ipython / ipython/ipykernel

Blocking cell execution waiting for Widget interaction

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Beschreibung

Hi all,

I am interested in blocking further cell execution in a Jupyter notebook until some sort of widget interaction has occurred. For instance, letting a user perform a "cell -> run all" command, then displaying a dropdown widget in one cell, and blocking in the next cell until the user has selected an option from that dropdown list.

In a regular notebook setup, widget changes (`comm_msg` over zeromq) won't be picked up by the kernel because it's blocking until the cell is completely executed. If an [Asynchronous Loop](https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20Asynchronous.html) is involved, then all cells will be executed (from the "cell -> run all") command immediately if they aren't written in an async fashion.

One option is to override the `kernel.shell_handlers` functions to 'capture' the `execute_request` messages coming in on the stream while letting the `comm_msg` events go through, then to 'replay' the `execute_request` messages after the fact. If I go with that pattern ([example](https://github.com/kafonek/widget_demos/blob/master/captured%20kernel%20events.ipynb), how do I make the output show up in the output cells for the original input cells instead of all in a single cell where the 'replay' happens?

A second option is to have the `ipykernel` listen for `execute_request` and `comm_*` events on different streams. There's been discussion of that idea (@dsblank @AlexTugarev https://github.com/ipython/ipykernel/issues/65, @jasongrout https://github.com/jupyter/jupyter_client/issues/285), but it doesn't look like the issue has moved forward. I don't understand the entire front-end/back-end system to know how significant that change would be. Is this issue a non-starter (https://github.com/ipython/ipykernel/pull/302)?

Thanks.

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Rechercherichtung

Start by reading the referenced asynchronous-loop example, the kernel.shell_handlers entry point, and the discussions in ipykernel issue 65 and jupyter_client issue 285. Compare the proposed execute_request and comm_* handling approaches, including PR 302, and establish whether blocking execution while preserving output in the original cells is feasible.

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Bewertung

Tech-Stack
jupyter, python
Bereich
api, backend, distributed-systems
Issue-Typ
Feature
Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Aktivitätsstatus
Veraltet
Klarheit
Muss geklärt werden
Anfängerfreundlichkeit
25/100

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