modify: worker 管理端点

.trae/documents/修复worker重启500与未响应.md

@@ -0,0 +1,42 @@
+# 修复 Worker 单副本重启 500：优雅处理「副本未响应管理指令」
+
+## 摘要
+单副本重启端点 `POST /api/v1/admin/workers/restart` 在目标 worker 不在线/无 `__admin__` 管理能力时，`_send_admin_cmd` 抛 `RuntimeError`，端点未捕获，被全局异常处理器记录后 re-raise，最终 ASGI 返回 500 并伴随 `net::ERR_FAILED`。需让该端点对「未响应/不在线/运行旧版」返回明确的非 500 结构化错误，同时改进错误文案以便运维定位。
+
+## 现状分析
+- [worker_admin.py](file:///home/chakcy/chongming-zenoh/src/chongming/app/routes/worker_admin.py#L60-L80)：`restart_worker` 直接 `await manager.restart_worker(...)`，无 try/except。对比 `restart_all`（L107 已捕获单副本失败不中断）、`update_worker_config`（L169-178 已捕获映射 4xx），唯独单副本端点无兜底。
+- [worker_manager.py](file:///home/chakcy/chongming-zenoh/src/chongming/app/core/worker_manager.py#L507-L553)：`_send_admin_cmd` 在 Zenoh QUERY 超时/无回复时 `raise RuntimeError("副本 <type>/<id> 未响应管理指令（可能不在线）")`（L544-547）。
+- [__init__.py](file:///home/chakcy/chongming-zenoh/src/chongming/app/__init__.py#L244-L255)：全局处理器仅记录 `logger.error(f"全局异常: {exc}")` 后 re-raise → 500。
+- 底层：报错实例 `worker_id=worker-0-52047` 是**旧版命名**（`worker-<index>-<pid>`，无 epoch 段）。新版 runtime 才生成 `worker-<index>-<epoch>-<pid>` 并声明 `__admin__`。故该副本极可能仍运行**旧版 chongming_worker**（未加载管理能力），管理层才会未响应。
+
+## 变更方案
+
+### 1. 单副本重启端点兜底 [worker_admin.py](file:///home/chakcy/chongming-zenoh/src/chongming/app/routes/worker_admin.py)
+- 在 `restart_worker` 中 `try: result = await manager.restart_worker(...)`。
+- `except Exception as e:`（noqa BLE001）→ `logger.warning(...)` 记录；若错误含「未响应/不在线」，抛 `HTTPException(status_code=502, detail=f"重启失败: {e}（该副本可能不在线或运行旧版 Worker，未加载管理能力，请先以新版重启其进程）")`；其余错误保持映射 502/500 语义（统一用 502 + detail=str(e) 即可）。
+- 效果：不再触发全局异常 handler / ASGI 500；前端 `restartOne` 已在其 catch 中 `ElMessage.error` 展示 `detail`，用户得到明确提示。
+
+### 2. 优化下发错误文案 [worker_manager.py](file:///home/chakcy/chongming-zenoh/src/chongming/app/core/worker_manager.py)
+- 将 L545-547 的超时错误文案改为：
+  `"副本 {worker_type}/{worker_id} 未响应管理指令（可能不在线，或该 Worker 运行旧版运行时未声明 __admin__ 管理能力）"`
+- 便于网关日志与前端 detail 直接反映根因。
+
+### 3. 前端（可选，本次不强制改）
+- `restartOne` 已能在非 2xx 时展示后端 `detail`，无需改动。仅确认错误提示文案来自后端 detail 即可。
+
+## 假设与决策
+- 「未响应」属**预期可解释的失败**，应返回 5xx（502）而非 200+ok:false：前端只对非 2xx 弹错，保持「消息清晰」。
+- 不修改全局异常处理器：它是通用兜底，无需为此特化。
+- 不修改 alive 判定/列表逻辑：`alive=true` 仅代表 liveliness token 存在，无法区分旧版进程；根因修复依赖「用新版 runtime 重启 worker 进程」，属运维动作，不写代码。
+
+## 验证步骤
+1. `.venv/bin/python -m py_compile src/chongming/app/routes/worker_admin.py src/chongming/app/core/worker_manager.py`。
+2. 重启网关（让其加载 CORS 与最新代码）。
+3. 用仍为旧版命名/未响应的 worker（如 `aibox_sophon_adapter/worker-0-52047`）调用 `POST /api/v1/admin/workers/restart?worker_type=aibox_sophon_adapter&worker_id=...`：
+   - 期望返回 JSON `{"detail":"重启失败: 副本 ... 未响应管理指令 ... 请先以新版重启其进程"}` 且 HTTP 502，不再打印「全局异常」，前端弹明确错误。
+4. 对在线且加载新版 runtime 的 worker 重启，验证仍返回 `{"success":true}`（未破坏正常路径）。
+5. `cd src/chongming-web && npx vue-tsc --noEmit`（如需改前端才跑；本次预计无前端改动）。
+6. （可选）确认 Worker 管理重启按钮不再触发浏览器 `net::ERR_FAILED`，而是展示后端错误消息。
+
+## 前置/运维提示（不写代码）
+- 要让 `aibox_sophon_adapter` 等 external worker 能被单副本精细化管理（重启/停止/config_set），需用本项目最新 `chongming-worker`（`uv pip install -e utils/worker` 已确保）**重启该 worker 进程**，使其加载新版 runtime 并声明 `worker/<type>/<id>/__admin__`。

README.md

@@ -28,6 +28,7 @@
 | **流媒体代理**        | ffmpeg + MediaMTX RTSP 流转发                                        |
 | **构建打包**          | PyInstaller / Nuitka 一键打包为独立可执行文件                        |
 | **Vue 3 前端**        | Element Plus UI、Pinia 状态管理、类型安全的 API 客户端               |
+| **Worker 运维管理**   | 前端经 Zenoh 向单个副本下发 restart/stop/改配置指令（超管），前端可视化列表 + 分页管理 |
 
 ---
 
@@ -207,18 +208,107 @@ uv run serve → FastAPI lifespan:
   2. setup_zenoh()             — Zenoh peer 会话
   3. setup_mqtt_broker()       — 内嵌 amqtt Broker（子进程 + 文件锁单例；
                                   `use_embedded_broker=false` 时跳过，改用外部 Broker）
-  4. setup_worker_manager()    — WorkerManager + 定期 liveliness 刷新
+  4. setup_worker_manager()    — WorkerManager + 定期 liveliness 刷新 + 网关登记（register_gateway，参与全局分摊）+ 该插件副本数经 resolved_count 按 launch_worker_count 从 cache/toml 解析
   5. load_workers()            — 按插件 [workers].load_mode 分派:
        inline   → 进程内 import 插件 → 启动 Worker 协程
        external → 跳过（独立进程运行，盘扫条目仅观测）
   5.1 setup_route_registry()   — 常驻订阅 chongming/routes/**，external 插件路由动态挂载/摘除
   6. validate_contracts()      — inline 插件三方契约校验，失败终止启动
   7. register_routes()         — inline 插件盘扫生成 HTTP 路由
-  8. setup_mqtt()              — MQTT Bridge（inline 主题静态收集 + external 主题动态推送）
+  8. setup_mqtt()              — MQTT Bridge（inline 主题静态收集 + external 主题动态推送；基于共享缓存的分布式锁保证全局单实例）
 ```
 
 ---
 
+## Worker 管理系统
+
+通过 Zenoh 向 `worker/<type>/<worker_id>/__admin__` 管理端点下发指令，**精细化控制单个 Worker 副本**（inline 与 external 进程插件共用同一管理协议）。提供 REST 管理端点 + Vue 前端页面，操作需超级管理员鉴权。
+
+### 管理协议
+
+每个用 Worker 框架（`chongming_worker.runtime.create_workers`）创建的副本都会注册一个管理 Queryable：
+
+```text
+worker/<type>/<worker_id>/__admin__
+```
+
+| 指令        | 说明                                                                   |
+| ----------- | ---------------------------------------------------------------------- |
+| `status`    | 查询副本状态                                                           |
+| `restart`   | 重启该副本，副本槽位（index）由管理循环驱动，重新生成新 `worker_id`（`worker-<index>-<epoch>-<pid>`）并经 liveliness 更新 |
+| `stop`      | 停止该副本                                                             |
+| `drain`     | **优雅排空**：摘除 liveliness/业务 Queryable 隔绝新请求，等待正在处理的在途请求完成后再退出，管理循环不重建（数量-1） |
+| `rescale`   | 按 `data.scale` 把**当前进程内**该类型副本数调整为指定值（`data:{"scale":N}`），并把 `[workers].count` 写回本进程侧配置 |
+| `config_set`| 更新 `[workers.config]` 运行时配置（路由配置除外）；成功则写回配置并重启该类型全部对应副本，任一失败返回失败信息 |
+
+### REST 管理端点（仅超管）
+
+| 方法   | 路径                                    | 说明                                   |
+| ------ | --------------------------------------- | -------------------------------------- |
+| `GET`  | `/api/v1/admin/workers`                 | 盘点全部副本（inline 本地注册 + external liveliness 发现） |
+| `POST` | `/api/v1/admin/workers/restart`         | 重启单个副本（`worker_type` / `worker_id` 查询参数） |
+| `POST` | `/api/v1/admin/workers/<type>/stop`     | 停止 single 副本 / 某插件全部副本      |
+| `GET`  | `/api/v1/admin/workers/<type>/config`   | 读取该插件的现有 `[workers.config]`（展示当前值） |
+| `POST` | `/api/v1/admin/workers/<type>/config`   | 更新配置（body `{updates:{k:v}}`），下发并重启 |
+| `POST` | `/api/v1/admin/workers/<type>/scale`    | 调整该类型副本数（body `{count:N}`），扩缩容 + 持久化 |
+
+> 旧版运行时未声明 `__admin__` 管理能力时，管理指令会超时（HTTP 502，见日志提示）。
+
+### 配置热更新（路由配置除外）
+
+- worker 回写插件 `config.toml` 的 `[workers]` 段（保留其他段），**拒绝写保留键**（路由/加载控制键如 `type` / `module` / `count` 等）。
+- `Plugin.reload(new_config)` 在互斥锁下先 `on_cleanup()` 释放旧资源、再 `on_init()` 用新配置重建客户端（如 AI/DB client），使配置**立即生效、无需重启网关**。
+- 仅 index0 副本落盘避免并发写冲突，其余副本同样应用新配置；任一失败则返回失败明细且不触发重启方式的成功确认。
+
+### 副本数量管理（扩缩容）
+
+同类 worker 的副本数可随时调整，并**持久化到配置**（重启网关后保持）：
+
+- **扩容**：新增副本槽位（`WorkerPool` 新增 `_managed_worker` 管理循环，新副本注册 liveliness 后可被负载均衡）。
+- **缩容**：随机挑选多余副本触发 **`drain`（优雅排空）**——先摘除 liveliness/业务 Queryable **隔绝新请求**，等待正在处理的**在途请求完成**后再关闭该副本（`in-flight` 计数实现），避免中断业务；管理循环不重建。
+- **目标数量持久化**：`rescale` 把 `[workers].count` 写回 `config.toml`，网关/进程重启后按新数量加载。
+- **统一协议**：inline 与 external 共用。网关对 inline 直接调整本进程 `WorkerPool`；对 external 经 Zenoh 向任一存活副本下发 `rescale`，由其**所在进程内**的池扩缩并写回自身配置（无需重启整个进程/容器）。
+
+### 全局副本数协调（多网关）
+
+多个网关共享同一份 `chongming-cache`（根 `config.toml` 的 `[cache]` 段）时，副本数「count」语义为**该类 worker 的全局目标总量**，由 chongming-cache 作为**单一事实来源**，各网关按在线数量自动分摊。这样只在任意一台网关执行扩缩容，即可全局生效。
+
+- **单一事实来源**：`count` 存于 cache 键 `worker:cm:counts:<type>`，在线网关 id 列表存 `worker:cm:gateways`，各网关分摊配额存 `worker:cm:quota:<type>:<gw>`（可观测）。
+- **网关登记/注销 + 心跳租约**：网关启动时 `register_gateway()` 加入在线列表，并每 15s `heartbeat_gateway()` 刷新自身时间戳；超过租约（60s）未心跳的死网关会被自动清理（crash/kill -9 也不残留，避免配额失真）。当前由 `CHONGMING_GATEWAY_ID` 环境变量指定（多实例需唯一，尤其**同宿主多网关必须显式指定**；缺省回退 `hostname`，稳定且重启不变，不残留）；关闭时 `unregister_gateway()` 移除，其余网关实时重算分摊。
+- **分摊算法**：`own_quota()` 将全局总量按在线网关 sorted(id) 均分，余量按序补前若干。`/admin/workers/<type>/scale`（body `{count:<全局总量>}`）写全局 count 后，各网关把自己的 session 副本调到自己的 quota。
+- **共享方式与后端**：单实例本机 `diskcache` 即可；**多实例必须共享同一 cache 后端**（同一共享卷的 diskcache 或 redis），否则各写各的 cache 无法收敛成全局量。
+- **启动优先级开关**：根 `config.toml` 的 `[cache].launch_worker_count` 决定网关启动时副本数的来源：
+
+  ```toml
+  [cache]
+  backend = "diskcache"          # "diskcache"（默认） | "redis"
+  cache_store_path = "./cache_data"
+  launch_worker_count = "toml"   # "toml"（默认)=启动用 toml 的 count 覆盖并写回 cache；"cache"=cache 为单一事实来源，toml 仅在缺失时引导
+  ```
+
+- **进程插件（external）不受该开关影响**：网关只对 **inline** 插件用 cache 解析启动副本数（见「启动流程」第 5 步 `load_workers`）；external 插件由外部编排按其自身配置 `config/workers/<type>/config.toml` 的 `count` 启动，不经网关、也不读 cache。运行时 `scale` 对 external 仍走「向存活副本下发 rescale」路径，同样与该开关无关。
+
+### 前端管理页
+
+`Worker 管理`（`/workers`，深色主题）：
+
+- **登录**：经 auth 插件 `POST /auth/login` 领取管理 Token（无需手填 JWT），从 JWT 解析当前用户与超管标识。
+- **鉴权**：仅 `is_superuser=true` 可管理；权限不足时前端/后端弹出对应提示（403）。
+- **列表分页**：展示副本（插件类型 / 副本 ID / 模式 inline|external / 状态），内置分页。
+- **操作**：单副本重启、批量重启（选中）、插件级重启全部副本、更新插件配置（弹窗展示现有配置值，点行带入编辑）、**调整副本数量**（当前数 + `el-input-number` 设目标 + 应用，可扩缩容）。
+- **auth 核心插件**：配置不可更改，不在列表中展示（`Worker` 列表自动过滤 `worker_type == "auth"`）。
+- 调小副本数会**触发优雅排空**并在前端确认提示中说明。
+
+### external（进程）插件同样可管理
+
+external 副本走同一 `__admin__` Queryable，路由发现、指令下发与扩缩容（`rescale`）与 inline 一致。**前提**：
+
+1. external 容器运行的是含管理能力（`__admin__` + `reload` + `rescale`）的新版 `chongming-worker` 框架；
+2. `config_set` / `rescale` 由副本在**其进程 cwd** 下写 `config/workers/<type>/config.toml`，external 容器需挂载与网关同款配置目录才能写回网关侧配置（含 `[workers].count` 持久化）；
+3. 纯自定义语言（如 Rust `rsdemo`）进程插件需自行实现 `__admin__` Queryable + liveliness + 数量管理，否则只能发现、无法改写配置或扩缩容。
+
+---
+
 ## 端点类型与路由注册
 
 ### 端点类型
@@ -482,6 +572,23 @@ response_topic = "/board_ping/response"     # 可选，响应主题；默认 "<
 - 多条自定义主题按配置顺序匹配，先匹配者优先；内置 `chongming/...` 接口最后兜底。
 - 全局 `[<env>.mqtt].custom_topics` 仍可作为通用兜底（不依赖具体插件时使用，可选）。
 
+### MQTT Bridge 单例（多实例免重复响应）
+
+MQTT Bridge 是**网关进程内**的 MQTT 客户端组件，负责订阅主题并把请求经 `WorkerManager` 转发给 Worker、回发 `/response`。为了让「同一条请求只被消费一次、只回一份响应」，Bridge 的启动采用**基于共享缓存的分布式锁**（`chongming-cache` 提供，`DistributedLock`），而不再使用本机文件锁。
+
+- **抢锁机制**：启动时 `set_nx`（SET NX + TTL 租约）原子抢锁，key 为 `mqtt_bridge`；抢到锁的网关才启动 Bridge，其余网关跳过。
+- **租约续约**：持锁网关后台定期 `touch` 续约；若持锁网关宕机/失联，租约到期后锁自动释放，其他网关可重新抢到（重启后生效）。
+- **受保护释放**：关闭时仅当 token 仍匹配（仍是自己持有）才删除，绝不误删其他网关抢到的锁。
+
+```toml
+[cache]
+backend = "redis"            # 跨主机收敛必须用 redis（或共享卷 diskcache）
+```
+
+- **关键条件**：跨机器收敛依赖**共享缓存后端**（与「全局副本数协调」同一 `[cache]`，单一事实来源）。仅 `redis`（或共享卷的 `diskcache`）后端时，不同物理机上的网关才会看到同一把锁，真正全局单 Bridge。
+- **`use_embedded_broker = true`（各机内嵌独立 Broker）**：各机 Broker 互不相连、本身不产生重复响应；此时全局单 Bridge 只会连到持锁网关那台机器的 Broker。
+- **`use_embedded_broker = false`（共享外部 Broker）**：原先 N 台网关的 N 个 Bridge 会共同订阅同一批主题，导致一条请求被各消费一次、各回一份响应；改用分布式锁后全局只有一个 Bridge 消费，彻底规避重复响应。
+
 ### 请求负载格式（信封协议）
 
 MQTT 请求负载为信封结构，控制字段与业务数据分离：
@@ -655,6 +762,7 @@ uv pip install -e utils/<name>            # 安装/更新工具包子包
 | 字段                 | 位置                  | 说明                                    |
 | -------------------- | --------------------- | --------------------------------------- |
 | `count`              | `<插件>/config.toml`  | Worker 副本数（`[workers]` 节）         |
+| `launch_worker_count`| `根 config.toml`      | 启动时副本数来源：`"toml"`=用 toml count 覆盖 cache（默认）；`"cache"`=以 cache 为单一事实来源（`[cache]` 节） |
 | `router_prefix`      | `<插件>/config.toml`  | API 路由前缀                            |
 | `defaults.timeout`   | `<插件>/config.toml`  | 默认超时（秒）                          |
 | `defaults.cacheable` | `<插件>/config.toml`  | 是否缓存 RPC 结果                       |

config.toml

@@ -17,6 +17,11 @@ job_store_path = "scheduler_jobs.db"
 backend = "diskcache"          # "diskcache"（默认） | "redis"
 cache_store_path = "./cache_data"
 
+# 启动时该类 worker 的全局副本数优先来源（指 config/workers/<type>/config.toml 的 count）：
+#   "toml"  （默认） = 经典模式：启动时用 toml 的 count 覆盖 cache 并写回为新的全局总量
+#   "cache"          = 全局模式：chongming-cache 为单一事实来源，toml 仅在 cache 缺失时引导
+launch_worker_count = "toml"
+
 # redis 后端专用（backend = "redis" 时生效，均有默认值）
 # redis_host = "127.0.0.1"
 # redis_port = 6379
@@ -50,7 +55,9 @@ access_sample_rate = 0.1
 allow_credentials = true
 allow_headers = ["*"]
 allow_methods = ["*"]
-allow_origins = ["*"]
+# 注意：allow_credentials=true 时 allow_origins 不能为 ["*"]（starlette 会丢弃该 header），
+# 需显式列出来源；本地前端 dev 为 http://localhost:5173。
+allow_origins = ["http://localhost:5173", "http://127.0.0.1:5173"]
 
 [development.mqtt]
 enabled = true

pyproject.toml

@@ -56,8 +56,6 @@ url = "http://124.71.68.6:3000/api/packages/chongming/pypi/simple/"
 [[tool.uv.index]]
 url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
 
-[tool.uv.sources]
-
 [project.scripts]
 gunicorn = "chongming:gunicorn_serve"
 serve = "chongming:serve"

src/chongming/app/__init__.py

@@ -22,7 +22,7 @@ from chongming_config import get_config
 from .core.logger import get_logger
 from .core.static_files import SVFSStaticFiles
 from .core import lifespan_setup, call_stats
-from .routes import storage_router, stats_router
+from .routes import storage_router, stats_router, worker_admin_router
 
 
 config = get_config()
@@ -49,6 +49,9 @@ async def lifespan(app: FastAPI):
     # 4. WorkerManager
     manager = lifespan_setup.setup_worker_manager(app, session)
 
+    # 4.1 全局副本数协调：把当前网关登记进在线列表，供按在线网关分摊 quota
+    manager.register_gateway()
+
     # 5. 插件加载（混合模式：inline 进程内加载；external 由独立进程运行，
     #    其路由经 Zenoh 动态注册——进程编排交给 Docker/K8s，网关不拉起进程）
     worker_tasks, custom_routers, inline_types, external_types = (
@@ -117,6 +120,9 @@ async def lifespan(app: FastAPI):
     # 4.5 取消后台统计/审计任务
     await call_stats.shutdown()
 
+    # 4.6 全局副本数协调：关闭时把当前网关从在线列表移除（其余网关将重新分摊）
+    manager.unregister_gateway()
+
     # 5. 关闭 Zenoh 会话
     session.close()
     logger.info("Zenoh 会话已关闭")
@@ -270,3 +276,4 @@ if vfs_db_path := config[env].get("file_system", {}).get("path", None):
 
 app.include_router(storage_router)
 app.include_router(stats_router)
+app.include_router(worker_admin_router)

src/chongming/app/core/lifespan_setup.py

@@ -8,7 +8,7 @@ import asyncio
 import socket
 import sys
 
-from chongming_cache import Cache
+from chongming_cache import Cache, DistributedLock
 from fastapi import FastAPI
 import zenoh
 
@@ -259,7 +259,10 @@ def setup_zenoh(app: FastAPI) -> zenoh.Session:
 def setup_worker_manager(app: FastAPI, session: zenoh.Session) -> WorkerManager:
     """创建 WorkerManager，启动定期刷新任务，并存入 app.state。"""
     cache = Cache.from_config(config["cache"])
-    manager = WorkerManager(session, cache)
+    launch_worker_count = str(
+        config["cache"].get("launch_worker_count", "toml")
+    ).lower()
+    manager = WorkerManager(session, cache, launch_worker_count=launch_worker_count)
     app.state.worker_manager = manager
 
     refresh_task = asyncio.create_task(manager.refresh_workers())
@@ -429,7 +432,9 @@ async def load_workers(app: FastAPI, session: zenoh.Session, manager: WorkerMana
     for wc in inline_plugins:
         module_name = wc["module"]
         factory_name = wc["factory"]
-        count = wc["count"]
+        # count 以 chongming-cache 为单一事实来源：cache 有值时用 cache 的全局总量，
+        # 否则用配置值引导并写回 cache（多网关共享同一 cache 时自动对齐）。
+        count = manager.resolved_count(wc["type"], wc["count"])
         worker_type = wc["type"]
         worker_config = wc["config"]
 
@@ -608,12 +613,17 @@ async def setup_mqtt(app: FastAPI, worker_manager: WorkerManager) -> MQTTBridge
     # Broker 来源：use_embedded_broker=true 时内嵌 amqtt Broker 子进程已在
     # lifespan 第 3 步启动（setup_mqtt_broker + 文件锁单例）；false 时连接外部 Broker。
 
-    # 原子锁确保只有一个 worker 启动 MQTT Bridge
-    if not _acquire_singleton_lock("mqtt_bridge"):
-        logger.info("MQTT Bridge 已由其他 worker 启动，跳过")
+    # 排他锁：基于共享缓存（redis / 共享卷 diskcache），保证全局只有一个 Bridge 消费。
+    # 相比原文件锁，可跨多台主机收敛——多实例共享同一个外部 Broker 时，
+    # 避免一条 MQTT 请求被 N 台网关上各自消费、各回一份响应。
+    bridge_lock = DistributedLock(worker_manager.cache, "mqtt_bridge")
+    if not bridge_lock.acquire():
+        logger.info(
+            "MQTT Bridge 已由其他网关实例持有（分布式锁），本网关跳过，"
+            "以规避共享 Broker 下单请求多响应"
+        )
         return None
-    # 记录本进程持有锁，关闭时由持有者释放（避免误删其他 worker 的锁）
-    app.state.mqtt_bridge_lock_acquired = True
+    app.state.mqtt_bridge_lock = bridge_lock
 
     bridge = MQTTBridge(
         worker_manager=worker_manager,
@@ -625,6 +635,7 @@ async def setup_mqtt(app: FastAPI, worker_manager: WorkerManager) -> MQTTBridge
     )
     app.state.mqtt_bridge = bridge
     await bridge.start()
+    bridge_lock.start()  # 后台续约租约，防止持有方宕机/长暂停导致锁被错误抢走
     # 把 Bridge 挂接给常驻路由注册表（动态主题 + 补推已到达的元信息）
     registry = getattr(app.state, "route_registry", None)
     if registry is not None:
@@ -640,8 +651,11 @@ async def shutdown_mqtt(app: FastAPI):
     bridge: MQTTBridge | None = getattr(app.state, "mqtt_bridge", None)
     if bridge and bridge.is_running:
         await bridge.stop()
-    if getattr(app.state, "mqtt_bridge_lock_acquired", False):
-        _release_singleton_lock("mqtt_bridge")
+    # 停止续约并受保护释放分布式锁（仅本网关仍持有时删除）
+    bridge_lock = getattr(app.state, "mqtt_bridge_lock", None)
+    if bridge_lock is not None:
+        await bridge_lock.stop()
+        bridge_lock.release()
     await shutdown_mqtt_broker(app)
 
 

src/chongming/app/core/worker_manager.py

@@ -1,7 +1,10 @@
 import asyncio
 import concurrent.futures
 import hashlib
+import os
 import random
+import socket
+import time
 import orjson
 from typing import Any, AsyncGenerator, Dict, List, Optional
 import zenoh
@@ -10,6 +13,17 @@ from .logger import get_logger
 
 logger = get_logger("worker_manager")
 
+# ── 全局副本数（chongming-cache 单一事实来源）──
+# 多网关共用同一 cache（单实例=本地 diskcache，多实例=共享卷/redis），
+# 「count」语义 = 该类 worker 的**全局目标总量**，各网关按在线数量分摊。
+_SCALE_DESIRED_KEY = "worker:cm:counts:{type}"      # 全局目标总量（int）
+_SCALE_GATEWAYS_KEY = "worker:cm:gateways"          # 在线网关列表：[[id, 最近心跳 ts], ...]（JSON）
+_SCALE_QUOTA_KEY = "worker:cm:quota:{type}:{gw}"    # 各网关分摊配额（int）
+
+# 在线网关租约（秒）：网关心跳每 refresh_interval(15s) 更新一次自身 ts，超过 LEASE 未刷新
+# 视为离线的死网关，在下一次读写时被清理。容忍多次漏跳，且 crash/kill -9 不残留。
+_GATEWAY_LEASE = 60
+
 _SENTINEL = object()  # 哨兵值，用于标记"No reply received"
 
 # Zenoh RPC 专用线程池：隔离于 asyncio.to_thread 的全局默认池
@@ -50,13 +64,133 @@ class WorkerManager:
     2. 本地：通过 register_worker() 直接注册（用于同进程 worker）
     """
 
-    def __init__(self, session: zenoh.Session, cache: Optional[Cache] = None):
+    def __init__(self, session: zenoh.Session, cache: Optional[Cache] = None,
+                 launch_worker_count: str = "toml"):
         self.session = session
         self.cache = cache
+        # 启动时全局副本数的优先来源："toml"=用 toml 的 count 覆盖 cache(经典模式)；
+        # "cache"=以 cache 为单一事实来源。对应 config.toml [cache].launch_worker_count。
+        self._launch_worker_count = launch_worker_count
         self._workers_cache: Dict[str, List[str]] = {}  # type -> list of worker key_exprs
         self._local_workers: Dict[str, List[str]] = {}   # type -> list of locally registered workers
         self._lock = asyncio.Lock()
         self._refresh_interval = 15  # seconds
+        # 当前网关心跳标识：优先环境变量（多实例需唯一，尤其同宿主多网关须显式指定），
+        # 否则回退 hostname（稳定，重启不变——避免用 PID 导致每次重启标识变化、旧条目
+        # 残留撑大在线列表，进而让配额计算失真把副本全排空）。用于全局副本数按在线网关分摊。
+        self._gateway_id: str = (
+            os.environ.get("CHONGMING_GATEWAY_ID") or socket.gethostname()
+        )
+
+    # ── 全局副本数协调（chongming-cache 单一事实来源）────────────
+
+    def _scale_desired_key(self, worker_type: str) -> str:
+        return _SCALE_DESIRED_KEY.format(type=worker_type)
+
+    def _scale_quota_key(self, worker_type: str) -> str:
+        return _SCALE_QUOTA_KEY.format(type=worker_type, gw=self._gateway_id)
+
+    def _read_gateways_raw(self) -> List[List]:
+        """读取在线网关原始列表 [[id, ts], ...]。"""
+        if self.cache is None:
+            return []
+        return list(self.cache.get(_SCALE_GATEWAYS_KEY) or [])
+
+    def _write_gateways(self, gws: List[List]) -> None:
+        """写回在线网关列表（去重，按 id 稳定）。"""
+        if self.cache is None:
+            return
+        dedup = {}
+        for gw_id, ts in gws:
+            dedup.setdefault(gw_id, ts)  # 保序去重
+        self.cache[_SCALE_GATEWAYS_KEY] = [[gw_id, ts] for gw_id, ts in dedup.items()]
+
+    def _prune_gateways(self, gws: List[List]) -> List[List]:
+        """剔除超过租约未心跳的死网关，写回清理结果。
+
+        兼容旧版残留：旧格式为纯字符串 id 列表（无心跳 ts），视为失效，仅保留
+        [[id, ts], ...] 两元组且 ts 在租约内的在线网关。
+        """
+        deadline = time.time() - _GATEWAY_LEASE
+        alive: List[List] = []
+        for entry in gws:
+            if not isinstance(entry, (list, tuple)) or len(entry) != 2:
+                continue  # 旧格式/畸形条目视为失效，一并清理
+            gw_id, ts = entry
+            if isinstance(ts, (int, float)) and isinstance(gw_id, str) and ts >= deadline:
+                alive.append([gw_id, ts])
+        if len(alive) != len(gws):
+            self._write_gateways(alive)
+        return alive
+
+    def _gateways(self) -> List[str]:
+        """读取在线网关 id 列表（先按心跳租约清理僵尸条目，杜绝死网关残留）。"""
+        gws = self._prune_gateways(self._read_gateways_raw())
+        return [gw_id for gw_id, _ in gws]
+
+    def register_gateway(self) -> None:
+        """把当前网关登记进在线列表（带当前心跳时间戳），参与全局分摊。启动时调用一次。"""
+        if self.cache is None:
+            return
+        gws = self._prune_gateways(self._read_gateways_raw())
+        gws = [[gw_id, ts] for gw_id, ts in gws if gw_id != self._gateway_id]
+        gws.append([self._gateway_id, time.time()])
+        self._write_gateways(gws)
+
+    def heartbeat_gateway(self) -> None:
+        """周期性地刷新自身心跳 ts，保持在线；同时清理死网关。由 refresh_workers 循环调用。"""
+        if self.cache is None:
+            return
+        gws = self._prune_gateways(self._read_gateways_raw())
+        gws = [[gw_id, ts] for gw_id, ts in gws if gw_id != self._gateway_id]
+        gws.append([self._gateway_id, time.time()])
+        self._write_gateways(gws)
+
+    def unregister_gateway(self) -> None:
+        """关闭时从在线列表移除当前网关（并清理死网关）。"""
+        if self.cache is None:
+            return
+        gws = self._prune_gateways(self._read_gateways_raw())
+        gws = [[gw_id, ts] for gw_id, ts in gws if gw_id != self._gateway_id]
+        self._write_gateways(gws)
+
+    def resolved_count(self, worker_type: str, default: int) -> int:
+        """获取该类 worker 的全局目标总量。
+
+        依 [cache].launch_worker_count 决定启动优先级：
+          - "toml"（经典）：始终用 toml 的 count（default）覆盖 cache 并写回为新的全局总量；
+          - "cache"（全局）：cache 为单一事实来源，缺失时才用 toml 引导并写回。
+        """
+        if self.cache is None:
+            return int(default)
+        key = self._scale_desired_key(worker_type)
+        total = max(0, int(default))
+        if self._launch_worker_count == "toml":
+            # 经典模式：toml count 覆盖并写回 cache
+            self.cache[key] = total
+            return total
+        if key in self.cache:
+            return int(self.cache[key])
+        self.cache[key] = total
+        return total
+
+    def own_quota(self, worker_type: str, total: int) -> int:
+        """在「count=全局总量」语义下，计算当前网关应承担的副本数（分摊）。
+
+        单网关（本场景）即总量本身；多网关按在线 id 排序均分，余量按序补前若干。
+        结果写回 cache（observability），并在全局下发给各网关后各自按其 quota 调整。
+        """
+        total = max(0, int(total))
+        gws = sorted(self._gateways())
+        if not gws:
+            quota = total
+        else:
+            base, rem = divmod(total, len(gws))
+            idx = gws.index(self._gateway_id) if self._gateway_id in gws else 0
+            quota = base + (1 if idx < rem else 0)
+        if self.cache is not None:
+            self.cache[self._scale_quota_key(worker_type)] = quota
+        return quota
 
     def register_worker(self, worker_type: str, worker_id: str):
         """
@@ -79,6 +213,11 @@ class WorkerManager:
                 self._local_workers[worker_type].remove(key_expr)
             except ValueError:
                 pass
+        # 同步从存活缓存剔除：已关闭/被 drain 的 inline 副本若仍留在 _workers_cache，
+        # 会在下次 liveliness 刷新（15s）前被 list_workers 误判为 external 并残留显示。
+        cache = self._workers_cache.get(worker_type)
+        if cache and key_expr in cache:
+            self._workers_cache[worker_type] = [k for k in cache if k != key_expr]
 
     async def refresh_workers(self):
         """定期刷新存活 worker 列表（合并 Zenoh liveliness + 本地注册）"""
@@ -105,6 +244,11 @@ class WorkerManager:
                 async with self._lock:
                     self._workers_cache = new_cache
                 logger.debug(f"Worker 存活列表更新: {self._workers_cache}")
+                # 3. 网关心跳：刷新自身在线时间戳并清理死网关，保持在线列表准确
+                try:
+                    self.heartbeat_gateway()
+                except Exception as e:  # noqa: BLE001
+                    logger.error(f"网关心跳失败: {e}")
             except Exception as e:
                 logger.error(f"刷新 worker 列表失败: {e}")
             await asyncio.sleep(self._refresh_interval)
@@ -448,3 +592,278 @@ class WorkerManager:
             f"Worker '{worker_type}' 调用失败 (已尝试 {len(tried_workers)} 个 Worker, "
             f"共 {retries + 1} 次, timeout={timeout}s): {last_error}"
         )
+
+    # ------------------------------------------------------------------
+    # 管理能力：盘点 worker 实例 + 精细化控制单个副本（admin Queryable）
+    #
+    # 单副本协议（worker 框架声明）：worker/<type>/<worker_id>/__admin__
+    #   POST {"data": {"cmd": "restart"}}  平滑退出并以新 worker_id 重建
+    #   POST {"data": {"cmd": "stop"}}     平滑退出且不自动重建
+    #   （无 cmd / GET）                     返回副本实时状态
+    # ------------------------------------------------------------------
+
+    def list_workers(self) -> List[Dict[str, Any]]:
+        """
+        盘点当前全部 worker 实例。
+
+        合并 Zenoh liveliness 与本地注册表：
+          - 仅出现在本地注册表 / 也出现在 liveliness 的 = inline（网关进程内加载）
+          - 仅出现在 liveliness 的 = external（独立进程）
+        每个实例含 worker_type / worker_id / mode / alive。
+
+        Returns:
+            List[{"worker_type", "worker_id", "mode"}]
+        """
+        result: List[Dict[str, Any]] = []
+        # 本地注册（inline）：type -> [key]，key 形如 "worker/<type>/<id>"
+        local_keys: Dict[str, List[str]] = {
+            t: list(v) for t, v in self._local_workers.items()
+        }
+        for wtype, keys in local_keys.items():
+            for key in keys:
+                parts = key.split("/")
+                wid = parts[2] if len(parts) >= 3 else key
+                result.append({
+                    "worker_type": wtype,
+                    "worker_id": wid,
+                    "mode": "inline",
+                    "alive": True,
+                })
+        # liveliness（inline 亦会出现，去重；其余为 external）
+        known = {(r["worker_type"], r["worker_id"]) for r in result}
+        for wtype, keys in self._workers_cache.items():
+            for key in keys:
+                parts = key.split("/")
+                if len(parts) < 3:
+                    continue
+                wid = parts[2]
+                if (wtype, wid) in known:
+                    continue
+                result.append({
+                    "worker_type": wtype,
+                    "worker_id": wid,
+                    "mode": "external",
+                    "alive": True,
+                })
+        result.sort(key=lambda w: (w["worker_type"], w["worker_id"]))
+        return result
+
+    async def _send_admin_cmd(
+        self,
+        worker_type: str,
+        worker_id: str,
+        cmd: str,
+        timeout: float = 5.0,
+        data_extra: Optional[Dict[str, Any]] = None,
+    ) -> Dict[str, Any]:
+        """向单个副本的 admin Queryable 下发指令并等待回复。
+
+        Args:
+            worker_type: Worker 类型
+            worker_id:  副本 id（如 worker-0-1-12345）
+            cmd:        "restart" / "stop" / "config_set"
+            timeout:    单次下发超时（秒）
+            data_extra: 追加到 data 字段的附加载荷（如 config_set 的 config）
+
+        Returns:
+            worker 侧回复（dict）
+
+        Raises:
+            RuntimeError: 无可用副本 / 下发失败 / 超时
+        """
+        admin_key = f"worker/{worker_type}/{worker_id}/__admin__"
+        data = {"cmd": cmd, **(data_extra or {})}
+        payload = orjson.dumps({"meta": {"method": "POST"}, "data": data})
+        reply_iter = self.session.get(
+            admin_key,
+            payload=payload,
+            consolidation=zenoh.ConsolidationMode.NONE,
+            timeout=timeout,
+        )
+        loop = asyncio.get_running_loop()
+        reply = await asyncio.wait_for(
+            loop.run_in_executor(_ZENOH_EXECUTOR, _next_reply, reply_iter),
+            timeout=timeout,
+        )
+        if reply is _SENTINEL:
+            raise RuntimeError(
+                f"副本 {worker_type}/{worker_id} 未响应管理指令（可能不在线，"
+                "或该 Worker 运行旧版运行时未声明 __admin__ 管理能力）"
+            )
+        if reply.ok:  # type: ignore
+            data = bytes(reply.ok.payload) if reply.ok.payload else b"{}"  # type: ignore
+            return orjson.loads(data)
+        error_payload = reply.err.payload  # type: ignore
+        error_msg = str(error_payload) if error_payload else "unknown error"
+        raise RuntimeError(f"副本 {worker_type}/{worker_id} 管理指令失败: {error_msg}")
+
+    async def restart_worker(
+        self,
+        worker_type: str,
+        worker_id: str,
+        timeout: float = 5.0,
+    ) -> Dict[str, Any]:
+        """精细化重启单个 worker 副本（经 Zenoh 下发 restart，副本以新 id 重建）。"""
+        return await self._send_admin_cmd(worker_type, worker_id, "restart", timeout)
+
+    async def stop_worker(
+        self,
+        worker_type: str,
+        worker_id: str,
+        timeout: float = 5.0,
+    ) -> Dict[str, Any]:
+        """精细化停止单个 worker 副本（经 Zenoh 下发 stop，副本退出且不自动重建）。"""
+        return await self._send_admin_cmd(worker_type, worker_id, "stop", timeout)
+
+    async def scale_workers(
+        self,
+        worker_type: str,
+        count: int,
+        timeout: float = 5.0,
+    ) -> Dict[str, Any]:
+        """把某类型的副本数调整为 count（扩缩容）并持久化到配置。
+
+        下发逻辑（与 inline/external 的统一管理协议一致）：
+          - inline：类型在本进程内有 WorkerPool，可直接调用其 set_target（进程内扩缩，
+            无需经过 Zenoh 往返）；
+          - external：类型由独立进程/容器运行，向该类型任一存活副本经 Zenoh 下发
+            rescale 指令，由其**所在进程内**的 WorkerPool 扩缩并写回自身配置。
+
+        缩容走优雅排空：摘除 liveliness/业务 Queryable 隔绝新请求，等正在处理的
+        在途请求完成后再关闭副本（避免中断业务）。
+
+        Args:
+            worker_type: 插件类型
+            count:       目标副本数（>= 0）
+            timeout:     下发超时（秒）
+
+        Returns:
+            {"worker_type", "target"(全局总量), "quota", "mode"..., "persist"|...}
+
+        Raises:
+            RuntimeError: count 非法 / 类型无可用副本或本进程无其池
+        """
+        count = max(0, int(count))
+        # 「count=全局总量」：写全局 cache 单一来源；本网关按在线网关分摊承担 quota。
+        if self.cache is not None:
+            self.cache[self._scale_desired_key(worker_type)] = count
+        quota = self.own_quota(worker_type, count)
+        logger.info(
+            "[scale] %s 全局目标=%d，本网关分摊 quota=%d", worker_type, count, quota
+        )
+        # inline：优先走本进程内池（按分摊配额），直接且即时应答
+        try:
+            from chongming_worker.runtime import get_process_pool
+            pool = get_process_pool(worker_type)
+        except Exception:  # noqa: BLE001 - 运行时缺依赖时退回 Zenoh 下发
+            pool = None
+        if pool is not None:
+            await pool.set_target(quota)
+            persist = "未持久化"
+            if self.cache is not None:
+                persist = f"count={count}（全局）已写 cache，本网关 quota={quota}"
+            else:
+                persist = f"cache 未启用，quota={quota}（重启后将按配置还原）"
+            logger.info(
+                "[scale] %s inline 池已调整至 %d 副本（全局目标 %d）",
+                worker_type, quota, count,
+            )
+            return {
+                "worker_type": worker_type,
+                "target": count,
+                "quota": quota,
+                "mode": "inline",
+                "reply": {"status": "accepted", "cmd": "rescale", "persist": persist},
+            }
+
+        # external（或本进程无池）：下发 rescale 给任一存活副本，由其进程内池扩缩+持久化
+        candidate = next(
+            (
+                w for w in self.list_workers()
+                if w["worker_type"] == worker_type and w.get("alive")
+            ),
+            None,
+        )
+        if candidate is None:
+            raise RuntimeError(f"类型 '{worker_type}' 没有可用副本，无法调整数量")
+
+        reply = await self._send_admin_cmd(
+            worker_type, candidate["worker_id"], "rescale",
+            timeout=timeout, data_extra={"scale": count},
+        )
+        return {
+            "worker_type": worker_type,
+            "target": count,
+            "mode": "external",
+            "sent_to": candidate["worker_id"],
+            "reply": reply,
+        }
+
+    async def update_worker_config(
+        self,
+        worker_type: str,
+        updates: Dict[str, Any],
+        timeout: float = 5.0,
+    ) -> Dict[str, Any]:
+        """经 Zenoh 下发 config_set 指令，让目标类型的全部副本修改配置并自我重启。
+
+        worker 侧行为（见 chongming_worker.runtime）：
+          - 仅 index0 副本把 updates 写入插件 config.toml 的 [workers.config]（原子写回，
+            路由等保留键会被拒绝）；
+          - 所有副本合并 updates 后以新配置重启（新 worker_id）。
+
+        本方法只负责"下发 + 汇总"，写操作由 worker 触发执行，故进程插件位于
+        不同路径/宿主机时也可正确写回各自的配置文件。
+
+        Args:
+            worker_type: 插件类型
+            updates:     待写入 [workers.config] 的键值（{"key": value}）
+            timeout:     单副本下发超时（秒）
+
+        Returns:
+            {
+              "total": 下发副本数,
+              "failed": 失败数, "ok": bool,
+              "results": [{worker_id, ok, reply|error}],
+              "errors": [错误信息列表]
+            }
+
+        Raises:
+            RuntimeError: 该类型无任何存活副本
+        """
+        candidates = [
+            w for w in self.list_workers()
+            if w["worker_type"] == worker_type
+        ]
+        if not candidates:
+            raise RuntimeError(f"类型 '{worker_type}' 没有可用 Worker，无法更新其配置")
+
+        results: List[Dict[str, Any]] = []
+        errors: List[str] = []
+        for w in candidates:
+            try:
+                reply = await self._send_admin_cmd(
+                    worker_type, w["worker_id"], "config_set",
+                    timeout=timeout, data_extra={"config": updates},
+                )
+                ok = reply.get("status") == "accepted"
+                if not ok:
+                    errors.append(
+                        f"{w['worker_id']}: {reply.get('error', '未知错误')}"
+                    )
+                results.append({
+                    "worker_id": w["worker_id"], "ok": ok, "reply": reply,
+                })
+            except Exception as e:  # noqa: BLE001 - 单副本失败不中断其他副本
+                errors.append(f"{w['worker_id']}: {e}")
+                results.append({
+                    "worker_id": w["worker_id"], "ok": False, "error": str(e),
+                })
+
+        return {
+            "total": len(results),
+            "failed": len(errors),
+            "ok": not errors,
+            "results": results,
+            "errors": errors,
+        }

src/chongming/app/routes/__init__.py

@@ -1,4 +1,5 @@
 from .storage import router as storage_router
 from .stats import router as stats_router
+from .worker_admin import router as worker_admin_router
 
-__all__ = ["storage_router", "stats_router"]
+__all__ = ["storage_router", "stats_router", "worker_admin_router"]

src/chongming/app/routes/worker_admin.py

@@ -0,0 +1,238 @@
+"""
+Worker 管理端点（插件 / 单副本重启）
+
+提供插件实例盘点与"精细化重启单个 worker 副本"的能力：
+  - 经 Zenoh 下发管理指令到目标的 admin Queryable（worker/<type>/<id>/__admin__）
+  - 仅超级管理员（JWT payload.is_superuser）可访问
+
+协议说明（见 chongming_worker.runtime 单副本管理协议）：
+  - 每个 worker 副本在 worker/<type>/<worker_id>/__admin__ 注册内部 Queryable
+  - {"data": {"cmd": "restart"}} → 副本平滑退出并以新 worker_id 重建
+  - {"data": {"cmd": "stop"}}    → 副本平滑退出且不自动重建
+"""
+from fastapi import APIRouter, Depends, HTTPException, Request
+from pydantic import BaseModel, Field
+import pathlib
+import tomllib
+
+from chongming_config import get_config
+
+from ..core.auth import jwt_auth_dependency
+from ..core.logger import get_logger
+
+config = get_config()
+
+logger = get_logger("worker_admin")
+
+router = APIRouter(prefix=config["default"]["prefix"], tags=["worker_admin"])
+
+
+def require_admin(
+    payload: dict = Depends(jwt_auth_dependency),
+) -> dict:
+    """仅超级管理员可操作（重启属高风险操作，普通登录用户无权限）。"""
+    if not payload.get("is_superuser"):
+        raise HTTPException(
+            status_code=403,
+            detail="需要超级管理员权限 (is_superuser)",
+        )
+    return payload
+
+
+def _get_manager(request: Request):
+    """从应用状态获取 WorkerManager；未初始化时（lifespan 外）报 503。"""
+    manager = getattr(request.app.state, "worker_manager", None)
+    if manager is None:
+        raise HTTPException(status_code=503, detail="WorkerManager 尚未就绪")
+    return manager
+
+
+@router.get("/admin/workers", summary="盘点 Worker 实例")
+async def list_workers(
+    request: Request,
+    _admin: dict = Depends(require_admin),
+):
+    """返回全部插件实例（worker_type / worker_id / mode / alive），供前端渲染与选择。"""
+    manager = _get_manager(request)
+    return {"workers": manager.list_workers(), "success": True}
+
+
+@router.post("/admin/workers/restart", summary="重启单个 Worker 副本")
+async def restart_worker(
+    request: Request,
+    worker_type: str,
+    worker_id: str,
+    _admin: dict = Depends(require_admin),
+):
+    """精细化重启单个 worker 副本：经 Zenoh 下发 restart，副本以新 worker_id 重建。
+
+    - worker_type: 插件类型（如 example）
+    - worker_id:   副本 id（如 worker-0-1-12345），由 GET /admin/workers 提供
+    """
+    manager = _get_manager(request)
+    try:
+        result = await manager.restart_worker(worker_type, worker_id)
+    except RuntimeError as e:
+        logger.warning(
+            "重启 Worker 副本失败: %s/%s 用户=%s 错误=%s",
+            worker_type, worker_id,
+            _admin.get("username", _admin.get("sub", "-")),
+            e,
+        )
+        raise HTTPException(
+            status_code=502,
+            detail=f"重启失败: {e}",
+        )
+    logger.info(
+        "重启 Worker 副本: %s/%s 用户=%s 结果=%s",
+        worker_type, worker_id,
+        _admin.get("username", _admin.get("sub", "-")),
+        result,
+    )
+    return {"success": True, "result": result}
+
+
+@router.post("/admin/workers/{worker_type}/restart", summary="重启整个插件（全部副本）")
+async def restart_all(
+    request: Request,
+    worker_type: str,
+    _admin: dict = Depends(require_admin),
+):
+    """重启某插件的全部副本（逐个下发 restart，各自以新 id 重建）。
+
+    注意：网关进程内加载的 inline 插件副本经本接口重启，仅重建 worker 协程，
+    不会卸载插件；external 插件同理逐个副本重启。
+    """
+    manager = _get_manager(request)
+    candidates = [
+        w for w in manager.list_workers()
+        if w["worker_type"] == worker_type
+    ]
+    if not candidates:
+        raise HTTPException(status_code=404, detail=f"无类型为 {worker_type} 的 worker")
+    results = []
+    failed = []
+    for w in candidates:
+        try:
+            res = await manager.restart_worker(worker_type, w["worker_id"])
+            results.append({"worker_id": w["worker_id"], "ok": True, "result": res})
+        except Exception as e:  # noqa: BLE001 - 批量重启不因单个失败中断
+            failed.append({"worker_id": w["worker_id"], "ok": False, "error": str(e)})
+            results.append({"worker_id": w["worker_id"], "ok": False, "error": str(e)})
+    logger.info(
+        "重启插件全部副本: %s (成功 %d/%d) 用户=%s",
+        worker_type, len(results) - len(failed), len(results),
+        _admin.get("username", _admin.get("sub", "-")),
+    )
+    return {"success": not failed, "total": len(results), "failed": len(failed), "results": results}
+
+
+class ScaleBody(BaseModel):
+    """副本数量调整请求体：目标副本数。"""
+    count: int = Field(..., ge=0, description="目标副本数（>=0）")
+
+
+@router.post("/admin/workers/{worker_type}/scale", summary="调整同类 worker 副本数量（扩缩容）")
+async def scale_workers(
+    request: Request,
+    worker_type: str,
+    body: ScaleBody,
+    _admin: dict = Depends(require_admin),
+):
+    """把某类型的副本数调整为 body.count 并持久化到配置。
+
+    - 扩容新增副本；缩容随机关闭副本，并**优雅排空**（摘除 liveliness/业务
+      Queryable 隔绝新请求，等待正在处理的在途请求完成后再关闭）。
+    - inline 直接调整本进程 Worker 池；external 经 Zenoh 下发 rescale 到存活副本，
+      由其进程内池扩缩并写回自身配置。
+    """
+    manager = _get_manager(request)
+    try:
+        result = await manager.scale_workers(worker_type, body.count)
+    except Exception as e:  # noqa: BLE001 - 无副本/失败映射为 4xx
+        logger.warning(
+            "调整副本数量失败: %s -> %d 用户=%s 错误=%s",
+            worker_type, body.count,
+            _admin.get("username", _admin.get("sub", "-")),
+            e,
+        )
+        raise HTTPException(status_code=404, detail=str(e))
+    logger.info(
+        "调整副本数量: %s -> %d 用户=%s 结果=%s",
+        worker_type, body.count,
+        _admin.get("username", _admin.get("sub", "-")),
+        result,
+    )
+    return {"success": True, "result": result}
+
+
+class ConfigUpdateBody(BaseModel):
+    """配置更新请求体：写目标插件 config.toml 的 [workers.config] 段。"""
+    updates: dict = Field(..., description="待写入 [workers.config] 的键值（路由/加载控制键除外）")
+
+
+@router.get("/admin/workers/{worker_type}/config", summary="读取插件现有运行时配置")
+async def read_worker_config(
+    request: Request,
+    worker_type: str,
+    _admin: dict = Depends(require_admin),
+):
+    """读取某插件 config.toml 的 [workers.config] 现有值（供前端展示）。
+
+    直接从插件配置文件读取，反映最近一次落盘结果（含 worker 写回后的值）。
+    路由配置（add.toml 等）不在此范围。
+
+    - worker_type: 插件类型（如 example）
+    """
+    path = pathlib.Path("config/workers") / worker_type / "config.toml"
+    if not path.exists():
+        raise HTTPException(status_code=404, detail=f"插件 {worker_type} 的配置文件不存在: {path}")
+    with open(path, "rb") as f:
+        data = tomllib.load(f)
+    workers = data.get("workers") or {}
+    cfg = workers.get("config")
+    return {
+        "worker_type": worker_type,
+        "config": cfg if isinstance(cfg, dict) else {},
+        "success": True,
+    }
+
+
+@router.post("/admin/workers/{worker_type}/config", summary="更新插件运行时配置（下发至 worker）")
+async def update_worker_config(
+    request: Request,
+    worker_type: str,
+    body: ConfigUpdateBody,
+    _admin: dict = Depends(require_admin),
+):
+    """更新某插件的运行时配置 `[workers.config]`（路由配置 add.toml 等除外）。
+
+    流程：网关经 Zenoh 下发 config_set 给该类型全部副本 → 由 worker 触发写回各自
+    配置文件（仅 index0 落盘避免同文件并发写）→ 写成功则以新配置重启所有对应副本；
+    任一失败则返回失败明细（error 信息）。
+
+    - worker_type: 插件类型（如 example）
+    - body.updates: 待更新的键值，如 {"data_dir": "./data2"}
+    """
+    manager = _get_manager(request)
+    if not body.updates:
+        raise HTTPException(status_code=422, detail="updates 不能为空")
+    try:
+        result = await manager.update_worker_config(worker_type, body.updates)
+    except Exception as e:  # noqa: BLE001 - 无副本等运行时错误映射为 4xx
+        logger.warning(
+            "更新插件配置失败: %s 用户=%s 错误=%s",
+            worker_type,
+            _admin.get("username", _admin.get("sub", "-")),
+            e,
+        )
+        raise HTTPException(status_code=404, detail=str(e))
+    logger.info(
+        "更新插件配置: %s\n  updates=%s\n  结果=成功 %d/%d (失败: %s) 用户=%s",
+        worker_type,
+        body.updates,
+        result["total"] - result["failed"], result["total"],
+        result["errors"],
+        _admin.get("username", _admin.get("sub", "-")),
+    )
+    return result

uv.lock

@@ -431,20 +431,20 @@ wheels = [
 
 [[package]]
 name = "chongming-cache"
-version = "0.1.0"
+version = "0.2.0"
 source = { registry = "http://124.71.68.6:3000/api/packages/chongming/pypi/simple/" }
 dependencies = [
     { name = "diskcache" },
     { name = "redis" },
 ]
-sdist = { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cache/0.1.0/chongming_cache-0.1.0.tar.gz", hash = "sha256:e81e046b3b9cf05699a579aac697c29a647c0ecbb310a5d5ffa17a14b2a6eb5c" }
+sdist = { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cache/0.2.0/chongming_cache-0.2.0.tar.gz", hash = "sha256:7b092c6b96d67f50aac1754c364e4a647efa089bf9dbbc989d0f5993925dec66" }
 wheels = [
-    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cache/0.1.0/chongming_cache-0.1.0-py3-none-any.whl", hash = "sha256:7c04f3ad5cbfd9d6a99541e6d7ab14423c2851c2cde50fca5b70f5c2f4ad031e" },
+    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cache/0.2.0/chongming_cache-0.2.0-py3-none-any.whl", hash = "sha256:4e95eddbb691479b23559020375c8d041a03b4a4c6163df1a7f6b5150b9e469e" },
 ]
 
 [[package]]
 name = "chongming-cli"
-version = "0.1.0"
+version = "0.1.2"
 source = { registry = "http://124.71.68.6:3000/api/packages/chongming/pypi/simple/" }
 dependencies = [
     { name = "chongming-config" },
@@ -452,9 +452,9 @@ dependencies = [
     { name = "sqlite-vfs" },
     { name = "tomli" },
 ]
-sdist = { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cli/0.1.0/chongming_cli-0.1.0.tar.gz", hash = "sha256:bef08a46b4ecbb6d3a92ccb7afc3d4d7f77a6f09b9a09ab056dd6c9bf04e8361" }
+sdist = { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cli/0.1.2/chongming_cli-0.1.2.tar.gz", hash = "sha256:e169b81cb8c5dc6198c685b963b862f7cd27a2ac273da789fc23cbe027323265" }
 wheels = [
-    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cli/0.1.0/chongming_cli-0.1.0-py3-none-any.whl", hash = "sha256:94bcd6dd0967d6403b56bdc0e23c9861e3d4797edf66c949889f998a34fc55ce" },
+    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-cli/0.1.2/chongming_cli-0.1.2-py3-none-any.whl", hash = "sha256:f72edb901ba1b355e2937f7fb1e9a9da4144c328bba59ea97421b5041b565e67" },
 ]
 
 [[package]]
@@ -489,7 +489,9 @@ name = "chongming-jwt"
 version = "0.1.0"
 source = { registry = "http://124.71.68.6:3000/api/packages/chongming/pypi/simple/" }
 wheels = [
+    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-jwt/0.1.0/chongming_jwt-0.1.0-cp312-cp312-linux_aarch64.whl", hash = "sha256:0512956acaa7a17aaf9708da8d7b3a7dc366ef0226f03550d7b1b06940ba733b" },
     { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-jwt/0.1.0/chongming_jwt-0.1.0-cp312-cp312-linux_x86_64.whl", hash = "sha256:527676e710d038f270093d0964c92fc5e976f1f5db23e846e3819b1c8a566721" },
+    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-jwt/0.1.0/chongming_jwt-0.1.0-cp312-cp312-manylinux_2_34_aarch64.whl", hash = "sha256:d2329de197af17141048da32b52dcda87ff578353b4fae78c3bbd0043244cdfc" },
     { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-jwt/0.1.0/chongming_jwt-0.1.0-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:d63cc24550b7084e55d4dd0cb9f99cbd0a9d77da39ad0685698fd484e4376e72" },
 ]
 
@@ -510,7 +512,9 @@ name = "chongming-password"
 version = "0.1.0"
 source = { registry = "http://124.71.68.6:3000/api/packages/chongming/pypi/simple/" }
 wheels = [
+    { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-password/0.1.0/chongming_password-0.1.0-cp312-cp312-linux_aarch64.whl", hash = "sha256:752651cce38a999466e9b342f18f0ceb78b17907646440d2b1c6306ebc9c7648" },
     { url = "http://124.71.68.6:3000/api/packages/chongming/pypi/files/chongming-password/0.1.0/chongming_password-0.1.0-cp312-cp312-linux_x86_64.whl", hash = "sha256:97414ddb764a8efa0183eb6a4519530a8522729ff633a06285a88b7b22fa77b4" },
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