- Updated `pyproject.toml` to include the new `data` package in the build configuration, ensuring all components are properly included.
- Introduced `ADR-004` documentation outlining the rationale for refactoring the data collection system into a modular architecture, addressing complexity and maintainability issues.
- Enhanced `data_collectors.md` to reflect the new component structure, detailing responsibilities of `CollectorLifecycleManager`, `ManagerHealthMonitor`, `ManagerStatsTracker`, and `ManagerLogger`.
- Refactored `DataCollectionService` to utilize the new modular components, improving orchestration and error handling.
- Removed the obsolete `collector-service-tasks-optimization.md` and `refactor-common-package.md` files, streamlining the tasks documentation.
These changes significantly improve the architecture and maintainability of the data collection service, aligning with project standards for modularity, performance, and documentation clarity.
- 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.
