Initial commit: RehearsalHub POC

Full-stack self-hosted band rehearsal platform:

Backend (FastAPI + SQLAlchemy 2.0 async):
- Auth with JWT (register, login, /me, settings)
- Band management with Nextcloud folder integration
- Song management with audio version tracking
- Nextcloud scan to auto-import audio files
- Band membership with link-based invite system
- Song comments
- Audio analysis worker (BPM, key, loudness, waveform)
- Nextcloud activity watcher for auto-import
- WebSocket support for real-time annotation updates
- Alembic migrations (0001–0003)
- Repository pattern, Ruff + mypy configured

Frontend (React 18 + Vite + TypeScript strict):
- Login/register page with post-login redirect
- Home page with band list and creation form
- Band page with member panel, invite link, song list, NC scan
- Song page with waveform player, annotations, comment thread
- Settings page for per-user Nextcloud credentials
- Invite acceptance page (/invite/:token)
- ESLint v9 flat config + TypeScript strict mode

Infrastructure:
- Docker Compose: PostgreSQL, Redis, API, worker, watcher, nginx
- nginx reverse proxy for static files + /api/ proxy
- make check runs all linters before docker compose build

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

worker/tests/test_analyzers.py

@@ -0,0 +1,88 @@
+"""Unit tests for individual analyzers (Essentia mocked, librosa used directly)."""
+
+from unittest.mock import MagicMock, patch
+
+import numpy as np
+import pytest
+
+from worker.analyzers.base import AnalysisResult
+from worker.analyzers.chroma import ChromaAnalyzer
+from worker.analyzers.loudness import LoudnessAnalyzer
+from worker.analyzers.mfcc import MFCCAnalyzer
+from worker.analyzers.spectral import SpectralAnalyzer
+
+
+def test_loudness_analyzer_returns_expected_fields(sine_440hz):
+    audio, sr = sine_440hz
+    result = LoudnessAnalyzer().analyze(audio, sr)
+    assert isinstance(result, AnalysisResult)
+    assert result.analyzer_name == "loudness"
+    assert "avg_loudness_lufs" in result.fields
+    assert "peak_loudness_dbfs" in result.fields
+    assert "energy" in result.fields
+    assert result.fields["energy"] is not None
+    assert 0.0 <= result.fields["energy"] <= 1.0
+
+
+def test_chroma_analyzer_returns_12_dimensions(sine_440hz):
+    audio, sr = sine_440hz
+    result = ChromaAnalyzer().analyze(audio, sr)
+    assert result.analyzer_name == "chroma"
+    chroma = result.fields["chroma_vector"]
+    assert chroma is not None
+    assert len(chroma) == 12
+    assert all(isinstance(v, float) for v in chroma)
+
+
+def test_mfcc_analyzer_returns_13_dimensions(sine_440hz):
+    audio, sr = sine_440hz
+    result = MFCCAnalyzer().analyze(audio, sr)
+    assert result.analyzer_name == "mfcc"
+    mfcc = result.fields["mfcc_mean"]
+    assert mfcc is not None
+    assert len(mfcc) == 13
+
+
+def test_spectral_analyzer_returns_centroid(sine_440hz):
+    audio, sr = sine_440hz
+    result = SpectralAnalyzer().analyze(audio, sr)
+    assert "spectral_centroid" in result.fields
+    # 440 Hz tone should have centroid near 440 Hz
+    centroid = result.fields["spectral_centroid"]
+    assert centroid is not None
+    assert 300 < centroid < 600
+
+
+def test_bpm_analyzer_falls_back_to_librosa_when_essentia_unavailable(sine_440hz):
+    audio, sr = sine_440hz
+    from worker.analyzers.bpm import BPMAnalyzer
+
+    with patch.dict("sys.modules", {"essentia": None, "essentia.standard": None}):
+        with patch.object(
+            BPMAnalyzer,
+            "_essentia_bpm",
+            side_effect=ImportError("no essentia"),
+        ):
+            result = BPMAnalyzer().analyze(audio, sr)
+
+    assert result.analyzer_name == "bpm"
+    assert "bpm" in result.fields
+    # librosa result for a sine wave — rough estimate
+    assert result.fields["bpm"] is not None
+    assert result.fields["bpm"] > 0
+
+
+def test_key_analyzer_returns_none_fields_when_essentia_unavailable(sine_440hz):
+    audio, sr = sine_440hz
+    from worker.analyzers.key import KeyAnalyzer
+
+    with patch.object(KeyAnalyzer, "analyze", wraps=KeyAnalyzer().analyze):
+        with patch.dict("sys.modules", {"essentia": None, "essentia.standard": None}):
+            with patch(
+                "worker.analyzers.key.__import__",
+                side_effect=ImportError,
+            ):
+                result = KeyAnalyzer().analyze(audio, sr)
+
+    # When Essentia fails, returns None fields (no crash)
+    assert result.analyzer_name == "key"