feat: enhance test scenarios and configuration for regression models

- Updated `pyproject.toml` to include new linting rules for end-to-end tests.
- Modified `requirements-dev.txt` to add dependencies for E2E testing with `testcontainers` and `requests`.
- Refactored multiple JSON test scenario files to standardize structure, including new fields for `experiment_run_id`, `bucket_name`, and `file_name`.
- Improved model training parameters in `train_model_params.py` to use `experiment_name` directly.
- Adjusted `data_manager_repository.py` to utilize the updated `experiment_name` for logging.

These changes improve the organization and clarity of regression model tests and enhance the overall testing framework.

model_manager/utils/repository/data_manager_repository.py

@@ -200,7 +200,7 @@ class DataManagerRepository(SientiaMonitoring):
             metadata,
         )
 
-        experiment_name = f'{params.model_name}'
+        experiment_name = f'{params.experiment_name}'
         run_name = f'{experiment_name}_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
 
         return TrainModelResult(