uranusjr commented on issue #28535:
URL: https://github.com/apache/airflow/issues/28535#issuecomment-1369456393
I simplified the DAG to this bare minimum and it ran fine for me:
```python
from datetime import datetime
from airflow.decorators import task
from airflow.models import DAG, BaseOperator
class CustomOperator(BaseOperator):
def __init__(self, task_id, app_task_id, **kwargs):
super(CustomOperator, self).__init__(task_id=task_id, **kwargs)
self._app_task_id = app_task_id
def execute(self, context):
pass
@task
def get_tasks_by_tag():
return [f"task_{i}" for i in range(3)]
with DAG(dag_id="custom_expand", schedule=None, start_date=datetime(2023, 1,
1)) as dag:
CustomOperator.partial(task_id='start_task').expand(app_task_id=get_tasks_by_tag())
```
It would be awesome if you could simplify the code a bit to help identify
what part exactly is causing your DAG to malfunction. As far as I can tell, the
expansion logic does not seem to be the issue.
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