3 Commits

Author SHA1 Message Date
Ajasra
68030730e9 Implement comprehensive transformation module with safety limits and validations
- 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.
2025-06-07 13:23:59 +08:00
Vasily.onl
e7ede7f329 Refactor aggregation module and enhance structure
- 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.
2025-06-07 01:17:22 +08:00
Vasily.onl
aaebd9a308 2.9 Implement unit tests for data collection and aggregation logic
- Marked task 2.9 as complete in the project documentation by adding comprehensive unit tests for data collection and aggregation functionality.
- Created `test_data_collection_aggregation.py` to cover OKX data collection, real-time candle aggregation, data validation, and transformation.
- Included tests for error handling, edge cases, and performance to ensure robustness and reliability of the data processing components.
- Enhanced documentation within the test module to provide clarity on the testing approach and coverage.
2025-06-02 14:44:50 +08:00