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Record paged AOI1024 runtime evidence
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Codex
2026-07-09 15:33:14 +02:00
parent a63d4eaadc
commit f33a0ec58c
4 changed files with 38 additions and 8 deletions
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docs/CODEX_EXECUTION_LOG.md
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- RED: `python -m pytest backend\tests\test_sprint131_operator_sample_expansion.py::test_fetch_reference_follows_grb_next_links_until_complete -q` failed because only the first GRB page was persisted.
- GREEN: `python -m pytest backend\tests\test_sprint131_operator_sample_expansion.py::test_fetch_reference_follows_grb_next_links_until_complete -q`
- `python -m pytest backend\tests\test_sprint127_operator_sample_quality_matrix.py backend\tests\test_sprint131_operator_sample_expansion.py -q`
- `python -m py_compile scripts\prepare_operator_real_data_samples.py`
- `bash scripts/run_readiness_check.sh`
- Local live GRB paging smoke with `page_limit=2` and `max_features=5` fetched 3 source pages, returned 5 features and correctly marked `reference_truncated=true`.
- Tower deploy from commit `a63d4ea` passed live migration smoke and browser runtime verification on `http://192.168.10.150:1202`.
- Tower one-sample Geel AOI1024 paging smoke passed with `/opt/geointel/venv/bin/python` and produced 2,268 GRB reference features instead of the old 1,000-feature cap.
- Tower full AOI1024 operator sample regeneration passed:
- Geel: 2,268 features, 3 GRB pages, not truncated.
- Mol: 1,993 features, 2 GRB pages, not truncated.
- Turnhout: 3,278 features, 4 GRB pages, not truncated.
- Herentals: 2,478 features, 3 GRB pages, not truncated.
- Balen: 1,343 features, 2 GRB pages, not truncated.
- Retie: 1,734 features, 2 GRB pages, not truncated.
- Westerlo: 1,133 features, 2 GRB pages, not truncated.
- Re-exported `/app/storage/operator-data/yolo-building-aoi1024-visible025` from the regenerated paged references:
- 144 tiles, 117 positive tiles, 27 negative tiles, 29,170 labels.
- `min_label_visible_ratio=0.25`, `negative_keep_ratio=1.0`.
- Re-ran the Tower dataset audit:
- output: `/app/storage/operator-data/yolo-building-aoi1024-visible025-audit/operator_yolo_dataset_quality_audit.json`
- status remains `needs_attention`
- missing label files: 0
- invalid labels: 0
- median normalized box area: `0.000762939453125`
- small-box share: `0.34744600617072335`
- repeated background negative share: 0.0
## Known limitations
- Existing Tower AOI1024 artifacts were generated before this fix. Regenerate the operator samples with `--force` before retraining or re-auditing dense AOI labels.
- The Tower AOI1024 operator samples and tile dataset have now been regenerated from paged GRB references, but the tile audit still reports `needs_attention` because small clipped boxes remain common.
- This does not make the Sprint 7B GRB provider a live product importer; it only fixes explicit operator sample preparation.
## Next recommended pass
- Regenerate `/app/storage/operator-data/operator-samples-1024` on Tower with the paged script, re-export the AOI1024 YOLO tile dataset, rerun the dataset audit and only then consider another inactive training candidate.
- Before another training run, improve label quality: either raise `--min-label-visible-ratio`, increase tile size, reduce dense clipped-edge tiles or add cleaner AOIs. Do not activate or retrain from this dataset as-is without acknowledging the small-box warning.
# Sprint 151 - Runtime GIS upload and AOI1024 YOLO candidate
docs/TODO.md
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@@ -473,5 +473,6 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Fix promotion-report parsing for `multi_sample_quality_summary.json` inputs.
- [x] Generate AOI1024 promotion report and keep recommended candidate as `none`.
- [x] Add GRB paging before trusting dense reference exports as full ground truth.
- [ ] Regenerate Tower AOI1024 operator samples with paged GRB references, then re-export and audit labels before any new training attempt.
- [x] Regenerate Tower AOI1024 operator samples with paged GRB references, then re-export and audit labels before any new training attempt.
- [ ] Improve AOI1024 label quality before retraining: current paged export has 29,170 labels and no invalid rows, but audit remains `needs_attention` because small-box share is `0.34744600617072335`.
- [ ] Keep every local YOLO candidate inactive until positive-AOI and hard-negative promotion reports recommend default activation.