goodgo-platform/.github/workflows/deploy.yml

name: Deploy

on:
  push:
    branches: [main]
  workflow_dispatch:
    inputs:
      environment:
        description: Target environment
        required: true
        default: staging
        type: choice
        options:
          - staging
          - production

concurrency:
  group: deploy-${{ inputs.environment || 'staging' }}
  cancel-in-progress: false

env:
  REGISTRY: ghcr.io
  REGISTRY_URL: ghcr.io/${{ github.repository_owner }}

jobs:
  build-api:
    name: Build API Image
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

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

      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY_URL }}/goodgo-api
          tags: |
            type=sha,prefix=
            type=ref,event=branch
            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}

      - name: Build and push API image
        uses: docker/build-push-action@v6
        with:
          context: .
          file: apps/api/Dockerfile
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          cache-from: type=gha,scope=api
          cache-to: type=gha,mode=max,scope=api

  build-web:
    name: Build Web Image
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

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

      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY_URL }}/goodgo-web
          tags: |
            type=sha,prefix=
            type=ref,event=branch
            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}

      - name: Build and push Web image
        uses: docker/build-push-action@v6
        with:
          context: .
          file: apps/web/Dockerfile
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          cache-from: type=gha,scope=web
          cache-to: type=gha,mode=max,scope=web

  build-ai:
    name: Build AI Services Image
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

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

      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY_URL }}/goodgo-ai-services
          tags: |
            type=sha,prefix=
            type=ref,event=branch
            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}

      - name: Build and push AI Services image
        uses: docker/build-push-action@v6
        with:
          context: ./libs/ai-services
          file: libs/ai-services/Dockerfile
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          cache-from: type=gha,scope=ai
          cache-to: type=gha,mode=max,scope=ai

  deploy-staging:
    name: Deploy to Staging
    needs: [build-api, build-web, build-ai]
    if: github.event_name == 'push' || inputs.environment == 'staging'
    runs-on: ubuntu-latest
    environment: staging

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Deploy to staging
        env:
          DEPLOY_HOST: ${{ secrets.STAGING_HOST }}
          DEPLOY_USER: ${{ secrets.STAGING_USER }}
          DEPLOY_KEY: ${{ secrets.STAGING_SSH_KEY }}
          IMAGE_TAG: ${{ github.sha }}
        run: |
          mkdir -p ~/.ssh
          echo "$DEPLOY_KEY" > ~/.ssh/deploy_key
          chmod 600 ~/.ssh/deploy_key
          ssh-keyscan -H "$DEPLOY_HOST" >> ~/.ssh/known_hosts 2>/dev/null

          # Copy production compose and deploy
          scp -i ~/.ssh/deploy_key docker-compose.prod.yml "$DEPLOY_USER@$DEPLOY_HOST:~/goodgo/"
          scp -i ~/.ssh/deploy_key -r monitoring/ "$DEPLOY_USER@$DEPLOY_HOST:~/goodgo/monitoring/"

          ssh -i ~/.ssh/deploy_key "$DEPLOY_USER@$DEPLOY_HOST" << DEPLOY_SCRIPT
            cd ~/goodgo
            export IMAGE_TAG="${IMAGE_TAG}"
            export REGISTRY_URL="${REGISTRY_URL}"

            # Login to GHCR
            echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u "${{ github.actor }}" --password-stdin

            # Pull new images
            docker compose -f docker-compose.prod.yml pull api web ai-services

            # Rolling update — zero downtime
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait api
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait web
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait ai-services

            # Run database migrations
            docker compose -f docker-compose.prod.yml exec api npx prisma migrate deploy

            # Cleanup old images
            docker image prune -f
          DEPLOY_SCRIPT

      - name: Verify staging deployment
        env:
          STAGING_URL: ${{ secrets.STAGING_URL }}
        run: |
          for i in $(seq 1 10); do
            if curl -sf "$STAGING_URL/health" > /dev/null 2>&1; then
              echo "Staging deployment verified successfully"
              exit 0
            fi
            echo "Waiting for staging to be ready... ($i/10)"
            sleep 10
          done
          echo "Staging health check failed"
          exit 1

  deploy-production:
    name: Deploy to Production
    needs: [build-api, build-web, build-ai]
    if: inputs.environment == 'production'
    runs-on: ubuntu-latest
    environment: production

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Deploy to production
        env:
          DEPLOY_HOST: ${{ secrets.PRODUCTION_HOST }}
          DEPLOY_USER: ${{ secrets.PRODUCTION_USER }}
          DEPLOY_KEY: ${{ secrets.PRODUCTION_SSH_KEY }}
          IMAGE_TAG: ${{ github.sha }}
        run: |
          mkdir -p ~/.ssh
          echo "$DEPLOY_KEY" > ~/.ssh/deploy_key
          chmod 600 ~/.ssh/deploy_key
          ssh-keyscan -H "$DEPLOY_HOST" >> ~/.ssh/known_hosts 2>/dev/null

          scp -i ~/.ssh/deploy_key docker-compose.prod.yml "$DEPLOY_USER@$DEPLOY_HOST:~/goodgo/"
          scp -i ~/.ssh/deploy_key -r monitoring/ "$DEPLOY_USER@$DEPLOY_HOST:~/goodgo/monitoring/"

          ssh -i ~/.ssh/deploy_key "$DEPLOY_USER@$DEPLOY_HOST" << DEPLOY_SCRIPT
            cd ~/goodgo
            export IMAGE_TAG="${IMAGE_TAG}"
            export REGISTRY_URL="${REGISTRY_URL}"

            echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u "${{ github.actor }}" --password-stdin

            docker compose -f docker-compose.prod.yml pull api web ai-services

            # Rolling update with health checks
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait api
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait web
            docker compose -f docker-compose.prod.yml up -d --no-deps --wait ai-services

            docker compose -f docker-compose.prod.yml exec api npx prisma migrate deploy

            docker image prune -f
          DEPLOY_SCRIPT

      - name: Verify production deployment
        env:
          PRODUCTION_URL: ${{ secrets.PRODUCTION_URL }}
        run: |
          for i in $(seq 1 10); do
            if curl -sf "$PRODUCTION_URL/health" > /dev/null 2>&1; then
              echo "Production deployment verified successfully"
              exit 0
            fi
            echo "Waiting for production to be ready... ($i/10)"
            sleep 10
          done
          echo "Production health check failed"
          exit 1