{
  "master": {
    "tasks": [
      {
        "id": 1,
        "title": "Setup PostgreSQL Database with JSONB Support",
        "description": "Implement the database foundation for the Trax platform using PostgreSQL with JSONB support for flexible data storage.",
        "details": "1. Install PostgreSQL 14+ with JSONB support\n2. Create database schema for Trax\n3. Implement SQLAlchemy models with Registry pattern as specified in PRD\n4. Create the following tables:\n   - media_files (id, filename, file_size, duration, created_at, updated_at)\n   - transcription_jobs (id, media_file_id, status, created_at, updated_at)\n   - transcription_results (id, job_id, version, content JSONB, accuracy, processing_time)\n5. Setup Alembic for migrations\n6. Implement connection pooling with appropriate limits\n7. Create database utility functions for common operations\n8. Ensure proper indexing for JSONB fields\n9. Implement error handling and connection retry logic",
        "testStrategy": "1. Unit tests for all database models\n2. Integration tests with a test PostgreSQL instance\n3. Test JSONB query performance\n4. Verify migration scripts work correctly\n5. Test connection pooling under load\n6. Validate error handling with simulated failures\n7. Benchmark query performance with large datasets",
        "priority": "high",
        "dependencies": [],
        "status": "in-progress",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 2,
        "title": "Implement Basic Whisper Transcription Service",
        "description": "Create the core transcription service using Whisper to achieve the 95%+ accuracy target for v1.",
        "details": "1. Integrate Whisper API/library (latest version)\n2. Implement audio preprocessing pipeline:\n   - Convert input to 16kHz mono WAV as required\n   - Apply noise reduction if needed\n   - Split audio into manageable chunks if necessary\n3. Create a transcription service class following protocol-based design\n4. Implement error handling and retry logic\n5. Add logging for debugging and performance tracking\n6. Ensure memory usage stays under 2GB per worker limit\n7. Implement basic caching of results\n8. Add configuration options for model selection (small, medium, large)\n9. Create utility functions for handling different audio formats\n10. Implement LZ4 compression for storage as specified",
        "testStrategy": "1. Test with real audio files (no mocks as specified)\n2. Measure accuracy against known transcripts\n3. Benchmark processing time for 5-minute audio files\n4. Test memory usage under various conditions\n5. Verify handling of different audio formats\n6. Test error recovery scenarios\n7. Validate compression/decompression functionality",
        "priority": "high",
        "dependencies": [
          1
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 3,
        "title": "Develop Batch Processing System",
        "description": "Create a robust batch processing system that can handle multiple transcription jobs with proper queuing and worker management.",
        "details": "1. Implement job queue using PostgreSQL\n2. Create worker pool with configurable size (max 8 parallel workers as specified)\n3. Implement job status tracking (pending, processing, completed, failed)\n4. Add job priority system\n5. Create job scheduler with fair distribution\n6. Implement timeout and retry mechanisms\n7. Add progress tracking and reporting\n8. Create background task manager\n9. Implement resource monitoring to prevent memory overuse (2GB limit per worker)\n10. Add graceful shutdown handling\n11. Implement job resumption after failures\n12. Create job history and cleanup policies",
        "testStrategy": "1. Test concurrent job processing\n2. Verify worker limits are respected\n3. Test job priority handling\n4. Simulate failures and verify recovery\n5. Benchmark throughput with various worker configurations\n6. Test memory usage monitoring\n7. Verify graceful shutdown behavior\n8. Test with large batches of files",
        "priority": "high",
        "dependencies": [
          1,
          2
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 4,
        "title": "Build CLI Interface with Click",
        "description": "Develop a command-line interface using Click that provides access to all core functionality with response times under 1 second.",
        "details": "1. Set up Click framework for CLI\n2. Implement command structure:\n   - trax init: Initialize configuration\n   - trax transcribe <file>: Transcribe single file\n   - trax batch <directory>: Process multiple files\n   - trax status: Show job status\n   - trax export <job_id> --format=json/txt: Export results\n   - trax config: Manage configuration\n3. Add progress bars for long-running operations\n4. Implement colorized output\n5. Create help documentation\n6. Add command autocompletion\n7. Implement error handling with user-friendly messages\n8. Ensure CLI response time is <1 second as specified\n9. Add verbose mode for debugging\n10. Implement configuration inheritance from root project",
        "testStrategy": "1. Test all CLI commands with various inputs\n2. Measure command response times\n3. Test help system and documentation\n4. Verify error messages are user-friendly\n5. Test with invalid inputs\n6. Verify configuration inheritance works correctly\n7. Test CLI in different environments (Windows, Linux, macOS)",
        "priority": "medium",
        "dependencies": [
          2,
          3
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 5,
        "title": "Implement JSON/TXT Export Functionality",
        "description": "Create export functionality that allows transcription results to be exported in JSON and TXT formats with proper formatting and metadata.",
        "details": "1. Design JSON export schema with:\n   - Transcription text\n   - Confidence scores\n   - Timestamps\n   - Speaker information (when available)\n   - Metadata (file info, processing details)\n2. Implement TXT export with configurable formatting options\n3. Add support for partial exports (selected sections)\n4. Create export service following protocol-based design\n5. Implement streaming export for large files\n6. Add export progress tracking\n7. Create export templates for different use cases\n8. Implement LZ4 decompression for stored data\n9. Add validation of exported data\n10. Create utility functions for format conversion",
        "testStrategy": "1. Test export of various transcription results\n2. Validate JSON schema compliance\n3. Test TXT formatting options\n4. Verify large file handling\n5. Test with different character encodings\n6. Validate metadata accuracy\n7. Benchmark export performance with large datasets",
        "priority": "medium",
        "dependencies": [
          1,
          2
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 6,
        "title": "Develop Multi-pass Transcription with AI Enhancement",
        "description": "Implement iterative AI enhancement of transcriptions to achieve the 99%+ accuracy target for v2.",
        "details": "1. Design multi-pass architecture:\n   - Initial Whisper transcription\n   - Error detection pass\n   - Context-aware correction pass\n   - Formatting and punctuation pass\n2. Implement AI enhancement service\n3. Create confidence scoring system\n4. Add specialized handling for technical terms\n5. Implement context-aware corrections\n6. Create version tracking for progressive enhancements\n7. Add configurable enhancement levels\n8. Implement caching strategy for intermediate results\n9. Create progress tracking for multi-pass processing\n10. Optimize for performance to meet <35s processing time for 5min audio",
        "testStrategy": "1. Compare accuracy before and after enhancement\n2. Benchmark processing time for each pass\n3. Test with challenging audio samples\n4. Verify improvement in technical term accuracy\n5. Test version tracking and rollback capability\n6. Validate caching effectiveness\n7. Measure overall accuracy improvement",
        "priority": "high",
        "dependencies": [
          2,
          3
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 7,
        "title": "Implement Speaker Diarization",
        "description": "Add speaker diarization capabilities to identify and label different speakers in transcriptions with 90% accuracy.",
        "details": "1. Research and select appropriate speaker diarization model\n2. Implement speaker segmentation algorithm\n3. Create speaker identification service\n4. Add speaker labeling in transcription output\n5. Implement confidence scores for speaker identification\n6. Create visualization of speaker changes\n7. Add support for speaker profile training\n8. Implement speaker statistics (talk time, interruptions)\n9. Create manual correction interface for speaker labels\n10. Optimize for performance within memory constraints\n11. Add speaker count estimation",
        "testStrategy": "1. Test with multi-speaker audio samples\n2. Measure speaker identification accuracy\n3. Test with varying numbers of speakers\n4. Verify handling of overlapping speech\n5. Test with different accents and voice types\n6. Validate confidence scoring accuracy\n7. Benchmark performance impact of diarization",
        "priority": "medium",
        "dependencies": [
          2,
          6
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 8,
        "title": "Develop FastAPI Web Interface",
        "description": "Create a web interface using FastAPI that provides access to all Trax functionality with proper authentication and API documentation.",
        "details": "1. Set up FastAPI framework\n2. Implement RESTful API endpoints:\n   - /api/v1/jobs: Manage transcription jobs\n   - /api/v1/media: Upload and manage media files\n   - /api/v1/transcriptions: Access transcription results\n   - /api/v1/config: Manage configuration\n3. Add Swagger/OpenAPI documentation\n4. Implement authentication using inherited API tokens\n5. Create rate limiting based on PRD constraints\n6. Add request validation\n7. Implement error handling and status codes\n8. Create background task handling\n9. Add file upload with progress tracking\n10. Implement WebSocket for real-time updates\n11. Create simple web UI for basic interactions",
        "testStrategy": "1. Test all API endpoints\n2. Verify authentication works correctly\n3. Test rate limiting behavior\n4. Validate error responses\n5. Test concurrent API requests\n6. Verify documentation accuracy\n7. Test file upload with various file sizes\n8. Validate WebSocket functionality",
        "priority": "medium",
        "dependencies": [
          3,
          5,
          6
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 9,
        "title": "Implement Caching and Performance Optimization",
        "description": "Develop a multi-layer caching strategy and performance optimizations to meet the processing time targets.",
        "details": "1. Design multi-layer caching architecture:\n   - Memory cache for frequent requests\n   - Disk cache for intermediate results\n   - Database cache for persistent data\n2. Implement LRU caching policy\n3. Add cache invalidation strategies\n4. Create cache monitoring and statistics\n5. Implement performance profiling\n6. Optimize database queries\n7. Add parallel processing where beneficial\n8. Implement resource usage monitoring\n9. Create performance benchmarking tools\n10. Optimize audio preprocessing pipeline\n11. Implement adaptive resource allocation",
        "testStrategy": "1. Benchmark with and without caching\n2. Test cache hit/miss rates\n3. Verify cache invalidation works correctly\n4. Measure memory usage of cache\n5. Test performance under various loads\n6. Validate query optimization effectiveness\n7. Benchmark end-to-end processing time",
        "priority": "high",
        "dependencies": [
          1,
          2,
          3,
          6
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      },
      {
        "id": 10,
        "title": "Setup Monitoring, Logging and Deployment",
        "description": "Implement comprehensive monitoring, logging, and deployment automation for production readiness.",
        "details": "1. Set up structured logging system\n2. Implement performance metrics collection\n3. Create health check endpoints\n4. Add error alerting mechanism\n5. Implement resource usage monitoring\n6. Create deployment scripts\n7. Set up CI/CD pipeline integration\n8. Implement database backup and recovery\n9. Add configuration validation\n10. Create documentation for deployment\n11. Implement graceful scaling\n12. Add security hardening\n13. Create disaster recovery procedures",
        "testStrategy": "1. Verify logs capture appropriate information\n2. Test alerting with simulated errors\n3. Validate deployment in test environment\n4. Test scaling under load\n5. Verify backup and recovery procedures\n6. Test health check functionality\n7. Validate security measures\n8. Test monitoring dashboard accuracy",
        "priority": "medium",
        "dependencies": [
          1,
          3,
          8,
          9
        ],
        "status": "pending",
        "subtasks": [],
        "created_at": "2025-08-30T10:12:53.075193+00:00",
        "updated_at": "2025-08-30T10:12:53.075193+00:00"
      }
    ],
    "metadata": {
      "created": "2025-08-30T09:08:50.335Z",
      "updated": "2025-08-30T10:12:58.877Z",
      "description": "Tasks for master context"
    }
  }
}