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

pool:
  vmImage: "ubuntu-latest"
strategy:
  matrix:
    Python37:
      python.version: "3.7"
    Python38:
      python.version: "3.8"

steps:
  - task: Cache@2
    inputs:
      key: 'poetry | "$(Agent.OS)" | "$(python.version)" | v2 | poetry.lock'
      path: /home/vsts/.cache/pypoetry/virtualenvs
      restoreKeys: |
        poetry | "$(Agent.OS)" | "$(python.version)" | v2
    displayName: Cache pip packages

  - task: Cache@2
    inputs:
      key: "downloads | v2"
      path: $(System.DefaultWorkingDirectory)/downloads
      restoreKeys: |
        downloads | v2
    displayName: Cache downloaded models

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

  - script: pip install poetry
    displayName: "Install poetry"

  - script: poetry run pip install --upgrade pip
    displayName: "Upgrade pip"

  - script: poetry install
    displayName: "Install dependencies"

  - script: sudo apt install -y ninja-build
    displayName: "Install C++ dependencies"

  - script: poetry run python src/amanda/cli/download_model.py
    displayName: "Download models"

  - script: poetry run make build_cc
    displayName: "Build C++ code"

  - script: poetry run pytest -m "not slow"
    displayName: "Run pytest"