Update ingestor and data manager for improved shutdown handling and logging
- Incremented project version in quality gate configuration.
- Commented out ingestor service in docker-compose for clarity.
- Enhanced main loop in app.py to handle exit signals and exceptions.
- Added shutdown methods in Ingestor and DataManager classes for graceful resource cleanup.
- Updated unit tests to validate shutdown behavior and exception handling.
- Introduced coverage configuration to omit specific files.
- Changed logging statements in Ingestor and OpcManager from info to debug level to reduce log verbosity and improve performance.
- This adjustment aids in better log management while maintaining necessary traceability for debugging purposes.
- Added logging statements to OpcManager to track data change notifications and cycle count resets for monitored tags.
- Improved traceability of events related to OPC cycles, aiding in debugging and monitoring.
Enhance ingestor and manager classes with notification handling
- Integrated NotificationHandler into Ingestor, DataManager, IngestorManager, and OpcManager for improved error reporting and monitoring.
- Updated methods to send notifications on critical events such as Kafka publishing errors, OPC connection issues, and cycle count warnings.
- Refactored related tests to ensure coverage of new notification functionalities and validate integration with existing components.
- Improved logging and error handling across the system to enhance traceability and operational insights.
Refactor OpcManager initialization and unsubscribe method; enhance logging
- Removed the `initialize_from_config` method from `OpcManager` class and adjusted the constructor to handle configuration directly.
- Improved the `unsubscribe` method to include detailed logging for non-existent subscriptions.
- Updated tests in `test_opc_manager.py` to reflect changes in the `OpcManager` class.
- Commented out Docker-related fixtures in `conftest.py` for potential future use.
- Enhanced test coverage in `test_single_node.py` and `test_data_manager.py` with additional scenarios and assertions.
- Introduced new methods in `Ingestor` and `IngestorManager` classes to manage server subscriptions and leases more effectively.
- Added new tests for `Ingestor` class to validate initialization and slot management logic.
- Implemented logging improvements across various classes to ensure better traceability of actions and errors.
Add temporary functiontal tests, that must be removed soon.
Refactor tests: Remove outdated resource manager tests and add functional tests with Docker and Kafka integration
- Deleted existing unit tests for ResourceManager.
- Introduced new functional tests for single node operations with Redis and Kafka.
- Added Docker Compose setup for test environment.
- Implemented fixtures for Redis and Kafka consumers.
- Created comprehensive tests for data publishing and slot management.
- Added unit tests for DataManager and IngestorManager with mocked dependencies.
- Included tests for OpcManager covering connection, subscription, and data change notifications.
Enhance README and Docker setup; improve IngestorManager and DataManager functionality, add error handling, and implement unit tests for OPC initialization and subscription management.
Implement initial structure for data ingestion with Kafka and OPC UA integration
- Added DataManager for Kafka message handling
- Introduced IngestorManager to manage data ingestion processes
- Created OpcManager for OPC UA client interactions
- Developed ResourceManager for Redis-based resource management
- Established testing framework with unit tests for DataManager and OpcManager
- Configured project settings for Python testing with pytest
