.github/workflows/cd-ml.yml

name: SONIX-ML Continuous Deployment

on:
  push:
    branches: [main]
  workflow_run:
    workflows: ["SONIX-ML Continuous Training"]
    types: [completed]
  # Allows for manual execution from the Actions tab
  workflow_dispatch:

jobs:
  deploy-to-huggingface:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout Repository
        uses: actions/checkout@v3
        with:
          # Fetch only the latest state to keep the runner lightweight
          fetch-depth: 1 
          lfs: true

      - name: Initialize Clean Deployment Environment
        env:
          HF_TOKEN: ${{ secrets.HF_TOKEN }}
        run: |
          # 1. Reset the local git state to remove historical binary conflicts
          rm -rf .git
          git init
          
          # 2. Configure Git LFS within the runner environment
          # This converts physical binary files into LFS pointers during the push
          git lfs install
          git lfs track "*.pkl"
          git lfs track "*.keras"
          git lfs track "*.h5"
          
          # 3. Set deployment identity using the standard GitHub Actions bot
          git config user.name "github-actions[bot]"
          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
          
          # 4. Prepare the production-ready commit
          git checkout -b main
          git add .
          git commit -m "deploy: production build for sonix-ml-api"
          
          # 5. Mirror the clean state to Hugging Face Spaces
          # Note: --force is required here to overwrite the HF history with the clean version
          git push --force https://SONIX-RUSH:$HF_TOKEN@huggingface.co/spaces/SONIX-RUSH/sonix-ml-api main