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Record real data validation run
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2026-07-07 01:37:09 +02:00
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## Sprint 122 Real operator data availability and raster metadata fix (2026-07-07)
Changed:
- Created real operator validation files on Tower under `/mnt/user/appdata/geointel/storage/operator-data`.
- Generated `/mnt/user/appdata/geointel/storage/operator-data/geel_orthophoto_wms_512.tif` from the official Digitaal Vlaanderen OMWRGBMRVL WMS `Ortho` layer for a 500 m x 500 m AOI around Geel.
- Generated `/mnt/user/appdata/geointel/storage/operator-data/geel_grb_gbg_buildings.geojson` from the official Digitaal Vlaanderen GRB OGC API Features `GBG` building collection for the same AOI; it contained 617 features.
- Fixed `DatasetService` raster upload metadata mapping so extracted `bounds`, `resolution` and `dtype` populate persisted `bounds_json`, `resolution_json` and `bands_json`.
- Added `backend/tests/test_sprint122_raster_upload_metadata_mapping.py`.
Validation:
- RED: `python -m pytest backend/tests/test_sprint122_raster_upload_metadata_mapping.py -q` failed because uploaded raster `bounds_json` was `None`.
- `python -m pytest backend/tests/test_sprint122_raster_upload_metadata_mapping.py -q` passed.
- `python -m compileall backend/app` passed.
- `bash scripts/run_readiness_check.sh` passed: 386 backend tests, Alembic head check, frontend typecheck/build and shell syntax checks.
- Tower deploy from commit `2468945` passed with `GEOINTEL_INSTALL_AI=true`.
- Deploy-time live migration smoke passed; PostGIS reported `3.6 USE_GEOS=1 USE_PROJ=1 USE_STATS=1` and Alembic head was `202606120900`.
- Deploy-time browser runtime verification passed for `http://192.168.10.150:1202`.
- Real-data smoke passed:
- command: `REAL_RASTER_PATH=/mnt/user/appdata/geointel/storage/operator-data/geel_orthophoto_wms_512.tif REAL_REFERENCE_VECTOR_PATH=/mnt/user/appdata/geointel/storage/operator-data/geel_grb_gbg_buildings.geojson bash scripts/verify_real_data_detection_qa_workflow.sh http://192.168.10.150:1202`
- project: `e1ec201b-bd83-4c95-be5a-f7225902d3c5`
- raster dataset: `fca14d23-bc0c-4b1f-8bfa-ba968f2e05d0`
- reference dataset: `5bb4a9b4-2a4e-4680-a729-777a75ecd51f`
- model asset: `yolov8n-building-segmentation-pt`
- manifest: `/app/storage/tiles/e1ec201b-bd83-4c95-be5a-f7225902d3c5/fca14d23-bc0c-4b1f-8bfa-ba968f2e05d0/0f29f110-951f-48eb-a2fb-636b587e31ee/manifest.json`
- analysis run: `c6798559-590c-42e3-a192-45a2409fa832`
- detections: `0`
- quality check: `cd0d13f9-f6ce-4acf-8859-7cb7aa666125`
- detection export: `0081c230-1766-4ff3-8df0-e47236f529d1`
Limitations:
- The workflow is now operational against real operator data, but the active evaluation model returned zero detections on the Geel sample AOI. This is model/data quality evidence, not a platform failure.
- The prepared files are runtime artifacts on Tower, not repository fixtures.
Next recommended pass:
- Calibrate model selection and confidence/class handling against real Flemish orthophotos, or replace the evaluation model with a detector better aligned to aerial building footprints.
## Sprint 121 Real data detection and QA workflow smoke (2026-07-07)
Changed: