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Add local model asset catalog
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2026-07-06 20:59:03 +02:00
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## Sprint 118 Local model and reference catalog clarity (2026-07-06)
Changed:
- Added a read-only backend model asset catalog through `GET /api/v1/detection/model-assets`.
- Added `YOLO_MODELS_DIR` to backend settings, Compose, Unraid env examples and all-in-one runtime startup so `/app/models` is the explicit model catalog directory.
- Extended configured YOLO preflight and detection runs with optional `model_asset_id`, resolved server-side against the model asset catalog.
- Detection jobs and analysis runs now persist selected model asset ID, path and SHA-256 in parameters for reproducibility.
- Detection Lab now loads local model assets, selects the active model by default and lets operators choose a cataloged local model file for `yolo-configured`.
- Provider Capabilities now distinguishes GRB/OSM/manual/fixture reference-data sources from AI model choices.
- Updated `docs/API_CONTRACTS.md`, `docs/AI_PIPELINES.md`, `backend/README.md`, `frontend/README.md`, `deploy/unraid/README.md`, `scripts/README.md`, `docs/TODO.md` and `CHANGELOG.md`.
- Added design/plan documents under `docs/superpowers/`.
Validation:
- RED: `python -m pytest backend/tests/test_model_asset_catalog.py -q` failed before implementation because `app.services.model_asset_catalog_service` did not exist.
- `python -m pytest backend/tests/test_model_asset_catalog.py -q` passed: 5 tests.
- RED: `python -m pytest backend/tests/test_sprint118_yolo_preflight_ui.py -q` failed before frontend wiring because the model asset types/API/hook/UI were absent.
- `python -m pytest backend/tests/test_sprint118_yolo_preflight_ui.py -q` passed: 2 tests.
- RED: runtime config tests failed before `YOLO_MODELS_DIR` was added to env examples, Unraid runtime and `scripts/configure_yolo_model.py`.
- `python -m pytest backend/tests/test_docker_runtime_config.py::test_env_example_uses_runtime_env_names_read_by_backend_and_frontend backend/tests/test_docker_runtime_config.py::test_unraid_deploy_passes_ai_build_arg_and_yolo_runtime_env backend/tests/test_sprint119_yolo_model_configuration.py -q` passed: 6 tests.
- `python -m compileall backend/app` passed.
- `cd backend && python -m pytest -q` passed: 383 tests.
- `cd frontend && npm run typecheck` passed.
- `cd frontend && npm run build` passed.
- `python scripts/audit_api_contracts.py` passed: 81 implemented routes match docs; 2 explicit non-envelope endpoints tracked.
- `bash scripts/run_readiness_check.sh` passed: 383 backend tests plus frontend typecheck/build, API contract audit, Alembic head and shell syntax checks.
- `cd backend && python -m alembic upgrade head --sql` passed.
- `bash -n scripts/live_migration_smoke.sh; bash -n deploy/unraid/run-dockerman-container.sh; bash -n deploy/unraid/all-in-one-start.sh; bash -n scripts/deploy_tower.sh` passed.
- Local `docker compose config` could not run because Docker is not installed in this Windows Codex environment; Tower deploy validation remains required.
Limitations:
- The catalog is intentionally filesystem-backed and read-only. It does not download, validate semantic class metadata, train models or manage model lifecycle records in the database.
- GRB/OSM remain provider capabilities only; no live external fetching was added.
Next recommended pass:
- Redeploy Tower, verify `/api/v1/detection/model-assets`, confirm Detection Lab shows the local model picker, then continue with real raster/model workflow validation on non-synthetic imagery.
## Sprint 117 Reusable GIS run and AI runtime opt-in (2026-07-05)
Changed: