Enhance Ingestor Class with Asynchronous Metrics and Monitoring Integration
- Refactored Ingestor class to inherit from SientiaMonitoring for improved observability.
- Updated methods to utilize asynchronous operations for declaring active ingestors and managing slots.
- Integrated pod_id label into various metrics for better tracking.
- Adjusted unit tests to reflect changes in the Ingestor initialization and asynchronous behavior.
Refactor Ingestor and Metrics Classes for Enhanced Asynchronous Operations
- Updated IngestorManager, OpcManager, and ResourceManager to utilize asynchronous methods for improved performance.
- Integrated MetricsController into various classes for better observability and monitoring.
- Adjusted unit tests to accommodate the new asynchronous behavior, ensuring proper mocking of async methods.
- Removed deprecated Redis metrics and streamlined resource management logic.
- Updated the `sientia-dataops-library` dependency version from 1.4.3 to 1.4.6 in `requirements.txt`.
- Modified the GitHub Actions workflow to install development and runtime dependencies separately, improving clarity and organization.
- Added code formatting and linting checks using Ruff, along with type checking using mypy, to ensure code quality.
- Updated `.gitignore` to include additional cache directories and log files.
- Refactored code in various files for consistency in string formatting and improved logging messages.
Refactor unit tests to improve readability and maintainability
- Updated test assertions and mock setups in test_app.py for clarity.
- Added 'pod_id' to the metadata in test_ingestor.py for consistency.
- Introduced a new test for TAG_WRITTEN_COUNT in test_metrics.py to verify its definition.
- Enhanced test data structure in test_data_manager.py to include additional fields.
