Add auto-deploy feature to StreamWise dashboard

[James-QiuHaoran]

Add an Auto Deploy button to the web dashboard that automatically optimizes GPU resource allocation across workflow components using the model provisioner's greedy allocator.

Depends on: #312 (refactor: move policies to model_provisioner)

Changes

• streamwise/allocator_bridge.py (new): Maps allocator output to K8s deployment parameters (Model enum → container names, GPU specs)
• streamwise/streamwise.py: Add /api/auto_deploy and /api/auto_deploy/confirm routes
• streamwise/templates/add_pod.html: Auto-deploy UI section with GPU budget inputs, workflow selector, and deployment plan preview
• tests/streamwise/test_allocator_bridge.py (new): 15 tests for allocator bridge
• tests/streamwise/test_streamwise_auto_deploy.py (new): 10 tests for auto-deploy API

Testing

• 108 streamwise tests pass (1 pre-existing Windows failure: \ est_list_files)
• flake8 clean
• mypy clean

[Copilot]

Pull request overview

Adds a new "Auto Deploy" feature to the StreamWise dashboard: an HTTP API and UI that runs the greedy AutoModelAllocator over a user-supplied GPU budget + workflow, previews the resulting per-container deployment plan, and (on confirm) creates the corresponding pods via pod_manager.add_pod. A new bridge module translates the simulator's abstract Model/GPUType allocations into concrete K8s container specs, and the Dockerfile/setup script now bundle model_provisioner and simulator into the streamwise image.

Changes:

• New streamwise/allocator_bridge.py mapping Model/GPUType allocations to deployment specs and exposing run_allocator + JSON serialization.
• New /api/auto_deploy, /api/auto_deploy/confirm, /api/auto_deploy/workflows routes in streamwise.py, plus an Auto-Deploy UI section in add_pod.html with optimize/confirm flow.
• Packaging changes (Dockerfile, setup_image.sh, requirements.txt) to ship simulator + model_provisioner and add pandas/tabulate; new tests for the bridge and the API routes.

Reviewed changes

Copilot reviewed 8 out of 8 changed files in this pull request and generated 14 comments.

Show a summary per file

File	Description
streamwise/allocator_bridge.py	New bridge: Model→container/MIG/resource mapping and run_allocator/serialization helpers.
streamwise/streamwise.py	Three new auto-deploy routes invoking the bridge and pod_manager.add_pod.
streamwise/templates/add_pod.html	Auto-deploy form, results table, and fetch logic for optimize/confirm.
streamwise/requirements.txt	Adds pandas and tabulate dependencies.
deployment/streamwise/Dockerfile	Copies model_provisioner and simulator into the image.
deployment/setup_image.sh	Stages model_provisioner and simulator for the streamwise image build.
tests/streamwise/test_allocator_bridge.py	Unit/integration tests for the bridge (mappings, specs, real allocator runs).
tests/streamwise/test_streamwise_auto_deploy.py	API tests for the three new routes, with K8s mocks and allocator patches.

[Copilot]

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