.travis.yml

# The language in this case has no bearing - we are going to be making use of conda for a
# python distribution for the scientific python stack.
language: python

sudo: false

env:
    global:
       - CONDA_INSTALL_LOCN="${HOME}/conda"

    matrix:
        - PYTHON=2.7
        - PYTHON=3.6

install:
    - mkdir -p ${HOME}/cache/pkgs
    - "[ ! -f ${HOME}/cache/miniconda.sh ] && wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ${HOME}/cache/miniconda.sh || :"
    - bash ${HOME}/cache/miniconda.sh -b -p ${CONDA_INSTALL_LOCN} && export PATH=${CONDA_INSTALL_LOCN}/bin:$PATH

    # Re-use the pacakges in the cache, and download any new ones into that location.
    - rm -rf ${CONDA_INSTALL_LOCN}/pkgs && ln -s ${HOME}/cache/pkgs ${CONDA_INSTALL_LOCN}/pkgs

    - git config --global user.name "Travis user"
    - git config --global user.email travis-tests@example.com

    # Now do the things we need to do to install it.
    - conda install --file requirements.txt nose mock python=${PYTHON} --yes --quiet -c conda-forge
    - conda list
    - python setup.py install

script:
    - nosetests conda_gitenv


# We store the files that are downloaded from continuum.io, but not the environments that are created.
cache:
    directories:
      - $HOME/cache
before_cache:
  # Remove all untarred directories.
  - find $CONDA_INSTALL_LOCN/pkgs/ -mindepth 1 -maxdepth 1 -type d -exec rm -r {} \;