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/vsts/pipelines/languages/python

jobs:

- job: 'Test'

  # Configure Build Environment to use Azure Pipelines to build tableformatter Python project using macOS
  pool:
    vmImage: 'macOS-latest'

  # Run the pipeline with multiple Python versions
  strategy:
    matrix:
      Python35:
        python.version: '3.5'
      Python36:
        python.version: '3.6'
      Python37:
        python.version: '3.7'
      Python38:
        python.version: '3.8'
    # Increase the maxParallel value to simultaneously run the job for all versions in the matrix (max 10 for free open-source)
    maxParallel: 3

  steps:
    # Set the UsePythonVersion task to reference the matrix variable for its Python version
  - task: UsePythonVersion@0
    inputs:
      versionSpec: '$(python.version)'
      architecture: 'x64'

    # Install dependencies - install specific PyPI packages with pip, including tableformatter and its dependencies
  - script: |
      python -m pip install --upgrade pip && pip install --upgrade gnureadline
      pip install -e .
    displayName: 'Install dependencies'
    continueOnError: false

    # TODO: Consider adding a lint test to use flake8, pylint, or black to validate code style

    # Test - test with pytest, collect coverage metrics with pytest-cov, and publish these metrics to codecov.io
  - script: |
      pip install pytest pytest-cov codecov numpy pandas
      py.test --cov=tableformatter --junitxml=junit/test-results.xml --cov-report=xml --cov-report=html && codecov
    displayName: 'Test with pytest'
    continueOnError: false

    # Publish test results to the Azure DevOps server
  - task: PublishTestResults@2
    inputs:
      testResultsFiles: '**/test-*.xml'
      testRunTitle: 'Python $(python.version)'
    condition: succeededOrFailed()