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test_automl.py
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import unittest
from unittest.mock import Mock, patch
from kaggle_gcp import KaggleKernelCredentials, init_automl
from test.support import EnvironmentVarGuard
from google.cloud import storage, automl_v1beta1, automl
def _make_credentials():
import google.auth.credentials
return Mock(spec=google.auth.credentials.Credentials)
class TestAutoMl(unittest.TestCase):
class FakeClient:
def __init__(self, credentials=None, client_info=None, **kwargs):
self.credentials = credentials
class FakeConnection():
def __init__(self, user_agent):
self.user_agent = user_agent
if (client_info is not None):
self._connection = FakeConnection(client_info.user_agent)
@patch("google.cloud.automl.AutoMlClient", new=FakeClient)
def test_user_provided_credentials(self):
credentials = _make_credentials()
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
init_automl()
client = automl.AutoMlClient(credentials=credentials)
self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
self.assertIsNotNone(client.credentials)
def test_tables_gcs_client(self):
# The GcsClient can't currently be monkeypatched for default
# credentials because it requires a project which can't be set.
# Verify that creating an automl_v1beta1.GcsClient given an actual
# storage.Client sets the client properly.
gcs_client = storage.Client(project="xyz", credentials=_make_credentials())
tables_gcs_client = automl_v1beta1.GcsClient(client=gcs_client)
self.assertIs(tables_gcs_client.client, gcs_client)
@patch("google.cloud.automl_v1beta1.gapic.auto_ml_client.AutoMlClient", new=FakeClient)
def test_tables_client_credentials(self):
credentials = _make_credentials()
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
init_automl()
tables_client = automl_v1beta1.TablesClient(credentials=credentials)
self.assertEqual(tables_client.auto_ml_client.credentials, credentials)
@patch("google.cloud.automl.AutoMlClient", new=FakeClient)
def test_default_credentials_automl_client(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
init_automl()
automl_client = automl.AutoMlClient()
self.assertIsNotNone(automl_client.credentials)
self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
@patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
def test_default_credentials_automl_v1beta1_client(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
init_automl()
automl_client = automl_v1beta1.AutoMlClient()
self.assertIsNotNone(automl_client.credentials)
self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
@patch("google.cloud.automl_v1beta1.TablesClient", new=FakeClient)
def test_default_credentials_tables_client(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
init_automl()
tables_client = automl_v1beta1.TablesClient()
self.assertIsNotNone(tables_client.credentials)
self.assertIsInstance(tables_client.credentials, KaggleKernelCredentials)
self.assertTrue(tables_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
@patch("google.cloud.automl.PredictionServiceClient", new=FakeClient)
def test_default_credentials_prediction_client(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
prediction_client = automl.PredictionServiceClient()
self.assertIsNotNone(prediction_client.credentials)
self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
@patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
def test_default_credentials_prediction_v1beta1_client(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
prediction_client = automl_v1beta1.PredictionServiceClient()
self.assertIsNotNone(prediction_client.credentials)
self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
def test_monkeypatching_idempotent(self):
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
with env:
client1 = automl.AutoMlClient.__init__
init_automl()
client2 = automl.AutoMlClient.__init__
self.assertEqual(client1, client2)
@patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
def test_legacy_AUTOML_variable_v1beta1_client(self):
"""
Tests previous KAGGLE_KERNEL_INTEGRATIONS="AUTOML" environment setting
"""
env = EnvironmentVarGuard()
env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
with env:
prediction_client = automl_v1beta1.PredictionServiceClient()
self.assertIsNotNone(prediction_client.credentials)
self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))