Adam
06/28/2025, 8:52 PMrun_deployment
sometimes keep having flow status "Running" when it's not running?Marvin
06/28/2025, 8:52 PMMarvin
06/28/2025, 8:53 PMpython
from prefect import flow
@flow(timeout_seconds=3600) # Set a reasonable timeout
def your_flow():
try:
# Your flow code here
pass
except Exception as e:
# Log the error and raise it to ensure proper state transition
raise
3. Use Infrastructure Timeouts:
- Configure appropriate timeouts for your infrastructure
- For Kubernetes, set resource limits and timeouts
- For Docker, consider setting container timeouts
4. Manual Cleanup:
If you encounter a stuck flow run, you can:
- Use the Prefect UI to mark the flow run as failed
- Use the Prefect CLI: prefect flow-run cancel <flow-run-id>
- Check for and clean up any orphaned infrastructure
To prevent this in the future:
1. Always implement proper error handling in your flows
2. Set appropriate timeouts both at the flow level and infrastructure level
3. Monitor your worker health and infrastructure resources
4. Ensure your network connectivity is stable between workers and the Prefect API
For more details on flow states and troubleshooting, you can refer to:
- Prefect States Documentation
- How to Run Flows Guide