Vander
08/05/2025, 5:30 PMMarvin
08/05/2025, 5:30 PMMarvin
08/05/2025, 5:32 PMpython
from prefect import flow, get_run_logger
@flow
def your_flow():
logger = get_run_logger()
<http://logger.info|logger.info>("Starting flow execution...")
# Add more logging statements at key points
b. Check the container logs for more detailed error messages:
- If using Docker: docker logs <container_id>
- If using Kubernetes: kubectl logs <pod_name>
4. Infrastructure Verification:
- Ensure your infrastructure block is properly configured
- Verify network connectivity if your flow requires it
- Check resource limits (memory, CPU) are sufficient
To help diagnose this more specifically, it would be helpful if you could provide:
1. The flow code that's failing
2. Your infrastructure configuration
3. Any additional error messages from the container logs
Would you be able to share any of these details? This would help me provide more targeted solutions for your specific case.
Also, if you're using Kubernetes or another specific infrastructure, please let me know as there might be platform-specific considerations to address.Vander
08/05/2025, 5:33 PMMarvin
08/05/2025, 5:34 PMMarvin
08/05/2025, 5:34 PMbash
prefect work-pool inspect <your-work-pool-name>
Then, you can preview the work pool configuration to see how it would be deployed:
bash
prefect work-pool preview <your-work-pool-name>
To help you more specifically, could you please share:
1. What type of managed work pool are you using? (e.g., Kubernetes, Docker)
2. The work pool configuration you're using
3. The exact error message from the logs
This would help me provide more targeted solutions for your specific case.
Also, if you're using a custom container image, make sure to verify:
1. The base image is compatible with your infrastructure
2. All required dependencies are included
3. The entry point or command is properly configured
Would you be able to share any of these details to help narrow down the specific cause of the exit code 2?