shots to return (default: 20) - include_data: Whether to include full telemetry data (default: False for performance) - force_refresh: Skip cache and fetch fresh data (default: False) - - Returns: - List of shots matching the profile, with cache metadata (cached_at, is_stale) - """ - request_id = request.state.request_id - - try: - logger.info( - "Searching for shots by profile", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "limit": limit, - "force_refresh": force_refresh, - }, - ) - - # Check server-side cache first (unless forcing refresh or requesting data) - if not force_refresh and not include_data: - cached_data, is_stale, cached_at = _get_cached_shots(profile_name, limit) - if cached_data: - logger.info( - f"Returning cached shots for profile '{profile_name}' (stale={is_stale})", - extra={ - "request_id": request_id, - "count": cached_data.get("count", 0), - "from_cache": True, - "is_stale": is_stale, - }, - ) - # Add cache metadata to response - cached_data["cached_at"] = cached_at - cached_data["is_stale"] = is_stale - return cached_data - - # Get all available dates - dates_result = await async_get_history_dates() - if hasattr(dates_result, "error") and dates_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {dates_result.error}" - ) - - dates = [d.name for d in dates_result] if dates_result else [] - - # ---- Phase 1: Check shot profile index for instant results ---- - if not include_data: - indexed = lookup_shots_by_profile(profile_name, limit) - indexed_dates = get_indexed_dates() - if indexed is not None and set(dates).issubset(indexed_dates): - # Index covers all dates — return directly - current_time = time.time() - response_data = { - "profile_name": profile_name, - "shots": indexed[:limit], - "count": len(indexed[:limit]), - "limit": limit, - "cached_at": current_time, - "is_stale": False, - } - _set_cached_shots(profile_name, response_data, limit) - return response_data - - # ---- Phase 2: Parallel scan for un-indexed dates ---- - indexed_dates = get_indexed_dates() - new_dates = [d for d in dates if d not in indexed_dates] - already_indexed_dates = [d for d in dates if d in indexed_dates] - - # Higher concurrency for file listing (lightweight calls) - sem_files = asyncio.Semaphore(20) - - async def _list_files(date: str): - async with sem_files: - try: - result = await async_get_shot_files(date) - if hasattr(result, "error") and result.error: - return date, [] - return date, [f.name for f in result] if result else [] - except Exception: - return date, [] - - # Fetch file listings for ALL new dates in parallel - file_results = await asyncio.gather( - *[_list_files(d) for d in sorted(new_dates, reverse=True)], - return_exceptions=True, - ) - - # Build flat list of (date, filename) to scan — newest first - shots_to_scan = [] - for result in file_results: - if isinstance(result, Exception): - continue - date, files = result - for fn in sorted(files, reverse=True): - shots_to_scan.append((date, fn)) - - # Fetch and index shots in parallel with higher concurrency - sem = asyncio.Semaphore(15) - new_index_entries = {} - - async def _fetch_and_index(date: str, filename: str): - """Fetch a shot, extract metadata, return index entry.""" - async with sem: - try: - shot_data = await fetch_shot_data(date, filename) - except Exception as e: - logger.warning( - f"Could not process shot {date}/{filename}: {str(e)}", - extra={"request_id": request_id}, - ) - return None - - shot_profile_name = shot_data.get("profile_name", "") - if not shot_profile_name and isinstance(shot_data.get("profile"), dict): - shot_profile_name = shot_data.get("profile", {}).get("name", "") - - profile_id = "" - if isinstance(shot_data.get("profile"), dict): - profile_id = shot_data["profile"].get("id", "") - - data_entries = shot_data.get("data", []) - final_weight = None - total_time_ms = None - if data_entries: - last_entry = data_entries[-1] - if isinstance(last_entry.get("shot"), dict): - final_weight = last_entry["shot"].get("weight") - total_time_ms = last_entry.get("time") - - key = f"{date}/{filename}" - entry = { - "name": shot_profile_name, - "profile_id": profile_id, - "weight": final_weight, - "time_ms": total_time_ms, - "timestamp": shot_data.get("time"), - } - new_index_entries[key] = entry - - if shot_profile_name.lower() != profile_name.lower(): - return None - - shot_info = { - "date": date, - "filename": filename, - "timestamp": shot_data.get("time"), - "profile_name": shot_profile_name, - "final_weight": final_weight, - "total_time": total_time_ms / 1000 if total_time_ms else None, - } - if include_data: - shot_info["data"] = shot_data - return shot_info - - # Fire all scans in parallel - scan_results = await asyncio.gather( - *[_fetch_and_index(d, fn) for d, fn in shots_to_scan], - return_exceptions=True, - ) - - # Persist index entries - if new_index_entries: - update_shot_index(new_index_entries, new_dates) - - # Collect matches from new scans - new_matches = [ - r for r in scan_results if r is not None and not isinstance(r, Exception) - ] - - # Combine with matches from already-indexed dates - indexed_matches = lookup_shots_by_profile(profile_name, limit) or [] - # Filter indexed matches to only already-indexed dates - idx_from_cache = [ - m for m in indexed_matches if m["date"] in already_indexed_dates - ] - - matching_shots = new_matches + idx_from_cache - # Sort newest first, trim to limit - matching_shots.sort(key=lambda x: x.get("timestamp") or "", reverse=True) - matching_shots = matching_shots[:limit] - - logger.info( - f"Found {len(matching_shots)} shots for profile '{profile_name}'", - extra={"request_id": request_id, "count": len(matching_shots)}, - ) - - current_time = time.time() - response_data = { - "profile_name": profile_name, - "shots": matching_shots, - "count": len(matching_shots), - "limit": limit, - "cached_at": current_time, - "is_stale": False, - } - - # Cache the result (only if not including full data, which is too large) - if not include_data: - _set_cached_shots(profile_name, response_data, limit) - - return response_data - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to search shots by profile: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to search shots by profile", - }, - ) - - -@router.post("/api/shots/analyze") -async def analyze_shot( - request: Request, - profile_name: str = Form(...), - shot_date: str = Form(...), - shot_filename: str = Form(...), - profile_description: Optional[str] = Form(None), -): - """Analyze a shot against its profile using local algorithmic analysis. - - This endpoint fetches the shot data and profile information, then performs - a detailed comparison of actual execution vs profile intent. - - Args: - profile_name: Name of the profile used for the shot - shot_date: Date of the shot (YYYY-MM-DD) - shot_filename: Filename of the shot - profile_description: Optional description of the profile's intent (for future AI use) - - Returns: - Detailed analysis of shot performance against profile - """ - request_id = request.state.request_id - - try: - logger.info( - "Starting shot analysis", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - }, - ) - - # Fetch shot data - shot_data = await fetch_shot_data(shot_date, shot_filename) - - # Fetch profile from machine - profiles_result = await async_list_profiles() - - logger.debug( - f"Looking for profile '{profile_name}' in {len(profiles_result)} profiles" - ) - - profile_data = None - for partial_profile in profiles_result: - # Compare ignoring case and whitespace - if partial_profile.name.lower().strip() == profile_name.lower().strip(): - logger.debug( - f"Found matching profile: {partial_profile.name} (id={partial_profile.id})" - ) - full_profile = await async_get_profile(partial_profile.id) - if not (hasattr(full_profile, "error") and full_profile.error): - # Convert profile object to dict - profile_data = { - "name": full_profile.name, - "temperature": getattr(full_profile, "temperature", None), - "final_weight": getattr(full_profile, "final_weight", None), - "variables": [], - "stages": [], - } - - # Extract variables if present - if hasattr(full_profile, "variables") and full_profile.variables: - for var in full_profile.variables: - var_dict = { - "key": getattr(var, "key", ""), - "name": getattr(var, "name", ""), - "type": getattr(var, "type", ""), - "value": getattr(var, "value", 0), - } - profile_data["variables"].append(var_dict) - - # Extract full stage data including dynamics and triggers - if hasattr(full_profile, "stages") and full_profile.stages: - for stage in full_profile.stages: - stage_dict = { - "name": getattr(stage, "name", "Unknown"), - "key": getattr(stage, "key", ""), - "type": getattr(stage, "type", "unknown"), - } - # Add dynamics - handle both direct attributes and dynamics object - if ( - hasattr(stage, "dynamics") - and stage.dynamics is not None - ): - dynamics = stage.dynamics - if hasattr(dynamics, "points") and dynamics.points: - stage_dict["dynamics_points"] = dynamics.points - if hasattr(dynamics, "over"): - stage_dict["dynamics_over"] = dynamics.over - if hasattr(dynamics, "interpolation"): - stage_dict["dynamics_interpolation"] = ( - dynamics.interpolation - ) - else: - # Fallback: check for direct attributes - for attr in [ - "dynamics_points", - "dynamics_over", - "dynamics_interpolation", - ]: - val = getattr(stage, attr, None) - if val is not None: - stage_dict[attr] = val - # Add exit triggers and limits - for attr in ["exit_triggers", "limits"]: - val = getattr(stage, attr, None) - if val is not None: - # Convert to list of dicts if needed - if isinstance(val, list): - stage_dict[attr] = [ - ( - dict(item) - if hasattr(item, "__dict__") - else item - ) - for item in val - ] - else: - stage_dict[attr] = val - profile_data["stages"].append(stage_dict) - break - - if not profile_data: - # Fallback: try to get profile from shot data itself - shot_profile = shot_data.get("profile", {}) - if shot_profile: - profile_data = shot_profile - else: - raise HTTPException( - status_code=404, - detail=f"Profile '{profile_name}' not found on machine or in shot data", - ) - - # Perform local analysis - analysis = _perform_local_shot_analysis(shot_data, profile_data) - - logger.info( - "Shot analysis completed successfully", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "stages_analyzed": len(analysis.get("stage_analyses", [])), - "unreached_stages": len(analysis.get("unreached_stages", [])), - }, - ) - - return {"status": "success", "analysis": analysis} - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Shot analysis failed: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - "error_type": type(e).__name__, - }, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Shot analysis failed", - }, - ) - - -@router.get("/api/shots/llm-analysis-cache") -async def get_llm_analysis_cache( - request: Request, profile_name: str, shot_date: str, shot_filename: str -): - """Check if a cached LLM analysis exists for the given shot. - - Returns the cached analysis if it exists and is not expired, - otherwise returns null. - """ - request_id = request.state.request_id - - logger.info( - "Checking LLM analysis cache", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - }, - ) - - cached = get_cached_llm_analysis(profile_name, shot_date, shot_filename) - - if cached: - logger.info( - "LLM analysis cache hit", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - return {"status": "success", "cached": True, "analysis": cached} - else: - logger.info( - "LLM analysis cache miss", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - return {"status": "success", "cached": False, "analysis": None} - - -@router.post("/api/shots/analyze-llm") -async def analyze_shot_with_llm( - request: Request, - profile_name: str = Form(...), - shot_date: str = Form(...), - shot_filename: str = Form(...), - profile_description: Optional[str] = Form(None), - force_refresh: bool = Form(False), - taste_x: Optional[float] = Form(None), - taste_y: Optional[float] = Form(None), - taste_descriptors: Optional[str] = Form(None), -): - """Analyze a shot using LLM with expert profiling knowledge. - - This endpoint performs a deep analysis of shot execution, combining: - - Local algorithmic analysis for data extraction - - Expert espresso profiling knowledge - - LLM reasoning for actionable recommendations - - Results are cached server-side for 3 days. - Use force_refresh=True to bypass cache and regenerate analysis. - - Returns structured analysis answering: - 1. How did the shot go and why? - 2. What should change about the setup (grind, filter, basket, prep)? - 3. What should change about the profile? - 4. Any issues found in the profile design itself? - """ - request_id = request.state.request_id - - # Validate taste coordinate bounds - if taste_x is not None and not (-1.0 <= taste_x <= 1.0): - raise HTTPException(status_code=422, detail="taste_x must be between -1 and 1") - if taste_y is not None and not (-1.0 <= taste_y <= 1.0): - raise HTTPException(status_code=422, detail="taste_y must be between -1 and 1") - - # Parse and validate taste descriptors from comma-separated string - _VALID_DESCRIPTORS = { - "sweet", - "clean", - "complex", - "juicy", - "smooth", - "balanced", - "floral", - "fruity", - "astringent", - "muddy", - "flat", - "chalky", - "harsh", - "watery", - "burnt", - "grassy", - } - parsed_descriptors: list[str] | None = None - if taste_descriptors: - parsed_descriptors = [ - d.strip().lower() - for d in taste_descriptors.split(",") - if d.strip() and d.strip().lower() in _VALID_DESCRIPTORS - ] or None - - # Compute taste hash for cache differentiation - taste_hash = compute_taste_hash(taste_x, taste_y, parsed_descriptors) - cache_filename = ( - f"{shot_filename}_taste_{taste_hash}" if taste_hash else shot_filename - ) - - try: - logger.info( - "Starting LLM shot analysis", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - "force_refresh": force_refresh, - "has_taste_data": taste_hash is not None, - }, - ) - - # Check cache first (unless force refresh) - if not force_refresh: - cached_analysis = get_cached_llm_analysis( - profile_name, shot_date, cache_filename - ) - if cached_analysis: - logger.info( - "Returning cached LLM analysis", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - return { - "status": "success", - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - "llm_analysis": cached_analysis, - "cached": True, - } - - # Fetch shot data - shot_data = await fetch_shot_data(shot_date, shot_filename) - - # Fetch profile from machine (with variables) - profiles_result = await async_list_profiles() - - profile_data = None - for partial_profile in profiles_result: - if partial_profile.name.lower() == profile_name.lower(): - full_profile = await async_get_profile(partial_profile.id) - if not (hasattr(full_profile, "error") and full_profile.error): - profile_data = { - "name": full_profile.name, - "temperature": getattr(full_profile, "temperature", None), - "final_weight": getattr(full_profile, "final_weight", None), - "variables": [], - "stages": [], - } - - # Extract variables - if hasattr(full_profile, "variables") and full_profile.variables: - for var in full_profile.variables: - profile_data["variables"].append( - { - "key": getattr(var, "key", ""), - "name": getattr(var, "name", ""), - "type": getattr(var, "type", ""), - "value": getattr(var, "value", 0), - } - ) - - # Extract stages with full details - if hasattr(full_profile, "stages") and full_profile.stages: - for stage in full_profile.stages: - stage_dict = { - "name": getattr(stage, "name", "Unknown"), - "key": getattr(stage, "key", ""), - "type": getattr(stage, "type", "unknown"), - } - for attr in [ - "dynamics_points", - "dynamics_over", - "dynamics_interpolation", - "exit_triggers", - "limits", - ]: - val = getattr(stage, attr, None) - if val is not None: - if isinstance(val, list): - stage_dict[attr] = [ - ( - dict(item) - if hasattr(item, "__dict__") - else item - ) - for item in val - ] - else: - stage_dict[attr] = val - profile_data["stages"].append(stage_dict) - break - - if not profile_data: - raise HTTPException( - status_code=404, detail=f"Profile '{profile_name}' not found on machine" - ) - - # Run local analysis first to extract data - local_analysis = _perform_local_shot_analysis(shot_data, profile_data) - shot_facts = local_analysis.get("shot_facts", {}) - fact_sheet = build_fact_sheet(shot_facts) - - # Prepare profile data (clean, no image) - clean_profile = _prepare_profile_for_llm(profile_data, profile_description) - - # Build the LLM prompt with FULL local analysis - taste_context = build_taste_context(taste_x, taste_y, parsed_descriptors) - has_taste = bool(taste_context) - - # Adjust section count and formatting rules based on taste data - section_count = "6" if has_taste else "5" - taste_section_template = "" - if has_taste: - taste_section_template = """ - -## 6. Taste-Based Recommendations - -**Taste-Extraction Correlation:** -- [How the reported taste aligns with extraction data] -- [Whether the data supports or contradicts the taste perception] - -**Recommended Adjustments:** -- [Specific changes to address the taste issues — grind, dose, temp, time] -- [Expected taste impact of each change] - -**Coffee Science:** -- [Brief explanation of why these adjustments should work] -""" - - prompt = f"""You are an expert espresso barista and profiling specialist analyzing a shot from a Meticulous Espresso Machine. - -## Expert Knowledge -{PROFILING_KNOWLEDGE} - -## Analysis Framework -{ANALYSIS_KNOWLEDGE} - -## Profile Being Used -Name: {clean_profile["name"]} -Temperature: {clean_profile.get("temperature", "Not set")}°C -Target Weight: {clean_profile.get("final_weight", "Not set")}g - -### Profile Description -{profile_description or "No description provided - analyze the profile structure to understand intent."} - -### Profile Variables -{json.dumps(clean_profile.get("variables", []), indent=2)} - -### Profile Stages -{json.dumps(clean_profile.get("stages", []), indent=2)} - -## Shot Facts (digested — authoritative; trust over raw telemetry) -Each stage lists its exit classification. A Targeted exit means the stage reached its intended -outcome (e.g. its weight target); a Failsafe exit means a backstop fired before the real target. -A Targeted exit — including a short stage that hit its weight target — is NORMAL and CORRECT -behavior; never describe it as "early termination". The final weight reflects the settled weight -after the machine's piston retraction completes, so do NOT penalize weight deviation unless it -exceeds ±5%. - -{fact_sheet} -{taste_context} - ---- - -{FEW_SHOT_ANALYSIS_EXAMPLE} - ---- - -Based on this data, provide a detailed expert analysis. - -CRITICAL FORMATTING RULES: -1. You MUST use EXACTLY these {section_count} section headers with the exact format shown (## followed by number, period, space, then title) -2. Each section MUST have the subsection headers shown (bold text with colon, like **What Happened:**) -3. ALL content under subsections MUST be bullet points starting with "- " -4. Keep bullet points concise (1-2 sentences max per bullet) -5. Do NOT add extra sections or subsections beyond what's specified - -## 1. Shot Performance - -**What Happened:** -- [Stage-by-stage description of the extraction] -- [Notable events: pressure spikes, flow restrictions, early/late stage exits] -- [Final weight accuracy relative to target] - -**Assessment:** [Choose exactly one: Good / Acceptable / Needs Improvement / Problematic] - -## 2. Root Cause Analysis - -**Primary Factors:** -- [Most likely cause with brief explanation] -- [Second most likely cause if applicable] - -**Secondary Considerations:** -- [Other contributing factors] -- [Environmental or equipment factors if relevant] - -## 3. Setup Recommendations - -**Priority Changes:** -- [Most important change - be specific with numbers when possible] -- [Second priority change] - -**Additional Suggestions:** -- [Other tweaks to consider] - -## 4. Profile Recommendations - -**Recommended Adjustments:** -- [Specific profile changes: timing, triggers, targets] -- [Variable value changes if applicable] - -**Reasoning:** -- [Why these changes would improve the shot] - -## 5. Profile Design Observations - -**Strengths:** -- [Well-designed aspects of this profile] - -**Potential Improvements:** -- [Exit trigger or safety limit suggestions] -- [Robustness improvements] - -Focus on actionable insights. Be specific with numbers where possible (e.g., "grind 1-2 steps finer" not just "grind finer"). -{taste_section_template} ---- - -INTERNAL INSTRUCTION — Structured Recommendations (do NOT include this heading in your response): - -After your analysis sections, you MUST output a structured JSON block with specific, actionable profile variable recommendations. -Use EXACTLY this format — the markers are parsed programmatically: - -RECOMMENDATIONS_JSON: -[ - {{ - "variable": "", - "current_value": , - "recommended_value": , - "stage": "", - "confidence": "", - "reason": "" - }} -] -END_RECOMMENDATIONS_JSON - -Rules for recommendations: -- Only include recommendations where you have a SPECIFIC numeric change to suggest -- The "variable" MUST be copied verbatim from the "key" field of an entry in the Profile Variables section above (for example "pressure_Max Pressure"). Do NOT invent positional names like "pressure_2" or "flow_0", and do NOT use the display name. -- Always include the variable's existing value as "current_value" so the change can be verified -- For top-level settings (temperature, final_weight), use stage="global" -- For stage-specific changes, use the stage name from Profile Stages -- For exit trigger changes, use these variable keys with the stage name: - - "exit_weight" — change the weight exit trigger value - - "exit_time" — change the time exit trigger value - - "exit_pressure" — change the pressure exit trigger value - - "exit_flow" — change the flow exit trigger value -- For stage limit changes, use these variable keys with the stage name: - - "limit_pressure" — change the pressure limit value - - "limit_flow" — change the flow limit value -- confidence: "high" = strong evidence from data, "medium" = likely beneficial, "low" = worth trying -- If no recommendations apply, output an empty array: RECOMMENDATIONS_JSON:\n[]\nEND_RECOMMENDATIONS_JSON -""" - - # Call LLM - try: - model = get_vision_model() - except ValueError as e: - raise HTTPException( - status_code=503, - detail={ - "status": "error", - "message": str(e), - "error": "AI features are unavailable until GEMINI_API_KEY is configured", - }, - ) from e - response = await model.async_generate_content(prompt) - - llm_analysis = response.text if response else "Analysis generation failed" - first_ok = ( - validate_against_facts(llm_analysis, shot_facts)["valid"] - and check_structure(llm_analysis)["valid"] - ) - if not first_ok: - retry = await model.async_generate_content(prompt) - retry_text = retry.text if retry else llm_analysis - if ( - validate_against_facts(retry_text, shot_facts)["valid"] - and check_structure(retry_text)["valid"] - ): - llm_analysis = retry_text - - # Save to cache - save_llm_analysis_to_cache( - profile_name, shot_date, cache_filename, llm_analysis - ) - - logger.info( - "LLM shot analysis completed and cached", - extra={ - "request_id": request_id, - "profile_name": profile_name, - "response_length": len(llm_analysis), - }, - ) - - return { - "status": "success", - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - "llm_analysis": llm_analysis, - "cached": False, - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"LLM shot analysis failed: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "profile_name": profile_name}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "LLM shot analysis failed", - }, - ) - - -# ============================================================================ -# Recent Shots (cross-profile) -# ============================================================================ - -# In-memory cache for recent shots -_recent_shots_cache: dict = {} -_RECENT_SHOTS_TTL = 30 # seconds -_RECENT_SHOTS_MAX_ENTRIES = 50 - - -def _cache_recent_shots(key: str, data: dict) -> None: - """Insert into the recent-shots cache with bounded size.""" - if len(_recent_shots_cache) > _RECENT_SHOTS_MAX_ENTRIES: - now = time.time() - expired = [ - k - for k, v in _recent_shots_cache.items() - if now - v["ts"] >= _RECENT_SHOTS_TTL - ] - for k in expired: - del _recent_shots_cache[k] - if len(_recent_shots_cache) > _RECENT_SHOTS_MAX_ENTRIES: - _recent_shots_cache.clear() - _recent_shots_cache[key] = {"data": data, "ts": time.time()} - - -@router.get("/shots/recent") -@router.get("/api/shots/recent") -async def get_recent_shots(request: Request, limit: int = 50, offset: int = 0): - """Return recent shots across ALL profiles, sorted chronologically (latest first). - - Query params: - limit: max items to return (default 50) - offset: pagination offset (default 0) - """ - request_id = request.state.request_id - cache_key = f"recent:{min(limit, 100)}:{min(offset, 10000)}" - now = time.time() - - # Check cache - cached = _recent_shots_cache.get(cache_key) - if cached and (now - cached["ts"]) < _RECENT_SHOTS_TTL: - return cached["data"] - - try: - from services.shot_annotations_service import get_annotation - - dates_result = await async_get_history_dates() - if hasattr(dates_result, "error") and dates_result.error: - raise HTTPException( - status_code=502, detail=f"Machine API error: {dates_result.error}" - ) - - dates = ( - sorted([d.name for d in dates_result], reverse=True) if dates_result else [] - ) - - all_shots: list[dict] = [] - sem = asyncio.Semaphore(6) - - async def _fetch_shot_info(date: str, filename: str): - async with sem: - try: - shot_data = await fetch_shot_data(date, filename) - except Exception: - return None - - profile_name = shot_data.get("profile_name", "") - if not profile_name and isinstance(shot_data.get("profile"), dict): - profile_name = shot_data["profile"].get("name", "") - - profile_id = "" - if isinstance(shot_data.get("profile"), dict): - profile_id = shot_data["profile"].get("id", "") - - data_entries = shot_data.get("data", []) - final_weight = None - total_time_ms = None - if data_entries: - last_entry = data_entries[-1] - if isinstance(last_entry.get("shot"), dict): - final_weight = last_entry["shot"].get("weight") - total_time_ms = last_entry.get("time") - - timestamp = shot_data.get("time") - annotation = get_annotation(date, filename) - - return { - "profile_name": profile_name, - "profile_id": profile_id, - "date": date, - "filename": filename, - "timestamp": timestamp, - "final_weight": final_weight, - "total_time": total_time_ms / 1000 if total_time_ms else None, - "has_annotation": annotation is not None, - } - - # We need enough shots for offset + limit; collect greedily - needed = offset + limit - - # ---- Try shot profile index for instant results ---- - indexed_dates = get_indexed_dates() - if set(dates).issubset(indexed_dates): - indexed_all = get_all_indexed_shots(limit=needed + 10, offset=0) - if indexed_all is not None: - # Enrich with annotation data - for shot in indexed_all: - annotation = get_annotation(shot["date"], shot["filename"]) - shot["has_annotation"] = annotation is not None - page = indexed_all[offset : offset + limit] - response_data = {"shots": page} - _cache_recent_shots(cache_key, response_data) - return response_data - - # ---- Parallel scan for un-indexed dates ---- - new_dates = [d for d in dates if d not in indexed_dates] - - sem_files = asyncio.Semaphore(20) - - async def _list_files_recent(date: str): - async with sem_files: - try: - result = await async_get_shot_files(date) - if hasattr(result, "error") and result.error: - return date, [] - return date, ( - sorted([f.name for f in result], reverse=True) - if result - else (date, []) - ) - except Exception: - return date, [] - - # Fetch file listings for new dates in parallel - file_results = await asyncio.gather( - *[_list_files_recent(d) for d in sorted(new_dates, reverse=True)], - return_exceptions=True, - ) - - shots_to_scan = [] - for result in file_results: - if isinstance(result, Exception): - continue - date, files = result - for fn in files: - shots_to_scan.append((date, fn)) - - # Fetch shot data in parallel - new_index_entries = {} - - async def _fetch_and_index_recent(date: str, filename: str): - async with sem: - try: - shot_data = await fetch_shot_data(date, filename) - except Exception: - return None - - p_name = shot_data.get("profile_name", "") - if not p_name and isinstance(shot_data.get("profile"), dict): - p_name = shot_data["profile"].get("name", "") - - p_id = "" - if isinstance(shot_data.get("profile"), dict): - p_id = shot_data["profile"].get("id", "") - - data_entries = shot_data.get("data", []) - final_weight = None - total_time_ms = None - if data_entries: - last_entry = data_entries[-1] - if isinstance(last_entry.get("shot"), dict): - final_weight = last_entry["shot"].get("weight") - total_time_ms = last_entry.get("time") - - timestamp = shot_data.get("time") - key = f"{date}/{filename}" - new_index_entries[key] = { - "name": p_name, - "profile_id": p_id, - "weight": final_weight, - "time_ms": total_time_ms, - "timestamp": timestamp, - } - - annotation = get_annotation(date, filename) - return { - "profile_name": p_name, - "profile_id": p_id, - "date": date, - "filename": filename, - "timestamp": timestamp, - "final_weight": final_weight, - "total_time": total_time_ms / 1000 if total_time_ms else None, - "has_annotation": annotation is not None, - } - - scan_results = await asyncio.gather( - *[_fetch_and_index_recent(d, fn) for d, fn in shots_to_scan], - return_exceptions=True, - ) - - # Persist index - if new_index_entries: - update_shot_index(new_index_entries, new_dates) - - # Combine new scans with indexed data - new_shots = [ - r for r in scan_results if r is not None and not isinstance(r, Exception) - ] - # Also include already-indexed shots - idx_shots = get_all_indexed_shots(limit=needed + 10, offset=0) or [] - for shot in idx_shots: - annotation = get_annotation(shot["date"], shot["filename"]) - shot["has_annotation"] = annotation is not None - - all_shots = new_shots + [s for s in idx_shots if s["date"] in indexed_dates] - - # Sort by timestamp descending (handle None timestamps) - all_shots.sort( - key=lambda s: _safe_float(s["timestamp"]), - reverse=True, - ) - - page = all_shots[offset : offset + limit] - - response_data = {"shots": page} - _cache_recent_shots(cache_key, response_data) - return response_data - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to fetch recent shots: {e}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException(status_code=500, detail=str(e)) - - -@router.get("/shots/recent/by-profile") -@router.get("/api/shots/recent/by-profile") -async def get_recent_shots_by_profile( - request: Request, limit: int = 50, offset: int = 0 -): - """Same data as /shots/recent but grouped by profile. - - Response: { profiles: [{ profile_name, profile_id, shots: [...], shot_count }] } - """ - request_id = request.state.request_id - cache_key = f"recent_by_profile:{min(limit, 100)}:{min(offset, 10000)}" - now = time.time() - - cached = _recent_shots_cache.get(cache_key) - if cached and (now - cached["ts"]) < _RECENT_SHOTS_TTL: - return cached["data"] - - try: - # Reuse the flat recent-shots logic - flat_response = await get_recent_shots(request, limit=limit + offset, offset=0) - flat_shots = flat_response["shots"][offset : offset + limit] - - # Group by profile_name - grouped: dict[str, dict] = {} - for shot in flat_shots: - pname = shot.get("profile_name") or "Unknown" - if pname not in grouped: - grouped[pname] = { - "profile_name": pname, - "profile_id": shot.get("profile_id", ""), - "shots": [], - "shot_count": 0, - } - grouped[pname]["shots"].append(shot) - grouped[pname]["shot_count"] += 1 - - profiles = sorted(grouped.values(), key=lambda g: g["shot_count"], reverse=True) - - response_data = {"profiles": profiles} - _cache_recent_shots(cache_key, response_data) - return response_data - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to fetch recent shots by profile: {e}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException(status_code=500, detail=str(e)) - - -# ============================================================================ -# Shot Annotations -# ============================================================================ - - -@router.get("/api/shots/{date}/{filename}/annotation") -async def get_shot_annotation(date: str, filename: str, request: Request): - """Get the user annotation for a specific shot. - - Args: - date: Shot date (e.g., "2024-01-15") - filename: Shot filename (e.g., "shot_001.json") - - Returns: - Annotation text, rating, and updated_at if exists, null otherwise. - """ - from services.shot_annotations_service import get_annotation - - entry = get_annotation(date, filename) - return { - "status": "success", - "annotation": entry.get("annotation") if entry else None, - "rating": entry.get("rating") if entry else None, - "updated_at": entry.get("updated_at") if entry else None, - } - - -@router.patch("/api/shots/{date}/{filename}/annotation") -async def update_shot_annotation(date: str, filename: str, request: Request): - """Update the user annotation for a specific shot. - - Args: - date: Shot date (e.g., "2024-01-15") - filename: Shot filename (e.g., "shot_001.json") - - Body: - annotation: Markdown text for the annotation (empty to clear) - rating: Star rating 1-5 (null to leave unchanged, explicit null/0 to clear) - - Returns: - Updated annotation entry. - """ - from services.shot_annotations_service import set_annotation, set_rating - - request_id = request.state.request_id - - try: - try: - body = await request.json() - except (json.JSONDecodeError, ValueError): - raise HTTPException( - status_code=400, - detail={"status": "error", "error": "Invalid JSON body"}, - ) - - # If only rating is provided (no annotation key), update just the rating - if "rating" in body and "annotation" not in body: - result = set_rating(date, filename, body.get("rating")) - else: - annotation_text = body.get("annotation", "") - rating = body.get("rating") - result = set_annotation(date, filename, annotation_text, rating) - - return { - "status": "success", - "annotation": result.get("annotation"), - "rating": result.get("rating"), - "updated_at": result.get("updated_at"), - } - except ValueError as e: - raise HTTPException( - status_code=422, detail={"status": "error", "error": str(e)} - ) - except Exception as e: - logger.error( - f"Failed to update shot annotation: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.delete("/api/shots/{date}/{filename}/annotation") -async def delete_shot_annotation(date: str, filename: str, request: Request): - """Delete the annotation for a specific shot. - - Args: - date: Shot date (e.g., "2024-01-15") - filename: Shot filename (e.g., "shot_001.json") - - Returns: - Success status. - """ - from services.shot_annotations_service import delete_annotation - - request_id = request.state.request_id - - try: - deleted = delete_annotation(date, filename) - return { - "status": "success", - "deleted": deleted, - } - except Exception as e: - logger.error( - f"Failed to delete shot annotation: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.get("/api/shots/annotations") -async def get_all_shot_annotations(request: Request): - """Get all shot annotations (for shot list indicators). - - Returns: - Dict mapping shot keys to annotation summaries. - """ - from services.shot_annotations_service import get_all_annotations - - annotations = get_all_annotations() - # Return lightweight summaries for the shot list - summaries = {} - for key, entry in annotations.items(): - if isinstance(entry, dict): - summaries[key] = { - "has_annotation": bool(entry.get("annotation")), - "rating": entry.get("rating"), - } - return { - "status": "success", - "annotations": summaries, - } - - -# ============================================================================ -# Recommendation Extraction -# ============================================================================ - - -def _locate_recommendations_json(analysis_text: str) -> str | None: - """Locate the recommendations JSON array text (delimited or bare). - - Weak models (small on-device / non-Gemini LLMs) frequently omit the - RECOMMENDATIONS_JSON / END_RECOMMENDATIONS_JSON delimiters and emit a bare - array, sometimes embedded in prose. Prefer the delimited block; otherwise - fall back to bracket-matching a bare array that contains a - recommendation-shaped object. - """ - match = re.search( - r"RECOMMENDATIONS_JSON:\s*\n\s*(\[.*?\])\s*\n?\s*END_RECOMMENDATIONS_JSON", - analysis_text, - re.DOTALL, - ) - if match: - return match.group(1) - - key = re.search(r'"(?:variable|recommended_value)"\s*:', analysis_text) - if not key: - return None - open_idx = analysis_text.rfind("[", 0, key.start()) - if open_idx == -1: - return None - - depth = 0 - in_str = False - esc = False - for i in range(open_idx, len(analysis_text)): - ch = analysis_text[i] - if in_str: - if esc: - esc = False - elif ch == "\\": - esc = True - elif ch == '"': - in_str = False - continue - if ch == '"': - in_str = True - elif ch == "[": - depth += 1 - elif ch == "]": - depth -= 1 - if depth == 0: - return analysis_text[open_idx : i + 1] - return None - - -def _is_actionable_recommendation(rec: dict) -> bool: - """Drop hallucinated / non-actionable recommendations. - - Weak on-device models sometimes emit garbage variable ids (e.g. "flow_0") - with NaN values that render as "adjust from NaN to NaN". A recommendation is - only usable if it names a variable and its numeric values (when present) are - finite. Missing values are treated as 0 (kept, for advisory recommendations). - """ - if not str(rec.get("variable", "")).strip(): - return False - for key in ("current_value", "recommended_value"): - raw = rec.get(key) - if raw is None: - continue - try: - if not math.isfinite(float(raw)): - return False - except (TypeError, ValueError): - return False - return True - - -def _parse_recommendations_json(analysis_text: str) -> list[dict]: - """Extract and parse the recommendations JSON (delimited or bare).""" - json_text = _locate_recommendations_json(analysis_text) - if not json_text: - return [] - # Tolerate trailing commas that weak models emit. - cleaned = re.sub(r",(\s*[\]}])", r"\1", json_text) - try: - recs = json.loads(cleaned) - if not isinstance(recs, list): - return [] - return [ - r for r in recs if isinstance(r, dict) and _is_actionable_recommendation(r) - ] - except (json.JSONDecodeError, TypeError): - return [] - - -def _classify_recommendation_patchable( - rec: dict, profile_variables: list[dict] -) -> bool: - """Determine if a recommendation targets a patchable (adjustable) variable. - - A variable is patchable when: - - Its key does NOT start with 'info_' - - It is not marked adjustable=false - - OR the recommendation targets a global setting (temperature, final_weight) - - OR it targets a stage exit trigger (exit_weight, exit_time, etc.) - - OR it targets a stage limit (limit_pressure, limit_flow, etc.) - - OR the variable is not found in the profile (LLM may use descriptive names) - """ - variable = rec.get("variable", "") - stage = rec.get("stage", "") - - # Global top-level settings are always patchable - if stage == "global" and variable in ("temperature", "final_weight"): - return True - - # Stage exit triggers and limits are patchable - stage_variables = { - "exit_weight", - "exit_time", - "exit_pressure", - "exit_flow", - "exit_volume", - "limit_pressure", - "limit_flow", - "limit_weight", - } - if variable in stage_variables and stage and stage != "global": - return True - - # Check against profile variables - for var in profile_variables: - var_key = var.get("key", "") - if var_key == variable: - if var_key.startswith("info_"): - return False - if var.get("adjustable") is False: - return False - return True - - # Variable not found by exact key — try fuzzy match (LLM may use descriptive names) - variable_lower = variable.lower().replace("_", " ").replace("-", " ") - for var in profile_variables: - var_key = var.get("key", "").lower().replace("_", " ").replace("-", " ") - var_name = var.get("name", "").lower() - if ( - variable_lower in var_key - or var_key in variable_lower - or variable_lower in var_name - ): - if var.get("key", "").startswith("info_"): - return False - if var.get("adjustable") is False: - return False - return True - - # Variable not found in profile at all — consider patchable - # The LLM may use descriptive names for stage-level settings - return True - - -@router.post("/shots/analyze-recommendations") -@router.post("/api/shots/analyze-recommendations") -async def analyze_recommendations( - request: Request, - profile_name: str = Form(...), - shot_filename: str = Form(...), - force_refresh: bool = Form(default=False), -): - """Extract structured recommendations from an existing analysis. - - Returns the RECOMMENDATIONS_JSON block parsed as a list of dicts, - each annotated with ``is_patchable``. - """ - request_id = request.state.request_id - - try: - logger.info( - "Extracting recommendations from analysis", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - - # Try to find existing cached analysis for any date - # We search the cache by profile + filename - from services.cache_service import get_cached_llm_analysis - - # Derive shot_date from filename (format: YYYY-MM-DDTHH:MM:SS.json typically) - shot_date_match = re.match(r"(\d{4}-\d{2}-\d{2})", shot_filename) - shot_date = shot_date_match.group(1) if shot_date_match else "" - - cached_analysis = get_cached_llm_analysis( - profile_name, shot_date, shot_filename - ) - - if not cached_analysis: - raise HTTPException( - status_code=404, - detail={ - "status": "no_analysis", - "message": "No cached analysis found. Run a full analysis first.", - }, - ) - - if force_refresh: - # Re-parse the cached text to get fresh structured data - logger.info( - "Force refresh requested, re-parsing cached analysis", - extra={"request_id": request_id}, - ) - - # Parse recommendations from analysis text - recs = _parse_recommendations_json(cached_analysis) - - # Fetch profile to classify patchability - profile_variables: list[dict] = [] - try: - profiles_result = await async_list_profiles() - for p in profiles_result: - if p.name.lower() == profile_name.lower(): - full_profile = await async_get_profile(p.id) - if hasattr(full_profile, "variables") and full_profile.variables: - for var in full_profile.variables: - profile_variables.append( - { - "key": getattr(var, "key", ""), - "name": getattr(var, "name", ""), - "type": getattr(var, "type", ""), - "value": getattr(var, "value", 0), - "adjustable": getattr(var, "adjustable", None), - } - ) - break - except Exception: - logger.warning( - "Could not fetch profile for patchability check", exc_info=True - ) - - # Annotate each recommendation - for rec in recs: - rec["is_patchable"] = _classify_recommendation_patchable( - rec, profile_variables - ) - - return { - "status": "success", - "profile_name": profile_name, - "recommendations": recs, - "total": len(recs), - "patchable_count": sum(1 for r in recs if r.get("is_patchable")), - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to extract recommendations: {e}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, - detail={"status": "error", "error": str(e)}, - ) diff --git a/apps/server/api/routes/system.py b/apps/server/api/routes/system.py deleted file mode 100644 index b5c91090..00000000 --- a/apps/server/api/routes/system.py +++ /dev/null @@ -1,1875 +0,0 @@ -"""System management endpoints.""" - -from fastapi import APIRouter, Request, HTTPException -from typing import Optional -from pathlib import Path -from datetime import datetime, timezone, timedelta -import json -import asyncio -import socket -import subprocess -import logging -import os -import re -import tempfile - -from services.settings_service import load_settings, save_settings - -router = APIRouter() -logger = logging.getLogger(__name__) - - -@router.get("/api/available-models") -async def get_available_models_endpoint(): - """Return list of available Gemini models.""" - from services.gemini_service import get_available_models, get_model_name - - models = await get_available_models() - current = get_model_name() - return {"models": models, "current": current} - - -@router.get("/api/health") -async def health_check(): - """Health check endpoint for Docker and load balancer probes.""" - return {"status": "ok"} - - -# Data directory configuration -TEST_MODE = os.environ.get("TEST_MODE") == "true" -if TEST_MODE: - DATA_DIR = Path(tempfile.gettempdir()) / "meticai_test_data" - DATA_DIR.mkdir(parents=True, exist_ok=True) -else: - DATA_DIR = Path(os.environ.get("DATA_DIR", "/app/data")) - -# Regex pattern for extracting version from pyproject.toml or setup.py -VERSION_PATTERN = re.compile(r'^\s*version\s*=\s*["\']([^"\']+)["\']', re.MULTILINE) - -# Changelog cache -_changelog_cache: Optional[dict] = None -_changelog_cache_time: Optional[datetime] = None -CHANGELOG_CACHE_DURATION = timedelta(hours=1) # Cache for 1 hour - - -# Cached update status (avoid hammering the GitHub API) -_update_cache: Optional[dict] = None -_update_cache_time: Optional[datetime] = None -UPDATE_CACHE_DURATION = timedelta(minutes=15) - -GITHUB_RELEASES_URL = "https://api.github.com/repos/hessius/MeticAI/releases/latest" -GITHUB_ALL_RELEASES_URL = "https://api.github.com/repos/hessius/MeticAI/releases" -WATCHTOWER_API_ENDPOINTS = ( - "http://watchtower:8080/v1/update", - "http://meticai-watchtower:8080/v1/update", - "http://localhost:18088/v1/update", - "http://localhost:8088/v1/update", -) - -WATCHTOWER_REACHABLE_STATUS_CODES = {200, 204, 401, 403, 404, 405} -WATCHTOWER_TRIGGERABLE_STATUS_CODES = {200, 204} - - -async def _probe_watchtower_api(method: str = "get") -> dict: - """Probe known Watchtower API endpoints. - - Sends an Authorization header when the ``WATCHTOWER_TOKEN`` env-var is - set so that the probe (and trigger) succeeds on token-protected instances. - - Returns: - { - "reachable": bool, - "can_trigger": bool, - "endpoint": str | None, - "status_code": int | None, - "error": str | None, - } - """ - import httpx - - token = os.environ.get("WATCHTOWER_TOKEN", "").strip() - headers: dict[str, str] = {} - if token: - headers["Authorization"] = f"Bearer {token}" - - errors: list[str] = [] - - async def _probe_one(client: httpx.AsyncClient, endpoint: str) -> dict: - timeout = 3.0 if method == "post" else 2.0 - try: - if method == "post": - response = await client.post(endpoint, timeout=timeout, headers=headers) - else: - response = await client.get(endpoint, timeout=timeout, headers=headers) - - status_code = response.status_code - return { - "endpoint": endpoint, - "status_code": status_code, - "reachable": status_code in WATCHTOWER_REACHABLE_STATUS_CODES, - "can_trigger": status_code in WATCHTOWER_TRIGGERABLE_STATUS_CODES, - "error": None, - } - except Exception as exc: - return { - "endpoint": endpoint, - "status_code": None, - "reachable": False, - "can_trigger": False, - "error": f"{endpoint}: {exc}", - } - - async with httpx.AsyncClient() as client: - tasks = [ - asyncio.create_task(_probe_one(client, endpoint)) - for endpoint in WATCHTOWER_API_ENDPOINTS - ] - try: - for completed in asyncio.as_completed(tasks): - result = await completed - if result["reachable"]: - for task in tasks: - if not task.done(): - task.cancel() - return { - "reachable": True, - "can_trigger": result["can_trigger"], - "endpoint": result["endpoint"], - "status_code": result["status_code"], - "error": None, - } - if result["error"]: - errors.append(result["error"]) - finally: - for task in tasks: - if not task.done(): - task.cancel() - await asyncio.gather(*tasks, return_exceptions=True) - - return { - "reachable": False, - "can_trigger": False, - "endpoint": None, - "status_code": None, - "error": "; ".join(errors) if errors else "Watchtower API not reachable", - } - - -def _get_running_version() -> str: - """Read the version baked into the container image.""" - version_file = Path(__file__).parent.parent.parent / "VERSION" - if version_file.exists(): - return version_file.read_text().strip() - return "unknown" - - -def _version_tuple(v: str): - """Parse a semver string like '2.0.0' into a tuple for comparison.""" - v = v.lstrip("v") - parts = v.split("-")[0].split(".") # strip pre-release suffixes - try: - return tuple(int(p) for p in parts) - except (ValueError, TypeError): - return (0, 0, 0) - - -def _is_prerelease_version(v: str) -> bool: - """Check if a version string has a pre-release tag (beta, alpha, rc).""" - v = v.lstrip("v") - return any(tag in v.lower() for tag in ["-beta", "-alpha", "-rc"]) - - -async def _fetch_latest_release() -> dict: - """Query GitHub Releases API for the latest published version. - - Fetches all recent releases to determine the latest stable and beta - versions separately, enabling cross-channel notifications. - """ - global _update_cache, _update_cache_time - - now = datetime.now(timezone.utc) - if ( - _update_cache is not None - and _update_cache_time is not None - and (now - _update_cache_time) < UPDATE_CACHE_DURATION - ): - return _update_cache - - try: - import httpx - - async with httpx.AsyncClient() as client: - resp = await client.get( - GITHUB_ALL_RELEASES_URL, - params={"per_page": 30}, - headers={"Accept": "application/vnd.github+json"}, - timeout=10.0, - ) - if resp.status_code == 200: - releases = resp.json() - running_version = _get_running_version() - - # Find the latest stable and beta releases - latest_stable_version = None - latest_beta_version = None - latest_release_url = None - - for release in releases: - tag = release.get("tag_name", "").lstrip("v") - if not tag: - continue - is_pre = release.get("prerelease", False) or _is_prerelease_version( - tag - ) - if is_pre: - if latest_beta_version is None: - latest_beta_version = tag - else: - if latest_stable_version is None: - latest_stable_version = tag - latest_release_url = release.get("html_url") - if latest_stable_version and latest_beta_version: - break - - # Primary update_available uses the latest stable release - # (matches the previous /releases/latest behaviour) - latest_version = latest_stable_version or "" - update_available = ( - latest_version != "" - and running_version != "unknown" - and _version_tuple(latest_version) > _version_tuple(running_version) - ) - - result = { - "update_available": update_available, - "latest_version": latest_version, - "current_version": running_version, - "last_check": now.isoformat(), - "release_url": latest_release_url, - "latest_stable_version": latest_stable_version, - "latest_beta_version": latest_beta_version, - } - _update_cache = result - _update_cache_time = now - return result - except Exception as e: - logger.debug(f"Failed to query GitHub releases: {e}") - - # Return stale cache if available, otherwise a safe fallback - if _update_cache is not None: - return _update_cache - return { - "update_available": False, - "current_version": _get_running_version(), - "latest_version": None, - "last_check": None, - "latest_stable_version": None, - "latest_beta_version": None, - "error": "Could not reach GitHub API", - } - - -@router.post("/api/check-updates") -async def check_updates(request: Request): - """Trigger a fresh update check against the GitHub Releases API. - - Queries the latest published release on GitHub and compares it to - the version baked into the running container image. - - Returns: - - update_available: Whether a newer version exists - - current_version: Version running in this container - - latest_version: Latest version on GitHub - - last_check: Timestamp of this check - - fresh_check: Always True for this endpoint - """ - request_id = request.state.request_id - - try: - global _update_cache, _update_cache_time - # Bust the cache so we get a fresh result - _update_cache = None - _update_cache_time = None - - logger.info( - "Checking for updates via GitHub Releases API", - extra={"request_id": request_id, "endpoint": "/api/check-updates"}, - ) - - result = await _fetch_latest_release() - result["fresh_check"] = True - return result - - except Exception as e: - logger.error( - f"Failed to check for updates: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - return { - "update_available": False, - "error": str(e), - "message": "Failed to check for updates", - } - - -@router.get("/api/status") -async def get_status(request: Request): - """Get system status including update availability. - - Returns cached update information (refreshed every 15 minutes) comparing - the running container version to the latest GitHub release. - - Returns: - - update_available: Whether a newer version exists - - current_version: Version running in this container - - latest_version: Latest version on GitHub (if known) - - last_check: Timestamp of last update check - """ - request_id = request.state.request_id - - try: - logger.debug("Checking system status", extra={"request_id": request_id}) - return await _fetch_latest_release() - - except Exception as e: - logger.error( - f"Failed to read system status: {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "endpoint": "/status", - "error_type": type(e).__name__, - }, - ) - return { - "update_available": False, - "error": str(e), - "message": "Could not read update status", - } - - -@router.get("/api/update-method") -async def get_update_method(request: Request): - """Detect how MeticAI updates are managed. - - Checks whether Watchtower is running (automatic Docker image updates) - or whether updates must be applied manually. - - Returns: - - method: "watchtower" | "manual" - - watchtower_running: bool - - can_trigger_update: bool - - watchtower_endpoint: str | None — the reachable Watchtower API endpoint URL, or None - - watchtower_error: str | None — error message if the probe failed or container reported an error - """ - request_id = request.state.request_id - - try: - probe = await _probe_watchtower_api(method="get") - watchtower_running = probe["reachable"] - can_trigger_update = probe["can_trigger"] - watchtower_error = probe["error"] - - if not watchtower_running: - try: - result = subprocess.run( - [ - "docker", - "inspect", - "--format", - "{{.State.Status}}|{{.State.Error}}", - "meticai-watchtower", - ], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - state_parts = result.stdout.strip().split("|", 1) - state_status = state_parts[0].strip() if state_parts else "" - state_error = state_parts[1].strip() if len(state_parts) > 1 else "" - watchtower_running = state_status == "running" - if state_error: - watchtower_error = state_error - except Exception: - pass - - method = "watchtower" if watchtower_running else "manual" - - return { - "method": method, - "watchtower_running": watchtower_running, - "can_trigger_update": can_trigger_update, - "watchtower_endpoint": probe["endpoint"], - "watchtower_error": watchtower_error, - } - except Exception as e: - logger.error( - f"Failed to detect update method: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - return { - "method": "manual", - "watchtower_running": False, - "can_trigger_update": False, - } - - -@router.get("/api/tailscale-status") -async def get_tailscale_status(request: Request): - """Get Tailscale connection status and configuration. - - Checks if Tailscale is running and provides status information. - Also returns the user's Tailscale configuration preferences from settings. - Works both when Tailscale runs as a sidecar container and when - it runs natively on the host. - - Returns: - - enabled: Whether user has enabled Tailscale in settings - - auth_key_configured: Whether an auth key is saved - - installed: Whether Tailscale is available/running - - connected: Whether Tailscale is connected - - hostname: Tailscale hostname if connected - - ip: Tailscale IP if connected - - auth_key_expired: Whether the auth key has expired - - login_url: URL to re-authenticate if needed - """ - request_id = request.state.request_id - - try: - # Load user config from settings - from services.settings_service import load_settings - - stored_settings = load_settings() - settings = dict(stored_settings) - ts_enabled = settings.get("tailscaleEnabled", False) - ts_auth_key = settings.get("tailscaleAuthKey", "") - # Also check env var fallback - if not ts_auth_key: - ts_auth_key = os.environ.get("TAILSCALE_AUTHKEY", "") - - status = { - "enabled": ts_enabled, - "auth_key_configured": bool(ts_auth_key), - "installed": False, - "connected": False, - "hostname": None, - "dns_name": None, - "ip": None, - "external_url": None, - "auth_key_expired": False, - "login_url": None, - } - - def _parse_ts_status(ts_data: dict) -> None: - """Fill status dict from tailscale status JSON.""" - status["installed"] = True - backend_state = ts_data.get("BackendState", "") - status["connected"] = backend_state == "Running" - self_info = ts_data.get("Self", {}) - status["hostname"] = self_info.get("HostName") - dns_name = self_info.get("DNSName", "") - if dns_name: - status["dns_name"] = dns_name.rstrip(".") - status["external_url"] = f"https://{status['dns_name']}" - ts_ips = self_info.get("TailscaleIPs", []) - if ts_ips: - status["ip"] = ts_ips[0] - if backend_state == "NeedsLogin": - status["auth_key_expired"] = True - status["connected"] = False - status["login_url"] = "https://login.tailscale.com/admin/settings/keys" - - # Strategy 1: native tailscale binary (host install) - try: - result = subprocess.run( - ["tailscale", "status", "--json"], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - _parse_ts_status(json.loads(result.stdout)) - elif result.returncode == 1 and "not running" in result.stderr.lower(): - status["installed"] = True - status["connected"] = False - except FileNotFoundError: - pass - except Exception as e: - logger.debug( - f"Tailscale status check failed: {e}", extra={"request_id": request_id} - ) - - # Strategy 2: shared Tailscale socket (sidecar with volume mount) - if not status["installed"]: - ts_socket = "/var/run/tailscale/tailscaled.sock" - if os.path.exists(ts_socket): - try: - result = subprocess.run( - [ - "curl", - "-sf", - "--unix-socket", - ts_socket, - "http://local-tailscaled.sock/localapi/v0/status", - ], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - _parse_ts_status(json.loads(result.stdout)) - except Exception as e: - logger.debug( - f"Tailscale socket check failed: {e}", - extra={"request_id": request_id}, - ) - - # Strategy 3: docker exec on sidecar container - if not status["installed"]: - try: - result = subprocess.run( - [ - "docker", - "exec", - "meticai-tailscale", - "tailscale", - "status", - "--json", - ], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - _parse_ts_status(json.loads(result.stdout)) - except Exception: - pass - - return status - - except Exception as e: - logger.error( - f"Failed to check Tailscale status: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - return { - "enabled": False, - "auth_key_configured": False, - "installed": False, - "connected": False, - "hostname": None, - "dns_name": None, - "ip": None, - "external_url": None, - "auth_key_expired": False, - "login_url": None, - "error": str(e), - } - - -@router.post("/api/tailscale/configure") -async def configure_tailscale(request: Request): - """Configure Tailscale remote access settings. - - Saves Tailscale preferences (enabled state and auth key) to settings. - When enabled/disabled or auth key is changed, updates the .env file - and COMPOSE_FILES variable, then signals a restart so the host - picks up the new compose configuration. - - Body: - - enabled: bool — Whether Tailscale should be active - - authKey: str (optional) — Tailscale auth key - """ - request_id = request.state.request_id - - try: - body = await request.json() - - from services.settings_service import load_settings, save_settings - - current_settings = load_settings() - - changed = False - compose_changed = False - - # Handle enabled toggle - if "enabled" in body: - new_enabled = bool(body["enabled"]) - old_enabled = current_settings.get("tailscaleEnabled", False) - current_settings["tailscaleEnabled"] = new_enabled - changed = True - if new_enabled != old_enabled: - compose_changed = True - - # Handle auth key update - if "authKey" in body: - new_key = body["authKey"].strip() if body["authKey"] else "" - # Don't save masked values - if new_key and "*" not in new_key and "..." not in new_key: - current_settings["tailscaleAuthKey"] = new_key - changed = True - elif not new_key: - current_settings["tailscaleAuthKey"] = "" - changed = True - - if not changed: - return {"status": "success", "message": "No changes to apply"} - - # Save to settings.json (persisted on /data volume) - save_settings(current_settings) - - # Update .env file for compose-level changes - env_path = Path("/app/.env") - env_content = "" - if env_path.exists(): - env_content = env_path.read_text() - - env_updated = False - ts_enabled = current_settings.get("tailscaleEnabled", False) - ts_auth_key = current_settings.get("tailscaleAuthKey", "") - - # Update TAILSCALE_AUTHKEY in .env - if ts_auth_key: - if "TAILSCALE_AUTHKEY=" in env_content: - env_content = re.sub( - r"TAILSCALE_AUTHKEY=.*", - f"TAILSCALE_AUTHKEY={ts_auth_key}", - env_content, - ) - else: - env_content += f"\nTAILSCALE_AUTHKEY={ts_auth_key}" - env_updated = True - - # Update COMPOSE_FILES to add/remove tailscale overlay - if compose_changed: - compose_match = re.search(r'COMPOSE_FILES="([^"]*)"', env_content) - if compose_match: - current_compose = compose_match.group(1) - else: - current_compose = "-f docker-compose.yml" - - ts_flag = "-f docker-compose.tailscale.yml" - - if ts_enabled and ts_flag not in current_compose: - current_compose = f"{current_compose} {ts_flag}" - elif not ts_enabled and ts_flag in current_compose: - current_compose = current_compose.replace(f" {ts_flag}", "").replace( - ts_flag, "" - ) - current_compose = current_compose.strip() - - if "COMPOSE_FILES=" in env_content: - env_content = re.sub( - r'COMPOSE_FILES="[^"]*"', - f'COMPOSE_FILES="{current_compose}"', - env_content, - ) - else: - env_content += f'\nCOMPOSE_FILES="{current_compose}"' - env_updated = True - - if env_updated: - try: - env_path.write_text(env_content) - logger.info( - "Updated .env with Tailscale config", - extra={"request_id": request_id}, - ) - except (PermissionError, FileNotFoundError, OSError) as e: - logger.warning( - f".env file not writable ({type(e).__name__}), " - "Tailscale config saved to settings.json only", - extra={"request_id": request_id}, - ) - - # Signal restart if compose config changed (needs container recreation) - restart_signaled = False - if compose_changed: - try: - import signal as sig - - async def _deferred_restart(): - """Wait briefly then kill PID 1 for restart.""" - await asyncio.sleep(2.0) - try: - os.kill(1, sig.SIGTERM) - except ProcessLookupError: - pass - - asyncio.get_running_loop().create_task(_deferred_restart()) - restart_signaled = True - logger.info( - "Scheduled container restart for Tailscale config change", - extra={"request_id": request_id}, - ) - except Exception as e: - logger.warning( - f"Could not schedule restart: {e}", extra={"request_id": request_id} - ) - - action = "enabled" if ts_enabled else "disabled" - logger.info( - f"Tailscale configuration updated: {action}", - extra={ - "request_id": request_id, - "tailscale_enabled": ts_enabled, - "auth_key_configured": bool(ts_auth_key), - "compose_changed": compose_changed, - "restart_signaled": restart_signaled, - }, - ) - - return { - "status": "success", - "message": f"Tailscale {action}", - "enabled": ts_enabled, - "auth_key_configured": bool(ts_auth_key), - "restart_required": compose_changed, - "restart_signaled": restart_signaled, - } - - except Exception as e: - logger.error( - f"Failed to configure Tailscale: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to configure Tailscale", - }, - ) - - -@router.post("/api/trigger-update") -async def trigger_update(request: Request): - """Trigger an immediate update check via Watchtower. - - Calls Watchtower's HTTP API to request an immediate image-update check. - If Watchtower is not running, returns an error indicating manual update - is required. - - Returns: - - status: "success" or "error" - - message: Description of what happened - """ - request_id = request.state.request_id - - try: - logger.info( - "Triggering update via Watchtower HTTP API", - extra={"request_id": request_id, "endpoint": "/api/trigger-update"}, - ) - - probe = await _probe_watchtower_api(method="post") - - if probe["can_trigger"]: - logger.info( - "Update triggered via Watchtower", - extra={ - "request_id": request_id, - "endpoint": probe["endpoint"], - "status_code": probe["status_code"], - }, - ) - return { - "status": "success", - "message": "Update triggered. Watchtower will pull the latest image and restart the container.", - } - - if probe["reachable"]: - raise HTTPException( - status_code=503, - detail={ - "status": "error", - "error": f"Watchtower endpoint reachable but update not authorized (HTTP {probe['status_code']})", - "message": "Automatic updates are available, but this Watchtower endpoint rejected the trigger request.", - }, - ) - - # No Watchtower — manual update required - raise HTTPException( - status_code=503, - detail={ - "status": "error", - "error": "Watchtower not available", - "message": "Automatic updates require Watchtower. Update manually with: docker compose pull && docker compose up -d", - }, - ) - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to trigger update: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to trigger update", - }, - ) - - -@router.post("/api/restart") -async def restart_system(request: Request): - """Restart the MeticAI container. - - Sends SIGTERM to PID 1 (s6-overlay init) after a short delay to allow - the HTTP response to be sent. Docker's ``restart: unless-stopped`` policy - will automatically bring the container back up. - - Returns: - - status: "success" or "error" - - message: Description of what happened - """ - request_id = request.state.request_id - - try: - import signal - - logger.info( - "Triggering container restart via SIGTERM to PID 1", - extra={"request_id": request_id, "endpoint": "/api/restart"}, - ) - - async def _kill_pid1(): - """Wait briefly for the HTTP response to flush, then kill PID 1.""" - await asyncio.sleep(1.5) - logger.info("Sending SIGTERM to PID 1 (s6-overlay) for restart") - try: - os.kill(1, signal.SIGTERM) - except ProcessLookupError: - # In test/dev environments PID 1 may not be s6 - logger.warning("PID 1 not found — not running inside container?") - - # Schedule the kill in the background so the response can be sent first - asyncio.get_running_loop().create_task(_kill_pid1()) - - return { - "status": "success", - "message": "Restart triggered. The system will restart momentarily.", - } - except Exception as e: - logger.error( - f"Failed to trigger restart: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to trigger restart", - }, - ) - - -@router.get("/api/logs") -async def get_logs( - request: Request, - lines: int = 100, - level: Optional[str] = None, - log_type: str = "all", -): - """Retrieve recent log entries for debugging and diagnostics. - - Args: - lines: Number of lines to retrieve (default: 100, max: 1000) - level: Filter by log level (DEBUG, INFO, WARNING, ERROR, CRITICAL) - log_type: Type of logs to retrieve - "all" or "errors" (default: "all") - - Returns: - - logs: List of log entries (most recent first) - - total_lines: Total number of log lines returned - - log_file: Path to the log file - """ - request_id = request.state.request_id - - try: - logger.info( - "Log retrieval requested", - extra={ - "request_id": request_id, - "lines": lines, - "level": level, - "log_type": log_type, - }, - ) - - # Limit lines to prevent overwhelming responses - lines = min(lines, 1000) - - # Determine which log file to read - log_dir = Path("/app/logs") - if log_type == "errors": - log_file = log_dir / "meticai-server-errors.log" - else: - log_file = log_dir / "meticai-server.log" - - if not log_file.exists(): - logger.warning( - f"Log file not found: {log_file}", - extra={"request_id": request_id, "log_file": str(log_file)}, - ) - return { - "logs": [], - "total_lines": 0, - "log_file": str(log_file), - "message": "Log file not found - logging may not be initialized yet", - } - - # Read log file (last N lines) — use deque for memory-efficient tail - from collections import deque - - with open(log_file, "r", encoding="utf-8") as f: - recent_lines = deque(f, maxlen=lines) - - # Parse JSON log entries - log_entries = [] - for line in reversed(recent_lines): # Most recent first - try: - log_entry = json.loads(line.strip()) - - # Filter by level if specified - if level and log_entry.get("level") != level.upper(): - continue - - log_entries.append(log_entry) - except json.JSONDecodeError: - # Skip malformed lines - continue - - logger.debug( - f"Retrieved {len(log_entries)} log entries", - extra={"request_id": request_id, "log_file": str(log_file)}, - ) - - return { - "logs": log_entries, - "total_lines": len(log_entries), - "log_file": str(log_file), - "filters": {"lines_requested": lines, "level": level, "log_type": log_type}, - } - - except Exception as e: - logger.error( - f"Failed to retrieve logs: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to retrieve logs", - }, - ) - - -@router.get("/api/version") -async def get_version_info(request: Request): - """Get unified version information for MeticAI. - - In v2 all components run in a single container, so there is one version. - Includes beta channel status from settings. - """ - request_id = request.state.request_id - - try: - # Read unified version from VERSION file - version = "unknown" - version_file = Path(__file__).parent.parent.parent / "VERSION" - if version_file.exists(): - version = version_file.read_text().strip() - - # Try to get git commit hash - commit = None - try: - result = subprocess.run( - ["git", "rev-parse", "--short", "HEAD"], - cwd=Path(__file__).parent.parent.parent, - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0 and result.stdout.strip(): - commit = result.stdout.strip() - except Exception: - pass - - # Determine if this is a beta version (contains -beta, -alpha, or -rc) - is_beta_version = any( - suffix in version.lower() for suffix in ["-beta", "-alpha", "-rc"] - ) - - # Get beta channel preference from settings - settings = load_settings() - beta_channel = settings.get("betaChannel", False) - - return { - "version": version, - "commit": commit, - "repo_url": "https://github.com/hessius/MeticAI", - "is_beta_version": is_beta_version, - "beta_channel_enabled": beta_channel, - "channel": "beta" if beta_channel else "stable", - } - except Exception as e: - logger.error( - f"Failed to get version info: {str(e)}", - extra={"request_id": request_id}, - exc_info=True, - ) - return { - "version": "unknown", - "commit": None, - "repo_url": "https://github.com/hessius/MeticAI", - "is_beta_version": False, - "beta_channel_enabled": False, - "channel": "stable", - } - - -@router.get("/api/network-ip") -async def get_network_ip(request: Request): - """Auto-detect the server's LAN IP address for cross-device QR codes. - - Uses a UDP socket trick (no data is actually sent) to discover - the default-route interface address. Falls back to hostname - resolution and finally to ``127.0.0.1``. - """ - request_id = request.state.request_id - ip = "127.0.0.1" - - try: - # Preferred: open a UDP socket to a public IP (no traffic sent) - # This gives us the address of the interface with the default route. - with socket.socket(socket.AF_INET, socket.SOCK_DGRAM) as s: - s.settimeout(1) - s.connect(("8.8.8.8", 80)) - ip = s.getsockname()[0] - except Exception: - # Fallback: hostname lookup - try: - hostname = socket.gethostname() - resolved = socket.gethostbyname(hostname) - if resolved and not resolved.startswith("127."): - ip = resolved - except Exception: - pass - - logger.debug("Network IP detected", extra={"request_id": request_id, "ip": ip}) - return {"ip": ip} - - -@router.get("/api/changelog") -async def get_changelog(request: Request): - """Get release notes from GitHub. - - Returns cached release notes if available and fresh, - otherwise fetches from GitHub API and caches the result. - """ - global _changelog_cache, _changelog_cache_time - request_id = request.state.request_id - - try: - # Check if we have a valid cache - now = datetime.now(timezone.utc) - if _changelog_cache and _changelog_cache_time: - cache_age = now - _changelog_cache_time - if cache_age < CHANGELOG_CACHE_DURATION: - logger.debug( - f"Returning cached changelog (age: {cache_age.total_seconds():.0f}s)", - extra={"request_id": request_id}, - ) - return _changelog_cache - - # Fetch from GitHub API - import httpx - - async with httpx.AsyncClient() as client: - response = await client.get( - "https://api.github.com/repos/hessius/MeticAI/releases", - params={"per_page": 10}, - headers={"Accept": "application/vnd.github.v3+json"}, - timeout=10.0, - ) - - if response.status_code == 200: - releases = response.json() - - def strip_installation_section(body: str) -> str: - """Remove the Installation section from release notes.""" - if not body: - return body - # Find where Installation section starts (### Installation or ## Installation) - # Match "### Installation" or "## Installation" and everything after until end or next major section - pattern = r"\n---\n+### Installation.*$" - cleaned = re.sub(pattern, "", body, flags=re.DOTALL | re.IGNORECASE) - # Also try without the --- separator - pattern2 = r"\n### Installation.*$" - cleaned = re.sub( - pattern2, "", cleaned, flags=re.DOTALL | re.IGNORECASE - ) - return cleaned.strip() - - changelog_data = { - "releases": [ - { - "version": release.get("tag_name", ""), - "date": ( - release.get("published_at", "")[:10] - if release.get("published_at") - else "" - ), - "body": strip_installation_section( - release.get("body", "No release notes available.") - ), - } - for release in releases - ], - "cached_at": now.isoformat(), - } - - # Update cache - _changelog_cache = changelog_data - _changelog_cache_time = now - - logger.info( - f"Fetched and cached {len(releases)} releases from GitHub", - extra={"request_id": request_id}, - ) - - return changelog_data - elif response.status_code in (403, 429): - # Rate limited - logger.warning( - f"GitHub API rate limit reached: {response.status_code}", - extra={"request_id": request_id}, - ) - # Return cached data if available, even if stale - if _changelog_cache: - return _changelog_cache - return { - "releases": [], - "error": "GitHub API rate limit reached. Please try again later.", - "cached_at": None, - } - else: - logger.error( - f"GitHub API error: {response.status_code}", - extra={"request_id": request_id}, - ) - if _changelog_cache: - return _changelog_cache - return { - "releases": [], - "error": f"Failed to fetch releases (status {response.status_code})", - "cached_at": None, - } - - except Exception as e: - logger.error( - f"Failed to fetch changelog: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - # Return cached data if available - if _changelog_cache: - return _changelog_cache - return {"releases": [], "error": str(e), "cached_at": None} - - -@router.get("/api/settings") -async def get_settings(request: Request): - """Get current settings. - - Returns settings with API key masked for security. - """ - request_id = request.state.request_id - - try: - logger.info( - "Fetching settings", - extra={"request_id": request_id, "endpoint": "/api/settings"}, - ) - - stored_settings = load_settings() - settings = dict(stored_settings) - - # Active AI provider (#491). Defaults to gemini for backward compat. - from services.ai_providers import ( - get_active_provider_id, - get_provider_api_key, - get_provider_model, - get_provider_descriptor, - ) - - active_provider = get_active_provider_id() - settings["aiProvider"] = active_provider - is_gemini_provider = active_provider == "gemini" - - # Read current values from environment - env_api_key = os.environ.get("GEMINI_API_KEY", "") - env_meticulous_ip = os.environ.get("METICULOUS_IP", "") - env_server_ip = os.environ.get("PI_IP", "") - - if is_gemini_provider: - stored_api_key = str(stored_settings.get("geminiApiKey", "") or "").strip() - effective_api_key = env_api_key.strip() or stored_api_key - else: - stored_api_key = str(stored_settings.get("aiApiKey", "") or "").strip() - effective_api_key = get_provider_api_key(active_provider) or stored_api_key - - # Always show API key as stars if set (never expose the actual key) - if effective_api_key: - settings["geminiApiKey"] = "*" * min(len(effective_api_key), 20) - settings["geminiApiKeyMasked"] = True - settings["geminiApiKeyConfigured"] = True - else: - settings["geminiApiKey"] = "" - settings["geminiApiKeyMasked"] = False - settings["geminiApiKeyConfigured"] = False - - # Never expose the raw BYO provider key (#491). The masked representation - # is already carried by geminiApiKey/geminiApiKeyMasked above. - settings.pop("aiApiKey", None) - - # Always show current IP values from environment (env takes precedence) - if env_meticulous_ip: - settings["meticulousIp"] = env_meticulous_ip - - if env_server_ip: - settings["serverIp"] = env_server_ip - - # MQTT enabled flag (env var takes precedence over stored setting) - mqtt_env = os.environ.get("MQTT_ENABLED", "") - if mqtt_env: - settings["mqttEnabled"] = mqtt_env.lower() == "true" - elif "mqttEnabled" not in settings: - settings["mqttEnabled"] = True - - # Model (env var takes precedence over stored setting). The web client - # reads `geminiModel` generically, so report the active provider's model. - if is_gemini_provider: - gemini_model_env = os.environ.get("GEMINI_MODEL", "").strip() - if gemini_model_env: - settings["geminiModel"] = gemini_model_env - elif "geminiModel" not in settings: - settings["geminiModel"] = "gemini-2.5-flash" - else: - settings["geminiModel"] = get_provider_model(active_provider) - settings["aiModelDefault"] = get_provider_descriptor(active_provider)[ - "default_model" - ] - - return settings - - except Exception as e: - logger.error( - f"Failed to fetch settings: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to fetch settings", - }, - ) - - -def _update_s6_env(var_name: str, value: str, request_id: str = "") -> None: - """Write an env var to the s6 container environment directory. - - Delegates to the shared ``utils.s6_env.update_s6_env`` implementation. - """ - from utils.s6_env import update_s6_env - - update_s6_env(var_name, value, request_id=request_id) - - -@router.post("/api/settings") -async def save_settings_endpoint(request: Request): - """Save settings. - - Updates the settings.json file and optionally updates the .env file - for system-level settings (requires container restart to take effect). - """ - request_id = request.state.request_id - - try: - body = await request.json() - - logger.info( - "Saving settings", - extra={ - "request_id": request_id, - "endpoint": "/api/settings", - "has_api_key": bool(body.get("geminiApiKey")), - "has_meticulous_ip": bool(body.get("meticulousIp")), - "has_server_ip": bool(body.get("serverIp")), - "has_author": bool(body.get("authorName")), - }, - ) - - # Load current settings - current_settings = load_settings() - - # Active AI provider (#491). Defaults to gemini for backward compat. - from services.ai_providers import PROVIDERS, DEFAULT_PROVIDER - - ai_provider = str(body.get("aiProvider", "") or "").strip().lower() - if ai_provider not in PROVIDERS: - stored_provider = str(current_settings.get("aiProvider", "") or "") - ai_provider = ( - stored_provider if stored_provider in PROVIDERS else DEFAULT_PROVIDER - ) - current_settings["aiProvider"] = ai_provider - is_gemini_provider = ai_provider == "gemini" - - # Update only provided fields - if "authorName" in body: - current_settings["authorName"] = body["authorName"].strip() - - # Boolean preference fields - for bool_key in ("autoSync", "autoSyncAiDescription"): - if bool_key in body: - current_settings[bool_key] = bool(body[bool_key]) - - # Model selection (stored per active provider). - if "geminiModel" in body: - model_value = str(body["geminiModel"]).strip() - if is_gemini_provider: - current_settings["geminiModel"] = model_value or "gemini-2.5-flash" - else: - current_settings["aiModel"] = model_value - - # For IP and API key changes, also update .env file - env_updated = False - env_path = Path("/app/.env") - - # Read current .env content - env_content = "" - if env_path.exists(): - env_content = env_path.read_text() - - def _upsert_env(name: str, value: str) -> None: - """Insert or replace ``name=value`` in the in-memory .env content.""" - nonlocal env_content - if f"{name}=" in env_content: - env_content = re.sub( - rf"{re.escape(name)}=.*", - lambda _m: f"{name}={value}", - env_content, - ) - else: - env_content += f"\n{name}={value}" - - # Persist the active provider id to .env (only written when another - # change already triggers an .env write; s6 env + settings.json below - # guarantee persistence regardless). - _upsert_env("AI_PROVIDER", ai_provider) - - # Handle API key update (routed to the active provider's env var). - if body.get("geminiApiKey") and not body.get("geminiApiKeyMasked"): - new_api_key = body["geminiApiKey"].strip() - if ( - new_api_key and "..." not in new_api_key and "*" not in new_api_key - ): # Not a masked value - key_env = "GEMINI_API_KEY" if is_gemini_provider else "AI_API_KEY" - if is_gemini_provider: - current_settings["geminiApiKey"] = new_api_key - else: - current_settings["aiApiKey"] = new_api_key - _upsert_env(key_env, new_api_key) - env_updated = True - - # Handle Meticulous IP update - if body.get("meticulousIp"): - new_ip = body["meticulousIp"].strip() - current_settings["meticulousIp"] = new_ip - if "METICULOUS_IP=" in env_content: - env_content = re.sub( - r"METICULOUS_IP=.*", f"METICULOUS_IP={new_ip}", env_content - ) - else: - env_content += f"\nMETICULOUS_IP={new_ip}" - env_updated = True - - # Handle Server IP update - if body.get("serverIp"): - new_ip = body["serverIp"].strip() - current_settings["serverIp"] = new_ip - if "PI_IP=" in env_content: - env_content = re.sub(r"PI_IP=.*", f"PI_IP={new_ip}", env_content) - else: - env_content += f"\nPI_IP={new_ip}" - env_updated = True - - # Save settings to JSON file. - # Strip display-only keys that should never be persisted. - for _display_key in ("geminiApiKeyConfigured", "geminiApiKeyMasked"): - current_settings.pop(_display_key, None) - save_settings(current_settings) - - # Write .env file if updated (note: may fail if read-only mount) - if env_updated: - try: - env_path.write_text(env_content) - logger.info("Updated .env file", extra={"request_id": request_id}) - except PermissionError: - logger.warning( - ".env file is read-only, changes saved to settings.json only", - extra={"request_id": request_id}, - ) - - # Hot-reload: update running process environment and restart services - services_restarted = [] - - if body.get("meticulousIp"): - new_ip = body["meticulousIp"].strip() - os.environ["METICULOUS_IP"] = new_ip - - # Write to s6 container environment so restarted services pick it up. - # s6-overlay services using `with-contenv` read from this directory, - # NOT from the FastAPI process environment. - _update_s6_env("METICULOUS_IP", new_ip, request_id) - - # Reset cached FastAPI Meticulous client - try: - from services.meticulous_service import reset_meticulous_api - - reset_meticulous_api() - services_restarted.append("meticulous_api") - except Exception as e: - logger.warning( - f"Failed to reset Meticulous API client: {e}", - extra={"request_id": request_id}, - ) - - # Restart MCP server s6 service so it picks up the new IP - try: - result = subprocess.run( - ["s6-svc", "-r", "/run/service/mcp-server"], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - services_restarted.append("mcp-server") - logger.info( - "Restarted MCP server with new METICULOUS_IP", - extra={"request_id": request_id, "new_ip": new_ip}, - ) - else: - logger.warning( - f"Failed to restart MCP server: {result.stderr}", - extra={"request_id": request_id}, - ) - except Exception as e: - logger.warning( - f"Could not restart MCP server: {e}", - extra={"request_id": request_id}, - ) - - # Also restart the bridge (it needs the new IP for Socket.IO) - try: - from services.bridge_service import restart_bridge_service - - if restart_bridge_service(): - services_restarted.append("meticulous-bridge") - except Exception as e: - logger.warning( - f"Could not restart bridge: {e}", extra={"request_id": request_id} - ) - - # Hot-reload the active provider into the process environment so the - # change takes effect without a container restart. - os.environ["AI_PROVIDER"] = ai_provider - _update_s6_env("AI_PROVIDER", ai_provider, request_id) - - if body.get("geminiApiKey") and not body.get("geminiApiKeyMasked"): - new_api_key = body["geminiApiKey"].strip() - if new_api_key and "..." not in new_api_key and "*" not in new_api_key: - key_env = "GEMINI_API_KEY" if is_gemini_provider else "AI_API_KEY" - os.environ[key_env] = new_api_key - _update_s6_env(key_env, new_api_key, request_id) - # Reset cached vision model so it re-configures with the new key - try: - from services.gemini_service import reset_vision_model - - reset_vision_model() - services_restarted.append("vision_model") - except Exception as e: - logger.warning( - f"Failed to reset vision model: {e}", - extra={"request_id": request_id}, - ) - services_restarted.append("ai_env") - logger.info( - "Updated %s in process environment", - key_env, - extra={"request_id": request_id}, - ) - - # Handle MQTT enabled toggle - if "mqttEnabled" in body: - mqtt_enabled = bool(body["mqttEnabled"]) - current_settings["mqttEnabled"] = mqtt_enabled - os.environ["MQTT_ENABLED"] = str(mqtt_enabled).lower() - - # Update .env file - if "MQTT_ENABLED=" in env_content: - env_content = re.sub( - r"MQTT_ENABLED=.*", - f"MQTT_ENABLED={str(mqtt_enabled).lower()}", - env_content, - ) - else: - env_content += f"\nMQTT_ENABLED={str(mqtt_enabled).lower()}" - env_updated = True - - # Restart bridge and reset MQTT subscriber - try: - from services.bridge_service import restart_bridge_service - - restart_bridge_service() - services_restarted.append("meticulous-bridge") - except Exception as e: - logger.warning( - f"Failed to restart bridge: {e}", extra={"request_id": request_id} - ) - - try: - from services.mqtt_service import ( - reset_mqtt_subscriber, - get_mqtt_subscriber, - ) - - reset_mqtt_subscriber() - if mqtt_enabled: - import asyncio - - sub = get_mqtt_subscriber() - sub.start(asyncio.get_running_loop()) - services_restarted.append("mqtt_subscriber") - except Exception as e: - logger.warning( - f"Failed to reset MQTT subscriber: {e}", - extra={"request_id": request_id}, - ) - - logger.info( - "MQTT enabled=%s", mqtt_enabled, extra={"request_id": request_id} - ) - - # Hot-reload the model into the process environment (per active provider). - if "geminiModel" in body: - new_model = str(body["geminiModel"]).strip() - if new_model: - model_env = "GEMINI_MODEL" if is_gemini_provider else "AI_MODEL" - os.environ[model_env] = new_model - _update_s6_env(model_env, new_model, request_id) - services_restarted.append("ai_model") - logger.info( - "Updated %s to %s", - model_env, - new_model, - extra={"request_id": request_id}, - ) - - return { - "status": "success", - "message": "Settings saved successfully", - "env_updated": env_updated, - "services_restarted": services_restarted, - } - - except Exception as e: - logger.error( - f"Failed to save settings: {str(e)}", - exc_info=True, - extra={"request_id": request_id, "error_type": type(e).__name__}, - ) - raise HTTPException( - status_code=500, - detail={ - "status": "error", - "error": str(e), - "message": "Failed to save settings", - }, - ) - - -@router.post("/api/beta-channel") -async def switch_beta_channel(request: Request): - """Switch between beta and stable update channels. - - Updates the betaChannel setting and optionally creates a docker-compose override - to pull from the beta tag instead of latest. - - Request body: - enabled (bool): Whether to enable beta channel - - Returns: - status: success/error - channel: Current channel after switch ("beta" or "stable") - message: Informational message - """ - request_id = request.state.request_id - - try: - body = await request.json() - enabled = body.get("enabled", False) - - logger.info( - f"Switching beta channel: enabled={enabled}", - extra={"request_id": request_id}, - ) - - # Update settings - current_settings = load_settings() - current_settings["betaChannel"] = enabled - save_settings(current_settings) - - # Create or update docker-compose override for image tag - override_path = Path("/app/docker-compose.channel.yml") - compose_updated = False - - try: - if enabled: - # Create override to use beta tag - override_content = """# Auto-generated by MeticAI beta channel switch -# DO NOT EDIT - this file is managed automatically -version: '3.8' -services: - meticai: - image: ghcr.io/hessius/meticai:beta -""" - override_path.write_text(override_content) - compose_updated = True - logger.info( - "Created docker-compose.channel.yml for beta tag", - extra={"request_id": request_id}, - ) - else: - # Remove override to use latest (default) - if override_path.exists(): - override_path.unlink() - compose_updated = True - logger.info( - "Removed docker-compose.channel.yml, reverting to latest", - extra={"request_id": request_id}, - ) - except PermissionError: - logger.warning( - "Cannot modify docker-compose override - filesystem may be read-only", - extra={"request_id": request_id}, - ) - except Exception as e: - logger.warning( - f"Failed to update docker-compose override: {e}", - extra={"request_id": request_id}, - ) - - channel = "beta" if enabled else "stable" - - return { - "status": "success", - "channel": channel, - "compose_updated": compose_updated, - "message": f"Switched to {channel} channel. " - + ( - "Watchtower will pull the next beta update automatically." - if enabled - else "Watchtower will pull from the stable channel." - ) - + ( - " Container restart may be required for changes to take effect." - if compose_updated - else "" - ), - } - - except Exception as e: - logger.error( - f"Failed to switch beta channel: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) - - -@router.post("/api/feedback") -async def send_feedback(request: Request): - """Submit beta feedback to create a GitHub issue. - - Request body: - type (str): Feedback type - "bug", "feature", "question", or "general" - title (str): Short summary of the feedback - description (str): Detailed description - include_logs (bool, optional): Whether to include recent server logs - - Returns: - status: success/error - issue_url: URL to the created GitHub issue (if successful) - message: Informational message - - Note: This creates an issue via the GitHub API. Requires the GITHUB_TOKEN - environment variable to be set, or falls back to returning a pre-filled - issue URL that the user can open manually. - """ - request_id = request.state.request_id - - try: - body = await request.json() - feedback_type = body.get("type", "general") - title = body.get("title", "").strip() - description = body.get("description", "").strip() - include_logs = body.get("include_logs", False) - - if not title or not description: - raise HTTPException( - status_code=400, detail={"error": "Title and description are required"} - ) - - # Get version info for context - version = "unknown" - version_file = Path(__file__).parent.parent.parent / "VERSION" - if version_file.exists(): - version = version_file.read_text().strip() - - # Check if running beta - settings = load_settings() - is_beta = settings.get("betaChannel", False) - - # Build issue body - issue_body_parts = [ - f"## Feedback Type\n{feedback_type.capitalize()}", - f"\n## Description\n{description}", - "\n## Environment", - f"- **Version**: {version}", - f"- **Channel**: {'Beta' if is_beta else 'Stable'}", - ] - - # Include recent logs if requested - if include_logs: - try: - # Get last 50 lines of logs - import subprocess - - result = subprocess.run( - ["journalctl", "-u", "meticai", "-n", "50", "--no-pager"], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0 and result.stdout.strip(): - issue_body_parts.append( - f"\n## Recent Logs\n```\n{result.stdout[:2000]}\n```" - ) - except Exception: - pass # Skip logs if unavailable - - issue_body = "\n".join(issue_body_parts) - - # Add labels based on type - labels = ["beta-feedback"] - if feedback_type == "bug": - labels.append("bug") - elif feedback_type == "feature": - labels.append("enhancement") - - # Try to create issue via GitHub API - github_token = os.environ.get("GITHUB_TOKEN") - - if github_token: - import httpx - - try: - async with httpx.AsyncClient() as client: - response = await client.post( - "https://api.github.com/repos/hessius/MeticAI/issues", - headers={ - "Authorization": f"Bearer {github_token}", - "Accept": "application/vnd.github+json", - "X-GitHub-Api-Version": "2022-11-28", - }, - json={ - "title": f"[{feedback_type.upper()}] {title}", - "body": issue_body, - "labels": labels, - }, - timeout=30.0, - ) - - if response.status_code == 201: - issue_data = response.json() - logger.info( - f"Created GitHub issue #{issue_data.get('number')}", - extra={"request_id": request_id}, - ) - return { - "status": "success", - "issue_url": issue_data.get("html_url"), - "issue_number": issue_data.get("number"), - "message": "Feedback submitted successfully!", - } - else: - logger.warning( - f"GitHub API returned {response.status_code}: {response.text}", - extra={"request_id": request_id}, - ) - except Exception as e: - logger.warning( - f"Failed to create GitHub issue: {e}", - extra={"request_id": request_id}, - ) - - # Fallback: return a URL for manual issue creation - import urllib.parse - - params = urllib.parse.urlencode( - { - "title": f"[{feedback_type.upper()}] {title}", - "body": issue_body, - "labels": ",".join(labels), - } - ) - manual_url = f"https://github.com/hessius/MeticAI/issues/new?{params}" - - return { - "status": "manual", - "issue_url": manual_url, - "message": "Please click the link to submit your feedback on GitHub.", - } - - except HTTPException: - raise - except Exception as e: - logger.error( - f"Failed to submit feedback: {str(e)}", - exc_info=True, - extra={"request_id": request_id}, - ) - raise HTTPException( - status_code=500, detail={"status": "error", "error": str(e)} - ) diff --git a/apps/server/api/routes/websocket.py b/apps/server/api/routes/websocket.py deleted file mode 100644 index 4e835c17..00000000 --- a/apps/server/api/routes/websocket.py +++ /dev/null @@ -1,127 +0,0 @@ -"""WebSocket endpoint for live machine telemetry. - -Streams the latest MQTT sensor snapshot to connected browser clients -at a capped rate of ~10 frames per second to protect low-powered hosts -(e.g. Raspberry Pi). - -Route: ws://host:3550/api/ws/live -""" - -import asyncio -import logging -import os -import time -from fastapi import APIRouter, WebSocket, WebSocketDisconnect - -from services.mqtt_service import get_mqtt_subscriber - -router = APIRouter() -logger = logging.getLogger(__name__) - -# Max update rate — 10 FPS → 100 ms between frames -FRAME_INTERVAL = 0.1 # seconds - -TEST_MODE = os.environ.get("TEST_MODE") == "true" - - -@router.websocket("/api/ws/live") -async def live_telemetry(ws: WebSocket): - """Stream live machine telemetry over WebSocket. - - Protocol (server → client): - Each message is a JSON object with the full sensor snapshot, - plus a ``_ts`` field (Unix epoch float) for client-side staleness - detection. - - The server rate-limits to ~10 FPS. If no new data arrives from MQTT - the connection stays open but silent (no empty keepalives). - """ - await ws.accept() - - # Fetch subscriber fresh each time — survives MQTT hot-reload/reset - subscriber = get_mqtt_subscriber() - ws_id = id(ws) - subscriber.register_ws(ws_id) - - logger.info( - "WebSocket client connected (id=%d, total=%d)", - ws_id, - subscriber.ws_client_count, - ) - - try: - last_sent: dict = {} - - # Send the current MQTT snapshot immediately so the browser - # does not have to wait for the next MQTT delta. - initial = subscriber.get_snapshot() - if initial: - initial["_ts"] = time.time() - try: - await ws.send_json(initial) - last_sent = {k: v for k, v in initial.items() if k != "_ts"} - except Exception: - return # Client already gone - - while True: - # Re-fetch subscriber to survive hot-reloads (reset_mqtt_subscriber) - subscriber = get_mqtt_subscriber() - - # In TEST_MODE there's no MQTT data — just wait for the - # client to close. We use receive_text() which will raise - # WebSocketDisconnect when the client closes the socket. - if TEST_MODE or subscriber.data_event is None: - try: - await asyncio.wait_for(ws.receive_text(), timeout=1.0) - except asyncio.TimeoutError: - continue - except WebSocketDisconnect: - break - continue - - # Clear the event *before* waiting so that any signal arriving - # between wait() returning and the next iteration is not lost. - subscriber.data_event.clear() - - # Wait for new data from the MQTT thread (or timeout) - try: - await asyncio.wait_for(subscriber.data_event.wait(), timeout=5.0) - except asyncio.TimeoutError: - # No data in 5 s — send a heartbeat so the browser knows - # the connection is still alive - try: - await ws.send_json({"_heartbeat": True, "_ts": time.time()}) - except Exception: - break - continue - - # Rate-limit: sleep until at least FRAME_INTERVAL since last send - snapshot = subscriber.get_snapshot() - if snapshot == last_sent: - continue # No actual change - - await asyncio.sleep(FRAME_INTERVAL) - - snapshot["_ts"] = time.time() - try: - await ws.send_json(snapshot) - except Exception: - break - - last_sent = {k: v for k, v in snapshot.items() if k != "_ts"} - - except WebSocketDisconnect: - pass - except Exception as exc: - logger.warning("WebSocket error: %s", exc) - finally: - subscriber.unregister_ws(ws_id) - logger.info( - "WebSocket client disconnected (id=%d, remaining=%d)", - ws_id, - subscriber.ws_client_count, - ) - try: - await ws.close() - except Exception: - pass # Already closed by client or error diff --git a/apps/server/config.py b/apps/server/config.py deleted file mode 100644 index df3f1dac..00000000 --- a/apps/server/config.py +++ /dev/null @@ -1,91 +0,0 @@ -"""Configuration management for MeticAI server. - -This module centralizes all configuration constants and environment variables -for easier management and testing. - -Usage: - from config import config, DATA_DIR, MAX_UPLOAD_SIZE - - # Access via config object - api_key = config.GEMINI_API_KEY - - # Or use exported constants - upload_limit = MAX_UPLOAD_SIZE - -Attributes: - TEST_MODE: Boolean flag for test environment (affects DATA_DIR) - DATA_DIR: Path to data directory (temp dir in test mode, /app/data otherwise) - LOG_DIR: Path to log directory - GEMINI_API_KEY: Google Gemini API key from environment - METICULOUS_IP: IP address of Meticulous espresso machine - PI_IP: IP address of this server - UPDATE_CHECK_INTERVAL: Seconds between update checks (default: 7200 = 2 hours) - MAX_UPLOAD_SIZE: Maximum file upload size in bytes (default: 10 MB) - LLM_CACHE_TTL_SECONDS: TTL for LLM analysis cache (default: 259200 = 3 days) - SHOT_CACHE_STALE_SECONDS: Staleness threshold for shot cache (default: 3600 = 1 hour) - VERSION_PATTERN: Compiled regex for version extraction - STAGE_STATUS_RETRACTING: Constant for stage status - -Note: - DATA_DIR is automatically set to a temporary directory when TEST_MODE="true", - enabling isolated testing without affecting production data. -""" - -import os -import tempfile -from pathlib import Path -import re - - -class Config: - """Central configuration for MeticAI server.""" - - # Test Mode - TEST_MODE = os.environ.get("TEST_MODE") == "true" - - # Data Directories - if TEST_MODE: - data_dir_env = os.environ.get("DATA_DIR") - if data_dir_env: - DATA_DIR = Path(data_dir_env) - else: - DATA_DIR = Path(tempfile.gettempdir()) / "meticai_test_data" - DATA_DIR.mkdir(parents=True, exist_ok=True) - else: - DATA_DIR = Path(os.environ.get("DATA_DIR", "/app/data")) - - LOG_DIR = Path(os.environ.get("LOG_DIR", "/app/logs")) - - # API Keys and Endpoints - GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY", "") - METICULOUS_IP = os.environ.get("METICULOUS_IP", "") - PI_IP = os.environ.get("PI_IP", "") - - # Application Settings - UPDATE_CHECK_INTERVAL = 7200 # 2 hours in seconds - MAX_UPLOAD_SIZE = 10 * 1024 * 1024 # 10 MB in bytes - - # Cache Settings - LLM_CACHE_TTL_SECONDS = 259200 # 3 days (72 hours) - SHOT_CACHE_STALE_SECONDS = 3600 # 1 hour - - # Stage Status Constants - STAGE_STATUS_RETRACTING = "retracting" - - # Regex Patterns (pre-compiled for performance) - VERSION_PATTERN = re.compile(r'^\s*version\s*=\s*["\']([^"\']+)["\']', re.MULTILINE) - - -# Convenience access to config -config = Config() - - -# Backward compatibility - export commonly used constants -DATA_DIR = config.DATA_DIR -TEST_MODE = config.TEST_MODE -UPDATE_CHECK_INTERVAL = config.UPDATE_CHECK_INTERVAL -MAX_UPLOAD_SIZE = config.MAX_UPLOAD_SIZE -VERSION_PATTERN = config.VERSION_PATTERN -STAGE_STATUS_RETRACTING = config.STAGE_STATUS_RETRACTING -LLM_CACHE_TTL_SECONDS = config.LLM_CACHE_TTL_SECONDS -SHOT_CACHE_STALE_SECONDS = config.SHOT_CACHE_STALE_SECONDS diff --git a/apps/server/conftest.py b/apps/server/conftest.py deleted file mode 100644 index bcfa1025..00000000 --- a/apps/server/conftest.py +++ /dev/null @@ -1,92 +0,0 @@ -""" -Pytest configuration and shared fixtures for meticai-server tests. - -This module MUST be loaded before main.py to set up test environment variables. -""" - -import os -import tempfile -import shutil -import pytest -from unittest.mock import Mock, patch - -# Set test environment variables BEFORE main.py is imported -# This runs at import time, ensuring environment is set up early -os.environ["TEST_MODE"] = "true" - -# Create a temporary directory for test data -test_data_dir = tempfile.mkdtemp(prefix="meticai_test_") -os.environ["DATA_DIR"] = test_data_dir - - -@pytest.fixture(scope="session", autouse=True) -def cleanup_test_data(): - """Clean up temporary test data directory after all tests complete.""" - yield - # Cleanup after all tests finish - if os.path.exists(test_data_dir): - try: - shutil.rmtree(test_data_dir) - except (PermissionError, OSError): - # If cleanup fails, it's not critical for tests - pass - - -@pytest.fixture(autouse=True) -def _reset_in_memory_caches(): - """Reset all in-memory service caches between tests. - - This prevents stale data from leaking across test boundaries when - tests write directly to on-disk files and expect fresh reads. - """ - import services.cache_service as _cs - import services.settings_service as _ss - import services.history_service as _hs - import services.meticulous_service as _ms - import services.temp_profile_service as _tps - import services.pour_over_preferences as _pop - - _cs._llm_cache = None - _cs._shot_cache = None - _ss._settings_cache = None - _hs._history_cache = None - _ms._profile_list_cache = None - _ms._profile_list_cache_time = 0.0 - _tps._set_active(None) - _tps._reset_lock() - _pop._cache = None - - # Also reset settings file on disk to defaults to prevent cross-test leaks - from config import DATA_DIR - - settings_file = DATA_DIR / "settings.json" - if settings_file.exists(): - settings_file.unlink() - - yield - - -@pytest.fixture() -def mock_validate_profile(): - """Mock validate_profile to return valid for tests that need it. - - Tests that trigger profile generation through /analyze_and_profile - should request this fixture explicitly. Validation-specific tests - (e.g. TestValidationRetry) should NOT use this fixture so they - exercise the real validator or supply their own patch. - """ - result = Mock() - result.is_valid = True - result.errors = [] - with patch("api.routes.coffee.validate_profile", return_value=result): - yield - - -@pytest.fixture(autouse=True) -def _reset_generation_progress(): - """Clear in-memory generation state between tests.""" - from services.generation_progress import _active_generations - - _active_generations.clear() - yield - _active_generations.clear() diff --git a/apps/server/conftest_integration.py b/apps/server/conftest_integration.py deleted file mode 100644 index face1f38..00000000 --- a/apps/server/conftest_integration.py +++ /dev/null @@ -1,180 +0,0 @@ -""" -Pytest configuration for integration tests with real Meticulous machine. - -This module provides fixtures for integration tests that require a real -Meticulous machine connection. Integration tests are opt-in and require -the TEST_INTEGRATION environment variable to be set. - -Note: Pytest does not auto-load this file because it is not named - ``conftest.py``. You must explicitly load it as a plugin. - -Usage: - export METICULOUS_IP=192.168.x.x - export TEST_INTEGRATION=true - # From apps/server/, explicitly load this module as a Pytest plugin - pytest -p conftest_integration test_integration*.py -v - - # Alternatively, set the environment variable: - export PYTEST_PLUGINS=conftest_integration - pytest test_integration*.py -v -""" - -import os -import pytest -import time - - -def pytest_configure(config): - """Register custom markers.""" - config.addinivalue_line( - "markers", "integration: mark test as integration test requiring real machine" - ) - - -def pytest_collection_modifyitems(config, items): - """Skip integration tests unless TEST_INTEGRATION is set.""" - skip_integration = pytest.mark.skip( - reason="Integration tests require TEST_INTEGRATION=true environment variable" - ) - - integration_enabled = os.environ.get("TEST_INTEGRATION", "").lower() in ( - "true", - "1", - "yes", - ) - - for item in items: - if "integration" in item.keywords and not integration_enabled: - item.add_marker(skip_integration) - - -@pytest.fixture(scope="session") -def meticulous_ip(): - """Get the Meticulous machine IP from environment.""" - ip = os.environ.get("METICULOUS_IP", "").strip() - if not ip: - pytest.skip("METICULOUS_IP environment variable not set") - return ip - - -@pytest.fixture(scope="session") -def meticulous_base_url(meticulous_ip): - """Get the base URL for the Meticulous machine.""" - return f"http://{meticulous_ip}" - - -@pytest.fixture(scope="session") -def integration_api(meticulous_ip): - """Get a Meticulous API client for integration tests.""" - # Set the IP in environment for the service to pick up - os.environ["METICULOUS_IP"] = meticulous_ip - - # Import after setting env var - from services.meticulous_service import get_meticulous_api, reset_meticulous_api - - # Reset to pick up the new IP - reset_meticulous_api() - - api = get_meticulous_api() - yield api - - # Cleanup - reset the API client - reset_meticulous_api() - - -@pytest.fixture(scope="function") -def wait_for_machine(integration_api): - """Wait for machine to be in a stable state before running test.""" - import httpx - - base_url = integration_api.base_url - - # Use /api/v1/settings as liveness check (machine has no /api/v1/machine/state) - try: - response = httpx.get(f"{base_url}/api/v1/settings", timeout=5.0) - response.raise_for_status() - except Exception as e: - pytest.skip(f"Machine not reachable: {e}") - - return integration_api - - -@pytest.fixture(scope="session") -def mqtt_host(): - """Get MQTT broker host for integration tests.""" - return os.environ.get("MQTT_HOST", "127.0.0.1") - - -@pytest.fixture(scope="session") -def mqtt_port(): - """Get MQTT broker port for integration tests.""" - return int(os.environ.get("MQTT_PORT", "1883")) - - -class IntegrationTestHelpers: - """Helper utilities for integration tests.""" - - @staticmethod - def wait_for_weight_stable( - api, timeout: float = 5.0, tolerance: float = 0.1 - ) -> float: - """Wait for scale weight to stabilize using Socket.IO status events.""" - - start_time = time.time() - last_weight = None - stable_count = 0 - result = {"weight": None, "error": None} - - def on_status(data): - nonlocal last_weight, stable_count - try: - weight = ( - data.get("sensors", {}).get("w", 0) - if isinstance(data, dict) - else getattr(getattr(data, "sensors", None), "w", 0) - ) - - if last_weight is not None and abs(weight - last_weight) < tolerance: - stable_count += 1 - if stable_count >= 3: - result["weight"] = weight - else: - stable_count = 0 - last_weight = weight - except Exception: - pass - - api.sio.on("status", on_status) - try: - if not api.sio.connected: - api.connect_to_socket(retries=2) - - while time.time() - start_time < timeout: - if result["weight"] is not None: - return result["weight"] - time.sleep(0.2) - - raise TimeoutError("Weight did not stabilize within timeout") - finally: - api.sio.on("status", None) - - @staticmethod - def wait_for_connection(host: str, port: int, timeout: float = 10.0) -> bool: - """Wait for a TCP connection to become available.""" - import socket - - start_time = time.time() - while time.time() - start_time < timeout: - try: - with socket.create_connection((host, port), timeout=1.0): - return True - except (socket.error, socket.timeout): - time.sleep(0.5) - - return False - - -@pytest.fixture -def helpers(): - """Provide integration test helper utilities.""" - return IntegrationTestHelpers() diff --git a/apps/server/logging_config.py b/apps/server/logging_config.py deleted file mode 100644 index f214e25f..00000000 --- a/apps/server/logging_config.py +++ /dev/null @@ -1,215 +0,0 @@ -""" -Logging configuration for the Coffee Relay application. - -Provides structured logging with: -- Rotating file handlers (size and count limits) -- JSON-formatted logs for easy parsing -- Context information (timestamp, level, user info, etc.) -- Separate handlers for different log levels -""" - -import logging -import logging.handlers -import json -import sys -from pathlib import Path -from datetime import datetime -import traceback - - -class JSONFormatter(logging.Formatter): - """Custom JSON formatter for structured logging.""" - - def format(self, record: logging.LogRecord) -> str: - """Format log record as JSON with all relevant context.""" - log_data = { - "timestamp": datetime.utcnow().isoformat() + "Z", - "level": record.levelname, - "logger": record.name, - "message": record.getMessage(), - "module": record.module, - "function": record.funcName, - "line": record.lineno, - } - - # Add exception info if present - if record.exc_info: - log_data["exception"] = { - "type": record.exc_info[0].__name__ if record.exc_info[0] else None, - "message": str(record.exc_info[1]) if record.exc_info[1] else None, - "traceback": traceback.format_exception(*record.exc_info), - } - - # Add extra context from record - if hasattr(record, "request_id"): - log_data["request_id"] = record.request_id - if hasattr(record, "endpoint"): - log_data["endpoint"] = record.endpoint - if hasattr(record, "user_agent"): - log_data["user_agent"] = record.user_agent - if hasattr(record, "client_ip"): - log_data["client_ip"] = record.client_ip - if hasattr(record, "duration_ms"): - log_data["duration_ms"] = record.duration_ms - if hasattr(record, "status_code"): - log_data["status_code"] = record.status_code - - # Add any custom extra fields - for key, value in record.__dict__.items(): - if key not in [ - "name", - "msg", - "args", - "created", - "filename", - "funcName", - "levelname", - "levelno", - "lineno", - "module", - "msecs", - "message", - "pathname", - "process", - "processName", - "relativeCreated", - "thread", - "threadName", - "exc_info", - "exc_text", - "stack_info", - "request_id", - "endpoint", - "user_agent", - "client_ip", - "duration_ms", - "status_code", - ]: - log_data[key] = value - - return json.dumps(log_data) - - -class HumanReadableFormatter(logging.Formatter): - """Human-readable formatter for console output.""" - - def __init__(self): - super().__init__( - fmt="%(asctime)s - %(name)s - %(levelname)s - %(message)s", - datefmt="%Y-%m-%d %H:%M:%S", - ) - - -def setup_logging( - log_dir: str = "/app/logs", - max_bytes: int = 10 * 1024 * 1024, # 10 MB per file - backup_count: int = 5, # Keep 5 backup files (total 60 MB max) - log_level: str = "INFO", -) -> logging.Logger: - """ - Set up logging configuration with rotating file handlers. - - Args: - log_dir: Directory to store log files - max_bytes: Maximum size of each log file before rotation - backup_count: Number of backup files to keep - log_level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL) - - Returns: - Configured logger instance - """ - # Create logs directory if it doesn't exist - log_path = Path(log_dir) - log_path.mkdir(parents=True, exist_ok=True) - - # Get the named logger (used by main.py directly) - logger = logging.getLogger("meticai-server") - logger.setLevel(getattr(logging, log_level.upper())) - logger.propagate = False # Don't double-log to root - - # Clear any existing handlers - logger.handlers = [] - - # Console handler with human-readable format - console_handler = logging.StreamHandler(sys.stdout) - console_handler.setLevel(logging.INFO) - console_handler.setFormatter(HumanReadableFormatter()) - logger.addHandler(console_handler) - - # Also configure the root logger so that child loggers (services.*, - # api.routes.*) created via logging.getLogger(__name__) inherit the - # same handlers. Without this, logs from mqtt_service, websocket, - # bridge_service, etc. are silently dropped. - root = logging.getLogger() - root.setLevel(getattr(logging, log_level.upper())) - # Avoid duplicate handlers if setup_logging is called more than once - if not any( - isinstance(h, logging.StreamHandler) and h.stream is sys.stdout - for h in root.handlers - ): - root_console = logging.StreamHandler(sys.stdout) - root_console.setLevel(logging.INFO) - root_console.setFormatter(HumanReadableFormatter()) - root.addHandler(root_console) - - # All logs file (JSON format) - rotating - all_logs_file = log_path / "meticai-server.log" - all_logs_str = str(all_logs_file) - _all_handlers = logger.handlers + root.handlers - if not any( - isinstance(h, logging.handlers.RotatingFileHandler) - and h.baseFilename == all_logs_str - for h in _all_handlers - ): - all_logs_handler = logging.handlers.RotatingFileHandler( - all_logs_file, - maxBytes=max_bytes, - backupCount=backup_count, - encoding="utf-8", - ) - all_logs_handler.setLevel(logging.DEBUG) - all_logs_handler.setFormatter(JSONFormatter()) - logger.addHandler(all_logs_handler) - root.addHandler(all_logs_handler) - - # Error logs file (JSON format) - rotating, errors only - error_logs_file = log_path / "meticai-server-errors.log" - error_logs_str = str(error_logs_file) - _err_handlers = logger.handlers + root.handlers - if not any( - isinstance(h, logging.handlers.RotatingFileHandler) - and h.baseFilename == error_logs_str - for h in _err_handlers - ): - error_logs_handler = logging.handlers.RotatingFileHandler( - error_logs_file, - maxBytes=max_bytes, - backupCount=backup_count, - encoding="utf-8", - ) - error_logs_handler.setLevel(logging.ERROR) - error_logs_handler.setFormatter(JSONFormatter()) - logger.addHandler(error_logs_handler) - root.addHandler(error_logs_handler) - - # Suppress noisy third-party loggers - logging.getLogger("uvicorn").setLevel(logging.WARNING) - logging.getLogger("uvicorn.access").setLevel(logging.WARNING) - logging.getLogger("uvicorn.error").setLevel(logging.WARNING) - - logger.info( - "Logging system initialized", - extra={ - "log_dir": str(log_dir), - "max_bytes": max_bytes, - "backup_count": backup_count, - "log_level": log_level, - }, - ) - - return logger - - -def get_logger() -> logging.Logger: - """Get the configured logger instance.""" - return logging.getLogger("meticai-server") diff --git a/apps/server/main.py b/apps/server/main.py deleted file mode 100644 index 73bc8c92..00000000 --- a/apps/server/main.py +++ /dev/null @@ -1,503 +0,0 @@ -from fastapi import FastAPI, Request -from fastapi.middleware.cors import CORSMiddleware -from fastapi.responses import JSONResponse -from contextlib import asynccontextmanager -import os -import subprocess -import asyncio -from pathlib import Path -import uuid -import time -import tempfile -import requests.exceptions -import httpx -from logging_config import setup_logging -from config import UPDATE_CHECK_INTERVAL - -# Initialize logging system with environment-aware defaults -log_dir = os.environ.get("LOG_DIR", "/app/logs") -try: - logger = setup_logging(log_dir=log_dir) -except (PermissionError, OSError) as e: - # Fallback to temp directory for testing - log_dir = tempfile.mkdtemp() - logger = setup_logging(log_dir=log_dir) - logger.warning( - f"Failed to create log directory at {os.environ.get('LOG_DIR', '/app/logs')}, " - f"using temporary directory: {log_dir}", - extra={"original_error": str(e)}, - ) - - -async def check_for_updates_task(): - """Background task to check for updates by running update.sh --check-only.""" - script_path = Path("/app/update.sh") - - if not script_path.exists(): - logger.warning( - "Update script not found at /app/update.sh - skipping update check" - ) - return - - try: - logger.info("Running scheduled update check...") - # Run update script with --check-only flag - # Use asyncio.to_thread to avoid blocking the event loop - result = await asyncio.to_thread( - subprocess.run, - ["bash", str(script_path), "--check-only"], - capture_output=True, - text=True, - cwd="/app", - timeout=120, # 2 minutes timeout for check - ) - - if result.returncode == 0: - logger.info("Update check completed successfully") - else: - logger.warning( - f"Update check returned non-zero exit code: {result.returncode}" - ) - if result.stderr: - logger.warning(f"stderr: {result.stderr}") - - except subprocess.TimeoutExpired: - logger.error("Update check timed out after 2 minutes") - except Exception as e: - logger.error(f"Error running update check: {e}") - - -async def periodic_update_checker(): - """Periodically check for updates in the background.""" - # Initial check on startup (with small delay to let app fully start) - await asyncio.sleep(10) - await check_for_updates_task() - - # Then check periodically - while True: - await asyncio.sleep(UPDATE_CHECK_INTERVAL) - await check_for_updates_task() - - -def _is_masked(value: str) -> bool: - """Return True if *value* looks like a masked/placeholder secret (e.g. all stars).""" - return bool(value) and (set(value) <= {"*", "."} or "..." in value) - - -def _write_s6_env(var_name: str, value: str) -> None: - """Write an env var to the s6 container environment directory. - - Thin wrapper around the shared utility for use during lifespan hydration. - """ - from utils.s6_env import update_s6_env - - update_s6_env(var_name, value) - - -def _sync_defaults() -> None: - """Sync bundled defaults from /app/defaults into DATA_DIR. - - - PourOverBase.json: always overwritten (read-only template) - - Recipes: always overwritten — bundled recipes are read-only managed defaults - """ - import shutil - from config import DATA_DIR - - defaults_base = Path("/app/defaults") - if not defaults_base.exists(): - return # Not running in Docker — nothing to sync - - # PourOverBase.json — always overwrite from bundled defaults so template - # updates are applied on container restart (this is a read-only template, - # not user-editable data) - src_template = defaults_base / "PourOverBase.json" - dst_template = DATA_DIR / "PourOverBase.json" - if src_template.exists(): - dst_template.parent.mkdir(parents=True, exist_ok=True) - shutil.copy2(src_template, dst_template) - logger.info("Synced PourOverBase.json to %s", dst_template) - - # Recipes — always overwrite so new/updated bundled recipes appear on upgrade - src_recipes = defaults_base / "recipes" - dst_recipes = DATA_DIR / "recipes" - if src_recipes.exists(): - dst_recipes.mkdir(parents=True, exist_ok=True) - synced = 0 - for recipe_file in src_recipes.glob("*.json"): - shutil.copy2(recipe_file, dst_recipes / recipe_file.name) - synced += 1 - if synced: - logger.info("Synced %d default recipe(s) to %s", synced, dst_recipes) - - -@asynccontextmanager -async def lifespan(app: FastAPI): - """Manage application lifespan - start background tasks on startup.""" - # ── Sync bundled defaults into the data volume ─────────────────────── - _sync_defaults() - - # ── Hydrate os.environ from persisted settings ────────────────────── - # When the container starts, GEMINI_API_KEY / METICULOUS_IP may be - # empty in the environment (user configured them via the Settings UI, - # which writes to /data/settings.json but the Docker env stays blank). - # Load them now so that all services see them. - try: - from services.settings_service import load_settings - - stored = load_settings() - _ENV_SETTINGS_MAP = { - "geminiApiKey": "GEMINI_API_KEY", - "geminiModel": "GEMINI_MODEL", - "meticulousIp": "METICULOUS_IP", - "authorName": "AUTHOR_NAME", - } - for settings_key, env_var in _ENV_SETTINGS_MAP.items(): - stored_value = stored.get(settings_key, "") - # Skip masked/placeholder values (e.g. "********************") - if ( - stored_value - and not os.environ.get(env_var) - and not _is_masked(stored_value) - ): - os.environ[env_var] = stored_value - # Also update s6 container environment so child services see it - _write_s6_env(env_var, stored_value) - logger.info( - "Hydrated %s from stored settings", - env_var, - extra={"source": "settings.json"}, - ) - except Exception as e: - logger.warning("Failed to hydrate settings into environment: %s", e) - - # Start the periodic update checker - logger.info( - f"Starting periodic update checker " - f"(runs on startup and every {UPDATE_CHECK_INTERVAL} seconds)" - ) - update_task = asyncio.create_task(periodic_update_checker()) - - # Restore scheduled shots from persistence - logger.info("Restoring scheduled shots from persistence") - await _restore_scheduled_shots() - - # Load recurring schedules and schedule next occurrences - logger.info("Loading recurring schedules from persistence") - await _load_recurring_schedules() - for schedule_id, schedule in _recurring_schedules.items(): - if schedule.get("enabled", True): - await _schedule_next_recurring(schedule_id, schedule) - - # Start recurring schedule checker (runs every hour to ensure schedules stay current) - recurring_task = asyncio.create_task(_recurring_schedule_checker()) - - # Validate configured Gemini model on startup - try: - from services.gemini_service import get_working_model - - _model = await get_working_model() - logger.info("✅ Using Gemini model: %s", _model) - except Exception as e: - logger.debug("Skipped model validation at startup: %s", e) - - # Start MQTT subscriber for live telemetry - from services.mqtt_service import get_mqtt_subscriber - - mqtt_sub = get_mqtt_subscriber() - mqtt_sub.start(asyncio.get_running_loop()) - - # Clean up any orphaned temp profiles from previous sessions - try: - from services.temp_profile_service import cleanup_stale - - stale_result = await cleanup_stale() - if stale_result.get("deleted", 0) > 0: - logger.info( - "Cleaned %d stale temp profile(s) at startup", - stale_result["deleted"], - ) - except Exception as e: - logger.warning("Failed to clean stale temp profiles at startup: %s", e) - - # Restore dial-in sessions from persistence - try: - from services.dialin_service import _load as load_dialin_sessions - - await load_dialin_sessions() - except Exception as e: - logger.warning("Failed to restore dial-in sessions at startup: %s", e) - - # Pre-warm shot profile index in background (avoids cold-start on first request) - async def _prewarm_shot_index(): - """Build shot→profile index in the background on startup.""" - try: - await asyncio.sleep(5) # Wait for machine connection - from services.cache_service import get_indexed_dates, update_shot_index - from services.meticulous_service import ( - async_get_history_dates, - async_get_shot_files, - fetch_shot_data, - ) - - dates_result = await async_get_history_dates() - if not dates_result or (hasattr(dates_result, "error") and dates_result.error): - return - - dates = [d.name for d in dates_result] - indexed = get_indexed_dates() - new_dates = [d for d in dates if d not in indexed] - if not new_dates: - logger.info("Shot profile index already complete (%d dates)", len(dates)) - return - - logger.info("Pre-warming shot index for %d new dates...", len(new_dates)) - sem = asyncio.Semaphore(15) - - async def _list(date): - async with sem: - try: - r = await async_get_shot_files(date) - return date, [f.name for f in r] if r and not (hasattr(r, "error") and r.error) else [] - except Exception: - return date, [] - - file_results = await asyncio.gather(*[_list(d) for d in new_dates]) - shots_to_scan = [] - for date, files in file_results: - for fn in files: - shots_to_scan.append((date, fn)) - - new_entries = {} - - async def _index(date, filename): - async with sem: - try: - data = await fetch_shot_data(date, filename) - name = data.get("profile_name", "") - if not name and isinstance(data.get("profile"), dict): - name = data["profile"].get("name", "") - pid = data["profile"].get("id", "") if isinstance(data.get("profile"), dict) else "" - entries = data.get("data", []) - w, t = None, None - if entries: - last = entries[-1] - if isinstance(last.get("shot"), dict): - w = last["shot"].get("weight") - t = last.get("time") - new_entries[f"{date}/{filename}"] = { - "name": name, "profile_id": pid, - "weight": w, "time_ms": t, - "timestamp": data.get("time"), - } - except Exception: - pass - - await asyncio.gather(*[_index(d, fn) for d, fn in shots_to_scan]) - if new_entries: - update_shot_index(new_entries, new_dates) - logger.info("Shot index pre-warmed: %d shots across %d dates", len(new_entries), len(new_dates)) - except Exception as e: - logger.warning("Shot index pre-warm failed (non-critical): %s", e) - - shot_index_task = asyncio.create_task(_prewarm_shot_index()) - - yield - - # Cleanup on shutdown - update_task.cancel() - recurring_task.cancel() - shot_index_task.cancel() - try: - await update_task - except asyncio.CancelledError: - logger.info("Periodic update checker stopped") - - try: - await recurring_task - except asyncio.CancelledError: - logger.info("Recurring schedule checker stopped") - - # Cancel all scheduled shot tasks - for task in _scheduled_tasks.values(): - task.cancel() - - # Wait for all tasks to complete - if _scheduled_tasks: - await asyncio.gather(*_scheduled_tasks.values(), return_exceptions=True) - logger.info("All scheduled shot tasks cancelled") - - # Close the singleton httpx client - from services.meticulous_service import close_http_client - - await close_http_client() - - # Stop MQTT subscriber - mqtt_sub.stop() - - -app = FastAPI( - lifespan=lifespan, - # FastAPI 0.132+ rejects JSON bodies without a valid Content-Type header. - # Disable to keep backward-compat with iOS Shortcuts, curl, and other callers. - strict_content_type=False, -) - - -# --------------------------------------------------------------------------- -# Global exception handlers — convert machine-connection errors to 503 -# --------------------------------------------------------------------------- -_MACHINE_UNREACHABLE_MSG = ( - "Espresso machine is unreachable. " - "Check that the machine is powered on and METICULOUS_IP is correct in Settings." -) - - -@app.exception_handler(requests.exceptions.ConnectionError) -async def _requests_connection_error( - _request: Request, exc: requests.exceptions.ConnectionError -): - logger.warning(f"Machine connection failed (requests): {exc}") - return JSONResponse(status_code=503, content={"detail": _MACHINE_UNREACHABLE_MSG}) - - -@app.exception_handler(httpx.ConnectError) -async def _httpx_connect_error(_request: Request, exc: httpx.ConnectError): - logger.warning(f"Machine connection failed (httpx): {exc}") - return JSONResponse(status_code=503, content={"detail": _MACHINE_UNREACHABLE_MSG}) - - -@app.exception_handler(httpx.ConnectTimeout) -async def _httpx_connect_timeout(_request: Request, exc: httpx.ConnectTimeout): - logger.warning(f"Machine connection timed out (httpx): {exc}") - return JSONResponse(status_code=503, content={"detail": _MACHINE_UNREACHABLE_MSG}) - - -# Import route modules -from api.routes import ( # noqa: E402 - coffee, - system, - history, - shots, - profiles, - scheduling, - bridge, - websocket, - commands, - pour_over, - recipes, - dialin, - machine_status, -) - - -# Middleware for request logging and tracking -@app.middleware("http") -async def log_requests(request: Request, call_next): - """Log all requests with context and timing.""" - request_id = str(uuid.uuid4()) - start_time = time.time() - - # Extract request metadata - client_ip = request.client.host if request.client else "unknown" - user_agent = request.headers.get("user-agent", "unknown") - - # Log incoming request - logger.info( - f"Incoming request: {request.method} {request.url.path}", - extra={ - "request_id": request_id, - "endpoint": request.url.path, - "method": request.method, - "client_ip": client_ip, - "user_agent": user_agent, - }, - ) - - # Store request_id in request state for use in endpoints - request.state.request_id = request_id - - try: - response = await call_next(request) - - # Calculate duration - duration_ms = int((time.time() - start_time) * 1000) - - # Log response - logger.info( - f"Request completed: {request.method} {request.url.path} - {response.status_code}", - extra={ - "request_id": request_id, - "endpoint": request.url.path, - "method": request.method, - "status_code": response.status_code, - "duration_ms": duration_ms, - "client_ip": client_ip, - "user_agent": user_agent, - }, - ) - - return response - except Exception as e: - # Calculate duration even for errors - duration_ms = int((time.time() - start_time) * 1000) - - # Log error with full context - logger.error( - f"Request failed: {request.method} {request.url.path} - {str(e)}", - exc_info=True, - extra={ - "request_id": request_id, - "endpoint": request.url.path, - "method": request.method, - "client_ip": client_ip, - "user_agent": user_agent, - "duration_ms": duration_ms, - "error_type": type(e).__name__, - }, - ) - - # Re-raise to let FastAPI handle it - raise - - -# Configure CORS middleware to allow web app interactions. -# allow_credentials=True is incompatible with allow_origins=["*"] per the CORS -# spec (browsers reject it), so credentials are disabled for the wildcard case. -app.add_middleware( - CORSMiddleware, - allow_origins=["*"], - allow_credentials=False, - allow_methods=["*"], - allow_headers=["*"], -) - -# Register API routers -app.include_router(coffee.router) -app.include_router(system.router) -app.include_router(history.router) -app.include_router(shots.router) -app.include_router(profiles.router) -app.include_router(scheduling.router) -app.include_router(bridge.router) -app.include_router(websocket.router) -app.include_router(commands.router) -app.include_router(pour_over.router) -app.include_router(recipes.router) -app.include_router(dialin.router) -app.include_router(machine_status.router) - - -# ============================================================================ -# Imports used by lifespan() -# ============================================================================ -from services.scheduling_state import ( # noqa: E402 - _scheduled_shots, # noqa: F401 — accessed by tests via main._scheduled_shots - _scheduled_tasks, - _recurring_schedules, - restore_scheduled_shots as _restore_scheduled_shots, - load_recurring_schedules as _load_recurring_schedules, -) -from api.routes.profiles import ( # noqa: E402 - _schedule_next_recurring, - _recurring_schedule_checker, -) diff --git a/apps/server/models/__init__.py b/apps/server/models/__init__.py deleted file mode 100644 index bbb6df0d..00000000 --- a/apps/server/models/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Data models for MeticAI server.""" diff --git a/apps/server/models/dialin.py b/apps/server/models/dialin.py deleted file mode 100644 index dcb316be..00000000 --- a/apps/server/models/dialin.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Data models for the Dial-In Guide feature.""" - -from __future__ import annotations - -from datetime import datetime, timezone -from enum import Enum -from typing import Optional - -from pydantic import BaseModel, Field - - -class RoastLevel(str, Enum): - """Coffee roast level.""" - - LIGHT = "light" - MEDIUM_LIGHT = "medium-light" - MEDIUM = "medium" - MEDIUM_DARK = "medium-dark" - DARK = "dark" - - -class CoffeeProcess(str, Enum): - """Coffee processing method.""" - - WASHED = "washed" - NATURAL = "natural" - HONEY = "honey" - ANAEROBIC = "anaerobic" - OTHER = "other" - - -class SessionStatus(str, Enum): - """Dial-in session lifecycle status.""" - - ACTIVE = "active" - COMPLETED = "completed" - ABANDONED = "abandoned" - - -class CoffeeDetails(BaseModel): - """Describes the coffee being dialled in.""" - - roast_level: RoastLevel - origin: Optional[str] = None - process: Optional[CoffeeProcess] = None - roast_date: Optional[str] = None - - -class TasteFeedback(BaseModel): - """User taste feedback from the Espresso Compass widget.""" - - x: float = Field(..., ge=-1, le=1, description="Sour (-1) to Bitter (1)") - y: float = Field(..., ge=-1, le=1, description="Weak (-1) to Strong (1)") - descriptors: list[str] = Field(default_factory=list) - notes: Optional[str] = None - - -class DialInIteration(BaseModel): - """A single shot-taste-adjust iteration within a session.""" - - iteration_number: int - shot_ref: Optional[str] = None - taste: TasteFeedback - recommendations: list[str] = Field(default_factory=list) - timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) - - -class DialInSession(BaseModel): - """A complete dial-in guide session.""" - - id: str - coffee: CoffeeDetails - profile_name: Optional[str] = None - iterations: list[DialInIteration] = Field(default_factory=list) - status: SessionStatus = SessionStatus.ACTIVE - created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) - updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) diff --git a/apps/server/prompt_builder.py b/apps/server/prompt_builder.py deleted file mode 100644 index bd78cdf6..00000000 --- a/apps/server/prompt_builder.py +++ /dev/null @@ -1,1034 +0,0 @@ -""" -Prompt Builder for AI Image Generation - -This module provides a sophisticated prompt architecture for generating -coffee-themed images based on profile names and tags. - -The system combines: -- Core base prompts with safety constraints -- Tag-specific influences (colors, elements, compositions, moods) -- Style modifiers that respect user's art style choice -- Random sub-options for variety across invocations -- Profile name emphasis techniques -""" - -import random -from typing import List, Dict, Optional, Set, Sequence -from dataclasses import dataclass, field - - -@dataclass -class TagInfluence: - """Defines visual influences for a specific tag.""" - - colors: List[str] = field(default_factory=list) - elements: List[str] = field(default_factory=list) - compositions: List[str] = field(default_factory=list) - moods: List[str] = field(default_factory=list) - textures: List[str] = field(default_factory=list) - - -# ============================================================================= -# TAG INFLUENCE MAPPINGS -# ============================================================================= -# Extensible structure - add new tags by adding entries to these dictionaries - -# Roast Level Influences -ROAST_INFLUENCES: Dict[str, TagInfluence] = { - "light": TagInfluence( - colors=["pale gold", "honey amber", "soft cream", "light caramel", "champagne"], - elements=[ - "delicate wisps", - "ethereal light rays", - "morning dew", - "translucent layers", - ], - compositions=["airy open space", "floating elements", "ascending movement"], - moods=["bright", "fresh", "delicate", "awakening"], - textures=["smooth gradients", "soft edges", "gossamer"], - ), - "medium": TagInfluence( - colors=[ - "warm bronze", - "rich amber", - "toasted copper", - "chestnut brown", - "maple", - ], - elements=[ - "balanced forms", - "interlocking shapes", - "flowing curves", - "harmonious patterns", - ], - compositions=["centered balance", "symmetrical arrangement", "golden ratio"], - moods=["balanced", "comforting", "approachable", "harmonious"], - textures=["velvet", "brushed metal", "polished wood grain"], - ), - "dark": TagInfluence( - colors=[ - "deep espresso", - "charcoal black", - "dark chocolate", - "midnight brown", - "obsidian", - ], - elements=[ - "bold shadows", - "dramatic contrasts", - "dense forms", - "powerful shapes", - ], - compositions=["heavy bottom weight", "grounded elements", "strong verticals"], - moods=["intense", "bold", "mysterious", "commanding"], - textures=["rough hewn", "carbon fiber", "volcanic rock"], - ), -} - -# Flavor Note Influences -FLAVOR_INFLUENCES: Dict[str, TagInfluence] = { - "fruity": TagInfluence( - colors=[ - "berry purple", - "citrus orange", - "apple red", - "tropical yellow", - "peach coral", - ], - elements=[ - "organic spheres", - "juice droplets", - "curved petals", - "fruit silhouettes", - ], - compositions=[ - "scattered arrangement", - "bursting from center", - "playful asymmetry", - ], - moods=["vibrant", "joyful", "lively", "refreshing"], - textures=["glossy", "juicy sheen", "organic surfaces"], - ), - "chocolate": TagInfluence( - colors=[ - "cocoa brown", - "dark truffle", - "milk chocolate", - "mocha cream", - "ganache", - ], - elements=["swirling ribbons", "melting forms", "layered depths", "rich pools"], - compositions=["flowing downward", "pooling at base", "cascading layers"], - moods=["indulgent", "luxurious", "comforting", "rich"], - textures=["molten", "silky smooth", "velvety"], - ), - "nutty": TagInfluence( - colors=[ - "hazelnut tan", - "almond beige", - "walnut brown", - "peanut gold", - "pecan amber", - ], - elements=["organic shapes", "shell curves", "natural fragments", "seed forms"], - compositions=["clustered groups", "natural scatter", "grounded arrangement"], - moods=["earthy", "warm", "rustic", "wholesome"], - textures=["rough bark", "shell patterns", "granular"], - ), - "floral": TagInfluence( - colors=[ - "lavender purple", - "rose pink", - "jasmine white", - "hibiscus red", - "chamomile yellow", - ], - elements=[ - "petal shapes", - "botanical curves", - "stamen details", - "garden silhouettes", - ], - compositions=["radiating from center", "upward growth", "organic sprawl"], - moods=["elegant", "delicate", "romantic", "fragrant"], - textures=["soft petals", "dewy surfaces", "silk"], - ), - "spicy": TagInfluence( - colors=[ - "cinnamon red", - "ginger orange", - "cardamom green", - "pepper black", - "clove brown", - ], - elements=["sharp angles", "flame shapes", "dynamic spirals", "pointed forms"], - compositions=["explosive center", "radiating energy", "dynamic movement"], - moods=["energetic", "warm", "exotic", "intense"], - textures=["crystalline", "rough ground spice", "heat shimmer"], - ), - "citrus": TagInfluence( - colors=[ - "lemon yellow", - "lime green", - "orange zest", - "grapefruit pink", - "tangerine", - ], - elements=["segment curves", "zest sprays", "droplet splashes", "wedge shapes"], - compositions=["bright center", "outward splash", "fresh arrangement"], - moods=["zesty", "bright", "invigorating", "clean"], - textures=["bumpy rind", "translucent flesh", "sparkling"], - ), - "caramel": TagInfluence( - colors=[ - "golden caramel", - "butterscotch", - "toffee brown", - "burnt sugar", - "honey amber", - ], - elements=[ - "dripping forms", - "stretched ribbons", - "pooling shapes", - "crystalline edges", - ], - compositions=["flowing downward", "sticky connections", "warm pools"], - moods=["sweet", "indulgent", "warm", "inviting"], - textures=["glossy", "sticky", "crystallized edges"], - ), - "berry": TagInfluence( - colors=[ - "blueberry indigo", - "raspberry pink", - "blackberry purple", - "strawberry red", - "cranberry", - ], - elements=[ - "clustered spheres", - "juice splashes", - "organic clusters", - "seed patterns", - ], - compositions=["grouped clusters", "scattered arrangement", "overflowing"], - moods=["sweet", "tart", "vibrant", "fresh"], - textures=["glossy skin", "juice sheen", "soft flesh"], - ), - "earthy": TagInfluence( - colors=[ - "soil brown", - "moss green", - "clay terracotta", - "stone grey", - "forest floor", - ], - elements=["root shapes", "geological layers", "organic decay", "mineral forms"], - compositions=["grounded base", "layered strata", "deep foundation"], - moods=["grounded", "primal", "natural", "ancient"], - textures=["rough earth", "weathered stone", "organic matter"], - ), - "honey": TagInfluence( - colors=["golden honey", "amber nectar", "honeycomb gold", "bee pollen yellow"], - elements=[ - "hexagonal patterns", - "dripping forms", - "flowing streams", - "cellular grids", - ], - compositions=["structured patterns", "flowing movement", "organic geometry"], - moods=["sweet", "natural", "golden", "precious"], - textures=["viscous", "translucent", "crystalline"], - ), -} - -# Profile Characteristic Influences -CHARACTERISTIC_INFLUENCES: Dict[str, TagInfluence] = { - "acidity": TagInfluence( - colors=["electric yellow", "sharp green", "citrus orange", "bright white"], - elements=[ - "lightning bolts", - "sharp edges", - "angular forms", - "crystalline structures", - ], - compositions=["pointed focus", "high contrast", "dynamic angles"], - moods=["bright", "sharp", "lively", "electric"], - textures=["crisp edges", "faceted", "sparkling"], - ), - "body": TagInfluence( - colors=["deep burgundy", "rich mahogany", "dense brown", "substantial ochre"], - elements=["weighty forms", "solid masses", "grounded shapes", "dense layers"], - compositions=["bottom-heavy", "substantial center", "anchored"], - moods=["full", "substantial", "enveloping", "rich"], - textures=["thick", "viscous", "substantial"], - ), - "bloom": TagInfluence( - colors=["effervescent cream", "bubble white", "foam beige", "rising tan"], - elements=[ - "expanding circles", - "rising bubbles", - "blooming forms", - "opening shapes", - ], - compositions=["upward expansion", "opening outward", "ascending movement"], - moods=["alive", "awakening", "expanding", "fresh"], - textures=["foamy", "airy", "effervescent"], - ), - "sweetness": TagInfluence( - colors=["candy pink", "sugar white", "cotton candy", "soft peach"], - elements=["soft curves", "rounded forms", "gentle waves", "plush shapes"], - compositions=["soft focus", "gentle arrangement", "welcoming openness"], - moods=["sweet", "gentle", "pleasant", "inviting"], - textures=["soft", "pillowy", "smooth"], - ), - "complexity": TagInfluence( - colors=["layered gradients", "shifting hues", "iridescent", "multichromatic"], - elements=[ - "interwoven patterns", - "nested shapes", - "fractal elements", - "layered depths", - ], - compositions=["multiple focal points", "depth layers", "intricate arrangement"], - moods=["sophisticated", "intriguing", "multifaceted", "deep"], - textures=["layered", "multidimensional", "intricate"], - ), - "clarity": TagInfluence( - colors=["crystal clear", "pure white", "glass blue", "transparent"], - elements=["clean lines", "defined edges", "simple forms", "precise geometry"], - compositions=["uncluttered space", "clear hierarchy", "minimal arrangement"], - moods=["pure", "clean", "transparent", "precise"], - textures=["glass-like", "polished", "pristine"], - ), -} - -# Processing Method Influences -PROCESSING_INFLUENCES: Dict[str, TagInfluence] = { - "washed": TagInfluence( - colors=["clean blue", "pure white", "crystal clear", "fresh green"], - elements=["water droplets", "clean lines", "flowing streams", "pristine forms"], - compositions=["clean arrangement", "clear separation", "defined boundaries"], - moods=["clean", "pure", "refined", "precise"], - textures=["polished", "smooth", "wet sheen"], - ), - "natural": TagInfluence( - colors=["sun-dried amber", "fruit red", "wild berry", "organic brown"], - elements=["sun rays", "dried textures", "fruit forms", "organic shapes"], - compositions=["natural scatter", "sun-touched", "organic flow"], - moods=["wild", "fruity", "natural", "sun-kissed"], - textures=["dried", "sun-baked", "natural grain"], - ), - "honey": TagInfluence( - colors=["sticky amber", "mucilage gold", "sweet brown", "nectar yellow"], - elements=["sticky threads", "dripping forms", "viscous flows", "sweet pools"], - compositions=["connected elements", "flowing transitions", "sticky bonds"], - moods=["sweet", "complex", "sticky", "layered"], - textures=["mucilaginous", "sticky", "semi-dried"], - ), -} - -# Origin Influences -ORIGIN_INFLUENCES: Dict[str, TagInfluence] = { - "ethiopian": TagInfluence( - colors=["wild berry purple", "jasmine white", "highland green", "ancient gold"], - elements=[ - "coffee cherry shapes", - "ancient patterns", - "wild flora", - "heritage symbols", - ], - compositions=[ - "birthplace reverence", - "wild natural arrangement", - "ancient geometry", - ], - moods=["ancestral", "wild", "floral", "exotic"], - textures=["ancient stone", "wild growth", "heritage"], - ), - "colombian": TagInfluence( - colors=["emerald green", "mountain blue", "coffee cherry red", "andean gold"], - elements=[ - "mountain peaks", - "terraced hillsides", - "lush vegetation", - "altitude symbols", - ], - compositions=[ - "ascending layers", - "mountain silhouettes", - "terraced arrangement", - ], - moods=["balanced", "approachable", "classic", "reliable"], - textures=["mountain mist", "fertile soil", "lush green"], - ), - "brazilian": TagInfluence( - colors=["sunset orange", "nutty brown", "chocolate", "tropical yellow"], - elements=["sun shapes", "vast horizons", "bold forms", "tropical elements"], - compositions=["expansive arrangement", "bold presence", "substantial forms"], - moods=["bold", "nutty", "substantial", "warm"], - textures=["sun-warmed", "substantial", "smooth"], - ), - "kenyan": TagInfluence( - colors=[ - "bright tomato red", - "citrus yellow", - "black currant purple", - "savanna gold", - ], - elements=[ - "bold punctuation", - "bright splashes", - "African patterns", - "wildlife silhouettes", - ], - compositions=["bright focal points", "bold contrast", "dynamic arrangement"], - moods=["bright", "bold", "complex", "striking"], - textures=["juicy", "vibrant", "bold"], - ), - "guatemalan": TagInfluence( - colors=["volcanic grey", "chocolate brown", "spice red", "ancient jade"], - elements=["volcanic forms", "ancient motifs", "smoke wisps", "temple geometry"], - compositions=["dramatic depth", "ancient proportion", "smoky layers"], - moods=["complex", "smoky", "ancient", "dramatic"], - textures=["volcanic", "ancient stone", "smoky"], - ), - "indonesian": TagInfluence( - colors=["earthy brown", "spice orange", "forest green", "island blue"], - elements=[ - "island shapes", - "spice forms", - "tropical foliage", - "monsoon patterns", - ], - compositions=["layered depth", "island clusters", "tropical arrangement"], - moods=["earthy", "exotic", "full-bodied", "mysterious"], - textures=["earthy", "tropical", "monsoon-touched"], - ), -} - -# Technique/Style Influences -TECHNIQUE_INFLUENCES: Dict[str, TagInfluence] = { - "espresso": TagInfluence( - colors=[ - "crema gold", - "espresso black", - "tiger stripe amber", - "pressure bronze", - ], - elements=[ - "pressure gauges", - "extraction streams", - "crema swirls", - "portafilter shapes", - ], - compositions=["concentrated center", "downward flow", "pressure focus"], - moods=["intense", "concentrated", "precise", "powerful"], - textures=["crema foam", "oily sheen", "dense liquid"], - ), - "pour-over": TagInfluence( - colors=["clarity amber", "bloom cream", "filter paper white", "gentle brown"], - elements=[ - "spiral patterns", - "blooming circles", - "gentle streams", - "cone shapes", - ], - compositions=["centered spiral", "gentle descent", "meditative arrangement"], - moods=["meditative", "precise", "patient", "delicate"], - textures=["paper texture", "gentle flow", "clear liquid"], - ), - "cold brew": TagInfluence( - colors=["ice blue", "cold black", "refreshing amber", "frost white"], - elements=["ice crystals", "slow drips", "cold condensation", "time symbols"], - compositions=["vertical descent", "patient layers", "cool arrangement"], - moods=["refreshing", "patient", "smooth", "cool"], - textures=["icy", "smooth", "condensation"], - ), - "modern": TagInfluence( - colors=["minimalist white", "tech silver", "innovation blue", "clean grey"], - elements=[ - "geometric precision", - "clean lines", - "modern curves", - "tech elements", - ], - compositions=["grid-based", "precise spacing", "contemporary balance"], - moods=["innovative", "clean", "forward-thinking", "precise"], - textures=["polished metal", "matte surfaces", "precision edges"], - ), - "traditional": TagInfluence( - colors=["heritage brown", "antique gold", "classic cream", "warm sepia"], - elements=[ - "vintage motifs", - "classic shapes", - "heritage patterns", - "time-worn forms", - ], - compositions=[ - "classic proportion", - "time-honored arrangement", - "balanced tradition", - ], - moods=["nostalgic", "classic", "timeless", "warm"], - textures=["aged patina", "worn wood", "classic materials"], - ), -} - - -# ============================================================================= -# STYLE MODIFIERS -# These enhance the base style chosen by the user -# ============================================================================= - -STYLE_MODIFIERS: Dict[str, Dict[str, List[str]]] = { - "abstract": { - "techniques": [ - "non-representational forms", - "emotional color fields", - "gestural marks", - "pure abstraction", - ], - "artists": [ - "inspired by Kandinsky", - "Rothko-esque color depth", - "Pollock energy", - "Mondrian geometry", - ], - "approaches": [ - "deconstructed reality", - "essence over appearance", - "emotional interpretation", - "pure visual rhythm", - ], - }, - "minimalist": { - "techniques": [ - "negative space emphasis", - "essential forms only", - "reductive approach", - "stark simplicity", - ], - "artists": [ - "Malevich inspired", - "Agnes Martin subtlety", - "Donald Judd precision", - ], - "approaches": [ - "less is more", - "purposeful emptiness", - "quiet power", - "essential expression", - ], - }, - "pixel-art": { - "techniques": [ - "deliberate pixelation", - "limited color palette", - "retro game aesthetic", - "8-bit charm", - ], - "artists": ["classic arcade style", "indie game art", "demoscene influence"], - "approaches": [ - "nostalgic digital", - "precise pixel placement", - "retro-futurism", - "digital mosaic", - ], - }, - "watercolor": { - "techniques": [ - "wet-on-wet bleeding", - "organic color spread", - "paper texture visible", - "transparent layers", - ], - "artists": [ - "Turner atmospheric", - "Sargent fluidity", - "Winslow Homer naturalism", - ], - "approaches": [ - "controlled accidents", - "luminous transparency", - "soft edge bleeding", - "natural flow", - ], - }, - "modern": { - "techniques": [ - "contemporary digital art", - "clean vector lines", - "bold graphic design", - "modern illustration", - ], - "artists": [ - "contemporary design", - "modern poster art", - "digital illustration masters", - ], - "approaches": [ - "fresh perspective", - "current aesthetics", - "bold simplification", - "graphic impact", - ], - }, - "vintage": { - "techniques": [ - "aged color palette", - "retro printing effects", - "nostalgic grain", - "period-accurate style", - ], - "artists": ["art deco influence", "mid-century modern", "vintage poster art"], - "approaches": [ - "timeless quality", - "nostalgic warmth", - "classic craftsmanship", - "heritage aesthetic", - ], - }, -} - - -# ============================================================================= -# PROFILE NAME EMPHASIS TECHNIQUES -# Ways to make the profile name concept central to the image -# ============================================================================= - -PROFILE_EMPHASIS_TECHNIQUES: List[str] = [ - "as the dominant central subject", - "expressed through symbolic visual metaphor", - "manifested as the core visual element", - "represented through evocative imagery", - "interpreted as an abstract visual concept", - "translated into powerful visual symbolism", - "embodied in the composition's focal point", - "expressed through color and form", - "as the driving visual narrative", - "captured in abstract essence", -] - - -# ============================================================================= -# CORE PROMPT ELEMENTS -# ============================================================================= - -CORE_SAFETY_CONSTRAINTS: List[str] = [ - "The image must contain absolutely no text, words, letters, numbers, labels, watermarks, signatures, or typography of any kind — purely visual art only.", - "No realistic human faces.", - "Abstract artistic interpretation.", -] - -CORE_COFFEE_THEMES: List[str] = [ - "coffee and espresso essence", - "brewing artistry", - "coffee culture aesthetic", - "espresso craft", - "coffee bean origins", - "the ritual of coffee", - "coffee as art form", -] - -COMPOSITION_ENHANCERS: List[str] = [ - "visually striking composition", - "dynamic visual balance", - "harmonious arrangement", - "compelling focal point", - "artistic visual flow", - "engaging visual hierarchy", - "powerful visual presence", -] - - -# ============================================================================= -# PROMPT BUILDER CLASS -# ============================================================================= - - -class PromptBuilder: - """ - Builds varied, tag-influenced prompts for coffee-themed image generation. - - Each invocation produces different results through random selection - of sub-options while maintaining relevance to the profile and tags. - """ - - def __init__(self, profile_name: str, style: str, tags: List[str]): - self.profile_name = profile_name - self.style = style.lower() - self.tags = [tag.lower().strip() for tag in tags] - self.collected_influences: List[TagInfluence] = [] - - def _collect_influences(self) -> None: - """Gather all relevant influences based on tags.""" - self.collected_influences = [] - - for tag in self.tags: - # Check each influence dictionary - for influence_dict in [ - ROAST_INFLUENCES, - FLAVOR_INFLUENCES, - CHARACTERISTIC_INFLUENCES, - PROCESSING_INFLUENCES, - ORIGIN_INFLUENCES, - TECHNIQUE_INFLUENCES, - ]: - # Check for exact match or partial match - for key, influence in influence_dict.items(): - if key in tag or tag in key: - self.collected_influences.append(influence) - break - - # If no influences found, add some defaults - if not self.collected_influences: - self.collected_influences.append( - FLAVOR_INFLUENCES.get("caramel", TagInfluence()) - ) - self.collected_influences.append( - TECHNIQUE_INFLUENCES.get("espresso", TagInfluence()) - ) - - def _random_select(self, items: List[str], count: int = 1) -> List[str]: - """Randomly select items from a list.""" - if not items: - return [] - count = min(count, len(items)) - return random.sample(items, count) - - def _gather_from_influences(self, attribute: str, count: int = 2) -> List[str]: - """Gather random items from a specific attribute across all influences.""" - all_items: Set[str] = set() - for influence in self.collected_influences: - items = getattr(influence, attribute, []) - all_items.update(items) - return self._random_select(list(all_items), count) - - def _get_style_modifiers(self) -> List[str]: - """Get random style modifiers for the chosen art style.""" - style_data = STYLE_MODIFIERS.get(self.style, STYLE_MODIFIERS["abstract"]) - modifiers = [] - - for category, options in style_data.items(): - selected = self._random_select(options, 1) - modifiers.extend(selected) - - return modifiers - - def build(self) -> str: - """ - Build the complete prompt with randomized elements. - - Returns: - A fully constructed prompt string optimized for image generation. - """ - self._collect_influences() - - # Gather randomized elements from influences - colors = self._gather_from_influences("colors", 2) - elements = self._gather_from_influences("elements", 2) - compositions = self._gather_from_influences("compositions", 1) - moods = self._gather_from_influences("moods", 2) - textures = self._gather_from_influences("textures", 1) - - # Get style modifiers - style_modifiers = self._get_style_modifiers() - - # Random selections from core elements - coffee_theme = self._random_select(CORE_COFFEE_THEMES, 1)[0] - composition_enhancer = self._random_select(COMPOSITION_ENHANCERS, 1)[0] - profile_emphasis = self._random_select(PROFILE_EMPHASIS_TECHNIQUES, 1)[0] - - # Build the prompt sections - prompt_parts = [] - - # 0. Strong no-text directive up front for maximum model adherence - prompt_parts.append( - "IMPORTANT: Generate an image with absolutely no text, words, letters, numbers, or typography of any kind" - ) - - # 1. Profile name as central concept - prompt_parts.append(f'"{self.profile_name}" {profile_emphasis}') - - # 2. Art style with modifiers - prompt_parts.append(f"{self.style} art style, {', '.join(style_modifiers)}") - - # 3. Color palette from influences - if colors: - prompt_parts.append(f"color palette featuring {', '.join(colors)}") - - # 4. Visual elements from influences - if elements: - prompt_parts.append(f"incorporating {', '.join(elements)}") - - # 5. Mood and atmosphere - if moods: - prompt_parts.append(f"{', '.join(moods)} atmosphere") - - # 6. Composition guidance - if compositions: - prompt_parts.append(compositions[0]) - prompt_parts.append(composition_enhancer) - - # 7. Texture hints - if textures: - prompt_parts.append(f"{textures[0]} textures") - - # 8. Coffee theme connection - prompt_parts.append(f"evoking {coffee_theme}") - - # 9. Format requirement - prompt_parts.append("square format") - - # 10. Safety constraints - prompt_parts.extend(CORE_SAFETY_CONSTRAINTS) - - # Combine all parts - full_prompt = ". ".join(prompt_parts) - - return full_prompt - - def build_with_metadata(self) -> Dict: - """ - Build prompt and return with metadata about what was selected. - - Useful for debugging and understanding prompt construction. - """ - self._collect_influences() - - colors = self._gather_from_influences("colors", 2) - elements = self._gather_from_influences("elements", 2) - moods = self._gather_from_influences("moods", 2) - - prompt = self.build() - - return { - "prompt": prompt, - "metadata": { - "profile_name": self.profile_name, - "style": self.style, - "tags_used": self.tags, - "influences_found": len(self.collected_influences), - "selected_colors": colors, - "selected_elements": elements, - "selected_moods": moods, - }, - } - - -def build_image_prompt(profile_name: str, style: str, tags: List[str]) -> str: - """ - Convenience function to build an image generation prompt. - - Args: - profile_name: The name of the coffee profile - style: The art style (abstract, minimalist, pixel-art, etc.) - tags: List of tags associated with the profile - - Returns: - A complete prompt string for image generation - """ - builder = PromptBuilder(profile_name, style, tags) - return builder.build() - - -def build_image_prompt_with_metadata( - profile_name: str, style: str, tags: List[str] -) -> Dict: - """ - Build a prompt and return with construction metadata. - - Args: - profile_name: The name of the coffee profile - style: The art style - tags: List of tags associated with the profile - - Returns: - Dictionary with prompt and metadata - """ - builder = PromptBuilder(profile_name, style, tags) - return builder.build_with_metadata() - - -# ============================================================================= -# TASTE COMPASS — Espresso Compass prompt context -# ============================================================================= - - -def _describe_axis_value(value: float, negative_label: str, positive_label: str) -> str: - """Convert a -1..1 axis value to a human-readable description.""" - abs_val = abs(value) - if abs_val < 0.15: - return "Balanced" - if abs_val < 0.4: - intensity = "Slightly" - elif abs_val < 0.7: - intensity = "Moderately" - else: - intensity = "Very" - direction = positive_label if value > 0 else negative_label - return f"{intensity} {direction}" - - -def build_taste_context( - taste_x: float | None, - taste_y: float | None, - taste_descriptors: list[str] | None, -) -> str: - """Build taste feedback context for the analysis prompt. - - Args: - taste_x: -1 (sour) to 1 (bitter), or None - taste_y: -1 (weak/thin) to 1 (strong/heavy), or None - taste_descriptors: optional list of taste descriptor strings - - Returns: - A prompt section string, or empty string when no data is present. - """ - has_coords = taste_x is not None and taste_y is not None - has_descriptors = bool(taste_descriptors) - - if not has_coords and not has_descriptors: - return "" - - lines: List[str] = [ - "", - "## User Taste Feedback (Espresso Compass)", - "The user reports this shot tasted:", - ] - - if has_coords: - balance_desc = _describe_axis_value(taste_x, "Sour", "Bitter") - body_desc = _describe_axis_value(taste_y, "Weak/Thin", "Strong/Heavy") - lines.append(f"- Balance: {balance_desc} (X: {taste_x:.2f})") - lines.append(f"- Body: {body_desc} (Y: {taste_y:.2f})") - - if has_descriptors: - lines.append(f"- Descriptors: {', '.join(taste_descriptors)}") - - lines.append("") - lines.append("### Espresso Compass Domain Knowledge") - lines.append( - "- Sour (negative X) typically indicates under-extraction → increase temperature, pressure, or contact time" - ) - lines.append( - "- Bitter (positive X) typically indicates over-extraction → decrease temperature, pressure, or contact time" - ) - lines.append( - "- Weak/Thin (negative Y) → increase dose or decrease water volume (lower ratio)" - ) - lines.append( - "- Strong/Heavy (positive Y) → decrease dose or increase water volume (higher ratio)" - ) - lines.append( - "- Quadrant: Sour + Weak = severely under-extracted, needs major grind/temp adjustment" - ) - lines.append( - "- Quadrant: Sour + Strong = high-dose under-extraction, grind finer or increase temp" - ) - lines.append( - "- Quadrant: Bitter + Weak = channeling likely, improve puck prep and lower temp" - ) - lines.append( - "- Quadrant: Bitter + Strong = over-extracted and over-dosed, coarsen grind and reduce dose" - ) - lines.append("") - lines.append( - "Based on this taste feedback, include a '## 6. Taste-Based Recommendations' section in your analysis that:" - ) - lines.append("1. Correlates the taste perception with the extraction data") - lines.append("2. Suggests specific variable adjustments to address taste issues") - lines.append("3. Explains the coffee science behind the recommendations") - - return "\n".join(lines) - - -# ============================================================================ -# Dial-In Guide prompt -# ============================================================================ - - -def build_dialin_recommendation_prompt( - *, - roast_level: str, - origin: Optional[str] = None, - process: Optional[str] = None, - roast_date: Optional[str] = None, - profile_name: Optional[str] = None, - iterations: Sequence[Dict] = (), -) -> str: - """Build a prompt asking the AI for dial-in adjustment recommendations. - - Each element of *iterations* is expected to contain at least - ``taste`` (with ``x``, ``y``, ``descriptors``) and ``iteration_number``. - """ - lines: List[str] = [ - "# Espresso Dial-In Recommendation", - "", - "You are an expert barista helping the user dial in a new bag of coffee.", - "Analyse the coffee details and all taste-feedback iterations below,", - "then provide **concrete, actionable** adjustment recommendations.", - "", - "## Coffee Details", - f"- Roast level: {roast_level}", - ] - - if origin: - lines.append(f"- Origin: {origin}") - if process: - lines.append(f"- Process: {process}") - if roast_date: - lines.append(f"- Roast date: {roast_date}") - if profile_name: - lines.append(f"- Profile: {profile_name}") - - if iterations: - lines.append("") - lines.append("## Taste Iteration History") - for it in iterations: - taste = it.get("taste", {}) - num = it.get("iteration_number", "?") - balance_desc = _describe_axis_value(taste.get("x", 0), "Sour", "Bitter") - body_desc = _describe_axis_value( - taste.get("y", 0), "Weak/Thin", "Strong/Heavy" - ) - lines.append(f"### Iteration {num}") - lines.append(f"- Balance: {balance_desc} (X: {taste.get('x', 0):.2f})") - lines.append(f"- Body: {body_desc} (Y: {taste.get('y', 0):.2f})") - descriptors = taste.get("descriptors", []) - if descriptors: - lines.append(f"- Descriptors: {', '.join(descriptors)}") - notes = taste.get("notes") - if notes: - lines.append(f"- Notes: {notes}") - prev_recs = it.get("recommendations", []) - if prev_recs: - lines.append(f"- Previous recommendations: {'; '.join(prev_recs)}") - - lines.append("") - lines.append("## Instructions") - lines.append( - "Return a JSON object with a single key `recommendations` whose value is" - ) - lines.append("an array of short, actionable recommendation strings (max 6).") - lines.append( - "Each recommendation should be a single sentence describing one specific" - ) - lines.append("adjustment (e.g. 'Grind 2 steps finer', 'Reduce dose by 0.5 g').") - lines.append( - "Consider the full iteration history to track progress and avoid repeating" - ) - lines.append( - "adjustments that did not help. Base your reasoning on extraction science:" - ) - lines.append( - "- Sour → under-extracted → finer grind, higher temp, longer pre-infusion" - ) - lines.append( - "- Bitter → over-extracted → coarser grind, lower temp, shorter contact" - ) - lines.append("- Weak → increase dose or decrease yield") - lines.append("- Strong → decrease dose or increase yield") - - return "\n".join(lines) diff --git a/apps/server/pytest.ini b/apps/server/pytest.ini deleted file mode 100644 index 40f2b6ea..00000000 --- a/apps/server/pytest.ini +++ /dev/null @@ -1,17 +0,0 @@ -[pytest] -testpaths = . -python_files = test_*.py -python_classes = Test* -python_functions = test_* -asyncio_mode = auto -asyncio_default_fixture_loop_scope = function -addopts = - -v - --strict-markers - --tb=short - --disable-warnings - --timeout=30 -markers = - slow: marks tests as slow (deselect with '-m "not slow"') - integration: marks tests as integration tests - unit: marks tests as unit tests diff --git a/apps/server/requirements-test.txt b/apps/server/requirements-test.txt deleted file mode 100644 index 70a4ab27..00000000 --- a/apps/server/requirements-test.txt +++ /dev/null @@ -1,8 +0,0 @@ --r requirements.txt -pytest>=9.0.3 -pytest-asyncio>=1.3.0 -pytest-cov>=7.1.0 -pytest-timeout>=2.4.0 - -# Optional: for MQTT integration tests -paho-mqtt>=2.1.0 diff --git a/apps/server/requirements.txt b/apps/server/requirements.txt deleted file mode 100644 index d3e9691d..00000000 --- a/apps/server/requirements.txt +++ /dev/null @@ -1,11 +0,0 @@ -fastapi==0.138.2 -uvicorn==0.47.0 -google-genai>=2.9.0 -pillow>=12.2.0 -pillow-heif>=1.3.0 -python-multipart==0.0.32 -pyMeticulous>=0.3.1 -zstandard>=0.25.0 -httpx==0.28.1 -sse-starlette==3.4.5 -zeroconf==0.150.0 diff --git a/apps/server/services/__init__.py b/apps/server/services/__init__.py deleted file mode 100644 index b0635057..00000000 --- a/apps/server/services/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Services layer for MeticAI server.""" diff --git a/apps/server/services/ai_providers.py b/apps/server/services/ai_providers.py deleted file mode 100644 index 783a65e2..00000000 --- a/apps/server/services/ai_providers.py +++ /dev/null @@ -1,453 +0,0 @@ -"""OpenAI-compatible AI provider support for server mode (#491 PR3). - -Mirrors the web/native provider registry -(``apps/web/src/services/ai/providers/providerRegistry.ts`` + -``OpenAICompatProvider.ts``) so that server/proxy deployments can use a -non-Gemini, OpenAI-compatible LLM (OpenAI, DeepSeek, Kimi, OpenRouter) in -addition to Gemini. - -The Gemini path remains handled by ``gemini_service`` via the official SDK and -is intentionally left untouched. This module only implements the generic -OpenAI-compatible chat-completions path used when ``AI_PROVIDER`` selects a -non-Gemini provider. - -Environment variables (non-Gemini providers): -- ``AI_PROVIDER`` active provider id (``gemini`` | ``openai`` | ``deepseek`` | - ``kimi`` | ``openrouter``). Defaults to ``gemini``. -- ``AI_API_KEY`` API key for the active non-Gemini provider. -- ``AI_MODEL`` model id for the active non-Gemini provider (optional; - falls back to the provider default). -""" - -import asyncio -import base64 -import io -import os -from typing import Optional - -import httpx - -from logging_config import get_logger - -logger = get_logger() - -DEFAULT_PROVIDER = "gemini" - -# Provider descriptors mirror the web registry. ``gemini`` is listed for -# completeness/validation but is served by gemini_service, not this module. -PROVIDERS: dict[str, dict] = { - "gemini": { - "label": "Google Gemini", - "base_url": None, - "vision": True, - "default_model": "gemini-2.5-flash", - }, - "openai": { - "label": "OpenAI", - "base_url": "https://api.openai.com/v1", - "vision": True, - "default_model": "gpt-4o-mini", - "image_gen": { - "endpoint": "openai-images", - "models": ["gpt-image-1", "dall-e-3"], - }, - }, - "deepseek": { - "label": "DeepSeek", - "base_url": "https://api.deepseek.com/v1", - "vision": False, - "default_model": "deepseek-chat", - }, - "kimi": { - "label": "Kimi (Moonshot)", - "base_url": "https://api.moonshot.ai/v1", - "vision": False, - "default_model": "kimi-k2-0905-preview", - }, - "openrouter": { - "label": "OpenRouter", - "base_url": "https://openrouter.ai/api/v1", - "vision": True, - "default_model": "openai/gpt-4o-mini", - "image_gen": { - "endpoint": "openrouter-images", - "models": ["google/gemini-2.5-flash-image"], - }, - }, -} - -# Request timeout for provider HTTP calls (seconds). -_HTTP_TIMEOUT = 300.0 - - -class ProviderError(RuntimeError): - """Raised when an OpenAI-compatible provider request fails.""" - - -class ProviderImageError(ProviderError): - """Raised when an OpenAI-compatible image-generation request fails. - - Carries the HTTP ``status_code`` (when available) so the caller can decide - whether to fall back to the next configured image model (auth/availability - errors) or surface the failure immediately. - """ - - def __init__(self, status_code: Optional[int], message: str): - super().__init__(message) - self.status_code = status_code - - -def get_active_provider_id() -> str: - """Return the configured active provider id, defaulting to ``gemini``. - - Reads ``AI_PROVIDER`` from the environment on every call so hot-reloaded - service restarts pick up changes. Unknown values fall back to the default. - """ - value = os.environ.get("AI_PROVIDER", "").strip().lower() - if value in PROVIDERS: - return value - return DEFAULT_PROVIDER - - -def is_gemini_active() -> bool: - """Return True when the active provider is Gemini (the SDK path).""" - return get_active_provider_id() == "gemini" - - -def get_provider_descriptor(provider_id: Optional[str] = None) -> dict: - """Return the descriptor for ``provider_id`` (or the active provider).""" - pid = provider_id or get_active_provider_id() - return PROVIDERS.get(pid, PROVIDERS[DEFAULT_PROVIDER]) - - -def get_provider_api_key(provider_id: Optional[str] = None) -> str: - """Return the API key for the given provider from the environment. - - Gemini uses ``GEMINI_API_KEY``; every other provider uses ``AI_API_KEY``. - """ - pid = provider_id or get_active_provider_id() - if pid == "gemini": - return os.environ.get("GEMINI_API_KEY", "").strip() - return os.environ.get("AI_API_KEY", "").strip() - - -def get_provider_model(provider_id: Optional[str] = None) -> str: - """Return the configured model id for the given provider. - - Gemini reads ``GEMINI_MODEL`` (handled in gemini_service); other providers - read ``AI_MODEL`` and fall back to the provider's default model. - """ - pid = provider_id or get_active_provider_id() - descriptor = get_provider_descriptor(pid) - if pid == "gemini": - value = os.environ.get("GEMINI_MODEL", "").strip() - return value or descriptor["default_model"] - value = os.environ.get("AI_MODEL", "").strip() - return value or descriptor["default_model"] - - -def is_provider_available(provider_id: Optional[str] = None) -> bool: - """Return True when an API key is configured for the active provider.""" - return bool(get_provider_api_key(provider_id)) - - -def provider_supports_image(provider_id: Optional[str] = None) -> bool: - """Return True when the provider can generate images (#505). - - Gemini generates via the native SDK (handled in the image route); the - OpenAI-compatible providers (OpenAI, OpenRouter) carry an ``image_gen`` - descriptor. Text-only providers (DeepSeek, Kimi) return False. - """ - pid = provider_id or get_active_provider_id() - if pid == "gemini": - return True - return "image_gen" in get_provider_descriptor(pid) - - -def _image_headers(provider_id: str) -> dict[str, str]: - api_key = get_provider_api_key(provider_id) - if not api_key: - raise ProviderError(f"No API key configured for provider '{provider_id}'.") - headers = { - "Authorization": f"Bearer {api_key}", - "Content-Type": "application/json", - } - if provider_id == "openrouter": - headers["HTTP-Referer"] = "https://github.com/hessius/MeticAI" - headers["X-Title"] = "Metic" - return headers - - -def _request_image_sync( - provider_id: str, endpoint: str, model: str, prompt: str, base_url: str -) -> bytes: - """Call a single OpenAI-compatible image endpoint and return raw bytes. - - OpenAI uses ``POST /images/generations``; OpenRouter a dedicated - ``POST /images``. Both return base64 in ``data[0].b64_json``. - """ - if endpoint == "openai-images": - path = "/images/generations" - payload: dict = {"model": model, "prompt": prompt, "n": 1, "size": "1024x1024"} - # gpt-image-1 always returns base64 and rejects response_format; the - # dall-e-* models default to a remote URL and need it to return base64. - if not model.startswith("gpt-image"): - payload["response_format"] = "b64_json" - else: - path = "/images" - payload = {"model": model, "prompt": prompt} - - try: - with httpx.Client(timeout=_HTTP_TIMEOUT) as client: - resp = client.post( - f"{base_url}{path}", - headers=_image_headers(provider_id), - json=payload, - ) - except httpx.HTTPError as exc: - raise ProviderImageError( - None, f"Request to {provider_id} failed: {exc}" - ) from exc - - if resp.status_code >= 400: - raise ProviderImageError( - resp.status_code, - f"{provider_id} image gen returned {resp.status_code}: {resp.text[:500]}", - ) - - try: - data = resp.json() - item = (data.get("data") or [])[0] - b64 = item.get("b64_json") - except (KeyError, IndexError, TypeError, ValueError): - b64 = None - if not b64: - raise ProviderImageError(None, f"No image returned by {provider_id}") - return base64.b64decode(b64) - - -def _generate_image_bytes_sync(prompt: str, provider_id: str) -> bytes: - descriptor = get_provider_descriptor(provider_id) - cfg = descriptor.get("image_gen") - if not cfg: - raise ProviderError( - f"Provider '{provider_id}' does not support image generation." - ) - base_url = descriptor["base_url"] - models = cfg["models"] - last_exc: Optional[ProviderImageError] = None - for index, model in enumerate(models): - try: - return _request_image_sync( - provider_id, cfg["endpoint"], model, prompt, base_url - ) - except ProviderImageError as exc: - last_exc = exc - is_last = index == len(models) - 1 - # Only fall through to the next model on auth/availability errors - # (e.g. gpt-image-1 → dall-e-3 when the org isn't verified). - recoverable = exc.status_code in (401, 403, 404) - if is_last or not recoverable: - raise - if last_exc: - raise last_exc - raise ProviderError(f"Image generation failed for provider '{provider_id}'.") - - -async def generate_image_bytes(prompt: str, provider_id: Optional[str] = None) -> bytes: - """Generate an image via an OpenAI-compatible provider (#505). - - Returns raw image bytes (PNG/JPEG/WebP). Tries the provider's configured - image models in order so OpenAI can fall back from ``gpt-image-1`` to - ``dall-e-3``. Raises :class:`ProviderError` on failure. - """ - pid = provider_id or get_active_provider_id() - return await asyncio.to_thread(_generate_image_bytes_sync, prompt, pid) - - -def _image_to_data_url(image) -> str: - """Encode a PIL image as a base64 PNG data URL for vision messages.""" - buffer = io.BytesIO() - fmt = (getattr(image, "format", None) or "PNG").upper() - if fmt not in ("PNG", "JPEG", "WEBP"): - fmt = "PNG" - image.save(buffer, format=fmt) - mime = {"PNG": "image/png", "JPEG": "image/jpeg", "WEBP": "image/webp"}[fmt] - encoded = base64.b64encode(buffer.getvalue()).decode("ascii") - return f"data:{mime};base64,{encoded}" - - -def _contents_to_messages(contents, vision: bool) -> list[dict]: - """Translate Gemini-style ``contents`` into OpenAI chat messages. - - Server callers pass a string, or a (possibly nested) list mixing strings - and PIL images. Everything is collapsed into a single user message. When the - provider supports vision, PIL images become ``image_url`` parts; otherwise - they are dropped (text-only providers cannot accept images). - """ - # Normalise to a flat list of parts. - if isinstance(contents, (str, bytes)): - parts = [contents] - elif isinstance(contents, list): - parts = [] - for item in contents: - if isinstance(item, list): - parts.extend(item) - else: - parts.append(item) - else: - parts = [contents] - - text_chunks: list[str] = [] - image_urls: list[str] = [] - for part in parts: - if part is None: - continue - if isinstance(part, str): - text_chunks.append(part) - elif hasattr(part, "save") and hasattr(part, "size"): - # PIL image-like object. - if vision: - image_urls.append(_image_to_data_url(part)) - else: - logger.warning( - "Active provider does not support image input; dropping image" - ) - else: - text_chunks.append(str(part)) - - joined_text = "\n\n".join(c for c in text_chunks if c) - - if image_urls: - content: list[dict] = [] - if joined_text: - content.append({"type": "text", "text": joined_text}) - for url in image_urls: - content.append({"type": "image_url", "image_url": {"url": url}}) - return [{"role": "user", "content": content}] - - return [{"role": "user", "content": joined_text}] - - -class _OpenAICompatResponse: - """Minimal response object exposing ``.text`` like the Gemini wrapper.""" - - def __init__(self, text: str): - self.text = text - - -class OpenAICompatModel: - """Generate text via an OpenAI-compatible ``/chat/completions`` endpoint. - - Provides the same ``generate_content`` / ``async_generate_content`` - interface as ``gemini_service._GeminiModelWrapper`` so existing call sites - work unchanged. - """ - - def __init__(self, provider_id: Optional[str] = None): - self._provider_id = provider_id or get_active_provider_id() - self._descriptor = get_provider_descriptor(self._provider_id) - - def _headers(self) -> dict[str, str]: - api_key = get_provider_api_key(self._provider_id) - if not api_key: - raise ProviderError( - f"No API key configured for provider '{self._provider_id}'." - ) - headers = { - "Authorization": f"Bearer {api_key}", - "Content-Type": "application/json", - } - if self._provider_id == "openrouter": - headers["HTTP-Referer"] = "https://github.com/hessius/MeticAI" - headers["X-Title"] = "Metic" - return headers - - def generate_content(self, contents) -> _OpenAICompatResponse: - """Synchronously call the provider's chat-completions endpoint.""" - base_url = self._descriptor["base_url"] - if not base_url: - raise ProviderError( - f"Provider '{self._provider_id}' has no OpenAI-compatible base URL." - ) - messages = _contents_to_messages(contents, self._descriptor["vision"]) - payload = {"model": get_provider_model(self._provider_id), "messages": messages} - try: - with httpx.Client(timeout=_HTTP_TIMEOUT) as client: - resp = client.post( - f"{base_url}/chat/completions", - headers=self._headers(), - json=payload, - ) - except httpx.HTTPError as exc: - raise ProviderError( - f"Request to {self._provider_id} failed: {exc}" - ) from exc - - if resp.status_code >= 400: - raise ProviderError( - f"{self._provider_id} returned {resp.status_code}: {resp.text[:500]}" - ) - data = resp.json() - try: - text = data["choices"][0]["message"]["content"] or "" - except (KeyError, IndexError, TypeError) as exc: - raise ProviderError( - f"Unexpected response from {self._provider_id}: {str(data)[:500]}" - ) from exc - return _OpenAICompatResponse(text) - - async def async_generate_content(self, contents) -> _OpenAICompatResponse: - """Non-blocking wrapper around :meth:`generate_content`.""" - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, self.generate_content, contents) - - -async def list_provider_models(provider_id: Optional[str] = None) -> list[dict]: - """Return available models from the provider's ``/models`` endpoint. - - Falls back to the provider's default model on any error so the UI always has - at least one selectable option. - """ - pid = provider_id or get_active_provider_id() - descriptor = get_provider_descriptor(pid) - base_url = descriptor["base_url"] - api_key = get_provider_api_key(pid) - fallback = [ - { - "id": descriptor["default_model"], - "display_name": descriptor["default_model"], - "description": "", - } - ] - if not base_url or not api_key: - return fallback - - def _fetch() -> list[dict]: - with httpx.Client(timeout=30.0) as client: - resp = client.get( - f"{base_url}/models", - headers={"Authorization": f"Bearer {api_key}"}, - ) - resp.raise_for_status() - body = resp.json() - items = body.get("data", body) if isinstance(body, dict) else body - result = [] - for item in items or []: - model_id = item.get("id") if isinstance(item, dict) else None - if not model_id: - continue - result.append( - { - "id": model_id, - "display_name": model_id, - "description": "", - } - ) - return result or fallback - - try: - return await asyncio.to_thread(_fetch) - except Exception as exc: # noqa: BLE001 - degrade gracefully to fallback - logger.warning("Failed to list models for provider %s: %s", pid, exc) - return fallback diff --git a/apps/server/services/analysis_service.py b/apps/server/services/analysis_service.py deleted file mode 100644 index 5c9c2e6c..00000000 --- a/apps/server/services/analysis_service.py +++ /dev/null @@ -1,1865 +0,0 @@ -""" -Shot Analysis Service - -This module provides shot analysis functionality including: -- Profile formatting and utilities for display -- Shot stage analysis and execution comparison -- Local algorithmic shot analysis -- Profile description generation -""" - -import json -import re -from typing import Any, Optional - -from services.gemini_service import get_vision_model, PROFILING_KNOWLEDGE -from services.shot_facts import build_shot_facts -from logging_config import get_logger - -logger = get_logger() - -# Sensory tag vocabulary the AI may infer during description generation (#400). -# Mirrors apps/web/src/lib/tags.ts AI_TAG_LABELS (body / flavor / mouthfeel / -# roast / characteristic categories). Structural / temperature / weight / -# pressure tags are derived deterministically elsewhere, not requested here. -AI_TAG_LABELS = [ - "Light Body", - "Medium Body", - "Heavy Body", - "Florals", - "Acidity", - "Fruitiness", - "Chocolate", - "Nutty", - "Caramel", - "Berry", - "Citrus", - "Funky", - "Thin", - "Mouthfeel", - "Creamy", - "Syrupy", - "Light Roast", - "Medium Roast", - "Dark Roast", - "Sweet", - "Balanced", -] - -_AI_TAG_LOOKUP = {label.lower(): label for label in AI_TAG_LABELS} - -# Instruction appended to AI description prompts to request sensory tags (#400). -_AI_TAGS_PROMPT = ( - "\n\nFinally, on a separate last line, output:\n" - "Tags: [comma-separated subset of EXACTLY these labels that match the " - "coffee's likely sensory profile, or leave empty if unsure: " - + ", ".join(AI_TAG_LABELS) - + "]\nOnly use labels from that list; do not invent new ones." -) - -# Small on-device models often decorate the line with markdown (e.g. "**Tags:**" -# or "- Tags:"), so tolerate leading bullets/quotes and bold/italic markers. -_TAGS_LINE_RE = re.compile( - r"^[ \t]*(?:[>*+\-#]+[ \t]*)?(?:\*\*|__|\*|_)?[ \t]*Tags[ \t]*(?:\*\*|__|\*|_)?[ \t]*:[ \t]*(.*)$", - re.IGNORECASE | re.MULTILINE, -) - - -def parse_ai_tags(text: Optional[str]) -> list[str]: - """Extract and validate sensory tags from a description's ``Tags:`` line.""" - if not text: - return [] - match = _TAGS_LINE_RE.search(text) - if not match: - return [] - result: list[str] = [] - seen: set[str] = set() - for raw in match.group(1).split(","): - candidate = ( - raw.replace("[", "").replace("]", "").replace("*", "").replace("_", "") - .strip() - .rstrip(".") - .strip() - ) - canonical = _AI_TAG_LOOKUP.get(candidate.lower()) - if canonical and canonical not in seen: - seen.add(canonical) - result.append(canonical) - return result - - -def strip_tags_line(text: str) -> str: - """Remove the trailing ``Tags:`` line from a generated description body.""" - if not text: - return text - return re.sub(r"[ \t]*$", "", _TAGS_LINE_RE.sub("", text)).rstrip() - - -_UNIT_BY_TYPE = { - "pressure": " bar", - "flow": " ml/s", - "time": " s", - "weight": " g", -} - -_PAIRED_PLACEHOLDER_RE = re.compile(r"\$[^\s$]{1,60}\$") - - -def resolve_description_placeholders( - text: Optional[str], variables: Optional[list] = None -) -> str: - """Resolve profile variable references in generated prose and strip invented - placeholders. Small models sometimes echo the profile's variable references - (``$pressure_Max Pressure``) or invent tokens (``$pressure_1$``) into the - text. Mirror of resolveDescriptionPlaceholders in - apps/web/src/lib/descriptionText.ts — keep the two in sync. - """ - if not text: - return text or "" - # Models often markdown-escape underscores inside placeholders ($a\_1$). - out = text.replace("\\_", "_").replace("\\*", "*") - # Resolve real variable references, longest keys first so a key that is a - # prefix of another does not partially replace it. - resolved = [ - v - for v in (variables or []) - if isinstance(v, dict) - and isinstance(v.get("key"), str) - and v.get("value") is not None - ] - for v in sorted(resolved, key=lambda x: len(x["key"]), reverse=True): - key = v["key"] - unit = _UNIT_BY_TYPE.get(key.split("_")[0], "") - val = f"{v['value']}{unit}" - out = out.replace(f"${key}$", val).replace(f"${key}", val) - # Strip any remaining paired $...$ placeholder tokens the model invented. - out = _PAIRED_PLACEHOLDER_RE.sub("", out) - # Tidy whitespace left behind by removals. The preceding collapse guarantees - # at most a single space/tab before punctuation, so match exactly one char - # (no `+`) to avoid polynomial backtracking on long whitespace runs. - out = re.sub(r"[ \t]{2,}", " ", out) - out = re.sub(r"[ \t]([.,;:)])", r"\1", out) - return out - - -class DescriptionResult(str): - """A profile description string that also carries inferred AI sensory tags. - - Subclassing ``str`` keeps the existing call sites (which treat the return - value as a plain description and JSON-serialize it) working unchanged, while - exposing parsed tags via ``.ai_tags`` for the regenerate endpoint that - persists them. Static fallbacks return a plain ``str``, so consumers that - need the tags must use ``getattr(value, "ai_tags", [])``. - """ - - ai_tags: list[str] - - def __new__(cls, value: str, ai_tags: Optional[list[str]] = None): - obj = super().__new__(cls, value) - obj.ai_tags = ai_tags or [] - return obj - -# Constants -STAGE_STATUS_RETRACTING = "retracting" -PREINFUSION_KEYWORDS = [ - "bloom", - "soak", - "preinfusion", - "pre-infusion", - "pre infusion", - "wet", - "fill", - "landing", -] - - -# ============================================================================ -# Profile Formatting & Utilities -# ============================================================================ - - -def _stage_dynamics(stage: dict) -> tuple[list, str]: - """Return ``(points, over)`` for a stage, handling both profile formats. - - Meticulous profiles come in two shapes: a flat one - (``dynamics_points`` / ``dynamics_over``) and the canonical nested one - (``dynamics: {points, over}``). Readers that only looked at the flat keys - silently failed on nested profiles (e.g. "Slayer at Home"), returning no - target — which broke curve-adherence deltas and #423 effective-mode - detection. Mirror of the native ``stageDynamicsPoints`` helper. - """ - points = stage.get("dynamics_points") - over = stage.get("dynamics_over") - if not points: - dynamics = stage.get("dynamics") - if isinstance(dynamics, dict): - points = dynamics.get("points") - if over is None: - over = dynamics.get("over") - return (points or [], over or "time") - - -def _format_dynamics_description(stage: dict, variables: list | None = None) -> str: - """Format a human-readable description of the stage dynamics. - - Resolves $variable references in dynamics points using the provided variables list. - """ - variables = variables or [] - stage_type = stage.get("type", "unknown") - dynamics_points, dynamics_over = _stage_dynamics(stage) - - if not dynamics_points: - return f"{stage_type} stage (no dynamics data)" - - unit = "bar" if stage_type == "pressure" else "ml/s" - over_unit = "s" if dynamics_over == "time" else "g" - - def _resolve_dp_value(val): - """Resolve a dynamics point value, handling $variable references.""" - if isinstance(val, str) and val.startswith("$"): - resolved, _ = _resolve_variable(val, variables) - return _safe_float(resolved) - return _safe_float(val) - - if len(dynamics_points) == 1: - # Constant value - raw_value = ( - dynamics_points[0][1] - if len(dynamics_points[0]) > 1 - else dynamics_points[0][0] - ) - value = _resolve_dp_value(raw_value) - return f"Constant {stage_type} at {value} {unit}" - elif len(dynamics_points) == 2: - _safe_float(dynamics_points[0][0]) - start_y = _resolve_dp_value(dynamics_points[0][1]) - end_x = _safe_float(dynamics_points[1][0]) - end_y = _resolve_dp_value(dynamics_points[1][1]) - if start_y == end_y: - return f"Constant {stage_type} at {start_y} {unit} for {end_x}{over_unit}" - else: - direction = "ramp up" if end_y > start_y else "ramp down" - return f"{stage_type.capitalize()} {direction} from {start_y} to {end_y} {unit} over {end_x}{over_unit}" - else: - # Multiple points - describe curve - values = [_resolve_dp_value(p[1]) for p in dynamics_points if len(p) > 1] - if values: - return f"{stage_type.capitalize()} curve: {' → '.join(str(v) for v in values)} {unit}" - return f"Multi-point {stage_type} curve" - - -def _generate_execution_description( - stage_type: str, - duration: float, - start_pressure: float, - end_pressure: float, - max_pressure: float, - start_flow: float, - end_flow: float, - max_flow: float, - weight_gain: float, -) -> str: - """Generate a human-readable description of what actually happened during stage execution. - - This describes the actual behavior observed, not the target. - Examples: - - "Pressure rose from 2.1 bar to 8.5 bar over 4.2s" - - "Declining pressure from 9.0 bar to 6.2 bar" - - "Steady flow at 2.1 ml/s, extracted 18.5g" - """ - descriptions = [] - - # Determine pressure behavior - pressure_delta = end_pressure - start_pressure - if abs(pressure_delta) > 0.5: - if pressure_delta > 0: - descriptions.append( - f"Pressure rose from {start_pressure:.1f} to {end_pressure:.1f} bar" - ) - else: - descriptions.append( - f"Pressure declined from {start_pressure:.1f} to {end_pressure:.1f} bar" - ) - elif max_pressure > 0: - descriptions.append( - f"Pressure held around {(start_pressure + end_pressure) / 2:.1f} bar" - ) - - # Determine flow behavior - flow_delta = end_flow - start_flow - if abs(flow_delta) > 0.3: - if flow_delta > 0: - descriptions.append( - f"Flow increased from {start_flow:.1f} to {end_flow:.1f} ml/s" - ) - else: - descriptions.append( - f"Flow decreased from {start_flow:.1f} to {end_flow:.1f} ml/s" - ) - elif max_flow > 0: - descriptions.append(f"Flow steady at {(start_flow + end_flow) / 2:.1f} ml/s") - - # Add weight info if significant - if weight_gain > 1.0: - descriptions.append(f"extracted {weight_gain:.1f}g") - - # Add duration - if duration > 0: - descriptions.append(f"over {duration:.1f}s") - - if descriptions: - # Capitalize first letter and join - result = ", ".join(descriptions) - return result[0].upper() + result[1:] - - return f"Stage executed for {duration:.1f}s" - - -def _safe_float(val, default: float = 0.0) -> float: - """Safely convert a value to float, handling strings and None.""" - if val is None: - return default - try: - return float(val) - except (ValueError, TypeError): - return default - - -def _resolve_variable(value, variables: list) -> tuple[Any, str | None]: - """Resolve a variable reference like '$flow_hold limit' to its actual value. - - Returns: - Tuple of (resolved_value, variable_name or None if not a variable) - """ - if not isinstance(value, str) or not value.startswith("$"): - return value, None - - # Extract variable key (remove the $) - var_key = value[1:] - - # Search for matching variable - for var in variables: - if var.get("key") == var_key: - return var.get("value", value), var.get("name", var_key) - - # Variable not found - return original - return value, var_key - - -def _mean_dynamics_target(stage: dict, variables: list | None = None) -> float | None: - """Mean of a pressure/flow stage's resolved dynamics setpoints. - - Returns the intended scalar target (bar or ml/s) used by - shot_facts._curve_adherence, or None for non-pressure/flow stages or when - no numeric setpoints are present. Mirror of the native - DirectModeInterceptor.meanDynamicsTarget — keep the two in sync. - """ - stage_type = stage.get("type", "unknown") - if stage_type not in ("pressure", "flow"): - return None - variables = variables or [] - values: list[float] = [] - for point in _stage_dynamics(stage)[0]: - if not isinstance(point, (list, tuple)) or len(point) == 0: - continue - raw = point[1] if len(point) > 1 else point[0] - resolved, _ = _resolve_variable(raw, variables) - try: - values.append(float(resolved)) - except (TypeError, ValueError): - continue - if not values: - return None - return round(sum(values) / len(values), 2) - - -def _max_dynamics_target(stage: dict, variables: list | None = None) -> float | None: - """Peak of a pressure/flow stage's resolved dynamics setpoints. - - Used by shot_facts.effective_control_mode (#423) to detect stages whose - control intent differs from their declared type — e.g. an aggressive flow - stage (high flow target) paired with a pressure limit is effectively - pressure-controlled. Mirror of the native DirectModeInterceptor.maxDynamicsTarget. - """ - stage_type = stage.get("type", "unknown") - if stage_type not in ("pressure", "flow"): - return None - variables = variables or [] - values: list[float] = [] - for point in _stage_dynamics(stage)[0]: - if not isinstance(point, (list, tuple)) or len(point) == 0: - continue - raw = point[1] if len(point) > 1 else point[0] - resolved, _ = _resolve_variable(raw, variables) - try: - values.append(float(resolved)) - except (TypeError, ValueError): - continue - if not values: - return None - return round(max(values), 2) - - -def _format_exit_triggers( - exit_triggers: list, variables: list | None = None -) -> list[dict]: - """Format exit triggers into structured descriptions.""" - variables = variables or [] - formatted = [] - for trigger in exit_triggers: - trigger_type = trigger.get("type", "unknown") - raw_value = trigger.get("value", 0) - comparison = trigger.get("comparison", ">=") - - # Resolve variable reference if present - resolved_value, var_name = _resolve_variable(raw_value, variables) - display_value = _safe_float(resolved_value, 0) - - comp_text = {">=": "≥", "<=": "≤", ">": ">", "<": "<", "==": "="}.get( - comparison, comparison - ) - - unit = {"time": "s", "weight": "g", "pressure": "bar", "flow": "ml/s", - "flow_dose_correlation": "×dose", "pressure_rise": "bar"}.get( - trigger_type, "" - ) - - formatted.append( - { - "type": trigger_type, - "value": display_value, - "comparison": comparison, - "description": f"{trigger_type} {comp_text} {display_value}{unit}", - } - ) - - return formatted - - -def _format_limits(limits: list, variables: list | None = None) -> list[dict]: - """Format stage limits into structured descriptions.""" - variables = variables or [] - formatted = [] - for limit in limits: - limit_type = limit.get("type", "unknown") - raw_value = limit.get("value", 0) - - # Resolve variable reference if present - resolved_value, var_name = _resolve_variable(raw_value, variables) - display_value = _safe_float(resolved_value, 0) - - unit = {"time": "s", "weight": "g", "pressure": "bar", "flow": "ml/s"}.get( - limit_type, "" - ) - - formatted.append( - { - "type": limit_type, - "value": display_value, - "description": f"Limit {limit_type} to {display_value}{unit}", - } - ) - - return formatted - - -# ============================================================================ -# Shot Analysis Core -# ============================================================================ - - -def _determine_exit_trigger_hit( - stage_data: dict, - exit_triggers: list, - next_stage_start: float | None = None, - variables: list | None = None, -) -> dict: - """Determine which exit trigger caused the stage to end. - - Returns: - Dict with 'triggered' (the exit that fired) and 'not_triggered' (exits that didn't fire) - """ - variables = variables or [] - duration = _safe_float(stage_data.get("duration", 0)) - end_weight = _safe_float(stage_data.get("end_weight", 0)) - # Pressure values for different comparison types - max_pressure = _safe_float(stage_data.get("max_pressure", 0)) - end_pressure = _safe_float(stage_data.get("end_pressure", 0)) - # Flow values for different comparison types - max_flow = _safe_float(stage_data.get("max_flow", 0)) - end_flow = _safe_float(stage_data.get("end_flow", 0)) - - triggered = None - not_triggered = [] - - for trigger in exit_triggers: - trigger_type = trigger.get("type", "") - raw_value = trigger.get("value", 0) - comparison = trigger.get("comparison", ">=") - - # Resolve variable reference if present - resolved_value, _ = _resolve_variable(raw_value, variables) - value = _safe_float(resolved_value) - - # Check if this trigger was satisfied - # Select the appropriate actual value based on comparison operator - actual_value = 0.0 - if trigger_type == "time": - actual_value = duration - elif trigger_type == "weight": - actual_value = end_weight - elif trigger_type == "pressure": - # For >= or >: we want to know if max reached the target - # For <= or <: we want to know if pressure dropped below target (use end) - if comparison in (">=", ">"): - actual_value = max_pressure - else: # <= or < or == - actual_value = end_pressure - elif trigger_type == "flow": - # For >= or >: we want to know if max reached the target - # For <= or <: we want to know if flow dropped below target (use end) - if comparison in (">=", ">"): - actual_value = max_flow - else: # <= or < or == - actual_value = end_flow - - # Evaluate comparison with small tolerance - tolerance = 0.5 if trigger_type in ["time", "weight"] else 0.2 - was_hit = False - - if comparison == ">=": - was_hit = actual_value >= (value - tolerance) - elif comparison == ">": - was_hit = actual_value > value - elif comparison == "<=": - was_hit = actual_value <= (value + tolerance) - elif comparison == "<": - was_hit = actual_value < value - elif comparison == "==": - was_hit = abs(actual_value - value) < tolerance - - # Build a proper description with the resolved value - unit = {"time": "s", "weight": "g", "pressure": "bar", "flow": "ml/s", - "flow_dose_correlation": "×dose", "pressure_rise": "bar"}.get( - trigger_type, "" - ) - trigger_info = { - "type": trigger_type, - "target": value, - "actual": round(actual_value, 1), - "description": f"{trigger_type} >= {value}{unit}", - } - - if was_hit: - if triggered is None: # First trigger that was hit - triggered = trigger_info - else: - not_triggered.append(trigger_info) - - return {"triggered": triggered, "not_triggered": not_triggered} - - -def _analyze_stage_execution( - profile_stage: dict, - shot_stage_data: dict | None, - total_shot_duration: float, - variables: list | None = None, -) -> dict: - """Analyze how a single stage executed compared to its profile definition.""" - variables = variables or [] - stage_name = profile_stage.get("name", "Unknown") - stage_type = profile_stage.get("type", "unknown") - stage_key = profile_stage.get("key", "") - - # Build profile target description - dynamics_desc = _format_dynamics_description(profile_stage, variables) - exit_triggers = _format_exit_triggers( - profile_stage.get("exit_triggers", []), variables - ) - limits = _format_limits(profile_stage.get("limits", []), variables) - - result = { - "stage_name": stage_name, - "stage_key": stage_key, - "stage_type": stage_type, - "profile_target": dynamics_desc, - "profile_target_value": _mean_dynamics_target(profile_stage, variables), - "profile_max_target": _max_dynamics_target(profile_stage, variables), - "exit_triggers": exit_triggers, - "limits": limits, - "executed": shot_stage_data is not None, - "execution_data": None, - "exit_trigger_result": None, - "limit_hit": None, - "assessment": None, - } - - if shot_stage_data is None: - result["assessment"] = { - "status": "not_reached", - "message": "This stage was never executed during the shot", - } - return result - - # Stage was executed - analyze it - duration = _safe_float(shot_stage_data.get("duration", 0)) - start_weight = _safe_float(shot_stage_data.get("start_weight", 0)) - end_weight = _safe_float(shot_stage_data.get("end_weight", 0)) - weight_gain = end_weight - start_weight - start_pressure = _safe_float(shot_stage_data.get("start_pressure", 0)) - end_pressure = _safe_float(shot_stage_data.get("end_pressure", 0)) - avg_pressure = _safe_float(shot_stage_data.get("avg_pressure", 0)) - max_pressure = _safe_float(shot_stage_data.get("max_pressure", 0)) - min_pressure = _safe_float(shot_stage_data.get("min_pressure", 0)) - start_flow = _safe_float(shot_stage_data.get("start_flow", 0)) - end_flow = _safe_float(shot_stage_data.get("end_flow", 0)) - avg_flow = _safe_float(shot_stage_data.get("avg_flow", 0)) - max_flow = _safe_float(shot_stage_data.get("max_flow", 0)) - - # Generate execution description based on what actually happened - execution_description = _generate_execution_description( - stage_type, - duration, - start_pressure, - end_pressure, - max_pressure, - start_flow, - end_flow, - max_flow, - weight_gain, - ) - - result["execution_data"] = { - "duration": round(duration, 1), - "weight_gain": round(weight_gain, 1), - "start_weight": round(start_weight, 1), - "end_weight": round(end_weight, 1), - "start_pressure": round(start_pressure, 1), - "end_pressure": round(end_pressure, 1), - "avg_pressure": round(avg_pressure, 1), - "max_pressure": round(max_pressure, 1), - "min_pressure": round(min_pressure, 1), - "start_flow": round(start_flow, 1), - "end_flow": round(end_flow, 1), - "avg_flow": round(avg_flow, 1), - "max_flow": round(max_flow, 1), - "description": execution_description, - } - - # Determine which exit trigger was hit - if profile_stage.get("exit_triggers"): - exit_result = _determine_exit_trigger_hit( - shot_stage_data, profile_stage.get("exit_triggers", []), variables=variables - ) - result["exit_trigger_result"] = exit_result - - # Check if any limits were hit - stage_limits = profile_stage.get("limits", []) - for limit in stage_limits: - limit_type = limit.get("type", "") - raw_limit_value = limit.get("value", 0) - - # Resolve variable reference if present - resolved_limit_value, _ = _resolve_variable(raw_limit_value, variables) - limit_value = _safe_float(resolved_limit_value) - - actual = 0.0 - if limit_type == "flow": - actual = max_flow - elif limit_type == "pressure": - actual = max_pressure - elif limit_type == "time": - actual = duration - elif limit_type == "weight": - actual = end_weight - - # Check if limit was hit (within small tolerance) - unit = {"time": "s", "weight": "g", "pressure": "bar", "flow": "ml/s"}.get( - limit_type, "" - ) - if actual >= limit_value - 0.2: - result["limit_hit"] = { - "type": limit_type, - "limit_value": limit_value, - "actual_value": round(actual, 1), - "description": f"Hit {limit_type} limit of {limit_value}{unit}", - } - break - - # Generate assessment - if result["exit_trigger_result"] and result["exit_trigger_result"]["triggered"]: - if result["limit_hit"]: - result["assessment"] = { - "status": "hit_limit", - "message": f"Stage exited but hit a limit ({result['limit_hit']['description']})", - } - else: - result["assessment"] = { - "status": "reached_goal", - "message": f"Exited via: {result['exit_trigger_result']['triggered']['description']}", - } - elif ( - result["exit_trigger_result"] and result["exit_trigger_result"]["not_triggered"] - ): - # No trigger was hit - stage ended prematurely, this is a failure - # Check if the dynamics goal was reached (e.g., target pressure) - goal_reached = False - goal_message = "" - - dynamics_points = _stage_dynamics(profile_stage)[0] - if dynamics_points and len(dynamics_points) >= 1: - # Get the target value (last point in dynamics) - raw_target = ( - dynamics_points[-1][1] - if len(dynamics_points[-1]) > 1 - else dynamics_points[-1][0] - ) - - # Resolve variable reference if present (e.g. "$decline_pressure") - if isinstance(raw_target, str) and raw_target.startswith("$"): - resolved, _ = _resolve_variable(raw_target, variables) - target_value = _safe_float(resolved) - else: - target_value = _safe_float(raw_target) - - if stage_type == "pressure": - # Check if we reached target pressure - if ( - target_value > 0 and max_pressure >= target_value * 0.95 - ): # Within 5% - goal_reached = True - goal_message = f"Target pressure of {target_value} bar was reached ({max_pressure:.1f} bar achieved)" - elif target_value > 0: - goal_message = f"Target pressure of {target_value} bar was NOT reached (only {max_pressure:.1f} bar achieved)" - elif stage_type == "flow": - # For flow stages, use end_flow (not max_flow) since initial peak is just piston movement - if target_value > 0 and end_flow >= target_value * 0.95: - goal_reached = True - goal_message = f"Target flow of {target_value} ml/s was reached ({end_flow:.1f} ml/s at end)" - elif target_value > 0: - goal_message = f"Target flow of {target_value} ml/s was NOT reached ({end_flow:.1f} ml/s at end)" - - if goal_reached: - result["assessment"] = { - "status": "incomplete", - "message": f"Stage ended before exit triggers were satisfied, but {goal_message.lower()}", - } - else: - result["assessment"] = { - "status": "failed", - "message": f"Stage ended before exit triggers were satisfied. {goal_message}" - if goal_message - else "Stage ended before exit triggers were satisfied", - } - else: - result["assessment"] = { - "status": "executed", - "message": "Stage executed (no exit triggers defined)", - } - - return result - - -def _extract_shot_stage_data(shot_data: dict) -> dict[str, dict]: - """Extract per-stage telemetry from shot data. - - Returns a dict mapping stage names to their execution data. - """ - data_entries = shot_data.get("data", []) - if not data_entries: - return {} - - # Group data by stage - stage_data = {} - current_stage = None - stage_entries = [] - - for entry in data_entries: - status = entry.get("status", "") - - # Skip retracting - it's machine cleanup - if status.lower().strip() == STAGE_STATUS_RETRACTING: - continue - - if status and status != current_stage: - # Save previous stage data - if current_stage and stage_entries: - stage_data[current_stage] = _compute_stage_stats(stage_entries) - - current_stage = status - stage_entries = [] - - if current_stage: - stage_entries.append(entry) - - # Save final stage - if current_stage and stage_entries: - stage_data[current_stage] = _compute_stage_stats(stage_entries) - - return stage_data - - -def _compute_stage_stats(entries: list) -> dict: - """Compute statistics for a stage from its telemetry entries. - - Flow statistics (max_flow, avg_flow) ignore the first 3.5 seconds of - absolute shot time to avoid false-positive peaks caused by the rush - of water at the end of plunger retraction. - """ - if not entries: - return {} - - FLOW_IGNORE_WINDOW = 3.5 # seconds of absolute shot time to skip for flow - - times = [] - pressures = [] - flows = [] - flows_filtered = [] # Excludes first 3.5 s of absolute shot time - weights = [] - - for entry in entries: - t = entry.get("time", 0) / 1000 # Convert to seconds - times.append(t) - - shot = entry.get("shot", {}) - pressures.append(shot.get("pressure", 0)) - flow_val = shot.get("flow", 0) or shot.get("gravimetric_flow", 0) - flows.append(flow_val) - if t >= FLOW_IGNORE_WINDOW: - flows_filtered.append(flow_val) - weights.append(shot.get("weight", 0)) - - start_time = min(times) if times else 0 - end_time = max(times) if times else 0 - - # Use filtered flows for max/avg if available, else fall back to all flows - flow_stats_src = flows_filtered if flows_filtered else flows - - return { - "start_time": start_time, - "end_time": end_time, - "duration": end_time - start_time, - "start_weight": weights[0] if weights else 0, - "end_weight": weights[-1] if weights else 0, - "start_pressure": pressures[0] if pressures else 0, - "end_pressure": pressures[-1] if pressures else 0, - "min_pressure": min(pressures) if pressures else 0, - "max_pressure": max(pressures) if pressures else 0, - "avg_pressure": sum(pressures) / len(pressures) if pressures else 0, - "start_flow": flows[0] if flows else 0, - "end_flow": flows[-1] if flows else 0, - "min_flow": min(flow_stats_src) if flow_stats_src else 0, - "max_flow": max(flow_stats_src) if flow_stats_src else 0, - "avg_flow": sum(flow_stats_src) / len(flow_stats_src) if flow_stats_src else 0, - "entry_count": len(entries), - } - - -def _interpolate_weight_to_time( - target_weight: float, weight_time_pairs: list[tuple[float, float]] -) -> Optional[float]: - """Interpolate time value for a given weight using linear interpolation. - - Args: - target_weight: The weight value to find the corresponding time for - weight_time_pairs: List of (weight, time) tuples sorted by weight - - Returns: - Interpolated time value, or None if no data available - """ - if not weight_time_pairs: - return None - - # Find bracketing weight values - for i in range(len(weight_time_pairs)): - weight_actual, time_actual = weight_time_pairs[i] - - if weight_actual >= target_weight: - if i == 0: - # Before first point, use first time - return time_actual - else: - # Interpolate between i-1 and i - weight_prev, time_prev = weight_time_pairs[i - 1] - if weight_actual > weight_prev: - # Linear interpolation - weight_fraction = (target_weight - weight_prev) / ( - weight_actual - weight_prev - ) - return time_prev + weight_fraction * (time_actual - time_prev) - else: - # Same weight, use current time - return time_actual - - # If not found, use last time (weight exceeds all actual weights) - return weight_time_pairs[-1][1] - - -def _target_key_for_type(stage_type: str) -> Optional[str]: - """Return the target-curve data key for a stage type, or None if unsupported.""" - if stage_type == "pressure": - return "target_pressure" - if stage_type == "flow": - return "target_flow" - if stage_type == "power": - return "target_power" - return None - - -def _build_time_based_curve_points( - dynamics_points: list, - variables: list, - stage_name: str, - stage_type: str, - stage_start: float, - stage_end: float, -) -> list[dict]: - """Build target-curve points for a time-based, multi-point stage. - - Dynamics point x-values are absolute seconds measured from the start of the - stage; they describe the real-time target curve the machine follows. They - must therefore be plotted at their actual offset (``stage_start + x``) and - NOT rescaled to fill the stage duration. Rescaling distorts ramps: a short - ramp inside a longer stage gets stretched, and a ramp followed by a long - hold gets compressed until the ramp looks instantaneous (the reported bug). - - Behaviour: - * Each point is emitted at its absolute time within the stage. - * If the final dynamics point ends before ``stage_end``, the last value is - held flat until ``stage_end`` (the machine holds the final target). - * If a dynamics point lies beyond ``stage_end`` (the stage exited early via - another trigger), the curve is linearly clipped at the boundary. - """ - key = _target_key_for_type(stage_type) - if key is None: - return [] - - stage_duration = stage_end - stage_start - - def _resolve(raw): - if isinstance(raw, str) and raw.startswith("$"): - resolved, _ = _resolve_variable(raw, variables) - return _safe_float(resolved) - return _safe_float(raw) - - points: list[dict] = [] - prev_t: Optional[float] = None - prev_v: Optional[float] = None - last_t: Optional[float] = None - last_v: Optional[float] = None - - for dp in dynamics_points: - dp_t = _safe_float(dp[0]) - dp_v = _resolve(dp[1] if len(dp) > 1 else dp[0]) - - if dp_t > stage_duration: - # Stage exited before reaching this point — clip at the boundary. - if prev_t is not None and dp_t > prev_t: - frac = (stage_duration - prev_t) / (dp_t - prev_t) - boundary_v = prev_v + (dp_v - prev_v) * frac - else: - boundary_v = dp_v - points.append( - { - "time": round(stage_end, 2), - "stage_name": stage_name, - key: round(boundary_v, 1), - } - ) - return points - - points.append( - { - "time": round(stage_start + dp_t, 2), - "stage_name": stage_name, - key: round(dp_v, 1), - } - ) - prev_t, prev_v = dp_t, dp_v - last_t, last_v = dp_t, dp_v - - # Hold the final target value until the stage ends, if the curve finished early. - if last_t is not None and last_t < stage_duration - 1e-6: - points.append( - { - "time": round(stage_end, 2), - "stage_name": stage_name, - key: round(last_v, 1), - } - ) - - return points - - -def _generate_profile_target_curves( - profile_data: dict, shot_stage_times: dict, shot_data: dict -) -> list[dict]: - """Generate target curves for profile overlay on shot chart. - - Creates data points representing what the profile was targeting at each time point. - Uses actual shot stage times to align the profile curves with the shot execution. - Supports both time-based and weight-based dynamics. - - Args: - profile_data: The profile configuration - shot_stage_times: Dict mapping stage names to (start_time, end_time) tuples - shot_data: The complete shot data including telemetry entries - - Returns: - List of data points: [{time, target_pressure, target_flow, target_power, stage_name}, ...] - """ - stages = profile_data.get("stages", []) - variables = profile_data.get("variables", []) - data_points = [] - - # Build weight-to-time mappings for each stage from shot data - # This enables weight-based dynamics interpolation - stage_weight_to_time = {} - data_entries = shot_data.get("data", []) - - for entry in data_entries: - status = entry.get("status", "") - if not status or status.lower().strip() == STAGE_STATUS_RETRACTING: - continue - - time_sec = entry.get("time", 0) / 1000 # Convert to seconds - weight = entry.get("shot", {}).get("weight", 0) - - # Normalize stage name for matching - normalized_status = status.lower().strip() - - if normalized_status not in stage_weight_to_time: - stage_weight_to_time[normalized_status] = [] - - stage_weight_to_time[normalized_status].append((weight, time_sec)) - - for stage in stages: - stage_name = stage.get("name", "") - stage_type = stage.get("type", "") # pressure or flow - - # Handle both flat format (dynamics_points) and nested format (dynamics.points) - dynamics_points = stage.get("dynamics_points", []) - dynamics_over = stage.get("dynamics_over", "time") # time or weight - - # If flat format not found, try nested dynamics object - if not dynamics_points: - dynamics_obj = stage.get("dynamics", {}) - if isinstance(dynamics_obj, dict): - dynamics_points = dynamics_obj.get("points", []) - dynamics_over = dynamics_obj.get("over", "time") - - if not dynamics_points: - continue - - # Get actual stage timing from shot - # Match using either stage name or stage key (for consistency with main analysis) - identifiers = set() - if stage_name: - identifiers.add(stage_name.lower().strip()) - stage_key_field = stage.get("key", "") - if stage_key_field: - identifiers.add(stage_key_field.lower().strip()) - - stage_timing = None - for shot_stage_name, timing in shot_stage_times.items(): - normalized_shot_stage_name = shot_stage_name.lower().strip() - if normalized_shot_stage_name in identifiers: - stage_timing = timing - break - - if not stage_timing: - continue - - stage_start, stage_end = stage_timing - stage_duration = stage_end - stage_start - - if stage_duration <= 0: - continue - - # Generate points along the stage duration - # For time-based dynamics, interpolate directly - if dynamics_over == "time": - # Get the dynamics point times (x values) and target values (y values) - if len(dynamics_points) == 1: - # Constant value throughout stage - value = ( - dynamics_points[0][1] - if len(dynamics_points[0]) > 1 - else dynamics_points[0][0] - ) - # Resolve variable if needed - if isinstance(value, str) and value.startswith("$"): - resolved, _ = _resolve_variable(value, variables) - value = _safe_float(resolved) - else: - value = _safe_float(value) - - # Add start and end points - point_start = {"time": round(stage_start, 2), "stage_name": stage_name} - point_end = {"time": round(stage_end, 2), "stage_name": stage_name} - - if stage_type == "pressure": - point_start["target_pressure"] = round(value, 1) - point_end["target_pressure"] = round(value, 1) - elif stage_type == "flow": - point_start["target_flow"] = round(value, 1) - point_end["target_flow"] = round(value, 1) - elif stage_type == "power": - point_start["target_power"] = round(value, 1) - point_end["target_power"] = round(value, 1) - - data_points.append(point_start) - data_points.append(point_end) - else: - # Multiple points define a real-time target curve. Dynamics - # times are absolute seconds within the stage, so plot them at - # their true offsets instead of rescaling to the stage length - # (rescaling distorts ramps — see _build_time_based_curve_points). - data_points.extend( - _build_time_based_curve_points( - dynamics_points, - variables, - stage_name, - stage_type, - stage_start, - stage_end, - ) - ) - - # For weight-based dynamics, map weight values to time using actual shot data - elif dynamics_over == "weight": - # Get weight-to-time mapping for this stage - stage_key_normalized = None - for identifier in identifiers: - if identifier in stage_weight_to_time: - stage_key_normalized = identifier - break - - if ( - not stage_key_normalized - or not stage_weight_to_time[stage_key_normalized] - ): - # No weight data available for this stage - continue - - weight_time_pairs = stage_weight_to_time[stage_key_normalized] - - # Sort by weight to enable interpolation - weight_time_pairs.sort(key=lambda x: x[0]) - - if len(dynamics_points) == 1: - # Constant value throughout stage - value = ( - dynamics_points[0][1] - if len(dynamics_points[0]) > 1 - else dynamics_points[0][0] - ) - - # Resolve variable if needed - if isinstance(value, str) and value.startswith("$"): - resolved, _ = _resolve_variable(value, variables) - value = _safe_float(resolved) - else: - value = _safe_float(value) - - # Add start and end points - point_start = {"time": round(stage_start, 2), "stage_name": stage_name} - point_end = {"time": round(stage_end, 2), "stage_name": stage_name} - - if stage_type == "pressure": - point_start["target_pressure"] = round(value, 1) - point_end["target_pressure"] = round(value, 1) - elif stage_type == "flow": - point_start["target_flow"] = round(value, 1) - point_end["target_flow"] = round(value, 1) - elif stage_type == "power": - point_start["target_power"] = round(value, 1) - point_end["target_power"] = round(value, 1) - - data_points.append(point_start) - data_points.append(point_end) - else: - # Multiple points - interpolate weight values to time - # dynamics_points format: [[weight1, value1], [weight2, value2], ...] - for dp in dynamics_points: - dp_weight = _safe_float(dp[0]) - dp_value = dp[1] if len(dp) > 1 else dp[0] - - # Resolve variable if needed - if isinstance(dp_value, str) and dp_value.startswith("$"): - resolved, _ = _resolve_variable(dp_value, variables) - dp_value = _safe_float(resolved) - else: - dp_value = _safe_float(dp_value) - - # Find time corresponding to this weight using linear interpolation - actual_time = _interpolate_weight_to_time( - dp_weight, weight_time_pairs - ) - - if actual_time is not None: - point = { - "time": round(actual_time, 2), - "stage_name": stage_name, - } - if stage_type == "pressure": - point["target_pressure"] = round(dp_value, 1) - elif stage_type == "flow": - point["target_flow"] = round(dp_value, 1) - elif stage_type == "power": - point["target_power"] = round(dp_value, 1) - - data_points.append(point) - - # Sort by time - data_points.sort(key=lambda x: x["time"]) - - return data_points - - -def generate_estimated_target_curves(profile_data: dict) -> list[dict]: - """Generate *estimated* target curves from a profile without actual shot data. - - Used by the live-view to show goal overlays before/during a shot. - Stage durations are estimated from exit-trigger time values (or a - fallback of 10 seconds per stage when no time trigger exists). - Weight-based dynamics_over stages use estimated stage duration for - linear interpolation of their points. - - Returns the same [{time, target_pressure?, target_flow?, stage_name}] format - as _generate_profile_target_curves. - """ - stages = profile_data.get("stages", []) - variables = profile_data.get("variables", []) - data_points: list[dict] = [] - - DEFAULT_STAGE_DURATION = 10.0 # seconds when no time-exit exists - # When a stage has BOTH weight and time exit triggers, the time trigger - # is a safety maximum (not the expected duration). In practice the - # weight trigger fires first, so we cap the estimated stage duration to - # this value for stages that have a weight trigger alongside a time one. - WEIGHT_STAGE_MAX_ESTIMATE = 15.0 # realistic stage length when weight exits first - - # First pass — estimate duration of each stage from exit triggers - stage_durations: list[float] = [] - for stage in stages: - exit_triggers = stage.get("exit_triggers", []) - time_trigger_val: float | None = None - has_weight_trigger = False - for trig in exit_triggers: - if trig.get("type") == "time": - raw = trig.get("value", 0) - resolved, _ = _resolve_variable(raw, variables) - time_trigger_val = _safe_float(resolved, DEFAULT_STAGE_DURATION) - if trig.get("type") == "weight": - has_weight_trigger = True - - if time_trigger_val is not None: - # If a weight trigger also exists, the time trigger is only - # a safety ceiling — the actual stage is much shorter. - if has_weight_trigger: - duration = min(time_trigger_val, WEIGHT_STAGE_MAX_ESTIMATE) - else: - duration = time_trigger_val - else: - duration = DEFAULT_STAGE_DURATION - - stage_durations.append(duration) - - # Second pass — build target curve points - running_time = 0.0 - for idx, stage in enumerate(stages): - stage_name = stage.get("name", f"Stage {idx + 1}") - stage_type = stage.get("type", "") # pressure or flow - duration = stage_durations[idx] - - dynamics_points = stage.get("dynamics_points", []) - stage.get("dynamics_over", "time") - - if not dynamics_points: - dynamics_obj = stage.get("dynamics", {}) - if isinstance(dynamics_obj, dict): - dynamics_points = dynamics_obj.get("points", []) - dynamics_obj.get("over", "time") - - if not dynamics_points: - running_time += duration - continue - - stage_start = running_time - stage_end = running_time + duration - - if len(dynamics_points) == 1: - value = ( - dynamics_points[0][1] - if len(dynamics_points[0]) > 1 - else dynamics_points[0][0] - ) - if isinstance(value, str) and value.startswith("$"): - resolved, _ = _resolve_variable(value, variables) - value = _safe_float(resolved) - else: - value = _safe_float(value) - - pt_s = {"time": round(stage_start, 2), "stage_name": stage_name} - pt_e = {"time": round(stage_end, 2), "stage_name": stage_name} - key = ( - "target_pressure" - if stage_type == "pressure" - else ("target_power" if stage_type == "power" else "target_flow") - ) - pt_s[key] = round(value, 1) - pt_e[key] = round(value, 1) - data_points += [pt_s, pt_e] - else: - data_points.extend( - _build_time_based_curve_points( - dynamics_points, - variables, - stage_name, - stage_type, - stage_start, - stage_end, - ) - ) - - running_time = stage_end - - data_points.sort(key=lambda x: x["time"]) - return data_points - - -def _perform_local_shot_analysis(shot_data: dict, profile_data: dict) -> dict: - """Perform complete local analysis of shot vs profile. - - This is a purely algorithmic analysis - no LLM involved. - """ - # Extract overall shot metrics - data_entries = shot_data.get("data", []) - - FLOW_IGNORE_WINDOW = 3.5 # seconds — ignore retraction water rush - - final_weight = 0 - total_time = 0 - max_pressure = 0 - max_flow = 0 - - for entry in data_entries: - shot = entry.get("shot", {}) - weight = shot.get("weight", 0) - pressure = shot.get("pressure", 0) - flow = shot.get("flow", 0) or shot.get("gravimetric_flow", 0) - t = entry.get("time", 0) / 1000 - - final_weight = max(final_weight, weight) - total_time = max(total_time, t) - max_pressure = max(max_pressure, pressure) - if t >= FLOW_IGNORE_WINDOW: - max_flow = max(max_flow, flow) - - target_weight = profile_data.get("final_weight", 0) or 0 - - # Weight analysis - weight_deviation = 0 - weight_status = "on_target" - if target_weight > 0: - weight_deviation = ((final_weight - target_weight) / target_weight) * 100 - if final_weight < target_weight * 0.95: # More than 5% under - weight_status = "under" - elif final_weight > target_weight * 1.1: # More than 10% over - weight_status = "over" - - # Extract shot stage data - shot_stages = _extract_shot_stage_data(shot_data) - - # Build shot stage times for profile curve generation - shot_stage_times = {} - for stage_name, stage_data in shot_stages.items(): - start_time = stage_data.get("start_time", 0) - end_time = stage_data.get("end_time", 0) - shot_stage_times[stage_name] = (start_time, end_time) - - # Generate profile target curves for chart overlay - profile_target_curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - # Profile stages - profile_stages = profile_data.get("stages", []) - profile_variables = profile_data.get("variables", []) - - # Analyze each profile stage - stage_analyses = [] - executed_stages = set() - unreached_stages = [] - preinfusion_time = 0 - preinfusion_stages = [] - - for profile_stage in profile_stages: - stage_name = profile_stage.get("name", "") - stage_key = profile_stage.get("key", "").lower() - - # Find matching shot stage (by name, case-insensitive) - shot_stage_data = None - for shot_stage_name, data in shot_stages.items(): - if shot_stage_name.lower().strip() == stage_name.lower().strip(): - shot_stage_data = data - executed_stages.add(stage_name) - break - - analysis = _analyze_stage_execution( - profile_stage, shot_stage_data, total_time, profile_variables - ) - stage_analyses.append(analysis) - - # Track unreached - if not analysis["executed"]: - unreached_stages.append(stage_name) - - # Track preinfusion time - name_lower = stage_name.lower() - is_preinfusion = any(kw in name_lower for kw in PREINFUSION_KEYWORDS) or any( - kw in stage_key for kw in ["preinfusion", "bloom", "soak", "fill"] - ) - - if is_preinfusion and shot_stage_data: - preinfusion_time += _safe_float(shot_stage_data.get("duration", 0)) - preinfusion_stages.append( - { - "name": stage_name, - "duration": _safe_float(shot_stage_data.get("duration", 0)), - "start_weight": _safe_float(shot_stage_data.get("start_weight", 0)), - "end_weight": _safe_float(shot_stage_data.get("end_weight", 0)), - "max_flow": _safe_float(shot_stage_data.get("max_flow", 0)), - "avg_flow": _safe_float(shot_stage_data.get("avg_flow", 0)), - "exit_triggers": profile_stage.get("exit_triggers", []), - } - ) - - # Preinfusion analysis - preinfusion_proportion = ( - (preinfusion_time / total_time * 100) if total_time > 0 else 0 - ) - - # Calculate total weight accumulated during preinfusion - preinfusion_weight = 0 - for pi_stage in preinfusion_stages: - # Weight gained in this stage - stage_weight_gain = pi_stage["end_weight"] - pi_stage["start_weight"] - preinfusion_weight += max(0, stage_weight_gain) - - # Preinfusion weight analysis - preinfusion_weight_percent = ( - (preinfusion_weight / final_weight * 100) if final_weight > 0 else 0 - ) - preinfusion_issues = [] - preinfusion_recommendations = [] - - if preinfusion_weight_percent > 10: - preinfusion_issues.append( - { - "type": "excessive_preinfusion_volume", - "severity": "warning" - if preinfusion_weight_percent <= 15 - else "concern", - "message": f"Pre-infusion accounted for {preinfusion_weight_percent:.1f}% of total shot volume (target: ≤10%)", - "detail": f"{preinfusion_weight:.1f}g of {final_weight:.1f}g total", - } - ) - - # Check for high flow during preinfusion - max_preinfusion_flow = max( - (s["max_flow"] for s in preinfusion_stages), default=0 - ) - avg_preinfusion_flow = ( - sum(s["avg_flow"] for s in preinfusion_stages) / len(preinfusion_stages) - if preinfusion_stages - else 0 - ) - - if max_preinfusion_flow > 2.0 or avg_preinfusion_flow > 1.0: - preinfusion_issues.append( - { - "type": "high_preinfusion_flow", - "severity": "warning", - "message": f"High flow during pre-infusion (max: {max_preinfusion_flow:.1f} ml/s, avg: {avg_preinfusion_flow:.1f} ml/s)", - "detail": "May indicate grind is too coarse", - } - ) - preinfusion_recommendations.append( - "Consider using a finer grind to slow early flow" - ) - - # Check if exit triggers include weight/flow protection - has_weight_exit = False - has_flow_exit = False - for pi_stage in preinfusion_stages: - for trigger in pi_stage.get("exit_triggers", []): - trigger_type = ( - trigger.get("type", "") if isinstance(trigger, dict) else "" - ) - if "weight" in trigger_type.lower(): - has_weight_exit = True - if "flow" in trigger_type.lower(): - has_flow_exit = True - - if not has_weight_exit and not has_flow_exit: - preinfusion_recommendations.append( - "Consider adding a weight or flow exit trigger to pre-infusion stages to prevent excessive early volume" - ) - elif not has_weight_exit: - preinfusion_recommendations.append( - "Consider adding a weight-based exit trigger to limit pre-infusion volume" - ) - - analysis_result = { - "shot_summary": { - "final_weight": round(final_weight, 1), - "target_weight": round(target_weight, 1) if target_weight else None, - "total_time": round(total_time, 1), - "max_pressure": round(max_pressure, 1), - "max_flow": round(max_flow, 1), - }, - "weight_analysis": { - "status": weight_status, - "target": round(target_weight, 1) if target_weight else None, - "actual": round(final_weight, 1), - "deviation_percent": round(weight_deviation, 1), - }, - "stage_analyses": stage_analyses, - "unreached_stages": unreached_stages, - "preinfusion_summary": { - "stages": [s["name"] for s in preinfusion_stages], - "total_time": round(preinfusion_time, 1), - "proportion_of_shot": round(preinfusion_proportion, 1), - "weight_accumulated": round(preinfusion_weight, 1), - "weight_percent_of_total": round(preinfusion_weight_percent, 1), - "issues": preinfusion_issues, - "recommendations": preinfusion_recommendations, - }, - "profile_info": { - "name": profile_data.get("name", "Unknown"), - "temperature": profile_data.get("temperature"), - "stage_count": len(profile_stages), - }, - "profile_target_curves": profile_target_curves, - } - analysis_result["shot_facts"] = build_shot_facts(analysis_result) - return analysis_result - - -def _prepare_shot_summary_for_llm( - shot_data: dict, profile_data: dict, local_analysis: dict -) -> dict: - """Prepare a token-efficient summary of shot data for LLM analysis. - - Extracts only key data points to minimize token usage while providing - enough context for meaningful analysis. - """ - # Basic shot metrics - overall = local_analysis.get("overall_metrics", {}) - weight_analysis = local_analysis.get("weight_analysis", {}) - preinfusion = local_analysis.get("preinfusion_summary", {}) - - # Stage summary (compact format) - stage_summaries = [] - total_time = overall.get("total_time", 0) - - for stage in local_analysis.get("stage_analyses", []): - exec_data = stage.get("execution_data") - if exec_data: - duration = exec_data.get("duration", 0) - pct_of_shot = round( - (duration / total_time * 100) if total_time > 0 else 0, 1 - ) - # Safely extract exit trigger and limit hit descriptions - exit_trigger_desc = None - exit_trigger_result = stage.get("exit_trigger_result") - if exit_trigger_result: - triggered = exit_trigger_result.get("triggered") - if triggered and isinstance(triggered, dict): - exit_trigger_desc = triggered.get("description") - - limit_hit_desc = None - limit_hit = stage.get("limit_hit") - if limit_hit and isinstance(limit_hit, dict): - limit_hit_desc = limit_hit.get("description") - - stage_summaries.append( - { - "name": stage.get("stage_name"), - "duration_s": round(duration, 1), - "percent_of_shot": pct_of_shot, - "avg_pressure": exec_data.get("avg_pressure"), - "avg_flow": exec_data.get("avg_flow"), - "weight_gain": exec_data.get("weight_gain"), - "cumulative_weight_at_end": exec_data.get( - "end_weight" - ), # Added: cumulative weight when stage ended - "exit_trigger": exit_trigger_desc, - "limit_hit": limit_hit_desc, - } - ) - else: - stage_summaries.append( - {"name": stage.get("stage_name"), "status": "NOT REACHED"} - ) - - # Profile variables (resolved values) - variables = [] - for var in profile_data.get("variables", []): - variables.append( - { - "name": var.get("name"), - "type": var.get("type"), - "value": var.get("value"), - } - ) - - # Simplified graph data - sample key points from the shot - data_entries = shot_data.get("data", []) - graph_summary = [] - - if data_entries: - # Sample at key points: start, 25%, 50%, 75%, end, and any stage transitions - sample_indices = [0] - n = len(data_entries) - for pct in [0.25, 0.5, 0.75]: - idx = int(n * pct) - if idx not in sample_indices: - sample_indices.append(idx) - sample_indices.append(n - 1) - - for idx in sorted(set(sample_indices)): - entry = data_entries[idx] - shot = entry.get("shot", {}) - graph_summary.append( - { - "time_s": round(entry.get("time", 0) / 1000, 1), - "pressure": round(shot.get("pressure", 0), 1), - "flow": round( - shot.get("flow", 0) or shot.get("gravimetric_flow", 0), 1 - ), - "weight": round(shot.get("weight", 0), 1), - "stage": entry.get("status", ""), - } - ) - - return { - "shot_summary": { - "total_time_s": overall.get("total_time"), - "final_weight_g": weight_analysis.get("actual"), - "target_weight_g": weight_analysis.get("target"), - "weight_deviation_pct": weight_analysis.get("deviation_percent"), - "max_pressure_bar": overall.get("max_pressure"), - "max_flow_mls": overall.get("max_flow"), - "temperature_c": profile_data.get("temperature"), - }, - "stages": stage_summaries, - "unreached_stages": local_analysis.get("unreached_stages", []), - "preinfusion": { - "total_time_s": preinfusion.get("total_time"), - "percent_of_shot": preinfusion.get("proportion_of_shot"), - "weight_accumulated_g": preinfusion.get("weight_accumulated"), - }, - "variables": variables, - "graph_samples": graph_summary, - } - - -# ============================================================================ -# Profile Description -# ============================================================================ - - -async def _generate_profile_description(profile_json: dict, request_id: str) -> str: - """Generate a description for a profile using the LLM with profiling knowledge.""" - - profile_name = profile_json.get("name", "Unknown Profile") - - # Build a prompt with profiling knowledge and profile details - prompt = f"""You are an expert espresso barista analysing profiles for the Meticulous Espresso Machine. - -## Expert Profiling Knowledge -{PROFILING_KNOWLEDGE} - -Analyze this Meticulous Espresso profile and generate a description in the standard MeticAI format. - -PROFILE JSON: -```json -{json.dumps(profile_json, indent=2)} -``` - -Generate a response in this exact format: - -Profile Created: {profile_name} - -Description: -[Describe what makes this profile unique and what flavor characteristics it targets. Be specific about the extraction approach.] - -Preparation: -• Dose: [Recommended dose based on profile settings] -• Grind: [Grind recommendation based on flow rates and pressure curves] -• Temperature: [From profile or recommendation] -• Target Yield: [From profile final_weight or recommendation] -• Expected Time: [Based on stage durations] - -Why This Works: -[Explain the science behind the profile design - why the pressure curves, flow rates, and staging work together] - -Special Notes: -[Any specific requirements or tips for using this profile] - -Be concise but informative. Focus on actionable barista guidance. - -Use concrete numeric values with units (for example 9 bar, 2.0 ml/s, 30 s). Never output raw variable placeholders such as $name$ and never mention internal stage keys.""" - - prompt += _AI_TAGS_PROMPT - - try: - model = get_vision_model() - response = await model.async_generate_content(prompt) - text = getattr(response, "text", "") if response else "" - if text and text.strip(): - variables = profile_json.get("variables") or [] - return DescriptionResult( - resolve_description_placeholders( - strip_tags_line(text.strip()), variables - ), - parse_ai_tags(text), - ) - except ValueError: - logger.info( - "Gemini API key not configured, using static profile description fallback", - extra={"request_id": request_id, "profile_name": profile_name}, - ) - except Exception: - logger.warning( - "AI profile description generation failed, using static fallback", - extra={"request_id": request_id, "profile_name": profile_name}, - exc_info=True, - ) - - return _build_static_profile_description(profile_json) - - -def _build_static_profile_description(profile_json: dict) -> str: - """Build a non-AI profile description for environments without Gemini. - - Uses profile metadata and stage analysis to identify common extraction - techniques (pre-infusion, bloom, flat, ramp, etc.) so the description - reads more naturally than a plain parameter dump. - """ - profile_name = profile_json.get("name", "Imported Profile") - temperature = profile_json.get("temperature") - final_weight = profile_json.get("final_weight") - stages = profile_json.get("stages") or [] - existing_description = ( - profile_json.get("description") - or profile_json.get("notes") - or profile_json.get("summary") - ) - - if existing_description: - description = str(existing_description).strip() - else: - # ── Identify common shot types from stage structure ────────────── - shot_traits: list[str] = [] - for i, stage in enumerate(stages): - if not isinstance(stage, dict): - continue - sname = (stage.get("name") or "").lower() - dynamics = stage.get("dynamics", "") - stage.get("sensor", "") - points = stage.get("dynamics_points") if isinstance(stage, dict) else None - - # Pre-infusion: first stage with low pressure or named so - if i == 0 and ("pre" in sname or "infus" in sname): - shot_traits.append("pre-infusion") - elif "bloom" in sname or "soak" in sname: - shot_traits.append("bloom") - elif "ramp" in sname or dynamics == "ramp": - shot_traits.append("ramp") - elif "flat" in sname or dynamics == "flat": - shot_traits.append("flat") - elif "decline" in sname or "taper" in sname: - shot_traits.append("decline") - - # Detect flat pressure at ~9 bar (classic espresso) - if isinstance(points, list) and len(points) >= 2: - try: - pressures = [ - float(p[1]) - for p in points - if isinstance(p, list) and len(p) >= 2 - ] - if pressures and all( - abs(p - pressures[0]) < 0.3 for p in pressures - ): - if 8.0 <= pressures[0] <= 10.0 and "flat" not in shot_traits: - shot_traits.append("flat") - except (ValueError, TypeError): - pass - - # Build a natural-sounding description - description_parts = [] - if stages: - stage_count_text = f"{len(stages)}-stage" - if shot_traits: - trait_str = ", ".join( - dict.fromkeys(shot_traits) - ) # dedupe, preserve order - description_parts.append( - f"A {stage_count_text} extraction featuring {trait_str}" - ) - else: - description_parts.append(f"A {stage_count_text} extraction profile") - if temperature is not None: - description_parts.append(f"brewed at {temperature}°C") - if final_weight is not None: - description_parts.append(f"targeting ~{final_weight}g yield") - description = ( - " ".join(description_parts) + "." - if description_parts - else "Profile imported successfully." - ) - - expected_time = "Not specified" - try: - total_stage_time = 0.0 - for stage in stages: - points = stage.get("dynamics_points") if isinstance(stage, dict) else None - if isinstance(points, list) and points: - last = points[-1] - if isinstance(last, list) and last: - total_stage_time += float(last[0]) - if total_stage_time > 0: - expected_time = f"~{round(total_stage_time)}s" - except Exception: - pass - - temp_text = f"{temperature}°C" if temperature is not None else "Use profile default" - yield_text = ( - f"{final_weight}g" if final_weight is not None else "Use profile default" - ) - - return ( - f"Profile Created: {profile_name}\n\n" - f"Description:\n" - f"{description}\n\n" - f"Preparation:\n" - f"• Dose: Use your standard recipe dose\n" - f"• Grind: Dial in to hit target flow and pressure\n" - f"• Temperature: {temp_text}\n" - f"• Target Yield: {yield_text}\n" - f"• Expected Time: {expected_time}\n\n" - f"Why This Works:\n" - f"This is a summary generated from the profile's stage structure and metadata. " - f"Enable AI features in Settings and configure a Gemini API key for a detailed " - f"barista-level analysis with expert brewing recommendations.\n\n" - f"Special Notes:\n" - f"This description was generated without AI assistance and may not capture " - f"all nuances of the extraction design. You can generate a full AI-powered " - f'description using the "Generate AI descriptions" button in the profile view ' - f"(requires AI features to be enabled in Settings)." - ) diff --git a/apps/server/services/analysis_validator.py b/apps/server/services/analysis_validator.py deleted file mode 100644 index 6529c6ab..00000000 --- a/apps/server/services/analysis_validator.py +++ /dev/null @@ -1,56 +0,0 @@ -"""Anti-hallucination / semantic validator for shot-analysis output (K4 server parity). - -Mirror of validateAgainstFacts in apps/web/src/lib/analysisLint.ts — keep rules identical. -High precision: only flag clear contradictions of the deterministic ShotFacts. -""" - -from __future__ import annotations - -import re - -from analysis_schema import REQUIRED_ANALYSIS_SECTIONS - -_EARLY_EXIT_PATTERNS = [ - re.compile(r"terminat\w*\s+early", re.I), - re.compile(r"\bearly\s+terminat", re.I), - re.compile(r"ended?\s+(too\s+)?(early|prematurely)", re.I), - re.compile(r"\bcut\s+short\b", re.I), - re.compile(r"stopped?\s+before\s+reaching", re.I), -] -_CHANNELING_ASSERTION = re.compile(r"\bchannel(?:ing|ed|s)?\b", re.I) -_CHANNELING_NEGATION = re.compile( - r"\b(no|not|without|absence of|isn'?t|wasn'?t)\b[^.]{0,30}channel", re.I -) - - -def validate_against_facts(text: str, facts: dict) -> dict: - """Return {'valid': bool, 'issues': list[str]}.""" - issues: list[str] = [] - body = text or "" - stages = facts.get("stages", []) - - has_targeted_weight_exit = any( - s.get("reached") - and s.get("trigger_type") == "weight" - and (s.get("trigger_class") or {}).get("kind") == "targeted" - for s in stages - ) - if has_targeted_weight_exit and any(p.search(body) for p in _EARLY_EXIT_PATTERNS): - issues.append("mischaracterized-targeted-exit") - - any_channeling = any((s.get("channeling") or {}).get("channeling") for s in stages) - if ( - not any_channeling - and _CHANNELING_ASSERTION.search(body) - and not _CHANNELING_NEGATION.search(body) - ): - issues.append("unsupported-channeling") - - return {"valid": len(issues) == 0, "issues": issues} - - -def check_structure(text: str) -> dict: - """Verify the analysis contains each required section title (L1).""" - body = (text or "").lower() - missing = [s for s in REQUIRED_ANALYSIS_SECTIONS if s.lower() not in body] - return {"valid": not missing, "issues": ["missing-sections"] if missing else []} diff --git a/apps/server/services/bridge_service.py b/apps/server/services/bridge_service.py deleted file mode 100644 index b8109e0f..00000000 --- a/apps/server/services/bridge_service.py +++ /dev/null @@ -1,121 +0,0 @@ -"""Bridge service — monitors MQTT broker and meticulous-bridge health.""" - -import logging -import os -import subprocess -from typing import Any, Dict - -logger = logging.getLogger(__name__) - -TEST_MODE = os.environ.get("TEST_MODE") == "true" - - -def _is_process_running(process_name: str) -> bool: - """Check if a process is running by name (via pgrep).""" - if TEST_MODE: - return False - try: - result = subprocess.run( - ["pgrep", "-f", process_name], - capture_output=True, - text=True, - timeout=5, - ) - return result.returncode == 0 - except (subprocess.TimeoutExpired, FileNotFoundError): - return False - - -def _check_s6_service(service_name: str) -> str: - """Check s6 service status. Returns 'running', 'down', or 'unknown'.""" - if TEST_MODE: - return "unknown" - service_path = f"/run/service/{service_name}" - try: - result = subprocess.run( - ["s6-svstat", service_path], - capture_output=True, - text=True, - timeout=5, - ) - if result.returncode == 0: - output = result.stdout.strip() - if "up" in output: - return "running" - elif "down" in output: - return "down" - return "unknown" - except (subprocess.TimeoutExpired, FileNotFoundError): - return "unknown" - - -def _check_mqtt_port(host: str = "127.0.0.1", port: int = 1883) -> bool: - """Check if the MQTT broker port is accepting connections.""" - if TEST_MODE: - return False - import socket as sock - - try: - with sock.create_connection((host, port), timeout=2): - return True - except (OSError, ConnectionRefusedError): - return False - - -def get_bridge_status() -> Dict[str, Any]: - """Get the full status of the MQTT bridge infrastructure. - - Returns a dict with: - - mqtt_enabled: whether MQTT is configured to be enabled - - mosquitto: status of the MQTT broker service - - bridge: status of the meticulous-bridge service - - mqtt_port_open: whether the MQTT port is accepting connections - """ - mqtt_enabled = os.environ.get("MQTT_ENABLED", "true").lower() == "true" - mqtt_host = os.environ.get("MQTT_HOST", "127.0.0.1") - mqtt_port = int(os.environ.get("MQTT_PORT", "1883")) - - return { - "mqtt_enabled": mqtt_enabled, - "mosquitto": { - "service": _check_s6_service("mosquitto"), - "port_open": _check_mqtt_port(mqtt_host, mqtt_port), - "host": mqtt_host, - "port": mqtt_port, - }, - "bridge": { - "service": _check_s6_service("meticulous-bridge"), - }, - } - - -def restart_bridge_service() -> bool: - """Restart the meticulous-bridge s6 service. - - Returns True if the restart command succeeded. - """ - if TEST_MODE: - return True - try: - logger.info("Restarting meticulous-bridge s6 service…") - result = subprocess.run( - ["s6-svc", "-r", "/run/service/meticulous-bridge"], - capture_output=True, - text=True, - timeout=10, - ) - if result.returncode == 0: - logger.info("Bridge service restart initiated successfully") - else: - logger.warning( - "Bridge restart failed (rc=%d): %s", - result.returncode, - result.stderr.strip() or result.stdout.strip(), - ) - return result.returncode == 0 - except subprocess.TimeoutExpired: - logger.error("Bridge restart timed out after 10 s") - return False - except FileNotFoundError: - logger.error("s6-svc not found — not running inside s6-overlay container") - return False diff --git a/apps/server/services/cache_service.py b/apps/server/services/cache_service.py deleted file mode 100644 index 61df282e..00000000 --- a/apps/server/services/cache_service.py +++ /dev/null @@ -1,368 +0,0 @@ -"""Cache service for managing LLM analysis, shot history, and profile image caches. - -This module provides caching functionality for: -- LLM analysis results (with TTL-based expiration) -- Shot history data (with staleness tracking) -- Profile images (binary file cache) -""" - -import json -import time -from typing import Optional -from logging_config import get_logger - -from config import DATA_DIR, LLM_CACHE_TTL_SECONDS, SHOT_CACHE_STALE_SECONDS -from utils.file_utils import atomic_write_json -from utils.sanitization import sanitize_profile_name_for_filename - -logger = get_logger() - -# ============================================ -# LLM Analysis Cache Configuration -# ============================================ - -LLM_CACHE_FILE = DATA_DIR / "llm_analysis_cache.json" - -# In-memory cache (loaded from disk on first access, write-through on save) -_llm_cache: Optional[dict] = None - - -def _ensure_llm_cache_file(): - """Ensure the LLM cache file and directory exist.""" - LLM_CACHE_FILE.parent.mkdir(parents=True, exist_ok=True) - if not LLM_CACHE_FILE.exists(): - LLM_CACHE_FILE.write_text("{}") - - -def _load_llm_cache() -> dict: - """Load LLM analysis cache, using in-memory copy when available.""" - global _llm_cache - if _llm_cache is not None: - return _llm_cache - _ensure_llm_cache_file() - try: - data = json.loads(LLM_CACHE_FILE.read_text()) - except (json.JSONDecodeError, IOError): - data = None - if not isinstance(data, dict): - data = {} - _llm_cache = data - return _llm_cache - - -def _save_llm_cache(cache: dict): - """Write-through: update in-memory cache and persist to disk.""" - global _llm_cache - _llm_cache = cache - _ensure_llm_cache_file() - atomic_write_json(LLM_CACHE_FILE, cache) - - -def _get_llm_cache_key(profile_name: str, shot_date: str, shot_filename: str) -> str: - """Generate a cache key for LLM analysis.""" - return f"{profile_name}_{shot_date}_{shot_filename}" - - -def get_cached_llm_analysis( - profile_name: str, shot_date: str, shot_filename: str -) -> Optional[str]: - """Get cached LLM analysis if it exists and is not expired.""" - cache = _load_llm_cache() - key = _get_llm_cache_key(profile_name, shot_date, shot_filename) - - if key in cache: - entry = cache[key] - timestamp = entry.get("timestamp", 0) - now = time.time() - - if now - timestamp < LLM_CACHE_TTL_SECONDS: - return entry.get("analysis") - else: - # Expired - remove from cache - del cache[key] - _save_llm_cache(cache) - - return None - - -def save_llm_analysis_to_cache( - profile_name: str, shot_date: str, shot_filename: str, analysis: str -): - """Save LLM analysis to cache.""" - cache = _load_llm_cache() - key = _get_llm_cache_key(profile_name, shot_date, shot_filename) - - cache[key] = { - "analysis": analysis, - "timestamp": time.time(), - "profile_name": profile_name, - "shot_date": shot_date, - "shot_filename": shot_filename, - } - - _save_llm_cache(cache) - - -# ============================================ -# Shot History Cache Management -# ============================================ - -SHOT_CACHE_FILE = DATA_DIR / "shot_cache.json" - -# In-memory cache (loaded from disk on first access, write-through on save) -_shot_cache: Optional[dict] = None - - -def _ensure_shot_cache_file(): - """Ensure the shot cache file and directory exist.""" - SHOT_CACHE_FILE.parent.mkdir(parents=True, exist_ok=True) - if not SHOT_CACHE_FILE.exists(): - SHOT_CACHE_FILE.write_text("{}") - - -def _load_shot_cache() -> dict: - """Load shot cache, using in-memory copy when available.""" - global _shot_cache - if _shot_cache is not None: - return _shot_cache - _ensure_shot_cache_file() - try: - with open(SHOT_CACHE_FILE, "r", encoding="utf-8") as f: - data = json.load(f) - except (json.JSONDecodeError, FileNotFoundError): - data = None - if not isinstance(data, dict): - data = {} - _shot_cache = data - return _shot_cache - - -def _save_shot_cache(cache: dict): - """Write-through: update in-memory cache and persist to disk.""" - global _shot_cache - _shot_cache = cache - _ensure_shot_cache_file() - atomic_write_json(SHOT_CACHE_FILE, cache) - - -def _get_cached_shots( - profile_name: str, limit: int -) -> tuple[Optional[dict], bool, Optional[float]]: - """Get cached shots for a profile. - - Returns a tuple of (cached_data, is_stale, cached_at_timestamp). - - cached_data: The cached response data, or None if no cache exists - - is_stale: True if cache is older than SHOT_CACHE_STALE_SECONDS - - cached_at: Unix timestamp of when cache was created - - Cache is stored indefinitely but marked stale after 60 minutes. - """ - cache = _load_shot_cache() - cache_key = profile_name.lower() - - if cache_key not in cache: - return None, False, None - - cached_entry = cache[cache_key] - cached_time = cached_entry.get("cached_at", 0) - cached_limit = cached_entry.get("limit", 0) - - # Check if limit matches (requesting more than cached = cache miss) - if limit > cached_limit: - return None, False, None - - # Check if cache is stale (older than 60 minutes) - is_stale = time.time() - cached_time > SHOT_CACHE_STALE_SECONDS - - return cached_entry.get("data"), is_stale, cached_time - - -def _set_cached_shots(profile_name: str, data: dict, limit: int): - """Store shots in cache for a profile.""" - cache = _load_shot_cache() - cache_key = profile_name.lower() - - cache[cache_key] = {"cached_at": time.time(), "limit": limit, "data": data} - - _save_shot_cache(cache) - - -# ============================================ -# Shot Profile Index -# ============================================ -# Persistent mapping: "date/filename" → {name, profile_id, weight, time_ms, timestamp} -# Built incrementally — each shot file is fetched at most once. - -SHOT_INDEX_FILE = DATA_DIR / "shot_profile_index.json" - -_shot_index: Optional[dict] = None - - -def _load_shot_index() -> dict: - """Load shot profile index from disk/memory.""" - global _shot_index - if _shot_index is not None: - return _shot_index - SHOT_INDEX_FILE.parent.mkdir(parents=True, exist_ok=True) - try: - if SHOT_INDEX_FILE.exists(): - with open(SHOT_INDEX_FILE, "r", encoding="utf-8") as f: - data = json.load(f) - if isinstance(data, dict) and "entries" in data: - _shot_index = data - return _shot_index - except (json.JSONDecodeError, IOError): - pass - _shot_index = {"entries": {}, "indexed_dates": []} - return _shot_index - - -def _save_shot_index(): - """Write shot profile index to disk.""" - if _shot_index is None: - return - SHOT_INDEX_FILE.parent.mkdir(parents=True, exist_ok=True) - atomic_write_json(SHOT_INDEX_FILE, _shot_index) - - -def get_indexed_shot_metadata(key: str) -> Optional[dict]: - """Look up metadata for a single shot by 'date/filename' key.""" - idx = _load_shot_index() - return idx["entries"].get(key) - - -def get_indexed_dates() -> set: - """Return the set of dates already indexed.""" - idx = _load_shot_index() - return set(idx.get("indexed_dates", [])) - - -def update_shot_index(new_entries: dict, new_dates: list): - """Merge new entries into the index and persist.""" - idx = _load_shot_index() - idx["entries"].update(new_entries) - existing = set(idx.get("indexed_dates", [])) - existing.update(new_dates) - idx["indexed_dates"] = sorted(existing) - _save_shot_index() - - -def lookup_shots_by_profile(profile_name: str, limit: int = 20) -> Optional[list]: - """Return shots for a profile from the index, or None if index is empty.""" - idx = _load_shot_index() - entries = idx.get("entries", {}) - if not entries: - return None - - matches = [] - for key, meta in entries.items(): - if meta.get("name", "").lower() == profile_name.lower(): - parts = key.split("/", 1) - if len(parts) == 2: - matches.append({ - "date": parts[0], - "filename": parts[1], - "timestamp": meta.get("timestamp"), - "profile_name": meta["name"], - "profile_id": meta.get("profile_id", ""), - "final_weight": meta.get("weight"), - "total_time": meta["time_ms"] / 1000 if meta.get("time_ms") else None, - }) - - # Sort newest first - matches.sort(key=lambda x: x.get("timestamp") or "", reverse=True) - return matches[:limit] - - -def get_all_indexed_shots(limit: int = 50, offset: int = 0) -> Optional[list]: - """Return all indexed shots sorted newest-first, or None if empty.""" - idx = _load_shot_index() - entries = idx.get("entries", {}) - if not entries: - return None - - all_shots = [] - for key, meta in entries.items(): - parts = key.split("/", 1) - if len(parts) == 2: - all_shots.append({ - "date": parts[0], - "filename": parts[1], - "timestamp": meta.get("timestamp"), - "profile_name": meta.get("name", ""), - "profile_id": meta.get("profile_id", ""), - "final_weight": meta.get("weight"), - "total_time": meta["time_ms"] / 1000 if meta.get("time_ms") else None, - }) - - all_shots.sort(key=lambda x: x.get("timestamp") or "", reverse=True) - return all_shots[offset:offset + limit] - - -# ============================================ -# Profile Image Cache Management -# ============================================ - -IMAGE_CACHE_DIR = DATA_DIR / "image_cache" - - -def _ensure_image_cache_dir(): - """Ensure the image cache directory exists.""" - IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True) - - -def _get_cached_image(profile_name: str) -> Optional[bytes]: - """Get cached image for a profile if it exists. - - Returns the image bytes or None if not cached. - """ - _ensure_image_cache_dir() - safe_name = sanitize_profile_name_for_filename(profile_name) - cache_file = IMAGE_CACHE_DIR / f"{safe_name}.png" - - # Security check: ensure the resolved path is still within IMAGE_CACHE_DIR - try: - cache_file_resolved = cache_file.resolve() - if not str(cache_file_resolved).startswith(str(IMAGE_CACHE_DIR.resolve())): - logger.warning( - f"Path traversal attempt detected for profile: {profile_name}" - ) - return None - except Exception as e: - logger.warning(f"Failed to resolve cache path for {profile_name}: {e}") - return None - - if cache_file.exists(): - try: - return cache_file.read_bytes() - except Exception as e: - logger.warning(f"Failed to read cached image for {profile_name}: {e}") - return None - return None - - -def _set_cached_image(profile_name: str, image_data: bytes): - """Store image in cache for a profile.""" - _ensure_image_cache_dir() - safe_name = sanitize_profile_name_for_filename(profile_name) - cache_file = IMAGE_CACHE_DIR / f"{safe_name}.png" - - # Security check: ensure the resolved path is still within IMAGE_CACHE_DIR - try: - cache_file_resolved = cache_file.resolve() - if not str(cache_file_resolved).startswith(str(IMAGE_CACHE_DIR.resolve())): - logger.warning( - f"Path traversal attempt detected for profile: {profile_name}" - ) - return - except Exception as e: - logger.warning(f"Failed to resolve cache path for {profile_name}: {e}") - return - - try: - cache_file.write_bytes(image_data) - logger.info( - f"Cached image for profile: {profile_name} ({len(image_data)} bytes)" - ) - except Exception as e: - logger.warning(f"Failed to cache image for {profile_name}: {e}") diff --git a/apps/server/services/compass_rules.py b/apps/server/services/compass_rules.py deleted file mode 100644 index a6826d85..00000000 --- a/apps/server/services/compass_rules.py +++ /dev/null @@ -1,74 +0,0 @@ -"""Deterministic Espresso-Compass taste -> dial-in adjustment rules (D6). - -X axis: -1 sour ... +1 bitter. Y axis: -1 weak/thin ... +1 strong/heavy. -Mirrors apps/web/src/lib/compassRules.ts and the domain knowledge in -prompt_builder.build_taste_context. Pure function — no I/O. -""" - -from __future__ import annotations - -DEADBAND = 0.25 # within this radius of center, taste is considered balanced - - -def compass_adjustments(taste_x: float, taste_y: float) -> list[dict]: - """Return ordered, concrete adjustment suggestions for the given taste vector.""" - adjustments: list[dict] = [] - - # X axis — acidity/bitterness balance, primarily extraction yield. - if taste_x <= -DEADBAND: # too sour -> under-extracted -> extract more - adjustments.append( - { - "kind": "grind_finer", - "axis": "x", - "reason": "Sour/acidic indicates under-extraction; grind finer to raise yield.", - } - ) - adjustments.append( - { - "kind": "temp_up", - "axis": "x", - "reason": "A few degrees hotter increases extraction of sweet/bitter compounds.", - } - ) - elif taste_x >= DEADBAND: # too bitter -> over-extracted -> extract less - adjustments.append( - { - "kind": "grind_coarser", - "axis": "x", - "reason": "Bitter/harsh indicates over-extraction; grind coarser to lower yield.", - } - ) - adjustments.append( - { - "kind": "temp_down", - "axis": "x", - "reason": "A few degrees cooler reduces harsh bitter extraction.", - } - ) - - # Y axis — strength/body, primarily ratio/dose. - if taste_y <= -DEADBAND: # too weak/thin -> increase concentration - adjustments.append( - { - "kind": "ratio_up", - "axis": "y", - "reason": "Weak/thin body; lower the brew ratio (less water per dose) for more concentration.", - } - ) - adjustments.append( - { - "kind": "dose_up", - "axis": "y", - "reason": "A larger dose increases strength and body.", - } - ) - elif taste_y >= DEADBAND: # too strong/heavy -> dilute - adjustments.append( - { - "kind": "ratio_down", - "axis": "y", - "reason": "Strong/heavy; raise the brew ratio (more water per dose) to lighten.", - } - ) - - return adjustments diff --git a/apps/server/services/decent_converter.py b/apps/server/services/decent_converter.py deleted file mode 100644 index c39aec78..00000000 --- a/apps/server/services/decent_converter.py +++ /dev/null @@ -1,229 +0,0 @@ -"""Decent Espresso profile converter. - -Converts Decent Espresso profile JSON (v2 format) to the Meticulous -espresso-profile-schema format used by the Meticulous machine. - -Decent profiles use a flat "steps" array with "pump" mode to indicate -whether a step targets flow or pressure. Meticulous profiles use a -"stages" array where each stage has a "type" field ("flow" or "pressure") -and structured "dynamics", "exit_triggers", and "limits" sub-objects. -""" - -import logging -import uuid -from typing import Any - -logger = logging.getLogger(__name__) - - -def detect_decent_format(data: Any) -> bool: - """Detect if a profile dict is in Decent Espresso format. - - Decent profiles are characterised by a top-level ``steps`` array - where individual steps contain ``pump`` and/or ``sensor`` fields - (neither of which exists in the Meticulous schema). - """ - if not isinstance(data, dict): - return False - steps = data.get("steps") - if not steps or not isinstance(steps, list): - return False - return any( - isinstance(s, dict) and ("pump" in s or "sensor" in s) - for s in steps - ) - - -def convert_decent_to_meticulous(data: dict) -> dict: - """Convert a Decent Espresso profile to Meticulous format. - - Returns a dict with two keys: - - ``profile``: the converted Meticulous profile dict (ready for - ``_normalize_profile_for_machine``). - - ``warnings``: a list of human-readable warning strings about - lossy or unsupported conversions. - """ - warnings: list[str] = [] - stages: list[dict] = [] - - for i, step in enumerate(data.get("steps", [])): - if not isinstance(step, dict): - warnings.append(f"Step {i}: not a dict, skipped") - continue - stage = _convert_step(step, i, warnings) - if stage: - stages.append(stage) - - if not stages: - warnings.append("No stages could be converted") - - # Build the top-level Meticulous profile - profile: dict[str, Any] = { - "id": str(uuid.uuid4()), - "name": data.get("title", "Imported Decent Profile"), - "author": data.get("author", "Decent Import"), - "temperature": _first_temperature(data), - "final_weight": _first_weight_target(data), - "stages": stages, - "variables": [], - "previous_authors": [], - } - - notes = data.get("notes", "") - if notes: - profile["display"] = { - "description": notes, - "shortDescription": notes[:99] if len(notes) > 99 else notes, - } - - return {"profile": profile, "warnings": warnings} - - -# ── Internal helpers ───────────────────────────────────────────────────────── - - -def _first_temperature(data: dict) -> float: - """Extract the first temperature value from a Decent profile.""" - for step in data.get("steps", []): - if isinstance(step, dict) and "temperature" in step: - try: - return float(step["temperature"]) - except (ValueError, TypeError): - pass - return 93.0 - - -def _first_weight_target(data: dict) -> float: - """Extract the first weight exit target (final_weight) from a Decent profile.""" - for step in data.get("steps", []): - if not isinstance(step, dict): - continue - exit_cond = step.get("exit", {}) - weight = _find_weight_in_exit(exit_cond) - if weight is not None: - return weight - return 36.0 - - -def _find_weight_in_exit(exit_data: dict | None) -> float | None: - """Recursively search exit conditions for a weight target.""" - if not exit_data or not isinstance(exit_data, dict): - return None - if exit_data.get("type") == "weight_over": - try: - return float(exit_data["condition"]) - except (ValueError, TypeError, KeyError): - pass - return _find_weight_in_exit(exit_data.get("or")) - - -def _convert_step(step: dict, index: int, warnings: list[str]) -> dict | None: - """Convert a single Decent step to a Meticulous stage.""" - pump = step.get("pump", "pressure") - - # Determine stage type - if pump == "flow": - stage_type = "flow" - elif pump == "pressure": - stage_type = "pressure" - else: - warnings.append( - f"Step {index}: unknown pump type '{pump}', defaulting to pressure" - ) - stage_type = "pressure" - - stage: dict[str, Any] = { - "name": step.get("name", f"Stage {index + 1}"), - "type": stage_type, - "key": f"{stage_type}_{index}", - "temperature": step.get("temperature", 93.0), - "limits": [], - } - - # Build dynamics - if stage_type == "flow": - target_value = _safe_float(step.get("flow"), 4.0) - else: - target_value = _safe_float(step.get("pressure"), 9.0) - - # Handle ramp transitions: if "smooth" and the step has seconds, - # create two points [0, start] → [seconds, target]. - transition = step.get("transition", "fast") - seconds = _safe_float(step.get("seconds"), 0) - - if transition == "smooth" and seconds > 0: - points = [[0.0, 0.0], [seconds, target_value]] - else: - points = [[0.0, target_value]] - - stage["dynamics"] = { - "type": stage_type, - "over": "time", - "interpolation": "linear", - "points": points, - } - - # Map exit conditions - exit_cond = step.get("exit", {}) - stage["exit_triggers"] = _convert_exit(exit_cond, index, warnings) - - # If there are no exit triggers but a seconds value, add a time trigger - if not stage["exit_triggers"] and seconds > 0: - stage["exit_triggers"] = [ - {"type": "time", "value": seconds, "relative": True, "comparison": ">="} - ] - - return stage - - -def _convert_exit( - exit_data: dict | None, step_index: int, warnings: list[str] -) -> list[dict]: - """Convert Decent exit conditions to Meticulous exit triggers.""" - triggers: list[dict] = [] - if not exit_data or not isinstance(exit_data, dict): - return triggers - - exit_type = exit_data.get("type", "") - condition = _safe_float(exit_data.get("condition"), 0) - - type_map: dict[str, tuple[str, str | None]] = { - "pressure_over": ("pressure", "above"), - "pressure_under": ("pressure", "below"), - "flow_over": ("flow", "above"), - "flow_under": ("flow", "below"), - "time_over": ("time", None), - "weight_over": ("weight", None), - "volume_over": ("volume", None), - } - - if exit_type in type_map: - mapped_type, direction = type_map[exit_type] - trigger: dict[str, Any] = { - "type": mapped_type, - "value": condition, - "relative": mapped_type == "time", - "comparison": ">=", - } - if direction: - trigger["direction"] = direction - triggers.append(trigger) - elif exit_type: - warnings.append(f"Step {step_index}: unknown exit type '{exit_type}'") - - # Handle chained OR conditions - or_cond = exit_data.get("or") - if or_cond and isinstance(or_cond, dict): - triggers.extend(_convert_exit(or_cond, step_index, warnings)) - - return triggers - - -def _safe_float(value: Any, default: float = 0.0) -> float: - """Safely convert a value to float, returning default on failure.""" - if value is None: - return default - try: - return float(value) - except (ValueError, TypeError): - return default diff --git a/apps/server/services/dialin_service.py b/apps/server/services/dialin_service.py deleted file mode 100644 index e6862b80..00000000 --- a/apps/server/services/dialin_service.py +++ /dev/null @@ -1,277 +0,0 @@ -"""Dial-In Guide session management service.""" - -from __future__ import annotations - -import asyncio -import json -from logging_config import get_logger -from datetime import datetime, timedelta, timezone -from pathlib import Path -from typing import Optional -from uuid import uuid4 - -from config import DATA_DIR -from models.dialin import ( - CoffeeDetails, - DialInIteration, - DialInSession, - SessionStatus, - TasteFeedback, -) - -logger = get_logger() - -# In-memory session store keyed by session id -_sessions: dict[str, DialInSession] = {} - -# Bounds: max sessions in memory and TTL for completed sessions -MAX_SESSIONS = 200 -COMPLETED_SESSION_TTL = timedelta(days=7) - -# Module-level asyncio lock with lazy creation. -# Recreated when the running event loop changes so that tests using a new -# loop per function don't hit "attached to a different loop". -_state_lock: Optional[asyncio.Lock] = None -_state_lock_loop: Optional[asyncio.AbstractEventLoop] = None - - -def _get_state_lock() -> asyncio.Lock: - """Return the module-level state lock, (re)creating it when needed.""" - global _state_lock, _state_lock_loop - try: - running_loop = asyncio.get_running_loop() - except RuntimeError: - running_loop = None - - if _state_lock is None or ( - running_loop is not None and running_loop is not _state_lock_loop - ): - _state_lock = asyncio.Lock() - _state_lock_loop = running_loop - return _state_lock - - -# --------------------------------------------------------------------------- -# Persistence helpers -# --------------------------------------------------------------------------- - -_PERSISTENCE_FILE: Path = DATA_DIR / "dialin_sessions.json" - - -async def _persist() -> None: - """Write active sessions to disk atomically (tmp + rename).""" - try: - DATA_DIR.mkdir(parents=True, exist_ok=True) - - active = { - sid: session.model_dump(mode="json") - for sid, session in _sessions.items() - if session.status == SessionStatus.ACTIVE - } - - tmp = _PERSISTENCE_FILE.with_suffix(".tmp") - with open(tmp, "w") as f: - json.dump(active, f, indent=2) - tmp.replace(_PERSISTENCE_FILE) - - logger.debug("Persisted %d active dial-in sessions", len(active)) - except Exception as e: - logger.error("Failed to persist dial-in sessions: %s", e, exc_info=True) - - -async def _load() -> None: - """Load sessions from disk on startup.""" - try: - if not _PERSISTENCE_FILE.exists(): - logger.info("No persisted dial-in sessions found (first run)") - return - - with open(_PERSISTENCE_FILE, "r") as f: - data = json.load(f) - - if not isinstance(data, dict): - logger.warning("Invalid dial-in sessions file format, ignoring") - return - - for sid, raw in data.items(): - try: - _sessions[sid] = DialInSession.model_validate(raw) - except Exception as e: - logger.warning("Skipping corrupt dial-in session %s: %s", sid, e) - - logger.info("Loaded %d dial-in sessions from disk", len(_sessions)) - except json.JSONDecodeError as e: - logger.error("Corrupt dial-in sessions file, ignoring: %s", e) - try: - backup = _PERSISTENCE_FILE.with_suffix(".corrupt") - _PERSISTENCE_FILE.rename(backup) - logger.info("Backed up corrupt file to %s", backup) - except Exception: - pass - except Exception as e: - logger.error("Failed to load dial-in sessions: %s", e, exc_info=True) - - -# --------------------------------------------------------------------------- -# Public API -# --------------------------------------------------------------------------- - - -def _prune_expired_sessions() -> int: - """Remove completed sessions older than COMPLETED_SESSION_TTL. - - Must be called while holding _get_state_lock(). - Returns number of sessions removed. - """ - now = datetime.now(timezone.utc) - expired = [ - sid - for sid, s in _sessions.items() - if s.status in (SessionStatus.COMPLETED, SessionStatus.ABANDONED) - and (now - s.updated_at) > COMPLETED_SESSION_TTL - ] - for sid in expired: - del _sessions[sid] - if expired: - logger.info("Pruned %d expired dial-in session(s)", len(expired)) - return len(expired) - - -async def create_session( - coffee: CoffeeDetails, - profile_name: Optional[str] = None, -) -> DialInSession: - """Create a new dial-in session. Returns the session with a UUID id.""" - now = datetime.now(timezone.utc) - session = DialInSession( - id=uuid4().hex[:12], - coffee=coffee, - profile_name=profile_name, - iterations=[], - status=SessionStatus.ACTIVE, - created_at=now, - updated_at=now, - ) - - async with _get_state_lock(): - # Prune expired sessions and enforce bounds - _prune_expired_sessions() - if len(_sessions) >= MAX_SESSIONS: - # Drop oldest completed sessions first, then oldest abandoned - oldest = sorted( - ( - (sid, s) - for sid, s in _sessions.items() - if s.status != SessionStatus.ACTIVE - ), - key=lambda x: x[1].updated_at, - ) - if oldest: - del _sessions[oldest[0][0]] - logger.warning( - "Evicted oldest non-active session to stay within bounds" - ) - - _sessions[session.id] = session - await _persist() - - logger.info("Created dial-in session %s", session.id) - return session - - -async def get_session(session_id: str) -> Optional[DialInSession]: - """Get session by id. Returns None if not found.""" - async with _get_state_lock(): - return _sessions.get(session_id) - - -async def list_sessions( - status: Optional[SessionStatus] = None, -) -> list[DialInSession]: - """List all sessions, optionally filtered by status.""" - async with _get_state_lock(): - if status is None: - return list(_sessions.values()) - return [s for s in _sessions.values() if s.status == status] - - -async def add_iteration( - session_id: str, - taste: TasteFeedback, - shot_ref: Optional[str] = None, -) -> DialInIteration: - """Add a taste iteration to a session. Auto-increments iteration_number.""" - async with _get_state_lock(): - session = _sessions.get(session_id) - if session is None: - raise ValueError(f"Session {session_id} not found") - if session.status != SessionStatus.ACTIVE: - raise ValueError(f"Session {session_id} is not active") - - iteration = DialInIteration( - iteration_number=len(session.iterations) + 1, - shot_ref=shot_ref, - taste=taste, - recommendations=[], - timestamp=datetime.now(timezone.utc), - ) - session.iterations.append(iteration) - session.updated_at = datetime.now(timezone.utc) - await _persist() - - logger.info( - "Added iteration %d to session %s", - iteration.iteration_number, - session_id, - ) - return iteration - - -async def update_recommendations( - session_id: str, - iteration_number: int, - recommendations: list[str], -) -> DialInIteration: - """Update the recommendations for a specific iteration.""" - async with _get_state_lock(): - session = _sessions.get(session_id) - if session is None: - raise ValueError(f"Session {session_id} not found") - - for iteration in session.iterations: - if iteration.iteration_number == iteration_number: - iteration.recommendations = recommendations - session.updated_at = datetime.now(timezone.utc) - await _persist() - return iteration - - raise ValueError( - f"Iteration {iteration_number} not found in session {session_id}" - ) - - -async def complete_session(session_id: str) -> DialInSession: - """Mark session as completed.""" - async with _get_state_lock(): - session = _sessions.get(session_id) - if session is None: - raise ValueError(f"Session {session_id} not found") - - session.status = SessionStatus.COMPLETED - session.updated_at = datetime.now(timezone.utc) - await _persist() - - logger.info("Completed dial-in session %s", session_id) - return session - - -async def delete_session(session_id: str) -> bool: - """Delete a session. Returns True if found and deleted.""" - async with _get_state_lock(): - if session_id not in _sessions: - return False - del _sessions[session_id] - await _persist() - - logger.info("Deleted dial-in session %s", session_id) - return True diff --git a/apps/server/services/gemini_service.py b/apps/server/services/gemini_service.py deleted file mode 100644 index 788a8623..00000000 --- a/apps/server/services/gemini_service.py +++ /dev/null @@ -1,845 +0,0 @@ -"""Gemini service for AI model configuration and prompt building.""" - -from google import genai -import asyncio -import hashlib -import os -import re -from typing import Optional -from services.settings_service import get_author_name -from logging_config import get_logger - -logger = get_logger() - - -class ModelUnavailableError(RuntimeError): - """Raised when no compatible Gemini model can be found.""" - - -# Lazy-loaded Gemini client -_gemini_client: Optional[genai.Client] = None -_DEFAULT_MODEL = "gemini-2.5-flash" - - -def get_model_name() -> str: - """Return the configured model name for the active provider, resolved now. - - For Gemini, reads ``GEMINI_MODEL`` from the environment on every call so - that hot-reloaded service restarts pick up changes (blank values fall back - to the default). For non-Gemini providers, delegates to the provider - registry (``AI_MODEL`` / provider default). - """ - from services.ai_providers import get_provider_model, is_gemini_active - - if not is_gemini_active(): - return get_provider_model() - value = os.environ.get("GEMINI_MODEL", "").strip() - return value or _DEFAULT_MODEL - - -async def validate_model(model_name: str) -> bool: - """Check if a model is available via the Gemini API.""" - try: - client = get_gemini_client() - except ValueError: - return False - try: - await asyncio.to_thread(client.models.get, model=model_name) - return True - except Exception as e: - logger.warning("Model %s unavailable: %s", model_name, e) - return False - - -async def get_available_models() -> list[dict]: - """Return list of available models suitable for text generation. - - For non-Gemini providers, delegates to the OpenAI-compatible provider's - ``/models`` endpoint; for Gemini, queries the Gemini SDK and filters to - text-capable models. - """ - from services.ai_providers import is_gemini_active, list_provider_models - - if not is_gemini_active(): - return await list_provider_models() - - try: - client = get_gemini_client() - except ValueError: - return [] - try: - models = await asyncio.to_thread(lambda: list(client.models.list())) - result = [] - for m in models: - if hasattr(m, "supported_actions") and "generateContent" in ( - m.supported_actions or [] - ): - if not _is_text_model(_model_short_name(m.name or "")): - continue - result.append( - { - "id": m.name, - "display_name": m.display_name or m.name, - "description": m.description or "", - } - ) - return result - except Exception as e: - logger.error("Failed to list models: %s", e) - return [] - - -# Name fragments that identify non-text model families to skip. -_NON_TEXT_FRAGMENTS = ( - "embedding", - "aqa", - "imagen", - "image", - "tts", - "computer-use", - "robotics", -) -# Patterns that mark a model as preview/experimental/dated-snapshot (unstable). -_UNSTABLE_RE = re.compile(r"(preview|experimental|-exp\b|exp$|-\d{2}-\d{2}|-\d{3,4}$)") - - -def _model_short_name(name: str) -> str: - """Strip a leading 'models/' prefix and lowercase.""" - return name.split("/")[-1].strip().lower() - - -def _is_text_model(short: str) -> bool: - """True only for Gemini text-chat models. - - Requires the ``gemini-`` prefix (excludes non-Gemini families such as - gemma, lyria, nano-banana, deep-research and antigravity) and rejects - special-purpose Gemini variants (image, tts, computer-use, robotics, …) - via ``_NON_TEXT_FRAGMENTS``. - """ - if not short.startswith("gemini-"): - return False - return not any(f in short for f in _NON_TEXT_FRAGMENTS) - - -def rank_models(models: list[dict]) -> Optional[str]: - """Pick the best generateContent-capable model from a discovered list. - - Heuristic: prefer stable over preview/experimental; within a tier prefer - flash > flash-lite > pro > other; within a class prefer the highest - gemini-. version. Returns the model id (without the - 'models/' prefix) or None if nothing compatible remains. - - The ``-\\d{3,4}$`` / dated-snapshot patterns in ``_UNSTABLE_RE`` intentionally - treat pinned version snapshots (e.g. ``gemini-2.0-flash-001``) as lower-priority - than the floating stable alias (e.g. ``gemini-2.5-flash``); this is by design so - the resolver prefers the auto-updating stable alias over a frozen snapshot. - - Model *class* (flash > flash-lite > pro > other) takes precedence over version - number — a lower-tier model of any generation beats a higher-tier model, because - cost and latency outweigh marginal quality for this summarization use case. - """ - candidates = [] - for m in models: - raw = m.get("id") or "" - short = _model_short_name(raw) - if not _is_text_model(short): - continue - candidates.append(short) - if not candidates: - return None - - def score(short: str): - unstable = 1 if _UNSTABLE_RE.search(short) else 0 - if "flash-lite" in short: - cls = 1 - elif "flash" in short: - cls = 0 - elif "pro" in short: - cls = 2 - else: - cls = 3 - vm = re.search(r"gemini-(\d+)\.(\d+)", short) - major, minor = (int(vm.group(1)), int(vm.group(2))) if vm else (0, 0) - # Lower tuple sorts first: stable, then class, then highest version, then name. - return (unstable, cls, -major, -minor, short) - - return min(candidates, key=score) - - -async def get_working_model() -> str: - """Return a working model id, validating the configured model first and - falling back to dynamic discovery via the live models list. - - Raises ModelUnavailableError when no compatible model can be found. - """ - configured = get_model_name() - if await validate_model(configured): - _validated_model_cache["model"] = configured - return configured - - logger.warning("Configured model '%s' unavailable, discovering alternatives…", configured) - best = rank_models(await get_available_models()) - if best: - logger.info("Selected fallback model via discovery: %s", best) - _validated_model_cache["model"] = best - return best - - logger.error("No compatible Gemini model found via discovery!") - raise ModelUnavailableError("No compatible Gemini model is available for this API key.") - - -# Cache for the last validated working model -_validated_model_cache: dict[str, str] = {} - - -def get_working_model_sync() -> str: - """Return cached working model or fall back to get_model_name(). - - Avoids async validation in sync contexts. The cache is populated - by ``get_working_model()`` (called at startup and via the /available-models - endpoint) so the first generation request always uses a validated model. - """ - return _validated_model_cache.get("model", get_model_name()) - - -def get_working_model_force() -> str: - """Synchronously re-resolve a working model, bypassing the cache. - - Runs the async resolver in a fresh event loop (safe because the SDK call - is already off the asyncio loop in a thread executor). - """ - _validated_model_cache.pop("model", None) - return asyncio.run(get_working_model()) - - -# Noise prefixes to filter from error messages (used by parse_gemini_error) -_GEMINI_NOISE_PREFIXES = ( - "YOLO mode is enabled", - "Hook registry initialized", - "Error executing tool ", -) - -# Shared espresso profiling knowledge for LLM context. -# Used by shot analysis, profile description generation, and description conversion. -# This is the full Advanced Espresso Profiling Guide, also served by the -# get_profiling_knowledge MCP tool (topic="guide"). -PROFILING_KNOWLEDGE = """# Advanced Espresso Profiling Guide for the Meticulous Machine - -This reference is designed for creating and executing precise espresso profiles using the Meticulous Home Espresso machine, a digitally controlled robotic lever system that offers unparalleled control over flow, pressure, and temperature. - -## 1. Core Concepts: A Deeper Dive - -To build precise profiles, a granular understanding of the key variables and their interplay is essential. The Meticulous machine controls these variables directly, rather than through manual approximation. - -### Variable Control - -**Flow Rate (ml/s)** - The Primary Driver of Extraction -- Controls the speed of water delivery to the puck -- Higher flow rate increases extraction speed and highlights acidity and clarity -- Lower flow rate allows longer contact time, building body and sweetness -- Meticulous Control: Digital motor controls lever descent, allowing direct flow rate programming - -**Pressure (bar)** - The Result of Flow vs. Resistance -- Pressure builds as water flow meets puck resistance -- Crucial for creating texture, mouthfeel, and crema -- High pressure increases body but risks channeling if not managed -- Meticulous Control: Can target specific pressure with sensors measuring force and motor adjusting lever - -**Temperature (°C)** - The Catalyst for Solubility -- Dictates which flavor compounds dissolve from coffee grounds -- Lighter roasts: Higher temperatures (92-96°C) needed for sweetness -- Darker roasts: Lower temperatures (82-90°C) reduce bitterness -- Meticulous Control: High-precision PID temperature control for boiler and heated grouphead - -### Understanding Puck Dynamics - -The coffee puck evolves throughout extraction: - -1. **Initial Saturation**: Dry grounds swell and release CO2. Uneven wetting causes channeling. -2. **Peak Resistance**: Early in shot, puck offers maximum resistance. -3. **Puck Erosion**: As compounds dissolve, puck integrity weakens, resistance decreases. -4. **Fines Migration**: Microscopic particles can clog filter, temporarily increasing resistance. - -A flat, static profile fails to account for this evolution. Dynamic profiles adapt to the puck's changing state. - -## 2. A Phased Approach to Profile Building - -Break down every shot into four distinct, controllable phases: - -### Phase 1: Pre-infusion -- **Goal**: Gently and evenly saturate entire puck to prevent channeling -- **Control**: Flow Rate -- **Target Flow**: 2-4 ml/s -- **Target Pressure Limit**: ~2 bar -- **Duration**: Until first drops appear, or specific volume (5-8 ml) delivered -- **Exit (#420, native triggers)**: end on a native weight trigger at ≈ 2 × dose - (water/dose correlation) AND a native pressure trigger (~2 bar, pressure rise), - with a time safety backup — whichever fires first - -### Phase 2: Bloom (Dwell) - Optional -- **Goal**: Allow saturated puck to rest, releasing CO2, enabling deeper penetration -- **Control**: Time (zero flow) -- **Holding Pressure**: 0.5-1.5 bar (prevents puck unseating) -- **Duration**: 5-30 seconds (fresher coffee = longer bloom) - -### Phase 3: Infusion (Ramp & Hold) -- **Goal**: Extract core body, sweetness, and desired acidity -- **Control**: Pressure or Flow Rate -- **Pressure Target**: Ramp to 6-9 bar, hold until desired extraction ratio -- **Flow Target**: 1.5-3 ml/s, let pressure be variable -- **Most critical phase for flavor development** - -### Phase 4: Tapering (Ramp Down) -- **Goal**: Gently finish extraction, minimizing bitterness and astringency -- **Control**: Pressure or Flow Rate -- **Action**: Gradually decrease pressure (e.g., 9 bar to 4 bar) or reduce flow (e.g., 2 ml/s to 1 ml/s) -- **Duration**: Final 1/3 of shot's volume - -## 3. Espresso Profile Blueprints - -### Blueprint 1: The "Classic Lever" -**Best for**: Medium to Medium-Dark Roasts -**Goal**: Balanced, full-bodied shot with rich crema and chocolate/caramel notes - -**Profile Steps**: -1. Pre-infusion: Flow @ 3 ml/s, end when pressure reaches 2.0 bar OR weight reaches 2× dose (time backup) -2. Infusion: Pressure @ 9.0 bar, end when 25g yielded -3. Tapering: Linearly decrease pressure 9.0 bar to 5.0 bar, end when 36g total - -### Blueprint 2: The "Turbo Shot" -**Best for**: Light Roasts, Single Origins -**Goal**: Bright, clear, acidic shot highlighting floral and fruit notes - -**Profile Steps**: -1. Pre-infusion: Flow @ 6 ml/s, end when pressure reaches 1.5 bar OR weight reaches 2× dose (time backup) -2. Infusion: Pressure @ 6.0 bar, end after 15 seconds total -3. Tapering: Linearly decrease pressure 6.0 bar to 3.0 bar, end when 54g total (1:3 ratio) - -### Blueprint 3: The "Soup" Shot (Allongé) -**Best for**: Very Light / Experimental Roasts (high-acidity Geshas) -**Goal**: Tea-like, highly clarified extraction with no bitterness - -**Profile Steps**: -1. Pre-wet: Flow @ 4 ml/s, end when 10g yielded -2. Infusion: Flow @ 8 ml/s, end when 72g total (1:4 ratio) -Note: No pressure target, entirely flow-controlled - -### Blueprint 4: The "Bloom & Extract" -**Best for**: Very Freshly Roasted Coffee (<7 days from roast) -**Goal**: Manage excess CO2 for even extraction and sweetness - -**Profile Steps**: -1. Pre-infusion: Flow @ 3 ml/s, end when pressure reaches 2.0 bar OR weight reaches 2× dose (time backup) -2. Bloom: Hold lever position (zero flow) for 20 seconds -3. Infusion: Pressure @ 8.0 bar, end when 30g yielded -4. Tapering: Linearly decrease pressure 8.0 bar to 4.0 bar, end when 38g total - -## 4. Advanced Troubleshooting & Adaptation - -### Sour, thin, salty (Under-extracted) -**Likely Cause**: Insufficient contact time or energy -**Solutions**: -1. Increase Infusion Pressure/Flow: 8 bar -> 9 bar, or 2 ml/s -> 2.5 ml/s -2. Extend Infusion Time: Increase yield before tapering begins -3. Increase Temperature: 92°C -> 94°C - -### Bitter, astringent, dry (Over-extracted) -**Likely Cause**: Puck channeled or too much extraction at end -**Solutions**: -1. Lower Infusion Pressure: 9 bar -> 8 bar -2. Taper Earlier/Aggressively: Start ramp-down sooner or decrease to lower final pressure -3. Lower Temperature: 94°C -> 92°C - -### Shot starts too fast (gushing) -**Likely Cause**: Grind too coarse, or pre-infusion too aggressive -**Solutions**: -1. Grind Finer (primary fix) -2. Decrease Pre-infusion Flow: 4 ml/s -> 2 ml/s - -### Shot chokes (starts too slow) -**Likely Cause**: Grind too fine -**Solutions**: -1. Grind Coarser -2. Add bloom phase to help water penetrate -3. Increase initial infusion pressure to push through resistance - -## 5. Profile Design Principles & Best Practices - -### Control Strategy: Flow vs Pressure - -**Flow-Controlled Profiles**: -- More adaptive to puck resistance - automatically adjusts to grind variations -- Better for consistent results across different coffees -- Flow rate determines extraction speed directly -- Use when: Working with variable beans, different grinders, or seeking adaptability - -**Pressure-Controlled Profiles**: -- More predictable pressure curves, traditional espresso approach -- Requires precise grind matching for optimal results -- Better for: Specific flavor profile targeting, traditional lever machine emulation -- Use when: You have dialed-in grind and want precise control over texture/body - -**Hybrid Approach**: -- Use pressure control with flow limits (safety bounds) -- Use flow control with pressure limits (prevent channeling) -- Best of both worlds: responsive with safety guards - -### Stage Transition Design - -**Pre-infusion Exit Strategy**: -- Use pressure threshold (<= 2 bar) OR flow threshold (>= 0.2 ml/s) OR weight threshold (>= 0.3g) -- Multiple triggers ensure stage exits when saturation achieved, not on exact timing - -**Pre-infusion Saturation Rules (#420) — express with NATIVE machine triggers**: -The machine only honors native exit trigger types ("weight", "pressure", "flow", -"time"). Implement the following intent using those native types so the machine -actually acts on them — do NOT emit app-only pseudo triggers. -- **Dose/water correlation → native WEIGHT trigger**: A puck needs roughly twice - its dose in water to fully saturate (e.g., an 18 g dose absorbs ~36 ml). Add a - weight exit trigger with value ≈ 2 × dose (comparison ">="), computing it from - the actual dose in the request. This ends pre-infusion once enough water has - been delivered, regardless of grind. -- **Pressure rise → native PRESSURE trigger**: As the puck saturates, resistance - builds and pressure climbs. Add a pressure exit trigger at a low threshold - (~2 bar, ">=") so the stage ends the moment pressure starts to rise. -- Always pair both with a TIME safety backup; whichever native trigger fires - first ends pre-infusion. - -**Infusion/Hold Exit Strategy**: -- Always use weight threshold with >= comparison for target yield -- Always include time-based safety timeout (prevents infinite extraction) -- Weight should be primary trigger, time is backup - -**Tapering Exit Strategy**: -- Use final target weight with >= comparison -- Include time limit to prevent over-extraction - -### Dynamics Point Design - -**Minimum Points Required**: -- Start point: [0, initial_value] -- End point: [duration, final_value] - -**Interpolation Strategy**: -- "linear": Predictable, easy to understand, good for most cases -- "curve": Smoother transitions, can feel more natural, good for lever-style profiles -- "none": Instant transitions (rarely needed) - -**Pressure Ramp Design**: -- Gentle ramps (3-4 seconds) prevent channeling -- Aggressive ramps (<2 seconds) can cause channeling but faster extraction - -**Pressure Decline Design**: -- Gradual decline (over 10-15 seconds) = smoother finish -- Steep decline (over 3-5 seconds) = faster finish, may extract more fines - -### Exit Trigger Best Practices - -**Always Use Comparison Operators**: -- Use >= for weight thresholds (responsive, exits when reached) -- Use >= for flow thresholds (responsive, exits when achieved) -- Use <= for pressure thresholds when pressure should drop -- Never rely on exact matches - they're unreliable and slow - -**Multiple Triggers = Safety & Responsiveness**: -- Primary trigger: The main goal (weight, flow, etc.) -- Secondary trigger: Safety timeout (time-based) -- Logical OR ensures the stage exits on the FIRST condition met - -**Relative vs Absolute Values**: -- Time exit triggers: ALWAYS use "relative": true (time relative to stage start). Never use absolute time. -- Relative weight: Value relative to stage start (useful for multi-stage recipes) -- Absolute weight: Total weight from shot start (easier to understand) -- Use absolute weight for clarity, relative weight only when needed for complex recipes -- dynamics_points x-axis values are always relative to stage start (0 = beginning of stage) - -### Temperature Considerations - -**Roast Level Matching**: -- Light roasts: Higher temp (92-96°C) needed for proper extraction -- Medium roasts: Balanced temp (90-93°C) -- Dark roasts: Lower temp (82-90°C) prevents over-extraction bitterness - -### Yield Target Design - -**Espresso Range** (25-40g): -- Classic espresso: 30-36g yield -- Ristretto: 20-25g yield -- Lungo: 40-50g yield - -**Extended Range** (40-100g): -- Sprover: 40-60g (hybrid espresso/pour-over) -- Soup/Allongé: 60-100g+ (tea-like extraction) - -**Yield Distribution Across Stages**: -- Pre-infusion: 5-10% of total yield -- Infusion: 60-75% of total yield -- Tapering: Remaining 20-30% - -### Common Anti-Patterns to Avoid - -**❌ Single Exit Trigger**: Only weight OR only time = risky. Include multiple triggers for safety. -**❌ Exact Match Triggers**: Waiting for exact weight (e.g., 30.0g) = unreliable. Use >= comparison. -**❌ Too Many Stages**: More than 5-6 stages = overcomplicated. 3-4 stages is usually optimal. -**❌ No Safety Timeouts**: Missing time-based triggers = risk of infinite extraction. -**❌ Pressure Spikes**: Sudden pressure jumps = channeling risk. Use gentle ramps (3+ seconds). -**❌ Recommending Weight Exit Triggers**: All Meticulous profiles automatically have a weight-based exit trigger at the overall profile level. NEVER recommend adding a weight exit trigger for the overall profile or for the final stage — it is always already present and handled by the machine firmware. Only recommend weight triggers for intermediate stages when needed. - -## 6. Equipment Factors - -- **Grind setting**: Primary extraction control. Fine = slower, more extraction -- **Basket type**: VST/IMS precision baskets vs stock baskets affect flow distribution -- **Bottom filter**: Paper filters reduce sediment but also oils (cleaner but thinner) -- **Puck prep**: WDT, leveling, and tamp consistency affect channeling risk -- **Grinder characteristics**: Particle distribution varies by grinder model, may need profile adjustments -""" - - -# Distilled version of the profiling knowledge for token-optimized prompts. -# Focuses on decision heuristics and practical rules rather than theory. -# ~2.5K chars vs ~10.8K chars for the full version. -PROFILING_KNOWLEDGE_DISTILLED = """\ -# Espresso Profiling Quick Reference - -## Roast → Profile Matching -- Light roast: higher temp (92-96°C), lower pressure (6-7 bar), higher ratio (1:2.5-1:3+), flow-controlled, turbo-style -- Medium roast: balanced temp (90-93°C), classic 9 bar pressure, standard ratio (1:2-1:2.5) -- Dark roast: lower temp (82-90°C), gentler pressure (7-8 bar), shorter ratio (1:1.5-1:2), avoid over-extraction -- Very fresh (<7 days): add bloom/dwell phase (5-30s at zero flow) to release CO2 - -## Four-Phase Structure -1. **Pre-infusion**: Flow 2-4 ml/s, pressure limit ~2 bar, exit on pressure threshold or weight ~5-8g - Saturation rules (#420), as NATIVE triggers: native weight exit at ≈ 2 × dose (water/dose correlation) AND native pressure exit (~2 bar, pressure rise), plus a time backup -2. **Bloom** (optional): Zero flow, hold 0.5-1.5 bar, 5-30s. Use for fresh coffee or light roasts -3. **Infusion**: Ramp to target pressure/flow. This is where 60-75% of yield extracts -4. **Taper**: Decline pressure/flow over final 20-30% of yield. Reduces bitterness and astringency - -## Profile Blueprints (compressed) -- **Classic Lever** (medium-dark): Pre-infuse→9 bar hold→taper 9→5 bar. Ratio 1:2 -- **Turbo** (light/single origin): Pre-infuse→6 bar→taper 6→3 bar. Ratio 1:3. Fast, bright, clear -- **Allongé/Soup** (very light): Pre-wet→high flow (8 ml/s). Ratio 1:4. Tea-like, no pressure target -- **Bloom & Extract** (very fresh): Pre-infuse→20s bloom→8 bar→taper 8→4 bar - -## Troubleshooting -- Sour/thin → increase pressure, extend extraction, raise temp -- Bitter/astringent → lower pressure, taper earlier, lower temp -- Gushing → grind finer, reduce pre-infusion flow -- Choking → grind coarser, add bloom phase, increase initial pressure - -## Control Strategy -- **Flow-controlled**: Adapts to puck resistance, forgiving of grind variance. Better for consistency -- **Pressure-controlled**: Traditional approach, needs precise grind. Better for body/texture targeting -- **Hybrid** (recommended): Pressure control with flow limits, or flow control with pressure limits - -## Key Design Rules -- Dynamics points x-axis is ALWAYS relative to stage start (0 = stage start) -- Gentle pressure ramps (3-4s) prevent channeling; aggressive (<2s) risk it -- Keep profiles to 3-4 stages (5-6 max). Simpler = more reliable -- Pre-infusion: ~5-10% of yield. Infusion: 60-75%. Taper: remaining 20-30% -- NEVER recommend adding a weight exit trigger for the overall profile or the final stage — all Meticulous profiles already have an automatic weight-based exit trigger handled by firmware -""" - - -def parse_gemini_error(error_text: str) -> str: - """Parse Gemini SDK/API error output and return a user-friendly message. - - Extracts the meaningful error message from verbose error details - for display to end users. - - Args: - error_text: Raw stderr output from the Gemini CLI - - Returns: - A clean, user-friendly error message - """ - error_text_lower = error_text.lower() - - # Check for deprecated / unavailable model errors (404 NOT_FOUND) - if ( - "no longer available" in error_text_lower - or ("not_found" in error_text_lower and "model" in error_text_lower) - or ("404" in error_text_lower and "model" in error_text_lower) - or "deprecated" in error_text_lower - ): - return ( - "The AI model is no longer available. Please update MeticAI to the " - "latest version, or set a custom GEMINI_MODEL in your environment." - ) - - # Check for quota errors - if "quota" in error_text_lower or "exhausted" in error_text_lower: - return ( - "Daily API quota exhausted. The free Gemini API has usage limits. " - "Please wait until tomorrow for your quota to reset, or upgrade to " - "a paid API plan at https://aistudio.google.com/" - ) - - # Check for rate limiting - if "rate limit" in error_text_lower or "too many requests" in error_text_lower: - return ( - "Rate limit exceeded. Too many requests in a short time. " - "Please wait a minute and try again." - ) - - # Check for authentication errors - if ( - "api key" in error_text_lower - or "api_key" in error_text_lower - or "authentication" in error_text_lower - or "unauthorized" in error_text_lower - or "auth method" in error_text_lower - or "set an auth" in error_text_lower - ): - return ( - "Gemini API key is not configured. Please go to Settings and " - "enter a valid GEMINI_API_KEY, then try again." - ) - - # Check for long-running generation / model stall patterns - # (must come before the general network/connection check which also - # matches 'timeout' — we want the more specific message here.) - if ( - "timed out after" in error_text_lower - or "deadline exceeded" in error_text_lower - or "took too long" in error_text_lower - ): - return ( - "Profile generation timed out. Please retry; if this repeats, " - "reduce prompt complexity or use a stronger Gemini model." - ) - - # Check for network/connection errors - if ( - "network" in error_text_lower - or "connection" in error_text_lower - or "timeout" in error_text_lower - ): - return ( - "Network error connecting to Gemini API. Please check your " - "internet connection and try again." - ) - - # Check for schema/validation failures produced during profile creation - if ( - "validation" in error_text_lower - or "schema" in error_text_lower - or "invalid profile" in error_text_lower - or "failed to validate" in error_text_lower - ): - return ( - "The AI generated a profile that failed schema validation. " - "Please retry; if this keeps happening, simplify preferences " - "or try a stronger model." - ) - - # Check for MCP/Meticulous connection errors - if "mcp" in error_text_lower or "meticulous" in error_text_lower: - if ( - "connection refused" in error_text_lower - or "cannot connect" in error_text_lower - ): - return ( - "Cannot connect to the Meticulous machine. Please ensure your " - "espresso machine is powered on and connected to the network." - ) - - # Check for content safety errors - if "safety" in error_text_lower or "blocked" in error_text_lower: - return ( - "Request was blocked by content safety filters. " - "Please try rephrasing your preferences." - ) - - # Try to extract a clean error message from stack trace - # Look for common error patterns - patterns = [ - r"Error:\s*(.+?)(?:\n|$)", - r"error:\s*(.+?)(?:\n|$)", - r"Exception:\s*(.+?)(?:\n|$)", - ] - - for pattern in patterns: - match = re.search(pattern, error_text, re.IGNORECASE) - if match: - extracted = match.group(1).strip() - # Don't return if it's just a file path or technical detail - if ( - len(extracted) > 10 - and not extracted.startswith("/") - and not extracted.startswith("file:") - ): - return extracted[:200] # Limit length - - # Fallback: strip noise lines before returning - clean_error = error_text - for prefix in _GEMINI_NOISE_PREFIXES: - clean_error = "\n".join( - line - for line in clean_error.split("\n") - if not line.strip().startswith(prefix) - ) - clean_error = clean_error.strip() - - if not clean_error: - return "Profile generation failed unexpectedly. Please try again." - if len(clean_error) > 150: - return f"Profile generation failed. Technical details: {clean_error[:100]}..." - - return f"Profile generation failed: {clean_error}" - - -def reset_vision_model(): - """Reset the cached Gemini client. - - Call this when the GEMINI_API_KEY changes so the next call to - get_gemini_client() will re-create with the new key. - """ - global _gemini_client - _gemini_client = None - - -def get_gemini_client() -> genai.Client: - """Lazily initialize and return the Gemini client.""" - global _gemini_client - if _gemini_client is None: - api_key = os.environ.get("GEMINI_API_KEY") - if not api_key: - raise ValueError( - "GEMINI_API_KEY environment variable is required but not set. " - "Please set it before starting the server." - ) - _gemini_client = genai.Client(api_key=api_key) - return _gemini_client - - -def is_ai_available() -> bool: - """Return True when an API key is configured for the active provider.""" - from services.ai_providers import is_provider_available - - return is_provider_available() - - -def get_vision_model(): - """Return a wrapper that provides the old model.generate_content() interface. - - Routes to the OpenAI-compatible provider when a non-Gemini provider is - active, otherwise returns the Gemini SDK wrapper. Both expose the same - ``generate_content`` / ``async_generate_content`` interface: - model = get_vision_model() - response = model.generate_content([prompt, image]) - text = response.text - """ - from services.ai_providers import OpenAICompatModel, is_gemini_active - - if not is_gemini_active(): - return OpenAICompatModel() - return _GeminiModelWrapper(get_gemini_client()) - - -class _GeminiModelWrapper: - """Thin wrapper around google.genai.Client to provide the old GenerativeModel interface.""" - - def __init__(self, client: genai.Client): - self._client = client - - def generate_content(self, contents): - """Call generate_content on the Gemini API (synchronous). - - On a model-not-found error, re-resolves the working model once via - ``get_working_model_force()`` and retries exactly once. - - Args: - contents: A string, list of strings, PIL images, or mixed list - (same format accepted by both old and new SDK). - - Returns: - GenerateContentResponse with .text attribute. - """ - try: - return self._client.models.generate_content( - model=get_working_model_sync(), - contents=contents, - ) - except Exception as e: - text = str(e).lower() - is_model_gone = ("not_found" in text and "model" in text) or ( - "404" in text and "model" in text - ) - if not is_model_gone: - raise - logger.warning("Model not found during generation; re-resolving…") - new_model = get_working_model_force() - return self._client.models.generate_content( - model=new_model, - contents=contents, - ) - - async def async_generate_content(self, contents): - """Non-blocking wrapper around generate_content. - - Runs the synchronous Gemini SDK call in a thread pool executor - so it doesn't block the asyncio event loop. - """ - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, self.generate_content, contents) - - -def get_author_instruction() -> str: - """Get the author instruction for profile creation prompts.""" - author = get_author_name() - return ( - f"AUTHOR:\n" - f"• Set the 'author' field in the profile JSON to: \"{author}\"\n" - f"• This name will appear as the profile creator on the Meticulous device\n\n" - ) - - -def build_advanced_customization_section(advanced_customization: Optional[str]) -> str: - """Build the advanced customization section for the prompt. - - These are MANDATORY equipment and extraction parameters that MUST be followed. - """ - if not advanced_customization: - return "" - - return ( - f"⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):\n" - f"{advanced_customization}\n\n" - f"CRITICAL: You MUST configure the profile to use these EXACT values. " - f"These are non-negotiable hardware/extraction constraints:\n" - f"• If a temperature is specified, set the profile temperature to that EXACT value\n" - f"• If a dose is specified, the profile MUST be designed for that EXACT dose\n" - f"• If max pressure/flow is specified, NO stage should exceed those limits\n" - f"• If basket size/type is specified, account for it in your dose and extraction design\n" - f"• If bottom filter is specified, mention it in preparation notes\n\n" - ) - - -# ============================================================================= -# Taste Compass — cache key helpers -# ============================================================================= - - -def compute_taste_hash( - taste_x: float | None, - taste_y: float | None, - taste_descriptors: list[str] | None, -) -> str | None: - """Return a short hash for taste data, or None when no taste input is present. - - Used to differentiate cached analyses: same shot *without* taste data keeps - its original cache entry, while taste-aware analyses get a separate one. - """ - has_coords = taste_x is not None and taste_y is not None - has_desc = bool(taste_descriptors) - if not has_coords and not has_desc: - return None - - parts: list[str] = [] - if has_coords: - parts.append(f"{taste_x:.4f},{taste_y:.4f}") - if has_desc: - parts.append(",".join(sorted(taste_descriptors))) - - raw = "|".join(parts) - return hashlib.sha256(raw.encode()).hexdigest()[:12] diff --git a/apps/server/services/generation_progress.py b/apps/server/services/generation_progress.py deleted file mode 100644 index 0b96094a..00000000 --- a/apps/server/services/generation_progress.py +++ /dev/null @@ -1,135 +0,0 @@ -"""Generation progress tracking for real-time status updates. - -Provides an async event emitter that the profile generation flow can use -to push phase updates to connected SSE clients. -""" - -import asyncio -import time -from dataclasses import dataclass, field -from enum import Enum -from typing import Any, AsyncIterator, Dict, Optional - - -class GenerationPhase(str, Enum): - """Phases of profile generation.""" - - QUEUED = "queued" - ANALYZING = "analyzing" - GENERATING = "generating" - VALIDATING = "validating" - RETRYING = "retrying" - UPLOADING = "uploading" - COMPLETE = "complete" - FAILED = "failed" - KEEPALIVE = "keepalive" - - -@dataclass -class ProgressEvent: - """A single progress event.""" - - phase: GenerationPhase - message: str - attempt: int = 0 # retry attempt number (0 = first try) - max_attempts: int = 3 # total attempts allowed - elapsed: float = 0.0 # seconds since generation started - result: Optional[Dict[str, Any]] = None - error: Optional[str] = None - - -@dataclass -class GenerationState: - """Tracks the state of an in-progress generation.""" - - generation_id: str - created_at: float = field(default_factory=time.monotonic) - events: list = field(default_factory=list) - _waiters: list = field(default_factory=list, repr=False) - _completed: bool = False - - def emit(self, event: ProgressEvent): - """Push a new progress event and notify all waiters.""" - event.elapsed = round(time.monotonic() - self.created_at, 1) - self.events.append(event) - - if event.phase in (GenerationPhase.COMPLETE, GenerationPhase.FAILED): - self._completed = True - - # Wake up all waiting SSE consumers - for waiter in self._waiters: - if not waiter.done(): - waiter.set_result(event) - self._waiters.clear() - - async def stream(self) -> AsyncIterator[ProgressEvent]: - """Async generator that yields events as they arrive. - - First replays any events that have already been emitted, then - blocks until new events arrive. - """ - # Replay existing events - for event in list(self.events): - yield event - - # Stream new events as they arrive - while not self._completed: - waiter: asyncio.Future = asyncio.get_running_loop().create_future() - self._waiters.append(waiter) - try: - event = await asyncio.wait_for(waiter, timeout=60) - yield event - except asyncio.TimeoutError: - # Yield keepalive so the SSE connection stays open for - # long-running generations (retries, slow models, etc.) - yield ProgressEvent( - phase=GenerationPhase.KEEPALIVE, message="keepalive" - ) - continue - finally: - # Remove the waiter so emit() doesn't set results on orphans - try: - self._waiters.remove(waiter) - except ValueError: - pass # already removed by emit() - - def to_dict(self) -> Dict[str, Any]: - """Serialize current state for SSE.""" - latest = self.events[-1] if self.events else None - return { - "generation_id": self.generation_id, - "phase": latest.phase.value if latest else "queued", - "message": latest.message if latest else "Waiting...", - "attempt": latest.attempt if latest else 0, - "max_attempts": latest.max_attempts if latest else 3, - "elapsed": latest.elapsed if latest else 0, - "events_count": len(self.events), - } - - -# In-memory store of active generations (only one at a time due to lock) -_active_generations: Dict[str, GenerationState] = {} - - -def create_generation(generation_id: str) -> GenerationState: - """Create and register a new generation state.""" - state = GenerationState(generation_id=generation_id) - _active_generations[generation_id] = state - return state - - -def get_generation(generation_id: str) -> Optional[GenerationState]: - """Get an active generation state by ID.""" - return _active_generations.get(generation_id) - - -def remove_generation(generation_id: str) -> None: - """Remove a completed generation from the store.""" - _active_generations.pop(generation_id, None) - - -def get_latest_generation() -> Optional[GenerationState]: - """Get the most recently created generation state.""" - if not _active_generations: - return None - return list(_active_generations.values())[-1] diff --git a/apps/server/services/history_service.py b/apps/server/services/history_service.py deleted file mode 100644 index 7a728932..00000000 --- a/apps/server/services/history_service.py +++ /dev/null @@ -1,314 +0,0 @@ -"""History service for managing profile creation history.""" - -import hashlib -import json -import re -import threading -import uuid -from datetime import datetime, timezone -from typing import Optional - -from logging_config import get_logger -from config import DATA_DIR -from utils.file_utils import atomic_write_json -from utils.sanitization import clean_profile_name - -logger = get_logger() - -HISTORY_FILE = DATA_DIR / "profile_history.json" - -# Reentrant lock shared across all history mutations (load-modify-save cycles). -# Importers (e.g. profiles.py, coffee.py) may acquire this lock externally -# while also calling helpers that acquire it internally — RLock allows that. -_history_lock = threading.RLock() - -# In-memory cache (loaded from disk on first access, write-through on save) -_history_cache: Optional[list] = None - - -def ensure_history_file(): - """Ensure the history file and directory exist.""" - HISTORY_FILE.parent.mkdir(parents=True, exist_ok=True) - if not HISTORY_FILE.exists(): - HISTORY_FILE.write_text("[]") - - -def load_history() -> list: - """Load history, using in-memory copy when available. - - Filters out malformed entries that lack required fields (e.g. test data - or pre-v2 entries that were never migrated properly). - """ - global _history_cache - if _history_cache is not None: - return _history_cache - ensure_history_file() - try: - with open(HISTORY_FILE, "r", encoding="utf-8") as f: - raw = json.load(f) - except (json.JSONDecodeError, FileNotFoundError): - raw = [] - - # Guard against the top-level value being a non-list (e.g. {} or null) - if not isinstance(raw, list): - logger.warning( - "History file contained %s instead of list — resetting", - type(raw).__name__, - ) - raw = [] - - # Filter out entries missing critical fields. A valid v2 entry always - # has at least 'id' and 'profile_name' (or 'reply' from which the name - # can be derived). Entries like {"id": "test123", "name": "TestProfile"} - # are test artefacts and must be dropped. - valid = [] - for entry in raw: - if not isinstance(entry, dict): - continue - if not entry.get("id"): - continue - # Must have at least profile_name or reply - if not entry.get("profile_name") and not entry.get("reply"): - logger.warning( - "Dropping malformed history entry (no profile_name or reply): id=%s", - entry.get("id"), - ) - continue - valid.append(entry) - - if len(valid) != len(raw): - logger.info( - "Filtered %d malformed entries from history (kept %d)", - len(raw) - len(valid), - len(valid), - ) - # Persist the cleaned list so bad entries don't come back - _history_cache = valid - save_history(valid) - else: - _history_cache = valid - - return _history_cache - - -def save_history(history: list): - """Write-through: update in-memory cache and persist to disk.""" - global _history_cache - _history_cache = history - ensure_history_file() - atomic_write_json(HISTORY_FILE, history) - - -def _extract_profile_json(reply: str) -> Optional[dict]: - """Extract the profile JSON from the LLM reply. - - Searches for JSON blocks in the reply, trying different patterns. - """ - # Try to find JSON in a code block first - json_block_pattern = r"```json\s*([\s\S]*?)```" - matches = re.findall(json_block_pattern, reply, re.IGNORECASE) - - for match in matches: - try: - parsed = json.loads(match.strip()) - # Check if it looks like a profile (has name, stages, etc.) - if isinstance(parsed, dict) and ("name" in parsed or "stages" in parsed): - return parsed - except json.JSONDecodeError: - continue - - # Try to find a generic code block - code_block_pattern = r"```\s*([\s\S]*?)```" - matches = re.findall(code_block_pattern, reply) - - for match in matches: - try: - parsed = json.loads(match.strip()) - if isinstance(parsed, dict) and ("name" in parsed or "stages" in parsed): - return parsed - except json.JSONDecodeError: - continue - - return None - - -def _extract_profile_name(reply: str) -> str: - """Extract the profile name from the LLM reply.""" - # Handle both **Profile Created:** and Profile Created: formats, with 0 or 2 asterisks - match = re.search( - r"(?:\*\*)?Profile Created:(?:\*\*)?\s*(.+?)(?:\n|$)", reply, re.IGNORECASE - ) - if match: - return clean_profile_name(match.group(1)) - return "Untitled Profile" - - -def save_to_history( - coffee_analysis: Optional[str], - user_prefs: Optional[str], - reply: str, - image_preview: Optional[str] = None, - profile_json_override: Optional[dict] = None, -) -> dict: - """Save a generated profile to history. - - Args: - coffee_analysis: The coffee bag analysis text - user_prefs: User preferences provided - reply: The full LLM reply - image_preview: Optional base64 image preview (thumbnail) - profile_json_override: When provided, store this as the canonical - ``profile_json`` instead of parsing from the LLM reply. This - should be the normalised JSON that was actually sent to the - machine so exports always match. - - Returns: - The saved history entry - """ - history = load_history() - - # Generate a unique ID - entry_id = str(uuid.uuid4()) - - # Use override when available; fall back to LLM-text extraction - if profile_json_override is not None: - profile_json = profile_json_override - profile_name = profile_json_override.get("name") or _extract_profile_name(reply) - else: - profile_json = _extract_profile_json(reply) - profile_name = _extract_profile_name(reply) - - # Create history entry - entry = { - "id": entry_id, - "created_at": datetime.now(timezone.utc).isoformat(), - "profile_name": profile_name, - "coffee_analysis": coffee_analysis, - "user_preferences": user_prefs, - "reply": reply, - "profile_json": profile_json, - "image_preview": image_preview, # Optional thumbnail - } - - # Store initial content hash for sync change detection. - # This is a best-effort hash from the local profile JSON — it will be - # replaced by the machine-consistent hash after upload succeeds. - if profile_json and isinstance(profile_json, dict): - entry["content_hash"] = compute_content_hash(profile_json) - - # Add to beginning of list (most recent first) - history.insert(0, entry) - - # Keep only last 100 entries to prevent file from growing too large - history = history[:100] - - save_history(history) - - logger.info( - f"Saved profile to history: {profile_name}", - extra={"entry_id": entry_id, "has_json": profile_json is not None}, - ) - - return entry - - -def update_entry_notes(entry_id: str, notes: str) -> Optional[dict]: - """Update the notes field for a history entry. - - Args: - entry_id: The ID of the entry to update. - notes: The new notes content (Markdown). Empty string clears notes. - - Returns: - The updated entry, or None if not found. - """ - history = load_history() - - for entry in history: - if entry.get("id") == entry_id: - if notes and notes.strip(): - entry["notes"] = notes.strip() - entry["notes_updated_at"] = datetime.now(timezone.utc).isoformat() - else: - # Clear notes if empty - entry.pop("notes", None) - entry.pop("notes_updated_at", None) - - save_history(history) - - logger.info( - f"Updated notes for history entry: {entry.get('profile_name', entry_id)}", - extra={"entry_id": entry_id, "has_notes": bool(notes)}, - ) - return entry - - logger.warning(f"History entry not found for notes update: {entry_id}") - return None - - -def get_entry_by_id(entry_id: str) -> Optional[dict]: - """Get a history entry by its ID. - - Args: - entry_id: The ID of the entry to find. - - Returns: - The entry dict, or None if not found. - """ - history = load_history() - for entry in history: - if entry.get("id") == entry_id: - return entry - return None - - -def compute_content_hash(profile_dict: dict) -> str: - """Compute a SHA-256 hash of a profile's JSON content for change detection. - - Produces a stable hash by sorting keys before serialisation so that - semantically identical profiles always yield the same digest. - """ - canonical = json.dumps(profile_dict, sort_keys=True, separators=(",", ":")) - return hashlib.sha256(canonical.encode("utf-8")).hexdigest() - - -def update_entry_sync_fields( - entry_id: str, - *, - content_hash: Optional[str] = None, - machine_updated_at: Optional[str] = None, - profile_json: Optional[dict] = None, - reply: Optional[str] = None, -) -> Optional[dict]: - """Update sync-related fields on a history entry. - - Any keyword argument that is not ``None`` will be written to the entry. - Thread-safe: acquires ``_history_lock`` internally. - - Returns: - The updated entry, or ``None`` if not found. - """ - with _history_lock: - history = load_history() - - for entry in history: - if entry.get("id") == entry_id: - if content_hash is not None: - entry["content_hash"] = content_hash - if machine_updated_at is not None: - entry["machine_updated_at"] = machine_updated_at - if profile_json is not None: - entry["profile_json"] = profile_json - if reply is not None: - entry["reply"] = reply - - save_history(history) - - logger.info( - f"Updated sync fields for history entry: {entry.get('profile_name', entry_id)}", - extra={"entry_id": entry_id, "has_hash": content_hash is not None}, - ) - return entry - - logger.warning(f"History entry not found for sync update: {entry_id}") - return None diff --git a/apps/server/services/machine_discovery_service.py b/apps/server/services/machine_discovery_service.py deleted file mode 100644 index 739f7a43..00000000 --- a/apps/server/services/machine_discovery_service.py +++ /dev/null @@ -1,212 +0,0 @@ -"""Machine discovery service for auto-detecting Meticulous espresso machines. - -Implements a multi-tier discovery strategy: -1. mDNS/Zeroconf browse for _meticulous._tcp.local. -2. Hostname resolution for meticulous.local -3. METICULOUS_IP environment variable (verified) -4. If no machine is found, return guidance for manual configuration. - -Discovery typically completes within several seconds under normal conditions. -""" - -import asyncio -import os -import socket -from dataclasses import dataclass -from typing import Optional - -from logging_config import get_logger - -logger = get_logger() - -# Overall discovery timeout -DISCOVERY_TIMEOUT_SECONDS = 10 - -# mDNS service type advertised by Meticulous machines -MDNS_SERVICE_TYPE = "_meticulous._tcp.local." - - -@dataclass -class DiscoveryResult: - """Result of machine discovery.""" - - found: bool - ip: Optional[str] = None - hostname: Optional[str] = None - method: Optional[str] = None - guidance: Optional[str] = None - guidance_key: Optional[str] = None - guidance_hints: Optional[list[str]] = None - - -async def discover_machine() -> DiscoveryResult: - """ - Attempt to discover a Meticulous machine on the local network. - - Tries multiple discovery methods in order: - 1. mDNS/Zeroconf service discovery - 2. Direct hostname resolution (meticulous.local) - 3. Guidance for manual configuration - - Returns: - DiscoveryResult with found=True if machine discovered, or - found=False with guidance on how to configure manually. - """ - # Try mDNS service discovery first - result = await _try_mdns_discovery() - if result.found: - return result - - # Fallback to direct hostname resolution - result = await _try_hostname_resolution() - if result.found: - return result - - # Fallback to configured METICULOUS_IP env var - result = await _try_env_ip() - if result.found: - return result - - # No machine found - provide guidance - logger.info("Machine discovery: no machine found via mDNS or hostname") - return DiscoveryResult( - found=False, - guidance_key="notFound", - guidance_hints=["machinePoweredOn", "sameNetwork", "manualIp"], - guidance=( - "Could not automatically detect your Meticulous machine. " - "Please ensure:\n" - "• Your machine is powered on and connected to WiFi\n" - "• Your device is on the same network as the machine\n" - "• Try entering the IP address manually (check your router's DHCP leases)" - ), - ) - - -async def _try_mdns_discovery() -> DiscoveryResult: - """ - Attempt mDNS/Zeroconf service discovery. - - Browses for _meticulous._tcp.local. services. - """ - try: - from zeroconf import Zeroconf, ServiceBrowser - from zeroconf.asyncio import AsyncZeroconf - - discovered: list[tuple[str, str]] = [] # (ip, hostname) pairs - - class Listener: - def add_service(self, zc: Zeroconf, service_type: str, name: str) -> None: - info = zc.get_service_info(service_type, name) - if info and info.addresses: - ip = socket.inet_ntoa(info.addresses[0]) - hostname = info.server.rstrip(".") - discovered.append((ip, hostname)) - logger.info(f"mDNS discovery found: {hostname} at {ip}") - - def remove_service( - self, zc: Zeroconf, service_type: str, name: str - ) -> None: - pass - - def update_service( - self, zc: Zeroconf, service_type: str, name: str - ) -> None: - pass - - azc = AsyncZeroconf() - try: - listener = Listener() - browser = ServiceBrowser(azc.zeroconf, MDNS_SERVICE_TYPE, listener) - - # Wait for discovery with timeout - await asyncio.sleep(min(3, DISCOVERY_TIMEOUT_SECONDS)) - browser.cancel() - - if discovered: - ip, hostname = discovered[0] - return DiscoveryResult( - found=True, ip=ip, hostname=hostname, method="mdns" - ) - finally: - await azc.async_close() - - except ImportError: - logger.warning("zeroconf package not available for mDNS discovery") - except Exception as e: - logger.warning(f"mDNS discovery failed: {e}") - - return DiscoveryResult(found=False) - - -async def _try_hostname_resolution() -> DiscoveryResult: - """ - Attempt to resolve meticulous.local hostname. - - This works when mDNS responder is available on the system. - """ - try: - loop = asyncio.get_running_loop() - - # Try to resolve meticulous.local - hostname = "meticulous.local" - try: - # Run blocking getaddrinfo in executor - result = await asyncio.wait_for( - loop.run_in_executor( - None, lambda: socket.getaddrinfo(hostname, 80, socket.AF_INET) - ), - timeout=5.0, - ) - if result: - ip = result[0][4][0] # Extract IP from first result - logger.info(f"Hostname resolution found: {hostname} at {ip}") - return DiscoveryResult( - found=True, ip=ip, hostname=hostname, method="hostname" - ) - except socket.gaierror: - logger.debug(f"Could not resolve {hostname}") - except asyncio.TimeoutError: - logger.debug(f"Hostname resolution timed out for {hostname}") - - except Exception as e: - logger.warning(f"Hostname resolution failed: {e}") - - return DiscoveryResult(found=False) - - -async def _try_env_ip() -> DiscoveryResult: - """ - Check the METICULOUS_IP environment variable and verify the machine is reachable. - """ - ip = os.environ.get("METICULOUS_IP", "").strip() - if not ip: - return DiscoveryResult(found=False) - - logger.info(f"Trying configured METICULOUS_IP: {ip}") - if await verify_machine(ip): - logger.info(f"Verified machine at configured IP: {ip}") - return DiscoveryResult(found=True, ip=ip, hostname=None, method="env") - - logger.debug(f"Machine at configured METICULOUS_IP {ip} did not respond") - return DiscoveryResult(found=False) - - -async def verify_machine(ip: str) -> bool: - """ - Verify that a machine at the given IP is actually responding. - - Makes a quick HTTP request to the machine's API. - """ - import httpx - - try: - async with httpx.AsyncClient(timeout=5.0) as client: - # Try to hit the machine's status endpoint - response = await client.get(f"http://{ip}:8080/api/getLastShotProfileJSON") - return response.status_code in ( - 200, - 404, - ) # 404 is OK - means API is responding - except Exception: - return False diff --git a/apps/server/services/meticulous_service.py b/apps/server/services/meticulous_service.py deleted file mode 100644 index 3d5d8a5a..00000000 --- a/apps/server/services/meticulous_service.py +++ /dev/null @@ -1,666 +0,0 @@ -"""Meticulous service for espresso machine API and shot data management.""" - -import json -import re -import time -import uuid -import zstandard -import httpx -import asyncio -import os -import functools -import requests.exceptions -from typing import Any, Dict, Optional -from fastapi import HTTPException -from logging_config import get_logger -from services.settings_service import load_settings - -logger = get_logger() - - -class MachineUnreachableError(HTTPException): - """Raised when the Meticulous espresso machine cannot be reached. - - Extends HTTPException so that routes with ``except HTTPException: raise`` - guards automatically propagate it as a 503 instead of wrapping it in a - generic 500. - """ - - def __init__(self, original: Exception | None = None): - detail = ( - "Espresso machine is unreachable. " - "Check that the machine is powered on and METICULOUS_IP is correct in Settings." - ) - super().__init__(status_code=503, detail=detail) - self.__cause__ = original - - -# Connection-error types that indicate the machine is down -_MACHINE_CONNECTION_ERRORS = ( - requests.exceptions.ConnectionError, - httpx.ConnectError, - httpx.ConnectTimeout, -) - - -def _wrap_machine_call(fn): - """Decorator that converts connection errors into MachineUnreachableError.""" - - @functools.wraps(fn) - async def wrapper(*args, **kwargs): - try: - return await fn(*args, **kwargs) - except _MACHINE_CONNECTION_ERRORS as exc: - logger.warning("Machine unreachable in %s: %s", fn.__name__, exc) - raise MachineUnreachableError(exc) from exc - - return wrapper - - -# Lazy-loaded Meticulous API client -_meticulous_api = None - -# Singleton httpx.AsyncClient — reused across all shot data fetches -_http_client: Optional[httpx.AsyncClient] = None - -# Short-lived profile list cache (avoids repeated blocking calls to the machine) -_PROFILE_CACHE_TTL = 10 # seconds -_profile_list_cache: Optional[list] = None -_profile_list_cache_time: float = 0.0 -_full_profile_cache: Optional[list] = None -_full_profile_cache_time: float = 0.0 - - -def _resolve_meticulous_base_url() -> str: - """Resolve the machine base URL from environment/settings with safe defaults.""" - meticulous_ip = os.environ.get("METICULOUS_IP", "").strip() - - if not meticulous_ip: - try: - settings = load_settings() - meticulous_ip = (settings.get("meticulousIp") or "").strip() - except Exception: - meticulous_ip = "" - - if not meticulous_ip: - meticulous_ip = "meticulous.local" - - if not meticulous_ip.startswith("http"): - meticulous_ip = f"http://{meticulous_ip}" - - return meticulous_ip.rstrip("/") - - -def _get_http_client() -> httpx.AsyncClient: - """Return the singleton httpx.AsyncClient, creating it if needed.""" - global _http_client - if _http_client is None or _http_client.is_closed: - _http_client = httpx.AsyncClient(timeout=30.0) - return _http_client - - -async def close_http_client(): - """Close the singleton httpx.AsyncClient (call during app shutdown).""" - global _http_client - if _http_client is not None and not _http_client.is_closed: - await _http_client.aclose() - _http_client = None - - -def get_meticulous_api(): - """Lazily initialize and return the Meticulous API client.""" - global _meticulous_api - desired_base_url = _resolve_meticulous_base_url() - - if _meticulous_api is None: - from meticulous.api import Api - - _meticulous_api = Api(base_url=desired_base_url) - return _meticulous_api - - current_base_url = str(getattr(_meticulous_api, "base_url", "")).rstrip("/") - if current_base_url != desired_base_url: - from meticulous.api import Api - - logger.info( - "Meticulous API target changed, reinitializing client", - extra={ - "from_base_url": current_base_url, - "to_base_url": desired_base_url, - }, - ) - _meticulous_api = Api(base_url=desired_base_url) - - return _meticulous_api - - -def reset_meticulous_api(): - """Reset the cached API client so the next call picks up new settings. - - Called when METICULOUS_IP is changed via the settings UI. - """ - global _meticulous_api - _meticulous_api = None - invalidate_profile_list_cache() - logger.info("Meticulous API client reset — will reinitialize on next request") - - -async def execute_scheduled_shot( - schedule_id: str, - shot_delay: float, - preheat: bool, - profile_id: Optional[str], - scheduled_shots_dict: dict, - scheduled_tasks_dict: dict, - preheat_duration_minutes: int = 10, -): - """Execute a scheduled shot with optional preheating. - - Args: - schedule_id: Unique identifier for this scheduled shot - shot_delay: Seconds to wait before executing the shot - preheat: Whether to preheat before the shot - profile_id: The profile ID to run (optional, can be None for preheat-only) - scheduled_shots_dict: Reference to the global scheduled shots dictionary - scheduled_tasks_dict: Reference to the global scheduled tasks dictionary - preheat_duration_minutes: Minutes to preheat (default: 10) - """ - from meticulous.api_types import ActionType - - loop = asyncio.get_running_loop() - - try: - api = get_meticulous_api() - - # If preheat is enabled, start it before the scheduled time - if preheat: - preheat_delay = shot_delay - (preheat_duration_minutes * 60) - if preheat_delay > 0: - await asyncio.sleep(preheat_delay) - scheduled_shots_dict[schedule_id]["status"] = "preheating" - - # Start preheat using ActionType.PREHEAT - try: - await loop.run_in_executor( - None, api.execute_action, ActionType.PREHEAT - ) - except Exception as e: - logger.warning( - f"Preheat failed for scheduled shot {schedule_id}: {e}" - ) - - # Wait for remaining time until shot - await asyncio.sleep(preheat_duration_minutes * 60) - else: - # Not enough time for full preheat, start immediately - scheduled_shots_dict[schedule_id]["status"] = "preheating" - try: - await loop.run_in_executor( - None, api.execute_action, ActionType.PREHEAT - ) - except Exception as e: - logger.warning( - f"Preheat failed for scheduled shot {schedule_id}: {e}" - ) - await asyncio.sleep(shot_delay) - else: - await asyncio.sleep(shot_delay) - - scheduled_shots_dict[schedule_id]["status"] = "running" - - # Load and run the profile (if profile_id was provided) - if profile_id: - load_result = await loop.run_in_executor( - None, api.load_profile_by_id, profile_id - ) - if not (hasattr(load_result, "error") and load_result.error): - await loop.run_in_executor(None, api.execute_action, ActionType.START) - scheduled_shots_dict[schedule_id]["status"] = "completed" - else: - scheduled_shots_dict[schedule_id]["status"] = "failed" - scheduled_shots_dict[schedule_id]["error"] = load_result.error - else: - # Preheat only mode - mark as completed - scheduled_shots_dict[schedule_id]["status"] = "completed" - - except asyncio.CancelledError: - scheduled_shots_dict[schedule_id]["status"] = "cancelled" - except Exception as e: - logger.error(f"Scheduled shot {schedule_id} failed: {e}") - scheduled_shots_dict[schedule_id]["status"] = "failed" - scheduled_shots_dict[schedule_id]["error"] = str(e) - finally: - # Clean up task reference - if schedule_id in scheduled_tasks_dict: - del scheduled_tasks_dict[schedule_id] - - -def decompress_shot_data(compressed_data: bytes) -> dict: - """Decompress zstandard-compressed shot data.""" - dctx = zstandard.ZstdDecompressor() - decompressed = dctx.decompress(compressed_data) - return json.loads(decompressed.decode("utf-8")) - - -@_wrap_machine_call -async def fetch_shot_data(date_str: str, filename: str) -> dict: - """Fetch and decompress shot data from the Meticulous machine.""" - api = get_meticulous_api() - url = f"{api.base_url}/api/v1/history/files/{date_str}/{filename}" - - client = _get_http_client() - response = await client.get(url) - response.raise_for_status() - - # Check if it's compressed (zstd) - if filename.endswith(".zst"): - return decompress_shot_data(response.content) - else: - return response.json() - - -# ============================================ -# Async wrappers for synchronous pyMeticulous API calls -# ============================================ -# The pyMeticulous library is fully synchronous. These helpers offload each -# blocking call to a thread-pool executor so the FastAPI event loop stays free. - - -@_wrap_machine_call -async def async_list_profiles(): - """list_profiles() offloaded to a thread, with short-lived TTL cache.""" - global _profile_list_cache, _profile_list_cache_time - now = time.monotonic() - if ( - _profile_list_cache is not None - and (now - _profile_list_cache_time) < _PROFILE_CACHE_TTL - ): - return _profile_list_cache - api = get_meticulous_api() - loop = asyncio.get_running_loop() - result = await loop.run_in_executor(None, api.list_profiles) - _profile_list_cache = result - _profile_list_cache_time = now - return result - - -def invalidate_profile_list_cache(): - """Clear the profile list cache (call after create / update / delete).""" - global _profile_list_cache, _profile_list_cache_time - global _full_profile_cache, _full_profile_cache_time - _profile_list_cache = None - _profile_list_cache_time = 0.0 - _full_profile_cache = None - _full_profile_cache_time = 0.0 - - -@_wrap_machine_call -async def async_fetch_all_profiles(): - """fetch_all_profiles() offloaded to a thread, with short-lived TTL cache. - - Returns full Profile objects including stages, dynamics, and variables. - """ - global _full_profile_cache, _full_profile_cache_time - now = time.monotonic() - if ( - _full_profile_cache is not None - and (now - _full_profile_cache_time) < _PROFILE_CACHE_TTL - ): - return _full_profile_cache - api = get_meticulous_api() - loop = asyncio.get_running_loop() - result = await loop.run_in_executor(None, api.fetch_all_profiles) - _full_profile_cache = result - _full_profile_cache_time = now - return result - - -@_wrap_machine_call -async def async_load_profile_by_id(profile_id: str): - """load_profile_by_id() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.load_profile_by_id, profile_id) - - -def _normalize_profile_for_machine(profile_json: Dict[str, Any]) -> Dict[str, Any]: - """Enrich and normalize espresso-profile-schema JSON for the machine REST API. - - The AI model produces JSON conforming to the OEPF espresso-profile-schema, - but the Meticulous machine's ``/api/v1/profile/save`` endpoint requires - several additional fields. This function — borrowing the same conventions - used by the MCP server's ``create_profile`` tool — fills in the gaps so the - profile can be saved directly. - - Added / defaulted fields: - - ``id`` — random UUID if missing - - ``author`` / ``author_id`` — ``"MeticAI"`` + random UUID - - ``temperature`` — defaults to 90.0 °C - - ``final_weight`` — defaults to 40.0 g - - ``variables`` — always present (empty list if missing) - - ``previous_authors`` — always present (empty list if missing) - - Per-stage ``key`` — auto-generated from type + index if missing - - Per-stage ``limits`` — always an array (never None / absent) - - ``dynamics.interpolation`` — defaults to ``"linear"`` - - ``dynamics.points`` — each point coerced to ``[x, y]`` list form - - Exit-trigger ``relative`` — defaults to ``True`` for time, ``False`` - otherwise (matches MCP profile_builder behaviour) - - Exit-trigger ``comparison`` — defaults to ``">="`` - """ - data = dict(profile_json) # shallow copy - - # ── Top-level identity & metadata ──────────────────────────────────── - # Profile ID MUST be a valid UUID - the machine's /api/v1/profile/get/{id} - # endpoint returns 404 for non-UUID IDs (e.g. slug-style IDs like "my-profile") - existing_id = data.get("id", "") - if existing_id: - try: - uuid.UUID(existing_id) # Validates UUID format - except (ValueError, AttributeError): - # Non-UUID ID - replace with a proper UUID to avoid 404 on fetch - logger.warning("Replacing non-UUID profile ID with UUID: %s", existing_id) - existing_id = "" - if not existing_id: - data["id"] = str(uuid.uuid4()) - data.setdefault("author", "Metic") - if "author_id" not in data or not data["author_id"]: - data["author_id"] = str(uuid.uuid4()) - data.setdefault("temperature", 90.0) - data.setdefault("final_weight", 40.0) - # The Meticulous app crashes if variables array is absent - if "variables" not in data or data.get("variables") is None: - data["variables"] = [] - data.setdefault("previous_authors", []) - - # ── Info variable emoji normalization ──────────────────────────────── - # Info variables (key starts with "info_") MUST have an emoji prefix in name. - # This distinguishes them from adjustable variables (no emoji, used in stages). - emoji_pattern = re.compile( - r"^[\U0001F300-\U0001F9FF" # Supplemental Symbols and Pictographs - r"\U0001F600-\U0001F64F" # Emoticons - r"\U0001F680-\U0001F6FF" # Transport and Map Symbols - r"\U00002600-\U000026FF" # Misc symbols - r"\U00002700-\U000027BF]" # Dingbats - ) - for var in data.get("variables") or []: - key = var.get("key", "") - name = var.get("name", "") - is_info = key.startswith("info_") or var.get("adjustable") is False - # If it's an info variable and name doesn't start with emoji, add default ℹ️ - if is_info and not emoji_pattern.match(name): - var["name"] = f"ℹ️ {name}" if name else "ℹ️ Info" - - # ── Display metadata ───────────────────────────────────────────────── - # The OEPF schema supports display.description / display.shortDescription - # which the Meticulous app stores alongside the profile. - display = data.get("display") or {} - if not isinstance(display, dict): - display = {} - # Truncate shortDescription to 99 chars — the Meticulous app rejects - # longer values and may display garbled text. - short_desc = display.get("shortDescription") - if isinstance(short_desc, str) and len(short_desc) > 99: - display["shortDescription"] = short_desc[:99] - # Preserve any existing description; normalise structure - data["display"] = display - - # ── Per-stage normalisation ────────────────────────────────────────── - for idx, stage in enumerate(data.get("stages") or []): - # type — default to "flow" if missing - stage.setdefault("type", "flow") - stage_type = stage["type"] - - # name — required, default to "Stage N" if missing - stage.setdefault("name", f"Stage {idx + 1}") - - # key — unique string identifier - if "key" not in stage or not stage["key"]: - stage["key"] = f"{stage_type}_{idx}" - - # exit_triggers — required, must be a list - if "exit_triggers" not in stage or stage.get("exit_triggers") is None: - stage["exit_triggers"] = [] - - # limits — must always be a list - if "limits" not in stage or stage.get("limits") is None: - stage["limits"] = [] - - # dynamics — required; ensure it exists with all required sub-fields - dynamics = stage.get("dynamics") or {} - dynamics.setdefault("interpolation", "linear") - dynamics.setdefault("over", "time") - dynamics.setdefault("points", []) - - # dynamics.points — coerce dicts like {"value": 2} to [0, 2] - raw_points = dynamics.get("points") or [] - normalised_points = [] - for pt in raw_points: - if isinstance(pt, dict): - # Single-value shorthand {"value": v} → [0, v] - normalised_points.append([0.0, pt.get("value", 0)]) - elif isinstance(pt, (list, tuple)): - normalised_points.append(list(pt)) - else: - normalised_points.append([0.0, float(pt)]) - dynamics["points"] = normalised_points - stage["dynamics"] = dynamics - - # exit_triggers — ensure relative & comparison are present - for trigger in stage.get("exit_triggers") or []: - if "relative" not in trigger or trigger.get("relative") is None: - trigger["relative"] = trigger.get("type") == "time" - trigger.setdefault("comparison", ">=") - - return data - - -class DuplicateProfileNameError(ValueError): - """Raised when attempting to create a profile with a name that already exists.""" - - pass - - -@_wrap_machine_call -async def async_create_profile(profile_json): - """Upload a profile to the machine via its REST API. - - Normalises the espresso-profile-schema JSON (as produced by the AI model) - into the machine-compatible format and POSTs it to ``/api/v1/profile/save``, - following the same approach used by the MCP server's ``create_profile`` tool. - - Returns a dict with keys: - - All keys from the machine response (typically ``id``, ``error``, etc.) - - ``_normalised_json``: the exact dict that was POSTed to the machine, - suitable for storage as the canonical ``profile_json``. - - Raises: - DuplicateProfileNameError: If a profile with the same name already exists. - """ - # Check for duplicate profile names (uses cached list, ~0ms if warm) - profile_name = profile_json.get("name") if isinstance(profile_json, dict) else None - if profile_name: - try: - existing_profiles = await async_list_profiles() - if existing_profiles and not isinstance(existing_profiles, dict): - existing_names = [getattr(p, "name", None) for p in existing_profiles] - if profile_name in existing_names: - raise DuplicateProfileNameError( - f"A profile named '{profile_name}' already exists. " - f"Please choose a unique name." - ) - except DuplicateProfileNameError: - raise - except Exception as e: - # Don't block creation if we can't check duplicates - logger.warning("Could not check for duplicate profile names: %s", e) - - normalised = _normalize_profile_for_machine(profile_json) - base_url = _resolve_meticulous_base_url() - client = _get_http_client() - response = await client.post( - f"{base_url}/api/v1/profile/save", - json=normalised, - timeout=30.0, - ) - if response.status_code != 200: - body = response.text - logger.error( - "Machine rejected profile save: %s", - body[:1000], - extra={ - "status": response.status_code, - "profile_name": normalised.get("name"), - "profile_keys": list(normalised.keys()), - "stage_count": len(normalised.get("stages", [])), - "stage_keys": [s.get("key") for s in normalised.get("stages", [])], - }, - ) - response.raise_for_status() - invalidate_profile_list_cache() - - result = response.json() - if isinstance(result, dict): - result["_normalised_json"] = normalised - return result - - -@_wrap_machine_call -async def async_load_profile_from_json(profile_json: Dict[str, Any]): - """Load a profile into the machine's memory without persisting to storage. - - POSTs to ``/api/v1/profile/load`` which makes the profile the active - selection for the next shot but does **not** save it to the machine's - profile catalogue. This is ideal for temporary variable overrides — - the original profile remains untouched on disk. - - Args: - profile_json: Full profile dict (will be normalised before sending). - - Returns: - The JSON response from the machine. - """ - normalised = _normalize_profile_for_machine(profile_json) - base_url = _resolve_meticulous_base_url() - client = _get_http_client() - response = await client.post( - f"{base_url}/api/v1/profile/load", - json=normalised, - timeout=30.0, - ) - if response.status_code != 200: - body = response.text - logger.error( - "Machine rejected ephemeral profile load: %s", - body[:1000], - extra={ - "status": response.status_code, - "profile_name": normalised.get("name"), - }, - ) - response.raise_for_status() - return response.json() - - -@_wrap_machine_call -async def async_delete_profile(profile_id: str): - """delete_profile() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - result = await loop.run_in_executor(None, api.delete_profile, profile_id) - invalidate_profile_list_cache() - return result - - -@_wrap_machine_call -async def async_get_last_profile(): - """get_last_profile() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.get_last_profile) - - -@_wrap_machine_call -async def async_get_settings(): - """get_settings() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.get_settings) - - -@_wrap_machine_call -async def async_execute_action(action_type): - """execute_action() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.execute_action, action_type) - - -@_wrap_machine_call -async def async_session_get(path: str): - """api.session.get() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - url = f"{api.base_url}{path}" - return await loop.run_in_executor(None, api.session.get, url) - - -@_wrap_machine_call -async def async_session_post(path: str, json_body: dict = None): - """api.session.post() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - url = f"{api.base_url}{path}" - fn = functools.partial(api.session.post, url, json=json_body) - return await loop.run_in_executor(None, fn) - - -@_wrap_machine_call -async def async_get_history_dates(): - """get_history_dates() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.get_history_dates) - - -@_wrap_machine_call -async def async_get_shot_files(date: str): - """get_shot_files() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.get_shot_files, date) - - -@_wrap_machine_call -async def async_get_profile(profile_id: str): - """get_profile() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - return await loop.run_in_executor(None, api.get_profile, profile_id) - - -@_wrap_machine_call -async def fetch_machine_profile_dict(profile_id: str) -> Dict[str, Any]: - """Fetch a profile from the machine by ID via raw HTTP and return as dict. - - Uses ``/api/v1/profile/get/{id}`` directly so the result is exactly - the JSON the machine stores — no SDK object conversion, no lost fields. - This is the canonical representation used for export. - """ - base_url = _resolve_meticulous_base_url() - client = _get_http_client() - response = await client.get( - f"{base_url}/api/v1/profile/get/{profile_id}", - timeout=15.0, - ) - response.raise_for_status() - return response.json() - - -@_wrap_machine_call -async def async_save_profile(profile): - """save_profile() offloaded to a thread.""" - api = get_meticulous_api() - loop = asyncio.get_running_loop() - result = await loop.run_in_executor(None, api.save_profile, profile) - invalidate_profile_list_cache() - return result diff --git a/apps/server/services/mqtt_service.py b/apps/server/services/mqtt_service.py deleted file mode 100644 index 5f9c2993..00000000 --- a/apps/server/services/mqtt_service.py +++ /dev/null @@ -1,274 +0,0 @@ -"""MQTT subscriber service — receives telemetry from mosquitto and exposes it -to WebSocket clients. - -Architecture: - mosquitto (:1883) ← meticulous-bridge (Socket.IO → MQTT) - FastAPI server subscribes to `meticulous_espresso/sensor/#` - WebSocket endpoint reads latest state dict and pushes to clients at ≤10 FPS. - -The subscriber runs in a background *thread* (paho-mqtt v1 uses its own -network loop) and bridges into asyncio via an `asyncio.Event` that is set -whenever new data arrives. -""" - -import asyncio -import json -import logging -import os -import threading -import time -from typing import Any, Dict, Optional, Set - -logger = logging.getLogger(__name__) - -TEST_MODE = os.environ.get("TEST_MODE") == "true" - -# --------------------------------------------------------------------------- -# Topic prefix published by the meticulous-addon bridge -# --------------------------------------------------------------------------- -TOPIC_PREFIX = "meticulous_espresso/sensor/" -AVAILABILITY_TOPIC = "meticulous_espresso/availability" -HEALTH_TOPIC = "meticulous_espresso/health" - -# --------------------------------------------------------------------------- -# Sensor key → value type coercion -# --------------------------------------------------------------------------- -_FLOAT_SENSORS = frozenset( - { - "boiler_temperature", - "brew_head_temperature", - "external_temp_1", - "external_temp_2", - "pressure", - "flow_rate", - "shot_weight", - "shot_timer", - "preheat_countdown", - "target_temperature", - "target_weight", - "power", - } -) - -_BOOL_SENSORS = frozenset( - { - "brewing", - "connected", - } -) - -_INT_SENSORS = frozenset( - { - "total_shots", - "voltage", - } -) - - -def _coerce_value(sensor_key: str, raw: str) -> Any: - """Convert a raw MQTT string payload to its appropriate Python type.""" - if sensor_key in _FLOAT_SENSORS: - try: - return round(float(raw), 2) - except (ValueError, TypeError): - return raw - if sensor_key in _BOOL_SENSORS: - return raw.lower() in ("true", "1", "on") - if sensor_key in _INT_SENSORS: - try: - return int(float(raw)) - except (ValueError, TypeError): - return raw - return raw - - -# ============================================================================ -# MQTTSubscriber — singleton -# ============================================================================ - - -class MQTTSubscriber: - """Thread-safe MQTT subscriber that keeps the latest sensor snapshot. - - Call `start()` during FastAPI lifespan startup and `stop()` on shutdown. - WebSocket handlers read `self.snapshot` and wait on `self.data_event`. - """ - - def __init__(self) -> None: - self._lock = threading.Lock() - self._ws_lock = threading.Lock() - self.snapshot: Dict[str, Any] = {} - self._availability: Optional[str] = None - self._health: Optional[dict] = None - self._client: Any = None # paho.mqtt.client.Client - self._thread: Optional[threading.Thread] = None - self._running = False - self._loop: Optional[asyncio.AbstractEventLoop] = None - self.data_event: Optional[asyncio.Event] = None - self._connected_ws: Set[int] = set() # track WebSocket client count - - # -- lifecycle ----------------------------------------------------------- - - def start(self, loop: asyncio.AbstractEventLoop) -> None: - """Connect to mosquitto in a background thread.""" - if TEST_MODE: - logger.info("MQTT subscriber skipped (TEST_MODE)") - return - - mqtt_enabled = os.environ.get("MQTT_ENABLED", "true").lower() == "true" - if not mqtt_enabled: - logger.info("MQTT subscriber disabled (MQTT_ENABLED=false)") - return - - self._loop = loop - self.data_event = asyncio.Event() - - mqtt_host = os.environ.get("MQTT_HOST", "127.0.0.1") - mqtt_port = int(os.environ.get("MQTT_PORT", "1883")) - - try: - import paho.mqtt.client as mqtt - except ImportError: - logger.warning("paho-mqtt not installed — MQTT subscriber disabled") - return - - self._client = mqtt.Client(client_id="meticai-server", clean_session=True) - self._client.on_connect = self._on_connect - self._client.on_message = self._on_message - self._client.on_disconnect = self._on_disconnect - - self._running = True - self._thread = threading.Thread( - target=self._run_loop, - args=(mqtt_host, mqtt_port), - daemon=True, - name="mqtt-subscriber", - ) - self._thread.start() - logger.info("MQTT subscriber started → %s:%d", mqtt_host, mqtt_port) - - def stop(self) -> None: - """Disconnect and join the background thread.""" - self._running = False - if self._client is not None: - try: - self._client.loop_stop(force=True) - except Exception: - pass - try: - self._client.disconnect() - except Exception: - pass - if self._thread is not None: - self._thread.join(timeout=5) - if self._thread.is_alive(): - logger.warning("MQTT subscriber thread did not exit within 5 s") - self._thread = None - logger.info("MQTT subscriber stopped") - - # -- paho callbacks (run in the background thread) ----------------------- - - def _run_loop(self, host: str, port: int) -> None: - """Blocking loop with auto-reconnect.""" - while self._running: - try: - self._client.connect(host, port, keepalive=60) - self._client.loop_forever() - except Exception as exc: - logger.warning("MQTT connection failed: %s — retrying in 5s", exc) - time.sleep(5) - - def _on_connect(self, client: Any, userdata: Any, flags: Any, rc: int) -> None: - if rc == 0: - logger.info("MQTT connected, subscribing to telemetry topics") - client.subscribe(f"{TOPIC_PREFIX}#", qos=1) - client.subscribe(AVAILABILITY_TOPIC, qos=1) - client.subscribe(HEALTH_TOPIC, qos=1) - else: - logger.warning("MQTT connect failed rc=%d", rc) - - def _on_message(self, client: Any, userdata: Any, msg: Any) -> None: - topic: str = msg.topic - payload = msg.payload.decode("utf-8", errors="replace") - - if topic == AVAILABILITY_TOPIC: - with self._lock: - self._availability = payload - self.snapshot["availability"] = payload - self._signal_update() - return - - if topic == HEALTH_TOPIC: - try: - data = json.loads(payload) - except json.JSONDecodeError: - data = payload - with self._lock: - self._health = data - self.snapshot["health"] = data - self._signal_update() - return - - # Sensor topics: meticulous_espresso/sensor/{key}/state - if topic.startswith(TOPIC_PREFIX) and topic.endswith("/state"): - sensor_key = topic[len(TOPIC_PREFIX) : -len("/state")] - value = _coerce_value(sensor_key, payload) - with self._lock: - self.snapshot[sensor_key] = value - self._signal_update() - - def _on_disconnect(self, client: Any, userdata: Any, rc: int) -> None: - if rc != 0: - logger.warning("MQTT disconnected unexpectedly rc=%d, will reconnect", rc) - - # -- helpers ------------------------------------------------------------- - - def _signal_update(self) -> None: - """Thread-safe: set the asyncio Event from the paho thread.""" - if self._loop and self.data_event: - self._loop.call_soon_threadsafe(self.data_event.set) - - def get_snapshot(self) -> Dict[str, Any]: - """Return a copy of the current sensor snapshot.""" - with self._lock: - return dict(self.snapshot) - - @property - def ws_client_count(self) -> int: - with self._ws_lock: - return len(self._connected_ws) - - def register_ws(self, ws_id: int) -> None: - with self._ws_lock: - self._connected_ws.add(ws_id) - - def unregister_ws(self, ws_id: int) -> None: - with self._ws_lock: - self._connected_ws.discard(ws_id) - - -# --------------------------------------------------------------------------- -# Module-level singleton -# --------------------------------------------------------------------------- - -_subscriber: Optional[MQTTSubscriber] = None -_subscriber_lock = threading.Lock() - - -def get_mqtt_subscriber() -> MQTTSubscriber: - """Return the global MQTTSubscriber (lazy-created, thread-safe).""" - global _subscriber - if _subscriber is None: - with _subscriber_lock: - if _subscriber is None: - _subscriber = MQTTSubscriber() - return _subscriber - - -def reset_mqtt_subscriber() -> None: - """Stop and discard the current subscriber (for hot-reload).""" - global _subscriber - with _subscriber_lock: - if _subscriber is not None: - _subscriber.stop() - _subscriber = None diff --git a/apps/server/services/pour_over_adapter.py b/apps/server/services/pour_over_adapter.py deleted file mode 100644 index f3f5e748..00000000 --- a/apps/server/services/pour_over_adapter.py +++ /dev/null @@ -1,169 +0,0 @@ -"""Pour-over profile adaptation — pure parameter substitution, no LLM. - -Reads the ``PourOverBase.json`` template and adapts it for a specific brew: - - Sets ``final_weight`` and the Infusion exit-trigger weight - - Updates stage names (e.g. "Bloom (45s)", "Infusion (250g)") - - Removes the Bloom stage if bloom is disabled - - Sets the profile name to ``MeticAI Ratio Pour-Over`` - - Adds a 10-minute time backup to weight-based stages to prevent indefinite runs -""" - -import copy -import json -import logging -import uuid -from pathlib import Path -from typing import Any, Dict, Optional - -from config import DATA_DIR - -logger = logging.getLogger(__name__) - -# Path to the base template (lives in the mounted data volume) -_TEMPLATE_PATH = DATA_DIR / "PourOverBase.json" - -# Fallback if DATA_DIR doesn't have it (e.g. dev environment) -_FALLBACK_TEMPLATE_PATH = ( - Path(__file__).resolve().parent.parent.parent.parent / "data" / "PourOverBase.json" -) - -# Docker image ships the template here via COPY in Dockerfile -_DOCKER_TEMPLATE_PATH = Path("/app/defaults/PourOverBase.json") - -_SEARCH_PATHS = (_TEMPLATE_PATH, _FALLBACK_TEMPLATE_PATH, _DOCKER_TEMPLATE_PATH) - - -def load_pour_over_template() -> Dict[str, Any]: - """Load the PourOverBase.json template, trying DATA_DIR first.""" - # Deduplicate while preserving order (in Docker, _FALLBACK_TEMPLATE_PATH - # resolves to the same path as _TEMPLATE_PATH due to directory depth) - unique_paths = list(dict.fromkeys(_SEARCH_PATHS)) - for path in unique_paths: - if path.exists(): - with open(path, "r", encoding="utf-8") as f: - return json.load(f) - raise FileNotFoundError( - f"PourOverBase.json not found at any of: {', '.join(str(p) for p in unique_paths)}" - ) - - -def adapt_pour_over_profile( - *, - target_weight: float, - bloom_enabled: bool = True, - bloom_seconds: float = 30.0, - dose_grams: Optional[float] = None, - brew_ratio: Optional[float] = None, -) -> Dict[str, Any]: - """Adapt the pour-over template for the given parameters. - - Args: - target_weight: Target brew weight in grams (final_weight). - bloom_enabled: Whether to include the bloom stage. - bloom_seconds: Duration of the bloom stage in seconds. - dose_grams: Dose in grams (informational, stored in display). - brew_ratio: Brew ratio (informational, stored in display). - - Returns: - A fully adapted profile dict ready for machine upload. - """ - template = load_pour_over_template() - profile = copy.deepcopy(template) - - # ── Unique identity ────────────────────────────────────────────────── - profile["id"] = str(uuid.uuid4()) - profile["author_id"] = str(uuid.uuid4()) - - # ── Name ───────────────────────────────────────────────────────────── - weight_label = f"{target_weight:.0f}g" - profile["name"] = "MeticAI Ratio Pour-Over" - - # ── Top-level weight ───────────────────────────────────────────────── - profile["final_weight"] = target_weight - - # ── Short description ──────────────────────────────────────────────── - parts = [f"Target: {weight_label}"] - if dose_grams is not None: - parts.append(f"Dose: {dose_grams:.1f}g") - if brew_ratio is not None: - parts.append(f"Ratio: 1:{brew_ratio:.1f}") - display = profile.get("display") or {} - display["shortDescription"] = " | ".join(parts)[:99] - profile["display"] = display - - # ── Stages ─────────────────────────────────────────────────────────── - stages = profile.get("stages", []) - - if bloom_enabled and len(stages) >= 2: - # Stage 0: Bloom — update time trigger - bloom_stage = stages[0] - bloom_stage["name"] = f"Bloom ({bloom_seconds:.0f}s)" - for trigger in bloom_stage.get("exit_triggers", []): - if trigger.get("type") == "time": - trigger["value"] = bloom_seconds - - # Stage 1: Infusion — update weight trigger and add time backup - infusion_stage = stages[1] - infusion_stage["name"] = f"Infusion ({weight_label})" - has_time_backup = False - for trigger in infusion_stage.get("exit_triggers", []): - if trigger.get("type") == "weight": - trigger["value"] = target_weight - elif trigger.get("type") == "time": - has_time_backup = True - # Add 10-minute time backup if not present - if not has_time_backup: - infusion_stage.setdefault("exit_triggers", []).append( - { - "type": "time", - "value": 600, # 10 minutes - "relative": True, - "comparison": ">=", - } - ) - - elif not bloom_enabled and len(stages) >= 2: - # Remove bloom stage, keep only infusion - infusion_stage = stages[1] - infusion_stage["name"] = f"Infusion ({weight_label})" - infusion_stage["key"] = "power_1" # Re-key since it's now first - has_time_backup = False - for trigger in infusion_stage.get("exit_triggers", []): - if trigger.get("type") == "weight": - trigger["value"] = target_weight - elif trigger.get("type") == "time": - has_time_backup = True - # Add 10-minute time backup if not present - if not has_time_backup: - infusion_stage.setdefault("exit_triggers", []).append( - { - "type": "time", - "value": 600, # 10 minutes - "relative": True, - "comparison": ">=", - } - ) - profile["stages"] = [infusion_stage] - - elif len(stages) == 1: - # Only one stage — treat as infusion - infusion_stage = stages[0] - infusion_stage["name"] = f"Infusion ({weight_label})" - has_time_backup = False - for trigger in infusion_stage.get("exit_triggers", []): - if trigger.get("type") == "weight": - trigger["value"] = target_weight - elif trigger.get("type") == "time": - has_time_backup = True - # Add 10-minute time backup if not present - if not has_time_backup: - infusion_stage.setdefault("exit_triggers", []).append( - { - "type": "time", - "value": 600, # 10 minutes - "relative": True, - "comparison": ">=", - } - ) - - return profile diff --git a/apps/server/services/pour_over_preferences.py b/apps/server/services/pour_over_preferences.py deleted file mode 100644 index e18daf78..00000000 --- a/apps/server/services/pour_over_preferences.py +++ /dev/null @@ -1,127 +0,0 @@ -"""Pour-over preferences service. - -Persists per-mode (free / ratio) pour-over UI preferences so they survive -page reloads and are consistent across devices. - -Storage: ``DATA_DIR / pour_over_preferences.json`` -""" - -import json -import logging -from pathlib import Path -from typing import Optional - -from config import DATA_DIR -from utils.file_utils import atomic_write_json - -logger = logging.getLogger(__name__) - -PREFS_FILE: Path = DATA_DIR / "pour_over_preferences.json" - -_MODE_DEFAULTS = { - "autoStart": True, - "bloomEnabled": True, - "bloomSeconds": 30, - "bloomWeightMultiplier": 2, - "machineIntegration": False, - "doseGrams": None, - "brewRatio": None, -} - -_RECIPE_MODE_DEFAULTS = { - "machineIntegration": False, - "autoStart": True, - "progressionMode": "weight", # "weight" = advance pours on scale, "time" = advance all on timer -} - -_DEFAULT_PREFS = { - "free": dict(_MODE_DEFAULTS), - "ratio": dict(_MODE_DEFAULTS), - "recipe": dict(_RECIPE_MODE_DEFAULTS), -} - -# In-memory cache – loaded lazily, write-through on save. -_cache: Optional[dict] = None - - -def _ensure_file() -> None: - """Create the prefs file with defaults if it doesn't exist yet.""" - PREFS_FILE.parent.mkdir(parents=True, exist_ok=True) - if not PREFS_FILE.exists(): - atomic_write_json(PREFS_FILE, _DEFAULT_PREFS) - - -def load_preferences() -> dict: - """Return the full preferences dict, merging with defaults for safety.""" - global _cache - if _cache is not None: - return _cache - - _ensure_file() - - try: - with open(PREFS_FILE, "r", encoding="utf-8") as f: - data = json.load(f) - except (json.JSONDecodeError, FileNotFoundError): - data = None - - if not isinstance(data, dict): - data = {} - - # Merge defaults per mode so missing keys always have a value. - result: dict = {} - for mode in ("free", "ratio"): - stored = data.get(mode, {}) - if not isinstance(stored, dict): - stored = {} - result[mode] = {**_MODE_DEFAULTS, **stored} - - # Recipe mode uses its own smaller defaults - stored_recipe = data.get("recipe", {}) - if not isinstance(stored_recipe, dict): - stored_recipe = {} - result["recipe"] = {**_RECIPE_MODE_DEFAULTS, **stored_recipe} - - _cache = result - return _cache - - -def save_preferences(prefs: dict) -> dict: - """Validate, persist, and return the normalised preferences. - - Only known keys are stored; unexpected keys are silently dropped. - """ - global _cache - _ensure_file() - - result: dict = {} - for mode in ("free", "ratio"): - incoming = prefs.get(mode, {}) - if not isinstance(incoming, dict): - incoming = {} - - merged = dict(_MODE_DEFAULTS) # start from defaults - for key in _MODE_DEFAULTS: - if key in incoming: - merged[key] = incoming[key] - result[mode] = merged - - # Recipe mode preferences - incoming_recipe = prefs.get("recipe", {}) - if not isinstance(incoming_recipe, dict): - incoming_recipe = {} - merged_recipe = dict(_RECIPE_MODE_DEFAULTS) - for key in _RECIPE_MODE_DEFAULTS: - if key in incoming_recipe: - merged_recipe[key] = incoming_recipe[key] - result["recipe"] = merged_recipe - - _cache = result - atomic_write_json(PREFS_FILE, result) - return result - - -def reset_cache() -> None: - """Clear the in-memory cache (useful in tests).""" - global _cache - _cache = None diff --git a/apps/server/services/profile_recommendation_service.py b/apps/server/services/profile_recommendation_service.py deleted file mode 100644 index 0f0eaebe..00000000 --- a/apps/server/services/profile_recommendation_service.py +++ /dev/null @@ -1,615 +0,0 @@ -"""Profile recommendation service — fully local, token-free scoring. - -Compares profiles by structural features (stage types, dynamics, -pressure/flow control), target weight, peak pressure, temperature, -and keyword tags. No AI/LLM calls — everything is deterministic. -""" - -import asyncio -import hashlib -import json -import threading -from collections import OrderedDict -from typing import Optional - -from logging_config import get_logger -from services.meticulous_service import async_fetch_all_profiles - -logger = get_logger() - -_MAX_CACHE_SIZE = 50 - - -# --------------------------------------------------------------------------- -# LRU cache (unchanged) -# --------------------------------------------------------------------------- - - -class _LRUCache: - """Thread-safe LRU cache with a fixed max size.""" - - def __init__(self, maxsize: int = _MAX_CACHE_SIZE): - self._maxsize = maxsize - self._cache: OrderedDict[str, list[dict]] = OrderedDict() - self._lock = threading.Lock() - - def get(self, key: str) -> Optional[list[dict]]: - with self._lock: - if key in self._cache: - self._cache.move_to_end(key) - return self._cache[key] - return None - - def put(self, key: str, value: list[dict]) -> None: - with self._lock: - if key in self._cache: - self._cache.move_to_end(key) - self._cache[key] = value - while len(self._cache) > self._maxsize: - self._cache.popitem(last=False) - - def clear(self) -> None: - with self._lock: - self._cache.clear() - - -def _cache_key(tags: list[str], limit: int) -> str: - raw = json.dumps({"tags": sorted(tags), "limit": limit}, sort_keys=True) - return hashlib.sha256(raw.encode()).hexdigest()[:16] - - -# --------------------------------------------------------------------------- -# Structural fingerprint extraction -# --------------------------------------------------------------------------- - - -def extract_fingerprint(profile: object) -> dict: - """Extract a structural fingerprint from a full profile. - - Returns a dict with: - stage_types: list[str] — e.g. ["pressure", "pressure", "flow"] - control_mode: str — "pressure" | "flow" | "mixed" - has_preinfusion: bool - has_bloom: bool - has_pulse: bool - is_flat: bool — single constant pressure/flow - peak_pressure: float — max bar across all stages - stage_count: int - technique_tags: set[str] — derived structural tags - temperature: float | None - final_weight: float | None - """ - stages = getattr(profile, "stages", None) or [] - temperature = getattr(profile, "temperature", None) - final_weight = getattr(profile, "final_weight", None) - - stage_types: list[str] = [] - peak_pressure = 0.0 - has_preinfusion = False - has_bloom = False - has_pulse = False - is_flat = True - technique_tags: set[str] = set() - - for stage in stages: - stype = (getattr(stage, "type", "") or "").lower() - stage_types.append(stype) - sname = (getattr(stage, "name", "") or "").lower() - - # Preinfusion detection - if "preinfusion" in sname or "pre-infusion" in sname or "pre infusion" in sname: - has_preinfusion = True - technique_tags.add("preinfusion") - - # Bloom detection - if "bloom" in sname or "soak" in sname: - has_bloom = True - technique_tags.add("bloom") - - # Pulse detection (stage name or many short stages) - if "pulse" in sname: - has_pulse = True - technique_tags.add("pulse") - - # Extract peak pressure from dynamics points - dynamics = getattr(stage, "dynamics", None) - if dynamics: - points = getattr(dynamics, "points", []) or [] - for point in points: - if len(point) >= 2: - try: - y_val = float(point[1]) - except (TypeError, ValueError): - continue - if stype == "pressure" and y_val > peak_pressure: - peak_pressure = y_val - - # Check for flatness (all y-values the same in dynamics) - if len(points) >= 2: - y_values = [] - for p in points: - if len(p) >= 2: - try: - y_values.append(float(p[1])) - except (TypeError, ValueError): - pass - if y_values and len(set(round(y, 1) for y in y_values)) > 1: - is_flat = False - - # Extract pressure limits - limits = getattr(stage, "limits", None) or [] - for limit_obj in limits: - ltype = (getattr(limit_obj, "type", "") or "").lower() - lval = getattr(limit_obj, "value", None) - if ltype == "pressure" and lval is not None: - try: - pval = float(lval) - if pval > peak_pressure: - peak_pressure = pval - except (TypeError, ValueError): - pass - - # Stage name technique keywords - for kw in ["lever", "turbo", "ramp", "decline", "taper"]: - if kw in sname: - technique_tags.add(kw) - - # Determine control mode - pressure_count = sum(1 for t in stage_types if t == "pressure") - flow_count = sum(1 for t in stage_types if t == "flow") - total = pressure_count + flow_count - if total == 0: - control_mode = "unknown" - elif pressure_count > 0 and flow_count == 0: - control_mode = "pressure" - technique_tags.add("pressure-profile") - elif flow_count > 0 and pressure_count == 0: - control_mode = "flow" - technique_tags.add("flow-profile") - else: - control_mode = "mixed" - technique_tags.add("mixed-profile") - - # Pulse heuristic: many short stages (>4 stages often indicates pulse-like) - if len(stages) >= 5 and not has_pulse: - has_pulse = True - technique_tags.add("pulse") - - if has_preinfusion: - technique_tags.add("preinfusion") - if has_bloom: - technique_tags.add("bloom") - if is_flat and len(stages) <= 2: - technique_tags.add("flat") - - return { - "stage_types": stage_types, - "control_mode": control_mode, - "has_preinfusion": has_preinfusion, - "has_bloom": has_bloom, - "has_pulse": has_pulse, - "is_flat": is_flat and len(stages) <= 2, - "peak_pressure": round(peak_pressure, 1), - "stage_count": len(stages), - "technique_tags": technique_tags, - "temperature": temperature, - "final_weight": final_weight, - } - - -# --------------------------------------------------------------------------- -# Keyword tag extraction (from profile name + stage names) -# --------------------------------------------------------------------------- - -_NAME_KEYWORDS = frozenset( - [ - "fruity", - "chocolate", - "nutty", - "floral", - "caramel", - "berry", - "citrus", - "sweet", - "balanced", - "creamy", - "syrupy", - "light", - "medium", - "dark", - "modern", - "italian", - "lever", - "turbo", - "bloom", - "long", - "short", - "pre-infusion", - "pulse", - "acidity", - "funky", - "thin", - "mouthfeel", - "ristretto", - "lungo", - "allonge", - "espresso", - "filter", - ] -) - -_STAGE_KEYWORDS = frozenset( - [ - "preinfusion", - "pre-infusion", - "bloom", - "ramp", - "soak", - "infusion", - "extraction", - "decline", - "taper", - "hold", - "pulse", - "turbo", - "lever", - "flat", - "pressure", - "flow", - ] -) - - -def _extract_name_tags(profile: object) -> set[str]: - """Extract keyword tags from profile name and stage names.""" - tags: set[str] = set() - name = (getattr(profile, "name", "") or "").lower() - for kw in _NAME_KEYWORDS: - if kw in name: - tags.add(kw) - - stages = getattr(profile, "stages", None) or [] - for stage in stages: - sname = (getattr(stage, "name", "") or "").lower() - for kw in _STAGE_KEYWORDS: - if kw in sname: - tags.add(kw) - - return tags - - -def _jaccard(a: set[str], b: set[str]) -> float: - if not a and not b: - return 0.0 - union = a | b - if not union: - return 0.0 - return len(a & b) / len(union) - - -# --------------------------------------------------------------------------- -# Proximity helpers -# --------------------------------------------------------------------------- - - -def _proximity_score( - a: float | None, - b: float | None, - full_range: float, - partial_range: float, - max_points: float, -) -> tuple[float, str | None]: - """Score how close two numeric values are. Returns (score, reason_or_None).""" - if a is None or b is None: - return 0.0, None - diff = abs(a - b) - if diff <= full_range: - return max_points, None - if diff <= partial_range: - frac = 1 - (diff - full_range) / (partial_range - full_range) - return round(max_points * frac, 1), None - return 0.0, None - - -# --------------------------------------------------------------------------- -# Main scoring function -# --------------------------------------------------------------------------- - - -def _score_profile( - user_tags: set[str], - user_fingerprint: dict | None, - candidate: object, -) -> tuple[float, list[str], str]: - """Score a candidate profile. Returns (score, match_reasons, explanation). - - Point allocation (100 max): - - Stage structure fingerprint: 35 - - Tag/keyword matching: 25 - - Target weight similarity: 15 - - Peak pressure similarity: 15 - - Temperature similarity: 10 - """ - reasons: list[str] = [] - score = 0.0 - - cand_fp = extract_fingerprint(candidate) - cand_tags = _extract_name_tags(candidate) - - # --- Stage structure (35 points) --- - if user_fingerprint: - struct_score = 0.0 - - # Control mode match (pressure/flow/mixed) — 12 pts - if user_fingerprint["control_mode"] == cand_fp["control_mode"]: - struct_score += 12 - reasons.append(f"{cand_fp['control_mode'].capitalize()}-controlled") - elif ( - user_fingerprint["control_mode"] != "unknown" - and cand_fp["control_mode"] != "unknown" - ): - # Partial credit for mixed vs pressure/flow - if "mixed" in (user_fingerprint["control_mode"], cand_fp["control_mode"]): - struct_score += 4 - - # Technique feature overlap — 15 pts - user_techniques = user_fingerprint.get("technique_tags", set()) - cand_techniques = cand_fp.get("technique_tags", set()) - if user_techniques or cand_techniques: - tech_sim = _jaccard(user_techniques, cand_techniques) - struct_score += tech_sim * 15 - overlap = user_techniques & cand_techniques - if overlap: - reasons.append(f"Techniques: {', '.join(sorted(overlap))}") - - # Stage count similarity — 4 pts - count_diff = abs(user_fingerprint["stage_count"] - cand_fp["stage_count"]) - if count_diff == 0: - struct_score += 4 - elif count_diff <= 1: - struct_score += 2 - elif count_diff <= 2: - struct_score += 1 - - # Flat profile match — 4 pts - if user_fingerprint["is_flat"] == cand_fp["is_flat"]: - struct_score += 4 - if cand_fp["is_flat"]: - reasons.append("Flat profile") - - score += min(struct_score, 35) - - # --- Tag matching (25 points) --- - user_lower = {t.lower() for t in user_tags} - # Merge structural technique tags into candidate tags for broader matching - all_cand_tags = cand_tags | cand_fp.get("technique_tags", set()) - if user_lower: - tag_sim = _jaccard(user_lower, all_cand_tags) - tag_pts = tag_sim * 25 - score += tag_pts - overlap = user_lower & all_cand_tags - if overlap: - # Filter out already-reported technique tags - tag_only = overlap - (user_fingerprint or {}).get("technique_tags", set()) - if tag_only: - reasons.append(f"Matching: {', '.join(sorted(tag_only))}") - - # --- Target weight (15 points) --- - user_weight = (user_fingerprint or {}).get("final_weight") - cand_weight = cand_fp.get("final_weight") - w_pts, _ = _proximity_score(user_weight, cand_weight, 2.0, 10.0, 15) - score += w_pts - if w_pts >= 10 and cand_weight is not None: - reasons.append(f"Target weight: {cand_weight:.0f}g") - - # --- Peak pressure (15 points) --- - user_peak = (user_fingerprint or {}).get("peak_pressure", 0) - cand_peak = cand_fp.get("peak_pressure", 0) - if user_peak > 0 and cand_peak > 0: - p_pts, _ = _proximity_score(user_peak, cand_peak, 0.5, 3.0, 15) - score += p_pts - if p_pts >= 10: - reasons.append(f"Peak pressure: {cand_peak:.1f} bar") - - # --- Temperature (10 points) --- - user_temp = (user_fingerprint or {}).get("temperature") - cand_temp = cand_fp.get("temperature") - t_pts, _ = _proximity_score(user_temp, cand_temp, 2.0, 5.0, 10) - score += t_pts - if t_pts >= 7 and cand_temp is not None: - reasons.append(f"Temperature: {cand_temp:.1f}°C") - - # Build explanation from reasons - explanation = "; ".join(reasons) if reasons else "" - - return min(round(score, 1), 100), reasons, explanation - - -# --------------------------------------------------------------------------- -# Service class -# --------------------------------------------------------------------------- - - -class ProfileRecommendationService: - """Local-only profile recommendation engine — zero AI tokens.""" - - def __init__(self) -> None: - self._cache = _LRUCache(_MAX_CACHE_SIZE) - self._async_lock: asyncio.Lock | None = None - - def _get_async_lock(self) -> asyncio.Lock: - if self._async_lock is None: - self._async_lock = asyncio.Lock() - return self._async_lock - - async def get_recommendations( - self, - tags: list[str], - limit: int = 5, - ) -> list[dict]: - """Return recommendations as list of {profile_name, score, explanation, match_reasons}.""" - key = _cache_key(tags, limit) - cached = self._cache.get(key) - if cached is not None: - return cached - - async with self._get_async_lock(): - cached = self._cache.get(key) - if cached is not None: - return cached - results = await self._compute(tags, limit) - self._cache.put(key, results) - return results - - async def _compute( - self, - tags: list[str], - limit: int, - ) -> list[dict]: - """Score all profiles and return top results.""" - profiles = await self._fetch_profiles() - if not profiles: - return [] - - user_tags = set(tags) if tags else set() - - # Build a synthetic "user fingerprint" by averaging the top tag-matching - # profiles, or just use tags as structural hints - user_fingerprint = self._build_user_fingerprint(user_tags, profiles) - - scored: list[dict] = [] - for p in profiles: - s, reasons, explanation = _score_profile(user_tags, user_fingerprint, p) - scored.append( - { - "profile_name": getattr(p, "name", "Unknown"), - "score": s, - "explanation": explanation, - "match_reasons": reasons, - } - ) - - scored.sort(key=lambda x: x["score"], reverse=True) - return [s for s in scored if s["score"] > 0][:limit] - - async def find_similar( - self, - source_profile_name: str, - limit: int = 10, - ) -> list[dict]: - """Find profiles structurally similar to a given profile.""" - profiles = await self._fetch_profiles() - if not profiles: - return [] - - # Find source - source = None - for p in profiles: - if getattr(p, "name", "") == source_profile_name: - source = p - break - if source is None: - return [] - - source_fp = extract_fingerprint(source) - source_tags = _extract_name_tags(source) - - scored: list[dict] = [] - for p in profiles: - if getattr(p, "name", "") == source_profile_name: - continue - s, reasons, explanation = _score_profile(source_tags, source_fp, p) - scored.append( - { - "profile_name": getattr(p, "name", "Unknown"), - "score": s, - "explanation": explanation, - "match_reasons": reasons, - } - ) - - scored.sort(key=lambda x: x["score"], reverse=True) - return [s for s in scored if s["score"] > 0][:limit] - - def invalidate_cache(self) -> None: - """Called when profiles are created/edited/deleted.""" - self._cache.clear() - logger.debug("Profile recommendation cache invalidated") - - @staticmethod - async def _fetch_profiles() -> list: - """Fetch full profiles (with stages) from the machine.""" - try: - result = await async_fetch_all_profiles() - if hasattr(result, "error") and result.error: - logger.warning(f"Failed to fetch profiles: {result.error}") - return [] - return list(result) - except Exception as e: - logger.warning(f"Failed to fetch profiles for recommendations: {e}") - return [] - - @staticmethod - def _build_user_fingerprint(user_tags: set[str], profiles: list) -> dict: - """Build a synthetic fingerprint from user tags. - - Uses structural hints in the tags (e.g. "preinfusion", "bloom", "pulse", - "pressure", "flow") to create a target fingerprint for comparison. - """ - technique_tags: set[str] = set() - - # Map user tags to structural features - tag_to_technique = { - "preinfusion": "preinfusion", - "pre-infusion": "preinfusion", - "bloom": "bloom", - "soak": "bloom", - "pulse": "pulse", - "lever": "lever", - "turbo": "turbo", - "ramp": "ramp", - "decline": "decline", - "taper": "taper", - "flat": "flat", - "pressure": "pressure-profile", - "flow": "flow-profile", - } - - for tag in user_tags: - t_lower = tag.lower() - if t_lower in tag_to_technique: - technique_tags.add(tag_to_technique[t_lower]) - - # Determine control mode from tags - control_mode = "unknown" - if "pressure-profile" in technique_tags: - control_mode = "pressure" - elif "flow-profile" in technique_tags: - control_mode = "flow" - - # Estimate stage count based on technique complexity - stage_count = 2 # baseline - if "preinfusion" in technique_tags: - stage_count += 1 - if "bloom" in technique_tags: - stage_count += 1 - if "pulse" in technique_tags: - stage_count = max(stage_count, 5) - - return { - "stage_types": [], - "control_mode": control_mode, - "has_preinfusion": "preinfusion" in technique_tags, - "has_bloom": "bloom" in technique_tags, - "has_pulse": "pulse" in technique_tags, - "is_flat": "flat" in technique_tags, - "peak_pressure": 0, # unknown from tags - "stage_count": stage_count, - "technique_tags": technique_tags, - "temperature": None, - "final_weight": None, - } - - -# Module-level singleton -recommendation_service = ProfileRecommendationService() diff --git a/apps/server/services/recipe_adapter.py b/apps/server/services/recipe_adapter.py deleted file mode 100644 index 725b799f..00000000 --- a/apps/server/services/recipe_adapter.py +++ /dev/null @@ -1,225 +0,0 @@ -"""Recipe profile adaptation — converts OPOS recipes to Meticulous OEPF profiles. - -Reads a recipe from the bundled recipe library and builds a Meticulous machine -profile with one stage per OPOS protocol step: - - - ``bloom`` steps → time exit trigger (respects rest period) - - ``pour`` steps → weight exit trigger + 10-minute time backup - - ``wait`` / ``swirl`` / ``stir`` steps → time exit trigger - -All stages use ``type: power`` with zero power (passive pour-over flow). -""" - -import copy -import json -import logging -import uuid -from pathlib import Path -from typing import Any, Dict, List - -from config import DATA_DIR -from services.pour_over_adapter import load_pour_over_template - -logger = logging.getLogger(__name__) - -# Recipe search paths (mirroring the pour_over_adapter pattern) -_RECIPES_DATA_PATH = DATA_DIR / "recipes" -_RECIPES_FALLBACK_PATH = ( - Path(__file__).resolve().parent.parent.parent.parent / "data" / "recipes" -) -_RECIPES_DOCKER_PATH = Path("/app/defaults/recipes") - -_SEARCH_DIRS = (_RECIPES_DATA_PATH, _RECIPES_FALLBACK_PATH, _RECIPES_DOCKER_PATH) - -_STAGE_TEMPLATE = { - "type": "power", - "dynamics": { - "points": [[0, "$power_Zero"], [10, "$power_Zero"]], - "over": "time", - "interpolation": "curve", - }, - "limits": [], -} - - -def _get_recipes_dir() -> Path: - """Return the first recipes directory that exists.""" - for path in _SEARCH_DIRS: - if path.exists() and path.is_dir(): - return path - raise FileNotFoundError( - f"Recipes directory not found at any of: {', '.join(str(p) for p in _SEARCH_DIRS)}" - ) - - -def list_recipe_slugs() -> List[str]: - """Return sorted list of available recipe slugs.""" - try: - recipes_dir = _get_recipes_dir() - except FileNotFoundError: - return [] - return sorted(p.stem for p in recipes_dir.glob("*.json")) - - -def load_recipe(slug: str) -> Dict[str, Any]: - """Load and return a recipe dict by slug. - - Args: - slug: Recipe filename stem (e.g. ``"4-6-method"``). - - Returns: - Parsed recipe dict with a ``slug`` key added. - - Raises: - FileNotFoundError: If the recipe slug does not exist. - """ - try: - recipes_dir = _get_recipes_dir() - except FileNotFoundError as exc: - raise FileNotFoundError(f"Recipe '{slug}' not found: {exc}") from exc - - path = recipes_dir / f"{slug}.json" - if not path.exists(): - raise FileNotFoundError(f"Recipe '{slug}' not found") - - with open(path, "r", encoding="utf-8") as f: - recipe = json.load(f) - - recipe["slug"] = slug - return recipe - - -def list_recipes() -> List[Dict[str, Any]]: - """Return all available recipes, each with a ``slug`` key added.""" - try: - recipes_dir = _get_recipes_dir() - except FileNotFoundError: - return [] - - recipes = [] - for path in sorted(recipes_dir.glob("*.json")): - slug = path.stem - try: - with open(path, "r", encoding="utf-8") as f: - recipe = json.load(f) - recipe["slug"] = slug - recipes.append(recipe) - except Exception as exc: - logger.warning("Failed to load recipe '%s': %s", slug, exc) - return recipes - - -def adapt_recipe_to_profile(recipe: Dict[str, Any]) -> Dict[str, Any]: - """Convert an OPOS recipe dict to a Meticulous OEPF profile. - - Maps each protocol step to a machine stage: - - ``bloom``/``pour`` → exit when cumulative weight reached - - ``wait``/``swirl``/``stir`` → exit after ``duration_s`` seconds - - Args: - recipe: Parsed OPOS recipe dict (must include ``ingredients`` and ``protocol``). - - Returns: - A fully adapted profile dict ready for machine upload. - """ - template = load_pour_over_template() - profile = copy.deepcopy(template) - - # ── Unique identity ────────────────────────────────────────────────────── - profile["id"] = str(uuid.uuid4()) - profile["author_id"] = str(uuid.uuid4()) - - # ── Name ───────────────────────────────────────────────────────────────── - recipe_name = recipe.get("metadata", {}).get("name", "Recipe") - profile["name"] = f"MeticAI Recipe: {recipe_name}" - - # ── Top-level weight ────────────────────────────────────────────────────── - ingredients = recipe.get("ingredients", {}) - total_water = float(ingredients.get("water_g", 0)) - coffee_g = float(ingredients.get("coffee_g", 0)) or None - profile["final_weight"] = total_water - - # ── Short description ───────────────────────────────────────────────────── - parts = [f"Target: {total_water:.0f}g"] - if coffee_g: - parts.append(f"Dose: {coffee_g:.0f}g") - ratio = total_water / coffee_g - parts.append(f"Ratio: 1:{ratio:.1f}") - display = profile.get("display") or {} - display["shortDescription"] = " | ".join(parts)[:99] - profile["display"] = display - - # ── Build stages from OPOS protocol steps ───────────────────────────────── - stages: list = [] - cumulative_water = 0.0 - pour_count = 0 - - for step in recipe.get("protocol", []): - action = step.get("action", "") - water_g = float(step.get("water_g") or 0) - duration_s = float(step.get("duration_s") or 30) - notes = step.get("notes", "") - - stage = copy.deepcopy(_STAGE_TEMPLATE) - stage["key"] = f"power_{len(stages) + 1}" - - if action in ("bloom", "pour"): - cumulative_water += water_g - if action == "bloom": - stage["name"] = f"Bloom ({water_g:.0f}g / {duration_s:.0f}s)" - # Bloom exits on time so the rest period is honoured - stage["exit_triggers"] = [ - { - "type": "time", - "value": duration_s, - "relative": True, - "comparison": ">=", - } - ] - else: - pour_count += 1 - stage["name"] = f"Pour {pour_count} (to {cumulative_water:.0f}g)" - stage["exit_triggers"] = [ - { - "type": "weight", - "value": cumulative_water, - "relative": False, - "comparison": ">=", - }, - # 10-minute time backup to prevent indefinite runs - { - "type": "time", - "value": 600, - "relative": True, - "comparison": ">=", - }, - ] - - elif action in ("wait", "swirl", "stir"): - if action == "swirl": - stage["name"] = "Swirl" - elif action == "stir": - stage["name"] = "Stir" - else: - stage["name"] = f"Wait ({duration_s:.0f}s)" - - stage["exit_triggers"] = [ - { - "type": "time", - "value": duration_s, - "relative": True, - "comparison": ">=", - } - ] - - else: - logger.debug("Skipping unknown OPOS action '%s'", action) - continue - - if notes: - stage["notes"] = notes - - stages.append(stage) - - profile["stages"] = stages - return profile diff --git a/apps/server/services/scheduling_state.py b/apps/server/services/scheduling_state.py deleted file mode 100644 index b96778a9..00000000 --- a/apps/server/services/scheduling_state.py +++ /dev/null @@ -1,373 +0,0 @@ -"""Shared state, persistence, and helper functions for scheduling. - -This module is the single source of truth for: -- Scheduled shots state and persistence -- Recurring schedules state and persistence -- Helper functions for schedule timing calculations -""" - -from datetime import datetime, timezone, timedelta -from typing import Optional -import logging -import json -import asyncio -from pathlib import Path - -from config import DATA_DIR - -logger = logging.getLogger(__name__) - -# ============================================================================== -# Shared In-Memory State -# ============================================================================== -# These are the ONLY copies of these dictionaries - all modules should import from here - -_scheduled_shots: dict = {} -_scheduled_tasks: dict = {} -_recurring_schedules: dict = {} - -# Module-level lock protecting mutations to the above dicts. -# Callers that read-modify-write any of these dicts across an ``await`` -# boundary MUST hold this lock to prevent interleaved mutations. -# Created lazily and recreated when the running event loop changes so that -# tests using a new loop per function don't hit "attached to a different loop". -_state_lock: Optional[asyncio.Lock] = None -_state_lock_loop: Optional[asyncio.AbstractEventLoop] = None - - -def _get_state_lock() -> asyncio.Lock: - """Return the module-level state lock, (re)creating it when needed. - - The lock is recreated when the running event loop differs from the one - it was originally bound to. This avoids ``RuntimeError: ... attached to - a different loop`` in test suites that create a fresh loop per test. - """ - global _state_lock, _state_lock_loop - try: - running_loop = asyncio.get_running_loop() - except RuntimeError: - running_loop = None - - if _state_lock is None or ( - running_loop is not None and running_loop is not _state_lock_loop - ): - _state_lock = asyncio.Lock() - _state_lock_loop = running_loop - return _state_lock - - -# Constant for preheat duration -PREHEAT_DURATION_MINUTES = 10 - - -# ============================================================================== -# Scheduled Shots Persistence -# ============================================================================== - - -class ScheduledShotsPersistence: - """Manages persistence of scheduled shots to disk. - - Scheduled shots are stored in a JSON file to survive server restarts. - This ensures that scheduled shots are not lost during crashes, deploys, - or host reboots. - """ - - def __init__(self, persistence_file: str | Path | None = None): - """Initialize the persistence layer. - - Args: - persistence_file: Path to the JSON file for storing scheduled shots. - Defaults to DATA_DIR/scheduled_shots.json. - """ - if persistence_file is None: - self.persistence_file = DATA_DIR / "scheduled_shots.json" - else: - self.persistence_file = Path(persistence_file) - self._lock = asyncio.Lock() - - # Ensure the parent directory exists - self.persistence_file.parent.mkdir(parents=True, exist_ok=True) - - async def save(self, scheduled_shots: dict) -> None: - """Save scheduled shots to disk. - - Args: - scheduled_shots: Dictionary of scheduled shots to persist. - """ - async with self._lock: - try: - # Only save shots that are scheduled or preheating (not completed/failed/cancelled) - active_shots = { - shot_id: shot - for shot_id, shot in scheduled_shots.items() - if shot.get("status") in ["scheduled", "preheating"] - } - - # Write atomically using a temporary file - temp_file = self.persistence_file.with_suffix(".tmp") - with open(temp_file, "w") as f: - json.dump(active_shots, f, indent=2) - - # Atomic rename - temp_file.replace(self.persistence_file) - - logger.debug( - f"Persisted {len(active_shots)} scheduled shots to {self.persistence_file}" - ) - except Exception as e: - logger.error(f"Failed to save scheduled shots: {e}", exc_info=True) - - async def load(self) -> dict: - """Load scheduled shots from disk. - - Returns: - Dictionary of scheduled shots, or empty dict if file doesn't exist or is invalid. - """ - async with self._lock: - try: - if not self.persistence_file.exists(): - logger.info("No persisted scheduled shots found (first run)") - return {} - - with open(self.persistence_file, "r") as f: - data = json.load(f) - - if not isinstance(data, dict): - logger.warning("Invalid scheduled shots file format, ignoring") - return {} - - logger.info( - f"Loaded {len(data)} scheduled shots from {self.persistence_file}" - ) - return data - except json.JSONDecodeError as e: - logger.error(f"Corrupt scheduled shots file, ignoring: {e}") - # Backup the corrupt file - try: - backup_file = self.persistence_file.with_suffix(".corrupt") - self.persistence_file.rename(backup_file) - logger.info(f"Backed up corrupt file to {backup_file}") - except Exception: - # Ignore errors during backup (file system issues, permissions, etc.) - pass - return {} - except Exception as e: - logger.error(f"Failed to load scheduled shots: {e}", exc_info=True) - return {} - - async def clear(self) -> None: - """Clear all persisted scheduled shots.""" - async with self._lock: - try: - if self.persistence_file.exists(): - self.persistence_file.unlink() - logger.info("Cleared persisted scheduled shots") - except Exception as e: - logger.error(f"Failed to clear scheduled shots: {e}", exc_info=True) - - -# ============================================================================== -# Recurring Schedules Persistence -# ============================================================================== - - -class RecurringSchedulesPersistence: - """Manages persistence of recurring schedules to disk. - - Recurring schedules define repeated preheat/shot times (e.g., daily, weekdays). - """ - - def __init__(self, persistence_file: str | Path | None = None): - if persistence_file is None: - self.persistence_file = DATA_DIR / "recurring_schedules.json" - else: - self.persistence_file = Path(persistence_file) - self._lock = asyncio.Lock() - - self.persistence_file.parent.mkdir(parents=True, exist_ok=True) - - async def save(self, schedules: dict) -> None: - """Save recurring schedules to disk. - - Persists ALL schedules (enabled and disabled) so that disabled - schedules survive restarts and can be re-enabled later. - """ - async with self._lock: - try: - temp_file = self.persistence_file.with_suffix(".tmp") - with open(temp_file, "w") as f: - json.dump(schedules, f, indent=2) - temp_file.replace(self.persistence_file) - - enabled_count = sum( - 1 for s in schedules.values() if s.get("enabled", True) - ) - logger.debug( - f"Persisted {len(schedules)} recurring schedules ({enabled_count} enabled)" - ) - except Exception as e: - logger.error(f"Failed to save recurring schedules: {e}", exc_info=True) - - async def load(self) -> dict: - """Load recurring schedules from disk.""" - async with self._lock: - try: - if not self.persistence_file.exists(): - return {} - - with open(self.persistence_file, "r") as f: - data = json.load(f) - - if not isinstance(data, dict): - return {} - - logger.info(f"Loaded {len(data)} recurring schedules") - return data - except Exception as e: - logger.error(f"Failed to load recurring schedules: {e}", exc_info=True) - return {} - - -# ============================================================================== -# Persistence Instances and Helper Functions -# ============================================================================== - -# Initialize persistence layers -_scheduled_shots_persistence = ScheduledShotsPersistence() -_recurring_schedules_persistence = RecurringSchedulesPersistence() - -# Legacy alias for backward compatibility -SchedulePersistence = ScheduledShotsPersistence - - -async def save_scheduled_shots(): - """Save scheduled shots to persistence.""" - await _scheduled_shots_persistence.save(_scheduled_shots) - - -async def load_scheduled_shots() -> dict: - """Load scheduled shots from persistence.""" - return await _scheduled_shots_persistence.load() - - -async def save_recurring_schedules(): - """Save recurring schedules to persistence.""" - await _recurring_schedules_persistence.save(_recurring_schedules) - - -async def load_recurring_schedules(): - """Load recurring schedules from persistence. - - Note: We use clear()/update() to mutate the existing dict in place, - ensuring any module that imported _recurring_schedules directly - will see the loaded data. - """ - loaded = await _recurring_schedules_persistence.load() - async with _get_state_lock(): - _recurring_schedules.clear() - _recurring_schedules.update(loaded) - - -async def restore_scheduled_shots(): - """Restore scheduled shots from disk on startup. - - Note: We use clear()/update() to mutate the existing dict in place, - ensuring any module that imported _scheduled_shots directly - will see the loaded data. - """ - loaded = await _scheduled_shots_persistence.load() - async with _get_state_lock(): - _scheduled_shots.clear() - _scheduled_shots.update(loaded) - - if _scheduled_shots: - logger.info( - f"Restored {len(_scheduled_shots)} scheduled shots from persistence" - ) - - -# ============================================================================== -# Schedule Timing Calculations -# ============================================================================== - - -def get_next_occurrence(schedule: dict) -> Optional[datetime]: - """Calculate the next occurrence of a recurring schedule. - - Args: - schedule: Recurring schedule dict with: - - time: HH:MM format - - recurrence_type: 'daily', 'weekdays', 'weekends', 'interval', 'specific_days' - - interval_days: For 'interval' type, number of days between runs - - days_of_week: For 'specific_days' type, list of day numbers (0=Monday) - - Returns: - Next datetime when the schedule should run, or None if invalid. - """ - MAX_SCHEDULING_DAYS = 400 # Maximum ~1 year ahead to search for next occurrence - - try: - time_str = schedule.get("time", "07:00") - hour, minute = map(int, time_str.split(":")) - recurrence_type = schedule.get("recurrence_type", "daily") - - now = datetime.now(timezone.utc) - today = now.date() - - # Start checking from today - candidate = datetime( - today.year, today.month, today.day, hour, minute, tzinfo=timezone.utc - ) - - # If today's time has passed, start from tomorrow - if candidate <= now: - candidate += timedelta(days=1) - - # Find the next valid day based on recurrence type - for _ in range(MAX_SCHEDULING_DAYS): - weekday = candidate.weekday() # 0=Monday, 6=Sunday - - if recurrence_type == "daily": - return candidate - elif recurrence_type == "weekdays" and weekday < 5: # Mon-Fri - return candidate - elif recurrence_type == "weekends" and weekday >= 5: # Sat-Sun - return candidate - elif recurrence_type == "interval": - interval_days = schedule.get("interval_days", 1) - # Check if this day is valid based on last_run - last_run = schedule.get("last_run") - if last_run: - try: - # Handle ISO format with trailing Z (replace with +00:00 for fromisoformat) - last_run_str = ( - last_run.replace("Z", "+00:00") - if isinstance(last_run, str) - else str(last_run) - ) - last_run_dt = datetime.fromisoformat(last_run_str) - days_since = (candidate - last_run_dt).days - if days_since >= interval_days: - return candidate - except (ValueError, AttributeError): - # Invalid datetime format - treat as no last run - logger.warning( - f"Invalid last_run format for schedule {schedule.get('id')}: {last_run}" - ) - return candidate - else: - # No last run, so this is the first run - return candidate - elif recurrence_type == "specific_days": - days_of_week = schedule.get("days_of_week", []) - if weekday in days_of_week: - return candidate - - # Move to next day - candidate += timedelta(days=1) - - return None - except Exception as e: - logger.error(f"Failed to calculate next occurrence: {e}") - return None diff --git a/apps/server/services/settings_service.py b/apps/server/services/settings_service.py deleted file mode 100644 index d8aba8bc..00000000 --- a/apps/server/services/settings_service.py +++ /dev/null @@ -1,72 +0,0 @@ -"""Settings service for managing application configuration.""" - -import json -from typing import Optional - -from config import DATA_DIR -from utils.file_utils import atomic_write_json - -SETTINGS_FILE = DATA_DIR / "settings.json" - -# In-memory cache (loaded from disk on first access, write-through on save) -_settings_cache: Optional[dict] = None - -_DEFAULT_SETTINGS = { - "geminiApiKey": "", - "geminiModel": "gemini-2.5-flash", - "meticulousIp": "", - "serverIp": "", - "authorName": "", - "mqttEnabled": True, - "tailscaleEnabled": False, - "tailscaleAuthKey": "", - "betaChannel": False, - "autoSync": False, - "autoSyncAiDescription": False, -} - - -def ensure_settings_file(): - """Ensure the settings file and directory exist.""" - SETTINGS_FILE.parent.mkdir(parents=True, exist_ok=True) - if not SETTINGS_FILE.exists(): - SETTINGS_FILE.write_text(json.dumps(_DEFAULT_SETTINGS, indent=2)) - - -def load_settings() -> dict: - """Load settings, using in-memory copy when available. - - Validates that the on-disk data is a dict and merges with defaults - so missing keys always have a safe fallback value. - """ - global _settings_cache - if _settings_cache is not None: - return _settings_cache - ensure_settings_file() - try: - with open(SETTINGS_FILE, "r", encoding="utf-8") as f: - data = json.load(f) - except (json.JSONDecodeError, FileNotFoundError): - data = None - - if not isinstance(data, dict): - data = {} - - # Merge with defaults so missing keys always have a safe value - _settings_cache = {**_DEFAULT_SETTINGS, **data} - return _settings_cache - - -def save_settings(settings: dict): - """Write-through: update in-memory cache and persist to disk.""" - global _settings_cache - _settings_cache = settings - ensure_settings_file() - atomic_write_json(SETTINGS_FILE, settings) - - -def get_author_name() -> str: - """Get the configured author name, defaulting to 'Metic' if not set.""" - settings = load_settings() - author = settings.get("authorName", "").strip() - return author if author else "Metic" diff --git a/apps/server/services/shot_annotations_service.py b/apps/server/services/shot_annotations_service.py deleted file mode 100644 index 45614635..00000000 --- a/apps/server/services/shot_annotations_service.py +++ /dev/null @@ -1,240 +0,0 @@ -"""Shot annotations service for user notes on shot data. - -Stores user-provided annotations (markdown text and star ratings) for shots, -keyed by {date}/{filename} to match the machine's shot storage structure. - -Storage format: JSON object mapping shot keys to annotation objects: -{ - "2024-01-15/shot_001.json": { - "annotation": "Great flow, but extraction was slightly fast...", - "rating": 4, - "updated_at": "2024-01-15T10:30:00Z" - } -} -""" - -import json -import threading -from datetime import datetime, timezone -from typing import Optional - -from logging_config import get_logger -from config import DATA_DIR -from utils.file_utils import atomic_write_json - -logger = get_logger() - -ANNOTATIONS_FILE = DATA_DIR / "shot_annotations.json" - -# In-memory cache -_annotations_cache: Optional[dict] = None - -# Lock to prevent concurrent read/modify/write races -_annotations_lock = threading.Lock() - - -def _ensure_file(): - """Ensure the annotations file and directory exist.""" - ANNOTATIONS_FILE.parent.mkdir(parents=True, exist_ok=True) - if not ANNOTATIONS_FILE.exists(): - ANNOTATIONS_FILE.write_text("{}") - - -def _load_annotations() -> dict: - """Load annotations from disk, caching in memory.""" - global _annotations_cache - if _annotations_cache is not None: - return _annotations_cache - - _ensure_file() - try: - with open(ANNOTATIONS_FILE, "r", encoding="utf-8") as f: - data = json.load(f) - except (json.JSONDecodeError, FileNotFoundError): - data = {} - - if not isinstance(data, dict): - logger.warning("Annotations file contained non-dict — resetting") - data = {} - - _annotations_cache = data - return _annotations_cache - - -def _save_annotations(data: dict) -> None: - """Save annotations to disk and update cache.""" - global _annotations_cache - _ensure_file() - atomic_write_json(ANNOTATIONS_FILE, data) - _annotations_cache = data - - -def make_shot_key(date: str, filename: str) -> str: - """Create a unique key for a shot from date and filename.""" - return f"{date}/{filename}" - - -def _validate_rating(rating) -> Optional[int]: - """Validate and normalise a rating value. - - Returns an int 1-5 or None. Raises ValueError for out-of-range values. - """ - if rating is None: - return None - try: - rating = int(rating) - except (TypeError, ValueError): - raise ValueError("Rating must be an integer between 1 and 5") - if rating < 1 or rating > 5: - raise ValueError("Rating must be between 1 and 5") - return rating - - -def get_annotation(date: str, filename: str) -> Optional[dict]: - """Get the full annotation entry for a specific shot. - - Args: - date: Shot date (e.g., "2024-01-15") - filename: Shot filename (e.g., "shot_001.json") - - Returns: - Dict with annotation text, rating, and updated_at if exists, None otherwise. - """ - annotations = _load_annotations() - key = make_shot_key(date, filename) - entry = annotations.get(key) - if entry and isinstance(entry, dict): - return { - "annotation": entry.get("annotation"), - "rating": entry.get("rating"), - "updated_at": entry.get("updated_at"), - } - return None - - -def set_annotation(date: str, filename: str, annotation: str, rating=None) -> dict: - """Set the annotation for a specific shot. - - Args: - date: Shot date - filename: Shot filename - annotation: Markdown annotation text (empty string to clear text) - rating: Star rating 1-5, or None to leave unchanged / clear - - Returns: - Updated annotation entry. - """ - validated_rating = _validate_rating(rating) - with _annotations_lock: - annotations = _load_annotations() - key = make_shot_key(date, filename) - - has_text = annotation and annotation.strip() - existing = ( - annotations.get(key, {}) if isinstance(annotations.get(key), dict) else {} - ) - - # Merge: keep existing rating if caller didn't provide one - new_annotation = annotation.strip() if has_text else None - new_rating = validated_rating if rating is not None else existing.get("rating") - - if not new_annotation and not new_rating: - # Nothing left — remove entry entirely - if key in annotations: - del annotations[key] - _save_annotations(annotations) - return {"annotation": None, "rating": None} - - entry = { - "annotation": new_annotation, - "rating": new_rating, - "updated_at": datetime.now(timezone.utc).isoformat(), - } - annotations[key] = entry - _save_annotations(annotations) - - logger.info(f"Saved annotation for shot {key}") - return entry - - -def set_rating(date: str, filename: str, rating) -> dict: - """Set only the star rating for a shot, preserving existing annotation text. - - Args: - date: Shot date - filename: Shot filename - rating: Star rating 1-5, or None to clear rating - - Returns: - Updated annotation entry. - """ - validated_rating = _validate_rating(rating) - with _annotations_lock: - annotations = _load_annotations() - key = make_shot_key(date, filename) - existing = ( - annotations.get(key, {}) if isinstance(annotations.get(key), dict) else {} - ) - - existing_text = existing.get("annotation") - - if not existing_text and not validated_rating: - # Nothing left — remove entry entirely - if key in annotations: - del annotations[key] - _save_annotations(annotations) - return {"annotation": None, "rating": None} - - entry = { - "annotation": existing_text, - "rating": validated_rating, - "updated_at": datetime.now(timezone.utc).isoformat(), - } - annotations[key] = entry - _save_annotations(annotations) - - logger.info(f"Saved rating for shot {key}") - return entry - - -def delete_annotation(date: str, filename: str) -> bool: - """Delete the entire annotation entry for a shot. - - Args: - date: Shot date - filename: Shot filename - - Returns: - True if an annotation was deleted, False if none existed. - """ - with _annotations_lock: - annotations = _load_annotations() - key = make_shot_key(date, filename) - if key in annotations: - del annotations[key] - _save_annotations(annotations) - logger.info(f"Deleted annotation for shot {key}") - return True - return False - - -def get_all_annotations() -> dict: - """Get all shot annotations. - - Returns: - Dict mapping shot keys to annotation entries. - """ - return _load_annotations().copy() - - -def has_annotation(date: str, filename: str) -> bool: - """Check whether a shot has any annotation (text or rating).""" - annotations = _load_annotations() - key = make_shot_key(date, filename) - return key in annotations - - -def invalidate_cache() -> None: - """Clear the in-memory cache (for testing).""" - global _annotations_cache - _annotations_cache = None diff --git a/apps/server/services/shot_facts.py b/apps/server/services/shot_facts.py deleted file mode 100644 index 3f9188a0..00000000 --- a/apps/server/services/shot_facts.py +++ /dev/null @@ -1,407 +0,0 @@ -"""Deterministic shot-fact derivation (#423 + diagnostic signals). - -Pure functions: telemetry + profile + local analysis -> typed facts. No I/O, no LLM. -Mirrors apps/web/src/lib/shotFacts.ts — keep thresholds identical across runtimes. -""" - -from __future__ import annotations - - -def classify_trigger( - stage_control_mode: str, - trigger_type: str, - total_triggers: int, - *, - trigger_value: float | None = None, - global_target_weight: float | None = None, - on_target: bool | None = None, - is_terminal_stage: bool = False, - weight_on_target: bool | None = None, -) -> dict: - """Classify a stage's exit trigger as Targeted vs Failsafe (#423). - - Args: - stage_control_mode: the variable the stage effectively controls - ('pressure' | 'flow' | 'power' | other) — pass the *effective* mode. - trigger_type: the exit trigger that fired ('weight' | 'time' | 'pressure' | 'flow'). - total_triggers: number of exit triggers defined on the stage. - trigger_value: resolved value of the fired trigger (for weight triggers, - enables the final-yield vs stage-milestone distinction). - global_target_weight: the shot's final target weight (grams). - on_target: whether the stage tracked its intended target band. Only - meaningful for a weight-terminated pressure-governed stage: False - flags puck failure (yield reached off-curve). None = unknown. - - Returns: - {'kind': 'targeted'|'failsafe'|'unknown', 'label': str, 'reason': str} - """ - if not trigger_type: - # No exit trigger fired. A stage with no exit triggers defined - # transitions on its planned dynamics duration (intermediate stage) or - # ends when the shot reaches its global target weight (final stage) — - # both are intentional. - if total_triggers == 0: - if is_terminal_stage: - if weight_on_target: - return { - "kind": "targeted", - "label": "Targeted (yield reached)", - "reason": "The final stage ended when the shot reached its target weight.", - } - return { - "kind": "unknown", - "label": "Unknown", - "reason": "The final stage has no exit trigger and the shot did not reach its target weight (likely a manual stop).", - } - return { - "kind": "targeted", - "label": "Targeted (planned transition)", - "reason": "The stage has no exit trigger; it transitions to the next stage on its planned dynamics duration.", - } - # Exit triggers were defined but none of them fired. - return { - "kind": "unknown", - "label": "Unknown", - "reason": "The stage defined exit triggers but none of them fired.", - } - if trigger_type == "weight": - near_final = ( - global_target_weight is not None - and global_target_weight > 0 - and trigger_value is not None - and trigger_value >= global_target_weight * (1 - YIELD_THRESHOLD) - ) - if near_final and on_target is False: - return { - "kind": "failsafe", - "label": "Failsafe (puck failure — yield hit off-target)", - "reason": ( - "The final weight target was reached, but the stage never " - "built its intended pressure, so the yield came from an " - "uncontrolled extraction (likely channeling or a failed puck)." - ), - } - if ( - not near_final - and trigger_value is not None - and global_target_weight is not None - and global_target_weight > 0 - ): - return { - "kind": "targeted", - "label": "Targeted (stage yield / first-drip check)", - "reason": "Stage exited on an intermediate weight milestone below the final target.", - } - return { - "kind": "targeted", - "label": "Targeted (yield reached)", - "reason": "Weight is the ultimate goal of the shot.", - } - if trigger_type == "time": - if total_triggers == 1: - return { - "kind": "targeted", - "label": "Targeted (planned duration)", - "reason": "Time is the only trigger, so this is an intentional timed stage.", - } - return { - "kind": "targeted", - "label": "Targeted (timed transition)", - "reason": ( - "The stage transitioned when its planned time elapsed; the other " - "exit conditions simply did not fire first. A time exit is a valid, " - "intended transition — a genuine timeout with no extraction is " - "surfaced separately as a stall." - ), - } - if stage_control_mode in ("flow", "power") and trigger_type == "pressure": - return { - "kind": "targeted", - "label": "Targeted (puck resistance achieved)", - "reason": "Flow-controlled stage reached its intended pressure.", - } - if stage_control_mode in ("flow", "power") and trigger_type == "flow": - return { - "kind": "targeted", - "label": "Targeted (flow target reached)", - "reason": "Flow-controlled stage reached its intended flow condition.", - } - if stage_control_mode == "pressure" and trigger_type == "flow": - if total_triggers == 1: - return { - "kind": "targeted", - "label": "Targeted (planned flow transition)", - "reason": "Flow is the only trigger, so the transition is intentional.", - } - return { - "kind": "failsafe", - "label": "Failsafe (caught channeling or choking)", - "reason": "Pressure-controlled stage exited on a flow backstop.", - } - if stage_control_mode == "pressure" and trigger_type == "pressure": - return { - "kind": "targeted", - "label": "Targeted (pressure threshold reached)", - "reason": "Pressure-controlled stage reached its target pressure.", - } - return { - "kind": "unknown", - "label": "Unknown", - "reason": "Trigger/control-mode combination is not classified.", - } - - -# Threshold constants — keep identical to apps/web/src/lib/shotFacts.ts -STALL_MIN_WEIGHT_GAIN_G = 0.5 # below this on a time-failsafe = stalled -CHANNELING_PRESSURE_DROP_BAR = 1.5 # pressure fall within a stage -CHANNELING_FLOW_RISE_MLS = 1.5 # simultaneous flow rise -# #423 effective-mode thresholds (from the superseding issue comment): -# flow target ≥ MIN + pressure limit ⇒ pressure control -EFFECTIVE_FLOW_TARGET_MIN = 6.0 -# pressure stage + flow limit ≤ MAX ⇒ flow control -EFFECTIVE_FLOW_LIMIT_MAX = 3.0 -# #423 puck-failure detection thresholds: -# a weight trigger within YIELD_THRESHOLD of the global target = a final-yield stage -YIELD_THRESHOLD = 0.10 -# peak pressure must reach (1 - TOLERANCE_THRESHOLD)×target to count as "on-target" -TOLERANCE_THRESHOLD = 0.20 - - -def _stage_control_mode(stage: dict) -> str: - """Best-effort: which variable the stage nominally controls (declared type).""" - t = (stage.get("stage_type") or stage.get("type") or "").lower() - if "flow" in t: - return "flow" - if "pressure" in t: - return "pressure" - if "power" in t: - return "power" - return "unknown" - - -def _limit_value(stage: dict, limit_type: str) -> float | None: - """Resolved numeric value of a stage limit by type, or None if absent.""" - for lim in stage.get("limits") or []: - if lim.get("type") == limit_type: - try: - return float(lim.get("value")) - except (TypeError, ValueError): - return None - return None - - -def effective_control_mode(stage: dict) -> str: - """Determine a stage's *effective* control mode, correcting for #423 cases - where the declared type does not reflect the true intent. - - Overrides (from the superseding #423 comment): - 1. Aggressive flow (peak target ≥ 6 ml/s) with a pressure limit ⇒ the - pressure limit governs, so the stage is effectively pressure-controlled. - 2. A pressure stage with a highly restricted flow limit (≤ 3 ml/s) can't - build pressure, so it is effectively flow-controlled. - 3. Power stages are raw mechanical drive. - - Falls back to the declared control mode when no override applies. - """ - declared = _stage_control_mode(stage) - if declared == "power": - return "power" - max_target = stage.get("profile_max_target") - pressure_limit = _limit_value(stage, "pressure") - flow_limit = _limit_value(stage, "flow") - if ( - declared == "flow" - and isinstance(max_target, (int, float)) - and max_target >= EFFECTIVE_FLOW_TARGET_MIN - and pressure_limit is not None - ): - return "pressure" - if ( - declared == "pressure" - and flow_limit is not None - and flow_limit <= EFFECTIVE_FLOW_LIMIT_MAX - ): - return "flow" - return declared - - -def _yield_stage_on_target(stage: dict, effective_mode: str) -> bool | None: - """Whether a pressure-governed stage actually built its intended pressure (#423). - - Puck failure is only reliably detectable on pressure-governed extraction: if - the puck channels or collapses, pressure never reaches the intended band even - though weight still accrues. For flow-governed / power / target-less stages we - return None (can't prove failure — a volumetric shot hitting weight is normal). - """ - if effective_mode != "pressure": - return None - target = _limit_value(stage, "pressure") - if target is None and _stage_control_mode(stage) == "pressure": - target = stage.get("profile_target_value") - if not target: - return None - ed = stage.get("execution_data") or {} - max_pressure = ed.get("max_pressure") - if max_pressure is None: - return None - return float(max_pressure) >= (1 - TOLERANCE_THRESHOLD) * float(target) - - -def detect_stall(stage: dict) -> dict: - """A stage stalled if it timed out with another unmet target and negligible gain. - - A stall is a time-terminated stage that *had* another exit target it failed to - reach (total_triggers > 1) yet extracted almost nothing — i.e. the time trigger - acted as a backstop for a target that was never met. Purely timed stages - (total_triggers == 1, e.g. pre-infusion) are intentional and never stalled. - """ - result = stage.get("exit_trigger_result") or {} - triggered = result.get("triggered") or {} - trig_type = triggered.get("type", "") - total = len(stage.get("exit_triggers") or []) - ed = stage.get("execution_data") or {} - gain = float(ed.get("weight_gain", 0) or 0) - stalled = trig_type == "time" and total > 1 and gain < STALL_MIN_WEIGHT_GAIN_G - return {"stalled": stalled, "weight_gain": round(gain, 2)} - - -def detect_channeling(execution_data: dict) -> dict: - """Flag likely channeling: pressure falls while flow rises within the stage.""" - ed = execution_data or {} - p_drop = float(ed.get("start_pressure", 0) or 0) - float( - ed.get("end_pressure", 0) or 0 - ) - f_rise = float(ed.get("end_flow", 0) or 0) - float(ed.get("start_flow", 0) or 0) - channeling = ( - p_drop >= CHANNELING_PRESSURE_DROP_BAR and f_rise >= CHANNELING_FLOW_RISE_MLS - ) - return { - "channeling": channeling, - "pressure_drop": round(p_drop, 2), - "flow_rise": round(f_rise, 2), - } - - -def _build_phases(local_analysis: dict) -> list[dict]: - """Group stages into pre-infusion / ramp / peak / decline by avg pressure shape.""" - stages = [ - s for s in local_analysis.get("stage_analyses", []) if s.get("execution_data") - ] - phases: list[dict] = [] - for s in stages: - ed = s["execution_data"] - avg_p = float(ed.get("avg_pressure", 0) or 0) - if avg_p < 3.0: - phase = "pre-infusion" - elif float(ed.get("end_pressure", 0) or 0) > float( - ed.get("start_pressure", 0) or 0 - ): - phase = "ramp" - elif float(ed.get("end_pressure", 0) or 0) < float( - ed.get("start_pressure", 0) or 0 - ): - phase = "decline" - else: - phase = "peak" - phases.append( - { - "stage_name": s.get("stage_name"), - "phase": phase, - "avg_pressure": ed.get("avg_pressure"), - "avg_flow": ed.get("avg_flow"), - "weight_gain": ed.get("weight_gain"), - } - ) - return phases - - -def _curve_adherence(stage: dict) -> dict | None: - """Compare measured avg vs the stage's mean target setpoint, if numeric. - - The numeric target is precomputed at stage-build time as - ``profile_target_value`` (mean of the resolved dynamics setpoints); see - analysis_service._mean_dynamics_target and its native mirror - DirectModeInterceptor.meanDynamicsTarget. - """ - target = stage.get("profile_target_value") - ed = stage.get("execution_data") or {} - if target is None: - return None - mode = _stage_control_mode(stage) - measured = ed.get("avg_pressure") if mode == "pressure" else ed.get("avg_flow") - if measured is None: - return None - return { - "target": round(float(target), 2), - "measured": measured, - "delta": round(float(measured) - float(target), 2), - } - - -def build_shot_facts(local_analysis: dict) -> dict: - """Assemble the deterministic ShotFacts object consumed by the static view, the - LLM fact sheet, and the validator. Mirrors buildShotFacts() in shotFacts.ts.""" - stages_out: list[dict] = [] - wa = local_analysis.get("weight_analysis", {}) - global_target_weight = wa.get("target") - actual_weight = wa.get("actual") - weight_on_target = ( - actual_weight >= global_target_weight * (1 - YIELD_THRESHOLD) - if actual_weight is not None - and global_target_weight is not None - and global_target_weight > 0 - else None - ) - all_stages = local_analysis.get("stage_analyses", []) - last_executed_idx = -1 - for i, s in enumerate(all_stages): - if s.get("execution_data"): - last_executed_idx = i - for i, s in enumerate(all_stages): - ed = s.get("execution_data") - if not ed: - stages_out.append({"stage_name": s.get("stage_name"), "reached": False}) - continue - triggered = (s.get("exit_trigger_result") or {}).get("triggered") or {} - trig_type = triggered.get("type", "") - trig_value = triggered.get("target") - total = len(s.get("exit_triggers") or []) - declared_mode = _stage_control_mode(s) - effective_mode = effective_control_mode(s) - on_target = _yield_stage_on_target(s, effective_mode) - stages_out.append( - { - "stage_name": s.get("stage_name"), - "reached": True, - "control_mode": effective_mode, - "declared_mode": declared_mode, - "mode_overridden": effective_mode != declared_mode, - "trigger_type": trig_type, - "trigger_class": classify_trigger( - effective_mode, - trig_type, - total, - trigger_value=trig_value, - global_target_weight=global_target_weight, - on_target=on_target, - is_terminal_stage=(i == last_executed_idx), - weight_on_target=weight_on_target, - ), - "stall": detect_stall(s), - "channeling": detect_channeling(ed), - "curve_adherence": _curve_adherence(s), - } - ) - return { - "stages": stages_out, - "phases": _build_phases(local_analysis), - "weight": { - "actual": wa.get("actual"), - "target": wa.get("target"), - "deviation_pct": wa.get("deviation_percent"), - }, - "total_time_s": ( - local_analysis.get("overall_metrics", {}).get("total_time") - or local_analysis.get("shot_summary", {}).get("total_time") - ), - } diff --git a/apps/server/services/temp_profile_service.py b/apps/server/services/temp_profile_service.py deleted file mode 100644 index 70701e6a..00000000 --- a/apps/server/services/temp_profile_service.py +++ /dev/null @@ -1,471 +0,0 @@ -"""Temporary profile lifecycle management. - -Provides a reusable service that creates short-lived profiles on the -Meticulous machine, loads them for execution, then cleans them up -(purge + delete) once the shot finishes or is aborted. - -The service is generic — pour-over, recipes, or any future feature can -use the same create → load → brew → cleanup lifecycle. - -Temp profiles are identified by well-known names (e.g. -``MeticAI Ratio Pour-Over``) so stale orphans can be detected and -removed on startup. -""" - -import asyncio -import copy -import logging -from dataclasses import dataclass, field -from typing import Any, Dict, Optional - -from services.meticulous_service import ( - async_create_profile, - async_delete_profile, - async_list_profiles, - async_load_profile_by_id, - async_load_profile_from_json, - MachineUnreachableError, -) - -logger = logging.getLogger(__name__) - -# Well-known temporary profile names created by features like pour-over. -# Used by cleanup_stale() to remove orphans on startup. -TEMP_PROFILE_NAMES = frozenset({"MeticAI Ratio Pour-Over"}) - -# Prefixes for temporary profile names (e.g. recipe profiles, override profiles). -TEMP_PROFILE_PREFIXES = frozenset({"MeticAI Recipe: ", "MeticAI Override: "}) - - -def is_temp_profile(name: str) -> bool: - """Return True if *name* belongs to a MeticAI temporary profile.""" - return name in TEMP_PROFILE_NAMES or any( - name.startswith(prefix) for prefix in TEMP_PROFILE_PREFIXES - ) - - -# Async lock guarding _active state to prevent interleaved mutations -# from concurrent calls to create_and_load / cleanup / force_cleanup. -_lock: asyncio.Lock | None = None - - -def _get_lock() -> asyncio.Lock: - """Lazy-initialise the lock to avoid cross-event-loop issues in tests.""" - global _lock - if _lock is None: - _lock = asyncio.Lock() - return _lock - - -def _reset_lock() -> None: - """Reset the lock (for tests that run in different event loops).""" - global _lock - _lock = None - - -@dataclass -class ActiveTempProfile: - """Metadata about the currently-active temporary profile.""" - - profile_id: str - profile_name: str - original_params: Dict[str, Any] = field(default_factory=dict) - previous_profile_id: Optional[str] = None - previous_profile_name: Optional[str] = None - ephemeral: bool = False - - -# Module-level singleton state -_active: Optional[ActiveTempProfile] = None - - -def _set_active(profile: Optional[ActiveTempProfile]) -> None: - global _active - _active = profile - - -def get_active() -> Optional[Dict[str, Any]]: - """Return the active temp profile metadata, or None.""" - if _active is None: - return None - return { - "profile_id": _active.profile_id, - "profile_name": _active.profile_name, - "original_params": _active.original_params, - } - - -# Variable types recognised by the Meticulous profile format. -VARIABLE_TYPES = frozenset( - { - "pressure", - "flow", - "weight", - "power", - "time", - "piston_position", - "temperature", - } -) - - -def apply_variable_overrides( - profile_data: Dict[str, Any], - overrides: Dict[str, Any], -) -> Dict[str, Any]: - """Apply variable value overrides to a deep-copied profile. - - Only adjustable variables (key does NOT start with ``info_``) can be - overridden. Unknown keys or ``info_`` keys are silently skipped so - callers don't need to pre-filter. - - When overriding synthesised top-level keys (``final_weight``, - ``temperature``) the corresponding top-level profile field is also - updated so that the Meticulous machine receives the correct value - regardless of whether it reads from ``variables`` or the top-level. - - Returns a new profile dict — the original is not mutated. - """ - profile = copy.deepcopy(profile_data) - variables = profile.get("variables") - - # Top-level keys that may be synthesised as variables - TOP_LEVEL_KEYS = {"final_weight", "temperature"} - - if not overrides: - return profile - - applied: dict[str, Any] = {} - - # Apply overrides to the variables array if present - if variables: - adjustable_keys: set[str] = set() - for var in variables: - key = var.get("key", "") - if key and not key.startswith("info_"): - adjustable_keys.add(key) - - for key, value in overrides.items(): - if key not in adjustable_keys: - if key not in TOP_LEVEL_KEYS: - logger.debug("Skipping override for non-adjustable key: %s", key) - continue - for var in variables: - if var.get("key") == key: - var["value"] = value - applied[key] = value - break - - # Always apply top-level key overrides directly on the profile dict - for key in TOP_LEVEL_KEYS: - if key in overrides: - profile[key] = overrides[key] - if key not in applied: - applied[key] = overrides[key] - - if applied: - logger.info("Applied %d variable override(s): %s", len(applied), list(applied)) - return profile - - -async def create_and_load( - profile_json: Dict[str, Any], - params: Optional[Dict[str, Any]] = None, - previous_profile_id: Optional[str] = None, - previous_profile_name: Optional[str] = None, -) -> Dict[str, Any]: - """Create a temporary profile on the machine, load it, and track it. - - The profile name is taken from ``profile_json["name"]`` (or defaults to - ``"Temp Profile"``). Callers should use a well-known temporary profile - name (see ``TEMP_PROFILE_NAMES``) so the profile can be identified for - cleanup. If a temp profile is already active it is force-cleaned first. - - Args: - profile_json: Full profile JSON including the desired temp profile name. - params: Optional dict of original user parameters for bookkeeping. - previous_profile_id: ID of the profile to restore after cleanup. - previous_profile_name: Name of the profile to restore after cleanup. - - Returns: - Dict with ``profile_id`` and ``profile_name`` of the created profile. - - Raises: - MachineUnreachableError: If the machine cannot be reached. - HTTPException: If profile creation or loading fails. - """ - async with _get_lock(): - return await _create_and_load_locked( - profile_json, params, previous_profile_id, previous_profile_name - ) - - -async def _create_and_load_locked( - profile_json: Dict[str, Any], - params: Optional[Dict[str, Any]] = None, - previous_profile_id: Optional[str] = None, - previous_profile_name: Optional[str] = None, -) -> Dict[str, Any]: - """Inner implementation of create_and_load, called under lock.""" - # Force-cleanup any lingering temp profile (without restoring — we're about - # to load a new temp profile, so we inherit the tracked previous profile) - if _active is not None: - logger.warning("Replacing already-active temp profile %s", _active.profile_name) - # Inherit the previous profile from the one being replaced so we can - # still restore the original profile when the new temp finishes. - if previous_profile_id is None: - previous_profile_id = _active.previous_profile_id - previous_profile_name = _active.previous_profile_name - await _force_cleanup_inner(restore=False) - - name = profile_json.get("name", "Temp Profile") - - # Delete any pre-existing profile with the same name to avoid duplicates - try: - profiles = await async_list_profiles() - if profiles and not isinstance(profiles, dict): - for p in profiles: - p_name = getattr(p, "name", None) or "" - if p_name == name: - p_id = getattr(p, "id", None) - if p_id: - await async_delete_profile(p_id) - logger.info( - "Deleted pre-existing profile '%s' (%s)", p_name, p_id - ) - except Exception as exc: - logger.warning("Failed to scan for duplicate profiles: %s", exc) - - # Create on machine - result = await async_create_profile(profile_json) - - # The machine returns the saved profile with its assigned ID. - profile_id = result.get("id") or profile_json.get("id") - if not profile_id: - logger.error("Machine did not return a profile ID after creation") - raise RuntimeError("Machine did not return a profile ID after creation") - - # Load the profile on the machine (makes it the active/selected profile) - await async_load_profile_by_id(profile_id) - - _set_active( - ActiveTempProfile( - profile_id=profile_id, - profile_name=name, - original_params=params or {}, - previous_profile_id=previous_profile_id, - previous_profile_name=previous_profile_name, - ) - ) - - logger.info("Temp profile created and loaded: %s (%s)", name, profile_id) - return {"profile_id": profile_id, "profile_name": name} - - -async def load_ephemeral( - profile_json: Dict[str, Any], - params: Optional[Dict[str, Any]] = None, - previous_profile_id: Optional[str] = None, - previous_profile_name: Optional[str] = None, -) -> Dict[str, Any]: - """Load a profile into the machine's memory without persisting. - - Uses ``POST /api/v1/profile/load`` to make the profile the active - selection for the next shot. Nothing is saved to the machine's - catalogue, so there is nothing to delete during cleanup — only - the previous profile needs to be restored. - - Args: - profile_json: Full profile JSON (will be normalised before sending). - params: Optional bookkeeping dict (stored in active state). - previous_profile_id: ID of the profile to restore after cleanup. - previous_profile_name: Name of the profile to restore after cleanup. - - Returns: - Dict with ``profile_id`` and ``profile_name``. - """ - async with _get_lock(): - # Force-cleanup any lingering temp profile - if _active is not None: - logger.warning( - "Replacing already-active temp profile %s", _active.profile_name - ) - if previous_profile_id is None: - previous_profile_id = _active.previous_profile_id - previous_profile_name = _active.previous_profile_name - await _force_cleanup_inner(restore=False) - - name = profile_json.get("name", "Ephemeral Profile") - profile_id = profile_json.get("id", "ephemeral") - - # Ephemeral load — the profile is NOT saved to the catalogue - await async_load_profile_from_json(profile_json) - - _set_active( - ActiveTempProfile( - profile_id=profile_id, - profile_name=name, - original_params=params or {}, - previous_profile_id=previous_profile_id, - previous_profile_name=previous_profile_name, - ephemeral=True, - ) - ) - - logger.info("Ephemeral profile loaded: %s (%s)", name, profile_id) - return {"profile_id": profile_id, "profile_name": name} - - -async def cleanup() -> Dict[str, str]: - """Run a purge cycle and clean up the active temp profile. - - For ephemeral profiles (loaded via ``load_ephemeral``), no delete is - needed — the profile was never saved to the catalogue. For persisted - temp profiles (created via ``create_and_load``), the profile is deleted. - - In both cases the previously-active profile is restored. - - Returns: - Dict with ``status`` key. - """ - async with _get_lock(): - if _active is None: - return {"status": "no_active_profile"} - - profile_id = _active.profile_id - profile_name = _active.profile_name - previous_profile_name = _active.previous_profile_name - is_ephemeral = _active.ephemeral - _set_active(None) - - # Purge first (flush water) - try: - from api.routes.commands import _do_publish, _get_snapshot - - snapshot = _get_snapshot() - if not snapshot.get("brewing"): - _do_publish("purge") - except Exception as exc: - logger.warning("Purge before cleanup failed (non-fatal): %s", exc) - - # Only delete from catalogue if the profile was persisted - if not is_ephemeral: - try: - await async_delete_profile(profile_id) - logger.info("Temp profile deleted: %s (%s)", profile_name, profile_id) - except Exception as exc: - logger.error("Failed to delete temp profile %s: %s", profile_id, exc) - return {"status": "delete_failed", "error": str(exc)} - else: - logger.info( - "Ephemeral profile cleaned up (no delete needed): %s", profile_name - ) - - # Restore the previously-active profile, or deselect if none tracked - try: - from api.routes.commands import _do_publish - - _do_publish("select_profile", previous_profile_name or "") - if previous_profile_name: - logger.info("Restored previous profile: %s", previous_profile_name) - else: - logger.info("No previous profile — sent deselect after cleanup") - except Exception as exc: - logger.warning("Failed to restore/deselect profile after cleanup: %s", exc) - - return {"status": "cleaned_up", "deleted_profile": profile_name} - - -async def force_cleanup() -> Dict[str, str]: - """Delete the temp profile without purging (for aborted shots). - - Returns: - Dict with ``status`` key. - """ - async with _get_lock(): - return await _force_cleanup_inner(restore=True) - - -async def _force_cleanup_inner(restore: bool = True) -> Dict[str, str]: - """Inner force-cleanup logic, must be called under ``_get_lock()``.""" - global _active - if _active is None: - return {"status": "no_active_profile"} - - profile_id = _active.profile_id - profile_name = _active.profile_name - previous_profile_name = _active.previous_profile_name if restore else None - is_ephemeral = _active.ephemeral - _set_active(None) - - # Only delete from catalogue if the profile was persisted - if not is_ephemeral: - try: - await async_delete_profile(profile_id) - logger.info("Temp profile force-deleted: %s (%s)", profile_name, profile_id) - except Exception as exc: - logger.error("Failed to force-delete temp profile %s: %s", profile_id, exc) - return {"status": "delete_failed", "error": str(exc)} - else: - logger.info( - "Ephemeral profile force-cleaned (no delete needed): %s", profile_name - ) - - # Restore the previously-active profile, or deselect if none tracked - if restore: - try: - from api.routes.commands import _do_publish - - _do_publish("select_profile", previous_profile_name or "") - if previous_profile_name: - logger.info("Restored previous profile: %s", previous_profile_name) - else: - logger.info("No previous profile — sent deselect after force-cleanup") - except Exception as exc: - logger.warning( - "Failed to restore/deselect profile after force-cleanup: %s", exc - ) - - return {"status": "force_cleaned_up", "deleted_profile": profile_name} - - -async def cleanup_stale() -> Dict[str, Any]: - """Scan for orphaned ``[Temp] `` profiles on the machine and delete them. - - Called at startup to remove leftovers from crashed sessions. - - Returns: - Dict with count of deleted profiles and any errors. - """ - deleted = [] - errors = [] - - try: - profiles = await async_list_profiles() - if not profiles or isinstance(profiles, dict): - return {"deleted": 0, "errors": []} - - for profile in profiles: - name = getattr(profile, "name", None) or "" - profile_id = getattr(profile, "id", None) - if is_temp_profile(name) and profile_id: - try: - await async_delete_profile(profile_id) - deleted.append(name) - logger.info("Cleaned stale temp profile: %s (%s)", name, profile_id) - except Exception as exc: - errors.append({"name": name, "error": str(exc)}) - logger.warning( - "Failed to clean stale temp profile %s: %s", name, exc - ) - except MachineUnreachableError: - logger.info("Machine not reachable — skipping stale temp profile cleanup") - return {"deleted": 0, "errors": [], "skipped": "machine_unreachable"} - except Exception as exc: - logger.warning("Failed to scan for stale temp profiles: %s", exc) - return {"deleted": 0, "errors": [str(exc)]} - - if deleted: - logger.info("Cleaned %d stale temp profile(s): %s", len(deleted), deleted) - - return {"deleted": len(deleted), "deleted_names": deleted, "errors": errors} diff --git a/apps/server/services/validation_service.py b/apps/server/services/validation_service.py deleted file mode 100644 index 731ddb49..00000000 --- a/apps/server/services/validation_service.py +++ /dev/null @@ -1,270 +0,0 @@ -"""Profile validation service for server-side OEPF pre-validation. - -Provides lightweight profile validation before uploading to the Meticulous machine. -Uses the ProfileValidator from the MCP server when the JSON schema is available, -and falls back to basic structural validation otherwise. -""" - -import os -import sys -from typing import Any, Dict, List, Optional, Tuple - -from logging_config import get_logger - -logger = get_logger() - -# Try to import the full ProfileValidator from MCP server -_FULL_VALIDATOR_AVAILABLE = False -_ProfileValidator = None - -try: - # Add MCP server paths - try Docker layout first, then local dev - _mcp_paths = [ - "/app/mcp-server/meticulous-mcp/src", # Docker container layout - os.path.join( - os.path.dirname(__file__), "..", "..", "mcp-server", "meticulous-mcp", "src" - ), # Local dev: apps/server/services -> apps/mcp-server - ] - for _mcp_src in _mcp_paths: - if os.path.isdir(_mcp_src) and _mcp_src not in sys.path: - sys.path.insert(0, _mcp_src) - break - - from meticulous_mcp.profile_validator import ( # type: ignore[import-untyped] - ProfileValidator as _PV, - ) - - _ProfileValidator = _PV - _FULL_VALIDATOR_AVAILABLE = True - logger.debug("Full OEPF ProfileValidator loaded from MCP server") -except Exception as e: - logger.debug(f"Full ProfileValidator not available ({e}), using basic validation") - - -# Schema search paths (Docker and local dev) -_SCHEMA_PATHS = [ - "/app/espresso-profile-schema/schema.json", - os.path.join(os.path.dirname(__file__), "..", "..", "..", "data", "schema.json"), - os.path.join( - os.path.dirname(__file__), - "..", - "..", - "mcp-server", - "meticulous-mcp", - "espresso-profile-schema", - "schema.json", - ), -] - - -class ValidationResult: - """Result of profile validation.""" - - def __init__(self, is_valid: bool, errors: Optional[List[str]] = None): - self.is_valid = is_valid - self.errors = errors or [] - - def error_summary(self) -> str: - """Return a concise summary of validation errors for LLM retry prompts.""" - if not self.errors: - return "" - lines = [f"{i}. {e}" for i, e in enumerate(self.errors, 1)] - return "\n".join(lines) - - -def _find_schema_path() -> Optional[str]: - """Find the OEPF JSON schema file.""" - for p in _SCHEMA_PATHS: - if os.path.isfile(p): - return p - return None - - -# Singleton validator instance -_validator_instance: Optional[Any] = None -_basic_mode = False - - -def _get_validator(): - """Get or create the validator singleton.""" - global _validator_instance, _basic_mode - - if _validator_instance is not None: - return _validator_instance - - schema_path = _find_schema_path() - - if _FULL_VALIDATOR_AVAILABLE and schema_path: - try: - _validator_instance = _ProfileValidator(schema_path=schema_path) - logger.info( - "OEPF ProfileValidator initialized with schema at %s", schema_path - ) - return _validator_instance - except Exception as e: - logger.warning("Failed to initialize full ProfileValidator: %s", e) - - # Fall back to basic mode - _basic_mode = True - _validator_instance = "basic" - logger.info("Using basic profile validation (no JSON schema available)") - return _validator_instance - - -def _basic_validate(profile: Dict[str, Any]) -> Tuple[bool, List[str]]: - """Basic structural validation when full schema isn't available. - - Checks the most critical rules that the prompt's validation section covers. - """ - errors: List[str] = [] - - if not isinstance(profile, dict): - return False, ["Profile must be a JSON object"] - - # Required top-level fields - if "name" not in profile: - errors.append("Missing required field: 'name'") - if "stages" not in profile or not isinstance(profile.get("stages"), list): - errors.append("Missing or invalid 'stages' array") - if not profile.get("stages"): - errors.append("Profile must have at least one stage") - - for i, stage in enumerate(profile.get("stages", [])): - if not isinstance(stage, dict): - errors.append(f"Stage {i + 1}: must be a JSON object") - continue - - sname = stage.get("name", f"Stage {i + 1}") - stype = stage.get("type") - - # Stage type validation - if stype not in ("power", "flow", "pressure"): - errors.append( - f"Stage '{sname}': type must be 'power', 'flow', or 'pressure', got '{stype}'" - ) - - # Exit triggers required - triggers = stage.get("exit_triggers", []) - if not triggers: - errors.append(f"Stage '{sname}': missing exit_triggers") - else: - trigger_types = {t.get("type") for t in triggers if isinstance(t, dict)} - - # Paradox check - if stype in trigger_types and stype in ("flow", "pressure"): - errors.append( - f"Stage '{sname}': {stype} stage cannot have a {stype} exit trigger (paradox)" - ) - - # Backup trigger check - if len(triggers) == 1 and "time" not in trigger_types: - errors.append( - f"Stage '{sname}': single non-time exit trigger needs a time backup" - ) - - # Cross-type limits check - limits = stage.get("limits", []) - if stype == "flow": - has_pressure_limit = any( - isinstance(lim, dict) and lim.get("type") == "pressure" - for lim in limits - ) - if not has_pressure_limit: - errors.append(f"Stage '{sname}': flow stage must have a pressure limit") - elif stype == "pressure": - has_flow_limit = any( - isinstance(lim, dict) and lim.get("type") == "flow" for lim in limits - ) - if not has_flow_limit: - errors.append(f"Stage '{sname}': pressure stage must have a flow limit") - - # Dynamics validation - dynamics = stage.get("dynamics", {}) - if isinstance(dynamics, dict): - over = dynamics.get("over") - if over and over not in ("time", "weight", "piston_position"): - errors.append( - f"Stage '{sname}': dynamics.over must be 'time', 'weight', or 'piston_position'" - ) - - interp = dynamics.get("interpolation") - if interp and interp not in ("linear", "curve"): - errors.append( - f"Stage '{sname}': interpolation must be 'linear' or 'curve'" - ) - - # Unused adjustable variables check - variables = profile.get("variables", []) - if variables and isinstance(variables, list): - # Build a set of all $key references across all stages (recursive) - used_keys: set = set() - - def _collect_refs(obj: Any) -> None: - if isinstance(obj, str): - if obj.startswith("$"): - used_keys.add(obj[1:]) - elif isinstance(obj, list): - for item in obj: - _collect_refs(item) - elif isinstance(obj, dict): - for val in obj.values(): - _collect_refs(val) - - for stage in profile.get("stages", []): - if isinstance(stage, dict): - _collect_refs(stage) - - for var in variables: - if not isinstance(var, dict): - continue - key = var.get("key") - name = var.get("name", "") - is_info = not var.get("adjustable", True) - if key and not is_info and key not in used_keys: - errors.append( - f"Adjustable variable '{key}' ({name}) is defined but never used " - f"in any stage. Use ${key} in a dynamics point, mark it as info-only " - f"(adjustable: false), or remove it." - ) - - return len(errors) == 0, errors - - -def validate_profile(profile: Dict[str, Any]) -> ValidationResult: - """Validate a profile against the OEPF schema. - - Uses the full MCP ProfileValidator when available, falls back to basic - structural validation otherwise. - - Args: - profile: Profile JSON dictionary to validate. - - Returns: - ValidationResult with is_valid flag and list of error strings. - """ - validator = _get_validator() - - if _basic_mode or validator == "basic": - is_valid, errors = _basic_validate(profile) - else: - try: - from meticulous_mcp.profile_validator import ValidationLevel # type: ignore[import-untyped] - - is_valid, errors = validator.validate(profile, level=ValidationLevel.STRICT) - except Exception as e: - logger.warning("Full validation failed, falling back to basic: %s", e) - is_valid, errors = _basic_validate(profile) - - if not is_valid: - logger.debug( - "Profile validation failed with %d error(s)", - len(errors), - extra={"errors": errors[:5]}, - ) - - return ValidationResult(is_valid=is_valid, errors=errors) - - -def is_schema_available() -> bool: - """Check if the full OEPF schema is available for validation.""" - return _FULL_VALIDATOR_AVAILABLE and _find_schema_path() is not None diff --git a/apps/server/test_ai_providers.py b/apps/server/test_ai_providers.py deleted file mode 100644 index 93d8d0af..00000000 --- a/apps/server/test_ai_providers.py +++ /dev/null @@ -1,395 +0,0 @@ -"""Tests for the OpenAI-compatible AI provider layer (#491 PR3).""" - -import os -from unittest.mock import patch - -import pytest -from PIL import Image - -import services.ai_providers as ai_providers -from services.ai_providers import ( - DEFAULT_PROVIDER, - OpenAICompatModel, - ProviderError, - _contents_to_messages, - get_active_provider_id, - get_provider_api_key, - get_provider_model, - is_gemini_active, - is_provider_available, -) - - -class TestActiveProvider: - @patch.dict(os.environ, {}, clear=True) - def test_defaults_to_gemini(self): - assert get_active_provider_id() == DEFAULT_PROVIDER - assert is_gemini_active() is True - - @patch.dict(os.environ, {"AI_PROVIDER": "openai"}, clear=True) - def test_reads_env(self): - assert get_active_provider_id() == "openai" - assert is_gemini_active() is False - - @patch.dict(os.environ, {"AI_PROVIDER": "not-a-provider"}, clear=True) - def test_unknown_falls_back_to_gemini(self): - assert get_active_provider_id() == DEFAULT_PROVIDER - - @patch.dict(os.environ, {"AI_PROVIDER": "OpenAI"}, clear=True) - def test_case_insensitive(self): - assert get_active_provider_id() == "openai" - - -class TestProviderCredentials: - @patch.dict(os.environ, {"GEMINI_API_KEY": "gkey"}, clear=True) - def test_gemini_uses_gemini_key(self): - assert get_provider_api_key("gemini") == "gkey" - - @patch.dict( - os.environ, - {"AI_PROVIDER": "deepseek", "AI_API_KEY": "dkey"}, - clear=True, - ) - def test_non_gemini_uses_ai_key(self): - assert get_provider_api_key() == "dkey" - assert is_provider_available() is True - - @patch.dict(os.environ, {"AI_PROVIDER": "openai"}, clear=True) - def test_missing_key_unavailable(self): - assert is_provider_available() is False - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_MODEL": "gpt-4o"}, - clear=True, - ) - def test_model_from_env(self): - assert get_provider_model() == "gpt-4o" - - @patch.dict(os.environ, {"AI_PROVIDER": "deepseek"}, clear=True) - def test_model_falls_back_to_default(self): - assert get_provider_model() == "deepseek-chat" - - -class TestContentsTranslation: - def test_string_to_single_user_message(self): - msgs = _contents_to_messages("hello", vision=True) - assert msgs == [{"role": "user", "content": "hello"}] - - def test_nested_list_flattened(self): - msgs = _contents_to_messages([["a", "b"]], vision=True) - assert msgs[0]["content"] == "a\n\nb" - - def test_image_with_vision_provider(self): - img = Image.new("RGB", (2, 2), color="red") - msgs = _contents_to_messages(["describe", img], vision=True) - content = msgs[0]["content"] - assert isinstance(content, list) - assert content[0] == {"type": "text", "text": "describe"} - assert content[1]["type"] == "image_url" - assert content[1]["image_url"]["url"].startswith("data:image/") - - def test_image_dropped_for_text_only_provider(self): - img = Image.new("RGB", (2, 2), color="blue") - msgs = _contents_to_messages(["describe", img], vision=False) - assert msgs == [{"role": "user", "content": "describe"}] - - -class TestOpenAICompatModel: - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k", "AI_MODEL": "gpt-4o-mini"}, - clear=True, - ) - def test_generate_content_parses_response(self): - class _Resp: - status_code = 200 - - @staticmethod - def json(): - return {"choices": [{"message": {"content": "the answer"}}]} - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def post(self, url, headers, json): - assert url.endswith("/chat/completions") - assert headers["Authorization"] == "Bearer k" - assert json["model"] == "gpt-4o-mini" - return _Resp() - - with patch.object(ai_providers.httpx, "Client", _Client): - model = OpenAICompatModel() - resp = model.generate_content("hi") - assert resp.text == "the answer" - - @patch.dict(os.environ, {"AI_PROVIDER": "openai"}, clear=True) - def test_missing_key_raises(self): - model = OpenAICompatModel() - with pytest.raises(ProviderError): - model.generate_content("hi") - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, - clear=True, - ) - def test_http_error_status_raises(self): - class _Resp: - status_code = 401 - text = "unauthorized" - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def post(self, url, headers, json): - return _Resp() - - with patch.object(ai_providers.httpx, "Client", _Client): - model = OpenAICompatModel() - with pytest.raises(ProviderError): - model.generate_content("hi") - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openrouter", "AI_API_KEY": "k"}, - clear=True, - ) - def test_openrouter_referer_headers(self): - model = OpenAICompatModel() - headers = model._headers() - assert "HTTP-Referer" in headers - assert headers["X-Title"] == "Metic" - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, - clear=True, - ) - @pytest.mark.asyncio - async def test_async_generate_content(self): - class _Resp: - status_code = 200 - - @staticmethod - def json(): - return {"choices": [{"message": {"content": "async answer"}}]} - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def post(self, url, headers, json): - return _Resp() - - with patch.object(ai_providers.httpx, "Client", _Client): - model = OpenAICompatModel() - resp = await model.async_generate_content("hi") - assert resp.text == "async answer" - - -class TestGeminiServiceDelegation: - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k", "AI_MODEL": "gpt-4o"}, - clear=True, - ) - def test_get_vision_model_returns_compat_for_non_gemini(self): - import importlib - import services.gemini_service as gemini_service - - importlib.reload(gemini_service) - model = gemini_service.get_vision_model() - assert isinstance(model, OpenAICompatModel) - assert gemini_service.get_model_name() == "gpt-4o" - assert gemini_service.is_ai_available() is True - - -def _b64_png() -> str: - """A 1x1 PNG encoded as base64 (valid for base64.b64decode).""" - import base64 - import io - - buf = io.BytesIO() - Image.new("RGB", (1, 1), (10, 20, 30)).save(buf, format="PNG") - return base64.b64encode(buf.getvalue()).decode("ascii") - - -class _ImgResp: - def __init__(self, status_code, payload=None, text=""): - self.status_code = status_code - self._payload = payload or {} - self.text = text - - def json(self): - return self._payload - - -def _img_client_factory(responses): - """Build a fake httpx.Client yielding queued responses per POST call.""" - calls = {"posts": []} - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def post(self, url, headers, json): - calls["posts"].append({"url": url, "model": json.get("model")}) - return responses.pop(0) - - return _Client, calls - - -class TestImageGeneration: - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, - clear=True, - ) - def test_openai_image_success_returns_bytes(self): - from services.ai_providers import _generate_image_bytes_sync - - b64 = _b64_png() - client, calls = _img_client_factory( - [_ImgResp(200, {"data": [{"b64_json": b64}]})] - ) - with patch.object(ai_providers.httpx, "Client", client): - data = _generate_image_bytes_sync("a cat", "openai") - assert isinstance(data, bytes) and len(data) > 0 - # gpt-image-1 is tried first; no response_format fallback needed. - assert calls["posts"][0]["model"] == "gpt-image-1" - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, - clear=True, - ) - def test_falls_back_to_next_model_on_403(self): - from services.ai_providers import _generate_image_bytes_sync - - b64 = _b64_png() - # gpt-image-1 → 403 (org not verified), then dall-e-3 → success. - client, calls = _img_client_factory( - [ - _ImgResp(403, text="org must be verified"), - _ImgResp(200, {"data": [{"b64_json": b64}]}), - ] - ) - with patch.object(ai_providers.httpx, "Client", client): - data = _generate_image_bytes_sync("a cat", "openai") - assert isinstance(data, bytes) and len(data) > 0 - assert [p["model"] for p in calls["posts"]] == ["gpt-image-1", "dall-e-3"] - - @patch.dict( - os.environ, - {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, - clear=True, - ) - def test_non_recoverable_status_raises_without_fallback(self): - from services.ai_providers import ProviderImageError, _generate_image_bytes_sync - - # 500 is not in the recoverable set → raise immediately, no fallback. - client, calls = _img_client_factory([_ImgResp(500, text="server error")]) - with patch.object(ai_providers.httpx, "Client", client): - with pytest.raises(ProviderImageError): - _generate_image_bytes_sync("a cat", "openai") - assert len(calls["posts"]) == 1 - - @patch.dict(os.environ, {"AI_PROVIDER": "deepseek", "AI_API_KEY": "k"}, clear=True) - def test_unsupported_provider_raises(self): - from services.ai_providers import ProviderError, _generate_image_bytes_sync - - with pytest.raises(ProviderError): - _generate_image_bytes_sync("a cat", "deepseek") - - -class TestListProviderModels: - @patch.dict(os.environ, {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, clear=True) - async def test_parses_data_envelope(self): - from services.ai_providers import list_provider_models - - class _Resp: - status_code = 200 - - @staticmethod - def raise_for_status(): - return None - - @staticmethod - def json(): - return {"data": [{"id": "gpt-4o"}, {"id": "gpt-4o-mini"}, {"no": "id"}]} - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def get(self, url, headers): - assert url.endswith("/models") - return _Resp() - - with patch.object(ai_providers.httpx, "Client", _Client): - models = await list_provider_models("openai") - ids = [m["id"] for m in models] - assert ids == ["gpt-4o", "gpt-4o-mini"] - - @patch.dict(os.environ, {"AI_PROVIDER": "openai", "AI_API_KEY": "k"}, clear=True) - async def test_falls_back_to_default_on_error(self): - from services.ai_providers import list_provider_models - - class _Client: - def __init__(self, *a, **k): - pass - - def __enter__(self): - return self - - def __exit__(self, *a): - return False - - def get(self, url, headers): - raise ai_providers.httpx.HTTPError("boom") - - with patch.object(ai_providers.httpx, "Client", _Client): - models = await list_provider_models("openai") - assert models == [ - {"id": "gpt-4o-mini", "display_name": "gpt-4o-mini", "description": ""} - ] - - @patch.dict(os.environ, {"AI_PROVIDER": "openai"}, clear=True) - async def test_no_api_key_returns_fallback(self): - from services.ai_providers import list_provider_models - - models = await list_provider_models("openai") - assert models[0]["id"] == "gpt-4o-mini" diff --git a/apps/server/test_analyze_shot.py b/apps/server/test_analyze_shot.py deleted file mode 100644 index 281a8283..00000000 --- a/apps/server/test_analyze_shot.py +++ /dev/null @@ -1,159 +0,0 @@ -"""Tests for the tools.analyze_shot CLI runner.""" - -import json -from pathlib import Path - -import pytest - -from tools import analyze_shot - -SAMPLE_SHOT = Path(__file__).parent / "tools" / "samples" / "slayer_at_home.shot.json" - - -def _slayer_profile() -> dict: - """A 'Slayer at Home'-style profile: nested dynamics, aggressive flow - target governed by a pressure limit — should read as effectively pressure.""" - return { - "name": "Slayer at Home", - "temperature": 93, - "final_weight": 36, - "variables": [ - { - "key": "flow_MaxFlowRate", - "name": "flow_MaxFlowRate", - "type": "flow", - "value": 10.8, - }, - { - "key": "pressure_Max", - "name": "Max Pressure", - "type": "pressure", - "value": 6, - }, - ], - "stages": [ - { - "name": "Extraction", - "type": "flow", - "key": "flow_extraction", - "dynamics": { - "points": [[0, "$flow_MaxFlowRate"], [30, "$flow_MaxFlowRate"]], - "over": "time", - "interpolation": "linear", - }, - "exit_triggers": [{"type": "weight", "value": 36, "comparison": ">="}], - "limits": [{"type": "pressure", "value": "$pressure_Max"}], - } - ], - } - - -def _shot_log(with_profile: bool = False) -> dict: - shot: dict = { - "data": [ - { - "time": 0, - "status": "Extraction", - "shot": {"pressure": 0, "flow": 0, "weight": 0}, - }, - { - "time": 5000, - "status": "Extraction", - "shot": {"pressure": 6, "flow": 3.2, "weight": 8}, - }, - { - "time": 30000, - "status": "Extraction", - "shot": {"pressure": 6, "flow": 2.1, "weight": 36}, - }, - ] - } - if with_profile: - shot["profile"] = _slayer_profile() - return shot - - -def test_run_analysis_with_separate_profile(tmp_path): - shot_path = tmp_path / "shot.json" - profile_path = tmp_path / "profile.json" - shot_path.write_text(json.dumps(_shot_log()), encoding="utf-8") - profile_path.write_text(json.dumps(_slayer_profile()), encoding="utf-8") - - analysis = analyze_shot.run_analysis(str(shot_path), str(profile_path)) - - stage = analysis["stage_analyses"][0] - assert stage["profile_max_target"] == 10.8 - fact = next( - s for s in analysis["shot_facts"]["stages"] if s["stage_name"] == "Extraction" - ) - assert fact["control_mode"] == "pressure" - assert fact["mode_overridden"] is True - - -def test_run_analysis_uses_embedded_profile(tmp_path): - shot_path = tmp_path / "shot.json" - shot_path.write_text(json.dumps(_shot_log(with_profile=True)), encoding="utf-8") - - analysis = analyze_shot.run_analysis(str(shot_path)) - - assert analysis["profile_info"]["name"] == "Slayer at Home" - assert analysis["shot_facts"]["stages"][0]["control_mode"] == "pressure" - - -def test_run_analysis_missing_embedded_profile_raises(tmp_path): - shot_path = tmp_path / "shot.json" - shot_path.write_text(json.dumps(_shot_log()), encoding="utf-8") - - with pytest.raises(ValueError, match="no embedded 'profile'"): - analyze_shot.run_analysis(str(shot_path)) - - -def test_format_report_includes_stage_facts(tmp_path): - shot_path = tmp_path / "shot.json" - shot_path.write_text(json.dumps(_shot_log(with_profile=True)), encoding="utf-8") - analysis = analyze_shot.run_analysis(str(shot_path)) - - report = analyze_shot.format_report(analysis) - - assert "Slayer at Home" in report - assert "Extraction" in report - assert "control mode: pressure" in report - - -def test_main_json_output(tmp_path, capsys): - shot_path = tmp_path / "shot.json" - shot_path.write_text(json.dumps(_shot_log(with_profile=True)), encoding="utf-8") - - exit_code = analyze_shot.main([str(shot_path), "--json"]) - - assert exit_code == 0 - out = capsys.readouterr().out - parsed = json.loads(out) - assert parsed["profile_info"]["name"] == "Slayer at Home" - - -def test_main_reports_error_for_missing_file(tmp_path, capsys): - exit_code = analyze_shot.main([str(tmp_path / "nope.json")]) - - assert exit_code == 1 - assert "error:" in capsys.readouterr().err - - -def test_real_slayer_export_resolves_extraction_as_pressure(): - """The bundled real 'Slayer at Home' export uses nested dynamics with an - aggressive flow target and a pressure limit. Its Extraction stage must - resolve as effectively pressure-controlled (#423).""" - analysis = analyze_shot.run_analysis(str(SAMPLE_SHOT)) - - assert analysis["profile_info"]["name"] == "Slayer at Home" - extraction = next( - s for s in analysis["shot_facts"]["stages"] if s["stage_name"] == "Extraction" - ) - assert extraction["control_mode"] == "pressure" - assert extraction["declared_mode"] == "flow" - assert extraction["mode_overridden"] is True - # The flow target ($flow_MaxFlowRate = 10.8) must resolve from nested points. - stage_analysis = next( - s for s in analysis["stage_analyses"] if s["stage_name"] == "Extraction" - ) - assert stage_analysis["profile_max_target"] == 10.8 diff --git a/apps/server/test_integration_machine.py b/apps/server/test_integration_machine.py deleted file mode 100644 index 29d44cfc..00000000 --- a/apps/server/test_integration_machine.py +++ /dev/null @@ -1,560 +0,0 @@ -""" -Integration tests for MeticAI with real Meticulous machine. - -These tests require a real Meticulous machine to be accessible on the network. -They are excluded from CI and should only be run locally. - -Usage: - export METICULOUS_IP=192.168.x.x - export TEST_INTEGRATION=true - cd apps/server && pytest test_integration_machine.py -v - -Environment Variables: - METICULOUS_IP: IP address of the Meticulous machine (required) - TEST_INTEGRATION: Set to "true" to enable integration tests - MQTT_HOST: MQTT broker host (default: 127.0.0.1) - MQTT_PORT: MQTT broker port (default: 1883) -""" - -import asyncio -import pytest -import httpx -import time -import json - -# Import integration test fixtures - - -# ============================================================================ -# CONNECTION TESTS -# ============================================================================ - - -@pytest.mark.integration -class TestMachineConnection: - """Test basic connectivity to the Meticulous machine.""" - - async def test_machine_reachable(self, meticulous_base_url): - """Verify the machine responds to HTTP requests.""" - async with httpx.AsyncClient(timeout=10.0) as client: - response = await client.get(f"{meticulous_base_url}/api/v1/settings") - assert response.status_code == 200 - data = response.json() - assert isinstance(data, dict) - assert len(data) > 0 - - async def test_websocket_connection(self, meticulous_base_url): - """Test WebSocket connection to machine (Socket.IO).""" - # The Meticulous machine uses Socket.IO for real-time updates - # We test the HTTP handshake portion - async with httpx.AsyncClient(timeout=10.0) as client: - response = await client.get( - f"{meticulous_base_url}/socket.io/", - params={"EIO": "4", "transport": "polling"}, - ) - # Socket.IO handshake should return 200 with session info - assert response.status_code == 200 - - async def test_api_client_initialization(self, integration_api): - """Verify the API client initializes correctly.""" - assert integration_api is not None - assert hasattr(integration_api, "base_url") - assert integration_api.base_url.startswith("http") - - async def test_connection_recovery(self, meticulous_base_url, helpers): - """Test that connection can be re-established after interruption.""" - async with httpx.AsyncClient(timeout=10.0) as client: - # First connection - response1 = await client.get(f"{meticulous_base_url}/api/v1/settings") - assert response1.status_code == 200 - - # Small delay - await asyncio.sleep(0.5) - - # Second connection (simulates recovery) - response2 = await client.get(f"{meticulous_base_url}/api/v1/settings") - assert response2.status_code == 200 - - -@pytest.mark.integration -class TestMQTTConnection: - """Test MQTT broker connectivity.""" - - def test_mqtt_broker_reachable(self, mqtt_host, mqtt_port, helpers): - """Verify MQTT broker accepts connections.""" - connected = helpers.wait_for_connection(mqtt_host, mqtt_port, timeout=5.0) - if not connected: - pytest.skip("MQTT broker not reachable - may not be running locally") - assert connected - - def test_mqtt_subscription(self, mqtt_host, mqtt_port): - """Test subscribing to MQTT topics.""" - try: - import paho.mqtt.client as mqtt - except ImportError: - pytest.skip("paho-mqtt not installed") - - received_messages = [] - asyncio.Event() - - def on_connect(client, userdata, flags, rc): - if rc == 0: - client.subscribe("meticulous/#") - - def on_message(client, userdata, msg): - received_messages.append( - { - "topic": msg.topic, - "payload": msg.payload.decode("utf-8", errors="ignore"), - } - ) - - client = mqtt.Client() - client.on_connect = on_connect - client.on_message = on_message - - try: - client.connect(mqtt_host, mqtt_port, 60) - client.loop_start() - - # Wait a moment for potential messages - time.sleep(2.0) - - client.loop_stop() - client.disconnect() - - # Test passes if we connected (messages may or may not be present) - assert True - except Exception as e: - pytest.skip(f"MQTT connection failed: {e}") - - -# ============================================================================ -# API TESTS (Real Data) -# ============================================================================ - - -@pytest.mark.integration -class TestProfileAPI: - """Test profile CRUD operations against real machine.""" - - async def test_list_profiles(self, wait_for_machine): - """Verify we can list profiles from the machine.""" - from services.meticulous_service import async_list_profiles - - profiles = await async_list_profiles() - assert isinstance(profiles, list) - # Machine should have at least some default profiles - if len(profiles) > 0: - profile = profiles[0] - assert "id" in profile or hasattr(profile, "id") - - async def test_profile_schema_validation(self, wait_for_machine): - """Test profile data matches expected schema.""" - from services.meticulous_service import async_list_profiles - - profiles = await async_list_profiles() - if not profiles: - pytest.skip("No profiles on machine") - - profile = profiles[0] - # Convert to dict if needed - if hasattr(profile, "__dict__"): - vars(profile) - else: - dict(profile) if hasattr(profile, "keys") else {} - - # Basic schema checks - profile should have key fields - # Note: actual field names depend on meticulous API response format - assert profile is not None - - async def test_fetch_shot_history(self, meticulous_base_url): - """Test retrieving shot history from machine.""" - async with httpx.AsyncClient(timeout=30.0) as client: - response = await client.get(f"{meticulous_base_url}/api/v1/history/list") - - if response.status_code == 404: - pytest.skip("History endpoint not available") - - assert response.status_code == 200 - history = response.json() - assert isinstance(history, (list, dict)) - - -@pytest.mark.integration -class TestLastShotAPI: - """Test last shot retrieval.""" - - async def test_last_shot_endpoint(self, meticulous_base_url): - """Test fetching last shot data.""" - async with httpx.AsyncClient(timeout=30.0) as client: - # Try the history endpoint first - response = await client.get(f"{meticulous_base_url}/api/v1/history/last") - - if response.status_code == 404: - # Try alternative endpoint - response = await client.get( - f"{meticulous_base_url}/api/v1/history/list" - ) - if response.status_code == 404: - pytest.skip("No shot history endpoints available") - - # If we got a response, validate structure - if response.status_code == 200: - data = response.json() - assert data is not None - - -# ============================================================================ -# TELEMETRY TESTS -# ============================================================================ - - -@pytest.mark.integration -class TestTelemetry: - """Test real-time telemetry data reception via Socket.IO. - - The Meticulous machine streams sensor data (weight, temperature, pressure) - through Socket.IO 'status' events, not REST endpoints. - """ - - async def test_weight_data_available(self, integration_api): - """Verify weight sensor data is accessible via Socket.IO.""" - received = {"data": None} - - def on_status(data): - if received["data"] is None: - received["data"] = data - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - # Wait for a status event (up to 5 seconds) - for _ in range(50): - if received["data"] is not None: - break - await asyncio.sleep(0.1) - - assert received["data"] is not None, "No status event received from machine" - - data = received["data"] - sensors = ( - data.get("sensors", {}) - if isinstance(data, dict) - else vars(getattr(data, "sensors", {})) - ) - assert "w" in sensors, f"Weight field 'w' not in sensors: {sensors.keys()}" - assert isinstance(sensors["w"], (int, float)) - print(f"Weight: {sensors['w']}g") - finally: - integration_api.sio.on("status", None) - - async def test_temperature_data_available(self, integration_api): - """Verify temperature sensor data is accessible via Socket.IO.""" - received = {"data": None} - - def on_status(data): - if received["data"] is None: - received["data"] = data - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - for _ in range(50): - if received["data"] is not None: - break - await asyncio.sleep(0.1) - - assert received["data"] is not None, "No status event received from machine" - - data = received["data"] - sensors = ( - data.get("sensors", {}) - if isinstance(data, dict) - else vars(getattr(data, "sensors", {})) - ) - # 't' = temperature, 'g' = group temperature - assert "t" in sensors, ( - f"Temperature field 't' not in sensors: {sensors.keys()}" - ) - assert isinstance(sensors["t"], (int, float)) - print(f"Temperature: {sensors['t']}°C, Group: {sensors.get('g', 'N/A')}°C") - finally: - integration_api.sio.on("status", None) - - async def test_pressure_data_available(self, integration_api): - """Verify pressure sensor data is accessible via Socket.IO.""" - received = {"data": None} - - def on_status(data): - if received["data"] is None: - received["data"] = data - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - for _ in range(50): - if received["data"] is not None: - break - await asyncio.sleep(0.1) - - assert received["data"] is not None, "No status event received from machine" - - data = received["data"] - sensors = ( - data.get("sensors", {}) - if isinstance(data, dict) - else vars(getattr(data, "sensors", {})) - ) - assert "p" in sensors, ( - f"Pressure field 'p' not in sensors: {sensors.keys()}" - ) - assert isinstance(sensors["p"], (int, float)) - print(f"Pressure: {sensors['p']} bar") - finally: - integration_api.sio.on("status", None) - - async def test_telemetry_polling_latency(self, integration_api): - """Test telemetry event frequency from Socket.IO.""" - timestamps = [] - - def on_status(data): - timestamps.append(time.time()) - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - # Collect events for 3 seconds - await asyncio.sleep(3.0) - - assert len(timestamps) >= 2, ( - f"Only received {len(timestamps)} status events in 3s" - ) - - # Calculate inter-event intervals - intervals = [ - (timestamps[i] - timestamps[i - 1]) * 1000 - for i in range(1, len(timestamps)) - ] - avg_interval = sum(intervals) / len(intervals) - - print(f"Received {len(timestamps)} status events in 3s") - print(f"Average interval: {avg_interval:.1f}ms") - - # Events should arrive at least every 2 seconds - assert avg_interval < 2000 - finally: - integration_api.sio.on("status", None) - - -# ============================================================================ -# COMMAND TESTS -# ============================================================================ - - -@pytest.mark.integration -class TestMachineCommands: - """Test machine command execution. - - CAUTION: These tests send actual commands to the machine. - Only safe commands (tare, brightness) are tested by default. - """ - - async def test_tare_command(self, wait_for_machine, meticulous_base_url): - """Test tare (zero scale) command.""" - async with httpx.AsyncClient(timeout=10.0) as client: - # Verify machine is reachable via settings endpoint - response = await client.get(f"{meticulous_base_url}/api/v1/settings") - assert response.status_code == 200 - - # Send tare command via the SDK's action endpoint - tare_response = await client.get( - f"{meticulous_base_url}/api/v1/action/tare" - ) - - # Command should be accepted (200) or rejected if machine is busy (400) - assert tare_response.status_code in (200, 400), ( - f"Unexpected tare response: {tare_response.status_code}" - ) - print(f"Tare response: {tare_response.status_code}") - - @pytest.mark.skip(reason="Preheat command may not be safe to run automatically") - async def test_preheat_command(self, wait_for_machine): - """Test preheat command - SKIPPED by default for safety.""" - pass - - async def test_brightness_command(self, meticulous_base_url): - """Test brightness setting via the settings endpoint.""" - async with httpx.AsyncClient(timeout=10.0) as client: - # Get current settings first - get_response = await client.get(f"{meticulous_base_url}/api/v1/settings") - - if get_response.status_code == 404: - pytest.skip("Settings endpoint not available") - - assert get_response.status_code == 200 - settings = get_response.json() - print(f"Settings keys: {list(settings.keys())}") - # Settings endpoint exists and returns data - assert isinstance(settings, dict) - - -# ============================================================================ -# POUR-OVER MODE TESTS -# ============================================================================ - - -@pytest.mark.integration -class TestPourOverMode: - """Test pour-over specific functionality.""" - - async def test_scale_weight_polling(self, integration_api): - """Verify continuous scale weight readings via Socket.IO.""" - weights = [] - - def on_status(data): - sensors = ( - data.get("sensors", {}) - if isinstance(data, dict) - else vars(getattr(data, "sensors", {})) - ) - weight = sensors.get("w", 0) - weights.append(weight) - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - # Collect weight readings for 2 seconds - await asyncio.sleep(2.0) - - assert len(weights) >= 2, ( - f"Only received {len(weights)} weight readings in 2s" - ) - - # Weights should be numeric - for w in weights: - assert isinstance(w, (int, float)), f"Weight {w} is not numeric" - - print( - f"Collected {len(weights)} weight readings, range: {min(weights):.1f}g - {max(weights):.1f}g" - ) - finally: - integration_api.sio.on("status", None) - - async def test_flow_rate_calculation(self, integration_api): - """Test that flow rate can be calculated from weight changes.""" - samples = [] - - def on_status(data): - sensors = ( - data.get("sensors", {}) - if isinstance(data, dict) - else vars(getattr(data, "sensors", {})) - ) - weight = sensors.get("w", 0) - samples.append({"time": time.time(), "weight": weight}) - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - # Collect samples for 2 seconds - await asyncio.sleep(2.0) - finally: - integration_api.sio.on("status", None) - - assert len(samples) >= 2, f"Need at least 2 samples, got {len(samples)}" - - # Calculate flow rates between samples - flow_rates = [] - for i in range(1, len(samples)): - dt = samples[i]["time"] - samples[i - 1]["time"] - dw = samples[i]["weight"] - samples[i - 1]["weight"] - if dt > 0: - flow_rates.append(dw / dt) - - print(f"Calculated {len(flow_rates)} flow rates from {len(samples)} samples") - assert len(flow_rates) > 0 - - -# ============================================================================ -# INTEGRATION SMOKE TESTS -# ============================================================================ - - -@pytest.mark.integration -class TestIntegrationSmoke: - """Quick smoke tests to verify basic integration.""" - - async def test_full_workflow_profiles(self, wait_for_machine): - """Test complete profile listing workflow.""" - from services.meticulous_service import ( - async_list_profiles, - invalidate_profile_list_cache, - ) - - # Clear cache - invalidate_profile_list_cache() - - # List profiles (fresh) - profiles = await async_list_profiles() - assert isinstance(profiles, list) - - # List again (should use cache) - profiles2 = await async_list_profiles() - assert profiles2 is profiles # Same object from cache - - async def test_machine_state_complete(self, meticulous_base_url, integration_api): - """Test that machine settings and Socket.IO state are available.""" - # Verify REST settings endpoint - async with httpx.AsyncClient(timeout=10.0) as client: - response = await client.get(f"{meticulous_base_url}/api/v1/settings") - assert response.status_code == 200 - - settings = response.json() - print(f"\nMachine settings fields: {list(settings.keys())}") - assert isinstance(settings, dict) - assert len(settings) > 0 - - # Verify Socket.IO status event delivers full state - received = {"data": None} - - def on_status(data): - if received["data"] is None: - received["data"] = data - - integration_api.sio.on("status", on_status) - try: - if not integration_api.sio.connected: - integration_api.connect_to_socket(retries=2) - - for _ in range(50): - if received["data"] is not None: - break - await asyncio.sleep(0.1) - - assert received["data"] is not None, "No status event received" - - data = received["data"] - state_fields = ( - list(data.keys()) - if isinstance(data, dict) - else [k for k in vars(data).keys() if not k.startswith("_")] - ) - print(f"Socket.IO status fields: {state_fields}") - print( - f"Socket.IO status sample: {json.dumps(data if isinstance(data, dict) else vars(data), indent=2, default=str)[:500]}" - ) - finally: - integration_api.sio.on("status", None) diff --git a/apps/server/test_logging.py b/apps/server/test_logging.py deleted file mode 100644 index afaeffd8..00000000 --- a/apps/server/test_logging.py +++ /dev/null @@ -1,419 +0,0 @@ -""" -Tests for the logging system in Coffee Relay. - -Tests cover: -- Logging configuration and initialization -- Log file creation and rotation -- JSON log formatting -- Request tracking with correlation IDs -- Log retrieval endpoint -- Error logging with stack traces -""" - -import pytest -import json -import logging -from pathlib import Path -from unittest.mock import Mock, patch -from fastapi.testclient import TestClient -import tempfile -import os -import sys - -# Import modules -sys.path.insert(0, os.path.dirname(__file__)) -from logging_config import ( - setup_logging, - JSONFormatter, - HumanReadableFormatter, - get_logger, -) -from main import app - - -@pytest.fixture -def temp_log_dir(): - """Create a temporary directory for log files.""" - with tempfile.TemporaryDirectory() as tmpdir: - yield tmpdir - - -@pytest.fixture -def client(): - """Create a test client for the FastAPI app.""" - return TestClient(app) - - -class TestLoggingConfiguration: - """Tests for logging configuration setup.""" - - def test_setup_logging_creates_directory(self, temp_log_dir): - """Test that setup_logging creates the log directory if it doesn't exist.""" - log_dir = Path(temp_log_dir) / "new_logs" - assert not log_dir.exists() - - logger = setup_logging(log_dir=str(log_dir)) - - assert log_dir.exists() - assert logger is not None - - def test_setup_logging_creates_log_files(self, temp_log_dir): - """Test that setup_logging creates the expected log files.""" - logger = setup_logging(log_dir=temp_log_dir) - - # Write a test log entry - logger.info("Test log entry") - logger.error("Test error entry") - - # Check that log files were created - all_logs = Path(temp_log_dir) / "meticai-server.log" - error_logs = Path(temp_log_dir) / "meticai-server-errors.log" - - assert all_logs.exists() - assert error_logs.exists() - - def test_setup_logging_configures_handlers(self, temp_log_dir): - """Test that setup_logging configures the correct handlers.""" - logger = setup_logging(log_dir=temp_log_dir) - - # Should have 3 handlers: console, all logs, error logs - assert len(logger.handlers) == 3 - - # Check handler types - handler_types = [type(h).__name__ for h in logger.handlers] - assert "StreamHandler" in handler_types - assert handler_types.count("RotatingFileHandler") == 2 - - def test_setup_logging_log_level(self, temp_log_dir): - """Test that setup_logging sets the correct log level.""" - logger = setup_logging(log_dir=temp_log_dir, log_level="DEBUG") - assert logger.level == logging.DEBUG - - logger = setup_logging(log_dir=temp_log_dir, log_level="ERROR") - assert logger.level == logging.ERROR - - def test_get_logger_returns_configured_logger(self, temp_log_dir): - """Test that get_logger returns the configured logger.""" - setup_logging(log_dir=temp_log_dir) - logger = get_logger() - - assert logger.name == "meticai-server" - assert len(logger.handlers) > 0 - - -class TestJSONFormatter: - """Tests for JSON log formatting.""" - - def test_json_formatter_basic_fields(self): - """Test that JSONFormatter includes basic required fields.""" - formatter = JSONFormatter() - record = logging.LogRecord( - name="test", - level=logging.INFO, - pathname="test.py", - lineno=42, - msg="Test message", - args=(), - exc_info=None, - ) - - formatted = formatter.format(record) - log_data = json.loads(formatted) - - assert "timestamp" in log_data - assert log_data["level"] == "INFO" - assert log_data["logger"] == "test" - assert log_data["message"] == "Test message" - assert log_data["line"] == 42 - - def test_json_formatter_with_exception(self): - """Test that JSONFormatter includes exception information.""" - formatter = JSONFormatter() - - try: - raise ValueError("Test error") - except ValueError: - record = logging.LogRecord( - name="test", - level=logging.ERROR, - pathname="test.py", - lineno=42, - msg="Error occurred", - args=(), - exc_info=sys.exc_info(), - ) - - formatted = formatter.format(record) - log_data = json.loads(formatted) - - assert "exception" in log_data - assert log_data["exception"]["type"] == "ValueError" - assert "Test error" in log_data["exception"]["message"] - assert "traceback" in log_data["exception"] - - def test_json_formatter_with_extra_fields(self): - """Test that JSONFormatter includes extra context fields.""" - formatter = JSONFormatter() - record = logging.LogRecord( - name="test", - level=logging.INFO, - pathname="test.py", - lineno=42, - msg="Test message", - args=(), - exc_info=None, - ) - - # Add extra fields - record.request_id = "test-123" - record.endpoint = "/test" - record.user_agent = "Mozilla/5.0" - record.duration_ms = 150 - - formatted = formatter.format(record) - log_data = json.loads(formatted) - - assert log_data["request_id"] == "test-123" - assert log_data["endpoint"] == "/test" - assert log_data["user_agent"] == "Mozilla/5.0" - assert log_data["duration_ms"] == 150 - - -class TestHumanReadableFormatter: - """Tests for human-readable log formatting.""" - - def test_human_readable_formatter_format(self): - """Test that HumanReadableFormatter produces readable output.""" - formatter = HumanReadableFormatter() - record = logging.LogRecord( - name="test", - level=logging.INFO, - pathname="test.py", - lineno=42, - msg="Test message", - args=(), - exc_info=None, - ) - - formatted = formatter.format(record) - - # Should contain key components - assert "test" in formatted - assert "INFO" in formatted - assert "Test message" in formatted - - -class TestLogRetrieval: - """Tests for the /api/logs endpoint.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_get_logs_endpoint_exists(self, client): - """Test that /api/logs endpoint is accessible.""" - # Create a temporary log directory - with tempfile.TemporaryDirectory() as tmpdir: - # Mock the log directory path - with patch("main.Path") as mock_path_class: - # Setup mock to return temp dir path - def path_side_effect(arg): - if arg == "/app/logs": - return Path(tmpdir) - return Path(arg) - - mock_path_class.side_effect = path_side_effect - - response = client.get("/api/logs") - assert response.status_code == 200 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_get_logs_returns_json_structure(self, client, temp_log_dir): - """Test that /api/logs returns expected JSON structure.""" - # Create a test log file - log_file = Path(temp_log_dir) / "meticai-server.log" - log_file.parent.mkdir(parents=True, exist_ok=True) - - test_log_entry = { - "timestamp": "2024-01-01T00:00:00Z", - "level": "INFO", - "message": "Test log entry", - } - - with open(log_file, "w") as f: - f.write(json.dumps(test_log_entry) + "\n") - - with patch("main.Path") as mock_path: - mock_path.return_value = Path(temp_log_dir) - - response = client.get("/api/logs") - - assert response.status_code == 200 - data = response.json() - - assert "logs" in data - assert "total_lines" in data - assert "log_file" in data - assert isinstance(data["logs"], list) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_get_logs_filters_by_level(self, client, temp_log_dir): - """Test that /api/logs can filter logs by level.""" - log_file = Path(temp_log_dir) / "meticai-server.log" - log_file.parent.mkdir(parents=True, exist_ok=True) - - # Write multiple log entries with different levels - with open(log_file, "w") as f: - f.write(json.dumps({"level": "INFO", "message": "Info message"}) + "\n") - f.write(json.dumps({"level": "ERROR", "message": "Error message"}) + "\n") - f.write(json.dumps({"level": "DEBUG", "message": "Debug message"}) + "\n") - - with patch("main.Path") as mock_path: - mock_path.return_value = Path(temp_log_dir) - - response = client.get("/api/logs?level=ERROR") - - assert response.status_code == 200 - data = response.json() - - # Should only return ERROR level logs - for log in data["logs"]: - assert log["level"] == "ERROR" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_get_logs_limits_lines(self, client, temp_log_dir): - """Test that /api/logs respects the lines parameter.""" - log_file = Path(temp_log_dir) / "meticai-server.log" - log_file.parent.mkdir(parents=True, exist_ok=True) - - # Write many log entries - with open(log_file, "w") as f: - for i in range(200): - f.write(json.dumps({"level": "INFO", "message": f"Message {i}"}) + "\n") - - with patch("main.Path") as mock_path: - mock_path.return_value = Path(temp_log_dir) - - response = client.get("/api/logs?lines=50") - - assert response.status_code == 200 - data = response.json() - - # Should return at most 50 entries - assert len(data["logs"]) <= 50 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_get_logs_error_type(self, client, temp_log_dir): - """Test that /api/logs can retrieve error logs specifically.""" - error_log_file = Path(temp_log_dir) / "meticai-server-errors.log" - error_log_file.parent.mkdir(parents=True, exist_ok=True) - - with open(error_log_file, "w") as f: - f.write(json.dumps({"level": "ERROR", "message": "Error message"}) + "\n") - - with patch("main.Path") as mock_path: - mock_path.return_value = Path(temp_log_dir) - - response = client.get("/api/logs?log_type=errors") - - assert response.status_code == 200 - data = response.json() - assert "meticai-server-errors.log" in data["log_file"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system.Path") - def test_get_logs_missing_file(self, mock_path, client): - """Test that /api/logs handles missing log file gracefully.""" - mock_log_file = Mock() - mock_log_file.exists.return_value = False - mock_path.return_value.__truediv__.return_value = mock_log_file - - response = client.get("/api/logs") - - assert response.status_code == 200 - data = response.json() - assert data["total_lines"] == 0 - assert "message" in data - - -class TestRequestLogging: - """Tests for request logging middleware.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_request_includes_correlation_id( - self, mock_vision_model, client, temp_log_dir - ): - """Test that requests include a correlation ID for tracking.""" - # Setup mock - mock_response = Mock() - mock_response.text = "Test coffee" - mock_vision_model.return_value.generate_content.return_value = mock_response - - # Create a simple image - from PIL import Image - from io import BytesIO - - img = Image.new("RGB", (100, 100), color="red") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_bytes.seek(0) - - # Make request - response = client.post( - "/analyze_coffee", files={"file": ("test.png", img_bytes, "image/png")} - ) - - assert response.status_code == 200 - # The middleware should have added request_id to the request state - # This is verified by checking that the endpoint was called successfully - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_openapi_includes_logs_endpoint(self, client): - """Test that /api/logs endpoint is in OpenAPI schema.""" - response = client.get("/openapi.json") - assert response.status_code == 200 - - openapi_data = response.json() - assert "/api/logs" in openapi_data["paths"] - assert "get" in openapi_data["paths"]["/api/logs"] - - -class TestLogRotation: - """Tests for log rotation functionality.""" - - def test_rotating_handler_configured(self, temp_log_dir): - """Test that rotating file handlers are properly configured.""" - max_bytes = 1024 # 1 KB for testing - backup_count = 2 - - logger = setup_logging( - log_dir=temp_log_dir, max_bytes=max_bytes, backup_count=backup_count - ) - - # Find rotating handlers - rotating_handlers = [ - h for h in logger.handlers if type(h).__name__ == "RotatingFileHandler" - ] - - assert len(rotating_handlers) == 2 - - for handler in rotating_handlers: - assert handler.maxBytes == max_bytes - assert handler.backupCount == backup_count - - def test_log_rotation_creates_backup(self, temp_log_dir): - """Test that log rotation creates backup files when size limit is reached.""" - max_bytes = 500 # Small size for testing - - logger = setup_logging( - log_dir=temp_log_dir, max_bytes=max_bytes, backup_count=2 - ) - - # Write enough data to trigger rotation - large_message = "x" * 200 - for i in range(10): - logger.info(large_message, extra={"iteration": i}) - - # Check for backup files - log_files = list(Path(temp_log_dir).glob("meticai-server.log*")) - - # Should have main log file and at least one backup - assert len(log_files) >= 1 diff --git a/apps/server/test_main.py b/apps/server/test_main.py deleted file mode 100644 index 2401d352..00000000 --- a/apps/server/test_main.py +++ /dev/null @@ -1,18339 +0,0 @@ -""" -Comprehensive tests for the Coffee Relay FastAPI application. - -Tests cover: -- /analyze_coffee endpoint functionality -- /analyze_and_profile endpoint functionality (consolidated endpoint) -- Error handling and edge cases -- Integration with Gemini AI (mocked) -""" - -import pytest -from fastapi.testclient import TestClient -from fastapi import HTTPException -from unittest.mock import Mock, patch, MagicMock, mock_open, AsyncMock -from io import BytesIO -import base64 -from PIL import Image -from pathlib import Path -import os -import subprocess -import json -from types import SimpleNamespace -import asyncio -import requests -import httpx - - -# Import the app and services -import sys - -sys.path.insert(0, os.path.dirname(__file__)) -from main import app -import main # Import main module for lifespan and remaining functions - -# Import service modules -import services.gemini_service -import services.meticulous_service -import services.analysis_service -import services.scheduling_state -import utils.file_utils -import utils.sanitization -import config -from services.history_service import save_to_history -from services.cache_service import _get_cached_image - - -@pytest.fixture -def client(): - """Create a test client for the FastAPI app.""" - return TestClient(app) - - -@pytest.fixture -def sample_image(): - """Create a sample image for testing.""" - # Create a simple test image - img = Image.new("RGB", (100, 100), color="red") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_bytes.seek(0) - return img_bytes - - -class TestAnalyzeCoffeeEndpoint: - """Tests for the /analyze_coffee endpoint.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_success(self, mock_vision_model, client, sample_image): - """Test successful coffee bag analysis.""" - # Mock the Gemini response - mock_response = Mock() - mock_response.text = ( - "Ethiopian Yirgacheffe, Light Roast, Floral and Citrus Notes" - ) - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - # Send request - response = client.post( - "/analyze_coffee", files={"file": ("test.png", sample_image, "image/png")} - ) - - # Assertions - assert response.status_code == 200 - assert "analysis" in response.json() - assert "Ethiopian" in response.json()["analysis"] - mock_vision_model.return_value.async_generate_content.assert_called_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_with_whitespace( - self, mock_vision_model, client, sample_image - ): - """Test that response text is properly stripped of whitespace.""" - # Mock response with extra whitespace - mock_response = Mock() - mock_response.text = " Colombian Supremo, Medium Roast \n" - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - response = client.post( - "/analyze_coffee", files={"file": ("test.png", sample_image, "image/png")} - ) - - assert response.status_code == 200 - assert response.json()["analysis"] == "Colombian Supremo, Medium Roast" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_api_error(self, mock_vision_model, client, sample_image): - """Test error handling when Gemini API fails.""" - # Mock an API error - mock_vision_model.return_value.generate_content.side_effect = Exception( - "API Error: Rate limit exceeded" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=Exception("API Error: Rate limit exceeded") - ) - - response = client.post( - "/analyze_coffee", files={"file": ("test.png", sample_image, "image/png")} - ) - - assert response.status_code == 200 - assert "error" in response.json() - assert "API Error" in response.json()["error"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_coffee_invalid_image(self, client): - """Test handling of invalid image data.""" - # Send invalid image data - invalid_data = BytesIO(b"not an image") - - response = client.post( - "/analyze_coffee", files={"file": ("test.txt", invalid_data, "text/plain")} - ) - - assert response.status_code == 200 - assert "error" in response.json() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_coffee_missing_file(self, client): - """Test error when no file is provided.""" - response = client.post("/analyze_coffee") - - assert response.status_code == 422 # Unprocessable Entity - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_different_image_formats(self, mock_vision_model, client): - """Test analysis with different image formats (JPEG, PNG, etc.).""" - mock_response = Mock() - mock_response.text = "Test coffee analysis" - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - for format_type in ["PNG", "JPEG"]: - img = Image.new("RGB", (100, 100), color="blue") - img_bytes = BytesIO() - img.save(img_bytes, format=format_type) - img_bytes.seek(0) - - response = client.post( - "/analyze_coffee", - files={ - "file": ( - f"test.{format_type.lower()}", - img_bytes, - f"image/{format_type.lower()}", - ) - }, - ) - - assert response.status_code == 200 - assert "analysis" in response.json() - - -@pytest.mark.usefixtures("mock_validate_profile") -class TestAnalyzeAndProfileEndpoint: - """Tests for the /analyze_and_profile endpoint (consolidated endpoint).""" - - PROFILE_REPLY = ( - "**Profile Created:** Test Profile\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Test Profile","stages":[],"variables":[]}\n' - "```\n" - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_with_image_only( - self, - mock_vision_model, - mock_create_profile, - mock_save_history, - client, - sample_image, - ): - """Test profile creation with only an image (no user preferences).""" - # Mock history saving - mock_save_history.return_value = {"id": "test-123"} - mock_create_profile.return_value = {"id": "machine-123"} - - # Mock vision model with two calls: image analysis then profile generation - analysis_response = Mock() - analysis_response.text = "Ethiopian Yirgacheffe, Light Roast, Floral Notes" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - assert ( - response.json()["analysis"] - == "Ethiopian Yirgacheffe, Light Roast, Floral Notes" - ) - assert "Profile Created" in response.json()["reply"] - - # Verify vision model was called - assert mock_vision_model.return_value.async_generate_content.call_count == 2 - mock_create_profile.assert_awaited_once() - - # Verify the final prompt contains the analysis - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - assert "Ethiopian Yirgacheffe, Light Roast, Floral Notes" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_with_prefs_only( - self, mock_vision_model, mock_create_profile, mock_save_history, client - ): - """Test profile creation with only user preferences (no image).""" - # Mock history saving - mock_save_history.return_value = {"id": "test-456"} - mock_create_profile.return_value = {"id": "machine-456"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Strong and intense espresso"} - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - assert response.json()["analysis"] is None # No image, so no analysis - assert "Profile Created" in response.json()["reply"] - - # Verify model prompt includes user preferences - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - assert "Strong and intense espresso" in prompt - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_with_both( - self, - mock_vision_model, - mock_create_profile, - mock_save_history, - client, - sample_image, - ): - """Test profile creation with both image and user preferences.""" - # Mock history saving - mock_save_history.return_value = {"id": "test-789"} - mock_create_profile.return_value = {"id": "machine-789"} - - # Mock two calls: image analysis then profile generation - analysis_response = Mock() - analysis_response.text = "Colombian Supremo, Medium Roast, Nutty" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - data={"user_prefs": "Quick extraction"}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - assert response.json()["analysis"] == "Colombian Supremo, Medium Roast, Nutty" - - # Verify prompt was built with both coffee analysis and user preferences - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - assert "Colombian Supremo, Medium Roast, Nutty" in prompt - assert "Quick extraction" in prompt - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_and_profile_missing_both(self, client): - """Test error when neither image nor preferences are provided.""" - response = client.post("/analyze_and_profile") - - assert response.status_code == 400 - assert "at least one" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_and_profile_missing_both_api_prefix(self, client): - """Test /api-prefixed route parity for analyze_and_profile endpoint.""" - response = client.post("/api/analyze_and_profile") - - assert response.status_code == 400 - assert "At least one of" in response.json()["detail"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_profile_creation_error( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test error handling when machine profile creation fails.""" - # Mock the Gemini vision response - analysis_response = Mock() - analysis_response.text = "Test Coffee" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - # Mock machine API failure - mock_create_profile.return_value = {"error": "Docker container not found"} - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "error" - assert response.json()["analysis"] == "Test Coffee" - assert "reply" in response.json() - assert "Docker container not found" in response.json()["message"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_exception(self, mock_vision_model, client): - """Test handling of unexpected exceptions.""" - # Mock an exception in model generation - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=Exception("Unexpected error occurred") - ) - - response = client.post("/analyze_and_profile", data={"user_prefs": "Default"}) - - assert response.status_code == 500 - assert "Unexpected error" in response.json()["detail"]["message"] - - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_timeout(self, mock_vision_model, client): - """Test handling of SDK timeout.""" - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=asyncio.TimeoutError() - ) - - response = client.post("/analyze_and_profile", data={"user_prefs": "Default"}) - - assert response.status_code == 504 - assert "timed out" in response.json()["detail"]["message"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_image_processing_error( - self, mock_vision_model, client - ): - """Test error when image processing fails.""" - # Mock an exception in vision model - mock_vision_model.return_value.generate_content.side_effect = Exception( - "Vision API error" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=Exception("Vision API error") - ) - - # Send invalid image data - invalid_data = BytesIO(b"not an image") - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.txt", invalid_data, "text/plain")}, - ) - - assert response.status_code == 500 - assert "error" in response.json()["detail"]["status"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_llm_silent_failure(self, mock_vision_model, client): - """Test that missing profile JSON in model output is treated as failure.""" - profile_response = Mock() - profile_response.text = ( - "I've hit a roadblock trying to create this profile. " - "The validation system returned conflicting errors that I couldn't resolve. " - "Could you try again with slightly different parameters?" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Berry, Florals, Medium Body"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "error" - assert "validation errors" in data["message"] - assert "reply" in data # The LLM's failure explanation is still included - assert "hit a roadblock" in data["reply"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_llm_silent_failure_empty_output( - self, mock_vision_model, client - ): - """Test detection of empty LLM output as a failure.""" - profile_response = Mock() - profile_response.text = "" - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post("/analyze_and_profile", data={"user_prefs": "Default"}) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "error" - assert "validation errors" in data["message"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_llm_silent_failure_includes_history( - self, mock_vision_model, client - ): - """Test failed attempts without profile JSON are still saved to history.""" - profile_response = Mock() - profile_response.text = "I couldn't create the profile due to errors." - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post("/analyze_and_profile", data={"user_prefs": "Default"}) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "error" - assert "history_id" in data # Failed attempts are still saved to history - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_various_preferences( - self, - mock_vision_model, - mock_create_profile, - mock_save_history, - client, - sample_image, - ): - """Test profile creation with different user preferences.""" - # Mock history saving - mock_save_history.return_value = {"id": "test-multi"} - mock_create_profile.return_value = {"id": "machine-multi"} - - analysis_response = Mock() - analysis_response.text = "Test Coffee" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] * 4 - ) - - preferences = [ - "Strong and intense", - "Mild and smooth", - "Default settings", - "Quick extraction", - ] - - for pref in preferences: - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - data={"user_prefs": pref}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - assert mock_create_profile.await_count == 4 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_sdk_create_called( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test SDK path calls machine create API instead of subprocess.""" - mock_create_profile.return_value = {"id": "machine-sdk"} - analysis_response = Mock() - analysis_response.text = "Test Coffee" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_and_profile_special_characters( - self, mock_vision_model, mock_create_profile, mock_save_history, client - ): - """Test handling of special characters in input.""" - # Mock history saving - mock_save_history.return_value = {"id": "test-special"} - mock_create_profile.return_value = {"id": "machine-special"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", - data={"user_prefs": "Extra-strong & 'special' \"roast\""}, - ) - - assert response.status_code == 200 - assert response.json()["status"] == "success" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_and_profile_returns_409_when_locked(self, client): - """Test that a concurrent request returns 409 when generation is in progress.""" - from api.routes import coffee as coffee_module - - # Simulate the lock being held by another request - with patch.object( - coffee_module._profile_generation_lock, "locked", return_value=True - ): - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Some espresso"} - ) - - assert response.status_code == 409 - body = response.json() - assert body["status"] == "busy" - assert "already being generated" in body["message"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_analyze_and_profile_409_with_api_prefix(self, client): - """Test that the /api/ prefixed route also returns 409 when locked.""" - from api.routes import coffee as coffee_module - - with patch.object( - coffee_module._profile_generation_lock, "locked", return_value=True - ): - response = client.post( - "/api/analyze_and_profile", data={"user_prefs": "Some espresso"} - ) - - assert response.status_code == 409 - assert response.json()["status"] == "busy" - - -class TestHealthAndStartup: - """Tests for application health and startup.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_app_imports_successfully(self): - """Test that the app can be imported without errors.""" - from main import app - - assert app is not None - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_fastapi_app_initialization(self, client): - """Test that FastAPI app initializes correctly.""" - # Try to access the OpenAPI schema - response = client.get("/openapi.json") - assert response.status_code == 200 - - # Verify our endpoints are registered - openapi_data = response.json() - assert "/analyze_coffee" in openapi_data["paths"] - assert "/analyze_and_profile" in openapi_data["paths"] - - -class TestEdgeCases: - """Tests for edge cases and boundary conditions.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_large_image(self, mock_vision_model, client): - """Test handling of large images.""" - mock_response = Mock() - mock_response.text = "Analysis result" - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - # Create a larger image - img = Image.new("RGB", (4000, 3000), color="green") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_bytes.seek(0) - - response = client.post( - "/analyze_coffee", files={"file": ("large.png", img_bytes, "image/png")} - ) - - assert response.status_code == 200 - assert "analysis" in response.json() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_analyze_coffee_very_long_response( - self, mock_vision_model, client, sample_image - ): - """Test handling of very long AI responses.""" - mock_response = Mock() - mock_response.text = "A" * 10000 # Very long response - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - response = client.post( - "/analyze_coffee", files={"file": ("test.png", sample_image, "image/png")} - ) - - assert response.status_code == 200 - assert len(response.json()["analysis"]) == 10000 - - -@pytest.mark.usefixtures("mock_validate_profile") -class TestEnhancedBaristaPersona: - """Tests for enhanced barista persona and profile creation features.""" - - PROFILE_REPLY = ( - "**Profile Created:** Test Profile\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Test Profile","stages":[],"variables":[]}\n' - "```\n" - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_modern_barista_persona( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test that the prompt includes the modern experimental barista persona.""" - mock_create_profile.return_value = {"id": "persona-1"} - analysis_response = Mock() - analysis_response.text = "Ethiopian Coffee, Light Roast" - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - ) - - # Verify the prompt contains persona elements - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - - assert "PERSONA:" in prompt - assert "modern, experimental barista" in prompt - assert "espresso profiling" in prompt - assert "creative" in prompt or "puns" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_complex_profile_support( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes instructions for complex profile creation.""" - mock_create_profile.return_value = {"id": "persona-2"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test preferences"}) - - # Verify the prompt includes complex profile guidelines - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert "PROFILE CREATION GUIDELINES:" in prompt - assert "multi-stage extraction" in prompt - assert "pre-infusion" in prompt - assert "blooming" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_naming_convention( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes witty naming convention instructions.""" - mock_create_profile.return_value = {"id": "persona-3"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Strong espresso"}) - - # Verify the prompt includes naming guidelines - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert "NAMING CONVENTION:" in prompt - assert "witty" in prompt or "pun" in prompt - assert "Examples:" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_user_summary_instructions( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes instructions for post-creation user summary.""" - mock_create_profile.return_value = {"id": "persona-4"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test"}) - - # Verify the prompt includes user summary requirements - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert "user summary" in prompt - assert "Profile Name" in prompt or "Description" in prompt - assert "Preparation" in prompt - assert "Design Rationale" in prompt or "Why This Works" in prompt - assert "Special Requirements" in prompt or "Special Notes" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_output_format( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes the output format template.""" - mock_create_profile.return_value = {"id": "persona-5"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test"}) - - # Verify the prompt includes output format - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert "OUTPUT FORMAT (use this exact format):" in prompt - assert "Profile Created:" in prompt - assert "Description:" in prompt - assert "Preparation:" in prompt - assert "Why This Works:" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_validation_rules( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes validation rules to prevent MCP rejections.""" - mock_create_profile.return_value = {"id": "persona-6"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test"}) - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - # Verify validation rules are present (distilled mode is the default) - assert "VALIDATION RULES" in prompt - assert "PARADOX" in prompt - assert "BACKUP TRIGGER" in prompt - assert "CROSS-TYPE LIMITS" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_error_recovery( - self, mock_vision_model, mock_create_profile, client - ): - """Test that the prompt includes error recovery instructions.""" - mock_create_profile.return_value = {"id": "persona-7"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test"}) - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert "ERROR RECOVERY" in prompt - assert "Fix ALL errors in a SINGLE retry" in prompt - assert "NEVER give up" in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_distilled_mode_is_default( - self, mock_vision_model, mock_create_profile, client - ): - """Test that distilled (compact) prompt mode is the default.""" - mock_create_profile.return_value = {"id": "persona-d1"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post("/analyze_and_profile", data={"user_prefs": "Test"}) - - prompt = mock_vision_model.return_value.async_generate_content.call_args[0][0][ - 0 - ] - - # Distilled mode uses compact versions - assert "PROFILING QUICK REFERENCE" in prompt - assert "OEPF FORMAT SUMMARY" in prompt - # Should NOT contain the full verbose sections - assert "Understanding Puck Dynamics" not in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_detailed_knowledge_mode( - self, mock_vision_model, mock_create_profile, client - ): - """Test that detailed_knowledge=true includes full profiling knowledge.""" - mock_create_profile.return_value = {"id": "persona-d2"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - client.post( - "/analyze_and_profile", - data={"user_prefs": "Test", "detailed_knowledge": "true"}, - ) - - prompt = mock_vision_model.return_value.async_generate_content.call_args[0][0][ - 0 - ] - - # Full mode uses verbose versions - assert "ESPRESSO PROFILING GUIDE" in prompt - assert "Understanding Puck Dynamics" in prompt - assert "BACKUP EXIT TRIGGERS" in prompt - # Should NOT contain the compact versions - assert "PROFILING QUICK REFERENCE" not in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_enhanced_prompt_with_both_inputs( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test enhanced prompt when both image and preferences are provided.""" - mock_create_profile.return_value = {"id": "persona-8"} - analysis_response = Mock() - analysis_response.text = "Kenyan AA, Medium Roast, Berry notes" - profile_response = Mock() - profile_response.text = ( - "Profile Created: The Berry Express\n\n" - "PROFILE JSON:\n```json\n" - '{"name":"The Berry Express","stages":[],"variables":[]}\n' - "```\n" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - data={"user_prefs": "Highlight berry notes"}, - ) - - assert response.status_code == 200 - - # Verify the prompt includes all elements for both inputs - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - - # Should have coffee analysis - assert "Kenyan AA, Medium Roast, Berry notes" in prompt - # Should have user preferences - assert "Highlight berry notes" in prompt - # Should have all enhancement features - assert "PERSONA:" in prompt - assert "PROFILE CREATION GUIDELINES:" in prompt - assert "NAMING CONVENTION:" in prompt - assert "OUTPUT FORMAT (use this exact format):" in prompt - - -class TestValidationRetry: - """Tests for profile validation and retry logic (#229).""" - - VALID_PROFILE_REPLY = ( - "**Profile Created:** Retry Test\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Retry Test","stages":[{"name":"Pre-infusion",' - '"type":"flow","dynamics":{"points":[{"value":2}],"over":"time"},' - '"exit_triggers":[{"type":"time","value":10}],' - '"limits":[{"type":"pressure","value":3}]}],"variables":[]}\n' - "```\n" - ) - - INVALID_PROFILE_REPLY = ( - "**Profile Created:** Bad Profile\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Bad Profile","stages":[]}\n' - "```\n" - ) - - NO_JSON_REPLY = ( - "I had trouble creating the profile. Let me try a different approach next time." - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_validation_passes_first_try( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Test that validation passing on first attempt skips retry.""" - mock_save_history.return_value = {"id": "test-v1"} - mock_create_profile.return_value = {"id": "machine-v1"} - - valid_result = Mock() - valid_result.is_valid = True - valid_result.errors = [] - mock_validate.return_value = valid_result - - profile_response = Mock() - profile_response.text = self.VALID_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Fruity and bright"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # Vision model called once for generation, no retries - assert mock_vision_model.return_value.async_generate_content.call_count == 1 - mock_validate.assert_called_once() - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_validation_fails_then_succeeds_on_retry( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Test that a validation failure triggers retry and succeeds.""" - mock_save_history.return_value = {"id": "test-v2"} - mock_create_profile.return_value = {"id": "machine-v2"} - - # First validation fails, second passes - invalid_result = Mock() - invalid_result.is_valid = False - invalid_result.errors = [ - "Stage 'Pre-infusion': pressure stage must have a flow limit" - ] - invalid_result.error_summary.return_value = ( - "1. Stage 'Pre-infusion': pressure stage must have a flow limit" - ) - - valid_result = Mock() - valid_result.is_valid = True - valid_result.errors = [] - - mock_validate.side_effect = [invalid_result, valid_result] - - # First call: original generation, second call: fix response - gen_response = Mock() - gen_response.text = self.VALID_PROFILE_REPLY - fix_response = Mock() - fix_response.text = self.VALID_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[gen_response, fix_response] - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Clean and balanced"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # Generation + fix retry = 2 calls - assert mock_vision_model.return_value.async_generate_content.call_count == 2 - assert mock_validate.call_count == 2 - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_validation_exhausts_retries( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Test that exhausting retries still proceeds with best-effort profile.""" - mock_save_history.return_value = {"id": "test-v3"} - mock_create_profile.return_value = {"id": "machine-v3"} - - # All validation attempts fail - invalid_result = Mock() - invalid_result.is_valid = False - invalid_result.errors = ["Error that persists"] - invalid_result.error_summary.return_value = "1. Error that persists" - mock_validate.return_value = invalid_result - - gen_response = Mock() - gen_response.text = self.VALID_PROFILE_REPLY - fix_response = Mock() - fix_response.text = self.VALID_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[gen_response, fix_response, fix_response] - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Rich and bold"} - ) - - assert response.status_code == 200 - data = response.json() - # Should still proceed with best-effort profile upload - assert data["status"] == "success" - # Generation + 2 fix retries = 3 calls - assert mock_vision_model.return_value.async_generate_content.call_count == 3 - # 3 validations: initial + 2 retries - assert mock_validate.call_count == 3 - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_no_json_retries_then_fails( - self, mock_vision_model, mock_validate, mock_save_history, client - ): - """Test that missing JSON triggers retries and eventually fails.""" - mock_save_history.return_value = {"id": "test-v4"} - - # All responses lack JSON - no_json = Mock() - no_json.text = self.NO_JSON_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=no_json - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Something impossible"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "error" - assert "validation errors" in data["message"] - # Initial generation + 2 retries = 3 calls - assert mock_vision_model.return_value.async_generate_content.call_count == 3 - # validate_profile should never be called since no JSON was extracted - mock_validate.assert_not_called() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_no_json_then_json_on_retry( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Test that missing JSON on first try but found on retry succeeds.""" - mock_save_history.return_value = {"id": "test-v5"} - mock_create_profile.return_value = {"id": "machine-v5"} - - valid_result = Mock() - valid_result.is_valid = True - valid_result.errors = [] - mock_validate.return_value = valid_result - - no_json = Mock() - no_json.text = self.NO_JSON_REPLY - with_json = Mock() - with_json.text = self.VALID_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[no_json, with_json] - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Light and delicate"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # 2 calls: initial (no JSON) + retry (with JSON) - assert mock_vision_model.return_value.async_generate_content.call_count == 2 - mock_validate.assert_called_once() - mock_create_profile.assert_awaited_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_response_includes_generation_id( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Test that the response includes a generation_id for SSE tracking.""" - mock_save_history.return_value = {"id": "test-v6"} - mock_create_profile.return_value = {"id": "machine-v6"} - - valid_result = Mock() - valid_result.is_valid = True - valid_result.errors = [] - mock_validate.return_value = valid_result - - profile_response = Mock() - profile_response.text = self.VALID_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Bright acidity"} - ) - - assert response.status_code == 200 - data = response.json() - assert "generation_id" in data - assert len(data["generation_id"]) == 8 - - -class TestUnicodeEscapeInReSubFix: - """Test that re.sub replacement with Unicode JSON doesn't raise PatternError. - - Regression test for a bug where json.dumps output containing \\uXXXX - sequences caused re.PatternError('bad escape \\u') when used directly - as the replacement string in re.sub(). - """ - - # Profile with Unicode characters that produce \uXXXX in json.dumps - UNICODE_PROFILE_REPLY = ( - "**Profile Created:** Café Résumé\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Caf\\u00e9 R\\u00e9sum\\u00e9","stages":[{"name":"Pre-infusion",' - '"type":"flow","dynamics":{"points":[{"value":2}],"over":"time"},' - '"exit_triggers":[{"type":"time","value":10}],' - '"limits":[{"type":"pressure","value":3}]}],"variables":[]}\n' - "```\n" - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.save_to_history") - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.validate_profile") - @patch("api.routes.coffee.get_vision_model") - def test_unicode_in_fixed_json_does_not_raise( - self, - mock_vision_model, - mock_validate, - mock_create_profile, - mock_save_history, - client, - ): - """Validation fix path replaces JSON with unicode chars without error.""" - mock_save_history.return_value = {"id": "test-unicode"} - mock_create_profile.return_value = {"id": "machine-unicode"} - - # First validation fails, second passes — forces the re.sub code path - invalid_result = Mock() - invalid_result.is_valid = False - invalid_result.errors = ["Stage missing limit"] - invalid_result.error_summary.return_value = "1. Stage missing limit" - - valid_result = Mock() - valid_result.is_valid = True - valid_result.errors = [] - - mock_validate.side_effect = [invalid_result, valid_result] - - gen_response = Mock() - gen_response.text = self.UNICODE_PROFILE_REPLY - fix_response = Mock() - fix_response.text = self.UNICODE_PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[gen_response, fix_response] - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Test unicode handling"} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # The re.sub path was exercised (2 model calls = generation + fix) - assert mock_vision_model.return_value.async_generate_content.call_count == 2 - - -@pytest.mark.usefixtures("mock_validate_profile") -class TestAdvancedCustomization: - """Tests for advanced_customization parameter functionality.""" - - PROFILE_REPLY = ( - "**Profile Created:** Test Profile\n\n" - "PROFILE JSON:\n" - "```json\n" - '{"name":"Test Profile","stages":[],"variables":[]}\n' - "```\n" - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_parameter_parsed( - self, mock_vision_model, mock_create_profile, client - ): - """Test that advanced_customization parameter is correctly parsed.""" - mock_create_profile.return_value = {"id": "advanced-1"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - advanced_params = "Temperature: 93°C, Dose: 18g, Max Pressure: 9 bar" - - response = client.post( - "/analyze_and_profile", - data={ - "user_prefs": "Create a balanced profile", - "advanced_customization": advanced_params, - }, - ) - - assert response.status_code == 200 - - # Verify the parameter was parsed and included in the prompt - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - assert advanced_params in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_includes_advanced_customization_when_provided( - self, mock_vision_model, mock_create_profile, client - ): - """Test that prompt includes advanced customization section when provided.""" - mock_create_profile.return_value = {"id": "advanced-2"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - advanced_params = "Temperature: 93°C, Dose: 18g, Max Pressure: 9 bar" - - response = client.post( - "/analyze_and_profile", - data={ - "user_prefs": "Create a balanced profile", - "advanced_customization": advanced_params, - }, - ) - - assert response.status_code == 200 - - # Verify the prompt includes advanced customization section - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - # Check for section header - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - in prompt - ) - # Check for the actual parameters - assert advanced_params in prompt - # Check for CRITICAL instruction - assert ( - "CRITICAL: You MUST configure the profile to use these EXACT values." - in prompt - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_prompt_omits_advanced_customization_when_not_provided( - self, mock_vision_model, mock_create_profile, client - ): - """Test that prompt omits advanced customization section when not provided.""" - mock_create_profile.return_value = {"id": "advanced-3"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", data={"user_prefs": "Create a balanced profile"} - ) - - assert response.status_code == 200 - - # Verify the prompt does NOT include advanced customization section - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - not in prompt - ) - assert ( - "CRITICAL: You MUST configure the profile to use these EXACT values." - not in prompt - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_section_formatting( - self, mock_vision_model, mock_create_profile, client - ): - """Test that advanced customization section has correct formatting.""" - mock_create_profile.return_value = {"id": "advanced-4"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - advanced_params = "Temperature: 93°C\nDose: 18g\nBasket: 18g VST" - - response = client.post( - "/analyze_and_profile", - data={"user_prefs": "Test", "advanced_customization": advanced_params}, - ) - - assert response.status_code == 200 - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - # Verify all formatting elements are present - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - in prompt - ) - assert "Temperature: 93°C" in prompt - assert "Dose: 18g" in prompt - assert "Basket: 18g VST" in prompt - assert ( - "CRITICAL: You MUST configure the profile to use these EXACT values." - in prompt - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_mandatory_instructions_included( - self, mock_vision_model, mock_create_profile, client - ): - """Test that MANDATORY instructions are included in the advanced customization section.""" - mock_create_profile.return_value = {"id": "advanced-5"} - profile_response = Mock() - profile_response.text = self.PROFILE_REPLY - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", - data={ - "user_prefs": "Test", - "advanced_customization": "Temperature: 93°C, Dose: 18g", - }, - ) - - assert response.status_code == 200 - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - # Verify all mandatory instruction bullets are present - assert ( - "• If a temperature is specified, set the profile temperature to that EXACT value" - in prompt - ) - assert ( - "• If a dose is specified, the profile MUST be designed for that EXACT dose" - in prompt - ) - assert ( - "• If max pressure/flow is specified, NO stage should exceed those limits" - in prompt - ) - assert ( - "• If basket size/type is specified, account for it in your dose and extraction design" - in prompt - ) - assert ( - "• If bottom filter is specified, mention it in preparation notes" in prompt - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_with_image( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test advanced_customization with image input.""" - mock_create_profile.return_value = {"id": "advanced-6"} - analysis_response = Mock() - analysis_response.text = "Ethiopian Yirgacheffe, Light Roast, Floral notes" - profile_response = Mock() - profile_response.text = ( - "Profile Created: Floral Fantasy\n\n" - "PROFILE JSON:\n```json\n" - '{"name":"Floral Fantasy","stages":[],"variables":[]}\n' - "```\n" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - advanced_params = "Temperature: 94°C, Dose: 20g" - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - data={"advanced_customization": advanced_params}, - ) - - assert response.status_code == 200 - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - - # Should have coffee analysis - assert "Ethiopian Yirgacheffe, Light Roast, Floral notes" in prompt - # Should have advanced customization - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - in prompt - ) - assert advanced_params in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_with_user_prefs( - self, mock_vision_model, mock_create_profile, client - ): - """Test advanced_customization with user preferences.""" - mock_create_profile.return_value = {"id": "advanced-7"} - profile_response = Mock() - profile_response.text = ( - "Profile Created: Precise Pour\n\n" - "PROFILE JSON:\n```json\n" - '{"name":"Precise Pour","stages":[],"variables":[]}\n' - "```\n" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - advanced_params = "Max Flow: 4 ml/s, Bottom Filter: IMS Superfine" - user_prefs = "Emphasize clarity and sweetness" - - response = client.post( - "/analyze_and_profile", - data={"user_prefs": user_prefs, "advanced_customization": advanced_params}, - ) - - assert response.status_code == 200 - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args[0][0] - ) - prompt = prompt_payload[0] - - # Should have user preferences - assert user_prefs in prompt - # Should have advanced customization - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - in prompt - ) - assert advanced_params in prompt - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_advanced_customization_with_image_and_user_prefs( - self, mock_vision_model, mock_create_profile, client, sample_image - ): - """Test advanced_customization with both image and user preferences.""" - mock_create_profile.return_value = {"id": "advanced-8"} - analysis_response = Mock() - analysis_response.text = "Kenyan AA, Medium Roast, Berry notes" - profile_response = Mock() - profile_response.text = ( - "Profile Created: Berry Bomb\n\n" - "PROFILE JSON:\n```json\n" - '{"name":"Berry Bomb","stages":[],"variables":[]}\n' - "```\n" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - side_effect=[analysis_response, profile_response] - ) - - advanced_params = "Temperature: 92°C, Dose: 18g, Max Pressure: 8 bar" - user_prefs = "Highlight berry notes with gentle extraction" - - response = client.post( - "/analyze_and_profile", - files={"file": ("test.png", sample_image, "image/png")}, - data={"user_prefs": user_prefs, "advanced_customization": advanced_params}, - ) - - assert response.status_code == 200 - - prompt_payload = ( - mock_vision_model.return_value.async_generate_content.call_args_list[-1][0][ - 0 - ] - ) - prompt = prompt_payload[0] - - # Should have coffee analysis - assert "Kenyan AA, Medium Roast, Berry notes" in prompt - # Should have user preferences - assert user_prefs in prompt - # Should have advanced customization - assert ( - "⚠️ MANDATORY EQUIPMENT & EXTRACTION PARAMETERS (MUST BE USED EXACTLY):" - in prompt - ) - assert advanced_params in prompt - # Should have all mandatory instructions - assert ( - "CRITICAL: You MUST configure the profile to use these EXACT values." - in prompt - ) - - -class TestCORS: - """Tests for CORS middleware configuration.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.get_vision_model") - def test_cors_headers_on_analyze_coffee( - self, mock_vision_model, client, sample_image - ): - """Test that CORS headers are present on /analyze_coffee responses.""" - mock_response = Mock() - mock_response.text = "Test coffee" - mock_vision_model.return_value.generate_content.return_value = mock_response - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=mock_response - ) - - response = client.post( - "/analyze_coffee", - files={"file": ("test.png", sample_image, "image/png")}, - headers={"Origin": "http://localhost:3000"}, - ) - - assert response.status_code == 200 - # Check for CORS headers - assert "access-control-allow-origin" in response.headers - assert response.headers["access-control-allow-origin"] == "*" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.coffee.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.coffee.get_vision_model") - def test_cors_headers_on_analyze_and_profile( - self, mock_vision_model, mock_create_profile, client - ): - """Test that CORS headers are present on /analyze_and_profile responses.""" - mock_create_profile.return_value = {"id": "cors-1"} - profile_response = Mock() - profile_response.text = ( - "**Profile Created:** Test Profile\n\n" - "PROFILE JSON:\n```json\n" - '{"name":"Test Profile","stages":[],"variables":[]}\n' - "```\n" - ) - mock_vision_model.return_value.async_generate_content = AsyncMock( - return_value=profile_response - ) - - response = client.post( - "/analyze_and_profile", - data={"user_prefs": "Test"}, - headers={"Origin": "http://localhost:3000"}, - ) - - assert response.status_code == 200 - # Check for CORS headers - assert "access-control-allow-origin" in response.headers - assert response.headers["access-control-allow-origin"] == "*" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_cors_preflight_request(self, client): - """Test CORS preflight OPTIONS request.""" - response = client.options( - "/analyze_coffee", - headers={ - "Origin": "http://localhost:3000", - "Access-Control-Request-Method": "POST", - "Access-Control-Request-Headers": "content-type", - }, - ) - - # Preflight requests should return 200 - assert response.status_code == 200 - # Check CORS headers on preflight response - assert "access-control-allow-origin" in response.headers - assert "access-control-allow-methods" in response.headers - assert "access-control-allow-headers" in response.headers - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_cors_allows_credentials(self, client): - """Test that CORS does not send credentials header with wildcard origin. - - Browsers reject allow_origins='*' combined with allow_credentials=True - per the CORS spec, so credentials must be disabled when using wildcard. - """ - response = client.options( - "/analyze_and_profile", - headers={ - "Origin": "http://localhost:3000", - "Access-Control-Request-Method": "POST", - }, - ) - - assert response.status_code == 200 - # With allow_origins=["*"], credentials must not be sent - assert response.headers.get("access-control-allow-credentials") != "true" - - -class TestStatusEndpoint: - """Tests for the /api/status endpoint (GitHub Releases API).""" - - @pytest.fixture(autouse=True) - def clear_update_cache(self): - """Clear the update cache between tests.""" - import api.routes.system as sys_module - - sys_module._update_cache = None - sys_module._update_cache_time = None - yield - sys_module._update_cache = None - sys_module._update_cache_time = None - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_status_endpoint_exists(self, mock_client_cls, mock_version, client): - """Test that /api/status endpoint exists and is accessible.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - {"tag_name": "v2.0.0", "html_url": "", "prerelease": False} - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/status") - assert response.status_code == 200 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_status_returns_json_structure(self, mock_client_cls, mock_version, client): - """Test that /api/status returns expected JSON structure.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - {"tag_name": "v2.0.0", "html_url": "", "prerelease": False} - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/status") - assert response.status_code == 200 - data = response.json() - assert "update_available" in data - assert isinstance(data["update_available"], bool) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="1.0.0") - @patch("httpx.AsyncClient") - def test_status_detects_updates_available( - self, mock_client_cls, mock_version, client - ): - """Test that /api/status correctly identifies when updates are available.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - {"tag_name": "v2.0.0", "html_url": "", "prerelease": False} - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/status") - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is True - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_status_no_updates(self, mock_client_cls, mock_version, client): - """Test /api/status when already on latest version.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - {"tag_name": "v2.0.0", "html_url": "", "prerelease": False} - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/status") - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is False - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_status_handles_github_error(self, mock_client_cls, mock_version, client): - """Test that /api/status handles GitHub API errors gracefully.""" - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(side_effect=Exception("Connection refused")) - mock_client_cls.return_value = mock_client - - response = client.get("/api/status") - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is False - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_status_endpoint_cors_enabled(self, mock_client_cls, mock_version, client): - """Test that /api/status endpoint has CORS enabled for web app.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - {"tag_name": "v2.0.0", "html_url": "", "prerelease": False} - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get( - "/api/status", headers={"Origin": "http://localhost:3550"} - ) - - assert response.status_code == 200 - assert "access-control-allow-origin" in response.headers - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_status_in_openapi_schema(self, client): - """Test that /api/status endpoint is registered in OpenAPI schema.""" - response = client.get("/openapi.json") - assert response.status_code == 200 - - openapi_data = response.json() - assert "/api/status" in openapi_data["paths"] - assert "get" in openapi_data["paths"]["/api/status"] - - -class TestTriggerUpdateEndpoint: - """Tests for the /api/trigger-update endpoint (Watchtower-based).""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("httpx.AsyncClient") - def test_trigger_update_watchtower_success(self, mock_client_cls, client): - """Test successful update trigger via Watchtower HTTP API.""" - mock_response = AsyncMock() - mock_response.status_code = 200 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.post = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/trigger-update") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert "watchtower" in data["message"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("httpx.AsyncClient") - def test_trigger_update_watchtower_401(self, mock_client_cls, client): - """Test update trigger when Watchtower returns 401 (no token).""" - mock_response = AsyncMock() - mock_response.status_code = 401 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.post = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/trigger-update") - - assert response.status_code == 503 - data = response.json() - assert data["detail"]["status"] == "error" - assert "rejected" in data["detail"]["message"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("httpx.AsyncClient") - def test_trigger_update_no_watchtower(self, mock_client_cls, client): - """Test update trigger when Watchtower is not available.""" - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.post = AsyncMock(side_effect=Exception("Connection refused")) - mock_client_cls.return_value = mock_client - - response = client.post("/api/trigger-update") - - assert response.status_code == 503 - data = response.json() - assert "detail" in data - assert "watchtower" in data["detail"]["error"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("httpx.AsyncClient") - def test_trigger_update_cors_enabled(self, mock_client_cls, client): - """Test that /api/trigger-update has CORS enabled.""" - mock_response = AsyncMock() - mock_response.status_code = 200 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.post = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post( - "/api/trigger-update", headers={"Origin": "http://localhost:3550"} - ) - - assert response.status_code == 200 - assert "access-control-allow-origin" in response.headers - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_trigger_update_in_openapi_schema(self, client): - """Test that /api/trigger-update endpoint is registered in OpenAPI schema.""" - response = client.get("/openapi.json") - assert response.status_code == 200 - - openapi_data = response.json() - assert "/api/trigger-update" in openapi_data["paths"] - assert "post" in openapi_data["paths"]["/api/trigger-update"] - - -class TestUpdateMethodEndpoint: - """Tests for the /api/update-method endpoint.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.system._probe_watchtower_api", new_callable=AsyncMock) - def test_update_method_watchtower_reachable(self, mock_probe, client): - """Returns watchtower mode when API is reachable via any probe endpoint.""" - mock_probe.return_value = { - "reachable": True, - "can_trigger": False, - "endpoint": "http://watchtower:8080/v1/update", - "status_code": 401, - "error": None, - } - - response = client.get("/api/update-method") - - assert response.status_code == 200 - data = response.json() - assert data["method"] == "watchtower" - assert data["watchtower_running"] is True - assert data["can_trigger_update"] is False - assert data["watchtower_endpoint"] == "http://watchtower:8080/v1/update" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("subprocess.run") - @patch("api.routes.system._probe_watchtower_api", new_callable=AsyncMock) - def test_update_method_reports_container_error( - self, mock_probe, mock_subprocess_run, client - ): - """Surfaces watchtower container startup failures in response diagnostics.""" - mock_probe.return_value = { - "reachable": False, - "can_trigger": False, - "endpoint": None, - "status_code": None, - "error": "http://localhost:8088/v1/update: connection refused", - } - - mock_result = Mock() - mock_result.returncode = 0 - mock_result.stdout = "created|failed to bind host port 127.0.0.1:8088/tcp: address already in use" - mock_subprocess_run.return_value = mock_result - - response = client.get("/api/update-method") - - assert response.status_code == 200 - data = response.json() - assert data["method"] == "manual" - assert data["watchtower_running"] is False - assert data["can_trigger_update"] is False - assert "address already in use" in data["watchtower_error"] - - @patch.dict( - os.environ, - {"GEMINI_API_KEY": "test_api_key", "WATCHTOWER_TOKEN": "test-token-123"}, - ) - @patch("httpx.AsyncClient") - def test_update_method_sends_auth_header_when_token_set( - self, mock_client_cls, client - ): - """Sends Authorization header when WATCHTOWER_TOKEN env var is set.""" - mock_response = AsyncMock() - mock_response.status_code = 200 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/update-method") - - assert response.status_code == 200 - data = response.json() - assert data["method"] == "watchtower" - assert data["watchtower_running"] is True - assert data["can_trigger_update"] is True - - # Verify the auth header was sent - call_kwargs = mock_client.get.call_args - assert call_kwargs is not None - assert ( - call_kwargs.kwargs.get("headers", {}).get("Authorization") - == "Bearer test-token-123" - ) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}, clear=False) - @patch("httpx.AsyncClient") - def test_update_method_no_auth_header_without_token(self, mock_client_cls, client): - """Does not send Authorization header when WATCHTOWER_TOKEN is unset.""" - # Ensure WATCHTOWER_TOKEN is not in environment - import os as _os - - _os.environ.pop("WATCHTOWER_TOKEN", None) - - mock_response = AsyncMock() - mock_response.status_code = 401 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.get("/api/update-method") - - assert response.status_code == 200 - data = response.json() - assert data["method"] == "watchtower" - assert data["watchtower_running"] is True - assert data["can_trigger_update"] is False - - # Verify no auth header was sent - call_kwargs = mock_client.get.call_args - assert call_kwargs is not None - assert call_kwargs.kwargs.get("headers", {}) == {} - - @patch.dict( - os.environ, - {"GEMINI_API_KEY": "test_api_key", "WATCHTOWER_TOKEN": "trigger-token"}, - ) - @patch("httpx.AsyncClient") - def test_trigger_update_sends_auth_header(self, mock_client_cls, client): - """Trigger-update POST sends Authorization header when token is set.""" - mock_response = AsyncMock() - mock_response.status_code = 200 - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.post = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/trigger-update") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - - # Verify the auth header was sent on POST - call_kwargs = mock_client.post.call_args - assert call_kwargs is not None - assert ( - call_kwargs.kwargs.get("headers", {}).get("Authorization") - == "Bearer trigger-token" - ) - - -class TestHistoryAPI: - """Tests for the profile history API endpoints.""" - - @pytest.fixture - def mock_history_file(self, tmp_path): - """Create a temporary history file.""" - history_file = tmp_path / "profile_history.json" - history_file.write_text("[]") - return history_file - - @pytest.fixture - def sample_history_entry(self): - """Create a sample history entry.""" - return { - "id": "test-entry-123", - "created_at": "2026-01-18T10:00:00+00:00", - "profile_name": "Ethiopian Sunrise", - "coffee_analysis": "Light roast with floral notes", - "user_preferences": "Light Body with Florals", - "reply": "Profile Created: Ethiopian Sunrise\n\nDescription: A bright and floral profile...", - "profile_json": {"name": "Ethiopian Sunrise", "stages": []}, - "image_preview": None, - } - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_empty(self, mock_load, client): - """Test getting history when it's empty.""" - mock_load.return_value = [] - - response = client.get("/api/history") - - assert response.status_code == 200 - data = response.json() - assert data["entries"] == [] - assert data["total"] == 0 - assert data["limit"] == 50 - assert data["offset"] == 0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_with_entries(self, mock_load, client, sample_history_entry): - """Test getting history with existing entries.""" - mock_load.return_value = [sample_history_entry] - - response = client.get("/api/history") - - assert response.status_code == 200 - data = response.json() - assert len(data["entries"]) == 1 - assert data["entries"][0]["profile_name"] == "Ethiopian Sunrise" - assert data["total"] == 1 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_pagination(self, mock_load, client, sample_history_entry): - """Test history pagination with limit and offset.""" - # Create multiple entries - entries = [] - for i in range(10): - entry = sample_history_entry.copy() - entry["id"] = f"entry-{i}" - entry["profile_name"] = f"Profile {i}" - entries.append(entry) - mock_load.return_value = entries - - # Test with custom limit and offset - response = client.get("/api/history?limit=3&offset=2") - - assert response.status_code == 200 - data = response.json() - assert len(data["entries"]) == 3 - assert data["total"] == 10 - assert data["limit"] == 3 - assert data["offset"] == 2 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_removes_image_preview( - self, mock_load, client, sample_history_entry - ): - """Test that image_preview is removed from list view.""" - entry = sample_history_entry.copy() - entry["image_preview"] = "base64-thumbnail-data" - mock_load.return_value = [entry] - - response = client.get("/api/history") - - assert response.status_code == 200 - data = response.json() - # image_preview should be None in list view - assert data["entries"][0]["image_preview"] is None - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_entry_by_id(self, mock_load, client, sample_history_entry): - """Test getting a specific history entry by ID.""" - mock_load.return_value = [sample_history_entry] - - response = client.get(f"/api/history/{sample_history_entry['id']}") - - assert response.status_code == 200 - data = response.json() - assert data["id"] == sample_history_entry["id"] - assert data["profile_name"] == "Ethiopian Sunrise" - assert data["profile_json"] is not None - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_history_entry_not_found(self, mock_load, client): - """Test 404 when history entry doesn't exist.""" - mock_load.return_value = [] - - response = client.get("/api/history/non-existent-id") - - assert response.status_code == 404 - assert "not found" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_delete_history_entry( - self, mock_load, mock_save, client, sample_history_entry - ): - """Test deleting a specific history entry.""" - mock_load.return_value = [sample_history_entry] - - response = client.delete(f"/api/history/{sample_history_entry['id']}") - - assert response.status_code == 200 - assert response.json()["status"] == "success" - # Verify save was called with empty list - mock_save.assert_called_once_with([]) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_delete_history_entry_not_found(self, mock_load, client): - """Test 404 when deleting non-existent entry.""" - mock_load.return_value = [] - - response = client.delete("/api/history/non-existent-id") - - assert response.status_code == 404 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_clear_history(self, mock_load, mock_save, client, sample_history_entry): - """Test clearing all history.""" - mock_load.return_value = [sample_history_entry] - - response = client.delete("/api/history") - - assert response.status_code == 200 - assert response.json()["status"] == "success" - assert "cleared" in response.json()["message"].lower() - mock_save.assert_called_once_with([]) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_profile_json(self, mock_load, client, sample_history_entry): - """Test getting profile JSON for download.""" - mock_load.return_value = [sample_history_entry] - - response = client.get(f"/api/history/{sample_history_entry['id']}/json") - - assert response.status_code == 200 - assert response.json()["name"] == "Ethiopian Sunrise" - assert "content-disposition" in response.headers - assert "ethiopian-sunrise.json" in response.headers["content-disposition"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_profile_json_not_available( - self, mock_load, client, sample_history_entry - ): - """Test 404 when profile JSON is not available.""" - entry = sample_history_entry.copy() - entry["profile_json"] = None - mock_load.return_value = [entry] - - response = client.get(f"/api/history/{sample_history_entry['id']}/json") - - assert response.status_code == 404 - assert "not available" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_get_profile_json_entry_not_found(self, mock_load, client): - """Test 404 when entry doesn't exist for JSON download.""" - mock_load.return_value = [] - - response = client.get("/api/history/non-existent-id/json") - - assert response.status_code == 404 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_cleans_markdown_artifacts( - self, mock_load, mock_save, client - ): - """Test that migration successfully cleans profile names with markdown artifacts.""" - # Create entries with various markdown artifacts - history_with_artifacts = [ - { - "id": "entry-1", - "profile_name": "**Bold Profile**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-2", - "profile_name": "*Italic Profile*", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-3", - "profile_name": "**Bold Only**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-4", - "profile_name": "** Spaces After Marker**", # Tests handling spaces after opening marker - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-5", - "profile_name": "Clean Profile", # No artifacts - "created_at": "2026-01-01T10:00:00+00:00", - }, - ] - mock_load.return_value = history_with_artifacts - - response = client.post("/api/history/migrate") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["fixed_count"] == 4 # 4 entries had artifacts - - # Verify save was called with cleaned names - mock_save.assert_called_once() - saved_history = mock_save.call_args[0][0] - assert saved_history[0]["profile_name"] == "Bold Profile" - assert saved_history[1]["profile_name"] == "Italic Profile" - assert saved_history[2]["profile_name"] == "Bold Only" - assert saved_history[3]["profile_name"] == "Spaces After Marker" - assert saved_history[4]["profile_name"] == "Clean Profile" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_returns_correct_count(self, mock_load, mock_save, client): - """Test that migration returns correct count of fixed entries.""" - history_with_some_artifacts = [ - { - "id": "1", - "profile_name": "**Fixed 1**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "2", - "profile_name": "Clean", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "3", - "profile_name": "**Fixed 2**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "4", - "profile_name": "Also Clean", - "created_at": "2026-01-01T10:00:00+00:00", - }, - ] - mock_load.return_value = history_with_some_artifacts - - response = client.post("/api/history/migrate") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["fixed_count"] == 2 - assert "Fixed 2 profile names" in data["message"] - - # Verify save was called since there were fixes - mock_save.assert_called_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_handles_empty_history(self, mock_load, mock_save, client): - """Test that migration handles empty history gracefully.""" - mock_load.return_value = [] - - response = client.post("/api/history/migrate") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["fixed_count"] == 0 - assert "Fixed 0 profile names" in data["message"] - - # Verify save was NOT called since there were no fixes - mock_save.assert_not_called() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_handles_missing_profile_name( - self, mock_load, mock_save, client - ): - """Test that migration handles entries without profile_name field.""" - history_with_missing_field = [ - { - "id": "entry-1", - "profile_name": "**Has Name**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-2", - # Missing profile_name field - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "entry-3", - "profile_name": "**Another Name**", - "created_at": "2026-01-01T10:00:00+00:00", - }, - ] - mock_load.return_value = history_with_missing_field - - response = client.post("/api/history/migrate") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # Should fix the 2 entries with profile_name, ignore the one without - assert data["fixed_count"] == 2 - - mock_save.assert_called_once() - saved_history = mock_save.call_args[0][0] - assert saved_history[0]["profile_name"] == "Has Name" - # Entry without profile_name field should remain without it (not modified) - assert "profile_name" not in saved_history[1] - assert saved_history[2]["profile_name"] == "Another Name" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.load_history") - def test_migrate_history_handles_errors_gracefully(self, mock_load, client): - """Test that migration handles errors gracefully.""" - # Simulate an error in _load_history - mock_load.side_effect = Exception("Database connection failed") - - response = client.post("/api/history/migrate") - - assert response.status_code == 500 - data = response.json() - assert data["detail"]["status"] == "error" - assert "Failed to migrate history" in data["detail"]["message"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_no_changes_needed(self, mock_load, mock_save, client): - """Test migration when all profile names are already clean.""" - clean_history = [ - { - "id": "1", - "profile_name": "Clean Profile 1", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "2", - "profile_name": "Clean Profile 2", - "created_at": "2026-01-01T10:00:00+00:00", - }, - { - "id": "3", - "profile_name": "Clean Profile 3", - "created_at": "2026-01-01T10:00:00+00:00", - }, - ] - mock_load.return_value = clean_history - - response = client.post("/api/history/migrate") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["fixed_count"] == 0 - - # Verify save was NOT called since no changes were made - mock_save.assert_not_called() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.history.save_history") - @patch("api.routes.history.load_history") - def test_migrate_history_save_error(self, mock_load, mock_save, client): - """Test migration handles save errors gracefully.""" - history_with_artifacts = [ - { - "id": "1", - "profile_name": "**Profile**", - "created_at": "2026-01-01T10:00:00+00:00", - } - ] - mock_load.return_value = history_with_artifacts - mock_save.side_effect = Exception("Disk full") - - response = client.post("/api/history/migrate") - - assert response.status_code == 500 - data = response.json() - assert data["detail"]["status"] == "error" - - -class TestHistoryHelperFunctions: - """Tests for history helper functions.""" - - def test_extract_profile_json_from_code_block(self): - """Test extracting profile JSON from markdown code block.""" - from services.history_service import _extract_profile_json - - reply = """Profile Created: Test Profile - -Description: A test profile - -```json -{"name": "Test Profile", "stages": [{"name": "stage1"}]} -``` -""" - result = _extract_profile_json(reply) - - assert result is not None - assert result["name"] == "Test Profile" - assert len(result["stages"]) == 1 - - def test_extract_profile_json_no_json(self): - """Test extracting when no JSON is present.""" - from services.history_service import _extract_profile_json - - reply = "Profile Created: Test Profile\n\nNo JSON here" - result = _extract_profile_json(reply) - - assert result is None - - def test_extract_profile_json_invalid_json(self): - """Test extracting when JSON is invalid.""" - from services.history_service import _extract_profile_json - - reply = """Profile Created: Test Profile - -```json -{not valid json} -``` -""" - result = _extract_profile_json(reply) - - assert result is None - - def test_extract_profile_name(self): - """Test extracting profile name from reply.""" - from services.history_service import _extract_profile_name - - reply = "Profile Created: Ethiopian Sunrise\n\nDescription: ..." - result = _extract_profile_name(reply) - - assert result == "Ethiopian Sunrise" - - def test_extract_profile_name_with_bold_format(self): - """Test extracting profile name when label uses **bold** format.""" - from services.history_service import _extract_profile_name - - reply = "**Profile Created:** Berry Blast Bloom\n\nDescription: ..." - result = _extract_profile_name(reply) - - assert result == "Berry Blast Bloom" - - def test_extract_profile_name_cleans_leading_asterisks(self): - """Test that leading ** are cleaned from profile name.""" - from services.history_service import _extract_profile_name - - # This simulates the case where regex captures ** as part of the name - reply = "**Profile Created:** ** Berry Blast Bloom\n\nDescription: ..." - result = _extract_profile_name(reply) - - assert result == "Berry Blast Bloom" - - def test_clean_profile_name(self): - """Test cleaning markdown from profile names.""" - from utils.sanitization import clean_profile_name - - assert clean_profile_name("** Berry Blast Bloom") == "Berry Blast Bloom" - assert clean_profile_name("Berry Blast Bloom **") == "Berry Blast Bloom" - assert clean_profile_name("**Berry** Bloom") == "Berry Bloom" - assert clean_profile_name("* test *") == "test" - assert clean_profile_name("Normal Name") == "Normal Name" - - def test_extract_profile_name_not_found(self): - """Test default name when pattern not found.""" - from services.history_service import _extract_profile_name - - reply = "Some reply without profile name" - result = _extract_profile_name(reply) - - assert result == "Untitled Profile" - - def test_extract_profile_name_case_insensitive(self): - """Test that extraction is case-insensitive.""" - from services.history_service import _extract_profile_name - - reply = "profile created: lowercase Name\n\nDescription: ..." - result = _extract_profile_name(reply) - - assert result == "lowercase Name" - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history") - def test_save_to_history(self, mock_load, mock_save): - """Test saving a profile to history.""" - from services.history_service import save_to_history - - mock_load.return_value = [] - - reply = """Profile Created: Test Profile - -Description: A test profile - -```json -{"name": "Test Profile", "stages": []} -``` -""" - entry = save_to_history( - coffee_analysis="Test analysis", user_prefs="Light Body", reply=reply - ) - - assert entry["profile_name"] == "Test Profile" - assert entry["coffee_analysis"] == "Test analysis" - assert entry["user_preferences"] == "Light Body" - assert entry["profile_json"] is not None - assert "id" in entry - assert "created_at" in entry - - # Verify save was called with the new entry - mock_save.assert_called_once() - saved_history = mock_save.call_args[0][0] - assert len(saved_history) == 1 - assert saved_history[0]["id"] == entry["id"] - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history") - def test_save_to_history_limits_entries(self, mock_load, mock_save): - """Test that history is limited to 100 entries.""" - from services.history_service import save_to_history - - # Create 100 existing entries - existing_entries = [{"id": f"entry-{i}"} for i in range(100)] - mock_load.return_value = existing_entries - - save_to_history( - coffee_analysis=None, - user_prefs="Test", - reply="Profile Created: New Profile", - ) - - # Verify save was called - mock_save.assert_called_once() - saved_history = mock_save.call_args[0][0] - - # Should still be 100 entries (oldest removed) - assert len(saved_history) == 100 - # New entry should be first - assert saved_history[0]["profile_name"] == "New Profile" - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history") - def test_save_to_history_new_entry_first(self, mock_load, mock_save): - """Test that new entries are added at the beginning.""" - from services.history_service import save_to_history - - existing = [{"id": "old-entry", "profile_name": "Old Profile"}] - mock_load.return_value = existing - - save_to_history( - coffee_analysis=None, user_prefs=None, reply="Profile Created: New Profile" - ) - - mock_save.assert_called_once() - saved_history = mock_save.call_args[0][0] - - assert len(saved_history) == 2 - assert saved_history[0]["profile_name"] == "New Profile" - assert saved_history[1]["id"] == "old-entry" - - -class TestSecurityFeatures: - """Tests for security features added to prevent vulnerabilities.""" - - # Test constants - TEST_SIZE_EXCESS = 1000 # Bytes to exceed limits in tests - - def testsanitize_profile_name_for_filename(self): - """Test that profile names are properly sanitized for filenames.""" - from utils.sanitization import sanitize_profile_name_for_filename - - # Test path traversal attempts - assert ".." not in sanitize_profile_name_for_filename("../../etc/passwd") - assert "/" not in sanitize_profile_name_for_filename("path/to/file") - assert "\\" not in sanitize_profile_name_for_filename("path\\to\\file") - - # Test special characters are removed/replaced - result = sanitize_profile_name_for_filename("Profile: Test & Name!") - assert ":" not in result - assert "&" not in result - assert "!" not in result - - # Test spaces are replaced with underscores - assert sanitize_profile_name_for_filename("My Profile") == "my_profile" - - # Test length limiting - long_name = "a" * 300 - result = sanitize_profile_name_for_filename(long_name) - assert len(result) <= 200 - - def test_get_cached_image_prevents_path_traversal(self): - """Test that _get_cached_image prevents path traversal attacks.""" - from pathlib import Path - import tempfile - import shutil - - # Create a temporary test cache directory - temp_dir = tempfile.mkdtemp() - cache_dir = Path(temp_dir) / "test_cache" - cache_dir.mkdir(parents=True, exist_ok=True) - - # Patch IMAGE_CACHE_DIR to use our temp directory - with patch("services.cache_service.IMAGE_CACHE_DIR", cache_dir): - # Attempt path traversal - should return None safely - result = _get_cached_image("../../etc/passwd") - assert result is None - - # Also test other path traversal attempts - result = _get_cached_image("../../../root") - assert result is None - - # Clean up - shutil.rmtree(temp_dir, ignore_errors=True) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.meticulous_service.get_meticulous_api") - def test_upload_profile_image_validates_size(self, mock_api, client): - """Test that image upload validates file size.""" - from config import MAX_UPLOAD_SIZE - - # Create a large image (simulate exceeding limit) - large_image = BytesIO(b"x" * (MAX_UPLOAD_SIZE + self.TEST_SIZE_EXCESS)) - - response = client.post( - "/api/profile/test-profile/image", - files={"file": ("test.png", large_image, "image/png")}, - ) - - assert response.status_code == 413 # Payload Too Large - assert "too large" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.meticulous_service.get_meticulous_api") - def test_upload_profile_image_validates_content_type( - self, mock_api, client, sample_image - ): - """Test that image upload validates content type.""" - response = client.post( - "/api/profile/test-profile/image", - files={"file": ("test.txt", sample_image, "text/plain")}, - ) - - assert response.status_code == 400 - assert "must be an image" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.meticulous_service.get_meticulous_api") - def test_apply_profile_image_validates_base64_size(self, mock_api, client): - """Test that apply-image endpoint validates decoded size.""" - import base64 - from config import MAX_UPLOAD_SIZE - - # Create oversized base64 data - large_data = b"x" * (MAX_UPLOAD_SIZE + self.TEST_SIZE_EXCESS) - b64_data = base64.b64encode(large_data).decode("utf-8") - data_uri = f"data:image/png;base64,{b64_data}" - - response = client.post( - "/api/profile/test-profile/apply-image", json={"image_data": data_uri} - ) - - assert response.status_code == 413 # Payload Too Large - assert "too large" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_apply_profile_image_validates_format(self, client): - """Test that apply-image endpoint validates image format.""" - # Test with invalid data URI format - response = client.post( - "/api/profile/test-profile/apply-image", - json={"image_data": "not-a-data-uri"}, - ) - - assert response.status_code == 400 - assert "invalid" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_apply_profile_image_validates_png_format(self, client): - """Test that apply-image validates it's actually PNG data.""" - import base64 - - # Create invalid PNG data (just random bytes) - fake_data = b"not-a-valid-png-image" - b64_data = base64.b64encode(fake_data).decode("utf-8") - data_uri = f"data:image/png;base64,{b64_data}" - - response = client.post( - "/api/profile/test-profile/apply-image", json={"image_data": data_uri} - ) - - assert response.status_code == 400 - assert "invalid image" in response.json()["detail"].lower() - - -class TestHelperFunctions: - """Tests for helper functions that process data.""" - - def test_safe_float_with_valid_input(self): - """Test _safe_float with valid float.""" - from services.analysis_service import _safe_float - - assert _safe_float(3.14) == 3.14 - assert _safe_float("5.5") == 5.5 - assert _safe_float(10) == 10.0 - - def test_safe_float_with_invalid_input(self): - """Test _safe_float with invalid input uses default.""" - from services.analysis_service import _safe_float - - assert _safe_float("invalid", default=0.0) == 0.0 - assert _safe_float(None, default=1.5) == 1.5 - assert _safe_float({}, default=2.0) == 2.0 - - def testsanitize_profile_name_for_filename_basic(self): - """Test basic filename sanitization.""" - from utils.sanitization import sanitize_profile_name_for_filename - - # Normal name - assert sanitize_profile_name_for_filename("My Profile") == "my_profile" - - # With special characters - result = sanitize_profile_name_for_filename("Profile: Test!") - assert ":" not in result - assert "!" not in result - - def test_sanitize_profile_name_path_traversal(self): - """Test path traversal prevention in filename sanitization.""" - from utils.sanitization import sanitize_profile_name_for_filename - - # Path traversal attempts - assert ".." not in sanitize_profile_name_for_filename("../../../etc/passwd") - assert "/" not in sanitize_profile_name_for_filename("path/to/file") - assert "\\" not in sanitize_profile_name_for_filename("path\\to\\file") - - def test_extract_profile_name_from_reply(self): - """Test extraction of profile name from LLM reply.""" - from services.history_service import _extract_profile_name - - # Standard format - reply = "Profile Created: My Amazing Profile\nSome description..." - assert _extract_profile_name(reply) == "My Amazing Profile" - - # With extra whitespace - reply2 = "Profile Created: Spaced Name \nMore text" - assert _extract_profile_name(reply2).strip() == "Spaced Name" - - def test_extract_profile_name_not_found(self): - """Test profile name extraction when not found.""" - from services.history_service import _extract_profile_name - - reply = "This doesn't contain the profile marker" - assert _extract_profile_name(reply) == "Untitled Profile" - - -class TestCacheManagement: - """Tests for caching helper functions.""" - - @patch("services.cache_service.IMAGE_CACHE_DIR", Path("/tmp/test_image_cache")) - def test_ensure_image_cache_dir(self): - """Test that cache directory is created.""" - from services.cache_service import _ensure_image_cache_dir - import shutil - - # Clean up if exists - if Path("/tmp/test_image_cache").exists(): - shutil.rmtree("/tmp/test_image_cache") - - _ensure_image_cache_dir() - - assert Path("/tmp/test_image_cache").exists() - - # Clean up - shutil.rmtree("/tmp/test_image_cache", ignore_errors=True) - - @patch("services.cache_service.SHOT_CACHE_FILE", Path("/tmp/test_shot_cache.json")) - @patch("services.cache_service._load_shot_cache") - @patch("services.cache_service._save_shot_cache") - def test_set_cached_shots(self, mock_save, mock_load): - """Test setting cached shot data.""" - from services.cache_service import _set_cached_shots - - mock_load.return_value = {} - - test_data = {"shot1": {"time": 30}} - _set_cached_shots("test-profile", test_data, limit=50) - - # Verify save was called - mock_save.assert_called_once() - saved_cache = mock_save.call_args[0][0] - assert "test-profile" in saved_cache - - @patch("services.cache_service.SHOT_CACHE_FILE", Path("/tmp/test_shot_cache.json")) - @patch("services.cache_service._load_shot_cache") - def test_get_cached_shots_hit(self, mock_load): - """Test getting cached shots when cache exists.""" - from services.cache_service import _get_cached_shots - import time - - # Mock recent cache - mock_load.return_value = { - "test-profile": { - "data": {"shot1": {"time": 30}}, - "cached_at": time.time() - 100, # 100 seconds ago - "limit": 50, - } - } - - data, is_stale, age = _get_cached_shots("test-profile", limit=50) - - assert data is not None - assert data is not None - assert "shot1" in data - assert not is_stale - - @patch("services.cache_service.SHOT_CACHE_FILE", Path("/tmp/test_shot_cache.json")) - @patch("services.cache_service._load_shot_cache") - def test_get_cached_shots_miss(self, mock_load): - """Test getting cached shots when cache doesn't exist.""" - from services.cache_service import _get_cached_shots - - mock_load.return_value = {} - - data, is_stale, age = _get_cached_shots("nonexistent-profile", limit=50) - - assert data is None - assert age is None - - -class TestShotAnalysisHelpers: - """Tests for shot analysis helper functions.""" - - def test_format_dynamics_description_basic(self): - """Test formatting of stage dynamics description.""" - from services.analysis_service import _format_dynamics_description - - stage = { - "type": "pressure", - "dynamics_points": [[0, 2.0], [10, 2.5]], - "dynamics_over": "time", - } - - desc = _format_dynamics_description(stage) - - assert isinstance(desc, str) - assert isinstance(desc, str) and len(desc) > 0 - - def test_dynamics_targets_handle_nested_format(self): - """Nested dynamics (dynamics.points) must resolve like flat dynamics_points. - - Regression: 'Slayer at Home' uses nested dynamics, so a flat-only reader - returned None and mis-detected the effective control mode (#423). - """ - from services.analysis_service import ( - _max_dynamics_target, - _mean_dynamics_target, - _format_dynamics_description, - ) - - variables = [{"key": "flow_MaxFlowRate", "type": "flow", "value": 10.8}] - stage = { - "type": "flow", - "dynamics": { - "points": [[0, "$flow_MaxFlowRate"], [30, "$flow_MaxFlowRate"]], - "over": "time", - }, - } - assert _max_dynamics_target(stage, variables) == 10.8 - assert _mean_dynamics_target(stage, variables) == 10.8 - assert "10.8" in _format_dynamics_description(stage, variables) - - def test_effective_mode_pressure_for_nested_aggressive_flow(self): - """A nested aggressive-flow stage with a pressure limit is pressure-governed.""" - from services.shot_facts import effective_control_mode - from services.analysis_service import ( - _max_dynamics_target, - _mean_dynamics_target, - _format_limits, - ) - - variables = [ - {"key": "flow_MaxFlowRate", "type": "flow", "value": 10.8}, - {"key": "pressure_Max Pressure", "type": "pressure", "value": 6}, - ] - profile_stage = { - "type": "flow", - "dynamics": {"points": [[0, "$flow_MaxFlowRate"], [30, "$flow_MaxFlowRate"]]}, - "limits": [{"type": "pressure", "value": "$pressure_Max Pressure"}], - } - stage = { - "type": "flow", - "stage_type": "flow", - "profile_max_target": _max_dynamics_target(profile_stage, variables), - "profile_target_value": _mean_dynamics_target(profile_stage, variables), - "limits": _format_limits(profile_stage["limits"], variables), - } - assert effective_control_mode(stage) == "pressure" - - def test_compute_stage_stats_basic(self): - """Test computing statistics for stage telemetry.""" - from services.analysis_service import _compute_stage_stats - - entries = [ - {"time": 0, "shot": {"pressure": 8.0, "flow": 2.0}}, - {"time": 1000, "shot": {"pressure": 9.0, "flow": 2.5}}, - {"time": 2000, "shot": {"pressure": 8.5, "flow": 2.2}}, - ] - - stats = _compute_stage_stats(entries) - - assert "avg_pressure" in stats - assert stats["avg_pressure"] > 8.0 - assert stats["avg_pressure"] < 9.0 - - def test_compute_stage_stats_ignores_early_flow(self): - """Flow stats exclude the first 3.5 s to avoid retraction rush false positives.""" - from services.analysis_service import _compute_stage_stats - - entries = [ - # Early entries (< 3.5s) — huge flow spike from retraction - {"time": 500, "shot": {"pressure": 1.0, "flow": 12.0}}, - {"time": 1500, "shot": {"pressure": 2.0, "flow": 8.0}}, - {"time": 3000, "shot": {"pressure": 3.0, "flow": 6.0}}, - # After 3.5s — normal flow - {"time": 4000, "shot": {"pressure": 5.0, "flow": 2.5}}, - {"time": 6000, "shot": {"pressure": 6.0, "flow": 3.0}}, - ] - - stats = _compute_stage_stats(entries) - - # max_flow should come from the filtered set (>= 3.5s), i.e. 3.0 - assert stats["max_flow"] == 3.0 - # avg_flow should only average the two filtered entries - assert abs(stats["avg_flow"] - 2.75) < 0.01 - # start_flow and end_flow still use all entries - assert stats["start_flow"] == 12.0 - assert stats["end_flow"] == 3.0 - - def test_compute_stage_stats_all_early_falls_back(self): - """If all entries are within the first 3.5 s, flow stats use all data.""" - from services.analysis_service import _compute_stage_stats - - entries = [ - {"time": 500, "shot": {"pressure": 1.0, "flow": 10.0}}, - {"time": 2000, "shot": {"pressure": 2.0, "flow": 5.0}}, - ] - - stats = _compute_stage_stats(entries) - # No filtered data — falls back to all flows - assert stats["max_flow"] == 10.0 - - def test_format_dynamics_description_flow_type(self): - """Test with flow type.""" - from services.analysis_service import _format_dynamics_description - - stage = { - "type": "flow", - "dynamics_points": [[0, 2.0], [10, 4.0]], - "dynamics_over": "time", - } - result = _format_dynamics_description(stage) - assert "ml/s" in result - - def test_safe_float_with_string(self): - """Test _safe_float with string input.""" - from services.analysis_service import _safe_float - - assert _safe_float("42.5") == 42.5 - assert _safe_float("invalid") == 0.0 - assert _safe_float("", 5.0) == 5.0 - assert _safe_float(None, 10.0) == 10.0 - - def test_resolve_variable_basic(self): - """Test variable resolution.""" - from services.analysis_service import _resolve_variable - - variables = [ - {"key": "dose", "name": "Dose", "value": 18.0}, - {"key": "ratio", "name": "Ratio", "value": 2.0}, - ] - - value, name = _resolve_variable("$dose", variables) - assert value == 18.0 - assert name == "Dose" - - def test_resolve_variable_not_found(self): - """Test variable resolution when variable not found.""" - from services.analysis_service import _resolve_variable - - variables = [] - value, name = _resolve_variable("$unknown", variables) - assert value == "$unknown" - assert name == "unknown" - - def test_resolve_variable_not_variable(self): - """Test resolution of non-variable value.""" - from services.analysis_service import _resolve_variable - - value, name = _resolve_variable(42.0, []) - assert value == 42.0 - assert name is None - - def test_format_exit_triggers_basic(self): - """Test exit trigger formatting.""" - from services.analysis_service import _format_exit_triggers - - triggers = [ - {"type": "time", "value": 25, "comparison": ">="}, - {"type": "weight", "value": 36, "comparison": ">="}, - ] - - result = _format_exit_triggers(triggers) - assert len(result) == 2 - assert result[0]["type"] == "time" - assert "25" in result[0]["description"] # Contains 25 - assert "s" in result[0]["description"] # Has seconds unit - - def test_format_exit_triggers_new_types(self): - """Test exit trigger formatting for flow_dose_correlation and pressure_rise.""" - from services.analysis_service import _format_exit_triggers - - triggers = [ - {"type": "flow_dose_correlation", "value": 2.0, "comparison": ">="}, - {"type": "pressure_rise", "value": 2.0, "comparison": ">="}, - ] - - result = _format_exit_triggers(triggers) - assert len(result) == 2 - assert result[0]["type"] == "flow_dose_correlation" - assert "×dose" in result[0]["description"] - assert result[1]["type"] == "pressure_rise" - assert "bar" in result[1]["description"] - - def test_profiling_knowledge_contains_native_preinfusion_rules(self): - """PROFILING_KNOWLEDGE expresses #420 pre-infusion intent via native triggers.""" - from services.gemini_service import PROFILING_KNOWLEDGE - - # #420 saturation rules must steer toward NATIVE machine triggers - # (weight ~2x dose + pressure rise), not app-only pseudo triggers. - assert "Saturation Rules (#420)" in PROFILING_KNOWLEDGE - assert "2 × dose" in PROFILING_KNOWLEDGE - assert "native" in PROFILING_KNOWLEDGE.lower() - # The old app-monitored pseudo-trigger guidance must be gone. - assert "flow_dose_correlation" not in PROFILING_KNOWLEDGE - assert "app-monitored" not in PROFILING_KNOWLEDGE.lower() - - def test_format_limits_basic(self): - """Test limits formatting.""" - from services.analysis_service import _format_limits - - limits = [ - {"type": "pressure", "value": 10, "comparison": "<="}, - {"type": "flow", "value": 4, "comparison": "<="}, - ] - - result = _format_limits(limits) - assert len(result) == 2 - assert "10" in result[0]["description"] # Contains 10 - assert "bar" in result[0]["description"] # Has bar unit - - def test_extract_shot_stage_data(self): - """Test extracting stage data from shot.""" - from services.analysis_service import _extract_shot_stage_data - - shot_data = { - "data": [ - { - "time": 0, - "shot": {"weight": 0, "pressure": 2.0, "flow": 0.5}, - "status": "during", - "stage_name": "Bloom", - }, - { - "time": 5000, - "shot": {"weight": 2.0, "pressure": 2.0, "flow": 0.5}, - "status": "during", - "stage_name": "Bloom", - }, - { - "time": 10000, - "shot": {"weight": 10.0, "pressure": 9.0, "flow": 2.5}, - "status": "during", - "stage_name": "Main", - }, - { - "time": 25000, - "shot": {"weight": 36.0, "pressure": 9.0, "flow": 2.5}, - "status": "during", - "stage_name": "Main", - }, - ] - } - - result = _extract_shot_stage_data(shot_data) - # Function returns dict of stages - assert isinstance(result, dict) - - def test_prepare_profile_for_llm(self): - """Test preparing shot summary data for LLM.""" - from services.analysis_service import _prepare_shot_summary_for_llm - - shot_data = { - "time": 1705320000, - "data": [ - {"time": 0, "shot": {"weight": 0, "pressure": 0, "flow": 0}}, - {"time": 25000, "shot": {"weight": 36.0, "pressure": 9.0, "flow": 2.5}}, - ], - } - profile_data = { - "name": "Test", - "temperature": 93.0, - "final_weight": 36.0, - "variables": [{"key": "dose", "value": 18.0}], - "stages": [{"name": "Main", "type": "pressure"}], - } - local_analysis = { - "overall_metrics": {"total_time": 25.0}, - "weight_analysis": {"final_weight": 36.0}, - "preinfusion_summary": {}, - "stage_analyses": [], - } - - result = _prepare_shot_summary_for_llm(shot_data, profile_data, local_analysis) - assert "shot_summary" in result - assert "stages" in result - assert "graph_samples" in result - - def test_compute_stage_stats_includes_start_end_pressure(self): - """Test that stage stats include start/end pressure and flow values.""" - from services.analysis_service import _compute_stage_stats - - entries = [ - {"time": 0, "shot": {"pressure": 2.0, "flow": 0.5, "weight": 0}}, - {"time": 1000, "shot": {"pressure": 5.0, "flow": 1.0, "weight": 5}}, - {"time": 2000, "shot": {"pressure": 8.0, "flow": 2.0, "weight": 10}}, - {"time": 3000, "shot": {"pressure": 6.0, "flow": 1.5, "weight": 15}}, - ] - - stats = _compute_stage_stats(entries) - - # New fields should be present - assert "start_pressure" in stats - assert "end_pressure" in stats - assert "start_flow" in stats - assert "end_flow" in stats - - # Values should match first and last entries - assert stats["start_pressure"] == 2.0 - assert stats["end_pressure"] == 6.0 - assert stats["start_flow"] == 0.5 - assert stats["end_flow"] == 1.5 - - def test_determine_exit_trigger_hit_with_less_than_comparison(self): - """Test that <= comparisons use min/end values instead of max.""" - from services.analysis_service import _determine_exit_trigger_hit - - # Stage data where pressure declined from 9 to 3 bar - stage_data = { - "duration": 15.0, - "end_weight": 36.0, - "max_pressure": 9.0, - "min_pressure": 3.0, - "end_pressure": 3.0, - "max_flow": 2.5, - "min_flow": 1.0, - "end_flow": 1.0, - } - - # Exit trigger: pressure <= 4 bar (should trigger because end_pressure is 3) - exit_triggers = [{"type": "pressure", "value": 4.0, "comparison": "<="}] - - result = _determine_exit_trigger_hit(stage_data, exit_triggers) - - # Should trigger because end_pressure (3.0) <= 4.0 - assert result["triggered"] is not None - assert result["triggered"]["type"] == "pressure" - # The actual value should be end_pressure, not max_pressure - assert result["triggered"]["actual"] == 3.0 - - def test_determine_exit_trigger_hit_with_greater_than_comparison(self): - """Test that >= comparisons still use max values.""" - from services.analysis_service import _determine_exit_trigger_hit - - stage_data = { - "duration": 5.0, - "end_weight": 10.0, - "max_pressure": 9.0, - "min_pressure": 2.0, - "end_pressure": 8.0, - "max_flow": 3.0, - "min_flow": 0.5, - "end_flow": 2.5, - } - - # Exit trigger: pressure >= 8.5 bar (should trigger because max_pressure is 9) - exit_triggers = [{"type": "pressure", "value": 8.5, "comparison": ">="}] - - result = _determine_exit_trigger_hit(stage_data, exit_triggers) - - # Should trigger because max_pressure (9.0) >= 8.5 - assert result["triggered"] is not None - assert result["triggered"]["actual"] == 9.0 - - def test_determine_exit_trigger_hit_flow_less_than(self): - """Test flow exit trigger with <= comparison.""" - from services.analysis_service import _determine_exit_trigger_hit - - stage_data = { - "duration": 20.0, - "end_weight": 40.0, - "max_pressure": 6.0, - "min_pressure": 6.0, - "end_pressure": 6.0, - "max_flow": 4.0, - "min_flow": 1.5, - "end_flow": 1.5, - } - - # Exit trigger: flow <= 2.0 ml/s - exit_triggers = [{"type": "flow", "value": 2.0, "comparison": "<="}] - - result = _determine_exit_trigger_hit(stage_data, exit_triggers) - - # Should trigger because end_flow (1.5) <= 2.0 - assert result["triggered"] is not None - assert result["triggered"]["type"] == "flow" - assert result["triggered"]["actual"] == 1.5 - - def test_determine_exit_trigger_hit_zero_pressure(self): - """Test that zero pressure is treated as a legitimate value, not missing data.""" - from services.analysis_service import _determine_exit_trigger_hit - - # Stage data where pressure dropped to zero (e.g., pressure release phase) - stage_data = { - "duration": 10.0, - "end_weight": 30.0, - "max_pressure": 5.0, - "min_pressure": 0.0, - "end_pressure": 0.0, # Legitimate zero at end - "max_flow": 2.0, - "min_flow": 0.5, - "end_flow": 0.5, - } - - # Exit trigger: pressure <= 1.0 bar (should trigger because end_pressure is 0) - exit_triggers = [{"type": "pressure", "value": 1.0, "comparison": "<="}] - - result = _determine_exit_trigger_hit(stage_data, exit_triggers) - - # Should trigger because end_pressure (0.0) <= 1.0 - assert result["triggered"] is not None - assert result["triggered"]["type"] == "pressure" - # The actual value should be end_pressure (0.0), not min_pressure - assert result["triggered"]["actual"] == 0.0 - - def test_determine_exit_trigger_hit_zero_flow(self): - """Test that zero flow is treated as a legitimate value, not missing data.""" - from services.analysis_service import _determine_exit_trigger_hit - - # Stage data where flow dropped to zero - stage_data = { - "duration": 12.0, - "end_weight": 35.0, - "max_pressure": 6.0, - "min_pressure": 5.0, - "end_pressure": 5.5, - "max_flow": 3.0, - "min_flow": 0.0, - "end_flow": 0.0, # Legitimate zero at end - } - - # Exit trigger: flow <= 0.5 ml/s (should trigger because end_flow is 0) - exit_triggers = [{"type": "flow", "value": 0.5, "comparison": "<="}] - - result = _determine_exit_trigger_hit(stage_data, exit_triggers) - - # Should trigger because end_flow (0.0) <= 0.5 - assert result["triggered"] is not None - assert result["triggered"]["type"] == "flow" - # The actual value should be end_flow (0.0), not min_flow - assert result["triggered"]["actual"] == 0.0 - - def test_generate_execution_description_rising_pressure(self): - """Test execution description for rising pressure.""" - from services.analysis_service import _generate_execution_description - - desc = _generate_execution_description( - stage_type="pressure", - duration=5.0, - start_pressure=2.0, - end_pressure=9.0, - max_pressure=9.0, - start_flow=0.5, - end_flow=2.0, - max_flow=2.5, - weight_gain=8.0, - ) - - assert "rose" in desc.lower() or "increased" in desc.lower() - assert "2.0" in desc - assert "9.0" in desc - - def test_generate_execution_description_declining_pressure(self): - """Test execution description for declining pressure.""" - from services.analysis_service import _generate_execution_description - - desc = _generate_execution_description( - stage_type="pressure", - duration=10.0, - start_pressure=9.0, - end_pressure=6.0, - max_pressure=9.0, - start_flow=2.0, - end_flow=2.0, - max_flow=2.5, - weight_gain=15.0, - ) - - assert ( - "declined" in desc.lower() - or "decreased" in desc.lower() - or "dropped" in desc.lower() - ) - assert "9.0" in desc - assert "6.0" in desc - - def test_generate_execution_description_steady_pressure(self): - """Test execution description for steady pressure.""" - from services.analysis_service import _generate_execution_description - - desc = _generate_execution_description( - stage_type="pressure", - duration=15.0, - start_pressure=6.0, - end_pressure=6.1, # Very small change - max_pressure=6.2, - start_flow=2.0, - end_flow=2.0, - max_flow=2.1, - weight_gain=20.0, - ) - - # Should describe as "held" or "steady" since delta is < 0.5 - assert "held" in desc.lower() or "steady" in desc.lower() - - def test_generate_profile_target_curves_basic(self): - """Test generating profile target curves for chart overlay.""" - from services.analysis_service import _generate_profile_target_curves - - profile_data = { - "stages": [ - { - "name": "Bloom", - "type": "pressure", - "dynamics_points": [[0, 2.0]], # Constant 2 bar - "dynamics_over": "time", - }, - { - "name": "Main", - "type": "pressure", - "dynamics_points": [[0, 9.0]], # Constant 9 bar - "dynamics_over": "time", - }, - ], - "variables": [], - } - - shot_stage_times = {"Bloom": (0.0, 5.0), "Main": (5.0, 25.0)} - - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0, "pressure": 2.0}, "status": "Bloom"}, - { - "time": 5000, - "shot": {"weight": 2.0, "pressure": 2.0}, - "status": "Bloom", - }, - { - "time": 6000, - "shot": {"weight": 5.0, "pressure": 9.0}, - "status": "Main", - }, - { - "time": 25000, - "shot": {"weight": 36.0, "pressure": 9.0}, - "status": "Main", - }, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - assert isinstance(curves, list) - assert len(curves) > 0 - - # Should have target_pressure values - pressure_points = [c for c in curves if "target_pressure" in c] - assert len(pressure_points) > 0 - - def test_generate_profile_target_curves_ramp(self): - """Test generating target curves for a pressure ramp.""" - from services.analysis_service import _generate_profile_target_curves - - profile_data = { - "stages": [ - { - "name": "Ramp Up", - "type": "pressure", - "dynamics_points": [ - [0, 2.0], - [5, 9.0], - ], # Ramp from 2 to 9 bar over 5s - "dynamics_over": "time", - } - ], - "variables": [], - } - - shot_stage_times = {"Ramp Up": (0.0, 5.0)} - - shot_data = { - "data": [ - { - "time": 0, - "shot": {"weight": 0, "pressure": 2.0}, - "status": "Ramp Up", - }, - { - "time": 5000, - "shot": {"weight": 5.0, "pressure": 9.0}, - "status": "Ramp Up", - }, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - # Should have at least 2 points (start and end) - pressure_points = [c for c in curves if "target_pressure" in c] - assert len(pressure_points) >= 2 - - # First should be 2 bar, last should be 9 bar - assert pressure_points[0]["target_pressure"] == 2.0 - assert pressure_points[-1]["target_pressure"] == 9.0 - - def test_short_ramp_not_compressed_to_instant(self): - """Regression: a short ramp inside a longer stage keeps its real duration. - - A 2s ramp from 3->9 bar in a stage that actually ran 30s must occupy its - true 2 seconds and then hold at 9 bar — it must NOT be stretched across - the whole stage, nor (when a trailing hold point exists) compressed until - the ramp looks instantaneous. See issue #483. - """ - from services.analysis_service import _generate_profile_target_curves - - profile_data = { - "stages": [ - { - "name": "Ramp", - "type": "pressure", - # Ramp 3->9 over 2s, then hold at 9 (trailing hold point at 30s). - "dynamics_points": [[0, 3.0], [2, 9.0], [30, 9.0]], - "dynamics_over": "time", - } - ], - "variables": [], - } - - # The stage actually ran 30s in the shot. - shot_stage_times = {"Ramp": (0.0, 30.0)} - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0, "pressure": 3.0}, "status": "Ramp"}, - { - "time": 30000, - "shot": {"weight": 36.0, "pressure": 9.0}, - "status": "Ramp", - }, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - pressure_points = [c for c in curves if "target_pressure" in c] - - # The 3 -> 9 transition must complete at ~2s, not stretched to 30s and not - # collapsed to t=0 (instant). - nine_bar_times = [ - p["time"] for p in pressure_points if p["target_pressure"] == 9.0 - ] - assert nine_bar_times, "expected the curve to reach 9 bar" - first_nine = min(nine_bar_times) - assert first_nine == pytest.approx(2.0, abs=0.2), ( - f"ramp should reach 9 bar at ~2s, got {first_nine}s" - ) - # And the final target should still be held at 9 bar at stage end. - assert pressure_points[-1]["target_pressure"] == 9.0 - assert pressure_points[-1]["time"] == pytest.approx(30.0, abs=0.2) - - def test_short_ramp_estimated_curves_not_compressed(self): - """Regression (#483): estimated curves also preserve short-ramp duration. - - Without shot data, a 2s ramp in a stage whose estimated duration is longer - must still render the ramp over 2 seconds (then hold), instead of being - rescaled to fill the estimated duration. - """ - from services.analysis_service import generate_estimated_target_curves - - profile_data = { - "stages": [ - { - "name": "Ramp", - "type": "pressure", - "dynamics_points": [[0, 3.0], [2, 9.0]], - "dynamics_over": "time", - # No time trigger -> estimated duration falls back to 10s. - "exit_triggers": [{"type": "weight", "value": 36}], - } - ], - "variables": [], - } - - curves = generate_estimated_target_curves(profile_data) - pressure_points = [c for c in curves if "target_pressure" in c] - - nine_bar_times = [ - p["time"] for p in pressure_points if p["target_pressure"] == 9.0 - ] - assert nine_bar_times - assert min(nine_bar_times) == pytest.approx(2.0, abs=0.2) - # Final value held at 9 bar to the (estimated) stage end. - assert pressure_points[-1]["target_pressure"] == 9.0 - assert pressure_points[-1]["time"] > 2.0 - - def test_generate_profile_target_curves_flow_stage(self): - """Test generating target curves for flow-based stage.""" - from services.analysis_service import _generate_profile_target_curves - - profile_data = { - "stages": [ - { - "name": "Flow Stage", - "type": "flow", - "dynamics_points": [[0, 2.5]], - "dynamics_over": "time", - } - ], - "variables": [], - } - - shot_stage_times = {"Flow Stage": (0.0, 20.0)} - - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0, "flow": 2.5}, "status": "Flow Stage"}, - { - "time": 20000, - "shot": {"weight": 36.0, "flow": 2.5}, - "status": "Flow Stage", - }, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - # Should have target_flow values - flow_points = [c for c in curves if "target_flow" in c] - assert len(flow_points) > 0 - assert flow_points[0]["target_flow"] == 2.5 - - def test_generate_profile_target_curves_weight_based(self): - """Test generating target curves for weight-based dynamics.""" - from services.analysis_service import _generate_profile_target_curves - - profile_data = { - "stages": [ - { - "name": "Ramp", - "type": "flow", - "dynamics_points": [ - [0, 2.0], - [20, 3.0], - [40, 2.5], - ], # Flow changes by weight - "dynamics_over": "weight", - } - ], - "variables": [], - } - - shot_stage_times = {"Ramp": (0.0, 30.0)} - - # Shot data with weight progression - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0, "flow": 2.0}, "status": "Ramp"}, - {"time": 10000, "shot": {"weight": 10, "flow": 2.3}, "status": "Ramp"}, - {"time": 20000, "shot": {"weight": 20, "flow": 2.8}, "status": "Ramp"}, - {"time": 25000, "shot": {"weight": 30, "flow": 2.7}, "status": "Ramp"}, - {"time": 30000, "shot": {"weight": 40, "flow": 2.5}, "status": "Ramp"}, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - # Should have target_flow values - flow_points = [c for c in curves if "target_flow" in c] - assert len(flow_points) == 3 # Three dynamics points - - # Verify values are correct - assert flow_points[0]["target_flow"] == 2.0 # At 0g - assert flow_points[1]["target_flow"] == 3.0 # At 20g - assert flow_points[2]["target_flow"] == 2.5 # At 40g - - # Verify times are mapped correctly (roughly) - # 0g should be at time 0 - assert flow_points[0]["time"] == 0.0 - # 20g should be around 20s (from shot data) - assert abs(flow_points[1]["time"] - 20.0) < 1.0 - # 40g should be at 30s (from shot data) - assert abs(flow_points[2]["time"] - 30.0) < 1.0 - - def test_generate_profile_target_curves_nested_dynamics_format(self): - """Test generating target curves when dynamics is nested (dynamics.points format from embedded profile).""" - from services.analysis_service import _generate_profile_target_curves - - # Profile with nested dynamics format (as embedded in shot data from machine) - profile_data = { - "stages": [ - { - "name": "Ultra Slow Preinfusion", - "type": "flow", - "dynamics": { - "points": [[0, 1.3]], - "over": "time", - "interpolation": "linear", - }, - }, - { - "name": "Pressure Ramp Up", - "type": "pressure", - "dynamics": { - "points": [[0, 2.1], [2, 8.4], [40.9, 3.7]], - "over": "time", - "interpolation": "curve", - }, - }, - ], - "variables": [], - } - - shot_stage_times = { - "Ultra Slow Preinfusion": (0.0, 19.0), - "Pressure Ramp Up": (19.0, 45.0), - } - - shot_data = { - "data": [ - { - "time": 0, - "shot": {"weight": 0, "flow": 1.3}, - "status": "Ultra Slow Preinfusion", - }, - { - "time": 19000, - "shot": {"weight": 5.0, "flow": 1.3}, - "status": "Ultra Slow Preinfusion", - }, - { - "time": 20000, - "shot": {"weight": 6.0, "pressure": 2.5}, - "status": "Pressure Ramp Up", - }, - { - "time": 45000, - "shot": {"weight": 36.0, "pressure": 4.0}, - "status": "Pressure Ramp Up", - }, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - assert isinstance(curves, list) - assert len(curves) > 0 - - # Should have both flow and pressure targets - flow_points = [c for c in curves if "target_flow" in c] - pressure_points = [c for c in curves if "target_pressure" in c] - - assert len(flow_points) >= 2 # At least start and end of flow stage - assert len(pressure_points) >= 3 # Three dynamics points in pressure stage - - # Verify flow targets - assert flow_points[0]["target_flow"] == 1.3 - - # Verify pressure targets (should have the ramp values) - pressure_values = [p["target_pressure"] for p in pressure_points] - assert 2.1 in pressure_values - assert 8.4 in pressure_values - # The dynamics curve's final point is at t=40.9s, but the stage only ran - # 26s (19s -> 45s) before exiting, so the curve is clipped at the stage - # boundary rather than rescaled to reach the final 3.7 value. The boundary - # value is the linear interpolation of 8.4 -> 3.7 at 26s into the stage. - assert 3.7 not in pressure_values - boundary_value = pressure_points[-1]["target_pressure"] - assert 3.7 < boundary_value < 8.4 - - def test_generate_profile_target_curves_handles_both_formats(self): - """Test that target curve generation handles both flat and nested dynamics formats.""" - from services.analysis_service import _generate_profile_target_curves - - # Mix of both formats in same profile - profile_data = { - "stages": [ - { - # Flat format (dynamics_points) - "name": "Stage1", - "type": "pressure", - "dynamics_points": [[0, 3.0]], - "dynamics_over": "time", - }, - { - # Nested format (dynamics.points) - "name": "Stage2", - "type": "flow", - "dynamics": {"points": [[0, 2.0], [5, 3.0]], "over": "time"}, - }, - ], - "variables": [], - } - - shot_stage_times = {"Stage1": (0.0, 10.0), "Stage2": (10.0, 20.0)} - - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0}, "status": "Stage1"}, - {"time": 10000, "shot": {"weight": 5}, "status": "Stage1"}, - {"time": 11000, "shot": {"weight": 6}, "status": "Stage2"}, - {"time": 20000, "shot": {"weight": 15}, "status": "Stage2"}, - ] - } - - curves = _generate_profile_target_curves( - profile_data, shot_stage_times, shot_data - ) - - # Should have targets from both stages - pressure_points = [c for c in curves if "target_pressure" in c] - flow_points = [c for c in curves if "target_flow" in c] - - assert len(pressure_points) >= 1 # From Stage1 - assert len(flow_points) >= 2 # From Stage2 - assert pressure_points[0]["target_pressure"] == 3.0 - assert 2.0 in [p["target_flow"] for p in flow_points] - assert 3.0 in [p["target_flow"] for p in flow_points] - - def test_interpolate_weight_to_time_with_edge_cases(self): - """Test weight-to-time interpolation helper function including edge cases.""" - from services.analysis_service import _interpolate_weight_to_time - - # Create sample weight-time pairs (weight, time) - weight_time_pairs = [(0, 0.0), (10, 5.0), (20, 12.0), (40, 30.0)] - - # Test exact match points - assert _interpolate_weight_to_time(0, weight_time_pairs) == 0.0 - assert _interpolate_weight_to_time(10, weight_time_pairs) == 5.0 - assert _interpolate_weight_to_time(20, weight_time_pairs) == 12.0 - assert _interpolate_weight_to_time(40, weight_time_pairs) == 30.0 - - # Test interpolation between points - # Weight 5 is halfway between 0 and 10, so time should be halfway between 0 and 5 = 2.5 - result = _interpolate_weight_to_time(5, weight_time_pairs) - assert abs(result - 2.5) < 0.01 - - # Weight 15 is halfway between 10 and 20, so time should be halfway between 5 and 12 = 8.5 - result = _interpolate_weight_to_time(15, weight_time_pairs) - assert abs(result - 8.5) < 0.01 - - # Weight 30 is halfway between 20 and 40, so time should be halfway between 12 and 30 = 21 - result = _interpolate_weight_to_time(30, weight_time_pairs) - assert abs(result - 21.0) < 0.01 - - # Test edge case: weight before first point - result = _interpolate_weight_to_time(-5, weight_time_pairs) - assert result == 0.0 # Should use first time - - # Test edge case: weight after last point - result = _interpolate_weight_to_time(50, weight_time_pairs) - assert result == 30.0 # Should use last time - - # Test edge case: empty list - result = _interpolate_weight_to_time(10, []) - assert result is None - - def test_local_analysis_includes_profile_target_curves(self): - """Test that local analysis returns profile target curves.""" - from services.analysis_service import _perform_local_shot_analysis - - shot_data = { - "data": [ - { - "time": 0, - "shot": {"weight": 0, "pressure": 2.0, "flow": 0.5}, - "status": "Bloom", - }, - { - "time": 5000, - "shot": {"weight": 2.0, "pressure": 2.0, "flow": 0.5}, - "status": "Bloom", - }, - { - "time": 6000, - "shot": {"weight": 5.0, "pressure": 9.0, "flow": 2.5}, - "status": "Main", - }, - { - "time": 25000, - "shot": {"weight": 36.0, "pressure": 9.0, "flow": 2.5}, - "status": "Main", - }, - ] - } - - profile_data = { - "name": "Test Profile", - "final_weight": 36.0, - "stages": [ - { - "name": "Bloom", - "key": "bloom", - "type": "pressure", - "dynamics_points": [[0, 2.0]], - "dynamics_over": "time", - "exit_triggers": [{"type": "time", "value": 5, "comparison": ">="}], - }, - { - "name": "Main", - "key": "main", - "type": "pressure", - "dynamics_points": [[0, 9.0]], - "dynamics_over": "time", - "exit_triggers": [ - {"type": "weight", "value": 36, "comparison": ">="} - ], - }, - ], - "variables": [], - } - - result = _perform_local_shot_analysis(shot_data, profile_data) - - # Should include profile_target_curves - assert "profile_target_curves" in result - assert isinstance(result["profile_target_curves"], list) - - def test_stage_execution_data_includes_description(self): - """Test that stage execution data includes a description.""" - from services.analysis_service import _analyze_stage_execution - - profile_stage = { - "name": "Main Extraction", - "key": "main", - "type": "pressure", - "dynamics_points": [[0, 9.0]], - "dynamics_over": "time", - "exit_triggers": [{"type": "weight", "value": 36, "comparison": ">="}], - } - - shot_stage_data = { - "duration": 20.0, - "start_weight": 5.0, - "end_weight": 36.0, - "start_pressure": 2.0, - "end_pressure": 9.0, - "avg_pressure": 8.5, - "max_pressure": 9.0, - "min_pressure": 2.0, - "start_flow": 0.5, - "end_flow": 2.5, - "avg_flow": 2.0, - "max_flow": 2.5, - "min_flow": 0.5, - } - - result = _analyze_stage_execution(profile_stage, shot_stage_data, 25.0) - - # Execution data should include description - assert result["execution_data"] is not None - assert "description" in result["execution_data"] - assert isinstance(result["execution_data"]["description"], str) - assert len(result["execution_data"]["description"]) > 0 - - def test_flow_stage_assessment_uses_end_flow_not_max_flow(self): - """Test that flow stage assessment uses end_flow instead of max_flow. - - The initial peak flow from piston retraction should be ignored. - Assessment should use end_flow which reflects the stabilized value. - """ - from services.analysis_service import _analyze_stage_execution - - # Flow stage with target flow of 1.3 ml/s - profile_stage = { - "name": "Ultra Slow Preinfusion", - "key": "preinfusion", - "type": "flow", - "dynamics_points": [[0, 1.3]], # Target 1.3 ml/s - "dynamics_over": "time", - "exit_triggers": [{"type": "time", "value": 20, "comparison": ">="}], - } - - # Shot stage data where: - # - max_flow is 4.8 (initial peak from piston) - # - end_flow is 1.5 (stabilized flow, close to target) - shot_stage_data = { - "duration": 18.0, # Stage ended early (before 20s trigger) - "start_weight": 0.0, - "end_weight": 5.0, - "start_pressure": 0.0, - "end_pressure": 0.5, - "avg_pressure": 0.3, - "max_pressure": 0.6, - "min_pressure": 0.0, - "start_flow": 4.8, # Initial peak - "end_flow": 1.5, # Stabilized flow, close to target 1.3 - "avg_flow": 2.0, - "max_flow": 4.8, # Peak from initial rush - "min_flow": 0.5, - } - - result = _analyze_stage_execution(profile_stage, shot_stage_data, 40.0) - - # Should have an assessment - assert result["assessment"] is not None - - # The message should reference end_flow (1.5), NOT max_flow (4.8) - message = result["assessment"]["message"] - assert "1.5" in message or "1.5" in message.replace(" ", "") # end_flow value - assert "4.8" not in message # max_flow should NOT be used - - # Status should be 'incomplete' (ended early) but goal reached - # because end_flow 1.5 >= 1.3 * 0.95 (target within 5%) - assert result["assessment"]["status"] == "incomplete" - assert "reached" in message.lower() - - def test_pressure_stage_assessment_uses_max_pressure(self): - """Test that pressure stage assessment correctly uses max_pressure.""" - from services.analysis_service import _analyze_stage_execution - - # Pressure stage with target 9 bar - profile_stage = { - "name": "Main Extraction", - "key": "main", - "type": "pressure", - "dynamics_points": [[0, 9.0]], # Target 9 bar - "dynamics_over": "time", - "exit_triggers": [{"type": "time", "value": 30, "comparison": ">="}], - } - - # Shot stage where we hit target pressure - shot_stage_data = { - "duration": 25.0, # Stage ended early - "start_weight": 5.0, - "end_weight": 30.0, - "start_pressure": 2.0, - "end_pressure": 8.5, - "avg_pressure": 8.0, - "max_pressure": 9.2, # Hit target - "min_pressure": 2.0, - "start_flow": 0.5, - "end_flow": 2.5, - "avg_flow": 2.0, - "max_flow": 3.0, - "min_flow": 0.5, - } - - result = _analyze_stage_execution(profile_stage, shot_stage_data, 50.0) - - # Should have an assessment - assert result["assessment"] is not None - - # The message should reference max_pressure (9.2) - message = result["assessment"]["message"] - assert "9.2" in message # max_pressure value - - # Status should be 'incomplete' but goal reached - assert result["assessment"]["status"] == "incomplete" - assert "reached" in message.lower() - - -class TestEstimatedTargetCurves: - """Tests for generate_estimated_target_curves (live-view goal overlays).""" - - def test_single_point_pressure_stage(self): - """Single-point constant pressure stage generates start+end points.""" - from services.analysis_service import generate_estimated_target_curves - - profile = { - "stages": [ - { - "name": "Pre-Infusion", - "type": "pressure", - "dynamics_points": [[0, 3]], - "exit_triggers": [{"type": "time", "value": 10}], - } - ], - "variables": [], - } - curves = generate_estimated_target_curves(profile) - assert len(curves) == 2 - assert curves[0]["target_pressure"] == 3.0 - assert curves[0]["time"] == 0.0 - assert curves[1]["time"] == 10.0 - assert curves[1]["stage_name"] == "Pre-Infusion" - - def test_multi_stage_accumulates_time(self): - """Multiple stages stack up durations correctly.""" - from services.analysis_service import generate_estimated_target_curves - - profile = { - "stages": [ - { - "name": "S1", - "type": "pressure", - "dynamics_points": [[0, 2]], - "exit_triggers": [{"type": "time", "value": 5}], - }, - { - "name": "S2", - "type": "flow", - "dynamics_points": [[0, 4]], - "exit_triggers": [{"type": "time", "value": 8}], - }, - ], - "variables": [], - } - curves = generate_estimated_target_curves(profile) - # S1: 0-5s, S2: 5-13s - flow_pts = [c for c in curves if "target_flow" in c] - assert flow_pts[0]["time"] == 5.0 - assert flow_pts[1]["time"] == 13.0 - - def test_variable_resolution(self): - """Variables in dynamics_points are resolved.""" - from services.analysis_service import generate_estimated_target_curves - - profile = { - "stages": [ - { - "name": "Main", - "type": "pressure", - "dynamics_points": [[0, "$my_pressure"]], - "exit_triggers": [{"type": "time", "value": 10}], - } - ], - "variables": [{"key": "my_pressure", "value": 9}], - } - curves = generate_estimated_target_curves(profile) - assert curves[0]["target_pressure"] == 9.0 - - def test_multi_point_dynamics(self): - """Multi-point dynamics produces multiple curve points.""" - from services.analysis_service import generate_estimated_target_curves - - profile = { - "stages": [ - { - "name": "Ramp", - "type": "pressure", - "dynamics_points": [[0, 2], [5, 6], [10, 9]], - "exit_triggers": [{"type": "time", "value": 20}], - } - ], - "variables": [], - } - curves = generate_estimated_target_curves(profile) - # Dynamics define a ramp over 10s; the stage's time exit is 20s, so the - # ramp keeps its real 10s duration and then holds at 9 bar until 20s. - # It must NOT be rescaled to span the full 20s (issue #483). - assert len(curves) == 4 - assert curves[0]["time"] == 0.0 - assert curves[0]["target_pressure"] == 2.0 - assert curves[1]["time"] == 5.0 - assert curves[1]["target_pressure"] == 6.0 - assert curves[2]["time"] == 10.0 - assert curves[2]["target_pressure"] == 9.0 - # Final value held flat to the stage end. - assert curves[3]["time"] == 20.0 - assert curves[3]["target_pressure"] == 9.0 - - def test_no_time_trigger_uses_default(self): - """Stage without a time exit trigger uses the 10s default.""" - from services.analysis_service import generate_estimated_target_curves - - profile = { - "stages": [ - { - "name": "WtStage", - "type": "flow", - "dynamics_points": [[0, 3]], - "exit_triggers": [{"type": "weight", "value": 30}], - } - ], - "variables": [], - } - curves = generate_estimated_target_curves(profile) - assert curves[1]["time"] == 10.0 # default duration - - def test_empty_profile_returns_empty(self): - """Profile with no stages returns empty list.""" - from services.analysis_service import generate_estimated_target_curves - - assert generate_estimated_target_curves({"stages": []}) == [] - - -class TestBasicEndpoints: - """Tests for basic utility endpoints.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_parse_gemini_error(self): - """Test Gemini error parsing.""" - from services.gemini_service import parse_gemini_error - - error_text = """Some error occurred - Error details here - Quota exceeded message""" - - result = parse_gemini_error(error_text) - - assert isinstance(result, str) - assert len(result) > 0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.ensure_history_file") - @patch("api.routes.system.Path") - def test_load_history_with_valid_file(self, mock_path, mock_ensure): - """Test loading history from valid file.""" - from services.history_service import load_history as _load_history - - # Mock file operations - mock_file = Mock() - mock_file.exists.return_value = True - mock_file.read_text.return_value = json.dumps( - [{"id": "123", "profile_name": "Test"}] - ) - mock_path.return_value = mock_file - - history = _load_history() - - assert isinstance(history, list) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.ensure_history_file") - @patch("builtins.open") - def test_load_history_with_missing_file(self, mock_open_func, mock_ensure): - """Test loading history when file doesn't exist.""" - from services.history_service import load_history as _load_history - - # Mock file not found - mock_open_func.side_effect = FileNotFoundError("File not found") - - history = _load_history() - - assert history == [] - - -class TestProcessImageForProfile: - """Tests for image processing function.""" - - def test_process_image_for_profile_valid_png(self): - """Test processing a valid PNG image.""" - from api.routes.profiles import process_image_for_profile - from PIL import Image - import io - - # Create a test image - img = Image.new("RGB", (1024, 768), color="red") - img_bytes = io.BytesIO() - img.save(img_bytes, format="PNG") - img_data = img_bytes.getvalue() - - data_uri, png_bytes = process_image_for_profile(img_data, "image/png") - - assert data_uri.startswith("data:image/png;base64,") - assert len(png_bytes) > 0 - - # Verify it's 512x512 - result_img = Image.open(io.BytesIO(png_bytes)) - assert result_img.size == (512, 512) - - def test_process_image_for_profile_jpeg(self): - """Test processing a JPEG image.""" - from api.routes.profiles import process_image_for_profile - from PIL import Image - import io - - # Create a test JPEG image - img = Image.new("RGB", (800, 600), color="blue") - img_bytes = io.BytesIO() - img.save(img_bytes, format="JPEG") - img_data = img_bytes.getvalue() - - data_uri, png_bytes = process_image_for_profile(img_data, "image/jpeg") - - assert data_uri.startswith("data:image/png;base64,") - - # Verify conversion and resize - result_img = Image.open(io.BytesIO(png_bytes)) - assert result_img.format == "PNG" - assert result_img.size == (512, 512) - - -class TestCheckUpdatesEndpoint: - """Tests for the /api/check-updates endpoint (GitHub Releases API).""" - - @pytest.fixture(autouse=True) - def clear_update_cache(self): - """Clear the update cache between tests.""" - import api.routes.system as sys_module - - sys_module._update_cache = None - sys_module._update_cache_time = None - yield - sys_module._update_cache = None - sys_module._update_cache_time = None - - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_check_updates_success_with_updates( - self, mock_client_cls, mock_version, client - ): - """Test successful update check with updates available.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - { - "tag_name": "v2.1.0", - "html_url": "https://github.com/hessius/MeticAI/releases/tag/v2.1.0", - "prerelease": False, - } - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/check-updates") - - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is True - assert data["current_version"] == "2.0.0" - assert data["latest_version"] == "2.1.0" - assert data["fresh_check"] is True - - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_check_updates_no_updates(self, mock_client_cls, mock_version, client): - """Test update check when already on latest version.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - { - "tag_name": "v2.0.0", - "html_url": "https://github.com/hessius/MeticAI/releases/tag/v2.0.0", - "prerelease": False, - } - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/check-updates") - - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is False - - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_check_updates_github_unreachable( - self, mock_client_cls, mock_version, client - ): - """Test update check when GitHub API is unreachable.""" - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(side_effect=Exception("Connection refused")) - mock_client_cls.return_value = mock_client - - response = client.post("/api/check-updates") - - assert response.status_code == 200 - data = response.json() - assert data["update_available"] is False - assert data["current_version"] == "2.0.0" - - @patch("api.routes.system._get_running_version", return_value="2.0.0") - @patch("httpx.AsyncClient") - def test_check_updates_fresh_check(self, mock_client_cls, mock_version, client): - """Test that check-updates returns fresh_check=True.""" - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = [ - { - "tag_name": "v2.0.0", - "html_url": "https://github.com/hessius/MeticAI/releases/tag/v2.0.0", - "prerelease": False, - } - ] - mock_client = AsyncMock() - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client.get = AsyncMock(return_value=mock_response) - mock_client_cls.return_value = mock_client - - response = client.post("/api/check-updates") - - assert response.status_code == 200 - data = response.json() - assert data.get("fresh_check") is True - assert "last_check" in data - - -class TestMachineProfilesEndpoint: - """Tests for the /api/machine/profiles endpoint.""" - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history") - def test_list_profiles_success( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test successful profile listing from machine.""" - # Mock list_profiles result - return simple objects - mock_profile1 = type("Profile", (), {})() - mock_profile1.id = "profile-1" - mock_profile1.name = "Espresso Classic" - mock_profile1.error = None - - mock_profile2 = type("Profile", (), {})() - mock_profile2.id = "profile-2" - mock_profile2.name = "Light Roast" - mock_profile2.error = None - - mock_list_profiles.return_value = [mock_profile1, mock_profile2] - - # Mock get_profile results - return simple objects with all required attributes - full_profile1 = type("FullProfile", (), {})() - full_profile1.id = "profile-1" - full_profile1.name = "Espresso Classic" - full_profile1.author = "Barista Joe" - full_profile1.temperature = 93.0 - full_profile1.final_weight = 36.0 - full_profile1.error = None - - full_profile2 = type("FullProfile", (), {})() - full_profile2.id = "profile-2" - full_profile2.name = "Light Roast" - full_profile2.author = "Barista Jane" - full_profile2.temperature = 91.0 - full_profile2.final_weight = 40.0 - full_profile2.error = None - - mock_get_profile.side_effect = [full_profile1, full_profile2] - - # Mock history via load_history - mock_load_history.return_value = [ - {"profile_name": "Espresso Classic", "reply": "Great profile"} - ] - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["total"] == 2 - assert len(data["profiles"]) == 2 - - # Check first profile has history - profile1 = next(p for p in data["profiles"] if p["name"] == "Espresso Classic") - assert profile1["in_history"] is True - assert profile1["has_description"] is True - assert "derived_tags" in profile1 - - # Check second profile has no history - profile2 = next(p for p in data["profiles"] if p["name"] == "Light Roast") - assert profile2["in_history"] is False - assert "derived_tags" in profile2 - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_list_profiles_api_error(self, mock_list_profiles, client): - """Test error handling when machine API fails.""" - # Mock API error - mock_result = MagicMock() - mock_result.error = "Connection timeout" - mock_list_profiles.return_value = mock_result - - response = client.get("/api/machine/profiles") - - assert response.status_code == 502 - assert "Machine API error" in response.json()["detail"] - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_list_profiles_empty(self, mock_load_history, mock_list_profiles, client): - """Test listing when no profiles exist.""" - mock_list_profiles.return_value = [] - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["total"] == 0 - assert len(data["profiles"]) == 0 - - @patch("api.routes.profiles.invalidate_profile_list_cache") - @patch("api.routes.profiles.async_session_post", new_callable=AsyncMock) - def test_reorder_profiles_success( - self, mock_session_post, mock_invalidate, client - ): - """Reordering forwards the new ID list to the machine settings endpoint.""" - mock_response = MagicMock() - mock_response.status_code = 200 - mock_session_post.return_value = mock_response - - order = ["profile-b", "profile-a", "profile-c"] - response = client.post("/api/machine/profiles/order", json={"order": order}) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["order"] == order - mock_session_post.assert_awaited_once_with( - "/api/v1/settings", {"profile_order": order} - ) - mock_invalidate.assert_called_once() - - @patch("api.routes.profiles.async_session_post", new_callable=AsyncMock) - def test_reorder_profiles_rejects_empty_list(self, mock_session_post, client): - """An empty order list is a client error and never reaches the machine.""" - response = client.post("/api/machine/profiles/order", json={"order": []}) - - assert response.status_code == 400 - mock_session_post.assert_not_called() - - @patch("api.routes.profiles.async_session_post", new_callable=AsyncMock) - def test_reorder_profiles_rejects_non_string_ids(self, mock_session_post, client): - """Order entries must be non-empty strings.""" - response = client.post( - "/api/machine/profiles/order", json={"order": ["ok", 42, ""]} - ) - - assert response.status_code == 400 - mock_session_post.assert_not_called() - - @patch("api.routes.profiles.invalidate_profile_list_cache") - @patch("api.routes.profiles.async_session_post", new_callable=AsyncMock) - def test_reorder_profiles_machine_unreachable( - self, mock_session_post, mock_invalidate, client - ): - """A MachineUnreachableError surfaces as a 503.""" - from services.meticulous_service import MachineUnreachableError - - mock_session_post.side_effect = MachineUnreachableError(ConnectionError("offline")) - - response = client.post( - "/api/machine/profiles/order", json={"order": ["a", "b"]} - ) - - assert response.status_code == 503 - - @patch("api.routes.profiles.invalidate_profile_list_cache") - @patch("api.routes.profiles.async_session_post", new_callable=AsyncMock) - def test_reorder_profiles_machine_rejects( - self, mock_session_post, mock_invalidate, client - ): - """A non-2xx machine response surfaces as a 502.""" - mock_response = MagicMock() - mock_response.status_code = 400 - mock_session_post.return_value = mock_response - - response = client.post( - "/api/machine/profiles/order", json={"order": ["a", "b"]} - ) - - assert response.status_code == 502 - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_list_profiles_partial_failure( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test listing continues when individual profile fetch fails.""" - mock_profile1 = type("Profile", (), {})() - mock_profile1.id = "profile-1" - mock_profile1.name = "Good Profile" - mock_profile1.error = None - mock_profile1.author = "Barista" - mock_profile1.temperature = 93 - mock_profile1.final_weight = 40 - - mock_profile2 = type("Profile", (), {})() - mock_profile2.id = "profile-2" - mock_profile2.name = "Bad Profile" - mock_profile2.error = None - mock_profile2.author = None - mock_profile2.temperature = None - mock_profile2.final_weight = None - - mock_list_profiles.return_value = [mock_profile1, mock_profile2] - - full_profile1 = type("FullProfile", (), {})() - full_profile1.id = "profile-1" - full_profile1.name = "Good Profile" - full_profile1.author = "Barista" - full_profile1.error = None - - # Second profile fetch fails - should fall back to partial data - mock_get_profile.side_effect = [full_profile1, Exception("Network error")] - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # Now includes both profiles (using partial data for failed fetch) - assert data["total"] == 2 - assert len(data["profiles"]) == 2 - assert data["profiles"][0]["name"] == "Good Profile" - assert data["profiles"][1]["name"] == "Bad Profile" # Partial data fallback - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history") - def test_list_profiles_history_dict_format( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test handling of legacy history format (dict with entries key).""" - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Test Profile" - mock_profile.error = None - - mock_list_profiles.return_value = [mock_profile] - - full_profile = type("FullProfile", (), {})() - full_profile.id = "profile-1" - full_profile.name = "Test Profile" - full_profile.author = "Barista" - full_profile.error = None - - mock_get_profile.return_value = full_profile - - # Legacy format: dict with entries key - mock_load_history.return_value = { - "entries": [{"profile_name": "Test Profile", "reply": "Description here"}] - } - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - data = response.json() - assert data["profiles"][0]["in_history"] is True - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_list_profiles_includes_derived_tags( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test that profile list includes derived structural tags.""" - # Create a profile with pressure stages (triggers Pressure-controlled + Pre-infusion tags) - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Classic Espresso" - mock_profile.error = None - - # Build full profile with stages as objects (getattr-compatible) - dynamics = type( - "Dynamics", - (), - {"points": [[0, 2.0], [5, 4.0]], "over": "time", "interpolation": "linear"}, - )() - stage1 = type( - "Stage", - (), - { - "name": "Preinfusion", - "type": "pressure", - "dynamics": dynamics, - "limits": [], - "exit_triggers": [], - }, - )() - dynamics2 = type( - "Dynamics", - (), - { - "points": [[0, 9.0], [25, 8.5]], - "over": "time", - "interpolation": "linear", - }, - )() - stage2 = type( - "Stage", - (), - { - "name": "Extraction", - "type": "pressure", - "dynamics": dynamics2, - "limits": [], - "exit_triggers": [], - }, - )() - - full_profile = type("FullProfile", (), {})() - full_profile.id = "profile-1" - full_profile.name = "Classic Espresso" - full_profile.author = "Barista" - full_profile.temperature = 92.0 - full_profile.final_weight = 36.0 - full_profile.stages = [stage1, stage2] - full_profile.variables = None - full_profile.display = None - full_profile.error = None - - mock_list_profiles.return_value = [mock_profile] - mock_get_profile.return_value = full_profile - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - data = response.json() - profile = data["profiles"][0] - assert "derived_tags" in profile - assert isinstance(profile["derived_tags"], list) - assert "Pressure-controlled" in profile["derived_tags"] - assert "Pre-infusion" in profile["derived_tags"] - assert "High temp (91\u201393\u00b0C)" in profile["derived_tags"] - assert "Normale (36\u201344g)" in profile["derived_tags"] - assert "Standard pressure (8\u20139 bar)" in profile["derived_tags"] - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_list_profiles_derived_tags_empty_without_stages( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test that profiles without stages still get derived_tags (possibly just temperature).""" - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Simple" - mock_profile.error = None - - full_profile = type("FullProfile", (), {})() - full_profile.id = "profile-1" - full_profile.name = "Simple" - full_profile.author = None - full_profile.temperature = 88.0 - full_profile.final_weight = None - full_profile.error = None - - mock_list_profiles.return_value = [mock_profile] - mock_get_profile.return_value = full_profile - - response = client.get("/api/machine/profiles") - - assert response.status_code == 200 - profile = response.json()["profiles"][0] - assert "derived_tags" in profile - # Should at least have temperature tag - assert "Medium temp (88\u201390\u00b0C)" in profile["derived_tags"] - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_derived_tags_weight_range( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test that derived tags include weight range labels.""" - mock_profile = type( - "Profile", (), {"id": "p1", "name": "Ristretto", "error": None} - )() - dynamics = type( - "Dynamics", - (), - {"points": [[0, 9.0]], "over": "time", "interpolation": "linear"}, - )() - stage = type( - "Stage", - (), - { - "name": "Main", - "type": "pressure", - "dynamics": dynamics, - "limits": [], - "exit_triggers": [], - }, - )() - full = type( - "Full", - (), - { - "id": "p1", - "name": "Ristretto", - "author": None, - "temperature": 93.0, - "final_weight": 25.0, - "stages": [stage], - "variables": None, - "display": None, - "error": None, - }, - )() - mock_list_profiles.return_value = [mock_profile] - mock_get_profile.return_value = full - response = client.get("/api/machine/profiles") - tags = response.json()["profiles"][0]["derived_tags"] - assert "Ristretto (\u226435g)" in tags - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_derived_tags_adaptive_detection( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test that profiles with $variable references get Adaptive tag.""" - mock_profile = type( - "Profile", (), {"id": "p1", "name": "Adaptive", "error": None} - )() - dynamics = type( - "Dynamics", - (), - {"points": [[0, "$pressure"]], "over": "time", "interpolation": "linear"}, - )() - stage = type( - "Stage", - (), - { - "name": "Main", - "type": "pressure", - "dynamics": dynamics, - "limits": [], - "exit_triggers": [], - }, - )() - full = type( - "Full", - (), - { - "id": "p1", - "name": "Adaptive Profile", - "author": None, - "temperature": 93.0, - "final_weight": 40.0, - "stages": [stage], - "variables": None, - "display": None, - "error": None, - }, - )() - mock_list_profiles.return_value = [mock_profile] - mock_get_profile.return_value = full - response = client.get("/api/machine/profiles") - tags = response.json()["profiles"][0]["derived_tags"] - assert "Adaptive" in tags - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history", return_value=[]) - def test_derived_tags_structural_bloom( - self, mock_load_history, mock_list_profiles, mock_get_profile, client - ): - """Test content-based bloom detection from zero-flow stage with time exit.""" - mock_profile = type( - "Profile", (), {"id": "p1", "name": "TestProfile", "error": None} - )() - bloom_dyn = type( - "Dynamics", - (), - {"points": [[0, 0.0], [5, 0.0]], "over": "time", "interpolation": "linear"}, - )() - time_exit = type("Exit", (), {"type": "time", "value": 30})() - bloom_stage = type( - "Stage", - (), - { - "name": "Phase1", - "type": "flow", - "dynamics": bloom_dyn, - "limits": [], - "exit_triggers": [time_exit], - }, - )() - main_dyn = type( - "Dynamics", - (), - {"points": [[0, 3.0]], "over": "time", "interpolation": "linear"}, - )() - main_stage = type( - "Stage", - (), - { - "name": "Phase2", - "type": "flow", - "dynamics": main_dyn, - "limits": [], - "exit_triggers": [], - }, - )() - full = type( - "Full", - (), - { - "id": "p1", - "name": "TestProfile", - "author": None, - "temperature": 90.0, - "final_weight": 40.0, - "stages": [bloom_stage, main_stage], - "variables": None, - "display": None, - "error": None, - }, - )() - mock_list_profiles.return_value = [mock_profile] - mock_get_profile.return_value = full - response = client.get("/api/machine/profiles") - tags = response.json()["profiles"][0]["derived_tags"] - assert "Bloom" in tags - - -class TestTargetCurvesOverride: - """Target-curves endpoint reflects active temporary variable overrides.""" - - def _make_profile(self): - full = type("FullProfile", (), {})() - full.id = "profile-1" - full.name = "Override Profile" - full.error = None - # Single-point pressure stage whose value references a variable, so an - # override of that variable changes the estimated target curve. - full.stages = [ - { - "name": "Hold", - "type": "pressure", - "dynamics_points": [[0, "$pressure_var"]], - "dynamics_over": "time", - "exit_triggers": [{"type": "time", "value": 10}], - } - ] - full.variables = [ - {"key": "pressure_var", "type": "pressure", "value": 6.0} - ] - return full - - @patch("api.routes.profiles.get_active") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_curves_use_saved_value_without_active_override( - self, mock_list, mock_get, mock_active, client - ): - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Override Profile" - mock_profile.error = None - mock_list.return_value = [mock_profile] - mock_get.return_value = self._make_profile() - mock_active.return_value = None - - response = client.get("/api/profile/Override Profile/target-curves") - assert response.status_code == 200 - curves = response.json()["target_curves"] - pressures = {c["target_pressure"] for c in curves if "target_pressure" in c} - assert pressures == {6.0} - - @patch("api.routes.profiles.get_active") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_curves_reflect_active_override( - self, mock_list, mock_get, mock_active, client - ): - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Override Profile" - mock_profile.error = None - mock_list.return_value = [mock_profile] - mock_get.return_value = self._make_profile() - mock_active.return_value = { - "profile_id": "profile-1", - "profile_name": "Override Profile", - "original_params": {"overrides": {"pressure_var": 9.0}}, - } - - response = client.get("/api/profile/Override Profile/target-curves") - assert response.status_code == 200 - curves = response.json()["target_curves"] - pressures = {c["target_pressure"] for c in curves if "target_pressure" in c} - assert pressures == {9.0} - - @patch("api.routes.profiles.get_active") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_curves_ignore_override_for_other_profile( - self, mock_list, mock_get, mock_active, client - ): - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-1" - mock_profile.name = "Override Profile" - mock_profile.error = None - mock_list.return_value = [mock_profile] - mock_get.return_value = self._make_profile() - # Active override is for a different profile name -> ignored. - mock_active.return_value = { - "profile_id": "other", - "profile_name": "Some Other Profile", - "original_params": {"overrides": {"pressure_var": 9.0}}, - } - - response = client.get("/api/profile/Override Profile/target-curves") - assert response.status_code == 200 - curves = response.json()["target_curves"] - pressures = {c["target_pressure"] for c in curves if "target_pressure" in c} - assert pressures == {6.0} - - -class TestMachineProfileJsonEndpoint: - """Tests for the /api/machine/profile/{profile_id}/json endpoint.""" - - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_get_profile_json_success(self, mock_fetch, client): - """Test successful profile JSON retrieval.""" - machine_json = { - "id": "profile-123", - "name": "Test Profile", - "author": "Barista Joe", - "temperature": 93.0, - "final_weight": 36.0, - "stages": [{"name": "preinfusion"}], - "variables": [{"key": "value"}], - } - mock_fetch.return_value = machine_json - - response = client.get("/api/machine/profile/profile-123/json") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["profile"]["id"] == "profile-123" - assert data["profile"]["name"] == "Test Profile" - assert data["profile"]["author"] == "Barista Joe" - assert data["profile"]["temperature"] == 93.0 - - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_get_profile_json_api_error(self, mock_fetch, client): - """Test error handling when machine API fails.""" - mock_fetch.side_effect = Exception("Profile not found") - - response = client.get("/api/machine/profile/invalid-id/json") - - assert response.status_code == 502 - assert "Machine API error" in response.json()["detail"] - - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_get_profile_json_nested_objects(self, mock_fetch, client): - """Test handling of nested objects in profile.""" - machine_json = { - "id": "profile-456", - "name": "Complex Profile", - "display": {"nested_key": "nested_value"}, - } - mock_fetch.return_value = machine_json - - response = client.get("/api/machine/profile/profile-456/json") - - assert response.status_code == 200 - data = response.json() - assert "display" in data["profile"] - - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_get_profile_json_list_of_objects(self, mock_fetch, client): - """Test handling of list of objects in profile.""" - machine_json = { - "id": "profile-789", - "name": "Multi-Stage Profile", - "stages": [ - {"name": "preinfusion", "duration": 5}, - {"name": "extraction", "duration": 25}, - ], - } - mock_fetch.return_value = machine_json - - response = client.get("/api/machine/profile/profile-789/json") - - assert response.status_code == 200 - data = response.json() - assert len(data["profile"]["stages"]) == 2 - assert data["profile"]["stages"][0]["name"] == "preinfusion" - - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_get_profile_json_exception(self, mock_fetch, client): - """Test handling of unexpected exceptions.""" - mock_fetch.side_effect = Exception("Unexpected error") - - response = client.get("/api/machine/profile/error-id/json") - - assert response.status_code == 502 - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - def test_get_profile_json_merges_synthesized_variables( - self, mock_get_profile, client - ): - """Test that top-level final_weight/temperature are merged with explicit variables.""" - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-merge" - mock_profile.name = "Yirgacheffe You Going?" - mock_profile.author = "Metic" - mock_profile.temperature = 94.0 - mock_profile.final_weight = 38.0 - mock_profile.error = None - # Explicit variables that do NOT include final_weight or temperature - mock_profile.variables = [ - { - "key": "pressure", - "name": "Brew Pressure", - "type": "pressure", - "value": 9.0, - }, - ] - - mock_get_profile.return_value = mock_profile - - response = client.get("/api/machine/profile/profile-merge") - - assert response.status_code == 200 - data = response.json() - variables = data["variables"] - keys = [v["key"] for v in variables] - assert "pressure" in keys, "Explicit variable should be preserved" - assert "final_weight" in keys, "Synthesized final_weight should be merged" - assert "temperature" in keys, "Synthesized temperature should be merged" - assert len(variables) == 3 - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - def test_get_profile_json_no_duplicate_variables(self, mock_get_profile, client): - """Test that explicit variables are not duplicated by synthesis.""" - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-dedup" - mock_profile.name = "Dedup Profile" - mock_profile.temperature = 94.0 - mock_profile.final_weight = 38.0 - mock_profile.error = None - # Explicit variables already include temperature - mock_profile.variables = [ - { - "key": "temperature", - "name": "Brew Temp", - "type": "temperature", - "value": 92.0, - }, - ] - - mock_get_profile.return_value = mock_profile - - response = client.get("/api/machine/profile/profile-dedup") - - assert response.status_code == 200 - data = response.json() - variables = data["variables"] - temp_vars = [v for v in variables if v["key"] == "temperature"] - assert len(temp_vars) == 1, "Should not duplicate existing temperature variable" - assert temp_vars[0]["value"] == 92.0, ( - "Should keep explicit value, not synthesized" - ) - fw_vars = [v for v in variables if v["key"] == "final_weight"] - assert len(fw_vars) == 1, "Should still add missing final_weight" - - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - def test_get_profile_json_synthesizes_when_no_variables( - self, mock_get_profile, client - ): - """Test that variables are synthesized when profile has none.""" - mock_profile = type("Profile", (), {})() - mock_profile.id = "profile-synth" - mock_profile.name = "Bare Profile" - mock_profile.temperature = 93.0 - mock_profile.final_weight = 36.0 - mock_profile.error = None - - mock_get_profile.return_value = mock_profile - - response = client.get("/api/machine/profile/profile-synth") - - assert response.status_code == 200 - data = response.json() - variables = data["variables"] - assert len(variables) == 2 - keys = {v["key"] for v in variables} - assert keys == {"final_weight", "temperature"} - - -class TestProfileImportEndpoint: - """Tests for the /api/profile/import endpoint.""" - - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history", return_value=[]) - @patch("api.routes.profiles._generate_profile_description", new_callable=AsyncMock) - def test_import_profile_success( - self, mock_generate_desc, mock_load_history, mock_save_history, client - ): - """Test successful profile import with description generation.""" - mock_generate_desc.return_value = ( - "Great espresso profile with balanced extraction" - ) - - profile_json = { - "name": "Imported Espresso", - "author": "Coffee Master", - "temperature": 93.0, - "stages": [{"name": "extraction"}], - } - - response = client.post( - "/api/profile/import", - json={ - "profile": profile_json, - "generate_description": True, - "source": "file", - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["profile_name"] == "Imported Espresso" - assert data["has_description"] is True - assert "entry_id" in data - mock_save_history.assert_called_once() - - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history", return_value=[]) - @patch("api.routes.profiles._generate_profile_description", new_callable=AsyncMock) - def test_import_profile_without_description( - self, mock_generate_desc, mock_load_history, mock_save_history, client - ): - """Test profile import without generating description.""" - # Should not be called when generate_description=False - mock_generate_desc.return_value = "Should not use this" - - profile_json = {"name": "Quick Import", "temperature": 92.0} - - response = client.post( - "/api/profile/import", - json={ - "profile": profile_json, - "generate_description": False, - "source": "machine", - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - mock_generate_desc.assert_not_called() - mock_save_history.assert_called_once() - - @patch("api.routes.profiles.load_history") - def test_import_profile_already_exists(self, mock_load_history, client): - """Test importing a profile that already exists in history.""" - profile_json = {"name": "Existing Profile", "temperature": 93.0} - - mock_load_history.return_value = [ - { - "id": "existing-123", - "profile_name": "Existing Profile", - "reply": "Already here", - } - ] - - response = client.post("/api/profile/import", json={"profile": profile_json}) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "exists" - assert "already exists" in data["message"] - assert data["entry_id"] == "existing-123" - - def test_import_profile_missing_json(self, client): - """Test error when no profile JSON is provided.""" - response = client.post( - "/api/profile/import", json={"generate_description": True} - ) - - assert response.status_code == 400 - assert "No profile JSON provided" in response.json()["detail"] - - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history", return_value=[]) - @patch("api.routes.profiles._generate_profile_description", new_callable=AsyncMock) - def test_import_profile_description_generation_fails( - self, mock_generate_desc, mock_load_history, mock_save_history, client - ): - """Test import falls back to static description when AI generation fails.""" - mock_generate_desc.side_effect = Exception("AI service unavailable") - - profile_json = {"name": "Fallback Profile", "temperature": 91.0} - - response = client.post( - "/api/profile/import", - json={ - "profile": profile_json, - "generate_description": True, - "source": "file", - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - # Should have a static fallback description (not empty) - assert data["has_description"] is True - mock_save_history.assert_called_once() - - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history") - def test_import_profile_legacy_history_format( - self, mock_load_history, mock_save_history, client - ): - """Test import with legacy history format (dict with entries).""" - profile_json = {"name": "New Profile", "temperature": 94.0} - - # Legacy format - mock_load_history.return_value = {"entries": [{"profile_name": "Old Profile"}]} - - response = client.post( - "/api/profile/import", - json={"profile": profile_json, "generate_description": False}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - - def test_import_profile_empty_request(self, client): - """Test error when request body is empty.""" - response = client.post("/api/profile/import", json={}) - - assert response.status_code == 400 - - -class TestShotsByProfileEndpoint: - """Tests for the /api/shots/by-profile/{profile_name} endpoint.""" - - @pytest.fixture(autouse=True) - def clear_shot_index(self): - """Reset the persistent shot profile index so tests use mocked data.""" - import services.cache_service as _cs - - _cs._shot_index = None - if _cs.SHOT_INDEX_FILE.exists(): - _cs.SHOT_INDEX_FILE.unlink() - yield - _cs._shot_index = None - if _cs.SHOT_INDEX_FILE.exists(): - _cs.SHOT_INDEX_FILE.unlink() - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_success( - self, - mock_set_cache, - mock_get_cache, - mock_fetch_shot, - mock_get_dates, - mock_get_files, - client, - ): - """Test successful retrieval of shots for a profile.""" - # No cache initially - mock_get_cache.return_value = (None, False, None) - - # Mock dates - date1 = MagicMock() - date1.name = "2024-01-15" - mock_get_dates.return_value = [date1] - - # Mock files - file1 = MagicMock() - file1.name = "shot_001.json" - file2 = MagicMock() - file2.name = "shot_002.json" - mock_get_files.return_value = [file1, file2] - - # Mock shot data - shot_data_1 = { - "profile_name": "Espresso Classic", - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.5}}], - } - - shot_data_2 = { - "profile": {"name": "Espresso Classic"}, - "time": 1705320100, - "data": [{"time": 28000, "shot": {"weight": 38.0}}], - } - - mock_fetch_shot.side_effect = [shot_data_1, shot_data_2] - - response = client.get("/api/shots/by-profile/Espresso%20Classic?limit=10") - - assert response.status_code == 200 - data = response.json() - assert data["profile_name"] == "Espresso Classic" - assert data["count"] == 2 - assert len(data["shots"]) == 2 - # Sorted newest-first by timestamp - assert data["shots"][0]["final_weight"] == 38.0 - assert data["shots"][1]["final_weight"] == 36.5 - - @patch("api.routes.shots._get_cached_shots") - def test_get_shots_by_profile_from_cache(self, mock_get_cache, client): - """Test returning cached shots when available.""" - cached_data = { - "profile_name": "Cached Profile", - "shots": [{"date": "2024-01-15", "filename": "shot_001.json"}], - "count": 1, - "limit": 10, - } - - mock_get_cache.return_value = (cached_data, False, 1705320000.0) - - response = client.get("/api/shots/by-profile/Cached%20Profile") - - assert response.status_code == 200 - data = response.json() - assert data["profile_name"] == "Cached Profile" - assert data["count"] == 1 - assert "cached_at" in data - assert data["is_stale"] is False - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - def test_get_shots_by_profile_api_error( - self, mock_get_cache, mock_get_dates, client - ): - """Test error handling when machine API fails.""" - mock_get_cache.return_value = (None, False, None) - - mock_result = MagicMock() - mock_result.error = "Connection timeout" - mock_get_dates.return_value = mock_result - - response = client.get("/api/shots/by-profile/Test%20Profile") - - assert response.status_code == 502 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_no_matches( - self, - mock_set_cache, - mock_get_cache, - mock_fetch_shot, - mock_get_dates, - mock_get_files, - client, - ): - """Test when no shots match the profile.""" - mock_get_cache.return_value = (None, False, None) - - date1 = type("Date", (), {})() - date1.name = "2024-01-15" - date1.error = None - mock_get_dates.return_value = [date1] - - file1 = type("File", (), {})() - file1.name = "shot_001.json" - file1.error = None - mock_get_files.return_value = [file1] - - # Shot with different profile name - shot_data = { - "profile_name": "Different Profile", - "time": 1705320000, - "data": [], - } - mock_fetch_shot.return_value = shot_data - - response = client.get("/api/shots/by-profile/Nonexistent%20Profile") - - assert response.status_code == 200 - data = response.json() - assert data["count"] == 0 - assert len(data["shots"]) == 0 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_with_limit( - self, - mock_set_cache, - mock_get_cache, - mock_fetch_shot, - mock_get_dates, - mock_get_files, - client, - ): - """Test limit parameter works correctly.""" - mock_get_cache.return_value = (None, False, None) - - date1 = type("Date", (), {})() - date1.name = "2024-01-15" - date1.error = None - mock_get_dates.return_value = [date1] - - # Create file objects properly - files = [] - for i in range(5): - f = type("File", (), {})() - f.name = f"shot_{i:03d}.json" - f.error = None - files.append(f) - mock_get_files.return_value = files - - # All shots match - def create_shot_data(i): - return { - "profile_name": "Test Profile", - "time": 1705320000 + i, - "data": [{"time": 25000, "shot": {"weight": 36.0 + i}}], - } - - mock_fetch_shot.side_effect = [create_shot_data(i) for i in range(5)] - - response = client.get("/api/shots/by-profile/Test%20Profile?limit=2") - - assert response.status_code == 200 - data = response.json() - assert data["count"] == 2 - assert data["limit"] == 2 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - def test_get_shots_by_profile_include_data( - self, mock_get_cache, mock_fetch_shot, mock_get_dates, mock_get_files, client - ): - """Test including full shot data in response.""" - mock_get_cache.return_value = (None, False, None) - - date1 = MagicMock() - date1.name = "2024-01-15" - mock_get_dates.return_value = [date1] - - file1 = MagicMock() - file1.name = "shot_001.json" - mock_get_files.return_value = [file1] - - shot_data = { - "profile_name": "Full Data Profile", - "time": 1705320000, - "data": [ - {"time": 10000, "shot": {"weight": 10.0, "pressure": 9.0}}, - {"time": 25000, "shot": {"weight": 36.0, "pressure": 9.0}}, - ], - } - mock_fetch_shot.return_value = shot_data - - response = client.get( - "/api/shots/by-profile/Full%20Data%20Profile?include_data=true" - ) - - assert response.status_code == 200 - data = response.json() - assert data["count"] == 1 - assert "data" in data["shots"][0] - assert len(data["shots"][0]["data"]["data"]) == 2 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_case_insensitive( - self, - mock_set_cache, - mock_get_cache, - mock_fetch_shot, - mock_get_dates, - mock_get_files, - client, - ): - """Test profile name matching is case-insensitive.""" - mock_get_cache.return_value = (None, False, None) - - date1 = type("Date", (), {})() - date1.name = "2024-01-15" - date1.error = None - mock_get_dates.return_value = [date1] - - file1 = type("File", (), {})() - file1.name = "shot_001.json" - file1.error = None - mock_get_files.return_value = [file1] - - shot_data = { - "profile_name": "ESPRESSO CLASSIC", - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.0}}], - } - mock_fetch_shot.return_value = shot_data - - response = client.get("/api/shots/by-profile/espresso%20classic") - - assert response.status_code == 200 - data = response.json() - assert data["count"] == 1 - - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_force_refresh( - self, mock_set_cache, mock_get_dates, mock_get_cache, client - ): - """Test force_refresh parameter bypasses cache.""" - # Cache exists but should be ignored - cached_data = {"profile_name": "Cached", "shots": [], "count": 0} - mock_get_cache.return_value = (cached_data, False, 1705320000.0) - - mock_get_dates.return_value = [] - - response = client.get("/api/shots/by-profile/Test?force_refresh=true") - - assert response.status_code == 200 - # Should hit API, not cache - mock_get_dates.assert_called_once() - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots._get_cached_shots") - @patch("api.routes.shots._set_cached_shots") - def test_get_shots_by_profile_partial_shot_errors( - self, - mock_set_cache, - mock_get_cache, - mock_fetch_shot, - mock_get_dates, - mock_get_files, - client, - ): - """Test continues when individual shot fetch fails.""" - mock_get_cache.return_value = (None, False, None) - - date1 = type("Date", (), {})() - date1.name = "2024-01-15" - date1.error = None - mock_get_dates.return_value = [date1] - - file1 = type("File", (), {})() - file1.name = "good.json" - file1.error = None - file2 = type("File", (), {})() - file2.name = "bad.json" - file2.error = None - mock_get_files.return_value = [file1, file2] - - good_shot = { - "profile_name": "Test", - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.0}}], - } - - # First succeeds, second fails - mock_fetch_shot.side_effect = [good_shot, Exception("Corrupted file")] - - response = client.get("/api/shots/by-profile/Test") - - assert response.status_code == 200 - data = response.json() - assert data["count"] == 1 # Only the good shot - - -class TestImageProxyEndpoint: - """Tests for the /api/profile/{profile_name}/image-proxy endpoint.""" - - @patch("api.routes.profiles._get_cached_image") - def test_image_proxy_from_cache(self, mock_get_cache, client): - """Test returning cached image.""" - mock_get_cache.return_value = b"fake_png_data" - - response = client.get("/api/profile/Test%20Profile/image-proxy") - - assert response.status_code == 200 - assert response.headers["content-type"] == "image/png" - assert response.content == b"fake_png_data" - - @patch("api.routes.profiles._get_cached_image") - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_image_proxy_profile_not_found_returns_placeholder( - self, mock_list_profiles, mock_get_cache, client - ): - """Test placeholder SVG returned when profile not found.""" - mock_get_cache.return_value = None - - mock_list_profiles.return_value = [] - - response = client.get("/api/profile/Nonexistent/image-proxy") - - # Returns placeholder SVG instead of 404 - assert response.status_code == 200 - assert response.headers["content-type"] == "image/svg+xml" - assert b" 0 # Should use gravimetric_flow - - def test_format_dynamics_over_weight(self): - """Test dynamics description over weight.""" - from services.analysis_service import _format_dynamics_description - - stage = { - "type": "flow", - "dynamics_points": [[0, 2.0], [40, 3.0]], - "dynamics_over": "weight", - } - result = _format_dynamics_description(stage) - assert "g" in result # Should use weight unit - - def test_format_dynamics_with_variable_references(self): - """Test dynamics description with $variable references resolves correctly.""" - from services.analysis_service import _format_dynamics_description - - variables = [ - { - "key": "bloom_pressure", - "name": "Bloom Pressure", - "type": "pressure", - "value": 3.5, - }, - { - "key": "peak_pressure", - "name": "Peak Pressure", - "type": "pressure", - "value": 9.0, - }, - ] - - # Single point with variable - stage = { - "type": "pressure", - "dynamics_points": [[0, "$bloom_pressure"]], - } - result = _format_dynamics_description(stage, variables) - assert "3.5" in result - assert "$" not in result - - # Two points with variables - should produce ramp description - stage_ramp = { - "type": "pressure", - "dynamics_points": [[0, "$bloom_pressure"], [5, "$peak_pressure"]], - } - result = _format_dynamics_description(stage_ramp, variables) - assert "3.5" in result - assert "9.0" in result - assert "$" not in result - assert "ramp up" in result - - def test_analyze_stage_execution_with_variable_dynamics(self): - """Test that stage analysis handles $variable references in dynamics_points without crashing.""" - from services.analysis_service import _analyze_stage_execution - - variables = [ - { - "key": "decline_pressure", - "name": "Decline Pressure", - "type": "pressure", - "value": 6.0, - }, - ] - - profile_stage = { - "name": "Sweet Decline", - "key": "sweet_decline", - "type": "pressure", - "dynamics_points": [[0, 9.0], [10, "$decline_pressure"]], - "exit_triggers": [{"type": "weight", "value": 40, "comparison": ">="}], - "limits": [], - } - - shot_stage_data = { - "duration": 8.5, - "start_weight": 20.0, - "end_weight": 35.0, - "start_pressure": 8.8, - "end_pressure": 6.2, - "avg_pressure": 7.5, - "max_pressure": 8.9, - "min_pressure": 6.1, - "start_flow": 2.0, - "end_flow": 1.8, - "avg_flow": 1.9, - "max_flow": 2.1, - } - - # This should NOT raise TypeError: can't multiply sequence by non-int of type 'float' - result = _analyze_stage_execution( - profile_stage, shot_stage_data, 30.0, variables - ) - - assert result["executed"] is True - assert result["stage_name"] == "Sweet Decline" - # The target value should have been resolved from "$decline_pressure" to 6.0 - assert result["profile_target"] is not None - assert "$" not in result["profile_target"] - - -class TestDataDirectoryConfiguration: - """Tests for DATA_DIR configuration and TEST_MODE.""" - - def test_data_dir_uses_temp_in_test_mode(self): - """Test that DATA_DIR uses temp directory when TEST_MODE is true.""" - from config import DATA_DIR, TEST_MODE - import tempfile - - # Verify TEST_MODE is enabled (set by conftest.py) - assert TEST_MODE is True - - # Verify DATA_DIR uses temp directory - temp_base = Path(tempfile.gettempdir()) - assert str(DATA_DIR).startswith(str(temp_base)) - - def test_data_dir_exists_in_test_mode(self): - """Test that DATA_DIR is created in test mode.""" - from config import DATA_DIR - - # DATA_DIR should be created during import - assert DATA_DIR.exists() - assert DATA_DIR.is_dir() - - def test_all_data_files_use_data_dir(self): - """Test that all data file paths use DATA_DIR.""" - from config import DATA_DIR - from services.settings_service import SETTINGS_FILE - from services.history_service import HISTORY_FILE - from services.cache_service import ( - LLM_CACHE_FILE, - SHOT_CACHE_FILE, - IMAGE_CACHE_DIR, - ) - - # All paths should be under DATA_DIR - assert SETTINGS_FILE.parent == DATA_DIR - assert HISTORY_FILE.parent == DATA_DIR - assert LLM_CACHE_FILE.parent == DATA_DIR - assert SHOT_CACHE_FILE.parent == DATA_DIR - assert IMAGE_CACHE_DIR.parent == DATA_DIR - - -class TestImagePromptErrorHandling: - """Tests for image prompt generation error handling.""" - - @patch("services.meticulous_service.get_meticulous_api") - def test_generate_image_with_invalid_prompt_result_none(self, mock_get_api, client): - """Test image generation when prompt builder returns None.""" - # Mock API to return profile exists - mock_api = MagicMock() - mock_get_api.return_value = mock_api - - partial_profile = MagicMock() - partial_profile.name = "TestProfile" - partial_profile.id = "p-123" - mock_api.list_profiles.return_value = [partial_profile] - - # Mock prompt builder to return None - with patch( - "prompt_builder.build_image_prompt_with_metadata", return_value=None - ): - response = client.post( - "/api/profile/TestProfile/generate-image", params={"preview": "true"} - ) - - # Should return 500 error - assert response.status_code == 500 - assert ( - "Failed to build image generation prompt" in response.json()["detail"] - ) - - @patch("services.meticulous_service.get_meticulous_api") - def test_generate_image_with_invalid_prompt_result_not_dict( - self, mock_get_api, client - ): - """Test image generation when prompt builder returns non-dict.""" - # Mock API to return profile exists - mock_api = MagicMock() - mock_get_api.return_value = mock_api - - partial_profile = MagicMock() - partial_profile.name = "TestProfile" - partial_profile.id = "p-123" - mock_api.list_profiles.return_value = [partial_profile] - - # Mock prompt builder to return a string instead of dict - with patch( - "prompt_builder.build_image_prompt_with_metadata", return_value="invalid" - ): - response = client.post( - "/api/profile/TestProfile/generate-image", params={"preview": "true"} - ) - - # Should return 500 error - assert response.status_code == 500 - assert ( - "Failed to build image generation prompt" in response.json()["detail"] - ) - - @patch("services.meticulous_service.get_meticulous_api") - def test_generate_image_with_valid_prompt_result(self, mock_get_api, client): - """Test image generation with valid prompt result doesn't fail at validation.""" - # Mock API to return profile exists - mock_api = MagicMock() - mock_get_api.return_value = mock_api - - partial_profile = MagicMock() - partial_profile.name = "TestProfile" - partial_profile.id = "p-123" - mock_api.list_profiles.return_value = [partial_profile] - - # Mock valid prompt result - valid_prompt = { - "prompt": "A beautiful coffee image", - "metadata": {"influences_found": 2, "selected_colors": ["brown", "cream"]}, - } - - with patch( - "prompt_builder.build_image_prompt_with_metadata", return_value=valid_prompt - ): - response = client.post( - "/api/profile/TestProfile/generate-image", params={"preview": "true"} - ) - - # Should not fail with prompt validation error - # May fail later for other reasons (gemini CLI, etc.) - if response.status_code == 500: - error_detail = str(response.json().get("detail", "")) - assert "Failed to build image generation prompt" not in error_detail - - -class TestDataFileManagement: - """Tests for data file ensure functions and management.""" - - def testensure_settings_file_creates_file(self): - """Test that ensure_settings_file creates settings file.""" - from services.settings_service import ensure_settings_file, SETTINGS_FILE - - # Delete file if it exists - if SETTINGS_FILE.exists(): - SETTINGS_FILE.unlink() - - # Call ensure function - ensure_settings_file() - - # File should now exist - assert SETTINGS_FILE.exists() - - # Should contain valid JSON - with open(SETTINGS_FILE) as f: - settings = json.load(f) - assert isinstance(settings, dict) - assert "geminiApiKey" in settings - - def test_ensure_history_file_creates_file(self): - """Test that _ensure_history_file creates history file.""" - from services.history_service import ensure_history_file, HISTORY_FILE - - # Delete file if it exists - if HISTORY_FILE.exists(): - HISTORY_FILE.unlink() - - # Call ensure function - ensure_history_file() - - # File should now exist - assert HISTORY_FILE.exists() - - # Should contain empty array - with open(HISTORY_FILE) as f: - history = json.load(f) - assert isinstance(history, list) - assert len(history) == 0 - - def test_ensure_llm_cache_file_creates_file(self): - """Test that _ensure_llm_cache_file creates cache file.""" - from services.cache_service import _ensure_llm_cache_file, LLM_CACHE_FILE - - # Delete file if it exists - if LLM_CACHE_FILE.exists(): - LLM_CACHE_FILE.unlink() - - # Call ensure function - _ensure_llm_cache_file() - - # File should now exist - assert LLM_CACHE_FILE.exists() - - # Should contain empty dict - with open(LLM_CACHE_FILE) as f: - cache = json.load(f) - assert isinstance(cache, dict) - assert len(cache) == 0 - - def test_ensure_shot_cache_file_creates_file(self): - """Test that _ensure_shot_cache_file creates cache file.""" - from services.cache_service import _ensure_shot_cache_file, SHOT_CACHE_FILE - - # Delete file if it exists - if SHOT_CACHE_FILE.exists(): - SHOT_CACHE_FILE.unlink() - - # Call ensure function - _ensure_shot_cache_file() - - # File should now exist - assert SHOT_CACHE_FILE.exists() - - # Should contain empty dict - with open(SHOT_CACHE_FILE) as f: - cache = json.load(f) - assert isinstance(cache, dict) - - def test_ensure_image_cache_dir_creates_directory(self): - """Test that _ensure_image_cache_dir creates directory.""" - from services.cache_service import _ensure_image_cache_dir, IMAGE_CACHE_DIR - import shutil - - # Delete directory if it exists - if IMAGE_CACHE_DIR.exists(): - shutil.rmtree(IMAGE_CACHE_DIR) - - # Call ensure function - _ensure_image_cache_dir() - - # Directory should now exist - assert IMAGE_CACHE_DIR.exists() - assert IMAGE_CACHE_DIR.is_dir() - - def test_save_and_load_history(self): - """Test saving and loading history.""" - from services.history_service import ( - save_history as _save_history, - load_history as _load_history, - ) - - test_history = [ - {"id": "123", "profile_name": "Test", "created_at": "2024-01-01"} - ] - - _save_history(test_history) - loaded = _load_history() - - assert len(loaded) == 1 - assert loaded[0]["id"] == "123" - assert loaded[0]["profile_name"] == "Test" - - def test_load_history_with_valid_file(self): - """Test loading history with existing valid file.""" - from services.history_service import load_history as _load_history, HISTORY_FILE - - # Create a valid history file with proper v2 schema fields - test_data = [ - { - "id": "test123", - "profile_name": "TestProfile", - "reply": "**Profile Created:** TestProfile\n", - } - ] - with open(HISTORY_FILE, "w") as f: - json.dump(test_data, f) - - history = _load_history() - assert len(history) == 1 - assert history[0]["id"] == "test123" - assert history[0]["profile_name"] == "TestProfile" - - def test_load_history_filters_malformed_entries(self): - """Test that load_history drops entries without profile_name or reply.""" - from services.history_service import load_history as _load_history, HISTORY_FILE - - # Mix of valid and invalid entries - test_data = [ - {"id": "valid1", "profile_name": "Good Entry", "reply": "some reply"}, - {"id": "bad1", "name": "TestProfile"}, # missing profile_name AND reply - { - "id": "valid2", - "reply": "**Profile Created:** Another\n", - }, # has reply, no profile_name - {"id": "bad2"}, # missing everything - ] - with open(HISTORY_FILE, "w") as f: - json.dump(test_data, f) - - history = _load_history() - assert len(history) == 2 - assert history[0]["id"] == "valid1" - assert history[1]["id"] == "valid2" - - -class TestCacheManagementFunctions: - """Tests for cache management helper functions.""" - - def test_llm_cache_save_and_load(self): - """Test LLM cache save and load operations.""" - from services.cache_service import ( - save_llm_analysis_to_cache, - get_cached_llm_analysis, - ) - - # Save an analysis - save_llm_analysis_to_cache( - "TestProfile", "2024-01-15", "shot.json", "Test analysis result" - ) - - # Load it back - result = get_cached_llm_analysis("TestProfile", "2024-01-15", "shot.json") - - assert result == "Test analysis result" - - def test_llm_cache_miss(self): - """Test LLM cache miss returns None.""" - from services.cache_service import get_cached_llm_analysis - - # Try to get non-existent cache entry - result = get_cached_llm_analysis("NonExistent", "2024-01-15", "missing.json") - - assert result is None - - def test_shot_cache_operations(self): - """Test shot cache set and get operations.""" - from services.cache_service import _set_cached_shots, _get_cached_shots - - test_data = {"shots": [{"id": 1, "weight": 36.0}]} - - # Set cache - _set_cached_shots("TestProfile", test_data, limit=100) - - # Get cache - result, is_stale, cached_at = _get_cached_shots("TestProfile", limit=100) - - assert result is not None - assert "shots" in result - assert isinstance(is_stale, bool) - - def test_shot_cache_miss(self): - """Test shot cache miss returns None.""" - from services.cache_service import _get_cached_shots - - result, is_stale, cached_at = _get_cached_shots("NonExistentProfile", limit=100) - - assert result is None - - -class TestSettingsManagement: - """Tests for settings management functions.""" - - def test_settings_load(self): - """Test loading settings from file.""" - from services.settings_service import SETTINGS_FILE, ensure_settings_file - - # Ensure file exists - ensure_settings_file() - - # Load and verify structure - with open(SETTINGS_FILE) as f: - settings = json.load(f) - - assert isinstance(settings, dict) - assert "geminiApiKey" in settings - assert "meticulousIp" in settings - assert "serverIp" in settings - assert "authorName" in settings - - def test_settings_update(self): - """Test updating settings.""" - from services.settings_service import SETTINGS_FILE, ensure_settings_file - - ensure_settings_file() - - # Update settings - new_settings = { - "geminiApiKey": "test_key", - "meticulousIp": "192.168.1.1", - "serverIp": "192.168.1.2", - "authorName": "Test Author", - } - - with open(SETTINGS_FILE, "w") as f: - json.dump(new_settings, f) - - # Read back and verify - with open(SETTINGS_FILE) as f: - settings = json.load(f) - - assert settings["geminiApiKey"] == "test_key" - assert settings["authorName"] == "Test Author" - - -class TestSanitizationHelpers: - """Tests for profile-name sanitization helpers.""" - - def test_sanitize_profile_name(self): - """Test profile name sanitization for filenames.""" - from utils.sanitization import sanitize_profile_name_for_filename - - # Test various special characters (converts to lowercase) - assert sanitize_profile_name_for_filename("Test/Profile") == "test_profile" - assert sanitize_profile_name_for_filename("Test\\Profile") == "test_profile" - assert sanitize_profile_name_for_filename("Test:Profile") == "test_profile" - assert sanitize_profile_name_for_filename("Normal_Name") == "normal_name" - assert sanitize_profile_name_for_filename("Test Profile") == "test_profile" - - -class TestHealthEndpoint: - """Tests for the /api/health endpoint.""" - - def test_health_endpoint_returns_200(self, client): - """Test health endpoint returns 200 OK.""" - response = client.get("/api/health") - assert response.status_code == 200 - - def test_health_endpoint_returns_status_ok(self, client): - """Test health endpoint returns correct JSON body.""" - response = client.get("/api/health") - data = response.json() - assert data == {"status": "ok"} - - def test_health_endpoint_is_fast(self, client): - """Test health endpoint responds quickly (no heavy logic).""" - import time - - start = time.time() - response = client.get("/api/health") - elapsed = time.time() - start - assert response.status_code == 200 - assert elapsed < 1.0 # Should be near-instant - - -class TestVersionEndpoint: - """Tests for the /api/version endpoint.""" - - def test_version_endpoint_basic_structure(self, client): - """Test basic version endpoint returns correct structure.""" - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - assert "version" in data - assert "repo_url" in data - # Should always have a repo URL (at minimum the default) - assert isinstance(data["repo_url"], str) - assert len(data["repo_url"]) > 0 - - def test_version_endpoint_returns_default_fallback(self, client): - """Test that version endpoint returns a valid URL.""" - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - # Should be a GitHub URL - assert "github.com" in data["repo_url"] - assert "Metic" in data["repo_url"] - - def test_version_endpoint_handles_errors_gracefully(self, client): - """Test that version endpoint doesn't crash even if files are missing.""" - # Even if all files are missing, endpoint should work - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - # Should have all required keys even on error - assert "version" in data - assert "repo_url" in data - - # Verify history can be retrieved and has expected structure - response2 = client.get("/api/history") - data = response2.json() - # Should have minimal or no history in entries - assert isinstance(data.get("entries", []), list) - - -class TestVersionEndpointDetailed: - """Detailed tests for the /api/version endpoint.""" - - def test_version_endpoint_exists(self, client): - """Test that /api/version endpoint exists and is accessible.""" - response = client.get("/api/version") - assert response.status_code == 200 - - def test_version_returns_expected_json_structure(self, client): - """Test that /api/version returns the expected JSON structure with all required keys.""" - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - # Check all required keys are present (unified version) - assert "version" in data - assert "repo_url" in data - - # Check that values are strings - assert isinstance(data["version"], str) - assert isinstance(data["repo_url"], str) - - # Check that repo URL is the expected value - assert data["repo_url"] == "https://github.com/hessius/MeticAI" - - @patch("api.routes.system.Path") - def test_version_with_existing_version_files(self, mock_path, client): - """Test that /api/version correctly reads VERSION file when it exists.""" - # Due to complexity of mocking Path internals, just verify endpoint works - response = client.get("/api/version") - assert response.status_code == 200 - data = response.json() - assert "version" in data - assert "repo_url" in data - - def test_version_with_missing_version_files(self, client): - """Test that /api/version defaults to 'unknown' when VERSION file doesn't exist.""" - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - assert "version" in data - assert "repo_url" in data - assert data["repo_url"] == "https://github.com/hessius/MeticAI" - assert isinstance(data["version"], str) - - @patch("api.routes.system.Path") - def test_version_handles_file_read_errors(self, mock_path, client): - """Test that /api/version handles file read errors gracefully.""" - mock_file = Mock() - mock_file.exists.return_value = True - mock_file.read_text.side_effect = Exception("File read error") - mock_path.return_value.__truediv__ = Mock(return_value=mock_file) - - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - assert "version" in data - assert "repo_url" in data - - @patch("api.routes.system.Path") - def test_version_parses_version_file(self, mock_path, client): - """Test that /api/version correctly reads the VERSION file.""" - # Due to complexity of mocking Path internals, just verify endpoint works - response = client.get("/api/version") - - # Endpoint should work even with complex mocking - assert response.status_code == 200 - data = response.json() - assert "version" in data - - def test_version_endpoint_cors_enabled(self, client): - """Test that /api/version endpoint has CORS enabled for web app.""" - response = client.get( - "/api/version", headers={"Origin": "http://localhost:3550"} - ) - - assert response.status_code == 200 - assert "access-control-allow-origin" in response.headers - - def test_version_in_openapi_schema(self, client): - """Test that /api/version endpoint is registered in OpenAPI schema.""" - response = client.get("/openapi.json") - assert response.status_code == 200 - - openapi_data = response.json() - assert "/api/version" in openapi_data["paths"] - assert "get" in openapi_data["paths"]["/api/version"] - - -class TestNetworkIpEndpoint: - """Tests for the /api/network-ip endpoint.""" - - def test_network_ip_returns_200(self, client): - """Test that /api/network-ip responds with 200.""" - response = client.get("/api/network-ip") - assert response.status_code == 200 - - def test_network_ip_returns_ip_field(self, client): - """Test that /api/network-ip returns an 'ip' field.""" - response = client.get("/api/network-ip") - data = response.json() - assert "ip" in data - assert isinstance(data["ip"], str) - - @patch("api.routes.system.socket") - def test_network_ip_uses_udp_socket(self, mock_socket_mod, client): - """Test that the endpoint tries the UDP socket trick first.""" - mock_sock = Mock() - mock_sock.getsockname.return_value = ("192.168.1.42", 0) - mock_sock.__enter__ = Mock(return_value=mock_sock) - mock_sock.__exit__ = Mock(return_value=False) - mock_socket_mod.socket.return_value = mock_sock - mock_socket_mod.AF_INET = 2 - mock_socket_mod.SOCK_DGRAM = 2 - - response = client.get("/api/network-ip") - assert response.status_code == 200 - data = response.json() - assert data["ip"] == "192.168.1.42" - - @patch("api.routes.system.socket") - def test_network_ip_fallback_to_hostname(self, mock_socket_mod, client): - """Test fallback to hostname resolution when UDP fails.""" - mock_sock = Mock() - mock_sock.__enter__ = Mock(return_value=mock_sock) - mock_sock.__exit__ = Mock(return_value=False) - mock_sock.connect.side_effect = OSError("No network") - mock_socket_mod.socket.return_value = mock_sock - mock_socket_mod.AF_INET = 2 - mock_socket_mod.SOCK_DGRAM = 2 - mock_socket_mod.gethostname.return_value = "myhost" - mock_socket_mod.gethostbyname.return_value = "10.0.0.5" - - response = client.get("/api/network-ip") - assert response.status_code == 200 - data = response.json() - assert data["ip"] == "10.0.0.5" - - -class TestRunShotEndpoints: - """Tests for the Run Shot / Machine control endpoints.""" - - @patch("api.routes.scheduling.async_get_last_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_settings", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_session_get", new_callable=AsyncMock) - def test_machine_status_endpoint( - self, mock_session_get, mock_get_settings, mock_get_last_profile, client - ): - """Test GET /api/machine/status endpoint.""" - # Mock the async wrapper responses - mock_status_response = MagicMock() - mock_status_response.status_code = 200 - mock_status_response.json.return_value = {"state": "idle"} - mock_session_get.return_value = mock_status_response - mock_get_settings.return_value = MagicMock(auto_preheat=0) - mock_get_last_profile.return_value = MagicMock( - profile=MagicMock(id="test-123", name="Test Profile") - ) - - response = client.get("/api/machine/status") - - # Should return status info - assert response.status_code == 200 - data = response.json() - assert "machine_status" in data or "status" in data or "scheduled_shots" in data - - @patch("api.routes.scheduling.async_get_last_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_settings", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_session_get", new_callable=AsyncMock) - def test_machine_status_no_connection( - self, mock_session_get, mock_get_settings, mock_get_last_profile, client - ): - """Test machine status when machine is not reachable.""" - # Simulate connection error when trying to fetch status - mock_session_get.side_effect = requests.exceptions.ConnectionError( - "Connection refused" - ) - mock_get_settings.return_value = MagicMock(auto_preheat=0) - mock_get_last_profile.return_value = MagicMock(profile=None) - - response = client.get("/api/machine/status") - - # Should handle gracefully and return status with error info - assert response.status_code == 200 - data = response.json() - assert "machine_status" in data - # Connection error should be captured in the status - assert "error" in data["machine_status"] or "state" in data["machine_status"] - - @patch("api.routes.scheduling.async_get_last_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_settings", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_session_get", new_callable=AsyncMock) - def test_machine_status_api_unavailable( - self, mock_session_get, mock_get_settings, mock_get_last_profile, client - ): - """Test machine status when API is not available.""" - mock_session_get.side_effect = AttributeError( - "'NoneType' object has no attribute 'base_url'" - ) - mock_get_settings.side_effect = AttributeError( - "'NoneType' object has no attribute 'get_settings'" - ) - mock_get_last_profile.side_effect = AttributeError( - "'NoneType' object has no attribute 'get_last_profile'" - ) - - response = client.get("/api/machine/status") - - # Should handle gracefully - assert response.status_code in [200, 503] - - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_preheat_endpoint_success(self, mock_get_api, mock_execute_action, client): - """Test POST /api/machine/preheat endpoint.""" - mock_get_api.return_value = MagicMock() # Not None = connected - # Ensure the mock response doesn't have an error attribute - mock_result = MagicMock(spec=[]) # Empty spec means no 'error' attribute - mock_execute_action.return_value = mock_result - - response = client.post("/api/machine/preheat") - - assert response.status_code == 200 - data = response.json() - assert "message" in data - assert "preheat" in data["message"].lower() or "Preheat" in data["message"] - - @patch("api.routes.scheduling.async_load_profile_by_id", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_preheat_with_profile_preselection( - self, mock_get_api, mock_execute_action, mock_load, client - ): - """Test POST /api/machine/preheat with profile_id pre-selects the profile.""" - mock_get_api.return_value = MagicMock() - mock_result = MagicMock(spec=[]) - mock_execute_action.return_value = mock_result - mock_load.return_value = MagicMock(spec=[]) - - response = client.post( - "/api/machine/preheat", - json={"profile_id": "my-profile-123"}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["profile_preselected"] is True - mock_load.assert_called_once_with("my-profile-123") - - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_preheat_connection_error(self, mock_get_api, mock_execute_action, client): - """Test preheat when connection fails.""" - mock_get_api.return_value = MagicMock() # Not None = connected - # Simulate a connection error when trying to execute action - mock_execute_action.side_effect = Exception("Connection refused") - - response = client.post("/api/machine/preheat") - - # Connection error should result in 500 (internal error handling the request) - assert response.status_code == 500 - data = response.json() - assert "detail" in data - # Connection errors are caught by the general exception handler - assert response.status_code == 500 - - @patch("api.routes.scheduling.get_meticulous_api") - def test_preheat_no_connection(self, mock_get_api, client): - """Test preheat when machine not connected.""" - mock_get_api.return_value = None - - response = client.post("/api/machine/preheat") - - assert response.status_code == 503 - - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_load_profile_by_id", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_run_profile_success( - self, mock_get_api, mock_load_profile, mock_execute_action, client - ): - """Test POST /api/machine/run-profile/{profile_id} endpoint.""" - mock_get_api.return_value = MagicMock() # Not None = connected - # Create mock results without 'error' attribute - mock_load_result = MagicMock(spec=["id", "name"]) - mock_load_result.id = "test-123" - mock_load_result.name = "Test" - mock_load_profile.return_value = mock_load_result - - mock_action_result = MagicMock(spec=["status", "action"]) - mock_action_result.status = "ok" - mock_action_result.action = "start" - mock_execute_action.return_value = mock_action_result - - response = client.post("/api/machine/run-profile/test-123") - - assert response.status_code == 200 - data = response.json() - assert "message" in data - - @patch("api.routes.scheduling.async_load_profile_by_id", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_run_profile_not_found(self, mock_get_api, mock_load_profile, client): - """Test running a profile that doesn't exist.""" - mock_get_api.return_value = MagicMock() # Not None = connected - # Create a mock result with error attribute - mock_result = MagicMock() - mock_result.error = "Profile not found" - mock_load_profile.return_value = mock_result - - response = client.post("/api/machine/run-profile/nonexistent") - - assert response.status_code == 502 - - @patch("api.routes.scheduling.async_load_profile_by_id", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_run_profile_connection_error( - self, mock_get_api, mock_load_profile, client - ): - """Test run profile when connection fails.""" - mock_get_api.return_value = MagicMock() # Not None = connected - # Simulate a connection error when trying to load the profile - mock_load_profile.side_effect = Exception("Connection refused") - - response = client.post("/api/machine/run-profile/test-123") - - # Connection error should result in 500 (internal error handling the request) - assert response.status_code == 500 - data = response.json() - assert "detail" in data - # Connection errors are caught by the general exception handler - assert response.status_code == 500 - - @patch("api.routes.scheduling.get_meticulous_api") - def test_run_profile_no_connection(self, mock_get_api, client): - """Test run profile when machine not connected.""" - mock_get_api.return_value = None - - response = client.post("/api/machine/run-profile/test-123") - - assert response.status_code == 503 - - def test_schedule_shot_success(self, client): - """Test POST /api/machine/schedule-shot endpoint.""" - from datetime import datetime, timedelta - - scheduled_time = (datetime.now() + timedelta(hours=1)).isoformat() - - response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": "test-123", - "scheduled_time": scheduled_time, - "preheat": False, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert "scheduled_shot" in data - assert data["scheduled_shot"]["profile_id"] == "test-123" - - def test_schedule_shot_with_preheat(self, client): - """Test scheduling a shot with preheat enabled.""" - from datetime import datetime, timedelta - - scheduled_time = (datetime.now() + timedelta(hours=1)).isoformat() - - response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": "test-456", - "scheduled_time": scheduled_time, - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["scheduled_shot"]["preheat"] - - def test_schedule_shot_preheat_only(self, client): - """Test scheduling preheat only without a profile.""" - from datetime import datetime, timedelta - - scheduled_time = (datetime.now() + timedelta(hours=1)).isoformat() - - response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": None, - "scheduled_time": scheduled_time, - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["scheduled_shot"]["profile_id"] is None - assert data["scheduled_shot"]["preheat"] - - def test_schedule_shot_invalid_no_profile_no_preheat(self, client): - """Test that scheduling without profile and without preheat fails.""" - from datetime import datetime, timedelta - - scheduled_time = (datetime.now() + timedelta(hours=1)).isoformat() - - response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": None, - "scheduled_time": scheduled_time, - "preheat": False, - }, - ) - - assert response.status_code == 400 - - def test_get_scheduled_shots(self, client): - """Test GET /api/machine/scheduled-shots endpoint.""" - response = client.get("/api/machine/scheduled-shots") - - assert response.status_code == 200 - data = response.json() - assert "scheduled_shots" in data - assert isinstance(data["scheduled_shots"], list) - - def test_cancel_scheduled_shot(self, client): - """Test DELETE /api/machine/schedule-shot/{schedule_id}.""" - from datetime import datetime, timedelta - - # First create a scheduled shot - scheduled_time = (datetime.now() + timedelta(hours=1)).isoformat() - create_response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": "test-cancel", - "scheduled_time": scheduled_time, - "preheat": False, - }, - ) - assert create_response.status_code == 200 - schedule_id = create_response.json()["scheduled_shot"]["id"] - - # Now cancel it - response = client.delete(f"/api/machine/schedule-shot/{schedule_id}") - - assert response.status_code == 200 - data = response.json() - assert "message" in data - - def test_cancel_nonexistent_scheduled_shot(self, client): - """Test canceling a scheduled shot that doesn't exist.""" - response = client.delete("/api/machine/schedule-shot/nonexistent-id-123") - - assert response.status_code == 404 - - -class TestScheduledShotsPersistence: - """Tests for scheduled shots persistence functionality.""" - - def test_persistence_save_and_load(self, tmp_path): - """Test saving and loading scheduled shots from disk.""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - # Create persistence instance with temp file - persistence_file = tmp_path / "test_scheduled_shots.json" - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Create test data - test_shots = { - "shot-1": { - "id": "shot-1", - "profile_id": "test-profile", - "scheduled_time": "2026-02-01T18:00:00Z", - "preheat": True, - "status": "scheduled", - "created_at": "2026-02-01T17:00:00Z", - }, - "shot-2": { - "id": "shot-2", - "profile_id": "test-profile-2", - "scheduled_time": "2026-02-01T19:00:00Z", - "preheat": False, - "status": "preheating", - "created_at": "2026-02-01T17:30:00Z", - }, - } - - # Save shots - asyncio.run(persistence.save(test_shots)) - - # Verify file was created - assert persistence_file.exists() - - # Load shots - loaded_shots = asyncio.run(persistence.load()) - - # Verify loaded data matches - assert len(loaded_shots) == 2 - assert "shot-1" in loaded_shots - assert "shot-2" in loaded_shots - assert loaded_shots["shot-1"]["profile_id"] == "test-profile" - assert loaded_shots["shot-2"]["preheat"] is False - - def test_persistence_filters_inactive_shots(self, tmp_path): - """Test that only active (scheduled/preheating) shots are persisted.""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "test_scheduled_shots.json" - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Create test data with mixed statuses - test_shots = { - "shot-1": {"id": "shot-1", "status": "scheduled"}, - "shot-2": {"id": "shot-2", "status": "preheating"}, - "shot-3": {"id": "shot-3", "status": "completed"}, - "shot-4": {"id": "shot-4", "status": "cancelled"}, - "shot-5": {"id": "shot-5", "status": "failed"}, - } - - # Save shots - asyncio.run(persistence.save(test_shots)) - - # Load and verify only active shots were saved - loaded_shots = asyncio.run(persistence.load()) - - assert len(loaded_shots) == 2 - assert "shot-1" in loaded_shots - assert "shot-2" in loaded_shots - assert "shot-3" not in loaded_shots - assert "shot-4" not in loaded_shots - assert "shot-5" not in loaded_shots - - def test_persistence_handles_missing_file(self, tmp_path): - """Test that loading from non-existent file returns empty dict.""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "nonexistent.json" - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Load from non-existent file - loaded_shots = asyncio.run(persistence.load()) - - assert loaded_shots == {} - - def test_persistence_handles_corrupt_file(self, tmp_path): - """Test that corrupt JSON file is handled gracefully.""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "corrupt.json" - - # Create a corrupt JSON file - with open(persistence_file, "w") as f: - f.write("{invalid json content") - - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Load should return empty dict and backup corrupt file - loaded_shots = asyncio.run(persistence.load()) - - assert loaded_shots == {} - # Corrupt file should be backed up - assert (tmp_path / "corrupt.corrupt").exists() - - def test_persistence_clear(self, tmp_path): - """Test clearing persisted scheduled shots.""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "test_scheduled_shots.json" - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Create and save test data - test_shots = {"shot-1": {"id": "shot-1", "status": "scheduled"}} - asyncio.run(persistence.save(test_shots)) - - assert persistence_file.exists() - - # Clear persistence - asyncio.run(persistence.clear()) - - assert not persistence_file.exists() - - def test_persistence_atomic_write(self, tmp_path): - """Test that writes are atomic (use temp file + rename).""" - import asyncio - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "test_scheduled_shots.json" - persistence = ScheduledShotsPersistence(str(persistence_file)) - - # Save some data - test_shots = {"shot-1": {"id": "shot-1", "status": "scheduled"}} - asyncio.run(persistence.save(test_shots)) - - # Verify no temp file remains after save - assert not (tmp_path / "test_scheduled_shots.tmp").exists() - - # Verify final file exists - assert persistence_file.exists() - - def test_scheduled_shot_persists_on_creation(self, client): - """Test that creating a scheduled shot persists it to disk.""" - from datetime import datetime, timedelta - import time - - # Schedule a shot - scheduled_time = (datetime.now() + timedelta(hours=2)).isoformat() - response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": "test-persist", - "scheduled_time": scheduled_time, - "preheat": True, - }, - ) - - assert response.status_code == 200 - schedule_id = response.json()["schedule_id"] - - # Give persistence a moment to complete - time.sleep(0.1) - - # Check that persistence file was created/updated - # Note: We can't easily check the file content in the test environment - # but we verified the save is called in the endpoint - assert schedule_id is not None - - def test_scheduled_shot_persists_on_cancellation(self, client): - """Test that cancelling a scheduled shot persists the status change.""" - from datetime import datetime, timedelta - import time - - # Create a scheduled shot - scheduled_time = (datetime.now() + timedelta(hours=2)).isoformat() - create_response = client.post( - "/api/machine/schedule-shot", - json={ - "profile_id": "test-cancel-persist", - "scheduled_time": scheduled_time, - "preheat": False, - }, - ) - - assert create_response.status_code == 200 - schedule_id = create_response.json()["schedule_id"] - - # Cancel it - cancel_response = client.delete(f"/api/machine/schedule-shot/{schedule_id}") - assert cancel_response.status_code == 200 - - # Give persistence a moment to complete - time.sleep(0.1) - - # Verify cancellation was successful - assert cancel_response.json()["status"] == "success" - - -class TestUtilityFunctions: - """Test utility functions for better coverage.""" - - def test_deep_convert_to_dict_with_none(self): - """Test deep_convert_to_dict with None.""" - result = utils.file_utils.deep_convert_to_dict(None) - assert result is None - - def test_deep_convert_to_dict_with_primitives(self): - """Test deep_convert_to_dict with primitive types.""" - assert utils.file_utils.deep_convert_to_dict("string") == "string" - assert utils.file_utils.deep_convert_to_dict(42) == 42 - assert utils.file_utils.deep_convert_to_dict(3.14) == 3.14 - assert utils.file_utils.deep_convert_to_dict(True) is True - - def test_deep_convert_to_dict_with_dict(self): - """Test deep_convert_to_dict with nested dict.""" - data = {"a": 1, "b": {"c": 2}} - result = utils.file_utils.deep_convert_to_dict(data) - assert result == {"a": 1, "b": {"c": 2}} - - def test_deep_convert_to_dict_with_list(self): - """Test deep_convert_to_dict with list and tuple.""" - assert utils.file_utils.deep_convert_to_dict([1, 2, 3]) == [1, 2, 3] - assert utils.file_utils.deep_convert_to_dict((1, 2, 3)) == [1, 2, 3] - - def test_deep_convert_to_dict_with_object(self): - """Test deep_convert_to_dict with object having __dict__.""" - - class TestObj: - def __init__(self): - self.public = "value" - self._private = "hidden" - - obj = TestObj() - result = utils.file_utils.deep_convert_to_dict(obj) - assert result == {"public": "value"} - assert "_private" not in result - - def test_deep_convert_to_dict_with_unconvertible_type(self): - """Test deep_convert_to_dict with type that can be stringified.""" - import datetime - - dt = datetime.datetime(2024, 1, 1, 12, 0, 0) - result = utils.file_utils.deep_convert_to_dict(dt) - assert isinstance(result, str) - assert "2024" in result - - def test_deep_convert_to_dict_with_exception_during_str(self): - """Test deep_convert_to_dict with object that fails str().""" - - class BadStr: - def __str__(self): - raise ValueError("Cannot convert") - - result = utils.file_utils.deep_convert_to_dict(BadStr()) - # Object has __dict__, so it returns empty dict - assert result == {} - - def test_atomic_write_json_success(self, tmp_path): - """Test atomic_write_json successfully writes file.""" - filepath = tmp_path / "test.json" - data = {"key": "value", "number": 42} - - utils.file_utils.atomic_write_json(filepath, data) - - assert filepath.exists() - with open(filepath) as f: - loaded = json.load(f) - assert loaded == data - - def test_atomic_write_json_with_invalid_path(self, tmp_path): - """Test atomic_write_json handles invalid path errors.""" - # Try to write to a path that requires the parent to be a file - file_path = tmp_path / "file.txt" - file_path.write_text("content") - - # Try to write to a "subdirectory" of the file (invalid) - invalid_path = file_path / "subdir" / "test.json" - - data = {"key": "value"} - - with pytest.raises((OSError, FileNotFoundError, AttributeError)): - utils.file_utils.atomic_write_json(invalid_path, data) - - def test_atomic_write_json_cleanup_on_failure(self, tmp_path, monkeypatch): - """Test atomic_write_json cleans up temp file on failure.""" - filepath = tmp_path / "test.json" - data = {"key": "value"} - - # Mock os.replace to raise an exception (atomic_write_json uses os.replace) - def failing_replace(src, dst): - raise OSError("Simulated replace failure") - - monkeypatch.setattr(os, "replace", failing_replace) - - with pytest.raises(OSError): - utils.file_utils.atomic_write_json(filepath, data) - - # Original file should not exist - assert not filepath.exists() - - # No temp files should remain - temp_files = list(tmp_path.glob(".test.json.*.tmp")) - assert len(temp_files) == 0 - - -class TestStartupAndLifespan: - """Test startup and lifespan management.""" - - @pytest.mark.asyncio - async def test_check_for_updates_task_script_not_found(self, monkeypatch): - """Test check_for_updates_task when script doesn't exist.""" - - # Mock Path.exists to return False - def mock_exists(self): - return False - - monkeypatch.setattr(Path, "exists", mock_exists) - - # Should complete without error - await main.check_for_updates_task() - - @pytest.mark.asyncio - async def test_check_for_updates_task_success(self, monkeypatch, tmp_path): - """Test check_for_updates_task with successful execution.""" - script_path = tmp_path / "update.sh" - script_path.write_text("#!/bin/bash\necho 'Update check'\nexit 0\n") - script_path.chmod(0o755) - - # Mock the script path - monkeypatch.setattr( - main, "Path", lambda x: script_path if x == "/app/update.sh" else Path(x) - ) - - # Mock subprocess.run - async def mock_run(*args, **kwargs): - import subprocess - - return subprocess.CompletedProcess( - args=args[0], returncode=0, stdout="Check complete", stderr="" - ) - - import asyncio - - async def mock_to_thread(func, *args, **kwargs): - # Simulate subprocess.run result - import subprocess - - return subprocess.CompletedProcess( - args=["bash", str(script_path), "--check-only"], - returncode=0, - stdout="Check complete", - stderr="", - ) - - monkeypatch.setattr(asyncio, "to_thread", mock_to_thread) - - # Should complete successfully - await main.check_for_updates_task() - - @pytest.mark.asyncio - async def test_check_for_updates_task_non_zero_exit(self, monkeypatch): - """Test check_for_updates_task with non-zero exit code.""" - # Mock Path.exists to return True - monkeypatch.setattr(Path, "exists", lambda self: True) - - # Mock subprocess to return non-zero exit - import asyncio - - async def mock_to_thread(func, *args, **kwargs): - import subprocess - - return subprocess.CompletedProcess( - args=args, returncode=1, stdout="", stderr="Error occurred" - ) - - monkeypatch.setattr(asyncio, "to_thread", mock_to_thread) - - # Should log warning but not raise - await main.check_for_updates_task() - - @pytest.mark.asyncio - async def test_check_for_updates_task_timeout(self, monkeypatch): - """Test check_for_updates_task with timeout.""" - # Mock Path.exists to return True - monkeypatch.setattr(Path, "exists", lambda self: True) - - # Mock subprocess to raise TimeoutExpired - import asyncio - import subprocess - - async def mock_to_thread(func, *args, **kwargs): - raise subprocess.TimeoutExpired(cmd=args, timeout=120) - - monkeypatch.setattr(asyncio, "to_thread", mock_to_thread) - - # Should log error but not raise - await main.check_for_updates_task() - - @pytest.mark.asyncio - async def test_check_for_updates_task_generic_exception(self, monkeypatch): - """Test check_for_updates_task with generic exception.""" - # Mock Path.exists to return True - monkeypatch.setattr(Path, "exists", lambda self: True) - - # Mock subprocess to raise exception - import asyncio - - async def mock_to_thread(func, *args, **kwargs): - raise RuntimeError("Unexpected error") - - monkeypatch.setattr(asyncio, "to_thread", mock_to_thread) - - # Should log error but not raise - await main.check_for_updates_task() - - -class TestParseGeminiErrorExtended: - """Extended tests for parse_gemini_error function.""" - - def test_parse_gemini_error_quota_exhausted(self): - """Test quota exhausted error.""" - error = "Error: Quota exhausted for the day" - result = services.gemini_service.parse_gemini_error(error) - assert "quota" in result.lower() - assert "tomorrow" in result.lower() - - def test_parse_gemini_error_rate_limit(self): - """Test rate limit error.""" - error = "Error: Rate limit exceeded - too many requests" - result = services.gemini_service.parse_gemini_error(error) - assert "rate limit" in result.lower() - assert "wait" in result.lower() - - def test_parse_gemini_error_api_key(self): - """Test API key error.""" - error = "Error: Invalid API key provided" - result = services.gemini_service.parse_gemini_error(error) - assert "api" in result.lower() or "authentication" in result.lower() - - def test_parse_gemini_error_network(self): - """Test network error.""" - error = "Error: Network timeout connecting to API" - result = services.gemini_service.parse_gemini_error(error) - assert "network" in result.lower() - - def test_parse_gemini_error_mcp_connection(self): - """Test MCP connection error.""" - error = "MCP error: Connection refused to meticulous machine" - result = services.gemini_service.parse_gemini_error(error) - assert "connect" in result.lower() or "meticulous" in result.lower() - - def test_parse_gemini_error_safety_filter(self): - """Test content safety filter error.""" - error = "Error: Content blocked by safety filters" - result = services.gemini_service.parse_gemini_error(error) - assert "safety" in result.lower() or "blocked" in result.lower() - - def test_parse_gemini_error_extract_clean_message(self): - """Test extracting clean error message from verbose output.""" - error = "Stack trace...\nError: Profile validation failed - invalid temperature\nmore details..." - result = services.gemini_service.parse_gemini_error(error) - assert "validation" in result.lower() - - def test_parse_gemini_error_truncate_long_message(self): - """Test truncating very long error messages.""" - error = "x" * 300 - result = services.gemini_service.parse_gemini_error(error) - assert len(result) < 300 - - def test_parse_gemini_error_generic_fallback(self): - """Test generic fallback for unknown errors.""" - error = "Something unexpected happened" - result = services.gemini_service.parse_gemini_error(error) - assert "failed" in result.lower() - - def test_parse_gemini_error_empty_string(self): - """Test empty error string.""" - result = services.gemini_service.parse_gemini_error("") - assert "unexpectedly" in result.lower() - - def test_parse_gemini_error_auth_method_missing(self): - """Test Gemini CLI auth method / API key not set error.""" - error = ( - "YOLO mode is enabled. All tool calls will be automatically approved.\n" - "Please set an Auth method in your /root/.gemini/settings.json or " - "specify one of the following environment variables before running: " - "GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI" - ) - result = services.gemini_service.parse_gemini_error(error) - assert "api key" in result.lower() or "settings" in result.lower() - # Must NOT leak raw YOLO noise into the user message - assert "yolo" not in result.lower() - - def test_parse_gemini_error_api_key_underscore(self): - """Test that GEMINI_API_KEY (with underscores) is caught as auth error.""" - error = "Error: GEMINI_API_KEY environment variable is not set" - result = services.gemini_service.parse_gemini_error(error) - assert "api key" in result.lower() or "configured" in result.lower() - - def test_parse_gemini_error_model_no_longer_available(self): - """Test deprecated / unavailable model error (404 NOT_FOUND).""" - error = ( - "404 NOT_FOUND. {'error': {'code': 404, 'message': " - "'This model models/gemini-2.0-flash is no longer available to new users.', " - "'status': 'NOT_FOUND'}}" - ) - result = services.gemini_service.parse_gemini_error(error) - assert "no longer available" in result.lower() - assert "update" in result.lower() - - def test_parse_gemini_error_model_deprecated(self): - """Test generic deprecated model message.""" - error = "Error: The model gemini-1.5-pro has been deprecated" - result = services.gemini_service.parse_gemini_error(error) - assert "no longer available" in result.lower() - - def test_parse_gemini_error_model_not_found(self): - """Test 404 NOT_FOUND with model reference.""" - error = "404 NOT_FOUND: model 'models/gemini-old' not found" - result = services.gemini_service.parse_gemini_error(error) - assert "no longer available" in result.lower() - - -class TestGetModelName: - """Tests for get_model_name() env var resolution.""" - - def test_default_model_when_env_unset(self, monkeypatch): - """Returns default model when GEMINI_MODEL is not set.""" - monkeypatch.delenv("GEMINI_MODEL", raising=False) - from services.gemini_service import get_model_name - - assert get_model_name() == "gemini-2.5-flash" - - def test_custom_model_from_env(self, monkeypatch): - """Returns custom model when GEMINI_MODEL is set.""" - monkeypatch.setenv("GEMINI_MODEL", "gemini-2.5-pro") - from services.gemini_service import get_model_name - - assert get_model_name() == "gemini-2.5-pro" - - def test_empty_env_falls_back_to_default(self, monkeypatch): - """Falls back to default when GEMINI_MODEL is empty string.""" - monkeypatch.setenv("GEMINI_MODEL", "") - from services.gemini_service import get_model_name - - assert get_model_name() == "gemini-2.5-flash" - - def test_whitespace_env_falls_back_to_default(self, monkeypatch): - """Falls back to default when GEMINI_MODEL is whitespace.""" - monkeypatch.setenv("GEMINI_MODEL", " ") - from services.gemini_service import get_model_name - - assert get_model_name() == "gemini-2.5-flash" - - -class TestSettingsHydration: - """Test that stored settings are hydrated into os.environ at startup.""" - - @pytest.mark.asyncio - async def test_lifespan_hydrates_gemini_api_key(self, monkeypatch, tmp_path): - """Lifespan hydrates GEMINI_API_KEY from settings.json when env is empty.""" - import json - from main import lifespan, app - - # Write a fake settings.json - settings_file = tmp_path / "settings.json" - settings_file.write_text(json.dumps({"geminiApiKey": "sk-test-key-123"})) - - # Patch settings service to use our tmp file - monkeypatch.setattr("services.settings_service.SETTINGS_FILE", settings_file) - # Clear cache - import services.settings_service as ss - - monkeypatch.setattr(ss, "_settings_cache", None) - - # Make sure env var is empty - monkeypatch.delenv("GEMINI_API_KEY", raising=False) - - # Run the lifespan context manager - async with lifespan(app): - result = os.environ.get("GEMINI_API_KEY") - - assert result == "sk-test-key-123" - - @pytest.mark.asyncio - async def test_lifespan_does_not_overwrite_env_var(self, monkeypatch, tmp_path): - """Lifespan should NOT overwrite an env var that's already set.""" - import json - from main import lifespan, app - - settings_file = tmp_path / "settings.json" - settings_file.write_text(json.dumps({"geminiApiKey": "stored-key"})) - - monkeypatch.setattr("services.settings_service.SETTINGS_FILE", settings_file) - import services.settings_service as ss - - monkeypatch.setattr(ss, "_settings_cache", None) - - # Set the env var to a different value - monkeypatch.setenv("GEMINI_API_KEY", "env-provided-key") - - async with lifespan(app): - result = os.environ.get("GEMINI_API_KEY") - - # Should keep the env-provided key, not overwrite with stored - assert result == "env-provided-key" - - -class TestGetVisionModel: - """Test vision model / Gemini client initialization.""" - - def test_get_vision_model_missing_api_key(self, monkeypatch): - """Test get_vision_model raises error when API key is missing.""" - # Clear the cached client - services.gemini_service._gemini_client = None - - # Remove API key - monkeypatch.delenv("GEMINI_API_KEY", raising=False) - - with pytest.raises(ValueError) as exc_info: - services.gemini_service.get_vision_model() - - assert "GEMINI_API_KEY" in str(exc_info.value) - - # Restore for other tests - monkeypatch.setenv("GEMINI_API_KEY", "test_key") - - def test_get_gemini_client_lazy_initialization(self, monkeypatch): - """Test Gemini client is lazily initialized.""" - # Clear the cached client - services.gemini_service._gemini_client = None - - monkeypatch.setenv("GEMINI_API_KEY", "test_key_123") - - # Track Client constructor calls - client_calls = [] - mock_client_instance = MagicMock() - - def mock_client_constructor(**kwargs): - client_calls.append(kwargs) - return mock_client_instance - - with patch( - "services.gemini_service.genai.Client", side_effect=mock_client_constructor - ): - # First call should initialize - client1 = services.gemini_service.get_gemini_client() - assert len(client_calls) == 1 - assert client_calls[0]["api_key"] == "test_key_123" - - # Second call should reuse cached client - client2 = services.gemini_service.get_gemini_client() - assert len(client_calls) == 1 # Not called again - assert client1 is client2 - - # Cleanup - services.gemini_service._gemini_client = None - - def test_get_vision_model_returns_wrapper(self, monkeypatch): - """Test get_vision_model returns a wrapper with generate_content.""" - services.gemini_service._gemini_client = None - monkeypatch.setenv("GEMINI_API_KEY", "test_key") - - mock_client_instance = MagicMock() - with patch( - "services.gemini_service.genai.Client", return_value=mock_client_instance - ): - model = services.gemini_service.get_vision_model() - assert hasattr(model, "generate_content") - assert hasattr(model, "async_generate_content") - - # Call generate_content and verify it delegates to client - model.generate_content("test prompt") - mock_client_instance.models.generate_content.assert_called_once() - - # Cleanup - services.gemini_service._gemini_client = None - - -class TestGetMeticulousAPI: - """Test get_meticulous_api function.""" - - def test_get_meticulous_api_lazy_init(self, monkeypatch): - """Test get_meticulous_api lazy initialization.""" - # Clear cached API - services.meticulous_service._meticulous_api = None - - monkeypatch.setenv("METICULOUS_IP", "192.168.1.100") - - # Mock the Api class - class MockApi: - def __init__(self, base_url): - self.base_url = base_url - - from unittest.mock import MagicMock - - mock_module = MagicMock() - mock_module.Api = MockApi - - import sys - - sys.modules["meticulous"] = mock_module - sys.modules["meticulous.api"] = mock_module - - api1 = services.meticulous_service.get_meticulous_api() - assert api1 is not None - assert api1.base_url == "http://192.168.1.100" - - # Second call should return cached instance - api2 = services.meticulous_service.get_meticulous_api() - assert api1 is api2 - - # Cleanup - services.meticulous_service._meticulous_api = None - - def test_get_meticulous_api_adds_http_prefix(self, monkeypatch): - """Test get_meticulous_api adds http:// prefix when missing.""" - services.meticulous_service._meticulous_api = None - - monkeypatch.setenv("METICULOUS_IP", "espresso.local") - - class MockApi: - def __init__(self, base_url): - self.base_url = base_url - - from unittest.mock import MagicMock - - mock_module = MagicMock() - mock_module.Api = MockApi - - import sys - - sys.modules["meticulous"] = mock_module - sys.modules["meticulous.api"] = mock_module - - api = services.meticulous_service.get_meticulous_api() - assert api.base_url == "http://espresso.local" - - services.meticulous_service._meticulous_api = None - - def test_get_meticulous_api_reinitializes_when_target_changes(self, monkeypatch): - """Test cached client is reinitialized when METICULOUS_IP changes.""" - services.meticulous_service._meticulous_api = None - - class MockApi: - def __init__(self, base_url): - self.base_url = base_url - - from unittest.mock import MagicMock - - mock_module = MagicMock() - mock_module.Api = MockApi - - import sys - - sys.modules["meticulous"] = mock_module - sys.modules["meticulous.api"] = mock_module - - monkeypatch.setenv("METICULOUS_IP", "192.168.1.100") - api1 = services.meticulous_service.get_meticulous_api() - assert api1.base_url == "http://192.168.1.100" - - monkeypatch.setenv("METICULOUS_IP", "192.168.1.101") - api2 = services.meticulous_service.get_meticulous_api() - assert api2.base_url == "http://192.168.1.101" - assert api1 is not api2 - - services.meticulous_service._meticulous_api = None - - -class TestSettingsEndpoints: - """Test settings management endpoints.""" - - def test_get_settings_with_api_key_set(self, client, monkeypatch): - """Test get_settings masks API key.""" - monkeypatch.setenv("GEMINI_API_KEY", "sk-test-api-key-12345") - monkeypatch.setenv("METICULOUS_IP", "192.168.1.100") - monkeypatch.setenv("PI_IP", "192.168.1.200") - - response = client.get("/api/settings") - assert response.status_code == 200 - - data = response.json() - assert data["geminiApiKeyConfigured"] is True - assert data["geminiApiKeyMasked"] is True - assert "*" in data["geminiApiKey"] - assert "sk-test" not in data["geminiApiKey"] # Should be masked - assert data["meticulousIp"] == "192.168.1.100" - assert data["serverIp"] == "192.168.1.200" - - def test_get_settings_without_api_key(self, client, monkeypatch): - """Test get_settings when API key is not set.""" - monkeypatch.delenv("GEMINI_API_KEY", raising=False) - - response = client.get("/api/settings") - assert response.status_code == 200 - - data = response.json() - assert data["geminiApiKeyConfigured"] is False - - def test_get_settings_with_stored_api_key_masks_and_marks_configured( - self, client, monkeypatch - ): - """Stored API key should be masked and marked configured when env key is absent.""" - monkeypatch.delenv("GEMINI_API_KEY", raising=False) - - import api.routes.system as system_module - - def mock_load_settings(): - return { - "geminiApiKey": "stored-key-1234567890", - "meticulousIp": "", - "serverIp": "", - "authorName": "", - "mqttEnabled": True, - "tailscaleEnabled": False, - "tailscaleAuthKey": "", - } - - monkeypatch.setattr(system_module, "load_settings", mock_load_settings) - - response = client.get("/api/settings") - assert response.status_code == 200 - - data = response.json() - assert data["geminiApiKeyConfigured"] is True - assert data["geminiApiKeyMasked"] is True - assert data["geminiApiKey"] - assert "stored-key" not in data["geminiApiKey"] - - def test_get_settings_never_leaks_raw_ai_provider_key(self, client, monkeypatch): - """The raw BYO provider key (aiApiKey) must never be returned (#491).""" - monkeypatch.delenv("GEMINI_API_KEY", raising=False) - - import api.routes.system as system_module - import services.ai_providers as ai_providers_module - - def mock_load_settings(): - return { - "aiProvider": "openai", - "aiApiKey": "sk-secret-openai-key-1234567890", - "meticulousIp": "", - "serverIp": "", - "authorName": "", - } - - monkeypatch.setattr(system_module, "load_settings", mock_load_settings) - monkeypatch.setattr( - ai_providers_module, "get_active_provider_id", lambda: "openai" - ) - monkeypatch.setattr( - ai_providers_module, - "get_provider_api_key", - lambda _provider=None: "sk-secret-openai-key-1234567890", - ) - - response = client.get("/api/settings") - assert response.status_code == 200 - - data = response.json() - assert "aiApiKey" not in data - assert "sk-secret-openai-key" not in json.dumps(data) - # Masked representation is still present and configured. - assert data["geminiApiKeyConfigured"] is True - assert data["geminiApiKeyMasked"] is True - - def test_get_settings_error_handling(self, client, monkeypatch): - """Test get_settings handles errors.""" - import api.routes.system as system_module - - # Mock load_settings to raise an exception - def mock_load_settings(): - raise ValueError("Settings file corrupted") - - monkeypatch.setattr(system_module, "load_settings", mock_load_settings) - - response = client.get("/api/settings") - assert response.status_code == 500 - assert "detail" in response.json() - assert "error" in response.json()["detail"] - - -class TestRestartEndpoint: - """Test system restart endpoint (SIGTERM to PID 1).""" - - @patch("api.routes.system.os.kill") - def test_restart_success(self, mock_kill, client, tmp_path, monkeypatch): - """Test successful restart triggers SIGTERM to PID 1.""" - response = client.post("/api/restart") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert "restart" in data["message"].lower() - - def test_restart_returns_success_response(self, client): - """Test that restart endpoint returns success even without PID 1 access.""" - response = client.post("/api/restart") - - # Should succeed — the actual kill is deferred in a background task - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - - -class TestLogsEndpoint: - """Test logs retrieval endpoint.""" - - def test_get_logs_file_not_found(self, client, tmp_path, monkeypatch): - """Test get_logs when log file doesn't exist.""" - monkeypatch.setenv("LOG_DIR", str(tmp_path)) - - response = client.get("/api/logs") - - # Should return empty logs or handle gracefully - assert response.status_code in [200, 404] - if response.status_code == 200: - data = response.json() - # May return logs if the logging system was already initialized - assert "logs" in data - - -class TestSaveSettingsEndpoint: - """Test save settings endpoint.""" - - def test_save_settings_empty_body(self, client): - """Test save_settings with empty request body.""" - response = client.post("/api/settings", json={}) - - # Should handle gracefully - assert response.status_code in [200, 400, 500] - - def test_save_gemini_model_persists_and_returns( - self, client, monkeypatch, tmp_path - ): - """POST geminiModel then GET and verify it is returned.""" - import services.settings_service as settings_svc - - settings_file = tmp_path / "settings.json" - settings_file.write_text("{}") - monkeypatch.setattr(settings_svc, "SETTINGS_FILE", settings_file) - monkeypatch.delenv("GEMINI_MODEL", raising=False) - - resp = client.post("/api/settings", json={"geminiModel": "gemini-2.5-pro"}) - assert resp.status_code == 200 - - resp = client.get("/api/settings") - assert resp.status_code == 200 - assert resp.json()["geminiModel"] == "gemini-2.5-pro" - - def test_save_gemini_model_empty_falls_back_to_default( - self, client, monkeypatch, tmp_path - ): - """POST empty geminiModel falls back to the default model.""" - import services.settings_service as settings_svc - - settings_file = tmp_path / "settings.json" - settings_file.write_text("{}") - monkeypatch.setattr(settings_svc, "SETTINGS_FILE", settings_file) - monkeypatch.delenv("GEMINI_MODEL", raising=False) - - resp = client.post("/api/settings", json={"geminiModel": " "}) - assert resp.status_code == 200 - - resp = client.get("/api/settings") - assert resp.status_code == 200 - assert resp.json()["geminiModel"] == "gemini-2.5-flash" - - def test_get_settings_includes_gemini_model(self, client, monkeypatch): - """GET /api/settings always includes geminiModel.""" - monkeypatch.delenv("GEMINI_MODEL", raising=False) - - resp = client.get("/api/settings") - assert resp.status_code == 200 - assert "geminiModel" in resp.json() - - -class TestDecompressShotData: - """Test shot data decompression.""" - - def test_decompress_shot_data_success(self): - """Test successful decompression.""" - import zstandard - import json - - # Create test data - original_data = {"test": "data", "shot_id": 123} - json_str = json.dumps(original_data) - - # Compress it - compressor = zstandard.ZstdCompressor() - compressed = compressor.compress(json_str.encode("utf-8")) - - # Decompress using the function - result = services.meticulous_service.decompress_shot_data(compressed) - - assert result == original_data - - -class TestLLMAnalysisCacheFunctions: - """Test LLM analysis cache functions.""" - - def test_llm_cache_file_creation(self, tmp_path, monkeypatch): - """Test LLM cache file management.""" - cache_file = tmp_path / "llm_cache.json" - cache_file.write_text("{}") - - monkeypatch.setattr(config, "DATA_DIR", tmp_path) - - # Verify cache file exists - assert cache_file.exists() - - # Verify it's valid JSON - data = json.loads(cache_file.read_text()) - assert isinstance(data, dict) - - -class TestAdditionalCoveragePaths: - """Additional tests to reach 75% coverage target.""" - - def testsanitize_profile_name_for_filename(self): - """Test sanitize_profile_name_for_filename with various inputs.""" - # Test with special characters - result = utils.sanitization.sanitize_profile_name_for_filename( - "Test/Profile\\Name:123" - ) - assert "/" not in result and "\\" not in result - - # Test with spaces - result = utils.sanitization.sanitize_profile_name_for_filename( - "My Cool Profile" - ) - assert isinstance(result, str) - - def test_safe_float_with_various_types(self): - """Test safe_float helper function.""" - # These might not exist, so wrap in try/except - try: - assert services.analysis_service._safe_float("3.14") == 3.14 - assert services.analysis_service._safe_float(42) == 42.0 - assert services.analysis_service._safe_float(None) == 0.0 - except AttributeError: - pass # Function doesn't exist - - @pytest.mark.asyncio - async def test_version_info_retrieval(self, client): - """Test version info endpoint comprehensively.""" - response = client.get("/api/version") - assert response.status_code == 200 - - data = response.json() - assert "meticai" in data or "version" in str(data).lower() - - def test_data_directory_configuration_paths(self, monkeypatch): - """Test data directory path resolution.""" - # Test that DATA_DIR is set - assert config.DATA_DIR is not None - assert isinstance(config.DATA_DIR, Path) - - -# ============================================================================== -# Tests for Recurring Schedules Feature (developed today) -# ============================================================================== - - -class TestRecurringSchedulesPersistence: - """Tests for RecurringSchedulesPersistence class.""" - - @pytest.fixture - def temp_persistence_file(self, tmp_path): - """Create a temporary persistence file.""" - return str(tmp_path / "recurring_schedules.json") - - @pytest.mark.asyncio - async def test_persistence_save_and_load(self, temp_persistence_file): - """Test saving and loading recurring schedules.""" - persistence = services.scheduling_state.RecurringSchedulesPersistence( - temp_persistence_file - ) - - test_schedules = { - "schedule-1": { - "name": "Morning Preheat", - "time": "07:00", - "recurrence_type": "weekdays", - "profile_id": None, - "preheat": True, - "enabled": True, - }, - "schedule-2": { - "name": "Weekend Coffee", - "time": "09:00", - "recurrence_type": "weekends", - "profile_id": "profile-123", - "preheat": True, - "enabled": True, - }, - } - - # Save schedules - await persistence.save(test_schedules) - - # Load them back - loaded = await persistence.load() - - assert len(loaded) == 2 - assert "schedule-1" in loaded - assert loaded["schedule-1"]["name"] == "Morning Preheat" - assert loaded["schedule-2"]["recurrence_type"] == "weekends" - - @pytest.mark.asyncio - async def test_persistence_saves_all_schedules_including_disabled( - self, temp_persistence_file - ): - """Test that both enabled and disabled schedules are persisted.""" - persistence = services.scheduling_state.RecurringSchedulesPersistence( - temp_persistence_file - ) - - test_schedules = { - "enabled-schedule": {"name": "Enabled", "time": "07:00", "enabled": True}, - "disabled-schedule": { - "name": "Disabled", - "time": "08:00", - "enabled": False, - }, - } - - await persistence.save(test_schedules) - loaded = await persistence.load() - - # Both schedules should be saved (disabled schedules survive restarts) - assert len(loaded) == 2 - assert "enabled-schedule" in loaded - assert "disabled-schedule" in loaded - assert loaded["disabled-schedule"]["enabled"] is False - - @pytest.mark.asyncio - async def test_persistence_load_nonexistent_file(self, tmp_path): - """Test loading when file doesn't exist.""" - persistence = services.scheduling_state.RecurringSchedulesPersistence( - str(tmp_path / "nonexistent.json") - ) - - loaded = await persistence.load() - - assert loaded == {} - - @pytest.mark.asyncio - async def test_persistence_load_invalid_json(self, temp_persistence_file): - """Test loading when file contains invalid JSON.""" - # Write invalid JSON - with open(temp_persistence_file, "w") as f: - f.write("not valid json {{{") - - persistence = services.scheduling_state.RecurringSchedulesPersistence( - temp_persistence_file - ) - loaded = await persistence.load() - - assert loaded == {} - - @pytest.mark.asyncio - async def test_persistence_load_non_dict_json(self, temp_persistence_file): - """Test loading when file contains non-dict JSON.""" - # Write a list instead of dict - with open(temp_persistence_file, "w") as f: - f.write('["item1", "item2"]') - - persistence = services.scheduling_state.RecurringSchedulesPersistence( - temp_persistence_file - ) - loaded = await persistence.load() - - assert loaded == {} - - @pytest.mark.asyncio - async def test_persistence_creates_directory(self, tmp_path): - """Test that persistence creates parent directory if needed.""" - nested_path = tmp_path / "nested" / "dir" / "schedules.json" - persistence = services.scheduling_state.RecurringSchedulesPersistence( - str(nested_path) - ) - - await persistence.save({"test": {"enabled": True}}) - - assert nested_path.exists() - - -class TestGetNextOccurrence: - """Tests for _get_next_occurrence function.""" - - def test_daily_schedule(self): - """Test daily recurrence calculation.""" - schedule = {"time": "07:00", "recurrence_type": "daily"} - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - assert result.hour == 7 - assert result.minute == 0 - - def test_weekdays_schedule_on_weekday(self): - """Test weekdays recurrence returns next weekday.""" - schedule = {"time": "08:30", "recurrence_type": "weekdays"} - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - assert result.weekday() < 5 # Monday-Friday - assert result.hour == 8 - assert result.minute == 30 - - def test_weekends_schedule(self): - """Test weekends recurrence returns Saturday or Sunday.""" - schedule = {"time": "10:00", "recurrence_type": "weekends"} - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - assert result.weekday() >= 5 # Saturday or Sunday - assert result.hour == 10 - - def test_specific_days_schedule(self): - """Test specific days recurrence.""" - schedule = { - "time": "09:00", - "recurrence_type": "specific_days", - "days_of_week": [0, 2, 4], # Monday, Wednesday, Friday - } - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - assert result.weekday() in [0, 2, 4] - - def test_interval_schedule_first_run(self): - """Test interval recurrence with no previous run.""" - schedule = {"time": "06:00", "recurrence_type": "interval", "interval_days": 3} - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - assert result.hour == 6 - - def test_interval_schedule_with_last_run(self): - """Test interval recurrence with previous run.""" - from datetime import datetime, timezone, timedelta - - last_run = datetime.now(timezone.utc) - timedelta(days=1) - - schedule = { - "time": "06:00", - "recurrence_type": "interval", - "interval_days": 3, - "last_run": last_run.isoformat(), - } - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is not None - # Should be approximately 2 more days from now - assert result > datetime.now(timezone.utc) - - def test_invalid_time_format(self): - """Test with invalid time format.""" - schedule = {"time": "invalid", "recurrence_type": "daily"} - - result = services.scheduling_state.get_next_occurrence(schedule) - - assert result is None - - def test_missing_time(self): - """Test with missing time uses default.""" - schedule = {"recurrence_type": "daily"} - - result = services.scheduling_state.get_next_occurrence(schedule) - - # Should use default 07:00 - assert result is not None - assert result.hour == 7 - - -class TestRecurringScheduleEndpoints: - """Tests for recurring schedule API endpoints.""" - - @pytest.fixture(autouse=True) - def clear_schedules(self): - """Clear recurring schedules before each test.""" - import api.routes.scheduling as scheduling_module - - scheduling_module._recurring_schedules.clear() - yield - scheduling_module._recurring_schedules.clear() - - def test_list_recurring_schedules_empty(self, client): - """Test listing when no schedules exist.""" - response = client.get("/api/machine/recurring-schedules") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["recurring_schedules"] == [] - - def test_create_recurring_schedule_daily(self, client): - """Test creating a daily recurring schedule.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Morning Warmup", - "time": "07:00", - "recurrence_type": "daily", - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert "schedule_id" in data - assert data["schedule"]["name"] == "Morning Warmup" - assert data["schedule"]["time"] == "07:00" - assert data["next_occurrence"] is not None - - def test_create_recurring_schedule_weekdays(self, client): - """Test creating a weekdays-only schedule.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Workday Coffee", - "time": "06:30", - "recurrence_type": "weekdays", - "profile_id": "test-profile", - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["schedule"]["recurrence_type"] == "weekdays" - - def test_create_recurring_schedule_specific_days(self, client): - """Test creating a specific days schedule.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "MWF Coffee", - "time": "08:00", - "recurrence_type": "specific_days", - "days_of_week": [0, 2, 4], # Mon, Wed, Fri - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["schedule"]["days_of_week"] == [0, 2, 4] - - def test_create_recurring_schedule_interval(self, client): - """Test creating an interval-based schedule.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Every 3 Days", - "time": "09:00", - "recurrence_type": "interval", - "interval_days": 3, - "preheat": True, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["schedule"]["interval_days"] == 3 - - def test_create_recurring_schedule_missing_time(self, client): - """Test creating schedule without required time field.""" - response = client.post( - "/api/machine/recurring-schedules", - json={"name": "No Time", "recurrence_type": "daily", "preheat": True}, - ) - - assert response.status_code == 400 - assert "time is required" in response.json()["detail"] - - def test_create_recurring_schedule_invalid_time(self, client): - """Test creating schedule with invalid time format.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Bad Time", - "time": "25:99", - "recurrence_type": "daily", - "preheat": True, - }, - ) - - assert response.status_code == 400 - assert "Invalid time" in response.json()["detail"] - - def test_create_recurring_schedule_invalid_recurrence_type(self, client): - """Test creating schedule with invalid recurrence type.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Bad Type", - "time": "07:00", - "recurrence_type": "invalid_type", - "preheat": True, - }, - ) - - assert response.status_code == 400 - assert "recurrence_type must be one of" in response.json()["detail"] - - def test_create_recurring_schedule_specific_days_empty(self, client): - """Test creating specific_days schedule with empty days list.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Empty Days", - "time": "07:00", - "recurrence_type": "specific_days", - "days_of_week": [], - "preheat": True, - }, - ) - - assert response.status_code == 400 - assert "days_of_week cannot be empty" in response.json()["detail"] - - def test_create_recurring_schedule_no_action(self, client): - """Test creating schedule with neither profile nor preheat.""" - response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "No Action", - "time": "07:00", - "recurrence_type": "daily", - "profile_id": None, - "preheat": False, - }, - ) - - assert response.status_code == 400 - assert ( - "Either profile_id or preheat must be provided" in response.json()["detail"] - ) - - def test_list_recurring_schedules_with_data(self, client): - """Test listing after creating schedules.""" - # Create a schedule - client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Test Schedule", - "time": "07:00", - "recurrence_type": "daily", - "preheat": True, - }, - ) - - # List schedules - response = client.get("/api/machine/recurring-schedules") - - assert response.status_code == 200 - data = response.json() - assert len(data["recurring_schedules"]) == 1 - assert data["recurring_schedules"][0]["name"] == "Test Schedule" - assert "next_occurrence" in data["recurring_schedules"][0] - - def test_update_recurring_schedule(self, client): - """Test updating an existing recurring schedule.""" - # Create a schedule - create_response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Original Name", - "time": "07:00", - "recurrence_type": "daily", - "preheat": True, - }, - ) - schedule_id = create_response.json()["schedule_id"] - - # Update it - response = client.put( - f"/api/machine/recurring-schedules/{schedule_id}", - json={"name": "Updated Name", "time": "08:00", "enabled": False}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["schedule"]["name"] == "Updated Name" - assert data["schedule"]["time"] == "08:00" - assert data["schedule"]["enabled"] is False - - def test_update_recurring_schedule_not_found(self, client): - """Test updating non-existent schedule.""" - response = client.put( - "/api/machine/recurring-schedules/nonexistent-id", json={"name": "New Name"} - ) - - assert response.status_code == 404 - - def test_update_recurring_schedule_invalid_time(self, client): - """Test updating schedule with invalid time.""" - # Create a schedule - create_response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "Test", - "time": "07:00", - "recurrence_type": "daily", - "preheat": True, - }, - ) - schedule_id = create_response.json()["schedule_id"] - - # Try to update with invalid time - response = client.put( - f"/api/machine/recurring-schedules/{schedule_id}", json={"time": "invalid"} - ) - - assert response.status_code == 400 - - def test_delete_recurring_schedule(self, client): - """Test deleting a recurring schedule.""" - # Create a schedule - create_response = client.post( - "/api/machine/recurring-schedules", - json={ - "name": "To Delete", - "time": "07:00", - "recurrence_type": "daily", - "preheat": True, - }, - ) - schedule_id = create_response.json()["schedule_id"] - - # Delete it - response = client.delete(f"/api/machine/recurring-schedules/{schedule_id}") - - assert response.status_code == 200 - assert response.json()["status"] == "success" - - # Verify it's gone - list_response = client.get("/api/machine/recurring-schedules") - assert len(list_response.json()["recurring_schedules"]) == 0 - - def test_delete_recurring_schedule_not_found(self, client): - """Test deleting non-existent schedule.""" - response = client.delete("/api/machine/recurring-schedules/nonexistent-id") - - assert response.status_code == 404 - - -class TestScheduledShotRestoration: - """Tests for scheduled shot restoration with preheating status.""" - - @pytest.fixture(autouse=True) - def clear_shots(self): - """Clear scheduled shots before each test.""" - main._scheduled_shots.clear() - main._scheduled_tasks.clear() - yield - main._scheduled_shots.clear() - main._scheduled_tasks.clear() - - def test_scheduled_shot_preheating_status(self, client): - """Test that preheating status is properly tracked.""" - # This tests the scheduled shot data structure supports preheating status - from datetime import datetime, timezone, timedelta - - future_time = datetime.now(timezone.utc) + timedelta(hours=1) - - shot_data = { - "id": "test-shot-1", - "profile_id": "test-profile", - "scheduled_time": future_time.isoformat(), - "preheat": True, - "status": "preheating", # This is the key status we're testing - "created_at": datetime.now(timezone.utc).isoformat(), - } - - main._scheduled_shots["test-shot-1"] = shot_data - - # Verify the shot is stored correctly - assert "test-shot-1" in main._scheduled_shots - assert main._scheduled_shots["test-shot-1"]["status"] == "preheating" - - def test_scheduled_shot_status_transitions(self, client): - """Test that shot status can transition through expected states.""" - from datetime import datetime, timezone, timedelta - - future_time = datetime.now(timezone.utc) + timedelta(hours=1) - - # Create a scheduled shot - shot_data = { - "id": "test-shot-2", - "profile_id": "test-profile", - "scheduled_time": future_time.isoformat(), - "preheat": True, - "status": "scheduled", - "created_at": datetime.now(timezone.utc).isoformat(), - } - - main._scheduled_shots["test-shot-2"] = shot_data - - # Transition to preheating - main._scheduled_shots["test-shot-2"]["status"] = "preheating" - assert main._scheduled_shots["test-shot-2"]["status"] == "preheating" - - # Transition to running - main._scheduled_shots["test-shot-2"]["status"] = "running" - assert main._scheduled_shots["test-shot-2"]["status"] == "running" - - # Transition to completed - main._scheduled_shots["test-shot-2"]["status"] = "completed" - assert main._scheduled_shots["test-shot-2"]["status"] == "completed" - - -class TestRecurringScheduleChecker: - """Tests for recurring schedule checker background task logic.""" - - def test_recurring_shot_id_format(self): - """Test that recurring shot IDs follow expected format.""" - from datetime import datetime, timezone - - schedule_id = "test-schedule-123" - next_time = datetime.now(timezone.utc) - - expected_id = f"recurring-{schedule_id}-{next_time.isoformat()}" - - # Verify format - assert expected_id.startswith("recurring-") - assert schedule_id in expected_id - - def test_schedule_enabled_filtering(self): - """Test that disabled schedules are properly filtered.""" - schedules = { - "enabled": {"name": "Enabled", "enabled": True}, - "disabled": {"name": "Disabled", "enabled": False}, - "default": {"name": "Default"}, # Should default to enabled - } - - enabled_schedules = { - sid: s for sid, s in schedules.items() if s.get("enabled", True) - } - - assert "enabled" in enabled_schedules - assert "default" in enabled_schedules - assert "disabled" not in enabled_schedules - - -class TestSchedulingStateDirect: - """Direct tests for services.scheduling_state module to improve coverage.""" - - @pytest.mark.asyncio - async def test_schedule_persistence_save_and_load(self, tmp_path): - """Test ScheduledShotsPersistence save and load operations.""" - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "test_schedules.json" - persistence = ScheduledShotsPersistence(persistence_file) - - # Test save - use status: scheduled to ensure it's saved - test_data = { - "schedule1": {"name": "Test", "time": "07:00", "status": "scheduled"} - } - await persistence.save(test_data) - - # Verify file was created - assert persistence.persistence_file.exists() - - # Test load - loaded_data = await persistence.load() - assert loaded_data == test_data - - @pytest.mark.asyncio - async def test_schedule_persistence_load_nonexistent(self, tmp_path): - """Test loading from nonexistent file returns empty dict.""" - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "nonexistent.json" - persistence = ScheduledShotsPersistence(persistence_file) - result = await persistence.load() - assert result == {} - - @pytest.mark.asyncio - async def test_schedule_persistence_save_error_handling(self, tmp_path): - """Test save handles errors gracefully.""" - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "test.json" - persistence = ScheduledShotsPersistence(persistence_file) - - # Mock open to raise an error - with patch("builtins.open", side_effect=PermissionError("Permission denied")): - # Should not raise, just log error - await persistence.save({"test": "data", "status": "scheduled"}) - - @pytest.mark.asyncio - async def test_schedule_persistence_load_error_handling(self, tmp_path): - """Test load handles corrupted JSON gracefully.""" - from services.scheduling_state import ScheduledShotsPersistence - - persistence_file = tmp_path / "bad.json" - persistence = ScheduledShotsPersistence(persistence_file) - - # Write invalid JSON - persistence.persistence_file.write_text("not valid json {{{") - - # Should return empty dict, not raise - result = await persistence.load() - assert result == {} - - @pytest.mark.asyncio - async def test_save_scheduled_shots(self): - """Test save_scheduled_shots function.""" - from services import scheduling_state - - with patch.object( - scheduling_state, "_scheduled_shots_persistence" - ) as mock_persistence: - mock_persistence.save = AsyncMock() - scheduling_state._scheduled_shots = {"test": {"id": "test"}} - - await scheduling_state.save_scheduled_shots() - mock_persistence.save.assert_called_once_with({"test": {"id": "test"}}) - - @pytest.mark.asyncio - async def test_load_scheduled_shots(self): - """Test load_scheduled_shots function.""" - from services import scheduling_state - - with patch.object( - scheduling_state, "_scheduled_shots_persistence" - ) as mock_persistence: - mock_persistence.load = AsyncMock(return_value={"loaded": {"id": "loaded"}}) - - result = await scheduling_state.load_scheduled_shots() - assert result == {"loaded": {"id": "loaded"}} - - @pytest.mark.asyncio - async def test_save_recurring_schedules(self): - """Test save_recurring_schedules function.""" - from services import scheduling_state - - with patch.object( - scheduling_state, "_recurring_schedules_persistence" - ) as mock_persistence: - mock_persistence.save = AsyncMock() - scheduling_state._recurring_schedules = {"recurring1": {"name": "Test"}} - - await scheduling_state.save_recurring_schedules() - mock_persistence.save.assert_called_once_with( - {"recurring1": {"name": "Test"}} - ) - - @pytest.mark.asyncio - async def test_load_recurring_schedules_function(self): - """Test load_recurring_schedules function.""" - from services import scheduling_state - - with patch.object( - scheduling_state, "_recurring_schedules_persistence" - ) as mock_persistence: - mock_persistence.load = AsyncMock( - return_value={"schedule1": {"enabled": True}} - ) - - await scheduling_state.load_recurring_schedules() - assert scheduling_state._recurring_schedules == { - "schedule1": {"enabled": True} - } - - def test_get_next_occurrence_daily(self): - """Test get_next_occurrence with daily schedule.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"time": "10:00", "recurrence_type": "daily"} - result = get_next_occurrence(schedule) - - assert result is not None - assert result.hour == 10 - assert result.minute == 0 - - def test_get_next_occurrence_weekdays(self): - """Test get_next_occurrence with weekdays schedule.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"time": "09:00", "recurrence_type": "weekdays"} - result = get_next_occurrence(schedule) - - assert result is not None - # Should be a weekday (Monday-Friday) - assert result.weekday() < 5 - - def test_get_next_occurrence_weekends(self): - """Test get_next_occurrence with weekends schedule.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"time": "11:00", "recurrence_type": "weekends"} - result = get_next_occurrence(schedule) - - assert result is not None - # Should be a weekend (Saturday or Sunday) - assert result.weekday() >= 5 - - def test_get_next_occurrence_interval_first_run(self): - """Test get_next_occurrence with interval schedule, no last_run.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"time": "08:00", "recurrence_type": "interval", "interval_days": 3} - result = get_next_occurrence(schedule) - - assert result is not None - - def test_get_next_occurrence_interval_with_last_run(self): - """Test get_next_occurrence with interval schedule and last_run.""" - from services.scheduling_state import get_next_occurrence - from datetime import datetime, timezone, timedelta - - last_run = (datetime.now(timezone.utc) - timedelta(days=5)).isoformat() - schedule = { - "time": "08:00", - "recurrence_type": "interval", - "interval_days": 3, - "last_run": last_run, - } - result = get_next_occurrence(schedule) - - assert result is not None - - def test_get_next_occurrence_interval_invalid_last_run(self): - """Test get_next_occurrence handles invalid last_run format.""" - from services.scheduling_state import get_next_occurrence - - schedule = { - "time": "08:00", - "recurrence_type": "interval", - "interval_days": 2, - "last_run": "not-a-valid-date", - } - result = get_next_occurrence(schedule) - - # Should return a result despite invalid last_run - assert result is not None - - def test_get_next_occurrence_specific_days(self): - """Test get_next_occurrence with specific_days schedule.""" - from services.scheduling_state import get_next_occurrence - - # All days of week to ensure we find one - schedule = { - "time": "07:00", - "recurrence_type": "specific_days", - "days_of_week": [0, 1, 2, 3, 4, 5, 6], - } - result = get_next_occurrence(schedule) - - assert result is not None - - def test_get_next_occurrence_specific_days_empty(self): - """Test get_next_occurrence with empty days_of_week returns None.""" - from services.scheduling_state import get_next_occurrence - - schedule = { - "time": "07:00", - "recurrence_type": "specific_days", - "days_of_week": [], - } - result = get_next_occurrence(schedule) - - # Should return None since no days match - assert result is None - - def test_get_next_occurrence_invalid_time(self): - """Test get_next_occurrence with invalid time format.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"time": "invalid", "recurrence_type": "daily"} - result = get_next_occurrence(schedule) - - # Should return None on error - assert result is None - - def test_get_next_occurrence_missing_time(self): - """Test get_next_occurrence with missing time uses default.""" - from services.scheduling_state import get_next_occurrence - - schedule = {"recurrence_type": "daily"} - result = get_next_occurrence(schedule) - - # Should use default time (07:00) - assert result is not None - assert result.hour == 7 - - -class TestMeticulousServiceDirect: - """Direct tests for services.meticulous_service module to improve coverage.""" - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_preheat_and_run(self): - """Test execute_scheduled_shot with preheat enabled.""" - from services.meticulous_service import execute_scheduled_shot - - mock_api = MagicMock() - mock_api.load_profile_by_id.return_value = MagicMock(error=None) - mock_api.execute_action = MagicMock() - - scheduled_shots = {"test-shot": {"id": "test-shot", "status": "pending"}} - scheduled_tasks = {} - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - # Use very short delay for testing - await execute_scheduled_shot( - schedule_id="test-shot", - shot_delay=0.01, - preheat=True, - profile_id="profile-123", - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - preheat_duration_minutes=0.0001, # Very short for test - ) - - assert scheduled_shots["test-shot"]["status"] in ["completed", "running"] - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_no_preheat(self): - """Test execute_scheduled_shot without preheat.""" - from services.meticulous_service import execute_scheduled_shot - - mock_api = MagicMock() - mock_api.load_profile_by_id.return_value = MagicMock(error=None) - mock_api.execute_action = MagicMock() - - scheduled_shots = {"test-shot-2": {"id": "test-shot-2", "status": "pending"}} - scheduled_tasks = {} - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - await execute_scheduled_shot( - schedule_id="test-shot-2", - shot_delay=0.01, - preheat=False, - profile_id="profile-456", - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - ) - - assert scheduled_shots["test-shot-2"]["status"] == "completed" - mock_api.load_profile_by_id.assert_called_once_with("profile-456") - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_preheat_only(self): - """Test execute_scheduled_shot with preheat only (no profile).""" - from services.meticulous_service import execute_scheduled_shot - - mock_api = MagicMock() - mock_api.execute_action = MagicMock() - - scheduled_shots = {"preheat-only": {"id": "preheat-only", "status": "pending"}} - scheduled_tasks = {} - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - await execute_scheduled_shot( - schedule_id="preheat-only", - shot_delay=0.01, - preheat=True, - profile_id=None, # No profile - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - preheat_duration_minutes=0.0001, - ) - - assert scheduled_shots["preheat-only"]["status"] == "completed" - # Should not have called load_profile_by_id - mock_api.load_profile_by_id.assert_not_called() - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_profile_load_error(self): - """Test execute_scheduled_shot when profile load fails.""" - from services.meticulous_service import execute_scheduled_shot - - mock_api = MagicMock() - mock_api.load_profile_by_id.return_value = MagicMock(error="Profile not found") - - scheduled_shots = {"fail-shot": {"id": "fail-shot", "status": "pending"}} - scheduled_tasks = {} - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - await execute_scheduled_shot( - schedule_id="fail-shot", - shot_delay=0.01, - preheat=False, - profile_id="bad-profile", - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - ) - - assert scheduled_shots["fail-shot"]["status"] == "failed" - assert "error" in scheduled_shots["fail-shot"] - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_exception(self): - """Test execute_scheduled_shot handles exceptions.""" - from services.meticulous_service import execute_scheduled_shot - - mock_api = MagicMock() - mock_api.load_profile_by_id.side_effect = Exception("Connection failed") - - scheduled_shots = {"exc-shot": {"id": "exc-shot", "status": "pending"}} - scheduled_tasks = {"exc-shot": MagicMock()} - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - await execute_scheduled_shot( - schedule_id="exc-shot", - shot_delay=0.01, - preheat=False, - profile_id="profile", - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - ) - - assert scheduled_shots["exc-shot"]["status"] == "failed" - assert "exc-shot" not in scheduled_tasks # Should be cleaned up - - @pytest.mark.asyncio - async def test_execute_scheduled_shot_cancelled(self): - """Test execute_scheduled_shot handles cancellation.""" - from services.meticulous_service import execute_scheduled_shot - import asyncio - - scheduled_shots = {"cancel-shot": {"id": "cancel-shot", "status": "pending"}} - scheduled_tasks = {} - - with patch("services.meticulous_service.get_meticulous_api") as mock_get_api: - mock_get_api.side_effect = asyncio.CancelledError() - - await execute_scheduled_shot( - schedule_id="cancel-shot", - shot_delay=0.01, - preheat=False, - profile_id="profile", - scheduled_shots_dict=scheduled_shots, - scheduled_tasks_dict=scheduled_tasks, - ) - - assert scheduled_shots["cancel-shot"]["status"] == "cancelled" - - @pytest.mark.asyncio - async def test_fetch_shot_data_compressed(self): - """Test fetch_shot_data with compressed zst file.""" - from services.meticulous_service import fetch_shot_data - import zstandard - - # Create mock compressed data - test_data = {"shot": "data", "pressure": [1, 2, 3]} - cctx = zstandard.ZstdCompressor() - compressed = cctx.compress(json.dumps(test_data).encode("utf-8")) - - mock_api = MagicMock() - mock_api.base_url = "http://test.local" - - mock_response = MagicMock() - mock_response.content = compressed - mock_response.raise_for_status = MagicMock() - - mock_client = MagicMock() - mock_client.get = AsyncMock(return_value=mock_response) - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - with patch( - "services.meticulous_service._get_http_client", return_value=mock_client - ): - result = await fetch_shot_data("2024-01-01", "shot.zst") - - assert result == test_data - - @pytest.mark.asyncio - async def test_fetch_shot_data_uncompressed(self): - """Test fetch_shot_data with uncompressed JSON file.""" - from services.meticulous_service import fetch_shot_data - - test_data = {"shot": "data", "weight": [10, 20, 30]} - - mock_api = MagicMock() - mock_api.base_url = "http://test.local" - - mock_response = MagicMock() - mock_response.json.return_value = test_data - mock_response.raise_for_status = MagicMock() - - mock_client = MagicMock() - mock_client.get = AsyncMock(return_value=mock_response) - - with patch( - "services.meticulous_service.get_meticulous_api", return_value=mock_api - ): - with patch( - "services.meticulous_service._get_http_client", return_value=mock_client - ): - result = await fetch_shot_data("2024-01-01", "shot.json") - - assert result == test_data - - def test_get_meticulous_api_initialization(self): - """Test get_meticulous_api lazy initialization.""" - from services import meticulous_service - - # Reset the cached API - meticulous_service._meticulous_api = None - - with patch.dict(os.environ, {"METICULOUS_IP": "192.168.1.100"}): - with patch("meticulous.api.Api") as mock_api_class: - mock_instance = MagicMock() - mock_instance.base_url = "http://192.168.1.100" - mock_api_class.return_value = mock_instance - - api = meticulous_service.get_meticulous_api() - - mock_api_class.assert_called_once_with(base_url="http://192.168.1.100") - - # Second call should reuse cached instance - api2 = meticulous_service.get_meticulous_api() - assert api is api2 - assert mock_api_class.call_count == 1 # Still only called once - - -class TestMainLifespanCoverage: - """Additional tests for main.py lifespan and middleware coverage.""" - - @pytest.mark.asyncio - async def test_lifespan_startup_and_shutdown(self): - """Test the lifespan context manager.""" - from main import lifespan, app - - # Mock the dependencies - with patch( - "main._restore_scheduled_shots", new_callable=AsyncMock - ) as mock_restore: - with patch( - "main._load_recurring_schedules", new_callable=AsyncMock - ) as mock_load: - with patch("main._recurring_schedules", {}): - with patch("main._scheduled_tasks", {}): - async with lifespan(app): - # Inside the lifespan context - mock_restore.assert_called_once() - mock_load.assert_called_once() - - def test_log_requests_middleware_success(self, client): - """Test request logging middleware logs successful requests.""" - with patch("main.logger") as mock_logger: - client.get("/api/status") - - # Should have logged incoming request and completion - assert mock_logger.info.call_count >= 2 - - def test_log_requests_middleware_error(self, client): - """Test request logging middleware handles errors.""" - # Request to non-existent endpoint - response = client.get("/nonexistent/endpoint") - assert response.status_code == 404 - - -class TestShotsDatesEndpoint: - """Tests for the /api/shots/dates endpoint.""" - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_get_shot_dates_success(self, mock_get_dates, client): - """Test successful retrieval of shot dates.""" - # Mock dates - date1 = MagicMock() - date1.name = "2024-01-15" - date2 = MagicMock() - date2.name = "2024-01-14" - date3 = MagicMock() - date3.name = "2024-01-16" - mock_get_dates.return_value = [date1, date2, date3] - - response = client.get("/api/shots/dates") - - assert response.status_code == 200 - data = response.json() - assert "dates" in data - # Should be sorted in reverse order - assert data["dates"] == ["2024-01-16", "2024-01-15", "2024-01-14"] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_get_shot_dates_empty(self, mock_get_dates, client): - """Test retrieval when no dates exist.""" - mock_get_dates.return_value = [] - - response = client.get("/api/shots/dates") - - assert response.status_code == 200 - data = response.json() - assert data["dates"] == [] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_get_shot_dates_none_result(self, mock_get_dates, client): - """Test retrieval when API returns None.""" - mock_get_dates.return_value = None - - response = client.get("/api/shots/dates") - - assert response.status_code == 200 - data = response.json() - assert data["dates"] == [] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_get_shot_dates_api_error(self, mock_get_dates, client): - """Test error handling when API returns error.""" - mock_result = MagicMock() - mock_result.error = "Connection failed" - mock_get_dates.return_value = mock_result - - response = client.get("/api/shots/dates") - - assert response.status_code == 502 - assert "Machine API error" in response.json()["detail"] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_get_shot_dates_exception(self, mock_get_dates, client): - """Test exception handling in shot dates endpoint.""" - mock_get_dates.side_effect = Exception("Network error") - - response = client.get("/api/shots/dates") - - assert response.status_code == 500 - assert "error" in response.json()["detail"] - - -class TestShotDataEndpoint: - """Tests for the /api/shots/data/{date}/{filename} endpoint.""" - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - def test_get_shot_data_success(self, mock_fetch, client): - """Test successful retrieval of shot data.""" - mock_fetch.return_value = { - "profile_name": "Test Profile", - "data": [{"time": 1000, "weight": 18.5}], - } - - response = client.get("/api/shots/data/2024-01-15/shot_001.json") - - assert response.status_code == 200 - data = response.json() - assert data["date"] == "2024-01-15" - assert data["filename"] == "shot_001.json" - assert data["data"]["profile_name"] == "Test Profile" - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - def test_get_shot_data_exception(self, mock_fetch, client): - """Test error handling when fetch fails.""" - mock_fetch.side_effect = Exception("File not found") - - response = client.get("/api/shots/data/2024-01-15/nonexistent.json") - - assert response.status_code == 500 - assert "error" in response.json()["detail"] - - def test_get_shot_data_invalid_date(self, client): - """Test path traversal prevention on date param.""" - response = client.get("/api/shots/data/not-a-date/shot.json") - assert response.status_code == 400 - - def test_get_shot_data_invalid_filename(self, client): - """Test path traversal prevention on filename param.""" - response = client.get("/api/shots/data/2024-01-15/..%2F..%2Fetc%2Fpasswd") - assert response.status_code == 400 - - -class TestShotFilesInputValidation: - """Tests for input validation on shot file endpoints.""" - - def test_get_shot_files_invalid_date_format(self, client): - """Test that invalid date format is rejected.""" - response = client.get("/api/shots/files/not-a-date") - assert response.status_code == 400 - - def test_get_shot_files_date_traversal(self, client): - """Test that path traversal in date is rejected.""" - response = client.get("/api/shots/files/20240115") - assert response.status_code == 400 - - -class TestPrepareProfileForLLM: - """Tests for the _prepare_profile_for_llm helper function.""" - - def test_prepare_profile_basic(self): - """Test basic profile preparation.""" - from api.routes.shots import _prepare_profile_for_llm - - profile_data = { - "name": "Test Profile", - "temperature": 93.5, - "final_weight": 36.0, - "variables": ["pressure", "flow"], - "stages": [], - } - - result = _prepare_profile_for_llm(profile_data, "A test profile") - - assert result["name"] == "Test Profile" - assert result["temperature"] == 93.5 - assert result["final_weight"] == 36.0 - assert result["variables"] == ["pressure", "flow"] - assert result["stages"] == [] - - def test_prepare_profile_with_single_dynamics_point(self): - """Test profile with single dynamics point in stage.""" - from api.routes.shots import _prepare_profile_for_llm - - profile_data = { - "name": "Constant Pressure", - "stages": [ - { - "name": "Main", - "type": "pressure", - "exit_triggers": [{"type": "weight", "value": 36}], - "limits": [], - "dynamics_points": [[0, 9.0]], - } - ], - } - - result = _prepare_profile_for_llm(profile_data, None) - - assert len(result["stages"]) == 1 - assert result["stages"][0]["name"] == "Main" - assert "Constant at 9.0" in result["stages"][0]["target"] - - def test_prepare_profile_with_multiple_dynamics_points(self): - """Test profile with ramp dynamics.""" - from api.routes.shots import _prepare_profile_for_llm - - profile_data = { - "name": "Pressure Ramp", - "stages": [ - { - "name": "Ramp", - "type": "pressure", - "dynamics_points": [[0, 3.0], [5, 6.0], [10, 9.0]], - } - ], - } - - result = _prepare_profile_for_llm(profile_data, None) - - assert "3.0" in result["stages"][0]["target"] - assert "9.0" in result["stages"][0]["target"] - - def test_prepare_profile_with_empty_dynamics(self): - """Test profile with no dynamics points.""" - from api.routes.shots import _prepare_profile_for_llm - - profile_data = { - "name": "No Dynamics", - "stages": [{"name": "Wait", "type": "time", "dynamics_points": []}], - } - - result = _prepare_profile_for_llm(profile_data, None) - - assert "target" not in result["stages"][0] - - -class TestProfileImageUpload: - """Tests for profile image upload endpoint.""" - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.process_image_for_profile") - @patch("api.routes.profiles._set_cached_image") - def test_upload_profile_image_not_found( - self, mock_set_cache, mock_process, mock_list_profiles, client - ): - """Test uploading image for non-existent profile.""" - mock_list_profiles.return_value = [] - - mock_process.return_value = ("data:image/png;base64,abc123", b"png_bytes") - - # Create a simple test image - from io import BytesIO - from PIL import Image - - img = Image.new("RGB", (100, 100), color="red") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_bytes.seek(0) - - response = client.post( - "/api/profile/NonExistentProfile/image", - files={"file": ("test.png", img_bytes, "image/png")}, - ) - - assert response.status_code == 404 - assert "not found" in response.json()["detail"].lower() - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.profiles.process_image_for_profile") - @patch("api.routes.profiles._set_cached_image") - def test_upload_profile_image_api_error( - self, mock_set_cache, mock_process, mock_list_profiles, client - ): - """Test uploading image when API returns error.""" - mock_result = MagicMock() - mock_result.error = "Machine error" - mock_list_profiles.return_value = mock_result - - mock_process.return_value = ("data:image/png;base64,abc123", b"png_bytes") - - from io import BytesIO - from PIL import Image - - img = Image.new("RGB", (100, 100), color="red") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_bytes.seek(0) - - response = client.post( - "/api/profile/TestProfile/image", - files={"file": ("test.png", img_bytes, "image/png")}, - ) - - assert response.status_code == 502 - assert "Machine API error" in response.json()["detail"] - - -class TestCacheServiceFunctions: - """Tests for cache service functions.""" - - def test_get_cached_llm_analysis_nonexistent(self): - """Test that nonexistent cache entries return None.""" - from services.cache_service import get_cached_llm_analysis - - result = get_cached_llm_analysis("nonexistent", "2024-01-01", "shot.json") - assert result is None - - def test_shot_cache_functions(self): - """Test shot cache get/set functions.""" - from services.cache_service import _get_cached_shots, _set_cached_shots - - # Get from empty cache - needs both profile_name and limit - result, is_stale, cached_at = _get_cached_shots("NonExistent", 10) - assert result is None - - # Set cache - test_data = {"shots": [], "count": 0} - _set_cached_shots("TestCacheProfile", test_data, 10) - - # Get from cache - result, is_stale, cached_at = _get_cached_shots("TestCacheProfile", 10) - assert result == test_data - assert cached_at is not None - - def test_image_cache_functions(self): - """Test image cache get/set functions.""" - from services.cache_service import _get_cached_image, _set_cached_image - - # Get from empty cache - result = _get_cached_image("NonExistentImage") - assert result is None - - # Set cache - test_data = b"fake_image_bytes" - _set_cached_image("TestImageProfile", test_data) - - # Get from cache - result = _get_cached_image("TestImageProfile") - assert result == test_data - - -class TestSchedulingAdditionalPaths: - """Additional tests for scheduling endpoint coverage.""" - - def test_cancel_scheduled_shot_not_found(self, client): - """Test canceling non-existent scheduled shot.""" - response = client.delete("/api/machine/schedule-shot/nonexistent-id") - - assert response.status_code == 404 - - def test_get_scheduled_shots(self, client): - """Test getting scheduled shots endpoint.""" - response = client.get("/api/machine/scheduled-shots") - - assert response.status_code == 200 - data = response.json() - assert "scheduled_shots" in data - - def test_get_recurring_schedules(self, client): - """Test getting recurring schedules endpoint.""" - response = client.get("/api/machine/recurring-schedules") - - assert response.status_code == 200 - data = response.json() - assert "recurring_schedules" in data - - -class TestHistoryEndpointPaths: - """Tests for history endpoint paths.""" - - def test_get_history_list(self, client): - """Test getting history list.""" - response = client.get("/api/history") - - # Should return 200 even if empty - assert response.status_code == 200 - - def test_delete_history_nonexistent(self, client): - """Test deleting non-existent history entry.""" - response = client.delete("/api/history/nonexistent-id-12345") - - # Should return 404 or appropriate error - assert response.status_code in [404, 500] - - -class TestShotFilesEndpoint: - """Tests for the /api/shots/files/{date} endpoint.""" - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - def test_get_shot_files_success(self, mock_get_files, client): - """Test successful retrieval of shot files.""" - file1 = MagicMock() - file1.name = "shot_001.json" - file2 = MagicMock() - file2.name = "shot_002.json" - mock_get_files.return_value = [file1, file2] - - response = client.get("/api/shots/files/2024-01-15") - - assert response.status_code == 200 - data = response.json() - assert "files" in data - assert len(data["files"]) == 2 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - def test_get_shot_files_empty(self, mock_get_files, client): - """Test retrieval when no files exist.""" - mock_get_files.return_value = [] - - response = client.get("/api/shots/files/2024-01-15") - - assert response.status_code == 200 - data = response.json() - assert data["files"] == [] - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - def test_get_shot_files_api_error(self, mock_get_files, client): - """Test error handling when API returns error.""" - mock_result = MagicMock() - mock_result.error = "Connection failed" - mock_get_files.return_value = mock_result - - response = client.get("/api/shots/files/2024-01-15") - - assert response.status_code == 502 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - def test_get_shot_files_exception(self, mock_get_files, client): - """Test exception handling.""" - mock_get_files.side_effect = Exception("Network error") - - response = client.get("/api/shots/files/2024-01-15") - - assert response.status_code == 500 - - -class TestSystemEndpointsCoverage: - """Additional tests for system endpoints coverage.""" - - def test_version_endpoint(self, client): - """Test version endpoint returns version info.""" - response = client.get("/api/version") - - assert response.status_code == 200 - data = response.json() - # Check that it returns version info structure - assert "meticai" in data or "version" in str(data).lower() - - -class TestProfileEndpointsCoverage: - """Additional tests for profile endpoints coverage.""" - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_get_profile_not_found_returns_status(self, mock_list_profiles, client): - """Test get profile returns graceful response when profile doesn't exist.""" - mock_list_profiles.return_value = [] - - response = client.get("/api/profile/NonExistent") - - # Returns 200 with status: not_found instead of 404 - assert response.status_code == 200 - data = response.json() - assert data["status"] == "not_found" - - -class TestMachineControlEndpoints: - """Tests for machine control endpoints.""" - - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_preheat_endpoint(self, mock_get_api, mock_execute_action, client): - """Test preheat endpoint.""" - mock_get_api.return_value = MagicMock() # Not None = connected - - mock_result = MagicMock() - mock_result.error = None - mock_execute_action.return_value = mock_result - - response = client.post("/api/machine/preheat") - - # Should succeed or return appropriate error - assert response.status_code in [200, 400, 500, 502] - - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_load_profile_by_id", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_run_profile_endpoint( - self, mock_get_api, mock_load_profile, mock_execute_action, client - ): - """Test running a profile endpoint.""" - mock_get_api.return_value = MagicMock() # Not None = connected - mock_result = MagicMock() - mock_result.error = "Profile not found" - mock_load_profile.return_value = mock_result - - response = client.post("/api/machine/run-profile/nonexistent-id") - - assert response.status_code in [404, 500, 502] - - -class TestProcessImageForProfileFunction: - """Tests for the process_image_for_profile function.""" - - def test_process_rgba_image(self): - """Test processing RGBA image.""" - from api.routes.profiles import process_image_for_profile - from io import BytesIO - from PIL import Image - - # Create RGBA image - img = Image.new("RGBA", (200, 200), color=(255, 0, 0, 128)) - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_data = img_bytes.getvalue() - - data_uri, png_bytes = process_image_for_profile(img_data, "image/png") - - assert data_uri.startswith("data:image/png;base64,") - assert len(png_bytes) > 0 - - def test_process_grayscale_image(self): - """Test processing grayscale image.""" - from api.routes.profiles import process_image_for_profile - from io import BytesIO - from PIL import Image - - # Create grayscale image - img = Image.new("L", (200, 200), color=128) - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_data = img_bytes.getvalue() - - data_uri, png_bytes = process_image_for_profile(img_data, "image/png") - - assert data_uri.startswith("data:image/png;base64,") - - def test_process_wide_image_crops_to_square(self): - """Test that wide images are cropped to square.""" - from api.routes.profiles import process_image_for_profile - from io import BytesIO - from PIL import Image - - # Create wide image - img = Image.new("RGB", (400, 200), color="blue") - img_bytes = BytesIO() - img.save(img_bytes, format="PNG") - img_data = img_bytes.getvalue() - - data_uri, png_bytes = process_image_for_profile(img_data, "image/png") - - # Verify it was processed - assert data_uri.startswith("data:image/png;base64,") - - -class TestUtilsFunctions: - """Tests for utility functions.""" - - def test_atomic_write_json_success(self): - """Test atomic write JSON success.""" - from utils.file_utils import atomic_write_json - from pathlib import Path - import tempfile - - with tempfile.TemporaryDirectory() as tmp_dir: - file_path = Path(tmp_dir) / "test.json" - data = {"key": "value", "number": 42} - - atomic_write_json(file_path, data) - - # Verify file was written - assert file_path.exists() - import json - - loaded = json.loads(file_path.read_text()) - assert loaded == data - - def test_sanitize_profile_name(self): - """Test profile name sanitization.""" - from utils.sanitization import sanitize_profile_name_for_filename - - # Test with special characters - result = sanitize_profile_name_for_filename("Test/Profile:Name") - - # Should not contain filesystem-unsafe characters - assert "/" not in result - assert ":" not in result - - -class TestGeminiServiceCoverage: - """Tests for gemini service coverage.""" - - def test_get_vision_model_exists(self): - """Test get_vision_model function exists.""" - from services.gemini_service import get_vision_model - - # Just verify the function can be called - actual behavior depends on API key - try: - result = get_vision_model() - # Either returns a model or None - assert result is None or result is not None - except Exception: - # May fail without API key, which is expected - pass - - def test_reset_vision_model(self): - """Test reset_vision_model clears the cached client.""" - import services.gemini_service as gs - - # Set the cached client to a sentinel value - gs._gemini_client = "cached_client" - - # Reset it - gs.reset_vision_model() - - # Should be None now - assert gs._gemini_client is None - - -class TestHistoryServiceCoverage: - """Tests for history service coverage.""" - - def test_load_history(self): - """Test loading history entries.""" - from services.history_service import load_history - - history = load_history() - assert isinstance(history, list) - - def test_save_history(self): - """Test saving history.""" - from services.history_service import load_history, save_history - - # Load current history - current = load_history() - - # Save it back (no-op test) - save_history(current) - - # Verify it can be loaded again - reloaded = load_history() - assert isinstance(reloaded, list) - - -class TestSettingsServiceCoverage: - """Tests for settings service coverage.""" - - def test_load_settings(self): - """Test loading settings.""" - from services.settings_service import load_settings - - settings = load_settings() - - # Should return a dict - assert isinstance(settings, dict) - - def test_save_settings(self): - """Test saving settings.""" - from services.settings_service import load_settings, save_settings - - # Load current settings - current = load_settings() - - # Save them back - save_settings(current) - - # Verify they can be loaded again - reloaded = load_settings() - assert isinstance(reloaded, dict) - - def test_get_author_name(self): - """Test getting author name.""" - from services.settings_service import get_author_name - - name = get_author_name() - assert isinstance(name, str) - - -class TestPromptBuilderCoverage: - """Tests for prompt builder coverage.""" - - def test_build_image_prompt(self): - """Test building image prompt.""" - from prompt_builder import build_image_prompt - - prompt = build_image_prompt("Test Profile", "modern", ["coffee", "espresso"]) - assert isinstance(prompt, str) - assert len(prompt) > 0 - - def test_build_image_prompt_with_metadata(self): - """Test building image prompt with metadata.""" - from prompt_builder import build_image_prompt_with_metadata - - result = build_image_prompt_with_metadata("Test Profile", "vintage", ["latte"]) - assert isinstance(result, dict) - assert "prompt" in result - - -class TestMoreProfileEndpoints: - """Additional profile endpoint tests.""" - - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_get_profile_api_error(self, mock_list_profiles, client): - """Test get profile when API returns error.""" - mock_result = MagicMock() - mock_result.error = "Machine error" - mock_list_profiles.return_value = mock_result - - response = client.get("/api/profile/TestProfile") - - assert response.status_code == 502 - - -class TestMoreSchedulingEndpoints: - """Additional scheduling endpoint tests.""" - - def test_schedule_shot_missing_fields(self, client): - """Test schedule shot with missing required fields.""" - response = client.post( - "/api/machine/schedule-shot", - json={}, # Missing required fields - ) - - # Should return validation error - assert response.status_code in [400, 422] - - def test_get_recurring_schedules_returns_list(self, client): - """Test that recurring schedules returns a list.""" - response = client.get("/api/machine/recurring-schedules") - - assert response.status_code == 200 - data = response.json() - assert "recurring_schedules" in data - assert isinstance(data["recurring_schedules"], (list, dict)) - - -class TestMoreCacheFunctions: - """Additional cache function tests.""" - - def test_ensure_llm_cache_file(self): - """Test LLM cache file creation.""" - from services.cache_service import _ensure_llm_cache_file, LLM_CACHE_FILE - - _ensure_llm_cache_file() - - # File should exist after ensuring - assert LLM_CACHE_FILE.exists() or True # May not exist in test env - - def test_get_llm_cache_key(self): - """Test cache key generation.""" - from services.cache_service import _get_llm_cache_key - - key = _get_llm_cache_key("Profile", "2024-01-15", "shot.json") - - assert "Profile" in key - assert "2024-01-15" in key - - -class TestConfigModule: - """Tests for config module.""" - - def test_data_dir_exists(self): - """Test DATA_DIR is defined.""" - from config import DATA_DIR - - assert DATA_DIR is not None - - def test_cache_ttl_values(self): - """Test cache TTL values are positive.""" - from config import LLM_CACHE_TTL_SECONDS, SHOT_CACHE_STALE_SECONDS - - assert LLM_CACHE_TTL_SECONDS > 0 - assert SHOT_CACHE_STALE_SECONDS > 0 - - -class TestMeticulousServiceCoverage: - """Additional meticulous service tests.""" - - def test_get_meticulous_api_import(self): - """Test meticulous API import.""" - from services.meticulous_service import get_meticulous_api - - # Function should exist - assert callable(get_meticulous_api) - - -class TestNormalizeProfileForMachine: - """Tests for _normalize_profile_for_machine (profile upload enrichment).""" - - def _normalize(self, data): - from services.meticulous_service import _normalize_profile_for_machine - - return _normalize_profile_for_machine(data) - - def test_adds_uuid_id(self): - result = self._normalize({"name": "X", "stages": []}) - assert "id" in result and len(result["id"]) == 36 # UUID format - - def test_preserves_valid_uuid_id(self): - """Valid UUID IDs should be preserved.""" - valid_uuid = "49cb0934-8b7c-4bb8-886d-624e5c5bf54f" - result = self._normalize({"name": "X", "id": valid_uuid, "stages": []}) - assert result["id"] == valid_uuid - - def test_replaces_non_uuid_id(self): - """Non-UUID IDs (e.g., slugs) should be replaced with a proper UUID.""" - result = self._normalize({"name": "X", "id": "my-slug-id", "stages": []}) - # Should be replaced with a valid UUID - assert result["id"] != "my-slug-id" - assert len(result["id"]) == 36 # UUID format - - def test_adds_author_and_author_id(self): - result = self._normalize({"name": "X", "stages": []}) - assert result["author"] == "Metic" - assert len(result["author_id"]) == 36 - - def test_preserves_existing_author(self): - result = self._normalize({"name": "X", "author": "User", "stages": []}) - assert result["author"] == "User" - - def test_defaults_temperature_and_weight(self): - result = self._normalize({"name": "X", "stages": []}) - assert result["temperature"] == 90.0 - assert result["final_weight"] == 40.0 - - def test_preserves_explicit_temperature(self): - result = self._normalize({"name": "X", "temperature": 93.5, "stages": []}) - assert result["temperature"] == 93.5 - - def test_variables_defaults_to_empty_list(self): - result = self._normalize({"name": "X", "stages": []}) - assert result["variables"] == [] - - def test_variables_none_becomes_empty_list(self): - result = self._normalize({"name": "X", "variables": None, "stages": []}) - assert result["variables"] == [] - - def test_variables_preserved_if_present(self): - v = [{"name": "P", "key": "p_1", "type": "pressure", "value": 8}] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"] == v - - def test_previous_authors_defaults_to_empty(self): - result = self._normalize({"name": "X", "stages": []}) - assert result["previous_authors"] == [] - - def test_stage_key_auto_generated(self): - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [[0, 2]], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["key"] == "flow_0" - - def test_stage_key_preserved(self): - stage = { - "name": "S1", - "key": "my_key", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["key"] == "my_key" - - def test_stage_limits_defaults_to_empty_list(self): - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["limits"] == [] - - def test_stage_limits_none_becomes_empty(self): - stage = { - "name": "S1", - "type": "flow", - "limits": None, - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["limits"] == [] - - def test_dynamics_interpolation_defaults_to_linear(self): - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["interpolation"] == "linear" - - def test_dynamics_interpolation_preserved(self): - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time", "interpolation": "curve"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["interpolation"] == "curve" - - def test_dynamics_dict_points_coerced_to_lists(self): - """Points like {"value": 2} are coerced to [0, 2].""" - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [{"value": 2}], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["points"] == [[0.0, 2]] - - def test_dynamics_list_points_preserved(self): - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [[0, 1.5], [5, 3]], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["points"] == [[0, 1.5], [5, 3]] - - def test_exit_trigger_relative_defaults_true_for_time(self): - trigger = {"type": "time", "value": 10} - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [trigger], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"][0]["relative"] is True - - def test_exit_trigger_relative_defaults_false_for_pressure(self): - trigger = {"type": "pressure", "value": 3} - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [trigger], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"][0]["relative"] is False - - def test_exit_trigger_relative_preserved_if_set(self): - trigger = {"type": "time", "value": 10, "relative": False} - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [trigger], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"][0]["relative"] is False - - def test_exit_trigger_comparison_defaults_to_gte(self): - trigger = {"type": "weight", "value": 30} - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [trigger], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"][0]["comparison"] == ">=" - - def test_exit_trigger_comparison_preserved(self): - trigger = {"type": "weight", "value": 30, "comparison": "<="} - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [trigger], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"][0]["comparison"] == "<=" - - def test_multi_stage_keys_auto_numbered(self): - s1 = { - "name": "A", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - s2 = { - "name": "B", - "type": "pressure", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [s1, s2]}) - assert result["stages"][0]["key"] == "flow_0" - assert result["stages"][1]["key"] == "pressure_1" - - def test_does_not_mutate_original(self): - """The original dict should not be modified.""" - original = {"name": "X", "stages": []} - self._normalize(original) - assert "id" not in original # shallow copy - - def test_dynamics_over_defaults_to_time(self): - """Missing dynamics.over defaults to 'time'.""" - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [[0, 1]]}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["over"] == "time" - - def test_dynamics_points_defaults_to_empty(self): - """Missing dynamics.points defaults to [].""" - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["dynamics"]["points"] == [] - - def test_dynamics_missing_entirely_gets_defaults(self): - """Missing dynamics entirely gets all defaults.""" - stage = {"name": "S1", "type": "flow", "exit_triggers": []} - result = self._normalize({"name": "X", "stages": [stage]}) - dyn = result["stages"][0]["dynamics"] - assert dyn["interpolation"] == "linear" - assert dyn["over"] == "time" - assert dyn["points"] == [] - - def test_exit_triggers_missing_defaults_to_empty(self): - """Missing exit_triggers defaults to [].""" - stage = { - "name": "S1", - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["exit_triggers"] == [] - - def test_stage_type_defaults_to_flow(self): - """Missing stage type defaults to 'flow'.""" - stage = { - "name": "S1", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["type"] == "flow" - - def test_stage_name_defaults_to_numbered(self): - """Missing stage name gets auto-generated 'Stage N'.""" - stage = { - "type": "flow", - "dynamics": {"points": [], "over": "time"}, - "exit_triggers": [], - } - result = self._normalize({"name": "X", "stages": [stage]}) - assert result["stages"][0]["name"] == "Stage 1" - - def test_display_preserved_with_description(self): - """Existing display.description is preserved.""" - data = { - "name": "X", - "stages": [], - "display": {"description": "A great profile", "accentColor": "#FF0000"}, - } - result = self._normalize(data) - assert result["display"]["description"] == "A great profile" - assert result["display"]["accentColor"] == "#FF0000" - - def test_display_created_if_missing(self): - """display dict is created when absent.""" - result = self._normalize({"name": "X", "stages": []}) - assert isinstance(result["display"], dict) - - def test_display_none_normalised_to_dict(self): - """display=None is normalised to {}.""" - result = self._normalize({"name": "X", "stages": [], "display": None}) - assert isinstance(result["display"], dict) - - def test_display_non_dict_normalised(self): - """Non-dict display value is replaced with {}.""" - result = self._normalize({"name": "X", "stages": [], "display": "bad"}) - assert isinstance(result["display"], dict) - - def test_info_variable_emoji_added_when_missing(self): - """Info variables (key starts with info_) get emoji prefix if missing.""" - v = [{"name": "Dose", "key": "info_dose", "type": "numeric", "value": 18}] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "ℹ️ Dose" - - def test_info_variable_emoji_preserved(self): - """Info variables with existing emoji are not modified.""" - v = [{"name": "☕ Dose", "key": "info_dose", "type": "numeric", "value": 18}] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "☕ Dose" - - def test_adjustable_variable_no_emoji_added(self): - """Adjustable variables (no info_ prefix) don't get emoji.""" - v = [ - {"name": "Pressure", "key": "pressure_main", "type": "pressure", "value": 9} - ] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "Pressure" - - def test_info_variable_empty_name_gets_default(self): - """Info variable with empty name gets default emoji and text.""" - v = [{"name": "", "key": "info_test", "type": "numeric", "value": 0}] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "ℹ️ Info" - - def test_adjustable_false_variable_gets_emoji(self): - """Variables with adjustable: false (without info_ prefix) also get emoji.""" - v = [ - { - "name": "Dose", - "key": "dose", - "type": "numeric", - "value": 18, - "adjustable": False, - } - ] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "ℹ️ Dose" - - def test_adjustable_true_variable_no_emoji(self): - """Variables with adjustable: true should NOT get emoji added.""" - v = [ - { - "name": "Dose", - "key": "dose", - "type": "numeric", - "value": 18, - "adjustable": True, - } - ] - result = self._normalize({"name": "X", "variables": v, "stages": []}) - assert result["variables"][0]["name"] == "Dose" - - -# --------------------------------------------------------------------------- -# Bridge / MQTT Control Center -# --------------------------------------------------------------------------- - - -class TestBridgeStatusEndpoint: - """Tests for GET /api/bridge/status.""" - - def test_bridge_status_returns_structure(self, client): - """Test that bridge status returns the expected JSON structure.""" - response = client.get("/api/bridge/status") - assert response.status_code == 200 - data = response.json() - - # Top-level keys - assert "mqtt_enabled" in data - assert "mosquitto" in data - assert "bridge" in data - - # Mosquitto sub-keys - assert "service" in data["mosquitto"] - assert "port_open" in data["mosquitto"] - assert "host" in data["mosquitto"] - assert "port" in data["mosquitto"] - - # Bridge sub-keys - assert "service" in data["bridge"] - - def test_bridge_status_test_mode_values(self, client): - """In TEST_MODE the services report safe defaults.""" - response = client.get("/api/bridge/status") - data = response.json() - - # TEST_MODE → s6 checks return 'unknown', port check returns False - assert data["mosquitto"]["service"] == "unknown" - assert data["mosquitto"]["port_open"] is False - assert data["bridge"]["service"] == "unknown" - - def test_bridge_status_default_host_port(self, client): - """Default host/port should be 127.0.0.1:1883.""" - response = client.get("/api/bridge/status") - data = response.json() - assert data["mosquitto"]["host"] == "127.0.0.1" - assert data["mosquitto"]["port"] == 1883 - - @patch.dict(os.environ, {"MQTT_ENABLED": "false"}) - def test_bridge_status_mqtt_disabled(self, client): - """When MQTT_ENABLED=false the flag is reflected.""" - response = client.get("/api/bridge/status") - data = response.json() - assert data["mqtt_enabled"] is False - - @patch.dict(os.environ, {"MQTT_HOST": "10.0.0.5", "MQTT_PORT": "1884"}) - def test_bridge_status_custom_host_port(self, client): - """Custom MQTT host/port from env vars are returned.""" - response = client.get("/api/bridge/status") - data = response.json() - assert data["mosquitto"]["host"] == "10.0.0.5" - assert data["mosquitto"]["port"] == 1884 - - -class TestBridgeRestartEndpoint: - """Tests for POST /api/bridge/restart.""" - - def test_bridge_restart_success(self, client): - """Restart endpoint returns success in TEST_MODE.""" - response = client.post("/api/bridge/restart") - assert response.status_code == 200 - data = response.json() - assert data["status"] == "restarting" - - @patch("api.routes.bridge.restart_bridge_service", return_value=False) - def test_bridge_restart_failure(self, mock_restart, client): - """When the restart command fails a 500 is returned.""" - response = client.post("/api/bridge/restart") - assert response.status_code == 500 - data = response.json() - assert "detail" in data - - -class TestBridgeServiceFunctions: - """Unit tests for bridge_service helper functions.""" - - def test_is_process_running_test_mode(self): - """_is_process_running returns False in TEST_MODE.""" - from services.bridge_service import _is_process_running - - assert _is_process_running("mosquitto") is False - - def test_check_s6_service_test_mode(self): - """_check_s6_service returns 'unknown' in TEST_MODE.""" - from services.bridge_service import _check_s6_service - - assert _check_s6_service("mosquitto") == "unknown" - assert _check_s6_service("meticulous-bridge") == "unknown" - - def test_check_mqtt_port_test_mode(self): - """_check_mqtt_port returns False in TEST_MODE.""" - from services.bridge_service import _check_mqtt_port - - assert _check_mqtt_port() is False - - def test_get_bridge_status_returns_dict(self): - """get_bridge_status returns a dict with expected keys.""" - from services.bridge_service import get_bridge_status - - status = get_bridge_status() - assert isinstance(status, dict) - assert "mqtt_enabled" in status - assert "mosquitto" in status - assert "bridge" in status - - def test_restart_bridge_service_test_mode(self): - """restart_bridge_service returns True in TEST_MODE.""" - from services.bridge_service import restart_bridge_service - - assert restart_bridge_service() is True - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_is_process_running_found(self, mock_run): - """_is_process_running returns True when pgrep finds the process.""" - mock_run.return_value = MagicMock(returncode=0) - from services.bridge_service import _is_process_running - - assert _is_process_running("mosquitto") is True - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_is_process_running_not_found(self, mock_run): - """_is_process_running returns False when pgrep finds nothing.""" - mock_run.return_value = MagicMock(returncode=1) - from services.bridge_service import _is_process_running - - assert _is_process_running("mosquitto") is False - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run", side_effect=FileNotFoundError) - def test_is_process_running_no_pgrep(self, mock_run): - """_is_process_running returns False when pgrep binary is missing.""" - from services.bridge_service import _is_process_running - - assert _is_process_running("mosquitto") is False - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_check_s6_service_running(self, mock_run): - """_check_s6_service returns 'running' when s6-svstat says up.""" - mock_run.return_value = MagicMock( - returncode=0, stdout="up (pid 123) 45 seconds" - ) - from services.bridge_service import _check_s6_service - - assert _check_s6_service("mosquitto") == "running" - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_check_s6_service_down(self, mock_run): - """_check_s6_service returns 'down' when s6-svstat says down.""" - mock_run.return_value = MagicMock( - returncode=0, stdout="down (signal SIGTERM) 2 seconds" - ) - from services.bridge_service import _check_s6_service - - assert _check_s6_service("mosquitto") == "down" - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_check_s6_service_unknown_output(self, mock_run): - """_check_s6_service returns 'unknown' for unexpected output.""" - mock_run.return_value = MagicMock(returncode=1, stdout="") - from services.bridge_service import _check_s6_service - - assert _check_s6_service("mosquitto") == "unknown" - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run", side_effect=subprocess.TimeoutExpired("s6-svstat", 5)) - def test_check_s6_service_timeout(self, mock_run): - """_check_s6_service returns 'unknown' on timeout.""" - from services.bridge_service import _check_s6_service - - assert _check_s6_service("mosquitto") == "unknown" - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_restart_bridge_service_success(self, mock_run): - """restart_bridge_service returns True on success.""" - mock_run.return_value = MagicMock(returncode=0) - from services.bridge_service import restart_bridge_service - - assert restart_bridge_service() is True - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run") - def test_restart_bridge_service_failure(self, mock_run): - """restart_bridge_service returns False on command failure.""" - mock_run.return_value = MagicMock(returncode=1) - from services.bridge_service import restart_bridge_service - - assert restart_bridge_service() is False - - @patch("services.bridge_service.TEST_MODE", False) - @patch("subprocess.run", side_effect=subprocess.TimeoutExpired("s6-svc", 10)) - def test_restart_bridge_service_timeout(self, mock_run): - """restart_bridge_service returns False on timeout.""" - from services.bridge_service import restart_bridge_service - - assert restart_bridge_service() is False - - -# --------------------------------------------------------------------------- -# Phase 2 — MQTT Service, WebSocket, Settings integration -# --------------------------------------------------------------------------- - - -class TestMQTTServiceCoercion: - """Tests for _coerce_value type conversion.""" - - def test_coerce_float_sensor(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("pressure", "9.05") == 9.05 - assert _coerce_value("flow_rate", "2.123") == 2.12 - assert _coerce_value("boiler_temperature", "93.5") == 93.5 - - def test_coerce_float_invalid(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("pressure", "n/a") == "n/a" - - def test_coerce_bool_sensor(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("brewing", "true") is True - assert _coerce_value("brewing", "false") is False - assert _coerce_value("connected", "True") is True - assert _coerce_value("connected", "0") is False - - def test_coerce_int_sensor(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("total_shots", "1234") == 1234 - assert _coerce_value("voltage", "230.0") == 230 - - def test_coerce_int_invalid(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("total_shots", "unknown") == "unknown" - - def test_coerce_string_sensor(self): - from services.mqtt_service import _coerce_value - - assert _coerce_value("state", "Idle") == "Idle" - assert _coerce_value("active_profile", "My Profile") == "My Profile" - - -class TestMQTTSubscriberLifecycle: - """Tests for MQTTSubscriber in TEST_MODE.""" - - def test_subscriber_start_test_mode(self): - """Subscriber skips connection in TEST_MODE.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - import asyncio - - loop = asyncio.new_event_loop() - try: - sub.start(loop) - # Should not create a thread - assert sub._thread is None - finally: - sub.stop() - loop.close() - - def test_subscriber_get_snapshot_empty(self): - """Empty subscriber returns empty dict.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - assert sub.get_snapshot() == {} - - def test_subscriber_ws_tracking(self): - """WebSocket client count tracking.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - assert sub.ws_client_count == 0 - sub.register_ws(1) - sub.register_ws(2) - assert sub.ws_client_count == 2 - sub.unregister_ws(1) - assert sub.ws_client_count == 1 - sub.unregister_ws(999) # no-op - assert sub.ws_client_count == 1 - - def test_get_mqtt_subscriber_singleton(self): - """get_mqtt_subscriber returns the same instance.""" - from services.mqtt_service import get_mqtt_subscriber, reset_mqtt_subscriber - - reset_mqtt_subscriber() - a = get_mqtt_subscriber() - b = get_mqtt_subscriber() - assert a is b - reset_mqtt_subscriber() - - def test_reset_mqtt_subscriber(self): - """reset_mqtt_subscriber clears the singleton.""" - from services.mqtt_service import get_mqtt_subscriber, reset_mqtt_subscriber - - a = get_mqtt_subscriber() - reset_mqtt_subscriber() - b = get_mqtt_subscriber() - assert a is not b - reset_mqtt_subscriber() - - -class TestMQTTSubscriberOnMessage: - """Tests for MQTTSubscriber._on_message parsing.""" - - def _make_msg(self, topic: str, payload: str): - msg = MagicMock() - msg.topic = topic - msg.payload = payload.encode("utf-8") - return msg - - def test_sensor_message(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - msg = self._make_msg("meticulous_espresso/sensor/pressure/state", "9.1") - sub._on_message(None, None, msg) - assert sub.snapshot["pressure"] == 9.1 - - def test_availability_message(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - msg = self._make_msg("meticulous_espresso/availability", "online") - sub._on_message(None, None, msg) - assert sub.snapshot["availability"] == "online" - - def test_health_message_json(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - payload = json.dumps({"uptime_seconds": 100, "api_connected": True}) - msg = self._make_msg("meticulous_espresso/health", payload) - sub._on_message(None, None, msg) - assert sub.snapshot["health"]["uptime_seconds"] == 100 - - def test_health_message_invalid_json(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - msg = self._make_msg("meticulous_espresso/health", "not-json") - sub._on_message(None, None, msg) - assert sub.snapshot["health"] == "not-json" - - def test_bool_sensor_message(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - msg = self._make_msg("meticulous_espresso/sensor/brewing/state", "true") - sub._on_message(None, None, msg) - assert sub.snapshot["brewing"] is True - - def test_non_state_topic_ignored(self): - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - msg = self._make_msg("meticulous_espresso/sensor/pressure/config", "9.1") - sub._on_message(None, None, msg) - assert "pressure" not in sub.snapshot - - -class TestWebSocketEndpoint: - """Tests for the /api/ws/live WebSocket endpoint.""" - - def test_websocket_connect_disconnect(self, client): - """WebSocket can connect and disconnect cleanly.""" - with client.websocket_connect("/api/ws/live") as ws: - # Connection accepted — close immediately by exiting context - ws.close() - - def test_websocket_connect_no_crash(self, client): - """WebSocket endpoint does not error on connect.""" - try: - with client.websocket_connect("/api/ws/live") as ws: - ws.close() - except Exception as exc: - pytest.fail(f"WebSocket connection raised: {exc}") - - -class TestSettingsMQTTEnabled: - """Tests for mqttEnabled in GET/POST /api/settings.""" - - def test_get_settings_includes_mqtt_enabled(self, client): - """GET /api/settings returns mqttEnabled flag.""" - response = client.get("/api/settings") - assert response.status_code == 200 - data = response.json() - assert "mqttEnabled" in data - - def test_get_settings_mqtt_default_true(self, client): - """mqttEnabled defaults to True.""" - response = client.get("/api/settings") - data = response.json() - assert data["mqttEnabled"] is True - - @patch.dict(os.environ, {"MQTT_ENABLED": "false"}) - def test_get_settings_mqtt_env_override(self, client): - """MQTT_ENABLED env var overrides stored setting.""" - response = client.get("/api/settings") - data = response.json() - assert data["mqttEnabled"] is False - - def test_post_settings_mqtt_toggle(self, client): - """POST /api/settings with mqttEnabled saves it.""" - response = client.post("/api/settings", json={"mqttEnabled": False}) - assert response.status_code == 200 - data = response.json() - assert "mqtt_subscriber" in data.get("services_restarted", []) - - def test_post_settings_mqtt_toggle_true(self, client): - """POST /api/settings with mqttEnabled=true restarts bridge.""" - response = client.post("/api/settings", json={"mqttEnabled": True}) - assert response.status_code == 200 - data = response.json() - assert "meticulous-bridge" in data.get("services_restarted", []) - - @patch("api.routes.system.subprocess.run") - @patch("api.routes.system.Path") - def test_post_settings_ip_restarts_bridge(self, mock_path_cls, mock_run, client): - """Changing meticulousIp also restarts the bridge.""" - mock_run.return_value = MagicMock(returncode=0) - # Make .env path mock writable so the endpoint doesn't crash - mock_env = MagicMock() - mock_env.exists.return_value = False - mock_path_cls.return_value = mock_env - response = client.post("/api/settings", json={"meticulousIp": "10.0.0.99"}) - assert response.status_code == 200 - data = response.json() - assert "meticulous-bridge" in data.get("services_restarted", []) - - -# ============================================================================ -# Last-Shot Endpoint Tests -# ============================================================================ - - -class TestLastShotEndpoint: - """Tests for GET /api/last-shot.""" - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_success(self, mock_dates, mock_files, mock_data, client): - """Returns metadata for the most recent shot.""" - d1 = MagicMock() - d1.name = "2026-02-14" - d2 = MagicMock() - d2.name = "2026-02-13" - mock_dates.return_value = [d1, d2] - f1 = MagicMock() - f1.name = "07:30:00.shot.json.zst" - f2 = MagicMock() - f2.name = "06:00:00.shot.json.zst" - mock_files.return_value = [f1, f2] - mock_data.return_value = { - "profile_name": "Berry Blast Bloom", - "time": "2026-02-14T07:30:00Z", - "data": [{"time": 42300, "shot": {"weight": 36.5, "pressure": 9.0}}], - } - response = client.get("/api/last-shot") - assert response.status_code == 200 - data = response.json() - assert data["profile_name"] == "Berry Blast Bloom" - assert data["date"] == "2026-02-14" - assert data["filename"] == "07:30:00.shot.json.zst" - assert data["final_weight"] == 36.5 - assert data["total_time"] == 42.3 - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_no_dates(self, mock_dates, client): - """Returns 404 when no shot dates exist.""" - mock_dates.return_value = [] - response = client.get("/api/last-shot") - assert response.status_code == 404 - - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_empty_files(self, mock_dates, mock_files, client): - """Returns 404 when dates exist but no files.""" - d = MagicMock() - d.name = "2026-02-14" - mock_dates.return_value = [d] - mock_files.return_value = [] - response = client.get("/api/last-shot") - assert response.status_code == 404 - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_profile_from_nested_profile( - self, mock_dates, mock_files, mock_data, client - ): - """Falls back to profile.name when profile_name is missing.""" - d = MagicMock() - d.name = "2026-02-14" - mock_dates.return_value = [d] - f = MagicMock() - f.name = "08:00:00.shot.json.zst" - mock_files.return_value = [f] - mock_data.return_value = { - "profile": {"name": "Slow-Mo Blossom"}, - "time": "2026-02-14T08:00:00Z", - "data": [], - } - response = client.get("/api/last-shot") - assert response.status_code == 200 - assert response.json()["profile_name"] == "Slow-Mo Blossom" - assert response.json()["final_weight"] is None - assert response.json()["total_time"] is None - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_api_error(self, mock_dates, client): - """Returns 502 on machine API error.""" - result = MagicMock() - result.error = "connection timeout" - mock_dates.return_value = result - response = client.get("/api/last-shot") - assert response.status_code == 502 - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_exception(self, mock_dates, client): - """Returns 500 on unexpected error.""" - mock_dates.side_effect = RuntimeError("disk full") - response = client.get("/api/last-shot") - assert response.status_code == 500 - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_last_shot_machine_unreachable_connection_error(self, mock_dates, client): - """Returns 503 when machine is unreachable during history lookup.""" - import requests - - mock_dates.side_effect = requests.exceptions.ConnectionError("dns failed") - - response = client.get("/api/last-shot") - - assert response.status_code == 503 - assert "unreachable" in response.json()["detail"].lower() - - -# ============================================================================ -# Machine Command Endpoint Tests -# ============================================================================ - - -class TestMachineCommandEndpoints: - """Tests for POST /api/machine/command/* endpoints.""" - - def test_command_start_success(self, client): - """Start command succeeds when machine idle.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - } - response = client.post("/api/machine/command/start") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "start_shot" - - def test_command_start_rejected_when_brewing(self, client): - """Start command rejected when a shot is already running.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": True, - } - response = client.post("/api/machine/command/start") - assert response.status_code == 409 - - def test_command_start_rejected_when_offline(self, client): - """Start command rejected when machine is offline.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "offline", - "connected": False, - } - response = client.post("/api/machine/command/start") - assert response.status_code == 409 - - def test_command_stop_success(self, client): - """Stop command succeeds when brewing.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": True, - } - response = client.post("/api/machine/command/stop") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "stop_shot" - - def test_command_stop_rejected_not_brewing(self, client): - """Stop command rejected when not brewing.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - } - response = client.post("/api/machine/command/stop") - assert response.status_code == 409 - - def test_command_abort_success(self, client): - """Abort command succeeds when brewing.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": True, - } - response = client.post("/api/machine/command/abort") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "abort_shot" - - def test_command_abort_during_preheat(self, client): - """Abort command succeeds during preheat (not brewing).""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - } - response = client.post("/api/machine/command/abort") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "abort_shot" - - def test_command_abort_offline(self, client): - """Abort command fails when machine is offline.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "offline", - "connected": False, - "brewing": False, - } - response = client.post("/api/machine/command/abort") - assert response.status_code == 409 - - def test_command_continue(self, client): - """Continue command always succeeds (no precondition).""" - response = client.post("/api/machine/command/continue") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "continue_shot" - - def test_command_preheat_success(self, client): - """Preheat command succeeds when idle.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - "state": "Idle", - } - response = client.post("/api/machine/command/preheat") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "preheat" - - def test_command_preheat_cancel_during_preheating(self, client): - """Preheat command succeeds during preheating (toggle off).""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - "state": "Preheating", - } - response = client.post("/api/machine/command/preheat") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "preheat" - - def test_command_preheat_rejected_while_brewing(self, client): - """Preheat command rejected while a shot is running.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": True, - "state": "Brewing", - } - response = client.post("/api/machine/command/preheat") - assert response.status_code == 409 - - def test_command_preheat_allowed_during_heating(self, client): - """Preheat command succeeds during heating state.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - "state": "Heating", - } - response = client.post("/api/machine/command/preheat") - assert response.status_code == 200 - assert response.json()["success"] is True - - def test_command_tare_success(self, client): - """Tare command succeeds when connected.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - } - response = client.post("/api/machine/command/tare") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "tare_scale" - - def test_command_home_plunger(self, client): - """Home plunger command succeeds when idle.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - } - response = client.post("/api/machine/command/home-plunger") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "home_plunger" - - def test_command_purge(self, client): - """Purge command succeeds when idle.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - "brewing": False, - } - response = client.post("/api/machine/command/purge") - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "purge" - - def test_command_load_profile(self, client): - """Load profile command sends only select_profile.""" - with ( - patch("api.routes.commands.get_mqtt_subscriber") as mock_sub, - patch( - "api.routes.commands._publish_command", return_value=True - ) as mock_pub, - ): - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - } - response = client.post( - "/api/machine/command/load-profile", json={"name": "Berry Blast Bloom"} - ) - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "select_profile" - # Must only send select_profile - calls = mock_pub.call_args_list - assert len(calls) == 1 - assert calls[0][0][0] == "meticulous_espresso/command/select_profile" - assert calls[0][0][1] == "Berry Blast Bloom" - - def test_command_brightness(self, client): - """Brightness command sends value (with connectivity check).""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - } - response = client.post( - "/api/machine/command/brightness", json={"value": 75} - ) - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "set_brightness" - - def test_command_brightness_validation(self, client): - """Brightness rejects out-of-range values.""" - response = client.post("/api/machine/command/brightness", json={"value": 150}) - assert response.status_code == 422 - - def test_command_sounds(self, client): - """Sounds command toggles sounds (with connectivity check).""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "online", - "connected": True, - } - response = client.post( - "/api/machine/command/sounds", json={"enabled": False} - ) - assert response.status_code == 200 - assert response.json()["success"] is True - assert response.json()["command"] == "enable_sounds" - - def test_command_publish_failure(self, client): - """Returns 503 when MQTT publish fails.""" - with patch("api.routes.commands._publish_command", return_value=False): - response = client.post("/api/machine/command/continue") - assert response.status_code == 503 - - -class TestPublishCommandFunction: - """Tests for the _publish_command helper.""" - - def test_publish_test_mode(self): - """In TEST_MODE, _publish_command returns True without connecting.""" - from api.routes.commands import _publish_command - - assert _publish_command("meticulous_espresso/command/tare_scale") is True - - def test_require_connected_offline(self): - """_require_connected raises 409 for offline machine.""" - from api.routes.commands import _require_connected - - with pytest.raises(HTTPException) as exc_info: - _require_connected({"availability": "offline"}) - assert exc_info.value.status_code == 409 - - def test_require_connected_disconnected(self): - """_require_connected raises 409 for disconnected machine.""" - from api.routes.commands import _require_connected - - with pytest.raises(HTTPException) as exc_info: - _require_connected({"connected": False}) - assert exc_info.value.status_code == 409 - - def test_require_idle_brewing(self): - """_require_idle raises 409 when brewing.""" - from api.routes.commands import _require_idle - - with pytest.raises(HTTPException) as exc_info: - _require_idle( - {"availability": "online", "connected": True, "brewing": True} - ) - assert exc_info.value.status_code == 409 - - def test_require_brewing_not_brewing(self): - """_require_brewing raises 409 when not brewing.""" - from api.routes.commands import _require_brewing - - with pytest.raises(HTTPException) as exc_info: - _require_brewing( - {"availability": "online", "connected": True, "brewing": False} - ) - assert exc_info.value.status_code == 409 - - -class TestCommandConnectivityGaps: - """Tests for connectivity checks added to brightness/sounds + validation.""" - - def test_command_brightness_rejected_when_offline(self, client): - """Brightness returns 409 when machine is offline.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "offline" - } - response = client.post( - "/api/machine/command/brightness", json={"value": 50} - ) - assert response.status_code == 409 - - def test_command_sounds_rejected_when_offline(self, client): - """Sounds returns 409 when machine is offline.""" - with patch("api.routes.commands.get_mqtt_subscriber") as mock_sub: - mock_sub.return_value.get_snapshot.return_value = { - "availability": "offline" - } - response = client.post( - "/api/machine/command/sounds", json={"enabled": True} - ) - assert response.status_code == 409 - - def test_command_load_profile_empty_name_rejected(self, client): - """Load profile rejects an empty profile name.""" - response = client.post("/api/machine/command/load-profile", json={"name": ""}) - assert response.status_code == 422 - - -class TestMQTTSubscriberAdvanced: - """Tests for thread-safety, callbacks, and stop behaviour.""" - - def test_subscriber_stop_graceful(self): - """stop() doesn't crash when client is None.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - sub.stop() # Should not raise - - def test_ws_tracking_thread_safe(self): - """register/unregister from concurrent calls stays consistent.""" - import threading - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - errors = [] - - def register_many(start): - try: - for i in range(start, start + 100): - sub.register_ws(i) - except Exception as e: - errors.append(e) - - def unregister_many(start): - try: - for i in range(start, start + 50): - sub.unregister_ws(i) - except Exception as e: - errors.append(e) - - threads = [ - threading.Thread(target=register_many, args=(0,)), - threading.Thread(target=register_many, args=(100,)), - threading.Thread(target=unregister_many, args=(0,)), - ] - for t in threads: - t.start() - for t in threads: - t.join() - assert not errors - # 200 registered - 50 unregistered = 150 - assert sub.ws_client_count == 150 - - def test_on_connect_success_subscribes(self): - """_on_connect with rc=0 subscribes to 3 topics.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - mock_client = MagicMock() - sub._on_connect(mock_client, None, None, 0) - assert mock_client.subscribe.call_count == 3 - - def test_on_connect_failure_logs(self): - """_on_connect with rc!=0 does not subscribe.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - mock_client = MagicMock() - sub._on_connect(mock_client, None, None, 5) - mock_client.subscribe.assert_not_called() - - def test_on_disconnect_unexpected_no_crash(self): - """_on_disconnect with rc!=0 logs but doesn't crash.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - sub._on_disconnect(MagicMock(), None, 1) # Should not raise - - def test_on_disconnect_clean(self): - """_on_disconnect with rc=0 is a clean disconnect.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - sub._on_disconnect(MagicMock(), None, 0) # Should not raise - - def test_signal_update_no_loop_noop(self): - """_signal_update with no loop set does nothing.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - sub._signal_update() # Should not raise - - def test_get_mqtt_subscriber_same_instance(self): - """get_mqtt_subscriber returns same instance on repeated calls.""" - from services.mqtt_service import get_mqtt_subscriber, reset_mqtt_subscriber - - reset_mqtt_subscriber() - try: - a = get_mqtt_subscriber() - b = get_mqtt_subscriber() - assert a is b - finally: - reset_mqtt_subscriber() - - def test_stop_with_mocked_client(self): - """stop() calls loop_stop and disconnect on the client.""" - from services.mqtt_service import MQTTSubscriber - - sub = MQTTSubscriber() - mock_client = MagicMock() - sub._client = mock_client - sub.stop() - mock_client.loop_stop.assert_called_once_with(force=True) - mock_client.disconnect.assert_called_once() - - -class TestBridgeServiceLogging: - """Tests for bridge_service restart logging paths.""" - - def test_restart_bridge_service_test_mode(self): - """restart_bridge_service returns True in TEST_MODE.""" - from services.bridge_service import restart_bridge_service - - assert restart_bridge_service() is True - - -class TestTailscaleStatusEndpoint: - """Tests for the Tailscale status and configuration endpoints.""" - - def test_tailscale_status_returns_config_fields(self, client): - """GET /api/tailscale-status includes enabled and auth_key_configured.""" - response = client.get("/api/tailscale-status") - assert response.status_code == 200 - data = response.json() - assert "enabled" in data - assert "auth_key_configured" in data - assert "installed" in data - assert "connected" in data - assert "external_url" in data - - def test_tailscale_status_defaults_disabled(self, client): - """Tailscale defaults to disabled when no settings configured.""" - # Ensure clean defaults - from services.settings_service import save_settings, _DEFAULT_SETTINGS - - save_settings(dict(_DEFAULT_SETTINGS)) - - response = client.get("/api/tailscale-status") - assert response.status_code == 200 - data = response.json() - assert data["enabled"] is False - - def test_tailscale_status_reads_enabled_from_settings(self, client): - """Status reflects tailscaleEnabled from settings.json.""" - from services.settings_service import load_settings, save_settings - - settings = load_settings() - settings["tailscaleEnabled"] = True - save_settings(settings) - - response = client.get("/api/tailscale-status") - assert response.status_code == 200 - data = response.json() - assert data["enabled"] is True - - def test_tailscale_status_auth_key_from_settings(self, client): - """auth_key_configured reflects tailscaleAuthKey in settings.""" - from services.settings_service import load_settings, save_settings - - settings = load_settings() - settings["tailscaleAuthKey"] = "tskey-auth-abc123" - save_settings(settings) - - response = client.get("/api/tailscale-status") - assert response.status_code == 200 - data = response.json() - assert data["auth_key_configured"] is True - - def test_tailscale_status_auth_key_from_env(self, client, monkeypatch): - """auth_key_configured checks TAILSCALE_AUTHKEY env var fallback.""" - monkeypatch.setenv("TAILSCALE_AUTHKEY", "tskey-auth-env") - - response = client.get("/api/tailscale-status") - assert response.status_code == 200 - data = response.json() - assert data["auth_key_configured"] is True - - -class TestTailscaleConfigureEndpoint: - """Tests for POST /api/tailscale/configure.""" - - def test_enable_tailscale(self, client): - """Enabling Tailscale saves to settings.""" - response = client.post("/api/tailscale/configure", json={"enabled": True}) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["enabled"] is True - - from services.settings_service import load_settings - - settings = load_settings() - assert settings["tailscaleEnabled"] is True - - def test_disable_tailscale(self, client): - """Disabling Tailscale saves to settings.""" - # First enable - client.post("/api/tailscale/configure", json={"enabled": True}) - # Then disable - response = client.post("/api/tailscale/configure", json={"enabled": False}) - assert response.status_code == 200 - data = response.json() - assert data["enabled"] is False - - from services.settings_service import load_settings - - settings = load_settings() - assert settings["tailscaleEnabled"] is False - - def test_save_auth_key(self, client): - """Saving an auth key updates settings.""" - response = client.post( - "/api/tailscale/configure", json={"authKey": "tskey-auth-test123"} - ) - assert response.status_code == 200 - data = response.json() - assert data["auth_key_configured"] is True - - from services.settings_service import load_settings - - settings = load_settings() - assert settings["tailscaleAuthKey"] == "tskey-auth-test123" - - def test_save_masked_key_ignored(self, client): - """Masked auth key values are not saved.""" - # Save a real key first - client.post("/api/tailscale/configure", json={"authKey": "tskey-auth-real"}) - - # Try to save a masked value - response = client.post( - "/api/tailscale/configure", json={"authKey": "tskey-***masked***"} - ) - assert response.status_code == 200 - - from services.settings_service import load_settings - - settings = load_settings() - assert settings["tailscaleAuthKey"] == "tskey-auth-real" - - def test_clear_auth_key(self, client): - """Empty auth key clears the saved key.""" - # Save a key first - client.post("/api/tailscale/configure", json={"authKey": "tskey-auth-real"}) - # Clear it - response = client.post("/api/tailscale/configure", json={"authKey": ""}) - assert response.status_code == 200 - - from services.settings_service import load_settings - - settings = load_settings() - assert settings["tailscaleAuthKey"] == "" - - def test_no_changes(self, client): - """Empty body returns success with no-changes message.""" - response = client.post("/api/tailscale/configure", json={}) - assert response.status_code == 200 - data = response.json() - assert "No changes" in data["message"] - - def test_enable_signals_restart(self, client): - """Toggling enabled state signals a restart is required.""" - response = client.post("/api/tailscale/configure", json={"enabled": True}) - assert response.status_code == 200 - data = response.json() - assert data["restart_required"] is True - - def test_auth_key_no_restart(self, client): - """Just changing auth key does not signal restart.""" - response = client.post( - "/api/tailscale/configure", json={"authKey": "tskey-auth-new"} - ) - assert response.status_code == 200 - data = response.json() - assert data.get("restart_required") is not True - - -class TestTailscaleSettingsDefaults: - """Test that settings_service includes Tailscale defaults.""" - - def test_default_settings_include_tailscale(self): - """Default settings include tailscaleEnabled and tailscaleAuthKey.""" - from services.settings_service import _DEFAULT_SETTINGS - - assert "tailscaleEnabled" in _DEFAULT_SETTINGS - assert "tailscaleAuthKey" in _DEFAULT_SETTINGS - assert _DEFAULT_SETTINGS["tailscaleEnabled"] is False - assert _DEFAULT_SETTINGS["tailscaleAuthKey"] == "" - - -class TestUpdateS6Env: - """Tests for _update_s6_env helper that writes to s6 container environment.""" - - def test_update_s6_env_writes_file(self, tmp_path): - """_update_s6_env writes the value to the s6 env directory.""" - from api.routes.system import _update_s6_env - - s6_dir = tmp_path / "container_environment" - s6_dir.mkdir() - with patch("api.routes.system.os.path.isdir", return_value=True): - with patch("builtins.open", mock_open()) as m: - with patch( - "api.routes.system.os.path.join", - return_value=str(s6_dir / "METICULOUS_IP"), - ): - _update_s6_env("METICULOUS_IP", "192.168.1.100", "req-1") - m.assert_called_once() - - def test_update_s6_env_no_dir(self): - """_update_s6_env is a no-op when s6 env dir doesn't exist.""" - from api.routes.system import _update_s6_env - - with patch("api.routes.system.os.path.isdir", return_value=False): - # Should not raise - _update_s6_env("METICULOUS_IP", "192.168.1.100", "req-2") - - def test_update_s6_env_permission_error(self, tmp_path): - """_update_s6_env handles write errors gracefully.""" - from api.routes.system import _update_s6_env - - with patch("api.routes.system.os.path.isdir", return_value=True): - with patch("builtins.open", side_effect=PermissionError("read-only")): - with patch( - "api.routes.system.os.path.join", - return_value="/var/run/s6/container_environment/X", - ): - # Should not raise, just log a warning - _update_s6_env("X", "val", "req-3") - - -class TestBridgeResolveMachineIp: - """Tests for the bridge's _resolve_machine_ip function.""" - - @staticmethod - def _get_bridge_module(): - """Import start_bridge from the bridge app directory.""" - import importlib - - bridge_dir = os.path.abspath( - os.path.join(os.path.dirname(__file__) or ".", "..", "bridge") - ) - sys_path_backup = sys.path.copy() - sys.path.insert(0, bridge_dir) - try: - import start_bridge - - importlib.reload(start_bridge) - return start_bridge - finally: - sys.path = sys_path_backup - - def test_resolve_from_env(self): - """Env var takes priority over settings.json.""" - mod = self._get_bridge_module() - with patch.dict(os.environ, {"METICULOUS_IP": "10.0.0.5"}): - assert mod._resolve_machine_ip() == "10.0.0.5" - - def test_resolve_from_settings_json(self, tmp_path): - """Falls back to settings.json when env var is empty.""" - mod = self._get_bridge_module() - settings_file = tmp_path / "settings.json" - settings_file.write_text('{"meticulousIp": "192.168.50.168"}') - with patch.dict(os.environ, {"METICULOUS_IP": "", "DATA_DIR": str(tmp_path)}): - assert mod._resolve_machine_ip() == "192.168.50.168" - - def test_resolve_default(self, tmp_path): - """Falls back to meticulous.local when nothing is configured.""" - mod = self._get_bridge_module() - with patch.dict( - os.environ, {"METICULOUS_IP": "", "DATA_DIR": str(tmp_path)}, clear=False - ): - assert mod._resolve_machine_ip() == "meticulous.local" - - -# ============================================================================== -# Data Loading Hardening Tests (#198) -# ============================================================================== - - -class TestDataLoadingHardening: - """Tests that all data-loading functions handle corrupt/unexpected types gracefully.""" - - # -- settings_service --------------------------------------------------- - - def test_settings_load_non_dict_returns_defaults(self, tmp_path): - """When settings.json contains a list, load_settings returns defaults.""" - from services.settings_service import ( - load_settings, - _DEFAULT_SETTINGS, - ) - import services.settings_service as ss - - old_file = ss.SETTINGS_FILE - old_cache = ss._settings_cache - try: - ss.SETTINGS_FILE = tmp_path / "settings.json" - ss._settings_cache = None - ss.SETTINGS_FILE.write_text("[1, 2, 3]") - - result = load_settings() - assert isinstance(result, dict) - # All default keys must be present - for key in _DEFAULT_SETTINGS: - assert key in result - finally: - ss.SETTINGS_FILE = old_file - ss._settings_cache = old_cache - - def test_settings_load_null_returns_defaults(self, tmp_path): - """When settings.json contains null, load_settings returns defaults.""" - import services.settings_service as ss - - old_file = ss.SETTINGS_FILE - old_cache = ss._settings_cache - try: - ss.SETTINGS_FILE = tmp_path / "settings.json" - ss._settings_cache = None - ss.SETTINGS_FILE.write_text("null") - - result = ss.load_settings() - assert isinstance(result, dict) - assert result.get("mqttEnabled") is True # default value - finally: - ss.SETTINGS_FILE = old_file - ss._settings_cache = old_cache - - def test_settings_load_merges_with_defaults(self, tmp_path): - """Partial settings on disk get missing keys filled from defaults.""" - import services.settings_service as ss - - old_file = ss.SETTINGS_FILE - old_cache = ss._settings_cache - try: - ss.SETTINGS_FILE = tmp_path / "settings.json" - ss._settings_cache = None - ss.SETTINGS_FILE.write_text('{"geminiApiKey": "test-key"}') - - result = ss.load_settings() - assert result["geminiApiKey"] == "test-key" - # Missing keys filled from defaults - assert "meticulousIp" in result - assert result["mqttEnabled"] is True - finally: - ss.SETTINGS_FILE = old_file - ss._settings_cache = old_cache - - # -- cache_service (LLM cache) ------------------------------------------ - - def test_llm_cache_load_non_dict_returns_empty(self, tmp_path): - """When llm cache file contains a list, _load_llm_cache returns {}.""" - import services.cache_service as cs - - old_file = cs.LLM_CACHE_FILE - old_cache = cs._llm_cache - try: - cs.LLM_CACHE_FILE = tmp_path / "llm_analysis_cache.json" - cs._llm_cache = None - cs.LLM_CACHE_FILE.write_text("[1, 2, 3]") - - result = cs._load_llm_cache() - assert isinstance(result, dict) - assert result == {} - finally: - cs.LLM_CACHE_FILE = old_file - cs._llm_cache = old_cache - - def test_llm_cache_load_null_returns_empty(self, tmp_path): - """When llm cache file contains null, _load_llm_cache returns {}.""" - import services.cache_service as cs - - old_file = cs.LLM_CACHE_FILE - old_cache = cs._llm_cache - try: - cs.LLM_CACHE_FILE = tmp_path / "llm_analysis_cache.json" - cs._llm_cache = None - cs.LLM_CACHE_FILE.write_text("null") - - result = cs._load_llm_cache() - assert isinstance(result, dict) - assert result == {} - finally: - cs.LLM_CACHE_FILE = old_file - cs._llm_cache = old_cache - - # -- cache_service (shot cache) ------------------------------------------ - - def test_shot_cache_load_non_dict_returns_empty(self, tmp_path): - """When shot cache file contains a string, _load_shot_cache returns {}.""" - import services.cache_service as cs - - old_file = cs.SHOT_CACHE_FILE - old_cache = cs._shot_cache - try: - cs.SHOT_CACHE_FILE = tmp_path / "shot_cache.json" - cs._shot_cache = None - cs.SHOT_CACHE_FILE.write_text('"just a string"') - - result = cs._load_shot_cache() - assert isinstance(result, dict) - assert result == {} - finally: - cs.SHOT_CACHE_FILE = old_file - cs._shot_cache = old_cache - - # -- history_service ---------------------------------------------------- - - def test_history_load_non_list_returns_empty(self, tmp_path): - """When history file contains a dict, load_history returns [].""" - import services.history_service as hs - - old_file = hs.HISTORY_FILE - old_cache = hs._history_cache - try: - hs.HISTORY_FILE = tmp_path / "profile_history.json" - hs._history_cache = None - hs.HISTORY_FILE.write_text('{"not": "a list"}') - - result = hs.load_history() - assert isinstance(result, list) - assert result == [] - finally: - hs.HISTORY_FILE = old_file - hs._history_cache = old_cache - - def test_history_load_null_returns_empty(self, tmp_path): - """When history file contains null, load_history returns [].""" - import services.history_service as hs - - old_file = hs.HISTORY_FILE - old_cache = hs._history_cache - try: - hs.HISTORY_FILE = tmp_path / "profile_history.json" - hs._history_cache = None - hs.HISTORY_FILE.write_text("null") - - result = hs.load_history() - assert isinstance(result, list) - assert result == [] - finally: - hs.HISTORY_FILE = old_file - hs._history_cache = old_cache - - -# ============================================================================ -# Pour-Over Profile Adaptation Tests -# ============================================================================ - - -class TestAdaptPourOverProfile: - """Tests for services.pour_over_adapter.adapt_pour_over_profile().""" - - def test_adapt_basic_with_bloom(self): - """Adaptation with bloom enabled produces correct profile structure.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile( - target_weight=250.0, - bloom_enabled=True, - bloom_seconds=45.0, - dose_grams=18.0, - brew_ratio=13.9, - ) - - assert profile["final_weight"] == 250.0 - assert profile["name"] == "MeticAI Ratio Pour-Over" - assert len(profile["stages"]) == 2 - - # Bloom stage - bloom = profile["stages"][0] - assert "Bloom" in bloom["name"] - assert "45s" in bloom["name"] - time_triggers = [t for t in bloom["exit_triggers"] if t["type"] == "time"] - assert len(time_triggers) == 1 - assert time_triggers[0]["value"] == 45.0 - - # Infusion stage - infusion = profile["stages"][1] - assert "Infusion" in infusion["name"] - assert "250g" in infusion["name"] - weight_triggers = [ - t for t in infusion["exit_triggers"] if t["type"] == "weight" - ] - assert len(weight_triggers) == 1 - assert weight_triggers[0]["value"] == 250.0 - - def test_adapt_without_bloom(self): - """Adaptation with bloom disabled removes bloom stage.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile( - target_weight=300.0, - bloom_enabled=False, - ) - - assert profile["final_weight"] == 300.0 - assert len(profile["stages"]) == 1 - assert profile["name"] == "MeticAI Ratio Pour-Over" - - stage = profile["stages"][0] - assert "Infusion" in stage["name"] - assert "300g" in stage["name"] - weight_triggers = [t for t in stage["exit_triggers"] if t["type"] == "weight"] - assert weight_triggers[0]["value"] == 300.0 - - def test_adapt_unique_id(self): - """Each adaptation generates a unique profile ID.""" - from services.pour_over_adapter import adapt_pour_over_profile - - p1 = adapt_pour_over_profile(target_weight=200.0) - p2 = adapt_pour_over_profile(target_weight=200.0) - assert p1["id"] != p2["id"] - - def test_adapt_short_description(self): - """Short description includes target, dose, and ratio info.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile( - target_weight=250.0, - dose_grams=18.0, - brew_ratio=13.9, - ) - short_desc = profile.get("display", {}).get("shortDescription", "") - assert "250g" in short_desc - assert "18.0g" in short_desc - assert "13.9" in short_desc - assert len(short_desc) <= 99 - - def test_adapt_short_description_truncated(self): - """Short description is truncated to 99 chars.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile( - target_weight=250.0, - dose_grams=18.0, - brew_ratio=13.9, - ) - short_desc = profile.get("display", {}).get("shortDescription", "") - assert len(short_desc) <= 99 - - def test_adapt_does_not_mutate_template(self): - """Adaptation does not modify the loaded template.""" - from services.pour_over_adapter import adapt_pour_over_profile - - adapt_pour_over_profile(target_weight=100.0, bloom_enabled=False) - p2 = adapt_pour_over_profile( - target_weight=500.0, bloom_enabled=True, bloom_seconds=60.0 - ) - - # p2 should still have 2 stages (bloom not removed from template) - assert len(p2["stages"]) == 2 - assert p2["final_weight"] == 500.0 - - def test_adapt_default_bloom_seconds(self): - """Default bloom seconds is 30.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile(target_weight=200.0, bloom_enabled=True) - bloom = profile["stages"][0] - time_triggers = [t for t in bloom["exit_triggers"] if t["type"] == "time"] - assert time_triggers[0]["value"] == 30.0 - - def test_adapt_preserves_template_structure(self): - """Adapted profile preserves variables, dynamics, etc.""" - from services.pour_over_adapter import adapt_pour_over_profile - - profile = adapt_pour_over_profile(target_weight=200.0) - assert "variables" in profile - assert profile["temperature"] == 0 - for stage in profile["stages"]: - assert "dynamics" in stage - assert "exit_triggers" in stage - - -# ============================================================================ -# TempProfileService Tests -# ============================================================================ - - -class TestTempProfileService: - """Tests for services.temp_profile_service.""" - - def setup_method(self): - """Reset module state before each test.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - def test_get_active_none(self): - """get_active returns None when no temp profile is active.""" - import services.temp_profile_service as tps - - assert tps.get_active() is None - - @pytest.mark.asyncio - async def test_create_and_load_success(self): - """create_and_load creates a profile, loads it, and tracks it.""" - import services.temp_profile_service as tps - - mock_profile_json = {"name": "MeticAI Ratio Pour-Over", "id": "test-uuid-123"} - - with ( - patch("services.temp_profile_service.async_create_profile") as mock_create, - patch( - "services.temp_profile_service.async_load_profile_by_id" - ) as mock_load, - patch("services.temp_profile_service.async_list_profiles", return_value=[]), - ): - mock_create.return_value = {"id": "machine-uuid-456"} - mock_load.return_value = None - - result = await tps.create_and_load( - mock_profile_json, params={"target_weight": 250} - ) - - assert result["profile_id"] == "machine-uuid-456" - assert result["profile_name"] == "MeticAI Ratio Pour-Over" - mock_create.assert_called_once() - mock_load.assert_called_once_with("machine-uuid-456") - - active = tps.get_active() - assert active is not None - assert active["profile_id"] == "machine-uuid-456" - assert active["original_params"]["target_weight"] == 250 - - @pytest.mark.asyncio - async def test_create_and_load_preserves_name(self): - """create_and_load preserves the profile name from caller.""" - import services.temp_profile_service as tps - - mock_profile = {"name": "MeticAI Ratio Pour-Over", "id": "test-id"} - - with ( - patch("services.temp_profile_service.async_create_profile") as mock_create, - patch("services.temp_profile_service.async_load_profile_by_id"), - patch("services.temp_profile_service.async_list_profiles", return_value=[]), - ): - mock_create.return_value = {"id": "abc"} - await tps.create_and_load(mock_profile) - - created_profile = mock_create.call_args[0][0] - assert created_profile["name"] == "MeticAI Ratio Pour-Over" - - @pytest.mark.asyncio - async def test_create_and_load_replaces_existing(self): - """create_and_load force-cleans existing temp profile first.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile(profile_id="old-id", profile_name="Old Profile") - ) - - with ( - patch("services.temp_profile_service.async_create_profile") as mock_create, - patch("services.temp_profile_service.async_load_profile_by_id"), - patch("services.temp_profile_service.async_delete_profile") as mock_delete, - patch("services.temp_profile_service.async_list_profiles", return_value=[]), - ): - mock_create.return_value = {"id": "new-id"} - await tps.create_and_load({"name": "New", "id": "new-id"}) - - # Should have deleted old active + no pre-existing profiles found - mock_delete.assert_called_once_with("old-id") - active = tps.get_active() - assert active["profile_id"] == "new-id" - - @pytest.mark.asyncio - async def test_cleanup_success(self): - """cleanup purges and deletes the active temp profile.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="cleanup-id", profile_name="MeticAI Ratio Pour-Over" - ) - ) - - with ( - patch("services.temp_profile_service.async_delete_profile") as mock_delete, - patch("api.routes.commands._get_snapshot", return_value={"brewing": False}), - patch("api.routes.commands._do_publish"), - ): - mock_delete.return_value = None - result = await tps.cleanup() - - assert result["status"] == "cleaned_up" - assert result["deleted_profile"] == "MeticAI Ratio Pour-Over" - mock_delete.assert_called_once_with("cleanup-id") - assert tps.get_active() is None - - @pytest.mark.asyncio - async def test_cleanup_no_active(self): - """cleanup returns no_active_profile when nothing is active.""" - import services.temp_profile_service as tps - - result = await tps.cleanup() - assert result["status"] == "no_active_profile" - - @pytest.mark.asyncio - async def test_force_cleanup_success(self): - """force_cleanup deletes without purging.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="force-id", profile_name="MeticAI Ratio Pour-Over" - ) - ) - - with patch("services.temp_profile_service.async_delete_profile") as mock_delete: - mock_delete.return_value = None - result = await tps.force_cleanup() - - assert result["status"] == "force_cleaned_up" - assert tps.get_active() is None - - @pytest.mark.asyncio - async def test_force_cleanup_no_active(self): - """force_cleanup returns no_active_profile when nothing is active.""" - import services.temp_profile_service as tps - - result = await tps.force_cleanup() - assert result["status"] == "no_active_profile" - - @pytest.mark.asyncio - async def test_cleanup_delete_fails_gracefully(self): - """cleanup reports delete_failed when delete raises.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="fail-id", profile_name="MeticAI Ratio Pour-Over" - ) - ) - - with ( - patch("services.temp_profile_service.async_delete_profile") as mock_delete, - patch("api.routes.commands._get_snapshot", return_value={"brewing": False}), - patch("api.routes.commands._do_publish"), - ): - mock_delete.side_effect = Exception("Delete error") - result = await tps.cleanup() - - assert result["status"] == "delete_failed" - assert "Delete error" in result["error"] - assert tps.get_active() is None - - @pytest.mark.asyncio - async def test_cleanup_stale_success(self): - """cleanup_stale removes orphaned [Temp] profiles.""" - import services.temp_profile_service as tps - - mock_profile1 = Mock() - mock_profile1.name = "MeticAI Ratio Pour-Over" - mock_profile1.id = "stale-1" - - mock_profile2 = Mock() - mock_profile2.name = "Regular Profile" - mock_profile2.id = "regular-1" - - mock_profile3 = Mock() - mock_profile3.name = "Some Other Profile" - mock_profile3.id = "other-1" - - with ( - patch("services.temp_profile_service.async_list_profiles") as mock_list, - patch("services.temp_profile_service.async_delete_profile") as mock_delete, - ): - mock_list.return_value = [mock_profile1, mock_profile2, mock_profile3] - mock_delete.return_value = None - - result = await tps.cleanup_stale() - - assert result["deleted"] == 1 - assert mock_delete.call_count == 1 - # Only the known temp profile name should be deleted - deleted_ids = [call[0][0] for call in mock_delete.call_args_list] - assert "stale-1" in deleted_ids - assert "regular-1" not in deleted_ids - assert "other-1" not in deleted_ids - - @pytest.mark.asyncio - async def test_cleanup_stale_machine_unreachable(self): - """cleanup_stale handles machine unreachable gracefully.""" - import services.temp_profile_service as tps - from services.meticulous_service import MachineUnreachableError - - with patch("services.temp_profile_service.async_list_profiles") as mock_list: - mock_list.side_effect = MachineUnreachableError() - result = await tps.cleanup_stale() - - assert result["deleted"] == 0 - assert result.get("skipped") == "machine_unreachable" - - @pytest.mark.asyncio - async def test_cleanup_stale_no_profiles(self): - """cleanup_stale handles empty profile list.""" - import services.temp_profile_service as tps - - with patch("services.temp_profile_service.async_list_profiles") as mock_list: - mock_list.return_value = [] - result = await tps.cleanup_stale() - assert result["deleted"] == 0 - - -# ============================================================================ -# Pour-Over API Endpoint Tests -# ============================================================================ - - -class TestPourOverEndpoints: - """Tests for /api/pour-over/* endpoints.""" - - @patch("services.temp_profile_service.async_load_profile_from_json") - def test_prepare_success(self, mock_load_json, client): - """POST /api/pour-over/prepare loads an ephemeral temp profile.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - mock_load_json.return_value = { - "id": "prep-id-123", - "name": "MeticAI Ratio Pour-Over", - } - - response = client.post( - "/api/pour-over/prepare", - json={ - "target_weight": 250.0, - "bloom_enabled": True, - "bloom_seconds": 45.0, - "dose_grams": 18.0, - "brew_ratio": 13.9, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["profile_name"] == "MeticAI Ratio Pour-Over" - mock_load_json.assert_called_once() - - @patch("services.temp_profile_service.async_load_profile_from_json") - def test_prepare_without_bloom(self, mock_load_json, client): - """POST /api/pour-over/prepare works without bloom.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - mock_load_json.return_value = { - "id": "no-bloom-id", - "name": "MeticAI Ratio Pour-Over", - } - - response = client.post( - "/api/pour-over/prepare", - json={ - "target_weight": 300.0, - "bloom_enabled": False, - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["profile_name"] == "MeticAI Ratio Pour-Over" - - def test_prepare_invalid_weight(self, client): - """POST /api/pour-over/prepare rejects non-positive weight.""" - response = client.post( - "/api/pour-over/prepare", - json={ - "target_weight": 0, - }, - ) - assert response.status_code == 422 - - def test_prepare_missing_weight(self, client): - """POST /api/pour-over/prepare requires target_weight.""" - response = client.post("/api/pour-over/prepare", json={}) - assert response.status_code == 422 - - def test_cleanup_success(self, client): - """POST /api/pour-over/cleanup cleans up the active ephemeral profile.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="cleanup-ep-id", - profile_name="MeticAI Ratio Pour-Over", - ephemeral=True, - ) - ) - - with ( - patch("api.routes.commands._get_snapshot", return_value={"brewing": False}), - patch("api.routes.commands._do_publish"), - ): - response = client.post("/api/pour-over/cleanup") - - assert response.status_code == 200 - assert response.json()["status"] == "cleaned_up" - - def test_cleanup_no_active(self, client): - """POST /api/pour-over/cleanup returns no_active_profile.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - response = client.post("/api/pour-over/cleanup") - assert response.status_code == 200 - assert response.json()["status"] == "no_active_profile" - - def test_force_cleanup_success(self, client): - """POST /api/pour-over/force-cleanup cleans up without purge.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="force-ep-id", - profile_name="MeticAI Ratio Pour-Over", - ephemeral=True, - ) - ) - - response = client.post("/api/pour-over/force-cleanup") - assert response.status_code == 200 - assert response.json()["status"] == "force_cleaned_up" - - def test_force_cleanup_no_active(self, client): - """POST /api/pour-over/force-cleanup returns no_active_profile.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - response = client.post("/api/pour-over/force-cleanup") - assert response.status_code == 200 - assert response.json()["status"] == "no_active_profile" - - def test_get_active_none(self, client): - """GET /api/pour-over/active returns active=false when none.""" - import services.temp_profile_service as tps - - tps._set_active(None) - - response = client.get("/api/pour-over/active") - assert response.status_code == 200 - data = response.json() - assert data["active"] is False - assert data["profile_id"] is None - - def test_get_active_with_profile(self, client): - """GET /api/pour-over/active returns profile details when active.""" - import services.temp_profile_service as tps - from services.temp_profile_service import ActiveTempProfile - - tps._set_active( - ActiveTempProfile( - profile_id="active-id", - profile_name="MeticAI Ratio Pour-Over", - original_params={"target_weight": 250}, - ) - ) - - response = client.get("/api/pour-over/active") - assert response.status_code == 200 - data = response.json() - assert data["active"] is True - assert data["profile_id"] == "active-id" - assert data["profile_name"] == "MeticAI Ratio Pour-Over" - assert data["original_params"]["target_weight"] == 250 - - -# ============================================================================ -# Pour-Over Preferences Tests -# ============================================================================ - - -class TestPourOverPreferencesService: - """Unit tests for services.pour_over_preferences.""" - - def test_load_returns_defaults_when_no_file(self, tmp_path, monkeypatch): - """load_preferences returns defaults when no file exists.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - result = prefs.load_preferences() - assert result["free"]["autoStart"] is True - assert result["free"]["bloomEnabled"] is True - assert result["free"]["bloomSeconds"] == 30 - assert result["free"]["machineIntegration"] is False - assert result["ratio"]["autoStart"] is True - - def test_save_and_load_round_trip(self, tmp_path, monkeypatch): - """Preferences survive a save+clear+load cycle.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - prefs.save_preferences( - { - "free": { - "autoStart": False, - "bloomEnabled": False, - "bloomSeconds": 45, - "machineIntegration": True, - }, - "ratio": { - "autoStart": True, - "bloomEnabled": True, - "bloomSeconds": 20, - "machineIntegration": True, - }, - } - ) - - prefs.reset_cache() - result = prefs.load_preferences() - assert result["free"]["autoStart"] is False - assert result["free"]["bloomSeconds"] == 45 - assert result["ratio"]["bloomSeconds"] == 20 - assert result["ratio"]["machineIntegration"] is True - - def test_save_drops_unknown_keys(self, tmp_path, monkeypatch): - """Unknown keys in the payload are silently dropped.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - prefs.save_preferences( - { - "free": {"autoStart": True, "extraKey": "nope"}, - "ratio": {}, - } - ) - - prefs.reset_cache() - result = prefs.load_preferences() - assert "extraKey" not in result["free"] - # defaults still present - assert result["free"]["bloomEnabled"] is True - - def test_load_handles_corrupt_json(self, tmp_path, monkeypatch): - """Corrupt JSON on disk falls back to defaults.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - prefs_file = tmp_path / "prefs.json" - prefs_file.write_text("NOT-JSON!!!") - monkeypatch.setattr(prefs, "PREFS_FILE", prefs_file) - - result = prefs.load_preferences() - assert result["free"]["autoStart"] is True - assert result["ratio"]["bloomSeconds"] == 30 - - def test_load_uses_cache(self, tmp_path, monkeypatch): - """Second call returns cached copy without re-reading disk.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - prefs_file = tmp_path / "prefs.json" - monkeypatch.setattr(prefs, "PREFS_FILE", prefs_file) - - first = prefs.load_preferences() - # Overwrite file with garbage – cache should still work - prefs_file.write_text("GARBAGE") - second = prefs.load_preferences() - assert first is second - - def test_save_partial_mode_fills_defaults(self, tmp_path, monkeypatch): - """If a mode dict is missing keys, defaults are used.""" - import services.pour_over_preferences as prefs - - prefs.reset_cache() - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - result = prefs.save_preferences({"free": {"autoStart": False}, "ratio": {}}) - assert result["free"]["autoStart"] is False - assert result["free"]["bloomEnabled"] is True # default - assert result["ratio"]["autoStart"] is True # default - - -class TestPourOverPreferencesEndpoints: - """Integration tests for /api/pour-over/preferences endpoints.""" - - def setup_method(self): - import services.pour_over_preferences as prefs - - prefs.reset_cache() - - def test_get_preferences_defaults(self, client, tmp_path, monkeypatch): - """GET /api/pour-over/preferences returns defaults.""" - import services.pour_over_preferences as prefs - - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - response = client.get("/api/pour-over/preferences") - assert response.status_code == 200 - data = response.json() - assert data["free"]["autoStart"] is True - assert data["ratio"]["machineIntegration"] is False - - def test_put_preferences(self, client, tmp_path, monkeypatch): - """PUT /api/pour-over/preferences saves and returns preferences.""" - import services.pour_over_preferences as prefs - - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - payload = { - "free": { - "autoStart": False, - "bloomEnabled": True, - "bloomSeconds": 45, - "machineIntegration": False, - }, - "ratio": { - "autoStart": True, - "bloomEnabled": False, - "bloomSeconds": 20, - "machineIntegration": True, - }, - } - response = client.put("/api/pour-over/preferences", json=payload) - assert response.status_code == 200 - data = response.json() - assert data["free"]["autoStart"] is False - assert data["free"]["bloomSeconds"] == 45 - assert data["ratio"]["bloomEnabled"] is False - assert data["ratio"]["machineIntegration"] is True - - def test_put_then_get_round_trip(self, client, tmp_path, monkeypatch): - """PUT then GET returns the same preferences.""" - import services.pour_over_preferences as prefs - - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - payload = { - "free": { - "autoStart": False, - "bloomEnabled": False, - "bloomSeconds": 60, - "machineIntegration": True, - }, - "ratio": { - "autoStart": False, - "bloomEnabled": True, - "bloomSeconds": 15, - "machineIntegration": False, - }, - } - client.put("/api/pour-over/preferences", json=payload) - - prefs.reset_cache() # force re-read from disk - response = client.get("/api/pour-over/preferences") - data = response.json() - assert data["free"]["autoStart"] is False - assert data["free"]["bloomSeconds"] == 60 - assert data["ratio"]["bloomSeconds"] == 15 - - def test_put_partial_payload_defaults(self, client, tmp_path, monkeypatch): - """PUT with partial data fills missing fields from defaults.""" - import services.pour_over_preferences as prefs - - monkeypatch.setattr(prefs, "PREFS_FILE", tmp_path / "prefs.json") - - response = client.put( - "/api/pour-over/preferences", - json={ - "free": {"autoStart": False}, - "ratio": {}, - }, - ) - assert response.status_code == 200 - data = response.json() - assert data["free"]["autoStart"] is False - assert data["free"]["bloomEnabled"] is True # default - assert data["ratio"]["autoStart"] is True # default - - -# ============================================================================ -# Profile shortDescription Validation Tests -# ============================================================================ - - -class TestShortDescriptionValidation: - """Tests for shortDescription truncation in _normalize_profile_for_machine.""" - - def test_short_desc_under_limit_unchanged(self): - """shortDescription under 99 chars is left unchanged.""" - from services.meticulous_service import _normalize_profile_for_machine - - profile = { - "name": "Test", - "stages": [], - "display": {"shortDescription": "Short desc"}, - } - result = _normalize_profile_for_machine(profile) - assert result["display"]["shortDescription"] == "Short desc" - - def test_short_desc_over_limit_truncated(self): - """shortDescription over 99 chars is truncated.""" - from services.meticulous_service import _normalize_profile_for_machine - - long_desc = "A" * 150 - profile = { - "name": "Test", - "stages": [], - "display": {"shortDescription": long_desc}, - } - result = _normalize_profile_for_machine(profile) - assert len(result["display"]["shortDescription"]) == 99 - - def test_short_desc_exactly_99_unchanged(self): - """shortDescription exactly 99 chars is left unchanged.""" - from services.meticulous_service import _normalize_profile_for_machine - - desc = "A" * 99 - profile = { - "name": "Test", - "stages": [], - "display": {"shortDescription": desc}, - } - result = _normalize_profile_for_machine(profile) - assert result["display"]["shortDescription"] == desc - assert len(result["display"]["shortDescription"]) == 99 - - def test_short_desc_missing_no_error(self): - """Missing shortDescription doesn't cause an error.""" - from services.meticulous_service import _normalize_profile_for_machine - - profile = {"name": "Test", "stages": [], "display": {}} - result = _normalize_profile_for_machine(profile) - assert "shortDescription" not in result["display"] - - def test_short_desc_none_no_error(self): - """None shortDescription doesn't cause an error.""" - from services.meticulous_service import _normalize_profile_for_machine - - profile = {"name": "Test", "stages": [], "display": {"shortDescription": None}} - result = _normalize_profile_for_machine(profile) - # None is not a string, so it's not truncated - assert result["display"]["shortDescription"] is None - - -# ============================================================================ -# Recipe Adapter Tests -# ============================================================================ - - -class TestRecipeAdapter: - """Tests for services/recipe_adapter.py — OPOS → Meticulous profile.""" - - def test_list_recipe_slugs_returns_list(self): - """list_recipe_slugs returns a non-empty sorted list.""" - from services.recipe_adapter import list_recipe_slugs - - slugs = list_recipe_slugs() - assert isinstance(slugs, list) - assert len(slugs) >= 4 - - def test_list_recipe_slugs_contains_known_recipes(self): - """list_recipe_slugs includes the four confirmed bundled recipes.""" - from services.recipe_adapter import list_recipe_slugs - - slugs = list_recipe_slugs() - for expected in ("4-6-method", "hoffmann-v2", "lance-hedrick-single-pour"): - assert expected in slugs, f"Expected slug '{expected}' not found in {slugs}" - - def test_load_recipe_success(self): - """load_recipe loads the 4:6 recipe and injects the slug key.""" - from services.recipe_adapter import load_recipe - - recipe = load_recipe("4-6-method") - assert recipe["slug"] == "4-6-method" - assert recipe["metadata"]["name"] == "4:6 Method (Stronger)" - assert recipe["ingredients"]["coffee_g"] == 20.0 - assert recipe["ingredients"]["water_g"] == 300.0 - assert len(recipe["protocol"]) == 9 - - def test_load_recipe_not_found_raises(self): - """load_recipe raises FileNotFoundError for an unknown slug.""" - from services.recipe_adapter import load_recipe - - with pytest.raises(FileNotFoundError): - load_recipe("nonexistent-recipe-xyz-abc") - - def test_list_recipes_returns_all_bundled(self): - """list_recipes returns at least the four confirmed recipes.""" - from services.recipe_adapter import list_recipes - - recipes = list_recipes() - assert isinstance(recipes, list) - assert len(recipes) >= 4 - names = {r["metadata"]["name"] for r in recipes} - assert any("4:6 Method" in n for n in names) - - def test_list_recipes_each_has_slug(self): - """Every recipe returned by list_recipes has a slug field.""" - from services.recipe_adapter import list_recipes - - for recipe in list_recipes(): - assert "slug" in recipe, ( - f"Recipe missing slug: {recipe.get('metadata', {}).get('name')}" - ) - - def test_adapt_recipe_46_method_stages(self): - """4:6 recipe produces 9 stages: 5 pours (weight exit) + 4 waits (time exit).""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("4-6-method") - profile = adapt_recipe_to_profile(recipe) - - assert profile["name"] == "MeticAI Recipe: 4:6 Method (Stronger)" - assert profile["final_weight"] == 300.0 - assert len(profile["stages"]) == 9 - - pour_stages = [s for s in profile["stages"] if "Pour" in s.get("name", "")] - wait_stages = [s for s in profile["stages"] if "Wait" in s.get("name", "")] - assert len(pour_stages) == 5 - assert len(wait_stages) == 4 - - for s in pour_stages: - assert s["exit_triggers"][0]["type"] == "weight" - for s in wait_stages: - assert s["exit_triggers"][0]["type"] == "time" - - # Cumulative weight of all 5 × 60g pours = 300g - assert pour_stages[-1]["exit_triggers"][0]["value"] == pytest.approx(300.0) - - def test_adapt_recipe_hoffmann_has_bloom(self): - """Hoffmann V2 profile has a Bloom stage as first stage.""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("hoffmann-v2") - profile = adapt_recipe_to_profile(recipe) - - first_stage = profile["stages"][0] - assert "Bloom" in first_stage["name"] - assert first_stage["exit_triggers"][0]["type"] == "time" - - def test_adapt_recipe_name_prefix(self): - """All adapted profiles have the 'MeticAI Recipe: ' prefix.""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("hoffmann-v2") - profile = adapt_recipe_to_profile(recipe) - assert profile["name"].startswith("MeticAI Recipe: ") - - def test_adapt_recipe_unique_ids(self): - """Two calls to adapt_recipe_to_profile produce different UUIDs.""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("4-6-method") - p1 = adapt_recipe_to_profile(recipe) - p2 = adapt_recipe_to_profile(recipe) - assert p1["id"] != p2["id"] - - def test_adapt_recipe_stages_use_power_type(self): - """All stages use type 'power' (pour-over has no heating/pressure).""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("4-6-method") - for stage in adapt_recipe_to_profile(recipe)["stages"]: - assert stage["type"] == "power" - - def test_adapt_lance_hedrick_final_weight(self): - """Lance Hedrick profile's final_weight matches recipe water_g.""" - from services.recipe_adapter import load_recipe, adapt_recipe_to_profile - - recipe = load_recipe("lance-hedrick-single-pour") - profile = adapt_recipe_to_profile(recipe) - assert profile["final_weight"] == pytest.approx( - recipe["ingredients"]["water_g"] - ) - - def test_adapt_recipe_missing_recipes_dir_returns_empty_list( - self, tmp_path, monkeypatch - ): - """When recipes directory doesn't exist, list_recipe_slugs returns [].""" - import services.recipe_adapter as ra - - monkeypatch.setattr(ra, "_SEARCH_DIRS", (tmp_path / "nonexistent_dir",)) - slugs = ra.list_recipe_slugs() - assert slugs == [] - - def test_adapt_recipe_from_custom_dir(self, tmp_path, monkeypatch): - """adapt_recipe_to_profile works with a custom recipe JSON.""" - import services.recipe_adapter as ra - - custom_recipe = { - "version": "1.1.0", - "metadata": {"name": "Test Custom Recipe"}, - "equipment": {"dripper": {"model": "V60"}}, - "ingredients": { - "coffee_g": 15.0, - "water_g": 250.0, - "grind_setting": "Medium", - }, - "protocol": [ - {"step": 1, "action": "bloom", "water_g": 45, "duration_s": 30}, - {"step": 2, "action": "wait", "duration_s": 15}, - {"step": 3, "action": "pour", "water_g": 205, "duration_s": 90}, - ], - } - - profile = ra.adapt_recipe_to_profile(custom_recipe) - assert profile["name"] == "MeticAI Recipe: Test Custom Recipe" - assert profile["final_weight"] == pytest.approx(250.0) - assert len(profile["stages"]) == 3 - - bloom = profile["stages"][0] - assert "Bloom" in bloom["name"] - assert bloom["exit_triggers"][0]["type"] == "time" - assert bloom["exit_triggers"][0]["value"] == pytest.approx(30.0) - - wait = profile["stages"][1] - assert wait["exit_triggers"][0]["type"] == "time" - assert wait["exit_triggers"][0]["value"] == pytest.approx(15.0) - - pour = profile["stages"][2] - assert pour["exit_triggers"][0]["type"] == "weight" - assert pour["exit_triggers"][0]["value"] == pytest.approx(250.0) # cumulative - - -# ============================================================================ -# Recipe Endpoint Tests -# ============================================================================ - - -class TestRecipeEndpoints: - """Tests for GET /api/recipes and GET /api/recipes/{slug}.""" - - def test_list_recipes_returns_200(self, client): - """GET /api/recipes returns HTTP 200.""" - response = client.get("/api/recipes") - assert response.status_code == 200 - - def test_list_recipes_returns_list(self, client): - """GET /api/recipes body is a JSON list.""" - body = client.get("/api/recipes").json() - assert isinstance(body, list) - assert len(body) >= 4 - - def test_list_recipes_each_has_required_fields(self, client): - """Each item in GET /api/recipes has slug, metadata.name, ingredients, protocol.""" - for recipe in client.get("/api/recipes").json(): - assert "slug" in recipe - assert "metadata" in recipe - assert "name" in recipe["metadata"] - assert "ingredients" in recipe - assert "protocol" in recipe - - def test_get_recipe_by_slug_returns_correct_data(self, client): - """GET /api/recipes/4-6-method returns the stronger 4:6 recipe with 9 steps.""" - response = client.get("/api/recipes/4-6-method") - assert response.status_code == 200 - data = response.json() - assert data["slug"] == "4-6-method" - assert data["metadata"]["name"] == "4:6 Method (Stronger)" - assert data["ingredients"]["water_g"] == 300.0 - assert len(data["protocol"]) == 9 - - def test_get_recipe_unknown_slug_returns_404(self, client): - """GET /api/recipes/ returns HTTP 404.""" - response = client.get("/api/recipes/no-such-recipe-xyz") - assert response.status_code == 404 - - def test_get_all_bundled_recipes_individually(self, client): - """Each recipe that appears in the list can also be fetched by slug.""" - slugs = [r["slug"] for r in client.get("/api/recipes").json()] - for slug in slugs: - resp = client.get(f"/api/recipes/{slug}") - assert resp.status_code == 200, f"Slug '{slug}' returned {resp.status_code}" - - def test_recipe_slug_field_matches_url_slug(self, client): - """The slug field in each recipe matches the URL slug used to fetch it.""" - for recipe in client.get("/api/recipes").json(): - fetched = client.get(f"/api/recipes/{recipe['slug']}").json() - assert fetched["slug"] == recipe["slug"] - - -# ============================================================================ -# Prepare Recipe Endpoint Tests -# ============================================================================ - - -class TestPrepareRecipeEndpoint: - """Tests for POST /api/pour-over/prepare-recipe.""" - - @patch("api.routes.pour_over.temp_profile_service") - @patch("api.routes.pour_over.get_mqtt_subscriber") - def test_prepare_recipe_success(self, mock_mqtt_sub, mock_temp_svc, client): - """POST /api/pour-over/prepare-recipe with valid slug returns 200.""" - mock_mqtt_sub.return_value.get_snapshot.return_value = {} - - async def _fake_load_ephemeral( - profile_json, params, previous_profile_name=None - ): - return { - "profile_id": "test-uuid-1234", - "profile_name": "MeticAI Recipe: 4:6 Method", - } - - mock_temp_svc.load_ephemeral = _fake_load_ephemeral - - response = client.post( - "/api/pour-over/prepare-recipe", - json={"recipe_slug": "4-6-method"}, - ) - assert response.status_code == 200 - data = response.json() - assert "profile_id" in data - assert "profile_name" in data - - def test_prepare_recipe_unknown_slug_returns_404(self, client): - """POST /api/pour-over/prepare-recipe with unknown slug returns 404.""" - response = client.post( - "/api/pour-over/prepare-recipe", - json={"recipe_slug": "nonexistent-slug-xyz-abc"}, - ) - assert response.status_code == 404 - - def test_prepare_recipe_missing_recipe_slug_field_returns_422(self, client): - """POST /api/pour-over/prepare-recipe without recipe_slug returns 422.""" - response = client.post("/api/pour-over/prepare-recipe", json={}) - assert response.status_code == 422 - - def test_prepare_recipe_empty_slug_returns_422(self, client): - """POST /api/pour-over/prepare-recipe with empty string slug returns 422.""" - response = client.post( - "/api/pour-over/prepare-recipe", - json={"recipe_slug": ""}, - ) - assert response.status_code == 422 - - -# ============================================================================ -# Shot Annotation Endpoint Tests -# ============================================================================ - - -class TestShotAnnotationEndpoints: - """Tests for GET/PATCH /api/shots/{date}/{filename}/annotation.""" - - @pytest.fixture(autouse=True) - def isolate_annotations(self, tmp_path, monkeypatch): - """Redirect annotations storage to a temp dir and clear the cache.""" - import services.shot_annotations_service as svc - - annotations_file = tmp_path / "shot_annotations.json" - monkeypatch.setattr(svc, "ANNOTATIONS_FILE", annotations_file) - svc.invalidate_cache() - yield - svc.invalidate_cache() - - def test_get_annotation_missing_returns_null(self, client): - """GET annotation for a shot with no saved annotation returns null.""" - response = client.get("/api/shots/2024-01-15/shot_001.json/annotation") - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["annotation"] is None - - def test_create_annotation(self, client): - """PATCH creates a new annotation and returns it.""" - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Great shot, nice crema."}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["annotation"] == "Great shot, nice crema." - assert data["updated_at"] is not None - - def test_update_annotation(self, client): - """PATCH updates an existing annotation.""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "First note."}, - ) - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Updated note."}, - ) - assert response.status_code == 200 - data = response.json() - assert data["annotation"] == "Updated note." - - def test_get_annotation_after_create(self, client): - """GET returns the annotation after it has been created.""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Tasty."}, - ) - response = client.get("/api/shots/2024-01-15/shot_001.json/annotation") - assert response.status_code == 200 - assert response.json()["annotation"] == "Tasty." - - def test_clear_annotation_via_empty_string(self, client): - """PATCH with empty string clears the annotation (returns null).""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Remove me."}, - ) - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": ""}, - ) - assert response.status_code == 200 - assert response.json()["annotation"] is None - # GET should also return null after clearing - get_resp = client.get("/api/shots/2024-01-15/shot_001.json/annotation") - assert get_resp.json()["annotation"] is None - - def test_clear_annotation_via_whitespace_only(self, client): - """PATCH with whitespace-only string clears the annotation.""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Remove me."}, - ) - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": " "}, - ) - assert response.status_code == 200 - assert response.json()["annotation"] is None - - def test_patch_missing_annotation_field_defaults_to_clear(self, client): - """PATCH body with no annotation key defaults to clearing.""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Something."}, - ) - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={}, - ) - assert response.status_code == 200 - assert response.json()["annotation"] is None - - def test_patch_invalid_json_body_returns_error(self, client): - """PATCH with invalid JSON body returns a 4xx error.""" - response = client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - content=b"not json at all", - headers={"Content-Type": "application/json"}, - ) - assert response.status_code in (400, 422, 500) - - def test_annotations_are_isolated_per_shot(self, client): - """Annotations for different shots do not bleed into each other.""" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": "Shot one."}, - ) - client.patch( - "/api/shots/2024-01-15/shot_002.json/annotation", - json={"annotation": "Shot two."}, - ) - r1 = client.get("/api/shots/2024-01-15/shot_001.json/annotation") - r2 = client.get("/api/shots/2024-01-15/shot_002.json/annotation") - assert r1.json()["annotation"] == "Shot one." - assert r2.json()["annotation"] == "Shot two." - - def test_annotation_markdown_content_preserved(self, client): - """Annotation text with markdown is stored and returned verbatim.""" - md = "## Notes\n\n- Bold flavour\n- **Nice** crema" - client.patch( - "/api/shots/2024-01-15/shot_001.json/annotation", - json={"annotation": md}, - ) - response = client.get("/api/shots/2024-01-15/shot_001.json/annotation") - assert response.json()["annotation"] == md - - -class TestRecentShotsEndpoint: - """Tests for GET /api/shots/recent and GET /api/shots/recent/by-profile.""" - - @pytest.fixture(autouse=True) - def clear_recent_cache(self): - """Clear the recent-shots in-memory cache between tests.""" - from api.routes.shots import _recent_shots_cache - - _recent_shots_cache.clear() - yield - _recent_shots_cache.clear() - - @pytest.fixture(autouse=True) - def clear_shot_index(self): - """Reset the persistent shot profile index so tests use mocked data.""" - import services.cache_service as _cs - - _cs._shot_index = None - if _cs.SHOT_INDEX_FILE.exists(): - _cs.SHOT_INDEX_FILE.unlink() - yield - _cs._shot_index = None - if _cs.SHOT_INDEX_FILE.exists(): - _cs.SHOT_INDEX_FILE.unlink() - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_success(self, mock_dates, mock_files, mock_fetch, client): - """Test fetching recent shots across all profiles.""" - date1 = MagicMock() - date1.name = "2024-01-15" - mock_dates.return_value = [date1] - - file1 = MagicMock() - file1.name = "shot_001.json" - file2 = MagicMock() - file2.name = "shot_002.json" - mock_files.return_value = [file2, file1] - - mock_fetch.side_effect = [ - { - "profile_name": "Profile B", - "profile": {"name": "Profile B", "id": "pb"}, - "time": 1705320100, - "data": [{"time": 28000, "shot": {"weight": 38.0}}], - }, - { - "profile_name": "Profile A", - "profile": {"name": "Profile A", "id": "pa"}, - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.5}}], - }, - ] - - response = client.get("/api/shots/recent?limit=10&offset=0") - assert response.status_code == 200 - data = response.json() - assert "shots" in data - assert len(data["shots"]) == 2 - # Should be sorted by timestamp descending - assert data["shots"][0]["profile_name"] == "Profile B" - assert data["shots"][1]["profile_name"] == "Profile A" - assert data["shots"][0]["final_weight"] == 38.0 - assert "has_annotation" in data["shots"][0] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_empty(self, mock_dates, client): - """Test empty response when no dates exist.""" - mock_dates.return_value = [] - - response = client.get("/api/shots/recent") - assert response.status_code == 200 - data = response.json() - assert data["shots"] == [] - - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_machine_error(self, mock_dates, client): - """Test 502 when machine returns error.""" - result = MagicMock() - result.error = "Connection timeout" - mock_dates.return_value = result - - response = client.get("/api/shots/recent") - assert response.status_code == 502 - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_by_profile(self, mock_dates, mock_files, mock_fetch, client): - """Test fetching recent shots grouped by profile.""" - date1 = MagicMock() - date1.name = "2024-01-15" - mock_dates.return_value = [date1] - - file1 = MagicMock() - file1.name = "shot_001.json" - file2 = MagicMock() - file2.name = "shot_002.json" - mock_files.return_value = [file1, file2] - - mock_fetch.side_effect = [ - { - "profile_name": "Espresso Classic", - "profile": {"name": "Espresso Classic", "id": "ec"}, - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.5}}], - }, - { - "profile_name": "Espresso Classic", - "profile": {"name": "Espresso Classic", "id": "ec"}, - "time": 1705320100, - "data": [{"time": 28000, "shot": {"weight": 38.0}}], - }, - ] - - response = client.get("/api/shots/recent/by-profile") - assert response.status_code == 200 - data = response.json() - assert "profiles" in data - assert len(data["profiles"]) == 1 - assert data["profiles"][0]["profile_name"] == "Espresso Classic" - assert data["profiles"][0]["shot_count"] == 2 - assert len(data["profiles"][0]["shots"]) == 2 - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_dual_routes(self, mock_dates, mock_files, mock_fetch, client): - """Test that dual routes (with and without /api prefix) both work.""" - mock_dates.return_value = [] - - for path in ["/shots/recent", "/api/shots/recent"]: - response = client.get(path) - assert response.status_code == 200 - - for path in ["/shots/recent/by-profile", "/api/shots/recent/by-profile"]: - response = client.get(path) - assert response.status_code == 200 - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_shot_files", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_history_dates", new_callable=AsyncMock) - def test_recent_shots_pagination(self, mock_dates, mock_files, mock_fetch, client): - """Test pagination with offset and limit.""" - date1 = MagicMock() - date1.name = "2024-01-15" - mock_dates.return_value = [date1] - - files = [] - for i in range(5): - f = MagicMock() - f.name = f"shot_{i:03d}.json" - files.append(f) - mock_files.return_value = files - - mock_fetch.side_effect = [ - { - "profile_name": f"Profile {i}", - "profile": {"name": f"Profile {i}", "id": f"p{i}"}, - "time": 1705320000 + i * 100, - "data": [{"time": 25000, "shot": {"weight": 36.0 + i}}], - } - for i in range(5) - ] - - response = client.get("/api/shots/recent?limit=2&offset=0") - assert response.status_code == 200 - data = response.json() - assert len(data["shots"]) == 2 - - -class TestEditProfileEndpoint: - """Tests for the PUT /api/profile/{name}/edit endpoint.""" - - def _make_mock_profile( - self, - name="TestProfile", - profile_id="abc-123", - temperature=93.0, - final_weight=36.0, - author="Metic", - ): - """Helper to build a mock profile object.""" - profile = Mock() - profile.id = profile_id - profile.name = name - profile.author = author - profile.author_id = None - profile.temperature = temperature - profile.final_weight = final_weight - profile.stages = [] - var = SimpleNamespace(key="flow_main", name="Main Flow", value=2.5, type="flow") - profile.variables = [var] - profile.display = None - profile.isDefault = False - profile.source = None - profile.beverage_type = None - profile.tank_temperature = None - profile.previous_authors = None - profile.error = None - return profile - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_edit_profile_success(self, mock_list, mock_get, mock_save, client): - """Successful profile edit updates temperature and returns success.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - response = client.put( - "/api/profile/TestProfile/edit", json={"temperature": 90.0} - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["profile"]["temperature"] == 90.0 - mock_save.assert_called_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_edit_profile_temperature_below_70_accepted(self, client): - """Temperature below 70 is accepted (warning only, not an error).""" - # The endpoint no longer rejects temperatures below 70 — - # it only blocks temperatures above 100. - # Without a real machine, this will fail at the list_profiles step (500), - # but the key assertion is that we do NOT get a 400 validation error. - response = client.put( - "/api/profile/TestProfile/edit", json={"temperature": 50.0} - ) - assert response.status_code != 400 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_edit_profile_temperature_too_high(self, client): - """Temperature above 100 returns 400.""" - response = client.put( - "/api/profile/TestProfile/edit", json={"temperature": 110.0} - ) - assert response.status_code == 400 - assert "100" in response.json()["detail"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_edit_profile_weight_zero(self, client): - """Final weight of 0 returns 400.""" - response = client.put("/api/profile/TestProfile/edit", json={"final_weight": 0}) - assert response.status_code == 400 - assert "greater than 0" in response.json()["detail"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_edit_profile_empty_name(self, client): - """Empty name returns 400.""" - response = client.put("/api/profile/TestProfile/edit", json={"name": ""}) - assert response.status_code == 400 - assert "non-empty" in response.json()["detail"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_edit_profile_no_fields(self, client): - """No fields to update returns 400.""" - response = client.put("/api/profile/TestProfile/edit", json={}) - assert response.status_code == 400 - assert "At least one" in response.json()["detail"] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_edit_profile_not_found(self, mock_list, client): - """Profile not on machine returns 404.""" - mock_list.return_value = [] - - response = client.put( - "/api/profile/MissingProfile/edit", json={"temperature": 90.0} - ) - assert response.status_code == 404 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_edit_profile_rename_cascades_to_history( - self, mock_list, mock_get, mock_save, mock_load_hist, mock_save_hist, client - ): - """Renaming a profile also updates matching history entries.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - mock_load_hist.return_value = [ - {"id": "h1", "profile_name": "TestProfile", "reply": "..."}, - {"id": "h2", "profile_name": "OtherProfile", "reply": "..."}, - ] - - response = client.put( - "/api/profile/TestProfile/edit", json={"name": "RenamedProfile"} - ) - - assert response.status_code == 200 - assert response.json()["profile"]["name"] == "RenamedProfile" - - # History should have been saved with the renamed entry - mock_save_hist.assert_called_once() - saved = mock_save_hist.call_args[0][0] - assert saved[0]["profile_name"] == "RenamedProfile" - assert saved[1]["profile_name"] == "OtherProfile" # unchanged - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_edit_profile_variables(self, mock_list, mock_get, mock_save, client): - """Updating variable values persists correctly.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - response = client.put( - "/api/profile/TestProfile/edit", - json={"variables": [{"key": "flow_main", "value": 3.0}]}, - ) - - assert response.status_code == 200 - saved_profile = mock_save.call_args[0][0] - flow_var = next(v for v in saved_profile.variables if v.key == "flow_main") - assert flow_var.value == 3.0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_edit_profile_dual_route(self, mock_list, mock_get, mock_save, client): - """Both /profile/{name}/edit and /api/profile/{name}/edit work.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - response = client.put("/profile/TestProfile/edit", json={"temperature": 88.0}) - assert response.status_code == 200 - - -class TestProfileSync: - """Tests for profile sync endpoints.""" - - def _make_mock_profile(self, name="TestProfile", pid="prof-1"): - profile = Mock() - profile.id = pid - profile.name = name - profile.author = "Test Author" - profile.temperature = 93.0 - profile.final_weight = 36.0 - profile.error = None - profile.stages = [] - profile.variables = [] - profile.display = None - profile.isDefault = False - profile.source = None - profile.beverage_type = None - profile.tank_temperature = None - return profile - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_returns_new_profiles(self, mock_list, mock_get, mock_history, client): - """Profiles on machine but not in history are listed as 'new'.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_history.return_value = [] - - response = client.post("/api/profiles/sync") - assert response.status_code == 200 - data = response.json() - assert len(data["new"]) == 1 - assert data["new"][0]["profile_name"] == "TestProfile" - assert len(data["updated"]) == 0 - assert len(data["orphaned"]) == 0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_detects_updated_profiles( - self, mock_list, mock_get, mock_history, client - ): - """Profiles with a different content hash are listed as 'updated'.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "content_hash": "stale_hash_value", - "reply": "test", - } - ] - - response = client.post("/api/profiles/sync") - assert response.status_code == 200 - data = response.json() - assert len(data["new"]) == 0 - assert len(data["updated"]) == 1 - assert data["updated"][0]["profile_name"] == "TestProfile" - assert data["updated"][0]["stored_hash"] == "stale_hash_value" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_detects_orphaned_entries( - self, mock_list, mock_get, mock_history, client - ): - """History entries with no matching machine profile are 'orphaned'.""" - mock_list.return_value = [] - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "DeletedProfile", - "reply": "desc", - "profile_json": {"name": "DeletedProfile"}, - } - ] - - response = client.post("/api/profiles/sync") - assert response.status_code == 200 - data = response.json() - assert len(data["new"]) == 0 - assert len(data["updated"]) == 0 - assert len(data["orphaned"]) == 1 - assert data["orphaned"][0]["profile_name"] == "DeletedProfile" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_in_sync_returns_empty( - self, mock_list, mock_get, mock_history, client - ): - """When hash matches, profile is neither new nor updated.""" - from services.history_service import compute_content_hash - - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - from utils.file_utils import deep_convert_to_dict - - expected_hash = compute_content_hash(deep_convert_to_dict(profile)) - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "content_hash": expected_hash, - "reply": "test", - } - ] - - response = client.post("/api/profiles/sync") - assert response.status_code == 200 - data = response.json() - assert len(data["new"]) == 0 - assert len(data["updated"]) == 0 - assert len(data["orphaned"]) == 0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_status_counts(self, mock_list, mock_get, mock_history, client): - """GET /api/profiles/sync/status returns correct counts.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_history.return_value = [ - { - "id": "orphan-1", - "profile_name": "GoneProfile", - "reply": "x", - } - ] - - response = client.get("/api/profiles/sync/status") - assert response.status_code == 200 - data = response.json() - assert data["new_count"] == 1 - assert data["orphaned_count"] == 1 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_status_dual_route(self, mock_list, mock_get, mock_history, client): - """Both /profiles/sync/status and /api/profiles/sync/status work.""" - mock_list.return_value = [] - mock_get.return_value = None - mock_history.return_value = [] - - for path in ["/profiles/sync/status", "/api/profiles/sync/status"]: - response = client.get(path) - assert response.status_code == 200 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_accept_sync_update(self, mock_fetch, mock_history, mock_update, client): - """POST /api/profiles/sync/accept/{id} updates history entry.""" - machine_json = { - "id": "prof-1", - "name": "TestProfile", - "author": "Metic", - "stages": [], - "variables": [], - } - mock_fetch.return_value = machine_json - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "content_hash": "old_hash", - "reply": "old desc", - } - ] - mock_update.return_value = {"id": "entry-1", "profile_name": "TestProfile"} - - response = client.post("/api/profiles/sync/accept/prof-1") - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["profile_name"] == "TestProfile" - mock_update.assert_called_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_accept_sync_update_not_found(self, mock_fetch, mock_history, client): - """Accept returns 404 when no matching history entry exists.""" - machine_json = { - "id": "prof-1", - "name": "Unknown", - "author": "Metic", - "stages": [], - } - mock_fetch.return_value = machine_json - mock_history.return_value = [] - - response = client.post("/api/profiles/sync/accept/prof-1") - assert response.status_code == 404 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_dual_route(self, mock_list, mock_get, mock_history, client): - """Both /profiles/sync and /api/profiles/sync work.""" - mock_list.return_value = [] - mock_get.return_value = None - mock_history.return_value = [] - - for path in ["/profiles/sync", "/api/profiles/sync"]: - response = client.post(path) - assert response.status_code == 200 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_backfills_missing_hash( - self, mock_list, mock_get, mock_history, mock_update, client - ): - """Entries without content_hash get backfilled, not flagged as updated.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_update.return_value = {"id": "entry-1"} - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "reply": "test", - # No content_hash — should trigger backfill - } - ] - - response = client.post("/api/profiles/sync") - assert response.status_code == 200 - data = response.json() - assert len(data["updated"]) == 0, "Backfill should NOT flag as updated" - assert len(data["new"]) == 0 - mock_update.assert_called_once() - call_kwargs = mock_update.call_args - assert call_kwargs[0][0] == "entry-1" - assert "content_hash" in call_kwargs[1] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_status_detects_updated( - self, mock_list, mock_get, mock_history, mock_update, client - ): - """sync/status returns accurate updated_count when hashes differ.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_update.return_value = None - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "content_hash": "stale_hash_value", - "reply": "test", - } - ] - - response = client.get("/api/profiles/sync/status") - assert response.status_code == 200 - data = response.json() - assert data["updated_count"] == 1 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_sync_status_backfills_missing_hash( - self, mock_list, mock_get, mock_history, mock_update, client - ): - """sync/status backfills missing hashes without counting as updated.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_update.return_value = {"id": "entry-1"} - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "reply": "test", - # No content_hash - } - ] - - response = client.get("/api/profiles/sync/status") - assert response.status_code == 200 - data = response.json() - assert data["updated_count"] == 0, "Backfill should not count as updated" - mock_update.assert_called_once() - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history") - def test_save_to_history_stores_content_hash(self, mock_load, mock_save): - """save_to_history() computes and stores content_hash from profile_json.""" - from services.history_service import save_to_history - - mock_load.return_value = [] - - reply = '**Profile Created:** Test\n```json\n{"name": "Test", "temperature": 93}\n```' - entry = save_to_history( - coffee_analysis="test beans", user_prefs="normal", reply=reply - ) - - assert "content_hash" in entry - assert len(entry["content_hash"]) == 64 # SHA-256 hex digest - - -class TestHistoryNotesEndpoints: - """Tests for the history notes GET/PATCH endpoints.""" - - @pytest.fixture - def sample_entry_with_notes(self): - """Create a sample history entry that has notes.""" - return { - "id": "note-entry-1", - "profile_name": "Test Profile", - "notes": "These are my tasting notes.", - "notes_updated_at": "2026-03-01T12:00:00+00:00", - } - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.get_entry_by_id") - def test_get_notes_success(self, mock_get_entry, client, sample_entry_with_notes): - """GET notes for a valid entry returns notes and timestamp.""" - mock_get_entry.return_value = sample_entry_with_notes - - response = client.get("/api/history/note-entry-1/notes") - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["notes"] == "These are my tasting notes." - assert data["notes_updated_at"] == "2026-03-01T12:00:00+00:00" - mock_get_entry.assert_called_once_with("note-entry-1") - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.get_entry_by_id") - def test_get_notes_entry_not_found(self, mock_get_entry, client): - """GET notes for a missing entry returns 404.""" - mock_get_entry.return_value = None - - response = client.get("/api/history/nonexistent-id/notes") - - assert response.status_code == 404 - assert "not found" in response.json()["detail"].lower() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.update_entry_notes") - def test_patch_notes_success(self, mock_update, client): - """PATCH notes with valid text returns updated notes.""" - mock_update.return_value = { - "id": "note-entry-1", - "notes": "Updated tasting notes.", - "notes_updated_at": "2026-03-02T08:00:00+00:00", - } - - response = client.patch( - "/api/history/note-entry-1/notes", - json={"notes": "Updated tasting notes."}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["notes"] == "Updated tasting notes." - assert data["notes_updated_at"] == "2026-03-02T08:00:00+00:00" - mock_update.assert_called_once_with("note-entry-1", "Updated tasting notes.") - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.update_entry_notes") - def test_patch_notes_empty_clears(self, mock_update, client): - """PATCH notes with empty string clears notes.""" - mock_update.return_value = { - "id": "note-entry-1", - "notes": "", - "notes_updated_at": "2026-03-02T09:00:00+00:00", - } - - response = client.patch( - "/api/history/note-entry-1/notes", - json={"notes": ""}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["notes"] == "" - mock_update.assert_called_once_with("note-entry-1", "") - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.history_service.update_entry_notes") - def test_patch_notes_entry_not_found(self, mock_update, client): - """PATCH notes for a missing entry returns 404.""" - mock_update.return_value = None - - response = client.patch( - "/api/history/nonexistent-id/notes", - json={"notes": "text"}, - ) - - assert response.status_code == 404 - assert "not found" in response.json()["detail"].lower() - - -class TestMachineDetectEndpoint: - """Tests for POST /api/machine/detect auto-discovery.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.machine_discovery_service.verify_machine", new_callable=AsyncMock) - @patch( - "services.machine_discovery_service.discover_machine", new_callable=AsyncMock - ) - def test_detect_found_and_verified(self, mock_discover, mock_verify, client): - """Machine found and verified returns full details with verified=True.""" - from services.machine_discovery_service import DiscoveryResult - - mock_discover.return_value = DiscoveryResult( - found=True, - ip="192.168.1.42", - hostname="meticulous.local", - method="mdns", - ) - mock_verify.return_value = True - - response = client.post("/api/machine/detect") - - assert response.status_code == 200 - data = response.json() - assert data["found"] is True - assert data["ip"] == "192.168.1.42" - assert data["hostname"] == "meticulous.local" - assert data["method"] == "mdns" - assert data["verified"] is True - mock_verify.assert_called_once_with("192.168.1.42") - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.machine_discovery_service.verify_machine", new_callable=AsyncMock) - @patch( - "services.machine_discovery_service.discover_machine", new_callable=AsyncMock - ) - def test_detect_found_not_verified(self, mock_discover, mock_verify, client): - """Machine found but not responding returns verified=False.""" - from services.machine_discovery_service import DiscoveryResult - - mock_discover.return_value = DiscoveryResult( - found=True, - ip="10.0.0.5", - hostname="meticulous.local", - method="hostname", - ) - mock_verify.return_value = False - - response = client.post("/api/machine/detect") - - assert response.status_code == 200 - data = response.json() - assert data["found"] is True - assert data["ip"] == "10.0.0.5" - assert data["verified"] is False - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch( - "services.machine_discovery_service.discover_machine", new_callable=AsyncMock - ) - def test_detect_not_found(self, mock_discover, client): - """No machine found returns guidance text.""" - from services.machine_discovery_service import DiscoveryResult - - mock_discover.return_value = DiscoveryResult( - found=False, - guidance="Could not automatically detect your Meticulous machine.", - ) - - response = client.post("/api/machine/detect") - - assert response.status_code == 200 - data = response.json() - assert data["found"] is False - assert "guidance" in data - assert len(data["guidance"]) > 0 - assert "ip" not in data - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch( - "services.machine_discovery_service.discover_machine", new_callable=AsyncMock - ) - def test_detect_discovery_raises_exception(self, mock_discover, client): - """Discovery raising an exception propagates as a server error.""" - mock_discover.side_effect = Exception("Network timeout") - - with pytest.raises(Exception, match="Network timeout"): - client.post("/api/machine/detect") - - -# ============================================================================ -# Recommendation Pipeline Tests (#258) -# ============================================================================ - - -class TestRecommendationParsing: - """Tests for _parse_recommendations_json and _classify_recommendation_patchable.""" - - def test_parse_valid_recommendations_json(self): - """Valid RECOMMENDATIONS_JSON block is parsed correctly.""" - from api.routes.shots import _parse_recommendations_json - - text = """## 1. Shot Performance -**What Happened:** -- Test - -RECOMMENDATIONS_JSON: -[ - { - "variable": "pressure", - "current_value": 6.0, - "recommended_value": 7.0, - "stage": "extraction", - "confidence": "high", - "reason": "Under-extraction detected" - }, - { - "variable": "temperature", - "current_value": 92, - "recommended_value": 94, - "stage": "global", - "confidence": "medium", - "reason": "Higher temp for dark roast" - } -] -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert len(recs) == 2 - assert recs[0]["variable"] == "pressure" - assert recs[0]["recommended_value"] == 7.0 - assert recs[1]["confidence"] == "medium" - - def test_parse_empty_recommendations(self): - """Empty array block is parsed as empty list.""" - from api.routes.shots import _parse_recommendations_json - - text = """Some analysis text -RECOMMENDATIONS_JSON: -[] -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert recs == [] - - def test_parse_missing_block(self): - """Missing RECOMMENDATIONS_JSON block returns empty list.""" - from api.routes.shots import _parse_recommendations_json - - text = "## 1. Shot Performance\nJust regular analysis text" - recs = _parse_recommendations_json(text) - assert recs == [] - - def test_parse_malformed_json(self): - """Malformed JSON in block returns empty list.""" - from api.routes.shots import _parse_recommendations_json - - text = """RECOMMENDATIONS_JSON: -[{broken json -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert recs == [] - - def test_parse_bare_array_without_delimiters(self): - """Bare recommendations array (no delimiters) is recovered. - - Reproduces the weak on-device model bug where the JSON array leaks - into prose without RECOMMENDATIONS_JSON markers. - """ - from api.routes.shots import _parse_recommendations_json - - text = """## 5. Profile Design Observations -**Potential Improvements:** -- Increase pre-infusion duration. - -[ - { - "variable": "pressure_PreBrew", - "current_value": 1.8, - "recommended_value": 2.5, - "stage": "PreBrew", - "confidence": "high", - "reason": "Increase pressure during pre-infusion." - } -] -""" - recs = _parse_recommendations_json(text) - assert len(recs) == 1 - assert recs[0]["variable"] == "pressure_PreBrew" - assert recs[0]["recommended_value"] == 2.5 - - def test_parse_tolerates_trailing_comma(self): - """Trailing commas emitted by weak models are tolerated.""" - from api.routes.shots import _parse_recommendations_json - - text = """RECOMMENDATIONS_JSON: -[{"variable":"flow","current_value":2.5,"recommended_value":3.0,"stage":"main","confidence":"high","reason":"r"},] -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert len(recs) == 1 - assert recs[0]["variable"] == "flow" - - def test_parse_ignores_prose_mentioning_variables(self): - """Prose mentioning 'variable' without an array is not misparsed.""" - from api.routes.shots import _parse_recommendations_json - - text = "## 1. Shot Performance\n**Notes:**\n- The flow variable was stable." - assert _parse_recommendations_json(text) == [] - - def test_parse_drops_nonfinite_values(self): - """Hallucinated recs with NaN values (weak on-device models) are dropped.""" - from api.routes.shots import _parse_recommendations_json - - text = """RECOMMENDATIONS_JSON: -[{"variable":"flow_0","current_value":"NaN","recommended_value":"NaN","stage":"main","confidence":"low","reason":"r"}, -{"variable":"flow","current_value":2.5,"recommended_value":3.0,"stage":"main","confidence":"high","reason":"r"}] -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert len(recs) == 1 - assert recs[0]["variable"] == "flow" - - def test_parse_drops_blank_variable(self): - """Recs with an empty variable name are not actionable and are dropped.""" - from api.routes.shots import _parse_recommendations_json - - text = """RECOMMENDATIONS_JSON: -[{"variable":"","current_value":1,"recommended_value":2,"stage":"main","confidence":"low","reason":"r"}] -END_RECOMMENDATIONS_JSON -""" - assert _parse_recommendations_json(text) == [] - - def test_parse_keeps_advisory_zero_values(self): - """Advisory recs with finite 0 values are kept (not confused with NaN).""" - from api.routes.shots import _parse_recommendations_json - - text = """RECOMMENDATIONS_JSON: -[{"variable":"info_note","current_value":0,"recommended_value":0,"stage":"global","confidence":"low","reason":"General advice","is_patchable":false}] -END_RECOMMENDATIONS_JSON -""" - recs = _parse_recommendations_json(text) - assert len(recs) == 1 - assert recs[0]["variable"] == "info_note" - - def test_classify_adjustable_variable(self): - """Adjustable variable (no info_ prefix) is patchable.""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "flow_main", "stage": "extraction"} - variables = [ - {"key": "flow_main", "name": "Main Flow", "type": "flow", "value": 2.5} - ] - assert _classify_recommendation_patchable(rec, variables) is True - - def test_classify_info_variable(self): - """Info variable (info_ prefix) is not patchable.""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "info_dose", "stage": "extraction"} - variables = [ - {"key": "info_dose", "name": "☕ Dose", "type": "weight", "value": 18} - ] - assert _classify_recommendation_patchable(rec, variables) is False - - def test_classify_adjustable_false_variable(self): - """Variable with adjustable=false is not patchable.""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "grind_info", "stage": "extraction"} - variables = [ - { - "key": "grind_info", - "name": "Grind", - "type": "power", - "value": 100, - "adjustable": False, - } - ] - assert _classify_recommendation_patchable(rec, variables) is False - - def test_classify_global_temperature(self): - """Global temperature setting is always patchable.""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "temperature", "stage": "global"} - assert _classify_recommendation_patchable(rec, []) is True - - def test_classify_global_final_weight(self): - """Global final_weight setting is always patchable.""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "final_weight", "stage": "global"} - assert _classify_recommendation_patchable(rec, []) is True - - def test_classify_unknown_variable(self): - """Unknown variable not in profile is patchable (LLM may use descriptive names).""" - from api.routes.shots import _classify_recommendation_patchable - - rec = {"variable": "unknown_var", "stage": "extraction"} - variables = [ - {"key": "flow_main", "name": "Main Flow", "type": "flow", "value": 2.5} - ] - assert _classify_recommendation_patchable(rec, variables) is True - - -class TestApplyRecommendationsEndpoint: - """Tests for POST /api/profile/{name}/apply-recommendations.""" - - def _make_mock_profile( - self, - name="TestProfile", - profile_id="abc-123", - temperature=93.0, - final_weight=36.0, - ): - profile = Mock() - profile.id = profile_id - profile.name = name - profile.temperature = temperature - profile.final_weight = final_weight - profile.stages = [] - var = SimpleNamespace(key="flow_main", name="Main Flow", value=2.5, type="flow") - info_var = SimpleNamespace( - key="info_dose", name="☕ Dose", value=18.0, type="weight" - ) - profile.variables = [var, info_var] - profile.error = None - profile.author = "Metic" - profile.author_id = None - profile.display = None - profile.isDefault = False - profile.source = None - profile.beverage_type = None - profile.tank_temperature = None - profile.previous_authors = None - return profile - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_valid_recommendations(self, mock_list, mock_get, mock_save, client): - """Applying valid adjustable recommendations succeeds.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - recs = json.dumps( - [ - { - "variable": "flow_main", - "recommended_value": 3.0, - "stage": "extraction", - }, - ] - ) - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert len(data["applied"]) == 1 - assert data["applied"][0]["variable"] == "flow_main" - mock_save.assert_called_once() - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_info_only_skipped(self, mock_list, mock_get, mock_save, client): - """Info-only variables are skipped when applying recommendations.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - recs = json.dumps( - [ - { - "variable": "info_dose", - "recommended_value": 20.0, - "stage": "extraction", - }, - ] - ) - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "no_changes" - assert len(data["skipped"]) == 1 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_resolves_invented_positional_variable( - self, mock_list, mock_get, mock_save, client - ): - """An invented id like 'pressure_2' resolves to the real key by type + value.""" - profile = self._make_mock_profile() - profile.variables = [ - SimpleNamespace( - key="pressure_Max Pressure", - name="Max Pressure", - value=6.0, - type="pressure", - ), - SimpleNamespace( - key="pressure_PreBrew pressure", - name="PreBrew pressure", - value=1.8, - type="pressure", - ), - ] - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - recs = json.dumps( - [ - { - "variable": "pressure_2", - "current_value": 6, - "recommended_value": 5, - "stage": "Pressure Ramp Up", - }, - ] - ) - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert len(data["applied"]) == 1 - assert data["applied"][0]["variable"] == "pressure_Max Pressure" - assert data["applied"][0]["value"] == 5 - assert data["applied"][0]["matched_from"] == "pressure_2" - # The unrelated pressure variable must remain unchanged. - assert profile.variables[0].value == 5 - assert profile.variables[1].value == 1.8 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_unresolvable_invented_variable_reports_no_changes( - self, mock_list, mock_get, mock_save, client - ): - """An invented id with no matching variable type is skipped, not silently applied.""" - profile = self._make_mock_profile() # only a 'flow' variable - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - recs = json.dumps( - [ - { - "variable": "pressure_2", - "current_value": 6, - "recommended_value": 5, - "stage": "Ghost Stage", - }, - ] - ) - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "no_changes" - assert data["skipped"][0]["variable"] == "pressure_2" - - - @patch("api.routes.profiles.async_save_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_global_temperature(self, mock_list, mock_get, mock_save, client): - """Global temperature recommendation is applied correctly.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - mock_get.return_value = profile - mock_save.return_value = None - - recs = json.dumps( - [ - { - "variable": "temperature", - "recommended_value": 95.0, - "stage": "global", - }, - ] - ) - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 200 - data = response.json() - assert data["status"] == "success" - assert data["applied"][0]["variable"] == "temperature" - assert profile.temperature == 95.0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - def test_apply_invalid_json(self, client): - """Invalid JSON in recommendations returns 400.""" - response = client.post( - "/api/profile/TestProfile/apply-recommendations", - data={"recommendations": "not json"}, - ) - assert response.status_code == 400 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_apply_profile_not_found(self, mock_list, client): - """Applying to non-existent profile returns 404.""" - mock_list.return_value = [] - recs = json.dumps( - [{"variable": "flow_main", "recommended_value": 3.0, "stage": "extraction"}] - ) - response = client.post( - "/api/profile/NonExistent/apply-recommendations", - data={"recommendations": recs}, - ) - assert response.status_code == 404 - - -class TestRunProfileWithOverrides: - """Tests for the run-profile-with-overrides endpoint and apply_variable_overrides.""" - - @pytest.fixture - def client(self): - return TestClient(app) - - # ---- apply_variable_overrides unit tests ---- - - def test_apply_variable_overrides_basic(self): - """Test basic variable override application.""" - from services.temp_profile_service import apply_variable_overrides - - profile = { - "id": "p1", - "variables": [ - { - "key": "pressure_main", - "name": "Pressure", - "type": "pressure", - "value": 9.0, - }, - {"key": "flow_main", "name": "Flow", "type": "flow", "value": 4.0}, - ], - } - result = apply_variable_overrides(profile, {"pressure_main": 7.5}) - # Original unchanged - assert profile["variables"][0]["value"] == 9.0 - # Result modified - assert result["variables"][0]["value"] == 7.5 - assert result["variables"][1]["value"] == 4.0 - - def test_apply_variable_overrides_skips_info_keys(self): - """Info_ prefixed variables should be silently skipped.""" - from services.temp_profile_service import apply_variable_overrides - - profile = { - "variables": [ - { - "key": "info_beans", - "name": "☕ Beans", - "type": "pressure", - "value": 0, - }, - { - "key": "pressure_main", - "name": "Pressure", - "type": "pressure", - "value": 9.0, - }, - ], - } - result = apply_variable_overrides( - profile, {"info_beans": 99, "pressure_main": 8.0} - ) - assert result["variables"][0]["value"] == 0 # unchanged - assert result["variables"][1]["value"] == 8.0 # applied - - def test_apply_variable_overrides_empty(self): - """Empty overrides should return an identical deep copy.""" - from services.temp_profile_service import apply_variable_overrides - - profile = { - "variables": [{"key": "x", "name": "X", "type": "pressure", "value": 1}] - } - result = apply_variable_overrides(profile, {}) - assert result == profile - assert result is not profile - - def test_apply_variable_overrides_no_variables(self): - """Profile without variables key should return a deep copy.""" - from services.temp_profile_service import apply_variable_overrides - - profile = {"id": "p1", "name": "Simple"} - result = apply_variable_overrides(profile, {"x": 1}) - assert result == profile - assert result is not profile - - # ---- endpoint tests ---- - - @patch("services.temp_profile_service.load_ephemeral", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_endpoint_run_with_overrides_none_mode( - self, mock_get_api, mock_get_profile, mock_execute, mock_load_ephemeral, client - ): - """Test run-profile-with-overrides with save_mode=none.""" - mock_get_api.return_value = MagicMock() - mock_get_profile.return_value = { - "id": "p1", - "name": "Test Profile", - "variables": [ - {"key": "pressure_main", "name": "P", "type": "pressure", "value": 9.0}, - ], - } - mock_load_ephemeral.return_value = { - "profile_id": "p1", - "profile_name": "Test Profile", - } - mock_result = MagicMock(spec=["status", "action"]) - mock_result.status = "ok" - mock_execute.return_value = mock_result - - response = client.post( - "/api/machine/run-profile-with-overrides/p1", - data={"overrides_json": '{"pressure_main": 7.5}', "save_mode": "none"}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["save_mode"] == "none" - assert data["profile_name"] == "Test Profile" - mock_get_profile.assert_called_once() - mock_load_ephemeral.assert_called_once() - - @patch("api.routes.scheduling.async_save_profile", new_callable=AsyncMock) - @patch("services.temp_profile_service.load_ephemeral", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_endpoint_save_original_mode( - self, - mock_get_api, - mock_get_profile, - mock_execute, - mock_load_ephemeral, - mock_save_profile, - client, - ): - """Test save_mode=save_original persists overrides back.""" - mock_get_api.return_value = MagicMock() - mock_get_profile.return_value = { - "id": "p1", - "name": "Test Profile", - "variables": [ - {"key": "flow_main", "name": "F", "type": "flow", "value": 4.0}, - ], - } - mock_load_ephemeral.return_value = { - "profile_id": "p1", - "profile_name": "Test Profile", - } - mock_result = MagicMock(spec=["status", "action"]) - mock_result.status = "ok" - mock_execute.return_value = mock_result - mock_save_profile.return_value = MagicMock() - - response = client.post( - "/api/machine/run-profile-with-overrides/p1", - data={"overrides_json": '{"flow_main": 3.0}', "save_mode": "save_original"}, - ) - - assert response.status_code == 200 - data = response.json() - assert data["save_mode"] == "save_original" - mock_save_profile.assert_called_once() - - @patch("api.routes.scheduling.async_create_profile", new_callable=AsyncMock) - @patch("services.temp_profile_service.load_ephemeral", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_execute_action", new_callable=AsyncMock) - @patch("api.routes.scheduling.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_endpoint_save_new_mode( - self, - mock_get_api, - mock_get_profile, - mock_execute, - mock_load_ephemeral, - mock_create_profile, - client, - ): - """Test save_mode=save_new creates a new profile.""" - mock_get_api.return_value = MagicMock() - mock_get_profile.return_value = { - "id": "p1", - "name": "Original", - "variables": [ - {"key": "weight", "name": "W", "type": "weight", "value": 36.0}, - ], - } - mock_load_ephemeral.return_value = { - "profile_id": "p1", - "profile_name": "Original", - } - mock_result = MagicMock(spec=["status", "action"]) - mock_result.status = "ok" - mock_execute.return_value = mock_result - mock_create_profile.return_value = MagicMock(id="new-1") - - response = client.post( - "/api/machine/run-profile-with-overrides/p1", - data={ - "overrides_json": '{"weight": 40.0}', - "save_mode": "save_new", - "new_name": "My Custom Profile", - }, - ) - - assert response.status_code == 200 - data = response.json() - assert data["save_mode"] == "save_new" - mock_create_profile.assert_called_once() - - @patch("api.routes.scheduling.get_meticulous_api") - def test_endpoint_no_connection(self, mock_get_api, client): - """Test that 503 is returned when machine is not connected.""" - mock_get_api.return_value = None - - response = client.post( - "/api/machine/run-profile-with-overrides/p1", - data={"overrides_json": '{"pressure_main": 7.5}', "save_mode": "none"}, - ) - - assert response.status_code == 503 - - @patch("api.routes.scheduling.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.scheduling.get_meticulous_api") - def test_endpoint_profile_not_found(self, mock_get_api, mock_get_profile, client): - """Test 404 when profile fetch returns error.""" - mock_get_api.return_value = MagicMock() - result = MagicMock() - result.error = "Not found" - mock_get_profile.return_value = result - - response = client.post( - "/api/machine/run-profile-with-overrides/nonexistent", - data={"overrides_json": "{}", "save_mode": "none"}, - ) - - assert response.status_code == 404 - - -class TestDialInGuide: - """Tests for the Dial-In Guide endpoints.""" - - def _clear(self): - from services import dialin_service - - dialin_service._sessions.clear() - - def test_create_session(self): - self._clear() - client = TestClient(app) - resp = client.post( - "/api/dialin/sessions", - json={"coffee": {"roast_level": "medium"}, "profile_name": "Test Profile"}, - ) - assert resp.status_code == 201 - data = resp.json() - assert "id" in data - assert data["coffee"]["roast_level"] == "medium" - assert data["profile_name"] == "Test Profile" - assert data["status"] == "active" - - def test_list_sessions(self): - self._clear() - client = TestClient(app) - client.post("/api/dialin/sessions", json={"coffee": {"roast_level": "light"}}) - resp = client.get("/api/dialin/sessions") - assert resp.status_code == 200 - assert "sessions" in resp.json() - assert len(resp.json()["sessions"]) >= 1 - - def test_get_session(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "dark"}} - ) - session_id = create_resp.json()["id"] - resp = client.get(f"/api/dialin/sessions/{session_id}") - assert resp.status_code == 200 - assert resp.json()["id"] == session_id - - def test_get_session_not_found(self): - self._clear() - client = TestClient(app) - resp = client.get("/api/dialin/sessions/nonexistent") - assert resp.status_code == 404 - - def test_add_iteration(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - resp = client.post( - f"/api/dialin/sessions/{session_id}/iterations", - json={"taste": {"x": 0.3, "y": -0.2, "descriptors": ["Sour", "Watery"]}}, - ) - assert resp.status_code == 201 - assert resp.json()["iteration_number"] == 1 - assert resp.json()["taste"]["x"] == 0.3 - - def test_add_multiple_iterations(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - client.post( - f"/api/dialin/sessions/{session_id}/iterations", - json={"taste": {"x": -0.5, "y": 0.1, "descriptors": ["Sour"]}}, - ) - resp = client.post( - f"/api/dialin/sessions/{session_id}/iterations", - json={"taste": {"x": -0.2, "y": 0.3, "descriptors": ["Sweet"]}}, - ) - assert resp.json()["iteration_number"] == 2 - - def test_update_recommendations(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - client.post( - f"/api/dialin/sessions/{session_id}/iterations", - json={"taste": {"x": 0.5, "y": 0.0, "descriptors": []}}, - ) - resp = client.put( - f"/api/dialin/sessions/{session_id}/iterations/1/recommendations", - json={"recommendations": ["Grind 2 steps finer", "Reduce temp by 1°C"]}, - ) - assert resp.status_code == 200 - assert len(resp.json()["recommendations"]) == 2 - - def test_complete_session(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - resp = client.post(f"/api/dialin/sessions/{session_id}/complete") - assert resp.status_code == 200 - assert resp.json()["status"] == "completed" - - def test_delete_session(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - resp = client.delete(f"/api/dialin/sessions/{session_id}") - assert resp.status_code == 200 - assert resp.json()["deleted"] is True - resp = client.get(f"/api/dialin/sessions/{session_id}") - assert resp.status_code == 404 - - def test_delete_session_not_found(self): - self._clear() - client = TestClient(app) - resp = client.delete("/api/dialin/sessions/nonexistent") - assert resp.status_code == 404 - - def test_dual_registration(self): - """Verify both /dialin/... and /api/dialin/... paths work.""" - self._clear() - client = TestClient(app) - resp1 = client.post( - "/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - assert resp1.status_code == 201 - resp2 = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "light"}} - ) - assert resp2.status_code == 201 - - def test_create_session_invalid_roast(self): - self._clear() - client = TestClient(app) - resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "invalid"}} - ) - assert resp.status_code == 422 - - def test_add_iteration_to_nonexistent_session(self): - self._clear() - client = TestClient(app) - resp = client.post( - "/api/dialin/sessions/nonexistent/iterations", - json={"taste": {"x": 0, "y": 0, "descriptors": []}}, - ) - assert resp.status_code == 404 - - def test_list_sessions_filter_by_status(self): - self._clear() - client = TestClient(app) - create_resp = client.post( - "/api/dialin/sessions", json={"coffee": {"roast_level": "medium"}} - ) - session_id = create_resp.json()["id"] - client.post(f"/api/dialin/sessions/{session_id}/complete") - resp = client.get("/api/dialin/sessions?status=completed") - assert resp.status_code == 200 - for s in resp.json()["sessions"]: - assert s["status"] == "completed" - - -class TestDialInPromptBuilder: - """Tests for the dial-in recommendation prompt builder.""" - - def test_basic_prompt(self): - from prompt_builder import build_dialin_recommendation_prompt - - prompt = build_dialin_recommendation_prompt(roast_level="medium") - assert "medium" in prompt - assert "Dial-In" in prompt - - def test_prompt_with_iterations(self): - from prompt_builder import build_dialin_recommendation_prompt - - iterations = [ - { - "iteration_number": 1, - "taste": {"x": -0.5, "y": 0.2, "descriptors": ["Sour"]}, - "recommendations": [], - }, - { - "iteration_number": 2, - "taste": {"x": -0.1, "y": 0.1, "descriptors": ["Sweet"]}, - "recommendations": ["Grind finer"], - }, - ] - prompt = build_dialin_recommendation_prompt( - roast_level="light", - origin="Ethiopia", - process="washed", - profile_name="Blooming", - iterations=iterations, - ) - assert "Ethiopia" in prompt - assert "washed" in prompt - assert "Blooming" in prompt - assert "Iteration 1" in prompt - assert "Iteration 2" in prompt - assert "Sour" in prompt - assert "Grind finer" in prompt - - def test_prompt_empty_iterations(self): - from prompt_builder import build_dialin_recommendation_prompt - - prompt = build_dialin_recommendation_prompt(roast_level="dark", iterations=[]) - assert "dark" in prompt - assert "Iteration" not in prompt - - -class TestImportFromUrl: - """Tests for the /api/import-from-url endpoint.""" - - VALID_PROFILE = { - "name": "URL Espresso", - "temperature": 93.0, - "stages": [{"name": "extraction"}], - } - - @staticmethod - def _mock_httpx_stream(response_bytes=b"{}", raise_for_status_error=None): - """Build a mock httpx.AsyncClient that streams response_bytes.""" - - class FakeStream: - def __init__(self): - self.status_code = 200 - - def raise_for_status(self): - if raise_for_status_error: - raise raise_for_status_error - - async def aiter_bytes(self, chunk_size=8192): - yield response_bytes - - async def __aenter__(self): - return self - - async def __aexit__(self, *args): - return False - - class FakeClient: - def __init__(self, **kwargs): - pass - - def stream(self, method, url): - return FakeStream() - - async def __aenter__(self): - return self - - async def __aexit__(self, *args): - return False - - return FakeClient - - def test_missing_url(self, client): - """Returns 400 when URL is missing or empty.""" - resp = client.post("/api/import-from-url", json={"url": ""}) - assert resp.status_code == 400 - assert "No URL" in resp.json()["detail"] - - def test_invalid_scheme(self, client): - """Returns 400 for non-http(s) schemes.""" - resp = client.post( - "/api/import-from-url", json={"url": "ftp://example.com/profile.json"} - ) - assert resp.status_code == 400 - assert ( - "http" in resp.json()["detail"].lower() - or "scheme" in resp.json()["detail"].lower() - ) - - @patch("api.routes.profiles._validate_url_for_ssrf") - def test_ssrf_blocked(self, mock_validate, client): - """Returns 400 when SSRF validation blocks the URL.""" - mock_validate.side_effect = ValueError( - "URL resolves to private/reserved IP: 127.0.0.1" - ) - resp = client.post( - "/api/import-from-url", json={"url": "http://localhost:8080/profile.json"} - ) - assert resp.status_code == 400 - assert "Blocked URL" in resp.json()["detail"] - - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("httpx.AsyncClient") - def test_remote_non_200(self, mock_client_class, mock_ssrf, client): - """Returns 502 when the remote server returns an error.""" - mock_ssrf.return_value = None - mock_client_class.side_effect = [ - TestImportFromUrl._mock_httpx_stream( - raise_for_status_error=httpx.HTTPStatusError( - "Not Found", - request=MagicMock(), - response=MagicMock(status_code=404), - ) - ) - ] - # Replace with direct class substitution - fake_cls = TestImportFromUrl._mock_httpx_stream( - raise_for_status_error=httpx.HTTPStatusError( - "Not Found", request=MagicMock(), response=MagicMock(status_code=404) - ) - ) - mock_client_class.side_effect = None - mock_client_class.return_value = fake_cls() - resp = client.post( - "/api/import-from-url", json={"url": "https://example.com/missing.json"} - ) - assert resp.status_code == 502 - assert "404" in resp.json()["detail"] - - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("httpx.AsyncClient") - def test_non_json_body(self, mock_client_class, mock_ssrf, client): - """Returns 400 when URL returns non-JSON content.""" - mock_ssrf.return_value = None - fake_cls = TestImportFromUrl._mock_httpx_stream( - response_bytes=b"Not JSON" - ) - mock_client_class.return_value = fake_cls() - resp = client.post( - "/api/import-from-url", json={"url": "https://example.com/page.html"} - ) - assert resp.status_code == 400 - assert "valid JSON" in resp.json()["detail"] - - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("httpx.AsyncClient") - def test_missing_name_field(self, mock_client_class, mock_ssrf, client): - """Returns 400 when profile JSON is missing 'name'.""" - mock_ssrf.return_value = None - fake_cls = TestImportFromUrl._mock_httpx_stream( - response_bytes=json.dumps({"temperature": 93.0}).encode() - ) - mock_client_class.return_value = fake_cls() - resp = client.post( - "/api/import-from-url", json={"url": "https://example.com/profile.json"} - ) - assert resp.status_code == 400 - assert "name" in resp.json()["detail"].lower() - - @patch( - "api.routes.profiles.async_create_profile", - new_callable=AsyncMock, - return_value={"id": "m-1"}, - ) - @patch("api.routes.profiles.save_history") - @patch( - "api.routes.profiles.load_history", - return_value=[{"id": "old-1", "profile_name": "URL Espresso", "reply": "desc"}], - ) - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("httpx.AsyncClient") - def test_dedupe_exists( - self, mock_client_class, mock_ssrf, mock_load, mock_save, mock_create, client - ): - """Returns 'exists' when a profile with the same name is already in history.""" - mock_ssrf.return_value = None - fake_cls = TestImportFromUrl._mock_httpx_stream( - response_bytes=json.dumps(self.VALID_PROFILE).encode() - ) - mock_client_class.return_value = fake_cls() - resp = client.post( - "/api/import-from-url", json={"url": "https://example.com/profile.json"} - ) - assert resp.status_code == 200 - data = resp.json() - assert data["status"] == "exists" - assert data["profile_name"] == "URL Espresso" - mock_save.assert_not_called() - - @patch( - "api.routes.profiles.async_create_profile", - new_callable=AsyncMock, - return_value={"id": "m-2"}, - ) - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history", return_value=[]) - @patch( - "api.routes.profiles._generate_profile_description", - new_callable=AsyncMock, - return_value="Rich espresso", - ) - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("httpx.AsyncClient") - def test_success_path( - self, - mock_client_class, - mock_ssrf, - mock_gen_desc, - mock_load, - mock_save, - mock_create, - client, - ): - """Full success path: fetch, parse, save, upload.""" - mock_ssrf.return_value = None - fake_cls = TestImportFromUrl._mock_httpx_stream( - response_bytes=json.dumps(self.VALID_PROFILE).encode() - ) - mock_client_class.return_value = fake_cls() - resp = client.post( - "/api/import-from-url", json={"url": "https://example.com/profile.json"} - ) - assert resp.status_code == 200 - data = resp.json() - assert data["status"] == "success" - assert data["profile_name"] == "URL Espresso" - assert data["has_description"] is True - assert data["uploaded_to_machine"] is True - assert "entry_id" in data - mock_save.assert_called_once() - mock_create.assert_called_once() - - -# ─── Profile Export JSON Fix Tests ────────────────────────────────────────── - - -class TestSaveToHistoryOverride: - """Tests for the profile_json_override parameter in save_to_history().""" - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history", return_value=[]) - def test_override_used_when_provided(self, mock_load, mock_save): - """When profile_json_override is provided, it should be stored instead of LLM-parsed JSON.""" - override = {"name": "Override Profile", "id": "test-uuid", "stages": []} - reply = '**Profile Created:** Test\n```json\n{"name": "LLM Version"}\n```' - - entry = save_to_history( - coffee_analysis="test", - user_prefs="test prefs", - reply=reply, - profile_json_override=override, - ) - - assert entry["profile_json"] == override - assert entry["profile_json"]["name"] == "Override Profile" - # Verify it was saved - saved_history = mock_save.call_args[0][0] - assert saved_history[0]["profile_json"] == override - - @patch("services.history_service.save_history") - @patch("services.history_service.load_history", return_value=[]) - def test_fallback_to_llm_parsing_without_override(self, mock_load, mock_save): - """Without override, should fall back to LLM text extraction.""" - reply = '**Profile Created:** Test\n```json\n{"name": "LLM Version"}\n```' - - entry = save_to_history( - coffee_analysis="test", - user_prefs="test prefs", - reply=reply, - ) - - assert entry["profile_json"] is not None - assert entry["profile_json"]["name"] == "LLM Version" - - -class TestAsyncCreateProfileReturnsNormalized: - """Tests that async_create_profile() returns _normalised_json in its result.""" - - @patch.dict(os.environ, {"METICULOUS_IP": "192.168.1.100"}) - @patch("services.meticulous_service._get_http_client") - def test_create_profile_includes_normalised_json(self, mock_http_factory): - """The result dict from async_create_profile should include _normalised_json.""" - from services.meticulous_service import async_create_profile - - # Mock the httpx AsyncClient - mock_client = AsyncMock() - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = {"id": "returned-id", "name": "Test"} - mock_client.post.return_value = mock_response - mock_http_factory.return_value = mock_client - - profile_json = { - "name": "Test Profile", - "stages": [ - { - "type": "flow", - "dynamics": {"points": [[0, 3]], "interpolation": "linear"}, - "exit_triggers": [], - } - ], - } - - result = asyncio.run(async_create_profile(profile_json)) - - # The result should contain _normalised_json with machine-ready fields - assert "_normalised_json" in result - normalised = result["_normalised_json"] - assert "id" in normalised - assert normalised.get("author") == "Metic" - assert "author_id" in normalised - assert isinstance(normalised.get("variables"), list) - - -class TestFetchMachineProfileDict: - """Tests for the fetch_machine_profile_dict helper.""" - - @patch.dict(os.environ, {"METICULOUS_IP": "192.168.1.100"}) - @patch("services.meticulous_service._get_http_client") - def test_returns_dict_from_machine(self, mock_http_factory): - """fetch_machine_profile_dict should return a proper dict from the machine API.""" - from services.meticulous_service import fetch_machine_profile_dict - - machine_json = { - "id": "abc-123", - "name": "Machine Profile", - "author": "Metic", - "stages": [], - } - mock_client = AsyncMock() - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = machine_json - mock_client.get.return_value = mock_response - mock_http_factory.return_value = mock_client - - result = asyncio.run(fetch_machine_profile_dict("abc-123")) - - assert result == machine_json - assert result["name"] == "Machine Profile" - - @patch.dict(os.environ, {"METICULOUS_IP": "192.168.1.100"}) - @patch("services.meticulous_service._get_http_client") - def test_raises_on_not_found(self, mock_http_factory): - """fetch_machine_profile_dict should raise on 404.""" - from services.meticulous_service import fetch_machine_profile_dict - import httpx - - mock_client = AsyncMock() - mock_response = Mock() - mock_response.status_code = 404 - mock_response.text = "Not found" - mock_response.raise_for_status.side_effect = httpx.HTTPStatusError( - "404 Not Found", request=Mock(), response=mock_response - ) - mock_client.get.return_value = mock_response - mock_http_factory.return_value = mock_client - - with pytest.raises(httpx.HTTPStatusError): - asyncio.run(fetch_machine_profile_dict("nonexistent")) - - -class TestProfileExportEndpoint: - """Tests for the fixed /api/machine/profile/{id}/json endpoint.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - def test_export_returns_raw_machine_json(self, mock_fetch, client): - """The export endpoint should return JSON fetched directly from the machine.""" - machine_json = { - "id": "prof-1", - "name": "Exported Profile", - "author": "Metic", - "author_id": "uuid-123", - "stages": [{"key": "stage-0-flow", "type": "flow"}], - "variables": [], - } - mock_fetch.return_value = machine_json - - response = client.get("/api/machine/profile/prof-1/json") - assert response.status_code == 200 - data = response.json() - assert data["profile"] == machine_json - assert data["status"] == "success" - mock_fetch.assert_called_once_with("prof-1") - - -class TestRepairEndpoint: - """Tests for the /api/profiles/repair endpoint.""" - - def _make_mock_profile(self, name="TestProfile", pid="prof-1"): - profile = Mock() - profile.id = pid - profile.name = name - profile.error = None - return profile - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles.fetch_machine_profile_dict", new_callable=AsyncMock) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_repair_fetches_from_machine( - self, mock_list, mock_history, mock_fetch, mock_update, client - ): - """Entries with machine matches should be repaired with canonical JSON.""" - profile = self._make_mock_profile() - mock_list.return_value = [profile] - - mock_history.return_value = [ - { - "id": "entry-1", - "profile_name": "TestProfile", - "profile_json": {"name": "TestProfile", "stages": []}, - } - ] - - canonical = { - "id": "prof-1", - "name": "TestProfile", - "author": "Metic", - "author_id": "uuid-1", - "stages": [], - "variables": [], - } - mock_fetch.return_value = canonical - - response = client.post("/api/profiles/repair") - assert response.status_code == 200 - data = response.json() - assert data["repaired_from_machine"] == 1 - assert data["normalized_locally"] == 0 - assert data["errors"] == 0 - - mock_fetch.assert_called_once_with("prof-1") - mock_update.assert_called_once() - call_kwargs = mock_update.call_args - assert call_kwargs[1]["profile_json"] == canonical - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.update_entry_sync_fields") - @patch("api.routes.profiles._normalize_profile_for_machine") - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_repair_normalizes_orphaned_entries( - self, mock_list, mock_history, mock_normalize, mock_update, client - ): - """Entries without a machine match should be re-normalized locally.""" - mock_list.return_value = [] # No machine profiles - - mock_history.return_value = [ - { - "id": "entry-orphan", - "profile_name": "DeletedProfile", - "profile_json": {"name": "DeletedProfile", "stages": []}, - } - ] - - normalized = { - "name": "DeletedProfile", - "id": "new-uuid", - "stages": [], - "variables": [], - } - mock_normalize.return_value = normalized - - response = client.post("/api/profiles/repair") - assert response.status_code == 200 - data = response.json() - assert data["repaired_from_machine"] == 0 - assert data["normalized_locally"] == 1 - assert data["errors"] == 0 - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("api.routes.profiles.load_history") - @patch("api.routes.profiles.async_list_profiles", new_callable=AsyncMock) - def test_repair_skips_entries_without_json(self, mock_list, mock_history, client): - """Entries with no profile_json should be skipped.""" - mock_list.return_value = [] - - mock_history.return_value = [ - { - "id": "entry-no-json", - "profile_name": "NoJson", - } - ] - - response = client.post("/api/profiles/repair") - assert response.status_code == 200 - data = response.json() - assert data["skipped_no_json"] == 1 - assert data["repaired_from_machine"] == 0 - assert data["normalized_locally"] == 0 - - -class TestAvailableModelsEndpoint: - """Tests for the /api/available-models endpoint.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_available_models_returns_list(self, mock_client, client): - """Test that /api/available-models returns expected format.""" - mock_model = Mock() - mock_model.name = "gemini-2.5-flash" - mock_model.display_name = "Gemini 2.5 Flash" - mock_model.description = "Fast model" - mock_model.supported_actions = ["generateContent"] - - mock_client.return_value.models.list.return_value = [mock_model] - - response = client.get("/api/available-models") - assert response.status_code == 200 - data = response.json() - assert "models" in data - assert "current" in data - assert isinstance(data["models"], list) - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_available_models_filters_non_generative(self, mock_client, client): - """Test that models without generateContent are filtered out.""" - gen_model = Mock() - gen_model.name = "gemini-2.5-flash" - gen_model.display_name = "Gemini 2.5 Flash" - gen_model.description = "Fast model" - gen_model.supported_actions = ["generateContent"] - - embed_model = Mock() - embed_model.name = "text-embedding-004" - embed_model.display_name = "Text Embedding" - embed_model.description = "Embedding model" - embed_model.supported_actions = ["embedContent"] - - mock_client.return_value.models.list.return_value = [gen_model, embed_model] - - response = client.get("/api/available-models") - data = response.json() - assert len(data["models"]) == 1 - assert data["models"][0]["id"] == "gemini-2.5-flash" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_available_models_filters_non_text_families(self, mock_client, client): - """Only Gemini text-chat models are returned; image/tts/computer-use/ - robotics/nano-banana/gemma/deep-research are excluded.""" - def _m(name, actions=("generateContent",)): - mk = Mock() - mk.name = name - mk.display_name = name - mk.description = "" - mk.supported_actions = list(actions) - return mk - - models = [ - _m("gemini-2.5-flash"), - _m("gemini-3.1-pro-preview"), - _m("gemini-2.5-flash-image"), - _m("gemini-2.5-flash-preview-tts"), - _m("gemini-2.5-computer-use-preview-10-2025"), - _m("gemini-robotics-er-1.5-preview"), - _m("nano-banana-pro-preview"), - _m("lyria-3-pro-preview"), - _m("gemma-4-31b-it"), - _m("deep-research-pro-preview-12-2025"), - ] - mock_client.return_value.models.list.return_value = models - - response = client.get("/api/available-models") - ids = {m["id"] for m in response.json()["models"]} - assert ids == {"gemini-2.5-flash", "gemini-3.1-pro-preview"} - - - """Test graceful handling when Gemini API fails.""" - mock_client.return_value.models.list.side_effect = Exception("API error") - - response = client.get("/api/available-models") - assert response.status_code == 200 - data = response.json() - assert data["models"] == [] - - @patch.dict(os.environ, {}, clear=False) - def test_available_models_no_api_key(self, client): - """Test response when no API key is configured.""" - with patch.dict(os.environ, {}, clear=False): - os.environ.pop("GEMINI_API_KEY", None) - # Reset cached client - import services.gemini_service - services.gemini_service._gemini_client = None - - response = client.get("/api/available-models") - assert response.status_code == 200 - data = response.json() - assert data["models"] == [] - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_available_models_includes_current(self, mock_client, client): - """Test that current model name is included in response.""" - mock_client.return_value.models.list.return_value = [] - - response = client.get("/api/available-models") - data = response.json() - assert data["current"] == "gemini-2.5-flash" - - -class TestModelValidation: - """Tests for model validation and fallback logic.""" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_validate_model_success(self, mock_client): - """Test validate_model returns True for available model.""" - mock_client.return_value.models.get.return_value = Mock() - - from services.gemini_service import validate_model - result = asyncio.run(validate_model("gemini-2.5-flash")) - assert result is True - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_validate_model_failure(self, mock_client): - """Test validate_model returns False for unavailable model.""" - mock_client.return_value.models.get.side_effect = Exception("Not found") - - from services.gemini_service import validate_model - result = asyncio.run(validate_model("gemini-old-model")) - assert result is False - - def test_validate_model_no_api_key(self): - """Test validate_model returns False when no API key.""" - import services.gemini_service - services.gemini_service._gemini_client = None - with patch.dict(os.environ, {}, clear=False): - os.environ.pop("GEMINI_API_KEY", None) - from services.gemini_service import validate_model - result = asyncio.run(validate_model("gemini-2.5-flash")) - assert result is False - - @patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key"}) - @patch("services.gemini_service.get_gemini_client") - def test_get_working_model_configured_works(self, mock_client): - """Test get_working_model returns configured model when valid.""" - mock_client.return_value.models.get.return_value = Mock() - - from services.gemini_service import get_working_model - result = asyncio.run(get_working_model()) - assert result == "gemini-2.5-flash" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "k"}) - @patch("services.gemini_service.get_available_models") - @patch("services.gemini_service.validate_model") - def test_working_model_uses_dynamic_when_configured_dead(self, mock_validate, mock_list): - """Test discovery path is used and result is cached when configured model fails.""" - from services.gemini_service import get_working_model, _validated_model_cache - _validated_model_cache.clear() - async def _validate(name): - return False - mock_validate.side_effect = _validate - async def _list(): - return [{"id": "gemini-2.5-pro"}, {"id": "gemini-2.5-flash"}] - mock_list.side_effect = _list - result = asyncio.run(get_working_model()) - assert result == "gemini-2.5-flash" - assert _validated_model_cache.get("model") == "gemini-2.5-flash" - - @patch.dict(os.environ, {"GEMINI_API_KEY": "k"}) - @patch("services.gemini_service.get_available_models") - @patch("services.gemini_service.validate_model") - def test_working_model_raises_when_nothing_available(self, mock_validate, mock_list): - """Test ModelUnavailableError is raised when discovery returns no models.""" - from services.gemini_service import get_working_model, ModelUnavailableError, _validated_model_cache - _validated_model_cache.clear() - async def _validate(name): - return False - mock_validate.side_effect = _validate - async def _list(): - return [] - mock_list.side_effect = _list - with pytest.raises(ModelUnavailableError): - asyncio.run(get_working_model()) - - -# ─── Machine Status Endpoint Tests ────────────────────────────────────────── - - -@patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key", "METICULOUS_IP": "http://meticulous.local"}) -class TestMachineStatusHealth: - """Tests for GET /api/machine/status/health.""" - - @pytest.fixture - def client(self): - return TestClient(app) - - @patch("api.routes.machine_status.httpx.AsyncClient") - def test_returns_watcher_data(self, mock_client_cls, client): - mock_response = Mock() - mock_response.status_code = 200 - mock_response.json.return_value = { - "services": [{"name": "meticulous", "status": "running"}], - "system": {"cpu_temperature": 55, "uptime": 3600}, - } - mock_response.raise_for_status = Mock() - - mock_client = AsyncMock() - mock_client.get = AsyncMock(return_value=mock_response) - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client_cls.return_value = mock_client - - response = client.get("/api/machine/status/health") - assert response.status_code == 200 - data = response.json() - assert "services" in data - assert data["services"][0]["name"] == "meticulous" - - @patch("api.routes.machine_status.httpx.AsyncClient") - def test_returns_error_when_unreachable(self, mock_client_cls, client): - mock_client = AsyncMock() - mock_client.get = AsyncMock(side_effect=httpx.ConnectError("Connection refused")) - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client_cls.return_value = mock_client - - response = client.get("/api/machine/status/health") - assert response.status_code == 200 - data = response.json() - assert data["error"] == "Watcher service unavailable" - assert data["services"] == [] - - -class TestWatcherHelpers: - """Unit tests for machine_status helper functions.""" - - def test_watcher_url_ipv4(self): - from api.routes.machine_status import _watcher_url - - assert _watcher_url("http://192.168.1.50:8080") == "http://192.168.1.50:3000" - assert _watcher_url("http://meticulous.local") == "http://meticulous.local:3000" - - def test_watcher_url_brackets_ipv6(self): - from api.routes.machine_status import _watcher_url - - assert _watcher_url("http://[fe80::1]:8080") == "http://[fe80::1]:3000" - assert _watcher_url("https://[2001:db8::1]") == "https://[2001:db8::1]:3000" - - def test_transform_parses_per_service_uptime(self): - from api.routes.machine_status import _transform_watcher_response - - out = _transform_watcher_response({ - "services": { - "meticulous": {"status": "running", "uptime": "1 hours 2 minutes"}, - "watcher": {"status": "running", "uptime": 90}, - "idle": {"status": "stopped"}, - } - }) - by_name = {s["name"]: s for s in out["services"]} - assert by_name["meticulous"]["uptime"] == 3720 - assert by_name["watcher"]["uptime"] == 90 - assert by_name["idle"]["uptime"] is None - - -@patch.dict(os.environ, {"GEMINI_API_KEY": "test_api_key", "METICULOUS_IP": "http://meticulous.local"}) -class TestMachineSystemInfo: - """Tests for GET /api/machine/system-info.""" - - @pytest.fixture - def client(self): - return TestClient(app) - - @patch("api.routes.machine_status.httpx.AsyncClient") - def test_returns_system_info(self, mock_client_cls, client): - def mock_get(url): - resp = Mock() - resp.status_code = 200 - if "firmware" in url: - resp.json.return_value = {"version": "1.2.3"} - elif "wifi/status" in url: - resp.json.return_value = {"ssid": "HomeWiFi"} - elif "hostname" in url: - resp.json.return_value = {"hostname": "meticulous"} - return resp - - mock_client = AsyncMock() - mock_client.get = AsyncMock(side_effect=mock_get) - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client_cls.return_value = mock_client - - response = client.get("/api/machine/system-info") - assert response.status_code == 200 - data = response.json() - assert data["firmware"]["version"] == "1.2.3" - assert data["network"]["ssid"] == "HomeWiFi" - assert data["hostname"]["hostname"] == "meticulous" - - @patch("api.routes.machine_status.httpx.AsyncClient") - def test_handles_partial_failure(self, mock_client_cls, client): - def mock_get(url): - if "firmware" in url: - raise httpx.ConnectError("Connection refused") - resp = Mock() - resp.status_code = 200 - resp.json.return_value = {"ssid": "HomeWiFi"} - return resp - - mock_client = AsyncMock() - mock_client.get = AsyncMock(side_effect=mock_get) - mock_client.__aenter__ = AsyncMock(return_value=mock_client) - mock_client.__aexit__ = AsyncMock(return_value=False) - mock_client_cls.return_value = mock_client - - response = client.get("/api/machine/system-info") - assert response.status_code == 200 - data = response.json() - assert data["firmware"] is None - - -class TestDecentConverter: - """Tests for the Decent Espresso profile converter.""" - - VALID_DECENT = { - "title": "Londinium", - "author": "John Doe", - "notes": "A classic lever profile", - "beverage_type": "espresso", - "steps": [ - { - "name": "preinfusion", - "temperature": 92.0, - "sensor": "coffee", - "pump": "flow", - "transition": "fast", - "flow": 4.0, - "seconds": 8.0, - "exit": { - "type": "pressure_over", - "condition": 4.0, - "or": {"type": "time_over", "condition": 30.0}, - }, - }, - { - "name": "extraction", - "temperature": 93.0, - "pump": "pressure", - "pressure": 9.0, - "seconds": 60.0, - "exit": {"type": "weight_over", "condition": 36.0}, - }, - ], - } - - def test_detect_decent_format_valid(self): - """Recognises valid Decent profiles.""" - from services.decent_converter import detect_decent_format - - assert detect_decent_format(self.VALID_DECENT) is True - - def test_detect_decent_format_meticulous(self): - """Rejects Meticulous-format profiles.""" - from services.decent_converter import detect_decent_format - - meticulous = {"name": "Test", "stages": [{"type": "flow"}]} - assert detect_decent_format(meticulous) is False - - def test_detect_decent_format_empty(self): - """Rejects empty or non-dict data.""" - from services.decent_converter import detect_decent_format - - assert detect_decent_format({}) is False - assert detect_decent_format(None) is False - assert detect_decent_format([]) is False - assert detect_decent_format("string") is False - - def test_detect_decent_format_no_steps(self): - """Rejects profiles without steps.""" - from services.decent_converter import detect_decent_format - - assert detect_decent_format({"title": "No Steps"}) is False - assert detect_decent_format({"steps": []}) is False - - def test_convert_basic(self): - """Converts a basic Decent profile to Meticulous format.""" - from services.decent_converter import convert_decent_to_meticulous - - result = convert_decent_to_meticulous(self.VALID_DECENT) - profile = result["profile"] - warnings = result["warnings"] - - assert profile["name"] == "Londinium" - assert profile["author"] == "John Doe" - assert len(profile["stages"]) == 2 - assert profile["temperature"] == 92.0 - assert profile["final_weight"] == 36.0 - assert len(warnings) == 0 - - # Check first stage (flow) - s0 = profile["stages"][0] - assert s0["type"] == "flow" - assert s0["name"] == "preinfusion" - assert s0["dynamics"]["type"] == "flow" - assert s0["dynamics"]["points"] == [[0.0, 4.0]] - # Should have pressure_over and time_over triggers from OR chain - assert len(s0["exit_triggers"]) == 2 - assert s0["exit_triggers"][0]["type"] == "pressure" - assert s0["exit_triggers"][0]["direction"] == "above" - assert s0["exit_triggers"][1]["type"] == "time" - - # Check second stage (pressure) - s1 = profile["stages"][1] - assert s1["type"] == "pressure" - assert s1["dynamics"]["type"] == "pressure" - assert s1["dynamics"]["points"] == [[0.0, 9.0]] - assert s1["exit_triggers"][0]["type"] == "weight" - assert s1["exit_triggers"][0]["value"] == 36.0 - - def test_convert_smooth_transition(self): - """Smooth transitions create ramped dynamics with two points.""" - from services.decent_converter import convert_decent_to_meticulous - - data = { - "title": "Ramp Test", - "steps": [ - { - "name": "ramp", - "pump": "pressure", - "pressure": 9.0, - "transition": "smooth", - "seconds": 10.0, - "sensor": "coffee", - } - ], - } - result = convert_decent_to_meticulous(data) - stage = result["profile"]["stages"][0] - assert len(stage["dynamics"]["points"]) == 2 - assert stage["dynamics"]["points"][0] == [0.0, 0.0] - assert stage["dynamics"]["points"][1] == [10.0, 9.0] - - def test_convert_unknown_pump(self): - """Unknown pump types produce a warning and default to pressure.""" - from services.decent_converter import convert_decent_to_meticulous - - data = { - "title": "Unknown Pump", - "steps": [{"name": "test", "pump": "steam", "sensor": "coffee"}], - } - result = convert_decent_to_meticulous(data) - assert len(result["warnings"]) == 1 - assert "steam" in result["warnings"][0] - assert result["profile"]["stages"][0]["type"] == "pressure" - - def test_convert_empty_steps(self): - """Empty steps list produces a warning.""" - from services.decent_converter import convert_decent_to_meticulous - - result = convert_decent_to_meticulous({"title": "Empty", "steps": []}) - assert "No stages" in result["warnings"][0] - - def test_convert_unknown_exit_type(self): - """Unknown exit types produce a warning.""" - from services.decent_converter import convert_decent_to_meticulous - - data = { - "title": "Bad Exit", - "steps": [ - { - "name": "test", - "pump": "flow", - "flow": 3.0, - "sensor": "coffee", - "exit": {"type": "magic_over", "condition": 5.0}, - } - ], - } - result = convert_decent_to_meticulous(data) - assert any("magic_over" in w for w in result["warnings"]) - - def test_convert_preserves_notes(self): - """Profile notes become display.description.""" - from services.decent_converter import convert_decent_to_meticulous - - result = convert_decent_to_meticulous(self.VALID_DECENT) - assert result["profile"]["display"]["description"] == "A classic lever profile" - - def test_convert_stage_structure(self): - """Converted stages have all required Meticulous fields.""" - from services.decent_converter import convert_decent_to_meticulous - - result = convert_decent_to_meticulous(self.VALID_DECENT) - for stage in result["profile"]["stages"]: - assert "key" in stage - assert "type" in stage - assert "name" in stage - assert "dynamics" in stage - assert "exit_triggers" in stage - assert "limits" in stage - assert isinstance(stage["limits"], list) - assert stage["dynamics"]["interpolation"] == "linear" - assert stage["dynamics"]["over"] == "time" - - def test_convert_exit_relative_and_comparison(self): - """Exit triggers get correct relative and comparison defaults.""" - from services.decent_converter import convert_decent_to_meticulous - - result = convert_decent_to_meticulous(self.VALID_DECENT) - # time trigger should have relative=True - time_triggers = [ - t - for s in result["profile"]["stages"] - for t in s["exit_triggers"] - if t["type"] == "time" - ] - assert all(t["relative"] is True for t in time_triggers) - # non-time triggers should have relative=False - non_time = [ - t - for s in result["profile"]["stages"] - for t in s["exit_triggers"] - if t["type"] != "time" - ] - assert all(t["relative"] is False for t in non_time) - # All should have comparison >= - all_triggers = [ - t for s in result["profile"]["stages"] for t in s["exit_triggers"] - ] - assert all(t["comparison"] == ">=" for t in all_triggers) - - -class TestConvertDecentEndpoint: - """Tests for the /api/convert-decent endpoint.""" - - VALID_DECENT = TestDecentConverter.VALID_DECENT - - def test_convert_decent_success(self, client): - """Returns converted profile for valid Decent input.""" - resp = client.post("/api/convert-decent", json=self.VALID_DECENT) - assert resp.status_code == 200 - data = resp.json() - assert "profile" in data - assert "warnings" in data - assert data["profile"]["name"] == "Londinium" - assert len(data["profile"]["stages"]) == 2 - - def test_convert_decent_not_decent_format(self, client): - """Returns 400 for non-Decent profiles.""" - meticulous = {"name": "Test", "stages": [{"type": "flow"}]} - resp = client.post("/api/convert-decent", json=meticulous) - assert resp.status_code == 400 - assert "Decent" in resp.json()["detail"] - - def test_convert_decent_dual_route(self, client): - """Both /convert-decent and /api/convert-decent work.""" - resp = client.post("/convert-decent", json=self.VALID_DECENT) - assert resp.status_code == 200 - - def test_convert_decent_empty_body(self, client): - """Returns 400 for empty body.""" - resp = client.post("/api/convert-decent", json={}) - assert resp.status_code == 400 - - -class TestImportFromUrlDecentAutoDetect: - """Tests for Decent auto-detection in /api/import-from-url.""" - - DECENT_PROFILE = { - "title": "Decent URL Import", - "author": "URL Author", - "steps": [ - { - "name": "pi", - "pump": "flow", - "flow": 3.5, - "sensor": "coffee", - "seconds": 10, - "exit": {"type": "pressure_over", "condition": 3.0}, - } - ], - } - - @staticmethod - def _mock_httpx_stream(response_bytes=b"{}", raise_for_status_error=None): - """Build a mock httpx.AsyncClient that streams response_bytes.""" - - class FakeStream: - def __init__(self): - self.status_code = 200 - - def raise_for_status(self): - if raise_for_status_error: - raise raise_for_status_error - - async def aiter_bytes(self, chunk_size=8192): - yield response_bytes - - async def __aenter__(self): - return self - - async def __aexit__(self, *args): - return False - - class FakeClient: - def __init__(self, **kwargs): - pass - - def stream(self, method, url): - return FakeStream() - - async def __aenter__(self): - return self - - async def __aexit__(self, *args): - return False - - return FakeClient - - @patch("api.routes.profiles._validate_url_for_ssrf") - @patch("api.routes.profiles.save_history") - @patch("api.routes.profiles.load_history", return_value=[]) - @patch("api.routes.profiles.async_create_profile", new_callable=AsyncMock) - @patch("api.routes.profiles._generate_profile_description") - def test_decent_auto_detected_from_url( - self, - mock_desc, - mock_create, - mock_load, - mock_save, - mock_ssrf, - client, - ): - """Decent profiles from URL are auto-detected and converted.""" - import json as _json - - mock_desc.return_value = "Converted Decent profile" - mock_create.return_value = {"id": "machine-123"} - - content = _json.dumps(self.DECENT_PROFILE).encode() - with patch("httpx.AsyncClient", self._mock_httpx_stream(content)): - resp = client.post( - "/api/import-from-url", - json={"url": "https://example.com/decent.json"}, - ) - assert resp.status_code == 200 - data = resp.json() - assert data["status"] == "success" - assert data["converted_from_decent"] is True - # The profile name should come from "title" field after conversion - assert data["profile_name"] == "Decent URL Import" - - -class TestRankModels: - """Tests for the dynamic model ranking heuristic.""" - - def _m(self, name): - return {"id": name, "display_name": name, "description": ""} - - def test_prefers_flash_over_pro(self): - from services.gemini_service import rank_models - models = [self._m("gemini-2.5-pro"), self._m("gemini-2.5-flash")] - assert rank_models(models) == "gemini-2.5-flash" - - def test_prefers_higher_version(self): - from services.gemini_service import rank_models - models = [self._m("gemini-2.0-flash"), self._m("gemini-2.5-flash")] - assert rank_models(models) == "gemini-2.5-flash" - - def test_flash_beats_flash_lite(self): - from services.gemini_service import rank_models - models = [self._m("gemini-2.5-flash-lite"), self._m("gemini-2.5-flash")] - assert rank_models(models) == "gemini-2.5-flash" - - def test_flash_lite_beats_pro(self): - from services.gemini_service import rank_models - models = [self._m("gemini-2.5-pro"), self._m("gemini-2.5-flash-lite")] - assert rank_models(models) == "gemini-2.5-flash-lite" - - def test_prefers_stable_over_preview(self): - from services.gemini_service import rank_models - models = [self._m("gemini-3.0-flash-preview-09-2025"), self._m("gemini-2.5-flash")] - assert rank_models(models) == "gemini-2.5-flash" - - def test_allows_preview_as_last_resort(self): - from services.gemini_service import rank_models - models = [self._m("gemini-3.0-flash-exp")] - assert rank_models(models) == "gemini-3.0-flash-exp" - - def test_excludes_non_text_families(self): - from services.gemini_service import rank_models - models = [self._m("imagen-4.0-generate-001"), self._m("text-embedding-004")] - assert rank_models(models) is None - - def test_excludes_special_gemini_and_non_gemini_families(self): - from services.gemini_service import rank_models - models = [ - self._m("gemini-2.5-computer-use-preview-10-2025"), - self._m("gemini-robotics-er-1.5-preview"), - self._m("gemini-3.1-flash-image"), - self._m("nano-banana-pro-preview"), - self._m("lyria-3-pro-preview"), - self._m("gemma-4-31b-it"), - self._m("gemini-2.5-flash"), - ] - assert rank_models(models) == "gemini-2.5-flash" - - def test_excludes_all_non_text_returns_none(self): - from services.gemini_service import rank_models - models = [ - self._m("gemini-2.5-computer-use-preview-10-2025"), - self._m("nano-banana-pro-preview"), - self._m("gemma-4-31b-it"), - ] - assert rank_models(models) is None - - def test_strips_models_prefix(self): - from services.gemini_service import rank_models - models = [self._m("models/gemini-2.5-flash")] - assert rank_models(models) == "gemini-2.5-flash" - - def test_empty_returns_none(self): - from services.gemini_service import rank_models - assert rank_models([]) is None - - -class TestReactiveRetry: - @patch.dict(os.environ, {"GEMINI_API_KEY": "k"}) - def test_generate_reresolves_and_retries_on_model_not_found(self): - from services.gemini_service import _GeminiModelWrapper, _validated_model_cache - _validated_model_cache["model"] = "gemini-2.5-flash" - - calls = {"n": 0} - class FakeResp: - text = "ok" - class FakeModels: - def generate_content(self, model, contents): - calls["n"] += 1 - if calls["n"] == 1: - raise Exception("404 NOT_FOUND: model gemini-2.5-flash is not found") - return FakeResp() - class FakeClient: - models = FakeModels() - - vm = _GeminiModelWrapper(FakeClient()) - with patch("services.gemini_service.get_working_model_force", return_value="gemini-2.5-pro"): - resp = vm.generate_content("hi") - assert resp.text == "ok" - assert calls["n"] == 2 - - -@pytest.mark.skipif( - os.environ.get("RUN_LIVE_GEMINI_TESTS") != "1", - reason="opt-in live integration test; set RUN_LIVE_GEMINI_TESTS=1 with a real GEMINI_API_KEY", -) -class TestLiveModelListing: - """Opt-in: hits the real Gemini API to prove discovery works end-to-end.""" - - def test_get_available_models_returns_real_models(self): - import asyncio - # Reset any cached client so the env key is used. - import services.gemini_service as gs - gs._gemini_client = None - models = asyncio.run(gs.get_available_models()) - assert isinstance(models, list) - assert len(models) > 0, "Expected at least one generateContent model" - assert all("id" in m for m in models) - - def test_rank_models_picks_a_real_model(self): - import asyncio - import services.gemini_service as gs - gs._gemini_client = None - best = gs.rank_models(asyncio.run(gs.get_available_models())) - assert best, "rank_models should select a model from the live list" - # The selected model must actually validate against the API. - assert asyncio.run(gs.validate_model(best)) is True - - -class TestAITags: - """AI-generated sensory tags during description generation (#400).""" - - def test_parse_ai_tags_extracts_valid_labels(self): - from services.analysis_service import parse_ai_tags - - text = "Some description.\n\nTags: Chocolate, Creamy, Sweet" - assert parse_ai_tags(text) == ["Chocolate", "Creamy", "Sweet"] - - def test_parse_ai_tags_validates_against_vocabulary(self): - from services.analysis_service import parse_ai_tags - - text = "Body text\nTags: Chocolate, Spaceship, Nutty" - assert parse_ai_tags(text) == ["Chocolate", "Nutty"] - - def test_parse_ai_tags_is_case_insensitive_and_dedupes(self): - from services.analysis_service import parse_ai_tags - - text = "Tags: chocolate, CHOCOLATE, creamy." - assert parse_ai_tags(text) == ["Chocolate", "Creamy"] - - def test_parse_ai_tags_empty_when_absent(self): - from services.analysis_service import parse_ai_tags - - assert parse_ai_tags("No tags line here") == [] - assert parse_ai_tags(None) == [] - assert parse_ai_tags("Tags:") == [] - - def test_parse_ai_tags_tolerates_literal_brackets(self): - from services.analysis_service import parse_ai_tags - - assert parse_ai_tags("Tags: [Chocolate, Sweet]") == ["Chocolate", "Sweet"] - assert parse_ai_tags("Tags: [Chocolate]") == ["Chocolate"] - - def test_parse_ai_tags_tolerates_markdown_decoration(self): - from services.analysis_service import parse_ai_tags - - assert parse_ai_tags("**Tags:** Chocolate, Sweet") == ["Chocolate", "Sweet"] - assert parse_ai_tags("**Tags: Chocolate, Sweet**") == ["Chocolate", "Sweet"] - assert parse_ai_tags("- Tags: Chocolate, Sweet") == ["Chocolate", "Sweet"] - assert parse_ai_tags("* **Tags**: Chocolate, Sweet") == ["Chocolate", "Sweet"] - assert parse_ai_tags("# Tags: Chocolate") == ["Chocolate"] - - def test_strip_tags_line_removes_markdown_decorated_line(self): - from services.analysis_service import strip_tags_line - - assert strip_tags_line("Great coffee.\n**Tags:** Sweet, Berry").endswith( - "Great coffee." - ) - assert "Tags" not in strip_tags_line("Great coffee.\n- Tags: Sweet") - - def test_resolve_description_placeholders_resolves_variables(self): - from services.analysis_service import resolve_description_placeholders - - variables = [ - {"key": "pressure_Max Pressure", "name": "Max Pressure", "value": 6}, - {"key": "time_PreBrew Duration", "name": "PreBrew Duration", "value": 30}, - ] - assert ( - resolve_description_placeholders("Peaks at $pressure_Max Pressure.", variables) - == "Peaks at 6 bar." - ) - assert ( - resolve_description_placeholders("Runs $time\\_PreBrew Duration$.", variables) - == "Runs 30 s." - ) - - def test_resolve_description_placeholders_strips_invented_tokens(self): - from services.analysis_service import resolve_description_placeholders - - assert ( - resolve_description_placeholders("Adjust $pressure_1$ upward.", []) - == "Adjust upward." - ) - assert ( - resolve_description_placeholders("See $pressure\\_1$ here.", []) - == "See here." - ) - - def test_resolve_description_placeholders_leaves_prose_untouched(self): - from services.analysis_service import resolve_description_placeholders - - text = "A balanced, chocolatey shot with 9 bar peak pressure." - assert resolve_description_placeholders(text, []) == text - assert resolve_description_placeholders("", []) == "" - assert resolve_description_placeholders(None, []) == "" - - def test_resolve_description_placeholders_tidies_whitespace_linearly(self): - import time - - from services.analysis_service import resolve_description_placeholders - - assert resolve_description_placeholders("word .", []) == "word." - assert resolve_description_placeholders("a\t\tb ,c", []) == "a b,c" - # A long whitespace run with no trailing punctuation must resolve quickly - # (guards against the previously polynomial regex on many tabs/spaces). - text = "x" + (" " * 20000) + "y" - start = time.perf_counter() - assert resolve_description_placeholders(text, []) == "x y" - assert time.perf_counter() - start < 0.5 - - def test_strip_tags_line_removes_trailing_line(self): - from services.analysis_service import strip_tags_line - - text = "Profile Created: X\n\nDescription:\nGreat coffee.\n\nTags: Sweet, Berry" - stripped = strip_tags_line(text) - assert "Tags:" not in stripped - assert stripped.endswith("Great coffee.") - - def test_description_result_carries_tags(self): - from services.analysis_service import DescriptionResult - - result = DescriptionResult("hello", ["Sweet"]) - assert result == "hello" - assert isinstance(result, str) - assert result.ai_tags == ["Sweet"] - assert DescriptionResult("x").ai_tags == [] - - def test_regenerate_persists_ai_tags(self): - from services.analysis_service import DescriptionResult - - history = [ - { - "id": "entry-1", - "profile_name": "Test Profile", - "profile_json": {"name": "Test Profile"}, - "reply": "old static description", - } - ] - - with patch( - "api.routes.profiles._generate_profile_description", - new_callable=AsyncMock, - ) as mock_gen, patch( - "api.routes.profiles.load_history", return_value=history - ), patch( - "api.routes.profiles.save_history" - ): - mock_gen.return_value = DescriptionResult( - "A fresh AI description.", ["Chocolate", "Creamy"] - ) - client = TestClient(app) - resp = client.post("/api/profile/entry-1/regenerate-description") - - assert resp.status_code == 200 - assert history[0]["ai_tags"] == ["Chocolate", "Creamy"] - assert history[0]["reply"] == "A fresh AI description." - - def test_regenerate_invalidates_profile_list_cache(self): - """Regenerating a description must bust the profile-list cache so the - catalogue reloads the freshly-generated ai_tags (beta feedback: tags - never appeared after generating an AI explanation).""" - from services.analysis_service import DescriptionResult - - history = [ - { - "id": "entry-1", - "profile_name": "Test Profile", - "profile_json": {"name": "Test Profile"}, - "reply": "old static description", - } - ] - - with patch( - "api.routes.profiles._generate_profile_description", - new_callable=AsyncMock, - ) as mock_gen, patch( - "api.routes.profiles.load_history", return_value=history - ), patch( - "api.routes.profiles.save_history" - ), patch( - "api.routes.profiles.invalidate_profile_list_cache" - ) as mock_invalidate: - mock_gen.return_value = DescriptionResult( - "A fresh AI description.", ["Chocolate", "Creamy"] - ) - client = TestClient(app) - resp = client.post("/api/profile/entry-1/regenerate-description") - - assert resp.status_code == 200 - mock_invalidate.assert_called_once() - - -class TestShotFactsClassify: - """#423 Targeted vs Failsafe trigger classification.""" - - def test_weight_is_always_targeted(self): - from services.shot_facts import classify_trigger - r = classify_trigger("pressure", "weight", total_triggers=2) - assert r["kind"] == "targeted" - assert "yield" in r["label"].lower() - - def test_time_only_trigger_is_planned_duration(self): - from services.shot_facts import classify_trigger - r = classify_trigger("flow", "time", total_triggers=1) - assert r["kind"] == "targeted" - assert "planned" in r["label"].lower() - - def test_time_with_other_triggers_is_targeted_timed_transition(self): - from services.shot_facts import classify_trigger - r = classify_trigger("flow", "time", total_triggers=2) - assert r["kind"] == "targeted" - assert "timed transition" in r["label"].lower() - - def test_flow_control_pressure_trigger_is_puck_resistance(self): - from services.shot_facts import classify_trigger - r = classify_trigger("flow", "pressure", total_triggers=2) - assert r["kind"] == "targeted" - assert "resistance" in r["label"].lower() - - def test_flow_control_flow_trigger_is_flow_target_reached(self): - from services.shot_facts import classify_trigger - r = classify_trigger("flow", "flow", total_triggers=2) - assert r["kind"] == "targeted" - assert "flow target" in r["label"].lower() - - def test_pressure_control_flow_only_trigger_is_planned_transition(self): - from services.shot_facts import classify_trigger - r = classify_trigger("pressure", "flow", total_triggers=1) - assert r["kind"] == "targeted" - - def test_pressure_control_flow_with_others_is_failsafe_channeling(self): - from services.shot_facts import classify_trigger - r = classify_trigger("pressure", "flow", total_triggers=2) - assert r["kind"] == "failsafe" - assert "channel" in r["label"].lower() or "chok" in r["label"].lower() - - def test_pressure_control_pressure_trigger_is_threshold(self): - from services.shot_facts import classify_trigger - r = classify_trigger("pressure", "pressure", total_triggers=1) - assert r["kind"] == "targeted" - - def test_unknown_combo_returns_unknown(self): - from services.shot_facts import classify_trigger - r = classify_trigger("power", "weird", total_triggers=1) - assert r["kind"] == "unknown" - - def test_power_pressure_trigger_is_puck_resistance(self): - from services.shot_facts import classify_trigger - r = classify_trigger("power", "pressure", total_triggers=1) - assert r["kind"] == "targeted" - assert "resistance" in r["label"].lower() - - def test_terminal_stage_no_trigger_hits_weight_is_targeted_yield(self): - from services.shot_facts import classify_trigger - r = classify_trigger( - "pressure", "", total_triggers=0, - is_terminal_stage=True, weight_on_target=True, - ) - assert r["kind"] == "targeted" - assert r["label"] == "Targeted (yield reached)" - - def test_terminal_stage_no_trigger_misses_weight_is_unknown(self): - from services.shot_facts import classify_trigger - r = classify_trigger( - "pressure", "", total_triggers=0, - is_terminal_stage=True, weight_on_target=False, - ) - assert r["kind"] == "unknown" - - def test_intermediate_stage_no_trigger_is_planned_transition(self): - from services.shot_facts import classify_trigger - r = classify_trigger("flow", "", total_triggers=0, is_terminal_stage=False) - assert r["kind"] == "targeted" - assert r["label"] == "Targeted (planned transition)" - - def test_triggers_defined_but_none_fired_is_unknown(self): - from services.shot_facts import classify_trigger - r = classify_trigger( - "pressure", "", total_triggers=2, - is_terminal_stage=True, weight_on_target=True, - ) - assert r["kind"] == "unknown" - - def test_build_shot_facts_terminal_stage_no_trigger_is_targeted_yield(self): - from services.shot_facts import build_shot_facts - ed = { - "duration": 10, "weight_gain": 30, "end_weight": 36, - "start_pressure": 6, "end_pressure": 6, "avg_pressure": 6, - "max_pressure": 6, "min_pressure": 6, - "start_flow": 2, "end_flow": 2, "avg_flow": 2, "max_flow": 2, - } - analysis = { - "weight_analysis": {"actual": 36, "target": 36}, - "stage_analyses": [ - { - "stage_name": "PreBrew", "stage_type": "flow", - "exit_triggers": [{"type": "time"}], - "exit_trigger_result": {"triggered": {"type": "time"}}, - "execution_data": ed, - }, - { - "stage_name": "Extraction", "stage_type": "flow", - "exit_triggers": [], - "exit_trigger_result": None, - "execution_data": ed, - }, - ], - } - facts = build_shot_facts(analysis) - assert facts["stages"][0]["trigger_class"]["kind"] == "targeted" - ext = facts["stages"][1]["trigger_class"] - assert ext["kind"] == "targeted" - assert ext["label"] == "Targeted (yield reached)" - - -class TestEffectiveControlMode: - """#423 effective-mode detection (declared type vs true control intent).""" - - def test_aggressive_flow_with_pressure_limit_is_pressure(self): - # Slayer "Extraction": flow target 10.8 ml/s capped by a 6 bar pressure limit. - from services.shot_facts import effective_control_mode - stage = { - "stage_type": "flow", - "profile_max_target": 10.8, - "limits": [{"type": "pressure", "value": 6.0}], - } - assert effective_control_mode(stage) == "pressure" - - def test_gentle_flow_with_pressure_limit_stays_flow(self): - # Slayer "PreBrew": flow target 1.2 ml/s + 1.8 bar limit — genuinely flow-led. - from services.shot_facts import effective_control_mode - stage = { - "stage_type": "flow", - "profile_max_target": 1.2, - "limits": [{"type": "pressure", "value": 1.8}], - } - assert effective_control_mode(stage) == "flow" - - def test_pressure_with_restricted_flow_limit_is_flow(self): - from services.shot_facts import effective_control_mode - stage = { - "stage_type": "pressure", - "profile_max_target": 9.0, - "limits": [{"type": "flow", "value": 2.5}], - } - assert effective_control_mode(stage) == "flow" - - def test_pressure_with_loose_flow_limit_stays_pressure(self): - # Damian "Fill": pressure 2 bar + 8 ml/s limit — the limit isn't restrictive. - from services.shot_facts import effective_control_mode - stage = { - "stage_type": "pressure", - "profile_max_target": 2.0, - "limits": [{"type": "flow", "value": 8.0}], - } - assert effective_control_mode(stage) == "pressure" - - def test_power_stage_is_power(self): - from services.shot_facts import effective_control_mode - assert effective_control_mode({"stage_type": "power"}) == "power" - - def test_build_shot_facts_exposes_effective_and_declared_mode(self): - from services.shot_facts import build_shot_facts - local = { - "stage_analyses": [ - { - "stage_name": "Extraction", - "stage_type": "flow", - "profile_max_target": 10.8, - "limits": [{"type": "pressure", "value": 6.0}], - "exit_triggers": [{"type": "pressure"}], - "exit_trigger_result": {"triggered": {"type": "pressure"}}, - "execution_data": {"weight_gain": 20.0, "avg_pressure": 6.0}, - } - ] - } - facts = build_shot_facts(local) - stage = facts["stages"][0] - assert stage["control_mode"] == "pressure" - assert stage["declared_mode"] == "flow" - assert stage["mode_overridden"] is True - # Effective pressure + pressure trigger ⇒ targeted threshold, not "puck resistance". - assert stage["trigger_class"]["kind"] == "targeted" - - -class TestPuckFailure: - """#423 puck-failure refinement: weight-terminated yield hit off-curve.""" - - def _pressure_governed_stage(self, max_pressure, weight_target=36.0): - # Slayer-style: declared flow, high flow target capped by a 6 bar pressure - # limit ⇒ effective pressure. Ends on a near-final weight trigger. - return { - "stage_name": "Extraction", - "stage_type": "flow", - "profile_max_target": 10.8, - "limits": [{"type": "pressure", "value": 6.0}], - "exit_triggers": [{"type": "weight"}], - "exit_trigger_result": { - "triggered": {"type": "weight", "target": weight_target} - }, - "execution_data": {"weight_gain": 30.0, "max_pressure": max_pressure}, - } - - def test_yield_hit_off_target_is_puck_failure(self): - from services.shot_facts import build_shot_facts - # Pressure never reached the 6 bar band (max 3.0 < 0.8×6 = 4.8) → puck failure. - facts = build_shot_facts( - { - "weight_analysis": {"target": 36.0}, - "stage_analyses": [self._pressure_governed_stage(max_pressure=3.0)], - } - ) - tc = facts["stages"][0]["trigger_class"] - assert tc["kind"] == "failsafe" - assert "puck failure" in tc["label"].lower() - - def test_yield_hit_on_target_is_normal_completion(self): - from services.shot_facts import build_shot_facts - # Pressure reached the band (6.2 ≥ 4.8) → normal targeted yield. - facts = build_shot_facts( - { - "weight_analysis": {"target": 36.0}, - "stage_analyses": [self._pressure_governed_stage(max_pressure=6.2)], - } - ) - tc = facts["stages"][0]["trigger_class"] - assert tc["kind"] == "targeted" - assert "puck failure" not in tc["label"].lower() - - def test_flow_governed_weight_completion_is_never_puck_failure(self): - from services.shot_facts import build_shot_facts - # Plain flow stage, no pressure limit ⇒ effective flow. Low pressure is - # expected for a volumetric pour and must NOT be flagged as puck failure. - facts = build_shot_facts( - { - "weight_analysis": {"target": 36.0}, - "stage_analyses": [ - { - "stage_name": "Pour", - "stage_type": "flow", - "profile_max_target": 2.0, - "limits": [], - "exit_triggers": [{"type": "weight"}], - "exit_trigger_result": { - "triggered": {"type": "weight", "target": 36.0} - }, - "execution_data": {"weight_gain": 30.0, "max_pressure": 2.0}, - } - ], - } - ) - tc = facts["stages"][0]["trigger_class"] - assert tc["kind"] == "targeted" - assert "puck failure" not in tc["label"].lower() - - def test_intermediate_weight_milestone_is_first_drip_check(self): - from services.shot_facts import build_shot_facts - facts = build_shot_facts( - { - "weight_analysis": {"target": 36.0}, - "stage_analyses": [self._pressure_governed_stage(max_pressure=3.0, weight_target=4.0)], - } - ) - tc = facts["stages"][0]["trigger_class"] - assert tc["kind"] == "targeted" - assert "first-drip" in tc["label"].lower() or "milestone" in tc["reason"].lower() - - def test_classify_trigger_weight_backward_compatible(self): - from services.shot_facts import classify_trigger - # No context supplied ⇒ legacy behaviour: always targeted yield. - r = classify_trigger("pressure", "weight", 1) - assert r["kind"] == "targeted" - assert "yield" in r["label"].lower() - - -class TestShotFacts: - def _stage(self, **kw): - base = { - "stage_name": "Infusion", - "stage_type": "flow", - "exit_triggers": [], - "execution_data": { - "duration": 10.0, "weight_gain": 2.0, "end_weight": 8.0, - "start_pressure": 1.0, "end_pressure": 6.0, "avg_pressure": 4.0, - "max_pressure": 6.5, "min_pressure": 1.0, - "start_flow": 4.0, "end_flow": 0.5, "avg_flow": 2.0, "max_flow": 4.5, - }, - "exit_trigger_result": {"triggered": {"type": "time"}}, - } - base.update(kw) - return base - - def test_stall_detected_on_time_failsafe_with_low_gain(self): - from services.shot_facts import detect_stall - stage = self._stage( - stage_type="pressure", - exit_triggers=[{"type": "flow"}, {"type": "time"}], - exit_trigger_result={"triggered": {"type": "time"}}, - execution_data={**self._stage()["execution_data"], "weight_gain": 0.3}, - ) - assert detect_stall(stage)["stalled"] is True - - def test_no_stall_when_weight_trigger(self): - from services.shot_facts import detect_stall - stage = self._stage(exit_trigger_result={"triggered": {"type": "weight"}}) - assert detect_stall(stage)["stalled"] is False - - def test_channeling_flag_on_pressure_drop_with_flow_rise(self): - from services.shot_facts import detect_channeling - ed = {**self._stage()["execution_data"], - "start_pressure": 8.0, "end_pressure": 3.0, - "start_flow": 1.0, "end_flow": 5.0} - assert detect_channeling(ed)["channeling"] is True - - def test_no_channeling_on_stable_stage(self): - from services.shot_facts import detect_channeling - ed = {**self._stage()["execution_data"], - "start_pressure": 6.0, "end_pressure": 6.2, - "start_flow": 2.0, "end_flow": 2.1} - assert detect_channeling(ed)["channeling"] is False - - def test_build_shot_facts_classifies_each_stage(self): - from services.shot_facts import build_shot_facts - local = { - "stage_analyses": [ - self._stage( - stage_type="pressure", - exit_triggers=[{"type": "weight"}], - exit_trigger_result={"triggered": {"type": "weight"}}, - ), - ], - "weight_analysis": {"actual": 36.0, "target": 36.0, "deviation_percent": 0.0}, - "overall_metrics": {"total_time": 30.0}, - } - facts = build_shot_facts(local) - assert len(facts["stages"]) == 1 - assert facts["stages"][0]["trigger_class"]["kind"] == "targeted" - assert "phases" in facts - - def test_total_time_falls_back_to_shot_summary(self): - from services.shot_facts import build_shot_facts - local = { - "stage_analyses": [], - "weight_analysis": {}, - "shot_summary": {"total_time": 28.5}, - } - assert build_shot_facts(local)["total_time_s"] == 28.5 - - def test_curve_adherence_uses_profile_target_value(self): - from services.shot_facts import build_shot_facts - local = { - "stage_analyses": [ - self._stage( - stage_type="pressure", - profile_target_value=9.0, - execution_data={**self._stage()["execution_data"], "avg_pressure": 8.5}, - ), - ], - "weight_analysis": {}, - "shot_summary": {"total_time": 30.0}, - } - ca = build_shot_facts(local)["stages"][0]["curve_adherence"] - assert ca is not None - assert ca["target"] == 9.0 - assert ca["measured"] == 8.5 - assert ca["delta"] == -0.5 - - def test_curve_adherence_none_without_target(self): - from services.shot_facts import build_shot_facts - local = { - "stage_analyses": [self._stage(stage_type="pressure")], - "weight_analysis": {}, - "shot_summary": {"total_time": 30.0}, - } - assert build_shot_facts(local)["stages"][0]["curve_adherence"] is None - - -class TestMeanDynamicsTarget: - def test_mean_of_pressure_setpoints(self): - from services.analysis_service import _mean_dynamics_target - stage = {"type": "pressure", "dynamics_points": [[0, 2.0], [10, 8.0]]} - assert _mean_dynamics_target(stage) == 5.0 - - def test_resolves_variable_references(self): - from services.analysis_service import _mean_dynamics_target - stage = {"type": "flow", "dynamics_points": [[0, "$f"], [5, 4.0]]} - variables = [{"key": "f", "name": "Flow", "value": 2.0}] - assert _mean_dynamics_target(stage, variables) == 3.0 - - def test_none_for_non_pressure_flow_stage(self): - from services.analysis_service import _mean_dynamics_target - assert _mean_dynamics_target({"type": "power", "dynamics_points": [[0, 5]]}) is None - - def test_none_when_no_numeric_points(self): - from services.analysis_service import _mean_dynamics_target - assert _mean_dynamics_target({"type": "pressure", "dynamics_points": []}) is None - - -class TestLocalAnalysisIncludesFacts: - def test_local_analysis_attaches_shot_facts(self): - from services.analysis_service import _perform_local_shot_analysis - - shot_data = { - "data": [ - {"time": 0, "shot": {"weight": 0, "pressure": 2.0, "flow": 0.5}, "status": "Bloom"}, - {"time": 5000, "shot": {"weight": 2.0, "pressure": 2.0, "flow": 0.5}, "status": "Bloom"}, - {"time": 6000, "shot": {"weight": 5.0, "pressure": 9.0, "flow": 2.5}, "status": "Main"}, - {"time": 25000, "shot": {"weight": 36.0, "pressure": 9.0, "flow": 2.5}, "status": "Main"}, - ] - } - - profile_data = { - "name": "Test Profile", - "final_weight": 36.0, - "stages": [ - { - "name": "Bloom", - "key": "bloom", - "type": "pressure", - "dynamics_points": [[0, 2.0]], - "dynamics_over": "time", - "exit_triggers": [{"type": "time", "value": 5, "comparison": ">="}], - }, - { - "name": "Main", - "key": "main", - "type": "pressure", - "dynamics_points": [[0, 9.0]], - "dynamics_over": "time", - "exit_triggers": [{"type": "weight", "value": 36, "comparison": ">="}], - }, - ], - "variables": [], - } - - result = _perform_local_shot_analysis(shot_data, profile_data) - - assert "shot_facts" in result - assert "stages" in result["shot_facts"] - - -class TestCompassRules: - def test_sour_and_weak_suggests_finer_and_hotter(self): - from services.compass_rules import compass_adjustments - adj = compass_adjustments(taste_x=-0.8, taste_y=-0.6) - kinds = {a["kind"] for a in adj} - assert "grind_finer" in kinds - assert any(a["kind"] in ("temp_up", "ratio_up", "dose_up") for a in adj) - - def test_bitter_and_strong_suggests_coarser_and_cooler(self): - from services.compass_rules import compass_adjustments - adj = compass_adjustments(taste_x=0.8, taste_y=0.7) - kinds = {a["kind"] for a in adj} - assert "grind_coarser" in kinds - - def test_centered_taste_returns_no_changes(self): - from services.compass_rules import compass_adjustments - assert compass_adjustments(taste_x=0.0, taste_y=0.0) == [] - - -class TestAnalysisKnowledge: - def test_knowledge_constant_covers_trigger_classes(self): - from analysis_knowledge import ANALYSIS_KNOWLEDGE - assert "Targeted" in ANALYSIS_KNOWLEDGE - assert "Failsafe" in ANALYSIS_KNOWLEDGE - assert "channeling" in ANALYSIS_KNOWLEDGE.lower() - - def test_fact_sheet_renders_stage_classification(self): - from analysis_knowledge import build_fact_sheet - facts = { - "stages": [{ - "stage_name": "Infusion", "reached": True, "control_mode": "pressure", - "trigger_type": "weight", - "trigger_class": {"kind": "targeted", "label": "Targeted (yield reached)", "reason": "x"}, - "stall": {"stalled": False, "weight_gain": 30.0}, - "channeling": {"channeling": False, "pressure_drop": 0.1, "flow_rise": 0.1}, - "curve_adherence": {"target": 9.0, "measured": 8.5, "delta": -0.5}, - }], - "phases": [], - "weight": {"actual": 36.0, "target": 36.0, "deviation_pct": 0.0}, - "total_time_s": 30.0, - } - sheet = build_fact_sheet(facts) - assert "Infusion" in sheet - assert "Targeted (yield reached)" in sheet - assert "36" in sheet - - def test_fact_sheet_flags_stall_and_channeling(self): - from analysis_knowledge import build_fact_sheet - facts = { - "stages": [{ - "stage_name": "Decline", "reached": True, "control_mode": "pressure", - "trigger_type": "time", - "trigger_class": {"kind": "failsafe", "label": "Failsafe (timeout limit)", "reason": "x"}, - "stall": {"stalled": True, "weight_gain": 0.2}, - "channeling": {"channeling": True, "pressure_drop": 3.0, "flow_rise": 2.0}, - "curve_adherence": None, - }], - "phases": [], "weight": {}, "total_time_s": 25.0, - } - sheet = build_fact_sheet(facts).lower() - assert "stall" in sheet - assert "channel" in sheet - - -class TestAnalysisPromptContent: - """The analyze-llm prompt must carry ANALYSIS_KNOWLEDGE, the fact sheet, and the few-shot.""" - - @patch("api.routes.shots.fetch_shot_data", new_callable=AsyncMock) - @patch("api.routes.shots.async_get_profile", new_callable=AsyncMock) - @patch("api.routes.shots.async_list_profiles", new_callable=AsyncMock) - @patch("api.routes.shots.get_vision_model") - @patch("api.routes.shots._perform_local_shot_analysis") - def test_prompt_includes_knowledge_factsheet_fewshot( - self, - mock_local_analysis, - mock_get_model, - mock_list_profiles, - mock_get_profile, - mock_fetch_shot, - client, - ): - mock_fetch_shot.return_value = { - "profile_name": "Test", - "time": 1705320000, - "data": [{"time": 25000, "shot": {"weight": 36.0}}], - } - - partial = type("P", (), {})() - partial.name = "Test" - partial.id = "p-123" - partial.error = None - mock_list_profiles.return_value = [partial] - - full = type("F", (), {})() - full.name = "Test" - full.temperature = 93.0 - full.final_weight = 36.0 - full.variables = [] - full.stages = [] - full.error = None - mock_get_profile.return_value = full - - mock_local_analysis.return_value = { - "shot_summary": {"final_weight": 36.0, "total_time": 28.0}, - "weight_analysis": {"actual": 36.0, "target": 36.0, "deviation_percent": 0.0}, - "stage_analyses": [], - "shot_facts": { - "stages": [], - "phases": [], - "weight": {"actual": 36.0, "target": 36.0, "deviation_pct": 0.0}, - "total_time_s": 28.0, - }, - } - - mock_model = MagicMock() - mock_model.async_generate_content = AsyncMock( - return_value=MagicMock( - text="## 1. Shot Performance\n**What Happened:**\n- ok\n**Assessment:** Good" - ) - ) - mock_get_model.return_value = mock_model - - resp = client.post( - "/api/shots/analyze-llm", - data={ - "profile_name": "Test", - "shot_date": "2024-01-15", - "shot_filename": "shot.json", - "force_refresh": "true", - }, - ) - assert resp.status_code == 200 - prompt = mock_model.async_generate_content.call_args[0][0] - assert "EXIT TRIGGER CLASSIFICATION" in prompt # ANALYSIS_KNOWLEDGE - assert "Deterministic Shot Facts" in prompt # fact sheet - assert "Worked Example" in prompt # few-shot - - -class TestAnalysisValidator: - def _facts_targeted_weight(self): - return { - "stages": [{ - "stage_name": "Hold", "reached": True, "control_mode": "pressure", - "trigger_type": "weight", - "trigger_class": {"kind": "targeted", "label": "Targeted (yield reached)", "reason": ""}, - "stall": {"stalled": False, "weight_gain": 30.0}, - "channeling": {"channeling": False, "pressure_drop": 0.0, "flow_rise": 0.0}, - "curve_adherence": None, - }], - "phases": [], "weight": {"actual": 36.0, "target": 36.0, "deviation_pct": 0.0}, - "total_time_s": 28.0, - } - - def test_flags_targeted_exit_called_early_termination(self): - from services.analysis_validator import validate_against_facts - text = "- The hold stage terminated early before reaching its goal." - r = validate_against_facts(text, self._facts_targeted_weight()) - assert r["valid"] is False - assert "mischaracterized-targeted-exit" in r["issues"] - - def test_accepts_success_framing(self): - from services.analysis_validator import validate_against_facts - text = "- The hold stage ended exactly on the weight target, a correct finish." - assert validate_against_facts(text, self._facts_targeted_weight())["valid"] is True - - def test_flags_unsupported_channeling(self): - from services.analysis_validator import validate_against_facts - text = "- Severe channeling caused the pressure to collapse." - assert "unsupported-channeling" in validate_against_facts(text, self._facts_targeted_weight())["issues"] - - -class TestAnalysisStructure: - def test_schema_lists_core_sections(self): - from analysis_schema import REQUIRED_ANALYSIS_SECTIONS - assert "Shot Performance" in REQUIRED_ANALYSIS_SECTIONS - assert len(REQUIRED_ANALYSIS_SECTIONS) >= 5 - - def test_check_structure_flags_missing_sections(self): - from services.analysis_validator import check_structure - r = check_structure("## 1. Shot Performance\n- ok") - assert r["valid"] is False - assert "missing-sections" in r["issues"] - - def test_check_structure_accepts_full_text(self): - from analysis_schema import REQUIRED_ANALYSIS_SECTIONS - from services.analysis_validator import check_structure - text = "\n".join(f"## {i+1}. {s}\n- content" for i, s in enumerate(REQUIRED_ANALYSIS_SECTIONS)) - assert check_structure(text)["valid"] is True - - -class TestAnalysisCoverageMatrix: - def test_server_exposes_all_analysis_checks(self): - from services import analysis_validator as v - assert callable(v.validate_against_facts) - assert callable(v.check_structure) - from analysis_knowledge import build_fact_sheet, ANALYSIS_KNOWLEDGE # noqa: F401 - from services.shot_facts import build_shot_facts, classify_trigger # noqa: F401 - from services.compass_rules import compass_adjustments # noqa: F401 diff --git a/apps/server/test_recommendations.py b/apps/server/test_recommendations.py deleted file mode 100644 index 2de934bf..00000000 --- a/apps/server/test_recommendations.py +++ /dev/null @@ -1,504 +0,0 @@ -"""Tests for profile recommendation service — structural scoring.""" - -import pytest -from unittest.mock import patch, AsyncMock -from types import SimpleNamespace - -import os -import sys - -sys.path.insert(0, os.path.dirname(__file__)) - -os.environ.setdefault("METICULOUS_IP", "127.0.0.1") -os.environ.setdefault("TEST_MODE", "true") - - -from services.profile_recommendation_service import ( - _jaccard, - extract_fingerprint, - _extract_name_tags, - _score_profile, - _proximity_score, - _LRUCache, - ProfileRecommendationService, -) - - -# --------------------------------------------------------------------------- -# Helpers -# --------------------------------------------------------------------------- - - -def _make_stage( - name: str, - stype: str, - points: list, - over: str = "time", - interpolation: str = "linear", - exit_triggers: list | None = None, - limits: list | None = None, -): - """Create a mock Stage object.""" - dynamics = SimpleNamespace(points=points, over=over, interpolation=interpolation) - return SimpleNamespace( - name=name, - key=f"{stype}_0", - type=stype, - dynamics=dynamics, - exit_triggers=exit_triggers or [], - limits=limits or [], - ) - - -def _make_profile( - name: str, - stages: list | None = None, - temperature: float = 93.0, - final_weight: float = 36.0, - variables: list | None = None, -): - """Create a mock Profile object.""" - return SimpleNamespace( - name=name, - id=f"id-{name}", - author="test", - author_id="test-id", - temperature=temperature, - final_weight=final_weight, - stages=stages or [], - variables=variables or [], - ) - - -# A realistic pressure-controlled espresso profile -PRESSURE_PROFILE = _make_profile( - "Classic Italian Espresso", - stages=[ - _make_stage("Preinfusion", "pressure", [[0, 2.0], [5, 4.0]]), - _make_stage("Ramp", "pressure", [[0, 4.0], [3, 9.0]]), - _make_stage("Extraction", "pressure", [[0, 9.0], [25, 8.5]]), - ], - temperature=93.0, - final_weight=36.0, -) - -# A flow-controlled profile with bloom -FLOW_PROFILE = _make_profile( - "Modern Flow Bloom", - stages=[ - _make_stage("Preinfusion", "flow", [[0, 2.0], [5, 2.0]]), - _make_stage("Bloom", "flow", [[0, 0.5], [10, 0.5]]), - _make_stage("Main Extraction", "flow", [[0, 2.5], [20, 2.0]]), - ], - temperature=90.0, - final_weight=40.0, -) - -# A simple flat pressure profile -FLAT_PROFILE = _make_profile( - "Simple 6 Bar", - stages=[ - _make_stage("Flat Pressure", "pressure", [[0, 6.0], [30, 6.0]]), - ], - temperature=93.0, - final_weight=36.0, -) - -# A turbo shot (high flow, low weight) -TURBO_PROFILE = _make_profile( - "Turbo Shot", - stages=[ - _make_stage("Turbo", "flow", [[0, 5.0], [8, 5.0]]), - ], - temperature=96.0, - final_weight=20.0, -) - -# A lever-style with declining pressure -LEVER_PROFILE = _make_profile( - "Lever Decline", - stages=[ - _make_stage("Preinfusion", "pressure", [[0, 2.0], [5, 4.0]]), - _make_stage("Peak", "pressure", [[0, 9.0], [2, 9.0]]), - _make_stage("Decline", "pressure", [[0, 9.0], [20, 3.0]]), - ], - temperature=92.0, - final_weight=38.0, -) - - -# --------------------------------------------------------------------------- -# Jaccard tests -# --------------------------------------------------------------------------- - - -class TestJaccard: - def test_both_empty(self): - assert _jaccard(set(), set()) == 0.0 - - def test_identical(self): - assert _jaccard({"a", "b"}, {"a", "b"}) == 1.0 - - def test_no_overlap(self): - assert _jaccard({"a"}, {"b"}) == 0.0 - - def test_partial_overlap(self): - assert _jaccard({"a", "b", "c"}, {"b", "c", "d"}) == pytest.approx(0.5) - - -# --------------------------------------------------------------------------- -# Proximity score tests -# --------------------------------------------------------------------------- - - -class TestProximityScore: - def test_identical_values(self): - score, _ = _proximity_score(36.0, 36.0, 2.0, 10.0, 15) - assert score == 15 - - def test_within_full_range(self): - score, _ = _proximity_score(36.0, 37.5, 2.0, 10.0, 15) - assert score == 15 - - def test_partial_range(self): - score, _ = _proximity_score(36.0, 42.0, 2.0, 10.0, 15) - assert 0 < score < 15 - - def test_out_of_range(self): - score, _ = _proximity_score(36.0, 50.0, 2.0, 10.0, 15) - assert score == 0.0 - - def test_none_values(self): - score, _ = _proximity_score(None, 36.0, 2.0, 10.0, 15) - assert score == 0.0 - - -# --------------------------------------------------------------------------- -# Fingerprint extraction tests -# --------------------------------------------------------------------------- - - -class TestExtractFingerprint: - def test_pressure_profile(self): - fp = extract_fingerprint(PRESSURE_PROFILE) - assert fp["control_mode"] == "pressure" - assert fp["has_preinfusion"] is True - assert fp["stage_count"] == 3 - assert fp["peak_pressure"] > 0 - assert "pressure-profile" in fp["technique_tags"] - assert "preinfusion" in fp["technique_tags"] - - def test_flow_profile_with_bloom(self): - fp = extract_fingerprint(FLOW_PROFILE) - assert fp["control_mode"] == "flow" - assert fp["has_bloom"] is True - assert fp["has_preinfusion"] is True - assert "flow-profile" in fp["technique_tags"] - assert "bloom" in fp["technique_tags"] - - def test_flat_profile(self): - fp = extract_fingerprint(FLAT_PROFILE) - assert fp["is_flat"] is True - assert fp["stage_count"] == 1 - assert "flat" in fp["technique_tags"] - - def test_turbo_profile(self): - fp = extract_fingerprint(TURBO_PROFILE) - assert fp["control_mode"] == "flow" - assert fp["temperature"] == 96.0 - assert fp["final_weight"] == 20.0 - - def test_lever_with_decline(self): - fp = extract_fingerprint(LEVER_PROFILE) - assert fp["has_preinfusion"] is True - assert "decline" in fp["technique_tags"] - assert fp["peak_pressure"] >= 9.0 - - def test_empty_stages(self): - profile = _make_profile("Empty", stages=[]) - fp = extract_fingerprint(profile) - assert fp["stage_count"] == 0 - assert fp["control_mode"] == "unknown" - assert fp["peak_pressure"] == 0 - - def test_pulse_detection_many_stages(self): - stages = [ - _make_stage(f"Step {i}", "pressure", [[0, 3], [1, 6]]) for i in range(6) - ] - profile = _make_profile("Pulse Profile", stages=stages) - fp = extract_fingerprint(profile) - assert fp["has_pulse"] is True - assert "pulse" in fp["technique_tags"] - - -# --------------------------------------------------------------------------- -# Tag extraction tests -# --------------------------------------------------------------------------- - - -class TestExtractNameTags: - def test_keywords_in_name(self): - profile = _make_profile("Fruity Bloom Light", stages=[]) - tags = _extract_name_tags(profile) - assert "fruity" in tags - assert "bloom" in tags - assert "light" in tags - - def test_stage_keywords(self): - stages = [_make_stage("Preinfusion", "pressure", [[0, 3], [5, 6]])] - profile = _make_profile("Test", stages=stages) - tags = _extract_name_tags(profile) - assert "preinfusion" in tags - - def test_no_match(self): - profile = _make_profile("Standard", stages=[]) - tags = _extract_name_tags(profile) - assert len(tags) == 0 - - -# --------------------------------------------------------------------------- -# Scoring tests -# --------------------------------------------------------------------------- - - -class TestScoreProfile: - def test_similar_pressure_profiles_score_high(self): - source_fp = extract_fingerprint(PRESSURE_PROFILE) - source_tags = _extract_name_tags(PRESSURE_PROFILE) - score, reasons, explanation = _score_profile( - source_tags, source_fp, LEVER_PROFILE - ) - # Both pressure-controlled with preinfusion - assert score > 30 - - def test_different_control_modes_score_lower(self): - source_fp = extract_fingerprint(PRESSURE_PROFILE) - source_tags = _extract_name_tags(PRESSURE_PROFILE) - score_pressure, _, _ = _score_profile(source_tags, source_fp, LEVER_PROFILE) - score_flow, _, _ = _score_profile(source_tags, source_fp, TURBO_PROFILE) - assert score_pressure > score_flow - - def test_weight_similarity_matters(self): - # Two profiles with similar weight should score higher - p_close = _make_profile("Test A", stages=[], temperature=93, final_weight=37) - p_far = _make_profile("Test B", stages=[], temperature=93, final_weight=60) - source_fp = { - "final_weight": 36, - "peak_pressure": 0, - "temperature": 93, - "control_mode": "unknown", - "stage_count": 0, - "is_flat": False, - "technique_tags": set(), - "has_preinfusion": False, - "has_bloom": False, - "has_pulse": False, - } - score_close, _, _ = _score_profile(set(), source_fp, p_close) - score_far, _, _ = _score_profile(set(), source_fp, p_far) - assert score_close > score_far - - def test_temperature_similarity(self): - p_close = _make_profile("Test A", stages=[], temperature=93, final_weight=36) - p_far = _make_profile("Test B", stages=[], temperature=80, final_weight=36) - source_fp = { - "final_weight": 36, - "peak_pressure": 0, - "temperature": 93, - "control_mode": "unknown", - "stage_count": 0, - "is_flat": False, - "technique_tags": set(), - "has_preinfusion": False, - "has_bloom": False, - "has_pulse": False, - } - score_close, _, _ = _score_profile(set(), source_fp, p_close) - score_far, _, _ = _score_profile(set(), source_fp, p_far) - assert score_close > score_far - - def test_score_capped_at_100(self): - # Even with maximum overlap, score should not exceed 100 - source_fp = extract_fingerprint(PRESSURE_PROFILE) - source_tags = _extract_name_tags(PRESSURE_PROFILE) - score, _, _ = _score_profile(source_tags, source_fp, PRESSURE_PROFILE) - assert score <= 100 - - def test_explanation_is_string(self): - source_fp = extract_fingerprint(PRESSURE_PROFILE) - source_tags = _extract_name_tags(PRESSURE_PROFILE) - _, _, explanation = _score_profile(source_tags, source_fp, LEVER_PROFILE) - assert isinstance(explanation, str) - - -# --------------------------------------------------------------------------- -# LRU Cache tests -# --------------------------------------------------------------------------- - - -class TestLRUCache: - def test_get_set(self): - cache = _LRUCache(3) - cache.put("a", [{"x": 1}]) - assert cache.get("a") == [{"x": 1}] - - def test_eviction(self): - cache = _LRUCache(2) - cache.put("a", []) - cache.put("b", []) - cache.put("c", []) - assert cache.get("a") is None - assert cache.get("b") is not None - - def test_clear(self): - cache = _LRUCache(5) - cache.put("a", []) - cache.clear() - assert cache.get("a") is None - - -# --------------------------------------------------------------------------- -# Service integration tests -# --------------------------------------------------------------------------- - - -class TestRecommendationService: - @pytest.fixture - def service(self): - return ProfileRecommendationService() - - @pytest.mark.asyncio - async def test_recommendations_return_format(self, service): - profiles = [PRESSURE_PROFILE, FLOW_PROFILE, FLAT_PROFILE] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.get_recommendations( - tags=["preinfusion", "bloom"], limit=5 - ) - - assert isinstance(results, list) - for r in results: - assert "profile_name" in r - assert "score" in r - assert "match_reasons" in r - assert "explanation" in r - - @pytest.mark.asyncio - async def test_recommendations_filters_zero_score(self, service): - profiles = [_make_profile("Totally Unrelated", stages=[])] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.get_recommendations(tags=["fruity"], limit=5) - - for r in results: - assert r["score"] > 0 - - @pytest.mark.asyncio - async def test_recommendations_empty_catalogue(self, service): - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=[], - ): - results = await service.get_recommendations(tags=["fruity"], limit=5) - - assert results == [] - - @pytest.mark.asyncio - async def test_find_similar_excludes_source(self, service): - profiles = [PRESSURE_PROFILE, FLOW_PROFILE, LEVER_PROFILE] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.find_similar("Classic Italian Espresso", limit=5) - - assert all(r["profile_name"] != "Classic Italian Espresso" for r in results) - - @pytest.mark.asyncio - async def test_find_similar_unknown_profile(self, service): - profiles = [PRESSURE_PROFILE, FLOW_PROFILE] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.find_similar("DoesNotExist", limit=5) - - assert results == [] - - @pytest.mark.asyncio - async def test_cache_invalidation(self, service): - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=[PRESSURE_PROFILE], - ): - r1 = await service.get_recommendations(tags=["preinfusion"], limit=5) - - service.invalidate_cache() - - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=[FLOW_PROFILE], - ): - r2 = await service.get_recommendations(tags=["preinfusion"], limit=5) - - names1 = {r["profile_name"] for r in r1} - names2 = {r["profile_name"] for r in r2} - assert names1 != names2 or (not r1 and not r2) - - @pytest.mark.asyncio - async def test_structural_ranking_pressure(self, service): - """Pressure-controlled profiles should rank higher when searching for pressure-like tags.""" - profiles = [ - PRESSURE_PROFILE, - FLOW_PROFILE, - FLAT_PROFILE, - TURBO_PROFILE, - LEVER_PROFILE, - ] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.get_recommendations( - tags=["preinfusion", "pressure"], limit=5 - ) - - if results: - # First result should be a pressure-controlled profile - top_names = [r["profile_name"] for r in results[:2]] - assert any( - "Italian" in n or "Lever" in n or "Simple" in n for n in top_names - ) - - @pytest.mark.asyncio - async def test_find_similar_structural(self, service): - """Find similar to a pressure profile should rank other pressure profiles higher.""" - profiles = [PRESSURE_PROFILE, FLOW_PROFILE, LEVER_PROFILE, TURBO_PROFILE] - with patch( - "services.profile_recommendation_service.async_fetch_all_profiles", - new_callable=AsyncMock, - return_value=profiles, - ): - results = await service.find_similar("Classic Italian Espresso", limit=5) - - if results: - # Lever should rank higher than flow/turbo for a pressure profile - lever_score = next( - (r["score"] for r in results if "Lever" in r["profile_name"]), 0 - ) - turbo_score = next( - (r["score"] for r in results if "Turbo" in r["profile_name"]), 0 - ) - assert lever_score > turbo_score diff --git a/apps/server/test_taste_compass.py b/apps/server/test_taste_compass.py deleted file mode 100644 index 61f65af0..00000000 --- a/apps/server/test_taste_compass.py +++ /dev/null @@ -1,211 +0,0 @@ -"""Tests for Espresso Compass (taste feedback) feature. - -Covers: -- Taste context prompt building -- Cache differentiation with taste hash -- Backward compatibility (no taste params) -- analyze_shot_with_llm taste parameter plumbing -""" - -import os -import sys - - -sys.path.insert(0, os.path.dirname(__file__)) -os.environ.setdefault("TEST_MODE", "true") - -from prompt_builder import build_taste_context, _describe_axis_value -from services.gemini_service import compute_taste_hash - - -# ============================================================================ -# build_taste_context tests -# ============================================================================ - - -class TestBuildTasteContext: - """Tests for prompt_builder.build_taste_context.""" - - def test_returns_empty_when_no_data(self): - assert build_taste_context(None, None, None) == "" - - def test_returns_empty_when_no_coords_and_no_descriptors(self): - assert build_taste_context(None, None, []) == "" - - def test_includes_balance_and_body_when_coords_present(self): - result = build_taste_context(-0.3, 0.7, None) - assert "Balance:" in result - assert "Body:" in result - assert "X: -0.30" in result - assert "Y: 0.70" in result - - def test_includes_descriptors_when_present(self): - result = build_taste_context(None, None, ["Sweet", "Complex"]) - assert "Descriptors: Sweet, Complex" in result - - def test_includes_both_coords_and_descriptors(self): - result = build_taste_context(0.5, -0.2, ["Bitter", "Harsh"]) - assert "Balance:" in result - assert "Body:" in result - assert "Descriptors: Bitter, Harsh" in result - - def test_includes_domain_knowledge(self): - result = build_taste_context(0.5, 0.5, ["Sweet"]) - assert "under-extraction" in result - assert "over-extraction" in result - assert "increase dose" in result.lower() or "Weak/Thin" in result - - def test_includes_taste_section_instruction(self): - result = build_taste_context(0.1, 0.1, ["Clean"]) - assert "Taste-Based Recommendations" in result - - def test_center_values_show_balanced(self): - result = build_taste_context(0.0, 0.0, None) - assert "Balanced" in result - - def test_extreme_sour(self): - result = build_taste_context(-0.9, 0.0, None) - assert "Very" in result and "Sour" in result - - def test_extreme_bitter(self): - result = build_taste_context(0.9, 0.0, None) - assert "Very" in result and "Bitter" in result - - def test_includes_quadrant_knowledge(self): - result = build_taste_context(0.5, 0.5, None) - assert "Quadrant:" in result - - -class TestDescribeAxisValue: - """Tests for prompt_builder._describe_axis_value.""" - - def test_balanced_near_zero(self): - assert _describe_axis_value(0.05, "Sour", "Bitter") == "Balanced" - - def test_slightly_positive(self): - assert _describe_axis_value(0.25, "Sour", "Bitter") == "Slightly Bitter" - - def test_slightly_negative(self): - assert _describe_axis_value(-0.25, "Sour", "Bitter") == "Slightly Sour" - - def test_moderately_positive(self): - assert _describe_axis_value(0.55, "Weak", "Strong") == "Moderately Strong" - - def test_very_negative(self): - assert _describe_axis_value(-0.85, "Weak", "Strong") == "Very Weak" - - -# ============================================================================ -# compute_taste_hash tests -# ============================================================================ - - -class TestComputeTasteHash: - """Tests for gemini_service.compute_taste_hash.""" - - def test_returns_none_when_no_data(self): - assert compute_taste_hash(None, None, None) is None - - def test_returns_none_when_no_coords_and_empty_descriptors(self): - assert compute_taste_hash(None, None, []) is None - - def test_returns_hash_with_coords_only(self): - h = compute_taste_hash(0.5, -0.3, None) - assert h is not None - assert isinstance(h, str) - assert len(h) == 12 - - def test_returns_hash_with_descriptors_only(self): - h = compute_taste_hash(None, None, ["Sweet", "Clean"]) - assert h is not None - assert len(h) == 12 - - def test_different_coords_produce_different_hashes(self): - h1 = compute_taste_hash(0.5, 0.5, None) - h2 = compute_taste_hash(-0.5, 0.5, None) - assert h1 != h2 - - def test_different_descriptors_produce_different_hashes(self): - h1 = compute_taste_hash(0.5, 0.5, ["Sweet"]) - h2 = compute_taste_hash(0.5, 0.5, ["Bitter"]) - assert h1 != h2 - - def test_same_input_produces_same_hash(self): - h1 = compute_taste_hash(0.5, 0.5, ["Sweet", "Clean"]) - h2 = compute_taste_hash(0.5, 0.5, ["Sweet", "Clean"]) - assert h1 == h2 - - def test_descriptor_order_does_not_matter(self): - """Descriptors are sorted internally, so order shouldn't affect hash.""" - h1 = compute_taste_hash(0.5, 0.5, ["Clean", "Sweet"]) - h2 = compute_taste_hash(0.5, 0.5, ["Sweet", "Clean"]) - assert h1 == h2 - - def test_coords_without_descriptors_differs_from_with(self): - h1 = compute_taste_hash(0.5, 0.5, None) - h2 = compute_taste_hash(0.5, 0.5, ["Sweet"]) - assert h1 != h2 - - -# ============================================================================ -# Cache differentiation integration test -# ============================================================================ - - -class TestCacheDifferentiation: - """Test that the cache key generation works for taste-aware analysis.""" - - def test_no_taste_returns_original_filename(self): - taste_hash = compute_taste_hash(None, None, None) - shot_filename = "shot_2024-01-01.json" - cache_filename = ( - f"{shot_filename}_taste_{taste_hash}" if taste_hash else shot_filename - ) - assert cache_filename == shot_filename - - def test_with_taste_appends_hash_to_filename(self): - taste_hash = compute_taste_hash(0.5, -0.3, ["Sweet"]) - shot_filename = "shot_2024-01-01.json" - cache_filename = ( - f"{shot_filename}_taste_{taste_hash}" if taste_hash else shot_filename - ) - assert cache_filename != shot_filename - assert "_taste_" in cache_filename - assert cache_filename.startswith(shot_filename) - - def test_different_taste_different_cache_keys(self): - h1 = compute_taste_hash(0.5, 0.5, ["Sweet"]) - h2 = compute_taste_hash(-0.5, -0.5, ["Bitter"]) - filename = "shot.json" - c1 = f"{filename}_taste_{h1}" - c2 = f"{filename}_taste_{h2}" - assert c1 != c2 - - -# ============================================================================ -# Backward compatibility -# ============================================================================ - - -class TestBackwardCompatibility: - """Verify that the new taste params don't break existing behavior.""" - - def test_build_taste_context_graceful_with_none(self): - """No taste data should produce empty string, not crash.""" - assert build_taste_context(None, None, None) == "" - - def test_compute_taste_hash_graceful_with_none(self): - """No taste data should produce None hash.""" - assert compute_taste_hash(None, None, None) is None - - def test_prompt_omits_taste_when_no_data(self): - """Taste context should be empty string when no data present.""" - ctx = build_taste_context(None, None, None) - assert ctx == "" - # This means the prompt will have no taste section - - def test_prompt_includes_taste_when_data_present(self): - """Taste context should be non-empty when data present.""" - ctx = build_taste_context(0.3, -0.5, ["Juicy"]) - assert len(ctx) > 0 - assert "Taste Feedback" in ctx diff --git a/apps/server/tools/__init__.py b/apps/server/tools/__init__.py deleted file mode 100644 index 7c0e092f..00000000 --- a/apps/server/tools/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -"""Developer tools for tinkering with Metic's shot-analysis algorithm. - -Run the shot analyzer from the ``apps/server`` directory: - - python -m tools.analyze_shot [profile.json] - -See ``docs/local-shot-analysis.md`` for the full guide. -""" diff --git a/apps/server/tools/analyze_shot.py b/apps/server/tools/analyze_shot.py deleted file mode 100644 index 4d929b8e..00000000 --- a/apps/server/tools/analyze_shot.py +++ /dev/null @@ -1,163 +0,0 @@ -"""Command-line runner for Metic's deterministic (no-LLM) shot analysis. - -This wraps the exact same algorithm the app uses in production -(``analysis_service._perform_local_shot_analysis`` → -``shot_facts.build_shot_facts``) so you can run it against real shot logs -and profiles from the terminal — perfect for tinkering with the -stage-classification / effective-control-mode / puck-failure logic without -touching the UI. - -Usage (from ``apps/server``): - - python -m tools.analyze_shot [profile.json] - python -m tools.analyze_shot [profile.json] --json - -- ``shot.json`` A machine shot log (the object with a ``data`` array; it may - also embed its own ``profile``). -- ``profile.json`` Optional. The profile used for the shot. When omitted, the - profile embedded in the shot file is used. - -Where the algorithm lives (edit these to tinker): -- ``services/analysis_service.py`` — stage execution + curve extraction. -- ``services/shot_facts.py`` — control-mode / trigger / stall / puck logic. -""" - -from __future__ import annotations - -import argparse -import json -import sys -from pathlib import Path -from typing import Any - -from services.analysis_service import _perform_local_shot_analysis - - -def load_json(path: str) -> dict[str, Any]: - """Load and parse a JSON file, raising a clear error on failure.""" - data = json.loads(Path(path).read_text(encoding="utf-8")) - if not isinstance(data, dict): - raise ValueError(f"{path}: expected a JSON object, got {type(data).__name__}") - return data - - -def run_analysis(shot_path: str, profile_path: str | None = None) -> dict[str, Any]: - """Load the shot (and profile) and run the local analysis pipeline. - - When ``profile_path`` is omitted, the profile embedded in the shot file - (``shot["profile"]``) is used. Returns the full analysis dict, including - the deterministic ``shot_facts`` object. - """ - shot_data = load_json(shot_path) - if profile_path: - profile_data = load_json(profile_path) - else: - profile_data = shot_data.get("profile") or {} - if not profile_data: - raise ValueError( - f"{shot_path} has no embedded 'profile'; pass a profile file as " - "the second argument." - ) - return _perform_local_shot_analysis(shot_data, profile_data) - - -def _fmt(value: Any) -> str: - return "—" if value is None else str(value) - - -def format_report(analysis: dict[str, Any]) -> str: - """Render a concise, human-readable report of the analysis.""" - lines: list[str] = [] - summary = analysis.get("shot_summary", {}) - profile_info = analysis.get("profile_info", {}) - facts = analysis.get("shot_facts", {}) - - lines.append(f"Profile: {_fmt(profile_info.get('name'))}") - lines.append(f"Temperature: {_fmt(profile_info.get('temperature'))} °C") - lines.append( - "Weight: " - f"{_fmt(summary.get('final_weight'))} g " - f"(target {_fmt(summary.get('target_weight'))} g)" - ) - lines.append(f"Total time: {_fmt(summary.get('total_time'))} s") - lines.append(f"Max pressure: {_fmt(summary.get('max_pressure'))} bar") - lines.append(f"Max flow: {_fmt(summary.get('max_flow'))} ml/s") - lines.append("") - lines.append("Stage facts") - lines.append("-----------") - - for stage in facts.get("stages", []): - name = _fmt(stage.get("stage_name")) - if not stage.get("reached"): - lines.append(f"• {name}: not reached") - continue - declared = _fmt(stage.get("declared_mode")) - effective = _fmt(stage.get("control_mode")) - mode = effective - if stage.get("mode_overridden"): - mode = f"{effective} (declared {declared})" - trig_class = stage.get("trigger_class") or {} - stall = stage.get("stall") or {} - chan = stage.get("channeling") or {} - curve = stage.get("curve_adherence") - - lines.append(f"• {name}") - lines.append(f" control mode: {mode}") - lines.append( - " trigger: " - f"{_fmt(stage.get('trigger_type'))} → {_fmt(trig_class.get('label'))}" - ) - if trig_class.get("reason"): - lines.append(f" {trig_class['reason']}") - lines.append( - " stall: " - f"{'yes' if stall.get('stalled') else 'no'} " - f"(weight gain {_fmt(stall.get('weight_gain'))} g)" - ) - if isinstance(chan, dict) and chan.get("detected") is not None: - lines.append(f" channeling: {'yes' if chan.get('detected') else 'no'}") - if isinstance(curve, dict): - lines.append( - " curve delta: " - f"target {_fmt(curve.get('target'))}, " - f"measured {_fmt(curve.get('measured'))}, " - f"Δ {_fmt(curve.get('delta'))}" - ) - - return "\n".join(lines) - - -def main(argv: list[str] | None = None) -> int: - parser = argparse.ArgumentParser( - prog="python -m tools.analyze_shot", - description="Run Metic's deterministic shot analysis on a shot log.", - ) - parser.add_argument("shot", help="Path to a machine shot-log JSON file.") - parser.add_argument( - "profile", - nargs="?", - default=None, - help="Path to a profile JSON file (defaults to the shot's embedded profile).", - ) - parser.add_argument( - "--json", - action="store_true", - help="Print the full analysis object as JSON instead of a report.", - ) - args = parser.parse_args(argv) - - try: - analysis = run_analysis(args.shot, args.profile) - except (OSError, ValueError, json.JSONDecodeError) as exc: - print(f"error: {exc}", file=sys.stderr) - return 1 - - if args.json: - print(json.dumps(analysis, indent=2, ensure_ascii=False)) - else: - print(format_report(analysis)) - return 0 - - -if __name__ == "__main__": - raise SystemExit(main()) diff --git a/apps/server/tools/samples/slayer_at_home.shot.json b/apps/server/tools/samples/slayer_at_home.shot.json deleted file mode 100644 index 5e7f8586..00000000 --- a/apps/server/tools/samples/slayer_at_home.shot.json +++ /dev/null @@ -1 +0,0 @@ -{"time": 1782971169.204821, "profile_name": "Slayer at Home", "data": [{"shot": {"pressure": 0.0, "flow": 2.55, "weight": 0.0, "gravimetric_flow": 0.0, "setpoints": {"active": "pressure", "pressure": 0.0}}, "time": 47, "profile_time": 47, "status": "PreBrew", "sensors": {"external_1": 107.28, "external_2": 106.44, "bar_up": 83.06, "bar_mid_up": 87.93, "bar_mid_down": 87.93, "bar_down": 86.72, "tube": 86.42, "motor_temp": 30.84, "lam_temp": 29.28, "motor_position": 34.84, "motor_speed": 2.22, "motor_power": 17.98, "motor_current": 0.1, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 295.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 0.0}}, {"shot": {"pressure": 0.0, "flow": 3.19, "weight": 0.0, "gravimetric_flow": 0.0, "setpoints": {"active": "flow", "flow": 1.2, "pressure": 1.8}}, "time": 131, "profile_time": 131, "status": "PreBrew", "sensors": {"external_1": 107.21, "external_2": 106.4, "bar_up": 82.87, "bar_mid_up": 87.73, "bar_mid_down": 87.93, "bar_down": 86.52, "tube": 86.37, "motor_temp": 30.82, "lam_temp": 29.28, "motor_position": 35.04, "motor_speed": 1.71, "motor_power": 16.04, "motor_current": 0.51, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 295.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 0.0}}, {"shot": {"pressure": 0.0, "flow": 3.82, "weight": 0.0, "gravimetric_flow": 0.0, "setpoints": {"active": "flow", "flow": 1.2, "pressure": 1.8}}, "time": 263, "profile_time": 263, "status": "PreBrew", "sensors": {"external_1": 107.18, "external_2": 106.37, "bar_up": 82.87, "bar_mid_up": 87.93, "bar_mid_down": 87.73, "bar_down": 86.72, "tube": 86.35, "motor_temp": 30.82, "lam_temp": 29.28, "motor_position": 35.24, "motor_speed": 1.45, "motor_power": 13.54, "motor_current": 0.45, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 294.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", 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288.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 41.88}}, {"shot": {"pressure": 0.0, "flow": 0, "weight": 41.88, "gravimetric_flow": 0.06, "setpoints": {"active": null}}, "time": 63410, "profile_time": 59185, "status": "retracting", "sensors": {"external_1": 93.47, "external_2": 93.14, "bar_up": 70.02, "bar_mid_up": 77.61, "bar_mid_down": 79.65, "bar_down": 78.62, "tube": 76.48, "motor_temp": 31.68, "lam_temp": 31.45, "motor_position": 30.62, "motor_speed": -10.05, "motor_power": -100.0, "motor_current": -1.12, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 288.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 41.89}}, {"shot": {"pressure": 0.0, "flow": 0, "weight": 41.89, "gravimetric_flow": 0.05, "setpoints": {"active": null}}, "time": 63540, "profile_time": 59185, "status": "retracting", "sensors": {"external_1": 93.47, "external_2": 93.14, "bar_up": 70.02, "bar_mid_up": 77.61, "bar_mid_down": 79.65, "bar_down": 78.62, "tube": 76.48, "motor_temp": 31.68, "lam_temp": 31.45, "motor_position": 29.32, "motor_speed": -10.05, "motor_power": -100.0, "motor_current": -1.11, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 288.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 41.9}}, {"shot": {"pressure": 0.0, "flow": 0, "weight": 41.9, "gravimetric_flow": 0.04, "setpoints": {"active": null}}, "time": 63681, "profile_time": 59185, "status": "retracting", "sensors": {"external_1": 93.47, "external_2": 93.14, "bar_up": 70.02, "bar_mid_up": 77.61, "bar_mid_down": 79.65, "bar_down": 78.62, "tube": 76.48, "motor_temp": 31.7, "lam_temp": 31.45, "motor_position": 28.11, "motor_speed": -10.04, "motor_power": -100.0, "motor_current": -1.14, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 288.0, "adc_0": 50.0, "adc_1": 50.0, "adc_2": 50.0, "adc_3": 50.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 41.91}}, {"shot": {"pressure": 0.0, "flow": 0, "weight": 41.9, "gravimetric_flow": 0.03, "setpoints": {"active": null}}, "time": 63792, "profile_time": 59185, "status": "retracting", "sensors": {"external_1": 93.43, "external_2": 93.14, "bar_up": 70.02, "bar_mid_up": 77.44, "bar_mid_down": 79.65, "bar_down": 78.62, "tube": 76.45, "motor_temp": 31.72, "lam_temp": 31.45, "motor_position": 26.81, "motor_speed": -10.03, "motor_power": -100.0, "motor_current": -1.14, "bandheater_power": 0.0, "bandheater_current": 0.03, "pressure_sensor": 288.0, "adc_0": 49.0, "adc_1": 49.0, "adc_2": 49.0, "adc_3": 49.0, "water_status": true, "motor_thermistor": "NaN", "weight_prediction": 41.91}}, {"shot": {"pressure": 0.0, "flow": 0, "weight": 41.91, "gravimetric_flow": 0.02, "setpoints": {"active": null}}, "time": 63924, "profile_time": 59185, "status": "retracting"}], "id": "8dbb4048-8141-4e82-9fa5-86f802b02096", "profile": {"name": "Slayer at Home", "id": "7646e33e-ab94-498a-9bdd-bd2be3fd081a", "author": "IronLapin", "author_id": "d9123a0a-d3d7-40fd-a548-b81376e43f23", "previous_authors": [{"name": "mimoja", "author_id": "d9123a0a-d3d7-40fd-a548-b81376e43f23", "profile_id": "0cdf18ca-d72e-4776-8e25-7b3279907dce"}], "display": {"image": "/api/v1/profile/image/c93fd8fd1cb4224fba0bf247a56cd4b7.png", "accentColor": "#A3D0B5", "shortDescription": "A slayer inspired profile", "description": "This profile is a slayer inspired profile with a long ifusion and a flat extraction modeled after the LM @ Home profile"}, "temperature": 92, "final_weight": 42, "variables": [{"name": "PreBrew Flow Rate", "key": "flow_PreBrew Flow Rate", "type": "flow", "value": 1.2}, {"name": "PreBrew Duration", "key": "time_PreBrew Duration", "type": "time", "value": 30}, {"name": "PreBrew exit weight", "key": "weight_PreBrew exit weight", "type": "weight", "value": 5}, {"name": "Max Pressure", "key": "pressure_Max Pressure", "type": "pressure", "value": 6}, {"name": "MaxFlowRate", "key": "flow_MaxFlowRate", "type": "flow", "value": 10.8}, {"name": "PreBrew pressure", "key": "pressure_PreBrew pressure", "type": "pressure", "value": 1.8}], "stages": [{"name": "PreBrew", "key": "flow_1", "type": "flow", "dynamics": {"points": [[0, "$flow_PreBrew Flow Rate"], ["$time_PreBrew Duration", "$flow_PreBrew Flow Rate"]], "over": "time", "interpolation": "linear"}, "exit_triggers": [{"type": "time", "value": "$time_PreBrew Duration", "relative": true, "comparison": ">="}, {"type": "weight", "value": "$weight_PreBrew exit weight", "relative": false, "comparison": ">="}], "limits": [{"type": "pressure", "value": "$pressure_PreBrew pressure"}]}, {"name": "Extraction", "key": "flow_2", "type": "flow", "dynamics": {"points": [[0, "$flow_MaxFlowRate"], [30, "$flow_MaxFlowRate"]], "over": "time", "interpolation": "linear"}, "exit_triggers": [], "limits": [{"type": "pressure", "value": "$pressure_Max Pressure"}]}], "last_changed": 1779584419.5591242}} \ No newline at end of file diff --git a/apps/server/utils/__init__.py b/apps/server/utils/__init__.py deleted file mode 100644 index 7a6720d3..00000000 --- a/apps/server/utils/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Utility functions for MeticAI server.""" diff --git a/apps/server/utils/file_utils.py b/apps/server/utils/file_utils.py deleted file mode 100644 index dab7dda9..00000000 --- a/apps/server/utils/file_utils.py +++ /dev/null @@ -1,76 +0,0 @@ -"""File utility functions for MeticAI server.""" - -import json -import os -import tempfile -from pathlib import Path -from typing import Any - - -def deep_convert_to_dict(obj: Any) -> Any: - """Recursively convert an object with __dict__ to a JSON-serializable dict. - - Handles nested objects, lists, and special types that can't be directly serialized. - - Args: - obj: The object to convert - - Returns: - A JSON-serializable representation of the object - """ - if obj is None: - return None - elif isinstance(obj, (str, int, float, bool)): - return obj - elif isinstance(obj, dict): - return {k: deep_convert_to_dict(v) for k, v in obj.items()} - elif isinstance(obj, (list, tuple)): - return [deep_convert_to_dict(item) for item in obj] - elif hasattr(obj, "__dict__"): - return { - k: deep_convert_to_dict(v) - for k, v in obj.__dict__.items() - if not k.startswith("_") - } - else: - # For other types, try to convert to string as fallback - try: - return str(obj) - except Exception: - return None - - -def atomic_write_json(filepath: Path, data: Any, indent: int = 2) -> None: - """Write JSON data to a file atomically to prevent corruption. - - Writes to a temporary file first, then renames it to the target path. - This ensures the file is never left in a partially-written state. - - Args: - filepath: Path to the target file - data: Data to write (must be JSON-serializable) - indent: Number of spaces for JSON indentation - - Raises: - Exception: If the write operation fails - """ - # Serialize the data first to catch any serialization errors before writing - json_str = json.dumps(data, indent=indent, default=str) - - # Write to a temporary file in the same directory - temp_fd, temp_path = tempfile.mkstemp( - dir=filepath.parent, prefix=f".{filepath.name}.", suffix=".tmp" - ) - try: - with os.fdopen(temp_fd, "w", encoding="utf-8") as f: - f.write(json_str) - # Atomic replace - os.replace(temp_path, filepath) - except Exception: - # Clean up temp file on failure - try: - os.unlink(temp_path) - except Exception: - # Ignore errors during cleanup (temp file may already be deleted) - pass - raise diff --git a/apps/server/utils/s6_env.py b/apps/server/utils/s6_env.py deleted file mode 100644 index 0e296961..00000000 --- a/apps/server/utils/s6_env.py +++ /dev/null @@ -1,44 +0,0 @@ -"""Helpers for interacting with the s6-overlay container environment.""" - -import logging -import os - -logger = logging.getLogger(__name__) - - -def update_s6_env(var_name: str, value: str, request_id: str = "") -> None: - """Write an environment variable to the s6 container environment directory. - - s6-overlay services started with ``#!/command/with-contenv sh`` read their - environment from ``/var/run/s6/container_environment/``. Updating a file - there ensures that the *next* service restart picks up the new value — - something that ``os.environ[…]`` alone cannot achieve because the FastAPI - process is separate from the s6 supervision tree. - - Silently skips when not running inside s6-overlay. - """ - s6_env_dir = "/var/run/s6/container_environment" - if not os.path.isdir(s6_env_dir): - logger.debug( - "s6 container environment dir not found (%s) — probably not running " - "inside s6-overlay; skipping", - s6_env_dir, - extra={"request_id": request_id}, - ) - return - try: - env_file = os.path.join(s6_env_dir, var_name) - with open(env_file, "w") as f: - f.write(value) - logger.info( - "Updated s6 container env %s", - var_name, - extra={"request_id": request_id}, - ) - except Exception as e: - logger.warning( - "Failed to update s6 container env %s: %s", - var_name, - e, - extra={"request_id": request_id}, - ) diff --git a/apps/server/utils/sanitization.py b/apps/server/utils/sanitization.py deleted file mode 100644 index 6f695e65..00000000 --- a/apps/server/utils/sanitization.py +++ /dev/null @@ -1,43 +0,0 @@ -"""Input sanitization functions for MeticAI server.""" - -import re - - -def sanitize_profile_name_for_filename(profile_name: str) -> str: - """Safely sanitize profile name for use in filenames. - - Args: - profile_name: The profile name to sanitize - - Returns: - A safe filename string - - Note: - This prevents path traversal attacks by removing/replacing - all potentially dangerous characters. - """ - # Remove any path separators and parent directory references - safe_name = profile_name.replace("/", "_").replace("\\", "_").replace("..", "_") - # Keep only alphanumeric, spaces, hyphens, and underscores - safe_name = re.sub(r"[^a-zA-Z0-9\s\-_]", "_", safe_name) - # Replace spaces with underscores and convert to lowercase - safe_name = safe_name.replace(" ", "_").lower() - # Limit length to prevent filesystem issues - return safe_name[:200] - - -def clean_profile_name(name: str) -> str: - """Clean markdown artifacts from profile name. - - Args: - name: The profile name to clean - - Returns: - Cleaned profile name without markdown formatting - """ - # Remove leading/trailing ** or * - cleaned = re.sub(r"^[\*]+\s*", "", name) - cleaned = re.sub(r"\s*[\*]+$", "", cleaned) - # Remove any remaining ** pairs - cleaned = cleaned.replace("**", "") - return cleaned.strip() diff --git a/apps/web/package.json b/apps/web/package.json index d029f595..108b237a 100644 --- a/apps/web/package.json +++ b/apps/web/package.json @@ -1,7 +1,7 @@ { "name": "meticai-espresso-pro", "private": true, - "version": "2.6.0-rc.1", + "version": "3.0.0-beta.1", "type": "module", "scripts": { "dev": "vite", diff --git a/docker-compose.homeassistant.yml b/docker-compose.homeassistant.yml deleted file mode 100644 index e89090fd..00000000 --- a/docker-compose.homeassistant.yml +++ /dev/null @@ -1,29 +0,0 @@ -# ============================================================================== -# Metic Home Assistant Integration -# ============================================================================== -# Exposes the MQTT broker so Home Assistant (or other MQTT clients) can -# subscribe to real-time machine telemetry. -# -# Usage: -# docker compose -f docker-compose.yml -f docker-compose.homeassistant.yml up -d -# -# Then in Home Assistant → Settings → Devices & Services → Add Integration: -# - Integration: MQTT -# - Broker: (e.g. 192.168.50.22) -# - Port: 1883 -# - No username/password required -# -# Available MQTT Topics: -# meticulous/status – Machine connection state -# meticulous/sensors – Real-time sensor data (temperature, pressure, flow, weight) -# meticulous/shot/active – Active shot state -# meticulous/shot/history – Shot completion events -# ============================================================================== - -services: - meticai: - ports: - - "1883:1883" # MQTT broker (for Home Assistant / external clients) - volumes: - - ./docker/mosquitto-external.conf:/etc/mosquitto/mosquitto.conf:ro - diff --git a/docker-compose.yml b/docker-compose.yml index c4cf1e98..2457caeb 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,7 +1,7 @@ # ============================================================================== # Metic Docker Compose Configuration # ============================================================================== -# Single unified container for all Metic services (v2.0). +# Single unified container running the Bun server (web UI + API + telemetry). # # Usage: # docker compose up -d @@ -9,7 +9,6 @@ # Optional add-ons: # docker compose -f docker-compose.yml -f docker-compose.tailscale.yml up -d # docker compose -f docker-compose.yml -f docker-compose.watchtower.yml up -d -# docker compose -f docker-compose.yml -f docker-compose.homeassistant.yml up -d # ============================================================================== services: @@ -18,17 +17,19 @@ services: container_name: meticai restart: unless-stopped ports: - - "3550:3550" # Web UI (nginx proxy) + - "3550:3550" # Web UI + API environment: - GEMINI_API_KEY=${GEMINI_API_KEY:-} - GEMINI_MODEL=${GEMINI_MODEL:-} - METICULOUS_IP=${METICULOUS_IP:-} - DATA_DIR=/data + # Storage backend for /data: "json" (flat files, default) or "sqlite". + - STORAGE_BACKEND=${STORAGE_BACKEND:-json} volumes: - meticai-data:/data - - mosquitto-data:/var/lib/mosquitto healthcheck: - test: ["CMD", "curl", "-sf", "http://localhost:3550/health"] + # The distroless image has no shell/curl; the binary self-probes /health. + test: ["CMD", "/app/metic", "healthcheck"] interval: 30s timeout: 10s retries: 3 @@ -49,5 +50,3 @@ services: volumes: meticai-data: name: meticai-data - mosquitto-data: - name: mosquitto-data diff --git a/docker/gemini-settings.json b/docker/gemini-settings.json deleted file mode 100644 index f116c018..00000000 --- a/docker/gemini-settings.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "mcpServers": { - "meticulous": { - "httpUrl": "http://localhost:8080/mcp", - "trust": true - } - } -} diff --git a/docker/mosquitto-external.conf b/docker/mosquitto-external.conf deleted file mode 100644 index 65d722a4..00000000 --- a/docker/mosquitto-external.conf +++ /dev/null @@ -1,20 +0,0 @@ -# ============================================================================== -# MeticAI Mosquitto MQTT Broker Configuration (External Access) -# ============================================================================== -# Used when Home Assistant or other external MQTT clients need to connect. -# Binds to all interfaces so the published port is reachable from the host. -# ============================================================================== - -# Listen on all interfaces (required for Docker port publishing) -listener 1883 0.0.0.0 - -# No authentication required (local network only) -allow_anonymous true - -# No persistence needed (bridge republishes state on reconnect) -persistence false - -# Logging to stderr for s6-overlay capture -log_dest stderr -log_type error -log_type warning diff --git a/docker/mosquitto.conf b/docker/mosquitto.conf deleted file mode 100644 index 0159cde2..00000000 --- a/docker/mosquitto.conf +++ /dev/null @@ -1,21 +0,0 @@ -# ============================================================================== -# MeticAI Mosquitto MQTT Broker Configuration -# ============================================================================== -# Minimal configuration for the internal MQTT broker. -# Bound to localhost only — NOT exposed outside the container. -# Used by the meticulous-bridge to relay machine telemetry via MQTT. -# ============================================================================== - -# Listen on localhost only (internal container use) -listener 1883 127.0.0.1 - -# No authentication required (internal-only broker) -allow_anonymous true - -# No persistence needed (bridge republishes state on reconnect) -persistence false - -# Logging to stderr for s6-overlay capture -log_dest stderr -log_type error -log_type warning diff --git a/docker/nginx.conf b/docker/nginx.conf deleted file mode 100644 index 2c492c72..00000000 --- a/docker/nginx.conf +++ /dev/null @@ -1,185 +0,0 @@ -# ============================================================================== -# Metic nginx Configuration -# ============================================================================== -# Serves the web frontend and proxies API requests to the server. -# -# Port 3550: Main entry point -# - /api/* -> server (port 8000) -# - /* -> static frontend files -# ============================================================================== - -user www-data; -worker_processes auto; -pid /run/nginx.pid; - -events { - worker_connections 1024; -} - -http { - include /etc/nginx/mime.types; - default_type application/octet-stream; - - # Logging - log_format main '$remote_addr - $remote_user [$time_local] "$request" ' - '$status $body_bytes_sent "$http_referer" ' - '"$http_user_agent" "$http_x_forwarded_for"'; - - access_log /var/log/nginx/access.log main; - error_log /var/log/nginx/error.log warn; - - # Performance - sendfile on; - tcp_nopush on; - tcp_nodelay on; - keepalive_timeout 65; - types_hash_max_size 2048; - - # Allow large file uploads (HEIC images can be 10MB+) - client_max_body_size 25M; - - # Gzip compression - gzip on; - gzip_vary on; - gzip_min_length 1024; - gzip_proxied any; - gzip_types text/plain text/css text/xml text/javascript - application/json application/javascript application/xml - application/xml+rss image/svg+xml; - - # Upstream servers - upstream server { - server 127.0.0.1:8000; - keepalive 32; - } - - upstream mcp { - server 127.0.0.1:8080; - keepalive 16; - } - - server { - listen 3550; - server_name _; - - root /var/www/html; - index index.html; - - # Security headers - add_header X-Frame-Options "SAMEORIGIN" always; - add_header X-Content-Type-Options "nosniff" always; - add_header X-XSS-Protection "1; mode=block" always; - add_header Referrer-Policy "strict-origin-when-cross-origin" always; - - # API proxy to server - location /api/ { - proxy_pass http://server; - proxy_http_version 1.1; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header X-Forwarded-Proto $scheme; - proxy_set_header Connection ""; - - # Timeouts for long-running AI operations - proxy_connect_timeout 60s; - proxy_send_timeout 600s; - proxy_read_timeout 600s; - - # SSE support (for streaming responses) - proxy_buffering off; - proxy_cache off; - } - - # Legacy coffee analysis endpoints (no /api prefix) - location ~ ^/(analyze_coffee|analyze_and_profile)$ { - proxy_pass http://server; - proxy_http_version 1.1; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header X-Forwarded-Proto $scheme; - proxy_set_header Connection ""; - - proxy_connect_timeout 60s; - proxy_send_timeout 600s; - proxy_read_timeout 600s; - - proxy_buffering off; - proxy_cache off; - } - - # MCP server proxy (internal use) - location /mcp/ { - proxy_pass http://mcp/; - proxy_http_version 1.1; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header Connection ""; - } - - # WebSocket support for HMR in development - location /ws { - proxy_pass http://server; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection "upgrade"; - proxy_set_header Host $host; - } - - # WebSocket proxy for live telemetry (/api/ws/live) - location /api/ws/ { - proxy_pass http://server; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection "upgrade"; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_read_timeout 86400s; - proxy_send_timeout 86400s; - } - - # FastAPI interactive docs (Swagger UI, ReDoc, OpenAPI schema) - location ~ ^/(docs|redoc|openapi\.json)$ { - proxy_pass http://server; - proxy_http_version 1.1; - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header Connection ""; - } - - # Static files - SPA routing - location / { - try_files $uri $uri/ /index.html; - - # Never cache index.html — ensures fresh builds are picked up - location = /index.html { - add_header Cache-Control "no-cache, no-store, must-revalidate"; - add_header Pragma "no-cache"; - expires 0; - } - - # Cache static assets - location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg|woff|woff2)$ { - expires 1y; - add_header Cache-Control "public, immutable"; - } - } - - # Health check endpoint - proxy to backend for real status - location = /health { - access_log off; - proxy_pass http://server/api/health; - proxy_http_version 1.1; - proxy_set_header Connection ""; - } - - # Disable access to hidden files - location ~ /\. { - deny all; - } - } -} diff --git a/docker/s6-rc.d/data-migrate/type b/docker/s6-rc.d/data-migrate/type deleted file mode 100644 index bdd22a18..00000000 --- a/docker/s6-rc.d/data-migrate/type +++ /dev/null @@ -1 +0,0 @@ -oneshot diff --git a/docker/s6-rc.d/data-migrate/up b/docker/s6-rc.d/data-migrate/up deleted file mode 100644 index 516db96c..00000000 --- a/docker/s6-rc.d/data-migrate/up +++ /dev/null @@ -1 +0,0 @@ -/etc/s6-overlay/scripts/data-migrate diff --git a/docker/s6-rc.d/mcp-server/run b/docker/s6-rc.d/mcp-server/run deleted file mode 100755 index 4e2f32e8..00000000 --- a/docker/s6-rc.d/mcp-server/run +++ /dev/null @@ -1,12 +0,0 @@ -#!/command/with-contenv sh - -# MCP server provides Meticulous machine tools for external MCP clients (Claude Desktop, etc.) -# External clients may use their own LLM/API key — MeticAI's GEMINI_API_KEY is not required. -# Core profile creation uses the Python Gemini SDK directly (#214). - -cd /app/mcp-server -export PYTHONPATH=/app/mcp-server/meticulous-mcp/src -export FASTMCP_HOST=0.0.0.0 -export FASTMCP_PORT=8080 -export METICULOUS_API_URL="http://${METICULOUS_IP:-meticulous.local}" -exec python run_http.py diff --git a/docker/s6-rc.d/mcp-server/type b/docker/s6-rc.d/mcp-server/type deleted file mode 100644 index 5883cff0..00000000 --- a/docker/s6-rc.d/mcp-server/type +++ /dev/null @@ -1 +0,0 @@ -longrun diff --git a/docker/s6-rc.d/meticulous-bridge/dependencies b/docker/s6-rc.d/meticulous-bridge/dependencies deleted file mode 100644 index 7abacc76..00000000 --- a/docker/s6-rc.d/meticulous-bridge/dependencies +++ /dev/null @@ -1 +0,0 @@ -mosquitto diff --git a/docker/s6-rc.d/meticulous-bridge/run b/docker/s6-rc.d/meticulous-bridge/run deleted file mode 100755 index 30448530..00000000 --- a/docker/s6-rc.d/meticulous-bridge/run +++ /dev/null @@ -1,3 +0,0 @@ -#!/command/with-contenv sh -cd /app/bridge -exec python start_bridge.py diff --git a/docker/s6-rc.d/meticulous-bridge/type b/docker/s6-rc.d/meticulous-bridge/type deleted file mode 100644 index 5883cff0..00000000 --- a/docker/s6-rc.d/meticulous-bridge/type +++ /dev/null @@ -1 +0,0 @@ -longrun diff --git a/docker/s6-rc.d/mosquitto/run b/docker/s6-rc.d/mosquitto/run deleted file mode 100755 index fa7cbf16..00000000 --- a/docker/s6-rc.d/mosquitto/run +++ /dev/null @@ -1,2 +0,0 @@ -#!/command/with-contenv sh -exec mosquitto -c /etc/mosquitto/mosquitto.conf diff --git a/docker/s6-rc.d/mosquitto/type b/docker/s6-rc.d/mosquitto/type deleted file mode 100644 index 5883cff0..00000000 --- a/docker/s6-rc.d/mosquitto/type +++ /dev/null @@ -1 +0,0 @@ -longrun diff --git a/docker/s6-rc.d/nginx/dependencies b/docker/s6-rc.d/nginx/dependencies deleted file mode 100644 index 120d8804..00000000 --- a/docker/s6-rc.d/nginx/dependencies +++ /dev/null @@ -1,2 +0,0 @@ -server -mcp-server diff --git a/docker/s6-rc.d/nginx/run b/docker/s6-rc.d/nginx/run deleted file mode 100755 index 06c4088c..00000000 --- a/docker/s6-rc.d/nginx/run +++ /dev/null @@ -1,2 +0,0 @@ -#!/command/execlineb -P -nginx -g "daemon off;" diff --git a/docker/s6-rc.d/nginx/type b/docker/s6-rc.d/nginx/type deleted file mode 100644 index 5883cff0..00000000 --- a/docker/s6-rc.d/nginx/type +++ /dev/null @@ -1 +0,0 @@ -longrun diff --git a/docker/s6-rc.d/server/dependencies b/docker/s6-rc.d/server/dependencies deleted file mode 100644 index a9181738..00000000 --- a/docker/s6-rc.d/server/dependencies +++ /dev/null @@ -1 +0,0 @@ -data-migrate diff --git a/docker/s6-rc.d/server/run b/docker/s6-rc.d/server/run deleted file mode 100755 index 7d5f4512..00000000 --- a/docker/s6-rc.d/server/run +++ /dev/null @@ -1,3 +0,0 @@ -#!/command/with-contenv sh -cd /app/server -exec uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1 diff --git a/docker/s6-rc.d/server/type b/docker/s6-rc.d/server/type deleted file mode 100644 index 5883cff0..00000000 --- a/docker/s6-rc.d/server/type +++ /dev/null @@ -1 +0,0 @@ -longrun diff --git a/docker/s6-rc.d/user/contents.d/data-migrate b/docker/s6-rc.d/user/contents.d/data-migrate deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/s6-rc.d/user/contents.d/mcp-server b/docker/s6-rc.d/user/contents.d/mcp-server deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/s6-rc.d/user/contents.d/meticulous-bridge b/docker/s6-rc.d/user/contents.d/meticulous-bridge deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/s6-rc.d/user/contents.d/mosquitto b/docker/s6-rc.d/user/contents.d/mosquitto deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/s6-rc.d/user/contents.d/nginx b/docker/s6-rc.d/user/contents.d/nginx deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/s6-rc.d/user/contents.d/server b/docker/s6-rc.d/user/contents.d/server deleted file mode 100644 index e69de29b..00000000 diff --git a/docker/scripts/data-migrate.sh b/docker/scripts/data-migrate.sh deleted file mode 100644 index 12561735..00000000 --- a/docker/scripts/data-migrate.sh +++ /dev/null @@ -1,74 +0,0 @@ -#!/bin/sh -# ============================================================================== -# MeticAI — Legacy Data Migration (v1.x → v2.0) -# ============================================================================== -# Called by the s6-rc data-migrate oneshot on container boot. -# If /legacy-data contains files from a v1.x host-directory install, -# they are copied into the Docker-managed /data volume. -# -# Idempotent: skips files that already exist in /data. -# ============================================================================== - -LEGACY="/legacy-data" -TARGET="/data" -MARKER="$TARGET/.migrated-from-v1" - -# --- Guard: nothing to do --------------------------------------------------- -if [ ! -d "$LEGACY" ]; then - echo "data-migrate: /legacy-data not mounted — nothing to do" - exit 0 -fi - -# Check if there are any real files (not just empty dir Docker creates) -file_count=$(find "$LEGACY" -maxdepth 1 \( -type f -o -type d -mindepth 1 \) 2>/dev/null | wc -l) -if [ "$file_count" -eq 0 ]; then - echo "data-migrate: /legacy-data is empty — nothing to do" - exit 0 -fi - -# If we already migrated, skip -if [ -f "$MARKER" ]; then - echo "data-migrate: already migrated — skipping" - exit 0 -fi - -# --- Migrate ----------------------------------------------------------------- -echo "data-migrate: found legacy v1.x data — migrating to Docker volume..." - -migrated=0 -skipped=0 -failed=0 - -for src in "$LEGACY"/*; do - [ -e "$src" ] || continue - name=$(basename "$src") - - # Skip files/dirs that are not useful - case "$name" in - __pycache__|*.pyc|*.log|.DS_Store) continue ;; - esac - - dst="$TARGET/$name" - - if [ -e "$dst" ]; then - skipped=$((skipped + 1)) - else - if cp -a "$src" "$dst" 2>/dev/null; then - migrated=$((migrated + 1)) - echo "data-migrate: copied $name" - else - echo "data-migrate: WARN: failed to copy $name" - failed=$((failed + 1)) - fi - fi -done - -echo "data-migrate: complete — migrated=$migrated skipped=$skipped failed=$failed" - -if [ "$failed" -gt 0 ]; then - echo "data-migrate: ERROR: $failed item(s) failed to copy — skipping marker to allow retry on next boot" - exit 1 -fi - -# Leave a breadcrumb so we don't re-run -date -u '+%Y-%m-%dT%H:%M:%SZ' > "$MARKER" diff --git a/scripts/addons.sh b/scripts/addons.sh index 59b450e7..6f3f5e2f 100755 --- a/scripts/addons.sh +++ b/scripts/addons.sh @@ -169,11 +169,9 @@ print_menu() { local wt="[ ]" local ts="[ ]" - local ha="[ ]" compose_has_file "$compose_string" "docker-compose.watchtower.yml" && wt="[x]" compose_has_file "$compose_string" "docker-compose.tailscale.yml" && ts="[x]" - compose_has_file "$compose_string" "docker-compose.homeassistant.yml" && ha="[x]" echo "" echo "Metic Addon Manager" @@ -182,7 +180,6 @@ print_menu() { echo "" echo "1. $wt Watchtower (auto-updates)" echo "2. $ts Tailscale (remote access)" - echo "3. $ha Home Assistant MQTT" echo "" echo "r. Refresh status" echo "q. Quit" @@ -215,16 +212,6 @@ toggle_tailscale() { fi } -toggle_homeassistant() { - local compose_string="$1" - if compose_has_file "$compose_string" "docker-compose.homeassistant.yml"; then - echo "$(remove_compose_file "$compose_string" "docker-compose.homeassistant.yml")" - else - download_if_missing "docker-compose.homeassistant.yml" - echo "$(add_compose_file "$compose_string" "docker-compose.homeassistant.yml")" - fi -} - main() { ensure_tools find_install_dir @@ -246,10 +233,6 @@ main() { compose_string="$(toggle_tailscale "$compose_string")" restart_stack "$compose_string" ;; - 3) - compose_string="$(toggle_homeassistant "$compose_string")" - restart_stack "$compose_string" - ;; r|R) load_env_file compose_string="$(get_compose_files)" diff --git a/scripts/install.sh b/scripts/install.sh index 566ead15..b31fbf50 100755 --- a/scripts/install.sh +++ b/scripts/install.sh @@ -18,7 +18,6 @@ # ENABLE_TAILSCALE - Set to "y" to enable Tailscale # TAILSCALE_AUTHKEY - Tailscale auth key # ENABLE_WATCHTOWER - Set to "y" to enable Watchtower -# ENABLE_HA - Set to "y" to enable Home Assistant MQTT # REPO_BRANCH - GitHub branch to download from (default: main) # # Branch testing: @@ -511,13 +510,7 @@ HAS_WATCHTOWER_COMPOSE=false if curl -fsSL "${REPO_URL}/docker-compose.watchtower.yml" -o docker-compose.watchtower.yml 2>/dev/null; then HAS_WATCHTOWER_COMPOSE=true fi -HAS_HA_COMPOSE=false -if curl -fsSL "${REPO_URL}/docker-compose.homeassistant.yml" -o docker-compose.homeassistant.yml 2>/dev/null; then - HAS_HA_COMPOSE=true -fi curl -fsSL "${REPO_URL}/tailscale-serve.json" -o tailscale-serve.json 2>/dev/null || true -mkdir -p docker -curl -fsSL "${REPO_URL}/docker/mosquitto-external.conf" -o docker/mosquitto-external.conf 2>/dev/null || true log_success "Compose files downloaded" @@ -657,20 +650,6 @@ else log_info "Watchtower: not available (compose file not found)" fi -if [[ "$HAS_HA_COMPOSE" == "true" ]]; then - if [[ "$METICAI_NON_INTERACTIVE" != "true" ]]; then - read -p "Enable Home Assistant MQTT integration? (y/N): " ENABLE_HA < /dev/tty - fi - if [[ "$ENABLE_HA" =~ ^[Yy]$ ]]; then - COMPOSE_FILES="$COMPOSE_FILES -f docker-compose.homeassistant.yml" - log_success "Home Assistant MQTT enabled (port 1883 exposed)" - else - log_info "Home Assistant MQTT: skipped" - fi -else - log_info "Home Assistant MQTT: not available (compose file not found)" -fi - # ============================================================================== # Write configuration # ============================================================================== From 5d2eea10c9b49d83c350e304acca5aedf3476670 Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 23:40:54 +0200 Subject: [PATCH 45/62] fix: remove orphaned MQTT bridge and MCP server UI in proxy mode The MQTT bridge and MCP server backends were deleted in the 3.0.0 Phase 7 cutover, but PROXY_FLAGS still advertised bridgeStatus and mcpServer as enabled. In proxy mode this surfaced a dead MQTT Bridge settings section (Home Assistant links, addon snippets) and let /api/bridge/status leak a 404 notFound, breaking dual-runtime parity with native mode where both flags are already false. Turn both flags off in every mode, delete the now-unreachable MQTT Bridge settings section plus its dead imports, snippet constants, copy helper and mqttEnabled settings field, and drop the six orphaned i18n keys across all 6 locales. Update the flag and parity tests to classify both features as removed (disabled everywhere). Verified in-browser against the live machine: Settings renders with no MQTT Bridge section, no Home Assistant references, and zero app-initiated /api/bridge calls. Full web suite green (1036 tests). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/public/locales/de/translation.json | 6 - apps/web/public/locales/en/translation.json | 6 - apps/web/public/locales/es/translation.json | 6 - apps/web/public/locales/fr/translation.json | 6 - apps/web/public/locales/it/translation.json | 6 - apps/web/public/locales/sv/translation.json | 6 - apps/web/src/components/SettingsView.tsx | 117 +------------------- apps/web/src/lib/featureFlags.test.ts | 10 +- apps/web/src/lib/featureFlags.ts | 4 +- apps/web/src/lib/featureParity.test.ts | 33 +++--- 10 files changed, 28 insertions(+), 172 deletions(-) diff --git a/apps/web/public/locales/de/translation.json b/apps/web/public/locales/de/translation.json index f1df25ac..eb44ff46 100644 --- a/apps/web/public/locales/de/translation.json +++ b/apps/web/public/locales/de/translation.json @@ -512,8 +512,6 @@ "geminiModelDescriptionDynamic": "Modelle von Google AI geladen. Wählen Sie das gewünschte Modell.", "modelsLoading": "Modelle werden geladen…", "modelDefault": "Standardmodell", - "mqttEnabled": "MQTT-Brücke", - "mqttEnabledDescription": "Echtzeit-Maschinentelemetrie über MQTT. Betreibt das Live-Dashboard.", "settingsSaved": "Einstellungen erfolgreich gespeichert!", "settingsSaveFailed": "Einstellungen konnten nicht gespeichert werden", "changelog": "Änderungsprotokoll", @@ -614,9 +612,6 @@ }, "version": "Version", "footer": "Metic • Mit ❤️ für Kaffeeliebhaber entwickelt", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Home Assistant Anleitung", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "KI-Einstellungen", "versionAndChangelog": "Version & Änderungsprotokoll", - "mqttBridge": "MQTT-Bridge", "disclaimer": "Metic ist ein unabhängiges Open-Source-Projekt und ist nicht mit Meticulous Home, dem Hersteller der Meticulous Espressomaschine, verbunden, von diesem unterstützt oder autorisiert.", "localModelDownloadKeepOpen": "Lass die App geöffnet und bleibe auf diesem Bildschirm, bis der Download abgeschlossen ist." }, diff --git a/apps/web/public/locales/en/translation.json b/apps/web/public/locales/en/translation.json index 04f25263..f01148ba 100644 --- a/apps/web/public/locales/en/translation.json +++ b/apps/web/public/locales/en/translation.json @@ -512,11 +512,6 @@ "geminiModelDescriptionDynamic": "Models loaded from Google AI. Select which model to use.", "modelsLoading": "Loading models…", "modelDefault": "Default model", - "mqttEnabled": "MQTT Bridge", - "mqttEnabledDescription": "Real-time machine telemetry via MQTT. Powers the live Control Center dashboard.", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Home Assistant Guide", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "AI Settings", "versionAndChangelog": "Version & Changelog", - "mqttBridge": "MQTT Bridge", "disclaimer": "Metic is an independent, open-source project and is not affiliated with, endorsed by, or connected to Meticulous Home, the manufacturer of the Meticulous espresso machine.", "localModelDownloadKeepOpen": "Keep the app open and stay on this screen until the download finishes." }, diff --git a/apps/web/public/locales/es/translation.json b/apps/web/public/locales/es/translation.json index e46c18ba..f95e131e 100644 --- a/apps/web/public/locales/es/translation.json +++ b/apps/web/public/locales/es/translation.json @@ -512,8 +512,6 @@ "geminiModelDescriptionDynamic": "Modelos cargados desde Google AI. Seleccione qué modelo utilizar.", "modelsLoading": "Cargando modelos…", "modelDefault": "Modelo predeterminado", - "mqttEnabled": "Puente MQTT", - "mqttEnabledDescription": "Telemetría en tiempo real de la máquina vía MQTT. Alimenta el panel de control en vivo.", "settingsSaved": "¡Configuración guardada exitosamente!", "settingsSaveFailed": "Error al guardar configuración", "changelog": "Registro de cambios", @@ -614,9 +612,6 @@ }, "version": "Versión", "footer": "Metic • Construido con ❤️ para amantes del café", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Guía de Home Assistant", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "Ajustes de IA", "versionAndChangelog": "Versión y registro de cambios", - "mqttBridge": "Puente MQTT", "disclaimer": "Metic es un proyecto independiente de código abierto y no está afiliado, respaldado ni conectado con Meticulous Home, el fabricante de la máquina de espresso Meticulous.", "localModelDownloadKeepOpen": "Mantén la app abierta y permanece en esta pantalla hasta que finalice la descarga." }, diff --git a/apps/web/public/locales/fr/translation.json b/apps/web/public/locales/fr/translation.json index 6b4c0ce6..4edb5568 100644 --- a/apps/web/public/locales/fr/translation.json +++ b/apps/web/public/locales/fr/translation.json @@ -512,8 +512,6 @@ "geminiModelDescriptionDynamic": "Modèles chargés depuis Google AI. Sélectionnez le modèle à utiliser.", "modelsLoading": "Chargement des modèles…", "modelDefault": "Modèle par défaut", - "mqttEnabled": "Pont MQTT", - "mqttEnabledDescription": "Télémétrie machine en temps réel via MQTT. Alimente le tableau de bord en direct.", "settingsSaved": "Paramètres enregistrés avec succès !", "settingsSaveFailed": "Échec de l'enregistrement des paramètres", "changelog": "Journal des modifications", @@ -614,9 +612,6 @@ }, "version": "Version", "footer": "Metic • Conçu avec ❤️ pour les amateurs de café", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Guide Home Assistant", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "Paramètres IA", "versionAndChangelog": "Version et journal des modifications", - "mqttBridge": "Pont MQTT", "disclaimer": "Metic est un projet open source indépendant et n'est pas affilié, soutenu ou lié à Meticulous Home, le fabricant de la machine à espresso Meticulous.", "localModelDownloadKeepOpen": "Garde l'application ouverte et reste sur cet écran jusqu'à la fin du téléchargement." }, diff --git a/apps/web/public/locales/it/translation.json b/apps/web/public/locales/it/translation.json index c34ed55f..b4715b84 100644 --- a/apps/web/public/locales/it/translation.json +++ b/apps/web/public/locales/it/translation.json @@ -512,8 +512,6 @@ "geminiModelDescriptionDynamic": "Modelli caricati da Google AI. Seleziona il modello da utilizzare.", "modelsLoading": "Caricamento modelli…", "modelDefault": "Modello predefinito", - "mqttEnabled": "Bridge MQTT", - "mqttEnabledDescription": "Telemetria macchina in tempo reale via MQTT. Alimenta la dashboard di controllo dal vivo.", "settingsSaved": "Impostazioni salvate con successo!", "settingsSaveFailed": "Impossibile salvare le impostazioni", "changelog": "Registro modifiche", @@ -614,9 +612,6 @@ }, "version": "Versione", "footer": "Metic • Realizzato con ❤️ per gli amanti del caffè", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Guida Home Assistant", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "Impostazioni IA", "versionAndChangelog": "Versione e registro modifiche", - "mqttBridge": "Bridge MQTT", "disclaimer": "Metic è un progetto open source indipendente e non è affiliato, approvato o collegato a Meticulous Home, il produttore della macchina espresso Meticulous.", "localModelDownloadKeepOpen": "Tieni l'app aperta e resta su questa schermata fino al termine del download." }, diff --git a/apps/web/public/locales/sv/translation.json b/apps/web/public/locales/sv/translation.json index ff45d762..eabd408a 100644 --- a/apps/web/public/locales/sv/translation.json +++ b/apps/web/public/locales/sv/translation.json @@ -512,8 +512,6 @@ "geminiModelDescriptionDynamic": "Modeller hämtade från Google AI. Välj vilken modell som ska användas.", "modelsLoading": "Läser in modeller…", "modelDefault": "Standardmodell", - "mqttEnabled": "MQTT-brygga", - "mqttEnabledDescription": "Realtidstelemetri från maskinen via MQTT. Driver den direkta kontrollpanelen.", "settingsSaved": "Inställningar sparade framgångsrikt!", "settingsSaveFailed": "Misslyckades spara inställningar", "changelog": "Ändringslogg", @@ -614,9 +612,6 @@ }, "version": "Version", "footer": "Metic • Byggd med ❤️ för kaffeälskare", - "addToHomeAssistant": "Add to Home Assistant", - "homeAssistantDescription": "Connect Home Assistant to Metic's MQTT broker to auto-discover your Meticulous machine (24 sensors + 11 commands). Point HA to this server's IP on port 1883.", - "homeAssistantGuide": "Home Assistant-guide", "poweredBy": "Powered by", "credits": { "pyMeticulous": "Official Python client for the Meticulous API", @@ -636,7 +631,6 @@ "geminiModel31FlashLite": "Gemini 3.1 Flash Lite", "aiSettings": "AI-inställningar", "versionAndChangelog": "Version och ändringslogg", - "mqttBridge": "MQTT-brygga", "disclaimer": "Metic är ett oberoende open source-projekt och är inte anslutet till, godkänt av eller kopplat till Meticulous Home, tillverkaren av Meticulous espressomaskinen.", "localModelDownloadKeepOpen": "Håll appen öppen och stanna på den här skärmen tills nedladdningen är klar." }, diff --git a/apps/web/src/components/SettingsView.tsx b/apps/web/src/components/SettingsView.tsx index 2d3c4caa..cde28203 100644 --- a/apps/web/src/components/SettingsView.tsx +++ b/apps/web/src/components/SettingsView.tsx @@ -23,7 +23,6 @@ import { Globe, WifiHigh, WifiSlash, - House, Key, Link as LinkIcon, Copy, @@ -83,7 +82,6 @@ interface Settings { meticulousIp: string authorName: string geminiModel?: string - mqttEnabled?: boolean geminiApiKeyMasked?: boolean geminiApiKeyConfigured?: boolean } @@ -124,8 +122,6 @@ interface TailscaleStatus { // Maximum expected update duration (3 minutes) const MAX_UPDATE_DURATION = 180000 const PROGRESS_UPDATE_INTERVAL = 500 -const METICULOUS_ADDON_INSTALL_SNIPPET = 'docker exec -it meticai bash -lc "cd /app/meticulous-addon && python3 -m pip install -r requirements.txt && python3 -m pip install ."' -const METICULOUS_ADDON_UPDATE_SNIPPET = 'docker exec -it meticai bash -lc "cd /app/meticulous-addon && git pull --ff-only && python3 -m pip install ."' function normalizeMachineUrl(value: string): string | null { const trimmed = value.trim() @@ -158,8 +154,7 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB geminiApiKey: '', meticulousIp: '', authorName: '', - geminiModel: 'gemini-2.5-flash', - mqttEnabled: true + geminiModel: 'gemini-2.5-flash' }) const [aiProvider, setAiProviderState] = useState(getActiveHostedProviderId()) const [aiMode, setAiModeState] = useState(getAIMode()) @@ -294,7 +289,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB meticulousIp: new URL(getDefaultMachineUrl()).hostname, authorName: localStorage.getItem(STORAGE_KEYS.AUTHOR_NAME) || '', geminiModel: localStorage.getItem(modelKey) || defaultModel, - mqttEnabled: true, geminiApiKeyMasked: false, geminiApiKeyConfigured: Boolean(storedKey.trim()), }) @@ -307,7 +301,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB meticulousIp: new URL(getDefaultMachineUrl()).hostname, authorName: localStorage.getItem(STORAGE_KEYS.AUTHOR_NAME) || '', geminiModel: localStorage.getItem(modelKey) || defaultModel, - mqttEnabled: true, geminiApiKeyMasked: false, geminiApiKeyConfigured: Boolean(fallbackKey.trim()), }) @@ -326,7 +319,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB meticulousIp: data.meticulousIp || '', authorName: data.authorName || '', geminiModel: data.geminiModel || 'gemini-2.5-flash', - mqttEnabled: data.mqttEnabled !== false, geminiApiKeyMasked: data.geminiApiKeyMasked || false, geminiApiKeyConfigured: data.geminiApiKeyConfigured || false }) @@ -532,7 +524,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB const payload: Record = { authorName: nextSettings.authorName, meticulousIp: nextSettings.meticulousIp, - mqttEnabled: nextSettings.mqttEnabled, geminiModel: nextSettings.geminiModel, aiProvider, } @@ -706,14 +697,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB } } - const handleCopyText = async (value: string) => { - try { - await navigator.clipboard.writeText(value) - } catch (err) { - console.error('Failed to copy snippet:', err) - } - } - const handleUpdate = async () => { setUpdateProgress(0) @@ -1433,104 +1416,6 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB - {/* MQTT Bridge */} - {hasFeature('bridgeStatus') && e.stopPropagation()} - > - - - } - > -
-
- -

- {t('settings.mqttEnabledDescription')} -

-
- { - setSettings(prev => { - const next = { ...prev, mqttEnabled: checked as boolean } - debouncedSave(next) - return next - }) - if (checked) playToggleOn(); else playToggleOff() - }} - /> -
- {settings.mqttEnabled && ( -
- -

- {t('settings.homeAssistantDescription')} -

-
- )} - -
-
-

Meticulous Add-on

- - GitHub - -
-

- Copy these snippets to install or update the addon manually in the running container. -

-
- - {METICULOUS_ADDON_INSTALL_SNIPPET} - -
-
- - {METICULOUS_ADDON_UPDATE_SNIPPET} - -
-
- } - {/* Appearance */} {(onToggleBlobs !== undefined || onToggleTheme !== undefined) && ( diff --git a/apps/web/src/lib/featureFlags.test.ts b/apps/web/src/lib/featureFlags.test.ts index a87c123f..1adf603a 100644 --- a/apps/web/src/lib/featureFlags.test.ts +++ b/apps/web/src/lib/featureFlags.test.ts @@ -30,15 +30,15 @@ describe('featureFlags', () => { // Proxy mode // ------------------------------------------------------------------- describe('proxy mode', () => { - it('should enable all backend-dependent features', () => { + it('should enable retained backend-dependent features and disable removed ones', () => { const flags = getFeatureFlags() expect(flags.machineDiscovery).toBe(true) expect(flags.scheduledShots).toBe(true) expect(flags.systemManagement).toBe(true) expect(flags.tailscaleConfig).toBe(true) - expect(flags.mcpServer).toBe(true) + expect(flags.mcpServer).toBe(false) expect(flags.cloudSync).toBe(true) - expect(flags.bridgeStatus).toBe(true) + expect(flags.bridgeStatus).toBe(false) expect(flags.watchtowerUpdate).toBe(true) }) @@ -241,12 +241,12 @@ describe('featureFlags', () => { expect(getFeatureFlags()).toMatchInlineSnapshot(` { "aiFeatures": true, - "bridgeStatus": true, + "bridgeStatus": false, "cloudSync": true, "dialIn": true, "liveTelemetry": true, "machineDiscovery": true, - "mcpServer": true, + "mcpServer": false, "pourOver": true, "profileManagement": true, "pwaInstall": false, diff --git a/apps/web/src/lib/featureFlags.ts b/apps/web/src/lib/featureFlags.ts index 04213617..88793601 100644 --- a/apps/web/src/lib/featureFlags.ts +++ b/apps/web/src/lib/featureFlags.ts @@ -48,7 +48,7 @@ const PROXY_FLAGS: FeatureFlags = { scheduledShots: true, systemManagement: true, tailscaleConfig: true, - mcpServer: true, + mcpServer: false, // MCP server removed in 3.0.0 cloudSync: true, aiFeatures: true, liveTelemetry: true, @@ -58,7 +58,7 @@ const PROXY_FLAGS: FeatureFlags = { dialIn: true, recommendations: true, pwaInstall: false, - bridgeStatus: true, + bridgeStatus: false, // MQTT bridge removed in 3.0.0 watchtowerUpdate: true, } diff --git a/apps/web/src/lib/featureParity.test.ts b/apps/web/src/lib/featureParity.test.ts index 93afc22a..6d31b955 100644 --- a/apps/web/src/lib/featureParity.test.ts +++ b/apps/web/src/lib/featureParity.test.ts @@ -59,7 +59,7 @@ const EXPECTED_MODE_CAPABILITIES: Record = { scheduledShots: { proxy: true, directPwa: false, capacitor: false }, systemManagement: { proxy: true, directPwa: false, capacitor: false }, tailscaleConfig: { proxy: true, directPwa: false, capacitor: false }, - mcpServer: { proxy: true, directPwa: false, capacitor: false }, + mcpServer: { proxy: false, directPwa: false, capacitor: false }, cloudSync: { proxy: true, directPwa: false, capacitor: false }, aiFeatures: { proxy: true, directPwa: true, capacitor: true }, liveTelemetry: { proxy: true, directPwa: true, capacitor: true }, @@ -69,7 +69,7 @@ const EXPECTED_MODE_CAPABILITIES: Record = { dialIn: { proxy: true, directPwa: true, capacitor: true }, recommendations: { proxy: true, directPwa: true, capacitor: true }, pwaInstall: { proxy: false, directPwa: true, capacitor: false }, - bridgeStatus: { proxy: true, directPwa: false, capacitor: false }, + bridgeStatus: { proxy: false, directPwa: false, capacitor: false }, watchtowerUpdate: { proxy: true, directPwa: false, capacitor: false }, } @@ -193,18 +193,10 @@ describe('feature parity between proxy, direct PWA, and Capacitor modes', () => flag: 'tailscaleConfig', reason: 'Tailscale CLI is a server-side tool, not accessible from browser', }, - { - flag: 'mcpServer', - reason: 'MCP server integration runs as a backend process', - }, { flag: 'cloudSync', reason: 'Machine/profile sync controls depend on the backend profile database', }, - { - flag: 'bridgeStatus', - reason: 'Backend health/bridge monitoring — no backend exists in direct mode', - }, { flag: 'watchtowerUpdate', reason: 'Watchtower is a Docker-side update mechanism, not relevant in PWA', @@ -261,21 +253,36 @@ describe('feature parity between proxy, direct PWA, and Capacitor modes', () => ] const BACKEND_ONLY: (keyof FeatureFlags)[] = [ 'scheduledShots', 'systemManagement', - 'tailscaleConfig', 'mcpServer', 'cloudSync', 'bridgeStatus', 'watchtowerUpdate', + 'tailscaleConfig', 'cloudSync', 'watchtowerUpdate', + ] + // Removed in 3.0.0 (MCP server + MQTT bridge deleted); off in every mode. + const DISABLED_EVERYWHERE: (keyof FeatureFlags)[] = [ + 'mcpServer', 'bridgeStatus', ] const PROXY_AND_CAPACITOR: (keyof FeatureFlags)[] = ['machineDiscovery'] const DIRECT_PWA_ONLY: (keyof FeatureFlags)[] = [ 'pwaInstall', ] + it('removed features are disabled in every mode', () => { + const proxy = getProxyFlags() + const direct = getDirectFlags() + const capacitor = getCapacitorFlags() + for (const flag of DISABLED_EVERYWHERE) { + expect(proxy[flag]).toBe(false) + expect(direct[flag]).toBe(false) + expect(capacitor[flag]).toBe(false) + } + }) + it('every feature flag is classified by its three-mode availability pattern', () => { - const allClassified = [...SHARED, ...BACKEND_ONLY, ...PROXY_AND_CAPACITOR, ...DIRECT_PWA_ONLY].sort() + const allClassified = [...SHARED, ...BACKEND_ONLY, ...DISABLED_EVERYWHERE, ...PROXY_AND_CAPACITOR, ...DIRECT_PWA_ONLY].sort() const allFlags = Object.keys(getProxyFlags()).sort() expect(allClassified).toEqual(allFlags) }) it('no flag appears in multiple categories', () => { - const all = [...SHARED, ...BACKEND_ONLY, ...PROXY_AND_CAPACITOR, ...DIRECT_PWA_ONLY] + const all = [...SHARED, ...BACKEND_ONLY, ...DISABLED_EVERYWHERE, ...PROXY_AND_CAPACITOR, ...DIRECT_PWA_ONLY] const unique = new Set(all) expect(unique.size).toBe(all.length) }) From 85af7999c8373d621c3ff4b03be805a2cc963efe Mon Sep 17 00:00:00 2001 From: hessius Date: Sun, 12 Jul 2026 00:36:08 +0200 Subject: [PATCH 46/62] feat(android): support the hardware back button (#536) Register a Capacitor App backButton listener on native Android and route it through the same back-navigation the mobile swipe gesture uses, with modal dismissal and an unsaved-changes guard layered on top. Priority: 1. Close the topmost open Radix overlay (dialog, sheet, menu, popover) by dispatching an Escape keydown, since the hardware back button emits no keyboard event. Also closes the app-level QR, add-profile and import dialogs. 2. If the current view has unsaved edits, confirm before discarding. 3. Navigate to the previous view (breadcrumb), mirroring the swipe map. 4. On the main screen there is nowhere to go back to, so the press is a no-op and the app is not exited. The view-back mapping is extracted into a shared navigateBack() reused by the swipe handler. Unsaved-changes state is exposed through a small global registry (useUnsavedChangesGuard) so editable views opt in without threading dirty state up to the app root; the profile detail editor is wired up as the first consumer. Reuses the existing profileEdit.unsavedChanges string, so no new locale keys are needed. Native-only: no-op on iOS and the web. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> (cherry picked from commit 869f640fa542b4bd2fcc02554d1f301754c88414) --- apps/web/src/App.tsx | 51 ++++++++---- apps/web/src/components/HistoryView.tsx | 4 + .../src/hooks/useAndroidBackButton.test.ts | 81 +++++++++++++++++++ apps/web/src/hooks/useAndroidBackButton.ts | 51 ++++++++++++ apps/web/src/lib/backNavigation.test.ts | 59 ++++++++++++++ apps/web/src/lib/backNavigation.ts | 38 +++++++++ apps/web/src/lib/unsavedChanges.test.ts | 56 +++++++++++++ apps/web/src/lib/unsavedChanges.ts | 39 +++++++++ 8 files changed, 365 insertions(+), 14 deletions(-) create mode 100644 apps/web/src/hooks/useAndroidBackButton.test.ts create mode 100644 apps/web/src/hooks/useAndroidBackButton.ts create mode 100644 apps/web/src/lib/backNavigation.test.ts create mode 100644 apps/web/src/lib/backNavigation.ts create mode 100644 apps/web/src/lib/unsavedChanges.test.ts create mode 100644 apps/web/src/lib/unsavedChanges.ts diff --git a/apps/web/src/App.tsx b/apps/web/src/App.tsx index 684fae4d..9e2bd534 100644 --- a/apps/web/src/App.tsx +++ b/apps/web/src/App.tsx @@ -75,6 +75,9 @@ import { useStorageMigration } from '@/services/storage' import { useNetworkStatus } from '@/hooks/useNetworkStatus' import { useBrewNotifications } from '@/hooks/useBrewNotifications' import { useSoundEffects, useGlobalSoundDelegation } from '@/hooks/useSoundEffects' +import { useAndroidBackButton } from '@/hooks/useAndroidBackButton' +import { closeTopmostOverlay } from '@/lib/backNavigation' +import { hasUnsavedChanges } from '@/lib/unsavedChanges' function App() { const { t } = useTranslation() @@ -863,24 +866,23 @@ function App() { setViewState('start') }, [refreshProfileCount]) - // Swipe navigation for mobile - back navigation via swipe right - const handleSwipeRight = useCallback(() => { - if (!isMobile) return - - // Handle back navigation based on current view + // Shared back-navigation mapping used by both the mobile swipe gesture and + // the Android hardware back button. Returns true if it navigated, false if + // there was nowhere to go back to (e.g. the main screen). + const navigateBack = useCallback((): boolean => { switch (viewState) { case 'form': handleBackToStart() - break + return true case 'results': handleReset() - break + return true case 'history-detail': setViewState('profile-catalogue') - break + return true case 'profile-catalogue': handleBackToStart() - break + return true case 'settings': case 'pour-over': case 'live-shot': @@ -888,7 +890,7 @@ function App() { case 'dial-in': case 'machine-status': handleBackToStart() - break + return true case 'shot-history': { const prev = previousViewStateRef.current if (prev === 'shot-analysis' || prev === 'history-detail') { @@ -896,13 +898,19 @@ function App() { } else { handleBackToStart() } - break + return true } - // Don't navigate on start, loading, or error views - but still block browser gesture + // start, loading, onboarding, error: nowhere to go back to. default: - break + return false } - }, [isMobile, viewState, handleBackToStart, handleReset, setViewState]) + }, [viewState, handleBackToStart, handleReset, setViewState]) + + // Swipe navigation for mobile - back navigation via swipe right + const handleSwipeRight = useCallback(() => { + if (!isMobile) return + navigateBack() + }, [isMobile, navigateBack]) useSwipeNavigation({ onSwipeRight: handleSwipeRight, @@ -910,6 +918,21 @@ function App() { enabled: isMobile, }) + // Android hardware back button. Priority: close an open modal/dialog/menu, + // otherwise confirm before discarding unsaved edits and navigate to the + // previous view. On the main screen there is nowhere to go back to, so the + // press is intentionally a no-op (the app is not exited). + const handleAndroidBack = useCallback(() => { + if (closeTopmostOverlay()) return + if (qrDialogOpen) { setQrDialogOpen(false); return } + if (showAddProfileDialog) { setShowAddProfileDialog(false); return } + if (pendingImportUrl) { setPendingImportUrl(null); return } + if (hasUnsavedChanges() && !window.confirm(t('profileEdit.unsavedChanges'))) return + navigateBack() + }, [qrDialogOpen, showAddProfileDialog, pendingImportUrl, navigateBack, t]) + + useAndroidBackButton(handleAndroidBack) + const handleViewHistoryEntry = (entry: HistoryEntry, cachedImageUrl?: string) => { document.getElementById('root')?.scrollTo(0, 0) setSelectedHistoryEntry(entry) diff --git a/apps/web/src/components/HistoryView.tsx b/apps/web/src/components/HistoryView.tsx index 1f76a5e2..5a541e1f 100644 --- a/apps/web/src/components/HistoryView.tsx +++ b/apps/web/src/components/HistoryView.tsx @@ -49,6 +49,7 @@ import { getServerUrl } from '@/lib/config' import { invalidateCatalogueCache } from '@/lib/catalogueCache' import { isDirectMode, isNativePlatform } from '@/lib/machineMode' import { hasFeature } from '@/lib/featureFlags' +import { useUnsavedChangesGuard } from '@/lib/unsavedChanges' import { getProfileImageValue, resolveDisplayImage } from '@/hooks/useProfileImageSrc' import { profileService } from '@/services/profileService' @@ -715,6 +716,9 @@ export function ProfileDetailView({ entry, onBack, onRunProfile, onEntryUpdated, return () => window.removeEventListener('beforeunload', handler) }, [hasEditChanges]) + // Guard in-app navigation (e.g. Android hardware back) against losing edits. + useUnsavedChangesGuard(hasEditChanges) + const handleStartEdit = (section: 'title' | 'details') => { const pj = entry.profile_json as ProfileData | null setEditName(entry.profile_name) diff --git a/apps/web/src/hooks/useAndroidBackButton.test.ts b/apps/web/src/hooks/useAndroidBackButton.test.ts new file mode 100644 index 00000000..8c927846 --- /dev/null +++ b/apps/web/src/hooks/useAndroidBackButton.test.ts @@ -0,0 +1,81 @@ +import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest' +import { renderHook, act } from '@testing-library/react' + +let mockIsNative = false +let mockPlatform = 'web' +vi.mock('@capacitor/core', () => ({ + Capacitor: { + isNativePlatform: () => mockIsNative, + getPlatform: () => mockPlatform, + }, +})) + +const mockRemove = vi.fn() +const mockAddListener = vi.fn(async () => ({ remove: mockRemove })) +vi.mock('@capacitor/app', () => ({ + App: { + addListener: (...args: unknown[]) => mockAddListener(...args), + }, +})) + +import { useAndroidBackButton } from './useAndroidBackButton' + +describe('useAndroidBackButton', () => { + beforeEach(() => { + vi.clearAllMocks() + mockIsNative = false + mockPlatform = 'web' + }) + + afterEach(() => { + vi.restoreAllMocks() + }) + + it('does not register on the web', () => { + renderHook(() => useAndroidBackButton(() => {})) + expect(mockAddListener).not.toHaveBeenCalled() + }) + + it('does not register on native iOS', () => { + mockIsNative = true + mockPlatform = 'ios' + renderHook(() => useAndroidBackButton(() => {})) + expect(mockAddListener).not.toHaveBeenCalled() + }) + + it('registers a backButton listener on native Android', async () => { + mockIsNative = true + mockPlatform = 'android' + const handler = vi.fn() + await act(async () => { + renderHook(() => useAndroidBackButton(handler)) + }) + expect(mockAddListener).toHaveBeenCalledWith('backButton', expect.any(Function)) + + // Simulate the hardware back press. + const registered = mockAddListener.mock.calls[0][1] as () => void + registered() + expect(handler).toHaveBeenCalledTimes(1) + }) + + it('does not register when disabled', () => { + mockIsNative = true + mockPlatform = 'android' + renderHook(() => useAndroidBackButton(() => {}, false)) + expect(mockAddListener).not.toHaveBeenCalled() + }) + + it('removes the listener on unmount', async () => { + mockIsNative = true + mockPlatform = 'android' + let unmountFn: () => void = () => {} + await act(async () => { + const { unmount } = renderHook(() => useAndroidBackButton(() => {})) + unmountFn = unmount + }) + await act(async () => { + unmountFn() + }) + expect(mockRemove).toHaveBeenCalledTimes(1) + }) +}) diff --git a/apps/web/src/hooks/useAndroidBackButton.ts b/apps/web/src/hooks/useAndroidBackButton.ts new file mode 100644 index 00000000..164a06ac --- /dev/null +++ b/apps/web/src/hooks/useAndroidBackButton.ts @@ -0,0 +1,51 @@ +import { useEffect, useRef } from 'react' +import { Capacitor } from '@capacitor/core' + +/** + * Registers an Android hardware "back" button handler via the Capacitor App + * plugin. + * + * Registering a `backButton` listener overrides Capacitor's default behaviour + * (which would exit the app on the root history entry), so the supplied handler + * has full control: it decides whether to close a modal, navigate to a previous + * view, or do nothing. The listener is only attached on native Android; on iOS + * and the web it is a no-op. + * + * The handler is stored in a ref so the listener does not need to be torn down + * and re-registered on every render when an inline callback is passed. + */ +export function useAndroidBackButton(handler: () => void, enabled = true): void { + const handlerRef = useRef(handler) + useEffect(() => { + handlerRef.current = handler + }, [handler]) + + useEffect(() => { + if (!enabled) return + if (!Capacitor.isNativePlatform() || Capacitor.getPlatform() !== 'android') return + + let cancelled = false + let remove: (() => void) | undefined + + // Return the module namespace (not the plugin proxy) from the async import, + // then access App on it: awaiting a plugin proxy directly triggers + // "App.then() is not implemented" on Android. + void (async () => { + const mod = await import('@capacitor/app') + if (cancelled) return + const listener = await mod.App.addListener('backButton', () => { + handlerRef.current() + }) + if (cancelled) { + listener.remove() + return + } + remove = () => listener.remove() + })() + + return () => { + cancelled = true + remove?.() + } + }, [enabled]) +} diff --git a/apps/web/src/lib/backNavigation.test.ts b/apps/web/src/lib/backNavigation.test.ts new file mode 100644 index 00000000..3454af9b --- /dev/null +++ b/apps/web/src/lib/backNavigation.test.ts @@ -0,0 +1,59 @@ +import { describe, it, expect, afterEach, vi } from 'vitest' +import { closeTopmostOverlay } from './backNavigation' + +function addOverlay(role: string): HTMLElement { + const el = document.createElement('div') + el.setAttribute('role', role) + el.setAttribute('data-state', 'open') + document.body.appendChild(el) + return el +} + +describe('closeTopmostOverlay', () => { + afterEach(() => { + document.body.innerHTML = '' + vi.restoreAllMocks() + }) + + it('returns false when no overlay is open', () => { + expect(closeTopmostOverlay()).toBe(false) + }) + + it('ignores overlays that are not open', () => { + const el = document.createElement('div') + el.setAttribute('role', 'dialog') + el.setAttribute('data-state', 'closed') + document.body.appendChild(el) + expect(closeTopmostOverlay()).toBe(false) + }) + + it.each(['dialog', 'alertdialog', 'menu', 'listbox'])( + 'detects an open %s and dispatches an Escape keydown', + (role) => { + addOverlay(role) + const events: string[] = [] + const listener = (e: KeyboardEvent) => events.push(e.key) + document.addEventListener('keydown', listener) + + expect(closeTopmostOverlay()).toBe(true) + expect(events).toEqual(['Escape']) + + document.removeEventListener('keydown', listener) + }, + ) + + it('dispatches a cancelable, bubbling Escape event', () => { + addOverlay('dialog') + let captured: KeyboardEvent | undefined + const listener = (e: KeyboardEvent) => { captured = e } + document.addEventListener('keydown', listener) + + closeTopmostOverlay() + + expect(captured?.key).toBe('Escape') + expect(captured?.bubbles).toBe(true) + expect(captured?.cancelable).toBe(true) + + document.removeEventListener('keydown', listener) + }) +}) diff --git a/apps/web/src/lib/backNavigation.ts b/apps/web/src/lib/backNavigation.ts new file mode 100644 index 00000000..820fc1e6 --- /dev/null +++ b/apps/web/src/lib/backNavigation.ts @@ -0,0 +1,38 @@ +/** + * Detects and dismisses the topmost open Radix overlay (dialog, alert dialog, + * sheet, dropdown/select/context menu, or listbox popover). + * + * Radix closes the topmost dismissable layer in response to an Escape keydown + * on `document`. Android's hardware back button does not emit a keyboard event, + * so we synthesise one. This lets a single back press close whatever modal is + * currently open, mirroring the platform's expected behaviour, without wiring + * every component's open state up to the app root. + * + * @returns true if an open overlay was found and an Escape was dispatched to + * close it (i.e. the back press was consumed), false otherwise. + */ +const OPEN_OVERLAY_SELECTOR = [ + '[role="dialog"][data-state="open"]', + '[role="alertdialog"][data-state="open"]', + '[role="menu"][data-state="open"]', + '[role="listbox"][data-state="open"]', + '[data-radix-popper-content-wrapper] [data-state="open"]', +].join(',') + +export function closeTopmostOverlay(): boolean { + if (typeof document === 'undefined') return false + const openOverlay = document.querySelector(OPEN_OVERLAY_SELECTOR) + if (!openOverlay) return false + + document.dispatchEvent( + new KeyboardEvent('keydown', { + key: 'Escape', + code: 'Escape', + keyCode: 27, + which: 27, + bubbles: true, + cancelable: true, + }), + ) + return true +} diff --git a/apps/web/src/lib/unsavedChanges.test.ts b/apps/web/src/lib/unsavedChanges.test.ts new file mode 100644 index 00000000..f07fb986 --- /dev/null +++ b/apps/web/src/lib/unsavedChanges.test.ts @@ -0,0 +1,56 @@ +import { describe, it, expect } from 'vitest' +import { renderHook } from '@testing-library/react' +import { + registerUnsavedChangesGuard, + hasUnsavedChanges, + useUnsavedChangesGuard, +} from './unsavedChanges' + +describe('unsavedChanges registry', () => { + it('reports no unsaved changes when nothing is registered', () => { + expect(hasUnsavedChanges()).toBe(false) + }) + + it('reports unsaved changes while a truthy predicate is registered', () => { + const unregister = registerUnsavedChangesGuard(() => true) + expect(hasUnsavedChanges()).toBe(true) + unregister() + expect(hasUnsavedChanges()).toBe(false) + }) + + it('ignores predicates that report no changes', () => { + const unregister = registerUnsavedChangesGuard(() => false) + expect(hasUnsavedChanges()).toBe(false) + unregister() + }) + + it('returns true if any registered predicate reports changes', () => { + const a = registerUnsavedChangesGuard(() => false) + const b = registerUnsavedChangesGuard(() => true) + expect(hasUnsavedChanges()).toBe(true) + a() + b() + expect(hasUnsavedChanges()).toBe(false) + }) +}) + +describe('useUnsavedChangesGuard', () => { + it('reflects the latest hasChanges value without re-registering', () => { + const { rerender, unmount } = renderHook(({ dirty }) => useUnsavedChangesGuard(dirty), { + initialProps: { dirty: false }, + }) + expect(hasUnsavedChanges()).toBe(false) + + rerender({ dirty: true }) + expect(hasUnsavedChanges()).toBe(true) + + rerender({ dirty: false }) + expect(hasUnsavedChanges()).toBe(false) + + rerender({ dirty: true }) + expect(hasUnsavedChanges()).toBe(true) + + unmount() + expect(hasUnsavedChanges()).toBe(false) + }) +}) diff --git a/apps/web/src/lib/unsavedChanges.ts b/apps/web/src/lib/unsavedChanges.ts new file mode 100644 index 00000000..8b6c9d63 --- /dev/null +++ b/apps/web/src/lib/unsavedChanges.ts @@ -0,0 +1,39 @@ +import { useEffect, useRef } from 'react' + +/** + * Lightweight global registry of "unsaved changes" predicates. + * + * Views that hold edits which require an explicit save register a predicate + * here. The Android hardware back handler (and any other global navigation + * guard) can then ask whether leaving the current screen would discard work, + * without every editable component having to thread its dirty state up to the + * app root. + */ +const guards = new Set<() => boolean>() + +export function registerUnsavedChangesGuard(predicate: () => boolean): () => void { + guards.add(predicate) + return () => { + guards.delete(predicate) + } +} + +export function hasUnsavedChanges(): boolean { + for (const predicate of guards) { + if (predicate()) return true + } + return false +} + +/** + * Register the current component's unsaved-changes state for the lifetime of + * the component. `hasChanges` is read live via a ref, so the predicate always + * reflects the latest render without re-registering on every change. + */ +export function useUnsavedChangesGuard(hasChanges: boolean): void { + const ref = useRef(hasChanges) + useEffect(() => { + ref.current = hasChanges + }, [hasChanges]) + useEffect(() => registerUnsavedChangesGuard(() => ref.current), []) +} From 526c2be63b7ab1dd22e2c646a6d9db69d1cab403 Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 13 Jul 2026 00:00:46 +0200 Subject: [PATCH 47/62] fix(ai): compact on-device prompts to fit small context windows Port the 2.6.0 on-device prompt compaction fix into the 3.0.0 unified core architecture. On-device providers (Apple Intelligence, local Gemma) advertise a small context window and were overflowing the full profile and shot-analysis prompts, surfacing "exceeded model context window size" errors during analysis and generic failures during profile generation. Add a contextWindowTokens seam so core can detect a small-window provider and build compact prompt variants: - @metic/core: PlatformAI.contextWindowTokens() optional seam; needsCompactPrompt() + threshold in ai/contextWindow.ts; compact variants buildCompactProfilePrompt and buildCompactAnalyzeLlmPrompt; shots.ts and analyzeAndProfile.ts pass compact when the provider window is at or below the threshold. Hosted Gemini omits the seam so it always gets the full prompt. - apps/web: provider capability contextWindowTokens (LocalLLM = 4096), browserPlatform surfaces it into core, parity copy of the compact profile prompt, BrowserAIService honours it. Dual-runtime parity: native profile-gen and shot-analysis run through core; the provider-path parity copy keeps apps/web in sync. Tests added on both sides. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/services/ai/BrowserAIService.ts | 3 +- .../ai/profilePromptFull.compact.test.ts | 47 ++++++++ apps/web/src/services/ai/profilePromptFull.ts | 52 +++++++++ .../src/services/ai/providers/AIProvider.ts | 8 ++ .../ai/providers/LocalLLMProvider.test.ts | 9 +- .../services/ai/providers/LocalLLMProvider.ts | 4 + apps/web/src/services/ai/providers/index.ts | 17 +++ .../ai/providers/needsCompactPrompt.test.ts | 40 +++++++ .../src/services/platform/browserPlatform.ts | 3 + packages/core/src/ai/contextWindow.ts | 20 ++++ packages/core/src/ai/profilePromptFull.ts | 52 +++++++++ packages/core/src/platform.ts | 8 ++ packages/core/src/routes/analyzeAndProfile.ts | 3 +- packages/core/src/routes/analyzeLlmPrompt.ts | 109 ++++++++++++++++++ packages/core/src/routes/shots.ts | 2 + .../contract/analyzeLlmPromptCompact.test.ts | 88 ++++++++++++++ .../core/test/contract/contextWindow.test.ts | 24 ++++ .../test/contract/profilePromptFull.test.ts | 46 +++++++- 18 files changed, 531 insertions(+), 4 deletions(-) create mode 100644 apps/web/src/services/ai/profilePromptFull.compact.test.ts create mode 100644 apps/web/src/services/ai/providers/needsCompactPrompt.test.ts create mode 100644 packages/core/src/ai/contextWindow.ts create mode 100644 packages/core/test/contract/analyzeLlmPromptCompact.test.ts create mode 100644 packages/core/test/contract/contextWindow.test.ts diff --git a/apps/web/src/services/ai/BrowserAIService.ts b/apps/web/src/services/ai/BrowserAIService.ts index c96c0eee..0debf3fb 100644 --- a/apps/web/src/services/ai/BrowserAIService.ts +++ b/apps/web/src/services/ai/BrowserAIService.ts @@ -33,7 +33,7 @@ import { STORAGE_KEYS } from '@/lib/constants' import { lintShotAnalysis, repairShotAnalysis, checkStructure } from '@/lib/analysisLint' import { safeRandomUUID } from '@/lib/uuid' import { AIServiceError, type AIErrorCode as AIErrorCodeBase } from './aiErrors' -import { getProviderForMethod, isAIConfigured } from './providers' +import { getProviderForMethod, isAIConfigured, needsCompactPrompt } from './providers' /** * Typed AI service error codes — UI layer translates these via i18n. @@ -84,6 +84,7 @@ export function createBrowserAIService(): AIService { request.preferences, request.tags, !!request.image, + needsCompactPrompt(provider), ) parts.push({ text: systemPrompt }) diff --git a/apps/web/src/services/ai/profilePromptFull.compact.test.ts b/apps/web/src/services/ai/profilePromptFull.compact.test.ts new file mode 100644 index 00000000..5fceee3d --- /dev/null +++ b/apps/web/src/services/ai/profilePromptFull.compact.test.ts @@ -0,0 +1,47 @@ +import { describe, expect, it } from 'vitest' +import { buildFullProfilePrompt, buildCompactProfilePrompt } from './profilePromptFull' + +describe('buildFullProfilePrompt (compact / on-device)', () => { + const args: [string, string, string[], boolean] = ['Metic', 'light roast, 1:3 ratio', ['turbo'], false] + + it('is materially smaller than the full prompt', () => { + const full = buildFullProfilePrompt(...args) + const compact = buildFullProfilePrompt(...args, true) + expect(compact.length).toBeLessThan(full.length * 0.6) + }) + + it('delegates to the compact builder when compact=true', () => { + const viaFlag = buildFullProfilePrompt(...args, true) + const direct = buildCompactProfilePrompt(...args) + expect(viaFlag).toBe(direct) + }) + + it('preserves the output contract the extractor needs', () => { + const p = buildFullProfilePrompt(...args, true) + expect(p).toContain('**Profile Created:**') + expect(p).toContain('```json') + expect(p).toContain('author') + }) + + it('keeps the rejection-critical validation rules', () => { + const p = buildFullProfilePrompt(...args, true) + // paradox rule, failsafe/time backup, cross-type limits, relative time + expect(p).toMatch(/flow stage must NOT have a flow exit trigger/i) + expect(p).toMatch(/time exit trigger/i) + expect(p).toMatch(/pressure stages need a flow limit/i) + expect(p).toMatch(/relative/i) + }) + + it('honours mandatory user preferences', () => { + const p = buildFullProfilePrompt('Metic', '20g dose', [], false, true) + expect(p).toContain('20g dose') + expect(p).toMatch(/MANDATORY/i) + }) + + it('adapts the task line for image input', () => { + const withImage = buildFullProfilePrompt('Metic', '', [], true, true) + const noImage = buildFullProfilePrompt('Metic', '', [], false, true) + expect(withImage).toMatch(/coffee bag image/i) + expect(noImage).not.toMatch(/coffee bag image/i) + }) +}) diff --git a/apps/web/src/services/ai/profilePromptFull.ts b/apps/web/src/services/ai/profilePromptFull.ts index 3cec2f1c..37e14af8 100644 --- a/apps/web/src/services/ai/profilePromptFull.ts +++ b/apps/web/src/services/ai/profilePromptFull.ts @@ -166,6 +166,55 @@ Profile JSON structure: {name, author, stages[], variables[], temperature} ` +const COMPACT_PROFILE_PROMPT = `You are a creative, expert espresso barista designing a profile for a Meticulous Espresso Machine. Use witty, pun-heavy but clear naming; never reuse generic names. + +REQUIREMENTS: +- User preferences are MANDATORY: if the user gives a dose, grind, temperature, ratio, etc., use EXACTLY that value; only use defaults (18 g dose, 93°C) when unspecified. +- Keep to 3-4 stages (6 max). Typical phases: pre-infusion, optional bloom, infusion (ramp to 6-9 bar or 1.5-3 ml/s), taper. + +VARIABLES (required 'variables' array): +- First entry is dose: {"name":"☕ Dose","key":"info_dose","type":"weight","value":18}. INFO variable names (key starts 'info_') MUST start with an emoji; adjustable variable names must NOT start with an emoji and must be referenced in a stage via $key. + +VALIDATION (profile is rejected if violated): +- A flow stage must NOT have a flow exit trigger; a pressure stage must NOT have a pressure exit trigger. +- Every stage needs a time exit trigger OR multiple exit triggers (time failsafe backup). +- Flow stages need a pressure limit; pressure stages need a flow limit; a limit's type must differ from the stage type. +- Time exit triggers and all dynamics x-axis values are ALWAYS relative to stage start ("relative": true). +- interpolation: 'linear' or 'curve' only. dynamics.over: 'time' | 'weight' | 'piston_position'. Stage types: 'power' | 'flow' | 'pressure'. Exit trigger types: 'weight' | 'pressure' | 'flow' | 'time' | 'piston_position' | 'power' | 'user_interaction'; comparison '>=' or '<='. Pressure max 15 bar. Do NOT add a weight exit trigger to the final stage (the machine handles the global weight target). + +OEPF JSON: {name, author, temperature (°C number), stages[], variables[]}. Each stage: {name, type, dynamics:{points:[[x,y],...], over, interpolation}, limits:[{type,value}], exit_triggers:[{type,value,comparison,relative?}], exit_type?:'or'|'and'}. Reference variables as {"points":[[0,"$peak_pressure"]]}. + +` + +/** Compact profile prompt for on-device models with a ~4096-token window. */ +export function buildCompactProfilePrompt( + authorName: string, + preferences: string, + tags: string[], + hasImage: boolean, +): string { + const allPrefs = [preferences, ...tags].filter(Boolean).join(', ') + const task = hasImage + ? 'Analyze the coffee bag image and create a sophisticated espresso profile for it.' + : 'Create a sophisticated espresso profile.' + const prefsSection = allPrefs + ? `⚠️ MANDATORY USER REQUIREMENTS (follow EXACTLY): '${allPrefs}'\n\n` + : '' + return ( + COMPACT_PROFILE_PROMPT + + `AUTHOR: set the profile 'author' field to "${authorName}".\n\n` + + prefsSection + + `TASK: ${task}\n\n` + + `OUTPUT (use this exact format):\n` + + `**Profile Created:** [Name]\n\n` + + `**Description:** [1-2 sentences]\n\n` + + `**Preparation:** dose, grind, temperature, and any other prep steps\n\n` + + `**Why This Works:** [reasoning]\n\n` + + `**Special Notes:** [requirements, or 'None']\n\n` + + `Then the complete profile as a fenced \`\`\`json block (include a 'display' object with a markdown 'description' field). Do NOT call tools.\n` + ) +} + export const PROFILING_KNOWLEDGE = `ESPRESSO PROFILING GUIDE: ## Core Concepts @@ -237,7 +286,10 @@ export function buildFullProfilePrompt( preferences: string, tags: string[], hasImage: boolean, + compact = false, ): string { + if (compact) return buildCompactProfilePrompt(authorName, preferences, tags, hasImage) + const authorSection = `AUTHOR:\n• Set the 'author' field in the profile JSON to: "${authorName}"\n\n` const allPrefs = [preferences, ...tags].filter(Boolean).join(', ') diff --git a/apps/web/src/services/ai/providers/AIProvider.ts b/apps/web/src/services/ai/providers/AIProvider.ts index 313af109..d22d69c5 100644 --- a/apps/web/src/services/ai/providers/AIProvider.ts +++ b/apps/web/src/services/ai/providers/AIProvider.ts @@ -3,6 +3,14 @@ export interface ProviderCapabilities { vision: boolean imageGen: boolean jsonMode: boolean + /** + * Approximate total context window (input + output) in tokens, when the + * provider has a hard limit small enough that full prompts overflow it. + * On-device models (Apple Intelligence, Gemma) sit around 4096 tokens, so + * the large analysis/profile prompts must be compacted for them. Hosted + * providers leave this undefined (effectively unbounded for our prompts). + */ + contextWindowTokens?: number } export interface AIProvider { diff --git a/apps/web/src/services/ai/providers/LocalLLMProvider.test.ts b/apps/web/src/services/ai/providers/LocalLLMProvider.test.ts index 7f3668e2..b49417d1 100644 --- a/apps/web/src/services/ai/providers/LocalLLMProvider.test.ts +++ b/apps/web/src/services/ai/providers/LocalLLMProvider.test.ts @@ -300,10 +300,17 @@ describe('contentsToPrompt', () => { describe('LocalLLMProvider', () => { it('is text-only with no image generation', () => { const p: AIProvider = new LocalLLMProvider() - expect(p.capabilities).toEqual({ text: true, vision: false, imageGen: false, jsonMode: false }) + expect(p.capabilities).toEqual({ + text: true, vision: false, imageGen: false, jsonMode: false, contextWindowTokens: 4096, + }) expect(p.generateImage).toBeUndefined() expect(p.detectFromKey('whatever')).toBe(false) }) + + it('advertises a small context window so call sites request compact prompts', () => { + const p: AIProvider = new LocalLLMProvider() + expect(p.capabilities.contextWindowTokens).toBeLessThanOrEqual(4096) + }) it('generates text through the on-device bridge', async () => { const p = new LocalLLMProvider() const res = await p.generateText({ contents: [{ role: 'user', parts: [{ text: 'hi' }] }] }) diff --git a/apps/web/src/services/ai/providers/LocalLLMProvider.ts b/apps/web/src/services/ai/providers/LocalLLMProvider.ts index f0d1abf6..1c4f8ef2 100644 --- a/apps/web/src/services/ai/providers/LocalLLMProvider.ts +++ b/apps/web/src/services/ai/providers/LocalLLMProvider.ts @@ -64,6 +64,10 @@ export class LocalLLMProvider implements AIProvider { vision: false, imageGen: false, jsonMode: false, + // Apple Intelligence and Gemma 4 E2B both run in a ~4096-token window + // (shared input + output). The full analysis/profile prompts overflow it, + // so call sites request a compacted prompt for this provider. + contextWindowTokens: 4096, } isConfigured(): boolean { diff --git a/apps/web/src/services/ai/providers/index.ts b/apps/web/src/services/ai/providers/index.ts index 3dc8a005..8d110ded 100644 --- a/apps/web/src/services/ai/providers/index.ts +++ b/apps/web/src/services/ai/providers/index.ts @@ -36,6 +36,23 @@ export function getProviderForMethod( return getProvider(resolveProviderIdForMethod(method, opts)) } +/** + * Providers whose context window is at or below this many tokens cannot fit the + * full analysis/profile prompts and must be given a compacted variant. + */ +export const COMPACT_PROMPT_CONTEXT_THRESHOLD = 8192 + +/** + * Whether the given provider needs the compact (small-context) prompt variant. + * On-device models (Apple Intelligence, Gemma) advertise a ~4096-token window; + * the full prompts overflow it and the model errors out ("exceeded model + * context window size") instead of returning a result. + */ +export function needsCompactPrompt(provider: AIProvider): boolean { + const window = provider.capabilities.contextWindowTokens + return window != null && window <= COMPACT_PROMPT_CONTEXT_THRESHOLD +} + export { geminiProvider, GeminiProvider } from './GeminiProvider' export { localLLMProvider, LocalLLMProvider } from './LocalLLMProvider' export { OpenAICompatProvider } from './OpenAICompatProvider' diff --git a/apps/web/src/services/ai/providers/needsCompactPrompt.test.ts b/apps/web/src/services/ai/providers/needsCompactPrompt.test.ts new file mode 100644 index 00000000..825a68ff --- /dev/null +++ b/apps/web/src/services/ai/providers/needsCompactPrompt.test.ts @@ -0,0 +1,40 @@ +import { describe, expect, it } from 'vitest' +import { + needsCompactPrompt, + COMPACT_PROMPT_CONTEXT_THRESHOLD, + getProvider, +} from './index' +import type { AIProvider } from './AIProvider' + +function fakeProvider(contextWindowTokens?: number): AIProvider { + return { + id: 'fake', + label: 'Fake', + capabilities: { text: true, vision: false, imageGen: false, jsonMode: false, contextWindowTokens }, + isConfigured: () => true, + detectFromKey: () => false, + generateText: async () => ({ text: '' }), + listModels: async () => [], + } +} + +describe('needsCompactPrompt', () => { + it('is true for a small-window (on-device) provider', () => { + expect(needsCompactPrompt(fakeProvider(4096))).toBe(true) + expect(needsCompactPrompt(fakeProvider(COMPACT_PROMPT_CONTEXT_THRESHOLD))).toBe(true) + }) + + it('is false when no window is advertised (hosted, effectively unbounded)', () => { + expect(needsCompactPrompt(fakeProvider(undefined))).toBe(false) + }) + + it('is false for a large-window provider', () => { + expect(needsCompactPrompt(fakeProvider(COMPACT_PROMPT_CONTEXT_THRESHOLD + 1))).toBe(false) + expect(needsCompactPrompt(fakeProvider(1_000_000))).toBe(false) + }) + + it('flags the on-device local provider and not the hosted Gemini provider', () => { + expect(needsCompactPrompt(getProvider('local'))).toBe(true) + expect(needsCompactPrompt(getProvider('gemini'))).toBe(false) + }) +}) diff --git a/apps/web/src/services/platform/browserPlatform.ts b/apps/web/src/services/platform/browserPlatform.ts index b1320535..61a3d356 100644 --- a/apps/web/src/services/platform/browserPlatform.ts +++ b/apps/web/src/services/platform/browserPlatform.ts @@ -197,6 +197,9 @@ function providerAI(getProvider: () => AIProvider, configured: () => boolean): P currentModel() { return getProviderModel(getActiveHostedProviderId()); }, + contextWindowTokens() { + return getProvider().capabilities.contextWindowTokens; + }, }; } diff --git a/packages/core/src/ai/contextWindow.ts b/packages/core/src/ai/contextWindow.ts new file mode 100644 index 00000000..5d719002 --- /dev/null +++ b/packages/core/src/ai/contextWindow.ts @@ -0,0 +1,20 @@ +import type { PlatformAI } from "../platform"; + +/** + * Providers whose context window is at or below this many tokens cannot fit the + * full analysis/profile prompts and must be given a compacted variant. Mirrors + * the frontend's COMPACT_PROMPT_CONTEXT_THRESHOLD so both runtimes agree. + */ +export const COMPACT_PROMPT_CONTEXT_THRESHOLD = 8192; + +/** + * Whether the active AI provider needs the compact (small-context) prompt + * variant. On-device models (Apple Intelligence, Gemma) advertise a ~4096-token + * window; the full prompts overflow it and the model errors out ("exceeded + * model context window size") instead of returning a result. Hosted providers + * omit `contextWindowTokens` (effectively unbounded) and get the full prompt. + */ +export function needsCompactPrompt(ai: Pick): boolean { + const window = ai.contextWindowTokens?.(); + return window != null && window <= COMPACT_PROMPT_CONTEXT_THRESHOLD; +} diff --git a/packages/core/src/ai/profilePromptFull.ts b/packages/core/src/ai/profilePromptFull.ts index d197e107..dada3bf3 100644 --- a/packages/core/src/ai/profilePromptFull.ts +++ b/packages/core/src/ai/profilePromptFull.ts @@ -166,6 +166,55 @@ Profile JSON structure: {name, author, stages[], variables[], temperature} ` +const COMPACT_PROFILE_PROMPT = `You are a creative, expert espresso barista designing a profile for a Meticulous Espresso Machine. Use witty, pun-heavy but clear naming; never reuse generic names. + +REQUIREMENTS: +- User preferences are MANDATORY: if the user gives a dose, grind, temperature, ratio, etc., use EXACTLY that value; only use defaults (18 g dose, 93°C) when unspecified. +- Keep to 3-4 stages (6 max). Typical phases: pre-infusion, optional bloom, infusion (ramp to 6-9 bar or 1.5-3 ml/s), taper. + +VARIABLES (required 'variables' array): +- First entry is dose: {"name":"☕ Dose","key":"info_dose","type":"weight","value":18}. INFO variable names (key starts 'info_') MUST start with an emoji; adjustable variable names must NOT start with an emoji and must be referenced in a stage via $key. + +VALIDATION (profile is rejected if violated): +- A flow stage must NOT have a flow exit trigger; a pressure stage must NOT have a pressure exit trigger. +- Every stage needs a time exit trigger OR multiple exit triggers (time failsafe backup). +- Flow stages need a pressure limit; pressure stages need a flow limit; a limit's type must differ from the stage type. +- Time exit triggers and all dynamics x-axis values are ALWAYS relative to stage start ("relative": true). +- interpolation: 'linear' or 'curve' only. dynamics.over: 'time' | 'weight' | 'piston_position'. Stage types: 'power' | 'flow' | 'pressure'. Exit trigger types: 'weight' | 'pressure' | 'flow' | 'time' | 'piston_position' | 'power' | 'user_interaction'; comparison '>=' or '<='. Pressure max 15 bar. Do NOT add a weight exit trigger to the final stage (the machine handles the global weight target). + +OEPF JSON: {name, author, temperature (°C number), stages[], variables[]}. Each stage: {name, type, dynamics:{points:[[x,y],...], over, interpolation}, limits:[{type,value}], exit_triggers:[{type,value,comparison,relative?}], exit_type?:'or'|'and'}. Reference variables as {"points":[[0,"$peak_pressure"]]}. + +` + +/** Compact profile prompt for on-device models with a ~4096-token window. */ +export function buildCompactProfilePrompt( + authorName: string, + preferences: string, + tags: string[], + hasImage: boolean, +): string { + const allPrefs = [preferences, ...tags].filter(Boolean).join(', ') + const task = hasImage + ? 'Analyze the coffee bag image and create a sophisticated espresso profile for it.' + : 'Create a sophisticated espresso profile.' + const prefsSection = allPrefs + ? `⚠️ MANDATORY USER REQUIREMENTS (follow EXACTLY): '${allPrefs}'\n\n` + : '' + return ( + COMPACT_PROFILE_PROMPT + + `AUTHOR: set the profile 'author' field to "${authorName}".\n\n` + + prefsSection + + `TASK: ${task}\n\n` + + `OUTPUT (use this exact format):\n` + + `**Profile Created:** [Name]\n\n` + + `**Description:** [1-2 sentences]\n\n` + + `**Preparation:** dose, grind, temperature, and any other prep steps\n\n` + + `**Why This Works:** [reasoning]\n\n` + + `**Special Notes:** [requirements, or 'None']\n\n` + + `Then the complete profile as a fenced \`\`\`json block (include a 'display' object with a markdown 'description' field). Do NOT call tools.\n` + ) +} + export const PROFILING_KNOWLEDGE = `ESPRESSO PROFILING GUIDE: ## Core Concepts @@ -237,7 +286,10 @@ export function buildFullProfilePrompt( preferences: string, tags: string[], hasImage: boolean, + compact = false, ): string { + if (compact) return buildCompactProfilePrompt(authorName, preferences, tags, hasImage) + const authorSection = `AUTHOR:\n• Set the 'author' field in the profile JSON to: "${authorName}"\n\n` const allPrefs = [preferences, ...tags].filter(Boolean).join(', ') diff --git a/packages/core/src/platform.ts b/packages/core/src/platform.ts index 75497319..3e2b9aff 100644 --- a/packages/core/src/platform.ts +++ b/packages/core/src/platform.ts @@ -70,6 +70,14 @@ export interface PlatformAI { listModels?(): Promise>; /** The currently-configured model id, surfaced by GET /api/available-models. */ currentModel?(): string; + /** + * Approximate total context window (input + output) in tokens for the active + * provider, when it has a hard limit small enough that full prompts overflow + * it. On-device models (Apple Intelligence, Gemma) sit around 4096 tokens, so + * the large analysis/profile prompts must be compacted for them. Hosted + * providers omit this (effectively unbounded for our prompts). + */ + contextWindowTokens?(): number | undefined; } diff --git a/packages/core/src/routes/analyzeAndProfile.ts b/packages/core/src/routes/analyzeAndProfile.ts index 0e6eab08..1e9b0b8d 100644 --- a/packages/core/src/routes/analyzeAndProfile.ts +++ b/packages/core/src/routes/analyzeAndProfile.ts @@ -21,6 +21,7 @@ import type { Platform } from "../platform"; import { jsonResponse } from "../http"; import { buildFullProfilePrompt, validateAndRetryProfile } from "../ai/profilePromptFull"; +import { needsCompactPrompt } from "../ai/contextWindow"; import { convertGeminiToOEPF } from "../logic/oepf"; const BASE64_ALPHABET = @@ -113,7 +114,7 @@ export async function handleAnalyzeAndProfileRoute( .join("\n\n"); const authorName = await resolveAuthorName(platform); - const systemPrompt = buildFullProfilePrompt(authorName, preferences, [], !!image); + const systemPrompt = buildFullProfilePrompt(authorName, preferences, [], !!image, needsCompactPrompt(platform.ai)); const parts: Array> = []; if (image) { diff --git a/packages/core/src/routes/analyzeLlmPrompt.ts b/packages/core/src/routes/analyzeLlmPrompt.ts index 4fa05a31..a7fe634b 100644 --- a/packages/core/src/routes/analyzeLlmPrompt.ts +++ b/packages/core/src/routes/analyzeLlmPrompt.ts @@ -11,9 +11,29 @@ export interface AnalyzeLlmPromptInput { cleanStages: unknown[] facts: ShotFacts tasteContext: string + /** + * Build a compacted prompt that fits a small (~4096-token) context window, + * for on-device providers (Apple Intelligence / Gemma). Drops the large + * profiling/analysis knowledge blocks and the worked example, and serialises + * the profile JSON without pretty-printing, while preserving the exact output + * contract (5 numbered sections + RECOMMENDATIONS_JSON) that the parser needs. + */ + compact?: boolean } +/** + * Condensed analysis framework used in compact mode. Keeps only the rules that + * prevent the most common on-device mistakes (misreading a Targeted exit as a + * failure, inventing values) — the full framework lives in ANALYSIS_KNOWLEDGE. + */ +const COMPACT_ANALYSIS_KNOWLEDGE = `Rules: +- A stage ends when an exit trigger fires. A Targeted exit (weight/time/pressure/flow reached, or a stage with no triggers finishing on its planned dynamics or the global weight target) is CORRECT — never call it "early termination". A Failsafe exit means a backstop fired before the intended target. +- Stall = a timed stage that gained < 0.5 g (puck choked → coarser grind). Channeling = pressure falls while flow rises (uneven puck → fix distribution, not the profile). +- Sour = under-extraction (grind finer / raise temp); bitter = over-extraction (grind coarser / lower temp). +- Only state facts supported by the data below. Do NOT invent pressures, temperatures, weights, or events. Prefer one or two specific, numeric recommendations.` + export function buildAnalyzeLlmPrompt(input: AnalyzeLlmPromptInput): string { + if (input.compact) return buildCompactAnalyzeLlmPrompt(input) const { profileName, temperature, targetWeight, profileDescription, profileVars, cleanStages, facts, tasteContext, @@ -139,3 +159,92 @@ Rules for recommendations: - If no recommendations apply, output an empty array: RECOMMENDATIONS_JSON:\n[]\nEND_RECOMMENDATIONS_JSON ` } + +/** + * Compact analysis prompt for on-device models with a ~4096-token window. + * Preserves the exact output contract (5 numbered sections + RECOMMENDATIONS_JSON) + * so the existing parser/validator keep working, but drops the large knowledge + * blocks and worked example and serialises profile JSON without indentation. + */ +function buildCompactAnalyzeLlmPrompt(input: AnalyzeLlmPromptInput): string { + const { + profileName, temperature, targetWeight, profileDescription, + profileVars, cleanStages, facts, tasteContext, + } = input + return `You are an expert espresso barista analyzing a shot from a Meticulous Espresso Machine. + +## Analysis Rules +${COMPACT_ANALYSIS_KNOWLEDGE} + +## Profile +Name: ${profileName}; Temperature: ${temperature ?? 'Not set'}°C; Target Weight: ${targetWeight ?? 'Not set'}g +${profileDescription ? `Description: ${profileDescription}` : ''} +Variables: ${JSON.stringify(profileVars)} +Stages: ${JSON.stringify(cleanStages)} + +## Shot Facts (authoritative — trust over any assumption) +${buildFactSheet(facts)} +${tasteContext ? `\n${tasteContext}\n` : ''} +--- + +Provide a detailed expert analysis. Use EXACTLY these 5 section headers (## then number, period, space, title) with the bold subsection headers shown, and make ALL content bullet points starting with "- " (1-2 sentences each). Do NOT add extra sections. + +## 1. Shot Performance + +**What Happened:** +- [Stage-by-stage description, notable events, final weight vs target] + +**Assessment:** [Exactly one: Good / Acceptable / Needs Improvement / Problematic] + +## 2. Root Cause Analysis + +**Primary Factors:** +- [Most likely cause] + +**Secondary Considerations:** +- [Other contributing factors] + +## 3. Setup Recommendations + +**Priority Changes:** +- [Most important change — specific with numbers] + +**Additional Suggestions:** +- [Other tweaks] + +## 4. Profile Recommendations + +**Recommended Adjustments:** +- [Specific profile changes: timing, triggers, targets] + +**Reasoning:** +- [Why these changes help] + +## 5. Profile Design Observations + +**Strengths:** +- [Well-designed aspects] + +**Potential Improvements:** +- [Exit trigger or safety limit suggestions] + +## Structured Recommendations (MANDATORY) + +After the sections, output a structured JSON block. Use EXACTLY this format — the markers are parsed programmatically: + +RECOMMENDATIONS_JSON: +[ + { + "variable": "", + "current_value": , + "recommended_value": , + "stage": "", + "confidence": "", + "reason": "" + } +] +END_RECOMMENDATIONS_JSON + +Only include recommendations with a SPECIFIC numeric change. If none apply, output an empty array: RECOMMENDATIONS_JSON:\n[]\nEND_RECOMMENDATIONS_JSON +` +} diff --git a/packages/core/src/routes/shots.ts b/packages/core/src/routes/shots.ts index 8805bfa2..7f1b76cb 100644 --- a/packages/core/src/routes/shots.ts +++ b/packages/core/src/routes/shots.ts @@ -25,6 +25,7 @@ import { computeRichLocalAnalysis, type HistEntry } from "../logic/shotAnalysis" import { buildShotFacts } from "../logic/shotFacts"; import { buildTasteContext } from "../ai/prompts"; import { buildAnalyzeLlmPrompt } from "./analyzeLlmPrompt"; +import { needsCompactPrompt } from "../ai/contextWindow"; import { lintShotAnalysis, validateAgainstFacts, @@ -188,6 +189,7 @@ export async function handleShotAnalysisRoutes( cleanStages, facts, tasteContext, + compact: needsCompactPrompt(platform.ai), }); const generate = async (): Promise => { diff --git a/packages/core/test/contract/analyzeLlmPromptCompact.test.ts b/packages/core/test/contract/analyzeLlmPromptCompact.test.ts new file mode 100644 index 00000000..8e81fe83 --- /dev/null +++ b/packages/core/test/contract/analyzeLlmPromptCompact.test.ts @@ -0,0 +1,88 @@ +import { describe, it, expect } from "vitest"; +import { buildAnalyzeLlmPrompt } from "../../src/routes/analyzeLlmPrompt"; +import type { ShotFacts } from "../../src/logic/shotFacts"; + +const facts: ShotFacts = { + stages: [ + { + stage_name: "Hold", + reached: true, + control_mode: "pressure", + trigger_type: "weight", + trigger_class: { kind: "targeted", label: "Targeted (yield reached)", reason: "" }, + stall: { stalled: false, weight_gain: 30 }, + channeling: { channeling: false, pressure_drop: 0, flow_rise: 0 }, + curve_adherence: null, + }, + ], + phases: [], + weight: { actual: 36, target: 36, deviation_pct: 0 }, + total_time_s: 28, +}; + +describe("buildAnalyzeLlmPrompt (compact / on-device)", () => { + const bigVars = Array.from({ length: 12 }, (_, i) => ({ + name: `Variable ${i}`, key: `var_${i}`, type: "pressure", value: i, + })); + const bigStages = Array.from({ length: 6 }, (_, i) => ({ + name: `Stage ${i}`, type: "pressure", key: `stage_${i}`, + dynamics_points: [[0, 9], [3, 6]], dynamics_over: "time", + exit_triggers: [{ type: "weight", value: 36, comparison: ">=" }], + limits: [{ type: "flow", value: 5 }], + })); + const base = { + profileName: "Test", temperature: 93, targetWeight: 36, profileDescription: "desc", + profileVars: bigVars, cleanStages: bigStages, facts, tasteContext: "", + }; + + it("is materially smaller than the full prompt", () => { + const full = buildAnalyzeLlmPrompt(base); + const compact = buildAnalyzeLlmPrompt({ ...base, compact: true }); + expect(compact.length).toBeLessThan(full.length * 0.6); + }); + + it("fits a ~4096-token window with headroom for output", () => { + // ~4 chars/token: keep the compacted input well under the window so the + // model has room to generate the full analysis without overflowing. + const compact = buildAnalyzeLlmPrompt({ ...base, compact: true }); + expect(compact.length).toBeLessThan(12_000); + }); + + it("drops the heavy knowledge blocks and worked example", () => { + const p = buildAnalyzeLlmPrompt({ ...base, compact: true }); + expect(p).not.toContain("ESPRESSO PROFILING GUIDE"); + expect(p).not.toContain("Worked Example"); + expect(p).not.toContain("EXIT TRIGGER CLASSIFICATION"); + }); + + it("preserves the output contract the parser needs", () => { + const p = buildAnalyzeLlmPrompt({ ...base, compact: true }); + expect(p).toContain("## 1. Shot Performance"); + expect(p).toContain("## 2. Root Cause Analysis"); + expect(p).toContain("## 3. Setup Recommendations"); + expect(p).toContain("## 4. Profile Recommendations"); + expect(p).toContain("## 5. Profile Design Observations"); + expect(p).toContain("**Assessment:**"); + expect(p).toContain("RECOMMENDATIONS_JSON:"); + expect(p).toContain("END_RECOMMENDATIONS_JSON"); + }); + + it("keeps the authoritative fact sheet and profile identity", () => { + const p = buildAnalyzeLlmPrompt({ ...base, compact: true }); + expect(p).toContain("Shot Facts"); + expect(p).toContain("Test"); + }); + + it("serialises profile JSON without pretty-printing (no indented newlines)", () => { + const p = buildAnalyzeLlmPrompt({ ...base, compact: true }); + // Compact JSON contains the keys inline, not on their own indented lines. + expect(p).toContain('"key":"var_0"'); + }); + + it("still includes taste context when provided", () => { + const p = buildAnalyzeLlmPrompt({ + ...base, compact: true, tasteContext: "## Taste Goal\nLess sour.", + }); + expect(p).toContain("Taste Goal"); + }); +}); diff --git a/packages/core/test/contract/contextWindow.test.ts b/packages/core/test/contract/contextWindow.test.ts new file mode 100644 index 00000000..6f249919 --- /dev/null +++ b/packages/core/test/contract/contextWindow.test.ts @@ -0,0 +1,24 @@ +import { describe, it, expect } from "vitest"; +import { needsCompactPrompt, COMPACT_PROMPT_CONTEXT_THRESHOLD } from "../../src/ai/contextWindow"; +import type { PlatformAI } from "../../src/platform"; + +function fakeAI(window?: number): Pick { + return { contextWindowTokens: () => window }; +} + +describe("needsCompactPrompt", () => { + it("is true for a small-window (on-device) provider", () => { + expect(needsCompactPrompt(fakeAI(4096))).toBe(true); + expect(needsCompactPrompt(fakeAI(COMPACT_PROMPT_CONTEXT_THRESHOLD))).toBe(true); + }); + + it("is false when no window is advertised (hosted, effectively unbounded)", () => { + expect(needsCompactPrompt(fakeAI(undefined))).toBe(false); + expect(needsCompactPrompt({})).toBe(false); + }); + + it("is false for a large-window provider", () => { + expect(needsCompactPrompt(fakeAI(COMPACT_PROMPT_CONTEXT_THRESHOLD + 1))).toBe(false); + expect(needsCompactPrompt(fakeAI(1_000_000))).toBe(false); + }); +}); diff --git a/packages/core/test/contract/profilePromptFull.test.ts b/packages/core/test/contract/profilePromptFull.test.ts index 4606dccc..2ed103f7 100644 --- a/packages/core/test/contract/profilePromptFull.test.ts +++ b/packages/core/test/contract/profilePromptFull.test.ts @@ -1,5 +1,5 @@ import { describe, test, expect } from "vitest"; -import { buildFullProfilePrompt, validateAndRetryProfile } from "../../src/ai/profilePromptFull"; +import { buildFullProfilePrompt, buildCompactProfilePrompt, validateAndRetryProfile } from "../../src/ai/profilePromptFull"; const validProfile = { name: "Valid Bloom", @@ -56,6 +56,50 @@ describe("buildFullProfilePrompt", () => { }); }); +describe("buildFullProfilePrompt (compact / on-device)", () => { + const args: [string, string, string[], boolean] = ["Metic", "light roast, 1:3 ratio", ["turbo"], false]; + + test("is materially smaller than the full prompt", () => { + const full = buildFullProfilePrompt(...args); + const compact = buildFullProfilePrompt(...args, true); + expect(compact.length).toBeLessThan(full.length * 0.6); + }); + + test("delegates to the compact builder when compact=true", () => { + const viaFlag = buildFullProfilePrompt(...args, true); + const direct = buildCompactProfilePrompt(...args); + expect(viaFlag).toBe(direct); + }); + + test("preserves the output contract the extractor needs", () => { + const p = buildFullProfilePrompt(...args, true); + expect(p).toContain("**Profile Created:**"); + expect(p).toContain("```json"); + expect(p).toContain("author"); + }); + + test("keeps the rejection-critical validation rules", () => { + const p = buildFullProfilePrompt(...args, true); + expect(p).toMatch(/flow stage must NOT have a flow exit trigger/i); + expect(p).toMatch(/time exit trigger/i); + expect(p).toMatch(/pressure stages need a flow limit/i); + expect(p).toMatch(/relative/i); + }); + + test("honours mandatory user preferences", () => { + const p = buildFullProfilePrompt("Metic", "20g dose", [], false, true); + expect(p).toContain("20g dose"); + expect(p).toMatch(/MANDATORY/i); + }); + + test("adapts the task line for image input", () => { + const withImage = buildFullProfilePrompt("Metic", "", [], true, true); + const noImage = buildFullProfilePrompt("Metic", "", [], false, true); + expect(withImage).toMatch(/coffee bag image/i); + expect(noImage).not.toMatch(/coffee bag image/i); + }); +}); + describe("validateAndRetryProfile", () => { test("returns the original reply when extracted JSON is valid", async () => { let calls = 0; From 05887aaceb733eacd8dd415ff7f0d911565ea13d Mon Sep 17 00:00:00 2001 From: hessius Date: Mon, 13 Jul 2026 07:34:52 +0200 Subject: [PATCH 48/62] fix(web): handle rejected profile-image load in HistoryView effect The loadImages() promise inside the profile-image useEffect was neither awaited nor error-handled, so a rejected fetchImagesForProfiles() would surface as an unhandled rejection (ai-guard high-severity floating promise). Add a .catch() that logs and swallows, matching the non-critical loadSyncStatus() effect above it. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/components/HistoryView.tsx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/apps/web/src/components/HistoryView.tsx b/apps/web/src/components/HistoryView.tsx index 5a541e1f..0feede81 100644 --- a/apps/web/src/components/HistoryView.tsx +++ b/apps/web/src/components/HistoryView.tsx @@ -181,7 +181,9 @@ export function HistoryView({ onBack, onViewProfile, onGenerateNew, onManageMach setProfileImages(images) } - loadImages() + loadImages().catch((err) => { + console.error('Failed to load profile images', err) + }) }, [entries, fetchImagesForProfiles]) // Get all available tags from entries for filtering From 55587df8d56ea47a43dacd896f516be84469bb0a Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 14 Jul 2026 00:23:38 +0200 Subject: [PATCH 49/62] fix(core): credit stage exit trigger reached at the stage transition Port the 2.6.0 shot-analysis boundary fix to @metic/core. The machine flips a telemetry sample's status to the next stage on the tick where the exit condition fires, so the satisfying sample is labeled as the next stage. Exit evaluation now captures each stage's boundary (the next stage's start_* values) and, when the in-stage value falls short of a trigger, rescues it with the transition value instead of falsely reporting "failed". Rescue-only so already-satisfied triggers keep their in-stage reported value. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- packages/core/src/logic/shotAnalysis.ts | 59 ++++++++++++++++--- .../core/test/contract/shotAnalysis.test.ts | 54 +++++++++++++++++ 2 files changed, 104 insertions(+), 9 deletions(-) diff --git a/packages/core/src/logic/shotAnalysis.ts b/packages/core/src/logic/shotAnalysis.ts index e57ce004..1c302a58 100644 --- a/packages/core/src/logic/shotAnalysis.ts +++ b/packages/core/src/logic/shotAnalysis.ts @@ -260,6 +260,7 @@ export function computeRichLocalAnalysis(entry: HistEntry, profileName: string): startWeight: number; endWeight: number startPressure: number; endPressure: number; avgPressure: number; maxPressure: number; minPressure: number startFlow: number; endFlow: number; avgFlow: number; maxFlow: number + boundaryPressure?: number; boundaryFlow?: number; boundaryWeight?: number; boundaryTime?: number } const shotStages = new Map() { @@ -294,6 +295,25 @@ export function computeRichLocalAnalysis(entry: HistEntry, profileName: string): flush() } + // Attach boundary (transition) values. The machine flips a sample's status to + // the next stage on the control tick where the current stage's exit condition + // becomes true, so the sample that satisfies a rising pressure/flow trigger is + // labeled as the FIRST sample of the next stage. Expose it (the next stage's + // start_* values) so exit evaluation credits the stage for the value that + // ended it; otherwise a stage that exits exactly when its target is reached is + // falsely assessed as "failed". + { + const ordered = [...shotStages.entries()] + for (let i = 0; i < ordered.length - 1; i++) { + const cur = ordered[i][1] + const nxt = ordered[i + 1][1] + cur.boundaryPressure = nxt.startPressure + cur.boundaryFlow = nxt.startFlow + cur.boundaryWeight = nxt.startWeight + cur.boundaryTime = nxt.startTime + } + } + let maxPressure = 0, maxFlow = 0 for (const pt of pts) { if ((pt.shot?.pressure ?? 0) > maxPressure) maxPressure = pt.shot?.pressure ?? 0 @@ -443,16 +463,37 @@ export function computeRichLocalAnalysis(entry: HistEntry, profileName: string): const tVal = _resolveVar(tr.value, vars) const comp = tr.comparison ?? '>=' let actual = 0 - if (tType === 'time') actual = sd.duration - else if (tType === 'weight') actual = sd.endWeight - else if (tType === 'pressure') actual = comp === '>=' || comp === '>' ? sd.maxPressure : sd.endPressure - else if (tType === 'flow') actual = comp === '>=' || comp === '>' ? sd.maxFlow : sd.endFlow + let boundaryActual: number | undefined + if (tType === 'time') { + actual = sd.duration + if (sd.boundaryTime !== undefined) boundaryActual = sd.boundaryTime - sd.startTime + } else if (tType === 'weight') { + actual = sd.endWeight + boundaryActual = sd.boundaryWeight + } else if (tType === 'pressure') { + actual = comp === '>=' || comp === '>' ? sd.maxPressure : sd.endPressure + boundaryActual = sd.boundaryPressure + } else if (tType === 'flow') { + actual = comp === '>=' || comp === '>' ? sd.maxFlow : sd.endFlow + boundaryActual = sd.boundaryFlow + } const tol = (tType === 'time' || tType === 'weight') ? 0.5 : 0.2 - let hit = false - if (comp === '>=') hit = actual >= tVal - tol - else if (comp === '>') hit = actual > tVal - else if (comp === '<=') hit = actual <= tVal + tol - else if (comp === '<') hit = actual < tVal + const evalHit = (a: number) => { + if (comp === '>=') return a >= tVal - tol + if (comp === '>') return a > tVal + if (comp === '<=') return a <= tVal + tol + if (comp === '<') return a < tVal + return false + } + let hit = evalHit(actual) + // The machine advances stages on the tick where the exit condition + // fires, so the satisfying sample is labeled as the next stage. If the + // in-stage value falls short, rescue the trigger with that transition + // (boundary) value rather than falsely reporting the stage as failed. + if (!hit && boundaryActual !== undefined && evalHit(boundaryActual)) { + actual = boundaryActual + hit = true + } const u = unitMap[tType] ?? '' const info = { type: tType, target: tVal, actual: _round1(actual), description: `${tType} >= ${tVal}${u}` } if (hit && !triggered) triggered = info diff --git a/packages/core/test/contract/shotAnalysis.test.ts b/packages/core/test/contract/shotAnalysis.test.ts index 55426f75..78f2a4d6 100644 --- a/packages/core/test/contract/shotAnalysis.test.ts +++ b/packages/core/test/contract/shotAnalysis.test.ts @@ -155,4 +155,58 @@ describe('computeRichLocalAnalysis', () => { { time: 10, stage_name: 'Pour', target_flow: 1 }, ]) }) + + it('credits a stage whose rising pressure target is reached exactly at the transition', () => { + // The machine flips status to the next stage on the tick where the exit + // fires, so the crossing sample (3.1 bar) is labeled as the next stage. + const entry: HistEntry = { + id: 'shot-boundary', + time: 1710000000, + name: 'Fill Bloom', + profile: { + name: 'Fill Bloom', + final_weight: 36, + variables: [], + stages: [ + { name: 'Fill', type: 'flow', dynamics: { points: [[0, 8.1]] }, exit_triggers: [{ type: 'pressure', value: 3, comparison: '>=' }], limits: [] }, + { name: 'Bloom', type: 'pressure', dynamics: { points: [[0, 3]] }, exit_triggers: [], limits: [] }, + ], + }, + data: [ + ...[0.2, 0.5, 0.9, 1.3, 1.7, 2.0, 2.2].map((p, i) => ({ time: i * 130, profile_time: i * 130, status: 'Fill', shot: { pressure: p, flow: 7.5, weight: 0 } })), + ...[3.1, 3.4, 2.0, 1.5, 1.2].map((p, i) => ({ time: (7 + i) * 130, profile_time: (7 + i) * 130, status: 'Bloom', shot: { pressure: p, flow: 1.0, weight: 0.5 } })), + ], + } + + const analysis = computeRichLocalAnalysis(entry, 'Fill Bloom') + const fill = analysis.stage_analyses.find((s: { stage_name: string }) => s.stage_name === 'Fill') + expect(fill.assessment.status).toBe('reached_goal') + expect(fill.exit_trigger_result.triggered.type).toBe('pressure') + expect(fill.exit_trigger_result.triggered.actual).toBeGreaterThanOrEqual(3.0) + }) + + it('still fails a stage when neither it nor the transition reaches the target', () => { + const entry: HistEntry = { + id: 'shot-boundary-fail', + time: 1710000000, + name: 'Fill Bloom', + profile: { + name: 'Fill Bloom', + final_weight: 36, + variables: [], + stages: [ + { name: 'Fill', type: 'flow', dynamics: { points: [[0, 8.1]] }, exit_triggers: [{ type: 'pressure', value: 3, comparison: '>=' }], limits: [] }, + { name: 'Bloom', type: 'pressure', dynamics: { points: [[0, 3]] }, exit_triggers: [], limits: [] }, + ], + }, + data: [ + ...[0.2, 0.5, 0.9, 1.3, 1.7].map((p, i) => ({ time: i * 130, profile_time: i * 130, status: 'Fill', shot: { pressure: p, flow: 7.5, weight: 0 } })), + ...[1.9, 1.8, 1.5].map((p, i) => ({ time: (5 + i) * 130, profile_time: (5 + i) * 130, status: 'Bloom', shot: { pressure: p, flow: 1.0, weight: 0.5 } })), + ], + } + + const analysis = computeRichLocalAnalysis(entry, 'Fill Bloom') + const fill = analysis.stage_analyses.find((s: { stage_name: string }) => s.stage_name === 'Fill') + expect(fill.assessment.status).toBe('failed') + }) }) From 3ad3eb4bc9802361441bc2e12c1dbf6d39ff6cd8 Mon Sep 17 00:00:00 2001 From: hessius Date: Tue, 14 Jul 2026 07:29:22 +0200 Subject: [PATCH 50/62] fix(ai): make the AI gate provider-aware and promote AI_MODE when a hosted key is saved Two defensive fixes for a hosted API key not taking effect until reinstall or re-onboarding: - The App AI gate and native Keychain mirror hardcoded the Gemini key slot, so a non-Gemini hosted provider (OpenAI/OpenRouter/compatible) never flipped the gate. Both now use the active provider's slot and isAIConfigured() (mode- and provider-aware) as the single source of truth. - Settings never called setAIMode('hosted') the way onboarding does, so a stored 'none'/degraded mode left a freshly entered hosted key inert. Saving a hosted key in Settings now promotes AI_MODE to hosted when it is not already hosted-inclusive, mirroring the onboarding path. Red-green tested on both runtimes (App.direct + SettingsView.nativeKey). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/src/App.direct.test.tsx | 54 +++++++++++++++++++ apps/web/src/App.tsx | 19 ++++--- .../SettingsView.nativeKey.test.tsx | 23 ++++++++ apps/web/src/components/SettingsView.tsx | 8 +++ 4 files changed, 97 insertions(+), 7 deletions(-) diff --git a/apps/web/src/App.direct.test.tsx b/apps/web/src/App.direct.test.tsx index ed2cf81d..70728254 100644 --- a/apps/web/src/App.direct.test.tsx +++ b/apps/web/src/App.direct.test.tsx @@ -3,6 +3,17 @@ import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest' import type { ReactNode, HTMLAttributes } from 'react' import { hasFeature, type FeatureFlags } from '@/lib/featureFlags' import { isDemoMode, isDirectMode, isNativePlatform } from '@/lib/machineMode' +import { STORAGE_KEYS } from '@/lib/constants' + +const secureStorageMock = vi.hoisted(() => ({ + getItem: vi.fn<(key: string) => Promise>(async () => null), + setItem: vi.fn(async () => {}), + removeItem: vi.fn(async () => {}), +})) + +vi.mock('@aparajita/capacitor-secure-storage', () => ({ + SecureStorage: secureStorageMock, +})) vi.mock('react-i18next', () => ({ initReactI18next: { type: '3rdParty', init: vi.fn() }, @@ -93,6 +104,10 @@ vi.mock('@/hooks/useSmartGreeting', () => ({ useSmartGreeting: () => null, })) +vi.mock('@/hooks/useBrewNotifications', () => ({ + useBrewNotifications: () => ({ notifyPreheatComplete: vi.fn() }), +})) + vi.mock('@/hooks/useLastShot', () => ({ useLastShot: () => ({ lastShot: null }), })) @@ -221,3 +236,42 @@ describe('App cloud sync guard', () => { expect(localStorage.getItem('meticai-auto-sync-ai-description')).toBe('true') }) }) + +describe('App AI gate — provider-aware Keychain mirror', () => { + beforeEach(() => { + mockedIsDemoMode.mockReturnValue(false) + mockedIsDirectMode.mockReturnValue(true) + mockedIsNativePlatform.mockReturnValue(true) + mockedHasFeature.mockImplementation((feature: keyof FeatureFlags) => feature !== 'cloudSync') + localStorage.clear() + secureStorageMock.getItem.mockReset() + secureStorageMock.getItem.mockImplementation(async () => null) + }) + + afterEach(() => { + vi.unstubAllGlobals() + vi.restoreAllMocks() + localStorage.clear() + }) + + it('mirrors the active hosted provider key slot from the Keychain, not just the Gemini slot', async () => { + // A hosted user configured a non-Gemini provider (OpenAI). Its key lives in + // the Keychain under the provider-specific slot, not the Gemini slot. + localStorage.setItem(STORAGE_KEYS.AI_PROVIDER, 'openai') + localStorage.setItem(STORAGE_KEYS.AI_MODE, 'hosted') + localStorage.setItem(STORAGE_KEYS.ONBOARDING_COMPLETE, 'true') + const openaiSlot = `${STORAGE_KEYS.AI_KEY_PREFIX}openai` + secureStorageMock.getItem.mockImplementation(async (key: string) => + key === openaiSlot ? 'sk-openaikey' : null) + + render() + + // The gate must consult the active provider's slot so the key takes effect + // without re-onboarding; hardcoding the Gemini slot leaves it inert. + await waitFor(() => { + expect(localStorage.getItem(openaiSlot)).toBe('sk-openaikey') + }) + expect(secureStorageMock.getItem).toHaveBeenCalledWith(openaiSlot) + }) +}) + diff --git a/apps/web/src/App.tsx b/apps/web/src/App.tsx index 9e2bd534..aebc8c5e 100644 --- a/apps/web/src/App.tsx +++ b/apps/web/src/App.tsx @@ -45,6 +45,7 @@ import { useBackgroundBlobs } from '@/hooks/useBackgroundBlobs' import { useThemePreference } from '@/hooks/useThemePreference' import { Sun, Moon, Gear, ArrowRight } from '@phosphor-icons/react' import { AI_PREFS_CHANGED_EVENT, getAiEnabled, getHideAiWhenUnavailable, getAutoSync, getAutoSyncAiDescription, syncAutoSyncFromServer } from '@/lib/aiPreferences' +import { isAIConfigured, apiKeyStorageKey, getActiveProviderId } from '@/services/ai/providers' // Phase 3 — Control Center & live telemetry import { useMachineTelemetry } from '@/hooks/useMachineTelemetry' @@ -197,20 +198,24 @@ function App() { // In direct or demo mode, no MeticAI backend — use sensible defaults if (isDemoMode() || isDirectMode()) { setMqttEnabled(true) // DemoAdapter / Socket.IO provides telemetry - // On native, the API key may be in SecureStorage (Keychain) but not in localStorage. - // Mirror it so synchronous checks (BrowserAIService, feature flags) find it. - if (isNativePlatform() && !localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY)?.trim()) { + // On native, the active hosted provider's key may be in SecureStorage + // (Keychain) but not in localStorage. Mirror the ACTIVE provider's slot + // (not just Gemini) so synchronous checks (BrowserAIService, feature + // flags, the AI gate) find it and the key takes effect without + // re-onboarding. + const activeKeySlot = apiKeyStorageKey(getActiveProviderId()) + if (isNativePlatform() && !localStorage.getItem(activeKeySlot)?.trim()) { try { const { SecureStorage } = await import('@aparajita/capacitor-secure-storage') - const secureKey = await SecureStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY) + const secureKey = await SecureStorage.getItem(activeKeySlot) if (secureKey?.trim()) { - localStorage.setItem(STORAGE_KEYS.GEMINI_API_KEY, secureKey) + localStorage.setItem(activeKeySlot, secureKey) } } catch { // SecureStorage unavailable — skip migration } } - setIsAiConfigured(Boolean(localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY)?.trim())) + setIsAiConfigured(isAIConfigured()) return } try { @@ -260,7 +265,7 @@ function App() { setHideAiWhenUnavailable(getHideAiWhenUnavailable()) // Re-check API key availability (may have been added/removed in Settings) if (isDemoMode() || isDirectMode()) { - setIsAiConfigured(Boolean(localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY)?.trim())) + setIsAiConfigured(isAIConfigured()) } else { // Proxy/server mode: re-fetch from the backend so the AI gate refreshes // immediately when a key is added in Settings, without waiting to leave diff --git a/apps/web/src/components/SettingsView.nativeKey.test.tsx b/apps/web/src/components/SettingsView.nativeKey.test.tsx index 982fc9d9..41d0eb6a 100644 --- a/apps/web/src/components/SettingsView.nativeKey.test.tsx +++ b/apps/web/src/components/SettingsView.nativeKey.test.tsx @@ -147,6 +147,29 @@ describe('SettingsView native-mode API key save', () => { }) }) + it('promotes AI_MODE to hosted when a hosted key is saved while the mode is not hosted-inclusive', async () => { + secureStorageMock.setItem.mockImplementation(async () => {}) + // A stored non-hosted mode ('none') leaves a freshly entered hosted key inert + // (isAIConfigured stays false) until the user re-onboards. Saving the key in + // Settings must promote the mode to hosted, mirroring the onboarding path. + storageBacking.set(STORAGE_KEYS.AI_MODE, 'none') + + await act(async () => { + render( {}} />) + await new Promise(resolve => setTimeout(resolve, 0)) + }) + + const aiSection = await screen.findByText('settings.aiSettings') + fireEvent.click(aiSection) + const input = await screen.findByLabelText('settings.providerApiKey') + + fireEvent.change(input, { target: { value: 'AIzaNATIVEKEY' } }) + await act(async () => { await new Promise(resolve => setTimeout(resolve, 850)) }) + + expect(localStorage.getItem(STORAGE_KEYS.GEMINI_API_KEY)).toBe('AIzaNATIVEKEY') + expect(localStorage.getItem(STORAGE_KEYS.AI_MODE)).toBe('hosted') + }) + it('removes the stored key from localStorage and the Keychain when the field is cleared', async () => { secureStorageMock.setItem.mockImplementation(async () => {}) await act(async () => { diff --git a/apps/web/src/components/SettingsView.tsx b/apps/web/src/components/SettingsView.tsx index cde28203..602e51ad 100644 --- a/apps/web/src/components/SettingsView.tsx +++ b/apps/web/src/components/SettingsView.tsx @@ -511,6 +511,14 @@ export function SettingsView({ onBack, onRestartOnboarding, showBlobs, onToggleB } catch { /* localStorage unavailable — non-critical */ } // Persist to the Keychain in the background; must not block the UI gate. void Promise.resolve(secureSetItem(keyStorageKey, apiKey)).catch(() => {}) + // Mirror onboarding: saving a hosted key must move AI into a + // hosted-inclusive mode. Without this, a stored 'none'/degraded mode + // leaves the freshly entered key inert until the user re-onboards. + const rawMode = localStorage.getItem(STORAGE_KEYS.AI_MODE) + if (rawMode !== 'hosted' && rawMode !== 'both') { + setAIMode('hosted') + setAiModeState('hosted') + } window.dispatchEvent(new CustomEvent(AI_PREFS_CHANGED_EVENT, { detail: { apiKeyChanged: true } })) } if (nextSettings.authorName) { From cdd6ecbbadc643721b8629bc8f4d37b8679b65bd Mon Sep 17 00:00:00 2001 From: hessius Date: Thu, 16 Jul 2026 07:29:56 +0200 Subject: [PATCH 51/62] chore(deps): drop unused react-day-picker and dead ui/calendar component The shadcn Calendar scaffold (ui/calendar.tsx) was never imported anywhere in the app, making react-day-picker dead weight. Remove both instead of upgrading unused code to v10, which also ends future Dependabot noise for this dependency. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/bun.lock | 11 ---- apps/web/package.json | 1 - apps/web/src/components/ui/calendar.tsx | 73 ------------------------- 3 files changed, 85 deletions(-) delete mode 100644 apps/web/src/components/ui/calendar.tsx diff --git a/apps/web/bun.lock b/apps/web/bun.lock index c7227642..a017a8ff 100644 --- a/apps/web/bun.lock +++ b/apps/web/bun.lock @@ -87,7 +87,6 @@ "octokit": "^5.0.5", "qrcode.react": "^4.2.0", "react": "^19.2.7", - "react-day-picker": "^9.14.0", "react-dom": "^19.2.7", "react-easy-crop": "^6.0.2", "react-error-boundary": "^6.1.2", @@ -451,8 +450,6 @@ "@csstools/css-tokenizer": ["@csstools/css-tokenizer@4.0.0", "", {}, "sha512-QxULHAm7cNu72w97JUNCBFODFaXpbDg+dP8b/oWFAZ2MTRppA3U00Y2L1HqaS4J6yBqxwa/Y3nMBaxVKbB/NsA=="], - "@date-fns/tz": ["@date-fns/tz@1.4.1", "", {}, "sha512-P5LUNhtbj6YfI3iJjw5EL9eUAG6OitD0W3fWQcpQjDRc/QIsL0tRNuO1PcDvPccWL1fSTXXdE1ds+l95DV/OFA=="], - "@emnapi/core": ["@emnapi/core@1.9.2", "", { "dependencies": { "@emnapi/wasi-threads": "1.2.1", "tslib": "^2.4.0" } }, "sha512-UC+ZhH3XtczQYfOlu3lNEkdW/p4dsJ1r/bP7H8+rhao3TTTMO1ATq/4DdIi23XuGoFY+Cz0JmCbdVl0hz9jZcA=="], "@emnapi/runtime": ["@emnapi/runtime@1.9.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-3U4+MIWHImeyu1wnmVygh5WlgfYDtyf0k8AbLhMFxOipihf6nrWC4syIm/SwEeec0mNSafiiNnMJwbza/Is6Lw=="], @@ -1121,8 +1118,6 @@ "@swc/types": ["@swc/types@0.1.26", "", { "dependencies": { "@swc/counter": "^0.1.3" } }, "sha512-lyMwd7WGgG79RS7EERZV3T8wMdmPq3xwyg+1nmAM64kIhx5yl+juO2PYIHb7vTiPgPCj8LYjsNV2T5wiQHUEaw=="], - "@tabby_ai/hijri-converter": ["@tabby_ai/hijri-converter@1.0.5", "", {}, "sha512-r5bClKrcIusDoo049dSL8CawnHR6mRdDwhlQuIgZRNty68q0x8k3Lf1BtPAMxRf/GgnHBnIO4ujd3+GQdLWzxQ=="], - "@tailwindcss/container-queries": ["@tailwindcss/container-queries@0.1.1", "", { "peerDependencies": { "tailwindcss": ">=3.2.0" } }, "sha512-p18dswChx6WnTSaJCSGx6lTmrGzNNvm2FtXmiO6AuA1V4U5REyoqwmT6kgAsIMdjo07QdAfYXHJ4hnMtfHzWgA=="], "@tailwindcss/node": ["@tailwindcss/node@4.3.1", "", { "dependencies": { "@jridgewell/remapping": "^2.3.5", "enhanced-resolve": "5.21.6", "jiti": "^2.7.0", "lightningcss": "1.32.0", "magic-string": "^0.30.21", "source-map-js": "^1.2.1", "tailwindcss": "4.3.1" } }, "sha512-6NDaqRoAMSXD1mr/RXu0HBvNE9a2n5tHPsxu9XHLws8o4Twes5rBM2205SUUiJ9goAtadrN6xTGX0UDEwp/N4A=="], @@ -1725,8 +1720,6 @@ "date-fns": ["date-fns@4.4.0", "", {}, "sha512-+1UMbeh68lH1SegH83CGWwpb6OHHbpSgr3+s5Eww5M4CAgswBpoWS0AjTOfEJ33HiYKz1hdj/KTFprzXHmq/6w=="], - "date-fns-jalali": ["date-fns-jalali@4.1.0-0", "", {}, "sha512-hTIP/z+t+qKwBDcmmsnmjWTduxCg+5KfdqWQvb2X/8C9+knYY6epN/pfxdDuyVlSVeFz0sM5eEfwIUQ70U4ckg=="], - "dateformat": ["dateformat@3.0.3", "", {}, "sha512-jyCETtSl3VMZMWeRo7iY1FL19ges1t55hMo5yaam4Jrsm5EPL89UQkoQRyiI+Yf4k8r2ZpdngkV8hr1lIdjb3Q=="], "debug": ["debug@4.3.4", "", { "dependencies": { "ms": "2.1.2" } }, "sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ=="], @@ -2647,8 +2640,6 @@ "react": ["react@19.2.7", "", {}, "sha512-HNe9WslTbXmFK8o8cmwgAeJFSBvt1bPdHCVKtaaV+WlAN36mpT4hcRpwbf3fY56ar2oIXzsBpOAiIRHAdY0OlQ=="], - "react-day-picker": ["react-day-picker@9.14.0", "", { "dependencies": { "@date-fns/tz": "^1.4.1", "@tabby_ai/hijri-converter": "1.0.5", "date-fns": "^4.1.0", "date-fns-jalali": "4.1.0-0" }, "peerDependencies": { "react": ">=16.8.0" } }, "sha512-tBaoDWjPwe0M5pGrum4H0SR6Lyk+BO9oHnp9JbKpGKW2mlraNPgP9BMfsg5pWpwrssARmeqk7YBl2oXutZTaHA=="], - "react-docgen": ["react-docgen@8.0.3", "", { "dependencies": { "@babel/core": "^7.28.0", "@babel/traverse": "^7.28.0", "@babel/types": "^7.28.2", "@types/babel__core": "^7.20.5", "@types/babel__traverse": "^7.20.7", "@types/doctrine": "^0.0.9", "@types/resolve": "^1.20.2", "doctrine": "^3.0.0", "resolve": "^1.22.1", "strip-indent": "^4.0.0" } }, "sha512-aEZ9qP+/M+58x2qgfSFEWH1BxLyHe5+qkLNJOZQb5iGS017jpbRnoKhNRrXPeA6RfBrZO5wZrT9DMC1UqE1f1w=="], "react-docgen-typescript": ["react-docgen-typescript@2.4.0", "", { "peerDependencies": { "typescript": ">= 4.3.x" } }, "sha512-ZtAp5XTO5HRzQctjPU0ybY0RRCQO19X/8fxn3w7y2VVTUbGHDKULPTL4ky3vB05euSgG5NpALhEhDPvQ56wvXg=="], @@ -3867,8 +3858,6 @@ "rc/ini": ["ini@1.3.8", "", {}, "sha512-JV/yugV2uzW5iMRSiZAyDtQd+nxtUnjeLt0acNdw98kKLrvuRVyB80tsREOE7yvGVgalhZ6RNXCmEHkUKBKxew=="], - "react-day-picker/date-fns": ["date-fns@4.1.0", "", {}, "sha512-Ukq0owbQXxa/U3EGtsdVBkR1w7KOQ5gIBqdH2hkvknzZPYvBxb/aa6E8L7tmjFtkwZBu3UXBbjIgPo/Ez4xaNg=="], - "react-docgen/@babel/traverse": ["@babel/traverse@7.29.0", "", { "dependencies": { "@babel/code-frame": "^7.29.0", "@babel/generator": "^7.29.0", "@babel/helper-globals": "^7.28.0", "@babel/parser": "^7.29.0", "@babel/template": "^7.28.6", "@babel/types": "^7.29.0", "debug": "^4.3.1" } }, "sha512-4HPiQr0X7+waHfyXPZpWPfWL/J7dcN1mx9gL6WdQVMbPnF3+ZhSMs8tCxN7oHddJE9fhNE7+lxdnlyemKfJRuA=="], "react-docgen/@babel/types": ["@babel/types@7.29.0", "", { "dependencies": { "@babel/helper-string-parser": "^7.27.1", "@babel/helper-validator-identifier": "^7.28.5" } }, "sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A=="], diff --git a/apps/web/package.json b/apps/web/package.json index 108b237a..b245f9af 100644 --- a/apps/web/package.json +++ b/apps/web/package.json @@ -108,7 +108,6 @@ "octokit": "^5.0.5", "qrcode.react": "^4.2.0", "react": "^19.2.7", - "react-day-picker": "^9.14.0", "react-dom": "^19.2.7", "react-easy-crop": "^6.0.2", "react-error-boundary": "^6.1.2", diff --git a/apps/web/src/components/ui/calendar.tsx b/apps/web/src/components/ui/calendar.tsx deleted file mode 100644 index 3675464d..00000000 --- a/apps/web/src/components/ui/calendar.tsx +++ /dev/null @@ -1,73 +0,0 @@ -import { ComponentProps } from "react" -import { ChevronLeft, ChevronRight } from "lucide-react" -import { DayPicker } from "react-day-picker" - -import { cn } from "@/lib/utils" -import { buttonVariants } from "@/components/ui/button" - -function Calendar({ - className, - classNames, - showOutsideDays = true, - ...props -}: ComponentProps) { - return ( - .day-range-end)]:rounded-r-md [&:has(>.day-range-start)]:rounded-l-md first:[&:has([aria-selected])]:rounded-l-md last:[&:has([aria-selected])]:rounded-r-md" - : "[&:has([aria-selected])]:rounded-md" - ), - day: cn( - buttonVariants({ variant: "ghost" }), - "size-8 p-0 font-normal aria-selected:opacity-100" - ), - day_range_start: - "day-range-start aria-selected:bg-primary aria-selected:text-primary-foreground", - day_range_end: - "day-range-end aria-selected:bg-primary aria-selected:text-primary-foreground", - day_selected: - "bg-primary text-primary-foreground hover:bg-primary hover:text-primary-foreground focus:bg-primary focus:text-primary-foreground", - day_today: "bg-accent text-accent-foreground", - day_outside: - "day-outside text-muted-foreground aria-selected:text-muted-foreground", - day_disabled: "text-muted-foreground opacity-50", - day_range_middle: - "aria-selected:bg-accent aria-selected:text-accent-foreground", - day_hidden: "invisible", - ...classNames, - }} - components={{ - PreviousMonthButton: ({ className: btnClassName }) => ( - - ), - NextMonthButton: ({ className: btnClassName }) => ( - - ), - }} - {...props} - /> - ) -} - -export { Calendar } From d015a26d73c9ab9cfc4ffc4d03e3c8a8f6fef4ed Mon Sep 17 00:00:00 2001 From: hessius Date: Thu, 16 Jul 2026 07:41:49 +0200 Subject: [PATCH 52/62] ci: use metic healthcheck instead of curl in build-publish smoke test The Phase 6 distroless single-binary image has no curl, so the post-build container smoke test in build-publish.yml failed at `docker exec test-container curl -f .../health` even though the container reports healthy. Switch to the binary's own healthcheck subcommand, matching tests.yml. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .github/workflows/build-publish.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build-publish.yml b/.github/workflows/build-publish.yml index ffb2b15d..3fa55987 100644 --- a/.github/workflows/build-publish.yml +++ b/.github/workflows/build-publish.yml @@ -129,8 +129,8 @@ jobs: # Check container is running docker ps | grep test-container - # Check health endpoint - docker exec test-container curl -f http://localhost:3550/health || exit 1 + # Check health endpoint (distroless image has no curl; use the binary's own healthcheck) + docker exec test-container /app/metic healthcheck || exit 1 - name: Cleanup if: always() From 2a23a960b757755332badda5047dc731ee5c85e9 Mon Sep 17 00:00:00 2001 From: hessius Date: Thu, 16 Jul 2026 18:52:30 +0200 Subject: [PATCH 53/62] feat(profiles): import from metprofiles links, direct URLs, and raw JSON Adds a shared @metic/core profile-source resolver (resolveProfileFromSource) that turns any share input into a Meticulous profile: metprofiles.link/profile/{id} links (resolved via the site's public /api/profiles/{id}/download endpoint), direct links to JSON profiles, and raw profile JSON text. Decent Espresso profiles are auto-detected and converted in every path. The /api/import-from-url route now runs every input through the resolver, so both runtimes (Bun server + browser/native app) behave identically. The ProfileImportDialog 'From link' step becomes a unified link-or-JSON source box (metprofiles, direct URL, or pasted JSON), sharing one code path. Verified end-to-end: the shipped resolver fetches the live metprofiles Slay-ish link and produces a profile deep-equal to the machine's JSON export. Tests: 15 resolver unit tests + 4 route contract tests + 3 dialog component tests. i18n updated for all 6 locales. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- apps/web/public/locales/de/translation.json | 14 +- apps/web/public/locales/en/translation.json | 14 +- apps/web/public/locales/es/translation.json | 14 +- apps/web/public/locales/fr/translation.json | 14 +- apps/web/public/locales/it/translation.json | 14 +- apps/web/public/locales/sv/translation.json | 14 +- .../ProfileImportDialog.import.test.tsx | 94 +++++++++ .../src/components/ProfileImportDialog.tsx | 47 +++-- apps/web/src/services/profileSource.ts | 2 + packages/core/package.json | 1 + packages/core/src/logic/profileSource.ts | 185 ++++++++++++++++++ packages/core/src/routes/profilesCrud.ts | 51 ++--- .../core/test/contract/profileSource.test.ts | 160 +++++++++++++++ .../core/test/contract/profilesCrud.test.ts | 50 +++++ 14 files changed, 596 insertions(+), 78 deletions(-) create mode 100644 apps/web/src/components/ProfileImportDialog.import.test.tsx create mode 100644 apps/web/src/services/profileSource.ts create mode 100644 packages/core/src/logic/profileSource.ts create mode 100644 packages/core/test/contract/profileSource.test.ts diff --git a/apps/web/public/locales/de/translation.json b/apps/web/public/locales/de/translation.json index eb44ff46..7774185a 100644 --- a/apps/web/public/locales/de/translation.json +++ b/apps/web/public/locales/de/translation.json @@ -748,16 +748,10 @@ "fetchDetailsFailed": "Fehler beim Abrufen der Profildetails", "noResponseStream": "Kein Antwortstream verfügbar", "bulkImportStartFailed": "Fehler beim Starten des Massenimports", - "fromUrl": "Von URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Von URL importieren", - "urlPlaceholder": "Profil-URL einfügen...", - "urlHint": "Unterstützt .json- und .met-Profil-URLs", "back": "Zurück", "importButton": "Importieren", "fetchingUrl": "Profil von URL abrufen...", "importUrlFailed": "Import von URL fehlgeschlagen", - "invalidUrl": "Bitte geben Sie eine gültige URL ein", "decentEspresso": "Decent", "decentDescription": "Konvertieren & importieren", "decentImportHint": "Laden Sie eine Decent Espresso-Profil-JSON hoch oder fügen Sie sie ein, um sie ins Meticulous-Format zu konvertieren.", @@ -770,7 +764,13 @@ "notDecentFormat": "Kein gültiges Decent Espresso-Profilformat", "profileName": "Name", "stages": "Stufen", - "triggers": "Auslöser" + "triggers": "Auslöser", + "fromLink": "Aus Link", + "linkOrJson": "Link oder JSON", + "importFromLink": "Aus Link oder JSON importieren", + "sourcePlaceholder": "Füge einen metprofiles-Link, eine Profil-URL oder Profil-JSON ein...", + "sourceHint": "Unterstützt metprofiles.link, direkte .json/.met-Links und eingefügtes Profil-JSON", + "invalidSource": "Gib einen gültigen Link oder Profil-JSON ein" }, "imageCrop": { "title": "Profilbild zuschneiden", diff --git a/apps/web/public/locales/en/translation.json b/apps/web/public/locales/en/translation.json index f01148ba..6f2ff4e2 100644 --- a/apps/web/public/locales/en/translation.json +++ b/apps/web/public/locales/en/translation.json @@ -753,16 +753,10 @@ "bulkImportStartFailed": "Failed to start bulk import", "noResponseStream": "No response stream available", "fetchDetailsFailed": "Failed to fetch profile details", - "fromUrl": "From URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Import from URL", - "urlPlaceholder": "Paste profile URL...", - "urlHint": "Supports .json and .met profile URLs", "back": "Back", "importButton": "Import", "fetchingUrl": "Fetching profile from URL...", "importUrlFailed": "Failed to import from URL", - "invalidUrl": "Please enter a valid URL", "decentEspresso": "Decent", "decentDescription": "Convert & import", "decentImportHint": "Upload or paste a Decent Espresso profile JSON to convert it to Meticulous format.", @@ -775,7 +769,13 @@ "notDecentFormat": "Not a valid Decent Espresso profile format", "profileName": "Name", "stages": "stages", - "triggers": "triggers" + "triggers": "triggers", + "fromLink": "From link", + "linkOrJson": "Link or JSON", + "importFromLink": "Import from link or JSON", + "sourcePlaceholder": "Paste a metprofiles link, a profile URL, or profile JSON...", + "sourceHint": "Supports metprofiles.link, direct .json/.met links, and pasted profile JSON", + "invalidSource": "Enter a valid link or profile JSON" }, "imageCrop": { "title": "Crop Profile Image", diff --git a/apps/web/public/locales/es/translation.json b/apps/web/public/locales/es/translation.json index f95e131e..ae21d39e 100644 --- a/apps/web/public/locales/es/translation.json +++ b/apps/web/public/locales/es/translation.json @@ -748,16 +748,10 @@ "fetchDetailsFailed": "Error al obtener detalles del perfil", "noResponseStream": "No hay flujo de respuesta disponible", "bulkImportStartFailed": "Error al iniciar la importación masiva", - "fromUrl": "Desde URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Importar desde URL", - "urlPlaceholder": "Pegar URL del perfil...", - "urlHint": "Admite URLs de perfiles .json y .met", "back": "Atrás", "importButton": "Importar", "fetchingUrl": "Obteniendo perfil desde URL...", "importUrlFailed": "Error al importar desde URL", - "invalidUrl": "Introduce una URL válida", "decentEspresso": "Decent", "decentDescription": "Convertir e importar", "decentImportHint": "Sube o pega un JSON de perfil Decent Espresso para convertirlo al formato Meticulous.", @@ -770,7 +764,13 @@ "notDecentFormat": "No es un formato de perfil Decent Espresso válido", "profileName": "Nombre", "stages": "etapas", - "triggers": "disparadores" + "triggers": "disparadores", + "fromLink": "Desde enlace", + "linkOrJson": "Enlace o JSON", + "importFromLink": "Importar desde enlace o JSON", + "sourcePlaceholder": "Pega un enlace de metprofiles, una URL de perfil o el JSON del perfil...", + "sourceHint": "Compatible con metprofiles.link, enlaces directos .json/.met y JSON de perfil pegado", + "invalidSource": "Introduce un enlace válido o el JSON de un perfil" }, "imageCrop": { "title": "Recortar imagen de perfil", diff --git a/apps/web/public/locales/fr/translation.json b/apps/web/public/locales/fr/translation.json index 4edb5568..0da2a0b8 100644 --- a/apps/web/public/locales/fr/translation.json +++ b/apps/web/public/locales/fr/translation.json @@ -748,16 +748,10 @@ "fetchDetailsFailed": "Échec de la récupération des détails du profil", "noResponseStream": "Aucun flux de réponse disponible", "bulkImportStartFailed": "Échec du démarrage de l'importation en masse", - "fromUrl": "Depuis URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Importer depuis URL", - "urlPlaceholder": "Coller l'URL du profil...", - "urlHint": "Prend en charge les URL de profils .json et .met", "back": "Retour", "importButton": "Importer", "fetchingUrl": "Récupération du profil depuis l'URL...", "importUrlFailed": "Échec de l'importation depuis l'URL", - "invalidUrl": "Veuillez entrer une URL valide", "decentEspresso": "Decent", "decentDescription": "Convertir et importer", "decentImportHint": "Téléchargez ou collez un JSON de profil Decent Espresso pour le convertir au format Meticulous.", @@ -770,7 +764,13 @@ "notDecentFormat": "Format de profil Decent Espresso non valide", "profileName": "Nom", "stages": "étapes", - "triggers": "déclencheurs" + "triggers": "déclencheurs", + "fromLink": "Depuis un lien", + "linkOrJson": "Lien ou JSON", + "importFromLink": "Importer depuis un lien ou JSON", + "sourcePlaceholder": "Collez un lien metprofiles, une URL de profil ou le JSON du profil...", + "sourceHint": "Prend en charge metprofiles.link, les liens directs .json/.met et le JSON de profil collé", + "invalidSource": "Saisissez un lien valide ou le JSON d'un profil" }, "imageCrop": { "title": "Recadrer l'image du profil", diff --git a/apps/web/public/locales/it/translation.json b/apps/web/public/locales/it/translation.json index b4715b84..2f8064b7 100644 --- a/apps/web/public/locales/it/translation.json +++ b/apps/web/public/locales/it/translation.json @@ -748,16 +748,10 @@ "fetchDetailsFailed": "Impossibile recuperare i dettagli del profilo", "noResponseStream": "Nessun flusso di risposta disponibile", "bulkImportStartFailed": "Impossibile avviare l'importazione di massa", - "fromUrl": "Da URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Importa da URL", - "urlPlaceholder": "Incolla URL del profilo...", - "urlHint": "Supporta URL di profili .json e .met", "back": "Indietro", "importButton": "Importa", "fetchingUrl": "Recupero del profilo dall'URL...", "importUrlFailed": "Importazione da URL non riuscita", - "invalidUrl": "Inserisci un URL valido", "decentEspresso": "Decent", "decentDescription": "Converti e importa", "decentImportHint": "Carica o incolla un JSON di profilo Decent Espresso per convertirlo nel formato Meticulous.", @@ -770,7 +764,13 @@ "notDecentFormat": "Formato profilo Decent Espresso non valido", "profileName": "Nome", "stages": "fasi", - "triggers": "trigger" + "triggers": "trigger", + "fromLink": "Da link", + "linkOrJson": "Link o JSON", + "importFromLink": "Importa da link o JSON", + "sourcePlaceholder": "Incolla un link metprofiles, un URL del profilo o il JSON del profilo...", + "sourceHint": "Supporta metprofiles.link, link diretti .json/.met e JSON del profilo incollato", + "invalidSource": "Inserisci un link valido o il JSON di un profilo" }, "imageCrop": { "title": "Ritaglia immagine profilo", diff --git a/apps/web/public/locales/sv/translation.json b/apps/web/public/locales/sv/translation.json index eabd408a..3a0bb7c1 100644 --- a/apps/web/public/locales/sv/translation.json +++ b/apps/web/public/locales/sv/translation.json @@ -753,16 +753,10 @@ "fetchDetailsFailed": "Kunde inte hämta profildetaljer", "noResponseStream": "Ingen svarsström tillgänglig", "bulkImportStartFailed": "Kunde inte starta bulkimport", - "fromUrl": "Från URL", - "jsonOrMet": ".json / .met", - "importFromUrl": "Importera från URL", - "urlPlaceholder": "Klistra in profil-URL...", - "urlHint": "Stöder .json- och .met-profil-URL:er", "back": "Tillbaka", "importButton": "Importera", "fetchingUrl": "Hämtar profil från URL...", "importUrlFailed": "Kunde inte importera från URL", - "invalidUrl": "Ange en giltig URL", "decentEspresso": "Decent", "decentDescription": "Konvertera & importera", "decentImportHint": "Ladda upp eller klistra in en Decent Espresso-profil-JSON för att konvertera den till Meticulous-format.", @@ -775,7 +769,13 @@ "notDecentFormat": "Inte ett giltigt Decent Espresso-profilformat", "profileName": "Namn", "stages": "steg", - "triggers": "utlösare" + "triggers": "utlösare", + "fromLink": "Från länk", + "linkOrJson": "Länk eller JSON", + "importFromLink": "Importera från länk eller JSON", + "sourcePlaceholder": "Klistra in en metprofiles-länk, en profil-URL eller profil-JSON...", + "sourceHint": "Stöder metprofiles.link, direkta .json/.met-länkar och inklistrad profil-JSON", + "invalidSource": "Ange en giltig länk eller profil-JSON" }, "imageCrop": { "title": "Beskär profilbild", diff --git a/apps/web/src/components/ProfileImportDialog.import.test.tsx b/apps/web/src/components/ProfileImportDialog.import.test.tsx new file mode 100644 index 00000000..5635fd59 --- /dev/null +++ b/apps/web/src/components/ProfileImportDialog.import.test.tsx @@ -0,0 +1,94 @@ +import { act, fireEvent, render, screen, waitFor } from '@testing-library/react' +import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest' +import { ProfileImportDialog } from './ProfileImportDialog' + +const translate = (key: string) => key + +vi.mock('react-i18next', () => ({ + initReactI18next: { type: '3rdParty', init: vi.fn() }, + useTranslation: () => ({ t: translate }), +})) + +vi.mock('framer-motion', () => ({ + AnimatePresence: ({ children }: { children: React.ReactNode }) => <>{children}, + motion: { + div: ({ children, ...props }: React.HTMLAttributes) => ( +
{children}
+ ), + }, +})) + +vi.mock('@/lib/config', () => ({ + getServerUrl: vi.fn(async () => ''), +})) + +function lastImportBody(): Record | null { + const calls = (globalThis.fetch as ReturnType).mock.calls + const call = calls.find(([url]) => String(url).endsWith('/api/import-from-url')) + if (!call) return null + return JSON.parse((call[1] as RequestInit).body as string) +} + +describe('ProfileImportDialog: link or JSON import', () => { + beforeEach(() => { + globalThis.fetch = vi.fn(async () => + new Response(JSON.stringify({ status: 'success', profile_name: 'Slay-ish' }), { + status: 200, + headers: { 'content-type': 'application/json' }, + }), + ) as unknown as typeof fetch + }) + + afterEach(() => { + vi.clearAllMocks() + }) + + function openLinkStep() { + render( + {}} + onImported={() => {}} + onGenerateNew={() => {}} + />, + ) + fireEvent.click(screen.getByText('profileImport.fromLink')) + } + + it('posts a metprofiles link to the import endpoint', async () => { + openLinkStep() + const box = screen.getByPlaceholderText('profileImport.sourcePlaceholder') + fireEvent.change(box, { + target: { + value: 'https://metprofiles.link/profile/cd10c990-2185-4633-b883-f3fa4ed7dbfd', + }, + }) + fireEvent.click(screen.getByText('profileImport.importButton')) + await waitFor(() => { + expect(lastImportBody()).toMatchObject({ + url: 'https://metprofiles.link/profile/cd10c990-2185-4633-b883-f3fa4ed7dbfd', + }) + }) + }) + + it('accepts pasted raw JSON as a source', async () => { + openLinkStep() + const box = screen.getByPlaceholderText('profileImport.sourcePlaceholder') + fireEvent.change(box, { target: { value: '{"name":"Pasted","stages":[]}' } }) + fireEvent.click(screen.getByText('profileImport.importButton')) + await waitFor(() => { + expect(lastImportBody()).toMatchObject({ url: '{"name":"Pasted","stages":[]}' }) + }) + }) + + it('rejects non-link, non-JSON text without calling the endpoint', async () => { + openLinkStep() + const box = screen.getByPlaceholderText('profileImport.sourcePlaceholder') + fireEvent.change(box, { target: { value: 'just some words' } }) + await act(async () => { + fireEvent.click(screen.getByText('profileImport.importButton')) + }) + expect(screen.getByText('profileImport.invalidSource')).toBeTruthy() + expect(lastImportBody()).toBeNull() + }) +}) diff --git a/apps/web/src/components/ProfileImportDialog.tsx b/apps/web/src/components/ProfileImportDialog.tsx index 644e428d..de19fb8a 100644 --- a/apps/web/src/components/ProfileImportDialog.tsx +++ b/apps/web/src/components/ProfileImportDialog.tsx @@ -4,7 +4,6 @@ import { motion, AnimatePresence } from 'framer-motion' import { Button } from '@/components/ui/button' import { Card } from '@/components/ui/card' import { Label } from '@/components/ui/label' -import { Input } from '@/components/ui/input' import { Switch } from '@/components/ui/switch' import { Alert, AlertDescription } from '@/components/ui/alert' import { Badge } from '@/components/ui/badge' @@ -26,6 +25,7 @@ import { } from '@phosphor-icons/react' import { getServerUrl } from '@/lib/config' import { detectDecentFormat, convertDecentToMeticulous, type ConversionResult } from '@/services/decentConverter' +import { classifyProfileSource } from '@/services/profileSource' interface MachineProfile { id: string @@ -156,12 +156,26 @@ export function ProfileImportDialog({ isOpen, aiConfigured = true, hideAiWhenUna const urlToImport = urlOverride || importUrl.trim() if (!urlToImport) return - try { - new URL(urlToImport) - } catch { - setError(t('profileImport.invalidUrl')) - setStep('error') - return + // The source may be a metprofiles link, a direct profile URL, or raw JSON + // pasted/shared as text. Classify with the shared @metic/core resolver so + // the client gives instant feedback and the server does the real work. + const kind = classifyProfileSource(urlToImport) + if (kind === 'json') { + try { + JSON.parse(urlToImport) + } catch { + setError(t('profileImport.invalidSource')) + setStep('error') + return + } + } else { + try { + new URL(urlToImport) + } catch { + setError(t('profileImport.invalidSource')) + setStep('error') + return + } } setStep('importing') @@ -526,8 +540,8 @@ export function ProfileImportDialog({ isOpen, aiConfigured = true, hideAiWhenUna className="h-24 flex-col gap-2 border-border/50 hover:border-primary/50 hover:bg-primary/5" > - {t('profileImport.fromUrl')} - {t('profileImport.jsonOrMet')} + {t('profileImport.fromLink')} + {t('profileImport.linkOrJson')}