refactor: 深度精简4个协议编译器的装饰性日志 (-335行)

dissolve, pump, stir, adjustph: 移除emoji分隔线、步骤播报、
逐字段参数dump等纯装饰性log，保留错误/警告/关键决策日志。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.conda/base/recipe.yaml

@@ -0,0 +1,62 @@
+# unilabos: Production package (depends on unilabos-env + pip unilabos)
+# For production deployment
+
+package:
+  name: unilabos
+  version: 0.10.19
+
+source:
+  path: ../../unilabos
+  target_directory: unilabos
+
+build:
+  python:
+    entry_points:
+    - unilab = unilabos.app.main:main
+  script:
+  - set PIP_NO_INDEX=
+  - if: win
+    then:
+    - copy %RECIPE_DIR%\..\..\MANIFEST.in %SRC_DIR%
+    - copy %RECIPE_DIR%\..\..\setup.cfg %SRC_DIR%
+    - copy %RECIPE_DIR%\..\..\setup.py %SRC_DIR%
+    - pip install %SRC_DIR%
+  - if: unix
+    then:
+    - cp $RECIPE_DIR/../../MANIFEST.in $SRC_DIR
+    - cp $RECIPE_DIR/../../setup.cfg $SRC_DIR
+    - cp $RECIPE_DIR/../../setup.py $SRC_DIR
+    - pip install $SRC_DIR
+
+requirements:
+  host:
+  - python ==3.11.14
+  - pip
+  - setuptools
+  - zstd
+  - zstandard
+  run:
+  - zstd
+  - zstandard
+  - networkx
+  - typing_extensions
+  - websockets
+  - pint
+  - fastapi
+  - jinja2
+  - requests
+  - uvicorn
+  - if: not osx
+    then:
+    - opcua
+  - pyserial
+  - pandas
+  - pymodbus
+  - matplotlib
+  - pylibftdi
+  - uni-lab::unilabos-env ==0.10.19
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS - Production package with minimal ROS2 dependencies"

.conda/environment/recipe.yaml

@@ -0,0 +1,39 @@
+# unilabos-env: conda environment dependencies (ROS2 + conda packages)
+
+package:
+  name: unilabos-env
+  version: 0.10.19
+
+build:
+  noarch: generic
+
+requirements:
+  run:
+  # Python
+  - zstd
+  - zstandard
+  - conda-forge::python ==3.11.14
+  - conda-forge::opencv
+  # ROS2 dependencies (from ci-check.yml)
+  - 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
+  - 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
+  - conda-forge::uv
+
+  # UniLabOS custom messages
+  - uni-lab::ros-humble-unilabos-msgs
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS Environment - ROS2 and conda dependencies"

.conda/full/recipe.yaml

@@ -0,0 +1,42 @@
+# unilabos-full: Full package with all features
+# Depends on unilabos + complete ROS2 desktop + dev tools
+
+package:
+  name: unilabos-full
+  version: 0.10.19
+
+build:
+  noarch: generic
+
+requirements:
+  run:
+  # Base unilabos package (includes unilabos-env)
+  - uni-lab::unilabos ==0.10.19
+  # Documentation tools
+  - sphinx
+  - sphinx_rtd_theme
+  # Web UI
+  - gradio
+  - flask
+  # Interactive development
+  - ipython
+  - jupyter
+  - jupyros
+  - colcon-common-extensions
+  # ROS2 full desktop (includes rviz2, gazebo, etc.)
+  - robostack-staging::ros-humble-desktop-full
+  # Navigation and motion control
+  - ros-humble-navigation2
+  - ros-humble-ros2-control
+  - ros-humble-robot-state-publisher
+  - ros-humble-joint-state-publisher
+  # MoveIt motion planning
+  - ros-humble-moveit
+  - ros-humble-moveit-servo
+  # Simulation
+  - ros-humble-simulation
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS Full - Complete package with ROS2 Desktop, MoveIt, Navigation2, Gazebo, Jupyter"

.conda/recipe.yaml

@@ -1,92 +0,0 @@
-package:
-  name: unilabos
-  version: 0.10.10
-
-source:
-  path: ../unilabos
-  target_directory: unilabos
-
-build:
-  python:
-    entry_points:
-     - unilab = unilabos.app.main:main
-  script:
-  - set PIP_NO_INDEX=
-  - if: win
-    then:
-    - copy %RECIPE_DIR%\..\MANIFEST.in %SRC_DIR%
-    - copy %RECIPE_DIR%\..\setup.cfg %SRC_DIR%
-    - copy %RECIPE_DIR%\..\setup.py %SRC_DIR%
-    - call %PYTHON% -m pip install %SRC_DIR%
-  - if: unix
-    then:
-    - cp $RECIPE_DIR/../MANIFEST.in $SRC_DIR
-    - cp $RECIPE_DIR/../setup.cfg $SRC_DIR
-    - cp $RECIPE_DIR/../setup.py $SRC_DIR
-    - $PYTHON -m pip install $SRC_DIR
-
-
-requirements:
-  host:
-  - python ==3.11.11
-  - pip
-  - setuptools
-  - zstd
-  - zstandard
-  run:
-  - conda-forge::python ==3.11.11
-  - compilers
-  - cmake
-  - zstd
-  - zstandard
-  - ninja
-  - if: unix
-    then:
-    - make
-  - sphinx
-  - sphinx_rtd_theme
-  - numpy
-  - scipy
-  - pandas
-  - networkx
-  - matplotlib
-  - pint
-  - pyserial
-  - pyusb
-  - pylibftdi
-  - pymodbus
-  - python-can
-  - pyvisa
-  - opencv
-  - pydantic
-  - fastapi
-  - uvicorn
-  - gradio
-  - flask
-  - websockets
-  - ipython
-  - jupyter
-  - jupyros
-  - colcon-common-extensions
-  - robostack-staging::ros-humble-desktop-full
-  - robostack-staging::ros-humble-control-msgs
-  - robostack-staging::ros-humble-sensor-msgs
-  - robostack-staging::ros-humble-trajectory-msgs
-  - ros-humble-navigation2
-  - ros-humble-ros2-control
-  - ros-humble-robot-state-publisher
-  - ros-humble-joint-state-publisher
-  - ros-humble-rosbridge-server
-  - ros-humble-cv-bridge
-  - ros-humble-tf2
-  - ros-humble-moveit
-  - ros-humble-moveit-servo
-  - ros-humble-simulation
-  - ros-humble-tf-transformations
-  - transforms3d
-  - uni-lab::ros-humble-unilabos-msgs
-
-about:
-  repository: https://github.com/dptech-corp/Uni-Lab-OS
-  license: GPL-3.0-only
-  description: "Uni-Lab-OS"

.conda/scripts/post-link.bat

@@ -1,9 +0,0 @@
-@echo off
-setlocal enabledelayedexpansion
-
-REM upgrade pip
-"%PREFIX%\python.exe" -m pip install --upgrade pip
-
-REM install extra deps
-"%PREFIX%\python.exe" -m pip install paho-mqtt opentrons_shared_data
-"%PREFIX%\python.exe" -m pip install git+https://github.com/Xuwznln/pylabrobot.git

.conda/scripts/post-link.sh

@@ -1,9 +0,0 @@
-#!/usr/bin/env bash
-set -euxo pipefail
-
-# make sure pip is available
-"$PREFIX/bin/python" -m pip install --upgrade pip
-
-# install extra deps
-"$PREFIX/bin/python" -m pip install paho-mqtt opentrons_shared_data
-"$PREFIX/bin/python" -m pip install git+https://github.com/Xuwznln/pylabrobot.git

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

@@ -0,0 +1,160 @@
+---
+name: add-device
+description: Guide for adding new devices to Uni-Lab-OS (接入新设备). Uses @device decorator + AST auto-scanning instead of manual YAML. Walks through device category, communication protocol, driver creation with decorators, and graph file setup. Use when the user wants to add/integrate a new device, create a device driver, write a device class, or mentions 接入设备/添加设备/设备驱动/物模型.
+---
+
+# 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。
+
+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。
+
+---
+
+## 装饰器参考
+
+### @device — 设备类装饰器
+
+```python
+from unilabos.registry.decorators import device
+
+# 单设备
+@device(
+    id="my_device.vendor",           # 注册表唯一标识（必填）
+    category=["temperature"],         # 分类标签列表（必填）
+    description="设备描述",            # 设备描述
+    display_name="显示名称",           # UI 显示名称（默认用 id）
+    icon="DeviceIcon.webp",           # 图标文件名
+    version="1.0.0",                  # 版本号
+    device_type="python",             # "python" 或 "ros2"
+    handles=[...],                    # 端口列表（InputHandle / OutputHandle）
+    model={...},                      # 3D 模型配置
+    hardware_interface=HardwareInterface(...),  # 硬件通信接口
+)
+
+# 多设备（同一个类注册多个设备 ID，各自有不同的 handles 等配置）
+@device(
+    ids=["pump.vendor.model_A", "pump.vendor.model_B"],
+    id_meta={
+        "pump.vendor.model_A": {"handles": [...], "description": "型号 A"},
+        "pump.vendor.model_B": {"handles": [...], "description": "型号 B"},
+    },
+    category=["pump_and_valve"],
+)
+```
+
+### @action — 动作方法装饰器
+
+```python
+from unilabos.registry.decorators import action
+
+@action                              # 无参：注册为 UniLabJsonCommand 动作
+@action()                            # 同上
+@action(description="执行操作")       # 带描述
+@action(
+    action_type=HeatChill,           # 指定 ROS Action 消息类型
+    goal={"temperature": "temp"},    # Goal 字段映射
+    feedback={},                     # Feedback 字段映射
+    result={},                       # Result 字段映射
+    handles=[...],                   # 动作级别端口
+    goal_default={"temp": 25.0},     # Goal 默认值
+    placeholder_keys={...},          # 参数占位符
+    always_free=True,                # 不受排队限制
+    auto_prefix=True,                # 强制使用 auto- 前缀
+    parent=True,                     # 从父类 MRO 获取参数签名
+)
+```
+
+**自动识别规则：**
+- 带 `@action` 的公开方法 → 注册为动作（方法名即动作名）
+- **不带 `@action` 的公开方法** → 自动注册为 `auto-{方法名}` 动作
+- `_` 开头的方法 → 不扫描
+- `@not_action` 标记的方法 → 排除
+
+### @topic_config — 状态属性配置
+
+```python
+from unilabos.registry.decorators import topic_config
+
+@property
+@topic_config(
+    period=5.0,            # 发布周期（秒），默认 5.0
+    print_publish=False,   # 是否打印发布日志
+    qos=10,                # QoS 深度，默认 10
+    name="custom_name",    # 自定义发布名称（默认用属性名）
+)
+def temperature(self) -> float:
+    return self.data.get("temperature", 0.0)
+```
+
+### 辅助装饰器
+
+```python
+from unilabos.registry.decorators import not_action, always_free
+
+@not_action          # 标记为非动作（post_init、辅助方法等）
+@always_free         # 标记为不受排队限制（查询类操作）
+```
+
+---
+
+## 设备模板
+
+```python
+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
+
+@device(id="my_device", category=["my_category"], description="设备描述")
+class MyDevice:
+    _ros_node: BaseROS2DeviceNode
+
+    def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
+        self.device_id = device_id or "my_device"
+        self.config = config or {}
+        self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
+        self.data: Dict[str, Any] = {"status": "Idle"}
+
+    @not_action
+    def post_init(self, ros_node: BaseROS2DeviceNode) -> None:
+        self._ros_node = ros_node
+
+    @action
+    async def initialize(self) -> bool:
+        self.data["status"] = "Ready"
+        return True
+
+    @action
+    async def cleanup(self) -> bool:
+        self.data["status"] = "Offline"
+        return True
+
+    @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"""
+        return {"success": True}
+
+    def get_info(self) -> Dict[str, Any]:
+        """无 @action → 自动注册为 'auto-get_info' 动作"""
+        return {"device_id": self.device_id}
+
+    @property
+    @topic_config()
+    def status(self) -> str:
+        return self.data.get("status", "Idle")
+
+    @property
+    @topic_config(period=2.0)
+    def temperature(self) -> float:
+        return self.data.get("temperature", 0.0)
+```
+
+### 要点
+
+- `_ros_node: BaseROS2DeviceNode` 类型标注放在类体顶部
+- `__init__` 签名固定为 `(self, device_id=None, config=None, **kwargs)`
+- `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

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

@@ -0,0 +1,351 @@
+---
+name: add-resource
+description: Guide for adding new resources (materials, bottles, carriers, decks, warehouses) to Uni-Lab-OS (添加新物料/资源). Uses @resource decorator for AST auto-scanning. Covers Bottle, Carrier, Deck, WareHouse definitions. Use when the user wants to add resources, define materials, create a deck layout, add bottles/carriers/plates, or mentions 物料/资源/resource/bottle/carrier/deck/plate/warehouse.
+---
+
+# 添加新物料资源
+
+Uni-Lab-OS 的资源体系基于 PyLabRobot，通过扩展实现 Bottle、Carrier、WareHouse、Deck 等实验室物料管理。使用 `@resource` 装饰器注册，AST 自动扫描生成注册表条目。
+
+---
+
+## 资源类型
+
+| 类型 | 基类 | 用途 | 示例 |
+|------|------|------|------|
+| **Bottle** | `Well` (PyLabRobot) | 单个容器（瓶、小瓶、烧杯、反应器） | 试剂瓶、粉末瓶 |
+| **BottleCarrier** | `ItemizedCarrier` | 多槽位载架（放多个 Bottle） | 6 位试剂架、枪头盒 |
+| **WareHouse** | `ItemizedCarrier` | 堆栈/仓库（放多个 Carrier） | 4x4 堆栈 |
+| **Deck** | `Deck` (PyLabRobot) | 工作站台面（放多个 WareHouse） | 反应站 Deck |
+
+**层级关系：** `Deck` → `WareHouse` → `BottleCarrier` → `Bottle`
+
+WareHouse 本质上和 Site 是同一概念 — 都是定义一组固定的放置位（slot），只不过 WareHouse 多嵌套了一层 Deck。两者都需要开发者根据实际物理尺寸自行计算各 slot 的偏移坐标。
+
+---
+
+## @resource 装饰器
+
+```python
+from unilabos.registry.decorators import resource
+
+@resource(
+    id="my_resource_id",        # 注册表唯一标识（必填）
+    category=["bottles"],       # 分类标签列表（必填）
+    description="资源描述",
+    icon="",                    # 图标
+    version="1.0.0",
+    handles=[...],              # 端口列表（InputHandle / OutputHandle）
+    model={...},                # 3D 模型配置
+    class_type="pylabrobot",    # "python" / "pylabrobot" / "unilabos"
+)
+```
+
+---
+
+## 创建规范
+
+### 命名规则
+
+1. **`name` 参数作为前缀**：所有工厂函数必须接受 `name: str` 参数，创建子物料时以 `name` 作为前缀，确保实例名在运行时全局唯一
+2. **Bottle 命名约定**：试剂瓶-Bottle，烧杯-Beaker，烧瓶-Flask，小瓶-Vial
+3. **函数名 = `@resource(id=...)`**：工厂函数名与注册表 id 保持一致
+
+### 子物料命名示例
+
+```python
+# Carrier 内部的 sites 用 name 前缀
+for k, v in sites.items():
+    v.name = f"{name}_{v.name}"     # "堆栈1左_A01", "堆栈1左_B02" ...
+
+# Carrier 中放置 Bottle 时用 name 前缀
+carrier[0] = My_Reagent_Bottle(f"{name}_flask_1")    # "堆栈1左_flask_1"
+carrier[i] = My_Solid_Vial(f"{name}_vial_{ordering[i]}")  # "堆栈1左_vial_A1"
+
+# create_homogeneous_resources 使用 name_prefix
+sites=create_homogeneous_resources(
+    klass=ResourceHolder,
+    locations=[...],
+    name_prefix=name,  # 自动生成 "{name}_0", "{name}_1" ...
+)
+
+# Deck setup 中用仓库名称作为 name 传入
+self.warehouses = {
+    "堆栈1左": my_warehouse_4x4("堆栈1左"),   # WareHouse.name = "堆栈1左"
+    "试剂堆栈": my_reagent_stack("试剂堆栈"),  # WareHouse.name = "试剂堆栈"
+}
+```
+
+### 其他规范
+
+- **max_volume 单位为 μL**：500mL = 500000
+- **尺寸单位为 mm**：`diameter`, `height`, `size_x/y/z`, `dx/dy/dz`
+- **BottleCarrier 必须设置 `num_items_x/y/z`**：用于前端渲染布局
+- **Deck 的 `__init__` 必须接受 `setup=False`**：图文件中 `config.setup=true` 触发 `setup()`
+- **按项目分组文件**：同一工作站的资源放在 `unilabos/resources/<project>/` 下
+- **`__init__` 必须接受 `serialize()` 输出的所有字段**：`serialize()` 输出会作为 `config` 回传到 `__init__`，因此必须通过显式参数或 `**kwargs` 接受，否则反序列化会报错
+- **持久化运行时状态用 `serialize_state()`**：通过 `_unilabos_state` 字典存储可变信息（如物料内容、液体量），只存 JSON 可序列化的基本类型
+
+---
+
+## 资源模板
+
+### Bottle
+
+```python
+from unilabos.registry.decorators import resource
+from unilabos.resources.itemized_carrier import Bottle
+
+
+@resource(id="My_Reagent_Bottle", category=["bottles"], description="我的试剂瓶")
+def My_Reagent_Bottle(
+    name: str,
+    diameter: float = 70.0,
+    height: float = 120.0,
+    max_volume: float = 500000.0,
+    barcode: str = None,
+) -> Bottle:
+    return Bottle(
+        name=name,
+        diameter=diameter,
+        height=height,
+        max_volume=max_volume,
+        barcode=barcode,
+        model="My_Reagent_Bottle",
+    )
+```
+
+**Bottle 参数：**
+- `name`: 实例名称（运行时唯一，由上层 Carrier 以前缀方式传入）
+- `diameter`: 瓶体直径 (mm)
+- `height`: 瓶体高度 (mm)
+- `max_volume`: 最大容积（**μL**，500mL = 500000）
+- `barcode`: 条形码（可选）
+
+### BottleCarrier
+
+```python
+from pylabrobot.resources import ResourceHolder
+from pylabrobot.resources.carrier import create_ordered_items_2d
+from unilabos.resources.itemized_carrier import BottleCarrier
+from unilabos.registry.decorators import resource
+
+
+@resource(id="My_6SlotCarrier", category=["bottle_carriers"], description="六槽位载架")
+def My_6SlotCarrier(name: str) -> BottleCarrier:
+    sites = create_ordered_items_2d(
+        klass=ResourceHolder,
+        num_items_x=3, num_items_y=2,
+        dx=10.0, dy=10.0, dz=5.0,
+        item_dx=42.0, item_dy=35.0,
+        size_x=20.0, size_y=20.0, size_z=50.0,
+    )
+    # 子 site 用 name 作为前缀
+    for k, v in sites.items():
+        v.name = f"{name}_{v.name}"
+
+    carrier = BottleCarrier(
+        name=name, size_x=146.0, size_y=80.0, size_z=55.0,
+        sites=sites, model="My_6SlotCarrier",
+    )
+    carrier.num_items_x = 3
+    carrier.num_items_y = 2
+    carrier.num_items_z = 1
+
+    # 放置 Bottle 时用 name 作为前缀
+    ordering = ["A1", "B1", "A2", "B2", "A3", "B3"]
+    for i in range(6):
+        carrier[i] = My_Reagent_Bottle(f"{name}_vial_{ordering[i]}")
+    return carrier
+```
+
+### WareHouse / Deck 放置位
+
+WareHouse 和 Site 本质上是同一概念：都是定义一组固定放置位（slot），根据物理尺寸自行批量计算偏移坐标。WareHouse 只是多嵌套了一层 Deck 而已。推荐开发者直接根据实物测量数据计算各 slot 偏移量。
+
+#### WareHouse（使用 warehouse_factory）
+
+```python
+from unilabos.resources.warehouse import warehouse_factory
+from unilabos.registry.decorators import resource
+
+
+@resource(id="my_warehouse_4x4", category=["warehouse"], description="4x4 堆栈仓库")
+def my_warehouse_4x4(name: str) -> "WareHouse":
+    return warehouse_factory(
+        name=name,
+        num_items_x=4, num_items_y=4, num_items_z=1,
+        dx=10.0, dy=10.0, dz=10.0,             # 第一个 slot 的起始偏移
+        item_dx=147.0, item_dy=106.0, item_dz=130.0,  # slot 间距
+        resource_size_x=127.0, resource_size_y=85.0, resource_size_z=100.0,  # slot 尺寸
+        model="my_warehouse_4x4",
+        col_offset=0,       # 列标签起始偏移（0 → A01, 4 → A05）
+        layout="row-major",  # "row-major" 行优先 / "col-major" 列优先 / "vertical-col-major" 竖向
+    )
+```
+
+`warehouse_factory` 参数说明：
+- `dx/dy/dz`：第一个 slot 相对 WareHouse 原点的偏移（mm）
+- `item_dx/item_dy/item_dz`：相邻 slot 间距（mm），需根据实际物理间距测量
+- `resource_size_x/y/z`：每个 slot 的可放置区域尺寸
+- `layout`：影响 slot 标签和坐标映射
+  - `"row-major"`：A01,A02,...,B01,B02,...（行优先，适合横向排列）
+  - `"col-major"`：A01,B01,...,A02,B02,...（列优先）
+  - `"vertical-col-major"`：竖向排列，y 坐标反向
+
+#### Deck 组装 WareHouse
+
+Deck 通过 `setup()` 将多个 WareHouse 放置到指定坐标：
+
+```python
+from pylabrobot.resources import Deck, Coordinate
+from unilabos.registry.decorators import resource
+
+
+@resource(id="MyStation_Deck", category=["deck"], description="我的工作站 Deck")
+class MyStation_Deck(Deck):
+    def __init__(self, name="MyStation_Deck", size_x=2700.0, size_y=1080.0, size_z=1500.0,
+                 category="deck", setup=False, **kwargs) -> None:
+        super().__init__(name=name, size_x=size_x, size_y=size_y, size_z=size_z)
+        if setup:
+            self.setup()
+
+    def setup(self) -> None:
+        self.warehouses = {
+            "堆栈1左": my_warehouse_4x4("堆栈1左"),
+            "堆栈1右": my_warehouse_4x4("堆栈1右"),
+        }
+        self.warehouse_locations = {
+            "堆栈1左": Coordinate(-200.0, 400.0, 0.0),  # 自行测量计算
+            "堆栈1右": Coordinate(2350.0, 400.0, 0.0),
+        }
+        for wh_name, wh in self.warehouses.items():
+            self.assign_child_resource(wh, location=self.warehouse_locations[wh_name])
+```
+
+#### Site 模式（前端定向放置）
+
+适用于有固定孔位/槽位的设备（如移液站 PRCXI 9300），Deck 通过 `sites` 列表定义前端展示的放置位，前端据此渲染可拖拽的孔位布局：
+
+```python
+import collections
+from typing import Any, Dict, List, Optional
+from pylabrobot.resources import Deck, Resource, Coordinate
+from unilabos.registry.decorators import resource
+
+
+@resource(id="MyLabDeck", category=["deck"], description="带 Site 定向放置的 Deck")
+class MyLabDeck(Deck):
+    # 根据设备台面实测批量计算各 slot 坐标偏移
+    _DEFAULT_SITE_POSITIONS = [
+        (0, 0, 0), (138, 0, 0), (276, 0, 0), (414, 0, 0),       # T1-T4
+        (0, 96, 0), (138, 96, 0), (276, 96, 0), (414, 96, 0),   # T5-T8
+    ]
+    _DEFAULT_SITE_SIZE = {"width": 128.0, "height": 86.0, "depth": 0}
+    _DEFAULT_CONTENT_TYPE = ["plate", "tip_rack", "tube_rack", "adaptor"]
+
+    def __init__(self, name: str, size_x: float, size_y: float, size_z: float,
+                 sites: Optional[List[Dict[str, Any]]] = None, **kwargs):
+        super().__init__(size_x, size_y, size_z, name)
+        if sites is not None:
+            self.sites = [dict(s) for s in sites]
+        else:
+            self.sites = []
+            for i, (x, y, z) in enumerate(self._DEFAULT_SITE_POSITIONS):
+                self.sites.append({
+                    "label": f"T{i + 1}",          # 前端显示的槽位标签
+                    "visible": True,                # 是否在前端可见
+                    "position": {"x": x, "y": y, "z": z},  # 槽位物理坐标
+                    "size": dict(self._DEFAULT_SITE_SIZE),  # 槽位尺寸
+                    "content_type": list(self._DEFAULT_CONTENT_TYPE),  # 允许放入的物料类型
+                })
+        self._ordering = collections.OrderedDict(
+            (site["label"], None) for site in self.sites
+        )
+
+    def assign_child_resource(self, resource: Resource,
+                              location: Optional[Coordinate] = None,
+                              reassign: bool = True,
+                              spot: Optional[int] = None):
+        idx = spot
+        if spot is None:
+            for i, site in enumerate(self.sites):
+                if site.get("label") == resource.name:
+                    idx = i
+                    break
+        if idx is None:
+            for i in range(len(self.sites)):
+                if self._get_site_resource(i) is None:
+                    idx = i
+                    break
+        if idx is None:
+            raise ValueError(f"No available site for '{resource.name}'")
+        loc = Coordinate(**self.sites[idx]["position"])
+        super().assign_child_resource(resource, location=loc, reassign=reassign)
+
+    def serialize(self) -> dict:
+        data = super().serialize()
+        sites_out = []
+        for i, site in enumerate(self.sites):
+            occupied = self._get_site_resource(i)
+            sites_out.append({
+                "label": site["label"],
+                "visible": site.get("visible", True),
+                "occupied_by": occupied.name if occupied else None,
+                "position": site["position"],
+                "size": site["size"],
+                "content_type": site["content_type"],
+            })
+        data["sites"] = sites_out
+        return data
+```
+
+**Site 字段说明：**
+
+| 字段 | 类型 | 说明 |
+|------|------|------|
+| `label` | str | 槽位标签（如 `"T1"`），前端显示名称，也用于匹配 resource.name |
+| `visible` | bool | 是否在前端可见 |
+| `position` | dict | 物理坐标 `{x, y, z}`（mm），需自行测量计算偏移 |
+| `size` | dict | 槽位尺寸 `{width, height, depth}`（mm） |
+| `content_type` | list | 允许放入的物料类型，如 `["plate", "tip_rack", "tube_rack", "adaptor"]` |
+
+**参考实现：** `unilabos/devices/liquid_handling/prcxi/prcxi.py` 中的 `PRCXI9300Deck`（4x4 共 16 个 site）。
+
+---
+
+## 文件位置
+
+```
+unilabos/resources/
+├── <project>/              # 按项目分组
+│   ├── bottles.py          # Bottle 工厂函数
+│   ├── bottle_carriers.py  # Carrier 工厂函数
+│   ├── warehouses.py       # WareHouse 工厂函数
+│   └── decks.py            # Deck 类定义
+```
+
+---
+
+## 验证
+
+```bash
+# 资源可导入
+python -c "from unilabos.resources.my_project.bottles import My_Reagent_Bottle; print(My_Reagent_Bottle('test'))"
+
+# 启动测试（AST 自动扫描）
+unilab -g <graph>.json
+```
+
+仅在以下情况仍需 YAML：第三方库资源（如 pylabrobot 内置资源，无 `@resource` 装饰器）。
+
+---
+
+## 关键路径
+
+| 内容 | 路径 |
+|------|------|
+| Bottle/Carrier 基类 | `unilabos/resources/itemized_carrier.py` |
+| WareHouse 基类 + 工厂 | `unilabos/resources/warehouse.py` |
+| PLR 注册 | `unilabos/resources/plr_additional_res_reg.py` |
+| 装饰器定义 | `unilabos/registry/decorators.py` |

.cursor/skills/add-resource/reference.md

@@ -0,0 +1,292 @@
+# 资源高级参考
+
+本文件是 SKILL.md 的补充，包含类继承体系、序列化/反序列化、Bioyond 物料同步、非瓶类资源和仓库工厂模式。Agent 在需要实现这些功能时按需阅读。
+
+---
+
+## 1. 类继承体系
+
+```
+PyLabRobot
+├── Resource (PLR 基类)
+│   ├── Well
+│   │   └── Bottle (unilabos)        → 瓶/小瓶/烧杯/反应器
+│   ├── Deck
+│   │   └── 自定义 Deck 类 (unilabos) → 工作站台面
+│   ├── ResourceHolder               → 槽位占位符
+│   └── Container
+│       └── Battery (unilabos)       → 组装好的电池
+│
+├── ItemizedCarrier (unilabos, 继承 Resource)
+│   ├── BottleCarrier (unilabos)     → 瓶载架
+│   └── WareHouse (unilabos)         → 堆栈仓库
+│
+├── ItemizedResource (PLR)
+│   └── MagazineHolder (unilabos)    → 子弹夹载架
+│
+└── ResourceStack (PLR)
+    └── Magazine (unilabos)          → 子弹夹洞位
+```
+
+### Bottle 类细节
+
+```python
+class Bottle(Well):
+    def __init__(self, name, diameter, height, max_volume,
+                 size_x=0.0, size_y=0.0, size_z=0.0,
+                 barcode=None, category="container", model=None, **kwargs):
+        super().__init__(
+            name=name,
+            size_x=diameter,    # PLR 用 diameter 作为 size_x/size_y
+            size_y=diameter,
+            size_z=height,      # PLR 用 height 作为 size_z
+            max_volume=max_volume,
+            category=category,
+            model=model,
+            bottom_type="flat",
+            cross_section_type="circle"
+        )
+```
+
+注意 `size_x = size_y = diameter`，`size_z = height`。
+
+### ItemizedCarrier 核心方法
+
+| 方法 | 说明 |
+|------|------|
+| `__getitem__(identifier)` | 通过索引或 Excel 标识（如 `"A01"`）访问槽位 |
+| `__setitem__(identifier, resource)` | 向槽位放入资源 |
+| `get_child_identifier(child)` | 获取子资源的标识符 |
+| `capacity` | 总槽位数 |
+| `sites` | 所有槽位字典 |
+
+---
+
+## 2. 序列化与反序列化
+
+### PLR ↔ UniLab 转换
+
+| 函数 | 位置 | 方向 |
+|------|------|------|
+| `ResourceTreeSet.from_plr_resources(resources)` | `resource_tracker.py` | PLR → UniLab |
+| `ResourceTreeSet.to_plr_resources()` | `resource_tracker.py` | UniLab → PLR |
+
+### `from_plr_resources` 流程
+
+```
+PLR Resource
+    ↓ build_uuid_mapping (递归生成 UUID)
+    ↓ resource.serialize() → dict
+    ↓ resource.serialize_all_state() → states
+    ↓ resource_plr_inner (递归构建 ResourceDictInstance)
+ResourceTreeSet
+```
+
+关键：每个 PLR 资源通过 `unilabos_uuid` 属性携带 UUID，`unilabos_extra` 携带扩展数据（如 `class` 名）。
+
+### `to_plr_resources` 流程
+
+```
+ResourceTreeSet
+    ↓ collect_node_data (收集 UUID、状态、扩展数据)
+    ↓ node_to_plr_dict (转为 PLR 字典格式)
+    ↓ find_subclass(type_name, PLRResource) (查找 PLR 子类)
+    ↓ sub_cls.deserialize(plr_dict) (反序列化)
+    ↓ loop_set_uuid, loop_set_extra (递归设置 UUID 和扩展)
+PLR Resource
+```
+
+### Bottle 序列化
+
+```python
+class Bottle(Well):
+    def serialize(self) -> dict:
+        data = super().serialize()
+        return {**data, "diameter": self.diameter, "height": self.height}
+
+    @classmethod
+    def deserialize(cls, data: dict, allow_marshal=False):
+        barcode_data = data.pop("barcode", None)
+        instance = super().deserialize(data, allow_marshal=allow_marshal)
+        if barcode_data and isinstance(barcode_data, str):
+            instance.barcode = barcode_data
+        return instance
+```
+
+---
+
+## 3. Bioyond 物料同步
+
+### 双向转换函数
+
+| 函数 | 位置 | 方向 |
+|------|------|------|
+| `resource_bioyond_to_plr(materials, type_mapping, deck)` | `graphio.py` | Bioyond → PLR |
+| `resource_plr_to_bioyond(resources, type_mapping, warehouse_mapping)` | `graphio.py` | PLR → Bioyond |
+
+### `resource_bioyond_to_plr` 流程
+
+```
+Bioyond 物料列表
+    ↓ reverse_type_mapping: {typeName → (model, UUID)}
+    ↓ 对每个物料:
+       typeName → 查映射 → model (如 "BIOYOND_PolymerStation_Reactor")
+       initialize_resource({"name": unique_name, "class": model})
+    ↓ 设置 unilabos_extra (material_bioyond_id, material_bioyond_name 等)
+    ↓ 处理 detail (子物料/坐标)
+    ↓ 按 locationName 放入 deck.warehouses 对应槽位
+PLR 资源列表
+```
+
+### `resource_plr_to_bioyond` 流程
+
+```
+PLR 资源列表
+    ↓ 遍历每个资源:
+       载架(capacity > 1): 生成 details 子物料 + 坐标
+       单瓶: 直接映射
+    ↓ type_mapping 查找 typeId
+    ↓ warehouse_mapping 查找位置 UUID
+    ↓ 组装 Bioyond 格式 (name, typeName, typeId, quantity, Parameters, locations)
+Bioyond 物料列表
+```
+
+### BioyondResourceSynchronizer
+
+工作站通过 `ResourceSynchronizer` 自动同步物料：
+
+```python
+class BioyondResourceSynchronizer(ResourceSynchronizer):
+    def sync_from_external(self) -> bool:
+        all_data = []
+        all_data.extend(api_client.stock_material('{"typeMode": 0}'))  # 耗材
+        all_data.extend(api_client.stock_material('{"typeMode": 1}'))  # 样品
+        all_data.extend(api_client.stock_material('{"typeMode": 2}'))  # 试剂
+        unilab_resources = resource_bioyond_to_plr(
+            all_data,
+            type_mapping=self.workstation.bioyond_config["material_type_mappings"],
+            deck=self.workstation.deck
+        )
+        # 更新 deck 上的资源
+```
+
+---
+
+## 4. 非瓶类资源
+
+### ElectrodeSheet（极片）
+
+路径：`unilabos/resources/battery/electrode_sheet.py`
+
+```python
+class ElectrodeSheet(ResourcePLR):
+    """片状材料（极片、隔膜、弹片、垫片等）"""
+    _unilabos_state = {
+        "diameter": 0.0,
+        "thickness": 0.0,
+        "mass": 0.0,
+        "material_type": "",
+        "color": "",
+        "info": "",
+    }
+```
+
+工厂函数：`PositiveCan`, `PositiveElectrode`, `NegativeCan`, `NegativeElectrode`, `SpringWasher`, `FlatWasher`, `AluminumFoil`
+
+### Battery（电池）
+
+```python
+class Battery(Container):
+    """组装好的电池"""
+    _unilabos_state = {
+        "color": "",
+        "electrolyte_name": "",
+        "open_circuit_voltage": 0.0,
+    }
+```
+
+### Magazine / MagazineHolder（子弹夹）
+
+```python
+class Magazine(ResourceStack):
+    """子弹夹洞位，可堆叠 ElectrodeSheet"""
+    # direction, max_sheets
+
+class MagazineHolder(ItemizedResource):
+    """多洞位子弹夹"""
+    # hole_diameter, hole_depth, max_sheets_per_hole
+```
+
+工厂函数 `magazine_factory()` 用 `create_homogeneous_resources` 生成洞位，可选预填 `ElectrodeSheet` 或 `Battery`。
+
+---
+
+## 5. 仓库工厂模式参考
+
+### 实际 warehouse 工厂函数示例
+
+```python
+# 行优先 4x4 仓库
+def bioyond_warehouse_1x4x4(name: str) -> WareHouse:
+    return warehouse_factory(
+        name=name,
+        num_items_x=4, num_items_y=4, num_items_z=1,
+        dx=10.0, dy=10.0, dz=10.0,
+        item_dx=147.0, item_dy=106.0, item_dz=130.0,
+        layout="row-major",  # A01,A02,A03,A04, B01,...
+    )
+
+# 右侧 4x4 仓库（列名偏移）
+def bioyond_warehouse_1x4x4_right(name: str) -> WareHouse:
+    return warehouse_factory(
+        name=name,
+        num_items_x=4, num_items_y=4, num_items_z=1,
+        dx=10.0, dy=10.0, dz=10.0,
+        item_dx=147.0, item_dy=106.0, item_dz=130.0,
+        col_offset=4,      # A05,A06,A07,A08
+        layout="row-major",
+    )
+
+# 竖向仓库（站内试剂存放）
+def bioyond_warehouse_reagent_storage(name: str) -> WareHouse:
+    return warehouse_factory(
+        name=name,
+        num_items_x=1, num_items_y=2, num_items_z=1,
+        dx=10.0, dy=10.0, dz=10.0,
+        item_dx=147.0, item_dy=106.0, item_dz=130.0,
+        layout="vertical-col-major",
+    )
+
+# 行偏移（F 行开始）
+def bioyond_warehouse_5x3x1(name: str, row_offset: int = 0) -> WareHouse:
+    return warehouse_factory(
+        name=name,
+        num_items_x=3, num_items_y=5, num_items_z=1,
+        dx=10.0, dy=10.0, dz=10.0,
+        item_dx=159.0, item_dy=183.0, item_dz=130.0,
+        row_offset=row_offset,  # 0→A行起，5→F行起
+        layout="row-major",
+    )
+```
+
+### layout 类型说明
+
+| layout | 命名顺序 | 适用场景 |
+|--------|---------|---------|
+| `col-major` (默认) | A01,B01,C01,D01, A02,B02,... | 列优先，标准堆栈 |
+| `row-major` | A01,A02,A03,A04, B01,B02,... | 行优先，Bioyond 前端展示 |
+| `vertical-col-major` | 竖向排列，标签从底部开始 | 竖向仓库（试剂存放、测密度） |
+
+---
+
+## 6. 关键路径
+
+| 内容 | 路径 |
+|------|------|
+| Bottle/Carrier 基类 | `unilabos/resources/itemized_carrier.py` |
+| WareHouse 类 + 工厂 | `unilabos/resources/warehouse.py` |
+| ResourceTreeSet 转换 | `unilabos/resources/resource_tracker.py` |
+| Bioyond 物料转换 | `unilabos/resources/graphio.py` |
+| Bioyond 仓库定义 | `unilabos/resources/bioyond/warehouses.py` |
+| 电池资源 | `unilabos/resources/battery/` |
+| PLR 注册 | `unilabos/resources/plr_additional_res_reg.py` |

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

@@ -0,0 +1,626 @@
+---
+name: add-workstation
+description: Guide for adding new workstations to Uni-Lab-OS (接入新工作站). Uses @device decorator + AST auto-scanning. Walks through workstation type, sub-device composition, driver creation, deck setup, and graph file. Use when the user wants to add a workstation, create a workstation driver, configure a station with sub-devices, or mentions 工作站/工站/station/workstation.
+---
+
+# Uni-Lab-OS 工作站接入指南
+
+工作站（workstation）是组合多个子设备的大型设备，拥有独立的物料管理系统和工作流引擎。使用 `@device` 装饰器注册，AST 自动扫描生成注册表。
+
+---
+
+## 工作站类型
+
+| 类型                | 基类              | 适用场景                           |
+| ------------------- | ----------------- | ---------------------------------- |
+| **Protocol 工作站** | `ProtocolNode`    | 标准化学操作协议（泵转移、过滤等） |
+| **外部系统工作站**  | `WorkstationBase` | 与外部 LIMS/MES 对接               |
+| **硬件控制工作站**  | `WorkstationBase` | 直接控制 PLC/硬件                  |
+
+---
+
+## @device 装饰器（工作站）
+
+工作站也使用 `@device` 装饰器注册，参数与普通设备一致：
+
+```python
+@device(
+    id="my_workstation",           # 注册表唯一标识（必填）
+    category=["workstation"],      # 分类标签
+    description="我的工作站",
+)
+```
+
+如果一个工作站类支持多个具体变体，可使用 `ids` / `id_meta`，与设备的用法相同（参见 add-device SKILL）。
+
+---
+
+## 工作站驱动模板
+
+### 模板 A：基于外部系统的工作站
+
+```python
+import logging
+from typing import Dict, Any, Optional
+from pylabrobot.resources import Deck
+
+from unilabos.registry.decorators import device, topic_config, not_action
+from unilabos.devices.workstation.workstation_base import WorkstationBase
+
+try:
+    from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
+except ImportError:
+    ROS2WorkstationNode = None
+
+
+@device(id="my_workstation", category=["workstation"], description="我的工作站")
+class MyWorkstation(WorkstationBase):
+    _ros_node: "ROS2WorkstationNode"
+
+    def __init__(self, config=None, deck=None, protocol_type=None, **kwargs):
+        super().__init__(deck=deck, **kwargs)
+        self.config = config or {}
+        self.logger = logging.getLogger("MyWorkstation")
+        self.api_host = self.config.get("api_host", "")
+        self._status = "Idle"
+
+    @not_action
+    def post_init(self, ros_node: "ROS2WorkstationNode"):
+        super().post_init(ros_node)
+        self._ros_node = ros_node
+
+    async def scheduler_start(self, **kwargs) -> Dict[str, Any]:
+        """注册为工作站动作"""
+        return {"success": True}
+
+    async def create_order(self, json_str: str, **kwargs) -> Dict[str, Any]:
+        """注册为工作站动作"""
+        return {"success": True}
+
+    @property
+    @topic_config()
+    def workflow_sequence(self) -> str:
+        return "[]"
+
+    @property
+    @topic_config()
+    def material_info(self) -> str:
+        return "{}"
+```
+
+### 模板 B：Protocol 工作站
+
+直接使用 `ProtocolNode`，通常不需要自定义驱动类：
+
+```python
+from unilabos.devices.workstation.workstation_base import ProtocolNode
+```
+
+在图文件中配置 `protocol_type` 即可。
+
+---
+
+## 子设备访问（sub_devices）
+
+工站初始化子设备后，所有子设备实例存储在 `self._ros_node.sub_devices` 字典中（key 为设备 id，value 为 `ROS2DeviceNode` 实例）。工站的驱动类可以直接获取子设备实例来调用其方法：
+
+```python
+# 在工站驱动类的方法中访问子设备
+sub = self._ros_node.sub_devices["pump_1"]
+
+# .driver_instance — 子设备的驱动实例（即设备 Python 类的实例）
+sub.driver_instance.some_method(arg1, arg2)
+
+# .ros_node_instance — 子设备的 ROS2 节点实例
+sub.ros_node_instance._action_value_mappings  # 查看子设备支持的 action
+```
+
+**常见用法**：
+
+```python
+class MyWorkstation(WorkstationBase):
+    def my_protocol(self, **kwargs):
+        # 获取子设备驱动实例
+        pump = self._ros_node.sub_devices["pump_1"].driver_instance
+        heater = self._ros_node.sub_devices["heater_1"].driver_instance
+
+        # 直接调用子设备方法
+        pump.aspirate(volume=100)
+        heater.set_temperature(80)
+```
+
+> 参考实现：`unilabos/devices/workstation/bioyond_studio/reaction_station/reaction_station.py` 中通过 `self._ros_node.sub_devices.get(reactor_id)` 获取子反应器实例并更新数据。
+
+---
+
+## 硬件通信接口（hardware_interface）
+
+硬件控制型工作站通常需要通过串口（Serial）、Modbus 等通信协议控制多个子设备。Uni-Lab-OS 通过 **通信设备代理** 机制实现端口共享：一个串口只创建一个 `serial` 节点，多个子设备共享这个通信实例。
+
+### 工作原理
+
+`ROS2WorkstationNode` 初始化时分两轮遍历子设备（`workstation.py`）：
+
+**第一轮 — 初始化所有子设备**：按 `children` 顺序调用 `initialize_device()`，通信设备（`serial_` / `io_` 开头的 id）优先完成初始化，创建 `serial.Serial()` 实例。其他子设备此时 `self.hardware_interface = "serial_pump"`（字符串）。
+
+**第二轮 — 代理替换**：遍历所有已初始化的子设备，读取子设备的 `_hardware_interface` 配置：
+
+```
+hardware_interface = d.ros_node_instance._hardware_interface
+# → {"name": "hardware_interface", "read": "send_command", "write": "send_command"}
+```
+
+1. 取 `name` 字段对应的属性值：`name_value = getattr(driver, hardware_interface["name"])`
+   - 如果 `name_value` 是字符串且该字符串是某个子设备的 id → 触发代理替换
+2. 从通信设备获取真正的 `read`/`write` 方法
+3. 用 `setattr(driver, read_method, _read)` 将通信设备的方法绑定到子设备上
+
+因此：
+
+- **通信设备 id 必须与子设备 config 中填的字符串完全一致**（如 `"serial_pump"`）
+- **通信设备 id 必须以 `serial_` 或 `io_` 开头**（否则第一轮不会被识别为通信设备）
+- **通信设备必须在 `children` 列表中排在最前面**，确保先初始化
+
+### HardwareInterface 参数说明
+
+```python
+from unilabos.registry.decorators import HardwareInterface
+
+HardwareInterface(
+    name="hardware_interface",   # __init__ 中接收通信实例的属性名
+    read="send_command",         # 通信设备上暴露的读方法名
+    write="send_command",        # 通信设备上暴露的写方法名
+    extra_info=["list_ports"],   # 可选：额外暴露的方法
+)
+```
+
+**`name` 字段的含义**：对应设备类 `__init__` 中，用于保存通信实例的**属性名**。系统据此知道要替换哪个属性。大部分设备直接用 `"hardware_interface"`，也可以自定义（如 `"io_device_port"`）。
+
+### 示例 1：泵（name="hardware_interface"）
+
+```python
+from unilabos.registry.decorators import device, HardwareInterface
+
+@device(
+    id="my_pump",
+    category=["pump_and_valve"],
+    hardware_interface=HardwareInterface(
+        name="hardware_interface",
+        read="send_command",
+        write="send_command",
+    ),
+)
+class MyPump:
+    def __init__(self, port=None, address="1", **kwargs):
+        # name="hardware_interface" → 系统替换 self.hardware_interface
+        self.hardware_interface = port  # 初始为字符串 "serial_pump"，启动后被替换为 Serial 实例
+        self.address = address
+
+    def send_command(self, command: str):
+        full_command = f"/{self.address}{command}\r\n"
+        self.hardware_interface.write(bytearray(full_command, "ascii"))
+        return self.hardware_interface.read_until(b"\n")
+```
+
+### 示例 2：电磁阀（name="io_device_port"，自定义属性名）
+
+```python
+@device(
+    id="solenoid_valve",
+    category=["pump_and_valve"],
+    hardware_interface=HardwareInterface(
+        name="io_device_port",       # 自定义属性名 → 系统替换 self.io_device_port
+        read="read_io_coil",
+        write="write_io_coil",
+    ),
+)
+class SolenoidValve:
+    def __init__(self, io_device_port: str = None, **kwargs):
+        # name="io_device_port" → 图文件 config 中用 "io_device_port": "io_board_1"
+        self.io_device_port = io_device_port  # 初始为字符串，系统替换为 Modbus 实例
+```
+
+### Serial 通信设备（class="serial"）
+
+`serial` 是 Uni-Lab-OS 内置的通信代理设备，代码位于 `unilabos/ros/nodes/presets/serial_node.py`：
+
+```python
+from serial import Serial, SerialException
+from threading import Lock
+
+class ROS2SerialNode(BaseROS2DeviceNode):
+    def __init__(self, device_id, registry_name, port: str, baudrate: int = 9600, **kwargs):
+        self.port = port
+        self.baudrate = baudrate
+        self._hardware_interface = {
+            "name": "hardware_interface",
+            "write": "send_command",
+            "read": "read_data",
+        }
+        self._query_lock = Lock()
+
+        self.hardware_interface = Serial(baudrate=baudrate, port=port)
+
+        BaseROS2DeviceNode.__init__(
+            self, driver_instance=self, registry_name=registry_name,
+            device_id=device_id, status_types={}, action_value_mappings={},
+            hardware_interface=self._hardware_interface, print_publish=False,
+        )
+        self.create_service(SerialCommand, "serialwrite", self.handle_serial_request)
+
+    def send_command(self, command: str):
+        with self._query_lock:
+            self.hardware_interface.write(bytearray(f"{command}\n", "ascii"))
+            return self.hardware_interface.read_until(b"\n").decode()
+
+    def read_data(self):
+        with self._query_lock:
+            return self.hardware_interface.read_until(b"\n").decode()
+```
+
+在图文件中使用 `"class": "serial"` 即可创建串口代理：
+
+```json
+{
+  "id": "serial_pump",
+  "class": "serial",
+  "parent": "my_station",
+  "config": { "port": "COM7", "baudrate": 9600 }
+}
+```
+
+### 图文件配置
+
+**通信设备必须在 `children` 列表中排在最前面**，确保先于其他子设备初始化：
+
+```json
+{
+  "nodes": [
+    {
+      "id": "my_station",
+      "class": "workstation",
+      "children": ["serial_pump", "pump_1", "pump_2"],
+      "config": { "protocol_type": ["PumpTransferProtocol"] }
+    },
+    {
+      "id": "serial_pump",
+      "class": "serial",
+      "parent": "my_station",
+      "config": { "port": "COM7", "baudrate": 9600 }
+    },
+    {
+      "id": "pump_1",
+      "class": "syringe_pump_with_valve.runze.SY03B-T08",
+      "parent": "my_station",
+      "config": { "port": "serial_pump", "address": "1", "max_volume": 25.0 }
+    },
+    {
+      "id": "pump_2",
+      "class": "syringe_pump_with_valve.runze.SY03B-T08",
+      "parent": "my_station",
+      "config": { "port": "serial_pump", "address": "2", "max_volume": 25.0 }
+    }
+  ],
+  "links": [
+    {
+      "source": "pump_1",
+      "target": "serial_pump",
+      "type": "communication",
+      "port": { "pump_1": "port", "serial_pump": "port" }
+    },
+    {
+      "source": "pump_2",
+      "target": "serial_pump",
+      "type": "communication",
+      "port": { "pump_2": "port", "serial_pump": "port" }
+    }
+  ]
+}
+```
+
+### 通信协议速查
+
+| 协议                 | config 参数                    | 依赖包     | 通信设备 class             |
+| -------------------- | ------------------------------ | ---------- | -------------------------- |
+| Serial (RS232/RS485) | `port`, `baudrate`             | `pyserial` | `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`                 | stdlib     | 自定义                     |
+| HTTP API             | `url`, `token`                 | `requests` | `device_comms/rpc.py`      |
+
+参考实现：`unilabos/test/experiments/Grignard_flow_batchreact_single_pumpvalve.json`
+
+---
+
+## Deck 与物料生命周期
+
+### 1. Deck 入参与两种初始化模式
+
+系统根据设备节点 `config.deck` 的写法，自动反序列化 Deck 实例后传入 `__init__` 的 `deck` 参数。目前 `deck` 是固定字段名，只支持一个主 Deck。建议一个设备拥有一个台面，台面上抽象二级、三级子物料。
+
+有两种初始化模式：
+
+#### init 初始化（推荐）
+
+`config.deck` 直接包含 `_resource_type` + `_resource_child_name`，系统先用 Deck 节点的 `config` 调用 Deck 类的 `__init__` 反序列化，再将实例传入设备的 `deck` 参数。子物料随 Deck 的 `children` 一起反序列化。
+
+```json
+"config": {
+    "deck": {
+        "_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
+        "_resource_child_name": "PRCXI_Deck"
+    }
+}
+```
+
+#### deserialize 初始化
+
+`config.deck` 用 `data` 包裹一层，系统走 `deserialize` 路径，可传入更多参数（如 `allow_marshal` 等）：
+
+```json
+"config": {
+    "deck": {
+        "data": {
+            "_resource_child_name": "YB_Bioyond_Deck",
+            "_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_YB_Deck"
+        }
+    }
+}
+```
+
+没有特殊需求时推荐 init 初始化。
+
+#### config.deck 字段说明
+
+| 字段 | 说明 |
+|------|------|
+| `_resource_type` | Deck 类的完整模块路径（`module:ClassName`） |
+| `_resource_child_name` | 对应图文件中 Deck 节点的 `id`，建立父子关联 |
+
+#### 设备 __init__ 接收
+
+```python
+def __init__(self, config=None, deck=None, protocol_type=None, **kwargs):
+    super().__init__(deck=deck, **kwargs)
+    # deck 已经是反序列化后的 Deck 实例
+    # → PRCXI9300Deck / BIOYOND_YB_Deck 等
+```
+
+#### Deck 节点（图文件中）
+
+Deck 节点作为设备的 `children` 之一，`parent` 指向设备 id：
+
+```json
+{
+    "id": "PRCXI_Deck",
+    "parent": "PRCXI",
+    "type": "deck",
+    "class": "",
+    "children": [],
+    "config": {
+        "type": "PRCXI9300Deck",
+        "size_x": 542, "size_y": 374, "size_z": 0,
+        "category": "deck",
+        "sites": [...]
+    },
+    "data": {}
+}
+```
+
+- `config` 中的字段会传入 Deck 类的 `__init__`（因此 `__init__` 必须能接受所有 `serialize()` 输出的字段）
+- `children` 初始为空时，由同步器或手动初始化填充
+- `config.type` 填 Deck 类名
+
+### 2. Deck 为空时自行初始化
+
+如果 Deck 节点的 `children` 为空，工作站需在 `post_init` 或首次同步时自行初始化内容：
+
+```python
+@not_action
+def post_init(self, ros_node):
+    super().post_init(ros_node)
+    if self.deck and not self.deck.children:
+        self._initialize_default_deck()
+
+def _initialize_default_deck(self):
+    from my_labware import My_TipRack, My_Plate
+    self.deck.assign_child_resource(My_TipRack("T1"), spot=0)
+    self.deck.assign_child_resource(My_Plate("T2"), spot=1)
+```
+
+### 3. 物料双向同步
+
+当工作站对接外部系统（LIMS/MES）时，需要实现 `ResourceSynchronizer` 处理双向物料同步：
+
+```python
+from unilabos.devices.workstation.workstation_base import ResourceSynchronizer
+
+class MyResourceSynchronizer(ResourceSynchronizer):
+    def sync_from_external(self) -> bool:
+        """从外部系统同步到 self.workstation.deck"""
+        external_data = self._query_external_materials()
+        # 以外部工站为准：根据外部数据反向创建 PLR 资源实例
+        for item in external_data:
+            cls = self._resolve_resource_class(item["type"])
+            resource = cls(name=item["name"], **item["params"])
+            self.workstation.deck.assign_child_resource(resource, spot=item["slot"])
+        return True
+
+    def sync_to_external(self, resource) -> bool:
+        """将 UniLab 侧物料变更同步到外部系统"""
+        # 以 UniLab 为准：将 PLR 资源转为外部格式并推送
+        external_format = self._convert_to_external(resource)
+        return self._push_to_external(external_format)
+
+    def handle_external_change(self, change_info) -> bool:
+        """处理外部系统主动推送的变更"""
+        return True
+```
+
+同步策略取决于业务场景：
+
+- **以外部工站为准**：从外部 API 查询物料数据，反向创建对应的 PLR 资源实例放到 Deck 上
+- **以 UniLab 为准**：UniLab 侧的物料变更通过 `sync_to_external` 推送到外部系统
+
+在工作站 `post_init` 中初始化同步器：
+
+```python
+@not_action
+def post_init(self, ros_node):
+    super().post_init(ros_node)
+    self.resource_synchronizer = MyResourceSynchronizer(self)
+    self.resource_synchronizer.sync_from_external()
+```
+
+### 4. 序列化与持久化（serialize / serialize_state）
+
+资源类需正确实现序列化，系统据此完成持久化和前端同步。
+
+**`serialize()`** — 输出资源的结构信息（`config` 层），反序列化时作为 `__init__` 的入参回传。因此 **`__init__` 必须通过 `**kwargs`接受`serialize()` 输出的所有字段\*\*，即使当前不使用：
+
+```python
+class MyDeck(Deck):
+    def __init__(self, name, size_x, size_y, size_z,
+                 sites=None,          # serialize() 输出的字段
+                 rotation=None,       # serialize() 输出的字段
+                 barcode=None,        # serialize() 输出的字段
+                 **kwargs):           # 兜底：接受所有未知的 serialize 字段
+        super().__init__(size_x, size_y, size_z, name)
+        # ...
+
+    def serialize(self) -> dict:
+        data = super().serialize()
+        data["sites"] = [...]  # 自定义字段
+        return data
+```
+
+**`serialize_state()`** — 输出资源的运行时状态（`data` 层），用于持久化可变信息。`data` 中的内容会被正确保存和恢复：
+
+```python
+class MyPlate(Plate):
+    def __init__(self, name, size_x, size_y, size_z,
+                 material_info=None, **kwargs):
+        super().__init__(name, size_x, size_y, size_z, **kwargs)
+        self._unilabos_state = {}
+        if material_info:
+            self._unilabos_state["Material"] = material_info
+
+    def serialize_state(self) -> Dict[str, Any]:
+        data = super().serialize_state()
+        data.update(self._unilabos_state)
+        return data
+```
+
+关键要点：
+
+- `serialize()` 输出的所有字段都会作为 `config` 回传到 `__init__`，所以 `__init__` 必须能接受它们（显式声明或 `**kwargs`）
+- `serialize_state()` 输出的 `data` 用于持久化运行时状态（如物料信息、液体量等）
+- `_unilabos_state` 中只存可 JSON 序列化的基本类型（str, int, float, bool, list, dict, None）
+
+### 5. 子物料自动同步
+
+子物料（Bottle、Plate、TipRack 等）放到 Deck 上后，系统会自动将其同步到前端的 Deck 视图。只需保证资源类正确实现了 `serialize()` / `serialize_state()` 和反序列化即可。
+
+### 6. 图文件配置（参考 prcxi_9320_slim.json）
+
+```json
+{
+  "nodes": [
+    {
+      "id": "my_station",
+      "type": "device",
+      "class": "my_workstation",
+      "config": {
+        "deck": {
+          "_resource_type": "unilabos.resources.my_module:MyDeck",
+          "_resource_child_name": "my_deck"
+        },
+        "host": "10.20.30.1",
+        "port": 9999
+      }
+    },
+    {
+      "id": "my_deck",
+      "parent": "my_station",
+      "type": "deck",
+      "class": "",
+      "children": [],
+      "config": {
+        "type": "MyLabDeck",
+        "size_x": 542,
+        "size_y": 374,
+        "size_z": 0,
+        "category": "deck",
+        "sites": [
+          {
+            "label": "T1",
+            "visible": true,
+            "occupied_by": null,
+            "position": { "x": 0, "y": 0, "z": 0 },
+            "size": { "width": 128.0, "height": 86, "depth": 0 },
+            "content_type": ["plate", "tip_rack", "tube_rack", "adaptor"]
+          }
+        ]
+      },
+      "data": {}
+    }
+  ],
+  "edges": []
+}
+```
+
+Deck 节点要点：
+
+- `config.type` 填 Deck 类名（如 `"PRCXI9300Deck"`）
+- `config.sites` 完整列出所有 site（从 Deck 类的 `serialize()` 输出获取）
+- `children` 初始为空（由同步器或手动初始化填充）
+- 设备节点 `config.deck._resource_type` 指向 Deck 类的完整模块路径
+
+---
+
+## 子设备
+
+子设备按标准设备接入流程创建（参见 add-device SKILL），使用 `@device` 装饰器。
+
+子设备约束：
+
+- 图文件中 `parent` 指向工作站 ID
+- 在工作站 `children` 数组中列出
+
+---
+
+## 关键规则
+
+1. **`__init__` 必须接受 `deck` 和 `**kwargs`** — `WorkstationBase.**init**`需要`deck` 参数
+2. **Deck 通过 `config.deck._resource_type` 反序列化传入** — 不要在 `__init__` 中手动创建 Deck
+3. **Deck 为空时自行初始化内容** — 在 `post_init` 中检查并填充默认物料
+4. **外部同步实现 `ResourceSynchronizer`** — `sync_from_external` / `sync_to_external`
+5. **通过 `self._children` 访问子设备** — 不要自行维护子设备引用
+6. **`post_init` 中启动后台服务** — 不要在 `__init__` 中启动网络连接
+7. **异步方法使用 `await self._ros_node.sleep()`** — 禁止 `time.sleep()` 和 `asyncio.sleep()`
+8. **使用 `@not_action` 标记非动作方法** — `post_init`, `initialize`, `cleanup`
+9. **子物料保证正确 serialize/deserialize** — 系统自动同步到前端 Deck 视图
+
+---
+
+## 验证
+
+```bash
+# 模块可导入
+python -c "from unilabos.devices.workstation.<name>.<name> import <ClassName>"
+
+# 启动测试（AST 自动扫描）
+unilab -g <graph>.json
+```
+
+---
+
+## 现有工作站参考
+
+| 工作站         | 驱动类                        | 类型     |
+| -------------- | ----------------------------- | -------- |
+| Protocol 通用  | `ProtocolNode`                | Protocol |
+| Bioyond 反应站 | `BioyondReactionStation`      | 外部系统 |
+| 纽扣电池组装   | `CoinCellAssemblyWorkstation` | 硬件控制 |
+
+参考路径：`unilabos/devices/workstation/` 目录下各工作站实现。

.cursor/skills/add-workstation/reference.md

@@ -0,0 +1,371 @@
+# 工作站高级模式参考
+
+本文件是 SKILL.md 的补充，包含外部系统集成、物料同步、配置结构等高级模式。
+Agent 在需要实现这些功能时按需阅读。
+
+---
+
+## 1. 外部系统集成模式
+
+### 1.1 RPC 客户端
+
+与外部 LIMS/MES 系统通信的标准模式。继承 `BaseRequest`，所有接口统一用 POST。
+
+```python
+from unilabos.device_comms.rpc import BaseRequest
+
+
+class MySystemRPC(BaseRequest):
+    """外部系统 RPC 客户端"""
+
+    def __init__(self, host: str, api_key: str):
+        super().__init__(host)
+        self.api_key = api_key
+
+    def _request(self, endpoint: str, data: dict = None) -> dict:
+        return self.post(
+            url=f"{self.host}/api/{endpoint}",
+            params={
+                "apiKey": self.api_key,
+                "requestTime": self.get_current_time_iso8601(),
+                "data": data or {},
+            },
+        )
+
+    def query_status(self) -> dict:
+        return self._request("status/query")
+
+    def create_order(self, order_data: dict) -> dict:
+        return self._request("order/create", order_data)
+```
+
+参考：`unilabos/devices/workstation/bioyond_studio/bioyond_rpc.py`（`BioyondV1RPC`）
+
+### 1.2 HTTP 回调服务
+
+接收外部系统报送的标准模式。使用 `WorkstationHTTPService`，在 `post_init` 中启动。
+
+```python
+from unilabos.devices.workstation.workstation_http_service import WorkstationHTTPService
+
+
+class MyWorkstation(WorkstationBase):
+    def __init__(self, config=None, deck=None, **kwargs):
+        super().__init__(deck=deck, **kwargs)
+        self.config = config or {}
+        http_cfg = self.config.get("http_service_config", {})
+        self._http_service_config = {
+            "host": http_cfg.get("http_service_host", "127.0.0.1"),
+            "port": http_cfg.get("http_service_port", 8080),
+        }
+        self.http_service = None
+
+    def post_init(self, ros_node):
+        super().post_init(ros_node)
+        self.http_service = WorkstationHTTPService(
+            workstation_instance=self,
+            host=self._http_service_config["host"],
+            port=self._http_service_config["port"],
+        )
+        self.http_service.start()
+```
+
+**HTTP 服务路由**（固定端点，由 `WorkstationHTTPHandler` 自动分发）：
+
+| 端点 | 调用的工作站方法 |
+|------|-----------------|
+| `/report/step_finish` | `process_step_finish_report(report_request)` |
+| `/report/sample_finish` | `process_sample_finish_report(report_request)` |
+| `/report/order_finish` | `process_order_finish_report(report_request, used_materials)` |
+| `/report/material_change` | `process_material_change_report(report_data)` |
+| `/report/error_handling` | `handle_external_error(error_data)` |
+
+实现对应方法即可接收回调：
+
+```python
+def process_step_finish_report(self, report_request) -> Dict[str, Any]:
+    """处理步骤完成报告"""
+    step_name = report_request.data.get("stepName")
+    return {"success": True, "message": f"步骤 {step_name} 已处理"}
+
+def process_order_finish_report(self, report_request, used_materials) -> Dict[str, Any]:
+    """处理订单完成报告"""
+    order_code = report_request.data.get("orderCode")
+    return {"success": True}
+```
+
+参考：`unilabos/devices/workstation/workstation_http_service.py`
+
+### 1.3 连接监控
+
+独立线程周期性检测外部系统连接状态，状态变化时发布 ROS 事件。
+
+```python
+class ConnectionMonitor:
+    def __init__(self, workstation, check_interval=30):
+        self.workstation = workstation
+        self.check_interval = check_interval
+        self._running = False
+        self._thread = None
+
+    def start(self):
+        self._running = True
+        self._thread = threading.Thread(target=self._monitor_loop, daemon=True)
+        self._thread.start()
+
+    def _monitor_loop(self):
+        while self._running:
+            try:
+                # 调用外部系统接口检测连接
+                self.workstation.hardware_interface.ping()
+                status = "online"
+            except Exception:
+                status = "offline"
+            time.sleep(self.check_interval)
+```
+
+参考：`unilabos/devices/workstation/bioyond_studio/station.py`（`ConnectionMonitor`）
+
+---
+
+## 2. Config 结构模式
+
+工作站的 `config` 在图文件中定义，传入 `__init__`。以下是常见字段模式：
+
+### 2.1 外部系统连接
+
+```json
+{
+    "api_host": "http://192.168.1.100:8080",
+    "api_key": "YOUR_API_KEY"
+}
+```
+
+### 2.2 HTTP 回调服务
+
+```json
+{
+    "http_service_config": {
+        "http_service_host": "127.0.0.1",
+        "http_service_port": 8080
+    }
+}
+```
+
+### 2.3 物料类型映射
+
+将 PLR 资源类名映射到外部系统的物料类型（名称 + UUID）。用于双向物料转换。
+
+```json
+{
+    "material_type_mappings": {
+        "PLR_ResourceClassName": ["外部系统显示名", "external-type-uuid"],
+        "BIOYOND_PolymerStation_Reactor": ["反应器", "3a14233b-902d-0d7b-..."]
+    }
+}
+```
+
+### 2.4 仓库映射
+
+将仓库名映射到外部系统的仓库 UUID 和库位 UUID。用于入库/出库操作。
+
+```json
+{
+    "warehouse_mapping": {
+        "仓库名": {
+            "uuid": "warehouse-uuid",
+            "site_uuids": {
+                "A01": "site-uuid-A01",
+                "A02": "site-uuid-A02"
+            }
+        }
+    }
+}
+```
+
+### 2.5 工作流映射
+
+将内部工作流名映射到外部系统的工作流 ID。
+
+```json
+{
+    "workflow_mappings": {
+        "internal_workflow_name": "external-workflow-uuid"
+    }
+}
+```
+
+### 2.6 物料默认参数
+
+```json
+{
+    "material_default_parameters": {
+        "NMP": {
+            "unit": "毫升",
+            "density": "1.03",
+            "densityUnit": "g/mL",
+            "description": "N-甲基吡咯烷酮"
+        }
+    }
+}
+```
+
+---
+
+## 3. 资源同步机制
+
+### 3.1 ResourceSynchronizer
+
+抽象基类，用于与外部物料系统双向同步。定义在 `workstation_base.py`。
+
+```python
+from unilabos.devices.workstation.workstation_base import ResourceSynchronizer
+
+
+class MyResourceSynchronizer(ResourceSynchronizer):
+    def __init__(self, workstation, api_client):
+        super().__init__(workstation)
+        self.api_client = api_client
+
+    def sync_from_external(self) -> bool:
+        """从外部系统拉取物料到 deck"""
+        external_materials = self.api_client.list_materials()
+        for material in external_materials:
+            plr_resource = self._convert_to_plr(material)
+            self.workstation.deck.assign_child_resource(plr_resource, coordinate)
+        return True
+
+    def sync_to_external(self, plr_resource) -> bool:
+        """将 deck 中的物料变更推送到外部系统"""
+        external_data = self._convert_from_plr(plr_resource)
+        self.api_client.update_material(external_data)
+        return True
+
+    def handle_external_change(self, change_info) -> bool:
+        """处理外部系统推送的物料变更"""
+        return True
+```
+
+### 3.2 update_resource — 上传资源树到云端
+
+将 PLR Deck 序列化后通过 ROS 服务上传。典型使用场景：
+
+```python
+# 在 post_init 中上传初始 deck
+from unilabos.ros.nodes.base_device_node import ROS2DeviceNode
+
+ROS2DeviceNode.run_async_func(
+    self._ros_node.update_resource, True,
+    **{"resources": [self.deck]}
+)
+
+# 在动作方法中更新特定资源
+ROS2DeviceNode.run_async_func(
+    self._ros_node.update_resource, True,
+    **{"resources": [updated_plate]}
+)
+```
+
+---
+
+## 4. 工作流序列管理
+
+工作站通过 `workflow_sequence` 属性管理任务队列（JSON 字符串形式）。
+
+```python
+class MyWorkstation(WorkstationBase):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._workflow_sequence = []
+
+    @property
+    def workflow_sequence(self) -> str:
+        """返回 JSON 字符串，ROS 自动发布"""
+        import json
+        return json.dumps(self._workflow_sequence)
+
+    async def append_to_workflow_sequence(self, workflow_name: str) -> Dict[str, Any]:
+        """添加工作流到队列"""
+        self._workflow_sequence.append({
+            "name": workflow_name,
+            "status": "pending",
+            "created_at": time.time(),
+        })
+        return {"success": True}
+
+    async def clear_workflows(self) -> Dict[str, Any]:
+        """清空工作流队列"""
+        self._workflow_sequence = []
+        return {"success": True}
+```
+
+---
+
+## 5. 站间物料转移
+
+工作站之间转移物料的模式。通过 ROS ActionClient 调用目标站的动作。
+
+```python
+async def transfer_materials_to_another_station(
+    self,
+    target_device_id: str,
+    transfer_groups: list,
+    **kwargs,
+) -> Dict[str, Any]:
+    """将物料转移到另一个工作站"""
+    target_node = self._children.get(target_device_id)
+    if not target_node:
+        # 通过 ROS 节点查找非子设备的目标站
+        pass
+
+    for group in transfer_groups:
+        resource = self.find_resource_by_name(group["resource_name"])
+        # 从本站 deck 移除
+        resource.unassign()
+        # 调用目标站的接收方法
+        # ...
+
+    return {"success": True, "transferred": len(transfer_groups)}
+```
+
+参考：`BioyondDispensingStation.transfer_materials_to_reaction_station`
+
+---
+
+## 6. post_init 完整模式
+
+`post_init` 是工作站初始化的关键阶段，此时 ROS 节点和子设备已就绪。
+
+```python
+def post_init(self, ros_node):
+    super().post_init(ros_node)
+
+    # 1. 初始化外部系统客户端（此时 config 已可用）
+    self.rpc_client = MySystemRPC(
+        host=self.config.get("api_host"),
+        api_key=self.config.get("api_key"),
+    )
+    self.hardware_interface = self.rpc_client
+
+    # 2. 启动连接监控
+    self.connection_monitor = ConnectionMonitor(self)
+    self.connection_monitor.start()
+
+    # 3. 启动 HTTP 回调服务
+    if hasattr(self, '_http_service_config'):
+        self.http_service = WorkstationHTTPService(
+            workstation_instance=self,
+            host=self._http_service_config["host"],
+            port=self._http_service_config["port"],
+        )
+        self.http_service.start()
+
+    # 4. 上传 deck 到云端
+    ROS2DeviceNode.run_async_func(
+        self._ros_node.update_resource, True,
+        **{"resources": [self.deck]}
+    )
+
+    # 5. 初始化资源同步器（可选）
+    self.resource_synchronizer = MyResourceSynchronizer(self, self.rpc_client)
+```

.cursor/skills/batch-insert-reagent/SKILL.md

@@ -0,0 +1,233 @@
+---
+name: batch-insert-reagent
+description: Batch insert reagents into Uni-Lab platform — add chemicals with CAS, SMILES, supplier info. Use when the user wants to add reagents, insert chemicals, batch register reagents, or mentions 录入试剂/添加试剂/试剂入库/reagent.
+---
+
+# 批量录入试剂 Skill
+
+通过云端 API 批量录入试剂信息，支持逐条或批量操作。
+
+## 前置条件（缺一不可）
+
+使用本 skill 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（任选一种方式）：
+
+```bash
+# 方式一：Python 一行生成
+python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
+
+# 方式二：手动计算
+# base64(ak:sk) → Authorization: Lab <token>
+```
+
+### 2. --addr → BASE URL
+
+| `--addr` 值 | BASE |
+|-------------|------|
+| `test` | `https://uni-lab.test.bohrium.com` |
+| `uat` | `https://uni-lab.uat.bohrium.com` |
+| `local` | `http://127.0.0.1:48197` |
+| 不传（默认） | `https://uni-lab.bohrium.com` |
+
+确认后设置：
+```bash
+BASE="<根据 addr 确定的 URL>"
+AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
+```
+
+**两项全部就绪后才可发起 API 请求。**
+
+## Session State
+
+- `lab_uuid` — 实验室 UUID（首次通过 API #1 自动获取，**不需要问用户**）
+
+## 请求约定
+
+所有请求使用 `curl -s`，POST 需加 `Content-Type: application/json`。
+
+> **Windows 平台**必须使用 `curl.exe`（而非 PowerShell 的 `curl` 别名），示例中的 `curl` 均指 `curl.exe`。
+
+---
+
+## API Endpoints
+
+### 1. 获取实验室信息（自动获取 lab_uuid）
+
+```bash
+curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
+```
+
+返回：
+
+```json
+{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
+```
+
+记住 `data.uuid` 为 `lab_uuid`。
+
+### 2. 录入试剂
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/reagent" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{
+    "lab_uuid": "<lab_uuid>",
+    "cas": "<CAS号>",
+    "name": "<试剂名称>",
+    "molecular_formula": "<分子式>",
+    "smiles": "<SMILES>",
+    "stock_in_quantity": <入库数量>,
+    "unit": "<单位字符串>",
+    "supplier": "<供应商>",
+    "production_date": "<生产日期 ISO 8601>",
+    "expiry_date": "<过期日期 ISO 8601>"
+  }'
+```
+
+返回成功时包含试剂 UUID：
+```json
+{"code": 0, "data": {"uuid": "xxx", ...}}
+```
+
+---
+
+## 试剂字段说明
+
+| 字段 | 类型 | 必填 | 说明 | 示例 |
+|------|------|------|------|------|
+| `lab_uuid` | string | 是 | 实验室 UUID（从 API #1 获取） | `"8511c672-..."` |
+| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
+| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
+| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
+| `smiles` | string | 是 | SMILES 表示 | `"O"` |
+| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
+| `unit` | string | 是 | 单位（字符串，见下表） | `"mL"` |
+| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
+| `production_date` | string | 否 | 生产日期（ISO 8601） | `"2025-11-18T00:00:00Z"` |
+| `expiry_date` | string | 否 | 过期日期（ISO 8601） | `"2026-11-18T00:00:00Z"` |
+
+### unit 单位值
+
+| 值 | 单位 |
+|------|------|
+| `"mL"` | 毫升 |
+| `"L"` | 升 |
+| `"g"` | 克 |
+| `"kg"` | 千克 |
+| `"瓶"` | 瓶 |
+
+> 根据试剂状态选择：液体用 `"mL"` / `"L"`，固体用 `"g"` / `"kg"`。
+
+---
+
+## 批量录入策略
+
+### 方式一：用户提供 JSON 数组
+
+用户一次性给出多条试剂数据：
+
+```json
+[
+  {"cas": "7732-18-3", "name": "水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 10, "unit": "mL"},
+  {"cas": "64-17-5", "name": "乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 5, "unit": "L"}
+]
+```
+
+Agent 自动为每条补充 `lab_uuid`、`production_date`、`expiry_date` 等字段后逐条提交。
+
+Agent 循环调用 API #2 逐条录入，每条记录一次 API 调用。
+
+### 方式二：用户逐个描述
+
+用户口头描述试剂（如「帮我录入 500mL 的无水乙醇，Sigma 的」），agent 自行补全字段：
+
+1. 根据名称查找 CAS 号、分子式、SMILES（参考下方速查表或自行推断）
+2. 构建完整的请求体
+3. 向用户确认后提交
+
+### 方式三：从 CSV/表格批量导入
+
+用户提供 CSV 或表格文件路径，agent 读取并解析：
+
+```bash
+# 期望的 CSV 格式（首行为表头）
+cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_date,expiry_date
+7732-18-3,水,H2O,O,10,mL,农夫山泉,2025-11-18T00:00:00Z,2026-11-18T00:00:00Z
+```
+
+### 执行与汇报
+
+每次 API 调用后：
+1. 检查返回 `code`（0 = 成功）
+2. 记录成功/失败数量
+3. 全部完成后汇总：「共录入 N 条试剂，成功 X 条，失败 Y 条」
+4. 如有失败，列出失败的试剂名称和错误信息
+
+---
+
+## 常见试剂速查表
+
+| 名称 | CAS | 分子式 | SMILES |
+|------|-----|--------|--------|
+| 水 | 7732-18-3 | H2O | O |
+| 乙醇 | 64-17-5 | C2H6O | CCO |
+| 甲醇 | 67-56-1 | CH4O | CO |
+| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
+| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
+| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
+| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
+| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
+| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
+| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
+| 乙腈 | 75-05-8 | C2H3N | CC#N |
+| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
+| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
+| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
+| 盐酸 | 7647-01-0 | HCl | Cl |
+| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
+| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
+| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
+| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
+| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
+
+> 此表仅供快速参考。对于不在表中的试剂，agent 应根据化学知识推断或提示用户补充。
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] 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
+- [ ] Step 4: 收集试剂信息（用户提供列表/逐个描述/CSV文件）
+- [ ] Step 5: 补全缺失字段（CAS、分子式、SMILES 等）
+- [ ] Step 6: 向用户确认待录入的试剂列表
+- [ ] Step 7: 循环调用 POST /lab/reagent 逐条录入（每条需含 lab_uuid）
+- [ ] Step 8: 汇总结果（成功/失败数量及详情）
+```
+
+---
+
+## 完整示例
+
+用户说：「帮我录入 3 种试剂：500mL 无水乙醇、1kg 氯化钠、2L 去离子水」
+
+Agent 构建的请求序列：
+
+```json
+// 第 1 条
+{"lab_uuid": "8511c672-...", "cas": "64-17-5", "name": "无水乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 500, "unit": "mL", "supplier": "国药集团", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
+
+// 第 2 条
+{"lab_uuid": "8511c672-...", "cas": "7647-14-5", "name": "氯化钠", "molecular_formula": "NaCl", "smiles": "[Na]Cl", "stock_in_quantity": 1, "unit": "kg", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
+
+// 第 3 条
+{"lab_uuid": "8511c672-...", "cas": "7732-18-3", "name": "去离子水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 2, "unit": "L", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
+```

.cursor/skills/batch-submit-experiment/SKILL.md

@@ -0,0 +1,301 @@
+---
+name: batch-submit-experiment
+description: Batch submit experiments (notebooks) to Uni-Lab platform — list workflows, generate node_params from registry schemas, submit multiple rounds. Use when the user wants to submit experiments, create notebooks, batch run workflows, or mentions 提交实验/批量实验/notebook/实验轮次.
+---
+
+# 批量提交实验指南
+
+通过云端 API 批量提交实验（notebook），支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
+
+## 前置条件（缺一不可）
+
+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（任选一种方式）：
+
+```bash
+# 方式一：Python 一行生成
+python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
+
+# 方式二：手动计算
+# base64(ak:sk) → Authorization: Lab <token>
+```
+
+### 2. --addr → BASE URL
+
+| `--addr` 值 | BASE |
+|-------------|------|
+| `test` | `https://uni-lab.test.bohrium.com` |
+| `uat` | `https://uni-lab.uat.bohrium.com` |
+| `local` | `http://127.0.0.1:48197` |
+| 不传（默认） | `https://uni-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. req_device_registry_upload.json（设备注册表）
+
+**批量提交实验时需要本地注册表来解析 workflow 节点的参数 schema。**
+
+按优先级搜索：
+
+```
+<workspace 根目录>/unilabos_data/req_device_registry_upload.json
+<workspace 根目录>/req_device_registry_upload.json
+```
+
+也可直接 Glob 搜索：`**/req_device_registry_upload.json`
+
+找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`。
+
+**如果文件不存在** → 告知用户先运行 `unilab` 启动命令，等注册表生成后再执行。可跳过此步，但将无法自动生成参数模板，需要用户手动填写 `param`。
+
+### 4. workflow_uuid（目标工作流）
+
+用户需要提供要提交的 workflow UUID。如果用户不确定，通过 API #2 列出可用 workflow 供选择。
+
+**四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，避免重复询问用户：
+
+- `lab_uuid` — 实验室 UUID（首次通过 API #1 自动获取，**不需要问用户**）
+- `workflow_uuid` — 工作流 UUID（用户提供或从列表选择）
+- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名（从 API #3 获取）
+
+## 请求约定
+
+所有请求使用 `curl -s`，POST 需加 `Content-Type: application/json`。
+
+> **Windows 平台**必须使用 `curl.exe`（而非 PowerShell 的 `curl` 别名），示例中的 `curl` 均指 `curl.exe`。
+>
+> **PowerShell JSON 传参**：PowerShell 中 `-d '{"key":"value"}'` 会因引号转义失败。请将 JSON 写入临时文件，用 `-d '@tmp_body.json'`（单引号包裹 `@`，否则会被解析为 splatting 运算符）。
+
+---
+
+## API Endpoints
+
+### 1. 获取实验室信息（自动获取 lab_uuid）
+
+```bash
+curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
+```
+
+返回：
+
+```json
+{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
+```
+
+记住 `data.uuid` 为 `lab_uuid`。
+
+### 2. 列出可用 workflow
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
+```
+
+返回 workflow 列表，展示给用户选择。列出每个 workflow 的 `uuid` 和 `name`。
+
+### 3. 获取 workflow 模板详情
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
+```
+
+返回 workflow 的完整结构，包含所有 action 节点信息。需要从响应中提取：
+- 每个 action 节点的 `node_uuid`
+- 每个节点对应的设备 ID（`resource_template_name`）
+- 每个节点的动作名（`node_template_name`）
+- 每个节点的现有参数（`param`）
+
+> **注意**：此 API 返回格式可能因版本不同而有差异。首次调用时，先打印完整响应分析结构，再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
+
+### 4. 提交实验（创建 notebook）
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/notebook" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '<request_body>'
+```
+
+请求体结构：
+
+```json
+{
+    "lab_uuid": "<lab_uuid>",
+    "workflow_uuid": "<workflow_uuid>",
+    "name": "<实验名称>",
+    "node_params": [
+        {
+            "sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
+            "datas": [
+                {
+                    "node_uuid": "<workflow中的节点UUID>",
+                    "param": {},
+                    "sample_params": [
+                        {
+                            "container_uuid": "<容器UUID>",
+                            "sample_value": {
+                                "liquid_names": "<液体名称>",
+                                "volumes": 1000
+                            }
+                        }
+                    ]
+                }
+            ]
+        }
+    ]
+}
+```
+
+> **注意**：`sample_uuids` 必须是 **UUID 数组**（`[]uuid.UUID`），不是字符串。无样品时传空数组 `[]`。
+
+---
+
+## Notebook 请求体详解
+
+### node_params 结构
+
+`node_params` 是一个数组，**每个元素代表一轮实验**：
+
+- 要跑 2 轮 → `node_params` 有 2 个元素
+- 要跑 N 轮 → `node_params` 有 N 个元素
+
+### 每轮的字段
+
+| 字段 | 类型 | 说明 |
+|------|------|------|
+| `sample_uuids` | array\<uuid\> | 该轮实验的样品 UUID 数组，无样品时传 `[]` |
+| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
+
+### datas 中每个节点
+
+| 字段 | 类型 | 说明 |
+|------|------|------|
+| `node_uuid` | string | workflow 模板中的节点 UUID（从 API #3 获取） |
+| `param` | object | 动作参数（根据本地注册表 schema 填写） |
+| `sample_params` | array | 样品相关参数（液体名、体积等） |
+
+### sample_params 中每条
+
+| 字段 | 类型 | 说明 |
+|------|------|------|
+| `container_uuid` | string | 容器 UUID |
+| `sample_value` | object | 样品值，如 `{"liquid_names": "水", "volumes": 1000}` |
+
+---
+
+## 从本地注册表生成 param 模板
+
+### 自动方式 — 运行脚本
+
+```bash
+python scripts/gen_notebook_params.py \
+  --auth <token> \
+  --base <BASE_URL> \
+  --workflow-uuid <workflow_uuid> \
+  [--registry <path/to/req_device_registry_upload.json>] \
+  [--rounds <轮次数>] \
+  [--output <输出文件路径>]
+```
+
+> 脚本位于本文档同级目录下的 `scripts/gen_notebook_params.py`。
+
+脚本会：
+1. 调用 workflow detail API 获取所有 action 节点
+2. 读取本地注册表，为每个节点查找对应的 action schema
+3. 生成 `notebook_template.json`，包含：
+   - 完整 `node_params` 骨架
+   - 每个节点的 param 字段及类型说明
+   - `_schema_info` 辅助信息（不提交，仅供参考）
+
+### 手动方式
+
+如果脚本不可用或注册表不存在：
+
+1. 调用 API #3 获取 workflow 详情
+2. 找到每个 action 节点的 `node_uuid`
+3. 在本地注册表中查找对应设备的 `action_value_mappings`：
+   ```
+   resources[].id == <device_id>
+   → resources[].class.action_value_mappings.<action_name>.schema.properties.goal.properties
+   ```
+4. 将 schema 中的 properties 作为 `param` 的字段模板
+5. 按轮次复制 `node_params` 元素，让用户填写每轮的具体值
+
+### 注册表结构参考
+
+```json
+{
+  "resources": [
+    {
+      "id": "liquid_handler.prcxi",
+      "class": {
+        "module": "unilabos.devices.xxx:ClassName",
+        "action_value_mappings": {
+          "transfer_liquid": {
+            "type": "LiquidHandlerTransfer",
+            "schema": {
+              "properties": {
+                "goal": {
+                  "properties": {
+                    "asp_vols": {"type": "array", "items": {"type": "number"}},
+                    "sources": {"type": "array"}
+                  },
+                  "required": ["asp_vols", "sources"]
+                }
+              }
+            },
+            "goal_default": {}
+          }
+        }
+      }
+    }
+  ]
+}
+```
+
+`param` 填写时，使用 `goal.properties` 中的字段名和类型。
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] 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
+- [ ] Step 4: 确认 workflow_uuid（用户提供或从 GET #2 列表选择）
+- [ ] Step 5: GET workflow detail (#3) → 提取各节点 uuid、设备ID、动作名
+- [ ] Step 6: 定位本地注册表 req_device_registry_upload.json
+- [ ] Step 7: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
+- [ ] Step 8: 引导用户填写每轮的参数（sample_uuids、param、sample_params）
+- [ ] Step 9: 构建完整请求体 → POST /lab/notebook 提交
+- [ ] Step 10: 检查返回结果，确认提交成功
+```
+
+---
+
+## 常见问题
+
+### Q: workflow 中有多个节点，每轮都要填所有节点的参数吗？
+
+是的。`datas` 数组中需要包含该轮实验涉及的每个 workflow 节点的参数。通常每个 action 节点都需要一条 `datas` 记录。
+
+### Q: 多轮实验的参数完全不同吗？
+
+通常每轮的 `param`（设备动作参数）可能相同或相似，但 `sample_uuids` 和 `sample_params`（样品信息）每轮不同。脚本生成模板时会按轮次复制骨架，用户只需修改差异部分。
+
+### Q: 如何获取 sample_uuids 和 container_uuid？
+
+这些 UUID 通常来自实验室的样品管理系统。向用户询问，或从资源树（API `GET /lab/material/download/$lab_uuid`）中查找。

.cursor/skills/batch-submit-experiment/scripts/gen_notebook_params.py

@@ -0,0 +1,394 @@
+#!/usr/bin/env python3
+"""
+从 workflow 模板详情 + 本地设备注册表生成 notebook 提交用的 node_params 模板。
+
+用法:
+  python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]
+
+选项:
+  --auth <token>          Lab token（base64(ak:sk) 的结果，不含 "Lab " 前缀）
+  --base <url>            API 基础 URL（如 https://uni-lab.test.bohrium.com）
+  --workflow-uuid <uuid>  目标 workflow 的 UUID
+  --registry <path>       本地注册表文件路径（默认自动搜索）
+  --rounds <n>            实验轮次数（默认 1）
+  --output <path>         输出模板文件路径（默认 notebook_template.json）
+  --dump-response         打印 workflow detail API 的原始响应（调试用）
+
+示例:
+  python gen_notebook_params.py \\
+    --auth YTFmZDlkNGUtxxxx \\
+    --base https://uni-lab.test.bohrium.com \\
+    --workflow-uuid abc-123-def \\
+    --rounds 2
+"""
+import copy
+import json
+import os
+import sys
+from datetime import datetime
+from urllib.request import Request, urlopen
+from urllib.error import HTTPError, URLError
+
+REGISTRY_FILENAME = "req_device_registry_upload.json"
+
+
+def find_registry(explicit_path=None):
+    """查找本地注册表文件，逻辑同 extract_device_actions.py"""
+    if explicit_path:
+        if os.path.isfile(explicit_path):
+            return explicit_path
+        if os.path.isdir(explicit_path):
+            fp = os.path.join(explicit_path, REGISTRY_FILENAME)
+            if os.path.isfile(fp):
+                return fp
+        print(f"警告: 指定的注册表路径不存在: {explicit_path}")
+        return None
+
+    candidates = [
+        os.path.join("unilabos_data", REGISTRY_FILENAME),
+        REGISTRY_FILENAME,
+    ]
+    for c in candidates:
+        if os.path.isfile(c):
+            return c
+
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    workspace_root = os.path.normpath(os.path.join(script_dir, "..", "..", ".."))
+    for c in candidates:
+        path = os.path.join(workspace_root, c)
+        if os.path.isfile(path):
+            return path
+
+    cwd = os.getcwd()
+    for _ in range(5):
+        parent = os.path.dirname(cwd)
+        if parent == cwd:
+            break
+        cwd = parent
+        for c in candidates:
+            path = os.path.join(cwd, c)
+            if os.path.isfile(path):
+                return path
+    return None
+
+
+def load_registry(path):
+    with open(path, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def build_registry_index(registry_data):
+    """构建 device_id → action_value_mappings 的索引"""
+    index = {}
+    for res in registry_data.get("resources", []):
+        rid = res.get("id", "")
+        avm = res.get("class", {}).get("action_value_mappings", {})
+        if rid and avm:
+            index[rid] = avm
+    return index
+
+
+def flatten_goal_schema(action_data):
+    """从 action_value_mappings 条目中提取 goal 层的 schema"""
+    schema = action_data.get("schema", {})
+    goal_schema = schema.get("properties", {}).get("goal", {})
+    return goal_schema if goal_schema else schema
+
+
+def build_param_template(goal_schema):
+    """根据 goal schema 生成 param 模板，含类型标注"""
+    properties = goal_schema.get("properties", {})
+    required = set(goal_schema.get("required", []))
+    template = {}
+    for field_name, field_def in properties.items():
+        if field_name == "unilabos_device_id":
+            continue
+        ftype = field_def.get("type", "any")
+        default = field_def.get("default")
+        if default is not None:
+            template[field_name] = default
+        elif ftype == "string":
+            template[field_name] = f"$TODO ({ftype}, {'required' if field_name in required else 'optional'})"
+        elif ftype == "number" or ftype == "integer":
+            template[field_name] = 0
+        elif ftype == "boolean":
+            template[field_name] = False
+        elif ftype == "array":
+            template[field_name] = []
+        elif ftype == "object":
+            template[field_name] = {}
+        else:
+            template[field_name] = f"$TODO ({ftype})"
+    return template
+
+
+def fetch_workflow_detail(base_url, auth_token, workflow_uuid):
+    """调用 workflow detail API"""
+    url = f"{base_url}/api/v1/lab/workflow/template/detail/{workflow_uuid}"
+    req = Request(url, method="GET")
+    req.add_header("Authorization", f"Lab {auth_token}")
+    try:
+        with urlopen(req, timeout=30) as resp:
+            return json.loads(resp.read().decode("utf-8"))
+    except HTTPError as e:
+        body = e.read().decode("utf-8", errors="replace")
+        print(f"API 错误 {e.code}: {body}")
+        return None
+    except URLError as e:
+        print(f"网络错误: {e.reason}")
+        return None
+
+
+def extract_nodes_from_response(response):
+    """
+    从 workflow detail 响应中提取 action 节点列表。
+    适配多种可能的响应格式。
+
+    返回: [(node_uuid, resource_template_name, node_template_name, existing_param), ...]
+    """
+    data = response.get("data", response)
+
+    search_keys = ["nodes", "workflow_nodes", "node_list", "steps"]
+    nodes_raw = None
+    for key in search_keys:
+        if key in data and isinstance(data[key], list):
+            nodes_raw = data[key]
+            break
+
+    if nodes_raw is None:
+        if isinstance(data, list):
+            nodes_raw = data
+        else:
+            for v in data.values():
+                if isinstance(v, list) and len(v) > 0 and isinstance(v[0], dict):
+                    nodes_raw = v
+                    break
+
+    if not nodes_raw:
+        print("警告: 未能从响应中提取节点列表")
+        print("响应顶层 keys:", list(data.keys()) if isinstance(data, dict) else type(data).__name__)
+        return []
+
+    result = []
+    for node in nodes_raw:
+        if not isinstance(node, dict):
+            continue
+
+        node_uuid = (
+            node.get("uuid")
+            or node.get("node_uuid")
+            or node.get("id")
+            or ""
+        )
+        resource_name = (
+            node.get("resource_template_name")
+            or node.get("device_id")
+            or node.get("resource_name")
+            or node.get("device_name")
+            or ""
+        )
+        template_name = (
+            node.get("node_template_name")
+            or node.get("action_name")
+            or node.get("template_name")
+            or node.get("action")
+            or node.get("name")
+            or ""
+        )
+        existing_param = node.get("param", {}) or {}
+
+        if node_uuid:
+            result.append((node_uuid, resource_name, template_name, existing_param))
+
+    return result
+
+
+def generate_template(nodes, registry_index, rounds):
+    """生成 notebook 提交模板"""
+    node_params = []
+    schema_info = {}
+
+    datas_template = []
+    for node_uuid, resource_name, template_name, existing_param in nodes:
+        param_template = {}
+        matched = False
+
+        if resource_name and template_name and resource_name in registry_index:
+            avm = registry_index[resource_name]
+            if template_name in avm:
+                goal_schema = flatten_goal_schema(avm[template_name])
+                param_template = build_param_template(goal_schema)
+                goal_default = avm[template_name].get("goal_default", {})
+                if goal_default:
+                    for k, v in goal_default.items():
+                        if k in param_template and v is not None:
+                            param_template[k] = v
+                matched = True
+
+                schema_info[node_uuid] = {
+                    "device_id": resource_name,
+                    "action_name": template_name,
+                    "action_type": avm[template_name].get("type", ""),
+                    "schema_properties": list(goal_schema.get("properties", {}).keys()),
+                    "required": goal_schema.get("required", []),
+                }
+
+        if not matched and existing_param:
+            param_template = existing_param
+
+        if not matched and not existing_param:
+            schema_info[node_uuid] = {
+                "device_id": resource_name,
+                "action_name": template_name,
+                "warning": "未在本地注册表中找到匹配的 action schema",
+            }
+
+        datas_template.append({
+            "node_uuid": node_uuid,
+            "param": param_template,
+            "sample_params": [
+                {
+                    "container_uuid": "$TODO_CONTAINER_UUID",
+                    "sample_value": {
+                        "liquid_names": "$TODO_LIQUID_NAME",
+                        "volumes": 0,
+                    },
+                }
+            ],
+        })
+
+    for i in range(rounds):
+        node_params.append({
+            "sample_uuids": f"$TODO_SAMPLE_UUID_ROUND_{i + 1}",
+            "datas": copy.deepcopy(datas_template),
+        })
+
+    return {
+        "lab_uuid": "$TODO_LAB_UUID",
+        "workflow_uuid": "$TODO_WORKFLOW_UUID",
+        "name": "$TODO_EXPERIMENT_NAME",
+        "node_params": node_params,
+        "_schema_info（仅参考，提交时删除）": schema_info,
+    }
+
+
+def parse_args(argv):
+    """简单的参数解析"""
+    opts = {
+        "auth": None,
+        "base": None,
+        "workflow_uuid": None,
+        "registry": None,
+        "rounds": 1,
+        "output": "notebook_template.json",
+        "dump_response": False,
+    }
+    i = 0
+    while i < len(argv):
+        arg = argv[i]
+        if arg == "--auth" and i + 1 < len(argv):
+            opts["auth"] = argv[i + 1]
+            i += 2
+        elif arg == "--base" and i + 1 < len(argv):
+            opts["base"] = argv[i + 1].rstrip("/")
+            i += 2
+        elif arg == "--workflow-uuid" and i + 1 < len(argv):
+            opts["workflow_uuid"] = argv[i + 1]
+            i += 2
+        elif arg == "--registry" and i + 1 < len(argv):
+            opts["registry"] = argv[i + 1]
+            i += 2
+        elif arg == "--rounds" and i + 1 < len(argv):
+            opts["rounds"] = int(argv[i + 1])
+            i += 2
+        elif arg == "--output" and i + 1 < len(argv):
+            opts["output"] = argv[i + 1]
+            i += 2
+        elif arg == "--dump-response":
+            opts["dump_response"] = True
+            i += 1
+        else:
+            print(f"未知参数: {arg}")
+            i += 1
+    return opts
+
+
+def main():
+    opts = parse_args(sys.argv[1:])
+
+    if not opts["auth"] or not opts["base"] or not opts["workflow_uuid"]:
+        print("用法:")
+        print("  python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]")
+        print()
+        print("必需参数:")
+        print("  --auth <token>          Lab token（base64(ak:sk)）")
+        print("  --base <url>            API 基础 URL")
+        print("  --workflow-uuid <uuid>  目标 workflow UUID")
+        print()
+        print("可选参数:")
+        print("  --registry <path>       注册表文件路径（默认自动搜索）")
+        print("  --rounds <n>            实验轮次数（默认 1）")
+        print("  --output <path>         输出文件路径（默认 notebook_template.json）")
+        print("  --dump-response         打印 API 原始响应")
+        sys.exit(1)
+
+    # 1. 查找并加载本地注册表
+    registry_path = find_registry(opts["registry"])
+    registry_index = {}
+    if registry_path:
+        mtime = os.path.getmtime(registry_path)
+        gen_time = datetime.fromtimestamp(mtime).strftime("%Y-%m-%d %H:%M:%S")
+        print(f"注册表: {registry_path}  (生成时间: {gen_time})")
+        registry_data = load_registry(registry_path)
+        registry_index = build_registry_index(registry_data)
+        print(f"已索引 {len(registry_index)} 个设备的 action schemas")
+    else:
+        print("警告: 未找到本地注册表，将跳过 param 模板生成")
+        print("  提交时需要手动填写各节点的 param 字段")
+
+    # 2. 获取 workflow 详情
+    print(f"\n正在获取 workflow 详情: {opts['workflow_uuid']}")
+    response = fetch_workflow_detail(opts["base"], opts["auth"], opts["workflow_uuid"])
+    if not response:
+        print("错误: 无法获取 workflow 详情")
+        sys.exit(1)
+
+    if opts["dump_response"]:
+        print("\n=== API 原始响应 ===")
+        print(json.dumps(response, indent=2, ensure_ascii=False)[:5000])
+        print("=== 响应结束（截断至 5000 字符） ===\n")
+
+    # 3. 提取节点
+    nodes = extract_nodes_from_response(response)
+    if not nodes:
+        print("错误: 未能从 workflow 中提取任何 action 节点")
+        print("请使用 --dump-response 查看原始响应结构")
+        sys.exit(1)
+
+    print(f"\n找到 {len(nodes)} 个 action 节点:")
+    print(f"  {'节点 UUID':<40} {'设备 ID':<30} {'动作名':<25} {'Schema'}")
+    print("  " + "-" * 110)
+    for node_uuid, resource_name, template_name, _ in nodes:
+        matched = "✓" if (resource_name in registry_index and
+                          template_name in registry_index.get(resource_name, {})) else "✗"
+        print(f"  {node_uuid:<40} {resource_name:<30} {template_name:<25} {matched}")
+
+    # 4. 生成模板
+    template = generate_template(nodes, registry_index, opts["rounds"])
+    template["workflow_uuid"] = opts["workflow_uuid"]
+
+    output_path = opts["output"]
+    with open(output_path, "w", encoding="utf-8") as f:
+        json.dump(template, f, indent=2, ensure_ascii=False)
+    print(f"\n模板已写入: {output_path}")
+    print(f"  轮次数: {opts['rounds']}")
+    print(f"  节点数/轮: {len(nodes)}")
+    print()
+    print("下一步:")
+    print("  1. 打开模板文件，将 $TODO 占位符替换为实际值")
+    print("  2. 删除 _schema_info 字段（仅供参考）")
+    print("  3. 使用 POST /api/v1/lab/notebook 提交")
+
+
+if __name__ == "__main__":
+    main()

.cursor/skills/create-device-skill/SKILL.md

@@ -0,0 +1,328 @@
+---
+name: create-device-skill
+description: Create a skill for any Uni-Lab device by extracting action schemas from the device registry. Use when the user wants to create a new device skill, add device API documentation, or set up action schemas for a device.
+---
+
+# 创建设备 Skill 指南
+
+本 meta-skill 教你如何为任意 Uni-Lab-OS 设备创建完整的 API 操作技能（参考 `unilab-device-api` 的成功案例）。
+
+## 数据源
+
+- **设备注册表**: `unilabos_data/req_device_registry_upload.json`
+- **结构**: `{ "resources": [{ "id": "<device_id>", "class": { "module": "<python_module:ClassName>", "action_value_mappings": { ... } } }] }`
+- **生成时机**: `unilab` 启动并完成注册表上传后自动生成
+- **module 字段**: 格式 `unilabos.devices.xxx.yyy:ClassName`，可转为源码路径 `unilabos/devices/xxx/yyy.py`，阅读源码可了解参数含义和设备行为
+
+## 创建流程
+
+### Step 0 — 收集必备信息（缺一不可，否则询问后终止）
+
+开始前**必须**确认以下 4 项信息全部就绪。如果用户未提供任何一项，**立即询问并终止当前流程**，等用户补齐后再继续。
+
+向用户提问：「请提供你的 unilab 启动参数，我需要以下信息：」
+
+#### 必备项 ①：ak / sk（认证凭据）
+
+来源：启动命令的 `--ak` `--sk` 参数，或 config.py 中的 `ak = "..."` `sk = "..."`。
+
+获取后立即生成 AUTH token：
+
+```bash
+python ./scripts/gen_auth.py <ak> <sk>
+# 或从 config.py 提取
+python ./scripts/gen_auth.py --config <config.py>
+```
+
+认证算法：`base64(ak:sk)` → `Authorization: Lab <token>`
+
+#### 必备项 ②：--addr（目标环境）
+
+决定 API 请求发往哪个服务器。从启动命令的 `--addr` 参数获取：
+
+| `--addr` 值 | BASE URL |
+|-------------|----------|
+| `test` | `https://uni-lab.test.bohrium.com` |
+| `uat` | `https://uni-lab.uat.bohrium.com` |
+| `local` | `http://127.0.0.1:48197` |
+| 不传（默认） | `https://uni-lab.bohrium.com` |
+| 其他自定义 URL | 直接使用该 URL |
+
+#### 必备项 ③：req_device_registry_upload.json（设备注册表）
+
+数据文件由 `unilab` 启动时自动生成，需要定位它：
+
+**推断 working_dir**（即 `unilabos_data` 所在目录）：
+
+| 条件 | working_dir 取值 |
+|------|------------------|
+| 传了 `--working_dir` | `<working_dir>/unilabos_data/`（若子目录已存在则直接用） |
+| 仅传了 `--config` | `<config 文件所在目录>/unilabos_data/` |
+| 都没传 | `<当前工作目录>/unilabos_data/` |
+
+**按优先级搜索文件**：
+
+```
+<推断的 working_dir>/unilabos_data/req_device_registry_upload.json
+<推断的 working_dir>/req_device_registry_upload.json
+<workspace 根目录>/unilabos_data/req_device_registry_upload.json
+```
+
+也可以直接 Glob 搜索：`**/req_device_registry_upload.json`
+
+找到后**必须检查文件修改时间**并告知用户：「找到注册表文件 `<路径>`，生成于 `<时间>`。请确认这是最近一次启动生成的。」超过 1 天提醒用户是否需要重新启动 `unilab`。
+
+**如果文件不存在** → 告知用户先运行 `unilab` 启动命令，等日志出现 `注册表响应数据已保存` 后再执行本流程。**终止。**
+
+#### 必备项 ④：目标设备
+
+用户需要明确要为哪个设备创建 skill。可以是设备名称（如「PRCXI 移液站」）或 device_id（如 `liquid_handler.prcxi`）。
+
+如果用户不确定，运行提取脚本列出所有设备供选择：
+
+```bash
+python ./scripts/extract_device_actions.py --registry <找到的文件路径>
+```
+
+#### 完整示例
+
+用户提供：
+
+```
+--ak a1fd9d4e-xxxx-xxxx-xxxx-d9a69c09f0fd
+--sk 136ff5c6-xxxx-xxxx-xxxx-a03e301f827b
+--addr test
+--port 8003
+--disable_browser
+```
+
+从中提取：
+- ✅ ak/sk → 运行 `gen_auth.py` 得到 `AUTH="Authorization: Lab YTFmZDlk..."`
+- ✅ addr=test → `BASE=https://uni-lab.test.bohrium.com`
+- ✅ 搜索 `unilabos_data/req_device_registry_upload.json` → 找到并确认时间
+- ✅ 用户指明目标设备 → 如 `liquid_handler.prcxi`
+
+**四项全部就绪后才进入 Step 1。**
+
+### Step 1 — 列出可用设备
+
+运行提取脚本，列出所有设备及 action 数量和 Python 源码路径，让用户选择：
+
+```bash
+# 自动搜索（默认在 unilabos_data/ 和当前目录查找）
+python ./scripts/extract_device_actions.py
+
+# 指定注册表文件路径
+python ./scripts/extract_device_actions.py --registry <path/to/req_device_registry_upload.json>
+```
+
+脚本输出包含每个设备的 **Python 源码路径**（从 `class.module` 转换），可用于后续阅读源码理解参数含义。
+
+### Step 2 — 提取 Action Schema
+
+用户选择设备后，运行提取脚本：
+
+```bash
+python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./skills/<skill-name>/actions/
+```
+
+脚本会显示设备的 Python 源码路径和类名，方便阅读源码了解参数含义。
+
+每个 action 生成一个 JSON 文件，包含：
+- `type` — 作为 API 调用的 `action_type`
+- `schema` — 完整 JSON Schema（含 `properties.goal.properties` 参数定义）
+- `goal` — goal 字段映射（含占位符 `$placeholder`）
+- `goal_default` — 默认值
+
+### Step 3 — 写 action-index.md
+
+按模板为每个 action 写条目：
+
+```markdown
+### `<action_name>`
+
+<用途描述（一句话）>
+
+- **Schema**: [`actions/<filename>.json`](actions/<filename>.json)
+- **核心参数**: `param1`, `param2`（从 schema.required 获取）
+- **可选参数**: `param3`, `param4`
+- **占位符字段**: `field`（需填入物料信息，值以 `$` 开头）
+```
+
+描述规则：
+- 从 `schema.properties` 读参数列表（schema 已提升为 goal 内容）
+- 从 `schema.required` 区分核心/可选参数
+- 按功能分类（移液、枪头、外设等）
+- 标注 `placeholder_keys` 中的字段类型：
+  - `unilabos_resources` → **ResourceSlot**，填入 `{id, name, uuid}`（id 是路径格式，从资源树取物料节点）
+  - `unilabos_devices` → **DeviceSlot**，填入路径字符串如 `"/host_node"`（从资源树筛选 type=device）
+  - `unilabos_nodes` → **NodeSlot**，填入路径字符串如 `"/PRCXI/PRCXI_Deck"`（资源树中任意节点）
+  - `unilabos_class` → **ClassSlot**，填入类名字符串如 `"container"`（从注册表查找）
+- array 类型字段 → `[{id, name, uuid}, ...]`
+- 特殊：`create_resource` 的 `res_id`（ResourceSlot）可填不存在的路径
+
+### Step 4 — 写 SKILL.md
+
+直接复用 `unilab-device-api` 的 API 模板（10 个 endpoint），修改：
+- 设备名称
+- Action 数量
+- 目录列表
+- Session state 中的 `device_name`
+- **AUTH 头** — 使用 Step 0 中 `gen_auth.py` 生成的 `Authorization: Lab <token>`（不要硬编码 `Api` 类型的 key）
+- **Python 源码路径** — 在 SKILL.md 开头注明设备对应的源码文件，方便参考参数含义
+- **Slot 字段表** — 列出本设备哪些 action 的哪些字段需要填入 Slot（物料/设备/节点/类名）
+
+API 模板结构：
+
+```markdown
+## 设备信息
+- device_id, Python 源码路径, 设备类名
+
+## 前置条件（缺一不可）
+- ak/sk → AUTH, --addr → BASE URL
+
+## Session State
+- lab_uuid（通过 API #1 自动匹配，不要问用户）, device_name
+
+## API Endpoints (10 个)
+# 注意：
+# - #1 获取 lab 列表 + 自动匹配 lab_uuid（遍历 is_admin 的 lab，
+#   调用 /lab/info/{uuid} 比对 access_key == ak）
+# - #2 创建工作流用 POST /lab/workflow
+# - #10 获取资源树路径含 lab_uuid: /lab/material/download/{lab_uuid}
+
+## Placeholder Slot 填写规则
+- unilabos_resources → ResourceSlot → {"id":"/path/name","name":"name","uuid":"xxx"}
+- unilabos_devices → DeviceSlot → "/parent/device" 路径字符串
+- unilabos_nodes → NodeSlot → "/parent/node" 路径字符串
+- unilabos_class → ClassSlot → "class_name" 字符串
+- 特例：create_resource 的 res_id 允许填不存在的路径
+- 列出本设备所有 Slot 字段、类型及含义
+
+## 渐进加载策略
+## 完整工作流 Checklist
+```
+
+### Step 5 — 验证
+
+检查文件完整性：
+- [ ] `SKILL.md` 包含 10 个 API endpoint
+- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则（ResourceSlot / DeviceSlot / NodeSlot / ClassSlot + create_resource 特例）和本设备的 Slot 字段表
+- [ ] `action-index.md` 列出所有 action 并有描述
+- [ ] `actions/` 目录中每个 action 有对应 JSON 文件
+- [ ] JSON 文件包含 `type`, `schema`（已提升为 goal 内容）, `goal`, `goal_default`, `placeholder_keys` 字段
+- [ ] 描述能让 agent 判断该用哪个 action
+
+## Action JSON 文件结构
+
+```json
+{
+  "type": "LiquidHandlerTransfer",    // → API 的 action_type
+  "goal": {                           // goal 字段映射
+    "sources": "sources",
+    "targets": "targets",
+    "tip_racks": "tip_racks",
+    "asp_vols": "asp_vols"
+  },
+  "schema": {                         // ← 直接是 goal 的 schema（已提升）
+    "type": "object",
+    "properties": {                   // 参数定义（即请求中 goal 的字段）
+      "sources": { "type": "array", "items": { "type": "object" } },
+      "targets": { "type": "array", "items": { "type": "object" } },
+      "asp_vols": { "type": "array", "items": { "type": "number" } }
+    },
+    "required": [...],
+    "_unilabos_placeholder_info": {   // ← Slot 类型标记
+      "sources": "unilabos_resources",
+      "targets": "unilabos_resources",
+      "tip_racks": "unilabos_resources"
+    }
+  },
+  "goal_default": { ... },            // 默认值
+  "placeholder_keys": {               // ← 汇总所有 Slot 字段
+    "sources": "unilabos_resources",  //    ResourceSlot
+    "targets": "unilabos_resources",
+    "tip_racks": "unilabos_resources",
+    "target_device_id": "unilabos_devices"  // DeviceSlot
+  }
+}
+```
+
+> **注意**：`schema` 已由脚本从原始 `schema.properties.goal` 提升为顶层，直接包含参数定义。
+> `schema.properties` 中的字段即为 API 请求 `param.goal` 中的字段。
+
+## Placeholder Slot 类型体系
+
+`placeholder_keys` / `_unilabos_placeholder_info` 中有 4 种值，对应不同的填写方式：
+
+| placeholder 值 | Slot 类型 | 填写格式 | 选取范围 |
+|---------------|-----------|---------|---------|
+| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅**物料**节点（不含设备） |
+| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅**设备**节点（type=device），路径字符串 |
+| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | **设备 + 物料**，即所有节点，路径字符串 |
+| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已上报的资源类 name |
+
+### ResourceSlot（`unilabos_resources`）
+
+最常见的类型。从资源树中选取**物料**节点（孔板、枪头盒、试剂槽等）：
+
+```json
+{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-2cb8-419d-8db5-d3ba056fb3c2"}
+```
+
+- 单个（schema type=object）：`{"id": "/path/name", "name": "name", "uuid": "xxx"}`
+- 数组（schema type=array）：`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
+- `id` 本身是从 parent 计算的路径格式
+- 根据 action 语义选择正确的物料（如 `sources` = 液体来源，`targets` = 目标位置）
+
+> **特例**：`create_resource` 的 `res_id` 字段，目标物料可能**尚不存在**，此时直接填写期望的路径（如 `"/workstation/container1"`），不需要 uuid。
+
+### DeviceSlot（`unilabos_devices`）
+
+填写**设备路径字符串**。从资源树中筛选 type=device 的节点，从 parent 计算路径：
+
+```
+"/host_node"
+"/bioyond_cell/reaction_station"
+```
+
+- 只填路径字符串，不需要 `{id, uuid}` 对象
+- 根据 action 语义选择正确的设备（如 `target_device_id` = 目标设备）
+
+### NodeSlot（`unilabos_nodes`）
+
+范围 = 设备 + 物料。即资源树中**所有节点**都可以选，填写**路径字符串**：
+
+```
+"/PRCXI/PRCXI_Deck"
+```
+
+- 使用场景：当参数既可能指向物料也可能指向设备时（如 `PumpTransferProtocol` 的 `from_vessel`/`to_vessel`，`create_resource` 的 `parent`）
+
+### ClassSlot（`unilabos_class`）
+
+填写注册表中已上报的**资源类 name**。从本地 `req_resource_registry_upload.json` 中查找：
+
+```
+"container"
+```
+
+### 通过 API #10 获取资源树
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
+```
+
+注意 `lab_uuid` 在路径中（不是查询参数）。资源树返回所有节点，每个节点包含 `id`（路径格式）、`name`、`uuid`、`type`、`parent` 等字段。填写 Slot 时需根据 placeholder 类型筛选正确的节点。
+
+## 最终目录结构
+
+```
+./<skill-name>/
+├── SKILL.md              # API 端点 + 渐进加载指引
+├── action-index.md       # 动作索引：描述/用途/核心参数
+└── actions/              # 每个 action 的完整 JSON Schema
+    ├── action1.json
+    ├── action2.json
+    └── ...
+```

.cursor/skills/create-device-skill/scripts/extract_device_actions.py

@@ -0,0 +1,200 @@
+#!/usr/bin/env python3
+"""
+从 req_device_registry_upload.json 中提取指定设备的 action schema。
+
+用法:
+  # 列出所有设备及 action 数量（自动搜索注册表文件）
+  python extract_device_actions.py
+
+  # 指定注册表文件路径
+  python extract_device_actions.py --registry <path/to/req_device_registry_upload.json>
+
+  # 提取指定设备的 action 到目录
+  python extract_device_actions.py <device_id> <output_dir>
+  python extract_device_actions.py --registry <path> <device_id> <output_dir>
+
+示例:
+  python extract_device_actions.py --registry unilabos_data/req_device_registry_upload.json
+  python extract_device_actions.py liquid_handler.prcxi .cursor/skills/unilab-device-api/actions/
+"""
+import json
+import os
+import sys
+from datetime import datetime
+
+REGISTRY_FILENAME = "req_device_registry_upload.json"
+
+def find_registry(explicit_path=None):
+    """
+    查找 req_device_registry_upload.json 文件。
+
+    搜索优先级：
+    1. 用户通过 --registry 显式指定的路径
+    2. <cwd>/unilabos_data/req_device_registry_upload.json
+    3. <cwd>/req_device_registry_upload.json
+    4. <script所在目录>/../../.. (workspace根) 下的 unilabos_data/
+    5. 向上逐级搜索父目录（最多 5 层）
+    """
+    if explicit_path:
+        if os.path.isfile(explicit_path):
+            return explicit_path
+        if os.path.isdir(explicit_path):
+            fp = os.path.join(explicit_path, REGISTRY_FILENAME)
+            if os.path.isfile(fp):
+                return fp
+        print(f"警告: 指定的路径不存在: {explicit_path}")
+        return None
+
+    candidates = [
+        os.path.join("unilabos_data", REGISTRY_FILENAME),
+        REGISTRY_FILENAME,
+    ]
+
+    for c in candidates:
+        if os.path.isfile(c):
+            return c
+
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    workspace_root = os.path.normpath(os.path.join(script_dir, "..", "..", ".."))
+    for c in candidates:
+        path = os.path.join(workspace_root, c)
+        if os.path.isfile(path):
+            return path
+
+    cwd = os.getcwd()
+    for _ in range(5):
+        parent = os.path.dirname(cwd)
+        if parent == cwd:
+            break
+        cwd = parent
+        for c in candidates:
+            path = os.path.join(cwd, c)
+            if os.path.isfile(path):
+                return path
+
+    return None
+
+def load_registry(path):
+    with open(path, 'r', encoding='utf-8') as f:
+        return json.load(f)
+
+def list_devices(data):
+    """列出所有包含 action_value_mappings 的设备，同时返回 module 路径"""
+    resources = data.get('resources', [])
+    devices = []
+    for res in resources:
+        rid = res.get('id', '')
+        cls = res.get('class', {})
+        avm = cls.get('action_value_mappings', {})
+        module = cls.get('module', '')
+        if avm:
+            devices.append((rid, len(avm), module))
+    return devices
+
+def flatten_schema_to_goal(action_data):
+    """将 schema 中嵌套的 goal 内容提升为顶层 schema，去掉 feedback/result 包装"""
+    schema = action_data.get('schema', {})
+    goal_schema = schema.get('properties', {}).get('goal', {})
+    if goal_schema:
+        action_data = dict(action_data)
+        action_data['schema'] = goal_schema
+    return action_data
+
+
+def extract_actions(data, device_id, output_dir):
+    """提取指定设备的 action schema 到独立 JSON 文件"""
+    resources = data.get('resources', [])
+    for res in resources:
+        if res.get('id') == device_id:
+            cls = res.get('class', {})
+            module = cls.get('module', '')
+            avm = cls.get('action_value_mappings', {})
+            if not avm:
+                print(f"设备 {device_id} 没有 action_value_mappings")
+                return []
+
+            if module:
+                py_path = module.split(":")[0].replace(".", "/") + ".py"
+                class_name = module.split(":")[-1] if ":" in module else ""
+                print(f"Python 源码: {py_path}")
+                if class_name:
+                    print(f"设备类: {class_name}")
+
+            os.makedirs(output_dir, exist_ok=True)
+            written = []
+            for action_name in sorted(avm.keys()):
+                action_data = flatten_schema_to_goal(avm[action_name])
+                filename = action_name.replace('-', '_') + '.json'
+                filepath = os.path.join(output_dir, filename)
+                with open(filepath, 'w', encoding='utf-8') as f:
+                    json.dump(action_data, f, indent=2, ensure_ascii=False)
+                written.append(filename)
+                print(f"  {filepath}")
+            return written
+
+    print(f"设备 {device_id} 未找到")
+    return []
+
+def main():
+    args = sys.argv[1:]
+    explicit_registry = None
+
+    if "--registry" in args:
+        idx = args.index("--registry")
+        if idx + 1 < len(args):
+            explicit_registry = args[idx + 1]
+            args = args[:idx] + args[idx + 2:]
+        else:
+            print("错误: --registry 需要指定路径")
+            sys.exit(1)
+
+    registry_path = find_registry(explicit_registry)
+    if not registry_path:
+        print(f"错误: 找不到 {REGISTRY_FILENAME}")
+        print()
+        print("解决方法:")
+        print("  1. 先运行 unilab 启动命令，等待注册表生成")
+        print("  2. 用 --registry 指定文件路径:")
+        print(f"     python {sys.argv[0]} --registry <path/to/{REGISTRY_FILENAME}>")
+        print()
+        print("搜索过的路径:")
+        for p in [
+            os.path.join("unilabos_data", REGISTRY_FILENAME),
+            REGISTRY_FILENAME,
+            os.path.join("<workspace_root>", "unilabos_data", REGISTRY_FILENAME),
+        ]:
+            print(f"  - {p}")
+        sys.exit(1)
+
+    print(f"注册表: {registry_path}")
+    mtime = os.path.getmtime(registry_path)
+    gen_time = datetime.fromtimestamp(mtime).strftime("%Y-%m-%d %H:%M:%S")
+    size_mb = os.path.getsize(registry_path) / (1024 * 1024)
+    print(f"生成时间: {gen_time}  (文件大小: {size_mb:.1f} MB)")
+    data = load_registry(registry_path)
+
+    if len(args) == 0:
+        devices = list_devices(data)
+        print(f"\n找到 {len(devices)} 个设备:")
+        print(f"{'设备 ID':<50} {'Actions':>7}  {'Python 模块'}")
+        print("-" * 120)
+        for did, count, module in sorted(devices, key=lambda x: x[0]):
+            py_path = module.split(":")[0].replace(".", "/") + ".py" if module else ""
+            print(f"{did:<50} {count:>7}  {py_path}")
+
+    elif len(args) == 2:
+        device_id = args[0]
+        output_dir = args[1]
+        print(f"\n提取 {device_id} 的 actions 到 {output_dir}/")
+        written = extract_actions(data, device_id, output_dir)
+        if written:
+            print(f"\n共写入 {len(written)} 个 action 文件")
+
+    else:
+        print("用法:")
+        print("  python extract_device_actions.py [--registry <path>]                # 列出设备")
+        print("  python extract_device_actions.py [--registry <path>] <device_id> <dir>  # 提取 actions")
+        sys.exit(1)
+
+if __name__ == '__main__':
+    main()

.cursor/skills/create-device-skill/scripts/gen_auth.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+"""
+从 ak/sk 生成 UniLab API Authorization header。
+
+算法: base64(ak:sk) → "Authorization: Lab <token>"
+
+用法:
+  python gen_auth.py <ak> <sk>
+  python gen_auth.py --config <config.py>
+
+示例:
+  python gen_auth.py myak mysk
+  python gen_auth.py --config experiments/config.py
+"""
+import base64
+import re
+import sys
+
+
+def gen_auth(ak: str, sk: str) -> str:
+    token = base64.b64encode(f"{ak}:{sk}".encode("utf-8")).decode("utf-8")
+    return token
+
+
+def extract_from_config(config_path: str) -> tuple:
+    """从 config.py 中提取 ak 和 sk"""
+    with open(config_path, "r", encoding="utf-8") as f:
+        content = f.read()
+    ak_match = re.search(r'''ak\s*=\s*["']([^"']+)["']''', content)
+    sk_match = re.search(r'''sk\s*=\s*["']([^"']+)["']''', content)
+    if not ak_match or not sk_match:
+        return None, None
+    return ak_match.group(1), sk_match.group(1)
+
+
+def main():
+    args = sys.argv[1:]
+
+    if len(args) == 2 and args[0] == "--config":
+        ak, sk = extract_from_config(args[1])
+        if not ak or not sk:
+            print(f"错误: 在 {args[1]} 中未找到 ak/sk 配置")
+            print("期望格式: ak = \"xxx\"  sk = \"xxx\"")
+            sys.exit(1)
+        print(f"配置文件: {args[1]}")
+    elif len(args) == 2:
+        ak, sk = args
+    else:
+        print("用法:")
+        print("  python gen_auth.py <ak> <sk>")
+        print("  python gen_auth.py --config <config.py>")
+        sys.exit(1)
+
+    token = gen_auth(ak, sk)
+    print(f"ak: {ak}")
+    print(f"sk: {sk}")
+    print()
+    print(f"Authorization header:")
+    print(f"  Authorization: Lab {token}")
+    print()
+    print(f"curl 用法:")
+    print(f'  curl -H "Authorization: Lab {token}" ...')
+    print()
+    print(f"Shell 变量:")
+    print(f'  AUTH="Authorization: Lab {token}"')
+
+
+if __name__ == "__main__":
+    main()

.github/dependabot.yml

@@ -0,0 +1,19 @@
+version: 2
+updates:
+# GitHub Actions
+- package-ecosystem: "github-actions"
+  directory: "/"
+  target-branch: "dev"
+  schedule:
+    interval: "weekly"
+    day: "monday"
+    time: "06:00"
+  open-pull-requests-limit: 5
+  reviewers:
+  - "msgcenterpy-team"
+  labels:
+  - "dependencies"
+  - "github-actions"
+  commit-message:
+    prefix: "ci"
+    include: "scope"

.github/workflows/ci-check.yml

@@ -0,0 +1,67 @@
+name: CI Check
+
+on:
+  push:
+    branches: [main, dev]
+  pull_request:
+    branches: [main, dev]
+
+jobs:
+  registry-check:
+    runs-on: windows-latest
+
+    env:
+      # Fix Unicode encoding issue on Windows runner (cp1252 -> utf-8)
+      PYTHONIOENCODING: utf-8
+      PYTHONUTF8: 1
+
+    defaults:
+      run:
+        shell: cmd
+
+    steps:
+      - uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Setup Miniforge
+        uses: conda-incubator/setup-miniconda@v3
+        with:
+          miniforge-version: latest
+          use-mamba: true
+          channels: robostack-staging,conda-forge,uni-lab
+          channel-priority: flexible
+          activate-environment: check-env
+          auto-update-conda: false
+          show-channel-urls: true
+
+      - 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
+
+      - name: Install pip dependencies and unilabos
+        run: |
+          call conda activate check-env
+          echo Installing pip dependencies...
+          uv pip install -r unilabos/utils/requirements.txt
+          uv pip install pywinauto git+https://github.com/Xuwznln/pylabrobot.git
+          uv pip uninstall enum34 || echo enum34 not installed, skipping
+          uv pip install .
+
+      - name: Run check mode (AST registry validation)
+        run: |
+          call conda activate check-env
+          echo Running check mode...
+          python -m unilabos --check_mode --skip_env_check
+
+      - name: Check for uncommitted changes
+        shell: bash
+        run: |
+          if ! git diff --exit-code; then
+            echo "::error::检测到文件变化！请先在本地运行 'python -m unilabos --complete_registry' 并提交变更"
+            echo "变化的文件:"
+            git diff --name-only
+            exit 1
+          fi
+          echo "检查通过：无文件变化"

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

@@ -13,6 +13,11 @@ on:
         required: false
         default: 'win-64'
         type: string
+      build_full:
+        description: '是否构建完整版 unilabos-full (默认构建轻量版 unilabos)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
   build-conda-pack:
@@ -24,7 +29,7 @@ jobs:
             platform: linux-64
             env_file: unilabos-linux-64.yaml
             script_ext: sh
-          - os: macos-13 # Intel
+          - os: macos-15 # Intel (via Rosetta)
             platform: osx-64
             env_file: unilabos-osx-64.yaml
             script_ext: sh
@@ -57,7 +62,7 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         if: steps.should_build.outputs.should_build == 'true'
         with:
           ref: ${{ github.event.inputs.branch }}
@@ -69,7 +74,7 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
+          python-version: '3.11.14'
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: flexible
           activate-environment: unilab
@@ -81,7 +86,14 @@ 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 conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          echo Build full: ${{ github.event.inputs.build_full }}
+          if "${{ github.event.inputs.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
+          ) 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
+          )
 
       - name: Install conda-pack, unilabos and dependencies (Unix)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
@@ -89,7 +101,14 @@ 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 conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          echo "Build full: ${{ github.event.inputs.build_full }}"
+          if [[ "${{ github.event.inputs.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
+          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
+          fi
 
       - name: Get latest ros-humble-unilabos-msgs version (Windows)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
@@ -293,7 +312,7 @@ jobs:
 
       - name: Upload distribution package
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
           path: dist-package/
@@ -308,7 +327,12 @@ jobs:
           echo ==========================================
           echo Platform: ${{ matrix.platform }}
           echo Branch: ${{ github.event.inputs.branch }}
-          echo Python version: 3.11.11
+          echo Python version: 3.11.14
+          if "${{ github.event.inputs.build_full }}"=="true" (
+            echo Package: unilabos-full ^(complete^)
+          ) else (
+            echo Package: unilabos ^(minimal^)
+          )
           echo.
           echo Distribution package contents:
           dir dist-package
@@ -328,7 +352,12 @@ jobs:
           echo "=========================================="
           echo "Platform: ${{ matrix.platform }}"
           echo "Branch: ${{ github.event.inputs.branch }}"
-          echo "Python version: 3.11.11"
+          echo "Python version: 3.11.14"
+          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+            echo "Package: unilabos-full (complete)"
+          else
+            echo "Package: unilabos (minimal)"
+          fi
           echo ""
           echo "Distribution package contents:"
           ls -lh dist-package/

.github/workflows/deploy-docs.yml

@@ -1,10 +1,12 @@
 name: Deploy Docs
 
 on:
-  push:
-    branches: [main]
-  pull_request:
+  # 在 CI Check 成功后自动触发（仅 main 分支）
+  workflow_run:
+    workflows: ["CI Check"]
+    types: [completed]
     branches: [main]
+  # 手动触发
   workflow_dispatch:
     inputs:
       branch:
@@ -33,12 +35,19 @@ concurrency:
 jobs:
   # Build documentation
   build:
+    # 只在以下情况运行：
+    # 1. workflow_run 触发且 CI Check 成功
+    # 2. 手动触发
+    if: |
+      github.event_name == 'workflow_dispatch' ||
+      (github.event_name == 'workflow_run' && github.event.workflow_run.conclusion == 'success')
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
-          ref: ${{ github.event.inputs.branch || github.ref }}
+          # workflow_run 时使用触发工作流的分支，手动触发时使用输入的分支
+          ref: ${{ github.event.workflow_run.head_branch || github.event.inputs.branch || github.ref }}
           fetch-depth: 0
 
       - name: Setup Miniforge (with mamba)
@@ -46,7 +55,7 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
+          python-version: '3.11.14'
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: flexible
           activate-environment: unilab
@@ -75,8 +84,10 @@ jobs:
 
       - name: Setup Pages
         id: pages
-        uses: actions/configure-pages@v4
-        if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+        uses: actions/configure-pages@v5
+        if: |
+          github.event.workflow_run.head_branch == 'main' ||
+          (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
 
       - name: Build Sphinx documentation
         run: |
@@ -94,14 +105,18 @@ 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@v3
-        if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+        uses: actions/upload-pages-artifact@v4
+        if: |
+          github.event.workflow_run.head_branch == 'main' ||
+          (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
         with:
           path: docs/_build/html
 
   # Deploy to GitHub Pages
   deploy:
-    if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+    if: |
+      github.event.workflow_run.head_branch == 'main' ||
+      (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
     environment:
       name: github-pages
       url: ${{ steps.deployment.outputs.page_url }}

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

@@ -1,11 +1,16 @@
 name: Multi-Platform Conda Build
 
 on:
+  # 在 CI Check 工作流完成后触发（仅限 main/dev 分支）
+  workflow_run:
+    workflows: ["CI Check"]
+    types:
+      - completed
+    branches: [main, dev]
+  # 支持 tag 推送（不依赖 CI Check）
   push:
-    branches: [main, dev]
     tags: ['v*']
-  pull_request:
-    branches: [main, dev]
+  # 手动触发
   workflow_dispatch:
     inputs:
       platforms:
@@ -17,9 +22,37 @@ on:
         required: false
         default: false
         type: boolean
+      skip_ci_check:
+        description: '跳过等待 CI Check (手动触发时可选)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
+  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
+  wait-for-ci:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_run'
+    outputs:
+      should_continue: ${{ steps.check.outputs.should_continue }}
+    steps:
+      - name: Check CI status
+        id: check
+        run: |
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+            echo "should_continue=true" >> $GITHUB_OUTPUT
+            echo "CI Check passed, proceeding with build"
+          else
+            echo "should_continue=false" >> $GITHUB_OUTPUT
+            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+          fi
+
   build:
+    needs: [wait-for-ci]
+    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    if: |
+      always() &&
+      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
@@ -27,7 +60,7 @@ jobs:
           - os: ubuntu-latest
             platform: linux-64
             env_file: unilabos-linux-64.yaml
-          - os: macos-13 # Intel
+          - os: macos-15 # Intel (via Rosetta)
             platform: osx-64
             env_file: unilabos-osx-64.yaml
           - os: macos-latest # ARM64
@@ -44,8 +77,10 @@ jobs:
         shell: bash -l {0}
 
     steps:
-      - uses: actions/checkout@v4
+      - 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 }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -69,7 +104,6 @@ jobs:
           channels: conda-forge,robostack-staging,defaults
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
@@ -115,7 +149,7 @@ jobs:
 
       - name: Upload conda package artifacts
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: conda-package-${{ matrix.platform }}
           path: conda-packages-temp

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

@@ -1,32 +1,69 @@
 name: UniLabOS Conda Build
 
 on:
+  # 在 CI Check 成功后自动触发
+  workflow_run:
+    workflows: ["CI Check"]
+    types: [completed]
+    branches: [main, dev]
+  # 标签推送时直接触发（发布版本）
   push:
-    branches: [main, dev]
     tags: ['v*']
-  pull_request:
-    branches: [main, dev]
+  # 手动触发
   workflow_dispatch:
     inputs:
       platforms:
         description: '选择构建平台 (逗号分隔): linux-64, osx-64, osx-arm64, win-64'
         required: false
         default: 'linux-64'
+      build_full:
+        description: '是否构建 unilabos-full 完整包 (默认只构建 unilabos 基础包)'
+        required: false
+        default: false
+        type: boolean
       upload_to_anaconda:
         description: '是否上传到Anaconda.org'
         required: false
         default: false
         type: boolean
+      skip_ci_check:
+        description: '跳过等待 CI Check (手动触发时可选)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
+  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
+  wait-for-ci:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_run'
+    outputs:
+      should_continue: ${{ steps.check.outputs.should_continue }}
+    steps:
+      - name: Check CI status
+        id: check
+        run: |
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+            echo "should_continue=true" >> $GITHUB_OUTPUT
+            echo "CI Check passed, proceeding with build"
+          else
+            echo "should_continue=false" >> $GITHUB_OUTPUT
+            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+          fi
+
   build:
+    needs: [wait-for-ci]
+    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    if: |
+      always() &&
+      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
         include:
           - os: ubuntu-latest
             platform: linux-64
-          - os: macos-13 # Intel
+          - os: macos-15 # Intel (via Rosetta)
             platform: osx-64
           - os: macos-latest # ARM64
             platform: osx-arm64
@@ -40,8 +77,10 @@ jobs:
         shell: bash -l {0}
 
     steps:
-      - uses: actions/checkout@v4
+      - 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 }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -65,7 +104,6 @@ jobs:
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
@@ -81,12 +119,61 @@ jobs:
           conda list | grep -E "(rattler-build|anaconda-client)"
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
-          echo "Building UniLabOS package"
+          echo "Build full package: ${{ github.event.inputs.build_full || 'false' }}"
+          echo "Building packages:"
+          echo "  - unilabos-env (environment dependencies)"
+          echo "  - unilabos (with pip package)"
+          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+            echo "  - unilabos-full (complete package)"
+          fi
 
-      - name: Build conda package
+      - name: Build unilabos-env (conda environment only, noarch)
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          rattler-build build -r .conda/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
+          echo "Building unilabos-env (conda environment dependencies)..."
+          rattler-build build -r .conda/environment/recipe.yaml -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'
+        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"
+          done
+
+      - name: Build unilabos (with pip package)
+        if: steps.should_build.outputs.should_build == 'true'
+        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
+
+      - name: Upload unilabos to Anaconda.org (if enabled)
+        if: steps.should_build.outputs.should_build == 'true' && 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"
+          done
+
+      - name: Build unilabos-full - Only when explicitly requested
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          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
+
+      - name: Upload unilabos-full to Anaconda.org (if enabled)
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          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"
+          done
 
       - name: List built packages
         if: steps.should_build.outputs.should_build == 'true'
@@ -108,17 +195,9 @@ jobs:
 
       - name: Upload conda package artifacts
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: conda-package-unilabos-${{ matrix.platform }}
           path: conda-packages-temp
           if-no-files-found: warn
           retention-days: 30
-
-      - name: Upload to Anaconda.org (uni-lab organization)
-        if: github.event.inputs.upload_to_anaconda == 'true'
-        run: |
-          for package in $(find ./output -name "*.conda"); do
-            echo "Uploading $package to uni-lab organization..."
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
-          done

.gitignore

@@ -1,8 +1,11 @@
+cursor_docs/
 configs/
 temp/
 output/
 unilabos_data/
 pyrightconfig.json
+.cursorignore
+device_package*/
 ## Python
 
 # Byte-compiled / optimized / DLL files

AGENTS.md

@@ -0,0 +1,87 @@
+# AGENTS.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+Also follow the monorepo-level rules in `../AGENTS.md`.
+
+## Build & Development
+
+```bash
+# Install in editable mode (requires mamba env with python 3.11)
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# Run with a device graph
+unilab --graph <graph.json> --config <config.py> --backend ros
+unilab --graph <graph.json> --config <config.py> --backend simple  # no ROS2 needed
+
+# Common CLI flags
+unilab --app_bridges websocket fastapi    # communication bridges
+unilab --test_mode                        # simulate hardware, no real execution
+unilab --check_mode                       # CI validation of registry imports
+unilab --skip_env_check                   # skip auto-install of dependencies
+unilab --visual rviz|web|disable          # visualization mode
+unilab --is_slave                         # run as slave node
+
+# Workflow upload subcommand
+unilab workflow_upload -f <workflow.json> -n <name> --tags tag1 tag2
+
+# Tests
+pytest tests/                              # all tests
+pytest tests/resources/test_resourcetreeset.py  # single test file
+pytest tests/resources/test_resourcetreeset.py::TestClassName::test_method  # single test
+```
+
+## Architecture
+
+### Startup Flow
+
+`unilab` CLI → `unilabos/app/main.py:main()` → loads config → builds registry → reads device graph (JSON/GraphML) → starts backend thread (ROS2/simple) → starts FastAPI web server + WebSocket client.
+
+### Core Layers
+
+**Registry** (`unilabos/registry/`): Singleton `Registry` class discovers and catalogs all device types, resource types, and communication devices from YAML definitions. Device types live in `registry/devices/*.yaml`, resources in `registry/resources/`, comms in `registry/device_comms/`. The registry resolves class paths to actual Python classes via `utils/import_manager.py`.
+
+**Resource Tracking** (`unilabos/resources/resource_tracker.py`): Pydantic-based `ResourceDict` → `ResourceDictInstance` → `ResourceTreeSet` hierarchy. `ResourceTreeSet` is the canonical in-memory representation of all devices and resources, used throughout the system. Graph I/O is in `resources/graphio.py` (reads JSON/GraphML device topology files into `nx.Graph` + `ResourceTreeSet`).
+
+**Device Drivers** (`unilabos/devices/`): 30+ hardware drivers organized by device type (liquid_handling, hplc, balance, arm, etc.). Each driver is a Python class that gets wrapped by `ros/device_node_wrapper.py:ros2_device_node()` to become a ROS2 node with publishers, subscribers, and action servers.
+
+**ROS2 Layer** (`unilabos/ros/`): `device_node_wrapper.py` dynamically wraps any device class into `ROS2DeviceNode` (defined in `ros/nodes/base_device_node.py`). Preset node types in `ros/nodes/presets/` include `host_node`, `controller_node`, `workstation`, `serial_node`, `camera`. Messages use custom `unilabos_msgs` (pre-built, distributed via releases).
+
+**Protocol Compilation** (`unilabos/compile/`): 20+ protocol compilers (add, centrifuge, dissolve, filter, heatchill, stir, pump, etc.) that transform YAML protocol definitions into executable sequences.
+
+**Communication** (`unilabos/device_comms/`): Hardware communication adapters — OPC-UA client, Modbus PLC, RPC, and a universal driver. `app/communication.py` provides a factory pattern for WebSocket client connections to the cloud.
+
+**Web/API** (`unilabos/app/web/`): FastAPI server with REST API (`api.py`), Jinja2 template pages (`pages.py`), and HTTP client for cloud communication (`client.py`). Runs on port 8002 by default.
+
+### Configuration System
+
+- **Config classes** in `unilabos/config/config.py`: `BasicConfig`, `WSConfig`, `HTTPConfig`, `ROSConfig` — all class-level attributes, loaded from Python config files
+- Config files are `.py` files with matching class names (see `config/example_config.py`)
+- Environment variables override with prefix `UNILABOS_` (e.g., `UNILABOS_BASICCONFIG_PORT=9000`)
+- Device topology defined in graph files (JSON with node-link format, or GraphML)
+
+### Key Data Flow
+
+1. Graph file → `graphio.read_node_link_json()` → `(nx.Graph, ResourceTreeSet, resource_links)`
+2. `ResourceTreeSet` + `Registry` → `initialize_device.initialize_device_from_dict()` → `ROS2DeviceNode` instances
+3. Device nodes communicate via ROS2 topics/actions or direct Python calls (simple backend)
+4. Cloud sync via WebSocket (`app/ws_client.py`) and HTTP (`app/web/client.py`)
+
+### Test Data
+
+Example device graphs and experiment configs are in `unilabos/test/experiments/` (not `tests/`). Registry test fixtures in `unilabos/test/registry/`.
+
+## Code Conventions
+
+- Code comments and log messages in simplified Chinese
+- Python 3.11+, type hints expected
+- Pydantic models for data validation (`resource_tracker.py`)
+- Singleton pattern via `@singleton` decorator (`utils/decorator.py`)
+- Dynamic class loading via `utils/import_manager.py` — device classes resolved at runtime from registry YAML paths
+- CLI argument dashes auto-converted to underscores for consistency
+
+## Licensing
+
+- Framework code: GPL-3.0
+- Device drivers (`unilabos/devices/`): DP Technology Proprietary License — do not redistribute

CLAUDE.md

@@ -0,0 +1,4 @@
+
+Please follow the rules defined in:
+
+@AGENTS.md

MANIFEST.in

@@ -1,4 +1,5 @@
 recursive-include unilabos/test *
+recursive-include unilabos/utils *
 recursive-include unilabos/registry *.yaml
 recursive-include unilabos/app/web/static *
 recursive-include unilabos/app/web/templates *

NOTICE

@@ -0,0 +1,17 @@
+# Uni-Lab-OS Licensing Notice
+
+This project uses a dual licensing structure:
+
+## 1. Main Framework - GPL-3.0
+
+- unilabos/ (except unilabos/devices/)
+- docs/
+- tests/
+
+See [LICENSE](LICENSE) for details.
+
+## 2. Device Drivers - DP Technology Proprietary License
+
+- unilabos/devices/
+
+See [unilabos/devices/LICENSE](unilabos/devices/LICENSE) for details.

README.md

@@ -8,17 +8,13 @@
 
 **English** | [中文](README_zh.md)
 
-[![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/stargazers)
-[![GitHub Forks](https://img.shields.io/github/forks/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/network/members)
-[![GitHub Issues](https://img.shields.io/github/issues/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/issues)
-[![GitHub License](https://img.shields.io/github/license/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/blob/main/LICENSE)
+[![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/stargazers)
+[![GitHub Forks](https://img.shields.io/github/forks/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/network/members)
+[![GitHub Issues](https://img.shields.io/github/issues/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/issues)
+[![GitHub License](https://img.shields.io/github/license/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/blob/main/LICENSE)
 
 Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.
 
-## 🏆 Competition
-
-Join the [Intelligent Organic Chemistry Synthesis Competition](https://bohrium.dp.tech/competitions/1451645258) to explore automated synthesis with Uni-Lab-OS!
-
 ## Key Features
 
 - Multi-device integration management
@@ -31,39 +27,89 @@ Join the [Intelligent Organic Chemistry Synthesis Competition](https://bohrium.d
 
 Detailed documentation can be found at:
 
-- [Online Documentation](https://xuwznln.github.io/Uni-Lab-OS-Doc/)
+- [Online Documentation](https://deepmodeling.github.io/Uni-Lab-OS/)
 
 ## Quick Start
 
-Uni-Lab-OS recommends using `mamba` for environment management. Choose the appropriate environment file for your operating system:
+### 1. Setup Conda Environment
+
+Uni-Lab-OS recommends using `mamba` for environment management. Choose the package that fits your needs:
+
+| Package | Use Case | Contents |
+|---------|----------|----------|
+| `unilabos` | **Recommended for most users** | Complete package, ready to use |
+| `unilabos-env` | Developers (editable install) | Environment only, install unilabos via pip |
+| `unilabos-full` | Simulation/Visualization | unilabos + ROS2 Desktop + Gazebo + MoveIt |
 
 ```bash
 # Create new environment
-mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+mamba create -n unilab python=3.11.14
+mamba activate unilab
+
+# Option A: Standard installation (recommended for most users)
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# Option B: For developers (editable mode development)
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# Then install unilabos and dependencies:
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# Option C: Full installation (simulation/visualization)
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
-## Install Dev Uni-Lab-OS
+**When to use which?**
+- **unilabos**: Standard installation for production deployment and general usage (recommended)
+- **unilabos-env**: For developers who need `pip install -e .` editable mode, modify source code
+- **unilabos-full**: For simulation (Gazebo), visualization (rviz2), and Jupyter notebooks
+
+### 2. Clone Repository (Optional, for developers)
 
 ```bash
-# Clone the repository
-git clone https://github.com/dptech-corp/Uni-Lab-OS.git
+# Clone the repository (only needed for development or examples)
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
-
-# Install Uni-Lab-OS
-pip install .
 ```
 
-3. Start Uni-Lab System:
+3. Start Uni-Lab System
 
-Please refer to [Documentation - Boot Examples](https://xuwznln.github.io/Uni-Lab-OS-Doc/boot_examples/index.html)
+Please refer to [Documentation - Boot Examples](https://deepmodeling.github.io/Uni-Lab-OS/boot_examples/index.html)
+
+4. Best Practice
+
+See [Best Practice Guide](https://deepmodeling.github.io/Uni-Lab-OS/user_guide/best_practice.html)
 
 ## Message Format
 
-Uni-Lab-OS uses pre-built `unilabos_msgs` for system communication. You can find the built versions on the [GitHub Releases](https://github.com/dptech-corp/Uni-Lab-OS/releases) page.
+Uni-Lab-OS uses pre-built `unilabos_msgs` for system communication. You can find the built versions on the [GitHub Releases](https://github.com/deepmodeling/Uni-Lab-OS/releases) page.
+
+## Citation
+
+If you use [Uni-Lab-OS](https://arxiv.org/abs/2512.21766) in academic research, please cite:
+
+```bibtex
+@article{gao2025unilabos,
+    title = {UniLabOS: An AI-Native Operating System for Autonomous Laboratories},
+    doi = {10.48550/arXiv.2512.21766},
+    publisher = {arXiv},
+    author = {Gao, Jing and Chang, Junhan and Que, Haohui and Xiong, Yanfei and
+              Zhang, Shixiang and Qi, Xianwei and Liu, Zhen and Wang, Jun-Jie and
+              Ding, Qianjun and Li, Xinyu and Pan, Ziwei and Xie, Qiming and
+              Yan, Zhuang and Yan, Junchi and Zhang, Linfeng},
+    year = {2025}
+}
+```
 
 ## License
 
-This project is licensed under GPL-3.0 - see the [LICENSE](LICENSE) file for details.
+This project uses a dual licensing structure:
+
+- **Main Framework**: GPL-3.0 - see [LICENSE](LICENSE)
+- **Device Drivers** (`unilabos/devices/`): DP Technology Proprietary License
+
+See [NOTICE](NOTICE) for complete licensing details.
 
 ## Project Statistics
 
@@ -75,4 +121,4 @@ This project is licensed under GPL-3.0 - see the [LICENSE](LICENSE) file for det
 
 ## Contact Us
 
-- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
+- GitHub Issues: [https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)

README_zh.md

@@ -8,17 +8,13 @@
 
 [English](README.md) | **中文**
 
-[![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/stargazers)
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+[![GitHub License](https://img.shields.io/github/license/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/blob/main/LICENSE)
 
 Uni-Lab-OS 是一个用于实验室自动化的综合平台，旨在连接和控制各种实验设备，实现实验流程的自动化和标准化。
 
-## 🏆 比赛
-
-欢迎参加[有机化学合成智能实验大赛](https://bohrium.dp.tech/competitions/1451645258)，使用 Uni-Lab-OS 探索自动化合成！
-
 ## 核心特点
 
 - 多设备集成管理
@@ -31,41 +27,89 @@ Uni-Lab-OS 是一个用于实验室自动化的综合平台，旨在连接和控
 
 详细文档可在以下位置找到:
 
-- [在线文档](https://xuwznln.github.io/Uni-Lab-OS-Doc/)
+- [在线文档](https://deepmodeling.github.io/Uni-Lab-OS/)
 
 ## 快速开始
 
-1. 配置 Conda 环境
+### 1. 配置 Conda 环境
 
-Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的操作系统选择适当的环境文件:
+Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的需求选择合适的安装包：
+
+| 安装包 | 适用场景 | 包含内容 |
+|--------|----------|----------|
+| `unilabos` | **推荐大多数用户** | 完整安装包，开箱即用 |
+| `unilabos-env` | 开发者（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos |
+| `unilabos-full` | 仿真/可视化 | unilabos + ROS2 桌面版 + Gazebo + MoveIt |
 
 ```bash
 # 创建新环境
-mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+mamba create -n unilab python=3.11.14
+mamba activate unilab
+
+# 方案 A：标准安装（推荐大多数用户）
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# 然后安装 unilabos 和依赖：
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# 方案 C：完整安装（仿真/可视化）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
-2. 安装开发版 Uni-Lab-OS:
+**如何选择？**
+- **unilabos**：标准安装，适用于生产部署和日常使用（推荐）
+- **unilabos-env**：开发者使用，支持 `pip install -e .` 可编辑模式，可修改源代码
+- **unilabos-full**：需要仿真（Gazebo）、可视化（rviz2）或 Jupyter Notebook
+
+### 2. 克隆仓库（可选，供开发者使用）
 
 ```bash
-# 克隆仓库
-git clone https://github.com/dptech-corp/Uni-Lab-OS.git
+# 克隆仓库（仅开发或查看示例时需要）
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
-
-# 安装 Uni-Lab-OS
-pip install .
 ```
 
-3. 启动 Uni-Lab 系统:
+3. 启动 Uni-Lab 系统
 
-请见[文档-启动样例](https://xuwznln.github.io/Uni-Lab-OS-Doc/boot_examples/index.html)
+请见[文档-启动样例](https://deepmodeling.github.io/Uni-Lab-OS/boot_examples/index.html)
+
+4. 最佳实践
+
+请见[最佳实践指南](https://deepmodeling.github.io/Uni-Lab-OS/user_guide/best_practice.html)
 
 ## 消息格式
 
-Uni-Lab-OS 使用预构建的 `unilabos_msgs` 进行系统通信。您可以在 [GitHub Releases](https://github.com/dptech-corp/Uni-Lab-OS/releases) 页面找到已构建的版本。
+Uni-Lab-OS 使用预构建的 `unilabos_msgs` 进行系统通信。您可以在 [GitHub Releases](https://github.com/deepmodeling/Uni-Lab-OS/releases) 页面找到已构建的版本。
+
+## 引用
+
+如果您在学术研究中使用 [Uni-Lab-OS](https://arxiv.org/abs/2512.21766)，请引用：
+
+```bibtex
+@article{gao2025unilabos,
+    title = {UniLabOS: An AI-Native Operating System for Autonomous Laboratories},
+    doi = {10.48550/arXiv.2512.21766},
+    publisher = {arXiv},
+    author = {Gao, Jing and Chang, Junhan and Que, Haohui and Xiong, Yanfei and
+              Zhang, Shixiang and Qi, Xianwei and Liu, Zhen and Wang, Jun-Jie and
+              Ding, Qianjun and Li, Xinyu and Pan, Ziwei and Xie, Qiming and
+              Yan, Zhuang and Yan, Junchi and Zhang, Linfeng},
+    year = {2025}
+}
+```
 
 ## 许可证
 
-此项目采用 GPL-3.0 许可 - 详情请参阅 [LICENSE](LICENSE) 文件。
+本项目采用双许可证结构：
+
+- **主框架**：GPL-3.0 - 详见 [LICENSE](LICENSE)
+- **设备驱动** (`unilabos/devices/`)：深势科技专有许可证
+
+完整许可证说明请参阅 [NOTICE](NOTICE)。
 
 ## 项目统计
 
@@ -77,4 +121,4 @@ Uni-Lab-OS 使用预构建的 `unilabos_msgs` 进行系统通信。您可以在
 
 ## 联系我们
 
-- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
+- GitHub Issues: [https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)

docs/advanced_usage/configuration.md

@@ -67,14 +67,6 @@ class WSConfig:
     max_reconnect_attempts = 999  # 最大重连次数
     ping_interval = 30  # ping间隔（秒）
 
-# OSS上传配置
-class OSSUploadConfig:
-    api_host = ""  # API主机地址
-    authorization = ""  # 授权信息
-    init_endpoint = ""  # 初始化端点
-    complete_endpoint = ""  # 完成端点
-    max_retries = 3  # 最大重试次数
-
 # HTTP配置
 class HTTPConfig:
     remote_addr = "https://uni-lab.bohrium.com/api/v1"  # 远程服务器地址
@@ -294,19 +286,7 @@ HTTP 客户端配置用于与云端服务通信：
 - UAT 环境：`https://uni-lab.uat.bohrium.com/api/v1`
 - 本地环境：`http://127.0.0.1:48197/api/v1`
 
-### 4. OSSUploadConfig - OSS 上传配置
-
-对象存储服务配置，用于文件上传功能：
-
-| 参数                | 类型 | 默认值 | 说明                 |
-| ------------------- | ---- | ------ | -------------------- |
-| `api_host`          | str  | `""`   | OSS API 主机地址     |
-| `authorization`     | str  | `""`   | 授权认证信息         |
-| `init_endpoint`     | str  | `""`   | 上传初始化端点       |
-| `complete_endpoint` | str  | `""`   | 上传完成端点         |
-| `max_retries`       | int  | `3`    | 上传失败最大重试次数 |
-
-### 5. ROSConfig - ROS 配置
+### 4. ROSConfig - ROS 配置
 
 配置 ROS 消息转换器需要加载的模块：
 

docs/conf.py

@@ -24,7 +24,7 @@ extensions = [
     "sphinx.ext.autodoc",
     "sphinx.ext.napoleon",  # 如果您使用 Google 或 NumPy 风格的 docstrings
     "sphinx_rtd_theme",
-    "sphinxcontrib.mermaid"
+    "sphinxcontrib.mermaid",
 ]
 
 source_suffix = {
@@ -58,7 +58,7 @@ html_theme = "sphinx_rtd_theme"
 
 # sphinx-book-theme 主题选项
 html_theme_options = {
-    "repository_url": "https://github.com/用户名/Uni-Lab",
+    "repository_url": "https://github.com/deepmodeling/Uni-Lab-OS",
     "use_repository_button": True,
     "use_issues_button": True,
     "use_edit_page_button": True,

docs/developer_guide/add_device.md

@@ -15,6 +15,9 @@ Python 类设备驱动在完成注册表后可以直接在 Uni-Lab 中使用，
 **示例：**
 
 ```python
+from unilabos.registry.decorators import device, topic_config
+
+@device(id="mock_gripper", category=["gripper"], description="Mock Gripper")
 class MockGripper:
     def __init__(self):
         self._position: float = 0.0
@@ -23,19 +26,23 @@ class MockGripper:
         self._status = "Idle"
 
     @property
+    @topic_config()  # 添加 @topic_config 才会定时广播
     def position(self) -> float:
         return self._position
 
     @property
+    @topic_config()
     def velocity(self) -> float:
         return self._velocity
 
     @property
+    @topic_config()
     def torque(self) -> float:
         return self._torque
 
-    # 会被自动识别的设备属性，接入 Uni-Lab 时会定时对外广播
+    # 使用 @topic_config 装饰的属性，接入 Uni-Lab 时会定时对外广播
     @property
+    @topic_config(period=2.0)  # 可自定义发布周期
     def status(self) -> str:
         return self._status
 
@@ -149,7 +156,7 @@ my_device: # 设备唯一标识符
 
 系统会自动分析您的 Python 驱动类并生成：
 
-- `status_types`：从 `@property` 装饰的方法自动识别状态属性
+- `status_types`：从 `@topic_config` 装饰的 `@property` 或方法自动识别状态属性
 - `action_value_mappings`：从类方法自动生成动作映射
 - `init_param_schema`：从 `__init__` 方法分析初始化参数
 - `schema`：前端显示用的属性类型定义
@@ -179,7 +186,9 @@ Uni-Lab 设备驱动是一个 Python 类，需要遵循以下结构：
 
 ```python
 from typing import Dict, Any
+from unilabos.registry.decorators import device, topic_config
 
+@device(id="my_device", category=["general"], description="My Device")
 class MyDevice:
     """设备类文档字符串
 
@@ -198,8 +207,9 @@ class MyDevice:
         # 初始化硬件连接
 
     @property
+    @topic_config()  # 必须添加 @topic_config 才会广播
     def status(self) -> str:
-        """设备状态（会自动广播）"""
+        """设备状态（通过 @topic_config 广播）"""
         return self._status
 
     def my_action(self, param: float) -> Dict[str, Any]:
@@ -217,34 +227,61 @@ class MyDevice:
 
 ## 状态属性 vs 动作方法
 
-### 状态属性（@property）
+### 状态属性（@property + @topic_config）
 
-状态属性会被自动识别并定期广播：
+状态属性需要同时使用 `@property` 和 `@topic_config` 装饰器才会被识别并定期广播：
 
 ```python
+from unilabos.registry.decorators import topic_config
+
 @property
+@topic_config()  # 必须添加，否则不会广播
 def temperature(self) -> float:
     """当前温度"""
     return self._read_temperature()
 
 @property
+@topic_config(period=2.0)  # 可自定义发布周期（秒）
 def status(self) -> str:
     """设备状态: idle, running, error"""
     return self._status
 
 @property
+@topic_config(name="ready")  # 可自定义发布名称
 def is_ready(self) -> bool:
     """设备是否就绪"""
     return self._status == "idle"
 ```
 
+也可以使用普通方法（非 @property）配合 `@topic_config`：
+
+```python
+@topic_config(period=10.0)
+def get_sensor_data(self) -> Dict[str, float]:
+    """获取传感器数据（get_ 前缀会自动去除，发布名为 sensor_data）"""
+    return {"temp": self._temp, "humidity": self._humidity}
+```
+
+**`@topic_config` 参数**:
+
+| 参数 | 类型 | 默认值 | 说明 |
+|------|------|--------|------|
+| `period` | float | 5.0 | 发布周期（秒） |
+| `print_publish` | bool | 节点默认 | 是否打印发布日志 |
+| `qos` | int | 10 | QoS 深度 |
+| `name` | str | None | 自定义发布名称 |
+
+**发布名称优先级**：`@topic_config(name=...)` > `get_` 前缀去除 > 方法名
+
 **特点**:
 
-- 使用`@property`装饰器
-- 只读，不能有参数
-- 自动添加到注册表的`status_types`
+- 必须使用 `@topic_config` 装饰器
+- 支持 `@property` 和普通方法
+- 添加到注册表的 `status_types`
 - 定期发布到 ROS2 topic
 
+> **⚠️ 重要：** 仅有 `@property` 装饰器而没有 `@topic_config` 的属性**不会**被广播。这是一个 Breaking Change。
+
 ### 动作方法
 
 动作方法是设备可以执行的操作：
@@ -497,6 +534,7 @@ class LiquidHandler:
         self._status = "idle"
 
     @property
+    @topic_config()
     def status(self) -> str:
         return self._status
 
@@ -886,7 +924,52 @@ class MyDevice:
 
 ## 最佳实践
 
-### 1. 类型注解
+### 1. 使用 `@device` 装饰器标识设备类
+
+```python
+from unilabos.registry.decorators import device
+
+@device(id="my_device", category=["heating"], description="My Heating Device", icon="heater.webp")
+class MyDevice:
+    ...
+```
+
+- `id`：设备唯一标识符，用于注册表匹配
+- `category`：分类列表，前端用于分组显示
+- `description`：设备描述
+- `icon`：图标文件名（可选）
+
+### 2. 使用 `@topic_config` 声明需要广播的状态
+
+```python
+from unilabos.registry.decorators import topic_config
+
+# ✓ @property + @topic_config → 会广播
+@property
+@topic_config(period=2.0)
+def temperature(self) -> float:
+    return self._temp
+
+# ✓ 普通方法 + @topic_config → 会广播（get_ 前缀自动去除）
+@topic_config(period=10.0)
+def get_sensor_data(self) -> Dict[str, float]:
+    return {"temp": self._temp}
+
+# ✓ 使用 name 参数自定义发布名称
+@property
+@topic_config(name="ready")
+def is_ready(self) -> bool:
+    return self._status == "idle"
+
+# ✗ 仅有 @property，没有 @topic_config → 不会广播
+@property
+def internal_state(self) -> str:
+    return self._state
+```
+
+> **注意：** 与 `@property` 连用时，`@topic_config` 必须放在 `@property` 下面。
+
+### 3. 类型注解
 
 ```python
 from typing import Dict, Any, Optional, List
@@ -901,7 +984,7 @@ def method(
     pass
 ```
 
-### 2. 文档字符串
+### 4. 文档字符串
 
 ```python
 def method(self, param: float) -> Dict[str, Any]:
@@ -923,7 +1006,7 @@ def method(self, param: float) -> Dict[str, Any]:
     pass
 ```
 
-### 3. 配置验证
+### 5. 配置验证
 
 ```python
 def __init__(self, config: Dict[str, Any]):
@@ -937,7 +1020,7 @@ def __init__(self, config: Dict[str, Any]):
     self.baudrate = config['baudrate']
 ```
 
-### 4. 资源清理
+### 6. 资源清理
 
 ```python
 def __del__(self):
@@ -946,7 +1029,7 @@ def __del__(self):
         self.connection.close()
 ```
 
-### 5. 设计前端友好的返回值
+### 7. 设计前端友好的返回值
 
 **记住：返回值会直接显示在 Web 界面**
 

docs/developer_guide/add_registry.md

@@ -4,7 +4,8 @@
 
 ## 概述
 
-注册表（Registry）是Uni-Lab的设备配置系统，采用YAML格式定义设备的：
+注册表（Registry）是 Uni-Lab 的设备配置系统，采用 YAML 格式定义设备的：
+
 - 可用动作（Actions）
 - 状态类型（Status Types）
 - 初始化参数（Init Parameters）
@@ -32,19 +33,19 @@
 
 ### 核心字段说明
 
-| 字段名            | 类型   | 需要手写 | 说明                                |
-| ----------------- | ------ | -------- | ----------------------------------- |
-| 设备标识符        | string | 是       | 设备的唯一名字，如 `mock_chiller`   |
-| class             | object | 部分     | 设备的核心信息，必须配置            |
-| description       | string | 否       | 设备描述，系统默认给空字符串        |
-| handles           | array  | 否       | 连接关系，默认为空                  |
-| icon              | string | 否       | 图标路径，默认为空                  |
-| init_param_schema | object | 否       | 初始化参数，系统自动分析生成        |
-| version           | string | 否       | 版本号，默认 "1.0.0"                |
-| category          | array  | 否       | 设备分类，默认使用文件名            |
-| config_info       | array  | 否       | 嵌套配置，默认为空                  |
-| file_path         | string | 否       | 文件路径，系统自动设置              |
-| registry_type     | string | 否       | 注册表类型，自动设为 "device"       |
+| 字段名            | 类型   | 需要手写 | 说明                              |
+| ----------------- | ------ | -------- | --------------------------------- |
+| 设备标识符        | string | 是       | 设备的唯一名字，如 `mock_chiller` |
+| class             | object | 部分     | 设备的核心信息，必须配置          |
+| description       | string | 否       | 设备描述，系统默认给空字符串      |
+| handles           | array  | 否       | 连接关系，默认为空                |
+| icon              | string | 否       | 图标路径，默认为空                |
+| init_param_schema | object | 否       | 初始化参数，系统自动分析生成      |
+| version           | string | 否       | 版本号，默认 "1.0.0"              |
+| category          | array  | 否       | 设备分类，默认使用文件名          |
+| config_info       | array  | 否       | 嵌套配置，默认为空                |
+| file_path         | string | 否       | 文件路径，系统自动设置            |
+| registry_type     | string | 否       | 注册表类型，自动设为 "device"     |
 
 ### class 字段详解
 
@@ -71,11 +72,11 @@ my_device:
       # 动作配置（详见后文）
       action_name:
         type: UniLabJsonCommand
-        goal: {...}
-        result: {...}
+        goal: { ... }
+        result: { ... }
 
-  description: "设备描述"
-  version: "1.0.0"
+  description: '设备描述'
+  version: '1.0.0'
   category:
     - device_category
   handles: []
@@ -101,21 +102,22 @@ my_device:
 
 ## 创建注册表的方式
 
-### 方式1: 使用注册表编辑器（推荐）
+### 方式 1: 使用注册表编辑器（推荐）
 
 适合大多数场景，快速高效。
 
 **步骤**：
-1. 启动Uni-Lab
-2. 访问Web界面的"注册表编辑器"
-3. 上传您的Python设备驱动文件
+
+1. 启动 Uni-Lab
+2. 访问 Web 界面的"注册表编辑器"
+3. 上传您的 Python 设备驱动文件
 4. 点击"分析文件"
 5. 填写描述和图标
 6. 点击"生成注册表"
-7. 复制生成的YAML内容
+7. 复制生成的 YAML 内容
 8. 保存到 `unilabos/registry/devices/your_device.yaml`
 
-### 方式2: 使用--complete_registry参数（开发调试）
+### 方式 2: 使用--complete_registry 参数（开发调试）
 
 适合开发阶段，自动补全配置。
 
@@ -125,7 +127,8 @@ unilab -g dev.json --complete_registry --registry_path ./my_registry
 ```
 
 系统会：
-1. 扫描Python类
+
+1. 扫描 Python 类
 2. 分析方法签名和类型
 3. 自动生成缺失的字段
 4. 保存到注册表文件
@@ -137,7 +140,7 @@ unilab -g dev.json --complete_registry --registry_path ./my_registry
 启动系统时用 complete_registry=True 参数，让系统自动补全
 ```
 
-### 方式3: 手动编写（高级）
+### 方式 3: 手动编写（高级）
 
 适合需要精细控制或特殊需求的场景。
 
@@ -186,6 +189,7 @@ my_device:
 | ROS 动作类型           | 标准 ROS 动作        | goal_default 和 schema |
 
 **常用的 ROS 动作类型**：
+
 - `SendCmd`：发送简单命令
 - `NavigateThroughPoses`：导航动作
 - `SingleJointPosition`：单关节位置控制
@@ -251,11 +255,11 @@ heat_chill_start:
 
 ## 特殊类型的自动识别
 
-### ResourceSlot和DeviceSlot识别
+### ResourceSlot 和 DeviceSlot 识别
 
 当您在驱动代码中使用这些特殊类型时，系统会自动识别并生成相应的前端选择器。
 
-**Python驱动代码示例**：
+**Python 驱动代码示例**：
 
 ```python
 from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
@@ -286,24 +290,24 @@ my_device:
           device: device
           devices: devices
         placeholder_keys:
-          resource: unilabos_resources      # 自动添加！
-          resources: unilabos_resources     # 自动添加！
-          device: unilabos_devices          # 自动添加！
-          devices: unilabos_devices         # 自动添加！
+          resource: unilabos_resources # 自动添加！
+          resources: unilabos_resources # 自动添加！
+          device: unilabos_devices # 自动添加！
+          devices: unilabos_devices # 自动添加！
         result:
           success: success
 ```
 
 ### 识别规则
 
-| Python类型 | placeholder_keys值 | 前端效果 |
-|-----------|-------------------|---------|
-| `ResourceSlot` | `unilabos_resources` | 单选资源下拉框 |
+| Python 类型          | placeholder_keys 值  | 前端效果       |
+| -------------------- | -------------------- | -------------- |
+| `ResourceSlot`       | `unilabos_resources` | 单选资源下拉框 |
 | `List[ResourceSlot]` | `unilabos_resources` | 多选资源下拉框 |
-| `DeviceSlot` | `unilabos_devices` | 单选设备下拉框 |
-| `List[DeviceSlot]` | `unilabos_devices` | 多选设备下拉框 |
+| `DeviceSlot`         | `unilabos_devices`   | 单选设备下拉框 |
+| `List[DeviceSlot]`   | `unilabos_devices`   | 多选设备下拉框 |
 
-### 前端UI效果
+### 前端 UI 效果
 
 #### 单选资源
 
@@ -313,6 +317,7 @@ placeholder_keys:
 ```
 
 **前端渲染**:
+
 ```
 Source: [下拉选择框 ▼]
         ├── plate_1 (96孔板)
@@ -329,6 +334,7 @@ placeholder_keys:
 ```
 
 **前端渲染**:
+
 ```
 Targets: [多选下拉框 ▼]
          ☑ plate_1 (96孔板)
@@ -345,6 +351,7 @@ placeholder_keys:
 ```
 
 **前端渲染**:
+
 ```
 Pump: [下拉选择框 ▼]
       ├── pump_1 (注射泵A)
@@ -360,6 +367,7 @@ placeholder_keys:
 ```
 
 **前端渲染**:
+
 ```
 Sync Devices: [多选下拉框 ▼]
               ☑ heater_1 (加热器A)
@@ -367,11 +375,11 @@ Sync Devices: [多选下拉框 ▼]
               ☐ pump_1 (注射泵)
 ```
 
-### 手动配置placeholder_keys
+### 手动配置 placeholder_keys
 
-如果需要手动添加或覆盖自动生成的placeholder_keys：
+如果需要手动添加或覆盖自动生成的 placeholder_keys：
 
-#### 场景1: 非标准参数名
+#### 场景 1: 非标准参数名
 
 ```yaml
 action_value_mappings:
@@ -384,7 +392,7 @@ action_value_mappings:
       my_device_param: unilabos_devices
 ```
 
-#### 场景2: 混合类型
+#### 场景 2: 混合类型
 
 ```python
 def mixed_params(
@@ -398,33 +406,36 @@ def mixed_params(
 
 ```yaml
 placeholder_keys:
-  resource: unilabos_resources    # 资源选择
-  device: unilabos_devices        # 设备选择
+  resource: unilabos_resources # 资源选择
+  device: unilabos_devices # 设备选择
   # normal_param不需要placeholder_keys
 ```
 
-#### 场景3: 自定义选择器
+#### 场景 3: 自定义选择器
 
 ```yaml
 placeholder_keys:
-  special_param: custom_selector   # 使用自定义选择器
+  special_param: custom_selector # 使用自定义选择器
 ```
 
 ## 系统自动生成的字段
 
 ### status_types
 
-系统会扫描你的 Python 类，从状态方法（property或get_方法）自动生成这部分：
+系统会扫描你的 Python 类，从带有 `@topic_config` 装饰器的 `@property` 或方法自动生成这部分：
 
 ```yaml
 status_types:
-  current_temperature: float # 从 get_current_temperature() 或 @property current_temperature
-  is_heating: bool           # 从 get_is_heating() 或 @property is_heating
-  status: str               # 从 get_status() 或 @property status
+  current_temperature: float # 从 @topic_config 装饰的 @property 或方法
+  is_heating: bool
+  status: str
 ```
 
 **注意事项**：
-- 系统会查找所有 `get_` 开头的方法和 `@property` 装饰的属性
+
+- 仅有带 `@topic_config` 装饰器的 `@property` 或方法才会被识别为状态属性
+- 没有 `@topic_config` 的 `@property` 不会生成 status_types，也不会广播
+- `get_` 前缀的方法名会自动去除前缀（如 `get_temperature` → `temperature`）
 - 类型会自动转成相应的类型（如 `str`、`float`、`bool`）
 - 如果类型是 `Any`、`None` 或未知的，默认使用 `String`
 
@@ -459,20 +470,21 @@ init_param_schema:
 ```
 
 **生成规则**：
+
 - `config` 部分：分析 `__init__` 方法的参数、类型和默认值
 - `data` 部分：根据 `status_types` 生成前端显示用的类型定义
 
 ### 其他自动填充的字段
 
 ```yaml
-version: '1.0.0'          # 默认版本
-category: ['文件名']       # 使用 yaml 文件名作为类别
-description: ''           # 默认为空
-icon: ''                  # 默认为空
-handles: []               # 默认空数组
-config_info: []           # 默认空数组
+version: '1.0.0' # 默认版本
+category: ['文件名'] # 使用 yaml 文件名作为类别
+description: '' # 默认为空
+icon: '' # 默认为空
+handles: [] # 默认空数组
+config_info: [] # 默认空数组
 file_path: '/path/to/file' # 系统自动填写
-registry_type: 'device'   # 自动设为设备类型
+registry_type: 'device' # 自动设为设备类型
 ```
 
 ### handles 字段
@@ -510,7 +522,7 @@ config_info: # 嵌套配置，用于包含子设备
 
 ## 完整示例
 
-### Python驱动代码
+### Python 驱动代码
 
 ```python
 # unilabos/devices/my_lab/liquid_handler.py
@@ -520,22 +532,24 @@ from typing import List, Dict, Any, Optional
 
 class AdvancedLiquidHandler:
     """高级液体处理工作站"""
-    
+
     def __init__(self, config: Dict[str, Any]):
         self.simulation = config.get('simulation', False)
         self._status = "idle"
         self._temperature = 25.0
-    
+
     @property
+    @topic_config()
     def status(self) -> str:
         """设备状态"""
         return self._status
-    
+
     @property
+    @topic_config()
     def temperature(self) -> float:
         """当前温度"""
         return self._temperature
-    
+
     def transfer(
         self,
         source: ResourceSlot,
@@ -545,7 +559,7 @@ class AdvancedLiquidHandler:
     ) -> Dict[str, Any]:
         """转移液体"""
         return {"success": True}
-    
+
     def multi_transfer(
         self,
         source: ResourceSlot,
@@ -554,7 +568,7 @@ class AdvancedLiquidHandler:
     ) -> Dict[str, Any]:
         """多目标转移"""
         return {"success": True}
-    
+
     def coordinate_with_heater(
         self,
         plate: ResourceSlot,
@@ -574,12 +588,12 @@ advanced_liquid_handler:
   class:
     module: unilabos.devices.my_lab.liquid_handler:AdvancedLiquidHandler
     type: python
-    
+
     # 自动提取的状态类型
     status_types:
       status: str
       temperature: float
-    
+
     # 自动生成的初始化参数
     init_param_schema:
       config:
@@ -597,7 +611,7 @@ advanced_liquid_handler:
         required:
           - status
         type: object
-    
+
     # 动作映射
     action_value_mappings:
       transfer:
@@ -613,28 +627,28 @@ advanced_liquid_handler:
           volume: 0.0
           tip: null
         placeholder_keys:
-          source: unilabos_resources      # 自动添加
-          target: unilabos_resources      # 自动添加
-          tip: unilabos_resources         # 自动添加
+          source: unilabos_resources # 自动添加
+          target: unilabos_resources # 自动添加
+          tip: unilabos_resources # 自动添加
         result:
           success: success
         schema:
-          description: "转移液体"
+          description: '转移液体'
           properties:
             goal:
               properties:
                 source:
                   type: object
-                  description: "源容器"
+                  description: '源容器'
                 target:
                   type: object
-                  description: "目标容器"
+                  description: '目标容器'
                 volume:
                   type: number
-                  description: "体积(μL)"
+                  description: '体积(μL)'
                 tip:
                   type: object
-                  description: "枪头(可选)"
+                  description: '枪头(可选)'
               required:
                 - source
                 - target
@@ -643,7 +657,7 @@ advanced_liquid_handler:
           required:
             - goal
           type: object
-      
+
       multi_transfer:
         type: UniLabJsonCommand
         goal:
@@ -651,11 +665,11 @@ advanced_liquid_handler:
           targets: targets
           volumes: volumes
         placeholder_keys:
-          source: unilabos_resources      # 单选
-          targets: unilabos_resources     # 多选
+          source: unilabos_resources # 单选
+          targets: unilabos_resources # 多选
         result:
           success: success
-      
+
       coordinate_with_heater:
         type: UniLabJsonCommand
         goal:
@@ -663,17 +677,17 @@ advanced_liquid_handler:
           heater: heater
           temperature: temperature
         placeholder_keys:
-          plate: unilabos_resources       # 资源选择
-          heater: unilabos_devices        # 设备选择
+          plate: unilabos_resources # 资源选择
+          heater: unilabos_devices # 设备选择
         result:
           success: success
-  
-  description: "高级液体处理工作站，支持多目标转移和设备协同"
-  version: "1.0.0"
+
+  description: '高级液体处理工作站，支持多目标转移和设备协同'
+  version: '1.0.0'
   category:
     - liquid_handling
   handles: []
-  icon: ""
+  icon: ''
 ```
 
 ### 另一个完整示例：温度控制器
@@ -799,21 +813,23 @@ my_temperature_controller:
 你的设备类需要符合以下要求：
 
 ```python
-from unilabos.common.device_base import DeviceBase
+from unilabos.registry.decorators import device, topic_config
 
-class MyDevice(DeviceBase):
+@device(id="my_device", category=["temperature"], description="My Device")
+class MyDevice:
     def __init__(self, config):
         """初始化，参数会自动分析到 init_param_schema.config"""
-        super().__init__(config)
         self.port = config.get('port', '/dev/ttyUSB0')
 
-    # 状态方法（会自动生成到 status_types）
+    # 状态方法（必须添加 @topic_config 才会生成到 status_types 并广播）
     @property
+    @topic_config()
     def status(self):
         """返回设备状态"""
         return "idle"
 
     @property
+    @topic_config()
     def temperature(self):
         """返回当前温度"""
         return 25.0
@@ -892,17 +908,18 @@ unilab -g dev.json --complete_registry
 cat unilabos/registry/devices/my_device.yaml
 ```
 
-### 2. 验证placeholder_keys
+### 2. 验证 placeholder_keys
 
 确认：
-- ResourceSlot参数有 `unilabos_resources`
-- DeviceSlot参数有 `unilabos_devices`
-- List类型被正确识别
+
+- ResourceSlot 参数有 `unilabos_resources`
+- DeviceSlot 参数有 `unilabos_devices`
+- List 类型被正确识别
 
 ### 3. 测试前端效果
 
-1. 启动Uni-Lab
-2. 访问Web界面
+1. 启动 Uni-Lab
+2. 访问 Web 界面
 3. 选择设备
 4. 调用动作
 5. 检查是否显示正确的选择器
@@ -916,18 +933,21 @@ python -c "from unilabos.devices.my_module.my_device import MyDevice"
 
 ## 常见问题
 
-### Q1: placeholder_keys没有自动生成
+### Q1: placeholder_keys 没有自动生成
 
 **检查**:
+
 1. 是否使用了`--complete_registry`参数？
 2. 类型注解是否正确？
+
    ```python
    # ✓ 正确
    def method(self, resource: ResourceSlot):
-   
+
    # ✗ 错误（缺少类型注解）
    def method(self, resource):
    ```
+
 3. 是否正确导入？
    ```python
    from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
@@ -935,9 +955,10 @@ python -c "from unilabos.devices.my_module.my_device import MyDevice"
 
 ### Q2: 前端显示普通输入框而不是选择器
 
-**原因**: placeholder_keys未正确配置
+**原因**: placeholder_keys 未正确配置
 
 **解决**:
+
 ```yaml
 # 检查YAML中是否有
 placeholder_keys:
@@ -947,6 +968,7 @@ placeholder_keys:
 ### Q3: 多选不工作
 
 **检查类型注解**:
+
 ```python
 # ✓ 正确 - 会生成多选
 def method(self, resources: List[ResourceSlot]):
@@ -960,13 +982,15 @@ def method(self, resources: ResourceSlot):
 **说明**: 运行时会自动转换
 
 前端传递：
+
 ```json
 {
-  "resource": "plate_1"  // 字符串ID
+  "resource": "plate_1" // 字符串ID
 }
 ```
 
 运行时收到：
+
 ```python
 resource.id        # "plate_1"
 resource.name      # "96孔板"
@@ -977,6 +1001,7 @@ resource.type      # "resource"
 ### Q5: 设备加载不了
 
 **检查**:
+
 1. 确认 `class.module` 路径是否正确
 2. 确认 Python 驱动类能否正常导入
 3. 使用 yaml 验证器检查文件格式
@@ -985,6 +1010,7 @@ resource.type      # "resource"
 ### Q6: 自动生成失败
 
 **检查**:
+
 1. 确认类继承了正确的基类
 2. 确保状态方法的返回类型注解清晰
 3. 检查类能否被动态导入
@@ -993,6 +1019,7 @@ resource.type      # "resource"
 ### Q7: 前端显示问题
 
 **解决步骤**:
+
 1. 删除旧的 yaml 文件，用编辑器重新生成
 2. 清除浏览器缓存，重新加载页面
 3. 确认必需字段（如 `schema`）都存在
@@ -1001,6 +1028,7 @@ resource.type      # "resource"
 ### Q8: 动作执行出错
 
 **检查**:
+
 1. 确认动作方法名符合规范（如 `execute_<action_name>`）
 2. 检查 `goal` 字段的参数映射是否正确
 3. 确认方法返回值格式符合 `result` 映射
@@ -1017,7 +1045,34 @@ resource.type      # "resource"
 
 ### 代码规范
 
-1. **始终使用类型注解**
+1. **使用 `@device` 装饰器标识设备类**
+
+```python
+from unilabos.registry.decorators import device
+
+@device(id="my_device", category=["heating"], description="My Device")
+class MyDevice:
+    ...
+```
+
+2. **使用 `@topic_config` 声明广播属性**
+
+```python
+from unilabos.registry.decorators import topic_config
+
+# ✓ 需要广播的状态属性
+@property
+@topic_config(period=2.0)
+def temperature(self) -> float:
+    return self._temp
+
+# ✗ 仅有 @property 不会广播
+@property
+def internal_counter(self) -> int:
+    return self._counter
+```
+
+3. **始终使用类型注解**
 
 ```python
 # ✓ 好
@@ -1029,7 +1084,7 @@ def method(self, resource, device):
     pass
 ```
 
-2. **提供有意义的参数名**
+4. **提供有意义的参数名**
 
 ```python
 # ✓ 好 - 清晰的参数名
@@ -1041,7 +1096,7 @@ def transfer(self, r1: ResourceSlot, r2: ResourceSlot):
     pass
 ```
 
-3. **使用Optional表示可选参数**
+5. **使用 Optional 表示可选参数**
 
 ```python
 from typing import Optional
@@ -1054,7 +1109,7 @@ def method(
     pass
 ```
 
-4. **添加详细的文档字符串**
+6. **添加详细的文档字符串**
 
 ```python
 def method(
@@ -1063,23 +1118,24 @@ def method(
     targets: List[ResourceSlot]  # 目标容器列表
 ) -> Dict[str, Any]:
     """方法说明
-    
+
     Args:
         source: 源容器，必须包含足够的液体
         targets: 目标容器列表，每个容器应该为空
-    
+
     Returns:
         包含操作结果的字典
     """
     pass
 ```
 
-5. **方法命名规范**
-   - 状态方法使用 `@property` 装饰器或 `get_` 前缀
+7. **方法命名规范**
+
+   - 状态方法使用 `@property` + `@topic_config` 装饰器，或普通方法 + `@topic_config`
    - 动作方法使用动词开头
    - 保持命名清晰、一致
 
-6. **完善的错误处理**
+8. **完善的错误处理**
    - 实现完善的错误处理
    - 添加日志记录
    - 提供有意义的错误信息
@@ -1111,8 +1167,6 @@ def method(
 
 - {doc}`add_device` - 设备驱动编写指南
 - {doc}`04_add_device_testing` - 设备测试指南
-- Python [typing模块](https://docs.python.org/3/library/typing.html)
-- [YAML语法](https://yaml.org/)
+- Python [typing 模块](https://docs.python.org/3/library/typing.html)
+- [YAML 语法](https://yaml.org/)
 - [JSON Schema](https://json-schema.org/)
-
-

docs/developer_guide/examples/battery_plc_workstation.md

@@ -1,4 +1,4 @@
-# 实例：电池装配工站接入（PLC控制）
+# 实例：电池装配工站接入（PLC 控制）
 
 > **文档类型**：实际应用案例  
 > **适用场景**：使用 PLC 控制的电池装配工站接入  
@@ -50,8 +50,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
         self.client = tcp.register_node_list(self.nodes)
 ```
 
-
-
 ## 2. 编写驱动与寄存器读写
 
 ### 2.1 寄存器示例
@@ -95,9 +93,9 @@ def start_and_read_metrics(self):
 
 完成工站类与驱动后，需要生成（或更新）工站注册表供系统识别。
 
-
 ### 3.1 新增工站设备（或资源）首次生成注册表
-首先通过以下命令启动unilab。进入unilab系统状态检查页面
+
+首先通过以下命令启动 unilab。进入 unilab 系统状态检查页面
 
 ```bash
 python unilabos\app\main.py -g celljson.json --ak <user的AK> --sk <user的SK>
@@ -112,35 +110,32 @@ python unilabos\app\main.py -g celljson.json --ak <user的AK> --sk <user的SK>
 ![注册表生成流程](image_battery_plc/unilab_registry_process.png)
 
 步骤说明：
+
 1. 选择新增的工站`coin_cell_assembly.py`文件
 2. 点击分析按钮，分析`coin_cell_assembly.py`文件
 3. 选择`coin_cell_assembly.py`文件中继承`WorkstationBase`类
-4. 填写新增的工站.py文件与`unilabos`目录的距离。例如，新增的工站文件`coin_cell_assembly.py`路径为`unilabos\devices\workstation\coin_cell_assembly\coin_cell_assembly.py`，则此处填写`unilabos.devices.workstation.coin_cell_assembly`。
+4. 填写新增的工站.py 文件与`unilabos`目录的距离。例如，新增的工站文件`coin_cell_assembly.py`路径为`unilabos\devices\workstation\coin_cell_assembly\coin_cell_assembly.py`，则此处填写`unilabos.devices.workstation.coin_cell_assembly`。
 5. 此处填写新定义工站的类的名字（名称可以自拟）
 6. 填写新的工站注册表备注信息
 7. 生成注册表
 
-以上操作步骤完成，则会生成的新的注册表YAML文件，如下图：
+以上操作步骤完成，则会生成的新的注册表 YAML 文件，如下图：
 
 ![生成的YAML文件](image_battery_plc/unilab_new_yaml.png)
 
-
-
-
-
-
 ### 3.2 添加新生成注册表
-在`unilabos\registry\devices`目录下新建一个yaml文件，此处新建文件命名为`coincellassemblyworkstation_device.yaml`，将上面生成的新的注册表信息粘贴到`coincellassemblyworkstation_device.yaml`文件中。   
+
+在`unilabos\registry\devices`目录下新建一个 yaml 文件，此处新建文件命名为`coincellassemblyworkstation_device.yaml`，将上面生成的新的注册表信息粘贴到`coincellassemblyworkstation_device.yaml`文件中。
 
 在终端输入以下命令进行注册表补全操作。
+
 ```bash
 python unilabos\app\register.py --complete_registry
 ```
 
-
 ### 3.3 启动并上传注册表
 
-新增设备之后，启动unilab需要增加`--upload_registry`参数，来上传注册表信息。
+新增设备之后，启动 unilab 需要增加`--upload_registry`参数，来上传注册表信息。
 
 ```bash
 python unilabos\app\main.py -g celljson.json --ak <user的AK> --sk <user的SK> --upload_registry
@@ -159,6 +154,7 @@ module: unilabos.devices.workstation.coin_cell_assembly.coin_cell_assembly:CoinC
 ### 4.2 首次接入流程
 
 首次新增设备（或资源）需要完整流程：
+
 1. ✅ 在网页端生成注册表信息
 2. ✅ 使用 `--complete_registry` 补全注册表
 3. ✅ 使用 `--upload_registry` 上传注册表信息
@@ -166,11 +162,12 @@ module: unilabos.devices.workstation.coin_cell_assembly.coin_cell_assembly:CoinC
 ### 4.3 驱动更新流程
 
 如果不是新增设备，仅修改了工站驱动的 `.py` 文件：
+
 1. ✅ 运行 `--complete_registry` 补全注册表
 2. ✅ 运行 `--upload_registry` 上传注册表
 3. ❌ 不需要在网页端重新生成注册表
 
-### 4.4 PLC通信注意事项
+### 4.4 PLC 通信注意事项
 
 - **握手机制**：若需参数下发，建议在 PLC 端设置标志寄存器并完成握手复位，避免粘连与竞争
 - **字节序**：FLOAT32 等多字节数据类型需要正确指定字节序（如 `WorderOrder.LITTLE`）
@@ -203,5 +200,3 @@ module: unilabos.devices.workstation.coin_cell_assembly.coin_cell_assembly:CoinC
 5. ✅ 新增设备与更新驱动的区别
 
 这个案例展示了完整的 PLC 设备接入流程，可以作为其他类似设备接入的参考模板。
-
-

docs/developer_guide/examples/workstation_architecture.md

@@ -16,8 +16,8 @@
 
 这类工站由开发者自研，组合所有子设备和实验耗材、希望让他们在工作站这一级协调配合；
 
-1. 工作站包含大量已经注册的子设备，可能各自通信组态很不相同；部分设备可能会拥有同一个通信设备作为出口，如2个泵共用1个串口、所有设备共同接入PLC等。
-2. 任务系统是统一实现的 protocols，protocols 中会将高层指令处理成各子设备配合的工作流 json并管理执行、同时更改物料信息
+1. 工作站包含大量已经注册的子设备，可能各自通信组态很不相同；部分设备可能会拥有同一个通信设备作为出口，如 2 个泵共用 1 个串口、所有设备共同接入 PLC 等。
+2. 任务系统是统一实现的 protocols，protocols 中会将高层指令处理成各子设备配合的工作流 json 并管理执行、同时更改物料信息
 3. 物料系统较为简单直接，如常量有机化学仅为工作站内固定的瓶子，初始化时就已固定；随后在任务执行过程中，记录试剂量更改信息
 
 ### 0.2 移液工作站：物料系统和工作流模板管理
@@ -35,7 +35,7 @@
 由厂家开发，具备完善的物料系统、任务系统甚至调度系统；由 PLC 或 OpenAPI TCP 协议统一通信
 
 1. 在监控状态时，希望展现子设备的状态；但子设备仅为逻辑概念，通信由工作站上位机接口提供；部分情况下，子设备状态是被记录在文件中的，需要读取
-2. 工作站有自己的工作流系统甚至调度系统；可以通过脚本/PLC连续读写来配置工作站可用的工作流；
+2. 工作站有自己的工作流系统甚至调度系统；可以通过脚本/PLC 连续读写来配置工作站可用的工作流；
 3. 部分拥有完善的物料入库、出库、过程记录，需要与 Uni-Lab-OS 物料系统对接
 
 ## 1. 整体架构图
@@ -49,7 +49,7 @@ graph TB
         RPN[ROS2WorkstationNode<br/>Protocol执行引擎]
         WB -.post_init关联.-> RPN
     end
-    
+
     subgraph "物料管理系统"
         DECK[Deck<br/>PLR本地物料系统]
         RS[ResourceSynchronizer<br/>外部物料同步器]
@@ -57,7 +57,7 @@ graph TB
         WB --> RS
         RS --> DECK
     end
-    
+
     subgraph "通信与子设备管理"
         HW[hardware_interface<br/>硬件通信接口]
         SUBDEV[子设备集合<br/>pumps/grippers/sensors]
@@ -65,7 +65,7 @@ graph TB
         RPN --> SUBDEV
         HW -.代理模式.-> RPN
     end
-    
+
     subgraph "工作流任务系统"
         PROTO[Protocol定义<br/>LiquidHandling/PlateHandling]
         WORKFLOW[Workflow执行器<br/>步骤管理与编排]
@@ -85,32 +85,32 @@ graph LR
         HW2[通信接口<br/>hardware_interface]
         HTTP[HTTP服务<br/>WorkstationHTTPService]
     end
-    
+
     subgraph "外部物料系统"
         BIOYOND[Bioyond物料管理]
         LIMS[LIMS系统]
         WAREHOUSE[第三方仓储]
     end
-    
+
     subgraph "外部硬件系统"
         PLC[PLC设备]
         SERIAL[串口设备]
         ROBOT[机械臂/机器人]
     end
-    
+
     subgraph "云端系统"
         CLOUD[UniLab云端<br/>资源管理]
         MONITOR[监控与调度]
     end
-    
+
     BIOYOND <-->|RPC双向同步| DECK2
     LIMS -->|HTTP报送| HTTP
     WAREHOUSE <-->|API对接| DECK2
-    
+
     PLC <-->|Modbus TCP| HW2
     SERIAL <-->|串口通信| HW2
     ROBOT <-->|SDK/API| HW2
-    
+
     WS -->|ROS消息| CLOUD
     CLOUD -->|任务下发| WS
     MONITOR -->|状态查询| WS
@@ -123,40 +123,40 @@ graph TB
     subgraph "工作站基类"
         BASE[WorkstationBase<br/>抽象基类]
     end
-    
+
     subgraph "Bioyond集成工作站"
         BW[BioyondWorkstation]
         BW_DECK[Deck + Warehouses]
         BW_SYNC[BioyondResourceSynchronizer]
         BW_HW[BioyondV1RPC]
         BW_HTTP[HTTP报送服务]
-        
+
         BW --> BW_DECK
         BW --> BW_SYNC
         BW --> BW_HW
         BW --> BW_HTTP
     end
-    
+
     subgraph "纯协议节点"
         PN[ProtocolNode]
         PN_SUB[子设备集合]
         PN_PROTO[Protocol工作流]
-        
+
         PN --> PN_SUB
         PN --> PN_PROTO
     end
-    
+
     subgraph "PLC控制工作站"
         PW[PLCWorkstation]
         PW_DECK[Deck物料系统]
         PW_PLC[Modbus PLC客户端]
         PW_WF[工作流定义]
-        
+
         PW --> PW_DECK
         PW --> PW_PLC
         PW --> PW_WF
     end
-    
+
     BASE -.继承.-> BW
     BASE -.继承.-> PN
     BASE -.继承.-> PW
@@ -175,25 +175,25 @@ classDiagram
         +hardware_interface: Union[Any, str]
         +current_workflow_status: WorkflowStatus
         +supported_workflows: Dict[str, WorkflowInfo]
-    
+
         +post_init(ros_node)*
         +set_hardware_interface(interface)
         +call_device_method(method, *args, **kwargs)
         +get_device_status()
         +is_device_available()
-    
+
         +get_deck()
         +get_all_resources()
         +find_resource_by_name(name)
         +find_resources_by_type(type)
         +sync_with_external_system()
-    
+
         +execute_workflow(name, params)
         +stop_workflow(emergency)
         +workflow_status
         +is_busy
     }
-  
+
     class ROS2WorkstationNode {
         +device_id: str
         +children: Dict[str, Any]
@@ -202,7 +202,7 @@ classDiagram
         +_action_clients: Dict
         +_action_servers: Dict
         +resource_tracker: DeviceNodeResourceTracker
-    
+
         +initialize_device(device_id, config)
         +create_ros_action_server(action_name, mapping)
         +execute_single_action(device_id, action, kwargs)
@@ -210,14 +210,14 @@ classDiagram
         +transfer_resource_to_another(resources, target, sites)
         +_setup_hardware_proxy(device, comm_device, read, write)
     }
-  
+
     %% 物料管理相关类
     class Deck {
         +name: str
         +children: List
         +assign_child_resource()
     }
-  
+
     class ResourceSynchronizer {
         <<abstract>>
         +workstation: WorkstationBase
@@ -225,23 +225,23 @@ classDiagram
         +sync_to_external(plr_resource)*
         +handle_external_change(change_info)*
     }
-  
+
     class BioyondResourceSynchronizer {
         +bioyond_api_client: BioyondV1RPC
         +sync_interval: int
         +last_sync_time: float
-    
+
         +initialize()
         +sync_from_external()
         +sync_to_external(resource)
         +handle_external_change(change_info)
     }
-  
+
     %% 硬件接口相关类
     class HardwareInterface {
         <<interface>>
     }
-  
+
     class BioyondV1RPC {
         +base_url: str
         +api_key: str
@@ -249,7 +249,7 @@ classDiagram
         +add_material()
         +material_inbound()
     }
-  
+
     %% 服务类
     class WorkstationHTTPService {
         +workstation: WorkstationBase
@@ -257,7 +257,7 @@ classDiagram
         +port: int
         +server: HTTPServer
         +running: bool
-    
+
         +start()
         +stop()
         +_handle_step_finish_report()
@@ -266,13 +266,13 @@ classDiagram
         +_handle_material_change_report()
         +_handle_error_handling_report()
     }
-  
+
     %% 具体实现类
     class BioyondWorkstation {
         +bioyond_config: Dict
         +workflow_mappings: Dict
         +workflow_sequence: List
-    
+
         +post_init(ros_node)
         +transfer_resource_to_another()
         +resource_tree_add(resources)
@@ -280,25 +280,25 @@ classDiagram
         +get_all_workflows()
         +get_bioyond_status()
     }
-  
+
     class ProtocolNode {
         +post_init(ros_node)
     }
-  
+
     %% 核心关系
     WorkstationBase o-- ROS2WorkstationNode : post_init关联
     WorkstationBase o-- WorkstationHTTPService : 可选服务
-  
+
     %% 物料管理侧
     WorkstationBase *-- Deck : deck
     WorkstationBase *-- ResourceSynchronizer : 可选组合
     ResourceSynchronizer <|-- BioyondResourceSynchronizer
-  
+
     %% 硬件接口侧
     WorkstationBase o-- HardwareInterface : hardware_interface
     HardwareInterface <|.. BioyondV1RPC : 实现
     BioyondResourceSynchronizer --> BioyondV1RPC : 使用
-  
+
     %% 继承关系
     BioyondWorkstation --|> WorkstationBase
     ProtocolNode --|> WorkstationBase
@@ -316,49 +316,49 @@ sequenceDiagram
     participant HW as HardwareInterface
     participant ROS as ROS2WorkstationNode
     participant HTTP as HTTPService
-  
+
     APP->>WS: 创建工作站实例(__init__)
     WS->>DECK: 初始化PLR Deck
     DECK->>DECK: 创建Warehouse等子资源
     DECK-->>WS: Deck创建完成
-  
+
     WS->>HW: 创建硬件接口(如BioyondV1RPC)
     HW->>HW: 建立连接(PLC/RPC/串口等)
     HW-->>WS: 硬件接口就绪
-  
+
     WS->>SYNC: 创建ResourceSynchronizer(可选)
     SYNC->>HW: 使用hardware_interface
     SYNC->>SYNC: 初始化同步配置
     SYNC-->>WS: 同步器创建完成
-  
+
     WS->>SYNC: sync_from_external()
     SYNC->>HW: 查询外部物料系统
     HW-->>SYNC: 返回物料数据
     SYNC->>DECK: 转换并添加到Deck
     SYNC-->>WS: 同步完成
-  
+
     Note over WS: __init__完成,等待ROS节点
-  
+
     APP->>ROS: 初始化ROS2WorkstationNode
     ROS->>ROS: 初始化子设备(children)
     ROS->>ROS: 创建Action客户端
     ROS->>ROS: 设置硬件接口代理
     ROS-->>APP: ROS节点就绪
-  
+
     APP->>WS: post_init(ros_node)
     WS->>WS: self._ros_node = ros_node
     WS->>ROS: update_resource([deck])
     ROS->>ROS: 上传物料到云端
     ROS-->>WS: 上传完成
-  
+
     WS->>HTTP: 创建WorkstationHTTPService(可选)
     HTTP->>HTTP: 启动HTTP服务器线程
     HTTP-->>WS: HTTP服务启动
-  
+
     WS-->>APP: 工作站完全就绪
 ```
 
-## 4. 工作流执行时序图（Protocol模式）
+## 4. 工作流执行时序图（Protocol 模式）
 
 ```{mermaid}
 sequenceDiagram
@@ -369,15 +369,15 @@ sequenceDiagram
     participant DECK as PLR Deck
     participant CLOUD as 云端资源管理
     participant DEV as 子设备
-  
+
     CLIENT->>ROS: 发送Protocol Action请求
     ROS->>ROS: execute_protocol回调
     ROS->>ROS: 从Goal提取参数
     ROS->>ROS: 调用protocol_steps_generator
     ROS->>ROS: 生成action步骤列表
-  
+
     ROS->>WS: 更新workflow_status = RUNNING
-  
+
     loop 执行每个步骤
         alt 调用子设备
             ROS->>ROS: execute_single_action(device_id, action, params)
@@ -398,19 +398,19 @@ sequenceDiagram
             end
             WS-->>ROS: 返回结果
         end
-    
+
         ROS->>DECK: 更新本地物料状态
         DECK->>DECK: 修改PLR资源属性
     end
-  
+
     ROS->>CLOUD: 同步物料到云端(可选)
     CLOUD-->>ROS: 同步完成
-  
+
     ROS->>WS: 更新workflow_status = COMPLETED
     ROS-->>CLIENT: 返回Protocol Result
 ```
 
-## 5. HTTP报送处理时序图
+## 5. HTTP 报送处理时序图
 
 ```{mermaid}
 sequenceDiagram
@@ -420,25 +420,25 @@ sequenceDiagram
     participant DECK as PLR Deck
     participant SYNC as ResourceSynchronizer
     participant CLOUD as 云端
-  
+
     EXT->>HTTP: POST /report/step_finish
     HTTP->>HTTP: 解析请求数据
     HTTP->>HTTP: 验证LIMS协议字段
     HTTP->>WS: process_step_finish_report(request)
-  
+
     WS->>WS: 增加接收计数(_reports_received_count++)
     WS->>WS: 记录步骤完成事件
     WS->>DECK: 更新相关物料状态(可选)
     DECK->>DECK: 修改PLR资源状态
-  
+
     WS->>WS: 保存报送记录到内存
-  
+
     WS-->>HTTP: 返回处理结果
     HTTP->>HTTP: 构造HTTP响应
     HTTP-->>EXT: 200 OK + acknowledgment_id
-  
+
     Note over EXT,CLOUD: 类似处理sample_finish, order_finish等报送
-  
+
     alt 物料变更报送
         EXT->>HTTP: POST /report/material_change
         HTTP->>WS: process_material_change_report(data)
@@ -463,7 +463,7 @@ sequenceDiagram
     participant HW as HardwareInterface
     participant HTTP as HTTPService
     participant LOG as 日志系统
-  
+
     alt 设备错误(ROS Action失败)
         DEV->>ROS: Action返回失败结果
         ROS->>ROS: 记录错误信息
@@ -475,7 +475,7 @@ sequenceDiagram
         WS->>WS: 记录错误历史
         WS->>LOG: 记录错误日志
     end
-  
+
     alt 关键错误需要停止
         WS->>ROS: stop_workflow(emergency=True)
         ROS->>ROS: 取消所有进行中的Action
@@ -487,44 +487,44 @@ sequenceDiagram
         WS->>ROS: 触发重试逻辑(可选)
         ROS->>DEV: 重新发送Action
     end
-  
+
     WS-->>HTTP: 返回错误处理结果
     HTTP-->>DEV: 200 OK + 处理状态
 ```
 
 ## 7. 典型工作站实现示例
 
-### 7.1 Bioyond集成工作站实现
+### 7.1 Bioyond 集成工作站实现
 
 ```python
 class BioyondWorkstation(WorkstationBase):
     def __init__(self, bioyond_config: Dict, deck: Deck, *args, **kwargs):
         # 初始化deck
         super().__init__(deck=deck, *args, **kwargs)
-      
+
         # 设置硬件接口为Bioyond RPC客户端
         self.hardware_interface = BioyondV1RPC(bioyond_config)
-      
+
         # 创建资源同步器
         self.resource_synchronizer = BioyondResourceSynchronizer(self)
-      
+
         # 从Bioyond同步物料到本地deck
         self.resource_synchronizer.sync_from_external()
-      
+
         # 配置工作流
         self.workflow_mappings = bioyond_config.get("workflow_mappings", {})
-  
+
     def post_init(self, ros_node: ROS2WorkstationNode):
         """ROS节点就绪后的初始化"""
         self._ros_node = ros_node
-      
+
         # 上传deck(包括所有物料)到云端
         ROS2DeviceNode.run_async_func(
-            self._ros_node.update_resource, 
-            True, 
+            self._ros_node.update_resource,
+            True,
             resources=[self.deck]
         )
-  
+
     def resource_tree_add(self, resources: List[ResourcePLR]):
         """添加物料并同步到Bioyond"""
         for resource in resources:
@@ -537,24 +537,24 @@ class BioyondWorkstation(WorkstationBase):
 ```python
 class ProtocolNode(WorkstationBase):
     """纯协议节点,不需要物料管理和外部通信"""
-  
+
     def __init__(self, deck: Optional[Deck] = None, *args, **kwargs):
         super().__init__(deck=deck, *args, **kwargs)
         # 不设置hardware_interface和resource_synchronizer
         # 所有功能通过子设备协同完成
-  
+
     def post_init(self, ros_node: ROS2WorkstationNode):
         self._ros_node = ros_node
         # 不需要上传物料或其他初始化
 ```
 
-### 7.3 PLC直接控制工作站
+### 7.3 PLC 直接控制工作站
 
 ```python
 class PLCWorkstation(WorkstationBase):
     def __init__(self, plc_config: Dict, deck: Deck, *args, **kwargs):
         super().__init__(deck=deck, *args, **kwargs)
-      
+
         # 设置硬件接口为Modbus客户端
         from pymodbus.client import ModbusTcpClient
         self.hardware_interface = ModbusTcpClient(
@@ -562,7 +562,7 @@ class PLCWorkstation(WorkstationBase):
             port=plc_config["port"]
         )
         self.hardware_interface.connect()
-      
+
         # 定义支持的工作流
         self.supported_workflows = {
             "battery_assembly": WorkflowInfo(
@@ -574,49 +574,49 @@ class PLCWorkstation(WorkstationBase):
                 parameters_schema={"quantity": int, "model": str}
             )
         }
-  
+
     def execute_workflow(self, workflow_name: str, parameters: Dict):
         """通过PLC执行工作流"""
         workflow_id = self._get_workflow_id(workflow_name)
-      
+
         # 写入PLC寄存器启动工作流
         self.hardware_interface.write_register(100, workflow_id)
         self.hardware_interface.write_register(101, parameters["quantity"])
-      
+
         self.current_workflow_status = WorkflowStatus.RUNNING
         return True
 ```
 
 ## 8. 核心接口说明
 
-### 8.1 WorkstationBase核心属性
+### 8.1 WorkstationBase 核心属性
 
-| 属性                        | 类型                    | 说明                          |
-| --------------------------- | ----------------------- | ----------------------------- |
-| `_ros_node`               | ROS2WorkstationNode     | ROS节点引用，由post_init设置  |
-| `deck`                    | Deck                    | PyLabRobot Deck，本地物料系统 |
-| `plr_resources`           | Dict[str, PLRResource]  | 物料资源映射                  |
-| `resource_synchronizer`   | ResourceSynchronizer    | 外部物料同步器(可选)          |
-| `hardware_interface`      | Union[Any, str]         | 硬件接口或代理字符串          |
-| `current_workflow_status` | WorkflowStatus          | 当前工作流状态                |
-| `supported_workflows`     | Dict[str, WorkflowInfo] | 支持的工作流定义              |
+| 属性                      | 类型                    | 说明                            |
+| ------------------------- | ----------------------- | ------------------------------- |
+| `_ros_node`               | ROS2WorkstationNode     | ROS 节点引用，由 post_init 设置 |
+| `deck`                    | Deck                    | PyLabRobot Deck，本地物料系统   |
+| `plr_resources`           | Dict[str, PLRResource]  | 物料资源映射                    |
+| `resource_synchronizer`   | ResourceSynchronizer    | 外部物料同步器(可选)            |
+| `hardware_interface`      | Union[Any, str]         | 硬件接口或代理字符串            |
+| `current_workflow_status` | WorkflowStatus          | 当前工作流状态                  |
+| `supported_workflows`     | Dict[str, WorkflowInfo] | 支持的工作流定义                |
 
 ### 8.2 必须实现的方法
 
-- `post_init(ros_node)`: ROS节点就绪后的初始化，必须实现
+- `post_init(ros_node)`: ROS 节点就绪后的初始化，必须实现
 
 ### 8.3 硬件接口相关方法
 
 - `set_hardware_interface(interface)`: 设置硬件接口
 - `call_device_method(method, *args, **kwargs)`: 统一设备方法调用
-  - 支持直接模式: 直接调用hardware_interface的方法
-  - 支持代理模式: hardware_interface="proxy:device_id"通过ROS转发
+  - 支持直接模式: 直接调用 hardware_interface 的方法
+  - 支持代理模式: hardware_interface="proxy:device_id"通过 ROS 转发
 - `get_device_status()`: 获取设备状态
 - `is_device_available()`: 检查设备可用性
 
 ### 8.4 物料管理方法
 
-- `get_deck()`: 获取PLR Deck
+- `get_deck()`: 获取 PLR Deck
 - `get_all_resources()`: 获取所有物料
 - `find_resource_by_name(name)`: 按名称查找物料
 - `find_resources_by_type(type)`: 按类型查找物料
@@ -630,7 +630,7 @@ class PLCWorkstation(WorkstationBase):
 - `is_busy`: 检查是否忙碌(属性)
 - `workflow_runtime`: 获取运行时间(属性)
 
-### 8.6 可选的HTTP报送处理方法
+### 8.6 可选的 HTTP 报送处理方法
 
 - `process_step_finish_report()`: 步骤完成处理
 - `process_sample_finish_report()`: 样本完成处理
@@ -638,10 +638,10 @@ class PLCWorkstation(WorkstationBase):
 - `process_material_change_report()`: 物料变更处理
 - `handle_external_error()`: 错误处理
 
-### 8.7 ROS2WorkstationNode核心方法
+### 8.7 ROS2WorkstationNode 核心方法
 
 - `initialize_device(device_id, config)`: 初始化子设备
-- `create_ros_action_server(action_name, mapping)`: 创建Action服务器
+- `create_ros_action_server(action_name, mapping)`: 创建 Action 服务器
 - `execute_single_action(device_id, action, kwargs)`: 执行单个动作
 - `update_resource(resources)`: 同步物料到云端
 - `transfer_resource_to_another(...)`: 跨设备物料转移
@@ -698,7 +698,7 @@ workstation = BioyondWorkstation(
                 "config": {...}
             },
             "gripper_1": {
-                "type": "device", 
+                "type": "device",
                 "driver": "RobotiqGripperDriver",
                 "communication": "io_modbus_1",
                 "config": {...}
@@ -720,7 +720,7 @@ workstation = BioyondWorkstation(
 }
 ```
 
-### 9.3 HTTP服务配置
+### 9.3 HTTP 服务配置
 
 ```python
 from unilabos.devices.workstation.workstation_http_service import WorkstationHTTPService
@@ -741,31 +741,31 @@ http_service.start()
 ### 10.1 清晰的职责分离
 
 - **WorkstationBase**: 负责物料管理(deck)、硬件接口(hardware_interface)、工作流状态管理
-- **ROS2WorkstationNode**: 负责子设备管理、Protocol执行、云端物料同步
-- **ResourceSynchronizer**: 可选的外部物料系统同步(如Bioyond)
-- **WorkstationHTTPService**: 可选的HTTP报送接收服务
+- **ROS2WorkstationNode**: 负责子设备管理、Protocol 执行、云端物料同步
+- **ResourceSynchronizer**: 可选的外部物料系统同步(如 Bioyond)
+- **WorkstationHTTPService**: 可选的 HTTP 报送接收服务
 
 ### 10.2 灵活的硬件接口模式
 
-1. **直接模式**: hardware_interface是具体对象(如BioyondV1RPC、ModbusClient)
-2. **代理模式**: hardware_interface="proxy:device_id"，通过ROS节点转发到子设备
+1. **直接模式**: hardware_interface 是具体对象(如 BioyondV1RPC、ModbusClient)
+2. **代理模式**: hardware_interface="proxy:device_id"，通过 ROS 节点转发到子设备
 3. **混合模式**: 工作站有自己的接口，同时管理多个子设备
 
 ### 10.3 统一的物料系统
 
-- 基于PyLabRobot Deck的标准化物料表示
-- 通过ResourceSynchronizer实现与外部系统(如Bioyond、LIMS)的双向同步
-- 通过ROS2WorkstationNode实现与云端的物料状态同步
+- 基于 PyLabRobot Deck 的标准化物料表示
+- 通过 ResourceSynchronizer 实现与外部系统(如 Bioyond、LIMS)的双向同步
+- 通过 ROS2WorkstationNode 实现与云端的物料状态同步
 
-### 10.4 Protocol驱动的工作流
+### 10.4 Protocol 驱动的工作流
 
-- ROS2WorkstationNode负责Protocol的执行和步骤管理
-- 支持子设备协同(通过Action Client调用)
-- 支持工作站直接控制(通过hardware_interface)
+- ROS2WorkstationNode 负责 Protocol 的执行和步骤管理
+- 支持子设备协同(通过 Action Client 调用)
+- 支持工作站直接控制(通过 hardware_interface)
 
-### 10.5 可选的HTTP报送服务
+### 10.5 可选的 HTTP 报送服务
 
-- 基于LIMS协议规范的统一报送接口
+- 基于 LIMS 协议规范的统一报送接口
 - 支持步骤完成、样本完成、任务完成、物料变更等多种报送类型
 - 与工作站解耦，可独立启停
 

docs/developer_guide/http_api.md

@@ -0,0 +1,334 @@
+# HTTP API 指南
+
+本文档介绍如何通过 HTTP API 与 Uni-Lab-OS 进行交互，包括查询设备、提交任务和获取结果。
+
+## 概述
+
+Uni-Lab-OS 提供 RESTful HTTP API，允许外部系统通过标准 HTTP 请求控制实验室设备。API 基于 FastAPI 构建，默认运行在 `http://localhost:8002`。
+
+### 基础信息
+
+- **Base URL**: `http://localhost:8002/api/v1`
+- **Content-Type**: `application/json`
+- **响应格式**: JSON
+
+### 通用响应结构
+
+```json
+{
+    "code": 0,
+    "data": { ... },
+    "message": "success"
+}
+```
+
+| 字段      | 类型   | 说明               |
+| --------- | ------ | ------------------ |
+| `code`    | int    | 状态码，0 表示成功 |
+| `data`    | object | 响应数据           |
+| `message` | string | 响应消息           |
+
+## 快速开始
+
+以下是一个完整的工作流示例：查询设备 → 获取动作 → 提交任务 → 获取结果。
+
+### 步骤 1: 获取在线设备
+
+```bash
+curl -X GET "http://localhost:8002/api/v1/online-devices"
+```
+
+**响应示例**:
+
+```json
+{
+  "code": 0,
+  "data": {
+    "online_devices": {
+      "host_node": {
+        "device_key": "/host_node",
+        "namespace": "",
+        "machine_name": "本地",
+        "uuid": "xxx-xxx-xxx",
+        "node_name": "host_node"
+      }
+    },
+    "total_count": 1,
+    "timestamp": 1732612345.123
+  },
+  "message": "success"
+}
+```
+
+### 步骤 2: 获取设备可用动作
+
+```bash
+curl -X GET "http://localhost:8002/api/v1/devices/host_node/actions"
+```
+
+**响应示例**:
+
+```json
+{
+  "code": 0,
+  "data": {
+    "device_id": "host_node",
+    "actions": {
+      "test_latency": {
+        "type_name": "unilabos_msgs.action._empty_in.EmptyIn",
+        "type_name_convert": "unilabos_msgs/action/_empty_in/EmptyIn",
+        "action_path": "/devices/host_node/test_latency",
+        "goal_info": "{}",
+        "is_busy": false,
+        "current_job_id": null
+      },
+      "create_resource": {
+        "type_name": "unilabos_msgs.action._resource_create_from_outer_easy.ResourceCreateFromOuterEasy",
+        "action_path": "/devices/host_node/create_resource",
+        "goal_info": "{res_id: '', device_id: '', class_name: '', ...}",
+        "is_busy": false,
+        "current_job_id": null
+      }
+    },
+    "action_count": 5
+  },
+  "message": "success"
+}
+```
+
+**动作状态字段说明**:
+
+| 字段             | 说明                          |
+| ---------------- | ----------------------------- |
+| `type_name`      | 动作类型的完整名称            |
+| `action_path`    | ROS2 动作路径                 |
+| `goal_info`      | 动作参数模板                  |
+| `is_busy`        | 动作是否正在执行              |
+| `current_job_id` | 当前执行的任务 ID（如果繁忙） |
+
+### 步骤 3: 提交任务
+
+```bash
+curl -X POST "http://localhost:8002/api/v1/job/add" \
+  -H "Content-Type: application/json" \
+  -d '{"device_id":"host_node","action":"test_latency","action_args":{}}'
+```
+
+**请求体**:
+
+```json
+{
+  "device_id": "host_node",
+  "action": "test_latency",
+  "action_args": {}
+}
+```
+
+**请求参数说明**:
+
+| 字段          | 类型   | 必填 | 说明                               |
+| ------------- | ------ | ---- | ---------------------------------- |
+| `device_id`   | string | ✓    | 目标设备 ID                        |
+| `action`      | string | ✓    | 动作名称                           |
+| `action_args` | object | ✓    | 动作参数（根据动作类型不同而变化） |
+
+**响应示例**:
+
+```json
+{
+  "code": 0,
+  "data": {
+    "jobId": "b6acb586-733a-42ab-9f73-55c9a52aa8bd",
+    "status": 1,
+    "result": {}
+  },
+  "message": "success"
+}
+```
+
+**任务状态码**:
+
+| 状态码 | 含义      | 说明                           |
+| ------ | --------- | ------------------------------ |
+| 0      | UNKNOWN   | 未知状态                       |
+| 1      | ACCEPTED  | 任务已接受，等待执行           |
+| 2      | EXECUTING | 任务执行中                     |
+| 3      | CANCELING | 任务取消中                     |
+| 4      | SUCCEEDED | 任务成功完成                   |
+| 5      | CANCELED  | 任务已取消                     |
+| 6      | ABORTED   | 任务中止（设备繁忙或执行失败） |
+
+### 步骤 4: 查询任务状态和结果
+
+```bash
+curl -X GET "http://localhost:8002/api/v1/job/b6acb586-733a-42ab-9f73-55c9a52aa8bd/status"
+```
+
+**响应示例（执行中）**:
+
+```json
+{
+  "code": 0,
+  "data": {
+    "jobId": "b6acb586-733a-42ab-9f73-55c9a52aa8bd",
+    "status": 2,
+    "result": {}
+  },
+  "message": "success"
+}
+```
+
+**响应示例（执行完成）**:
+
+```json
+{
+  "code": 0,
+  "data": {
+    "jobId": "b6acb586-733a-42ab-9f73-55c9a52aa8bd",
+    "status": 4,
+    "result": {
+      "error": "",
+      "suc": true,
+      "return_value": {
+        "avg_rtt_ms": 103.99,
+        "avg_time_diff_ms": 7181.55,
+        "max_time_error_ms": 7210.57,
+        "task_delay_ms": -1,
+        "raw_delay_ms": 33.19,
+        "test_count": 5,
+        "status": "success"
+      }
+    }
+  },
+  "message": "success"
+}
+```
+
+> **注意**: 任务结果在首次查询后会被自动删除，请确保保存返回的结果数据。
+
+## API 端点列表
+
+### 设备相关
+
+| 端点                                                       | 方法 | 说明                   |
+| ---------------------------------------------------------- | ---- | ---------------------- |
+| `/api/v1/online-devices`                                   | GET  | 获取在线设备列表       |
+| `/api/v1/devices`                                          | GET  | 获取设备配置           |
+| `/api/v1/devices/{device_id}/actions`                      | GET  | 获取指定设备的可用动作 |
+| `/api/v1/devices/{device_id}/actions/{action_name}/schema` | GET  | 获取动作参数 Schema    |
+| `/api/v1/actions`                                          | GET  | 获取所有设备的可用动作 |
+
+### 任务相关
+
+| 端点                          | 方法 | 说明               |
+| ----------------------------- | ---- | ------------------ |
+| `/api/v1/job/add`             | POST | 提交新任务         |
+| `/api/v1/job/{job_id}/status` | GET  | 查询任务状态和结果 |
+
+### 资源相关
+
+| 端点                | 方法 | 说明         |
+| ------------------- | ---- | ------------ |
+| `/api/v1/resources` | GET  | 获取资源列表 |
+
+## 常见动作示例
+
+### test_latency - 延迟测试
+
+测试系统延迟，无需参数。
+
+```bash
+curl -X POST "http://localhost:8002/api/v1/job/add" \
+  -H "Content-Type: application/json" \
+  -d '{"device_id":"host_node","action":"test_latency","action_args":{}}'
+```
+
+### create_resource - 创建资源
+
+在设备上创建新资源。
+
+```bash
+curl -X POST "http://localhost:8002/api/v1/job/add" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "device_id": "host_node",
+    "action": "create_resource",
+    "action_args": {
+        "res_id": "my_plate",
+        "device_id": "host_node",
+        "class_name": "Plate",
+        "parent": "deck",
+        "bind_locations": {"x": 0, "y": 0, "z": 0}
+    }
+}'
+```
+
+## 错误处理
+
+### 设备繁忙
+
+当设备正在执行其他任务时，提交新任务会返回 `status: 6`（ABORTED）：
+
+```json
+{
+  "code": 0,
+  "data": {
+    "jobId": "xxx",
+    "status": 6,
+    "result": {}
+  },
+  "message": "success"
+}
+```
+
+此时应等待当前任务完成后重试，或使用 `/devices/{device_id}/actions` 检查动作的 `is_busy` 状态。
+
+### 参数错误
+
+```json
+{
+    "code": 2002,
+    "data": { ... },
+    "message": "device_id is required"
+}
+```
+
+## 轮询策略
+
+推荐的任务状态轮询策略：
+
+```python
+import requests
+import time
+
+def wait_for_job(job_id, timeout=60, interval=0.5):
+    """等待任务完成并返回结果"""
+    start_time = time.time()
+
+    while time.time() - start_time < timeout:
+        response = requests.get(f"http://localhost:8002/api/v1/job/{job_id}/status")
+        data = response.json()["data"]
+
+        status = data["status"]
+        if status in (4, 5, 6):  # SUCCEEDED, CANCELED, ABORTED
+            return data
+
+        time.sleep(interval)
+
+    raise TimeoutError(f"Job {job_id} did not complete within {timeout} seconds")
+
+# 使用示例
+response = requests.post(
+    "http://localhost:8002/api/v1/job/add",
+    json={"device_id": "host_node", "action": "test_latency", "action_args": {}}
+)
+job_id = response.json()["data"]["jobId"]
+result = wait_for_job(job_id)
+print(result)
+```
+
+## 相关文档
+
+- [设备注册指南](add_device.md)
+- [动作定义指南](add_action.md)
+- [网络架构概述](networking_overview.md)

docs/developer_guide/networking_overview.md

@@ -221,10 +221,10 @@ Laboratory A    Laboratory B
 
 ```bash
 # 实验室A
-unilab --ak your_ak --sk your_sk --upload_registry --use_remote_resource
+unilab --ak your_ak --sk your_sk --upload_registry
 
 # 实验室B
-unilab --ak your_ak --sk your_sk --upload_registry --use_remote_resource
+unilab --ak your_ak --sk your_sk --upload_registry
 ```
 
 ---
@@ -592,4 +592,3 @@ ros2 topic list
 - [ROS2 网络配置](https://docs.ros.org/en/humble/Tutorials/Advanced/Networking.html)
 - [DDS 配置](https://fast-dds.docs.eprosima.com/)
 - Uni-Lab 云平台文档
-

docs/index.md

@@ -7,3 +7,17 @@ Uni-Lab-OS 是一个开源的实验室自动化操作系统，提供统一的设
 
 intro.md
 ```
+
+## 开发者指南
+
+```{toctree}
+:maxdepth: 2
+
+developer_guide/http_api.md
+developer_guide/networking_overview.md
+developer_guide/add_device.md
+developer_guide/add_action.md
+developer_guide/add_registry.md
+developer_guide/add_yaml.md
+developer_guide/action_includes.md
+```

docs/requirements.txt

@@ -12,3 +12,7 @@ sphinx-copybutton>=0.5.0
 
 # 用于自动摘要生成
 sphinx-autobuild>=2024.2.4
+
+# 用于PDF导出 (rinohtype方案，纯Python无需LaTeX)
+rinohtype>=0.5.4
+sphinx-simplepdf>=1.6.0

docs/user_guide/best_practice.md

@@ -31,6 +31,14 @@
 
 详细的安装步骤请参考 [安装指南](installation.md)。
 
+**选择合适的安装包：**
+
+| 安装包 | 适用场景 | 包含组件 |
+|--------|----------|----------|
+| `unilabos` | **推荐大多数用户**，生产部署 | 完整安装包，开箱即用 |
+| `unilabos-env` | 开发者（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos |
+| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
+
 **关键步骤：**
 
 ```bash
@@ -38,15 +46,30 @@
 # 下载 Miniforge: https://github.com/conda-forge/miniforge/releases
 
 # 2. 创建 Conda 环境
-mamba create -n unilab python=3.11.11
+mamba create -n unilab python=3.11.14
 
 # 3. 激活环境
 mamba activate unilab
 
-# 4. 安装 Uni-Lab-OS
+# 4. 安装 Uni-Lab-OS（选择其一）
+
+# 方案 A：标准安装（推荐大多数用户）
 mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+pip install -e /path/to/Uni-Lab-OS  # 可编辑安装
+uv pip install -r unilabos/utils/requirements.txt  # 安装 pip 依赖
+
+# 方案 C：完整版（仿真/可视化）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
+**选择建议：**
+- **日常使用/生产部署**：使用 `unilabos`（推荐），完整功能，开箱即用
+- **开发者**：使用 `unilabos-env` + `pip install -e .` + `uv pip install -r unilabos/utils/requirements.txt`，代码修改立即生效
+- **仿真/可视化**：使用 `unilabos-full`，含 Gazebo、rviz2、MoveIt
+
 #### 1.2 验证安装
 
 ```bash
@@ -416,6 +439,9 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
 1. 访问 Web 界面，进入"仪器耗材"模块
 2. 在"仪器设备"区域找到并添加上述设备
 3. 在"物料耗材"区域找到并添加容器
+4. 在workstation中配置protocol_type包含PumpTransferProtocol
+
+![添加Protocol类型](image/add_protocol.png)
 
 ![物料列表](image/material.png)
 
@@ -426,8 +452,9 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
 **操作步骤：**
 
 1. 将两个 `container` 拖拽到 `workstation` 中
-2. 将 `virtual_transfer_pump` 拖拽到 `workstation` 中
-3. 在画布上连接它们（建立父子关系）
+2. 将 `virtual_multiway_valve` 拖拽到 `workstation` 中
+3. 将 `virtual_transfer_pump` 拖拽到 `workstation` 中
+4. 在画布上连接它们（建立父子关系）
 
 ![设备连接](image/links.png)
 
@@ -768,7 +795,43 @@ Waiting for host service...
 
 详细的设备驱动编写指南请参考 [添加设备驱动](../developer_guide/add_device.md)。
 
-#### 9.1 为什么需要自定义设备？
+#### 9.1 开发环境准备
+
+**推荐使用 `unilabos-env` + `pip install -e .` + `uv pip install`** 进行设备开发：
+
+```bash
+# 1. 创建环境并安装 unilabos-env（ROS2 + conda 依赖 + uv）
+mamba create -n unilab python=3.11.14
+conda activate unilab
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+
+# 2. 克隆代码
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
+cd Uni-Lab-OS
+
+# 3. 以可编辑模式安装（推荐使用脚本，自动检测中文环境）
+python scripts/dev_install.py
+
+# 或手动安装：
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+```
+
+**为什么使用这种方式？**
+- `unilabos-env` 提供 ROS2 核心组件和 uv（通过 conda 安装，避免编译）
+- `unilabos/utils/requirements.txt` 包含所有运行时需要的 pip 依赖
+- `dev_install.py` 自动检测中文环境，中文系统自动使用清华镜像
+- 使用 `uv` 替代 `pip`，安装速度更快
+- 可编辑模式：代码修改**立即生效**，无需重新安装
+
+**如果安装失败或速度太慢**，可以手动执行（使用清华镜像）：
+
+```bash
+pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+```
+
+#### 9.2 为什么需要自定义设备？
 
 Uni-Lab-OS 内置了常见设备，但您的实验室可能有特殊设备需要集成：
 
@@ -777,7 +840,7 @@ Uni-Lab-OS 内置了常见设备，但您的实验室可能有特殊设备需要
 - 特殊的实验流程
 - 第三方设备集成
 
-#### 9.2 创建 Python 包
+#### 9.3 创建 Python 包
 
 为了方便开发和管理，建议为您的实验室创建独立的 Python 包。
 
@@ -814,7 +877,7 @@ touch my_lab_devices/my_lab_devices/__init__.py
 touch my_lab_devices/my_lab_devices/devices/__init__.py
 ```
 
-#### 9.3 创建 setup.py
+#### 9.4 创建 setup.py
 
 ```python
 # my_lab_devices/setup.py
@@ -845,7 +908,7 @@ setup(
 )
 ```
 
-#### 9.4 开发安装
+#### 9.5 开发安装
 
 使用 `-e` 参数进行可编辑安装，这样代码修改后立即生效：
 
@@ -860,7 +923,7 @@ pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 - 方便调试和测试
 - 支持版本控制（git）
 
-#### 9.5 编写设备驱动
+#### 9.6 编写设备驱动
 
 创建设备驱动文件：
 
@@ -1001,7 +1064,7 @@ class MyPump:
 - **返回 Dict**：所有动作方法返回字典类型
 - **文档字符串**：详细说明参数和功能
 
-#### 9.6 测试设备驱动
+#### 9.7 测试设备驱动
 
 创建简单的测试脚本：
 
@@ -1807,7 +1870,7 @@ unilab --ak your_ak --sk your_sk -g graph.json \
 
 #### 14.5 社区支持
 
-- **GitHub Issues**：[https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
+- **GitHub Issues**：[https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
 - **官方网站**：[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
 
 ---

docs/user_guide/graph_files.md

@@ -463,7 +463,7 @@ Uni-Lab 使用 `ResourceDictInstance.get_resource_instance_from_dict()` 方法
 ### 使用示例
 
 ```python
-from unilabos.ros.nodes.resource_tracker import ResourceDictInstance
+from unilabos.resources.resource_tracker import ResourceDictInstance
 
 # 旧格式节点
 old_format_node = {
@@ -477,10 +477,10 @@ old_format_node = {
 instance = ResourceDictInstance.get_resource_instance_from_dict(old_format_node)
 
 # 访问标准化后的数据
-print(instance.res_content.id)      # "pump_1"
-print(instance.res_content.uuid)    # 自动生成的 UUID
+print(instance.res_content.id)  # "pump_1"
+print(instance.res_content.uuid)  # 自动生成的 UUID
 print(instance.res_content.config)  # {}
-print(instance.res_content.data)    # {}
+print(instance.res_content.data)  # {}
 ```
 
 ### 格式迁移建议
@@ -857,4 +857,4 @@ class ResourceDictPosition(BaseModel):
 - 在 Web 界面中使用模板创建
 - 参考示例文件：`test/experiments/` 目录
 - 查看 ResourceDict 源码了解完整定义
-- [GitHub 讨论区](https://github.com/dptech-corp/Uni-Lab-OS/discussions)
+- [GitHub 讨论区](https://github.com/deepmodeling/Uni-Lab-OS/discussions)

docs/user_guide/installation.md

@@ -13,15 +13,26 @@
   - 开发者需要 Git 和基本的 Python 开发知识
   - 自定义 msgs 需要 GitHub 账号
 
+## 安装包选择
+
+Uni-Lab-OS 提供三个安装包版本，根据您的需求选择：
+
+| 安装包 | 适用场景 | 包含组件 | 磁盘占用 |
+|--------|----------|----------|----------|
+| **unilabos** | **推荐大多数用户**，生产部署 | 完整安装包，开箱即用 | ~2-3 GB |
+| **unilabos-env** | 开发者环境（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos | ~2 GB |
+| **unilabos-full** | 仿真可视化、完整功能体验 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt | ~8-10 GB |
+
 ## 安装方式选择
 
 根据您的使用场景，选择合适的安装方式：
 
-| 安装方式               | 适用人群             | 特点                           | 安装时间                     |
-| ---------------------- | -------------------- | ------------------------------ | ---------------------------- |
-| **方式一：一键安装**   | 实验室用户、快速体验 | 预打包环境，离线可用，无需配置 | 5-10 分钟 (网络良好的情况下) |
-| **方式二：手动安装**   | 标准用户、生产环境   | 灵活配置，版本可控             | 10-20 分钟                   |
-| **方式三：开发者安装** | 开发者、需要修改源码 | 可编辑模式，支持自定义 msgs    | 20-30 分钟                   |
+| 安装方式               | 适用人群             | 推荐安装包        | 特点                           | 安装时间                     |
+| ---------------------- | -------------------- | ----------------- | ------------------------------ | ---------------------------- |
+| **方式一：一键安装**   | 快速体验、演示       | 预打包环境        | 离线可用，无需配置             | 5-10 分钟 (网络良好的情况下) |
+| **方式二：手动安装**   | **大多数用户**       | `unilabos`        | 完整功能，开箱即用             | 10-20 分钟                   |
+| **方式三：开发者安装** | 开发者、需要修改源码 | `unilabos-env`    | 可编辑模式，支持自定义开发     | 20-30 分钟                   |
+| **仿真/可视化**        | 仿真测试、可视化调试 | `unilabos-full`   | 含 Gazebo、rviz2、MoveIt       | 30-60 分钟                   |
 
 ---
 
@@ -37,7 +48,7 @@
 
 #### 第一步：下载预打包环境
 
-1. 访问 [GitHub Actions - Conda Pack Build](https://github.com/dptech-corp/Uni-Lab-OS/actions/workflows/conda-pack-build.yml)
+1. 访问 [GitHub Actions - Conda Pack Build](https://github.com/deepmodeling/Uni-Lab-OS/actions/workflows/conda-pack-build.yml)
 
 2. 选择最新的成功构建记录（绿色勾号 ✓）
 
@@ -144,17 +155,38 @@ bash Miniforge3-$(uname)-$(uname -m).sh
 使用以下命令创建 Uni-Lab 专用环境：
 
 ```bash
-mamba create -n unilab python=3.11.11  # 目前ros2组件依赖版本大多为3.11.11
+mamba create -n unilab python=3.11.14  # 目前ros2组件依赖版本大多为3.11.14
 mamba activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 选择安装包（三选一）：
+
+# 方案 A：标准安装（推荐大多数用户）
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# 然后安装 unilabos 和 pip 依赖：
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# 方案 C：完整版（含仿真和可视化工具）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
 **参数说明**:
 
 - `-n unilab`: 创建名为 "unilab" 的环境
-- `uni-lab::unilabos`: 从 uni-lab channel 安装 unilabos 包
+- `uni-lab::unilabos`: 安装 unilabos 完整包，开箱即用（推荐）
+- `uni-lab::unilabos-env`: 仅安装环境依赖，适合开发者使用 `pip install -e .`
+- `uni-lab::unilabos-full`: 安装完整包（含 ROS2 Desktop、Gazebo、MoveIt 等）
 - `-c robostack-staging -c conda-forge`: 添加额外的软件源
 
+**包选择建议**：
+- **日常使用/生产部署**：安装 `unilabos`（推荐，完整功能，开箱即用）
+- **开发者**：安装 `unilabos-env`，然后使用 `uv pip install -r unilabos/utils/requirements.txt` 安装依赖，再 `pip install -e .` 进行可编辑安装
+- **仿真/可视化**：安装 `unilabos-full`（Gazebo、rviz2、MoveIt）
+
 **如果遇到网络问题**，可以使用清华镜像源加速下载：
 
 ```bash
@@ -163,8 +195,14 @@ mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/m
 mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
 mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
 
-# 然后重新执行安装命令
+# 然后重新执行安装命令（推荐标准安装）
 mamba create -n unilab uni-lab::unilabos -c robostack-staging
+
+# 或完整版（仿真/可视化）
+mamba create -n unilab uni-lab::unilabos-full -c robostack-staging
+
+# pip 安装时使用清华镜像（开发者安装时使用）
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 ```
 
 ### 第三步：激活环境
@@ -189,13 +227,13 @@ conda activate unilab
 ### 第一步：克隆仓库
 
 ```bash
-git clone https://github.com/dptech-corp/Uni-Lab-OS.git
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
 ```
 
 如果您需要贡献代码，建议先 Fork 仓库：
 
-1. 访问 https://github.com/dptech-corp/Uni-Lab-OS
+1. 访问 https://github.com/deepmodeling/Uni-Lab-OS
 2. 点击右上角的 "Fork" 按钮
 3. Clone 您的 Fork 版本：
    ```bash
@@ -203,58 +241,87 @@ cd Uni-Lab-OS
    cd Uni-Lab-OS
    ```
 
-### 第二步：安装基础环境
+### 第二步：安装开发环境（unilabos-env）
 
-**推荐方式**：先通过**方式一（一键安装）**或**方式二（手动安装）**完成基础环境的安装，这将包含所有必需的依赖项（ROS2、msgs 等）。
-
-#### 选项 A：通过一键安装（推荐）
-
-参考上文"方式一：一键安装"，完成基础环境的安装后，激活环境：
+**重要**：开发者请使用 `unilabos-env` 包，它专为开发者设计：
+- 包含 ROS2 核心组件和消息包（ros-humble-ros-core、std-msgs、geometry-msgs 等）
+- 包含 transforms3d、cv-bridge、tf2 等 conda 依赖
+- 包含 `uv` 工具，用于快速安装 pip 依赖
+- **不包含** pip 依赖和 unilabos 包（由 `pip install -e .` 和 `uv pip install` 安装）
 
 ```bash
+# 创建并激活环境
+mamba create -n unilab python=3.11.14
 conda activate unilab
+
+# 安装开发者环境包（ROS2 + conda 依赖 + uv）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
 ```
 
-#### 选项 B：通过手动安装
+### 第三步：安装 pip 依赖和可编辑模式安装
 
-参考上文"方式二：手动安装"，创建并安装环境：
-
-```bash
-mamba create -n unilab python=3.11.11
-conda activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
-```
-
-**说明**：这会安装包括 Python 3.11.11、ROS2 Humble、ros-humble-unilabos-msgs 和所有必需依赖
-
-### 第三步：切换到开发版本
-
-现在你已经有了一个完整可用的 Uni-Lab 环境，接下来将 unilabos 包切换为开发版本：
+克隆代码并安装依赖：
 
 ```bash
 # 确保环境已激活
 conda activate unilab
 
-# 卸载 pip 安装的 unilabos（保留所有 conda 依赖）
-pip uninstall unilabos -y
-
-# 克隆 dev 分支（如果还未克隆）
-cd /path/to/your/workspace
-git clone -b dev https://github.com/dptech-corp/Uni-Lab-OS.git
-# 或者如果已经克隆，切换到 dev 分支
+# 克隆仓库（如果还未克隆）
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
+
+# 切换到 dev 分支（可选）
 git checkout dev
 git pull
-
-# 以可编辑模式安装开发版 unilabos
-pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 ```
 
-**参数说明**：
+**推荐：使用安装脚本**（自动检测中文环境，使用 uv 加速）：
 
-- `-e`: editable mode（可编辑模式），代码修改立即生效，无需重新安装
-- `-i`: 使用清华镜像源加速下载
-- `pip uninstall unilabos`: 只卸载 pip 安装的 unilabos 包，不影响 conda 安装的其他依赖（如 ROS2、msgs 等）
+```bash
+# 自动检测中文环境，如果是中文系统则使用清华镜像
+python scripts/dev_install.py
+
+# 或者手动指定：
+python scripts/dev_install.py --china     # 强制使用清华镜像
+python scripts/dev_install.py --no-mirror # 强制使用 PyPI
+python scripts/dev_install.py --skip-deps # 跳过 pip 依赖安装
+python scripts/dev_install.py --use-pip   # 使用 pip 而非 uv
+```
+
+**手动安装**（如果脚本安装失败或速度太慢）：
+
+```bash
+# 1. 安装 unilabos（可编辑模式）
+pip install -e .
+
+# 2. 使用 uv 安装 pip 依赖（推荐，速度更快）
+uv pip install -r unilabos/utils/requirements.txt
+
+# 国内用户使用清华镜像：
+pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+```
+
+**注意**：
+- `uv` 已包含在 `unilabos-env` 中，无需单独安装
+- `unilabos/utils/requirements.txt` 包含运行 unilabos 所需的所有 pip 依赖
+- 部分特殊包（如 pylabrobot）会在运行时由 unilabos 自动检测并安装
+
+**为什么使用可编辑模式？**
+
+- `-e` (editable mode)：代码修改**立即生效**，无需重新安装
+- 适合开发调试：修改代码后直接运行测试
+- 与 `unilabos-env` 配合：环境依赖由 conda 管理，unilabos 代码由 pip 管理
+
+**验证安装**：
+
+```bash
+# 检查 unilabos 版本
+python -c "import unilabos; print(unilabos.__version__)"
+
+# 检查安装位置（应该指向你的代码目录）
+pip show unilabos | grep Location
+```
 
 ### 第四步：安装或自定义 ros-humble-unilabos-msgs（可选）
 
@@ -317,45 +384,6 @@ unilab --help
 
 如果所有命令都正常输出，说明开发环境配置成功！
 
-### 开发工具推荐
-
-#### IDE
-
-- **PyCharm Professional**: 强大的 Python IDE，支持远程调试
-- **VS Code**: 轻量级，配合 Python 扩展使用
-- **Vim/Emacs**: 适合终端开发
-
-#### 推荐的 VS Code 扩展
-
-- Python
-- Pylance
-- ROS
-- URDF
-- YAML
-
-#### 调试工具
-
-```bash
-# 安装调试工具
-pip install ipdb pytest pytest-cov -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
-
-# 代码质量检查
-pip install black flake8 mypy -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
-```
-
-### 设置 pre-commit 钩子（可选）
-
-```bash
-# 安装 pre-commit
-pip install pre-commit -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
-
-# 设置钩子
-pre-commit install
-
-# 手动运行检查
-pre-commit run --all-files
-```
-
 ---
 
 ## 验证安装
@@ -503,7 +531,45 @@ cd $CONDA_PREFIX/envs/unilab
 
 ### 问题 8: 环境很大，有办法减小吗？
 
-**解决方案**: 预打包的环境包含所有依赖，通常较大（压缩后 2-5GB）。这是为了确保离线安装和完整功能。如果空间有限，考虑使用方式二手动安装，只安装需要的组件。
+**解决方案**: 
+
+1. **使用 `unilabos` 标准版**（推荐大多数用户）：
+   ```bash
+   mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+   ```
+   标准版包含完整功能，环境大小约 2-3GB（相比完整版的 8-10GB）。
+
+2. **使用 `unilabos-env` 开发者版**（最小化）：
+   ```bash
+   mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+   # 然后手动安装依赖
+   pip install -e .
+   uv pip install -r unilabos/utils/requirements.txt
+   ```
+   开发者版只包含环境依赖，体积最小约 2GB。
+
+3. **按需安装额外组件**：
+   如果后续需要特定功能，可以单独安装：
+   ```bash
+   # 需要 Jupyter
+   mamba install jupyter jupyros
+   
+   # 需要可视化
+   mamba install matplotlib opencv
+   
+   # 需要仿真（注意：这会安装大量依赖）
+   mamba install ros-humble-gazebo-ros
+   ```
+
+4. **预打包环境问题**：
+   预打包环境（方式一）包含所有依赖，通常较大（压缩后 2-5GB）。这是为了确保离线安装和完整功能。
+
+**包选择建议**：
+| 需求 | 推荐包 | 预估大小 |
+|------|--------|----------|
+| 日常使用/生产部署 | `unilabos` | ~2-3 GB |
+| 开发调试（可编辑模式） | `unilabos-env` | ~2 GB |
+| 仿真/可视化 | `unilabos-full` | ~8-10 GB |
 
 ### 问题 9: 如何更新到最新版本？
 
@@ -542,14 +608,15 @@ mamba update ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-f
 ## 需要帮助？
 
 - **故障排查**: 查看更详细的故障排查信息
-- **GitHub Issues**: [报告问题](https://github.com/dptech-corp/Uni-Lab-OS/issues)
+- **GitHub Issues**: [报告问题](https://github.com/deepmodeling/Uni-Lab-OS/issues)
 - **开发者文档**: 查看开发者指南获取更多技术细节
-- **社区讨论**: [GitHub Discussions](https://github.com/dptech-corp/Uni-Lab-OS/discussions)
+- **社区讨论**: [GitHub Discussions](https://github.com/deepmodeling/Uni-Lab-OS/discussions)
 
 ---
 
 **提示**:
 
-- 生产环境推荐使用方式二（手动安装）的稳定版本
-- 开发和测试推荐使用方式三（开发者安装）
-- 快速体验和演示推荐使用方式一（一键安装）
+- **大多数用户**推荐使用方式二（手动安装）的 `unilabos` 标准版
+- **开发者**推荐使用方式三（开发者安装），安装 `unilabos-env` 后使用 `uv pip install -r unilabos/utils/requirements.txt` 安装依赖
+- **仿真/可视化**推荐安装 `unilabos-full` 完整版
+- **快速体验和演示**推荐使用方式一（一键安装）

docs/user_guide/launch.md

@@ -22,7 +22,6 @@ options:
   --is_slave            Run the backend as slave node (without host privileges).
   --slave_no_host       Skip waiting for host service in slave mode
   --upload_registry     Upload registry information when starting unilab
-  --use_remote_resource Use remote resources when starting unilab
   --config CONFIG       Configuration file path, supports .py format Python config files
   --port PORT           Port for web service information page
   --disable_browser     Disable opening information page on startup
@@ -85,7 +84,7 @@ Uni-Lab 的启动过程分为以下几个阶段：
 支持两种方式：
 
 - **本地文件**：使用 `-g` 指定图谱文件（支持 JSON 和 GraphML 格式）
-- **远程资源**：使用 `--use_remote_resource` 从云端获取
+- **远程资源**：不指定本地文件即可
 
 ### 7. 注册表构建
 
@@ -196,7 +195,7 @@ unilab --config path/to/your/config.py
 unilab --ak your_ak --sk your_sk -g path/to/graph.json --upload_registry
 
 # 使用远程资源启动
-unilab --ak your_ak --sk your_sk --use_remote_resource
+unilab --ak your_ak --sk your_sk
 
 # 更新注册表
 unilab --ak your_ak --sk your_sk --complete_registry

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.10
+  version: 0.10.19
 source:
   path: ../../unilabos_msgs
   target_directory: src
@@ -17,7 +17,7 @@ build:
     - bash $SRC_DIR/build_ament_cmake.sh
 
 about:
-  repository: https://github.com/dptech-corp/Uni-Lab-OS
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
   license: BSD-3-Clause
   description: "ros-humble-unilabos-msgs is a package that provides message definitions for Uni-Lab-OS."
 
@@ -25,7 +25,7 @@ requirements:
   build:
   - ${{ compiler('cxx') }}
   - ${{ compiler('c') }}
-  - python ==3.11.11
+  - python ==3.11.14
   - numpy
   - if: build_platform != target_platform
     then:
@@ -63,14 +63,14 @@ requirements:
   - robostack-staging::ros-humble-rosidl-default-generators
   - robostack-staging::ros-humble-std-msgs
   - robostack-staging::ros-humble-geometry-msgs
-  - robostack-staging::ros2-distro-mutex=0.6
+  - robostack-staging::ros2-distro-mutex=0.7
   run:
   - robostack-staging::ros-humble-action-msgs
   - robostack-staging::ros-humble-ros-workspace
   - robostack-staging::ros-humble-rosidl-default-runtime
   - robostack-staging::ros-humble-std-msgs
   - robostack-staging::ros-humble-geometry-msgs
-  - robostack-staging::ros2-distro-mutex=0.6
+  - robostack-staging::ros2-distro-mutex=0.7
   - if: osx and x86_64
     then:
     - __osx >=${{ MACOSX_DEPLOYMENT_TARGET|default('10.14') }}

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.10"
+  version: "0.10.19"
 
 source:
   path: ../..

scripts/create_readme.py

@@ -85,7 +85,7 @@ Verification:
 -------------
 
 The verify_installation.py script will check:
-  - Python version (3.11.11)
+  - Python version (3.11.14)
   - ROS2 rclpy installation
   - UniLabOS installation and dependencies
 
@@ -104,7 +104,7 @@ Build Information:
 
   Branch:   {branch}
   Platform: {platform}
-  Python:   3.11.11
+  Python:   3.11.14
   Date:     {build_date}
 
 Troubleshooting:
@@ -126,7 +126,7 @@ If installation fails:
 For more help:
   - Documentation: docs/user_guide/installation.md
   - Quick Start: QUICK_START_CONDA_PACK.md
-  - Issues: https://github.com/dptech-corp/Uni-Lab-OS/issues
+  - Issues: https://github.com/deepmodeling/Uni-Lab-OS/issues
 
 License:
 --------
@@ -134,7 +134,7 @@ License:
 UniLabOS is licensed under GPL-3.0-only.
 See LICENSE file for details.
 
-Repository: https://github.com/dptech-corp/Uni-Lab-OS
+Repository: https://github.com/deepmodeling/Uni-Lab-OS
 """
 
     return readme

scripts/dev_install.py

@@ -0,0 +1,214 @@
+#!/usr/bin/env python3
+"""
+Development installation script for UniLabOS.
+Auto-detects Chinese locale and uses appropriate mirror.
+
+Usage:
+    python scripts/dev_install.py
+    python scripts/dev_install.py --no-mirror  # Force no mirror
+    python scripts/dev_install.py --china      # Force China mirror
+    python scripts/dev_install.py --skip-deps  # Skip pip dependencies installation
+
+Flow:
+    1. pip install -e . (install unilabos in editable mode)
+    2. Detect Chinese locale
+    3. Use uv to install pip dependencies from requirements.txt
+    4. Special packages (like pylabrobot) are handled by environment_check.py at runtime
+"""
+
+import locale
+import subprocess
+import sys
+import argparse
+from pathlib import Path
+
+# Tsinghua mirror URL
+TSINGHUA_MIRROR = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
+
+
+def is_chinese_locale() -> bool:
+    """
+    Detect if system is in Chinese locale.
+    Same logic as EnvironmentChecker._is_chinese_locale()
+    """
+    try:
+        lang = locale.getdefaultlocale()[0]
+        if lang and ("zh" in lang.lower() or "chinese" in lang.lower()):
+            return True
+    except Exception:
+        pass
+    return False
+
+
+def run_command(cmd: list, description: str, retry: int = 2) -> bool:
+    """Run command with retry support."""
+    print(f"[INFO] {description}")
+    print(f"[CMD] {' '.join(cmd)}")
+
+    for attempt in range(retry + 1):
+        try:
+            result = subprocess.run(cmd, check=True, timeout=600)
+            print(f"[OK] {description}")
+            return True
+        except subprocess.CalledProcessError as e:
+            if attempt < retry:
+                print(f"[WARN] Attempt {attempt + 1} failed, retrying...")
+            else:
+                print(f"[ERROR] {description} failed: {e}")
+                return False
+        except subprocess.TimeoutExpired:
+            print(f"[ERROR] {description} timed out")
+            return False
+    return False
+
+
+def install_editable(project_root: Path, use_mirror: bool) -> bool:
+    """Install unilabos in editable mode using pip."""
+    cmd = [sys.executable, "-m", "pip", "install", "-e", str(project_root)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing unilabos in editable mode")
+
+
+def install_requirements_uv(requirements_file: Path, use_mirror: bool) -> bool:
+    """Install pip dependencies using uv (installed via conda-forge::uv)."""
+    cmd = ["uv", "pip", "install", "-r", str(requirements_file)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing pip dependencies with uv", retry=2)
+
+
+def install_requirements_pip(requirements_file: Path, use_mirror: bool) -> bool:
+    """Fallback: Install pip dependencies using pip."""
+    cmd = [sys.executable, "-m", "pip", "install", "-r", str(requirements_file)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing pip dependencies with pip", retry=2)
+
+
+def check_uv_available() -> bool:
+    """Check if uv is available (installed via conda-forge::uv)."""
+    try:
+        subprocess.run(["uv", "--version"], capture_output=True, check=True)
+        return True
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        return False
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Development installation script for UniLabOS")
+    parser.add_argument("--china", action="store_true", help="Force use China mirror (Tsinghua)")
+    parser.add_argument("--no-mirror", action="store_true", help="Force use default PyPI (no mirror)")
+    parser.add_argument(
+        "--skip-deps", action="store_true", help="Skip pip dependencies installation (only install unilabos)"
+    )
+    parser.add_argument("--use-pip", action="store_true", help="Use pip instead of uv for dependencies")
+    args = parser.parse_args()
+
+    # Determine project root
+    script_dir = Path(__file__).parent
+    project_root = script_dir.parent
+    requirements_file = project_root / "unilabos" / "utils" / "requirements.txt"
+
+    if not (project_root / "setup.py").exists():
+        print(f"[ERROR] setup.py not found in {project_root}")
+        sys.exit(1)
+
+    print("=" * 60)
+    print("UniLabOS Development Installation")
+    print("=" * 60)
+    print(f"Project root: {project_root}")
+    print()
+
+    # Determine mirror usage based on locale
+    if args.no_mirror:
+        use_mirror = False
+        print("[INFO] Mirror disabled by --no-mirror flag")
+    elif args.china:
+        use_mirror = True
+        print("[INFO] China mirror enabled by --china flag")
+    else:
+        use_mirror = is_chinese_locale()
+        if use_mirror:
+            print("[INFO] Chinese locale detected, using Tsinghua mirror")
+        else:
+            print("[INFO] Non-Chinese locale detected, using default PyPI")
+
+    print()
+
+    # Step 1: Install unilabos in editable mode
+    print("[STEP 1] Installing unilabos in editable mode...")
+    if not install_editable(project_root, use_mirror):
+        print("[ERROR] Failed to install unilabos")
+        print()
+        print("Manual fallback:")
+        if use_mirror:
+            print(f"  pip install -e {project_root} -i {TSINGHUA_MIRROR}")
+        else:
+            print(f"  pip install -e {project_root}")
+        sys.exit(1)
+
+    print()
+
+    # Step 2: Install pip dependencies
+    if args.skip_deps:
+        print("[INFO] Skipping pip dependencies installation (--skip-deps)")
+    else:
+        print("[STEP 2] Installing pip dependencies...")
+
+        if not requirements_file.exists():
+            print(f"[WARN] Requirements file not found: {requirements_file}")
+            print("[INFO] Skipping dependencies installation")
+        else:
+            # Try uv first (faster), fallback to pip
+            if args.use_pip:
+                print("[INFO] Using pip (--use-pip flag)")
+                success = install_requirements_pip(requirements_file, use_mirror)
+            elif check_uv_available():
+                print("[INFO] Using uv (installed via conda-forge::uv)")
+                success = install_requirements_uv(requirements_file, use_mirror)
+                if not success:
+                    print("[WARN] uv failed, falling back to pip...")
+                    success = install_requirements_pip(requirements_file, use_mirror)
+            else:
+                print("[WARN] uv not available (should be installed via: mamba install conda-forge::uv)")
+                print("[INFO] Falling back to pip...")
+                success = install_requirements_pip(requirements_file, use_mirror)
+
+            if not success:
+                print()
+                print("[WARN] Failed to install some dependencies automatically.")
+                print("You can manually install them:")
+                if use_mirror:
+                    print(f"  uv pip install -r {requirements_file} -i {TSINGHUA_MIRROR}")
+                    print("  or:")
+                    print(f"  pip install -r {requirements_file} -i {TSINGHUA_MIRROR}")
+                else:
+                    print(f"  uv pip install -r {requirements_file}")
+                    print("  or:")
+                    print(f"  pip install -r {requirements_file}")
+
+    print()
+    print("=" * 60)
+    print("Installation complete!")
+    print("=" * 60)
+    print()
+    print("Note: Some special packages (like pylabrobot) are installed")
+    print("automatically at runtime by unilabos if needed.")
+    print()
+    print("Verify installation:")
+    print('  python -c "import unilabos; print(unilabos.__version__)"')
+    print()
+    print("If you encounter issues, you can manually install dependencies:")
+    if use_mirror:
+        print(f"  uv pip install -r unilabos/utils/requirements.txt -i {TSINGHUA_MIRROR}")
+    else:
+        print("  uv pip install -r unilabos/utils/requirements.txt")
+    print()
+
+
+if __name__ == "__main__":
+    main()

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='0.10.10',
+    version='0.10.19',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

tests/__init__.py

@@ -0,0 +1,7 @@
+"""
+测试包根目录。
+
+让 `tests.*` 模块可以被正常 import（例如给 `unilabos` 下的测试入口使用）。
+"""
+
+

tests/compile/test_batch_transfer_protocol.py

@@ -0,0 +1,296 @@
+"""
+批量转运编译器测试
+
+覆盖：单物料退化、刚好一批、多批次、空操作、AGV 配置发现、children dict 状态。
+"""
+
+import pytest
+import networkx as nx
+
+from unilabos.compile.batch_transfer_protocol import generate_batch_transfer_protocol
+from unilabos.compile.agv_transfer_protocol import generate_agv_transfer_protocol
+from unilabos.compile._agv_utils import find_agv_config, get_agv_capacity, split_batches
+
+
+# ============ 构建测试用设备图 ============
+
+def _make_graph(capacity_x=2, capacity_y=1, capacity_z=1):
+    """构建包含 AGV 节点的测试设备图"""
+    G = nx.DiGraph()
+
+    # AGV 节点
+    G.add_node("AGV", **{
+        "type": "device",
+        "class_": "agv_transport_station",
+        "config": {
+            "protocol_type": ["AGVTransferProtocol", "BatchTransferProtocol"],
+            "device_roles": {
+                "navigator": "zhixing_agv",
+                "arm": "zhixing_ur_arm"
+            },
+            "route_table": {
+                "StationA->StationB": {
+                    "nav_command": '{"target": "LM1"}',
+                    "arm_pick": '{"task_name": "pick.urp"}',
+                    "arm_place": '{"task_name": "place.urp"}'
+                },
+                "AGV->StationA": {
+                    "nav_command": '{"target": "LM1"}',
+                    "arm_pick": '{"task_name": "pick.urp"}',
+                    "arm_place": '{"task_name": "place.urp"}'
+                },
+                "StationA->StationA": {
+                    "nav_command": '{"target": "LM1"}',
+                    "arm_pick": '{"task_name": "pick.urp"}',
+                    "arm_place": '{"task_name": "place.urp"}'
+                },
+            }
+        }
+    })
+
+    # AGV 子设备
+    G.add_node("zhixing_agv", type="device", class_="zhixing_agv")
+    G.add_node("zhixing_ur_arm", type="device", class_="zhixing_ur_arm")
+    G.add_edge("AGV", "zhixing_agv")
+    G.add_edge("AGV", "zhixing_ur_arm")
+
+    # AGV Warehouse 子资源
+    G.add_node("agv_platform", **{
+        "type": "warehouse",
+        "config": {
+            "name": "agv_platform",
+            "num_items_x": capacity_x,
+            "num_items_y": capacity_y,
+            "num_items_z": capacity_z,
+        }
+    })
+    G.add_edge("AGV", "agv_platform")
+
+    # 来源/目标工站
+    G.add_node("StationA", type="device", class_="workstation")
+    G.add_node("StationB", type="device", class_="workstation")
+
+    return G
+
+
+def _make_repos(items_count=2):
+    """构建测试用的 from_repo 和 to_repo dict"""
+    children = {}
+    for i in range(items_count):
+        pos = f"A{i + 1:02d}"
+        children[pos] = {
+            "id": f"resource_{i + 1}",
+            "name": f"R{i + 1}",
+            "parent": "StationA",
+            "type": "resource",
+        }
+
+    from_repo = {
+        "StationA": {
+            "id": "StationA",
+            "name": "StationA",
+            "children": children,
+        }
+    }
+    to_repo = {
+        "StationB": {
+            "id": "StationB",
+            "name": "StationB",
+            "children": {},
+        }
+    }
+    return from_repo, to_repo
+
+
+def _make_items(count=2):
+    """构建 transfer_resources / from_positions / to_positions"""
+    resources = [
+        {
+            "id": f"resource_{i + 1}",
+            "name": f"R{i + 1}",
+            "sample_id": f"uuid-{i + 1}",
+            "parent": "StationA",
+            "type": "resource",
+        }
+        for i in range(count)
+    ]
+    from_positions = [f"A{i + 1:02d}" for i in range(count)]
+    to_positions = [f"A{i + 1:02d}" for i in range(count)]
+    return resources, from_positions, to_positions
+
+
+# ============ _agv_utils 测试 ============
+
+class TestAGVUtils:
+    def test_find_agv_config(self):
+        G = _make_graph()
+        cfg = find_agv_config(G)
+        assert cfg["agv_id"] == "AGV"
+        assert cfg["device_roles"]["navigator"] == "zhixing_agv"
+        assert cfg["device_roles"]["arm"] == "zhixing_ur_arm"
+        assert "StationA->StationB" in cfg["route_table"]
+
+    def test_find_agv_config_by_id(self):
+        G = _make_graph()
+        cfg = find_agv_config(G, agv_id="AGV")
+        assert cfg["agv_id"] == "AGV"
+
+    def test_find_agv_config_not_found(self):
+        G = nx.DiGraph()
+        G.add_node("SomeDevice", type="device", class_="pump")
+        with pytest.raises(ValueError, match="未找到 AGV"):
+            find_agv_config(G)
+
+    def test_get_agv_capacity(self):
+        G = _make_graph(capacity_x=2, capacity_y=1, capacity_z=1)
+        assert get_agv_capacity(G, "AGV") == 2
+
+    def test_get_agv_capacity_multi_layer(self):
+        G = _make_graph(capacity_x=1, capacity_y=2, capacity_z=3)
+        assert get_agv_capacity(G, "AGV") == 6
+
+    def test_split_batches_exact(self):
+        assert split_batches([1, 2], 2) == [[1, 2]]
+
+    def test_split_batches_overflow(self):
+        assert split_batches([1, 2, 3], 2) == [[1, 2], [3]]
+
+    def test_split_batches_single(self):
+        assert split_batches([1], 4) == [[1]]
+
+    def test_split_batches_zero_capacity(self):
+        with pytest.raises(ValueError):
+            split_batches([1], 0)
+
+
+# ============ 批量转运编译器测试 ============
+
+class TestBatchTransferProtocol:
+    def test_empty_items(self):
+        """空物料列表返回空 steps"""
+        G = _make_graph()
+        from_repo, to_repo = _make_repos(0)
+        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, [], [], [])
+        assert steps == []
+
+    def test_single_item(self):
+        """单物料转运（BatchTransfer 退化为单物料）"""
+        G = _make_graph(capacity_x=2)
+        from_repo, to_repo = _make_repos(1)
+        resources, from_pos, to_pos = _make_items(1)
+        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
+
+        # 应该有: nav到来源 + 1个pick + nav到目标 + 1个place = 4 steps
+        assert len(steps) == 4
+        assert steps[0]["action_name"] == "send_nav_task"
+        assert steps[1]["action_name"] == "move_pos_task"
+        assert steps[1]["_transfer_meta"]["phase"] == "pick"
+        assert steps[2]["action_name"] == "send_nav_task"
+        assert steps[3]["action_name"] == "move_pos_task"
+        assert steps[3]["_transfer_meta"]["phase"] == "place"
+
+    def test_exact_capacity(self):
+        """物料数 = AGV 容量，刚好一批"""
+        G = _make_graph(capacity_x=2)
+        from_repo, to_repo = _make_repos(2)
+        resources, from_pos, to_pos = _make_items(2)
+        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
+
+        # nav + 2 pick + nav + 2 place = 6 steps
+        assert len(steps) == 6
+        pick_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "pick"]
+        place_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "place"]
+        assert len(pick_steps) == 2
+        assert len(place_steps) == 2
+
+    def test_multi_batch(self):
+        """物料数 > AGV 容量，自动分批"""
+        G = _make_graph(capacity_x=2)
+        from_repo, to_repo = _make_repos(3)
+        resources, from_pos, to_pos = _make_items(3)
+        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
+
+        # 批次1: nav + 2 pick + nav + 2 place + nav(返回) = 7
+        # 批次2: nav + 1 pick + nav + 1 place = 4
+        # 总计 11 steps
+        assert len(steps) == 11
+
+        nav_steps = [s for s in steps if s["action_name"] == "send_nav_task"]
+        # 批次1: 2 nav(去来源+去目标) + 1 nav(返回) + 批次2: 2 nav = 5 nav
+        assert len(nav_steps) == 5
+
+    def test_children_dict_updated(self):
+        """compile 阶段三方 children dict 状态正确"""
+        G = _make_graph(capacity_x=2)
+        from_repo, to_repo = _make_repos(2)
+        resources, from_pos, to_pos = _make_items(2)
+
+        assert "A01" in from_repo["StationA"]["children"]
+        assert "A02" in from_repo["StationA"]["children"]
+        assert len(to_repo["StationB"]["children"]) == 0
+
+        generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
+
+        # compile 后 from_repo 的 children 应该被 pop 掉
+        assert "A01" not in from_repo["StationA"]["children"]
+        assert "A02" not in from_repo["StationA"]["children"]
+        # to_repo 应该有新物料
+        assert "A01" in to_repo["StationB"]["children"]
+        assert "A02" in to_repo["StationB"]["children"]
+        assert to_repo["StationB"]["children"]["A01"]["id"] == "resource_1"
+
+    def test_device_ids_from_config(self):
+        """设备 ID 全部从配置读取，不硬编码"""
+        G = _make_graph()
+        from_repo, to_repo = _make_repos(1)
+        resources, from_pos, to_pos = _make_items(1)
+        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
+
+        device_ids = {s["device_id"] for s in steps}
+        assert "zhixing_agv" in device_ids
+        assert "zhixing_ur_arm" in device_ids
+
+    def test_route_not_found(self):
+        """路由表中无对应路线时报错"""
+        G = _make_graph()
+        from_repo = {"Unknown": {"id": "Unknown", "children": {"A01": {"id": "R1", "parent": "Unknown"}}}}
+        to_repo = {"Other": {"id": "Other", "children": {}}}
+        resources = [{"id": "R1", "name": "R1"}]
+        with pytest.raises(KeyError, match="路由表"):
+            generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01"], ["B01"])
+
+    def test_length_mismatch(self):
+        """三个数组长度不一致时报错"""
+        G = _make_graph()
+        from_repo, to_repo = _make_repos(2)
+        resources = [{"id": "R1"}]
+        with pytest.raises(ValueError, match="长度不一致"):
+            generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01", "A02"], ["B01"])
+
+
+# ============ 改造后的 AGV 单物料编译器测试 ============
+
+class TestAGVTransferProtocol:
+    def test_single_transfer_from_config(self):
+        """改造后的单物料编译器从 G 读取配置"""
+        G = _make_graph()
+        from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
+        to_repo = {"StationB": {"id": "StationB", "children": {}}}
+        steps = generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
+
+        assert len(steps) == 2
+        assert steps[0]["device_id"] == "zhixing_agv"
+        assert steps[0]["action_name"] == "send_nav_task"
+        assert steps[1]["device_id"] == "zhixing_ur_arm"
+        assert steps[1]["action_name"] == "move_pos_task"
+
+    def test_children_updated(self):
+        """单物料编译后 children dict 正确更新"""
+        G = _make_graph()
+        from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
+        to_repo = {"StationB": {"id": "StationB", "children": {}}}
+        generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
+
+        assert "A01" not in from_repo["StationA"]["children"]
+        assert "B01" in to_repo["StationB"]["children"]
+        assert to_repo["StationB"]["children"]["B01"]["parent"] == "StationB"

tests/compile/test_full_chain_conversion_to_compile.py

@@ -0,0 +1,706 @@
+"""
+全链路集成测试：ROS Goal 转换 → ResourceTreeSet → get_plr_nested_dict → 编译器 → 动作列表
+
+模拟 workstation.py 中的完整路径：
+1. host 返回 raw_data（模拟 resource_get 响应）
+2. ResourceTreeSet.from_raw_dict_list(raw_data) 构建资源树
+3. tree.root_node.get_plr_nested_dict() 生成嵌套 dict
+4. protocol_kwargs 传给编译器
+5. 编译器返回 action_list，验证结构和关键字段
+"""
+
+import copy
+import json
+import pytest
+import networkx as nx
+
+from unilabos.resources.resource_tracker import (
+    ResourceDictInstance,
+    ResourceTreeSet,
+)
+from unilabos.compile.utils.resource_helper import (
+    ensure_resource_instance,
+    resource_to_dict,
+    get_resource_id,
+    get_resource_data,
+)
+from unilabos.compile.utils.vessel_parser import get_vessel
+
+# ============ 构建模拟设备图 ============
+
+def _build_test_graph():
+    """构建一个包含常用设备节点的测试图"""
+    G = nx.DiGraph()
+
+    # 容器
+    G.add_node("reactor_01", **{
+        "id": "reactor_01",
+        "name": "reactor_01",
+        "type": "device",
+        "class": "virtual_stirrer",
+        "data": {},
+        "config": {},
+    })
+
+    # 搅拌设备
+    G.add_node("stirrer_1", **{
+        "id": "stirrer_1",
+        "name": "stirrer_1",
+        "type": "device",
+        "class": "virtual_stirrer",
+        "data": {},
+        "config": {},
+    })
+    G.add_edge("stirrer_1", "reactor_01")
+
+    # 加热设备
+    G.add_node("heatchill_1", **{
+        "id": "heatchill_1",
+        "name": "heatchill_1",
+        "type": "device",
+        "class": "virtual_heatchill",
+        "data": {},
+        "config": {},
+    })
+    G.add_edge("heatchill_1", "reactor_01")
+
+    # 试剂容器（液体）
+    G.add_node("flask_water", **{
+        "id": "flask_water",
+        "name": "flask_water",
+        "type": "container",
+        "class": "",
+        "data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 500.0}]},
+        "config": {"reagent": "water"},
+    })
+
+    # 固体加样器
+    G.add_node("solid_dispenser_1", **{
+        "id": "solid_dispenser_1",
+        "name": "solid_dispenser_1",
+        "type": "device",
+        "class": "solid_dispenser",
+        "data": {},
+        "config": {},
+    })
+
+    # 泵
+    G.add_node("pump_1", **{
+        "id": "pump_1",
+        "name": "pump_1",
+        "type": "device",
+        "class": "virtual_pump",
+        "data": {},
+        "config": {},
+    })
+    G.add_edge("flask_water", "pump_1")
+    G.add_edge("pump_1", "reactor_01")
+
+    return G
+
+
+# ============ 构建模拟 host 返回数据 ============
+
+def _make_raw_resource(
+    id="reactor_01",
+    uuid="uuid-reactor-01",
+    name="reactor_01",
+    klass="virtual_stirrer",
+    type_="device",
+    parent=None,
+    parent_uuid=None,
+    data=None,
+    config=None,
+    extra=None,
+):
+    """模拟 host 返回的单个资源 dict（与 resource_get 服务响应一致）"""
+    return {
+        "id": id,
+        "uuid": uuid,
+        "name": name,
+        "class": klass,
+        "type": type_,
+        "parent": parent,
+        "parent_uuid": parent_uuid or "",
+        "description": "",
+        "config": config or {},
+        "data": data or {},
+        "extra": extra or {},
+        "position": {"x": 0.0, "y": 0.0, "z": 0.0},
+    }
+
+
+def _simulate_workstation_resource_enrichment(raw_data_list, field_type="unilabos_msgs/Resource"):
+    """
+    模拟 workstation.py 中 resource enrichment 的核心逻辑：
+    raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → protocol_kwargs[k]
+    """
+    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
+
+    if field_type == "unilabos_msgs/Resource":
+        # 单个 Resource：取第一棵树的根节点
+        root_instance = tree_set.trees[0].root_node if tree_set.trees else None
+        return root_instance.get_plr_nested_dict() if root_instance else {}
+    else:
+        # sequence<Resource>：返回列表
+        return [tree.root_node.get_plr_nested_dict() for tree in tree_set.trees]
+
+
+# ============ 全链路测试：Stir 协议 ============
+
+class TestStirProtocolFullChain:
+    """Stir 协议全链路：host raw_data → enriched dict → compiler → action_list"""
+
+    def test_stir_with_enriched_resource_dict(self):
+        """单个 Resource 经过 enrichment 后传给 stir compiler"""
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+
+        raw_data = [_make_raw_resource(
+            id="reactor_01", uuid="uuid-reactor-01",
+            klass="virtual_stirrer", type_="device",
+        )]
+
+        # 模拟 workstation enrichment
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        assert enriched_vessel["id"] == "reactor_01"
+        assert enriched_vessel["uuid"] == "uuid-reactor-01"
+        assert enriched_vessel["class"] == "virtual_stirrer"
+
+        # 传给编译器
+        G = _build_test_graph()
+        actions = generate_stir_protocol(
+            G=G,
+            vessel=enriched_vessel,
+            time="60",
+            stir_speed=300.0,
+        )
+
+        assert isinstance(actions, list)
+        assert len(actions) >= 1
+        action = actions[0]
+        assert action["device_id"] == "stirrer_1"
+        assert action["action_name"] == "stir"
+        assert "vessel" in action["action_kwargs"]
+        assert action["action_kwargs"]["vessel"]["id"] == "reactor_01"
+
+    def test_stir_with_resource_dict_instance(self):
+        """直接用 ResourceDictInstance 传给 stir compiler（通过 get_plr_nested_dict 转换）"""
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
+        inst = tree_set.trees[0].root_node
+
+        # 通过 resource_to_dict 转换（resource_helper 兼容层）
+        vessel_dict = resource_to_dict(inst)
+        assert isinstance(vessel_dict, dict)
+        assert vessel_dict["id"] == "reactor_01"
+
+        G = _build_test_graph()
+        actions = generate_stir_protocol(G=G, vessel=vessel_dict, time="30")
+
+        assert len(actions) >= 1
+        assert actions[0]["action_name"] == "stir"
+
+    def test_stir_with_string_vessel(self):
+        """兼容旧模式：直接传 vessel 字符串"""
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+
+        G = _build_test_graph()
+        actions = generate_stir_protocol(G=G, vessel="reactor_01", time="30")
+
+        assert len(actions) >= 1
+        assert actions[0]["device_id"] == "stirrer_1"
+        assert actions[0]["action_kwargs"]["vessel"]["id"] == "reactor_01"
+
+
+# ============ 全链路测试：HeatChill 协议 ============
+
+class TestHeatChillProtocolFullChain:
+    """HeatChill 协议全链路"""
+
+    def test_heatchill_with_enriched_resource(self):
+        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01", klass="virtual_stirrer")]
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_heat_chill_protocol(
+            G=G,
+            vessel=enriched_vessel,
+            temp=80.0,
+            time="300",
+        )
+
+        assert isinstance(actions, list)
+        assert len(actions) >= 1
+        action = actions[0]
+        assert action["device_id"] == "heatchill_1"
+        assert action["action_name"] == "heat_chill"
+        assert action["action_kwargs"]["temp"] == 80.0
+
+    def test_heatchill_start_with_enriched_resource(self):
+        from unilabos.compile.heatchill_protocol import generate_heat_chill_start_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_heat_chill_start_protocol(
+            G=G,
+            vessel=enriched_vessel,
+            temp=60.0,
+        )
+
+        assert len(actions) >= 1
+        assert actions[0]["action_name"] == "heat_chill_start"
+        assert actions[0]["action_kwargs"]["temp"] == 60.0
+
+    def test_heatchill_stop_with_enriched_resource(self):
+        from unilabos.compile.heatchill_protocol import generate_heat_chill_stop_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_heat_chill_stop_protocol(G=G, vessel=enriched_vessel)
+
+        assert len(actions) >= 1
+        assert actions[0]["action_name"] == "heat_chill_stop"
+
+
+# ============ 全链路测试：Add 协议 ============
+
+class TestAddProtocolFullChain:
+    """Add 协议全链路：vessel enrichment + reagent 查找 + 泵传输"""
+
+    def test_add_solid_with_enriched_resource(self):
+        from unilabos.compile.add_protocol import generate_add_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_add_protocol(
+            G=G,
+            vessel=enriched_vessel,
+            reagent="NaCl",
+            mass="5 g",
+        )
+
+        assert isinstance(actions, list)
+        assert len(actions) >= 1
+        # 应该包含至少一个 add_solid 或 log_message 动作
+        action_names = [a.get("action_name", "") for a in actions]
+        assert any(name in ["add_solid", "log_message"] for name in action_names)
+
+    def test_add_liquid_with_enriched_resource(self):
+        from unilabos.compile.add_protocol import generate_add_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_add_protocol(
+            G=G,
+            vessel=enriched_vessel,
+            reagent="water",
+            volume="10 mL",
+        )
+
+        assert isinstance(actions, list)
+        assert len(actions) >= 1
+
+
+# ============ 全链路测试：ResourceDictInstance 兼容层 ============
+
+class TestResourceDictInstanceCompatibility:
+    """验证编译器兼容层对 ResourceDictInstance 的处理"""
+
+    def test_get_vessel_from_enriched_dict(self):
+        """get_vessel 对 enriched dict 的处理"""
+        raw_data = [_make_raw_resource(
+            id="reactor_01",
+            data={"temperature": 25.0, "liquid": [{"liquid_type": "water", "volume": 10.0}]},
+        )]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        vessel_id, vessel_data = get_vessel(enriched)
+        assert vessel_id == "reactor_01"
+        assert vessel_data["temperature"] == 25.0
+        assert len(vessel_data["liquid"]) == 1
+
+    def test_get_vessel_from_resource_instance(self):
+        """get_vessel 直接对 ResourceDictInstance 的处理"""
+        raw_data = [_make_raw_resource(
+            id="reactor_01",
+            data={"temperature": 25.0},
+        )]
+        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
+        inst = tree_set.trees[0].root_node
+
+        vessel_id, vessel_data = get_vessel(inst)
+        assert vessel_id == "reactor_01"
+        assert vessel_data["temperature"] == 25.0
+
+    def test_ensure_resource_instance_round_trip(self):
+        """ensure_resource_instance → resource_to_dict 无损往返"""
+        raw_data = [_make_raw_resource(
+            id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer",
+            data={"temp": 25.0},
+        )]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        # dict → ResourceDictInstance
+        inst = ensure_resource_instance(enriched)
+        assert isinstance(inst, ResourceDictInstance)
+        assert inst.res_content.id == "reactor_01"
+        assert inst.res_content.uuid == "uuid-r01"
+
+        # ResourceDictInstance → dict
+        d = resource_to_dict(inst)
+        assert isinstance(d, dict)
+        assert d["id"] == "reactor_01"
+        assert d["uuid"] == "uuid-r01"
+        assert d["class"] == "virtual_stirrer"
+
+
+# ============ 全链路测试：带 children 的资源树 ============
+
+class TestResourceTreeWithChildren:
+    """测试带 children 结构的资源树通过编译器的路径"""
+
+    def _make_tree_with_children(self):
+        """构建 StationA -> [Flask1, Flask2] 的资源树"""
+        return [
+            _make_raw_resource(
+                id="StationA", uuid="uuid-station-a",
+                name="StationA", klass="workstation", type_="device",
+            ),
+            _make_raw_resource(
+                id="Flask1", uuid="uuid-flask-1",
+                name="Flask1", klass="", type_="resource",
+                parent="StationA", parent_uuid="uuid-station-a",
+                data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
+            ),
+            _make_raw_resource(
+                id="Flask2", uuid="uuid-flask-2",
+                name="Flask2", klass="", type_="resource",
+                parent="StationA", parent_uuid="uuid-station-a",
+                data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
+            ),
+        ]
+
+    def test_enrichment_preserves_children_structure(self):
+        """验证 enrichment 后 children 为嵌套 dict"""
+        raw_data = self._make_tree_with_children()
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        assert enriched["id"] == "StationA"
+        assert "children" in enriched
+        assert isinstance(enriched["children"], dict)
+        assert "Flask1" in enriched["children"]
+        assert "Flask2" in enriched["children"]
+
+    def test_children_preserve_uuid_and_data(self):
+        """验证 children 中的 uuid 和 data 被正确保留"""
+        raw_data = self._make_tree_with_children()
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        flask1 = enriched["children"]["Flask1"]
+        assert flask1["uuid"] == "uuid-flask-1"
+        assert flask1["data"]["liquid"][0]["liquid_type"] == "water"
+        assert flask1["data"]["liquid"][0]["volume"] == 10.0
+
+        flask2 = enriched["children"]["Flask2"]
+        assert flask2["uuid"] == "uuid-flask-2"
+        assert flask2["data"]["liquid"][0]["liquid_type"] == "ethanol"
+
+    def test_children_dict_can_be_popped(self):
+        """模拟 batch_transfer_protocol 中 pop children 的操作"""
+        raw_data = self._make_tree_with_children()
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        # batch_transfer_protocol 中会 pop children
+        children = enriched["children"]
+        popped = children.pop("Flask1")
+        assert popped["id"] == "Flask1"
+        assert "Flask1" not in enriched["children"]
+        assert "Flask2" in enriched["children"]
+
+    def test_children_dict_usable_as_from_repo(self):
+        """模拟 batch_transfer_protocol 中 from_repo 参数"""
+        raw_data = self._make_tree_with_children()
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        # 模拟编译器接收的 from_repo 格式
+        from_repo = {"StationA": enriched}
+        from_repo_ = list(from_repo.values())[0]
+
+        assert from_repo_["id"] == "StationA"
+        assert "Flask1" in from_repo_["children"]
+        assert from_repo_["children"]["Flask1"]["uuid"] == "uuid-flask-1"
+
+    def test_sequence_resource_enrichment(self):
+        """sequence<Resource> 情况：多个独立资源树"""
+        raw_data1 = [_make_raw_resource(id="R1", uuid="uuid-r1")]
+        raw_data2 = [_make_raw_resource(id="R2", uuid="uuid-r2")]
+
+        tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
+        tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
+
+        results = [
+            tree.root_node.get_plr_nested_dict()
+            for ts in [tree_set1, tree_set2]
+            for tree in ts.trees
+        ]
+
+        assert len(results) == 2
+        assert results[0]["id"] == "R1"
+        assert results[1]["id"] == "R2"
+
+
+# ============ 全链路测试：动作列表结构验证 ============
+
+class TestActionListStructure:
+    """验证编译器返回的 action_list 结构符合 workstation 预期"""
+
+    def _validate_action(self, action):
+        """验证单个 action dict 的结构"""
+        if action.get("action_name") == "wait":
+            # wait 伪动作不需要 device_id
+            assert "action_kwargs" in action
+            assert "time" in action["action_kwargs"]
+            return
+
+        if action.get("action_name") == "log_message":
+            # log 伪动作
+            assert "action_kwargs" in action
+            return
+
+        # 正常设备动作
+        assert "device_id" in action, f"action 缺少 device_id: {action}"
+        assert "action_name" in action, f"action 缺少 action_name: {action}"
+        assert "action_kwargs" in action, f"action 缺少 action_kwargs: {action}"
+        assert isinstance(action["action_kwargs"], dict)
+
+    def test_stir_action_list_structure(self):
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_stir_protocol(G=G, vessel=enriched, time="60")
+
+        for action in actions:
+            if isinstance(action, list):
+                # 并行动作
+                for sub_action in action:
+                    self._validate_action(sub_action)
+            else:
+                self._validate_action(action)
+
+    def test_heatchill_action_list_structure(self):
+        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_heat_chill_protocol(G=G, vessel=enriched, temp=80.0, time="60")
+
+        for action in actions:
+            if isinstance(action, list):
+                for sub_action in action:
+                    self._validate_action(sub_action)
+            else:
+                self._validate_action(action)
+
+    def test_add_action_list_structure(self):
+        from unilabos.compile.add_protocol import generate_add_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+
+        G = _build_test_graph()
+        actions = generate_add_protocol(G=G, vessel=enriched, reagent="NaCl", mass="5 g")
+
+        for action in actions:
+            if isinstance(action, list):
+                for sub_action in action:
+                    self._validate_action(sub_action)
+            else:
+                self._validate_action(action)
+
+
+# ============ 全链路测试：message_converter 到 enrichment ============
+
+class TestMessageConverterToEnrichment:
+    """模拟从 ROS 消息转换后的 dict 到 enrichment 的完整链路"""
+
+    def test_ros_goal_conversion_simulation(self):
+        """
+        模拟 workstation.py 中的完整流程：
+        1. ROS goal 中的 vessel 字段被 convert_from_ros_msg 转换为浅层 dict
+        2. workstation 用 resource_id 请求 host 获取完整资源数据
+        3. ResourceTreeSet.from_raw_dict_list 构建资源树
+        4. get_plr_nested_dict 生成嵌套 dict 替换 protocol_kwargs[k]
+        """
+        # 步骤1: 模拟 convert_from_ros_msg 的输出（浅层 dict，只有 id 等基本字段）
+        shallow_vessel = {
+            "id": "reactor_01",
+            "uuid": "uuid-reactor-01",
+            "name": "reactor_01",
+            "type": "device",
+            "category": "virtual_stirrer",
+            "children": [],
+            "parent": "",
+            "parent_uuid": "",
+            "config": {},
+            "data": {},
+            "extra": {},
+            "position": {"x": 0.0, "y": 0.0, "z": 0.0},
+        }
+
+        protocol_kwargs = {
+            "vessel": shallow_vessel,
+            "time": "300",
+            "stir_speed": 300.0,
+        }
+
+        # 步骤2: 提取 resource_id
+        resource_id = protocol_kwargs["vessel"]["id"]
+        assert resource_id == "reactor_01"
+
+        # 步骤3: 模拟 host 返回完整数据（带 children）
+        host_response = [
+            _make_raw_resource(
+                id="reactor_01", uuid="uuid-reactor-01",
+                klass="virtual_stirrer", type_="device",
+                data={"temperature": 25.0, "pressure": 1.0},
+                config={"max_temp": 300.0},
+            ),
+        ]
+
+        # 步骤4: enrichment
+        enriched = _simulate_workstation_resource_enrichment(host_response)
+        protocol_kwargs["vessel"] = enriched
+
+        # 验证 enrichment 后的 protocol_kwargs
+        assert protocol_kwargs["vessel"]["id"] == "reactor_01"
+        assert protocol_kwargs["vessel"]["uuid"] == "uuid-reactor-01"
+        assert protocol_kwargs["vessel"]["class"] == "virtual_stirrer"
+        assert protocol_kwargs["vessel"]["data"]["temperature"] == 25.0
+        assert protocol_kwargs["vessel"]["config"]["max_temp"] == 300.0
+
+        # 步骤5: 传给编译器
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+        G = _build_test_graph()
+        actions = generate_stir_protocol(G=G, **protocol_kwargs)
+
+        assert len(actions) >= 1
+        assert actions[0]["device_id"] == "stirrer_1"
+        assert actions[0]["action_name"] == "stir"
+
+    def test_ros_goal_with_children_enrichment(self):
+        """ROS goal → enrichment 带 children 的场景（batch transfer）"""
+        # 模拟 host 返回带 children 的数据
+        host_response = [
+            _make_raw_resource(
+                id="StationA", uuid="uuid-sa", klass="workstation", type_="device",
+                config={"num_items_x": 4, "num_items_y": 2},
+            ),
+            _make_raw_resource(
+                id="Plate1", uuid="uuid-p1", type_="resource",
+                parent="StationA", parent_uuid="uuid-sa",
+                data={"sample": "sample_A"},
+            ),
+            _make_raw_resource(
+                id="Plate2", uuid="uuid-p2", type_="resource",
+                parent="StationA", parent_uuid="uuid-sa",
+                data={"sample": "sample_B"},
+            ),
+        ]
+
+        enriched = _simulate_workstation_resource_enrichment(host_response)
+
+        assert enriched["id"] == "StationA"
+        assert enriched["class"] == "workstation"
+        assert len(enriched["children"]) == 2
+        assert enriched["children"]["Plate1"]["data"]["sample"] == "sample_A"
+        assert enriched["children"]["Plate2"]["uuid"] == "uuid-p2"
+
+        # 模拟 batch_transfer 的 from_repo 格式
+        from_repo = {"StationA": enriched}
+        from_repo_ = list(from_repo.values())[0]
+        assert "Plate1" in from_repo_["children"]
+        assert from_repo_["children"]["Plate1"]["uuid"] == "uuid-p1"
+
+
+# ============ 全链路测试：多协议连续调用 ============
+
+class TestMultiProtocolChain:
+    """模拟连续执行多个协议（如 add → stir → heatchill）"""
+
+    def test_sequential_protocol_execution(self):
+        """模拟典型合成路径：add → stir → heatchill"""
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
+        from unilabos.compile.add_protocol import generate_add_protocol
+
+        raw_data = [_make_raw_resource(
+            id="reactor_01", uuid="uuid-reactor-01",
+            klass="virtual_stirrer", type_="device",
+        )]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+        G = _build_test_graph()
+
+        # 每次调用用 enriched 的副本，避免编译器修改原数据
+        all_actions = []
+
+        # 步骤1: 添加试剂
+        add_actions = generate_add_protocol(
+            G=G, vessel=copy.deepcopy(enriched),
+            reagent="NaCl", mass="5 g",
+        )
+        all_actions.extend(add_actions)
+
+        # 步骤2: 搅拌
+        stir_actions = generate_stir_protocol(
+            G=G, vessel=copy.deepcopy(enriched),
+            time="60", stir_speed=300.0,
+        )
+        all_actions.extend(stir_actions)
+
+        # 步骤3: 加热
+        heat_actions = generate_heat_chill_protocol(
+            G=G, vessel=copy.deepcopy(enriched),
+            temp=80.0, time="300",
+        )
+        all_actions.extend(heat_actions)
+
+        # 验证总动作列表
+        assert len(all_actions) >= 3
+        # 每个协议至少产生一个核心动作
+        action_names = [a.get("action_name", "") for a in all_actions if isinstance(a, dict)]
+        assert "stir" in action_names
+        assert "heat_chill" in action_names
+
+    def test_enriched_resource_not_mutated(self):
+        """验证编译器不应修改传入的 enriched dict（如果需要修改应 deepcopy）"""
+        from unilabos.compile.stir_protocol import generate_stir_protocol
+
+        raw_data = [_make_raw_resource(id="reactor_01")]
+        enriched = _simulate_workstation_resource_enrichment(raw_data)
+        original_id = enriched["id"]
+        original_uuid = enriched["uuid"]
+
+        G = _build_test_graph()
+        generate_stir_protocol(G=G, vessel=enriched, time="60")
+
+        # 验证 enriched dict 核心字段未被修改
+        assert enriched["id"] == original_id
+        assert enriched["uuid"] == original_uuid

tests/compile/test_pump_separate_full_chain.py

@@ -0,0 +1,538 @@
+"""
+PumpTransfer 和 Separate 全链路测试
+
+构建包含泵/阀门/分液漏斗的完整设备图，
+输出完整的中间数据（最短路径、泵骨架、动作列表等）。
+"""
+
+import copy
+import json
+import pprint
+import pytest
+import networkx as nx
+
+from unilabos.resources.resource_tracker import ResourceTreeSet
+from unilabos.compile.utils.resource_helper import get_resource_id, get_resource_data
+from unilabos.compile.utils.vessel_parser import get_vessel
+
+
+def _make_raw_resource(id, uuid=None, name=None, klass="", type_="device",
+                       parent=None, parent_uuid=None, data=None, config=None, extra=None):
+    return {
+        "id": id,
+        "uuid": uuid or f"uuid-{id}",
+        "name": name or id,
+        "class": klass,
+        "type": type_,
+        "parent": parent,
+        "parent_uuid": parent_uuid or "",
+        "description": "",
+        "config": config or {},
+        "data": data or {},
+        "extra": extra or {},
+        "position": {"x": 0.0, "y": 0.0, "z": 0.0},
+    }
+
+
+def _simulate_enrichment(raw_data_list):
+    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
+    root = tree_set.trees[0].root_node if tree_set.trees else None
+    return root.get_plr_nested_dict() if root else {}
+
+
+def _build_pump_transfer_graph():
+    """
+    构建带泵/阀门的设备图，用于测试 PumpTransfer:
+
+    flask_water (container)
+        ↓
+    valve_1 (multiway_valve, pump_1 连接)
+        ↓
+    reactor_01 (device)
+
+    同时有: stirrer_1, heatchill_1, separator_1
+    """
+    G = nx.DiGraph()
+
+    # 源容器
+    G.add_node("flask_water", **{
+        "id": "flask_water", "name": "flask_water",
+        "type": "container", "class": "",
+        "data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
+        "config": {"reagent": "water"},
+    })
+
+    # 多通阀
+    G.add_node("valve_1", **{
+        "id": "valve_1", "name": "valve_1",
+        "type": "device", "class": "multiway_valve",
+        "data": {}, "config": {},
+    })
+
+    # 注射泵（连接到阀门）
+    G.add_node("pump_1", **{
+        "id": "pump_1", "name": "pump_1",
+        "type": "device", "class": "virtual_pump",
+        "data": {}, "config": {"max_volume": 25.0},
+    })
+
+    # 目标容器
+    G.add_node("reactor_01", **{
+        "id": "reactor_01", "name": "reactor_01",
+        "type": "device", "class": "virtual_stirrer",
+        "data": {"liquid": [{"liquid_type": "water", "volume": 50.0}]},
+        "config": {},
+    })
+
+    # 搅拌器
+    G.add_node("stirrer_1", **{
+        "id": "stirrer_1", "name": "stirrer_1",
+        "type": "device", "class": "virtual_stirrer",
+        "data": {}, "config": {},
+    })
+
+    # 加热器
+    G.add_node("heatchill_1", **{
+        "id": "heatchill_1", "name": "heatchill_1",
+        "type": "device", "class": "virtual_heatchill",
+        "data": {}, "config": {},
+    })
+
+    # 分离器
+    G.add_node("separator_1", **{
+        "id": "separator_1", "name": "separator_1",
+        "type": "device", "class": "separator_controller",
+        "data": {}, "config": {},
+    })
+
+    # 废液容器
+    G.add_node("waste_workup", **{
+        "id": "waste_workup", "name": "waste_workup",
+        "type": "container", "class": "",
+        "data": {}, "config": {},
+    })
+
+    # 产物收集瓶
+    G.add_node("product_flask", **{
+        "id": "product_flask", "name": "product_flask",
+        "type": "container", "class": "",
+        "data": {}, "config": {},
+    })
+
+    # DCM溶剂瓶
+    G.add_node("flask_dcm", **{
+        "id": "flask_dcm", "name": "flask_dcm",
+        "type": "container", "class": "",
+        "data": {"reagent_name": "dcm", "liquid": [{"liquid_type": "dcm", "volume": 500.0}]},
+        "config": {"reagent": "dcm"},
+    })
+
+    # 边连接 —— flask_water → valve_1 → reactor_01
+    G.add_edge("flask_water", "valve_1", port={"valve_1": "port_1"})
+    G.add_edge("valve_1", "reactor_01", port={"valve_1": "port_2"})
+    # 阀门 → 泵
+    G.add_edge("valve_1", "pump_1")
+    G.add_edge("pump_1", "valve_1")
+    # 搅拌器 ↔ reactor
+    G.add_edge("stirrer_1", "reactor_01")
+    # 加热器 ↔ reactor
+    G.add_edge("heatchill_1", "reactor_01")
+    # 分离器 ↔ reactor
+    G.add_edge("separator_1", "reactor_01")
+    G.add_edge("reactor_01", "separator_1")
+    # DCM → valve → reactor (同一泵路)
+    G.add_edge("flask_dcm", "valve_1", port={"valve_1": "port_3"})
+    # reactor → valve → product/waste
+    G.add_edge("valve_1", "product_flask", port={"valve_1": "port_4"})
+    G.add_edge("valve_1", "waste_workup", port={"valve_1": "port_5"})
+
+    return G
+
+
+def _format_action(action, indent=0):
+    """格式化单个 action 为可读字符串"""
+    prefix = "  " * indent
+    if isinstance(action, list):
+        # 并行动作
+        lines = [f"{prefix}[PARALLEL]"]
+        for sub in action:
+            lines.append(_format_action(sub, indent + 1))
+        return "\n".join(lines)
+
+    name = action.get("action_name", "?")
+    device = action.get("device_id", "")
+    kwargs = action.get("action_kwargs", {})
+    comment = action.get("_comment", "")
+    meta = action.get("_transfer_meta", "")
+
+    parts = [f"{prefix}→ {device}::{name}"]
+    if kwargs:
+        # 精简输出
+        kw_str = ", ".join(f"{k}={v}" for k, v in kwargs.items()
+                           if k not in ("progress_message",))
+        if kw_str:
+            parts.append(f"  kwargs: {{{kw_str}}}")
+    if comment:
+        parts.append(f"  # {comment}")
+    if meta:
+        parts.append(f"  meta: {meta}")
+    return "\n".join(f"{prefix}{p}" if i > 0 else p for i, p in enumerate(parts))
+
+
+def _dump_actions(actions, title=""):
+    """打印完整动作列表"""
+    print(f"\n{'='*70}")
+    print(f"  {title}")
+    print(f"  总动作数: {len(actions)}")
+    print(f"{'='*70}")
+    for i, action in enumerate(actions):
+        print(f"\n  [{i:02d}] {_format_action(action, indent=2)}")
+    print(f"\n{'='*70}\n")
+
+
+# ==================== PumpTransfer 全链路 ====================
+
+class TestPumpTransferFullChain:
+    """PumpTransfer: 包含图路径查找、泵骨架构建、动作序列生成"""
+
+    def test_pump_transfer_basic(self):
+        """基础泵转移：flask_water → valve_1 → reactor_01"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol
+
+        G = _build_pump_transfer_graph()
+
+        # 检查最短路径
+        path = nx.shortest_path(G, "flask_water", "reactor_01")
+        print(f"\n最短路径: {path}")
+        assert "valve_1" in path
+
+        # 调用编译器
+        actions = generate_pump_protocol(
+            G=G,
+            from_vessel_id="flask_water",
+            to_vessel_id="reactor_01",
+            volume=10.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions, "PumpTransfer: flask_water → reactor_01, 10mL")
+
+        # 验证
+        assert isinstance(actions, list)
+        assert len(actions) > 0
+        # 应该有 set_valve_position 和 set_position 动作
+        flat = [a for a in actions if isinstance(a, dict)]
+        action_names = [a.get("action_name") for a in flat]
+        print(f"动作名称列表: {action_names}")
+        assert "set_valve_position" in action_names
+        assert "set_position" in action_names
+
+    def test_pump_transfer_with_rinsing_enriched_vessel(self):
+        """pump_with_rinsing 接收 enriched vessel dict"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
+
+        G = _build_pump_transfer_graph()
+
+        # 模拟 enrichment
+        from_raw = [_make_raw_resource(
+            id="flask_water", klass="", type_="container",
+            data={"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
+        )]
+        to_raw = [_make_raw_resource(
+            id="reactor_01", klass="virtual_stirrer", type_="device",
+        )]
+
+        from_enriched = _simulate_enrichment(from_raw)
+        to_enriched = _simulate_enrichment(to_raw)
+
+        print(f"\nfrom_vessel enriched: {json.dumps(from_enriched, indent=2, ensure_ascii=False)[:300]}...")
+        print(f"to_vessel enriched: {json.dumps(to_enriched, indent=2, ensure_ascii=False)[:300]}...")
+
+        # get_vessel 兼容
+        fid, fdata = get_vessel(from_enriched)
+        tid, tdata = get_vessel(to_enriched)
+        print(f"from_vessel_id={fid}, to_vessel_id={tid}")
+        assert fid == "flask_water"
+        assert tid == "reactor_01"
+
+        actions = generate_pump_protocol_with_rinsing(
+            G=G,
+            from_vessel=from_enriched,
+            to_vessel=to_enriched,
+            volume=15.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions, "PumpTransferWithRinsing: flask_water → reactor_01, 15mL (enriched)")
+
+        assert isinstance(actions, list)
+        assert len(actions) > 0
+
+    def test_pump_transfer_multi_batch(self):
+        """体积 > max_volume 时自动分批"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol
+
+        G = _build_pump_transfer_graph()
+
+        # pump_1 的 max_volume = 25mL，转 60mL 应该分 3 批
+        actions = generate_pump_protocol(
+            G=G,
+            from_vessel_id="flask_water",
+            to_vessel_id="reactor_01",
+            volume=60.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions, "PumpTransfer 分批: 60mL (max_volume=25mL, 预期 3 批)")
+
+        assert len(actions) > 0
+        # 应该有多轮 set_position
+        flat = [a for a in actions if isinstance(a, dict)]
+        set_position_count = sum(1 for a in flat if a.get("action_name") == "set_position")
+        print(f"set_position 动作数: {set_position_count}")
+        # 3批 × 2次 (吸液 + 排液) = 6 次 set_position
+        assert set_position_count >= 6
+
+    def test_pump_transfer_no_path(self):
+        """无路径时返回空"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol
+
+        G = _build_pump_transfer_graph()
+        G.add_node("isolated_flask", type="container")
+
+        actions = generate_pump_protocol(
+            G=G,
+            from_vessel_id="isolated_flask",
+            to_vessel_id="reactor_01",
+            volume=10.0,
+        )
+
+        print(f"\n无路径时的动作列表: {actions}")
+        assert actions == []
+
+    def test_pump_backbone_filtering(self):
+        """验证泵骨架过滤逻辑（电磁阀被跳过）"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol
+
+        G = _build_pump_transfer_graph()
+        # 添加电磁阀到路径中
+        G.add_node("solenoid_valve_1", **{
+            "type": "device", "class": "solenoid_valve",
+            "data": {}, "config": {},
+        })
+        # flask_water → solenoid_valve_1 → valve_1 → reactor_01
+        G.remove_edge("flask_water", "valve_1")
+        G.add_edge("flask_water", "solenoid_valve_1")
+        G.add_edge("solenoid_valve_1", "valve_1")
+
+        path = nx.shortest_path(G, "flask_water", "reactor_01")
+        print(f"\n含电磁阀的路径: {path}")
+        assert "solenoid_valve_1" in path
+
+        actions = generate_pump_protocol(
+            G=G,
+            from_vessel_id="flask_water",
+            to_vessel_id="reactor_01",
+            volume=10.0,
+        )
+
+        _dump_actions(actions, "PumpTransfer 含电磁阀: flask_water → solenoid → valve_1 → reactor_01")
+        # 电磁阀应被跳过，泵骨架只有 valve_1
+        assert len(actions) > 0
+
+
+# ==================== Separate 全链路 ====================
+
+class TestSeparateProtocolFullChain:
+    """Separate: 包含 bug 确认和正常路径测试"""
+
+    def test_separate_bug_line_128_fixed(self):
+        """验证 separate_protocol.py:128 的 bug 已修复（不再 crash）"""
+        from unilabos.compile.separate_protocol import generate_separate_protocol
+
+        G = _build_pump_transfer_graph()
+
+        raw_data = [_make_raw_resource(
+            id="reactor_01", klass="virtual_stirrer",
+            data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
+        )]
+        enriched = _simulate_enrichment(raw_data)
+
+        # 修复前：final_vessel_id, _ = vessel_id 会 crash（字符串解包）
+        # 修复后：final_vessel_id = vessel_id，正常返回 action 列表
+        result = generate_separate_protocol(
+            G=G,
+            vessel=enriched,
+            purpose="extract",
+            product_phase="top",
+            product_vessel="product_flask",
+            waste_vessel="waste_workup",
+            solvent="dcm",
+            volume="100 mL",
+        )
+        assert isinstance(result, list)
+        assert len(result) > 0
+
+    def test_separate_manual_workaround(self):
+        """
+        绕过 line 128 bug，手动测试分离编译器中可以工作的子函数
+        """
+        from unilabos.compile.separate_protocol import (
+            find_separator_device,
+            find_separation_vessel_bottom,
+        )
+        from unilabos.compile.utils.vessel_parser import (
+            find_connected_stirrer,
+            find_solvent_vessel,
+        )
+        from unilabos.compile.utils.unit_parser import parse_volume_input
+        from unilabos.compile.utils.resource_helper import get_resource_liquid_volume as get_vessel_liquid_volume
+
+        G = _build_pump_transfer_graph()
+
+        # 1. get_vessel 解析 enriched dict
+        raw_data = [_make_raw_resource(
+            id="reactor_01", klass="virtual_stirrer",
+            data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
+        )]
+        enriched = _simulate_enrichment(raw_data)
+        vessel_id, vessel_data = get_vessel(enriched)
+        print(f"\nvessel_id: {vessel_id}")
+        print(f"vessel_data: {vessel_data}")
+        assert vessel_id == "reactor_01"
+        assert vessel_data["liquid"][0]["volume"] == 100.0
+
+        # 2. find_separator_device
+        sep = find_separator_device(G, vessel_id)
+        print(f"分离器设备: {sep}")
+        assert sep == "separator_1"
+
+        # 3. find_connected_stirrer
+        stirrer = find_connected_stirrer(G, vessel_id)
+        print(f"搅拌器设备: {stirrer}")
+        assert stirrer == "stirrer_1"
+
+        # 4. find_solvent_vessel
+        solvent_v = find_solvent_vessel(G, "dcm")
+        print(f"DCM溶剂容器: {solvent_v}")
+        assert solvent_v == "flask_dcm"
+
+        # 5. parse_volume_input
+        vol = parse_volume_input("200 mL")
+        print(f"体积解析: '200 mL' → {vol}")
+        assert vol == 200.0
+
+        vol2 = parse_volume_input("1.5 L")
+        print(f"体积解析: '1.5 L' → {vol2}")
+        assert vol2 == 1500.0
+
+        # 6. get_vessel_liquid_volume
+        liq_vol = get_vessel_liquid_volume(enriched)
+        print(f"液体体积 (enriched dict): {liq_vol}")
+        assert liq_vol == 100.0
+
+        # 7. find_separation_vessel_bottom
+        bottom = find_separation_vessel_bottom(G, vessel_id)
+        print(f"分离容器底部: {bottom}")
+        # 当前图中没有命名匹配的底部容器
+
+    def test_pump_transfer_for_separate_subflow(self):
+        """测试 separate 中调用的 pump 子流程（溶剂添加 → 分液漏斗）"""
+        from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
+
+        G = _build_pump_transfer_graph()
+
+        # 模拟分离前的溶剂添加步骤
+        actions = generate_pump_protocol_with_rinsing(
+            G=G,
+            from_vessel="flask_dcm",
+            to_vessel="reactor_01",
+            volume=100.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions, "Separate 子流程: flask_dcm → reactor_01, 100mL DCM")
+
+        assert isinstance(actions, list)
+        assert len(actions) > 0
+
+        # 模拟分离后产物转移
+        actions2 = generate_pump_protocol_with_rinsing(
+            G=G,
+            from_vessel="reactor_01",
+            to_vessel="product_flask",
+            volume=50.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions2, "Separate 子流程: reactor_01 → product_flask, 50mL 产物")
+
+        assert len(actions2) > 0
+
+        # 废液转移
+        actions3 = generate_pump_protocol_with_rinsing(
+            G=G,
+            from_vessel="reactor_01",
+            to_vessel="waste_workup",
+            volume=50.0,
+            flowrate=2.5,
+            transfer_flowrate=0.5,
+        )
+
+        _dump_actions(actions3, "Separate 子流程: reactor_01 → waste_workup, 50mL 废液")
+
+        assert len(actions3) > 0
+
+
+# ==================== 图路径可视化 ====================
+
+class TestGraphPathVisualization:
+    """输出图中关键路径信息"""
+
+    def test_all_shortest_paths(self):
+        """输出所有容器之间的最短路径"""
+        G = _build_pump_transfer_graph()
+
+        containers = [n for n in G.nodes() if G.nodes[n].get("type") == "container"]
+        devices = [n for n in G.nodes() if G.nodes[n].get("type") == "device"]
+
+        print(f"\n{'='*70}")
+        print(f"  设备图概览")
+        print(f"{'='*70}")
+        print(f"  容器节点 ({len(containers)}): {containers}")
+        print(f"  设备节点 ({len(devices)}): {devices}")
+        print(f"  边数: {G.number_of_edges()}")
+        print(f"  边列表:")
+        for u, v, data in G.edges(data=True):
+            port_info = data.get("port", "")
+            print(f"    {u} → {v}  {port_info if port_info else ''}")
+
+        print(f"\n  关键路径:")
+        pairs = [
+            ("flask_water", "reactor_01"),
+            ("flask_dcm", "reactor_01"),
+            ("reactor_01", "product_flask"),
+            ("reactor_01", "waste_workup"),
+            ("flask_water", "product_flask"),
+        ]
+        for src, dst in pairs:
+            try:
+                path = nx.shortest_path(G, src, dst)
+                length = len(path) - 1
+                # 标注路径上的节点类型
+                annotated = []
+                for n in path:
+                    ntype = G.nodes[n].get("type", "?")
+                    nclass = G.nodes[n].get("class", "")
+                    annotated.append(f"{n}({ntype}{'/' + nclass if nclass else ''})")
+                print(f"    {src} → {dst}: 距离={length}")
+                print(f"      路径: {' → '.join(annotated)}")
+            except nx.NetworkXNoPath:
+                print(f"    {src} → {dst}: 无路径!")
+
+        print(f"{'='*70}\n")

tests/compile/test_resource_conversion_path.py

@@ -0,0 +1,324 @@
+"""
+ROS Goal → Resource 转换 → 编译器路径的集成测试
+
+覆盖：
+1. Resource.msg 新字段(uuid, klass, extra)的往返转换
+2. dict → ROS Resource → dict 往返无损
+3. ResourceTreeSet → get_plr_nested_dict 保留 children 结构
+4. resource_helper 兼容 dict / ResourceDictInstance
+5. vessel_parser.get_vessel 兼容 ResourceDictInstance
+"""
+
+import json
+import pytest
+
+# 不依赖 ROS 的测试 —— 直接测试 resource 处理路径
+from unilabos.resources.resource_tracker import (
+    ResourceDict,
+    ResourceDictInstance,
+    ResourceTreeInstance,
+    ResourceTreeSet,
+)
+from unilabos.compile.utils.resource_helper import (
+    ensure_resource_instance,
+    resource_to_dict,
+    get_resource_id,
+    get_resource_data,
+    get_resource_display_info,
+    get_resource_liquid_volume,
+)
+from unilabos.compile.utils.vessel_parser import get_vessel
+
+
+# ============ 构建测试数据 ============
+
+
+def _make_resource_dict(
+    id="reactor_01",
+    uuid="uuid-reactor-01",
+    name="reactor_01",
+    klass="virtual_stirrer",
+    type_="device",
+    parent=None,
+    parent_uuid=None,
+    data=None,
+    config=None,
+    extra=None,
+):
+    return {
+        "id": id,
+        "uuid": uuid,
+        "name": name,
+        "class": klass,
+        "type": type_,
+        "parent": parent,
+        "parent_uuid": parent_uuid or "",
+        "description": "",
+        "config": config or {},
+        "data": data or {},
+        "extra": extra or {},
+        "position": {"x": 1.0, "y": 2.0, "z": 3.0},
+    }
+
+
+def _make_resource_instance(id="reactor_01", **kwargs):
+    d = _make_resource_dict(id=id, **kwargs)
+    return ResourceDictInstance.get_resource_instance_from_dict(d)
+
+
+def _make_tree_with_children():
+    """构建 StationA -> [R1, R2] 的资源树"""
+    raw_data = [
+        _make_resource_dict(
+            id="StationA",
+            uuid="uuid-station-a",
+            name="StationA",
+            klass="workstation",
+            type_="device",
+        ),
+        _make_resource_dict(
+            id="R1",
+            uuid="uuid-r1",
+            name="R1",
+            klass="",
+            type_="resource",
+            parent="StationA",
+            parent_uuid="uuid-station-a",
+            data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
+        ),
+        _make_resource_dict(
+            id="R2",
+            uuid="uuid-r2",
+            name="R2",
+            klass="",
+            type_="resource",
+            parent="StationA",
+            parent_uuid="uuid-station-a",
+            data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
+        ),
+    ]
+    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
+    return tree_set
+
+
+# ============ resource_helper 测试 ============
+
+
+class TestResourceHelper:
+    """测试 resource_helper 对 dict / ResourceDictInstance 的兼容性"""
+
+    def test_ensure_resource_instance_from_dict(self):
+        d = _make_resource_dict()
+        inst = ensure_resource_instance(d)
+        assert isinstance(inst, ResourceDictInstance)
+        assert inst.res_content.id == "reactor_01"
+        assert inst.res_content.uuid == "uuid-reactor-01"
+
+    def test_ensure_resource_instance_passthrough(self):
+        inst = _make_resource_instance()
+        result = ensure_resource_instance(inst)
+        assert result is inst  # 同一个对象，不复制
+
+    def test_ensure_resource_instance_none(self):
+        assert ensure_resource_instance(None) is None
+
+    def test_get_resource_id_from_dict(self):
+        d = _make_resource_dict(id="my_device")
+        assert get_resource_id(d) == "my_device"
+
+    def test_get_resource_id_from_instance(self):
+        inst = _make_resource_instance(id="my_device")
+        assert get_resource_id(inst) == "my_device"
+
+    def test_get_resource_id_from_string(self):
+        assert get_resource_id("my_device") == "my_device"
+
+    def test_get_resource_id_from_wrapped_dict(self):
+        """兼容 {station_id: {...}} 格式"""
+        d = {"StationA": {"id": "StationA", "name": "StationA"}}
+        assert get_resource_id(d) == "StationA"
+
+    def test_get_resource_data_from_dict(self):
+        d = _make_resource_dict(data={"temperature": 25.0})
+        assert get_resource_data(d) == {"temperature": 25.0}
+
+    def test_get_resource_data_from_instance(self):
+        inst = _make_resource_instance(data={"temperature": 25.0})
+        data = get_resource_data(inst)
+        assert data["temperature"] == 25.0
+
+    def test_get_resource_display_info_from_dict(self):
+        d = _make_resource_dict(id="reactor_01", name="Reactor #1")
+        info = get_resource_display_info(d)
+        assert "reactor_01" in info
+        assert "Reactor #1" in info
+
+    def test_get_resource_display_info_from_instance(self):
+        inst = _make_resource_instance(id="reactor_01", name="Reactor #1")
+        info = get_resource_display_info(inst)
+        assert "reactor_01" in info
+
+    def test_get_resource_display_info_from_string(self):
+        assert get_resource_display_info("reactor_01") == "reactor_01"
+
+    def test_get_resource_liquid_volume(self):
+        d = _make_resource_dict(data={"liquid": [{"liquid_type": "water", "volume": 15.5}]})
+        assert get_resource_liquid_volume(d) == pytest.approx(15.5)
+
+    def test_resource_to_dict_from_instance(self):
+        inst = _make_resource_instance(id="reactor_01", klass="virtual_stirrer")
+        d = resource_to_dict(inst)
+        assert isinstance(d, dict)
+        assert d["id"] == "reactor_01"
+        assert d["class"] == "virtual_stirrer"
+
+    def test_resource_to_dict_passthrough(self):
+        d = _make_resource_dict()
+        result = resource_to_dict(d)
+        assert result is d  # 同一个 dict
+
+
+# ============ vessel_parser 兼容性测试 ============
+
+
+class TestVesselParser:
+    """测试 vessel_parser.get_vessel 对 ResourceDictInstance 的兼容"""
+
+    def test_get_vessel_from_dict(self):
+        d = _make_resource_dict(id="reactor_01", data={"temperature": 25.0})
+        vessel_id, vessel_data = get_vessel(d)
+        assert vessel_id == "reactor_01"
+        assert vessel_data["temperature"] == 25.0
+
+    def test_get_vessel_from_string(self):
+        vessel_id, vessel_data = get_vessel("reactor_01")
+        assert vessel_id == "reactor_01"
+        assert vessel_data == {}
+
+    def test_get_vessel_from_resource_instance(self):
+        inst = _make_resource_instance(id="reactor_01", data={"temperature": 25.0})
+        vessel_id, vessel_data = get_vessel(inst)
+        assert vessel_id == "reactor_01"
+        assert vessel_data["temperature"] == 25.0
+
+    def test_get_vessel_from_wrapped_dict(self):
+        """兼容 {station_id: {id: ..., data: {...}}} 格式"""
+        d = {"StationA": {"id": "StationA", "data": {"vol": 100}}}
+        vessel_id, vessel_data = get_vessel(d)
+        assert vessel_id == "StationA"
+
+
+# ============ ResourceTreeSet → get_plr_nested_dict 测试 ============
+
+
+class TestResourceTreeRoundTrip:
+    """测试 ResourceTreeSet → get_plr_nested_dict 保留树结构和关键字段"""
+
+    def test_tree_preserves_children(self):
+        tree_set = _make_tree_with_children()
+        assert len(tree_set.trees) == 1
+        root = tree_set.trees[0].root_node
+        assert root.res_content.id == "StationA"
+        assert len(root.children) == 2
+
+    def test_plr_nested_dict_has_children(self):
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        assert isinstance(nested, dict)
+        assert "children" in nested
+        assert isinstance(nested["children"], dict)
+        assert "R1" in nested["children"]
+        assert "R2" in nested["children"]
+
+    def test_plr_nested_dict_preserves_uuid(self):
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        assert nested["uuid"] == "uuid-station-a"
+        assert nested["children"]["R1"]["uuid"] == "uuid-r1"
+
+    def test_plr_nested_dict_preserves_klass(self):
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        assert nested["class"] == "workstation"
+
+    def test_plr_nested_dict_preserves_data(self):
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        r1_data = nested["children"]["R1"]["data"]
+        assert "liquid" in r1_data
+        assert r1_data["liquid"][0]["volume"] == 10.0
+
+    def test_plr_nested_dict_usable_by_get_vessel(self):
+        """get_plr_nested_dict 的结果可以直接传给 get_vessel"""
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        vessel_id, vessel_data = get_vessel(nested)
+        assert vessel_id == "StationA"
+
+    def test_dump_vs_plr_nested_dict(self):
+        """dump() 是扁平化的，get_plr_nested_dict 保留树结构"""
+        tree_set = _make_tree_with_children()
+        # dump 返回扁平列表
+        dumped = tree_set.dump()
+        assert isinstance(dumped[0], list)
+        assert len(dumped[0]) == 3  # StationA + R1 + R2，全部扁平
+
+        # get_plr_nested_dict 保留嵌套
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+        assert isinstance(nested["children"], dict)
+        assert len(nested["children"]) == 2  # 嵌套的 children
+
+
+# ============ 模拟 workstation 路径测试 ============
+
+
+class TestWorkstationPath:
+    """模拟 workstation.py 中的关键路径:
+    raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → compiler
+    """
+
+    def test_single_resource_path(self):
+        """单个 Resource: 取第一棵树的根节点"""
+        raw_data = [
+            _make_resource_dict(id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer"),
+        ]
+        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
+        root = tree_set.trees[0].root_node
+        result = root.get_plr_nested_dict()
+        assert result["id"] == "reactor_01"
+        assert result["uuid"] == "uuid-r01"
+        assert result["class"] == "virtual_stirrer"
+
+    def test_resource_with_children_path(self):
+        """Resource 带 children: AGV/batch transfer 场景"""
+        tree_set = _make_tree_with_children()
+        root = tree_set.trees[0].root_node
+        nested = root.get_plr_nested_dict()
+
+        # 模拟编译器接收到的参数
+        from_repo = {"StationA": nested}
+        assert "A01" not in from_repo["StationA"]["children"]  # children 按 id 索引
+        assert "R1" in from_repo["StationA"]["children"]
+        assert from_repo["StationA"]["children"]["R1"]["uuid"] == "uuid-r1"
+
+    def test_multiple_resource_path(self):
+        """多个 Resource: 每棵树取根节点"""
+        raw_data1 = [_make_resource_dict(id="R1", uuid="uuid-r1")]
+        raw_data2 = [_make_resource_dict(id="R2", uuid="uuid-r2")]
+        # 模拟 host 返回多棵树
+        tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
+        tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
+        results = [
+            tree.root_node.get_plr_nested_dict()
+            for ts in [tree_set1, tree_set2]
+            for tree in ts.trees
+        ]
+        assert len(results) == 2
+        assert results[0]["id"] == "R1"
+        assert results[1]["id"] == "R2"

tests/devices/__init__.py

@@ -0,0 +1 @@
+

tests/devices/liquid_handling/__init__.py

@@ -0,0 +1,5 @@
+"""
+液体处理设备相关测试。
+"""
+
+

tests/devices/liquid_handling/test_transfer_liquid.py

@@ -0,0 +1,505 @@
+import asyncio
+from dataclasses import dataclass
+from typing import Any, Iterable, List, Optional, Sequence, Tuple
+
+import pytest
+
+from unilabos.devices.liquid_handling.liquid_handler_abstract import LiquidHandlerAbstract
+
+
+@dataclass(frozen=True)
+class DummyContainer:
+    name: str
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"DummyContainer({self.name})"
+
+
+@dataclass(frozen=True)
+class DummyTipSpot:
+    name: str
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"DummyTipSpot({self.name})"
+
+
+def make_tip_iter(n: int = 256) -> Iterable[List[DummyTipSpot]]:
+    """Yield lists so code can safely call `tip.extend(next(self.current_tip))`."""
+    for i in range(n):
+        yield [DummyTipSpot(f"tip_{i}")]
+
+
+class FakeLiquidHandler(LiquidHandlerAbstract):
+    """不初始化真实 backend/deck；仅用来记录 transfer_liquid 内部调用序列。"""
+
+    def __init__(self, channel_num: int = 8):
+        # 不调用 super().__init__，避免真实硬件/后端依赖
+        self.channel_num = channel_num
+        self.support_touch_tip = True
+        self.current_tip = iter(make_tip_iter())
+        self.calls: List[Tuple[str, Any]] = []
+
+    async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **backend_kwargs):
+        self.calls.append(("pick_up_tips", {"tips": list(tip_spots), "use_channels": use_channels}))
+
+    async def aspirate(
+        self,
+        resources: Sequence[Any],
+        vols: List[float],
+        use_channels: Optional[List[int]] = None,
+        flow_rates: Optional[List[Optional[float]]] = None,
+        offsets: Any = None,
+        liquid_height: Any = None,
+        blow_out_air_volume: Any = None,
+        spread: str = "wide",
+        **backend_kwargs,
+    ):
+        self.calls.append(
+            (
+                "aspirate",
+                {
+                    "resources": list(resources),
+                    "vols": list(vols),
+                    "use_channels": list(use_channels) if use_channels is not None else None,
+                    "flow_rates": list(flow_rates) if flow_rates is not None else None,
+                    "offsets": list(offsets) if offsets is not None else None,
+                    "liquid_height": list(liquid_height) if liquid_height is not None else None,
+                    "blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
+                },
+            )
+        )
+
+    async def dispense(
+        self,
+        resources: Sequence[Any],
+        vols: List[float],
+        use_channels: Optional[List[int]] = None,
+        flow_rates: Optional[List[Optional[float]]] = None,
+        offsets: Any = None,
+        liquid_height: Any = None,
+        blow_out_air_volume: Any = None,
+        spread: str = "wide",
+        **backend_kwargs,
+    ):
+        self.calls.append(
+            (
+                "dispense",
+                {
+                    "resources": list(resources),
+                    "vols": list(vols),
+                    "use_channels": list(use_channels) if use_channels is not None else None,
+                    "flow_rates": list(flow_rates) if flow_rates is not None else None,
+                    "offsets": list(offsets) if offsets is not None else None,
+                    "liquid_height": list(liquid_height) if liquid_height is not None else None,
+                    "blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
+                },
+            )
+        )
+
+    async def discard_tips(self, use_channels=None, *args, **kwargs):
+        # 有的分支是 discard_tips(use_channels=[0])，有的分支是 discard_tips([0..7])（位置参数）
+        self.calls.append(("discard_tips", {"use_channels": list(use_channels) if use_channels is not None else None}))
+
+    async def custom_delay(self, seconds=0, msg=None):
+        self.calls.append(("custom_delay", {"seconds": seconds, "msg": msg}))
+
+    async def touch_tip(self, targets):
+        # 原实现会访问 targets.get_size_x() 等；测试里只记录调用
+        self.calls.append(("touch_tip", {"targets": targets}))
+
+    async def mix(self, targets, mix_time=None, mix_vol=None, height_to_bottom=None, offsets=None, mix_rate=None, none_keys=None):
+        self.calls.append(
+            (
+                "mix",
+                {
+                    "targets": targets,
+                    "mix_time": mix_time,
+                    "mix_vol": mix_vol,
+                },
+            )
+        )
+
+
+def run(coro):
+    return asyncio.run(coro)
+
+
+def test_one_to_one_single_channel_basic_calls():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(64))
+
+    sources = [DummyContainer(f"S{i}") for i in range(3)]
+    targets = [DummyContainer(f"T{i}") for i in range(3)]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=targets,
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=[1, 2, 3],
+            dis_vols=[4, 5, 6],
+            mix_times=None,  # 应该仍能执行（不 mix）
+        )
+    )
+
+    assert [c[0] for c in lh.calls].count("pick_up_tips") == 3
+    assert [c[0] for c in lh.calls].count("aspirate") == 3
+    assert [c[0] for c in lh.calls].count("dispense") == 3
+    assert [c[0] for c in lh.calls].count("discard_tips") == 3
+
+    # 每次 aspirate/dispense 都是单孔列表
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    assert aspirates[0]["resources"] == [sources[0]]
+    assert aspirates[0]["vols"] == [1.0]
+
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert dispenses[2]["resources"] == [targets[2]]
+    assert dispenses[2]["vols"] == [6.0]
+
+
+def test_one_to_one_single_channel_before_stage_mixes_prior_to_aspirate():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(16))
+
+    source = DummyContainer("S0")
+    target = DummyContainer("T0")
+
+    run(
+        lh.transfer_liquid(
+            sources=[source],
+            targets=[target],
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=[5],
+            dis_vols=[5],
+            mix_stage="before",
+            mix_times=1,
+            mix_vol=3,
+        )
+    )
+
+    names = [name for name, _ in lh.calls]
+    assert names.count("mix") == 1
+    assert names.index("mix") < names.index("aspirate")
+
+
+def test_one_to_one_eight_channel_groups_by_8():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(256))
+
+    sources = [DummyContainer(f"S{i}") for i in range(16)]
+    targets = [DummyContainer(f"T{i}") for i in range(16)]
+    asp_vols = list(range(1, 17))
+    dis_vols = list(range(101, 117))
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=targets,
+            tip_racks=[],
+            use_channels=list(range(8)),
+            asp_vols=asp_vols,
+            dis_vols=dis_vols,
+            mix_times=0,  # 触发逻辑但不 mix
+        )
+    )
+
+    # 16 个任务 -> 2 组，每组 8 通道一起做
+    assert [c[0] for c in lh.calls].count("pick_up_tips") == 2
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert len(aspirates) == 2
+    assert len(dispenses) == 2
+
+    assert aspirates[0]["resources"] == sources[0:8]
+    assert aspirates[0]["vols"] == [float(v) for v in asp_vols[0:8]]
+    assert dispenses[1]["resources"] == targets[8:16]
+    assert dispenses[1]["vols"] == [float(v) for v in dis_vols[8:16]]
+
+
+def test_one_to_one_eight_channel_requires_multiple_of_8_targets():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(64))
+
+    sources = [DummyContainer(f"S{i}") for i in range(9)]
+    targets = [DummyContainer(f"T{i}") for i in range(9)]
+
+    with pytest.raises(ValueError, match="multiple of 8"):
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=list(range(8)),
+                asp_vols=[1] * 9,
+                dis_vols=[1] * 9,
+                mix_times=0,
+            )
+        )
+
+
+def test_one_to_one_eight_channel_parameter_lists_are_chunked_per_8():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(512))
+
+    sources = [DummyContainer(f"S{i}") for i in range(16)]
+    targets = [DummyContainer(f"T{i}") for i in range(16)]
+    asp_vols = [i + 1 for i in range(16)]
+    dis_vols = [200 + i for i in range(16)]
+    asp_flow_rates = [0.1 * (i + 1) for i in range(16)]
+    dis_flow_rates = [0.2 * (i + 1) for i in range(16)]
+    offsets = [f"offset_{i}" for i in range(16)]
+    liquid_heights = [i * 0.5 for i in range(16)]
+    blow_out_air_volume = [i + 0.05 for i in range(16)]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=targets,
+            tip_racks=[],
+            use_channels=list(range(8)),
+            asp_vols=asp_vols,
+            dis_vols=dis_vols,
+            asp_flow_rates=asp_flow_rates,
+            dis_flow_rates=dis_flow_rates,
+            offsets=offsets,
+            liquid_height=liquid_heights,
+            blow_out_air_volume=blow_out_air_volume,
+            mix_times=0,
+        )
+    )
+
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert len(aspirates) == len(dispenses) == 2
+
+    for batch_idx in range(2):
+        start = batch_idx * 8
+        end = start + 8
+        asp_call = aspirates[batch_idx]
+        dis_call = dispenses[batch_idx]
+        assert asp_call["resources"] == sources[start:end]
+        assert asp_call["flow_rates"] == asp_flow_rates[start:end]
+        assert asp_call["offsets"] == offsets[start:end]
+        assert asp_call["liquid_height"] == liquid_heights[start:end]
+        assert asp_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
+        assert dis_call["flow_rates"] == dis_flow_rates[start:end]
+        assert dis_call["offsets"] == offsets[start:end]
+        assert dis_call["liquid_height"] == liquid_heights[start:end]
+        assert dis_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
+
+
+def test_one_to_one_eight_channel_handles_32_tasks_four_batches():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(1024))
+
+    sources = [DummyContainer(f"S{i}") for i in range(32)]
+    targets = [DummyContainer(f"T{i}") for i in range(32)]
+    asp_vols = [i + 1 for i in range(32)]
+    dis_vols = [300 + i for i in range(32)]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=targets,
+            tip_racks=[],
+            use_channels=list(range(8)),
+            asp_vols=asp_vols,
+            dis_vols=dis_vols,
+            mix_times=0,
+        )
+    )
+
+    pick_calls = [name for name, _ in lh.calls if name == "pick_up_tips"]
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert len(pick_calls) == 4
+    assert len(aspirates) == len(dispenses) == 4
+    assert aspirates[0]["resources"] == sources[0:8]
+    assert aspirates[-1]["resources"] == sources[24:32]
+    assert dispenses[0]["resources"] == targets[0:8]
+    assert dispenses[-1]["resources"] == targets[24:32]
+
+
+def test_one_to_many_single_channel_aspirates_total_when_asp_vol_too_small():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(64))
+
+    source = DummyContainer("SRC")
+    targets = [DummyContainer(f"T{i}") for i in range(3)]
+    dis_vols = [10, 20, 30]  # sum=60
+
+    run(
+        lh.transfer_liquid(
+            sources=[source],
+            targets=targets,
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=10,  # 小于 sum(dis_vols) -> 应吸 60
+            dis_vols=dis_vols,
+            mix_times=0,
+        )
+    )
+
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    assert len(aspirates) == 1
+    assert aspirates[0]["resources"] == [source]
+    assert aspirates[0]["vols"] == [60.0]
+    assert aspirates[0]["use_channels"] == [0]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert [d["vols"][0] for d in dispenses] == [10.0, 20.0, 30.0]
+
+
+def test_one_to_many_eight_channel_basic():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(128))
+
+    source = DummyContainer("SRC")
+    targets = [DummyContainer(f"T{i}") for i in range(8)]
+    dis_vols = [i + 1 for i in range(8)]
+
+    run(
+        lh.transfer_liquid(
+            sources=[source],
+            targets=targets,
+            tip_racks=[],
+            use_channels=list(range(8)),
+            asp_vols=999,  # one-to-many 8ch 会按 dis_vols 吸（每通道各自）
+            dis_vols=dis_vols,
+            mix_times=0,
+        )
+    )
+
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    assert aspirates[0]["resources"] == [source] * 8
+    assert aspirates[0]["vols"] == [float(v) for v in dis_vols]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert dispenses[0]["resources"] == targets
+    assert dispenses[0]["vols"] == [float(v) for v in dis_vols]
+
+
+def test_many_to_one_single_channel_standard_dispense_equals_asp_by_default():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(128))
+
+    sources = [DummyContainer(f"S{i}") for i in range(3)]
+    target = DummyContainer("T")
+    asp_vols = [5, 6, 7]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=[target],
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=asp_vols,
+            dis_vols=1,  # many-to-one 允许标量；非比例模式下实际每次分液=对应 asp_vol
+            mix_times=0,
+        )
+    )
+
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert [d["vols"][0] for d in dispenses] == [float(v) for v in asp_vols]
+    assert all(d["resources"] == [target] for d in dispenses)
+
+
+def test_many_to_one_single_channel_before_stage_mixes_target_once():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(128))
+
+    sources = [DummyContainer("S0"), DummyContainer("S1")]
+    target = DummyContainer("T")
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=[target],
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=[5, 6],
+            dis_vols=1,
+            mix_stage="before",
+            mix_times=2,
+            mix_vol=4,
+        )
+    )
+
+    names = [name for name, _ in lh.calls]
+    assert names[0] == "mix"
+    assert names.count("mix") == 1
+
+
+def test_many_to_one_single_channel_proportional_mixing_uses_dis_vols_per_source():
+    lh = FakeLiquidHandler(channel_num=1)
+    lh.current_tip = iter(make_tip_iter(128))
+
+    sources = [DummyContainer(f"S{i}") for i in range(3)]
+    target = DummyContainer("T")
+    asp_vols = [5, 6, 7]
+    dis_vols = [1, 2, 3]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=[target],
+            tip_racks=[],
+            use_channels=[0],
+            asp_vols=asp_vols,
+            dis_vols=dis_vols,  # 比例模式
+            mix_times=0,
+        )
+    )
+
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert [d["vols"][0] for d in dispenses] == [float(v) for v in dis_vols]
+
+
+def test_many_to_one_eight_channel_basic():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(256))
+
+    sources = [DummyContainer(f"S{i}") for i in range(8)]
+    target = DummyContainer("T")
+    asp_vols = [10 + i for i in range(8)]
+
+    run(
+        lh.transfer_liquid(
+            sources=sources,
+            targets=[target],
+            tip_racks=[],
+            use_channels=list(range(8)),
+            asp_vols=asp_vols,
+            dis_vols=999,  # 非比例模式下每通道分液=对应 asp_vol
+            mix_times=0,
+        )
+    )
+
+    aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+    dispenses = [payload for name, payload in lh.calls if name == "dispense"]
+    assert aspirates[0]["resources"] == sources
+    assert aspirates[0]["vols"] == [float(v) for v in asp_vols]
+    assert dispenses[0]["resources"] == [target] * 8
+    assert dispenses[0]["vols"] == [float(v) for v in asp_vols]
+
+
+def test_transfer_liquid_mode_detection_unsupported_shape_raises():
+    lh = FakeLiquidHandler(channel_num=8)
+    lh.current_tip = iter(make_tip_iter(64))
+
+    sources = [DummyContainer("S0"), DummyContainer("S1")]
+    targets = [DummyContainer("T0"), DummyContainer("T1"), DummyContainer("T2")]
+
+    with pytest.raises(ValueError, match="Unsupported transfer mode"):
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1],
+                dis_vols=[1, 1, 1],
+                mix_times=0,
+            )
+        )
+

tests/devices/test_agv_transport_station.py

@@ -0,0 +1,137 @@
+"""
+AGVTransportStation driver 测试
+
+覆盖：初始化、carrier property、slot 查询、路由查询、capacity 计算。
+"""
+
+import pytest
+from unittest.mock import MagicMock, patch
+
+from unilabos.devices.transport.agv_workstation import AGVTransportStation
+from unilabos.resources.warehouse import WareHouse, warehouse_factory
+
+
+class TestAGVTransportStation:
+    def _make_driver(self, route_table=None, device_roles=None):
+        """创建一个 AGVTransportStation 实例"""
+        return AGVTransportStation(
+            deck=None,
+            route_table=route_table or {
+                "A->B": {"nav_command": '{"target":"LM1"}', "arm_pick": "pick.urp", "arm_place": "place.urp"}
+            },
+            device_roles=device_roles or {"navigator": "agv_nav", "arm": "agv_arm"},
+        )
+
+    def _make_warehouse(self, name="agv_platform", nx=2, ny=1, nz=1):
+        """创建一个测试用 Warehouse"""
+        return warehouse_factory(name=name, num_items_x=nx, num_items_y=ny, num_items_z=nz)
+
+    def test_init_deck_none(self):
+        """AGVTransportStation 初始化时 deck=None"""
+        driver = self._make_driver()
+        assert driver.deck is None
+
+    def test_init_route_table(self):
+        """路由表正确存储"""
+        driver = self._make_driver()
+        assert "A->B" in driver.route_table
+
+    def test_init_device_roles(self):
+        """设备角色正确存储"""
+        driver = self._make_driver()
+        assert driver.device_roles["navigator"] == "agv_nav"
+        assert driver.device_roles["arm"] == "agv_arm"
+
+    def test_carrier_without_ros_node(self):
+        """未 post_init 时 carrier 返回 None"""
+        driver = self._make_driver()
+        assert driver.carrier is None
+
+    def test_carrier_with_warehouse(self):
+        """post_init 后 carrier 返回正确的 WareHouse"""
+        driver = self._make_driver()
+        wh = self._make_warehouse()
+
+        # 模拟 ros_node 和 resource_tracker
+        mock_ros_node = MagicMock()
+        mock_ros_node.resource_tracker.resources = [wh]
+        mock_ros_node.device_id = "AGV"
+        driver.post_init(mock_ros_node)
+
+        assert driver.carrier is wh
+        assert isinstance(driver.carrier, WareHouse)
+
+    def test_capacity(self):
+        """容量计算正确"""
+        driver = self._make_driver()
+        wh = self._make_warehouse(nx=2, ny=1, nz=1)
+        mock_ros_node = MagicMock()
+        mock_ros_node.resource_tracker.resources = [wh]
+        mock_ros_node.device_id = "AGV"
+        driver.post_init(mock_ros_node)
+
+        assert driver.capacity == 2
+
+    def test_capacity_multi_layer(self):
+        """多层 Warehouse 容量"""
+        driver = self._make_driver()
+        wh = self._make_warehouse(nx=1, ny=2, nz=3)
+        mock_ros_node = MagicMock()
+        mock_ros_node.resource_tracker.resources = [wh]
+        mock_ros_node.device_id = "AGV"
+        driver.post_init(mock_ros_node)
+
+        assert driver.capacity == 6
+
+    def test_capacity_no_carrier(self):
+        """无 carrier 时容量为 0"""
+        driver = self._make_driver()
+        assert driver.capacity == 0
+
+    def test_free_slots(self):
+        """空载时所有 slot 为空闲"""
+        driver = self._make_driver()
+        wh = self._make_warehouse(nx=2, ny=1, nz=1)
+        mock_ros_node = MagicMock()
+        mock_ros_node.resource_tracker.resources = [wh]
+        mock_ros_node.device_id = "AGV"
+        driver.post_init(mock_ros_node)
+
+        free = driver.free_slots
+        assert len(free) == 2
+
+    def test_occupied_slots_empty(self):
+        """空载时 occupied_slots 为空"""
+        driver = self._make_driver()
+        wh = self._make_warehouse(nx=2, ny=1, nz=1)
+        mock_ros_node = MagicMock()
+        mock_ros_node.resource_tracker.resources = [wh]
+        mock_ros_node.device_id = "AGV"
+        driver.post_init(mock_ros_node)
+
+        assert len(driver.occupied_slots) == 0
+
+    def test_resolve_route(self):
+        """路由查询返回正确的指令"""
+        driver = self._make_driver()
+        route = driver.resolve_route("A", "B")
+        assert route["nav_command"] == '{"target":"LM1"}'
+        assert route["arm_pick"] == "pick.urp"
+
+    def test_resolve_route_not_found(self):
+        """查询不存在的路线时抛出 KeyError"""
+        driver = self._make_driver()
+        with pytest.raises(KeyError, match="路由表"):
+            driver.resolve_route("X", "Y")
+
+    def test_get_device_id(self):
+        """获取子设备 ID"""
+        driver = self._make_driver()
+        assert driver.get_device_id("navigator") == "agv_nav"
+        assert driver.get_device_id("arm") == "agv_arm"
+
+    def test_get_device_id_not_found(self):
+        """获取不存在的角色时抛出 KeyError"""
+        driver = self._make_driver()
+        with pytest.raises(KeyError, match="未配置设备角色"):
+            driver.get_device_id("gripper")

tests/resources/test_resourcetreeset.py

@@ -2,9 +2,8 @@ import pytest
 import json
 import os
 
-from pylabrobot.resources import Resource as ResourcePLR
 from unilabos.resources.graphio import resource_bioyond_to_plr
-from unilabos.ros.nodes.resource_tracker import ResourceTreeSet
+from unilabos.resources.resource_tracker import ResourceTreeSet
 from unilabos.registry.registry import lab_registry
 
 from unilabos.resources.bioyond.decks import BIOYOND_PolymerReactionStation_Deck

tests/ros/msgs/test_runner.py

@@ -11,10 +11,10 @@ import os
 # 添加项目根目录到路径
 sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))))
 
-# 导入测试模块
-from test.ros.msgs.test_basic import TestBasicFunctionality
-from test.ros.msgs.test_conversion import TestBasicConversion, TestMappingConversion
-from test.ros.msgs.test_mapping import TestTypeMapping, TestFieldMapping
+# 导入测试模块（统一从 tests 包获取）
+from tests.ros.msgs.test_basic import TestBasicFunctionality
+from tests.ros.msgs.test_conversion import TestBasicConversion, TestMappingConversion
+from tests.ros.msgs.test_mapping import TestTypeMapping, TestFieldMapping
 
 
 def run_tests():

tests/workflow/merge_workflow.py

@@ -0,0 +1,35 @@
+import sys
+from datetime import datetime
+from pathlib import Path
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+import pytest
+
+from unilabos.workflow.convert_from_json import (
+    convert_from_json,
+    normalize_steps as _normalize_steps,
+    normalize_labware as _normalize_labware,
+)
+from unilabos.workflow.common import draw_protocol_graph_with_ports
+
+
+@pytest.mark.parametrize(
+    "protocol_name",
+    [
+        "example_bio",
+        # "bioyond_materials_liquidhandling_1",
+        "example_prcxi",
+    ],
+)
+def test_build_protocol_graph(protocol_name):
+    data_path = Path(__file__).with_name(f"{protocol_name}.json")
+
+    graph = convert_from_json(data_path, workstation_name="PRCXi")
+
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M")
+    output_path = data_path.with_name(f"{protocol_name}_graph_{timestamp}.png")
+    draw_protocol_graph_with_ports(graph, str(output_path))
+    print(graph)

tests/workflow/test.json

@@ -0,0 +1,213 @@
+{
+  "workflow": [
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_1",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_4",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_5",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_6",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    }
+  ],
+  "reagent": {
+    "Liquid_1": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_4": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "dest_set": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_5": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "dest_set_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "Liquid_6": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "dest_set_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "cell_lines": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_2": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_3": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    }
+  }
+}

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.10"
+__version__ = "0.10.19"

unilabos/__main__.py

@@ -0,0 +1,6 @@
+"""Entry point for `python -m unilabos`."""
+
+from unilabos.app.main import main
+
+if __name__ == "__main__":
+    main()

unilabos/app/backend.py

@@ -1,6 +1,6 @@
 import threading
 
-from unilabos.ros.nodes.resource_tracker import ResourceTreeSet
+from unilabos.resources.resource_tracker import ResourceTreeSet
 from unilabos.utils import logger
 
 

unilabos/app/communication.py

@@ -141,7 +141,7 @@ class CommunicationClientFactory:
         """
         if cls._client_cache is None:
             cls._client_cache = cls.create_client(protocol)
-            logger.info(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
+            logger.trace(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
 
         return cls._client_cache
 

unilabos/app/main.py

@@ -1,13 +1,14 @@
 import argparse
 import asyncio
 import os
+import platform
 import shutil
 import signal
+import subprocess
 import sys
 import threading
 import time
 from typing import Dict, Any, List
-
 import networkx as nx
 import yaml
 
@@ -17,9 +18,93 @@ unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
 if unilabos_dir not in sys.path:
     sys.path.append(unilabos_dir)
 
+from unilabos.app.utils import cleanup_for_restart
 from unilabos.utils.banner_print import print_status, print_unilab_banner
 from unilabos.config.config import load_config, BasicConfig, HTTPConfig
 
+# Global restart flags (used by ws_client and web/server)
+_restart_requested: bool = False
+_restart_reason: str = ""
+
+RESTART_EXIT_CODE = 42
+
+
+def _build_child_argv():
+    """Build sys.argv for child process, stripping supervisor-only arguments."""
+    result = []
+    skip_next = False
+    for arg in sys.argv:
+        if skip_next:
+            skip_next = False
+            continue
+        if arg in ("--restart_mode", "--restart-mode"):
+            continue
+        if arg in ("--auto_restart_count", "--auto-restart-count"):
+            skip_next = True
+            continue
+        if arg.startswith("--auto_restart_count=") or arg.startswith("--auto-restart-count="):
+            continue
+        result.append(arg)
+    return result
+
+
+def _run_as_supervisor(max_restarts: int):
+    """
+    Supervisor process that spawns and monitors child processes.
+
+    Similar to Uvicorn's --reload: the supervisor itself does no heavy work,
+    it only launches the real process as a child and restarts it when the child
+    exits with RESTART_EXIT_CODE.
+    """
+    child_argv = [sys.executable] + _build_child_argv()
+    restart_count = 0
+
+    print_status(
+        f"[Supervisor] Restart mode enabled (max restarts: {max_restarts}), "
+        f"child command: {' '.join(child_argv)}",
+        "info",
+    )
+
+    while True:
+        print_status(
+            f"[Supervisor] Launching process (restart {restart_count}/{max_restarts})...",
+            "info",
+        )
+
+        try:
+            process = subprocess.Popen(child_argv)
+            exit_code = process.wait()
+        except KeyboardInterrupt:
+            print_status("[Supervisor] Interrupted, terminating child process...", "info")
+            process.terminate()
+            try:
+                process.wait(timeout=10)
+            except subprocess.TimeoutExpired:
+                process.kill()
+                process.wait()
+            sys.exit(1)
+
+        if exit_code == RESTART_EXIT_CODE:
+            restart_count += 1
+            if restart_count > max_restarts:
+                print_status(
+                    f"[Supervisor] Maximum restart count ({max_restarts}) reached, exiting",
+                    "warning",
+                )
+                sys.exit(1)
+            print_status(
+                f"[Supervisor] Child requested restart ({restart_count}/{max_restarts}), restarting in 2s...",
+                "info",
+            )
+            time.sleep(2)
+        else:
+            if exit_code != 0:
+                print_status(f"[Supervisor] Child exited with code {exit_code}", "warning")
+            else:
+                print_status("[Supervisor] Child exited normally", "info")
+            sys.exit(exit_code)
+
+
 def load_config_from_file(config_path):
     if config_path is None:
         config_path = os.environ.get("UNILABOS_BASICCONFIG_CONFIG_PATH", None)
@@ -41,7 +126,7 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
     for i, arg in enumerate(sys.argv):
         for option_string in option_strings:
             if arg.startswith(option_string):
-                new_arg = arg[:2] + arg[2:len(option_string)].replace("-", "_") + arg[len(option_string):]
+                new_arg = arg[:2] + arg[2 : len(option_string)].replace("-", "_") + arg[len(option_string) :]
                 sys.argv[i] = new_arg
                 break
 
@@ -49,6 +134,8 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
 def parse_args():
     """解析命令行参数"""
     parser = argparse.ArgumentParser(description="Start Uni-Lab Edge server.")
+    subparsers = parser.add_subparsers(title="Valid subcommands", dest="command")
+
     parser.add_argument("-g", "--graph", help="Physical setup graph file path.")
     parser.add_argument("-c", "--controllers", default=None, help="Controllers config file path.")
     parser.add_argument(
@@ -58,6 +145,13 @@ def parse_args():
         action="append",
         help="Path to the registry directory",
     )
+    parser.add_argument(
+        "--devices",
+        type=str,
+        default=None,
+        action="append",
+        help="Path to Python code directory for AST-based device/resource scanning",
+    )
     parser.add_argument(
         "--working_dir",
         type=str,
@@ -139,7 +233,7 @@ def parse_args():
     parser.add_argument(
         "--addr",
         type=str,
-        default=None,
+        default="https://uni-lab.bohrium.com/api/v1",
         help="Laboratory backend address",
     )
     parser.add_argument(
@@ -147,11 +241,91 @@ def parse_args():
         action="store_true",
         help="Skip environment dependency check on startup",
     )
+    parser.add_argument(
+        "--check_mode",
+        action="store_true",
+        default=False,
+        help="Run in check mode for CI: validates registry imports and ensures no file changes",
+    )
     parser.add_argument(
         "--complete_registry",
         action="store_true",
         default=False,
-        help="Complete registry information",
+        help="Complete and rewrite YAML registry files using AST analysis results",
+    )
+    parser.add_argument(
+        "--no_update_feedback",
+        action="store_true",
+        help="Disable sending update feedback to server",
+    )
+    parser.add_argument(
+        "--test_mode",
+        action="store_true",
+        default=False,
+        help="Test mode: all actions simulate execution and return mock results without running real hardware",
+    )
+    parser.add_argument(
+        "--external_devices_only",
+        action="store_true",
+        default=False,
+        help="Only load external device packages (--devices), skip built-in unilabos/devices/ scanning and YAML device registry",
+    )
+    parser.add_argument(
+        "--extra_resource",
+        action="store_true",
+        default=False,
+        help="Load extra lab_ prefixed labware resources (529 auto-generated definitions from lab_resources.py)",
+    )
+    parser.add_argument(
+        "--restart_mode",
+        action="store_true",
+        default=False,
+        help="Enable supervisor mode: automatically restart the process when triggered via WebSocket",
+    )
+    parser.add_argument(
+        "--auto_restart_count",
+        type=int,
+        default=500,
+        help="Maximum number of automatic restarts in restart mode (default: 500)",
+    )
+    # workflow upload subcommand
+    workflow_parser = subparsers.add_parser(
+        "workflow_upload",
+        aliases=["wf"],
+        help="Upload workflow from xdl/json/python files",
+    )
+    workflow_parser.add_argument(
+        "-f",
+        "--workflow_file",
+        type=str,
+        required=True,
+        help="Path to the workflow file (JSON format)",
+    )
+    workflow_parser.add_argument(
+        "-n",
+        "--workflow_name",
+        type=str,
+        default=None,
+        help="Workflow name, if not provided will use the name from file or filename",
+    )
+    workflow_parser.add_argument(
+        "--tags",
+        type=str,
+        nargs="*",
+        default=[],
+        help="Tags for the workflow (space-separated)",
+    )
+    workflow_parser.add_argument(
+        "--published",
+        action="store_true",
+        default=False,
+        help="Whether to publish the workflow (default: False)",
+    )
+    workflow_parser.add_argument(
+        "--description",
+        type=str,
+        default="",
+        help="Workflow description, used when publishing the workflow",
     )
     return parser
 
@@ -159,114 +333,120 @@ def parse_args():
 def main():
     """主函数"""
     # 解析命令行参数
-    args = parse_args()
-    convert_argv_dashes_to_underscores(args)
-    args_dict = vars(args.parse_args())
+    parser = parse_args()
+    convert_argv_dashes_to_underscores(parser)
+    args = parser.parse_args()
+    args_dict = vars(args)
+
+    # Supervisor mode: spawn child processes and monitor for restart
+    if args_dict.get("restart_mode", False):
+        _run_as_supervisor(args_dict.get("auto_restart_count", 5))
+        return
 
     # 环境检查 - 检查并自动安装必需的包 (可选)
-    if not args_dict.get("skip_env_check", False):
-        from unilabos.utils.environment_check import check_environment
+    skip_env_check = args_dict.get("skip_env_check", False)
+    check_mode = args_dict.get("check_mode", False)
+
+    if not skip_env_check:
+        from unilabos.utils.environment_check import check_environment, check_device_package_requirements
 
-        print_status("正在进行环境依赖检查...", "info")
         if not check_environment(auto_install=True):
             print_status("环境检查失败，程序退出", "error")
             os._exit(1)
+
+        # 第一次设备包依赖检查：build_registry 之前，确保 import map 可用
+        devices_dirs_for_req = args_dict.get("devices", None)
+        if devices_dirs_for_req:
+            if not check_device_package_requirements(devices_dirs_for_req):
+                print_status("设备包依赖检查失败，程序退出", "error")
+                os._exit(1)
     else:
         print_status("跳过环境依赖检查", "warning")
 
     # 加载配置文件，优先加载config，然后从env读取
     config_path = args_dict.get("config")
-    if os.getcwd().endswith("unilabos_data"):
-        working_dir = os.path.abspath(os.getcwd())
-    else:
-        working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
 
-    if args_dict.get("working_dir"):
-        working_dir = args_dict.get("working_dir", "")
-        if config_path and not os.path.exists(config_path):
-            config_path = os.path.join(working_dir, "local_config.py")
-            if not os.path.exists(config_path):
-                print_status(
-                    f"当前工作目录 {working_dir} 未找到local_config.py，请通过 --config 传入 local_config.py 文件路径",
-                    "error",
-                )
-                os._exit(1)
+    # === 解析 working_dir ===
+    # 规则1: working_dir 传入 → 检测 unilabos_data 子目录，已是则不修改
+    # 规则2: 仅 config_path 传入 → 用其父目录作为 working_dir
+    # 规则4: 两者都传入 → 各用各的，但 working_dir 仍做 unilabos_data 子目录检测
+    raw_working_dir = args_dict.get("working_dir")
+    if raw_working_dir:
+        working_dir = os.path.abspath(raw_working_dir)
     elif config_path and os.path.exists(config_path):
-        working_dir = os.path.dirname(config_path)
-    elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
-        config_path = os.path.join(working_dir, "local_config.py")
-    elif not config_path and (
-        not os.path.exists(working_dir) or not os.path.exists(os.path.join(working_dir, "local_config.py"))
-    ):
-        print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
-        print_status(f"您是否为第一次使用？并将当前路径 {working_dir} 作为工作目录？ (Y/n)", "info")
-        if input() != "n":
-            os.makedirs(working_dir, exist_ok=True)
-            config_path = os.path.join(working_dir, "local_config.py")
-            shutil.copy(
-                os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"), config_path
-            )
-            print_status(f"已创建 local_config.py 路径： {config_path}", "info")
+        working_dir = os.path.dirname(os.path.abspath(config_path))
+    else:
+        working_dir = os.path.abspath(os.getcwd())
+
+    # unilabos_data 子目录自动检测
+    if os.path.basename(working_dir) != "unilabos_data":
+        unilabos_data_sub = os.path.join(working_dir, "unilabos_data")
+        if os.path.isdir(unilabos_data_sub):
+            working_dir = unilabos_data_sub
+        elif not raw_working_dir and not (config_path and os.path.exists(config_path)):
+            # 未显式指定路径，默认使用 cwd/unilabos_data
+            working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
+
+    # === 解析 config_path ===
+    if config_path and not os.path.exists(config_path):
+        # config_path 传入但不存在，尝试在 working_dir 中查找
+        candidate = os.path.join(working_dir, "local_config.py")
+        if os.path.exists(candidate):
+            config_path = candidate
+            print_status(f"在工作目录中发现配置文件: {config_path}", "info")
         else:
+            print_status(
+                f"配置文件 {config_path} 不存在，工作目录 {working_dir} 中也未找到 local_config.py，"
+                f"请通过 --config 传入 local_config.py 文件路径",
+                "error",
+            )
             os._exit(1)
-    # 加载配置文件
+    elif not config_path:
+        # 规则3: 未传入 config_path，尝试 working_dir/local_config.py
+        candidate = os.path.join(working_dir, "local_config.py")
+        if os.path.exists(candidate):
+            config_path = candidate
+            print_status(f"发现本地配置文件: {config_path}", "info")
+        else:
+            print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
+            print_status(f"您是否为第一次使用？并将当前路径 {working_dir} 作为工作目录？ (Y/n)", "info")
+            if check_mode or input() != "n":
+                os.makedirs(working_dir, exist_ok=True)
+                config_path = os.path.join(working_dir, "local_config.py")
+                shutil.copy(
+                    os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"),
+                    config_path,
+                )
+                print_status(f"已创建 local_config.py 路径： {config_path}", "info")
+            else:
+                os._exit(1)
+
+    # 加载配置文件 (check_mode 跳过)
     print_status(f"当前工作目录为 {working_dir}", "info")
-    load_config_from_file(config_path)
+    if not check_mode:
+        load_config_from_file(config_path)
 
     # 根据配置重新设置日志级别
     from unilabos.utils.log import configure_logger, logger
 
     if hasattr(BasicConfig, "log_level"):
         logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.")
-        configure_logger(loglevel=BasicConfig.log_level)
+    file_path = configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
+    if file_path is not None:
+        logger.info(f"[LOG_FILE] {file_path}")
 
-    # 选择地址优先级：命令行 > 配置文件 > 默认线上
-    addr_cli = args_dict.get("addr", None)
-    addr_cfg = getattr(BasicConfig, "addr", None)
-    effective_addr = addr_cli if (addr_cli not in (None, "")) else addr_cfg
-
-    if effective_addr == "test":
-        print_status("使用测试环境地址", "info")
-        HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
-    elif effective_addr == "uat":
-        print_status("使用uat环境地址", "info")
-        HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
-    elif effective_addr == "local":
-        print_status("使用本地环境地址", "info")
-        HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
-    elif effective_addr:
-        HTTPConfig.remote_addr = effective_addr
-        print_status(f"使用配置/命令行提供的自定义地址: {effective_addr}", "info")
-    else:
-        # 默认地址
-        HTTPConfig.remote_addr = "https://uni-lab.bohrium.com/api/v1"
-        print_status("未提供地址，使用默认线上地址", "info")
-
-    # 选择端口优先级：命令行 > 配置文件 > 默认 8002
-    port_cli = args_dict.get("port", None)
-    port_cfg = getattr(BasicConfig, "port", None) if hasattr(BasicConfig, "port") else None
-    effective_port = port_cli if (port_cli is not None) else (port_cfg if (port_cfg is not None) else 8002)
-    args_dict["port"] = effective_port
-    if port_cli is not None:
-        print_status(f"使用命令行端口 {effective_port}", "info")
-    elif port_cfg is not None:
-        print_status(f"使用配置文件端口 {effective_port}", "info")
-    else:
-        print_status(f"未提供端口，使用默认端口 {effective_port}", "info")
-
-    # 选择是否打开浏览器：命令行(是否包含 --disable_browser) > 配置文件 > 默认 False
-    disable_browser_cli = "--disable_browser" in sys.argv
-    if disable_browser_cli:
-        args_dict["disable_browser"] = True
-        print_status("使用命令行设置：禁用浏览器", "info")
-    else:
-        disable_cfg = getattr(BasicConfig, "disable_browser", None)
-        if isinstance(disable_cfg, bool):
-            args_dict["disable_browser"] = disable_cfg
-            print_status(f"使用配置文件设置：disable_browser={disable_cfg}", "info")
+    if args.addr != parser.get_default("addr"):
+        if args.addr == "test":
+            print_status("使用测试环境地址", "info")
+            HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
+        elif args.addr == "uat":
+            print_status("使用uat环境地址", "info")
+            HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
+        elif args.addr == "local":
+            print_status("使用本地环境地址", "info")
+            HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
         else:
-            args_dict["disable_browser"] = False
-            print_status("未提供 disable_browser，默认开启浏览器", "info")
+            HTTPConfig.remote_addr = args.addr
 
     # 设置BasicConfig参数
     if args_dict.get("ak", ""):
@@ -275,9 +455,12 @@ def main():
     if args_dict.get("sk", ""):
         BasicConfig.sk = args_dict.get("sk", "")
         print_status("传入了sk参数，优先采用传入参数！", "info")
+    BasicConfig.working_dir = working_dir
+
+    workflow_upload = args_dict.get("command") in ("workflow_upload", "wf")
 
     # 使用远程资源启动
-    if args_dict["use_remote_resource"]:
+    if not workflow_upload and args_dict["use_remote_resource"]:
         print_status("使用远程资源启动", "info")
         from unilabos.app.web import http_client
 
@@ -288,46 +471,102 @@ def main():
         else:
             print_status("远程资源不存在，本地将进行首次上报！", "info")
 
-    BasicConfig.working_dir = working_dir
+    BasicConfig.port = args_dict["port"] if args_dict["port"] else BasicConfig.port
+    BasicConfig.disable_browser = args_dict["disable_browser"] or BasicConfig.disable_browser
     BasicConfig.is_host_mode = not args_dict.get("is_slave", False)
     BasicConfig.slave_no_host = args_dict.get("slave_no_host", False)
     BasicConfig.upload_registry = args_dict.get("upload_registry", False)
+    BasicConfig.no_update_feedback = args_dict.get("no_update_feedback", False)
+    BasicConfig.test_mode = args_dict.get("test_mode", False)
+    if BasicConfig.test_mode:
+        print_status("启用测试模式：所有动作将模拟执行，不调用真实硬件", "warning")
+    BasicConfig.extra_resource = args_dict.get("extra_resource", False)
+    if BasicConfig.extra_resource:
+        print_status("启用额外资源加载：将加载lab_开头的labware资源定义", "info")
     BasicConfig.communication_protocol = "websocket"
-    machine_name = os.popen("hostname").read().strip()
+    machine_name = platform.node()
     machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
     BasicConfig.machine_name = machine_name
     BasicConfig.vis_2d_enable = args_dict["2d_vis"]
+    BasicConfig.check_mode = check_mode
 
-    from unilabos.resources.graphio import (
-        read_node_link_json,
-        read_graphml,
-        dict_from_graph,
-    )
-    from unilabos.app.communication import get_communication_client
     from unilabos.registry.registry import build_registry
-    from unilabos.app.backend import start_backend
-    from unilabos.app.web import http_client
-    from unilabos.app.web import start_server
-    from unilabos.app.register import register_devices_and_resources
-    from unilabos.resources.graphio import modify_to_backend_format
-    from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict
 
     # 显示启动横幅
     print_unilab_banner(args_dict)
 
-    # 注册表
+    # Step 0: AST 分析优先 + YAML 注册表加载
+    # check_mode 和 upload_registry 都会执行实际 import 验证
+    devices_dirs = args_dict.get("devices", None)
+    complete_registry = args_dict.get("complete_registry", False) or check_mode
+    external_only = args_dict.get("external_devices_only", False)
     lab_registry = build_registry(
-        args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"]
+        registry_paths=args_dict["registry_path"],
+        devices_dirs=devices_dirs,
+        upload_registry=BasicConfig.upload_registry,
+        check_mode=check_mode,
+        complete_registry=complete_registry,
+        external_only=external_only,
     )
 
+    # Check mode: 注册表验证完成后直接退出
+    if check_mode:
+        device_count = len(lab_registry.device_type_registry)
+        resource_count = len(lab_registry.resource_type_registry)
+        print_status(f"Check mode: 注册表验证完成 ({device_count} 设备, {resource_count} 资源)，退出", "info")
+        os._exit(0)
+
+    # 以下导入依赖 ROS2 环境，check_mode 已退出不需要
+    from unilabos.resources.graphio import (
+        read_node_link_json,
+        read_graphml,
+        dict_from_graph,
+        modify_to_backend_format,
+    )
+    from unilabos.app.communication import get_communication_client
+    from unilabos.app.backend import start_backend
+    from unilabos.app.web import http_client
+    from unilabos.app.web import start_server
+    from unilabos.app.register import register_devices_and_resources
+    from unilabos.resources.resource_tracker import ResourceTreeSet, ResourceDict
+
+    # Step 1: 上传全部注册表到服务端，同步保存到 unilabos_data
+    if BasicConfig.upload_registry:
+        if BasicConfig.ak and BasicConfig.sk:
+            # print_status("开始注册设备到服务端...", "info")
+            try:
+                register_devices_and_resources(lab_registry)
+                # print_status("设备注册完成", "info")
+            except Exception as e:
+                print_status(f"设备注册失败: {e}", "error")
+        else:
+            print_status("未提供 ak 和 sk，跳过设备注册", "info")
+    else:
+        print_status("本次启动注册表不报送云端，如果您需要联网调试，请在启动命令增加--upload_registry", "warning")
+
+    # 处理 workflow_upload 子命令
+    if workflow_upload:
+        from unilabos.workflow.wf_utils import handle_workflow_upload_command
+
+        handle_workflow_upload_command(args_dict)
+        print_status("工作流上传完成，程序退出", "info")
+        os._exit(0)
+
     if not BasicConfig.ak or not BasicConfig.sk:
-        print_status("后续运行必须拥有一个实验室，请前往 https://uni-lab.bohrium.com 注册实验室！", "warning")
-        os._exit(1)
+        if BasicConfig.test_mode:
+            print_status("测试模式：跳过 ak/sk 检查，使用占位凭据", "warning")
+            BasicConfig.ak = BasicConfig.ak or "test_ak"
+            BasicConfig.sk = BasicConfig.sk or "test_sk"
+        else:
+            print_status("后续运行必须拥有一个实验室，请前往 https://uni-lab.bohrium.com 注册实验室！", "warning")
+            os._exit(1)
     graph: nx.Graph
     resource_tree_set: ResourceTreeSet
     resource_links: List[Dict[str, Any]]
     request_startup_json = http_client.request_startup_json()
-    if args_dict["graph"] is None:
+
+    file_path = args_dict.get("graph", BasicConfig.startup_json_path)
+    if file_path is None:
         if not request_startup_json:
             print_status(
                 "未指定设备加载文件路径，尝试从HTTP获取失败，请检查网络或者使用-g参数指定设备加载文件路径", "error"
@@ -337,7 +576,6 @@ def main():
             print_status("联网获取设备加载文件成功", "info")
         graph, resource_tree_set, resource_links = read_node_link_json(request_startup_json)
     else:
-        file_path = args_dict["graph"]
         if not os.path.isfile(file_path):
             temp_file_path = os.path.abspath(str(os.path.join(__file__, "..", "..", file_path)))
             if os.path.isfile(temp_file_path):
@@ -360,6 +598,10 @@ def main():
     for ind, i in enumerate(resource_edge_info[::-1]):
         source_node: ResourceDict = nodes[i["source"]]
         target_node: ResourceDict = nodes[i["target"]]
+        if "sourceHandle" not in source_node:
+            continue
+        if "targetHandle" not in target_node:
+            continue
         source_handle = i["sourceHandle"]
         target_handle = i["targetHandle"]
         source_handler_keys = [
@@ -384,31 +626,21 @@ def main():
             continue
 
     # 如果从远端获取了物料信息，则与本地物料进行同步
-    if request_startup_json and "nodes" in request_startup_json:
+    if file_path is not None and request_startup_json and "nodes" in request_startup_json:
         print_status("开始同步远端物料到本地...", "info")
-        remote_tree_set = ResourceTreeSet.from_raw_list(request_startup_json["nodes"])
+        remote_tree_set = ResourceTreeSet.from_raw_dict_list(request_startup_json["nodes"])
         resource_tree_set.merge_remote_resources(remote_tree_set)
         print_status("远端物料同步完成", "info")
 
+    # 第二次设备包依赖检查：云端物料同步后，community 包可能引入新的 requirements
+    # TODO: 当 community device package 功能上线后，在这里调用
+    #   install_requirements_txt(community_pkg_path / "requirements.txt", label="community.xxx")
+
     # 使用 ResourceTreeSet 代替 list
     args_dict["resources_config"] = resource_tree_set
     args_dict["devices_config"] = resource_tree_set
     args_dict["graph"] = graph_res.physical_setup_graph
 
-    if BasicConfig.upload_registry:
-        # 设备注册到服务端 - 需要 ak 和 sk
-        if BasicConfig.ak and BasicConfig.sk:
-            print_status("开始注册设备到服务端...", "info")
-            try:
-                register_devices_and_resources(lab_registry)
-                print_status("设备注册完成", "info")
-            except Exception as e:
-                print_status(f"设备注册失败: {e}", "error")
-        else:
-            print_status("未提供 ak 和 sk，跳过设备注册", "info")
-    else:
-        print_status("本次启动注册表不报送云端，如果您需要联网调试，请在启动命令增加--upload_registry", "warning")
-
     if args_dict["controllers"] is not None:
         args_dict["controllers_config"] = yaml.safe_load(open(args_dict["controllers"], encoding="utf-8"))
     else:
@@ -423,6 +655,7 @@ def main():
         comm_client = get_communication_client()
         if "websocket" in args_dict["app_bridges"]:
             args_dict["bridges"].append(comm_client)
+
             def _exit(signum, frame):
                 comm_client.stop()
                 sys.exit(0)
@@ -454,8 +687,8 @@ def main():
             server_thread = threading.Thread(
                 target=start_server,
                 kwargs=dict(
-                    open_browser=not args_dict["disable_browser"],
-                    port=args_dict["port"],
+                    open_browser=not BasicConfig.disable_browser,
+                    port=BasicConfig.port,
                 ),
             )
             server_thread.start()
@@ -464,16 +697,13 @@ def main():
                 resource_visualization.start()
             except OSError as e:
                 if "AMENT_PREFIX_PATH" in str(e):
-                    print_status(
-                        f"ROS 2环境未正确设置，跳过3D可视化启动。错误详情: {e}",
-                        "warning"
-                    )
+                    print_status(f"ROS 2环境未正确设置，跳过3D可视化启动。错误详情: {e}", "warning")
                     print_status(
                         "建议解决方案：\n"
                         "1. 激活Conda环境: conda activate unilab\n"
                         "2. 或使用 --backend simple 参数\n"
                         "3. 或使用 --visual disable 参数禁用可视化",
-                        "info"
+                        "info",
                     )
                 else:
                     raise
@@ -481,16 +711,26 @@ def main():
                 time.sleep(1)
         else:
             start_backend(**args_dict)
-            start_server(
+            restart_requested = start_server(
                 open_browser=not args_dict["disable_browser"],
-                port=args_dict["port"],
+                port=BasicConfig.port,
             )
+            if restart_requested:
+                print_status("[Main] Restart requested, cleaning up...", "info")
+                cleanup_for_restart()
+                return
     else:
         start_backend(**args_dict)
-        start_server(
+
+        # 启动服务器（默认支持WebSocket触发重启）
+        restart_requested = start_server(
             open_browser=not args_dict["disable_browser"],
-            port=args_dict["port"],
+            port=BasicConfig.port,
         )
+        if restart_requested:
+            print_status("[Main] Restart requested, cleaning up...", "info")
+            cleanup_for_restart()
+            os._exit(RESTART_EXIT_CODE)
 
 
 if __name__ == "__main__":

unilabos/app/model.py

@@ -51,21 +51,26 @@ class Resp(BaseModel):
 class JobAddReq(BaseModel):
     device_id: str = Field(examples=["Gripper"], description="device id")
     action: str = Field(examples=["_execute_driver_command_async"], description="action name", default="")
-    action_type: str = Field(examples=["unilabos_msgs.action._str_single_input.StrSingleInput"], description="action name", default="")
-    action_args: dict = Field(examples=[{'string': 'string'}], description="action name", default="")
-    task_id: str = Field(examples=["task_id"], description="task uuid")
-    job_id: str = Field(examples=["job_id"], description="goal uuid")
-    node_id: str = Field(examples=["node_id"], description="node uuid")
-    server_info: dict = Field(examples=[{"send_timestamp": 1717000000.0}], description="server info")
+    action_type: str = Field(
+        examples=["unilabos_msgs.action._str_single_input.StrSingleInput"], description="action type", default=""
+    )
+    sample_material: dict = Field(examples=[{"string": "string"}], description="sample uuid to material uuid")
+    action_args: dict = Field(examples=[{"string": "string"}], description="action arguments", default_factory=dict)
+    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="")
+    server_info: dict = Field(
+        examples=[{"send_timestamp": 1717000000.0}],
+        description="server info (auto-generated if empty)",
+        default_factory=dict,
+    )
 
-    data: dict = Field(examples=[{"position": 30, "torque": 5, "action": "push_to"}], default={})
+    data: dict = Field(examples=[{"position": 30, "torque": 5, "action": "push_to"}], default_factory=dict)
 
 
 class JobStepFinishReq(BaseModel):
     token: str = Field(examples=["030944"], description="token")
-    request_time: str = Field(
-        examples=["2024-12-12 12:12:12.xxx"], description="requestTime"
-    )
+    request_time: str = Field(examples=["2024-12-12 12:12:12.xxx"], description="requestTime")
     data: dict = Field(
         examples=[
             {
@@ -83,9 +88,7 @@ class JobStepFinishReq(BaseModel):
 
 class JobPreintakeFinishReq(BaseModel):
     token: str = Field(examples=["030944"], description="token")
-    request_time: str = Field(
-        examples=["2024-12-12 12:12:12.xxx"], description="requestTime"
-    )
+    request_time: str = Field(examples=["2024-12-12 12:12:12.xxx"], description="requestTime")
     data: dict = Field(
         examples=[
             {
@@ -102,9 +105,7 @@ class JobPreintakeFinishReq(BaseModel):
 
 class JobFinishReq(BaseModel):
     token: str = Field(examples=["030944"], description="token")
-    request_time: str = Field(
-        examples=["2024-12-12 12:12:12.xxx"], description="requestTime"
-    )
+    request_time: str = Field(examples=["2024-12-12 12:12:12.xxx"], description="requestTime")
     data: dict = Field(
         examples=[
             {
@@ -133,6 +134,10 @@ class JobData(BaseModel):
         default=0,
         description="0:UNKNOWN, 1:ACCEPTED, 2:EXECUTING, 3:CANCELING, 4:SUCCEEDED, 5:CANCELED, 6:ABORTED",
     )
+    result: dict = Field(
+        default_factory=dict,
+        description="Job result data (available when status is SUCCEEDED/CANCELED/ABORTED)",
+    )
 
 
 class JobStatusResp(Resp):

unilabos/app/oss_upload.py

@@ -1,161 +1,158 @@
 import argparse
 import os
 import time
-from typing import Dict, Optional, Tuple
+from datetime import datetime
+from pathlib import Path
+from typing import Dict, Optional, Tuple, Union
 
 import requests
 
-from unilabos.config.config import OSSUploadConfig
+from unilabos.app.web.client import http_client, HTTPClient
+from unilabos.utils import logger
 
 
-def _init_upload(file_path: str, oss_path: str, filename: Optional[str] = None,
-                process_key: str = "file-upload", device_id: str = "default",
-                expires_hours: int = 1) -> Tuple[bool, Dict]:
+def _get_oss_token(
+    filename: str,
+    driver_name: str = "default",
+    exp_type: str = "default",
+    client: Optional[HTTPClient] = None,
+) -> Tuple[bool, Dict]:
     """
-    初始化上传过程
+    获取OSS上传Token
 
     Args:
-        file_path: 本地文件路径
-        oss_path: OSS目标路径
-        filename: 文件名，如果为None则使用file_path的文件名
-        process_key: 处理键
-        device_id: 设备ID
-        expires_hours: 链接过期小时数
+        filename: 文件名
+        driver_name: 驱动名称
+        exp_type: 实验类型
+        client: HTTPClient实例，如果不提供则使用默认的http_client
 
     Returns:
-        (成功标志, 响应数据)
+        (成功标志, Token数据字典包含token/path/host/expires)
     """
-    if filename is None:
-        filename = os.path.basename(file_path)
+    # 使用提供的client或默认的http_client
+    if client is None:
+        client = http_client
 
-    # 构造初始化请求
-    url = f"{OSSUploadConfig.api_host}{OSSUploadConfig.init_endpoint}"
-    headers = {
-        "Authorization": OSSUploadConfig.authorization,
-        "Content-Type": "application/json"
-    }
+    # 构造scene参数: driver_name-exp_type
+    sub_path = f"{driver_name}-{exp_type}"
 
-    payload = {
-        "device_id": device_id,
-        "process_key": process_key,
-        "filename": filename,
-        "path": oss_path,
-        "expires_hours": expires_hours
-    }
+    # 构造请求URL，使用client的remote_addr（已包含/api/v1/）
+    url = f"{client.remote_addr}/applications/token"
+    params = {"sub_path": sub_path, "filename": filename, "scene": "job"}
 
     try:
-        response = requests.post(url, headers=headers, json=payload)
-        if response.status_code == 201:
-            result = response.json()
-            if result.get("code") == "10000":
-                return True, result.get("data", {})
+        logger.info(f"[OSS] 请求预签名URL: sub_path={sub_path}, filename={filename}")
+        response = requests.get(url, params=params, headers={"Authorization": f"Lab {client.auth}"}, timeout=10)
 
-        print(f"初始化上传失败: {response.status_code}, {response.text}")
+        if response.status_code == 200:
+            result = response.json()
+            if result.get("code") == 0:
+                data = result.get("data", {})
+
+                # 转换expires时间戳为可读格式
+                expires_timestamp = data.get("expires", 0)
+                expires_datetime = datetime.fromtimestamp(expires_timestamp)
+                expires_str = expires_datetime.strftime("%Y-%m-%d %H:%M:%S")
+
+                logger.info(f"[OSS] 获取预签名URL成功")
+                logger.info(f"[OSS]   - URL: {data.get('url', 'N/A')}")
+                logger.info(f"[OSS]   - Expires: {expires_str} (timestamp: {expires_timestamp})")
+
+                return True, data
+
+        logger.error(f"[OSS] 获取预签名URL失败: {response.status_code}, {response.text}")
         return False, {}
     except Exception as e:
-        print(f"初始化上传异常: {str(e)}")
+        logger.error(f"[OSS] 获取预签名URL异常: {str(e)}")
         return False, {}
 
 
 def _put_upload(file_path: str, upload_url: str) -> bool:
     """
-    执行PUT上传
+    使用预签名URL上传文件到OSS
 
     Args:
         file_path: 本地文件路径
-        upload_url: 上传URL
+        upload_url: 完整的预签名上传URL
 
     Returns:
         是否成功
     """
     try:
+        logger.info(f"[OSS] 开始上传文件: {file_path}")
+
         with open(file_path, "rb") as f:
-            response = requests.put(upload_url, data=f)
+            # 使用预签名URL上传，不需要额外的认证header
+            response = requests.put(upload_url, data=f, timeout=300)
+
             if response.status_code == 200:
+                logger.info(f"[OSS] 文件上传成功")
                 return True
 
-        print(f"PUT上传失败: {response.status_code}, {response.text}")
+        logger.error(f"[OSS] 上传失败: {response.status_code}")
+        logger.error(f"[OSS] 响应内容: {response.text[:500] if response.text else '无响应内容'}")
         return False
     except Exception as e:
-        print(f"PUT上传异常: {str(e)}")
+        logger.error(f"[OSS] 上传异常: {str(e)}")
         return False
 
 
-def _complete_upload(uuid: str) -> bool:
-    """
-    完成上传过程
-
-    Args:
-        uuid: 上传的UUID
-
-    Returns:
-        是否成功
-    """
-    url = f"{OSSUploadConfig.api_host}{OSSUploadConfig.complete_endpoint}"
-    headers = {
-        "Authorization": OSSUploadConfig.authorization,
-        "Content-Type": "application/json"
-    }
-
-    payload = {
-        "uuid": uuid
-    }
-
-    try:
-        response = requests.post(url, headers=headers, json=payload)
-        if response.status_code == 200:
-            result = response.json()
-            if result.get("code") == "10000":
-                return True
-
-        print(f"完成上传失败: {response.status_code}, {response.text}")
-        return False
-    except Exception as e:
-        print(f"完成上传异常: {str(e)}")
-        return False
-
-
-def oss_upload(file_path: str, oss_path: str, filename: Optional[str] = None,
-              process_key: str = "file-upload", device_id: str = "default") -> bool:
+def oss_upload(
+    file_path: Union[str, Path],
+    filename: Optional[str] = None,
+    driver_name: str = "default",
+    exp_type: str = "default",
+    max_retries: int = 3,
+    client: Optional[HTTPClient] = None,
+) -> Dict:
     """
     文件上传主函数，包含重试机制
 
     Args:
         file_path: 本地文件路径
-        oss_path: OSS目标路径
         filename: 文件名，如果为None则使用file_path的文件名
-        process_key: 处理键
-        device_id: 设备ID
+        driver_name: 驱动名称，用于构造scene
+        exp_type: 实验类型，用于构造scene
+        max_retries: 最大重试次数
+        client: HTTPClient实例，如果不提供则使用默认的http_client
 
     Returns:
-        是否成功上传
+        Dict: {
+            "success": bool,  # 是否上传成功
+            "original_path": str,  # 原始文件路径
+            "oss_path": str  # OSS路径（成功时）或空字符串（失败时）
+        }
     """
-    max_retries = OSSUploadConfig.max_retries
+    file_path = Path(file_path)
+    if filename is None:
+        filename = os.path.basename(file_path)
+
+    if not os.path.exists(file_path):
+        logger.error(f"[OSS] 文件不存在: {file_path}")
+        return {"success": False, "original_path": file_path, "oss_path": ""}
+
     retry_count = 0
+    oss_path = ""
 
     while retry_count < max_retries:
         try:
-            # 步骤1：初始化上传
-            init_success, init_data = _init_upload(
-                file_path=file_path,
-                oss_path=oss_path,
-                filename=filename,
-                process_key=process_key,
-                device_id=device_id
+            # 步骤1：获取预签名URL
+            token_success, token_data = _get_oss_token(
+                filename=filename, driver_name=driver_name, exp_type=exp_type, client=client
             )
 
-            if not init_success:
-                print(f"初始化上传失败，重试 {retry_count + 1}/{max_retries}")
+            if not token_success:
+                logger.warning(f"[OSS] 获取预签名URL失败，重试 {retry_count + 1}/{max_retries}")
                 retry_count += 1
-                time.sleep(1)  # 等待1秒后重试
+                time.sleep(1)
                 continue
 
-            # 获取UUID和上传URL
-            uuid = init_data.get("uuid")
-            upload_url = init_data.get("upload_url")
+            # 获取预签名URL和OSS路径
+            upload_url = token_data.get("url")
+            oss_path = token_data.get("path", "")
 
-            if not uuid or not upload_url:
-                print(f"初始化上传返回数据不完整，重试 {retry_count + 1}/{max_retries}")
+            if not upload_url:
+                logger.warning(f"[OSS] 无法获取上传URL，API未返回url字段")
                 retry_count += 1
                 time.sleep(1)
                 continue
@@ -163,69 +160,82 @@ def oss_upload(file_path: str, oss_path: str, filename: Optional[str] = None,
             # 步骤2：PUT上传文件
             put_success = _put_upload(file_path, upload_url)
             if not put_success:
-                print(f"PUT上传失败，重试 {retry_count + 1}/{max_retries}")
-                retry_count += 1
-                time.sleep(1)
-                continue
-
-            # 步骤3：完成上传
-            complete_success = _complete_upload(uuid)
-            if not complete_success:
-                print(f"完成上传失败，重试 {retry_count + 1}/{max_retries}")
+                logger.warning(f"[OSS] PUT上传失败，重试 {retry_count + 1}/{max_retries}")
                 retry_count += 1
                 time.sleep(1)
                 continue
 
             # 所有步骤都成功
-            print(f"文件 {file_path} 上传成功")
-            return True
+            logger.info(f"[OSS] 文件 {file_path} 上传成功")
+            return {"success": True, "original_path": file_path, "oss_path": oss_path}
 
         except Exception as e:
-            print(f"上传过程异常: {str(e)}，重试 {retry_count + 1}/{max_retries}")
+            logger.error(f"[OSS] 上传过程异常: {str(e)}，重试 {retry_count + 1}/{max_retries}")
             retry_count += 1
             time.sleep(1)
 
-    print(f"文件 {file_path} 上传失败，已达到最大重试次数 {max_retries}")
-    return False
+    logger.error(f"[OSS] 文件 {file_path} 上传失败，已达到最大重试次数 {max_retries}")
+    return {"success": False, "original_path": file_path, "oss_path": oss_path}
 
 
 if __name__ == "__main__":
-    # python -m unilabos.app.oss_upload -f /path/to/your/file.txt
+    # python -m unilabos.app.oss_upload -f /path/to/your/file.txt --driver HPLC --type test
+    # python -m unilabos.app.oss_upload -f /path/to/your/file.txt --driver HPLC --type test \
+    #        --ak xxx --sk yyy --remote-addr http://xxx/api/v1
     # 命令行参数解析
-    parser = argparse.ArgumentParser(description='文件上传测试工具')
-    parser.add_argument('--file', '-f', type=str, required=True, help='要上传的本地文件路径')
-    parser.add_argument('--path', '-p', type=str, default='/HPLC1/Any', help='OSS目标路径')
-    parser.add_argument('--device', '-d', type=str, default='test-device', help='设备ID')
-    parser.add_argument('--process', '-k', type=str, default='HPLC-txt-result', help='处理键')
+    parser = argparse.ArgumentParser(description="文件上传测试工具")
+    parser.add_argument("--file", "-f", type=str, required=True, help="要上传的本地文件路径")
+    parser.add_argument("--driver", "-d", type=str, default="default", help="驱动名称")
+    parser.add_argument("--type", "-t", type=str, default="default", help="实验类型")
+    parser.add_argument("--ak", type=str, help="Access Key，如果提供则覆盖配置")
+    parser.add_argument("--sk", type=str, help="Secret Key，如果提供则覆盖配置")
+    parser.add_argument("--remote-addr", type=str, help="远程服务器地址（包含/api/v1），如果提供则覆盖配置")
 
     args = parser.parse_args()
 
     # 检查文件是否存在
     if not os.path.exists(args.file):
-        print(f"错误：文件 {args.file} 不存在")
+        logger.error(f"错误：文件 {args.file} 不存在")
         exit(1)
 
-    print("=" * 50)
-    print(f"开始上传文件: {args.file}")
-    print(f"目标路径: {args.path}")
-    print(f"设备ID: {args.device}")
-    print(f"处理键: {args.process}")
-    print("=" * 50)
+    # 如果提供了ak/sk/remote_addr，创建临时HTTPClient
+    temp_client = None
+    if args.ak and args.sk:
+        import base64
+
+        auth = base64.b64encode(f"{args.ak}:{args.sk}".encode("utf-8")).decode("utf-8")
+        remote_addr = args.remote_addr if args.remote_addr else http_client.remote_addr
+        temp_client = HTTPClient(remote_addr=remote_addr, auth=auth)
+        logger.info(f"[配置] 使用自定义配置: remote_addr={remote_addr}")
+    elif args.remote_addr:
+        temp_client = HTTPClient(remote_addr=args.remote_addr, auth=http_client.auth)
+        logger.info(f"[配置] 使用自定义remote_addr: {args.remote_addr}")
+    else:
+        logger.info(f"[配置] 使用默认配置: remote_addr={http_client.remote_addr}")
+
+    logger.info("=" * 50)
+    logger.info(f"开始上传文件: {args.file}")
+    logger.info(f"驱动名称: {args.driver}")
+    logger.info(f"实验类型: {args.type}")
+    logger.info(f"Scene: {args.driver}-{args.type}")
+    logger.info("=" * 50)
 
     # 执行上传
-    success = oss_upload(
+    result = oss_upload(
         file_path=args.file,
-        oss_path=args.path,
         filename=None,  # 使用默认文件名
-        process_key=args.process,
-        device_id=args.device
+        driver_name=args.driver,
+        exp_type=args.type,
+        client=temp_client,
     )
 
     # 输出结果
-    if success:
-        print("\n√ 文件上传成功！")
+    if result["success"]:
+        logger.info(f"\n√ 文件上传成功！")
+        logger.info(f"原始路径: {result['original_path']}")
+        logger.info(f"OSS路径: {result['oss_path']}")
         exit(0)
     else:
-        print("\n× 文件上传失败！")
+        logger.error(f"\n× 文件上传失败！")
+        logger.error(f"原始路径: {result['original_path']}")
         exit(1)
-

unilabos/app/register.py

@@ -1,9 +1,8 @@
-import json
 import time
-from typing import Optional, Tuple, Dict, Any
+from typing import Any, Dict, Optional, Tuple
 
 from unilabos.utils.log import logger
-from unilabos.utils.type_check import TypeEncoder
+from unilabos.utils.tools import normalize_json as _normalize_device
 
 
 def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[Tuple[Dict[str, Any], Dict[str, Any]]]:
@@ -11,50 +10,63 @@ def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[
     注册设备和资源到服务器（仅支持HTTP）
     """
 
-    # 注册资源信息 - 使用HTTP方式
     from unilabos.app.web.client import http_client
 
     logger.info("[UniLab Register] 开始注册设备和资源...")
 
-    # 注册设备信息
     devices_to_register = {}
     for device_info in lab_registry.obtain_registry_device_info():
-        devices_to_register[device_info["id"]] = json.loads(
-            json.dumps(device_info, ensure_ascii=False, cls=TypeEncoder)
-        )
-        logger.debug(f"[UniLab Register] 收集设备: {device_info['id']}")
+        devices_to_register[device_info["id"]] = _normalize_device(device_info)
+        logger.trace(f"[UniLab Register] 收集设备: {device_info['id']}")
 
     resources_to_register = {}
     for resource_info in lab_registry.obtain_registry_resource_info():
         resources_to_register[resource_info["id"]] = resource_info
-        logger.debug(f"[UniLab Register] 收集资源: {resource_info['id']}")
+        logger.trace(f"[UniLab Register] 收集资源: {resource_info['id']}")
 
     if gather_only:
         return devices_to_register, resources_to_register
-    # 注册设备
+
     if devices_to_register:
         try:
             start_time = time.time()
-            response = http_client.resource_registry({"resources": list(devices_to_register.values())})
+            response = http_client.resource_registry(
+                {"resources": list(devices_to_register.values())},
+                tag="device_registry",
+            )
             cost_time = time.time() - start_time
-            if response.status_code in [200, 201]:
-                logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time}ms")
+            res_data = response.json() if response.status_code == 200 else {}
+            skipped = res_data.get("data", {}).get("skipped", False)
+            if skipped:
+                logger.info(
+                    f"[UniLab Register] 设备注册跳过（内容未变化）"
+                    f" {len(devices_to_register)} 个 {cost_time:.3f}s"
+                )
+            elif response.status_code in [200, 201]:
+                logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time:.3f}s")
             else:
-                logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time}ms")
+                logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time:.3f}s")
         except Exception as e:
             logger.error(f"[UniLab Register] 设备注册异常: {e}")
 
-    # 注册资源
     if resources_to_register:
         try:
             start_time = time.time()
-            response = http_client.resource_registry({"resources": list(resources_to_register.values())})
+            response = http_client.resource_registry(
+                {"resources": list(resources_to_register.values())},
+                tag="resource_registry",
+            )
             cost_time = time.time() - start_time
-            if response.status_code in [200, 201]:
-                logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time}ms")
+            res_data = response.json() if response.status_code == 200 else {}
+            skipped = res_data.get("data", {}).get("skipped", False)
+            if skipped:
+                logger.info(
+                    f"[UniLab Register] 资源注册跳过（内容未变化）"
+                    f" {len(resources_to_register)} 个 {cost_time:.3f}s"
+                )
+            elif response.status_code in [200, 201]:
+                logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time:.3f}s")
             else:
-                logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time}ms")
+                logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time:.3f}s")
         except Exception as e:
             logger.error(f"[UniLab Register] 资源注册异常: {e}")
-
-    logger.info("[UniLab Register] 设备和资源注册完成.")

unilabos/app/utils.py

@@ -0,0 +1,176 @@
+"""
+UniLabOS 应用工具函数
+
+提供清理、重启等工具函数
+"""
+
+import glob
+import os
+import shutil
+import sys
+
+
+def patch_rclpy_dll_windows():
+    """在 Windows + conda 环境下为 rclpy 打 DLL 加载补丁"""
+    if sys.platform != "win32" or not os.environ.get("CONDA_PREFIX"):
+        return
+    try:
+        import rclpy
+
+        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")
+    pyd = glob.glob(os.path.join(cp, "Lib", "site-packages", "rclpy", "_rclpy_pybind11*.pyd"))
+    if not os.path.exists(impl) or not pyd:
+        return
+    with open(impl, "r", encoding="utf-8") as f:
+        content = f.read()
+    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'
+    shutil.copy2(impl, impl + ".bak")
+    with open(impl, "w", encoding="utf-8") as f:
+        f.write(patch + content)
+
+
+patch_rclpy_dll_windows()
+
+import gc
+import threading
+import time
+
+from unilabos.utils.banner_print import print_status
+
+
+def cleanup_for_restart() -> bool:
+    """
+    Clean up all resources for restart without exiting the process.
+
+    This function prepares the system for re-initialization by:
+    1. Stopping all communication clients
+    2. Destroying ROS nodes
+    3. Resetting singletons
+    4. Waiting for threads to finish
+
+    Returns:
+        bool: True if cleanup was successful, False otherwise
+    """
+    print_status("[Restart] Starting cleanup for restart...", "info")
+
+    # Step 1: Stop WebSocket communication client
+    print_status("[Restart] Step 1: Stopping WebSocket client...", "info")
+    try:
+        from unilabos.app.communication import get_communication_client
+
+        comm_client = get_communication_client()
+        if comm_client is not None:
+            comm_client.stop()
+            print_status("[Restart] WebSocket client stopped", "info")
+    except Exception as e:
+        print_status(f"[Restart] Error stopping WebSocket: {e}", "warning")
+
+    # Step 2: Get HostNode and cleanup ROS
+    print_status("[Restart] Step 2: Cleaning up ROS nodes...", "info")
+    try:
+        from unilabos.ros.nodes.presets.host_node import HostNode
+        import rclpy
+        from rclpy.timer import Timer
+
+        host_instance = HostNode.get_instance(timeout=5)
+        if host_instance is not None:
+            print_status(f"[Restart] Found HostNode: {host_instance.device_id}", "info")
+
+            # Gracefully shutdown background threads
+            print_status("[Restart] Shutting down background threads...", "info")
+            HostNode.shutdown_background_threads(timeout=5.0)
+            print_status("[Restart] Background threads shutdown complete", "info")
+
+            # Stop discovery timer
+            if hasattr(host_instance, "_discovery_timer") and isinstance(host_instance._discovery_timer, Timer):
+                host_instance._discovery_timer.cancel()
+                print_status("[Restart] Discovery timer cancelled", "info")
+
+            # Destroy device nodes
+            device_count = len(host_instance.devices_instances)
+            print_status(f"[Restart] Destroying {device_count} device instances...", "info")
+            for device_id, device_node in list(host_instance.devices_instances.items()):
+                try:
+                    if hasattr(device_node, "ros_node_instance") and device_node.ros_node_instance is not None:
+                        device_node.ros_node_instance.destroy_node()
+                        print_status(f"[Restart] Device {device_id} destroyed", "info")
+                except Exception as e:
+                    print_status(f"[Restart] Error destroying device {device_id}: {e}", "warning")
+
+            # Clear devices instances
+            host_instance.devices_instances.clear()
+            host_instance.devices_names.clear()
+
+            # Destroy host node
+            try:
+                host_instance.destroy_node()
+                print_status("[Restart] HostNode destroyed", "info")
+            except Exception as e:
+                print_status(f"[Restart] Error destroying HostNode: {e}", "warning")
+
+            # Reset HostNode state
+            HostNode.reset_state()
+            print_status("[Restart] HostNode state reset", "info")
+
+        # Shutdown executor first (to stop executor.spin() gracefully)
+        if hasattr(rclpy, "__executor") and rclpy.__executor is not None:
+            try:
+                rclpy.__executor.shutdown()
+                rclpy.__executor = None  # Clear for restart
+                print_status("[Restart] ROS executor shutdown complete", "info")
+            except Exception as e:
+                print_status(f"[Restart] Error shutting down executor: {e}", "warning")
+
+        # Shutdown rclpy
+        if rclpy.ok():
+            rclpy.shutdown()
+            print_status("[Restart] rclpy shutdown complete", "info")
+
+    except ImportError as e:
+        print_status(f"[Restart] ROS modules not available: {e}", "warning")
+    except Exception as e:
+        print_status(f"[Restart] Error in ROS cleanup: {e}", "warning")
+        return False
+
+    # Step 3: Reset communication client singleton
+    print_status("[Restart] Step 3: Resetting singletons...", "info")
+    try:
+        from unilabos.app import communication
+
+        if hasattr(communication, "_communication_client"):
+            communication._communication_client = None
+            print_status("[Restart] Communication client singleton reset", "info")
+    except Exception as e:
+        print_status(f"[Restart] Error resetting communication singleton: {e}", "warning")
+
+    # Step 4: Wait for threads to finish
+    print_status("[Restart] Step 4: Waiting for threads to finish...", "info")
+    time.sleep(3)  # Give threads time to finish
+
+    # Check remaining threads
+    remaining_threads = []
+    for t in threading.enumerate():
+        if t.name != "MainThread" and t.is_alive():
+            remaining_threads.append(t.name)
+
+    if remaining_threads:
+        print_status(
+            f"[Restart] Warning: {len(remaining_threads)} threads still running: {remaining_threads}", "warning"
+        )
+    else:
+        print_status("[Restart] All threads stopped", "info")
+
+    # Step 5: Force garbage collection
+    print_status("[Restart] Step 5: Running garbage collection...", "info")
+    gc.collect()
+    gc.collect()  # Run twice for weak references
+    print_status("[Restart] Garbage collection complete", "info")
+
+    print_status("[Restart] Cleanup complete. Ready for re-initialization.", "info")
+    return True

unilabos/app/web/api.py

@@ -9,13 +9,22 @@ import asyncio
 
 import yaml
 
-from unilabos.app.web.controler import devices, job_add, job_info
+from unilabos.app.web.controller import (
+    devices,
+    job_add,
+    job_info,
+    get_online_devices,
+    get_device_actions,
+    get_action_schema,
+    get_all_available_actions,
+)
 from unilabos.app.model import (
     Resp,
     RespCode,
     JobStatusResp,
     JobAddResp,
     JobAddReq,
+    JobData,
 )
 from unilabos.app.web.utils.host_utils import get_host_node_info
 from unilabos.registry.registry import lab_registry
@@ -1043,7 +1052,7 @@ async def handle_file_import(websocket: WebSocket, request_data: dict):
                                 "result": {},
                                 "schema": lab_registry._generate_unilab_json_command_schema(v["args"], k),
                                 "goal_default": {i["name"]: i["default"] for i in v["args"]},
-                                "handles": [],
+                                "handles": {},
                             }
                             # 不生成已配置action的动作
                             for k, v in enhanced_info["action_methods"].items()
@@ -1234,6 +1243,65 @@ def get_devices():
     return Resp(data=dict(data))
 
 
+@api.get("/online-devices", summary="Online devices list", response_model=Resp)
+def api_get_online_devices():
+    """获取在线设备列表
+
+    返回当前在线的设备列表，包含设备ID、命名空间、机器名等信息
+    """
+    isok, data = get_online_devices()
+    if not isok:
+        return Resp(code=RespCode.ErrorHostNotInit, message=data.get("error", "Unknown error"))
+
+    return Resp(data=data)
+
+
+@api.get("/devices/{device_id}/actions", summary="Device actions list", response_model=Resp)
+def api_get_device_actions(device_id: str):
+    """获取设备可用的动作列表
+
+    Args:
+        device_id: 设备ID
+
+    返回指定设备的所有可用动作，包含动作名称、类型、是否繁忙等信息
+    """
+    isok, data = get_device_actions(device_id)
+    if not isok:
+        return Resp(code=RespCode.ErrorInvalidReq, message=data.get("error", "Unknown error"))
+
+    return Resp(data=data)
+
+
+@api.get("/devices/{device_id}/actions/{action_name}/schema", summary="Action schema", response_model=Resp)
+def api_get_action_schema(device_id: str, action_name: str):
+    """获取动作的Schema详情
+
+    Args:
+        device_id: 设备ID
+        action_name: 动作名称
+
+    返回动作的参数Schema、默认值、类型等详细信息
+    """
+    isok, data = get_action_schema(device_id, action_name)
+    if not isok:
+        return Resp(code=RespCode.ErrorInvalidReq, message=data.get("error", "Unknown error"))
+
+    return Resp(data=data)
+
+
+@api.get("/actions", summary="All available actions", response_model=Resp)
+def api_get_all_actions():
+    """获取所有设备的可用动作
+
+    返回所有已注册设备的动作列表，包含设备信息和各动作的状态
+    """
+    isok, data = get_all_available_actions()
+    if not isok:
+        return Resp(code=RespCode.ErrorHostNotInit, message=data.get("error", "Unknown error"))
+
+    return Resp(data=data)
+
+
 @api.get("/job/{id}/status", summary="Job status", response_model=JobStatusResp)
 def job_status(id: str):
     """获取任务状态"""
@@ -1244,11 +1312,22 @@ def job_status(id: str):
 @api.post("/job/add", summary="Create job", response_model=JobAddResp)
 def post_job_add(req: JobAddReq):
     """创建任务"""
-    device_id = req.device_id
-    if not req.data:
-        return Resp(code=RespCode.ErrorInvalidReq, message="Invalid request data")
+    # 检查必要参数：device_id 和 action
+    if not req.device_id:
+        return JobAddResp(
+            data=JobData(jobId="", status=6),
+            code=RespCode.ErrorInvalidReq,
+            message="device_id is required",
+        )
+
+    action_name = req.data.get("action", req.action) if req.data else req.action
+    if not action_name:
+        return JobAddResp(
+            data=JobData(jobId="", status=6),
+            code=RespCode.ErrorInvalidReq,
+            message="action is required",
+        )
 
-    req.device_id = device_id
     data = job_add(req)
     return JobAddResp(data=data)
 
@@ -1261,5 +1340,5 @@ def setup_api_routes(app):
     # 启动广播任务
     @app.on_event("startup")
     async def startup_event():
-        asyncio.create_task(broadcast_device_status())
-        asyncio.create_task(broadcast_status_page_data())
+        asyncio.create_task(broadcast_device_status(), name="web-api-startup-device")
+        asyncio.create_task(broadcast_status_page_data(), name="web-api-startup-status")

unilabos/app/web/client.py

@@ -3,15 +3,15 @@ HTTP客户端模块
 
 提供与远程服务器通信的客户端功能，只有host需要用
 """
-
+import gzip
 import json
 import os
-import time
-from threading import Thread
 from typing import List, Dict, Any, Optional
 
+from unilabos.utils.tools import fast_dumps as _fast_dumps, fast_dumps_pretty as _fast_dumps_pretty
+
 import requests
-from unilabos.ros.nodes.resource_tracker import ResourceTreeSet
+from unilabos.resources.resource_tracker import ResourceTreeSet
 from unilabos.utils.log import info
 from unilabos.config.config import HTTPConfig, BasicConfig
 from unilabos.utils import logger
@@ -76,7 +76,8 @@ class HTTPClient:
             Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
         """
         with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
-            f.write(json.dumps({"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}, indent=4))
+            payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
+            f.write(json.dumps(payload, indent=4))
         # 从序列化数据中提取所有节点的UUID（保存旧UUID）
         old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
         if not self.initialized or first_add:
@@ -281,24 +282,60 @@ class HTTPClient:
             )
         return response
 
-    def resource_registry(self, registry_data: Dict[str, Any] | List[Dict[str, Any]]) -> requests.Response:
+    def resource_registry(
+        self, registry_data: Dict[str, Any] | List[Dict[str, Any]], tag: str = "registry",
+    ) -> requests.Response:
         """
-        注册资源到服务器
+        注册资源到服务器，同步保存请求/响应到 unilabos_data
 
         Args:
             registry_data: 注册表数据，格式为 {resource_id: resource_info} / [{resource_info}]
+            tag: 保存文件的标签后缀 (如 "device_registry" / "resource_registry")
 
         Returns:
             Response: API响应对象
         """
+        # 序列化一次，同时用于保存和发送
+        json_bytes = _fast_dumps(registry_data)
+
+        # 保存请求数据到 unilabos_data
+        req_path = os.path.join(BasicConfig.working_dir, f"req_{tag}_upload.json")
+        try:
+            os.makedirs(BasicConfig.working_dir, exist_ok=True)
+            with open(req_path, "wb") as f:
+                f.write(_fast_dumps_pretty(registry_data))
+            logger.trace(f"注册表请求数据已保存: {req_path}")
+        except Exception as e:
+            logger.warning(f"保存注册表请求数据失败: {e}")
+
+        compressed_body = gzip.compress(json_bytes)
+        headers = {
+            "Authorization": f"Lab {self.auth}",
+            "Content-Type": "application/json",
+            "Content-Encoding": "gzip",
+        }
         response = requests.post(
             f"{self.remote_addr}/lab/resource",
-            json=registry_data,
-            headers={"Authorization": f"Lab {self.auth}"},
+            data=compressed_body,
+            headers=headers,
             timeout=30,
         )
+
+        # 保存响应数据到 unilabos_data
+        res_path = os.path.join(BasicConfig.working_dir, f"res_{tag}_upload.json")
+        try:
+            with open(res_path, "w", encoding="utf-8") as f:
+                f.write(f"{response.status_code}\n{response.text}")
+            logger.trace(f"注册表响应数据已保存: {res_path}")
+        except Exception as e:
+            logger.warning(f"保存注册表响应数据失败: {e}")
+
         if response.status_code not in [200, 201]:
             logger.error(f"注册资源失败: {response.status_code}, {response.text}")
+        if response.status_code == 200:
+            res = response.json()
+            if "code" in res and res["code"] != 0:
+                logger.error(f"注册资源失败: {response.text}")
         return response
 
     def request_startup_json(self) -> Optional[Dict[str, Any]]:
@@ -331,6 +368,106 @@ class HTTPClient:
                 logger.error(f"响应内容: {response.text}")
         return None
 
+    def workflow_import(
+        self,
+        name: str,
+        workflow_uuid: str,
+        workflow_name: str,
+        nodes: List[Dict[str, Any]],
+        edges: List[Dict[str, Any]],
+        tags: Optional[List[str]] = None,
+        published: bool = False,
+        description: str = "",
+    ) -> Dict[str, Any]:
+        """
+        导入工作流到服务器，如果 published 为 True，则额外发起发布请求
+
+        Args:
+            name: 工作流名称（顶层）
+            workflow_uuid: 工作流UUID
+            workflow_name: 工作流名称（data内部）
+            nodes: 工作流节点列表
+            edges: 工作流边列表
+            tags: 工作流标签列表，默认为空列表
+            published: 是否发布工作流，默认为False
+            description: 工作流描述，发布时使用
+
+        Returns:
+            Dict: API响应数据，包含 code 和 data (uuid, name)
+        """
+        payload = {
+            "name": name,
+            "data": {
+                "workflow_uuid": workflow_uuid,
+                "workflow_name": workflow_name,
+                "nodes": nodes,
+                "edges": edges,
+                "tags": tags if tags is not None else [],
+            },
+        }
+        # 保存请求到文件
+        with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
+            f.write(json.dumps(payload, indent=4, ensure_ascii=False))
+
+        response = requests.post(
+            f"{self.remote_addr}/lab/workflow/owner/import",
+            json=payload,
+            headers={"Authorization": f"Lab {self.auth}"},
+            timeout=60,
+        )
+        # 保存响应到文件
+        with open(os.path.join(BasicConfig.working_dir, "res_workflow_upload.json"), "w", encoding="utf-8") as f:
+            f.write(f"{response.status_code}" + "\n" + response.text)
+
+        if response.status_code == 200:
+            res = response.json()
+            if "code" in res and res["code"] != 0:
+                logger.error(f"导入工作流失败: {response.text}")
+                return res
+            # 导入成功后，如果需要发布则额外发起发布请求
+            if published:
+                imported_uuid = res.get("data", {}).get("uuid", workflow_uuid)
+                publish_res = self.workflow_publish(imported_uuid, description)
+                res["publish_result"] = publish_res
+            return res
+        else:
+            logger.error(f"导入工作流失败: {response.status_code}, {response.text}")
+            return {"code": response.status_code, "message": response.text}
+
+    def workflow_publish(self, workflow_uuid: str, description: str = "") -> Dict[str, Any]:
+        """
+        发布工作流
+
+        Args:
+            workflow_uuid: 工作流UUID
+            description: 工作流描述
+
+        Returns:
+            Dict: API响应数据
+        """
+        payload = {
+            "uuid": workflow_uuid,
+            "description": description,
+            "published": True,
+        }
+        logger.info(f"正在发布工作流: {workflow_uuid}")
+        response = requests.patch(
+            f"{self.remote_addr}/lab/workflow/owner",
+            json=payload,
+            headers={"Authorization": f"Lab {self.auth}"},
+            timeout=60,
+        )
+        if response.status_code == 200:
+            res = response.json()
+            if "code" in res and res["code"] != 0:
+                logger.error(f"发布工作流失败: {response.text}")
+            else:
+                logger.info(f"工作流发布成功: {workflow_uuid}")
+            return res
+        else:
+            logger.error(f"发布工作流失败: {response.status_code}, {response.text}")
+            return {"code": response.status_code, "message": response.text}
+
 
 # 创建默认客户端实例
 http_client = HTTPClient()

unilabos/app/web/controler.py

@@ -1,45 +0,0 @@
-
-import json
-import traceback
-import uuid
-from unilabos.app.model import JobAddReq, JobData
-from unilabos.ros.nodes.presets.host_node import HostNode
-from unilabos.utils.type_check import serialize_result_info
-
-
-def get_resources() -> tuple:
-    if HostNode.get_instance() is None:
-        return False, "Host node not initialized"
-
-    return True, HostNode.get_instance().resources_config
-
-def devices() -> tuple:
-    if HostNode.get_instance() is None:
-        return False, "Host node not initialized"
-    
-    return True, HostNode.get_instance().devices_config
-
-def job_info(id: str):
-    get_goal_status = HostNode.get_instance().get_goal_status(id)
-    return JobData(jobId=id, status=get_goal_status)
-
-def job_add(req: JobAddReq) -> JobData:
-    if req.job_id is None:
-        req.job_id = str(uuid.uuid4())
-    action_name = req.data["action"]
-    action_type = req.data.get("action_type", "LocalUnknown")
-    action_args = req.data.get("action_kwargs", None)  # 兼容老版本，后续删除
-    if action_args is None:
-        action_args = req.data.get("action_args")
-    else:
-        if "command" in action_args:
-            action_args = action_args["command"]
-    # print(f"job_add:{req.device_id} {action_name} {action_kwargs}")
-    try:
-        HostNode.get_instance().send_goal(req.device_id, action_type=action_type, action_name=action_name, action_kwargs=action_args, goal_uuid=req.job_id, server_info=req.server_info)
-    except Exception as e:
-        for bridge in HostNode.get_instance().bridges:
-            traceback.print_exc()
-            if hasattr(bridge, "publish_job_status"):
-                bridge.publish_job_status({}, req.job_id, "failed", serialize_result_info(traceback.format_exc(), False, {}))
-    return JobData(jobId=req.job_id)

unilabos/app/web/controller.py

@@ -0,0 +1,588 @@
+"""
+Web API Controller
+
+提供Web API的控制器函数，处理设备、任务和动作相关的业务逻辑
+"""
+
+import threading
+import time
+import traceback
+import uuid
+from dataclasses import dataclass, field
+from typing import Optional, Dict, Any, Tuple
+
+from unilabos.app.model import JobAddReq, JobData
+from unilabos.ros.nodes.presets.host_node import HostNode
+from unilabos.utils import logger
+
+
+@dataclass
+class JobResult:
+    """任务结果数据"""
+
+    job_id: str
+    status: int  # 4:SUCCEEDED, 5:CANCELED, 6:ABORTED
+    result: Dict[str, Any] = field(default_factory=dict)
+    feedback: Dict[str, Any] = field(default_factory=dict)
+    timestamp: float = field(default_factory=time.time)
+
+
+class JobResultStore:
+    """任务结果存储（单例）"""
+
+    _instance: Optional["JobResultStore"] = None
+    _lock = threading.Lock()
+
+    def __init__(self):
+        if not hasattr(self, "_initialized"):
+            self._results: Dict[str, JobResult] = {}
+            self._results_lock = threading.RLock()
+            self._initialized = True
+
+    def __new__(cls):
+        if cls._instance is None:
+            with cls._lock:
+                if cls._instance is None:
+                    cls._instance = super().__new__(cls)
+        return cls._instance
+
+    def store_result(
+        self, job_id: str, status: int, result: Optional[Dict[str, Any]], feedback: Optional[Dict[str, Any]] = None
+    ):
+        """存储任务结果"""
+        with self._results_lock:
+            self._results[job_id] = JobResult(
+                job_id=job_id,
+                status=status,
+                result=result or {},
+                feedback=feedback or {},
+                timestamp=time.time(),
+            )
+            logger.trace(f"[JobResultStore] Stored result for job {job_id[:8]}, status={status}")
+
+    def get_and_remove(self, job_id: str) -> Optional[JobResult]:
+        """获取并删除任务结果"""
+        with self._results_lock:
+            result = self._results.pop(job_id, None)
+            if result:
+                logger.trace(f"[JobResultStore] Retrieved and removed result for job {job_id[:8]}")
+            return result
+
+    def get_result(self, job_id: str) -> Optional[JobResult]:
+        """仅获取任务结果（不删除）"""
+        with self._results_lock:
+            return self._results.get(job_id)
+
+    def cleanup_old_results(self, max_age_seconds: float = 3600):
+        """清理过期的结果"""
+        current_time = time.time()
+        with self._results_lock:
+            expired_jobs = [
+                job_id for job_id, result in self._results.items() if current_time - result.timestamp > max_age_seconds
+            ]
+            for job_id in expired_jobs:
+                del self._results[job_id]
+                logger.debug(f"[JobResultStore] Cleaned up expired result for job {job_id[:8]}")
+
+
+# 全局结果存储实例
+job_result_store = JobResultStore()
+
+
+def store_job_result(
+    job_id: str, status: str, result: Optional[Dict[str, Any]], feedback: Optional[Dict[str, Any]] = None
+):
+    """存储任务结果（供外部调用）
+
+    Args:
+        job_id: 任务ID
+        status: 状态字符串 ("success", "failed", "cancelled")
+        result: 结果数据
+        feedback: 反馈数据
+    """
+    # 转换状态字符串为整数
+    status_map = {
+        "success": 4,  # SUCCEEDED
+        "failed": 6,  # ABORTED
+        "cancelled": 5,  # CANCELED
+        "running": 2,  # EXECUTING
+    }
+    status_int = status_map.get(status, 0)
+
+    # 只存储最终状态
+    if status_int in (4, 5, 6):
+        job_result_store.store_result(job_id, status_int, result, feedback)
+
+
+def get_resources() -> Tuple[bool, Any]:
+    """获取资源配置
+
+    Returns:
+        Tuple[bool, Any]: (是否成功, 资源配置或错误信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, "Host node not initialized"
+
+    return True, host_node.resources_config
+
+
+def devices() -> Tuple[bool, Any]:
+    """获取设备配置
+
+    Returns:
+        Tuple[bool, Any]: (是否成功, 设备配置或错误信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, "Host node not initialized"
+
+    return True, host_node.devices_config
+
+
+def job_info(job_id: str, remove_after_read: bool = True) -> JobData:
+    """获取任务信息
+
+    Args:
+        job_id: 任务ID
+        remove_after_read: 是否在读取后删除结果（默认True）
+
+    Returns:
+        JobData: 任务数据
+    """
+    # 首先检查结果存储中是否有已完成的结果
+    if remove_after_read:
+        stored_result = job_result_store.get_and_remove(job_id)
+    else:
+        stored_result = job_result_store.get_result(job_id)
+
+    if stored_result:
+        # 有存储的结果，直接返回
+        return JobData(
+            jobId=job_id,
+            status=stored_result.status,
+            result=stored_result.result,
+        )
+
+    # 没有存储的结果，从 HostNode 获取当前状态
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return JobData(jobId=job_id, status=0)
+
+    get_goal_status = host_node.get_goal_status(job_id)
+    return JobData(jobId=job_id, status=get_goal_status)
+
+
+def check_device_action_busy(device_id: str, action_name: str) -> Tuple[bool, Optional[str]]:
+    """检查设备动作是否正在执行（被占用）
+
+    Args:
+        device_id: 设备ID
+        action_name: 动作名称
+
+    Returns:
+        Tuple[bool, Optional[str]]: (是否繁忙, 当前执行的job_id或None)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, None
+
+    device_action_key = f"/devices/{device_id}/{action_name}"
+
+    # 检查 _device_action_status 中是否有正在执行的任务
+    if device_action_key in host_node._device_action_status:
+        status = host_node._device_action_status[device_action_key]
+        if status.job_ids:
+            # 返回第一个正在执行的job_id
+            current_job_id = next(iter(status.job_ids.keys()), None)
+            return True, current_job_id
+
+    return False, None
+
+
+def _get_action_type(device_id: str, action_name: str) -> Optional[str]:
+    """从注册表自动获取动作类型
+
+    Args:
+        device_id: 设备ID
+        action_name: 动作名称
+
+    Returns:
+        动作类型字符串，未找到返回None
+    """
+    try:
+        from unilabos.ros.nodes.base_device_node import registered_devices
+
+        # 方法1: 从运行时注册设备获取
+        if device_id in registered_devices:
+            device_info = registered_devices[device_id]
+            base_node = device_info.get("base_node_instance")
+            if base_node and hasattr(base_node, "_action_value_mappings"):
+                action_mappings = base_node._action_value_mappings
+                # 尝试直接匹配或 auto- 前缀匹配
+                for key in [action_name, f"auto-{action_name}"]:
+                    if key in action_mappings:
+                        action_type = action_mappings[key].get("type")
+                        if action_type:
+                            # 转换为字符串格式
+                            if hasattr(action_type, "__module__") and hasattr(action_type, "__name__"):
+                                return f"{action_type.__module__}.{action_type.__name__}"
+                            return str(action_type)
+
+        # 方法2: 从lab_registry获取
+        from unilabos.registry.registry import lab_registry
+
+        host_node = HostNode.get_instance(0)
+        if host_node and lab_registry:
+            devices_config = host_node.devices_config
+            device_class = None
+
+            for tree in devices_config.trees:
+                node = tree.root_node
+                if node.res_content.id == device_id:
+                    device_class = node.res_content.klass
+                    break
+
+            if device_class and device_class in lab_registry.device_type_registry:
+                device_type_info = lab_registry.device_type_registry[device_class]
+                class_info = device_type_info.get("class", {})
+                action_mappings = class_info.get("action_value_mappings", {})
+
+                for key in [action_name, f"auto-{action_name}"]:
+                    if key in action_mappings:
+                        action_type = action_mappings[key].get("type")
+                        if action_type:
+                            if hasattr(action_type, "__module__") and hasattr(action_type, "__name__"):
+                                return f"{action_type.__module__}.{action_type.__name__}"
+                            return str(action_type)
+
+    except Exception as e:
+        logger.warning(f"[Controller] Failed to get action type for {device_id}/{action_name}: {str(e)}")
+
+    return None
+
+
+def job_add(req: JobAddReq) -> JobData:
+    """添加任务（检查设备是否繁忙，繁忙则返回失败）
+
+    Args:
+        req: 任务添加请求
+
+    Returns:
+        JobData: 任务数据（包含状态）
+    """
+    # 服务端自动生成 job_id 和 task_id
+    job_id = str(uuid.uuid4())
+    task_id = str(uuid.uuid4())
+
+    # 服务端自动生成 server_info
+    server_info = {"send_timestamp": time.time()}
+
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        logger.error(f"[Controller] Host node not initialized for job: {job_id[:8]}")
+        return JobData(jobId=job_id, status=6)  # 6 = ABORTED
+
+    # 解析动作信息
+    action_name = req.data.get("action", req.action) if req.data else req.action
+    action_args = req.data.get("action_kwargs") or req.data.get("action_args") if req.data else req.action_args
+
+    if action_args is None:
+        action_args = req.action_args or {}
+    elif isinstance(action_args, dict) and "command" in action_args:
+        action_args = action_args["command"]
+
+    # 自动获取 action_type
+    action_type = _get_action_type(req.device_id, action_name)
+    if action_type is None:
+        logger.error(f"[Controller] Action type not found for {req.device_id}/{action_name}")
+        return JobData(jobId=job_id, status=6)  # ABORTED
+
+    # 检查设备动作是否繁忙
+    is_busy, current_job_id = check_device_action_busy(req.device_id, action_name)
+
+    if is_busy:
+        logger.warning(
+            f"[Controller] Device action busy: {req.device_id}/{action_name}, "
+            f"current job: {current_job_id[:8] if current_job_id else 'unknown'}"
+        )
+        # 返回失败状态，status=6 表示 ABORTED
+        return JobData(jobId=job_id, status=6)
+
+    # 设备空闲，提交任务执行
+    try:
+        from unilabos.app.ws_client import QueueItem
+
+        device_action_key = f"/devices/{req.device_id}/{action_name}"
+        queue_item = QueueItem(
+            task_type="job_call_back_status",
+            device_id=req.device_id,
+            action_name=action_name,
+            task_id=task_id,
+            job_id=job_id,
+            device_action_key=device_action_key,
+        )
+
+        host_node.send_goal(
+            queue_item,
+            action_type=action_type,
+            action_kwargs=action_args,
+            sample_material=req.sample_material,
+            server_info=server_info,
+        )
+
+        logger.info(f"[Controller] Job submitted: {job_id[:8]} -> {req.device_id}/{action_name}")
+        # 返回已接受状态，status=1 表示 ACCEPTED
+        return JobData(jobId=job_id, status=1)
+
+    except ValueError as e:
+        # ActionClient not found 等错误
+        logger.error(f"[Controller] Action not available: {str(e)}")
+        return JobData(jobId=job_id, status=6)  # ABORTED
+
+    except Exception as e:
+        logger.error(f"[Controller] Error submitting job: {str(e)}")
+        traceback.print_exc()
+        return JobData(jobId=job_id, status=6)  # ABORTED
+
+
+def get_online_devices() -> Tuple[bool, Dict[str, Any]]:
+    """获取在线设备列表
+
+    Returns:
+        Tuple[bool, Dict]: (是否成功, 在线设备信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, {"error": "Host node not initialized"}
+
+    try:
+        from unilabos.ros.nodes.base_device_node import registered_devices
+
+        online_devices = {}
+        for device_key in host_node._online_devices:
+            # device_key 格式: "namespace/device_id"
+            parts = device_key.split("/")
+            if len(parts) >= 2:
+                device_id = parts[-1]
+            else:
+                device_id = device_key
+
+            # 获取设备详细信息
+            device_info = registered_devices.get(device_id, {})
+            machine_name = host_node.device_machine_names.get(device_id, "未知")
+
+            online_devices[device_id] = {
+                "device_key": device_key,
+                "namespace": host_node.devices_names.get(device_id, ""),
+                "machine_name": machine_name,
+                "uuid": device_info.get("uuid", "") if device_info else "",
+                "node_name": device_info.get("node_name", "") if device_info else "",
+            }
+
+        return True, {
+            "online_devices": online_devices,
+            "total_count": len(online_devices),
+            "timestamp": time.time(),
+        }
+
+    except Exception as e:
+        logger.error(f"[Controller] Error getting online devices: {str(e)}")
+        traceback.print_exc()
+        return False, {"error": str(e)}
+
+
+def get_device_actions(device_id: str) -> Tuple[bool, Dict[str, Any]]:
+    """获取设备可用的动作列表
+
+    Args:
+        device_id: 设备ID
+
+    Returns:
+        Tuple[bool, Dict]: (是否成功, 动作列表信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, {"error": "Host node not initialized"}
+
+    try:
+        from unilabos.ros.nodes.base_device_node import registered_devices
+        from unilabos.app.web.utils.action_utils import get_action_info
+
+        # 检查设备是否已注册
+        if device_id not in registered_devices:
+            return False, {"error": f"Device not found: {device_id}"}
+
+        device_info = registered_devices[device_id]
+        actions = device_info.get("actions", {})
+
+        actions_list = {}
+        for action_name, action_server in actions.items():
+            try:
+                action_info = get_action_info(action_server, action_name)
+                # 检查动作是否繁忙
+                is_busy, current_job = check_device_action_busy(device_id, action_name)
+                actions_list[action_name] = {
+                    **action_info,
+                    "is_busy": is_busy,
+                    "current_job_id": current_job[:8] if current_job else None,
+                }
+            except Exception as e:
+                logger.warning(f"[Controller] Error getting action info for {action_name}: {str(e)}")
+                actions_list[action_name] = {
+                    "type_name": "unknown",
+                    "action_path": f"/devices/{device_id}/{action_name}",
+                    "is_busy": False,
+                    "error": str(e),
+                }
+
+        return True, {
+            "device_id": device_id,
+            "actions": actions_list,
+            "action_count": len(actions_list),
+        }
+
+    except Exception as e:
+        logger.error(f"[Controller] Error getting device actions: {str(e)}")
+        traceback.print_exc()
+        return False, {"error": str(e)}
+
+
+def get_action_schema(device_id: str, action_name: str) -> Tuple[bool, Dict[str, Any]]:
+    """获取动作的Schema详情
+
+    Args:
+        device_id: 设备ID
+        action_name: 动作名称
+
+    Returns:
+        Tuple[bool, Dict]: (是否成功, Schema信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, {"error": "Host node not initialized"}
+
+    try:
+        from unilabos.registry.registry import lab_registry
+        from unilabos.ros.nodes.base_device_node import registered_devices
+
+        result = {
+            "device_id": device_id,
+            "action_name": action_name,
+            "schema": None,
+            "goal_default": None,
+            "action_type": None,
+            "is_busy": False,
+        }
+
+        # 检查动作是否繁忙
+        is_busy, current_job = check_device_action_busy(device_id, action_name)
+        result["is_busy"] = is_busy
+        result["current_job_id"] = current_job[:8] if current_job else None
+
+        # 方法1: 从 registered_devices 获取运行时信息
+        if device_id in registered_devices:
+            device_info = registered_devices[device_id]
+            base_node = device_info.get("base_node_instance")
+
+            if base_node and hasattr(base_node, "_action_value_mappings"):
+                action_mappings = base_node._action_value_mappings
+                if action_name in action_mappings:
+                    mapping = action_mappings[action_name]
+                    result["schema"] = mapping.get("schema")
+                    result["goal_default"] = mapping.get("goal_default")
+                    result["action_type"] = str(mapping.get("type", ""))
+
+        # 方法2: 从 lab_registry 获取注册表信息（如果运行时没有）
+        if result["schema"] is None and lab_registry:
+            # 尝试查找设备类型
+            devices_config = host_node.devices_config
+            device_class = None
+
+            # 从配置中获取设备类型
+            for tree in devices_config.trees:
+                node = tree.root_node
+                if node.res_content.id == device_id:
+                    device_class = node.res_content.klass
+                    break
+
+            if device_class and device_class in lab_registry.device_type_registry:
+                device_type_info = lab_registry.device_type_registry[device_class]
+                class_info = device_type_info.get("class", {})
+                action_mappings = class_info.get("action_value_mappings", {})
+
+                # 尝试直接匹配或 auto- 前缀匹配
+                for key in [action_name, f"auto-{action_name}"]:
+                    if key in action_mappings:
+                        mapping = action_mappings[key]
+                        result["schema"] = mapping.get("schema")
+                        result["goal_default"] = mapping.get("goal_default")
+                        result["action_type"] = str(mapping.get("type", ""))
+                        result["handles"] = mapping.get("handles", {})
+                        result["placeholder_keys"] = mapping.get("placeholder_keys", {})
+                        break
+
+        if result["schema"] is None:
+            return False, {"error": f"Action schema not found: {device_id}/{action_name}"}
+
+        return True, result
+
+    except Exception as e:
+        logger.error(f"[Controller] Error getting action schema: {str(e)}")
+        traceback.print_exc()
+        return False, {"error": str(e)}
+
+
+def get_all_available_actions() -> Tuple[bool, Dict[str, Any]]:
+    """获取所有设备的可用动作
+
+    Returns:
+        Tuple[bool, Dict]: (是否成功, 所有设备的动作信息)
+    """
+    host_node = HostNode.get_instance(0)
+    if host_node is None:
+        return False, {"error": "Host node not initialized"}
+
+    try:
+        from unilabos.ros.nodes.base_device_node import registered_devices
+        from unilabos.app.web.utils.action_utils import get_action_info
+
+        all_actions = {}
+        total_action_count = 0
+
+        for device_id, device_info in registered_devices.items():
+            actions = device_info.get("actions", {})
+            device_actions = {}
+
+            for action_name, action_server in actions.items():
+                try:
+                    action_info = get_action_info(action_server, action_name)
+                    is_busy, current_job = check_device_action_busy(device_id, action_name)
+                    device_actions[action_name] = {
+                        "type_name": action_info.get("type_name", ""),
+                        "action_path": action_info.get("action_path", ""),
+                        "is_busy": is_busy,
+                        "current_job_id": current_job[:8] if current_job else None,
+                    }
+                    total_action_count += 1
+                except Exception as e:
+                    logger.warning(f"[Controller] Error processing action {device_id}/{action_name}: {str(e)}")
+
+            if device_actions:
+                all_actions[device_id] = {
+                    "actions": device_actions,
+                    "action_count": len(device_actions),
+                    "machine_name": host_node.device_machine_names.get(device_id, "未知"),
+                }
+
+        return True, {
+            "devices": all_actions,
+            "device_count": len(all_actions),
+            "total_action_count": total_action_count,
+            "timestamp": time.time(),
+        }
+
+    except Exception as e:
+        logger.error(f"[Controller] Error getting all available actions: {str(e)}")
+        traceback.print_exc()
+        return False, {"error": str(e)}

unilabos/app/web/server.py

@@ -6,7 +6,6 @@ Web服务器模块
 
 import webbrowser
 
-import uvicorn
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 from starlette.responses import Response
@@ -87,7 +86,7 @@ def setup_server() -> FastAPI:
     # 设置页面路由
     try:
         setup_web_pages(pages)
-        info("[Web] 已加载Web UI模块")
+        # info("[Web] 已加载Web UI模块")
     except ImportError as e:
         info(f"[Web] 未找到Web页面模块: {str(e)}")
     except Exception as e:
@@ -96,7 +95,7 @@ def setup_server() -> FastAPI:
     return app
 
 
-def start_server(host: str = "0.0.0.0", port: int = 8002, open_browser: bool = True) -> None:
+def start_server(host: str = "0.0.0.0", port: int = 8002, open_browser: bool = True) -> bool:
     """
     启动服务器
 
@@ -104,7 +103,14 @@ def start_server(host: str = "0.0.0.0", port: int = 8002, open_browser: bool = T
         host: 服务器主机
         port: 服务器端口
         open_browser: 是否自动打开浏览器
+
+    Returns:
+        bool: True if restart was requested, False otherwise
     """
+    import threading
+    import time
+    from uvicorn import Config, Server
+
     # 设置服务器
     setup_server()
 
@@ -123,7 +129,37 @@ def start_server(host: str = "0.0.0.0", port: int = 8002, open_browser: bool = T
 
     # 启动服务器
     info(f"[Web] 启动FastAPI服务器: {host}:{port}")
-    uvicorn.run(app, host=host, port=port, log_config=log_config)
+
+    # 使用支持重启的模式
+    config = Config(app=app, host=host, port=port, log_config=log_config)
+    server = Server(config)
+
+    # 启动服务器线程
+    server_thread = threading.Thread(target=server.run, daemon=True, name="uvicorn_server")
+    server_thread.start()
+
+    # info("[Web] Server started, monitoring for restart requests...")
+
+    # 监控重启标志
+    import unilabos.app.main as main_module
+
+    while server_thread.is_alive():
+        if hasattr(main_module, "_restart_requested") and main_module._restart_requested:
+            info(
+                f"[Web] Restart requested via WebSocket, reason: {getattr(main_module, '_restart_reason', 'unknown')}"
+            )
+            main_module._restart_requested = False
+
+            # 停止服务器
+            server.should_exit = True
+            server_thread.join(timeout=5)
+
+            info("[Web] Server stopped, ready for restart")
+            return True
+
+        time.sleep(1)
+
+    return False
 
 
 # 当脚本直接运行时启动服务器