feat: enhance training reporting and directory management

- Added functionality to store run name and ID in the training results.
- Implemented report generation in the `DataManagerRepository`, including methods to create a run directory and generate comprehensive reports.
- Updated `TrainModelResult` to include `run_id` and `run_dir` attributes for better tracking of training sessions.

model_manager/activities/training.py

@@ -248,6 +248,14 @@ class Training(SientiaMonitoring):
             ) as run_info:
                 wrapper.store_model(name=train_params.model_name)
 
+            train_result.run_name = run_info.run_name
+            train_result.run_id = run_info.run_id
+
+            train_result = self.data_manager_repository.generate_report(
+                train_result,
+                metadata=metadata,
+            )
+
             model_saved = True
 
             return {