SIENTIAPDE-1231

Update model retraining and logging enhancements

- Changed the GITHUB_BRANCH value in values.yaml to 'main' for consistency.
- Refactored MLFlow class to improve timestamp handling and error messaging during model retraining.
- Enhanced MLFlowRepository methods to include metadata logging and improved model version retrieval.
- Updated minimal_retrain workflow to support extended timeout for activities and include model configuration in input data.

laborious/activities/mlflow.py

@@ -240,13 +240,19 @@ class MLFlow(BaseActivity):
         data.sort_index(inplace=True)
         data.reset_index(inplace=True)
 
-        data = data.dropna()
+        data['timestamp'] = to_datetime(
+            data['timestamp'], format=DATETIME_FORMAT_WITH_TZ).dt.strftime(DATETIME_FORMAT)
+        data['timestamp'] = to_datetime(
+            data['timestamp'], format=DATETIME_FORMAT)
+
+        # data = data.dropna()
         data.columns.name = None
 
         retrain_output = self.model_monitoring_repository.retrain_model(
             data=data,
             model_name=model_name,
-            model_config=model_config
+            model_config=model_config,
+            metadata=metadata
         )
 
         if not retrain_output['success']:
@@ -255,7 +261,7 @@ class MLFlow(BaseActivity):
             self.send_notification(
                 metadata=metadata,
                 notification_id='RETRAIN_MODEL_ERROR',
-                message=f'Error retraining model {model_name}: {retrain_output['message']}',
+                message=f"Error retraining model {model_name}: {retrain_output['message']}",
                 block='retrain_model',
                 level=NotificationLevel.ERROR,
                 attachment_content=trace