# Copyright 2023 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

from typing import Optional, Sequence

import unittest.mock as mock

import google.auth.credentials

import google.cloud.bigquery

import pytest

import bigframes

import bigframes.clients

import bigframes.core.ordering

import bigframes.dataframe

import bigframes.session.clients

import bigframes.session.executor

import bigframes.session.metrics

"""Utilities for creating test resources."""

TEST_SCHEMA = (google.cloud.bigquery.SchemaField("col", "INTEGER"),)

def create_bigquery_session(

bqclient: Optional[mock.Mock] = None,

session_id: str = "abcxyz",

table_schema: Sequence[google.cloud.bigquery.SchemaField] = TEST_SCHEMA,

anonymous_dataset: Optional[google.cloud.bigquery.DatasetReference] = None,

location: str = "test-region",

) -> bigframes.Session:

credentials = mock.create_autospec(

google.auth.credentials.Credentials, instance=True

)

if anonymous_dataset is None:

anonymous_dataset = google.cloud.bigquery.DatasetReference(

"test-project",

"test_dataset",

)

if bqclient is None:

bqclient = mock.create_autospec(google.cloud.bigquery.Client, instance=True)

bqclient.project = "test-project"

bqclient.location = location

# Mock the location.

table = mock.create_autospec(google.cloud.bigquery.Table, instance=True)

table._properties = {}

type(table).location = mock.PropertyMock(return_value=location)

type(table).schema = mock.PropertyMock(return_value=table_schema)

type(table).reference = mock.PropertyMock(

return_value=anonymous_dataset.table("test_table")

)

type(table).num_rows = mock.PropertyMock(return_value=1000000000)

bqclient.get_table.return_value = table

def query_mock(query, *args, **kwargs):

query_job = mock.create_autospec(google.cloud.bigquery.QueryJob)

type(query_job).destination = mock.PropertyMock(

return_value=anonymous_dataset.table("test_table"),

)

type(query_job).session_info = google.cloud.bigquery.SessionInfo(

{"sessionInfo": {"sessionId": session_id}},

)

if query.startswith("SELECT CURRENT_TIMESTAMP()"):

query_job.result = mock.MagicMock(return_value=[[datetime.datetime.now()]])

else:

type(query_job).schema = mock.PropertyMock(return_value=table_schema)

return query_job

existing_query_and_wait = bqclient.query_and_wait

def query_and_wait_mock(query, *args, **kwargs):

if query.startswith("SELECT CURRENT_TIMESTAMP()"):

return iter([[datetime.datetime.now()]])

else:

return existing_query_and_wait(query, *args, **kwargs)

bqclient.query = query_mock

bqclient.query_and_wait = query_and_wait_mock

clients_provider = mock.create_autospec(bigframes.session.clients.ClientsProvider)

type(clients_provider).bqclient = mock.PropertyMock(return_value=bqclient)

clients_provider._credentials = credentials

bqoptions = bigframes.BigQueryOptions(credentials=credentials, location=location)

session = bigframes.Session(context=bqoptions, clients_provider=clients_provider)

session._bq_connection_manager = mock.create_autospec(

bigframes.clients.BqConnectionManager, instance=True

)

return session

def create_dataframe(

monkeypatch: pytest.MonkeyPatch, session: Optional[bigframes.Session] = None

) -> bigframes.dataframe.DataFrame:

if session is None:

session = create_bigquery_session()

# Since this may create a ReadLocalNode, the session we explicitly pass in

# might not actually be used. Mock out the global session, too.

monkeypatch.setattr(bigframes.core.global_session, "_global_session", session)

bigframes.options.bigquery._session_started = True

return bigframes.dataframe.DataFrame({"col": []}, session=session)