admin-backend.yml

name: Admin Backend CI/CD

on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]
    paths:
      - "admin-system/backend/**"
      - "machine-learning/**"
      - ".github/**"

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: '${{ github.repository_owner }}/3fa-backend'

permissions:
  contents: read

jobs:
  ml-model:
    runs-on: ubuntu-latest
    permissions: write-all
    defaults:
      run:
        working-directory: machine-learning

    steps:
      - name: Checkout
        uses: actions/checkout@v3
  
      - name: Set up Python 3.11
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'
          cache: 'pip'
      
      - name: Install Machine Learning Dependencies
        run: pip install -r requirements.txt

      - name: Generate Machine Learning Model
        run: python model.py
        
      - name: Delete Old Artifacts
        uses: actions/github-script@v6
        id: artifact
        with:
          script: |
            const res = await github.rest.actions.listArtifactsForRepo({
              owner: context.repo.owner,
              repo: context.repo.repo,
            })

            res.data.artifacts
              .forEach(({ id }) => {
                github.rest.actions.deleteArtifact({
                  owner: context.repo.owner,
                  repo: context.repo.repo,
                  artifact_id: id,
                })
              })

      - name: Save Machine Learning Model
        uses: actions/upload-artifact@v3
        with:
          name: ml-model
          path: machine-learning/model.pth
          retention-days: 1
          
          
  build-test:
    runs-on: ${{ matrix.os }}
    needs: ml-model
    defaults:
      run:
        working-directory: admin-system/backend

    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest]

    steps:
    - name: Checkout
      uses: actions/checkout@v3

    - name: Set up Python 3.11
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'
        cache: 'pipenv'
    
    - name: Install pipenv
      run: curl https://raw.githubusercontent.com/pypa/pipenv/master/get-pipenv.py | python

    - name: Install Backend Dependencies
      run: |
        pipenv lock --dev
        pipenv sync --dev

    - name: Download Machine Learning Model
      uses: actions/download-artifact@v3
      with:
        name: ml-model
        path: admin-system/backend/instance/

    - name: Test with pytest
      run: pipenv run pytest --cov=api --cov-branch


  build-push-docker:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write
    needs: ml-model
    defaults:
      run:
        working-directory: admin-system/backend

    steps:
    - name: Checkout
      uses: actions/checkout@v3

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v2

    - name: Download Machine Learning Model
      uses: actions/download-artifact@v3
      with:
        name: ml-model
        path: admin-system/backend/instance/

    - name: Log in to the Container registry
      if: ${{ github.event_name != 'pull_request' }}
      uses: docker/login-action@v2
      with:
        registry: ${{ env.REGISTRY }}
        username: ${{ github.actor }}
        password: ${{ secrets.GITHUB_TOKEN }}

    - name: Extract metadata (tags, labels) for Docker
      id: meta
      uses: docker/metadata-action@v4
      with:
        images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
        tags: |
          type=raw,value=latest
    
    - name: Build Image
      id: build
      uses: docker/build-push-action@v4
      with:
        context: ./admin-system/backend
        platforms: linux/amd64
        load: true
        push: false
        tags: ${{ steps.meta.outputs.tags }}
        labels: ${{ steps.meta.outputs.labels }}
        cache-from: type=gha

    - name: Run Tests
      run: docker run --rm ${{ fromJSON(steps.build.outputs.metadata)['image.name'] }} /usr/src/.venv/bin/python -m pytest --cov=api --cov-branch

    - name: Build & Push Image
      uses: docker/build-push-action@v4
      with:
        context: ./admin-system/backend
        platforms: linux/amd64
        push: ${{ github.event_name != 'pull_request' }}
        tags: ${{ steps.meta.outputs.tags }}
        labels: ${{ steps.meta.outputs.labels }}
        cache-to: type=gha,mode=max