matthieuauger opened a new issue, #49790:
URL: https://github.com/apache/airflow/issues/49790
### Apache Airflow version
3.0.0
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
Hello, this is probably a configuration issue somewhere because I don't
think this could not work but this was functional with Airflow 2.8, not with
Airflow 3.0 and every documentation I find tell me that current behaviour is
not as expected. If this is something obvious, thanks and my apologies.
I have a really simple DAG with following configuration, schedule='@daily'
`@dag(
'example_dag',
schedule='@daily',
start_date=datetime(2025, 4, 23),
catchup=True,
)
def example_dag():
@task(task_id='no_op')
def no_op() -> List[Dict]:
logger = LoggingMixin().log
logger.info("no op")
dag = example_dag()
`
When I activate the DAG, there are 3 scheduled runs, as expected.

But data_interval_start is not set to Day-1 but to the same value that
data_interval_end. This is true for every run.



I tried to play with several configuration, changing to cron format,
removing catchup, etc but I always have same start and end execution date. Is
there something wrong with this configuration?
Here is detailled configuration for a run if that can help.
### What you think should happen instead?
If I put a DAG as daily and a run is scheduled, data_interval_start should
be N-1, or at least data_interval_start and data_interval_end should not be
equal
### How to reproduce
Use the same DAG
### Operating System
Docker
### Versions of Apache Airflow Providers
_No response_
### Deployment
Docker-Compose
### Deployment details
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [x] 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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