potiuk commented on a change in pull request #22501:
URL: https://github.com/apache/airflow/pull/22501#discussion_r834228206
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File path: airflow/providers/google/cloud/operators/gcs.py
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@@ -740,19 +740,19 @@ def execute(self, context: "Context") -> List[str]:
try:
timespan_start = context["data_interval_start"]
timespan_end = context["data_interval_end"]
- except KeyError: # Data interval context variables are only available
in Airflow 2.2+
- timespan_start =
timezone.coerce_datetime(context["execution_date"])
- timespan_end =
timezone.coerce_datetime(context["dag"].following_schedule(timespan_start))
+ except KeyError:
+ timespan_start = context["execution_date"]
Review comment:
should not we actually check and convert "potential" dt.timetime to
pendulum.DateTime here and below ? that's what corce_datetime did actually.
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