SIENTIAPDE-1646

Enhance MLFlow reference data handling and testing

- Updated the artifact handling in MLFlow to prioritize 'retrain_input.csv' over 'train_data.csv' when resolving reference data.
- Introduced new methods for resolving artifact names and locating downloaded CSV files.
- Modified the `get_reference_data` method to improve artifact resolution and error handling.
- Expanded unit tests to cover scenarios for missing artifacts and preference logic between retrain and train data CSVs.

laborious/activities/opc.py

@@ -143,9 +143,7 @@ class OPC(SientiaMonitoring):
                     attachment_content=error_data.get('attachment_content', None),
                 )
             else:
-                self.info(
-                    f'OPC server {opc_id}:{server["server_name"]} connected successfully.'
-                )
+                self.info(f'OPC server {opc_id}:{server["server_name"]} connected successfully.')
 
     def write_data(
         self,