Backend:
- Add HostData field to ChartResponse struct in types.go
- Add host data processing in /api/charts endpoint using 'host:' prefix key
- Include hosts count in debug logging for chart responses
Frontend:
- Add 'host' to MetricResourceKind type in metricsKeys.ts
- Add hostData field to ChartsResponse interface in charts.ts
- Process hostData in seedFromBackend() in metricsHistory.ts
- Pass resourceId to EnhancedCPUBar and StackedMemoryBar in HostsOverview.tsx
- Add '7d' and '30d' to TIME_RANGE_OPTIONS in metricsViewMode.ts
This enables sparkline trend visualization for unified host agents,
consistent with Proxmox guests. Data accumulates over time at 30s intervals.
- Implement 'Show Problems Only' toggle combining degraded status, high CPU/memory alerts, and needs backup filters
- Add 'Investigate with AI' button to filter bar for problematic guests
- Fix dashboard column sizing inconsistencies between bars and sparklines view modes
- Fix PBS backups display and polling
- Refine AI prompt for general-purpose usage
- Fix frontend flickering and reload loops during initial load
- Integrate persistent SQLite metrics store with Monitor
- Fortify AI command routing with improved validation and logging
- Fix CSRF token handling for note deletion
- Debug and fix AI command execution issues
- Various AI reliability improvements and command safety enhancements
Add comprehensive sparkline chart support as an alternative to progress bars
for CPU, Memory, and Disk metrics across all tables.
Features:
- Toggle between bars/trends view modes (persisted to localStorage)
- 30-second sampling with 2-hour retention window using ring buffer
- Canvas-based rendering with shared requestAnimationFrame for efficiency
- Hover tooltips showing exact values and timestamps
- Threshold reference lines (warning/critical) for context
- localStorage persistence survives page refreshes (12-hour max age)
- Dynamic width adaptation to column size
- Namespaced resource IDs prevent collisions
- Lifecycle cleanup prevents memory leaks
Performance optimizations:
- Decoupled sampling from WebSocket handler (6x reduction in recording)
- O(1) ring buffer insertions (no array cloning)
- Batched canvas rendering (single rAF for all sparklines)
- Debounced localStorage writes
- Automatic pruning of removed resources
UI improvements:
- Consistent radio toggle styling matching other filters
- Fixed column widths prevent layout shift during toggle
- Fixed row heights prevent vertical size changes
- Sparklines fill available column width proportionally
