Harden AI Docker runtime imports
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@@ -5,8 +5,9 @@ Changed:
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- Reuse mode runs QA/QC against the latest saved derived map-selection dataset without creating another derived dataset/export pair.
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- Added opt-in Docker and Unraid AI build support through `GEOINTEL_INSTALL_AI=true`; default builds still install only the GIS runtime.
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- Passed YOLO runtime environment variables and a `/app/models` volume into the all-in-one Unraid container so local PyTorch/Ultralytics models can be mounted explicitly.
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- Hardened the AI image path after Tower validation showed `torch` imported but `ultralytics` failed on a missing OpenCV native library. The Dockerfiles now include the required OpenCV runtime shared libraries and YOLO dependency detection performs real imports instead of `find_spec` checks.
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- Updated `.env.example`, `backend/README.md`, `frontend/README.md`, `scripts/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
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- Added regression coverage in `backend/tests/test_sprint116_operational_gis_map_workflow.py` and `backend/tests/test_docker_runtime_config.py`.
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- Added regression coverage in `backend/tests/test_sprint116_operational_gis_map_workflow.py`, `backend/tests/test_sprint8b_yolo_foundation.py` and `backend/tests/test_docker_runtime_config.py`.
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Validation:
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- RED: `python -m pytest backend\tests\test_sprint116_operational_gis_map_workflow.py backend\tests\test_docker_runtime_config.py -q` failed before implementation because `fullWorkflowMode`, AI build args and YOLO runtime env wiring were absent.
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@@ -16,8 +17,13 @@ Validation:
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- `python -m compileall backend/app` passed.
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- `python -m py_compile scripts\yolo_preflight.py backend\scripts\yolo_preflight.py` passed.
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- `python -m pytest backend\tests\test_sprint31_unraid_template.py backend\tests\test_docker_runtime_config.py -q` passed: 27 tests.
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- `cd backend && python -m pytest -q` passed: 366 tests.
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- `bash scripts/run_readiness_check.sh` passed: 366 backend tests plus frontend typecheck/build.
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- RED: `python -m pytest backend\tests\test_sprint8b_yolo_foundation.py backend\tests\test_docker_runtime_config.py -q` failed before the runtime hardening because YOLO dependency detection still used `find_spec` and the Dockerfiles lacked OpenCV native runtime libraries.
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- `python -m pytest backend\tests\test_sprint8b_yolo_foundation.py backend\tests\test_docker_runtime_config.py -q` passed: 30 tests.
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- `python -m compileall backend/app` passed after the AI runtime hardening.
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- `cd backend && python -m pytest -q` passed: 367 tests.
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- `cd frontend && npm run typecheck` passed.
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- `cd frontend && npm run build` passed.
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- `bash scripts/run_readiness_check.sh` passed: 367 backend tests plus frontend typecheck/build.
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- `cd backend && python -m alembic heads` passed: `202606120900 (head)`.
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- `cd backend && python -m alembic upgrade head --sql` passed.
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- `bash -n scripts/live_migration_smoke.sh; bash -n scripts/deploy_tower.sh; bash -n deploy/unraid/run-dockerman-container.sh` passed.
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