SIENTIAPDE-1231

Enhance Gates and MLFlowRepository with new functionalities and improvements

- Added a new method `clean_tmp_files` in the Gates class to remove temporary files associated with model retraining.
- Updated MLFlowRepository methods to improve experiment handling, including dynamic parameter logging and model retrieval.
- Refactored model loading methods to streamline the process and enhance error handling.
- Improved logging for model operations and added support for model parameter retrieval.
- Adjusted minimal_retrain workflow to extend timeouts for activities and ensure proper model configuration handling.

laborious/workflows/minimal_retrain.py

@@ -95,7 +95,7 @@ class MinimalRetrain():
                 'model_config': model_config
             },
             retry_policy=retry_policy,
-            start_to_close_timeout=timedelta(seconds=600)
+            start_to_close_timeout=timedelta(hours=1)
         )
 
         if experiment_response['success']:
@@ -108,7 +108,7 @@ class MinimalRetrain():
                     **experiment_response
                 },
                 retry_policy=retry_policy,
-                start_to_close_timeout=timedelta(seconds=600)
+                start_to_close_timeout=timedelta(seconds=60)
             )
         else:
             update_report = {}
@@ -123,7 +123,7 @@ class MinimalRetrain():
                 'update_report': update_report
             },
             retry_policy=retry_policy,
-            start_to_close_timeout=timedelta(seconds=600)
+            start_to_close_timeout=timedelta(seconds=60)
         )
 
         await workflow.execute_activity_method(