From 378128fc16219e9d543fceeb5a8bc2682b0b8b9f Mon Sep 17 00:00:00 2001 From: chakcy <947105045@qq.com> Date: Thu, 27 Aug 2026 09:49:47 +0800 Subject: [PATCH] =?UTF-8?q?modify:=20worker=20=E7=AE=A1=E7=90=86=E7=AB=AF?= =?UTF-8?q?=E7=82=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .trae/documents/修复worker重启500与未响应.md | 42 ++ README.md | 112 ++++- config.toml | 9 +- pyproject.toml | 2 - src/chongming/app/__init__.py | 9 +- src/chongming/app/core/lifespan_setup.py | 34 +- src/chongming/app/core/worker_manager.py | 421 ++++++++++++++++++- src/chongming/app/routes/__init__.py | 3 +- src/chongming/app/routes/worker_admin.py | 238 +++++++++++ uv.lock | 240 +++++------ 10 files changed, 967 insertions(+), 143 deletions(-) create mode 100644 .trae/documents/修复worker重启500与未响应.md create mode 100644 src/chongming/app/routes/worker_admin.py diff --git a/.trae/documents/修复worker重启500与未响应.md b/.trae/documents/修复worker重启500与未响应.md new file mode 100644 index 0000000..b534083 --- /dev/null +++ b/.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 / 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--`，无 epoch 段）。新版 runtime 才生成 `worker---` 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///__admin__`。 \ No newline at end of file diff --git a/README.md b/README.md index df0ae8d..d285e5b 100644 --- a/README.md +++ b/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///__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///__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---`）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//stop` | 停止 single 副本 / 某插件全部副本 | +| `GET` | `/api/v1/admin/workers//config` | 读取该插件的现有 `[workers.config]`（展示当前值） | +| `POST` | `/api/v1/admin/workers//config` | 更新配置（body `{updates:{k:v}}`），下发并重启 | +| `POST` | `/api/v1/admin/workers//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:`，在线网关 id 列表存 `worker:cm:gateways`，各网关分摊配额存 `worker:cm:quota::`（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//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//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//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 `[.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/ # 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 | diff --git a/config.toml b/config.toml index 0faee59..cef57f3 100644 --- a/config.toml +++ b/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//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 diff --git a/pyproject.toml b/pyproject.toml index a4d58f9..c7862df 100644 --- a/pyproject.toml +++ b/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" diff --git a/src/chongming/app/__init__.py b/src/chongming/app/__init__.py index 0eb071f..108394f 100644 --- a/src/chongming/app/__init__.py +++ b/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) diff --git a/src/chongming/app/core/lifespan_setup.py b/src/chongming/app/core/lifespan_setup.py index 2ff0ae6..b69aa1a 100644 --- a/src/chongming/app/core/lifespan_setup.py +++ b/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) diff --git a/src/chongming/app/core/worker_manager.py b/src/chongming/app/core/worker_manager.py index 6af4239..a3e46bc 100644 --- a/src/chongming/app/core/worker_manager.py +++ b/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///__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//" + 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, + } diff --git a/src/chongming/app/routes/__init__.py b/src/chongming/app/routes/__init__.py index dabae44..d9a7391 100644 --- a/src/chongming/app/routes/__init__.py +++ b/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"] \ No newline at end of file +__all__ = ["storage_router", "stats_router", "worker_admin_router"] \ No newline at end of file diff --git a/src/chongming/app/routes/worker_admin.py b/src/chongming/app/routes/worker_admin.py new file mode 100644 index 0000000..51ad069 --- /dev/null +++ b/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///__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///__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 \ No newline at end of file diff --git a/uv.lock b/uv.lock index a2e81aa..f0a8f76 100644 --- a/uv.lock +++ b/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" }, ] 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