orcta-stack/.github/workflows/deploy.yml at master · Orctatech-Engineering-Team/orcta-stack · GitHub

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name: Deploy

on:
  push:
    branches: [master]

env:
  REGISTRY: ghcr.io
  IMAGE_NAME: orctatech-engineering-team/orcta-backend

jobs:
  build-and-push:
    name: Build & push Docker image
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    outputs:
      image_tag: ${{ steps.meta.outputs.version }}

    steps:
      - uses: actions/checkout@v4

      - name: Log in to GitHub Container Registry
        uses: docker/login-action@v3
        with:
          registry: ${{ env.REGISTRY }}
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

      - name: Extract image metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
          tags: |
            type=sha,prefix=,format=short
            type=raw,value=latest

      - name: Build and push
        uses: docker/build-push-action@v5
        with:
          context: .
          file: apps/backend/Dockerfile
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          build-args: |
            SERVICE_VERSION=${{ github.sha }}

  deploy:
    name: Deploy to VPS
    runs-on: ubuntu-latest
    needs: build-and-push
    environment: production

    steps:
      - uses: actions/checkout@v4

      - name: Deploy via SSH
        uses: appleboy/ssh-action@v1.0.3
        with:
          host: ${{ secrets.VPS_HOST }}
          username: ${{ secrets.VPS_USER }}
          key: ${{ secrets.VPS_SSH_KEY }}
          script: |
            # Fail fast:
            # -e  → exit on error
            # -u  → error on undefined variables
            # -o pipefail → fail if any command in a pipeline fails
            set -euo pipefail

            # Static deployment configuration
            REPO_NAME="orcta-stack"
            APP_DIR="/srv/apps/$REPO_NAME"

            # Branch that triggered the workflow (master in your case)
            BRANCH="${{ github.ref_name }}"

            # Ensure application directory exists (idempotent)
            mkdir -p "$APP_DIR"
            cd "$APP_DIR"

            # Sync repository state
            # Clone only once; subsequent deploys pull latest changes
            if [ ! -d ".git" ]; then
              echo "Cloning repository..."
              git clone git@github.com:Orctatech-Engineering-Team/$REPO_NAME.git .
            else
              echo "Pulling latest changes..."
              git fetch origin
              git checkout "$BRANCH"
              git pull origin "$BRANCH"
            fi

            # Hard stop if production environment file is missing
            # Prevents accidental boot with empty credentials/secrets
            if [ ! -f ".env.production" ]; then
              echo "Error: .env.production file not found."
              exit 1
            fi

            # Authenticate with GitHub Container Registry (GHCR)
            # Token is piped via stdin to avoid shell history leakage
            echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u "${{ github.actor }}" --password-stdin

            # Pull latest backend image built by CI
            docker pull ghcr.io/orctatech-engineering-team/orcta-backend:latest

            # Start infrastructure dependencies first
            # --env-file ensures Compose-time variable interpolation works
            IMAGE_TAG=latest docker compose --env-file .env.production -f docker-compose.prod.yml up -d db redis

            # Show container states (useful for debugging in CI logs)
            docker compose --env-file .env.production -f docker-compose.prod.yml ps


            # Run database migrations using the NEW backend image
            # --rm prevents orphaned containers
            IMAGE_TAG=latest docker compose --env-file .env.production -f docker-compose.prod.yml run --rm backend node src/db/migrate.js

            # Update backend container
            # Only backend is recreated → DB/Redis remain untouched
            IMAGE_TAG=latest docker compose --env-file .env.production -f docker-compose.prod.yml up -d backend

            # Remove dangling/unused images to control disk usage
            docker image prune -f