Thank you, Matthias.
This was very helpful. I didn't understand that I didn't have to launch a
separate server instance.
I also figured out a couple things:
When you use the `conda install` route a file is created to tell jupyter
what extensions to enable. This file is located here:
/anaconda/etc/jupyter/jupyter_notebook_config.json
However, we are configuring our Docker image to have a root user and a less
privileged user. This means that our existing jupyter_notebook_config.json
is located here for our intended Jupyter/Notebook user:
/home/non_root_user/.jupyter/jupyter_notebook_config.json
So, if you use conda to install jupyterlab (without any allowances for
updating the proper/user Notebook config file) it will essentially be
misconfigured.
So to solve this I used the following in my Docker file:
USER ${NOT_ROOT_USER}
RUN pip install jupyterlab==${jupyter_lab_version}
# Install extensions and kernels - as non root user
USER ${NOT_ROOT_USER}
RUN jupyter serverextension enable --py jupyterlab *--user* # not
--sys-prefix
Notice that this deviates from the official Jupyterlab README
<https://github.com/jupyterlab/jupyterlab/blob/master/README.md> in so far
as I don't use "--sys-prefix" (I can't easily find the documents to explain
what --sys-prefix does exactly)
Thanks again and I hope this helps someone else.
On Tuesday, November 14, 2017 at 4:32:35 PM UTC-8, Matthias Bussonnier
wrote:
>
> Hi Rob
>
> > jupyterlab is designed to run side-by-side or in parallel with Jupyter
>
> I think that by "jupyter" you mean Notebook , which we also refer to
> as "classic Notebook", we tend to think of "Jupyter" as a set of
> tools, JupyterLab is part of Jupyter.
>
> Anyway, the answer is yes. You have nothing particular to do, you do
> not even need to start a second server.
> If you start the classic notebook, simply change /tree or /notebook by
> /lab in the URL.
>
> If you are running lab, click on "Help" > "Launch classic notebook".
> Or you can also change the URL, but the menu item is there.
>
> While the two can run at the same time, we sill recommend not opening
> the same document at the same time in both.
>
> You can have a look at this binder:
> https://github.com/binder-examples/jupyterlab
>
> where this work flawlessly without having to do anything in particular.
>
> Let us know if that does not work
> --
> M
>
> On Tue, Nov 14, 2017 at 4:01 PM, 'Rob Russell' via Project Jupyter
> <[email protected] <javascript:>> wrote:
> > Hi - I'm trying to determine if jupyterlab is designed to run
> side-by-side
> > or in parallel with Jupyter on the same port such that I could easily
> switch
> > between the two by simply changing the url from <domain>/tree to
> > <domain>/lab.
> >
> > I did find this previously-asked question:
> >
> https://groups.google.com/forum/#!searchin/jupyter/parallel$20install$20jupyterlab|sort:date
>
> >
> > Which seems to touch on it but I was left still wondering (and it's an
> old
> > thread).
> >
> > I was able to install jupyterlab locally and start it up using "jupyter
> lab"
> > and I was also able to start up jupyter by running "jupyter notebook
> --port
> > 8889" and it seemingly worked.
> >
> > The hard part seems to be when instrumenting a Ubuntu Docker image with
> a
> > root user and a less privileged user. The Jupyterlab readme said,
> "Note: If
> > installing using pip install --user, you must add the user-level bin
> > directory to your PATH environment variable in order to launch jupyter
> lab."
> > I guess I need a bit more instruction to make this work. What is the
> > user-level bin directory?
> >
> > I've tried
> >
> > jupyter serverextension enable --py jupyterlab --sys-prefix
> > AND
> > jupyter serverextension enable --py jupyterlab
> >
> > but I would see errors such as:
> > Error executing Jupyter command 'lab': [Errno 2] No such file or
> directory
> >
> > after running "jupyter lab" from a bash shell in the Docker container.
> >
> > Thanks for any pointers or tips,
> > Rob
> > I'm using Python 3.6.2 & IPython 4.2.1, notebook server is 4.4.1
> >
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