cml.yaml

name: model-training
on:
  schedule:
    - cron: '0 9 * * 1'  # Runs every Monday at 9:00 AM UTC
  workflow_dispatch:

jobs:
  retrain-and-commit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
      - uses: iterative/setup-cml@v1

      - name: Set up Python environment
        run: |
          python -m venv venv
          source venv/bin/activate
          pip install --upgrade pip
          pip install -r Streamlit/requirements.txt

      - name: Train model
        run: |
          source venv/bin/activate
          python Streamlit/train.py

      - name: Create report.md
        run: |
          cat "Streamlit/Training Report/results.txt" > "Streamlit/Training Report/report.md"
          echo "![](residuals.png)" >> "Streamlit/Training Report/report.md"
          
      - name: Commit results and create CML Report
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        run: |
          git config --global user.name "github-actions[bot]"
          git config --global user.email "github-actions[bot]@users.noreply.github.com"
          git fetch origin main
          git checkout main
          git pull origin main 
          git add "Streamlit/Training Report/results.txt"
          git add "Streamlit/Training Report/report.md"
          git add "Streamlit/Training Report/residuals.png"
          git add "Streamlit/light_weight_expected_strokes.pkl"
          git commit -m "Add model, results, and report"
          git push origin main
      
          source venv/bin/activate
          ls -al "Streamlit/Training Report"  # Verify that the report file exists
          cml comment create "'Streamlit/Training Report/report.md'" --token ${{ secrets.GITHUB_TOKEN }}