def test_get_instance_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.get_instance(cloud_memcache.GetInstanceRequest(), name="name_value")
def test_get_instance_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.GetInstanceRequest(name="name/value")

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.get_instance), "__call__") as call:
        call.return_value = cloud_memcache.Instance()
        client.get_instance(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", "name=name/value") in kw["metadata"]
def test_get_instance_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.get_instance), "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = cloud_memcache.Instance()

        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        response = client.get_instance(name="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].name == "name_value"
def test_get_instance(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.GetInstanceRequest()

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client._transport.get_instance), "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = cloud_memcache.Instance(
            name="name_value",
            display_name="display_name_value",
            authorized_network="authorized_network_value",
            zones=["zones_value"],
            node_count=1070,
            memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5,
            state=cloud_memcache.Instance.State.CREATING,
            memcache_full_version="memcache_full_version_value",
            discovery_endpoint="discovery_endpoint_value",
        )

        response = client.get_instance(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, cloud_memcache.Instance)
    assert response.name == "name_value"
    assert response.display_name == "display_name_value"
    assert response.authorized_network == "authorized_network_value"
    assert response.zones == ["zones_value"]
    assert response.node_count == 1070
    assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5
    assert response.state == cloud_memcache.Instance.State.CREATING
    assert response.memcache_full_version == "memcache_full_version_value"
    assert response.discovery_endpoint == "discovery_endpoint_value"