- Removed the `RawDataManager` class and integrated its functionality directly into the `RawTradeRepository`, streamlining the management of raw trade data.
- Implemented the `cleanup_old_raw_data` method to delete outdated records, preventing table bloat and improving performance.
- Added the `get_raw_data_stats` method to retrieve statistics about raw data storage, enhancing data management capabilities.
- Updated documentation to reflect the new methods and their usage, ensuring clarity for future developers.
These changes improve the maintainability and efficiency of the database operations related to raw trade data.
- Updated the `MarketDataRepository` and `RawTradeRepository` classes to exclusively utilize SQLAlchemy ORM for all database interactions, enhancing maintainability and type safety.
- Removed raw SQL queries in favor of ORM methods, ensuring a consistent and database-agnostic approach across the repository layer.
- Revised documentation to reflect these changes, emphasizing the importance of using the ORM for database operations.
These modifications improve the overall architecture of the database layer, making it more scalable and easier to manage.
- Introduced a modular repository structure by creating separate repository classes for `Bot`, `MarketData`, and `RawTrade`, improving code organization and maintainability.
- Updated the `DatabaseOperations` class to utilize the new repository classes, enhancing the abstraction of database interactions.
- Refactored the `.env` file to update database connection parameters and add new logging and health monitoring configurations.
- Modified the `okx_config.json` to change default timeframes for trading pairs, aligning with updated requirements.
- Added comprehensive unit tests for the new repository classes, ensuring robust functionality and reliability.
These changes improve the overall architecture of the database layer, making it more scalable and easier to manage.
