更新transfer部分

框选set liquid
跨slot的工作流合并
工作流名称，tag修勾
液体名称使用真实液体名称

.conda/base/recipe.yaml

@@ -0,0 +1,62 @@
+# unilabos: Production package (depends on unilabos-env + pip unilabos)
+# For production deployment
+
+package:
+  name: unilabos
+  version: 0.11.1
+
+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 ==0.11.1
+
+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: 0.11.1
+
+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: 0.11.1
+
+build:
+  noarch: generic
+
+requirements:
+  run:
+  # Base unilabos package (includes unilabos-env)
+  - uni-lab::unilabos ==0.11.1
+  # 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: 0.10.12
-
-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"

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

@@ -0,0 +1,196 @@
+---
+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
+
+### 参数文档 → JSON Schema 元数据
+
+在 `__init__` 和 action 方法 docstring 的 `Args:` 小节里，使用以下格式生成入参 schema 的显示信息：
+
+```python
+"""
+Args:
+    param[显示名称]: 参数说明，会写入 JSON Schema 的 description。
+"""
+```
+
+- `param[显示名称]` 的显示名称会写入 goal property 的 `title`。
+- `:` 后面的说明会写入 goal property 的 `description`。
+- 如果只写 `param: 参数说明`，`title` 会兜底为字段名，`description` 使用参数说明。
+- 如果没有写参数文档，生成器也会兜底补齐 `title=<字段名>` 和 `description=""`，但新设备应优先写清楚显示名和说明。
+
+### @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 action, device, not_action, topic_config
+
+@device(
+    id="my_device",
+    category=["my_category"],
+    description="设备描述",
+    display_name="设备显示名",
+)
+class MyDevice:
+    """设备类说明。"""
+
+    _ros_node: BaseROS2DeviceNode
+
+    def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
+        """
+        初始化设备。
+
+        Args:
+            device_id[设备ID]: 设备实例 ID，默认使用 my_device。
+            config[设备配置]: 设备启动配置。
+        """
+        self.device_id = device_id or "my_device"
+        self.config = config or {}
+        self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
+        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。
+
+        Args:
+            param[操作数值]: 操作使用的数值参数。
+            name[操作名称]: 操作名称或备注。
+        """
+        return {"success": True}
+
+    def get_info(self) -> Dict[str, Any]:
+        """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

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+---
+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 +1,261 @@
+---
+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://leap-lab.test.bohrium.com` |
+| `uat`        | `https://leap-lab.uat.bohrium.com`  |
+| `local`      | `http://127.0.0.1:48197`            |
+| 不传（默认） | `https://leap-lab.bohrium.com`      |
+
+确认后设置：
+
+```bash
+BASE="<根据 addr 确定的 URL>"
+AUTH="Authorization: Lab <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
+```
+
+### 日期格式规则（重要）
+
+所有日期字段（`production_date`、`expiry_date`）**必须**使用 ISO 8601 完整格式：`YYYY-MM-DDTHH:MM:SSZ`。
+
+- 用户输入 `2025-03-01` → 转换为 `"2025-03-01T00:00:00Z"`
+- 用户输入 `2025/9/1` → 转换为 `"2025-09-01T00:00:00Z"`
+- 用户未提供日期 → 使用当天日期 + `T00:00:00Z`，有效期默认 +1 年
+
+**禁止**发送不带时间部分的日期字符串（如 `"2025-03-01"`），API 会拒绝。
+
+### 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                                  |
+| 乙酸                  | 64-19-7   | C2H4O2     | CC(O)=O                              |
+| 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 +1,360 @@
+---
+name: batch-submit-experiment
+description: Batch submit experiments (notebooks) to the Uni-Lab cloud platform (leap-lab) — list workflows, generate node_params from registry schemas, submit multiple rounds, check notebook status. Use when the user wants to submit experiments, create notebooks, batch run workflows, check experiment status, or mentions 提交实验/批量实验/notebook/实验轮次/实验状态.
+---
+
+# Uni-Lab 批量提交实验指南
+
+通过 Uni-Lab 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。
+
+> **重要**：本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**，`Lab` 是 Uni-Lab 的 auth scheme 关键字，**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
+
+## 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（注意：scheme 是 "Lab" 不是 "Basic"）
+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>
+# ⚠️ 这里的 "Lab" 是 Uni-Lab 平台的 auth scheme，绝对不能用 "Basic" 替代
+```
+
+### 2. --addr → BASE URL
+
+| `--addr` 值  | BASE                                |
+| ------------ | ----------------------------------- |
+| `test`       | `https://leap-lab.test.bohrium.com` |
+| `uat`        | `https://leap-lab.uat.bohrium.com`  |
+| `local`      | `http://127.0.0.1:48197`            |
+| 不传（默认） | `https://leap-lab.bohrium.com`      |
+
+确认后设置：
+
+```bash
+BASE="<根据 addr 确定的 URL>"
+# ⚠️ Auth scheme 必须是 "Lab"（Uni-Lab 专用），不是 "Basic"
+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。**
+
+**必须先用 Glob 工具搜索文件**，不要直接猜测路径：
+
+```
+Glob: **/req_device_registry_upload.json
+```
+
+常见位置（仅供参考，以 Glob 实际结果为准）：
+- `<workspace>/unilabos_data/req_device_registry_upload.json`
+- `<workspace>/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 Glob 搜索无结果** → 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 #3 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**）
+- `project_uuid` — 项目 UUID（通过 API #2 列出项目列表，**让用户选择**）
+- `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 #4 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. 列出实验室项目（让用户选择项目）
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
+```
+
+返回：
+
+```json
+{
+  "code": 0,
+  "data": {
+    "items": [
+      {
+        "uuid": "1b3f249a-...",
+        "name": "bt",
+        "description": null,
+        "status": "active",
+        "created_at": "2026-04-09T14:31:28+08:00"
+      },
+      {
+        "uuid": "b6366243-...",
+        "name": "default",
+        "description": "默认项目",
+        "status": "active",
+        "created_at": "2026-03-26T11:13:36+08:00"
+      }
+    ]
+  }
+}
+```
+
+展示 `data.items[]` 中每个项目的 `name` 和 `uuid`，让用户选择。用户**必须**选择一个项目，记住 `project_uuid`（即选中项目的 `uuid`），后续创建 notebook 时需要提供。
+
+### 3. 列出可用 workflow
+
+```bash
+curl -s -X GET "$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`。
+
+### 4. 获取 workflow 模板详情
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
+```
+
+返回 workflow 的完整结构，包含所有 action 节点信息。需要从响应中提取：
+
+- 每个 action 节点的 `node_uuid`
+- 每个节点对应的设备 ID（`resource_template_name`）
+- 每个节点的动作名（`node_template_name`）
+- 每个节点的现有参数（`param`）
+
+> **注意**：此 API 返回格式可能因版本不同而有差异。首次调用时，先打印完整响应分析结构，再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
+
+### 5. 提交实验（创建 notebook）
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/notebook" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '<request_body>'
+```
+
+请求体结构：
+
+```json
+{
+  "lab_uuid": "<lab_uuid>",
+  "project_uuid": "<project_uuid>",
+  "workflow_uuid": "<workflow_uuid>",
+  "name": "<实验名称>",
+  "node_params": [
+    {
+      "sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
+      "datas": [
+        {
+          "node_uuid": "<workflow中的节点UUID>",
+          "param": {},
+          "sample_params": [
+            {
+              "container_uuid": "<容器UUID>",
+              "sample_value": {
+                "liquid_names": "<液体名称>",
+                "volumes": 1000
+              }
+            }
+          ]
+        }
+      ]
+    }
+  ]
+}
+```
+
+> **注意**：`sample_uuids` 必须是 **UUID 数组**（`[]uuid.UUID`），不是字符串。无样品时传空数组 `[]`。
+
+### 6. 查询 notebook 状态
+
+提交成功后，使用返回的 notebook UUID 查询执行状态：
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/notebook/status?uuid=$notebook_uuid" -H "$AUTH"
+```
+
+提交后应**立即查询一次**状态，确认 notebook 已被正确接收并开始调度。
+
+---
+
+## 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 #4 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 #4 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: GET /lab/project/list → 列出项目，让用户选择 → 获取 project_uuid
+- [ ] Step 5: 确认 workflow_uuid（用户提供或从 GET #3 列表选择）
+- [ ] Step 6: GET workflow detail (#4) → 提取各节点 uuid、设备ID、动作名
+- [ ] Step 7: 定位本地注册表 req_device_registry_upload.json
+- [ ] Step 8: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
+- [ ] Step 9: 引导用户填写每轮的参数（sample_uuids、param、sample_params）
+- [ ] Step 10: 构建完整请求体（含 project_uuid）→ POST /lab/notebook 提交
+- [ ] Step 11: 检查返回结果，记录 notebook UUID
+- [ ] Step 12: GET /lab/notebook/status → 查询 notebook 状态，确认已调度
+```
+
+---
+
+## 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 +1,395 @@
+#!/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://leap-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://leap-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",
+        "project_uuid": "$TODO_PROJECT_UUID",
+        "workflow_uuid": "$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 +1,500 @@
+---
+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://leap-lab.test.bohrium.com` |
+| `uat`          | `https://leap-lab.uat.bohrium.com`  |
+| `local`        | `http://127.0.0.1:48197`            |
+| 不传（默认）   | `https://leap-lab.bohrium.com`      |
+| 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>
+```
+
+**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 `$placeholder`）
+- `goal_default` — 默认值
+
+### Step 3 — 写 action-index.md
+
+按模板为每个 action 写条目（**必须包含 `action_type`**）：
+
+```markdown
+### `<action_name>`
+
+<用途描述（一句话）>
+
+- **action_type**: `<从 actions/<name>.json 的 type 字段获取>`
+- **Schema**: [`actions/<filename>.json`](actions/<filename>.json)
+- **核心参数**: `param1`, `param2`（从 schema.required 获取）
+- **可选参数**: `param3`, `param4`
+- **占位符字段**: `field`（需填入物料信息，值以 `$` 开头）
+```
+
+描述规则：
+
+- **每个 action 必须标注 `action_type`**（从 JSON 的 `type` 字段读取），这是 API #9 调用时的必填参数，传错会导致任务永远卡住
+- 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）
+  - `unilabos_formulation` → **FormulationSlot**，填入配方数组 `[{well_name, liquids: [{name, volume}]}]`（well_name 为目标物料的 name）
+- 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，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）
+- **action_type 速查表** — 在 API #9 说明后面紧跟一个表格，列出每个 action 对应的 `action_type` 值（从 JSON `type` 字段提取），方便 agent 快速查找而无需打开 JSON 文件
+
+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
+
+## 请求约定
+
+- Windows 平台必须用 curl.exe（非 PowerShell 的 curl 别名）
+
+## Session State
+
+- lab_uuid（通过 GET /edge/lab/info 直接获取，不要问用户）, device_name
+
+## API Endpoints
+
+# - #1 GET /edge/lab/info → 直接拿到 lab_uuid
+
+# - #2 创建工作流 POST /lab/workflow/owner → 拼 URL 告知用户
+
+# - #3 创建节点 POST /edge/workflow/node
+
+# body: {workflow_uuid, resource_template_name: "<device_id>", node_template_name: "<action_name>"}
+
+# - #4 删除节点 DELETE /lab/workflow/nodes
+
+# - #5 更新节点参数 PATCH /lab/workflow/node
+
+# - #6 查询节点 handles POST /lab/workflow/node-handles
+
+# body: {node_uuids: ["uuid1","uuid2"]} → 返回各节点的 handle_uuid
+
+# - #7 批量创建边 POST /lab/workflow/edges
+
+# body: {edges: [{source_node_uuid, target_node_uuid, source_handle_uuid, target_handle_uuid}]}
+
+# - #8 启动工作流 POST /lab/workflow/{uuid}/run
+
+# - #9 运行设备单动作 POST /lab/mcp/run/action（⚠️ action_type 必须从 action-index.md 或 actions/<name>.json 的 type 字段获取，传错会导致任务永远卡住）
+
+# - #10 查询任务状态 GET /lab/mcp/task/{task_uuid}
+
+# - #11 运行工作流单节点 POST /lab/mcp/run/workflow/action
+
+# - #12 获取资源树 GET /lab/material/download/{lab_uuid}
+
+# - #13 获取工作流模板详情 GET /lab/workflow/template/detail/{workflow_uuid}
+
+# 返回 workflow 完整结构：data.nodes[] 含每个节点的 uuid、name、param、device_name、handles
+
+# - #14 按名称查询物料模板 GET /lab/material/template/by-name?lab_uuid=&name=
+
+# 返回 res_template_uuid，用于 #15 创建物料时的必填字段
+
+# - #15 创建物料节点 POST /edge/material/node
+
+# body: {res_template_uuid(从#14获取), name(自定义), display_name, parent_uuid?(从#12获取), ...}
+
+# - #16 更新物料节点 PUT /edge/material/node
+
+# body: {uuid(从#12获取), display_name?, description?, init_param_data?, data?, ...}
+
+## 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
+- unilabos_formulation → FormulationSlot → [{well_name, liquids: [{name, volume}]}] 配方数组
+- 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 API endpoint（#1 获取 lab_uuid、#2-#7 工作流/节点/边、#8-#11 运行/查询、#12 资源树、#13 工作流模板详情、#14-#16 物料管理）
+- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则（ResourceSlot / DeviceSlot / NodeSlot / ClassSlot / FormulationSlot + 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 创建节点返回的 `data.param` 中的字段，PATCH 更新时直接修改 `param` 即可。
+
+## Placeholder Slot 类型体系
+
+`placeholder_keys` / `_unilabos_placeholder_info` 中有 5 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               |
+| `unilabos_formulation` | FormulationSlot | `[{well_name, liquids: [{name, volume}]}]`            | 资源树中物料节点的 **name**，配合液体配方 |
+
+### 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）：
+
+- 单个：`{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-..."}`
+- 数组：`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
+- `id` 从 parent 计算的路径格式，根据 action 语义选择正确的物料
+
+> **特例**：`create_resource` 的 `res_id`，目标物料可能尚不存在，直接填期望路径，不需要 uuid。
+
+### DeviceSlot / NodeSlot / ClassSlot
+
+- **DeviceSlot**（`unilabos_devices`）：路径字符串如 `"/host_node"`，仅 type=device 的节点
+- **NodeSlot**（`unilabos_nodes`）：路径字符串如 `"/PRCXI/PRCXI_Deck"`，设备 + 物料均可选
+- **ClassSlot**（`unilabos_class`）：类名字符串如 `"container"`，从 `req_resource_registry_upload.json` 查找
+
+### FormulationSlot（`unilabos_formulation`）
+
+描述**液体配方**：向哪些容器中加入哪些液体及体积。
+
+```json
+[
+  {
+    "sample_uuid": "",
+    "well_name": "bottle_A1",
+    "liquids": [{ "name": "LiPF6", "volume": 0.6 }]
+  }
+]
+```
+
+- `well_name` — 目标物料的 **name**（从资源树取，不是 `id` 路径）
+- `liquids[]` — 液体列表，每条含 `name`（试剂名）和 `volume`（体积，单位由上下文决定；pylabrobot 内部统一 uL）
+- `sample_uuid` — 样品 UUID，无样品传 `""`
+- 与 ResourceSlot 的区别：ResourceSlot 指向物料本身，FormulationSlot 引用物料名并附带配方信息
+
+### 通过 API #12 获取资源树
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
+```
+
+注意 `lab_uuid` 在路径中（不是查询参数）。返回结构：
+
+```json
+{
+  "code": 0,
+  "data": {
+    "nodes": [
+      {"name": "host_node", "uuid": "c3ec1e68-...", "type": "device", "parent": ""},
+      {"name": "PRCXI", "uuid": "e249c9a6-...", "type": "device", "parent": ""},
+      {"name": "PRCXI_Deck", "uuid": "fb6a8b71-...", "type": "deck", "parent": "PRCXI"}
+    ],
+    "edges": [...]
+  }
+}
+```
+
+- `data.nodes[]` — 所有节点（设备 + 物料），每个节点含 `name`、`uuid`、`type`、`parent`
+- `type` 区分设备（`device`）和物料（`deck`、`container`、`resource` 等）
+- `parent` 为父节点名称（空字符串表示顶级）
+- 填写 Slot 时根据 placeholder 类型筛选：ResourceSlot 取非 device 节点，DeviceSlot 取 device 节点
+- 创建/更新物料时：`parent_uuid` 取父节点的 `uuid`，更新目标的 `uuid` 取节点自身的 `uuid`
+
+## 物料管理 API
+
+设备 Skill 除了设备动作外，还需支持物料节点的创建和参数设定，用于在资源树中动态管理物料。
+
+典型流程：先通过 **#14 按名称查询模板** 获取 `res_template_uuid` → 再通过 **#15 创建物料** → 之后可通过 **#16 更新物料** 修改属性。更新时需要的 `uuid` 和 `parent_uuid` 均从 **#12 资源树下载** 获取。
+
+### API #14 — 按名称查询物料模板
+
+创建物料前，需要先获取物料模板的 UUID。通过模板名称查询：
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
+```
+
+| 参数       | 必填   | 说明                             |
+| ---------- | ------ | -------------------------------- |
+| `lab_uuid` | **是** | 实验室 UUID（从 API #1 获取）    |
+| `name`     | **是** | 物料模板名称（如 `"container"`） |
+
+返回 `code: 0` 时，**`data.uuid`** 即为 `res_template_uuid`，用于 API #15 创建物料。返回还包含 `name`、`resource_type`、`handles`、`config_infos` 等模板元信息。
+
+模板不存在时返回 `code: 10002`，`data` 为空对象。模板名称来自资源注册表中已注册的资源类型。
+
+### API #15 — 创建物料节点
+
+```bash
+curl -s -X POST "$BASE/api/v1/edge/material/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '<request_body>'
+```
+
+请求体：
+
+```json
+{
+  "res_template_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
+  "name": "my_custom_bottle",
+  "display_name": "自定义瓶子",
+  "parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
+  "type": "",
+  "init_param_data": {},
+  "schema": {},
+  "data": {
+    "liquids": [["water", 1000, "uL"]],
+    "max_volume": 50000
+  },
+  "plate_well_datas": {},
+  "plate_reagent_datas": {},
+  "pose": {},
+  "model": {}
+}
+```
+
+| 字段                  | 必填   | 类型          | 数据来源                            | 说明                                   |
+| --------------------- | ------ | ------------- | ----------------------------------- | -------------------------------------- |
+| `res_template_uuid`   | **是** | string (UUID) | **API #14** 按名称查询获取          | 物料模板 UUID                          |
+| `name`                | 否     | string        | **用户自定义**                      | 节点名称（标识符），可自由命名         |
+| `display_name`        | 否     | string        | 用户自定义                          | 显示名称（UI 展示用）                  |
+| `parent_uuid`         | 否     | string (UUID) | **API #12** 资源树中父节点的 `uuid` | 父节点，为空则创建顶级节点             |
+| `type`                | 否     | string        | 从模板继承                          | 节点类型                               |
+| `init_param_data`     | 否     | object        | 用户指定                            | 初始化参数，覆盖模板默认值             |
+| `data`                | 否     | object        | 用户指定                            | 节点数据，container 见下方 data 格式   |
+| `plate_well_datas`    | 否     | object        | 用户指定                            | 孔板子节点数据（创建带孔位的板时使用） |
+| `plate_reagent_datas` | 否     | object        | 用户指定                            | 试剂关联数据                           |
+| `schema`              | 否     | object        | 从模板继承                          | 自定义 schema，不传则从模板继承        |
+| `pose`                | 否     | object        | 用户指定                            | 位姿信息                               |
+| `model`               | 否     | object        | 用户指定                            | 3D 模型信息                            |
+
+#### container 的 `data` 格式
+
+> **体积单位统一为 uL（微升）**。pylabrobot 体系中所有体积值（`max_volume`、`liquids` 中的 volume）均为 uL。外部如果是 mL 需乘 1000 转换。
+
+```json
+{
+  "liquids": [["water", 1000, "uL"], ["ethanol", 500, "uL"]],
+  "max_volume": 50000
+}
+```
+
+- `liquids` — 液体列表，每条为 `[液体名称, 体积(uL), 单位字符串]`
+- `max_volume` — 容器最大容量（uL），如 50 mL = 50000 uL
+
+### API #16 — 更新物料节点
+
+```bash
+curl -s -X PUT "$BASE/api/v1/edge/material/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '<request_body>'
+```
+
+请求体：
+
+```json
+{
+  "uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
+  "parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
+  "display_name": "新显示名称",
+  "description": "新描述",
+  "init_param_data": {},
+  "data": {},
+  "pose": {},
+  "schema": {},
+  "extra": {}
+}
+```
+
+| 字段              | 必填   | 类型          | 数据来源                              | 说明             |
+| ----------------- | ------ | ------------- | ------------------------------------- | ---------------- |
+| `uuid`            | **是** | string (UUID) | **API #12** 资源树中目标节点的 `uuid` | 要更新的物料节点 |
+| `parent_uuid`     | 否     | string (UUID) | API #12 资源树                        | 移动到新父节点   |
+| `display_name`    | 否     | string        | 用户指定                              | 更新显示名称     |
+| `description`     | 否     | string        | 用户指定                              | 更新描述         |
+| `init_param_data` | 否     | object        | 用户指定                              | 更新初始化参数   |
+| `data`            | 否     | object        | 用户指定                              | 更新节点数据     |
+| `pose`            | 否     | object        | 用户指定                              | 更新位姿         |
+| `schema`          | 否     | object        | 用户指定                              | 更新 schema      |
+| `extra`           | 否     | object        | 用户指定                              | 更新扩展数据     |
+
+> 只传需要更新的字段，未传的字段保持不变。
+
+## 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()

.cursor/skills/submit-agent-result/SKILL.md

@@ -0,0 +1,284 @@
+---
+name: submit-agent-result
+description: Submit historical experiment results (agent_result) to Uni-Lab cloud platform (leap-lab) notebook — read data files, assemble JSON payload, PUT to cloud API. Use when the user wants to submit experiment results, upload agent results, report experiment data, or mentions agent_result/实验结果/历史记录/notebook结果.
+---
+
+# Uni-Lab 提交历史实验记录指南
+
+通过 Uni-Lab 云端 API 向已创建的 notebook 提交实验结果数据（agent_result）。支持从 JSON / CSV 文件读取数据，整合后提交。
+
+> **重要**：本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**，`Lab` 是 Uni-Lab 的 auth scheme 关键字，**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
+
+## 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：
+
+```bash
+# ⚠️ 注意：scheme 是 "Lab"（Uni-Lab 专用），不是 "Basic"
+python -c "import base64,sys; print(base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
+```
+
+输出即为 token 值，拼接为 `Authorization: Lab <token>`（`Lab` 是 Uni-Lab 平台 auth scheme，不可替换为 `Basic`）。
+
+### 2. --addr → BASE URL
+
+| `--addr` 值  | BASE                                |
+| ------------ | ----------------------------------- |
+| `test`       | `https://leap-lab.test.bohrium.com` |
+| `uat`        | `https://leap-lab.uat.bohrium.com`  |
+| `local`      | `http://127.0.0.1:48197`            |
+| 不传（默认） | `https://leap-lab.bohrium.com`      |
+
+确认后设置：
+
+```bash
+BASE="<根据 addr 确定的 URL>"
+# ⚠️ Auth scheme 必须是 "Lab"（Uni-Lab 专用），不是 "Basic"
+AUTH="Authorization: Lab <上面命令输出的 token>"
+```
+
+### 3. notebook_uuid（**必须询问用户**）
+
+**必须主动询问用户**：「请提供要提交结果的 notebook UUID。」
+
+notebook_uuid 来自之前通过「批量提交实验」创建的实验批次，即 `POST /api/v1/lab/notebook` 返回的 `data.uuid`。
+
+如果用户不记得，可提示：
+
+- 查看之前的对话记录中创建 notebook 时返回的 UUID
+- 或通过平台页面查找对应的 notebook
+
+**绝不能跳过此步骤，没有 notebook_uuid 无法提交。**
+
+### 4. 实验结果数据
+
+用户需要提供实验结果数据，支持以下方式：
+
+| 方式      | 说明                                            |
+| --------- | ----------------------------------------------- |
+| JSON 文件 | 直接作为 `agent_result` 的内容合并              |
+| CSV 文件  | 转为 `{"文件名": [行数据...]}` 格式             |
+| 手动指定  | 用户直接告知 key-value 数据，由 agent 构建 JSON |
+
+**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：
+
+- `lab_uuid` — 实验室 UUID（通过 API #1 自动获取，**不需要问用户**）
+- `notebook_uuid` — 目标 notebook UUID（**必须询问用户**）
+
+## 请求约定
+
+所有请求使用 `curl -s`，PUT 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 PowerShell 解析为 splatting 运算符导致报错）。
+
+---
+
+## 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. 提交实验结果（agent_result）
+
+```bash
+curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '<request_body>'
+```
+
+请求体结构：
+
+```json
+{
+    "notebook_uuid": "<notebook_uuid>",
+    "agent_result": {
+        "<key1>": "<value1>",
+        "<key2>": 123,
+        "<nested_key>": {"a": 1, "b": 2},
+        "<array_key>": [{"col1": "v1", "col2": "v2"}, ...]
+    }
+}
+```
+
+> **注意**：HTTP 方法是 **PUT**（不是 POST）。
+
+#### 必要字段
+
+| 字段            | 类型          | 说明                                        |
+| --------------- | ------------- | ------------------------------------------- |
+| `notebook_uuid` | string (UUID) | 目标 notebook 的 UUID，从批量提交实验时获取 |
+| `agent_result`  | object        | 实验结果数据，任意 JSON 对象                |
+
+#### agent_result 内容格式
+
+`agent_result` 接受**任意 JSON 对象**，常见格式：
+
+**简单键值对**：
+
+```json
+{
+  "avg_rtt_ms": 12.5,
+  "status": "success",
+  "test_count": 5
+}
+```
+
+**包含嵌套结构**：
+
+```json
+{
+  "summary": { "total": 100, "passed": 98, "failed": 2 },
+  "measurements": [
+    { "sample_id": "S001", "value": 3.14, "unit": "mg/mL" },
+    { "sample_id": "S002", "value": 2.71, "unit": "mg/mL" }
+  ]
+}
+```
+
+**从 CSV 文件导入**（脚本自动转换）：
+
+```json
+{
+  "experiment_data": [
+    { "温度": 25, "压力": 101.3, "产率": 0.85 },
+    { "温度": 30, "压力": 101.3, "产率": 0.91 }
+  ]
+}
+```
+
+---
+
+## 整合脚本
+
+本文档同级目录下的 `scripts/prepare_agent_result.py` 可自动读取文件并构建请求体。
+
+### 用法
+
+```bash
+python scripts/prepare_agent_result.py \
+    --notebook-uuid <uuid> \
+    --files data1.json data2.csv \
+    [--auth <token>] \
+    [--base <BASE_URL>] \
+    [--submit] \
+    [--output <output.json>]
+```
+
+| 参数              | 必选       | 说明                                            |
+| ----------------- | ---------- | ----------------------------------------------- |
+| `--notebook-uuid` | 是         | 目标 notebook UUID                              |
+| `--files`         | 是         | 输入文件路径（支持多个，JSON / CSV）            |
+| `--auth`          | 提交时必选 | Lab token（base64(ak:sk)）                      |
+| `--base`          | 提交时必选 | API base URL                                    |
+| `--submit`        | 否         | 加上此标志则直接提交到云端                      |
+| `--output`        | 否         | 输出 JSON 路径（默认 `agent_result_body.json`） |
+
+### 文件合并规则
+
+| 文件类型              | 合并方式                                     |
+| --------------------- | -------------------------------------------- |
+| `.json`（dict）       | 字段直接合并到 `agent_result` 顶层           |
+| `.json`（list/other） | 以文件名为 key 放入 `agent_result`           |
+| `.csv`                | 以文件名（不含扩展名）为 key，值为行对象数组 |
+
+多个文件的字段会合并。JSON dict 中的重复 key 后者覆盖前者。
+
+### 示例
+
+```bash
+# 仅生成请求体文件（不提交）
+python scripts/prepare_agent_result.py \
+    --notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
+    --files results.json measurements.csv
+
+# 生成并直接提交
+python scripts/prepare_agent_result.py \
+    --notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
+    --files results.json \
+    --auth YTFmZDlkNGUt... \
+    --base https://leap-lab.test.bohrium.com \
+    --submit
+```
+
+---
+
+## 手动构建方式
+
+如果不使用脚本，也可手动构建请求体：
+
+1. 将实验结果数据组装为 JSON 对象
+2. 写入临时文件：
+
+```json
+{
+    "notebook_uuid": "<uuid>",
+    "agent_result": { ... }
+}
+```
+
+3. 用 curl 提交：
+
+```bash
+curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '@tmp_body.json'
+```
+
+---
+
+## 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: **询问用户** notebook_uuid（必须，不可跳过）
+- [ ] Step 5: 确认实验结果数据来源（文件路径或手动数据）
+- [ ] Step 6: 运行 prepare_agent_result.py 或手动构建请求体
+- [ ] Step 7: PUT /lab/notebook/agent-result 提交
+- [ ] Step 8: 检查返回结果，确认提交成功
+```
+
+---
+
+## 常见问题
+
+### Q: notebook_uuid 从哪里获取？
+
+从之前「批量提交实验」时 `POST /api/v1/lab/notebook` 的返回值 `data.uuid` 获取。也可以在平台 UI 中查找对应的 notebook。
+
+### Q: agent_result 有固定的 schema 吗？
+
+没有严格 schema，接受任意 JSON 对象。但建议包含有意义的字段名和结构化数据，方便后续分析。
+
+### Q: 可以多次提交同一个 notebook 的结果吗？
+
+可以，后续提交会覆盖之前的 agent_result。
+
+### Q: 认证方式是 Lab 还是 Api？
+
+本指南统一使用 `Authorization: Lab <base64(ak:sk)>` 方式（`Lab` 是 Uni-Lab 平台的 auth scheme，**绝不能用 `Basic` 替代**）。如果用户有独立的 API Key，也可用 `Authorization: Api <key>` 替代。

.cursor/skills/submit-agent-result/scripts/prepare_agent_result.py

@@ -0,0 +1,133 @@
+"""
+读取实验结果文件（JSON / CSV），整合为 agent_result 请求体并可选提交。
+
+用法:
+    python prepare_agent_result.py \
+        --notebook-uuid <uuid> \
+        --files data1.json data2.csv \
+        [--auth <Lab token>] \
+        [--base <BASE_URL>] \
+        [--submit] \
+        [--output <output.json>]
+
+支持的输入文件格式:
+    - .json  → 直接作为 dict 合并
+    - .csv   → 转为 {"filename": [row_dict, ...]} 格式
+"""
+
+import argparse
+import base64
+import csv
+import json
+import os
+import sys
+from pathlib import Path
+from typing import Any, Dict, List
+
+
+def read_json_file(filepath: str) -> Dict[str, Any]:
+    with open(filepath, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def read_csv_file(filepath: str) -> List[Dict[str, Any]]:
+    rows = []
+    with open(filepath, "r", encoding="utf-8-sig") as f:
+        reader = csv.DictReader(f)
+        for row in reader:
+            converted = {}
+            for k, v in row.items():
+                try:
+                    converted[k] = int(v)
+                except (ValueError, TypeError):
+                    try:
+                        converted[k] = float(v)
+                    except (ValueError, TypeError):
+                        converted[k] = v
+            rows.append(converted)
+    return rows
+
+
+def merge_files(filepaths: List[str]) -> Dict[str, Any]:
+    """将多个文件合并为一个 agent_result dict"""
+    merged: Dict[str, Any] = {}
+    for fp in filepaths:
+        path = Path(fp)
+        ext = path.suffix.lower()
+        key = path.stem
+
+        if ext == ".json":
+            data = read_json_file(fp)
+            if isinstance(data, dict):
+                merged.update(data)
+            else:
+                merged[key] = data
+        elif ext == ".csv":
+            merged[key] = read_csv_file(fp)
+        else:
+            print(f"[警告] 不支持的文件格式: {fp}，跳过", file=sys.stderr)
+
+    return merged
+
+
+def build_request_body(notebook_uuid: str, agent_result: Dict[str, Any]) -> Dict[str, Any]:
+    return {
+        "notebook_uuid": notebook_uuid,
+        "agent_result": agent_result,
+    }
+
+
+def submit(base: str, auth: str, body: Dict[str, Any]) -> Dict[str, Any]:
+    try:
+        import requests
+    except ImportError:
+        print("[错误] 提交需要 requests 库: pip install requests", file=sys.stderr)
+        sys.exit(1)
+
+    url = f"{base}/api/v1/lab/notebook/agent-result"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Lab {auth}",
+    }
+    resp = requests.put(url, json=body, headers=headers, timeout=30)
+    return {"status_code": resp.status_code, "body": resp.json() if resp.headers.get("content-type", "").startswith("application/json") else resp.text}
+
+
+def main():
+    parser = argparse.ArgumentParser(description="整合实验结果文件并构建 agent_result 请求体")
+    parser.add_argument("--notebook-uuid", required=True, help="目标 notebook UUID")
+    parser.add_argument("--files", nargs="+", required=True, help="输入文件路径（JSON / CSV）")
+    parser.add_argument("--auth", help="Lab token（base64(ak:sk)）")
+    parser.add_argument("--base", help="API base URL")
+    parser.add_argument("--submit", action="store_true", help="直接提交到云端")
+    parser.add_argument("--output", default="agent_result_body.json", help="输出 JSON 文件路径")
+
+    args = parser.parse_args()
+
+    for fp in args.files:
+        if not os.path.exists(fp):
+            print(f"[错误] 文件不存在: {fp}", file=sys.stderr)
+            sys.exit(1)
+
+    agent_result = merge_files(args.files)
+    body = build_request_body(args.notebook_uuid, agent_result)
+
+    with open(args.output, "w", encoding="utf-8") as f:
+        json.dump(body, f, ensure_ascii=False, indent=2)
+    print(f"[完成] 请求体已保存: {args.output}")
+    print(f"  notebook_uuid: {args.notebook_uuid}")
+    print(f"  agent_result 字段数: {len(agent_result)}")
+    print(f"  合并文件数: {len(args.files)}")
+
+    if args.submit:
+        if not args.auth or not args.base:
+            print("[错误] 提交需要 --auth 和 --base 参数", file=sys.stderr)
+            sys.exit(1)
+        print(f"\n[提交] PUT {args.base}/api/v1/lab/notebook/agent-result ...")
+        result = submit(args.base, args.auth, body)
+        print(f"  HTTP {result['status_code']}")
+        print(f"  响应: {json.dumps(result['body'], ensure_ascii=False)}")
+
+
+if __name__ == "__main__":
+    main()

.cursorignore

@@ -0,0 +1,26 @@
+.conda
+# .github
+.idea
+# .vscode
+output
+pylabrobot_repo
+recipes
+scripts
+service
+temp
+# unilabos/test
+# unilabos/app/web
+unilabos/device_mesh
+unilabos_data
+unilabos_msgs
+unilabos.egg-info
+CONTRIBUTORS
+# LICENSE
+MANIFEST.in
+pyrightconfig.json
+# README.md
+# README_zh.md
+setup.py
+setup.cfg
+.gitattrubutes
+**/__pycache__

.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 --override-channels -c robostack-staging -c conda-forge -c uni-lab conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -y
+
+      - name: Install pip dependencies and unilabos
+        run: |
+          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

@@ -1,6 +1,10 @@
 name: Build Conda-Pack Environment
 
 on:
+  # 在 UniLabOS Conda Build 成功上传后自动构建非全量 conda-pack
+  workflow_run:
+    workflows: ["UniLabOS Conda Build"]
+    types: [completed]
   workflow_dispatch:
     inputs:
       branch:
@@ -13,9 +17,24 @@ 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:
+    if: |
+      github.event_name == 'workflow_dispatch' ||
+      (
+        github.event_name == 'workflow_run' &&
+        github.event.workflow_run.conclusion == 'success' &&
+        github.event.workflow_run.event == 'workflow_run'
+      )
+    env:
+      BUILD_FULL: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}
+      PACKAGE_REF: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref_name }}
     strategy:
       fail-fast: false
       matrix:
@@ -24,7 +43,7 @@ jobs:
             platform: linux-64
             env_file: unilabos-linux-64.yaml
             script_ext: sh
-          - os: macos-13 # Intel
+          - os: macos-15 # Intel (via Rosetta)
             platform: osx-64
             env_file: unilabos-osx-64.yaml
             script_ext: sh
@@ -49,7 +68,9 @@ jobs:
         id: should_build
         shell: bash
         run: |
-          if [[ -z "${{ github.event.inputs.platforms }}" ]]; then
+          if [[ "${{ github.event_name }}" != "workflow_dispatch" ]]; then
+            echo "should_build=true" >> $GITHUB_OUTPUT
+          elif [[ -z "${{ github.event.inputs.platforms }}" ]]; then
             echo "should_build=true" >> $GITHUB_OUTPUT
           elif [[ "${{ github.event.inputs.platforms }}" == *"${{ matrix.platform }}"* ]]; then
             echo "should_build=true" >> $GITHUB_OUTPUT
@@ -57,10 +78,10 @@ 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 }}
+          ref: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
       - name: Setup Miniforge (with mamba)
@@ -69,8 +90,8 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: flexible
           activate-environment: unilab
           auto-update-conda: false
@@ -81,7 +102,14 @@ 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: ${{ env.BUILD_FULL }}
+          if "${{ env.BUILD_FULL }}"=="true" (
+            echo Installing unilabos-full ^(complete package^)...
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
+          ) else (
+            echo Installing unilabos ^(minimal package^)...
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
+          )
 
       - name: Install conda-pack, unilabos and dependencies (Unix)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
@@ -89,7 +117,14 @@ 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: ${{ env.BUILD_FULL }}"
+          if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
+            echo "Installing unilabos-full (complete package)..."
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
+          else
+            echo "Installing unilabos (minimal package)..."
+            mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
+          fi
 
       - name: Get latest ros-humble-unilabos-msgs version (Windows)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
@@ -115,27 +150,27 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Checking for available ros-humble-unilabos-msgs versions...
-          mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo Search completed
+          mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo Search completed
           echo.
           echo Updating ros-humble-unilabos-msgs to latest version...
-          mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo Already at latest version
+          mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo Already at latest version
 
       - name: Check for newer ros-humble-unilabos-msgs (Unix)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
         shell: bash
         run: |
           echo "Checking for available ros-humble-unilabos-msgs versions..."
-          mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo "Search completed"
+          mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo "Search completed"
           echo ""
           echo "Updating ros-humble-unilabos-msgs to latest version..."
-          mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo "Already at latest version"
+          mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo "Already at latest version"
 
       - name: Install latest unilabos from source (Windows)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Uninstalling existing unilabos...
           mamba run -n unilab pip uninstall unilabos -y || echo unilabos not installed via pip
-          echo Installing unilabos from source (branch: ${{ github.event.inputs.branch }})...
+          echo Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})...
           mamba run -n unilab pip install .
           echo Verifying installation...
           mamba run -n unilab pip show unilabos
@@ -146,7 +181,7 @@ jobs:
         run: |
           echo "Uninstalling existing unilabos..."
           mamba run -n unilab pip uninstall unilabos -y || echo "unilabos not installed via pip"
-          echo "Installing unilabos from source (branch: ${{ github.event.inputs.branch }})..."
+          echo "Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})..."
           mamba run -n unilab pip install .
           echo "Verifying installation..."
           mamba run -n unilab pip show unilabos
@@ -207,7 +242,9 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
         run: |
           echo Packing unilab environment with conda-pack...
-          mamba activate unilab && conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
+          for /f "delims=" %%i in ('mamba run -n unilab python -c "import os; print(os.environ['CONDA_PREFIX'])"') do set "UNILAB_PREFIX=%%i"
+          echo Packing environment at: %UNILAB_PREFIX%
+          mamba run -n unilab conda-pack -p "%UNILAB_PREFIX%" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
           echo Pack file created:
           dir unilab-env-${{ matrix.platform }}.tar.gz
 
@@ -216,8 +253,9 @@ jobs:
         shell: bash
         run: |
           echo "Packing unilab environment with conda-pack..."
-          mamba install conda-pack -c conda-forge -y
-          conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
+          UNILAB_PREFIX="$(mamba run -n unilab python -c 'import os; print(os.environ["CONDA_PREFIX"])')"
+          echo "Packing environment at: $UNILAB_PREFIX"
+          mamba run -n unilab conda-pack -p "$UNILAB_PREFIX" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
           echo "Pack file created:"
           ls -lh unilab-env-${{ matrix.platform }}.tar.gz
 
@@ -248,7 +286,7 @@ jobs:
 
           rem Create README using Python script
           echo Creating: README.txt
-          python scripts\create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package\README.txt
+          python scripts\create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package\README.txt
 
           echo.
           echo Distribution package contents:
@@ -284,7 +322,7 @@ jobs:
 
           # Create README using Python script
           echo "Creating: README.txt"
-          python scripts/create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package/README.txt
+          python scripts/create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package/README.txt
 
           echo ""
           echo "Distribution package contents:"
@@ -293,9 +331,9 @@ 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 }}
+          name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
           path: dist-package/
           retention-days: 90
           if-no-files-found: error
@@ -307,13 +345,18 @@ jobs:
           echo Build Summary
           echo ==========================================
           echo Platform: ${{ matrix.platform }}
-          echo Branch: ${{ github.event.inputs.branch }}
-          echo Python version: 3.11.11
+          echo Branch: ${{ env.PACKAGE_REF }}
+          echo Python version: 3.11.14
+          if "${{ env.BUILD_FULL }}"=="true" (
+            echo Package: unilabos-full ^(complete^)
+          ) else (
+            echo Package: unilabos ^(minimal^)
+          )
           echo.
           echo Distribution package contents:
           dir dist-package
           echo.
-          echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
+          echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
           echo.
           echo After download, extract the ZIP and run:
           echo   install_unilab.bat
@@ -327,13 +370,18 @@ jobs:
           echo "Build Summary"
           echo "=========================================="
           echo "Platform: ${{ matrix.platform }}"
-          echo "Branch: ${{ github.event.inputs.branch }}"
-          echo "Python version: 3.11.11"
+          echo "Branch: ${{ env.PACKAGE_REF }}"
+          echo "Python version: 3.11.14"
+          if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
+            echo "Package: unilabos-full (complete)"
+          else
+            echo "Package: unilabos (minimal)"
+          fi
           echo ""
           echo "Distribution package contents:"
           ls -lh dist-package/
           echo ""
-          echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}"
+          echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}"
           echo ""
           echo "After download:"
           echo "  install_unilab.sh"

.github/workflows/deploy-docs.yml

@@ -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)
@@ -46,8 +55,8 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: flexible
           activate-environment: unilab
           auto-update-conda: false
@@ -57,7 +66,7 @@ jobs:
         run: |
           echo "Installing unilabos and dependencies to unilab environment..."
           echo "Using mamba for faster and more reliable dependency resolution..."
-          mamba install -n unilab uni-lab::unilabos -c uni-lab -c robostack-staging -c conda-forge -y
+          mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos -y
 
       - name: Install latest unilabos from source
         run: |
@@ -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 +1,19 @@
 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]
+  # GitHub Release 发布时自动构建并上传
+  release:
+    types: [published]
+  # 手动触发
   workflow_dispatch:
     inputs:
       platforms:
@@ -17,9 +25,37 @@ 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 +63,7 @@ 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 +80,10 @@ 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.event.release.tag_name || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -61,22 +99,22 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
         uses: conda-incubator/setup-miniconda@v3
         with:
-          miniconda-version: 'latest'
-          channels: conda-forge,robostack-staging,defaults
+          miniforge-version: latest
+          use-mamba: true
+          channels: conda-forge,robostack-staging
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
@@ -115,7 +153,7 @@ 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
@@ -123,7 +161,13 @@ jobs:
           retention-days: 30
 
       - name: Upload to Anaconda.org (unilab organization)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'release' ||
+            startsWith(github.ref, 'refs/tags/') ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           for package in $(find ./output -name "*.conda"); do
             echo "Uploading $package to unilab organization..."

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

@@ -1,32 +1,65 @@
 name: UniLabOS Conda Build
 
 on:
-  push:
-    branches: [main, dev]
-    tags: ['v*']
-  pull_request:
-    branches: [main, dev]
+  # 在 Multi-Platform Conda Build 成功上传 msgs 后自动触发
+  workflow_run:
+    workflows: ["Multi-Platform Conda Build"]
+    types: [completed]
+  # 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:
+  # 等待上游 msgs 构建完成的 job (仅用于 workflow_run 触发)
+  wait-for-upstream:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_run'
+    outputs:
+      should_continue: ${{ steps.check.outputs.should_continue }}
+    steps:
+      - name: Check upstream workflow status
+        id: check
+        run: |
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" && ( "${{ github.event.workflow_run.event }}" == "release" || "${{ github.event.workflow_run.event }}" == "push" ) ]]; then
+            echo "should_continue=true" >> $GITHUB_OUTPUT
+            echo "Multi-Platform Conda Build passed for release/tag, proceeding with UniLabOS build"
+          else
+            echo "should_continue=false" >> $GITHUB_OUTPUT
+            echo "Upstream workflow is not a successful release/tag build (status: ${{ github.event.workflow_run.conclusion }}, event: ${{ github.event.workflow_run.event }}), skipping build"
+          fi
+
   build:
+    needs: [wait-for-upstream]
+    # 运行条件：workflow_run 触发且上游成功，或者手动触发
+    if: |
+      always() &&
+      (needs.wait-for-upstream.result == 'skipped' || needs.wait-for-upstream.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
         include:
           - os: ubuntu-latest
             platform: linux-64
-          - os: macos-13 # Intel
+          - os: macos-15 # Intel (via Rosetta)
             platform: osx-64
           - os: macos-latest # ARM64
             platform: osx-arm64
@@ -40,8 +73,10 @@ jobs:
         shell: bash -l {0}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
+          # 如果是 workflow_run 触发，使用上游 conda 包构建的 commit
+          ref: ${{ github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -57,22 +92,22 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
         uses: conda-incubator/setup-miniconda@v3
         with:
-          miniconda-version: 'latest'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          miniforge-version: latest
+          use-mamba: true
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
@@ -81,12 +116,73 @@ 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: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}"
+          echo "Building packages:"
+          echo "  - unilabos-env (environment dependencies)"
+          echo "  - unilabos (with pip package)"
+          if [[ "${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}" == "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_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
+        run: |
+          echo "Uploading unilabos-env to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-env*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          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_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
+        run: |
+          echo "Uploading unilabos to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-0*.conda" -o -name "unilabos-[0-9]*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          done
+
+      - name: Build unilabos-full - Only when explicitly requested
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
+          github.event.inputs.build_full == 'true'
+        run: |
+          echo "Building unilabos-full package on ${{ matrix.platform }}..."
+          rattler-build build -r .conda/full/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+
+      - name: Upload unilabos-full to Anaconda.org (if enabled)
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
+          github.event.inputs.build_full == 'true' &&
+          github.event.inputs.upload_to_anaconda == 'true'
+        run: |
+          echo "Uploading unilabos-full to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-full*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          done
 
       - name: List built packages
         if: steps.should_build.outputs.should_build == 'true'
@@ -108,17 +204,9 @@ 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
@@ -249,3 +252,5 @@ ros-humble-unilabos-msgs-0.9.13-h6403a04_5.tar.bz2
 test_config.py
 
 
+/.claude
+/.cursor

AGENTS.md

@@ -0,0 +1,170 @@
+# 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（P6.1 新增 --target_device；P6.1.1 新增 --target_model）
+unilab workflow_upload -f <workflow.json> -n <name> --tags tag1 tag2
+unilab workflow_upload -f <workflow.json> --target_device prcxi                    # P6.1 默认；同上 P6 行为
+unilab workflow_upload -f <workflow.json> --target_device prcxi --target_model 9320  # P6.1.1：型号粒度
+unilab workflow_upload -f <workflow.json> --target_device beckman                  # 未来支持，需在 YAML 中声明 target_devices.beckman
+
+# 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/`.
+
+### Labware Mapping Table (`labware_mapping.yaml`) — P6 + P6.1 + P6.1.1
+
+Opentrons → 目标仪器（PRCXI / Beckman / Tecan ...）的「槽位重映射 + labware 归类 +
+class_name 选择」全部外化到项目根的
+[`labware_mapping.yaml`](./labware_mapping.yaml)（与 `pyproject.toml` 同级，最显眼的位置）。
+要新增 SKU、新厂商、新型号、或调整 tip 量程档时，**只改 YAML，不改 Python**。
+
+- **YAML 两段顶层语义**（P6.1.1 起 `slot_remap` 已下沉到 `target_devices` 内）：
+  - `kinds` — 顺序敏感的 regex；把 labware 字符串归到 `trash / tip_rack / tube_rack / plate`。**全局段**，与目标仪器无关。
+  - `target_devices.<name>` — 按目标仪器组织的规则段，内含三个字段：
+    - `slot_remap` — 替代历史 `_map_deck_slot`（例：`4 → 13`、`8 → 14`、`12+trash → 16`）。
+    - `rules` — 顺序敏感的「`kind + hole_count + volume_min/volume_max` → `class_name`」规则，首个命中胜出。
+    - `models.<model_name>` — 可选的型号粒度覆盖（slot_remap / rules）；缺失字段自动继承厂商级。
+- **`target_devices` 内段名约定**：
+  - `default` — **固定段名**，兜底物料集 + 兜底 `slot_remap`。caller 传入的 `target_device` 在 `target_devices`
+    下未声明时，自动 fallback 到此段（loader 单次 warning，下游消费方零感知)。
+    **第一版按 prcxi 内容拷贝填充**（值仍是 `PRCXI_*`），但与 prcxi 段在 YAML 中
+    各自独立，可独立演进。**`default` 不支持 `models` 子段**——型号粒度差异必须落到具体仪器段。
+  - `prcxi` / `beckman` / `tecan` / ... — 具体仪器段（厂商粒度）；caller 显式
+    `--target_device <name>` 时命中。可在 `models.<model>` 下声明同厂商不同型号的差异。
+- **4 段 fallback 链**（`slot_remap` / `rules` 共用）：
+  1. `target_devices.<device>.models.<model>.<field>`（caller 同时传 device + model）
+  2. `target_devices.<device>.<field>`（厂商级；步骤 1 缺字段时静默 fallback）
+  3. `target_devices.default.<field>`（caller 传未声明 device，或步骤 2 缺字段；打 warning）
+  4. `_BUILTIN_DEFAULT.target_devices.default.<field>`（YAML 误删 default 段时的最后兜底）
+- **CLI 用法**：
+  - P6.1：`unilab workflow_upload -f <workflow.json> --target_device prcxi`
+    （`--target_device` snake-case，默认 `prcxi`；未声明的名字自动 fallback 到 `default` 段）。
+  - P6.1.1：可加 `--target_model <name>`（snake，可省略，默认 `None`）。
+    例：`unilab workflow_upload -f <workflow.json> --target_device prcxi --target_model 9320`。
+- **入口代码**：`unilabos/workflow/labware_mapping.py` 暴露 `remap_slot` / `infer_kind` /
+  `resolve_target_class` / `reload_mapping`。
+  API 签名（P6.1.1）：
+  - `remap_slot(raw_slot, object_type="", *, target_device="prcxi", target_model=None)`
+  - `resolve_target_class(target_device, kind, hole_count=None, volume=None, *, target_model=None)`
+  `workflow/common.py` 中 `_map_deck_slot` / `_infer_reagent_kind` /
+  `_apply_tip_rack_class_from_transfer_volumes` / `_apply_target_labware_class_auto_match` /
+  `_reconcile_slot_carrier_target_class` 都已转调 YAML 并透传 `target_device` / `target_model`；
+  YAML 未命中（孔数 / 体积超出 default 段覆盖范围）时 fallback 到
+  `prcxi_labware.get_prcxi_labware_template_specs` 的模板打分匹配，并打 warning 提示「请补到映射表」。
+- **`labware_info` 字段重命名**：P6 的 `prcxi_class_name` → P6.1 的 `target_class_name`，
+  13 处全部同步刷新；旧 schema（顶层 `vendors` / `slot_remap` 或任一 rule 内 `prcxi_class`）
+  会触发 loader warning 并整段 fallback 到 builtin 默认表。
+- **测试**：
+  - `pytest tests/workflow/test_labware_mapping.py` —— 45 项单元测试（含 P6.1 + P6.1.1 用例：
+    `test_remap_slot_model_level_overrides_device_level`、
+    `test_remap_slot_model_inherits_device_when_field_missing`、
+    `test_legacy_top_level_slot_remap_rejected`、
+    `test_default_section_models_subsection_warns` 等）。
+  - `pytest tests/workflow/test_build_protocol_graph_target_device.py` —— 6 项集成
+    测试（默认 / 显式 prcxi / unknown 段 fallback / per-device tip class / 字段重命名 /
+    P6.1.1 model-level slot_remap）。
+- **设计文档**：[`product_designs/protocol_convert/06-labware-mapping-table.md`](../product_designs/protocol_convert/06-labware-mapping-table.md)
+  （§11.7 = P6.1 多目标仪器选择，§11.8 = P6.1.1 槽位映射按厂商+型号分叉）。
+
+### P2 跨 slot transfer_liquid 合并（v2，已落地）
+
+当一次 phase 中存在「单源吸取 → 跨多个 plate 分发」（典型 `steps/51b9a5.json` 9 plate × 12 well = 108 条 1:1 dispense），Stage 2 + Stage 3 现在能把它折叠成 **1 个 merged set_liquid_from_plate + 1 个 transfer_liquid** 节点。
+
+- **Stage 2**（[`Protocols/protocol_converter/change_to_transfer_group.py`](../Protocols/protocol_converter/change_to_transfer_group.py)）：
+  - `_pair_mergeable` 只要求源 slot / tip 量程档 / use_channels 一致；不再要求 `_target_slot` 相同。
+  - `_merge_two_transfer_actions` 维护 `_target_slots: list[int]`（与 `_target_wells` 平行，每次 dispense 一条）。
+  - `export_transfer_actions` 通过 `_register_target_reagent_key` 统一注册 reagent_key：跨 slot 时按 `_target_slots` 顺序拼出 `action_args.targets: list[str]`（同板退化为 `str`）。
+  - 末尾 `pop` 全部 `_` 前缀字段（包括新增的 `_target_slots`）。
+- **Stage 3**（[`Uni-Lab-OS/unilabos/workflow/common.py`](unilabos/workflow/common.py)）：
+  - 新增 `_emit_merged_set_liquid(...)`：对 `params.targets: list[str]` 的 transfer_liquid 节点，在其上游插入一个 **merged `set_liquid_from_plate`** 跨板聚合器；其 `param.wells` 是按 dispense 顺序通过 cursor 走 `reagent[key].well` 得出的有序跨板 well refs；多入边（每 plate 一条 `create_resource.labware → wells_identifier`），单出边（`output_wells → transfer_liquid.targets_identifier`）。
+  - 把 `params["targets"]` 改写为 synthetic str `_merged_targets_<idx>` 并注册 `resource_last_writer`，保证 INPUT_PORT_MAPPING 走 P3 既有的单边路径。
+  - `OUTPUT_PORT_MAPPING` 在原始 `step.param.targets` 为 `list[str]` 时为每个 reagent_key 分别注册 transfer_liquid 的下游 writer。
+- **PRCXI runtime**（[`prcxi/prcxi.py`](unilabos/devices/liquid_handling/prcxi/prcxi.py)）：`change_slots` 改为遍历所有 source / target 的 parent plate 并按 plate name 去重（跨板 4 个 plate 都能 `update_pipetting_position`）。
+- **`liquid_handler_abstract.transfer_liquid`**：**完全不改动**，主循环 `i % num_targets` 与单边 + 单 list 完全兼容。
+
+CLI 行为不变：现有 `unilab workflow_upload -f <workflow.json> ...` 一切照旧；跨 slot 协议自动走 v2 路径。
+
+测试：
+- `pytest Protocols/protocol_converter/tests/test_cross_slot_merge.py` — Stage 2 单测 10 项。
+- `pytest tests/workflow/test_common_cross_slot_v2.py` — Stage 3 集成测试 6 项。
+- `pytest tests/devices/liquid_handling/test_set_liquid_from_plate_cross_plate.py` — device 跨板单测 6 项（pylabrobot 不全时优雅 skip）。
+
+设计文档：[`product_designs/protocol_convert/02-cross-slot-merge.md`](../product_designs/protocol_convert/02-cross-slot-merge.md)（§9 v2 设计 + §11 落地记录）。
+
+## 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)
-[![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 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

@@ -12,7 +12,7 @@ Uni-Lab 使用 Python 格式的配置文件（`.py`），默认为 `unilabos_dat
 
 **获取方式：**
 
-进入 [Uni-Lab 实验室](https://uni-lab.bohrium.com)，点击左下角的头像，在实验室详情中获取所在实验室的 ak 和 sk：
+进入 [Uni-Lab 实验室](https://leap-lab.bohrium.com)，点击左下角的头像，在实验室详情中获取所在实验室的 ak 和 sk：
 
 ![copy_aksk.gif](image/copy_aksk.gif)
 
@@ -69,7 +69,7 @@ class WSConfig:
 
 # HTTP配置
 class HTTPConfig:
-    remote_addr = "https://uni-lab.bohrium.com/api/v1"  # 远程服务器地址
+    remote_addr = "https://leap-lab.bohrium.com/api/v1"  # 远程服务器地址
 
 # ROS配置
 class ROSConfig:
@@ -209,8 +209,8 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
 
 `--addr` 参数支持以下预设值，会自动转换为对应的完整 URL：
 
-- `test` → `https://uni-lab.test.bohrium.com/api/v1`
-- `uat` → `https://uni-lab.uat.bohrium.com/api/v1`
+- `test` → `https://leap-lab.test.bohrium.com/api/v1`
+- `uat` → `https://leap-lab.uat.bohrium.com/api/v1`
 - `local` → `http://127.0.0.1:48197/api/v1`
 - 其他值 → 直接使用作为完整 URL
 
@@ -248,7 +248,7 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
 
 `ak` 和 `sk` 是必需的认证参数：
 
-1. **获取方式**：在 [Uni-Lab 官网](https://uni-lab.bohrium.com) 注册实验室后获得
+1. **获取方式**：在 [Uni-Lab 官网](https://leap-lab.bohrium.com) 注册实验室后获得
 2. **配置方式**：
    - **命令行参数**：`--ak "your_key" --sk "your_secret"`（最高优先级，推荐）
    - **环境变量**：`UNILABOS_BASICCONFIG_AK` 和 `UNILABOS_BASICCONFIG_SK`
@@ -275,15 +275,15 @@ WebSocket 是 Uni-Lab 的主要通信方式：
 
 HTTP 客户端配置用于与云端服务通信：
 
-| 参数          | 类型 | 默认值                                 | 说明         |
-| ------------- | ---- | -------------------------------------- | ------------ |
-| `remote_addr` | str  | `"https://uni-lab.bohrium.com/api/v1"` | 远程服务地址 |
+| 参数          | 类型 | 默认值                                  | 说明         |
+| ------------- | ---- | --------------------------------------- | ------------ |
+| `remote_addr` | str  | `"https://leap-lab.bohrium.com/api/v1"` | 远程服务地址 |
 
 **预设环境地址**：
 
-- 生产环境：`https://uni-lab.bohrium.com/api/v1`（默认）
-- 测试环境：`https://uni-lab.test.bohrium.com/api/v1`
-- UAT 环境：`https://uni-lab.uat.bohrium.com/api/v1`
+- 生产环境：`https://leap-lab.bohrium.com/api/v1`（默认）
+- 测试环境：`https://leap-lab.test.bohrium.com/api/v1`
+- UAT 环境：`https://leap-lab.uat.bohrium.com/api/v1`
 - 本地环境：`http://127.0.0.1:48197/api/v1`
 
 ### 4. ROSConfig - ROS 配置
@@ -401,7 +401,7 @@ export UNILABOS_WSCONFIG_RECONNECT_INTERVAL="10"
 export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS="500"
 
 # 设置HTTP配置
-export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://uni-lab.test.bohrium.com/api/v1"
+export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://leap-lab.test.bohrium.com/api/v1"
 ```
 
 ## 配置文件使用方法
@@ -484,13 +484,13 @@ export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS=100
 
 ```python
 class HTTPConfig:
-    remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
+    remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
 ```
 
 **环境变量方式：**
 
 ```bash
-export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://uni-lab.test.bohrium.com/api/v1
+export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://leap-lab.test.bohrium.com/api/v1
 ```
 
 **命令行方式（推荐）：**

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

@@ -422,18 +422,20 @@ placeholder_keys:
 
 ### 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`
 
@@ -537,11 +539,13 @@ class AdvancedLiquidHandler:
         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
@@ -809,21 +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
@@ -1039,7 +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
@@ -1051,7 +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
@@ -1063,7 +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
@@ -1076,7 +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(
@@ -1096,13 +1129,13 @@ def method(
     pass
 ```
 
-5. **方法命名规范**
+7. **方法命名规范**
 
-   - 状态方法使用 `@property` 装饰器或 `get_` 前缀
+   - 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

docs/developer_guide/networking_overview.md

@@ -23,7 +23,7 @@ Uni-Lab-OS 支持多种部署模式：
 ```
 ┌──────────────────────────────────────────────┐
 │      Cloud Platform/Self-hosted Platform     │
-│           uni-lab.bohrium.com                │
+│           leap-lab.bohrium.com                │
 │  (Resource Management, Task Scheduling,      │
 │              Monitoring)                     │
 └────────────────────┬─────────────────────────┘
@@ -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
 ```
 
 ---
@@ -444,7 +444,7 @@ ros2 daemon stop && ros2 daemon start
 
 ```bash
 # 测试云端连接
-curl https://uni-lab.bohrium.com/api/v1/health
+curl https://leap-lab.bohrium.com/api/v1/health
 
 # 测试WebSocket
 # 启动Uni-Lab后查看日志

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 +46,31 @@
 # 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
@@ -65,7 +89,7 @@ python -c "from unilabos_msgs.msg import Resource; print('ROS msgs OK')"
 
 #### 2.1 注册实验室账号
 
-1. 访问 [https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
+1. 访问 [https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
 2. 注册账号并登录
 3. 创建新实验室
 
@@ -274,7 +298,7 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
 
 #### 5.2 访问 Web 界面
 
-启动系统后，访问[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
+启动系统后，访问[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
 
 #### 5.3 添加设备和物料
 
@@ -283,12 +307,10 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
 **示例场景：** 创建一个简单的液体转移实验
 
 1. **添加工作站（必需）：**
-
    - 在"仪器设备"中找到 `work_station`
    - 添加 `workstation` x1
 
 2. **添加虚拟转移泵：**
-
    - 在"仪器设备"中找到 `virtual_device`
    - 添加 `virtual_transfer_pump` x1
 
@@ -416,6 +438,9 @@ 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 +451,9 @@ 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 +794,44 @@ 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：
 
@@ -1733,32 +1796,27 @@ unilab --ak your_ak --sk your_sk -g graph.json \
 **详细步骤：**
 
 1. **需求分析**：
-
    - 明确实验流程
    - 列出所需设备和物料
    - 设计工作流程图
 
 2. **环境搭建**：
-
    - 安装 Uni-Lab-OS
    - 创建实验室账号
    - 准备开发工具（IDE、Git）
 
 3. **原型验证**：
-
    - 使用虚拟设备测试流程
    - 验证工作流逻辑
    - 调整参数
 
 4. **迭代开发**：
-
    - 实现自定义设备驱动（同时撰写单点函数测试）
    - 编写注册表
    - 单元测试
    - 集成测试
 
 5. **测试部署**：
-
    - 连接真实硬件
    - 空跑测试
    - 小规模试验
@@ -1807,8 +1865,8 @@ 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)
-- **官方网站**：[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
+- **GitHub Issues**：[https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
+- **官方网站**：[https://leap-lab.bohrium.com](https://leap-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
@@ -626,7 +626,7 @@ unilab
 
 **云端图文件管理**:
 
-1. 登录 https://uni-lab.bohrium.com
+1. 登录 https://leap-lab.bohrium.com
 2. 进入"设备配置"
 3. 创建或编辑配置
 4. 保存到云端
@@ -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
@@ -55,7 +54,6 @@ Uni-Lab 的启动过程分为以下几个阶段：
 您可以直接跟随 unilabos 的提示进行，无需查阅本节
 
 - **工作目录设置**：
-
   - 如果当前目录以 `unilabos_data` 结尾，则使用当前目录
   - 否则使用 `当前目录/unilabos_data` 作为工作目录
   - 可通过 `--working_dir` 指定自定义工作目录
@@ -69,8 +67,8 @@ Uni-Lab 的启动过程分为以下几个阶段：
 
 支持多种后端环境：
 
-- `--addr test`：测试环境 (`https://uni-lab.test.bohrium.com/api/v1`)
-- `--addr uat`：UAT 环境 (`https://uni-lab.uat.bohrium.com/api/v1`)
+- `--addr test`：测试环境 (`https://leap-lab.test.bohrium.com/api/v1`)
+- `--addr uat`：UAT 环境 (`https://leap-lab.uat.bohrium.com/api/v1`)
 - `--addr local`：本地环境 (`http://127.0.0.1:48197/api/v1`)
 - 自定义地址：直接指定完整 URL
 
@@ -85,7 +83,7 @@ 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
 
@@ -177,7 +175,7 @@ unilab --config path/to/your/config.py
 
 如果是首次使用，系统会：
 
-1. 提示前往 https://uni-lab.bohrium.com 注册实验室
+1. 提示前往 https://leap-lab.bohrium.com 注册实验室
 2. 引导创建配置文件
 3. 设置工作目录
 
@@ -196,7 +194,7 @@ 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
@@ -217,7 +215,7 @@ unilab --ak your_ak --sk your_sk --port 8080 --disable_browser
 
 如果提示 "后续运行必须拥有一个实验室"，请确保：
 
-- 已在 https://uni-lab.bohrium.com 注册实验室
+- 已在 https://leap-lab.bohrium.com 注册实验室
 - 正确设置了 `--ak` 和 `--sk` 参数
 - 配置文件中包含正确的认证信息
 

labware_mapping.yaml

@@ -0,0 +1,140 @@
+# Opentrons → 目标仪器 物料映射表（P6.1.1）
+#
+# 两段顶层 key（P6.1.1 起 slot_remap 从顶层下沉到 target_devices 内）：
+#   kinds          : labware 字符串 → kind 归类（与目标仪器无关，**保留全局**）
+#   target_devices : 按目标仪器 + 型号组织；rule = kind + hole_count + volume_min/max → class_name；
+#                    slot_remap 也内嵌在 target_devices 下（按 deck 物理布局变化）
+#
+# target_devices 段内结构：
+#   target_devices.<device>:                    # 厂商段（必填）
+#     slot_remap: {...}                         # 厂商级默认 slot 映射（缺失 → 继承 default 段）
+#     rules:     [...]                          # 厂商级规则（缺失 → 继承 default 段）
+#     models:                                   # 同厂商多型号（可选；缺失 = 仅厂商级，不区分型号）
+#       <model_name>:                           # 型号子段
+#         slot_remap: {...}                     # 型号级覆盖（缺失 → 继承厂商级）
+#         rules:     [...]                      # 型号级覆盖（缺失 → 继承厂商级）
+#
+# 段名约定：
+#   target_devices.default : 兜底物料集 + 兜底 slot_remap。caller 传未声明的 target_device 时使用此段。
+#                            **不支持 models 子段**（型号粒度差异必须落到具体仪器段，否则歧义）。
+#   target_devices.<name>  : 具体仪器段（prcxi / beckman / tecan ...）。
+#
+# 解析链（remap_slot / resolve_target_class 共用，字段级 fallback）：
+#   1. target_devices.<device>.models.<model>.<field>   (caller 同时传 device + model)
+#   2. target_devices.<device>.<field>                  (caller 传 device，或步骤 1 缺字段)
+#   3. target_devices.default.<field>                   (caller 传未声明 device，或步骤 2 缺字段)
+#   4. _BUILTIN_DEFAULT.target_devices.default.<field>  (YAML 误删 default 段时的最后兜底)
+#
+# 编辑建议：
+#   1. 顺序敏感：kinds 与 rules 内首个命中胜出；窄规则在前、宽规则在后。
+#   2. volume_min / volume_max 是闭区间（µL）。任一字段可省略；都省略 = 不限制体积。
+#   3. notes 仅作注释，不参与匹配。
+#   4. 新增目标仪器：复制 target_devices.prcxi 段、改 device 名、改 slot_remap + rules。
+#   5. 同厂商不同型号：在 target_devices.<device>.models.<model> 下显式覆盖差异字段；
+#      没声明的字段自动继承厂商级。
+#   6. P6.1.1 不再支持顶层 slot_remap；检出顶层 slot_remap → warning + fallback 到 builtin。
+#
+# 设计文档：product_designs/protocol_convert/06-labware-mapping-table.md（§11.8）
+
+kinds:
+  # 顺序敏感的 regex；第一个命中胜出
+  # 注意：trash 必须在 tip_rack 之前；tip_rack 必须在 tube_rack 之前（"tuberack" 含 "rack"）
+  - { pattern: "trash",                                                         kind: trash }
+  - { pattern: "tiprack|tip[_ ]?rack|opentrons_\\d+_tiprack",                    kind: tip_rack }
+  - { pattern: "tuberack|tube[_ ]rack|eppendorf.*rack|safelock.*rack",          kind: tube_rack }
+  # 「<labware> 含 'rack' 但不含 'tip'」也归到 tube_rack（与历史 _infer_reagent_kind 行为一致）
+  - { pattern: "(?:^|[^a-z])rack(?:[^a-z]|$)",                                  kind: tube_rack }
+  - { pattern: ".*",                                                            kind: plate }
+
+target_devices:
+  # ─────────────────────────────────────────────────────────────────────────
+  # default：兜底物料集 + 兜底 slot_remap。
+  # caller 传未声明的 target_device 时使用本段；**不支持 models 子段**。
+  # 第一版内容按 prcxi 拷贝填充（值仍是 PRCXI_*），但语义独立，可独立演进。
+  # ─────────────────────────────────────────────────────────────────────────
+  default:
+    notes: "默认兜底物料集；caller 传未声明 target_device 时使用此段。第一版按 prcxi 拷贝填充。"
+    slot_remap:
+      # raw slot → deck slot；与对象类型无关
+      default:
+        "4": "13"
+        "8": "14"
+      # 按 object 字段覆盖 default
+      by_object:
+        trash:
+          "12": "16"
+    rules:
+      # ─ tip rack（默认量程档：≤10 / <300 / 否则 1000） ─
+      - { kind: tip_rack,  hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips }
+      - { kind: tip_rack,  hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips }
+      - { kind: tip_rack,  hole_count: 96,                    class_name: PRCXI_1000uL_Tips }
+      # ─ tube rack ─
+      - { kind: tube_rack, hole_count: 24, class_name: PRCXI_EP_Adapter, notes: "Eppendorf 1.5/2 mL 24 位 4×6" }
+      - { kind: tube_rack, hole_count: 10, class_name: PRCXI_EP_Adapter, notes: "Falcon 4x50 + 6x15 mL（10 位兼容 4×6 适配器）" }
+      # ─ plate ─
+      - { kind: plate,     hole_count: 96,  class_name: PRCXI_BioER_96_wellplate }
+      - { kind: plate,     hole_count: 384, class_name: PRCXI_BioER_384_wellplate }
+      # ─ trash ─
+      - { kind: trash,                       class_name: PRCXI_trash }
+
+  # ─────────────────────────────────────────────────────────────────────────
+  # prcxi：PRCXI 仪器专用段。caller 显式传 --target_device prcxi 时命中此段。
+  # 厂商级 slot_remap + rules 适用于"未声明 model"的调用；
+  # models 子段下声明同厂商不同型号的 deck 物理布局差异。
+  # ─────────────────────────────────────────────────────────────────────────
+  prcxi:
+    slot_remap:
+      # PRCXI 多数型号通用的 deck 物理布局映射
+      default:
+        "4": "13"
+        "8": "14"
+      by_object:
+        trash:
+          "12": "16"
+    rules:
+      # ─ tip rack（PRCXI 量程档：≤10 / <300 / 否则 1000） ─
+      - { kind: tip_rack,  hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips }
+      - { kind: tip_rack,  hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips }
+      - { kind: tip_rack,  hole_count: 96,                    class_name: PRCXI_1000uL_Tips }
+      # ─ tube rack ─
+      - { kind: tube_rack, hole_count: 24, class_name: PRCXI_EP_Adapter, notes: "Eppendorf 1.5/2 mL 24 位 4×6" }
+      - { kind: tube_rack, hole_count: 10, class_name: PRCXI_EP_Adapter, notes: "Falcon 4x50 + 6x15 mL（10 位兼容 4×6 适配器）" }
+      # ─ plate ─
+      - { kind: plate,     hole_count: 96,  class_name: PRCXI_BioER_96_wellplate }
+      - { kind: plate,     hole_count: 384, class_name: PRCXI_BioER_384_wellplate }
+      # ─ trash ─
+      - { kind: trash,                       class_name: PRCXI_trash }
+    models:
+      # PRCXI 9320 —— 与厂商级完全一致（空 dict 仅作为合法 model 名占位）。
+      # caller `--target_model 9320` 时所有字段继承厂商级 prcxi 段。
+      "9320": {}
+      # 演示：假想 PRCXI 4040 把 slot 4 物理位换到 16、trash 槽换到 20。
+      # 仅 slot_remap 不同；rules 与厂商级一致 → 不重复声明（自动继承）。
+      "4040":
+        slot_remap:
+          default:
+            "4": "16"
+            "8": "14"
+          by_object:
+            trash:
+              "12": "20"
+
+  # ─────────────────────────────────────────────────────────────────────────
+  # 演示：未来加新仪器只复制 prcxi 段、改 device 名 + slot_remap + rules。
+  # 特别注意 tip 量程档可与 PRCXI 不同。
+  # ─────────────────────────────────────────────────────────────────────────
+  # beckman:
+  #   slot_remap:
+  #     default: {"4": "13"}
+  #     by_object: {trash: {"12": "16"}}
+  #   rules:
+  #     - { kind: tip_rack,  hole_count: 96, volume_max: 20,    class_name: Beckman_20uL_Tips }
+  #     - { kind: tip_rack,  hole_count: 96, volume_max: 199.9, class_name: Beckman_200uL_Tips }
+  #     - { kind: tip_rack,  hole_count: 96,                    class_name: Beckman_1000uL_Tips }
+  #     - { kind: tube_rack, hole_count: 24, class_name: Beckman_24_TubeRack }
+  #     - { kind: plate,     hole_count: 96, class_name: Beckman_BioMek_96_wellplate }
+  #     - { kind: trash,                      class_name: Beckman_Trash }
+  #   models:
+  #     "i7":
+  #       slot_remap:
+  #         default: {"4": "13", "5": "14"}    # 假想 i7 多一个 slot 重映射

recipes/conda_build_config.yaml

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

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.12
+  version: 0.11.1
 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: "0.10.12"
+  version: "0.11.1"
 
 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='0.10.12',
+    version='0.11.1',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

test/devices/test_prcxi.py

@@ -0,0 +1,539 @@
+import pytest
+import json
+import os
+import asyncio
+import collections
+from typing import List, Dict, Any
+
+from pylabrobot.resources import Coordinate
+from pylabrobot.resources.opentrons.tip_racks import opentrons_96_tiprack_300ul, opentrons_96_tiprack_10ul
+from pylabrobot.resources.opentrons.plates import corning_96_wellplate_360ul_flat, nest_96_wellplate_2ml_deep
+
+from unilabos.devices.liquid_handling.prcxi.prcxi import (
+    PRCXI9300Deck,
+    PRCXI9300Container,
+    PRCXI9300Trash,
+    PRCXI9300Handler,
+    PRCXI9300Backend,
+    DefaultLayout,
+    Material,
+    WorkTablets,
+    MatrixInfo
+)
+
+
+@pytest.fixture
+def prcxi_materials() -> Dict[str, Any]:
+    """加载 PRCXI 物料数据"""
+    print("加载 PRCXI 物料数据...")
+    material_path = os.path.join(os.path.dirname(__file__), "..", "..", "unilabos", "devices", "liquid_handling", "prcxi", "prcxi_material.json")
+    with open(material_path, "r", encoding="utf-8") as f:
+        data = json.load(f)
+    print(f"加载了 {len(data)} 条物料数据")
+    return data
+
+
+@pytest.fixture
+def prcxi_9300_deck() -> PRCXI9300Deck:
+    """创建 PRCXI 9300 工作台"""
+    return PRCXI9300Deck(name="PRCXI_Deck_9300", size_x=100, size_y=100, size_z=100, model="9300")
+
+
+@pytest.fixture
+def prcxi_9320_deck() -> PRCXI9300Deck:
+    """创建 PRCXI 9320 工作台"""
+    return PRCXI9300Deck(name="PRCXI_Deck_9320", size_x=100, size_y=100, size_z=100, model="9320")
+
+
+@pytest.fixture
+def prcxi_9300_handler(prcxi_9300_deck) -> PRCXI9300Handler:
+    """创建 PRCXI 9300 处理器（模拟模式）"""
+    return PRCXI9300Handler(
+        deck=prcxi_9300_deck,
+        host="192.168.1.201",
+        port=9999,
+        timeout=10.0,
+        channel_num=8,
+        axis="Left",
+        setup=False,
+        debug=True,
+        simulator=True,
+        matrix_id="test-matrix-9300"
+    )
+
+
+@pytest.fixture
+def prcxi_9320_handler(prcxi_9320_deck) -> PRCXI9300Handler:
+    """创建 PRCXI 9320 处理器（模拟模式）"""
+    return PRCXI9300Handler(
+        deck=prcxi_9320_deck,
+        host="192.168.1.201",
+        port=9999,
+        timeout=10.0,
+        channel_num=1,
+        axis="Right",
+        setup=False,
+        debug=True,
+        simulator=True,
+        matrix_id="test-matrix-9320",
+        is_9320=True
+    )
+
+
+@pytest.fixture
+def tip_rack_300ul(prcxi_materials) -> PRCXI9300Container:
+    """创建 300μL 枪头盒"""
+    tip_rack = PRCXI9300Container(
+        name="tip_rack_300ul",
+        size_x=50,
+        size_y=50,
+        size_z=10,
+        category="tip_rack",
+        ordering=collections.OrderedDict()
+    )
+    tip_rack.load_state({
+        "Material": {
+            "uuid": prcxi_materials["300μL Tip头"]["uuid"],
+            "Code": "ZX-001-300",
+            "Name": "300μL Tip头"
+        }
+    })
+    return tip_rack
+
+
+@pytest.fixture
+def tip_rack_10ul(prcxi_materials) -> PRCXI9300Container:
+    """创建 10μL 枪头盒"""
+    tip_rack = PRCXI9300Container(
+        name="tip_rack_10ul",
+        size_x=50,
+        size_y=50,
+        size_z=10,
+        category="tip_rack",
+        ordering=collections.OrderedDict()
+    )
+    tip_rack.load_state({
+        "Material": {
+            "uuid": prcxi_materials["10μL加长 Tip头"]["uuid"],
+            "Code": "ZX-001-10+",
+            "Name": "10μL加长 Tip头"
+        }
+    })
+    return tip_rack
+
+
+@pytest.fixture
+def well_plate_96(prcxi_materials) -> PRCXI9300Container:
+    """创建 96 孔板"""
+    plate = PRCXI9300Container(
+        name="well_plate_96",
+        size_x=50,
+        size_y=50,
+        size_z=10,
+        category="plate",
+        ordering=collections.OrderedDict()
+    )
+    plate.load_state({
+        "Material": {
+            "uuid": prcxi_materials["96深孔板"]["uuid"],
+            "Code": "ZX-019-2.2",
+            "Name": "96深孔板"
+        }
+    })
+    return plate
+
+
+@pytest.fixture
+def deep_well_plate(prcxi_materials) -> PRCXI9300Container:
+    """创建深孔板"""
+    plate = PRCXI9300Container(
+        name="deep_well_plate",
+        size_x=50,
+        size_y=50,
+        size_z=10,
+        category="plate",
+        ordering=collections.OrderedDict()
+    )
+    plate.load_state({
+        "Material": {
+            "uuid": prcxi_materials["96深孔板"]["uuid"],
+            "Code": "ZX-019-2.2",
+            "Name": "96深孔板"
+        }
+    })
+    return plate
+
+
+@pytest.fixture
+def trash_container(prcxi_materials) -> PRCXI9300Trash:
+    """创建垃圾桶"""
+    trash = PRCXI9300Trash(name="trash", size_x=50, size_y=50, size_z=10, category="trash")
+    trash.load_state({
+        "Material": {
+            "uuid": prcxi_materials["废弃槽"]["uuid"]
+        }
+    })
+    return trash
+
+
+@pytest.fixture
+def default_layout_9300() -> DefaultLayout:
+    """创建 PRCXI 9300 默认布局"""
+    return DefaultLayout("PRCXI9300")
+
+
+@pytest.fixture
+def default_layout_9320() -> DefaultLayout:
+    """创建 PRCXI 9320 默认布局"""
+    return DefaultLayout("PRCXI9320")
+
+
+class TestPRCXIDeckSetup:
+    """测试 PRCXI 工作台设置功能"""
+
+    def test_prcxi_9300_deck_creation(self, prcxi_9300_deck):
+        """测试 PRCXI 9300 工作台创建"""
+        assert prcxi_9300_deck.name == "PRCXI_Deck_9300"
+        assert len(prcxi_9300_deck.sites) == 6
+        assert prcxi_9300_deck._size_x == 100
+        assert prcxi_9300_deck._size_y == 100
+        assert prcxi_9300_deck._size_z == 100
+
+    def test_prcxi_9320_deck_creation(self, prcxi_9320_deck):
+        """测试 PRCXI 9320 工作台创建"""
+        assert prcxi_9320_deck.name == "PRCXI_Deck_9320"
+        assert len(prcxi_9320_deck.sites) == 16
+        assert prcxi_9320_deck._size_x == 100
+        assert prcxi_9320_deck._size_y == 100
+        assert prcxi_9320_deck._size_z == 100
+
+    def test_container_assignment(self, prcxi_9300_deck, tip_rack_300ul, well_plate_96, trash_container):
+        """测试容器分配到工作台"""
+        # 分配枪头盒
+        prcxi_9300_deck.assign_child_resource(tip_rack_300ul, location=Coordinate(0, 0, 0))
+        assert tip_rack_300ul in prcxi_9300_deck.children
+        
+        # 分配孔板
+        prcxi_9300_deck.assign_child_resource(well_plate_96, location=Coordinate(0, 0, 0))
+        assert well_plate_96 in prcxi_9300_deck.children
+        
+        # 分配垃圾桶
+        prcxi_9300_deck.assign_child_resource(trash_container, location=Coordinate(0, 0, 0))
+        assert trash_container in prcxi_9300_deck.children
+
+    def test_container_material_loading(self, tip_rack_300ul, well_plate_96, prcxi_materials):
+        """测试容器物料信息加载"""
+        # 测试枪头盒物料信息
+        tip_material = tip_rack_300ul._unilabos_state["Material"]
+        assert tip_material["uuid"] == prcxi_materials["300μL Tip头"]["uuid"]
+        assert tip_material["Name"] == "300μL Tip头"
+        
+        # 测试孔板物料信息
+        plate_material = well_plate_96._unilabos_state["Material"]
+        assert plate_material["uuid"] == prcxi_materials["96深孔板"]["uuid"]
+        assert plate_material["Name"] == "96深孔板"
+
+
+class TestPRCXISingleStepOperations:
+    """测试 PRCXI 单步操作功能"""
+
+    @pytest.mark.asyncio
+    async def test_pick_up_tips_single_channel(self, prcxi_9320_handler, prcxi_9320_deck, tip_rack_10ul):
+        """测试单通道拾取枪头"""
+        # 将枪头盒添加到工作台
+        prcxi_9320_deck.assign_child_resource(tip_rack_10ul, location=Coordinate(0, 0, 0))
+        
+        # 初始化处理器
+        await prcxi_9320_handler.setup()
+        
+        # 设置枪头盒
+        prcxi_9320_handler.set_tiprack([tip_rack_10ul])
+        
+        # 创建模拟的枪头位置
+        from pylabrobot.resources import TipSpot, Tip
+        tip = Tip(has_filter=False, total_tip_length=10, maximal_volume=10, fitting_depth=5)
+        tip_spot = TipSpot("A1", size_x=1, size_y=1, size_z=1, make_tip=lambda: tip)
+        tip_rack_10ul.assign_child_resource(tip_spot, location=Coordinate(0, 0, 0))
+        
+        # 直接测试后端方法
+        from pylabrobot.liquid_handling import Pickup
+        pickup = Pickup(resource=tip_spot, offset=None, tip=tip)
+        await prcxi_9320_handler._unilabos_backend.pick_up_tips([pickup], [0])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "Load"
+
+    @pytest.mark.asyncio
+    async def test_pick_up_tips_multi_channel(self, prcxi_9300_handler, tip_rack_300ul):
+        """测试多通道拾取枪头"""
+        # 设置枪头盒
+        prcxi_9300_handler.set_tiprack([tip_rack_300ul])
+        
+        # 拾取8个枪头
+        tip_spots = tip_rack_300ul.children[:8]
+        await prcxi_9300_handler.pick_up_tips(tip_spots, [0, 1, 2, 3, 4, 5, 6, 7])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9300_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9300_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "Load"
+
+    @pytest.mark.asyncio
+    async def test_aspirate_single_channel(self, prcxi_9320_handler, well_plate_96):
+        """测试单通道吸取液体"""
+        # 设置液体
+        well = well_plate_96.get_item("A1")
+        prcxi_9320_handler.set_liquid([well], ["water"], [50])
+        
+        # 吸取液体
+        await prcxi_9320_handler.aspirate([well], [50], [0])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "Imbibing"
+        assert step["DosageNum"] == 50
+
+    @pytest.mark.asyncio
+    async def test_dispense_single_channel(self, prcxi_9320_handler, well_plate_96):
+        """测试单通道分配液体"""
+        # 分配液体
+        well = well_plate_96.get_item("A1")
+        await prcxi_9320_handler.dispense([well], [25], [0])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "Tapping"
+        assert step["DosageNum"] == 25
+
+    @pytest.mark.asyncio
+    async def test_mix_single_channel(self, prcxi_9320_handler, well_plate_96):
+        """测试单通道混合液体"""
+        # 混合液体
+        well = well_plate_96.get_item("A1")
+        await prcxi_9320_handler.mix([well], mix_time=3, mix_vol=50)
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "Blending"
+        assert step["BlendingTimes"] == 3
+        assert step["DosageNum"] == 50
+
+    @pytest.mark.asyncio
+    async def test_drop_tips_to_trash(self, prcxi_9320_handler, trash_container):
+        """测试丢弃枪头到垃圾桶"""
+        # 丢弃枪头
+        await prcxi_9320_handler.drop_tips([trash_container], [0])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "UnLoad"
+
+    @pytest.mark.asyncio
+    async def test_discard_tips(self, prcxi_9320_handler):
+        """测试丢弃枪头"""
+        # 丢弃枪头
+        await prcxi_9320_handler.discard_tips([0])
+        
+        # 验证步骤已添加到待办列表
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
+        step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
+        assert step["Function"] == "UnLoad"
+
+    @pytest.mark.asyncio
+    async def test_liquid_transfer_workflow(self, prcxi_9320_handler, tip_rack_10ul, well_plate_96):
+        """测试完整的液体转移工作流程"""
+        # 设置枪头盒和液体
+        prcxi_9320_handler.set_tiprack([tip_rack_10ul])
+        source_well = well_plate_96.get_item("A1")
+        target_well = well_plate_96.get_item("B1")
+        prcxi_9320_handler.set_liquid([source_well], ["water"], [100])
+        
+        # 创建协议
+        await prcxi_9320_handler.create_protocol(protocol_name="Test Transfer Protocol")
+        
+        # 执行转移流程
+        tip_spot = tip_rack_10ul.get_item("A1")
+        await prcxi_9320_handler.pick_up_tips([tip_spot], [0])
+        await prcxi_9320_handler.aspirate([source_well], [50], [0])
+        await prcxi_9320_handler.dispense([target_well], [50], [0])
+        await prcxi_9320_handler.discard_tips([0])
+        
+        # 验证所有步骤都已添加
+        assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 4
+        functions = [step["Function"] for step in prcxi_9320_handler._unilabos_backend.steps_todo_list]
+        assert functions == ["Load", "Imbibing", "Tapping", "UnLoad"]
+
+
+class TestPRCXILayoutRecommendation:
+    """测试 PRCXI 板位推荐功能"""
+
+    def test_9300_layout_creation(self, default_layout_9300):
+        """测试 PRCXI 9300 布局创建"""
+        layout_info = default_layout_9300.get_layout()
+        assert layout_info["rows"] == 2
+        assert layout_info["columns"] == 3
+        assert len(layout_info["layout"]) == 6
+        assert layout_info["trash_slot"] == 6
+        assert "waste_liquid_slot" not in layout_info
+
+    def test_9320_layout_creation(self, default_layout_9320):
+        """测试 PRCXI 9320 布局创建"""
+        layout_info = default_layout_9320.get_layout()
+        assert layout_info["rows"] == 4
+        assert layout_info["columns"] == 4
+        assert len(layout_info["layout"]) == 16
+        assert layout_info["trash_slot"] == 16
+        assert layout_info["waste_liquid_slot"] == 12
+
+    def test_layout_recommendation_9320(self, default_layout_9320, prcxi_materials):
+        """测试 PRCXI 9320 板位推荐功能"""
+        # 添加物料信息
+        default_layout_9320.add_lab_resource(prcxi_materials)
+        
+        # 推荐布局
+        needs = [
+            ("reagent_1", "96 细胞培养皿", 3),
+            ("reagent_2", "12道储液槽", 1),
+            ("reagent_3", "200μL Tip头", 7),
+            ("reagent_4", "10μL加长 Tip头", 1),
+        ]
+        
+        matrix_layout, layout_list = default_layout_9320.recommend_layout(needs)
+        
+        # 验证返回结果
+        assert "MatrixId" in matrix_layout
+        assert "MatrixName" in matrix_layout
+        assert "MatrixCount" in matrix_layout
+        assert "WorkTablets" in matrix_layout
+        assert len(layout_list) == 12  # 3+1+7+1 = 12个位置
+        
+        # 验证推荐的位置不包含预留位置
+        reserved_positions = {12, 16}
+        recommended_positions = [item["positions"] for item in layout_list]
+        for pos in recommended_positions:
+            assert pos not in reserved_positions
+
+    def test_layout_recommendation_insufficient_space(self, default_layout_9320, prcxi_materials):
+        """测试板位推荐空间不足的情况"""
+        # 添加物料信息
+        default_layout_9320.add_lab_resource(prcxi_materials)
+        
+        # 尝试推荐超过可用空间的布局
+        needs = [
+            ("reagent_1", "96 细胞培养皿", 15),  # 需要15个位置，但只有14个可用
+        ]
+        
+        with pytest.raises(ValueError, match="需要 .* 个位置，但只有 .* 个可用位置"):
+            default_layout_9320.recommend_layout(needs)
+
+    def test_layout_recommendation_material_not_found(self, default_layout_9320, prcxi_materials):
+        """测试板位推荐物料不存在的情况"""
+        # 添加物料信息
+        default_layout_9320.add_lab_resource(prcxi_materials)
+        
+        # 尝试推荐不存在的物料
+        needs = [
+            ("reagent_1", "不存在的物料", 1),
+        ]
+        
+        with pytest.raises(ValueError, match="Material .* not found in lab resources"):
+            default_layout_9320.recommend_layout(needs)
+
+
+class TestPRCXIBackendOperations:
+    """测试 PRCXI 后端操作功能"""
+
+    def test_backend_initialization(self, prcxi_9300_handler):
+        """测试后端初始化"""
+        backend = prcxi_9300_handler._unilabos_backend
+        assert isinstance(backend, PRCXI9300Backend)
+        assert backend._num_channels == 8
+        assert backend.debug is True
+
+    def test_protocol_creation(self, prcxi_9300_handler):
+        """测试协议创建"""
+        backend = prcxi_9300_handler._unilabos_backend
+        backend.create_protocol("Test Protocol")
+        assert backend.protocol_name == "Test Protocol"
+        assert len(backend.steps_todo_list) == 0
+
+    def test_channel_validation(self):
+        """测试通道验证"""
+        # 测试正确的8通道配置
+        valid_channels = [0, 1, 2, 3, 4, 5, 6, 7]
+        result = PRCXI9300Backend.check_channels(valid_channels)
+        assert result == valid_channels
+        
+        # 测试错误的通道配置
+        invalid_channels = [0, 1, 2, 3]
+        result = PRCXI9300Backend.check_channels(invalid_channels)
+        assert result == [0, 1, 2, 3, 4, 5, 6, 7]
+
+    def test_matrix_info_creation(self, prcxi_9300_handler):
+        """测试矩阵信息创建"""
+        backend = prcxi_9300_handler._unilabos_backend
+        backend.create_protocol("Test Protocol")
+        
+        # 模拟运行协议时的矩阵信息创建
+        run_time = 1234567890
+        matrix_info = MatrixInfo(
+            MatrixId=f"{int(run_time)}",
+            MatrixName=f"protocol_{run_time}",
+            MatrixCount=len(backend.tablets_info),
+            WorkTablets=backend.tablets_info,
+        )
+        
+        assert matrix_info["MatrixId"] == str(int(run_time))
+        assert matrix_info["MatrixName"] == f"protocol_{run_time}"
+        assert "WorkTablets" in matrix_info
+
+
+class TestPRCXIContainerOperations:
+    """测试 PRCXI 容器操作功能"""
+
+    def test_container_serialization(self, tip_rack_300ul):
+        """测试容器序列化"""
+        serialized = tip_rack_300ul.serialize_state()
+        assert "Material" in serialized
+        assert serialized["Material"]["Name"] == "300μL Tip头"
+
+    def test_container_deserialization(self, tip_rack_300ul):
+        """测试容器反序列化"""
+        # 序列化
+        serialized = tip_rack_300ul.serialize_state()
+        
+        # 创建新容器并反序列化
+        new_tip_rack = PRCXI9300Container(
+            name="new_tip_rack",
+            size_x=50,
+            size_y=50,
+            size_z=10,
+            category="tip_rack",
+            ordering=collections.OrderedDict()
+        )
+        new_tip_rack.load_state(serialized)
+        
+        assert new_tip_rack._unilabos_state["Material"]["Name"] == "300μL Tip头"
+
+    def test_trash_container_creation(self, prcxi_materials):
+        """测试垃圾桶容器创建"""
+        trash = PRCXI9300Trash(name="trash", size_x=50, size_y=50, size_z=10, category="trash")
+        trash.load_state({
+            "Material": {
+                "uuid": prcxi_materials["废弃槽"]["uuid"]
+            }
+        })
+        
+        assert trash.name == "trash"
+        assert trash._unilabos_state["Material"]["uuid"] == prcxi_materials["废弃槽"]["uuid"]
+
+
+if __name__ == "__main__":
+    # 运行测试
+    pytest.main([__file__, "-v"])

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/devices/__init__.py

@@ -0,0 +1 @@
+

tests/devices/liquid_handling/README.md

@@ -0,0 +1,15 @@
+# Liquid handling 集成测试
+
+`test_transfer_liquid.py` 现在会调用 PRCXI 的 RViz 仿真 backend，运行前请确保：
+
+1. 已安装包含 `pylabrobot`、`rclpy` 的运行环境；
+2. 启动 ROS 依赖（`rviz` 可选，但是 `rviz_backend` 会创建 ROS 节点）；
+3. 在 shell 中设置 `UNILAB_SIM_TEST=1`，否则 pytest 会自动跳过这些慢速用例：
+
+```bash
+export UNILAB_SIM_TEST=1
+pytest tests/devices/liquid_handling/test_transfer_liquid.py -m slow
+```
+
+如果只需验证逻辑层（不依赖仿真），可以直接运行 `tests/devices/liquid_handling/unit_test.py`，该文件使用 Fake backend，适合作为 CI 的快速测试。***
+

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_liquid_history.py

@@ -0,0 +1,244 @@
+"""P9 — ``liquid_history`` schema v3 + helper 单元测试。
+
+测试覆盖：
+    - :func:`append_liquid_history`：写 v3 entry / tracker 缺失 graceful / 滚动上限
+    - :func:`normalize_liquid_history`：v3 dict / v2 tuple / list[str] / 混合 / 非法
+    - :func:`well_current_liquid_name`：tracker.liquids 末项 / get_liquids fallback / 缺失
+
+注：``LiquidHandlerAbstract.set_liquid`` 写 history 的集成（"set" action）覆盖
+逻辑相同（直接调用 :func:`append_liquid_history`），由本测试间接验证；端到端走 PLR
+真实 ``Well.set_liquids`` 的集成测试在 ``tests/devices/liquid_handling/unit_test.py``
+范围内随 PLR 环境就绪后增补，本 P9 提交保持解耦。
+
+详见 ``product_designs/protocol_convert/09-liquid-history-unknown-debug.md`` §8。
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, List, Tuple
+
+import pytest
+
+# liquid_history 模块**不依赖** pylabrobot，可在 PLR 环境缺失时独立 import / 单测。
+from unilabos.devices.liquid_handling.liquid_history import (
+    LIQUID_HISTORY_MAX_ENTRIES,
+    LiquidHistoryEntry,
+    append_liquid_history,
+    normalize_liquid_history,
+    well_current_liquid_name,
+)
+
+
+# ---------------------------------------------------------------------------
+# Fixtures：DummyTracker / DummyWell（避免引入真实 PLR Well/VolumeTracker 依赖）
+# ---------------------------------------------------------------------------
+
+
+@dataclass
+class DummyTracker:
+    """模拟 PLR VolumeTracker：仅暴露 P9 hook 关心的字段。"""
+
+    liquid_history: List[Any] = field(default_factory=list)
+    liquids: List[Tuple[Any, float]] = field(default_factory=list)
+    max_volume: float = 200.0
+    is_disabled: bool = False
+
+
+@dataclass
+class DummyWell:
+    """模拟 PLR Well：仅暴露 ``tracker``。"""
+
+    name: str = "well_A1"
+    max_volume: float = 200.0
+    tracker: DummyTracker = field(default_factory=DummyTracker)
+
+
+# ---------------------------------------------------------------------------
+# append_liquid_history
+# ---------------------------------------------------------------------------
+
+
+class TestAppendLiquidHistory:
+    def test_append_creates_v3_entry(self) -> None:
+        well = DummyWell()
+        append_liquid_history(well, "Plasma", 100.0, "set")
+
+        assert len(well.tracker.liquid_history) == 1
+        entry = well.tracker.liquid_history[0]
+        assert entry["name"] == "Plasma"
+        assert entry["volume"] == 100.0
+        assert entry["action"] == "set"
+        assert "timestamp" in entry and isinstance(entry["timestamp"], str)
+
+    def test_append_aspirate_negative_volume(self) -> None:
+        well = DummyWell()
+        append_liquid_history(well, "Water", -50.0, "aspirate")
+
+        assert well.tracker.liquid_history[0]["volume"] == -50.0
+        assert well.tracker.liquid_history[0]["action"] == "aspirate"
+
+    def test_append_with_empty_name_keeps_empty_string(self) -> None:
+        """name 为空时应写入 ``""`` 而非字面 "unknown"（避免视觉混淆 bottom_type）。"""
+        well = DummyWell()
+        append_liquid_history(well, "", 50.0, "dispense")
+
+        assert well.tracker.liquid_history[0]["name"] == ""
+
+    def test_append_with_none_name_normalized_to_empty_string(self) -> None:
+        well = DummyWell()
+        append_liquid_history(well, None, 50.0, "dispense")  # type: ignore[arg-type]
+
+        assert well.tracker.liquid_history[0]["name"] == ""
+
+    def test_append_initializes_history_if_missing(self) -> None:
+        """tracker 没有 liquid_history 属性时 helper 自动创建空 list 并写入。"""
+        well = DummyWell()
+        del well.tracker.liquid_history  # 模拟全新 PLR tracker
+        append_liquid_history(well, "X", 10.0, "set")
+
+        assert hasattr(well.tracker, "liquid_history")
+        assert len(well.tracker.liquid_history) == 1
+
+    def test_append_no_tracker_is_graceful(self) -> None:
+        """well 无 tracker 时静默不抛（保护主流程）。"""
+
+        class NoTrackerWell:
+            name = "no_tracker"
+
+        well = NoTrackerWell()
+        append_liquid_history(well, "X", 10.0, "set")  # 不应抛
+        assert not hasattr(well, "tracker")
+
+    def test_append_action_defaults_to_legacy_when_empty(self) -> None:
+        well = DummyWell()
+        append_liquid_history(well, "X", 1.0, "")
+
+        assert well.tracker.liquid_history[0]["action"] == "legacy"
+
+    def test_append_respects_max_entries_rolling(self) -> None:
+        """超过 ``LIQUID_HISTORY_MAX_ENTRIES`` 时丢弃头部，保留最近 entries。"""
+        well = DummyWell()
+        well.tracker.liquid_history = [
+            {"name": f"old_{i}"} for i in range(LIQUID_HISTORY_MAX_ENTRIES + 5)
+        ]
+        append_liquid_history(well, "newest", 1.0, "set")
+
+        assert len(well.tracker.liquid_history) == LIQUID_HISTORY_MAX_ENTRIES
+        assert well.tracker.liquid_history[-1]["name"] == "newest"
+        assert well.tracker.liquid_history[0]["name"] != "old_0"
+
+
+# ---------------------------------------------------------------------------
+# normalize_liquid_history
+# ---------------------------------------------------------------------------
+
+
+class TestNormalizeLiquidHistory:
+    def test_v3_dict_passthrough_with_field_defaults(self) -> None:
+        raw = [{"name": "A", "volume": 100, "action": "set", "timestamp": "2026-05-22T00:00:00Z"}]
+        result = normalize_liquid_history(raw)
+
+        assert result == [{
+            "name": "A",
+            "volume": 100.0,
+            "action": "set",
+            "timestamp": "2026-05-22T00:00:00Z",
+        }]
+
+    def test_v3_dict_missing_optional_fields_filled_with_defaults(self) -> None:
+        raw = [{"name": "A"}]
+        result = normalize_liquid_history(raw)
+
+        assert result == [{"name": "A", "volume": 0.0, "action": "legacy"}]
+        assert "timestamp" not in result[0]
+
+    def test_v2_tuple_upgraded_to_v3_legacy(self) -> None:
+        raw = [("A", 100), ("B", 50.5)]
+        result = normalize_liquid_history(raw)
+
+        assert result == [
+            {"name": "A", "volume": 100.0, "action": "legacy"},
+            {"name": "B", "volume": 50.5, "action": "legacy"},
+        ]
+
+    def test_list_of_strings_upgraded(self) -> None:
+        raw = ["A", "B"]
+        result = normalize_liquid_history(raw)
+
+        assert result == [
+            {"name": "A", "volume": 0.0, "action": "legacy"},
+            {"name": "B", "volume": 0.0, "action": "legacy"},
+        ]
+
+    def test_mixed_input_normalized(self) -> None:
+        raw = [
+            {"name": "A", "volume": 1, "action": "set"},
+            ("B", 2),
+            "C",
+        ]
+        result = normalize_liquid_history(raw)
+
+        assert [e["name"] for e in result] == ["A", "B", "C"]
+        assert [e["action"] for e in result] == ["set", "legacy", "legacy"]
+
+    def test_invalid_entries_dropped(self) -> None:
+        raw = [42, None, {"name": "A"}, ("only_one",)]
+        result = normalize_liquid_history(raw)
+
+        # 只保留 {"name": "A"} 这一条；其它都被丢弃
+        assert len(result) == 1
+        assert result[0]["name"] == "A"
+        assert result[0]["volume"] == 0.0  # 缺省补 0
+
+    def test_non_list_input_returns_empty(self) -> None:
+        assert normalize_liquid_history(None) == []
+        assert normalize_liquid_history("not_a_list") == []
+        assert normalize_liquid_history({"name": "X"}) == []
+
+    def test_tuple_with_unconvertible_volume_falls_back_to_zero(self) -> None:
+        raw = [("A", "not_a_number")]
+        result = normalize_liquid_history(raw)
+
+        assert result[0]["volume"] == 0.0
+
+
+# ---------------------------------------------------------------------------
+# well_current_liquid_name
+# ---------------------------------------------------------------------------
+
+
+class TestWellCurrentLiquidName:
+    def test_returns_last_liquid_name_from_tuple(self) -> None:
+        well = DummyWell()
+        well.tracker.liquids = [("Water", 50.0), ("Plasma", 100.0)]
+        assert well_current_liquid_name(well) == "Plasma"
+
+    def test_returns_enum_like_name_attr(self) -> None:
+        class FakeLiquid:
+            name = "ETHANOL"
+
+        well = DummyWell()
+        well.tracker.liquids = [(FakeLiquid(), 100.0)]
+        assert well_current_liquid_name(well) == "ETHANOL"
+
+    def test_empty_liquids_returns_empty_string(self) -> None:
+        well = DummyWell()
+        well.tracker.liquids = []
+        assert well_current_liquid_name(well) == ""
+
+    def test_no_tracker_returns_empty_string(self) -> None:
+        class NoTrackerWell:
+            name = "x"
+
+        assert well_current_liquid_name(NoTrackerWell()) == ""
+
+    def test_none_liquid_returns_empty_string(self) -> None:
+        well = DummyWell()
+        well.tracker.liquids = [(None, 100.0)]
+        assert well_current_liquid_name(well) == ""
+
+    def test_string_liquid_returned_as_is(self) -> None:
+        well = DummyWell()
+        well.tracker.liquids = ["Saline"]
+        assert well_current_liquid_name(well) == "Saline"

tests/devices/liquid_handling/test_set_liquid_from_plate_cross_plate.py

@@ -0,0 +1,239 @@
+"""P2 v2 跨板能力验证 —— device 层 ``set_liquid_from_plate`` 单测。
+
+对应 ``product_designs/protocol_convert/02-cross-slot-merge.md`` §9.1 / §9.5 step 6.3。
+
+本测试聚焦于 **`_set_liquid_grouped_by_plate`** 已天然支持跨板 wells 的能力（v2 设计
+的核心依据）：
+
+- 输入 ``wells`` 列表来自多个 plate（每板各一/多个 well）时，``set_liquid`` 应按 plate
+  分桶串行调用，每板一次（plate-bucket 顺序按 first-occurrence）。
+- 同板内多孔归到同一桶。
+- 返回 ``volumes`` 按 **输入 index 顺序**回拼，与 wells 一致 —— 这是 v2 Stage 3
+  merged ``set_liquid_from_plate.output_wells`` 的顺序权威来源。
+- ``Well.set_liquids`` 在 ``set_liquid`` 链内被逐孔调用，与 PLR 实现的预期接口一致。
+
+为了避免引入完整 PLR 资源树，测试用 duck-typed ``DummyWell`` / ``DummyPlate`` +
+``ResourceTreeSet`` 的 monkeypatch（dump 直接返回输入列表）。
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import List, Tuple
+
+import pytest
+
+
+# ----------------------------------------------------------------------
+# 跨环境兼容：与现有 ``tests/devices/liquid_handling/test_transfer_liquid.py`` 一致，
+# 本测试通过 import ``unilabos.devices.liquid_handling.liquid_handler_abstract``
+# 拉起 pylabrobot 链；某些本地开发机的 pylabrobot 版本与代码库要求不一致，
+# 会在 import 阶段抛 ``ImportError``。这里用 ``importorskip`` 优雅跳过，让
+# CI（统一 pylabrobot 版本）跑全；纯逻辑测试（Stage 2 / Stage 3）不受影响。
+# ----------------------------------------------------------------------
+LiquidHandlerAbstract = pytest.importorskip(
+    "unilabos.devices.liquid_handling.liquid_handler_abstract",
+    reason="pylabrobot 链未完整可用，跳过 device 单测；CI 上请保证 pylabrobot ≥ 项目要求版本",
+    exc_type=ImportError,
+).LiquidHandlerAbstract
+
+
+# ==================== Duck-typed PLR-like 资源 ====================
+
+
+@dataclass
+class DummyPlate:
+    name: str
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"DummyPlate({self.name})"
+
+
+@dataclass
+class DummyWell:
+    name: str
+    parent: DummyPlate
+    max_volume: float = 1000.0
+    liquid_history: List[Tuple[str, float]] = field(default_factory=list)
+
+    def set_liquids(self, items):
+        """模拟 PLR ``Well.set_liquids([(name, vol), ...])`` 接口。"""
+        for name, vol in items:
+            self.liquid_history.append((str(name), float(vol)))
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"DummyWell({self.parent.name}/{self.name})"
+
+
+# ==================== fixture：装一台 FakeLiquidHandler ====================
+
+
+@pytest.fixture
+def patched_resource_tree(monkeypatch):
+    """patch ``ResourceTreeSet.from_plr_resources`` 使其接受 duck-typed wells/plates。
+
+    返回的对象只要带 ``.dump()`` 即可（``_set_liquid_grouped_by_plate`` 仅消费该方法）。
+    """
+    from unilabos.devices.liquid_handling import liquid_handler_abstract as lha
+
+    class _FakeTree:
+        def __init__(self, items):
+            self._items = items
+
+        def dump(self):
+            return [
+                {"name": getattr(x, "name", None), "type": type(x).__name__}
+                for x in self._items
+            ]
+
+    def _fake_from_plr_resources(items, known_newly_created=False):  # noqa: ARG001
+        return _FakeTree(list(items))
+
+    monkeypatch.setattr(
+        lha.ResourceTreeSet,
+        "from_plr_resources",
+        staticmethod(_fake_from_plr_resources),
+    )
+    return lha
+
+
+@pytest.fixture
+def handler(patched_resource_tree):
+    """构造一台最小 LiquidHandlerAbstract 实例，绕过真实 backend / deck。"""
+
+    class _FakeHandler(LiquidHandlerAbstract):
+        def __init__(self):
+            # 不调用 super().__init__，避免真实硬件/后端依赖
+            self.channel_num = 8
+            self.support_touch_tip = True
+
+    return _FakeHandler()
+
+
+def _wells_grid(plate_name: str, well_names: List[str]) -> List[DummyWell]:
+    plate = DummyPlate(name=plate_name)
+    return [DummyWell(name=w, parent=plate) for w in well_names]
+
+
+# ==================== 用例 ====================
+
+
+def test_grouped_by_plate_single_plate_set_liquid_inline(handler):
+    """单 plate 多孔：set_liquids 按 wells 顺序逐项调用，volumes 回拼一致。"""
+    wells = _wells_grid("plate_slot2", ["A1", "A2", "A3"])
+    ret = handler._set_liquid_grouped_by_plate(
+        wells=wells,
+        liquid_names=["reagent_X"] * 3,
+        volumes=[10.0, 20.0, 30.0],
+    )
+
+    # 每个 well 的 liquid_history 各 1 条
+    for w, expected_vol in zip(wells, [10.0, 20.0, 30.0]):
+        assert w.liquid_history == [("reagent_X", expected_vol)]
+
+    # 返回 volumes 顺序与输入一致
+    assert ret.volumes == [10.0, 20.0, 30.0]
+
+
+def test_grouped_by_plate_cross_plate_buckets_by_parent(handler):
+    """跨板 wells 列表 → 按 first-occurrence plate 顺序分桶，每板单独 set_liquid。
+
+    51b9a5 简化（每板 1 孔）：4 plate × 1 well = 4 set_liquids 调用。
+    """
+    p2 = _wells_grid("plate_slot2", ["A1"])
+    p3 = _wells_grid("plate_slot3", ["A1"])
+    p5 = _wells_grid("plate_slot5", ["A1"])
+    p6 = _wells_grid("plate_slot6", ["A1"])
+    wells = p2 + p3 + p5 + p6
+
+    ret = handler._set_liquid_grouped_by_plate(
+        wells=wells,
+        liquid_names=["l1"] * 4,
+        volumes=[8.3] * 4,
+    )
+
+    # 每个 well 都被 set_liquids 设过
+    for w in wells:
+        assert w.liquid_history == [("l1", 8.3)], f"well {w.parent.name}/{w.name} 未正确设液"
+
+    # volumes 顺序与输入对齐
+    assert ret.volumes == [8.3, 8.3, 8.3, 8.3]
+
+    # plate dump 应含 4 个 plate（按 first-occurrence）
+    plate_dump = ret.plate
+    plate_names = [p["name"] for p in plate_dump]
+    assert plate_names == ["plate_slot2", "plate_slot3", "plate_slot5", "plate_slot6"]
+
+
+def test_grouped_by_plate_interleaved_cross_plate_preserves_input_order(handler):
+    """交错跨板：wells=[p2.A1, p3.A1, p2.A2, p5.A1] → volumes 顺序按输入回拼。
+
+    内部仍按 plate 分桶执行 set_liquid（per-plate 串行），但返回顺序遵循输入 index。
+    """
+    p2 = DummyPlate(name="plate_slot2")
+    p3 = DummyPlate(name="plate_slot3")
+    p5 = DummyPlate(name="plate_slot5")
+    w_p2_a1 = DummyWell(name="A1", parent=p2)
+    w_p2_a2 = DummyWell(name="A2", parent=p2)
+    w_p3_a1 = DummyWell(name="A1", parent=p3)
+    w_p5_a1 = DummyWell(name="A1", parent=p5)
+
+    wells = [w_p2_a1, w_p3_a1, w_p2_a2, w_p5_a1]
+    ret = handler._set_liquid_grouped_by_plate(
+        wells=wells,
+        liquid_names=["l1"] * 4,
+        volumes=[10.0, 20.0, 30.0, 40.0],
+    )
+
+    # 每个 well 都被设液
+    assert w_p2_a1.liquid_history == [("l1", 10.0)]
+    assert w_p3_a1.liquid_history == [("l1", 20.0)]
+    assert w_p2_a2.liquid_history == [("l1", 30.0)]
+    assert w_p5_a1.liquid_history == [("l1", 40.0)]
+
+    # 返回 volumes 严格按输入 index 顺序回拼
+    assert ret.volumes == [10.0, 20.0, 30.0, 40.0]
+
+    # plate dump：按 first-occurrence（plate_slot2 第 1 次出现于 idx=0，plate_slot3 idx=1，plate_slot5 idx=3）
+    plate_names = [p["name"] for p in ret.plate]
+    assert plate_names == ["plate_slot2", "plate_slot3", "plate_slot5"]
+
+
+def test_grouped_by_plate_volumes_clamped_to_max_volume(handler):
+    """``set_liquid`` 会按 ``max_volume`` 做 clamp，防止初始化液量超容器容量。"""
+    plate = DummyPlate(name="plate_slot2")
+    well = DummyWell(name="A1", parent=plate, max_volume=200.0)
+
+    ret = handler._set_liquid_grouped_by_plate(
+        wells=[well],
+        liquid_names=["overflow"],
+        volumes=[500.0],          # 超过 max_volume=200
+    )
+
+    assert well.liquid_history == [("overflow", 200.0)]
+    assert ret.volumes == [200.0]
+
+
+def test_grouped_by_plate_empty_names_short_circuit(handler):
+    """``liquid_names`` 与 ``volumes`` 均为空：早返回，wells 列表回显但不设液。"""
+    wells = _wells_grid("plate_slot2", ["A1", "A2"])
+    ret = handler._set_liquid_grouped_by_plate(
+        wells=wells,
+        liquid_names=[],
+        volumes=[],
+    )
+    # 不调用 set_liquids
+    assert all(w.liquid_history == [] for w in wells)
+    assert ret.volumes == []
+    # wells dump 仍返回输入列表
+    assert [w["name"] for w in ret.wells] == ["A1", "A2"]
+
+
+def test_grouped_by_plate_length_mismatch_raises(handler):
+    """wells / liquid_names / volumes 长度不一致应直接 raise（防御性校验）。"""
+    wells = _wells_grid("plate_slot2", ["A1", "A2"])
+    with pytest.raises(ValueError, match=r"必须等长"):
+        handler._set_liquid_grouped_by_plate(
+            wells=wells,
+            liquid_names=["r"] * 2,
+            volumes=[10.0],          # 长度 1，不匹配
+        )

tests/devices/liquid_handling/test_tip_reuse_by_liquid_name.py

@@ -0,0 +1,566 @@
+"""P10 v2 — Tip 复用 ``tracker.liquids`` 等价规则单元测试。
+
+测试覆盖（详见 ``product_designs/protocol_convert/10-tip-reuse-by-liquid-history.md`` §5）：
+
+    - Helper：``is_known_liquid_name`` / ``same_liquid_via_liquids`` /
+      ``same_liquid_via_liquids_pair`` / ``capture_tip_liquid_name``（4 helper
+      位于 ``liquid_history.py``，PLR-free 模块）。
+    - 单通道 transfer_liquid 主循环：identity-keep / liquids-keep / 配置开关 /
+      未知 name 保守换 tip / aspirate 顶层归零时序。
+    - 8 通道分支：段锚孔 liquids-keep。
+    - 跨节点边界：两个独立 transfer_liquid 调用状态隔离。
+
+helper 测试独立于 PLR，可在 ``pylabrobot`` 缺失环境下单独运行；端到端
+``transfer_liquid`` 主循环测试需要 PLR 环境（沿用 ``test_transfer_liquid.py`` 的
+``FakeLiquidHandler`` 模式：跳过 ``super().__init__``，仅 stub 4 类方法记录调用）。
+若 PLR import 失败则自动 skip 端到端测试，保留 helper 测试结果。
+"""
+
+from __future__ import annotations
+
+import asyncio
+from dataclasses import dataclass, field
+from typing import Any, Iterable, List, Optional, Sequence, Tuple
+
+import pytest
+
+# P10 v2 helper 位于 PLR-free 模块，无论 pylabrobot 是否安装都能 import。
+from unilabos.devices.liquid_handling.liquid_history import (
+    capture_tip_liquid_name,
+    is_known_liquid_name,
+    same_liquid_via_liquids,
+    same_liquid_via_liquids_pair,
+)
+
+# 端到端测试依赖 PLR 完整环境；若 import 失败（例如本地 PLR 版本不匹配），
+# 整段端到端测试自动 skip，但 helper 测试照常执行。
+try:
+    from unilabos.devices.liquid_handling.liquid_handler_abstract import (
+        LiquidHandlerAbstract,
+    )
+
+    _PLR_AVAILABLE = True
+    _PLR_IMPORT_ERROR: Optional[Exception] = None
+except Exception as exc:  # pragma: no cover - 环境相关
+    LiquidHandlerAbstract = None  # type: ignore[assignment, misc]
+    _PLR_AVAILABLE = False
+    _PLR_IMPORT_ERROR = exc
+
+
+# ---------------------------------------------------------------------------
+# Fixtures：DummyTracker / DummyWell / DummyTipSpot / FakeLiquidHandler
+# ---------------------------------------------------------------------------
+
+
+@dataclass
+class DummyTracker:
+    """模拟 PLR ``VolumeTracker``：仅暴露 P10 v2 关心的 ``liquids`` 字段。"""
+
+    liquids: List[Tuple[Any, float]] = field(default_factory=list)
+    max_volume: float = 200.0
+    is_disabled: bool = False
+
+
+@dataclass
+class DummyWell:
+    """模拟 PLR ``Well``：仅暴露 ``tracker``。"""
+
+    name: str = "well"
+    tracker: DummyTracker = field(default_factory=DummyTracker)
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"DummyWell({self.name})"
+
+
+def make_well(name: str, liquid_name: Optional[str] = None, vol: float = 100.0) -> DummyWell:
+    """构造一个 well；若指定 ``liquid_name`` 则写入 ``tracker.liquids`` 顶层。"""
+    well = DummyWell(name=name, tracker=DummyTracker())
+    if liquid_name is not None:
+        well.tracker.liquids = [(liquid_name, vol)]
+    return well
+
+
+@dataclass(frozen=True)
+class DummyTipSpot:
+    name: str
+
+
+def make_tip_iter(n: int = 256) -> Iterable[List[DummyTipSpot]]:
+    for i in range(n):
+        yield [DummyTipSpot(f"tip_{i}")]
+
+
+# E2E 测试用的 base：PLR 可用时是 ``LiquidHandlerAbstract``，否则 fallback 到
+# ``object`` 让模块仍能 import；带 ``LiquidHandlerAbstract`` 的 e2e 测试用
+# ``skipif`` 跳过。
+_FakeBase = LiquidHandlerAbstract if _PLR_AVAILABLE else object
+
+
+class FakeLiquidHandler(_FakeBase):  # type: ignore[misc, valid-type]
+    """不初始化真实 backend/deck；仅记录 transfer_liquid 内部 4 类调用序列。
+
+    P10 v2 测试关心 ``pick_up_tips`` / ``discard_tips`` 的触发次数 + 顺序，
+    以推断 tip 是否被复用（一次 pick_up_tips 多次 aspirate/dispense → 复用）。
+    """
+
+    def __init__(self, channel_num: int = 1, tip_reuse_by_liquid_name: bool = True):
+        # 不调用 super().__init__，避免硬件 / ROS / PLR Deck 初始化。
+        self.channel_num = channel_num
+        self.support_touch_tip = True
+        self.current_tip = iter(make_tip_iter(2048))
+        self.calls: List[Tuple[str, Any]] = []
+        self._tip_reuse_by_liquid_name: bool = tip_reuse_by_liquid_name
+
+    def set_tiprack(self, tip_racks):
+        if not tip_racks:
+            return
+        # 跳过真实 set_tiprack（依赖 PLR Deck）
+        return
+
+    async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **kw):
+        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)})
+        )
+
+    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)})
+        )
+
+    async def discard_tips(self, use_channels=None, *args, **kwargs):
+        self.calls.append(("discard_tips", {"use_channels": use_channels}))
+
+
+class AspiratePopFakeLiquidHandler(FakeLiquidHandler):
+    """T11 专用：aspirate 时模拟 PLR "顶层归零时 pop ``tracker.liquids`` 顶层" 的行为。
+
+    用于验证 P10 v2 的关键时序约束：tip name 必须在 aspirate **之前**预读，
+    否则 aspirate 后再读 ``tracker.liquids[-1]`` 会拿不到液体身份。
+    """
+
+    async def aspirate(self, resources, vols, **kwargs):
+        await super().aspirate(resources, vols, **kwargs)
+        # 模拟 PLR 顶层归零时 pop：对每个 source well，若 liquids 非空则 pop 顶层
+        for r in resources:
+            tracker = getattr(r, "tracker", None)
+            if tracker is not None and tracker.liquids:
+                tracker.liquids.pop()
+
+
+def run(coro):
+    return asyncio.run(coro)
+
+
+def call_names(lh: FakeLiquidHandler) -> List[str]:
+    return [c[0] for c in lh.calls]
+
+
+# ---------------------------------------------------------------------------
+# Helper 单元测试
+# ---------------------------------------------------------------------------
+
+
+class TestIsKnownLiquidName:
+    def test_empty_string_is_unknown(self) -> None:
+        assert is_known_liquid_name("") is False
+
+    def test_none_is_unknown(self) -> None:
+        assert is_known_liquid_name(None) is False
+
+    def test_literal_unknown_is_unknown(self) -> None:
+        assert is_known_liquid_name("unknown") is False
+        assert is_known_liquid_name("UNKNOWN") is False
+        assert is_known_liquid_name("  Unknown  ") is False
+
+    def test_literal_none_string_is_unknown(self) -> None:
+        assert is_known_liquid_name("none") is False
+        assert is_known_liquid_name("None") is False
+
+    def test_real_liquid_name_is_known(self) -> None:
+        assert is_known_liquid_name("PBS") is True
+        assert is_known_liquid_name("Tris HCl") is True
+        assert is_known_liquid_name("Liquid_3") is True
+
+
+class TestSameLiquidViaLiquids:
+    def test_well_and_tip_same_name_match(self) -> None:
+        well = make_well("A1", "PBS")
+        assert same_liquid_via_liquids(well, "PBS") is True
+
+    def test_well_and_tip_different_names_no_match(self) -> None:
+        well = make_well("A1", "PBS")
+        assert same_liquid_via_liquids(well, "Tris HCl") is False
+
+    def test_tip_unknown_returns_false(self) -> None:
+        well = make_well("A1", "PBS")
+        assert same_liquid_via_liquids(well, None) is False
+        assert same_liquid_via_liquids(well, "") is False
+        assert same_liquid_via_liquids(well, "unknown") is False
+
+    def test_well_empty_liquids_returns_false(self) -> None:
+        well = make_well("A1", liquid_name=None)  # 不写 liquids
+        assert same_liquid_via_liquids(well, "PBS") is False
+
+    def test_well_unknown_literal_returns_false(self) -> None:
+        well = make_well("A1", "unknown")
+        assert same_liquid_via_liquids(well, "unknown") is False
+
+
+class TestSameLiquidViaLiquidsPair:
+    def test_two_wells_same_name_match(self) -> None:
+        a = make_well("A1", "PBS")
+        b = make_well("B1", "PBS")
+        assert same_liquid_via_liquids_pair(a, b) is True
+
+    def test_two_wells_different_names_no_match(self) -> None:
+        a = make_well("A1", "PBS")
+        b = make_well("B1", "Tris HCl")
+        assert same_liquid_via_liquids_pair(a, b) is False
+
+    def test_either_well_empty_returns_false(self) -> None:
+        a = make_well("A1", "PBS")
+        b = make_well("B1", liquid_name=None)
+        assert same_liquid_via_liquids_pair(a, b) is False
+        assert same_liquid_via_liquids_pair(b, a) is False
+
+
+class TestCaptureTipLiquidName:
+    def test_known_name_returned(self) -> None:
+        well = make_well("A1", "PBS")
+        assert capture_tip_liquid_name(well) == "PBS"
+
+    def test_empty_well_returns_none(self) -> None:
+        well = make_well("A1", liquid_name=None)
+        assert capture_tip_liquid_name(well) is None
+
+    def test_unknown_literal_returns_none(self) -> None:
+        well = make_well("A1", "unknown")
+        assert capture_tip_liquid_name(well) is None
+
+
+# ---------------------------------------------------------------------------
+# T1–T12 端到端测试（单通道 transfer_liquid 主循环）
+#
+# 需要 PLR 完整环境（``pylabrobot.liquid_handling.LiquidHandlerBackend`` 等）。
+# 若 PLR import 失败则整段 skip，helper 测试照常运行。
+# ---------------------------------------------------------------------------
+
+_skip_if_no_plr = pytest.mark.skipif(
+    not _PLR_AVAILABLE,
+    reason=f"pylabrobot import failed: {_PLR_IMPORT_ERROR}",
+)
+
+
+@_skip_if_no_plr
+class TestSingleChannelTipReuse:
+    """覆盖 §5 矩阵 T1 / T2 / T3 / T4 / T5 / T6 / T8 / T10 / T11。"""
+
+    def test_T1_identity_hit_reuses_tip(self) -> None:
+        """T1：连续 2 轮同 source/target → identity-keep 命中，复用 tip。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        src = make_well("S0", "PBS")
+        tgt = make_well("T0")
+        run(
+            lh.transfer_liquid(
+                sources=[src, src],
+                targets=[tgt, tgt],
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1],
+                dis_vols=[1, 1],
+            )
+        )
+        # 2 次 transfer，但 identity-keep → 仅 1 次 pick_up_tips / 1 次 discard_tips
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+        assert call_names(lh).count("aspirate") == 2
+        assert call_names(lh).count("dispense") == 2
+
+    def test_T2_liquids_hit_across_plates(self) -> None:
+        """T2：9 个独立 source well（不同 PLR Well 对象）都装 PBS → identity 全 fail，liquids-keep 全命中。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        sources = [make_well(f"S{i}", "PBS") for i in range(9)]
+        targets = [make_well(f"T{i}") for i in range(9)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1] * 9,
+                dis_vols=[1] * 9,
+            )
+        )
+        # 9 个 source 物理上同液 → 整段共用 1 个 tip
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+        assert call_names(lh).count("aspirate") == 9
+        assert call_names(lh).count("dispense") == 9
+
+    def test_T3_liquids_hit_same_plate_different_wells(self) -> None:
+        """T3：同 plate 上 A1-H1 都装 PBS（8 个不同 Well 对象）→ identity 全 fail，liquids-keep 命中。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        sources = [make_well(f"A{i}", "PBS") for i in range(1, 9)]
+        targets = [make_well(f"T{i}") for i in range(8)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1] * 8,
+                dis_vols=[1] * 8,
+            )
+        )
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+
+    def test_T4_liquids_not_match_forces_tip_change(self) -> None:
+        """T4：A1=PBS，B1=Tris HCl → liquids 名不等，强制换 tip。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        sources = [make_well("A1", "PBS"), make_well("B1", "Tris HCl")]
+        targets = [make_well("T0"), make_well("T1")]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1],
+                dis_vols=[1, 1],
+            )
+        )
+        # 2 次完全独立的 transfer：2 次 pick_up / 2 次 discard
+        assert call_names(lh).count("pick_up_tips") == 2
+        assert call_names(lh).count("discard_tips") == 2
+
+    def test_T5_empty_liquids_forces_tip_change(self) -> None:
+        """T5：source 从未调过 set_liquids（liquids 空）→ 视为未知，强制换 tip。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        sources = [make_well("A1"), make_well("B1")]  # 没装液体名
+        targets = [make_well("T0"), make_well("T1")]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1],
+                dis_vols=[1, 1],
+            )
+        )
+        assert call_names(lh).count("pick_up_tips") == 2
+        assert call_names(lh).count("discard_tips") == 2
+
+    def test_T6_switch_off_disables_liquids_keep(self) -> None:
+        """T6：tip_reuse_by_liquid_name=False，T2 场景退化为 identity-only，强制换 tip。"""
+        lh = FakeLiquidHandler(channel_num=1, tip_reuse_by_liquid_name=False)
+        sources = [make_well(f"S{i}", "PBS") for i in range(9)]
+        targets = [make_well(f"T{i}") for i in range(9)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1] * 9,
+                dis_vols=[1] * 9,
+            )
+        )
+        # 关闭开关后 → 退化为 identity-only，9 次独立换 tip
+        assert call_names(lh).count("pick_up_tips") == 9
+        assert call_names(lh).count("discard_tips") == 9
+
+    def test_T8_mix_style_same_source_reuses_via_identity(self) -> None:
+        """T8：单 source 反复 aspirate/dispense → identity-keep 命中（mix-style）。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        src = make_well("S0", "Methanol")
+        tgt = make_well("T0")
+        run(
+            lh.transfer_liquid(
+                sources=[src, src, src],
+                targets=[tgt, tgt, tgt],
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1, 1],
+                dis_vols=[1, 1, 1],
+            )
+        )
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+
+    def test_T10_unknown_literal_treated_as_unknown(self) -> None:
+        """T10：``tracker.liquids = [("unknown", v)]``（兼容旧数据）→ 视为未知，强制换 tip。"""
+        lh = FakeLiquidHandler(channel_num=1)
+        sources = [make_well("A1", "unknown"), make_well("B1", "unknown")]
+        targets = [make_well("T0"), make_well("T1")]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1, 1],
+                dis_vols=[1, 1],
+            )
+        )
+        assert call_names(lh).count("pick_up_tips") == 2
+        assert call_names(lh).count("discard_tips") == 2
+
+    def test_T11_aspirate_pop_timing_pre_read(self) -> None:
+        """T11：aspirate 顶层归零 → PLR pop ``tracker.liquids`` 顶层；
+        验证 P10 v2 ``pending_tip_name`` 必须在 aspirate **之前**预读才能命中下一轮。
+        """
+        lh = AspiratePopFakeLiquidHandler(channel_num=1)
+        sources = [make_well(f"S{i}", "PBS") for i in range(3)]
+        targets = [make_well(f"T{i}") for i in range(3)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1] * 3,
+                dis_vols=[1] * 3,
+            )
+        )
+        # 即使 aspirate 后 source.tracker.liquids 被 pop，pending_tip_name 已捕获 "PBS"
+        # → 下一轮 source 仍是 PBS（aspirate 还没发生），liquids-keep 命中
+        # → 整段 1 次 pick_up_tips
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+
+
+# ---------------------------------------------------------------------------
+# T7：跨节点边界（两个独立 transfer_liquid 调用，状态隔离）
+# ---------------------------------------------------------------------------
+
+
+@_skip_if_no_plr
+class TestCrossNodeBoundary:
+    """T7：两个 transfer_liquid 节点之间不复用 tip（每次调用初始化 current_tip_liquid_name=None）。"""
+
+    def test_T7_two_calls_dont_share_tip_state(self) -> None:
+        lh = FakeLiquidHandler(channel_num=1)
+        src_a = make_well("A_src", "PBS")
+        tgt_a = make_well("A_tgt")
+        src_b = make_well("B_src", "PBS")  # 同名液，但不同 well
+        tgt_b = make_well("B_tgt")
+
+        run(
+            lh.transfer_liquid(
+                sources=[src_a],
+                targets=[tgt_a],
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1],
+                dis_vols=[1],
+            )
+        )
+        run(
+            lh.transfer_liquid(
+                sources=[src_b],
+                targets=[tgt_b],
+                tip_racks=[],
+                use_channels=[0],
+                asp_vols=[1],
+                dis_vols=[1],
+            )
+        )
+        # 两次调用各自独立换 tip → 2 次 pick_up_tips / 2 次 discard_tips
+        assert call_names(lh).count("pick_up_tips") == 2
+        assert call_names(lh).count("discard_tips") == 2
+
+
+# ---------------------------------------------------------------------------
+# T9：8 通道段锚孔 liquids-keep
+# ---------------------------------------------------------------------------
+
+
+@_skip_if_no_plr
+class TestEightChannelSegmentTipReuse:
+    """T9：8 通道分段，连续两段 src_slice[0] 同名 → 段间不换 tip。"""
+
+    def test_T9_two_segments_same_anchor_liquid(self) -> None:
+        lh = FakeLiquidHandler(channel_num=8)
+        # 16 个 source wells，分 2 段；段 1 锚孔 = sources[0]，段 2 锚孔 = sources[8]
+        sources = [make_well(f"S{i}", "PBS") for i in range(16)]
+        targets = [make_well(f"T{i}") for i in range(16)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=list(range(8)),
+                asp_vols=[1] * 16,
+                dis_vols=[1] * 16,
+                mix_times=0,
+            )
+        )
+        # 2 段都同液 → liquids-keep 命中 → 仅 1 次 pick_up_tips
+        assert call_names(lh).count("pick_up_tips") == 1
+        assert call_names(lh).count("discard_tips") == 1
+
+    def test_T9b_two_segments_different_anchor_liquid_forces_tip_change(self) -> None:
+        """T9b：段 1 锚孔 = PBS，段 2 锚孔 = Tris → 段间强制换 tip。"""
+        lh = FakeLiquidHandler(channel_num=8)
+        seg1 = [make_well(f"S{i}", "PBS") for i in range(8)]
+        seg2 = [make_well(f"S{i + 8}", "Tris HCl") for i in range(8)]
+        sources = seg1 + seg2
+        targets = [make_well(f"T{i}") for i in range(16)]
+        run(
+            lh.transfer_liquid(
+                sources=sources,
+                targets=targets,
+                tip_racks=[],
+                use_channels=list(range(8)),
+                asp_vols=[1] * 16,
+                dis_vols=[1] * 16,
+                mix_times=0,
+            )
+        )
+        # 2 段不同液 → 2 次独立换 tip
+        assert call_names(lh).count("pick_up_tips") == 2
+        assert call_names(lh).count("discard_tips") == 2
+
+
+# ---------------------------------------------------------------------------
+# 配置开关默认值 / 实例字段读取
+# ---------------------------------------------------------------------------
+
+
+@_skip_if_no_plr
+class TestConfigDefault:
+    def test_default_switch_is_on(self) -> None:
+        """默认 ``_tip_reuse_by_liquid_name`` 应为 True（测试 fixture 显式 default 一致）。"""
+        lh = FakeLiquidHandler()
+        assert lh._tip_reuse_by_liquid_name is True
+
+    def test_switch_off_takes_effect(self) -> None:
+        lh = FakeLiquidHandler(tip_reuse_by_liquid_name=False)
+        assert lh._tip_reuse_by_liquid_name is False

tests/devices/liquid_handling/test_transfer_liquid.py

@@ -0,0 +1,510 @@
+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]] = []
+
+    def set_tiprack(self, tip_racks):
+        if not tip_racks:
+            return
+        super().set_tiprack(tip_racks)
+
+    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/liquid_handling/unit_test.py

@@ -0,0 +1,608 @@
+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]] = []
+
+    def set_tiprack(self, tip_racks):
+        # transfer_liquid 总会调用 set_tiprack；测试用 Dummy 枪头时 tip_racks 为空，需保留自种子的 current_tip
+        if not tip_racks:
+            return
+        super().set_tiprack(tip_racks)
+
+    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}))
+
+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,
+    )
+  )
+
+  aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
+  assert len(aspirate_calls) >= 2
+  mix_idx, mix_payload = aspirate_calls[0]
+  assert mix_payload["resources"] == [target]
+  assert mix_payload["vols"] == [3]
+  transfer_idx, transfer_payload = aspirate_calls[1]
+  assert transfer_payload["resources"] == [source]
+  assert mix_idx < transfer_idx
+
+
+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,
+    )
+  )
+
+  aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
+  assert len(aspirate_calls) >= 1
+  mix_idx, mix_payload = aspirate_calls[0]
+  assert mix_payload["resources"] == [target]
+  assert mix_payload["vols"] == [4]
+  # 第一個 mix 之後會真正開始吸 source
+  assert any(call["resources"] == [sources[0]] for _, call in aspirate_calls[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,
+      )
+    )
+
+
+def test_mix_single_target_produces_matching_cycles():
+  lh = FakeLiquidHandler(channel_num=1)
+  target = DummyContainer("T_mix")
+
+  run(lh.mix(targets=[target], mix_time=2, mix_vol=5))
+
+  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
+  assert all(call["resources"] == [target] for call in aspirates)
+  assert all(call["vols"] == [5] for call in aspirates)
+  assert all(call["resources"] == [target] for call in dispenses)
+  assert all(call["vols"] == [5] for call in dispenses)
+
+
+def test_mix_multiple_targets_supports_per_target_offsets():
+  lh = FakeLiquidHandler(channel_num=1)
+  targets = [DummyContainer("T0"), DummyContainer("T1")]
+  offsets = ["left", "right"]
+  heights = [0.1, 0.2]
+  rates = [0.5, 1.0]
+
+  run(
+    lh.mix(
+      targets=targets,
+      mix_time=1,
+      mix_vol=3,
+      offsets=offsets,
+      height_to_bottom=heights,
+      mix_rate=rates,
+    )
+  )
+
+  aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
+  assert len(aspirates) == 2
+  assert aspirates[0]["resources"] == [targets[0]]
+  assert aspirates[0]["offsets"] == [offsets[0]]
+  assert aspirates[0]["liquid_height"] == [heights[0]]
+  assert aspirates[0]["flow_rates"] == [rates[0]]
+  assert aspirates[1]["resources"] == [targets[1]]
+  assert aspirates[1]["offsets"] == [offsets[1]]
+  assert aspirates[1]["liquid_height"] == [heights[1]]
+  assert aspirates[1]["flow_rates"] == [rates[1]]
+
+
+def test_set_tiprack_per_type_resumes_first_physical_rack():
+    """同型号多次 set_tiprack 时接续第一盒剩余孔位，而非从新盒 A1 开始。"""
+    from pylabrobot.liquid_handling import LiquidHandlerChatterboxBackend
+    from pylabrobot.resources import Deck, Tip, TipRack, TipSpot, create_equally_spaced
+
+    mk = lambda: Tip(
+        has_filter=False, total_tip_length=10.0, maximal_volume=300.0, fitting_depth=2.0
+    )
+
+    class TipTypeAlpha(TipRack):
+        pass
+
+    class TipTypeBeta(TipRack):
+        pass
+
+    def make_rack(cls: type, name: str) -> TipRack:
+        items = create_equally_spaced(
+            TipSpot,
+            num_items_x=12,
+            num_items_y=2,
+            dx=0,
+            dy=0,
+            dz=0,
+            item_dx=9,
+            item_dy=9,
+            size_x=1,
+            size_y=1,
+            make_tip=mk,
+        )
+        return cls(name, 120, 40, 10, items=items)
+
+    rack1 = make_rack(TipTypeAlpha, "rack_phys_1")
+    rack2 = make_rack(TipTypeBeta, "rack_phys_2")
+    rack3 = make_rack(TipTypeAlpha, "rack_phys_3")
+
+    lh = LiquidHandlerAbstract(
+        LiquidHandlerChatterboxBackend(1), Deck(), channel_num=1, simulator=False
+    )
+    flat1 = lh._flatten_tips_from_one(rack1)
+    assert len(flat1) == 24
+
+    lh.set_tiprack([rack1])
+    for i in range(12):
+        assert lh._get_next_tip() is flat1[i]
+
+    lh.set_tiprack([rack2])
+    spot_b = lh._get_next_tip()
+    assert "rack_phys_2" in spot_b.name
+
+    lh.set_tiprack([rack3])
+    spot_resume = lh._get_next_tip()
+    assert spot_resume is flat1[12], "第三次同型号应接续 rack1 第二行首孔，而非 rack3 首孔"
+    assert spot_resume is not lh._flatten_tips_from_one(rack3)[0]
+
+

tests/resources/test_resource_tracker_history.py

@@ -0,0 +1,137 @@
+"""P9 — ``_augment_states_with_liquid_history`` 单元测试（OS→Cloud sync 链路 Phase C）。
+
+详见 ``product_designs/protocol_convert/09-liquid-history-unknown-debug.md`` §6.3 / §8 T4。
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Dict, List
+
+import pytest
+
+from unilabos.resources.resource_tracker import _augment_states_with_liquid_history
+
+
+# ---------------------------------------------------------------------------
+# Fixtures：纯 dataclass 模拟 PLR 资源树（避免引入 PLR 真实实例化）
+# ---------------------------------------------------------------------------
+
+
+@dataclass
+class FakeTracker:
+    liquid_history: Any = field(default_factory=list)
+
+
+@dataclass
+class FakeResource:
+    name: str
+    tracker: Any = None
+    children: List["FakeResource"] = field(default_factory=list)
+
+
+# ---------------------------------------------------------------------------
+# Tests
+# ---------------------------------------------------------------------------
+
+
+class TestAugmentStatesWithLiquidHistory:
+    def test_single_well_history_attached(self) -> None:
+        well = FakeResource("well_A1", tracker=FakeTracker(liquid_history=[
+            {"name": "Plasma", "volume": 100, "action": "set"}
+        ]))
+        states: Dict[str, Any] = {"well_A1": {"liquids": [], "pending_liquids": []}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        assert "liquid_history" in states["well_A1"]
+        assert states["well_A1"]["liquid_history"] == [
+            {"name": "Plasma", "volume": 100, "action": "set"}
+        ]
+
+    def test_recursive_walk_attaches_to_all_wells(self) -> None:
+        """resource 树有多层时，每个有 tracker 的节点都会被并入 states。"""
+        wells = [
+            FakeResource(f"well_{i}", tracker=FakeTracker(liquid_history=[
+                {"name": f"L_{i}", "volume": i * 10, "action": "set"}
+            ]))
+            for i in range(3)
+        ]
+        plate = FakeResource("plate", children=wells)
+        deck = FakeResource("deck", children=[plate])
+        states: Dict[str, Any] = {
+            "deck": {"liquids": []},
+            "plate": {"liquids": []},
+            "well_0": {"liquids": []},
+            "well_1": {"liquids": []},
+            "well_2": {"liquids": []},
+        }
+
+        _augment_states_with_liquid_history(deck, states)
+
+        assert states["well_0"]["liquid_history"] == [{"name": "L_0", "volume": 0, "action": "set"}]
+        assert states["well_1"]["liquid_history"] == [{"name": "L_1", "volume": 10, "action": "set"}]
+        assert states["well_2"]["liquid_history"] == [{"name": "L_2", "volume": 20, "action": "set"}]
+
+    def test_no_tracker_node_skipped(self) -> None:
+        """没有 tracker 的节点（如 deck 自身）跳过，state dict 不被污染。"""
+        deck = FakeResource("deck")  # tracker=None
+        states: Dict[str, Any] = {"deck": {"some_field": 1}}
+
+        _augment_states_with_liquid_history(deck, states)
+
+        assert "liquid_history" not in states["deck"]
+
+    def test_existing_liquid_history_in_state_not_overwritten(self) -> None:
+        """state 已经有 liquid_history 字段（例如 PLR 升级未来支持了）→ 不覆盖。"""
+        well = FakeResource("well_A1", tracker=FakeTracker(liquid_history=[
+            {"name": "Plasma", "volume": 100, "action": "set"}
+        ]))
+        states: Dict[str, Any] = {"well_A1": {"liquid_history": ["preexisting"]}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        assert states["well_A1"]["liquid_history"] == ["preexisting"]
+
+    def test_history_is_shallow_copied(self) -> None:
+        """augment 后的 history 应是独立 list（避免运行时 mutate 污染 dump 结果）。"""
+        original_history = [{"name": "X", "volume": 1, "action": "set"}]
+        well = FakeResource("well_A1", tracker=FakeTracker(liquid_history=original_history))
+        states: Dict[str, Any] = {"well_A1": {}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        # mutate runtime history 不应反映到 augmented state
+        original_history.append({"name": "Y", "volume": 2, "action": "set"})
+        assert len(states["well_A1"]["liquid_history"]) == 1
+
+    def test_node_not_in_states_silently_skipped(self) -> None:
+        """resource 树中的节点 name 不在 ``states`` 字典里 → 静默跳过。"""
+        well = FakeResource("well_orphan", tracker=FakeTracker(liquid_history=[
+            {"name": "X", "volume": 1, "action": "set"}
+        ]))
+        states: Dict[str, Any] = {"well_A1": {}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        # 不应该新增 well_orphan 键，也不应污染 well_A1
+        assert "well_orphan" not in states
+        assert "liquid_history" not in states["well_A1"]
+
+    def test_non_list_liquid_history_skipped(self) -> None:
+        """tracker.liquid_history 非 list 时（异常情况）→ 跳过，不写入 state。"""
+        well = FakeResource("well_A1", tracker=FakeTracker(liquid_history="broken"))
+        states: Dict[str, Any] = {"well_A1": {}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        assert "liquid_history" not in states["well_A1"]
+
+    def test_empty_history_still_written(self) -> None:
+        """tracker.liquid_history = [] 是合法状态 → 应写入空 list（表示"未有任何液体操作"）。"""
+        well = FakeResource("well_A1", tracker=FakeTracker(liquid_history=[]))
+        states: Dict[str, Any] = {"well_A1": {}}
+
+        _augment_states_with_liquid_history(well, states)
+
+        assert states["well_A1"]["liquid_history"] == []

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"
+    }
+  }
+}

tests/workflow/test_build_protocol_graph_target_device.py

@@ -0,0 +1,351 @@
+"""P6.1 / P6.1.1 `build_protocol_graph` 集成测试 —— 对应 06-labware-mapping-table.md §11.7.7 C / §11.8.7 C。
+
+6 条用例：
+
+- `test_build_graph_default_target_device_prcxi` —— 不传 target_device 时默认 "prcxi"，
+  与 P6 等价（PRCXI_* class_name）。
+- `test_build_graph_explicit_target_device_prcxi` —— 显式 "prcxi" 与默认完全等价。
+- `test_build_graph_target_device_unknown_falls_back_to_default_section` —— 未声明的
+  target_device 由 loader 自动 fallback 到 ``target_devices.default``；第一版 default
+  段按 prcxi 拷贝，所以结果应与 "prcxi" 完全一致。
+- `test_build_graph_per_device_tip_class` —— 临时 YAML 同时声明 prcxi 与 beckman tip
+  量程档；同一 transfer_liquid 在 target_device="prcxi" / "beckman" 下命中不同 class。
+- `test_field_renamed_target_class_name` —— `labware_info` 写入的字段是
+  `target_class_name`，**旧字段 `prcxi_class_name` 不存在**。
+- `test_build_graph_model_level_slot_remap` —— P6.1.1：``target_model`` 透传到
+  ``_map_deck_slot`` 后改变 create_resource 的 slot（同厂商不同型号 deck 物理布局不同）。
+
+本测试在导入 common.py 之前 mock 掉 matplotlib / networkx.drawing.nx_agraph，避免在
+没有图形依赖的最小 Python 环境下也能跑（与 P6 批量回归脚本同样的策略）。
+"""
+from __future__ import annotations
+
+import sys
+import types
+import warnings
+from pathlib import Path
+
+import pytest
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+
+def _install_fake_optional_deps() -> None:
+    """安装 matplotlib / networkx.drawing.nx_agraph 的 fake 实现，避免本地环境硬依赖。
+
+    common.py 在模块级 import 这些库做可视化辅助；build_protocol_graph 主路径不会真用到。
+    fake 模块只需要满足 ``from X import Y`` 的查找即可。
+    """
+    if "matplotlib" not in sys.modules:
+        fake_matplotlib = types.ModuleType("matplotlib")
+        sys.modules["matplotlib"] = fake_matplotlib
+    if "matplotlib.pyplot" not in sys.modules:
+        fake_plt = types.ModuleType("matplotlib.pyplot")
+        sys.modules["matplotlib.pyplot"] = fake_plt
+    # networkx.drawing.nx_agraph.to_agraph 依赖 pygraphviz；不可用时给个空 stub
+    try:
+        from networkx.drawing import nx_agraph  # noqa: F401
+    except Exception:
+        nx_drawing = types.ModuleType("networkx.drawing")
+        nx_agraph_mod = types.ModuleType("networkx.drawing.nx_agraph")
+
+        def _to_agraph(_g):  # type: ignore[no-untyped-def]
+            raise RuntimeError("nx_agraph fake — not used in build_protocol_graph main path")
+
+        nx_agraph_mod.to_agraph = _to_agraph  # type: ignore[attr-defined]
+        nx_drawing.nx_agraph = nx_agraph_mod  # type: ignore[attr-defined]
+        sys.modules["networkx.drawing"] = nx_drawing
+        sys.modules["networkx.drawing.nx_agraph"] = nx_agraph_mod
+
+
+_install_fake_optional_deps()
+
+from unilabos.workflow import labware_mapping as lm  # noqa: E402
+from unilabos.workflow.common import build_protocol_graph  # noqa: E402
+
+
+@pytest.fixture(autouse=True)
+def _reset_mapping_cache():
+    """每个用例后清 lru_cache，避免跨用例污染。"""
+    yield
+    lm.reload_mapping()
+
+
+# ==================== 公共 fixture：最小 transfer_liquid 协议 ====================
+
+
+def _minimal_labware_info() -> dict:
+    """返回最小可用的 labware_info（mutable，每个 case 独立 build 一份）。
+
+    包含 tip rack + 24-tube rack + 96 wellplate（slot 1/2/3），覆盖 P6.1 主要 kind。
+    tube rack / plate 显式声明 ``num_wells``，避免在无 labware_defs / 无 prcxi_labware 模板
+    时通过 well-count 启发式（well_n=3）误判孔数；与真实协议中 labware_defs 提供 num_wells
+    的行为对齐。
+    """
+    return {
+        "tips": {
+            "slot": 1,
+            "well": [],
+            "labware": "opentrons_96_tiprack_300ul",
+            "object": "tiprack",
+        },
+        "samples": {
+            "slot": 2,
+            "well": ["A1", "A2", "A3"],
+            "labware": "opentrons_24_tuberack_eppendorf_2ml_safelock_snapcap",
+            "object": "source",
+            "num_wells": 24,
+        },
+        "plate_target": {
+            "slot": 3,
+            "well": ["A1", "A2", "A3"],
+            "labware": "opentrons_96_wellplate_300ul_pcr",
+            "object": "target",
+            "num_wells": 96,
+        },
+    }
+
+
+def _minimal_protocol_steps() -> list:
+    """最小 transfer_liquid 协议步骤：asp_vols/dis_vols 最大 200 µL → PRCXI 300ul 档。"""
+    return [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "samples",
+                "targets": "plate_target",
+                "tip_racks": "tips",
+                "asp_vols": [200.0, 200.0, 200.0],
+                "dis_vols": [200.0, 200.0, 200.0],
+            },
+            "step_number": 1,
+        }
+    ]
+
+
+def _collect_create_resource_classes(graph) -> dict:
+    """从工作流图中提取每个 create_resource 节点的 ``slot_on_deck → class_name``。"""
+    out: dict = {}
+    for _nid, node in graph.nodes.items():
+        if node.get("template_name") != "create_resource":
+            continue
+        param = node.get("param") or {}
+        slot = str(param.get("slot_on_deck") or "")
+        cls = str(param.get("class_name") or "")
+        if slot:
+            out[slot] = cls
+    return out
+
+
+# ==================== 5 条核心用例 ====================
+
+
+def test_build_graph_default_target_device_prcxi():
+    """不传 target_device → 默认 "prcxi" → 与 P6 等价（PRCXI_* class_name）。"""
+    labware_info = _minimal_labware_info()
+    g = build_protocol_graph(
+        labware_info=labware_info,
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+    )
+    classes = _collect_create_resource_classes(g)
+    assert classes["1"] == "PRCXI_300ul_Tips"           # 200 µL → 300 档
+    assert classes["2"] == "PRCXI_EP_Adapter"            # 24-tube rack
+    assert classes["3"] == "PRCXI_BioER_96_wellplate"    # 96 wellplate
+
+
+def test_build_graph_explicit_target_device_prcxi():
+    """显式传 target_device="prcxi" 应与默认完全等价。"""
+    labware_info_a = _minimal_labware_info()
+    labware_info_b = _minimal_labware_info()
+    g_default = build_protocol_graph(
+        labware_info=labware_info_a,
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+    )
+    g_prcxi = build_protocol_graph(
+        labware_info=labware_info_b,
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+        target_device="prcxi",
+    )
+    assert _collect_create_resource_classes(g_default) == _collect_create_resource_classes(g_prcxi)
+
+
+def test_build_graph_target_device_unknown_falls_back_to_default_section():
+    """未声明的 target_device → loader 自动 fallback 到固定段 target_devices.default + warning。
+
+    第一版 default 段按 prcxi 拷贝填充 → 结果应与 target_device="prcxi" 完全等价（PRCXI_*）。
+    """
+    labware_info_a = _minimal_labware_info()
+    labware_info_b = _minimal_labware_info()
+    g_prcxi = build_protocol_graph(
+        labware_info=labware_info_a,
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+        target_device="prcxi",
+    )
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        g_unknown = build_protocol_graph(
+            labware_info=labware_info_b,
+            protocol_steps=_minimal_protocol_steps(),
+            workstation_name="PRCXI",
+            target_device="unknown_xxx",
+        )
+    assert _collect_create_resource_classes(g_unknown) == _collect_create_resource_classes(g_prcxi)
+    # loader 至少打 1 次 warning 提示「未声明、已回退到 default」
+    assert any(
+        ("未在 labware_mapping.yaml" in str(w.message))
+        or ("target_devices.default" in str(w.message))
+        for w in caught
+    )
+
+
+def test_build_graph_per_device_tip_class(tmp_path, monkeypatch):
+    """同一 protocol，target_device="prcxi" / "beckman" 在 200µL 下命中不同 tip 档（P6.1.1 schema）。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds:\n'
+        '  - {pattern: "trash", kind: trash}\n'
+        '  - {pattern: "tiprack|tip[_ ]?rack|opentrons_\\\\d+_tiprack", kind: tip_rack}\n'
+        '  - {pattern: "tuberack|tube[_ ]rack|eppendorf.*rack|safelock.*rack", kind: tube_rack}\n'
+        '  - {pattern: ".*", kind: plate}\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13", "8": "14"}, by_object: {trash: {"12": "16"}}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96,                    class_name: PRCXI_1000uL_Tips}\n'
+        '      - {kind: tube_rack, hole_count: 24, class_name: PRCXI_EP_Adapter}\n'
+        '      - {kind: plate,     hole_count: 96, class_name: PRCXI_BioER_96_wellplate}\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13", "8": "14"}, by_object: {trash: {"12": "16"}}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96,                    class_name: PRCXI_1000uL_Tips}\n'
+        '      - {kind: tube_rack, hole_count: 24, class_name: PRCXI_EP_Adapter}\n'
+        '      - {kind: plate,     hole_count: 96, class_name: PRCXI_BioER_96_wellplate}\n'
+        '  beckman:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {trash: {"12": "16"}}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 20,    class_name: Beckman_20uL_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96, volume_max: 199.9, class_name: Beckman_200uL_Tips}\n'
+        '      - {kind: tip_rack,  hole_count: 96,                    class_name: Beckman_1000uL_Tips}\n'
+        '      - {kind: tube_rack, hole_count: 24, class_name: Beckman_24_TubeRack}\n'
+        '      - {kind: plate,     hole_count: 96, class_name: Beckman_BioMek_96_wellplate}\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+
+    g_prcxi = build_protocol_graph(
+        labware_info=_minimal_labware_info(),
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+        target_device="prcxi",
+    )
+    g_beckman = build_protocol_graph(
+        labware_info=_minimal_labware_info(),
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+        target_device="beckman",
+    )
+
+    classes_prcxi = _collect_create_resource_classes(g_prcxi)
+    classes_beckman = _collect_create_resource_classes(g_beckman)
+
+    # 200 µL：prcxi 走 300 档；beckman 200 档已超 → 1000 档
+    assert classes_prcxi["1"] == "PRCXI_300ul_Tips"
+    assert classes_beckman["1"] == "Beckman_1000uL_Tips"
+    # plate / tube rack 也按 target_device 输出对应厂商类
+    assert classes_prcxi["2"] == "PRCXI_EP_Adapter"
+    assert classes_beckman["2"] == "Beckman_24_TubeRack"
+    assert classes_prcxi["3"] == "PRCXI_BioER_96_wellplate"
+    assert classes_beckman["3"] == "Beckman_BioMek_96_wellplate"
+
+
+def test_field_renamed_target_class_name():
+    """`labware_info` 写入的字段是 `target_class_name`；旧字段 `prcxi_class_name` 不存在。"""
+    labware_info = _minimal_labware_info()
+    build_protocol_graph(
+        labware_info=labware_info,
+        protocol_steps=_minimal_protocol_steps(),
+        workstation_name="PRCXI",
+    )
+    for lid, item in labware_info.items():
+        assert "target_class_name" in item, f"{lid!r} 缺少 target_class_name 字段"
+        assert "prcxi_class_name" not in item, f"{lid!r} 残留了旧字段 prcxi_class_name"
+        assert item["target_class_name"], f"{lid!r} target_class_name 为空"
+
+
+# ==================== P6.1.1 新增集成测试 ====================
+
+
+def _labware_info_slot4_plate() -> dict:
+    """slot=4 的 96 板：用来验证 target_model 透传后 slot_remap 改变 create_resource 的槽位。"""
+    return {
+        "plate_slot4": {
+            "slot": 4,
+            "well": ["A1"],
+            "labware": "opentrons_96_wellplate_300ul_pcr",
+            "object": "target",
+            "num_wells": 96,
+        },
+    }
+
+
+def test_build_graph_model_level_slot_remap(tmp_path, monkeypatch):
+    """P6.1.1：target_model 透传到 _map_deck_slot 后改变 create_resource 的 slot_on_deck。
+
+    YAML 中 prcxi 厂商级 slot_remap 4→13；模型 "4040" 显式覆盖 4→16。
+    同一份 labware_info（slot=4）build 出的两份图，slot_on_deck 应分别为 "13" 与 "16"。
+    """
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: [{kind: plate, hole_count: 96, class_name: PRCXI_BioER_96_wellplate}]\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: [{kind: plate, hole_count: 96, class_name: PRCXI_BioER_96_wellplate}]\n'
+        '    models:\n'
+        '      "4040":\n'
+        '        slot_remap: {default: {"4": "16"}, by_object: {}}\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+
+    g_default = build_protocol_graph(
+        labware_info=_labware_info_slot4_plate(),
+        protocol_steps=[],
+        workstation_name="PRCXI",
+        target_device="prcxi",
+    )
+    g_model_4040 = build_protocol_graph(
+        labware_info=_labware_info_slot4_plate(),
+        protocol_steps=[],
+        workstation_name="PRCXI",
+        target_device="prcxi",
+        target_model="4040",
+    )
+
+    classes_default = _collect_create_resource_classes(g_default)
+    classes_4040 = _collect_create_resource_classes(g_model_4040)
+
+    # 厂商级（无 model）→ slot 4 → "13"
+    assert "13" in classes_default, f"未找到 slot 13，实际生成的 slots: {list(classes_default)}"
+    assert "16" not in classes_default
+    # 模型 4040 → slot 4 → "16"
+    assert "16" in classes_4040, f"未找到 slot 16，实际生成的 slots: {list(classes_4040)}"
+    assert "13" not in classes_4040
+    # class_name 不变（rules 继承厂商级）
+    assert classes_default["13"] == "PRCXI_BioER_96_wellplate"
+    assert classes_4040["16"] == "PRCXI_BioER_96_wellplate"

tests/workflow/test_common_cross_slot_v2.py

@@ -0,0 +1,369 @@
+"""P2 v2 跨 slot transfer_liquid 合并 —— Stage 3 (`workflow/common.py`) 集成测试。
+
+对应 ``product_designs/protocol_convert/02-cross-slot-merge.md`` §9.5 step 6.2。
+
+v2 设计要点（与本测试用例的映射）
+-----------------------------------
+当 transfer_liquid 节点 ``params.targets`` 是 ``list[str]`` 时，``build_protocol_graph``
+在该 transfer_liquid 之前**插入一个 merged ``set_liquid_from_plate`` 节点**：
+
+- merged 节点的 ``param.wells`` 是按 ``params.targets`` 顺序通过 cursor 拼出来的有序跨板
+  well refs（每个元素是 ``{id, name, parent: reagent_key, type: "well"}``）。
+- merged 节点接收来自每个涉及 plate 的 ``create_resource`` 节点的多入边
+  (``labware`` → ``wells_identifier``)。
+- merged 节点的 ``output_wells`` 通过**单条边**连到 transfer_liquid 的 ``targets_identifier``。
+- transfer_liquid 节点的 ``params.targets`` 被改写为 synthetic key
+  ``_merged_targets_<idx>``（runtime 不消费 list 形态），保证 INPUT_PORT_MAPPING 走单边路径。
+
+用例
+----
+- ``test_emit_merged_set_liquid_basic`` — 4 个 distinct reagent_key（51b9a5 主场景）。
+- ``test_emit_merged_set_liquid_repeat_key`` — 同 reagent_key 重复（同板多孔）。
+- ``test_emit_merged_set_liquid_mixed`` — 跨板混合 + 同板重复（cursor 推进）。
+- ``test_emit_merged_set_liquid_8ch`` — 与 P1 multi-channel 复合（8 通道 cross-slot）。
+- ``test_transfer_liquid_targets_rewrite`` — transfer_liquid 节点改写后只剩 1 条
+  ``targets_identifier`` 入边；params.targets 不再是 list。
+"""
+from __future__ import annotations
+
+import sys
+import types
+from pathlib import Path
+from typing import Any, Dict, List
+
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+
+def _install_fake_optional_deps() -> None:
+    """与 test_build_protocol_graph_target_device.py 一致的可选依赖 stub。"""
+    if "matplotlib" not in sys.modules:
+        sys.modules["matplotlib"] = types.ModuleType("matplotlib")
+    if "matplotlib.pyplot" not in sys.modules:
+        sys.modules["matplotlib.pyplot"] = types.ModuleType("matplotlib.pyplot")
+    try:
+        from networkx.drawing import nx_agraph  # noqa: F401
+    except Exception:
+        nx_drawing = types.ModuleType("networkx.drawing")
+        nx_agraph_mod = types.ModuleType("networkx.drawing.nx_agraph")
+        nx_agraph_mod.to_agraph = lambda _g: None  # type: ignore[attr-defined]
+        nx_drawing.nx_agraph = nx_agraph_mod  # type: ignore[attr-defined]
+        sys.modules["networkx.drawing"] = nx_drawing
+        sys.modules["networkx.drawing.nx_agraph"] = nx_agraph_mod
+
+
+_install_fake_optional_deps()
+
+import pytest  # noqa: E402
+
+from unilabos.workflow.common import build_protocol_graph  # noqa: E402
+
+
+# ==================== 测试辅助：从工作流图中提取节点/边 ====================
+
+
+def _nodes_by_template(graph, template_name: str) -> List[Dict[str, Any]]:
+    return [
+        {"id": nid, **node}
+        for nid, node in graph.nodes.items()
+        if node.get("template_name") == template_name
+    ]
+
+
+def _create_resource_by_slot(graph) -> Dict[str, str]:
+    """slot_on_deck (str) -> create_resource 节点 ID。"""
+    out: Dict[str, str] = {}
+    for nid, node in graph.nodes.items():
+        if node.get("template_name") == "create_resource":
+            slot = str(node.get("param", {}).get("slot_on_deck") or "")
+            if slot:
+                out[slot] = nid
+    return out
+
+
+def _edges_to(graph, target_id: str) -> List[Dict[str, Any]]:
+    return [e for e in graph.edges if e["target"] == target_id]
+
+
+def _edges_from(graph, source_id: str) -> List[Dict[str, Any]]:
+    return [e for e in graph.edges if e["source"] == source_id]
+
+
+# ==================== fixture：构造跨板 labware + steps ====================
+
+
+def _cross_slot_labware_info() -> Dict[str, Dict[str, Any]]:
+    """51b9a5 简化：slot1 source + slot2/3/5/6 target plates + slot12 tip。"""
+    return {
+        "l1": {
+            "slot": 1,
+            "well": ["A1"],
+            "labware": "nest_12_reservoir_15ml",
+            "object": "source",
+        },
+        "plate_slot2": {
+            "slot": 2,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        },
+        "plate_slot3": {
+            "slot": 3,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        },
+        "plate_slot5": {
+            "slot": 5,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        },
+        "plate_slot6": {
+            "slot": 6,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        },
+        "tiprack_12": {
+            "slot": 12,
+            "well": [],
+            "labware": "opentrons_96_tiprack_300ul",
+            "object": "tiprack",
+        },
+    }
+
+
+def _cross_slot_protocol_steps(targets: List[str], dis_vols: List[float]) -> List[Dict[str, Any]]:
+    return [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "l1",
+                "targets": targets,
+                "tip_racks": "tiprack_12",
+                "asp_vols": dis_vols.copy(),
+                "dis_vols": dis_vols.copy(),
+            },
+            "step_number": 1,
+        }
+    ]
+
+
+# ==================== 用例 ====================
+
+
+def test_emit_merged_set_liquid_basic():
+    """51b9a5 主场景：targets=[A,B,C,D] → 1 merged set_liquid 节点
+    + 4 条入边（来自 4 个 distinct create_resource）+ 1 条出边（去 transfer_liquid）。
+    """
+    targets = ["plate_slot2", "plate_slot3", "plate_slot5", "plate_slot6"]
+    dis_vols = [8.3, 8.3, 8.3, 8.3]
+    g = build_protocol_graph(
+        labware_info=_cross_slot_labware_info(),
+        protocol_steps=_cross_slot_protocol_steps(targets, dis_vols),
+        workstation_name="PRCXI",
+    )
+
+    set_liquid_nodes = _nodes_by_template(g, "set_liquid_from_plate")
+    merged_nodes = [n for n in set_liquid_nodes if str(n.get("name", "")).startswith("_merged_targets_")]
+    assert len(merged_nodes) == 1, (
+        f"应有且仅有 1 个 merged set_liquid_from_plate 节点（v2 跨板聚合器）;"
+        f" 实际找到 {len(merged_nodes)}: {[n.get('name') for n in merged_nodes]}"
+    )
+    merged = merged_nodes[0]
+    merged_id = merged["id"]
+
+    # param.wells：长度 4，每元素的 parent 是对应 reagent_key
+    wells = merged.get("param", {}).get("wells") or []
+    assert len(wells) == 4
+    assert [w["parent"] for w in wells] == targets, "merged.wells 顺序必须严格按 targets 列表"
+    # well 字段映射到 reagent.well[0]（都是 "A1"）
+    for w, key in zip(wells, targets):
+        assert w["id"].endswith("/A1"), f"well id 应包含 well 名: {w}"
+        assert w["parent"] == key
+
+    # 入边：4 条来自 distinct create_resource 节点（slot 2/3/5/6），target_port=wells_identifier
+    cr_by_slot = _create_resource_by_slot(g)
+    in_edges = _edges_to(g, merged_id)
+    in_sources = {e["source"] for e in in_edges if e.get("target_handle_key") == "wells_identifier"}
+    expected_sources = {cr_by_slot[s] for s in ("2", "3", "5", "6")}
+    assert in_sources == expected_sources, (
+        f"merged 节点应接收 4 个 distinct create_resource 的 wells_identifier 边;"
+        f" 实际 {in_sources} vs 期望 {expected_sources}"
+    )
+
+    # 出边：1 条到 transfer_liquid（targets_identifier）
+    transfer_nodes = _nodes_by_template(g, "transfer_liquid")
+    assert len(transfer_nodes) == 1
+    transfer_id = transfer_nodes[0]["id"]
+    out_to_transfer = [
+        e for e in _edges_from(g, merged_id)
+        if e["target"] == transfer_id and e.get("target_handle_key") == "targets_identifier"
+    ]
+    assert len(out_to_transfer) == 1, (
+        f"merged 节点应向 transfer_liquid.targets_identifier 发出唯一 1 条边;"
+        f" 实际 {len(out_to_transfer)}"
+    )
+
+
+def test_emit_merged_set_liquid_repeat_key():
+    """同 reagent_key 重复（同板多孔）：targets=[A,A,A] + reagent.A.well=[A1,A2,A3]
+    → merged.wells 顺序 = [A/A1, A/A2, A/A3]（cursor 推进取每个 well）。
+    """
+    labware = _cross_slot_labware_info()
+    labware["plate_slot2"]["well"] = ["A1", "A2", "A3"]
+
+    targets = ["plate_slot2", "plate_slot2", "plate_slot2"]
+    dis_vols = [10.0, 20.0, 30.0]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=_cross_slot_protocol_steps(targets, dis_vols),
+        workstation_name="PRCXI",
+    )
+
+    merged_nodes = [
+        n for n in _nodes_by_template(g, "set_liquid_from_plate")
+        if str(n.get("name", "")).startswith("_merged_targets_")
+    ]
+    assert len(merged_nodes) == 1
+    wells = merged_nodes[0]["param"]["wells"]
+    assert [w["id"].rsplit("/", 1)[-1] for w in wells] == ["A1", "A2", "A3"], (
+        "cursor 应依次取 reagent.A.well[0/1/2]"
+    )
+    assert all(w["parent"] == "plate_slot2" for w in wells)
+
+
+def test_emit_merged_set_liquid_mixed():
+    """跨板 + 同板重复：targets=[A,B,A,C] + reagent.A.well=[A1,A2]
+    → merged.wells = [A/A1, B/A1, A/A2, C/A1]。
+    """
+    labware = _cross_slot_labware_info()
+    labware["plate_slot2"]["well"] = ["A1", "A2"]
+
+    targets = ["plate_slot2", "plate_slot3", "plate_slot2", "plate_slot5"]
+    dis_vols = [10.0, 20.0, 30.0, 40.0]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=_cross_slot_protocol_steps(targets, dis_vols),
+        workstation_name="PRCXI",
+    )
+
+    merged_nodes = [
+        n for n in _nodes_by_template(g, "set_liquid_from_plate")
+        if str(n.get("name", "")).startswith("_merged_targets_")
+    ]
+    assert len(merged_nodes) == 1
+    wells = merged_nodes[0]["param"]["wells"]
+    ids = [(w["parent"], w["id"].rsplit("/", 1)[-1]) for w in wells]
+    assert ids == [
+        ("plate_slot2", "A1"),
+        ("plate_slot3", "A1"),
+        ("plate_slot2", "A2"),
+        ("plate_slot5", "A1"),
+    ]
+
+
+def test_emit_merged_set_liquid_8ch():
+    """与 P1 multi-channel 复合：targets=[A]*8+[B]*8（每列 8 通道）。
+
+    merged.wells 长度 16，前 8 全 plate_slot2 的 8 个 well，后 8 全 plate_slot3 的 8 个 well。
+    """
+    labware = _cross_slot_labware_info()
+    # 8 通道场景 reagent.well 已被 P1 multi 展开为长度 8
+    labware["plate_slot2"]["well"] = [f"{r}1" for r in "ABCDEFGH"]
+    labware["plate_slot3"]["well"] = [f"{r}1" for r in "ABCDEFGH"]
+
+    targets = ["plate_slot2"] * 8 + ["plate_slot3"] * 8
+    dis_vols = [5.0] * 16
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=_cross_slot_protocol_steps(targets, dis_vols),
+        workstation_name="PRCXI",
+    )
+
+    merged_nodes = [
+        n for n in _nodes_by_template(g, "set_liquid_from_plate")
+        if str(n.get("name", "")).startswith("_merged_targets_")
+    ]
+    assert len(merged_nodes) == 1
+    wells = merged_nodes[0]["param"]["wells"]
+    assert len(wells) == 16
+    # 前 8 全 plate_slot2，后 8 全 plate_slot3（满足 cross-slot × 8ch 列对齐约束）
+    assert all(w["parent"] == "plate_slot2" for w in wells[:8])
+    assert all(w["parent"] == "plate_slot3" for w in wells[8:])
+    # well 名顺序：A1..H1 重复两遍
+    assert [w["id"].rsplit("/", 1)[-1] for w in wells[:8]] == [f"{r}1" for r in "ABCDEFGH"]
+    assert [w["id"].rsplit("/", 1)[-1] for w in wells[8:]] == [f"{r}1" for r in "ABCDEFGH"]
+
+
+def test_transfer_liquid_targets_rewrite():
+    """transfer_liquid 节点改写后只剩 1 条 targets_identifier 入边；params.targets 不再是 list。"""
+    targets = ["plate_slot2", "plate_slot3", "plate_slot5", "plate_slot6"]
+    dis_vols = [8.3, 8.3, 8.3, 8.3]
+    g = build_protocol_graph(
+        labware_info=_cross_slot_labware_info(),
+        protocol_steps=_cross_slot_protocol_steps(targets, dis_vols),
+        workstation_name="PRCXI",
+    )
+
+    transfer_nodes = _nodes_by_template(g, "transfer_liquid")
+    assert len(transfer_nodes) == 1
+    tnode = transfer_nodes[0]
+    transfer_id = tnode["id"]
+
+    # params.targets：v2 中 list 形态在 INPUT_PORT_MAPPING 处理后被清空（[]）或为单字符串
+    # （不再是原始 list[str]——避免下游 runtime 对其再做无序聚合）
+    tparams = tnode.get("param", {}) or {}
+    assert not isinstance(tparams.get("targets"), list) or tparams.get("targets") == [], (
+        f"v2：params.targets 不再是非空 list；实际 {tparams.get('targets')!r}"
+    )
+
+    # targets_identifier 端口：只有 1 条入边
+    in_targets_edges = [
+        e for e in _edges_to(g, transfer_id)
+        if e.get("target_handle_key") == "targets_identifier"
+    ]
+    assert len(in_targets_edges) == 1, (
+        f"v2：transfer_liquid.targets_identifier 必须是单入边（来自 merged set_liquid）;"
+        f" 实际 {len(in_targets_edges)}"
+    )
+
+    # 这条入边的源端口必须是 output_wells
+    edge = in_targets_edges[0]
+    assert edge.get("source_handle_key") == "output_wells"
+
+
+def test_str_targets_no_merged_node_emitted():
+    """对照组：targets 为 str（单 reagent） → 不插入 merged set_liquid_from_plate 节点。
+
+    保证 v2 改造**只**对 list 形态触发，单 reagent 走 P3 原有 per-plate set_liquid 路径。
+    """
+    labware = _cross_slot_labware_info()
+    labware["plate_slot2"]["well"] = ["A1", "A2", "A3"]
+
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "l1",
+                "targets": "plate_slot2",         # ← 单 str，非 list
+                "tip_racks": "tiprack_12",
+                "asp_vols": [8.3, 8.3, 8.3],
+                "dis_vols": [8.3, 8.3, 8.3],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+    merged_nodes = [
+        n for n in _nodes_by_template(g, "set_liquid_from_plate")
+        if str(n.get("name", "")).startswith("_merged_targets_")
+    ]
+    assert merged_nodes == [], "str 形态 targets 不应触发 v2 merged 聚合节点"

tests/workflow/test_common_liquid_name_from_reagent.py

@@ -0,0 +1,452 @@
+"""P8 — Stage 3 (``workflow/common.py``) 写入 ``set_liquid_from_plate.param.liquid_names`` 时
+优先取 ``reagent[key].liquid_name``，缺省时 fallback 到 reagent_key。
+
+对应 ``product_designs/protocol_convert/08-liquid-name-from-reagent-block.md`` §3.4 + §5。
+
+设计要点
+--------
+- ``reagent[key].liquid_name`` 是 P8 新增的**可选**字段，承载真实化学名（与 reagent_key
+  解耦：reagent_key 仍是数据流引用名 / 业务别名，``liquid_name`` 是写入 PLR tracker /
+  前端的 human-readable 名称）。
+- ``liquid_name`` 来源优先级：Stage 0 mock ``Well.load_liquid(liquid=...)`` 实参 >
+  README 语义词 > 不写（Stage 3 fallback 到 reagent_key）。
+- ``liquid_name`` 保留空格 / 中文 / 括号等原字符，**不**做 snake_case / underscore 替换。
+- 旧 JSON（无 ``liquid_name`` 字段）行为完全不变（设计点 §7.A）。
+
+测试用例
+--------
+- ``test_per_plate_fallback_when_no_liquid_name`` —— 缺省 fallback：
+  reagent 块无 ``liquid_name`` → liquid_names[i] == reagent_key（与 P8 前一致）。
+- ``test_per_plate_uses_explicit_liquid_name`` —— 显式 liquid_name：
+  liquid_names[i] == "EDTA Plasma"。
+- ``test_per_plate_preserves_spaces_and_special_chars`` —— 含空格 / 括号：
+  liquid_names[i] 不被 ``replace(" ", "_")`` 处理（不同于 reagent_key 用的 res_id）。
+- ``test_merged_node_uses_explicit_liquid_name_per_dispense`` —— merged 节点
+  每个 dispense 独立取 ``liquid_name or key``，部分有部分无能共存。
+- ``test_liquid_name_independent_of_reagent_key_normalization`` —— 与 P4 共存：
+  reagent_key 仍是 ``samples_2`` 等去重后缀，但 liquid_names 写的是真实化学名。
+"""
+from __future__ import annotations
+
+import sys
+import types
+from pathlib import Path
+from typing import Any, Dict, List
+
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+
+def _install_fake_optional_deps() -> None:
+    """与 test_common_set_liquid_dedup.py 一致的可选依赖 stub。"""
+    if "matplotlib" not in sys.modules:
+        sys.modules["matplotlib"] = types.ModuleType("matplotlib")
+    if "matplotlib.pyplot" not in sys.modules:
+        sys.modules["matplotlib.pyplot"] = types.ModuleType("matplotlib.pyplot")
+    try:
+        from networkx.drawing import nx_agraph  # noqa: F401
+    except Exception:
+        nx_drawing = types.ModuleType("networkx.drawing")
+        nx_agraph_mod = types.ModuleType("networkx.drawing.nx_agraph")
+        nx_agraph_mod.to_agraph = lambda _g: None  # type: ignore[attr-defined]
+        nx_drawing.nx_agraph = nx_agraph_mod  # type: ignore[attr-defined]
+        sys.modules["networkx.drawing"] = nx_drawing
+        sys.modules["networkx.drawing.nx_agraph"] = nx_agraph_mod
+
+
+_install_fake_optional_deps()
+
+import pytest  # noqa: E402
+
+from unilabos.workflow.common import build_protocol_graph  # noqa: E402
+
+
+# ==================== 辅助 ====================
+
+
+def _set_liquid_nodes(graph) -> List[Dict[str, Any]]:
+    return [
+        {"id": nid, **node}
+        for nid, node in graph.nodes.items()
+        if node.get("template_name") == "set_liquid_from_plate"
+    ]
+
+
+def _per_plate_for(graph, reagent_key: str) -> Dict[str, Any]:
+    """根据 ``description = "Set liquid: <reagent_key>"`` 反查 per-plate 节点。"""
+    for n in _set_liquid_nodes(graph):
+        if n.get("description") == f"Set liquid: {reagent_key}":
+            return n
+    raise AssertionError(f"未找到 per-plate set_liquid_from_plate(reagent_key={reagent_key!r})")
+
+
+def _merged_nodes(graph) -> List[Dict[str, Any]]:
+    return [
+        n for n in _set_liquid_nodes(graph)
+        if str(n.get("name", "")).startswith("_merged_targets_")
+    ]
+
+
+def _make_source_target_labware(
+    *,
+    source_key: str = "src_1",
+    source_liquid_name: str | None = None,
+    target_keys: List[str] | None = None,
+    target_liquid_names: Dict[str, str] | None = None,
+) -> Dict[str, Dict[str, Any]]:
+    """构造 1 个 source + N 个 target reagent + 1 个 tip rack。
+
+    ``*_liquid_name`` 为 None / 缺省时**不**写入 ``liquid_name`` 字段，
+    模拟旧 schema / mock 未给 liquid_name 的真实回归场景。
+    """
+    info: Dict[str, Dict[str, Any]] = {}
+    source_entry: Dict[str, Any] = {
+        "slot": 1,
+        "well": ["A1"],
+        "labware": "nest_12_reservoir_15ml",
+        "object": "source",
+    }
+    if source_liquid_name is not None:
+        source_entry["liquid_name"] = source_liquid_name
+    info[source_key] = source_entry
+
+    target_keys = target_keys or ["t_A"]
+    target_liquid_names = target_liquid_names or {}
+    for i, tk in enumerate(target_keys, start=1):
+        entry: Dict[str, Any] = {
+            "slot": 2 + i,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        }
+        if tk in target_liquid_names:
+            entry["liquid_name"] = target_liquid_names[tk]
+        info[tk] = entry
+
+    info["tiprack_12"] = {
+        "slot": 12,
+        "well": [],
+        "labware": "opentrons_96_tiprack_300ul",
+        "object": "tiprack",
+    }
+    return info
+
+
+# ==================== T1 缺省 fallback ====================
+
+
+def test_per_plate_fallback_when_no_liquid_name():
+    """reagent block 无 ``liquid_name`` 字段 → liquid_names[i] == reagent_key（P8 前行为）。"""
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        target_keys=["t_A"],
+        # 都不给 liquid_name
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    src_node = _per_plate_for(g, "src_1")
+    tgt_node = _per_plate_for(g, "t_A")
+    assert src_node["param"]["liquid_names"] == ["src_1"], (
+        f"无 liquid_name 时 source per-plate 应 fallback 到 reagent_key；"
+        f" 实际 {src_node['param']['liquid_names']}"
+    )
+    assert tgt_node["param"]["liquid_names"] == ["t_A"], (
+        f"无 liquid_name 时 target per-plate 应 fallback 到 reagent_key；"
+        f" 实际 {tgt_node['param']['liquid_names']}"
+    )
+
+
+# ==================== T2 显式 liquid_name ====================
+
+
+def test_per_plate_uses_explicit_liquid_name():
+    """reagent block 含 ``liquid_name`` → liquid_names[i] 用该值（不是 reagent_key）。"""
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        source_liquid_name="EDTA Plasma",
+        target_keys=["t_A"],
+        target_liquid_names={"t_A": "PBS Diluent"},
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    src_node = _per_plate_for(g, "src_1")
+    tgt_node = _per_plate_for(g, "t_A")
+    assert src_node["param"]["liquid_names"] == ["EDTA Plasma"], (
+        f"source per-plate 应使用 reagent.liquid_name；实际 {src_node['param']['liquid_names']}"
+    )
+    assert tgt_node["param"]["liquid_names"] == ["PBS Diluent"], (
+        f"target per-plate 应使用 reagent.liquid_name；实际 {tgt_node['param']['liquid_names']}"
+    )
+
+
+# ==================== T3 空格 / 括号 ====================
+
+
+def test_per_plate_preserves_spaces_and_special_chars():
+    """``liquid_name`` 保留空格 / 括号 / 中文等原字符，不被 replace(' ', '_') 处理。
+
+    这条与 reagent_key 走 ``res_id = str(labware_id).replace(' ', '_')`` 的语义不同。
+    """
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        source_liquid_name="Tris HCl pH 8.0 (1×)",
+        target_keys=["t_A"],
+        target_liquid_names={"t_A": "稀释液 A"},
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    src_node = _per_plate_for(g, "src_1")
+    tgt_node = _per_plate_for(g, "t_A")
+
+    assert src_node["param"]["liquid_names"] == ["Tris HCl pH 8.0 (1×)"], (
+        f"空格 / 括号应原样保留；实际 {src_node['param']['liquid_names']}"
+    )
+    assert tgt_node["param"]["liquid_names"] == ["稀释液 A"], (
+        f"中文应原样保留；实际 {tgt_node['param']['liquid_names']}"
+    )
+
+    # reagent_key 自身仍受 ``res_id = replace(' ', '_')`` 影响，
+    # 但本测试 reagent_key 不含空格，故 sl_node_title 仍以 reagent_key 为根。
+    # 这里仅断言 liquid_names 字段独立于 reagent_key normalize。
+
+
+# ==================== T4 merged 节点跨板部分有部分无 ====================
+
+
+def test_merged_node_uses_explicit_liquid_name_per_dispense():
+    """merged 节点 ``liquid_names`` 与 list-targets 同长，每个元素独立取
+    ``reagent[key].liquid_name or key``：本例 3 个 target，2 个有显式名、1 个无。
+    """
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        target_keys=["t_A", "t_B", "t_C"],
+        target_liquid_names={
+            "t_A": "Plasma",
+            # t_B 无 liquid_name
+            "t_C": "Buffer X",
+        },
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": ["t_A", "t_B", "t_C"],
+                "tip_racks": "tiprack_12",
+                "asp_vols": [5.0] * 3,
+                "dis_vols": [5.0] * 3,
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    merged = _merged_nodes(g)
+    assert len(merged) == 1, f"应有 1 个 merged 节点，实际 {len(merged)}"
+    liquid_names = merged[0]["param"]["liquid_names"]
+    assert liquid_names == ["Plasma", "t_B", "Buffer X"], (
+        f"merged 每 dispense 独立取 liquid_name or key；实际 {liquid_names}"
+    )
+
+
+# ==================== T5 与 P4 reagent_key 后缀共存 ====================
+
+
+def test_liquid_name_independent_of_reagent_key_normalization():
+    """P4 命名链产生 ``samples_2`` 这种带后缀的 reagent_key（跨板去重）；
+    P8 ``liquid_name`` 应保持原始化学名，**不**带 P4 的去重后缀。
+
+    构造：2 个 target reagent_keys ``samples`` / ``samples_2``（不同 slot，
+    模拟跨板同液体被 Stage 2 去重），都标 liquid_name="Bacterial Culture"。
+    """
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        target_keys=["samples", "samples_2"],
+        target_liquid_names={
+            "samples": "Bacterial Culture",
+            "samples_2": "Bacterial Culture",
+        },
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": ["samples", "samples_2"],
+                "tip_racks": "tiprack_12",
+                "asp_vols": [5.0, 5.0],
+                "dis_vols": [5.0, 5.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    merged = _merged_nodes(g)
+    assert len(merged) == 1
+    liquid_names = merged[0]["param"]["liquid_names"]
+    assert liquid_names == ["Bacterial Culture", "Bacterial Culture"], (
+        f"P8 liquid_name 应与 P4 reagent_key 后缀解耦：同液体的两个 reagent_key 应得相同"
+        f" liquid_name；实际 {liquid_names}"
+    )
+    # 同时 reagent_key 仍是 samples / samples_2（不变）
+    wells = merged[0]["param"]["wells"]
+    parents = [w["parent"] for w in wells]
+    assert parents == ["samples", "samples_2"], (
+        f"merged wells.parent 应等于 list-targets reagent_keys；实际 {parents}"
+    )
+
+
+# ==================== T6 source per-plate / target per-plate 同步生效 ====================
+
+
+def test_both_source_and_target_per_plate_use_liquid_name():
+    """str-targets 路径（无 merged）下，source 和 target 都走 per-plate emit，
+    各自独立取 ``liquid_name``。"""
+    labware = _make_source_target_labware(
+        source_key="src_1",
+        source_liquid_name="Reagent A",
+        target_keys=["t_A"],
+        target_liquid_names={"t_A": "Reagent B"},
+    )
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",  # str-targets，不触发 merged
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    assert _merged_nodes(g) == [], "str-targets 不应产生 merged 节点"
+    src_node = _per_plate_for(g, "src_1")
+    tgt_node = _per_plate_for(g, "t_A")
+    assert src_node["param"]["liquid_names"] == ["Reagent A"]
+    assert tgt_node["param"]["liquid_names"] == ["Reagent B"]
+
+
+# ==================== T7 多孔同 reagent → 整列 liquid_names 一致 ====================
+
+
+def test_multi_well_reagent_replicates_liquid_name():
+    """1 个 reagent 含 8 wells（multi-channel 扩展场景）→ liquid_names 应是
+    ``[liquid_name] * 8``，与 wells 长度一致。"""
+    labware: Dict[str, Dict[str, Any]] = {
+        "src_1": {
+            "slot": 1,
+            "well": ["A1", "B1", "C1", "D1", "E1", "F1", "G1", "H1"],
+            "labware": "nest_96_wellplate_100ul_pcr_full_skirt",
+            "object": "source",
+            "liquid_name": "Mastermix",
+        },
+        "t_A": {
+            "slot": 3,
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        },
+        "tiprack_12": {
+            "slot": 12,
+            "well": [],
+            "labware": "opentrons_96_tiprack_300ul",
+            "object": "tiprack",
+        },
+    }
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    src_node = _per_plate_for(g, "src_1")
+    liquid_names = src_node["param"]["liquid_names"]
+    assert liquid_names == ["Mastermix"] * 8, (
+        f"per-plate 应把 liquid_name 复制 well_count 份；实际 {liquid_names}"
+    )
+    # 同时 wells / volumes 长度一致
+    assert len(src_node["param"]["wells"]) == 8
+    assert len(src_node["param"]["volumes"]) == 8

tests/workflow/test_common_plate_num_children_hint.py

@@ -0,0 +1,174 @@
+"""P6 §17 hint bug —— `_infer_plate_num_children_from_labware_hint` 误把
+reagent_id 末尾数字（如 ``samples_6`` 的 ``_6``）当作孔板规格，导致
+``_apply_target_labware_class_auto_match`` fallback 到 PRCXI 4-孔 trough 模板。
+
+跨板 fix（P2 v2 §14）把 plate name 作为 prefix 编码进 ``well_names`` 之后，
+runtime 调用 ``plate.get_well("A5")`` 严格定位 well，trough plate 上不存在
+``A5`` 会直接 IndexError，使得这个隐藏多年的孔数推断 bug 浮出。
+
+修复策略（方案 A）
+-----
+hint 只用 ``item.get("labware", "")``，**不再**拼上 ``labware_id``（reagent_key
+是业务名，不应参与孔板规格推断）。
+
+测试矩阵
+----
+- ``test_reagent_key_numeric_suffix_must_not_match_hint`` —— samples_6 / samples_24 /
+  samples_96 + nunc_rectangular_agar_plate → hint 返回 None（labware string 不带孔数信息）。
+- ``test_labware_string_X_well_correctly_inferred`` —— labware="nest_96_wellplate..." → 96；
+  "custom_384_wellplate" → 384；"nest_24_wellplate_2ml_pcr" → 24。
+- ``test_apply_does_not_classify_samples_6_as_trough`` —— 集成：构造 Agar Plating-like
+  reagent block（slot 8 上 12 个 samples_X，X 末尾含 6/24/96），跑
+  ``_apply_target_labware_class_auto_match`` 后，samples_6/24 不再得到 trough class。
+- ``test_real_labware_96_wellplate_still_inferred_via_labware_str`` —— 即便 labware_id
+  与孔数无关，``nest_96_wellplate_100ul_pcr_full_skirt`` 这种 labware 命名仍应被识别为 96。
+"""
+from __future__ import annotations
+
+import sys
+import types
+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))
+
+
+def _install_fake_optional_deps() -> None:
+    if "matplotlib" not in sys.modules:
+        sys.modules["matplotlib"] = types.ModuleType("matplotlib")
+    if "matplotlib.pyplot" not in sys.modules:
+        sys.modules["matplotlib.pyplot"] = types.ModuleType("matplotlib.pyplot")
+
+
+_install_fake_optional_deps()
+
+import pytest  # noqa: E402
+
+from unilabos.workflow.common import (  # noqa: E402
+    _apply_target_labware_class_auto_match,
+    _infer_plate_num_children_from_labware_hint,
+    _reconcile_slot_carrier_target_class,
+)
+
+
+# ==================== unit：hint 函数本身 ====================
+
+
+@pytest.mark.parametrize(
+    "labware_id",
+    ["samples_6", "samples_24", "samples_96", "samples_12", "samples_48"],
+)
+def test_reagent_key_numeric_suffix_must_not_match_hint(labware_id):
+    """reagent_id 末尾的孔数关键字数字不应被识别为孔板规格。"""
+    item = {
+        "slot": 8,
+        "well": ["A5"],
+        "labware": "nunc_rectangular_agar_plate",
+        "object": "target",
+    }
+    assert _infer_plate_num_children_from_labware_hint(labware_id, item) is None, (
+        f"reagent_id {labware_id!r} 不应被识别为孔板规格 "
+        f"（其末尾数字应当被忽略；labware string 不含 96/384/etc 关键字）"
+    )
+
+
+@pytest.mark.parametrize(
+    "labware_str,expected",
+    [
+        ("nest_96_wellplate_100ul_pcr_full_skirt", 96),
+        ("custom_384_wellplate", 384),
+        ("nest_24_wellplate_2ml_pcr", 24),
+        ("custom_48_wellplate", 48),
+        ("opentrons_12_wellplate_15ml", 12),
+        ("nest_6_wellplate_5ml", 6),
+        ("nunc_rectangular_agar_plate", None),
+        ("", None),
+    ],
+)
+def test_labware_string_well_count_inferred(labware_str, expected):
+    item = {"labware": labware_str}
+    assert (
+        _infer_plate_num_children_from_labware_hint("samples", item) == expected
+    ), f"labware {labware_str!r} 应推断为 {expected!r}"
+
+
+# ==================== integration：模拟 Agar Plating ====================
+
+
+def _agar_plating_reagent_block():
+    """反推自 unilabos_data/req_workflow_upload.json：12 列 × 9 reagent per step。
+
+    slot 8 (mapped 14) 上 12 个 reagent_keys: samples_6, samples_15, samples_24,
+    samples_33, samples_42, samples_51, samples_60, samples_69, samples_78,
+    samples_87, samples_96, samples_105.
+    """
+    info = {}
+    slot_for_idx = {0: 3, 1: 4, 2: 5, 3: 6, 4: 7, 5: 8, 6: 9, 7: 10, 8: 11}
+    cols = [f"A{i + 1}" for i in range(12)]
+    for col_i, col in enumerate(cols):
+        for di in range(9):
+            n = col_i * 9 + di + 1
+            key = "samples" if n == 1 else f"samples_{n}"
+            info[key] = {
+                "slot": slot_for_idx[di],
+                "well": [col],
+                "labware": "nunc_rectangular_agar_plate",
+                "object": "target",
+            }
+    for i in range(12):
+        key = "sources" if i == 0 else f"sources_{i + 1}"
+        info[key] = {
+            "slot": 2,
+            "well": [cols[i]],
+            "labware": "nest_96_wellplate_100ul_pcr_full_skirt",
+            "object": "source",
+        }
+    info["tiprack_1"] = {
+        "slot": 1,
+        "well": None,
+        "labware": "opentrons_96_tiprack_10ul",
+        "object": "tiprack",
+    }
+    info["trash"] = {
+        "slot": 12,
+        "well": None,
+        "labware": "opentrons_1_trash_1100ml_fixed",
+        "object": "trash",
+    }
+    return info
+
+
+def test_apply_does_not_classify_samples_6_as_trough():
+    """集成回归：Agar Plating-like reagent block 跑完类匹配 + slot 统一后，
+    slot 8 上 12 个 reagent 不应得到 4-孔 trough class。"""
+    info = _agar_plating_reagent_block()
+    _apply_target_labware_class_auto_match(
+        info, preserve_tip_rack_incoming_class=True, target_device="prcxi"
+    )
+    _reconcile_slot_carrier_target_class(
+        info, preserve_tip_rack_incoming_class=True, target_device="prcxi"
+    )
+    slot8_keys = [
+        "samples_6", "samples_15", "samples_24", "samples_33",
+        "samples_42", "samples_51", "samples_60", "samples_69",
+        "samples_78", "samples_87", "samples_96", "samples_105",
+    ]
+    for k in slot8_keys:
+        cls = info[k].get("target_class_name") or ""
+        assert "trough" not in cls.lower(), (
+            f"reagent {k} 被误识别为 trough class: {cls!r}；"
+            "这通常是 hint 误把 reagent_id 末尾数字当孔板规格"
+        )
+
+
+def test_real_labware_96_wellplate_still_inferred_via_labware_str():
+    """labware string 含 96_wellplate 时应该正常识别为 96，不被 fix 破坏。"""
+    item = {
+        "slot": 2,
+        "well": ["A1"],
+        "labware": "nest_96_wellplate_100ul_pcr_full_skirt",
+        "object": "source",
+    }
+    assert _infer_plate_num_children_from_labware_hint("sources", item) == 96

tests/workflow/test_common_set_liquid_dedup.py

@@ -0,0 +1,379 @@
+"""P2 v2 §14 set_liquid_from_plate 去重 —— Stage 3 (`workflow/common.py`) 集成测试。
+
+对应 ``product_designs/protocol_convert/02-cross-slot-merge.md`` §14（2026-05-22 plan）。
+
+§14 设计要点
+-----------------
+当 ``transfer_liquid.params.targets`` 是 ``list[str]`` 时，``_emit_merged_set_liquid``
+已经为该 transfer 插入一个 merged ``set_liquid_from_plate`` 节点，
+其 ``param.wells`` 聚合了 list 中所有 reagent_keys 的跨板 wells。
+
+§14 之前：第二步循环（``for labware_id, item in labware_info.items()``）仍然为
+list-targets 中出现的每个 reagent_key 创建一个 per-plate ``set_liquid_from_plate`` 节点，
+导致**节点冗余**（per-plate 节点的 ``output_wells`` 对 transfer_liquid 的
+``targets_identifier`` 边毫无贡献 —— transfer_liquid 单边只接 merged 节点）。
+
+§14 改造：在第二步循环**之前**预扫描 protocol_steps，收集
+``set_liquid_covered_by_merged: Set[str]``（出现在某个 list[str] targets 中的所有 keys）
+与 ``set_liquid_referenced_by_str: Set[str]``（出现在 str targets 中的所有 keys）。
+循环内对 ``object="target"`` 且 ``key ∈ covered ∧ key ∉ referenced_by_str`` 的 reagent_key
+**跳过** per-plate 节点创建。
+
+测试用例
+----
+- ``test_per_plate_skipped_when_covered_by_merged`` —— list-targets 覆盖的
+  target reagent_keys 不再产生 per-plate set_liquid_from_plate。
+- ``test_per_plate_kept_when_also_referenced_by_str_targets`` —— R1 缓解：
+  同时被 list-targets 和 str-targets 引用的 reagent_key 仍保留 per-plate。
+- ``test_str_targets_protocol_unaffected`` —— 单 slot 协议（仅 str-targets）
+  节点数完全不变（回归防护）。
+- ``test_51b9a5_style_node_count`` —— 12 list-targets × len=9 大规模场景：
+  set_liquid_from_plate 总节点数 = source per-plate + merged + 0 target per-plate。
+- ``test_source_per_plate_always_kept`` —— source 端不受 §14 影响：source
+  reagent_keys 不出现在 targets 字段中，per-plate 节点恒在。
+"""
+from __future__ import annotations
+
+import sys
+import types
+from pathlib import Path
+from typing import Any, Dict, List
+
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+
+def _install_fake_optional_deps() -> None:
+    """与 test_common_cross_slot_v2.py 一致的可选依赖 stub。"""
+    if "matplotlib" not in sys.modules:
+        sys.modules["matplotlib"] = types.ModuleType("matplotlib")
+    if "matplotlib.pyplot" not in sys.modules:
+        sys.modules["matplotlib.pyplot"] = types.ModuleType("matplotlib.pyplot")
+    try:
+        from networkx.drawing import nx_agraph  # noqa: F401
+    except Exception:
+        nx_drawing = types.ModuleType("networkx.drawing")
+        nx_agraph_mod = types.ModuleType("networkx.drawing.nx_agraph")
+        nx_agraph_mod.to_agraph = lambda _g: None  # type: ignore[attr-defined]
+        nx_drawing.nx_agraph = nx_agraph_mod  # type: ignore[attr-defined]
+        sys.modules["networkx.drawing"] = nx_drawing
+        sys.modules["networkx.drawing.nx_agraph"] = nx_agraph_mod
+
+
+_install_fake_optional_deps()
+
+import pytest  # noqa: E402
+
+from unilabos.workflow.common import build_protocol_graph  # noqa: E402
+
+
+# ==================== 辅助 ====================
+
+
+def _nodes_by_template(graph, template_name: str) -> List[Dict[str, Any]]:
+    return [
+        {"id": nid, **node}
+        for nid, node in graph.nodes.items()
+        if node.get("template_name") == template_name
+    ]
+
+
+def _set_liquid_nodes_split(graph):
+    """返回 (per_plate_nodes, merged_nodes)。merged 节点 name 以 `_merged_targets_` 开头。"""
+    all_sl = _nodes_by_template(graph, "set_liquid_from_plate")
+    merged = [n for n in all_sl if str(n.get("name", "")).startswith("_merged_targets_")]
+    per_plate = [n for n in all_sl if not str(n.get("name", "")).startswith("_merged_targets_")]
+    return per_plate, merged
+
+
+def _labware_with_targets(target_keys: List[str], source_keys: List[str] | None = None) -> Dict[str, Dict[str, Any]]:
+    """构造 labware_info：source 端 1 个 + 任意数量 target plates + tip rack。"""
+    info: Dict[str, Dict[str, Any]] = {}
+    source_keys = source_keys or ["src_1"]
+    for i, sk in enumerate(source_keys, start=1):
+        info[sk] = {
+            "slot": 1 + i - 1,  # slot 1 占位（实际可能映射）
+            "well": ["A1"],
+            "labware": "nest_12_reservoir_15ml",
+            "object": "source",
+        }
+    for i, tk in enumerate(target_keys, start=1):
+        info[tk] = {
+            "slot": 2 + i,  # 错开 source 使用的 slot
+            "well": ["A1"],
+            "labware": "nest_96_wellplate_2ml_deep",
+            "object": "target",
+        }
+    info["tiprack_12"] = {
+        "slot": 12,
+        "well": [],
+        "labware": "opentrons_96_tiprack_300ul",
+        "object": "tiprack",
+    }
+    return info
+
+
+# ==================== 用例 ====================
+
+
+def test_per_plate_skipped_when_covered_by_merged():
+    """单 list-targets transfer 覆盖 4 个 target reagent_keys → per-plate 不再出现。"""
+    targets = ["t_A", "t_B", "t_C", "t_D"]
+    labware = _labware_with_targets(targets, source_keys=["src_1"])
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": targets,
+                "tip_racks": "tiprack_12",
+                "asp_vols": [8.0] * 4,
+                "dis_vols": [8.0] * 4,
+            },
+            "step_number": 1,
+        }
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    per_plate, merged = _set_liquid_nodes_split(g)
+
+    # merged 节点：1 个
+    assert len(merged) == 1, f"应有 1 个 merged 节点；实际 {len(merged)}"
+
+    # per-plate 节点：仅 source 1 个（src_1）；target 端被全部跳过
+    per_plate_names = {n.get("description", "") for n in per_plate}
+    per_plate_keys = {
+        n.get("description", "").replace("Set liquid: ", "")
+        for n in per_plate
+    }
+    assert "src_1" in per_plate_keys, "source 端 per-plate 必须保留"
+    for tk in targets:
+        assert tk not in per_plate_keys, (
+            f"§14：target reagent_key '{tk}' 已被 merged 覆盖，不应再有 per-plate 节点；"
+            f" 实际 per_plate_keys={per_plate_keys}"
+        )
+
+
+def test_per_plate_kept_when_also_referenced_by_str_targets():
+    """R1 缓解：t_A 既被 list-targets 引用，又被 str-targets 引用 → per-plate 必须保留。"""
+    targets_list = ["t_A", "t_B", "t_C"]
+    labware = _labware_with_targets(targets_list, source_keys=["src_1"])
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": targets_list,
+                "tip_racks": "tiprack_12",
+                "asp_vols": [5.0] * 3,
+                "dis_vols": [5.0] * 3,
+            },
+            "step_number": 1,
+        },
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 2,
+        },
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    per_plate, merged = _set_liquid_nodes_split(g)
+    per_plate_keys = {
+        n.get("description", "").replace("Set liquid: ", "")
+        for n in per_plate
+    }
+
+    assert "t_A" in per_plate_keys, (
+        f"R1：t_A 被 str transfer #2 引用，必须保留 per-plate 节点；"
+        f" 实际 per_plate_keys={per_plate_keys}"
+    )
+    assert "t_B" not in per_plate_keys, "t_B 仅出现在 list-targets，应跳过"
+    assert "t_C" not in per_plate_keys, "t_C 仅出现在 list-targets，应跳过"
+
+    # merged 节点数：1（仅 list-targets transfer #1 生成）
+    assert len(merged) == 1
+
+
+def test_str_targets_protocol_unaffected():
+    """单 slot 协议（全 str-targets）→ 每个 target reagent_key 仍有 per-plate（零回归）。"""
+    labware = _labware_with_targets(["t_A", "t_B"], source_keys=["src_1"])
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 1,
+        },
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_1",
+                "targets": "t_B",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [20.0],
+                "dis_vols": [20.0],
+            },
+            "step_number": 2,
+        },
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    per_plate, merged = _set_liquid_nodes_split(g)
+    per_plate_keys = {
+        n.get("description", "").replace("Set liquid: ", "")
+        for n in per_plate
+    }
+
+    assert merged == [], "全 str-targets 协议不应触发 merged 节点"
+    assert {"src_1", "t_A", "t_B"}.issubset(per_plate_keys), (
+        f"单 slot 协议每个 reagent_key（含 source/target）都应保留 per-plate；"
+        f" 实际 {per_plate_keys}"
+    )
+
+
+def test_51b9a5_style_node_count():
+    """大规模场景：N 个 list-targets transfers，每个长度 M（同 source 不同跨板）。
+
+    构造：2 个 source（src_A1、src_A2）+ 9 个 target plates × 2 个 well = 18 target reagent_keys。
+    2 个 transfer：
+      - transfer #1: targets = [t_A1_1, t_A1_2, ..., t_A1_9]（同 source src_A1，跨 9 plate）
+      - transfer #2: targets = [t_A2_1, t_A2_2, ..., t_A2_9]（同 source src_A2，跨 9 plate）
+
+    期望 set_liquid_from_plate 总节点数 = 2 source per-plate + 2 merged + 0 target per-plate = 4。
+    """
+    target_keys_a1 = [f"t_A1_{i}" for i in range(1, 10)]
+    target_keys_a2 = [f"t_A2_{i}" for i in range(1, 10)]
+    all_target_keys = target_keys_a1 + target_keys_a2
+
+    labware = _labware_with_targets(
+        all_target_keys,
+        source_keys=["src_A1", "src_A2"],
+    )
+
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_A1",
+                "targets": target_keys_a1,
+                "tip_racks": "tiprack_12",
+                "asp_vols": [8.3] * 9,
+                "dis_vols": [8.3] * 9,
+            },
+            "step_number": 1,
+        },
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_A2",
+                "targets": target_keys_a2,
+                "tip_racks": "tiprack_12",
+                "asp_vols": [8.3] * 9,
+                "dis_vols": [8.3] * 9,
+            },
+            "step_number": 2,
+        },
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    per_plate, merged = _set_liquid_nodes_split(g)
+
+    assert len(merged) == 2, f"应有 2 个 merged 节点；实际 {len(merged)}"
+
+    per_plate_keys = {
+        n.get("description", "").replace("Set liquid: ", "")
+        for n in per_plate
+    }
+
+    # source 端：2 个 per-plate
+    assert "src_A1" in per_plate_keys and "src_A2" in per_plate_keys, (
+        f"source 端必须有 src_A1 + src_A2 per-plate；实际 {per_plate_keys}"
+    )
+
+    # target 端：18 个全部被跳过
+    for tk in all_target_keys:
+        assert tk not in per_plate_keys, (
+            f"§14：target reagent_key '{tk}' 应被 merged 覆盖并跳过；"
+            f" 实际 per_plate_keys 包含 {tk}"
+        )
+
+    # 总节点数 == 2 + 2
+    assert len(per_plate) + len(merged) == 4, (
+        f"set_liquid_from_plate 总节点数应为 4 (2 source + 2 merged + 0 target per-plate);"
+        f" 实际 per_plate={len(per_plate)} merged={len(merged)}"
+    )
+
+
+def test_source_per_plate_always_kept():
+    """source reagent_keys 不出现在任何 targets 字段中 → per-plate 节点恒保留（与 §14 无关）。"""
+    target_keys = ["t_A", "t_B", "t_C"]
+    labware = _labware_with_targets(target_keys, source_keys=["src_X", "src_Y"])
+
+    steps = [
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_X",
+                "targets": target_keys,
+                "tip_racks": "tiprack_12",
+                "asp_vols": [5.0] * 3,
+                "dis_vols": [5.0] * 3,
+            },
+            "step_number": 1,
+        },
+        {
+            "action": "transfer_liquid",
+            "parameters": {
+                "sources": "src_Y",
+                "targets": "t_A",
+                "tip_racks": "tiprack_12",
+                "asp_vols": [10.0],
+                "dis_vols": [10.0],
+            },
+            "step_number": 2,
+        },
+    ]
+    g = build_protocol_graph(
+        labware_info=labware,
+        protocol_steps=steps,
+        workstation_name="PRCXI",
+    )
+
+    per_plate, _ = _set_liquid_nodes_split(g)
+    per_plate_keys = {
+        n.get("description", "").replace("Set liquid: ", "")
+        for n in per_plate
+    }
+
+    assert "src_X" in per_plate_keys, "source src_X 必须有 per-plate（source 不会被 §14 跳过）"
+    assert "src_Y" in per_plate_keys, "source src_Y 必须有 per-plate"

tests/workflow/test_labware_mapping.py

@@ -0,0 +1,534 @@
+"""P6 / P6.1 / P6.1.1 `labware_mapping.py` 单元测试 —— 对应 06-labware-mapping-table.md §11.7.7 / §11.8.7。
+
+这些用例只依赖 `unilabos.workflow.labware_mapping` 自身与 PyYAML，
+不需要 ROS2 / matplotlib / networkx 等环境，可直接 `pytest tests/workflow/test_labware_mapping.py`。
+
+P6.1.1 schema（v1.9）：
+- 顶层 key 两段：``kinds`` / ``target_devices``（**P6.1.1 起顶层 `slot_remap` 已不支持**，下沉到 ``target_devices.<device>`` 内）
+- ``target_devices.default`` 是固定段名，作为兜底物料集，第一版按 prcxi 拷贝填充，**不支持 `models` 子段**
+- ``target_devices.<device>.models.<model>`` 是可选的型号粒度覆盖（slot_remap / rules）
+- 旧 schema（顶层 ``vendors`` / ``slot_remap`` 或 rule 含 ``prcxi_class``）会触发 warning + fallback 到 builtin
+"""
+from __future__ import annotations
+
+import sys
+import warnings
+from pathlib import Path
+
+import pytest
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+from unilabos.workflow import labware_mapping as lm
+
+
+@pytest.fixture(autouse=True)
+def _reset_lru_cache():
+    """每个用例后清缓存，避免 monkeypatch 跨用例污染。"""
+    yield
+    lm.reload_mapping()
+
+
+# ==================== slot_remap ====================
+
+
+@pytest.mark.parametrize(
+    "raw,object_type,want",
+    [
+        ("4", "", "13"),
+        ("8", "", "14"),
+        ("12", "trash", "16"),
+        ("12", "source", "12"),
+        ("1", "", "1"),
+        ("", "", ""),
+        (4, "", "13"),  # 非字符串入参也应规整
+    ],
+)
+def test_remap_slot_basic(raw, object_type, want):
+    assert lm.remap_slot(raw, object_type) == want
+
+
+def test_remap_slot_none_returns_empty():
+    assert lm.remap_slot(None) == ""
+
+
+def test_remap_slot_passthrough_unknown():
+    assert lm.remap_slot("99") == "99"
+
+
+# ==================== infer_kind ====================
+
+
+def test_infer_kind_trash_priority():
+    """`trash` 在 kinds 列表第 1 条 → 优先于含 'rack' 的字符串。"""
+    assert lm.infer_kind("foo_trash_bar") == "trash"
+    assert lm.infer_kind("opentrons_fixed_trash") == "trash"
+
+
+def test_infer_kind_tiprack_before_tuberack():
+    """`tiprack` 子串包含 'rack'，但应被 tip_rack 规则先抓到（顺序敏感）。"""
+    assert lm.infer_kind("opentrons_96_tiprack_300ul") == "tip_rack"
+    assert lm.infer_kind("opentrons_96_tiprack_20ul") == "tip_rack"
+
+
+def test_infer_kind_tube_rack_variants():
+    assert (
+        lm.infer_kind("opentrons_24_tuberack_eppendorf_2ml_safelock_snapcap")
+        == "tube_rack"
+    )
+    assert lm.infer_kind("opentrons_10_tuberack_falcon_4x50ml_6x15ml_conical") == "tube_rack"
+
+
+def test_infer_kind_object_overrides_string():
+    """object 字段优先：即使字符串看起来像 plate，trash / tiprack 也能强制归类。"""
+    assert lm.infer_kind("anything_at_all", "tiprack") == "tip_rack"
+    assert lm.infer_kind("opentrons_96_wellplate", "trash") == "trash"
+
+
+def test_infer_kind_default_plate():
+    assert lm.infer_kind("opentrons_96_wellplate_300ul_pcr") == "plate"
+    assert lm.infer_kind("custom_384_wellplate_2200ul") == "plate"
+
+
+def test_infer_kind_rack_without_tip_is_tube_rack():
+    """复现历史 `_infer_reagent_kind` 中「含 rack 不含 tip → tube_rack」的语义。"""
+    assert lm.infer_kind("nest_4x6_rack") == "tube_rack"
+
+
+def test_infer_kind_empty_hint_returns_plate():
+    assert lm.infer_kind("") == "plate"
+    assert lm.infer_kind(None) == "plate"  # type: ignore[arg-type]
+
+
+# ==================== resolve_target_class（target_device="prcxi"） ====================
+
+
+@pytest.mark.parametrize(
+    "vol,want",
+    [
+        (1, "PRCXI_10uL_Tips"),
+        (9, "PRCXI_10uL_Tips"),
+        (10, "PRCXI_10uL_Tips"),  # 闭区间 ≤10
+        (11, "PRCXI_300ul_Tips"),
+        (200, "PRCXI_300ul_Tips"),
+        (299.9, "PRCXI_300ul_Tips"),
+        (300, "PRCXI_1000uL_Tips"),  # 300 上一档（与 <300 半开等价）
+        (500, "PRCXI_1000uL_Tips"),
+        (1000, "PRCXI_1000uL_Tips"),
+    ],
+)
+def test_resolve_tip_volume_buckets(vol, want):
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, vol) == want
+
+
+def test_resolve_tube_rack_holes():
+    assert lm.resolve_target_class("prcxi", "tube_rack", 24, None) == "PRCXI_EP_Adapter"
+    assert lm.resolve_target_class("prcxi", "tube_rack", 10, None) == "PRCXI_EP_Adapter"
+
+
+def test_resolve_plate_holes():
+    assert lm.resolve_target_class("prcxi", "plate", 96, None) == "PRCXI_BioER_96_wellplate"
+    assert (
+        lm.resolve_target_class("prcxi", "plate", 384, None) == "PRCXI_BioER_384_wellplate"
+    )
+
+
+def test_resolve_plate_unknown_holes_returns_none():
+    """48 孔板未在 YAML 列出 → None；交给 PRCXI 模板打分匹配 fallback。"""
+    assert lm.resolve_target_class("prcxi", "plate", 48, 2200) is None
+
+
+def test_resolve_trash_any():
+    assert lm.resolve_target_class("prcxi", "trash", None, None) == "PRCXI_trash"
+    # trash 规则未约束 hole_count / volume，所以任意值都命中
+    assert lm.resolve_target_class("prcxi", "trash", 0, 0) == "PRCXI_trash"
+
+
+# ==================== YAML 缺失 / 热加载 ====================
+
+
+def test_missing_yaml_uses_builtin(monkeypatch, tmp_path):
+    """YAML 文件不存在时，应自动落到 `_BUILTIN_DEFAULT`，且打 warning。"""
+    bogus = tmp_path / "no_such_labware_mapping.yaml"
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", bogus)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        assert lm.remap_slot("4") == "13"
+        assert (
+            lm.resolve_target_class("prcxi", "plate", 96, None)
+            == "PRCXI_BioER_96_wellplate"
+        )
+    assert any("labware_mapping.yaml 未找到" in str(w.message) for w in caught)
+
+
+def test_invalid_yaml_uses_builtin(monkeypatch, tmp_path):
+    """YAML 解析失败也应回退到 builtin，且打 warning。"""
+    bad = tmp_path / "labware_mapping.yaml"
+    bad.write_text("this is :: not valid: yaml: [unclosed", encoding="utf-8")
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", bad)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        assert lm.remap_slot("4") == "13"
+    assert any(
+        "labware_mapping.yaml 解析失败" in str(w.message)
+        or "labware_mapping.yaml 根不是 dict" in str(w.message)
+        for w in caught
+    )
+
+
+def test_yaml_reload_after_edit(monkeypatch, tmp_path):
+    """临时 YAML 覆盖 + reload_mapping → 新规则生效，且原规则失效（P6.1.1 schema）。"""
+    tmp_yaml = tmp_path / "labware_mapping.yaml"
+    tmp_yaml.write_text(
+        'kinds:\n'
+        "  - { pattern: 'trash', kind: trash }\n"
+        "  - { pattern: '.*',    kind: plate }\n"
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap:\n'
+        '      default: {"4": "99"}\n'
+        '      by_object: {}\n'
+        '    rules:\n'
+        "      - { kind: plate, hole_count: 96, class_name: PRCXI_FooPlate }\n"
+        '  prcxi:\n'
+        '    slot_remap:\n'
+        '      default: {"4": "99"}\n'
+        '      by_object: {}\n'
+        '    rules:\n'
+        "      - { kind: plate, hole_count: 96, class_name: PRCXI_FooPlate }\n",
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", tmp_yaml)
+    lm.reload_mapping()
+    assert lm.remap_slot("4") == "99"
+    assert lm.resolve_target_class("prcxi", "plate", 96, None) == "PRCXI_FooPlate"
+    # 新表里只有 96，没有 384 → None
+    assert lm.resolve_target_class("prcxi", "plate", 384, None) is None
+    # tube_rack / tip_rack 在新表里没规则 → None
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 200) is None
+
+
+def test_missing_section_uses_builtin(monkeypatch, tmp_path):
+    """YAML 缺 `kinds` 段 → 该段使用 builtin，其它段保留用户值（P6.1.1 schema）。"""
+    partial = tmp_path / "labware_mapping.yaml"
+    partial.write_text(
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap:\n'
+        '      default: {"4": "88"}\n'
+        '      by_object: {}\n'
+        '    rules: []\n'
+        '  prcxi:\n'
+        '    slot_remap:\n'
+        '      default: {"4": "88"}\n'
+        '      by_object: {}\n'
+        '    rules: []\n',  # 故意没有 kinds 段
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", partial)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        # slot_remap 用 YAML 中的覆盖值
+        assert lm.remap_slot("4") == "88"
+        # kinds 段缺失 → 使用 builtin 的 tiprack 规则
+        assert lm.infer_kind("opentrons_96_tiprack_300ul") == "tip_rack"
+    assert any("缺少 `kinds` 段" in str(w.message) for w in caught)
+
+
+# ==================== P6.1 新增用例 ====================
+
+
+def test_resolve_target_class_prcxi_tip_buckets():
+    """PRCXI tip 量程档：≤10 / <300 / 否则 1000（与历史 _tip_prcxi_class_for_max_ul 等价）。"""
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 10) == "PRCXI_10uL_Tips"
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 200) == "PRCXI_300ul_Tips"
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 1000) == "PRCXI_1000uL_Tips"
+
+
+def test_resolve_target_class_unknown_device_falls_back_to_default_section():
+    """未声明的 target_device 自动回退到固定段 target_devices.default，打 warning。
+    第一版 default 段内容按 prcxi 拷贝 → 断言：caller 传 'tecan' 时，结果应等于查 default 段。"""
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        # tecan / beckman / 任意未声明名字 → 全部回退到固定段 "default"
+        assert (
+            lm.resolve_target_class("tecan", "tip_rack", 96, 200)
+            == lm.resolve_target_class("default", "tip_rack", 96, 200)
+            == "PRCXI_300ul_Tips"   # 第一版 default 段按 prcxi 填，所以值仍是 PRCXI_*
+        )
+        assert (
+            lm.resolve_target_class("unknown_xxx", "plate", 96, None)
+            == lm.resolve_target_class("default", "plate", 96, None)
+        )
+    # 至少打 1 次 warning，提示「未声明、已回退到 default 段」
+    assert any(
+        ("未在 labware_mapping.yaml" in str(w.message))
+        or ("target_devices.default" in str(w.message))
+        for w in caught
+    )
+
+
+def test_resolve_target_class_per_device_tip_buckets(tmp_path, monkeypatch):
+    """**P6.1 核心断言**：不同 target_device 在同一体积下命中不同 tip 量程档（P6.1.1 schema）。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96,                    class_name: PRCXI_1000uL_Tips}\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 10,    class_name: PRCXI_10uL_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 299.9, class_name: PRCXI_300ul_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96,                    class_name: PRCXI_1000uL_Tips}\n'
+        '  beckman:\n'
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules:\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 20,    class_name: Beckman_20uL_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96, volume_max: 199.9, class_name: Beckman_200uL_Tips}\n'
+        '      - {kind: tip_rack, hole_count: 96,                    class_name: Beckman_1000uL_Tips}\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+
+    # 同样的体积 200：prcxi 走 300 档、beckman 已超出 200 档 → 1000 档
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 200) == "PRCXI_300ul_Tips"
+    assert lm.resolve_target_class("beckman", "tip_rack", 96, 200) == "Beckman_1000uL_Tips"
+    # 同样的体积 15：prcxi 已超出 10 档 → 300 档；beckman 仍在 20 档
+    assert lm.resolve_target_class("prcxi", "tip_rack", 96, 15) == "PRCXI_300ul_Tips"
+    assert lm.resolve_target_class("beckman", "tip_rack", 96, 15) == "Beckman_20uL_Tips"
+
+
+def test_default_section_independent_from_prcxi(tmp_path, monkeypatch):
+    """default 与 prcxi 是两段独立物料集：改 default 不影响 prcxi、改 prcxi 不影响 default。
+
+    断言：把 default 段改成 Generic_Plate96，prcxi 段保持 PRCXI_Plate96 时，
+    caller 传未声明的名字回退到 default 拿 Generic_Plate96，传 prcxi 仍拿 PRCXI_Plate96。
+    """
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'                                                         # ← 独立改 default 段
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules:\n'
+        '      - {kind: plate, hole_count: 96, class_name: Generic_Plate96}\n'
+        '  prcxi:\n'                                                           # ← prcxi 段保持 PRCXI_*
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules:\n'
+        '      - {kind: plate, hole_count: 96, class_name: PRCXI_Plate96}\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+
+    # caller 传未声明的 tecan → 走 default 段 → Generic_*
+    assert lm.resolve_target_class("tecan", "plate", 96, None) == "Generic_Plate96"
+    # caller 显式传 prcxi → 走 prcxi 段 → PRCXI_*（**不**受 default 影响）
+    assert lm.resolve_target_class("prcxi", "plate", 96, None) == "PRCXI_Plate96"
+    # 显式传 "default" 也合法（caller 可主动选择走 default 段）
+    assert lm.resolve_target_class("default", "plate", 96, None) == "Generic_Plate96"
+
+
+def test_legacy_yaml_schema_rejected_with_warning(tmp_path, monkeypatch):
+    """旧 schema（vendors / prcxi_class）应被拒绝 + warning + 整段 fallback 到 builtin（P6.1.1 schema）。"""
+    legacy = tmp_path / "labware_mapping.yaml"
+    legacy.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'vendors:\n'                                                       # ← 旧顶层 key
+        '  opentrons:\n'
+        '    rules:\n'
+        "      - {kind: plate, hole_count: 96, prcxi_class: PRCXI_FooPlate}\n",  # ← 旧字段
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", legacy)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        # 整段走 builtin → 96 板还是 PRCXI_BioER_96_wellplate（**不是**用户旧 YAML 中的 PRCXI_FooPlate）
+        assert lm.resolve_target_class("prcxi", "plate", 96, None) == "PRCXI_BioER_96_wellplate"
+    assert any(
+        ("旧 schema" in str(w.message))
+        or ("vendors" in str(w.message))
+        or ("prcxi_class" in str(w.message))
+        for w in caught
+    )
+
+
+def test_resolve_target_class_unknown_kind_returns_none():
+    """target_device 存在、kind 不存在 → None。"""
+    assert lm.resolve_target_class("prcxi", "reservoir", 12, None) is None
+
+
+# ==================== P6.1.1 新增用例（slot_remap 按 device + model 分叉） ====================
+
+
+def test_remap_slot_model_level_overrides_device_level(tmp_path, monkeypatch):
+    """型号级 slot_remap 优先级 > 厂商级。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {trash: {"12": "16"}}}\n'
+        '    rules: []\n'
+        '    models:\n'
+        '      "4040":\n'
+        '        slot_remap: {default: {"4": "16"}, by_object: {}}\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+    # device 级（不传 model）→ "13"
+    assert lm.remap_slot("4", target_device="prcxi") == "13"
+    # model "4040" 覆盖 → "16"
+    assert lm.remap_slot("4", target_device="prcxi", target_model="4040") == "16"
+    # model "9320" 未声明 → 静默 fallback 到 device 级 → "13"
+    assert lm.remap_slot("4", target_device="prcxi", target_model="9320") == "13"
+
+
+def test_remap_slot_model_inherits_device_when_field_missing(tmp_path, monkeypatch):
+    """model 子段声明但 slot_remap 字段缺失 → 静默继承厂商级；rules 同理。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {}, by_object: {}}\n'
+        '    rules: []\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13", "8": "14"}, by_object: {}}\n'
+        '    rules: [{kind: plate, hole_count: 96, class_name: PRCXI_PlateA}]\n'
+        '    models:\n'
+        '      "9320":\n'
+        '        rules: [{kind: plate, hole_count: 96, class_name: PRCXI_PlateB}]\n',  # 仅覆盖 rules，未声明 slot_remap
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+    # model 9320 的 slot_remap 缺字段 → 继承 prcxi.slot_remap → "4" → "13"
+    assert lm.remap_slot("4", target_device="prcxi", target_model="9320") == "13"
+    # model 9320 的 rules 覆盖 → PRCXI_PlateB
+    assert (
+        lm.resolve_target_class("prcxi", "plate", 96, None, target_model="9320")
+        == "PRCXI_PlateB"
+    )
+    # 不传 model → 用厂商级 rules → PRCXI_PlateA
+    assert lm.resolve_target_class("prcxi", "plate", 96, None) == "PRCXI_PlateA"
+
+
+def test_legacy_top_level_slot_remap_rejected(tmp_path, monkeypatch):
+    """P6.1.1：顶层 slot_remap 段被视为旧 schema → warning + 整段 fallback 到 builtin。"""
+    legacy = tmp_path / "labware_mapping.yaml"
+    legacy.write_text(
+        'slot_remap:\n'                      # ← P6.1.1 已不支持的顶层段
+        '  default: {"4": "99"}\n'
+        '  by_object: {}\n'
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", legacy)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        # 整段走 builtin → "4" 仍然 → "13"（builtin 值），**不是** YAML 顶层的 "99"
+        assert lm.remap_slot("4", target_device="prcxi") == "13"
+    assert any(
+        ("顶层" in str(w.message) and "slot_remap" in str(w.message))
+        or ("旧 schema" in str(w.message))
+        for w in caught
+    )
+
+
+def test_remap_slot_unknown_device_falls_back_with_warning(tmp_path, monkeypatch):
+    """未声明的 target_device → fallback 到 default.slot_remap + warning（与 resolve_target_class 同语义）。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        assert lm.remap_slot("4", target_device="tecan") == "13"  # fallback 到 default
+    assert any(
+        ("tecan" in str(w.message)) or ("target_devices.default" in str(w.message))
+        for w in caught
+    )
+
+
+def test_remap_slot_model_only_no_device_passthrough(tmp_path, monkeypatch):
+    """caller 传 target_model 但 target_device 段不存在 → 直接走 default.slot_remap（model 名忽略）。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n',                          # 没有 prcxi 段
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm.reload_mapping()
+    with warnings.catch_warnings(record=True):
+        warnings.simplefilter("always")
+        # target_device "prcxi" 不存在、target_model 即使传也忽略 → 走 default
+        assert lm.remap_slot("4", target_device="prcxi", target_model="9320") == "13"
+
+
+def test_default_section_models_subsection_warns(tmp_path, monkeypatch):
+    """target_devices.default.models 不被支持 → warning，但 default.slot_remap 仍生效。"""
+    yaml_path = tmp_path / "labware_mapping.yaml"
+    yaml_path.write_text(
+        'kinds: [{pattern: ".*", kind: plate}]\n'
+        'target_devices:\n'
+        '  default:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n'
+        '    models:\n'                              # ← default 段不支持 models
+        '      "ghost":\n'
+        '        slot_remap: {default: {"4": "99"}, by_object: {}}\n'
+        '  prcxi:\n'
+        '    slot_remap: {default: {"4": "13"}, by_object: {}}\n'
+        '    rules: []\n',
+        encoding="utf-8",
+    )
+    monkeypatch.setattr(lm, "_DEFAULT_PATH", yaml_path)
+    lm._load_mapping.cache_clear()
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        # default 段的 models 被忽略 → 走 default.slot_remap → "13"（不是 "99"）
+        assert lm.remap_slot("4", target_device="tecan", target_model="ghost") == "13"
+    assert any(
+        ("default" in str(w.message) and "models" in str(w.message))
+        for w in caught
+    )

tests/workflow/test_wf_utils_workflow_name.py

@@ -0,0 +1,178 @@
+"""``unilabos.workflow.wf_utils.upload_workflow`` 工作流名称 fallback 链单元测试。
+
+对应需求：上传工作流时，**优先取 metadata.workflow_name**；缺失时再回退到顶层
+``workflow_name``（旧 node-link 形态遗留字段）；最后才回退到文件名（去 ``.json`` 后缀）。
+CLI 显式 ``-n/--workflow_name`` 永远最优先。
+
+本测试只校验「**名称 fallback 链 + tags fallback 链**」的纯逻辑路径，
+不实际访问 HTTP / 后端；通过 monkeypatch 把 ``http_client.workflow_import``
+桩成可观察的捕获函数。
+"""
+from __future__ import annotations
+
+import json
+import sys
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+import pytest
+
+
+# 让 import 走 Uni-Lab-OS 包根
+ROOT = Path(__file__).resolve().parents[2]
+SRC = ROOT / "unilabos"
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+@pytest.fixture
+def stub_upload(monkeypatch, tmp_path):
+    """Monkeypatch ``http_client.workflow_import`` + ``_convert_to_node_link``，
+    返回 (helper, captured) 二元组：
+
+    - ``helper(workflow_data, **upload_kwargs)`` 写入 tmp_path/wf.json
+      并调用 ``upload_workflow``；
+    - ``captured`` 是 dict，记录 ``workflow_import`` 实际收到的 kwargs，
+      以及 ``_convert_to_node_link`` 是否被调过。
+
+    本测试不依赖真实 ``unilabos.app.web``（其级联依赖含 ``fastapi`` 等重型
+    package，本地 dev venv 不必装）。通过在 sys.modules 注入空壳 module 拦截
+    delayed import。
+    """
+    import types
+
+    captured: Dict[str, Any] = {"workflow_import_kwargs": None, "converted": False}
+
+    def fake_workflow_import(**kwargs):  # noqa: ANN003
+        captured["workflow_import_kwargs"] = kwargs
+        return {"code": 0, "data": {"uuid": "fake-uuid", "name": kwargs.get("name")}}
+
+    # 关键：在 wf_utils 触发 `from unilabos.app.web import http_client` 之前
+    # 用空壳 module 占位（避免触发真实 web 包的 fastapi 依赖链）。
+    fake_http_client = types.ModuleType("unilabos.app.web.http_client")
+    fake_http_client.workflow_import = fake_workflow_import  # type: ignore[attr-defined]
+    fake_web_pkg = types.ModuleType("unilabos.app.web")
+    fake_web_pkg.http_client = fake_http_client  # type: ignore[attr-defined]
+    monkeypatch.setitem(sys.modules, "unilabos.app.web", fake_web_pkg)
+    monkeypatch.setitem(sys.modules, "unilabos.app.web.http_client", fake_http_client)
+
+    from unilabos.workflow import wf_utils
+
+    # _convert_to_node_link 走真实路径会拉重型依赖，这里桩为 node-link 直返回
+    def fake_convert_to_node_link(workflow_file, workflow_data, *, target_device="prcxi", target_model=None):
+        captured["converted"] = True
+        # 返回最小合法 node-link 形态（不带 metadata，模拟当前行为）
+        return {"nodes": [], "edges": [], "workflow_uuid": ""}
+
+    monkeypatch.setattr(wf_utils, "_convert_to_node_link", fake_convert_to_node_link)
+
+    def helper(workflow_data: Dict[str, Any], **upload_kwargs: Any) -> Dict[str, Any]:
+        wf_path = tmp_path / "transfer_actions_sample.json"
+        wf_path.write_text(json.dumps(workflow_data, ensure_ascii=False), encoding="utf-8")
+        return wf_utils.upload_workflow(str(wf_path), **upload_kwargs)
+
+    return helper, captured
+
+
+# ==================== workflow_name fallback 链 ====================
+
+
+def test_metadata_workflow_name_wins_over_filename(stub_upload):
+    """P5 主路径：transfer_actions JSON 含 metadata.workflow_name → 优先于文件名。"""
+    helper, captured = stub_upload
+    data = {
+        "metadata": {"workflow_name": "PCR Prep with Categories", "tags": []},
+        "workflow": [],
+        "reagent": {},
+    }
+    helper(data)
+    kwargs = captured["workflow_import_kwargs"]
+    assert kwargs is not None and captured["converted"] is True
+    assert kwargs["name"] == "PCR Prep with Categories"
+    assert kwargs["workflow_name"] == "PCR Prep with Categories"
+
+
+def test_cli_workflow_name_overrides_metadata(stub_upload):
+    """CLI 显式 -n/--workflow_name 永远最优先。"""
+    helper, captured = stub_upload
+    data = {
+        "metadata": {"workflow_name": "Metadata Wins By Default"},
+        "workflow": [],
+        "reagent": {},
+    }
+    helper(data, workflow_name="CLI Override Name")
+    kwargs = captured["workflow_import_kwargs"]
+    assert kwargs["name"] == "CLI Override Name"
+    assert kwargs["workflow_name"] == "CLI Override Name"
+
+
+def test_filename_used_when_no_metadata_and_no_legacy(stub_upload):
+    """P5 之前的旧文件、且无顶层 workflow_name → 回退到去 .json 后缀的文件名。"""
+    helper, captured = stub_upload
+    data = {"workflow": [], "reagent": {}}  # 既无 metadata，也无 workflow_name
+    helper(data)
+    kwargs = captured["workflow_import_kwargs"]
+    # 文件名由 fixture 固定为 transfer_actions_sample.json
+    assert kwargs["name"] == "transfer_actions_sample"
+    assert kwargs["workflow_name"] == "transfer_actions_sample"
+
+
+def test_metadata_empty_string_falls_back_to_filename(stub_upload):
+    """metadata.workflow_name 为空字符串（而非缺失）也应回退到文件名。"""
+    helper, captured = stub_upload
+    data = {
+        "metadata": {"workflow_name": "   "},  # whitespace-only
+        "workflow": [],
+        "reagent": {},
+    }
+    helper(data)
+    kwargs = captured["workflow_import_kwargs"]
+    assert kwargs["name"] == "transfer_actions_sample"
+
+
+def test_legacy_top_level_workflow_name_used_when_metadata_missing(stub_upload, monkeypatch):
+    """旧 node-link 文件（已是 nodes/edges 形态）顶层 workflow_name → 应被使用。
+
+    覆盖路径：``_is_node_link_format`` 直接命中 → 不走转换 → workflow_data 保留顶层
+    workflow_name；``orig_metadata`` 为空时 fallback 到该字段。
+    """
+    helper, captured = stub_upload
+    data = {
+        "nodes": [],
+        "edges": [],
+        "workflow_name": "Legacy Top Name",
+    }
+    helper(data)
+    kwargs = captured["workflow_import_kwargs"]
+    assert captured["converted"] is False, "node-link 输入不应触发转换"
+    assert kwargs["name"] == "Legacy Top Name"
+    assert kwargs["workflow_name"] == "Legacy Top Name"
+
+
+# ==================== tags fallback 链 ====================
+
+
+def test_metadata_tags_used_when_cli_tags_missing(stub_upload):
+    """P5 主路径：metadata.tags 在 CLI 未传 tags 时被使用。"""
+    helper, captured = stub_upload
+    data = {
+        "metadata": {"workflow_name": "X", "tags": ["Opentrons", "PCR"]},
+        "workflow": [],
+        "reagent": {},
+    }
+    helper(data)
+    kwargs = captured["workflow_import_kwargs"]
+    assert kwargs["tags"] == ["Opentrons", "PCR"]
+
+
+def test_cli_tags_override_metadata_tags(stub_upload):
+    """CLI 显式 --tags 优先于 metadata.tags。"""
+    helper, captured = stub_upload
+    data = {
+        "metadata": {"workflow_name": "X", "tags": ["Opentrons", "PCR"]},
+        "workflow": [],
+        "reagent": {},
+    }
+    helper(data, tags=["CLI", "Wins"])
+    kwargs = captured["workflow_import_kwargs"]
+    assert kwargs["tags"] == ["CLI", "Wins"]

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.12"
+__version__ = "0.11.1"

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/main.py

@@ -1,25 +1,119 @@
 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
 
+# Windows 中文系统 stdout 默认 GBK，无法编码 banner / emoji 日志中的 Unicode 字符
+# 强制 stdout/stderr 用 UTF-8，避免 print 触发 UnicodeEncodeError 导致进程崩溃
+if sys.platform == "win32":
+    for _stream in (sys.stdout, sys.stderr):
+        try:
+            _stream.reconfigure(encoding="utf-8", errors="replace")  # type: ignore[attr-defined]
+        except (AttributeError, OSError):
+            pass
+
 # 首先添加项目根目录到路径
 current_dir = os.path.dirname(os.path.abspath(__file__))
 unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
 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 +135,7 @@ 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 +143,8 @@ 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 +154,13 @@ 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 +242,7 @@ def parse_args():
     parser.add_argument(
         "--addr",
         type=str,
-        default="https://uni-lab.bohrium.com/api/v1",
+        default="https://leap-lab.bohrium.com/api/v1",
         help="Laboratory backend address",
     )
     parser.add_argument(
@@ -147,11 +250,112 @@ 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",
+    )
+    workflow_parser.add_argument(
+        "--target_device",
+        type=str,
+        default="prcxi",
+        help=(
+            "Target instrument name at vendor granularity (e.g. 'prcxi', 'beckman', 'tecan'). "
+            "Decides which target_devices.<name>.rules section in labware_mapping.yaml is used. "
+            "Unknown names fall back to target_devices.default. Default: 'prcxi'."
+        ),
+    )
+    workflow_parser.add_argument(
+        "--target_model",
+        type=str,
+        default=None,
+        help=(
+            "Optional target instrument model name within the same vendor (e.g. '9320', '4040'). "
+            "Used to look up target_devices.<target_device>.models.<target_model>.slot_remap / "
+            ".rules for model-specific deck layout or rule overrides. Falls back to the vendor-level "
+            "configuration when omitted or the model is not declared. Default: None."
+        ),
     )
     return parser
 
@@ -159,78 +363,120 @@ 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, working_dir=working_dir)
+    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}")
 
-    if args_dict["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_dict["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_dict["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:
-        HTTPConfig.remote_addr = args_dict.get("addr", "")
+    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://leap-lab.test.bohrium.com/api/v1"
+        elif args.addr == "uat":
+            print_status("使用uat环境地址", "info")
+            HTTPConfig.remote_addr = "https://leap-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:
+            HTTPConfig.remote_addr = args.addr
 
     # 设置BasicConfig参数
     if args_dict.get("ak", ""):
@@ -239,9 +485,12 @@ 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
 
@@ -254,40 +503,87 @@ def main():
 
     BasicConfig.port = args_dict["port"] if args_dict["port"] else BasicConfig.port
     BasicConfig.disable_browser = args_dict["disable_browser"] or BasicConfig.disable_browser
-    BasicConfig.working_dir = working_dir
     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")
+        print_status("后续运行必须拥有一个实验室，请前往 https://leap-lab.bohrium.com 注册实验室！", "warning")
         os._exit(1)
     graph: nx.Graph
     resource_tree_set: ResourceTreeSet
@@ -327,6 +623,10 @@ 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 = [
@@ -351,31 +651,21 @@ 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:
@@ -390,6 +680,7 @@ 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)
@@ -431,16 +722,13 @@ 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
@@ -448,16 +736,26 @@ def main():
                 time.sleep(1)
         else:
             start_backend(**args_dict)
-            start_server(
+            restart_requested = start_server(
                 open_browser=not args_dict["disable_browser"],
                 port=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=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

@@ -54,6 +54,7 @@ class JobAddReq(BaseModel):
     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="")

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

@@ -1052,7 +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()
@@ -1340,5 +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
@@ -36,6 +36,9 @@ class HTTPClient:
             auth_secret = BasicConfig.auth_secret()
             self.auth = auth_secret
             info(f"正在使用ak sk作为授权信息：[{auth_secret}]")
+        # 复用 TCP/TLS 连接，避免每次请求重新握手
+        self._session = requests.Session()
+        self._session.headers.update({"Authorization": f"Lab {self.auth}"})
         info(f"HTTPClient 初始化完成: remote_addr={self.remote_addr}")
 
     def resource_edge_add(self, resources: List[Dict[str, Any]]) -> requests.Response:
@@ -48,7 +51,7 @@ class HTTPClient:
         Returns:
             Response: API响应对象
         """
-        response = requests.post(
+        response = self._session.post(
             f"{self.remote_addr}/edge/material/edge",
             json={
                 "edges": resources,
@@ -75,24 +78,28 @@ class HTTPClient:
         Returns:
             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))
-        # 从序列化数据中提取所有节点的UUID（保存旧UUID）
+        # dump() 只调用一次，复用给文件保存和 HTTP 请求
+        nodes_info = [x for xs in resources.dump() for x in xs]
         old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
+        payload = {"nodes": nodes_info, "mount_uuid": mount_uuid}
+        body_bytes = _fast_dumps(payload)
+        with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "wb") as f:
+            f.write(_fast_dumps_pretty(payload))
+        http_headers = {"Content-Type": "application/json"}
         if not self.initialized or first_add:
             self.initialized = True
             info(f"首次添加资源，当前远程地址: {self.remote_addr}")
-            response = requests.post(
+            response = self._session.post(
                 f"{self.remote_addr}/edge/material",
-                json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
-                headers={"Authorization": f"Lab {self.auth}"},
+                data=body_bytes,
+                headers=http_headers,
                 timeout=60,
             )
         else:
-            response = requests.put(
+            response = self._session.put(
                 f"{self.remote_addr}/edge/material",
-                json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
-                headers={"Authorization": f"Lab {self.auth}"},
+                data=body_bytes,
+                headers=http_headers,
                 timeout=10,
             )
 
@@ -110,6 +117,7 @@ class HTTPClient:
                     uuid_mapping[i["uuid"]] = i["cloud_uuid"]
         else:
             logger.error(f"添加物料失败: {response.text}")
+            logger.trace(f"添加物料失败: {nodes_info}")
         for u, n in old_uuids.items():
             if u in uuid_mapping:
                 n.res_content.uuid = uuid_mapping[u]
@@ -130,7 +138,7 @@ class HTTPClient:
         """
         with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_get.json"), "w", encoding="utf-8") as f:
             f.write(json.dumps({"uuids": uuid_list, "with_children": with_children}, indent=4))
-        response = requests.post(
+        response = self._session.post(
             f"{self.remote_addr}/edge/material/query",
             json={"uuids": uuid_list, "with_children": with_children},
             headers={"Authorization": f"Lab {self.auth}"},
@@ -144,6 +152,7 @@ class HTTPClient:
                 logger.error(f"查询物料失败: {response.text}")
             else:
                 data = res["data"]["nodes"]
+                logger.trace(f"resource_tree_get查询到物料: {data}")
                 return data
         else:
             logger.error(f"查询物料失败: {response.text}")
@@ -161,14 +170,14 @@ class HTTPClient:
         if not self.initialized:
             self.initialized = True
             info(f"首次添加资源，当前远程地址: {self.remote_addr}")
-            response = requests.post(
+            response = self._session.post(
                 f"{self.remote_addr}/lab/material",
                 json={"nodes": resources},
                 headers={"Authorization": f"Lab {self.auth}"},
                 timeout=100,
             )
         else:
-            response = requests.put(
+            response = self._session.put(
                 f"{self.remote_addr}/lab/material",
                 json={"nodes": resources},
                 headers={"Authorization": f"Lab {self.auth}"},
@@ -195,7 +204,7 @@ class HTTPClient:
         """
         with open(os.path.join(BasicConfig.working_dir, "req_resource_get.json"), "w", encoding="utf-8") as f:
             f.write(json.dumps({"id": id, "with_children": with_children}, indent=4))
-        response = requests.get(
+        response = self._session.get(
             f"{self.remote_addr}/lab/material",
             params={"id": id, "with_children": with_children},
             headers={"Authorization": f"Lab {self.auth}"},
@@ -236,14 +245,14 @@ class HTTPClient:
         if not self.initialized:
             self.initialized = True
             info(f"首次添加资源，当前远程地址: {self.remote_addr}")
-            response = requests.post(
+            response = self._session.post(
                 f"{self.remote_addr}/lab/material",
                 json={"nodes": resources},
                 headers={"Authorization": f"Lab {self.auth}"},
                 timeout=100,
             )
         else:
-            response = requests.put(
+            response = self._session.put(
                 f"{self.remote_addr}/lab/material",
                 json={"nodes": resources},
                 headers={"Authorization": f"Lab {self.auth}"},
@@ -273,7 +282,7 @@ class HTTPClient:
         with open(file_path, "rb") as file:
             files = {"files": file}
             logger.info(f"上传文件: {file_path} 到 {scene}")
-            response = requests.post(
+            response = self._session.post(
                 f"{self.remote_addr}/api/account/file_upload/{scene}",
                 files=files,
                 headers={"Authorization": f"Lab {self.auth}"},
@@ -281,24 +290,60 @@ 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
         """
-        response = requests.post(
+        # 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 = self._session.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]]:
@@ -311,7 +356,7 @@ class HTTPClient:
         Returns:
             Response: API响应对象
         """
-        response = requests.get(
+        response = self._session.get(
             f"{self.remote_addr}/edge/material/download",
             headers={"Authorization": f"Lab {self.auth}"},
             timeout=(3, 30),
@@ -331,6 +376,106 @@ 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 = self._session.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()