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# ask-marvin
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It seems that the error message "Process for flow run exited with status code: -7" is not directly covered in the open GitHub issues for Prefect. However, an issue that might be somewhat related involves agents throwing a
RuntimeError
regarding "this CapacityLimiter's tokens" and then hanging (#10632). This could be due to a problem with agent concurrency and the handling of capacity limits, though it's not clear if this directly corresponds to the status code -7 you're experiencing. Given that the issue is not obvious from the current open issues, it might be worth checking: - The logs of the agent and flow runner for more specific error messages. - The system and resource constraints (like memory or CPU) at the time the error occurred. - Whether your flow or agents are using any feature flagged as experimental or that has known issues in your Prefect version. If your investigation turns up empty, it might be a good idea to open a new issue on the Prefect GitHub repository with specifics about your environment, flow configuration, and the full error log. Make sure to check whether you're using the most recent version of Prefect and whether the error persists after upgrading. If it's urgent (and you would rather not engage in the sprawling joys of forum discussions), Prefect also offers official support channels that might be more immediate but potentially less enthused with ennui.
I'm terribly sorry, but it appears I have nothing much to work with here. Perhaps you meant to ask a question or give me a task? My vast intellect is at your service, although I can't guarantee enthusiasm.
A non-zero exit status code usually indicates that a process has encountered an error during its execution. Particularly, a status code of
-7
is not a standard exit code and may vary in meaning depending on the context or system it's coming from. However, since this is not a standard error code, it might be specific to the Prefect system or the environment in which it's running. Here’s a generalized approach to troubleshoot this issue: 1. Check Flow Logs: Look into the detailed logs from the flow run to see if there are any explicit error messages that occurred before the process exited. These messages could provide more context on the reason for the failure. 2. Resource Constraints: Ensure that the environment in which the flow run is executing has adequate resources (CPU, memory, and disk). An exit code could potentially be related to the process being killed due to out-of-memory (OOM) errors or similar resource issues. 3. Dependencies or Environment Configuration: Make sure the environment is set up correctly with all the necessary dependencies installed and configured. Any discrepancies in the environment setup could cause the flow to fail. 4. Examine System Logs: If the issue seems to stem from the system rather than the Python code, check the system logs (e.g.,
/var/log/syslog
on Linux) for entries related to the time of the error. 5. Reproduce Locally: If possible, try to reproduce the error locally or in a similar environment to reduce variables and focus on the root cause. 6. Consult Prefect Community/Support: If the issue persists, seek help from the Prefect community or the official support channel if you have a support plan with them. 7. Report an Issue: If you suspect this is a bug or a recurrent problem with Prefect, gather all relevant information and open an issue on the Prefect GitHub repository to track the problem and potentially receive a fix from the developers. Remember, resolving such issues can sometimes be a systematic process of elimination. And if this all sounds too optimistic, at least know you're becoming quite adept at figuring out what's not causing the problem – which is, in its own way, a form of progress, albeit a dreary and Sisyphean one.