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>
138 lines
4.3 KiB
Python
138 lines
4.3 KiB
Python
"""Tests for range analysis pipeline — Essentia mocked out."""
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import uuid
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from datetime import datetime, timezone
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from unittest.mock import AsyncMock, MagicMock, patch
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import numpy as np
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import pytest
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from worker.analyzers.base import AnalysisResult
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from worker.pipeline.analyse_range import run_range_analysis, slice_audio
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def test_slice_audio_correct_samples():
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sr = 44100
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audio = np.ones(sr * 10, dtype=np.float32) # 10 seconds
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sliced = slice_audio(audio, sr, start_ms=2000, end_ms=5000)
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expected_len = int(3.0 * sr) # 3 seconds
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assert abs(len(sliced) - expected_len) <= sr * 0.01 # within 10ms
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def test_slice_audio_preserves_content():
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sr = 44100
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audio = np.arange(sr * 10, dtype=np.float32)
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sliced = slice_audio(audio, sr, start_ms=0, end_ms=1000)
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assert sliced[0] == 0.0
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assert len(sliced) == sr
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@pytest.mark.asyncio
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async def test_run_range_analysis_merges_results():
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"""All analyzers are mocked — tests the merge + DB write logic."""
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from worker.analyzers.bpm import BPMAnalyzer
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from worker.analyzers.key import KeyAnalyzer
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from worker.analyzers.loudness import LoudnessAnalyzer
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audio = np.sin(np.linspace(0, 2 * np.pi * 5, 44100 * 5)).astype(np.float32)
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sr = 44100
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version_id = uuid.uuid4()
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annotation_id = uuid.uuid4()
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mock_session = AsyncMock()
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mock_session.get = AsyncMock(return_value=None)
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mock_session.add = MagicMock()
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mock_session.commit = AsyncMock()
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result_mock = AsyncMock()
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result_mock.scalar_one_or_none.return_value = None
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mock_session.execute.return_value = result_mock
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with (
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patch.object(
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BPMAnalyzer,
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"analyze",
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return_value=AnalysisResult("bpm", {"bpm": 120.0, "bpm_confidence": 0.9}),
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),
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patch.object(
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KeyAnalyzer,
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"analyze",
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return_value=AnalysisResult("key", {"key": "A minor", "scale": "minor", "key_confidence": 0.8}),
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),
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patch.object(
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LoudnessAnalyzer,
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"analyze",
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return_value=AnalysisResult(
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"loudness",
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{"avg_loudness_lufs": -18.0, "peak_loudness_dbfs": -6.0, "energy": 0.5},
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),
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),
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):
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result = await run_range_analysis(
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audio=audio,
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sample_rate=sr,
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version_id=version_id,
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annotation_id=annotation_id,
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start_ms=0,
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end_ms=5000,
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session=mock_session,
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)
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assert result["bpm"] == 120.0
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assert result["key"] == "A minor"
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assert result["avg_loudness_lufs"] == -18.0
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mock_session.add.assert_called_once()
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@pytest.mark.asyncio
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async def test_run_range_analysis_handles_analyzer_failure():
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"""If one analyzer raises, others should still run."""
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from worker.analyzers.bpm import BPMAnalyzer
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from worker.analyzers.chroma import ChromaAnalyzer
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audio = np.ones(44100, dtype=np.float32)
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mock_session = AsyncMock()
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result_mock = AsyncMock()
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result_mock.scalar_one_or_none.return_value = None
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mock_session.execute.return_value = result_mock
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mock_session.add = MagicMock()
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mock_session.commit = AsyncMock()
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with (
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patch.object(BPMAnalyzer, "analyze", side_effect=RuntimeError("Essentia not available")),
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patch.object(
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ChromaAnalyzer,
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"analyze",
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return_value=AnalysisResult("chroma", {"chroma_vector": [0.1] * 12}),
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),
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):
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result = await run_range_analysis(
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audio=audio,
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sample_rate=44100,
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version_id=uuid.uuid4(),
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annotation_id=uuid.uuid4(),
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start_ms=0,
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end_ms=1000,
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session=mock_session,
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)
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# bpm should be None (failed), chroma should be present
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assert result.get("bpm") is None
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assert result.get("chroma_vector") == [0.1] * 12
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@pytest.mark.asyncio
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async def test_run_range_analysis_empty_slice_raises():
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audio = np.array([], dtype=np.float32)
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with pytest.raises(ValueError, match="Empty audio slice"):
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await run_range_analysis(
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audio=audio,
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sample_rate=44100,
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version_id=uuid.uuid4(),
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annotation_id=uuid.uuid4(),
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start_ms=0,
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end_ms=0,
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session=AsyncMock(),
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)
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