Atomizer

Files

Anto01 3bff7cf6b3 feat: Add structured logging system for production-ready error handling (Phase 1.3)

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>

2025-11-24 09:27:27 -05:00

custom_functions

feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis

2025-11-16 13:35:41 -05:00

future

refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

2025-11-24 09:12:36 -05:00

plugins

feat: Add substudy system with live history tracking and workflow fixes

2025-11-16 21:29:54 -05:00

result_extractors

fix: Remove redundant save() call that overwrote NX expression updates