Great !
Happy to have this solved for you.
The configuration issue is weird, though I rarely install stuff as root;
there should be way to have system wide config, but I don't remember from
the top of my head.
I'm also guessing your first "USER ${NOT_ROOT_USER}" is meant to be "USER
${ROOT}", otherwise you install all as non-privilege user :-)
Thanks for looking into that in details.
Just a an extra precision, the timeline for _notebook server_ should be
something like that.
a) installing the notebook server installs "classic notebook", while "Lab"
is an extension.
b) installing the notebook server installs both "classic notebook", and
"Lab" always.
c) installing the notebook server installs "Lab", and "Classic" is now an
extension.
And again thanks for trying Lab before it is released ! If you have ideas
on how to make the docs clearer feel free to open issues or send
pull-requests !
--
Matthias
On Wed, Nov 15, 2017 at 2:45 PM, 'Rob Russell' via Project Jupyter <
[email protected]> wrote:
> 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 ${NOT_ROOT_USER}
> RUN jupyter serverextension enable --py jupyterlab *--user* # not
> --sys-prefix
>
> Notice that this deviates from the official Jupyterlab README
> <https://github.com/jupyterlab/jupyterlab/blob/master/README.md> in so
> far as I don't use "--sys-prefix" (I can't easily find the documents to
> explain what --sys-prefix does exactly)
>
> Thanks again and I hope this helps someone else.
>
>
>
>
>
> On Tuesday, November 14, 2017 at 4:32:35 PM UTC-8, Matthias Bussonnier
> wrote:
>>
>> Hi Rob
>>
>> > jupyterlab is designed to run side-by-side or in parallel with Jupyter
>>
>> I think that by "jupyter" you mean Notebook , which we also refer to
>> as "classic Notebook", we tend to think of "Jupyter" as a set of
>> tools, JupyterLab is part of Jupyter.
>>
>> Anyway, the answer is yes. You have nothing particular to do, you do
>> not even need to start a second server.
>> If you start the classic notebook, simply change /tree or /notebook by
>> /lab in the URL.
>>
>> If you are running lab, click on "Help" > "Launch classic notebook".
>> Or you can also change the URL, but the menu item is there.
>>
>> While the two can run at the same time, we sill recommend not opening
>> the same document at the same time in both.
>>
>> You can have a look at this binder:
>> https://github.com/binder-examples/jupyterlab
>>
>> where this work flawlessly without having to do anything in particular.
>>
>> Let us know if that does not work
>> --
>> M
>>
>> On Tue, Nov 14, 2017 at 4:01 PM, 'Rob Russell' via Project Jupyter
>> <[email protected]> wrote:
>> > Hi - I'm trying to determine if jupyterlab is designed to run
>> side-by-side
>> > or in parallel with Jupyter on the same port such that I could easily
>> switch
>> > between the two by simply changing the url from <domain>/tree to
>> > <domain>/lab.
>> >
>> > I did find this previously-asked question:
>> > https://groups.google.com/forum/#!searchin/jupyter/parallel$
>> 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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