geo/deploy/scripts/load-and-start.sh

#!/usr/bin/env bash
# load-and-start.sh — 在【离线目标服务器】上运行
# 加载镜像并使用 Docker Compose 或 k3s 启动服务
#
# 用法（解压部署包后）：
#   bash deploy.sh compose   # 默认，Docker Compose 部署
#   bash deploy.sh k3s       # k3s / Kubernetes 部署

set -euo pipefail

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
MODE="${1:-compose}"

# 读取打包时记录的元数据
if [[ -f "${SCRIPT_DIR}/.package-meta" ]]; then
  source "${SCRIPT_DIR}/.package-meta"
fi
IMAGE_TAG="${IMAGE_TAG:-latest}"
LOCAL_PREFIX="${LOCAL_PREFIX:-geo-rankly}"

# ─── 检查 .env ────────────────────────────────────────────────────────────────
if [[ ! -f "${SCRIPT_DIR}/.env" ]]; then
  echo "==> 未找到 .env，已从 .env.example 自动创建。"
  cp "${SCRIPT_DIR}/.env.example" "${SCRIPT_DIR}/.env"
  echo "    如需填写真实 API Key 或修改端口，可编辑 ${SCRIPT_DIR}/.env 后再次执行 bash deploy.sh"
fi

env_value() {
  local key="$1" default_value="$2" value
  value="$(grep -E "^${key}=" "${SCRIPT_DIR}/.env" | tail -1 | cut -d= -f2- || true)"
  value="${value%\"}"
  value="${value#\"}"
  printf '%s' "${value:-${default_value}}"
}

deploy_compose() {
  # ─── Step 1: 加载镜像 ───────────────────────────────────────────────────────
  echo "==> [1/3] 加载 Docker 镜像（可能需要几分钟）..."
  docker load -i "${SCRIPT_DIR}/images.tar"
  echo "    镜像加载完成"
  docker images | grep -E "geo-rankly|postgres|rabbitmq|redis|qdrant|minio" | head -20

  # ─── Step 2: 设置 IMAGE_REGISTRY 为本地前缀 ────────────────────────────────
  echo "==> [2/3] 配置离线镜像引用..."
  export IMAGE_REGISTRY="${LOCAL_PREFIX}"
  export IMAGE_TAG="${IMAGE_TAG}"

  # ─── Step 3: 启动服务 ───────────────────────────────────────────────────────
  echo "==> [3/3] 启动所有服务..."
  cd "${SCRIPT_DIR}"
  docker compose \
    -f docker-compose.yaml \
    -f docker-compose.offline.yaml \
    --env-file .env \
    up -d

  echo ""
  echo "✅ Docker Compose 部署完成！"
  echo ""
  echo "服务状态："
  docker compose -f docker-compose.yaml -f docker-compose.offline.yaml ps
  echo ""
  echo "查看日志：  docker compose -f docker-compose.yaml logs -f tenant-api"
  echo "停止服务：  docker compose -f docker-compose.yaml down"
  echo "管理界面："
  echo "  Tenant Web: http://<server-ip>:$(env_value FRONTEND_PORT 18080)"
  echo "  Ops Web:    http://<server-ip>:$(env_value OPS_WEB_PORT 18082)"
  echo "  RabbitMQ:   http://<server-ip>:$(env_value RABBITMQ_MGMT_PORT 15673)  (geo / geo_dev)"
  echo "  MinIO:      http://<server-ip>:$(env_value MINIO_CONSOLE_PORT 19001)   ($(env_value MINIO_ROOT_USER minioadmin) / $(env_value MINIO_ROOT_PASSWORD minioadmin))"
}

deploy_k3s() {
  local kubectl_cmd="kubectl"

  if command -v k3s >/dev/null 2>&1; then
    echo "==> [1/3] 导入镜像到 k3s containerd..."
    sudo k3s ctr images import "${SCRIPT_DIR}/images.tar"
    kubectl_cmd="sudo k3s kubectl"
  elif command -v kubectl >/dev/null 2>&1 && command -v ctr >/dev/null 2>&1; then
    echo "==> [1/3] 导入镜像到 containerd..."
    sudo ctr -n k8s.io images import "${SCRIPT_DIR}/images.tar"
  else
    echo "❌ 未找到 k3s/kubectl/ctr。请先安装 k3s，或改用：bash deploy.sh compose"
    exit 1
  fi

  echo "==> [2/3] 应用 k3s 清单..."
  ${kubectl_cmd} apply -k "${SCRIPT_DIR}/k3s"

  echo "==> [3/3] 查看服务状态..."
  ${kubectl_cmd} -n geo-rankly get pods,svc

  echo ""
  echo "✅ k3s 部署命令已执行。等待 Pod 全部 Running："
  echo "  ${kubectl_cmd} -n geo-rankly get pods -w"
  echo ""
  echo "查看日志："
  echo "  ${kubectl_cmd} -n geo-rankly logs deploy/tenant-api -f"
}

case "${MODE}" in
  compose|docker-compose|docker)
    deploy_compose
    ;;
  k3s|kubernetes)
    deploy_k3s
    ;;
  *)
    echo "用法：bash deploy.sh [compose|k3s]"
    exit 1
    ;;
esac