juneyoung opened a new issue, #28676:
URL: https://github.com/apache/airflow/issues/28676
### Apache Airflow version
Other Airflow 2 version (please specify below)
### What happened
I passed variable via web UI, than access with dag_run.conf.
ValueError occurs when I strptime with passed value.
I can get passed value if I do not try to parsing.
``` python
from airflow import DAG
import pendulum
from pendulum import datetime
from datetime import timedelta
from airflow.models.param import Param
with DAG(
dag_id='test_dateparse',
description='Date parse',
schedule_interval=None,
catchup=False,
dagrun_timeout=timedelta(minutes=30),
start_date=datetime(2022, 9, 1, tz="Asia/Seoul"),
params={"hour": Param("2099123123", type='string')},
tags=['report'],
) as dag:
target_hour = "{{ dag_run.conf.hour }}" # ex)2023010215
try:
# datetime.strptime(str(target_hour), "%Y%m%d%H")
pendulum.from_format(target_hour, "YYYYMMDDHH")
except ValueError as x:
# both case you recieve ValueError like below
# error: String does not match format YYYYMMDDHH, when value is
value: 2099123123, type: <class 'str'>
...
```
But it works well in IDE python console...
``` python
test_val = '2023010215'
pendulum.from_format(test_val, 'YYYYMMDDHH')
# DateTime(2023, 1, 2, 15, 0, 0, tzinfo=Timezone('UTC'))
datetime.datetime.strptime(test_val, '%Y%m%d%H')
# datetime.datetime(2023, 1, 2, 15, 0)
```
### What you think should happen instead
`datetime.datetime.strptime` or `pendulum.from_format` should work same as
local execution.
### How to reproduce
You can add OP's code and in UI, run with trigger with params like
``` javascript
{
"hour": "2022010215"
}
```
### Operating System
NAME="Ubuntu" VERSION="20.04.3 LTS (Focal Fossa)" ID=ubuntu ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.3 LTS" VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"; SUPPORT_URL="https://help.ubuntu.com/";
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/";
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy";
VERSION_CODENAME=focal UBUNTU_CODENAME=focal
### Versions of Apache Airflow Providers
airflow == 2.3.0
pendulum == 2.1.2
### Deployment
Docker-Compose
### Deployment details
_No response_
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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