def test_get_model(self):
# Setup Expected Response
name_2 = "name2-1052831874"
display_name = "displayName1615086568"
dataset_id = "datasetId-2115646910"
expected_response = {
"name": name_2,
"display_name": display_name,
"dataset_id": dataset_id,
}
expected_response = model_pb2.Model(**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
name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
response = client.get_model(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.GetModelRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_get_model(self):
# Setup Expected Response
name_2 = 'name2-1052831874'
display_name = 'displayName1615086568'
dataset_id = 'datasetId-2115646910'
expected_response = {
'name': name_2,
'display_name': display_name,
'dataset_id': dataset_id
}
expected_response = model_pb2.Model(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = automl_v1beta1.AutoMlClient(channel=channel)
# Setup Request
name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
response = client.get_model(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.GetModelRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
