[GitHub] [airflow] Limess edited a comment on issue #13149: Failure during "airflow db init" on fresh airflow 2.0 installation

[GitBox <gi...@apache.org>]

Limess edited a comment on issue #13149:
URL: https://github.com/apache/airflow/issues/13149#issuecomment-754152996


   We started using poetry to build an airflow docker image, but have since moved to the official image to try to minimize incompatibilities and haven't gone away from the tool.
   
   I think the main reasons are:
   * reasonably sane virtualenv management if you set it up correctly with pyenv
   * easy to just do a `poetry install` after which IDE tools work pretty well if you keep the poetry deps file up to date. We've had horrible issues with setup with raw requirements across other python projects, and we're not a python shop so it's not a strong skillset
   * we have a monorepo with a [dbt](https://github.com/fishtown-analytics/dbt) project, and several small libraries (mainly [singer](singer.io/) taps/targets) which we install directly in virtualenvs and use poetry to manage deps so it's consistent


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