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fix(embedded): Retry when executing alert queries to avoid sending tr…
…ansient errors to users as alert failure notifications
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Rui Zhao
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Jul 5, 2022
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# 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 | ||
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import pandas as pd | ||
from pytest_mock import MockFixture | ||
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def test_execute_query_succeeded_no_retry( | ||
mocker: MockFixture, app_context: None | ||
) -> None: | ||
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from superset.reports.commands.alert import AlertCommand | ||
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execute_query_mock = mocker.patch( | ||
"superset.reports.commands.alert.AlertCommand._execute_query", | ||
side_effect=lambda: pd.DataFrame([{"sample_col": 0}]), | ||
) | ||
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command = AlertCommand(report_schedule=mocker.Mock()) | ||
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command.validate() | ||
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assert execute_query_mock.call_count == 1 | ||
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def test_execute_query_succeeded_with_retries( | ||
mocker: MockFixture, app_context: None | ||
) -> None: | ||
from superset.reports.commands.alert import AlertCommand, AlertQueryError | ||
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execute_query_mock = mocker.patch( | ||
"superset.reports.commands.alert.AlertCommand._execute_query" | ||
) | ||
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query_executed_count = 0 | ||
# Should match the value defined in superset_test_config.py | ||
expected_max_retries = 3 | ||
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def _mocked_execute_query() -> pd.DataFrame: | ||
nonlocal query_executed_count | ||
query_executed_count += 1 | ||
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if query_executed_count < expected_max_retries: | ||
raise AlertQueryError() | ||
else: | ||
return pd.DataFrame([{"sample_col": 0}]) | ||
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execute_query_mock.side_effect = _mocked_execute_query | ||
execute_query_mock.__name__ = "mocked_execute_query" | ||
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command = AlertCommand(report_schedule=mocker.Mock()) | ||
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command.validate() | ||
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assert execute_query_mock.call_count == expected_max_retries | ||
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def test_execute_query_failed_no_retry(mocker: MockFixture, app_context: None) -> None: | ||
from superset.reports.commands.alert import AlertCommand, AlertQueryTimeout | ||
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execute_query_mock = mocker.patch( | ||
"superset.reports.commands.alert.AlertCommand._execute_query" | ||
) | ||
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def _mocked_execute_query() -> None: | ||
raise AlertQueryTimeout | ||
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execute_query_mock.side_effect = _mocked_execute_query | ||
execute_query_mock.__name__ = "mocked_execute_query" | ||
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command = AlertCommand(report_schedule=mocker.Mock()) | ||
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try: | ||
command.validate() | ||
except AlertQueryTimeout: | ||
pass | ||
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assert execute_query_mock.call_count == 1 | ||
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def test_execute_query_failed_max_retries( | ||
mocker: MockFixture, app_context: None | ||
) -> None: | ||
from superset.reports.commands.alert import AlertCommand, AlertQueryError | ||
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execute_query_mock = mocker.patch( | ||
"superset.reports.commands.alert.AlertCommand._execute_query" | ||
) | ||
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def _mocked_execute_query() -> None: | ||
raise AlertQueryError | ||
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execute_query_mock.side_effect = _mocked_execute_query | ||
execute_query_mock.__name__ = "mocked_execute_query" | ||
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command = AlertCommand(report_schedule=mocker.Mock()) | ||
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try: | ||
command.validate() | ||
except AlertQueryError: | ||
pass | ||
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# Should match the value defined in superset_test_config.py | ||
assert execute_query_mock.call_count == 3 |
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