def test_mutate_keyword_plan_campaigns_field_headers(): client = KeywordPlanCampaignServiceClient( 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 = keyword_plan_campaign_service.MutateKeywordPlanCampaignsRequest() request.customer_id = 'customer_id/value' # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.mutate_keyword_plan_campaigns), '__call__') as call: call.return_value = keyword_plan_campaign_service.MutateKeywordPlanCampaignsResponse() client.mutate_keyword_plan_campaigns(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', 'customer_id=customer_id/value', ) in kw['metadata']
def test_mutate_keyword_plan_campaigns_flattened_error(): client = KeywordPlanCampaignServiceClient( 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.mutate_keyword_plan_campaigns( keyword_plan_campaign_service.MutateKeywordPlanCampaignsRequest(), customer_id='customer_id_value', operations=[keyword_plan_campaign_service.KeywordPlanCampaignOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_value']))], )
def test_mutate_keyword_plan_campaigns(transport: str = 'grpc', request_type=keyword_plan_campaign_service.MutateKeywordPlanCampaignsRequest): client = KeywordPlanCampaignServiceClient( 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.mutate_keyword_plan_campaigns), '__call__') as call: # Designate an appropriate return value for the call. call.return_value = keyword_plan_campaign_service.MutateKeywordPlanCampaignsResponse( ) response = client.mutate_keyword_plan_campaigns(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) == 1 _, args, _ = call.mock_calls[0] assert args[0] == keyword_plan_campaign_service.MutateKeywordPlanCampaignsRequest() # Establish that the response is the type that we expect. assert isinstance(response, keyword_plan_campaign_service.MutateKeywordPlanCampaignsResponse)
def test_mutate_keyword_plan_campaigns_flattened(): client = KeywordPlanCampaignServiceClient( credentials=ga_credentials.AnonymousCredentials(), ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.mutate_keyword_plan_campaigns), '__call__') as call: # Designate an appropriate return value for the call. call.return_value = keyword_plan_campaign_service.MutateKeywordPlanCampaignsResponse() # Call the method with a truthy value for each flattened field, # using the keyword arguments to the method. client.mutate_keyword_plan_campaigns( customer_id='customer_id_value', operations=[keyword_plan_campaign_service.KeywordPlanCampaignOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_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].customer_id == 'customer_id_value' assert args[0].operations == [keyword_plan_campaign_service.KeywordPlanCampaignOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_value']))]