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Scheduler does not appear after installing #377
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Thank you for opening your first issue in this project! Engagement like this is essential for open source projects! 🤗 |
@njuhl76 Thanks for opening this issue! How did you install What do you see when you run the following two commands?
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thank you for your answer! Here are my results:(base) jupyter@p-beat-ai--nils-juhl--notebook:~$ jupyter server extension list Config dir: /opt/conda/etc/jupyter Config dir: /usr/local/etc/jupyter (base) jupyter@p-beat-ai--nils-juhl--notebook:~$ jupyter labextension list Jupyter: Interactive Computing positional arguments: optional arguments: Available subcommands: bundlerextension dejavu execute kernel kernelspec migrate nbclassic nbconvert nbextension notebook run server serverextension troubleshoot trust Jupyter command |
The error when you run |
Per your results, it looks like JupyterLab is not installed. Are you sure you're running JupyterLab, or are you using Jupyter Notebook instead? The scheduler requires JupyterLab, not Notebook or other apps. |
Thanks for the update! When you rerun the following two commands, do you see any errors?
In addition, when you run To help other users and developers find this issue, it would be best if you pasted in your output and error messages as code blocks (surrounded by three backticks ` on a line by themselves) instead of as screen shots. This helps GitHub's search indexer. Thanks again. |
I don't see any errors at step 1 & 2 but I see errors when I run
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Do you have any idea, how to deal with these errors @JasonWeill ? |
@njuhl76 I don't see any actionable errors in the log above, and I have not tried to use Jupyter Scheduler on Google Compute Engine. (I also work for AWS, a competitor of Google Cloud.) |
@njuhl76 Hi Nils, we don't have access to GCP, so unfortunately, we're not able to reproduce your issue. From the data you've posted, it is apparent that the Jupyter Scheduler extension is being successfully initialized; this can be seen from the log line:
However, it also looks like you are spawning two JupyterLab servers. This is apparent because port 8080 is already in use:
My guess is that you are actually spawning two JupyterLab servers, one at To list available Conda environments:
To switch to a new Conda environment:
It looks like GCP Deep Learning VM has all Jupyter-related packages in a separate Conda environment. See here: Reference: https://cloud.google.com/deep-learning-vm/docs/release-notes Since this issue appears to be specifically related to GCP's Conda environments and not Jupyter Scheduler itself, I will close the issue. |
Thank you for these insightful comments @dlqqq ! |
Description
After installing the actual version of jupyter_scheduler the Sceduler button does not appear:
The installation of jupyter-scheduler went through without errors.
Reproduce
Expected behavior
The button should appear like this:
Context
Operating System and version:
Browser and version: Google Chrome Version 113.0.5672.127
Jupyter Server version: Version 3.4.8
Troubleshoot Output
Command Line Output
Browser Output
The text was updated successfully, but these errors were encountered: