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: 0.10.19
+  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

.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

@@ -40,13 +40,13 @@ python ./scripts/gen_auth.py --config <config.py>
 
 决定 API 请求发往哪个服务器。从启动命令的 `--addr` 参数获取：
 
-| `--addr` 值 | BASE URL |
-|-------------|----------|
-| `test` | `https://uni-lab.test.bohrium.com` |
-| `uat` | `https://uni-lab.uat.bohrium.com` |
-| `local` | `http://127.0.0.1:48197` |
-| 不传（默认） | `https://uni-lab.bohrium.com` |
-| 其他自定义 URL | 直接使用该 URL |
+| `--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）
 
@@ -54,11 +54,11 @@ python ./scripts/gen_auth.py --config <config.py>
 
 **推断 working_dir**（即 `unilabos_data` 所在目录）：
 
-| 条件 | working_dir 取值 |
-|------|------------------|
+| 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/` |
+| 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**：
 
@@ -84,24 +84,6 @@ python ./scripts/gen_auth.py --config <config.py>
 python ./scripts/extract_device_actions.py --registry <找到的文件路径>
 ```
 
-#### 完整示例
-
-用户提供：
-
-```
---ak a1fd9d4e-xxxx-xxxx-xxxx-d9a69c09f0fd
---sk 136ff5c6-xxxx-xxxx-xxxx-a03e301f827b
---addr test
---port 8003
---disable_browser
-```
-
-从中提取：
-- ✅ ak/sk → 运行 `gen_auth.py` 得到 `AUTH="Authorization: Lab YTFmZDlk..."`
-- ✅ addr=test → `BASE=https://uni-lab.test.bohrium.com`
-- ✅ 搜索 `unilabos_data/req_device_registry_upload.json` → 找到并确认时间
-- ✅ 用户指明目标设备 → 如 `liquid_handler.prcxi`
-
 **四项全部就绪后才进入 Step 1。**
 
 ### Step 1 — 列出可用设备
@@ -129,6 +111,7 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
 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`）
@@ -136,13 +119,14 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
 
 ### Step 3 — 写 action-index.md
 
-按模板为每个 action 写条目：
+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`
@@ -150,6 +134,8 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
 ```
 
 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）
@@ -158,12 +144,14 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
   - `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（10 个 endpoint），修改：
+直接复用 `unilab-device-api` 的 API 模板，修改：
+
 - 设备名称
 - Action 数量
 - 目录列表
@@ -171,43 +159,96 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
 - **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
 
-## Session State
-- lab_uuid（通过 API #1 自动匹配，不要问用户）, device_name
+## 请求约定
 
-## API Endpoints (10 个)
-# 注意：
-# - #1 获取 lab 列表 + 自动匹配 lab_uuid（遍历 is_admin 的 lab，
-#   调用 /lab/info/{uuid} 比对 access_key == ak）
-# - #2 创建工作流用 POST /lab/workflow
-# - #10 获取资源树路径含 lab_uuid: /lab/material/download/{lab_uuid}
+- 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 10 个 API endpoint
-- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则（ResourceSlot / DeviceSlot / NodeSlot / ClassSlot + create_resource 特例）和本设备的 Slot 字段表
+
+- [ ] `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
@@ -249,71 +290,202 @@ API 模板结构：
 ```
 
 > **注意**：`schema` 已由脚本从原始 `schema.properties.goal` 提升为顶层，直接包含参数定义。
-> `schema.properties` 中的字段即为 API 请求 `param.goal` 中的字段。
+> `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 4 种值，对应不同的填写方式：
+`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 |
+| 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
-{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-2cb8-419d-8db5-d3ba056fb3c2"}
+[
+  {
+    "sample_uuid": "",
+    "well_name": "bottle_A1",
+    "liquids": [{ "name": "LiPF6", "volume": 0.6 }]
+  }
+]
 ```
 
-- 单个（schema type=object）：`{"id": "/path/name", "name": "name", "uuid": "xxx"}`
-- 数组（schema type=array）：`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
-- `id` 本身是从 parent 计算的路径格式
-- 根据 action 语义选择正确的物料（如 `sources` = 液体来源，`targets` = 目标位置）
+- `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
 
-> **特例**：`create_resource` 的 `res_id` 字段，目标物料可能**尚不存在**，此时直接填写期望的路径（如 `"/workstation/container1"`），不需要 uuid。
-
-### DeviceSlot（`unilabos_devices`）
-
-填写**设备路径字符串**。从资源树中筛选 type=device 的节点，从 parent 计算路径：
-
-```
-"/host_node"
-"/bioyond_cell/reaction_station"
-```
-
-- 只填路径字符串，不需要 `{id, uuid}` 对象
-- 根据 action 语义选择正确的设备（如 `target_device_id` = 目标设备）
-
-### NodeSlot（`unilabos_nodes`）
-
-范围 = 设备 + 物料。即资源树中**所有节点**都可以选，填写**路径字符串**：
-
-```
-"/PRCXI/PRCXI_Deck"
-```
-
-- 使用场景：当参数既可能指向物料也可能指向设备时（如 `PumpTransferProtocol` 的 `from_vessel`/`to_vessel`，`create_resource` 的 `parent`）
-
-### ClassSlot（`unilabos_class`）
-
-填写注册表中已上报的**资源类 name**。从本地 `req_resource_registry_upload.json` 中查找：
-
-```
-"container"
-```
-
-### 通过 API #10 获取资源树
+### 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）。资源树返回所有节点，每个节点包含 `id`（路径格式）、`name`、`uuid`、`type`、`parent` 等字段。填写 Slot 时需根据 placeholder 类型筛选正确的节点。
+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
 

.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"
+  }
+}

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/app/__init__.py

@@ -1,172 +0,0 @@
-"""normalize_model_for_upload 单元测试"""
-
-import unittest
-import sys
-import os
-
-# 添加项目根目录到 sys.path
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
-
-from unilabos.app.register import normalize_model_for_upload
-
-
-class TestNormalizeModelForUpload(unittest.TestCase):
-    """测试 Registry YAML model 字段标准化"""
-
-    def test_empty_input(self):
-        """空 dict 直接返回"""
-        self.assertEqual(normalize_model_for_upload({}), {})
-        self.assertIsNone(normalize_model_for_upload(None))
-
-    def test_format_infer_xacro(self):
-        """自动从 path 后缀推断 format=xacro"""
-        model = {
-            "path": "https://oss.example.com/devices/arm/macro_device.xacro",
-            "mesh": "arm_slider",
-            "type": "device",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "xacro")
-
-    def test_format_infer_urdf(self):
-        """自动推断 format=urdf"""
-        model = {"path": "https://example.com/robot.urdf", "type": "device"}
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "urdf")
-
-    def test_format_infer_stl(self):
-        """自动推断 format=stl"""
-        model = {"path": "https://example.com/part.stl"}
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "stl")
-
-    def test_format_infer_gltf(self):
-        """自动推断 format=gltf（.gltf 和 .glb）"""
-        for ext in [".gltf", ".glb"]:
-            model = {"path": f"https://example.com/model{ext}"}
-            result = normalize_model_for_upload(model)
-            self.assertEqual(result["format"], "gltf", f"failed for {ext}")
-
-    def test_format_not_overwritten(self):
-        """已有 format 字段时不覆盖"""
-        model = {
-            "path": "https://example.com/model.xacro",
-            "format": "custom",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "custom")
-
-    def test_format_no_path(self):
-        """没有 path 时不推断 format"""
-        model = {"mesh": "arm_slider", "type": "device"}
-        result = normalize_model_for_upload(model)
-        self.assertNotIn("format", result)
-
-    def test_children_mesh_string_to_struct(self):
-        """将 children_mesh 字符串（旧格式）转为结构化对象"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "type": "resource",
-            "children_mesh": "tip/meshes/tip.stl",
-            "children_mesh_tf": [0.0045, 0.0045, 0, 0, 0, 1.57],
-            "children_mesh_path": "https://oss.example.com/tip.stl",
-        }
-        result = normalize_model_for_upload(model)
-
-        # children_mesh 应变为 dict
-        cm = result["children_mesh"]
-        self.assertIsInstance(cm, dict)
-        self.assertEqual(cm["path"], "https://oss.example.com/tip.stl")  # 优先使用 OSS URL
-        self.assertEqual(cm["format"], "stl")
-        self.assertTrue(cm["default_visible"])
-        self.assertEqual(cm["local_offset"], [0.0045, 0.0045, 0])
-        self.assertEqual(cm["local_rotation"], [0, 0, 1.57])
-
-        # 旧字段应被移除
-        self.assertNotIn("children_mesh_tf", result)
-        self.assertNotIn("children_mesh_path", result)
-
-    def test_children_mesh_no_oss_fallback(self):
-        """children_mesh 无 OSS URL 时 fallback 到本地路径"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "plate_96/meshes/plate_96.stl",
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertEqual(cm["path"], "plate_96/meshes/plate_96.stl")
-        self.assertEqual(cm["format"], "stl")
-
-    def test_children_mesh_gltf_format(self):
-        """children_mesh .glb 文件推断 format=gltf"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "meshes/child.glb",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["children_mesh"]["format"], "gltf")
-
-    def test_children_mesh_partial_tf(self):
-        """children_mesh_tf 只有 3 个值时只有 offset 无 rotation"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "tip.stl",
-            "children_mesh_tf": [0.01, 0.02, 0.03],
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertEqual(cm["local_offset"], [0.01, 0.02, 0.03])
-        self.assertNotIn("local_rotation", cm)
-
-    def test_children_mesh_no_tf(self):
-        """children_mesh 无 tf 时不加 offset/rotation"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "tip.stl",
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertNotIn("local_offset", cm)
-        self.assertNotIn("local_rotation", cm)
-
-    def test_children_mesh_already_dict(self):
-        """children_mesh 已经是 dict 时不重新映射"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": {
-                "path": "https://example.com/tip.stl",
-                "format": "stl",
-                "default_visible": False,
-            },
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertIsInstance(cm, dict)
-        self.assertFalse(cm["default_visible"])
-
-    def test_original_not_mutated(self):
-        """原始 dict 不被修改"""
-        original = {
-            "path": "https://example.com/model.xacro",
-            "mesh": "arm",
-        }
-        original_copy = {**original}
-        normalize_model_for_upload(original)
-        self.assertEqual(original, original_copy)
-
-    def test_preserves_existing_fields(self):
-        """所有原始字段都被保留"""
-        model = {
-            "path": "https://example.com/model.xacro",
-            "mesh": "arm_slider",
-            "type": "device",
-            "mesh_tf": [0, 0, 0, 0, 0, 0],
-            "custom_field": "should_survive",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["custom_field"], "should_survive")
-        self.assertEqual(result["mesh_tf"], [0, 0, 0, 0, 0, 0])
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/app/test_model_upload.py

@@ -1,496 +0,0 @@
-"""model_upload.py 单元测试（upload_device_model / download_model_from_oss / XOR 加解密）"""
-
-import unittest
-import tempfile
-import os
-import sys
-from pathlib import Path
-from unittest.mock import patch, MagicMock
-
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
-
-from unilabos.app.model_upload import (
-    upload_device_model,
-    download_model_from_oss,
-    _MODEL_EXTENSIONS,
-    _MESH_ENCRYPT_EXTENSIONS,
-    _xor_transform,
-)
-
-
-class TestUploadDeviceModel(unittest.TestCase):
-    """测试本地模型文件上传到 OSS"""
-
-    def setUp(self):
-        self.tmp_dir = tempfile.mkdtemp()
-        self.mock_client = MagicMock()
-
-    def _create_model_files(self, subdir: str, filenames: list[str]):
-        """在临时目录中创建设备模型文件"""
-        model_dir = Path(self.tmp_dir) / "devices" / subdir
-        model_dir.mkdir(parents=True, exist_ok=True)
-        for name in filenames:
-            p = model_dir / name
-            p.parent.mkdir(parents=True, exist_ok=True)
-            p.write_text("dummy content")
-        return model_dir
-
-    @patch("unilabos.app.model_upload._MESH_BASE_DIR")
-    def test_upload_success(self, mock_base):
-        """正常上传流程"""
-        mock_base.__truediv__ = lambda self, x: Path(self.tmp_dir) / x
-        # 直接 patch _MESH_BASE_DIR 为 Path(tmp_dir)
-        with patch("unilabos.app.model_upload._MESH_BASE_DIR", Path(self.tmp_dir)):
-            self._create_model_files("arm_slider", ["macro_device.xacro", "meshes/link1.stl"])
-
-            self.mock_client.get_model_upload_urls.return_value = {
-                "files": [
-                    {"name": "macro_device.xacro", "upload_url": "https://oss.example.com/put1"},
-                    {"name": "meshes/link1.stl", "upload_url": "https://oss.example.com/put2"},
-                ]
-            }
-            self.mock_client.publish_model.return_value = {
-                "path": "https://oss.example.com/arm_slider/macro_device.xacro"
-            }
-
-            with patch("unilabos.app.model_upload._put_upload") as mock_put:
-                result = upload_device_model(
-                    http_client=self.mock_client,
-                    template_uuid="test-uuid",
-                    mesh_name="arm_slider",
-                    model_type="device",
-                    version="1.0.0",
-                )
-
-            self.assertEqual(result, "https://oss.example.com/arm_slider/macro_device.xacro")
-            self.mock_client.get_model_upload_urls.assert_called_once()
-            self.mock_client.publish_model.assert_called_once()
-
-    @patch("unilabos.app.model_upload._MESH_BASE_DIR")
-    def test_upload_dir_not_exists(self, mock_base):
-        """本地目录不存在时返回 None"""
-        with patch("unilabos.app.model_upload._MESH_BASE_DIR", Path(self.tmp_dir)):
-            result = upload_device_model(
-                http_client=self.mock_client,
-                template_uuid="test-uuid",
-                mesh_name="nonexistent",
-                model_type="device",
-            )
-        self.assertIsNone(result)
-
-    @patch("unilabos.app.model_upload._MESH_BASE_DIR")
-    def test_upload_no_valid_files(self, mock_base):
-        """目录中无有效模型文件时返回 None"""
-        with patch("unilabos.app.model_upload._MESH_BASE_DIR", Path(self.tmp_dir)):
-            model_dir = Path(self.tmp_dir) / "devices" / "empty_model"
-            model_dir.mkdir(parents=True, exist_ok=True)
-            (model_dir / "readme.txt").write_text("not a model")
-
-            result = upload_device_model(
-                http_client=self.mock_client,
-                template_uuid="test-uuid",
-                mesh_name="empty_model",
-                model_type="device",
-            )
-        self.assertIsNone(result)
-
-    @patch("unilabos.app.model_upload._MESH_BASE_DIR")
-    def test_upload_urls_failure(self, mock_base):
-        """获取上传 URL 失败时返回 None"""
-        with patch("unilabos.app.model_upload._MESH_BASE_DIR", Path(self.tmp_dir)):
-            self._create_model_files("arm", ["device.xacro"])
-            self.mock_client.get_model_upload_urls.return_value = None
-
-            result = upload_device_model(
-                http_client=self.mock_client,
-                template_uuid="test-uuid",
-                mesh_name="arm",
-                model_type="device",
-            )
-        self.assertIsNone(result)
-
-
-class TestDownloadModelFromOss(unittest.TestCase):
-    """测试从 OSS 下载模型文件到本地"""
-
-    def setUp(self):
-        self.tmp_dir = tempfile.mkdtemp()
-
-    def test_skip_no_mesh_name(self):
-        """缺少 mesh 名称时跳过"""
-        result = download_model_from_oss({"type": "device", "path": "https://x.com/a.xacro"})
-        self.assertFalse(result)
-
-    def test_skip_no_oss_path(self):
-        """缺少 OSS path 时跳过"""
-        result = download_model_from_oss({"mesh": "arm", "type": "device"})
-        self.assertFalse(result)
-
-    def test_skip_local_path(self):
-        """非 https:// 路径时跳过"""
-        result = download_model_from_oss({
-            "mesh": "arm",
-            "type": "device",
-            "path": "file:///local/model.xacro",
-        })
-        self.assertFalse(result)
-
-    def test_already_exists(self):
-        """本地已有文件时跳过下载"""
-        device_dir = Path(self.tmp_dir) / "devices" / "arm"
-        device_dir.mkdir(parents=True, exist_ok=True)
-        (device_dir / "model.xacro").write_text("existing")
-
-        result = download_model_from_oss(
-            {"mesh": "arm", "type": "device", "path": "https://oss.example.com/model.xacro"},
-            mesh_base_dir=Path(self.tmp_dir),
-        )
-        self.assertTrue(result)
-
-    @patch("unilabos.app.model_upload._download_file")
-    def test_download_device(self, mock_download):
-        """下载 device 模型到 devices/ 目录"""
-        result = download_model_from_oss(
-            {"mesh": "new_arm", "type": "device", "path": "https://oss.example.com/new_arm/macro_device.xacro"},
-            mesh_base_dir=Path(self.tmp_dir),
-        )
-        self.assertTrue(result)
-        mock_download.assert_called_once()
-        call_args = mock_download.call_args
-        self.assertIn("macro_device.xacro", str(call_args[0][1]))
-
-    @patch("unilabos.app.model_upload._download_file")
-    def test_download_resource(self, mock_download):
-        """下载 resource 模型到 resources/ 目录"""
-        result = download_model_from_oss(
-            {
-                "mesh": "plate_96/meshes/plate_96.stl",
-                "type": "resource",
-                "path": "https://oss.example.com/plate_96/modal.xacro",
-            },
-            mesh_base_dir=Path(self.tmp_dir),
-        )
-        self.assertTrue(result)
-        target_dir = Path(self.tmp_dir) / "resources" / "plate_96"
-        self.assertTrue(target_dir.exists())
-
-    @patch("unilabos.app.model_upload._download_file")
-    def test_download_with_children_mesh(self, mock_download):
-        """下载包含 children_mesh 的模型"""
-        result = download_model_from_oss(
-            {
-                "mesh": "tip_rack",
-                "type": "device",
-                "path": "https://oss.example.com/tip_rack/model.xacro",
-                "children_mesh": {
-                    "path": "https://oss.example.com/tip_rack/meshes/tip.stl",
-                    "format": "stl",
-                },
-            },
-            mesh_base_dir=Path(self.tmp_dir),
-        )
-        self.assertTrue(result)
-        # 应调用两次：入口文件 + children_mesh
-        self.assertEqual(mock_download.call_count, 2)
-
-    @patch("unilabos.app.model_upload._download_file", side_effect=Exception("network error"))
-    def test_download_failure_graceful(self, mock_download):
-        """下载失败时返回 False（不抛异常）"""
-        result = download_model_from_oss(
-            {"mesh": "broken", "type": "device", "path": "https://oss.example.com/broken.xacro"},
-            mesh_base_dir=Path(self.tmp_dir),
-        )
-        self.assertFalse(result)
-
-
-class TestModelExtensions(unittest.TestCase):
-    """测试支持的模型文件后缀集合"""
-
-    def test_standard_extensions(self):
-        """确认标准 3D 格式在支持列表中"""
-        expected = {".stl", ".gltf", ".glb", ".xacro", ".urdf", ".obj", ".dae"}
-        for ext in expected:
-            self.assertIn(ext, _MODEL_EXTENSIONS, f"{ext} should be supported")
-
-    def test_non_model_excluded(self):
-        """非模型文件后缀不在列表中"""
-        excluded = {".txt", ".json", ".py", ".png", ".jpg"}
-        for ext in excluded:
-            self.assertNotIn(ext, _MODEL_EXTENSIONS, f"{ext} should not be supported")
-
-
-class TestXorTransform(unittest.TestCase):
-    """XOR 加密/解密核心函数测试。"""
-
-    def test_roundtrip_symmetry(self):
-        """XOR 加密后再解密恢复原始数据（对称性）。"""
-        original = b"Hello, this is a test model file content."
-        encrypted = _xor_transform(original)
-        self.assertNotEqual(encrypted, original)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, original)
-
-    def test_empty_data(self):
-        """空数据加密后仍为空。"""
-        result = _xor_transform(b"")
-        self.assertEqual(result, b"")
-
-    def test_single_byte(self):
-        """单字节数据正确加解密。"""
-        original = b"\xff"
-        encrypted = _xor_transform(original)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, original)
-
-    def test_data_longer_than_key(self):
-        """超过密钥长度（32 字节）的数据正确循环 XOR。"""
-        original = bytes(range(256)) * 2  # 512 字节
-        encrypted = _xor_transform(original)
-        self.assertNotEqual(encrypted, original)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, original)
-
-    def test_data_exactly_key_length(self):
-        """恰好 32 字节（密钥长度）的数据正确处理。"""
-        original = bytes(range(32))
-        encrypted = _xor_transform(original)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, original)
-
-    def test_all_zeros_produces_key(self):
-        """全零数据 XOR 后结果应为密钥本身。"""
-        zeros = b"\x00" * 32
-        result = _xor_transform(zeros)
-        key = os.environ.get(
-            "UNILAB_MESH_XOR_KEY", "unilab3d-model-protection-key-v1"
-        ).encode()
-        self.assertEqual(result, key)
-
-    def test_custom_key(self):
-        """自定义密钥正确加解密。"""
-        custom_key = b"custom-key-12345"
-        original = b"test data for custom key"
-        encrypted = _xor_transform(original, key=custom_key)
-        decrypted = _xor_transform(encrypted, key=custom_key)
-        self.assertEqual(decrypted, original)
-
-    def test_different_keys_produce_different_results(self):
-        """不同密钥产生不同加密结果。"""
-        data = b"same data"
-        key1 = b"key-one-is-here!"
-        key2 = b"key-two-is-here!"
-        self.assertNotEqual(_xor_transform(data, key1), _xor_transform(data, key2))
-
-    def test_binary_stl_header(self):
-        """二进制内容（模拟 STL 文件头）正确加解密。"""
-        stl_header = b"\x00" * 80 + b"\x03\x00\x00\x00"
-        encrypted = _xor_transform(stl_header)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, stl_header)
-
-    def test_large_data_roundtrip(self):
-        """大数据（1MB）加解密正确性。"""
-        original = os.urandom(1024 * 1024)
-        encrypted = _xor_transform(original)
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, original)
-
-    def test_consistency_with_frontend_key(self):
-        """验证 Python 端与前端使用相同的默认密钥。"""
-        frontend_key = b"unilab3d-model-protection-key-v1"
-        data = b"cross-platform test data"
-        encrypted = _xor_transform(data, key=frontend_key)
-        # 用默认密钥解密（应一致）
-        decrypted = _xor_transform(encrypted)
-        self.assertEqual(decrypted, data)
-
-
-class TestEncryptExtensions(unittest.TestCase):
-    """加密文件扩展名配置测试。"""
-
-    def test_all_mesh_formats_in_encrypt_set(self):
-        """所有 mesh 格式都在加密扩展名集合中。"""
-        expected = {".stl", ".dae", ".obj", ".fbx", ".gltf", ".glb"}
-        self.assertEqual(_MESH_ENCRYPT_EXTENSIONS, expected)
-
-    def test_xml_formats_not_encrypted(self):
-        """XACRO/URDF/YAML 文件不加密。"""
-        for ext in {".xacro", ".urdf", ".yaml", ".yml"}:
-            self.assertNotIn(ext, _MESH_ENCRYPT_EXTENSIONS)
-
-    def test_encrypt_is_subset_of_model_extensions(self):
-        """加密扩展名是模型扩展名的子集。"""
-        self.assertTrue(_MESH_ENCRYPT_EXTENSIONS.issubset(_MODEL_EXTENSIONS))
-
-
-class TestPutUploadEncryption(unittest.TestCase):
-    """_put_upload 中的条件加密测试。"""
-
-    @patch("unilabos.app.model_upload.requests.put")
-    def test_stl_file_encrypted_before_upload(self, mock_put):
-        """STL 文件上传前自动 XOR 加密。"""
-        from unilabos.app.model_upload import _put_upload
-
-        original_data = b"solid test\nfacet normal 0 0 1\n"
-        with tempfile.NamedTemporaryFile(suffix=".stl", delete=False) as f:
-            f.write(original_data)
-            f.flush()
-            tmp_path = Path(f.name)
-
-        try:
-            mock_put.return_value = MagicMock(status_code=200)
-            mock_put.return_value.raise_for_status = MagicMock()
-            _put_upload(tmp_path, "https://oss.example.com/upload")
-
-            uploaded_data = mock_put.call_args.kwargs.get("data")
-            self.assertIsNotNone(uploaded_data)
-            self.assertNotEqual(uploaded_data, original_data)
-            # 解密后应恢复原始数据
-            self.assertEqual(_xor_transform(uploaded_data), original_data)
-        finally:
-            tmp_path.unlink(missing_ok=True)
-
-    @patch("unilabos.app.model_upload.requests.put")
-    def test_xacro_file_not_encrypted(self, mock_put):
-        """XACRO 文件上传时不加密。"""
-        from unilabos.app.model_upload import _put_upload
-
-        original_data = b'<?xml version="1.0"?><robot></robot>'
-        with tempfile.NamedTemporaryFile(suffix=".xacro", delete=False) as f:
-            f.write(original_data)
-            f.flush()
-            tmp_path = Path(f.name)
-
-        try:
-            mock_put.return_value = MagicMock(status_code=200)
-            mock_put.return_value.raise_for_status = MagicMock()
-            _put_upload(tmp_path, "https://oss.example.com/upload")
-
-            uploaded_data = mock_put.call_args.kwargs.get("data")
-            self.assertEqual(uploaded_data, original_data)
-        finally:
-            tmp_path.unlink(missing_ok=True)
-
-    @patch("unilabos.app.model_upload.requests.put")
-    def test_all_mesh_formats_encrypted(self, mock_put):
-        """所有 mesh 格式上传前都加密。"""
-        from unilabos.app.model_upload import _put_upload
-
-        original_data = b"test mesh binary data content"
-        for ext in [".stl", ".dae", ".obj", ".fbx", ".gltf", ".glb"]:
-            with tempfile.NamedTemporaryFile(suffix=ext, delete=False) as f:
-                f.write(original_data)
-                f.flush()
-                tmp_path = Path(f.name)
-            try:
-                mock_put.reset_mock()
-                mock_put.return_value = MagicMock(status_code=200)
-                mock_put.return_value.raise_for_status = MagicMock()
-                _put_upload(tmp_path, "https://oss.example.com/upload")
-
-                uploaded_data = mock_put.call_args.kwargs.get("data")
-                self.assertNotEqual(uploaded_data, original_data, f"{ext} 文件应被加密")
-            finally:
-                tmp_path.unlink(missing_ok=True)
-
-    @patch("unilabos.app.model_upload.requests.put")
-    def test_uppercase_extension_encrypted(self, mock_put):
-        """大写扩展名 .STL 也被加密（大小写不敏感）。"""
-        from unilabos.app.model_upload import _put_upload
-
-        original_data = b"uppercase ext test"
-        with tempfile.NamedTemporaryFile(suffix=".STL", delete=False) as f:
-            f.write(original_data)
-            f.flush()
-            tmp_path = Path(f.name)
-        try:
-            mock_put.return_value = MagicMock(status_code=200)
-            mock_put.return_value.raise_for_status = MagicMock()
-            _put_upload(tmp_path, "https://oss.example.com/upload")
-
-            uploaded_data = mock_put.call_args.kwargs.get("data")
-            self.assertNotEqual(uploaded_data, original_data)
-        finally:
-            tmp_path.unlink(missing_ok=True)
-
-
-class TestDownloadFileDecryption(unittest.TestCase):
-    """_download_file 中的条件解密测试。"""
-
-    @patch("unilabos.app.model_upload.requests.get")
-    def test_mesh_file_decrypted_on_download(self, mock_get):
-        """下载的 mesh 文件自动 XOR 解密后存本地。"""
-        from unilabos.app.model_upload import _download_file
-
-        original_data = b"original stl content here"
-        encrypted_data = _xor_transform(original_data)
-
-        mock_response = MagicMock()
-        mock_response.content = encrypted_data
-        mock_response.raise_for_status = MagicMock()
-        mock_get.return_value = mock_response
-
-        with tempfile.TemporaryDirectory() as tmpdir:
-            local_path = Path(tmpdir) / "model.stl"
-            _download_file("https://oss.example.com/model.stl", local_path)
-            self.assertEqual(local_path.read_bytes(), original_data)
-
-    @patch("unilabos.app.model_upload.requests.get")
-    def test_xacro_file_not_decrypted(self, mock_get):
-        """下载的 XACRO 文件不做解密处理。"""
-        from unilabos.app.model_upload import _download_file
-
-        xml_data = b'<?xml version="1.0"?><robot></robot>'
-
-        mock_response = MagicMock()
-        mock_response.content = xml_data
-        mock_response.raise_for_status = MagicMock()
-        mock_get.return_value = mock_response
-
-        with tempfile.TemporaryDirectory() as tmpdir:
-            local_path = Path(tmpdir) / "macro.xacro"
-            _download_file("https://oss.example.com/macro.xacro", local_path)
-            self.assertEqual(local_path.read_bytes(), xml_data)
-
-    @patch("unilabos.app.model_upload.requests.get")
-    def test_upload_download_roundtrip(self, mock_get):
-        """上传加密 → 下载解密的完整 round-trip。"""
-        from unilabos.app.model_upload import _download_file
-
-        original_data = b"binary stl mesh \x00\xff\x80 special bytes"
-        encrypted_data = _xor_transform(original_data)
-
-        mock_response = MagicMock()
-        mock_response.content = encrypted_data
-        mock_response.raise_for_status = MagicMock()
-        mock_get.return_value = mock_response
-
-        with tempfile.TemporaryDirectory() as tmpdir:
-            local_path = Path(tmpdir) / "mesh.stl"
-            _download_file("https://oss.example.com/mesh.stl", local_path)
-            self.assertEqual(local_path.read_bytes(), original_data)
-
-    @patch("unilabos.app.model_upload.requests.get")
-    def test_all_mesh_formats_decrypted(self, mock_get):
-        """所有 mesh 格式下载后都解密。"""
-        from unilabos.app.model_upload import _download_file
-
-        original_data = b"mesh content for roundtrip"
-        encrypted_data = _xor_transform(original_data)
-
-        for ext in [".stl", ".dae", ".obj", ".fbx", ".gltf", ".glb"]:
-            mock_response = MagicMock()
-            mock_response.content = encrypted_data
-            mock_response.raise_for_status = MagicMock()
-            mock_get.return_value = mock_response
-
-            with tempfile.TemporaryDirectory() as tmpdir:
-                local_path = Path(tmpdir) / f"model{ext}"
-                _download_file(f"https://oss.example.com/model{ext}", local_path)
-                self.assertEqual(
-                    local_path.read_bytes(), original_data, f"{ext} 文件应被解密"
-                )
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/app/test_normalize_model.py

@@ -1,170 +0,0 @@
-"""normalize_model_for_upload 单元测试"""
-
-import unittest
-import sys
-import os
-
-# 添加项目根目录到 sys.path
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
-
-from unilabos.app.register import normalize_model_for_upload
-
-
-class TestNormalizeModelForUpload(unittest.TestCase):
-    """测试 Registry YAML model 字段标准化"""
-
-    def test_empty_input(self):
-        """空 dict 直接返回"""
-        self.assertEqual(normalize_model_for_upload({}), {})
-        self.assertIsNone(normalize_model_for_upload(None))
-
-    def test_format_infer_xacro(self):
-        """自动从 path 后缀推断 format=xacro"""
-        model = {
-            "path": "https://oss.example.com/devices/arm/macro_device.xacro",
-            "mesh": "arm_slider",
-            "type": "device",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "xacro")
-
-    def test_format_infer_urdf(self):
-        """自动推断 format=urdf"""
-        model = {"path": "https://example.com/robot.urdf", "type": "device"}
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "urdf")
-
-    def test_format_infer_stl(self):
-        """自动推断 format=stl"""
-        model = {"path": "https://example.com/part.stl"}
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "stl")
-
-    def test_format_infer_gltf(self):
-        """自动推断 format=gltf（.gltf 和 .glb）"""
-        for ext in [".gltf", ".glb"]:
-            model = {"path": f"https://example.com/model{ext}"}
-            result = normalize_model_for_upload(model)
-            self.assertEqual(result["format"], "gltf", f"failed for {ext}")
-
-    def test_format_not_overwritten(self):
-        """已有 format 字段时不覆盖"""
-        model = {
-            "path": "https://example.com/model.xacro",
-            "format": "custom",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["format"], "custom")
-
-    def test_format_no_path(self):
-        """没有 path 时不推断 format"""
-        model = {"mesh": "arm_slider", "type": "device"}
-        result = normalize_model_for_upload(model)
-        self.assertNotIn("format", result)
-
-    def test_children_mesh_string_to_struct(self):
-        """将 children_mesh 字符串（旧格式）转为结构化对象"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "type": "resource",
-            "children_mesh": "tip/meshes/tip.stl",
-            "children_mesh_tf": [0.0045, 0.0045, 0, 0, 0, 1.57],
-            "children_mesh_path": "https://oss.example.com/tip.stl",
-        }
-        result = normalize_model_for_upload(model)
-
-        cm = result["children_mesh"]
-        self.assertIsInstance(cm, dict)
-        self.assertEqual(cm["path"], "https://oss.example.com/tip.stl")
-        self.assertEqual(cm["format"], "stl")
-        self.assertTrue(cm["default_visible"])
-        self.assertEqual(cm["local_offset"], [0.0045, 0.0045, 0])
-        self.assertEqual(cm["local_rotation"], [0, 0, 1.57])
-
-        self.assertNotIn("children_mesh_tf", result)
-        self.assertNotIn("children_mesh_path", result)
-
-    def test_children_mesh_no_oss_fallback(self):
-        """children_mesh 无 OSS URL 时 fallback 到本地路径"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "plate_96/meshes/plate_96.stl",
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertEqual(cm["path"], "plate_96/meshes/plate_96.stl")
-        self.assertEqual(cm["format"], "stl")
-
-    def test_children_mesh_gltf_format(self):
-        """children_mesh .glb 文件推断 format=gltf"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "meshes/child.glb",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["children_mesh"]["format"], "gltf")
-
-    def test_children_mesh_partial_tf(self):
-        """children_mesh_tf 只有 3 个值时只有 offset 无 rotation"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "tip.stl",
-            "children_mesh_tf": [0.01, 0.02, 0.03],
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertEqual(cm["local_offset"], [0.01, 0.02, 0.03])
-        self.assertNotIn("local_rotation", cm)
-
-    def test_children_mesh_no_tf(self):
-        """children_mesh 无 tf 时不加 offset/rotation"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": "tip.stl",
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertNotIn("local_offset", cm)
-        self.assertNotIn("local_rotation", cm)
-
-    def test_children_mesh_already_dict(self):
-        """children_mesh 已经是 dict 时不重新映射"""
-        model = {
-            "path": "https://example.com/rack.xacro",
-            "children_mesh": {
-                "path": "https://example.com/tip.stl",
-                "format": "stl",
-                "default_visible": False,
-            },
-        }
-        result = normalize_model_for_upload(model)
-        cm = result["children_mesh"]
-        self.assertIsInstance(cm, dict)
-        self.assertFalse(cm["default_visible"])
-
-    def test_original_not_mutated(self):
-        """原始 dict 不被修改"""
-        original = {
-            "path": "https://example.com/model.xacro",
-            "mesh": "arm",
-        }
-        original_copy = {**original}
-        normalize_model_for_upload(original)
-        self.assertEqual(original, original_copy)
-
-    def test_preserves_existing_fields(self):
-        """所有原始字段都被保留"""
-        model = {
-            "path": "https://example.com/model.xacro",
-            "mesh": "arm_slider",
-            "type": "device",
-            "mesh_tf": [0, 0, 0, 0, 0, 0],
-            "custom_field": "should_survive",
-        }
-        result = normalize_model_for_upload(model)
-        self.assertEqual(result["custom_field"], "should_survive")
-        self.assertEqual(result["mesh_tf"], [0, 0, 0, 0, 0, 0])
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/ros/test_joint_state_bridge.py

@@ -1,939 +0,0 @@
-"""
-P1 关节数据 & 资源跟随桥接测试 — 全面覆盖 HostNode 关节回调 + resource_pose 回调的边缘 case。
-
-不依赖 ROS2 运行时，通过 mock 模拟 msg 和 bridge。
-
-测试分组:
-  E1: JointRepublisher JSON 输出格式 (已修复 str→json.dumps)
-  E2: 关节状态回调 — 从 /joint_states (JointState msg) 直接读取 name/position
-  E3: 资源跟随 (resource_pose) — 夹爪抓取/释放/多资源
-  E4: 联合流程 — 关节 + 资源一并通过 bridge 发送
-  E5: Bridge 调用验证
-  E6: 同类型设备多实例 — 重复关节名场景
-  E7: 吞吐优化 — 死区过滤、抑频、增量 resource_poses
-"""
-
-import json
-import time
-import pytest
-from unittest.mock import MagicMock
-from types import SimpleNamespace
-from typing import Dict, Optional
-
-
-# ==================== 辅助: 模拟 JointState msg ====================
-
-
-def _make_joint_state_msg(names: list, positions: list, velocities=None, efforts=None):
-    """构造模拟的 sensor_msgs/JointState 消息（不依赖 ROS2）"""
-    msg = SimpleNamespace()
-    msg.name = names
-    msg.position = positions
-    msg.velocity = velocities or [0.0] * len(names)
-    msg.effort = efforts or [0.0] * len(names)
-    return msg
-
-
-def _make_string_msg(data: str):
-    """构造模拟的 std_msgs/String 消息"""
-    msg = SimpleNamespace()
-    msg.data = data
-    return msg
-
-
-# ==================== 辅助: 提取 HostNode 核心逻辑用于隔离测试 ====================
-
-
-class JointBridgeSimulator:
-    """
-    模拟 HostNode 的关节桥接核心逻辑（提取自 host_node.py），
-    不依赖 ROS2 Node、subscription 等基础设施。
-
-    包含吞吐优化逻辑:
-    - 死区过滤 (dead band): 关节变化 < 阈值时不发送
-    - 抑频 (throttle): 限制最大发送频率
-    - 增量 resource_poses: 仅在变化时附带
-    """
-
-    JOINT_DEAD_BAND: float = 1e-4
-    JOINT_MIN_INTERVAL: float = 0.05  # 秒
-
-    def __init__(self, device_uuid_map: Dict[str, str],
-                 dead_band: Optional[float] = None,
-                 min_interval: Optional[float] = None):
-        self.device_uuid_map = device_uuid_map
-        self._device_ids_sorted = sorted(device_uuid_map.keys(), key=len, reverse=True)
-        self._resource_poses: Dict[str, str] = {}
-        self._resource_poses_dirty: bool = False
-        self._last_joint_values: Dict[str, float] = {}
-        self._last_send_time: float = -float("inf")  # 确保首条消息总是通过
-        # 允许测试覆盖优化参数
-        if dead_band is not None:
-            self.JOINT_DEAD_BAND = dead_band
-        if min_interval is not None:
-            self.JOINT_MIN_INTERVAL = min_interval
-
-    def resource_pose_callback(self, msg) -> None:
-        """模拟 HostNode._resource_pose_callback（含变化检测）"""
-        try:
-            data = json.loads(msg.data)
-        except (json.JSONDecodeError, ValueError):
-            return
-        if not isinstance(data, dict) or not data:
-            return
-        has_change = False
-        for k, v in data.items():
-            if self._resource_poses.get(k) != v:
-                has_change = True
-                break
-        if has_change:
-            self._resource_poses.update(data)
-            self._resource_poses_dirty = True
-
-    def joint_state_callback(self, msg, now: Optional[float] = None) -> dict:
-        """
-        模拟 HostNode._joint_state_callback 核心逻辑（含优化）。
-        now 参数允许测试控制时间。
-        返回 {device_id: {"node_uuid": ..., "joint_states": {...}, "resource_poses": {...}}}。
-        返回 {} 表示被优化过滤。
-        """
-        names = list(msg.name)
-        positions = list(msg.position)
-        if not names or len(names) != len(positions):
-            return {}
-
-        if now is None:
-            now = time.time()
-        resource_dirty = self._resource_poses_dirty
-
-        # 抑频检查
-        if not resource_dirty and (now - self._last_send_time) < self.JOINT_MIN_INTERVAL:
-            return {}
-
-        # 死区过滤
-        has_significant_change = False
-        for name, pos in zip(names, positions):
-            last_val = self._last_joint_values.get(name)
-            if last_val is None or abs(float(pos) - last_val) >= self.JOINT_DEAD_BAND:
-                has_significant_change = True
-                break
-
-        if not has_significant_change and not resource_dirty:
-            return {}
-
-        # 更新状态
-        for name, pos in zip(names, positions):
-            self._last_joint_values[name] = float(pos)
-        self._last_send_time = now
-
-        # 按设备 ID 分组关节数据
-        device_joints: Dict[str, Dict[str, float]] = {}
-        for name, pos in zip(names, positions):
-            matched_device = None
-            for device_id in self._device_ids_sorted:
-                if name.startswith(device_id + "_"):
-                    matched_device = device_id
-                    break
-            if matched_device:
-                if matched_device not in device_joints:
-                    device_joints[matched_device] = {}
-                device_joints[matched_device][name] = float(pos)
-            elif len(self.device_uuid_map) == 1:
-                fallback_id = self._device_ids_sorted[0]
-                if fallback_id not in device_joints:
-                    device_joints[fallback_id] = {}
-                device_joints[fallback_id][name] = float(pos)
-
-        # 构建设备级 resource_poses（仅 dirty 时附带）
-        device_resource_poses: Dict[str, Dict[str, str]] = {}
-        if resource_dirty:
-            for resource_id, link_name in self._resource_poses.items():
-                matched_device = None
-                for device_id in self._device_ids_sorted:
-                    if link_name.startswith(device_id + "_"):
-                        matched_device = device_id
-                        break
-                if matched_device:
-                    if matched_device not in device_resource_poses:
-                        device_resource_poses[matched_device] = {}
-                    device_resource_poses[matched_device][resource_id] = link_name
-                elif len(self.device_uuid_map) == 1:
-                    fallback_id = self._device_ids_sorted[0]
-                    if fallback_id not in device_resource_poses:
-                        device_resource_poses[fallback_id] = {}
-                    device_resource_poses[fallback_id][resource_id] = link_name
-            self._resource_poses_dirty = False
-
-        result = {}
-        for device_id, joint_states in device_joints.items():
-            node_uuid = self.device_uuid_map.get(device_id)
-            if not node_uuid:
-                continue
-            result[device_id] = {
-                "node_uuid": node_uuid,
-                "joint_states": joint_states,
-                "resource_poses": device_resource_poses.get(device_id, {}),
-            }
-        return result
-
-
-# 功能测试中禁用优化（dead_band=0, min_interval=0），确保逻辑正确性
-def _make_sim(device_uuid_map: Dict[str, str]) -> JointBridgeSimulator:
-    """创建禁用吞吐优化的模拟器（用于功能正确性测试）"""
-    return JointBridgeSimulator(device_uuid_map, dead_band=0.0, min_interval=0.0)
-
-
-# ==================== E1: JointRepublisher JSON 输出 ====================
-
-
-class TestJointRepublisherFormat:
-    """验证 JointRepublisher 输出标准 JSON（双引号）而非 Python repr（单引号）"""
-
-    def test_output_is_valid_json(self):
-        """str() 产生单引号，json.dumps() 产生双引号"""
-        joint_dict = {
-            "name": ["joint1", "joint2"],
-            "position": [0.1, 0.2],
-            "velocity": [0.0, 0.0],
-            "effort": [0.0, 0.0],
-        }
-        result = json.dumps(joint_dict)
-        parsed = json.loads(result)
-        assert parsed["name"] == ["joint1", "joint2"]
-        assert parsed["position"] == [0.1, 0.2]
-        assert "'" not in result
-
-    def test_str_produces_invalid_json(self):
-        """对比: str() 不是合法 JSON"""
-        joint_dict = {"name": ["joint1"], "position": [0.1]}
-        result = str(joint_dict)
-        with pytest.raises(json.JSONDecodeError):
-            json.loads(result)
-
-
-# ==================== E2: 关节状态回调（JointState msg 直接读取）====================
-
-
-class TestJointStateCallback:
-    """测试从 JointState msg 直接读取 name/position 的分组逻辑"""
-
-    def test_single_device_simple(self):
-        """单设备，关节名有设备前缀"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        msg = _make_joint_state_msg(
-            ["panda_joint1", "panda_joint2"], [0.5, 1.0]
-        )
-        result = sim.joint_state_callback(msg)
-        assert "panda" in result
-        assert result["panda"]["joint_states"]["panda_joint1"] == 0.5
-        assert result["panda"]["joint_states"]["panda_joint2"] == 1.0
-
-    def test_single_device_no_prefix_fallback(self):
-        """单设备，关节名无设备前缀 → 应归入唯一设备"""
-        sim = _make_sim({"robot1": "uuid-r1"})
-        msg = _make_joint_state_msg(["joint_a", "joint_b"], [1.0, 2.0])
-        result = sim.joint_state_callback(msg)
-        assert "robot1" in result
-        assert result["robot1"]["joint_states"]["joint_a"] == 1.0
-        assert result["robot1"]["joint_states"]["joint_b"] == 2.0
-
-    def test_multi_device_distinct_prefixes(self):
-        """多设备，不同前缀，正确分组"""
-        sim = _make_sim({"arm1": "uuid-arm1", "arm2": "uuid-arm2"})
-        msg = _make_joint_state_msg(
-            ["arm1_j1", "arm1_j2", "arm2_j1", "arm2_j2"],
-            [0.1, 0.2, 0.3, 0.4],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["arm1"]["joint_states"]["arm1_j1"] == 0.1
-        assert result["arm1"]["joint_states"]["arm1_j2"] == 0.2
-        assert result["arm2"]["joint_states"]["arm2_j1"] == 0.3
-        assert result["arm2"]["joint_states"]["arm2_j2"] == 0.4
-
-    def test_ambiguous_prefix_longest_wins(self):
-        """前缀歧义: arm 和 arm_left — 最长前缀优先"""
-        sim = _make_sim({"arm": "uuid-arm", "arm_left": "uuid-arm-left"})
-        msg = _make_joint_state_msg(
-            ["arm_j1", "arm_left_j1", "arm_left_j2"],
-            [0.1, 0.2, 0.3],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["arm"]["joint_states"]["arm_j1"] == 0.1
-        assert result["arm_left"]["joint_states"]["arm_left_j1"] == 0.2
-        assert result["arm_left"]["joint_states"]["arm_left_j2"] == 0.3
-
-    def test_multi_device_unmatched_joints_dropped(self):
-        """多设备时，无法匹配前缀的关节应被丢弃（不 fallback）"""
-        sim = _make_sim({"arm1": "uuid-arm1", "arm2": "uuid-arm2"})
-        msg = _make_joint_state_msg(
-            ["arm1_j1", "unknown_j1"],
-            [0.1, 0.9],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["arm1"]["joint_states"]["arm1_j1"] == 0.1
-        for device_id, data in result.items():
-            assert "unknown_j1" not in data["joint_states"]
-
-    def test_empty_names(self):
-        """空 name 列表"""
-        sim = _make_sim({"dev": "uuid-dev"})
-        msg = _make_joint_state_msg([], [])
-        result = sim.joint_state_callback(msg)
-        assert result == {}
-
-    def test_mismatched_lengths(self):
-        """name 和 position 长度不一致"""
-        sim = _make_sim({"dev": "uuid-dev"})
-        msg = _make_joint_state_msg(["j1", "j2"], [0.1])
-        result = sim.joint_state_callback(msg)
-        assert result == {}
-
-    def test_no_devices(self):
-        """无设备 UUID 映射"""
-        sim = _make_sim({})
-        msg = _make_joint_state_msg(["j1"], [0.1])
-        result = sim.joint_state_callback(msg)
-        assert result == {}
-
-    def test_numeric_prefix_device_ids(self):
-        """数字化设备 ID (如 deck1, deck12) — deck12_slot1 不应匹配 deck1"""
-        sim = _make_sim({"deck1": "uuid-d1", "deck12": "uuid-d12"})
-        msg = _make_joint_state_msg(
-            ["deck1_slot1", "deck12_slot1"],
-            [1.0, 2.0],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["deck1"]["joint_states"]["deck1_slot1"] == 1.0
-        assert result["deck12"]["joint_states"]["deck12_slot1"] == 2.0
-
-    def test_position_float_conversion(self):
-        """position 值应强制转为 float（即使输入为 int）"""
-        sim = _make_sim({"arm": "uuid-arm"})
-        msg = _make_joint_state_msg(["arm_j1"], [1])
-        result = sim.joint_state_callback(msg)
-        assert result["arm"]["joint_states"]["arm_j1"] == 1.0
-        assert isinstance(result["arm"]["joint_states"]["arm_j1"], float)
-
-    def test_node_uuid_in_result(self):
-        """结果中应携带正确的 node_uuid"""
-        sim = _make_sim({"panda": "uuid-panda-123"})
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["node_uuid"] == "uuid-panda-123"
-
-    def test_device_with_no_uuid_skipped(self):
-        """device_uuid_map 中存在映射但值为空 → 跳过"""
-        sim = _make_sim({"arm": ""})
-        msg = _make_joint_state_msg(["arm_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-        assert result == {}
-
-    def test_many_joints_single_device(self):
-        """单设备大量关节（如 7-DOF arm）"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        names = [f"panda_joint{i}" for i in range(1, 8)]
-        positions = [float(i) * 0.1 for i in range(1, 8)]
-        msg = _make_joint_state_msg(names, positions)
-        result = sim.joint_state_callback(msg)
-        assert len(result["panda"]["joint_states"]) == 7
-        assert result["panda"]["joint_states"]["panda_joint7"] == pytest.approx(0.7)
-
-    def test_duplicate_joint_names_last_wins(self):
-        """同类型设备多个实例时，如果关节名完全重复（bug 场景），后出现的值覆盖前者"""
-        sim = _make_sim({"dev": "uuid-dev"})
-        msg = _make_joint_state_msg(["dev_j1", "dev_j1"], [1.0, 2.0])
-        result = sim.joint_state_callback(msg)
-        assert result["dev"]["joint_states"]["dev_j1"] == 2.0
-
-    def test_negative_positions(self):
-        """关节角度为负数"""
-        sim = _make_sim({"arm": "uuid-arm"})
-        msg = _make_joint_state_msg(["arm_j1", "arm_j2"], [-1.57, -3.14])
-        result = sim.joint_state_callback(msg)
-        assert result["arm"]["joint_states"]["arm_j1"] == pytest.approx(-1.57)
-        assert result["arm"]["joint_states"]["arm_j2"] == pytest.approx(-3.14)
-
-
-# ==================== E3: 资源跟随 (resource_pose) ====================
-
-
-class TestResourcePoseCallback:
-    """测试 resource_pose 回调 — 夹爪抓取/释放/多资源"""
-
-    def test_single_resource_attach(self):
-        """单个资源挂载到夹爪 link"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        msg = _make_string_msg(json.dumps({"plate_1": "panda_gripper_link"}))
-        sim.resource_pose_callback(msg)
-        assert sim._resource_poses == {"plate_1": "panda_gripper_link"}
-        assert sim._resource_poses_dirty is True
-
-    def test_multiple_resource_attach(self):
-        """多个资源同时挂载到不同 link"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        msg = _make_string_msg(json.dumps({
-            "plate_1": "panda_gripper_link",
-            "tip_rack": "panda_deck_link",
-        }))
-        sim.resource_pose_callback(msg)
-        assert sim._resource_poses["plate_1"] == "panda_gripper_link"
-        assert sim._resource_poses["tip_rack"] == "panda_deck_link"
-
-    def test_incremental_update(self):
-        """增量更新：新消息合并到已有状态"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_deck_link"})))
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_2": "panda_gripper_link"})))
-        assert len(sim._resource_poses) == 2
-        assert sim._resource_poses["plate_1"] == "panda_deck_link"
-        assert sim._resource_poses["plate_2"] == "panda_gripper_link"
-
-    def test_resource_reattach(self):
-        """资源从 deck 移动到 gripper（抓取操作）"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_deck_link"})))
-        assert sim._resource_poses["plate_1"] == "panda_deck_link"
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_gripper_link"})))
-        assert sim._resource_poses["plate_1"] == "panda_gripper_link"
-
-    def test_resource_release_back_to_world(self):
-        """释放资源回到 world"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_gripper_link"})))
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "world"})))
-        assert sim._resource_poses["plate_1"] == "world"
-
-    def test_empty_dict_heartbeat_no_dirty(self):
-        """空 dict（心跳包）不标记 dirty"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_link"})))
-        sim._resource_poses_dirty = False  # 重置
-        sim.resource_pose_callback(_make_string_msg(json.dumps({})))
-        assert sim._resource_poses_dirty is False  # 空 dict 不应标记 dirty
-
-    def test_same_value_no_dirty(self):
-        """重复发送相同值不应标记 dirty"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_link"})))
-        sim._resource_poses_dirty = False
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_link"})))
-        assert sim._resource_poses_dirty is False
-
-    def test_invalid_json_ignored(self):
-        """非法 JSON 消息不影响状态"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate_1": "panda_link"})))
-        sim.resource_pose_callback(_make_string_msg("not valid json {{{"))
-        assert sim._resource_poses["plate_1"] == "panda_link"
-
-    def test_non_dict_json_ignored(self):
-        """JSON 但不是 dict（如 list）应被忽略"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps(["not", "a", "dict"])))
-        assert sim._resource_poses == {}
-
-    def test_python_repr_ignored(self):
-        """Python repr 格式（单引号）应被忽略"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg("{'plate_1': 'panda_link'}"))
-        assert sim._resource_poses == {}
-
-    def test_multi_device_resource_attach(self):
-        """多设备场景：不同设备的 link 挂载不同资源"""
-        sim = _make_sim({"arm1": "uuid-arm1", "arm2": "uuid-arm2"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "arm1_gripper_link",
-            "plate_B": "arm2_gripper_link",
-        })))
-        assert sim._resource_poses["plate_A"] == "arm1_gripper_link"
-        assert sim._resource_poses["plate_B"] == "arm2_gripper_link"
-
-
-# ==================== E4: 联合流程 — 关节 + 资源一并通过 bridge ====================
-
-
-class TestJointWithResourcePoses:
-    """测试关节状态回调时，resource_poses 被正确按设备分组并包含在结果中"""
-
-    def test_single_device_joint_with_resource(self):
-        """单设备：关节更新时携带已挂载的资源"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_gripper_link",
-        })))
-        msg = _make_joint_state_msg(["panda_j1", "panda_j2"], [0.5, 1.0])
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"] == {"plate_1": "panda_gripper_link"}
-
-    def test_single_device_no_resource(self):
-        """单设备：无资源挂载时 resource_poses 为空 dict"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"] == {}
-
-    def test_multi_device_resource_routing(self):
-        """多设备：资源按 link 前缀路由到正确设备"""
-        sim = _make_sim({"arm1": "uuid-arm1", "arm2": "uuid-arm2"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "arm1_gripper_link",
-            "plate_B": "arm2_gripper_link",
-            "tube_1": "arm1_tool_link",
-        })))
-        msg = _make_joint_state_msg(
-            ["arm1_j1", "arm2_j1"],
-            [0.1, 0.2],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["arm1"]["resource_poses"] == {
-            "plate_A": "arm1_gripper_link",
-            "tube_1": "arm1_tool_link",
-        }
-        assert result["arm2"]["resource_poses"] == {"plate_B": "arm2_gripper_link"}
-
-    def test_resource_on_world_frame_not_routed(self):
-        """资源挂在 world frame（已释放）— 多设备时无法匹配任何设备前缀"""
-        sim = _make_sim({"arm1": "uuid-arm1", "arm2": "uuid-arm2"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "world",
-        })))
-        msg = _make_joint_state_msg(["arm1_j1"], [0.1])
-        result = sim.joint_state_callback(msg)
-        assert result["arm1"]["resource_poses"] == {}
-
-    def test_resource_world_frame_single_device_fallback(self):
-        """单设备时 world frame 的资源走 fallback"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "world",
-        })))
-        msg = _make_joint_state_msg(["panda_j1"], [0.1])
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"] == {"plate_A": "world"}
-
-    def test_grab_and_move_sequence(self):
-        """完整夹取序列: 资源在 deck → gripper 抓取 → arm 移动 → 放下"""
-        sim = _make_sim({"panda": "uuid-panda"})
-
-        # 初始: plate 在 deck
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_deck_third_link",
-        })))
-
-        msg = _make_joint_state_msg(
-            ["panda_j1", "panda_j2", "panda_j3"],
-            [0.0, -0.5, 1.0],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"]["plate_1"] == "panda_deck_third_link"
-
-        # 抓取: plate 从 deck → gripper
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_gripper_link",
-        })))
-
-        msg = _make_joint_state_msg(
-            ["panda_j1", "panda_j2", "panda_j3"],
-            [1.57, 0.0, -0.5],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"]["plate_1"] == "panda_gripper_link"
-        assert result["panda"]["joint_states"]["panda_j1"] == pytest.approx(1.57)
-
-        # 放下: plate 从 gripper → 目标 deck
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_deck_first_link",
-        })))
-
-        msg = _make_joint_state_msg(
-            ["panda_j1", "panda_j2", "panda_j3"],
-            [0.0, 0.0, 0.0],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["panda"]["resource_poses"]["plate_1"] == "panda_deck_first_link"
-
-    def test_simultaneous_grab_multiple_resources(self):
-        """同时持有多个资源（如双夹爪）"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_left_gripper",
-            "plate_2": "panda_right_gripper",
-            "tip_rack": "panda_deck_link",
-        })))
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-        assert len(result["panda"]["resource_poses"]) == 3
-
-    def test_resource_with_ambiguous_link_prefix(self):
-        """link 前缀歧义: arm_left_gripper 应匹配 arm_left 而非 arm"""
-        sim = _make_sim({"arm": "uuid-arm", "arm_left": "uuid-arm-left"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "arm_gripper_link",
-            "plate_B": "arm_left_gripper_link",
-        })))
-        msg = _make_joint_state_msg(
-            ["arm_j1", "arm_left_j1"],
-            [0.1, 0.2],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["arm"]["resource_poses"] == {"plate_A": "arm_gripper_link"}
-        assert result["arm_left"]["resource_poses"] == {"plate_B": "arm_left_gripper_link"}
-
-
-# ==================== E5: Bridge 调用验证 ====================
-
-
-class TestBridgeCalls:
-    """验证完整桥接流: callback → bridge.publish_joint_state 调用"""
-
-    def test_bridge_called_per_device(self):
-        """每个设备调用一次 publish_joint_state"""
-        device_uuid_map = {"arm1": "uuid-111", "arm2": "uuid-222"}
-        sim = _make_sim(device_uuid_map)
-        bridge = MagicMock()
-        bridge.publish_joint_state = MagicMock()
-
-        msg = _make_joint_state_msg(
-            ["arm1_j1", "arm2_j1"],
-            [1.0, 2.0],
-        )
-        result = sim.joint_state_callback(msg)
-
-        for device_id, data in result.items():
-            bridge.publish_joint_state(
-                data["node_uuid"], data["joint_states"], data["resource_poses"]
-            )
-
-        assert bridge.publish_joint_state.call_count == 2
-        call_uuids = {c[0][0] for c in bridge.publish_joint_state.call_args_list}
-        assert call_uuids == {"uuid-111", "uuid-222"}
-
-    def test_bridge_called_with_resource_poses(self):
-        """bridge 调用时携带 resource_poses"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_1": "panda_gripper_link",
-        })))
-
-        bridge = MagicMock()
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-
-        for device_id, data in result.items():
-            bridge.publish_joint_state(
-                data["node_uuid"], data["joint_states"], data["resource_poses"]
-            )
-
-        bridge.publish_joint_state.assert_called_once_with(
-            "uuid-panda",
-            {"panda_j1": 0.5},
-            {"plate_1": "panda_gripper_link"},
-        )
-
-    def test_bridge_no_call_for_empty_joints(self):
-        """无关节数据时不调用 bridge"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        bridge = MagicMock()
-
-        msg = _make_joint_state_msg([], [])
-        result = sim.joint_state_callback(msg)
-
-        for device_id, data in result.items():
-            bridge.publish_joint_state(
-                data["node_uuid"], data["joint_states"], data["resource_poses"]
-            )
-
-        bridge.publish_joint_state.assert_not_called()
-
-    def test_bridge_resource_poses_empty_when_no_resources(self):
-        """无资源挂载时，resource_poses 参数为空 dict"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        bridge = MagicMock()
-
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-
-        for device_id, data in result.items():
-            bridge.publish_joint_state(
-                data["node_uuid"], data["joint_states"], data["resource_poses"]
-            )
-
-        bridge.publish_joint_state.assert_called_once_with(
-            "uuid-panda",
-            {"panda_j1": 0.5},
-            {},
-        )
-
-    def test_multi_bridge_all_called(self):
-        """多个 bridge 都应被调用"""
-        sim = _make_sim({"arm": "uuid-arm"})
-        bridges = [MagicMock(), MagicMock()]
-
-        msg = _make_joint_state_msg(["arm_j1"], [0.5])
-        result = sim.joint_state_callback(msg)
-
-        for device_id, data in result.items():
-            for bridge in bridges:
-                bridge.publish_joint_state(
-                    data["node_uuid"], data["joint_states"], data["resource_poses"]
-                )
-
-        for bridge in bridges:
-            bridge.publish_joint_state.assert_called_once()
-
-
-# ==================== E6: 同类型设备多个实例 — 重复关节名场景 ====================
-
-
-class TestDuplicateDeviceTypes:
-    """
-    多个同类型设备（如 2 个 OT-2 移液器），关节名格式为 {device_id}_{joint_name}。
-    设备 ID 不同（如 ot2_left, ot2_right），但底层关节名相同（如 pipette_j1）。
-    """
-
-    def test_same_type_different_id(self):
-        """同类型设备不同 ID"""
-        sim = _make_sim({
-            "ot2_left": "uuid-ot2-left",
-            "ot2_right": "uuid-ot2-right",
-        })
-        msg = _make_joint_state_msg(
-            ["ot2_left_pipette_j1", "ot2_left_pipette_j2",
-             "ot2_right_pipette_j1", "ot2_right_pipette_j2"],
-            [0.1, 0.2, 0.3, 0.4],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["ot2_left"]["joint_states"]["ot2_left_pipette_j1"] == 0.1
-        assert result["ot2_left"]["joint_states"]["ot2_left_pipette_j2"] == 0.2
-        assert result["ot2_right"]["joint_states"]["ot2_right_pipette_j1"] == 0.3
-        assert result["ot2_right"]["joint_states"]["ot2_right_pipette_j2"] == 0.4
-
-    def test_same_type_with_resources_routed_correctly(self):
-        """同类型设备各自抓取资源，按 link 前缀正确路由"""
-        sim = _make_sim({
-            "ot2_left": "uuid-ot2-left",
-            "ot2_right": "uuid-ot2-right",
-        })
-        sim.resource_pose_callback(_make_string_msg(json.dumps({
-            "plate_A": "ot2_left_gripper",
-            "plate_B": "ot2_right_gripper",
-        })))
-        msg = _make_joint_state_msg(
-            ["ot2_left_j1", "ot2_right_j1"],
-            [0.5, 0.6],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["ot2_left"]["resource_poses"] == {"plate_A": "ot2_left_gripper"}
-        assert result["ot2_right"]["resource_poses"] == {"plate_B": "ot2_right_gripper"}
-
-    def test_numbered_devices_no_confusion(self):
-        """编号设备: robot1 不应匹配 robot10 的关节"""
-        sim = _make_sim({
-            "robot1": "uuid-r1",
-            "robot10": "uuid-r10",
-        })
-        msg = _make_joint_state_msg(
-            ["robot1_j1", "robot10_j1"],
-            [1.0, 10.0],
-        )
-        result = sim.joint_state_callback(msg)
-        assert result["robot1"]["joint_states"]["robot1_j1"] == 1.0
-        assert result["robot10"]["joint_states"]["robot10_j1"] == 10.0
-
-    def test_three_same_type_devices(self):
-        """三个同类型设备"""
-        sim = _make_sim({
-            "pump_a": "uuid-pa",
-            "pump_b": "uuid-pb",
-            "pump_c": "uuid-pc",
-        })
-        msg = _make_joint_state_msg(
-            ["pump_a_flow", "pump_b_flow", "pump_c_flow",
-             "pump_a_pressure", "pump_b_pressure"],
-            [1.0, 2.0, 3.0, 0.1, 0.2],
-        )
-        result = sim.joint_state_callback(msg)
-        assert len(result["pump_a"]["joint_states"]) == 2
-        assert len(result["pump_b"]["joint_states"]) == 2
-        assert len(result["pump_c"]["joint_states"]) == 1
-
-
-# ==================== E7: 吞吐优化测试 ====================
-
-
-class TestThroughputOptimizations:
-    """测试死区过滤、抑频、增量 resource_poses 等优化行为"""
-
-    # --- 死区过滤 (Dead Band) ---
-
-    def test_dead_band_filters_tiny_change(self):
-        """关节变化小于死区阈值 → 被过滤"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.0)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        result1 = sim.joint_state_callback(msg1, now=0.0)
-        assert "arm" in result1
-
-        # 微小变化 (0.001 < 0.01 死区)
-        msg2 = _make_joint_state_msg(["arm_j1"], [1.001])
-        result2 = sim.joint_state_callback(msg2, now=1.0)
-        assert result2 == {}
-
-    def test_dead_band_passes_significant_change(self):
-        """关节变化大于死区阈值 → 通过"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.0)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        sim.joint_state_callback(msg1, now=0.0)
-
-        msg2 = _make_joint_state_msg(["arm_j1"], [1.05])
-        result2 = sim.joint_state_callback(msg2, now=1.0)
-        assert "arm" in result2
-        assert result2["arm"]["joint_states"]["arm_j1"] == pytest.approx(1.05)
-
-    def test_dead_band_first_message_always_passes(self):
-        """首次消息总是通过（无历史值）"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=1000.0, min_interval=0.0)
-        msg = _make_joint_state_msg(["arm_j1"], [0.001])
-        result = sim.joint_state_callback(msg, now=0.0)
-        assert "arm" in result
-
-    def test_dead_band_any_joint_change_triggers(self):
-        """多关节中只要有一个超过死区就全部发送"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.0)
-        msg1 = _make_joint_state_msg(["arm_j1", "arm_j2"], [1.0, 2.0])
-        sim.joint_state_callback(msg1, now=0.0)
-
-        # j1 微变化，j2 大变化
-        msg2 = _make_joint_state_msg(["arm_j1", "arm_j2"], [1.001, 2.5])
-        result2 = sim.joint_state_callback(msg2, now=1.0)
-        assert "arm" in result2
-        # 两个关节的值都应包含在结果中
-        assert result2["arm"]["joint_states"]["arm_j1"] == pytest.approx(1.001)
-        assert result2["arm"]["joint_states"]["arm_j2"] == pytest.approx(2.5)
-
-    # --- 抑频 (Throttle) ---
-
-    def test_throttle_filters_rapid_messages(self):
-        """发送间隔内的消息被过滤"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.0, min_interval=0.1)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        result1 = sim.joint_state_callback(msg1, now=0.0)
-        assert "arm" in result1
-
-        # 0.05s < 0.1s 间隔
-        msg2 = _make_joint_state_msg(["arm_j1"], [2.0])
-        result2 = sim.joint_state_callback(msg2, now=0.05)
-        assert result2 == {}
-
-    def test_throttle_passes_after_interval(self):
-        """超过发送间隔后消息通过"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.0, min_interval=0.1)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        sim.joint_state_callback(msg1, now=0.0)
-
-        msg2 = _make_joint_state_msg(["arm_j1"], [2.0])
-        result2 = sim.joint_state_callback(msg2, now=0.15)
-        assert "arm" in result2
-
-    def test_throttle_bypassed_by_resource_change(self):
-        """resource_pose 变化时忽略抑频限制"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.0, min_interval=1.0)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        sim.joint_state_callback(msg1, now=0.0)
-
-        # 资源变化 → 强制发送
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate": "arm_gripper"})))
-        msg2 = _make_joint_state_msg(["arm_j1"], [1.0])
-        result2 = sim.joint_state_callback(msg2, now=0.01)  # 远小于 1.0 间隔
-        assert "arm" in result2
-        assert result2["arm"]["resource_poses"] == {"plate": "arm_gripper"}
-
-    # --- 增量 resource_poses ---
-
-    def test_resource_poses_only_sent_when_dirty(self):
-        """resource_poses 仅在 dirty 时附带，否则为空"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate": "panda_gripper"})))
-
-        # 第一次发送：dirty → 携带 resource_poses
-        msg1 = _make_joint_state_msg(["panda_j1"], [0.5])
-        result1 = sim.joint_state_callback(msg1)
-        assert result1["panda"]["resource_poses"] == {"plate": "panda_gripper"}
-
-        # dirty 已清除
-        assert sim._resource_poses_dirty is False
-
-        # 第二次发送：not dirty → resource_poses 为空
-        msg2 = _make_joint_state_msg(["panda_j1"], [1.0])
-        result2 = sim.joint_state_callback(msg2)
-        assert result2["panda"]["resource_poses"] == {}
-
-    def test_resource_change_resets_dirty_after_send(self):
-        """dirty 在发送后被重置，再次 resource_pose 变化后重新标记"""
-        sim = _make_sim({"panda": "uuid-panda"})
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate": "panda_deck"})))
-
-        msg = _make_joint_state_msg(["panda_j1"], [0.5])
-        sim.joint_state_callback(msg)
-        assert sim._resource_poses_dirty is False
-
-        # 再次资源变化
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate": "panda_gripper"})))
-        assert sim._resource_poses_dirty is True
-
-        msg2 = _make_joint_state_msg(["panda_j1"], [1.0])
-        result2 = sim.joint_state_callback(msg2)
-        assert result2["panda"]["resource_poses"] == {"plate": "panda_gripper"}
-
-    # --- 组合场景 ---
-
-    def test_dead_band_bypassed_by_resource_dirty(self):
-        """关节无变化但 resource_pose 有变化 → 仍然发送"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.0)
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        sim.joint_state_callback(msg1, now=0.0)
-
-        sim.resource_pose_callback(_make_string_msg(json.dumps({"plate": "arm_gripper"})))
-        # 关节值完全不变
-        msg2 = _make_joint_state_msg(["arm_j1"], [1.0])
-        result2 = sim.joint_state_callback(msg2, now=1.0)
-        assert "arm" in result2
-        assert result2["arm"]["resource_poses"] == {"plate": "arm_gripper"}
-
-    def test_high_frequency_stream_only_significant_pass(self):
-        """模拟高频流: 只有显著变化的消息通过"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.0)
-        t = 0.0
-        passed_count = 0
-
-        # 100 条消息，每条微小递增 0.001
-        for i in range(100):
-            t += 0.1
-            val = 1.0 + i * 0.001
-            msg = _make_joint_state_msg(["arm_j1"], [val])
-            result = sim.joint_state_callback(msg, now=t)
-            if result:
-                passed_count += 1
-
-        # 首次总通过 + 每 10 条左右（累计 0.01 变化）通过一次
-        assert passed_count < 20  # 远少于 100
-        assert passed_count >= 5  # 但不应为 0
-
-    def test_throttle_and_dead_band_combined(self):
-        """同时受抑频和死区影响"""
-        sim = JointBridgeSimulator({"arm": "uuid-arm"}, dead_band=0.01, min_interval=0.5)
-
-        # 首条通过
-        msg1 = _make_joint_state_msg(["arm_j1"], [1.0])
-        assert sim.joint_state_callback(msg1, now=0.0) != {}
-
-        # 时间不够 + 变化不够 → 过滤
-        msg2 = _make_joint_state_msg(["arm_j1"], [1.001])
-        assert sim.joint_state_callback(msg2, now=0.1) == {}
-
-        # 时间够但变化不够 → 过滤
-        msg3 = _make_joint_state_msg(["arm_j1"], [1.002])
-        assert sim.joint_state_callback(msg3, now=1.0) == {}
-
-        # 时间够且变化够 → 通过
-        msg4 = _make_joint_state_msg(["arm_j1"], [1.05])
-        assert sim.joint_state_callback(msg4, now=1.5) != {}

unilabos/__init__.py

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

unilabos/app/communication.py

@@ -50,17 +50,6 @@ class BaseCommunicationClient(ABC):
         """
         pass
 
-    def publish_joint_state(self, node_uuid: str, joint_states: dict, resource_poses: dict = None) -> None:
-        """
-        发布高频关节状态数据（push_joint_state action，不写 DB）
-
-        Args:
-            node_uuid: 设备节点的云端 UUID
-            joint_states: 关节名 → 角度/位置 的映射
-            resource_poses: 物料附着映射（可选）
-        """
-        pass
-
     @abstractmethod
     def publish_job_status(
         self, feedback_data: dict, job_id: str, status: str, return_info: Optional[dict] = None

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/model_upload.py

@@ -1,210 +0,0 @@
-"""模型文件上传/下载管理。
-
-提供 Edge 端本地模型文件与 OSS 之间的双向同步：
-- upload_device_model: 本地模型 → OSS（Edge 首次接入时）
-- download_model_from_oss: OSS → 本地（新 Edge 加入已有 Lab 时）
-"""
-
-from __future__ import annotations
-
-import os
-from pathlib import Path
-from typing import TYPE_CHECKING, Optional
-
-import requests
-
-from unilabos.utils.log import logger
-
-if TYPE_CHECKING:
-    from unilabos.app.web.client import HTTPClient
-
-# 设备 mesh 根目录
-_MESH_BASE_DIR = Path(__file__).parent.parent / "device_mesh"
-
-# 支持的模型文件后缀
-_MODEL_EXTENSIONS = frozenset({
-    ".xacro", ".urdf", ".stl", ".dae", ".obj",
-    ".gltf", ".glb", ".fbx", ".yaml", ".yml",
-})
-
-# 需要 XOR 加密/解密的 mesh 文件后缀（反爬保护 — 方案 C）
-_MESH_ENCRYPT_EXTENSIONS = frozenset({
-    ".stl", ".dae", ".obj", ".fbx", ".gltf", ".glb",
-})
-
-# XOR 密钥 — 从环境变量读取，与前端 mesh-decrypt.ts 一致
-_XOR_KEY = os.environ.get("UNILAB_MESH_XOR_KEY", "unilab3d-model-protection-key-v1").encode()
-
-
-def _xor_transform(data: bytes, key: bytes = _XOR_KEY) -> bytes:
-    """XOR 加密/解密（对称操作）。"""
-    key_len = len(key)
-    return bytes(b ^ key[i % key_len] for i, b in enumerate(data))
-
-
-def upload_device_model(
-    http_client: "HTTPClient",
-    template_uuid: str,
-    mesh_name: str,
-    model_type: str,
-    version: str = "1.0.0",
-) -> Optional[str]:
-    """上传本地模型文件到 OSS，返回入口文件的 OSS URL。
-
-    Args:
-        http_client: HTTPClient 实例
-        template_uuid: 设备模板 UUID
-        mesh_name: mesh 目录名（如 "arm_slider"）
-        model_type: "device" 或 "resource"
-        version: 模型版本
-
-    Returns:
-        入口文件 OSS URL，上传失败返回 None
-    """
-    if model_type == "device":
-        model_dir = _MESH_BASE_DIR / "devices" / mesh_name
-    else:
-        model_dir = _MESH_BASE_DIR / "resources" / mesh_name
-
-    if not model_dir.exists():
-        logger.warning(f"[模型上传] 本地目录不存在: {model_dir}")
-        return None
-
-    # 收集所有需要上传的文件
-    files = []
-    for f in model_dir.rglob("*"):
-        if f.is_file() and f.suffix.lower() in _MODEL_EXTENSIONS:
-            files.append({
-                "name": str(f.relative_to(model_dir)),
-                "size_kb": f.stat().st_size // 1024,
-            })
-
-    if not files:
-        logger.warning(f"[模型上传] 目录中无可上传的模型文件: {model_dir}")
-        return None
-
-    try:
-        # 1. 获取预签名上传 URL
-        upload_urls_resp = http_client.get_model_upload_urls(
-            template_uuid=template_uuid,
-            files=[{"name": f["name"], "version": version} for f in files],
-        )
-        if not upload_urls_resp:
-            return None
-
-        url_items = upload_urls_resp.get("files", [])
-
-        # 2. 逐个上传文件
-        for file_info, url_info in zip(files, url_items):
-            local_path = model_dir / file_info["name"]
-            upload_url = url_info.get("upload_url", "")
-            if not upload_url:
-                continue
-            _put_upload(local_path, upload_url)
-
-        # 3. 确认发布
-        entry_file = "macro_device.xacro" if model_type == "device" else "modal.xacro"
-        # 检查入口文件是否存在，使用实际存在的文件名
-        for f in files:
-            if f["name"].endswith(".xacro"):
-                entry_file = f["name"]
-                break
-
-        publish_resp = http_client.publish_model(
-            template_uuid=template_uuid,
-            version=version,
-            entry_file=entry_file,
-        )
-        return publish_resp.get("path") if publish_resp else None
-
-    except Exception as e:
-        logger.error(f"[模型上传] 上传失败 ({mesh_name}): {e}")
-        return None
-
-
-def download_model_from_oss(
-    model_config: dict,
-    mesh_base_dir: Optional[Path] = None,
-) -> bool:
-    """检查本地模型文件是否存在，不存在则从 OSS 下载。
-
-    Args:
-        model_config: 节点的 model 配置字典
-        mesh_base_dir: mesh 根目录，默认使用 device_mesh/
-
-    Returns:
-        True 表示本地文件就绪，False 表示下载失败或无需下载
-    """
-    if mesh_base_dir is None:
-        mesh_base_dir = _MESH_BASE_DIR
-
-    mesh_name = model_config.get("mesh", "")
-    model_type = model_config.get("type", "")
-    oss_path = model_config.get("path", "")
-
-    if not mesh_name or not oss_path or not oss_path.startswith("https://"):
-        return False
-
-    # 确定本地目标目录
-    if model_type == "device":
-        local_dir = mesh_base_dir / "devices" / mesh_name
-    elif model_type == "resource":
-        resource_name = mesh_name.split("/")[0]
-        local_dir = mesh_base_dir / "resources" / resource_name
-    else:
-        return False
-
-    # 已有本地文件 → 跳过
-    if local_dir.exists() and any(local_dir.iterdir()):
-        return True
-
-    # 从 OSS 下载
-    local_dir.mkdir(parents=True, exist_ok=True)
-    try:
-        # 下载入口文件（OSS URL 通常直接可访问）
-        entry_name = oss_path.rsplit("/", 1)[-1]
-        _download_file(oss_path, local_dir / entry_name)
-
-        # 如果有 children_mesh，也下载
-        children_mesh = model_config.get("children_mesh")
-        if isinstance(children_mesh, dict) and children_mesh.get("path"):
-            cm_path = children_mesh["path"]
-            if cm_path.startswith("https://"):
-                cm_name = cm_path.rsplit("/", 1)[-1]
-                meshes_dir = local_dir / "meshes"
-                meshes_dir.mkdir(parents=True, exist_ok=True)
-                _download_file(cm_path, meshes_dir / cm_name)
-
-        logger.info(f"[模型下载] 成功下载模型到本地: {mesh_name} → {local_dir}")
-        return True
-
-    except Exception as e:
-        logger.warning(f"[模型下载] 下载失败 ({mesh_name}): {e}")
-        return False
-
-
-def _put_upload(local_path: Path, upload_url: str) -> None:
-    """通过预签名 URL 上传文件到 OSS。对 mesh 文件自动 XOR 加密。"""
-    with open(local_path, "rb") as f:
-        data = f.read()
-    # 对 mesh 文件 XOR 加密后上传（反爬保护 — 方案 C）
-    if local_path.suffix.lower() in _MESH_ENCRYPT_EXTENSIONS:
-        data = _xor_transform(data)
-        logger.debug(f"[模型上传] XOR 加密: {local_path.name}")
-    resp = requests.put(upload_url, data=data, timeout=120)
-    resp.raise_for_status()
-    logger.debug(f"[模型上传] 已上传: {local_path.name}")
-
-
-def _download_file(url: str, local_path: Path) -> None:
-    """下载单个文件到本地路径。对 mesh 文件自动 XOR 解密。"""
-    local_path.parent.mkdir(parents=True, exist_ok=True)
-    resp = requests.get(url, timeout=60)
-    resp.raise_for_status()
-    data = resp.content
-    # 从 OSS 下载的 mesh 文件是加密的，需要 XOR 解密后再存本地
-    if local_path.suffix.lower() in _MESH_ENCRYPT_EXTENSIONS:
-        data = _xor_transform(data)
-        logger.debug(f"[模型下载] XOR 解密: {local_path.name}")
-    local_path.write_bytes(data)
-    logger.debug(f"[模型下载] 已下载: {local_path}")

unilabos/app/register.py

@@ -5,48 +5,6 @@ from unilabos.utils.log import logger
 from unilabos.utils.tools import normalize_json as _normalize_device
 
 
-def normalize_model_for_upload(model_dict: dict) -> dict:
-    """将 Registry YAML 的 model 字段映射为后端 DeviceModel 结构化格式。
-
-    保留所有原始字段，额外做以下标准化：
-    1. 自动推断 format（如果 YAML 未指定）
-    2. 将 children_mesh 扁平字段映射为结构化 children_mesh 对象
-    """
-    if not model_dict:
-        return model_dict
-
-    result = {**model_dict}
-
-    # 自动推断 format
-    if "format" not in result and result.get("path"):
-        path = result["path"]
-        if path.endswith(".xacro"):
-            result["format"] = "xacro"
-        elif path.endswith(".urdf"):
-            result["format"] = "urdf"
-        elif path.endswith(".stl"):
-            result["format"] = "stl"
-        elif path.endswith((".gltf", ".glb")):
-            result["format"] = "gltf"
-
-    # 将 children_mesh 扁平字段 → 结构化 children_mesh 对象
-    if "children_mesh" in result and isinstance(result["children_mesh"], str):
-        cm_path = result.pop("children_mesh")
-        cm_tf = result.pop("children_mesh_tf", None)
-        cm_oss = result.pop("children_mesh_path", None)
-        result["children_mesh"] = {
-            "path": cm_oss or cm_path,
-            "format": "stl" if cm_path.endswith(".stl") else "gltf",
-            "default_visible": True,
-        }
-        if cm_tf and len(cm_tf) >= 3:
-            result["children_mesh"]["local_offset"] = cm_tf[:3]
-        if cm_tf and len(cm_tf) >= 6:
-            result["children_mesh"]["local_rotation"] = cm_tf[3:6]
-
-    return result
-
-
 def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[Tuple[Dict[str, Any], Dict[str, Any]]]:
     """
     注册设备和资源到服务器（仅支持HTTP）
@@ -58,18 +16,11 @@ def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[
 
     devices_to_register = {}
     for device_info in lab_registry.obtain_registry_device_info():
-        normalized = _normalize_device(device_info)
-        # 标准化 model 字段
-        if normalized.get("model"):
-            normalized["model"] = normalize_model_for_upload(normalized["model"])
-        devices_to_register[device_info["id"]] = normalized
+        devices_to_register[device_info["id"]] = _normalize_device(device_info)
         logger.trace(f"[UniLab Register] 收集设备: {device_info['id']}")
 
     resources_to_register = {}
     for resource_info in lab_registry.obtain_registry_resource_info():
-        # 标准化 model 字段
-        if resource_info.get("model"):
-            resource_info["model"] = normalize_model_for_upload(resource_info["model"])
         resources_to_register[resource_info["id"]] = resource_info
         logger.trace(f"[UniLab Register] 收集资源: {resource_info['id']}")
 

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}"},
@@ -468,63 +476,6 @@ class HTTPClient:
             logger.error(f"发布工作流失败: {response.status_code}, {response.text}")
             return {"code": response.status_code, "message": response.text}
 
-    # ──────────────────── 模型资产管理 ────────────────────
-
-    def get_model_upload_urls(
-        self, template_uuid: str, files: list[dict],
-    ) -> dict | None:
-        """获取模型文件预签名上传 URL。
-
-        Args:
-            template_uuid: 设备模板 UUID
-            files: 文件列表 [{"name": "...", "version": "1.0.0"}]
-
-        Returns:
-            {"files": [{"name": "...", "upload_url": "...", "path": "..."}]}
-        """
-        try:
-            response = requests.post(
-                f"{self.remote_addr}/lab/square/template/{template_uuid}/model/upload-urls",
-                json={"files": files},
-                headers={"Authorization": f"Lab {self.auth}"},
-                timeout=30,
-            )
-            if response.status_code == 200:
-                data = response.json().get("data")
-                return data
-            logger.error(f"获取模型上传 URL 失败: {response.status_code}, {response.text}")
-        except Exception as e:
-            logger.error(f"获取模型上传 URL 异常: {e}")
-        return None
-
-    def publish_model(
-        self, template_uuid: str, version: str, entry_file: str,
-    ) -> dict | None:
-        """确认模型上传完成，发布新版本。
-
-        Args:
-            template_uuid: 设备模板 UUID
-            version: 模型版本
-            entry_file: 入口文件名
-
-        Returns:
-            {"path": "...", "oss_dir": "...", "version": "..."}
-        """
-        try:
-            response = requests.post(
-                f"{self.remote_addr}/lab/square/template/{template_uuid}/model/publish",
-                json={"version": version, "entry_file": entry_file},
-                headers={"Authorization": f"Lab {self.auth}"},
-                timeout=30,
-            )
-            if response.status_code == 200:
-                data = response.json().get("data")
-                return data
-            logger.error(f"发布模型失败: {response.status_code}, {response.text}")
-        except Exception as e:
-            logger.error(f"发布模型异常: {e}")
-        return None
-
 
 # 创建默认客户端实例
 http_client = HTTPClient()

unilabos/app/ws_client.py

@@ -754,6 +754,32 @@ class MessageProcessor:
             req = JobAddReq(**data)
 
             job_log = format_job_log(req.job_id, req.task_id, req.device_id, req.action)
+
+            # 服务端对always_free动作可能跳过query_action_state直接发job_start，
+            # 此时job尚未注册，需要自动补注册
+            existing_job = self.device_manager.get_job_info(req.job_id)
+            if not existing_job:
+                action_name = req.action
+                device_action_key = f"/devices/{req.device_id}/{action_name}"
+                action_always_free = self._check_action_always_free(req.device_id, action_name)
+
+                if action_always_free:
+                    job_info = JobInfo(
+                        job_id=req.job_id,
+                        task_id=req.task_id,
+                        device_id=req.device_id,
+                        action_name=action_name,
+                        device_action_key=device_action_key,
+                        status=JobStatus.QUEUE,
+                        start_time=time.time(),
+                        always_free=True,
+                    )
+                    self.device_manager.add_queue_request(job_info)
+                    logger.info(f"[MessageProcessor] Job {job_log} always_free, auto-registered from direct job_start")
+                else:
+                    logger.error(f"[MessageProcessor] Job {job_log} not registered (missing query_action_state)")
+                    return
+
             success = self.device_manager.start_job(req.job_id)
             if not success:
                 logger.error(f"[MessageProcessor] Failed to start job {job_log}")
@@ -1087,7 +1113,7 @@ class MessageProcessor:
                 "task_id": task_id,
                 "job_id": job_id,
                 "free": free,
-                "need_more": need_more,
+                "need_more": need_more + 1,
             },
         }
 
@@ -1227,7 +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)
@@ -1243,7 +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，
@@ -1260,7 +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)
@@ -1343,6 +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)
@@ -1434,21 +1470,6 @@ class WebSocketClient(BaseCommunicationClient):
         self.message_processor.send_message(message)
         # logger.trace(f"[WebSocketClient] Device status published: {device_id}.{property_name}")
 
-    def publish_joint_state(self, node_uuid: str, joint_states: dict, resource_poses: dict = None) -> None:
-        """发布高频关节状态（push_joint_state，不写 DB）"""
-        if self.is_disabled or not self.is_connected():
-            return
-
-        message = {
-            "action": "push_joint_state",
-            "data": {
-                "node_uuid": node_uuid,
-                "joint_states": joint_states or {},
-                "resource_poses": resource_poses or {},
-            },
-        }
-        self.message_processor.send_message(message)
-
     def publish_job_status(
         self, feedback_data: dict, item: QueueItem, status: str, return_info: Optional[dict] = None
     ) -> None:
@@ -1457,22 +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": {
@@ -1488,7 +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/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_sample_demo.py

@@ -57,7 +57,7 @@ class VirtualSampleDemo:
                 readings.append(round(random.uniform(0.1, 1.0), 4))
                 samples.append(idx)
 
-        return {"volumes": out_volumes, "readings": readings, "samples": samples}
+        return {"volumes": out_volumes, "readings": readings, "unilabos_samples": samples}
 
     # ------------------------------------------------------------------
     # Action 3: 入参和出参都带 samples 列（不等长）
@@ -78,7 +78,7 @@ class VirtualSampleDemo:
             scores.append(score)
             passed.append(r >= threshold)
 
-        return {"scores": scores, "passed": passed, "samples": samples}
+        return {"scores": scores, "passed": passed, "unilabos_samples": samples}
 
     # ------------------------------------------------------------------
     # 状态属性

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/registry/ast_registry_scanner.py

@@ -679,14 +679,17 @@ def _resolve_name(name: str, import_map: Dict[str, str]) -> str:
     return name
 
 
+_DECORATOR_ENUM_CLASSES = frozenset({"Side", "DataSource", "NodeType"})
+
+
 def _resolve_attribute(node: ast.Attribute, import_map: Dict[str, str]) -> str:
     """
     Resolve an attribute access like Side.NORTH or DataSource.HANDLE.
 
-    Returns a string like "NORTH" for enum values, or
-    "module.path:Class.attr" for imported references.
+    对于来自 ``unilabos.registry.decorators`` 的枚举类 (Side / DataSource / NodeType)，
+    直接返回枚举成员名 (如 ``"NORTH"`` / ``"HANDLE"`` / ``"MANUAL_CONFIRM"``)，
+    省去消费端二次 rsplit 解析。其它 import 仍返回完整模块路径。
     """
-    # Get the full dotted path
     parts = []
     current = node
     while isinstance(current, ast.Attribute):
@@ -696,21 +699,20 @@ def _resolve_attribute(node: ast.Attribute, import_map: Dict[str, str]) -> str:
         parts.append(current.id)
 
     parts.reverse()
-    # parts = ["Side", "NORTH"] or ["DataSource", "HANDLE"]
+    # parts = ["Side", "NORTH"] or ["DataSource", "HANDLE"] or ["NodeType", "MANUAL_CONFIRM"]
 
     if len(parts) >= 2:
         base = parts[0]
         attr = ".".join(parts[1:])
 
-        # If the base is an imported name, resolve it
+        if base in _DECORATOR_ENUM_CLASSES:
+            source = import_map.get(base, "")
+            if not source or _REGISTRY_DECORATOR_MODULE in source:
+                return parts[-1]
+
         if base in import_map:
             return f"{import_map[base]}.{attr}"
 
-        # For known enum-like patterns, return just the value
-        # e.g. Side.NORTH -> "NORTH"
-        if base in ("Side", "DataSource"):
-            return parts[-1]
-
     return ".".join(parts)
 
 
@@ -823,6 +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

@@ -8,7 +8,7 @@ Usage:
         device, action, resource,
         InputHandle, OutputHandle,
         ActionInputHandle, ActionOutputHandle,
-        HardwareInterface, Side, DataSource,
+        HardwareInterface, Side, DataSource, NodeType,
     )
 
     @device(
@@ -73,6 +73,13 @@ class DataSource(str, Enum):
     EXECUTOR = "executor"  # 从执行器输出数据 (用于 OutputHandle)
 
 
+class NodeType(str, Enum):
+    """动作的节点类型（用于区分 ILab 节点和人工确认节点等）"""
+
+    ILAB = "ILab"
+    MANUAL_CONFIRM = "manual_confirm"
+
+
 # ---------------------------------------------------------------------------
 # Device / Resource Handle (设备/资源级别端口, 序列化时包含 io_type)
 # ---------------------------------------------------------------------------
@@ -335,6 +342,8 @@ def action(
     description: str = "",
     auto_prefix: bool = False,
     parent: bool = False,
+    node_type: Optional["NodeType"] = None,
+    feedback_interval: Optional[float] = None,
 ):
     """
     动作方法装饰器
@@ -365,12 +374,21 @@ def action(
         description: 动作描述
         auto_prefix: 若为 True，动作名使用 auto-{method_name} 形式（与无 @action 时一致）
         parent: 若为 True，当方法参数为空 (*args, **kwargs) 时，通过 MRO 从父类获取真实方法参数
+        node_type: 动作的节点类型 (NodeType.ILAB / NodeType.MANUAL_CONFIRM)。
+                   不填写时不写入注册表。
     """
 
     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
@@ -389,6 +407,10 @@ 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]
 
         # 设置 _is_always_free 保持与旧 @always_free 装饰器兼容
@@ -515,6 +537,38 @@ def clear_registry():
     _registered_resources.clear()
 
 
+# ---------------------------------------------------------------------------
+# 枚举值归一化
+# ---------------------------------------------------------------------------
+
+
+def normalize_enum_value(raw: Any, enum_cls) -> Optional[str]:
+    """将 AST 提取的枚举成员名 / YAML 值字符串 / 旧格式长路径统一归一化为枚举值。
+
+    适用于 Side、DataSource、NodeType 等继承自 ``str, Enum`` 的装饰器枚举。
+
+    处理以下格式:
+      - "MANUAL_CONFIRM"  →  NodeType["MANUAL_CONFIRM"].value = "manual_confirm"
+      - "manual_confirm"  →  NodeType("manual_confirm").value = "manual_confirm"
+      - "HANDLE"          →  DataSource["HANDLE"].value = "handle"
+      - "NORTH"           →  Side["NORTH"].value = "NORTH"
+      - 旧缓存长路径 "unilabos...NodeType.MANUAL_CONFIRM" → 先 rsplit 再查找
+    """
+    if not raw:
+        return None
+    raw_str = str(raw)
+    if "." in raw_str:
+        raw_str = raw_str.rsplit(".", 1)[-1]
+    try:
+        return enum_cls[raw_str].value
+    except KeyError:
+        pass
+    try:
+        return enum_cls(raw_str).value
+    except ValueError:
+        return raw_str
+
+
 # ---------------------------------------------------------------------------
 # topic_config / not_action / always_free 装饰器
 # ---------------------------------------------------------------------------

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/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

@@ -2815,8 +2815,8 @@ virtual_sample_demo:
           readings: readings
           samples: samples
         goal_default:
-          readings: []
-          samples: []
+          readings: null
+          samples: null
         handles:
           input:
           - data_key: readings
@@ -2846,18 +2846,12 @@ virtual_sample_demo:
             handler_key: samples_result_out
             label: 样品索引
         placeholder_keys: {}
-        result:
-          passed: passed
-          samples: samples
-          scores: scores
+        result: {}
         schema:
           description: 对 split_and_measure 输出做二次分析，入参和出参都带 samples 列
           properties:
             feedback:
-              properties: {}
-              required: []
               title: AnalyzeReadings_Feedback
-              type: object
             goal:
               properties:
                 readings:
@@ -2876,52 +2870,11 @@ virtual_sample_demo:
               title: AnalyzeReadings_Goal
               type: object
             result:
-              properties:
-                passed:
-                  description: 是否通过阈值
-                  items:
-                    type: boolean
-                  type: array
-                samples:
-                  description: 每行归属的输入样品 index (0-based)
-                  items:
-                    type: integer
-                  type: array
-                scores:
-                  description: 分析得分
-                  items:
-                    type: number
-                  type: array
-              required:
-              - scores
-              - passed
-              - samples
               title: AnalyzeReadings_Result
               type: object
           required:
           - goal
-          title: AnalyzeReadings
-          type: object
-        type: UniLabJsonCommandAsync
-      auto-cleanup:
-        feedback: {}
-        goal: {}
-        goal_default: {}
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: cleanup的参数schema
-          properties:
-            feedback: {}
-            goal:
-              properties: {}
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: cleanup参数
+          title: analyze_readings参数
           type: object
         type: UniLabJsonCommandAsync
       measure_samples:
@@ -2929,7 +2882,7 @@ virtual_sample_demo:
         goal:
           concentrations: concentrations
         goal_default:
-          concentrations: []
+          concentrations: null
         handles:
           output:
           - data_key: concentrations
@@ -2943,17 +2896,12 @@ virtual_sample_demo:
             handler_key: absorbance_out
             label: 吸光度列表
         placeholder_keys: {}
-        result:
-          absorbance: absorbance
-          concentrations: concentrations
+        result: {}
         schema:
           description: 模拟光度测量，入参出参等长
           properties:
             feedback:
-              properties: {}
-              required: []
               title: MeasureSamples_Feedback
-              type: object
             goal:
               properties:
                 concentrations:
@@ -2966,25 +2914,11 @@ virtual_sample_demo:
               title: MeasureSamples_Goal
               type: object
             result:
-              properties:
-                absorbance:
-                  description: 吸光度列表（与浓度等长）
-                  items:
-                    type: number
-                  type: array
-                concentrations:
-                  description: 原始浓度列表
-                  items:
-                    type: number
-                  type: array
-              required:
-              - concentrations
-              - absorbance
               title: MeasureSamples_Result
               type: object
           required:
           - goal
-          title: MeasureSamples
+          title: measure_samples参数
           type: object
         type: UniLabJsonCommandAsync
       split_and_measure:
@@ -2994,7 +2928,7 @@ virtual_sample_demo:
           volumes: volumes
         goal_default:
           split_count: 3
-          volumes: []
+          volumes: null
         handles:
           output:
           - data_key: readings
@@ -3013,21 +2947,16 @@ virtual_sample_demo:
             handler_key: volumes_out
             label: 均分体积
         placeholder_keys: {}
-        result:
-          readings: readings
-          samples: samples
-          volumes: volumes
+        result: {}
         schema:
           description: 均分样品后逐份测量，输出带 samples 列标注归属
           properties:
             feedback:
-              properties: {}
-              required: []
               title: SplitAndMeasure_Feedback
-              type: object
             goal:
               properties:
                 split_count:
+                  default: 3
                   description: 每个样品均分的份数
                   type: integer
                 volumes:
@@ -3040,31 +2969,11 @@ virtual_sample_demo:
               title: SplitAndMeasure_Goal
               type: object
             result:
-              properties:
-                readings:
-                  description: 测量读数
-                  items:
-                    type: number
-                  type: array
-                samples:
-                  description: 每行归属的输入样品 index (0-based)
-                  items:
-                    type: integer
-                  type: array
-                volumes:
-                  description: 均分后的体积列表
-                  items:
-                    type: number
-                  type: array
-              required:
-              - volumes
-              - readings
-              - samples
               title: SplitAndMeasure_Result
               type: object
           required:
           - goal
-          title: SplitAndMeasure
+          title: split_and_measure参数
           type: object
         type: UniLabJsonCommandAsync
     module: unilabos.devices.virtual.virtual_sample_demo:VirtualSampleDemo
@@ -3079,7 +2988,7 @@ virtual_sample_demo:
     config:
       properties:
         config:
-          type: string
+          type: object
         device_id:
           type: string
       required: []
@@ -4051,6 +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

@@ -33,6 +33,8 @@ from unilabos.registry.decorators import (
     is_not_action,
     is_always_free,
     get_topic_config,
+    NodeType,
+    normalize_enum_value,
 )
 from unilabos.registry.utils import (
     ROSMsgNotFound,
@@ -159,9 +161,10 @@ class Registry:
         ast_entry = self.device_type_registry.get("host_node", {})
         ast_actions = ast_entry.get("class", {}).get("action_value_mappings", {})
 
-        # 取出 AST 生成的 auto-method entries, 补充特定覆写
+        # 取出 AST 生成的 action entries, 补充特定覆写
         test_latency_action = ast_actions.get("auto-test_latency", {})
         test_resource_action = ast_actions.get("auto-test_resource", {})
+        manual_confirm_action = ast_actions.get("manual_confirm", {})
         test_resource_action["handles"] = {
             "input": [
                 {
@@ -234,9 +237,12 @@ class Registry:
                             "parent": "unilabos_nodes",
                             "class_name": "unilabos_class",
                         },
+                        "always_free": True,
+                        "feedback_interval": 300.0,
                     },
                     "test_latency": test_latency_action,
                     "auto-test_resource": test_resource_action,
+                    "manual_confirm": manual_confirm_action,
                 },
                 "init_params": {},
             },
@@ -824,8 +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
@@ -847,6 +854,11 @@ 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
             return action_name, entry
 
         # 1) auto- actions
@@ -967,10 +979,15 @@ 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
             action_value_mappings[action_name] = action_entry
 
         action_value_mappings = dict(sorted(action_value_mappings.items()))
@@ -1153,7 +1170,7 @@ class Registry:
             return Path(BasicConfig.working_dir) / "registry_cache.pkl"
         return None
 
-    _CACHE_VERSION = 3
+    _CACHE_VERSION = 4
 
     def _load_config_cache(self) -> dict:
         import pickle
@@ -1878,6 +1895,9 @@ class Registry:
                         }
                         if v.get("always_free"):
                             entry["always_free"] = True
+                        old_node_type = old_cfg.get("node_type")
+                        if old_node_type in [NodeType.ILAB.value, NodeType.MANUAL_CONFIRM.value]:
+                            entry["node_type"] = old_node_type
                         device_config["class"]["action_value_mappings"][action_key] = entry
 
                     device_config["init_param_schema"] = {}

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

unilabos/registry/resources/opentrons/plates.yaml

@@ -109,7 +109,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
   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
@@ -125,7 +125,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
     - -1.5708
     - 0
     - 1.5708
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
     type: resource
   version: 1.0.0
 nest_96_wellplate_200ul_flat:
@@ -158,7 +158,7 @@ nest_96_wellplate_2ml_deep:
     - -1.5708
     - 0
     - 1.5708
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
     type: resource
   version: 1.0.0
 thermoscientificnunc_96_wellplate_1300ul:

unilabos/registry/resources/opentrons/tip_racks.yaml

@@ -69,7 +69,7 @@ opentrons_96_filtertiprack_1000ul:
     - -1.5708
     - 0
     - 1.5708
-    path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
+    path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
     type: resource
   version: 1.0.0
 opentrons_96_filtertiprack_10ul:

unilabos/registry/utils.py

@@ -17,6 +17,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union
 from msgcenterpy.instances.typed_dict_instance import TypedDictMessageInstance
 
 from unilabos.utils.cls_creator import import_class
+from unilabos.registry.decorators import Side, DataSource, normalize_enum_value
 
 _logger = logging.getLogger(__name__)
 
@@ -487,10 +488,7 @@ def normalize_ast_handles(handles_raw: Any) -> List[Dict[str, Any]]:
             }
             side = h.get("side")
             if side:
-                if isinstance(side, str) and "." in side:
-                    val = side.rsplit(".", 1)[-1]
-                    side = val.lower() if val in ("LEFT", "RIGHT", "TOP", "BOTTOM") else val
-                entry["side"] = side
+                entry["side"] = normalize_enum_value(side, Side) or side
             label = h.get("label")
             if label:
                 entry["label"] = label
@@ -499,10 +497,7 @@ def normalize_ast_handles(handles_raw: Any) -> List[Dict[str, Any]]:
                 entry["data_key"] = data_key
             data_source = h.get("data_source")
             if data_source:
-                if isinstance(data_source, str) and "." in data_source:
-                    val = data_source.rsplit(".", 1)[-1]
-                    data_source = val.lower() if val in ("HANDLE", "EXECUTOR") else val
-                entry["data_source"] = data_source
+                entry["data_source"] = normalize_enum_value(data_source, DataSource) or data_source
             description = h.get("description")
             if description:
                 entry["description"] = description
@@ -537,17 +532,12 @@ def normalize_ast_action_handles(handles_raw: Any) -> Dict[str, Any]:
             "data_type": h.get("data_type", ""),
             "label": h.get("label", ""),
         }
+        _FIELD_ENUM_MAP = {"side": Side, "data_source": DataSource}
         for opt_key in ("side", "data_key", "data_source", "description", "io_type"):
             val = h.get(opt_key)
             if val is not None:
-                # Only resolve enum-style refs (e.g. DataSource.HANDLE -> handle) for data_source/side
-                # data_key values like "wells.@flatten", "@this.0@@@plate" must be preserved as-is
-                if (
-                    isinstance(val, str)
-                    and "." in val
-                    and opt_key not in ("io_type", "data_key")
-                ):
-                    val = val.rsplit(".", 1)[-1].lower()
+                if opt_key in _FIELD_ENUM_MAP:
+                    val = normalize_enum_value(val, _FIELD_ENUM_MAP[opt_key]) or val
                 entry[opt_key] = val
 
         # io_type: only add when explicitly set; do not default output to "sink" (YAML convention omits it)

unilabos/resources/graphio.py

@@ -42,7 +42,7 @@ def canonicalize_nodes_data(
     Returns:
         ResourceTreeSet: 标准化后的资源树集合
     """
-    print_status(f"{len(nodes)} Resources loaded", "info")
+    print_status(f"{len(nodes)} Resources loaded:", "info")
 
     # 第一步：基本预处理（处理graphml的label字段）
     outer_host_node_id = None
@@ -1033,7 +1033,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
                     logger.debug(f"🔍 [PLR→Bioyond] detail转换: {bottle.name} → PLR(x={site['x']},y={site['y']},id={site.get('identifier','?')}) → Bioyond(x={bioyond_x},y={bioyond_y})")
 
                     # 🔥 提取物料名称：从 tracker.liquids 中获取第一个液体的名称（去除PLR系统添加的后缀）
-                    # tracker.liquids 格式: [(物料名称, 数量), ...]
+                    # tracker.liquids 格式: [(物料名称, 数量, 单位), ...]
                     material_name = bottle_type_info[0]  # 默认使用类型名称（如"样品瓶"）
                     if hasattr(bottle, "tracker") and bottle.tracker.liquids:
                         # 如果有液体，使用液体的名称
@@ -1051,7 +1051,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
                         "typeId": bottle_type_info[1],
                         "code": bottle.code if hasattr(bottle, "code") else "",
                         "name": material_name,  # 使用物料名称（如"9090"），而不是类型名称（"样品瓶"）
-                        "quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
+                        "quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
                         "x": bioyond_x,
                         "y": bioyond_y,
                         "z": 1,
@@ -1124,7 +1124,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
                 "barCode": "",
                 "name": material_name,  # 使用物料名称而不是资源名称
                 "unit": default_unit,  # 使用配置的单位或默认单位
-                "quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
+                "quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
                 "Parameters": parameters_json  # API 实际要求的字段（必需）
             }
 

unilabos/ros/main_slave_run.py

@@ -1,4 +1,5 @@
 import json
+import os
 
 # from nt import device_encoding
 import threading
@@ -61,7 +62,7 @@ def main(
         rclpy.init(args=rclpy_init_args)
     else:
         logger.info("[ROS] rclpy already initialized, reusing context")
-    executor = rclpy.__executor = MultiThreadedExecutor()
+    executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
     # 创建主机节点
     host_node = HostNode(
         "host_node",
@@ -122,7 +123,7 @@ def slave(
         rclpy.init(args=rclpy_init_args)
     executor = rclpy.__executor
     if not executor:
-        executor = rclpy.__executor = MultiThreadedExecutor()
+        executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
 
     # 1.5 启动 executor 线程
     thread = threading.Thread(target=executor.spin, daemon=True, name="slave_executor_thread")

unilabos/ros/nodes/base_device_node.py

@@ -4,6 +4,8 @@ import json
 import threading
 import time
 import traceback
+
+from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
 from typing import (
     get_type_hints,
     TypeVar,
@@ -78,6 +80,67 @@ if TYPE_CHECKING:
 T = TypeVar("T")
 
 
+class RclpyAsyncMutex:
+    """rclpy executor 兼容的异步互斥锁
+
+    通过 executor.create_task 唤醒等待者，避免 timer 的 InvalidHandle 问题。
+    """
+
+    def __init__(self, name: str = ""):
+        self._lock = threading.Lock()
+        self._acquired = False
+        self._queue: List[Future] = []
+        self._name = name
+        self._holder: Optional[str] = None
+
+    async def acquire(self, node: "BaseROS2DeviceNode", tag: str = ""):
+        """获取锁。如果已被占用，则异步等待直到锁释放。"""
+        # t0 = time.time()
+        with self._lock:
+            # qlen = len(self._queue)
+            if not self._acquired:
+                self._acquired = True
+                self._holder = tag
+                # node.lab_logger().debug(
+                #     f"[Mutex:{self._name}] 获取锁 tag={tag} (无等待, queue=0)"
+                # )
+                return
+            waiter = Future()
+            self._queue.append(waiter)
+            # node.lab_logger().info(
+            #     f"[Mutex:{self._name}] 等待锁 tag={tag} "
+            #     f"(holder={self._holder}, queue={qlen + 1})"
+            # )
+        await waiter
+        # wait_ms = (time.time() - t0) * 1000
+        self._holder = tag
+        # node.lab_logger().info(
+        #     f"[Mutex:{self._name}] 获取锁 tag={tag} (等了 {wait_ms:.0f}ms)"
+        # )
+
+    def release(self, node: "BaseROS2DeviceNode"):
+        """释放锁，通过 executor task 唤醒下一个等待者。"""
+        with self._lock:
+            # old_holder = self._holder
+            if self._queue:
+                next_waiter = self._queue.pop(0)
+                # node.lab_logger().debug(
+                #     f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 唤醒下一个 (剩余 queue={len(self._queue)})"
+                # )
+
+                async def _wake():
+                    if not next_waiter.done():
+                        next_waiter.set_result(None)
+
+                rclpy.get_global_executor().create_task(_wake())
+            else:
+                self._acquired = False
+                self._holder = None
+                # node.lab_logger().debug(
+                #     f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 空闲"
+                # )
+
+
 # 在线设备注册表
 registered_devices: Dict[str, "DeviceInfoType"] = {}
 
@@ -355,6 +418,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             max_workers=max(len(action_value_mappings), 1), thread_name_prefix=f"ROSDevice{self.device_id}"
         )
 
+        self._append_resource_lock = RclpyAsyncMutex(name=f"AR:{device_id}")
+
         # 创建资源管理客户端
         self._resource_clients: Dict[str, Client] = {
             "resource_add": self.create_client(ResourceAdd, "/resources/add", callback_group=self.callback_group),
@@ -378,15 +443,40 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             return res
 
         async def append_resource(req: SerialCommand_Request, res: SerialCommand_Response):
+            _cmd = _fast_loads(req.command)
+            _res_name = _cmd.get("resource", [{}])
+            _res_name = (_res_name[0].get("id", "?") if isinstance(_res_name, list) and _res_name
+                         else _res_name.get("id", "?") if isinstance(_res_name, dict) else "?")
+            _ar_tag = f"{_res_name}"
+            # _t_enter = time.time()
+            # self.lab_logger().info(f"[AR:{_ar_tag}] 进入 append_resource")
+            await self._append_resource_lock.acquire(self, tag=_ar_tag)
+            # _t_locked = time.time()
+            try:
+                return await _append_resource_inner(req, res, _ar_tag)
+                # _t_done = time.time()
+                # self.lab_logger().info(
+                #     f"[AR:{_ar_tag}] 完成 "
+                #     f"等锁={(_t_locked - _t_enter) * 1000:.0f}ms "
+                #     f"执行={(_t_done - _t_locked) * 1000:.0f}ms "
+                #     f"总计={(_t_done - _t_enter) * 1000:.0f}ms"
+                # )
+            except Exception as _ex:
+                self.lab_logger().error(f"[AR:{_ar_tag}] 异常: {_ex}")
+                raise
+            finally:
+                self._append_resource_lock.release(self)
+
+        async def _append_resource_inner(req: SerialCommand_Request, res: SerialCommand_Response, _ar_tag: str = ""):
             from pylabrobot.resources.deck import Deck
             from pylabrobot.resources import Coordinate
             from pylabrobot.resources import Plate
 
-            # 物料传输到对应的node节点
+            # _t0 = time.time()
             client = self._resource_clients["c2s_update_resource_tree"]
             request = SerialCommand.Request()
             request2 = SerialCommand.Request()
-            command_json = json.loads(req.command)
+            command_json = _fast_loads(req.command)
             namespace = command_json["namespace"]
             bind_parent_id = command_json["bind_parent_id"]
             edge_device_id = command_json["edge_device_id"]
@@ -439,7 +529,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                             f"更新物料{container_instance.name}出现不支持的数据类型{type(found_resource)} {found_resource}"
                         )
             # noinspection PyUnresolvedReferences
-            request.command = json.dumps(
+            # _t1 = time.time()
+            # self.lab_logger().debug(
+            #     f"[AR:{_ar_tag}] 准备完成 PLR转换+序列化 {((_t1 - _t0) * 1000):.0f}ms, 发送首次上传..."
+            # )
+            request.command = _fast_dumps_str(
                 {
                     "action": "add",
                     "data": {
@@ -450,7 +544,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                 }
             )
             tree_response: SerialCommand.Response = await client.call_async(request)
-            uuid_maps = json.loads(tree_response.response)
+            # _t2 = time.time()
+            # self.lab_logger().debug(
+            #     f"[AR:{_ar_tag}] 首次上传完成 {((_t2 - _t1) * 1000):.0f}ms"
+            # )
+            uuid_maps = _fast_loads(tree_response.response)
             plr_instances = rts.to_plr_resources()
             for plr_instance in plr_instances:
                 self.resource_tracker.loop_update_uuid(plr_instance, uuid_maps)
@@ -486,18 +584,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                 if len(rts.root_nodes) == 1 and parent_resource is not None:
                     plr_instance = plr_instances[0]
                     if isinstance(plr_instance, Plate):
-                        empty_liquid_info_in: List[Tuple[Optional[str], float]] = [(None, 0)] * plr_instance.num_items
                         if len(ADD_LIQUID_TYPE) == 1 and len(LIQUID_VOLUME) == 1 and len(LIQUID_INPUT_SLOT) > 1:
                             ADD_LIQUID_TYPE = ADD_LIQUID_TYPE * len(LIQUID_INPUT_SLOT)
                             LIQUID_VOLUME = LIQUID_VOLUME * len(LIQUID_INPUT_SLOT)
                             self.lab_logger().warning(
                                 f"增加液体资源时，数量为1，自动补全为 {len(LIQUID_INPUT_SLOT)} 个"
                             )
-                        for liquid_type, liquid_volume, liquid_input_slot in zip(
-                            ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
-                        ):
-                            empty_liquid_info_in[liquid_input_slot] = (liquid_type, liquid_volume)
-                        plr_instance.set_well_liquids(empty_liquid_info_in)
                         try:
                             # noinspection PyProtectedMember
                             keys = list(plr_instance._ordering.keys())
@@ -511,6 +603,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                             input_wells = []
                             for r in LIQUID_INPUT_SLOT:
                                 input_wells.append(plr_instance.children[r])
+                        for input_well, liquid_type, liquid_volume, liquid_input_slot in zip(
+                            input_wells, ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
+                        ):
+                            input_well.set_liquids([(liquid_type, liquid_volume, "ul")])
                         final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(
                             input_wells
                         ).dump()
@@ -529,12 +625,13 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                             Coordinate(location["x"], location["y"], location["z"]),
                             **other_calling_param,
                         )
-                    # 调整了液体以及Deck之后要重新Assign
                     # noinspection PyUnresolvedReferences
+                    # _t3 = time.time()
                     rts_with_parent = ResourceTreeSet.from_plr_resources([parent_resource])
+                    # _n_parent = len(rts_with_parent.all_nodes)
                     if rts_with_parent.root_nodes[0].res_content.uuid_parent is None:
                         rts_with_parent.root_nodes[0].res_content.parent_uuid = self.uuid
-                    request.command = json.dumps(
+                    request.command = _fast_dumps_str(
                         {
                             "action": "add",
                             "data": {
@@ -544,11 +641,18 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                             },
                         }
                     )
+                    # _t4 = time.time()
+                    # self.lab_logger().debug(
+                    #     f"[AR:{_ar_tag}] 二次上传序列化 {_n_parent}节点 {((_t4 - _t3) * 1000):.0f}ms, 发送中..."
+                    # )
                     tree_response: SerialCommand.Response = await client.call_async(request)
-                    uuid_maps = json.loads(tree_response.response)
+                    # _t5 = time.time()
+                    uuid_maps = _fast_loads(tree_response.response)
                     self.resource_tracker.loop_update_uuid(input_resources, uuid_maps)
-                    self._lab_logger.info(f"Resource tree added. UUID mapping: {len(uuid_maps)} nodes")
-                    # 这里created_resources不包含parent_resource
+                    # self._lab_logger.info(
+                    #     f"[AR:{_ar_tag}] 二次上传完成 HTTP={(_t5 - _t4) * 1000:.0f}ms "
+                    #     f"UUID映射={len(uuid_maps)}节点 总执行={(_t5 - _t0) * 1000:.0f}ms"
+                    # )
                 # 发送给ResourceMeshManager
                 action_client = ActionClient(
                     self,
@@ -685,7 +789,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
         )
         # 发送请求并等待响应
         response: SerialCommand_Response = await self._resource_clients["resource_get"].call_async(r)
+        if not response.response:
+            raise ValueError(f"查询资源 {resource_id} 失败：服务端返回空响应")
         raw_data = json.loads(response.response)
+        if not raw_data:
+            raise ValueError(f"查询资源 {resource_id} 失败：返回数据为空")
 
         # 转换为 PLR 资源
         tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -1134,7 +1242,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             if uid is None:
                 raise ValueError(f"目标物料{target_resource}没有unilabos_uuid属性，无法转运")
             target_uids.append(uid)
-        srv_address = f"/srv{target_device_id}/s2c_resource_tree"
+        _ns = target_device_id if target_device_id.startswith("/devices/") else f"/devices/{target_device_id.lstrip('/')}"
+        srv_address = f"/srv{_ns}/s2c_resource_tree"
         sclient = self.create_client(SerialCommand, srv_address)
         # 等待服务可用（设置超时）
         if not sclient.wait_for_service(timeout_sec=5.0):
@@ -1184,7 +1293,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                     return False
                 time.sleep(0.05)
             self.lab_logger().info(f"资源本地增加到{target_device_id}结果: {response.response}")
-        return None
+        return "转运完成"
 
     def register_device(self):
         """向注册表中注册设备信息"""
@@ -1256,9 +1365,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
         return self._lab_logger
 
     def create_ros_publisher(self, attr_name, msg_type, initial_period=5.0):
-        """创建ROS发布者，仅当方法/属性有 @topic_config 装饰器时才创建。"""
-        # 检测 @topic_config 装饰器配置
-        topic_config = {}
+        """创建ROS发布者。已在 status_types 中声明的属性直接创建；@topic_config 用于覆盖默认参数。"""
+        topic_cfg = {}
         driver_class = type(self.driver_instance)
 
         # 区分 @property 和普通方法两种情况
@@ -1267,23 +1375,17 @@ class BaseROS2DeviceNode(Node, Generic[T]):
         )
 
         if is_prop:
-            # @property: 检测 fget 上的 @topic_config
             class_attr = getattr(driver_class, attr_name)
             if class_attr.fget is not None:
-                topic_config = get_topic_config(class_attr.fget)
+                topic_cfg = get_topic_config(class_attr.fget)
         else:
-            # 普通方法: 直接检测 attr_name 方法上的 @topic_config
             if hasattr(self.driver_instance, attr_name):
                 method = getattr(self.driver_instance, attr_name)
                 if callable(method):
-                    topic_config = get_topic_config(method)
-
-        # 没有 @topic_config 装饰器则跳过发布
-        if not topic_config:
-            return
+                    topic_cfg = get_topic_config(method)
 
         # 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
-        cfg_name = topic_config.get("name")
+        cfg_name = topic_cfg.get("name")
         if cfg_name:
             publish_name = cfg_name
         elif attr_name.startswith("get_"):
@@ -1291,10 +1393,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
         else:
             publish_name = attr_name
 
-        # 使用装饰器配置或默认值
-        cfg_period = topic_config.get("period")
-        cfg_print = topic_config.get("print_publish")
-        cfg_qos = topic_config.get("qos")
+        # @topic_config 参数覆盖默认值
+        cfg_period = topic_cfg.get("period")
+        cfg_print = topic_cfg.get("print_publish")
+        cfg_qos = topic_cfg.get("qos")
         period: float = cfg_period if cfg_period is not None else initial_period
         print_publish: bool = cfg_print if cfg_print is not None else self._print_publish
         qos: int = cfg_qos if cfg_qos is not None else 10
@@ -1576,37 +1678,75 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             feedback_msg_types = action_type.Feedback.get_fields_and_field_types()
             result_msg_types = action_type.Result.get_fields_and_field_types()
 
-            while future is not None and not future.done():
-                if goal_handle.is_cancel_requested:
-                    self.lab_logger().info(f"取消动作: {action_name}")
-                    future.cancel()  # 尝试取消线程池中的任务
-                    goal_handle.canceled()
-                    return action_type.Result()
+            # 低频 feedback timer（10s），不阻塞完成检测
+            _feedback_timer = None
 
-                self._time_spent = time.time() - time_start
-                self._time_remaining = time_overall - self._time_spent
+            def _publish_feedback():
+                if future is not None and not future.done():
+                    self._time_spent = time.time() - time_start
+                    self._time_remaining = time_overall - self._time_spent
+                    feedback_values = {}
+                    for msg_name, attr_name in action_value_mapping["feedback"].items():
+                        if hasattr(self.driver_instance, f"get_{attr_name}"):
+                            method = getattr(self.driver_instance, f"get_{attr_name}")
+                            if not asyncio.iscoroutinefunction(method):
+                                feedback_values[msg_name] = method()
+                        elif hasattr(self.driver_instance, attr_name):
+                            feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
+                    if self._print_publish:
+                        self.lab_logger().info(f"反馈: {feedback_values}")
+                    feedback_msg = convert_to_ros_msg_with_mapping(
+                        ros_msg_type=action_type.Feedback(),
+                        obj=feedback_values,
+                        value_mapping=action_value_mapping["feedback"],
+                    )
+                    goal_handle.publish_feedback(feedback_msg)
 
-                # 发布反馈
-                feedback_values = {}
-                for msg_name, attr_name in action_value_mapping["feedback"].items():
-                    if hasattr(self.driver_instance, f"get_{attr_name}"):
-                        method = getattr(self.driver_instance, f"get_{attr_name}")
-                        if not asyncio.iscoroutinefunction(method):
-                            feedback_values[msg_name] = method()
-                    elif hasattr(self.driver_instance, attr_name):
-                        feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
-
-                if self._print_publish:
-                    self.lab_logger().info(f"反馈: {feedback_values}")
-
-                feedback_msg = convert_to_ros_msg_with_mapping(
-                    ros_msg_type=action_type.Feedback(),
-                    obj=feedback_values,
-                    value_mapping=action_value_mapping["feedback"],
+            if action_value_mapping.get("feedback"):
+                _fb_interval = action_value_mapping.get("feedback_interval", 0.5)
+                _feedback_timer = self.create_timer(
+                    _fb_interval, _publish_feedback, callback_group=self.callback_group
                 )
 
-                goal_handle.publish_feedback(feedback_msg)
-                time.sleep(0.5)
+            # 等待 action 完成
+            if future is not None:
+                if isinstance(future, Task):
+                    # rclpy Task：直接 await，完成瞬间唤醒
+                    try:
+                        _raw_result = await future
+                    except Exception as e:
+                        _raw_result = e
+                else:
+                    # concurrent.futures.Future（同步 action）：用 rclpy 兼容的轮询
+                    _poll_future = Future()
+
+                    def _on_sync_done(fut):
+                        if not _poll_future.done():
+                            _poll_future.set_result(None)
+
+                    future.add_done_callback(_on_sync_done)
+                    await _poll_future
+                    try:
+                        _raw_result = future.result()
+                    except Exception as e:
+                        _raw_result = e
+
+                # 确保 execution_error/success 被正确设置（不依赖 done callback 时序）
+                if isinstance(_raw_result, BaseException):
+                    if not execution_error:
+                        execution_error = traceback.format_exception(
+                            type(_raw_result), _raw_result, _raw_result.__traceback__
+                        )
+                        execution_error = "".join(execution_error)
+                    execution_success = False
+                    action_return_value = _raw_result
+                elif not execution_error:
+                    execution_success = True
+                    action_return_value = _raw_result
+
+            # 清理 feedback timer
+            if _feedback_timer is not None:
+                _feedback_timer.cancel()
 
             if future is not None and future.cancelled():
                 self.lab_logger().info(f"动作 {action_name} 已取消")
@@ -1615,8 +1755,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             # self.lab_logger().info(f"动作执行完成: {action_name}")
             del future
 
+            # 执行失败时跳过物料状态更新
+            if execution_error:
+                execution_success = False
+
             # 向Host更新物料当前状态
-            if action_name not in ["create_resource_detailed", "create_resource"]:
+            if not execution_error and action_name not in ["create_resource_detailed", "create_resource"]:
                 for k, v in goal.get_fields_and_field_types().items():
                     if v not in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
                         continue
@@ -1672,7 +1816,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
 
             for attr_name in result_msg_types.keys():
                 if attr_name in ["success", "reached_goal"]:
-                    setattr(result_msg, attr_name, True)
+                    setattr(result_msg, attr_name, execution_success)
                 elif attr_name == "return_info":
                     setattr(
                         result_msg,
@@ -1778,7 +1922,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             raise ValueError("至少需要提供一个 UUID")
 
         uuids_list = list(uuids)
-        future = self._resource_clients["c2s_update_resource_tree"].call_async(
+        future: Future = self._resource_clients["c2s_update_resource_tree"].call_async(
             SerialCommand.Request(
                 command=json.dumps(
                     {
@@ -1804,6 +1948,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             raise Exception(f"资源查询返回空结果: {uuids_list}")
 
         raw_data = json.loads(response.response)
+        if not raw_data:
+            raise Exception(f"资源原始查询返回空结果: {raw_data}")
 
         # 转换为 PLR 资源
         tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -1825,10 +1971,15 @@ class BaseROS2DeviceNode(Node, Generic[T]):
 
         mapped_plr_resources = []
         for uuid in uuids_list:
+            found = None
             for plr_resource in figured_resources:
                 r = self.resource_tracker.loop_find_with_uuid(plr_resource, uuid)
-                mapped_plr_resources.append(r)
-                break
+                if r is not None:
+                    found = r
+                    break
+            if found is None:
+                raise Exception(f"未能在已解析的资源树中找到 uuid={uuid} 对应的资源")
+            mapped_plr_resources.append(found)
 
         return mapped_plr_resources
 
@@ -1921,16 +2072,27 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                 f"执行动作时JSON缺少function_name或function_args: {ex}\n原JSON: {string}\n{traceback.format_exc()}"
             )
 
-    async def _convert_resource_async(self, resource_data: Dict[str, Any]):
-        """异步转换资源数据为实例"""
-        # 使用封装的get_resource_with_dir方法获取PLR资源
-        plr_resource = await self.get_resource_with_dir(resource_ids=resource_data["id"], with_children=True)
+    async def _convert_resource_async(self, resource_data: "ResourceDictType"):
+        """异步转换 ResourceDictType 为 PLR 实例，优先用 uuid 查询"""
+        unilabos_uuid = resource_data.get("uuid")
+
+        if unilabos_uuid:
+            resource_tree = await self.get_resource([unilabos_uuid], with_children=True)
+            plr_resources = resource_tree.to_plr_resources()
+            if plr_resources:
+                plr_resource = plr_resources[0]
+            else:
+                raise ValueError(f"通过 uuid={unilabos_uuid} 查询资源为空")
+        else:
+            res_id = resource_data.get("id") or resource_data.get("name", "")
+            if not res_id:
+                raise ValueError(f"资源数据缺少 uuid 和 id: {list(resource_data.keys())}")
+            plr_resource = await self.get_resource_with_dir(resource_id=res_id, with_children=True)
 
         # 通过资源跟踪器获取本地实例
         res = self.resource_tracker.figure_resource(plr_resource, try_mode=True)
         if len(res) == 0:
-            # todo: 后续通过decoration来区分，减少warning
-            self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data}，返回新建实例")
+            self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data.get('id', '?')}，返回新建实例")
             return plr_resource
         elif len(res) == 1:
             return res[0]

unilabos/ros/nodes/presets/host_node.py

@@ -4,12 +4,13 @@ import threading
 import time
 import traceback
 import uuid
+
+from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
 from dataclasses import dataclass, field
 from typing import TYPE_CHECKING, Optional, Dict, Any, List, ClassVar, Set, Union
 
 from action_msgs.msg import GoalStatus
 from geometry_msgs.msg import Point
-from sensor_msgs.msg import JointState as JointStateMsg
 from rclpy.action import ActionClient, get_action_server_names_and_types_by_node
 from rclpy.service import Service
 from typing_extensions import TypedDict
@@ -25,7 +26,7 @@ from unilabos_msgs.srv import (
 from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
 from unique_identifier_msgs.msg import UUID
 
-from unilabos.registry.decorators import device
+from unilabos.registry.decorators import device, action, NodeType
 from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
 from unilabos.registry.registry import lab_registry
 from unilabos.resources.container import RegularContainer
@@ -314,7 +315,9 @@ class HostNode(BaseROS2DeviceNode):
                 callback_group=self.callback_group,
             ),
         }  # 用来存储多个ActionClient实例
-        self._action_value_mappings: Dict[str, Dict] = {}  # device_id -> action_value_mappings(本地+远程设备统一存储)
+        self._action_value_mappings: Dict[str, Dict] = {
+            device_id: self._action_value_mappings
+        }  # device_id -> action_value_mappings(本地+远程设备统一存储)
         self._slave_registry_configs: Dict[str, Dict] = {}  # registry_name -> registry_config(含action_value_mappings)
         self._goals: Dict[str, Any] = {}  # 用来存储多个目标的状态
         self._online_devices: Set[str] = {f"{self.namespace}/{device_id}"}  # 用于跟踪在线设备
@@ -349,10 +352,6 @@ class HostNode(BaseROS2DeviceNode):
             else:
                 self.lab_logger().warning(f"[Host Node] Device {device_id} already existed, skipping.")
         self.update_device_status_subscriptions()
-
-        # 订阅 joint_state_repub topic，桥接关节数据到云端
-        self._init_joint_state_bridge()
-
         # TODO: 需要验证 初始化所有控制器节点
         if controllers_config:
             update_rate = controllers_config["controller_manager"]["ros__parameters"]["update_rate"]
@@ -621,22 +620,17 @@ class HostNode(BaseROS2DeviceNode):
                 }
             )
         ]
-
         response: List[str] = await self.create_resource_detailed(
             resources, device_ids, bind_parent_id, bind_location, other_calling_param
         )
 
-        try:
-            assert len(response) == 1, "Create Resource应当只返回一个结果"
-            for i in response:
-                res = json.loads(i)
-                if "suc" in res:
-                    raise ValueError(res.get("error"))
-                return res
-        except Exception as ex:
-            pass
-        _n = "\n"
-        raise ValueError(f"创建资源时失败！\n{_n.join(response)}")
+        assert len(response) == 1, "Create Resource应当只返回一个结果"
+        for i in response:
+            res = json.loads(i)
+            if "suc" in res and not res["suc"]:
+                raise ValueError(res.get("error", "未知错误"))
+            return res
+        raise ValueError(f"创建资源时失败！响应为空")
 
     def initialize_device(self, device_id: str, device_config: ResourceDictInstance) -> None:
         """
@@ -787,179 +781,6 @@ class HostNode(BaseROS2DeviceNode):
                         else:
                             self.lab_logger().trace(f"Status updated: {device_id}.{property_name} = {msg.data}")
 
-    """关节数据 & 资源跟随桥接"""
-
-    # 吞吐优化参数
-    _JOINT_DEAD_BAND: float = 1e-4        # 关节角度变化小于此值视为无变化
-    _JOINT_MIN_INTERVAL: float = 0.05      # 最小发送间隔 (秒)，限制到 ~20Hz
-
-    def _init_joint_state_bridge(self):
-        """
-        订阅 /joint_states (sensor_msgs/JointState) 和 resource_pose (String)，
-        构建 device_id → uuid 映射，并维护 resource_poses 状态。
-
-        吞吐优化:
-        - 死区过滤 (dead band): 关节角度变化 < 阈值时不发送
-        - 抑频 (throttle): 限制最大发送频率，避免 ROS2 1kHz 打满 WS
-        - 增量 resource_poses: 仅在 resource_pose 实际变化时才附带发送
-        """
-        # 构建 device_id → cloud_uuid 映射（从 devices_config 中获取）
-        self._device_uuid_map: Dict[str, str] = {}
-        for tree in self.devices_config.trees:
-            node = tree.root_node
-            if node.res_content.type == "device" and node.res_content.uuid:
-                self._device_uuid_map[node.res_content.id] = node.res_content.uuid
-
-        # 按 device_id 长度降序排列，最长前缀优先匹配（避免 arm 抢先匹配 arm_left_j1）
-        self._device_ids_sorted = sorted(self._device_uuid_map.keys(), key=len, reverse=True)
-
-        # 资源挂载状态：{resource_id: parent_link_name}
-        self._resource_poses: Dict[str, str] = {}
-        # resource_pose 变化标志，仅在真正变化时随关节数据发送
-        self._resource_poses_dirty: bool = False
-
-        # 吞吐优化状态
-        self._last_joint_values: Dict[str, float] = {}   # 上次发送的关节值（全局）
-        self._last_send_time: float = -float("inf")       # 上次发送时间戳（初始为-inf确保首条通过）
-        self._last_sent_resource_poses: Dict[str, str] = {}  # 上次发送的 resource_poses 快照
-
-        if not self._device_uuid_map:
-            self.lab_logger().debug("[Host Node] 无设备 UUID 映射，跳过关节桥接")
-            return
-
-        # 直接订阅 /joint_states（sensor_msgs/JointState），无需经过 JointRepublisher
-        self.create_subscription(
-            JointStateMsg,
-            "/joint_states",
-            self._joint_state_callback,
-            10,
-            callback_group=self.callback_group,
-        )
-
-        # 订阅 resource_pose（资源挂载变化，由 ResourceMeshManager 发布）
-        from std_msgs.msg import String as StdString
-        self.create_subscription(
-            StdString,
-            "resource_pose",
-            self._resource_pose_callback,
-            10,
-            callback_group=self.callback_group,
-        )
-
-        self.lab_logger().info(
-            f"[Host Node] 已订阅 /joint_states 和 resource_pose，设备映射: {list(self._device_uuid_map.keys())}"
-        )
-
-    def _resource_pose_callback(self, msg):
-        """
-        接收 ResourceMeshManager 发布的资源挂载变更。
-
-        msg.data 格式: JSON dict，如 {"tip_rack_A1": "gripper_link", "plate_1": "deck_link"}
-        空 dict {} 表示无变化（心跳包）。
-        """
-        try:
-            data = json.loads(msg.data)
-        except (json.JSONDecodeError, ValueError):
-            return
-        if not isinstance(data, dict) or not data:
-            return
-        # 检测实际变化
-        has_change = False
-        for k, v in data.items():
-            if self._resource_poses.get(k) != v:
-                has_change = True
-                break
-        if has_change:
-            self._resource_poses.update(data)
-            self._resource_poses_dirty = True
-
-    def _joint_state_callback(self, msg: JointStateMsg):
-        """
-        直接接收 /joint_states (sensor_msgs/JointState)，按设备分组后通过 bridge 发送到云端。
-
-        吞吐优化:
-        1. 抑频: 距上次发送 < _JOINT_MIN_INTERVAL 则跳过（除非有 resource_pose 变化）
-        2. 死区: 所有关节角度变化 < _JOINT_DEAD_BAND 则跳过（除非有 resource_pose 变化）
-        3. 增量 resource_poses: 仅在 dirty 时附带，否则发空 dict
-        """
-        names = list(msg.name)
-        positions = list(msg.position)
-        if not names or len(names) != len(positions):
-            return
-
-        now = time.time()
-        resource_dirty = self._resource_poses_dirty
-
-        # 抑频检查：resource_pose 变化时强制发送
-        if not resource_dirty and (now - self._last_send_time) < self._JOINT_MIN_INTERVAL:
-            return
-
-        # 死区过滤：检测是否有关节值实质变化
-        has_significant_change = False
-        for name, pos in zip(names, positions):
-            last_val = self._last_joint_values.get(name)
-            if last_val is None or abs(float(pos) - last_val) >= self._JOINT_DEAD_BAND:
-                has_significant_change = True
-                break
-
-        # 无关节变化且无资源变化 → 跳过
-        if not has_significant_change and not resource_dirty:
-            return
-
-        # 更新上次发送的关节值
-        for name, pos in zip(names, positions):
-            self._last_joint_values[name] = float(pos)
-        self._last_send_time = now
-
-        # 按设备 ID 分组关节数据（最长前缀优先匹配）
-        device_joints: Dict[str, Dict[str, float]] = {}
-        for name, pos in zip(names, positions):
-            matched_device = None
-            for device_id in self._device_ids_sorted:
-                if name.startswith(device_id + "_"):
-                    matched_device = device_id
-                    break
-
-            if matched_device:
-                if matched_device not in device_joints:
-                    device_joints[matched_device] = {}
-                device_joints[matched_device][name] = float(pos)
-            elif len(self._device_uuid_map) == 1:
-                fallback_id = self._device_ids_sorted[0]
-                if fallback_id not in device_joints:
-                    device_joints[fallback_id] = {}
-                device_joints[fallback_id][name] = float(pos)
-
-        # 构建设备级 resource_poses（仅在 dirty 时附带实际数据）
-        device_resource_poses: Dict[str, Dict[str, str]] = {}
-        if resource_dirty:
-            for resource_id, link_name in self._resource_poses.items():
-                matched_device = None
-                for device_id in self._device_ids_sorted:
-                    if link_name.startswith(device_id + "_"):
-                        matched_device = device_id
-                        break
-                if matched_device:
-                    if matched_device not in device_resource_poses:
-                        device_resource_poses[matched_device] = {}
-                    device_resource_poses[matched_device][resource_id] = link_name
-                elif len(self._device_uuid_map) == 1:
-                    fallback_id = self._device_ids_sorted[0]
-                    if fallback_id not in device_resource_poses:
-                        device_resource_poses[fallback_id] = {}
-                    device_resource_poses[fallback_id][resource_id] = link_name
-            self._resource_poses_dirty = False
-
-        # 通过 bridge 发送 push_joint_state（含 resource_poses）
-        for device_id, joint_states in device_joints.items():
-            node_uuid = self._device_uuid_map.get(device_id)
-            if not node_uuid:
-                continue
-            resource_poses = device_resource_poses.get(device_id, {})
-            for bridge in self.bridges:
-                if hasattr(bridge, "publish_joint_state"):
-                    bridge.publish_joint_state(node_uuid, joint_states, resource_poses)
-
     def send_goal(
         self,
         item: "QueueItem",
@@ -1344,7 +1165,7 @@ class HostNode(BaseROS2DeviceNode):
                 else:
                     physical_setup_graph.nodes[resource_dict["id"]]["data"].update(resource_dict.get("data", {}))
 
-        response.response = json.dumps(uuid_mapping) if success else "FAILED"
+        response.response = _fast_dumps_str(uuid_mapping) if success else "FAILED"
         self.lab_logger().info(f"[Host Node-Resource] Resource tree add completed, success: {success}")
 
     async def _resource_tree_action_get_callback(self, data: dict, response: SerialCommand_Response):  # OK
@@ -1354,6 +1175,7 @@ class HostNode(BaseROS2DeviceNode):
 
         resource_response = http_client.resource_tree_get(uuid_list, with_children)
         response.response = json.dumps(resource_response)
+        self.lab_logger().trace(f"[Host Node-Resource] Resource tree get request callback {response.response}")
 
     async def _resource_tree_action_remove_callback(self, data: dict, response: SerialCommand_Response):
         """
@@ -1406,9 +1228,26 @@ class HostNode(BaseROS2DeviceNode):
         """
         try:
             # 解析请求数据
-            data = json.loads(request.command)
+            data = _fast_loads(request.command)
             action = data["action"]
-            self.lab_logger().info(f"[Host Node-Resource] Resource tree {action} request received")
+            inner = data.get("data", {})
+            if action == "add":
+                mount_uuid = inner.get("mount_uuid", "?")[:8] if isinstance(inner, dict) else "?"
+                tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
+                node_count = len(tree_data) if isinstance(tree_data, list) else "?"
+                source = f"mount={mount_uuid}.. nodes≈{node_count}"
+            elif action in ("get", "remove"):
+                uid_list = inner.get("data", inner) if isinstance(inner, dict) else inner
+                source = f"uuids={len(uid_list) if isinstance(uid_list, list) else '?'}"
+            elif action == "update":
+                tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
+                node_count = len(tree_data) if isinstance(tree_data, list) else "?"
+                source = f"nodes≈{node_count}"
+            else:
+                source = ""
+            self.lab_logger().info(
+                f"[Host Node-Resource] Resource tree {action} request received ({source})"
+            )
             data = data["data"]
             if action == "add":
                 await self._resource_tree_action_add_callback(data, response)
@@ -1799,6 +1638,19 @@ class HostNode(BaseROS2DeviceNode):
         }
         return res
 
+    @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": []
+    })
+    def manual_confirm(self, timeout_seconds: int, assignee_user_ids: list[str], **kwargs) -> dict:
+        """
+        timeout_seconds: 超时时间（秒），默认3600秒
+        修改的结果无效，是只读的
+        """
+        return kwargs
+
     def test_resource(
         self,
         sample_uuids: SampleUUIDsType,

unilabos/ros/nodes/presets/joint_republisher.py

@@ -41,7 +41,7 @@ class JointRepublisher(BaseROS2DeviceNode):
             json_dict["velocity"]       = list(msg.velocity)
             json_dict["effort"]         = list(msg.effort)
 
-            self.msg.data = json.dumps(json_dict)
+            self.msg.data = str(json_dict)
             self.joint_repub.publish(self.msg)
             # print('-'*20)
             # print(self.msg.data)

unilabos/test/experiments/virtual_bench.json

@@ -22,6 +22,447 @@
                 "arm_state": "idle",
                 "message": "工作台就绪"
             }
+        },
+        {
+            "id": "PRCXI",
+            "name": "PRCXI",
+            "type": "device",
+            "class": "liquid_handler.prcxi",
+            "parent": "",
+            "pose": {
+                "size": {
+                    "width": 562,
+                    "height": 394,
+                    "depth": 0
+                }
+            },
+            "config": {
+                "axis": "Left",
+                "deck": {
+                    "_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
+                    "_resource_child_name": "PRCXI_Deck"
+                },
+                "host": "10.20.30.184",
+                "port": 9999,
+                "debug": true,
+                "setup": true,
+                "is_9320": true,
+                "timeout": 10,
+                "matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
+                "simulator": true,
+                "channel_num": 2
+            },
+            "data": {
+                "reset_ok": true
+            },
+            "schema": {},
+            "description": "",
+            "model": null,
+            "position": {
+                "x": 0,
+                "y": 240,
+                "z": 0
+            }
+        },
+        {
+            "id": "PRCXI_Deck",
+            "name": "PRCXI_Deck",
+            "children": [],
+            "parent": "PRCXI",
+            "type": "deck",
+            "class": "",
+            "position": {
+                "x": 10,
+                "y": 10,
+                "z": 0
+            },
+            "config": {
+                "type": "PRCXI9300Deck",
+                "size_x": 542,
+                "size_y": 374,
+                "size_z": 0,
+                "rotation": {
+                    "x": 0,
+                    "y": 0,
+                    "z": 0,
+                    "type": "Rotation"
+                },
+                "category": "deck",
+                "barcode": null,
+                "preferred_pickup_location": null,
+                "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": [
+                            "container",
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T2",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 138,
+                            "y": 0,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T3",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 276,
+                            "y": 0,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T4",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 414,
+                            "y": 0,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T5",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 0,
+                            "y": 96,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T6",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 138,
+                            "y": 96,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T7",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 276,
+                            "y": 96,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T8",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 414,
+                            "y": 96,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T9",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 0,
+                            "y": 192,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T10",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 138,
+                            "y": 192,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T11",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 276,
+                            "y": 192,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T12",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 414,
+                            "y": 192,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T13",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 0,
+                            "y": 288,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T14",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 138,
+                            "y": 288,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T15",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 276,
+                            "y": 288,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    },
+                    {
+                        "label": "T16",
+                        "visible": true,
+                        "occupied_by": null,
+                        "position": {
+                            "x": 414,
+                            "y": 288,
+                            "z": 0
+                        },
+                        "size": {
+                            "width": 128.0,
+                            "height": 86,
+                            "depth": 0
+                        },
+                        "content_type": [
+                            "plate",
+                            "tip_rack",
+                            "plates",
+                            "tip_racks",
+                            "tube_rack",
+                            "adaptor"
+                        ]
+                    }
+                ]
+            },
+            "data": {}
         }
     ],
     "links": []

unilabos/utils/environment_check.py

@@ -188,7 +188,13 @@ class EnvironmentChecker:
             "crcmod": "crcmod-plus",
         }
 
-        self.special_packages = {"pylabrobot": "git+https://github.com/Xuwznln/pylabrobot.git"}
+        # 中文 locale 下走 Gitee 镜像，规避 GitHub 拉取失败
+        pylabrobot_url = (
+            "git+https://gitee.com/xuwznln/pylabrobot.git"
+            if _is_chinese_locale()
+            else "git+https://github.com/Xuwznln/pylabrobot.git"
+        )
+        self.special_packages = {"pylabrobot": pylabrobot_url}
 
         self.version_requirements = {
             "msgcenterpy": "0.1.8",

unilabos/utils/tools.py

@@ -17,6 +17,14 @@ try:
             default=json_default,
         )
 
+    def fast_loads(data) -> dict:
+        """JSON 反序列化，优先使用 orjson。接受 str / bytes。"""
+        return orjson.loads(data)
+
+    def fast_dumps_str(obj, **kwargs) -> str:
+        """JSON 序列化为 str，优先使用 orjson。用于需要 str 而非 bytes 的场景（如 ROS msg）。"""
+        return orjson.dumps(obj, option=orjson.OPT_NON_STR_KEYS, default=json_default).decode("utf-8")
+
     def normalize_json(info: dict) -> dict:
         """经 JSON 序列化/反序列化一轮来清理非标准类型。"""
         return orjson.loads(orjson.dumps(info, default=json_default))
@@ -29,6 +37,14 @@ except ImportError:
     def fast_dumps_pretty(obj, **kwargs) -> bytes:  # type: ignore[misc]
         return json.dumps(obj, indent=2, ensure_ascii=False, cls=TypeEncoder).encode("utf-8")
 
+    def fast_loads(data) -> dict:  # type: ignore[misc]
+        if isinstance(data, bytes):
+            data = data.decode("utf-8")
+        return json.loads(data)
+
+    def fast_dumps_str(obj, **kwargs) -> str:  # type: ignore[misc]
+        return json.dumps(obj, ensure_ascii=False, cls=TypeEncoder)
+
     def normalize_json(info: dict) -> dict:  # type: ignore[misc]
         return json.loads(json.dumps(info, ensure_ascii=False, cls=TypeEncoder))
 

unilabos/utils/type_check.py

@@ -80,11 +80,12 @@ def get_result_info_str(error: str, suc: bool, return_value=None) -> str:
     Returns:
         JSON字符串格式的结果信息
     """
-    samples = None
-    if isinstance(return_value, dict):
-        if "samples" in return_value and type(return_value["samples"]) in [list, tuple] and type(return_value["samples"][0]) == dict:
-            samples = return_value.pop("samples")
-    result_info = {"error": error, "suc": suc, "return_value": return_value, "samples": samples}
+    # 请在返回的字典中使用 unilabos_samples进行返回
+    # samples = None
+    # if isinstance(return_value, dict):
+    #     if "samples" in return_value and type(return_value["samples"]) in [list, tuple] and type(return_value["samples"][0]) == dict:
+    #         samples = return_value.pop("samples")
+    result_info = {"error": error, "suc": suc, "return_value": return_value}
 
     return json.dumps(result_info, ensure_ascii=False, cls=ResultInfoEncoder)
 

unilabos/workflow/common.py

@@ -346,7 +346,7 @@ def refactor_data(
             "template_name": template_name,
             "resource_name": resource_name,
             "description": step.get("description", step.get("purpose", f"{operation} operation")),
-            "lab_node_type": "Device",
+            "lab_node_type": "ILab",
             "param": step.get("parameters", step.get("action_args", {})),
             "footer": f"{template_name}-{resource_name}",
         }

unilabos/workflow/from_python_script.py

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

unilabos/workflow/from_xdl.py

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

unilabos_msgs/package.xml

@@ -2,7 +2,7 @@
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
   <name>unilabos_msgs</name>
-  <version>0.10.19</version>
+  <version>0.11.1</version>
   <description>ROS2 Messages package for unilabos devices</description>
   <maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
   <maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>