Implements comprehensive, production-ready logging infrastructure to replace
ad-hoc print() statements across the codebase. This establishes a consistent
logging standard for MVP stability.
## What Changed
**New Files:**
- optimization_engine/logger.py (330 lines)
- AtomizerLogger class with trial-specific methods
- Color-coded console output (Windows 10+ and Unix)
- Automatic file logging with rotation (50MB, 3 backups)
- Zero external dependencies (stdlib only)
- docs/07_DEVELOPMENT/Phase_1_3_Implementation_Plan.md
- Complete Phase 1.3 implementation plan
- API documentation and usage examples
- Migration strategy for existing studies
## Features
1. **Structured Trial Logging:**
- logger.trial_start() - Log trial with design variables
- logger.trial_complete() - Log results with objectives/constraints
- logger.trial_failed() - Log failures with error details
- logger.study_start() - Log study initialization
- logger.study_complete() - Log final summary
2. **Production Features:**
- ANSI color-coded console output (DEBUG=cyan, INFO=green, etc.)
- Automatic file logging to {study_dir}/optimization.log
- Log rotation: 50MB max, 3 backup files
- Timestamps and structured format for dashboard parsing
3. **Simple API:**
```python
from optimization_engine.logger import get_logger
logger = get_logger(__name__, study_dir=Path("studies/foo/2_results"))
logger.study_start("foo", n_trials=30, sampler="NSGAIISampler")
logger.trial_start(1, design_vars)
logger.trial_complete(1, objectives, constraints, feasible=True)
```
## Testing
- Verified color output on Windows 10
- Tested file logging and rotation
- Confirmed trial-specific methods format correctly
- UTF-8 encoding handles special characters
## Next Steps (Phase 1.3.1)
- Integrate logging into drone_gimbal_arm_optimization (reference implementation)
- Create migration guide for existing studies
- Update create-study skill to include logger setup
## Technical Details
Current state analyzed:
- 1416 occurrences of logging/print across 79 files
- 411 occurrences of try:/except/raise across 59 files
- Mix of print(), traceback, and inconsistent formatting
This logging system provides the foundation for:
- Dashboard integration (structured trial logs)
- Error recovery (checkpoint system in Phase 1.3.2)
- Production debugging (file logs with rotation)
Related: Phase 1.2 (Configuration Validation)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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