superset/tests/integration_tests/reports/alert_tests.py

120 lines
3.7 KiB
Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
# pylint: disable=invalid-name, unused-argument, import-outside-toplevel
import pandas as pd
from pytest_mock import MockFixture
def test_execute_query_succeeded_no_retry(
mocker: MockFixture, app_context: None
) -> None:
from superset.reports.commands.alert import AlertCommand
execute_query_mock = mocker.patch(
"superset.reports.commands.alert.AlertCommand._execute_query",
side_effect=lambda: pd.DataFrame([{"sample_col": 0}]),
)
command = AlertCommand(report_schedule=mocker.Mock())
command.validate()
assert execute_query_mock.call_count == 1
def test_execute_query_succeeded_with_retries(
mocker: MockFixture, app_context: None
) -> None:
from superset.reports.commands.alert import AlertCommand, AlertQueryError
execute_query_mock = mocker.patch(
"superset.reports.commands.alert.AlertCommand._execute_query"
)
query_executed_count = 0
# Should match the value defined in superset_test_config.py
expected_max_retries = 3
def _mocked_execute_query() -> pd.DataFrame:
nonlocal query_executed_count
query_executed_count += 1
if query_executed_count < expected_max_retries:
raise AlertQueryError()
else:
return pd.DataFrame([{"sample_col": 0}])
execute_query_mock.side_effect = _mocked_execute_query
execute_query_mock.__name__ = "mocked_execute_query"
command = AlertCommand(report_schedule=mocker.Mock())
command.validate()
assert execute_query_mock.call_count == expected_max_retries
def test_execute_query_failed_no_retry(mocker: MockFixture, app_context: None) -> None:
from superset.reports.commands.alert import AlertCommand, AlertQueryTimeout
execute_query_mock = mocker.patch(
"superset.reports.commands.alert.AlertCommand._execute_query"
)
def _mocked_execute_query() -> None:
raise AlertQueryTimeout
execute_query_mock.side_effect = _mocked_execute_query
execute_query_mock.__name__ = "mocked_execute_query"
command = AlertCommand(report_schedule=mocker.Mock())
try:
command.validate()
except AlertQueryTimeout:
pass
assert execute_query_mock.call_count == 1
def test_execute_query_failed_max_retries(
mocker: MockFixture, app_context: None
) -> None:
from superset.reports.commands.alert import AlertCommand, AlertQueryError
execute_query_mock = mocker.patch(
"superset.reports.commands.alert.AlertCommand._execute_query"
)
def _mocked_execute_query() -> None:
raise AlertQueryError
execute_query_mock.side_effect = _mocked_execute_query
execute_query_mock.__name__ = "mocked_execute_query"
command = AlertCommand(report_schedule=mocker.Mock())
try:
command.validate()
except AlertQueryError:
pass
# Should match the value defined in superset_test_config.py
assert execute_query_mock.call_count == 3