run_custom_code is painfully slow about ipyniivue HOT 5 CLOSED

So, a deeper issue is the transparency of JS errors from Python side. This should cause a timeout exception on Python side so that the user knows what is happening.

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Let me wrap this also in this issue to avoid creating another issue just for that: The run_custom_code also seems to fail to return values. Printing is_pial in this example currently gives me None. With fixing this, we should add a test for pytest that avoids code regression on that. This is a fairly simple test to add.

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Thank you for bringing this up. run_custom_code does not work online Jupyter environments, such as Google Colab, due to the way online Jupyter handles concurrent execution. See Kirill888/jupyter-ui-poll#23 (comment) for more info.

Concerning ipyniivue, we can either add note to the documentation specifying that run_custom_code (and therefore all getters that use run_custom_code) do not work in online Jupyter environments.
Alternatively, we could explore implementing some solution that runs in online Jupyter environments. Currently, I don't know of any ways to do this.

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What is the difference between local and "online" Jupyter environments exactly? The issue you referred to seems to make a difference between ipykernel (works) and jupyterlite (does not work). I may be mistaken but I did not see any clear restrictions (except in the version maybe) for ipykernel on the Colab...? Also, jupyter-ui-poll seems to work on Colab (Kirill888/jupyter-ui-poll#18). It seems like there was some issues with ipykernel 4.x, which was the default for Colab at the time the ticket was created, but the current version is now 5.5.6.

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I see, I think I was confused with JupyterLite and Google Colab, and just assumed they used the same kernel. I'll have to do more testing to see if I can get run_custom_code to work in Colab then.
The reason it takes at most 60 seconds to run the run_custom_code function is because it times out at 60 seconds.

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