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conftest.py
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/
conftest.py
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# Copyright 2020 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.
import datetime
import random
from google.cloud import bigquery
import pytest
RESOURCE_PREFIX = "python_bigquery_samples_snippets"
def resource_prefix() -> str:
timestamp = datetime.datetime.utcnow().strftime("%Y%m%d_%H%M%S")
random_string = hex(random.randrange(1000000))[2:]
return f"{RESOURCE_PREFIX}_{timestamp}_{random_string}"
@pytest.fixture(scope="session", autouse=True)
def cleanup_datasets(bigquery_client: bigquery.Client):
yesterday = datetime.datetime.utcnow() - datetime.timedelta(days=1)
for dataset in bigquery_client.list_datasets():
if (
dataset.dataset_id.startswith(RESOURCE_PREFIX)
and dataset.created < yesterday
):
bigquery_client.delete_dataset(
dataset, delete_contents=True, not_found_ok=True
)
@pytest.fixture(scope="session")
def bigquery_client():
bigquery_client = bigquery.Client()
return bigquery_client
@pytest.fixture(scope="session")
def project_id(bigquery_client):
return bigquery_client.project
@pytest.fixture(scope="session")
def dataset_id(bigquery_client: bigquery.Client, project_id: str):
dataset_id = resource_prefix()
full_dataset_id = f"{project_id}.{dataset_id}"
dataset = bigquery.Dataset(full_dataset_id)
bigquery_client.create_dataset(dataset)
yield dataset_id
bigquery_client.delete_dataset(dataset, delete_contents=True, not_found_ok=True)
@pytest.fixture
def bigquery_client_patch(monkeypatch, bigquery_client):
monkeypatch.setattr(bigquery, "Client", lambda: bigquery_client)