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diff --git a/azure/aria/aria-extension-cloudify/src/aria/tests/mock/context.py b/azure/aria/aria-extension-cloudify/src/aria/tests/mock/context.py
new file mode 100644
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+++ b/azure/aria/aria-extension-cloudify/src/aria/tests/mock/context.py
@@ -0,0 +1,57 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+import aria
+from aria.orchestrator import context
+from aria.storage import (
+    sql_mapi,
+    filesystem_rapi,
+)
+
+from . import models
+from ..storage import init_inmemory_model_storage
+from .topology import create_simple_topology_two_nodes
+
+
+def simple(tmpdir, inmemory=False, context_kwargs=None, topology=None):
+    initiator = init_inmemory_model_storage if inmemory else None
+    initiator_kwargs = {} if inmemory else dict(base_dir=tmpdir)
+    topology = topology or create_simple_topology_two_nodes
+
+    model_storage = aria.application_model_storage(
+        sql_mapi.SQLAlchemyModelAPI, initiator=initiator, initiator_kwargs=initiator_kwargs)
+    resource_storage = aria.application_resource_storage(
+        filesystem_rapi.FileSystemResourceAPI,
+        api_kwargs=dict(directory=os.path.join(tmpdir, 'resources'))
+    )
+
+    service_id = topology(model_storage)
+    execution = models.create_execution(model_storage.service.get(service_id))
+    model_storage.execution.put(execution)
+
+    final_kwargs = dict(
+        name='simple_context',
+        model_storage=model_storage,
+        resource_storage=resource_storage,
+        service_id=service_id,
+        workflow_name=models.WORKFLOW_NAME,
+        execution_id=execution.id,
+        task_max_attempts=models.TASK_MAX_ATTEMPTS,
+        task_retry_interval=models.TASK_RETRY_INTERVAL
+    )
+    final_kwargs.update(context_kwargs or {})
+    return context.workflow.WorkflowContext(**final_kwargs)