aaverbitskiy 530bb4754e meta: run the 5 facet queries concurrently via asyncio.gather ... /api/meta built the city/brand/dimension/manager/status option lists with five sequential `await ch_query(...)` calls, so its latency was the sum of five round-trips to ClickHouse. The queries are independent, and the frontend hits /api/meta on every filter change, so this was 5x latency for no reason. Wrap them in asyncio.gather so they fire in parallel; total time is now ~the slowest single query plus overhead. Output verified identical. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>		2026-08-05 19:30:29 +00:00
frontend	filters: add faceted Status (task_status) filter — meta.statuses, boards/bookings/map filtering (map marker visibility), UI dropdown under Size in filter grid	2026-07-27 19:40:26 +00:00
.gitignore	db creds: move ClickHouse user/password to gitignored .env via compose env_file; drop hardcoded default from main.py	2026-07-23 05:19:13 +00:00
docker-compose.yml	db creds: move ClickHouse user/password to gitignored .env via compose env_file; drop hardcoded default from main.py	2026-07-23 05:19:13 +00:00
Dockerfile	Import mapdash (FastAPI + vis-timeline) + docker-compose with static volume	2026-07-17 15:13:27 +00:00
main.py	meta: run the 5 facet queries concurrently via asyncio.gather	2026-08-05 19:30:29 +00:00
requirements.txt	Import mapdash (FastAPI + vis-timeline) + docker-compose with static volume	2026-07-17 15:13:27 +00:00