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Add real data detection QA workflow smoke
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2026-07-07 00:19:23 +02:00
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## Sprint 121 Real data detection and QA workflow smoke (2026-07-07)
Changed:
- Added `scripts/verify_real_data_detection_qa_workflow.sh` for live-runtime validation with operator-provided real GIS inputs.
- The smoke creates a project, uploads a real GeoTIFF-style raster as a source dataset, uploads a real reference-building GeoJSON/JSON as `dataset_role=reference`, validates CRS/bounds/features, tiles the raster, selects a mounted local model asset, runs read-only YOLO preflight, runs configured YOLO detection, runs detection QA against persisted `vector_features`, and exports the detection run GeoJSON.
- Registered the smoke in `scripts/run_readiness_check.sh` as a syntax check only, so normal readiness does not require real orthophotos, reference vectors, optional AI dependencies or model files.
- Documented Tower usage and limitations in `scripts/README.md`, `backend/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
Validation:
- RED: `python -m pytest backend/tests/test_sprint121_real_data_detection_qa_smoke.py -q` failed while `scripts/verify_real_data_detection_qa_workflow.sh` did not exist.
- `python -m pytest backend/tests/test_sprint121_real_data_detection_qa_smoke.py -q` passed: 1 test.
- `bash -n scripts/verify_real_data_detection_qa_workflow.sh` passed.
- `bash scripts/verify_real_data_detection_qa_workflow.sh --help` passed and printed required `REAL_RASTER_PATH` and `REAL_REFERENCE_VECTOR_PATH` usage.
- `python -m compileall backend/app` passed.
- `python scripts/smoke_docs.py` passed.
- `bash scripts/run_readiness_check.sh` passed: 385 backend tests, Alembic head check, frontend typecheck, frontend production build and shell syntax checks.
- `cd backend && python -m alembic upgrade head --sql` passed.
- Missing-input guard passed: `bash scripts/verify_real_data_detection_qa_workflow.sh http://localhost:1202` returned exit code 2 and printed usage.
- Local `docker compose config` could not run in this Windows Codex environment because the `docker` command is not installed.
Limitations:
- The full real-data smoke was not executed in this Codex workspace because no operator-provided real GeoTIFF and reference GeoJSON were found locally.
- The script enforces real inputs and never seeds demo data, enables fixture detections, fetches live GRB/OSM/Sentinel data or downloads model weights.
Next recommended pass:
- Place a target orthophoto/GeoTIFF and matching reference-building GeoJSON under the Tower appdata path and run `REAL_RASTER_PATH=... REAL_REFERENCE_VECTOR_PATH=... bash scripts/verify_real_data_detection_qa_workflow.sh http://192.168.10.150:1202`.
## Sprint 120 Model asset detection workflow smoke (2026-07-06)
Changed: