feat: enhance configuration and scheduling for cleanup processes

- Updated `.env.example` to include new environment variables for MinIO and PyPI configuration.
- Refactored `create_cleanup_schedule` to utilize runtime-specific task queues and improve schedule reconciliation logic.
- Enhanced `Activities` class to require a default bucket in MinIO configuration.
- Adjusted `requirements.txt` to specify version for `evidently`.
- Updated tests to reflect changes in schedule creation and configuration handling.

model_manager/activities/activities.py

@@ -59,7 +59,7 @@ class Activities(ExperimentTracking, Training, Cleanup):
             mlflow_config: MLFlow server configuration dictionary
                 Required keys: host, port, username, password
             minio_config: MinIO storage configuration dictionary
-                Required keys: endpoint_url, access_key, secret_key, region, use_ssl
+                Required keys: endpoint_url, access_key, secret_key, region, use_ssl, default_bucket
             logger: Logger instance for observability and debugging
             notification_handler: Notification handler for alerts and monitoring
 
@@ -108,6 +108,7 @@ class Activities(ExperimentTracking, Training, Cleanup):
             notification_handler=notification_handler,
             metrics_controller=metrics_controller,
             secure=minio_config['use_ssl'],
+            bucket=minio_config['default_bucket'],
         )
 
         Training.__init__(