rabbitmq.yml

name: rabbitmq

on:
    push:
        branches-ignore: [gh-pages]
    pull_request:
        branches-ignore: [gh-pages]
        paths-ignore: ['docs/**']

jobs:

    tests:

        runs-on: ubuntu-latest
        timeout-minutes: 30

        strategy:
            fail-fast: false
            matrix:
                rabbitmq: ['3.5', '3.6', '3.7', '3.8']

        services:
            postgres:
                image: postgres:10
                env:
                    POSTGRES_DB: test_aiida
                    POSTGRES_PASSWORD: ''
                    POSTGRES_HOST_AUTH_METHOD: trust
                options: >-
                    --health-cmd pg_isready
                    --health-interval 10s
                    --health-timeout 5s
                    --health-retries 5
                ports:
                -   5432:5432
            rabbitmq:
                image: rabbitmq:${{ matrix.rabbitmq }}
                ports:
                -   5672:5672

        steps:
        -   uses: actions/checkout@v2

        -   name: Set up Python 3.8
            uses: actions/setup-python@v2
            with:
                python-version: '3.8'

        -   name: Install system dependencies
            run: |
                sudo apt update
                sudo apt install postgresql

        -   name: Upgrade pip
            run: |
                pip install --upgrade pip
                pip --version

        -   name: Build pymatgen with compatible numpy
            run: |
                # This step is necessary because certain versions of `pymatgen` will not specify an explicit version of
                # `numpy` in its build requirements, and so the latest version will be used. This causes problems,
                # however, because this means that the compiled version of `pymatgen` can only be used with that version
                # of `numpy` or higher, since `numpy` only guarantees forward compatibility of the ABI. If we want to
                # run with an older version of `numpy`, we need to ensure that `pymatgen` is built with that same
                # version. This we can accomplish by installing the desired version of `numpy` manually and then calling
                # the install command for `pymatgen` with the `--no-build-isolation` flag. This flag will ensure that
                # build dependencies are ignored and won't be installed (preventing the most recent version of `numpy`
                # to be installed) and the build relies on those requirements already being present in the environment.
                # We also need to install `wheel` because otherwise the `pymatgen` build will fail because `bdist_wheel`
                # will not be available.
                pip install numpy==1.21.4 wheel
                pip install pymatgen==2022.0.16 --no-cache-dir --no-build-isolation

        -   name: Install aiida-core
            run: |
                pip install -r requirements/requirements-py-3.8.txt
                pip install --no-deps -e .
                pip freeze

        -   name: Run tests
            run: pytest -sv -k 'requires_rmq'