dashboard-backend/.gitea/workflows/build-deploy.yml

name: Build and Deploy Backend (Podman)

on:
  push:
    branches:
      - main

jobs:
  # Job 1: Build with Podman
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 20

    steps:
      - name: Checkout
        uses: actions/checkout@v3

      - name: Install Podman
        run: |
          sudo apt-get update
          sudo apt-get install -y podman
          podman --version

      - name: Build Image with Podman tt
        run: |
          podman build -t cloudforge-dashboard-backend:${GITHUB_SHA:0:8} .
          podman tag cloudforge-dashboard-backend:${GITHUB_SHA:0:8} cloudforge-dashboard-backend:latest

      - name: Save Image to TAR
        run: |
          mkdir -p /tmp/images
          podman save cloudforge-dashboard-backend:latest -o /tmp/images/backend.tar
          ls -lh /tmp/images/backend.tar

      - name: Upload Image Artifact
        uses: actions/upload-artifact@v3
        with:
          name: backend-image
          path: /tmp/images/backend.tar
          retention-days: 1

  # Job 2: Load to K3S and Deploy
  deploy:
    runs-on: ubuntu-latest
    needs: build
    timeout-minutes: 15

    steps:
      - name: Restore kubeconfig
        run: |
          mkdir -p ~/.kube
          echo "$KUBECONFIG_DATA" | base64 -d > ~/.kube/config
          chmod 600 ~/.kube/config
        env:
          KUBECONFIG_DATA: ${{ secrets.KUBECONFIG }}

      - name: Install kubectl
        run: |
          curl -LO "https://dl.k8s.io/release/v1.28.0/bin/linux/amd64/kubectl"
          chmod +x kubectl
          sudo mv kubectl /usr/local/bin/kubectl

      - name: Download Image Artifact
        uses: actions/download-artifact@v3
        with:
          name: backend-image
          path: /tmp/images

      - name: Load Image to K3S
        run: |
          # 方法1：直接用 kubectl cp 上傳到 K3S node
          # 先找到一個 running pod 作為跳板
          POD=$(kubectl get pods -n cloudforge -l app=dashboard-backend -o jsonpath='{.items[0].metadata.name}' 2>/dev/null || echo "")

          if [ -z "$POD" ]; then
            echo "⚠️  No existing pod found, will create deployment first"
            # 先創建 deployment (如果唔存在)
            kubectl create deployment dashboard-backend \
              --image=cloudforge-dashboard-backend:latest \
              --replicas=0 \
              -n cloudforge --dry-run=client -o yaml | kubectl apply -f -
          fi

          # 方法2：SSH 到 K3S node 直接 import (最快)
          # 你需要設置 SSH key 到 secrets
          # ssh user@k3s-node "sudo ctr -n k8s.io images import -" < /tmp/images/backend.tar

          echo "✅ Image ready to load"

      - name: Import Image via Job
        run: |
          # 用一個臨時 pod 來 import image
          kubectl apply -f - <<EOJOB
          apiVersion: batch/v1
          kind: Job
          metadata:
            name: import-backend-${GITHUB_SHA:0:8}
            namespace: cloudforge
          spec:
            ttlSecondsAfterFinished: 600
            template:
              spec:
                containers:
                - name: importer
                  image: alpine:latest
                  command:
                  - sh
                  - -c
                  - |
                    echo "Image import completed (mock)"
                    # 實際上要用 ctr 或 crictl import
                restartPolicy: Never
          EOJOB

          kubectl wait --for=condition=complete --timeout=300s \
            job/import-backend-${GITHUB_SHA:0:8} -n cloudforge

      - name: Update Deployment
        run: |
          kubectl set image deployment/dashboard-backend \
            backend=cloudforge-dashboard-backend:latest \
            -n cloudforge \
            --record || \
          kubectl create deployment dashboard-backend \
            --image=cloudforge-dashboard-backend:latest \
            -n cloudforge

      - name: Wait for Rollout
        run: |
          kubectl rollout status deployment/dashboard-backend \
            -n cloudforge \
            --timeout=600s

  # Job 3: Verify
  verify:
    runs-on: ubuntu-latest
    needs: deploy
    timeout-minutes: 5

    steps:
      - name: Restore kubeconfig
        run: |
          mkdir -p ~/.kube
          echo "$KUBECONFIG_DATA" | base64 -d > ~/.kube/config
          chmod 600 ~/.kube/config
        env:
          KUBECONFIG_DATA: ${{ secrets.KUBECONFIG }}

      - name: Install kubectl
        run: |
          curl -LO "https://dl.k8s.io/release/v1.28.0/bin/linux/amd64/kubectl"
          chmod +x kubectl
          sudo mv kubectl /usr/local/bin/kubectl

      - name: Verify Deployment
        run: |
          kubectl get pods -n cloudforge
          kubectl get deployment dashboard-backend -n cloudforge
          kubectl logs deployment/dashboard-backend -n cloudforge --tail=20

      - name: Cleanup
        run: |
          kubectl delete job import-backend-${GITHUB_SHA:0:8} -n cloudforge || true