Implement Service Configuration Manager for data collection service

- 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.

tests/data/collector/test_collector_manager.py

@@ -8,7 +8,8 @@ from datetime import datetime, timezone
 from unittest.mock import AsyncMock, MagicMock
 
 from utils.logger import get_logger
-from data.collector_manager import CollectorManager, ManagerStatus, CollectorConfig
+from data.collector_manager import CollectorManager
+from data.collector_types import ManagerStatus, CollectorConfig
 from data.base_collector import BaseDataCollector, DataType, CollectorStatus
 
 

tests/test_data_collection_aggregation.py

@@ -24,7 +24,8 @@ from collections import defaultdict
 
 # Import modules under test
 from data.base_collector import BaseDataCollector, DataType, MarketDataPoint, CollectorStatus
-from data.collector_manager import CollectorManager, CollectorConfig
+from data.collector_manager import CollectorManager
+from data.collector_types import CollectorConfig
 from data.collection_service import DataCollectionService
 from data.exchanges.okx.collector import OKXCollector
 from data.exchanges.okx.data_processor import OKXDataProcessor, OKXDataValidator, OKXDataTransformer