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:
  branches:
    include:
    - '*'
    exclude:
    - 'master'
pr:
  - '*'

jobs:
- job: 'Validation'
  steps:
  - task: UsePythonVersion@0
    inputs:
      versionSpec: '3.5'
    displayName: 'Use Python 3.5'
  - script: |
      python -m pip install --upgrade pip
      pip install -r requirements.txt
    displayName: 'Install dependencies'
  - script: |
      pip install flake8 flake8-docstrings
      flake8 src
    displayName: 'Flake8'
  - script: |
      pip install pylint
      pylint src/pyvesync_v2
    displayName: 'Pylint'

- job: 'pytest'
  pool:
    vmImage: 'ubuntu-latest'
  strategy:
    matrix:
      Python35:
        python.version: '3.5'
      Python36:
        python.version: '3.6'
      Python37:
        python.version: '3.7'

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

  - script: |
      set -e
      python -m pip install --upgrade pip
      pip install -r requirements.txt
      pip install -U pytest pytest-azurepipelines pytest-sugar pytest-cov codecov
    displayName: 'Install dependencies'
  - script: |
      pytest --junitxml=reports/pytest.xml
    displayName: 'Run Tests'
  - script: |
      pytest --cov src/pyvesync_v2 --cov-report html --cov-report xml -qq -o console_output_style=count -p no:sugar src/tests
      codecov --token $(codecov)
    displayName: 'Run Test Coverage'
    condition: and(succeeded(), eq(variables['python.version'], '3.5'))