haystack/.github/actions/python_cache/action.yml

name: Python Cache
description: Caches a full installation of Haystack dependencies

inputs:
  prefix:
    description: 'prefix for the cache (to distinguish OS)'
    required: true
    default: 'linux'
  pythonPath:
    description: 'Python path to cache/restore'
    required: true
  pythonVersion:
    description: 'Python version to use'
    required: true
    default: "3.7"

runs:
  using: "composite"
  steps:

  - name: Get date
    shell: bash
    run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_ENV

  - name: Checkout
    uses: actions/checkout@v2

  - name: Setup Python
    uses: actions/setup-python@v2
    with:
      python-version: ${{ inputs.pythonVersion }}

  - name: Cache
    id: cache-python-env
    uses: actions/cache@v2
    with:
      path: ${{ env.pythonLocation }}
      # The cache will be rebuild every day and at every change of the dependency files
      key: ${{ inputs.prefix }}-py${{ inputs.pythonVersion }}-${{ env.date }}-${{ hashFiles('**/setup.py') }}-${{ hashFiles('**/setup.cfg') }}-${{ hashFiles('**/pyproject.toml') }}

  - name: Install dependencies
    # NOTE: this action runs only on cache miss to refresh the dependencies and make sure the next Haystack install will be faster.
    # Do not rely on this step to install Haystack itself!
    # The cache can last way longer than a specific action's run, so older Haystack version could be carried over and the tests will run
    # against the cached code instead of the new changes.
    if: steps.cache-python-env.outputs.cache-hit != 'true'
    shell: bash
    run: |
      python -m pip install --upgrade pip
      pip install .[all]
      pip install rest_api/
      pip install ui/
      pip install torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+cpu.html