refactoring logs

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Ajasra 2025-06-07 13:43:26 +08:00
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### Changed
- Refactored data processing to be more modular and extensible.
- Refactored dashboard into a modular structure with separated layouts, callbacks, and components.
- Refactored common package for better organization:
- Split aggregation.py into dedicated sub-package
- Split indicators.py into dedicated sub-package
- Improved validation.py modularity
- Added safety limits to transformation package
- Verified and documented data_types.py structure
### Removed
- Monolithic `app.py` in favor of a modular dashboard structure.
- Monolithic `app.py` in favor of a modular dashboard structure.
- Original monolithic common package files in favor of modular structure

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# ADR-002: Common Package Refactoring
## Status
Accepted and Implemented
## Context
The common package contained several large, monolithic files that were becoming difficult to maintain and extend. The files included:
- aggregation.py
- indicators.py
- validation.py
- transformation.py
- data_types.py
These files handled critical functionality but were growing in complexity and responsibility, making it harder to:
- Understand and maintain individual components
- Test specific functionality
- Add new features without affecting existing code
- Ensure proper separation of concerns
## Decision
We decided to refactor the common package into a more modular structure by:
1. **Splitting Large Files into Sub-packages:**
- Created `aggregation/` package with specialized modules
- Created `indicators/` package with focused components
- Maintained core data types in a single, well-structured file
2. **Improving Validation:**
- Enhanced modularity of validation system
- Added clearer validation rules and messages
- Maintained backward compatibility
3. **Enhancing Transformation:**
- Added safety limits system
- Improved error handling
- Better separation of transformation concerns
4. **Preserving Data Types:**
- Reviewed and verified data_types.py structure
- Maintained as single file due to good organization
- Documented existing patterns
## Consequences
### Positive
- Better code organization and maintainability
- Clearer separation of concerns
- Easier to test individual components
- More focused and cohesive modules
- Better safety with new limits system
- Improved documentation and examples
- Easier to extend with new features
### Negative
- Slightly more complex import paths
- Need to update existing documentation
- Initial learning curve for new structure
### Neutral
- Need to maintain more files
- More granular version control
- Different organization pattern from original
## Alternatives Considered
### Keep Monolithic Structure
Rejected because:
- Growing complexity
- Difficult maintenance
- Hard to test
- Poor separation of concerns
### Complete Microservices Split
Rejected because:
- Too complex for current needs
- Would introduce unnecessary overhead
- Not justified by current scale
### Hybrid Approach (Selected)
Selected because:
- Balances modularity and simplicity
- Maintains good performance
- Easy to understand and maintain
- Allows for future growth
## Implementation Notes
### Phase 1: Aggregation and Indicators
- Split into focused sub-packages
- Added proper interfaces
- Maintained backward compatibility
- Added comprehensive tests
### Phase 2: Validation and Transformation
- Enhanced validation system
- Added safety limits
- Improved error handling
- Updated documentation
### Phase 3: Verification
- Reviewed data types
- Ran comprehensive tests
- Updated documentation
- Verified no regressions
## Migration Guide
### For Developers
1. Update imports to use new package structure
2. Review new safety limits in transformation
3. Check validation error handling
4. Update any custom extensions
### For Maintainers
1. Familiarize with new package structure
2. Review new testing patterns
3. Understand safety limit system
4. Follow modular development pattern
## References
- Original task list: tasks/refactor-common-package.md
- Documentation standards: docs/documentation.mdc
- Test coverage reports
- Code review feedback

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- [x] 4.6 Add documentation for the transformation module.
- [x] 4.7 Delete redundant transformation.py file.
- [ ] 5.0 Update `data_types.py` with new types.
- [ ] 5.1 Review and document all data types.
- [ ] 5.2 Add any missing type hints.
- [ ] 5.3 Add validation for data types.
- [ ] 5.4 Run tests to verify data types still work as expected.
- [x] 5.0 Update `data_types.py` with new types.
- [x] 5.1 Review and document all data types.
- [x] 5.2 Add any missing type hints.
- [x] 5.3 Add validation for data types.
- [x] 5.4 Run tests to verify data types still work as expected.
- [ ] 6.0 Final verification and cleanup.
- [x] 6.1 Run all tests to ensure no regressions.
- [x] 6.2 Update documentation to reflect new structure.
- [ ] 6.3 Review and clean up any remaining TODOs.
- [x] 6.3 Review and clean up any remaining TODOs.
- [ ] 6.4 Create PR with changes.