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131 lines
2.7 KiB
Markdown
131 lines
2.7 KiB
Markdown
# Implementation Epics
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## EPIC 01 — Repository and Runtime Foundation
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Goal: create a runnable full-stack foundation with backend, frontend, database, worker and shared conventions.
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Must deliver:
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- FastAPI app booting
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- health endpoints
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- SQLAlchemy/Alembic setup
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- PostGIS-enabled PostgreSQL connection
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- React app booting
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- Docker Compose local stack
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- basic CI-friendly test commands
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## EPIC 02 — Project and Area Management
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Goal: allow users to create project workspaces and define Kempen analysis areas.
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Must deliver:
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- project CRUD
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- area CRUD
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- polygon validation
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- area surface calculation
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- geometry storage in PostGIS
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- frontend project dashboard
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- map drawing workflow
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## EPIC 03 — Dataset Manager
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Goal: upload, register and inspect geospatial datasets.
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Must deliver:
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- dataset upload endpoint
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- metadata extraction
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- storage path registration
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- dataset table
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- dataset detail page
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- processing status model
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## EPIC 04 — Raster Foundation
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Goal: support GeoTIFF metadata, preview, clipping and tiling readiness.
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Must deliver:
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- Rasterio metadata extraction
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- bounds, CRS, band count, resolution
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- clip request contract
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- tile generation contract
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- raster preview placeholder backed by real metadata
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## EPIC 05 — Vector Foundation
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Goal: support GeoJSON/Shapefile/GPKG import and core vector operations.
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Must deliver:
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- GeoPandas import
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- CRS transform
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- clip to area
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- area/perimeter calculation
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- vector layer display/export
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## EPIC 06 — GRB Reference Integration
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Goal: retrieve GRB features for selected areas and cache them in PostGIS.
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Must deliver:
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- GRB source config
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- WFS request service
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- cache table or dataset registration
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- building reference layer
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- failure handling and source metadata
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## EPIC 07 — Detection Pipeline Skeleton
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Goal: run object detection over prepared raster tiles and store georeferenced outputs.
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Must deliver:
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- model registry stub
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- detection job request
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- tile inference interface
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- detections table
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- GeoJSON export
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- map overlay
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The first implementation may use a deterministic fixture model only if the full interface is identical to a future YOLO implementation.
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## EPIC 08 — QA/QC Engine
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Goal: compare detections against GRB reference features.
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Must deliver:
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- spatial matching
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- IoU calculation
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- precision/recall/F1
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- false positives/false negatives
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- QA result layer
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- metrics panel
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## EPIC 09 — Export Layer
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Goal: export useful outputs.
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Must deliver:
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- GeoJSON export
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- analysis metadata export
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- QA summary JSON
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- future-compatible report registry
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## EPIC 10 — Stabilization and Polish
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Goal: make the MVP coherent, testable and demo-ready.
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Must deliver:
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- error states
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- empty states
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- loading states
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- validation messages
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- test coverage on critical services
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- changelog and release notes
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