def test_create_topic_flattened_error():
client = PublisherClient(credentials=credentials.AnonymousCredentials(), )
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_topic(
pubsub.Topic(),
name='name_value',
)
def test_create_topic(transport: str = 'grpc'):
client = PublisherClient(
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 = pubsub.Topic()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client._transport.create_topic),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = pubsub.Topic(
name='name_value',
kms_key_name='kms_key_name_value',
)
response = client.create_topic(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, pubsub.Topic)
assert response.name == 'name_value'
assert response.kms_key_name == 'kms_key_name_value'
def test_create_topic_flattened():
client = PublisherClient(credentials=credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client._transport.create_topic),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = pubsub.Topic()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = client.create_topic(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'