.github/workflows/deploy.yml

name: Deploy to HuggingFace

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

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'

    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt

    - name: Run tests
      run: |
        python -m pytest tests/ -v --tb=short

    - name: Lint with flake8
      run: |
        pip install flake8
        flake8 mcp_server --count --select=E9,F63,F7,F82 --show-source --statistics
        flake8 mcp_server --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics

  deploy:
    needs: test
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main' && github.event_name == 'push'

    steps:
    - uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'

    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install huggingface_hub

    - name: Login to HuggingFace
      env:
        HF_TOKEN: ${{ secrets.HF_TOKEN }}
      run: |
        huggingface-cli login --token $HF_TOKEN

    - name: Create model card and metadata
      run: |
        python -c "
        import json
        # Create model card
        with open('README.md', 'r') as f:
            readme = f.read()
        
        # Create metadata for HuggingFace
        metadata = {
            'library_name': 'ech0-mcp-server',
            'tags': [
                'mcp',
                'model-context-protocol',
                'ai',
                'cognitive-architecture',
                'ech0-prime',
                'consciousness',
                'scientific-computing',
                'api',
                'fastapi',
                'rest-api'
            ],
            'pipeline_tag': 'text-generation',
            'inference': False,
            'license': 'other'
        }
        
        with open('metadata.json', 'w') as f:
            json.dump(metadata, f, indent=2)
        "

    - name: Upload to HuggingFace
      env:
        HF_TOKEN: ${{ secrets.HF_TOKEN }}
      run: |
        # Upload the repository
        huggingface-cli repo create ech0-mcp-server --type model --organization ech0prime --private false || echo "Repository might already exist"
        
        # Upload files
        huggingface-cli upload ech0prime/ech0-mcp-server . --repo-type model
        
        # Set repository visibility to public
        huggingface-cli repo update ech0prime/ech0-mcp-server --private false