refactor(modules): apply comprehensive coding standards to all modules#121
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ryanmccann1024 merged 21 commits intorelease/6.0.0from Sep 20, 2025
Merged
refactor(modules): apply comprehensive coding standards to all modules#121ryanmccann1024 merged 21 commits intorelease/6.0.0from
ryanmccann1024 merged 21 commits intorelease/6.0.0from
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Apply FUSION coding standards to spectrum_assignment.py following the established pattern of property name standardization and code quality improvements across the codebase. Key improvements: - Rename attributes for clarity: spec_help_obj → spectrum_helpers, snr_obj → snr_measurements, engine_props → engine_props_dict - Improve method names: _allocate_best_fit → _allocate_best_fit_spectrum, handle_first_last → handle_first_last_allocation, xt_aware → handle_crosstalk_aware_allocation, _get_spectrum → _determine_spectrum_allocation - Enhance variable naming: open_slots_arr → available_slots_array, core_num → core_number, src/dest → source_node/destination_node - Add proper type annotations and Sphinx-format docstrings - Move TODO for 7-core limitation to proper TODO.md file - Update corresponding unit tests to use new naming conventions - Maintain backward compatibility for public API methods This continues the codebase-wide effort to standardize naming conventions, improve code readability, and ensure consistent code quality across all core modules. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Correct mod_format_list to _mod_format_list parameter name in get_spectrum_dynamic_slicing method calls to match method signature. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Reorganize imports alphabetically and add missing type annotation for topology variable in factory.py. Module already followed most coding standards with excellent documentation and type hints. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive type annotations, improve variable naming with descriptive suffixes, reorganize imports, and enhance docstrings to follow Sphinx format consistently. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Enhance variable naming with descriptive suffixes, improve type annotations, reorganize imports alphabetically, and standardize docstrings to consistent Sphinx format. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Standardize parameter names in method definition to match calling convention and improve documentation consistency. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Reorganize ML module into functional areas (preprocessing, feature engineering, model I/O, evaluation, visualization) following single responsibility principle - Replace monolithic train_utils.py with focused, well-documented modules - Add comprehensive type annotations and Sphinx-style docstrings - Fix all pylint violations including import organization, logging format, variable naming, and exception handling - Create shared constants to eliminate code duplication - Update core modules to use new ML module structure - Maintain backward compatibility with existing API through __init__.py aliases - Add ML_STANDARDS.md and module README for maintainability 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Standardize variable naming: cong_list → congestion_list - Add comprehensive type annotations to all methods - Create custom exception hierarchy (AlgorithmNotFoundError, AgentError, etc.) - Replace generic exceptions with specific, actionable error messages - Split PathAgent.update() into focused helper methods for better maintainability - Update tests to expect new custom exceptions instead of generic ones - Maintain backward compatibility with algorithm parameter naming 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Create BaseDRLAlgorithm base class eliminating 120+ lines of code duplication across PPO, A2C, DQN, QrDQN - Add comprehensive type annotations to all methods and parameters - Replace generic exceptions with specific AlgorithmNotFoundError with actionable error messages - Extract persistence logic into dedicated BanditModelPersistence and QLearningModelPersistence classes - Standardize variable naming and improve documentation consistency - Update tests to use correct mock paths for base class inheritance structure - Clean up TODO comments and deprecated code patterns - Add pylint compliance for all files while maintaining test compatibility 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add comprehensive module docstrings and type annotations - Improve variable naming with descriptive names - Add backward compatibility aliases (VALID_DEEP_REINFORCEMENT_LEARNING_ALGORITHMS) - Separate algorithm registry concerns to avoid circular imports - Create constants.py with type-safe enums for new code - Add VALID_OBSERVATION_FEATURES set for validation - Document abbreviated keys (paths_cong, OBS_DICT) for clarity - Add README.md documenting module structure and usage - Fix pylint errors by converting classes to module-level constants 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add comprehensive module docstrings and Sphinx-style documentation - Expand abbreviated variable names for clarity (keeping parameter names for compatibility) - Add type annotations throughout all modules - Create base_feature_extractor.py to reduce code duplication - Extract common functionality (batch processing, edge/path embeddings) - Add error handling with descriptive ValueError exceptions - Define module constants with proper defaults - Update __init__.py with proper exports - Add README.md documenting module usage and architecture - Improve code organization and readability Note: Parameter names (obs_space, emb_dim, etc.) maintained for backward compatibility 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Remove unused variable 'batch_size' in path_gnn.py - Add abstract forward method to BaseGraphFeatureExtractor - Remove unused imports (Dict, Optional) from base_feature_extractor.py and path_gnn_cached.py - Import abstractmethod for proper abstract class implementation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Fix parameter name mismatch in PathGNN.forward method (observation_dict → observation) - Replace unnecessary pass statement with NotImplementedError in abstract method - Ensure consistent parameter naming across base and derived classes 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add comprehensive module docstring explaining environment purpose - Complete type annotations for all methods and parameters - Add missing docstrings to all private methods with Sphinx format - Create constants.py with configuration defaults and magic value replacements - Resolve TODO comments with explanatory documentation - Replace hardcoded values with named constants (DEFAULT_SIMULATION_KEY, etc.) - Update __init__.py with proper exports and module documentation - Improve method parameter formatting and documentation clarity Note: Variable naming changes (engine_obj, rl_props) deferred to broader RL module refactoring Maintains full Gymnasium compatibility and simulation functionality 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Remove unused imports (List, Tuple, Union) from typing - Fix unused kwargs argument by acknowledging it with underscore assignment - Remove pylint disable comment as issue is now properly addressed - Maintain Gymnasium interface compatibility with kwargs parameter 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Standardize variable names: dim -> dimension, qkv -> query_key_value, path_feats -> path_features, attn -> attention, out -> output - Add comprehensive type annotations to all functions and parameters - Convert all docstrings to Sphinx format with :param:, :type:, :return:, :raises: - Reorganize imports with proper comment sections and grouping - Add module constants: DEFAULT_ATTENTION_HEADS, QUERY_KEY_VALUE_MULTIPLIER - Implement input validation with descriptive error messages - Remove deprecated TODO comments and add module documentation - Improve class and method documentation with usage examples - Maintain 10.00/10 pylint score throughout refactoring 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add comprehensive module-level documentation for SB3 integration purpose - Complete type annotations with -> None return types for all functions - Convert all docstrings to Sphinx format with :param:, :type:, :raises:, examples - Reorganize imports with proper comment sections (stdlib -> third-party) - Add conservative error handling with specific exceptions for file operations - Enhance CLI argument descriptions with detailed help text and examples - Preserve all critical SB3 functionality: entry points, paths, registration logic - Add informative error messages with actionable guidance for troubleshooting - Maintain 10.00/10 pylint score with zero risk to StableBaselines3 integration 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Fix engine_props/engine_obj attribute reference mismatches - Correct curr_epsilon vs current_epsilon naming inconsistencies - Fix callback attribute naming (current_ent/current_lr vs current_entropy/current_learning_rate) - Update method parameter names to match function signatures - Ensure proper object attribute references in CoreUtilHelpers initialization 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Apply consistent formatting and linting standards across all RL submodules - Add error handling classes for plotting and utils modules - Improve code organization and documentation - Update test files to follow coding standards - Add TODO documentation for future improvements 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add comprehensive package docstring and __all__ exports to __init__.py - Break down complex functions in congestion_aware.py for better maintainability - Improve variable naming across all routing algorithm files for clarity - Resolve TODO comments with proper explanations and constants - Add descriptive constants to replace magic numbers in utils.py - Enhance function documentation with proper Sphinx format - Fix pylint errors including unused variables and unnecessary else clauses - Update test parameter names to match refactored method signatures All routing algorithms now fully comply with FUSION coding standards while maintaining backwards compatibility and existing functionality. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Applied comprehensive coding standards improvements to both modules: SNR Module: - Created comprehensive __init__.py with module exports and __all__ list - Enhanced method documentation with detailed Args/Returns/Raises sections - Added input validation and error handling in calculate_snr() and calculate_link_snr() - Improved type hints for better code clarity - Removed empty xt.py file Spectrum Module: - Created comprehensive __init__.py with full API exports - Enhanced documentation in utils.py and first_fit.py - Added input validation with descriptive error messages - Improved type hints throughout the module - Removed empty files: xt_aware.py and multi_band_priority.py Both modules now conform to project coding standards matching the recently refactored routing module patterns. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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arashr88
approved these changes
Sep 20, 2025
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Description:
This PR completes a major refactoring effort to bring all FUSION modules up to the newly established coding standards. This includes reorganizing the entire codebase structure, implementing a modular architecture, standardizing interfaces, and improving code quality across all components.
🔧 Type of Change
Primary Change Type:
Component(s) Affected:
fusion/cli/)fusion/configs/)fusion/core/)fusion/modules/rl/,fusion/modules/ml/)fusion/modules/routing/)fusion/modules/spectrum/)fusion/modules/snr/)fusion/visualization/)fusion/gui/)fusion/unity/)tests/).github/)🧪 Testing
Test Coverage:
Test Details:
All existing tests have been updated to work with the new modular structure. Tests now import from the new
fusionpackage structure and have been refactored to follow the same coding standards as the main codebase.Test Configuration Used:
Commands to Reproduce Testing:
Test Results:
📊 Impact Analysis
Performance Impact:
Memory Usage:
Backward Compatibility:
Dependencies:
🔄 Migration Guide
Breaking Changes (if any):
fusionpackagesrc.moduletofusion.core.moduleMigration Steps:
fusionpackage structurefusion.cli.run_sim, etc.)Before/After Examples:
✅ Code Quality Checklist
Architecture & Design:
Code Standards:
Configuration & CLI:
Security:
📚 Documentation
Documentation Updates:
Examples Added:
🚀 Deployment
Deployment Considerations:
Manual Steps Required:
🔍 Review Guidelines
For Reviewers:
Review Focus Areas:
fusionpackage structure and module organizationfusion/interfaces/fusion/configs/📝 Additional Notes
Key Refactoring Achievements:
fusionpackageNew Key Files Added:
CODING_STANDARDS.md- Comprehensive coding guidelinesfusion/interfaces/- Abstract interfaces for all major componentsfusion/configs/- New configuration management systemfusion/cli/parameters/- Modular CLI parameter definitionsMakefile- Development automationOpen Questions:
Future Work:
Related PRs:
🏁 Final Checklist
Before submitting this PR, confirm: