- Introduced `service_config.py` to manage configuration loading, validation, and schema management, enhancing modularity and security.
- Created a `ServiceConfig` class for handling configuration with robust error handling and default values.
- Refactored `DataCollectionService` to utilize the new `ServiceConfig`, streamlining configuration management and improving readability.
- Added a `CollectorFactory` to encapsulate collector creation logic, promoting separation of concerns.
- Updated `CollectorManager` and related components to align with the new architecture, ensuring better maintainability.
- Enhanced logging practices across the service for improved monitoring and debugging.
These changes significantly improve the architecture and maintainability of the data collection service, aligning with project standards for modularity and performance.
- Extracted `OHLCVData` and validation logic into a new `common/ohlcv_data.py` module, promoting better organization and reusability.
- Updated `BaseDataCollector` to utilize the new `validate_ohlcv_data` function for improved data validation, enhancing code clarity and maintainability.
- Refactored imports in `data/__init__.py` to reflect the new structure, ensuring consistent access to common data types and exceptions.
- Removed redundant data validation logic from `BaseDataCollector`, streamlining its responsibilities.
- Added unit tests for `OHLCVData` and validation functions to ensure correctness and reliability.
These changes improve the architecture of the data module, aligning with project standards for maintainability and performance.
