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Serve logs with Scheduler when using Local or Sequential Executor (ap…
…ache#15557) Currently, the `serve_logs` endpoint only exists on Celery workers. This means if someone launches Airflow with the `LocalExecutor` and wants to grab the logs from the scheduler, there is no way to move that to the webserver if it is on a different pod/machine. This commit makes the scheduler automatically serves logs when using `LocalExecutor` or `SequentialExecutor`. However, it means for Airflow <= 2.0.2, the Helm Chart won't serve logs. closes apache#15070 closes apache#13331 closes apache#15071 closes apache#14222
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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. | ||
import unittest | ||
from unittest import mock | ||
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from parameterized import parameterized | ||
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||
from airflow.cli import cli_parser | ||
from airflow.cli.commands import scheduler_command | ||
from airflow.utils.serve_logs import serve_logs | ||
from tests.test_utils.config import conf_vars | ||
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class TestSchedulerCommand(unittest.TestCase): | ||
@classmethod | ||
def setUpClass(cls): | ||
cls.parser = cli_parser.get_parser() | ||
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@parameterized.expand( | ||
[ | ||
("CeleryExecutor", False), | ||
("LocalExecutor", True), | ||
("SequentialExecutor", True), | ||
("KubernetesExecutor", False), | ||
] | ||
) | ||
@mock.patch("airflow.cli.commands.scheduler_command.SchedulerJob") | ||
@mock.patch("airflow.cli.commands.scheduler_command.Process") | ||
def test_serve_logs_on_scheduler( | ||
self, | ||
executor, | ||
expect_serve_logs, | ||
mock_process, | ||
mock_scheduler_job, | ||
): | ||
args = self.parser.parse_args(['scheduler']) | ||
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||
with conf_vars({("core", "executor"): executor}): | ||
scheduler_command.scheduler(args) | ||
if expect_serve_logs: | ||
mock_process.assert_called_once_with(target=serve_logs) | ||
else: | ||
mock_process.assert_not_called() | ||
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||
@parameterized.expand( | ||
[ | ||
("LocalExecutor",), | ||
("SequentialExecutor",), | ||
] | ||
) | ||
@mock.patch("airflow.cli.commands.scheduler_command.SchedulerJob") | ||
@mock.patch("airflow.cli.commands.scheduler_command.Process") | ||
def test_skip_serve_logs(self, executor, mock_process, mock_scheduler_job): | ||
args = self.parser.parse_args(['scheduler', '--skip-serve-logs']) | ||
with conf_vars({("core", "executor"): executor}): | ||
scheduler_command.scheduler(args) | ||
mock_process.assert_not_called() |