.travis.yml

# This is necessary because matplotlib is involved.
before_script:
  - "export DISPLAY=:99.0"
  - "sh -e /etc/init.d/xvfb start"
  - sleep 5 # give xvfb some time to start

language: python
matrix:
  include:
    - python: 3.5  # we don't actually use this
      env: PYTHON_VERSION=3.7
# command to install dependencies
install:
  - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
  - bash miniconda.sh -b -p $HOME/anaconda
  - export PATH="$HOME/anaconda/bin:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  - conda update -q conda
  - conda config --add channels conda-forge

  # Useful for debugging any issues with conda
  - conda info -a

  # Install Python, py.test, and required packages.
  - conda env create -f environment.yml
  - source activate bayesian-modelling-tutorial
  # This guarantees that the Python version is matrixed.
  - conda install python=$PYTHON_VERSION
  - python -m ipykernel install --user --name bayesian-modelling-tutorial
# command to run tests
script:
  - mkdir -p docs/notebooks
  # All notebooks that need to be converted are inside nbconvert_config.py
  # We have to call on --execute - without doing so, the execution config
  # inside nbconvert_config.py won't run.
  - jupyter nbconvert --config nbconvert_config.py --execute --template full
  # Build the index page.
  - pandoc README.md -o docs/index.html -c static/pandoc.css -s


deploy:
  provider: pages
  skip-cleanup: true
  github-token: $GITHUB_TOKEN  # Set in the settings page of your repository, as a secure variable
  keep-history: true
  # We read the master branch
  on:
    branch: master
  # Take the docs/ directory
  local-dir: docs
  # Publish to the gh-pages branch
  target-branch: gh-pages
verbose: true