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v0.9.3 — Modular Refactoring
[0.9.3] modular refactoring
Added
- Modular Code Architecture: Complete refactoring into separate, focused modules
batch_processor.py: Batch operations and model management functionality
benchmark_runner.py: Core benchmarking logic and model execution
benchmark_utils.py: Logging, file I/O, and general utility functions
leaderboard_exports.py: Leaderboard export and display functionality
manual_ingestion.py: Manual output ingestion and processing
- Enhanced Logging System: Comprehensive timestamped logging functionality
- Automatic log file creation in
logs/YYYYMMDD-HHMM.txt format (e.g., logs/20251210-0413.txt)
- Complete capture of all benchmark output including
[SKIP], [RUN-ALL], [TESTING], [DONE], [ERROR], [LIMITED] messages
- Dual output system: messages logged to file AND displayed in console (preserving existing behavior)
- Automatic logging initialization when script starts
- Full leaderboard logging for historical reference
- Enhanced audit trail for model run results with timestamps
- Advanced Model Management: Enhanced model organization and tracking
move_model_to_skip(): Automatic movement of failed models to skip list
move_model_to_limited(): Automatic movement of rate-limited models to limited list
- Rate limit detection with automatic categorization vs other failures
- Enhanced error handling with
[LIMITED] status for rate-limited models
- Comprehensive Leaderboard System: Separated concerns with dedicated export module
- Export functionality moved to
leaderboard_exports.py
- Enhanced markdown export with medal emojis (🥇🥈🥉) for top 3 performers
- CLI table formatting for terminal display
- Multiple run support with historical tracking
- Automatic LEADERBOARD.md file updates
Changed
- Code Organization: Complete modular refactoring for better maintainability
- Separated concerns across multiple specialized modules
- Enhanced import structure with proper module dependencies
- Improved code readability and organization
- Model File Management: Reorganized model tracking system
models.txt removed (replaced with models_todo.txt and models_skip.txt)
- Enhanced model state management with separate files for different statuses
- Better separation between active, skipped, and rate-limited models
- Error Handling Strategy: Improved error categorization and handling
- Rate-limited models automatically moved to
models_limited.txt
- Failed models automatically moved to
models_skip.txt
- Enhanced feedback with specific error categories
- Better progress tracking with accurate error counting
Improved
- Maintainability: Modular architecture with clear separation of concerns
- Debugging & Monitoring: Complete audit trail of benchmark runs for troubleshooting
- Performance: Better code organization and optimized imports
- User Experience: Enhanced feedback with detailed logging and error categorization
- Scalability: Modular design supports easier feature additions and maintenance