cc8d0f6969
Major Features: - Multi-source download system (Soulseek/Lidarr with fallback) - Configurable enrichment speed control (1-5x) - Mobile touch drag support for seek sliders - iOS PWA media controls (Control Center, Lock Screen) - Artist name alias resolution via Last.fm - Circuit breaker pattern for audio analysis Critical Fixes: - Audio analyzer stability (non-ASCII, BrokenProcessPool, OOM) - Discovery system race conditions and import failures - Radio decade categorization using originalYear - LastFM API response normalization - Mood bucket infinite loop prevention Security: - Bull Board admin authentication - Lidarr webhook signature verification - JWT token expiration and refresh - Encryption key validation on startup Closes #2, #6, #9, #13, #21, #26, #31, #34, #35, #37, #40, #43
72 lines
2.9 KiB
Plaintext
72 lines
2.9 KiB
Plaintext
# Lidify Configuration
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# Copy to .env and edit as needed
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# ==============================================================================
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# Database Configuration
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# ==============================================================================
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DATABASE_URL="postgresql://lidify:lidify@localhost:5433/lidify"
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# ==============================================================================
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# Redis Configuration
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# ==============================================================================
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# Note: Redis container port is mapped to 6380 to avoid conflicts with other Redis instances
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REDIS_URL="redis://localhost:6380"
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# ==============================================================================
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# REQUIRED: Path to your music library
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# ==============================================================================
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MUSIC_PATH=/path/to/your/music
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# DEVELOPMENT: Use your local path (e.g., /home/user/Music)
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# DOCKER: This is the HOST path that gets mounted to /music in the container
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# The backend inside Docker always uses /music, not this value.
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# Example: MUSIC_PATH=~/Music (container mounts as ~/Music:/music)
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# ==============================================================================
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# REQUIRED: Security Keys
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# ==============================================================================
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# Encryption key for sensitive data (API keys, passwords, 2FA secrets)
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# CRITICAL: You MUST set this before starting Lidify
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# Generate with: openssl rand -base64 32
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SETTINGS_ENCRYPTION_KEY=
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# Session secret (auto-generated if not set)
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# Generate with: openssl rand -base64 32
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SESSION_SECRET=
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# ==============================================================================
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# OPTIONAL: Customize these if needed
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# ==============================================================================
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# Port to access Lidify (default: 3030)
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PORT=3030
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# Timezone (default: UTC)
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TZ=UTC
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# Logging level (default: debug in development, warn in production)
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# Options: debug, info, warn, error, silent
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LOG_LEVEL=debug
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# Allow public access to API documentation in production (default: false)
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# Set to 'true' to make /api/docs accessible without authentication in production
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# Development mode always allows public access
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# DOCS_PUBLIC=true
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# DockerHub username (for pulling images)
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# Your DockerHub username (same as GitHub: chevron7locked)
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DOCKERHUB_USERNAME=chevron7locked
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# Version tag (use 'latest' or specific like 'v1.0.0')
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VERSION=latest
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# ==============================================================================
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# OPTIONAL: Audio Analyzer CPU Control
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# ==============================================================================
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# Audio Analyzer CPU Control
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# AUDIO_ANALYSIS_WORKERS=2 # Number of parallel worker processes (1-8)
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# AUDIO_ANALYSIS_THREADS_PER_WORKER=1 # Threads per worker for TensorFlow/FFT (1-4, default 1)
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# Formula: max_cpu_usage ≈ WORKERS × (THREADS_PER_WORKER + 1) × 100%
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# Example: 2 workers × (1 thread + 1 overhead) = ~400% CPU (4 cores)
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