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)
