def test_list_model_evaluations(self):
# Setup Expected Response
next_page_token = ""
model_evaluation_element = {}
model_evaluation = [model_evaluation_element]
expected_response = {
"next_page_token": next_page_token,
"model_evaluation": model_evaluation,
}
expected_response = service_pb2.ListModelEvaluationsResponse(
**expected_response
)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = automl_v1beta1.AutoMlClient()
# Setup Request
parent = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
paged_list_response = client.list_model_evaluations(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.model_evaluation[0] == resources[0]
assert len(channel.requests) == 1
expected_request = service_pb2.ListModelEvaluationsRequest(parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_list_model_evaluations(self):
# Setup Expected Response
next_page_token = ''
model_evaluation_element = {}
model_evaluation = [model_evaluation_element]
expected_response = {
'next_page_token': next_page_token,
'model_evaluation': model_evaluation
}
expected_response = service_pb2.ListModelEvaluationsResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = automl_v1beta1.AutoMlClient(channel=channel)
# Setup Request
parent = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
paged_list_response = client.list_model_evaluations(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.model_evaluation[0] == resources[0]
assert len(channel.requests) == 1
expected_request = service_pb2.ListModelEvaluationsRequest(
parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
