fjmacagno opened a new issue, #40103:
URL: https://github.com/apache/airflow/issues/40103
### Apache Airflow Provider(s)
amazon
### Versions of Apache Airflow Providers
apache-airflow-providers-amazon==8.23.0
### Apache Airflow version
2.9.1
### Operating System
Debian GNU/Linux 11 (bullseye)
### Deployment
Astronomer
### Deployment details
_No response_
### What happened
We get the dag load error
```
Broken DAG:
[/usr/local/airflow/dags/governance/scrub/parquet/parquet_scrub.py] Traceback
(most recent call last):
File
"/usr/local/lib/python3.10/site-packages/airflow/providers/amazon/aws/operators/emr.py",
line 1321, in operator_extra_links
if operator_class.is_monitoring_in_job_override(
File
"/usr/local/lib/python3.10/site-packages/airflow/providers/amazon/aws/operators/emr.py",
line 1535, in is_monitoring_in_job_override
monitoring_config = (job_override or {}).get("monitoringConfiguration")
AttributeError: 'PlainXComArg' object has no attribute 'get'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File
"/usr/local/lib/python3.10/site-packages/airflow/serialization/serialized_objects.py",
line 1540, in to_dict
json_dict = {"__version": cls.SERIALIZER_VERSION, "dag":
cls.serialize_dag(var)}
File
"/usr/local/lib/python3.10/site-packages/airflow/serialization/serialized_objects.py",
line 1453, in serialize_dag
raise SerializationError(f"Failed to serialize DAG {dag.dag_id!r}: {e}")
airflow.exceptions.SerializationError: Failed to serialize DAG
'parquet-scrub': 'PlainXComArg' object has no attribute 'get'
```
### What you think should happen instead
It shouldn't error, and we should see the operator links in the UI.
### How to reproduce
Pass an XCom result into the `configuration_overrides` parameter of the
EmrServerlessStartJobOperator.
### Anything else
Happens every time, issue just appears to be that the link function is
called before templating is rendered.
### 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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