- Deleted `app_new.py`, which was previously the main entry point for the dashboard application, to streamline the codebase.
- Consolidated the application initialization and callback registration logic into `main.py`, enhancing modularity and maintainability.
- Updated the logging and error handling practices in `main.py` to ensure consistent application behavior and improved debugging capabilities.
These changes simplify the application structure, aligning with project standards for modularity and maintainability.
- Introduced a new transformation module that includes safety limits for trade operations, enhancing data integrity and preventing errors.
- Refactored existing transformation logic into dedicated classes and functions, improving modularity and maintainability.
- Added detailed validation for trade sizes, prices, and symbol formats, ensuring compliance with trading rules.
- Implemented logging for significant operations and validation checks, aiding in monitoring and debugging.
- Created a changelog to document the new features and changes, providing clarity for future development.
- Developed extensive unit tests to cover the new functionality, ensuring reliability and preventing regressions.
These changes significantly enhance the architecture of the transformation module, making it more robust and easier to manage.
- Split the `aggregation.py` file into a dedicated sub-package, improving modularity and maintainability.
- Moved `TimeframeBucket`, `RealTimeCandleProcessor`, and `BatchCandleProcessor` classes into their respective files within the new `aggregation` sub-package.
- Introduced utility functions for trade aggregation and validation, enhancing code organization.
- Updated import paths throughout the codebase to reflect the new structure, ensuring compatibility.
- Added safety net tests for the aggregation package to verify core functionality and prevent regressions during refactoring.
These changes enhance the overall architecture of the aggregation module, making it more scalable and easier to manage.
