You can pass parameters from the CLI using --conf '{"key":"value"}'
and then use it in the DAG file as "{{ dag_run.conf["key"] }}"
in templated field.
CLI:
airflow trigger_dag 'example_dag_conf' -r 'run_id' --conf '{"message":"value"}'
DAG File:
args = {
'start_date': datetime.utcnow(),
'owner': 'airflow',
}
dag = DAG(
dag_id='example_dag_conf',
default_args=args,
schedule_interval=None,
)
def run_this_func(ds, **kwargs):
print("Remotely received value of {} for key=message".
format(kwargs['dag_run'].conf['message']))
run_this = PythonOperator(
task_id='run_this',
provide_context=True,
python_callable=run_this_func,
dag=dag,
)
# You can also access the DagRun object in templates
bash_task = BashOperator(
task_id="bash_task",
bash_command='echo "Here is the message: '
'{{ dag_run.conf["message"] if dag_run else "" }}" ',
dag=dag,
)