azure-pipelines.yml

# Python package
# Create and test a Python package on multiple Python versions.
# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python

trigger:
- master

jobs:
  - job: "pytest"
    pool:
      vmImage: 'ubuntu-latest'
    strategy:
      matrix:
        Python36:
          python.version: '3.6'
        Python37:
          python.version: '3.7'
        Python38:
          python.version: '3.8'

    steps:

    - task: UsePythonVersion@0
      inputs:
        versionSpec: '$(python.version)'
      displayName: 'Use Python $(python.version)'

    - script: |
        sudo apt install -y libvirt-bin libvirt-daemon libvirt-dev
      displayName: Install libvirt dependencies

    - script: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install -e .
      displayName: 'Install dependencies'

    - script: |
        pip install pytest pytest-azurepipelines
        pytest
      displayName: 'pytest'

  - job: "black"
    pool:
      vmImage: 'ubuntu-latest'
    steps:
    - task: UsePythonVersion@0
      inputs:
        versionSpec: "3.7"
        architecture: "x64"
        addToPath: true

    - script: |
        pip install black
        black --diff  --check --exclude=version.py setup.py virt_lightning
      displayName: 'black code formatter'