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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2021/06/28 14:47:51 UTC
[GitHub] [airflow] ecerulm commented on a change in pull request #16678: WIP: Solve timezone serialization by adding a schedule_timezone parameter to DAG
ecerulm commented on a change in pull request #16678:
URL: https://github.com/apache/airflow/pull/16678#discussion_r659855128
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File path: airflow/models/dag.py
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@@ -302,16 +304,20 @@ def __init__(
self.fileloc = back.f_code.co_filename if back else ""
self.task_dict: Dict[str, BaseOperator] = {}
- # set timezone from start_date
+ # set timezone from schedule_timezone or start_date
+ if schedule_timezone:
+ self.schedule_timezone = self._get_tzname_or_offset(schedule_timezone)
Review comment:
I don't think we really want to check that the `start_date` time zone matches the `schedule_timezone`. That's why I wanted to introduce `schedule_timezone` to avoid having to rely on inferring things from `start_date.tzinfo`.
There is no problem to specify the `start_date` in one timezone, the `end_date` in another timezone, and have yet another timezone for the `schedule_timezone`. I can see people (myself included) using iso 8601 string like `2021-06-01T12:00:00+01:00` for `start_date` and `schedule_timezone='Europe/Stockholm'`
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