Yes, in general that's the correct idiom. You probably need to explicitly
import your base class though (i.e. add "import batchspawner.LsfSpawner"
before you declare your subclass).
That said, both of those req_* options look like good candidates for adding
to the base class, especially since req_partition already exists in at
least one other batchspawner subclass.
On Fri, Mar 16, 2018 at 11:15 AM, Brian Fulton-Howard <fulto...@gmail.com>
wrote:
> Thanks!
>
> I have a potential addition to my config file. I had to subclass the
> LsfSpawner class because it appears incomplete and doesn't have all of the
> options required for our cluster. Does this look right?
>
> c.JupyterHub.spawner_class = 'wrapspawner.ProfilesSpawner'
> c.Spawner.http_timeout = 120
> #-----------------------------------------------------------
> -------------------
> # BatchSpawnerBase configuration
> # Providing default values that we may omit in the profiles
> #-----------------------------------------------------------
> -------------------
> c.BatchSpawnerBase.req_runtime = '12:00'
> #-----------------------------------------------------------
> -------------------
> # ProfilesSpawner configuration
> #-----------------------------------------------------------
> -------------------
> # List of profiles to offer for selection. Signature is:
> # List(Tuple( Unicode, Unicode, Type(Spawner), Dict ))
> # corresponding to profile display name, unique key, Spawner class,
> # dictionary of spawner config options.
> #
> # The first three values will be exposed in the input_template as
> {display},
> # {key}, and {type}
> #
>
> ## Override LsfSpawner to be compatible with Minerva
>
> class MinervaSpawner(batchspawner.LsfSpawner):
> batch_script = Unicode('''#!/bin/sh
> #BSUB -R "span[hosts=1]" # Only spawn job on one server
> #BSUB -P {account}
> #BSUB -q {queue}
> #BSUB -m {partition}
> #BSUB -R rusage[mem={memory}]
> #BSUB -n {nprocs}
> #BSUB -J spawner-jupyterhub
> #BSUB -o {homedir}/.jupyterhub.lsf.out
> #BSUB -e {homedir}/.jupyterhub.lsf.err''')
>
> req_partition = Unicode('', \
> help="Partition name to submit job to resource manager"
> ).tag(config=True)
>
> req_account = Unicode('', \
> help="Account name to submit job to resource manager"
> ).tag(config=True)
>
> c.ProfilesSpawner.profiles = [
> ( "Local server", 'local', 'jupyterhub.spawner.SudoSpawner', {'ip':
> '0.0.0.0'} ),
> ('Bode - 2 cores, 4 GB, 8 hours', 'bode2c4g12h', 'MinervaSpawner',
> dict(req_nprocs='2', req_queue='premium', req_runtime='8:00',
> req_memory='4000',
> req_partition='bode', req_account='acc_LOAD')),
> ('Manda - 8 cores, 128 GB, 4 hours', 'manda128gb', 'MinervaSpawner',
> dict(req_nprocs='8', req_queue='premium', req_runtime='4:00',
> req_memory='16000',
> req_partition='bode', req_account='acc_LOAD')),
> ('Bode - 2 cores, 4 GB, 24 hours', 'mesabi2c4gb24h',
> 'batchspawner.TorqueSpawner',
> dict(req_nprocs='2', req_queue='premium', req_runtime='24:00',
> req_memory='4gb',
> req_partition='bode', req_account='acc_LOAD')),
> ]
>
>
>
> On Thursday, March 15, 2018 at 6:47:28 PM UTC-4, Michael Milligan wrote:
>>
>> Hi Brian -
>>
>> It is possible, and it sounds like you already mostly have the solution!
>> The example config at the end of the batchspawner README should be roughly
>> what you want, except that you will use the SudoSpawner instead of
>> LocalProcessSpawner. Specifically, you need to install all of the spawners
>> you are using alongside Jupyterhub (e.g. pip install wrapspawner,
>> batchspawner, and sudospawner into the same virtualenv as jupyterhub) --
>> the ProfilesSpawner configuration will tell Jupyterhub which spawner to use
>> in response to the user's menu selection.
>>
>> Sorry about the confusing state of the documentation about how to do
>> this. Batchspawner and wrapspawner were originally distributed in the same
>> repository, and when we split them apart it sounds like we may not have
>> included enough context on one side or the other. We're happy to get
>> suggestions about how to improve the docs if you'd like to give us some
>> feedback when you get a chance.
>>
>> Regards,
>> Michael
>>
>> On Thu, Mar 15, 2018 at 4:58 PM, Brian Fulton-Howard <fult...@gmail.com>
>> wrote:
>>
>>> As I understand it, I need to use some combination of wrapspawner,
>>> localspawner, sudospawner and batchspawner. I want to run jupyterhub as an
>>> unprivileged user, but the admins are happy to edit the sudoers file to
>>> make it work. What I'd like to do is give users in my lab a choice to start
>>> on the LSF cluster (batchspawner) or locally (localspawner). Wrapspawner
>>> would provide the interface to make a selection.
>>>
>>> Is this possible, and how would I go about doing it? I looked in the
>>> documentation for the various spawners and didn't find any detailed
>>> information.
>>>
>>> The cluster supports PAM, so I don't need any special authenticator.
>>>
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