Clean public positioning and add local-first persistence

.env.example

@@ -7,6 +7,7 @@ SUPABASE_SERVICE_ROLE_KEY=
 SUPABASE_STORAGE_BUCKET=applypilot-assets
 OPENAI_API_KEY=
 OPENAI_MODEL=gpt-4.1-mini
+APPLYPILOT_LOCAL_STORE_PATH=
 ENABLE_DEMO_DATA=false
 VITE_DASHBOARD_URL=http://localhost:3000
 VITE_API_BASE_URL=http://localhost:3000

README.md

@@ -28,7 +28,7 @@ The product is intentionally single-user and local-first:
 
 - Public-safe career stories live in `knowledge_base/`.
 - Private interview notes can live in `local_workspace/knowledge_base_private/`, which is ignored by Git.
-- The app works with an in-memory demo store by default, so it runs without Supabase or OpenAI.
+- The app works with a gitignored local JSON store by default, so it runs without Supabase or OpenAI.
 - AI calls have deterministic fallbacks, keeping the workflow usable without external services.
 
 ## Product Tour
@@ -37,19 +37,19 @@ The product is intentionally single-user and local-first:
 | --- | --- | --- |
 | ![Knowledge Base](docs/assets/knowledge-base.png) | ![Daily Picks](docs/assets/daily-picks.png) | ![Application Tracker](docs/assets/application-tracker.png) |
 
-### Application Workflow V0
+### Application Workflow
 
 ![Application Workflow](docs/assets/application-workflow.svg)
 
 ## What It Does
 
 | Capability | What it means |
 | --- | --- |
-| Role matching V0 | Scores saved jobs against profile, preferences, keywords, skills, region, salary, remote policy, and application friction. |
+| Role matching | Scores saved jobs against profile, preferences, keywords, skills, region, salary, remote policy, and application friction. |
 | Resume and story retrieval | Retrieves resume evidence plus reusable stories, interview notes, job profiles, and answer playbooks for a role. |
 | Local Markdown/JSON knowledge base | Reads structured Markdown, JSON sidecars, standalone JSON entries, and private local-only entries. |
 | Daily Picks | Ranks saved jobs and attaches prep assets under each role so review starts with evidence, not a blank page. |
-| Application workflow V0 | Turns a saved role into a human-reviewable checklist with matched resume evidence, story assets, next actions, and tracker state. |
+| Application workflow | Turns a saved role into a human-reviewable checklist with matched resume evidence, story assets, next actions, and tracker state. |
 | Application tracker sync | Manual job saves create `drafted` tracker records, and repeat saves do not reset existing statuses. |
 | Human-in-the-loop automation | The Chrome extension can assist LinkedIn and MyCareersFuture flows, while risky cases route to review. |
 
@@ -156,27 +156,26 @@ pnpm dev:extension
 
 Open [http://localhost:3000](http://localhost:3000).
 
-For a persistent database-backed setup, copy `.env.example` to `.env.local`, fill in Supabase/OpenAI values as needed, and apply the SQL migrations under `supabase/migrations/`.
+Without Supabase, saved local data is written to `local_workspace/applypilot-store.json`.
+For a database-backed setup, copy `.env.example` to `.env.local`, fill in Supabase/OpenAI values as needed, and apply the SQL migrations under `supabase/migrations/`.
 
 ## Verification
 
 ```bash
-pnpm test    # 21 tests covering scoring, KB parsing/retrieval, workflow prep, tracker sync, store behavior
+pnpm test    # 22 tests covering scoring, KB parsing/retrieval, workflow prep, tracker sync, store behavior
 pnpm build   # production build for all workspace packages
 pnpm lint    # typecheck and lint
 ```
 
-The current portfolio packaging lives on `codex/application-workflow-v0-new`.
-
 ## Privacy Boundary
 
 Commit only sanitized, reusable material under `knowledge_base/`. Keep private recruiter details, interview schedules, exact compensation expectations, personal documents, local resume paths, and sensitive application notes under `local_workspace/knowledge_base_private/`.
 
-`local_workspace/` is ignored by Git.
+`local_workspace/` is ignored by Git, including the fallback store at `local_workspace/applypilot-store.json`.
 
 ## Project Status
 
-This is a complete portfolio-ready V0 of the knowledge-backed job-search workflow:
+This is a portfolio-ready slice of the knowledge-backed job-search workflow:
 
 - Match saved jobs.
 - Retrieve resume evidence and career-story assets.

apps/extension/src/content/linkedin.ts

@@ -6,18 +6,26 @@ type BootstrapPayload = {
   summary: {
     dailyTarget: number;
   };
-  profile: {
-    fullName: string;
-    phone: string;
-    email: string;
-    location: string;
-  } | null;
-  preference?: {
-    regions?: string[];
-    minSalary?: number;
-    salaryCurrency?: string;
-  } | null;
-};
+	  profile: {
+	    fullName: string;
+	    phone: string;
+	    email: string;
+	    location: string;
+	    yearsExperience?: number;
+	  } | null;
+	  preference?: {
+	    targetRoles?: string[];
+	    regions?: string[];
+	    minSalary?: number;
+	    salaryCurrency?: string;
+	    applicationSalaryAmount?: number;
+	    yearsExperienceOverride?: number | null;
+	    noticePeriodWeeks?: number | null;
+	    workAuthorization?: 'yes' | 'no' | 'unknown';
+	    requiresVisaSponsorship?: 'yes' | 'no' | 'unknown';
+	    willingToRelocate?: 'yes' | 'no' | 'unknown';
+	  } | null;
+	};
 
 const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
 
@@ -1152,22 +1160,44 @@ const getPreferredLocationValue = ({
   );
 
 const getPreferredSalaryValue = (preference?: BootstrapPayload['preference'] | null) => {
-  if (!preference?.minSalary || preference.minSalary <= 0) {
-    return '';
+  if (preference?.applicationSalaryAmount && preference.applicationSalaryAmount > 0) {
+    return String(preference.applicationSalaryAmount);
   }
 
-  const monthly = Math.max(1, Math.round(preference.minSalary / 12));
-  return String(monthly);
+  if (preference?.minSalary && preference.minSalary > 0) {
+    return String(Math.max(1, Math.round(preference.minSalary / 12)));
+  }
+
+  return '';
+};
+
+const getPreferredYearsValue = (
+  preference?: BootstrapPayload['preference'] | null,
+  profile?: BootstrapPayload['profile'],
+) => {
+  const years = preference?.yearsExperienceOverride ?? profile?.yearsExperience ?? null;
+
+  return typeof years === 'number' && Number.isFinite(years) && years > 0 ? String(years) : '';
+};
+
+const getNoticePeriodValue = (preference?: BootstrapPayload['preference'] | null) => {
+  const weeks = preference?.noticePeriodWeeks;
+
+  return typeof weeks === 'number' && Number.isFinite(weeks) && weeks >= 0 ? String(weeks) : '';
 };
 
-const inferYearsAnswer = (context: string) => {
+const inferYearsAnswer = (
+  context: string,
+  preference?: BootstrapPayload['preference'] | null,
+  profile?: BootstrapPayload['profile'],
+) => {
   const normalized = normalizeToken(context);
 
   if (!/(years|experience|经验|多久)/.test(normalized)) {
     return '';
   }
 
-  return '8';
+  return getPreferredYearsValue(preference, profile);
 };
 
 const looksLikeSuspiciousFullName = (value: string) =>
@@ -1223,7 +1253,7 @@ const fillKnownTextFields = ({
       continue;
     }
 
-    const inferredYears = inferYearsAnswer(context);
+    const inferredYears = inferYearsAnswer(context, preference, profile);
     if (inferredYears && /^(number|text|tel|search|url|email)?$/i.test(control.type || 'text')) {
       setFieldValue(control, inferredYears);
     }
@@ -1290,7 +1320,13 @@ const getRadioLabelText = (radio: HTMLInputElement) =>
     ),
   );
 
-const chooseRadioCandidate = (radios: HTMLInputElement[]) => {
+const choiceTokens = (value?: 'yes' | 'no' | 'unknown') =>
+  value === 'yes' || value === 'no' ? [value] : [];
+
+const chooseRadioCandidate = (
+  radios: HTMLInputElement[],
+  preference?: BootstrapPayload['preference'] | null,
+) => {
   const questionText = normalizeToken(
     firstNonEmpty(
       textOf(radios[0]?.closest('fieldset')),
@@ -1299,12 +1335,20 @@ const chooseRadioCandidate = (radios: HTMLInputElement[]) => {
     ),
   );
 
-  const preferredTokens = /sponsor|sponsorship|visa|work authorization|work authorisation/.test(questionText)
-    ? ['no']
-    : /degree|education|bachelor|master|phd|completed|complete the following level/.test(questionText)
+  const preferredTokens = /sponsor|sponsorship|visa/.test(questionText)
+    ? choiceTokens(preference?.requiresVisaSponsorship)
+    : /work authorization|work authorisation|authorized to work|authorised to work/.test(questionText)
+      ? choiceTokens(preference?.workAuthorization)
+      : /relocat|willing to move/.test(questionText)
+        ? choiceTokens(preference?.willingToRelocate)
+        : /degree|education|bachelor|master|phd|completed|complete the following level/.test(questionText)
       ? ['yes']
       : ['yes', 'no'];
 
+  if (preferredTokens.length === 0) {
+    return null;
+  }
+
   for (const token of preferredTokens) {
     const candidate = radios.find((radio) => new RegExp(`\\b${token}\\b`).test(getRadioLabelText(radio)));
     if (candidate) {
@@ -1339,6 +1383,7 @@ const getFallbackFieldValue = ({
   const context = getFieldContextText(element);
   const preferredLocation = getPreferredLocationValue({ profile, preference, jobLocation });
   const preferredSalary = getPreferredSalaryValue(preference);
+  const noticePeriod = getNoticePeriodValue(preference);
 
   if (/email/.test(context) && profile?.email) {
     return profile.email;
@@ -1353,22 +1398,22 @@ const getFallbackFieldValue = ({
   }
 
   if (/salary|compensation|pay|薪资|薪酬/.test(context)) {
-    return preferredSalary || '10000';
+    return preferredSalary;
   }
 
   if (/notice/.test(context)) {
-    return '2';
+    return noticePeriod;
   }
 
   if (/(years|experience|经验|多久)/.test(context)) {
-    return '8';
+    return inferYearsAnswer(context, preference, profile);
   }
 
   if (element instanceof HTMLInputElement && element.type === 'number') {
-    return '1';
+    return '';
   }
 
-  return '1';
+  return '';
 };
 
 const answerKnockoutQuestions = ({
@@ -1392,15 +1437,28 @@ const answerKnockoutQuestions = ({
   }
 
   const dialog = getEasyApplyDialog() ?? document;
+  const preferredYears = Number(getPreferredYearsValue(preference, profile));
   const requiredGroups = Array.from(dialog.querySelectorAll('fieldset')).filter((fieldset) =>
     isVisible(fieldset) &&
-    fieldset.textContent?.toLowerCase().includes('years'),
+    fieldset.textContent?.toLowerCase().includes('years') &&
+    Number.isFinite(preferredYears) &&
+    preferredYears > 0,
   );
 
   requiredGroups.forEach((group) => {
-    const preferred = group.querySelector<HTMLInputElement>(
-      'input[type="radio"][value*="5"], input[type="radio"][value*="10"]',
-    );
+    const preferred =
+      Array.from(group.querySelectorAll<HTMLInputElement>('input[type="radio"]'))
+        .map((radio) => {
+          const label = getRadioLabelText(radio);
+          const numericValue = Number(label.match(/\d+/)?.[0] ?? radio.value.match(/\d+/)?.[0] ?? NaN);
+          return {
+            radio,
+            numericValue,
+          };
+        })
+        .filter((candidate) => Number.isFinite(candidate.numericValue) && candidate.numericValue <= preferredYears)
+        .sort((left, right) => right.numericValue - left.numericValue)[0]?.radio ?? null;
+
     preferred?.click();
   });
 
@@ -1409,7 +1467,7 @@ const answerKnockoutQuestions = ({
       return;
     }
 
-    const candidate = chooseRadioCandidate(radios);
+    const candidate = chooseRadioCandidate(radios, preference);
     candidate?.click();
   });
 
@@ -1422,7 +1480,7 @@ const answerKnockoutQuestions = ({
       return;
     }
 
-    const inferredYears = inferYearsAnswer(getFieldContextText(element));
+    const inferredYears = inferYearsAnswer(getFieldContextText(element), preference, profile);
     if (inferredYears) {
       setFieldValue(element, inferredYears);
     }