.travis.yml

# Docker on Travis requires sudo.
sudo: required

# Based on http://lmjohns3.com/2015/06/using-travis-ci-with-miniconda-scipy-and-nose.html
# Tweaked to specify versions on everything for stability.
language: python
python:
  - "2.7"
services:
  - docker
cache: apt # I don't think caching happens with sudo turned on, so this is a no-op.
addons:
  apt:
    packages: # Since we've turned on sudo, apt-get is available, but this works, too.
    - libatlas-dev
    - libatlas-base-dev
    - liblapack-dev
    - gfortran

before_install:
  - wget http://repo.continuum.io/miniconda/Miniconda2-4.2.12-Linux-x86_64.sh -O miniconda.sh
  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"
  # Prefer stability to having the latest
  #- conda update --yes conda

install:
  - conda install --yes python=$TRAVIS_PYTHON_VERSION cython==0.25.2 numpy=1.11.2
  - pip install clodius==0.3.2
  - pip install -r requirements.txt
  - python manage.py migrate

script:
  - set -e
  ### Build and test from the inside out:
  ### 1) Unit tests

  - COOL=dixon2012-h1hesc-hindiii-allreps-filtered.1000kb.multires.cool
  - MM9COOL=Dixon2012-J1-NcoI-R1-filtered.100kb.multires.cool
  - HITILE=wgEncodeCaltechRnaSeqHuvecR1x75dTh1014IlnaPlusSignalRep2.hitile
  - ANNO=gene_annotations.short.db
  - HIBED=cnv_short.hibed
  - AHBED=arrowhead_domains_short.txt.multires.db
  - HLBED=hiccups_loops_short.txt.multires.db

  - wget https://s3.amazonaws.com/pkerp/public/$COOL    && mv $COOL data/
  - wget https://s3.amazonaws.com/pkerp/public/$HITILE  && mv $HITILE data/
  - wget https://s3.amazonaws.com/pkerp/public/$ANNO    && mv $ANNO data/
  - wget https://s3.amazonaws.com/pkerp/public/$HIBED   && mv $HIBED data/
  - wget https://s3.amazonaws.com/pkerp/public/$AHBED   && mv $AHBED data/
  - wget https://s3.amazonaws.com/pkerp/public/$HLBED   && mv $HLBED data/
  - wget https://s3.amazonaws.com/pkerp/public/$MM9COOL   && mv $MM9COOL data/

  - echo 'foo bar' > data/tiny.txt
  - python manage.py test tilesets

  ### 2) Django server

  - PORT=6000
  - echo "from django.contrib.auth.models import User; User.objects.filter(username='admin').delete(); User.objects.create_superuser('admin', 'user@host.com', 'nimda')" | python manage.py shell
  - python manage.py runserver localhost:$PORT &
  - URL="http://localhost:$PORT/api/v1/tilesets/"
  - until $(curl --output /dev/null --silent --fail --globoff $URL); do echo '.'; sleep 1; done

  - curl -u admin:nimda -F "datafile=@data/$COOL" -F "filetype=cooler" -F "datatype=matrix" -F "uid=aa" -F "coordSystem=hg19" $URL
  - curl -u admin:nimda -F "datafile=@data/$HITILE" -F "filetype=hitile" -F "datatype=vector" -F "uid=bb" -F "coordSystem=hg19" $URL
  # TODO: Check that the output is what we expect?

  - JSON=`curl $URL`
  - echo $JSON
  - 'EXPECTED="{\"count\": 2, \"results\": [{\"uuid\": \"aa\", \"filetype\": \"cooler\", \"datatype\": \"matrix\", \"private\": false, \"name\": \"dixon2012-h1hesc-hindiii-allreps-filtered.1000kb.multires.cool\", \"coordSystem\": \"hg19\", \"coordSystem2\": \"\"}, {\"uuid\": \"bb\", \"filetype\": \"hitile\", \"datatype\": \"vector\", \"private\": false, \"name\": \"wgEncodeCaltechRnaSeqHuvecR1x75dTh1014IlnaPlusSignalRep2.hitile\", \"coordSystem\": \"hg19\", \"coordSystem2\": \"\"}]}"'
  - '[ "$JSON" == "$EXPECTED" ] && echo "Got expected response. Yay!"'