JupyterLab services is for use in the browser, that’s what JupyterLab uses
to talk to these APIs. If you are already in the existing pre-Lab notebook
and want to run code on the current kernel, the API you are after is:
Jupyter.notebook.kernel.execute("some code", callbacks)
-MinRK
On Fri, Nov 11, 2016 at 4:19 PM, Christopher Brooks <brook...@umich.edu>
wrote:
> Hi,
>
> I'm trying to do a bit of rapid prototyping of a jupyter javascript
> extension which invokes services against a python kernel. The docs take
> some serious time, but what I've groked is that there are a set of REST-based
> services
> <http://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/notebook/master/notebook/services/api/api.yaml#/sessions>
> which I call, but it seems like these services do not allow me to push code
> to the kernel, just identify which kernels and sessions are available. It
> seems instead that once I have identified a kernel, I can use this wire
> protocol <https://jupyter-client.readthedocs.io/en/latest/messaging.html>
> for interaction with the kernel. However, I'm unclear which endpoint to
> push messages to and feel like there must be a browser-based Javascript
> library available for this purpose. COMMs caught my eye, but again, it
> seems like it should be more straight forward to push some python strings
> to a kernel and observe the results. The JupyterLab Services
> <https://github.com/jupyterlab/services> looked promising, but it's all
> Node.jsified, which makes me think this is the wrong tree to bark down.
>
> Maybe someone could give me a gentle nudge in the right direction?
>
> (I sort of expected something as trivial as an IPython.Notebook.execute("
> somecode")....)
>
> Regards,
>
> Chris
>
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