vincbeck opened a new pull request, #40563:
URL: https://github.com/apache/airflow/pull/40563
#40334 introduced a small bug where the error message is already formatted,
hence there is no need to pass parameters to `self._task_context_logger.error`.
That results in this error below:
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/logging/__init__.py", line 1100, in emit
msg = self.format(record)
File "/usr/local/lib/python3.10/logging/__init__.py", line 943, in format
return fmt.format(record)
File "/usr/local/lib/python3.10/logging/__init__.py", line 678, in format
record.message = record.getMessage()
File "/usr/local/lib/python3.10/logging/__init__.py", line 368, in
getMessage
msg = msg % self.args
TypeError: not all arguments converted during string formatting
Call stack:
File "/usr/local/bin/airflow", line 8, in <module>
sys.exit(main())
File "/opt/airflow/airflow/__main__.py", line 58, in main
args.func(args)
File "/opt/airflow/airflow/cli/cli_config.py", line 49, in command
return func(*args, **kwargs)
File "/opt/airflow/airflow/utils/cli.py", line 115, in wrapper
return f(*args, **kwargs)
File "/opt/airflow/airflow/utils/providers_configuration_loader.py", line
55, in wrapped_function
return func(*args, **kwargs)
File "/opt/airflow/airflow/cli/commands/scheduler_command.py", line 61, in
scheduler
run_command_with_daemon_option(
File "/opt/airflow/airflow/cli/commands/daemon_utils.py", line 86, in
run_command_with_daemon_option
callback()
File "/opt/airflow/airflow/cli/commands/scheduler_command.py", line 64, in
<lambda>
callback=lambda: _run_scheduler_job(args),
File "/opt/airflow/airflow/cli/commands/scheduler_command.py", line 50, in
_run_scheduler_job
run_job(job=job_runner.job, execute_callable=job_runner._execute)
File "/opt/airflow/airflow/utils/session.py", line 84, in wrapper
return func(*args, session=session, **kwargs)
File "/opt/airflow/airflow/jobs/job.py", line 410, in run_job
return execute_job(job, execute_callable=execute_callable)
File "/opt/airflow/airflow/jobs/job.py", line 439, in execute_job
ret = execute_callable()
File "/opt/airflow/airflow/jobs/scheduler_job_runner.py", line 859, in
_execute
self._run_scheduler_loop()
File "/opt/airflow/airflow/jobs/scheduler_job_runner.py", line 996, in
_run_scheduler_loop
num_finished_events = self._process_executor_events(session=session)
File "/opt/airflow/airflow/jobs/scheduler_job_runner.py", line 783, in
_process_executor_events
self._task_context_logger.error(msg, ti, state, ti.state, info, ti=ti)
File "/opt/airflow/airflow/utils/log/task_context_logger.py", line 170, in
error
self._log(logging.ERROR, msg, *args, ti=ti)
File "/opt/airflow/airflow/utils/log/task_context_logger.py", line 141, in
_log
task_handler.emit(record)
File "/opt/airflow/airflow/utils/log/file_task_handler.py", line 229, in
emit
self.handler.emit(record)
Message: "The executor reported that the task instance <TaskInstance:
example_hello.hello manual__2024-07-02T19:54:10.890354+00:00 [queued]> finished
with state failed, but the task instance's state attribute is queued. Learn
more:
https://airflow.apache.org/docs/apache-airflow/stable/troubleshooting.html#task-state-changed-externally"
Arguments: (<TaskInstance: example_hello.hello
manual__2024-07-02T19:54:10.890354+00:00 [queued]>, <TaskInstanceState.FAILED:
'failed'>, 'queued', None)
```
<!--
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.
-->
<!--
Thank you for contributing! Please make sure that your code changes
are covered with tests. And in case of new features or big changes
remember to adjust the documentation.
Feel free to ping committers for the review!
In case of an existing issue, reference it using one of the following:
closes: #ISSUE
related: #ISSUE
How to write a good git commit message:
http://chris.beams.io/posts/git-commit/
-->
<!-- Please keep an empty line above the dashes. -->
---
**^ Add meaningful description above**
Read the **[Pull Request
Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)**
for more information.
In case of fundamental code changes, an Airflow Improvement Proposal
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
is needed.
In case of a new dependency, check compliance with the [ASF 3rd Party
License Policy](https://www.apache.org/legal/resolved.html#category-x).
In case of backwards incompatible changes please leave a note in a
newsfragment file, named `{pr_number}.significant.rst` or
`{issue_number}.significant.rst`, in
[newsfragments](https://github.com/apache/airflow/tree/main/newsfragments).
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]