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Posted to commits@airflow.apache.org by "Ash Berlin-Taylor (JIRA)" <ji...@apache.org> on 2019/07/15 11:41:00 UTC

[jira] [Resolved] (AIRFLOW-4903) Unpinned Flask version causes dependency conflicts

     [ https://issues.apache.org/jira/browse/AIRFLOW-4903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ash Berlin-Taylor resolved AIRFLOW-4903.
----------------------------------------
    Resolution: Duplicate

> Unpinned Flask version causes dependency conflicts
> --------------------------------------------------
>
>                 Key: AIRFLOW-4903
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-4903
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: dependencies
>    Affects Versions: 1.10.3
>            Reporter: Michael
>            Priority: Major
>
> Background: Our build process includes a Dockerfile which installs a specific Airflow version, in our case 1.10.3. When running Airflow jobs, we have a python package with its own requirements.txt.
> Yesterday (July 4, 2019), Flask released 1.1.0, which upgraded its own dependencies, which caused dependency conflicts with our python package and its requirements.txt, as we saw this when starting Airflow:
>  
> {{ModuleNotFoundError: No module named 'werkzeug.wrappers.json'; 'werkzeug.wrappers' is not a package}}
>  
> And inspecting the pip install logs shows:
>  
> {{ERROR: flask 1.1.0 has requirement Jinja2>=2.10.1, but you'll have jinja2 2.9.6 which is incompatible.}}
> {{ERROR: flask 1.1.0 has requirement Werkzeug>=0.15, but you'll have werkzeug 0.14.1 which is incompatible.}}
>  
> *Workaround:* In our Dockerfile we added a "RUN pip install Flask==1.0.3" command to downgrade to the previous Flask version which fixed the issue.
>  
> *Suggested fix:* Explicitly pin versions of dependencies in setup.py rather than use version ranges.
>  
>  



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