<@ULVA73B9P> I am running a prefect server locally...
# marvin-in-the-wild
g
@Marvin I am running a prefect server locally. • Usually after
prefect server start
• I run:
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prefect worker start --pool "local-work-pool"
Discovered type 'process' for work pool 'local-work-pool'.
Worker 'ProcessWorker fb4480cc-9198-4495-ade7-028a60e786b6' started!
• Normally more than those to lines of messages from the process are shown. • Yet when I hover over "local-work-pool" I see a red-point - and get the message: "Work pool does not have any online workers ready to execute work." which results in flow-runs beeing late. • When clicking on local-work-pool (http://127.0.0.1:4200/work-pools/work-pool/local-work-pool?tab=Runs) I am again prompted to run
prefect worker start --pool "local-work-pool
m
Your issue is likely related to the worker not sending regular heartbeat messages to the Prefect API. Here are a few steps to troubleshoot the problem: 1. Check Worker Heartbeats: Workers are considered online if they send heartbeat messages to the Prefect API regularly. If a worker misses three heartbeats, it is considered offline. Ensure that your worker is running and able to send these heartbeats. You can check the PREFECT_WORKER_HEARTBEAT_SECONDS setting for configuration. 2. API URL and Keys: Ensure the PREFECT_API_URL and PREFECT_API_KEY are correctly set in the environment where your worker is running. The Prefect worker needs these settings to communicate with the Prefect server. 3. Worker Logs: Check the logs of the worker process for any errors or issues that might be causing it to fail or stop sending heartbeats. 4. Restart Worker: Try restarting the worker manually using the command:
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prefect worker start --pool "local-work-pool"
5. Pool Status: The work pool should be in the READY state, which indicates that at least one worker is online. Ensure no configurations or scheduled automations are placing the pool in a paused state. For further details, you can refer to the Prefect documentation on work pools and workers. If these steps do not resolve your issue, please provide more details or consult the Prefect GitHub issues for potential bug reports or additional troubleshooting steps.
It appears there isn't a direct match for your specific issue in the GitHub issues, but based on the previous investigation and the typical considerations for worker connectivity, here are a few additional troubleshooting steps specifically for your scenario: 1. Check Environment Variables: Ensure the PREFECT_API_URL and PREFECT_API_KEY environment variables are correctly configured and accessible in the environment where the worker is started. 2. Inspect Worker Logs: Since you mentioned that the usual detailed message output is not shown, inspect the worker logs for any error messages or warnings that might indicate why the worker is not maintaining heartbeat communication. 3. Network Configuration: Verify your local network or firewall settings to ensure there is no restriction on communication between the worker and the Prefect server. 4. Server Logs: Check the Prefect server logs for any errors or warnings related to worker registration or heartbeat reception. 5. Worker Configuration: Ensure the worker configuration is correct and matches the expected parameters for the
local-work-pool
. 6. Prefect Version: Make sure you are running the latest version of Prefect. You can verify and upgrade Prefect using:
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pip install --upgrade prefect
For the latest version information, refer here or use the latest version topic function. If the issue persists and you haven't found a related issue on GitHub, consider opening a new GitHub issue with details about your configuration and the specific problem. Here is a related concept on work pools and Prefect workers for additional reference.
g
@Marvin In the same environment I was also logged in to the prefect cloud. After logging out starting the worker in the work pool worked and it was active
m
It seems the issue was related to being logged into both the Prefect Cloud and the local server simultaneously. This conflict might have caused the worker to connect to the wrong server or fail to authenticate properly. In the future, ensure to: 1. Log out of Prefect Cloud if you are working with a local Prefect server:
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prefect cloud logout
2. Verify API URL and Keys to ensure they point to your local Prefect server and not the cloud:
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export PREFECT_API_URL=<http://127.0.0.1:4200/api>
3. Start the Worker after confirming you're logged out of the Prefect Cloud:
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prefect worker start --pool "local-work-pool"
I'm glad to hear the issue is resolved! For more information on Prefect configuration, you can refer to the Prefect documentation. If you encounter further issues, don’t hesitate to reach out. For future reference, here is the Prefect Cloud logout documentation.