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3.2 KiB
3.2 KiB
GeoIntel M4 Sprint Board
Sprint 0 — Repo Bootstrapping
- Verify repo root structure.
- Add backend package skeleton.
- Add frontend package skeleton.
- Ensure Docker Compose starts PostGIS and Redis.
- Add
.env.exampleparity with backend settings. - Add smoke command documentation.
Acceptance:
- A new developer can run the documented startup commands.
- Missing optional GIS binaries degrade gracefully with explicit warnings.
Sprint 1 — Backend Foundation
- FastAPI app factory.
- Health endpoint.
- Settings loader.
- Structured error response middleware.
- Database session management.
- Alembic migration baseline.
Acceptance:
/healthreturns app, db, redis and storage status.- Failed validation returns the standard error envelope.
Sprint 2 — Domain Models
- Project model.
- Area model with PostGIS geometry.
- Dataset model.
- AnalysisRun model.
- Detection model.
- Segmentation model.
- Metric model.
- Export model.
Acceptance:
- Migration creates all core tables.
- Geometry columns use SRID 31370 internally where applicable.
- API schemas never expose internal file-system paths unless explicitly an export path.
Sprint 3 — Dataset Manager
- Dataset upload endpoint.
- Dataset metadata extractor dispatcher.
- Raster metadata extractor.
- Vector metadata extractor.
- Dataset list/detail endpoints.
- Dataset status transitions.
Acceptance:
- Uploading GeoJSON fixture produces vector metadata.
- Uploading placeholder/demo raster either extracts metadata or returns a clear unsupported-fixture status.
Sprint 4 — Area & Map Workspace
- Create area from polygon.
- Validate area geometry.
- Calculate area in square meters.
- Return areas as GeoJSON.
- Frontend map shell.
- Draw polygon flow.
Acceptance:
- A user can create a project and add at least one polygon area through the UI.
Sprint 5 — Raster/Vector Labs
- Raster metadata page.
- Vector metadata page.
- Vector clip operation.
- Raster operation contract endpoints.
- Operation job creation.
Acceptance:
- Vector fixture clipped to an area returns a new derived layer record.
Sprint 6 — AI Pipeline Shells
- Model registry seed.
- Detection run endpoint.
- Segmentation run endpoint.
- Deterministic demo-mode inference.
- Store detections/segmentations as geometry outputs.
Acceptance:
- Detection run on demo area creates predictable detections with classes and confidence.
- Segmentation run creates polygons and area metrics.
Sprint 7 — QA/QC
- Reference dataset selection.
- IoU matching.
- Precision/recall/F1.
- False positive/false negative outputs.
- QA dashboard panel.
Acceptance:
- Demo detections compared to demo reference produce stable metrics.
Sprint 8 — Exports
- GeoJSON export.
- CSV metrics export.
- Report stub export.
- Export list/detail page.
Acceptance:
- User can download detection results as GeoJSON.
Sprint 9 — Codex RC Pass
- Run tests.
- Update TODO.
- Update CHANGELOG.
- Remove dead placeholders.
- Verify all pages have empty/loading/error/success states.