def test_credentials_transport_error(): # It is an error to provide credentials and a transport instance. transport = transports.PredictionServiceGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), transport=transport, ) # It is an error to provide a credentials file and a transport instance. transport = transports.PredictionServiceGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = PredictionServiceClient( client_options={"credentials_file": "credentials.json"}, transport=transport, ) # It is an error to provide scopes and a transport instance. transport = transports.PredictionServiceGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) with pytest.raises(ValueError): client = PredictionServiceClient( client_options={"scopes": ["1", "2"]}, transport=transport, )
def test_transport_instance(): # A client may be instantiated with a custom transport instance. transport = transports.PredictionServiceGrpcTransport( credentials=ga_credentials.AnonymousCredentials(), ) client = PredictionServiceClient(transport=transport) assert client.transport is transport
def test_predict( transport: str = "grpc", request_type=prediction_service.PredictRequest ): client = PredictionServiceClient( credentials=ga_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.predict), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = prediction_service.PredictResponse( deployed_model_id="deployed_model_id_value", ) response = client.predict(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == prediction_service.PredictRequest() # Establish that the response is the type that we expect. assert isinstance(response, prediction_service.PredictResponse) assert response.deployed_model_id == "deployed_model_id_value"
def test_predict_flattened(): client = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.predict), '__call__') as call: # Designate an appropriate return value for the call. call.return_value = prediction_service.PredictResponse() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.predict( endpoint='endpoint_value', instances=[struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE)], parameters=struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_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].endpoint == 'endpoint_value' assert args[0].instances == [struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE)] assert args[0].parameters == struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE)
def test_predict_field_headers(): client = PredictionServiceClient( credentials=ga_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 = prediction_service.PredictRequest() request.endpoint = 'endpoint/value' # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.predict), '__call__') as call: call.return_value = prediction_service.PredictResponse() client.predict(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', 'endpoint=endpoint/value', ) in kw['metadata']
def test_prediction_service_host_with_port(): client = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), client_options=client_options.ClientOptions( api_endpoint="aiplatform.googleapis.com:8000" ), ) assert client.transport._host == "aiplatform.googleapis.com:8000"
def test_prediction_service_auth_adc_old_google_auth(): # If no credentials are provided, we should use ADC credentials. with mock.patch.object(google.auth, "default", autospec=True) as adc: adc.return_value = (ga_credentials.AnonymousCredentials(), None) PredictionServiceClient() adc.assert_called_once_with( scopes=("https://www.googleapis.com/auth/cloud-platform",), quota_project_id=None, )
def test_transport_grpc_default(): # A client should use the gRPC transport by default. client = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), ) assert isinstance( client.transport, transports.PredictionServiceGrpcTransport, )
def test_predict_flattened_error(): client = PredictionServiceClient(credentials=ga_credentials.AnonymousCredentials(),) # Attempting to call a method with both a request object and flattened # fields is an error. with pytest.raises(ValueError): client.predict( prediction_service.PredictRequest(), endpoint="endpoint_value", instances=[struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE)], parameters=struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE), )
def test_predict_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 = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), transport="grpc", ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.predict), "__call__") as call: client.predict() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == prediction_service.PredictRequest()
def test_prediction_service_client_client_options_from_dict(): with mock.patch('google.cloud.aiplatform_v1.services.prediction_service.transports.PredictionServiceGrpcTransport.__init__') as grpc_transport: grpc_transport.return_value = None client = PredictionServiceClient( client_options={'api_endpoint': 'squid.clam.whelk'} ) grpc_transport.assert_called_once_with( credentials=None, credentials_file=None, host="squid.clam.whelk", scopes=None, client_cert_source_for_mtls=None, quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, )
def test_client_withDEFAULT_CLIENT_INFO(): client_info = gapic_v1.client_info.ClientInfo() with mock.patch.object(transports.PredictionServiceTransport, '_prep_wrapped_messages') as prep: client = PredictionServiceClient( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info) with mock.patch.object(transports.PredictionServiceTransport, '_prep_wrapped_messages') as prep: transport_class = PredictionServiceClient.get_transport_class() transport = transport_class( credentials=ga_credentials.AnonymousCredentials(), client_info=client_info, ) prep.assert_called_once_with(client_info)