kaxil opened a new pull request, #55809:
URL: https://github.com/apache/airflow/pull/55809

   Resolves circular import that occurs when KubernetesExecutor is dynamically 
loaded during Airflow startup. The issue manifests as 'cannot import name from 
partially initialized module' errors during scheduler/triggerer initialization.
   
   Root cause: The import chain executor → version_compat → BaseOperator → 
taskinstance → sentry → executor creates a circular dependency when sentry is 
enabled, as sentry initialization attempts to load the executor while it's 
already being imported.
   
   Changes:
   - Remove BaseOperator and BaseSensorOperator from version_compat.py 
module-level imports
   - Add conditional imports directly in operator/sensor files that need these 
classes
   - Maintain compatibility across Airflow 2.x and 3.x versions
   
   This prevents the circular import by breaking the chain at version_compat, 
ensuring sentry initialization doesn't trigger recursive executor loading.
   
   Files affected:
   - version_compat.py: Removed BaseOperator/BaseSensorOperator imports
   - operators/job.py: Added conditional BaseOperator import
   - operators/kueue.py: Added conditional BaseOperator import
   - operators/pod.py: Added conditional BaseOperator import
   - operators/resource.py: Added conditional BaseOperator import
   - sensors/spark_kubernetes.py: Added conditional BaseSensorOperator import
   
   Fixes #55803
   
   <!--
    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 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/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]

Reply via email to