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', 'AUTOML')
        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', 'AUTOML')
        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', 'AUTOML')
        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', 'AUTOML')
        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', 'AUTOML')
        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', 'AUTOML')
        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', '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"))

    def test_monkeypatching_idempotent(self):
        env = EnvironmentVarGuard()
        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
        with env:
            client1 = automl.AutoMlClient.__init__
            init_automl()
            client2 = automl.AutoMlClient.__init__
            self.assertEqual(client1, client2)