name: model-training
on: 
  push:
    branches:
      - mlmodel
jobs:
  run:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
      - uses: iterative/setup-cml@v1
      - name: Train model
        env:
          REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        run: |
          ls
          cd model_data/simulation_system 
          pip install -r requirements.txt
          python3 training.py --train-filepath ./model_build_data/change_data/rdsap_full/train_validation_data.parquet --test-filepath ./model_build_data/change_data/rdsap_full/test_data.parquet

          cd model_directory/RDSAP_CHANGE
          echo "## MODEL METRICS from registry" > report.md
          cat model_registry.csv >> report.md

          cml comment create report.md