Implement end-to-end support for typed screenshots and priority rendering in monitoring.
Added
- Accept and forward screenshot_type from MQTT screenshot/dashboard payloads
(periodic, event_start, event_stop)
- Extend screenshot upload handling to persist typed screenshots and metadata
- Add dedicated priority screenshot serving endpoint with fallback behavior
- Extend monitoring overview with priority screenshot fields and summary count
- Add configurable PRIORITY_SCREENSHOT_TTL_SECONDS window for active priority state
Fixed
- Ensure screenshot cache-busting updates reliably via screenshot hash updates
- Preserve normal periodic screenshot flow while introducing event_start/event_stop priority path
Improved
- Monitoring dashboard now displays screenshot type badges
- Adaptive polling: faster refresh while priority screenshots are active
- Priority screenshot presentation is surfaced immediately to operators
Docs
- Update README and copilot-instructions to match new screenshot_type behavior,
priority endpoint, TTL config, monitoring fields, and retention model
- Remove redundant/duplicate documentation blocks and improve troubleshooting section clarity
add superadmin monitoring dashboard with protected route, menu entry, and monitoring data client
add monitoring overview API endpoint and improve log serialization/aggregation for dashboard use
extend listener health/log handling with robust status/event/timestamp normalization and screenshot payload extraction
improve screenshot persistence and retrieval (timestamp-aware uploads, latest screenshot endpoint fallback)
fix page_progress and auto_progress persistence/serialization across create, update, and detached occurrence flows
align technical and project docs to reflect implemented monitoring and no-version-bump backend changes
add documentation sync log entry and include minor compose env indentation cleanup
- add Alembic migration c1d2e3f4g5h6 for client monitoring:
- create client_logs table with FK to clients.uuid and performance indexes
- extend clients with process/health tracking fields
- extend data model with ClientLog, LogLevel, ProcessStatus, and ScreenHealthStatus
- enhance listener MQTT handling:
- subscribe to logs and health topics
- persist client logs from infoscreen/{uuid}/logs/{level}
- process health payloads and enrich heartbeat-derived client state
- add monitoring API blueprint server/routes/client_logs.py:
- GET /api/client-logs/<uuid>/logs
- GET /api/client-logs/summary
- GET /api/client-logs/recent-errors
- GET /api/client-logs/test
- register client_logs blueprint in server/wsgi.py
- align compose/dev runtime for listener live-code execution
- add client-side implementation docs:
- CLIENT_MONITORING_SPECIFICATION.md
- CLIENT_MONITORING_IMPLEMENTATION_GUIDE.md
- update TECH-CHANGELOG.md and copilot-instructions.md:
- document monitoring changes
- codify post-release technical-notes/no-version-bump convention
- Listener: subscribe to dashboard topic, forward screenshots to API
- API: store latest + last 20 timestamped screenshots per client, auto-delete older files
- Docs: updated README, TECH-CHANGELOG, and copilot-instructions for screenshot upload and retention policy
