def test_get_model_evaluation(self):
# Setup Expected Response
name_2 = 'name2-1052831874'
annotation_spec_id = 'annotationSpecId60690191'
display_name = 'displayName1615086568'
evaluated_example_count = 277565350
expected_response = {
'name': name_2,
'annotation_spec_id': annotation_spec_id,
'display_name': display_name,
'evaluated_example_count': evaluated_example_count
}
expected_response = model_evaluation_pb2.ModelEvaluation(
**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_evaluation_path('[PROJECT]', '[LOCATION]',
'[MODEL]', '[MODEL_EVALUATION]')
response = client.get_model_evaluation(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.GetModelEvaluationRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_get_model_evaluation(self):
# Setup Expected Response
name_2 = "name2-1052831874"
annotation_spec_id = "annotationSpecId60690191"
display_name = "displayName1615086568"
evaluated_example_count = 277565350
expected_response = {
"name": name_2,
"annotation_spec_id": annotation_spec_id,
"display_name": display_name,
"evaluated_example_count": evaluated_example_count,
}
expected_response = model_evaluation_pb2.ModelEvaluation(**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_evaluation_path(
"[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"
)
response = client.get_model_evaluation(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.GetModelEvaluationRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_get_model_evaluation(self):
# Setup Expected Response
name_2 = 'name2-1052831874'
annotation_spec_id = 'annotationSpecId60690191'
evaluated_example_count = 277565350
expected_response = {
'name': name_2,
'annotation_spec_id': annotation_spec_id,
'evaluated_example_count': evaluated_example_count
}
expected_response = model_evaluation_pb2.ModelEvaluation(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = automl_v1beta1.AutoMlClient(channel=channel)
# Setup Request
name = client.model_evaluation_path('[PROJECT]', '[LOCATION]',
'[MODEL]', '[MODEL_EVALUATION]')
response = client.get_model_evaluation(name)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.GetModelEvaluationRequest(name=name)
actual_request = channel.requests[0][1]
assert expected_request == actual_request