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# Copyright 2021 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
#
# https://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 pathlib
import random
import re
from typing import Tuple
import pytest
import test_utils.prefixer
from google.cloud import bigquery
from google.cloud.bigquery import enums
from . import helpers
prefixer = test_utils.prefixer.Prefixer("python-bigquery", "tests/system")
DATA_DIR = pathlib.Path(__file__).parent.parent / "data"
TOKYO_LOCATION = "asia-northeast1"
@pytest.fixture(scope="session", autouse=True)
def cleanup_datasets(bigquery_client: bigquery.Client):
for dataset in bigquery_client.list_datasets():
if prefixer.should_cleanup(dataset.dataset_id):
bigquery_client.delete_dataset(
dataset, delete_contents=True, not_found_ok=True
)
@pytest.fixture(scope="session")
def bigquery_client():
return bigquery.Client()
@pytest.fixture(scope="session")
def project_id(bigquery_client: bigquery.Client):
return bigquery_client.project
@pytest.fixture(scope="session")
def bqstorage_client(bigquery_client):
from google.cloud import bigquery_storage
return bigquery_storage.BigQueryReadClient(credentials=bigquery_client._credentials)
@pytest.fixture(scope="session")
def dataset_id(bigquery_client):
dataset_id = prefixer.create_prefix()
bigquery_client.create_dataset(dataset_id)
yield dataset_id
bigquery_client.delete_dataset(dataset_id, delete_contents=True, not_found_ok=True)
@pytest.fixture(scope="session")
def dataset_id_tokyo(bigquery_client: bigquery.Client, project_id: str):
dataset_id = prefixer.create_prefix() + "_tokyo"
dataset = bigquery.Dataset(f"{project_id}.{dataset_id}")
dataset.location = TOKYO_LOCATION
bigquery_client.create_dataset(dataset)
yield dataset_id
bigquery_client.delete_dataset(dataset_id, delete_contents=True, not_found_ok=True)
@pytest.fixture()
def dataset_client(bigquery_client, dataset_id):
import google.cloud.bigquery.job
return bigquery.Client(
default_query_job_config=google.cloud.bigquery.job.QueryJobConfig(
default_dataset=f"{bigquery_client.project}.{dataset_id}",
)
)
@pytest.fixture
def table_id(dataset_id):
return f"{dataset_id}.table_{helpers.temp_suffix()}"
def load_scalars_table(
bigquery_client: bigquery.Client,
project_id: str,
dataset_id: str,
data_path: str = "scalars.jsonl",
source_format=enums.SourceFormat.NEWLINE_DELIMITED_JSON,
schema_source="scalars_schema.json",
) -> str:
schema = bigquery_client.schema_from_json(DATA_DIR / schema_source)
table_id = data_path.replace(".", "_") + hex(random.randrange(1000000))
job_config = bigquery.LoadJobConfig()
job_config.schema = schema
job_config.source_format = source_format
full_table_id = f"{project_id}.{dataset_id}.{table_id}"
with open(DATA_DIR / data_path, "rb") as data_file:
job = bigquery_client.load_table_from_file(
data_file, full_table_id, job_config=job_config
)
job.result()
return full_table_id
@pytest.fixture(scope="session")
def scalars_table(bigquery_client: bigquery.Client, project_id: str, dataset_id: str):
full_table_id = load_scalars_table(bigquery_client, project_id, dataset_id)
yield full_table_id
bigquery_client.delete_table(full_table_id, not_found_ok=True)
@pytest.fixture(scope="session")
def scalars_table_tokyo(
bigquery_client: bigquery.Client, project_id: str, dataset_id_tokyo: str
):
full_table_id = load_scalars_table(bigquery_client, project_id, dataset_id_tokyo)
yield full_table_id
bigquery_client.delete_table(full_table_id, not_found_ok=True)
@pytest.fixture(scope="session")
def scalars_extreme_table(
bigquery_client: bigquery.Client, project_id: str, dataset_id: str
):
full_table_id = load_scalars_table(
bigquery_client, project_id, dataset_id, data_path="scalars_extreme.jsonl"
)
yield full_table_id
bigquery_client.delete_table(full_table_id, not_found_ok=True)
@pytest.fixture(scope="session", params=["US", TOKYO_LOCATION])
def scalars_table_multi_location(
request, scalars_table: str, scalars_table_tokyo: str
) -> Tuple[str, str]:
if request.param == "US":
full_table_id = scalars_table
elif request.param == TOKYO_LOCATION:
full_table_id = scalars_table_tokyo
else:
raise ValueError(f"got unexpected location: {request.param}")
return request.param, full_table_id
@pytest.fixture(scope="session")
def scalars_table_csv(
bigquery_client: bigquery.Client, project_id: str, dataset_id: str
):
full_table_id = load_scalars_table(
bigquery_client,
project_id,
dataset_id,
data_path="scalars.csv",
source_format=enums.SourceFormat.CSV,
schema_source="scalars_schema_csv.json",
)
yield full_table_id
bigquery_client.delete_table(full_table_id, not_found_ok=True)
@pytest.fixture
def test_table_name(request, replace_non_anum=re.compile(r"[^a-zA-Z0-9_]").sub):
return replace_non_anum("_", request.node.name)
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