246 lines
8.2 KiB
Bash
Executable File
246 lines
8.2 KiB
Bash
Executable File
#!/usr/bin/env bash
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# =====================================================================
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# 使用 Podman 部署实验室预约平台
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#
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# 用法：
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# ./scripts/podman-deploy.sh up # 构建镜像并按 数据库->后端->前端 顺序启动（默认）
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# ./scripts/podman-deploy.sh build # 只构建镜像
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# ./scripts/podman-deploy.sh down # 停止并删除容器（保留数据库数据卷）
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# ./scripts/podman-deploy.sh down-v # 停止并删除数据目录（重建演示数据）
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# ./scripts/podman-deploy.sh status # 查看容器状态
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# ./scripts/podman-deploy.sh logs # 跟随查看日志
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# ./scripts/podman-deploy.sh diagnose # 输出镜像/容器/日志等诊断信息
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#
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# 背景：Podman 的 compose 实现（podman-compose）与 Docker Compose 在
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# 「镜像名解析、depends_on 依赖查找」上存在差异，直接 up 常见报错：
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# Error: short-name "lab-reservation_backend" did not resolve to an alias ...
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# Error: "lab-backend" is not a valid container, cannot be used as a dependency
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# 本脚本的处理方式：
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# 1) 先用 podman build 显式构建 lab-backend / lab-frontend 镜像，避免短名拉取；
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# 2) 再用 `up -d --no-deps` 逐个启动服务并等待就绪，绕过 compose 的依赖查找；
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# 3) down 时直接按容器名清理，避免 podman-compose 对不存在容器的报错噪音。
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# =====================================================================
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROJECT_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
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cd "${PROJECT_DIR}"
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# ---------- 服务/容器名 ----------
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MARIADB_CONTAINER="lab-mariadb"
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BACKEND_CONTAINER="lab-backend"
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FRONTEND_CONTAINER="lab-frontend"
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NETWORK_NAME="lab-reservation_lab-net"
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# ---------- 检查 podman ----------
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if ! command -v podman >/dev/null 2>&1; then
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echo "错误：未找到 podman，请先安装：https://podman.io/docs/installation" >&2
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exit 1
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fi
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# ---------- 选择可用的 compose 命令 ----------
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if podman compose version >/dev/null 2>&1; then
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COMPOSE=(podman compose)
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elif command -v podman-compose >/dev/null 2>&1; then
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COMPOSE=(podman-compose)
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else
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echo "错误：未找到 podman compose / podman-compose，请安装 podman-compose：" >&2
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echo " pipx install podman-compose 或 pip3 install --user podman-compose" >&2
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exit 1
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fi
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# ---------- 读取 .env 端口配置（不 source，避免值中含空格被当作命令执行） ----------
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read_env() {
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if [ -f .env ]; then
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grep -E "^$1=" .env 2>/dev/null | tail -n 1 | cut -d= -f2- | tr -d '"' || true
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fi
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}
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WEB_PORT="$(read_env WEB_PORT)"
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BACKEND_PORT="$(read_env BACKEND_PORT)"
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DATA_DIR_ENV="$(read_env DATA_DIR)"
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WEB_PORT="${WEB_PORT:-8088}"
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BACKEND_PORT="${BACKEND_PORT:-8080}"
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DATA_DIR="${DATA_DIR:-${DATA_DIR_ENV:-./mariadb-data}}"
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DATA_DIR="${DATA_DIR%/}"
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# ---------- 通用检查函数（inspect 在 podman / docker 下语义一致） ----------
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image_exists() {
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podman image inspect "$1" >/dev/null 2>&1
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}
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container_exists() {
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podman inspect "$1" >/dev/null 2>&1
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}
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# ---------- 构建镜像 ----------
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build_images() {
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echo "==> 构建后端镜像 lab-backend:latest（首次构建需拉取 Maven 依赖，可能较慢）"
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podman build -t lab-backend:latest .
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echo "==> 构建前端镜像 lab-frontend:latest"
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podman build -t lab-frontend:latest ./frontend
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if ! image_exists lab-backend:latest || ! image_exists lab-frontend:latest; then
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echo "错误：镜像构建失败，请查看上方构建日志" >&2
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exit 1
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fi
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echo "==> 镜像构建完成"
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}
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# ---------- 启动单个服务（--no-deps 绕过 compose 依赖查找，失败则回退） ----------
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start_service() {
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local service="$1"
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if ! "${COMPOSE[@]}" up -d --no-deps "${service}" 2>/dev/null; then
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"${COMPOSE[@]}" up -d "${service}"
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fi
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}
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# ---------- 等待 MySQL/MariaDB 就绪 ----------
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wait_mariadb() {
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local tries=60
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echo " 等待 MariaDB 就绪..."
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for _ in $(seq 1 "${tries}"); do
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if podman exec "${MARIADB_CONTAINER}" healthcheck.sh --connect --innodb_initialized >/dev/null 2>&1; then
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echo " MariaDB 已就绪"
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return 0
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fi
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sleep 2
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done
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echo " 警告：MariaDB 未在预期时间内就绪" >&2
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return 1
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}
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# ---------- 等待 HTTP 服务响应 ----------
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wait_http() {
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local name="$1" url="$2" tries="${3:-60}" code
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echo " 等待 ${name} 响应..."
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for _ in $(seq 1 "${tries}"); do
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code="$(curl -s -o /dev/null -w '%{http_code}' "${url}" || true)"
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if [ -n "${code}" ] && [ "${code}" != "000" ]; then
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echo " ${name} 已就绪：${url}（HTTP ${code}）"
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return 0
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fi
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sleep 2
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done
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echo " 警告：${name} 未在预期时间内响应：${url}" >&2
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return 1
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}
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# ---------- 打印部署结果 ----------
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print_result() {
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echo
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echo "部署完成："
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echo " 前端地址：http://localhost:${WEB_PORT}"
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echo " 后端地址：http://localhost:${BACKEND_PORT}"
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echo " 演示账号：admin/admin123、teacher1/123456、student1/123456"
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echo
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podman ps --filter "name=lab-" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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}
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# ---------- 诊断信息 ----------
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diagnose() {
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echo "== podman 版本 =="
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podman version --format '{{.Client.Version}} (server {{.Server.Version}})' 2>/dev/null || podman --version
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echo
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echo "== compose 命令 =="
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echo "${COMPOSE[*]}"
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echo
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echo "== 相关镜像 =="
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podman images --filter "reference=lab-*" --format "table {{.Repository}}\t{{.Tag}}\t{{.ID}}\t{{.Created}}"
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echo
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echo "== 相关容器 =="
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podman ps -a --filter "name=lab-" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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echo
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for container in "${MARIADB_CONTAINER}" "${BACKEND_CONTAINER}" "${FRONTEND_CONTAINER}"; do
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if container_exists "${container}"; then
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echo "== ${container} 最近日志 =="
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podman logs --tail 30 "${container}" 2>&1 || true
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echo
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fi
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done
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}
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# ---------- 停止并清理 ----------
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down() {
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# 静默调用 compose down（不存在容器时的报错噪音直接忽略），再按容器名兜底清理
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"${COMPOSE[@]}" down >/dev/null 2>&1 || true
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for container in "${FRONTEND_CONTAINER}" "${BACKEND_CONTAINER}" "${MARIADB_CONTAINER}"; do
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podman rm -f "${container}" >/dev/null 2>&1 || true
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done
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podman network rm "${NETWORK_NAME}" >/dev/null 2>&1 || true
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echo "已停止并删除容器（数据库数据卷保留）"
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}
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down_volumes() {
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down
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# 兼容历史配置：清理名为 *mariadb-data 的命名卷
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local volumes
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volumes="$(podman volume ls --format '{{.Name}}' 2>/dev/null | grep -E 'mariadb-data$' || true)"
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if [ -n "${volumes}" ]; then
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echo "${volumes}" | while read -r volume; do
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podman volume rm -f "${volume}" >/dev/null 2>&1 || true
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done
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fi
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# 当前配置：数据库数据持久化在宿主机目录（DATA_DIR，默认 ./mariadb-data）
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local absolute_dir
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absolute_dir="$(cd "$(dirname "${DATA_DIR}")" 2>/dev/null && pwd)/$(basename "${DATA_DIR}")" || absolute_dir=""
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case "${absolute_dir}" in
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"${PROJECT_DIR}"/*)
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if [ -d "${absolute_dir}" ]; then
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rm -rf "${absolute_dir}"
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echo "已删除数据库数据目录 ${absolute_dir}，下次启动将重建演示数据"
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fi
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;;
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"")
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echo "提示：数据目录 ${DATA_DIR} 无法解析，请手动检查"
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;;
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*)
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echo "提示：数据目录 ${DATA_DIR} 不在项目目录内，出于安全考虑未自动删除，请手动处理"
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;;
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esac
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}
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ACTION="${1:-up}"
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case "${ACTION}" in
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up)
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build_images
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echo "==> 1/3 启动数据库"
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start_service mariadb
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wait_mariadb || true
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echo "==> 2/3 启动后端"
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start_service backend
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if ! wait_http "后端" "http://localhost:${BACKEND_PORT}/api/labs" 60; then
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diagnose
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exit 1
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fi
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echo "==> 3/3 启动前端"
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start_service frontend
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if ! wait_http "前端" "http://localhost:${WEB_PORT}/" 60; then
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diagnose
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exit 1
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fi
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print_result
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;;
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build)
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build_images
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;;
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down)
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down
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;;
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down-v)
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down_volumes
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;;
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status)
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podman ps -a --filter "name=lab-" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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;;
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logs)
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podman logs -f --tail=100 "${BACKEND_CONTAINER}"
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;;
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diagnose)
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diagnose
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;;
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*)
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echo "用法：$0 [up|build|down|down-v|status|logs|diagnose]" >&2
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exit 1
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;;
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esac
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