def test_get_model(self):
# Setup Expected Response
name_2 = "name2-1052831874"
display_name = "displayName1615086568"
dataset_id = "datasetId-2115646910"
etag = "etag3123477"
expected_response = {
"name": name_2,
"display_name": display_name,
"dataset_id": dataset_id,
"etag": etag,
}
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_v1.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_update_model(self):
# Setup Expected Response
name = "name3373707"
display_name = "displayName1615086568"
dataset_id = "datasetId-2115646910"
etag = "etag3123477"
expected_response = {
"name": name,
"display_name": display_name,
"dataset_id": dataset_id,
"etag": etag,
}
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_v1.AutoMlClient()
# Setup Request
model = {}
update_mask = {}
response = client.update_model(model, update_mask)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = service_pb2.UpdateModelRequest(
model=model, update_mask=update_mask
)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_create_model(self):
# Setup Expected Response
name = "name3373707"
display_name = "displayName1615086568"
dataset_id = "datasetId-2115646910"
expected_response = {
"name": name,
"display_name": display_name,
"dataset_id": dataset_id,
}
expected_response = model_pb2.Model(**expected_response)
operation = operations_pb2.Operation(
name="operations/test_create_model", done=True
)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = automl_v1.AutoMlClient()
# Setup Request
parent = client.location_path("[PROJECT]", "[LOCATION]")
model = {}
response = client.create_model(parent, model)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = service_pb2.CreateModelRequest(parent=parent, model=model)
actual_request = channel.requests[0][1]
assert expected_request == actual_request