upgrade to 0.11.1

fix virtual import

.conda/base/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos
-  version: 0.10.19
+  version: 0.11.1
 
 source:
   path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
   - pymodbus
   - matplotlib
   - pylibftdi
-  - uni-lab::unilabos-env ==0.10.19
+  - uni-lab::unilabos-env ==0.11.1
 
 about:
   repository: https://github.com/deepmodeling/Uni-Lab-OS

.conda/environment/recipe.yaml

@@ -2,7 +2,7 @@
 
 package:
   name: unilabos-env
-  version: 0.10.17
+  version: 0.11.1
 
 build:
   noarch: generic

.conda/full/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos-full
-  version: 0.10.19
+  version: 0.11.1
 
 build:
   noarch: generic
@@ -11,7 +11,7 @@ build:
 requirements:
   run:
   # Base unilabos package (includes unilabos-env)
-  - uni-lab::unilabos ==0.10.19
+  - uni-lab::unilabos ==0.11.1
   # Documentation tools
   - sphinx
   - sphinx_rtd_theme

.conda/scripts/post-link.bat

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

.conda/scripts/post-link.sh

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

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

@@ -0,0 +1,160 @@
+---
+name: add-device
+description: Guide for adding new devices to Uni-Lab-OS (接入新设备). Uses @device decorator + AST auto-scanning instead of manual YAML. Walks through device category, communication protocol, driver creation with decorators, and graph file setup. Use when the user wants to add/integrate a new device, create a device driver, write a device class, or mentions 接入设备/添加设备/设备驱动/物模型.
+---
+
+# 添加新设备到 Uni-Lab-OS
+
+**第一步：** 使用 Read 工具读取 `docs/ai_guides/add_device.md`，获取完整的设备接入指南。
+
+该指南包含设备类别（物模型）列表、通信协议模板、常见错误检查清单等。搜索 `unilabos/devices/` 获取已有设备的实现参考。
+
+---
+
+## 装饰器参考
+
+### @device — 设备类装饰器
+
+```python
+from unilabos.registry.decorators import device
+
+# 单设备
+@device(
+    id="my_device.vendor",           # 注册表唯一标识（必填）
+    category=["temperature"],         # 分类标签列表（必填）
+    description="设备描述",            # 设备描述
+    display_name="显示名称",           # UI 显示名称（默认用 id）
+    icon="DeviceIcon.webp",           # 图标文件名
+    version="1.0.0",                  # 版本号
+    device_type="python",             # "python" 或 "ros2"
+    handles=[...],                    # 端口列表（InputHandle / OutputHandle）
+    model={...},                      # 3D 模型配置
+    hardware_interface=HardwareInterface(...),  # 硬件通信接口
+)
+
+# 多设备（同一个类注册多个设备 ID，各自有不同的 handles 等配置）
+@device(
+    ids=["pump.vendor.model_A", "pump.vendor.model_B"],
+    id_meta={
+        "pump.vendor.model_A": {"handles": [...], "description": "型号 A"},
+        "pump.vendor.model_B": {"handles": [...], "description": "型号 B"},
+    },
+    category=["pump_and_valve"],
+)
+```
+
+### @action — 动作方法装饰器
+
+```python
+from unilabos.registry.decorators import action
+
+@action                              # 无参：注册为 UniLabJsonCommand 动作
+@action()                            # 同上
+@action(description="执行操作")       # 带描述
+@action(
+    action_type=HeatChill,           # 指定 ROS Action 消息类型
+    goal={"temperature": "temp"},    # Goal 字段映射
+    feedback={},                     # Feedback 字段映射
+    result={},                       # Result 字段映射
+    handles=[...],                   # 动作级别端口
+    goal_default={"temp": 25.0},     # Goal 默认值
+    placeholder_keys={...},          # 参数占位符
+    always_free=True,                # 不受排队限制
+    auto_prefix=True,                # 强制使用 auto- 前缀
+    parent=True,                     # 从父类 MRO 获取参数签名
+)
+```
+
+**自动识别规则：**
+- 带 `@action` 的公开方法 → 注册为动作（方法名即动作名）
+- **不带 `@action` 的公开方法** → 自动注册为 `auto-{方法名}` 动作
+- `_` 开头的方法 → 不扫描
+- `@not_action` 标记的方法 → 排除
+
+### @topic_config — 状态属性配置
+
+```python
+from unilabos.registry.decorators import topic_config
+
+@property
+@topic_config(
+    period=5.0,            # 发布周期（秒），默认 5.0
+    print_publish=False,   # 是否打印发布日志
+    qos=10,                # QoS 深度，默认 10
+    name="custom_name",    # 自定义发布名称（默认用属性名）
+)
+def temperature(self) -> float:
+    return self.data.get("temperature", 0.0)
+```
+
+### 辅助装饰器
+
+```python
+from unilabos.registry.decorators import not_action, always_free
+
+@not_action          # 标记为非动作（post_init、辅助方法等）
+@always_free         # 标记为不受排队限制（查询类操作）
+```
+
+---
+
+## 设备模板
+
+```python
+import logging
+from typing import Any, Dict, Optional
+
+from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
+from unilabos.registry.decorators import device, action, topic_config, not_action
+
+@device(id="my_device", category=["my_category"], description="设备描述")
+class MyDevice:
+    _ros_node: BaseROS2DeviceNode
+
+    def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
+        self.device_id = device_id or "my_device"
+        self.config = config or {}
+        self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
+        self.data: Dict[str, Any] = {"status": "Idle"}
+
+    @not_action
+    def post_init(self, ros_node: BaseROS2DeviceNode) -> None:
+        self._ros_node = ros_node
+
+    @action
+    async def initialize(self) -> bool:
+        self.data["status"] = "Ready"
+        return True
+
+    @action
+    async def cleanup(self) -> bool:
+        self.data["status"] = "Offline"
+        return True
+
+    @action(description="执行操作")
+    def my_action(self, param: float = 0.0, name: str = "") -> Dict[str, Any]:
+        """带 @action 装饰器 → 注册为 'my_action' 动作"""
+        return {"success": True}
+
+    def get_info(self) -> Dict[str, Any]:
+        """无 @action → 自动注册为 'auto-get_info' 动作"""
+        return {"device_id": self.device_id}
+
+    @property
+    @topic_config()
+    def status(self) -> str:
+        return self.data.get("status", "Idle")
+
+    @property
+    @topic_config(period=2.0)
+    def temperature(self) -> float:
+        return self.data.get("temperature", 0.0)
+```
+
+### 要点
+
+- `_ros_node: BaseROS2DeviceNode` 类型标注放在类体顶部
+- `__init__` 签名固定为 `(self, device_id=None, config=None, **kwargs)`
+- `post_init` 用 `@not_action` 标记，参数类型标注为 `BaseROS2DeviceNode`
+- 运行时状态存储在 `self.data` 字典中
+- 设备文件放在 `unilabos/devices/<category>/` 目录下

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

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

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

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

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

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

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

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

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

@@ -0,0 +1,261 @@
+---
+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/host-node/SKILL.md

@@ -0,0 +1,251 @@
+---
+name: host-node
+description: Operate Uni-Lab host node via REST API — create resources, test latency, test resource tree, manual confirm. Use when the user mentions host_node, creating resources, resource management, testing latency, or any host node operation.
+---
+
+# Host Node API Skill
+
+## 设备信息
+
+- **device_id**: `host_node`
+- **Python 源码**: `unilabos/ros/nodes/presets/host_node.py`
+- **设备类**: `HostNode`
+- **动作数**: 4（`create_resource`, `test_latency`, `auto-test_resource`, `manual_confirm`）
+
+## 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
+
+从启动参数 `--ak` `--sk` 或 config.py 中获取，生成 token：`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 <token>"
+```
+
+**两项全部就绪后才可发起 API 请求。**
+
+## 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**）
+- `device_name` — `host_node`
+
+## 请求约定
+
+所有请求使用 `curl -s`，POST/PATCH/DELETE 需加 `Content-Type: application/json`。
+
+> **Windows 平台**必须使用 `curl.exe`（而非 PowerShell 的 `curl` 别名）。
+
+---
+
+## 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 `data.uuid` 为 `lab_uuid`，`data.name` 为 `lab_name`。
+
+### 2. 创建工作流
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
+```
+
+返回 `data.uuid` 为 `workflow_uuid`。创建成功后告知用户链接：`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
+
+### 3. 创建节点
+
+```bash
+curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"host_node","node_template_name":"<action_name>"}'
+```
+
+- `resource_template_name` 固定为 `host_node`
+- `node_template_name` — action 名称（如 `create_resource`, `test_latency`）
+
+### 4. 删除节点
+
+```bash
+curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
+```
+
+### 5. 更新节点参数
+
+```bash
+curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
+```
+
+`param` 直接使用创建节点返回的 `data.param` 结构，修改需要填入的字段值。参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
+
+### 6. 查询节点 handles
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
+```
+
+### 7. 批量创建边
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
+```
+
+### 8. 启动工作流
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
+```
+
+### 9. 运行设备单动作
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"lab_uuid":"<lab_uuid>","device_id":"host_node","action":"<action_name>","action_type":"<type>","param":{...}}'
+```
+
+`param` 直接放 goal 里的属性，**不要**再包一层 `{"goal": {...}}`。
+
+> **WARNING: `action_type` 必须正确，传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
+
+#### action_type 速查表
+
+| action | action_type |
+|--------|-------------|
+| `test_latency` | `UniLabJsonCommand` |
+| `create_resource` | `ResourceCreateFromOuterEasy` |
+| `auto-test_resource` | `UniLabJsonCommand` |
+| `manual_confirm` | `UniLabJsonCommand` |
+
+### 10. 查询任务状态
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
+```
+
+### 11. 运行工作流单节点
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuid":"<node_uuid>"}'
+```
+
+### 12. 获取资源树（物料信息）
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
+```
+
+注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点（设备 + 物料），每个节点含 `name`、`uuid`、`type`、`parent`。
+
+### 13. 获取工作流模板详情
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
+```
+
+> 必须使用 `/lab/workflow/template/detail/{uuid}`，其他路径会返回 404。
+
+### 14. 按名称查询物料模板
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
+```
+
+返回 `data.uuid` 为 `res_template_uuid`，用于 API #15。
+
+### 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 '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
+```
+
+### 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 '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
+```
+
+---
+
+## Placeholder Slot 填写规则
+
+| `placeholder_keys` 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（非设备）   |
+| `unilabos_devices`    | DeviceSlot   | `"/parent/device_name"`                               | 仅设备节点（type=device） |
+| `unilabos_nodes`      | NodeSlot     | `"/parent/node_name"`                                 | 所有节点（设备 + 物料）   |
+| `unilabos_class`      | ClassSlot    | `"class_name"`                                        | 注册表中已注册的资源类    |
+
+### host_node 设备的 Slot 字段表
+
+| Action            | 字段        | Slot 类型    | 说明                           |
+| ----------------- | ----------- | ------------ | ------------------------------ |
+| `create_resource` | `res_id`    | ResourceSlot | 新资源路径（可填不存在的路径） |
+| `create_resource` | `device_id` | DeviceSlot   | 归属设备                       |
+| `create_resource` | `parent`    | NodeSlot     | 父节点路径                     |
+| `create_resource` | `class_name`| ClassSlot    | 资源类名如 `"container"`       |
+| `auto-test_resource` | `resource`  | ResourceSlot | 单个测试物料                |
+| `auto-test_resource` | `resources` | ResourceSlot | 测试物料数组                |
+| `auto-test_resource` | `device`    | DeviceSlot   | 测试设备                    |
+| `auto-test_resource` | `devices`   | DeviceSlot   | 测试设备                    |
+
+---
+
+## 渐进加载策略
+
+1. **SKILL.md**（本文件）— API 端点 + session state 管理
+2. **[action-index.md](action-index.md)** — 按分类浏览 4 个动作的描述和核心参数
+3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时，加载对应 action 的完整 JSON Schema
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
+- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
+- [ ] Step 3: 读 action-index.md 确定要用的 action 名
+- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid，告知用户链接
+- [ ] Step 5: 创建节点 (POST #3, resource_template_name=host_node) → 记住 node_uuid + data.param
+- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树，填写 data.param 中的 Slot 字段
+- [ ] Step 7: 更新节点参数 (PATCH #5)
+- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
+- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
+- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
+- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
+```

.cursor/skills/host-node/action-index.md

@@ -0,0 +1,58 @@
+# Action Index — host_node
+
+4 个动作，按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`。
+
+---
+
+## 资源管理
+
+### `create_resource`
+
+在资源树中创建新资源（容器、物料等），支持指定位置、类型和初始液体
+
+- **action_type**: `ResourceCreateFromOuterEasy`
+- **Schema**: [`actions/create_resource.json`](actions/create_resource.json)
+- **可选参数**: `res_id`, `device_id`, `class_name`, `parent`, `bind_locations`, `liquid_input_slot`, `liquid_type`, `liquid_volume`, `slot_on_deck`
+- **占位符字段**:
+  - `res_id` — **ResourceSlot**（特例：目标物料可能尚不存在，直接填期望路径）
+  - `device_id` — **DeviceSlot**，填路径字符串如 `"/host_node"`
+  - `parent` — **NodeSlot**，填路径字符串如 `"/workstation/deck"`
+  - `class_name` — **ClassSlot**，填类名如 `"container"`
+
+### `auto-test_resource`
+
+测试资源系统，返回当前资源树和设备列表
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/test_resource.json`](actions/test_resource.json)
+- **可选参数**: `resource`, `resources`, `device`, `devices`
+- **占位符字段**:
+  - `resource` — **ResourceSlot**，单个物料节点 `{id, name, uuid}`
+  - `resources` — **ResourceSlot**，物料节点数组 `[{id, name, uuid}, ...]`
+  - `device` — **DeviceSlot**，设备路径字符串
+  - `devices` — **DeviceSlot**，设备路径字符串
+
+---
+
+## 系统工具
+
+### `test_latency`
+
+测试设备通信延迟，返回 RTT、时间差、任务延迟等指标
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/test_latency.json`](actions/test_latency.json)
+- **参数**: 无（零参数调用）
+
+---
+
+## 人工确认
+
+### `manual_confirm`
+
+创建人工确认节点，等待用户手动确认后继续
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
+- **核心参数**: `timeout_seconds`（超时时间，秒）, `assignee_user_ids`（指派用户 ID 列表）
+- **占位符字段**: `assignee_user_ids` — `unilabos_manual_confirm` 类型

.cursor/skills/host-node/actions/create_resource.json

@@ -0,0 +1,93 @@
+{
+  "type": "ResourceCreateFromOuterEasy",
+  "goal": {
+    "res_id": "res_id",
+    "class_name": "class_name",
+    "parent": "parent",
+    "device_id": "device_id",
+    "bind_locations": "bind_locations",
+    "liquid_input_slot": "liquid_input_slot[]",
+    "liquid_type": "liquid_type[]",
+    "liquid_volume": "liquid_volume[]",
+    "slot_on_deck": "slot_on_deck"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "res_id": {
+        "type": "string"
+      },
+      "device_id": {
+        "type": "string"
+      },
+      "class_name": {
+        "type": "string"
+      },
+      "parent": {
+        "type": "string"
+      },
+      "bind_locations": {
+        "type": "object",
+        "properties": {
+          "x": {
+            "type": "number",
+            "minimum": -1.7976931348623157e+308,
+            "maximum": 1.7976931348623157e+308
+          },
+          "y": {
+            "type": "number",
+            "minimum": -1.7976931348623157e+308,
+            "maximum": 1.7976931348623157e+308
+          },
+          "z": {
+            "type": "number",
+            "minimum": -1.7976931348623157e+308,
+            "maximum": 1.7976931348623157e+308
+          }
+        },
+        "required": [
+          "x",
+          "y",
+          "z"
+        ],
+        "title": "bind_locations",
+        "additionalProperties": false
+      },
+      "liquid_input_slot": {
+        "type": "array",
+        "items": {
+          "type": "integer"
+        }
+      },
+      "liquid_type": {
+        "type": "array",
+        "items": {
+          "type": "string"
+        }
+      },
+      "liquid_volume": {
+        "type": "array",
+        "items": {
+          "type": "number"
+        }
+      },
+      "slot_on_deck": {
+        "type": "string"
+      }
+    },
+    "required": [],
+    "_unilabos_placeholder_info": {
+      "res_id": "unilabos_resources",
+      "device_id": "unilabos_devices",
+      "parent": "unilabos_nodes",
+      "class_name": "unilabos_class"
+    }
+  },
+  "goal_default": {},
+  "placeholder_keys": {
+    "res_id": "unilabos_resources",
+    "device_id": "unilabos_devices",
+    "parent": "unilabos_nodes",
+    "class_name": "unilabos_class"
+  }
+}

.cursor/skills/host-node/actions/manual_confirm.json

@@ -0,0 +1,32 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "timeout_seconds": "timeout_seconds",
+    "assignee_user_ids": "assignee_user_ids"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "timeout_seconds": {
+        "type": "integer"
+      },
+      "assignee_user_ids": {
+        "type": "array",
+        "items": {
+          "type": "string"
+        }
+      }
+    },
+    "required": [
+      "timeout_seconds",
+      "assignee_user_ids"
+    ],
+    "_unilabos_placeholder_info": {
+      "assignee_user_ids": "unilabos_manual_confirm"
+    }
+  },
+  "goal_default": {},
+  "placeholder_keys": {
+    "assignee_user_ids": "unilabos_manual_confirm"
+  }
+}

.cursor/skills/host-node/actions/test_latency.json

@@ -0,0 +1,11 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {},
+  "schema": {
+    "type": "object",
+    "properties": {},
+    "required": []
+  },
+  "goal_default": {},
+  "placeholder_keys": {}
+}

.cursor/skills/host-node/actions/test_resource.json

@@ -0,0 +1,255 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "resource": "resource",
+    "resources": "resources",
+    "device": "device",
+    "devices": "devices"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "resource": {
+        "type": "object",
+        "additionalProperties": false,
+        "properties": {
+          "id": {
+            "type": "string"
+          },
+          "name": {
+            "type": "string"
+          },
+          "sample_id": {
+            "type": "string"
+          },
+          "children": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            }
+          },
+          "parent": {
+            "type": "string"
+          },
+          "type": {
+            "type": "string"
+          },
+          "category": {
+            "type": "string"
+          },
+          "pose": {
+            "type": "object",
+            "properties": {
+              "position": {
+                "type": "object",
+                "properties": {
+                  "x": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  },
+                  "y": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  },
+                  "z": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  }
+                },
+                "required": [
+                  "x",
+                  "y",
+                  "z"
+                ],
+                "title": "position",
+                "additionalProperties": false
+              },
+              "orientation": {
+                "type": "object",
+                "properties": {
+                  "x": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  },
+                  "y": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  },
+                  "z": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  },
+                  "w": {
+                    "type": "number",
+                    "minimum": -1.7976931348623157e+308,
+                    "maximum": 1.7976931348623157e+308
+                  }
+                },
+                "required": [
+                  "x",
+                  "y",
+                  "z",
+                  "w"
+                ],
+                "title": "orientation",
+                "additionalProperties": false
+              }
+            },
+            "required": [
+              "position",
+              "orientation"
+            ],
+            "title": "pose",
+            "additionalProperties": false
+          },
+          "config": {
+            "type": "string"
+          },
+          "data": {
+            "type": "string"
+          }
+        },
+        "title": "resource"
+      },
+      "resources": {
+        "items": {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "sample_id": {
+              "type": "string"
+            },
+            "children": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "parent": {
+              "type": "string"
+            },
+            "type": {
+              "type": "string"
+            },
+            "category": {
+              "type": "string"
+            },
+            "pose": {
+              "type": "object",
+              "properties": {
+                "position": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z"
+                  ],
+                  "title": "position",
+                  "additionalProperties": false
+                },
+                "orientation": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "w": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z",
+                    "w"
+                  ],
+                  "title": "orientation",
+                  "additionalProperties": false
+                }
+              },
+              "required": [
+                "position",
+                "orientation"
+              ],
+              "title": "pose",
+              "additionalProperties": false
+            },
+            "config": {
+              "type": "string"
+            },
+            "data": {
+              "type": "string"
+            }
+          },
+          "title": "resources"
+        },
+        "type": "array"
+      },
+      "device": {
+        "type": "string",
+        "description": "device reference"
+      },
+      "devices": {
+        "type": "string",
+        "description": "device reference"
+      }
+    },
+    "required": [],
+    "_unilabos_placeholder_info": {
+      "resource": "unilabos_resources",
+      "resources": "unilabos_resources",
+      "device": "unilabos_devices",
+      "devices": "unilabos_devices"
+    }
+  },
+  "goal_default": {},
+  "placeholder_keys": {
+    "resource": "unilabos_resources",
+    "resources": "unilabos_resources",
+    "device": "unilabos_devices",
+    "devices": "unilabos_devices"
+  }
+}

.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()

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

@@ -0,0 +1,272 @@
+---
+name: virtual-workbench
+description: Operate Virtual Workbench via REST API — prepare materials, move to heating stations, start heating, move to output, transfer resources. Use when the user mentions virtual workbench, virtual_workbench, 虚拟工作台, heating stations, material processing, or workbench operations.
+---
+
+# Virtual Workbench API Skill
+
+## 设备信息
+
+- **device_id**: `virtual_workbench`
+- **Python 源码**: `unilabos/devices/virtual/workbench.py`
+- **设备类**: `VirtualWorkbench`
+- **动作数**: 6（`auto-prepare_materials`, `auto-move_to_heating_station`, `auto-start_heating`, `auto-move_to_output`, `transfer`, `manual_confirm`）
+- **设备描述**: 模拟工作台，包含 1 个机械臂（每次操作 2s，独占锁）和 3 个加热台（每次加热 60s，可并行）
+
+### 典型工作流程
+
+1. `prepare_materials` — 生成 A1-A5 物料（5 个 output handle）
+2. `move_to_heating_station` — 物料并发竞争机械臂，移动到空闲加热台
+3. `start_heating` — 启动加热（3 个加热台可并行）
+4. `move_to_output` — 加热完成后移到输出位置 Cn
+
+## 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
+
+从启动参数 `--ak` `--sk` 或 config.py 中获取，生成 token：`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 <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**）
+- `device_name` — `virtual_workbench`
+
+## 请求约定
+
+所有请求使用 `curl -s`，POST/PATCH/DELETE 需加 `Content-Type: application/json`。
+
+> **Windows 平台**必须使用 `curl.exe`（而非 PowerShell 的 `curl` 别名）。
+
+---
+
+## 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 `data.uuid` 为 `lab_uuid`，`data.name` 为 `lab_name`。
+
+### 2. 创建工作流
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
+```
+
+返回 `data.uuid` 为 `workflow_uuid`。创建成功后告知用户链接：`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
+
+### 3. 创建节点
+
+```bash
+curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"virtual_workbench","node_template_name":"<action_name>"}'
+```
+
+- `resource_template_name` 固定为 `virtual_workbench`
+- `node_template_name` — action 名称（如 `auto-prepare_materials`, `auto-move_to_heating_station`）
+
+### 4. 删除节点
+
+```bash
+curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
+```
+
+### 5. 更新节点参数
+
+```bash
+curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
+```
+
+参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
+
+### 6. 查询节点 handles
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
+```
+
+### 7. 批量创建边
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
+```
+
+### 8. 启动工作流
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
+```
+
+### 9. 运行设备单动作
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"lab_uuid":"<lab_uuid>","device_id":"virtual_workbench","action":"<action_name>","action_type":"<type>","param":{...}}'
+```
+
+`param` 直接放 goal 里的属性，**不要**再包一层 `{"goal": {...}}`。
+
+> **WARNING: `action_type` 必须正确，传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
+
+#### action_type 速查表
+
+| action | action_type |
+|--------|-------------|
+| `auto-prepare_materials` | `UniLabJsonCommand` |
+| `auto-move_to_heating_station` | `UniLabJsonCommand` |
+| `auto-start_heating` | `UniLabJsonCommand` |
+| `auto-move_to_output` | `UniLabJsonCommand` |
+| `transfer` | `UniLabJsonCommandAsync` |
+| `manual_confirm` | `UniLabJsonCommand` |
+
+### 10. 查询任务状态
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
+```
+
+### 11. 运行工作流单节点
+
+```bash
+curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
+  -H "$AUTH" -H "Content-Type: application/json" \
+  -d '{"node_uuid":"<node_uuid>"}'
+```
+
+### 12. 获取资源树（物料信息）
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
+```
+
+注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点（设备 + 物料），每个节点含 `name`、`uuid`、`type`、`parent`。
+
+### 13. 获取工作流模板详情
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
+```
+
+> 必须使用 `/lab/workflow/template/detail/{uuid}`，其他路径会返回 404。
+
+### 14. 按名称查询物料模板
+
+```bash
+curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
+```
+
+返回 `data.uuid` 为 `res_template_uuid`，用于 API #15。
+
+### 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 '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
+```
+
+### 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 '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
+```
+
+---
+
+## Placeholder Slot 填写规则
+
+| `placeholder_keys` 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（非设备）   |
+| `unilabos_devices`    | DeviceSlot   | `"/parent/device_name"`                               | 仅设备节点（type=device） |
+| `unilabos_nodes`      | NodeSlot     | `"/parent/node_name"`                                 | 所有节点（设备 + 物料）   |
+| `unilabos_class`      | ClassSlot    | `"class_name"`                                        | 注册表中已注册的资源类    |
+
+### virtual_workbench 设备的 Slot 字段表
+
+| Action            | 字段             | Slot 类型    | 说明                 |
+| ----------------- | ---------------- | ------------ | -------------------- |
+| `transfer`        | `resource`       | ResourceSlot | 待转移物料数组       |
+| `transfer`        | `target_device`  | DeviceSlot   | 目标设备路径         |
+| `transfer`        | `mount_resource` | ResourceSlot | 目标孔位数组         |
+| `manual_confirm`  | `resource`       | ResourceSlot | 确认用物料数组       |
+| `manual_confirm`  | `target_device`  | DeviceSlot   | 确认用目标设备       |
+| `manual_confirm`  | `mount_resource` | ResourceSlot | 确认用目标孔位数组   |
+
+> `prepare_materials`、`move_to_heating_station`、`start_heating`、`move_to_output` 这 4 个动作**无 Slot 字段**，参数为纯数值/整数。
+
+---
+
+## 渐进加载策略
+
+1. **SKILL.md**（本文件）— API 端点 + session state 管理 + 设备工作流概览
+2. **[action-index.md](action-index.md)** — 按分类浏览 6 个动作的描述和核心参数
+3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时，加载对应 action 的完整 JSON Schema
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
+- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
+- [ ] Step 3: 读 action-index.md 确定要用的 action 名
+- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid，告知用户链接
+- [ ] Step 5: 创建节点 (POST #3, resource_template_name=virtual_workbench) → 记住 node_uuid + data.param
+- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树，填写 data.param 中的 Slot 字段
+- [ ] Step 7: 更新节点参数 (PATCH #5)
+- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
+- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
+- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
+- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
+```
+
+### 典型 5 物料并发加热工作流示例
+
+```
+prepare_materials (count=5)
+  ├─ channel_1 → move_to_heating_station (material_number=1) → start_heating → move_to_output
+  ├─ channel_2 → move_to_heating_station (material_number=2) → start_heating → move_to_output
+  ├─ channel_3 → move_to_heating_station (material_number=3) → start_heating → move_to_output
+  ├─ channel_4 → move_to_heating_station (material_number=4) → start_heating → move_to_output
+  └─ channel_5 → move_to_heating_station (material_number=5) → start_heating → move_to_output
+```
+
+创建节点时，`prepare_materials` 的 5 个 output handle（`channel_1` ~ `channel_5`）分别连接到 5 个 `move_to_heating_station` 节点的 `material_input` handle。每个 `move_to_heating_station` 的 `heating_station_output` 和 `material_number_output` 连接到对应 `start_heating` 的 `station_id_input` 和 `material_number_input`。

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

@@ -0,0 +1,76 @@
+# Action Index — virtual_workbench
+
+6 个动作，按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`。
+
+---
+
+## 物料准备
+
+### `auto-prepare_materials`
+
+批量准备物料（虚拟起始节点），生成 A1-A5 物料编号，输出 5 个 handle 供后续节点使用
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/prepare_materials.json`](actions/prepare_materials.json)
+- **可选参数**: `count`（物料数量，默认 5）
+
+---
+
+## 机械臂 & 加热台操作
+
+### `auto-move_to_heating_station`
+
+将物料从 An 位置移动到空闲加热台（竞争机械臂，自动查找空闲加热台）
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/move_to_heating_station.json`](actions/move_to_heating_station.json)
+- **核心参数**: `material_number`（物料编号，integer）
+
+### `auto-start_heating`
+
+启动指定加热台的加热程序（可并行，3 个加热台同时工作）
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/start_heating.json`](actions/start_heating.json)
+- **核心参数**: `station_id`（加热台 ID），`material_number`（物料编号）
+
+### `auto-move_to_output`
+
+将加热完成的物料从加热台移动到输出位置 Cn
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/move_to_output.json`](actions/move_to_output.json)
+- **核心参数**: `station_id`（加热台 ID），`material_number`（物料编号）
+
+---
+
+## 物料转移
+
+### `transfer`
+
+异步转移物料到目标设备（通过 ROS 资源转移）
+
+- **action_type**: `UniLabJsonCommandAsync`
+- **Schema**: [`actions/transfer.json`](actions/transfer.json)
+- **核心参数**: `resource`, `target_device`, `mount_resource`
+- **占位符字段**:
+  - `resource` — **ResourceSlot**，待转移的物料数组 `[{id, name, uuid}, ...]`
+  - `target_device` — **DeviceSlot**，目标设备路径字符串
+  - `mount_resource` — **ResourceSlot**，目标孔位数组 `[{id, name, uuid}, ...]`
+
+---
+
+## 人工确认
+
+### `manual_confirm`
+
+创建人工确认节点，等待用户手动确认后继续（含物料转移上下文）
+
+- **action_type**: `UniLabJsonCommand`
+- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
+- **核心参数**: `resource`, `target_device`, `mount_resource`, `timeout_seconds`, `assignee_user_ids`
+- **占位符字段**:
+  - `resource` — **ResourceSlot**，物料数组
+  - `target_device` — **DeviceSlot**，目标设备路径
+  - `mount_resource` — **ResourceSlot**，目标孔位数组
+  - `assignee_user_ids` — `unilabos_manual_confirm` 类型

.cursor/skills/virtual-workbench/actions/manual_confirm.json

@@ -0,0 +1,270 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "resource": "resource",
+    "target_device": "target_device",
+    "mount_resource": "mount_resource",
+    "timeout_seconds": "timeout_seconds",
+    "assignee_user_ids": "assignee_user_ids"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "resource": {
+        "items": {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "sample_id": {
+              "type": "string"
+            },
+            "children": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "parent": {
+              "type": "string"
+            },
+            "type": {
+              "type": "string"
+            },
+            "category": {
+              "type": "string"
+            },
+            "pose": {
+              "type": "object",
+              "properties": {
+                "position": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z"
+                  ],
+                  "title": "position",
+                  "additionalProperties": false
+                },
+                "orientation": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "w": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z",
+                    "w"
+                  ],
+                  "title": "orientation",
+                  "additionalProperties": false
+                }
+              },
+              "required": [
+                "position",
+                "orientation"
+              ],
+              "title": "pose",
+              "additionalProperties": false
+            },
+            "config": {
+              "type": "string"
+            },
+            "data": {
+              "type": "string"
+            }
+          },
+          "title": "resource"
+        },
+        "type": "array"
+      },
+      "target_device": {
+        "type": "string",
+        "description": "device reference"
+      },
+      "mount_resource": {
+        "items": {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "sample_id": {
+              "type": "string"
+            },
+            "children": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "parent": {
+              "type": "string"
+            },
+            "type": {
+              "type": "string"
+            },
+            "category": {
+              "type": "string"
+            },
+            "pose": {
+              "type": "object",
+              "properties": {
+                "position": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z"
+                  ],
+                  "title": "position",
+                  "additionalProperties": false
+                },
+                "orientation": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "w": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z",
+                    "w"
+                  ],
+                  "title": "orientation",
+                  "additionalProperties": false
+                }
+              },
+              "required": [
+                "position",
+                "orientation"
+              ],
+              "title": "pose",
+              "additionalProperties": false
+            },
+            "config": {
+              "type": "string"
+            },
+            "data": {
+              "type": "string"
+            }
+          },
+          "title": "mount_resource"
+        },
+        "type": "array"
+      },
+      "timeout_seconds": {
+        "type": "integer"
+      },
+      "assignee_user_ids": {
+        "type": "array",
+        "items": {
+          "type": "string"
+        }
+      }
+    },
+    "required": [
+      "resource",
+      "target_device",
+      "mount_resource",
+      "timeout_seconds",
+      "assignee_user_ids"
+    ],
+    "_unilabos_placeholder_info": {
+      "resource": "unilabos_resources",
+      "target_device": "unilabos_devices",
+      "mount_resource": "unilabos_resources",
+      "assignee_user_ids": "unilabos_manual_confirm"
+    }
+  },
+  "goal_default": {},
+  "placeholder_keys": {
+    "resource": "unilabos_resources",
+    "target_device": "unilabos_devices",
+    "mount_resource": "unilabos_resources",
+    "assignee_user_ids": "unilabos_manual_confirm"
+  }
+}

.cursor/skills/virtual-workbench/actions/move_to_heating_station.json

@@ -0,0 +1,19 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "material_number": "material_number"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "material_number": {
+        "type": "integer"
+      }
+    },
+    "required": [
+      "material_number"
+    ]
+  },
+  "goal_default": {},
+  "placeholder_keys": {}
+}

.cursor/skills/virtual-workbench/actions/move_to_output.json

@@ -0,0 +1,24 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "station_id": "station_id",
+    "material_number": "material_number"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "station_id": {
+        "type": "integer"
+      },
+      "material_number": {
+        "type": "integer"
+      }
+    },
+    "required": [
+      "station_id",
+      "material_number"
+    ]
+  },
+  "goal_default": {},
+  "placeholder_keys": {}
+}

.cursor/skills/virtual-workbench/actions/prepare_materials.json

@@ -0,0 +1,20 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "count": "count"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "count": {
+        "type": "integer",
+        "default": 5
+      }
+    },
+    "required": []
+  },
+  "goal_default": {
+    "count": 5
+  },
+  "placeholder_keys": {}
+}

.cursor/skills/virtual-workbench/actions/start_heating.json

@@ -0,0 +1,24 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {
+    "station_id": "station_id",
+    "material_number": "material_number"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "station_id": {
+        "type": "integer"
+      },
+      "material_number": {
+        "type": "integer"
+      }
+    },
+    "required": [
+      "station_id",
+      "material_number"
+    ]
+  },
+  "goal_default": {},
+  "placeholder_keys": {}
+}

.cursor/skills/virtual-workbench/actions/transfer.json

@@ -0,0 +1,255 @@
+{
+  "type": "UniLabJsonCommandAsync",
+  "goal": {
+    "resource": "resource",
+    "target_device": "target_device",
+    "mount_resource": "mount_resource"
+  },
+  "schema": {
+    "type": "object",
+    "properties": {
+      "resource": {
+        "items": {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "sample_id": {
+              "type": "string"
+            },
+            "children": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "parent": {
+              "type": "string"
+            },
+            "type": {
+              "type": "string"
+            },
+            "category": {
+              "type": "string"
+            },
+            "pose": {
+              "type": "object",
+              "properties": {
+                "position": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z"
+                  ],
+                  "title": "position",
+                  "additionalProperties": false
+                },
+                "orientation": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "w": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z",
+                    "w"
+                  ],
+                  "title": "orientation",
+                  "additionalProperties": false
+                }
+              },
+              "required": [
+                "position",
+                "orientation"
+              ],
+              "title": "pose",
+              "additionalProperties": false
+            },
+            "config": {
+              "type": "string"
+            },
+            "data": {
+              "type": "string"
+            }
+          },
+          "title": "resource"
+        },
+        "type": "array"
+      },
+      "target_device": {
+        "type": "string",
+        "description": "device reference"
+      },
+      "mount_resource": {
+        "items": {
+          "type": "object",
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "sample_id": {
+              "type": "string"
+            },
+            "children": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "parent": {
+              "type": "string"
+            },
+            "type": {
+              "type": "string"
+            },
+            "category": {
+              "type": "string"
+            },
+            "pose": {
+              "type": "object",
+              "properties": {
+                "position": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z"
+                  ],
+                  "title": "position",
+                  "additionalProperties": false
+                },
+                "orientation": {
+                  "type": "object",
+                  "properties": {
+                    "x": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "y": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "z": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    },
+                    "w": {
+                      "type": "number",
+                      "minimum": -1.7976931348623157e+308,
+                      "maximum": 1.7976931348623157e+308
+                    }
+                  },
+                  "required": [
+                    "x",
+                    "y",
+                    "z",
+                    "w"
+                  ],
+                  "title": "orientation",
+                  "additionalProperties": false
+                }
+              },
+              "required": [
+                "position",
+                "orientation"
+              ],
+              "title": "pose",
+              "additionalProperties": false
+            },
+            "config": {
+              "type": "string"
+            },
+            "data": {
+              "type": "string"
+            }
+          },
+          "title": "mount_resource"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "resource",
+      "target_device",
+      "mount_resource"
+    ],
+    "_unilabos_placeholder_info": {
+      "resource": "unilabos_resources",
+      "target_device": "unilabos_devices",
+      "mount_resource": "unilabos_resources"
+    }
+  },
+  "goal_default": {},
+  "placeholder_keys": {
+    "resource": "unilabos_resources",
+    "target_device": "unilabos_devices",
+    "mount_resource": "unilabos_resources"
+  }
+}

.cursorignore

@@ -1,26 +0,0 @@
-.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/dependabot.yml

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

.gitignore

@@ -252,9 +252,3 @@ ros-humble-unilabos-msgs-0.9.13-h6403a04_5.tar.bz2
 test_config.py
 
 
-/.claude
-/.conda
-/.cursor
-/.github
-/.conda/base
-.conda/base/recipe.yaml

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/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)                     │
 └────────────────────┬─────────────────────────┘
@@ -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/user_guide/best_practice.md

@@ -33,11 +33,11 @@
 
 **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 |
+| 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：**
 
@@ -66,6 +66,7 @@ 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
@@ -88,7 +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
 
@@ -297,7 +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
 
@@ -306,12 +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
 
@@ -818,6 +817,7 @@ 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
@@ -1796,32 +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
@@ -1871,7 +1866,7 @@ unilab --ak your_ak --sk your_sk -g graph.json \
 #### 14.5 社区支持
 
 - **GitHub Issues**：[https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
-- **官方网站**：[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
+- **官方网站**：[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
 
 ---
 

docs/user_guide/graph_files.md

@@ -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

docs/user_guide/launch.md

@@ -54,7 +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
@@ -68,8 +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
 
@@ -176,7 +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
 
@@ -216,7 +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
 

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.19
+  version: 0.11.1
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.19"
+  version: "0.11.1"
 
 source:
   path: ../..

scripts/workflow.py

@@ -2,6 +2,7 @@ import json
 import logging
 import traceback
 import uuid
+import xml.etree.ElementTree as ET
 from typing import Any, Dict, List
 
 import networkx as nx
@@ -24,15 +25,7 @@ class SimpleGraph:
 
     def add_edge(self, source, target, **attrs):
         """添加边"""
-        # 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
-        }
+        edge = {"source": source, "target": target, **attrs}
         self.edges.append(edge)
 
     def to_dict(self):
@@ -49,7 +42,6 @@ class SimpleGraph:
             "multigraph": False,
             "graph": {},
             "nodes": nodes_list,
-            "edges": self.edges,
             "links": self.edges,
         }
 
@@ -66,8 +58,495 @@ 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='0.10.19',
+    version='0.11.1',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

tests/devices/liquid_handling/README.md

@@ -1,15 +0,0 @@
-# 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/unit_test.py

@@ -1,547 +0,0 @@
-import asyncio
-from dataclasses import dataclass
-from typing import Any, Iterable, List, Optional, Sequence, Tuple
-
-import pytest
-
-from unilabos.devices.liquid_handling.liquid_handler_abstract import LiquidHandlerAbstract
-
-
-@dataclass(frozen=True)
-class DummyContainer:
-    name: str
-
-    def __repr__(self) -> str:  # pragma: no cover
-        return f"DummyContainer({self.name})"
-
-
-@dataclass(frozen=True)
-class DummyTipSpot:
-    name: str
-
-    def __repr__(self) -> str:  # pragma: no cover
-        return f"DummyTipSpot({self.name})"
-
-
-def make_tip_iter(n: int = 256) -> Iterable[List[DummyTipSpot]]:
-    """Yield lists so code can safely call `tip.extend(next(self.current_tip))`."""
-    for i in range(n):
-        yield [DummyTipSpot(f"tip_{i}")]
-
-
-class FakeLiquidHandler(LiquidHandlerAbstract):
-    """不初始化真实 backend/deck；仅用来记录 transfer_liquid 内部调用序列。"""
-
-    def __init__(self, channel_num: int = 8):
-        # 不调用 super().__init__，避免真实硬件/后端依赖
-        self.channel_num = channel_num
-        self.support_touch_tip = True
-        self.current_tip = iter(make_tip_iter())
-        self.calls: List[Tuple[str, Any]] = []
-
-    async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **backend_kwargs):
-        self.calls.append(("pick_up_tips", {"tips": list(tip_spots), "use_channels": use_channels}))
-
-    async def aspirate(
-        self,
-        resources: Sequence[Any],
-        vols: List[float],
-        use_channels: Optional[List[int]] = None,
-        flow_rates: Optional[List[Optional[float]]] = None,
-        offsets: Any = None,
-        liquid_height: Any = None,
-        blow_out_air_volume: Any = None,
-        spread: str = "wide",
-        **backend_kwargs,
-    ):
-        self.calls.append(
-            (
-                "aspirate",
-                {
-                    "resources": list(resources),
-                    "vols": list(vols),
-                    "use_channels": list(use_channels) if use_channels is not None else None,
-                    "flow_rates": list(flow_rates) if flow_rates is not None else None,
-                    "offsets": list(offsets) if offsets is not None else None,
-                    "liquid_height": list(liquid_height) if liquid_height is not None else None,
-                    "blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
-                },
-            )
-        )
-
-    async def dispense(
-        self,
-        resources: Sequence[Any],
-        vols: List[float],
-        use_channels: Optional[List[int]] = None,
-        flow_rates: Optional[List[Optional[float]]] = None,
-        offsets: Any = None,
-        liquid_height: Any = None,
-        blow_out_air_volume: Any = None,
-        spread: str = "wide",
-        **backend_kwargs,
-    ):
-        self.calls.append(
-            (
-                "dispense",
-                {
-                    "resources": list(resources),
-                    "vols": list(vols),
-                    "use_channels": list(use_channels) if use_channels is not None else None,
-                    "flow_rates": list(flow_rates) if flow_rates is not None else None,
-                    "offsets": list(offsets) if offsets is not None else None,
-                    "liquid_height": list(liquid_height) if liquid_height is not None else None,
-                    "blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
-                },
-            )
-        )
-
-    async def discard_tips(self, use_channels=None, *args, **kwargs):
-        # 有的分支是 discard_tips(use_channels=[0])，有的分支是 discard_tips([0..7])（位置参数）
-        self.calls.append(("discard_tips", {"use_channels": list(use_channels) if use_channels is not None else None}))
-
-    async def custom_delay(self, seconds=0, msg=None):
-        self.calls.append(("custom_delay", {"seconds": seconds, "msg": msg}))
-
-    async def touch_tip(self, targets):
-        # 原实现会访问 targets.get_size_x() 等；测试里只记录调用
-        self.calls.append(("touch_tip", {"targets": targets}))
-
-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]]
-
-

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.19"
+__version__ = "0.11.1"

unilabos/__main__.py

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

unilabos/app/main.py

@@ -12,6 +12,15 @@ from typing import Dict, Any, List
 import networkx as nx
 import yaml
 
+# Windows 中文系统 stdout 默认 GBK，无法编码 banner / emoji 日志中的 Unicode 字符
+# 强制 stdout/stderr 用 UTF-8，避免 print 触发 UnicodeEncodeError 导致进程崩溃
+if sys.platform == "win32":
+    for _stream in (sys.stdout, sys.stderr):
+        try:
+            _stream.reconfigure(encoding="utf-8", errors="replace")  # type: ignore[attr-defined]
+        except (AttributeError, OSError):
+            pass
+
 # 首先添加项目根目录到路径
 current_dir = os.path.dirname(os.path.abspath(__file__))
 unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
@@ -233,7 +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(
@@ -438,10 +447,10 @@ def main():
     if args.addr != parser.get_default("addr"):
         if args.addr == "test":
             print_status("使用测试环境地址", "info")
-            HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
+            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://uni-lab.uat.bohrium.com/api/v1"
+            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"
@@ -553,7 +562,7 @@ def main():
         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

unilabos/app/web/client.py

@@ -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,
@@ -75,25 +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:
-            payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
-            f.write(json.dumps(payload, indent=4))
-        # 从序列化数据中提取所有节点的UUID（保存旧UUID）
+        # 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,
             )
 
@@ -111,6 +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]
@@ -131,7 +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}"},
@@ -145,6 +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}")
@@ -162,14 +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}"},
@@ -196,7 +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}"},
@@ -237,14 +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}"},
@@ -274,7 +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}"},
@@ -314,7 +322,7 @@ class HTTPClient:
             "Content-Type": "application/json",
             "Content-Encoding": "gzip",
         }
-        response = requests.post(
+        response = self._session.post(
             f"{self.remote_addr}/lab/resource",
             data=compressed_body,
             headers=headers,
@@ -348,7 +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),
@@ -409,7 +417,7 @@ class HTTPClient:
         with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
             f.write(json.dumps(payload, indent=4, ensure_ascii=False))
 
-        response = requests.post(
+        response = self._session.post(
             f"{self.remote_addr}/lab/workflow/owner/import",
             json=payload,
             headers={"Authorization": f"Lab {self.auth}"},

unilabos/app/web/controller.py

@@ -58,14 +58,14 @@ class JobResultStore:
                 feedback=feedback or {},
                 timestamp=time.time(),
             )
-            logger.debug(f"[JobResultStore] Stored result for job {job_id[:8]}, status={status}")
+            logger.trace(f"[JobResultStore] Stored result for job {job_id[:8]}, status={status}")
 
     def get_and_remove(self, job_id: str) -> Optional[JobResult]:
         """获取并删除任务结果"""
         with self._results_lock:
             result = self._results.pop(job_id, None)
             if result:
-                logger.debug(f"[JobResultStore] Retrieved and removed result for job {job_id[:8]}")
+                logger.trace(f"[JobResultStore] Retrieved and removed result for job {job_id[:8]}")
             return result
 
     def get_result(self, job_id: str) -> Optional[JobResult]:

unilabos/app/ws_client.py

@@ -1113,7 +1113,7 @@ class MessageProcessor:
                 "task_id": task_id,
                 "job_id": job_id,
                 "free": free,
-                "need_more": need_more,
+                "need_more": need_more + 1,
             },
         }
 
@@ -1253,7 +1253,7 @@ class QueueProcessor:
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
                     "free": False,
-                    "need_more": 10,
+                    "need_more": 10 + 1,
                 },
             }
             self.message_processor.send_message(message)
@@ -1269,7 +1269,13 @@ class QueueProcessor:
         if not queued_jobs:
             return
 
-        logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
+        queue_summary = {}
+        for j in queued_jobs:
+            key = f"{j.device_id}/{j.action_name}"
+            queue_summary[key] = queue_summary.get(key, 0) + 1
+        logger.debug(
+            f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs: {queue_summary}"
+        )
 
         for job_info in queued_jobs:
             # 快照可能已过期：在遍历过程中 end_job() 可能已将此 job 移至 READY，
@@ -1286,7 +1292,7 @@ class QueueProcessor:
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
                     "free": False,
-                    "need_more": 10,
+                    "need_more": 10 + 1,
                 },
             }
             success = self.message_processor.send_message(message)
@@ -1369,6 +1375,10 @@ class WebSocketClient(BaseCommunicationClient):
         self.message_processor = MessageProcessor(self.websocket_url, self.send_queue, self.device_manager)
         self.queue_processor = QueueProcessor(self.device_manager, self.message_processor)
 
+        # running状态debounce缓存: {job_id: (last_send_timestamp, last_feedback_data)}
+        self._job_running_last_sent: Dict[str, tuple] = {}
+        self._job_running_debounce_interval: float = 10.0  # 秒
+
         # 设置相互引用
         self.message_processor.set_queue_processor(self.queue_processor)
         self.message_processor.set_websocket_client(self)
@@ -1468,22 +1478,32 @@ class WebSocketClient(BaseCommunicationClient):
             logger.debug(f"[WebSocketClient] Not connected, cannot publish job status for job_id: {item.job_id}")
             return
 
+        job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
+
         # 拦截最终结果状态，与原版本逻辑一致
         if status in ["success", "failed"]:
+            self._job_running_last_sent.pop(item.job_id, None)
+
             host_node = HostNode.get_instance(0)
             if host_node:
-                # 从HostNode的device_action_status中移除job_id
                 try:
                     host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id, None)
                 except (KeyError, AttributeError):
                     logger.warning(f"[WebSocketClient] Failed to remove job {item.job_id} from HostNode status")
 
-            # logger.debug(f"[WebSocketClient] Intercepting final status for job_id: {item.job_id} - {status}")
-
-            # 通知队列处理器job完成（包括timeout的job）
             self.queue_processor.handle_job_completed(item.job_id, status)
 
-        # 发送job状态消息
+        # running状态按job_id做debounce，内容变化时仍然上报
+        if status == "running":
+            now = time.time()
+            cached = self._job_running_last_sent.get(item.job_id)
+            if cached is not None:
+                last_ts, last_data = cached
+                if now - last_ts < self._job_running_debounce_interval and last_data == feedback_data:
+                    logger.trace(f"[WebSocketClient] Job status debounced (skip): {job_log} - {status}")
+                    return
+            self._job_running_last_sent[item.job_id] = (now, feedback_data)
+
         message = {
             "action": "job_status",
             "data": {
@@ -1499,7 +1519,6 @@ class WebSocketClient(BaseCommunicationClient):
         }
         self.message_processor.send_message(message)
 
-        job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
         logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
 
     def send_ping(self, ping_id: str, timestamp: float) -> None:

unilabos/config/config.py

@@ -46,7 +46,7 @@ class WSConfig:
 
 # HTTP配置
 class HTTPConfig:
-    remote_addr = "https://uni-lab.bohrium.com/api/v1"
+    remote_addr = "https://leap-lab.bohrium.com/api/v1"
 
 
 # ROS配置

unilabos/device_comms/opcua_client/node/uniopcua.py

@@ -43,7 +43,7 @@ class Base(ABC):
         self._type = typ
         self._data_type = data_type
         self._node: Optional[Node] = None
-        
+
     def _get_node(self) -> Node:
         if self._node is None:
             try:
@@ -66,7 +66,7 @@ class Base(ABC):
                 # 直接以字符串形式处理
                 if isinstance(nid, str):
                     nid = nid.strip()
-                    
+
                     # 处理包含类名的格式，如 'StringNodeId(ns=4;s=...)' 或 'NumericNodeId(ns=2;i=...)'
                     # 提取括号内的内容
                     match_wrapped = re.match(r'(String|Numeric|Byte|Guid|TwoByteNode|FourByteNode)NodeId\((.*)\)', nid)
@@ -116,16 +116,16 @@ class Base(ABC):
     def read(self) -> Tuple[Any, bool]:
         """读取节点值，返回(值, 是否出错)"""
         pass
-    
+
     @abstractmethod
     def write(self, value: Any) -> bool:
         """写入节点值，返回是否出错"""
         pass
-    
+
     @property
     def type(self) -> NodeType:
         return self._type
-    
+
     @property
     def node_id(self) -> str:
         return self._node_id
@@ -210,15 +210,15 @@ class Method(Base):
         super().__init__(client, name, node_id, NodeType.METHOD, data_type)
         self._parent_node_id = parent_node_id
         self._parent_node = None
-        
+
     def _get_parent_node(self) -> Node:
         if self._parent_node is None:
             try:
                 # 处理父节点ID，使用与_get_node相同的解析逻辑
                 import re
-                
+
                 nid = self._parent_node_id
-                
+
                 # 如果已经是 NodeId 对象，直接使用
                 try:
                     from opcua.ua import NodeId as UaNodeId
@@ -227,16 +227,16 @@ class Method(Base):
                         return self._parent_node
                 except Exception:
                     pass
-                
+
                 # 字符串处理
                 if isinstance(nid, str):
                     nid = nid.strip()
-                    
+
                     # 处理包含类名的格式
                     match_wrapped = re.match(r'(String|Numeric|Byte|Guid|TwoByteNode|FourByteNode)NodeId\((.*)\)', nid)
                     if match_wrapped:
                         nid = match_wrapped.group(2).strip()
-                    
+
                     # 常见短格式
                     if re.match(r'^ns=\d+;[is]=', nid):
                         self._parent_node = self._client.get_node(nid)
@@ -271,7 +271,7 @@ class Method(Base):
     def write(self, value: Any) -> bool:
         """方法节点不支持写入操作"""
         return True
-        
+
     def call(self, *args) -> Tuple[Any, bool]:
         """调用方法，返回(返回值, 是否出错)"""
         try:
@@ -285,7 +285,7 @@ class Method(Base):
 class Object(Base):
     def __init__(self, client: Client, name: str, node_id: str):
         super().__init__(client, name, node_id, NodeType.OBJECT, None)
-        
+
     def read(self) -> Tuple[Any, bool]:
         """对象节点不支持直接读取操作"""
         return None, True
@@ -293,7 +293,7 @@ class Object(Base):
     def write(self, value: Any) -> bool:
         """对象节点不支持直接写入操作"""
         return True
-    
+
     def get_children(self) -> Tuple[List[Node], bool]:
         """获取子节点列表，返回(子节点列表, 是否出错)"""
         try:
@@ -301,4 +301,4 @@ class Object(Base):
             return children, False
         except Exception as e:
             print(f"获取对象 {self._name} 的子节点失败: {e}")
-            return [], True 
+            return [], True

unilabos/devices/liquid_handling/liquid_handler_abstract.py

@@ -208,8 +208,7 @@ class LiquidHandlerMiddleware(LiquidHandler):
         spread: Literal["wide", "tight", "custom"] = "wide",
         **backend_kwargs,
     ):
-        if spread == "":
-            spread = "wide"
+
         if self._simulator:
             return await self._simulate_handler.aspirate(
                 resources,
@@ -222,46 +221,23 @@ class LiquidHandlerMiddleware(LiquidHandler):
                 spread,
                 **backend_kwargs,
             )
-        try:
-            await super().aspirate(
-                resources,
-                vols,
-                use_channels,
-                flow_rates,
-                offsets,
-                liquid_height,
-                blow_out_air_volume,
-                spread,
-                **backend_kwargs,
-            )
-        except ValueError as e:
-            if "Resource is too small to space channels" in str(e) and spread != "custom":
-                await super().aspirate(
-                    resources,
-                    vols,
-                    use_channels,
-                    flow_rates,
-                    offsets,
-                    liquid_height,
-                    blow_out_air_volume,
-                    spread="custom",
-                    **backend_kwargs,
-                )
-            else:
-                raise
+        await super().aspirate(
+            resources,
+            vols,
+            use_channels,
+            flow_rates,
+            offsets,
+            liquid_height,
+            blow_out_air_volume,
+            spread,
+            **backend_kwargs,
+        )
 
         res_samples = []
         res_volumes = []
-        # 处理 use_channels 为 None 的情况（通常用于单通道操作）
-        if use_channels is None:
-            # 对于单通道操作，推断通道为 [0]
-            channels_to_use = [0] * len(resources)
-        else:
-            channels_to_use = use_channels
-
-        for resource, volume, channel in zip(resources, vols, channels_to_use):
-            sample_uuid_value = getattr(resource, "unilabos_extra", {}).get(EXTRA_SAMPLE_UUID, None)
-            res_samples.append({"name": resource.name, "sample_uuid": sample_uuid_value})
+        for resource, volume, channel in zip(resources, vols, use_channels):
+            sample_uuid_value = resource.unilabos_extra.get(EXTRA_SAMPLE_UUID, None)
+            res_samples.append({"name": resource.name, EXTRA_SAMPLE_UUID: sample_uuid_value})
             res_volumes.append(volume)
             self.pending_liquids_dict[channel] = {
                 EXTRA_SAMPLE_UUID: sample_uuid_value,
@@ -281,8 +257,6 @@ class LiquidHandlerMiddleware(LiquidHandler):
         spread: Literal["wide", "tight", "custom"] = "wide",
         **backend_kwargs,
     ) -> SimpleReturn:
-        if spread == "":
-            spread = "wide"
         if self._simulator:
             return await self._simulate_handler.dispense(
                 resources,
@@ -295,33 +269,16 @@ class LiquidHandlerMiddleware(LiquidHandler):
                 spread,
                 **backend_kwargs,
             )
-        try:
-            await super().dispense(
-                resources,
-                vols,
-                use_channels,
-                flow_rates,
-                offsets,
-                liquid_height,
-                blow_out_air_volume,
-                spread,
-                **backend_kwargs,
-            )
-        except ValueError as e:
-            if "Resource is too small to space channels" in str(e) and spread != "custom":
-                await super().dispense(
-                    resources,
-                    vols,
-                    use_channels,
-                    flow_rates,
-                    offsets,
-                    liquid_height,
-                    blow_out_air_volume,
-                    "custom",
-                    **backend_kwargs,
-                )
-            else:
-                raise
+        await super().dispense(
+            resources,
+            vols,
+            use_channels,
+            flow_rates,
+            offsets,
+            liquid_height,
+            blow_out_air_volume,
+            **backend_kwargs,
+        )
         res_samples = []
         res_volumes = []
         for resource, volume, channel in zip(resources, vols, use_channels):
@@ -891,7 +848,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     for _ in range(len(sources)):
                         tip = []
                         for __ in range(len(use_channels)):
-                            tip.extend(self._get_next_tip())
+                            tip.extend(next(self.current_tip))
                         await self.pick_up_tips(tip)
                         await self.aspirate(
                             resources=[sources[_]],
@@ -931,7 +888,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     for i in range(0, len(sources), 8):
                         tip = []
                         for _ in range(len(use_channels)):
-                            tip.extend(self._get_next_tip())
+                            tip.extend(next(self.current_tip))
                         await self.pick_up_tips(tip)
                         current_targets = waste_liquid[i : i + 8]
                         current_reagent_sources = sources[i : i + 8]
@@ -1025,7 +982,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 for _ in range(len(targets)):
                     tip = []
                     for x in range(len(use_channels)):
-                        tip.extend(self._get_next_tip())
+                        tip.extend(next(self.current_tip))
                     await self.pick_up_tips(tip)
 
                     await self.aspirate(
@@ -1077,7 +1034,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 for i in range(0, len(targets), 8):
                     tip = []
                     for _ in range(len(use_channels)):
-                        tip.extend(self._get_next_tip())
+                        tip.extend(next(self.current_tip))
                     await self.pick_up_tips(tip)
                     current_targets = targets[i : i + 8]
                     current_reagent_sources = reagent_sources[i : i + 8]
@@ -1202,19 +1159,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
             Number of mix cycles. If *None* (default) no mixing occurs regardless of
             mix_stage.
         """
-        num_sources = len(sources)
-        num_targets = len(targets)
-        len_asp_vols = len(asp_vols)
-        len_dis_vols = len(dis_vols)
+
         # 确保 use_channels 有默认值
         if use_channels is None:
             # 默认使用设备所有通道（例如 8 通道移液站默认就是 0-7）
-            use_channels = list(range(self.channel_num)) if self.channel_num == 8 else [0]
-        elif len(use_channels) == 8:
-            if self.channel_num != 8:
-                raise ValueError(f"if channel_num is 8, use_channels length must be 8, but got {len(use_channels)}")
-            if num_sources%8 != 0 or num_targets%8 != 0 or len_asp_vols%8 != 0 or len_dis_vols%8 != 0:
-                raise ValueError(f"if channel_num is 8, sources, targets, asp_vols, and dis_vols length must be divisible by 8, but got {num_sources}, {num_targets}, {len_asp_vols}, and {len_dis_vols}")
+            use_channels = list(range(self.channel_num)) if self.channel_num > 0 else [0]
 
         if is_96_well:
             pass  # This mode is not verified.
@@ -1242,234 +1191,90 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         if mix_times is not None:
             mix_times = int(mix_times)
 
-        # 设置tip racks
-        self.set_tiprack(tip_racks)
-
         # 识别传输模式（mix_times 为 None 也应该能正常移液，只是不做 mix）
         num_sources = len(sources)
         num_targets = len(targets)
-        len_asp_vols = len(asp_vols)
-        len_dis_vols = len(dis_vols)
 
-        # if num_targets != 1 and num_sources != 1:
-        #     if len_asp_vols != num_sources and len_asp_vols != num_targets:
-        #         raise ValueError(f"asp_vols length must be equal to sources or targets length, but got {len_asp_vols} and {num_sources} and {num_targets}")
-        #     if len_dis_vols != num_sources and len_dis_vols != num_targets:
-        #         raise ValueError(f"dis_vols length must be equal to sources or targets length, but got {len_dis_vols} and {num_sources} and {num_targets}")
-
-        if len(use_channels) != 8:
-            max_len = max(num_sources, num_targets)
-            for i in range(max_len):
-
-                # 辅助函数：安全地从列表中获取元素，如果列表为空则返回None
-                def safe_get(lst, idx, default=None):
-                    return [lst[idx]] if lst else default
-
-                # 动态构建参数字典，只传递实际提供的参数
-                kwargs = {
-                    'sources': [sources[i%num_sources]],
-                    'targets': [targets[i%num_targets]],
-                    'tip_racks': tip_racks,
-                    'use_channels': use_channels,
-                    'asp_vols': [asp_vols[i%len_asp_vols]],
-                    'dis_vols': [dis_vols[i%len_dis_vols]],
-                }
-
-                # 条件性添加可选参数
-                if asp_flow_rates is not None:
-                    kwargs['asp_flow_rates'] = [asp_flow_rates[i%len_asp_vols]]
-                if dis_flow_rates is not None:
-                    kwargs['dis_flow_rates'] = [dis_flow_rates[i%len_dis_vols]]
-                if offsets is not None:
-                    kwargs['offsets'] = safe_get(offsets, i)
-                if touch_tip is not None:
-                    kwargs['touch_tip'] = touch_tip if touch_tip else False
-                if liquid_height is not None:
-                    kwargs['liquid_height'] = safe_get(liquid_height, i)
-                if blow_out_air_volume is not None:
-                    kwargs['blow_out_air_volume'] = safe_get(blow_out_air_volume, i)
-                if spread is not None:
-                    kwargs['spread'] = spread
-                if mix_stage is not None:
-                    kwargs['mix_stage'] = safe_get(mix_stage, i)
-                if mix_times is not None:
-                    kwargs['mix_times'] = safe_get(mix_times, i)
-                if mix_vol is not None:
-                    kwargs['mix_vol'] = safe_get(mix_vol, i)
-                if mix_rate is not None:
-                    kwargs['mix_rate'] = safe_get(mix_rate, i)
-                if mix_liquid_height is not None:
-                    kwargs['mix_liquid_height'] = safe_get(mix_liquid_height, i)
-                if delays is not None:
-                    kwargs['delays'] = safe_get(delays, i)
-
-                await self._transfer_base_method(**kwargs)
-
-    
-
-        # if num_sources == 1 and num_targets > 1:
-        #     # 模式1: 一对多 (1 source -> N targets)
-        #     await self._transfer_one_to_many(
-        #         sources,
-        #         targets,
-        #         tip_racks,
-        #         use_channels,
-        #         asp_vols,
-        #         dis_vols,
-        #         asp_flow_rates,
-        #         dis_flow_rates,
-        #         offsets,
-        #         touch_tip,
-        #         liquid_height,
-        #         blow_out_air_volume,
-        #         spread,
-        #         mix_stage,
-        #         mix_times,
-        #         mix_vol,
-        #         mix_rate,
-        #         mix_liquid_height,
-        #         delays,
-        #     )
-        # elif num_sources > 1 and num_targets == 1:
-        #     # 模式2: 多对一 (N sources -> 1 target)
-        #     await self._transfer_many_to_one(
-        #         sources,
-        #         targets[0],
-        #         tip_racks,
-        #         use_channels,
-        #         asp_vols,
-        #         dis_vols,
-        #         asp_flow_rates,
-        #         dis_flow_rates,
-        #         offsets,
-        #         touch_tip,
-        #         liquid_height,
-        #         blow_out_air_volume,
-        #         spread,
-        #         mix_stage,
-        #         mix_times,
-        #         mix_vol,
-        #         mix_rate,
-        #         mix_liquid_height,
-        #         delays,
-        #     )
-        # elif num_sources == num_targets:
-        #     # 模式3: 一对一 (N sources -> N targets)
-        #     await self._transfer_one_to_one(
-        #         sources,
-        #         targets,
-        #         tip_racks,
-        #         use_channels,
-        #         asp_vols,
-        #         dis_vols,
-        #         asp_flow_rates,
-        #         dis_flow_rates,
-        #         offsets,
-        #         touch_tip,
-        #         liquid_height,
-        #         blow_out_air_volume,
-        #         spread,
-        #         mix_stage,
-        #         mix_times,
-        #         mix_vol,
-        #         mix_rate,
-        #         mix_liquid_height,
-        #         delays,
-        #     )
-        # else:
-        #     raise ValueError(
-        #         f"Unsupported transfer mode: {num_sources} sources -> {num_targets} targets. "
-        #         "Supported modes: 1->N, N->1, or N->N."
-        #     )
+        if num_sources == 1 and num_targets > 1:
+            # 模式1: 一对多 (1 source -> N targets)
+            await self._transfer_one_to_many(
+                sources[0],
+                targets,
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
+            )
+        elif num_sources > 1 and num_targets == 1:
+            # 模式2: 多对一 (N sources -> 1 target)
+            await self._transfer_many_to_one(
+                sources,
+                targets[0],
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
+            )
+        elif num_sources == num_targets:
+            # 模式3: 一对一 (N sources -> N targets)
+            await self._transfer_one_to_one(
+                sources,
+                targets,
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
+            )
+        else:
+            raise ValueError(
+                f"Unsupported transfer mode: {num_sources} sources -> {num_targets} targets. "
+                "Supported modes: 1->N, N->1, or N->N."
+            )
 
         return TransferLiquidReturn(
             sources=ResourceTreeSet.from_plr_resources(list(sources), known_newly_created=False).dump(),  # type: ignore
             targets=ResourceTreeSet.from_plr_resources(list(targets), known_newly_created=False).dump(),  # type: ignore
         )
-    async def _transfer_base_method(
-        self,
-        sources: Sequence[Container],
-        targets: Sequence[Container],
-        tip_racks: Sequence[TipRack],
-        use_channels: List[int],
-        asp_vols: List[float],
-        dis_vols: List[float],
-        **kwargs
-    ):
 
-        # 从kwargs中提取参数，提供默认值
-        asp_flow_rates = kwargs.get('asp_flow_rates')
-        dis_flow_rates = kwargs.get('dis_flow_rates')
-        offsets = kwargs.get('offsets')
-        touch_tip = kwargs.get('touch_tip', False)
-        liquid_height = kwargs.get('liquid_height')
-        blow_out_air_volume = kwargs.get('blow_out_air_volume')
-        spread = kwargs.get('spread', 'wide')
-        mix_stage = kwargs.get('mix_stage')
-        mix_times = kwargs.get('mix_times')
-        mix_vol = kwargs.get('mix_vol')
-        mix_rate = kwargs.get('mix_rate')
-        mix_liquid_height = kwargs.get('mix_liquid_height')
-        delays = kwargs.get('delays')
-
-        tip = []
-        tip.extend(self._get_next_tip())
-        await self.pick_up_tips(tip)
-
-        if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
-            await self.mix(
-                targets=[targets[0]],
-                mix_time=mix_times,
-                mix_vol=mix_vol,
-                offsets=offsets if offsets else None,
-                height_to_bottom=mix_liquid_height if mix_liquid_height else None,
-                mix_rate=mix_rate if mix_rate else None,
-                use_channels=use_channels,
-            )
-
-        await self.aspirate(
-            resources=[sources[0]],
-            vols=[asp_vols[0]],
-            use_channels=use_channels,
-            flow_rates=[asp_flow_rates[0]] if asp_flow_rates and len(asp_flow_rates) > 0 else None,
-            offsets=[offsets[0]] if offsets and len(offsets) > 0 else None,
-            liquid_height=[liquid_height[0]] if liquid_height and len(liquid_height) > 0 else None,
-            blow_out_air_volume=(
-                [blow_out_air_volume[0]] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
-            ),
-            spread=spread,
-        )
-        if delays is not None:
-            await self.custom_delay(seconds=delays[0])
-        await self.dispense(
-            resources=[targets[0]],
-            vols=[dis_vols[0]],
-            use_channels=use_channels,
-            flow_rates=[dis_flow_rates[0]] if dis_flow_rates and len(dis_flow_rates) > 0 else None,
-            offsets=[offsets[0]] if offsets and len(offsets) > 0 else None,
-            blow_out_air_volume=(
-                [blow_out_air_volume[0]] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
-            ),
-            liquid_height=[liquid_height[0]] if liquid_height and len(liquid_height) > 0 else None,
-            spread=spread,
-        )
-        if delays is not None and len(delays) > 1:
-            await self.custom_delay(seconds=delays[1])
-        if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
-            await self.mix(
-                targets=[targets[0]],
-                mix_time=mix_times,
-                mix_vol=mix_vol,
-                offsets=offsets if offsets else None,
-                height_to_bottom=mix_liquid_height if mix_liquid_height else None,
-                mix_rate=mix_rate if mix_rate else None,
-                use_channels=use_channels,
-            )
-        if delays is not None and len(delays) > 1:
-            await self.custom_delay(seconds=delays[0])
-        await self.touch_tip(targets[0])
-        await self.discard_tips(use_channels=use_channels)
-        
     async def _transfer_one_to_one(
         self,
         sources: Sequence[Container],
@@ -1495,23 +1300,17 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         """一对一传输模式：N sources -> N targets"""
         # 验证参数长度
         if len(asp_vols) != len(targets):
-            if len(asp_vols) == 1:
-                asp_vols = [asp_vols[0]] * len(targets)
-            else:
-                raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
+            raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
         if len(dis_vols) != len(targets):
-            if len(dis_vols) == 1:
-                dis_vols = [dis_vols[0]] * len(targets)
-            else:
-                raise ValueError(f"Length of `dis_vols` {len(dis_vols)} must match `targets` {len(targets)}.")
+            raise ValueError(f"Length of `dis_vols` {len(dis_vols)} must match `targets` {len(targets)}.")
         if len(sources) != len(targets):
             raise ValueError(f"Length of `sources` {len(sources)} must match `targets` {len(targets)}.")
 
-        if len(use_channels) != 1:
+        if len(use_channels) == 1:
             for _ in range(len(targets)):
                 tip = []
                 for ___ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
+                    tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
                 if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
@@ -1522,7 +1321,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
 
                 await self.aspirate(
@@ -1561,7 +1359,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
@@ -1575,7 +1372,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
             for i in range(0, len(targets), 8):
                 tip = []
                 for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
+                    tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
                 current_targets = targets[i : i + 8]
                 current_reagent_sources = sources[i : i + 8]
@@ -1598,7 +1395,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
 
                 await self.aspirate(
@@ -1635,7 +1431,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
@@ -1680,7 +1475,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
             # 单通道模式：一次吸液，多次分液
             tip = []
             for _ in range(len(use_channels)):
-                tip.extend(self._get_next_tip())
+                tip.extend(next(self.current_tip))
             await self.pick_up_tips(tip)
 
             if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
@@ -1692,7 +1487,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets[idx : idx + 1] if offsets and len(offsets) > idx else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
 
             # 从源容器吸液（总体积）
@@ -1736,7 +1530,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets[idx : idx + 1] if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
                 if touch_tip:
                     await self.touch_tip([target])
@@ -1752,7 +1545,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
             for i in range(0, len(targets), 8):
                 tip = []
                 for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
+                    tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
                 current_targets = targets[i : i + 8]
@@ -1780,7 +1573,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets[i : i + 8] if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
 
                 # 从源容器吸液（8个通道都从同一个源，但每个通道的吸液体积不同）
@@ -1826,7 +1618,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         offsets=offsets if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
-                        use_channels=use_channels,
                     )
 
                 if touch_tip:
@@ -1859,11 +1650,8 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         """多对一传输模式：N sources -> 1 target（汇总/混合）"""
         # 验证和扩展体积参数
         if len(asp_vols) != len(sources):
-            if len(asp_vols) == 1:
-                asp_vols = [asp_vols[0]] * len(sources)
-            else:
-                raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `sources` {len(sources)}.")
-        
+            raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `sources` {len(sources)}.")
+
         # 支持两种模式：
         # 1. dis_vols 为单个值：所有源汇总，使用总吸液体积或指定分液体积
         # 2. dis_vols 长度等于 asp_vols：每个源按不同比例分液（按比例混合）
@@ -1881,19 +1669,10 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 f"(matching `asp_vols`). Got length {len(dis_vols)}."
             )
 
-        need_mix_after = mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0
-        defer_final_discard = need_mix_after or touch_tip
-
         if len(use_channels) == 1:
             # 单通道模式：多次吸液，一次分液
-
-            # 如果需要 before mix，先 pick up tip 并执行 mix
+            # 先混合前（如果需要）
             if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
-                tip = []
-                for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
-                await self.pick_up_tips(tip)
-
                 await self.mix(
                     targets=[target],
                     mix_time=mix_times,
@@ -1901,16 +1680,13 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     offsets=offsets[0:1] if offsets else None,
                     height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                     mix_rate=mix_rate if mix_rate else None,
-                    use_channels=use_channels,
                 )
 
-                await self.discard_tips(use_channels=use_channels)
-
             # 从每个源容器吸液并分液到目标容器
             for idx, source in enumerate(sources):
                 tip = []
                 for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
+                    tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
                 await self.aspirate(
@@ -1963,11 +1739,10 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
 
-                if not (defer_final_discard and idx == len(sources) - 1):
-                    await self.discard_tips(use_channels=use_channels)
+                await self.discard_tips(use_channels=use_channels)
 
             # 最后在目标容器中混合（如果需要）
-            if need_mix_after:
+            if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
                 await self.mix(
                     targets=[target],
                     mix_time=mix_times,
@@ -1975,15 +1750,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     offsets=offsets[0:1] if offsets else None,
                     height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                     mix_rate=mix_rate if mix_rate else None,
-                    use_channels=use_channels,
                 )
 
             if touch_tip:
                 await self.touch_tip([target])
 
-            if defer_final_discard:
-                await self.discard_tips(use_channels=use_channels)
-        
         elif len(use_channels) == 8:
             # 8通道模式：需要确保源数量是8的倍数
             if len(sources) % 8 != 0:
@@ -1991,11 +1762,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
 
             # 每次处理8个源
             if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
-                tip = []
-                for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
-                await self.pick_up_tips(tip)
-
                 await self.mix(
                     targets=[target],
                     mix_time=mix_times,
@@ -2003,15 +1769,12 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     offsets=offsets[0:1] if offsets else None,
                     height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                     mix_rate=mix_rate if mix_rate else None,
-                    use_channels=use_channels,
                 )
 
-                await self.discard_tips([0,1,2,3,4,5,6,7])
-
             for i in range(0, len(sources), 8):
                 tip = []
                 for _ in range(len(use_channels)):
-                    tip.extend(self._get_next_tip())
+                    tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
                 current_sources = sources[i : i + 8]
@@ -2070,11 +1833,10 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
 
-                if not (defer_final_discard and i + 8 >= len(sources)):
-                    await self.discard_tips([0,1,2,3,4,5,6,7])
+                await self.discard_tips([0, 1, 2, 3, 4, 5, 6, 7])
 
             # 最后在目标容器中混合（如果需要）
-            if need_mix_after:
+            if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
                 await self.mix(
                     targets=[target],
                     mix_time=mix_times,
@@ -2082,15 +1844,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     offsets=offsets[0:1] if offsets else None,
                     height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                     mix_rate=mix_rate if mix_rate else None,
-                    use_channels=use_channels,
                 )
 
             if touch_tip:
                 await self.touch_tip([target])
 
-            if defer_final_discard:
-                await self.discard_tips([0,1,2,3,4,5,6,7])
-
     # except Exception as e:
     #     traceback.print_exc()
     #     raise RuntimeError(f"Liquid addition failed: {e}") from e
@@ -2109,12 +1867,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 print(f"Waiting time: {msg}")
                 print(f"Current time: {time.strftime('%H:%M:%S')}")
                 print(f"Time to finish: {time.strftime('%H:%M:%S', time.localtime(time.time() + seconds))}")
-            # Use ROS node sleep if available, otherwise use asyncio.sleep
-            if hasattr(self, '_ros_node') and self._ros_node is not None:
-                await self._ros_node.sleep(seconds)
-            else:
-                import asyncio
-                await asyncio.sleep(seconds)
+            await self._ros_node.sleep(seconds)
             if msg:
                 print(f"Done: {msg}")
                 print(f"Current time: {time.strftime('%H:%M:%S')}")
@@ -2152,73 +1905,34 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         height_to_bottom: Optional[float] = None,
         offsets: Optional[Coordinate] = None,
         mix_rate: Optional[float] = None,
-        use_channels: Optional[List[int]] = None,
         none_keys: List[str] = [],
     ):
-        if mix_time is None or mix_time <= 0:  # No mixing required
+        if mix_time is None:  # No mixing required
             return
         """Mix the liquid in the target wells."""
-        if mix_vol is None:
-            raise ValueError("`mix_vol` must be provided when `mix_time` is set.")
-
-        targets_list: List[Container] = list(targets)
-        if len(targets_list) == 0:
-            return
-
-        def _expand(value, count: int):
-            if value is None:
-                return [None] * count
-            if isinstance(value, (list, tuple)):
-                if len(value) != count:
-                    raise ValueError("Length of per-target parameters must match targets.")
-                return list(value)
-            return [value] * count
-
-        offsets_list = _expand(offsets, len(targets_list))
-        heights_list = _expand(height_to_bottom, len(targets_list))
-        rates_list = _expand(mix_rate, len(targets_list))
-
         for _ in range(mix_time):
-            for idx, target in enumerate(targets_list):
-                offset_arg = (
-                    [offsets_list[idx]] if offsets_list[idx] is not None else None
-                )
-                height_arg = (
-                    [heights_list[idx]] if heights_list[idx] is not None else None
-                )
-                rate_arg = [rates_list[idx]] if rates_list[idx] is not None else None
-
-                await self.aspirate(
-                    resources=[target],
-                    vols=[mix_vol],
-                    use_channels=use_channels,
-                    flow_rates=rate_arg,
-                    offsets=offset_arg,
-                    liquid_height=height_arg,
-                )
-                await self.custom_delay(seconds=1)
-                await self.dispense(
-                    resources=[target],
-                    vols=[mix_vol],
-                    use_channels=use_channels,
-                    flow_rates=rate_arg,
-                    offsets=offset_arg,
-                    liquid_height=height_arg,
-                )
+            await self.aspirate(
+                resources=[targets],
+                vols=[mix_vol],
+                flow_rates=[mix_rate] if mix_rate else None,
+                offsets=[offsets] if offsets else None,
+                liquid_height=[height_to_bottom] if height_to_bottom else None,
+            )
+            await self.custom_delay(seconds=1)
+            await self.dispense(
+                resources=[targets],
+                vols=[mix_vol],
+                flow_rates=[mix_rate] if mix_rate else None,
+                offsets=[offsets] if offsets else None,
+                liquid_height=[height_to_bottom] if height_to_bottom else None,
+            )
 
     def iter_tips(self, tip_racks: Sequence[TipRack]) -> Iterator[Resource]:
         """Yield tips from a list of TipRacks one-by-one until depleted."""
         for rack in tip_racks:
             for tip in rack:
                 yield tip
-        # raise RuntimeError("Out of tips!")
-
-    def _get_next_tip(self):
-        """从 current_tip 迭代器获取下一个 tip，耗尽时抛出明确错误而非 StopIteration"""
-        try:
-            return next(self.current_tip)
-        except StopIteration as e:
-            raise RuntimeError("Tip rack exhausted: no more tips available for transfer") from e
+        raise RuntimeError("Out of tips!")
 
     def set_tiprack(self, tip_racks: Sequence[TipRack]):
         """Set the tip racks for the liquid handler."""

unilabos/devices/liquid_handling/prcxi/prcxi.py

@@ -45,7 +45,6 @@ from pylabrobot.resources import (
     Trash,
     PlateAdapter,
     TubeRack,
-    create_homogeneous_resources,
 )
 
 from unilabos.devices.liquid_handling.liquid_handler_abstract import (
@@ -56,7 +55,6 @@ from unilabos.devices.liquid_handling.liquid_handler_abstract import (
     TransferLiquidReturn,
 )
 from unilabos.registry.placeholder_type import ResourceSlot
-from unilabos.resources.itemized_carrier import ItemizedCarrier
 from unilabos.resources.resource_tracker import ResourceTreeSet
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
 
@@ -93,15 +91,15 @@ class PRCXI9300Deck(Deck):
     该类定义了 PRCXI 9300 的工作台布局和槽位信息。
     """
 
-    # T1-T16 默认位置 (4列×4行, Y轴从上往下递减, T1在左上角)
+    # T1-T16 默认位置 (4列×4行)
     _DEFAULT_SITE_POSITIONS = [
-        (0, 288, 0), (138, 288, 0), (276, 288, 0), (414, 288, 0),   # T1-T4   (第1行, 最上)
-        (0, 192, 0), (138, 192, 0), (276, 192, 0), (414, 192, 0),   # T5-T8   (第2行)
-        (0, 96, 0),  (138, 96, 0),  (276, 96, 0),  (414, 96, 0),    # T9-T12  (第3行)
-        (0, 0, 0),   (138, 0, 0),   (276, 0, 0),   (414, 0, 0),     # T13-T16 (第4行, 最下)
+        (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
+        (0, 192, 0), (138, 192, 0), (276, 192, 0), (414, 192, 0), # T9-T12
+        (0, 288, 0), (138, 288, 0), (276, 288, 0), (414, 288, 0), # T13-T16
     ]
     _DEFAULT_SITE_SIZE = {"width": 128.0, "height": 86, "depth": 0}
-    _DEFAULT_CONTENT_TYPE = ["plate", "tip_rack", "plates", "tip_racks", "tube_rack", "adaptor", "plateadapter", "module"]
+    _DEFAULT_CONTENT_TYPE = ["plate", "tip_rack", "plates", "tip_racks", "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):
@@ -546,108 +544,6 @@ class PRCXI9300TubeRack(TubeRack):
         return data
 
 
-class PRCXI9300ModuleSite(ItemizedCarrier):
-    """
-    PRCXI 功能模块的基础站点类（加热/冷却/震荡/磁吸等）。
-
-    - 继承 ItemizedCarrier，可被拖放到 Deck 槽位上
-    - 顶面有一个 ResourceHolder 站点，可吸附板类资源（叠放）
-    - content_type 包含 "plateadapter" 以支持适配器叠放
-    - 支持 material_info 注入
-    """
-
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float,
-                 material_info: Optional[Dict[str, Any]] = None, **kwargs):
-        sites = create_homogeneous_resources(
-            klass=ResourceHolder,
-            locations=[Coordinate(0, 0, 0)],
-            resource_size_x=size_x,
-            resource_size_y=size_y,
-            resource_size_z=size_z,
-            name_prefix=name,
-        )[0]
-
-        kwargs.pop('layout', None)
-        sites_in = kwargs.pop('sites', None)
-
-        sites_dict = {name: sites}
-
-        content_type = [
-            "plate",
-            "tip_rack",
-            "plates",
-            "tip_racks",
-            "tube_rack",
-            "plateadapter",
-        ]
-
-        if sites_in is not None and isinstance(sites_in, dict):
-            for site_key, site_value in sites_in.items():
-                if site_key in sites_dict:
-                    sites_dict[site_key] = site_value
-
-        super().__init__(
-            name, size_x, size_y, size_z,
-            sites=sites_dict,
-            num_items_x=kwargs.pop('num_items_x', 1),
-            num_items_y=kwargs.pop('num_items_y', 1),
-            num_items_z=kwargs.pop('num_items_z', 1),
-            content_type=content_type,
-            **kwargs,
-        )
-        self._unilabos_state = {}
-        if material_info:
-            self._unilabos_state["Material"] = material_info
-
-    def assign_child_resource(self, resource, location=Coordinate(0, 0, 0), reassign=True, spot=None):
-        from pylabrobot.resources.resource import Resource
-        Resource.assign_child_resource(self, resource, location=location, reassign=reassign)
-
-    def unassign_child_resource(self, resource):
-        from pylabrobot.resources.resource import Resource
-        Resource.unassign_child_resource(self, resource)
-
-    def serialize_state(self) -> Dict[str, Dict[str, Any]]:
-        try:
-            data = super().serialize_state()
-        except AttributeError:
-            data = {}
-
-        if hasattr(self, 'sites') and self.sites:
-            sites_info = []
-            for site in self.sites:
-                if hasattr(site, '__class__') and 'pylabrobot' in str(site.__class__.__module__):
-                    sites_info.append({
-                        "__pylabrobot_object__": True,
-                        "class": site.__class__.__name__,
-                        "module": site.__class__.__module__,
-                        "name": getattr(site, 'name', str(site))
-                    })
-                else:
-                    sites_info.append(site)
-            data['sites'] = sites_info
-
-        if hasattr(self, "_unilabos_state") and self._unilabos_state:
-            safe_state: Dict[str, Any] = {}
-            for k, v in self._unilabos_state.items():
-                if k == "Material" and isinstance(v, dict):
-                    safe_material: Dict[str, Any] = {}
-                    for mk, mv in v.items():
-                        if isinstance(mv, (str, int, float, bool, list, dict, type(None))):
-                            safe_material[mk] = mv
-                    safe_state[k] = safe_material
-                elif isinstance(v, (str, int, float, bool, list, dict, type(None))):
-                    safe_state[k] = v
-            data.update(safe_state)
-
-        return data
-
-    def load_state(self, state: Dict[str, Any]) -> None:
-        super().load_state(state)
-        if 'sites' in state:
-            self.sites = [state['sites']]
-
-
 class PRCXI9300PlateAdapter(PlateAdapter):
     """
     专用板式适配器类：用于承载 Plate 的底座（如 PCR 适配器、磁吸架等）。

unilabos/devices/liquid_handling/prcxi/prcxi_modules.py

@@ -1,150 +0,0 @@
-from typing import Any, Dict, Optional
-
-from .prcxi import PRCXI9300ModuleSite
-
-
-class PRCXI9300FunctionalModule(PRCXI9300ModuleSite):
-    """
-    PRCXI 9300 功能模块基类（加热/冷却/震荡/加热震荡/磁吸等）。
-
-    设计目标：
-    - 作为一个可以在工作台上拖拽摆放的实体资源（继承自 PRCXI9300ModuleSite -> ItemizedCarrier）。
-    - 顶面存在一个站点（site），可吸附标准板类资源（plate / tip_rack / tube_rack 等）。
-    - 支持注入 `material_info` (UUID 等)，并且在 serialize_state 时做安全过滤。
-    """
-
-    def __init__(
-        self,
-        name: str,
-        size_x: float,
-        size_y: float,
-        size_z: float,
-        module_type: Optional[str] = None,
-        category: str = "module",
-        model: Optional[str] = None,
-        material_info: Optional[Dict[str, Any]] = None,
-        **kwargs: Any,
-    ):
-        super().__init__(
-            name=name,
-            size_x=size_x,
-            size_y=size_y,
-            size_z=size_z,
-            material_info=material_info,
-            model=model,
-            category=category,
-            **kwargs,
-        )
-
-        # 记录模块类型（加热 / 冷却 / 震荡 / 加热震荡 / 磁吸）
-        self.module_type = module_type or "generic"
-
-        # 与 PRCXI9300PlateAdapter 一致，使用 _unilabos_state 保存扩展信息
-        if not hasattr(self, "_unilabos_state") or self._unilabos_state is None:
-            self._unilabos_state = {}
-
-        # super().__init__ 已经在有 material_info 时写入 "Material"，这里仅确保存在
-        if material_info is not None and "Material" not in self._unilabos_state:
-            self._unilabos_state["Material"] = material_info
-
-        # 额外标记 category 和模块类型，便于前端或上层逻辑区分
-        self._unilabos_state.setdefault("category", category)
-        self._unilabos_state["module_type"] = module_type
-
-
-# ============================================================================
-# 具体功能模块定义
-# 这里的尺寸和 material_info 目前为占位参数，后续可根据实际测量/JSON 配置进行更新。
-# 顶面站点尺寸与模块外形一致，保证可以吸附标准 96 板/储液槽等。
-# ============================================================================
-
-
-def PRCXI_Heating_Module(name: str) -> PRCXI9300FunctionalModule:
-    """加热模块（顶面可吸附标准板）。"""
-    return PRCXI9300FunctionalModule(
-        name=name,
-        size_x=127.76,
-        size_y=85.48,
-        size_z=40.0,
-        module_type="heating",
-        model="PRCXI_Heating_Module",
-        material_info={
-            "uuid": "TODO-HEATING-MODULE-UUID",
-            "Code": "HEAT-MOD",
-            "Name": "PRCXI 加热模块",
-            "SupplyType": 3,
-        },
-    )
-
-
-def PRCXI_MetalCooling_Module(name: str) -> PRCXI9300FunctionalModule:
-    """金属冷却模块（顶面可吸附标准板）。"""
-    return PRCXI9300FunctionalModule(
-        name=name,
-        size_x=127.76,
-        size_y=85.48,
-        size_z=40.0,
-        module_type="metal_cooling",
-        model="PRCXI_MetalCooling_Module",
-        material_info={
-            "uuid": "TODO-METAL-COOLING-MODULE-UUID",
-            "Code": "METAL-COOL-MOD",
-            "Name": "PRCXI 金属冷却模块",
-            "SupplyType": 3,
-        },
-    )
-
-
-def PRCXI_Shaking_Module(name: str) -> PRCXI9300FunctionalModule:
-    """震荡模块（顶面可吸附标准板）。"""
-    return PRCXI9300FunctionalModule(
-        name=name,
-        size_x=127.76,
-        size_y=85.48,
-        size_z=50.0,
-        module_type="shaking",
-        model="PRCXI_Shaking_Module",
-        material_info={
-            "uuid": "TODO-SHAKING-MODULE-UUID",
-            "Code": "SHAKE-MOD",
-            "Name": "PRCXI 震荡模块",
-            "SupplyType": 3,
-        },
-    )
-
-
-def PRCXI_Heating_Shaking_Module(name: str) -> PRCXI9300FunctionalModule:
-    """加热震荡模块（顶面可吸附标准板）。"""
-    return PRCXI9300FunctionalModule(
-        name=name,
-        size_x=127.76,
-        size_y=85.48,
-        size_z=55.0,
-        module_type="heating_shaking",
-        model="PRCXI_Heating_Shaking_Module",
-        material_info={
-            "uuid": "TODO-HEATING-SHAKING-MODULE-UUID",
-            "Code": "HEAT-SHAKE-MOD",
-            "Name": "PRCXI 加热震荡模块",
-            "SupplyType": 3,
-        },
-    )
-
-
-def PRCXI_Magnetic_Module(name: str) -> PRCXI9300FunctionalModule:
-    """磁吸模块（顶面可吸附标准板）。"""
-    return PRCXI9300FunctionalModule(
-        name=name,
-        size_x=127.76,
-        size_y=85.48,
-        size_z=30.0,
-        module_type="magnetic",
-        model="PRCXI_Magnetic_Module",
-        material_info={
-            "uuid": "TODO-MAGNETIC-MODULE-UUID",
-            "Code": "MAG-MOD",
-            "Name": "PRCXI 磁吸模块",
-            "SupplyType": 3,
-        },
-    )
-

unilabos/devices/virtual/virtual_multiway_valve.py

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

unilabos/devices/virtual/virtual_stirrer.py

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

unilabos/devices/virtual/virtual_transferpump.py

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

unilabos/devices/virtual/workbench.py

@@ -22,10 +22,11 @@ from threading import Lock, RLock
 from typing_extensions import TypedDict
 
 from unilabos.registry.decorators import (
-    device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action
+    device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action, NodeType
 )
-from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
-from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample
+from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
+from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
+from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample, ResourceTreeSet
 
 
 # ============ TypedDict 返回类型定义 ============
@@ -290,6 +291,126 @@ class VirtualWorkbench:
         self._update_data_status(f"机械臂已释放 (完成: {task})")
         self.logger.info(f"机械臂已释放 (完成: {task})")
 
+    @action(
+        always_free=True, node_type=NodeType.MANUAL_CONFIRM, placeholder_keys={
+            "assignee_user_ids": "unilabos_manual_confirm"
+        }, goal_default={
+            "timeout_seconds": 3600,
+            "assignee_user_ids": []
+        }, feedback_interval=300,
+        handles=[
+            ActionInputHandle(key="target_device", data_type="device_id",
+                              label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="resource", data_type="resource",
+                              label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="mount_resource", data_type="resource",
+                              label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+
+            ActionInputHandle(key="collector_mass", data_type="collector_mass",
+                              label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="active_material", data_type="active_material",
+                              label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="capacity", data_type="capacity",
+                              label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="battery_system", data_type="battery_system",
+                              label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
+            # transfer使用
+            ActionOutputHandle(key="target_device", data_type="device_id",
+                               label="目标设备", data_key="target_device", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="resource", data_type="resource",
+                              label="待转移资源", data_key="resource.@flatten", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="mount_resource", data_type="resource",
+                              label="目标孔位", data_key="mount_resource.@flatten", data_source=DataSource.EXECUTOR),
+            # test使用
+            ActionOutputHandle(key="collector_mass", data_type="collector_mass",
+                              label="极流体质量", data_key="collector_mass", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="active_material", data_type="active_material",
+                              label="活性物质含量", data_key="active_material", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="capacity", data_type="capacity",
+                              label="克容量", data_key="capacity", data_source=DataSource.EXECUTOR),
+            ActionOutputHandle(key="battery_system", data_type="battery_system",
+                              label="电池体系", data_key="battery_system", data_source=DataSource.EXECUTOR),
+        ]
+    )
+    def manual_confirm(
+        self,
+        resource: List[ResourceSlot],
+        target_device: DeviceSlot,
+        mount_resource: List[ResourceSlot],
+        collector_mass: List[float],
+        active_material: List[float],
+        capacity: List[float],
+        battery_system: List[str],
+        timeout_seconds: int,
+        assignee_user_ids: list[str],
+        **kwargs
+    ) -> dict:
+        """
+        timeout_seconds: 超时时间（秒），默认3600秒
+        collector_mass: 极流体质量
+        active_material: 活性物质含量
+        capacity: 克容量（mAh/g）
+        battery_system: 电池体系
+        修改的结果无效，是只读的
+        """
+        resource = ResourceTreeSet.from_plr_resources(resource).dump()
+        mount_resource = ResourceTreeSet.from_plr_resources(mount_resource).dump()
+        kwargs.update(locals())
+        kwargs.pop("kwargs")
+        kwargs.pop("self")
+        return kwargs
+
+    @action(
+        description="转移物料",
+        handles=[
+            ActionInputHandle(key="target_device", data_type="device_id",
+                              label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="resource", data_type="resource",
+                               label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="mount_resource", data_type="resource",
+                               label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+        ]
+    )
+    async def transfer(self, resource: List[ResourceSlot], target_device: DeviceSlot, mount_resource: List[ResourceSlot]):
+        future = ROS2DeviceNode.run_async_func(self._ros_node.transfer_resource_to_another, True,
+            **{
+                "plr_resources": resource,
+                "target_device_id": target_device,
+                "target_resources": mount_resource,
+                "sites": [None] * len(mount_resource),
+            })
+        result = await future
+        return result
+
+
+    @action(
+        description="扣电测试启动",
+        handles=[
+            ActionInputHandle(key="resource", data_type="resource",
+                              label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="mount_resource", data_type="resource",
+                              label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
+
+            ActionInputHandle(key="collector_mass", data_type="collector_mass",
+                              label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="active_material", data_type="active_material",
+                              label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="capacity", data_type="capacity",
+                              label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
+            ActionInputHandle(key="battery_system", data_type="battery_system",
+                              label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
+        ]
+    )
+    async def test(
+        self, resource: List[ResourceSlot], mount_resource: List[ResourceSlot],  collector_mass: List[float], active_material: List[float], capacity: List[float], battery_system: list[str]
+    ):
+        print(resource)
+        print(mount_resource)
+        print(collector_mass)
+        print(active_material)
+        print(capacity)
+        print(battery_system)
+
     @action(
         auto_prefix=True,
         description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",

unilabos/devices/workstation/README.md

@@ -1,9 +1,5 @@
 # 工作站抽象基类物料系统架构说明
 
-## 设计理念
-
-基于用户需求"请你帮我系统思考一下，工作站抽象基类的物料系统基类该如何构建"，我们最终确定了一个**PyLabRobot Deck为中心**的简化架构。
-
 ### 核心原则
 
 1. **PyLabRobot为物料管理核心**：使用PyLabRobot的Deck系统作为物料管理的基础，利用其成熟的Resource体系

unilabos/devices/workstation/bioyond_studio/bioyond_cell/20251229_多订单返回说明.md

@@ -0,0 +1,113 @@
+# Bioyond Cell 工作站 - 多订单返回示例
+
+本文档说明了 `create_orders` 函数如何收集并返回所有订单的完成报文。
+
+## 问题描述
+
+之前的实现只会等待并返回第一个订单的完成报文，如果有多个订单（例如从 Excel 解析出 3 个订单），只能得到第一个订单的推送信息。
+
+## 解决方案
+
+修改后的 `create_orders` 函数现在会：
+
+1. **提取所有 orderCode**：从 LIMS 接口返回的 `data` 列表中提取所有订单编号
+2. **逐个等待完成**：遍历所有 orderCode，调用 `wait_for_order_finish` 等待每个订单完成
+3. **收集所有报文**：将每个订单的完成报文存入 `all_reports` 列表
+4. **统一返回**：返回包含所有订单报文的 JSON 格式数据
+
+## 返回格式
+
+```json
+{
+    "status": "all_completed",
+    "total_orders": 3,
+    "reports": [
+        {
+            "token": "",
+            "request_time": "2025-12-24T15:32:09.2148671+08:00",
+            "data": {
+                "orderId": "3a1e614d-a082-c44a-60be-68647a35e6f1",
+                "orderCode": "BSO2025122400024",
+                "orderName": "DP20251224001",
+                "status": "30",
+                "workflowStatus": "completed",
+                "usedMaterials": [...]
+            }
+        },
+        {
+            "token": "",
+            "request_time": "2025-12-24T15:32:09.9999039+08:00",
+            "data": {
+                "orderId": "3a1e614d-a0a2-f7a9-9360-610021c9479d",
+                "orderCode": "BSO2025122400025",
+                "orderName": "DP20251224002",
+                "status": "30",
+                "workflowStatus": "completed",
+                "usedMaterials": [...]
+            }
+        },
+        {
+            "token": "",
+            "request_time": "2025-12-24T15:34:00.4139986+08:00",
+            "data": {
+                "orderId": "3a1e614d-a0cd-81ca-9f7f-2f4e93af01cd",
+                "orderCode": "BSO2025122400026",
+                "orderName": "DP20251224003",
+                "status": "30",
+                "workflowStatus": "completed",
+                "usedMaterials": [...]
+            }
+        }
+    ],
+    "original_response": {...}
+}
+```
+
+## 使用示例
+
+```python
+# 调用 create_orders
+result = workstation.create_orders("20251224.xlsx")
+
+# 访问返回数据
+print(f"总订单数: {result['total_orders']}")
+print(f"状态: {result['status']}")
+
+# 遍历所有订单的报文
+for i, report in enumerate(result['reports'], 1):
+    order_data = report.get('data', {})
+    print(f"\n订单 {i}:")
+    print(f"  orderCode: {order_data.get('orderCode')}")
+    print(f"  orderName: {order_data.get('orderName')}")
+    print(f"  status: {order_data.get('status')}")
+    print(f"  使用物料数: {len(order_data.get('usedMaterials', []))}")
+```
+
+## 控制台输出示例
+
+```
+[create_orders] 即将提交订单数量: 3
+[create_orders] 接口返回: {...}
+[create_orders] 等待 3 个订单完成: ['BSO2025122400024', 'BSO2025122400025', 'BSO2025122400026']
+[create_orders] 正在等待第 1/3 个订单: BSO2025122400024
+[create_orders] ✓ 订单 BSO2025122400024 完成
+[create_orders] 正在等待第 2/3 个订单: BSO2025122400025
+[create_orders] ✓ 订单 BSO2025122400025 完成
+[create_orders] 正在等待第 3/3 个订单: BSO2025122400026
+[create_orders] ✓ 订单 BSO2025122400026 完成
+[create_orders] 所有订单已完成，共收集 3 个报文
+实验记录本========================create_orders========================
+返回报文数量: 3
+报文 1: orderCode=BSO2025122400024, status=30
+报文 2: orderCode=BSO2025122400025, status=30
+报文 3: orderCode=BSO2025122400026, status=30
+========================
+```
+
+## 关键改进
+
+1. ✅ **等待所有订单**：不再只等待第一个订单，而是遍历所有 orderCode
+2. ✅ **收集完整报文**：每个订单的完整推送报文都被保存在 `reports` 数组中
+3. ✅ **详细日志**：清晰显示正在等待哪个订单，以及完成情况
+4. ✅ **错误处理**：即使某个订单失败，也会记录其状态信息
+5. ✅ **统一格式**：返回的 JSON 格式便于后续处理和分析

unilabos/devices/workstation/bioyond_studio/bioyond_cell/20260113_JSON配置迁移经验.md

@@ -0,0 +1,204 @@
+# BioyondCellWorkstation JSON 配置迁移经验总结
+
+**日期**: 2026-01-13  
+**目的**: 从 `config.py` 迁移到 JSON 配置文件
+
+---
+
+## 问题背景
+
+原系统通过 `config.py` 管理配置，导致：
+1. HTTP 服务重复启动（父类 `BioyondWorkstation` 和子类都启动）
+2. 配置分散在代码中，不便于管理
+3. 无法通过 JSON 统一配置所有参数
+
+---
+
+## 解决方案：嵌套配置结构
+
+### JSON 结构设计
+
+**正确示例** (嵌套在 `config` 中):
+```json
+{
+  "nodes": [{
+    "id": "bioyond_cell_workstation",
+    "config": {
+      "deck": {...},
+      "protocol_type": [],
+      "bioyond_config": {
+        "api_host": "http://172.16.11.219:44388",
+        "api_key": "8A819E5C",
+        "timeout": 30,
+        "HTTP_host": "172.16.11.206",
+        "HTTP_port": 8080,
+        "debug_mode": false,
+        "material_type_mappings": {...},
+        "warehouse_mapping": {...},
+        "solid_liquid_mappings": {...}
+      }
+    },
+    "data": {}
+  }]
+}
+```
+
+**关键点**：
+- ✅ `bioyond_config` 放在 `config` 中（会传递到 `__init__`）
+- ❌ **不要**放在 `data` 中（`data` 是运行时状态，不会传递）
+
+---
+
+## Python 代码适配
+
+### 1. 修改 `BioyondCellWorkstation.__init__` 签名
+
+**文件**: `bioyond_cell_workstation.py`
+
+```python
+def __init__(self, bioyond_config: dict = None, deck=None, protocol_type=None, **kwargs):
+    """
+    Args:
+        bioyond_config: 从 JSON 加载的配置字典
+        deck: Deck 配置
+        protocol_type: 协议类型
+    """
+    # 验证配置
+    if bioyond_config is None:
+        raise ValueError("需要 bioyond_config 参数")
+    
+    # 保存配置
+    self.bioyond_config = bioyond_config
+    
+    # 设置 HTTP 服务去重标志
+    self.bioyond_config["_disable_auto_http_service"] = True
+    
+    # 调用父类
+    super().__init__(bioyond_config=self.bioyond_config, deck=deck, **kwargs)
+```
+
+### 2. 替换全局变量引用
+
+**修改前**（使用全局变量）:
+```python
+from config import MATERIAL_TYPE_MAPPINGS, WAREHOUSE_MAPPING
+
+def create_sample(self, board_type, ...):
+    carrier_type_id = MATERIAL_TYPE_MAPPINGS[board_type][1]
+    location_id = WAREHOUSE_MAPPING[warehouse_name]["site_uuids"][location_code]
+```
+
+**修改后**（从配置读取）:
+```python
+def create_sample(self, board_type, ...):
+    carrier_type_id = self.bioyond_config['material_type_mappings'][board_type][1]
+    location_id = self.bioyond_config['warehouse_mapping'][warehouse_name]["site_uuids"][location_code]
+```
+
+### 3. 修复父类配置访问
+
+在 `station.py` 中安全访问配置默认值：
+
+```python
+# 修改前（会 KeyError）
+self._http_service_config = {
+    "host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG["http_service_host"])
+}
+
+# 修改后（安全访问）
+self._http_service_config = {
+    "host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG.get("http_service_host", ""))
+}
+```
+
+---
+
+## 常见陷阱
+
+### ❌ 错误1：将配置放在 `data` 字段
+```json
+"config": {"deck": {...}},
+"data": {"bioyond_config": {...}}  // ❌ 不会传递到 __init__
+```
+
+### ❌ 错误2：扁平化配置（已废弃方案）
+虽然扁平化也能工作，但不推荐：
+```json
+"config": {
+  "deck": {...},
+  "api_host": "...",     // ❌ 不够清晰
+  "api_key": "...",
+  "HTTP_host": "..."
+}
+```
+
+### ❌ 错误3：忘记替换全局变量引用
+代码中直接使用 `MATERIAL_TYPE_MAPPINGS` 等全局变量会导致 `NameError`。
+
+---
+
+## 云端同步注意事项
+
+使用 `--upload_registry` 时，云端配置可能覆盖本地配置：
+- 首次上传时确保 JSON 完整
+- 或使用新的 `ak/sk` 避免旧配置干扰
+- 调试时可暂时移除 `--upload_registry` 参数
+
+---
+
+## 验证清单
+
+启动成功后应看到：
+```
+✅ 从 JSON 配置加载 bioyond_config 成功
+   API Host: http://...
+   HTTP Service: ...
+✅ BioyondCellWorkstation 初始化完成
+Loaded ResourceTreeSet with ... nodes
+```
+
+运行时不应出现：
+- ❌ `NameError: name 'MATERIAL_TYPE_MAPPINGS' is not defined`
+- ❌ `KeyError: 'http_service_host'`
+- ❌ `bioyond_config 缺少必需参数`
+
+---
+
+## 调试经验
+
+1. **添加调试日志**查看参数传递链路：
+   - `graphio.py`: JSON 加载后的 config 内容
+   - `initialize_device.py`: `device_config.res_content.config` 的键
+   - `bioyond_cell_workstation.py`: `__init__` 接收到的参数
+
+2. **config vs data 区别**：
+   - `config`: 初始化参数，传递给 `__init__`
+   - `data`: 运行时状态，不传递给 `__init__`
+
+3. **参数名必须匹配**：
+   - JSON 中的键名必须与 `__init__` 参数名完全一致
+
+4. **调试代码清理**：完成后记得删除调试日志（🔍 DEBUG 标记）
+
+---
+
+## 修改文件清单
+
+| 文件 | 修改内容 |
+|------|----------|
+| `yibin_electrolyte_config.json` | 创建嵌套 `config.bioyond_config` 结构 |
+| `bioyond_cell_workstation.py` | 修改 `__init__` 接收 `bioyond_config`，替换所有全局变量引用 |
+| `station.py` | 安全访问 `HTTP_SERVICE_CONFIG` 默认值 |
+
+---
+
+## 参考代码位置
+
+- JSON 配置示例: `yibin_electrolyte_config.json` L12-L353
+- `__init__` 实现: `bioyond_cell_workstation.py` L39-L94
+- 全局变量替换示例: `bioyond_cell_workstation.py` L2005, L1863, L1966
+- HTTP 服务配置: `station.py` L629-L634
+
+---
+
+**总结**: 使用嵌套结构将所有配置放在 `config.bioyond_config` 中，修改 `__init__` 直接接收该参数，并替换所有全局变量引用为 `self.bioyond_config` 访问。

unilabos/devices/workstation/bioyond_studio/bioyond_cell/20260113_配置迁移修改总结.md

@@ -0,0 +1,312 @@
+# BioyondCell 配置迁移修改总结
+
+**日期**: 2026-01-13  
+**目标**: 从 `config.py` 完全迁移到 JSON 配置，消除所有全局变量依赖
+
+---
+
+## 📋 修改概览
+
+本次修改完成了 BioyondCell 模块从 Python 配置文件到 JSON 配置的完整迁移，并清理了所有对 `config.py` 全局变量的依赖。
+
+### 核心成果
+
+- ✅ 完全移除对 `config.py` 的导入依赖
+- ✅ 使用嵌套 JSON 结构 `config.bioyond_config`
+- ✅ 修复 7 处 `bioyond_cell_workstation.py` 中的全局变量引用
+- ✅ 修复 3 处其他文件中的全局变量引用
+- ✅ HTTP 服务去重机制完善
+- ✅ 系统成功启动并正常运行
+
+---
+
+## 🔧 修改文件清单
+
+### 1. JSON 配置文件
+
+**文件**: `yibin_electrolyte_config.json`
+
+**修改**:
+- 采用嵌套结构将所有配置放在 `config.bioyond_config` 中
+- 包含：`api_host`, `api_key`, `HTTP_host`, `HTTP_port`, `material_type_mappings`, `warehouse_mapping`, `solid_liquid_mappings` 等
+
+**示例结构**:
+```json
+{
+  "nodes": [{
+    "id": "bioyond_cell_workstation",
+    "config": {
+      "deck": {...},
+      "protocol_type": [],
+      "bioyond_config": {
+        "api_host": "http://172.16.11.219:44388",
+        "api_key": "8A819E5C",
+        "HTTP_host": "172.16.11.206",
+        "HTTP_port": 8080,
+        "material_type_mappings": {...},
+        "warehouse_mapping": {...},
+        "solid_liquid_mappings": {...}
+      }
+    }
+  }]
+}
+```
+
+---
+
+### 2. bioyond_cell_workstation.py
+
+**位置**: `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
+
+#### 修改 A: `__init__` 方法签名 (L39-99)
+
+**修改前**:
+```python
+def __init__(self, deck=None, protocol_type=None, **kwargs):
+    # 从 kwargs 收集配置字段
+    self.bioyond_config = {}
+    for field in bioyond_field_names:
+        if field in kwargs:
+            self.bioyond_config[field] = kwargs.pop(field)
+```
+
+**修改后**:
+```python
+def __init__(self, bioyond_config: dict = None, deck=None, protocol_type=None, **kwargs):
+    """直接接收 bioyond_config 参数"""
+    if bioyond_config is None:
+        raise ValueError("需要 bioyond_config 参数")
+    
+    self.bioyond_config = bioyond_config
+    
+    # 设置 HTTP 服务去重标志
+    self.bioyond_config["_disable_auto_http_service"] = True
+    
+    super().__init__(bioyond_config=self.bioyond_config, deck=deck, **kwargs)
+```
+
+#### 修改 B: 替换全局变量引用 (7 处)
+
+| 位置 | 原代码 | 修改后 |
+|------|--------|--------|
+| L2005 | `MATERIAL_TYPE_MAPPINGS[board_type][1]` | `self.bioyond_config['material_type_mappings'][board_type][1]` |
+| L2006 | `MATERIAL_TYPE_MAPPINGS[bottle_type][1]` | `self.bioyond_config['material_type_mappings'][bottle_type][1]` |
+| L2009 | `WAREHOUSE_MAPPING` | `self.bioyond_config['warehouse_mapping']` |
+| L2013 | `WAREHOUSE_MAPPING[warehouse_name]` | `self.bioyond_config['warehouse_mapping'][warehouse_name]` |
+| L2017 | `WAREHOUSE_MAPPING[warehouse_name]["site_uuids"]` | `self.bioyond_config['warehouse_mapping'][warehouse_name]["site_uuids"]` |
+| L1863 | `SOLID_LIQUID_MAPPINGS.get(material_name)` | `self.bioyond_config.get('solid_liquid_mappings', {}).get(material_name)` |
+| L1966, L1976 | `MATERIAL_TYPE_MAPPINGS.items()` | `self.bioyond_config['material_type_mappings'].items()` |
+
+---
+
+### 3. station.py
+
+**位置**: `unilabos/devices/workstation/bioyond_studio/station.py`
+
+#### 修改 A: 删除 config 导入 (L26-28)
+
+**修改前**:
+```python
+from unilabos.devices.workstation.bioyond_studio.config import (
+    API_CONFIG, WORKFLOW_MAPPINGS, MATERIAL_TYPE_MAPPINGS, WAREHOUSE_MAPPING, HTTP_SERVICE_CONFIG
+)
+```
+
+**修改后**:
+```python
+# 已删除此导入
+```
+
+#### 修改 B: `_create_communication_module` 方法 (L691-702)
+
+**修改前**:
+```python
+def _create_communication_module(self, config: Optional[Dict[str, Any]] = None) -> None:
+    default_config = {
+        **API_CONFIG,
+        "workflow_mappings": WORKFLOW_MAPPINGS,
+        "material_type_mappings": MATERIAL_TYPE_MAPPINGS,
+        "warehouse_mapping": WAREHOUSE_MAPPING
+    }
+    if config:
+        self.bioyond_config = {**default_config, **config}
+    else:
+        self.bioyond_config = default_config
+```
+
+**修改后**:
+```python
+def _create_communication_module(self, config: Optional[Dict[str, Any]] = None) -> None:
+    """创建Bioyond通信模块"""
+    # 使用传入的 config 参数（来自 bioyond_config）
+    # 不再依赖全局变量 API_CONFIG 等
+    if config:
+        self.bioyond_config = config
+    else:
+        # 如果没有传入配置，创建空配置（用于测试或兼容性）
+        self.bioyond_config = {}
+    
+    self.hardware_interface = BioyondV1RPC(self.bioyond_config)
+```
+
+#### 修改 C: HTTP 服务配置 (L627-632)
+
+**修改前**:
+```python
+self._http_service_config = {
+    "host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG.get("http_service_host", "")),
+    "port": bioyond_config.get("http_service_port", HTTP_SERVICE_CONFIG.get("http_service_port", 0))
+}
+```
+
+**修改后**:
+```python
+self._http_service_config = {
+    "host": bioyond_config.get("http_service_host", bioyond_config.get("HTTP_host", "")),
+    "port": bioyond_config.get("http_service_port", bioyond_config.get("HTTP_port", 0))
+}
+```
+
+---
+
+### 4. bioyond_rpc.py
+
+**位置**: `unilabos/devices/workstation/bioyond_studio/bioyond_rpc.py`
+
+#### 修改 A: 删除 config 导入 (L12)
+
+**修改前**:
+```python
+from unilabos.devices.workstation.bioyond_studio.config import LOCATION_MAPPING
+```
+
+**修改后**:
+```python
+# 已删除此导入
+```
+
+#### 修改 B: `material_outbound` 方法 (L278-280)
+
+**修改前**:
+```python
+def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
+    """指定库位出库物料（通过库位名称）"""
+    location_id = LOCATION_MAPPING.get(location_name, location_name)
+```
+
+**修改后**:
+```python
+def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
+    """指定库位出库物料（通过库位名称）"""
+    # location_name 参数实际上应该直接是 location_id (UUID)
+    location_id = location_name
+```
+
+**说明**: `LOCATION_MAPPING` 在 `config-0113.py` 中本来就是空字典 `{}`，所以直接使用 `location_name` 逻辑等价。
+
+---
+
+## 🎯 关键设计决策
+
+### 1. 嵌套 vs 扁平配置
+
+**选择**: 嵌套结构 `config.bioyond_config`
+
+**理由**:
+- ✅ 语义清晰，配置分组明确
+- ✅ 参数传递直观，直接对应 `__init__` 参数
+- ✅ 易于维护，不需要硬编码字段列表
+- ✅ 符合 UniLab 设计模式
+
+### 2. HTTP 服务去重
+
+**实现**: 子类设置 `_disable_auto_http_service` 标志
+
+```python
+# bioyond_cell_workstation.py
+self.bioyond_config["_disable_auto_http_service"] = True
+
+# station.py (post_init)
+if self.bioyond_config.get("_disable_auto_http_service"):
+    logger.info("子类已自行管理HTTP服务，跳过自动启动")
+    return
+```
+
+### 3. 全局变量替换策略
+
+**原则**: 所有配置从 `self.bioyond_config` 获取
+
+**模式**:
+```python
+# 修改前
+from config import MATERIAL_TYPE_MAPPINGS
+carrier_type_id = MATERIAL_TYPE_MAPPINGS[board_type][1]
+
+# 修改后
+carrier_type_id = self.bioyond_config['material_type_mappings'][board_type][1]
+```
+
+---
+
+## ✅ 验证结果
+
+### 启动成功日志
+```
+✅ 从 JSON 配置加载 bioyond_config 成功
+   API Host: http://172.16.11.219:44388
+   HTTP Service: 172.16.11.206:8080
+🔧 已设置 _disable_auto_http_service 标志，防止 HTTP 服务重复启动
+✅ BioyondCellWorkstation 初始化完成
+Loaded ResourceTreeSet with 1 trees, 1785 total nodes
+```
+
+### 功能验证
+- ✅ 订单创建 (`create_orders_v2`)
+- ✅ 质量比计算
+- ✅ 物料转移 (`transfer_3_to_2_to_1`)
+- ✅ HTTP 报送接收 (step_finish, sample_finish, order_finish)
+- ✅ 等待机制 (`wait_for_order_finish`)
+- ✅ 仓库 UUID 映射
+- ✅ 物料类型映射
+
+---
+
+## 📚 相关文档
+
+- **配置迁移经验**: `2026-01-13_JSON配置迁移经验.md`
+- **任务清单**: `C:\Users\AndyXie\.gemini\antigravity\brain\...\task.md`
+- **实施计划**: `C:\Users\AndyXie\.gemini\antigravity\brain\...\implementation_plan.md`
+
+---
+
+## ⚠️ 注意事项
+
+### 其他工作站模块
+
+以下文件仍在使用 `config.py` 全局变量（未包含在本次修改中）:
+- `reaction_station.py` - 使用 `API_CONFIG`
+- `experiment.py` - 使用 `API_CONFIG`, `WORKFLOW_MAPPINGS`, `MATERIAL_TYPE_MAPPINGS`
+- `dispensing_station.py` - 使用 `API_CONFIG`, `WAREHOUSE_MAPPING`
+- `station.py` L176, L177, L529, L530 - 动态导入 `WAREHOUSE_MAPPING`
+
+**建议**: 后续可以统一迁移这些模块到 JSON 配置。
+
+### config.py 文件
+
+`config.py` 文件已恢复但**不再被 bioyond_cell 使用**。可以：
+- 保留作为其他模块的参考
+- 或者完全删除（如果其他模块也迁移完成）
+
+---
+
+## 🚀 下一步建议
+
+1. **清理调试代码** ✅ (已完成)
+2. **提交代码到 Git**
+3. **迁移其他工作站模块** (可选)
+4. **更新文档和启动脚本**
+
+---
+
+**修改完成日期**: 2026-01-13  
+**系统状态**: ✅ 稳定运行

unilabos/devices/workstation/bioyond_studio/bioyond_cell/批量出库模板使用说明.md

@@ -0,0 +1,157 @@
+# 批量出库 Excel 模板使用说明
+
+**文件**: `outbound_template.xlsx`  
+**用途**: 配合 `auto_batch_outbound_from_xlsx()` 方法进行批量出库操作  
+**API 端点**: `/api/lims/storage/auto-batch-out-bound`
+
+---
+
+## 📋 Excel 列说明
+
+| 列名 | 说明 | 示例 | 必填 |
+|------|------|------|------|
+| `locationId` | **库位 ID（UUID）** | `3a19da43-57b5-294f-d663-154a1cc32270` | ✅ 是 |
+| `warehouseId` | **仓库 ID 或名称** | `配液站内试剂仓库` | ✅ 是 |
+| `quantity` | **出库数量** | `1.0`, `2.0` | ✅ 是 |
+| `x` | **X 坐标（库位横向位置）** | `1`, `2`, `3` | ✅ 是 |
+| `y` | **Y 坐标（库位纵向位置）** | `1`, `2`, `3` | ✅ 是 |
+| `z` | **Z 坐标（库位层数/高度）** | `1`, `2`, `3` | ✅ 是 |
+| `备注说明` | 可选备注信息 | `配液站内试剂仓库-A01` | ❌ 否 |
+
+### 📐 坐标说明
+
+**x, y, z** 是库位在仓库内的**三维坐标**：
+
+```
+仓库（例如 WH4）
+├── Z=1（第1层/加样头面）
+│   ├── X=1, Y=1（位置 A）
+│   ├── X=2, Y=1（位置 B）
+│   ├── X=3, Y=1（位置 C）
+│   └── ...
+│
+└── Z=2（第2层/原液瓶面）
+    ├── X=1, Y=1（位置 A）
+    ├── X=2, Y=1（位置 B）
+    └── ...
+```
+
+- **warehouseId**: 指定哪个仓库（WH3, WH4, 配液站等）
+- **x, y, z**: 在该仓库内的三维坐标
+- **locationId**: 该坐标位置的唯一 UUID
+
+### 🎯 起点与终点
+
+**重要说明**：批量出库模板**只规定了出库的"起点"**（从哪里取物料），**没有指定"终点"**（放到哪里）。
+
+```
+出库流程：
+起点（Excel 指定） → ？终点（LIMS/工作流决定）
+    ↓
+locationId, x, y, z    → 由 LIMS 系统或当前工作流自动分配
+```
+
+**终点由以下方式确定：**
+- **LIMS 系统自动分配**：根据当前任务自动规划目标位置
+- **工作流预定义**：在创建出库任务时已绑定目标位置
+- **暂存区**：默认放到出库暂存区，等待下一步操作
+
+💡 **对比**：上料操作（`auto_feeding4to3`）则有 `targetWH` 参数可以指定目标仓库
+
+---
+
+## 🔍 如何获取 UUID？
+
+### 方法 1：从配置文件获取
+
+参考 `yibin_electrolyte_config.json` 中的 `warehouse_mapping`：
+
+```json
+{
+  "warehouse_mapping": {
+    "配液站内试剂仓库": {
+      "site_uuids": {
+        "A01": "3a19da43-57b5-294f-d663-154a1cc32270",
+        "B01": "3a19da43-57b5-7394-5f49-54efe2c9bef2",
+        "C01": "3a19da43-57b5-5e75-552f-8dbd0ad1075f"
+      }
+    },
+    "手动堆栈": {
+      "site_uuids": {
+        "A01": "3a19deae-2c7a-36f5-5e41-02c5b66feaea",
+        "A02": "3a19deae-2c7a-dc6d-c41e-ef285d946cfe"
+      }
+    }
+  }
+}
+```
+
+### 方法 2：通过 API 查询
+
+```python
+material_info = hardware_interface.material_id_query(workflow_id)
+locations = material_info.get("locations", [])
+```
+
+---
+
+## 📝 填写示例
+
+### 示例 1：从配液站内试剂仓库出库
+
+| locationId | warehouseId | quantity | x | y | z | 备注说明 |
+|------------|-------------|----------|---|---|---|----------|
+| `3a19da43-57b5-294f-d663-154a1cc32270` | 配液站内试剂仓库 | 1 | 1 | 1 | 1 | A01 位置 |
+| `3a19da43-57b5-7394-5f49-54efe2c9bef2` | 配液站内试剂仓库 | 2 | 2 | 1 | 1 | B01 位置 |
+
+### 示例 2：从手动堆栈出库
+
+| locationId | warehouseId | quantity | x | y | z | 备注说明 |
+|------------|-------------|----------|---|---|---|----------|
+| `3a19deae-2c7a-36f5-5e41-02c5b66feaea` | 手动堆栈 | 1 | 1 | 1 | 1 | A01 |
+| `3a19deae-2c7a-dc6d-c41e-ef285d946cfe` | 手动堆栈 | 1 | 1 | 2 | 1 | A02 |
+
+---
+
+## 💻 使用方法
+
+```python
+from bioyond_cell_workstation import BioyondCellWorkstation
+
+# 初始化工作站
+workstation = BioyondCellWorkstation(config=config, deck=deck)
+
+# 调用批量出库方法
+result = workstation.auto_batch_outbound_from_xlsx(
+    xlsx_path="outbound_template.xlsx"
+)
+```
+
+---
+
+## ⚠️ 注意事项
+
+1. **locationId 必须是有效的 UUID**，不能使用库位名称
+2. **x, y, z 坐标必须与 locationId 对应**，表示该库位在仓库内的位置
+3. **quantity 必须是数字**，可以是整数或浮点数
+4. Excel 文件必须包含表头行
+5. 空行会被自动跳过
+6. 确保 UUID 与实际库位对应，否则 API 会报错
+
+---
+
+## 📚 相关文件
+
+- **配置文件**: `yibin_electrolyte_config.json`
+- **Python 代码**: `bioyond_cell_workstation.py` (L630-695)
+- **生成脚本**: `create_outbound_template.py`
+- **上料模板**: `material_template.xlsx`
+
+---
+
+## 🔄 重新生成模板
+
+```bash
+conda activate newunilab
+python create_outbound_template.py
+```

unilabos/devices/workstation/bioyond_studio/bioyond_rpc.py

@@ -9,7 +9,7 @@ from datetime import datetime, timezone
 from unilabos.device_comms.rpc import BaseRequest
 from typing import Optional, List, Dict, Any
 import json
-from unilabos.devices.workstation.bioyond_studio.config import LOCATION_MAPPING
+
 
 
 class SimpleLogger:
@@ -49,6 +49,14 @@ class BioyondV1RPC(BaseRequest):
         self.config = config
         self.api_key = config["api_key"]
         self.host = config["api_host"]
+
+        # 初始化 location_mapping
+        # 直接从 warehouse_mapping 构建，确保数据源所谓的单一和结构化
+        self.location_mapping = {}
+        warehouse_mapping = self.config.get("warehouse_mapping", {})
+        for warehouse_name, warehouse_config in warehouse_mapping.items():
+            if "site_uuids" in warehouse_config:
+                self.location_mapping.update(warehouse_config["site_uuids"])
         self._logger = SimpleLogger()
         self.material_cache = {}
         self._load_material_cache()
@@ -176,7 +184,40 @@ class BioyondV1RPC(BaseRequest):
             return {}
 
         print(f"add material data: {response['data']}")
-        return response.get("data", {})
+
+        # 自动更新缓存
+        data = response.get("data", {})
+        if data:
+            if isinstance(data, str):
+                # 如果返回的是字符串，通常是ID
+                mat_id = data
+                name = params.get("name")
+            else:
+                # 如果返回的是字典，尝试获取name和id
+                name = data.get("name") or params.get("name")
+                mat_id = data.get("id")
+
+            if name and mat_id:
+                self.material_cache[name] = mat_id
+                print(f"已自动更新缓存: {name} -> {mat_id}")
+
+            # 处理返回数据中的 details (如果有)
+            # 有些 API 返回结构可能直接包含 details，或者在 data 字段中
+            details = data.get("details", []) if isinstance(data, dict) else []
+            if not details and isinstance(data, dict):
+                 details = data.get("detail", [])
+
+            if details:
+                for detail in details:
+                    d_name = detail.get("name")
+                    # 尝试从不同字段获取 ID
+                    d_id = detail.get("id") or detail.get("detailMaterialId")
+
+                    if d_name and d_id:
+                        self.material_cache[d_name] = d_id
+                        print(f"已自动更新 detail 缓存: {d_name} -> {d_id}")
+
+        return data
 
     def query_matial_type_id(self, data) -> list:
         """查找物料typeid"""
@@ -203,7 +244,7 @@ class BioyondV1RPC(BaseRequest):
             params={
                 "apiKey": self.api_key,
                 "requestTime": self.get_current_time_iso8601(),
-                "data": {},
+                "data": 0,
             })
         if not response or response['code'] != 1:
             return []
@@ -273,11 +314,19 @@ class BioyondV1RPC(BaseRequest):
 
         if not response or response['code'] != 1:
             return {}
+
+        # 自动更新缓存 - 移除被删除的物料
+        for name, mid in list(self.material_cache.items()):
+            if mid == material_id:
+                del self.material_cache[name]
+                print(f"已从缓存移除物料: {name}")
+                break
+
         return response.get("data", {})
 
     def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
         """指定库位出库物料（通过库位名称）"""
-        location_id = LOCATION_MAPPING.get(location_name, location_name)
+        location_id = self.location_mapping.get(location_name, location_name)
 
         params = {
             "materialId": material_id,
@@ -1103,6 +1152,10 @@ class BioyondV1RPC(BaseRequest):
                     for detail_material in detail_materials:
                         detail_name = detail_material.get("name")
                         detail_id = detail_material.get("detailMaterialId")
+                        if not detail_id:
+                            # 尝试其他可能的字段
+                            detail_id = detail_material.get("id")
+
                         if detail_name and detail_id:
                             self.material_cache[detail_name] = detail_id
                             print(f"加载detail材料: {detail_name} -> ID: {detail_id}")
@@ -1123,6 +1176,14 @@ class BioyondV1RPC(BaseRequest):
             print(f"从缓存找到材料: {material_name_or_id} -> ID: {material_id}")
             return material_id
 
+        # 如果缓存中没有，尝试刷新缓存
+        print(f"缓存中未找到材料 '{material_name_or_id}'，尝试刷新缓存...")
+        self.refresh_material_cache()
+        if material_name_or_id in self.material_cache:
+            material_id = self.material_cache[material_name_or_id]
+            print(f"刷新缓存后找到材料: {material_name_or_id} -> ID: {material_id}")
+            return material_id
+
         print(f"警告: 未在缓存中找到材料名称 '{material_name_or_id}'，将使用原值")
         return material_name_or_id
 

unilabos/devices/workstation/bioyond_studio/config.py

@@ -1,142 +0,0 @@
-# config.py
-"""
-配置文件 - 包含所有配置信息和映射关系
-"""
-
-# API配置
-API_CONFIG = {
-    "api_key": "",
-    "api_host": ""
-}
-
-# 工作流映射配置
-WORKFLOW_MAPPINGS = {
-    "reactor_taken_out": "",
-    "reactor_taken_in": "",
-    "Solid_feeding_vials": "",
-    "Liquid_feeding_vials(non-titration)": "",
-    "Liquid_feeding_solvents": "",
-    "Liquid_feeding(titration)": "",
-    "liquid_feeding_beaker": "",
-    "Drip_back": "",
-}
-
-# 工作流名称到DisplaySectionName的映射
-WORKFLOW_TO_SECTION_MAP = {
-    'reactor_taken_in': '反应器放入',
-    'liquid_feeding_beaker': '液体投料-烧杯',
-    'Liquid_feeding_vials(non-titration)': '液体投料-小瓶（非滴定）',
-    'Liquid_feeding_solvents': '液体投料-溶剂',
-    'Solid_feeding_vials': '固体投料-小瓶',
-    'Liquid_feeding(titration)': '液体投料-滴定',
-    'reactor_taken_out': '反应器取出'
-}
-
-# 库位映射配置
-WAREHOUSE_MAPPING = {
-    "粉末堆栈": {
-        "uuid": "",
-        "site_uuids": {
-            # 样品板
-            "A1": "3a14198e-6929-31f0-8a22-0f98f72260df",
-            "A2": "3a14198e-6929-4379-affa-9a2935c17f99",
-            "A3": "3a14198e-6929-56da-9a1c-7f5fbd4ae8af",
-            "A4": "3a14198e-6929-5e99-2b79-80720f7cfb54",
-            "B1": "3a14198e-6929-f525-9a1b-1857552b28ee",
-            "B2": "3a14198e-6929-bf98-0fd5-26e1d68bf62d",
-            "B3": "3a14198e-6929-2d86-a468-602175a2b5aa",
-            "B4": "3a14198e-6929-1a98-ae57-e97660c489ad",
-            # 分装板
-            "C1": "3a14198e-6929-46fe-841e-03dd753f1e4a",
-            "C2": "3a14198e-6929-1bc9-a9bd-3b7ca66e7f95",
-            "C3": "3a14198e-6929-72ac-32ce-9b50245682b8",
-            "C4": "3a14198e-6929-3bd8-e6c7-4a9fd93be118",
-            "D1": "3a14198e-6929-8a0b-b686-6f4a2955c4e2",
-            "D2": "3a14198e-6929-dde1-fc78-34a84b71afdf",
-            "D3": "3a14198e-6929-a0ec-5f15-c0f9f339f963",
-            "D4": "3a14198e-6929-7ac8-915a-fea51cb2e884"
-        }
-    },
-    "溶液堆栈": {
-        "uuid": "",
-        "site_uuids": {
-            "A1": "3a14198e-d724-e036-afdc-2ae39a7f3383",
-            "A2": "3a14198e-d724-afa4-fc82-0ac8a9016791",
-            "A3": "3a14198e-d724-ca48-bb9e-7e85751e55b6",
-            "A4": "3a14198e-d724-df6d-5e32-5483b3cab583",
-            "B1": "3a14198e-d724-d818-6d4f-5725191a24b5",
-            "B2": "3a14198e-d724-be8a-5e0b-012675e195c6",
-            "B3": "3a14198e-d724-cc1e-5c2c-228a130f40a8",
-            "B4": "3a14198e-d724-1e28-c885-574c3df468d0",
-            "C1": "3a14198e-d724-b5bb-adf3-4c5a0da6fb31",
-            "C2": "3a14198e-d724-ab4e-48cb-817c3c146707",
-            "C3": "3a14198e-d724-7f18-1853-39d0c62e1d33",
-            "C4": "3a14198e-d724-28a2-a760-baa896f46b66",
-            "D1": "3a14198e-d724-d378-d266-2508a224a19f",
-            "D2": "3a14198e-d724-f56e-468b-0110a8feb36a",
-            "D3": "3a14198e-d724-0cf1-dea9-a1f40fe7e13c",
-            "D4": "3a14198e-d724-0ddd-9654-f9352a421de9"
-        }
-    },
-    "试剂堆栈": {
-        "uuid": "",
-        "site_uuids": {
-            "A1": "3a14198c-c2cf-8b40-af28-b467808f1c36",
-            "A2": "3a14198c-c2d0-f3e7-871a-e470d144296f",
-            "A3": "3a14198c-c2d0-dc7d-b8d0-e1d88cee3094",
-            "A4": "3a14198c-c2d0-2070-efc8-44e245f10c6f",
-            "B1": "3a14198c-c2d0-354f-39ad-642e1a72fcb8",
-            "B2": "3a14198c-c2d0-1559-105d-0ea30682cab4",
-            "B3": "3a14198c-c2d0-725e-523d-34c037ac2440",
-            "B4": "3a14198c-c2d0-efce-0939-69ca5a7dfd39"
-        }
-    }
-}
-
-# 物料类型配置
-MATERIAL_TYPE_MAPPINGS = {
-    "烧杯": ("BIOYOND_PolymerStation_1FlaskCarrier", "3a14196b-24f2-ca49-9081-0cab8021bf1a"),
-    "试剂瓶": ("BIOYOND_PolymerStation_1BottleCarrier", ""),
-    "样品板": ("BIOYOND_PolymerStation_6StockCarrier", "3a14196e-b7a0-a5da-1931-35f3000281e9"),
-    "分装板": ("BIOYOND_PolymerStation_6VialCarrier", "3a14196e-5dfe-6e21-0c79-fe2036d052c4"),
-    "样品瓶": ("BIOYOND_PolymerStation_Solid_Stock", "3a14196a-cf7d-8aea-48d8-b9662c7dba94"),
-    "90%分装小瓶": ("BIOYOND_PolymerStation_Solid_Vial", "3a14196c-cdcf-088d-dc7d-5cf38f0ad9ea"),
-    "10%分装小瓶": ("BIOYOND_PolymerStation_Liquid_Vial", "3a14196c-76be-2279-4e22-7310d69aed68"),
-}
-
-# 步骤参数配置（各工作流的步骤UUID）
-WORKFLOW_STEP_IDS = {
-    "reactor_taken_in": {
-        "config": ""
-    },
-    "liquid_feeding_beaker": {
-        "liquid": "",
-        "observe": ""
-    },
-    "liquid_feeding_vials_non_titration": {
-        "liquid": "",
-        "observe": ""
-    },
-    "liquid_feeding_solvents": {
-        "liquid": "",
-        "observe": ""
-    },
-    "solid_feeding_vials": {
-        "feeding": "",
-        "observe": ""
-    },
-    "liquid_feeding_titration": {
-        "liquid": "",
-        "observe": ""
-    },
-    "drip_back": {
-        "liquid": "",
-        "observe": ""
-    }
-}
-
-LOCATION_MAPPING = {}
-
-ACTION_NAMES = {}
-
-HTTP_SERVICE_CONFIG = {}

unilabos/devices/workstation/bioyond_studio/config.py.deprecated

@@ -0,0 +1,329 @@
+# config.py
+"""
+Bioyond工作站配置文件
+包含API配置、工作流映射、物料类型映射、仓库库位映射等所有配置信息
+"""
+
+from unilabos.resources.bioyond.decks import BIOYOND_PolymerReactionStation_Deck
+
+# ============================================================================
+# 基础配置
+# ============================================================================
+
+# API配置
+API_CONFIG = {
+    "api_key": "DE9BDDA0",
+    "api_host": "http://192.168.1.200:44402"
+}
+
+# HTTP 报送服务配置
+HTTP_SERVICE_CONFIG = {
+    "http_service_host": "127.0.0.1",  # 监听地址
+    "http_service_port": 8080,        # 监听端口
+}
+
+# Deck配置 - 反应站工作台配置
+DECK_CONFIG = BIOYOND_PolymerReactionStation_Deck(setup=True)
+
+# ============================================================================
+# 工作流配置
+# ============================================================================
+
+# 工作流ID映射
+WORKFLOW_MAPPINGS = {
+    "reactor_taken_out": "3a16081e-4788-ca37-eff4-ceed8d7019d1",
+    "reactor_taken_in": "3a160df6-76b3-0957-9eb0-cb496d5721c6",
+    "Solid_feeding_vials": "3a160877-87e7-7699-7bc6-ec72b05eb5e6",
+    "Liquid_feeding_vials(non-titration)": "3a167d99-6158-c6f0-15b5-eb030f7d8e47",
+    "Liquid_feeding_solvents": "3a160824-0665-01ed-285a-51ef817a9046",
+    "Liquid_feeding(titration)": "3a16082a-96ac-0449-446a-4ed39f3365b6",
+    "liquid_feeding_beaker": "3a16087e-124f-8ddb-8ec1-c2dff09ca784",
+    "Drip_back": "3a162cf9-6aac-565a-ddd7-682ba1796a4a",
+}
+
+# 工作流名称到显示名称的映射
+WORKFLOW_TO_SECTION_MAP = {
+    'reactor_taken_in': '反应器放入',
+    'reactor_taken_out': '反应器取出',
+    'Solid_feeding_vials': '固体投料-小瓶',
+    'Liquid_feeding_vials(non-titration)': '液体投料-小瓶（非滴定）',
+    'Liquid_feeding_solvents': '液体投料-溶剂',
+    'Liquid_feeding(titration)': '液体投料-滴定',
+    'liquid_feeding_beaker': '液体投料-烧杯',
+    'Drip_back': '液体回滴'
+}
+
+# 工作流步骤ID配置
+WORKFLOW_STEP_IDS = {
+    "reactor_taken_in": {
+        "config": "60a06f85-c5b3-29eb-180f-4f62dd7e2154"
+    },
+    "liquid_feeding_beaker": {
+        "liquid": "6808cda7-fee7-4092-97f0-5f9c2ffa60e3",
+        "observe": "1753c0de-dffc-4ee6-8458-805a2e227362"
+    },
+    "liquid_feeding_vials_non_titration": {
+        "liquid": "62ea6e95-3d5d-43db-bc1e-9a1802673861",
+        "observe": "3a167d99-6172-b67b-5f22-a7892197142e"
+    },
+    "liquid_feeding_solvents": {
+        "liquid": "1fcea355-2545-462b-b727-350b69a313bf",
+        "observe": "0553dfb3-9ac5-4ace-8e00-2f11029919a8"
+    },
+    "solid_feeding_vials": {
+        "feeding": "f7ae7448-4f20-4c1d-8096-df6fbadd787a",
+        "observe": "263c7ed5-7277-426b-bdff-d6fbf77bcc05"
+    },
+    "liquid_feeding_titration": {
+        "liquid": "a00ec41b-e666-4422-9c20-bfcd3cd15c54",
+        "observe": "ac738ff6-4c58-4155-87b1-d6f65a2c9ab5"
+    },
+    "drip_back": {
+        "liquid": "371be86a-ab77-4769-83e5-54580547c48a",
+        "observe": "ce024b9d-bd20-47b8-9f78-ca5ce7f44cf1"
+    }
+}
+
+# 工作流动作名称配置
+ACTION_NAMES = {
+    "reactor_taken_in": {
+        "config": "通量-配置",
+        "stirring": "反应模块-开始搅拌"
+    },
+    "solid_feeding_vials": {
+        "feeding": "粉末加样模块-投料",
+        "observe": "反应模块-观察搅拌结果"
+    },
+    "liquid_feeding_vials_non_titration": {
+        "liquid": "稀释液瓶加液位-液体投料",
+        "observe": "反应模块-滴定结果观察"
+    },
+    "liquid_feeding_solvents": {
+        "liquid": "试剂AB放置位-试剂吸液分液",
+        "observe": "反应模块-观察搅拌结果"
+    },
+    "liquid_feeding_titration": {
+        "liquid": "稀释液瓶加液位-稀释液吸液分液",
+        "observe": "反应模块-滴定结果观察"
+    },
+    "liquid_feeding_beaker": {
+        "liquid": "烧杯溶液放置位-烧杯吸液分液",
+        "observe": "反应模块-观察搅拌结果"
+    },
+    "drip_back": {
+        "liquid": "试剂AB放置位-试剂吸液分液",
+        "observe": "反应模块-向下滴定结果观察"
+    }
+}
+
+# ============================================================================
+# 仓库配置
+# ============================================================================
+# 说明:
+# - 出库和入库操作都需要UUID
+WAREHOUSE_MAPPING = {
+    # ========== 反应站仓库 ==========
+
+    # 堆栈1左 - 反应站左侧堆栈 (4行×4列=16个库位, A01～D04)
+    "堆栈1左": {
+        "uuid": "3a14aa17-0d49-dce4-486e-4b5c85c8b366",
+        "site_uuids": {
+            "A01": "3a14aa17-0d49-11d7-a6e1-f236b3e5e5a3",
+            "A02": "3a14aa17-0d49-4bc5-8836-517b75473f5f",
+            "A03": "3a14aa17-0d49-c2bc-6222-5cee8d2d94f8",
+            "A04": "3a14aa17-0d49-3ce2-8e9a-008c38d116fb",
+            "B01": "3a14aa17-0d49-f49c-6b66-b27f185a3b32",
+            "B02": "3a14aa17-0d49-cf46-df85-a979c9c9920c",
+            "B03": "3a14aa17-0d49-7698-4a23-f7ffb7d48ba3",
+            "B04": "3a14aa17-0d49-1231-99be-d5870e6478e9",
+            "C01": "3a14aa17-0d49-be34-6fae-4aed9d48b70b",
+            "C02": "3a14aa17-0d49-11d7-0897-34921dcf6b7c",
+            "C03": "3a14aa17-0d49-9840-0bd5-9c63c1bb2c29",
+            "C04": "3a14aa17-0d49-8335-3bff-01da69ea4911",
+            "D01": "3a14aa17-0d49-2bea-c8e5-2b32094935d5",
+            "D02": "3a14aa17-0d49-cff4-e9e8-5f5f0bc1ef32",
+            "D03": "3a14aa17-0d49-4948-cb0a-78f30d1ca9b8",
+            "D04": "3a14aa17-0d49-fd2f-9dfb-a29b11e84099",
+        },
+    },
+
+    # 堆栈1右 - 反应站右侧堆栈 (4行×4列=16个库位, A05～D08)
+    "堆栈1右": {
+        "uuid": "3a14aa17-0d49-dce4-486e-4b5c85c8b366",
+        "site_uuids": {
+            "A05": "3a14aa17-0d49-2c61-edc8-72a8ca7192dd",
+            "A06": "3a14aa17-0d49-60c8-2b00-40b17198f397",
+            "A07": "3a14aa17-0d49-ec5b-0b75-634dce8eed25",
+            "A08": "3a14aa17-0d49-3ec9-55b3-f3189c4ec53d",
+            "B05": "3a14aa17-0d49-6a4e-abcf-4c113eaaeaad",
+            "B06": "3a14aa17-0d49-e3f6-2dd6-28c2e8194fbe",
+            "B07": "3a14aa17-0d49-11a6-b861-ee895121bf52",
+            "B08": "3a14aa17-0d49-9c7d-1145-d554a6e482f0",
+            "C05": "3a14aa17-0d49-45c4-7a34-5105bc3e2368",
+            "C06": "3a14aa17-0d49-867e-39ab-31b3fe9014be",
+            "C07": "3a14aa17-0d49-ec56-c4b4-39fd9b2131e7",
+            "C08": "3a14aa17-0d49-1128-d7d9-ffb1231c98c0",
+            "D05": "3a14aa17-0d49-e843-f961-ea173326a14b",
+            "D06": "3a14aa17-0d49-4d26-a985-f188359c4f8b",
+            "D07": "3a14aa17-0d49-223a-b520-bc092bb42fe0",
+            "D08": "3a14aa17-0d49-4fa3-401a-6a444e1cca22",
+        },
+    },
+
+    # 站内试剂存放堆栈
+    "站内试剂存放堆栈": {
+        "uuid": "3a14aa3b-9fab-9d8e-d1a7-828f01f51f0c",
+        "site_uuids": {
+            "A01": "3a14aa3b-9fab-adac-7b9c-e1ee446b51d5",
+            "A02": "3a14aa3b-9fab-ca72-febc-b7c304476c78"
+        }
+    },
+
+
+    # 测量小瓶仓库（测密度）
+    "测量小瓶仓库": {
+        "uuid": "3a15012f-705b-c0de-3f9e-950c205f9921",
+        "site_uuids": {
+            "A01": "3a15012f-705e-0524-3161-c523b5aebc97",
+            "A02": "3a15012f-705e-7cd1-32ab-ad4fd1ab75c8",
+            "A03": "3a15012f-705e-a5d6-edac-bdbfec236260",
+            "B01": "3a15012f-705e-e0ee-80e0-10a6b3fc500d",
+            "B02": "3a15012f-705e-e499-180d-de06d60d0b21",
+            "B03": "3a15012f-705e-eff6-63f1-09f742096b26"
+        }
+    },
+
+    # 站内Tip盒堆栈 - 用于存放枪头盒 (耗材)
+    "站内Tip盒堆栈": {
+        "uuid": "3a14aa3a-2d3c-b5c1-9ddf-7c4a957d459a",
+        "site_uuids": {
+            "A01": "3a14aa3a-2d3d-e700-411a-0ddf85e1f18a",
+            "A02": "3a14aa3a-2d3d-a7ce-099a-d5632fdafa24",
+            "A03": "3a14aa3a-2d3d-bdf6-a702-c60b38b08501",
+            "B01": "3a14aa3a-2d3d-d704-f076-2a8d5bc72cb8",
+            "B02": "3a14aa3a-2d3d-c350-2526-0778d173a5ac",
+            "B03": "3a14aa3a-2d3d-bc38-b356-f0de2e44e0c7"
+        }
+    },
+    # ========== 配液站仓库 ==========
+    "粉末堆栈": {
+        "uuid": "3a14198e-6928-121f-7ca6-88ad3ae7e6a0",
+        "site_uuids": {
+            "A01": "3a14198e-6929-31f0-8a22-0f98f72260df",
+            "A02": "3a14198e-6929-4379-affa-9a2935c17f99",
+            "A03": "3a14198e-6929-56da-9a1c-7f5fbd4ae8af",
+            "A04": "3a14198e-6929-5e99-2b79-80720f7cfb54",
+            "B01": "3a14198e-6929-f525-9a1b-1857552b28ee",
+            "B02": "3a14198e-6929-bf98-0fd5-26e1d68bf62d",
+            "B03": "3a14198e-6929-2d86-a468-602175a2b5aa",
+            "B04": "3a14198e-6929-1a98-ae57-e97660c489ad",
+            "C01": "3a14198e-6929-46fe-841e-03dd753f1e4a",
+            "C02": "3a14198e-6929-72ac-32ce-9b50245682b8",
+            "C03": "3a14198e-6929-8a0b-b686-6f4a2955c4e2",
+            "C04": "3a14198e-6929-a0ec-5f15-c0f9f339f963",
+            "D01": "3a14198e-6929-1bc9-a9bd-3b7ca66e7f95",
+            "D02": "3a14198e-6929-3bd8-e6c7-4a9fd93be118",
+            "D03": "3a14198e-6929-dde1-fc78-34a84b71afdf",
+            "D04": "3a14198e-6929-7ac8-915a-fea51cb2e884"
+        }
+    },
+    "溶液堆栈": {
+        "uuid": "3a14198e-d723-2c13-7d12-50143e190a23",
+        "site_uuids": {
+            "A01": "3a14198e-d724-e036-afdc-2ae39a7f3383",
+            "A02": "3a14198e-d724-d818-6d4f-5725191a24b5",
+            "A03": "3a14198e-d724-b5bb-adf3-4c5a0da6fb31",
+            "A04": "3a14198e-d724-d378-d266-2508a224a19f",
+            "B01": "3a14198e-d724-afa4-fc82-0ac8a9016791",
+            "B02": "3a14198e-d724-be8a-5e0b-012675e195c6",
+            "B03": "3a14198e-d724-ab4e-48cb-817c3c146707",
+            "B04": "3a14198e-d724-f56e-468b-0110a8feb36a",
+            "C01": "3a14198e-d724-ca48-bb9e-7e85751e55b6",
+            "C02": "3a14198e-d724-cc1e-5c2c-228a130f40a8",
+            "C03": "3a14198e-d724-7f18-1853-39d0c62e1d33",
+            "C04": "3a14198e-d724-0cf1-dea9-a1f40fe7e13c",
+            "D01": "3a14198e-d724-df6d-5e32-5483b3cab583",
+            "D02": "3a14198e-d724-1e28-c885-574c3df468d0",
+            "D03": "3a14198e-d724-28a2-a760-baa896f46b66",
+            "D04": "3a14198e-d724-0ddd-9654-f9352a421de9"
+        }
+    },
+    "试剂堆栈": {
+        "uuid": "3a14198c-c2cc-0290-e086-44a428fba248",
+        "site_uuids": {
+            "A01": "3a14198c-c2cf-8b40-af28-b467808f1c36",  # x=1, y=1, code=0001-0001
+            "A02": "3a14198c-c2d0-dc7d-b8d0-e1d88cee3094",  # x=1, y=2, code=0001-0002
+            "A03": "3a14198c-c2d0-354f-39ad-642e1a72fcb8",  # x=1, y=3, code=0001-0003
+            "A04": "3a14198c-c2d0-725e-523d-34c037ac2440",  # x=1, y=4, code=0001-0004
+            "B01": "3a14198c-c2d0-f3e7-871a-e470d144296f",  # x=2, y=1, code=0001-0005
+            "B02": "3a14198c-c2d0-2070-efc8-44e245f10c6f",  # x=2, y=2, code=0001-0006
+            "B03": "3a14198c-c2d0-1559-105d-0ea30682cab4",  # x=2, y=3, code=0001-0007
+            "B04": "3a14198c-c2d0-efce-0939-69ca5a7dfd39"   # x=2, y=4, code=0001-0008
+        }
+    }
+}
+
+# ============================================================================
+# 物料类型配置
+# ============================================================================
+# 说明:
+# - 格式: PyLabRobot资源类型名称 → Bioyond系统typeId的UUID
+# - 这个映射基于 resource.model 属性 (不是显示名称!)
+# - UUID为空表示该类型暂未在Bioyond系统中定义
+MATERIAL_TYPE_MAPPINGS = {
+    # ================================================配液站资源============================================================
+    # ==================================================样品===============================================================
+    "BIOYOND_PolymerStation_1FlaskCarrier": ("烧杯", "3a14196b-24f2-ca49-9081-0cab8021bf1a"),  # 配液站-样品-烧杯
+    "BIOYOND_PolymerStation_1BottleCarrier": ("试剂瓶", "3a14196b-8bcf-a460-4f74-23f21ca79e72"),  # 配液站-样品-试剂瓶
+    "BIOYOND_PolymerStation_6StockCarrier": ("分装板", "3a14196e-5dfe-6e21-0c79-fe2036d052c4"),  # 配液站-样品-分装板
+    "BIOYOND_PolymerStation_Liquid_Vial": ("10%分装小瓶", "3a14196c-76be-2279-4e22-7310d69aed68"),  # 配液站-样品-分装板-第一排小瓶
+    "BIOYOND_PolymerStation_Solid_Vial": ("90%分装小瓶", "3a14196c-cdcf-088d-dc7d-5cf38f0ad9ea"),  # 配液站-样品-分装板-第二排小瓶
+    # ==================================================试剂===============================================================
+    "BIOYOND_PolymerStation_8StockCarrier": ("样品板", "3a14196e-b7a0-a5da-1931-35f3000281e9"),  # 配液站-试剂-样品板（8孔）
+    "BIOYOND_PolymerStation_Solid_Stock": ("样品瓶", "3a14196a-cf7d-8aea-48d8-b9662c7dba94"),  # 配液站-试剂-样品板-样品瓶
+
+}
+
+# ============================================================================
+# 动态生成的库位UUID映射（从WAREHOUSE_MAPPING中提取）
+# ============================================================================
+
+LOCATION_MAPPING = {}
+for warehouse_name, warehouse_config in WAREHOUSE_MAPPING.items():
+    if "site_uuids" in warehouse_config:
+        LOCATION_MAPPING.update(warehouse_config["site_uuids"])
+
+# ============================================================================
+# 物料默认参数配置
+# ============================================================================
+# 说明:
+# - 为特定物料名称自动添加默认参数（如密度、分子量、单位等）
+# - 格式: 物料名称 → {参数字典}
+# - 在创建或更新物料时，会自动合并这些参数到 Parameters 字段
+# - unit: 物料的计量单位（会用于 unit 字段）
+# - density/densityUnit: 密度信息（会添加到 Parameters 中）
+
+MATERIAL_DEFAULT_PARAMETERS = {
+    # 溶剂类
+    "NMP": {
+        "unit": "毫升",
+        "density": "1.03",
+        "densityUnit": "g/mL",
+        "description": "N-甲基吡咯烷酮 (N-Methyl-2-pyrrolidone)"
+    },
+    # 可以继续添加其他物料...
+}
+
+# ============================================================================
+# 物料类型默认参数配置
+# ============================================================================
+# 说明:
+# - 为特定物料类型（UUID）自动添加默认参数
+# - 格式: Bioyond类型UUID → {参数字典}
+# - 优先级低于按名称匹配的配置
+MATERIAL_TYPE_PARAMETERS = {
+    # 示例:
+    # "3a14196b-24f2-ca49-9081-0cab8021bf1a": {  # 烧杯
+    #     "unit": "个"
+    # }
+}

unilabos/devices/workstation/bioyond_studio/dispensing_station/dispensing_station.py

@@ -4,7 +4,8 @@ import time
 from typing import Optional, Dict, Any, List
 from typing_extensions import TypedDict
 import requests
-from unilabos.devices.workstation.bioyond_studio.config import API_CONFIG
+import pint
+
 
 from unilabos.devices.workstation.bioyond_studio.bioyond_rpc import BioyondException
 from unilabos.devices.workstation.bioyond_studio.station import BioyondWorkstation
@@ -25,13 +26,89 @@ class ComputeExperimentDesignReturn(TypedDict):
 class BioyondDispensingStation(BioyondWorkstation):
     def __init__(
         self,
-        config,
-            # 桌子
-        deck,
-        *args,
+        config: dict = None,
+        deck=None,
+        protocol_type=None,
         **kwargs,
-        ):
-        super().__init__(config, deck, *args, **kwargs)
+    ):
+        """初始化配液站
+
+        Args:
+            config: 配置字典,应包含material_type_mappings等配置
+            deck: Deck对象
+            protocol_type: 协议类型(由ROS系统传递,此处忽略)
+            **kwargs: 其他可能的参数
+        """
+        if config is None:
+            config = {}
+
+        # 将 kwargs 合并到 config 中 (处理扁平化配置如 api_key)
+        config.update(kwargs)
+
+        if deck is None and config:
+            deck = config.get('deck')
+
+        # 🔧 修复: 确保 Deck 上的 warehouses 具有正确的 UUID (必须在 super().__init__ 之前执行，因为父类会触发同步)
+        # 从配置中读取 warehouse_mapping，并应用到实际的 deck 资源上
+        if config and "warehouse_mapping" in config and deck:
+            warehouse_mapping = config["warehouse_mapping"]
+            print(f"正在根据配置更新 Deck warehouse UUIDs... (共有 {len(warehouse_mapping)} 个配置)")
+
+            user_deck = deck
+            # 初始化 warehouses 字典
+            if not hasattr(user_deck, "warehouses") or user_deck.warehouses is None:
+                user_deck.warehouses = {}
+
+            # 1. 尝试从 children 中查找匹配的资源
+            for child in user_deck.children:
+                # 简单判断: 如果名字在 mapping 中，就认为是 warehouse
+                if child.name in warehouse_mapping:
+                    user_deck.warehouses[child.name] = child
+                    print(f"  - 从子资源中找到 warehouse: {child.name}")
+
+            # 2. 如果还是没找到，且 Deck 类有 setup 方法，尝试调用 setup (针对 Deck 对象正确但未初始化的情况)
+            if not user_deck.warehouses and hasattr(user_deck, "setup"):
+                print("  - 尝试调用 deck.setup() 初始化仓库...")
+                try:
+                    user_deck.setup()
+                    # setup 后重新检查
+                    if hasattr(user_deck, "warehouses") and user_deck.warehouses:
+                            print(f"  - setup() 成功，找到 {len(user_deck.warehouses)} 个仓库")
+                except Exception as e:
+                    print(f"  - 调用 setup() 失败: {e}")
+
+            # 3. 如果仍然为空，可能需要手动创建 (仅针对特定已知的 Deck 类型进行补救，这里暂时只打印警告)
+            if not user_deck.warehouses:
+                    print("  - ⚠️ 仍然无法找到任何 warehouse 资源！")
+
+            for wh_name, wh_config in warehouse_mapping.items():
+                target_uuid = wh_config.get("uuid")
+
+                # 尝试在 deck.warehouses 中查找
+                wh_resource = None
+                if hasattr(user_deck, "warehouses") and wh_name in user_deck.warehouses:
+                    wh_resource = user_deck.warehouses[wh_name]
+
+                # 如果没找到，尝试在所有子资源中查找
+                if not wh_resource:
+                    wh_resource = user_deck.get_resource(wh_name)
+
+                if wh_resource:
+                    if target_uuid:
+                        current_uuid = getattr(wh_resource, "uuid", None)
+                        print(f"✅ 更新仓库 '{wh_name}' UUID: {current_uuid} -> {target_uuid}")
+
+                        # 动态添加 uuid 属性
+                        wh_resource.uuid = target_uuid
+                        # 同时也确保 category 正确，避免 graphio 识别错误
+                        # wh_resource.category = "warehouse"
+                    else:
+                            print(f"⚠️ 仓库 '{wh_name}' 在配置中没有 UUID")
+                else:
+                    print(f"❌ 在 Deck 中未找到配置的仓库: '{wh_name}'")
+
+        super().__init__(bioyond_config=config, deck=deck)
+
         # self.config = config
         # self.api_key = config["api_key"]
         # self.host = config["api_host"]
@@ -43,6 +120,41 @@ class BioyondDispensingStation(BioyondWorkstation):
         # 用于跟踪任务完成状态的字典: {orderCode: {status, order_id, timestamp}}
         self.order_completion_status = {}
 
+        # 初始化 pint 单位注册表
+        self.ureg = pint.UnitRegistry()
+
+        # 化合物信息
+        self.compound_info = {
+            "MolWt": {
+                "MDA": 108.14 * self.ureg.g / self.ureg.mol,
+                "TDA": 122.16 * self.ureg.g / self.ureg.mol,
+                "PAPP": 521.62 * self.ureg.g / self.ureg.mol,
+                "BTDA": 322.23 * self.ureg.g / self.ureg.mol,
+                "BPDA": 294.22 * self.ureg.g / self.ureg.mol,
+                "6FAP": 366.26 * self.ureg.g / self.ureg.mol,
+                "PMDA": 218.12 * self.ureg.g / self.ureg.mol,
+                "MPDA": 108.14 * self.ureg.g / self.ureg.mol,
+                "SIDA": 248.51 * self.ureg.g / self.ureg.mol,
+                "ODA": 200.236 * self.ureg.g / self.ureg.mol,
+                "4,4'-ODA": 200.236 * self.ureg.g / self.ureg.mol,
+                "134": 292.34 * self.ureg.g / self.ureg.mol,
+            },
+            "FuncGroup": {
+                "MDA": "Amine",
+                "TDA": "Amine",
+                "PAPP": "Amine",
+                "BTDA": "Anhydride",
+                "BPDA": "Anhydride",
+                "6FAP": "Amine",
+                "MPDA": "Amine",
+                "SIDA": "Amine",
+                "PMDA": "Anhydride",
+                "ODA": "Amine",
+                "4,4'-ODA": "Amine",
+                "134": "Amine",
+            }
+        }
+
     def _post_project_api(self, endpoint: str, data: Any) -> Dict[str, Any]:
         """项目接口通用POST调用
 
@@ -54,7 +166,7 @@ class BioyondDispensingStation(BioyondWorkstation):
             dict: 服务端响应，失败时返回 {code:0,message,...}
         """
         request_data = {
-            "apiKey": API_CONFIG["api_key"],
+            "apiKey": self.bioyond_config["api_key"],
             "requestTime": self.hardware_interface.get_current_time_iso8601(),
             "data": data
         }
@@ -85,7 +197,7 @@ class BioyondDispensingStation(BioyondWorkstation):
             dict: 服务端响应，失败时返回 {code:0,message,...}
         """
         request_data = {
-            "apiKey": API_CONFIG["api_key"],
+            "apiKey": self.bioyond_config["api_key"],
             "requestTime": self.hardware_interface.get_current_time_iso8601(),
             "data": data
         }
@@ -118,20 +230,22 @@ class BioyondDispensingStation(BioyondWorkstation):
                     ratio = json.loads(ratio)
                 except Exception:
                     ratio = {}
-            root = str(Path(__file__).resolve().parents[3])
-            if root not in sys.path:
-                sys.path.append(root)
-            try:
-                mod = importlib.import_module("tem.compute")
-            except Exception as e:
-                raise BioyondException(f"无法导入计算模块: {e}")
             try:
                 wp = float(wt_percent) if isinstance(wt_percent, str) else wt_percent
                 mt = float(m_tot) if isinstance(m_tot, str) else m_tot
                 tp = float(titration_percent) if isinstance(titration_percent, str) else titration_percent
             except Exception as e:
                 raise BioyondException(f"参数解析失败: {e}")
-            res = mod.generate_experiment_design(ratio=ratio, wt_percent=wp, m_tot=mt, titration_percent=tp)
+
+            # 2. 调用内部计算方法
+            res = self._generate_experiment_design(
+                ratio=ratio,
+                wt_percent=wp,
+                m_tot=mt,
+                titration_percent=tp
+            )
+
+            # 3. 构造返回结果
             out = {
                 "solutions": res.get("solutions", []),
                 "titration": res.get("titration", {}),
@@ -140,11 +254,248 @@ class BioyondDispensingStation(BioyondWorkstation):
                 "return_info": json.dumps(res, ensure_ascii=False)
             }
             return out
+
         except BioyondException:
             raise
         except Exception as e:
             raise BioyondException(str(e))
 
+    def _generate_experiment_design(
+        self,
+        ratio: dict,
+        wt_percent: float = 0.25,
+        m_tot: float = 70,
+        titration_percent: float = 0.03,
+    ) -> dict:
+        """内部方法：生成实验设计
+
+        根据FuncGroup自动区分二胺和二酐，每种二胺单独配溶液，严格按照ratio顺序投料。
+
+        参数:
+            ratio: 化合物配比字典，格式: {"compound_name": ratio_value}
+            wt_percent: 固体重量百分比
+            m_tot: 反应混合物总质量(g)
+            titration_percent: 滴定溶液百分比
+
+        返回:
+            包含实验设计详细参数的字典
+        """
+        # 溶剂密度
+        ρ_solvent = 1.03 * self.ureg.g / self.ureg.ml
+        # 二酐溶解度
+        solubility = 0.02 * self.ureg.g / self.ureg.ml
+        # 投入固体时最小溶剂体积
+        V_min = 30 * self.ureg.ml
+        m_tot = m_tot * self.ureg.g
+
+        # 保持ratio中的顺序
+        compound_names = list(ratio.keys())
+        compound_ratios = list(ratio.values())
+
+        # 验证所有化合物是否在 compound_info 中定义
+        undefined_compounds = [name for name in compound_names if name not in self.compound_info["MolWt"]]
+        if undefined_compounds:
+            available = list(self.compound_info["MolWt"].keys())
+            raise ValueError(
+                f"以下化合物未在 compound_info 中定义: {undefined_compounds}。"
+                f"可用的化合物: {available}"
+            )
+
+        # 获取各化合物的分子量和官能团类型
+        molecular_weights = [self.compound_info["MolWt"][name] for name in compound_names]
+        func_groups = [self.compound_info["FuncGroup"][name] for name in compound_names]
+
+        # 记录化合物信息用于调试
+        self.hardware_interface._logger.info(f"化合物名称: {compound_names}")
+        self.hardware_interface._logger.info(f"官能团类型: {func_groups}")
+
+        # 按原始顺序分离二胺和二酐
+        ordered_compounds = list(zip(compound_names, compound_ratios, molecular_weights, func_groups))
+        diamine_compounds = [(name, ratio_val, mw, i) for i, (name, ratio_val, mw, fg) in enumerate(ordered_compounds) if fg == "Amine"]
+        anhydride_compounds = [(name, ratio_val, mw, i) for i, (name, ratio_val, mw, fg) in enumerate(ordered_compounds) if fg == "Anhydride"]
+
+        if not diamine_compounds or not anhydride_compounds:
+            raise ValueError(
+                f"需要同时包含二胺(Amine)和二酐(Anhydride)化合物。"
+                f"当前二胺: {[c[0] for c in diamine_compounds]}, "
+                f"当前二酐: {[c[0] for c in anhydride_compounds]}"
+            )
+
+        # 计算加权平均分子量 (基于摩尔比)
+        total_molar_ratio = sum(compound_ratios)
+        weighted_molecular_weight = sum(ratio_val * mw for ratio_val, mw in zip(compound_ratios, molecular_weights))
+
+        # 取最后一个二酐用于滴定
+        titration_anhydride = anhydride_compounds[-1]
+        solid_anhydrides = anhydride_compounds[:-1] if len(anhydride_compounds) > 1 else []
+
+        # 二胺溶液配制参数 - 每种二胺单独配制
+        diamine_solutions = []
+        total_diamine_volume = 0 * self.ureg.ml
+
+        # 计算反应物的总摩尔量
+        n_reactant = m_tot * wt_percent / weighted_molecular_weight
+
+        for name, ratio_val, mw, order_index in diamine_compounds:
+            # 跳过 SIDA
+            if name == "SIDA":
+                continue
+
+            # 计算该二胺需要的摩尔数
+            n_diamine_needed = n_reactant * ratio_val
+
+            # 二胺溶液配制参数 (每种二胺固定配制参数)
+            m_diamine_solid = 5.0 * self.ureg.g  # 每种二胺固体质量
+            V_solvent_for_this = 20 * self.ureg.ml  # 每种二胺溶剂体积
+            m_solvent_for_this = ρ_solvent * V_solvent_for_this
+
+            # 计算该二胺溶液的浓度
+            c_diamine = (m_diamine_solid / mw) / V_solvent_for_this
+
+            # 计算需要移取的溶液体积
+            V_diamine_needed = n_diamine_needed / c_diamine
+
+            diamine_solutions.append({
+                "name": name,
+                "order": order_index,
+                "solid_mass": m_diamine_solid.magnitude,
+                "solvent_volume": V_solvent_for_this.magnitude,
+                "concentration": c_diamine.magnitude,
+                "volume_needed": V_diamine_needed.magnitude,
+                "molar_ratio": ratio_val
+            })
+
+            total_diamine_volume += V_diamine_needed
+
+        # 按原始顺序排序
+        diamine_solutions.sort(key=lambda x: x["order"])
+
+        # 计算滴定二酐的质量
+        titration_name, titration_ratio, titration_mw, _ = titration_anhydride
+        m_titration_anhydride = n_reactant * titration_ratio * titration_mw
+        m_titration_90 = m_titration_anhydride * (1 - titration_percent)
+        m_titration_10 = m_titration_anhydride * titration_percent
+
+        # 计算其他固体二酐的质量 (按顺序)
+        solid_anhydride_masses = []
+        for name, ratio_val, mw, order_index in solid_anhydrides:
+            mass = n_reactant * ratio_val * mw
+            solid_anhydride_masses.append({
+                "name": name,
+                "order": order_index,
+                "mass": mass.magnitude,
+                "molar_ratio": ratio_val
+            })
+
+        # 按原始顺序排序
+        solid_anhydride_masses.sort(key=lambda x: x["order"])
+
+        # 计算溶剂用量
+        total_diamine_solution_mass = sum(
+            sol["volume_needed"] * ρ_solvent for sol in diamine_solutions
+        ) * self.ureg.ml
+
+        # 预估滴定溶剂量、计算补加溶剂量
+        m_solvent_titration = m_titration_10 / solubility * ρ_solvent
+        m_solvent_add = m_tot * (1 - wt_percent) - total_diamine_solution_mass - m_solvent_titration
+
+        # 检查最小溶剂体积要求
+        total_liquid_volume = (total_diamine_solution_mass + m_solvent_add) / ρ_solvent
+        m_tot_min = V_min / total_liquid_volume * m_tot
+
+        # 如果需要，按比例放大
+        scale_factor = 1.0
+        if m_tot_min > m_tot:
+            scale_factor = (m_tot_min / m_tot).magnitude
+            m_titration_90 *= scale_factor
+            m_titration_10 *= scale_factor
+            m_solvent_add *= scale_factor
+            m_solvent_titration *= scale_factor
+
+            # 更新二胺溶液用量
+            for sol in diamine_solutions:
+                sol["volume_needed"] *= scale_factor
+
+            # 更新固体二酐用量
+            for anhydride in solid_anhydride_masses:
+                anhydride["mass"] *= scale_factor
+
+            m_tot = m_tot_min
+
+        # 生成投料顺序
+        feeding_order = []
+
+        # 1. 固体二酐 (按顺序)
+        for anhydride in solid_anhydride_masses:
+            feeding_order.append({
+                "step": len(feeding_order) + 1,
+                "type": "solid_anhydride",
+                "name": anhydride["name"],
+                "amount": anhydride["mass"],
+                "order": anhydride["order"]
+            })
+
+        # 2. 二胺溶液 (按顺序)
+        for sol in diamine_solutions:
+            feeding_order.append({
+                "step": len(feeding_order) + 1,
+                "type": "diamine_solution",
+                "name": sol["name"],
+                "amount": sol["volume_needed"],
+                "order": sol["order"]
+            })
+
+        # 3. 主要二酐粉末
+        feeding_order.append({
+            "step": len(feeding_order) + 1,
+            "type": "main_anhydride",
+            "name": titration_name,
+            "amount": m_titration_90.magnitude,
+            "order": titration_anhydride[3]
+        })
+
+        # 4. 补加溶剂
+        if m_solvent_add > 0:
+            feeding_order.append({
+                "step": len(feeding_order) + 1,
+                "type": "additional_solvent",
+                "name": "溶剂",
+                "amount": m_solvent_add.magnitude,
+                "order": 999
+            })
+
+        # 5. 滴定二酐溶液
+        feeding_order.append({
+            "step": len(feeding_order) + 1,
+            "type": "titration_anhydride",
+            "name": f"{titration_name} 滴定液",
+            "amount": m_titration_10.magnitude,
+            "titration_solvent": m_solvent_titration.magnitude,
+            "order": titration_anhydride[3]
+        })
+
+        # 返回实验设计结果
+        results = {
+            "total_mass": m_tot.magnitude,
+            "scale_factor": scale_factor,
+            "solutions": diamine_solutions,
+            "solids": solid_anhydride_masses,
+            "titration": {
+                "name": titration_name,
+                "main_portion": m_titration_90.magnitude,
+                "titration_portion": m_titration_10.magnitude,
+                "titration_solvent": m_solvent_titration.magnitude,
+            },
+            "solvents": {
+                "additional_solvent": m_solvent_add.magnitude,
+                "total_liquid_volume": total_liquid_volume.magnitude
+            },
+            "feeding_order": feeding_order,
+            "minimum_required_mass": m_tot_min.magnitude
+        }
+
+        return results
+
     # 90%10%小瓶投料任务创建方法
     def create_90_10_vial_feeding_task(self,
                                        order_name: str = None,
@@ -961,6 +1312,108 @@ class BioyondDispensingStation(BioyondWorkstation):
             'actualVolume': actual_volume
         }
 
+    def _simplify_report(self, report) -> Dict[str, Any]:
+        """简化实验报告，只保留关键信息，去除冗余的工作流参数"""
+        if not isinstance(report, dict):
+            return report
+
+        data = report.get('data', {})
+        if not isinstance(data, dict):
+            return report
+
+        # 提取关键信息
+        simplified = {
+            'name': data.get('name'),
+            'code': data.get('code'),
+            'requester': data.get('requester'),
+            'workflowName': data.get('workflowName'),
+            'workflowStep': data.get('workflowStep'),
+            'requestTime': data.get('requestTime'),
+            'startPreparationTime': data.get('startPreparationTime'),
+            'completeTime': data.get('completeTime'),
+            'useTime': data.get('useTime'),
+            'status': data.get('status'),
+            'statusName': data.get('statusName'),
+        }
+
+        # 提取物料信息（简化版）
+        pre_intakes = data.get('preIntakes', [])
+        if pre_intakes and isinstance(pre_intakes, list):
+            first_intake = pre_intakes[0]
+            sample_materials = first_intake.get('sampleMaterials', [])
+
+            # 简化物料信息
+            simplified_materials = []
+            for material in sample_materials:
+                if isinstance(material, dict):
+                    mat_info = {
+                        'materialName': material.get('materialName'),
+                        'materialTypeName': material.get('materialTypeName'),
+                        'materialCode': material.get('materialCode'),
+                        'materialLocation': material.get('materialLocation'),
+                    }
+
+                    # 解析parameters中的关键信息（如密度、加料历史等）
+                    params_str = material.get('parameters', '{}')
+                    try:
+                        params = json.loads(params_str) if isinstance(params_str, str) else params_str
+                        if isinstance(params, dict):
+                            # 只保留关键参数
+                            if 'density' in params:
+                                mat_info['density'] = params['density']
+                            if 'feedingHistory' in params:
+                                mat_info['feedingHistory'] = params['feedingHistory']
+                            if 'liquidVolume' in params:
+                                mat_info['liquidVolume'] = params['liquidVolume']
+                            if 'm_diamine_tot' in params:
+                                mat_info['m_diamine_tot'] = params['m_diamine_tot']
+                            if 'wt_diamine' in params:
+                                mat_info['wt_diamine'] = params['wt_diamine']
+                    except:
+                        pass
+
+                    simplified_materials.append(mat_info)
+
+            simplified['sampleMaterials'] = simplified_materials
+
+            # 提取extraProperties中的实际值
+            extra_props = first_intake.get('extraProperties', {})
+            if isinstance(extra_props, dict):
+                simplified_extra = {}
+                for key, value in extra_props.items():
+                    try:
+                        parsed_value = json.loads(value) if isinstance(value, str) else value
+                        simplified_extra[key] = parsed_value
+                    except:
+                        simplified_extra[key] = value
+                simplified['extraProperties'] = simplified_extra
+
+        return {
+            'data': simplified,
+            'code': report.get('code'),
+            'message': report.get('message'),
+            'timestamp': report.get('timestamp')
+        }
+
+    def scheduler_start(self) -> dict:
+        """启动调度器 - 启动Bioyond工作站的任务调度器，开始执行队列中的任务
+
+        Returns:
+            dict: 包含return_info的字典，return_info为整型(1=成功)
+
+        Raises:
+            BioyondException: 调度器启动失败时抛出异常
+        """
+        result = self.hardware_interface.scheduler_start()
+        self.hardware_interface._logger.info(f"调度器启动结果: {result}")
+
+        if result != 1:
+            error_msg = "启动调度器失败: 有未处理错误，调度无法启动。请检查Bioyond系统状态。"
+            self.hardware_interface._logger.error(error_msg)
+            raise BioyondException(error_msg)
+
+        return {"return_info": result}
+
     # 等待多个任务完成并获取实验报告
     def wait_for_multiple_orders_and_get_reports(self,
                                                   batch_create_result: str = None,
@@ -1002,7 +1455,12 @@ class BioyondDispensingStation(BioyondWorkstation):
 
             # 验证batch_create_result参数
             if not batch_create_result or batch_create_result == "":
-                raise BioyondException("batch_create_result参数为空，请确保从batch_create节点正确连接handle")
+                raise BioyondException(
+                    "batch_create_result参数为空，请确保:\n"
+                    "1. batch_create节点与wait节点之间正确连接了handle\n"
+                    "2. batch_create节点成功执行并返回了结果\n"
+                    "3. 检查上游batch_create任务是否成功创建了订单"
+                )
 
             # 解析batch_create_result JSON对象
             try:
@@ -1031,7 +1489,17 @@ class BioyondDispensingStation(BioyondWorkstation):
 
             # 验证提取的数据
             if not order_codes:
-                raise BioyondException("batch_create_result中未找到order_codes字段或为空")
+                self.hardware_interface._logger.error(
+                    f"batch_create任务未生成任何订单。batch_create_result内容: {batch_create_result}"
+                )
+                raise BioyondException(
+                    "batch_create_result中未找到order_codes或为空。\n"
+                    "可能的原因:\n"
+                    "1. batch_create任务执行失败（检查任务是否报错）\n"
+                    "2. 物料配置问题（如'物料样品板分配失败'）\n"
+                    "3. Bioyond系统状态异常\n"
+                    f"请检查batch_create任务的执行结果"
+                )
             if not order_ids:
                 raise BioyondException("batch_create_result中未找到order_ids字段或为空")
 
@@ -1114,6 +1582,8 @@ class BioyondDispensingStation(BioyondWorkstation):
                                 self.hardware_interface._logger.info(
                                     f"成功获取任务 {order_code} 的实验报告"
                                 )
+                                # 简化报告，去除冗余信息
+                                report = self._simplify_report(report)
 
                             reports.append({
                                 "order_code": order_code,
@@ -1288,7 +1758,7 @@ class BioyondDispensingStation(BioyondWorkstation):
                 f"开始执行批量物料转移: {len(transfer_groups)}组任务 -> {target_device_id}"
             )
 
-            from .config import WAREHOUSE_MAPPING
+            warehouse_mapping = self.bioyond_config.get("warehouse_mapping", {})
             results = []
             successful_count = 0
             failed_count = 0

unilabos/devices/workstation/bioyond_studio/station.py

@@ -6,6 +6,7 @@ Bioyond Workstation Implementation
 """
 import time
 import traceback
+import threading
 from datetime import datetime
 from typing import Dict, Any, List, Optional, Union
 import json
@@ -23,12 +24,94 @@ from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
 from unilabos.ros.msgs.message_converter import convert_to_ros_msg, Float64, String
 from pylabrobot.resources.resource import Resource as ResourcePLR
 
-from unilabos.devices.workstation.bioyond_studio.config import (
-    API_CONFIG, WORKFLOW_MAPPINGS, MATERIAL_TYPE_MAPPINGS, WAREHOUSE_MAPPING, HTTP_SERVICE_CONFIG
-)
+
 from unilabos.devices.workstation.workstation_http_service import WorkstationHTTPService
 
 
+class ConnectionMonitor:
+    """Bioyond连接监控器"""
+    def __init__(self, workstation, check_interval=30):
+        self.workstation = workstation
+        self.check_interval = check_interval
+        self._running = False
+        self._thread = None
+        self._last_status = "unknown"
+
+    def start(self):
+        if self._running:
+            return
+        self._running = True
+        self._thread = threading.Thread(target=self._monitor_loop, daemon=True, name="BioyondConnectionMonitor")
+        self._thread.start()
+        logger.info("Bioyond连接监控器已启动")
+
+    def stop(self):
+        self._running = False
+        if self._thread:
+            self._thread.join(timeout=2)
+            logger.info("Bioyond连接监控器已停止")
+
+    def _monitor_loop(self):
+        while self._running:
+            try:
+                # 使用 lightweight API 检查连接
+                # query_matial_type_list 是比较快的查询
+                start_time = time.time()
+                result = self.workstation.hardware_interface.material_type_list()
+
+                status = "online" if result else "offline"
+                msg = "Connection established" if status == "online" else "Failed to get material type list"
+
+                if status != self._last_status:
+                    logger.info(f"Bioyond连接状态变更: {self._last_status} -> {status}")
+                    self._publish_event(status, msg)
+                    self._last_status = status
+
+                # 发布心跳 (可选，或者只在状态变更时发布)
+                # self._publish_event(status, msg)
+
+            except Exception as e:
+                logger.error(f"Bioyond连接检查异常: {e}")
+                if self._last_status != "error":
+                    self._publish_event("error", str(e))
+                    self._last_status = "error"
+
+            time.sleep(self.check_interval)
+
+    def _publish_event(self, status, message):
+        try:
+            if hasattr(self.workstation, "_ros_node") and self.workstation._ros_node:
+                event_data = {
+                    "status": status,
+                    "message": message,
+                    "timestamp": datetime.now().isoformat()
+                }
+
+                # 动态发布消息，需要在 ROS2DeviceNode 中有对应支持
+                # 这里假设通用事件发布机制，使用 String 类型的 topic
+                # 话题: /<namespace>/events/device_status
+                ns = self.workstation._ros_node.namespace
+                topic = f"{ns}/events/device_status"
+
+                # 使用 ROS2DeviceNode 的发布功能
+                # 如果没有预定义的 publisher，需要动态创建
+                # 注意：workstation base node 可能没有自动创建 arbitrary publishers 的机制
+                # 这里我们先尝试用 String json 发布
+
+                # 在 ROS2DeviceNode 中通常需要先 create_publisher
+                # 为了简单起见，我们检查是否已有 publisher，没有则创建
+                if not hasattr(self.workstation, "_device_status_pub"):
+                    self.workstation._device_status_pub = self.workstation._ros_node.create_publisher(
+                        String, topic, 10
+                    )
+
+                self.workstation._device_status_pub.publish(
+                    convert_to_ros_msg(String, json.dumps(event_data, ensure_ascii=False))
+                )
+        except Exception as e:
+            logger.error(f"发布设备状态事件失败: {e}")
+
+
 class BioyondResourceSynchronizer(ResourceSynchronizer):
     """Bioyond资源同步器
 
@@ -174,9 +257,8 @@ class BioyondResourceSynchronizer(ResourceSynchronizer):
             else:
                 logger.info(f"[同步→Bioyond] ➕ 物料不存在于 Bioyond，将创建新物料并入库")
 
-            # 第1步：获取仓库配置
-            from .config import WAREHOUSE_MAPPING
-            warehouse_mapping = WAREHOUSE_MAPPING
+            # 第1步：从配置中获取仓库配置
+            warehouse_mapping = self.bioyond_config.get("warehouse_mapping", {})
 
             # 确定目标仓库名称
             parent_name = None
@@ -238,14 +320,20 @@ class BioyondResourceSynchronizer(ResourceSynchronizer):
             # 第2步：转换为 Bioyond 格式
             logger.info(f"[同步→Bioyond] 🔄 转换物料为 Bioyond 格式...")
 
-            # 导入物料默认参数配置
-            from .config import MATERIAL_DEFAULT_PARAMETERS
+            # 从配置中获取物料默认参数
+            material_default_params = self.workstation.bioyond_config.get("material_default_parameters", {})
+            material_type_params = self.workstation.bioyond_config.get("material_type_parameters", {})
+
+            # 合并参数配置：物料名称参数 + typeId参数（转换为 type:<uuid> 格式）
+            merged_params = material_default_params.copy()
+            for type_id, params in material_type_params.items():
+                merged_params[f"type:{type_id}"] = params
 
             bioyond_material = resource_plr_to_bioyond(
                 [resource],
                 type_mapping=self.workstation.bioyond_config["material_type_mappings"],
                 warehouse_mapping=self.workstation.bioyond_config["warehouse_mapping"],
-                material_params=MATERIAL_DEFAULT_PARAMETERS
+                material_params=merged_params
             )[0]
 
             logger.info(f"[同步→Bioyond] 🔧 准备覆盖locations字段，目标仓库: {parent_name}, 库位: {update_site}, UUID: {target_location_uuid[:8]}...")
@@ -468,13 +556,20 @@ class BioyondResourceSynchronizer(ResourceSynchronizer):
                 return material_bioyond_id
 
             # 转换为 Bioyond 格式
-            from .config import MATERIAL_DEFAULT_PARAMETERS
+            # 从配置中获取物料默认参数
+            material_default_params = self.workstation.bioyond_config.get("material_default_parameters", {})
+            material_type_params = self.workstation.bioyond_config.get("material_type_parameters", {})
+
+            # 合并参数配置：物料名称参数 + typeId参数（转换为 type:<uuid> 格式）
+            merged_params = material_default_params.copy()
+            for type_id, params in material_type_params.items():
+                merged_params[f"type:{type_id}"] = params
 
             bioyond_material = resource_plr_to_bioyond(
                 [resource],
                 type_mapping=self.workstation.bioyond_config["material_type_mappings"],
                 warehouse_mapping=self.workstation.bioyond_config["warehouse_mapping"],
-                material_params=MATERIAL_DEFAULT_PARAMETERS
+                material_params=merged_params
             )[0]
 
             # ⚠️ 关键：创建物料时不设置 locations，让 Bioyond 系统暂不分配库位
@@ -528,8 +623,7 @@ class BioyondResourceSynchronizer(ResourceSynchronizer):
             logger.info(f"[物料入库] 目标库位: {update_site}")
 
             # 获取仓库配置和目标库位 UUID
-            from .config import WAREHOUSE_MAPPING
-            warehouse_mapping = WAREHOUSE_MAPPING
+            warehouse_mapping = self.workstation.bioyond_config.get("warehouse_mapping", {})
 
             parent_name = None
             target_location_uuid = None
@@ -584,6 +678,44 @@ class BioyondWorkstation(WorkstationBase):
     集成Bioyond物料管理的工作站实现
     """
 
+    def _publish_task_status(
+        self,
+        task_id: str,
+        task_type: str,
+        status: str,
+        result: dict = None,
+        progress: float = 0.0,
+        task_code: str = None
+    ):
+        """发布任务状态事件"""
+        try:
+            if not getattr(self, "_ros_node", None):
+                return
+
+            event_data = {
+                "task_id": task_id,
+                "task_code": task_code,
+                "task_type": task_type,
+                "status": status,
+                "progress": progress,
+                "timestamp": datetime.now().isoformat()
+            }
+            if result:
+                event_data["result"] = result
+
+            topic = f"{self._ros_node.namespace}/events/task_status"
+
+            if not hasattr(self, "_task_status_pub"):
+                self._task_status_pub = self._ros_node.create_publisher(
+                    String, topic, 10
+                )
+
+            self._task_status_pub.publish(
+                convert_to_ros_msg(String, json.dumps(event_data, ensure_ascii=False))
+            )
+        except Exception as e:
+            logger.error(f"发布任务状态事件失败: {e}")
+
     def __init__(
         self,
         bioyond_config: Optional[Dict[str, Any]] = None,
@@ -605,10 +737,28 @@ class BioyondWorkstation(WorkstationBase):
             raise ValueError("Deck 配置不能为空，请在配置文件中添加正确的 deck 配置")
 
         # 初始化 warehouses 属性
-        self.deck.warehouses = {}
-        for resource in self.deck.children:
-            if isinstance(resource, WareHouse):
-                self.deck.warehouses[resource.name] = resource
+        if not hasattr(self.deck, "warehouses") or self.deck.warehouses is None:
+            self.deck.warehouses = {}
+
+        # 仅当 warehouses 为空时尝试重新扫描（避免覆盖子类的修复）
+        if not self.deck.warehouses:
+            for resource in self.deck.children:
+                # 兼容性增强: 只要是仓库类别或者是 WareHouse 实例均可
+                is_warehouse = isinstance(resource, WareHouse) or getattr(resource, "category", "") == "warehouse"
+
+                # 如果配置中有定义，也可以认定为 warehouse
+                if not is_warehouse and "warehouse_mapping" in bioyond_config:
+                    if resource.name in bioyond_config["warehouse_mapping"]:
+                        is_warehouse = True
+
+                if is_warehouse:
+                    self.deck.warehouses[resource.name] = resource
+                    # 确保 category 被正确设置，方便后续使用
+                    if getattr(resource, "category", "") != "warehouse":
+                        try:
+                            resource.category = "warehouse"
+                        except:
+                            pass
 
         # 创建通信模块
         self._create_communication_module(bioyond_config)
@@ -627,18 +777,22 @@ class BioyondWorkstation(WorkstationBase):
             self._set_workflow_mappings(bioyond_config["workflow_mappings"])
 
         # 准备 HTTP 报送接收服务配置（延迟到 post_init 启动）
-        # 从 bioyond_config 中获取，如果没有则使用 HTTP_SERVICE_CONFIG 的默认值
+        # 从 bioyond_config 中的 http_service_config 获取
+        http_service_cfg = bioyond_config.get("http_service_config", {})
         self._http_service_config = {
-            "host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG["http_service_host"]),
-            "port": bioyond_config.get("http_service_port", HTTP_SERVICE_CONFIG["http_service_port"])
+            "host": http_service_cfg.get("http_service_host", "127.0.0.1"),
+            "port": http_service_cfg.get("http_service_port", 8080)
         }
-        self.http_service = None  # 将在 post_init 中启动
+        self.http_service = None  # 将在 post_init 启动
+        self.connection_monitor = None # 将在 post_init 启动
 
         logger.info(f"Bioyond工作站初始化完成")
 
     def __del__(self):
         """析构函数：清理资源，停止 HTTP 服务"""
         try:
+            if hasattr(self, 'connection_monitor') and self.connection_monitor:
+                self.connection_monitor.stop()
             if hasattr(self, 'http_service') and self.http_service is not None:
                 logger.info("正在停止 HTTP 报送服务...")
                 self.http_service.stop()
@@ -648,8 +802,19 @@ class BioyondWorkstation(WorkstationBase):
     def post_init(self, ros_node: ROS2WorkstationNode):
         self._ros_node = ros_node
 
+        # 启动连接监控
+        try:
+            self.connection_monitor = ConnectionMonitor(self)
+            self.connection_monitor.start()
+        except Exception as e:
+            logger.error(f"启动连接监控失败: {e}")
+
         # 启动 HTTP 报送接收服务（现在 device_id 已可用）
-        if hasattr(self, '_http_service_config'):
+        # ⚠️ 检查子类是否已经自己管理 HTTP 服务
+        if self.bioyond_config.get("_disable_auto_http_service"):
+            logger.info("🔧 检测到 _disable_auto_http_service 标志，跳过自动启动 HTTP 服务")
+            logger.info("   子类（BioyondCellWorkstation）已自行管理 HTTP 服务")
+        elif hasattr(self, '_http_service_config'):
             try:
                 self.http_service = WorkstationHTTPService(
                     workstation_instance=self,
@@ -688,19 +853,14 @@ class BioyondWorkstation(WorkstationBase):
 
     def _create_communication_module(self, config: Optional[Dict[str, Any]] = None) -> None:
         """创建Bioyond通信模块"""
-        # 创建默认配置
-        default_config = {
-            **API_CONFIG,
-            "workflow_mappings": WORKFLOW_MAPPINGS,
-            "material_type_mappings": MATERIAL_TYPE_MAPPINGS,
-            "warehouse_mapping": WAREHOUSE_MAPPING
-        }
-
-        # 如果传入了 config，合并配置（config 中的值会覆盖默认值）
+        # 直接使用传入的配置，不再使用默认值
+        # 所有配置必须从 JSON 文件中提供
         if config:
-            self.bioyond_config = {**default_config, **config}
+            self.bioyond_config = config
         else:
-            self.bioyond_config = default_config
+            # 如果没有配置，使用空字典（会导致后续错误，但这是预期的）
+            self.bioyond_config = {}
+            print("警告: 未提供 bioyond_config，请确保在 JSON 配置文件中提供完整配置")
 
         self.hardware_interface = BioyondV1RPC(self.bioyond_config)
 
@@ -1014,7 +1174,15 @@ class BioyondWorkstation(WorkstationBase):
 
         workflow_id = self._get_workflow(actual_workflow_name)
         if workflow_id:
-            self.workflow_sequence.append(workflow_id)
+            # 兼容 BioyondReactionStation 中 workflow_sequence 被重写为 property 的情况
+            if isinstance(self.workflow_sequence, list):
+                self.workflow_sequence.append(workflow_id)
+            elif hasattr(self, "_cached_workflow_sequence") and isinstance(self._cached_workflow_sequence, list):
+                self._cached_workflow_sequence.append(workflow_id)
+            else:
+                print(f"❌ 无法添加工作流: workflow_sequence 类型错误 {type(self.workflow_sequence)}")
+                return False
+
             print(f"添加工作流到执行顺序: {actual_workflow_name} -> {workflow_id}")
             return True
         return False
@@ -1215,6 +1383,22 @@ class BioyondWorkstation(WorkstationBase):
             # TODO: 根据实际业务需求处理步骤完成逻辑
             # 例如：更新数据库、触发后续流程等
 
+            # 发布任务状态事件 (running/progress update)
+            self._publish_task_status(
+                task_id=data.get('orderCode'), # 使用 OrderCode 作为关联 ID
+                task_code=data.get('orderCode'),
+                task_type="bioyond_step",
+                status="running",
+                progress=0.5, # 步骤完成视为任务进行中
+                result={"step_name": data.get('stepName'), "step_id": data.get('stepId')}
+            )
+
+            # 更新物料信息
+            # 步骤完成后，物料状态可能发生变化（如位置、用量等），触发同步
+            logger.info(f"[步骤完成报送] 触发物料同步...")
+            self.resource_synchronizer.sync_from_external()
+
+
             return {
                 "processed": True,
                 "step_id": data.get('stepId'),
@@ -1249,6 +1433,17 @@ class BioyondWorkstation(WorkstationBase):
 
             # TODO: 根据实际业务需求处理通量完成逻辑
 
+            # 发布任务状态事件
+            self._publish_task_status(
+                task_id=data.get('orderCode'),
+                task_code=data.get('orderCode'),
+                task_type="bioyond_sample",
+                status="running",
+                progress=0.7,
+                result={"sample_id": data.get('sampleId'), "status": status_desc}
+            )
+
+
             return {
                 "processed": True,
                 "sample_id": data.get('sampleId'),
@@ -1288,6 +1483,32 @@ class BioyondWorkstation(WorkstationBase):
             # TODO: 根据实际业务需求处理任务完成逻辑
             # 例如：更新物料库存、生成报表等
 
+            # 映射状态到事件状态
+            event_status = "completed"
+            if str(data.get('status')) in ["-11", "-12"]:
+                event_status = "error"
+            elif str(data.get('status')) == "30":
+                event_status = "completed"
+            else:
+                event_status = "running" # 其他状态视为运行中（或根据实际定义）
+
+            # 发布任务状态事件
+            self._publish_task_status(
+                task_id=data.get('orderCode'),
+                task_code=data.get('orderCode'),
+                task_type="bioyond_order",
+                status=event_status,
+                progress=1.0 if event_status in ["completed", "error"] else 0.9,
+                result={"order_name": data.get('orderName'), "status": status_desc, "materials_count": len(used_materials)}
+            )
+
+            # 更新物料信息
+            # 任务完成后，且状态为完成时，触发同步以更新最终物料状态
+            if event_status == "completed":
+                logger.info(f"[任务完成报送] 触发物料同步...")
+                self.resource_synchronizer.sync_from_external()
+
+
             return {
                 "processed": True,
                 "order_code": data.get('orderCode'),

unilabos/devices/workstation/coin_cell_assembly/20251230_Modbus_CSV_Mapping_Guide.md

@@ -0,0 +1,84 @@
+# Modbus CSV 地址映射说明
+
+本文档说明 `coin_cell_assembly_a.csv` 文件如何将命名节点映射到实际的 Modbus 地址，以及如何在代码中使用它们。
+
+## 1. CSV 文件结构
+
+地址表文件位于同级目录下：`coin_cell_assembly_a.csv`
+
+每一行定义了一个 Modbus 节点，包含以下关键列：
+
+| 列名 | 说明 | 示例 |
+|------|------|------|
+| **Name** | **节点名称** (代码中引用的 Key) | `COIL_ALUMINUM_FOIL` |
+| **DataType** | 数据类型 (BOOL, INT16, FLOAT32, STRING) | `BOOL` |
+| **Comment** | 注释说明 | `使用铝箔垫` |
+| **Attribute** | 属性 (通常留空或用于额外标记) | |
+| **DeviceType** | Modbus 寄存器类型 (`coil`, `hold_register`) | `coil` |
+| **Address** | **Modbus 地址** (十进制) | `8340` |
+
+### 示例行 (铝箔垫片)
+
+```csv
+COIL_ALUMINUM_FOIL,BOOL,,使用铝箔垫,,coil,8340,
+```
+
+- **名称**: `COIL_ALUMINUM_FOIL`
+- **类型**: `coil` (线圈，读写单个位)
+- **地址**: `8340`
+
+---
+
+## 2. 加载与注册流程
+
+在 `coin_cell_assembly.py` 的初始化代码中：
+
+1. **加载 CSV**: `BaseClient.load_csv()` 读取 CSV 并解析每行定义。
+2. **注册节点**: `modbus_client.register_node_list()` 将解析后的节点注册到 Modbus 客户端实例中。
+
+```python
+# 代码位置: coin_cell_assembly.py (L174-175)
+self.nodes = BaseClient.load_csv(os.path.join(os.path.dirname(__file__), 'coin_cell_assembly_a.csv'))                            
+self.client = modbus_client.register_node_list(self.nodes)
+```
+
+---
+
+## 3. 代码中的使用方式
+
+注册后，通过 `self.client.use_node('节点名称')` 即可获取该节点对象并进行读写操作，无需关心具体地址。
+
+### 控制铝箔垫片 (COIL_ALUMINUM_FOIL)
+
+```python
+# 代码位置: qiming_coin_cell_code 函数 (L1048)
+self.client.use_node('COIL_ALUMINUM_FOIL').write(not lvbodian)
+```
+
+- **写入 True**: 对应 Modbus 功能码 05 (Write Single Coil)，向地址 `8340` 写入 `1` (ON)。
+- **写入 False**: 向地址 `8340` 写入 `0` (OFF)。
+
+> **注意**: 代码中使用了 `not lvbodian`，这意味着逻辑是反转的。如果 `lvbodian` 参数为 `True` (默认)，写入的是 `False` (不使用铝箔垫)。
+
+---
+
+## 4. 地址转换注意事项 (Modbus vs PLC)
+
+CSV 中的 `Address` 列（如 `8340`）是 **Modbus 协议地址**。
+
+如果使用 InoProShop (汇川 PLC 编程软件)，看到的可能是 **PLC 内部地址** (如 `%QX...` 或 `%MW...`)。这两者之间通常需要转换。
+
+### 常见的转换规则 (示例)
+
+- **Coil (线圈) %QX**: 
+  - `Modbus地址 = 字节地址 * 8 + 位偏移`
+  - *例子*: `%QX834.0` -> `834 * 8 + 0` = `6672`
+  - *注意*: 如果 CSV 中配置的是 `8340`，这可能是一个自定义映射，或者是基于不同规则（如直接对应 Word 地址的某种映射，或者可能就是地址写错了/使用了非标准映射）。
+
+- **Register (寄存器) %MW**:
+  - 通常直接对应，或者有偏移量 (如 Modbus 40001 = PLC MW0)。
+
+### 验证方法
+由于 `test_unilab_interact.py` 中发现 `8450` (CSV风格) 不工作，而 `6760` (%QX845.0 计算值) 工作正常，**建议对 CSV 中的其他地址也进行核实**，特别是像 `8340` 这样以 0 结尾看起来像是 "字节地址+0" 的数值，可能实际上应该是 `%QX834.0` 对应的 `6672`。
+
+如果发现设备控制无反应，请尝试按照标准的 Modbus 计算方式转换 PLC 地址。

unilabos/devices/workstation/coin_cell_assembly/20260113_物料搜寻确认弹窗自动处理功能.md

@@ -0,0 +1,352 @@
+# 2026-01-13 物料搜寻确认弹窗自动处理功能
+
+## 概述
+
+本次更新为设备初始化流程添加了**物料搜寻确认弹窗自动检测与处理功能**。在设备初始化过程中，PLC 会弹出物料搜寻确认对话框，现在系统可以根据用户参数自动点击"是"或"否"按钮，无需手动干预。
+
+## 背景问题
+
+### 原有流程
+1. 调用 `func_pack_device_init_auto_start_combined()` 初始化设备
+2. PLC 在初始化过程中弹出物料搜寻确认对话框
+3. **需要人工手动点击**"是"或"否"按钮
+4. PLC 继续完成初始化并启动
+
+### 存在的问题
+- 需要人工干预，无法实现全自动化
+- 影响批量生产效率
+- 容易遗忘点击导致流程卡住
+
+## 解决方案
+
+### 新增 Modbus 地址配置
+
+在 `coin_cell_assembly_b.csv` 第 69-71 行添加三个 coil：
+
+| Name | DeviceType | Address | 说明 |
+|------|-----------|---------|------|
+| COIL_MATERIAL_SEARCH_DIALOG_APPEAR | coil | 6470 | 物料搜寻确认弹窗画面是否出现 |
+| COIL_MATERIAL_SEARCH_CONFIRM_YES | coil | 6480 | 初始化物料搜寻确认按钮"是" |
+| COIL_MATERIAL_SEARCH_CONFIRM_NO | coil | 6490 | 初始化物料搜寻确认按钮"否" |
+
+**Modbus 地址转换：**
+- CSV 6470 → Modbus 5176 (弹窗出现)
+- CSV 6480 → Modbus 5184 (按钮"是")
+- CSV 6490 → Modbus 5192 (按钮"否")
+
+## 代码修改详情
+
+### 1. coin_cell_assembly.py
+
+#### 1.1 新增辅助方法 `_handle_material_search_dialog()`
+
+**位置：** 第 799-901 行
+
+**功能：**
+- 监测物料搜寻确认弹窗是否出现（Coil 5176）
+- 根据 `enable_search` 参数自动点击对应按钮
+- 使用**脉冲模式**模拟真实按钮操作：`True` → 保持 0.5 秒 → `False`
+
+**参数：**
+- `enable_search: bool` - True=点击"是"(启用物料搜寻), False=点击"否"(不启用)
+- `timeout: int = 30` - 等待弹窗出现的最大时间（秒）
+
+**逻辑流程：**
+```python
+1. 监测 COIL_MATERIAL_SEARCH_DIALOG_APPEAR (每 0.5 秒检查一次)
+2. 检测到弹窗出现 (Coil = True)
+3. 选择按钮：
+   - enable_search=True  → COIL_MATERIAL_SEARCH_CONFIRM_YES
+   - enable_search=False → COIL_MATERIAL_SEARCH_CONFIRM_NO
+4. 执行脉冲操作：
+   - 写入 True (按下按钮)
+   - 等待 0.5 秒
+   - 写入 False (释放按钮)
+   - 验证状态
+```
+
+#### 1.2 修改 `func_pack_device_init_auto_start_combined()`
+
+**位置：** 第 904-1115 行
+
+**主要改动：**
+
+1. **添加新参数**
+   ```python
+   def func_pack_device_init_auto_start_combined(
+       self, 
+       material_search_enable: bool = False  # 新增参数
+   ) -> bool:
+   ```
+
+2. **内联初始化逻辑并集成弹窗检测**
+   - 不再调用 `self.func_pack_device_init()`
+   - 将初始化逻辑直接实现在函数内
+   - **在等待初始化完成的循环中实时检测弹窗**
+   - 避免死锁：PLC 等待弹窗确认 ↔ 代码等待初始化完成
+
+3. **关键代码片段**
+   ```python
+   # 等待初始化完成，同时检测物料搜寻弹窗
+   while (self._sys_init_status()) == False:
+       # 检查超时
+       if time.time() - start_wait > max_wait_time:
+           raise RuntimeError(f"初始化超时")
+       
+       # 如果还没处理弹窗，检测弹窗是否出现
+       if not dialog_handled:
+           dialog_state = self.client.use_node('COIL_MATERIAL_SEARCH_DIALOG_APPEAR').read(1)
+           if dialog_actual:  # 弹窗出现
+               # 执行脉冲按钮点击
+               button_node.write(True)   # 按下
+               time.sleep(0.5)            # 保持
+               button_node.write(False)   # 释放
+               dialog_handled = True
+       
+       time.sleep(1)
+   ```
+
+4. **步骤调整**
+   - 步骤 0: 前置条件检查
+   - 步骤 1: 设备初始化（**包含弹窗检测**）
+   - 步骤 1.5: 已在步骤 1 中完成
+   - 步骤 2: 切换自动模式
+   - 步骤 3: 启动设备
+
+### 2. coin_cell_workstation.yaml
+
+**位置：** 第 292-312 行
+
+**修改内容：**
+
+```yaml
+auto-func_pack_device_init_auto_start_combined:
+  goal_default:
+    material_search_enable: false  # 新增默认值
+  
+  schema:
+    description: 组合函数:设备初始化 + 物料搜寻确认 + 切换自动模式 + 启动。初始化过程中会自动检测物料搜寻确认弹窗，并根据参数自动点击"是"或"否"按钮
+    
+    goal:
+      properties:
+        material_search_enable:  # 新增参数配置
+          default: false
+          description: 是否启用物料搜寻功能。设备初始化后会弹出物料搜寻确认弹窗，此参数控制自动点击"是"(启用)或"否"(不启用)。默认为false(不启用物料搜寻)
+          type: boolean
+```
+
+### 3. 测试脚本（已创建，用户已删除）
+
+#### 3.1 test_material_search_dialog.py
+- 从 CSV 动态加载 Modbus 地址
+- 支持 4 种测试模式：
+  - `query` - 查询所有状态
+  - `dialog <0|1>` - 设置弹窗出现/消失
+  - `yes` - 脉冲点击"是"按钮
+  - `no` - 脉冲点击"否"按钮
+- 兼容 pymodbus 3.x API
+
+#### 3.2 更新其他测试脚本
+- `test_coin_cell_reset.py` - 更新为 pymodbus 3.x API
+- `test_unilab_interact.py` - 更新为 pymodbus 3.x API
+
+## 使用方法
+
+### 参数说明
+
+| 参数 | 类型 | 默认值 | 说明 |
+|------|------|--------|------|
+| `material_search_enable` | boolean | `false` | 是否启用物料搜寻功能 |
+
+### 调用示例
+
+#### 1. 不启用物料搜寻（默认）
+```python
+# 默认参数，点击"否"按钮
+await device.func_pack_device_init_auto_start_combined()
+```
+
+或在 YAML workflow 中：
+```yaml
+# 使用默认值 false，不启用物料搜寻
+- BatteryStation/auto-func_pack_device_init_auto_start_combined: {}
+```
+
+#### 2. 启用物料搜寻
+```python
+# 显式设置为 True，点击"是"按钮
+await device.func_pack_device_init_auto_start_combined(
+    material_search_enable=True
+)
+```
+
+或在 YAML workflow 中：
+```yaml
+- BatteryStation/auto-func_pack_device_init_auto_start_combined:
+    goal:
+      material_search_enable: true  # 启用物料搜寻
+```
+
+## 执行日志示例
+
+```
+26-01-13 [21:32:44] [INFO] 开始组合操作：设备初始化 → 物料搜寻确认 → 自动模式 → 启动
+26-01-13 [21:32:44] [INFO] 【步骤 0/4】前置条件检查...
+26-01-13 [21:32:44] [INFO]   ✓ REG_UNILAB_INTERACT 检查通过
+26-01-13 [21:32:44] [INFO]   ✓ COIL_GB_L_IGNORE_CMD 检查通过
+26-01-13 [21:32:44] [INFO] 【步骤 1/4】设备初始化...
+26-01-13 [21:32:44] [INFO] 切换手动模式...
+26-01-13 [21:32:46] [INFO] 发送初始化命令...
+26-01-13 [21:32:47] [INFO] 等待初始化完成（同时监测物料搜寻弹窗）...
+26-01-13 [21:33:05] [INFO] ✓ 在初始化过程中检测到物料搜寻确认弹窗！
+26-01-13 [21:33:05] [INFO] 用户选择: 不启用物料搜寻（点击否）
+26-01-13 [21:33:05] [INFO]   → 按下按钮 '否'
+26-01-13 [21:33:06] [INFO]   → 释放按钮 '否'
+26-01-13 [21:33:07] [INFO] ✓ 成功处理物料搜寻确认弹窗（选择: 否）
+26-01-13 [21:33:08] [INFO] ✓ 初始化状态完成
+26-01-13 [21:33:12] [INFO] ✓ 设备初始化完成
+26-01-13 [21:33:12] [INFO] 【步骤 1.5/4】物料搜寻确认已在初始化过程中完成
+26-01-13 [21:33:12] [INFO] 【步骤 2/4】切换自动模式...
+26-01-13 [21:33:15] [INFO] ✓ 切换自动模式完成
+26-01-13 [21:33:15] [INFO] 【步骤 3/4】启动设备...
+26-01-13 [21:33:18] [INFO] ✓ 启动设备完成
+26-01-13 [21:33:18] [INFO] 组合操作完成：设备已成功初始化、确认物料搜寻、切换自动模式并启动
+```
+
+## 技术要点
+
+### 1. 脉冲模式按钮操作
+模拟真实按钮按压过程：
+1. 写入 `True` (按下)
+2. 保持 0.5 秒
+3. 写入 `False` (释放)
+4. 验证状态
+
+### 2. 避免死锁
+**问题：** PLC 在初始化过程中等待弹窗确认，而代码等待初始化完成  
+**解决：** 在初始化等待循环中实时检测弹窗，一旦出现立即处理
+
+### 3. 超时保护
+- 弹窗检测超时：30 秒（在 `_handle_material_search_dialog` 中）
+- 初始化超时：120 秒（在 `func_pack_device_init_auto_start_combined` 中）
+
+### 4. PyModbus 3.x API 兼容
+所有 Modbus 操作使用 keyword arguments：
+```python
+# 读取
+client.read_coils(address=5176, count=1)
+
+# 写入
+client.write_coil(address=5184, value=True)
+```
+
+## 向后兼容性
+
+### 保留的原有函数
+- `func_pack_device_init()` - 单独的初始化函数，不包含弹窗处理
+- 仍可在 YAML 中通过 `auto-func_pack_device_init` 调用
+- 用于不需要自动处理弹窗的场景
+
+### 新增的功能
+- 在 `func_pack_device_init_auto_start_combined()` 中集成弹窗处理
+- 通过参数控制，默认行为与之前兼容（点击"否"）
+
+## 验证测试
+
+### 测试场景
+
+#### 场景 1：默认参数（不启用物料搜寻）
+```bash
+# 调用时不传参数
+BatteryStation/auto-func_pack_device_init_auto_start_combined: {}
+```
+**预期结果：**
+- ✅ 检测到弹窗
+- ✅ 自动点击"否"按钮
+- ✅ 初始化完成并启动成功
+
+#### 场景 2：启用物料搜寻
+```bash
+# 设置 material_search_enable=true
+BatteryStation/auto-func_pack_device_init_auto_start_combined:
+  goal:
+    material_search_enable: true
+```
+**预期结果：**
+- ✅ 检测到弹窗
+- ✅ 自动点击"是"按钮
+- ✅ 初始化完成并启动成功
+
+### 实际测试结果
+
+**测试时间：** 2026-01-13 21:32:43  
+**测试参数：** `material_search_enable: false`  
+**测试结果：** ✅ 成功
+
+**关键时间节点：**
+- 21:33:05 - 检测到弹窗
+- 21:33:05 - 按下"否"按钮
+- 21:33:06 - 释放"否"按钮  
+- 21:33:07 - 弹窗处理完成
+- 21:33:08 - 初始化状态完成
+- 21:33:18 - 整个流程完成
+
+**总耗时：** 约 35 秒（包含初始化全过程）
+
+## 注意事项
+
+1. **CSV 配置依赖**
+   - 确保 `coin_cell_assembly_b.csv` 包含 69-71 行的 coil 配置
+   - 地址转换逻辑：`modbus_addr = (csv_addr // 10) * 8 + (csv_addr % 10)`
+
+2. **默认行为**
+   - 默认 `material_search_enable=false`，即不启用物料搜寻
+   - 如需启用，必须显式设置为 `true`
+
+3. **日志级别**
+   - 弹窗检测过程中的 `waiting for init_cmd` 使用 DEBUG 级别
+   - 关键操作（检测到弹窗、按钮操作）使用 INFO 级别
+
+4. **原有函数保留**
+   - `func_pack_device_init()` 仍然可用，但不包含弹窗处理
+   - 如果单独调用此函数，仍需手动处理弹窗
+
+## 文件清单
+
+### 修改的文件
+1. `d:\UniLabdev\Uni-Lab-OS\unilabos\devices\workstation\coin_cell_assembly\coin_cell_assembly.py`
+   - 新增 `_handle_material_search_dialog()` 方法
+   - 修改 `func_pack_device_init_auto_start_combined()` 函数
+
+2. `d:\UniLabdev\Uni-Lab-OS\unilabos\registry\devices\coin_cell_workstation.yaml`
+   - 更新 `auto-func_pack_device_init_auto_start_combined` 配置
+   - 添加 `material_search_enable` 参数说明
+
+3. `d:\UniLabdev\Uni-Lab-OS\unilabos\devices\workstation\coin_cell_assembly\coin_cell_assembly_b.csv`
+   - 第 69-71 行添加三个 coil 配置
+
+### 创建的测试文件（已删除）
+1. `test_material_search_dialog.py` - 物料搜寻弹窗测试脚本
+2. `test_coin_cell_reset.py` - 复位功能测试（更新为 pymodbus 3.x）
+3. `test_unilab_interact.py` - Unilab 交互测试（更新为 pymodbus 3.x）
+
+## 总结
+
+本次更新成功实现了设备初始化过程中物料搜寻确认弹窗的自动化处理，主要优势：
+
+✅ **全自动化** - 无需人工干预  
+✅ **参数可配** - 灵活控制是否启用物料搜寻  
+✅ **实时检测** - 在初始化等待循环中检测，避免死锁  
+✅ **脉冲模式** - 模拟真实按钮操作  
+✅ **向后兼容** - 保留原有函数，不影响现有流程  
+✅ **完整日志** - 详细记录每一步操作  
+✅ **超时保护** - 防止无限等待  
+
+该功能已通过实际测试验证，可投入生产使用。
+
+---
+
+**文档版本：** 1.0  
+**创建日期：** 2026-01-13  
+**作者：** Antigravity AI Assistant  
+**最后更新：** 2026-01-13 21:36

unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py

@@ -0,0 +1,645 @@
+"""
+纽扣电池组装工作站物料类定义
+Button Battery Assembly Station Resource Classes
+"""
+
+from __future__ import annotations
+
+from collections import OrderedDict
+from typing import Any, Dict, List, Optional, TypedDict, Union, cast
+
+from pylabrobot.resources.coordinate import Coordinate
+from pylabrobot.resources.container import Container
+from pylabrobot.resources.deck import Deck
+from pylabrobot.resources.itemized_resource import ItemizedResource
+from pylabrobot.resources.resource import Resource
+from pylabrobot.resources.resource_stack import ResourceStack
+from pylabrobot.resources.tip_rack import TipRack, TipSpot
+from pylabrobot.resources.trash import Trash
+from pylabrobot.resources.utils import create_ordered_items_2d
+
+from unilabos.resources.battery.magazine import MagazineHolder_4_Cathode, MagazineHolder_6_Cathode, MagazineHolder_6_Anode, MagazineHolder_6_Battery
+from unilabos.resources.battery.bottle_carriers import YIHUA_Electrolyte_12VialCarrier
+from unilabos.resources.battery.electrode_sheet import ElectrodeSheet
+
+
+
+# TODO: 这个应该只能放一个极片
+class MaterialHoleState(TypedDict):
+    diameter: int
+    depth: int
+    max_sheets: int
+    info: Optional[str]  # 附加信息
+
+class MaterialHole(Resource):
+    """料板洞位类"""
+    children: List[ElectrodeSheet] = []
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "material_hole",
+        **kwargs
+    ):
+        super().__init__(
+            name=name,
+            size_x=size_x,
+            size_y=size_y,
+            size_z=size_z,
+            category=category,
+        )
+        self._unilabos_state: MaterialHoleState = MaterialHoleState(
+            diameter=20,
+            depth=10,
+            max_sheets=1,
+            info=None
+        )
+
+    def get_all_sheet_info(self):
+        info_list = []
+        for sheet in self.children:
+            info_list.append(sheet._unilabos_state["info"])
+        return info_list
+    
+    #这个函数函数好像没用，一般不会集中赋值质量
+    def set_all_sheet_mass(self):
+        for sheet in self.children:
+            sheet._unilabos_state["mass"] = 0.5  # 示例：设置质量为0.5g
+
+    def load_state(self, state: Dict[str, Any]) -> None:
+        """格式不变"""
+        super().load_state(state)
+        self._unilabos_state = state
+
+    def serialize_state(self) -> Dict[str, Dict[str, Any]]:
+        """格式不变"""
+        data = super().serialize_state()
+        data.update(self._unilabos_state)  # Container自身的信息，云端物料将保存这一data，本地也通过这里的data进行读写，当前类用来表示这个物料的长宽高大小的属性，而data（state用来表示物料的内容，细节等）
+        return data
+    #移动极片前先取出对象
+    def get_sheet_with_name(self, name: str) -> Optional[ElectrodeSheet]:
+        for sheet in self.children:
+            if sheet.name == name:
+                return sheet
+        return None
+
+    def has_electrode_sheet(self) -> bool:
+        """检查洞位是否有极片"""
+        return len(self.children) > 0
+
+    def assign_child_resource(
+        self,
+        resource: ElectrodeSheet,
+        location: Optional[Coordinate],
+        reassign: bool = True,
+    ):
+        """放置极片"""
+        # TODO: 这里要改，diameter找不到，加入._unilabos_state后应该没问题
+        #if resource._unilabos_state["diameter"] > self._unilabos_state["diameter"]:
+        #    raise ValueError(f"极片直径 {resource._unilabos_state['diameter']} 超过洞位直径 {self._unilabos_state['diameter']}")
+        #if len(self.children) >= self._unilabos_state["max_sheets"]:
+        #    raise ValueError(f"洞位已满，无法放置更多极片")
+        super().assign_child_resource(resource, location, reassign)
+
+    # 根据children的编号取物料对象。
+    def get_electrode_sheet_info(self, index: int) -> ElectrodeSheet:
+        return self.children[index]
+
+
+class MaterialPlateState(TypedDict):
+    hole_spacing_x: float
+    hole_spacing_y: float
+    hole_diameter: float
+    info: Optional[str]  # 附加信息
+
+class MaterialPlate(ItemizedResource[MaterialHole]):
+    """料板类 - 4x4个洞位，每个洞位放1个极片"""
+    
+    children: List[MaterialHole]
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        ordered_items: Optional[Dict[str, MaterialHole]] = None,
+        ordering: Optional[OrderedDict[str, str]] = None,
+        category: str = "material_plate",
+        model: Optional[str] = None,
+        fill: bool = False
+    ):
+        """初始化料板
+
+        Args:
+            name: 料板名称
+            size_x: 长度 (mm)
+            size_y: 宽度 (mm)
+            size_z: 高度 (mm)
+            hole_diameter: 洞直径 (mm)
+            hole_depth: 洞深度 (mm)
+            hole_spacing_x: X方向洞位间距 (mm)
+            hole_spacing_y: Y方向洞位间距 (mm)
+            number: 编号
+            category: 类别
+            model: 型号
+        """
+        self._unilabos_state: MaterialPlateState = MaterialPlateState(
+            hole_spacing_x=24.0,
+            hole_spacing_y=24.0,
+            hole_diameter=20.0,
+            info="",
+        )
+        # 创建4x4的洞位
+        # TODO: 这里要改，对应不同形状
+        holes = create_ordered_items_2d(
+            klass=MaterialHole,
+            num_items_x=4,
+            num_items_y=4,
+            dx=(size_x - 4 * self._unilabos_state["hole_spacing_x"]) / 2,  # 居中
+            dy=(size_y - 4 * self._unilabos_state["hole_spacing_y"]) / 2,  # 居中
+            dz=size_z,
+            item_dx=self._unilabos_state["hole_spacing_x"],
+            item_dy=self._unilabos_state["hole_spacing_y"],
+            size_x = 16,
+            size_y = 16,
+            size_z = 16,
+        )
+        if fill:
+            super().__init__(
+                name=name,
+                size_x=size_x,
+                size_y=size_y,
+                size_z=size_z,
+                ordered_items=holes,
+                category=category,
+                model=model,
+            )
+        else:
+            super().__init__(
+                name=name,
+                size_x=size_x,
+                size_y=size_y,
+                size_z=size_z,
+                ordered_items=ordered_items,
+                ordering=ordering,
+                category=category,
+                model=model,
+            )
+
+    def update_locations(self):
+        # TODO:调多次相加
+        holes = create_ordered_items_2d(
+            klass=MaterialHole,
+            num_items_x=4,
+            num_items_y=4,
+            dx=(self._size_x - 3 * self._unilabos_state["hole_spacing_x"]) / 2,  # 居中
+            dy=(self._size_y - 3 * self._unilabos_state["hole_spacing_y"]) / 2,  # 居中
+            dz=self._size_z,
+            item_dx=self._unilabos_state["hole_spacing_x"],
+            item_dy=self._unilabos_state["hole_spacing_y"],
+            size_x = 1,
+            size_y = 1,
+            size_z = 1,
+        )
+        for item, original_item in zip(holes.items(), self.children):
+            original_item.location = item[1].location
+
+
+class PlateSlot(ResourceStack):
+    """板槽位类 - 1个槽上能堆放8个板，移板只能操作最上方的板"""
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        max_plates: int = 8,
+        category: str = "plate_slot",
+        model: Optional[str] = None
+    ):
+        """初始化板槽位
+
+        Args:
+            name: 槽位名称
+            max_plates: 最大板数量
+            category: 类别
+        """
+        super().__init__(
+            name=name,
+            direction="z",  # Z方向堆叠
+            resources=[],
+        )
+        self.max_plates = max_plates
+        self.category = category
+
+    def can_add_plate(self) -> bool:
+        """检查是否可以添加板"""
+        return len(self.children) < self.max_plates
+
+    def add_plate(self, plate: MaterialPlate) -> None:
+        """添加料板"""
+        if not self.can_add_plate():
+            raise ValueError(f"槽位 {self.name} 已满，无法添加更多板")
+        self.assign_child_resource(plate)
+
+    def get_top_plate(self) -> MaterialPlate:
+        """获取最上方的板"""
+        if len(self.children) == 0:
+            raise ValueError(f"槽位 {self.name} 为空")
+        return cast(MaterialPlate, self.get_top_item())
+
+    def take_top_plate(self) -> MaterialPlate:
+        """取出最上方的板"""
+        top_plate = self.get_top_plate()
+        self.unassign_child_resource(top_plate)
+        return top_plate
+
+    def can_access_for_picking(self) -> bool:
+        """检查是否可以进行取料操作（只有最上方的板能进行取料操作）"""
+        return len(self.children) > 0
+
+    def serialize(self) -> dict:
+        return {
+            **super().serialize(),
+            "max_plates": self.max_plates,
+        }
+
+
+#是一种类型注解，不用self
+class BatteryState(TypedDict):
+    """电池状态字典"""
+    diameter: float
+    height: float
+    assembly_pressure: float
+    electrolyte_volume: float
+    electrolyte_name: str
+
+class Battery(Resource):
+    """电池类 - 可容纳极片"""
+    children: List[ElectrodeSheet] = []
+
+    def __init__(
+        self,
+        name: str,
+        size_x=1,
+        size_y=1,
+        size_z=1,
+        category: str = "battery",
+    ):
+        """初始化电池
+
+        Args:
+            name: 电池名称
+            diameter: 直径 (mm)
+            height: 高度 (mm)
+            max_volume: 最大容量 (μL)
+            barcode: 二维码编号
+            category: 类别
+            model: 型号
+        """
+        super().__init__(
+            name=name,
+            size_x=1,
+            size_y=1,
+            size_z=1,
+            category=category,
+        )
+        self._unilabos_state: BatteryState = BatteryState(
+                                 diameter = 1.0,
+                                 height = 1.0,
+                                 assembly_pressure = 1.0,
+                                 electrolyte_volume = 1.0,
+                                 electrolyte_name = "DP001"
+                                 )
+
+    def add_electrolyte_with_bottle(self, bottle: Bottle) -> bool:
+        to_add_name = bottle._unilabos_state["electrolyte_name"]
+        if bottle.aspirate_electrolyte(10):
+            if self.add_electrolyte(to_add_name, 10):
+                pass
+            else:
+                bottle._unilabos_state["electrolyte_volume"] += 10
+
+    def set_electrolyte(self, name: str, volume: float) -> None:
+        """设置电解液信息"""
+        self._unilabos_state["electrolyte_name"] = name
+        self._unilabos_state["electrolyte_volume"] = volume
+    #这个应该没用，不会有加了后再加的事情
+    def add_electrolyte(self, name: str, volume: float) -> bool:
+        """添加电解液信息"""
+        if name != self._unilabos_state["electrolyte_name"]:
+            return False
+        self._unilabos_state["electrolyte_volume"] += volume
+
+    def load_state(self, state: Dict[str, Any]) -> None:
+        """格式不变"""
+        super().load_state(state)
+        self._unilabos_state = state
+
+    def serialize_state(self) -> Dict[str, Dict[str, Any]]:
+        """格式不变"""
+        data = super().serialize_state()
+        data.update(self._unilabos_state)  # Container自身的信息，云端物料将保存这一data，本地也通过这里的data进行读写，当前类用来表示这个物料的长宽高大小的属性，而data（state用来表示物料的内容，细节等）
+        return data
+
+# 电解液作为属性放进去
+
+class BatteryPressSlotState(TypedDict):
+    """电池状态字典"""
+    diameter: float =20.0
+    depth: float = 4.0
+
+class BatteryPressSlot(Resource):
+    """电池压制槽类 - 设备，可容纳一个电池"""
+    children: List[Battery] = []
+
+    def __init__(
+        self,
+        name: str = "BatteryPressSlot",
+        category: str = "battery_press_slot",
+    ):
+        """初始化电池压制槽
+
+        Args:
+            name: 压制槽名称
+            diameter: 直径 (mm)
+            depth: 深度 (mm)
+            category: 类别
+            model: 型号
+        """
+        super().__init__(
+            name=name,
+            size_x=10,
+            size_y=12,
+            size_z=13,
+            category=category,
+        )
+        self._unilabos_state: BatteryPressSlotState = BatteryPressSlotState()
+
+    def has_battery(self) -> bool:
+        """检查是否有电池"""
+        return len(self.children) > 0
+
+    def load_state(self, state: Dict[str, Any]) -> None:
+        """格式不变"""
+        super().load_state(state)
+        self._unilabos_state = state
+
+    def serialize_state(self) -> Dict[str, Dict[str, Any]]:
+        """格式不变"""
+        data = super().serialize_state()
+        data.update(self._unilabos_state)  # Container自身的信息，云端物料将保存这一data，本地也通过这里的data进行读写，当前类用来表示这个物料的长宽高大小的属性，而data（state用来表示物料的内容，细节等）
+        return data
+    
+    def assign_child_resource(
+        self,
+        resource: Battery,
+        location: Optional[Coordinate],
+        reassign: bool = True,
+    ):
+        """放置极片"""
+        # TODO: 让高京看下槽位只有一个电池时是否这么写。
+        if self.has_battery():
+            raise ValueError(f"槽位已含有一个电池，无法再放置其他电池")
+        super().assign_child_resource(resource, location, reassign)
+
+    # 根据children的编号取物料对象。
+    def get_battery_info(self, index: int) -> Battery:
+        return self.children[0]
+
+
+def TipBox64(
+        name: str,
+        size_x: float = 127.8,
+        size_y: float = 85.5,
+        size_z: float = 60.0,
+        category: str = "tip_rack",
+        model: Optional[str] = None,
+):
+    """64孔枪头盒类"""
+    from pylabrobot.resources.tip import Tip
+
+    # 创建12x8=96个枪头位
+    def make_tip():
+        return Tip(
+            has_filter=False,
+            total_tip_length=20.0,
+            maximal_volume=1000,  # 1mL
+            fitting_depth=8.0,
+        )
+
+    tip_spots = create_ordered_items_2d(
+        klass=TipSpot,
+        num_items_x=12,
+        num_items_y=8,
+        dx=8.0,
+        dy=8.0,
+        dz=0.0,
+        item_dx=9.0,
+        item_dy=9.0,
+        size_x=10,
+        size_y=10,
+        size_z=0.0,
+        make_tip=make_tip,
+    )
+    idx_available = list(range(0, 32)) + list(range(64, 96))
+    tip_spots_available = {k: v for i, (k, v) in enumerate(tip_spots.items()) if i in idx_available}
+    tip_rack = TipRack(
+        name=name,
+        size_x=size_x,
+        size_y=size_y,
+        size_z=size_z,
+        # ordered_items=tip_spots_available,
+        ordered_items=tip_spots,
+        category=category,
+        model=model,
+        with_tips=False,
+    )
+    tip_rack.set_tip_state([True]*32 + [False]*32 + [True]*32)  # 前32和后32个有枪头，中间32个无枪头
+    return tip_rack
+
+
+class WasteTipBoxstate(TypedDict):
+    """"废枪头盒状态字典"""
+    max_tips: int = 100
+    tip_count: int = 0
+
+#枪头不是一次性的（同一溶液则反复使用），根据寄存器判断
+class WasteTipBox(Trash):
+    """废枪头盒类 - 100个枪头容量"""
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float = 127.8,
+        size_y: float = 85.5,
+        size_z: float = 60.0,
+        material_z_thickness=0,
+        max_volume=float("inf"),
+        category="trash",
+        model=None,
+        compute_volume_from_height=None,
+        compute_height_from_volume=None,
+    ):
+        """初始化废枪头盒
+
+        Args:
+            name: 废枪头盒名称
+            size_x: 长度 (mm)
+            size_y: 宽度 (mm)
+            size_z: 高度 (mm)
+            max_tips: 最大枪头容量
+            category: 类别
+            model: 型号
+        """
+        super().__init__(
+            name=name,
+            size_x=size_x,
+            size_y=size_y,
+            size_z=size_z,
+            category=category,
+            model=model,
+        )
+        self._unilabos_state: WasteTipBoxstate = WasteTipBoxstate()
+
+    def add_tip(self) -> None:
+        """添加废枪头"""
+        if self._unilabos_state["tip_count"] >= self._unilabos_state["max_tips"]:
+            raise ValueError(f"废枪头盒 {self.name} 已满")
+        self._unilabos_state["tip_count"] += 1
+
+    def get_tip_count(self) -> int:
+        """获取枪头数量"""
+        return self._unilabos_state["tip_count"]
+
+    def empty(self) -> None:
+        """清空废枪头盒"""
+        self._unilabos_state["tip_count"] = 0
+
+
+    def load_state(self, state: Dict[str, Any]) -> None:
+        """格式不变"""
+        super().load_state(state)
+        self._unilabos_state = state
+
+    def serialize_state(self) -> Dict[str, Dict[str, Any]]:
+        """格式不变"""
+        data = super().serialize_state()
+        data.update(self._unilabos_state)  # Container自身的信息，云端物料将保存这一data，本地也通过这里的data进行读写，当前类用来表示这个物料的长宽高大小的属性，而data（state用来表示物料的内容，细节等）
+        return data
+
+
+class CoincellDeck(Deck):
+    """纽扣电池组装工作站台面类"""
+
+    def __init__(
+        self,
+        name: str = "coin_cell_deck",
+        size_x: float = 1450.0,  # 1m
+        size_y: float = 1450.0,  # 1m
+        size_z: float = 100.0,   # 0.9m
+        origin: Coordinate = Coordinate(-2200, 0, 0),
+        category: str = "coin_cell_deck",
+        setup: bool = False,  # 是否自动执行 setup
+    ):
+        """初始化纽扣电池组装工作站台面
+
+        Args:
+            name: 台面名称
+            size_x: 长度 (mm) - 1m
+            size_y: 宽度 (mm) - 1m
+            size_z: 高度 (mm) - 0.9m
+            origin: 原点坐标
+            category: 类别
+            setup: 是否自动执行 setup 配置标准布局
+        """
+        super().__init__(
+            name=name,
+            size_x=1450.0,
+            size_y=1450.0,
+            size_z=100.0,
+            origin=origin,
+        )
+        if setup:
+            self.setup()
+
+    def setup(self) -> None:
+        """设置工作站的标准布局 - 包含子弹夹、料盘、瓶架等完整配置"""
+        # ====================================== 子弹夹 ============================================
+        
+        # 正极片（4个洞位，2x2布局）
+        zhengji_zip = MagazineHolder_4_Cathode("正极&铝箔弹夹")
+        self.assign_child_resource(zhengji_zip, Coordinate(x=402.0, y=830.0, z=0))
+        
+        # 正极壳、平垫片（6个洞位，2x2+2布局）
+        zhengjike_zip = MagazineHolder_6_Cathode("正极壳&平垫片弹夹")
+        self.assign_child_resource(zhengjike_zip, Coordinate(x=566.0, y=272.0, z=0))
+        
+        # 负极壳、弹垫片（6个洞位，2x2+2布局）
+        fujike_zip = MagazineHolder_6_Anode("负极壳&弹垫片弹夹")
+        self.assign_child_resource(fujike_zip, Coordinate(x=474.0, y=276.0, z=0))
+        
+        # 成品弹夹（6个洞位，3x2布局）
+        chengpindanjia_zip = MagazineHolder_6_Battery("成品弹夹")
+        self.assign_child_resource(chengpindanjia_zip, Coordinate(x=260.0, y=156.0, z=0))
+        
+        # ====================================== 物料板 ============================================
+        # 创建物料板（料盘carrier）- 4x4布局
+        # 负极料盘
+        fujiliaopan = MaterialPlate(name="负极料盘", size_x=120, size_y=100, size_z=10.0, fill=True)
+        self.assign_child_resource(fujiliaopan, Coordinate(x=708.0, y=794.0, z=0))
+        # for i in range(16):
+        #     fujipian = ElectrodeSheet(name=f"{fujiliaopan.name}_jipian_{i}", size_x=12, size_y=12, size_z=0.1)
+        #     fujiliaopan.children[i].assign_child_resource(fujipian, location=None)
+
+        # 隔膜料盘
+        gemoliaopan = MaterialPlate(name="隔膜料盘", size_x=120, size_y=100, size_z=10.0, fill=True)
+        self.assign_child_resource(gemoliaopan, Coordinate(x=718.0, y=918.0, z=0))
+        # for i in range(16):
+        #     gemopian = ElectrodeSheet(name=f"{gemoliaopan.name}_jipian_{i}", size_x=12, size_y=12, size_z=0.1)
+        #     gemoliaopan.children[i].assign_child_resource(gemopian, location=None)
+
+        # ====================================== 瓶架、移液枪 ============================================
+        # 在台面上放置 3x4 瓶架、6x2 瓶架 与 64孔移液枪头盒
+        # 奔耀上料5ml分液瓶小板 - 由奔曜跨站转运而来，不单独写，但是这里应该有一个堆栈用于摆放分液瓶小板
+        
+        # bottle_rack_3x4 = BottleRack(
+        #     name="bottle_rack_3x4",
+        #     size_x=210.0,
+        #     size_y=140.0,
+        #     size_z=100.0,
+        #     num_items_x=2,
+        #     num_items_y=4,
+        #     position_spacing=35.0,
+        #     orientation="vertical",
+        # )
+        # self.assign_child_resource(bottle_rack_3x4, Coordinate(x=1542.0, y=717.0, z=0))
+        
+        # 电解液缓存位 - 6x2布局
+        bottle_rack_6x2 = YIHUA_Electrolyte_12VialCarrier(name="bottle_rack_6x2")
+        self.assign_child_resource(bottle_rack_6x2, Coordinate(x=1050.0, y=358.0, z=0))
+        # 电解液回收位6x2
+        bottle_rack_6x2_2 = YIHUA_Electrolyte_12VialCarrier(name="bottle_rack_6x2_2")
+        self.assign_child_resource(bottle_rack_6x2_2, Coordinate(x=914.0, y=358.0, z=0))
+
+        tip_box = TipBox64(name="tip_box_64")
+        self.assign_child_resource(tip_box, Coordinate(x=782.0, y=514.0, z=0))
+
+        waste_tip_box = WasteTipBox(name="waste_tip_box")
+        self.assign_child_resource(waste_tip_box, Coordinate(x=778.0, y=622.0, z=0))
+
+
+def YH_Deck(name=""):
+    cd = CoincellDeck(name=name)
+    cd.setup()
+    return cd
+
+
+if __name__ == "__main__":
+    deck = create_coin_cell_deck()
+    print(deck)

unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly_b.csv

@@ -0,0 +1,133 @@
+Name,DataType,InitValue,Comment,Attribute,DeviceType,Address,
+COIL_SYS_START_CMD,BOOL,,,,coil,8010,
+COIL_SYS_STOP_CMD,BOOL,,,,coil,8020,
+COIL_SYS_RESET_CMD,BOOL,,,,coil,8030,
+COIL_SYS_HAND_CMD,BOOL,,,,coil,8040,
+COIL_SYS_AUTO_CMD,BOOL,,,,coil,8050,
+COIL_SYS_INIT_CMD,BOOL,,,,coil,8060,
+COIL_UNILAB_SEND_MSG_SUCC_CMD,BOOL,,,,coil,8700,
+COIL_UNILAB_REC_MSG_SUCC_CMD,BOOL,,,,coil,8710,unilab_rec_msg_succ_cmd
+COIL_SYS_START_STATUS,BOOL,,,,coil,8210,
+COIL_SYS_STOP_STATUS,BOOL,,,,coil,8220,
+COIL_SYS_RESET_STATUS,BOOL,,,,coil,8230,
+COIL_SYS_HAND_STATUS,BOOL,,,,coil,8240,
+COIL_SYS_AUTO_STATUS,BOOL,,,,coil,8250,
+COIL_SYS_INIT_STATUS,BOOL,,,,coil,8260,
+COIL_REQUEST_REC_MSG_STATUS,BOOL,,,,coil,8500,
+COIL_REQUEST_SEND_MSG_STATUS,BOOL,,,,coil,8510,request_send_msg_status
+REG_MSG_ELECTROLYTE_USE_NUM,INT16,,,,hold_register,11000,
+REG_MSG_ELECTROLYTE_NUM,INT16,,,,hold_register,11002,unilab_send_msg_electrolyte_num
+REG_MSG_ELECTROLYTE_VOLUME,INT16,,,,hold_register,11004,unilab_send_msg_electrolyte_vol
+REG_MSG_ASSEMBLY_TYPE,INT16,,,,hold_register,11006,unilab_send_msg_assembly_type
+REG_MSG_ASSEMBLY_PRESSURE,INT16,,,,hold_register,11008,unilab_send_msg_assembly_pressure
+REG_DATA_ASSEMBLY_COIN_CELL_NUM,INT16,,,,hold_register,10000,data_assembly_coin_cell_num
+REG_DATA_OPEN_CIRCUIT_VOLTAGE,FLOAT32,,,,hold_register,10002,data_open_circuit_voltage
+REG_DATA_AXIS_X_POS,FLOAT32,,,,hold_register,10004,
+REG_DATA_AXIS_Y_POS,FLOAT32,,,,hold_register,10006,
+REG_DATA_AXIS_Z_POS,FLOAT32,,,,hold_register,10008,
+REG_DATA_POLE_WEIGHT,FLOAT32,,,,hold_register,10010,data_pole_weight
+REG_DATA_ASSEMBLY_PER_TIME,FLOAT32,,,,hold_register,10012,data_assembly_time
+REG_DATA_ASSEMBLY_PRESSURE,INT16,,,,hold_register,10014,data_assembly_pressure
+REG_DATA_ELECTROLYTE_VOLUME,INT16,,,,hold_register,10016,data_electrolyte_volume
+REG_DATA_COIN_NUM,INT16,,,,hold_register,10018,data_coin_num
+REG_DATA_ELECTROLYTE_CODE,STRING,,,,hold_register,10020,data_electrolyte_code()
+REG_DATA_COIN_CELL_CODE,STRING,,,,hold_register,10030,data_coin_cell_code()
+REG_DATA_STACK_VISON_CODE,STRING,,,,hold_register,12004,data_stack_vision_code()
+REG_DATA_GLOVE_BOX_PRESSURE,FLOAT32,,,,hold_register,10050,data_glove_box_pressure
+REG_DATA_GLOVE_BOX_WATER_CONTENT,FLOAT32,,,,hold_register,10052,data_glove_box_water_content
+REG_DATA_GLOVE_BOX_O2_CONTENT,FLOAT32,,,,hold_register,10054,data_glove_box_o2_content
+UNILAB_SEND_ELECTROLYTE_BOTTLE_NUM,BOOL,,,,coil,8720,
+UNILAB_RECE_ELECTROLYTE_BOTTLE_NUM,BOOL,,,,coil,8520,
+REG_MSG_ELECTROLYTE_NUM_USED,INT16,,,,hold_register,496,
+REG_DATA_ELECTROLYTE_USE_NUM,INT16,,,,hold_register,10000,
+UNILAB_SEND_FINISHED_CMD,BOOL,,,,coil,8730,
+UNILAB_RECE_FINISHED_CMD,BOOL,,,,coil,8530,
+REG_DATA_ASSEMBLY_TYPE,INT16,,,,hold_register,10018,ASSEMBLY_TYPE7or8
+REG_UNILAB_INTERACT,BOOL,,,,coil,8450,
+,,,,,coil,8320,
+COIL_ALUMINUM_FOIL,BOOL,,,,coil,8340,
+REG_MSG_NE_PLATE_MATRIX,INT16,,,,hold_register,440,
+REG_MSG_SEPARATOR_PLATE_MATRIX,INT16,,,,hold_register,450,
+REG_MSG_TIP_BOX_MATRIX,INT16,,,,hold_register,480,
+REG_MSG_NE_PLATE_NUM,INT16,,,,hold_register,443,
+REG_MSG_SEPARATOR_PLATE_NUM,INT16,,,,hold_register,453,
+REG_MSG_PRESS_MODE,BOOL,,,,coil,8360,
+,BOOL,,,,coil,8300,
+,BOOL,,,,coil,8310,
+COIL_GB_L_IGNORE_CMD,BOOL,,,,coil,8320,
+COIL_GB_R_IGNORE_CMD,BOOL,,,,coil,8420,
+,BOOL,,,,coil,8350,
+COIL_ELECTROLYTE_DUAL_DROP_MODE,BOOL,,,,coil,8370,
+,BOOL,,,,coil,8380,
+,BOOL,,,,coil,8390,
+,BOOL,,,,coil,8400,
+,BOOL,,,,coil,8410,
+REG_MSG_DUAL_DROP_FIRST_VOLUME,INT16,,,,hold_register,4001,
+COIL_DUAL_DROP_SUCTION_TIMING,BOOL,,,,coil,8430,
+COIL_DUAL_DROP_START_TIMING,BOOL,,,,coil,8470,
+REG_MSG_BATTERY_CLEAN_IGNORE,BOOL,,,,coil,8460,
+COIL_MATERIAL_SEARCH_DIALOG_APPEAR,BOOL,,,,coil,6470,
+COIL_MATERIAL_SEARCH_CONFIRM_YES,BOOL,,,,coil,6480,
+COIL_MATERIAL_SEARCH_CONFIRM_NO,BOOL,,,,coil,6490,
+COIL_ALARM_100_SYSTEM_ERROR,BOOL,,,,coil,1000,异常100-系统异常
+COIL_ALARM_101_EMERGENCY_STOP,BOOL,,,,coil,1010,异常101-急停
+COIL_ALARM_111_GLOVEBOX_EMERGENCY_STOP,BOOL,,,,coil,1110,异常111-手套箱急停
+COIL_ALARM_112_GLOVEBOX_GRATING_BLOCKED,BOOL,,,,coil,1120,异常112-手套箱内光栅遮挡
+COIL_ALARM_160_PIPETTE_TIP_SHORTAGE,BOOL,,,,coil,1600,异常160-移液枪头缺料
+COIL_ALARM_161_POSITIVE_SHELL_SHORTAGE,BOOL,,,,coil,1610,异常161-正极壳缺料
+COIL_ALARM_162_ALUMINUM_FOIL_SHORTAGE,BOOL,,,,coil,1620,异常162-铝箔垫缺料
+COIL_ALARM_163_POSITIVE_PLATE_SHORTAGE,BOOL,,,,coil,1630,异常163-正极片缺料
+COIL_ALARM_164_SEPARATOR_SHORTAGE,BOOL,,,,coil,1640,异常164-隔膜缺料
+COIL_ALARM_165_NEGATIVE_PLATE_SHORTAGE,BOOL,,,,coil,1650,异常165-负极片缺料
+COIL_ALARM_166_FLAT_WASHER_SHORTAGE,BOOL,,,,coil,1660,异常166-平垫缺料
+COIL_ALARM_167_SPRING_WASHER_SHORTAGE,BOOL,,,,coil,1670,异常167-弹垫缺料
+COIL_ALARM_168_NEGATIVE_SHELL_SHORTAGE,BOOL,,,,coil,1680,异常168-负极壳缺料
+COIL_ALARM_169_FINISHED_BATTERY_FULL,BOOL,,,,coil,1690,异常169-成品电池满料
+COIL_ALARM_201_SERVO_AXIS_01_ERROR,BOOL,,,,coil,2010,异常201-伺服轴01异常
+COIL_ALARM_202_SERVO_AXIS_02_ERROR,BOOL,,,,coil,2020,异常202-伺服轴02异常
+COIL_ALARM_203_SERVO_AXIS_03_ERROR,BOOL,,,,coil,2030,异常203-伺服轴03异常
+COIL_ALARM_204_SERVO_AXIS_04_ERROR,BOOL,,,,coil,2040,异常204-伺服轴04异常
+COIL_ALARM_205_SERVO_AXIS_05_ERROR,BOOL,,,,coil,2050,异常205-伺服轴05异常
+COIL_ALARM_206_SERVO_AXIS_06_ERROR,BOOL,,,,coil,2060,异常206-伺服轴06异常
+COIL_ALARM_207_SERVO_AXIS_07_ERROR,BOOL,,,,coil,2070,异常207-伺服轴07异常
+COIL_ALARM_208_SERVO_AXIS_08_ERROR,BOOL,,,,coil,2080,异常208-伺服轴08异常
+COIL_ALARM_209_SERVO_AXIS_09_ERROR,BOOL,,,,coil,2090,异常209-伺服轴09异常
+COIL_ALARM_210_SERVO_AXIS_10_ERROR,BOOL,,,,coil,2100,异常210-伺服轴10异常
+COIL_ALARM_211_SERVO_AXIS_11_ERROR,BOOL,,,,coil,2110,异常211-伺服轴11异常
+COIL_ALARM_212_SERVO_AXIS_12_ERROR,BOOL,,,,coil,2120,异常212-伺服轴12异常
+COIL_ALARM_213_SERVO_AXIS_13_ERROR,BOOL,,,,coil,2130,异常213-伺服轴13异常
+COIL_ALARM_214_SERVO_AXIS_14_ERROR,BOOL,,,,coil,2140,异常214-伺服轴14异常
+COIL_ALARM_250_OTHER_COMPONENT_ERROR,BOOL,,,,coil,2500,异常250-其他元件异常
+COIL_ALARM_251_PIPETTE_COMM_ERROR,BOOL,,,,coil,2510,异常251-移液枪通讯异常
+COIL_ALARM_252_PIPETTE_ALARM,BOOL,,,,coil,2520,异常252-移液枪报警
+COIL_ALARM_256_ELECTRIC_GRIPPER_ERROR,BOOL,,,,coil,2560,异常256-电爪异常
+COIL_ALARM_262_RB_UNKNOWN_POSITION_ERROR,BOOL,,,,coil,2620,异常262-RB报警：未知点位错误
+COIL_ALARM_263_RB_XYZ_PARAM_LIMIT_ERROR,BOOL,,,,coil,2630,异常263-RB报警：X、Y、Z参数超限制
+COIL_ALARM_264_RB_VISION_PARAM_ERROR,BOOL,,,,coil,2640,异常264-RB报警：视觉参数误差过大
+COIL_ALARM_265_RB_NOZZLE_1_PICK_FAIL,BOOL,,,,coil,2650,异常265-RB报警：1#吸嘴取料失败
+COIL_ALARM_266_RB_NOZZLE_2_PICK_FAIL,BOOL,,,,coil,2660,异常266-RB报警：2#吸嘴取料失败
+COIL_ALARM_267_RB_NOZZLE_3_PICK_FAIL,BOOL,,,,coil,2670,异常267-RB报警：3#吸嘴取料失败
+COIL_ALARM_268_RB_NOZZLE_4_PICK_FAIL,BOOL,,,,coil,2680,异常268-RB报警：4#吸嘴取料失败
+COIL_ALARM_269_RB_TRAY_PICK_FAIL,BOOL,,,,coil,2690,异常269-RB报警：取物料盘失败
+COIL_ALARM_280_RB_COLLISION_ERROR,BOOL,,,,coil,2800,异常280-RB碰撞异常
+COIL_ALARM_290_VISION_SYSTEM_COMM_ERROR,BOOL,,,,coil,2900,异常290-视觉系统通讯异常
+COIL_ALARM_291_VISION_ALIGNMENT_NG,BOOL,,,,coil,2910,异常291-视觉对位NG异常
+COIL_ALARM_292_BARCODE_SCANNER_COMM_ERROR,BOOL,,,,coil,2920,异常292-扫码枪通讯异常
+COIL_ALARM_310_OCV_TRANSFER_NOZZLE_SUCTION_ERROR,BOOL,,,,coil,3100,异常310-开电移载吸嘴吸真空异常
+COIL_ALARM_311_OCV_TRANSFER_NOZZLE_BREAK_ERROR,BOOL,,,,coil,3110,异常311-开电移载吸嘴破真空异常
+COIL_ALARM_312_WEIGHT_TRANSFER_NOZZLE_SUCTION_ERROR,BOOL,,,,coil,3120,异常312-称重移载吸嘴吸真空异常
+COIL_ALARM_313_WEIGHT_TRANSFER_NOZZLE_BREAK_ERROR,BOOL,,,,coil,3130,异常313-称重移载吸嘴破真空异常
+COIL_ALARM_340_OCV_NOZZLE_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3400,异常340-开路电压吸嘴移载气缸异常
+COIL_ALARM_342_OCV_NOZZLE_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3420,异常342-开路电压吸嘴升降气缸异常
+COIL_ALARM_344_OCV_CRIMPING_CYLINDER_ERROR,BOOL,,,,coil,3440,异常344-开路电压旋压气缸异常
+COIL_ALARM_350_WEIGHT_NOZZLE_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3500,异常350-称重吸嘴移载气缸异常
+COIL_ALARM_352_WEIGHT_NOZZLE_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3520,异常352-称重吸嘴升降气缸异常
+COIL_ALARM_354_CLEANING_CLOTH_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3540,异常354-清洗无尘布移载气缸异常
+COIL_ALARM_356_CLEANING_CLOTH_PRESS_CYLINDER_ERROR,BOOL,,,,coil,3560,异常356-清洗无尘布压紧气缸异常
+COIL_ALARM_360_ELECTROLYTE_BOTTLE_POSITION_CYLINDER_ERROR,BOOL,,,,coil,3600,异常360-电解液瓶定位气缸异常
+COIL_ALARM_362_PIPETTE_TIP_BOX_POSITION_CYLINDER_ERROR,BOOL,,,,coil,3620,异常362-移液枪头盒定位气缸异常
+COIL_ALARM_364_REAGENT_BOTTLE_GRIPPER_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3640,异常364-试剂瓶夹爪升降气缸异常
+COIL_ALARM_366_REAGENT_BOTTLE_GRIPPER_CYLINDER_ERROR,BOOL,,,,coil,3660,异常366-试剂瓶夹爪气缸异常
+COIL_ALARM_370_PRESS_MODULE_BLOW_CYLINDER_ERROR,BOOL,,,,coil,3700,异常370-压制模块吹气气缸异常
+COIL_ALARM_151_ELECTROLYTE_BOTTLE_POSITION_ERROR,BOOL,,,,coil,1510,异常151-电解液瓶定位在籍异常
+COIL_ALARM_152_ELECTROLYTE_BOTTLE_CAP_ERROR,BOOL,,,,coil,1520,异常152-电解液瓶盖在籍异常

unilabos/devices/workstation/workstation_http_service.py

@@ -459,12 +459,12 @@ class WorkstationHTTPHandler(BaseHTTPRequestHandler):
             # 验证必需字段
             if 'brand' in request_data:
                 if request_data['brand'] == "bioyond":  # 奔曜
-                    error_msg = request_data["text"]
-                    logger.info(f"收到奔曜错误处理报送: {error_msg}")
+                    material_data = request_data["text"]
+                    logger.info(f"收到奔曜物料变更报送: {material_data}")
                     return HttpResponse(
                         success=True,
-                        message=f"错误处理报送已收到: {error_msg}",
-                        acknowledgment_id=f"ERROR_{int(time.time() * 1000)}_{error_msg.get('action_id', 'unknown')}",
+                        message=f"物料变更报送已收到: {material_data}",
+                        acknowledgment_id=f"MATERIAL_{int(time.time() * 1000)}_{material_data.get('id', 'unknown')}",
                         data=None
                     )
             else:

unilabos/registry/ast_registry_scanner.py

@@ -825,6 +825,7 @@ def _extract_class_body(
             action_args.setdefault("placeholder_keys", {})
             action_args.setdefault("always_free", False)
             action_args.setdefault("is_protocol", False)
+            action_args.setdefault("feedback_interval", 1.0)
             action_args.setdefault("description", "")
             action_args.setdefault("auto_prefix", False)
             action_args.setdefault("parent", False)

unilabos/registry/decorators.py

@@ -343,6 +343,7 @@ def action(
     auto_prefix: bool = False,
     parent: bool = False,
     node_type: Optional["NodeType"] = None,
+    feedback_interval: Optional[float] = None,
 ):
     """
     动作方法装饰器
@@ -378,9 +379,16 @@ def action(
     """
 
     def decorator(func: F) -> F:
-        @wraps(func)
-        def wrapper(*args, **kwargs):
-            return func(*args, **kwargs)
+        import asyncio as _asyncio
+
+        if _asyncio.iscoroutinefunction(func):
+            @wraps(func)
+            async def wrapper(*args, **kwargs):
+                return await func(*args, **kwargs)
+        else:
+            @wraps(func)
+            def wrapper(*args, **kwargs):
+                return func(*args, **kwargs)
 
         # action_type 为哨兵值 => 用户没传, 视为 None (UniLabJsonCommand)
         resolved_type = None if action_type is _ACTION_TYPE_UNSET else action_type
@@ -399,6 +407,8 @@ def action(
             "auto_prefix": auto_prefix,
             "parent": parent,
         }
+        if feedback_interval is not None:
+            meta["feedback_interval"] = feedback_interval
         if node_type is not None:
             meta["node_type"] = node_type.value if isinstance(node_type, NodeType) else str(node_type)
         wrapper._action_registry_meta = meta  # type: ignore[attr-defined]

unilabos/registry/devices/bioyond.yaml

@@ -1,589 +0,0 @@
-workstation.bioyond_dispensing_station:
-  category:
-  - workstation
-  - bioyond
-  class:
-    action_value_mappings:
-      auto-batch_create_90_10_vial_feeding_tasks:
-        feedback: {}
-        goal: {}
-        goal_default:
-          delay_time: null
-          hold_m_name: null
-          liquid_material_name: NMP
-          speed: null
-          temperature: null
-          titration: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                delay_time:
-                  type: string
-                hold_m_name:
-                  type: string
-                liquid_material_name:
-                  default: NMP
-                  type: string
-                speed:
-                  type: string
-                temperature:
-                  type: string
-                titration:
-                  type: string
-              required:
-              - titration
-              type: object
-            result: {}
-          required:
-          - goal
-          title: batch_create_90_10_vial_feeding_tasks参数
-          type: object
-        type: UniLabJsonCommand
-      auto-batch_create_diamine_solution_tasks:
-        feedback: {}
-        goal: {}
-        goal_default:
-          delay_time: null
-          liquid_material_name: NMP
-          solutions: null
-          speed: null
-          temperature: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                delay_time:
-                  type: string
-                liquid_material_name:
-                  default: NMP
-                  type: string
-                solutions:
-                  type: string
-                speed:
-                  type: string
-                temperature:
-                  type: string
-              required:
-              - solutions
-              type: object
-            result: {}
-          required:
-          - goal
-          title: batch_create_diamine_solution_tasks参数
-          type: object
-        type: UniLabJsonCommand
-      auto-brief_step_parameters:
-        feedback: {}
-        goal: {}
-        goal_default:
-          data: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                data:
-                  type: object
-              required:
-              - data
-              type: object
-            result: {}
-          required:
-          - goal
-          title: brief_step_parameters参数
-          type: object
-        type: UniLabJsonCommand
-      auto-compute_experiment_design:
-        feedback: {}
-        goal: {}
-        goal_default:
-          m_tot: '70'
-          ratio: null
-          titration_percent: '0.03'
-          wt_percent: '0.25'
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                m_tot:
-                  default: '70'
-                  type: string
-                ratio:
-                  type: object
-                titration_percent:
-                  default: '0.03'
-                  type: string
-                wt_percent:
-                  default: '0.25'
-                  type: string
-              required:
-              - ratio
-              type: object
-            result:
-              properties:
-                feeding_order:
-                  items: {}
-                  title: Feeding Order
-                  type: array
-                return_info:
-                  title: Return Info
-                  type: string
-                solutions:
-                  items: {}
-                  title: Solutions
-                  type: array
-                solvents:
-                  additionalProperties: true
-                  title: Solvents
-                  type: object
-                titration:
-                  additionalProperties: true
-                  title: Titration
-                  type: object
-              required:
-              - solutions
-              - titration
-              - solvents
-              - feeding_order
-              - return_info
-              title: ComputeExperimentDesignReturn
-              type: object
-          required:
-          - goal
-          title: compute_experiment_design参数
-          type: object
-        type: UniLabJsonCommand
-      auto-process_order_finish_report:
-        feedback: {}
-        goal: {}
-        goal_default:
-          report_request: null
-          used_materials: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                report_request:
-                  type: string
-                used_materials:
-                  type: string
-              required:
-              - report_request
-              - used_materials
-              type: object
-            result: {}
-          required:
-          - goal
-          title: process_order_finish_report参数
-          type: object
-        type: UniLabJsonCommand
-      auto-project_order_report:
-        feedback: {}
-        goal: {}
-        goal_default:
-          order_id: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                order_id:
-                  type: string
-              required:
-              - order_id
-              type: object
-            result: {}
-          required:
-          - goal
-          title: project_order_report参数
-          type: object
-        type: UniLabJsonCommand
-      auto-query_resource_by_name:
-        feedback: {}
-        goal: {}
-        goal_default:
-          material_name: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                material_name:
-                  type: string
-              required:
-              - material_name
-              type: object
-            result: {}
-          required:
-          - goal
-          title: query_resource_by_name参数
-          type: object
-        type: UniLabJsonCommand
-      auto-transfer_materials_to_reaction_station:
-        feedback: {}
-        goal: {}
-        goal_default:
-          target_device_id: null
-          transfer_groups: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                target_device_id:
-                  type: string
-                transfer_groups:
-                  type: array
-              required:
-              - target_device_id
-              - transfer_groups
-              type: object
-            result: {}
-          required:
-          - goal
-          title: transfer_materials_to_reaction_station参数
-          type: object
-        type: UniLabJsonCommand
-      auto-wait_for_multiple_orders_and_get_reports:
-        feedback: {}
-        goal: {}
-        goal_default:
-          batch_create_result: null
-          check_interval: 10
-          timeout: 7200
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                batch_create_result:
-                  type: string
-                check_interval:
-                  default: 10
-                  type: integer
-                timeout:
-                  default: 7200
-                  type: integer
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: wait_for_multiple_orders_and_get_reports参数
-          type: object
-        type: UniLabJsonCommand
-      auto-workflow_sample_locations:
-        feedback: {}
-        goal: {}
-        goal_default:
-          workflow_id: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                workflow_id:
-                  type: string
-              required:
-              - workflow_id
-              type: object
-            result: {}
-          required:
-          - goal
-          title: workflow_sample_locations参数
-          type: object
-        type: UniLabJsonCommand
-      create_90_10_vial_feeding_task:
-        feedback: {}
-        goal:
-          delay_time: delay_time
-          hold_m_name: hold_m_name
-          order_name: order_name
-          percent_10_1_assign_material_name: percent_10_1_assign_material_name
-          percent_10_1_liquid_material_name: percent_10_1_liquid_material_name
-          percent_10_1_target_weigh: percent_10_1_target_weigh
-          percent_10_1_volume: percent_10_1_volume
-          percent_10_2_assign_material_name: percent_10_2_assign_material_name
-          percent_10_2_liquid_material_name: percent_10_2_liquid_material_name
-          percent_10_2_target_weigh: percent_10_2_target_weigh
-          percent_10_2_volume: percent_10_2_volume
-          percent_10_3_assign_material_name: percent_10_3_assign_material_name
-          percent_10_3_liquid_material_name: percent_10_3_liquid_material_name
-          percent_10_3_target_weigh: percent_10_3_target_weigh
-          percent_10_3_volume: percent_10_3_volume
-          percent_90_1_assign_material_name: percent_90_1_assign_material_name
-          percent_90_1_target_weigh: percent_90_1_target_weigh
-          percent_90_2_assign_material_name: percent_90_2_assign_material_name
-          percent_90_2_target_weigh: percent_90_2_target_weigh
-          percent_90_3_assign_material_name: percent_90_3_assign_material_name
-          percent_90_3_target_weigh: percent_90_3_target_weigh
-          speed: speed
-          temperature: temperature
-        goal_default:
-          delay_time: ''
-          hold_m_name: ''
-          order_name: ''
-          percent_10_1_assign_material_name: ''
-          percent_10_1_liquid_material_name: ''
-          percent_10_1_target_weigh: ''
-          percent_10_1_volume: ''
-          percent_10_2_assign_material_name: ''
-          percent_10_2_liquid_material_name: ''
-          percent_10_2_target_weigh: ''
-          percent_10_2_volume: ''
-          percent_10_3_assign_material_name: ''
-          percent_10_3_liquid_material_name: ''
-          percent_10_3_target_weigh: ''
-          percent_10_3_volume: ''
-          percent_90_1_assign_material_name: ''
-          percent_90_1_target_weigh: ''
-          percent_90_2_assign_material_name: ''
-          percent_90_2_target_weigh: ''
-          percent_90_3_assign_material_name: ''
-          percent_90_3_target_weigh: ''
-          speed: ''
-          temperature: ''
-        handles: {}
-        result:
-          return_info: return_info
-        schema:
-          description: ''
-          properties:
-            feedback:
-              properties: {}
-              required: []
-              title: DispenStationVialFeed_Feedback
-              type: object
-            goal:
-              properties:
-                delay_time:
-                  type: string
-                hold_m_name:
-                  type: string
-                order_name:
-                  type: string
-                percent_10_1_assign_material_name:
-                  type: string
-                percent_10_1_liquid_material_name:
-                  type: string
-                percent_10_1_target_weigh:
-                  type: string
-                percent_10_1_volume:
-                  type: string
-                percent_10_2_assign_material_name:
-                  type: string
-                percent_10_2_liquid_material_name:
-                  type: string
-                percent_10_2_target_weigh:
-                  type: string
-                percent_10_2_volume:
-                  type: string
-                percent_10_3_assign_material_name:
-                  type: string
-                percent_10_3_liquid_material_name:
-                  type: string
-                percent_10_3_target_weigh:
-                  type: string
-                percent_10_3_volume:
-                  type: string
-                percent_90_1_assign_material_name:
-                  type: string
-                percent_90_1_target_weigh:
-                  type: string
-                percent_90_2_assign_material_name:
-                  type: string
-                percent_90_2_target_weigh:
-                  type: string
-                percent_90_3_assign_material_name:
-                  type: string
-                percent_90_3_target_weigh:
-                  type: string
-                speed:
-                  type: string
-                temperature:
-                  type: string
-              required:
-              - order_name
-              - percent_90_1_assign_material_name
-              - percent_90_1_target_weigh
-              - percent_90_2_assign_material_name
-              - percent_90_2_target_weigh
-              - percent_90_3_assign_material_name
-              - percent_90_3_target_weigh
-              - percent_10_1_assign_material_name
-              - percent_10_1_target_weigh
-              - percent_10_1_volume
-              - percent_10_1_liquid_material_name
-              - percent_10_2_assign_material_name
-              - percent_10_2_target_weigh
-              - percent_10_2_volume
-              - percent_10_2_liquid_material_name
-              - percent_10_3_assign_material_name
-              - percent_10_3_target_weigh
-              - percent_10_3_volume
-              - percent_10_3_liquid_material_name
-              - speed
-              - temperature
-              - delay_time
-              - hold_m_name
-              title: DispenStationVialFeed_Goal
-              type: object
-            result:
-              properties:
-                return_info:
-                  type: string
-              required:
-              - return_info
-              title: DispenStationVialFeed_Result
-              type: object
-          required:
-          - goal
-          title: DispenStationVialFeed
-          type: object
-        type: DispenStationVialFeed
-      create_diamine_solution_task:
-        feedback: {}
-        goal:
-          delay_time: delay_time
-          hold_m_name: hold_m_name
-          liquid_material_name: liquid_material_name
-          material_name: material_name
-          order_name: order_name
-          speed: speed
-          target_weigh: target_weigh
-          temperature: temperature
-          volume: volume
-        goal_default:
-          delay_time: ''
-          hold_m_name: ''
-          liquid_material_name: ''
-          material_name: ''
-          order_name: ''
-          speed: ''
-          target_weigh: ''
-          temperature: ''
-          volume: ''
-        handles: {}
-        result:
-          return_info: return_info
-        schema:
-          description: ''
-          properties:
-            feedback:
-              properties: {}
-              required: []
-              title: DispenStationSolnPrep_Feedback
-              type: object
-            goal:
-              properties:
-                delay_time:
-                  type: string
-                hold_m_name:
-                  type: string
-                liquid_material_name:
-                  type: string
-                material_name:
-                  type: string
-                order_name:
-                  type: string
-                speed:
-                  type: string
-                target_weigh:
-                  type: string
-                temperature:
-                  type: string
-                volume:
-                  type: string
-              required:
-              - order_name
-              - material_name
-              - target_weigh
-              - volume
-              - liquid_material_name
-              - speed
-              - temperature
-              - delay_time
-              - hold_m_name
-              title: DispenStationSolnPrep_Goal
-              type: object
-            result:
-              properties:
-                return_info:
-                  type: string
-              required:
-              - return_info
-              title: DispenStationSolnPrep_Result
-              type: object
-          required:
-          - goal
-          title: DispenStationSolnPrep
-          type: object
-        type: DispenStationSolnPrep
-    module: unilabos.devices.workstation.bioyond_studio.dispensing_station:BioyondDispensingStation
-    status_types: {}
-    type: python
-  config_info: []
-  description: ''
-  handles: []
-  icon: ''
-  init_param_schema:
-    config:
-      properties:
-        config:
-          type: string
-        deck:
-          type: string
-      required:
-      - config
-      - deck
-      type: object
-    data:
-      properties: {}
-      required: []
-      type: object
-  version: 1.0.0

unilabos/registry/devices/hotel.yaml

@@ -31,6 +31,6 @@ hotel.thermo_orbitor_rs2_hotel:
       type: object
   model:
     mesh: thermo_orbitor_rs2_hotel
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
     type: device
   version: 1.0.0

unilabos/registry/devices/liquid_handler.yaml

@@ -5303,13 +5303,13 @@ liquid_handler.biomek:
             handler_key: tip_rack
             label: tip_rack
           output:
-          - data_key: sources
+          - data_key: liquid
             data_source: handle
             data_type: resource
             handler_key: sources_out
             label: sources
-          - data_key: targets
-            data_source: handle
+          - data_key: liquid
+            data_source: executor
             data_type: resource
             handler_key: targets_out
             label: targets
@@ -7581,43 +7581,6 @@ liquid_handler.prcxi:
           title: iter_tips参数
           type: object
         type: UniLabJsonCommand
-      auto-magnetic_action:
-        feedback: {}
-        goal: {}
-        goal_default:
-          height: null
-          is_wait: null
-          module_no: null
-          time: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                height:
-                  type: integer
-                is_wait:
-                  type: boolean
-                module_no:
-                  type: integer
-                time:
-                  type: integer
-              required:
-              - time
-              - module_no
-              - height
-              - is_wait
-              type: object
-            result: {}
-          required:
-          - goal
-          title: magnetic_action参数
-          type: object
-        type: UniLabJsonCommandAsync
       auto-move_to:
         feedback: {}
         goal: {}
@@ -7746,47 +7709,6 @@ liquid_handler.prcxi:
           title: shaker_action参数
           type: object
         type: UniLabJsonCommandAsync
-      auto-shaking_incubation_action:
-        feedback: {}
-        goal: {}
-        goal_default:
-          amplitude: null
-          is_wait: null
-          module_no: null
-          temperature: null
-          time: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                amplitude:
-                  type: integer
-                is_wait:
-                  type: boolean
-                module_no:
-                  type: integer
-                temperature:
-                  type: integer
-                time:
-                  type: integer
-              required:
-              - time
-              - module_no
-              - amplitude
-              - is_wait
-              - temperature
-              type: object
-            result: {}
-          required:
-          - goal
-          title: shaking_incubation_action参数
-          type: object
-        type: UniLabJsonCommandAsync
       auto-touch_tip:
         feedback: {}
         goal: {}
@@ -9914,7 +9836,7 @@ liquid_handler.prcxi:
             data_type: resource
             handler_key: targets_identifier
             label: 转移目标
-          - data_key: tip_racks
+          - data_key: tip_rack
             data_source: handle
             data_type: resource
             handler_key: tip_rack_identifier

unilabos/registry/devices/robot_arm.yaml

@@ -329,7 +329,7 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
       type: object
   model:
     mesh: arm_slider
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
     type: device
   version: 1.0.0
 robotic_arm.UR:

unilabos/registry/devices/virtual_device.yaml

@@ -3960,6 +3960,14 @@ virtual_separator:
     io_type: source
     label: bottom_phase_out
     side: SOUTH
+  - data_key: top_outlet
+    data_source: executor
+    data_type: fluid
+    description: 上相（轻相）液体输出口
+    handler_key: topphaseout
+    io_type: source
+    label: top_phase_out
+    side: NORTH
   - data_key: mechanical_port
     data_source: handle
     data_type: mechanical

unilabos/registry/registry.py

@@ -238,6 +238,7 @@ class Registry:
                             "class_name": "unilabos_class",
                         },
                         "always_free": True,
+                        "feedback_interval": 300.0,
                     },
                     "test_latency": test_latency_action,
                     "auto-test_resource": test_resource_action,
@@ -829,8 +830,9 @@ class Registry:
             raw_handles = (action_args or {}).get("handles")
             handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
 
-            # placeholder_keys: 优先用装饰器显式配置，否则从参数类型检测
-            pk = (action_args or {}).get("placeholder_keys") or detect_placeholder_keys(params)
+            # placeholder_keys: 先从参数类型自动检测，再用装饰器显式配置覆盖/补充
+            pk = detect_placeholder_keys(params)
+            pk.update((action_args or {}).get("placeholder_keys") or {})
 
             # 从方法返回值类型生成 result schema
             result_schema = None
@@ -852,6 +854,8 @@ class Registry:
             }
             if (action_args or {}).get("always_free") or method_info.get("always_free"):
                 entry["always_free"] = True
+            _fb_iv = (action_args or {}).get("feedback_interval", method_info.get("feedback_interval", 1.0))
+            entry["feedback_interval"] = _fb_iv
             nt = normalize_enum_value((action_args or {}).get("node_type"), NodeType)
             if nt:
                 entry["node_type"] = nt
@@ -975,10 +979,12 @@ class Registry:
                 "schema": schema,
                 "goal_default": goal_default,
                 "handles": handles,
-                "placeholder_keys": action_args.get("placeholder_keys") or detect_placeholder_keys(method_params),
+                "placeholder_keys": {**detect_placeholder_keys(method_params), **(action_args.get("placeholder_keys") or {})},
             }
             if action_args.get("always_free") or method_info.get("always_free"):
                 action_entry["always_free"] = True
+            _fb_iv = action_args.get("feedback_interval", method_info.get("feedback_interval", 1.0))
+            action_entry["feedback_interval"] = _fb_iv
             nt = normalize_enum_value(action_args.get("node_type"), NodeType)
             if nt:
                 action_entry["node_type"] = nt

unilabos/registry/resources/bioyond/README_RESOURCE_ARCHITECTURE.md

@@ -0,0 +1,170 @@
+# UniLabOS 资源注册架构详解
+
+> **目标受众**: 主要开发 `unilabos/registry/devices` 抽象层的开发者  
+> **最后更新**: 2026-01-11  
+> **维护者**: Uni-Lab-OS 开发团队
+
+本文档详细说明 UniLabOS 资源注册系统的架构、资源的完整生命周期，以及如何实现动态物料位置追踪。
+
+---
+
+## 📚 目录
+
+- [核心概念](#核心概念)
+- [三层架构详解](#三层架构详解)
+- [资源注册机制](#资源注册机制)
+- [物料生命周期管理](#物料生命周期管理)
+- [动态物料位置追踪](#动态物料位置追踪)
+- [实战案例](#实战案例)
+- [常见问题排查](#常见问题排查)
+
+---
+
+## 核心概念
+
+### 1. Resources vs Registry
+
+UniLabOS 采用**声明式注册**模式，将资源的**定义**（Python）与**注册信息**（YAML）分离：
+
+```
+┌──────────────────────────────────────────────────────────┐
+│          unilabos/resources (Python 实现)                 │
+│  - 定义资源的物理属性、行为和创建逻辑                       │
+│  - 例如: 瓶子的尺寸、容量、材质                            │
+├──────────────────────────────────────────────────────────┤
+│       unilabos/registry/resources (YAML 注册表)           │
+│  - 声明哪些资源可以被前端使用                              │
+│  - 定义资源的分类、图标、初始化参数                         │
+└──────────────────────────────────────────────────────────┘
+```
+
+**为什么要分离？**
+
+1. **解耦**: Python 代码可以定义无限多的资源类，但只有在 YAML 中注册的才能被前端识别
+2. **灵活性**: 无需修改 Python 代码，只需修改 YAML 就能添加/移除可用资源
+3. **可扩展性**: 第三方开发者可以通过 YAML 注册自己的资源，无需修改核心代码
+
+---
+
+## 三层架构详解
+
+UniLabOS 资源系统采用**三层架构**，实现从前端UI到底层硬件的完整映射：
+
+### 架构图
+
+```
+┌─────────────────────────────────────────────────────┐
+│  第1层: YAML 注册表 (registry/resources)             │
+│  - 告诉系统"哪些资源可用"                             │
+│  - 前端通过此层获取可用资源列表                        │
+│  - 文件: YB_bottle.yaml, YB_bottle_carriers.yaml    │
+├─────────────────────────────────────────────────────┤
+│  第2层: Python 实现 (resources/bioyond)              │
+│  - 定义资源的具体属性和行为                           │
+│  - 创建资源实例的工厂函数                             │
+│  - 文件: YB_bottles.py, YB_bottle_carriers.py       │
+├─────────────────────────────────────────────────────┤
+│  第3层: Hardware/API 集成 (devices/workstation)      │
+│  - 连接 Bioyond 系统 API                            │
+│  - 同步物料位置和状态                                │
+│  - 文件: station.py, bioyond_rpc.py, config.py     │
+└─────────────────────────────────────────────────────┘
+```
+
+### 第1层: YAML 注册表
+
+#### YB_bottle.yaml - 单个瓶子注册
+
+```yaml
+YB_5ml_fenyeping:
+  category:
+  - yb3              # 系统分类
+  - YB_bottle        # 资源类型
+  class:
+    module: unilabos.resources.bioyond.YB_bottles:YB_5ml_fenyeping  # Python 函数路径
+    type: pylabrobot  # 框架类型
+  description: YB_5ml_fenyeping  # 前端显示名称
+  handles: []
+  icon: ''           # 图标路径
+  init_param_schema: {}  # 初始化参数 schema
+  registry_type: resource
+  version: 1.0.0
+```
+
+**作用:**
+- 前端通过读取此文件知道有一个叫 "YB_5ml_fenyeping" 的资源
+- 用户拖拽时，系统会调用 `YB_bottles:YB_5ml_fenyeping()` 创建实例
+
+#### YB_bottle_carriers.yaml - 载架（容器）注册
+
+```yaml
+YB_5ml_fenyepingban:
+  category:
+  - yb3
+  - YB_bottle_carriers
+  class:
+    module: unilabos.resources.bioyond.YB_bottle_carriers:YB_5ml_fenyepingban
+    type: pylabrobot
+  description: YB_5ml_fenyepingban  # 5ml分液瓶板
+```
+
+**作用:**  
+- 载架是容器，里面可以放多个瓶子
+- 例如: `YB_5ml_fenyepingban` 是一个 4x2 布局的板，可以放 8 个 5ml 瓶子
+
+### 第2层: Python 实现
+
+#### YB_bottles.py - 瓶子工厂函数
+
+```python
+def YB_5ml_fenyeping(
+    name: str,
+    diameter: float = 20.0,    # 直径 (mm)
+    height: float = 50.0,      # 高度 (mm)
+    max_volume: float = 5000.0,  # 最大容量 (μL)
+    barcode: str = None,
+) -> Bottle:
+    \"\"\"创建5ml分液瓶\"\"\"
+    return Bottle(
+        name=name,
+        diameter=diameter,
+        height=height,
+        max_volume=max_volume,
+        barcode=barcode,
+        model="YB_5ml_fenyeping",  # ⭐ 与 YAML 中的名称对应
+    )
+```
+
+**关键点:**
+- 函数名 `YB_5ml_fenyeping` 必须与 YAML 中的 `module` 路径末尾一致
+- 返回一个 `Bottle` 对象（PyLabRobot 资源类型）
+- `model` 字段用于在 Bioyond 系统中识别资源类型
+
+**详细文档请参考完整版 README**
+
+---
+
+## 相关文件索引
+
+### 核心文件
+
+| 文件 | 功能 | 路径 |
+|------|------|------|
+| `YB_bottle.yaml` | 瓶子注册表 | `unilabos/registry/resources/bioyond/` |
+| `YB_bottle_carriers.yaml` | 载架注册表 | `unilabos/registry/resources/bioyond/` |
+| `deck.yaml` | Deck注册表 | `unilabos/registry/resources/bioyond/` |
+| `YB_bottles.py` | 瓶子实现 | `unilabos/resources/bioyond/` |
+| `YB_bottle_carriers.py` | 载架实现 | `unilabos/resources/bioyond/` |
+| `YB_warehouses.py` | 仓库实现 | `unilabos/resources/bioyond/` |
+| `decks.py` | Deck布局 | `unilabos/resources/bioyond/` |
+| `station.py` | 物料同步 | `unilabos/devices/workstation/bioyond_studio/` |
+| `config.py` | UUID映射 | `unilabos/devices/workstation/bioyond_studio/` |
+
+### 仓库相关文档
+
+- [README_WAREHOUSE.md](../../resources/bioyond/README_WAREHOUSE.md) - 仓库系统开发指南
+
+---
+
+**维护者:** Uni-Lab-OS 开发团队  
+**最后更新:** 2026-01-11

unilabos/registry/resources/bioyond/bottles.yaml

@@ -20,6 +20,17 @@ BIOYOND_PolymerStation_Liquid_Vial:
   icon: ''
   init_param_schema: {}
   version: 1.0.0
+BIOYOND_PolymerStation_Measurement_Vial:
+  category:
+  - bottles
+  class:
+    module: unilabos.resources.bioyond.bottles:BIOYOND_PolymerStation_Measurement_Vial
+    type: pylabrobot
+  description: 聚合站-测量小瓶（测密度）
+  handles: []
+  icon: ''
+  init_param_schema: {}
+  version: 1.0.0
 BIOYOND_PolymerStation_Reactor:
   category:
   - bottles

unilabos/registry/resources/common/resource_container.yaml

@@ -17,7 +17,7 @@ hplc_plate:
     - 0
     - 0
     - 3.1416
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
     type: resource
   version: 1.0.0
 plate_96:
@@ -39,7 +39,7 @@ plate_96:
     - 0
     - 0
     - 0
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
     type: resource
   version: 1.0.0
 plate_96_high:
@@ -61,7 +61,7 @@ plate_96_high:
     - 1.5708
     - 0
     - 1.5708
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
     type: resource
   version: 1.0.0
 tiprack_96_high:
@@ -76,7 +76,7 @@ tiprack_96_high:
   init_param_schema: {}
   model:
     children_mesh: generic_labware_tube_10_75/meshes/0_base.stl
-    children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
+    children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
     children_mesh_tf:
     - 0.0018
     - 0.0018
@@ -92,7 +92,7 @@ tiprack_96_high:
     - 1.5708
     - 0
     - 1.5708
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
     type: resource
   version: 1.0.0
 tiprack_box:
@@ -107,7 +107,7 @@ tiprack_box:
   init_param_schema: {}
   model:
     children_mesh: tip/meshes/tip.stl
-    children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
+    children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
     children_mesh_tf:
     - 0.0045
     - 0.0045
@@ -123,6 +123,6 @@ tiprack_box:
     - 0
     - 0
     - 0
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
     type: resource
   version: 1.0.0

unilabos/registry/resources/laiyu/container.yaml

@@ -11,7 +11,7 @@ bottle_container:
   init_param_schema: {}
   model:
     children_mesh: bottle/meshes/bottle.stl
-    children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
+    children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
     children_mesh_tf:
     - 0.04
     - 0.04
@@ -27,7 +27,7 @@ bottle_container:
     - 0
     - 0
     - 0
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
     type: resource
   version: 1.0.0
 tube_container:
@@ -43,7 +43,7 @@ tube_container:
   init_param_schema: {}
   model:
     children_mesh: tube/meshes/tube.stl
-    children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
+    children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
     children_mesh_tf:
     - 0.017
     - 0.017
@@ -59,6 +59,6 @@ tube_container:
     - 0
     - 0
     - 0
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
     type: resource
   version: 1.0.0

unilabos/registry/resources/laiyu/deck.yaml

@@ -10,6 +10,6 @@ TransformXYZDeck:
   init_param_schema: {}
   model:
     mesh: liquid_transform_xyz
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
     type: device
   version: 1.0.0

unilabos/registry/resources/opentrons/deck.yaml

@@ -10,7 +10,7 @@ OTDeck:
   init_param_schema: {}
   model:
     mesh: opentrons_liquid_handler
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
     type: device
   version: 1.0.0
 hplc_station:
@@ -25,6 +25,6 @@ hplc_station:
   init_param_schema: {}
   model:
     mesh: hplc_station
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
     type: device
   version: 1.0.0