Implements complete plan to resolve duplicate span_id issues and metric collection errors:
- Ensure edge handlers return proper Response objects to prevent double logging
- Update collect-metrics to use valid metric categories, fix system_alerts query, and adjust returns
- Apply detect-anomalies adjustments if needed and add defensive handling in wrapper
- Prepare ground for end-to-end verification of location-related fixes
Refactor process-expired-bans, detect-location, detect-anomalies, rate-limit-metrics, and collect-metrics to use createEdgeFunction wrapper with standardized error handling, tracing, and reduced boilerplate. Update signatures to receive { supabase, span, requestId } (and user where applicable), replace manual logging with span events, remove per-function boilerplate, and ensure consistent wrapper configuration (cors, auth, rate limits, and tracing).
Enhance detect-anomalies with advanced ML algorithms (Isolation Forest, seasonal decomposition, predictive modeling) and schedule frequent runs via pg_cron. Updates include implementing new detectors, ensemble logic, and plumbing to run and expose results through the anomaly detection UI and data hooks.
Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.
