def test_predict(transport: str = "grpc"):
client = PredictionServiceClient(
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 = prediction_service.PredictRequest()
# 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(
recommendation_token="recommendation_token_value",
items_missing_in_catalog=["items_missing_in_catalog_value"],
dry_run=True,
next_page_token="next_page_token_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] == request
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.PredictPager)
assert response.recommendation_token == "recommendation_token_value"
assert response.items_missing_in_catalog == ["items_missing_in_catalog_value"]
assert response.dry_run is True
assert response.next_page_token == "next_page_token_value"
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.PredictionServiceGrpcTransport(
credentials=credentials.AnonymousCredentials()
)
client = PredictionServiceClient(transport=transport)
assert client._transport is transport
def test_predict_pages():
client = PredictionServiceClient(credentials=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:
# Set the response to a series of pages.
call.side_effect = (
prediction_service.PredictResponse(
results=[
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
],
next_page_token="abc",
),
prediction_service.PredictResponse(results=[], next_page_token="def"),
prediction_service.PredictResponse(
results=[prediction_service.PredictResponse.PredictionResult()],
next_page_token="ghi",
),
prediction_service.PredictResponse(
results=[
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
]
),
RuntimeError,
)
pages = list(client.predict(request={}).pages)
for page, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page.raw_page.next_page_token == token
def test_predict_pager():
client = PredictionServiceClient(credentials=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:
# Set the response to a series of pages.
call.side_effect = (
prediction_service.PredictResponse(
results=[
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
],
next_page_token="abc",
),
prediction_service.PredictResponse(results=[], next_page_token="def"),
prediction_service.PredictResponse(
results=[prediction_service.PredictResponse.PredictionResult()],
next_page_token="ghi",
),
prediction_service.PredictResponse(
results=[
prediction_service.PredictResponse.PredictionResult(),
prediction_service.PredictResponse.PredictionResult(),
]
),
RuntimeError,
)
results = [i for i in client.predict(request={})]
assert len(results) == 6
assert all(
isinstance(i, prediction_service.PredictResponse.PredictionResult)
for i in results
)
def test_prediction_service_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)
PredictionServiceClient()
adc.assert_called_once_with(
scopes=("https://www.googleapis.com/auth/cloud-platform",)
)
def test_prediction_service_client_client_options_from_dict():
with mock.patch(
"google.cloud.recommendationengine_v1beta1.services.prediction_service.PredictionServiceClient.get_transport_class"
) as gtc:
transport = gtc.return_value = mock.MagicMock()
client = PredictionServiceClient(
client_options={"api_endpoint": "squid.clam.whelk"}
)
transport.assert_called_once_with(credentials=None, host="squid.clam.whelk")
def test_prediction_service_host_with_port():
client = PredictionServiceClient(
credentials=credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="recommendationengine.googleapis.com:8000"
),
transport="grpc",
)
assert client._transport._host == "recommendationengine.googleapis.com:8000"
def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.PredictionServiceGrpcTransport(
credentials=credentials.AnonymousCredentials()
)
with pytest.raises(ValueError):
client = PredictionServiceClient(
credentials=credentials.AnonymousCredentials(), transport=transport
)
def test_prediction_service_client_client_options():
# Check the default options have their expected values.
assert (
PredictionServiceClient.DEFAULT_OPTIONS.api_endpoint
== "recommendationengine.googleapis.com"
)
# Check that options can be customized.
options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
with mock.patch(
"google.cloud.recommendationengine_v1beta1.services.prediction_service.PredictionServiceClient.get_transport_class"
) as gtc:
transport = gtc.return_value = mock.MagicMock()
client = PredictionServiceClient(client_options=options)
transport.assert_called_once_with(credentials=None, host="squid.clam.whelk")
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = PredictionServiceClient(credentials=credentials.AnonymousCredentials())
assert isinstance(client._transport, transports.PredictionServiceGrpcTransport)