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Add AI lab run readiness panels
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2026-06-24 23:47:55 +02:00
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docs/CODEX_EXECUTION_LOG.md
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@@ -3722,3 +3722,28 @@ Limitations:
Next recommended pass:
- After live validation, continue with the next V1 usability gap from the workbench flow rather than adding new model/provider scope.
## Sprint 103 AI Lab run readiness (2026-06-24)
Changed:
- Added compact run-readiness panels to Detection Lab and Segmentation Lab.
- Detection readiness now checks selected raster dataset, selected model availability and the configured-YOLO tile manifest requirement before a run is submitted.
- Segmentation readiness now checks selected raster dataset, configured segmentation model state and whether a tile manifest is present for provenance.
- Added shared AI Lab readiness styling and regression coverage in `backend/tests/test_sprint103_ai_lab_run_readiness.py`.
- Updated `CHANGELOG.md` and `docs/TODO.md`.
Tested:
- Red step: `python -m pytest backend\tests\test_sprint103_ai_lab_run_readiness.py -q` failed while the readiness panels and CSS contracts were absent.
- `python -m pytest backend\tests\test_sprint103_ai_lab_run_readiness.py -q` (`3 passed`)
- `python -m compileall backend/app`
- `cd frontend && npm run typecheck`
- `cd frontend && npm run build`
Open:
- Full repository validation, commit, deploy and live browser verification are still pending for this pass.
Limitations:
- Frontend readiness guidance only; no backend API, persistence, migration, provider fetching, AI dependency or model execution behavior changed.
Next recommended pass:
- After deploy validation, continue with V1 usability work that reduces operator confusion without expanding frozen product scope.
docs/TODO.md
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@@ -369,3 +369,4 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Add raster pipeline readiness and guardrail surfaces for metadata, CRS, preview, tile manifest and clip-AOI handoff.
- [x] Add useful default dataset context so Data, Map and Exports are immediately usable after project/demo load.
- [x] Make raster tile handoff to Detection Lab auto-select the configured YOLO run form.
- [x] Add AI Lab run-readiness checks for Detection and Segmentation before job submission.