def test_list_instances_flattened_error():
    client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials())

    # Attempting to call a method with both a request object and flattened
    # fields is an error.
    with pytest.raises(ValueError):
        client.list_instances(
            cloud_memcache.ListInstancesRequest(), parent="parent_value"
        )
def test_list_instances_pages():
    client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials)

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.list_instances), "__call__") as call:
        # Set the response to a series of pages.
        call.side_effect = (
            cloud_memcache.ListInstancesResponse(
                resources=[
                    cloud_memcache.Instance(),
                    cloud_memcache.Instance(),
                    cloud_memcache.Instance(),
                ],
                next_page_token="abc",
            ),
            cloud_memcache.ListInstancesResponse(resources=[], next_page_token="def"),
            cloud_memcache.ListInstancesResponse(
                resources=[cloud_memcache.Instance()], next_page_token="ghi"
            ),
            cloud_memcache.ListInstancesResponse(
                resources=[cloud_memcache.Instance(), cloud_memcache.Instance()]
            ),
            RuntimeError,
        )
        pages = list(client.list_instances(request={}).pages)
        for page, token in zip(pages, ["abc", "def", "ghi", ""]):
            assert page.raw_page.next_page_token == token
def test_list_instances_pager():
    client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials)

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.list_instances), "__call__") as call:
        # Set the response to a series of pages.
        call.side_effect = (
            cloud_memcache.ListInstancesResponse(
                resources=[
                    cloud_memcache.Instance(),
                    cloud_memcache.Instance(),
                    cloud_memcache.Instance(),
                ],
                next_page_token="abc",
            ),
            cloud_memcache.ListInstancesResponse(resources=[], next_page_token="def"),
            cloud_memcache.ListInstancesResponse(
                resources=[cloud_memcache.Instance()], next_page_token="ghi"
            ),
            cloud_memcache.ListInstancesResponse(
                resources=[cloud_memcache.Instance(), cloud_memcache.Instance()]
            ),
            RuntimeError,
        )
        results = [i for i in client.list_instances(request={})]
        assert len(results) == 6
        assert all(isinstance(i, cloud_memcache.Instance) for i in results)
def test_list_instances(transport: str = "grpc"):
    client = CloudMemcacheClient(
        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 = cloud_memcache.ListInstancesRequest()

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.list_instances), "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = cloud_memcache.ListInstancesResponse(
            next_page_token="next_page_token_value", unreachable=["unreachable_value"]
        )

        response = client.list_instances(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.ListInstancesPager)
    assert response.next_page_token == "next_page_token_value"
    assert response.unreachable == ["unreachable_value"]
def test_list_instances_field_headers():
    client = CloudMemcacheClient(credentials=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 = cloud_memcache.ListInstancesRequest(parent="parent/value")

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.list_instances), "__call__") as call:
        call.return_value = cloud_memcache.ListInstancesResponse()
        client.list_instances(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", "parent=parent/value") in kw["metadata"]
def test_list_instances_flattened():
    client = CloudMemcacheClient(credentials=credentials.AnonymousCredentials())

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.list_instances), "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = cloud_memcache.ListInstancesResponse()

        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        response = client.list_instances(parent="parent_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].parent == "parent_value"