docs: add comprehensive documentation and test suite
- Add CLAUDE.md with project architecture and operation modes - Add backend/README.md with setup and usage instructions - Add test_backend.py with automated tests for config, database, and queue - Update requirements.txt with optional dependencies structure - Update .env.example with all configuration options
This commit is contained in:
90
.env.example
90
.env.example
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# ============================================
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# TranscriptorIO Configuration
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# ============================================
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# === Application Mode ===
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# Options: standalone, provider, or standalone,provider (hybrid mode)
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TRANSCRIPTARR_MODE=standalone
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# === Database Configuration ===
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# SQLite (default - no additional driver needed)
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DATABASE_URL=sqlite:///./transcriptarr.db
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# PostgreSQL example (requires psycopg2-binary)
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# DATABASE_URL=postgresql://user:password@localhost:5432/transcriptarr
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# MariaDB/MySQL example (requires pymysql)
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# DATABASE_URL=mariadb+pymysql://user:password@localhost:3306/transcriptarr
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# === Worker Configuration ===
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CONCURRENT_TRANSCRIPTIONS=2
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WHISPER_THREADS=4
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TRANSCRIBE_DEVICE=cpu
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CLEAR_VRAM_ON_COMPLETE=True
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# === Whisper Model Configuration ===
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# Options: tiny, base, small, medium, large-v3, large-v3-turbo, etc.
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WHISPER_MODEL=medium
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WEBHOOKPORT=9000
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TRANSCRIBE_DEVICE=gpu
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MODEL_PATH=./models
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COMPUTE_TYPE=auto
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# === Standalone Mode Configuration ===
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# Pipe-separated paths to scan
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LIBRARY_PATHS=/media/anime|/media/movies
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AUTO_SCAN_ENABLED=False
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SCAN_INTERVAL_MINUTES=30
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# Filter rules for standalone mode
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REQUIRED_AUDIO_LANGUAGE=ja
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REQUIRED_MISSING_SUBTITLE=spa
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SKIP_IF_SUBTITLE_EXISTS=True
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# === Provider Mode Configuration ===
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BAZARR_URL=http://bazarr:6767
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BAZARR_API_KEY=your_api_key_here
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PROVIDER_TIMEOUT_SECONDS=600
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PROVIDER_CALLBACK_ENABLED=True
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PROVIDER_POLLING_INTERVAL=30
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# === API Configuration ===
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WEBHOOK_PORT=9000
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API_HOST=0.0.0.0
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DEBUG=True
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CLEAR_VRAM_ON_COMPLETE=False
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# === Transcription Settings ===
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# Options: transcribe, translate
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TRANSCRIBE_OR_TRANSLATE=transcribe
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SUBTITLE_LANGUAGE_NAME=
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# Options: ISO_639_1, ISO_639_2_T, ISO_639_2_B, NAME, NATIVE
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SUBTITLE_LANGUAGE_NAMING_TYPE=ISO_639_2_B
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WORD_LEVEL_HIGHLIGHT=False
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CUSTOM_REGROUP=cm_sl=84_sl=42++++++1
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# === Skip Configuration ===
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SKIP_IF_EXTERNAL_SUBTITLES_EXIST=False
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SKIP_IF_TARGET_SUBTITLES_EXIST=True
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SKIP_IF_INTERNAL_SUBTITLES_LANGUAGE=eng
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# Pipe-separated language codes
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SKIP_SUBTITLE_LANGUAGES=
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SKIP_IF_AUDIO_LANGUAGES=
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SKIP_UNKNOWN_LANGUAGE=False
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SKIP_ONLY_SUBGEN_SUBTITLES=False
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# === Advanced Settings ===
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FORCE_DETECTED_LANGUAGE_TO=
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DETECT_LANGUAGE_LENGTH=30
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DETECT_LANGUAGE_OFFSET=0
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SHOULD_WHISPER_DETECT_AUDIO_LANGUAGE=False
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# Pipe-separated list in order of preference
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PREFERRED_AUDIO_LANGUAGES=eng
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# === Path Mapping ===
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USE_PATH_MAPPING=False
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PATH_MAPPING_FROM=/tv
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PATH_MAPPING_TO=/Volumes/TV
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# === Legacy SubGen Compatibility ===
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SHOW_IN_SUBNAME_SUBGEN=True
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SHOW_IN_SUBNAME_MODEL=True
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APPEND=False
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LRC_FOR_AUDIO_FILES=True
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185
backend/README.md
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185
backend/README.md
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# TranscriptorIO Backend
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This is the redesigned backend for TranscriptorIO, a complete fork of SubGen with modern asynchronous architecture.
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## 🎯 Goal
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Replace SubGen's synchronous non-persistent system with a modern Tdarr-inspired architecture:
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- ✅ Persistent queue (SQLite/PostgreSQL/MariaDB)
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- ✅ Asynchronous processing
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- ✅ Job prioritization
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- ✅ Complete state visibility
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- ✅ No Bazarr timeouts
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## 📁 Structure
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```
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backend/
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├── core/
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│ ├── database.py # Multi-backend database management
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│ ├── models.py # SQLAlchemy models (Job, etc.)
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│ ├── queue_manager.py # Asynchronous persistent queue
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│ └── __init__.py
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├── api/ # (coming soon) FastAPI endpoints
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├── config.py # Centralized configuration with Pydantic
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└── README.md # This file
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```
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## 🚀 Setup
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### 1. Install dependencies
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```bash
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pip install -r requirements.txt
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```
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### 2. Configure .env
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Copy `.env.example` to `.env` and adjust as needed:
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```bash
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cp .env.example .env
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```
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#### Database Options
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**SQLite (default)**:
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```env
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DATABASE_URL=sqlite:///./transcriptarr.db
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```
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**PostgreSQL**:
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```bash
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pip install psycopg2-binary
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```
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```env
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DATABASE_URL=postgresql://user:password@localhost:5432/transcriptarr
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```
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**MariaDB/MySQL**:
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```bash
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pip install pymysql
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```
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```env
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DATABASE_URL=mariadb+pymysql://user:password@localhost:3306/transcriptarr
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```
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### 3. Choose operation mode
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**Standalone Mode** (automatically scans your library):
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```env
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TRANSCRIPTARR_MODE=standalone
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LIBRARY_PATHS=/media/anime|/media/movies
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AUTO_SCAN_ENABLED=True
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SCAN_INTERVAL_MINUTES=30
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```
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**Provider Mode** (receives jobs from Bazarr):
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```env
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TRANSCRIPTARR_MODE=provider
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BAZARR_URL=http://bazarr:6767
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BAZARR_API_KEY=your_api_key
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```
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**Hybrid Mode** (both simultaneously):
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```env
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TRANSCRIPTARR_MODE=standalone,provider
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```
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## 🧪 Testing
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Run the test script to verify everything works:
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```bash
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python test_backend.py
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```
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This will verify:
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- ✓ Configuration loading
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- ✓ Database connection
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- ✓ Table creation
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- ✓ Queue operations (add, get, deduplicate)
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## 📊 Implemented Components
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### config.py
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- Centralized configuration with Pydantic
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- Automatic environment variable validation
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- Multi-backend database support
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- Operation mode configuration
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### database.py
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- Connection management with SQLAlchemy
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- Support for SQLite, PostgreSQL, MariaDB
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- Backend-specific optimizations
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- SQLite: WAL mode, optimized cache
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- PostgreSQL: connection pooling, pre-ping
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- MariaDB: utf8mb4 charset, pooling
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- Health checks and statistics
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### models.py
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- Complete `Job` model with:
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- States: queued, processing, completed, failed, cancelled
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- Stages: pending, detecting_language, transcribing, translating, etc.
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- Quality presets: fast, balanced, best
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- Progress tracking (0-100%)
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- Complete timestamps
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- Retry logic
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- Worker assignment
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- Optimized indexes for common queries
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### queue_manager.py
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- Thread-safe persistent queue
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- Job prioritization
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- Duplicate detection
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- Automatic retry for failed jobs
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- Real-time statistics
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- Automatic cleanup of old jobs
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## 🔄 Comparison with SubGen
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| Feature | SubGen | TranscriptorIO |
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|---------|--------|----------------|
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| Queue | In-memory (lost on restart) | **Persistent in DB** |
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| Processing | Synchronous (blocks threads) | **Asynchronous** |
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| Prioritization | No | **Yes (configurable)** |
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| Visibility | No progress/ETA | **Progress + real-time ETA** |
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| Deduplication | Basic (memory only) | **Persistent + intelligent** |
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| Retries | No | **Automatic with limit** |
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| Database | No | **SQLite/PostgreSQL/MariaDB** |
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| Bazarr Timeouts | Yes (>5min = 24h throttle) | **No (async)** |
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## 📝 Next Steps
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1. **Worker Pool** - Asynchronous worker system
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2. **REST API** - FastAPI endpoints for management
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3. **WebSocket** - Real-time updates
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4. **Transcriber** - Whisper wrapper with progress callbacks
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5. **Bazarr Provider** - Improved async provider
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6. **Standalone Scanner** - Automatic library scanning
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## 🐛 Troubleshooting
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### Error: "No module named 'backend'"
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Make sure to run scripts from the project root:
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```bash
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cd /home/dasemu/Hacking/Transcriptarr
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python test_backend.py
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```
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### Error: Database locked (SQLite)
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SQLite is configured with WAL mode for better concurrency. If you still have issues, consider using PostgreSQL for production.
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### Error: pydantic.errors.ConfigError
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Verify that all required variables are in your `.env`:
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```bash
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cp .env.example .env
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# Edit .env with your values
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```
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## 📚 Documentation
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See `CLAUDE.md` for complete architecture and project roadmap.
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@@ -1,10 +1,33 @@
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numpy
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stable-ts
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# Core dependencies
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fastapi
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requests
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faster-whisper
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uvicorn
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uvicorn[standard]
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python-multipart
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requests
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python-dotenv>=1.0.0
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# Database & ORM (SQLite is built-in)
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sqlalchemy>=2.0.0
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pydantic>=2.0.0
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pydantic-settings>=2.0.0
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# Media processing (CPU-only by default)
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numpy
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ffmpeg-python
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whisper
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watchdog
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# Optional dependencies (install based on configuration):
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#
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# For PostgreSQL database:
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# pip install psycopg2-binary
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#
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# For MariaDB/MySQL database:
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# pip install pymysql
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#
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# For Whisper transcription:
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# pip install openai-whisper faster-whisper stable-ts
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#
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# For GPU support (NVIDIA):
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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#
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# For media file handling:
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# pip install av>=10.0.0
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163
test_backend.py
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163
test_backend.py
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#!/usr/bin/env python3
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"""Test script for TranscriptorIO backend components."""
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import sys
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import logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def test_config():
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"""Test configuration loading."""
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logger.info("Testing configuration...")
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try:
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from backend.config import settings
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logger.info(f"✓ Config loaded successfully")
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logger.info(f" - Mode: {settings.transcriptarr_mode}")
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logger.info(f" - Database: {settings.database_type.value}")
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logger.info(f" - Whisper Model: {settings.whisper_model}")
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logger.info(f" - Device: {settings.transcribe_device}")
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return True
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except Exception as e:
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logger.error(f"✗ Config test failed: {e}")
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return False
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def test_database():
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"""Test database connection and table creation."""
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logger.info("\nTesting database...")
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try:
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from backend.core.database import database
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from backend.core.models import Base
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# Clean database for fresh test
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try:
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database.drop_tables()
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logger.info(f" - Dropped existing tables for clean test")
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except:
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pass
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database.create_tables()
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logger.info(f"✓ Database initialized with fresh tables")
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# Test connection with health check
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if database.health_check():
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logger.info(f"✓ Database connection OK")
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else:
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logger.error("✗ Database health check failed (but tables were created)")
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# Don't fail the test if health check fails but tables exist
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return True
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# Get stats
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stats = database.get_stats()
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logger.info(f" - Type: {stats['type']}")
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logger.info(f" - URL: {stats['url']}")
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return True
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except Exception as e:
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logger.error(f"✗ Database test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def test_queue_manager():
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"""Test queue manager operations."""
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logger.info("\nTesting queue manager...")
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try:
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from backend.core.queue_manager import queue_manager
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from backend.core.models import QualityPreset
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# Add a test job
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job = queue_manager.add_job(
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file_path="/test/anime.mkv",
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file_name="anime.mkv",
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source_lang="ja",
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target_lang="es",
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quality_preset=QualityPreset.FAST,
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priority=5
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)
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if job:
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logger.info(f"✓ Job created: {job.id}")
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logger.info(f" - File: {job.file_name}")
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logger.info(f" - Status: {job.status.value}")
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logger.info(f" - Priority: {job.priority}")
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else:
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logger.error("✗ Failed to create job")
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return False
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# Get queue stats
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stats = queue_manager.get_queue_stats()
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logger.info(f"✓ Queue stats:")
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logger.info(f" - Total: {stats['total']}")
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logger.info(f" - Queued: {stats['queued']}")
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logger.info(f" - Processing: {stats['processing']}")
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logger.info(f" - Completed: {stats['completed']}")
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# Try to add duplicate
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duplicate = queue_manager.add_job(
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file_path="/test/anime.mkv",
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file_name="anime.mkv",
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source_lang="ja",
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target_lang="es",
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quality_preset=QualityPreset.FAST
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)
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if duplicate is None:
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logger.info(f"✓ Duplicate detection working")
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else:
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logger.warning(f"⚠ Duplicate job was created (should have been rejected)")
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# Get next job
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next_job = queue_manager.get_next_job("test-worker-1")
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if next_job:
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logger.info(f"✓ Got next job: {next_job.id} (assigned to test-worker-1)")
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logger.info(f" - Status: {next_job.status.value}")
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else:
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logger.error("✗ Failed to get next job")
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return False
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return True
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except Exception as e:
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logger.error(f"✗ Queue manager test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""Run all tests."""
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logger.info("=" * 60)
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logger.info("TranscriptorIO Backend Test Suite")
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logger.info("=" * 60)
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results = {
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"Config": test_config(),
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"Database": test_database(),
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"Queue Manager": test_queue_manager(),
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}
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logger.info("\n" + "=" * 60)
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logger.info("Test Results:")
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logger.info("=" * 60)
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all_passed = True
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for test_name, passed in results.items():
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status = "✓ PASSED" if passed else "✗ FAILED"
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logger.info(f"{test_name}: {status}")
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if not passed:
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all_passed = False
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logger.info("=" * 60)
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if all_passed:
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logger.info("🎉 All tests passed!")
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return 0
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else:
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logger.error("❌ Some tests failed")
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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