docker-ci.yml

# This workflow runs inside a github actions docker container. The workflow
# itself runs another docker container for hosting the dev server which is
# configured with some specific configurations (container network, port...)
# so that it works properly within the docker-in-docker setup. Keep in mind
# that github actions mounts the docker daemon path when running the
# workflow container.
#
# ******** NOTE ********
# MLCubes use docker behind the scenes by default. We don't have direct
# control over how docker commands are called by the MLCube, so care
# should be taken when we start using new container configurations
# inside the mlcube (e.g. networking)

name: Integration local docker workflow

on: pull_request

jobs:
  setup:
    name: local-docker-deploy
    runs-on: ubuntu-latest
    container: 
      image: mlcommons/medperf-tests-container:latest
      options: --privileged --name medperf-tests
      volumes:
        - /tmp:/tmp # To share the directory where the test dataset is downloaded
        - /github/home/.medperf:/github/home/.medperf # To share medperf storage
    env:
      IMAGE_NAME: medperf-api:test
    steps:
    - name: Checkout repository
      uses: actions/checkout@v2

    - name: Set server environment vars
      working-directory: ./server
      run: cp .env.example .env

    - name: Generate SSL certificate
      working-directory: ./server
      run: sh setup-dev-server.sh -c cert.crt -k cert.key -d 0

    - name: Build container image
      working-directory: ./server
      run: docker build -t ${{ env.IMAGE_NAME }} -f Dockerfile.gha .

    - name: Run server in background
      working-directory: ./server
      run: PORT=8000 && docker run --name medperf-api -d --network container:medperf-tests -e PORT=${PORT} -e SSL_FLAGS="--certfile=cert.crt --keyfile=cert.key" ${{ env.IMAGE_NAME }}

    - name: Run integration tests
      working-directory: ./server
      run: pip install -r test-requirements.txt --user && python seed.py --cert cert.crt

    - name: Install dependencies
      working-directory: .
      run: |
        python -m pip install --upgrade pip
        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
        if [ -f cli/requirements.txt ]; then pip install -e cli; fi

    - name: Run chestxray demo
      working-directory: .
      run: sh cli/cli_chestxray_tutorial_test.sh -f

    - name: Run client integration tests
      working-directory: .
      run: sh cli/cli_tests.sh