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Merge remote-tracking branch 'origin/dev' into feature/organic-extraction
# Conflicts: # .cursor/skills/add-workstation/SKILL.md # .cursor/skills/add-workstation/reference.md
This commit is contained in:
@@ -1,260 +1,626 @@
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---
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name: add-workstation
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description: Guide for adding new workstations to Uni-Lab-OS (接入新工作站). Walks through workstation type selection, sub-device composition, external system integration, driver creation, registry YAML, deck setup, and graph file configuration. Use when the user wants to add/integrate a new workstation, create a workstation driver, configure a station with sub-devices, set up deck and materials, or mentions 工作站/工站/station/workstation.
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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.
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---
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# Uni-Lab-OS 工作站接入指南
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工作站是组合多个子设备的大型设备,拥有独立的物料管理系统(PLR Deck)和工作流引擎。
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> **完整代码模板**见 [templates.md](templates.md),**高级模式**见 [reference.md](reference.md)。
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## 第一步:确定工作站类型
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向用户确认:
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| 类型 | 基类 | 适用场景 | 示例 |
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|------|------|----------|------|
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| **Protocol** | `ProtocolNode` | 标准化学操作协议 | FilterProtocolStation |
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| **外部系统** | `WorkstationBase` | 对接 LIMS/MES API | BioyondStation |
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| **硬件控制** | `WorkstationBase` | 直接控制 PLC/硬件 | CoinCellAssembly |
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还需确认:
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- 英文名称、通信方式(HTTP/Modbus/OPC UA/无)
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- 子设备组成(哪些已有、哪些新增、硬件代理关系)
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- 物料需求(是否需要 Deck、物料类型、是否需外部同步)
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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。
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---
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## 第二步:理解工作站架构
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## 工作站类型
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| 维度 | 普通设备 | 工作站 |
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|------|---------|--------|
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| 基类 | 纯 Python 类 | `WorkstationBase` / `ProtocolNode` |
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| ROS 节点 | `BaseROS2DeviceNode` | `ROS2WorkstationNode` |
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| 状态管理 | `self.data` 字典 | `@property` 直接访问 |
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| 子设备 | 无 | `self._children` / `self._ros_node.sub_devices` |
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| 物料 | 无 | `self.deck`(PLR Deck) |
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| 类型 | 基类 | 适用场景 |
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| ------------------- | ----------------- | ---------------------------------- |
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| **Protocol 工作站** | `ProtocolNode` | 标准化学操作协议(泵转移、过滤等) |
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| **外部系统工作站** | `WorkstationBase` | 与外部 LIMS/MES 对接 |
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| **硬件控制工作站** | `WorkstationBase` | 直接控制 PLC/硬件 |
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### 继承体系
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---
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```
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WorkstationBase (ABC)
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├── BioyondWorkstation ← HTTP RPC + 资源同步
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│ ├── BioyondReactionStation
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│ └── BioyondDispensingStation
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├── CoinCellAssemblyWorkstation ← Modbus/PLC
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└── ProtocolNode ← 标准化学协议
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## @device 装饰器(工作站)
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工作站也使用 `@device` 装饰器注册,参数与普通设备一致:
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```python
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@device(
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id="my_workstation", # 注册表唯一标识(必填)
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category=["workstation"], # 分类标签
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description="我的工作站",
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)
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```
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### 子设备初始化流程
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`ROS2WorkstationNode.__init__` → 遍历 `children`(type=="device")→ `initialize_device_from_dict()` → 存入 `sub_devices` → 为每个动作创建 `ActionClient` → 识别通信设备(`serial_*`/`io_*`)→ `_setup_hardware_proxy()`
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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)。
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---
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## 第三步:创建驱动文件
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## 工作站驱动模板
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路径:`unilabos/devices/workstation/<station_name>/<station_name>.py`
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### 模板 A:基于外部系统的工作站
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根据类型选择模板(完整代码见 [templates.md](templates.md)):
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```python
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import logging
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from typing import Dict, Any, Optional
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from pylabrobot.resources import Deck
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| 类型 | 模板 | 关键要素 |
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|------|------|---------|
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| 外部系统 | Template A | `config` 接收 API 配置,`post_init` 启动 RPC/HTTP 服务 |
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| 硬件控制 | Template B | `TCPClient` + CSV 寄存器映射,`use_node()` 读写 |
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| Protocol | Template C | 直接使用 `ProtocolNode`,通常不需要自定义类 |
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from unilabos.registry.decorators import device, topic_config, not_action
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from unilabos.devices.workstation.workstation_base import WorkstationBase
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**所有模板的 `__init__` 必须接受 `deck` 和 `**kwargs`。**
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try:
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from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
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except ImportError:
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ROS2WorkstationNode = None
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---
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## 第四步:创建子设备(如需要)
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@device(id="my_workstation", category=["workstation"], description="我的工作站")
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class MyWorkstation(WorkstationBase):
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_ros_node: "ROS2WorkstationNode"
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子设备是独立设备,有自己的驱动类和注册表。完整模板见 [templates.md § 子设备模板](templates.md)。
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def __init__(self, config=None, deck=None, protocol_type=None, **kwargs):
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super().__init__(deck=deck, **kwargs)
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self.config = config or {}
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self.logger = logging.getLogger("MyWorkstation")
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self.api_host = self.config.get("api_host", "")
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self._status = "Idle"
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### 关键要点
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@not_action
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def post_init(self, ros_node: "ROS2WorkstationNode"):
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super().post_init(ros_node)
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self._ros_node = ros_node
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1. **驱动类**:普通 Python 类,`self.data` 预填所有属性
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2. **注册表**:`category` 包含工作站标识,`auto-` 前缀动作不创建 ActionClient
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3. **图文件**:`parent` 指向工作站 ID,`type: "device"`
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4. **代码访问**:`self._children.get("reactor_1").driver_instance`
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async def scheduler_start(self, **kwargs) -> Dict[str, Any]:
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"""注册为工作站动作"""
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return {"success": True}
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### 硬件代理模式
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async def create_order(self, json_str: str, **kwargs) -> Dict[str, Any]:
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"""注册为工作站动作"""
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return {"success": True}
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当子设备需要通过通信设备(串口/IO)通信时:
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@property
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@topic_config()
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def workflow_sequence(self) -> str:
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return "[]"
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1. 通信设备 ID 必须以 `serial_` 或 `io_` 开头
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2. 子设备注册表中声明 `hardware_interface: {name, read, write}`
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3. 子设备实例的 `name` 属性值 = 通信设备 ID
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4. ROS 节点自动将通信设备的 read/write 方法注入到子设备上
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---
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## 第五步:创建注册表 YAML
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路径:`unilabos/registry/devices/<station_name>.yaml`
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**最小配置(`--complete_registry` 自动补全):**
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```yaml
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my_workstation:
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category:
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- workstation
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class:
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module: unilabos.devices.workstation.my_station.my_station:MyWorkstation
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type: python
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@property
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@topic_config()
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def material_info(self) -> str:
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return "{}"
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```
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**完整配置**见 [templates.md § 注册表完整配置](templates.md)。
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### 模板 B:Protocol 工作站
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直接使用 `ProtocolNode`,通常不需要自定义驱动类:
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```python
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from unilabos.devices.workstation.workstation_base import ProtocolNode
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```
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在图文件中配置 `protocol_type` 即可。
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---
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## 第六步:配置物料系统(如需要)
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## 子设备访问(sub_devices)
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物料层级:`Deck` → `WareHouse` → `ResourceHolder` (site) → `BottleCarrier` → `Bottle`
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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:
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### 快速流程
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```python
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# 在工站驱动类的方法中访问子设备
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sub = self._ros_node.sub_devices["pump_1"]
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1. **创建 Bottle**(`unilabos/resources/<project>/bottles.py`)— 工厂函数,返回 `Bottle` 实例
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2. **创建 Carrier**(`.../bottle_carriers.py`)— 工厂函数,用 `create_ordered_items_2d` 定义槽位
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3. **创建 WareHouse**(`.../warehouses.py`)— 用 `warehouse_factory()` 创建堆栈
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4. **创建 Deck**(`.../decks.py`)— 继承 `pylabrobot.resources.Deck`,`setup()` 中放置 WareHouse
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5. **注册表**(`unilabos/registry/resources/<project>/`)— `class.type: pylabrobot`
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6. **PLR 扩展**(`unilabos/resources/plr_additional_res_reg.py`)— 导入新 Deck 类
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# .driver_instance — 子设备的驱动实例(即设备 Python 类的实例)
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sub.driver_instance.some_method(arg1, arg2)
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|
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完整代码模板见 [templates.md § 物料资源模板](templates.md)。
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# .ros_node_instance — 子设备的 ROS2 节点实例
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sub.ros_node_instance._action_value_mappings # 查看子设备支持的 action
|
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```
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### 图文件中的 Deck 配置
|
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**常见用法**:
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|
||||
工作站节点引用 Deck:
|
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```python
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class MyWorkstation(WorkstationBase):
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def my_protocol(self, **kwargs):
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# 获取子设备驱动实例
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pump = self._ros_node.sub_devices["pump_1"].driver_instance
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heater = self._ros_node.sub_devices["heater_1"].driver_instance
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|
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# 直接调用子设备方法
|
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pump.aspirate(volume=100)
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heater.set_temperature(80)
|
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```
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|
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> 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。
|
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|
||||
---
|
||||
|
||||
## 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
|
||||
"deck": {
|
||||
"data": {
|
||||
"_resource_child_name": "my_deck",
|
||||
"_resource_type": "unilabos.resources.my_project.decks:MyStation_Deck"
|
||||
{
|
||||
"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"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Deck 子节点:
|
||||
#### 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
|
||||
{
|
||||
"id": "my_deck",
|
||||
"parent": "my_station",
|
||||
"type": "deck",
|
||||
"class": "MyStation_Deck",
|
||||
"config": {"type": "MyStation_Deck", "setup": true, "rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"}}
|
||||
"config": {
|
||||
"deck": {
|
||||
"data": {
|
||||
"_resource_child_name": "YB_Bioyond_Deck",
|
||||
"_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_YB_Deck"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
> **`_resource_child_name`** 必须与 Deck 节点的 `id` 一致。
|
||||
没有特殊需求时推荐 init 初始化。
|
||||
|
||||
---
|
||||
|
||||
## 第七步:配置图文件
|
||||
|
||||
路径:`unilabos/test/experiments/<station_name>.json`
|
||||
|
||||
```json
|
||||
{
|
||||
"nodes": [
|
||||
{
|
||||
"id": "my_station",
|
||||
"name": "my_station",
|
||||
"children": ["my_deck", "sub_device_1"],
|
||||
"parent": null,
|
||||
"type": "device",
|
||||
"class": "my_workstation",
|
||||
"position": {"x": 0, "y": 0, "z": 0},
|
||||
"config": {},
|
||||
"deck": {"data": {"_resource_child_name": "my_deck", "_resource_type": "...decks:MyStation_Deck"}},
|
||||
"size_x": 2700.0, "size_y": 1080.0, "size_z": 1500.0,
|
||||
"protocol_type": [],
|
||||
"data": {}
|
||||
},
|
||||
{"id": "my_deck", "parent": "my_station", "type": "deck", "class": "MyStation_Deck", "config": {"type": "MyStation_Deck", "setup": true}},
|
||||
{"id": "sub_device_1", "parent": "my_station", "type": "device", "class": "sub_device_class", "config": {}}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### 图文件规则
|
||||
#### config.deck 字段说明
|
||||
|
||||
| 字段 | 说明 |
|
||||
|------|------|
|
||||
| `children` | 包含 deck ID 和所有子设备 ID |
|
||||
| `parent` | 工作站为 `null`;子设备/deck 指向工作站 ID |
|
||||
| `type` | 工作站和子设备 `"device"`;deck 为 `"deck"` |
|
||||
| `class` | 注册表中的设备名 |
|
||||
| `protocol_type` | Protocol 工作站填协议名列表;否则 `[]` |
|
||||
| `config` | 传入 `__init__` 的 `config` 参数 |
|
||||
| `_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 |
|
||||
|
||||
### Config 字段速查
|
||||
#### 设备 __init__ 接收
|
||||
|
||||
| 字段 | 外部系统 | PLC/硬件 | 说明 |
|
||||
|------|---------|---------|------|
|
||||
| `api_host` / `api_key` | ✅ | — | 外部 API 连接 |
|
||||
| `address` / `port` | — | ✅ | PLC 地址(init 参数,非 config 内) |
|
||||
| `workflow_mappings` | ✅ | — | 工作流名 → 外部 UUID |
|
||||
| `material_type_mappings` | ✅ | — | PLR 资源类 → 外部物料类型 |
|
||||
| `warehouse_mapping` | ✅ | — | 仓库 → 外部 UUID + 库位 UUID |
|
||||
| `http_service_config` | ✅ | — | HTTP 回调 host/port |
|
||||
```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
|
||||
```
|
||||
|
||||
> 完整 Config 结构详见 [reference.md § 2](reference.md)
|
||||
#### 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
|
||||
|
||||
---
|
||||
|
||||
## 第八步:验证
|
||||
## 子设备
|
||||
|
||||
```bash
|
||||
python -c "from unilabos.devices.workstation.<name>.<name> import <ClassName>"
|
||||
unilab -g <graph>.json --complete_registry
|
||||
unilab -g <graph>.json
|
||||
```
|
||||
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`
|
||||
2. 通过 `self._children` 访问子设备,不自行维护引用
|
||||
3. `post_init` 中启动后台服务,不在 `__init__` 中启动网络连接
|
||||
4. 异步方法使用 `await self._ros_node.sleep()`,禁止 `time.sleep()` / `asyncio.sleep()`
|
||||
5. 子设备在图文件中声明,不在驱动代码中创建
|
||||
6. `_resource_child_name` 必须与 deck 节点 ID 一致
|
||||
7. Protocol 工作站优先使用 `ProtocolNode`
|
||||
8. 通信设备 ID 以 `serial_` 或 `io_` 开头
|
||||
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
|
||||
|
||||
---
|
||||
|
||||
## 工作流清单
|
||||
## 验证
|
||||
|
||||
```
|
||||
- [ ] 1. 确定类型(Protocol / 外部系统 / 硬件控制)
|
||||
- [ ] 2. 确认子设备组成和物料需求
|
||||
- [ ] 3. 创建工作站驱动
|
||||
- [ ] 4. 创建子设备驱动 + 注册表(如需要)
|
||||
- [ ] 5. 创建工作站注册表
|
||||
- [ ] 6. 创建物料资源 Bottle→Carrier→WareHouse→Deck(如需要)
|
||||
- [ ] 7. 注册 PLR 扩展(Deck 类需要)
|
||||
- [ ] 8. 配置图文件
|
||||
- [ ] 9. 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
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 参考资源
|
||||
## 现有工作站参考
|
||||
|
||||
- **代码模板**:[templates.md](templates.md) — 驱动模板 A/B/C、子设备、注册表、物料资源
|
||||
- **高级模式**:[reference.md](reference.md) — 外部系统集成、Config 模式、资源同步、PLC 框架、端到端案例
|
||||
- **现有工作站**:
|
||||
| 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 |
|
||||
|
||||
| 工作站 | 注册表名 | 类型 | 驱动路径 |
|
||||
|--------|----------|------|---------|
|
||||
| Bioyond 反应站 | `reaction_station.bioyond` | 外部系统 | `bioyond_studio/reaction_station/` |
|
||||
| Bioyond 配液站 | `bioyond_dispensing_station` | 外部系统 | `bioyond_studio/dispensing_station/` |
|
||||
| 纽扣电池组装 | `coincellassemblyworkstation_device` | 硬件控制 | `coin_cell_assembly/` |
|
||||
| Protocol 通用 | `workstation` | Protocol | `workstation_base.py` |
|
||||
参考路径:`unilabos/devices/workstation/` 目录下各工作站实现。
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# 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、PLC 框架、硬件代理等高级模式。
|
||||
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。
|
||||
|
||||
---
|
||||
@@ -116,6 +116,7 @@ class ConnectionMonitor:
|
||||
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:
|
||||
@@ -209,35 +210,6 @@ class ConnectionMonitor:
|
||||
}
|
||||
```
|
||||
|
||||
### 2.7 工作流到工序名映射
|
||||
|
||||
```json
|
||||
{
|
||||
"workflow_to_section_map": {
|
||||
"reactor_taken_in": "反应器放入",
|
||||
"reactor_taken_out": "反应器取出",
|
||||
"Solid_feeding_vials": "固体投料-小瓶"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 2.8 动作名称映射
|
||||
|
||||
```json
|
||||
{
|
||||
"action_names": {
|
||||
"reactor_taken_in": {
|
||||
"config": "通量-配置",
|
||||
"stirring": "反应模块-开始搅拌"
|
||||
},
|
||||
"solid_feeding_vials": {
|
||||
"feeding": "粉末加样模块-投料",
|
||||
"observe": "反应模块-观察搅拌结果"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 3. 资源同步机制
|
||||
@@ -274,25 +246,14 @@ class MyResourceSynchronizer(ResourceSynchronizer):
|
||||
return True
|
||||
```
|
||||
|
||||
### 3.2 资源树回调
|
||||
|
||||
Bioyond 工作站注册了资源树变更回调,实现与外部系统的自动同步:
|
||||
|
||||
| 回调名 | 触发时机 | 外部操作 |
|
||||
|--------|---------|---------|
|
||||
| `resource_tree_add` | PLR Deck 中添加资源 | 入库到外部系统 |
|
||||
| `resource_tree_remove` | PLR Deck 中移除资源 | 出库 |
|
||||
| `resource_tree_transfer` | 创建物料(不入库) | 创建外部物料记录 |
|
||||
| `resource_tree_update` | 资源位置移动 | 更新外部系统库位 |
|
||||
|
||||
### 3.3 update_resource — 上传资源树到云端
|
||||
### 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
|
||||
|
||||
# 在 post_init 中上传初始 deck
|
||||
ROS2DeviceNode.run_async_func(
|
||||
self._ros_node.update_resource, True,
|
||||
**{"resources": [self.deck]}
|
||||
@@ -354,11 +315,15 @@ async def transfer_materials_to_another_station(
|
||||
"""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)}
|
||||
```
|
||||
@@ -404,437 +369,3 @@ def post_init(self, ros_node):
|
||||
# 5. 初始化资源同步器(可选)
|
||||
self.resource_synchronizer = MyResourceSynchronizer(self, self.rpc_client)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. PLC/Modbus 完整框架
|
||||
|
||||
### 7.1 寄存器映射 CSV 格式
|
||||
|
||||
PLC 工作站使用 CSV 文件定义寄存器映射表。路径通常为工作站目录下的 `<name>.csv`。
|
||||
|
||||
**CSV 列定义:**
|
||||
|
||||
| 列名 | 说明 | 值示例 |
|
||||
|------|------|--------|
|
||||
| `Name` | 寄存器节点名称(代码中引用的唯一标识) | `COIL_SYS_START_CMD` |
|
||||
| `DataType` | 数据类型 | `BOOL`, `INT16`, `FLOAT32` |
|
||||
| `InitValue` | 初始值(可选) | — |
|
||||
| `Comment` | 注释(可选) | — |
|
||||
| `Attribute` | 自定义属性(可选) | — |
|
||||
| `DeviceType` | Modbus 设备类型 | `coil`, `hold_register`, `input_register`, `discrete_inputs` |
|
||||
| `Address` | Modbus 地址 | `8010`, `11000` |
|
||||
|
||||
**CSV 示例:**
|
||||
|
||||
```csv
|
||||
Name,DataType,InitValue,Comment,Attribute,DeviceType,Address,
|
||||
COIL_SYS_START_CMD,BOOL,,系统启动命令,,coil,8010,
|
||||
COIL_SYS_STOP_CMD,BOOL,,系统停止命令,,coil,8020,
|
||||
COIL_SYS_RESET_CMD,BOOL,,系统复位命令,,coil,8030,
|
||||
REG_MSG_ELECTROLYTE_VOLUME,INT16,,电解液体积,,hold_register,11004,
|
||||
REG_DATA_OPEN_CIRCUIT_VOLTAGE,FLOAT32,,开路电压,,hold_register,10002,
|
||||
REG_DATA_AXIS_X_POS,FLOAT32,,X轴位置,,hold_register,10004,
|
||||
```
|
||||
|
||||
**命名约定:**
|
||||
- 线圈:`COIL_` 前缀(读写布尔量)
|
||||
- 保持寄存器:`REG_MSG_`(消息/命令寄存器)、`REG_DATA_`(数据/状态寄存器)
|
||||
- `_CMD` 后缀:写入命令
|
||||
- `_STATUS` 后缀:读取状态
|
||||
|
||||
### 7.2 TCPClient 初始化
|
||||
|
||||
```python
|
||||
from unilabos.device_comms.modbus_plc.client import TCPClient, BaseClient
|
||||
from unilabos.device_comms.modbus_plc.modbus import DataType, WorderOrder
|
||||
|
||||
# 创建 Modbus TCP 客户端
|
||||
modbus_client = TCPClient(addr="192.168.1.100", port=502)
|
||||
modbus_client.client.connect()
|
||||
|
||||
# 从 CSV 加载寄存器映射
|
||||
import os
|
||||
csv_path = os.path.join(os.path.dirname(__file__), 'register_map.csv')
|
||||
nodes = BaseClient.load_csv(csv_path)
|
||||
client = modbus_client.register_node_list(nodes)
|
||||
```
|
||||
|
||||
### 7.3 寄存器读写操作
|
||||
|
||||
```python
|
||||
# 读取线圈(布尔值)
|
||||
result, err = client.use_node('COIL_SYS_START_STATUS').read(1)
|
||||
is_started = result[0] if not err else False
|
||||
|
||||
# 写入线圈
|
||||
client.use_node('COIL_SYS_START_CMD').write(True)
|
||||
|
||||
# 读取保持寄存器(INT16)
|
||||
result, err = client.use_node('REG_DATA_ASSEMBLY_COIN_CELL_NUM').read(1)
|
||||
|
||||
# 读取保持寄存器(FLOAT32,需要 2 个寄存器)
|
||||
result, err = client.use_node('REG_DATA_OPEN_CIRCUIT_VOLTAGE').read(2)
|
||||
|
||||
# 写入保持寄存器(FLOAT32)
|
||||
client.use_node('REG_MSG_ELECTROLYTE_VOLUME').write(
|
||||
100.0,
|
||||
data_type=DataType.FLOAT32,
|
||||
word_order=WorderOrder.LITTLE,
|
||||
)
|
||||
```
|
||||
|
||||
**FLOAT32 字节序注意:** 许多 PLC 使用 Big Byte Order + Little Word Order,需要交换两个 16 位寄存器的顺序。参考 `coin_cell_assembly.py` 中的 `_decode_float32_correct` 函数。
|
||||
|
||||
### 7.4 ModbusWorkflow 生命周期
|
||||
|
||||
PLC 工作站的动作通过 `ModbusWorkflow` + `WorkflowAction` 组织,每个动作有 4 个生命周期阶段:
|
||||
|
||||
```python
|
||||
from unilabos.device_comms.modbus_plc.client import ModbusWorkflow, WorkflowAction
|
||||
|
||||
# 定义动作的生命周期函数
|
||||
def my_init(use_node):
|
||||
"""初始化:设置参数"""
|
||||
use_node('REG_MSG_ELECTROLYTE_VOLUME').write(
|
||||
100.0, data_type=DataType.FLOAT32, word_order=WorderOrder.LITTLE
|
||||
)
|
||||
return True
|
||||
|
||||
def my_start(use_node):
|
||||
"""启动:触发动作并轮询等待完成"""
|
||||
use_node('COIL_SYS_START_CMD').write(True)
|
||||
while True:
|
||||
result, err = use_node('COIL_SYS_START_STATUS').read(1)
|
||||
if not err and result[0]:
|
||||
break
|
||||
time.sleep(0.5)
|
||||
return True
|
||||
|
||||
def my_stop(use_node):
|
||||
"""停止:复位触发信号"""
|
||||
use_node('COIL_SYS_START_CMD').write(False)
|
||||
return True
|
||||
|
||||
def my_cleanup(use_node):
|
||||
"""清理:无论成功失败都执行"""
|
||||
use_node('COIL_SYS_RESET_CMD').write(True)
|
||||
|
||||
# 组合成工作流
|
||||
workflow = ModbusWorkflow(
|
||||
name="我的加工流程",
|
||||
actions=[
|
||||
WorkflowAction(init=my_init, start=my_start, stop=my_stop, cleanup=my_cleanup)
|
||||
],
|
||||
)
|
||||
|
||||
# 执行
|
||||
client.run_modbus_workflow(workflow)
|
||||
```
|
||||
|
||||
**生命周期执行顺序:** `init` → `start` → `stop` → `cleanup`(cleanup 始终执行,即使前序步骤失败)
|
||||
|
||||
### 7.5 PLC 工作站中的握手循环
|
||||
|
||||
纽扣电池组装站的典型 PLC 交互模式(信息交换握手):
|
||||
|
||||
```python
|
||||
async def _send_msg_to_plc(self, data: dict):
|
||||
"""向 PLC 发送消息并等待确认"""
|
||||
# 1. 写入数据寄存器
|
||||
for key, value in data.items():
|
||||
self._write_register(key, value)
|
||||
|
||||
# 2. 发送"消息已准备好"信号
|
||||
self._write_coil('COIL_UNILAB_SEND_MSG_SUCC_CMD', True)
|
||||
|
||||
# 3. 等待 PLC 读取确认
|
||||
while not self._read_coil('COIL_REQUEST_REC_MSG_STATUS'):
|
||||
await self._ros_node.sleep(0.3)
|
||||
|
||||
# 4. 撤销发送信号
|
||||
self._write_coil('COIL_UNILAB_SEND_MSG_SUCC_CMD', False)
|
||||
|
||||
async def _recv_msg_from_plc(self) -> dict:
|
||||
"""等待 PLC 发送消息"""
|
||||
# 1. 等待 PLC 发送信号
|
||||
while not self._read_coil('COIL_REQUEST_SEND_MSG_STATUS'):
|
||||
await self._ros_node.sleep(0.3)
|
||||
|
||||
# 2. 读取数据寄存器
|
||||
data = {}
|
||||
for key in self._recv_registers:
|
||||
data[key] = self._read_register(key)
|
||||
|
||||
# 3. 发送"已收到"确认
|
||||
self._write_coil('COIL_UNILAB_REC_MSG_SUCC_CMD', True)
|
||||
|
||||
# 4. 等待 PLC 撤销发送信号
|
||||
while self._read_coil('COIL_REQUEST_SEND_MSG_STATUS'):
|
||||
await self._ros_node.sleep(0.3)
|
||||
|
||||
# 5. 撤销确认信号
|
||||
self._write_coil('COIL_UNILAB_REC_MSG_SUCC_CMD', False)
|
||||
|
||||
return data
|
||||
```
|
||||
|
||||
### 7.6 JSON 驱动的 PLC 工作流
|
||||
|
||||
PLC 工作站还支持通过 JSON 描述工作流,无需编写 Python 代码。使用 `BaseClient.execute_procedure_from_json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"register_node_list_from_csv_path": {"path": "register_map.csv"},
|
||||
"create_flow": [
|
||||
{
|
||||
"name": "初始化系统",
|
||||
"action": [
|
||||
{
|
||||
"address_function_to_create": [
|
||||
{"func_name": "write_start", "node_name": "COIL_SYS_START_CMD", "mode": "write", "value": true},
|
||||
{"func_name": "read_status", "node_name": "COIL_SYS_START_STATUS", "mode": "read", "value": 1}
|
||||
],
|
||||
"create_init_function": null,
|
||||
"create_start_function": {
|
||||
"func_name": "start_sys",
|
||||
"write_functions": ["write_start"],
|
||||
"condition_functions": ["read_status"],
|
||||
"stop_condition_expression": "read_status[0]"
|
||||
},
|
||||
"create_stop_function": {"func_name": "stop_start", "node_name": "COIL_SYS_START_CMD", "mode": "write", "value": false},
|
||||
"create_cleanup_function": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"execute_flow": ["初始化系统"]
|
||||
}
|
||||
```
|
||||
|
||||
参考:`unilabos/device_comms/modbus_plc/client.py`(`ExecuteProcedureJson` 类型定义)
|
||||
|
||||
---
|
||||
|
||||
## 8. 端到端案例 Walkthrough:Bioyond 反应站
|
||||
|
||||
以 Bioyond 反应站为例,展示从零接入一个带物料输入的外部系统工作站的完整过程。
|
||||
|
||||
### 8.1 需求
|
||||
|
||||
- **类型**:外部系统工作站(与 Bioyond LIMS 系统对接)
|
||||
- **通信**:HTTP API(RPC 客户端 + HTTP 回调服务)
|
||||
- **子设备**:5 个反应器(reactor_1 ~ reactor_5)
|
||||
- **物料**:反应器、试剂瓶、烧杯、样品板、小瓶、枪头盒 → 6 种 WareHouse → 1 个 Deck
|
||||
|
||||
### 8.2 文件结构
|
||||
|
||||
```
|
||||
unilabos/
|
||||
├── devices/workstation/bioyond_studio/
|
||||
│ ├── station.py # BioyondWorkstation 基类
|
||||
│ ├── bioyond_rpc.py # RPC 客户端
|
||||
│ └── reaction_station/
|
||||
│ └── reaction_station.py # BioyondReactionStation + BioyondReactor
|
||||
├── resources/bioyond/
|
||||
│ ├── bottles.py # Bottle 工厂函数(8 种)
|
||||
│ ├── bottle_carriers.py # Carrier 工厂函数(8 种)
|
||||
│ ├── warehouses.py # WareHouse 工厂函数(6 种)
|
||||
│ └── decks.py # BIOYOND_PolymerReactionStation_Deck
|
||||
├── registry/
|
||||
│ ├── devices/reaction_station_bioyond.yaml
|
||||
│ └── resources/bioyond/
|
||||
│ ├── bottles.yaml
|
||||
│ ├── bottle_carriers.yaml
|
||||
│ └── decks.yaml
|
||||
└── test/experiments/reaction_station_bioyond.json
|
||||
```
|
||||
|
||||
### 8.3 继承链
|
||||
|
||||
```
|
||||
WorkstationBase
|
||||
└── BioyondWorkstation # 通用 Bioyond 逻辑
|
||||
├── __init__(config, deck, protocol_type)
|
||||
├── post_init() → 启动连接监控 + HTTP 服务 + 上传 deck
|
||||
├── BioyondResourceSynchronizer # 物料双向同步
|
||||
└── BioyondReactionStation # 反应站特化
|
||||
├── reactor_taken_in() # 反应器放入工作流
|
||||
├── solid_feeding_vials() # 固体投料
|
||||
├── liquid_feeding_solvents() # 液体投料
|
||||
└── workflow_sequence @property # 工作流序列状态
|
||||
```
|
||||
|
||||
### 8.4 物料资源层级(反应站实例)
|
||||
|
||||
```
|
||||
BIOYOND_PolymerReactionStation_Deck (2700×1080×1500mm)
|
||||
├── 堆栈1左 (WareHouse 4x4) ← Coordinate(-200, 400, 0)
|
||||
│ ├── A01 → BottleCarrier → Reactor
|
||||
│ ├── A02 → BottleCarrier → Reactor
|
||||
│ └── ...(共 16 槽位)
|
||||
├── 堆栈1右 (WareHouse 4x4, col_offset=4) ← Coordinate(350, 400, 0)
|
||||
│ ├── A05 → BottleCarrier → Reactor
|
||||
│ └── ...
|
||||
├── 站内试剂存放堆栈 (WareHouse 1x2) ← Coordinate(1050, 400, 0)
|
||||
│ ├── A01 → 1BottleCarrier → Bottle
|
||||
│ └── A02 → 1BottleCarrier → Bottle
|
||||
├── 测量小瓶仓库 (WareHouse 3x2) ← Coordinate(...)
|
||||
├── 站内Tip盒堆栈(左) (WareHouse, removed_positions)
|
||||
└── 站内Tip盒堆栈(右) (WareHouse)
|
||||
```
|
||||
|
||||
### 8.5 图文件关键结构
|
||||
|
||||
```json
|
||||
{
|
||||
"nodes": [
|
||||
{
|
||||
"id": "reaction_station_bioyond",
|
||||
"children": ["Bioyond_Deck", "reactor_1", "reactor_2", "reactor_3", "reactor_4", "reactor_5"],
|
||||
"parent": null,
|
||||
"type": "device",
|
||||
"class": "reaction_station.bioyond",
|
||||
"config": {
|
||||
"api_key": "DE9BDDA0",
|
||||
"api_host": "http://172.21.103.36:45388",
|
||||
"workflow_mappings": {
|
||||
"reactor_taken_out": "3a16081e-...",
|
||||
"reactor_taken_in": "3a160df6-..."
|
||||
},
|
||||
"material_type_mappings": {
|
||||
"BIOYOND_PolymerStation_Reactor": ["反应器", "3a14233b-..."],
|
||||
"BIOYOND_PolymerStation_1BottleCarrier": ["试剂瓶", "3a14233b-..."]
|
||||
},
|
||||
"warehouse_mapping": {
|
||||
"堆栈1左": {
|
||||
"uuid": "3a14aa17-...",
|
||||
"site_uuids": {"A01": "3a14aa17-...", "A02": "3a14aa17-..."}
|
||||
}
|
||||
},
|
||||
"http_service_config": {
|
||||
"http_service_host": "127.0.0.1",
|
||||
"http_service_port": 8080
|
||||
}
|
||||
},
|
||||
"deck": {
|
||||
"data": {
|
||||
"_resource_child_name": "Bioyond_Deck",
|
||||
"_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_PolymerReactionStation_Deck"
|
||||
}
|
||||
},
|
||||
"size_x": 2700.0,
|
||||
"size_y": 1080.0,
|
||||
"size_z": 2500.0,
|
||||
"protocol_type": [],
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "Bioyond_Deck",
|
||||
"parent": "reaction_station_bioyond",
|
||||
"type": "deck",
|
||||
"class": "BIOYOND_PolymerReactionStation_Deck",
|
||||
"config": {"type": "BIOYOND_PolymerReactionStation_Deck", "setup": true}
|
||||
},
|
||||
{
|
||||
"id": "reactor_1",
|
||||
"parent": "reaction_station_bioyond",
|
||||
"type": "device",
|
||||
"class": "reaction_station.reactor",
|
||||
"position": {"x": 1150, "y": 300, "z": 0},
|
||||
"config": {}
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### 8.6 初始化时序
|
||||
|
||||
```
|
||||
1. ROS2WorkstationNode.__init__
|
||||
├── 创建 BioyondReactionStation 实例(__init__)
|
||||
├── 加载 Deck(BIOYOND_PolymerReactionStation_Deck, setup=true → 创建 6 个 WareHouse)
|
||||
├── 初始化 reactor_1~5(BioyondReactor 实例)→ sub_devices
|
||||
└── 为每个 reactor 创建 ActionClient
|
||||
|
||||
2. BioyondReactionStation.post_init(ros_node)
|
||||
├── 初始化 BioyondV1RPC(HTTP 客户端)
|
||||
├── 初始化 BioyondResourceSynchronizer
|
||||
├── 启动 ConnectionMonitor(30s 轮询)
|
||||
├── 启动 WorkstationHTTPService(接收回调)
|
||||
├── sync_from_external()(从 Bioyond 拉取物料到 Deck)
|
||||
└── update_resource([self.deck])(上传 Deck 到云端)
|
||||
```
|
||||
|
||||
### 8.7 物料同步流程
|
||||
|
||||
```
|
||||
外部入库:
|
||||
Bioyond API → stock_material() → 获取物料列表
|
||||
→ resource_bioyond_to_plr() → 转为 PLR Bottle/Carrier
|
||||
→ deck.warehouses["堆栈1左"]["A01"] = carrier
|
||||
→ update_resource([deck])
|
||||
|
||||
外部变更回调:
|
||||
Bioyond POST /report/material_change
|
||||
→ WorkstationHTTPService 接收
|
||||
→ process_material_change_report()
|
||||
→ 更新 Deck 中的资源
|
||||
→ update_resource([affected_resource])
|
||||
```
|
||||
|
||||
### 8.8 工作站动作执行流程(以 reactor_taken_in 为例)
|
||||
|
||||
```python
|
||||
async def reactor_taken_in(self, assign_material_name, cutoff, temperature, **kwargs):
|
||||
# 1. 从 config 获取工作流 UUID
|
||||
workflow_id = self.config["workflow_mappings"]["reactor_taken_in"]
|
||||
|
||||
# 2. 构建工序参数
|
||||
sections = self._build_sections(temperature, cutoff, ...)
|
||||
|
||||
# 3. 合并到工作流序列
|
||||
self._workflow_sequence.append({"name": "reactor_taken_in", ...})
|
||||
|
||||
# 4. 调用外部系统创建工单
|
||||
result = self.hardware_interface.create_order(order_data)
|
||||
|
||||
# 5. 等待外部系统完成(通过 HTTP 回调通知)
|
||||
# process_order_finish_report 被回调时更新状态
|
||||
|
||||
return {"success": True}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 9. 现有工作站 Config 结构完整对比
|
||||
|
||||
| 特性 | BioyondReactionStation | BioyondDispensingStation | CoinCellAssemblyWorkstation |
|
||||
|------|----------------------|------------------------|-----------------------------|
|
||||
| **继承** | BioyondWorkstation | BioyondWorkstation | WorkstationBase (直接) |
|
||||
| **通信方式** | HTTP RPC | HTTP RPC | Modbus TCP |
|
||||
| **`__init__` 签名** | `(config, deck, protocol_type, **kwargs)` | `(config, deck, protocol_type, **kwargs)` | `(config, deck, address, port, debug_mode, **kwargs)` |
|
||||
| **子设备** | 5 个 BioyondReactor | 无 | 无 |
|
||||
| **Deck** | BioyondReactionDeck (6 个 WareHouse) | BioyondDispensingDeck | CoincellDeck |
|
||||
| **物料同步** | BioyondResourceSynchronizer (双向) | BioyondResourceSynchronizer (双向) | 无(本地 PLR) |
|
||||
| **status_types** | `workflow_sequence: str` | 空 | 18 个属性 (sys_status, 传感器数据等) |
|
||||
| **动作风格** | 语义化 (reactor_taken_in, ...) | 语义化 (compute_experiment_design, ...) | PLC 操作 (func_pack_device_init, ...) |
|
||||
| **post_init** | 连接监控 + HTTP 服务 + 资源同步 + 上传 deck | 继承父类 | 上传 deck |
|
||||
| **工作流管理** | workflow_mappings → 合并序列 → create_order | batch_create → wait_for_reports | PLC 握手循环 |
|
||||
|
||||
### Config 字段对比
|
||||
|
||||
| 字段 | 反应站 | 配液站 | 纽扣电池 |
|
||||
|------|--------|--------|---------|
|
||||
| `api_host` | ✅ | ✅ | — |
|
||||
| `api_key` | ✅ | ✅ | — |
|
||||
| `workflow_mappings` | ✅ (8 个工作流) | — | — |
|
||||
| `material_type_mappings` | ✅ (8 种物料) | ✅ | — |
|
||||
| `warehouse_mapping` | ✅ (6 个仓库) | ✅ (3 个仓库) | — |
|
||||
| `workflow_to_section_map` | ✅ | — | — |
|
||||
| `action_names` | ✅ | — | — |
|
||||
| `http_service_config` | ✅ | — | — |
|
||||
| `material_default_parameters` | ✅ | — | — |
|
||||
| `address` (init 参数) | — | — | ✅ |
|
||||
| `port` (init 参数) | — | — | ✅ |
|
||||
| `debug_mode` (init 参数) | — | — | ✅ |
|
||||
|
||||
233
.cursor/skills/batch-insert-reagent/SKILL.md
Normal file
233
.cursor/skills/batch-insert-reagent/SKILL.md
Normal file
@@ -0,0 +1,233 @@
|
||||
---
|
||||
name: batch-insert-reagent
|
||||
description: Batch insert reagents into Uni-Lab platform — add chemicals with CAS, SMILES, supplier info. Use when the user wants to add reagents, insert chemicals, batch register reagents, or mentions 录入试剂/添加试剂/试剂入库/reagent.
|
||||
---
|
||||
|
||||
# 批量录入试剂 Skill
|
||||
|
||||
通过云端 API 批量录入试剂信息,支持逐条或批量操作。
|
||||
|
||||
## 前置条件(缺一不可)
|
||||
|
||||
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
|
||||
|
||||
### 1. ak / sk → AUTH
|
||||
|
||||
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
|
||||
|
||||
生成 AUTH token(任选一种方式):
|
||||
|
||||
```bash
|
||||
# 方式一:Python 一行生成
|
||||
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
|
||||
|
||||
# 方式二:手动计算
|
||||
# base64(ak:sk) → Authorization: Lab <token>
|
||||
```
|
||||
|
||||
### 2. --addr → BASE URL
|
||||
|
||||
| `--addr` 值 | BASE |
|
||||
|-------------|------|
|
||||
| `test` | `https://uni-lab.test.bohrium.com` |
|
||||
| `uat` | `https://uni-lab.uat.bohrium.com` |
|
||||
| `local` | `http://127.0.0.1:48197` |
|
||||
| 不传(默认) | `https://uni-lab.bohrium.com` |
|
||||
|
||||
确认后设置:
|
||||
```bash
|
||||
BASE="<根据 addr 确定的 URL>"
|
||||
AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
|
||||
```
|
||||
|
||||
**两项全部就绪后才可发起 API 请求。**
|
||||
|
||||
## Session State
|
||||
|
||||
- `lab_uuid` — 实验室 UUID(首次通过 API #1 自动获取,**不需要问用户**)
|
||||
|
||||
## 请求约定
|
||||
|
||||
所有请求使用 `curl -s`,POST 需加 `Content-Type: application/json`。
|
||||
|
||||
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
|
||||
|
||||
---
|
||||
|
||||
## API Endpoints
|
||||
|
||||
### 1. 获取实验室信息(自动获取 lab_uuid)
|
||||
|
||||
```bash
|
||||
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
|
||||
```
|
||||
|
||||
返回:
|
||||
|
||||
```json
|
||||
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
|
||||
```
|
||||
|
||||
记住 `data.uuid` 为 `lab_uuid`。
|
||||
|
||||
### 2. 录入试剂
|
||||
|
||||
```bash
|
||||
curl -s -X POST "$BASE/api/v1/lab/reagent" \
|
||||
-H "$AUTH" -H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"lab_uuid": "<lab_uuid>",
|
||||
"cas": "<CAS号>",
|
||||
"name": "<试剂名称>",
|
||||
"molecular_formula": "<分子式>",
|
||||
"smiles": "<SMILES>",
|
||||
"stock_in_quantity": <入库数量>,
|
||||
"unit": "<单位字符串>",
|
||||
"supplier": "<供应商>",
|
||||
"production_date": "<生产日期 ISO 8601>",
|
||||
"expiry_date": "<过期日期 ISO 8601>"
|
||||
}'
|
||||
```
|
||||
|
||||
返回成功时包含试剂 UUID:
|
||||
```json
|
||||
{"code": 0, "data": {"uuid": "xxx", ...}}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 试剂字段说明
|
||||
|
||||
| 字段 | 类型 | 必填 | 说明 | 示例 |
|
||||
|------|------|------|------|------|
|
||||
| `lab_uuid` | string | 是 | 实验室 UUID(从 API #1 获取) | `"8511c672-..."` |
|
||||
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
|
||||
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
|
||||
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
|
||||
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
|
||||
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
|
||||
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
|
||||
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
|
||||
| `production_date` | string | 否 | 生产日期(ISO 8601) | `"2025-11-18T00:00:00Z"` |
|
||||
| `expiry_date` | string | 否 | 过期日期(ISO 8601) | `"2026-11-18T00:00:00Z"` |
|
||||
|
||||
### unit 单位值
|
||||
|
||||
| 值 | 单位 |
|
||||
|------|------|
|
||||
| `"mL"` | 毫升 |
|
||||
| `"L"` | 升 |
|
||||
| `"g"` | 克 |
|
||||
| `"kg"` | 千克 |
|
||||
| `"瓶"` | 瓶 |
|
||||
|
||||
> 根据试剂状态选择:液体用 `"mL"` / `"L"`,固体用 `"g"` / `"kg"`。
|
||||
|
||||
---
|
||||
|
||||
## 批量录入策略
|
||||
|
||||
### 方式一:用户提供 JSON 数组
|
||||
|
||||
用户一次性给出多条试剂数据:
|
||||
|
||||
```json
|
||||
[
|
||||
{"cas": "7732-18-3", "name": "水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 10, "unit": "mL"},
|
||||
{"cas": "64-17-5", "name": "乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 5, "unit": "L"}
|
||||
]
|
||||
```
|
||||
|
||||
Agent 自动为每条补充 `lab_uuid`、`production_date`、`expiry_date` 等字段后逐条提交。
|
||||
|
||||
Agent 循环调用 API #2 逐条录入,每条记录一次 API 调用。
|
||||
|
||||
### 方式二:用户逐个描述
|
||||
|
||||
用户口头描述试剂(如「帮我录入 500mL 的无水乙醇,Sigma 的」),agent 自行补全字段:
|
||||
|
||||
1. 根据名称查找 CAS 号、分子式、SMILES(参考下方速查表或自行推断)
|
||||
2. 构建完整的请求体
|
||||
3. 向用户确认后提交
|
||||
|
||||
### 方式三:从 CSV/表格批量导入
|
||||
|
||||
用户提供 CSV 或表格文件路径,agent 读取并解析:
|
||||
|
||||
```bash
|
||||
# 期望的 CSV 格式(首行为表头)
|
||||
cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_date,expiry_date
|
||||
7732-18-3,水,H2O,O,10,mL,农夫山泉,2025-11-18T00:00:00Z,2026-11-18T00:00:00Z
|
||||
```
|
||||
|
||||
### 执行与汇报
|
||||
|
||||
每次 API 调用后:
|
||||
1. 检查返回 `code`(0 = 成功)
|
||||
2. 记录成功/失败数量
|
||||
3. 全部完成后汇总:「共录入 N 条试剂,成功 X 条,失败 Y 条」
|
||||
4. 如有失败,列出失败的试剂名称和错误信息
|
||||
|
||||
---
|
||||
|
||||
## 常见试剂速查表
|
||||
|
||||
| 名称 | CAS | 分子式 | SMILES |
|
||||
|------|-----|--------|--------|
|
||||
| 水 | 7732-18-3 | H2O | O |
|
||||
| 乙醇 | 64-17-5 | C2H6O | CCO |
|
||||
| 甲醇 | 67-56-1 | CH4O | CO |
|
||||
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
|
||||
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
|
||||
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
|
||||
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
|
||||
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
|
||||
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
|
||||
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
|
||||
| 乙腈 | 75-05-8 | C2H3N | CC#N |
|
||||
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
|
||||
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
|
||||
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
|
||||
| 盐酸 | 7647-01-0 | HCl | Cl |
|
||||
| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
|
||||
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
|
||||
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
|
||||
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
|
||||
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
|
||||
|
||||
> 此表仅供快速参考。对于不在表中的试剂,agent 应根据化学知识推断或提示用户补充。
|
||||
|
||||
---
|
||||
|
||||
## 完整工作流 Checklist
|
||||
|
||||
```
|
||||
Task Progress:
|
||||
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
|
||||
- [ ] Step 2: 确认 --addr → 设置 BASE URL
|
||||
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
|
||||
- [ ] Step 4: 收集试剂信息(用户提供列表/逐个描述/CSV文件)
|
||||
- [ ] Step 5: 补全缺失字段(CAS、分子式、SMILES 等)
|
||||
- [ ] Step 6: 向用户确认待录入的试剂列表
|
||||
- [ ] Step 7: 循环调用 POST /lab/reagent 逐条录入(每条需含 lab_uuid)
|
||||
- [ ] Step 8: 汇总结果(成功/失败数量及详情)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 完整示例
|
||||
|
||||
用户说:「帮我录入 3 种试剂:500mL 无水乙醇、1kg 氯化钠、2L 去离子水」
|
||||
|
||||
Agent 构建的请求序列:
|
||||
|
||||
```json
|
||||
// 第 1 条
|
||||
{"lab_uuid": "8511c672-...", "cas": "64-17-5", "name": "无水乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 500, "unit": "mL", "supplier": "国药集团", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
|
||||
|
||||
// 第 2 条
|
||||
{"lab_uuid": "8511c672-...", "cas": "7647-14-5", "name": "氯化钠", "molecular_formula": "NaCl", "smiles": "[Na]Cl", "stock_in_quantity": 1, "unit": "kg", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
|
||||
|
||||
// 第 3 条
|
||||
{"lab_uuid": "8511c672-...", "cas": "7732-18-3", "name": "去离子水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 2, "unit": "L", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
|
||||
```
|
||||
301
.cursor/skills/batch-submit-experiment/SKILL.md
Normal file
301
.cursor/skills/batch-submit-experiment/SKILL.md
Normal file
@@ -0,0 +1,301 @@
|
||||
---
|
||||
name: batch-submit-experiment
|
||||
description: Batch submit experiments (notebooks) to Uni-Lab platform — list workflows, generate node_params from registry schemas, submit multiple rounds. Use when the user wants to submit experiments, create notebooks, batch run workflows, or mentions 提交实验/批量实验/notebook/实验轮次.
|
||||
---
|
||||
|
||||
# 批量提交实验指南
|
||||
|
||||
通过云端 API 批量提交实验(notebook),支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
|
||||
|
||||
## 前置条件(缺一不可)
|
||||
|
||||
使用本指南前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
|
||||
|
||||
### 1. ak / sk → AUTH
|
||||
|
||||
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
|
||||
|
||||
生成 AUTH token(任选一种方式):
|
||||
|
||||
```bash
|
||||
# 方式一:Python 一行生成
|
||||
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
|
||||
|
||||
# 方式二:手动计算
|
||||
# base64(ak:sk) → Authorization: Lab <token>
|
||||
```
|
||||
|
||||
### 2. --addr → BASE URL
|
||||
|
||||
| `--addr` 值 | BASE |
|
||||
|-------------|------|
|
||||
| `test` | `https://uni-lab.test.bohrium.com` |
|
||||
| `uat` | `https://uni-lab.uat.bohrium.com` |
|
||||
| `local` | `http://127.0.0.1:48197` |
|
||||
| 不传(默认) | `https://uni-lab.bohrium.com` |
|
||||
|
||||
确认后设置:
|
||||
```bash
|
||||
BASE="<根据 addr 确定的 URL>"
|
||||
AUTH="Authorization: Lab <上面命令输出的 token>"
|
||||
```
|
||||
|
||||
### 3. req_device_registry_upload.json(设备注册表)
|
||||
|
||||
**批量提交实验时需要本地注册表来解析 workflow 节点的参数 schema。**
|
||||
|
||||
按优先级搜索:
|
||||
|
||||
```
|
||||
<workspace 根目录>/unilabos_data/req_device_registry_upload.json
|
||||
<workspace 根目录>/req_device_registry_upload.json
|
||||
```
|
||||
|
||||
也可直接 Glob 搜索:`**/req_device_registry_upload.json`
|
||||
|
||||
找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`。
|
||||
|
||||
**如果文件不存在** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`。
|
||||
|
||||
### 4. workflow_uuid(目标工作流)
|
||||
|
||||
用户需要提供要提交的 workflow UUID。如果用户不确定,通过 API #2 列出可用 workflow 供选择。
|
||||
|
||||
**四项全部就绪后才可开始。**
|
||||
|
||||
## Session State
|
||||
|
||||
在整个对话过程中,agent 需要记住以下状态,避免重复询问用户:
|
||||
|
||||
- `lab_uuid` — 实验室 UUID(首次通过 API #1 自动获取,**不需要问用户**)
|
||||
- `workflow_uuid` — 工作流 UUID(用户提供或从列表选择)
|
||||
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名(从 API #3 获取)
|
||||
|
||||
## 请求约定
|
||||
|
||||
所有请求使用 `curl -s`,POST 需加 `Content-Type: application/json`。
|
||||
|
||||
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
|
||||
>
|
||||
> **PowerShell JSON 传参**:PowerShell 中 `-d '{"key":"value"}'` 会因引号转义失败。请将 JSON 写入临时文件,用 `-d '@tmp_body.json'`(单引号包裹 `@`,否则会被解析为 splatting 运算符)。
|
||||
|
||||
---
|
||||
|
||||
## API Endpoints
|
||||
|
||||
### 1. 获取实验室信息(自动获取 lab_uuid)
|
||||
|
||||
```bash
|
||||
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
|
||||
```
|
||||
|
||||
返回:
|
||||
|
||||
```json
|
||||
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
|
||||
```
|
||||
|
||||
记住 `data.uuid` 为 `lab_uuid`。
|
||||
|
||||
### 2. 列出可用 workflow
|
||||
|
||||
```bash
|
||||
curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
|
||||
```
|
||||
|
||||
返回 workflow 列表,展示给用户选择。列出每个 workflow 的 `uuid` 和 `name`。
|
||||
|
||||
### 3. 获取 workflow 模板详情
|
||||
|
||||
```bash
|
||||
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
|
||||
```
|
||||
|
||||
返回 workflow 的完整结构,包含所有 action 节点信息。需要从响应中提取:
|
||||
- 每个 action 节点的 `node_uuid`
|
||||
- 每个节点对应的设备 ID(`resource_template_name`)
|
||||
- 每个节点的动作名(`node_template_name`)
|
||||
- 每个节点的现有参数(`param`)
|
||||
|
||||
> **注意**:此 API 返回格式可能因版本不同而有差异。首次调用时,先打印完整响应分析结构,再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
|
||||
|
||||
### 4. 提交实验(创建 notebook)
|
||||
|
||||
```bash
|
||||
curl -s -X POST "$BASE/api/v1/lab/notebook" \
|
||||
-H "$AUTH" -H "Content-Type: application/json" \
|
||||
-d '<request_body>'
|
||||
```
|
||||
|
||||
请求体结构:
|
||||
|
||||
```json
|
||||
{
|
||||
"lab_uuid": "<lab_uuid>",
|
||||
"workflow_uuid": "<workflow_uuid>",
|
||||
"name": "<实验名称>",
|
||||
"node_params": [
|
||||
{
|
||||
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
|
||||
"datas": [
|
||||
{
|
||||
"node_uuid": "<workflow中的节点UUID>",
|
||||
"param": {},
|
||||
"sample_params": [
|
||||
{
|
||||
"container_uuid": "<容器UUID>",
|
||||
"sample_value": {
|
||||
"liquid_names": "<液体名称>",
|
||||
"volumes": 1000
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
> **注意**:`sample_uuids` 必须是 **UUID 数组**(`[]uuid.UUID`),不是字符串。无样品时传空数组 `[]`。
|
||||
|
||||
---
|
||||
|
||||
## Notebook 请求体详解
|
||||
|
||||
### node_params 结构
|
||||
|
||||
`node_params` 是一个数组,**每个元素代表一轮实验**:
|
||||
|
||||
- 要跑 2 轮 → `node_params` 有 2 个元素
|
||||
- 要跑 N 轮 → `node_params` 有 N 个元素
|
||||
|
||||
### 每轮的字段
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `sample_uuids` | array\<uuid\> | 该轮实验的样品 UUID 数组,无样品时传 `[]` |
|
||||
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
|
||||
|
||||
### datas 中每个节点
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `node_uuid` | string | workflow 模板中的节点 UUID(从 API #3 获取) |
|
||||
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
|
||||
| `sample_params` | array | 样品相关参数(液体名、体积等) |
|
||||
|
||||
### sample_params 中每条
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `container_uuid` | string | 容器 UUID |
|
||||
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
|
||||
|
||||
---
|
||||
|
||||
## 从本地注册表生成 param 模板
|
||||
|
||||
### 自动方式 — 运行脚本
|
||||
|
||||
```bash
|
||||
python scripts/gen_notebook_params.py \
|
||||
--auth <token> \
|
||||
--base <BASE_URL> \
|
||||
--workflow-uuid <workflow_uuid> \
|
||||
[--registry <path/to/req_device_registry_upload.json>] \
|
||||
[--rounds <轮次数>] \
|
||||
[--output <输出文件路径>]
|
||||
```
|
||||
|
||||
> 脚本位于本文档同级目录下的 `scripts/gen_notebook_params.py`。
|
||||
|
||||
脚本会:
|
||||
1. 调用 workflow detail API 获取所有 action 节点
|
||||
2. 读取本地注册表,为每个节点查找对应的 action schema
|
||||
3. 生成 `notebook_template.json`,包含:
|
||||
- 完整 `node_params` 骨架
|
||||
- 每个节点的 param 字段及类型说明
|
||||
- `_schema_info` 辅助信息(不提交,仅供参考)
|
||||
|
||||
### 手动方式
|
||||
|
||||
如果脚本不可用或注册表不存在:
|
||||
|
||||
1. 调用 API #3 获取 workflow 详情
|
||||
2. 找到每个 action 节点的 `node_uuid`
|
||||
3. 在本地注册表中查找对应设备的 `action_value_mappings`:
|
||||
```
|
||||
resources[].id == <device_id>
|
||||
→ resources[].class.action_value_mappings.<action_name>.schema.properties.goal.properties
|
||||
```
|
||||
4. 将 schema 中的 properties 作为 `param` 的字段模板
|
||||
5. 按轮次复制 `node_params` 元素,让用户填写每轮的具体值
|
||||
|
||||
### 注册表结构参考
|
||||
|
||||
```json
|
||||
{
|
||||
"resources": [
|
||||
{
|
||||
"id": "liquid_handler.prcxi",
|
||||
"class": {
|
||||
"module": "unilabos.devices.xxx:ClassName",
|
||||
"action_value_mappings": {
|
||||
"transfer_liquid": {
|
||||
"type": "LiquidHandlerTransfer",
|
||||
"schema": {
|
||||
"properties": {
|
||||
"goal": {
|
||||
"properties": {
|
||||
"asp_vols": {"type": "array", "items": {"type": "number"}},
|
||||
"sources": {"type": "array"}
|
||||
},
|
||||
"required": ["asp_vols", "sources"]
|
||||
}
|
||||
}
|
||||
},
|
||||
"goal_default": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
`param` 填写时,使用 `goal.properties` 中的字段名和类型。
|
||||
|
||||
---
|
||||
|
||||
## 完整工作流 Checklist
|
||||
|
||||
```
|
||||
Task Progress:
|
||||
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
|
||||
- [ ] Step 2: 确认 --addr → 设置 BASE URL
|
||||
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
|
||||
- [ ] Step 4: 确认 workflow_uuid(用户提供或从 GET #2 列表选择)
|
||||
- [ ] Step 5: GET workflow detail (#3) → 提取各节点 uuid、设备ID、动作名
|
||||
- [ ] Step 6: 定位本地注册表 req_device_registry_upload.json
|
||||
- [ ] Step 7: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
|
||||
- [ ] Step 8: 引导用户填写每轮的参数(sample_uuids、param、sample_params)
|
||||
- [ ] Step 9: 构建完整请求体 → POST /lab/notebook 提交
|
||||
- [ ] Step 10: 检查返回结果,确认提交成功
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 常见问题
|
||||
|
||||
### Q: workflow 中有多个节点,每轮都要填所有节点的参数吗?
|
||||
|
||||
是的。`datas` 数组中需要包含该轮实验涉及的每个 workflow 节点的参数。通常每个 action 节点都需要一条 `datas` 记录。
|
||||
|
||||
### Q: 多轮实验的参数完全不同吗?
|
||||
|
||||
通常每轮的 `param`(设备动作参数)可能相同或相似,但 `sample_uuids` 和 `sample_params`(样品信息)每轮不同。脚本生成模板时会按轮次复制骨架,用户只需修改差异部分。
|
||||
|
||||
### Q: 如何获取 sample_uuids 和 container_uuid?
|
||||
|
||||
这些 UUID 通常来自实验室的样品管理系统。向用户询问,或从资源树(API `GET /lab/material/download/$lab_uuid`)中查找。
|
||||
@@ -0,0 +1,394 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
从 workflow 模板详情 + 本地设备注册表生成 notebook 提交用的 node_params 模板。
|
||||
|
||||
用法:
|
||||
python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]
|
||||
|
||||
选项:
|
||||
--auth <token> Lab token(base64(ak:sk) 的结果,不含 "Lab " 前缀)
|
||||
--base <url> API 基础 URL(如 https://uni-lab.test.bohrium.com)
|
||||
--workflow-uuid <uuid> 目标 workflow 的 UUID
|
||||
--registry <path> 本地注册表文件路径(默认自动搜索)
|
||||
--rounds <n> 实验轮次数(默认 1)
|
||||
--output <path> 输出模板文件路径(默认 notebook_template.json)
|
||||
--dump-response 打印 workflow detail API 的原始响应(调试用)
|
||||
|
||||
示例:
|
||||
python gen_notebook_params.py \\
|
||||
--auth YTFmZDlkNGUtxxxx \\
|
||||
--base https://uni-lab.test.bohrium.com \\
|
||||
--workflow-uuid abc-123-def \\
|
||||
--rounds 2
|
||||
"""
|
||||
import copy
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from urllib.request import Request, urlopen
|
||||
from urllib.error import HTTPError, URLError
|
||||
|
||||
REGISTRY_FILENAME = "req_device_registry_upload.json"
|
||||
|
||||
|
||||
def find_registry(explicit_path=None):
|
||||
"""查找本地注册表文件,逻辑同 extract_device_actions.py"""
|
||||
if explicit_path:
|
||||
if os.path.isfile(explicit_path):
|
||||
return explicit_path
|
||||
if os.path.isdir(explicit_path):
|
||||
fp = os.path.join(explicit_path, REGISTRY_FILENAME)
|
||||
if os.path.isfile(fp):
|
||||
return fp
|
||||
print(f"警告: 指定的注册表路径不存在: {explicit_path}")
|
||||
return None
|
||||
|
||||
candidates = [
|
||||
os.path.join("unilabos_data", REGISTRY_FILENAME),
|
||||
REGISTRY_FILENAME,
|
||||
]
|
||||
for c in candidates:
|
||||
if os.path.isfile(c):
|
||||
return c
|
||||
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
workspace_root = os.path.normpath(os.path.join(script_dir, "..", "..", ".."))
|
||||
for c in candidates:
|
||||
path = os.path.join(workspace_root, c)
|
||||
if os.path.isfile(path):
|
||||
return path
|
||||
|
||||
cwd = os.getcwd()
|
||||
for _ in range(5):
|
||||
parent = os.path.dirname(cwd)
|
||||
if parent == cwd:
|
||||
break
|
||||
cwd = parent
|
||||
for c in candidates:
|
||||
path = os.path.join(cwd, c)
|
||||
if os.path.isfile(path):
|
||||
return path
|
||||
return None
|
||||
|
||||
|
||||
def load_registry(path):
|
||||
with open(path, "r", encoding="utf-8") as f:
|
||||
return json.load(f)
|
||||
|
||||
|
||||
def build_registry_index(registry_data):
|
||||
"""构建 device_id → action_value_mappings 的索引"""
|
||||
index = {}
|
||||
for res in registry_data.get("resources", []):
|
||||
rid = res.get("id", "")
|
||||
avm = res.get("class", {}).get("action_value_mappings", {})
|
||||
if rid and avm:
|
||||
index[rid] = avm
|
||||
return index
|
||||
|
||||
|
||||
def flatten_goal_schema(action_data):
|
||||
"""从 action_value_mappings 条目中提取 goal 层的 schema"""
|
||||
schema = action_data.get("schema", {})
|
||||
goal_schema = schema.get("properties", {}).get("goal", {})
|
||||
return goal_schema if goal_schema else schema
|
||||
|
||||
|
||||
def build_param_template(goal_schema):
|
||||
"""根据 goal schema 生成 param 模板,含类型标注"""
|
||||
properties = goal_schema.get("properties", {})
|
||||
required = set(goal_schema.get("required", []))
|
||||
template = {}
|
||||
for field_name, field_def in properties.items():
|
||||
if field_name == "unilabos_device_id":
|
||||
continue
|
||||
ftype = field_def.get("type", "any")
|
||||
default = field_def.get("default")
|
||||
if default is not None:
|
||||
template[field_name] = default
|
||||
elif ftype == "string":
|
||||
template[field_name] = f"$TODO ({ftype}, {'required' if field_name in required else 'optional'})"
|
||||
elif ftype == "number" or ftype == "integer":
|
||||
template[field_name] = 0
|
||||
elif ftype == "boolean":
|
||||
template[field_name] = False
|
||||
elif ftype == "array":
|
||||
template[field_name] = []
|
||||
elif ftype == "object":
|
||||
template[field_name] = {}
|
||||
else:
|
||||
template[field_name] = f"$TODO ({ftype})"
|
||||
return template
|
||||
|
||||
|
||||
def fetch_workflow_detail(base_url, auth_token, workflow_uuid):
|
||||
"""调用 workflow detail API"""
|
||||
url = f"{base_url}/api/v1/lab/workflow/template/detail/{workflow_uuid}"
|
||||
req = Request(url, method="GET")
|
||||
req.add_header("Authorization", f"Lab {auth_token}")
|
||||
try:
|
||||
with urlopen(req, timeout=30) as resp:
|
||||
return json.loads(resp.read().decode("utf-8"))
|
||||
except HTTPError as e:
|
||||
body = e.read().decode("utf-8", errors="replace")
|
||||
print(f"API 错误 {e.code}: {body}")
|
||||
return None
|
||||
except URLError as e:
|
||||
print(f"网络错误: {e.reason}")
|
||||
return None
|
||||
|
||||
|
||||
def extract_nodes_from_response(response):
|
||||
"""
|
||||
从 workflow detail 响应中提取 action 节点列表。
|
||||
适配多种可能的响应格式。
|
||||
|
||||
返回: [(node_uuid, resource_template_name, node_template_name, existing_param), ...]
|
||||
"""
|
||||
data = response.get("data", response)
|
||||
|
||||
search_keys = ["nodes", "workflow_nodes", "node_list", "steps"]
|
||||
nodes_raw = None
|
||||
for key in search_keys:
|
||||
if key in data and isinstance(data[key], list):
|
||||
nodes_raw = data[key]
|
||||
break
|
||||
|
||||
if nodes_raw is None:
|
||||
if isinstance(data, list):
|
||||
nodes_raw = data
|
||||
else:
|
||||
for v in data.values():
|
||||
if isinstance(v, list) and len(v) > 0 and isinstance(v[0], dict):
|
||||
nodes_raw = v
|
||||
break
|
||||
|
||||
if not nodes_raw:
|
||||
print("警告: 未能从响应中提取节点列表")
|
||||
print("响应顶层 keys:", list(data.keys()) if isinstance(data, dict) else type(data).__name__)
|
||||
return []
|
||||
|
||||
result = []
|
||||
for node in nodes_raw:
|
||||
if not isinstance(node, dict):
|
||||
continue
|
||||
|
||||
node_uuid = (
|
||||
node.get("uuid")
|
||||
or node.get("node_uuid")
|
||||
or node.get("id")
|
||||
or ""
|
||||
)
|
||||
resource_name = (
|
||||
node.get("resource_template_name")
|
||||
or node.get("device_id")
|
||||
or node.get("resource_name")
|
||||
or node.get("device_name")
|
||||
or ""
|
||||
)
|
||||
template_name = (
|
||||
node.get("node_template_name")
|
||||
or node.get("action_name")
|
||||
or node.get("template_name")
|
||||
or node.get("action")
|
||||
or node.get("name")
|
||||
or ""
|
||||
)
|
||||
existing_param = node.get("param", {}) or {}
|
||||
|
||||
if node_uuid:
|
||||
result.append((node_uuid, resource_name, template_name, existing_param))
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def generate_template(nodes, registry_index, rounds):
|
||||
"""生成 notebook 提交模板"""
|
||||
node_params = []
|
||||
schema_info = {}
|
||||
|
||||
datas_template = []
|
||||
for node_uuid, resource_name, template_name, existing_param in nodes:
|
||||
param_template = {}
|
||||
matched = False
|
||||
|
||||
if resource_name and template_name and resource_name in registry_index:
|
||||
avm = registry_index[resource_name]
|
||||
if template_name in avm:
|
||||
goal_schema = flatten_goal_schema(avm[template_name])
|
||||
param_template = build_param_template(goal_schema)
|
||||
goal_default = avm[template_name].get("goal_default", {})
|
||||
if goal_default:
|
||||
for k, v in goal_default.items():
|
||||
if k in param_template and v is not None:
|
||||
param_template[k] = v
|
||||
matched = True
|
||||
|
||||
schema_info[node_uuid] = {
|
||||
"device_id": resource_name,
|
||||
"action_name": template_name,
|
||||
"action_type": avm[template_name].get("type", ""),
|
||||
"schema_properties": list(goal_schema.get("properties", {}).keys()),
|
||||
"required": goal_schema.get("required", []),
|
||||
}
|
||||
|
||||
if not matched and existing_param:
|
||||
param_template = existing_param
|
||||
|
||||
if not matched and not existing_param:
|
||||
schema_info[node_uuid] = {
|
||||
"device_id": resource_name,
|
||||
"action_name": template_name,
|
||||
"warning": "未在本地注册表中找到匹配的 action schema",
|
||||
}
|
||||
|
||||
datas_template.append({
|
||||
"node_uuid": node_uuid,
|
||||
"param": param_template,
|
||||
"sample_params": [
|
||||
{
|
||||
"container_uuid": "$TODO_CONTAINER_UUID",
|
||||
"sample_value": {
|
||||
"liquid_names": "$TODO_LIQUID_NAME",
|
||||
"volumes": 0,
|
||||
},
|
||||
}
|
||||
],
|
||||
})
|
||||
|
||||
for i in range(rounds):
|
||||
node_params.append({
|
||||
"sample_uuids": f"$TODO_SAMPLE_UUID_ROUND_{i + 1}",
|
||||
"datas": copy.deepcopy(datas_template),
|
||||
})
|
||||
|
||||
return {
|
||||
"lab_uuid": "$TODO_LAB_UUID",
|
||||
"workflow_uuid": "$TODO_WORKFLOW_UUID",
|
||||
"name": "$TODO_EXPERIMENT_NAME",
|
||||
"node_params": node_params,
|
||||
"_schema_info(仅参考,提交时删除)": schema_info,
|
||||
}
|
||||
|
||||
|
||||
def parse_args(argv):
|
||||
"""简单的参数解析"""
|
||||
opts = {
|
||||
"auth": None,
|
||||
"base": None,
|
||||
"workflow_uuid": None,
|
||||
"registry": None,
|
||||
"rounds": 1,
|
||||
"output": "notebook_template.json",
|
||||
"dump_response": False,
|
||||
}
|
||||
i = 0
|
||||
while i < len(argv):
|
||||
arg = argv[i]
|
||||
if arg == "--auth" and i + 1 < len(argv):
|
||||
opts["auth"] = argv[i + 1]
|
||||
i += 2
|
||||
elif arg == "--base" and i + 1 < len(argv):
|
||||
opts["base"] = argv[i + 1].rstrip("/")
|
||||
i += 2
|
||||
elif arg == "--workflow-uuid" and i + 1 < len(argv):
|
||||
opts["workflow_uuid"] = argv[i + 1]
|
||||
i += 2
|
||||
elif arg == "--registry" and i + 1 < len(argv):
|
||||
opts["registry"] = argv[i + 1]
|
||||
i += 2
|
||||
elif arg == "--rounds" and i + 1 < len(argv):
|
||||
opts["rounds"] = int(argv[i + 1])
|
||||
i += 2
|
||||
elif arg == "--output" and i + 1 < len(argv):
|
||||
opts["output"] = argv[i + 1]
|
||||
i += 2
|
||||
elif arg == "--dump-response":
|
||||
opts["dump_response"] = True
|
||||
i += 1
|
||||
else:
|
||||
print(f"未知参数: {arg}")
|
||||
i += 1
|
||||
return opts
|
||||
|
||||
|
||||
def main():
|
||||
opts = parse_args(sys.argv[1:])
|
||||
|
||||
if not opts["auth"] or not opts["base"] or not opts["workflow_uuid"]:
|
||||
print("用法:")
|
||||
print(" python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]")
|
||||
print()
|
||||
print("必需参数:")
|
||||
print(" --auth <token> Lab token(base64(ak:sk))")
|
||||
print(" --base <url> API 基础 URL")
|
||||
print(" --workflow-uuid <uuid> 目标 workflow UUID")
|
||||
print()
|
||||
print("可选参数:")
|
||||
print(" --registry <path> 注册表文件路径(默认自动搜索)")
|
||||
print(" --rounds <n> 实验轮次数(默认 1)")
|
||||
print(" --output <path> 输出文件路径(默认 notebook_template.json)")
|
||||
print(" --dump-response 打印 API 原始响应")
|
||||
sys.exit(1)
|
||||
|
||||
# 1. 查找并加载本地注册表
|
||||
registry_path = find_registry(opts["registry"])
|
||||
registry_index = {}
|
||||
if registry_path:
|
||||
mtime = os.path.getmtime(registry_path)
|
||||
gen_time = datetime.fromtimestamp(mtime).strftime("%Y-%m-%d %H:%M:%S")
|
||||
print(f"注册表: {registry_path} (生成时间: {gen_time})")
|
||||
registry_data = load_registry(registry_path)
|
||||
registry_index = build_registry_index(registry_data)
|
||||
print(f"已索引 {len(registry_index)} 个设备的 action schemas")
|
||||
else:
|
||||
print("警告: 未找到本地注册表,将跳过 param 模板生成")
|
||||
print(" 提交时需要手动填写各节点的 param 字段")
|
||||
|
||||
# 2. 获取 workflow 详情
|
||||
print(f"\n正在获取 workflow 详情: {opts['workflow_uuid']}")
|
||||
response = fetch_workflow_detail(opts["base"], opts["auth"], opts["workflow_uuid"])
|
||||
if not response:
|
||||
print("错误: 无法获取 workflow 详情")
|
||||
sys.exit(1)
|
||||
|
||||
if opts["dump_response"]:
|
||||
print("\n=== API 原始响应 ===")
|
||||
print(json.dumps(response, indent=2, ensure_ascii=False)[:5000])
|
||||
print("=== 响应结束(截断至 5000 字符) ===\n")
|
||||
|
||||
# 3. 提取节点
|
||||
nodes = extract_nodes_from_response(response)
|
||||
if not nodes:
|
||||
print("错误: 未能从 workflow 中提取任何 action 节点")
|
||||
print("请使用 --dump-response 查看原始响应结构")
|
||||
sys.exit(1)
|
||||
|
||||
print(f"\n找到 {len(nodes)} 个 action 节点:")
|
||||
print(f" {'节点 UUID':<40} {'设备 ID':<30} {'动作名':<25} {'Schema'}")
|
||||
print(" " + "-" * 110)
|
||||
for node_uuid, resource_name, template_name, _ in nodes:
|
||||
matched = "✓" if (resource_name in registry_index and
|
||||
template_name in registry_index.get(resource_name, {})) else "✗"
|
||||
print(f" {node_uuid:<40} {resource_name:<30} {template_name:<25} {matched}")
|
||||
|
||||
# 4. 生成模板
|
||||
template = generate_template(nodes, registry_index, opts["rounds"])
|
||||
template["workflow_uuid"] = opts["workflow_uuid"]
|
||||
|
||||
output_path = opts["output"]
|
||||
with open(output_path, "w", encoding="utf-8") as f:
|
||||
json.dump(template, f, indent=2, ensure_ascii=False)
|
||||
print(f"\n模板已写入: {output_path}")
|
||||
print(f" 轮次数: {opts['rounds']}")
|
||||
print(f" 节点数/轮: {len(nodes)}")
|
||||
print()
|
||||
print("下一步:")
|
||||
print(" 1. 打开模板文件,将 $TODO 占位符替换为实际值")
|
||||
print(" 2. 删除 _schema_info 字段(仅供参考)")
|
||||
print(" 3. 使用 POST /api/v1/lab/notebook 提交")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -163,7 +163,7 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
|
||||
|
||||
### 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
|
||||
@@ -181,15 +181,18 @@ API 模板结构:
|
||||
## 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
|
||||
- Windows 平台必须用 curl.exe(非 PowerShell 的 curl 别名)
|
||||
|
||||
## 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}
|
||||
## 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>"}
|
||||
# - #10 获取资源树 GET /lab/material/download/{lab_uuid}
|
||||
|
||||
## Placeholder Slot 填写规则
|
||||
- unilabos_resources → ResourceSlot → {"id":"/path/name","name":"name","uuid":"xxx"}
|
||||
@@ -206,7 +209,7 @@ API 模板结构:
|
||||
### Step 5 — 验证
|
||||
|
||||
检查文件完整性:
|
||||
- [ ] `SKILL.md` 包含 10 个 API endpoint
|
||||
- [ ] `SKILL.md` 包含 API endpoint(#1 获取 lab_uuid、#2-#9 工作流/动作、#10 资源树)
|
||||
- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则(ResourceSlot / DeviceSlot / NodeSlot / ClassSlot + create_resource 特例)和本设备的 Slot 字段表
|
||||
- [ ] `action-index.md` 列出所有 action 并有描述
|
||||
- [ ] `actions/` 目录中每个 action 有对应 JSON 文件
|
||||
@@ -249,7 +252,7 @@ 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
|
||||
|
||||
|
||||
275
.cursor/skills/submit-agent-result/SKILL.md
Normal file
275
.cursor/skills/submit-agent-result/SKILL.md
Normal file
@@ -0,0 +1,275 @@
|
||||
---
|
||||
name: submit-agent-result
|
||||
description: Submit historical experiment results (agent_result) to Uni-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.
|
||||
---
|
||||
|
||||
# 提交历史实验记录指南
|
||||
|
||||
通过云端 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。
|
||||
|
||||
## 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
|
||||
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>`。
|
||||
|
||||
### 2. --addr → BASE URL
|
||||
|
||||
| `--addr` 值 | BASE |
|
||||
|-------------|------|
|
||||
| `test` | `https://uni-lab.test.bohrium.com` |
|
||||
| `uat` | `https://uni-lab.uat.bohrium.com` |
|
||||
| `local` | `http://127.0.0.1:48197` |
|
||||
| 不传(默认) | `https://uni-lab.bohrium.com` |
|
||||
|
||||
确认后设置:
|
||||
```bash
|
||||
BASE="<根据 addr 确定的 URL>"
|
||||
AUTH="Authorization: Lab <上面命令输出的 token>"
|
||||
```
|
||||
|
||||
### 3. 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://uni-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。如果用户有独立的 API Key,也可用 `Authorization: Api <key>` 替代。
|
||||
@@ -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()
|
||||
Reference in New Issue
Block a user