- Introduced `example_complete_series_aggregation.py` to demonstrate time series aggregation, emitting candles even when no trades occur.
- Implemented `CompleteSeriesProcessor` extending `RealTimeCandleProcessor` to handle time-based candle emission and empty candle creation.
- Refactored `OKXCollector` to utilize the new repository pattern for database operations, enhancing modularity and maintainability.
- Updated database operations to centralize data handling through `DatabaseOperations`, improving error handling and logging.
- Enhanced documentation to include details on the new aggregation example and repository pattern implementation, ensuring clarity for users.
- Added logger parameter to the OKXCollector to enable detailed ping/pong logging.
- Updated message processing methods to maintain heartbeat and track data reception timestamps.
- Adjusted ProductionManager to disable auto-restart and enable full logging for debugging WebSocket issues.
- Enhanced overall logging capabilities to facilitate better monitoring and troubleshooting of data collection processes.
- Added optional logger parameter to various classes including `BaseDataCollector`, `CollectorManager`, `RealTimeCandleProcessor`, and `BatchCandleProcessor` to support conditional logging.
- Implemented error-only logging mode, allowing components to log only error and critical messages when specified.
- Updated logging calls to utilize new helper methods for improved readability and maintainability.
- Enhanced documentation to include details on the new logging system and its usage across components.
- Ensured that child components inherit the logger from their parent components for consistent logging behavior.
- Introduced `monitor_clean.py` for monitoring database status with detailed logging and status updates.
- Added `production_clean.py` for running OKX data collection with minimal console output and comprehensive logging.
- Implemented command-line argument parsing for both scripts to customize monitoring intervals and collection durations.
- Enhanced logging capabilities to provide clear insights into data collection and monitoring processes.
- Updated documentation to include usage examples and descriptions for the new scripts, ensuring clarity for users.
