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# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from unittest import mock
import pytest
import google.cloud.bigquery.client
import google.cloud.bigquery.dataset
def make_connection(*responses):
import google.cloud.bigquery._http
from google.cloud.exceptions import NotFound
mock_conn = mock.create_autospec(google.cloud.bigquery._http.Connection)
mock_conn.user_agent = "testing 1.2.3"
mock_conn.api_request.side_effect = list(responses) + [NotFound("miss")]
mock_conn.API_BASE_URL = "https://bigquery.googleapis.com"
mock_conn.get_api_base_url_for_mtls = mock.Mock(return_value=mock_conn.API_BASE_URL)
return mock_conn
def _to_pyarrow(value):
"""Convert Python value to pyarrow value."""
import pyarrow
return pyarrow.array([value])[0]
def make_client(project="PROJECT", **kw):
credentials = mock.Mock(spec=google.auth.credentials.Credentials)
return google.cloud.bigquery.client.Client(project, credentials, **kw)
def make_creds(creds_universe: None):
from google.auth import credentials
class TestingCreds(credentials.Credentials):
def refresh(self, request): # pragma: NO COVER
raise NotImplementedError
@property
def universe_domain(self):
return creds_universe
return TestingCreds()
def make_dataset_reference_string(project, ds_id):
return f"{project}.{ds_id}"
def make_dataset(project, ds_id):
return google.cloud.bigquery.dataset.Dataset(
google.cloud.bigquery.dataset.DatasetReference(project, ds_id)
)
def make_dataset_list_item(project, ds_id):
return google.cloud.bigquery.dataset.DatasetListItem(
dict(datasetReference=dict(projectId=project, datasetId=ds_id))
)
def identity(x):
return x
def get_reference(x):
return x.reference
dataset_like = [
(google.cloud.bigquery.dataset.DatasetReference, identity),
(make_dataset, identity),
(make_dataset_list_item, get_reference),
(
make_dataset_reference_string,
google.cloud.bigquery.dataset.DatasetReference.from_string,
),
]
dataset_polymorphic = pytest.mark.parametrize(
"make_dataset,get_reference", dataset_like
)
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