v0.11.3

Bumps [actions/deploy-pages](https://github.com/actions/deploy-pages) from 4 to 5.
- [Release notes](https://github.com/actions/deploy-pages/releases)
- [Commits](https://github.com/actions/deploy-pages/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/deploy-pages
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

.conda/base/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos
-  version: 0.11.0
+  version: 0.11.3
 
 source:
   path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
   - pymodbus
   - matplotlib
   - pylibftdi
-  - uni-lab::unilabos-env ==0.11.0
+  - uni-lab::unilabos-env ==0.11.3
 
 about:
   repository: https://github.com/deepmodeling/Uni-Lab-OS

.conda/environment/recipe.yaml

@@ -2,7 +2,7 @@
 
 package:
   name: unilabos-env
-  version: 0.11.0
+  version: 0.11.3
 
 build:
   noarch: generic

.conda/full/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos-full
-  version: 0.11.0
+  version: 0.11.3
 
 build:
   noarch: generic
@@ -11,7 +11,7 @@ build:
 requirements:
   run:
   # Base unilabos package (includes unilabos-env)
-  - uni-lab::unilabos ==0.11.0
+  - uni-lab::unilabos ==0.11.3
   # Documentation tools
   - sphinx
   - sphinx_rtd_theme

.cursor/skills/add-device/SKILL.md

@@ -5,9 +5,98 @@ description: Guide for adding new devices to Uni-Lab-OS (接入新设备). Uses
 
 # 添加新设备到 Uni-Lab-OS
 
-**第一步：** 使用 Read 工具读取 `docs/ai_guides/add_device.md`，获取完整的设备接入指南。
+本 Skill 是自包含的设备接入指南，不依赖外部文档。迁移给别人时，只复制 `.cursor/skills/add-device/SKILL.md` 即可获得核心规则、模板、验证方式和常见错误清单。
 
-该指南包含设备类别（物模型）列表、通信协议模板、常见错误检查清单等。搜索 `unilabos/devices/` 获取已有设备的实现参考。
+开始实现前，仍应搜索 `unilabos/devices/` 获取同类别已有设备的接口、参数名、状态字符串和返回值风格作为参考。
+
+---
+
+## 接入工作流
+
+按下面顺序推进，并在工作中维护进度：
+
+```text
+设备接入进度：
+- [ ] 1. 确定设备类别（物模型）和对外单位
+- [ ] 2. 确定通信协议
+- [ ] 3. 收集指令协议（SDK、厂商文档、寄存器表、HTTP API、用户口述）
+- [ ] 4. 对齐同类设备接口（搜索 unilabos/devices/）
+- [ ] 5. 创建驱动 unilabos/devices/<category>/<file>.py
+- [ ] 6. 验证可导入、注册表扫描、启动测试
+- [ ] 7. 如需要，配置实验图文件
+```
+
+## 设备类别（物模型）
+
+优先使用已有类别。只有确实无法归类时才使用 `custom`。
+
+| 类别 ID | 说明 | 标准属性 | 标准动作 |
+|---|---|---|---|
+| `temperature` | 加热、冷却、温控 | `temp`, `temp_target`, `status` | `set_temperature`, `stop` |
+| `pump_and_valve` | 泵、阀门、注射器 | 见子类型表 | 见子类型表 |
+| `motor` | 电机、步进马达 | `position`, `status` | `enable`, `move_position`, `move_speed`, `stop` |
+| `heaterstirrer` | 加热搅拌一体机 | `temp`, `stir_speed`, `status` | `set_temperature`, `stir`, `stop` |
+| `balance` | 天平、称重 | `weight`, `unit`, `status` | `tare`, `read_weight` |
+| `sensor` | 传感器（液位、温度等） | `value`, `level`, `status` | `read_value`, `set_threshold` |
+| `liquid_handling` | 液体处理机器人 | `status`, `deck_state` | `transfer_liquid`, `aspirate`, `dispense` |
+| `robot_arm` | 机械臂 | `arm_pose`, `arm_status` | `moveit_task`, `pick_and_place` |
+| `workstation` | 工作站、组合设备 | `workflow_sequence`, `material_info` | `create_order`, `scheduler_start`, `scheduler_stop` |
+| `virtual` | 虚拟、模拟设备 | 按模拟的真实设备定义 | 按模拟的真实设备定义 |
+| `custom` | 不属于以上类别 | 用户自定义 | 用户自定义 |
+
+`pump_and_valve` 子类型：
+
+| 子类型 | 最小通用属性 | 最小通用动作 | 单位约定 |
+|---|---|---|---|
+| 注射泵（syringe pump） | `status`, `valve_position`, `position` | `initialize`, `set_valve_position`, `set_position`, `pull_plunger`, `push_plunger`, `stop_operation` | 体积=mL, 速度=mL/s |
+| 电磁阀（solenoid valve） | `status`, `valve_position` | `open`, `close`, `set_valve_position` | 无 |
+| 蠕动泵（peristaltic pump） | `status`, `speed` | `start`, `stop`, `set_speed` | 流速=mL/min |
+
+对外暴露的属性和动作参数必须使用用户友好的物理单位（mL、ul、degC、RPM 等），硬件原始值转换放在驱动内部。
+
+## 通信协议和指令来源
+
+先确认通信方式，再确认具体指令协议。物模型只定义设备“应该做什么”，不会告诉你硬件“具体发什么字节/请求”。
+
+| 协议 | 常用 config 参数 | 常用依赖 | 现有抽象 |
+|---|---|---|---|
+| Serial (RS232/RS485) | `port`, `baudrate`, `timeout` | `pyserial` | 直接使用 `serial.Serial` |
+| Modbus RTU | `port`, `baudrate`, `slave_id` | `pymodbus` | `device_comms/modbus_plc/` |
+| Modbus TCP | `host`, `port`, `slave_id` | `pymodbus` | `device_comms/modbus_plc/` |
+| TCP Socket | `host`, `port`, `timeout` | stdlib | 直接使用 `socket` |
+| HTTP API | `url`, `token`, `timeout` | `requests` | `device_comms/rpc.py` |
+| OPC UA | `url` | `opcua` | `device_comms/opcua_client/` |
+| 无通信（虚拟） | 无 | 无 | 在动作中模拟行为 |
+
+必须从以下来源之一获得指令细节：
+
+| 来源 | 处理方式 |
+|---|---|
+| 现成 SDK/驱动代码 | 读取代码，提取指令逻辑，包装进 Uni-Lab-OS 类 |
+| 协议文档/手册 | 解析命令、响应、校验、寄存器、错误码 |
+| 用户口述 | 按描述实现指令编解码，标出不确定点 |
+| 标准协议 | 使用标准实现，例如 Modbus 寄存器表、SCPI |
+| 虚拟设备 | 跳过硬件通信，在动作方法中维护模拟状态 |
+
+## 对齐已有实现（强制）
+
+实现前必须搜索 `unilabos/devices/` 中同类别设备：
+
+- 参数名必须与已有设备保持一致；动作方法参数名是接口契约，不要随意改成 `volume_ml`、`target_temp_c` 这类新名字。
+- `status` 字符串值要和同类设备一致，优先使用英文稳定值，例如 `Idle`、`Running`、`Error`。
+- 状态属性用 `@property` + `@topic_config()` 明确声明。
+- 返回值使用结构化 dict，至少包含 `success`，需要给前端展示的信息放在 `message`、`data`、`error` 等字段。
+
+## 架构选择
+
+| 场景 | 推荐方式 |
+|---|---|
+| 简单设备 | 纯 Python 类 + `@device` |
+| 工作站/组合设备 | `WorkstationBase` 或项目内已有工作站模式 |
+| 液体处理 | `LiquidHandlerAbstract` / PyLabRobot 相关模式 |
+| Modbus 设备 | 复用 `device_comms/modbus_plc/` 或项目内 Modbus 示例 |
+| OPC UA 设备 | 复用 `device_comms/opcua_client/` |
+| 外部独立包 | 使用 `create-device-package` skill |
 
 ---
 
@@ -71,6 +160,45 @@ from unilabos.registry.decorators import action
 - `_` 开头的方法 → 不扫描
 - `@not_action` 标记的方法 → 排除
 
+### 参数文档 → JSON Schema 元数据
+
+在 `__init__` 和 action 方法 docstring 的 `Args:` 小节里，使用以下格式生成入参 schema 的显示信息：
+
+```python
+"""
+Args:
+    param[显示名称]: 参数说明，会写入 JSON Schema 的 description。
+"""
+```
+
+- `param[显示名称]` 的显示名称会写入 goal property 的 `title`。
+- `:` 后面的说明会写入 goal property 的 `description`。
+- 如果只写 `param: 参数说明`，`title` 会兜底为字段名，`description` 使用参数说明。
+- 如果没有写参数文档，生成器也会兜底补齐 `title=<字段名>` 和 `description=""`，但新设备应优先写清楚显示名和说明。
+
+### 特殊参数类型：ResourceSlot / DeviceSlot
+
+需要前端选择资源或设备时，用特殊类型注解，registry 会自动生成 `placeholder_keys`：
+
+```python
+from typing import List
+from unilabos.registry.placeholder_type import DeviceSlot, ResourceSlot
+
+@action(description="转移液体")
+def transfer(self, source: ResourceSlot, target: ResourceSlot, volume_ul: float) -> dict:
+    """
+    Args:
+        source[源资源]: 源容器或孔位。
+        target[目标资源]: 目标容器或孔位。
+        volume_ul[体积(ul)]: 转移体积。
+    """
+    return {"success": True}
+
+@action(description="同步设备")
+def sync_devices(self, devices: List[DeviceSlot]) -> dict:
+    return {"success": True, "count": len(devices)}
+```
+
 ### @topic_config — 状态属性配置
 
 ```python
@@ -105,13 +233,27 @@ import logging
 from typing import Any, Dict, Optional
 
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
-from unilabos.registry.decorators import device, action, topic_config, not_action
+from unilabos.registry.decorators import action, device, not_action, topic_config
 
-@device(id="my_device", category=["my_category"], description="设备描述")
+@device(
+    id="my_device",
+    category=["my_category"],
+    description="设备描述",
+    display_name="设备显示名",
+)
 class MyDevice:
+    """设备类说明。"""
+
     _ros_node: BaseROS2DeviceNode
 
     def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
+        """
+        初始化设备。
+
+        Args:
+            device_id[设备ID]: 设备实例 ID，默认使用 my_device。
+            config[设备配置]: 设备启动配置。
+        """
         self.device_id = device_id or "my_device"
         self.config = config or {}
         self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
@@ -133,7 +275,13 @@ class MyDevice:
 
     @action(description="执行操作")
     def my_action(self, param: float = 0.0, name: str = "") -> Dict[str, Any]:
-        """带 @action 装饰器 → 注册为 'my_action' 动作"""
+        """
+        带 @action 装饰器 → 注册为 'my_action' 动作。
+
+        Args:
+            param[操作数值]: 操作使用的数值参数。
+            name[操作名称]: 操作名称或备注。
+        """
         return {"success": True}
 
     def get_info(self) -> Dict[str, Any]:
@@ -158,3 +306,154 @@ class MyDevice:
 - `post_init` 用 `@not_action` 标记，参数类型标注为 `BaseROS2DeviceNode`
 - 运行时状态存储在 `self.data` 字典中
 - 设备文件放在 `unilabos/devices/<category>/` 目录下
+
+---
+
+## 通信实现片段
+
+Serial 文本指令：
+
+```python
+def _send_command(self, cmd: str) -> str:
+    self.ser.write(f"{cmd}\r\n".encode())
+    return self.ser.readline().decode().strip()
+```
+
+RS-485 响应解析要先定位帧头，不要用硬编码索引直接解析原始响应：
+
+```python
+def _normalize_response(self, raw: str, start_marker: str = "/") -> str:
+    pos = raw.find(start_marker)
+    return raw[pos:] if pos >= 0 else raw
+```
+
+自定义二进制帧：
+
+```python
+def _build_frame(self, func_code: int, data: bytes) -> bytes:
+    frame = bytearray([0xFE, func_code]) + bytearray(data)
+    checksum = sum(frame[1:]) % 256
+    frame.append(checksum)
+    return bytes(frame)
+```
+
+Modbus 寄存器映射：
+
+```python
+REGISTER_MAP = {
+    "temp_target": {"addr": 0x000B, "scale": 10},
+}
+
+def set_temperature(self, temp: float, **kwargs) -> bool:
+    reg = REGISTER_MAP["temp_target"]
+    value = int(float(temp) * reg["scale"]) & 0xFFFF
+    self.client.write_register(reg["addr"], value, slave=self.slave_id)
+    self.data["temp_target"] = temp
+    return True
+```
+
+HTTP API 映射：
+
+```python
+API_MAP = {
+    "set_temperature": {
+        "method": "POST",
+        "endpoint": "/api/temperature",
+        "body_key": "target",
+    },
+}
+```
+
+SDK 封装：
+
+```python
+from my_device_sdk import DeviceController
+
+class MyDevice:
+    def __init__(self, device_id=None, config=None, **kwargs):
+        self.config = config or {}
+        self.controller = DeviceController(port=self.config.get("port", "COM1"))
+```
+
+---
+
+## 验证
+
+无需手写注册表 YAML。`@device` 装饰器 + AST 扫描会在启动或检查时生成注册表条目。
+
+```bash
+# 1. 模块可导入
+python -c "from unilabos.devices.<category>.<file> import <ClassName>"
+
+# 2. 启动测试
+unilab -g <graph>.json
+
+# 3. 仅检查注册表
+unilab --check_mode --skip_env_check
+```
+
+仅在旧代码无 `@device`、需要覆盖特殊字段、或做 `--complete_registry` 旧设备补全时，才考虑 YAML。新设备默认不要手写 YAML。
+
+## 图文件节点模板
+
+实验图 JSON 中的 `class` 对应 `@device(id=...)`，`config` 会传入 `__init__` 的 `config` 字典：
+
+```json
+{
+  "id": "my_device_1",
+  "name": "我的设备",
+  "children": [],
+  "parent": null,
+  "type": "device",
+  "class": "my_device",
+  "position": {"x": 0, "y": 0, "z": 0},
+  "config": {
+    "port": "/dev/ttyUSB0",
+    "baudrate": 9600
+  },
+  "data": {}
+}
+```
+
+工作站需要同时配置 `deck` 和 `children`：
+
+```json
+{
+  "nodes": [
+    {
+      "id": "my_station",
+      "type": "device",
+      "class": "my_workstation",
+      "children": ["my_deck"],
+      "config": {},
+      "deck": {
+        "data": {
+          "_resource_child_name": "my_deck",
+          "_resource_type": "unilabos.resources.my_module:MyDeck"
+        }
+      }
+    },
+    {
+      "id": "my_deck",
+      "type": "deck",
+      "class": "MyDeckClass",
+      "parent": "my_station",
+      "config": {"type": "MyDeckClass", "setup": true}
+    }
+  ]
+}
+```
+
+---
+
+## 常见错误清单
+
+- 缺少 `@device`：设备不会被 AST 扫描发现。
+- 只有 `@property` 没有 `@topic_config()`：属性不会稳定广播到 `status_types`。
+- `post_init` 没有 `@not_action`：会被误暴露为动作。
+- `self.data = {}`：空字典会导致属性读取和 schema 初始数据不稳定，必须预填充每个状态键。
+- 动作参数重命名：不要把同类设备已有的 `volume` 改成 `volume_ml`，参数名是接口契约。
+- `status` 使用中文或临时文本：前端和工作流依赖稳定英文状态值。
+- async 方法中使用 `time.sleep()`：应使用 `await self._ros_node.sleep(seconds)`。
+- 硬编码串口响应索引：RS-485 响应前可能有噪声字节，应先定位帧头。
+- 把硬件寄存器单位暴露给用户：对外使用物理单位，驱动内部做 scale 转换。

.cursor/skills/filter-workflow-by-tags/SKILL.md

@@ -0,0 +1,450 @@
+---
+name: filter-workflow-by-tags
+description: Query backend workflow list, aggregate all tags, and filter workflows by domain/scenario requirements using tags. Use when the user wants to search workflows, find workflows by tags, list available workflow tags, filter workflows by category/domain/scenario, or mentions 工作流筛选/标签查询/workflow tags/按领域查找工作流.
+---
+# Uni-Lab 工作流标签筛选指南
+
+通过 Uni-Lab 云端 API 查询工作流列表，汇总所有可用标签（tags），并根据领域和场景要求筛选工作流。
+
+> **重要**：本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**，`Lab` 是 Uni-Lab 的 auth scheme 关键字，**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
+
+## 使用模式识别
+
+**用户可能一开始就给出场景目标**（如"我要做有机合成实验"、"找柱层析相关的 protocol"）。此时：
+
+1. **识别场景关键词** → 映射到可能的 tags（如 synthesis、organic、chromatography、purification）
+2. **直接执行完整流程**（获取 ak/sk/addr → 拉取所有工作流 → 汇总 tags → 按场景筛选）
+3. **展示筛选结果** → 引导用户从候选 workflow 中**选择明确的实验 protocol**
+4. **如果用户确认某个 workflow** → 记录 `workflow_uuid`，准备对接“与其他 Skill 的协作”
+
+**如果用户未给场景目标**，则按标准 checklist 询问筛选条件。
+
+---
+
+## 前置条件
+
+使用本指南前，**必须**先确认以下信息。如果缺少任何一项，**立即向用户询问并终止**，等补齐后再继续。
+
+### 1. ak / sk → AUTH
+
+询问用户的启动参数，从 `--ak` `--sk` 或 config.py 中获取。
+
+生成 AUTH token：
+
+```bash
+python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
+```
+
+### 2. --addr → BASE URL
+
+| `--addr` 值 | BASE                                  |
+| ------------- | ------------------------------------- |
+| `test`      | `https://leap-lab.test.bohrium.com` |
+| `uat`       | `https://leap-lab.uat.bohrium.com`  |
+| `local`     | `http://127.0.0.1:48197`            |
+| 不传（默认）  | `https://leap-lab.bohrium.com`      |
+
+确认后设置：
+
+```bash
+BASE="<根据 addr 确定的 URL>"
+AUTH="Authorization: Lab <上面命令输出的 token>"
+```
+
+### 3. lab_uuid（实验室 UUID）
+
+如果用户未提供 `lab_uuid`，通过以下 API 自动获取：
+
+```bash
+curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
+```
+
+返回 `data.uuid` 即为 `lab_uuid`。
+
+**三项全部就绪后才可开始。**
+
+## Session State
+
+在整个对话过程中，agent 需要记住以下状态：
+
+- `lab_uuid` — 实验室 UUID
+- `all_workflows` — 完整工作流列表（分页获取后缓存到内存或临时文件）
+- `all_tags` — 所有工作流的标签汇总
+
+---
+
+## API 端点
+
+### 查询工作流列表（支持分页）
+
+```
+GET $BASE/api/v1/lab/workflow/owner/list?page=<page>&page_size=<page_size>&lab_uuid=$lab_uuid
+```
+
+**参数：**
+
+- `page` — 页码，从 1 开始
+- `page_size` — 每页数量，建议 1000
+- `lab_uuid` — 实验室 UUID
+
+**返回结构：**
+
+```json
+{
+  "code": 0,
+  "data": {
+    "has_more": true,
+    "data": [
+      {
+        "uuid": "9661bba2-1b9f-4687-a63d-910245df174b",
+        "name": "Untitled",
+        "description": "",
+        "user_id": "114211",
+        "published": false,
+        "tags": null
+      },
+      {
+        "uuid": "e0436638-190b-46bc-b1a1-2711d9602f6a",
+        "name": "Synthesis v2",
+        "user_id": "114211",
+        "published": true,
+        "tags": ["synthesis", "organic"]
+      }
+    ]
+  }
+}
+```
+
+**字段说明：**
+
+- `has_more` — 若为 `true`，需要继续请求 `page+1`
+- `tags` — 可能为 `null`、空数组或字符串数组；聚合时必须容忍 `null`
+
+### 启动工作流（直接运行）
+
+```
+POST $BASE/api/v1/lab/workflow/<workflow_uuid>/run
+```
+
+**用途：** 直接启动一个 workflow 的默认执行（使用模板中预设的参数），无需创建 notebook。适用于快速测试或无参数变化的重复执行。
+
+**请求体：** 空 JSON `{}` 或省略
+
+**返回：**
+
+```json
+{
+  "code": 0,
+  "data": "<run_uuid>"
+}
+```
+
+- `run_uuid` — 本次执行的唯一标识（不是 notebook UUID）
+
+**注意：**
+
+- 该接口会使用 workflow 模板中保存的默认参数直接执行
+- 如果 workflow 需要动态参数（如 CSV 路径、样品 UUID），应使用 `POST /lab/notebook` 创建 notebook 并传入 `node_params`
+- 返回的 `run_uuid` 可直接传入下方「查询任务状态」接口查询实时进度
+
+### 查询任务状态
+
+```
+GET $BASE/api/v1/lab/mcp/task/<task_uuid>
+```
+
+**用途：** 查询由 `POST /lab/workflow/<uuid>/run` 返回的 `run_uuid`（即 task_uuid）的实时执行状态，包括整体状态和每个节点（JOS：Job On Station）的执行详情。
+
+**路径参数：**
+
+- `task_uuid` — 等同于启动工作流接口返回的 `run_uuid`
+
+**返回：**
+
+```json
+{
+  "code": 0,
+  "data": {
+    "status": "running",
+    "jos_status": [
+      {
+        "uuid": "d0e24bfe-8d99-450e-b19d-f25849dfbaad",
+        "node_name": "PRCXI_BioER_96_wellplate_slot_1",
+        "action_name": "create_resource",
+        "status": "success",
+        "return_info": {
+          "suc": true,
+          "error": "",
+          "return_value": { ... }
+        }
+      },
+      {
+        "uuid": "...",
+        "node_name": "...",
+        "action_name": "transfer_liquid",
+        "status": "pending",
+        "return_info": null
+      }
+    ]
+  }
+}
+```
+
+**字段说明：**
+
+- `data.status` — 整体任务状态
+  - `running` — 正在执行（至少一个节点 pending 或 running）
+  - `success` — 全部节点成功
+  - `failed` — 有节点失败
+- `data.jos_status[]` — 节点级执行列表（按执行顺序）
+  - `uuid` — 节点执行实例 UUID
+  - `node_name` — 节点名称（资源/设备名或工位名）
+  - `action_name` — 动作类型（`create_resource`、`transfer_liquid`、`centrifuge`、等）
+  - `status` — 节点状态：`success`、`pending`、`running`、`failed`
+  - `return_info` — 执行返回，失败时 `suc=false` 且 `error` 有错误信息
+
+**注意：**
+
+- 此接口的 `task_uuid` **是** `POST /lab/workflow/<uuid>/run` 返回的 `run_uuid`，二者为同一个 ID 的不同称呼
+- **不要**把 notebook UUID（`POST /lab/notebook` 返回）传进来——那条路径用 `GET /lab/notebook/status` 查询
+- `jos_status` 数组按节点执行顺序给出；从 pending 数量可以估算剩余进度
+- 返回体可能较大（`return_info.return_value` 中可能包含完整 resource tree），可在脚本中只提取 `status` + `node_name` + `action_name` 做摘要
+
+**状态轮询示例：**
+
+```bash
+# 每 5 秒轮询一次直至完成
+TASK="b183d97e-d2b5-4b24-b14b-820df04d87c0"
+while :; do
+  st=$(curl -s -X GET "$BASE/api/v1/lab/mcp/task/$TASK" -H "$AUTH" \
+    | python3 -c "import json,sys; d=json.load(sys.stdin)['data']; \
+      print(d['status'], '|', sum(1 for j in d['jos_status'] if j['status']=='success'), '/', len(d['jos_status']))")
+  echo "$(date +%H:%M:%S) $st"
+  [[ "$st" == success* || "$st" == failed* ]] && break
+  sleep 5
+done
+```
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] Step 0: 识别用户是否已给出场景目标（如"有机合成"、"柱层析"）
+       - 若已给出 → 记录场景关键词，自动进入后续步骤
+       - 若未给出 → 在 Step 6 询问用户
+- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
+- [ ] Step 2: 确认 --addr → 设置 BASE URL
+- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid（如用户未提供）
+- [ ] Step 4: 分页获取所有工作流（从 page=1 开始直到 has_more=false）
+- [ ] Step 5: 汇总所有非空 tags → 生成 all_tags（去重、排序、附出现次数）
+- [ ] Step 6: 根据场景关键词（Step 0 或新询问）在 all_tags 中做语义映射 → 确定候选 tags
+       - 若语义映射不唯一，列出候选 tags 让用户确认
+- [ ] Step 7: 按候选 tags 筛选工作流（默认 any 模式，召回优先）
+- [ ] Step 8: 展示筛选结果（uuid、name、description、tags、published）
+- [ ] Step 9: 引导用户从结果中选择**明确的实验 protocol**
+       - 若结果只有 1 条 → 直接确认该 workflow_uuid
+       - 若结果 2–10 条 → 让用户按编号选择
+       - 若结果过多 → 提示收紧条件（加 tag、切换 all 模式、仅 published）
+       - 若结果为空 → 放宽条件（去掉最稀有 tag）或提示用户换关键词
+- [ ] Step 10: 记录用户选中的 workflow_uuid，并提示提交实验或查看详情
+```
+
+---
+
+## 推荐路径：使用脚本
+
+同目录下提供 `scripts/filter_workflows.py`，一次完成分页抓取、标签聚合与筛选：
+
+```bash
+# 1. 仅汇总标签（不筛选）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --summary-only
+
+# 2. 按标签筛选（ANY 模式：包含任一）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis organic \
+  --mode any
+
+# 3. 按标签筛选（ALL 模式：必须同时包含）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis organic \
+  --mode all \
+  --output filtered.json
+
+# 4. 仅筛选已发布
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis \
+  --published-only
+```
+
+**`--auth` 参数说明**：传入 `Authorization` 头中 `Lab` 之后的 base64 token（不带 `Lab ` 前缀），脚本内部会自动补上 scheme。
+
+**输出结构：**
+
+```json
+{
+  "total_workflows": 150,
+  "tag_counts": {"synthesis": 12, "organic": 8, "analysis": 5},
+  "all_tags": ["analysis", "organic", "synthesis"],
+  "filter": {"tags": ["synthesis", "organic"], "mode": "any"},
+  "filtered_workflows": [
+    {"uuid": "...", "name": "...", "description": "...", "tags": [...], "published": true}
+  ]
+}
+```
+
+---
+
+## 手动路径：curl + jq
+
+如果脚本不可用或环境缺少 Python，可用 shell 实现。
+
+### 1. 分页抓取（写入 `all_workflows.json`）
+
+```bash
+page=1
+echo "[]" > all_workflows.json
+
+while :; do
+  resp=$(curl -s -X GET \
+    "$BASE/api/v1/lab/workflow/owner/list?page=$page&page_size=1000&lab_uuid=$lab_uuid" \
+    -H "$AUTH")
+
+  page_data=$(echo "$resp" | jq -c '.data.data // []')
+  jq -c --argjson p "$page_data" '. + $p' all_workflows.json > _tmp.json && mv _tmp.json all_workflows.json
+
+  has_more=$(echo "$resp" | jq -r '.data.has_more')
+  [ "$has_more" != "true" ] && break
+  page=$((page + 1))
+done
+
+echo "Total: $(jq 'length' all_workflows.json)"
+```
+
+### 2. 汇总所有标签（含出现次数）
+
+```bash
+jq '[.[].tags // [] | .[]] | group_by(.) | map({tag: .[0], count: length}) | sort_by(-.count)' \
+  all_workflows.json
+```
+
+### 3. 按标签筛选
+
+```bash
+# ANY：包含任一指定标签
+jq --argjson want '["synthesis","organic"]' \
+  '[.[] | select((.tags // []) | any(. as $t | $want | index($t)))]' \
+  all_workflows.json
+
+# ALL：同时包含所有指定标签
+jq --argjson want '["synthesis","organic"]' \
+  '[.[] | select(($want | all(. as $w | (.tags // []) | index($w))))]' \
+  all_workflows.json
+```
+
+---
+
+## 筛选策略
+
+agent 拿到用户的「领域 + 场景」自然语言描述时，按如下顺序选择 tag：
+
+1. **优先用户显式指定的 tags**：若用户明确给出标签词，直接精确匹配。
+2. **从 all_tags 中做语义映射**：若用户描述是自然语言（如"有机合成、柱层析"），在 all_tags 中找语义相关项（如 `synthesis`、`organic`、`chromatography`）。必要时展示候选 tag 让用户确认。
+3. **模式选择**：
+   - 默认 `any`（更多召回），给出 tag 集合的并集匹配
+   - 用户强调"必须同时满足"时用 `all`
+4. **空结果兜底**：如果筛选为空，放宽条件（去掉最稀有 tag、切换 any 模式），并提醒用户。
+
+---
+
+## 引导到明确的 Protocol
+
+筛选完成后，**最终目标是让用户确认一个具体的 workflow_uuid**，而不是停留在"一堆候选"上。按结果数量采取不同策略：
+
+| 结果数量  | 策略                                                                                                                               |
+| --------- | ---------------------------------------------------------------------------------------------------------------------------------- |
+| 0 条      | 放宽筛选（去掉最稀有 tag → 切换 any 模式 → 去掉 `--published-only`）。仍为空则提示换关键词，或列出 `all_tags` 让用户重新选。 |
+| 1 条      | 直接确认："找到唯一匹配：`<name>` (uuid `<uuid>`)，是否用它？"用户确认后记录 `workflow_uuid`。                               |
+| 2–10 条  | 编号列表展示，让用户选编号。每项给出 name、tags、description 摘要、published 状态。                                                |
+| 10–30 条 | 先展示 tag 分布帮助用户进一步收紧：列出匹配结果中最常见的子标签，提示"加一个 tag 可将结果缩小到 N 条"。                            |
+| >30 条    | 强制要求用户补充条件：仅 published、指定具体 tag 组合、或按名称关键词过滤。                                                        |
+
+**确认 workflow 后**：
+
+1. 将 `workflow_uuid` 写入 session state
+2. 提示用户下一步可用的 skill：
+   - 提交实验 → 引导到“与其他 Skill 的协作”
+   - 查看 workflow 详细节点 → `GET /api/v1/lab/workflow/template/detail/<workflow_uuid>`
+3. 若用户想换一个，回到筛选步骤。
+
+---
+
+## 展示结果
+
+推荐格式（表格 + 汇总统计）：
+
+```
+共 150 个工作流，其中 32 个匹配筛选条件 [tags: synthesis OR organic]
+
+| UUID (短) | 名称                     | Tags                         | 已发布 |
+|-----------|--------------------------|------------------------------|--------|
+| e0436638  | Synthesis v2             | synthesis, organic           | ✓      |
+| 5b60dbb8  | Grignard Protocol        | synthesis, organometallic    | ✓      |
+| ...       | ...                      | ...                          | ...    |
+
+所有可用标签（按频次）：
+  synthesis (12), organic (8), analysis (5), purification (4), ...
+```
+
+如果用户下一步想执行某工作流 → 引导到“与其他 Skill 的协作”。
+
+---
+
+## 常见问题
+
+### Q: tags 为 null 的工作流要不要展示？
+
+默认**不展示**在筛选结果中（因为无法按 tag 匹配）。但在 `--summary-only` 或无筛选条件时，这些工作流仍会计入总数，并在输出中单独列出"未打标签"计数。
+
+### Q: 如何按名称/描述做模糊匹配？
+
+脚本未内置，但可在 jq 中组合：
+
+```bash
+jq '[.[] | select((.name + " " + (.description // "")) | test("organic"; "i"))]' all_workflows.json
+```
+
+### Q: `page_size=1000` 是否会被服务端限制？
+
+接口通常允许最大 1000；如果返回量少于 1000 且 `has_more=false`，说明已到末页。极端情况下若服务端返回错误，可降到 200 或 500 再试。
+
+### Q: 工作流数量极大（>10k）怎么办？
+
+1. 先跑 `--summary-only` 了解 tag 分布
+2. 提示用户先限定 `--published-only` 或指定 tag
+3. 考虑将 `all_workflows.json` 缓存到本地，下次直接复用
+
+---
+
+## 与其他 Skill 的协作
+
+- 正常情况下，找到 workflow 之后可以直接用它提交实验（启动工作流的 api 端点 POST $BASE/api/v1/lab/workflow/<workflow_uuid>/run，不用别的 skill）
+- **仅当需要进行多次实验时，使用 batch-submit-experiment** — 筛选到目标工作流后，`workflow_uuid` 直接用于实验提交
+
+## 脚本依赖
+
+`scripts/filter_workflows.py` 仅使用 Python 标准库（`urllib`、`json`、`argparse`），无需额外安装。

.cursor/skills/filter-workflow-by-tags/scripts/filter_workflows.py

@@ -0,0 +1,191 @@
+#!/usr/bin/env python3
+"""分页拉取 Uni-Lab 工作流列表，汇总 tags 并按 tag 筛选。
+
+使用示例:
+    python filter_workflows.py \
+        --auth <base64token> \
+        --base https://leap-lab.test.bohrium.com \
+        --lab-uuid a9059772-... \
+        --tags synthesis organic --mode any
+
+仅依赖 Python 标准库。
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+import urllib.error
+import urllib.parse
+import urllib.request
+from collections import Counter
+
+
+def fetch_all_workflows(base: str, auth_token: str, lab_uuid: str, page_size: int = 1000) -> list[dict]:
+    """分页拉取所有 owner 工作流，直到 has_more=false。"""
+    workflows: list[dict] = []
+    page = 1
+    while True:
+        query = urllib.parse.urlencode(
+            {"page": page, "page_size": page_size, "lab_uuid": lab_uuid}
+        )
+        url = f"{base.rstrip('/')}/api/v1/lab/workflow/owner/list?{query}"
+        req = urllib.request.Request(
+            url,
+            headers={
+                "Authorization": f"Lab {auth_token}",
+                "Accept": "application/json",
+            },
+        )
+        try:
+            with urllib.request.urlopen(req, timeout=30) as resp:
+                payload = json.loads(resp.read().decode("utf-8"))
+        except urllib.error.HTTPError as e:
+            sys.exit(f"[ERROR] HTTP {e.code} on page {page}: {e.read().decode('utf-8', 'ignore')}")
+        except urllib.error.URLError as e:
+            sys.exit(f"[ERROR] URL error on page {page}: {e.reason}")
+
+        if payload.get("code") != 0:
+            sys.exit(f"[ERROR] API returned non-zero code: {payload}")
+
+        data = payload.get("data") or {}
+        page_items = data.get("data") or []
+        workflows.extend(page_items)
+
+        if not data.get("has_more"):
+            break
+        page += 1
+        # 防御性兜底，避免接口异常导致无限循环
+        if page > 1000:
+            print(f"[WARN] page count exceeded 1000, stopping early", file=sys.stderr)
+            break
+
+    return workflows
+
+
+def aggregate_tags(workflows: list[dict]) -> tuple[list[str], dict[str, int], int]:
+    """返回 (sorted_tags, tag_counts, untagged_count)。"""
+    counter: Counter[str] = Counter()
+    untagged = 0
+    for wf in workflows:
+        tags = wf.get("tags")
+        if not tags:
+            untagged += 1
+            continue
+        for t in tags:
+            if isinstance(t, str) and t.strip():
+                counter[t.strip()] += 1
+    return sorted(counter.keys()), dict(counter), untagged
+
+
+def filter_workflows(
+    workflows: list[dict],
+    want_tags: list[str],
+    mode: str,
+    published_only: bool,
+) -> list[dict]:
+    """按 tag 筛选。mode 取值 any / all。"""
+    want_set = {t.strip() for t in want_tags if t.strip()}
+    out: list[dict] = []
+    for wf in workflows:
+        if published_only and not wf.get("published"):
+            continue
+        if not want_set:
+            out.append(wf)
+            continue
+        tags = wf.get("tags") or []
+        tag_set = {t for t in tags if isinstance(t, str)}
+        if mode == "all":
+            if want_set.issubset(tag_set):
+                out.append(wf)
+        else:  # any
+            if want_set & tag_set:
+                out.append(wf)
+    return out
+
+
+def project_workflow(wf: dict) -> dict:
+    """精简输出字段。"""
+    return {
+        "uuid": wf.get("uuid"),
+        "name": wf.get("name"),
+        "description": wf.get("description", ""),
+        "tags": wf.get("tags") or [],
+        "published": bool(wf.get("published")),
+        "user_id": wf.get("user_id"),
+    }
+
+
+def parse_args() -> argparse.Namespace:
+    p = argparse.ArgumentParser(description="Fetch & filter Uni-Lab workflows by tags.")
+    p.add_argument("--auth", required=True, help="Base64 token (the part after `Lab `).")
+    p.add_argument("--base", required=True, help="Base URL, e.g. https://leap-lab.test.bohrium.com")
+    p.add_argument("--lab-uuid", required=True, help="Lab UUID.")
+    p.add_argument("--tags", nargs="*", default=[], help="Tags to filter by (space separated).")
+    p.add_argument(
+        "--mode",
+        choices=["any", "all"],
+        default="any",
+        help="any: workflow contains at least one tag; all: workflow contains every tag.",
+    )
+    p.add_argument("--published-only", action="store_true", help="Only include published workflows.")
+    p.add_argument("--page-size", type=int, default=1000, help="Page size, default 1000.")
+    p.add_argument(
+        "--summary-only",
+        action="store_true",
+        help="Print tag summary without applying filter (still fetches everything).",
+    )
+    p.add_argument("--output", help="Write JSON result to this path. If omitted, print to stdout.")
+    return p.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    workflows = fetch_all_workflows(
+        base=args.base,
+        auth_token=args.auth,
+        lab_uuid=args.lab_uuid,
+        page_size=args.page_size,
+    )
+    sorted_tags, tag_counts, untagged = aggregate_tags(workflows)
+
+    if args.summary_only:
+        result = {
+            "total_workflows": len(workflows),
+            "untagged_count": untagged,
+            "tag_counts": tag_counts,
+            "all_tags": sorted_tags,
+        }
+    else:
+        filtered = filter_workflows(
+            workflows,
+            want_tags=args.tags,
+            mode=args.mode,
+            published_only=args.published_only,
+        )
+        result = {
+            "total_workflows": len(workflows),
+            "untagged_count": untagged,
+            "tag_counts": tag_counts,
+            "all_tags": sorted_tags,
+            "filter": {
+                "tags": args.tags,
+                "mode": args.mode,
+                "published_only": args.published_only,
+            },
+            "matched_count": len(filtered),
+            "filtered_workflows": [project_workflow(wf) for wf in filtered],
+        }
+
+    payload = json.dumps(result, ensure_ascii=False, indent=2)
+    if args.output:
+        with open(args.output, "w", encoding="utf-8") as f:
+            f.write(payload)
+        print(f"Wrote {len(workflows)} workflows summary → {args.output}", file=sys.stderr)
+    else:
+        print(payload)
+
+
+if __name__ == "__main__":
+    main()

.cursor/skills/virtual-workbench/SKILL.md

@@ -10,7 +10,8 @@ description: Operate Virtual Workbench via REST API — prepare materials, move
 - **device_id**: `virtual_workbench`
 - **Python 源码**: `unilabos/devices/virtual/workbench.py`
 - **设备类**: `VirtualWorkbench`
-- **动作数**: 6（`auto-prepare_materials`, `auto-move_to_heating_station`, `auto-start_heating`, `auto-move_to_output`, `transfer`, `manual_confirm`）
+- **当前纳入动作**: 5 个（`auto-prepare_materials`, `auto-move_to_heating_station`, `auto-start_heating`, `auto-move_to_output`, `transfer`）
+- **暂跳过动作**: `manual_confirm`、扣电测试 `test`（需要启用时先从最新注册表重新提取 schema）
 - **设备描述**: 模拟工作台，包含 1 个机械臂（每次操作 2s，独占锁）和 3 个加热台（每次加热 60s，可并行）
 
 ### 典型工作流程
@@ -151,7 +152,8 @@ curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
 | `auto-start_heating` | `UniLabJsonCommand` |
 | `auto-move_to_output` | `UniLabJsonCommand` |
 | `transfer` | `UniLabJsonCommandAsync` |
-| `manual_confirm` | `UniLabJsonCommand` |
+
+> `manual_confirm` 和扣电测试 `test` 当前不纳入本 skill 的推荐操作范围；不要基于历史 JSON 直接调用，需先重新生成并校验 schema。
 
 ### 10. 查询任务状态
 
@@ -225,11 +227,9 @@ curl -s -X PUT "$BASE/api/v1/edge/material/node" \
 | `transfer`        | `resource`       | ResourceSlot | 待转移物料数组       |
 | `transfer`        | `target_device`  | DeviceSlot   | 目标设备路径         |
 | `transfer`        | `mount_resource` | ResourceSlot | 目标孔位数组         |
-| `manual_confirm`  | `resource`       | ResourceSlot | 确认用物料数组       |
-| `manual_confirm`  | `target_device`  | DeviceSlot   | 确认用目标设备       |
-| `manual_confirm`  | `mount_resource` | ResourceSlot | 确认用目标孔位数组   |
 
 > `prepare_materials`、`move_to_heating_station`、`start_heating`、`move_to_output` 这 4 个动作**无 Slot 字段**，参数为纯数值/整数。
+> `manual_confirm` 先跳过，不维护其 Slot 字段表。
 
 ---
 
@@ -270,3 +270,13 @@ prepare_materials (count=5)
 ```
 
 创建节点时，`prepare_materials` 的 5 个 output handle（`channel_1` ~ `channel_5`）分别连接到 5 个 `move_to_heating_station` 节点的 `material_input` handle。每个 `move_to_heating_station` 的 `heating_station_output` 和 `material_number_output` 连接到对应 `start_heating` 的 `station_id_input` 和 `material_number_input`。
+
+`start_heating` 完成后还需要继续连接到 `move_to_output`，否则加热完成的物料不会移出加热台：
+
+| source action | source handle | target action | target handle | 传递参数 |
+| ------------- | ------------- | ------------- | ------------- | -------- |
+| `auto-prepare_materials` | `channel_N` | `auto-move_to_heating_station` | `material_input` | `material_number` |
+| `auto-move_to_heating_station` | `heating_station_output` | `auto-start_heating` | `station_id_input` | `station_id` |
+| `auto-move_to_heating_station` | `material_number_output` | `auto-start_heating` | `material_number_input` | `material_number` |
+| `auto-start_heating` | `heating_done_station` | `auto-move_to_output` | `output_station_input` | `station_id` |
+| `auto-start_heating` | `heating_done_material` | `auto-move_to_output` | `output_material_input` | `material_number` |

.cursor/skills/virtual-workbench/action-index.md

@@ -1,6 +1,8 @@
 # Action Index — virtual_workbench
 
-6 个动作，按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`。
+当前纳入 5 个动作，按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`。
+
+暂跳过：`manual_confirm`、扣电测试 `test`。这两个动作需要启用时，先从最新 `req_device_registry_upload.json` 重新提取 schema 并校验参数。
 
 ---
 
@@ -60,17 +62,18 @@
 
 ---
 
-## 人工确认
+## 暂跳过动作
 
 ### `manual_confirm`
 
-创建人工确认节点，等待用户手动确认后继续（含物料转移上下文）
+创建人工确认节点，等待用户手动确认后继续（含物料转移上下文）。当前先不纳入推荐操作范围。
 
 - **action_type**: `UniLabJsonCommand`
 - **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
-- **核心参数**: `resource`, `target_device`, `mount_resource`, `timeout_seconds`, `assignee_user_ids`
+- **状态**: 暂跳过。源码参数已包含扣电测试相关字段，历史 JSON 可能过期；需要启用时重新提取 schema。
-- **占位符字段**:
+
-  - `resource` — **ResourceSlot**，物料数组
+### `test`
-  - `target_device` — **DeviceSlot**，目标设备路径
+
-  - `mount_resource` — **ResourceSlot**，目标孔位数组
+启动扣电测试。当前先不纳入本 skill。
-  - `assignee_user_ids` — `unilabos_manual_confirm` 类型
+
+- **状态**: 暂跳过。需要启用时从注册表生成 `actions/test.json` 后再补充索引。

.github/workflows/ci-check.yml

@@ -25,7 +25,7 @@ jobs:
           fetch-depth: 0
 
       - name: Setup Miniforge
-        uses: conda-incubator/setup-miniconda@v3
+        uses: conda-incubator/setup-miniconda@v4
         with:
           miniforge-version: latest
           use-mamba: true
@@ -38,7 +38,7 @@ jobs:
       - name: Install ROS dependencies, uv and unilabos-msgs
         run: |
           echo Installing ROS dependencies...
-          mamba install -n check-env conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -c robostack-staging -c conda-forge -c uni-lab -y
+          mamba install -n check-env --override-channels -c robostack-staging -c conda-forge -c uni-lab conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -y
 
       - name: Install pip dependencies and unilabos
         run: |

.github/workflows/conda-pack-build.yml

@@ -1,6 +1,10 @@
 name: Build Conda-Pack Environment
 
 on:
+  # 在 UniLabOS Conda Build 成功上传后自动构建非全量 conda-pack
+  workflow_run:
+    workflows: ["UniLabOS Conda Build"]
+    types: [completed]
   workflow_dispatch:
     inputs:
       branch:
@@ -21,6 +25,16 @@ on:
 
 jobs:
   build-conda-pack:
+    if: |
+      github.event_name == 'workflow_dispatch' ||
+      (
+        github.event_name == 'workflow_run' &&
+        github.event.workflow_run.conclusion == 'success' &&
+        github.event.workflow_run.event == 'workflow_run'
+      )
+    env:
+      BUILD_FULL: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}
+      PACKAGE_REF: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref_name }}
     strategy:
       fail-fast: false
       matrix:
@@ -29,7 +43,7 @@ jobs:
             platform: linux-64
             env_file: unilabos-linux-64.yaml
             script_ext: sh
-          - os: macos-15 # Intel (via Rosetta)
+          - os: macos-15-intel # Intel x86_64
             platform: osx-64
             env_file: unilabos-osx-64.yaml
             script_ext: sh
@@ -54,7 +68,9 @@ jobs:
         id: should_build
         shell: bash
         run: |
-          if [[ -z "${{ github.event.inputs.platforms }}" ]]; then
+          if [[ "${{ github.event_name }}" != "workflow_dispatch" ]]; then
+            echo "should_build=true" >> $GITHUB_OUTPUT
+          elif [[ -z "${{ github.event.inputs.platforms }}" ]]; then
             echo "should_build=true" >> $GITHUB_OUTPUT
           elif [[ "${{ github.event.inputs.platforms }}" == *"${{ matrix.platform }}"* ]]; then
             echo "should_build=true" >> $GITHUB_OUTPUT
@@ -65,17 +81,17 @@ jobs:
       - uses: actions/checkout@v6
         if: steps.should_build.outputs.should_build == 'true'
         with:
-          ref: ${{ github.event.inputs.branch }}
+          ref: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
       - name: Setup Miniforge (with mamba)
         if: steps.should_build.outputs.should_build == 'true'
-        uses: conda-incubator/setup-miniconda@v3
+        uses: conda-incubator/setup-miniconda@v4
         with:
           miniforge-version: latest
           use-mamba: true
           python-version: '3.11.14'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: flexible
           activate-environment: unilab
           auto-update-conda: false
@@ -86,13 +102,13 @@ jobs:
         run: |
           echo Installing unilabos and dependencies to unilab environment...
           echo Using mamba for faster and more reliable dependency resolution...
-          echo Build full: ${{ github.event.inputs.build_full }}
+          echo Build full: ${{ env.BUILD_FULL }}
-          if "${{ github.event.inputs.build_full }}"=="true" (
+          if "${{ env.BUILD_FULL }}"=="true" (
             echo Installing unilabos-full ^(complete package^)...
-            mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
           ) else (
             echo Installing unilabos ^(minimal package^)...
-            mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
           )
 
       - name: Install conda-pack, unilabos and dependencies (Unix)
@@ -101,13 +117,13 @@ jobs:
         run: |
           echo "Installing unilabos and dependencies to unilab environment..."
           echo "Using mamba for faster and more reliable dependency resolution..."
-          echo "Build full: ${{ github.event.inputs.build_full }}"
+          echo "Build full: ${{ env.BUILD_FULL }}"
-          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+          if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
             echo "Installing unilabos-full (complete package)..."
-            mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
           else
             echo "Installing unilabos (minimal package)..."
-            mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
           fi
 
       - name: Get latest ros-humble-unilabos-msgs version (Windows)
@@ -134,27 +150,27 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Checking for available ros-humble-unilabos-msgs versions...
-          mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo Search completed
+          mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo Search completed
           echo.
           echo Updating ros-humble-unilabos-msgs to latest version...
-          mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo Already at latest version
+          mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo Already at latest version
 
       - name: Check for newer ros-humble-unilabos-msgs (Unix)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
         shell: bash
         run: |
           echo "Checking for available ros-humble-unilabos-msgs versions..."
-          mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo "Search completed"
+          mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo "Search completed"
           echo ""
           echo "Updating ros-humble-unilabos-msgs to latest version..."
-          mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo "Already at latest version"
+          mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo "Already at latest version"
 
       - name: Install latest unilabos from source (Windows)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Uninstalling existing unilabos...
           mamba run -n unilab pip uninstall unilabos -y || echo unilabos not installed via pip
-          echo Installing unilabos from source (branch: ${{ github.event.inputs.branch }})...
+          echo Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})...
           mamba run -n unilab pip install .
           echo Verifying installation...
           mamba run -n unilab pip show unilabos
@@ -165,7 +181,7 @@ jobs:
         run: |
           echo "Uninstalling existing unilabos..."
           mamba run -n unilab pip uninstall unilabos -y || echo "unilabos not installed via pip"
-          echo "Installing unilabos from source (branch: ${{ github.event.inputs.branch }})..."
+          echo "Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})..."
           mamba run -n unilab pip install .
           echo "Verifying installation..."
           mamba run -n unilab pip show unilabos
@@ -226,7 +242,9 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Packing unilab environment with conda-pack...
-          mamba activate unilab && conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
+          for /f "delims=" %%i in ('mamba run -n unilab python -c "import os; print(os.environ['CONDA_PREFIX'])"') do set "UNILAB_PREFIX=%%i"
+          echo Packing environment at: %UNILAB_PREFIX%
+          mamba run -n unilab conda-pack -p "%UNILAB_PREFIX%" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
           echo Pack file created:
           dir unilab-env-${{ matrix.platform }}.tar.gz
 
@@ -235,8 +253,9 @@ jobs:
         shell: bash
         run: |
           echo "Packing unilab environment with conda-pack..."
-          mamba install conda-pack -c conda-forge -y
+          UNILAB_PREFIX="$(mamba run -n unilab python -c 'import os; print(os.environ["CONDA_PREFIX"])')"
-          conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
+          echo "Packing environment at: $UNILAB_PREFIX"
+          mamba run -n unilab conda-pack -p "$UNILAB_PREFIX" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
           echo "Pack file created:"
           ls -lh unilab-env-${{ matrix.platform }}.tar.gz
 
@@ -267,7 +286,7 @@ jobs:
 
           rem Create README using Python script
           echo Creating: README.txt
-          python scripts\create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package\README.txt
+          python scripts\create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package\README.txt
 
           echo.
           echo Distribution package contents:
@@ -303,7 +322,7 @@ jobs:
 
           # Create README using Python script
           echo "Creating: README.txt"
-          python scripts/create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package/README.txt
+          python scripts/create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package/README.txt
 
           echo ""
           echo "Distribution package contents:"
@@ -314,7 +333,7 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true'
         uses: actions/upload-artifact@v6
         with:
-          name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
+          name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
           path: dist-package/
           retention-days: 90
           if-no-files-found: error
@@ -326,9 +345,9 @@ jobs:
           echo Build Summary
           echo ==========================================
           echo Platform: ${{ matrix.platform }}
-          echo Branch: ${{ github.event.inputs.branch }}
+          echo Branch: ${{ env.PACKAGE_REF }}
           echo Python version: 3.11.14
-          if "${{ github.event.inputs.build_full }}"=="true" (
+          if "${{ env.BUILD_FULL }}"=="true" (
             echo Package: unilabos-full ^(complete^)
           ) else (
             echo Package: unilabos ^(minimal^)
@@ -337,7 +356,7 @@ jobs:
           echo Distribution package contents:
           dir dist-package
           echo.
-          echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
+          echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
           echo.
           echo After download, extract the ZIP and run:
           echo   install_unilab.bat
@@ -351,9 +370,9 @@ jobs:
           echo "Build Summary"
           echo "=========================================="
           echo "Platform: ${{ matrix.platform }}"
-          echo "Branch: ${{ github.event.inputs.branch }}"
+          echo "Branch: ${{ env.PACKAGE_REF }}"
           echo "Python version: 3.11.14"
-          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+          if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
             echo "Package: unilabos-full (complete)"
           else
             echo "Package: unilabos (minimal)"
@@ -362,7 +381,7 @@ jobs:
           echo "Distribution package contents:"
           ls -lh dist-package/
           echo ""
-          echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}"
+          echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}"
           echo ""
           echo "After download:"
           echo "  install_unilab.sh"

.github/workflows/deploy-docs.yml

@@ -51,12 +51,12 @@ jobs:
           fetch-depth: 0
 
       - name: Setup Miniforge (with mamba)
-        uses: conda-incubator/setup-miniconda@v3
+        uses: conda-incubator/setup-miniconda@v4
         with:
           miniforge-version: latest
           use-mamba: true
           python-version: '3.11.14'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: flexible
           activate-environment: unilab
           auto-update-conda: false
@@ -66,7 +66,7 @@ jobs:
         run: |
           echo "Installing unilabos and dependencies to unilab environment..."
           echo "Using mamba for faster and more reliable dependency resolution..."
-          mamba install -n unilab uni-lab::unilabos -c uni-lab -c robostack-staging -c conda-forge -y
+          mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos -y
 
       - name: Install latest unilabos from source
         run: |
@@ -84,7 +84,7 @@ jobs:
 
       - name: Setup Pages
         id: pages
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v6
         if: |
           github.event.workflow_run.head_branch == 'main' ||
           (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
@@ -105,7 +105,7 @@ jobs:
           test -f docs/_build/html/index.html && echo "✓ index.html exists" || echo "✗ index.html missing"
 
       - name: Upload build artifacts
-        uses: actions/upload-pages-artifact@v4
+        uses: actions/upload-pages-artifact@v5
         if: |
           github.event.workflow_run.head_branch == 'main' ||
           (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
@@ -125,4 +125,4 @@ jobs:
     steps:
       - name: Deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@v4
+        uses: actions/deploy-pages@v5

.github/workflows/multi-platform-build.yml

@@ -10,6 +10,9 @@ on:
   # 支持 tag 推送（不依赖 CI Check）
   push:
     tags: ['v*']
+  # GitHub Release 发布时自动构建并上传
+  release:
+    types: [published]
   # 手动触发
   workflow_dispatch:
     inputs:
@@ -60,7 +63,7 @@ jobs:
           - os: ubuntu-latest
             platform: linux-64
             env_file: unilabos-linux-64.yaml
-          - os: macos-15 # Intel (via Rosetta)
+          - os: macos-15-intel # Intel x86_64
             platform: osx-64
             env_file: unilabos-osx-64.yaml
           - os: macos-latest # ARM64
@@ -80,7 +83,7 @@ jobs:
       - uses: actions/checkout@v6
         with:
           # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
-          ref: ${{ github.event.workflow_run.head_sha || github.ref }}
+          ref: ${{ github.event.workflow_run.head_sha || github.event.release.tag_name || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -96,12 +99,14 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
-        uses: conda-incubator/setup-miniconda@v3
+        uses: conda-incubator/setup-miniconda@v4
         with:
-          miniconda-version: 'latest'
+          miniforge-version: latest
-          channels: conda-forge,robostack-staging,defaults
+          use-mamba: true
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging
           channel-priority: strict
           activate-environment: build-env
           auto-update-conda: false
@@ -110,24 +115,22 @@ jobs:
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install -n build-env --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           conda info
-          conda list | grep -E "(rattler-build|anaconda-client)"
+          conda list -n build-env | grep -E "(rattler-build|anaconda-client)"
+          conda run -n build-env rattler-build --version
+          conda run -n build-env anaconda --version
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
 
       - name: Build conda package
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          if [[ "${{ matrix.platform }}" == "osx-arm64" ]]; then
+          conda run -n build-env rattler-build build -r ./recipes/msgs/recipe.yaml --target-platform ${{ matrix.platform }} -c robostack -c robostack-staging -c conda-forge
-            rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
-          else
-            rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
-          fi
 
       - name: List built packages
         if: steps.should_build.outputs.should_build == 'true'
@@ -157,9 +160,15 @@ jobs:
           retention-days: 30
 
       - name: Upload to Anaconda.org (unilab organization)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'release' ||
+            startsWith(github.ref, 'refs/tags/') ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           for package in $(find ./output -name "*.conda"); do
             echo "Uploading $package to unilab organization..."
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done

.github/workflows/unilabos-conda-build.yml

@@ -1,14 +1,10 @@
 name: UniLabOS Conda Build
 
 on:
-  # 在 CI Check 成功后自动触发
+  # 在 Multi-Platform Conda Build 成功上传 msgs 后自动触发
   workflow_run:
-    workflows: ["CI Check"]
+    workflows: ["Multi-Platform Conda Build"]
     types: [completed]
-    branches: [main, dev]
-  # 标签推送时直接触发（发布版本）
-  push:
-    tags: ['v*']
   # 手动触发
   workflow_dispatch:
     inputs:
@@ -33,37 +29,37 @@ on:
         type: boolean
 
 jobs:
-  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
+  # 等待上游 msgs 构建完成的 job (仅用于 workflow_run 触发)
-  wait-for-ci:
+  wait-for-upstream:
     runs-on: ubuntu-latest
     if: github.event_name == 'workflow_run'
     outputs:
       should_continue: ${{ steps.check.outputs.should_continue }}
     steps:
-      - name: Check CI status
+      - name: Check upstream workflow status
         id: check
         run: |
-          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" && ( "${{ github.event.workflow_run.event }}" == "release" || "${{ github.event.workflow_run.event }}" == "push" ) ]]; then
             echo "should_continue=true" >> $GITHUB_OUTPUT
-            echo "CI Check passed, proceeding with build"
+            echo "Multi-Platform Conda Build passed for release/tag, proceeding with UniLabOS build"
           else
             echo "should_continue=false" >> $GITHUB_OUTPUT
-            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+            echo "Upstream workflow is not a successful release/tag build (status: ${{ github.event.workflow_run.conclusion }}, event: ${{ github.event.workflow_run.event }}), skipping build"
           fi
 
   build:
-    needs: [wait-for-ci]
+    needs: [wait-for-upstream]
-    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    # 运行条件：workflow_run 触发且上游成功，或者手动触发
     if: |
       always() &&
-      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
+      (needs.wait-for-upstream.result == 'skipped' || needs.wait-for-upstream.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
         include:
           - os: ubuntu-latest
             platform: linux-64
-          - os: macos-15 # Intel (via Rosetta)
+          - os: macos-15-intel # Intel x86_64
             platform: osx-64
           - os: macos-latest # ARM64
             platform: osx-arm64
@@ -79,7 +75,7 @@ jobs:
     steps:
       - uses: actions/checkout@v6
         with:
-          # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
+          # 如果是 workflow_run 触发，使用上游 conda 包构建的 commit
           ref: ${{ github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
@@ -96,12 +92,14 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
-        uses: conda-incubator/setup-miniconda@v3
+        uses: conda-incubator/setup-miniconda@v4
         with:
-          miniconda-version: 'latest'
+          miniforge-version: latest
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          use-mamba: true
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: strict
           activate-environment: build-env
           auto-update-conda: false
@@ -110,20 +108,22 @@ jobs:
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install -n build-env --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           conda info
-          conda list | grep -E "(rattler-build|anaconda-client)"
+          conda list -n build-env | grep -E "(rattler-build|anaconda-client)"
+          conda run -n build-env rattler-build --version
+          conda run -n build-env anaconda --version
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
-          echo "Build full package: ${{ github.event.inputs.build_full || 'false' }}"
+          echo "Build full package: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}"
           echo "Building packages:"
           echo "  - unilabos-env (environment dependencies)"
           echo "  - unilabos (with pip package)"
-          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+          if [[ "${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}" == "true" ]]; then
             echo "  - unilabos-full (complete package)"
           fi
 
@@ -131,14 +131,19 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           echo "Building unilabos-env (conda environment dependencies)..."
-          rattler-build build -r .conda/environment/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
+          conda run -n build-env rattler-build build -r .conda/environment/recipe.yaml --target-platform ${{ matrix.platform }} -c uni-lab -c robostack-staging -c conda-forge
 
       - name: Upload unilabos-env to Anaconda.org (if enabled)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           echo "Uploading unilabos-env to uni-lab organization..."
           for package in $(find ./output -name "unilabos-env*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: Build unilabos (with pip package)
@@ -146,33 +151,40 @@ jobs:
         run: |
           echo "Building unilabos package..."
           # 如果已上传到 Anaconda，从 uni-lab channel 获取 unilabos-env；否则从本地 output 获取
-          rattler-build build -r .conda/base/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+          conda run -n build-env rattler-build build -r .conda/base/recipe.yaml --target-platform ${{ matrix.platform }} -c uni-lab -c robostack-staging -c conda-forge --channel ./output
 
       - name: Upload unilabos to Anaconda.org (if enabled)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           echo "Uploading unilabos to uni-lab organization..."
           for package in $(find ./output -name "unilabos-0*.conda" -o -name "unilabos-[0-9]*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: Build unilabos-full - Only when explicitly requested
         if: |
           steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
           github.event.inputs.build_full == 'true'
         run: |
           echo "Building unilabos-full package on ${{ matrix.platform }}..."
-          rattler-build build -r .conda/full/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+          conda run -n build-env rattler-build build -r .conda/full/recipe.yaml --target-platform ${{ matrix.platform }} -c uni-lab -c robostack-staging -c conda-forge --channel ./output
 
       - name: Upload unilabos-full to Anaconda.org (if enabled)
         if: |
           steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
           github.event.inputs.build_full == 'true' &&
           github.event.inputs.upload_to_anaconda == 'true'
         run: |
           echo "Uploading unilabos-full to uni-lab organization..."
           for package in $(find ./output -name "unilabos-full*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: List built packages

docs/developer_guide/add_PLC.md

@@ -0,0 +1,611 @@
+# PLC 通信标准与设备驱动编写指南（基于 AI4M 工站）
+
+> 本文档以 `unilabos/devices/workstation/AI4M`（水凝胶检测工站）为参考实现，
+> 介绍如何将 PLC 控制的实验设备接入 Uni-Lab-OS：包含通信协议选型、节点表标准、
+> 通信基类、设备驱动、Registry 配置以及调试方法。
+>
+> 阅读对象：负责现场调试与设备接入的同学。
+
+---
+
+## 0. 总览：一台 PLC 设备从硬件到云端的链路
+
+```
+       PLC（西门子 / 倍福 / 三菱 / 汇川 / 国产 PLC ...）
+                   ▲
+                   │  各家 PLC 私有协议（S7 / Modbus / EtherCAT ...）
+                   │
+        ┌──────────┴──────────┐
+        │  OPC UA Server      │  ← 统一在 PLC 侧或独立网关上配置
+        │  （内置或 KEPServer）│
+        └──────────┬──────────┘
+                   │  OPC UA over TCP（标准协议）
+                   │
+        ┌──────────┴──────────┐
+        │  Uni-Lab 设备驱动    │  ← 本教程主体
+        │  AI4MDevice         │
+        │  ├─ base_opcua_client.py  通信基类
+        │  ├─ opcua_nodes_*.csv     节点表（标准）
+        │  └─ AI4M.py               动作函数
+        └──────────┬──────────┘
+                   │  ROS2 Action / 云端 HTTP
+                   ▼
+              实验记录本 / 云端调度
+```
+
+**统一约定**：所有 PLC 设备**只暴露 OPC UA 接口**给 Uni-Lab，PC 端不直接处理 S7 / Modbus 等底层协议。
+这是 Uni-Lab 在工站类设备上的 PLC 通信标准。
+
+---
+
+## 1. 为什么选 OPC UA 作为标准？
+
+| 维度 | 自研 TCP/串口协议 | Modbus | **OPC UA** |
+|---|---|---|---|
+| 厂家无关 | ✗ | 部分 | **✓** |
+| 自带类型系统 | ✗ | ✗（裸寄存器） | **✓（Boolean/Int16/Float...）** |
+| 命名空间 / 节点树 | ✗ | ✗（地址=魔数） | **✓（带名字、可分组）** |
+| 订阅推送 | ✗ | ✗ | **✓（DataChange Notification）** |
+| 鉴权 / 加密 | 自己造 | ✗ | **✓** |
+| 与 PLC 工程师沟通成本 | 高 | 中 | **低（按变量名沟通）** |
+
+实际接入时，PLC 工程师只需要在 PLC 侧把约定的"上位通讯变量"暴露到 OPC UA Server，
+我们在 PC 侧就能用 `节点名 + 数据类型` 直接读写，不用管底层是 S7 还是 Modbus。
+
+---
+
+## 2. 节点表标准：`opcua_nodes_xxx.csv`
+
+PLC 侧暴露的所有变量统一**用一张 CSV 表**描述，这是 PC 端和 PLC 端**唯一的接口契约**。
+位置示例：`unilabos/devices/workstation/AI4M/opcua_nodes_AI4M.csv`。
+
+### 2.1 列定义
+
+| 列名 | 是否必填 | 说明 |
+|---|---|---|
+| `Name` | ✅ | 节点名（PLC 工程师在 PLC 项目中真实使用的变量名，通常是中文/原始名） |
+| `EnglishName` | 推荐 | 英文别名，**PC 端代码全部用这个名字**调用 |
+| `NodeType` | ✅ | `VARIABLE`（变量）或 `METHOD`（方法），AI4M 全部用变量 |
+| `DataType` | ✅ | `BOOLEAN` / `INT16` / `INT32` / `FLOAT` / `DOUBLE` / `STRING` ... |
+| `NodeLanguage` | 推荐 | `Chinese` / `English`，配合 `EnglishName` 做映射 |
+| `NodeId` | ✅ | OPC UA 标准 NodeId，格式 `ns=<namespace>;s=<string>` 或 `ns=<n>;i=<int>` |
+
+### 2.2 真实样例（节选自 `opcua_nodes_AI4M.csv`）
+
+| Name | EnglishName | NodeType | DataType | NodeLanguage | NodeId |
+|---|---|---|---|---|---|
+| 机器人空闲 | `robot_ready` | VARIABLE | BOOLEAN | Chinese | `ns=4;s=上位通讯变量\|机器人空闲` |
+| 机器人取烧杯编号 | `robot_pick_beaker_id` | VARIABLE | INT16 | Chinese | `ns=4;s=上位通讯变量\|机器人取烧杯编号` |
+| 检测1请求参数 | `station_1_request_params` | VARIABLE | BOOLEAN | Chinese | `ns=4;s=上位通讯变量\|检测1请求参数` |
+| 检测1工艺完成 | `station_1_process_complete` | VARIABLE | BOOLEAN | Chinese | `ns=4;s=上位通讯变量\|检测1工艺完成` |
+| 磁力搅拌参数设置_C[0].搅拌速度 | `mag_stirrer_c0_stir_speed` | VARIABLE | INT16 | Chinese | `ns=4;s=上位通讯变量\|磁力搅拌参数设置_C[0].搅拌速度` |
+| 报警复位 | `alarm_reset` | VARIABLE | BOOLEAN | Chinese | `ns=4;s=上位通讯变量\|报警复位` |
+
+### 2.3 设计规范（必读）
+
+1. **命名按"角色-编号-属性"分层**，便于代码批量寻址：
+   - `mag_stirrer_c{0..4}_stir_speed`（搅拌仪 0~4 的搅拌速度）
+   - `station_{1..3}_process_complete`（检测站 1~3 的完成信号）
+   - `robot_rack_pick_beaker_{1..5}_complete`（取烧杯 1~5 的完成信号）
+
+   这样在驱动里可以直接 `f"mag_stirrer_c{idx}_stir_speed"` 拼出节点名。
+
+2. **数据类型与 PLC 侧严格一致**：
+   - `BOOL` → `BOOLEAN`，`INT/WORD` → `INT16/UINT16`，`DINT` → `INT32`，`REAL` → `FLOAT`。
+   - 类型不一致会触发 `BadTypeMismatch`，写入失败。
+
+3. **NodeId 必须从 PLC 工程或 OPC UA Server 中导出**，不要自己拼。
+   常见格式：
+   - 西门子 1500：`ns=4;s=上位通讯变量|<变量名>`
+   - 倍福 TwinCAT：`ns=4;s=PLC1.MAIN.<变量名>`
+   - KEPServerEX：`ns=2;s=Channel1.Device1.<Tag>`
+
+4. **每个工站一个独立 CSV**，不要共用。
+   AI4M 中真机用 `opcua_nodes_AI4M.csv`，仿真用 `opcua_nodes_AI4M_sim.csv`。
+
+---
+
+## 3. 通信基类架构
+
+文件：`unilabos/devices/workstation/AI4M/base_opcua_client.py`
+
+整个通信层分两层：
+
+```
+BaseOpcUaClient                       # 最小可用：连接 + 节点注册 + 读写 + 方法调用
+        ▲
+        │ 继承
+        │
+OpcUaClientWithSubscription           # 生产可用：+ 订阅推送 + 缓存 + 自动重连
+        ▲
+        │ 继承
+        │
+AI4MDevice                            # 业务驱动：在它之上写设备动作函数
+```
+
+### 3.1 `BaseOpcUaClient` 核心能力
+
+```python
+class BaseOpcUaClient(UniversalDriver):
+    client: Optional[Client] = None
+    _node_registry: Dict[str, OpcUaNodeBase] = {}     # name -> Variable/Method
+    _name_mapping: Dict[str, str] = {}                # 英文名 -> 中文名
+    _reverse_mapping: Dict[str, str] = {}             # 中文名 -> 英文名
+    _found_node_objects: Dict[str, Any] = {}          # 缓存 ua.Node 用于订阅
+
+    @classmethod
+    def load_csv(cls, file_path) -> Tuple[List[OpcUaNode], dict, dict]: ...
+    def register_node_list(self, node_list) -> "BaseOpcUaClient": ...
+    def use_node(self, name) -> OpcUaNodeBase: ...
+    def read_node(self, node_name: str) -> str: ...   # 返回 JSON
+    def write_node(self, json_input: str) -> str: ...
+    def call_method(self, node_name, *args) -> Tuple[Any, bool]: ...
+```
+
+它做的事情可以归纳为四步：
+
+1. **`load_csv`**：读取节点表，建立 `Name ↔ EnglishName` 双向映射。
+2. **`register_node_list`**：把节点登记进 `_variables_to_find` 待查找列表。
+3. **`_connect` → `_find_nodes`**：连上 OPC UA 后，按 `NodeId` 把每个节点解析成 `Variable` / `Method` 对象，放进 `_node_registry`。
+4. **`use_node(name)`**：业务代码取节点的唯一入口，**支持中英文混用**，找不到会自动重试一次。
+
+### 3.2 `OpcUaClientWithSubscription` 增强能力
+
+在 `BaseOpcUaClient` 基础上提供三个生产环境必备的能力：
+
+#### a) 订阅缓存（高频读零开销）
+
+```python
+def _setup_subscriptions(self):
+    self._subscription = self.client.create_subscription(
+        self._subscription_interval,    # 默认 500ms
+        SubscriptionHandler(self),
+    )
+    for node_name, node in self._node_registry.items():
+        if node.type == NodeType.VARIABLE and node.node_id:
+            handle = self._subscription.subscribe_data_change(ua_node)
+            self._subscription_handles[node_name] = handle
+```
+
+当 PLC 侧变量变化时，`datachange_notification` 回调会把新值写进 `self._node_values[name]`，
+后续 `get_node_value` 优先读缓存——**业务代码可以放心地写 `while not self.get_node_value(...): time.sleep(1)` 而不用担心 OPC UA 频繁请求**。
+
+#### b) 智能缓存的 `get_node_value`
+
+```python
+def get_node_value(self, name, use_cache=True, force_read=False):
+    # 1. 中英文名归一化
+    chinese_name = self._name_mapping.get(name, name)
+
+    # 2. force_read=True 强制透传到 OPC UA Server
+    if force_read: ...
+
+    # 3. 命中订阅推送 → 直接返回缓存
+    # 4. 命中按需读 + 未过期（cache_timeout=5s）→ 返回缓存
+    # 5. 否则发起 read 并更新缓存
+```
+
+#### c) 连接监控 + 自动重连
+
+后台线程每 30s 调一次 `client.get_namespace_array()` 探活，断线则自动 `disconnect → connect → 重新订阅`，最多重试 5 次。
+
+### 3.3 数据类型 / 节点类型
+
+`unilabos/device_comms/opcua_client/node/uniopcua.py`：
+
+```python
+class DataType(Enum):
+    BOOLEAN = VariantType.Boolean
+    INT16   = VariantType.Int16
+    INT32   = VariantType.Int32
+    FLOAT   = VariantType.Float
+    STRING  = VariantType.String
+    # ...
+
+class NodeType(Enum):
+    VARIABLE = NodeClass.Variable
+    METHOD   = NodeClass.Method
+    OBJECT   = NodeClass.Object
+```
+
+`Variable.write()` 内部会按 `DataType` 做强制类型转换，
+所以 CSV 里的 `DataType` 列就是"PC 端转换写入值的类型说明书"。
+
+---
+
+## 4. 编写设备驱动：以 `AI4MDevice` 为例
+
+文件：`unilabos/devices/workstation/AI4M/AI4M.py`
+
+### 4.1 继承通信基类，最小骨架
+
+```python
+from typing import Optional
+from unilabos.devices.workstation.AI4M.base_opcua_client import OpcUaClientWithSubscription
+
+class AI4MDevice(OpcUaClientWithSubscription):
+    def __init__(
+        self,
+        url: str,                              # opc.tcp://192.168.1.10:4840
+        deck: Optional[AI4M_deck] = None,      # 物料台面（资源树）
+        csv_path: str = None,                  # 节点表 CSV
+        username: str = None,
+        password: str = None,
+        use_subscription: bool = True,
+        cache_timeout: float = 5.0,
+        subscription_interval: int = 500,
+        *args, **kwargs,
+    ):
+        super().__init__(
+            url=url, username=username, password=password,
+            use_subscription=use_subscription,
+            cache_timeout=cache_timeout,
+            subscription_interval=subscription_interval,
+            *args, **kwargs,
+        )
+
+        # 物料台面初始化（见教程 4. 物料系统）
+        self.deck = deck or AI4M_deck(setup=True)
+        self._robot_lock = threading.Lock()
+
+        # 关键：加载节点表
+        if csv_path:
+            self.load_nodes_from_csv(csv_path)
+```
+
+`load_nodes_from_csv` 会一次性完成：解析 CSV → 注册节点 → 解析 NodeId → 建立订阅，
+**之后整个驱动都通过 `self.get_node_value(name)` / `self.set_node_value(name, value)` 操作 PLC**。
+
+### 4.2 PLC 通信的核心模式：握手协议（Handshake）
+
+PLC 编程的本质是"扫描周期 + 状态机"，PC 端**绝对不能用 fire-and-forget 的方式发指令**。
+和 PLC 配合的标准模式是 **"PC 写指令 → PC 等待 PLC 回执 → PC 复位指令"**。
+
+AI4M 中所有 `trigger_*` 函数都遵循以下三种握手范式之一：
+
+#### 范式 A：脉冲触发 + 完成信号（最常用）
+
+```python
+def trigger_init(self) -> dict:
+    # ① 复位上一轮残留
+    self.set_node_value("alarm_reset", True); time.sleep(1.0)
+    self.set_node_value("alarm_reset", False)
+    self.set_node_value("manual_auto_switch", False)
+
+    # ② 等待 PLC 退出自动模式
+    while self.get_node_value("auto_mode"):
+        time.sleep(1.0)
+
+    # ③ 发起初始化脉冲（True → False）
+    self.set_node_value("initialize", True); time.sleep(1.0)
+    self.set_node_value("initialize", False)
+
+    # ④ 等待 PLC 给出完成信号
+    while not self.get_node_value("init finished"):
+        time.sleep(1.0)
+
+    return {"message": "设备初始化完成"}
+```
+
+要点：
+- **"PC 写一个 BOOL 拉高再拉低"** 模拟脉冲，PLC 用上升沿触发动作。
+- **`get_node_value` 要在 while 循环里轮询**，配合订阅缓存基本无压力。
+- **每个动作必须有"开始"和"完成"两个独立的 BOOL 节点**，不能复用。
+
+#### 范式 B：参数下发 + 请求/已执行/完成 三步握手（带数据的工艺）
+
+```python
+def trigger_station_process(self, station_id: int, mag_stir_speed: int, ...):
+    request_node        = f"station_{station_id}_request_params"
+    params_received_node = f"station_{station_id}_params_received"
+    start_node          = f"station_{station_id}_start"
+    complete_node       = f"station_{station_id}_process_complete"
+
+    # ① PC 复位三个状态位（避免上一轮影响）
+    self._reset_station_process_flags(station_id)
+
+    # ② 等 PLC 主动请求参数（PLC 准备好了才接收）
+    while not self.get_node_value(request_node):
+        time.sleep(1.0)
+
+    # ③ PC 下发参数（注意：PLC 内部数组是 0-based，PC 暴露给用户是 1-based）
+    station_idx = station_id - 1
+    self.set_node_value(f"mag_stirrer_c{station_idx}_stir_speed", mag_stir_speed)
+    self.set_node_value(f"mag_stirrer_c{station_idx}_heat_temp",  mag_stir_heat_temp)
+    self.set_node_value(f"mag_stirrer_c{station_idx}_time_set",   mag_stir_time_set)
+    self.set_node_value(f"syringe_pump_{station_idx}_abs_position_set", syringe_pump_abs_pos)
+
+    # ④ PC 通知 PLC "参数已就绪"，等 PLC 回复"已执行"
+    self.set_node_value(start_node, True)
+    while not self.get_node_value(params_received_node):
+        time.sleep(1.0)
+
+    # ⑤ 等 PLC 完成整个工艺
+    while not self.get_node_value(complete_node):
+        time.sleep(5.0)
+
+    self.set_node_value(start_node, False)   # 复位，方便下一轮
+    return {"station_id": station_id, "message": "..."}
+```
+
+四个状态位的语义：
+
+| 信号 | 方向 | 含义 |
+|---|---|---|
+| `station_X_request_params` | **PLC → PC** | "我准备好了，把参数给我" |
+| `station_X_start` | **PC → PLC** | "参数我已经写好了，开干" |
+| `station_X_params_received` | **PLC → PC** | "参数我已经吃下了" |
+| `station_X_process_complete` | **PLC → PC** | "工艺已经做完" |
+
+**这是 PLC 通信教科书级别的标准范式**，所有带数据下发的动作都建议照抄。
+
+#### 范式 C：编号下发 + 编号对应的完成信号（多目标互锁）
+
+```python
+def trigger_robot_pick_beaker(self, pick_beaker_id: int, place_station_id: int = None, ...):
+    # ① 等机器人空闲（互锁）
+    while not self.get_node_value("robot_ready"):
+        time.sleep(1.0)
+
+    # ② 阶段一：下发"取哪一杯"编号 + 等"取这一杯完成"
+    pick_complete_node  = f"robot_rack_pick_beaker_{pick_beaker_id}_complete"
+    self.set_node_value("robot_pick_beaker_id", pick_beaker_id)
+    while not self.get_node_value(pick_complete_node):
+        time.sleep(1.0)
+
+    # ③ 阶段二：下发"放到哪个工站"编号 + 等"放完成"
+    place_complete_node = f"robot_place_station_{place_station_id}_complete"
+    self._reset_station_process_flags(place_station_id)
+    self.set_node_value("robot_place_station_id", place_station_id)
+    while not self.get_node_value(place_complete_node):
+        time.sleep(1.0)
+```
+
+要点：
+- **同一个动作的多个目标用"编号变量 + 编号对应的完成信号"实现**，不要每个目标都开一个开始位。
+- **配合 Python 端 `threading.Lock()` 做软互锁**，避免多个线程争抢机器人。
+- **每个阶段有独立的完成信号**，串行等待，不能合并。
+
+### 4.3 一些容易踩坑的细节
+
+1. **节点名映射**
+   `set_node_value("alarm_reset", True)` 实际写入的是 CSV 中文名 `报警复位`，
+   `get_node_value` 同理。**业务代码全部用 EnglishName**，不要直接用中文。
+
+2. **PLC 数组索引和 PC 不一致**
+   AI4M 里 PC 暴露 `station_id ∈ {1, 2, 3}`，但 PLC 内部数组是 `C[0..2]`，
+   驱动里要做 `station_idx = station_id - 1`，**这种映射只在驱动层做一次**，
+   不要让上层（registry / 实验记录本）感知。
+
+3. **订阅模式下 BOOL 节点的边沿同步**
+   订阅有 ~500ms 延迟。如果你刚 `set_node_value(x, True)` 就立刻 `get_node_value(x)`，
+   读到的可能还是 `False`（订阅还没推回来）。
+   解决方案：**写完后用 `force_read=True` 透传一次** 或加一段 `time.sleep`。
+
+4. **永远不要忘记复位**
+   `start` 拉 True 后必须有地方拉回 False，否则下一轮 PLC 上升沿不触发。
+   AI4M 在 `_reset_station_process_flags` 中统一做：
+
+   ```python
+   def _reset_station_process_flags(self, station_id: int) -> None:
+       self.set_node_value(f"station_{station_id}_process_complete", False)
+       self.set_node_value(f"station_{station_id}_start", False)
+       self.set_node_value(f"station_{station_id}_params_received", False)
+   ```
+
+5. **耗时长的等待 sleep 加大**
+   工艺等待用 `time.sleep(5.0)`，机器人等待用 `time.sleep(1.0)`，初始化等待 `time.sleep(1.0)`，
+   不要全部用 0.1s 轮询，会把日志刷爆。
+
+---
+
+## 5. 把驱动接到 Uni-Lab：Registry + Graph
+
+### 5.1 Registry YAML（动作 schema）
+
+文件：`unilabos/registry/devices/AI4M_station.yaml`
+
+```yaml
+AI4M_station:
+  category: [AI4M_station]
+  class:
+    module: unilabos.devices.workstation.AI4M.AI4M:AI4MDevice    # ← 入口类
+    type: python
+    action_value_mappings:
+      auto-trigger_init:
+        schema:
+          description: 设备初始化...
+          properties:
+            goal:    { properties: {}, required: [], type: object }
+            result:
+              properties: { message: { type: string } }
+              required: [message]
+              type: object
+          type: object
+        type: UniLabJsonCommand
+
+      auto-trigger_station_process:
+        always_free: true
+        schema:
+          description: 执行检测工艺流程
+          properties:
+            goal:
+              properties:
+                station_id:                   { type: integer, description: 检测编号 1-3 }
+                mag_stir_stir_speed:          { type: integer }
+                mag_stir_heat_temp:           { type: integer }
+                mag_stir_time_set:            { type: integer }
+                syringe_pump_abs_position_set:{ type: integer }
+              required: [station_id, mag_stir_stir_speed, mag_stir_heat_temp,
+                         mag_stir_time_set, syringe_pump_abs_position_set]
+              type: object
+            result: { ... }
+        type: UniLabJsonCommand
+
+  init_param_schema:
+    config:
+      type: object
+      required: [url]
+      properties:
+        url:                   { type: string,  description: OPC UA 服务器地址 }
+        csv_path:              { type: string,  description: 节点配置 CSV 路径 }
+        deck:                  { type: string,  description: 资源树配置 }
+        username:              { type: string }
+        password:              { type: string }
+        use_subscription:      { type: boolean, default: true }
+        cache_timeout:         { type: number,  default: 5.0 }
+        subscription_interval: { type: integer, default: 500 }
+```
+
+规则总结：
+- `class.module` 指向驱动类（`module:ClassName`）。
+- `action_value_mappings` 中的 key 形如 `auto-<方法名>`，对应驱动里的同名 Python 方法。
+- `schema.goal` 自动转成 ROS2 Action 的 goal 消息，`schema.result` 转 result。
+- `init_param_schema.config` 对应 `__init__` 的入参，**所有需要现场改的参数都要列出来**（最重要的就是 `url` 和 `csv_path`）。
+- `always_free: true` 表示该动作不占用工站独占锁（多检测站可并发执行）。
+
+### 5.2 Graph JSON（实例化）
+
+文件：`unilabos/devices/workstation/AI4M/AI4M.json`
+
+```json
+{
+  "nodes": [
+    {
+      "id": "AI4M_station",
+      "name": "AI4M_station",
+      "type": "device",
+      "class": "AI4M_station",
+      "children": ["AI4M_deck"],
+      "parent": null,
+      "config": {
+        "url": "opc.tcp://192.168.1.10:4840",
+        "csv_path": "opcua_nodes_AI4M.csv",
+        "deck": {
+          "data": {
+            "_resource_child_name": "AI4M_deck",
+            "_resource_type": "unilabos.devices.workstation.AI4M.decks:AI4M_deck"
+          }
+        }
+      }
+    },
+    {
+      "id": "AI4M_deck",
+      "type": "deck",
+      "class": "AI4M_deck",
+      "parent": "AI4M_station",
+      "config": { "type": "AI4M_deck" }
+    }
+  ]
+}
+```
+
+要点：
+- `class` 必须和 Registry YAML 的顶层 key 完全一致（`AI4M_station`）。
+- `config` 字段**逐字传给驱动 `__init__`**，所以 Graph JSON = "现场参数表"。
+- 多套相同设备时拷贝一份，把 `id` / `url` 改掉即可（参考 `AI4M002_station`）。
+
+### 5.3 启动命令（来自 `start.md`）
+
+```cmd
+# 真机
+python unilabos/app/main.py -g unilabos/devices/workstation/AI4M/AI4M.json `
+  --ak <ak> --sk <sk> --upload_registry --addr <api_url> --disable_browser
+
+# 仿真（KEPServerEX 跑在本机 49320 端口）
+python unilabos/app/main.py -g unilabos/devices/workstation/AI4M/AI4Msim.json `
+  --ak <ak> --sk <sk> --upload_registry --disable_browser
+```
+
+`--upload_registry` 会把 `AI4M_station.yaml` 的 schema 上传到云端，
+之后实验记录本就能看到所有 `auto-*` 动作。
+
+---
+
+## 6. 调试方法
+
+### 6.1 用 KEPServerEX 仿真 PLC
+
+不带 PLC 的开发机上，可以用 KEPServerEX（或 `python-opcua` 自建 server）模拟。
+AI4M 提供了一份仿真节点表 `opcua_nodes_AI4M_sim.csv`，**只改 NodeId 不改语义**，
+所以驱动代码无需任何改动即可在本机调试。
+
+### 6.2 单独跑驱动（不开 ROS）
+
+在驱动文件末尾的 `if __name__ == '__main__':` 段：
+
+```python
+if __name__ == '__main__':
+    A4 = AI4MDevice(
+        url="opc.tcp://192.168.1.10:4840",
+        csv_path="opcua_nodes_AI4M.csv",
+    )
+    A4.trigger_init()
+    print("初始化完成")
+    A4.trigger_robot_pick_beaker(1, 1)
+```
+
+**新动作上线前一定要在这里裸跑一遍**，确认握手时序正确，再往上接 ROS。
+
+### 6.3 看日志判断卡在哪
+
+`base_opcua_client.py` 的日志已经覆盖了所有关键节点：
+
+```
+✓ 客户端已连接!
+✓ 找到变量节点: 'robot_ready', NodeId: ns=4;s=...
+✓ 已订阅节点: robot_ready
+✓ 节点查找完成：所有 142 个节点均已找到
+```
+
+如果看到 `⚠ 以下 N 个节点未找到`，**99% 是 CSV 里的 NodeId 写错了**，回去对一下 PLC 工程导出的 NodeId。
+
+### 6.4 检查节点是否能直接读写
+
+```python
+# 透传读，绕过订阅缓存
+A4.get_node_value("robot_ready", force_read=True)
+
+# 直接读 JSON 形式（适合从 HTTP/调试面板调）
+A4.read_node("robot_ready")
+
+# 写
+A4.set_node_value("alarm_reset", True)
+A4.write_node('{"node_name": "alarm_reset", "value": false}')
+```
+
+---
+
+## 7. 接入新 PLC 设备的 Checklist
+
+接到一台新工站时，按下面顺序做就能保证不漏：
+
+- [ ] 1. 让 PLC 工程师把上位通讯变量整理到 OPC UA Server，导出 NodeId 清单。
+- [ ] 2. 在 `unilabos/devices/workstation/<设备名>/` 下新建目录，复制 `AI4M/base_opcua_client.py` 不动。
+- [ ] 3. 整理 `opcua_nodes_<设备名>.csv`，6 列填齐，并补上 `EnglishName`。
+- [ ] 4. 在该目录写设备驱动 `<设备名>.py`，继承 `OpcUaClientWithSubscription`：
+  - [ ] `__init__` 调用 `super().__init__` + `self.load_nodes_from_csv(csv_path)`。
+  - [ ] 每个动作函数用范式 A/B/C 写握手协议。
+  - [ ] 每个动作函数都返回 `dict`，至少含 `message` 字段。
+- [ ] 5. 在 `unilabos/registry/devices/` 下新建 `<设备名>_station.yaml`，配置 `init_param_schema` 和 `action_value_mappings`。
+- [ ] 6. 在该目录新建 `<设备名>.json`（Graph），填好 `url` 和 `csv_path`。
+- [ ] 7. 用 `if __name__ == '__main__':` 单独跑驱动确认握手 OK。
+- [ ] 8. 用 `python unilabos/app/main.py -g <Graph> --upload_registry ...` 上线，到实验记录本下发动作回归。
+
+---
+
+## 8. 参考实现速查
+
+| 关注点 | 在 AI4M 中看哪里 |
+|---|---|
+| OPC UA 通信基类 | `base_opcua_client.py` |
+| 节点定义类型系统 | `unilabos/device_comms/opcua_client/node/uniopcua.py` |
+| 节点表 CSV 标准 | `opcua_nodes_AI4M.csv` |
+| 设备驱动入口类 | `AI4M.py: AI4MDevice` |
+| 握手范式 A（脉冲+完成） | `AI4M.py: trigger_init` |
+| 握手范式 B（请求/参数/完成） | `AI4M.py: trigger_station_process` |
+| 握手范式 C（编号+完成） | `AI4M.py: trigger_robot_pick_beaker` |
+| 自动模式批量参数下发 | `AI4M.py: download_auto_params` |
+| Registry schema | `unilabos/registry/devices/AI4M_station.yaml` |
+| Graph 实例化 | `AI4M.json` / `AI4Msim.json` |
+| 启动命令 | `start.md` |

recipes/conda_build_config.yaml

@@ -1,5 +1,5 @@
 channel_sources:
-  - robostack,robostack-staging,conda-forge,defaults
+  - robostack,robostack-staging,conda-forge
   
 gazebo:
   - '11'

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.11.0
+  version: 0.11.3
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.11.0"
+  version: "0.11.3"
 
 source:
   path: ../..

scripts/workflow.py

@@ -2,7 +2,6 @@ import json
 import logging
 import traceback
 import uuid
-import xml.etree.ElementTree as ET
 from typing import Any, Dict, List
 
 import networkx as nx
@@ -25,7 +24,15 @@ class SimpleGraph:
 
     def add_edge(self, source, target, **attrs):
         """添加边"""
-        edge = {"source": source, "target": target, **attrs}
+        # edge = {"source": source, "target": target, **attrs}
+        edge = {
+            "source": source, "target": target,
+            "source_node_uuid": source,
+            "target_node_uuid": target,
+            "source_handle_io": "source",
+            "target_handle_io": "target",
+            **attrs
+        }
         self.edges.append(edge)
 
     def to_dict(self):
@@ -42,6 +49,7 @@ class SimpleGraph:
             "multigraph": False,
             "graph": {},
             "nodes": nodes_list,
+            "edges": self.edges,
             "links": self.edges,
         }
 
@@ -58,495 +66,8 @@ def extract_json_from_markdown(text: str) -> str:
     return text
 
 
-def convert_to_type(val: str) -> Any:
-    """将字符串值转换为适当的数据类型"""
-    if val == "True":
-        return True
-    if val == "False":
-        return False
-    if val == "?":
-        return None
-    if val.endswith(" g"):
-        return float(val.split(" ")[0])
-    if val.endswith("mg"):
-        return float(val.split("mg")[0])
-    elif val.endswith("mmol"):
-        return float(val.split("mmol")[0]) / 1000
-    elif val.endswith("mol"):
-        return float(val.split("mol")[0])
-    elif val.endswith("ml"):
-        return float(val.split("ml")[0])
-    elif val.endswith("RPM"):
-        return float(val.split("RPM")[0])
-    elif val.endswith(" °C"):
-        return float(val.split(" ")[0])
-    elif val.endswith(" %"):
-        return float(val.split(" ")[0])
-    return val
 
 
-def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-    """统一的数据重构函数，根据操作类型自动选择模板"""
-    refactored_data = []
-
-    # 定义操作映射，包含生物实验和有机化学的所有操作
-    OPERATION_MAPPING = {
-        # 生物实验操作
-        "transfer_liquid": "SynBioFactory-liquid_handler.prcxi-transfer_liquid",
-        "transfer": "SynBioFactory-liquid_handler.biomek-transfer",
-        "incubation": "SynBioFactory-liquid_handler.biomek-incubation",
-        "move_labware": "SynBioFactory-liquid_handler.biomek-move_labware",
-        "oscillation": "SynBioFactory-liquid_handler.biomek-oscillation",
-        # 有机化学操作
-        "HeatChillToTemp": "SynBioFactory-workstation-HeatChillProtocol",
-        "StopHeatChill": "SynBioFactory-workstation-HeatChillStopProtocol",
-        "StartHeatChill": "SynBioFactory-workstation-HeatChillStartProtocol",
-        "HeatChill": "SynBioFactory-workstation-HeatChillProtocol",
-        "Dissolve": "SynBioFactory-workstation-DissolveProtocol",
-        "Transfer": "SynBioFactory-workstation-TransferProtocol",
-        "Evaporate": "SynBioFactory-workstation-EvaporateProtocol",
-        "Recrystallize": "SynBioFactory-workstation-RecrystallizeProtocol",
-        "Filter": "SynBioFactory-workstation-FilterProtocol",
-        "Dry": "SynBioFactory-workstation-DryProtocol",
-        "Add": "SynBioFactory-workstation-AddProtocol",
-    }
-
-    UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
-
-    for step in data:
-        operation = step.get("action")
-        if not operation or operation in UNSUPPORTED_OPERATIONS:
-            continue
-
-        # 处理重复操作
-        if operation == "Repeat":
-            times = step.get("times", step.get("parameters", {}).get("times", 1))
-            sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
-            for i in range(int(times)):
-                sub_data = refactor_data(sub_steps)
-                refactored_data.extend(sub_data)
-            continue
-
-        # 获取模板名称
-        template = OPERATION_MAPPING.get(operation)
-        if not template:
-            # 自动推断模板类型
-            if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
-                template = f"SynBioFactory-liquid_handler.biomek-{operation}"
-            else:
-                template = f"SynBioFactory-workstation-{operation}Protocol"
-
-        # 创建步骤数据
-        step_data = {
-            "template": template,
-            "description": step.get("description", step.get("purpose", f"{operation} operation")),
-            "lab_node_type": "Device",
-            "parameters": step.get("parameters", step.get("action_args", {})),
-        }
-        refactored_data.append(step_data)
-
-    return refactored_data
-
-
-def build_protocol_graph(
-    labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
-) -> SimpleGraph:
-    """统一的协议图构建函数，根据设备类型自动选择构建逻辑"""
-    G = SimpleGraph()
-    resource_last_writer = {}
-    LAB_NAME = "SynBioFactory"
-
-    protocol_steps = refactor_data(protocol_steps)
-
-    # 检查协议步骤中的模板来判断协议类型
-    has_biomek_template = any(
-        ("biomek" in step.get("template", "")) or ("prcxi" in step.get("template", ""))
-        for step in protocol_steps
-    )
-
-    if has_biomek_template:
-        # 生物实验协议图构建
-        for labware_id, labware in labware_info.items():
-            node_id = str(uuid.uuid4())
-
-            labware_attrs = labware.copy()
-            labware_id = labware_attrs.pop("id", labware_attrs.get("name", f"labware_{uuid.uuid4()}"))
-            labware_attrs["description"] = labware_id
-            labware_attrs["lab_node_type"] = (
-                "Reagent" if "Plate" in str(labware_id) else "Labware" if "Rack" in str(labware_id) else "Sample"
-            )
-            labware_attrs["device_id"] = workstation_name
-
-            G.add_node(node_id, template=f"{LAB_NAME}-host_node-create_resource", **labware_attrs)
-            resource_last_writer[labware_id] = f"{node_id}:labware"
-
-        # 处理协议步骤
-        prev_node = None
-        for i, step in enumerate(protocol_steps):
-            node_id = str(uuid.uuid4())
-            G.add_node(node_id, **step)
-
-            # 添加控制流边
-            if prev_node is not None:
-                G.add_edge(prev_node, node_id, source_port="ready", target_port="ready")
-            prev_node = node_id
-
-            # 处理物料流
-            params = step.get("parameters", {})
-            if "sources" in params and params["sources"] in resource_last_writer:
-                source_node, source_port = resource_last_writer[params["sources"]].split(":")
-                G.add_edge(source_node, node_id, source_port=source_port, target_port="labware")
-
-            if "targets" in params:
-                resource_last_writer[params["targets"]] = f"{node_id}:labware"
-
-        # 添加协议结束节点
-        end_id = str(uuid.uuid4())
-        G.add_node(end_id, template=f"{LAB_NAME}-liquid_handler.biomek-run_protocol")
-        if prev_node is not None:
-            G.add_edge(prev_node, end_id, source_port="ready", target_port="ready")
-
-    else:
-        # 有机化学协议图构建
-        WORKSTATION_ID = workstation_name
-
-        # 为所有labware创建资源节点
-        for item_id, item in labware_info.items():
-            # item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
-            node_id = str(uuid.uuid4())
-
-            # 判断节点类型
-            if item.get("type") == "hardware" or "reactor" in str(item_id).lower():
-                if "reactor" not in str(item_id).lower():
-                    continue
-                lab_node_type = "Sample"
-                description = f"Prepare Reactor: {item_id}"
-                liquid_type = []
-                liquid_volume = []
-            else:
-                lab_node_type = "Reagent"
-                description = f"Add Reagent to Flask: {item_id}"
-                liquid_type = [item_id]
-                liquid_volume = [1e5]
-
-            G.add_node(
-                node_id,
-                template=f"{LAB_NAME}-host_node-create_resource",
-                description=description,
-                lab_node_type=lab_node_type,
-                res_id=item_id,
-                device_id=WORKSTATION_ID,
-                class_name="container",
-                parent=WORKSTATION_ID,
-                bind_locations={"x": 0.0, "y": 0.0, "z": 0.0},
-                liquid_input_slot=[-1],
-                liquid_type=liquid_type,
-                liquid_volume=liquid_volume,
-                slot_on_deck="",
-                role=item.get("role", ""),
-            )
-            resource_last_writer[item_id] = f"{node_id}:labware"
-
-        last_control_node_id = None
-
-        # 处理协议步骤
-        for step in protocol_steps:
-            node_id = str(uuid.uuid4())
-            G.add_node(node_id, **step)
-
-            # 控制流
-            if last_control_node_id is not None:
-                G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
-            last_control_node_id = node_id
-
-            # 物料流
-            params = step.get("parameters", {})
-            input_resources = {
-                "Vessel": params.get("vessel"),
-                "ToVessel": params.get("to_vessel"),
-                "FromVessel": params.get("from_vessel"),
-                "reagent": params.get("reagent"),
-                "solvent": params.get("solvent"),
-                "compound": params.get("compound"),
-                "sources": params.get("sources"),
-                "targets": params.get("targets"),
-            }
-
-            for target_port, resource_name in input_resources.items():
-                if resource_name and resource_name in resource_last_writer:
-                    source_node, source_port = resource_last_writer[resource_name].split(":")
-                    G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
-
-            output_resources = {
-                "VesselOut": params.get("vessel"),
-                "FromVesselOut": params.get("from_vessel"),
-                "ToVesselOut": params.get("to_vessel"),
-                "FiltrateOut": params.get("filtrate_vessel"),
-                "reagent": params.get("reagent"),
-                "solvent": params.get("solvent"),
-                "compound": params.get("compound"),
-                "sources_out": params.get("sources"),
-                "targets_out": params.get("targets"),
-            }
-
-            for source_port, resource_name in output_resources.items():
-                if resource_name:
-                    resource_last_writer[resource_name] = f"{node_id}:{source_port}"
-
-    return G
-
-
-def draw_protocol_graph(protocol_graph: SimpleGraph, output_path: str):
-    """
-    (辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图，用于可视化。
-    """
-    if not protocol_graph:
-        print("Cannot draw graph: Graph object is empty.")
-        return
-
-    G = nx.DiGraph()
-
-    for node_id, attrs in protocol_graph.nodes.items():
-        label = attrs.get("description", attrs.get("template", node_id[:8]))
-        G.add_node(node_id, label=label, **attrs)
-
-    for edge in protocol_graph.edges:
-        G.add_edge(edge["source"], edge["target"])
-
-    plt.figure(figsize=(20, 15))
-    try:
-        pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
-    except Exception:
-        pos = nx.shell_layout(G)  # Fallback layout
-
-    node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
-    nx.draw(
-        G,
-        pos,
-        with_labels=False,
-        node_size=2500,
-        node_color="skyblue",
-        node_shape="o",
-        edge_color="gray",
-        width=1.5,
-        arrowsize=15,
-    )
-    nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
-
-    plt.title("Chemical Protocol Workflow Graph", size=15)
-    plt.savefig(output_path, dpi=300, bbox_inches="tight")
-    plt.close()
-    print(f"  - Visualization saved to '{output_path}'")
-
-
-from networkx.drawing.nx_agraph import to_agraph
-import re
-
-COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
-
-def _is_compass(port: str) -> bool:
-    return isinstance(port, str) and port.lower() in COMPASS
-
-def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
-    """
-    使用 Graphviz 端口语法绘制协议工作流图。
-    - 若边上的 source_port/target_port 是 compass（n/e/s/w/...），直接用 compass。
-    - 否则自动为节点创建 record 形状并定义命名端口 <portname>。
-    最终由 PyGraphviz 渲染并输出到 output_path（后缀决定格式，如 .png/.svg/.pdf）。
-    """
-    if not protocol_graph:
-        print("Cannot draw graph: Graph object is empty.")
-        return
-
-    # 1) 先用 networkx 搭建有向图，保留端口属性
-    G = nx.DiGraph()
-    for node_id, attrs in protocol_graph.nodes.items():
-        label = attrs.get("description", attrs.get("template", node_id[:8]))
-        # 保留一个干净的“中心标签”，用于放在 record 的中间槽
-        G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
-
-    edges_data = []
-    in_ports_by_node  = {}  # 收集命名输入端口
-    out_ports_by_node = {}  # 收集命名输出端口
-
-    for edge in protocol_graph.edges:
-        u = edge["source"]
-        v = edge["target"]
-        sp = edge.get("source_port")
-        tp = edge.get("target_port")
-
-        # 记录到图里（保留原始端口信息）
-        G.add_edge(u, v, source_port=sp, target_port=tp)
-        edges_data.append((u, v, sp, tp))
-
-        # 如果不是 compass，就按“命名端口”先归类，等会儿给节点造 record
-        if sp and not _is_compass(sp):
-            out_ports_by_node.setdefault(u, set()).add(str(sp))
-        if tp and not _is_compass(tp):
-            in_ports_by_node.setdefault(v, set()).add(str(tp))
-
-    # 2) 转为 AGraph，使用 Graphviz 渲染
-    A = to_agraph(G)
-    A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
-    A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
-    A.edge_attr.update(arrowsize="0.8", color="#666666")
-
-    # 3) 为需要命名端口的节点设置 record 形状与 label
-    #    左列 = 输入端口；中间 = 核心标签；右列 = 输出端口
-    for n in A.nodes():
-        node = A.get_node(n)
-        core = G.nodes[n].get("_core_label", n)
-
-        in_ports  = sorted(in_ports_by_node.get(n, []))
-        out_ports = sorted(out_ports_by_node.get(n, []))
-
-        # 如果该节点涉及命名端口，则用 record；否则保留原 box
-        if in_ports or out_ports:
-            def port_fields(ports):
-                if not ports:
-                    return " "  # 必须留一个空槽占位
-                # 每个端口一个小格子，<p> name
-                return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
-
-            left  = port_fields(in_ports)
-            right = port_fields(out_ports)
-
-            # 三栏：左(入) | 中(节点名) | 右(出)
-            record_label = f"{{ {left} | {core} | {right} }}"
-            node.attr.update(shape="record", label=record_label)
-        else:
-            # 没有命名端口：普通盒子，显示核心标签
-            node.attr.update(label=str(core))
-
-    # 4) 给边设置 headport / tailport
-    #    - 若端口为 compass：直接用 compass（e.g., headport="e"）
-    #    - 若端口为命名端口：使用在 record 中定义的 <port> 名（同名即可）
-    for (u, v, sp, tp) in edges_data:
-        e = A.get_edge(u, v)
-
-        # Graphviz 属性：tail 是源，head 是目标
-        if sp:
-            if _is_compass(sp):
-                e.attr["tailport"] = sp.lower()
-            else:
-                # 与 record label 中 <port> 名一致；特殊字符已在 label 中做了清洗
-                e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
-
-        if tp:
-            if _is_compass(tp):
-                e.attr["headport"] = tp.lower()
-            else:
-                e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
-
-        # 可选：若想让边更贴边缘，可设置 constraint/spline 等
-        # e.attr["arrowhead"] = "vee"
-
-    # 5) 输出
-    A.draw(output_path, prog="dot")
-    print(f"  - Port-aware workflow rendered to '{output_path}'")
-
-
-def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
-    """展平嵌套的XDL程序结构"""
-    flattened_operations = []
-    TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
-
-    def extract_operations(element: ET.Element):
-        if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
-            if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
-                flattened_operations.append(element)
-
-        for child in element:
-            extract_operations(child)
-
-    for child in procedure_elem:
-        extract_operations(child)
-
-    return flattened_operations
-
-
-def parse_xdl_content(xdl_content: str) -> tuple:
-    """解析XDL内容"""
-    try:
-        xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
-        root = ET.fromstring(xdl_content_cleaned)
-
-        synthesis_elem = root.find("Synthesis")
-        if synthesis_elem is None:
-            return None, None, None
-
-        # 解析硬件组件
-        hardware_elem = synthesis_elem.find("Hardware")
-        hardware = []
-        if hardware_elem is not None:
-            hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
-
-        # 解析试剂
-        reagents_elem = synthesis_elem.find("Reagents")
-        reagents = []
-        if reagents_elem is not None:
-            reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
-
-        # 解析程序
-        procedure_elem = synthesis_elem.find("Procedure")
-        if procedure_elem is None:
-            return None, None, None
-
-        flattened_operations = flatten_xdl_procedure(procedure_elem)
-        return hardware, reagents, flattened_operations
-
-    except ET.ParseError as e:
-        raise ValueError(f"Invalid XDL format: {e}")
-
-
-def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
-    """
-    将XDL XML格式转换为标准的字典格式
-
-    Args:
-        xdl_content: XDL XML内容
-
-    Returns:
-        转换结果，包含步骤和器材信息
-    """
-    try:
-        hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
-        if hardware is None:
-            return {"error": "Failed to parse XDL content", "success": False}
-
-        # 将XDL元素转换为字典格式
-        steps_data = []
-        for elem in flattened_operations:
-            # 转换参数类型
-            parameters = {}
-            for key, val in elem.attrib.items():
-                converted_val = convert_to_type(val)
-                if converted_val is not None:
-                    parameters[key] = converted_val
-
-            step_dict = {
-                "operation": elem.tag,
-                "parameters": parameters,
-                "description": elem.get("purpose", f"Operation: {elem.tag}"),
-            }
-            steps_data.append(step_dict)
-
-        # 合并硬件和试剂为统一的labware_info格式
-        labware_data = []
-        labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
-        labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
-
-        return {
-            "success": True,
-            "steps": steps_data,
-            "labware": labware_data,
-            "message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
-        }
-
-    except Exception as e:
-        error_msg = f"XDL conversion failed: {str(e)}"
-        logger.error(error_msg)
-        return {"error": error_msg, "success": False}
 
 
 def create_workflow(

setup.py

@@ -4,7 +4,7 @@ package_name = 'unilabos'
 
 setup(
     name=package_name,
-    version='0.11.0',
+    version='0.11.3',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.11.0"
+__version__ = "0.11.3"

unilabos/app/main.py

@@ -12,6 +12,15 @@ from typing import Dict, Any, List
 import networkx as nx
 import yaml
 
+# Windows 中文系统 stdout 默认 GBK，无法编码 banner / emoji 日志中的 Unicode 字符
+# 强制 stdout/stderr 用 UTF-8，避免 print 触发 UnicodeEncodeError 导致进程崩溃
+if sys.platform == "win32":
+    for _stream in (sys.stdout, sys.stderr):
+        try:
+            _stream.reconfigure(encoding="utf-8", errors="replace")  # type: ignore[attr-defined]
+        except (AttributeError, OSError):
+            pass
+
 # 首先添加项目根目录到路径
 current_dir = os.path.dirname(os.path.abspath(__file__))
 unilabos_dir = os.path.dirname(os.path.dirname(current_dir))

unilabos/app/model.py

@@ -59,6 +59,7 @@ class JobAddReq(BaseModel):
     task_id: str = Field(examples=["task_id"], description="task uuid (auto-generated if empty)", default="")
     job_id: str = Field(examples=["job_id"], description="goal uuid (auto-generated if empty)", default="")
     node_id: str = Field(examples=["node_id"], description="node uuid", default="")
+    notebook_id: str = Field(examples=["notebook_id"], description="notebook uuid", default="")
     server_info: dict = Field(
         examples=[{"send_timestamp": 1717000000.0}],
         description="server info (auto-generated if empty)",

unilabos/app/utils.py

@@ -10,29 +10,170 @@ import shutil
 import sys
 
 
+_PATCH_MARKER = "# UniLabOS DLL Patch"
+_PATCH_END_MARKER = "# End UniLabOS DLL Patch"
+
+# 75 = EX_TEMPFAIL: 临时失败、重试即可，避免与业务退出码冲突
+_RESTART_EXIT_CODE = 75
+
+
+def _build_dll_patch(lib_bin: str, preload_pyd: str = "") -> str:
+    """生成一段加在目标文件顶部的 DLL 加载补丁源码。
+
+    - 始终把 ``lib_bin`` 加入 DLL 搜索路径，并把 handle 挂在模块属性上，
+      防止 GC 清掉搜索路径（``os.add_dll_directory`` 的句柄被回收时
+      目录会被移除）。
+    - 可选地用 ``ctypes.CDLL`` 预加载一个 .pyd，把它的依赖 DLL 提前装入
+      进程内存，作为 ``rclpy._rclpy_pybind11`` 这类首次加载点的兜底。
+    """
+    # 用 repr() 序列化路径：Python 解析 repr 的结果会还原成原始字符串，
+    # 不需要也不能再叠加 raw-string 前缀（叠了反而会让 \\ 变成两个反斜杠）。
+    lines = [
+        _PATCH_MARKER,
+        "import os as _ulab_os",
+        f"_ulab_p = {lib_bin!r}",
+        'if hasattr(_ulab_os, "add_dll_directory") and _ulab_os.path.isdir(_ulab_p):',
+        "    try: _UNILAB_DLL_HANDLE = _ulab_os.add_dll_directory(_ulab_p)",
+        "    except Exception: _UNILAB_DLL_HANDLE = None",
+    ]
+    if preload_pyd:
+        lines.extend(
+            [
+                "import ctypes as _ulab_ctypes",
+                f"try: _ulab_ctypes.CDLL({preload_pyd!r})",
+                "except Exception: pass",
+            ]
+        )
+    lines.append(_PATCH_END_MARKER)
+    return "\n".join(lines) + "\n"
+
+
+def _apply_dll_patch(file_path: str, lib_bin: str, preload_pyd: str = "") -> bool:
+    """把 DLL 补丁前置到 ``file_path``。文件不存在或已打过补丁则返回 False。"""
+    if not os.path.isfile(file_path):
+        return False
+    with open(file_path, "r", encoding="utf-8") as f:
+        content = f.read()
+    if _PATCH_MARKER in content:
+        return False
+    shutil.copy2(file_path, file_path + ".bak")
+    with open(file_path, "w", encoding="utf-8") as f:
+        f.write(_build_dll_patch(lib_bin, preload_pyd) + content)
+    return True
+
+
+def _print_restart_banner(patched_files):
+    """打印重启提示并以 EX_TEMPFAIL 退出。
+
+    - 不使用 ANSI 颜色码：Windows 旧版 cmd / PowerShell 5 默认不开 VT 处理，
+      会把 ``\\033[1;33m`` 当做字面字符显示，反而让用户看不到正文。
+    - 同时写入 stderr 与 stdout：某些上层 launcher / supervisor 只重定向
+      其中一路，写两遍能保证用户至少看到一份。
+    - 写入前防御性把流切到 UTF-8 with replace：``main.py`` 里已经做过一次，
+      但本模块也可能被绕过 ``main.py`` 的代码路径直接 import；reconfigure
+      失败也只是退回 errors=replace，不影响整体流程。
+    """
+    if sys.platform == "win32":
+        for _stream in (sys.stdout, sys.stderr):
+            try:
+                _stream.reconfigure(encoding="utf-8", errors="replace")  # type: ignore[attr-defined]
+            except (AttributeError, OSError):
+                pass
+
+    bar = "#" * 78
+    files_lines = [f"[UniLabOS]   - {p}" for p in patched_files]
+    body = "\n".join(
+        [
+            "",
+            bar,
+            bar,
+            "##",
+            "##  [UniLabOS] Windows + conda 下检测到 DLL 加载失败，已自动打补丁。",
+            "##  [UniLabOS] DLL load failure detected on Windows + conda;",
+            "##  [UniLabOS] the following files have been auto-patched:",
+            "##",
+            *[f"##  {line}" for line in files_lines],
+            "##",
+            "##  [UniLabOS] 当前进程的 rclpy 状态已损坏，补丁需要在新进程才生效。",
+            "##  [UniLabOS] The current process is unusable; the patch only takes",
+            "##  [UniLabOS] effect on a fresh process.",
+            "##",
+            "##  >>> 请重新运行刚才的命令 / Please re-run the same command. <<<",
+            "##",
+            bar,
+            bar,
+            "",
+        ]
+    )
+
+    for stream in (sys.stderr, sys.stdout):
+        try:
+            stream.write(body)
+            stream.flush()
+        except Exception:
+            try:
+                print(body, file=stream)
+            except Exception:
+                pass
+
+    sys.exit(_RESTART_EXIT_CODE)
+
+
 def patch_rclpy_dll_windows():
-    """在 Windows + conda 环境下为 rclpy 打 DLL 加载补丁"""
+    """在 Windows + conda 环境下修复 rclpy / rosidl typesupport 的 DLL 加载。
+
+    背景：conda 安装的 ros 系列包，其原生扩展依赖 ``$CONDA_PREFIX/Library/bin``
+    下的 DLL；只有 conda 环境被正确激活、且 PATH 中含 ``Library/bin`` 时，
+    ``os.add_dll_directory`` 才能找到它们。当从快捷方式 / IDE / 子进程 /
+    没激活的 shell 启动 ``unilab`` 时，会出现 ``DLL load failed``。
+
+    本函数会:
+        1) 修补 ``rclpy/impl/implementation_singleton.py`` —— rclpy 自身的 C 扩展入口；
+        2) 修补 ``rpyutils/add_dll_directories.py`` —— 所有 ``*_s__rosidl_typesupport_c.pyd``
+           （``geometry_msgs`` / ``std_msgs`` / ``sensor_msgs`` 等）的统一加载入口。
+
+    打完补丁后**必须重启进程**才能生效（当前进程的 rclpy 已经发生过
+    ``ImportError``，子模块仍处于损坏状态）。因此函数会主动退出，并在
+    stdout/stderr 同时打印明显的重启提示，避免用户被后续报错淹没。
+    """
     if sys.platform != "win32" or not os.environ.get("CONDA_PREFIX"):
         return
+
     try:
-        import rclpy
+        import rclpy  # noqa: F401
 
         return
     except ImportError as e:
         if not str(e).startswith("DLL load failed"):
             return
+
     cp = os.environ["CONDA_PREFIX"]
-    impl = os.path.join(cp, "Lib", "site-packages", "rclpy", "impl", "implementation_singleton.py")
+    lib_bin = os.path.join(cp, "Library", "bin")
-    pyd = glob.glob(os.path.join(cp, "Lib", "site-packages", "rclpy", "_rclpy_pybind11*.pyd"))
+    site_packages = os.path.join(cp, "Lib", "site-packages")
-    if not os.path.exists(impl) or not pyd:
+    if not os.path.isdir(lib_bin):
         return
-    with open(impl, "r", encoding="utf-8") as f:
+
-        content = f.read()
+    patched = []
-    lib_bin = os.path.join(cp, "Library", "bin").replace("\\", "/")
+
-    patch = f'# UniLabOS DLL Patch\nimport os,ctypes\nos.add_dll_directory("{lib_bin}") if hasattr(os,"add_dll_directory") else None\ntry: ctypes.CDLL("{pyd[0].replace(chr(92),"/")}")\nexcept: pass\n# End Patch\n'
+    # 1) rclpy 自身的入口
-    shutil.copy2(impl, impl + ".bak")
+    rclpy_impl = os.path.join(site_packages, "rclpy", "impl", "implementation_singleton.py")
-    with open(impl, "w", encoding="utf-8") as f:
+    rclpy_pyd_matches = glob.glob(os.path.join(site_packages, "rclpy", "_rclpy_pybind11*.pyd"))
-        f.write(patch + content)
+    rclpy_pyd = rclpy_pyd_matches[0] if rclpy_pyd_matches else ""
+    if rclpy_pyd and _apply_dll_patch(rclpy_impl, lib_bin, preload_pyd=rclpy_pyd):
+        patched.append(rclpy_impl)
+
+    # 2) rpyutils —— 所有 rosidl typesupport pyd 的加载点；放在 rclpy 之后
+    #    例：geometry_msgs/geometry_msgs_s__rosidl_typesupport_c.pyd
+    rpyutils_dll = os.path.join(site_packages, "rpyutils", "add_dll_directories.py")
+    if _apply_dll_patch(rpyutils_dll, lib_bin):
+        patched.append(rpyutils_dll)
+
+    if not patched:
+        # 已经打过补丁但 rclpy 仍然加载失败：原因不是缺 DLL 搜索路径，
+        # 不要再次打补丁污染文件，让上层看到真实的 ImportError。
+        return
+
+    _print_restart_banner(patched)
 
 
 patch_rclpy_dll_windows()

unilabos/app/web/controller.py

@@ -320,6 +320,7 @@ def job_add(req: JobAddReq) -> JobData:
             action_name=action_name,
             task_id=task_id,
             job_id=job_id,
+            notebook_id=req.notebook_id,
             device_action_key=device_action_key,
         )
 

unilabos/app/ws_client.py

@@ -59,6 +59,7 @@ class QueueItem:
     action_name: str
     task_id: str
     job_id: str
+    notebook_id: str
     device_action_key: str
     next_run_time: float = 0  # 下次执行时间戳
     retry_count: int = 0  # 重试次数
@@ -71,6 +72,7 @@ class JobInfo:
     job_id: str
     task_id: str
     device_id: str
+    notebook_id: str
     action_name: str
     device_action_key: str
     status: JobStatus
@@ -539,7 +541,10 @@ class MessageProcessor:
                 self.reconnect_count += 1
                 backoff = WSConfig.reconnect_interval
                 logger.info(
-                    f"[MessageProcessor] 即将在 {backoff} 秒后重连 (已尝试 {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
+                    "[MessageProcessor] 即将在 %s 秒后重连 (已尝试 %s/%s)",
+                    backoff,
+                    self.reconnect_count,
+                    WSConfig.max_reconnect_attempts,
                 )
                 await asyncio.sleep(backoff)
             else:
@@ -703,6 +708,7 @@ class MessageProcessor:
         action_name = data.get("action_name", "")
         task_id = data.get("task_id", "")
         job_id = data.get("job_id", "")
+        notebook_id = data.get("notebook_id", "")
 
         if not all([device_id, action_name, task_id, job_id]):
             logger.error("[MessageProcessor] Missing required fields in query_action_state")
@@ -718,6 +724,7 @@ class MessageProcessor:
             job_id=job_id,
             task_id=task_id,
             device_id=device_id,
+            notebook_id=notebook_id,
             action_name=action_name,
             device_action_key=device_action_key,
             status=JobStatus.QUEUE,
@@ -732,13 +739,27 @@ class MessageProcessor:
         if can_start_immediately:
             # 可以立即开始
             await self._send_action_state_response(
-                device_id, action_name, task_id, job_id, "query_action_status", True, 0
+                device_id,
+                action_name,
+                task_id,
+                job_id,
+                "query_action_status",
+                True,
+                0,
+                notebook_id=notebook_id,
             )
             logger.trace(f"[MessageProcessor] Job {job_log} can start immediately")
         else:
             # 需要排队
             await self._send_action_state_response(
-                device_id, action_name, task_id, job_id, "query_action_status", False, 10
+                device_id,
+                action_name,
+                task_id,
+                job_id,
+                "query_action_status",
+                False,
+                10,
+                notebook_id=notebook_id,
             )
             logger.trace(f"[MessageProcessor] Job {job_log} queued")
 
@@ -768,6 +789,7 @@ class MessageProcessor:
                         job_id=req.job_id,
                         task_id=req.task_id,
                         device_id=req.device_id,
+                        notebook_id=req.notebook_id,
                         action_name=action_name,
                         device_action_key=device_action_key,
                         status=JobStatus.QUEUE,
@@ -775,11 +797,16 @@ class MessageProcessor:
                         always_free=True,
                     )
                     self.device_manager.add_queue_request(job_info)
+                    existing_job = job_info
                     logger.info(f"[MessageProcessor] Job {job_log} always_free, auto-registered from direct job_start")
                 else:
                     logger.error(f"[MessageProcessor] Job {job_log} not registered (missing query_action_state)")
                     return
 
+            if existing_job and req.notebook_id and not existing_job.notebook_id:
+                existing_job.notebook_id = req.notebook_id
+            notebook_id = req.notebook_id or (existing_job.notebook_id if existing_job else "")
+
             success = self.device_manager.start_job(req.job_id)
             if not success:
                 logger.error(f"[MessageProcessor] Failed to start job {job_log}")
@@ -795,6 +822,7 @@ class MessageProcessor:
                 action_name=req.action,
                 task_id=req.task_id,
                 job_id=req.job_id,
+                notebook_id=notebook_id,
                 device_action_key=device_action_key,
             )
 
@@ -834,6 +862,7 @@ class MessageProcessor:
                             "job_id": req.job_id,
                             "task_id": req.task_id,
                             "device_id": req.device_id,
+                            "notebook_id": queue_item.notebook_id,
                             "action_name": req.action,
                             "status": "failed",
                             "feedback_data": {},
@@ -855,6 +884,7 @@ class MessageProcessor:
                             "query_action_status",
                             True,
                             0,
+                            notebook_id=next_job.notebook_id,
                         )
                         next_job_log = format_job_log(
                             next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name
@@ -1004,11 +1034,16 @@ class MessageProcessor:
 
                     success = host_node.notify_resource_tree_update(dev_id, act, item_list)
 
-                    if success:
+                    if success is True:
                         logger.info(
                             f"[MessageProcessor] Resource tree {act} completed for device {dev_id}, "
                             f"items: {len(item_list)}"
                         )
+                    elif success is None:
+                        logger.info(
+                            f"[MessageProcessor] Resource tree {act} skipped for device {dev_id}: "
+                            "在线增加设备暂不支持"
+                        )
                     else:
                         logger.warning(f"[MessageProcessor] Resource tree {act} failed for device {dev_id}")
 
@@ -1032,6 +1067,11 @@ class MessageProcessor:
 
         for item in device_list:
             target_node_id = item.get("target_node_id", "host_node")
+            if action == "add":
+                logger.info(
+                    f"[DeviceManage] 在线增加设备暂不支持，跳过 add_device: {item.get('id', '')}"
+                )
+                continue
 
             def _notify(target_id: str, act: str, cfg: ResourceDictType):
                 try:
@@ -1101,7 +1141,15 @@ class MessageProcessor:
         logger.info(f"[MessageProcessor] Restart cleanup scheduled")
 
     async def _send_action_state_response(
-        self, device_id: str, action_name: str, task_id: str, job_id: str, typ: str, free: bool, need_more: int
+        self,
+        device_id: str,
+        action_name: str,
+        task_id: str,
+        job_id: str,
+        typ: str,
+        free: bool,
+        need_more: int,
+        notebook_id: str = "",
     ):
         """发送动作状态响应"""
         message = {
@@ -1112,6 +1160,7 @@ class MessageProcessor:
                 "action_name": action_name,
                 "task_id": task_id,
                 "job_id": job_id,
+                "notebook_id": notebook_id,
                 "free": free,
                 "need_more": need_more + 1,
             },
@@ -1194,6 +1243,7 @@ class QueueProcessor:
                             action_name=timeout_job.action_name,
                             task_id=timeout_job.task_id,
                             job_id=timeout_job.job_id,
+                            notebook_id=timeout_job.notebook_id,
                             device_action_key=timeout_job.device_action_key,
                         )
                         # 发布超时失败状态，这会触发正常的job完成流程
@@ -1252,6 +1302,7 @@ class QueueProcessor:
                     "action_name": job_info.action_name,
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
+                    "notebook_id": job_info.notebook_id,
                     "free": False,
                     "need_more": 10 + 1,
                 },
@@ -1291,6 +1342,7 @@ class QueueProcessor:
                     "action_name": job_info.action_name,
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
+                    "notebook_id": job_info.notebook_id,
                     "free": False,
                     "need_more": 10 + 1,
                 },
@@ -1336,12 +1388,15 @@ class QueueProcessor:
                     "action_name": next_job.action_name,
                     "task_id": next_job.task_id,
                     "job_id": next_job.job_id,
+                    "notebook_id": next_job.notebook_id,
                     "free": True,
                     "need_more": 0,
                 },
             }
             self.message_processor.send_message(message)
-            # next_job_log = format_job_log(next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name)
+            # next_job_log = format_job_log(
+            #     next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name
+            # )
             # logger.debug(f"[QueueProcessor] Notified next job {next_job_log} can start")
 
             # 立即触发下一轮状态检查
@@ -1510,6 +1565,7 @@ class WebSocketClient(BaseCommunicationClient):
                 "job_id": item.job_id,
                 "task_id": item.task_id,
                 "device_id": item.device_id,
+                "notebook_id": item.notebook_id,
                 "action_name": item.action_name,
                 "status": status,
                 "feedback_data": feedback_data,

unilabos/devices/virtual/virtual_multiway_valve.py

@@ -2,6 +2,8 @@ import time
 import logging
 from typing import Union, Dict, Optional
 
+from unilabos.registry.decorators import topic_config
+
 
 class VirtualMultiwayValve:
     """
@@ -41,13 +43,11 @@ class VirtualMultiwayValve:
     def target_position(self) -> int:
         return self._target_position
 
-    def get_current_position(self) -> int:
+    @property
-        """获取当前阀门位置 📍"""
+    @topic_config()
-        return self._current_position
+    def current_port(self) -> str:
-
+        """当前连接的端口名称 🔌"""
-    def get_current_port(self) -> str:
+        return self.port
-        """获取当前连接的端口名称 🔌"""
-        return self._current_position
 
     def set_position(self, command: Union[int, str]):
         """
@@ -169,12 +169,14 @@ class VirtualMultiwayValve:
         self._status = "Idle"
         self._valve_state = "Closed"
         
-        close_msg = f"🔒 阀门已关闭，保持在位置 {self._current_position} ({self.get_current_port()})"
+        close_msg = f"🔒 阀门已关闭，保持在位置 {self._current_position} ({self.port})"
         self.logger.info(close_msg)
         return close_msg
 
-    def get_valve_position(self) -> int:
+    @property
-        """获取阀门位置 - 兼容性方法 📍"""
+    @topic_config()
+    def valve_position(self) -> int:
+        """阀门位置 📍"""
         return self._current_position
 
     def set_valve_position(self, command: Union[int, str]):
@@ -229,19 +231,16 @@ class VirtualMultiwayValve:
             self.logger.info(f"🔄 从端口 {self._current_position} 切换到泵位置...")
             return self.set_to_pump_position()
 
-    def get_flow_path(self) -> str:
+    @property
-        """获取当前流路路径描述 🌊"""
+    @topic_config()
-        current_port = self.get_current_port()
+    def flow_path(self) -> str:
+        """当前流路路径描述 🌊"""
         if self._current_position == 0:
-            flow_path = f"🚰 转移泵已连接 (位置 {self._current_position})"
+            return f"🚰 转移泵已连接 (位置 {self._current_position})"
-        else:
+        return f"🔌 端口 {self._current_position} 已连接 ({self.current_port})"
-            flow_path = f"🔌 端口 {self._current_position} 已连接 ({current_port})"
-        
-        # 删除debug日志：self.logger.debug(f"🌊 当前流路: {flow_path}")
-        return flow_path
 
     def __str__(self):
-        current_port = self.get_current_port()
+        current_port = self.current_port
         status_emoji = "✅" if self._status == "Idle" else "🔄" if self._status == "Busy" else "❌"
         
         return f"🔄 VirtualMultiwayValve({status_emoji} 位置: {self._current_position}/{self.max_positions}, 端口: {current_port}, 状态: {self._status})"
@@ -253,7 +252,7 @@ if __name__ == "__main__":
     
     print("🔄 === 虚拟九通阀门测试 === ✨")
     print(f"🏠 初始状态: {valve}")
-    print(f"🌊 当前流路: {valve.get_flow_path()}")
+    print(f"🌊 当前流路: {valve.flow_path}")
     
     # 切换到试剂瓶1（1号位）
     print(f"\n🔌 切换到1号位: {valve.set_position(1)}")

unilabos/devices/virtual/virtual_stirrer.py

@@ -3,6 +3,7 @@ import logging
 import time as time_module
 from typing import Dict, Any
 
+from unilabos.registry.decorators import topic_config
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
 
 class VirtualStirrer:
@@ -314,9 +315,11 @@ class VirtualStirrer:
     def min_speed(self) -> float:
         return self._min_speed
     
-    def get_device_info(self) -> Dict[str, Any]:
+    @property
-        """获取设备状态信息 📊"""
+    @topic_config()
-        info = {
+    def device_info(self) -> Dict[str, Any]:
+        """设备状态快照信息 📊"""
+        return {
             "device_id": self.device_id,
             "status": self.status,
             "operation_mode": self.operation_mode,
@@ -325,12 +328,9 @@ class VirtualStirrer:
             "is_stirring": self.is_stirring,
             "remaining_time": self.remaining_time,
             "max_speed": self._max_speed,
-            "min_speed": self._min_speed
+            "min_speed": self._min_speed,
         }
 
-        # self.logger.debug(f"📊 设备信息: 模式={self.operation_mode}, 速度={self.current_speed} RPM, 搅拌={self.is_stirring}")
-        return info
-    
     def __str__(self):
         status_emoji = "✅" if self.operation_mode == "Idle" else "🌪️" if self.operation_mode == "Stirring" else "🛑" if self.operation_mode == "Settling" else "❌"
         return f"🌪️ VirtualStirrer({status_emoji} {self.device_id}: {self.operation_mode}, {self.current_speed} RPM)"

unilabos/devices/virtual/virtual_transferpump.py

@@ -4,6 +4,7 @@ from enum import Enum
 from typing import Union, Optional
 import logging
 
+from unilabos.registry.decorators import topic_config
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
 
 
@@ -385,8 +386,10 @@ class VirtualTransferPump:
         """获取当前体积"""
         return self._current_volume
 
-    def get_remaining_capacity(self) -> float:
+    @property
-        """获取剩余容量"""
+    @topic_config()
+    def remaining_capacity(self) -> float:
+        """剩余容量 (ml)"""
         return self.max_volume - self._current_volume
 
     def is_empty(self) -> bool:

unilabos/devices/virtual/workbench.py

@@ -14,20 +14,30 @@ Virtual Workbench Device - 模拟工作台设备
 
 import logging
 import time
-from typing import Dict, Any, Optional, List
 from dataclasses import dataclass
 from enum import Enum
 from threading import Lock, RLock
+from typing import Any, Dict, List, Optional, cast
 
 from typing_extensions import TypedDict
 
 from unilabos.registry.decorators import (
-    device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action, NodeType
+    ActionInputHandle,
+    ActionOutputHandle,
+    DataSource,
+    NodeType,
+    action,
+    device,
+    not_action,
+    topic_config,
 )
 from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
-from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample, ResourceTreeSet
+from unilabos.resources.resource_tracker import (
-
+    SampleUUIDsType,
+    LabSample,
+    ResourceTreeSet,
+)
 
 # ============ TypedDict 返回类型定义 ============
 
@@ -112,6 +122,7 @@ class HeatingStation:
 
 @device(
     id="virtual_workbench",
+    display_name="虚拟工作台",
     category=["virtual_device"],
     description="Virtual Workbench with 1 robotic arm and 3 heating stations for concurrent material processing",
 )
@@ -137,7 +148,19 @@ class VirtualWorkbench:
     HEATING_TIME: float = 60.0  # 加热时间(秒)
     NUM_HEATING_STATIONS: int = 3  # 加热台数量
 
-    def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
+    def __init__(
+        self,
+        device_id: Optional[str] = None,
+        config: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ):
+        """
+        初始化虚拟工作台。
+
+        Args:
+            device_id[设备ID]: 工作台设备实例 ID，默认使用 virtual_workbench。
+            config[设备配置]: 可包含 arm_operation_time、heating_time、num_heating_stations。
+        """
         # 处理可能的不同调用方式
         if device_id is None and "id" in kwargs:
             device_id = kwargs.pop("id")
@@ -151,9 +174,13 @@ class VirtualWorkbench:
         self.data: Dict[str, Any] = {}
 
         # 从config中获取可配置参数
-        self.ARM_OPERATION_TIME = float(self.config.get("arm_operation_time", self.ARM_OPERATION_TIME))
+        self.ARM_OPERATION_TIME = float(
+            self.config.get("arm_operation_time", self.ARM_OPERATION_TIME)
+        )
         self.HEATING_TIME = float(self.config.get("heating_time", self.HEATING_TIME))
-        self.NUM_HEATING_STATIONS = int(self.config.get("num_heating_stations", self.NUM_HEATING_STATIONS))
+        self.NUM_HEATING_STATIONS = int(
+            self.config.get("num_heating_stations", self.NUM_HEATING_STATIONS)
+        )
 
         # 机械臂状态和锁
         self._arm_lock = Lock()
@@ -162,7 +189,8 @@ class VirtualWorkbench:
 
         # 加热台状态
         self._heating_stations: Dict[int, HeatingStation] = {
-            i: HeatingStation(station_id=i) for i in range(1, self.NUM_HEATING_STATIONS + 1)
+            i: HeatingStation(station_id=i)
+            for i in range(1, self.NUM_HEATING_STATIONS + 1)
         }
         self._stations_lock = RLock()
 
@@ -292,45 +320,113 @@ class VirtualWorkbench:
         self.logger.info(f"机械臂已释放 (完成: {task})")
 
     @action(
-        always_free=True, node_type=NodeType.MANUAL_CONFIRM, placeholder_keys={
+        always_free=True,
-            "assignee_user_ids": "unilabos_manual_confirm"
+        node_type=NodeType.MANUAL_CONFIRM,
-        }, goal_default={
+        placeholder_keys={"assignee_user_ids": "unilabos_manual_confirm"},
-            "timeout_seconds": 3600,
+        goal_default={"timeout_seconds": 3600, "assignee_user_ids": []},
-            "assignee_user_ids": []
+        feedback_interval=300,
-        }, feedback_interval=300,
         handles=[
-            ActionInputHandle(key="target_device", data_type="device_id",
+            ActionInputHandle(
-                              label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
+                key="target_device",
-            ActionInputHandle(key="resource", data_type="resource",
+                data_type="device_id",
-                              label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+                label="目标设备",
-            ActionInputHandle(key="mount_resource", data_type="resource",
+                data_key="target_device",
-                              label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+                data_source=DataSource.HANDLE,
-
+            ),
-            ActionInputHandle(key="collector_mass", data_type="collector_mass",
+            ActionInputHandle(
-                              label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
+                key="resource",
-            ActionInputHandle(key="active_material", data_type="active_material",
+                data_type="resource",
-                              label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
+                label="待转移资源",
-            ActionInputHandle(key="capacity", data_type="capacity",
+                data_key="resource",
-                              label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
+                data_source=DataSource.HANDLE,
-            ActionInputHandle(key="battery_system", data_type="battery_system",
+            ),
-                              label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
+            ActionInputHandle(
+                key="mount_resource",
+                data_type="resource",
+                label="目标孔位",
+                data_key="mount_resource",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="collector_mass",
+                data_type="collector_mass",
+                label="极流体质量",
+                data_key="collector_mass",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="active_material",
+                data_type="active_material",
+                label="活性物质含量",
+                data_key="active_material",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="capacity",
+                data_type="capacity",
+                label="克容量",
+                data_key="capacity",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="battery_system",
+                data_type="battery_system",
+                label="电池体系",
+                data_key="battery_system",
+                data_source=DataSource.HANDLE,
+            ),
             # transfer使用
-            ActionOutputHandle(key="target_device", data_type="device_id",
+            ActionOutputHandle(
-                               label="目标设备", data_key="target_device", data_source=DataSource.EXECUTOR),
+                key="target_device",
-            ActionOutputHandle(key="resource", data_type="resource",
+                data_type="device_id",
-                              label="待转移资源", data_key="resource.@flatten", data_source=DataSource.EXECUTOR),
+                label="目标设备",
-            ActionOutputHandle(key="mount_resource", data_type="resource",
+                data_key="target_device",
-                              label="目标孔位", data_key="mount_resource.@flatten", data_source=DataSource.EXECUTOR),
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="resource",
+                data_type="resource",
+                label="待转移资源",
+                data_key="resource.@flatten",
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="mount_resource",
+                data_type="resource",
+                label="目标孔位",
+                data_key="mount_resource.@flatten",
+                data_source=DataSource.EXECUTOR,
+            ),
             # test使用
-            ActionOutputHandle(key="collector_mass", data_type="collector_mass",
+            ActionOutputHandle(
-                              label="极流体质量", data_key="collector_mass", data_source=DataSource.EXECUTOR),
+                key="collector_mass",
-            ActionOutputHandle(key="active_material", data_type="active_material",
+                data_type="collector_mass",
-                              label="活性物质含量", data_key="active_material", data_source=DataSource.EXECUTOR),
+                label="极流体质量",
-            ActionOutputHandle(key="capacity", data_type="capacity",
+                data_key="collector_mass",
-                              label="克容量", data_key="capacity", data_source=DataSource.EXECUTOR),
+                data_source=DataSource.EXECUTOR,
-            ActionOutputHandle(key="battery_system", data_type="battery_system",
+            ),
-                              label="电池体系", data_key="battery_system", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(
-        ]
+                key="active_material",
+                data_type="active_material",
+                label="活性物质含量",
+                data_key="active_material",
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="capacity",
+                data_type="capacity",
+                label="克容量",
+                data_key="capacity",
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="battery_system",
+                data_type="battery_system",
+                label="电池体系",
+                data_key="battery_system",
+                data_source=DataSource.EXECUTOR,
+            ),
+        ],
     )
     def manual_confirm(
         self,
@@ -343,67 +439,156 @@ class VirtualWorkbench:
         battery_system: List[str],
         timeout_seconds: int,
         assignee_user_ids: list[str],
-        **kwargs
+        **kwargs,
     ) -> dict:
         """
-        timeout_seconds: 超时时间（秒），默认3600秒
+        人工确认资源转移和扣电测试参数。
-        collector_mass: 极流体质量
+
-        active_material: 活性物质含量
+        Args:
-        capacity: 克容量（mAh/g）
+            resource[待转移资源]: 需要人工确认的资源列表。
-        battery_system: 电池体系
+            target_device[目标设备]: 资源要转移到的目标设备 ID。
-        修改的结果无效，是只读的
+            mount_resource[目标孔位]: 资源要挂载到的目标孔位列表。
+            collector_mass[极流体质量]: 每个样品对应的极流体质量。
+            active_material[活性物质含量]: 每个样品对应的活性物质含量。
+            capacity[克容量]: 每个样品对应的克容量，单位 mAh/g。
+            battery_system[电池体系]: 每个样品对应的电池体系名称。
+            timeout_seconds[超时时间]: 人工确认超时时间，单位秒。
+            assignee_user_ids[确认人]: 指定处理人工确认任务的用户 ID 列表。
+
+        Note:
+            修改的结果无效，是只读的。
         """
-        resource = ResourceTreeSet.from_plr_resources(resource).dump()
+        resource_tree = ResourceTreeSet.from_plr_resources(cast(Any, resource)).dump()
-        mount_resource = ResourceTreeSet.from_plr_resources(mount_resource).dump()
+        mount_resource_tree = ResourceTreeSet.from_plr_resources(cast(Any, mount_resource)).dump()
         kwargs.update(locals())
         kwargs.pop("kwargs")
         kwargs.pop("self")
+        kwargs["resource"] = resource_tree
+        kwargs["mount_resource"] = mount_resource_tree
+        kwargs.pop("resource_tree")
+        kwargs.pop("mount_resource_tree")
         return kwargs
 
     @action(
         description="转移物料",
         handles=[
-            ActionInputHandle(key="target_device", data_type="device_id",
+            ActionInputHandle(
-                              label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
+                key="target_device",
-            ActionInputHandle(key="resource", data_type="resource",
+                data_type="device_id",
-                               label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+                label="目标设备",
-            ActionInputHandle(key="mount_resource", data_type="resource",
+                data_key="target_device",
-                               label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+                data_source=DataSource.HANDLE,
-        ]
+            ),
+            ActionInputHandle(
+                key="resource",
+                data_type="resource",
+                label="待转移资源",
+                data_key="resource",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="mount_resource",
+                data_type="resource",
+                label="目标孔位",
+                data_key="mount_resource",
+                data_source=DataSource.HANDLE,
+            ),
+        ],
     )
-    async def transfer(self, resource: List[ResourceSlot], target_device: DeviceSlot, mount_resource: List[ResourceSlot]):
+    async def transfer(
-        future = ROS2DeviceNode.run_async_func(self._ros_node.transfer_resource_to_another, True,
+        self,
+        resource: List[ResourceSlot],
+        target_device: DeviceSlot,
+        mount_resource: List[ResourceSlot],
+    ):
+        """
+        转移资源到目标设备。
+
+        Args:
+            resource[待转移资源]: 待转移的资源列表。
+            target_device[目标设备]: 接收资源的目标设备 ID。
+            mount_resource[目标孔位]: 目标设备上的挂载孔位列表。
+        """
+        future = ROS2DeviceNode.run_async_func(
+            self._ros_node.transfer_resource_to_another,
+            True,
             **{
                 "plr_resources": resource,
                 "target_device_id": target_device,
                 "target_resources": mount_resource,
                 "sites": [None] * len(mount_resource),
-            })
+            },
+        )
         result = await future
         return result
 
-
     @action(
         description="扣电测试启动",
         handles=[
-            ActionInputHandle(key="resource", data_type="resource",
+            ActionInputHandle(
-                              label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+                key="resource",
-            ActionInputHandle(key="mount_resource", data_type="resource",
+                data_type="resource",
-                              label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+                label="待转移资源",
-
+                data_key="resource",
-            ActionInputHandle(key="collector_mass", data_type="collector_mass",
+                data_source=DataSource.HANDLE,
-                              label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
+            ),
-            ActionInputHandle(key="active_material", data_type="active_material",
+            ActionInputHandle(
-                              label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
+                key="mount_resource",
-            ActionInputHandle(key="capacity", data_type="capacity",
+                data_type="resource",
-                              label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
+                label="目标孔位",
-            ActionInputHandle(key="battery_system", data_type="battery_system",
+                data_key="mount_resource",
-                              label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
+                data_source=DataSource.HANDLE,
-        ]
+            ),
+            ActionInputHandle(
+                key="collector_mass",
+                data_type="collector_mass",
+                label="极流体质量",
+                data_key="collector_mass",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="active_material",
+                data_type="active_material",
+                label="活性物质含量",
+                data_key="active_material",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="capacity",
+                data_type="capacity",
+                label="克容量",
+                data_key="capacity",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="battery_system",
+                data_type="battery_system",
+                label="电池体系",
+                data_key="battery_system",
+                data_source=DataSource.HANDLE,
+            ),
+        ],
     )
     async def test(
-        self, resource: List[ResourceSlot], mount_resource: List[ResourceSlot],  collector_mass: List[float], active_material: List[float], capacity: List[float], battery_system: list[str]
+        self,
+        resource: List[ResourceSlot],
+        mount_resource: List[ResourceSlot],
+        collector_mass: List[float],
+        active_material: List[float],
+        capacity: List[float],
+        battery_system: list[str],
     ):
+        """
+        启动扣电测试。
+
+        Args:
+            resource[待测试资源]: 需要进行扣电测试的资源列表。
+            mount_resource[测试孔位]: 扣电测试使用的目标孔位列表。
+            collector_mass[极流体质量]: 每个样品对应的极流体质量。
+            active_material[活性物质含量]: 每个样品对应的活性物质含量。
+            capacity[克容量]: 每个样品对应的克容量，单位 mAh/g。
+            battery_system[电池体系]: 每个样品对应的电池体系名称。
+        """
         print(resource)
         print(mount_resource)
         print(collector_mass)
@@ -415,16 +600,11 @@ class VirtualWorkbench:
         auto_prefix=True,
         description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",
         handles=[
-            ActionOutputHandle(key="channel_1", data_type="workbench_material",
+            ActionOutputHandle(key="channel_1", data_type="workbench_material", label="实验1", data_key="material_1", data_source=DataSource.EXECUTOR),  # noqa: E501
-                         label="实验1", data_key="material_1", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="channel_2", data_type="workbench_material", label="实验2", data_key="material_2", data_source=DataSource.EXECUTOR),  # noqa: E501
-            ActionOutputHandle(key="channel_2", data_type="workbench_material",
+            ActionOutputHandle(key="channel_3", data_type="workbench_material", label="实验3", data_key="material_3", data_source=DataSource.EXECUTOR),  # noqa: E501
-                         label="实验2", data_key="material_2", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="channel_4", data_type="workbench_material", label="实验4", data_key="material_4", data_source=DataSource.EXECUTOR),  # noqa: E501
-            ActionOutputHandle(key="channel_3", data_type="workbench_material",
+            ActionOutputHandle(key="channel_5", data_type="workbench_material", label="实验5", data_key="material_5", data_source=DataSource.EXECUTOR),  # noqa: E501
-                         label="实验3", data_key="material_3", data_source=DataSource.EXECUTOR),
-            ActionOutputHandle(key="channel_4", data_type="workbench_material",
-                         label="实验4", data_key="material_4", data_source=DataSource.EXECUTOR),
-            ActionOutputHandle(key="channel_5", data_type="workbench_material",
-                         label="实验5", data_key="material_5", data_source=DataSource.EXECUTOR),
         ],
     )
     def prepare_materials(
@@ -437,6 +617,9 @@ class VirtualWorkbench:
 
         作为工作流的起始节点, 生成指定数量的物料编号供后续节点使用。
         输出5个handle (material_1 ~ material_5), 分别对应实验1~5。
+
+        Args:
+            count[物料数量]: 要生成的物料数量，默认生成 5 个。
         """
         materials = [i for i in range(1, count + 1)]
 
@@ -457,7 +640,11 @@ class VirtualWorkbench:
                 LabSample(
                     sample_uuid=sample_uuid,
                     oss_path="",
-                    extra={"material_uuid": content} if isinstance(content, str) else (content.serialize() if content else {}),
+                    extra=(
+                        {"material_uuid": content}
+                        if isinstance(content, str)
+                        else (content.serialize() if content else {})
+                    ),
                 )
                 for sample_uuid, content in sample_uuids.items()
             ],
@@ -467,12 +654,27 @@ class VirtualWorkbench:
         auto_prefix=True,
         description="将物料从An位置移动到空闲加热台, 返回分配的加热台ID",
         handles=[
-            ActionInputHandle(key="material_input", data_type="workbench_material",
+            ActionInputHandle(
-                        label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
+                key="material_input",
-            ActionOutputHandle(key="heating_station_output", data_type="workbench_station",
+                data_type="workbench_material",
-                         label="加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
+                label="物料编号",
-            ActionOutputHandle(key="material_number_output", data_type="workbench_material",
+                data_key="material_number",
-                         label="物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
+                data_source=DataSource.HANDLE,
+            ),
+            ActionOutputHandle(
+                key="heating_station_output",
+                data_type="workbench_station",
+                label="加热台ID",
+                data_key="station_id",
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="material_number_output",
+                data_type="workbench_material",
+                label="物料编号",
+                data_key="material_number",
+                data_source=DataSource.EXECUTOR,
+            ),
         ],
     )
     def move_to_heating_station(
@@ -484,6 +686,9 @@ class VirtualWorkbench:
         将物料从An位置移动到加热台
 
         多线程并发调用时, 会竞争机械臂使用权, 并自动查找空闲加热台
+
+        Args:
+            material_number[物料编号]: 要移动的物料编号，对应 A1、A2 等起始位置。
         """
         material_id = f"A{material_number}"
         task_desc = f"移动{material_id}到加热台"
@@ -546,7 +751,8 @@ class VirtualWorkbench:
                         oss_path="",
                         extra=(
                             {"material_uuid": content}
-                            if isinstance(content, str) else (content.serialize() if content else {})
+                            if isinstance(content, str)
+                            else (content.serialize() if content else {})
                         ),
                     )
                     for sample_uuid, content in sample_uuids.items()
@@ -569,7 +775,8 @@ class VirtualWorkbench:
                         oss_path="",
                         extra=(
                             {"material_uuid": content}
-                            if isinstance(content, str) else (content.serialize() if content else {})
+                            if isinstance(content, str)
+                            else (content.serialize() if content else {})
                         ),
                     )
                     for sample_uuid, content in sample_uuids.items()
@@ -581,14 +788,34 @@ class VirtualWorkbench:
         always_free=True,
         description="启动指定加热台的加热程序",
         handles=[
-            ActionInputHandle(key="station_id_input", data_type="workbench_station",
+            ActionInputHandle(
-                        label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
+                key="station_id_input",
-            ActionInputHandle(key="material_number_input", data_type="workbench_material",
+                data_type="workbench_station",
-                        label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
+                label="加热台ID",
-            ActionOutputHandle(key="heating_done_station", data_type="workbench_station",
+                data_key="station_id",
-                         label="加热完成-加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
+                data_source=DataSource.HANDLE,
-            ActionOutputHandle(key="heating_done_material", data_type="workbench_material",
+            ),
-                         label="加热完成-物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
+            ActionInputHandle(
+                key="material_number_input",
+                data_type="workbench_material",
+                label="物料编号",
+                data_key="material_number",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionOutputHandle(
+                key="heating_done_station",
+                data_type="workbench_station",
+                label="加热完成-加热台ID",
+                data_key="station_id",
+                data_source=DataSource.EXECUTOR,
+            ),
+            ActionOutputHandle(
+                key="heating_done_material",
+                data_type="workbench_material",
+                label="加热完成-物料编号",
+                data_key="material_number",
+                data_source=DataSource.EXECUTOR,
+            ),
         ],
     )
     def start_heating(
@@ -599,6 +826,10 @@ class VirtualWorkbench:
     ) -> StartHeatingResult:
         """
         启动指定加热台的加热程序
+
+        Args:
+            station_id[加热台ID]: 要启动加热的加热台编号。
+            material_number[物料编号]: 当前加热台上的物料编号。
         """
         self.logger.info(f"[加热台{station_id}] 开始加热")
 
@@ -615,7 +846,8 @@ class VirtualWorkbench:
                         oss_path="",
                         extra=(
                             {"material_uuid": content}
-                            if isinstance(content, str) else (content.serialize() if content else {})
+                            if isinstance(content, str)
+                            else (content.serialize() if content else {})
                         ),
                     )
                     for sample_uuid, content in sample_uuids.items()
@@ -638,7 +870,8 @@ class VirtualWorkbench:
                             oss_path="",
                             extra=(
                                 {"material_uuid": content}
-                                if isinstance(content, str) else (content.serialize() if content else {})
+                                if isinstance(content, str)
+                                else (content.serialize() if content else {})
                             ),
                         )
                         for sample_uuid, content in sample_uuids.items()
@@ -658,7 +891,8 @@ class VirtualWorkbench:
                             oss_path="",
                             extra=(
                                 {"material_uuid": content}
-                                if isinstance(content, str) else (content.serialize() if content else {})
+                                if isinstance(content, str)
+                                else (content.serialize() if content else {})
                             ),
                         )
                         for sample_uuid, content in sample_uuids.items()
@@ -698,7 +932,9 @@ class VirtualWorkbench:
             self._update_data_status(f"加热台{station_id}加热中: {progress:.1f}%")
 
             if time.time() - last_countdown_log >= 5.0:
-                self.logger.info(f"[加热台{station_id}] {material_id} 剩余 {remaining:.1f}s")
+                self.logger.info(
+                    f"[加热台{station_id}] {material_id} 剩余 {remaining:.1f}s"
+                )
                 last_countdown_log = time.time()
 
             if elapsed >= self.HEATING_TIME:
@@ -715,7 +951,9 @@ class VirtualWorkbench:
                 self._active_tasks[material_id]["status"] = "heating_completed"
 
         self._update_data_status(f"加热台{station_id}加热完成")
-        self.logger.info(f"[加热台{station_id}] {material_id}加热完成 (用时{self.HEATING_TIME}s)")
+        self.logger.info(
+            f"[加热台{station_id}] {material_id}加热完成 (用时{self.HEATING_TIME}s)"
+        )
 
         return {
             "success": True,
@@ -729,7 +967,8 @@ class VirtualWorkbench:
                     oss_path="",
                     extra=(
                         {"material_uuid": content}
-                        if isinstance(content, str) else (content.serialize() if content else {})
+                        if isinstance(content, str)
+                        else (content.serialize() if content else {})
                     ),
                 )
                 for sample_uuid, content in sample_uuids.items()
@@ -740,10 +979,20 @@ class VirtualWorkbench:
         auto_prefix=True,
         description="将物料从加热台移动到输出位置Cn",
         handles=[
-            ActionInputHandle(key="output_station_input", data_type="workbench_station",
+            ActionInputHandle(
-                        label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
+                key="output_station_input",
-            ActionInputHandle(key="output_material_input", data_type="workbench_material",
+                data_type="workbench_station",
-                        label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
+                label="加热台ID",
+                data_key="station_id",
+                data_source=DataSource.HANDLE,
+            ),
+            ActionInputHandle(
+                key="output_material_input",
+                data_type="workbench_material",
+                label="物料编号",
+                data_key="material_number",
+                data_source=DataSource.HANDLE,
+            ),
         ],
     )
     def move_to_output(
@@ -754,6 +1003,10 @@ class VirtualWorkbench:
     ) -> MoveToOutputResult:
         """
         将物料从加热台移动到输出位置Cn
+
+        Args:
+            station_id[加热台ID]: 已完成加热的加热台编号。
+            material_number[物料编号]: 要移动到输出位置的物料编号，对应 Cn。
         """
         output_number = material_number
 
@@ -770,7 +1023,8 @@ class VirtualWorkbench:
                         oss_path="",
                         extra=(
                             {"material_uuid": content}
-                            if isinstance(content, str) else (content.serialize() if content else {})
+                            if isinstance(content, str)
+                            else (content.serialize() if content else {})
                         ),
                     )
                     for sample_uuid, content in sample_uuids.items()
@@ -794,7 +1048,8 @@ class VirtualWorkbench:
                             oss_path="",
                             extra=(
                                 {"material_uuid": content}
-                                if isinstance(content, str) else (content.serialize() if content else {})
+                                if isinstance(content, str)
+                                else (content.serialize() if content else {})
                             ),
                         )
                         for sample_uuid, content in sample_uuids.items()
@@ -814,7 +1069,8 @@ class VirtualWorkbench:
                             oss_path="",
                             extra=(
                                 {"material_uuid": content}
-                                if isinstance(content, str) else (content.serialize() if content else {})
+                                if isinstance(content, str)
+                                else (content.serialize() if content else {})
                             ),
                         )
                         for sample_uuid, content in sample_uuids.items()
@@ -896,7 +1152,8 @@ class VirtualWorkbench:
                         oss_path="",
                         extra=(
                             {"material_uuid": content}
-                            if isinstance(content, str) else (content.serialize() if content else {})
+                            if isinstance(content, str)
+                            else (content.serialize() if content else {})
                         ),
                     )
                     for sample_uuid, content in sample_uuids.items()

unilabos/registry/ast_registry_scanner.py

@@ -32,7 +32,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union
 
 MAX_SCAN_DEPTH = 10      # 最大目录递归深度
 MAX_SCAN_FILES = 1000    # 最大扫描文件数量
-_CACHE_VERSION = 1       # 缓存格式版本号，格式变更时递增
+_CACHE_VERSION = 2       # 缓存格式版本号，格式变更时递增
 
 # 合法的装饰器来源模块
 _REGISTRY_DECORATOR_MODULE = "unilabos.registry.decorators"
@@ -258,8 +258,6 @@ def scan_directory(
     }
 
 
-
-
 # ---------------------------------------------------------------------------
 # File-level parsing
 # ---------------------------------------------------------------------------
@@ -361,6 +359,7 @@ def _parse_file(
                     "actions": class_body.get("actions", {}),
                     "status_properties": class_body.get("status_properties", {}),
                     "init_params": class_body.get("init_params", []),
+                    "init_docstring": class_body.get("init_docstring"),
                     "auto_methods": class_body.get("auto_methods", {}),
                     "import_map": import_map,
                 }
@@ -497,7 +496,6 @@ def _collect_imports(tree: ast.Module, module_path: str = "") -> Dict[str, str]:
     return import_map
 
 
-
 # ---------------------------------------------------------------------------
 # Decorator finding & argument extraction
 # ---------------------------------------------------------------------------
@@ -768,6 +766,7 @@ def _extract_class_body(
         "actions": {},          # method_name -> action_info
         "status_properties": {},  # prop_name -> status_info
         "init_params": [],      # [{"name": ..., "type": ..., "default": ...}, ...]
+        "init_docstring": None,
         "auto_methods": {},     # method_name -> method_info (no @action decorator)
     }
 
@@ -780,6 +779,7 @@ def _extract_class_body(
         # --- __init__ ---
         if method_name == "__init__":
             result["init_params"] = _extract_method_params(item, import_map)
+            result["init_docstring"] = ast.get_docstring(item)
             continue
 
         # --- Skip private/dunder ---

unilabos/registry/devices/Qone_nmr.yaml

@@ -51,14 +51,18 @@ Qone_nmr:
               properties:
                 check_interval:
                   default: 60
+                  description: 检查间隔时间（秒），默认60秒
                   type: string
                 expected_count:
                   default: 1
+                  description: 期望生成的.nmr文件数量，默认1个
                   type: string
                 monitor_dir:
+                  description: 要监督的目录路径，如果未指定则使用self.monitor_directory
                   type: string
                 stability_checks:
                   default: 3
+                  description: 文件大小稳定性检查次数，默认3次
                   type: string
               required: []
               type: object
@@ -85,11 +89,14 @@ Qone_nmr:
             goal:
               properties:
                 output_dir:
+                  description: 输出目录（如果未指定，使用self.output_directory）
                   type: string
                 string_list:
+                  description: 字符串列表
                   type: string
                 txt_encoding:
                   default: utf-8
+                  description: 文件编码
                   type: string
               required:
               - string_list
@@ -151,6 +158,13 @@ Qone_nmr:
               additionalProperties: false
               properties:
                 string:
+                  description: '包含多个字符串的输入数据，支持两种格式：
+
+                    1. 逗号分隔：如 "A 1 B 2 C 3, X 10 Y 20 Z 30"
+
+                    2. 换行分隔：如 "A 1 B 2 C 3
+
+                    X 10 Y 20 Z 30"'
                   type: string
               title: StrSingleInput_Goal
               type: object

unilabos/registry/devices/bioyond_cell.yaml

@@ -491,14 +491,17 @@ bioyond_cell:
             goal:
               properties:
                 material_names:
+                  description: 物料名称列表；默认使用 [LiPF6, LiDFOB, DTD, LiFSI, LiPO2F2]
                   items:
                     type: string
                   type: array
                 type_id:
                   default: 3a190ca0-b2f6-9aeb-8067-547e72c11469
+                  description: 物料类型ID
                   type: string
                 warehouse_name:
                   default: 粉末加样头堆栈
+                  description: 目标仓库名（用于取位置信息）
                   type: string
               required: []
               type: object
@@ -527,12 +530,16 @@ bioyond_cell:
             goal:
               properties:
                 location_name_or_id:
+                  description: 具体库位名称（如 A01）或库位 UUID，由用户指定。
                   type: string
                 material_name:
+                  description: 物料名称（会优先匹配配置模板）。
                   type: string
                 type_id:
+                  description: 物料类型 ID（若为空则尝试从配置推断）。
                   type: string
                 warehouse_name:
+                  description: 需要入库的仓库名称；若为空则仅创建不入库。
                   type: string
               required:
               - material_name
@@ -661,15 +668,20 @@ bioyond_cell:
             goal:
               properties:
                 board_type:
+                  description: 板类型，如 "5ml分液瓶板"、"配液瓶(小)板"
                   type: string
                 bottle_type:
+                  description: 瓶类型，如 "5ml分液瓶"、"配液瓶(小)"
                   type: string
                 location_code:
+                  description: 库位编号，例如 "A01"
                   type: string
                 name:
+                  description: 物料名称
                   type: string
                 warehouse_name:
                   default: 手动堆栈
+                  description: 仓库名称，默认为 "手动堆栈"，支持 "自动堆栈-左"、"自动堆栈-右" 等
                   type: string
               required:
               - name
@@ -1956,7 +1968,7 @@ bioyond_cell:
               properties:
                 source_wh_id:
                   default: 3a19debc-84b4-0359-e2d4-b3beea49348b
-                  description: 来源仓库ID
+                  description: 来源仓库 Id (默认为3号仓库)
                   type: string
                 source_x:
                   default: 1
@@ -2061,9 +2073,11 @@ bioyond_cell:
             goal:
               properties:
                 order_code:
+                  description: 任务编号
                   type: string
                 timeout:
                   default: 36000
+                  description: 超时时间（秒）
                   type: integer
               required:
               - order_code
@@ -2092,12 +2106,15 @@ bioyond_cell:
             goal:
               properties:
                 order_code:
+                  description: 任务编号
                   type: string
                 poll_interval:
                   default: 0.5
+                  description: 轮询间隔（秒），默认 0.5 秒
                   type: number
                 timeout:
                   default: 36000
+                  description: 超时时间（秒）
                   type: integer
               required:
               - order_code
@@ -2154,10 +2171,15 @@ bioyond_cell:
     config:
       properties:
         bioyond_config:
+          description: '从 JSON 文件加载的 bioyond 配置字典
+
+            包含 api_host, api_key, HTTP_host, HTTP_port 等配置'
           type: object
         deck:
+          description: Deck 配置（可选，会从 JSON 中自动处理）
           type: string
         protocol_type:
+          description: 协议类型（可选）
           type: string
       required: []
       type: object

unilabos/registry/devices/bioyond_dispensing_station.yaml

@@ -47,8 +47,10 @@ bioyond_dispensing_station:
             goal:
               properties:
                 report_request:
+                  description: WorkstationReportRequest 对象，包含任务完成信息
                   type: string
                 used_materials:
+                  description: 物料使用记录列表
                   type: string
               required:
               - report_request
@@ -102,6 +104,7 @@ bioyond_dispensing_station:
             goal:
               properties:
                 material_name:
+                  description: 物料名称
                   type: string
               required:
               - material_name
@@ -611,10 +614,10 @@ bioyond_dispensing_station:
             goal:
               properties:
                 target_device_id:
-                  description: 目标反应站设备ID（从设备列表中选择，所有转移组都使用同一个目标设备）
+                  description: 目标反应站设备ID(所有转移组使用同一个设备)
                   type: string
                 transfer_groups:
-                  description: 转移任务组列表，每组包含物料名称、目标堆栈和目标库位，可以添加多组
+                  description: '转移任务组列表,每组包含:'
                   type: array
               required:
               - target_device_id
@@ -694,10 +697,13 @@ bioyond_dispensing_station:
     config:
       properties:
         config:
+          description: 配置字典,应包含material_type_mappings等配置
           type: object
         deck:
+          description: Deck对象
           type: string
         protocol_type:
+          description: 协议类型(由ROS系统传递,此处忽略)
           type: string
       required: []
       type: object

unilabos/registry/devices/coin_cell_workstation.yaml

@@ -158,7 +158,7 @@ coincellassemblyworkstation_device:
                   type: integer
                 battery_clean_ignore:
                   default: false
-                  description: 是否忽略电池清洁步骤
+                  description: 是否忽略电池清洁
                   type: boolean
                 battery_pressure_mode:
                   default: true
@@ -170,21 +170,21 @@ coincellassemblyworkstation_device:
                   type: integer
                 dual_drop_mode:
                   default: false
-                  description: 电解液添加模式(false=单次滴液, true=二次滴液)
+                  description: 电解液添加模式 (False=单次滴液, True=二次滴液)
                   type: boolean
                 dual_drop_start_timing:
                   default: false
-                  description: 二次滴液开始滴液时机(false=正极片前, true=正极片后)
+                  description: 二次滴液开始滴液时机 (False=正极片前, True=正极片后)
                   type: boolean
                 dual_drop_suction_timing:
                   default: false
-                  description: 二次滴液吸液时机(false=正常吸液, true=先吸液)
+                  description: 二次滴液吸液时机 (False=正常吸液, True=先吸液)
                   type: boolean
                 elec_num:
                   description: 电解液瓶数
                   type: string
                 elec_use_num:
-                  description: 每瓶电解液组装电池数
+                  description: 每瓶电解液组装的电池数
                   type: string
                 elec_vol:
                   default: 50
@@ -196,7 +196,7 @@ coincellassemblyworkstation_device:
                   type: string
                 fujipian_juzhendianwei:
                   default: 0
-                  description: 负极片矩阵点位。盘位置从1开始计数，有效范围：1-8, 13-20 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 负极片矩阵点位
                   type: integer
                 fujipian_panshu:
                   default: 0
@@ -204,7 +204,7 @@ coincellassemblyworkstation_device:
                   type: integer
                 gemo_juzhendianwei:
                   default: 0
-                  description: 隔膜矩阵点位。盘位置从1开始计数，有效范围：1-8, 13-20 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 隔膜矩阵点位
                   type: integer
                 gemopanshu:
                   default: 0
@@ -216,7 +216,7 @@ coincellassemblyworkstation_device:
                   type: boolean
                 qiangtou_juzhendianwei:
                   default: 0
-                  description: 枪头盒矩阵点位。盘位置从1开始计数，有效范围：1-32, 64-96 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 枪头盒矩阵点位
                   type: integer
               required:
               - elec_num
@@ -308,7 +308,13 @@ coincellassemblyworkstation_device:
               properties:
                 material_search_enable:
                   default: false
-                  description: 是否启用物料搜寻功能。设备初始化后会弹出物料搜寻确认弹窗，此参数控制自动点击"是"(启用)或"否"(不启用)。默认为false(不启用物料搜寻)
+                  description: '是否启用物料搜寻功能。
+
+                    设备初始化后会弹出物料搜寻确认弹窗，
+
+                    此参数控制自动点击''是''（启用）或''否''（不启用）。
+
+                    默认为False（不启用物料搜寻）。'
                   type: boolean
               required: []
               type: object
@@ -555,7 +561,7 @@ coincellassemblyworkstation_device:
                   type: integer
                 battery_clean_ignore:
                   default: false
-                  description: 是否忽略电池清洁步骤
+                  description: 是否忽略电池清洁
                   type: boolean
                 battery_pressure_mode:
                   default: true
@@ -567,21 +573,21 @@ coincellassemblyworkstation_device:
                   type: integer
                 dual_drop_mode:
                   default: false
-                  description: 电解液添加模式(false=单次滴液, true=二次滴液)
+                  description: 电解液添加模式 (False=单次滴液, True=二次滴液)
                   type: boolean
                 dual_drop_start_timing:
                   default: false
-                  description: 二次滴液开始滴液时机(false=正极片前, true=正极片后)
+                  description: 二次滴液开始滴液时机 (False=正极片前, True=正极片后)
                   type: boolean
                 dual_drop_suction_timing:
                   default: false
-                  description: 二次滴液吸液时机(false=正常吸液, true=先吸液)
+                  description: 二次滴液吸液时机 (False=正常吸液, True=先吸液)
                   type: boolean
                 elec_num:
-                  description: 电解液瓶数，如果在workflow中已通过handles连接上游(create_orders的bottle_count输出)，则此参数会自动从上游获取，无需手动填写；如果单独使用此函数(没有上游连接)，则必须手动填写电解液瓶数
+                  description: 电解液瓶数
                   type: string
                 elec_use_num:
-                  description: 每瓶电解液组装电池数
+                  description: 每瓶电解液组装的电池数
                   type: string
                 elec_vol:
                   default: 50
@@ -593,7 +599,7 @@ coincellassemblyworkstation_device:
                   type: string
                 fujipian_juzhendianwei:
                   default: 0
-                  description: 负极片矩阵点位。盘位置从1开始计数，有效范围：1-8, 13-20 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 负极片矩阵点位
                   type: integer
                 fujipian_panshu:
                   default: 0
@@ -601,7 +607,7 @@ coincellassemblyworkstation_device:
                   type: integer
                 gemo_juzhendianwei:
                   default: 0
-                  description: 隔膜矩阵点位。盘位置从1开始计数，有效范围：1-8, 13-20 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 隔膜矩阵点位
                   type: integer
                 gemopanshu:
                   default: 0
@@ -613,7 +619,7 @@ coincellassemblyworkstation_device:
                   type: boolean
                 qiangtou_juzhendianwei:
                   default: 0
-                  description: 枪头盒矩阵点位。盘位置从1开始计数，有效范围：1-32, 64-96 (写入值比实际位置少1，例如：写0取盘位1，写1取盘位2)
+                  description: 枪头盒矩阵点位
                   type: integer
               required:
               - elec_num

unilabos/registry/devices/laiyu_liquid_test.yaml

@@ -18,6 +18,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 degrees:
+                  description: 角度值
                   type: number
               required:
               - degrees
@@ -44,6 +45,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 axis:
+                  description: 电机轴
                   type: object
               required:
               - axis
@@ -71,6 +73,7 @@ xyz_stepper_controller:
               properties:
                 enable:
                   default: true
+                  description: True为使能，False为失能
                   type: boolean
               required: []
               type: object
@@ -99,9 +102,11 @@ xyz_stepper_controller:
             goal:
               properties:
                 axis:
+                  description: 电机轴
                   type: object
                 enable:
                   default: true
+                  description: True为使能，False为失能
                   type: boolean
               required:
               - axis
@@ -152,6 +157,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 axis:
+                  description: 电机轴
                   type: object
               required:
               - axis
@@ -183,16 +189,21 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度(rpm/s)
                   type: integer
                 axis:
+                  description: 电机轴
                   type: object
                 position:
+                  description: 目标位置(步数)
                   type: integer
                 precision:
                   default: 100
+                  description: 到位精度
                   type: integer
                 speed:
                   default: 5000
+                  description: 运行速度(rpm)
                   type: integer
               required:
               - axis
@@ -225,16 +236,21 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度
                   type: integer
                 axis:
+                  description: 电机轴
                   type: object
                 degrees:
+                  description: 目标角度（度）
                   type: number
                 precision:
                   default: 100
+                  description: 精度
                   type: integer
                 speed:
                   default: 5000
+                  description: 移动速度
                   type: integer
               required:
               - axis
@@ -267,16 +283,21 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度
                   type: integer
                 axis:
+                  description: 电机轴
                   type: object
                 precision:
                   default: 100
+                  description: 精度
                   type: integer
                 revolutions:
+                  description: 目标圈数
                   type: number
                 speed:
                   default: 5000
+                  description: 移动速度
                   type: integer
               required:
               - axis
@@ -309,15 +330,20 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度
                   type: integer
                 speed:
                   default: 5000
+                  description: 运行速度
                   type: integer
                 x:
+                  description: X轴目标位置
                   type: integer
                 y:
+                  description: Y轴目标位置
                   type: integer
                 z:
+                  description: Z轴目标位置
                   type: integer
               required: []
               type: object
@@ -350,15 +376,20 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度
                   type: integer
                 speed:
                   default: 5000
+                  description: 移动速度
                   type: integer
                 x_deg:
+                  description: X轴目标角度（度）
                   type: number
                 y_deg:
+                  description: Y轴目标角度（度）
                   type: number
                 z_deg:
+                  description: Z轴目标角度（度）
                   type: number
               required: []
               type: object
@@ -391,15 +422,20 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度
                   type: integer
                 speed:
                   default: 5000
+                  description: 移动速度
                   type: integer
                 x_rev:
+                  description: X轴目标圈数
                   type: number
                 y_rev:
+                  description: Y轴目标圈数
                   type: number
                 z_rev:
+                  description: Z轴目标圈数
                   type: number
               required: []
               type: object
@@ -427,6 +463,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 revolutions:
+                  description: 圈数
                   type: number
               required:
               - revolutions
@@ -456,10 +493,13 @@ xyz_stepper_controller:
               properties:
                 acceleration:
                   default: 1000
+                  description: 加速度(rpm/s)
                   type: integer
                 axis:
+                  description: 电机轴
                   type: object
                 speed:
+                  description: 运行速度(rpm)，正值正转，负值反转
                   type: integer
               required:
               - axis
@@ -487,6 +527,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 steps:
+                  description: 步数
                   type: integer
               required:
               - steps
@@ -513,6 +554,7 @@ xyz_stepper_controller:
             goal:
               properties:
                 steps:
+                  description: 步数
                   type: integer
               required:
               - steps
@@ -564,9 +606,11 @@ xyz_stepper_controller:
             goal:
               properties:
                 axis:
+                  description: 电机轴
                   type: object
                 timeout:
                   default: 30.0
+                  description: 超时时间(秒)
                   type: number
               required:
               - axis
@@ -591,11 +635,14 @@ xyz_stepper_controller:
       properties:
         baudrate:
           default: 115200
+          description: 波特率
           type: integer
         port:
+          description: 串口端口名
           type: string
         timeout:
           default: 1.0
+          description: 通信超时时间
           type: number
       required:
       - port

unilabos/registry/devices/liquid_handler.yaml

@@ -510,9 +510,11 @@ liquid_handler:
             goal:
               properties:
                 msg:
+                  description: information to be printed
                   type: string
                 seconds:
                   default: 0
+                  description: seconds to wait
                   type: string
               required: []
               type: object
@@ -2963,15 +2965,22 @@ liquid_handler:
               additionalProperties: false
               properties:
                 channel:
+                  description: int
                   maximum: 2147483647
                   minimum: -2147483648
                   type: integer
                 dis_to_top:
+                  description: 'float
+
+                    Height in mm to move to relative to the well top.'
                   maximum: 1.7976931348623157e+308
                   minimum: -1.7976931348623157e+308
                   type: number
                 well:
                   additionalProperties: false
+                  description: 'Well
+
+                    The target well.'
                   properties:
                     category:
                       type: string
@@ -4829,11 +4838,13 @@ liquid_handler:
     config:
       properties:
         backend:
+          description: Backend to use.
           type: object
         channel_num:
           default: 8
           type: integer
         deck:
+          description: Deck to use.
           type: object
         simulator:
           default: false
@@ -4883,14 +4894,17 @@ liquid_handler.biomek:
                 bind_parent_id:
                   type: string
                 liquid_input_slot:
+                  description: 液体输入槽列表
                   items:
                     type: integer
                   type: array
                 liquid_type:
+                  description: 液体类型列表
                   items:
                     type: string
                   type: array
                 liquid_volume:
+                  description: 液体体积列表
                   items:
                     type: integer
                   type: array
@@ -4901,6 +4915,7 @@ liquid_handler.biomek:
                     type: object
                   type: array
                 slot_on_deck:
+                  description: 甲板上的槽位
                   type: integer
               required:
               - resource_tracker
@@ -5036,20 +5051,27 @@ liquid_handler.biomek:
               additionalProperties: false
               properties:
                 none_keys:
+                  description: 需要设置为None的键列表
                   items:
                     type: string
                   type: array
                 protocol_author:
+                  description: 协议作者
                   type: string
                 protocol_date:
+                  description: 协议日期
                   type: string
                 protocol_description:
+                  description: 协议描述
                   type: string
                 protocol_name:
+                  description: 协议名称
                   type: string
                 protocol_type:
+                  description: 协议类型
                   type: string
                 protocol_version:
+                  description: 协议版本
                   type: string
               title: LiquidHandlerProtocolCreation_Goal
               type: object

unilabos/registry/devices/neware_battery_test_system.yaml

@@ -87,7 +87,7 @@ neware_battery_test_system:
               properties:
                 filepath:
                   default: bts_status.json
-                  description: 输出JSON文件路径
+                  description: 输出文件路径
                   type: string
               required: []
               type: object
@@ -146,7 +146,7 @@ neware_battery_test_system:
             goal:
               properties:
                 plate_num:
-                  description: 盘号 (1 或 2)，如果为null则返回所有盘的状态
+                  description: 盘号 (1 或 2)，如果为None则返回所有盘的状态
                   type: integer
               required: []
               type: object
@@ -237,11 +237,11 @@ neware_battery_test_system:
             goal:
               properties:
                 csv_path:
-                  description: 输入CSV文件的绝对路径
+                  description: 输入CSV文件路径
                   type: string
                 output_dir:
                   default: .
-                  description: 输出目录（用于存储XML和备份文件），默认当前目录
+                  description: 输出目录，用于存储XML文件和备份，默认当前目录
                   type: string
               required:
               - csv_path
@@ -302,14 +302,14 @@ neware_battery_test_system:
             goal:
               properties:
                 backup_dir:
-                  description: 备份目录路径（默认使用最近一次submit_from_csv的backup_dir）
+                  description: 备份目录路径，默认使用最近一次 submit_from_csv 的 backup_dir
                   type: string
                 file_pattern:
                   default: '*'
-                  description: 文件通配符模式，例如 *.csv 或 Battery_*.nda
+                  description: 文件通配符模式，默认 "*" 上传所有文件（例如 "*.csv" 仅上传 CSV 文件）
                   type: string
                 oss_prefix:
-                  description: OSS对象路径前缀（默认使用self.oss_prefix）
+                  description: OSS 对象前缀，默认使用类初始化时的配置
                   type: string
               required: []
               type: object
@@ -336,19 +336,25 @@ neware_battery_test_system:
     config:
       properties:
         devtype:
+          description: 设备类型标识
           type: string
         ip:
+          description: TCP服务器IP地址
           type: string
         machine_id:
           default: 1
+          description: 机器ID
           type: integer
         oss_prefix:
           default: neware_backup
+          description: OSS对象路径前缀，默认"neware_backup"
           type: string
         oss_upload_enabled:
           default: false
+          description: 是否启用OSS上传功能，默认False
           type: boolean
         port:
+          description: TCP端口
           type: integer
         size_x:
           default: 50
@@ -360,6 +366,7 @@ neware_battery_test_system:
           default: 20
           type: number
         timeout:
+          description: 通信超时时间（秒）
           type: integer
       required: []
       type: object

unilabos/registry/devices/organic_miscellaneous.yaml

@@ -207,8 +207,12 @@ separator.homemade:
             goal:
               properties:
                 condition:
+                  description: The condition to be monitored, either 'delta' or 'time'.
                   type: string
                 value:
+                  description: 'The threshold value for the condition.
+
+                    `delta > 0.05`, `time > 60`'
                   type: string
               required:
               - condition
@@ -305,12 +309,17 @@ separator.homemade:
                 event:
                   type: string
                 settling_time:
+                  description: The duration for which to settle after stirring, in
+                    seconds. Defaults to 10.
                   type: string
                 stir_speed:
+                  description: The speed of stirring, in RPM. Defaults to 300.
                   maximum: 1.7976931348623157e+308
                   minimum: -1.7976931348623157e+308
                   type: number
                 stir_time:
+                  description: The duration for which to stir, in seconds. Defaults
+                    to 10.
                   maximum: 1.7976931348623157e+308
                   minimum: -1.7976931348623157e+308
                   type: number

unilabos/registry/devices/pump_and_valve.yaml

@@ -456,6 +456,7 @@ syringe_pump_with_valve.runze.SY03B-T06:
             goal:
               properties:
                 volume:
+                  description: 'absolute position of the plunger, unit: mL'
                   type: number
               required:
               - volume
@@ -481,6 +482,7 @@ syringe_pump_with_valve.runze.SY03B-T06:
             goal:
               properties:
                 volume:
+                  description: 'absolute position of the plunger, unit: mL'
                   type: number
               required:
               - volume
@@ -687,8 +689,10 @@ syringe_pump_with_valve.runze.SY03B-T06:
             goal:
               properties:
                 max_velocity:
+                  description: 'maximum velocity of the plunger, unit: ml/s'
                   type: number
                 position:
+                  description: 'absolute position of the plunger, unit: ml'
                   type: number
               required:
               - position
@@ -1003,6 +1007,7 @@ syringe_pump_with_valve.runze.SY03B-T08:
             goal:
               properties:
                 volume:
+                  description: 'absolute position of the plunger, unit: mL'
                   type: number
               required:
               - volume
@@ -1028,6 +1033,7 @@ syringe_pump_with_valve.runze.SY03B-T08:
             goal:
               properties:
                 volume:
+                  description: 'absolute position of the plunger, unit: mL'
                   type: number
               required:
               - volume
@@ -1234,8 +1240,10 @@ syringe_pump_with_valve.runze.SY03B-T08:
             goal:
               properties:
                 max_velocity:
+                  description: 'maximum velocity of the plunger, unit: ml/s'
                   type: number
                 position:
+                  description: 'absolute position of the plunger, unit: ml'
                   type: number
               required:
               - position

unilabos/registry/devices/reaction_station_bioyond.yaml

@@ -32,7 +32,7 @@ reaction_station.bioyond:
                   type: integer
                 end_point:
                   default: 0
-                  description: 终点计时点 (Start=开始前, End=结束后)
+                  description: 终点计时点 (Start=0, End=1)
                   type: integer
                 end_step_key:
                   default: ''
@@ -40,11 +40,11 @@ reaction_station.bioyond:
                   type: string
                 start_point:
                   default: 0
-                  description: 起点计时点 (Start=开始前, End=结束后)
+                  description: 起点计时点 (Start=0, End=1)
                   type: integer
                 start_step_key:
                   default: ''
-                  description: 起点步骤Key (例如 "feeding", "liquid", 可选, 默认为空则自动选择)
+                  description: 起点步骤Key (可选, 默认为空则自动选择)
                   type: string
               required:
               - duration
@@ -91,6 +91,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 json_str:
+                  description: 订单参数的JSON字符串
                   type: string
               required:
               - json_str
@@ -117,6 +118,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 workflow_ids:
+                  description: 要删除的工作流ID数组
                   items:
                     type: string
                   type: array
@@ -145,6 +147,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 json_str:
+                  description: 'JSON格式的字符串,包含:'
                   type: string
               required:
               - json_str
@@ -197,6 +200,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 web_workflow_json:
+                  description: JSON 格式的网页工作流列表
                   type: string
               required:
               - web_workflow_json
@@ -228,8 +232,10 @@ reaction_station.bioyond:
             goal:
               properties:
                 reactor_id:
+                  description: 反应器编号 (1-5)
                   type: integer
                 temperature:
+                  description: 目标温度 (°C)
                   type: number
               required:
               - reactor_id
@@ -257,6 +263,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 preintake_id:
+                  description: 通量ID
                   type: string
               required:
               - preintake_id
@@ -338,6 +345,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 value:
+                  description: 工作流 ID 列表
                   items:
                     type: string
                   type: array
@@ -365,6 +373,7 @@ reaction_station.bioyond:
             goal:
               properties:
                 workflow_id:
+                  description: 工作流ID
                   type: string
               required:
               - workflow_id
@@ -424,11 +433,11 @@ reaction_station.bioyond:
             goal:
               properties:
                 assign_material_name:
-                  description: 物料名称（不能为空）
+                  description: 物料名称(液体种类)
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C)
+                  description: 温度(C)
                   type: number
                 time:
                   default: '90'
@@ -436,14 +445,14 @@ reaction_station.bioyond:
                   type: string
                 titration_type:
                   default: '1'
-                  description: 是否滴定(NO=否, YES=是)
+                  description: 是否滴定(NO=1, YES=2)
                   type: string
                 torque_variation:
                   default: 2
-                  description: 是否观察 (NO=否, YES=是)
+                  description: 是否观察(NO=1, YES=2)
                   type: integer
                 volume:
-                  description: 分液公式(mL)
+                  description: 分液量(μL)
                   type: string
               required:
               - assign_material_name
@@ -525,11 +534,11 @@ reaction_station.bioyond:
               properties:
                 assign_material_name:
                   default: BAPP
-                  description: 物料名称
+                  description: 物料名称(试剂瓶位)
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C)
+                  description: 温度设定(C)
                   type: number
                 time:
                   default: '0'
@@ -537,15 +546,15 @@ reaction_station.bioyond:
                   type: string
                 titration_type:
                   default: '1'
-                  description: 是否滴定(NO=否, YES=是)
+                  description: 是否滴定(NO=1, YES=2)
                   type: string
                 torque_variation:
                   default: 1
-                  description: 是否观察 (NO=否, YES=是)
+                  description: 是否观察(int类型, 1=否, 2=是)
                   type: integer
                 volume:
                   default: '350'
-                  description: 分液公式(mL)
+                  description: 分液质量(g)
                   type: string
               required: []
               type: object
@@ -593,26 +602,28 @@ reaction_station.bioyond:
                   description: 物料名称
                   type: string
                 solvents:
-                  description: '溶剂信息对象(可选),包含: additional_solvent(溶剂体积mL), total_liquid_volume(总液体体积mL)。如果提供,将自动计算volume'
+                  description: '溶剂信息的字典或JSON字符串(可选),格式如下:
+
+                    {'
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C),默认25.00
+                  description: 温度设定(C)
                   type: number
                 time:
                   default: '360'
-                  description: 观察时间(分钟),默认360
+                  description: 观察时间(分钟)
                   type: string
                 titration_type:
                   default: '1'
-                  description: 是否滴定(NO=否, YES=是),默认NO
+                  description: 是否滴定(NO=1, YES=2)
                   type: string
                 torque_variation:
                   default: 2
-                  description: 是否观察 (NO=否, YES=是),默认YES
+                  description: 是否观察(NO=1, YES=2)
                   type: integer
                 volume:
-                  description: 分液量(mL)。可直接提供,或通过solvents参数自动计算
+                  description: 分液量(μL),直接指定体积(可选,如果提供solvents则自动计算)
                   type: string
               required:
               - assign_material_name
@@ -671,33 +682,32 @@ reaction_station.bioyond:
                   description: 物料名称
                   type: string
                 extracted_actuals:
-                  description: 从报告提取的实际加料量JSON字符串,包含actualTargetWeigh(m二酐滴定)和actualVolume(V二酐滴定)
+                  description: 从报告提取的实际加料量JSON字符串,包含actualTargetWeigh和actualVolume
                   type: string
                 feeding_order_data:
-                  description: 'feeding_order JSON对象,用于获取m二酐值(type为main_anhydride的amount)。示例:
+                  description: feeding_order JSON字符串或对象,用于获取m二酐值
-                    {"feeding_order": [{"type": "main_anhydride", "amount": 1.915}]}'
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C),默认25.00
+                  description: 温度(C)
                   type: number
                 time:
                   default: '90'
-                  description: 观察时间(分钟),默认90
+                  description: 观察时间(分钟)
                   type: string
                 titration_type:
                   default: '2'
-                  description: 是否滴定(NO=否, YES=是),默认YES
+                  description: 是否滴定(NO=1, YES=2),默认2
                   type: string
                 torque_variation:
                   default: 2
-                  description: 是否观察 (NO=否, YES=是),默认YES
+                  description: 是否观察(NO=1, YES=2)
                   type: integer
                 volume_formula:
-                  description: 分液公式(mL)。可直接提供固定公式,或留空由系统根据x_value、feeding_order_data、extracted_actuals自动生成
+                  description: 分液公式(μL),如果提供则直接使用,否则自动计算
                   type: string
                 x_value:
-                  description: 公式中的x值,手工输入,格式为"{{1-2-3}}"(包含双花括号)。用于自动公式计算
+                  description: 手工输入的x值,格式如 "1-2-3"
                   type: string
               required:
               - assign_material_name
@@ -738,7 +748,7 @@ reaction_station.bioyond:
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C)
+                  description: 温度(C)
                   type: number
                 time:
                   default: '0'
@@ -746,14 +756,14 @@ reaction_station.bioyond:
                   type: string
                 titration_type:
                   default: '1'
-                  description: 是否滴定(NO=否, YES=是)
+                  description: 是否滴定(NO=1, YES=2)
                   type: string
                 torque_variation:
                   default: 1
-                  description: 是否观察 (NO=否, YES=是)
+                  description: 是否观察(NO=1, YES=2)
                   type: integer
                 volume_formula:
-                  description: 分液公式(mL)
+                  description: 分液公式(μL)
                   type: string
               required:
               - volume_formula
@@ -786,7 +796,7 @@ reaction_station.bioyond:
                   description: 任务名称
                   type: string
                 workflow_name:
-                  description: 工作流名称
+                  description: 合并后的工作流名称
                   type: string
               required:
               - workflow_name
@@ -819,15 +829,15 @@ reaction_station.bioyond:
             goal:
               properties:
                 assign_material_name:
-                  description: 物料名称
+                  description: 物料名称(不能为空)
                   type: string
                 cutoff:
                   default: '900000'
-                  description: 粘度上限
+                  description: 粘度上限(需为有效数字字符串,默认 "900000")
                   type: string
                 temperature:
                   default: -10.0
-                  description: 温度设定(°C)
+                  description: 温度设定(C,范围:-50.00 至 100.00)
                   type: number
               required:
               - assign_material_name
@@ -909,11 +919,11 @@ reaction_station.bioyond:
                   description: 物料名称(用于获取试剂瓶位ID)
                   type: string
                 material_id:
-                  description: 粉末类型ID，Salt=盐（21分钟），Flour=面粉（27分钟），BTDA=BTDA（38分钟）
+                  description: 粉末类型ID, Salt=1, Flour=2, BTDA=3
                   type: string
                 temperature:
                   default: 25.0
-                  description: 温度设定(°C)
+                  description: 温度设定(C)
                   type: number
                 time:
                   default: '0'
@@ -921,7 +931,7 @@ reaction_station.bioyond:
                   type: string
                 torque_variation:
                   default: 1
-                  description: 是否观察 (NO=否, YES=是)
+                  description: 是否观察(NO=1, YES=2)
                   type: integer
               required:
               - material_id
@@ -945,10 +955,13 @@ reaction_station.bioyond:
     config:
       properties:
         config:
+          description: 配置字典,应包含workflow_mappings等配置
           type: object
         deck:
+          description: Deck对象
           type: string
         protocol_type:
+          description: 协议类型(由ROS系统传递,此处忽略)
           type: string
       required: []
       type: object

unilabos/registry/devices/robot_arm.yaml

@@ -198,6 +198,8 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes option, target,
+                    speed, lift_height, mt_height
                   type: string
               title: SendCmd_Goal
               type: object
@@ -241,6 +243,8 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes quaternion, speed,
+                    position
                   type: string
               title: SendCmd_Goal
               type: object
@@ -284,6 +288,7 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes speed
                   type: string
               title: SendCmd_Goal
               type: object

unilabos/registry/devices/robot_linear_motion.yaml

@@ -709,6 +709,8 @@ linear_motion.toyo_xyz.sim:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes option, target,
+                    speed, lift_height, mt_height
                   type: string
               title: SendCmd_Goal
               type: object
@@ -752,6 +754,8 @@ linear_motion.toyo_xyz.sim:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes quaternion, speed,
+                    position
                   type: string
               title: SendCmd_Goal
               type: object
@@ -795,6 +799,7 @@ linear_motion.toyo_xyz.sim:
               additionalProperties: false
               properties:
                 command:
+                  description: A JSON-formatted string that includes speed
                   type: string
               title: SendCmd_Goal
               type: object

unilabos/registry/devices/virtual_device.yaml

@@ -2179,6 +2179,7 @@ virtual_multiway_valve:
             goal:
               properties:
                 port_number:
+                  description: 端口号 (1-8)
                   type: integer
               required:
               - port_number
@@ -2225,6 +2226,7 @@ virtual_multiway_valve:
             goal:
               properties:
                 port_number:
+                  description: 目标端口号 (1-8)
                   type: integer
               required:
               - port_number
@@ -2261,6 +2263,7 @@ virtual_multiway_valve:
               additionalProperties: false
               properties:
                 command:
+                  description: 目标位置 (0-8) 或位置字符串
                   type: string
               title: SendCmd_Goal
               type: object
@@ -2304,6 +2307,7 @@ virtual_multiway_valve:
               additionalProperties: false
               properties:
                 command:
+                  description: 目标位置 (0-8) 或位置字符串
                   type: string
               title: SendCmd_Goal
               type: object
@@ -3960,6 +3964,14 @@ virtual_separator:
     io_type: source
     label: bottom_phase_out
     side: SOUTH
+  - data_key: top_outlet
+    data_source: executor
+    data_type: fluid
+    description: 上相（轻相）液体输出口
+    handler_key: topphaseout
+    io_type: source
+    label: top_phase_out
+    side: NORTH
   - data_key: mechanical_port
     data_source: handle
     data_type: mechanical
@@ -4207,6 +4219,7 @@ virtual_solenoid_valve:
               additionalProperties: false
               properties:
                 string:
+                  description: '"ON"/"OFF" 或 "OPEN"/"CLOSED"'
                   type: string
               title: StrSingleInput_Goal
               type: object
@@ -4250,6 +4263,7 @@ virtual_solenoid_valve:
               additionalProperties: false
               properties:
                 command:
+                  description: '"OPEN"/"CLOSED" 或其他控制命令'
                   type: string
               title: SendCmd_Goal
               type: object
@@ -4410,16 +4424,20 @@ virtual_solid_dispenser:
                 event:
                   type: string
                 mass:
+                  description: 质量字符串 (如 "2.9 g")
                   type: string
                 mol:
+                  description: 摩尔数字符串 (如 "0.12 mol")
                   type: string
                 purpose:
+                  description: 添加目的
                   type: string
                 rate_spec:
                   type: string
                 ratio:
                   type: string
                 reagent:
+                  description: 试剂名称
                   type: string
                 stir:
                   type: boolean
@@ -4431,6 +4449,7 @@ virtual_solid_dispenser:
                   type: string
                 vessel:
                   additionalProperties: false
+                  description: 目标容器
                   properties:
                     category:
                       type: string
@@ -5560,8 +5579,10 @@ virtual_transfer_pump:
             goal:
               properties:
                 velocity:
+                  description: 拉取速度 (ml/s)
                   type: number
                 volume:
+                  description: 要拉取的体积 (ml)
                   type: number
               required:
               - volume
@@ -5588,8 +5609,10 @@ virtual_transfer_pump:
             goal:
               properties:
                 velocity:
+                  description: 推出速度 (ml/s)
                   type: number
                 volume:
+                  description: 要推出的体积 (ml)
                   type: number
               required:
               - volume
@@ -5685,10 +5708,12 @@ virtual_transfer_pump:
               additionalProperties: false
               properties:
                 max_velocity:
+                  description: 移动速度 (ml/s)
                   maximum: 1.7976931348623157e+308
                   minimum: -1.7976931348623157e+308
                   type: number
                 position:
+                  description: 目标位置 (ml)
                   maximum: 1.7976931348623157e+308
                   minimum: -1.7976931348623157e+308
                   type: number
@@ -5837,8 +5862,10 @@ virtual_transfer_pump:
     config:
       properties:
         config:
+          description: 配置字典，包含max_volume, port等参数
           type: object
         device_id:
+          description: 设备ID
           type: string
       required: []
       type: object

unilabos/registry/devices/xrd_d7mate.yaml

@@ -421,7 +421,7 @@ xrd_d7mate:
                   type: number
                 sample_id:
                   default: ''
-                  description: 样品标识符
+                  description: 样品名称
                   type: string
                 start_theta:
                   default: 10.0
@@ -433,7 +433,7 @@ xrd_d7mate:
                   type: string
                 wait_minutes:
                   default: 3.0
-                  description: 允许上样后等待分钟数
+                  description: 在允许上样后、发送样品准备完成前的等待分钟数（默认 3 分钟）
                   type: number
               required: []
               title: StartWorkflow_Goal
@@ -492,12 +492,15 @@ xrd_d7mate:
       properties:
         host:
           default: 127.0.0.1
+          description: 设备IP地址
           type: string
         port:
           default: 6001
+          description: 通信端口，默认6001
           type: string
         timeout:
           default: 10.0
+          description: 超时时间，单位秒
           type: string
       required: []
       type: object

unilabos/registry/devices/zhida_gcms.yaml

@@ -217,6 +217,7 @@ zhida_gcms:
               additionalProperties: false
               properties:
                 string:
+                  description: Base64编码的CSV数据（ROS2参数名）
                   type: string
               title: StrSingleInput_Goal
               type: object
@@ -257,6 +258,7 @@ zhida_gcms:
               additionalProperties: false
               properties:
                 string:
+                  description: CSV文件路径（ROS2参数名）
                   type: string
               title: StrSingleInput_Goal
               type: object
@@ -289,12 +291,15 @@ zhida_gcms:
       properties:
         host:
           default: 192.168.3.184
+          description: 设备IP地址，本地部署时可使用'127.0.0.1'
           type: string
         port:
           default: 5792
+          description: 通信端口，默认5792
           type: string
         timeout:
           default: 10.0
+          description: 超时时间，单位秒
           type: string
       required: []
       type: object

unilabos/registry/registry.py

@@ -271,6 +271,7 @@ class Registry:
         registry_cache.pkl 一个文件中，删除即可完全重置。
         """
         import time as _time
+        from unilabos.registry.ast_registry_scanner import _CACHE_VERSION as AST_SCAN_CACHE_VERSION
         from unilabos.registry.ast_registry_scanner import scan_directory
 
         scan_t0 = _time.perf_counter()
@@ -286,6 +287,10 @@ class Registry:
         # ---- 统一缓存：一个 pkl 包含所有数据 ----
         unified_cache = self._load_config_cache()
         ast_cache = unified_cache.setdefault("_ast_scan", {"files": {}})
+        if ast_cache.get("version") != AST_SCAN_CACHE_VERSION:
+            ast_cache = {"version": AST_SCAN_CACHE_VERSION, "files": {}}
+            unified_cache["_ast_scan"] = ast_cache
+            unified_cache.pop("_build_results", None)
 
         # 默认：扫描 unilabos 包所在的父目录
         pkg_root = Path(__file__).resolve().parent.parent          # .../unilabos
@@ -561,13 +566,47 @@ class Registry:
 
         return prop_schema
 
+    @staticmethod
+    def _apply_docstring_param_metadata(
+        schema: Dict[str, Any],
+        doc_info: Dict[str, Any],
+        field_to_param: Optional[Dict[str, str]] = None,
+        apply_defaults: bool = False,
+    ) -> None:
+        """Apply parsed docstring display names and descriptions to schema properties."""
+        if not schema or not doc_info:
+            return
+
+        props = schema.get("properties", {})
+        if not isinstance(props, dict):
+            return
+
+        param_descs = doc_info.get("params", {}) or {}
+        param_display_names = doc_info.get("param_display_names", {}) or {}
+        for field_name, prop_schema in props.items():
+            if not isinstance(prop_schema, dict):
+                continue
+            param_name = field_to_param.get(field_name, field_name) if field_to_param else field_name
+            if not isinstance(param_name, str):
+                continue
+            param_name = param_name.removesuffix("[]")
+            if param_name in param_display_names:
+                prop_schema["title"] = param_display_names[param_name]
+            elif apply_defaults and not prop_schema.get("title"):
+                prop_schema["title"] = field_name
+
+            if param_name in param_descs:
+                prop_schema["description"] = param_descs[param_name]
+            elif apply_defaults and "description" not in prop_schema:
+                prop_schema["description"] = ""
+
     def _generate_unilab_json_command_schema(
         self, method_args: list, docstring: Optional[str] = None,
         import_map: Optional[Dict[str, str]] = None,
+        apply_doc_defaults: bool = False,
     ) -> Dict[str, Any]:
         """根据方法参数和 docstring 生成 UniLabJsonCommand schema"""
         doc_info = parse_docstring(docstring)
-        param_descs = doc_info.get("params", {})
 
         schema = {
             "type": "object",
@@ -598,12 +637,10 @@ class Registry:
                     param_name, param_type, param_default, import_map=import_map
                 )
 
-            if param_name in param_descs:
-                schema["properties"][param_name]["description"] = param_descs[param_name]
-
             if param_required:
                 schema["required"].append(param_name)
 
+        self._apply_docstring_param_metadata(schema, doc_info, apply_defaults=apply_doc_defaults)
         return schema
 
     def _generate_status_types_schema(self, status_methods: Dict[str, Any]) -> Dict[str, Any]:
@@ -799,6 +836,7 @@ class Registry:
             type_str = "UniLabJsonCommandAsync" if is_async else "UniLabJsonCommand"
             params = method_info.get("params", [])
             method_doc = method_info.get("docstring")
+            method_doc_info = parse_docstring(method_doc)
             goal_schema = self._generate_schema_from_ast_params(params, method_name, method_doc, imap)
 
             if action_args is not None:
@@ -828,7 +866,11 @@ class Registry:
 
             # action handles: 从 @action(handles=[...]) 提取并转换为标准格式
             raw_handles = (action_args or {}).get("handles")
-            handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
+            handles = (
+                normalize_ast_action_handles(raw_handles)
+                if isinstance(raw_handles, list)
+                else (raw_handles or {})
+            )
 
             # placeholder_keys: 先从参数类型自动检测，再用装饰器显式配置覆盖/补充
             pk = detect_placeholder_keys(params)
@@ -847,7 +889,12 @@ class Registry:
                 "goal": goal,
                 "feedback": (action_args or {}).get("feedback") or {},
                 "result": (action_args or {}).get("result") or {},
-                "schema": wrap_action_schema(goal_schema, action_name, result_schema=result_schema),
+                "schema": wrap_action_schema(
+                    goal_schema,
+                    action_name,
+                    description=(action_args or {}).get("description") or method_doc_info.get("description", ""),
+                    result_schema=result_schema,
+                ),
                 "goal_default": goal_default,
                 "handles": handles,
                 "placeholder_keys": pk,
@@ -886,7 +933,11 @@ class Registry:
                 action_name = f"auto-{action_name}"
 
             raw_handles = action_args.get("handles")
-            handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
+            handles = (
+                normalize_ast_action_handles(raw_handles)
+                if isinstance(raw_handles, list)
+                else (raw_handles or {})
+            )
 
             method_params = method_info.get("params", [])
 
@@ -979,7 +1030,10 @@ class Registry:
                 "schema": schema,
                 "goal_default": goal_default,
                 "handles": handles,
-                "placeholder_keys": {**detect_placeholder_keys(method_params), **(action_args.get("placeholder_keys") or {})},
+                "placeholder_keys": {
+                    **detect_placeholder_keys(method_params),
+                    **(action_args.get("placeholder_keys") or {}),
+                },
             }
             if action_args.get("always_free") or method_info.get("always_free"):
                 action_entry["always_free"] = True
@@ -988,13 +1042,22 @@ class Registry:
             nt = normalize_enum_value(action_args.get("node_type"), NodeType)
             if nt:
                 action_entry["node_type"] = nt
+            goal_schema_for_docs = action_entry.get("schema", {}).get("properties", {}).get("goal", {})
+            self._apply_docstring_param_metadata(
+                goal_schema_for_docs,
+                parse_docstring(method_info.get("docstring")),
+                goal,
+                apply_defaults=True,
+            )
             action_value_mappings[action_name] = action_entry
 
         action_value_mappings = dict(sorted(action_value_mappings.items()))
 
         # --- init_param_schema = { config: <init_params>, data: <status_types> } ---
         init_params = ast_meta.get("init_params", [])
-        config_schema = self._generate_schema_from_ast_params(init_params, "__init__", import_map=imap)
+        config_schema = self._generate_schema_from_ast_params(
+            init_params, "__init__", ast_meta.get("init_docstring"), import_map=imap
+        )
         data_schema = self._generate_status_schema_from_ast(
             ast_meta.get("status_properties", {}), imap
         )
@@ -1042,7 +1105,6 @@ class Registry:
     ) -> Dict[str, Any]:
         """Generate JSON Schema from AST-extracted parameter list."""
         doc_info = parse_docstring(docstring)
-        param_descs = doc_info.get("params", {})
 
         schema: Dict[str, Any] = {
             "type": "object",
@@ -1072,12 +1134,10 @@ class Registry:
                     pname, ptype, pdefault, import_map
                 )
 
-            if pname in param_descs:
-                schema["properties"][pname]["description"] = param_descs[pname]
-
             if prequired:
                 schema["required"].append(pname)
 
+        self._apply_docstring_param_metadata(schema, doc_info, apply_defaults=True)
         return schema
 
     def _generate_status_schema_from_ast(
@@ -1807,7 +1867,7 @@ class Registry:
                         else:
                             action_key = f"auto-{k}"
                         goal_schema = self._generate_unilab_json_command_schema(
-                            v["args"], import_map=enhanced_import_map
+                            v["args"], docstring=v.get("docstring"), import_map=enhanced_import_map
                         )
                         ret_type = v.get("return_type", "")
                         result_schema = None
@@ -1816,7 +1876,13 @@ class Registry:
                                 "result", ret_type, None, import_map=enhanced_import_map
                             )
                         old_cfg = old_action_configs.get(action_key) or old_action_configs.get(f"auto-{k}", {})
-                        new_schema = wrap_action_schema(goal_schema, action_key, result_schema=result_schema)
+                        doc_info = parse_docstring(v.get("docstring"))
+                        new_schema = wrap_action_schema(
+                            goal_schema,
+                            action_key,
+                            description=doc_info.get("description", ""),
+                            result_schema=result_schema,
+                        )
                         old_schema = old_cfg.get("schema", {})
                         if old_schema:
                             preserve_field_descriptions(new_schema, old_schema)
@@ -1882,6 +1948,12 @@ class Registry:
 
                         merged_pk = dict(old_cfg.get("placeholder_keys", {}))
                         merged_pk.update(detect_placeholder_keys(v["args"]))
+                        goal_schema_for_docs = (
+                            entry_schema.get("properties", {}).get("goal", {})
+                            if isinstance(entry_schema, dict)
+                            else {}
+                        )
+                        self._apply_docstring_param_metadata(goal_schema_for_docs, doc_info, entry_goal)
 
                         entry = {
                             "type": entry_type,
@@ -1902,7 +1974,8 @@ class Registry:
 
                     device_config["init_param_schema"] = {}
                     init_schema = self._generate_unilab_json_command_schema(
-                        enhanced_info["init_params"], "__init__",
+                        enhanced_info["init_params"],
+                        docstring=enhanced_info.get("init_docstring"),
                         import_map=enhanced_import_map,
                     )
                     device_config["init_param_schema"]["config"] = init_schema
@@ -1949,7 +2022,9 @@ class Registry:
                             action_str_type_mapping[action_type_str] = target_type
                             if target_type is not None:
                                 try:
-                                    action_config["goal_default"] = ROS2MessageInstance(target_type.Goal()).get_python_dict()
+                                    action_config["goal_default"] = ROS2MessageInstance(
+                                        target_type.Goal()
+                                    ).get_python_dict()
                                 except Exception:
                                     action_config["goal_default"] = {}
                                 prev_schema = action_config.get("schema", {})
@@ -2141,6 +2216,7 @@ class Registry:
                                 "unilabos_device_id": {
                                     "type": "string",
                                     "default": "",
+                                    "title": "设备ID",
                                     "description": "UniLabOS设备ID，用于指定执行动作的具体设备实例",
                                 },
                                 **schema["properties"]["goal"]["properties"],
@@ -2212,7 +2288,14 @@ class Registry:
 lab_registry = Registry()
 
 
-def build_registry(registry_paths=None, devices_dirs=None, upload_registry=False, check_mode=False, complete_registry=False, external_only=False):
+def build_registry(
+    registry_paths=None,
+    devices_dirs=None,
+    upload_registry=False,
+    check_mode=False,
+    complete_registry=False,
+    external_only=False,
+):
     """
     构建或获取Registry单例实例
     """
@@ -2226,7 +2309,12 @@ def build_registry(registry_paths=None, devices_dirs=None, upload_registry=False
             if path not in current_paths:
                 lab_registry.registry_paths.append(path)
 
-    lab_registry.setup(devices_dirs=devices_dirs, upload_registry=upload_registry, complete_registry=complete_registry, external_only=external_only)
+    lab_registry.setup(
+        devices_dirs=devices_dirs,
+        upload_registry=upload_registry,
+        complete_registry=complete_registry,
+        external_only=external_only,
+    )
 
     # 将 AST 扫描的字符串类型替换为实际 ROS2 消息类（仅查找 ROS2 类型，不 import 设备模块）
     lab_registry.resolve_all_types()

unilabos/registry/utils.py

@@ -36,16 +36,40 @@ class ROSMsgNotFound(Exception):
 # ---------------------------------------------------------------------------
 
 _SECTION_RE = re.compile(r"^(\w[\w\s]*):\s*$")
+_PARAM_HEADER_RE = re.compile(
+    r"^\s*(?P<name>\w[\w]*)\s*(?:\[(?P<display_name>[^\]]+)\])?(?:\s*\([^)]*\))?\s*$"
+)
+
+
+def _parse_docstring_param_header(param_part: str) -> Tuple[str, Optional[str]]:
+    """Parse ``name[display_name]`` or Google-style ``name (type)``."""
+    match = _PARAM_HEADER_RE.match(param_part.strip())
+    if not match:
+        return param_part.strip().split("(")[0].strip(), None
+
+    display_name = match.group("display_name")
+    if display_name is not None:
+        display_name = display_name.strip() or None
+    return match.group("name").strip(), display_name
 
 
 def parse_docstring(docstring: Optional[str]) -> Dict[str, Any]:
     """
-    解析 Google-style docstring，提取描述和参数说明。
+    解析 docstring，提取描述和参数说明。
+
+    支持:
+      - Google-style ``Args:`` / ``Parameters:`` 小节
+      - 直接参数行 ``field: desc``
+      - 带显示名参数行 ``field[Display Name]: desc``
 
     Returns:
-        {"description": "短描述", "params": {"param1": "参数1描述", ...}}
+        {
+            "description": "短描述",
+            "params": {"param1": "参数1描述", ...},
+            "param_display_names": {"param1": "显示名", ...},
+        }
     """
-    result: Dict[str, Any] = {"description": "", "params": {}}
+    result: Dict[str, Any] = {"description": "", "params": {}, "param_display_names": {}}
     if not docstring:
         return result
 
@@ -53,33 +77,53 @@ def parse_docstring(docstring: Optional[str]) -> Dict[str, Any]:
     if not lines:
         return result
 
-    result["description"] = lines[0].strip()
-
     in_args = False
+    current_section: Optional[str] = None
     current_param: Optional[str] = None
+    current_display_name: Optional[str] = None
     current_desc_parts: list = []
 
-    for line in lines[1:]:
+    def flush_current_param() -> None:
+        nonlocal current_param, current_display_name, current_desc_parts
+        if current_param is None:
+            return
+        result["params"][current_param] = "\n".join(current_desc_parts).strip()
+        if current_display_name:
+            result["param_display_names"][current_param] = current_display_name
+        current_param = None
+        current_display_name = None
+        current_desc_parts = []
+
+    first_line = lines[0].strip()
+    start_index = 0
+    if not _SECTION_RE.match(first_line) and ":" not in first_line:
+        result["description"] = first_line
+        start_index = 1
+
+    for line in lines[start_index:]:
         stripped = line.strip()
+        if not stripped:
+            if current_param is not None:
+                current_desc_parts.append("")
+            continue
+
         section_match = _SECTION_RE.match(stripped)
         if section_match:
-            if current_param is not None:
+            flush_current_param()
-                result["params"][current_param] = "\n".join(current_desc_parts).strip()
+            current_section = section_match.group(1).lower()
-                current_param = None
+            in_args = current_section in ("args", "arguments", "parameters", "params")
-                current_desc_parts = []
-            section_name = section_match.group(1).lower()
-            in_args = section_name in ("args", "arguments", "parameters", "params")
             continue
 
-        if not in_args:
+        parse_as_param = in_args or current_section is None
+        if not parse_as_param:
             continue
 
-        if ":" in stripped and not stripped.startswith(" "):
+        if ":" in stripped:
-            if current_param is not None:
+            flush_current_param()
-                result["params"][current_param] = "\n".join(current_desc_parts).strip()
             param_part, _, desc_part = stripped.partition(":")
-            param_name = param_part.strip().split("(")[0].strip()
+            param_name, display_name = _parse_docstring_param_header(param_part)
             current_param = param_name
+            current_display_name = display_name
             current_desc_parts = [desc_part.strip()]
         elif current_param is not None:
             aline = line
@@ -89,8 +133,7 @@ def parse_docstring(docstring: Optional[str]) -> Dict[str, Any]:
                 aline = aline[1:]
             current_desc_parts.append(aline.strip())
 
-    if current_param is not None:
+    flush_current_param()
-        result["params"][current_param] = "\n".join(current_desc_parts).strip()
 
     return result
 

unilabos/resources/graphio.py

@@ -42,7 +42,7 @@ def canonicalize_nodes_data(
     Returns:
         ResourceTreeSet: 标准化后的资源树集合
     """
-    print_status(f"{len(nodes)} Resources loaded:", "info")
+    print_status(f"{len(nodes)} Resources loaded", "info")
 
     # 第一步：基本预处理（处理graphml的label字段）
     outer_host_node_id = None

unilabos/ros/nodes/base_device_node.py

@@ -45,6 +45,7 @@ from unilabos.resources.graphio import (
 )
 from unilabos.resources.plr_additional_res_reg import register
 from unilabos.ros.msgs.message_converter import (
+    String,
     convert_to_ros_msg,
     convert_from_ros_msg_with_mapping,
     convert_to_ros_msg_with_mapping,
@@ -250,7 +251,8 @@ class PropertyPublisher:
     ):
         self.node = node
         self.name = name
-        self.msg_type = msg_type
+        self.msg_type = self._normalize_msg_type(msg_type)
+        self.original_msg_type = msg_type
         self.get_method = get_method
         self.timer_period = initial_period
         self.print_publish = print_publish
@@ -258,16 +260,36 @@ class PropertyPublisher:
 
         self._value = None
         try:
-            self.publisher_ = node.create_publisher(msg_type, f"{name}", qos)
+            self.publisher_ = node.create_publisher(self.msg_type, f"{name}", qos)
         except Exception as e:
             self.node.lab_logger().error(
-                f"StatusError, DeviceId: {self.node.device_id} 创建发布者 {name} 失败，可能由于注册表有误，类型: {msg_type}，错误: {e}"
+                f"StatusError, DeviceId: {self.node.device_id} 创建发布者 {name} 失败，"
+                f"可能由于注册表有误，类型: {msg_type}，错误: {e}"
             )
+            self.msg_type = String
+            try:
+                self.publisher_ = node.create_publisher(self.msg_type, f"{name}", qos)
+                self.node.lab_logger().warning(
+                    f"属性 {name} 的发布类型已降级为 String，原始类型: {msg_type}"
+                )
+            except Exception:
+                self.publisher_ = None
         self.timer = node.create_timer(self.timer_period, self.publish_property)
         self.__loop = ROS2DeviceNode.get_asyncio_loop()
-        str_msg_type = str(msg_type)[8:-2]
+        str_msg_type = str(self.msg_type)[8:-2]
         self.node.lab_logger().trace(f"发布属性: {name}, 类型: {str_msg_type}, 周期: {initial_period}秒, QoS: {qos}")
 
+    @staticmethod
+    def _normalize_msg_type(msg_type):
+        if msg_type in (dict, list, tuple, set) or msg_type in ("dict", "list", "tuple", "set"):
+            return String
+        return msg_type
+
+    def _normalize_value(self, value):
+        if self.msg_type is String and isinstance(value, (dict, list, tuple, set)):
+            return json.dumps(value, ensure_ascii=False, cls=TypeEncoder)
+        return value
+
     def get_property(self):
         if asyncio.iscoroutinefunction(self.get_method):
             # 如果是异步函数，运行事件循环并等待结果
@@ -302,12 +324,16 @@ class PropertyPublisher:
                 pass
                 # self.node.lab_logger().trace(f"【.publish_property】发布 {self.msg_type}: {value}")
             if value is not None:
+                if self.publisher_ is None:
+                    return
+                value = self._normalize_value(value)
                 msg = convert_to_ros_msg(self.msg_type, value)
                 self.publisher_.publish(msg)
                 # self.node.lab_logger().trace(f"【.publish_property】属性 {self.name} 发布成功")
         except Exception as e:
+            topic = getattr(self.publisher_, "topic", self.name)
             self.node.lab_logger().error(
-                f"【.publish_property】发布属性 {self.publisher_.topic} 出错: {str(e)}\n{traceback.format_exc()}"
+                f"【.publish_property】发布属性 {topic} 出错: {str(e)}\n{traceback.format_exc()}"
             )
 
     def change_frequency(self, period):
@@ -1971,10 +1997,15 @@ class BaseROS2DeviceNode(Node, Generic[T]):
 
         mapped_plr_resources = []
         for uuid in uuids_list:
+            found = None
             for plr_resource in figured_resources:
                 r = self.resource_tracker.loop_find_with_uuid(plr_resource, uuid)
-                mapped_plr_resources.append(r)
+                if r is not None:
+                    found = r
                     break
+            if found is None:
+                raise Exception(f"未能在已解析的资源树中找到 uuid={uuid} 对应的资源")
+            mapped_plr_resources.append(found)
 
         return mapped_plr_resources
 

unilabos/ros/nodes/presets/host_node.py

@@ -1691,7 +1691,9 @@ class HostNode(BaseROS2DeviceNode):
         else:
             self.lab_logger().warning("⚠️ 收到无效的Pong响应（缺少ping_id）")
 
-    def notify_resource_tree_update(self, device_id: str, action: str, resource_uuid_list: List[str]) -> bool:
+    def notify_resource_tree_update(
+        self, device_id: str, action: str, resource_uuid_list: List[str]
+    ) -> Optional[bool]:
         """
         通知设备节点更新资源树
 
@@ -1701,13 +1703,14 @@ class HostNode(BaseROS2DeviceNode):
             resource_uuid_list: 资源UUIDs
 
         Returns:
-            bool: 操作是否成功
+            True if the update completed, False if it failed, None if it was intentionally skipped.
         """
         try:
-            # 检查设备是否存在
             if device_id not in self.devices_names:
-                self.lab_logger().error(f"[Host Node-Resource] Device {device_id} not found in devices_names")
+                self.lab_logger().info(
-                return False
+                    f"[Host Node-Resource] 在线增加设备暂不支持，跳过设备 {device_id} 的资源树 {action} 更新"
+                )
+                return None
 
             namespace = self.devices_names[device_id]
             device_key = f"{namespace}/{device_id}"

unilabos/utils/environment_check.py

@@ -33,10 +33,83 @@ _USE_UV: Optional[bool] = None
 def _has_uv() -> bool:
     global _USE_UV
     if _USE_UV is None:
-        _USE_UV = shutil.which("uv") is not None
+        uv_path = shutil.which("uv")
+        if not uv_path:
+            _USE_UV = False
+        else:
+            try:
+                result = subprocess.run([uv_path, "--version"], capture_output=True, text=True, timeout=10)
+                _USE_UV = result.returncode == 0
+            except Exception:
+                _USE_UV = False
     return _USE_UV
 
 
+def _install_command(installer: str, package: str, upgrade: bool, is_chinese: bool) -> List[str]:
+    if installer == "uv":
+        # uv >= 0.5 默认要求虚拟环境，对 conda env 会报 "No virtual environment found"。
+        # 显式 --python sys.executable 让 uv 把当前解释器（conda/venv/system 都行）
+        # 视为目标环境，绕开 venv 检测。
+        cmd = ["uv", "pip", "install", "--python", sys.executable]
+        if upgrade:
+            cmd.append("--upgrade")
+        cmd.append(package)
+        if is_chinese:
+            cmd.extend(["--index-url", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
+        return cmd
+
+    cmd = [sys.executable, "-m", "pip", "install", "--disable-pip-version-check"]
+    if upgrade:
+        cmd.append("--upgrade")
+    cmd.append(package)
+    if is_chinese:
+        cmd.extend(["-i", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
+    return cmd
+
+
+def _installer_candidates() -> List[str]:
+    installers: List[str] = []
+    if _has_uv():
+        installers.append("uv")
+    installers.append("pip")
+    return installers
+
+
+def _git_url_from_requirement(requirement: str) -> Optional[str]:
+    if not requirement.startswith("git+"):
+        return None
+    return requirement[4:].split("#", 1)[0]
+
+
+def _repo_dir_name(git_url: str) -> str:
+    repo_name = git_url.rstrip("/").rsplit("/", 1)[-1]
+    return repo_name[:-4] if repo_name.endswith(".git") else repo_name
+
+
+def _print_manual_git_install_hint(requirement: str) -> None:
+    git_url = _git_url_from_requirement(requirement)
+    if not git_url:
+        return
+
+    repo_dir = _repo_dir_name(git_url)
+    install_cmd = (
+        f'uv pip install --python "{sys.executable}" -e .'
+        if _has_uv()
+        else f"{sys.executable} -m pip install -e ."
+    )
+    if _is_chinese_locale() and not _has_uv():
+        install_cmd += " -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
+
+    print_status("Git 依赖自动安装失败，通常是网络连接被重置或代码托管站点暂时不可达。", "warning")
+    print_status("可以手动拉取代码后在本地安装:", "warning")
+    print_status(f"  git clone {git_url}", "warning")
+    print_status(f"  cd {repo_dir}", "warning")
+    print_status("  git pull", "warning")
+    print_status(f"  {install_cmd}", "warning")
+    print_status(f"如果目录 {repo_dir} 已存在，直接进入该目录执行 git pull 后再安装。", "warning")
+    print_status("如果 git clone 仍失败，请切换网络/代理，或从浏览器下载源码后进入源码目录执行本地安装命令。", "warning")
+
+
 def _install_packages(
     packages: List[str],
     upgrade: bool = False,
@@ -53,7 +126,7 @@ def _install_packages(
         return True
 
     is_chinese = _is_chinese_locale()
-    use_uv = _has_uv()
+    installers = _installer_candidates()
     failed: List[str] = []
 
     for pkg in packages:
@@ -63,35 +136,30 @@ def _install_packages(
         else:
             print_status(f"正在{action_word} {pkg}...", "info")
 
-        if use_uv:
+        pkg_installed = False
-            cmd = ["uv", "pip", "install"]
+        last_error = "unknown error"
-            if upgrade:
-                cmd.append("--upgrade")
-            cmd.append(pkg)
-            if is_chinese:
-                cmd.extend(["--index-url", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
-        else:
-            cmd = [sys.executable, "-m", "pip", "install"]
-            if upgrade:
-                cmd.append("--upgrade")
-            cmd.append(pkg)
-            if is_chinese:
-                cmd.extend(["-i", "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"])
 
+        for installer in installers:
+            cmd = _install_command(installer, pkg, upgrade, is_chinese)
             try:
                 result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
                 if result.returncode == 0:
-                installer = "uv" if use_uv else "pip"
                     print_status(f"✓ {pkg} {action_word}成功 (via {installer})", "success")
-            else:
+                    pkg_installed = True
-                stderr_short = result.stderr.strip().split("\n")[-1] if result.stderr else "unknown error"
+                    break
-                print_status(f"× {pkg} {action_word}失败: {stderr_short}", "error")
+
-                failed.append(pkg)
+                last_error = result.stderr.strip().split("\n")[-1] if result.stderr else "unknown error"
+                print_status(f"× {pkg} {action_word}失败 (via {installer}): {last_error}", "warning")
             except subprocess.TimeoutExpired:
-            print_status(f"× {pkg} {action_word}超时 (300s)", "error")
+                last_error = "timeout after 300s"
-            failed.append(pkg)
+                print_status(f"× {pkg} {action_word}超时 (via {installer}, 300s)", "warning")
             except Exception as e:
-            print_status(f"× {pkg} {action_word}异常: {e}", "error")
+                last_error = str(e)
+                print_status(f"× {pkg} {action_word}异常 (via {installer}): {e}", "warning")
+
+        if not pkg_installed:
+            print_status(f"× {pkg} {action_word}失败: {last_error}", "error")
+            _print_manual_git_install_hint(pkg)
             failed.append(pkg)
 
     if failed:
@@ -188,7 +256,13 @@ class EnvironmentChecker:
             "crcmod": "crcmod-plus",
         }
 
-        self.special_packages = {"pylabrobot": "git+https://github.com/Xuwznln/pylabrobot.git"}
+        # 中文 locale 下走 Gitee 镜像，规避 GitHub 拉取失败
+        pylabrobot_url = (
+            "git+https://gitee.com/xuwznln/pylabrobot.git"
+            if _is_chinese_locale()
+            else "git+https://github.com/Xuwznln/pylabrobot.git"
+        )
+        self.special_packages = {"pylabrobot": pylabrobot_url}
 
         self.version_requirements = {
             "msgcenterpy": "0.1.8",

unilabos/utils/import_manager.py

@@ -206,6 +206,7 @@ class ImportManager:
             "ast_analysis_success": False,
             "import_map": {},
             "init_params": [],
+            "init_docstring": None,
             "status_methods": {},
             "action_methods": {},
         }
@@ -251,6 +252,7 @@ class ImportManager:
 
         # 映射到统一字段名（与 registry.py complete_registry 消费端一致）
         result["init_params"] = body.get("init_params", [])
+        result["init_docstring"] = body.get("init_docstring")
         result["status_methods"] = body.get("status_properties", {})
         result["action_methods"] = {
             k: {

unilabos/workflow/from_python_script.py

@@ -0,0 +1,241 @@
+import ast
+import json
+from typing import Dict, List, Any, Tuple, Optional
+
+from .common import WorkflowGraph, RegistryAdapter
+
+Json = Dict[str, Any]
+
+# ---------------- Converter ----------------
+
+class DeviceMethodConverter:
+    """
+    - 字段统一：resource_name（原 device_class）、template_name（原 action_key）
+    - params 单层；inputs 使用 'params.' 前缀
+    - SimpleGraph.add_workflow_node 负责变量连线与边
+    """
+    def __init__(self, device_registry: Optional[Dict[str, Any]] = None):
+        self.graph = WorkflowGraph()
+        self.variable_sources: Dict[str, Dict[str, Any]] = {}        # var -> {node_id, output_name}
+        self.instance_to_resource: Dict[str, Optional[str]] = {}     # 实例名 -> resource_name
+        self.node_id_counter: int = 0
+        self.registry = RegistryAdapter(device_registry or {})
+
+    # ---- helpers ----
+    def _new_node_id(self) -> int:
+        nid = self.node_id_counter
+        self.node_id_counter += 1
+        return nid
+
+    def _assign_targets(self, targets) -> List[str]:
+        names: List[str] = []
+        import ast
+        if isinstance(targets, ast.Tuple):
+            for elt in targets.elts:
+                if isinstance(elt, ast.Name):
+                    names.append(elt.id)
+        elif isinstance(targets, ast.Name):
+            names.append(targets.id)
+        return names
+
+    def _extract_device_instantiation(self, node) -> Optional[Tuple[str, str]]:
+        import ast
+        if not isinstance(node.value, ast.Call):
+            return None
+        callee = node.value.func
+        if isinstance(callee, ast.Name):
+            class_name = callee.id
+        elif isinstance(callee, ast.Attribute) and isinstance(callee.value, ast.Name):
+            class_name = callee.attr
+        else:
+            return None
+        if isinstance(node.targets[0], ast.Name):
+            instance = node.targets[0].id
+            return instance, class_name
+        return None
+
+    def _extract_call(self, call) -> Tuple[str, str, Dict[str, Any], str]:
+        import ast
+        owner_name, method_name, call_kind = "", "", "func"
+        if isinstance(call.func, ast.Attribute):
+            method_name = call.func.attr
+            if isinstance(call.func.value, ast.Name):
+                owner_name = call.func.value.id
+                call_kind = "instance" if owner_name in self.instance_to_resource else "class_or_module"
+            elif isinstance(call.func.value, ast.Attribute) and isinstance(call.func.value.value, ast.Name):
+                owner_name = call.func.value.attr
+                call_kind = "class_or_module"
+        elif isinstance(call.func, ast.Name):
+            method_name = call.func.id
+            call_kind = "func"
+
+        def pack(node):
+            if isinstance(node, ast.Name):
+                return {"type": "variable", "value": node.id}
+            if isinstance(node, ast.Constant):
+                return {"type": "constant", "value": node.value}
+            if isinstance(node, ast.Dict):
+                return {"type": "dict", "value": self._parse_dict(node)}
+            if isinstance(node, ast.List):
+                return {"type": "list", "value": self._parse_list(node)}
+            return {"type": "raw", "value": ast.unparse(node) if hasattr(ast, "unparse") else str(node)}
+
+        args: Dict[str, Any] = {}
+        pos: List[Any] = []
+        for a in call.args:
+            pos.append(pack(a))
+        for kw in call.keywords:
+            args[kw.arg] = pack(kw.value)
+        if pos:
+            args["_positional"] = pos
+        return owner_name, method_name, args, call_kind
+
+    def _parse_dict(self, node) -> Dict[str, Any]:
+        import ast
+        out: Dict[str, Any] = {}
+        for k, v in zip(node.keys, node.values):
+            if isinstance(k, ast.Constant):
+                key = str(k.value)
+                if isinstance(v, ast.Name):
+                    out[key] = f"var:{v.id}"
+                elif isinstance(v, ast.Constant):
+                    out[key] = v.value
+                elif isinstance(v, ast.Dict):
+                    out[key] = self._parse_dict(v)
+                elif isinstance(v, ast.List):
+                    out[key] = self._parse_list(v)
+        return out
+
+    def _parse_list(self, node) -> List[Any]:
+        import ast
+        out: List[Any] = []
+        for elt in node.elts:
+            if isinstance(elt, ast.Name):
+                out.append(f"var:{elt.id}")
+            elif isinstance(elt, ast.Constant):
+                out.append(elt.value)
+            elif isinstance(elt, ast.Dict):
+                out.append(self._parse_dict(elt))
+            elif isinstance(elt, ast.List):
+                out.append(self._parse_list(elt))
+        return out
+
+    def _normalize_var_tokens(self, x: Any) -> Any:
+        if isinstance(x, str) and x.startswith("var:"):
+            return {"__var__": x[4:]}
+        if isinstance(x, list):
+            return [self._normalize_var_tokens(i) for i in x]
+        if isinstance(x, dict):
+            return {k: self._normalize_var_tokens(v) for k, v in x.items()}
+        return x
+
+    def _make_params_payload(self, resource_name: Optional[str], template_name: str, call_args: Dict[str, Any]) -> Dict[str, Any]:
+        input_keys = self.registry.get_action_input_keys(resource_name, template_name) if resource_name else []
+        defaults = self.registry.get_action_goal_default(resource_name, template_name) if resource_name else {}
+        params: Dict[str, Any] = dict(defaults)
+
+        def unpack(p):
+            t, v = p.get("type"), p.get("value")
+            if t == "variable":
+                return {"__var__": v}
+            if t == "dict":
+                return self._normalize_var_tokens(v)
+            if t == "list":
+                return self._normalize_var_tokens(v)
+            return v
+
+        for k, p in call_args.items():
+            if k == "_positional":
+                continue
+            params[k] = unpack(p)
+
+        pos = call_args.get("_positional", [])
+        if pos:
+            if input_keys:
+                for i, p in enumerate(pos):
+                    if i >= len(input_keys):
+                        break
+                    name = input_keys[i]
+                    if name in params:
+                        continue
+                    params[name] = unpack(p)
+            else:
+                for i, p in enumerate(pos):
+                    params[f"arg_{i}"] = unpack(p)
+        return params
+
+    # ---- handlers ----
+    def _on_assign(self, stmt):
+        import ast
+        inst = self._extract_device_instantiation(stmt)
+        if inst:
+            instance, code_class = inst
+            resource_name = self.registry.resolve_resource_by_classname(code_class)
+            self.instance_to_resource[instance] = resource_name
+            return
+
+        if isinstance(stmt.value, ast.Call):
+            owner, method, call_args, kind = self._extract_call(stmt.value)
+            if kind == "instance":
+                device_key = owner
+                resource_name = self.instance_to_resource.get(owner)
+            else:
+                device_key = owner
+                resource_name = self.registry.resolve_resource_by_classname(owner)
+
+            module = self.registry.get_device_module(resource_name)
+            params = self._make_params_payload(resource_name, method, call_args)
+
+            nid = self._new_node_id()
+            self.graph.add_workflow_node(
+                nid,
+                device_key=device_key,
+                resource_name=resource_name,      # ✅
+                module=module,
+                template_name=method,             # ✅
+                params=params,
+                variable_sources=self.variable_sources,
+                add_ready_if_no_vars=True,
+                prev_node_id=(nid - 1) if nid > 0 else None,
+            )
+
+            out_vars = self._assign_targets(stmt.targets[0])
+            for var in out_vars:
+                self.variable_sources[var] = {"node_id": nid, "output_name": "result"}
+
+    def _on_expr(self, stmt):
+        import ast
+        if not isinstance(stmt.value, ast.Call):
+            return
+        owner, method, call_args, kind = self._extract_call(stmt.value)
+        if kind == "instance":
+            device_key = owner
+            resource_name = self.instance_to_resource.get(owner)
+        else:
+            device_key = owner
+            resource_name = self.registry.resolve_resource_by_classname(owner)
+
+        module = self.registry.get_device_module(resource_name)
+        params = self._make_params_payload(resource_name, method, call_args)
+
+        nid = self._new_node_id()
+        self.graph.add_workflow_node(
+            nid,
+            device_key=device_key,
+            resource_name=resource_name,      # ✅
+            module=module,
+            template_name=method,             # ✅
+            params=params,
+            variable_sources=self.variable_sources,
+            add_ready_if_no_vars=True,
+            prev_node_id=(nid - 1) if nid > 0 else None,
+        )
+
+    def convert(self, python_code: str):
+        tree = ast.parse(python_code)
+        for stmt in tree.body:
+            if isinstance(stmt, ast.Assign):
+                self._on_assign(stmt)
+            elif isinstance(stmt, ast.Expr):
+                self._on_expr(stmt)
+        return self

unilabos/workflow/from_xdl.py

@@ -0,0 +1,131 @@
+from typing import List, Any, Dict
+import xml.etree.ElementTree as ET
+
+
+def convert_to_type(val: str) -> Any:
+    """将字符串值转换为适当的数据类型"""
+    if val == "True":
+        return True
+    if val == "False":
+        return False
+    if val == "?":
+        return None
+    if val.endswith(" g"):
+        return float(val.split(" ")[0])
+    if val.endswith("mg"):
+        return float(val.split("mg")[0])
+    elif val.endswith("mmol"):
+        return float(val.split("mmol")[0]) / 1000
+    elif val.endswith("mol"):
+        return float(val.split("mol")[0])
+    elif val.endswith("ml"):
+        return float(val.split("ml")[0])
+    elif val.endswith("RPM"):
+        return float(val.split("RPM")[0])
+    elif val.endswith(" °C"):
+        return float(val.split(" ")[0])
+    elif val.endswith(" %"):
+        return float(val.split(" ")[0])
+    return val
+
+
+def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
+    """展平嵌套的XDL程序结构"""
+    flattened_operations = []
+    TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
+
+    def extract_operations(element: ET.Element):
+        if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
+            if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
+                flattened_operations.append(element)
+
+        for child in element:
+            extract_operations(child)
+
+    for child in procedure_elem:
+        extract_operations(child)
+
+    return flattened_operations
+
+
+def parse_xdl_content(xdl_content: str) -> tuple:
+    """解析XDL内容"""
+    try:
+        xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
+        root = ET.fromstring(xdl_content_cleaned)
+
+        synthesis_elem = root.find("Synthesis")
+        if synthesis_elem is None:
+            return None, None, None
+
+        # 解析硬件组件
+        hardware_elem = synthesis_elem.find("Hardware")
+        hardware = []
+        if hardware_elem is not None:
+            hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
+
+        # 解析试剂
+        reagents_elem = synthesis_elem.find("Reagents")
+        reagents = []
+        if reagents_elem is not None:
+            reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
+
+        # 解析程序
+        procedure_elem = synthesis_elem.find("Procedure")
+        if procedure_elem is None:
+            return None, None, None
+
+        flattened_operations = flatten_xdl_procedure(procedure_elem)
+        return hardware, reagents, flattened_operations
+
+    except ET.ParseError as e:
+        raise ValueError(f"Invalid XDL format: {e}")
+
+
+def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
+    """
+    将XDL XML格式转换为标准的字典格式
+
+    Args:
+        xdl_content: XDL XML内容
+
+    Returns:
+        转换结果，包含步骤和器材信息
+    """
+    try:
+        hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
+        if hardware is None:
+            return {"error": "Failed to parse XDL content", "success": False}
+
+        # 将XDL元素转换为字典格式
+        steps_data = []
+        for elem in flattened_operations:
+            # 转换参数类型
+            parameters = {}
+            for key, val in elem.attrib.items():
+                converted_val = convert_to_type(val)
+                if converted_val is not None:
+                    parameters[key] = converted_val
+
+            step_dict = {
+                "operation": elem.tag,
+                "parameters": parameters,
+                "description": elem.get("purpose", f"Operation: {elem.tag}"),
+            }
+            steps_data.append(step_dict)
+
+        # 合并硬件和试剂为统一的labware_info格式
+        labware_data = []
+        labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
+        labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
+
+        return {
+            "success": True,
+            "steps": steps_data,
+            "labware": labware_data,
+            "message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
+        }
+
+    except Exception as e:
+        error_msg = f"XDL conversion failed: {str(e)}"
+        return {"error": error_msg, "success": False}

unilabos_msgs/package.xml

@@ -2,7 +2,7 @@
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
   <name>unilabos_msgs</name>
-  <version>0.11.0</version>
+  <version>0.11.3</version>
   <description>ROS2 Messages package for unilabos devices</description>
   <maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
   <maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>