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/utils/models/train_model_result.py

@@ -44,6 +44,9 @@ class TrainModelResult:
     equation: dict | None = None
     equation_path: str | None = None
     run_name: str | None = None
+    run_id: str | None = None
     report_path: str | None = None
     train_data_path: str | None = None
     test_data_path: str | None = None
+
+    run_dir: str | None = None