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.

tests/worker/test_prepare_worker.py

@@ -29,12 +29,13 @@ def test_prepare_worker_train_queue_uses_train_limits():
                 activities=[],
                 temporal_client=fake_client,
                 logger=fake_logger,
+                runtime='model-manager-worker',
             )
 
     assert worker is fake_worker
     worker_class.assert_called_once()
     kwargs = worker_class.call_args.kwargs
-    assert kwargs['task_queue'] == 'train_model-queue'
+    assert kwargs['task_queue'] == 'train_model-model-manager-worker-queue'
     assert kwargs['max_concurrent_activities'] == 6
     assert kwargs['max_concurrent_workflow_tasks'] == 10
     assert kwargs['activity_executor']._max_workers == 3
@@ -66,11 +67,12 @@ def test_prepare_worker_cleanup_queue_uses_cleanup_limits():
                 activities=[],
                 temporal_client=fake_client,
                 logger=fake_logger,
+                runtime='model-manager-worker',
             )
 
     assert worker is fake_worker
     kwargs = worker_class.call_args.kwargs
-    assert kwargs['task_queue'] == 'cleanup_files-queue'
+    assert kwargs['task_queue'] == 'cleanup_files-model-manager-worker-queue'
     assert kwargs['max_concurrent_activities'] == 7
     assert kwargs['activity_executor']._max_workers == 5
     kwargs['activity_executor'].shutdown(wait=True, cancel_futures=True)