azure-pipelines.yml

trigger:
- master

jobs:
- job: 'Test'
  pool:
    vmImage: 'Ubuntu-16.04'
  steps:
  - bash: |
      echo "##vso[task.prependpath]$CONDA/bin"
      sudo chown -R $USER /usr/share/miniconda
      conda env create --quiet --file environment.yml
      . /usr/share/miniconda/etc/profile.d/conda.sh
      conda activate conpy
    displayName: 'Setup python environment'

  - script: python setup.py develop --user
    displayName: 'Install conpy'

  - bash: |
      . /usr/share/miniconda/etc/profile.d/conda.sh
      conda activate conpy
      /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset
      export DISPLAY=:99.0
      python -c "import mne; mne.sys_info()"
      python -c "from mayavi import mlab; import matplotlib.pyplot as plt; mlab.figure(); plt.figure()"
    displayName: 'Start X Virtual Frame Buffer'
    
  - script: |
      . /usr/share/miniconda/etc/profile.d/conda.sh
      conda activate conpy
      python -c "import mne; print(mne.datasets.sample.data_path(update_path=True, verbose=False))";
      python -c "import mne; print(mne.datasets.testing.data_path(update_path=True, verbose=False))";
      pytest tests --doctest-modules --junitxml=junit/test-results.xml --cov=com --cov-report=xml --cov-report=html
    displayName: 'Run unit tests'
    
  - task: PublishTestResults@2
    inputs:
      testResultsFiles: '**/test-results.xml'
      testRunTitle: 'Python $(python.version)'
    condition: succeededOrFailed()

  - bash: |
      . /usr/share/miniconda/etc/profile.d/conda.sh
      conda activate conpy
      export DISPLAY=:99.0
      cd doc
      make html
    displayName: 'Build documentation'

  - task: PublishPipelineArtifact@0
    inputs:
      artifactName: 'doc'
      targetPath: 'doc/_build/html'