def test_get_recommendation_field_headers():
client = RecommendationServiceClient(
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 = recommendation_service.GetRecommendationRequest()
request.resource_name = 'resource_name/value'
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_recommendation),
'__call__') as call:
call.return_value = recommendation.Recommendation()
client.get_recommendation(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',
'resource_name=resource_name/value',
) in kw['metadata']
def test_get_recommendation_flattened_error():
client = RecommendationServiceClient(
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.get_recommendation(
recommendation_service.GetRecommendationRequest(),
resource_name='resource_name_value',
)
def test_get_recommendation(transport: str = 'grpc', request_type=recommendation_service.GetRecommendationRequest):
client = RecommendationServiceClient(
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.get_recommendation),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = recommendation.Recommendation(
resource_name='resource_name_value',
type_=recommendation_type.RecommendationTypeEnum.RecommendationType.UNKNOWN,
campaign_budget_recommendation=recommendation.Recommendation.CampaignBudgetRecommendation(current_budget_amount_micros=wrappers_pb2.Int64Value(value=541)),
)
response = client.get_recommendation(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == recommendation_service.GetRecommendationRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, recommendation.Recommendation)
assert response.resource_name == 'resource_name_value'
assert response.type_ == recommendation_type.RecommendationTypeEnum.RecommendationType.UNKNOWN
def test_get_recommendation_flattened():
client = RecommendationServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_recommendation),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = recommendation.Recommendation()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_recommendation(
resource_name='resource_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].resource_name == 'resource_name_value'