I forgot that I had actually started working on this command a few months
ago, then got distracted by other things. I've just done a bit more work on
it.

https://github.com/jupyter/jupyter_client/pull/240

On 7 December 2017 at 22:50, Xavier Orduña <[email protected]> wrote:

> 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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