SIENTIAPDE-994

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- Removed outdated test file `test_predictions_batch.py` from workflows.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.

tests/laborious/activities/test_mlflow.py

@@ -61,7 +61,7 @@ async def test_request_transform(mock_max, mock_dataframe, mlflow):
     mlflow.model_monitoring_repository.transform.return_value = expected_response
 
     # Call the method
-    response_data, timestamp = await mlflow.request_transform(input_data)
+    response_data = await mlflow.request_transform(input_data)
 
     # Verify the data was correctly transformed
     mock_dataframe.assert_called_once_with(input_data['data'])
@@ -75,7 +75,6 @@ async def test_request_transform(mock_max, mock_dataframe, mlflow):
 
     # Verify the response
     assert response_data == expected_response
-    assert timestamp == '2024-01-02'
 
     # Verify the repository was called with correct arguments
     mlflow.model_monitoring_repository.transform.assert_called_once_with(