[jira] [Commented] (AIRFLOW-5373) Super fast pre-commit check for basic python2 compatibility (for cherry-picking)

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AIRFLOW-5373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16920553#comment-16920553 ] 

ASF GitHub Bot commented on AIRFLOW-5373:
-----------------------------------------

potiuk commented on pull request #5979: [AIRFLOW-5373] Super fast pre-commit check for basic python2 compatib…
URL: https://github.com/apache/airflow/pull/5979
 
 
   …ility
   
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> Super fast pre-commit check for basic python2 compatibility (for cherry-picking)
> --------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-5373
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-5373
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: ci
>    Affects Versions: 1.10.5
>            Reporter: Jarek Potiuk
>            Assignee: Jarek Potiuk
>            Priority: Major
>         Attachments: matches_python3.txt
>
>
> I thought about a super-fast way of protecting against bad python3 cherry-picks in our v1-10-test branch. From the experience, it looks like we have two types of problems most often:
>  # super()
>  # python3 type annotations in definition of function parameters/return values
>  # python3 type annotations in variables
> I tried to find some good "proper" solution to check automatically if the code is python2-compliant but surprisingly could not find anything fast and good (actually there are plenty of python3 compat checkers and auto-converters but I could not find good verification is some python3 constructs are used in python2 code).
> However it came to me that we can likely do a simple grep that should be able to catch vast majority of those case with very limited (if at all) false positives. It turned out to be a good idea for 1 and 2 (which is vast majority of cases I think) :
> Such simple and straigthforward regexp does the work beautifully:
>  
> {code:java}
> ".super\\(\\)|^\\s+def\\s*\\S*\\([^):]*:.*\\)|^\\sdef\\s*\\S*\\(.*\\):\\s*\\-\\>\\s*\\S*" 
> {code}
> I managed to find two actual problems (but the code was in comments so no impact ! )- Python3 incompatibilitites in v1-10-test this way (!!!). In master we have 830 matching lines (attached) so I think it's rather good.
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