vFW and vDNS support added to azure-plugin

[multicloud/azure.git] / azure / aria / aria-extension-cloudify / src / aria / tests / orchestrator / workflows / executor / test_process_executor_extension.py

diff --git a/azure/aria/aria-extension-cloudify/src/aria/tests/orchestrator/workflows/executor/test_process_executor_extension.py b/azure/aria/aria-extension-cloudify/src/aria/tests/orchestrator/workflows/executor/test_process_executor_extension.py
new file mode 100644 (file)
index 0000000..b26fa43
--- /dev/null
+++ b/azure/aria/aria-extension-cloudify/src/aria/tests/orchestrator/workflows/executor/test_process_executor_extension.py
@@ -0,0 +1,99 @@
+# 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 pytest
+
+from aria import extension
+from aria.orchestrator.workflows import api
+from aria.orchestrator.workflows.core import engine, graph_compiler
+from aria.orchestrator.workflows.executor import process
+from aria.orchestrator import workflow, operation
+
+import tests
+from tests import mock
+from tests import storage
+
+
+def test_decorate_extension(context, executor):
+    arguments = {'arg1': 1, 'arg2': 2}
+
+    def get_node(ctx):
+        return ctx.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME)
+
+    node = get_node(context)
+    interface_name = 'test_interface'
+    operation_name = 'operation'
+    interface = mock.models.create_interface(
+        context.service,
+        interface_name,
+        operation_name,
+        operation_kwargs=dict(function='{0}.{1}'.format(__name__, _mock_operation.__name__),
+                              arguments=arguments)
+    )
+    node.interfaces[interface.name] = interface
+    context.model.node.update(node)
+
+
+    @workflow
+    def mock_workflow(ctx, graph):
+        node = get_node(ctx)
+        task = api.task.OperationTask(
+            node,
+            interface_name=interface_name,
+            operation_name=operation_name,
+            arguments=arguments)
+        graph.add_tasks(task)
+        return graph
+    graph = mock_workflow(ctx=context)  # pylint: disable=no-value-for-parameter
+    graph_compiler.GraphCompiler(context, executor.__class__).compile(graph)
+    eng = engine.Engine({executor.__class__: executor})
+    eng.execute(context)
+    out = get_node(context).attributes.get('out').value
+    assert out['wrapper_arguments'] == arguments
+    assert out['function_arguments'] == arguments
+
+
+@extension.process_executor
+class MockProcessExecutorExtension(object):
+
+    def decorate(self):
+        def decorator(function):
+            def wrapper(ctx, **operation_arguments):
+                with ctx.model.instrument(ctx.model.node.model_cls.attributes):
+                    ctx.node.attributes['out'] = {'wrapper_arguments': operation_arguments}
+                function(ctx=ctx, **operation_arguments)
+            return wrapper
+        return decorator
+
+
+@operation
+def _mock_operation(ctx, **operation_arguments):
+    ctx.node.attributes['out']['function_arguments'] = operation_arguments
+
+
+@pytest.fixture
+def executor():
+    result = process.ProcessExecutor(python_path=[tests.ROOT_DIR])
+    try:
+        yield result
+    finally:
+        result.close()
+
+
+@pytest.fixture
+def context(tmpdir):
+    result = mock.context.simple(str(tmpdir))
+    yield result
+    storage.release_sqlite_storage(result.model)