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.
- 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.
Update requirements and environment configurations
- Changed the sientia-dataops-library dependency to a relative path in requirements.txt.
- Updated image tag to 0.3.0 in values.yaml.
- Renamed HTTP_SERVER_PORT to HTTP_METRICS_PORT in app.py and updated its default value to 9090.
- Added TAG_WRITTEN_COUNT metric in metrics.py to track writing processes.
- Incremented TAG_WRITTEN_COUNT in DataManager upon successful data insertion.
