ml_pipeline.yml

name: AlphaEdge Auto-Retrain Pipeline

on:
  schedule:
    - cron: '0 20 * * 5'   # Vendredi 20h UTC
  workflow_dispatch:

jobs:
  train-and-log:
    runs-on: ubuntu-latest
    timeout-minutes: 45    

    steps:
      - name: 📥 Checkout code
        uses: actions/checkout@v4    

      - name: 🐍 Setup Python 3.11  
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'
          cache: 'pip'

      - name: 📦 Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt
      
      - name: 🔄 Run ETL (Download & Prepare Data)
        run: python src/pipeline/etl.py
        env:
          PYTHONPATH: .

      - name: 🤖 Retrain & Push to Hugging Face
        run: python src/models/train.py
        env:
          PYTHONPATH: .                                
          PYTHONUNBUFFERED: 1
          HF_TOKEN: ${{ secrets.HF_TOKEN }}       
          MLFLOW_TRACKING_USERNAME: "SORADATA"
          MLFLOW_TRACKING_PASSWORD: ${{ secrets.HF_TOKEN }}

      - name: 📋 Generate job summary
        if: always()
        run: |
          echo "## AlphaEdge Weekly Retrain" >> $GITHUB_STEP_SUMMARY
          echo "- **Status**: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
          echo "- **Run date**: $(date +'%Y-%m-%d %H:%M UTC')" >> $GITHUB_STEP_SUMMARY