.travis.yml

sudo: true
language: python

services:
  - docker

matrix:
  include:
    - python: 2.7
    - python: 3.6
    - language: r
      dist: trusty
      cache: packages
      before_install:
        - export NOT_CRAN=true
        - cd mlflow/R/mlflow
        - Rscript -e 'install.packages("devtools")'
        - Rscript -e 'devtools::install_deps(dependencies = TRUE)'
        - cd ../../..
      script:
        - cd mlflow/R/mlflow
        - R CMD build .
        - R CMD check --no-build-vignettes --no-manual --no-tests mlflow*tar.gz
        - cd tests
        - export LINTR_COMMENT_BOT=false
        - Rscript ../.travis.R
      after_success:
        - export COVR_RUNNING=true
        - Rscript -e 'covr::codecov()'
    - language: java
      script:
        - cd mlflow/java
        - mvn clean package -q
    - language: node_js
      node_js:
        - "node" # Use latest NodeJS: https://docs.travis-ci.com/user/languages/javascript-with-nodejs/#specifying-nodejs-versions
      install:
      script:
        - cd mlflow/server/js
        - npm i
        - ./lint.sh
        - npm test -- --coverage

install:
  - sudo mkdir -p /travis-install
  - sudo chown travis /travis-install
  # (The conda installation steps below are taken from http://conda.pydata.org/docs/travis.html)
  # We do this conditionally because it saves us some downloading if the
  # version is the same.
  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
      wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O /travis-install/miniconda.sh;
    else
      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /travis-install/miniconda.sh;
    fi

  - bash /travis-install/miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  # Useful for debugging any issues with conda
  - conda info -a
  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
  - source activate test-environment
  - python --version
  - pip install --upgrade pip
  # Install Python test dependencies only if we're running Python tests
  - if [[ ! -z "$TRAVIS_PYTHON_VERSION" ]]; then
      travis_wait pip install -r dev-requirements.txt -q;
      travis_wait pip install -r test-requirements.txt -q;
    fi
  - pip install .
  - export MLFLOW_HOME=$(pwd)
  # Remove boto config present in Travis VMs (https://github.com/travis-ci/travis-ci/issues/7940)
  - sudo rm -f /etc/boto.cfg
  # Install protoc
  - wget https://github.com/google/protobuf/releases/download/v3.6.0/protoc-3.6.0-linux-x86_64.zip -O /travis-install/protoc.zip
  - sudo unzip /travis-install/protoc.zip -d /usr
script:
  - ./lint.sh
  - sudo ./test-generate-protos.sh
  - pip list
  - which mlflow
  - echo $MLFLOW_HOME
  - SAGEMAKER_OUT=$(mktemp)
  - if mlflow sagemaker build-and-push-container --no-push --mlflow-home . > $SAGEMAKER_OUT 2>&1; then
      echo "Sagemaker container build succeeded.";
    else
      echo "Sagemaker container build failed, output:";
      cat $SAGEMAKER_OUT;
    fi
  # Run tests that don't leverage specific ML frameworks
  - pytest --cov=mlflow --verbose --large --ignore=tests/h2o --ignore=tests/keras
    --ignore=tests/pytorch --ignore=tests/pyfunc--ignore=tests/sagemaker --ignore=tests/sklearn
    --ignore=tests/spark --ignore=tests/tensorflow
  # Run ML framework tests in their own Python processes. TODO: find a better method of isolating
  # tests.
  - pytest --verbose tests/h2o --large
  - pytest --verbose tests/keras --large
  - pytest --verbose tests/pytorch --large
  - pytest --verbose tests/pyfunc --large
  - pytest --verbose tests/sagemaker --large
  - pytest --verbose tests/sklearn --large
  - pytest --verbose tests/spark --large
  - pytest --verbose tests/tensorflow --large