Lee-W commented on issue #41306:
URL: https://github.com/apache/airflow/issues/41306#issuecomment-2278149828
forget about making the method a task. that's wrong. something like the
following should work. you just need to rewrite `gen_kwargs` and use
`GlueJobOperator` instead
```python
from __future__ import annotations
from datetime import datetime
from airflow import DAG
from airflow.operators.python import PythonOperator
def print_args(x, y):
print(x)
print(y)
return x + y
def gen_kwargs():
return [
{"op_kwargs": {"x": 1, "y": 2}, "show_return_value_in_logs": True},
{"op_kwargs": {"x": 3, "y": 4}, "show_return_value_in_logs": False},
]
with DAG(dag_id="mapped_python", start_date=datetime(2020, 4, 7),
catchup=False) as dag:
PythonOperator.partial(task_id="task-1",
python_callable=print_args).expand_kwargs(gen_kwargs())
```
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