GeoIntel Frontend (Sprint 4)
React + TypeScript + MapLibre foundation for project/area/dataset workflow.
Scope implemented
- API client layer (
src/services/api) - Project and area list/create flows
- Vector and raster dataset upload + metadata display
- MapLibre map with uploaded feature preview
Sprint 2 additions
- Dataset manager details now shows:
- dataset type
- processing status
- file size
- vector feature count
- vector bounds
- file metadata (original/stored filename, MIME type, SHA256)
- raster metadata preview when available
- Vector inspection and raster metadata endpoint support in API client
- Readiness indicator for uploaded datasets
Sprint 3 additions
- Dataset detail panel now includes:
- available operations
- operation run actions (
clip,buffer,intersect) - linked job list and status details
- derived dataset navigation from job output
- Raster operation callouts for unavailable processing states
- Vector operation summaries integrated in selected dataset view
Sprint 4 additions
- Dataset detail panel now includes raster-specific runtime metadata:
- driver, dimensions, band count, bounds, CRS
- storage details (
size_bytes,checksum_sha256)
- Added action buttons for raster operations:
- regenerate/inspect metadata
- generate preview
- generate tiles
- clip by selected area
- Added clear unavailable states for raster ops when backend returns
RASTER_PROCESSING_UNAVAILABLE - Added operation/job result visibility for raster runs with derived dataset navigation
Sprint 5 additions
- Added raster band statistics display in the dataset detail panel (min/max/mean/std/nodata ratio/valid pixel count).
- Added raster reproject workflow in UI (target CRS + resampling) with visible errors for invalid CRS/dependency gaps.
- Added stronger raster tile/clip result context with consistent job status display and derived output links where produced.
- Added tile manifest-aware controls for raster tile generation parameters.
Sprint 6 additions
- Added spectral index controls in dataset detail panel:
- NDVI with NIR/Red band inputs
- NDWI with NIR/Green band inputs
- NDBI with SWIR/NIR band inputs
- Added job-driven execution for local spectral index operations and result dataset linking.
- Added clear error surfacing for dependency-unavailable index execution (
RASTER_PROCESSING_UNAVAILABLE). - Added CRS/bounds/resolution context visibility for raster index source inspection.
Sprint 7B additions
- Added a lightweight Provider Capabilities panel.
- The panel lists GRB, OSM, manual and fixture provider status, configured state, authority level, supported layers, supported geometry types, query modes and limitation messages.
- GRB and OSM are shown as
not_configured; the UI does not expose a live import/download action for them. - Existing dataset, reference and QA/QC UI remains unchanged.
Sprint 8 additions
- Added a minimal Detection Lab panel.
- The panel lists detection model capabilities and clearly shows configured/not_configured status.
- Users can select a raster dataset, choose a confidence threshold and request a detection run.
- Unavailable model responses are shown honestly with the backend error code/message.
- The UI does not claim real YOLO/PyTorch inference is enabled.
Sprint 8B additions
- Detection Lab now exposes the
yolo-configuredcapability reported by the backend. - When
yolo-configuredis selected, users can provide an existing raster tile manifest path. - The UI still does not download models or create fake detections; backend status and error codes remain the source of truth.
Sprint 8C additions
- Detection Lab now lists detection analysis runs and persisted detections.
- Users can filter detections by class and minimum confidence.
- Selected detection GeoJSON is rendered on the existing MapLibre workbench map.
- Detection QA compares a selected detection run against a reference dataset and displays persisted QA metrics.
- No segmentation UI is introduced in Sprint 8C.
Sprint 9 additions
- Added a minimal Segmentation Lab panel.
- The panel lists segmentation model capabilities and clearly distinguishes placeholders, fixture/demo mode, SAM placeholder and YOLO-seg placeholder states.
- Users can select a raster dataset, select a configured segmentation model, list segmentation runs and load persisted segmentation results.
- Segmentation results display class, confidence, area, model, tile and mask path fields.
- Selected segmentation GeoJSON is rendered through the existing MapLibre workbench map.
- Segmentation QA compares a selected segmentation run against a reference dataset and displays persisted QA metrics.
- Real SAM/YOLO-seg inference, model downloads and new AI dependencies are not introduced in Sprint 9.
Sprint 10 maintainability updates
- Split large workbench sections out of
src/App.tsxwithout changing UI behavior:src/components/project/ProjectPanel.tsxsrc/components/project/AreaPanel.tsxsrc/components/providers/ProviderPanel.tsxsrc/components/detection/DetectionLab.tsxsrc/components/segmentation/SegmentationLab.tsx
App.tsxstill owns shared state orchestration and API calls; extracted components receive the same state and callbacks as props.- Existing MapLibre overlay behavior, dataset/reference flows, Detection Lab flows and Segmentation Lab flows are unchanged.
Sprint 15 additions
- Added a Projects panel action to load the explicit offline demo workflow.
- The action calls
POST /api/v1/demo/workflowand refreshes projects, areas, datasets and run lists. - Demo data is labelled fixture/demo data and does not represent live GRB/OSM data or AI inference.
Sprint 16 additions
- Added a QA/QC Results panel that lists persisted project quality checks and metric rows.
- The panel calls
GET /api/v1/projects/{project_id}/quality-checks. - Demo workflow loading and QA actions refresh the persisted QA/QC result list.
Sprint 17 additions
- Added an Export Center panel.
- The panel can create persisted exports for:
- project metadata JSON
- project report HTML
- selected vector dataset GeoJSON
- selected detection run GeoJSON
- selected segmentation run GeoJSON
- Export records are listed from
GET /api/v1/exports/projects/{project_id}/exports. - JSON artifact preview uses
GET /api/v1/exports/{export_id}/content. - Artifact downloads use
GET /api/v1/exports/{export_id}/download. - The UI does not introduce live provider downloads, a report designer or new AI behavior.
- The HTML report is a lightweight artifact built from persisted project, dataset, QA/QC summary and export history state; it is not a PDF/report designer.
Release hardening updates
- Production builds split application code, React vendor code and MapLibre vendor code into separate chunks.
- The MapLibre chunk is intentionally larger than generic app chunks because it contains the GIS map runtime; the Vite warning threshold is set to keep this known vendor dependency visible without warning on every release build.
Raster dependency visibility
Raster metadata and raster ops may remain unavailable when backend raster stack is missing. In that case:
- raster uploads are still stored and listed
- status becomes
failed - backend returns explicit
RASTER_PROCESSING_UNAVAILABLEresponses for metadata/preview/clip/tile
Run locally
Prerequisites
- Node.js 18+
Install dependencies
cd frontend
npm install
Run locally
npm run start
Type check and build
npm run typecheck
npm run build
Dockerized frontend
docker compose up --build frontend
When using the repository Docker Compose stack, the frontend is published on host port 1202: http://localhost:1202.
The frontend API client uses same-origin requests by default. In Docker Compose, nginx serves the built frontend and reverse proxies /api and /health to the backend service, so browser clients on LAN hosts do not call their own localhost:8000.
Useful repository scripts
bash scripts/frontend_install.shbash scripts/frontend_typecheck.shbash scripts/frontend_build.shbash scripts/frontend_dev.sh
Key docs
docs/40-build-launch/SPRINT_1_SCOPE_FREEZE.mddocs/API_CONTRACTS.mddocs/REPOSITORY_CONVENTIONS.md