sudarshan2906 opened a new issue, #37842:
URL: https://github.com/apache/airflow/issues/37842
### Apache Airflow version
2.8.2
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
I am using a very simple dag which has schedule set has @hourly. Scheduler
is not scheduling it and giving error in logs.
```
import datetime
from airflow import DAG
from airflow.operators.empty import EmptyOperator
my_dag = DAG(
dag_id="my_dag_name",
start_date=datetime.datetime(2021, 1, 1),
schedule="@hourly",
)
EmptyOperator(task_id="task", dag=my_dag)
```
Error in log:
```
ERROR [airflow.models.dag.DAG] Failed to fetch run info after data interval
DataInterval(start=DateTime(2024, 3, 2, 0, 0, 0, tzinfo=Timezone('UTC')),
end=DateTime(2024, 3, 2, 1, 0, 0, tzinfo=Timezone('UTC'))) for DAG 'my_dag_name'
Traceback (most recent call last):
File "/usr/local/lib/python3.11/site-packages/airflow/models/dag.py", line
1032, in next_dagrun_info
info = self.timetable.next_dagrun_info(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/usr/local/lib/python3.11/site-packages/airflow/timetables/interval.py", line
90, in next_dagrun_info
earliest = self._skip_to_latest(earliest)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/usr/local/lib/python3.11/site-packages/airflow/timetables/interval.py", line
157, in _skip_to_latest
raise AssertionError("next schedule shouldn't be earlier")
```
If I set catchup_by_default to True or change the schedule to more than an
hour it works fine.
### What you think should happen instead?
_No response_
### How to reproduce
NA
### Operating System
Debian GNU/Linux 11 (bullseye)
### Versions of Apache Airflow Providers
_No response_
### Deployment
Other Docker-based deployment
### Deployment details
Using a custom docker image. Airflow configuration:
* Executor: Celery
* Database: Postgresql 14
* Docker base image: python:3.11-bullseye
### 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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