Refactor tests for async compatibility and enhance IngestorManager functionality
- Updated test cases in `test_app.py`, `test_ingestor.py`, and `test_ingestor_manager.py` to use async/await syntax for improved concurrency.
- Refactored methods in IngestorManager and related classes to support asynchronous operations, ensuring non-blocking behavior during execution.
- Enhanced mock setups in tests to accommodate async methods, improving test reliability and performance.
Update values.yaml and refactor shutdown methods for improved configuration and async handling
- Changed replica count from 2 to 1 in values.yaml for deployment optimization.
- Updated image tag from 0.4.3 to 0.4.5 in values.yaml for version consistency.
- Refactored shutdown method in IngestorManager to use await server.shutdown() for better async operation.
- Removed __del__ method in OpcManager to prevent blocking during cleanup.
Refactor Ingestor and OPC Manager for Asynchronous Operations
- Updated main function to be asynchronous and integrated asyncio for better concurrency.
- Refactored Ingestor methods to support async operations, including prepare_ingestor, loop, and shutdown.
- Enhanced IngestorManager and OpcManager with async methods for improved performance and responsiveness.
- Replaced blocking calls with await statements to ensure non-blocking behavior during operations.
- Added a new run_async_main function to handle the async event loop setup.
Refactor logging levels in Ingestor and IngestorManager for improved clarity
- Changed debug log statements to info level in Ingestor class for better visibility of subscription and management actions.
- Updated log level for initializing OPC manager in IngestorManager to info for consistent logging practices.
- Updated sientia-dataops-library version to 1.4.1 in requirements.txt.
- Changed image tag from 0.3.2 to 0.4.2 in values.yaml.
- Refactored logger imports from sientia_do.temporal.utils.logger to sientia_do.observability.logger in multiple manager files for improved observability.
Update requirements and refactor manager classes to remove pod_id
- Updated the sientia-dataops-library dependency version to 1.3.8 in requirements.txt.
- Refactored IngestorManager, OpcManager, and ResourceManager classes to remove pod_id from their initialization and internal handling, enhancing code clarity and consistency.
- Adjusted unit tests to reflect the removal of pod_id, ensuring they remain functional and accurate.
Update BaseActivity initialization in manager classes to enable error counter metric
- Modified the initialization of DataManager, IngestorManager, OpcManager, and ResourceManager to include 'set_error_counter=True' for enhanced error tracking.
Update BaseActivity initialization in manager classes to disable error counter metric
- Modified the initialization of DataManager, IngestorManager, OpcManager, and ResourceManager to include 'set_error_counter_metric=False' for improved error handling.
Refactor Ingestor and Manager classes to use CoreNotificationHandler and improve metadata handling
- Updated Ingestor class to initialize logger using get_logger and replaced notification handler initialization with metadata dictionary.
- Refactored DataManager, IngestorManager, OpcManager, and ResourceManager classes to inherit from BaseActivity, allowing for consistent logger and notification handler usage.
- Enhanced notification handling by integrating metadata into notification methods across various managers.
- Added .vscode/ to .gitignore to exclude VSCode configuration files.
- Updated DataManager to simplify MongoDB connection logic by removing retry loop and adding logging for connection attempts.
- Enhanced IngestorManager to accept MongoDB connection parameters and export_to_kafka flag as part of its initialization.
- Updated requirements.txt to use the latest version of the sientia-dataops-library.
- Introduced EXPORT_TO_KAFKA environment variable in Ingestor class.
- Refactored DataManager to conditionally initialize Kafka producer based on export setting.
- Updated IngestorManager to pass Redis configuration as a dictionary.
- Enhanced error handling and logging for Kafka message publishing.
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.
Enhance IngestorManager and related tests with notification handling integration
- Added notification_handler parameter to IngestorManager and OpcManager initialization for improved event handling.
- Updated unit tests to include notification_handler in the Ingestor and IngestorManager instantiation, ensuring proper coverage of new functionality.
- Refactored test cases to validate the integration of notification handling across components.
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 ingestor lease management and update Docker configurations
- Updated CMD in Dockerfile to use the correct application entry point.
- Added docker compose command to remove volumes in README.
- Removed unnecessary restart policy from ingestor service in docker-compose.yaml.
- Refactored manage_leases method in Ingestor class to improve clarity and parameter naming.
- Added get_number_of_leases method in IngestorManager to retrieve active leases.
- Implemented get_all_leases method in ResourceManager to fetch active leases from Redis.
- Enhanced unit tests for lease management in test_ingestor_manager and test_resource_manager.
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
