예제 #1
0
def test_get_customer_feed_field_headers():
    client = CustomerFeedServiceClient(
        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 = customer_feed_service.GetCustomerFeedRequest()

    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_customer_feed),
            '__call__') as call:
        call.return_value = customer_feed.CustomerFeed()
        client.get_customer_feed(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']
예제 #2
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def test_get_customer_feed_flattened_error():
    client = CustomerFeedServiceClient(
        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_customer_feed(
            customer_feed_service.GetCustomerFeedRequest(),
            resource_name='resource_name_value',
        )
예제 #3
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def test_get_customer_feed(transport: str = 'grpc', request_type=customer_feed_service.GetCustomerFeedRequest):
    client = CustomerFeedServiceClient(
        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_customer_feed),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = customer_feed.CustomerFeed(
            resource_name='resource_name_value',
            feed='feed_value',
            placeholder_types=[placeholder_type.PlaceholderTypeEnum.PlaceholderType.UNKNOWN],
            status=feed_link_status.FeedLinkStatusEnum.FeedLinkStatus.UNKNOWN,
        )
        response = client.get_customer_feed(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0] == customer_feed_service.GetCustomerFeedRequest()

    # Establish that the response is the type that we expect.
    assert isinstance(response, customer_feed.CustomerFeed)
    assert response.resource_name == 'resource_name_value'
    assert response.feed == 'feed_value'
    assert response.placeholder_types == [placeholder_type.PlaceholderTypeEnum.PlaceholderType.UNKNOWN]
    assert response.status == feed_link_status.FeedLinkStatusEnum.FeedLinkStatus.UNKNOWN
예제 #4
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def test_get_customer_feed_flattened():
    client = CustomerFeedServiceClient(
        credentials=ga_credentials.AnonymousCredentials(),
    )

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(
            type(client.transport.get_customer_feed),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = customer_feed.CustomerFeed()
        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        client.get_customer_feed(
            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'