jrderuiter opened a new issue, #52932:
URL: https://github.com/apache/airflow/issues/52932
### Apache Airflow version
3.0.2
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
The docs state that you can use the `source_dag_run` attribute to fetch
information about a triggering DAG when using asset-aware scheduling. However,
when I try to do so, this attribute doesn't seem to exist in Airflow 3,
resulting in an error:
```
[2025-07-06, 10:52:29] ERROR - Task failed with exception: source="task"
AttributeError: 'AssetEventDagRunReferenceResult' object has no attribute
'source_dag_run'
```
### What you think should happen instead?
The given example in the docs should work. The `source_dag_run` attribute
should be available and provide access to the source DagRun instance.
### How to reproduce
Code to reproduce:
```
import pendulum
from airflow.providers.standard.operators.python import PythonOperator
from airflow.sdk import DAG, Asset
from airflow.sdk.execution_time.comms import AssetEventDagRunReferenceResult
from airflow.sdk.execution_time.context import TriggeringAssetEventsAccessor
dataset = Asset("/data/events")
with DAG(dag_id="example_producer", start_date=pendulum.today()):
PythonOperator(
task_id="produce",
python_callable=lambda **context: print("Produce!"),
outlets=[dataset],
)
def _print_context(triggering_asset_events: TriggeringAssetEventsAccessor):
result: AssetEventDagRunReferenceResult =
triggering_asset_events[dataset][0]
print(result.source_dag_run)
with DAG(dag_id="example_consumer", schedule=[dataset],
start_date=pendulum.today()):
PythonOperator(
task_id="print_context",
python_callable=_print_context,
outlets=[dataset],
)
```
### 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?
- [ ] 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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