You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "Kaxil Naik (Jira)" <ji...@apache.org> on 2019/12/13 00:38:00 UTC
[jira] [Reopened] (AIRFLOW-5808) DAG timezones given as
datetime.timezone cause odd errors.
[ https://issues.apache.org/jira/browse/AIRFLOW-5808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kaxil Naik reopened AIRFLOW-5808:
---------------------------------
> DAG timezones given as datetime.timezone cause odd errors.
> ----------------------------------------------------------
>
> Key: AIRFLOW-5808
> URL: https://issues.apache.org/jira/browse/AIRFLOW-5808
> Project: Apache Airflow
> Issue Type: Bug
> Components: DAG
> Affects Versions: 1.10.5
> Reporter: Ash Berlin-Taylor
> Priority: Minor
> Fix For: 1.10.7
>
>
> The airflow docs mention that you should use Pendulum timezones, but we don't enforce this, and the stdlib timezone is mostly, but not entirely API compatible with this.
> For instance if you create your DAG like this:
> {code:python}
> from airflow import DAG
> from datetime import datetime, timedelta, timezone
> dag = DAG('my_dag', start_date=datetime(2019, 2, 6, hour=0, tzinfo=timezone(timedelta(0), name='UTC'))
> {code}
> It will _mostly_ work, except this will break the Tooltip generation in the graph page as it expects a pendulm.timezone.
> To make everything predictable in Airflow the DAG constructor should convert non-pendulum timezones when it encounters them.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)