vatsrahul1001 opened a new issue, #44473:
URL: https://github.com/apache/airflow/issues/44473
### Apache Airflow version
main (development)
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
During AIP-65 testing, we observed that using dynamic dates in DAG
parameters leads to the continuous creation of multiple DAG versions. This
behavior can cause clutter dag_version table.
### What you think should happen instead?
Ideally, dynamic dates should not be used in DAG parameters. To address
this, we can add a Ruff rule to identify and prevent the use of dynamic dates
in DAG params, ensuring better practices and avoiding unnecessary version
proliferation.
### How to reproduce
1. Use the below DAG.
```
from airflow.decorators import dag, task
from datetime import datetime, timedelta
import pendulum
from airflow.models.param import Param
default_args = {
"owner": "airflow",
"retries": 1,
"retry_delay": timedelta(minutes=1),
}
@dag(description="Create and read a file", schedule='@daily', catchup=False,
tags=['Atul_Practice11'], start_date=datetime(2024, 1,
1),default_args=default_args, params={
"clean_before_timestamp": Param(
default=(datetime.now(tz=pendulum.UTC) -
timedelta(days=90)).isoformat(),
type="string",
format="date-time",
description="Delete records older than this timestamp. Default
is 90 days ago.",
)})
def check_dag_retry():
@task
def read_file():
pass
read_file()
check_dag_retry()
```
2. Check DAG Version table
### Operating System
Linux
### Versions of Apache Airflow Providers
_No response_
### Deployment
Other
### 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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