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.
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.
