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Ansible playbook for EUCP notebook server

This directory contains the Ansible playbook to set up a virtual machine (VM) with a JupyterHub, for use within the EUCP. The VM tested has been a Ubuntu 18.04 (LTS) system. The current setup uses one running in the SURF HPC cloud.

Run as follows:

ansible-playbook hpccloud-playbook.yml

Note that the ansible.cfg template file in this repository directory points to the Ansible inventory, or specifically, the hosts file (a template file is given in this directory), which sets the host(s) to run the installation on. Update hosts as necessary for your situation; you can use host aliases defined in your $HOME/.ssh/config file.

Running the playbook performs the following steps:

  • Installation of some standard (Ubuntu) packages

  • Creation and mounting of data storage virtual disks

  • Downloading and installation of MiniConda

    • Installation of JupyterHub, JupyterLab and a few extensions (for Python version 3.6)

  • Setup running for JupyterHub under a separate account

    • Sudo access for JupyterHub group to spawn a JupyterLab for each account

    • Systemd setup for JupyterHub

  • Creation of user accounts with random passwords

Data disks

The creation and mounting of data storage uses an Ansible variable file, mount_vars.yml, to match devices and mount points. Every device is xfs formatted and mounted under /mnt/data/<dir>/. Create the mount_vars.yml file from the mount_vars_template.yml template. If you don’t need any data disks mounted, provide an empty list:

mounts: []

User accounts

The Ansible playbook can automatically create users with a random password and with the correct groups. The user name and corresponding main group are listed in the user_vars.yml file as a list of mappings. Copy the user_vars_template.yml to user_vars.yml and edit it accordingly. If you don’t need any users right now, make the users variable an empty list:

users: []

Note: when adding users yourself, make sure that their (secondary) groups are users and jupyterhub, otherwise new users will not be able to start a JupyterLab.

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