The error message you're seeing typically indicates that a Prefect flow run was executed using an infrastructure that did not complete successfully, exiting with a non-zero status code. In your specific case, it mentions a "container exited with an error {Error Code:1}," which usually suggests that the task running inside the container encountered an issue or crashed.
Here are some common reasons that might cause a container to exit with a non-zero status code:
1.
Application Error: There might be an issue in the code or application logic you're running inside the container. This could be a bug, an unhandled exception, or a logical error that causes the program to terminate unexpectedly.
2.
Resource Constraints: The container might have run out of memory or other resources, leading to its termination.
3.
Configuration Issues: Incorrect configuration or missing dependencies could lead to failure when the application inside the container attempts to execute.
4.
Network Issues: If your flow involves network calls, connectivity problems might cause a failure.
5.
Permissions: The task might not have the necessary permissions to access certain resources or perform specific actions.
I will search for more relevant information regarding this error in the Prefect documentation, which may provide additional context or solutions based on the Prefect version you're using. Please hold on for a moment.
It seems like the specific issue of "flow run infrastructure exited with non-zero status code" leading to "The container exited with an error {Error Code:1}" is not directly detailed in either the Prefect 2.x or 3.x documentation I searched. However, such errors often relate to issues with the execution environment or the code running within it, as mentioned earlier.
### General Troubleshooting Steps:
1.
Check Application Logs: Examine the logs for the flow run and the specific task to see if there are any additional error messages or stack traces that can give more details on what went wrong.
2.
Resource Allocation: Ensure the container has sufficient CPU and memory resources allocated, as resource exhaustion could lead to a termination with an error.
3.
Dependencies and Configuration: Verify all required dependencies are installed in the container, and configuration parameters are set correctly. Misconfigurations or missing dependencies often result in runtime errors.
4.
Network and Permissions: Make sure that the container has the necessary network permissions and routes to access any external services it may depend on.
5.
Simplify and Isolate: Try simplifying the code within the task to determine if specific parts are causing the exit and testing these in isolation if possible.
6.
Prefect Community Resources: Consider searching the Prefect Community Discourse or Stack Overflow for similar issues, as others might have encountered and resolved the same problem.
If these steps do not resolve the issue, seeking more specific guidance with detailed logs or error messages in the Prefect community forums or GitHub discussions can be beneficial.
You can explore more troubleshooting resources for Prefect 2.x
here and for Prefect 3.x
here.
If you have the option, providing more detailed logs or information would allow for more targeted help.