Update requirements and enhance OPC communication handling
- Updated `requirements-local.txt` to use the latest versions of `sientia-dataops-library` (1.12.1) and `sientia-model-library` (0.10.0).
- Improved documentation in `opc-communication.md` to clarify the transition from async to sync implementation and added details on error classification and reconnection behavior.
- Refactored `init_opc` method in `opc.py` to enhance connection handling and logging, ensuring independent server initialization.
- Enhanced validation and writing methods in `opc.py` to provide better feedback and error handling for OPC server operations.
- Updated `opc_repository.py` to improve error payload construction and session management metrics.
SIENTIAPDE-1646 Update dependencies and refactor OPC integration
- Replaced `opcua` with `asyncua` in `requirements-local.txt` and `requirements.txt` to utilize the async capabilities.
- Updated `values.yaml` to change the GitHub branch from `feature/SIENTIAPDE-1646` to `release/SIENTIAPDE-1646`.
- Refactored `opc.py` and `opc_repository.py` to accommodate the new `asyncua` library, ensuring compatibility with the synchronous API.
- Adjusted tests in `test_opc_repository.py` to reflect changes in the client implementation and maintain functionality.
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 dependencies and refactor MLFlow activities
- Replaced direct GitHub dependencies in `requirements.txt` with specific versioned packages for `sientia_do` and `sientia_model`.
- Refactored imports in `activities.py` to streamline the code structure.
- Enhanced the `MLFlow` class in `mlflow.py` by introducing a method to resolve model aliases, improving flexibility in model lookups.
- Simplified shutdown logic in `worker.py` for better readability.
- Added new tests for MLFlow activities and improved existing test coverage for data handling and model retraining processes.
