Structured logging via JsonFormatter replaces uvicorn's default format so
Loki can parse timestamps and fields. 14 business metrics (scrape stats,
throttle events, circuit breaker state, cache hit rate, OCR success rate,
Celery task lifecycle) are defined in a shared metrics module and
instrumented across the scraper pipeline, API, and workers. Celery
workers expose a Prometheus HTTP endpoint on configurable ports.
- Extract rate limiter DRY: consolidate 3 duplicated check/respond paths
into _check_counter and _enforce_limit helpers, add proper type annotations
- Replace bare Exception raises with FloorplanDownloadError and
RightmoveApiError; narrow catch clauses to specific exception types;
fix Step base class to inherit from ABC
- Consolidate MAX_OCR_WORKERS into config/scraper_config.py; extract
_find_tenure_value helper to deduplicate tenure parsing
- Extract _build_poi_distances_lookup from stream endpoint to reduce nesting
- Fix csv_exporter: optional decisions.json, NaN instead of -1 sentinels,
guard against division by zero on missing square meters
- Fix notifications.py broken list[Surface]() constructor, database.py
stale comments and missing type annotation, auth.py type:ignore,
ui_exporter.py stale TODO
- Fix 3 pre-existing test failures: mock cache layer in streaming tests,
bypass rate limiter for test isolation, fix cache invalidation test to
account for two-pattern scan loop
Replace timer-based _monitor_progress (1s sleep loop) with a
ProgressReporter class that publishes on actual state changes,
throttled to at most 1 publish per 250ms. A background flush
every 2s keeps ETA/elapsed current during quiet periods.
Switch WebSocket forwarder from get_message() polling (1s timeout)
to async pubsub.listen() for instant Redis-to-WebSocket delivery.
Combined latency improvement: ~1.5s average → ~250ms.
Replace 5s HTTP polling with WebSocket-based real-time updates for task
progress. Celery workers publish progress to Redis pub/sub channels;
a FastAPI WebSocket endpoint subscribes and forwards to the browser.
Polling is kept as a 30s fallback when WebSocket is unavailable.
The task progress drawer now supports multiple concurrent jobs with a
tab bar for switching between scrape and POI distance tasks.
Backend:
- Add services/task_progress_publisher.py (Redis pub/sub bridge)
- Add api/ws_routes.py (WebSocket endpoint with JWT auth)
- Publish progress from listing_tasks and poi_tasks
- Publish REVOKED via pub/sub on cancel/clear to fix stuck UI
Frontend:
- Add useTaskWebSocket hook with reconnection and keepalive
- Add TaskState and WS message types
- TaskIndicator: WS-driven updates with polling fallback
- TaskProgressDrawer: multi-job tabs, POI phase timeline
- Guard against WS overwriting local cancel state
- Fix silent log loss: replace hardcoded "uvicorn.error" logger with __name__
in osrm_client, otp_client, poi_distance_calculator, and poi_tasks (uvicorn
logger has no handlers in Celery worker, so all errors were silently dropped)
- Add Celery retry: autoretry_for=(Exception,), max_retries=3, retry_backoff
- Add top-level exception handling in task with full traceback logging
- Fix upsert_distances: replace session.merge() (PK-based) with proper
dialect-aware INSERT ON DUPLICATE KEY UPDATE / ON CONFLICT DO UPDATE
- Filter out listings with null/zero coordinates before routing
- Raise OSError when all routing engines fail with 0 results computed,
distinguishing "nothing to compute" from "all engines unreachable"
FastAPI router with CRUD endpoints for POIs, distance calculation
trigger, and distance queries. Streaming GeoJSON endpoint now accepts
include_poi_distances=true to inject travel times into features.
Celery task wraps the distance calculator with progress reporting.
The listing processor was hardcoded to create RentListing objects and
query only the rentlisting table. Buy listings fetched from Rightmove
were stored in the wrong table with missing fields. This threads
ListingType through ListingProcessor and all Step subclasses so the
correct model (RentListing/BuyListing) is created, the correct table
is queried, and buy-specific fields (service_charge, lease_left) are
parsed from the API response and included in GeoJSON streaming output.
The crawler subdirectory was the only active project. Moving it to the
repo root simplifies paths and removes the unnecessary nesting. The
vqa/ and immoweb/ directories were legacy/unused and have been removed.
Updated .drone.yml, .gitignore, .claude/ docs, and skills to reflect
the new flat structure.
