.github/workflows/build_and_test.yml

name: Build and Test RAG Assistant

# This workflow triggers automatically whenever you push code to GitHub
on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  build:
    name: Build on ${{ matrix.os }} with Python ${{ matrix.python-version }}
    
    # --- THE MATRIX STRATEGY ---
    # This spins up 4 separate cloud computers simultaneously:
    # (Ubuntu + Py3.10), (Ubuntu + Py3.11), (Windows + Py3.10), (Windows + Py3.11)
    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest]
        python-version: ["3.10", "3.11"]
        
    runs-on: ${{ matrix.os }}

    steps:
      # Step 1: Download your code onto the cloud computer
      - name: Checkout Code
        uses: actions/checkout@v4

      # Step 2: Install the specific Python version from the matrix
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}
          cache: 'pip' # Speeds up future builds

      # Step 3: Install all your required Python packages
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install pytest pybind11 scikit-build-core ninja
          pip install -r requirements.txt

      # Step 4: Compile the C++ extension just like you did locally!
      - name: Compile C++ Tokenizer
        run: pip install ./src/fast_tokenizer

      # Step 5: Run your pytest suite to ensure the agent logic works
      - name: Run Unit Tests
        run: pytest test_agent.py -v