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.
SIENTIAPDE-1325: Refactor Ingestor and Manager Classes for Enhanced Asynchronous Operations
- Introduced asynchronous methods across Ingestor, IngestorManager, DataManager, and OpcManager to improve performance and responsiveness.
- Integrated MetricsController into various classes for better observability and monitoring.
- Updated Redis and MongoDB interactions to support asynchronous operations, enhancing data handling efficiency.
- Removed deprecated Redis metrics and streamlined resource management logic.
- Adjusted unit tests to accommodate the new asynchronous behavior and ensure proper mocking of async methods.
Refactor project structure and update configurations
- Deleted the empty `__init__.py` file to clean up the project structure.
- Renamed the project from "laborious" to "ingestor" in `pyproject.toml`, updating the description accordingly.
- Improved type hints and conditional checks in the `Ingestor`, `DataManager`, `IngestorManager`, and `OpcManager` classes for better code clarity and type safety.
- Enhanced error handling and assertions in various methods to ensure robustness.
- Updated unit tests to reflect changes in class names and error handling improvements.
- 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.
Remove deprecated files and enhance documentation
- Deleted `coverage.sh`, `docker-compose.yaml`, `Dockerfile`, and simulator-related files to streamline the project structure.
- Updated `README.md` to provide a comprehensive overview of the OPC Ingestor, including features, architecture, installation, usage, and troubleshooting.
- Enhanced docstrings across various classes and methods in the `ingestor` module for better clarity and maintainability.
- Improved Prometheus metrics documentation in `metrics.py` to ensure proper monitoring and observability of the system.
- 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.
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.
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.
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
