- New core/api_call_tracker.py — centralized tracker with rolling 60s
timestamps (speedometer) and 24h minute-bucketed history (charts)
- Instrument all 9 service client rate_limited decorators to record
actual API calls with per-endpoint tracking for Spotify
- 1-second WebSocket push loop for real-time gauge updates
- Modern radial arc gauges with service brand colors, glowing active
arc, endpoint dot, 0/max scale labels, smooth CSS transitions
- Click any gauge to open detail modal with 24h call history chart
(Canvas 2D, HiDPI, gradient fill, grid lines, danger zone band)
- Spotify modal shows per-endpoint history lines with color legend
and live per-endpoint breakdown bars
- Rate limited state indicator — blinking red badge with countdown
timer appears on gauge card when Spotify ban is active
- REST endpoint GET /api/rate-monitor/history/<service> for chart data
- Responsive grid layout (5 cols desktop, 3 tablet, 2 phone)
When a user manually matched an artist to a service ID then triggered
enrichment, the worker re-searched by name, failed to find a match,
and overwrote the status back to not_found — despite the ID being
valid. Now both Genius and AudioDB workers check for existing service
IDs before searching by name. If an ID exists (from manual match),
the worker uses it for a direct API lookup to enrich metadata while
preserving the matched status. Added AudioDB lookup-by-ID client
methods for artist, album, and track.
Integrated TheAudioDB as a metadata enrichment source. A background worker scans the library in priority order (artists → albums → tracks), matching entities via fuzzy name comparison and storing style, mood, and AudioDB IDs. Includes rate limiting, 30-day retry for not-found items, and a UI tooltip showing phase-based scan progress.
Broque Thomas
Broque Thomas