kgw7401 opened a new pull request, #53357:
URL: https://github.com/apache/airflow/pull/53357
<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
<!--
Thank you for contributing! Please make sure that your code changes
are covered with tests. And in case of new features or big changes
remember to adjust the documentation.
Feel free to ping committers for the review!
In case of an existing issue, reference it using one of the following:
closes: #ISSUE
related: #ISSUE
How to write a good git commit message:
http://chris.beams.io/posts/git-commit/
-->
<!-- Please keep an empty line above the dashes. -->
---
closes: #52932
# problem brief
The issue said that docs provide an example of triggering_asset_events,
which refers to the `source_dag_run` that can be used.
I also found that, too. Here is the docs
[link](https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/asset-scheduling.html#fetching-information-from-a-triggering-asset-event)
But when using `source_dag_run`, no attribute error raised
After reviewing the code, I found that source_dag_run is not implemented in
AssetEventDagRunReferenceResult.
# How do I implement
AssetEventDagRunReference that is inherited by
AssetEventDagRunReferenceResult doesn't have information about dag run. So I
implemented it using the supervisor to directly retrieve the dagrun.
Here is the code what i implemented.
```python
class AssetEventDagRunReferenceResult(AssetEventDagRunReference):
@classmethod
def from_asset_event_dag_run_reference(
cls,
asset_event_dag_run_reference: AssetEventDagRunReference,
) -> AssetEventDagRunReferenceResult:
return
cls(**asset_event_dag_run_reference.model_dump(exclude_defaults=True))
....
@cached_property
def source_dag_run(self) -> AssetEventSourceDagRun | None:
if not (self.source_dag_id and self.source_run_id):
return None
# Use the supervisor to get the DagRun information via API
from airflow.sdk.execution_time.task_runner import SUPERVISOR_COMMS
try:
# Send request to supervisor to get DagRun information
dag_run_response = SUPERVISOR_COMMS.send(
GetDagRun(dag_id=self.source_dag_id,
run_id=self.source_run_id)
)
if dag_run_response is None:
return None
# Type guard to ensure we have a DagRunResult
if not isinstance(dag_run_response, DagRunResult):
return None
# Check for required fields and provide defaults for optional
datetime fields
if (
dag_run_response.start_date is None
or dag_run_response.data_interval_start is None
or dag_run_response.data_interval_end is None
):
return None
return AssetEventSourceDagRun(
dag_id=dag_run_response.dag_id,
run_id=dag_run_response.run_id,
logical_date=dag_run_response.logical_date,
start_date=dag_run_response.start_date,
end_date=dag_run_response.end_date,
state=dag_run_response.state,
data_interval_start=dag_run_response.data_interval_start,
data_interval_end=dag_run_response.data_interval_end,
)
except Exception:
# If the API call fails, return None
return None
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]