verify

name	verify
description	Build/launch/drive recipe for verifying VinylFlow changes end-to-end (FastAPI backend + Alpine.js frontend).

Verifying VinylFlow

Launch (sandboxed — never pollutes real config/output)

SCRATCH=<scratchpad>/verify
mkdir -p "$SCRATCH"/{uploads,output,config}
export VINYLFLOW_UPLOAD_DIR="$SCRATCH/uploads" DEFAULT_OUTPUT_DIR="$SCRATCH/output" VINYLFLOW_CONFIG_DIR="$SCRATCH/config"
python3 -m uvicorn backend.api:app --port 8765   # run in background

A real Discogs token lives at ~/Library/Application Support/VinylFlow/config/settings.json (key DISCOGS_USER_TOKEN). Copy just that key into $SCRATCH/config/settings.json to enable search/process without touching the user's real output dir.

Test audio (3 known tracks: 440/660/880 Hz tones, 3s silence gaps, 126s total)

ffmpeg -y -f lavfi -i "sine=frequency=440:duration=40" -f lavfi -i "anullsrc=r=44100:cl=mono:d=3" \
  -f lavfi -i "sine=frequency=660:duration=40" -f lavfi -i "anullsrc=r=44100:cl=mono:d=3" \
  -f lavfi -i "sine=frequency=880:duration=40" \
  -filter_complex "[0][1][2][3][4]concat=n=5:v=0:a=1[out]" -map "[out]" -ar 44100 -ac 2 \
  -c:a pcm_s16le "$SCRATCH/Test Récord – Side A.wav"

Use a non-ASCII filename on purpose — Content-Disposition regressions show up as 500s.

Drive the API surface

1. curl -F "files=@<wav>" localhost:8765/api/upload → expect duration 126.0
2. POST /api/analyze {"file_id":...} → expect 3 tracks at ~0/43/86s
3. GET /api/waveform-peaks/<id> → 200, ~40KB JSON
4. GET /api/audio/<id> → after preconvert finishes: content-type: audio/mpeg, RFC-5987 filename*=utf-8''... header (GET only; HEAD 405s — known)
5. GET /api/preview/<id>/3 twice → second call must be cached (<50ms)
6. POST /api/process with release_id 2879 (Daft Punk – Discovery), mapping A1–A3 → poll GET /api/process/<id> until complete
7. Verify output FLACs: each exactly 40.00s, dominant FFT frequency 440/660/880 Hz respectively (proves seek accuracy), Mutagen tags + 1 embedded picture each.

Drive the UI (gstack /browse)

• $B goto http://localhost:8765, $B upload 'input[type="file"]' <wav>
• Click Analyze via $B js (button text "Analyze & Detect Tracks"), expect "Detecting tracks…" spinner, then 3 tracks + waveform regions render from peaks.
• $B network should show /api/audio as 206 range requests of the ~2MB MP3, not the 22MB WAV.
• WaveSurfer canvas lives in shadow DOM — #waveform * counts only 1 light-DOM child; screenshot to confirm rendering instead.

Gotchas

• Session store is in-memory: restarting uvicorn invalidates all file_ids.
• Tests: python3 -m pytest tests/ -q (fast, no ffmpeg needed for most).
• node --check backend/static/app.js catches JS syntax errors (no build step).