- Expand project layout tree with backend/{storage,events,alerting,main}.py
and the modular frontend (main.js + modules/ + views/)
- Add docs/roadmap.md with the three-phase development direction and link
it from the README
- List YOLO_DB_PATH in the settings view environment reference
Backend:
- Persist alert events and robot delivery counters in SQLite (data/app.db,
YOLO_DB_PATH override); EventStore keeps its interface, DeliveryStatsStore
uses read/write-through UPSERT; in-memory fallback remains for standalone
AlertManager use
- Serve /api/detect from a sync endpoint and serialize YOLO inference with a
lock, so concurrent requests no longer block the event loop
- Unify single-image and session detection: requests without session_id
share the fixed single-image session and run full frame confirmation
- Store UTC Z-suffixed timestamps for sortable string comparison; close
executor and database on shutdown via FastAPI lifespan
Frontend:
- Split app.js into ES modules (main.js + modules/{dom,api,ui,charts,store}
+ views/{dashboard,inspection,events,robots,robotCards}), no build step
- Escape all server data interpolated into innerHTML; guard missing
event.classes; replace lazy element ID list with memoized qs()
- Remove hardcoded fake stats (trend badge, device donut segment)
Docs:
- Rewrite README: accurate weight policy (only trained best.pt committed,
no Git LFS), SQLite persistence, single-worker note, data asset inventory
- Align models/pretrained/README.md with actual files; add YOLO_DB_PATH to
.env.example; add persistence unit tests; ruff clean
- Track only trained best.pt under runs/*/weights; ignore epoch/last
checkpoints, downloaded base weights, and server logs (.gitignore)
- Move runs/detect/runs/detect/smoke_fire_yolo26n_v2-3 to
runs/detect/smoke_fire_yolo26n_v2-3 and update docs/model_comparison.md
- Replace the Git LFS claim with an accurate plain-file statement
