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