.travis.yml

sudo: required

language: python
dist: xenial

python:
  - "3.5"
  - "3.6"
  - "3.7"
  - "3.8"

services:
  - docker

before_install:
  - docker pull landoop/fast-data-dev
  - docker run -d --net=host -p 4001:4001 -p 4002:4002 -e BROKER_PORT=4001 -e REGISTRY_PORT=4002 -e RUNTESTS=0 -e DISABLE=elastic,hbase -e DISABLE_JMX=1 -e RUNTESTS=0 -e FORWARDLOGS=0 -e SAMPLEDATA=0 --name easyavrotesting landoop/fast-data-dev

install:
  # Install miniconda
  # -----------------
  - export CONDA_BASE=http://repo.continuum.io/miniconda/Miniconda
  - wget ${CONDA_BASE}3-latest-Linux-x86_64.sh -O miniconda.sh;
  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"

  # Create the basic testing environment
  # ------------------------------------
  - conda config --set always_yes yes --set changeps1 no
  - conda config --set show_channel_urls True
  - conda config --add create_default_packages pip
  - conda update --quiet conda

  # Add 3rd party channels
  # ------------------------------------
  - conda config --add channels conda-forge
  - conda config --add channels axiom-data-science

  # Create our environment
  # ------------------------------------
  - ENV_NAME='test-environment'
  - conda env create -n $ENV_NAME environment.yml
  - source activate $ENV_NAME

  - python setup.py sdist && version=$(python setup.py --version) && pushd dist && pip install --no-deps easyavro-${version}.tar.gz && popd

script:
  - py.test -s -rxs -v

after_success:
  - if [ "$TRAVIS_PULL_REQUEST" == "false" ] && [ "$TRAVIS_TAG" != "" ] && [ "$TRAVIS_PYTHON_VERSION" == "3.7" ]; then
    conda install -n root conda-build anaconda-client &&
    conda build conda-recipe &&
    anaconda -t $ANACONDA_TOKEN upload --force -u axiom-data-science $HOME/miniconda/**/easyavro-*.tar.bz2;
    fi

deploy:
  provider: releases
  api_key:
    secure: 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
  on:
    tags: true