Hi Thomas,

yes definitely, a command like that is exactly what I am looking for.

In the meantime, maybe it makes more sense to launch it using the kernel
specs. And delay support for R language a little bit.

Is there something i can help with to achieve this command?

Thanks,

Xavi


Xavi

-----------------------------
http://www.alcim.net

On Thu, Dec 7, 2017 at 10:25 PM, Carlos Córdoba <[email protected]>
wrote:

> I see Xavier. Then what Thomas is doing will really solve your problem.
>
>
> Cheers,
> Carlos
>
> El 07/12/17 a las 16:13, Thomas Kluyver escribió:
>
> There should be a command like 'jupyter runkernel' to provide a uniform
> interface to start different kernels. I'm actually working on
> jupyter_client at the moment, and a command like this is one of my goals
> for that work a bit further down the line.
> https://github.com/jupyter/jupyter_client/pull/308
>
> In the meantime, you have a few options.
>
> - One is to to run the whole notebook server in the docker container. This
> is what services like mybinder.org and tmpnb.org do, for instance. The
> notebook server starts kernels itself inside the container.
> - Another is to figure out the commands for the kernels you're using. You
> can do this by investigating their kernelspecs (see http://jupyter-client.
> readthedocs.io/en/stable/kernels.html#kernel-specs )
> - Using kernel_gateway and nb2kg might be another option
> - Finally, there's what you were trying. It's not an unreasonable way to
> do it, but it does make things like shutting down a kernel trickier. You
> can probably trick jupyter-console into running by launching it with
> Ptyprocess ( http://ptyprocess.readthedocs.io/en/latest/ ).
>
> Thomas
>
> On 7 December 2017 at 21:01, Xavier Orduña <[email protected]>
> wrote:
>
>> Hi Thomas and Carlos,
>>
>> Thanks for your ansers, let me clarify a little bit what I am trying to
>> achieve here.
>>
>> I have a process that needs to run jupyter notebooks (using different
>> kernels, python2, python3, R, etc ...) but since I don't trust those
>> notebooks I want to execute them in a protected environment. I managed to
>> get this working running ipython kernel in the docker container. The
>> process uses a KernelClient to run the notebooks remotely in the container.
>>
>> This is ok for just one environment, but if want to have many different
>> kernels and languages, I wanted to get advantage of wrapping them using
>> jupyter console. Mainly because when properly installed, jupyter console
>> manages kernel using the --kernel argument which makes the solution pretty
>> clean. This way, in case I want to add new kernels, I just need to
>> configure them in the docker container and launch jupyter console with a
>> different argument.
>>
>> I know I can run ipython direclty, but it is not clear how to run other
>> kernels directly (for example R).
>>
>> Thanks a lot!
>>
>> Xavi
>>
>>
>> Xavi
>>
>> -----------------------------
>> http://www.alcim.net
>>
>> On Thu, Dec 7, 2017 at 9:09 PM, Carlos Córdoba <[email protected]>
>> wrote:
>>
>>> Xavier, you could start a kernel and connect to it, instead of starting
>>> a jupyter console. If you're using ipykernel, that just requires running
>>>
>>>     ipython kernel
>>>
>>>
>>> Cheers,
>>> Carlos
>>>
>>> El 07/12/17 a las 14:57, Thomas Kluyver escribió:
>>>
>>> Why do you want to start a console in the background? A console is an
>>> interactive user interface, so it doesn't really make sense to run it in
>>> the background. We can probably figure out a way to do it, but there may be
>>> a better way to achieve what you want to do.
>>>
>>> On 7 December 2017 at 18:23, Xavier Orduña <[email protected]>
>>> wrote:
>>>
>>>> HI!
>>>>
>>>> I am trying to run jupyter console using docker and connect to this
>>>> running console from another client. If I start the container using
>>>> interactive mode (-ti) and then start the jupyter console, everything is
>>>> fine.
>>>>
>>>> But if i run jupyter console as the entry point, then I got this
>>>> exception:
>>>>
>>>> Traceback (most recent call last):
>>>>   File "/usr/local/bin/jupyter-console", line 11, in <module>
>>>>     sys.exit(main())
>>>>   File "/usr/local/lib/python3.5/dist-packages/jupyter_core/applica
>>>> tion.py", line 266, in launch_instance
>>>>     return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
>>>>   File "/usr/local/lib/python3.5/dist-packages/traitlets/config/app
>>>> lication.py", line 657, in launch_instance
>>>>     app.initialize(argv)
>>>>   File "<decorator-gen-116>", line 2, in initialize
>>>>   File "/usr/local/lib/python3.5/dist-packages/traitlets/config/app
>>>> lication.py", line 87, in catch_config_error
>>>>     return method(app, *args, **kwargs)
>>>>   File "/usr/local/lib/python3.5/dist-packages/jupyter_console/app.py",
>>>> line 141, in initialize
>>>>     self.init_shell()
>>>>   File "/usr/local/lib/python3.5/dist-packages/jupyter_console/app.py",
>>>> line 114, in init_shell
>>>>     client=self.kernel_client,
>>>>   File "/usr/local/lib/python3.5/dist-packages/traitlets/config/con
>>>> figurable.py", line 412, in instance
>>>>     inst = cls(*args, **kwargs)
>>>>   File "/usr/local/lib/python3.5/dist-packages/jupyter_console/ptsh
>>>> ell.py", line 273, in __init__
>>>>     self.init_prompt_toolkit_cli()
>>>>   File "/usr/local/lib/python3.5/dist-packages/jupyter_console/ptsh
>>>> ell.py", line 435, in init_prompt_toolkit_cli
>>>>     output=create_output(true_color=self.true_color),
>>>>   File "/usr/local/lib/python3.5/dist-packages/prompt_toolkit/short
>>>> cuts.py", line 126, in create_output
>>>>     ansi_colors_only=ansi_colors_only, term=term)
>>>>   File "/usr/local/lib/python3.5/dist-packages/prompt_toolkit/termi
>>>> nal/vt100_output.py", line 424, in from_pty
>>>>     assert stdout.isatty()
>>>> AssertionErrorIntroduïu el codi aquí...
>>>>
>>>> As far as I understand, the error is caused when the jupyter console
>>>> tries to start the interactive terminal ...
>>>>
>>>> Is there any way to launch the console in the background? without
>>>> showing the console it self in the terminal.
>>>>
>>>> I checked the options and I am unable to find any of the that suits my
>>>> needs.
>>>>
>>>> This is the script that starts the kernel:
>>>>
>>>> ./push_to_server.sh &
>>>> IP=`ifconfig eth0 2>/dev/null|awk '/inet addr:/ {print $2}'|sed
>>>> 's/addr://'`
>>>> #ipython kernel  --control=42005 --shell=42001 --iopub=42002 --hb=42003
>>>> --stdin=42004 --ip="$IP" -f /kernel_config.json
>>>> #ipython kernel  --ip="$IP" -f /kernel_config.json --log-level=DEBUG
>>>> nohup jupyter console  --ip="$IP" -f /kernel_config.json --log-level=DEBUG
>>>> --kernel=python3 $*
>>>>
>>>> As you can see, i used directly ipython kernel before, but then to have
>>>> more than one kernel was complicated.
>>>>
>>>> Thank you very much!
>>>>
>>>> Xavi
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