def test_list_instances_pages(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.list_instances), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( cloud_memcache.ListInstancesResponse( resources=[ cloud_memcache.Instance(), cloud_memcache.Instance(), cloud_memcache.Instance(), ], next_page_token="abc", ), cloud_memcache.ListInstancesResponse(resources=[], next_page_token="def"), cloud_memcache.ListInstancesResponse( resources=[cloud_memcache.Instance()], next_page_token="ghi" ), cloud_memcache.ListInstancesResponse( resources=[cloud_memcache.Instance(), cloud_memcache.Instance()] ), RuntimeError, ) pages = list(client.list_instances(request={}).pages) for page, token in zip(pages, ["abc", "def", "ghi", ""]): assert page.raw_page.next_page_token == token
def test_update_parameters_flattened(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client._transport.update_parameters), "__call__" ) as call: # Designate an appropriate return value for the call. call.return_value = operations_pb2.Operation(name="operations/op") # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = client.update_parameters( name="name_value", update_mask=field_mask.FieldMask(paths=["paths_value"]), parameters=cloud_memcache.MemcacheParameters(id="id_value"), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0].name == "name_value" assert args[0].update_mask == field_mask.FieldMask(paths=["paths_value"]) assert args[0].parameters == cloud_memcache.MemcacheParameters(id="id_value")
def test_list_instances(transport: str = "grpc"): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), transport=transport ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = cloud_memcache.ListInstancesRequest() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.list_instances), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = cloud_memcache.ListInstancesResponse( next_page_token="next_page_token_value", unreachable=["unreachable_value"] ) response = client.list_instances(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the response is the type that we expect. assert isinstance(response, pagers.ListInstancesPager) assert response.next_page_token == "next_page_token_value" assert response.unreachable == ["unreachable_value"]
def test_list_instances_pager(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.list_instances), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( cloud_memcache.ListInstancesResponse( resources=[ cloud_memcache.Instance(), cloud_memcache.Instance(), cloud_memcache.Instance(), ], next_page_token="abc", ), cloud_memcache.ListInstancesResponse(resources=[], next_page_token="def"), cloud_memcache.ListInstancesResponse( resources=[cloud_memcache.Instance()], next_page_token="ghi" ), cloud_memcache.ListInstancesResponse( resources=[cloud_memcache.Instance(), cloud_memcache.Instance()] ), RuntimeError, ) results = [i for i in client.list_instances(request={})] assert len(results) == 6 assert all(isinstance(i, cloud_memcache.Instance) for i in results)
def test_apply_parameters(transport: str = "grpc"): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), transport=transport ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = cloud_memcache.ApplyParametersRequest() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client._transport.apply_parameters), "__call__" ) as call: # Designate an appropriate return value for the call. call.return_value = operations_pb2.Operation(name="operations/spam") response = client.apply_parameters(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the response is the type that we expect. assert isinstance(response, future.Future)
def test_cloud_memcache_auth_adc(): # If no credentials are provided, we should use ADC credentials. with mock.patch.object(auth, "default") as adc: adc.return_value = (credentials.AnonymousCredentials(), None) CloudMemcacheClient() adc.assert_called_once_with( scopes=("https://www.googleapis.com/auth/cloud-platform", ))
def test_transport_instance(): # A client may be instantiated with a custom transport instance. transport = transports.CloudMemcacheGrpcTransport( credentials=credentials.AnonymousCredentials() ) client = CloudMemcacheClient(transport=transport) assert client._transport is transport
def test_get_instance_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.get_instance(cloud_memcache.GetInstanceRequest(), name="name_value")
def test_create_instance_flattened(): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials()) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.create_instance), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = operations_pb2.Operation(name="operations/op") # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = client.create_instance( parent="parent_value", instance_id="instance_id_value", resource=cloud_memcache.Instance(name="name_value"), ) # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0].parent == "parent_value" assert args[0].instance_id == "instance_id_value" assert args[0].resource == cloud_memcache.Instance(name="name_value")
def test_cloud_memcache_host_with_port(): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="memcache.googleapis.com:8000"), transport="grpc", ) assert client._transport._host == "memcache.googleapis.com:8000"
def test_credentials_transport_error(): # It is an error to provide credentials and a transport instance. transport = transports.CloudMemcacheGrpcTransport( credentials=credentials.AnonymousCredentials()) with pytest.raises(ValueError): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), transport=transport)
def test_list_instances_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.list_instances( cloud_memcache.ListInstancesRequest(), parent="parent_value" )
def test_cloud_memcache_client_client_options_from_dict(): with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.CloudMemcacheClient.get_transport_class" ) as gtc: transport = gtc.return_value = mock.MagicMock() client = CloudMemcacheClient( client_options={"api_endpoint": "squid.clam.whelk"}) transport.assert_called_once_with(credentials=None, host="squid.clam.whelk")
def test_cloud_memcache_grpc_lro_client(): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), transport="grpc" ) transport = client._transport # Ensure that we have a api-core operations client. assert isinstance(transport.operations_client, operations_v1.OperationsClient) # Ensure that subsequent calls to the property send the exact same object. assert transport.operations_client is transport.operations_client
def test_update_instance_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.update_instance( cloud_memcache.UpdateInstanceRequest(), update_mask=field_mask.FieldMask(paths=["paths_value"]), resource=cloud_memcache.Instance(name="name_value"), )
def test_apply_parameters_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.apply_parameters( cloud_memcache.ApplyParametersRequest(), name="name_value", node_ids=["node_ids_value"], apply_all=True, )
def test_update_parameters_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.update_parameters( cloud_memcache.UpdateParametersRequest(), name="name_value", update_mask=field_mask.FieldMask(paths=["paths_value"]), parameters=cloud_memcache.MemcacheParameters(id="id_value"), )
def test_create_instance_flattened_error(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.create_instance( cloud_memcache.CreateInstanceRequest(), parent="parent_value", instance_id="instance_id_value", resource=cloud_memcache.Instance(name="name_value"), )
def test_cloud_memcache_client_client_options(): # Check the default options have their expected values. assert CloudMemcacheClient.DEFAULT_OPTIONS.api_endpoint == "memcache.googleapis.com" # Check that options can be customized. options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.CloudMemcacheClient.get_transport_class" ) as gtc: transport = gtc.return_value = mock.MagicMock() client = CloudMemcacheClient(client_options=options) transport.assert_called_once_with(credentials=None, host="squid.clam.whelk")
def test_cloud_memcache_client_client_options_from_dict(): with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = CloudMemcacheClient( client_options={"api_endpoint": "squid.clam.whelk"} ) grpc_transport.assert_called_once_with( api_mtls_endpoint=None, client_cert_source=None, credentials=None, host="squid.clam.whelk", )
def test_list_instances_flattened(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.list_instances), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = cloud_memcache.ListInstancesResponse() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. response = client.list_instances(parent="parent_value") # Establish that the underlying call was made with the expected # request object values. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0].parent == "parent_value"
def test_get_instance(transport: str = "grpc"): client = CloudMemcacheClient( credentials=credentials.AnonymousCredentials(), transport=transport ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = cloud_memcache.GetInstanceRequest() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.get_instance), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = cloud_memcache.Instance( name="name_value", display_name="display_name_value", authorized_network="authorized_network_value", zones=["zones_value"], node_count=1070, memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, state=cloud_memcache.Instance.State.CREATING, memcache_full_version="memcache_full_version_value", discovery_endpoint="discovery_endpoint_value", ) response = client.get_instance(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the response is the type that we expect. assert isinstance(response, cloud_memcache.Instance) assert response.name == "name_value" assert response.display_name == "display_name_value" assert response.authorized_network == "authorized_network_value" assert response.zones == ["zones_value"] assert response.node_count == 1070 assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 assert response.state == cloud_memcache.Instance.State.CREATING assert response.memcache_full_version == "memcache_full_version_value" assert response.discovery_endpoint == "discovery_endpoint_value"
def test_get_instance_field_headers(): client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = cloud_memcache.GetInstanceRequest(name="name/value") # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.get_instance), "__call__") as call: call.return_value = cloud_memcache.Instance() client.get_instance(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ("x-goog-request-params", "name=name/value") in kw["metadata"]
def test_cloud_memcache_client_client_options(): # Check that if channel is provided we won't create a new one. with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.CloudMemcacheClient.get_transport_class" ) as gtc: transport = transports.CloudMemcacheGrpcTransport( credentials=credentials.AnonymousCredentials() ) client = CloudMemcacheClient(transport=transport) gtc.assert_not_called() # Check mTLS is not triggered with empty client options. options = client_options.ClientOptions() with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.CloudMemcacheClient.get_transport_class" ) as gtc: transport = gtc.return_value = mock.MagicMock() client = CloudMemcacheClient(client_options=options) transport.assert_called_once_with( credentials=None, host=client.DEFAULT_ENDPOINT ) # Check mTLS is not triggered if api_endpoint is provided but # client_cert_source is None. options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = CloudMemcacheClient(client_options=options) grpc_transport.assert_called_once_with( api_mtls_endpoint=None, client_cert_source=None, credentials=None, host="squid.clam.whelk", ) # Check mTLS is triggered if client_cert_source is provided. options = client_options.ClientOptions( client_cert_source=client_cert_source_callback ) with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = CloudMemcacheClient(client_options=options) grpc_transport.assert_called_once_with( api_mtls_endpoint=client.DEFAULT_MTLS_ENDPOINT, client_cert_source=client_cert_source_callback, credentials=None, host=client.DEFAULT_ENDPOINT, ) # Check mTLS is triggered if api_endpoint and client_cert_source are provided. options = client_options.ClientOptions( api_endpoint="squid.clam.whelk", client_cert_source=client_cert_source_callback ) with mock.patch( "google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = CloudMemcacheClient(client_options=options) grpc_transport.assert_called_once_with( api_mtls_endpoint="squid.clam.whelk", client_cert_source=client_cert_source_callback, credentials=None, host="squid.clam.whelk", )
def test_transport_grpc_default(): # A client should use the gRPC transport by default. client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials()) assert isinstance(client._transport, transports.CloudMemcacheGrpcTransport)