test_main_linux.yml

name: test_main

# Controls when the workflow will run
on:
  pull_request:
    branches:
    - main
  workflow_dispatch:

# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
  # This workflow contains a single job called "build"
  test:
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python: ['3.8', '3.9', '3.10']
    # The type of runner that the job will run on
    runs-on:  ${{ matrix.os }}
    
    steps:
      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
      - uses: actions/checkout@v3
        with:
          ref: ${{ github.event.pull_request.head.sha }}
      - name: Set up Python
        uses: actions/setup-python@v3
        with:
          python-version: ${{ matrix.python }}
      - name: Log in with Azure
        uses: azure/login@v1
        with:
          creds: '${{ secrets.AZURE_CREDENTIALS }}'
      - name: Install OpenQAOA
        run: |
          python -m pip install --user virtualenv
          python -m venv env
          source env/bin/activate
          python -m pip install --upgrade pip
          make dev-install-tests
          pip install ipykernel
      - name: Setup IBMQ account
        env:
          IBMQ_TOKEN: ${{ secrets.IBMQ_TOKEN }} 
        run: |
          IBMQ_TOKEN=$IBMQ_TOKEN
          source env/bin/activate
          python -c'from qiskit_ibm_provider import IBMProvider; import os; IBMProvider.save_account(os.environ.get("IBMQ_TOKEN"))'
      - name: Setup AWS
        env:
          ACCESS_KEY: ${{ secrets.ACCESS_KEY }} 
          SECRET_ACCESS_KEY: ${{ secrets.SECRET_ACCESS_KEY }} 
        run: |
          python -m pip install awscli
          aws configure set aws_access_key_id $ACCESS_KEY
          aws configure set aws_secret_access_key $SECRET_ACCESS_KEY
          aws configure set region us-west-1
          aws configure set output json
      - name: Build the docker stack
        run: |
          docker login -u AWS -p $(aws ecr get-login-password --region us-east-1) 292282985366.dkr.ecr.us-east-1.amazonaws.com
          docker network create local_bridge
          docker build -t amazon-braket-oq-dev .
          docker-compose up -d
      - name: Run tests
        run: |
          source env/bin/activate
          ipython kernel install --name "env" --user
          pytest tests/ src/*/tests -m 'not (qpu or sim)' --cov --cov-report=xml:coverage.xml
          
      - name: Upload coverage reports to Codecov with GitHub Action
        uses: codecov/codecov-action@v3
        with:
          token: ${{ secrets.CODECOV_TOKEN }} # not required for public repos
          files: ./coverage.xml


  docs:
    runs-on: ubuntu-latest
    steps:
      - name: Check out openqaoa
        uses: actions/checkout@v3
        with:
          ref: ${{ github.event.pull_request.head.sha }}
      - name: Set up Python
        uses: actions/setup-python@v3
        with:
          python-version:  3.8

      - name: Install OpenQAOA
        run: |
          python -m pip install --upgrade pip
          make dev-install-docs
              
      - name: Install qvm
        run: |
          find /usr/lib -name "libffi.so*"
          sudo ln -s /usr/lib/x86_64-linux-gnu/libffi.so /usr/lib/x86_64-linux-gnu/libffi.so.6
          wget -q https://downloads.rigetti.com/qcs-sdk/forest-sdk-2.23.0-linux-deb.tar.bz2
          tar -xf forest-sdk-2.23.0-linux-deb.tar.bz2
          cd forest-sdk-2.23.0-linux-deb/
          sudo apt-get update
          sudo apt-get install -y screen libblas-dev libblas3 libgfortran5 liblapack-dev liblapack3
          sudo ./forest-sdk-2.23.0-linux-deb.run
          qvm --version
          quilc --version
          echo "Starting qvm and quilc"
          screen -d -m qvm -S
          screen -d -m quilc -S
          cd ..
      
      - name: Build and test Sphinx docs
        run: |
          sudo apt-get install pandoc
          cd docs/
          make html