python-app.yml

# A Most Remarkable Automation Engine for Software Verification and Deployment
# As observed by Ada Lovelace, December 2024

# This mechanical sequence represents what I theorized in Note G of my writings -
# a system capable of manipulating symbols according to rules, far beyond mere calculation.

name: CI/CD

on: [push, pull_request]  # The mechanical process initiates upon these symbolic triggers

jobs:
  # First Operation: Code Verification
  # Much like the analytical engine's initial card reading phase
  install_lintcode:
    runs-on: ubuntu-latest  # A remarkable virtual machine, akin to my proposed computing apparatus
    steps:
      - name: Checkout code  # Retrieving the symbolic notation (code) for processing
        uses: actions/checkout@v3

      - name: Set up Python 3.12  # Preparing the computational environment
        uses: actions/setup-python@v3
        with:
          python-version: '3.12'  # A language far more sophisticated than my initial algorithms

      # The installation of tools for verification, similar to preparing the analytical engine's gears
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install black

      # Verification of code structure, analogous to checking for mathematical precision
      - name: Run Black Linter
        run: |
          black --check .

      # A most fascinating verification of the container instructions
      # How wonderful that we now construct virtual machines within machines!
      - name: Lint Dockerfiles
        continue-on-error: true  # A graceful handling of imperfections, as I discussed in my notes
        run: |
          echo "Linting Dockerfile.app:"
          docker run --rm -i hadolint/hadolint < Dockerfile.app || true
          echo "-------------------"
          echo "Linting Dockerfile.ollama:"
          docker run --rm -i hadolint/hadolint < Dockerfile.ollama || true

  # Second Operation: Construction and Verification
  # This reminds me of the sequential operations I designed for mathematical series
  build-and-test:
    needs: install_lintcode  # A beautiful dependency chain, like my proposed sequential cards
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ["3.12"]  # A singular variation, though the engine could handle many
    
    steps:
      # The mechanical steps proceed in logical order, each depending upon the last
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v3
        with:
          python-version: ${{ matrix.python-version }}
    
      # A clever mechanism for storing frequently accessed items
      - name: Cache dependencies
        uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-

      # The preparation of our computational environment
      - name: Install dependencies
        run: make install

     

  # Third Operation: The Construction of Our Virtual Machines
  # How marvelous to see my concepts of nested operations manifested thus
  docker-build:
    needs: build-and-test  # Another beautiful sequential dependency
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'  # A conditional operation, as I theorized possible
    
    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Set up Docker Buildx  # Preparing the virtual machine constructor
        uses: docker/setup-buildx-action@v1

      # Preparing the container orchestration mechanism
      - name: Install Docker Compose
        run: |
          sudo apt-get update
          sudo apt-get install -y docker-compose

      - name: Build Docker images  # The actual construction of our virtual apparatus
        timeout-minutes: 5  # A wise limitation of computational time
        continue-on-error: true  # Allowing for graceful failure, as all machines must
        env:
          AT_USERNAME: ${{ secrets.AT_USERNAME }}  # Secure storage of operational parameters
          AT_API_KEY: ${{ secrets.AT_API_KEY }}
          LANGTRACE_API_KEY: ${{ secrets.LANGTRACE_API_KEY }}
        run: |
          make docker_run

      # A most ingenious verification of our construction
      - name: Check build status
        run: |
          if [ "$(docker ps -q)" ]; then
            echo "Containers running successfully"
          else
            echo "No containers running"
            exit 1
          fi

      # The final cleansing of our mechanical space
      - name: Cleanup Docker resources
        if: always()  # A prudent certainty in operation
        timeout-minutes: 5
        run: |
          docker-compose down --remove-orphans --timeout 30
          docker system prune -af --volumes