SIENTIAPDE-1645: Refactor temporary directory cleanup activity by extracting processing and deletion logic into dedicated helper methods. Update train_test_split to use a local numpy.random generator for improved reproducibility. Remove an unnecessary else: pass block.

model_manager/workflows/train_model.py

@@ -136,8 +136,6 @@ class TrainModel:
                         run_dir=train_result.get('run_dir'),
                         metadata=metadata,
                     )
-                else:
-                    pass
             except Exception:  # noqa: BLE001
                 # If cleanup fails after training failed, there is nothing extra to log (DB not committed).
                 if training_succeeded:  # pragma: no branch