SIENTIAPDE-1646 Enhance OPC integration and E2E testing framework
- Updated .gitignore to exclude '.cursor/*' for better file management.
- Added new marker in pyproject.toml for E2E tests using OPC.
- Introduced async OPC server fixtures and improved connection handling in conftest.py.
- Enhanced error handling in OPC activities and added metrics for session management in metrics.py.
- Updated E2E tests to cover new OPC scenarios, including session errors and reconnect handling.
- Refactored helper functions to improve prediction assertion logic in helpers.py.
- Documented new OPC scenarios in scenarios.md for clarity on expected outcomes.
Refactor OPC and OpcRepository classes to remove logger dependency and streamline logging calls
- Removed logger attribute from OPC and OpcRepository classes, replacing direct logger calls with class methods for logging.
- Updated write_data method signatures to eliminate logger parameter, simplifying the interface.
- Adjusted related tests to reflect changes in method signatures and logging behavior.
Update README, requirements, and E2E tests for improved configuration and functionality
- Enhanced the README with updated model configuration examples, including the addition of an alias for production.
- Removed the `requirements-light.txt` file and updated `requirements-local.txt` and `requirements.txt` to replace `asyncua` with `opcua`.
- Refactored E2E test scenarios to utilize scenario input files for better maintainability and clarity.
- Improved test coverage for MinIO offload functionality and added new helper functions for loading scenario inputs.
- Updated `values.yaml` to reflect new global configurations and environment variables for the laborious worker.
Update logging in MLFlowRepository and OpcRepository to use unified logging methods
- Refactored logging calls in MLFlowRepository to replace `self.logger.info` and `self.logger.debug` with `self.info` and `self.debug` for consistency.
- Updated connection logging in OpcRepository to format the connection message properly.
- Adjusted test cases to reflect changes in logging behavior and ensure proper assertions.
Refactor monitoring and metrics integration across various components
- Removed coverage options from `pyproject.toml`.
- Updated prediction metrics in `README.md` to replace `pipeline_name` with `workflow_name`.
- Upgraded `sientia-dataops-library` dependency version in `requirements-light.txt` and `requirements.txt`.
- Enhanced metrics handling in `laborious` activities, including `Activities`, `Gates`, `MLFlow`, and `OPC`, to utilize a new `MetricsController`.
- Refactored metric emission methods to improve clarity and consistency across the codebase.
- Updated tests to reflect changes in metrics handling and ensure proper functionality.
Refactor OPC Test for Output Management
- Added spacing for improved readability in the test_manage_output_tags_failed and test_manage_output_tags_do_nothing functions.
- Reformatted the parameters in the call to manage_output_tags for better clarity and organization.
Enhance OPC Testing for Output Management
- Refactored the test_manage_output_tags_failed function to use parameterization for improved test coverage of different side effects.
- Added a new test_manage_output_tags_do_nothing to verify behavior when an invalid key is provided in the configuration, ensuring that no write operations are performed in this case.
Refactor OPC Class and Enhance Testing for Output Management
- Removed the unused 'success' parameter from the manage_output_tags method in the OPC class to streamline its signature.
- Commented out the error handling logic in the OpcRepository for clarity and future reference.
- Added new tests for manage_output_tags to validate successful and failed write operations, ensuring accurate assertions for output data and metrics.
Refactor OPC Write Test to Separate Output Data and Metrics
- Updated the test for the OPC write operation to separately assert output data and OPC metrics for improved clarity and accuracy in testing.
- Changed the variable names to reflect the new structure of the returned values from the write operation.
Enhance OPC Metrics Handling and Refactor Write Operations
- Updated the OPC class to return response times for write operations, improving metrics tracking.
- Refactored the Gates activity to incorporate OPC metrics into the metrics writing process.
- Adjusted the manage_output_tags method in OpcRepository to return response times for each tag written.
- Modified tests to validate the new metrics structure and ensure correct behavior of the updated methods.
Refactor OPC handling by removing pod_id from initialization and updating logging format
- Removed pod_id parameter from OPC class and repository initialization to streamline connection management.
- Updated logging statements for improved readability during disconnection attempts and error handling.
Update .gitignore and refactor metrics.py for improved logging and consistency
- Added coverage.xml to .gitignore to prevent tracking of coverage reports.
- Refactored metric labels in metrics.py for consistency in string formatting and improved readability.
- Enhanced logging messages in various activities to ensure uniformity in message formatting.
Refactor OpcRepository and update tests for async handling
- Removed the shutdown method from OpcRepository and adjusted the disconnect logic.
- Updated tests in test_activities.py and test_opc.py to support async shutdown functionality.
- Enhanced test cases in test_opc_repository.py to ensure proper async behavior and error handling in OpcRepository methods.
Refactor OPC data writing and repository initialization
- Simplified success tracking logic in the OPC class for writing prediction and confidence data.
- Removed unused pod_id attribute from OpcRepository initialization.
- Updated test cases to include pod_id for improved metrics tracking during data writing operations.
SIENTIAPDE-1163 Enhance OPC tests to improve error handling and notifications. Added tests for MongoDB configuration and refined connection error handling in OPC repository.
Refactor notification handling in Gates and OPC activities to use send_notification method with metadata integration, enhancing error reporting and traceability.
Refactor and enhance the laborious workflow and utilities
- Removed outdated test file `test_predictions_batch.py` from workflows.
- Added `input_sample.json` for standardized input configuration.
- Introduced `connectors_config.py` to manage database and service configurations.
- Implemented a logging utility in `logger.py` for consistent logging across the application.
- Created `policies.py` to define retry policies for workflows.
- Developed comprehensive tests for `MLFlowRepository` in `test_model_repository.py`.
- Added extensive tests for `OpcRepository` in `test_opc_repository.py`.
- Updated `test_predictions_batch.py` to reflect new workflow structure and testing methodology.
Refactor activity methods and update requirements.txt to enhance functionality and remove deprecated filters. Added detailed docstrings for clarity and improved error handling in data processing workflows.
