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Add YOLO preflight runtime diagnostics
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Codex
2026-07-05 21:17:20 +02:00
parent ad4fa45584
commit 7a29e7867d
6 changed files with 87 additions and 2 deletions
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docs/CODEX_EXECUTION_LOG.md
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@@ -7,6 +7,7 @@ Changed:
- 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.
- 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.
- Added a writable `YOLO_CONFIG_DIR` default under application storage after Tower validation showed Ultralytics otherwise falls back to `/tmp` because root config is not writable in the container.
- Added YOLO preflight runtime diagnostics so operators can see dependency assumption state, model directory, `YOLO_CONFIG_DIR`, installed `torch`/`ultralytics` package versions and CUDA availability without loading a model, running inference or downloading weights.
- Updated `.env.example`, `backend/README.md`, `frontend/README.md`, `scripts/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
- 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`.
@@ -37,6 +38,18 @@ Validation:
- Tower container check passed: `torch` imported as `2.12.1+cu130`, `torch.cuda.is_available()` returned `False`, `ultralytics` imported as `8.4.87`, and `scripts/yolo_preflight.py --enabled --json` returned `dependencies_available=true`, `status=not_configured`, `will_download_models=false`, `will_run_inference=false` because no local model path is configured yet.
- Tower runtime `YOLO_CONFIG_DIR` is `/app/storage/ultralytics`; the directory exists, is writable and Ultralytics writes settings there instead of root config.
- Internal browser validation passed against `http://192.168.10.150:1202`: the live shell and Map workspace rendered without console errors, with database layer selection, Operational GIS controls, and both full-run modes visible.
- RED: `python -m pytest backend\tests\test_sprint13_yolo_preflight.py -q` failed before runtime diagnostics were implemented because `runtime` was absent from preflight output.
- `python -m pytest backend\tests\test_sprint13_yolo_preflight.py -q` passed: 8 tests.
- `python -m pytest backend\tests\test_sprint13_yolo_preflight.py backend\tests\test_sprint8b_yolo_foundation.py backend\tests\test_docker_runtime_config.py -q` passed: 39 tests.
- `python -m compileall backend/app` passed.
- `cd backend && python -m pytest -q` passed: 369 tests.
- `cd frontend && npm run typecheck` passed.
- `cd frontend && npm run build` passed.
- `bash scripts/run_readiness_check.sh` passed: 369 backend tests plus frontend typecheck/build and Alembic head.
- `cd backend && python -m alembic heads` passed: `202606120900 (head)`.
- `cd backend && python -m alembic upgrade head --sql` passed.
- `bash -n scripts/live_migration_smoke.sh`, `bash -n scripts/deploy_tower.sh`, `bash -n deploy/unraid/run-dockerman-container.sh` and `bash -n deploy/unraid/all-in-one-start.sh` passed.
- Local Codex host still cannot run `docker compose config` because Docker is not installed in this Windows environment; Tower Docker validation is required after push/deploy.
Limitations:
- `GEOINTEL_INSTALL_AI=true` installs optional PyTorch/Ultralytics dependencies but still requires a user-provided local model file; GeoIntel does not download weights.