shippable.yml

# This following script is modified from .travis.yml for a Linux based system
# This yaml is designed to build using the latest versions (unpinned) of dependencies.
# dev_requirements.txt is removed and dependencies install  from `setup.py`
# The lastet python version is also tested

#sudo: false                                                # works w/Docker
language: python
python:
  #- "2.7"
  - "2.7.12"
  - "3.3"                                                    # unknown bug at begining of dev cycle; wait for excel writers to be solved
  - "3.4"
  #- "3.5"
  - "3.5.2"

notifications:
  email:
    on_success: never
    on_failure: always

# Setup Miniconda
before_install:
  # Do this conditionally since it saves download time if the version is the same.
  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
      wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
    else
      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
    fi
  ##- chmod +x miniconda.sh                                  # release permissions
  - bash miniconda.sh -b -p $HOME/miniconda                # assign conda program to HOME dir
  - export PATH="$HOME/miniconda/bin:$PATH"                # enable `conda` command
  - hash -r                                                # reset links
  - conda config --set always_yes yes --set changeps1 no   # say yes to prompts
  - conda update -q conda                                  # update since mini lags behind conda; say "yes"
  # Useful for debugging any issues with conda
  - conda info -a

install:
  # Attempt to pull dependencies only from setup.py

  - conda create -q -n test-environment2 python=$TRAVIS_PYTHON_VERSION pip nose numpy matplotlib pandas pytest
  - source activate test-environment2
  - conda list
  - pip install nbval version_information                  # to run notebook regression test
  - pip install -U .                                       # update-deps to latest version if needed; fixed py33 bug that failed in install latet
  - pip list
  # NOTE: the upgrade flag on pip forces updates on deps; this takes a very long time


script:
  - nosetests lamana
  - ls -al
  # Regression testing of API notebook using nbval plugin
  - cd docs
  - py.test --nbval demo.ipynb --sanitize-with nbval_sanitize.cfg

# References
# ----- ---------                           -------------
# (001) Conda and coverage on Travis        http://dan-blanchard.roughdraft.io/7045057-quicker-travis-builds-that-rely-on-numpy-and-scipy-using-miniconda
# (002) Travis and conda                    http://conda.pydata.org/docs/travis.html
# (003) Conda on Travis w/details           http://lmjohns3.com/2015/06/using-travis-ci-with-miniconda-scipy-and-nose.html
# (004) Example yaml                        https://github.com/lmjohns3/theanets/blob/master/.travis.yml
# (005) Example 2 yaml                      http://samueljackson.me/2015/12/12/better-python-travis-config.html
# (006) Sample codecov w/miniconda          https://github.com/JIC-CSB/jicbioimage.illustrate/blob/master/.travis.yml#L31
# (007) Shippable yaml config               http://docs.shippable.com/ci_configure/
# (008) Reads Travis-style                  https://github.com/shippableSamples/sample-python-datastore-appengine/blob/master/shippable.yml
# (009) Flag force install                  https://stackoverflow.com/questions/22597206/broken-matplotlib-installation-conda-update-did-not-work