v0.11.0

update aksk desc

print res query logs

Fix skills exec error with action type

Update Skills

Update Skills addr

Change uni-lab. to leap-lab.
Support unit in pylabrobot

Support async func.

change to leap-lab backend. Support feedback interval. Reduce cocurrent lags.

fix create_resource_with_slot

update unilabos_formulation & batch-submit-exp

scale multi exec thread up to 48

update handle creation api

fit cocurrent gap

add running status debounce

allow non @topic_config support

update skill

add placeholder keys

always free

提交实验技能

disable samples

correct sample demo ret value

新增试剂reagent

update registry

新增manual_confirm

add workstation creation skill

add virtual_sample_demo 样品追踪测试设备

add external devices param
fix registry upload missing type

fast registry load

minor fix on skill & registry

stripe ros2 schema desc
add create-device-skill

new registry system backwards to yaml

remove not exist resource

new registry sys
exp. support with add device

correct raise create resource error

ret info fix revert

ret info fix

fix prcxi check

add create_resource schema

re signal host ready event

add websocket connection timeout and improve reconnection logic

add open_timeout parameter to websocket connection
add TimeoutError and InvalidStatus exception handling
implement exponential backoff for reconnection attempts
simplify reconnection logic flow

.conda/base/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos
-  version: 0.10.19
+  version: 0.11.0
 
 source:
   path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
   - pymodbus
   - matplotlib
   - pylibftdi
-  - uni-lab::unilabos-env ==0.10.19
+  - uni-lab::unilabos-env ==0.11.0
 
 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: 0.11.0
 
 build:
   noarch: generic

.conda/full/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos-full
-  version: 0.10.19
+  version: 0.11.0
 
 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 ==0.11.0
   # 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: 0.11.0
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.19"
+  version: "0.11.0"
 
 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='0.11.0',
     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__ = "0.11.0"

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

@@ -233,7 +233,7 @@ 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 +438,10 @@ 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 +553,7 @@ 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_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/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: []

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)
@@ -1921,16 +2067,27 @@ 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/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>0.11.0</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>