dylanbstorey commented on issue #50202:
URL: https://github.com/apache/airflow/issues/50202#issuecomment-2855336139
Can i see the full stack trace ?
Based on what you’re describing though sounds like the DAG can’t be found
for import, instead of using dot notation, just use the raw function call.
```python
def listen_function(message):
val = json.loads(message.value().decode("utf-8”))
# Process the message here if needed
return val
with DAG(
dag_id="kafka_sensor_jira_dag",
start_date=datetime(2025, 3, 17),
schedule_interval=None, # This DAG runs continuously
catchup=False,
):
def trigger_downstream_dag(message, **context):
TriggerDagRunOperator(
trigger_dag_id="kafka_consumer_jira_dag",
task_id=f"kafka_sensor_jira{_generate_uuid()}",
).execute(context)
await_message_sensor = AwaitMessageTriggerFunctionSensor(
task_id="kafka_sensor_jira",
topics=[TOPIC_NAME],
apply_function=listen_function,
kafka_config_id="kafka_default_jira",
event_triggered_function=trigger_downstream_dag,
)
```
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