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# 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 Python project using macOS
pool:
vmImage: 'macOS 10.13' # other options 'Ubuntu 16.04', 'VS2017-Win2016'
# Run the pipeline with multiple Python versions
strategy:
matrix:
Python34:
python.version: '3.4'
Python35:
python.version: '3.5'
Python36:
python.version: '3.6'
Python37:
python.version: '3.7'
# Increase the maxParallel value to simultaneously run the job for all versions in the matrix (max 10 for free open-source)
maxParallel: 4
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 cmd2 dependencies
- script: |
python -m pip install --upgrade pip && pip3 install --upgrade setuptools gnureadline
pip install -e .
displayName: 'Upgrade pip and setuptools'
continueOnError: false
# TODO: Consider adding a lint test to use pycodestyle, flake8, or pylint, to check code style conventions
# Test - test with pytest, collect coverage metrics with pytest-cov, and publish these metrics to codecov.io
- script: |
pip install pytest pytest-cov pytest-mock codecov mock
py.test tests --cov --junitxml=junit/test-results.xml && codecov
displayName: 'Run tests and code coverage'
continueOnError: false
# Publish test results to the Azure DevOps server
- task: PublishTestResults@2
inputs:
testResultsFiles: '**/test-*.xml'
testRunTitle: 'Python $(python.version)'
condition: succeededOrFailed()
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