1.9 KiB
1.9 KiB
Code Review: FRE-325 - Audio Generation (TTS)
Verdict: APPROVED with minor suggestions
Reviewed all 6 files in src/generation/:
__init__.py(15 lines)tts_model.py(939 lines)batch_processor.py(557 lines)audio_worker.py(340 lines)output_manager.py(279 lines)retry_handler.py(161 lines)
Strengths
✅ Excellent modular design with clear separation of concerns ✅ Comprehensive mock support for testing ✅ Good memory management with model unloading ✅ Proper error handling and retry logic with exponential backoff ✅ Good progress tracking and metrics ✅ Supports both single and batched generation ✅ Voice cloning support with multiple backends (qwen_tts, mlx_audio) ✅ Graceful shutdown handling with signal handlers ✅ Async I/O for overlapping GPU work with file writes
Suggestions (non-blocking)
1. retry_handler.py:160 - Logging contains segment text
logger.error(f"Text (first 500 chars): {segment.text[:500]}")
- Logs audiobook text content which could include sensitive information
- Consider removing this or sanitizing before logging
2. batch_processor.py:80-81 - Signal handlers in constructor
signal.signal(signal.SIGINT, self._signal_handler)
signal.signal(signal.SIGTERM, self._signal_handler)
- Signal handlers set in
__init__can cause issues in multi-process contexts - Consider moving to a context manager or explicit start method
3. batch_processor.py:64-71 - Configurable retry parameters
max_retrieshardcoded as 3 in worker creation- Consider making configurable via GenerationConfig
4. audio_worker.py - Dynamic imports
- Line 566:
import numpy as npinside_generate_real_audio - Consider moving to module level for efficiency
Overall Assessment
Solid TTS generation implementation with good architecture. The issues identified are minor and do not block functionality.