fd5d5111db
* changed settings for personal hub. * htop added to singleuser. * better singleuser. * config updated. * bad merge. * standard updates. * updates to builds. * updated. * updated path. * loc * stable build! * lab enabled. * dockerspawner bug fix. * stable upgrade. * remove env ending. * minimal installation script with python 2. * git enabled. * env. * upgraded hub for hartke. * setting cull idle servers. * default upgrade now working. * options. * tweaks for personal settings. * personalization. * update. * attempting full latex build. * lab build. * typo * separated layers. * got a fancy environment working * allspark. * updated personal hub settings. * allspark done. * updates. tflow. * octave deps. * rstudio and redundancy cleanup. * WIP * everything WORKS!!! * stable state with updates. * stuff to improve the experience. * merge. * working state. * settings. * settings for carme, successful build * settings tweaked for lab, sudo, debugger * working on carme * upgrade to python 3.9 and remove conda install steps * updates * major cleanup (#6) * update for slalom * disable options and grant sudo to all * vscode launcher * default url * pkgs * config * updates * typo * update * dont mount extras * update info in config * adding install scripts, cleaning up dockerfile * refactor class * clean up logic * carme * upgrades * update * swap order * spacing * updates * paths * rearranging * cleanup * lsp * cleanup * culler service update * unecessary option * more unecessary args * Update .env * monitoring Co-authored-by: mathematicalmichael <mpilosov@gmail.com>
50 lines
2.1 KiB
Bash
Executable File
50 lines
2.1 KiB
Bash
Executable File
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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# Use this file to set default values for environment variables specified in
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# docker-compose configuration file. docker-compose will substitute these
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# values for environment variables in the configuration file IF the variables
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# are not set in the shell environment.
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# To override these values, set the shell environment variables.
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JUPYTERHUB_VERSION=1.5.0
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# Assign a port for the hub to be hosted on.
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# To check the ports that are in use, run `docker ps`.
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# Generally, picking a random number between 8000-9999 won't be an issue.
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PORT_NUM=8000
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HUB_NAME=carme
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# Name of Docker network
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DOCKER_NETWORK_NAME=hub-network
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# Single-user Jupyter Notebook server container image
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# Tags / versioning information can be found at:
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# https://hub.docker.com/r/jupyter/tensorflow-notebook/tags
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#DOCKER_NOTEBOOK_IMAGE=jupyter/tensorflow-notebook:4d9c9bd9ced0
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# d0bfe4b38f78: tensorflow==2.4.1 python==3.9.2 lab==3.0.15 notebook==6.3.0 hub==1.4.1
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# 23ac04200f8f: tensorflow==2.6.0 python==3.9.7 lab==3.2.3 notebook==6.4.5 hub==1.5.0
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DOCKER_NOTEBOOK_IMAGE=jupyter/tensorflow-notebook:hub-1.5.0
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# the local image we use, after pinning jupyterhub version
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#LOCAL_NOTEBOOK_IMAGE=jupyterhub-user
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# Notebook directory in the container.
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# This will be /home/jovyan/work if the default
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# This directory is mapped to a docker volume for each user
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DOCKER_NOTEBOOK_DIR=/home/jovyan/work
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# Docker run command to use when spawning single-user containers
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# DO NOT CHANGE THIS. It is how the docker-stacks notebooks launch the single-user servers.
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DOCKER_SPAWN_CMD=start-singleuser.sh
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# provide at least one user from `userlist` so that `make login` can show you the associated password
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# (useful when changing secret keys or creating hub for the first time)
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# afterwards, you can visit /hub/login_list (if enabled and you are an admin) to see everyone's passwords.
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# by default, hub-admin will be an admin user (defined in jupyterhub_config.py).
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# you can print the password for this hub-admin user with 'bash show_login.sh'
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USERNAME=`whoami`
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PASSWORD_LENGTH=6
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HUB_LOC=`pwd`
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