conda.yml

# We use Conda instead of
# - OS packages: not all packages are available, and some may be very outdated
# - pip packages: this may cause problems with library dependencies
#
# Only the basic packages will be installed; everything else is
# available through the Jupyter docker container.

- name: Install Conda, JupyterHub & related packages
  block:
    # Note: there is an Ansible Conda module, but it's not core
    # Instead, the following relies on files or directories being created
    - get_url:
        url: https://repo.continuum.io/miniconda/Miniconda3-3.7.0-Linux-x86_64.sh
        dest: /tmp
    - command: bash /tmp/Miniconda3-3.7.0-Linux-x86_64.sh -b -p /opt/conda
      args:
        creates: /opt/conda
    - command: /opt/conda/bin/conda update --yes --quiet conda
    - command: /opt/conda/bin/conda create --name jupyterhub --yes --quiet --channel conda-forge python=3.7
      args:
        creates: /opt/conda/envs/jupyterhub/
    - command: /opt/conda/bin/conda install --name jupyterhub --yes --quiet --channel conda-forge {{ item }}
      args:
        creates: /opt/conda/pkgs/{{ item }}-*bz2
      # TODO: fix version numbers for each package once we have a full and compatible installation
      # This may speed up conda trying to match dependencies
      # TODO2: install all packages at once; this may speed up resolving dependencies
      loop:
        - jupyterhub
        - notebook
        - jupyterlab
        - sudospawner
        - dockerspawner
        - numpy

    - file:
        path: /opt/conda
        mode: u=rwX,g=rX,o=rX
        recurse: yes