- Implemented `_sanitize_error` method in `DataCollectionService` and `CollectorManager` to prevent leaking internal error details.
- Improved error handling across various methods by catching specific exceptions and logging sanitized messages with `exc_info=True`.
- Added file permission validation in `ServiceConfig` to ensure secure configuration file handling, including detailed logging for permission issues.
- Refactored logging practices to enhance clarity and maintainability, ensuring consistent error reporting.
These changes significantly bolster the security and robustness of the data collection services, aligning with project standards for error handling and maintainability.
- 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.
