name: Build and Deploy

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  build-push:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Build and push Docker image
        run: |
          docker login registry.storedbox.net \
            -u ${{ secrets.DOCKER_USER }} \
            -p ${{ secrets.DOCKER_PASSWORD }}

          docker build -t registry.storedbox.net/ollama-mcp:${{ github.sha }} .
          docker tag registry.storedbox.net/ollama-mcp:${{ github.sha }} \
            registry.storedbox.net/ollama-mcp:latest

          docker push registry.storedbox.net/ollama-mcp:${{ github.sha }}
          docker push registry.storedbox.net/ollama-mcp:latest

  deploy:
    runs-on: ubuntu-latest
    needs: build-push
    if: github.ref == 'refs/heads/main'
    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Set up kubectl
        uses: azure/setup-kubectl@v3

      - name: Configure kubectl
        run: |
          echo "${{ secrets.KUBE_CONFIG }}" > kubeconfig
          export KUBECONFIG=kubeconfig

      - name: Apply k8s manifests
        run: |
          kubectl apply -f k8s/deployment.yaml --kubeconfig=kubeconfig

      - name: Rollout restart to pull latest image
        run: |
          kubectl rollout restart deployment/ollama-mcp \
            -n ai-inference --kubeconfig=kubeconfig
          kubectl rollout status deployment/ollama-mcp \
            -n ai-inference --kubeconfig=kubeconfig --timeout=120s

      - name: Health check
        run: |
          sleep 10
          MCP_IP=$(kubectl get svc ollama-mcp -n ai-inference \
            -o jsonpath='{.status.loadBalancer.ingress[0].ip}' \
            --kubeconfig=kubeconfig)
          curl -f http://${MCP_IP}:8090/health || exit 1
          echo "MCP server healthy at http://${MCP_IP}:8090"