amoghrajesh opened a new pull request, #45030:
URL: https://github.com/apache/airflow/pull/45030
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While trying to run an e2e example of a task that defers and then launches a
trigger:
```
from airflow import DAG
from airflow.providers.standard.sensors.date_time import DateTimeSensorAsync
from airflow.utils import timezone
import datetime
with DAG(
dag_id="demo_deferred",
schedule=None,
catchup=False,
) as dag:
DateTimeSensorAsync(
task_id="async",
target_time=str(timezone.utcnow() +
datetime.timedelta(seconds=3)),
poke_interval=60,
timeout=600,
)
```
I realised that the "moment" inside "trigger_kwargs" is of
`pendulum.DateTime` type, and since we have a "dict[str, ANY]`, defined here:
https://github.com/apache/airflow/blob/main/airflow/api_fastapi/execution_api/datamodels/taskinstance.py#L82
on its datamodel (we cant really have a `UtcDateTime` for one specific
field, like we do
[here](https://github.com/apache/airflow/blob/main/airflow/api_fastapi/execution_api/datamodels/taskinstance.py#L57C15-L57C26)),
it fails to match the type defined in the `Trigger` table which is datetime.
So, I have added a "before" validator that checks for the type being string
and if it is a string, translates it to a datetime object.
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