def test_credentials_transport_error(): # It is an error to provide credentials and a transport instance. transport = transports.ImageAnnotatorGrpcTransport( credentials=credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), transport=transport, ) # It is an error to provide a credentials file and a transport instance. transport = transports.ImageAnnotatorGrpcTransport( credentials=credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = ImageAnnotatorClient( client_options={"credentials_file": "credentials.json"}, transport=transport, ) # It is an error to provide scopes and a transport instance. transport = transports.ImageAnnotatorGrpcTransport( credentials=credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = ImageAnnotatorClient( client_options={"scopes": ["1", "2"]}, transport=transport, )
def test_image_annotator_host_with_port(): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="vision.googleapis.com:8000"), ) assert client._transport._host == "vision.googleapis.com:8000"
def test_async_batch_annotate_files( transport: str = "grpc", request_type=image_annotator.AsyncBatchAnnotateFilesRequest): client = ImageAnnotatorClient( 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 = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.async_batch_annotate_files), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = operations_pb2.Operation(name="operations/spam") response = client.async_batch_annotate_files(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == image_annotator.AsyncBatchAnnotateFilesRequest() # Establish that the response is the type that we expect. assert isinstance(response, future.Future)
def test_async_batch_annotate_files_flattened(): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.async_batch_annotate_files), "__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. client.async_batch_annotate_files(requests=[ image_annotator.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_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].requests == [ image_annotator.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_value"))) ]
def test_batch_annotate_images_flattened(): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client._transport.batch_annotate_images), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = image_annotator.BatchAnnotateImagesResponse() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.batch_annotate_images(requests=[ image_annotator.AnnotateImageRequest(image=image_annotator.Image( content=b"content_blob")) ], ) # 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].requests == [ image_annotator.AnnotateImageRequest(image=image_annotator.Image( content=b"content_blob")) ]
def test_transport_instance(): # A client may be instantiated with a custom transport instance. transport = transports.ImageAnnotatorGrpcTransport( credentials=credentials.AnonymousCredentials(), ) client = ImageAnnotatorClient(transport=transport) assert client.transport is transport
def test_transport_grpc_default(): # A client should use the gRPC transport by default. client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), ) assert isinstance( client._transport, transports.ImageAnnotatorGrpcTransport, )
def test_image_annotator_grpc_lro_client(): client = ImageAnnotatorClient( 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_image_annotator_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) ImageAnnotatorClient() adc.assert_called_once_with( scopes=( "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision", ), quota_project_id=None, )
def test_batch_annotate_images_flattened_error(): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.batch_annotate_images( image_annotator.BatchAnnotateImagesRequest(), requests=[ image_annotator.AnnotateImageRequest( image=image_annotator.Image(content=b"content_blob")) ], )
def test_async_batch_annotate_files_flattened_error(): client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), ) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.async_batch_annotate_files( image_annotator.AsyncBatchAnnotateFilesRequest(), requests=[ image_annotator.AsyncAnnotateFileRequest( input_config=image_annotator.InputConfig( gcs_source=image_annotator.GcsSource(uri="uri_value"))) ], )
def test_image_annotator_client_client_options_from_dict(): with mock.patch( "google.cloud.vision_v1p2beta1.services.image_annotator.transports.ImageAnnotatorGrpcTransport.__init__" ) as grpc_transport: grpc_transport.return_value = None client = ImageAnnotatorClient( client_options={"api_endpoint": "squid.clam.whelk"}) grpc_transport.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, ssl_channel_credentials=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, )
def test_async_batch_annotate_files_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.async_batch_annotate_files), "__call__") as call: client.async_batch_annotate_files() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == image_annotator.AsyncBatchAnnotateFilesRequest()
def test_client_withDEFAULT_CLIENT_INFO(): client_info = gapic_v1.client_info.ClientInfo() with mock.patch.object(transports.ImageAnnotatorTransport, "_prep_wrapped_messages") as prep: client = ImageAnnotatorClient( credentials=credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) with mock.patch.object(transports.ImageAnnotatorTransport, "_prep_wrapped_messages") as prep: transport_class = ImageAnnotatorClient.get_transport_class() transport = transport_class( credentials=credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info)