Replace the planner's Overpass proxy with a self-hosted POI index:
- map-core POI categories become structured tag selectors (single source of
truth) + osmium filter / classification helpers
- planner.pois PostGIS table (centroid points, GiST + category indexes)
- /api/pois serving route (session + same-origin + rate limit, 100 cap)
- lib/pois.ts client (renamed from overpass.ts; GET, quantized bbox)
- metrics: poi_api_requests_total + DB-collected index rows/age gauges;
drop overpass_* metrics
- remove /api/overpass proxy + dead OVERPASS_URLS on the planner service
(Journal surface backfill still uses it via code default)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Public Overpass instances go bad without warning — we just lived
through a day where overpass.private.coffee (our single upstream)
returned 504s after 60s while lz4.overpass-api.de served the same
query in 0.6s. Survive that by trying a list of upstreams in order
until one responds usefully.
Server changes:
- OVERPASS_URLS env — comma-separated list, tried in order. Falls
back to OVERPASS_URL for backward compat, then to a built-in
default pair (lz4.overpass-api.de, overpass-api.de).
- Per-upstream timeout of 10s via AbortSignal.timeout, so a saturated
instance fails over in seconds, not minutes.
- Client abort propagation via AbortSignal.any — if the browser
cancels (e.g. user panned the map), the in-flight upstream fetch is
aborted too. Stops wasting upstream capacity on requests nobody
wants.
- Rate-limited-body detection (Overpass returns 200 with a
`rate_limited` marker when throttling) triggers failover.
- Per-upstream labels on overpass_upstream_requests_total and
overpass_upstream_duration_seconds so the dashboard can break out
health + latency by instance. Histogram buckets extended to 30s.
Compose: OVERPASS_URLS passthrough with the default pair hard-wired,
overridable via SOPS.
Tests: 8 cases covering the new fetchWithFailover helper — happy
path, 5xx failover, rate_limited failover, network error failover,
timeout tagging, all-upstreams-fail, client abort stops the loop,
per-attempt latency observation.
Follow-ups left out of scope:
- Client-side debounce (UI concern).
- Moving `.observe()` after body read for accuracy in measurement.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds four metrics surfaced via the existing /metrics endpoint:
- overpass_cache_events_total{result=hit|miss|coalesced}
- overpass_cache_size (gauge)
- overpass_upstream_duration_seconds (histogram)
- overpass_upstream_requests_total{status} — covers 2xx/4xx/5xx and
an explicit "error" label for network-level failures
Grafana dashboards/planner.json gets a new row:
- Upstream health (5m 2xx success ratio, red <90%, green >99%)
- Cache hit ratio
- Cache size
- Upstream p95 latency
Plus timeseries panels for cache event breakdown, upstream status
over time, and p50/p95/p99 upstream latency.
The success-rate formula uses clamp_min(..., 1) on the denominator so
it doesn't NaN when traffic is zero.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Vite's dev server can re-evaluate modules, causing prom-client
"already registered" errors for all metrics, not just default ones.
Use getOrCreate pattern to reuse existing metrics from the registry.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Importing metrics.server.ts from yjs-server.ts caused
collectDefaultMetrics() to re-register during HMR, crashing
the planner dev server. Check if metrics already exist first.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Health endpoints:
- /api/health (Journal) and /health (Planner) with DB connectivity check
- Docker healthchecks updated to use app health endpoints
Structured logging:
- Pino with JSON output in production, pretty-print in dev
- Request logging middleware in Planner (method, path, status, duration)
- Replaced console.log/error with structured logger in email and auth flows
Prometheus metrics:
- prom-client with default Node.js metrics + custom histograms/gauges
- /metrics endpoints on both apps
- http_request_duration, planner_active_sessions, brouter_request_duration
Monitoring stack:
- Prometheus, Loki, Grafana containers in docker-compose
- Grafana provisioned with datasources, dashboards, and alert rules
- Caddy access logging (JSON to stdout for Loki)
- grafana.trails.cool with basic auth via Caddy
Dashboards and alerting:
- Overview: request rate, error rate, latency p50/p95/p99
- Planner: active sessions, connected clients, BRouter latency
- Infrastructure: memory, CPU, event loop lag
- Alerts: disk >80%, app down 2min, error rate >5%
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
