feat: data quality UX - dashed imageless polygons, sidebar count fix (FE #70, Meta #5)

[madhavcodez]

Summary

• Meta Merge issue-2-initial-ui -> master #5: Filter l.geom IS NOT NULL in /locations and /disasters/{id}/summary — locations without geometry were counted in sidebar but never rendered on map, causing "8 locations" vs 0 visible mismatch
• FE Polygons without any image on them #70: Frontend hasOverlay boolean on MapPolygon, dashed stroke for polygons without satellite imagery overlay
• Meta Adjust pr workflow with new branch name #6: New GET /data-quality/report?disaster_id=... diagnostic endpoint — reports location/image-pair data quality metrics (null geometry, missing bounds, missing paths, unreferenced pairs) for storage analysis

Changes

Backend (2 files)

• app/main.py: Added l.geom IS NOT NULL to /locations and /disasters/{id}/summary WHERE clauses; registered data_quality router
• app/routers/data_quality.py (NEW): Single diagnostic endpoint with efficient COUNT+FILTER SQL for location/image-pair quality metrics

Frontend (3 files)

• types.ts: Added hasOverlay?: boolean to MapPolygon interface
• Dashboard.tsx: Thread hasOverlay through polygon parser, filter sidebar tile counts by geometry presence
• MapView.tsx: Dashed stroke (dashArray: "6 4") for polygons where hasOverlay === false

Closes UTDisaster/meta#5, #70, UTDisaster/meta#6

Test plan

• Sidebar tile count matches visible polygons on map (no phantom locations)
• Aggregate "Damage Classification" total matches renderable locations only
• Polygons without satellite imagery show dashed outline instead of solid
• Polygons WITH imagery show normal solid outline (no regression)
• GET /data-quality/report?disaster_id=hurricane-florence returns valid JSON with all metrics
• GET /data-quality/report without disaster_id returns 422
• Frontend TypeScript build passes clean
• Backend Python files parse without errors

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Project	Deployment	Actions	Updated (UTC)
frontend	Ready	Preview, Comment	May 7, 2026 4:21pm