Backend:
- Install ffmpeg + numpy in Docker image
- New waveform.py: FFT-based SVG generator with 64 frequency bands
- GET /api/clips/{id}/waveform — generates on demand, caches to /data/waveforms/
- DELETE /api/clips/{id} now cascade-removes waveform SVG
- Warm amber-to-orange HSL gradient (25° to 35° hue)
- Mirrored bars: top full opacity, bottom 60% opacity
Frontend:
- DetailPanel shows waveform image beneath album art (80px height)
- Only shown for clips with status='ready'
Storage: /data/waveforms/ persisted via existing ./data volume mount
The Lyria API returns a candidates[].content.parts[] array where:
- parts[0] = text metadata (e.g. '<instrumental>')
- parts[1] = inlineData with the actual audio payload
Previous code only checked parts[0] for inlineData, which always failed
with 'No audio data in response'. Fixed by iterating all parts to find
the inlineData entry.
Successfully generated first real audio clip (lo-fi hip hop, 30s, 728KB MP3).
Also includes: .env.example, requirements updates, docker-compose fixes,
frontend vite config, logger setup.
rin.kagamine