.github/workflows/mlops_pipeline.yml

name: MLOps CI/CD & Continuous Training Pipeline

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  lint-and-test:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout Repository
      uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: '3.12'
        cache: 'pip'

    - name: Install Python Dependencies
      run: |
        python -m pip install --upgrade pip
        pip install ruff pytest anyio httpx pandas numpy scikit-learn joblib xgboost fastapi uvicorn pydantic

    - name: Run Ruff Linter
      run: ruff check src/

    - name: Run Unit Tests
      run: pytest

  continuous-training-validation:
    needs: lint-and-test
    runs-on: ubuntu-latest
    steps:
    - name: Checkout Repository
      uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: '3.12'
        cache: 'pip'

    - name: Install Dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pandas numpy scikit-learn joblib xgboost fastapi uvicorn pydantic

    - name: Validate Model Retraining Performance
      run: python src/validate_retraining.py

  docker-build:
    needs: continuous-training-validation
    runs-on: ubuntu-latest
    steps:
    - name: Checkout Repository
      uses: actions/checkout@v4

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v3

    - name: Build Backend Container
      uses: docker/build-push-action@v5
      with:
        context: .
        file: ./Dockerfile
        push: false
        tags: customer-segmentation-api:latest