Compare commits

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8 Commits

Author SHA1 Message Date
Xuwznln
0f6264503a new registry sys
exp. support with add device
2026-03-21 19:26:24 +08:00
Junhan Chang
2c554182d3 add ai conventions 2026-03-19 14:14:40 +08:00
Xuwznln
6d319d91ff correct raise create resource error 2026-03-10 16:26:37 +08:00
Xuwznln
3155b2f97e ret info fix revert 2026-03-10 16:04:27 +08:00
Xuwznln
e5e30a1c7d ret info fix 2026-03-10 16:00:24 +08:00
Xuwznln
4e82f62327 fix prcxi check 2026-03-10 15:57:27 +08:00
Xuwznln
95d3456214 add create_resource schema 2026-03-10 15:27:39 +08:00
Xuwznln
38bf95b13c re signal host ready event 2026-03-10 14:13:06 +08:00
69 changed files with 5690 additions and 9021 deletions

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@@ -1,328 +0,0 @@
---
description: 设备驱动开发规范
globs: ["unilabos/devices/**/*.py"]
---
# 设备驱动开发规范
## 目录结构
```
unilabos/devices/
├── virtual/ # 虚拟设备(用于测试)
│ ├── virtual_stirrer.py
│ └── virtual_centrifuge.py
├── liquid_handling/ # 液体处理设备
├── balance/ # 天平设备
├── hplc/ # HPLC设备
├── pump_and_valve/ # 泵和阀门
├── temperature/ # 温度控制设备
├── workstation/ # 工作站(组合设备)
└── ...
```
## 设备类完整模板
```python
import asyncio
import logging
import time as time_module
from typing import Dict, Any, Optional
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
class MyDevice:
"""
设备类描述
Attributes:
device_id: 设备唯一标识
config: 设备配置字典
data: 设备状态数据
"""
_ros_node: BaseROS2DeviceNode
def __init__(
self,
device_id: str = None,
config: Dict[str, Any] = None,
**kwargs
):
"""
初始化设备
Args:
device_id: 设备ID
config: 配置字典
**kwargs: 其他参数
"""
# 兼容不同调用方式
if device_id is None and 'id' in kwargs:
device_id = kwargs.pop('id')
if config is None and 'config' in kwargs:
config = kwargs.pop('config')
self.device_id = device_id or "unknown_device"
self.config = config or {}
self.data = {}
# 从config读取参数
self.port = self.config.get('port') or kwargs.get('port', 'COM1')
self._max_value = self.config.get('max_value', 1000.0)
# 初始化日志
self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
self.logger.info(f"设备 {self.device_id} 已创建")
def post_init(self, ros_node: BaseROS2DeviceNode):
"""
ROS节点注入 - 在ROS节点创建后调用
Args:
ros_node: ROS2设备节点实例
"""
self._ros_node = ros_node
async def initialize(self) -> bool:
"""
初始化设备 - 连接硬件、设置初始状态
Returns:
bool: 初始化是否成功
"""
self.logger.info(f"初始化设备 {self.device_id}")
try:
# 执行硬件初始化
# await self._connect_hardware()
# 设置初始状态
self.data.update({
"status": "待机",
"is_running": False,
"current_value": 0.0,
})
self.logger.info(f"设备 {self.device_id} 初始化完成")
return True
except Exception as e:
self.logger.error(f"初始化失败: {e}")
self.data["status"] = f"错误: {e}"
return False
async def cleanup(self) -> bool:
"""
清理设备 - 断开连接、释放资源
Returns:
bool: 清理是否成功
"""
self.logger.info(f"清理设备 {self.device_id}")
self.data.update({
"status": "离线",
"is_running": False,
})
return True
# ==================== 设备动作 ====================
async def execute_action(
self,
param1: float,
param2: str = "",
**kwargs
) -> bool:
"""
执行设备动作
Args:
param1: 参数1
param2: 参数2可选
Returns:
bool: 动作是否成功
"""
# 类型转换和验证
try:
param1 = float(param1)
except (ValueError, TypeError) as e:
self.logger.error(f"参数类型错误: {e}")
return False
# 参数验证
if param1 > self._max_value:
self.logger.error(f"参数超出范围: {param1} > {self._max_value}")
return False
self.logger.info(f"执行动作: param1={param1}, param2={param2}")
# 更新状态
self.data.update({
"status": "运行中",
"is_running": True,
})
# 执行动作(带进度反馈)
duration = 10.0 # 秒
start_time = time_module.time()
while True:
elapsed = time_module.time() - start_time
remaining = max(0, duration - elapsed)
progress = min(100, (elapsed / duration) * 100)
self.data.update({
"status": f"运行中: {progress:.0f}%",
"remaining_time": remaining,
})
if remaining <= 0:
break
await self._ros_node.sleep(1.0)
# 完成
self.data.update({
"status": "完成",
"is_running": False,
})
self.logger.info("动作执行完成")
return True
# ==================== 状态属性 ====================
@property
def status(self) -> str:
"""设备状态 - 自动发布为ROS Topic"""
return self.data.get("status", "未知")
@property
def is_running(self) -> bool:
"""是否正在运行"""
return self.data.get("is_running", False)
@property
def current_value(self) -> float:
"""当前值"""
return self.data.get("current_value", 0.0)
# ==================== 辅助方法 ====================
def get_device_info(self) -> Dict[str, Any]:
"""获取设备信息"""
return {
"device_id": self.device_id,
"status": self.status,
"is_running": self.is_running,
"current_value": self.current_value,
}
def __str__(self) -> str:
return f"MyDevice({self.device_id}: {self.status})"
```
## 关键规则
### 1. 参数处理
所有动作方法的参数都可能以字符串形式传入,必须进行类型转换:
```python
async def my_action(self, value: float, **kwargs) -> bool:
# 始终进行类型转换
try:
value = float(value)
except (ValueError, TypeError) as e:
self.logger.error(f"参数类型错误: {e}")
return False
```
### 2. vessel 参数处理
vessel 参数可能是字符串ID或字典
```python
def extract_vessel_id(vessel: Union[str, dict]) -> str:
if isinstance(vessel, dict):
return vessel.get("id", "")
return str(vessel) if vessel else ""
```
### 3. 状态更新
使用 `self.data` 字典存储状态,属性读取状态:
```python
# 更新状态
self.data["status"] = "运行中"
self.data["current_speed"] = 300.0
# 读取状态(通过属性)
@property
def status(self) -> str:
return self.data.get("status", "待机")
```
### 4. 异步等待
使用 ROS 节点的 sleep 方法:
```python
# 正确
await self._ros_node.sleep(1.0)
# 避免(除非在纯 Python 测试环境)
await asyncio.sleep(1.0)
```
### 5. 进度反馈
长时间运行的操作需要提供进度反馈:
```python
while remaining > 0:
progress = (elapsed / total_time) * 100
self.data["status"] = f"运行中: {progress:.0f}%"
self.data["remaining_time"] = remaining
await self._ros_node.sleep(1.0)
```
## 虚拟设备
虚拟设备用于测试和演示,放在 `unilabos/devices/virtual/` 目录:
- 类名以 `Virtual` 开头
- 文件名以 `virtual_` 开头
- 模拟真实设备的行为和时序
- 使用表情符号增强日志可读性(可选)
## 工作站设备
工作站是组合多个设备的复杂设备:
```python
from unilabos.devices.workstation.workstation_base import WorkstationBase
class MyWorkstation(WorkstationBase):
"""组合工作站"""
async def execute_workflow(self, workflow: Dict[str, Any]) -> bool:
"""执行工作流"""
pass
```
## 设备注册
设备类开发完成后,需要在注册表中注册:
1. 创建/编辑 `unilabos/registry/devices/my_category.yaml`
2. 添加设备配置(参考 `virtual_device.yaml`
3. 运行 `--complete_registry` 自动生成 schema

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@@ -1,240 +0,0 @@
---
description: 协议编译器开发规范
globs: ["unilabos/compile/**/*.py"]
---
# 协议编译器开发规范
## 概述
协议编译器负责将高级实验操作(如 Stir、Add、Filter编译为设备可执行的动作序列。
## 文件命名
- 位置: `unilabos/compile/`
- 命名: `{operation}_protocol.py`
- 示例: `stir_protocol.py`, `add_protocol.py`, `filter_protocol.py`
## 协议函数模板
```python
from typing import List, Dict, Any, Union
import networkx as nx
import logging
from .utils.unit_parser import parse_time_input
from .utils.vessel_parser import extract_vessel_id
logger = logging.getLogger(__name__)
def generate_{operation}_protocol(
G: nx.DiGraph,
vessel: Union[str, dict],
param1: Union[str, float] = "0",
param2: float = 0.0,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成{操作}协议序列
Args:
G: 物理拓扑图 (NetworkX DiGraph)
vessel: 容器ID或Resource字典
param1: 参数1支持字符串单位如 "5 min"
param2: 参数2
**kwargs: 其他参数
Returns:
List[Dict]: 动作序列
Raises:
ValueError: 参数无效时
"""
# 1. 提取 vessel_id
vessel_id = extract_vessel_id(vessel)
# 2. 验证参数
if not vessel_id:
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes():
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
# 3. 解析参数(支持单位)
parsed_param1 = parse_time_input(param1) # "5 min" -> 300.0
# 4. 查找设备
device_id = find_connected_device(G, vessel_id, device_type="my_device")
# 5. 生成动作序列
action_sequence = []
action = {
"device_id": device_id,
"action_name": "my_action",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 始终使用字典格式
"param1": float(parsed_param1),
"param2": float(param2),
}
}
action_sequence.append(action)
logger.info(f"生成协议: {len(action_sequence)} 个动作")
return action_sequence
def find_connected_device(
G: nx.DiGraph,
vessel_id: str,
device_type: str = ""
) -> str:
"""
查找与容器相连的设备
Args:
G: 拓扑图
vessel_id: 容器ID
device_type: 设备类型关键字
Returns:
str: 设备ID
"""
# 查找所有匹配类型的设备
device_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '') or ''
if device_type.lower() in node_class.lower():
device_nodes.append(node)
# 检查连接
if vessel_id and device_nodes:
for device in device_nodes:
if G.has_edge(device, vessel_id) or G.has_edge(vessel_id, device):
return device
# 返回第一个可用设备
if device_nodes:
return device_nodes[0]
# 默认设备
return f"{device_type}_1"
```
## 关键规则
### 1. vessel 参数处理
vessel 参数可能是字符串或字典,需要统一处理:
```python
def extract_vessel_id(vessel: Union[str, dict]) -> str:
"""提取vessel_id"""
if isinstance(vessel, dict):
# 可能是 {"id": "xxx"} 或完整 Resource 对象
return vessel.get("id", list(vessel.values())[0].get("id", ""))
return str(vessel) if vessel else ""
```
### 2. action_kwargs 中的 vessel
始终使用 `{"id": vessel_id}` 格式传递 vessel
```python
# 正确
"action_kwargs": {
"vessel": {"id": vessel_id}, # 字符串ID包装为字典
}
# 避免
"action_kwargs": {
"vessel": vessel_resource, # 不要传递完整 Resource 对象
}
```
### 3. 单位解析
使用 `parse_time_input` 解析时间参数:
```python
from .utils.unit_parser import parse_time_input
# 支持格式: "5 min", "1 h", "300", "1.5 hours"
time_seconds = parse_time_input("5 min") # -> 300.0
time_seconds = parse_time_input(120) # -> 120.0
time_seconds = parse_time_input("1 h") # -> 3600.0
```
### 4. 参数验证
所有参数必须进行验证和类型转换:
```python
# 验证范围
if speed < 10.0 or speed > 1500.0:
logger.warning(f"速度 {speed} 超出范围,修正为 300")
speed = 300.0
# 类型转换
param = float(param) if not isinstance(param, (int, float)) else param
```
### 5. 日志记录
使用项目日志记录器:
```python
logger = logging.getLogger(__name__)
def generate_protocol(...):
logger.info(f"开始生成协议...")
logger.debug(f"参数: vessel={vessel_id}, time={time}")
logger.warning(f"参数修正: {old_value} -> {new_value}")
```
## 便捷函数
为常用操作提供便捷函数:
```python
def stir_briefly(G: nx.DiGraph, vessel: Union[str, dict],
speed: float = 300.0) -> List[Dict[str, Any]]:
"""短时间搅拌30秒"""
return generate_stir_protocol(G, vessel, time="30", stir_speed=speed)
def stir_vigorously(G: nx.DiGraph, vessel: Union[str, dict],
time: str = "5 min") -> List[Dict[str, Any]]:
"""剧烈搅拌"""
return generate_stir_protocol(G, vessel, time=time, stir_speed=800.0)
```
## 测试函数
每个协议文件应包含测试函数:
```python
def test_{operation}_protocol():
"""测试协议生成"""
# 测试参数处理
vessel_dict = {"id": "flask_1", "name": "反应瓶1"}
vessel_id = extract_vessel_id(vessel_dict)
assert vessel_id == "flask_1"
# 测试单位解析
time_s = parse_time_input("5 min")
assert time_s == 300.0
if __name__ == "__main__":
test_{operation}_protocol()
```
## 现有协议参考
- `stir_protocol.py` - 搅拌操作
- `add_protocol.py` - 添加物料
- `filter_protocol.py` - 过滤操作
- `heatchill_protocol.py` - 加热/冷却
- `separate_protocol.py` - 分离操作
- `evaporate_protocol.py` - 蒸发操作

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@@ -1,319 +0,0 @@
---
description: 注册表配置规范 (YAML)
globs: ["unilabos/registry/**/*.yaml"]
---
# 注册表配置规范
## 概述
注册表使用 YAML 格式定义设备和资源类型,是 Uni-Lab-OS 的核心配置系统。
## 目录结构
```
unilabos/registry/
├── devices/ # 设备类型注册
│ ├── virtual_device.yaml
│ ├── liquid_handler.yaml
│ └── ...
├── device_comms/ # 通信设备配置
│ ├── communication_devices.yaml
│ └── modbus_ioboard.yaml
└── resources/ # 资源类型注册
├── bioyond/
├── organic/
├── opentrons/
└── ...
```
## 设备注册表格式
### 基本结构
```yaml
device_type_id:
# 基本信息
description: "设备描述"
version: "1.0.0"
category:
- category_name
icon: "icon_device.webp"
# 类配置
class:
module: "unilabos.devices.my_module:MyClass"
type: python
# 状态类型(属性 -> ROS消息类型
status_types:
status: String
temperature: Float64
is_running: Bool
# 动作映射
action_value_mappings:
action_name:
type: UniLabJsonCommand # 或 UniLabJsonCommandAsync
goal: {}
feedback: {}
result: {}
schema: {...}
handles: {}
```
### action_value_mappings 详细格式
```yaml
action_value_mappings:
# 同步动作
my_sync_action:
type: UniLabJsonCommand
goal:
param1: param1
param2: param2
feedback: {}
result:
success: success
message: message
goal_default:
param1: 0.0
param2: ""
handles: {}
placeholder_keys:
device_param: unilabos_devices # 设备选择器
resource_param: unilabos_resources # 资源选择器
schema:
title: "动作名称参数"
description: "动作描述"
type: object
properties:
goal:
type: object
properties:
param1:
type: number
param2:
type: string
required:
- param1
feedback: {}
result:
type: object
properties:
success:
type: boolean
message:
type: string
required:
- goal
# 异步动作
my_async_action:
type: UniLabJsonCommandAsync
goal: {}
feedback:
progress: progress
current_status: status
result:
success: success
schema: {...}
```
### 自动生成的动作
以 `auto-` 开头的动作由系统自动生成:
```yaml
action_value_mappings:
auto-initialize:
type: UniLabJsonCommandAsync
goal: {}
feedback: {}
result: {}
schema: {...}
auto-cleanup:
type: UniLabJsonCommandAsync
goal: {}
feedback: {}
result: {}
schema: {...}
```
### handles 配置
用于工作流编辑器中的数据流连接:
```yaml
handles:
input:
- handler_key: "input_resource"
data_type: "resource"
label: "输入资源"
data_source: "handle"
data_key: "resources"
output:
- handler_key: "output_labware"
data_type: "resource"
label: "输出器皿"
data_source: "executor"
data_key: "created_resource.@flatten"
```
## 资源注册表格式
```yaml
resource_type_id:
description: "资源描述"
version: "1.0.0"
category:
- category_name
icon: ""
handles: []
init_param_schema: {}
class:
module: "unilabos.resources.my_module:MyResource"
type: pylabrobot # 或 python
```
### PyLabRobot 资源示例
```yaml
BIOYOND_Electrolyte_6VialCarrier:
category:
- bottle_carriers
- bioyond
class:
module: "unilabos.resources.bioyond.bottle_carriers:BIOYOND_Electrolyte_6VialCarrier"
type: pylabrobot
version: "1.0.0"
```
## 状态类型映射
Python 类型到 ROS 消息类型的映射:
| Python 类型 | ROS 消息类型 |
|------------|-------------|
| `str` | `String` |
| `bool` | `Bool` |
| `int` | `Int64` |
| `float` | `Float64` |
| `list` | `String` (序列化) |
| `dict` | `String` (序列化) |
## 自动完善注册表
使用 `--complete_registry` 参数自动生成 schema
```bash
python -m unilabos.app.main --complete_registry
```
这会:
1. 扫描设备类的方法签名
2. 自动生成 `auto-` 前缀的动作
3. 生成 JSON Schema
4. 更新 YAML 文件
## 验证规则
1. **device_type_id** 必须唯一
2. **module** 路径必须正确可导入
3. **status_types** 的类型必须是有效的 ROS 消息类型
4. **schema** 必须是有效的 JSON Schema
## 示例:完整设备配置
```yaml
virtual_stirrer:
category:
- virtual_device
description: "虚拟搅拌器设备"
version: "1.0.0"
icon: "icon_stirrer.webp"
handles: []
init_param_schema: {}
class:
module: "unilabos.devices.virtual.virtual_stirrer:VirtualStirrer"
type: python
status_types:
status: String
operation_mode: String
current_speed: Float64
is_stirring: Bool
remaining_time: Float64
action_value_mappings:
auto-initialize:
type: UniLabJsonCommandAsync
goal: {}
feedback: {}
result: {}
schema:
title: "initialize参数"
type: object
properties:
goal:
type: object
properties: {}
feedback: {}
result: {}
required:
- goal
stir:
type: UniLabJsonCommandAsync
goal:
stir_time: stir_time
stir_speed: stir_speed
settling_time: settling_time
feedback:
current_speed: current_speed
remaining_time: remaining_time
result:
success: success
goal_default:
stir_time: 60.0
stir_speed: 300.0
settling_time: 30.0
handles: {}
schema:
title: "stir参数"
description: "搅拌操作"
type: object
properties:
goal:
type: object
properties:
stir_time:
type: number
description: "搅拌时间(秒)"
stir_speed:
type: number
description: "搅拌速度RPM"
settling_time:
type: number
description: "沉降时间(秒)"
required:
- stir_time
- stir_speed
feedback:
type: object
properties:
current_speed:
type: number
remaining_time:
type: number
result:
type: object
properties:
success:
type: boolean
required:
- goal
```

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---
description: ROS 2 集成开发规范
globs: ["unilabos/ros/**/*.py", "**/*_node.py"]
---
# ROS 2 集成开发规范
## 概述
Uni-Lab-OS 使用 ROS 2 作为设备通信中间件,基于 rclpy 实现。
## 核心组件
### BaseROS2DeviceNode
设备节点基类,提供:
- ROS Topic 自动发布(状态属性)
- Action Server 自动创建(设备动作)
- 资源管理服务
- 异步任务调度
```python
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
```
### 消息转换器
```python
from unilabos.ros.msgs.message_converter import (
convert_to_ros_msg,
convert_from_ros_msg_with_mapping,
msg_converter_manager,
ros_action_to_json_schema,
ros_message_to_json_schema,
)
```
## 设备与 ROS 集成
### post_init 方法
设备类必须实现 `post_init` 方法接收 ROS 节点:
```python
class MyDevice:
_ros_node: BaseROS2DeviceNode
def post_init(self, ros_node: BaseROS2DeviceNode):
"""ROS节点注入"""
self._ros_node = ros_node
```
### 状态属性发布
设备的 `@property` 属性会自动发布为 ROS Topic
```python
class MyDevice:
@property
def temperature(self) -> float:
return self._temperature
# 自动发布到 /{namespace}/temperature Topic
```
### Topic 配置装饰器
```python
from unilabos.utils.decorator import topic_config
class MyDevice:
@property
@topic_config(period=1.0, print_publish=False, qos=10)
def fast_data(self) -> float:
"""高频数据 - 每秒发布一次"""
return self._fast_data
@property
@topic_config(period=5.0)
def slow_data(self) -> str:
"""低频数据 - 每5秒发布一次"""
return self._slow_data
```
### 订阅装饰器
```python
from unilabos.utils.decorator import subscribe
class MyDevice:
@subscribe(topic="/external/sensor_data", qos=10)
def on_sensor_data(self, msg):
"""订阅外部Topic"""
self._sensor_value = msg.data
```
## 异步操作
### 使用 ROS 节点睡眠
```python
# 推荐使用ROS节点的睡眠方法
await self._ros_node.sleep(1.0)
# 不推荐直接使用asyncio可能导致回调阻塞
await asyncio.sleep(1.0)
```
### 获取事件循环
```python
from unilabos.ros.x.rclpyx import get_event_loop
loop = get_event_loop()
```
## 消息类型
### unilabos_msgs 包
```python
from unilabos_msgs.msg import Resource
from unilabos_msgs.srv import (
ResourceAdd,
ResourceDelete,
ResourceUpdate,
ResourceList,
SerialCommand,
)
from unilabos_msgs.action import SendCmd
```
### Resource 消息结构
```python
Resource:
id: str
name: str
category: str
type: str
parent: str
children: List[str]
config: str # JSON字符串
data: str # JSON字符串
sample_id: str
pose: Pose
```
## 日志适配器
```python
from unilabos.utils.log import info, debug, warning, error, trace
class MyDevice:
def __init__(self):
# 创建设备专属日志器
self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
```
ROSLoggerAdapter 同时向自定义日志和 ROS 日志发送消息。
## Action Server
设备动作自动创建为 ROS Action Server
```yaml
# 在注册表中配置
action_value_mappings:
my_action:
type: UniLabJsonCommandAsync # 异步Action
goal: {...}
feedback: {...}
result: {...}
```
### Action 类型
- **UniLabJsonCommand**: 同步动作
- **UniLabJsonCommandAsync**: 异步动作支持feedback
## 服务客户端
```python
from rclpy.client import Client
# 调用其他节点的服务
response = await self._ros_node.call_service(
service_name="/other_node/service",
request=MyServiceRequest(...)
)
```
## 命名空间
设备节点使用命名空间隔离:
```
/{device_id}/ # 设备命名空间
/{device_id}/status # 状态Topic
/{device_id}/temperature # 温度Topic
/{device_id}/my_action # 动作Server
```
## 调试
### 查看 Topic
```bash
ros2 topic list
ros2 topic echo /{device_id}/status
```
### 查看 Action
```bash
ros2 action list
ros2 action info /{device_id}/my_action
```
### 查看 Service
```bash
ros2 service list
ros2 service call /{device_id}/resource_list unilabos_msgs/srv/ResourceList
```
## 最佳实践
1. **状态属性命名**: 使用蛇形命名法snake_case
2. **Topic 频率**: 根据数据变化频率调整,避免过高频率
3. **Action 反馈**: 长时间操作提供进度反馈
4. **错误处理**: 使用 try-except 捕获并记录错误
5. **资源清理**: 在 cleanup 方法中正确清理资源

View File

@@ -1,357 +0,0 @@
---
description: 测试开发规范
globs: ["tests/**/*.py", "**/test_*.py"]
---
# 测试开发规范
## 目录结构
```
tests/
├── __init__.py
├── devices/ # 设备测试
│ └── liquid_handling/
│ └── test_transfer_liquid.py
├── resources/ # 资源测试
│ ├── test_bottle_carrier.py
│ └── test_resourcetreeset.py
├── ros/ # ROS消息测试
│ └── msgs/
│ ├── test_basic.py
│ ├── test_conversion.py
│ └── test_mapping.py
└── workflow/ # 工作流测试
└── merge_workflow.py
```
## 测试框架
使用 pytest 作为测试框架:
```bash
# 运行所有测试
pytest tests/
# 运行特定测试文件
pytest tests/resources/test_bottle_carrier.py
# 运行特定测试函数
pytest tests/resources/test_bottle_carrier.py::test_bottle_carrier
# 显示详细输出
pytest -v tests/
# 显示打印输出
pytest -s tests/
```
## 测试文件模板
```python
import pytest
from typing import List, Dict, Any
# 导入被测试的模块
from unilabos.resources.bioyond.bottle_carriers import (
BIOYOND_Electrolyte_6VialCarrier,
)
from unilabos.resources.bioyond.bottles import (
BIOYOND_PolymerStation_Solid_Vial,
)
class TestBottleCarrier:
"""BottleCarrier 测试类"""
def setup_method(self):
"""每个测试方法前执行"""
self.carrier = BIOYOND_Electrolyte_6VialCarrier("test_carrier")
def teardown_method(self):
"""每个测试方法后执行"""
pass
def test_carrier_creation(self):
"""测试载架创建"""
assert self.carrier.name == "test_carrier"
assert len(self.carrier.sites) == 6
def test_bottle_placement(self):
"""测试瓶子放置"""
bottle = BIOYOND_PolymerStation_Solid_Vial("test_bottle")
# 测试逻辑...
assert bottle.name == "test_bottle"
def test_standalone_function():
"""独立测试函数"""
result = some_function()
assert result is True
# 参数化测试
@pytest.mark.parametrize("input,expected", [
("5 min", 300.0),
("1 h", 3600.0),
("120", 120.0),
(60, 60.0),
])
def test_time_parsing(input, expected):
"""测试时间解析"""
from unilabos.compile.utils.unit_parser import parse_time_input
assert parse_time_input(input) == expected
# 异常测试
def test_invalid_input_raises_error():
"""测试无效输入抛出异常"""
with pytest.raises(ValueError) as exc_info:
invalid_function("bad_input")
assert "invalid" in str(exc_info.value).lower()
# 跳过条件测试
@pytest.mark.skipif(
not os.environ.get("ROS_DISTRO"),
reason="需要ROS环境"
)
def test_ros_feature():
"""需要ROS环境的测试"""
pass
```
## 设备测试
### 虚拟设备测试
```python
import pytest
import asyncio
from unittest.mock import MagicMock, AsyncMock
from unilabos.devices.virtual.virtual_stirrer import VirtualStirrer
class TestVirtualStirrer:
"""VirtualStirrer 测试"""
@pytest.fixture
def stirrer(self):
"""创建测试用搅拌器"""
device = VirtualStirrer(
device_id="test_stirrer",
config={"max_speed": 1500.0, "min_speed": 50.0}
)
# Mock ROS节点
mock_node = MagicMock()
mock_node.sleep = AsyncMock(return_value=None)
device.post_init(mock_node)
return device
@pytest.mark.asyncio
async def test_initialize(self, stirrer):
"""测试初始化"""
result = await stirrer.initialize()
assert result is True
assert stirrer.status == "待机中"
@pytest.mark.asyncio
async def test_stir_action(self, stirrer):
"""测试搅拌动作"""
await stirrer.initialize()
result = await stirrer.stir(
stir_time=5.0,
stir_speed=300.0,
settling_time=2.0
)
assert result is True
assert stirrer.operation_mode == "Completed"
@pytest.mark.asyncio
async def test_stir_invalid_speed(self, stirrer):
"""测试无效速度"""
await stirrer.initialize()
# 速度超出范围
result = await stirrer.stir(
stir_time=5.0,
stir_speed=2000.0, # 超过max_speed
settling_time=0.0
)
assert result is False
assert "错误" in stirrer.status
```
### 异步测试配置
```python
# conftest.py
import pytest
import asyncio
@pytest.fixture(scope="session")
def event_loop():
"""创建事件循环"""
loop = asyncio.get_event_loop_policy().new_event_loop()
yield loop
loop.close()
```
## 资源测试
```python
import pytest
from unilabos.resources.resource_tracker import (
ResourceTreeSet,
ResourceTreeInstance,
)
def test_resource_tree_creation():
"""测试资源树创建"""
tree_set = ResourceTreeSet()
# 添加资源
resource = {"id": "res_1", "name": "Resource 1"}
tree_set.add_resource(resource)
# 验证
assert len(tree_set.all_nodes) == 1
assert tree_set.get_resource("res_1") is not None
def test_resource_tree_merge():
"""测试资源树合并"""
local_set = ResourceTreeSet()
remote_set = ResourceTreeSet()
# 设置数据...
local_set.merge_remote_resources(remote_set)
# 验证合并结果...
```
## ROS 消息测试
```python
import pytest
from unilabos.ros.msgs.message_converter import (
convert_to_ros_msg,
convert_from_ros_msg_with_mapping,
msg_converter_manager,
)
def test_message_conversion():
"""测试消息转换"""
# Python -> ROS
python_data = {"id": "test", "value": 42}
ros_msg = convert_to_ros_msg(python_data, MyMsgType)
assert ros_msg.id == "test"
assert ros_msg.value == 42
# ROS -> Python
result = convert_from_ros_msg_with_mapping(ros_msg, mapping)
assert result["id"] == "test"
```
## 协议测试
```python
import pytest
import networkx as nx
from unilabos.compile.stir_protocol import (
generate_stir_protocol,
extract_vessel_id,
)
@pytest.fixture
def topology_graph():
"""创建测试拓扑图"""
G = nx.DiGraph()
G.add_node("flask_1", **{"class": "flask"})
G.add_node("stirrer_1", **{"class": "virtual_stirrer"})
G.add_edge("stirrer_1", "flask_1")
return G
def test_generate_stir_protocol(topology_graph):
"""测试搅拌协议生成"""
actions = generate_stir_protocol(
G=topology_graph,
vessel="flask_1",
time="5 min",
stir_speed=300.0
)
assert len(actions) == 1
assert actions[0]["device_id"] == "stirrer_1"
assert actions[0]["action_name"] == "stir"
def test_extract_vessel_id():
"""测试vessel_id提取"""
# 字典格式
assert extract_vessel_id({"id": "flask_1"}) == "flask_1"
# 字符串格式
assert extract_vessel_id("flask_2") == "flask_2"
# 空值
assert extract_vessel_id("") == ""
```
## 测试标记
```python
# 慢速测试
@pytest.mark.slow
def test_long_running():
pass
# 需要网络
@pytest.mark.network
def test_network_call():
pass
# 需要ROS
@pytest.mark.ros
def test_ros_feature():
pass
```
运行特定标记的测试:
```bash
pytest -m "not slow" # 排除慢速测试
pytest -m ros # 仅ROS测试
```
## 覆盖率
```bash
# 生成覆盖率报告
pytest --cov=unilabos tests/
# HTML报告
pytest --cov=unilabos --cov-report=html tests/
```
## 最佳实践
1. **测试命名**: `test_{功能}_{场景}_{预期结果}`
2. **独立性**: 每个测试独立运行,不依赖其他测试
3. **Mock外部依赖**: 使用 unittest.mock 模拟外部服务
4. **参数化**: 使用 `@pytest.mark.parametrize` 减少重复代码
5. **fixtures**: 使用 fixtures 共享测试设置
6. **断言清晰**: 每个断言只验证一件事

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@@ -1,353 +0,0 @@
---
description: Uni-Lab-OS 实验室自动化平台开发规范 - 核心规则
globs: ["**/*.py", "**/*.yaml", "**/*.json"]
---
# Uni-Lab-OS 项目开发规范
## 项目概述
Uni-Lab-OS 是一个实验室自动化操作系统,用于连接和控制各种实验设备,实现实验工作流的自动化和标准化。
## 技术栈
- **Python 3.11** - 核心开发语言
- **ROS 2** - 设备通信中间件 (rclpy)
- **Conda/Mamba** - 包管理 (robostack-staging, conda-forge)
- **FastAPI** - Web API 服务
- **WebSocket** - 实时通信
- **NetworkX** - 拓扑图管理
- **YAML** - 配置和注册表定义
- **PyLabRobot** - 实验室自动化库集成
- **pytest** - 测试框架
- **asyncio** - 异步编程
## 项目结构
```
unilabos/
├── app/ # 应用入口、Web服务、后端
├── compile/ # 协议编译器 (stir, add, filter 等)
├── config/ # 配置管理
├── devices/ # 设备驱动 (真实/虚拟)
├── device_comms/ # 设备通信协议
├── device_mesh/ # 3D网格和可视化
├── registry/ # 设备和资源类型注册表 (YAML)
├── resources/ # 资源定义
├── ros/ # ROS 2 集成
├── utils/ # 工具函数
└── workflow/ # 工作流管理
```
## 代码规范
### Python 风格
1. **类型注解**:所有函数必须使用类型注解
```python
def transfer_liquid(
source: str,
destination: str,
volume: float,
**kwargs
) -> List[Dict[str, Any]]:
```
2. **Docstring**:使用 Google 风格的文档字符串
```python
def initialize(self) -> bool:
"""
初始化设备
Returns:
bool: 初始化是否成功
"""
```
3. **导入顺序**
- 标准库
- 第三方库
- ROS 相关 (rclpy, unilabos_msgs)
- 项目内部模块
### 异步编程
1. 设备操作方法使用 `async def`
2. 使用 `await self._ros_node.sleep()` 而非 `asyncio.sleep()`
3. 长时间运行操作需提供进度反馈
```python
async def stir(self, stir_time: float, stir_speed: float, **kwargs) -> bool:
"""执行搅拌操作"""
start_time = time_module.time()
while True:
elapsed = time_module.time() - start_time
remaining = max(0, stir_time - elapsed)
self.data.update({
"remaining_time": remaining,
"status": f"搅拌中: {stir_speed} RPM"
})
if remaining <= 0:
break
await self._ros_node.sleep(1.0)
return True
```
### 日志规范
使用项目自定义日志系统:
```python
from unilabos.utils.log import logger, info, debug, warning, error, trace
# 在设备类中使用
self.logger = logging.getLogger(f"DeviceName.{self.device_id}")
self.logger.info("设备初始化完成")
```
## 设备驱动开发
### 设备类结构
```python
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
class MyDevice:
"""设备驱动类"""
_ros_node: BaseROS2DeviceNode
def __init__(self, device_id: str = None, config: Dict[str, Any] = None, **kwargs):
self.device_id = device_id or "unknown_device"
self.config = config or {}
self.data = {} # 设备状态数据
def post_init(self, ros_node: BaseROS2DeviceNode):
"""ROS节点注入"""
self._ros_node = ros_node
async def initialize(self) -> bool:
"""初始化设备"""
pass
async def cleanup(self) -> bool:
"""清理设备"""
pass
# 状态属性 - 自动发布为 ROS Topic
@property
def status(self) -> str:
return self.data.get("status", "待机")
```
### 状态属性装饰器
```python
from unilabos.utils.decorator import topic_config
class MyDevice:
@property
@topic_config(period=1.0, qos=10) # 每秒发布一次
def temperature(self) -> float:
return self._temperature
```
### 虚拟设备
虚拟设备放置在 `unilabos/devices/virtual/` 目录下,命名为 `virtual_*.py`
## 注册表配置
### 设备注册表 (YAML)
位置: `unilabos/registry/devices/*.yaml`
```yaml
my_device_type:
category:
- my_category
description: "设备描述"
version: "1.0.0"
class:
module: "unilabos.devices.my_device:MyDevice"
type: python
status_types:
status: String
temperature: Float64
action_value_mappings:
auto-initialize:
type: UniLabJsonCommandAsync
goal: {}
feedback: {}
result: {}
schema: {...}
```
### 资源注册表 (YAML)
位置: `unilabos/registry/resources/**/*.yaml`
```yaml
my_container:
category:
- container
class:
module: "unilabos.resources.my_resource:MyContainer"
type: pylabrobot
version: "1.0.0"
```
## 协议编译器
位置: `unilabos/compile/*_protocol.py`
### 协议生成函数模板
```python
from typing import List, Dict, Any, Union
import networkx as nx
def generate_my_protocol(
G: nx.DiGraph,
vessel: Union[str, dict],
param1: float = 0.0,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成操作协议序列
Args:
G: 物理拓扑图
vessel: 容器ID或字典
param1: 参数1
Returns:
List[Dict]: 动作序列
"""
# 提取vessel_id
vessel_id = vessel if isinstance(vessel, str) else vessel.get("id", "")
# 查找设备
device_id = find_connected_device(G, vessel_id)
# 生成动作
action_sequence = [{
"device_id": device_id,
"action_name": "my_action",
"action_kwargs": {
"vessel": {"id": vessel_id},
"param1": float(param1)
}
}]
return action_sequence
```
## 测试规范
### 测试文件位置
- 单元测试: `tests/` 目录
- 设备测试: `tests/devices/`
- 资源测试: `tests/resources/`
- ROS消息测试: `tests/ros/msgs/`
### 测试命名
```python
# tests/devices/my_device/test_my_device.py
import pytest
def test_device_initialization():
"""测试设备初始化"""
pass
def test_device_action():
"""测试设备动作"""
pass
```
## 错误处理
```python
from unilabos.utils.exception import UniLabException
try:
result = await device.execute_action()
except ValueError as e:
self.logger.error(f"参数错误: {e}")
self.data["status"] = "错误: 参数无效"
return False
except Exception as e:
self.logger.error(f"执行失败: {e}")
raise
```
## 配置管理
```python
from unilabos.config.config import BasicConfig, HTTPConfig
# 读取配置
port = BasicConfig.port
is_host = BasicConfig.is_host_mode
# 配置文件: local_config.py
```
## 常用工具
### 单例模式
```python
from unilabos.utils.decorator import singleton
@singleton
class MyManager:
pass
```
### 类型检查
```python
from unilabos.utils.type_check import NoAliasDumper
yaml.dump(data, f, Dumper=NoAliasDumper)
```
### 导入管理
```python
from unilabos.utils.import_manager import get_class
device_class = get_class("unilabos.devices.my_device:MyDevice")
```
## Git 提交规范
提交信息格式:
```
<type>(<scope>): <subject>
<body>
```
类型:
- `feat`: 新功能
- `fix`: 修复bug
- `docs`: 文档更新
- `refactor`: 重构
- `test`: 测试相关
- `chore`: 构建/工具相关
示例:
```
feat(devices): 添加虚拟搅拌器设备
- 实现VirtualStirrer类
- 支持定时搅拌和持续搅拌模式
- 添加速度验证逻辑
```

View File

@@ -1,24 +0,0 @@
---
name: add-device
description: Guide for adding new devices to Uni-Lab-OS (接入新设备). Walks through device category selection (thing model), communication protocol, command protocol collection, driver creation, registry YAML, and graph file setup. Use when the user wants to add/integrate a new device, create a device driver, write a device class, configure device registry, or mentions 接入设备/添加设备/设备驱动/物模型.
---
# 添加新设备到 Uni-Lab-OS
**第一步:** 使用 Read 工具读取 `docs/ai_guides/add_device.md`,获取完整的设备接入指南并严格遵循。
该指南包含:
- 8 步完整流程(设备类别、通信协议、指令收集、接口对齐、驱动创建、注册表、图文件、验证)
- 所有物模型代码模板(注射泵、电磁阀、蠕动泵、温控、电机等)
- 通信协议代码片段Serial、Modbus、TCP、HTTP、OPC UA
- 现有设备接口快照用于第四步对齐包含参数名、status_types、方法签名
- 常见错误检查清单
**Cursor 工具映射:**
| 指南中的操作 | Cursor 中使用的工具 |
|---|---|
| 向用户确认设备类别、协议等信息 | 使用 AskQuestion 工具 |
| 搜索已有设备注册表 | 使用 Grep 在 `unilabos/registry/devices/` 中搜索 |
| 读取用户提供的协议文档/SDK 代码 | 使用 Read 工具 |
| 第四步对齐:查找同类设备接口 | 优先使用 Grep 搜索仓库中的最新注册表;指南中的「现有设备接口快照」作为兜底参考 |

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@@ -1,323 +0,0 @@
---
name: add-protocol
description: Guide for adding new experiment protocols to Uni-Lab-OS (添加新实验操作协议). Walks through ROS Action definition, Pydantic model creation, protocol generator implementation, and registration. Use when the user wants to add a new protocol, create a compile function, implement an experiment operation, or mentions 协议/protocol/编译/compile/实验操作.
---
# 添加新实验操作协议Protocol
Protocol 是对实验有意义的完整动作(如泵转移、过滤、溶解),需要多设备协同。`compile/` 中的生成函数根据设备连接图将抽象操作"编译"为设备指令序列。
添加一个 Protocol 需修改 **6 个文件**,按以下流程执行。
---
## 第一步:确认协议信息
向用户确认:
| 信息 | 示例 |
|------|------|
| 协议英文名 | `MyNewProtocol` |
| 操作描述 | 将固体样品研磨至目标粒径 |
| Goal 参数(必需 + 可选) | `vessel: dict`, `time: float = 300.0` |
| Result 字段 | `success: bool`, `message: str` |
| 需要哪些设备协同 | 研磨器、搅拌器 |
---
## 第二步:创建 ROS Action 定义
路径:`unilabos_msgs/action/<ActionName>.action`
三段式结构Goal / Result / Feedback`---` 分隔:
```
# Goal
Resource vessel
float64 time
string mode
---
# Result
bool success
string return_info
---
# Feedback
string status
string current_device
builtin_interfaces/Duration time_spent
builtin_interfaces/Duration time_remaining
```
**类型映射:**
| Python 类型 | ROS 类型 | 说明 |
|------------|----------|------|
| `dict` | `Resource` | 容器/设备引用,自定义消息类型 |
| `float` | `float64` | |
| `int` | `int32` | |
| `str` | `string` | |
| `bool` | `bool` | |
> `Resource` 是 `unilabos_msgs/msg/Resource.msg` 中定义的自定义消息类型。
---
## 第三步:注册 Action 到 CMakeLists
`unilabos_msgs/CMakeLists.txt``set(action_files ...)` 块中添加:
```cmake
"action/MyNewAction.action"
```
> 调试时需编译:`cd unilabos_msgs && colcon build && source ./install/local_setup.sh && cd ..`
> PR 合并后 CI/CD 自动发布,`mamba update ros-humble-unilabos-msgs` 即可。
---
## 第四步:创建 Pydantic 模型
`unilabos/messages/__init__.py` 中添加(位于 `# Start Protocols``# End Protocols` 之间):
```python
class MyNewProtocol(BaseModel):
# === 必需参数 ===
vessel: dict = Field(..., description="目标容器")
# === 可选参数 ===
time: float = Field(300.0, description="操作时间 (秒)")
mode: str = Field("default", description="操作模式")
def model_post_init(self, __context):
"""参数验证和修正"""
if self.time <= 0:
self.time = 300.0
```
**规则:**
- 参数名必须与 `.action` 文件中 Goal 字段完全一致
- `dict` 类型对应 `.action` 中的 `Resource`
- 将类名加入文件末尾的 `__all__` 列表
---
## 第五步:实现协议生成函数
路径:`unilabos/compile/<protocol_name>_protocol.py`
```python
import networkx as nx
from typing import List, Dict, Any
def generate_my_new_protocol(
G: nx.DiGraph,
vessel: dict,
time: float = 300.0,
mode: str = "default",
**kwargs,
) -> List[Dict[str, Any]]:
"""将 MyNewProtocol 编译为设备动作序列。
Args:
G: 设备连接图NetworkX节点为设备/容器,边为物理连接
vessel: 目标容器 {"id": "reactor_1"}
time: 操作时间(秒)
mode: 操作模式
Returns:
动作列表,每个元素为:
- dict: 单步动作
- list[dict]: 并行动作
"""
from unilabos.compile.utils.vessel_parser import get_vessel
vessel_id, vessel_data = get_vessel(vessel)
actions = []
# 查找相关设备(通过图的连接关系)
# 生成动作序列
actions.append({
"device_id": "target_device_id",
"action_name": "some_action",
"action_kwargs": {"param": "value"}
})
# 等待
actions.append({
"action_name": "wait",
"action_kwargs": {"time": time}
})
return actions
```
### 动作字典格式
```python
# 单步动作(发给子设备)
{"device_id": "pump_1", "action_name": "set_position", "action_kwargs": {"position": 10.0}}
# 发给工作站自身
{"device_id": "self", "action_name": "my_action", "action_kwargs": {...}}
# 等待
{"action_name": "wait", "action_kwargs": {"time": 5.0}}
# 并行动作(列表嵌套)
[
{"device_id": "pump_1", "action_name": "set_position", "action_kwargs": {"position": 10.0}},
{"device_id": "stirrer_1", "action_name": "start_stir", "action_kwargs": {"stir_speed": 300}}
]
```
### 关于 `vessel` 参数类型
现有协议的 `vessel` 参数类型不统一:
- 新协议趋势:使用 `dict`(如 `{"id": "reactor_1"}`
- 旧协议:使用 `str`(如 `"reactor_1"`
- 兼容写法:`Union[str, dict]`
**建议新协议统一使用 `dict` 类型**,通过 `get_vessel()` 兼容两种输入。
### 公共工具函数(`unilabos/compile/utils/`
| 函数 | 用途 |
|------|------|
| `get_vessel(vessel)` | 解析容器参数为 `(vessel_id, vessel_data)`,兼容 dict 和 str |
| `find_solvent_vessel(G, solvent)` | 根据溶剂名查找容器(精确→命名规则→模糊→液体类型) |
| `find_reagent_vessel(G, reagent)` | 根据试剂名查找容器(支持固体和液体) |
| `find_connected_stirrer(G, vessel)` | 查找与容器相连的搅拌器 |
| `find_solid_dispenser(G)` | 查找固体加样器 |
### 协议内专属查找函数
许多协议在自己的文件内定义了专属的 `find_*` 函数(不在 `utils/` 中)。编写新协议时,优先复用 `utils/` 中的公共函数;如需特殊查找逻辑,在协议文件内部定义即可:
```python
def find_my_special_device(G: nx.DiGraph, vessel: str) -> str:
"""查找与容器相关的特殊设备"""
for node in G.nodes():
if 'my_device_type' in G.nodes[node].get('class', '').lower():
return node
raise ValueError("未找到特殊设备")
```
### 复用已有协议
复杂协议通常组合已有协议:
```python
from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
actions.extend(generate_pump_protocol_with_rinsing(
G, from_vessel=solvent_vessel, to_vessel=vessel, volume=volume
))
```
### 图查询模式
```python
# 查找与容器相连的特定类型设备
for neighbor in G.neighbors(vessel_id):
node_data = G.nodes[neighbor]
if "heater" in node_data.get("class", ""):
heater_id = neighbor
break
# 查找最短路径(泵转移)
path = nx.shortest_path(G, source=from_vessel_id, target=to_vessel_id)
```
---
## 第六步:注册协议生成函数
`unilabos/compile/__init__.py` 中:
1. 顶部添加导入:
```python
from .my_new_protocol import generate_my_new_protocol
```
2.`action_protocol_generators` 字典中添加映射:
```python
action_protocol_generators = {
# ... 已有协议
MyNewProtocol: generate_my_new_protocol,
}
```
---
## 第七步:配置图文件
在工作站的图文件中,将协议名加入 `protocol_type`
```json
{
"id": "my_station",
"class": "workstation",
"config": {
"protocol_type": ["PumpTransferProtocol", "MyNewProtocol"]
}
}
```
---
## 第八步:验证
```bash
# 1. 模块可导入
python -c "from unilabos.messages import MyNewProtocol; print(MyNewProtocol.model_fields)"
# 2. 生成函数可导入
python -c "from unilabos.compile import action_protocol_generators; print(list(action_protocol_generators.keys()))"
# 3. 启动测试(可选)
unilab -g <graph>.json --complete_registry
```
---
## 工作流清单
```
协议接入进度:
- [ ] 1. 确认协议名、参数、涉及设备
- [ ] 2. 创建 .action 文件 (unilabos_msgs/action/<Name>.action)
- [ ] 3. 注册到 CMakeLists.txt
- [ ] 4. 创建 Pydantic 模型 (unilabos/messages/__init__.py) + 更新 __all__
- [ ] 5. 实现生成函数 (unilabos/compile/<name>_protocol.py)
- [ ] 6. 注册到 compile/__init__.py
- [ ] 7. 配置图文件 protocol_type
- [ ] 8. 验证
```
---
## 高级模式
实现复杂协议时,详见 [reference.md](reference.md)协议运行时数据流、mock graph 测试模式、单位解析工具(`unit_parser.py`)、复杂协议组合模式(以 dissolve 为例)。
---
## 现有协议速查
| 协议 | Pydantic 类 | 生成函数 | 核心参数 |
|------|-------------|---------|---------|
| 泵转移 | `PumpTransferProtocol` | `generate_pump_protocol_with_rinsing` | `from_vessel, to_vessel, volume` |
| 简单转移 | `TransferProtocol` | `generate_pump_protocol` | `from_vessel, to_vessel, volume` |
| 加样 | `AddProtocol` | `generate_add_protocol` | `vessel, reagent, volume` |
| 过滤 | `FilterProtocol` | `generate_filter_protocol` | `vessel, filtrate_vessel` |
| 溶解 | `DissolveProtocol` | `generate_dissolve_protocol` | `vessel, solvent, volume` |
| 加热/冷却 | `HeatChillProtocol` | `generate_heat_chill_protocol` | `vessel, temp, time` |
| 搅拌 | `StirProtocol` | `generate_stir_protocol` | `vessel, time` |
| 分离 | `SeparateProtocol` | `generate_separate_protocol` | `from_vessel, separation_vessel, solvent` |
| 蒸发 | `EvaporateProtocol` | `generate_evaporate_protocol` | `vessel, pressure, temp, time` |
| 清洗 | `CleanProtocol` | `generate_clean_protocol` | `vessel, solvent, volume` |
| 离心 | `CentrifugeProtocol` | `generate_centrifuge_protocol` | `vessel, speed, time` |
| 抽气充气 | `EvacuateAndRefillProtocol` | `generate_evacuateandrefill_protocol` | `vessel, gas` |

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@@ -1,207 +0,0 @@
# 协议高级参考
本文件是 SKILL.md 的补充包含协议运行时数据流、测试模式、单位解析工具和复杂协议组合模式。Agent 在需要实现这些功能时按需阅读。
---
## 1. 协议运行时数据流
从图文件到协议执行的完整链路:
```
实验图 JSON
↓ graphio.read_node_link_json()
physical_setup_graph (NetworkX DiGraph)
↓ ROS2WorkstationNode._setup_protocol_names(protocol_type)
为每个 protocol_name 创建 ActionServer
↓ 收到 Action Goal
_create_protocol_execute_callback()
↓ convert_from_ros_msg_with_mapping(goal, mapping)
protocol_kwargs (Python dict)
↓ 向 Host 查询 Resource 类型参数的当前状态
protocol_kwargs 更新vessel 带上 children、data 等)
↓ protocol_steps_generator(G=physical_setup_graph, **protocol_kwargs)
List[Dict] 动作序列
↓ 逐步 execute_single_action / 并行 create_task
子设备 ActionClient 执行
```
### `_setup_protocol_names` 核心逻辑
```python
def _setup_protocol_names(self, protocol_type):
if isinstance(protocol_type, str):
self.protocol_names = [p.strip() for p in protocol_type.split(",")]
else:
self.protocol_names = protocol_type
self.protocol_action_mappings = {}
for protocol_name in self.protocol_names:
protocol_type = globals()[protocol_name] # 从 messages 模块取 Pydantic 类
self.protocol_action_mappings[protocol_name] = get_action_type(protocol_type)
```
### `_create_protocol_execute_callback` 关键步骤
1. `convert_from_ros_msg_with_mapping(goal, action_value_mapping["goal"])` — ROS Goal → Python dict
2.`Resource` 类型字段,通过 `resource_get` Service 查询 Host 的最新资源状态
3. `protocol_steps_generator(G=physical_setup_graph, **protocol_kwargs)` — 调用编译函数
4. 遍历 steps`dict` 串行执行,`list` 并行执行
5. `execute_single_action` 通过 `_action_clients[device_id]` 向子设备发送 Action Goal
6. 执行完毕后通过 `resource_update` Service 更新资源状态
---
## 2. 测试模式
### 2.1 协议文件内测试函数
许多协议文件末尾有 `test_*` 函数,主要测试参数解析工具:
```python
def test_dissolve_protocol():
"""测试溶解协议的各种参数解析"""
volumes = ["10 mL", "?", 10.0, "1 L", "500 μL"]
for vol in volumes:
result = parse_volume_input(vol)
print(f"体积解析: {vol}{result}mL")
masses = ["2.9 g", "?", 2.5, "500 mg"]
for mass in masses:
result = parse_mass_input(mass)
print(f"质量解析: {mass}{result}g")
```
### 2.2 使用 mock graph 测试协议生成器
推荐的端到端测试模式:
```python
import pytest
import networkx as nx
from unilabos.compile.stir_protocol import generate_stir_protocol
@pytest.fixture
def topology_graph():
"""创建测试拓扑图"""
G = nx.DiGraph()
G.add_node("flask_1", **{"class": "flask", "type": "container"})
G.add_node("stirrer_1", **{"class": "virtual_stirrer", "type": "device"})
G.add_edge("stirrer_1", "flask_1")
return G
def test_generate_stir_protocol(topology_graph):
"""测试搅拌协议生成"""
actions = generate_stir_protocol(
G=topology_graph,
vessel="flask_1",
time="5 min",
stir_speed=300.0
)
assert len(actions) >= 1
assert actions[0]["device_id"] == "stirrer_1"
```
**要点:**
-`nx.DiGraph()` 构建最小拓扑
- `add_node(id, **attrs)` 设置 `class``type``data`
- `add_edge(src, dst)` 建立物理连接
- 协议内的 `find_*` 函数依赖这些节点和边
---
## 3. 单位解析工具
路径:`unilabos/compile/utils/unit_parser.py`
| 函数 | 输入 | 返回 | 默认值 |
|------|------|------|--------|
| `parse_volume_input(input, default_unit)` | `"100 mL"`, `"2.5 L"`, `"500 μL"`, `10.0`, `"?"` | mL (float) | 50.0 |
| `parse_mass_input(input)` | `"19.3 g"`, `"500 mg"`, `2.5`, `"?"` | g (float) | 1.0 |
| `parse_time_input(input)` | `"30 min"`, `"1 h"`, `"300"`, `60.0`, `"?"` | 秒 (float) | 60.0 |
支持的单位:
- **体积**: mL, L, μL/uL, milliliter, liter, microliter
- **质量**: g, mg, kg, gram, milligram, kilogram
- **时间**: s/sec/second, min/minute, h/hr/hour, d/day
特殊值 `"?"``"unknown"``"tbd"` 返回默认值。
---
## 4. 复杂协议组合模式
`dissolve_protocol` 为例,展示如何组合多个子操作:
### 整体流程
```
1. 解析参数 (parse_volume_input, parse_mass_input, parse_time_input)
2. 设备发现 (find_connected_heatchill, find_connected_stirrer, find_solid_dispenser)
3. 判断溶解类型 (液体 vs 固体)
4. 组合动作序列:
a. heat_chill_start / start_stir (启动加热/搅拌)
b. wait (等待温度稳定)
c. pump_protocol_with_rinsing (液体转移, 通过 extend 拼接)
或 add_solid (固体加样)
d. heat_chill / stir / wait (溶解等待)
e. heat_chill_stop (停止加热)
```
### 关键代码模式
**设备发现 → 条件组合:**
```python
heatchill_id = find_connected_heatchill(G, vessel_id)
stirrer_id = find_connected_stirrer(G, vessel_id)
solid_dispenser_id = find_solid_dispenser(G)
actions = []
# 启动阶段
if heatchill_id and temp > 25.0:
actions.append({
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {"vessel": {"id": vessel_id}, "temp": temp}
})
actions.append({"action_name": "wait", "action_kwargs": {"time": 30}})
elif stirrer_id:
actions.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {"vessel": {"id": vessel_id}, "stir_speed": stir_speed}
})
# 转移阶段(复用已有协议)
pump_actions = generate_pump_protocol_with_rinsing(
G=G, from_vessel=solvent_vessel, to_vessel=vessel_id, volume=volume
)
actions.extend(pump_actions)
# 等待阶段
if heatchill_id:
actions.append({
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {"vessel": {"id": vessel_id}, "temp": temp, "time": time}
})
else:
actions.append({"action_name": "wait", "action_kwargs": {"time": time}})
```
---
## 5. 关键路径
| 内容 | 路径 |
|------|------|
| 协议执行回调 | `unilabos/ros/nodes/presets/workstation.py` |
| ROS 消息映射 | `unilabos/ros/msgs/message_converter.py` |
| 物理拓扑图 | `unilabos/resources/graphio.py` (`physical_setup_graph`) |
| 单位解析 | `unilabos/compile/utils/unit_parser.py` |
| 容器解析 | `unilabos/compile/utils/vessel_parser.py` |
| 溶解协议(组合示例) | `unilabos/compile/dissolve_protocol.py` |

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@@ -1,371 +0,0 @@
---
name: add-resource
description: Guide for adding new resources (materials, bottles, carriers, decks, warehouses) to Uni-Lab-OS (添加新物料/资源). Covers Bottle, Carrier, Deck, WareHouse definitions and registry YAML. Use when the user wants to add resources, define materials, create a deck layout, add bottles/carriers/plates, or mentions 物料/资源/resource/bottle/carrier/deck/plate/warehouse.
---
# 添加新物料资源
Uni-Lab-OS 的资源体系基于 PyLabRobot通过扩展实现 Bottle、Carrier、WareHouse、Deck 等实验室物料管理。
---
## 第一步:确认资源类型
向用户确认需要添加的资源类型:
| 类型 | 基类 | 用途 | 示例 |
|------|------|------|------|
| **Bottle** | `Well` (PyLabRobot) | 单个容器(瓶、小瓶、烧杯、反应器) | 试剂瓶、粉末瓶 |
| **BottleCarrier** | `ItemizedCarrier` | 多槽位载架(放多个 Bottle | 6 位试剂架、枪头盒 |
| **WareHouse** | `ItemizedCarrier` | 堆栈/仓库(放多个 Carrier | 4x4 堆栈 |
| **Deck** | `Deck` (PyLabRobot) | 工作站台面(放多个 WareHouse | 反应站 Deck |
**层级关系:** `Deck``WareHouse``BottleCarrier``Bottle`
还需确认:
- 资源所属的项目/场景(如 bioyond、battery、通用
- 尺寸参数(直径、高度、最大容积等)
- 布局参数(行列数、间距等)
---
## 第二步:创建资源定义
### 文件位置
```
unilabos/resources/
├── <project>/ # 按项目分组
│ ├── bottles.py # Bottle 工厂函数
│ ├── bottle_carriers.py # Carrier 工厂函数
│ ├── warehouses.py # WareHouse 工厂函数
│ └── decks.py # Deck 类定义
├── itemized_carrier.py # Bottle, BottleCarrier, ItemizedCarrier 基类
├── warehouse.py # WareHouse 基类
└── container.py # 通用容器
```
### 2A. 添加 Bottle工厂函数
```python
from unilabos.resources.itemized_carrier import Bottle
def My_Reagent_Bottle(
name: str,
diameter: float = 70.0, # 瓶体直径 (mm)
height: float = 120.0, # 瓶体高度 (mm)
max_volume: float = 500000.0, # 最大容积 (μL)
barcode: str = None,
) -> Bottle:
"""创建试剂瓶"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="My_Reagent_Bottle", # 唯一标识,用于注册表和物料映射
)
```
**Bottle 参数:**
- `name`: 实例名称(运行时唯一)
- `diameter`: 瓶体直径 (mm)
- `height`: 瓶体高度 (mm)
- `max_volume`: 最大容积 (**μL**注意单位500mL = 500000)
- `barcode`: 条形码(可选)
- `model`: 模型标识,与注册表 key 一致
### 2B. 添加 BottleCarrier工厂函数
```python
from pylabrobot.resources import ResourceHolder
from pylabrobot.resources.carrier import create_ordered_items_2d
from unilabos.resources.itemized_carrier import BottleCarrier
def My_6SlotCarrier(name: str) -> BottleCarrier:
"""创建 3x2 六槽位载架"""
sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=3, # 列数
num_items_y=2, # 行数
dx=10.0, # X 起始偏移
dy=10.0, # Y 起始偏移
dz=5.0, # Z 偏移
item_dx=42.0, # X 间距
item_dy=35.0, # Y 间距
size_x=20.0, # 槽位宽
size_y=20.0, # 槽位深
size_z=50.0, # 槽位高
)
carrier = BottleCarrier(
name=name,
size_x=146.0, # 载架总宽
size_y=80.0, # 载架总深
size_z=55.0, # 载架总高
sites=sites,
model="My_6SlotCarrier",
)
carrier.num_items_x = 3
carrier.num_items_y = 2
carrier.num_items_z = 1
# 预装 Bottle可选
ordering = ["A01", "A02", "A03", "B01", "B02", "B03"]
for i in range(6):
carrier[i] = My_Reagent_Bottle(f"{ordering[i]}")
return carrier
```
### 2C. 添加 WareHouse工厂函数
```python
from unilabos.resources.warehouse import warehouse_factory
def my_warehouse_4x4(name: str) -> "WareHouse":
"""创建 4行x4列 堆栈仓库"""
return warehouse_factory(
name=name,
num_items_x=4, # 列数
num_items_y=4, # 行数
num_items_z=1, # 层数(通常为 1
dx=137.0, # X 起始偏移
dy=96.0, # Y 起始偏移
dz=120.0, # Z 起始偏移
item_dx=137.0, # X 间距
item_dy=125.0, # Y 间距
item_dz=10.0, # Z 间距(多层时用)
resource_size_x=127.0, # 槽位宽
resource_size_y=85.0, # 槽位深
resource_size_z=100.0, # 槽位高
model="my_warehouse_4x4",
)
```
**`warehouse_factory` 参数说明:**
| 参数 | 说明 |
|------|------|
| `num_items_x/y/z` | 列数/行数/层数 |
| `dx, dy, dz` | 第一个槽位的起始坐标偏移 |
| `item_dx, item_dy, item_dz` | 相邻槽位间距 |
| `resource_size_x/y/z` | 单个槽位的物理尺寸 |
| `col_offset` | 列命名偏移(如设 4 则从 A05 开始) |
| `row_offset` | 行命名偏移(如设 5 则从 F 行开始) |
| `layout` | 排序方式:`"col-major"`(列优先,默认)/ `"row-major"`(行优先) |
| `removed_positions` | 要移除的位置索引列表 |
自动生成 `ResourceHolder` 槽位,命名规则为 `A01, B01, C01, D01, A02, ...`(列优先)或 `A01, A02, A03, A04, B01, ...`(行优先)。
### 2D. 添加 Deck类定义
```python
from pylabrobot.resources import Deck, Coordinate
class MyStation_Deck(Deck):
def __init__(
self,
name: str = "MyStation_Deck",
size_x: float = 2700.0,
size_y: float = 1080.0,
size_z: float = 1500.0,
category: str = "deck",
setup: bool = False,
) -> None:
super().__init__(name=name, size_x=size_x, size_y=size_y, size_z=size_z)
if setup:
self.setup()
def setup(self) -> None:
self.warehouses = {
"仓库A": my_warehouse_4x4("仓库A"),
"仓库B": my_warehouse_4x4("仓库B"),
}
self.warehouse_locations = {
"仓库A": Coordinate(-200.0, 400.0, 0.0),
"仓库B": Coordinate(2350.0, 400.0, 0.0),
}
for wh_name, wh in self.warehouses.items():
self.assign_child_resource(wh, location=self.warehouse_locations[wh_name])
```
**Deck 要点:**
- 继承 `pylabrobot.resources.Deck`
- `setup()` 创建 WareHouse 并通过 `assign_child_resource` 放置到指定坐标
- `setup` 参数控制是否在构造时自动调用 `setup()`(图文件中通过 `config.setup: true` 触发)
---
## 第三步:创建注册表 YAML
路径:`unilabos/registry/resources/<project>/<type>.yaml`
### Bottle 注册
```yaml
My_Reagent_Bottle:
category:
- bottles
class:
module: unilabos.resources.my_project.bottles:My_Reagent_Bottle
type: pylabrobot
description: 我的试剂瓶
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
```
### Carrier 注册
```yaml
My_6SlotCarrier:
category:
- bottle_carriers
class:
module: unilabos.resources.my_project.bottle_carriers:My_6SlotCarrier
type: pylabrobot
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
```
### Deck 注册
```yaml
MyStation_Deck:
category:
- deck
class:
module: unilabos.resources.my_project.decks:MyStation_Deck
type: pylabrobot
description: 我的工作站 Deck
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
```
**注册表规则:**
- `class.module` 格式为 `python.module.path:ClassName_or_FunctionName`
- `class.type` 固定为 `pylabrobot`
- Key`My_Reagent_Bottle`)必须与工厂函数名 / 类名一致
- `category` 按类型标注(`bottles`, `bottle_carriers`, `deck` 等)
---
## 第四步:在图文件中引用
### Deck 在工作站中的引用
工作站节点通过 `deck` 字段引用Deck 作为子节点:
```json
{
"id": "my_station",
"children": ["my_deck"],
"deck": {
"data": {
"_resource_child_name": "my_deck",
"_resource_type": "unilabos.resources.my_project.decks:MyStation_Deck"
}
}
},
{
"id": "my_deck",
"parent": "my_station",
"type": "deck",
"class": "MyStation_Deck",
"config": {"type": "MyStation_Deck", "setup": true}
}
```
### 物料类型映射(外部系统对接时)
如果工作站需要与外部系统同步物料,在 config 中配置 `material_type_mappings`
```json
"material_type_mappings": {
"My_Reagent_Bottle": ["试剂瓶", "external-type-uuid"],
"My_6SlotCarrier": ["六槽载架", "external-type-uuid"]
}
```
---
## 第五步:注册 PLR 扩展(如需要)
如果添加了新的 Deck 类,需要在 `unilabos/resources/plr_additional_res_reg.py` 中导入,使 `find_subclass` 能发现它:
```python
def register():
from unilabos.resources.my_project.decks import MyStation_Deck
```
---
## 第六步:验证
```bash
# 1. 资源可导入
python -c "from unilabos.resources.my_project.bottles import My_Reagent_Bottle; print(My_Reagent_Bottle('test'))"
# 2. Deck 可创建
python -c "
from unilabos.resources.my_project.decks import MyStation_Deck
d = MyStation_Deck('test', setup=True)
print(d.children)
"
# 3. 启动测试
unilab -g <graph>.json --complete_registry
```
---
## 工作流清单
```
资源接入进度:
- [ ] 1. 确定资源类型Bottle / Carrier / WareHouse / Deck
- [ ] 2. 创建资源定义(工厂函数/类)
- [ ] 3. 创建注册表 YAML (unilabos/registry/resources/<project>/<type>.yaml)
- [ ] 4. 在图文件中引用(如需要)
- [ ] 5. 注册 PLR 扩展Deck 类需要)
- [ ] 6. 验证
```
---
## 高级模式
实现复杂资源系统时,详见 [reference.md](reference.md):类继承体系完整图、序列化/反序列化流程、Bioyond 物料双向同步、非瓶类资源ElectrodeSheet / Magazine、仓库工厂 layout 模式。
---
## 现有资源参考
| 项目 | Bottles | Carriers | WareHouses | Decks |
|------|---------|----------|------------|-------|
| bioyond | `bioyond/bottles.py` | `bioyond/bottle_carriers.py` | `bioyond/warehouses.py`, `YB_warehouses.py` | `bioyond/decks.py` |
| battery | — | `battery/bottle_carriers.py` | — | — |
| 通用 | — | — | `warehouse.py` | — |
### 关键路径
| 内容 | 路径 |
|------|------|
| Bottle/Carrier 基类 | `unilabos/resources/itemized_carrier.py` |
| WareHouse 基类 + 工厂 | `unilabos/resources/warehouse.py` |
| PLR 注册 | `unilabos/resources/plr_additional_res_reg.py` |
| 资源注册表 | `unilabos/registry/resources/` |
| 图文件加载 | `unilabos/resources/graphio.py` |
| 资源跟踪器 | `unilabos/resources/resource_tracker.py` |

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

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@@ -1,500 +0,0 @@
---
name: add-workstation
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.
---
# Uni-Lab-OS 工作站接入指南
工作站workstation是组合多个子设备的大型设备拥有独立的物料管理系统PLR Deck和工作流引擎。本指南覆盖从需求分析到验证的全流程。
> **前置知识**:工作站接入基于 `docs/ai_guides/add_device.md` 的通用设备接入框架,但有显著差异。阅读本指南前无需先读通用指南。
## 第一步:确定工作站类型
向用户确认以下信息:
**Q1: 工作站的业务场景?**
| 类型 | 基类 | 适用场景 | 示例 |
|------|------|----------|------|
| **Protocol 工作站** | `ProtocolNode` | 标准化学操作协议(过滤、转移、加热等) | FilterProtocolStation |
| **外部系统工作站** | `WorkstationBase` | 与外部 LIMS/MES 系统对接,有专属 API | BioyondStation |
| **硬件控制工作站** | `WorkstationBase` | 直接控制 PLC/硬件,无外部系统 | CoinCellAssembly |
**Q2: 工作站英文名称?**(如 `my_reaction_station`
**Q3: 与外部系统的交互方式?**
| 方式 | 适用场景 | 需要的配置 |
|------|----------|-----------|
| 无外部系统 | Protocol 工作站、纯硬件控制 | 无 |
| HTTP API | LIMS/MES 系统(如 Bioyond | `api_host`, `api_key` |
| Modbus TCP | PLC 控制 | `address`, `port` |
| OPC UA | 工业设备 | `url` |
**Q4: 子设备组成?**
- 列出所有子设备(如反应器、泵、阀、传感器等)
- 哪些是已有设备类型?哪些需要新增?
- 子设备之间的硬件代理关系(如泵通过串口设备通信)
**Q5: 物料管理需求?**
- 是否需要 Deck物料面板
- 物料类型plate、tip_rack、bottle 等)
- 是否需要与外部物料系统同步?
---
## 第二步:理解工作站架构
工作站与普通设备的核心差异:
| 维度 | 普通设备 | 工作站 |
|------|---------|--------|
| 基类 | 无(纯 Python 类) | `WorkstationBase``ProtocolNode` |
| ROS 节点 | `BaseROS2DeviceNode` | `ROS2WorkstationNode` |
| 状态管理 | `self.data` 字典 | 通常不用 `self.data`,用 `@property` 直接访问 |
| 子设备 | 无 | `children` 列表,通过 `self._children` 访问 |
| 物料 | 无 | `self.deck`PLR Deck |
| 图文件角色 | `parent: null``parent: "<station>"` | `parent: null`,含 `children``deck` |
### 继承体系
`WorkstationBase` (ABC) → `ProtocolNode` (通用协议) / `BioyondWorkstation` (→ ReactionStation, DispensingStation) / `CoinCellAssemblyWorkstation` (硬件控制)
### ROS 层
`ROS2WorkstationNode` 额外负责:初始化 children 子设备节点、为子设备创建 ActionClient、配置硬件代理、为 protocol_type 创建协议 ActionServer。
---
## 第三步:创建驱动文件
文件路径:`unilabos/devices/workstation/<station_name>/<station_name>.py`
### 模板 A基于外部系统的工作站
适用于与 LIMS/MES 等外部系统对接的场景。
```python
import logging
from typing import Dict, Any, Optional, List
from pylabrobot.resources import Deck
from unilabos.devices.workstation.workstation_base import WorkstationBase
try:
from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
except ImportError:
ROS2WorkstationNode = None
class MyWorkstation(WorkstationBase):
"""工作站描述"""
_ros_node: "ROS2WorkstationNode"
def __init__(
self,
config: dict = None,
deck: Optional[Deck] = None,
protocol_type: list = None,
**kwargs,
):
super().__init__(deck=deck, **kwargs)
self.config = config or {}
self.logger = logging.getLogger(f"MyWorkstation")
# 外部系统连接配置
self.api_host = self.config.get("api_host", "")
self.api_key = self.config.get("api_key", "")
# 工作站业务状态(不同于 self.data 模式)
self._status = "Idle"
def post_init(self, ros_node: "ROS2WorkstationNode") -> None:
super().post_init(ros_node)
# 在这里启动后台服务、连接监控等
# ============ 子设备访问 ============
def _get_child_device(self, device_id: str):
"""通过 ID 获取子设备节点"""
return self._children.get(device_id)
# ============ 动作方法 ============
async def scheduler_start(self, **kwargs) -> Dict[str, Any]:
"""启动调度器"""
return {"success": True}
async def create_order(self, json_str: str, **kwargs) -> Dict[str, Any]:
"""创建工单"""
return {"success": True}
# ============ 属性 ============
@property
def workflow_sequence(self) -> str:
return "[]"
@property
def material_info(self) -> str:
return "{}"
```
### 模板 B基于硬件控制的工作站
适用于直接与 PLC/硬件通信的场景。
```python
import logging
from typing import Dict, Any, Optional
from pylabrobot.resources import Deck
from unilabos.devices.workstation.workstation_base import WorkstationBase
try:
from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
except ImportError:
ROS2WorkstationNode = None
class MyHardwareWorkstation(WorkstationBase):
"""硬件控制工作站"""
_ros_node: "ROS2WorkstationNode"
def __init__(
self,
config: dict = None,
deck: Optional[Deck] = None,
address: str = "192.168.1.100",
port: str = "502",
debug_mode: bool = False,
*args,
**kwargs,
):
super().__init__(deck=deck, *args, **kwargs)
self.config = config or {}
self.address = address
self.port = int(port)
self.debug_mode = debug_mode
self.logger = logging.getLogger("MyHardwareWorkstation")
# 初始化通信客户端
if not debug_mode:
from unilabos.device_comms.modbus_plc.client import ModbusTcpClient
self.client = ModbusTcpClient(host=self.address, port=self.port)
else:
self.client = None
def post_init(self, ros_node: "ROS2WorkstationNode") -> None:
super().post_init(ros_node)
# ============ 硬件读写 ============
def _read_register(self, name: str):
"""读取 Modbus 寄存器"""
if self.debug_mode:
return 0
# 实际读取逻辑
pass
# ============ 动作方法 ============
async def start_process(self, **kwargs) -> Dict[str, Any]:
"""启动加工流程"""
return {"success": True}
async def stop_process(self, **kwargs) -> Dict[str, Any]:
"""停止加工流程"""
return {"success": True}
# ============ 属性(从硬件实时读取)============
@property
def sys_status(self) -> str:
return str(self._read_register("SYS_STATUS"))
```
### 模板 CProtocol 工作站
适用于标准化学操作协议的场景,直接使用 `ProtocolNode`
```python
from typing import List, Optional
from pylabrobot.resources import Resource as PLRResource
from unilabos.devices.workstation.workstation_base import ProtocolNode
class MyProtocolStation(ProtocolNode):
"""Protocol 工作站 — 使用标准化学操作协议"""
def __init__(
self,
protocol_type: List[str],
deck: Optional[PLRResource] = None,
*args,
**kwargs,
):
super().__init__(protocol_type=protocol_type, deck=deck, *args, **kwargs)
```
> Protocol 工作站通常不需要自定义驱动类,直接使用 `ProtocolNode` 并在注册表和图文件中配置 `protocol_type` 即可。
---
## 第四步:创建子设备驱动(如需要)
工作站的子设备本身是独立设备。按 `docs/ai_guides/add_device.md` 的标准流程创建。
子设备的关键约束:
- 在图文件中 `parent` 指向工作站 ID
- 图文件中在工作站的 `children` 数组里列出
- 如需硬件代理,在子设备的 `config.hardware_interface.name` 指向通信设备 ID
---
## 第五步:创建注册表 YAML
路径:`unilabos/registry/devices/<station_name>.yaml`
### 最小配置
```yaml
my_workstation:
category:
- workstation
class:
module: unilabos.devices.workstation.my_station.my_station:MyWorkstation
type: python
```
启动时 `--complete_registry` 自动补全 `status_types``action_value_mappings`
### 完整配置参考
```yaml
my_workstation:
description: "我的工作站"
version: "1.0.0"
category:
- workstation
- my_category
class:
module: unilabos.devices.workstation.my_station.my_station:MyWorkstation
type: python
status_types:
workflow_sequence: String
material_info: String
action_value_mappings:
scheduler_start:
type: UniLabJsonCommandAsync
goal: {}
result:
success: success
create_order:
type: UniLabJsonCommandAsync
goal:
json_str: json_str
result:
success: success
init_param_schema:
config:
type: object
deck:
type: object
protocol_type:
type: array
```
### 子设备注册表
子设备有独立的注册表文件,需要在 `category` 中包含工作站标识:
```yaml
my_reactor:
category:
- reactor
- my_workstation
class:
module: unilabos.devices.workstation.my_station.my_reactor:MyReactor
type: python
```
---
## 第六步:配置 Deck 资源(如需要)
如果工作站有物料管理需求,需要定义 Deck 类。
### 使用已有 Deck 类
查看 `unilabos/resources/` 目录下是否有适用的 Deck 类。
### 创建自定义 Deck
`unilabos/resources/<category>/decks.py` 中定义:
```python
from pylabrobot.resources import Deck
from pylabrobot.resources.coordinate import Coordinate
def MyStation_Deck(name: str = "MyStation_Deck") -> Deck:
deck = Deck(name=name, size_x=2700.0, size_y=1080.0, size_z=1500.0)
# 在 deck 上定义子资源位置carrier、plate 等)
return deck
```
`unilabos/resources/<category>/` 下注册或通过注册表引用。
---
## 第七步:配置图文件
图文件路径:`unilabos/test/experiments/<station_name>.json`
### 完整结构
```json
{
"nodes": [
{
"id": "my_station",
"name": "my_station",
"children": ["my_deck", "sub_device_1", "sub_device_2"],
"parent": null,
"type": "device",
"class": "my_workstation",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"api_host": "http://192.168.1.100:8080",
"api_key": "YOUR_KEY"
},
"deck": {
"data": {
"_resource_child_name": "my_deck",
"_resource_type": "unilabos.resources.my_module.decks:MyStation_Deck"
}
},
"size_x": 2700.0,
"size_y": 1080.0,
"size_z": 1500.0,
"protocol_type": [],
"data": {}
},
{
"id": "my_deck",
"name": "my_deck",
"children": [],
"parent": "my_station",
"type": "deck",
"class": "MyStation_Deck",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"type": "MyStation_Deck",
"setup": true,
"rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"}
},
"data": {}
},
{
"id": "sub_device_1",
"name": "sub_device_1",
"children": [],
"parent": "my_station",
"type": "device",
"class": "sub_device_registry_name",
"position": {"x": 100, "y": 0, "z": 0},
"config": {},
"data": {}
}
]
}
```
### 图文件规则
| 字段 | 说明 |
|------|------|
| `id` | 节点唯一标识,与 `children` 数组中的引用一致 |
| `children` | 包含 deck ID 和所有子设备 ID |
| `parent` | 工作站节点为 `null`;子设备/deck 指向工作站 ID |
| `type` | 工作站和子设备为 `"device"`deck 为 `"deck"` |
| `class` | 对应注册表中的设备名 |
| `deck.data._resource_child_name` | 必须与 deck 节点的 `id` 一致 |
| `deck.data._resource_type` | Deck 工厂函数的完整 Python 路径 |
| `protocol_type` | Protocol 工作站填入协议名列表;否则为 `[]` |
| `config` | 传入驱动 `__init__``config` 参数 |
---
## 第八步:验证
```bash
# 1. 模块可导入
python -c "from unilabos.devices.workstation.<name>.<name> import <ClassName>"
# 2. 注册表补全
unilab -g <graph>.json --complete_registry
# 3. 启动测试
unilab -g <graph>.json
```
---
## 高级模式
实现外部系统对接型工作站时,详见 [reference.md](reference.md)RPC 客户端、HTTP 回调服务、连接监控、Config 结构模式material_type_mappings / warehouse_mapping / workflow_mappings、ResourceSynchronizer、update_resource、工作流序列、站间物料转移、post_init 完整模式。
---
## 关键规则
1. **`__init__` 必须接受 `deck``**kwargs`** — `WorkstationBase.__init__` 需要 `deck` 参数
2. **通过 `self._children` 访问子设备** — 不要自行维护子设备引用
3. **`post_init` 中启动后台服务** — 不要在 `__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子设备实例
6. **`deck` 配置中的 `_resource_child_name` 必须与 deck 节点 ID 一致**
7. **Protocol 工作站优先使用 `ProtocolNode`** — 不需要自定义类
---
## 工作流清单
```
工作站接入进度:
- [ ] 1. 确定工作站类型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 unilabos/devices/workstation/<name>/<name>.py
- [ ] 4. 创建子设备驱动(如需要,按 add_device.md 流程)
- [ ] 5. 创建注册表 unilabos/registry/devices/<name>.yaml
- [ ] 6. 创建/选择 Deck 资源类(如需要)
- [ ] 7. 配置图文件 unilabos/test/experiments/<name>.json
- [ ] 8. 验证:可导入 + 注册表补全 + 启动测试
```
---
## 现有工作站参考
| 工作站 | 注册表名 | 驱动类 | 类型 |
|--------|----------|--------|------|
| Protocol 通用 | `workstation` | `ProtocolNode` | Protocol |
| Bioyond 反应站 | `reaction_station.bioyond` | `BioyondReactionStation` | 外部系统 |
| Bioyond 配液站 | `bioyond_dispensing_station` | `BioyondDispensingStation` | 外部系统 |
| 纽扣电池组装 | `coincellassemblyworkstation_device` | `CoinCellAssemblyWorkstation` | 硬件控制 |
### 参考文件路径
- 基类: `unilabos/devices/workstation/workstation_base.py`
- Bioyond 基类: `unilabos/devices/workstation/bioyond_studio/station.py`
- 反应站: `unilabos/devices/workstation/bioyond_studio/reaction_station/reaction_station.py`
- 配液站: `unilabos/devices/workstation/bioyond_studio/dispensing_station/dispensing_station.py`
- 纽扣电池: `unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`
- ROS 节点: `unilabos/ros/nodes/presets/workstation.py`
- 图文件: `unilabos/test/experiments/reaction_station_bioyond.json`, `dispensing_station_bioyond.json`

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

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@@ -1,381 +0,0 @@
---
name: edit-experiment-graph
description: Guide for creating and editing experiment graph files in Uni-Lab-OS (创建/编辑实验组态图). Covers node types, link types, parent-child relationships, deck configuration, and common graph patterns. Use when the user wants to create a graph file, edit an experiment configuration, set up device topology, or mentions 图文件/graph/组态/拓扑/实验图/experiment JSON.
---
# 创建/编辑实验组态图
实验图Graph File定义设备拓扑、物理连接和物料配置。系统启动时加载图文件初始化所有设备和连接关系。
路径:`unilabos/test/experiments/<name>.json`
---
## 第一步:确认需求
向用户确认:
| 信息 | 说明 |
|------|------|
| 场景类型 | 单设备调试 / 多设备联调 / 工作站完整图 |
| 包含的设备 | 设备 ID、注册表 class 名、配置参数 |
| 连接关系 | 物理连接(管道)/ 通信连接(串口)/ 无连接 |
| 父子关系 | 是否有工作站包含子设备 |
| 物料需求 | 是否需要 Deck、容器、试剂瓶 |
---
## 第二步JSON 顶层结构
```json
{
"nodes": [],
"links": []
}
```
> `links` 也可写作 `edges`,加载时两者等效。
---
## 第三步:定义 Nodes
### 节点字段
| 字段 | 类型 | 必需 | 默认值 | 说明 |
|------|------|------|--------|------|
| `id` | string | **是** | — | 节点唯一标识links 和 children 中引用此值 |
| `class` | string | **是** | — | 对应注册表名(设备/资源 YAML 的 key容器可为 `null` |
| `name` | string | 否 | 同 `id` | 显示名称,缺省时自动用 `id` |
| `type` | string | 否 | `"device"` | 节点类型(见下表),缺省时自动设为 `"device"` |
| `children` | string[] | 否 | `[]` | 子节点 ID 列表 |
| `parent` | string\|null | 否 | `null` | 父节点 ID顶层设备为 `null` |
| `position` | object | 否 | `{x:0,y:0,z:0}` | 空间坐标 |
| `config` | object | 否 | `{}` | 传给驱动 `__init__` 的参数 |
| `data` | object | 否 | `{}` | 初始运行状态 |
| `size_x/y/z` | float | 否 | — | 节点物理尺寸(工作站节点常用) |
> 非标准字段(如 `api_host`)会自动移入 `config`。
### 节点类型
| `type` | 用途 | `class` 要求 |
|--------|------|-------------|
| `device` | 设备(默认) | 注册表中的设备名 |
| `deck` | 工作台面 | Deck 工厂函数/类名 |
| `container` | 容器(烧瓶、反应釜) | `null` 或具体容器类名 |
### 设备节点模板
```json
{
"id": "my_device",
"name": "我的设备",
"children": [],
"parent": null,
"type": "device",
"class": "registry_device_name",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"port": "/dev/ttyUSB0",
"baudrate": 115200
},
"data": {
"status": "Idle"
}
}
```
### 容器节点模板
容器用于协议系统中表示试剂瓶、反应釜等,`class` 通常为 `null`
```json
{
"id": "flask_DMF",
"name": "DMF试剂瓶",
"children": [],
"parent": "my_station",
"type": "container",
"class": null,
"position": {"x": 200, "y": 500, "z": 0},
"config": {"max_volume": 1000.0},
"data": {
"liquid": [{"liquid_type": "DMF", "liquid_volume": 800.0}]
}
}
```
### Deck 节点模板
```json
{
"id": "my_deck",
"name": "my_deck",
"children": [],
"parent": "my_station",
"type": "deck",
"class": "MyStation_Deck",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"type": "MyStation_Deck",
"setup": true,
"rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"}
},
"data": {}
}
```
---
## 第四步:定义 Links
### Link 字段
| 字段 | 类型 | 说明 |
|------|------|------|
| `source` | string | 源节点 ID |
| `target` | string | 目标节点 ID |
| `type` | string | `"physical"` / `"fluid"` / `"communication"` |
| `port` | object | 端口映射 `{source_id: "port_name", target_id: "port_name"}` |
### 物理/流体连接
设备间的管道连接,协议系统用此查找路径:
```json
{
"source": "multiway_valve_1",
"target": "flask_DMF",
"type": "fluid",
"port": {
"multiway_valve_1": "2",
"flask_DMF": "outlet"
}
}
```
### 通信连接
设备间的串口/IO 通信代理,加载时自动将端口信息写入目标设备 config
```json
{
"source": "pump_1",
"target": "serial_device",
"type": "communication",
"port": {
"pump_1": "port",
"serial_device": "port"
}
}
```
---
## 第五步:父子关系与工作站配置
### 工作站 + 子设备
工作站节点的 `children` 列出所有子节点 ID子节点的 `parent` 指向工作站:
```json
{
"id": "my_station",
"children": ["my_deck", "pump_1", "valve_1", "reactor_1"],
"parent": null,
"type": "device",
"class": "workstation",
"config": {
"protocol_type": ["PumpTransferProtocol", "CleanProtocol"]
}
}
```
### 工作站 + Deck 引用
工作站节点中通过 `deck` 字段引用 Deck
```json
{
"id": "my_station",
"children": ["my_deck", "sub_device_1"],
"deck": {
"data": {
"_resource_child_name": "my_deck",
"_resource_type": "unilabos.resources.my_module.decks:MyDeck"
}
}
}
```
**关键约束:**
- `_resource_child_name` 必须与 Deck 节点的 `id` 一致
- `_resource_type` 为 Deck 类/工厂函数的完整 Python 路径
---
## 常见图模式
### 模式 A单设备调试
最简形式,一个设备节点,无连接:
```json
{
"nodes": [
{
"id": "my_device",
"name": "my_device",
"children": [],
"parent": null,
"type": "device",
"class": "motor.zdt_x42",
"position": {"x": 0, "y": 0, "z": 0},
"config": {"port": "/dev/ttyUSB0", "baudrate": 115200},
"data": {"status": "idle"}
}
],
"links": []
}
```
### 模式 BProtocol 工作站(泵+阀+容器)
工作站配合泵、阀、容器和物理连接,用于协议编译:
```json
{
"nodes": [
{
"id": "station", "name": "协议工作站",
"class": "workstation", "type": "device", "parent": null,
"children": ["pump", "valve", "flask_solvent", "reactor", "waste"],
"config": {"protocol_type": ["PumpTransferProtocol"]}
},
{"id": "pump", "name": "转移泵", "class": "virtual_transfer_pump",
"type": "device", "parent": "station",
"config": {"port": "VIRTUAL", "max_volume": 25.0},
"data": {"status": "Idle", "position": 0.0, "valve_position": "0"}},
{"id": "valve", "name": "多通阀", "class": "virtual_multiway_valve",
"type": "device", "parent": "station",
"config": {"port": "VIRTUAL", "positions": 8}},
{"id": "flask_solvent", "name": "溶剂瓶", "type": "container",
"class": null, "parent": "station",
"config": {"max_volume": 1000.0},
"data": {"liquid": [{"liquid_type": "DMF", "liquid_volume": 500}]}},
{"id": "reactor", "name": "反应器", "type": "container",
"class": null, "parent": "station"},
{"id": "waste", "name": "废液瓶", "type": "container",
"class": null, "parent": "station"}
],
"links": [
{"source": "pump", "target": "valve", "type": "fluid",
"port": {"pump": "transferpump", "valve": "transferpump"}},
{"source": "valve", "target": "flask_solvent", "type": "fluid",
"port": {"valve": "1", "flask_solvent": "outlet"}},
{"source": "valve", "target": "reactor", "type": "fluid",
"port": {"valve": "2", "reactor": "inlet"}},
{"source": "valve", "target": "waste", "type": "fluid",
"port": {"valve": "3", "waste": "inlet"}}
]
}
```
### 模式 C外部系统工作站 + Deck
```json
{
"nodes": [
{
"id": "bioyond_station", "class": "reaction_station.bioyond",
"parent": null, "children": ["bioyond_deck"],
"config": {
"api_host": "http://192.168.1.100:8080",
"api_key": "YOUR_KEY",
"material_type_mappings": {},
"warehouse_mapping": {}
},
"deck": {
"data": {
"_resource_child_name": "bioyond_deck",
"_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_PolymerReactionStation_Deck"
}
}
},
{
"id": "bioyond_deck", "class": "BIOYOND_PolymerReactionStation_Deck",
"parent": "bioyond_station", "type": "deck",
"config": {"type": "BIOYOND_PolymerReactionStation_Deck", "setup": true}
}
],
"links": []
}
```
### 模式 D通信代理串口设备
泵通过串口设备通信,使用 `communication` 类型的 link。加载时系统会自动将串口端口信息写入泵的 `config`
```json
{
"nodes": [
{"id": "station", "name": "工作站", "type": "device",
"class": "workstation", "parent": null,
"children": ["serial_1", "pump_1"]},
{"id": "serial_1", "name": "串口", "type": "device",
"class": "serial", "parent": "station",
"config": {"port": "COM7", "baudrate": 9600}},
{"id": "pump_1", "name": "注射泵", "type": "device",
"class": "syringe_pump_with_valve.runze.SY03B-T08", "parent": "station"}
],
"links": [
{"source": "pump_1", "target": "serial_1", "type": "communication",
"port": {"pump_1": "port", "serial_1": "port"}}
]
}
```
---
## 验证
```bash
# 启动测试
unilab -g unilabos/test/experiments/<name>.json --complete_registry
# 仅检查注册表
python -m unilabos --check_mode --skip_env_check
```
---
## 高级模式
处理复杂图文件时,详见 [reference.md](reference.md)ResourceDict 完整字段 schema、Pose 标准化规则、Handle 验证机制、GraphML 格式支持、外部系统工作站完整 config 结构。
---
## 常见错误
| 错误 | 原因 | 修复 |
|------|------|------|
| `class` 找不到 | 注册表中无此设备名 | 在 `unilabos/registry/devices/``resources/` 中搜索正确名称 |
| children/parent 不一致 | 子节点 `parent` 与父节点 `children` 不匹配 | 确保双向一致 |
| `_resource_child_name` 不匹配 | Deck 引用名与 Deck 节点 `id` 不同 | 保持一致 |
| Link 端口错误 | `port` 中的 key 不是 source/target 的 `id` | key 必须是对应节点的 `id` |
| 重复 UUID | 多个节点有相同 `uuid` | 删除或修改 UUID |
---
## 参考路径
| 内容 | 路径 |
|------|------|
| 图文件目录 | `unilabos/test/experiments/` |
| 协议测试站 | `unilabos/test/experiments/Protocol_Test_Station/` |
| 图加载代码 | `unilabos/resources/graphio.py` |
| 节点模型 | `unilabos/resources/resource_tracker.py` |
| 设备注册表 | `unilabos/registry/devices/` |
| 资源注册表 | `unilabos/registry/resources/` |
| 用户文档 | `docs/user_guide/graph_files.md` |

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@@ -1,255 +0,0 @@
# 实验图高级参考
本文件是 SKILL.md 的补充,包含 ResourceDict 完整 schema、Handle 验证、GraphML 格式、Pose 标准化规则和复杂图文件结构。Agent 在需要处理这些场景时按需阅读。
---
## 1. ResourceDict 完整字段
`unilabos/resources/resource_tracker.py` 中定义的节点数据模型:
| 字段 | 类型 | 别名 | 说明 |
|------|------|------|------|
| `id` | `str` | — | 节点唯一标识 |
| `uuid` | `str` | — | 全局唯一标识 |
| `name` | `str` | — | 显示名称 |
| `description` | `str` | — | 描述(默认 `""` |
| `resource_schema` | `Dict[str, Any]` | `schema` | 资源 schema |
| `model` | `Dict[str, Any]` | — | 3D 模型信息 |
| `icon` | `str` | — | 图标(默认 `""` |
| `parent_uuid` | `Optional[str]` | — | 父节点 UUID |
| `parent` | `Optional[ResourceDict]` | — | 父节点引用(序列化时 exclude |
| `type` | `Union[Literal["device"], str]` | — | 节点类型 |
| `klass` | `str` | `class` | 注册表类名 |
| `pose` | `ResourceDictPosition` | — | 位姿信息 |
| `config` | `Dict[str, Any]` | — | 配置参数 |
| `data` | `Dict[str, Any]` | — | 运行时数据 |
| `extra` | `Dict[str, Any]` | — | 扩展数据 |
### Pose 完整结构ResourceDictPosition
| 字段 | 类型 | 默认值 | 说明 |
|------|------|--------|------|
| `size` | `{width, height, depth}` | `{0,0,0}` | 节点尺寸 |
| `scale` | `{x, y, z}` | `{1,1,1}` | 缩放比例 |
| `layout` | `"2d"/"x-y"/"z-y"/"x-z"` | `"x-y"` | 布局方向 |
| `position` | `{x, y, z}` | `{0,0,0}` | 2D 位置 |
| `position3d` | `{x, y, z}` | `{0,0,0}` | 3D 位置 |
| `rotation` | `{x, y, z}` | `{0,0,0}` | 旋转角度 |
| `cross_section_type` | `"rectangle"/"circle"/"rounded_rectangle"` | `"rectangle"` | 横截面形状 |
---
## 2. Position / Pose 标准化规则
图文件中的 `position` 有多种写法,加载时自动标准化。
### 输入格式兼容
```json
// 格式 A: 直接 {x, y, z}(最常用)
"position": {"x": 100, "y": 200, "z": 0}
// 格式 B: 嵌套 position
"position": {"position": {"x": 100, "y": 200, "z": 0}}
// 格式 C: 使用 pose 字段
"pose": {"position": {"x": 100, "y": 200, "z": 0}}
// 格式 D: 顶层 x, y, z无 position 字段)
"x": 100, "y": 200, "z": 0
```
### 标准化流程
1. **graphio.py `canonicalize_nodes_data`**:若 `position` 不是 dict从节点顶层提取 `x/y/z` 填入 `pose.position`
2. **resource_tracker.py `get_resource_instance_from_dict`**:若 `position.x` 存在(旧格式),转为 `{"position": {"x":..., "y":..., "z":...}}`
3. `pose.size``config.size_x/size_y/size_z` 自动填充
---
## 3. Handle 验证
启动时系统验证 link 中的 `sourceHandle` / `targetHandle` 是否在注册表的 `handles` 中定义。
```python
# unilabos/app/main.py (约 449-481 行)
source_handler_keys = [
h["handler_key"] for h in materials[source_node.klass]["handles"]
if h["io_type"] == "source"
]
target_handler_keys = [
h["handler_key"] for h in materials[target_node.klass]["handles"]
if h["io_type"] == "target"
]
if source_handle not in source_handler_keys:
print_status(f"节点 {source_node.id} 的source端点 {source_handle} 不存在", "error")
resource_edge_info.pop(...) # 移除非法 link
```
**Handle 定义在注册表 YAML 中:**
```yaml
my_device:
handles:
- handler_key: access
io_type: target
data_type: fluid
side: NORTH
label: access
```
> 大多数简单设备不定义 handles此验证仅对有 `sourceHandle`/`targetHandle` 的 link 生效。
---
## 4. GraphML 格式支持
除 JSON 外,系统也支持 GraphML 格式(`unilabos/resources/graphio.py::read_graphml`)。
### 与 JSON 的关键差异
| 特性 | JSON | GraphML |
|------|------|---------|
| 父子关系 | `parent`/`children` 字段 | `::` 分隔的节点 ID`station::pump_1` |
| 加载后 | 直接解析 | 先 `nx.read_graphml` 再转 JSON 格式 |
| 输出 | 不生成副本 | 自动生成等价的 `.json` 文件 |
### GraphML 转换流程
```
nx.read_graphml(file)
↓ 用 label 重映射节点名
↓ 从 "::" 推断 parent_relation
nx.relabel_nodes + nx.node_link_data
↓ canonicalize_nodes_data + canonicalize_links_ports
↓ 写出等价 JSON 文件
physical_setup_graph + handle_communications
```
---
## 5. 复杂图文件结构示例
### 外部系统工作站完整 config
`reaction_station_bioyond.json` 为例,工作站 `config` 中的关键字段:
```json
{
"config": {
"api_key": "DE9BDDA0",
"api_host": "http://172.21.103.36:45388",
"workflow_mappings": {
"scheduler_start": {"workflow": "start", "params": {}},
"create_order": {"workflow": "create_order", "params": {}}
},
"material_type_mappings": {
"BIOYOND_PolymerStation_Reactor": ["反应器", "type-uuid-here"],
"BIOYOND_PolymerStation_1BottleCarrier": ["试剂瓶", "type-uuid-here"]
},
"warehouse_mapping": {
"堆栈1左": {
"uuid": "warehouse-uuid-here",
"site_uuids": {
"A01": "site-uuid-1",
"A02": "site-uuid-2"
}
}
},
"http_service_config": {
"enabled": true,
"host": "0.0.0.0",
"port": 45399,
"routes": ["/callback/workflow", "/callback/material"]
},
"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": {}
}
}
```
### 子设备 Reactor 节点
```json
{
"id": "reactor_1",
"name": "reactor_1",
"parent": "reaction_station_bioyond",
"type": "device",
"class": "bioyond_reactor",
"position": {"x": 1150, "y": 300, "z": 0},
"config": {
"reactor_index": 0,
"bioyond_workflow_key": "reactor_1"
},
"data": {}
}
```
### Deck 节点
```json
{
"id": "Bioyond_Deck",
"name": "Bioyond_Deck",
"parent": "reaction_station_bioyond",
"type": "deck",
"class": "BIOYOND_PolymerReactionStation_Deck",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"type": "BIOYOND_PolymerReactionStation_Deck",
"setup": true,
"rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"}
},
"data": {}
}
```
---
## 6. Link 端口标准化
`graphio.py::canonicalize_links_ports` 处理 `port` 字段的多种格式:
```python
# 输入: 字符串格式 "(A,B)"
"port": "(pump_1, valve_1)"
# 输出: 字典格式
"port": {"source_id": "pump_1", "target_id": "valve_1"}
# 输入: 已是字典
"port": {"pump_1": "port", "serial_1": "port"}
# 保持不变
# 输入: 无 port 字段
# 自动补充空 port
```
---
## 7. 关键路径
| 内容 | 路径 |
|------|------|
| ResourceDict 模型 | `unilabos/resources/resource_tracker.py` |
| 图加载 + 标准化 | `unilabos/resources/graphio.py` |
| Handle 验证 | `unilabos/app/main.py` (449-481 行) |
| 反应站图文件 | `unilabos/test/experiments/reaction_station_bioyond.json` |
| 配液站图文件 | `unilabos/test/experiments/dispensing_station_bioyond.json` |
| 用户文档 | `docs/user_guide/graph_files.md` |

View File

@@ -1,188 +0,0 @@
# ============================================================
# Uni-Lab-OS Cursor Ignore 配置,控制 Cursor AI 的文件索引范围
# ============================================================
# ==================== 敏感配置文件 ====================
# 本地配置(可能包含密钥)
**/local_config.py
test_config.py
local_test*.py
# 环境变量和密钥
.env
.env.*
**/.certs/
*.pem
*.key
credentials.json
secrets.yaml
# ==================== 二进制和 3D 模型文件 ====================
# 3D 模型文件(无需索引)
*.stl
*.dae
*.glb
*.gltf
*.obj
*.fbx
*.blend
# URDF/Xacro 机器人描述文件大型XML
*.xacro
# 图片文件
*.png
*.jpg
*.jpeg
*.gif
*.webp
*.ico
*.svg
*.bmp
# 压缩包
*.zip
*.tar
*.tar.gz
*.tgz
*.bz2
*.rar
*.7z
# ==================== Python 生成文件 ====================
__pycache__/
*.py[cod]
*$py.class
*.so
*.pyd
*.egg
*.egg-info/
.eggs/
dist/
build/
*.manifest
*.spec
# ==================== IDE 和编辑器 ====================
.idea/
.vscode/
*.swp
*.swo
*~
.#*
# ==================== 测试和覆盖率 ====================
.pytest_cache/
.coverage
.coverage.*
htmlcov/
.tox/
.nox/
coverage.xml
*.cover
# ==================== 虚拟环境 ====================
.venv/
venv/
env/
ENV/
# ==================== ROS 2 生成文件 ====================
# ROS 构建目录
build/
install/
log/
logs/
devel/
# ROS 消息生成
msg_gen/
srv_gen/
msg/*Action.msg
msg/*ActionFeedback.msg
msg/*ActionGoal.msg
msg/*ActionResult.msg
msg/*Feedback.msg
msg/*Goal.msg
msg/*Result.msg
msg/_*.py
srv/_*.py
build_isolated/
devel_isolated/
# ROS 动态配置
*.cfgc
/cfg/cpp/
/cfg/*.py
# ==================== 项目特定目录 ====================
# 工作数据目录
unilabos_data/
# 临时和输出目录
temp/
output/
cursor_docs/
configs/
# 文档构建
docs/_build/
/site
# ==================== 大型数据文件 ====================
# 点云数据
*.pcd
# GraphML 图形文件
*.graphml
# 日志文件
*.log
# 数据库
*.sqlite3
*.db
# Jupyter 检查点
.ipynb_checkpoints/
# ==================== 设备网格资源 ====================
# 3D 网格文件目录(包含大量 STL/DAE 文件)
unilabos/device_mesh/devices/**/*.stl
unilabos/device_mesh/devices/**/*.dae
unilabos/device_mesh/resources/**/*.stl
unilabos/device_mesh/resources/**/*.glb
unilabos/device_mesh/resources/**/*.xacro
# RViz 配置
*.rviz
# ==================== 系统文件 ====================
.DS_Store
Thumbs.db
desktop.ini
# ==================== 锁文件 ====================
poetry.lock
Pipfile.lock
pdm.lock
package-lock.json
yarn.lock
# ==================== 类型检查缓存 ====================
.mypy_cache/
.dmypy.json
.pytype/
.pyre/
pyrightconfig.json
# ==================== 其他 ====================
# Catkin
CATKIN_IGNORE
# Eclipse/Qt
.project
.cproject
CMakeLists.txt.user
*.user
qtcreator-*

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@@ -1,11 +0,0 @@
## 设备接入
当被要求添加设备驱动时,参考 `docs/ai_guides/add_device.md`
该指南包含完整的模板和已有设备接口参考。
## 关键规则
- 动作方法的参数名是接口契约,不可重命名
- `status` 字符串必须与同类已有设备一致
- `self.data` 必须在 `__init__` 中预填充所有属性字段
- 异步方法中使用 `await self._ros_node.sleep()`,禁止 `time.sleep()`

View File

@@ -49,7 +49,7 @@ jobs:
uv pip uninstall enum34 || echo enum34 not installed, skipping
uv pip install .
- name: Run check mode (complete_registry)
- name: Run check mode (AST registry validation)
run: |
call conda activate check-env
echo Running check mode...

1
.gitignore vendored
View File

@@ -5,6 +5,7 @@ output/
unilabos_data/
pyrightconfig.json
.cursorignore
device_package*/
## Python
# Byte-compiled / optimized / DLL files

View File

@@ -1,21 +1,87 @@
# Uni-Lab-OS AI Agent 指南
# AGENTS.md
## 设备接入
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
当用户要求添加/接入新设备时,读取 `docs/ai_guides/add_device.md` 并按其流程执行。
该指南完全自包含,包含物模型模板、现有设备接口快照、常见错误和验证清单。
Also follow the monorepo-level rules in `../AGENTS.md`.
## 关键规则
## Build & Development
- 动作方法的参数名是接口契约,不可重命名(如 `volume` 不能改为 `volume_ml`
- `status` 字符串必须与同类已有设备一致(如 `"Idle"` 不能改为 `"就绪"`
- `self.data` 必须在 `__init__` 中预填充所有属性字段
- 异步方法中使用 `await self._ros_node.sleep()`,禁止 `time.sleep()``asyncio.sleep()`
```bash
# Install in editable mode (requires mamba env with python 3.11)
pip install -e .
uv pip install -r unilabos/utils/requirements.txt
## 项目结构
# Run with a device graph
unilab --graph <graph.json> --config <config.py> --backend ros
unilab --graph <graph.json> --config <config.py> --backend simple # no ROS2 needed
- 设备驱动:`unilabos/devices/<category>/<device_name>.py`
- 设备注册表:`unilabos/registry/devices/<device_name>.yaml`
- 实验图文件:`unilabos/test/experiments/*.json`
- 人类开发文档:`docs/developer_guide/`
- AI 专用指南:`docs/ai_guides/`
# Common CLI flags
unilab --app_bridges websocket fastapi # communication bridges
unilab --test_mode # simulate hardware, no real execution
unilab --check_mode # CI validation of registry imports
unilab --skip_env_check # skip auto-install of dependencies
unilab --visual rviz|web|disable # visualization mode
unilab --is_slave # run as slave node
# Workflow upload subcommand
unilab workflow_upload -f <workflow.json> -n <name> --tags tag1 tag2
# Tests
pytest tests/ # all tests
pytest tests/resources/test_resourcetreeset.py # single test file
pytest tests/resources/test_resourcetreeset.py::TestClassName::test_method # single test
```
## Architecture
### Startup Flow
`unilab` CLI → `unilabos/app/main.py:main()` → loads config → builds registry → reads device graph (JSON/GraphML) → starts backend thread (ROS2/simple) → starts FastAPI web server + WebSocket client.
### Core Layers
**Registry** (`unilabos/registry/`): Singleton `Registry` class discovers and catalogs all device types, resource types, and communication devices from YAML definitions. Device types live in `registry/devices/*.yaml`, resources in `registry/resources/`, comms in `registry/device_comms/`. The registry resolves class paths to actual Python classes via `utils/import_manager.py`.
**Resource Tracking** (`unilabos/resources/resource_tracker.py`): Pydantic-based `ResourceDict``ResourceDictInstance``ResourceTreeSet` hierarchy. `ResourceTreeSet` is the canonical in-memory representation of all devices and resources, used throughout the system. Graph I/O is in `resources/graphio.py` (reads JSON/GraphML device topology files into `nx.Graph` + `ResourceTreeSet`).
**Device Drivers** (`unilabos/devices/`): 30+ hardware drivers organized by device type (liquid_handling, hplc, balance, arm, etc.). Each driver is a Python class that gets wrapped by `ros/device_node_wrapper.py:ros2_device_node()` to become a ROS2 node with publishers, subscribers, and action servers.
**ROS2 Layer** (`unilabos/ros/`): `device_node_wrapper.py` dynamically wraps any device class into `ROS2DeviceNode` (defined in `ros/nodes/base_device_node.py`). Preset node types in `ros/nodes/presets/` include `host_node`, `controller_node`, `workstation`, `serial_node`, `camera`. Messages use custom `unilabos_msgs` (pre-built, distributed via releases).
**Protocol Compilation** (`unilabos/compile/`): 20+ protocol compilers (add, centrifuge, dissolve, filter, heatchill, stir, pump, etc.) that transform YAML protocol definitions into executable sequences.
**Communication** (`unilabos/device_comms/`): Hardware communication adapters — OPC-UA client, Modbus PLC, RPC, and a universal driver. `app/communication.py` provides a factory pattern for WebSocket client connections to the cloud.
**Web/API** (`unilabos/app/web/`): FastAPI server with REST API (`api.py`), Jinja2 template pages (`pages.py`), and HTTP client for cloud communication (`client.py`). Runs on port 8002 by default.
### Configuration System
- **Config classes** in `unilabos/config/config.py`: `BasicConfig`, `WSConfig`, `HTTPConfig`, `ROSConfig` — all class-level attributes, loaded from Python config files
- Config files are `.py` files with matching class names (see `config/example_config.py`)
- Environment variables override with prefix `UNILABOS_` (e.g., `UNILABOS_BASICCONFIG_PORT=9000`)
- Device topology defined in graph files (JSON with node-link format, or GraphML)
### Key Data Flow
1. Graph file → `graphio.read_node_link_json()``(nx.Graph, ResourceTreeSet, resource_links)`
2. `ResourceTreeSet` + `Registry``initialize_device.initialize_device_from_dict()``ROS2DeviceNode` instances
3. Device nodes communicate via ROS2 topics/actions or direct Python calls (simple backend)
4. Cloud sync via WebSocket (`app/ws_client.py`) and HTTP (`app/web/client.py`)
### Test Data
Example device graphs and experiment configs are in `unilabos/test/experiments/` (not `tests/`). Registry test fixtures in `unilabos/test/registry/`.
## Code Conventions
- Code comments and log messages in simplified Chinese
- Python 3.11+, type hints expected
- Pydantic models for data validation (`resource_tracker.py`)
- Singleton pattern via `@singleton` decorator (`utils/decorator.py`)
- Dynamic class loading via `utils/import_manager.py` — device classes resolved at runtime from registry YAML paths
- CLI argument dashes auto-converted to underscores for consistency
## Licensing
- Framework code: GPL-3.0
- Device drivers (`unilabos/devices/`): DP Technology Proprietary License — do not redistribute

View File

@@ -1,14 +1,4 @@
# Uni-Lab-OS
## 设备接入
Please follow the rules defined in:
读取 `docs/ai_guides/add_device.md` 获取完整的自包含指南。
如果可以访问仓库,优先搜索 `unilabos/registry/devices/` 获取最新设备接口;
否则使用指南中内联的「现有设备接口快照」。
## 关键规则
- 动作方法的参数名是接口契约,不可重命名(如 `volume` 不能改为 `volume_ml`
- `status` 字符串必须与同类已有设备一致(如 `"Idle"` 不能改为 `"就绪"`
- `self.data` 必须在 `__init__` 中预填充所有属性字段
- 异步方法中使用 `await self._ros_node.sleep()`,禁止 `time.sleep()``asyncio.sleep()`
@AGENTS.md

File diff suppressed because it is too large Load Diff

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@@ -1,344 +0,0 @@
# Uni-Lab-OS 设备接入 Agent — 提示词模板
> 本文件提供一套可直接复制使用的 Agent 系统提示词,以及各平台的配置说明。
> 提示词模板与 `add_device.md`(领域知识)配合使用,前者控制 Agent 行为,后者提供完整的技术细节。
---
## 系统提示词模板
以下内容可直接作为系统提示词 / Instructions / Custom Instructions 使用。`{{...}}` 标记的变量根据平台替换。
---
### 开始复制 ↓
```
你是 Uni-Lab-OS 设备接入专家。你的任务是帮助用户将新的实验室硬件设备接入 Uni-Lab-OS 系统。
你能做的事:
- 根据用户描述生成完整的设备驱动代码Python、注册表YAML和实验图文件JSON
- 解读用户提供的通信协议文档、SDK 代码、或口述的指令格式
- 诊断已有驱动代码的接口对齐问题
你不能做的事:
- 凭空猜测硬件私有通信指令(必须从用户提供的资料中获取)
- 替代真实硬件联调测试
## 知识来源
{{KNOWLEDGE_LOADING}}
## 工作流程
当用户要求接入新设备时,严格按以下流程执行。每个暂停点必须等待用户确认后再继续。
### 阶段 1设备画像交互
向用户收集以下三个信息,可以一次性提问:
1. **设备类别** — 属于以下哪一种?
- temperature温控、pump_and_valve泵阀、motor电机
- heaterstirrer加热搅拌、balance天平、sensor传感器
- liquid_handling液体处理、robot_arm机械臂、workstation工作站
- virtual虚拟设备、custom自定义
- 如果是 pump_and_valve进一步确认子类型注射泵 / 电磁阀 / 蠕动泵
2. **设备英文名称** — 用于文件名和类名(如 my_heater、runze_sy03b
3. **通信协议** — Serial(RS232/RS485) / Modbus RTU / Modbus TCP / TCP Socket / HTTP API / OPC UA / 无通信(虚拟)
⏸️ **暂停:等待用户回答后继续**
### 阶段 2指令协议收集交互
根据上一步确定的通信协议,引导用户提供指令信息:
- 如果用户有 **SDK/驱动代码**:请用户提供代码文件,你从中提取通信逻辑
- 如果用户有 **协议文档**请用户提供文档PDF/图片/文本),你从中解析指令格式
- 如果用户 **口头描述**:针对每个标准动作逐一确认硬件指令
- 如果是 **标准协议**Modbus 寄存器表、SCPI请用户提供寄存器/指令映射
- 如果是 **虚拟设备**:跳过此阶段
⏸️ **暂停:确认已获取足够的指令协议信息**
### 阶段 3确认摘要
在开始生成代码前,向用户展示你的理解摘要:
```
设备接入摘要:
- 设备名称:<name>
- 设备类别:<category><subtype>
- 通信协议:<protocol>
- 指令来源:<source>
- 将要实现的属性:<list>
- 将要实现的动作:<list>
- 同类已有设备:<existing>(将对齐其接口)
```
⏸️ **暂停:用户确认"没问题"后再生成代码**
### 阶段 4自动生成无需暂停
按以下顺序自动执行:
1. **对齐同类设备接口**(指南第四步)
- 查阅指南中的「现有设备接口快照」或搜索仓库注册表
- 确保所有已有设备的 status_types 和动作方法都被覆盖
- 参数名必须完全一致
2. **生成驱动代码** — `unilabos/devices/<category>/<name>.py`
3. **生成注册表** — `unilabos/registry/devices/<name>.yaml`(最小配置)
4. **生成图文件** — `unilabos/test/experiments/graph_example_<name>.json`
### 阶段 5验证输出
生成完成后,逐项检查对齐验证清单并展示结果:
```
对齐验证清单:
- [x] 所有动作方法的参数名与已有设备完全一致
- [x] status 属性返回的字符串值与已有设备一致
- [x] 已有设备的所有 status_types 字段都有对应 @property
- [x] 已有设备的所有非 auto- 前缀的 action 都有对应方法
- [x] self.data 在 __init__ 中已预填充所有属性字段的默认值
- [x] 串口/二进制协议的响应解析先定位帧起始标记
```
如果有未通过的项,主动修复后再展示。
## 硬约束(违反任何一条都会导致设备接入失败)
1. **禁止重命名参数** — 动作方法的参数名(如 volume、position、max_velocity是接口契约框架通过参数名分派调用。绝不能加后缀如 volume_ml、改名如 speed_ml_s。单位写在 docstring 中。
2. **status 字符串必须一致** — 如果同类已有设备用英文(如 "Idle" / "Busy"),新驱动必须用相同的字符串,不能改为中文(如 "就绪")。
3. **self.data 必须预填充** — 不能用空字典 {}。框架在 initialize() 之前就可能读取属性值。每个 @property 对应的键都必须在 __init__ 中有初始值。
4. **禁止跳过接口对齐** — 对齐同类设备接口是强制步骤。缺失的属性和动作会导致设备在工作流中不可互换。
5. **串口解析先找帧头** — RS-485 总线上响应前常有回声/噪声字节。必须先定位帧起始标记(如 /、0xFE禁止用硬编码索引直接解析。
6. **异步等待用 _ros_node.sleep** — 在 async 方法中使用 await self._ros_node.sleep(),禁止 time.sleep()(阻塞事件循环)和 asyncio.sleep()。
7. **物理单位对外暴露** — 对外参数使用用户友好的物理单位mL、°C、RPM驱动内部负责转换到硬件原始值步数、Hz、寄存器值
## 代码骨架参考
所有设备驱动遵循以下结构:
```python
import logging
import time as time_module
from typing import Dict, Any
try:
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
except ImportError:
BaseROS2DeviceNode = None
class MyDevice:
_ros_node: "BaseROS2DeviceNode"
def __init__(self, device_id: str = None, config: Dict[str, Any] = None, **kwargs):
if device_id is None and 'id' in kwargs:
device_id = kwargs.pop('id')
if config is None and 'config' in kwargs:
config = kwargs.pop('config')
self.device_id = device_id or "unknown_device"
self.config = config or {}
self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
self.data = {
"status": "Idle",
# 所有 @property 的键都必须在此预填充
}
def post_init(self, ros_node: "BaseROS2DeviceNode"):
self._ros_node = ros_node
async def initialize(self) -> bool:
self.data["status"] = "Idle"
return True
async def cleanup(self) -> bool:
self.data["status"] = "Offline"
return True
@property
def status(self) -> str:
return self.data.get("status", "Idle")
```
## 注册表最小配置
```yaml
my_device:
class:
module: unilabos.devices.<category>.<file>:MyDevice
type: python
```
启动时 --complete_registry 自动生成 status_types 和 action_value_mappings。
## 图文件模板
```json
{
"nodes": [
{
"id": "my_device_1",
"name": "设备名称",
"children": [],
"parent": null,
"type": "device",
"class": "my_device",
"position": {"x": 0, "y": 0, "z": 0},
"config": {},
"data": {}
}
]
}
```
## 现有设备接口快照(对齐用)
对齐时参考以下已有设备接口。如果能联网,优先从 GitHub 获取最新版本:
https://github.com/dptech-corp/Uni-Lab-OS/tree/main/unilabos/registry/devices/
### pump_and_valve — 注射泵
已有设备syringe_pump_with_valve.runze.SY03B-T06
属性status(str, "Idle"/"Busy"), valve_position(str), position(float, mL), max_velocity(float, mL/s), mode(int), plunger_position(String), velocity_grade(String), velocity_init(String), velocity_end(String)
方法签名(参数名不可改):
- initialize()
- set_valve_position(position)
- set_position(position: float, max_velocity: float = None)
- pull_plunger(volume: float)
- push_plunger(volume: float)
- set_max_velocity(velocity: float)
- set_velocity_grade(velocity)
- stop_operation()
### pump_and_valve — 电磁阀
属性status(str), valve_position(str)
方法open(), close(), set_valve_position(position), is_open(), is_closed()
### temperature
属性status(str), temp(float, °C), temp_target(float, °C), stir_speed(float, RPM), temp_warning(float, °C)
### motor
属性status(str), position(int)
### sensor
属性level(bool), rssi(int)
```
### 结束复制 ↑
---
## `{{KNOWLEDGE_LOADING}}` 变量替换
根据平台能力,将提示词中的 `{{KNOWLEDGE_LOADING}}` 替换为以下对应内容:
### 方案 A有知识库Custom GPT / Claude Project
```
你的知识库中包含 add_device.md 文件,这是完整的设备接入指南。
执行工作流时,参考该文件获取物模型模板、通信协议代码片段、指令协议模式和常见错误检查清单。
本提示词中的「现有设备接口快照」和「硬约束」是从指南中提炼的关键内容,以确保即使知识库检索不完整也能正确工作。
```
### 方案 B有联网能力
```
执行工作流前,从以下 URL 获取完整的设备接入指南:
https://raw.githubusercontent.com/dptech-corp/Uni-Lab-OS/main/docs/ai_guides/add_device.md
该指南包含物模型模板、通信协议代码片段、指令协议模式和常见错误检查清单。
如果无法访问 URL使用本提示词中内联的「现有设备接口快照」和「代码骨架参考」作为兜底。
```
### 方案 C无知识库、无联网
```
完整的设备接入指南需要用户在对话中提供。
如果用户未主动提供,请在阶段 1 开始前询问:
"请将 add_device.md 的内容粘贴到对话中,或上传该文件。如果没有该文件,我将使用内置的精简规则工作。"
本提示词已内联了最关键的内容(硬约束 + 代码骨架 + 接口快照),足以生成基本正确的驱动。
但完整指南包含更多物模型模板和通信协议代码片段,能显著提升生成质量。
```
---
## 各平台配置指南
### OpenAI Custom GPT
1. 进入 https://chat.openai.com/gpts/editor
2. **Name**Uni-Lab-OS 设备接入助手
3. **Description**:帮助用户将实验室硬件设备接入 Uni-Lab-OS 系统,自动生成驱动代码、注册表和图文件。
4. **Instructions**:粘贴上方系统提示词,`{{KNOWLEDGE_LOADING}}` 替换为方案 A
5. **Knowledge**:上传 `docs/ai_guides/add_device.md`
6. **Capabilities**:开启 Code Interpreter用于代码验证
7. **Conversation starters**
- "我要接入一个新的注射泵"
- "帮我把这个 SDK 包装成 UniLab 驱动"
- "检查我的设备驱动有没有接口问题"
### Claude Project
1. 创建新 Project
2. **Custom Instructions**:粘贴系统提示词,`{{KNOWLEDGE_LOADING}}` 替换为方案 A
3. **Project Knowledge**:上传 `docs/ai_guides/add_device.md`
### API AgentLangChain / AutoGen / 自建框架)
```python
system_prompt = """
<粘贴完整系统提示词,{{KNOWLEDGE_LOADING}} 替换为方案 B>
"""
# 如果框架支持工具调用,可注册以下工具:
tools = [
{
"name": "fetch_device_guide",
"description": "获取最新的 Uni-Lab-OS 设备接入指南",
"url": "https://raw.githubusercontent.com/dptech-corp/Uni-Lab-OS/main/docs/ai_guides/add_device.md"
},
{
"name": "fetch_registry",
"description": "获取最新的设备注册表",
"url": "https://raw.githubusercontent.com/dptech-corp/Uni-Lab-OS/main/unilabos/registry/devices/{category}.yaml"
},
]
```
### Cursor Agent Mode
无需使用本模板。Cursor 中使用已有的 `.cursor/skills/add-device/SKILL.md`,它会自动读取 `docs/ai_guides/add_device.md` 并利用 Cursor 的工具能力Grep 搜索注册表、AskQuestion 收集信息等)。
### 纯网页对话ChatGPT / Claude 无 Project
1. 第一条消息粘贴系统提示词(`{{KNOWLEDGE_LOADING}}` 替换为方案 C
2. 第二条消息上传或粘贴 `add_device.md`
3. 第三条消息开始描述设备
---
## 维护说明
- **硬约束更新**:如果 `add_device.md` 中新增了禁止事项或常见错误,需要同步更新本模板的「硬约束」部分
- **接口快照更新**:新增设备类别或已有设备接口变更时,需要同步更新本模板的「现有设备接口快照」部分
- **工作流调整**:如果接入流程发生变化(新增步骤、合并步骤),需要同步调整「工作流程」部分
- 本模板与 `add_device.md` 是**互补关系**:模板定义 Agent 行为,指南提供领域知识。两者独立维护

View File

@@ -15,6 +15,9 @@ Python 类设备驱动在完成注册表后可以直接在 Uni-Lab 中使用,
**示例:**
```python
from unilabos.registry.decorators import device, topic_config
@device(id="mock_gripper", category=["gripper"], description="Mock Gripper")
class MockGripper:
def __init__(self):
self._position: float = 0.0
@@ -23,19 +26,23 @@ class MockGripper:
self._status = "Idle"
@property
@topic_config() # 添加 @topic_config 才会定时广播
def position(self) -> float:
return self._position
@property
@topic_config()
def velocity(self) -> float:
return self._velocity
@property
@topic_config()
def torque(self) -> float:
return self._torque
# 会被自动识别的设备属性,接入 Uni-Lab 时会定时对外广播
# 使用 @topic_config 装饰的属性,接入 Uni-Lab 时会定时对外广播
@property
@topic_config(period=2.0) # 可自定义发布周期
def status(self) -> str:
return self._status
@@ -149,7 +156,7 @@ my_device: # 设备唯一标识符
系统会自动分析您的 Python 驱动类并生成:
- `status_types`:从 `@property` 装饰的方法自动识别状态属性
- `status_types`:从 `@topic_config` 装饰的 `@property` 方法自动识别状态属性
- `action_value_mappings`:从类方法自动生成动作映射
- `init_param_schema`:从 `__init__` 方法分析初始化参数
- `schema`:前端显示用的属性类型定义
@@ -179,7 +186,9 @@ Uni-Lab 设备驱动是一个 Python 类,需要遵循以下结构:
```python
from typing import Dict, Any
from unilabos.registry.decorators import device, topic_config
@device(id="my_device", category=["general"], description="My Device")
class MyDevice:
"""设备类文档字符串
@@ -198,8 +207,9 @@ class MyDevice:
# 初始化硬件连接
@property
@topic_config() # 必须添加 @topic_config 才会广播
def status(self) -> str:
"""设备状态(会自动广播)"""
"""设备状态(通过 @topic_config 广播)"""
return self._status
def my_action(self, param: float) -> Dict[str, Any]:
@@ -217,34 +227,61 @@ class MyDevice:
## 状态属性 vs 动作方法
### 状态属性(@property
### 状态属性(@property + @topic_config
状态属性会被自动识别并定期广播:
状态属性需要同时使用 `@property``@topic_config` 装饰器才会被识别并定期广播:
```python
from unilabos.registry.decorators import topic_config
@property
@topic_config() # 必须添加,否则不会广播
def temperature(self) -> float:
"""当前温度"""
return self._read_temperature()
@property
@topic_config(period=2.0) # 可自定义发布周期(秒)
def status(self) -> str:
"""设备状态: idle, running, error"""
return self._status
@property
@topic_config(name="ready") # 可自定义发布名称
def is_ready(self) -> bool:
"""设备是否就绪"""
return self._status == "idle"
```
也可以使用普通方法(非 @property)配合 `@topic_config`
```python
@topic_config(period=10.0)
def get_sensor_data(self) -> Dict[str, float]:
"""获取传感器数据get_ 前缀会自动去除,发布名为 sensor_data"""
return {"temp": self._temp, "humidity": self._humidity}
```
**`@topic_config` 参数**:
| 参数 | 类型 | 默认值 | 说明 |
|------|------|--------|------|
| `period` | float | 5.0 | 发布周期(秒) |
| `print_publish` | bool | 节点默认 | 是否打印发布日志 |
| `qos` | int | 10 | QoS 深度 |
| `name` | str | None | 自定义发布名称 |
**发布名称优先级**`@topic_config(name=...)` > `get_` 前缀去除 > 方法名
**特点**:
- 使用`@property`装饰器
- 只读,不能有参数
- 自动添加到注册表的`status_types`
- 必须使用 `@topic_config` 装饰器
- 支持 `@property` 和普通方法
- 添加到注册表的 `status_types`
- 定期发布到 ROS2 topic
> **⚠️ 重要:** 仅有 `@property` 装饰器而没有 `@topic_config` 的属性**不会**被广播。这是一个 Breaking Change。
### 动作方法
动作方法是设备可以执行的操作:
@@ -497,6 +534,7 @@ class LiquidHandler:
self._status = "idle"
@property
@topic_config()
def status(self) -> str:
return self._status
@@ -886,7 +924,52 @@ class MyDevice:
## 最佳实践
### 1. 类型注解
### 1. 使用 `@device` 装饰器标识设备
```python
from unilabos.registry.decorators import device
@device(id="my_device", category=["heating"], description="My Heating Device", icon="heater.webp")
class MyDevice:
...
```
- `id`:设备唯一标识符,用于注册表匹配
- `category`:分类列表,前端用于分组显示
- `description`:设备描述
- `icon`:图标文件名(可选)
### 2. 使用 `@topic_config` 声明需要广播的状态
```python
from unilabos.registry.decorators import topic_config
# ✓ @property + @topic_config → 会广播
@property
@topic_config(period=2.0)
def temperature(self) -> float:
return self._temp
# ✓ 普通方法 + @topic_config → 会广播get_ 前缀自动去除)
@topic_config(period=10.0)
def get_sensor_data(self) -> Dict[str, float]:
return {"temp": self._temp}
# ✓ 使用 name 参数自定义发布名称
@property
@topic_config(name="ready")
def is_ready(self) -> bool:
return self._status == "idle"
# ✗ 仅有 @property没有 @topic_config → 不会广播
@property
def internal_state(self) -> str:
return self._state
```
> **注意:** 与 `@property` 连用时,`@topic_config` 必须放在 `@property` 下面。
### 3. 类型注解
```python
from typing import Dict, Any, Optional, List
@@ -901,7 +984,7 @@ def method(
pass
```
### 2. 文档字符串
### 4. 文档字符串
```python
def method(self, param: float) -> Dict[str, Any]:
@@ -923,7 +1006,7 @@ def method(self, param: float) -> Dict[str, Any]:
pass
```
### 3. 配置验证
### 5. 配置验证
```python
def __init__(self, config: Dict[str, Any]):
@@ -937,7 +1020,7 @@ def __init__(self, config: Dict[str, Any]):
self.baudrate = config['baudrate']
```
### 4. 资源清理
### 6. 资源清理
```python
def __del__(self):
@@ -946,7 +1029,7 @@ def __del__(self):
self.connection.close()
```
### 5. 设计前端友好的返回值
### 7. 设计前端友好的返回值
**记住:返回值会直接显示在 Web 界面**

View File

@@ -422,18 +422,20 @@ placeholder_keys:
### status_types
系统会扫描你的 Python 类,从状态方法property 或 get\_方法自动生成这部分:
系统会扫描你的 Python 类,从带有 `@topic_config` 装饰器的 `@property`方法自动生成这部分:
```yaml
status_types:
current_temperature: float # 从 get_current_temperature() 或 @property current_temperature
is_heating: bool # 从 get_is_heating() 或 @property is_heating
status: str # 从 get_status() 或 @property status
current_temperature: float # 从 @topic_config 装饰的 @property 或方法
is_heating: bool
status: str
```
**注意事项**
- 系统会查找所有 `get_` 开头的方法和 `@property` 装饰的属性
- 仅有带 `@topic_config` 装饰器的 `@property` 或方法才会被识别为状态属性
- 没有 `@topic_config``@property` 不会生成 status_types也不会广播
- `get_` 前缀的方法名会自动去除前缀(如 `get_temperature``temperature`
- 类型会自动转成相应的类型(如 `str``float``bool`
- 如果类型是 `Any``None` 或未知的,默认使用 `String`
@@ -537,11 +539,13 @@ class AdvancedLiquidHandler:
self._temperature = 25.0
@property
@topic_config()
def status(self) -> str:
"""设备状态"""
return self._status
@property
@topic_config()
def temperature(self) -> float:
"""当前温度"""
return self._temperature
@@ -809,21 +813,23 @@ my_temperature_controller:
你的设备类需要符合以下要求:
```python
from unilabos.common.device_base import DeviceBase
from unilabos.registry.decorators import device, topic_config
class MyDevice(DeviceBase):
@device(id="my_device", category=["temperature"], description="My Device")
class MyDevice:
def __init__(self, config):
"""初始化,参数会自动分析到 init_param_schema.config"""
super().__init__(config)
self.port = config.get('port', '/dev/ttyUSB0')
# 状态方法(会自动生成到 status_types
# 状态方法(必须添加 @topic_config 才会生成到 status_types 并广播
@property
@topic_config()
def status(self):
"""返回设备状态"""
return "idle"
@property
@topic_config()
def temperature(self):
"""返回当前温度"""
return 25.0
@@ -1039,7 +1045,34 @@ resource.type # "resource"
### 代码规范
1. **始终使用类型注解**
1. **使用 `@device` 装饰器标识设备类**
```python
from unilabos.registry.decorators import device
@device(id="my_device", category=["heating"], description="My Device")
class MyDevice:
...
```
2. **使用 `@topic_config` 声明广播属性**
```python
from unilabos.registry.decorators import topic_config
# ✓ 需要广播的状态属性
@property
@topic_config(period=2.0)
def temperature(self) -> float:
return self._temp
# ✗ 仅有 @property 不会广播
@property
def internal_counter(self) -> int:
return self._counter
```
3. **始终使用类型注解**
```python
# ✓ 好
@@ -1051,7 +1084,7 @@ def method(self, resource, device):
pass
```
2. **提供有意义的参数名**
4. **提供有意义的参数名**
```python
# ✓ 好 - 清晰的参数名
@@ -1063,7 +1096,7 @@ def transfer(self, r1: ResourceSlot, r2: ResourceSlot):
pass
```
3. **使用 Optional 表示可选参数**
5. **使用 Optional 表示可选参数**
```python
from typing import Optional
@@ -1076,7 +1109,7 @@ def method(
pass
```
4. **添加详细的文档字符串**
6. **添加详细的文档字符串**
```python
def method(
@@ -1096,13 +1129,13 @@ def method(
pass
```
5. **方法命名规范**
7. **方法命名规范**
- 状态方法使用 `@property` 装饰器或 `get_` 前缀
- 状态方法使用 `@property` + `@topic_config` 装饰器,或普通方法 + `@topic_config`
- 动作方法使用动词开头
- 保持命名清晰、一致
6. **完善的错误处理**
8. **完善的错误处理**
- 实现完善的错误处理
- 添加日志记录
- 提供有意义的错误信息

View File

@@ -221,10 +221,10 @@ Laboratory A Laboratory B
```bash
# 实验室A
unilab --ak your_ak --sk your_sk --upload_registry --use_remote_resource
unilab --ak your_ak --sk your_sk --upload_registry
# 实验室B
unilab --ak your_ak --sk your_sk --upload_registry --use_remote_resource
unilab --ak your_ak --sk your_sk --upload_registry
```
---

View File

@@ -22,7 +22,6 @@ options:
--is_slave Run the backend as slave node (without host privileges).
--slave_no_host Skip waiting for host service in slave mode
--upload_registry Upload registry information when starting unilab
--use_remote_resource Use remote resources when starting unilab
--config CONFIG Configuration file path, supports .py format Python config files
--port PORT Port for web service information page
--disable_browser Disable opening information page on startup
@@ -85,7 +84,7 @@ Uni-Lab 的启动过程分为以下几个阶段:
支持两种方式:
- **本地文件**:使用 `-g` 指定图谱文件(支持 JSON 和 GraphML 格式)
- **远程资源**使用 `--use_remote_resource` 从云端获取
- **远程资源**不指定本地文件即可
### 7. 注册表构建
@@ -196,7 +195,7 @@ unilab --config path/to/your/config.py
unilab --ak your_ak --sk your_sk -g path/to/graph.json --upload_registry
# 使用远程资源启动
unilab --ak your_ak --sk your_sk --use_remote_resource
unilab --ak your_ak --sk your_sk
# 更新注册表
unilab --ak your_ak --sk your_sk --complete_registry

View File

@@ -4,6 +4,7 @@ import os
import platform
import shutil
import signal
import subprocess
import sys
import threading
import time
@@ -25,6 +26,84 @@ from unilabos.config.config import load_config, BasicConfig, HTTPConfig
_restart_requested: bool = False
_restart_reason: str = ""
RESTART_EXIT_CODE = 42
def _build_child_argv():
"""Build sys.argv for child process, stripping supervisor-only arguments."""
result = []
skip_next = False
for arg in sys.argv:
if skip_next:
skip_next = False
continue
if arg in ("--restart_mode", "--restart-mode"):
continue
if arg in ("--auto_restart_count", "--auto-restart-count"):
skip_next = True
continue
if arg.startswith("--auto_restart_count=") or arg.startswith("--auto-restart-count="):
continue
result.append(arg)
return result
def _run_as_supervisor(max_restarts: int):
"""
Supervisor process that spawns and monitors child processes.
Similar to Uvicorn's --reload: the supervisor itself does no heavy work,
it only launches the real process as a child and restarts it when the child
exits with RESTART_EXIT_CODE.
"""
child_argv = [sys.executable] + _build_child_argv()
restart_count = 0
print_status(
f"[Supervisor] Restart mode enabled (max restarts: {max_restarts}), "
f"child command: {' '.join(child_argv)}",
"info",
)
while True:
print_status(
f"[Supervisor] Launching process (restart {restart_count}/{max_restarts})...",
"info",
)
try:
process = subprocess.Popen(child_argv)
exit_code = process.wait()
except KeyboardInterrupt:
print_status("[Supervisor] Interrupted, terminating child process...", "info")
process.terminate()
try:
process.wait(timeout=10)
except subprocess.TimeoutExpired:
process.kill()
process.wait()
sys.exit(1)
if exit_code == RESTART_EXIT_CODE:
restart_count += 1
if restart_count > max_restarts:
print_status(
f"[Supervisor] Maximum restart count ({max_restarts}) reached, exiting",
"warning",
)
sys.exit(1)
print_status(
f"[Supervisor] Child requested restart ({restart_count}/{max_restarts}), restarting in 2s...",
"info",
)
time.sleep(2)
else:
if exit_code != 0:
print_status(f"[Supervisor] Child exited with code {exit_code}", "warning")
else:
print_status("[Supervisor] Child exited normally", "info")
sys.exit(exit_code)
def load_config_from_file(config_path):
if config_path is None:
@@ -66,6 +145,13 @@ def parse_args():
action="append",
help="Path to the registry directory",
)
parser.add_argument(
"--devices",
type=str,
default=None,
action="append",
help="Path to Python code directory for AST-based device/resource scanning",
)
parser.add_argument(
"--working_dir",
type=str,
@@ -155,12 +241,6 @@ def parse_args():
action="store_true",
help="Skip environment dependency check on startup",
)
parser.add_argument(
"--complete_registry",
action="store_true",
default=False,
help="Complete registry information",
)
parser.add_argument(
"--check_mode",
action="store_true",
@@ -178,6 +258,24 @@ def parse_args():
default=False,
help="Test mode: all actions simulate execution and return mock results without running real hardware",
)
parser.add_argument(
"--extra_resource",
action="store_true",
default=False,
help="Load extra lab_ prefixed labware resources (529 auto-generated definitions from lab_resources.py)",
)
parser.add_argument(
"--restart_mode",
action="store_true",
default=False,
help="Enable supervisor mode: automatically restart the process when triggered via WebSocket",
)
parser.add_argument(
"--auto_restart_count",
type=int,
default=500,
help="Maximum number of automatic restarts in restart mode (default: 500)",
)
# workflow upload subcommand
workflow_parser = subparsers.add_parser(
"workflow_upload",
@@ -228,6 +326,11 @@ def main():
args = parser.parse_args()
args_dict = vars(args)
# Supervisor mode: spawn child processes and monitor for restart
if args_dict.get("restart_mode", False):
_run_as_supervisor(args_dict.get("auto_restart_count", 5))
return
# 环境检查 - 检查并自动安装必需的包 (可选)
skip_env_check = args_dict.get("skip_env_check", False)
check_mode = args_dict.get("check_mode", False)
@@ -358,6 +461,9 @@ def main():
BasicConfig.test_mode = args_dict.get("test_mode", False)
if BasicConfig.test_mode:
print_status("启用测试模式:所有动作将模拟执行,不调用真实硬件", "warning")
BasicConfig.extra_resource = args_dict.get("extra_resource", False)
if BasicConfig.extra_resource:
print_status("启用额外资源加载将加载lab_开头的labware资源定义", "info")
BasicConfig.communication_protocol = "websocket"
machine_name = platform.node()
machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
@@ -382,22 +488,30 @@ def main():
# 显示启动横幅
print_unilab_banner(args_dict)
# 注册表 - check_mode 时强制启用 complete_registry
complete_registry = args_dict.get("complete_registry", False) or check_mode
lab_registry = build_registry(args_dict["registry_path"], complete_registry, BasicConfig.upload_registry)
# Step 0: AST 分析优先 + YAML 注册表加载
# check_mode 和 upload_registry 都会执行实际 import 验证
devices_dirs = args_dict.get("devices", None)
lab_registry = build_registry(
registry_paths=args_dict["registry_path"],
devices_dirs=devices_dirs,
upload_registry=BasicConfig.upload_registry,
check_mode=check_mode,
)
# Check mode: complete_registry 完成后直接退出git diff 检测由 CI workflow 执行
# Check mode: 注册表验证完成后直接退出
if check_mode:
print_status("Check mode: complete_registry 完成,退出", "info")
device_count = len(lab_registry.device_type_registry)
resource_count = len(lab_registry.resource_type_registry)
print_status(f"Check mode: 注册表验证完成 ({device_count} 设备, {resource_count} 资源),退出", "info")
os._exit(0)
# Step 1: 上传全部注册表到服务端,同步保存到 unilabos_data
if BasicConfig.upload_registry:
# 设备注册到服务端 - 需要 ak 和 sk
if BasicConfig.ak and BasicConfig.sk:
print_status("开始注册设备到服务端...", "info")
# print_status("开始注册设备到服务端...", "info")
try:
register_devices_and_resources(lab_registry)
print_status("设备注册完成", "info")
# print_status("设备注册完成", "info")
except Exception as e:
print_status(f"设备注册失败: {e}", "error")
else:
@@ -482,7 +596,7 @@ def main():
continue
# 如果从远端获取了物料信息,则与本地物料进行同步
if request_startup_json and "nodes" in request_startup_json:
if file_path is not None and request_startup_json and "nodes" in request_startup_json:
print_status("开始同步远端物料到本地...", "info")
remote_tree_set = ResourceTreeSet.from_raw_dict_list(request_startup_json["nodes"])
resource_tree_set.merge_remote_resources(remote_tree_set)
@@ -579,6 +693,10 @@ def main():
open_browser=not args_dict["disable_browser"],
port=BasicConfig.port,
)
if restart_requested:
print_status("[Main] Restart requested, cleaning up...", "info")
cleanup_for_restart()
os._exit(RESTART_EXIT_CODE)
if __name__ == "__main__":

View File

@@ -1,60 +1,83 @@
import json
import time
from typing import Optional, Tuple, Dict, Any
from typing import Any, Dict, Optional, Tuple
from unilabos.utils.log import logger
from unilabos.utils.type_check import TypeEncoder
try:
import orjson
def _normalize_device(info: dict) -> dict:
"""Serialize via orjson to strip non-JSON types (type objects etc.)."""
return orjson.loads(orjson.dumps(info, default=str))
except ImportError:
def _normalize_device(info: dict) -> dict:
return json.loads(json.dumps(info, ensure_ascii=False, cls=TypeEncoder))
def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[Tuple[Dict[str, Any], Dict[str, Any]]]:
"""
注册设备和资源到服务器仅支持HTTP
"""
# 注册资源信息 - 使用HTTP方式
from unilabos.app.web.client import http_client
logger.info("[UniLab Register] 开始注册设备和资源...")
# 注册设备信息
devices_to_register = {}
for device_info in lab_registry.obtain_registry_device_info():
devices_to_register[device_info["id"]] = json.loads(
json.dumps(device_info, ensure_ascii=False, cls=TypeEncoder)
)
logger.debug(f"[UniLab Register] 收集设备: {device_info['id']}")
devices_to_register[device_info["id"]] = _normalize_device(device_info)
logger.trace(f"[UniLab Register] 收集设备: {device_info['id']}")
resources_to_register = {}
for resource_info in lab_registry.obtain_registry_resource_info():
resources_to_register[resource_info["id"]] = resource_info
logger.debug(f"[UniLab Register] 收集资源: {resource_info['id']}")
logger.trace(f"[UniLab Register] 收集资源: {resource_info['id']}")
if gather_only:
return devices_to_register, resources_to_register
# 注册设备
if devices_to_register:
try:
start_time = time.time()
response = http_client.resource_registry({"resources": list(devices_to_register.values())})
response = http_client.resource_registry(
{"resources": list(devices_to_register.values())},
tag="device_registry",
)
cost_time = time.time() - start_time
if response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time}s")
res_data = response.json() if response.status_code == 200 else {}
skipped = res_data.get("data", {}).get("skipped", False)
if skipped:
logger.info(
f"[UniLab Register] 设备注册跳过(内容未变化)"
f" {len(devices_to_register)}{cost_time:.3f}s"
)
elif response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time:.3f}s")
else:
logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time}s")
logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time:.3f}s")
except Exception as e:
logger.error(f"[UniLab Register] 设备注册异常: {e}")
# 注册资源
if resources_to_register:
try:
start_time = time.time()
response = http_client.resource_registry({"resources": list(resources_to_register.values())})
response = http_client.resource_registry(
{"resources": list(resources_to_register.values())},
tag="resource_registry",
)
cost_time = time.time() - start_time
if response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time}s")
res_data = response.json() if response.status_code == 200 else {}
skipped = res_data.get("data", {}).get("skipped", False)
if skipped:
logger.info(
f"[UniLab Register] 资源注册跳过(内容未变化)"
f" {len(resources_to_register)}{cost_time:.3f}s"
)
elif response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time:.3f}s")
else:
logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time}s")
logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time:.3f}s")
except Exception as e:
logger.error(f"[UniLab Register] 资源注册异常: {e}")
logger.info("[UniLab Register] 设备和资源注册完成.")

View File

@@ -1052,7 +1052,7 @@ async def handle_file_import(websocket: WebSocket, request_data: dict):
"result": {},
"schema": lab_registry._generate_unilab_json_command_schema(v["args"], k),
"goal_default": {i["name"]: i["default"] for i in v["args"]},
"handles": [],
"handles": {},
}
# 不生成已配置action的动作
for k, v in enhanced_info["action_methods"].items()
@@ -1340,5 +1340,5 @@ def setup_api_routes(app):
# 启动广播任务
@app.on_event("startup")
async def startup_event():
asyncio.create_task(broadcast_device_status())
asyncio.create_task(broadcast_status_page_data())
asyncio.create_task(broadcast_device_status(), name="web-api-startup-device")
asyncio.create_task(broadcast_status_page_data(), name="web-api-startup-status")

View File

@@ -8,6 +8,25 @@ import json
import os
from typing import List, Dict, Any, Optional
try:
import orjson as _json_fast
def _fast_dumps(obj, **kwargs) -> bytes:
return _json_fast.dumps(obj, option=_json_fast.OPT_NON_STR_KEYS, default=str)
def _fast_dumps_pretty(obj, **kwargs) -> bytes:
return _json_fast.dumps(
obj, option=_json_fast.OPT_NON_STR_KEYS | _json_fast.OPT_INDENT_2, default=str,
)
except ImportError:
_json_fast = None # type: ignore[assignment]
def _fast_dumps(obj, **kwargs) -> bytes:
return json.dumps(obj, ensure_ascii=False, default=str).encode("utf-8")
def _fast_dumps_pretty(obj, **kwargs) -> bytes:
return json.dumps(obj, indent=2, ensure_ascii=False, default=str).encode("utf-8")
import requests
from unilabos.resources.resource_tracker import ResourceTreeSet
from unilabos.utils.log import info
@@ -280,29 +299,54 @@ class HTTPClient:
)
return response
def resource_registry(self, registry_data: Dict[str, Any] | List[Dict[str, Any]]) -> requests.Response:
def resource_registry(
self, registry_data: Dict[str, Any] | List[Dict[str, Any]], tag: str = "registry",
) -> requests.Response:
"""
注册资源到服务器
注册资源到服务器,同步保存请求/响应到 unilabos_data
Args:
registry_data: 注册表数据,格式为 {resource_id: resource_info} / [{resource_info}]
tag: 保存文件的标签后缀 (如 "device_registry" / "resource_registry")
Returns:
Response: API响应对象
"""
compressed_body = gzip.compress(
json.dumps(registry_data, ensure_ascii=False, default=str).encode("utf-8")
)
# 序列化一次,同时用于保存和发送
json_bytes = _fast_dumps(registry_data)
# 保存请求数据到 unilabos_data
req_path = os.path.join(BasicConfig.working_dir, f"req_{tag}_upload.json")
try:
os.makedirs(BasicConfig.working_dir, exist_ok=True)
with open(req_path, "wb") as f:
f.write(_fast_dumps_pretty(registry_data))
logger.trace(f"注册表请求数据已保存: {req_path}")
except Exception as e:
logger.warning(f"保存注册表请求数据失败: {e}")
compressed_body = gzip.compress(json_bytes)
headers = {
"Authorization": f"Lab {self.auth}",
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = requests.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers={
"Authorization": f"Lab {self.auth}",
"Content-Type": "application/json",
"Content-Encoding": "gzip",
},
headers=headers,
timeout=30,
)
# 保存响应数据到 unilabos_data
res_path = os.path.join(BasicConfig.working_dir, f"res_{tag}_upload.json")
try:
with open(res_path, "w", encoding="utf-8") as f:
f.write(f"{response.status_code}\n{response.text}")
logger.trace(f"注册表响应数据已保存: {res_path}")
except Exception as e:
logger.warning(f"保存注册表响应数据失败: {e}")
if response.status_code not in [200, 201]:
logger.error(f"注册资源失败: {response.status_code}, {response.text}")
if response.status_code == 200:

View File

@@ -86,7 +86,7 @@ def setup_server() -> FastAPI:
# 设置页面路由
try:
setup_web_pages(pages)
info("[Web] 已加载Web UI模块")
# info("[Web] 已加载Web UI模块")
except ImportError as e:
info(f"[Web] 未找到Web页面模块: {str(e)}")
except Exception as e:
@@ -138,7 +138,7 @@ def start_server(host: str = "0.0.0.0", port: int = 8002, open_browser: bool = T
server_thread = threading.Thread(target=server.run, daemon=True, name="uvicorn_server")
server_thread.start()
info("[Web] Server started, monitoring for restart requests...")
# info("[Web] Server started, monitoring for restart requests...")
# 监控重启标志
import unilabos.app.main as main_module

View File

@@ -26,6 +26,7 @@ from enum import Enum
from typing_extensions import TypedDict
from unilabos.app.model import JobAddReq
from unilabos.resources.resource_tracker import ResourceDictType
from unilabos.ros.nodes.presets.host_node import HostNode
from unilabos.utils.type_check import serialize_result_info
from unilabos.app.communication import BaseCommunicationClient
@@ -408,6 +409,7 @@ class MessageProcessor:
# 线程控制
self.is_running = False
self.thread = None
self._loop = None # asyncio event loop引用用于外部关闭websocket
self.reconnect_count = 0
logger.info(f"[MessageProcessor] Initialized for URL: {websocket_url}")
@@ -434,22 +436,31 @@ class MessageProcessor:
def stop(self) -> None:
"""停止消息处理线程"""
self.is_running = False
# 主动关闭websocket以快速中断消息接收循环
ws = self.websocket
loop = self._loop
if ws and loop and loop.is_running():
try:
asyncio.run_coroutine_threadsafe(ws.close(), loop)
except Exception:
pass
if self.thread and self.thread.is_alive():
self.thread.join(timeout=2)
logger.info("[MessageProcessor] Stopped")
def _run(self):
"""运行消息处理主循环"""
loop = asyncio.new_event_loop()
self._loop = asyncio.new_event_loop()
try:
asyncio.set_event_loop(loop)
loop.run_until_complete(self._connection_handler())
asyncio.set_event_loop(self._loop)
self._loop.run_until_complete(self._connection_handler())
except Exception as e:
logger.error(f"[MessageProcessor] Thread error: {str(e)}")
logger.error(traceback.format_exc())
finally:
if loop:
loop.close()
if self._loop:
self._loop.close()
self._loop = None
async def _connection_handler(self):
"""处理WebSocket连接和重连逻辑"""
@@ -469,6 +480,7 @@ class MessageProcessor:
open_timeout=20,
ping_interval=WSConfig.ping_interval,
ping_timeout=10,
close_timeout=5,
additional_headers={
"Authorization": f"Lab {BasicConfig.auth_secret()}",
"EdgeSession": f"{self.session_id}",
@@ -479,42 +491,45 @@ class MessageProcessor:
self.connected = True
self.reconnect_count = 0
logger.trace(f"[MessageProcessor] Connected to {self.websocket_url}")
logger.info(f"[MessageProcessor] 已连接到 {self.websocket_url}")
# 启动发送协程
send_task = asyncio.create_task(self._send_handler())
send_task = asyncio.create_task(self._send_handler(), name="websocket-send_task")
# 每次连接(含重连)后重新向服务端注册,
# 否则服务端不知道客户端已上线,不会推送消息。
if self.websocket_client:
self.websocket_client.publish_host_ready()
try:
# 接收消息循环
await self._message_handler()
finally:
# 必须在 async with __aexit__ 之前停止 send_task
# 否则 send_task 会在关闭握手期间继续发送数据,
# 干扰 websockets 库的内部清理,导致 task 泄漏。
self.connected = False
send_task.cancel()
try:
await send_task
except asyncio.CancelledError:
pass
self.connected = False
except websockets.exceptions.ConnectionClosed:
logger.warning("[MessageProcessor] Connection closed")
self.connected = False
logger.warning("[MessageProcessor] 与服务端连接中断")
except TimeoutError:
logger.warning(
f"[MessageProcessor] Connection timeout (attempt {self.reconnect_count + 1}), "
f"server may be temporarily unavailable"
f"[MessageProcessor] 与服务端连接通信超时 (已尝试 {self.reconnect_count + 1} 次),请检查您的网络状况"
)
self.connected = False
except websockets.exceptions.InvalidStatus as e:
logger.warning(
f"[MessageProcessor] Server returned unexpected HTTP status {e.response.status_code}, "
f"WebSocket endpoint may not be ready yet"
f"[MessageProcessor] 收到服务端注册码 {e.response.status_code}, 上一进程可能还未退出"
)
self.connected = False
except Exception as e:
logger.error(f"[MessageProcessor] Connection error: {str(e)}")
logger.error(traceback.format_exc())
self.connected = False
logger.error(f"[MessageProcessor] 尝试重连时出错 {str(e)}")
finally:
self.connected = False
self.websocket = None
# 重连逻辑
@@ -522,10 +537,9 @@ class MessageProcessor:
break
if self.reconnect_count < WSConfig.max_reconnect_attempts:
self.reconnect_count += 1
backoff = min(WSConfig.reconnect_interval * (2 ** (self.reconnect_count - 1)), 60)
backoff = WSConfig.reconnect_interval
logger.info(
f"[MessageProcessor] Reconnecting in {backoff}s "
f"(attempt {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
f"[MessageProcessor] 即将在 {backoff} 秒后重连 (已尝试 {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
)
await asyncio.sleep(backoff)
else:
@@ -533,40 +547,38 @@ class MessageProcessor:
break
async def _message_handler(self):
"""处理接收到的消息"""
"""处理接收到的消息
ConnectionClosed 不在此处捕获,让其向上传播到 _connection_handler
以便 async with websockets.connect() 的 __aexit__ 能感知连接已断,
正确清理内部 task避免 task 泄漏。
"""
if not self.websocket:
logger.error("[MessageProcessor] WebSocket connection is None")
return
try:
async for message in self.websocket:
try:
data = json.loads(message)
message_type = data.get("action", "")
message_data = data.get("data")
if self.session_id and self.session_id == data.get("edge_session"):
await self._process_message(message_type, message_data)
async for message in self.websocket:
try:
data = json.loads(message)
message_type = data.get("action", "")
message_data = data.get("data")
if self.session_id and self.session_id == data.get("edge_session"):
await self._process_message(message_type, message_data)
else:
if message_type.endswith("_material"):
logger.trace(
f"[MessageProcessor] 收到一条归属 {data.get('edge_session')} 的旧消息:{data}"
)
logger.debug(
f"[MessageProcessor] 跳过了一条归属 {data.get('edge_session')} 的旧消息: {data.get('action')}"
)
else:
if message_type.endswith("_material"):
logger.trace(
f"[MessageProcessor] 收到一条归属 {data.get('edge_session')} 的旧消息:{data}"
)
logger.debug(
f"[MessageProcessor] 跳过了一条归属 {data.get('edge_session')} 的旧消息: {data.get('action')}"
)
else:
await self._process_message(message_type, message_data)
except json.JSONDecodeError:
logger.error(f"[MessageProcessor] Invalid JSON received: {message}")
except Exception as e:
logger.error(f"[MessageProcessor] Error processing message: {str(e)}")
logger.error(traceback.format_exc())
except websockets.exceptions.ConnectionClosed:
logger.info("[MessageProcessor] Message handler stopped - connection closed")
except Exception as e:
logger.error(f"[MessageProcessor] Message handler error: {str(e)}")
logger.error(traceback.format_exc())
await self._process_message(message_type, message_data)
except json.JSONDecodeError:
logger.error(f"[MessageProcessor] Invalid JSON received: {message}")
except Exception as e:
logger.error(f"[MessageProcessor] Error processing message: {str(e)}")
logger.error(traceback.format_exc())
async def _send_handler(self):
"""处理发送队列中的消息"""
@@ -615,6 +627,7 @@ class MessageProcessor:
except asyncio.CancelledError:
logger.debug("[MessageProcessor] Send handler cancelled")
raise
except Exception as e:
logger.error(f"[MessageProcessor] Fatal error in send handler: {str(e)}")
logger.error(traceback.format_exc())
@@ -646,6 +659,10 @@ class MessageProcessor:
# elif message_type == "session_id":
# self.session_id = message_data.get("session_id")
# logger.info(f"[MessageProcessor] Session ID: {self.session_id}")
elif message_type == "add_device":
await self._handle_device_manage(message_data, "add")
elif message_type == "remove_device":
await self._handle_device_manage(message_data, "remove")
elif message_type == "request_restart":
await self._handle_request_restart(message_data)
else:
@@ -982,6 +999,37 @@ class MessageProcessor:
)
thread.start()
async def _handle_device_manage(self, device_list: list[ResourceDictType], action: str):
"""Handle add_device / remove_device from LabGo server."""
if not device_list:
return
for item in device_list:
target_node_id = item.get("target_node_id", "host_node")
def _notify(target_id: str, act: str, cfg: ResourceDictType):
try:
host_node = HostNode.get_instance(timeout=5)
if not host_node:
logger.error(f"[DeviceManage] HostNode not available for {act}_device")
return
success = host_node.notify_device_manage(target_id, act, cfg)
if success:
logger.info(f"[DeviceManage] {act}_device completed on {target_id}")
else:
logger.warning(f"[DeviceManage] {act}_device failed on {target_id}")
except Exception as e:
logger.error(f"[DeviceManage] Error in {act}_device: {e}")
logger.error(traceback.format_exc())
thread = threading.Thread(
target=_notify,
args=(target_node_id, action, item),
daemon=True,
name=f"DeviceManage-{action}-{item.get('id', '')}",
)
thread.start()
async def _handle_request_restart(self, data: Dict[str, Any]):
"""
处理重启请求
@@ -993,10 +1041,9 @@ class MessageProcessor:
logger.info(f"[MessageProcessor] Received restart request, reason: {reason}, delay: {delay}s")
# 发送确认消息
if self.websocket_client:
await self.websocket_client.send_message(
{"action": "restart_acknowledged", "data": {"reason": reason, "delay": delay}}
)
self.send_message(
{"action": "restart_acknowledged", "data": {"reason": reason, "delay": delay}}
)
# 设置全局重启标志
import unilabos.app.main as main_module
@@ -1098,6 +1145,7 @@ class QueueProcessor:
def stop(self) -> None:
"""停止队列处理线程"""
self.is_running = False
self.queue_update_event.set() # 立即唤醒等待中的线程
if self.thread and self.thread.is_alive():
self.thread.join(timeout=2)
logger.info("[QueueProcessor] Stopped")
@@ -1351,8 +1399,8 @@ class WebSocketClient(BaseCommunicationClient):
message = {"action": "normal_exit", "data": {"session_id": session_id}}
self.message_processor.send_message(message)
logger.info(f"[WebSocketClient] Sent normal_exit message with session_id: {session_id}")
# 给一点时间让消息发送出去
time.sleep(1)
# send_handler 每100ms检查一次队列等300ms足以让消息发
time.sleep(0.3)
except Exception as e:
logger.warning(f"[WebSocketClient] Failed to send normal_exit message: {str(e)}")

View File

@@ -24,6 +24,7 @@ class BasicConfig:
port = 8002 # 本地HTTP服务
check_mode = False # CI 检查模式,用于验证 registry 导入和文件一致性
test_mode = False # 测试模式,所有动作不实际执行,返回模拟结果
extra_resource = False # 是否加载lab_开头的额外资源
# 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
log_level: Literal["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
@@ -40,7 +41,7 @@ class BasicConfig:
class WSConfig:
reconnect_interval = 5 # 重连间隔(秒)
max_reconnect_attempts = 999 # 最大重连次数
ping_interval = 30 # ping间隔
ping_interval = 20 # ping间隔
# HTTP配置

View File

@@ -1,4 +1,3 @@
from abc import abstractmethod
from functools import wraps
import inspect

View File

@@ -57,18 +57,6 @@ class TransferLiquidReturn(TypedDict):
targets: List[List[ResourceDict]]
class SetLiquidReturn(TypedDict):
wells: list
volumes: list
class SetLiquidFromPlateReturn(TypedDict):
plate: list
wells: list
volumes: list
class LiquidHandlerMiddleware(LiquidHandler):
def __init__(
self, backend: LiquidHandlerBackend, deck: Deck, simulator: bool = False, channel_num: int = 8, **kwargs

View File

@@ -634,7 +634,7 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
def __init__(
self,
deck: Deck,
deck: PRCXI9300Deck,
host: str,
port: int,
timeout: float,
@@ -648,11 +648,11 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
is_9320=False,
):
tablets_info = []
count = 0
for child in deck.children:
for site_id in range(len(deck.sites)):
child = deck._get_site_resource(site_id)
# 如果放其他类型的物料,是不可以的
if hasattr(child, "_unilabos_state") and "Material" in child._unilabos_state:
number = int(child.name.replace("T", ""))
number = site_id + 1
tablets_info.append(
WorkTablets(
Number=number, Code=f"T{number}", Material=child._unilabos_state["Material"]

View File

@@ -1,376 +0,0 @@
# -*- coding: utf-8 -*-
"""
ZDT X42 Closed-Loop Stepper Motor Driver
RS485 Serial Communication via USB-Serial Converter
- Baudrate: 115200
"""
import serial
import time
import threading
import struct
import logging
from typing import Optional, Any
try:
from unilabos.device_comms.universal_driver import UniversalDriver
except ImportError:
class UniversalDriver:
def __init__(self, *args, **kwargs):
self.logger = logging.getLogger(self.__class__.__name__)
def execute_command_from_outer(self, command: Any): pass
from serial.rs485 import RS485Settings
class ZDTX42Driver(UniversalDriver):
"""
ZDT X42 闭环步进电机驱动器
支持功能:
- 速度模式运行
- 位置模式运行 (相对/绝对)
- 位置读取和清零
- 使能/禁用控制
通信协议:
- 帧格式: [设备ID] [功能码] [数据...] [校验位=0x6B]
- 响应长度根据功能码决定
"""
def __init__(
self,
port: str,
baudrate: int = 115200,
device_id: int = 1,
timeout: float = 0.5,
debug: bool = False
):
"""
初始化 ZDT X42 电机驱动
Args:
port: 串口设备路径
baudrate: 波特率 (默认 115200)
device_id: 设备地址 (1-255)
timeout: 通信超时时间(秒)
debug: 是否启用调试输出
"""
super().__init__()
self.id = device_id
self.debug = debug
self.lock = threading.RLock()
self.status = "idle" # 对应注册表中的 status (str)
self.position = 0 # 对应注册表中的 position (int)
try:
self.ser = serial.Serial(
port=port,
baudrate=baudrate,
timeout=timeout,
bytesize=serial.EIGHTBITS,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE
)
# 启用 RS485 模式
try:
self.ser.rs485_mode = RS485Settings(
rts_level_for_tx=True,
rts_level_for_rx=False
)
except Exception:
pass # RS485 模式是可选的
self.logger.info(
f"ZDT X42 Motor connected: {port} "
f"(Baud: {baudrate}, ID: {device_id})"
)
# 自动使能电机,确保初始状态可运动
self.enable(True)
# 启动背景轮询线程,确保 position 实时刷新
self._stop_event = threading.Event()
self._polling_thread = threading.Thread(
target=self._update_loop,
name=f"ZDTPolling_{port}",
daemon=True
)
self._polling_thread.start()
except Exception as e:
self.logger.error(f"Failed to open serial port {port}: {e}")
self.ser = None
def _update_loop(self):
"""背景循环读取电机位置"""
while not self._stop_event.is_set():
try:
self.get_position()
except Exception as e:
if self.debug:
self.logger.error(f"Polling error: {e}")
time.sleep(1.0) # 每1秒刷新一次位置数据
def _send(self, func_code: int, payload: list) -> bytes:
"""
发送指令并接收响应
Args:
func_code: 功能码
payload: 数据负载 (list of bytes)
Returns:
响应数据 (bytes)
"""
if not self.ser:
self.logger.error("Serial port not available")
return b""
with self.lock:
# 清空输入缓冲区
self.ser.reset_input_buffer()
# 构建消息: [ID] [功能码] [数据...] [校验位=0x6B]
message = bytes([self.id, func_code] + payload + [0x6B])
# 发送
self.ser.write(message)
# 根据功能码决定响应长度
# 查询类指令返回 10 字节,控制类指令返回 4 字节
read_len = 10 if func_code in [0x31, 0x32, 0x35, 0x24, 0x27] else 4
response = self.ser.read(read_len)
# 调试输出
if self.debug:
sent_hex = message.hex().upper()
recv_hex = response.hex().upper() if response else 'TIMEOUT'
print(f"[ID {self.id}] TX: {sent_hex} → RX: {recv_hex}")
return response
def enable(self, on: bool = True) -> bool:
"""
使能/禁用电机
Args:
on: True=使能(锁轴), False=禁用(松轴)
Returns:
是否成功
"""
state = 1 if on else 0
resp = self._send(0xF3, [0xAB, state, 0])
return len(resp) >= 4
def move_speed(
self,
speed_rpm: int,
direction: str = "CW",
acceleration: int = 10
) -> bool:
"""
速度模式运行
Args:
speed_rpm: 转速 (RPM)
direction: 方向 ("CW"=顺时针, "CCW"=逆时针)
acceleration: 加速度 (0-255)
Returns:
是否成功
"""
dir_val = 0 if direction.upper() in ["CW", "顺时针"] else 1
speed_bytes = struct.pack('>H', int(speed_rpm))
self.status = f"moving@{speed_rpm}rpm"
resp = self._send(0xF6, [dir_val, speed_bytes[0], speed_bytes[1], acceleration, 0])
return len(resp) >= 4
def move_position(
self,
pulses: int,
speed_rpm: int,
direction: str = "CW",
acceleration: int = 10,
absolute: bool = False
) -> bool:
"""
位置模式运行
Args:
pulses: 脉冲数
speed_rpm: 转速 (RPM)
direction: 方向 ("CW"=顺时针, "CCW"=逆时针)
acceleration: 加速度 (0-255)
absolute: True=绝对位置, False=相对位置
Returns:
是否成功
"""
dir_val = 0 if direction.upper() in ["CW", "顺时针"] else 1
speed_bytes = struct.pack('>H', int(speed_rpm))
self.status = f"moving_to_{pulses}"
pulse_bytes = struct.pack('>I', int(pulses))
abs_flag = 1 if absolute else 0
payload = [
dir_val,
speed_bytes[0], speed_bytes[1],
acceleration,
pulse_bytes[0], pulse_bytes[1], pulse_bytes[2], pulse_bytes[3],
abs_flag,
0
]
resp = self._send(0xFD, payload)
return len(resp) >= 4
def stop(self) -> bool:
"""
停止电机
Returns:
是否成功
"""
self.status = "idle"
resp = self._send(0xFE, [0x98, 0])
return len(resp) >= 4
def rotate_quarter(self, speed_rpm: int = 60, direction: str = "CW") -> bool:
"""
电机旋转 1/4 圈 (阻塞式)
假设电机细分为 3200 脉冲/圈1/4 圈 = 800 脉冲
"""
pulses = 800
success = self.move_position(pulses=pulses, speed_rpm=speed_rpm, direction=direction, absolute=False)
if success:
# 计算预估旋转时间并进行阻塞等待 (Time = revolutions / (RPM/60))
# 1/4 rev / (RPM/60) = 15.0 / RPM
estimated_time = 15.0 / max(1, speed_rpm)
time.sleep(estimated_time + 0.5) # 额外给 0.5 秒缓冲
self.status = "idle"
return success
def wait_time(self, duration_s: float) -> bool:
"""
等待指定时间 (秒)
"""
self.logger.info(f"Waiting for {duration_s} seconds...")
time.sleep(duration_s)
return True
def set_zero(self) -> bool:
"""
清零当前位置
Returns:
是否成功
"""
resp = self._send(0x0A, [])
return len(resp) >= 4
def get_position(self) -> Optional[int]:
"""
读取当前位置 (脉冲数)
Returns:
当前位置脉冲数,失败返回 None
"""
resp = self._send(0x32, [])
if len(resp) >= 8:
# 响应格式: [ID] [Func] [符号位] [数值4字节] [校验]
sign = resp[2] # 0=正, 1=负
value = struct.unpack('>I', resp[3:7])[0]
self.position = -value if sign == 1 else value
if self.debug:
print(f"[Position] Raw: {resp.hex().upper()}, Parsed: {self.position}")
return self.position
self.logger.warning("Failed to read position")
return None
def close(self):
"""关闭串口连接并停止线程"""
if hasattr(self, '_stop_event'):
self._stop_event.set()
if self.ser and self.ser.is_open:
self.ser.close()
self.logger.info("Serial port closed")
# ============================================================
# 测试和调试代码
# ============================================================
def test_motor():
"""基础功能测试"""
logging.basicConfig(level=logging.INFO)
print("="*60)
print("ZDT X42 电机驱动测试")
print("="*60)
driver = ZDTX42Driver(
port="/dev/tty.usbserial-3110",
baudrate=115200,
device_id=2,
debug=True
)
if not driver.ser:
print("❌ 串口打开失败")
return
try:
# 测试 1: 读取位置
print("\n[1] 读取当前位置")
pos = driver.get_position()
print(f"✓ 当前位置: {pos} 脉冲")
# 测试 2: 使能
print("\n[2] 使能电机")
driver.enable(True)
time.sleep(0.3)
print("✓ 电机已锁定")
# 测试 3: 相对位置运动
print("\n[3] 相对位置运动 (1000脉冲)")
driver.move_position(pulses=1000, speed_rpm=60, direction="CW")
time.sleep(2)
pos = driver.get_position()
print(f"✓ 新位置: {pos}")
# 测试 4: 速度运动
print("\n[4] 速度模式 (30RPM, 3秒)")
driver.move_speed(speed_rpm=30, direction="CW")
time.sleep(3)
driver.stop()
pos = driver.get_position()
print(f"✓ 停止后位置: {pos}")
# 测试 5: 禁用
print("\n[5] 禁用电机")
driver.enable(False)
print("✓ 电机已松开")
print("\n" + "="*60)
print("✅ 测试完成")
print("="*60)
except Exception as e:
print(f"\n❌ 测试失败: {e}")
import traceback
traceback.print_exc()
finally:
driver.close()
if __name__ == "__main__":
test_motor()

View File

@@ -623,119 +623,6 @@ class ChinweDevice(UniversalDriver):
time.sleep(duration)
return True
def separation_step(self, motor_id: int = 5, speed: int = 60, pulses: int = 700,
max_cycles: int = 0, timeout: int = 300) -> bool:
"""
分液步骤 - 液位传感器与电机联动
当液位传感器检测到"有液"时,电机顺时针旋转指定脉冲数
当液位传感器检测到"无液"时,电机逆时针旋转指定脉冲数
:param motor_id: 电机ID (必须在初始化时配置的motor_ids中)
:param speed: 电机转速 (RPM)
:param pulses: 每次旋转的脉冲数 (默认700约为1/4圈,假设3200脉冲/圈)
:param max_cycles: 最大执行循环次数 (0=无限制,默认0)
:param timeout: 整体超时时间 (秒)
:return: 成功返回True,超时或失败返回False
"""
motor_id = int(motor_id)
speed = int(speed)
pulses = int(pulses)
max_cycles = int(max_cycles)
timeout = int(timeout)
# 检查电机是否存在
if motor_id not in self.motors:
self.logger.error(f"Motor {motor_id} not found in configured motors: {list(self.motors.keys())}")
return False
# 检查传感器是否可用
if not self.sensor:
self.logger.error("Sensor not initialized")
return False
motor = self.motors[motor_id]
# 停止轮询线程,避免与 separation_step 同时读取传感器造成串口冲突
self.logger.info("Stopping polling thread for separation_step...")
self._stop_event.set()
if self._poll_thread and self._poll_thread.is_alive():
self._poll_thread.join(timeout=2.0)
# 使能电机
self.logger.info(f"Enabling motor {motor_id}...")
motor.enable(True)
time.sleep(0.2)
self.logger.info(f"Starting separation step: motor_id={motor_id}, speed={speed} RPM, "
f"pulses={pulses}, max_cycles={max_cycles}, timeout={timeout}s")
# 记录上一次的液位状态
last_level = None
cycle_count = 0
start_time = time.time()
error_count = 0
try:
while True:
# 检查超时
if time.time() - start_time > timeout:
self.logger.warning(f"Separation step timeout after {timeout} seconds")
return False
# 检查循环次数限制
if max_cycles > 0 and cycle_count >= max_cycles:
self.logger.info(f"Separation step completed: reached max_cycles={max_cycles}")
return True
# 读取传感器数据
data = self.sensor.read_level()
if data is None:
error_count += 1
if error_count > 5:
self.logger.warning("Sensor read failed multiple times, retrying...")
error_count = 0
time.sleep(0.5)
continue
error_count = 0
current_level = data['level']
rssi = data['rssi']
# 检测状态变化 (包括首次检测)
if current_level != last_level:
cycle_count += 1
if current_level:
# 有液 -> 电机顺时针旋转
self.logger.info(f"[Cycle {cycle_count}] Liquid detected (RSSI={rssi}), "
f"rotating motor {motor_id} clockwise {pulses} pulses")
motor.run_position(pulses=pulses, speed_rpm=speed, direction=0, absolute=False)
# 等待电机完成 (预估时间)
estimated_time = 15.0 / max(1, speed)
time.sleep(estimated_time + 0.5)
else:
# 无液 -> 电机逆时针旋转
self.logger.info(f"[Cycle {cycle_count}] No liquid detected (RSSI={rssi}), "
f"rotating motor {motor_id} counter-clockwise {pulses} pulses")
motor.run_position(pulses=pulses, speed_rpm=speed, direction=1, absolute=False)
# 等待电机完成 (预估时间)
estimated_time = 15.0 / max(1, speed)
time.sleep(estimated_time + 0.5)
# 更新状态
last_level = current_level
# 轮询间隔
time.sleep(0.1)
finally:
# 恢复轮询线程
self.logger.info("Restarting polling thread...")
self._start_polling()
def execute_command_from_outer(self, command_dict: Dict[str, Any]) -> bool:
"""支持标准 JSON 指令调用"""
return super().execute_command_from_outer(command_dict)

View File

@@ -1,379 +0,0 @@
# -*- coding: utf-8 -*-
"""
XKC RS485 液位传感器 (Modbus RTU)
说明:
1. 遵循 Modbus-RTU 协议。
2. 数据寄存器: 0x0001 (液位状态, 1=有液, 0=无液), 0x0002 (RSSI 信号强度)。
3. 地址寄存器: 0x0004 (可读写, 范围 1-254)。
4. 波特率寄存器: 0x0005 (可写, 代码表见 change_baudrate 方法)。
"""
import struct
import threading
import time
import logging
import serial
from typing import Optional, Dict, Any, List
from unilabos.device_comms.universal_driver import UniversalDriver
class TransportManager:
"""
统一通信管理类。
仅支持 串口 (Serial/有线) 连接。
"""
def __init__(self, port: str, baudrate: int = 9600, timeout: float = 3.0, logger=None):
self.port = port
self.baudrate = baudrate
self.timeout = timeout
self.logger = logger
self.lock = threading.RLock() # 线程锁,确保多设备共用一个连接时不冲突
self.serial = None
self._connect_serial()
def _connect_serial(self):
try:
self.serial = serial.Serial(
port=self.port,
baudrate=self.baudrate,
timeout=self.timeout
)
except Exception as e:
raise ConnectionError(f"Serial open failed: {e}")
def close(self):
"""关闭连接"""
if self.serial and self.serial.is_open:
self.serial.close()
def clear_buffer(self):
"""清空缓冲区 (Thread-safe)"""
with self.lock:
if self.serial:
self.serial.reset_input_buffer()
def write(self, data: bytes):
"""发送原始字节"""
with self.lock:
if self.serial:
self.serial.write(data)
def read(self, size: int) -> bytes:
"""读取指定长度字节"""
if self.serial:
return self.serial.read(size)
return b''
class XKCSensorDriver(UniversalDriver):
"""XKC RS485 液位传感器 (Modbus RTU)"""
def __init__(self, port: str, baudrate: int = 9600, device_id: int = 6,
threshold: int = 300, timeout: float = 3.0, debug: bool = False):
super().__init__()
self.port = port
self.baudrate = baudrate
self.device_id = device_id
self.threshold = threshold
self.timeout = timeout
self.debug = debug
self.level = False
self.rssi = 0
self.status = {"level": self.level, "rssi": self.rssi}
try:
self.transport = TransportManager(port, baudrate, timeout, logger=self.logger)
self.logger.info(f"XKCSensorDriver connected to {port} (ID: {device_id})")
except Exception as e:
self.logger.error(f"Failed to connect XKCSensorDriver: {e}")
self.transport = None
# 启动背景轮询线程,确保 status 实时刷新
self._stop_event = threading.Event()
self._polling_thread = threading.Thread(
target=self._update_loop,
name=f"XKCPolling_{port}",
daemon=True
)
if self.transport:
self._polling_thread.start()
def _update_loop(self):
"""背景循环读取传感器数据"""
while not self._stop_event.is_set():
try:
self.read_level()
except Exception as e:
if self.debug:
self.logger.error(f"Polling error: {e}")
time.sleep(2.0) # 每2秒刷新一次数据
def _crc(self, data: bytes) -> bytes:
crc = 0xFFFF
for byte in data:
crc ^= byte
for _ in range(8):
if crc & 0x0001: crc = (crc >> 1) ^ 0xA001
else: crc >>= 1
return struct.pack('<H', crc)
def read_level(self) -> Optional[Dict[str, Any]]:
"""
读取液位。
返回: {'level': bool, 'rssi': int}
"""
if not self.transport:
return None
with self.transport.lock:
self.transport.clear_buffer()
# Modbus Read Registers: 01 03 00 01 00 02 CRC
payload = struct.pack('>HH', 0x0001, 0x0002)
msg = struct.pack('BB', self.device_id, 0x03) + payload
msg += self._crc(msg)
if self.debug:
self.logger.info(f"TX (ID {self.device_id}): {msg.hex().upper()}")
self.transport.write(msg)
# Read header
h = self.transport.read(3) # Addr, Func, Len
if self.debug:
self.logger.info(f"RX Header: {h.hex().upper()}")
if len(h) < 3: return None
length = h[2]
# Read body + CRC
body = self.transport.read(length + 2)
if self.debug:
self.logger.info(f"RX Body+CRC: {body.hex().upper()}")
if len(body) < length + 2:
# Firmware bug fix specific to some modules
if len(body) == 4 and length == 4:
pass
else:
return None
data = body[:-2]
# 根据手册说明:
# 寄存器 0x0001 (data[0:2]): 液位状态 (00 01 为有液, 00 00 为无液)
# 寄存器 0x0002 (data[2:4]): 信号强度 RSSI
hw_level = False
rssi = 0
if len(data) >= 4:
hw_level = ((data[0] << 8) | data[1]) == 1
rssi = (data[2] << 8) | data[3]
elif len(data) == 2:
# 兼容模式: 某些老固件可能只返回 1 个寄存器
rssi = (data[0] << 8) | data[1]
hw_level = rssi > self.threshold
else:
return None
# 最终判定: 优先使用硬件层级的 level 判定,但 RSSI 阈值逻辑作为补充/校验
# 注意: 如果用户显式设置了 THRESHOLD我们可以在逻辑中做权衡
self.level = hw_level or (rssi > self.threshold)
self.rssi = rssi
result = {
'level': self.level,
'rssi': self.rssi
}
self.status = result
return result
def wait_level(self, target_state: bool, timeout: float = 60.0) -> bool:
"""
等待液位达到目标状态 (阻塞式)
"""
self.logger.info(f"Waiting for level: {target_state}")
start_time = time.time()
while (time.time() - start_time) < timeout:
res = self.read_level()
if res and res.get('level') == target_state:
return True
time.sleep(0.5)
self.logger.warning(f"Wait level timeout ({timeout}s)")
return False
def wait_for_liquid(self, target_state: bool, timeout: float = 120.0) -> bool:
"""
实时检测电导率(RSSI)并等待用户指定的“有液”或“无液”状态。
一旦检测到符合目标状态,立即返回。
Args:
target_state: True 为“有液”, False 为“无液”
timeout: 最大等待时间(秒)
"""
state_str = "有液" if target_state else "无液"
self.logger.info(f"开始实时检测电导率,等待状态: {state_str} (超时: {timeout}s)")
start_time = time.time()
while (time.time() - start_time) < timeout:
res = self.read_level() # 内部已更新 self.level 和 self.rssi
if res:
current_level = res.get('level')
current_rssi = res.get('rssi')
if current_level == target_state:
self.logger.info(f"✅ 检测到目标状态: {state_str} (当前电导率/RSSI: {current_rssi})")
return True
if self.debug:
self.logger.debug(f"当前状态: {'有液' if current_level else '无液'}, RSSI: {current_rssi}")
time.sleep(0.2) # 高频采样
self.logger.warning(f"❌ 等待 {state_str} 状态超时 ({timeout}s)")
return False
def set_threshold(self, threshold: int):
"""设置液位判定阈值"""
self.threshold = int(threshold)
self.logger.info(f"Threshold updated to: {self.threshold}")
def change_device_id(self, new_id: int) -> bool:
"""
修改设备的 Modbus 从站地址。
寄存器: 0x0004, 功能码: 0x06
"""
if not (1 <= new_id <= 254):
self.logger.error(f"Invalid device ID: {new_id}. Must be 1-254.")
return False
self.logger.info(f"Changing device ID from {self.device_id} to {new_id}")
success = self._write_single_register(0x0004, new_id)
if success:
self.device_id = new_id # 更新内存中的地址
self.logger.info(f"Device ID update command sent successfully (target {new_id}).")
return success
def change_baudrate(self, baud_code: int) -> bool:
"""
更改通讯波特率 (寄存器: 0x0005)。
设置成功后传感器 LED 会闪烁,通常无数据返回。
波特率代码对照表 (16进制):
05: 2400
06: 4800
07: 9600 (默认)
08: 14400
09: 19200
0A: 28800
0C: 57600
0D: 115200
0E: 128000
0F: 256000
"""
self.logger.info(f"Sending baudrate change command (Code: {baud_code:02X})")
# 写入寄存器 0x0005
self._write_single_register(0x0005, baud_code)
self.logger.info("Baudrate change command executed. Device LED should flash. Please update connection settings.")
return True
def factory_reset(self) -> bool:
"""
恢复出厂设置 (通过广播地址 FF)。
设置地址为 01逻辑为向 0x0004 写入 0x0002
"""
self.logger.info("Sending factory reset command via broadcast address FF...")
# 广播指令通常无回显
self._write_single_register(0x0004, 0x0002, slave_id=0xFF)
self.logger.info("Factory reset command sent. Device address should be 01 now.")
return True
def _write_single_register(self, reg_addr: int, value: int, slave_id: Optional[int] = None) -> bool:
"""内部辅助函数: Modbus 功能码 06 写单个寄存器"""
if not self.transport: return False
target_id = slave_id if slave_id is not None else self.device_id
msg = struct.pack('BBHH', target_id, 0x06, reg_addr, value)
msg += self._crc(msg)
with self.transport.lock:
self.transport.clear_buffer()
if self.debug:
self.logger.info(f"TX Write (Reg {reg_addr:#06x}): {msg.hex().upper()}")
self.transport.write(msg)
# 广播地址、波特率修改或厂家特定指令可能无回显
if target_id == 0xFF or reg_addr == 0x0005:
time.sleep(0.5)
return True
# 等待返回 (正常应返回相同报文)
resp = self.transport.read(len(msg))
if self.debug:
self.logger.info(f"RX Write Response: {resp.hex().upper()}")
return resp == msg
def close(self):
if self.transport:
self.transport.close()
if __name__ == "__main__":
# 快速实例化测试
import logging
# 减少冗余日志,仅显示重要信息
logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
# 硬件配置 (根据实际情况修改)
TEST_PORT = "/dev/tty.usbserial-3110"
SLAVE_ID = 1
THRESHOLD = 300
print("\n" + "="*50)
print(f" XKC RS485 传感器独立测试程序")
print(f" 端口: {TEST_PORT} | 地址: {SLAVE_ID} | 阈值: {THRESHOLD}")
print("="*50)
sensor = XKCSensorDriver(port=TEST_PORT, device_id=SLAVE_ID, threshold=THRESHOLD, debug=False)
try:
if sensor.transport:
print(f"\n开始实时连续采样测试 (持续 15 秒)...")
print(f"按 Ctrl+C 可提前停止\n")
start_time = time.time()
duration = 15
count = 0
while time.time() - start_time < duration:
count += 1
res = sensor.read_level()
if res:
rssi = res['rssi']
level = res['level']
status_str = "【有液】" if level else "【无液】"
# 使用 \r 实现单行刷新显示 (或者不刷,直接打印历史)
# 为了方便查看变化,我们直接打印
elapsed = time.time() - start_time
print(f" [{elapsed:4.1f}s] 采样 {count:<3}: 电导率/RSSI = {rssi:<5} | 判定结果: {status_str}")
else:
print(f" [{time.time()-start_time:4.1f}s] 采样 {count:<3}: 通信失败 (无响应)")
time.sleep(0.5) # 每秒采样 2 次
print(f"\n--- 15 秒采样测试完成 (总计 {count} 次) ---")
# [3] 测试动态修改阈值
print(f"\n[3] 动态修改阈值演示...")
new_threshold = 400
sensor.set_threshold(new_threshold)
res = sensor.read_level()
if res:
print(f" 采样 (当前阈值={new_threshold}): 电导率/RSSI = {res['rssi']:<5} | 判定结果: {'【有液】' if res['level'] else '【无液】'}")
sensor.set_threshold(THRESHOLD) # 还原
except KeyboardInterrupt:
print("\n[!] 用户中断测试")
except Exception as e:
print(f"\n[!] 测试运行出错: {e}")
finally:
sensor.close()
print("\n--- 测试程序已退出 ---\n")

View File

@@ -1,15 +1,15 @@
"""
Virtual Workbench Device - 模拟工作台设备
包含
包含:
- 1个机械臂 (每次操作3s, 独占锁)
- 3个加热台 (每次加热10s, 可并行)
工作流程
1. A1-A5 物料同时启动竞争机械臂
工作流程:
1. A1-A5 物料同时启动, 竞争机械臂
2. 机械臂将物料移动到空闲加热台
3. 加热完成后机械臂将物料移动到C1-C5
3. 加热完成后, 机械臂将物料移动到C1-C5
注意调用来自线程池使用 threading.Lock 进行同步
注意: 调用来自线程池, 使用 threading.Lock 进行同步
"""
import logging
@@ -21,9 +21,11 @@ from threading import Lock, RLock
from typing_extensions import TypedDict
from unilabos.registry.decorators import (
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
from unilabos.utils.decorator import not_action, always_free
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample, RETURN_UNILABOS_SAMPLES
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample
# ============ TypedDict 返回类型定义 ============
@@ -57,6 +59,8 @@ class MoveToOutputResult(TypedDict):
success: bool
station_id: int
material_id: str
output_position: str
message: str
unilabos_samples: List[LabSample]
@@ -81,9 +85,9 @@ class HeatingStationState(Enum):
"""加热台状态枚举"""
IDLE = "idle" # 空闲
OCCUPIED = "occupied" # 已放置物料等待加热
OCCUPIED = "occupied" # 已放置物料, 等待加热
HEATING = "heating" # 加热中
COMPLETED = "completed" # 加热完成等待取走
COMPLETED = "completed" # 加热完成, 等待取走
class ArmState(Enum):
@@ -105,19 +109,24 @@ class HeatingStation:
heating_progress: float = 0.0
@device(
id="virtual_workbench",
category=["virtual_device"],
description="Virtual Workbench with 1 robotic arm and 3 heating stations for concurrent material processing",
)
class VirtualWorkbench:
"""
Virtual Workbench Device - 虚拟工作台设备
模拟一个包含1个机械臂和3个加热台的工作站
- 机械臂操作耗时3秒同一时间只能执行一个操作
- 加热台加热耗时10秒3个加热台可并行工作
- 机械臂操作耗时3秒, 同一时间只能执行一个操作
- 加热台加热耗时10秒, 3个加热台可并行工作
工作流:
1. 物料A1-A5并发启动线程池竞争机械臂使用权
2. 获取机械臂后查找空闲加热台
3. 机械臂将物料放入加热台开始加热
4. 加热完成后机械臂将物料移动到目标位置Cn
1. 物料A1-A5并发启动(线程池), 竞争机械臂使用权
2. 获取机械臂后, 查找空闲加热台
3. 机械臂将物料放入加热台, 开始加热
4. 加热完成后, 机械臂将物料移动到目标位置Cn
"""
_ros_node: BaseROS2DeviceNode
@@ -145,19 +154,19 @@ class VirtualWorkbench:
self.HEATING_TIME = float(self.config.get("heating_time", self.HEATING_TIME))
self.NUM_HEATING_STATIONS = int(self.config.get("num_heating_stations", self.NUM_HEATING_STATIONS))
# 机械臂状态和锁 (使用threading.Lock)
# 机械臂状态和锁
self._arm_lock = Lock()
self._arm_state = ArmState.IDLE
self._arm_current_task: Optional[str] = None
# 加热台状态 (station_id -> HeatingStation) - 立即初始化不依赖initialize()
# 加热台状态
self._heating_stations: Dict[int, HeatingStation] = {
i: HeatingStation(station_id=i) for i in range(1, self.NUM_HEATING_STATIONS + 1)
}
self._stations_lock = RLock() # 可重入锁,保护加热台状态
self._stations_lock = RLock()
# 任务追踪
self._active_tasks: Dict[str, Dict[str, Any]] = {} # material_id -> task_info
self._active_tasks: Dict[str, Dict[str, Any]] = {}
self._tasks_lock = Lock()
# 处理其他kwargs参数
@@ -183,7 +192,6 @@ class VirtualWorkbench:
"""初始化虚拟工作台"""
self.logger.info(f"初始化虚拟工作台 {self.device_id}")
# 重置加热台状态 (已在__init__中创建这里重置为初始状态)
with self._stations_lock:
for station in self._heating_stations.values():
station.state = HeatingStationState.IDLE
@@ -191,7 +199,6 @@ class VirtualWorkbench:
station.material_number = None
station.heating_progress = 0.0
# 初始化状态
self.data.update(
{
"status": "Ready",
@@ -257,11 +264,7 @@ class VirtualWorkbench:
self.data["message"] = message
def _find_available_heating_station(self) -> Optional[int]:
"""查找空闲的加热台
Returns:
空闲加热台ID如果没有则返回None
"""
"""查找空闲的加热台"""
with self._stations_lock:
for station_id, station in self._heating_stations.items():
if station.state == HeatingStationState.IDLE:
@@ -269,23 +272,12 @@ class VirtualWorkbench:
return None
def _acquire_arm(self, task_description: str) -> bool:
"""获取机械臂使用权阻塞直到获取
Args:
task_description: 任务描述,用于日志
Returns:
是否成功获取
"""
"""获取机械臂使用权(阻塞直到获取)"""
self.logger.info(f"[{task_description}] 等待获取机械臂...")
# 阻塞等待获取锁
self._arm_lock.acquire()
self._arm_state = ArmState.BUSY
self._arm_current_task = task_description
self._update_data_status(f"机械臂执行: {task_description}")
self.logger.info(f"[{task_description}] 成功获取机械臂使用权")
return True
@@ -298,6 +290,22 @@ class VirtualWorkbench:
self._update_data_status(f"机械臂已释放 (完成: {task})")
self.logger.info(f"机械臂已释放 (完成: {task})")
@action(
auto_prefix=True,
description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",
handles=[
ActionOutputHandle(key="channel_1", data_type="workbench_material",
label="实验1", data_key="material_1", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_2", data_type="workbench_material",
label="实验2", data_key="material_2", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_3", data_type="workbench_material",
label="实验3", data_key="material_3", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_4", data_type="workbench_material",
label="实验4", data_key="material_4", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_5", data_type="workbench_material",
label="实验5", data_key="material_5", data_source=DataSource.EXECUTOR),
],
)
def prepare_materials(
self,
sample_uuids: SampleUUIDsType,
@@ -306,19 +314,14 @@ class VirtualWorkbench:
"""
批量准备物料 - 虚拟起始节点
作为工作流的起始节点生成指定数量的物料编号供后续节点使用。
输出5个handle (material_1 ~ material_5)分别对应实验1~5。
Args:
count: 待生成的物料数量默认5 (生成 A1-A5)
Returns:
PrepareMaterialsResult: 包含 material_1 ~ material_5 用于传递给 move_to_heating_station
作为工作流的起始节点, 生成指定数量的物料编号供后续节点使用。
输出5个handle (material_1 ~ material_5), 分别对应实验1~5。
"""
# 生成物料列表 A1 - A{count}
materials = [i for i in range(1, count + 1)]
self.logger.info(f"[准备物料] 生成 {count} 个物料: " f"A1-A{count} -> material_1~material_{count}")
self.logger.info(
f"[准备物料] 生成 {count} 个物料: A1-A{count} -> material_1~material_{count}"
)
return {
"success": True,
@@ -329,9 +332,28 @@ class VirtualWorkbench:
"material_4": materials[3] if len(materials) > 3 else 0,
"material_5": materials[4] if len(materials) > 4 else 0,
"message": f"已准备 {count} 个物料: A1-A{count}",
"unilabos_samples": [LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for sample_uuid, content in sample_uuids.items()]
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra={"material_uuid": content} if isinstance(content, str) else (content.serialize() if content else {}),
)
for sample_uuid, content in sample_uuids.items()
],
}
@action(
auto_prefix=True,
description="将物料从An位置移动到空闲加热台, 返回分配的加热台ID",
handles=[
ActionInputHandle(key="material_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
ActionOutputHandle(key="heating_station_output", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="material_number_output", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
],
)
def move_to_heating_station(
self,
sample_uuids: SampleUUIDsType,
@@ -340,20 +362,12 @@ class VirtualWorkbench:
"""
将物料从An位置移动到加热台
多线程并发调用时会竞争机械臂使用权并自动查找空闲加热台
Args:
material_number: 物料编号 (1-5)
Returns:
MoveToHeatingStationResult: 包含 station_id, material_number 等用于传递给下一个节点
多线程并发调用时, 会竞争机械臂使用权, 并自动查找空闲加热台
"""
# 根据物料编号生成物料ID
material_id = f"A{material_number}"
task_desc = f"移动{material_id}到加热台"
self.logger.info(f"[任务] {task_desc} - 开始执行")
# 记录任务
with self._tasks_lock:
self._active_tasks[material_id] = {
"status": "waiting_for_arm",
@@ -361,33 +375,27 @@ class VirtualWorkbench:
}
try:
# 步骤1: 等待获取机械臂使用权(竞争)
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "waiting_for_arm"
self._acquire_arm(task_desc)
# 步骤2: 查找空闲加热台
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "finding_station"
station_id = None
# 循环等待直到找到空闲加热台
while station_id is None:
station_id = self._find_available_heating_station()
if station_id is None:
self.logger.info(f"[{material_id}] 没有空闲加热台等待中...")
# 释放机械臂,等待后重试
self.logger.info(f"[{material_id}] 没有空闲加热台, 等待中...")
self._release_arm()
time.sleep(0.5)
self._acquire_arm(task_desc)
# 步骤3: 占用加热台 - 立即标记为OCCUPIED防止其他任务选择同一加热台
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.OCCUPIED
self._heating_stations[station_id].current_material = material_id
self._heating_stations[station_id].material_number = material_number
# 步骤4: 模拟机械臂移动操作 (3秒)
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "arm_moving"
self._active_tasks[material_id]["assigned_station"] = station_id
@@ -395,11 +403,11 @@ class VirtualWorkbench:
time.sleep(self.ARM_OPERATION_TIME)
# 步骤5: 放入加热台完成
self._update_data_status(f"{material_id}已放入加热台{station_id}")
self.logger.info(f"[{material_id}] 已放入加热台{station_id} (用时{self.ARM_OPERATION_TIME}s)")
self.logger.info(
f"[{material_id}] 已放入加热台{station_id} (用时{self.ARM_OPERATION_TIME}s)"
)
# 释放机械臂
self._release_arm()
with self._tasks_lock:
@@ -412,8 +420,16 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"{material_id}已成功移动到加热台{station_id}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
except Exception as e:
@@ -427,11 +443,33 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"移动失败: {str(e)}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
@always_free
@action(
auto_prefix=True,
always_free=True,
description="启动指定加热台的加热程序",
handles=[
ActionInputHandle(key="station_id_input", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
ActionInputHandle(key="material_number_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
ActionOutputHandle(key="heating_done_station", data_type="workbench_station",
label="加热完成-加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="heating_done_material", data_type="workbench_material",
label="加热完成-物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
],
)
def start_heating(
self,
sample_uuids: SampleUUIDsType,
@@ -440,13 +478,6 @@ class VirtualWorkbench:
) -> StartHeatingResult:
"""
启动指定加热台的加热程序
Args:
station_id: 加热台ID (1-3),从 move_to_heating_station 的 handle 传入
material_number: 物料编号,从 move_to_heating_station 的 handle 传入
Returns:
StartHeatingResult: 包含 station_id, material_number 等用于传递给下一个节点
"""
self.logger.info(f"[加热台{station_id}] 开始加热")
@@ -458,8 +489,16 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"无效的加热台ID: {station_id}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
with self._stations_lock:
@@ -473,8 +512,16 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"加热台{station_id}上没有物料",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
if station.state == HeatingStationState.HEATING:
@@ -485,13 +532,20 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"加热台{station_id}已经在加热中",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
material_id = station.current_material
# 开始加热
station.state = HeatingStationState.HEATING
station.heating_start_time = time.time()
station.heating_progress = 0.0
@@ -502,7 +556,6 @@ class VirtualWorkbench:
self._update_data_status(f"加热台{station_id}开始加热{material_id}")
# 打印当前所有正在加热的台位
with self._stations_lock:
heating_list = [
f"加热台{sid}:{s.current_material}"
@@ -511,7 +564,6 @@ class VirtualWorkbench:
]
self.logger.info(f"[并行加热] 当前同时加热中: {', '.join(heating_list)}")
# 模拟加热过程
start_time = time.time()
last_countdown_log = start_time
while True:
@@ -524,7 +576,6 @@ class VirtualWorkbench:
self._update_data_status(f"加热台{station_id}加热中: {progress:.1f}%")
# 每5秒打印一次倒计时
if time.time() - last_countdown_log >= 5.0:
self.logger.info(f"[加热台{station_id}] {material_id} 剩余 {remaining:.1f}s")
last_countdown_log = time.time()
@@ -534,7 +585,6 @@ class VirtualWorkbench:
time.sleep(1.0)
# 加热完成
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.COMPLETED
self._heating_stations[station_id].heating_progress = 100.0
@@ -553,10 +603,28 @@ class VirtualWorkbench:
"material_number": material_number,
"message": f"加热台{station_id}加热完成",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
@action(
auto_prefix=True,
description="将物料从加热台移动到输出位置Cn",
handles=[
ActionInputHandle(key="output_station_input", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
ActionInputHandle(key="output_material_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
],
)
def move_to_output(
self,
sample_uuids: SampleUUIDsType,
@@ -565,15 +633,8 @@ class VirtualWorkbench:
) -> MoveToOutputResult:
"""
将物料从加热台移动到输出位置Cn
Args:
station_id: 加热台ID (1-3),从 start_heating 的 handle 传入
material_number: 物料编号,从 start_heating 的 handle 传入,用于确定输出位置 Cn
Returns:
MoveToOutputResult: 包含执行结果
"""
output_number = material_number # 物料编号决定输出位置
output_number = material_number
if station_id not in self._heating_stations:
return {
@@ -583,8 +644,16 @@ class VirtualWorkbench:
"output_position": f"C{output_number}",
"message": f"无效的加热台ID: {station_id}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
with self._stations_lock:
@@ -599,8 +668,16 @@ class VirtualWorkbench:
"output_position": f"C{output_number}",
"message": f"加热台{station_id}上没有物料",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
if station.state != HeatingStationState.COMPLETED:
@@ -611,8 +688,16 @@ class VirtualWorkbench:
"output_position": f"C{output_number}",
"message": f"加热台{station_id}尚未完成加热 (当前状态: {station.state.value})",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
output_position = f"C{output_number}"
@@ -624,18 +709,17 @@ class VirtualWorkbench:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "waiting_for_arm_output"
# 获取机械臂
self._acquire_arm(task_desc)
with self._tasks_lock:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "arm_moving_to_output"
# 模拟机械臂操作 (3秒)
self.logger.info(f"[{material_id}] 机械臂正在从加热台{station_id}取出并移动到{output_position}...")
self.logger.info(
f"[{material_id}] 机械臂正在从加热台{station_id}取出并移动到{output_position}..."
)
time.sleep(self.ARM_OPERATION_TIME)
# 清空加热台
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.IDLE
self._heating_stations[station_id].current_material = None
@@ -643,17 +727,17 @@ class VirtualWorkbench:
self._heating_stations[station_id].heating_progress = 0.0
self._heating_stations[station_id].heating_start_time = None
# 释放机械臂
self._release_arm()
# 任务完成
with self._tasks_lock:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "completed"
self._active_tasks[material_id]["end_time"] = time.time()
self._update_data_status(f"{material_id}已移动到{output_position}")
self.logger.info(f"[{material_id}] 已成功移动到{output_position} (用时{self.ARM_OPERATION_TIME}s)")
self.logger.info(
f"[{material_id}] 已成功移动到{output_position} (用时{self.ARM_OPERATION_TIME}s)"
)
return {
"success": True,
@@ -662,8 +746,17 @@ class VirtualWorkbench:
"output_position": output_position,
"message": f"{material_id}已成功移动到{output_position}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content is not None else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
except Exception as e:
@@ -677,83 +770,105 @@ class VirtualWorkbench:
"output_position": output_position,
"message": f"移动失败: {str(e)}",
"unilabos_samples": [
LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for
sample_uuid, content in sample_uuids.items()]
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
# ============ 状态属性 ============
@property
@topic_config()
def status(self) -> str:
return self.data.get("status", "Unknown")
@property
@topic_config()
def arm_state(self) -> str:
return self._arm_state.value
@property
@topic_config()
def arm_current_task(self) -> str:
return self._arm_current_task or ""
@property
@topic_config()
def heating_station_1_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_1_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_1_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.heating_progress if station else 0.0
@property
@topic_config()
def heating_station_2_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_2_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_2_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.heating_progress if station else 0.0
@property
@topic_config()
def heating_station_3_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_3_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_3_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.heating_progress if station else 0.0
@property
@topic_config()
def active_tasks_count(self) -> int:
with self._tasks_lock:
return len(self._active_tasks)
@property
@topic_config()
def message(self) -> str:
return self.data.get("message", "")

View File

@@ -258,7 +258,7 @@ class BioyondResourceSynchronizer(ResourceSynchronizer):
logger.info(f"[同步→Bioyond] 物料不存在于 Bioyond将创建新物料并入库")
# 第1步从配置中获取仓库配置
warehouse_mapping = self.workstation.bioyond_config.get("warehouse_mapping", {})
warehouse_mapping = self.bioyond_config.get("warehouse_mapping", {})
# 确定目标仓库名称
parent_name = None

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,614 @@
"""
装饰器注册表系统
通过 @device, @action, @resource 装饰器替代 YAML 配置文件来定义设备/动作/资源注册表信息。
Usage:
from unilabos.registry.decorators import (
device, action, resource,
InputHandle, OutputHandle,
ActionInputHandle, ActionOutputHandle,
HardwareInterface, Side, DataSource,
)
@device(
id="solenoid_valve.mock",
category=["pump_and_valve"],
description="模拟电磁阀设备",
handles=[
InputHandle(key="in", data_type="fluid", label="in", side=Side.NORTH),
OutputHandle(key="out", data_type="fluid", label="out", side=Side.SOUTH),
],
hardware_interface=HardwareInterface(
name="hardware_interface",
read="send_command",
write="send_command",
),
)
class SolenoidValveMock:
@action(action_type=EmptyIn)
def close(self):
...
@action(
handles=[
ActionInputHandle(key="in", data_type="fluid", label="in"),
ActionOutputHandle(key="out", data_type="fluid", label="out"),
],
)
def set_valve_position(self, position):
...
# 无 @action 装饰器 => auto- 前缀动作
def is_open(self):
...
"""
from enum import Enum
from functools import wraps
from typing import Any, Callable, Dict, List, Optional, TypeVar
from pydantic import BaseModel, ConfigDict, Field
F = TypeVar("F", bound=Callable[..., Any])
# ---------------------------------------------------------------------------
# 枚举
# ---------------------------------------------------------------------------
class Side(str, Enum):
"""UI 上 Handle 的显示位置"""
NORTH = "NORTH"
SOUTH = "SOUTH"
EAST = "EAST"
WEST = "WEST"
class DataSource(str, Enum):
"""Handle 的数据来源"""
HANDLE = "handle" # 从上游 handle 获取数据 (用于 InputHandle)
EXECUTOR = "executor" # 从执行器输出数据 (用于 OutputHandle)
# ---------------------------------------------------------------------------
# Device / Resource Handle (设备/资源级别端口, 序列化时包含 io_type)
# ---------------------------------------------------------------------------
class _DeviceHandleBase(BaseModel):
"""设备/资源端口基类 (内部使用)"""
model_config = ConfigDict(populate_by_name=True)
key: str = Field(serialization_alias="handler_key")
data_type: str
label: str
side: Optional[Side] = None
data_key: Optional[str] = None
data_source: Optional[str] = None
description: Optional[str] = None
# 子类覆盖
io_type: str = ""
def to_registry_dict(self) -> Dict[str, Any]:
return self.model_dump(by_alias=True, exclude_none=True)
class InputHandle(_DeviceHandleBase):
"""
输入端口 (io_type="target"), 用于 @device / @resource handles
Example:
InputHandle(key="in", data_type="fluid", label="in", side=Side.NORTH)
"""
io_type: str = "target"
class OutputHandle(_DeviceHandleBase):
"""
输出端口 (io_type="source"), 用于 @device / @resource handles
Example:
OutputHandle(key="out", data_type="fluid", label="out", side=Side.SOUTH)
"""
io_type: str = "source"
# ---------------------------------------------------------------------------
# Action Handle (动作级别端口, 序列化时不含 io_type, 按类型自动分组)
# ---------------------------------------------------------------------------
class _ActionHandleBase(BaseModel):
"""动作端口基类 (内部使用)"""
model_config = ConfigDict(populate_by_name=True)
key: str = Field(serialization_alias="handler_key")
data_type: str
label: str
side: Optional[Side] = None
data_key: Optional[str] = None
data_source: Optional[str] = None
description: Optional[str] = None
io_type: Optional[str] = None # source/sink (dataflow) or target/source (device-style)
def to_registry_dict(self) -> Dict[str, Any]:
return self.model_dump(by_alias=True, exclude_none=True)
class ActionInputHandle(_ActionHandleBase):
"""
动作输入端口, 用于 @action handles, 序列化后归入 "input"
Example:
ActionInputHandle(
key="material_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source="handle",
)
"""
pass
class ActionOutputHandle(_ActionHandleBase):
"""
动作输出端口, 用于 @action handles, 序列化后归入 "output"
Example:
ActionOutputHandle(
key="station_output", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source="executor",
)
"""
pass
# ---------------------------------------------------------------------------
# HardwareInterface
# ---------------------------------------------------------------------------
class HardwareInterface(BaseModel):
"""
硬件通信接口定义
描述设备与底层硬件通信的方式 (串口、Modbus 等)。
Example:
HardwareInterface(name="hardware_interface", read="send_command", write="send_command")
"""
name: str
read: Optional[str] = None
write: Optional[str] = None
extra_info: Optional[List[str]] = None
# ---------------------------------------------------------------------------
# 全局注册表 -- 记录所有被装饰器标记的类/函数
# ---------------------------------------------------------------------------
_registered_devices: Dict[str, type] = {} # device_id -> class
_registered_resources: Dict[str, Any] = {} # resource_id -> class or function
def _device_handles_to_list(
handles: Optional[List[_DeviceHandleBase]],
) -> List[Dict[str, Any]]:
"""将设备/资源 Handle 列表序列化为字典列表 (含 io_type)"""
if handles is None:
return []
return [h.to_registry_dict() for h in handles]
def _action_handles_to_dict(
handles: Optional[List[_ActionHandleBase]],
) -> Dict[str, Any]:
"""
将动作 Handle 列表序列化为 {"input": [...], "output": [...]} 格式。
ActionInputHandle => "input", ActionOutputHandle => "output"
"""
if handles is None:
return {}
input_list = [h.to_registry_dict() for h in handles if isinstance(h, ActionInputHandle)]
output_list = [h.to_registry_dict() for h in handles if isinstance(h, ActionOutputHandle)]
result: Dict[str, Any] = {}
if input_list:
result["input"] = input_list
if output_list:
result["output"] = output_list
return result
# ---------------------------------------------------------------------------
# @device 类装饰器
# ---------------------------------------------------------------------------
# noinspection PyShadowingBuiltins
def device(
id: Optional[str] = None,
ids: Optional[List[str]] = None,
id_meta: Optional[Dict[str, Dict[str, Any]]] = None,
category: Optional[List[str]] = None,
description: str = "",
display_name: str = "",
icon: str = "",
version: str = "1.0.0",
handles: Optional[List[_DeviceHandleBase]] = None,
model: Optional[Dict[str, Any]] = None,
device_type: str = "python",
hardware_interface: Optional[HardwareInterface] = None,
):
"""
设备类装饰器
将类标记为一个 UniLab-OS 设备,并附加注册表元数据。
支持两种模式:
1. 单设备: id="xxx", category=[...]
2. 多设备: ids=["id1","id2"], id_meta={"id1":{handles:[...]}, "id2":{...}}
Args:
id: 单设备时的注册表唯一标识
ids: 多设备时的 id 列表,与 id_meta 配合使用
id_meta: 每个 device_id 的覆盖元数据 (handles/description/icon/model)
category: 设备分类标签列表 (必填)
description: 设备描述
display_name: 人类可读的设备显示名称,缺失时默认使用 id
icon: 图标路径
version: 版本号
handles: 设备端口列表 (单设备或 id_meta 未覆盖时使用)
model: 可选的 3D 模型配置
device_type: 设备实现类型 ("python" / "ros2")
hardware_interface: 硬件通信接口 (HardwareInterface)
"""
# Resolve device ids
if ids is not None:
device_ids = list(ids)
if not device_ids:
raise ValueError("@device ids 不能为空")
id_meta = id_meta or {}
elif id is not None:
device_ids = [id]
id_meta = {}
else:
raise ValueError("@device 必须提供 id 或 ids")
if category is None:
raise ValueError("@device category 必填")
base_meta = {
"category": category,
"description": description,
"display_name": display_name,
"icon": icon,
"version": version,
"handles": _device_handles_to_list(handles),
"model": model,
"device_type": device_type,
"hardware_interface": (hardware_interface.model_dump(exclude_none=True) if hardware_interface else None),
}
def decorator(cls):
cls._device_registry_meta = base_meta
cls._device_registry_id_meta = id_meta
cls._device_registry_ids = device_ids
for did in device_ids:
if did in _registered_devices:
raise ValueError(f"@device id 重复: '{did}' 已被 {_registered_devices[did]} 注册")
_registered_devices[did] = cls
return cls
return decorator
# ---------------------------------------------------------------------------
# @action 方法装饰器
# ---------------------------------------------------------------------------
# 区分 "用户没传 action_type" 和 "用户传了 None"
_ACTION_TYPE_UNSET = object()
# noinspection PyShadowingNames
def action(
action_type: Any = _ACTION_TYPE_UNSET,
goal: Optional[Dict[str, str]] = None,
feedback: Optional[Dict[str, str]] = None,
result: Optional[Dict[str, str]] = None,
handles: Optional[List[_ActionHandleBase]] = None,
goal_default: Optional[Dict[str, Any]] = None,
placeholder_keys: Optional[Dict[str, str]] = None,
always_free: bool = False,
is_protocol: bool = False,
description: str = "",
auto_prefix: bool = False,
parent: bool = False,
):
"""
动作方法装饰器
标记方法为注册表动作。有三种用法:
1. @action(action_type=EmptyIn, ...) -- 非 auto, 使用指定 ROS Action 类型
2. @action() -- 非 auto, UniLabJsonCommand (从方法签名生成 schema)
3. 不加 @action -- auto- 前缀, UniLabJsonCommand
Protocol 用法:
@action(action_type=Add, is_protocol=True)
def AddProtocol(self): ...
标记该动作为高级协议 (protocol),运行时通过 ROS Action 路由到
protocol generator 执行。action_type 指向 unilabos_msgs 的 Action 类型。
Args:
action_type: ROS Action 消息类型 (如 EmptyIn, SendCmd, HeatChill).
不传/默认 = UniLabJsonCommand (非 auto).
goal: Goal 字段映射 (ROS字段名 -> 设备参数名).
protocol 模式下可留空,系统自动生成 identity 映射.
feedback: Feedback 字段映射
result: Result 字段映射
handles: 动作端口列表 (ActionInputHandle / ActionOutputHandle)
goal_default: Goal 字段默认值映射 (字段名 -> 默认值), 与自动生成的 goal_default 合并
placeholder_keys: 参数占位符配置
always_free: 是否为永久闲置动作 (不受排队限制)
is_protocol: 是否为工作站协议 (protocol)。True 时运行时走 protocol generator 路径。
description: 动作描述
auto_prefix: 若为 True动作名使用 auto-{method_name} 形式(与无 @action 时一致)
parent: 若为 True当方法参数为空 (*args, **kwargs) 时,通过 MRO 从父类获取真实方法参数
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# action_type 为哨兵值 => 用户没传, 视为 None (UniLabJsonCommand)
resolved_type = None if action_type is _ACTION_TYPE_UNSET else action_type
meta = {
"action_type": resolved_type,
"goal": goal or {},
"feedback": feedback or {},
"result": result or {},
"handles": _action_handles_to_dict(handles),
"goal_default": goal_default or {},
"placeholder_keys": placeholder_keys or {},
"always_free": always_free,
"is_protocol": is_protocol,
"description": description,
"auto_prefix": auto_prefix,
"parent": parent,
}
wrapper._action_registry_meta = meta # type: ignore[attr-defined]
# 设置 _is_always_free 保持与旧 @always_free 装饰器兼容
if always_free:
wrapper._is_always_free = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
return decorator
def get_action_meta(func) -> Optional[Dict[str, Any]]:
"""获取方法上的 @action 装饰器元数据"""
return getattr(func, "_action_registry_meta", None)
def has_action_decorator(func) -> bool:
"""检查函数是否带有 @action 装饰器"""
return hasattr(func, "_action_registry_meta")
# ---------------------------------------------------------------------------
# @resource 类/函数装饰器
# ---------------------------------------------------------------------------
def resource(
id: str,
category: List[str],
description: str = "",
icon: str = "",
version: str = "1.0.0",
handles: Optional[List[_DeviceHandleBase]] = None,
model: Optional[Dict[str, Any]] = None,
class_type: str = "pylabrobot",
):
"""
资源类/函数装饰器
将类或工厂函数标记为一个 UniLab-OS 资源,附加注册表元数据。
Args:
id: 注册表唯一标识 (必填, 不可重复)
category: 资源分类标签列表 (必填)
description: 资源描述
icon: 图标路径
version: 版本号
handles: 端口列表 (InputHandle / OutputHandle)
model: 可选的 3D 模型配置
class_type: 资源实现类型 ("python" / "pylabrobot" / "unilabos")
"""
def decorator(obj):
meta = {
"resource_id": id,
"category": category,
"description": description,
"icon": icon,
"version": version,
"handles": _device_handles_to_list(handles),
"model": model,
"class_type": class_type,
}
obj._resource_registry_meta = meta
if id in _registered_resources:
raise ValueError(f"@resource id 重复: '{id}' 已被 {_registered_resources[id]} 注册")
_registered_resources[id] = obj
return obj
return decorator
def get_device_meta(cls, device_id: Optional[str] = None) -> Optional[Dict[str, Any]]:
"""
获取类上的 @device 装饰器元数据。
当 device_id 存在且类使用 ids+id_meta 时,返回合并后的 meta
(base_meta 与 id_meta[device_id] 深度合并)。
"""
base = getattr(cls, "_device_registry_meta", None)
if base is None:
return None
id_meta = getattr(cls, "_device_registry_id_meta", None) or {}
if device_id is None or device_id not in id_meta:
result = dict(base)
ids = getattr(cls, "_device_registry_ids", None)
result["device_id"] = device_id if device_id is not None else (ids[0] if ids else None)
return result
overrides = id_meta[device_id]
result = dict(base)
result["device_id"] = device_id
for key in ["handles", "description", "icon", "model"]:
if key in overrides:
val = overrides[key]
if key == "handles" and isinstance(val, list):
# handles 必须是 Handle 对象列表
result[key] = [h.to_registry_dict() for h in val]
else:
result[key] = val
return result
def get_resource_meta(obj) -> Optional[Dict[str, Any]]:
"""获取对象上的 @resource 装饰器元数据"""
return getattr(obj, "_resource_registry_meta", None)
def get_all_registered_devices() -> Dict[str, type]:
"""获取所有已注册的设备类"""
return _registered_devices.copy()
def get_all_registered_resources() -> Dict[str, Any]:
"""获取所有已注册的资源"""
return _registered_resources.copy()
def clear_registry():
"""清空全局注册表 (用于测试)"""
_registered_devices.clear()
_registered_resources.clear()
# ---------------------------------------------------------------------------
# topic_config / not_action / always_free 装饰器
# ---------------------------------------------------------------------------
def topic_config(
period: Optional[float] = None,
print_publish: Optional[bool] = None,
qos: Optional[int] = None,
name: Optional[str] = None,
) -> Callable[[F], F]:
"""
Topic发布配置装饰器
用于装饰 get_{attr_name} 方法或 @property控制对应属性的ROS topic发布行为。
Args:
period: 发布周期。None 表示使用默认值 5.0
print_publish: 是否打印发布日志。None 表示使用节点默认配置
qos: QoS深度配置。None 表示使用默认值 10
name: 自定义发布名称。None 表示使用方法名(去掉 get_ 前缀)
Note:
与 @property 连用时,@topic_config 必须放在 @property 下面,
这样装饰器执行顺序为:先 topic_config 添加配置,再 property 包装。
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper._topic_period = period # type: ignore[attr-defined]
wrapper._topic_print_publish = print_publish # type: ignore[attr-defined]
wrapper._topic_qos = qos # type: ignore[attr-defined]
wrapper._topic_name = name # type: ignore[attr-defined]
wrapper._has_topic_config = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
return decorator
def get_topic_config(func) -> dict:
"""获取函数上的 topic 配置 (period, print_publish, qos, name)"""
if hasattr(func, "_has_topic_config") and getattr(func, "_has_topic_config", False):
return {
"period": getattr(func, "_topic_period", None),
"print_publish": getattr(func, "_topic_print_publish", None),
"qos": getattr(func, "_topic_qos", None),
"name": getattr(func, "_topic_name", None),
}
return {}
def always_free(func: F) -> F:
"""
标记动作为永久闲置(不受busy队列限制)的装饰器
被此装饰器标记的 action 方法,在执行时不会受到设备级别的排队限制,
任何时候请求都可以立即执行。适用于查询类、状态读取类等轻量级操作。
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper._is_always_free = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_always_free(func) -> bool:
"""检查函数是否被标记为永久闲置"""
return getattr(func, "_is_always_free", False)
def not_action(func: F) -> F:
"""
标记方法为非动作的装饰器
用于装饰 driver 类中的方法,使其在注册表扫描时不被识别为动作。
适用于辅助方法、内部工具方法等不应暴露为设备动作的公共方法。
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper._is_not_action = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_not_action(func) -> bool:
"""检查函数是否被标记为非动作"""
return getattr(func, "_is_not_action", False)

View File

@@ -317,47 +317,6 @@ separator.chinwe:
- port
type: object
type: UniLabJsonCommand
separation_step:
goal:
max_cycles: 0
motor_id: 5
pulses: 700
speed: 60
timeout: 300
handles: {}
schema:
description: 分液步骤 - 液位传感器与电机联动 (有液→顺时针, 无液→逆时针)
properties:
goal:
properties:
max_cycles:
default: 0
description: 最大循环次数 (0=无限制)
type: integer
motor_id:
default: '5'
description: 选择电机
enum:
- '4'
- '5'
title: '注: 4=搅拌, 5=旋钮'
type: string
pulses:
default: 700
description: 每次旋转脉冲数 (约1/4圈)
type: integer
speed:
default: 60
description: 电机转速 (RPM)
type: integer
timeout:
default: 300
description: 超时时间 (秒)
type: integer
required:
- motor_id
type: object
type: UniLabJsonCommand
wait_sensor_level:
goal:
target_state: 有液

View File

@@ -1,286 +0,0 @@
motor.zdt_x42:
category:
- motor
class:
action_value_mappings:
auto-enable:
feedback: {}
goal: {}
goal_default:
'on': true
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 使能或禁用电机。使能后电机进入锁轴状态,可接收运动指令;禁用后电机进入松轴状态。
properties:
feedback: {}
goal:
properties:
'on':
default: true
type: boolean
required: []
type: object
result: {}
required:
- goal
title: enable参数
type: object
type: UniLabJsonCommand
auto-get_position:
feedback: {}
goal: {}
goal_default: {}
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 获取当前电机脉冲位置。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result:
properties:
position:
type: integer
type: object
required:
- goal
title: get_position参数
type: object
type: UniLabJsonCommand
auto-move_position:
feedback: {}
goal: {}
goal_default:
absolute: false
acceleration: 10
direction: CW
pulses: 1000
speed_rpm: 60
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 位置模式运行。控制电机移动到指定脉冲位置或相对于当前位置移动指定脉冲数。
properties:
feedback: {}
goal:
properties:
absolute:
default: false
type: boolean
acceleration:
default: 10
maximum: 255
minimum: 0
type: integer
direction:
default: CW
enum:
- CW
- CCW
type: string
pulses:
default: 1000
type: integer
speed_rpm:
default: 60
minimum: 0
type: integer
required:
- pulses
- speed_rpm
type: object
result: {}
required:
- goal
title: move_position参数
type: object
type: UniLabJsonCommand
auto-move_speed:
feedback: {}
goal: {}
goal_default:
acceleration: 10
direction: CW
speed_rpm: 60
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 速度模式运行。控制电机以指定转速和方向持续转动。
properties:
feedback: {}
goal:
properties:
acceleration:
default: 10
maximum: 255
minimum: 0
type: integer
direction:
default: CW
enum:
- CW
- CCW
type: string
speed_rpm:
default: 60
minimum: 0
type: integer
required:
- speed_rpm
type: object
result: {}
required:
- goal
title: move_speed参数
type: object
type: UniLabJsonCommand
auto-rotate_quarter:
feedback: {}
goal: {}
goal_default:
direction: CW
speed_rpm: 60
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 电机旋转 1/4 圈 (阻塞式)。
properties:
feedback: {}
goal:
properties:
direction:
default: CW
enum:
- CW
- CCW
type: string
speed_rpm:
default: 60
minimum: 1
type: integer
required: []
type: object
result: {}
required:
- goal
title: rotate_quarter参数
type: object
type: UniLabJsonCommand
auto-set_zero:
feedback: {}
goal: {}
goal_default: {}
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 将当前电机位置设为零点。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: set_zero参数
type: object
type: UniLabJsonCommand
auto-stop:
feedback: {}
goal: {}
goal_default: {}
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 立即停止电机运动。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: stop参数
type: object
type: UniLabJsonCommand
auto-wait_time:
feedback: {}
goal: {}
goal_default:
duration_s: 1.0
handles: {}
placeholder_keys: {}
result: {}
schema:
description: 等待指定时间 (秒)。
properties:
feedback: {}
goal:
properties:
duration_s:
default: 1.0
minimum: 0
type: number
required:
- duration_s
type: object
result: {}
required:
- goal
title: wait_time参数
type: object
type: UniLabJsonCommand
module: unilabos.devices.motor.ZDT_X42:ZDTX42Driver
status_types:
position: int
status: str
type: python
config_info: []
description: ZDT X42 闭环步进电机驱动。支持速度运行、精确位置控制、位置查询和清零功能。适用于各种需要精确运动控制的实验室自动化场景。
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 115200
type: integer
debug:
default: false
type: boolean
device_id:
default: 1
type: integer
port:
type: string
timeout:
default: 0.5
type: number
required:
- port
type: object
data:
properties:
position:
type: integer
status:
type: string
required:
- status
- position
type: object
version: 1.0.0

View File

@@ -1,148 +0,0 @@
sensor.xkc_rs485:
category:
- sensor
- separator
class:
action_value_mappings:
auto-change_baudrate:
goal:
baud_code: 7
handles: {}
schema:
description: '更改通讯波特率 (设置成功后无返回,且需手动切换波特率重连)。代码表 (16进制): 05=2400, 06=4800,
07=9600, 08=14400, 09=19200, 0A=28800, 0C=57600, 0D=115200, 0E=128000,
0F=256000'
properties:
goal:
properties:
baud_code:
description: '波特率代码 (例如: 7 为 9600, 13 即 0x0D 为 115200)'
type: integer
required:
- baud_code
type: object
type: UniLabJsonCommand
auto-change_device_id:
goal:
new_id: 1
handles: {}
schema:
description: 修改传感器的 Modbus 从站地址
properties:
goal:
properties:
new_id:
description: 新的从站地址 (1-254)
maximum: 254
minimum: 1
type: integer
required:
- new_id
type: object
type: UniLabJsonCommand
auto-factory_reset:
goal: {}
handles: {}
schema:
description: 恢复出厂设置 (地址重置为 01)
properties:
goal:
type: object
type: UniLabJsonCommand
auto-read_level:
goal: {}
handles: {}
schema:
description: 直接读取当前液位及信号强度
properties:
goal:
type: object
type: object
type: UniLabJsonCommand
auto-set_threshold:
goal:
threshold: 300
handles: {}
schema:
description: 设置液位判定阈值
properties:
goal:
properties:
threshold:
type: integer
required:
- threshold
type: object
type: UniLabJsonCommand
auto-wait_for_liquid:
goal:
target_state: true
timeout: 120
handles: {}
schema:
description: 实时检测电导率(RSSI)并等待用户指定的状态
properties:
goal:
properties:
target_state:
default: true
description: 目标状态 (True=有液, False=无液)
type: boolean
timeout:
default: 120
description: 超时时间 (秒)
required:
- target_state
type: object
type: UniLabJsonCommand
auto-wait_level:
goal:
level: true
timeout: 10
handles: {}
schema:
description: 等待液位达到目标状态
properties:
goal:
properties:
level:
type: boolean
timeout:
type: number
required:
- level
type: object
type: UniLabJsonCommand
module: unilabos.devices.separator.xkc_sensor:XKCSensorDriver
status_types:
level: bool
rssi: int
type: python
config_info: []
description: XKC RS485 非接触式液位传感器 (Modbus RTU)
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 9600
type: integer
debug:
default: false
type: boolean
device_id:
default: 1
type: integer
port:
type: string
threshold:
default: 300
type: integer
timeout:
default: 3.0
type: number
required:
- port
type: object
version: 1.0.0

File diff suppressed because it is too large Load Diff

View File

@@ -46,16 +46,3 @@ BIOYOND_PolymerStation_8StockCarrier:
init_param_schema: {}
registry_type: resource
version: 1.0.0
BIOYOND_PolymerStation_TipBox:
category:
- bottle_carriers
- tip_racks
class:
module: unilabos.resources.bioyond.bottle_carriers:BIOYOND_PolymerStation_TipBox
type: pylabrobot
description: BIOYOND_PolymerStation_TipBox (4x6布局24个枪头孔位)
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0

View File

@@ -82,3 +82,14 @@ BIOYOND_PolymerStation_Solution_Beaker:
icon: ''
init_param_schema: {}
version: 1.0.0
BIOYOND_PolymerStation_TipBox:
category:
- bottles
- tip_boxes
class:
module: unilabos.resources.bioyond.bottles:BIOYOND_PolymerStation_TipBox
type: pylabrobot
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0

699
unilabos/registry/utils.py Normal file
View File

@@ -0,0 +1,699 @@
"""
注册表工具函数
从 registry.py 中提取的纯工具函数,包括:
- docstring 解析
- 类型字符串 → JSON Schema 转换
- AST 类型节点解析
- TypedDict / Slot / Handle 等辅助检测
"""
import inspect
import logging
import re
import typing
from typing import Any, Dict, List, Optional, Tuple, Union
from msgcenterpy.instances.typed_dict_instance import TypedDictMessageInstance
from unilabos.utils.cls_creator import import_class
_logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# 异常
# ---------------------------------------------------------------------------
class ROSMsgNotFound(Exception):
pass
# ---------------------------------------------------------------------------
# Docstring 解析 (Google-style)
# ---------------------------------------------------------------------------
_SECTION_RE = re.compile(r"^(\w[\w\s]*):\s*$")
def parse_docstring(docstring: Optional[str]) -> Dict[str, Any]:
"""
解析 Google-style docstring提取描述和参数说明。
Returns:
{"description": "短描述", "params": {"param1": "参数1描述", ...}}
"""
result: Dict[str, Any] = {"description": "", "params": {}}
if not docstring:
return result
lines = docstring.strip().splitlines()
if not lines:
return result
result["description"] = lines[0].strip()
in_args = False
current_param: Optional[str] = None
current_desc_parts: list = []
for line in lines[1:]:
stripped = line.strip()
section_match = _SECTION_RE.match(stripped)
if section_match:
if current_param is not None:
result["params"][current_param] = "\n".join(current_desc_parts).strip()
current_param = None
current_desc_parts = []
section_name = section_match.group(1).lower()
in_args = section_name in ("args", "arguments", "parameters", "params")
continue
if not in_args:
continue
if ":" in stripped and not stripped.startswith(" "):
if current_param is not None:
result["params"][current_param] = "\n".join(current_desc_parts).strip()
param_part, _, desc_part = stripped.partition(":")
param_name = param_part.strip().split("(")[0].strip()
current_param = param_name
current_desc_parts = [desc_part.strip()]
elif current_param is not None:
aline = line
if aline.startswith(" "):
aline = aline[4:]
elif aline.startswith("\t"):
aline = aline[1:]
current_desc_parts.append(aline.strip())
if current_param is not None:
result["params"][current_param] = "\n".join(current_desc_parts).strip()
return result
# ---------------------------------------------------------------------------
# 类型常量
# ---------------------------------------------------------------------------
SIMPLE_TYPE_MAP = {
"str": "string",
"string": "string",
"int": "integer",
"integer": "integer",
"float": "number",
"number": "number",
"bool": "boolean",
"boolean": "boolean",
"list": "array",
"array": "array",
"dict": "object",
"object": "object",
}
ARRAY_TYPES = {"list", "List", "tuple", "Tuple", "set", "Set", "Sequence", "Iterable"}
OBJECT_TYPES = {"dict", "Dict", "Mapping"}
WRAPPER_TYPES = {"Optional"}
SLOT_TYPES = {"ResourceSlot", "DeviceSlot"}
# ---------------------------------------------------------------------------
# 简单类型映射
# ---------------------------------------------------------------------------
def get_json_schema_type(type_str: str) -> str:
"""简单类型名 -> JSON Schema type"""
return SIMPLE_TYPE_MAP.get(type_str.lower(), "string")
# ---------------------------------------------------------------------------
# AST 类型解析
# ---------------------------------------------------------------------------
def parse_type_node(type_str: str):
"""将类型注解字符串解析为 AST 节点,失败返回 None。"""
import ast as _ast
try:
return _ast.parse(type_str.strip(), mode="eval").body
except Exception:
return None
def _collect_bitor(node, out: list):
"""递归收集 X | Y | Z 的所有分支。"""
import ast as _ast
if isinstance(node, _ast.BinOp) and isinstance(node.op, _ast.BitOr):
_collect_bitor(node.left, out)
_collect_bitor(node.right, out)
else:
out.append(node)
def type_node_to_schema(
node,
import_map: Optional[Dict[str, str]] = None,
) -> Dict[str, Any]:
"""将 AST 类型注解节点递归转换为 JSON Schema dict。
当提供 import_map 时,对于未知类名会尝试通过 import_map 解析模块路径,
然后 import 真实类型对象来生成 schema (支持 TypedDict 等)。
映射规则:
- Optional[X] → X 的 schema (剥掉 Optional)
- Union[X, Y] → {"anyOf": [X_schema, Y_schema]}
- List[X] / Tuple[X] / Set[X] → {"type": "array", "items": X_schema}
- Dict[K, V] → {"type": "object", "additionalProperties": V_schema}
- Literal["a", "b"] → {"type": "string", "enum": ["a", "b"]}
- TypedDict (via import_map) → {"type": "object", "properties": {...}}
- 基本类型 str/int/... → {"type": "string"/"integer"/...}
"""
import ast as _ast
# --- Name 节点: str / int / dict / ResourceSlot / 自定义类 ---
if isinstance(node, _ast.Name):
name = node.id
if name in SLOT_TYPES:
return {"$slot": name}
json_type = SIMPLE_TYPE_MAP.get(name.lower())
if json_type:
return {"type": json_type}
# 尝试通过 import_map 解析并 import 真实类型
if import_map and name in import_map:
type_obj = resolve_type_object(import_map[name])
if type_obj is not None:
return type_to_schema(type_obj)
# 未知类名 → 无法转 schema 的自定义类型默认当 object
return {"type": "object"}
if isinstance(node, _ast.Constant):
if isinstance(node.value, str):
return {"type": SIMPLE_TYPE_MAP.get(node.value.lower(), "string")}
return {"type": "string"}
# --- Subscript 节点: List[X], Dict[K,V], Optional[X], Literal[...] 等 ---
if isinstance(node, _ast.Subscript):
base_name = node.value.id if isinstance(node.value, _ast.Name) else ""
# Optional[X] → 剥掉
if base_name in WRAPPER_TYPES:
return type_node_to_schema(node.slice, import_map)
# Union[X, None] → 剥掉 None; Union[X, Y] → anyOf
if base_name == "Union":
elts = node.slice.elts if isinstance(node.slice, _ast.Tuple) else [node.slice]
non_none = [
e
for e in elts
if not (isinstance(e, _ast.Constant) and e.value is None)
and not (isinstance(e, _ast.Name) and e.id == "None")
]
if len(non_none) == 1:
return type_node_to_schema(non_none[0], import_map)
if len(non_none) > 1:
return {"anyOf": [type_node_to_schema(e, import_map) for e in non_none]}
return {"type": "string"}
# Literal["a", "b", 1] → enum
if base_name == "Literal":
elts = node.slice.elts if isinstance(node.slice, _ast.Tuple) else [node.slice]
values = []
for e in elts:
if isinstance(e, _ast.Constant):
values.append(e.value)
elif isinstance(e, _ast.Name):
values.append(e.id)
if values:
return {"type": "string", "enum": values}
return {"type": "string"}
# List / Tuple / Set → array
if base_name in ARRAY_TYPES:
if isinstance(node.slice, _ast.Tuple) and node.slice.elts:
inner_node = node.slice.elts[0]
else:
inner_node = node.slice
return {"type": "array", "items": type_node_to_schema(inner_node, import_map)}
# Dict → object
if base_name in OBJECT_TYPES:
schema: Dict[str, Any] = {"type": "object"}
if isinstance(node.slice, _ast.Tuple) and len(node.slice.elts) >= 2:
val_node = node.slice.elts[1]
# Dict[str, Any] → 不加 additionalProperties (Any 等同于无约束)
is_any = (isinstance(val_node, _ast.Name) and val_node.id == "Any") or (
isinstance(val_node, _ast.Constant) and val_node.value is None
)
if not is_any:
val_schema = type_node_to_schema(val_node, import_map)
schema["additionalProperties"] = val_schema
return schema
# --- BinOp: X | Y (Python 3.10+) → 当 Union 处理 ---
if isinstance(node, _ast.BinOp) and isinstance(node.op, _ast.BitOr):
parts: list = []
_collect_bitor(node, parts)
non_none = [
p
for p in parts
if not (isinstance(p, _ast.Constant) and p.value is None)
and not (isinstance(p, _ast.Name) and p.id == "None")
]
if len(non_none) == 1:
return type_node_to_schema(non_none[0], import_map)
if len(non_none) > 1:
return {"anyOf": [type_node_to_schema(p, import_map) for p in non_none]}
return {"type": "string"}
return {"type": "string"}
# ---------------------------------------------------------------------------
# 真实类型对象解析 (import-based)
# ---------------------------------------------------------------------------
def resolve_type_object(type_ref: str) -> Optional[Any]:
"""通过 'module.path:ClassName' 格式的引用 import 并返回真实类型对象。
对于 typing 内置名 (str, int, List 等) 直接返回 None (由 AST 路径处理)。
import 失败时静默返回 None。
"""
if ":" not in type_ref:
return None
try:
return import_class(type_ref)
except Exception:
return None
def is_typed_dict_class(obj: Any) -> bool:
"""检查对象是否是 TypedDict 类。"""
if obj is None:
return False
try:
from typing_extensions import is_typeddict
return is_typeddict(obj)
except ImportError:
if isinstance(obj, type):
return hasattr(obj, "__required_keys__") and hasattr(obj, "__optional_keys__")
return False
def type_to_schema(tp: Any) -> Dict[str, Any]:
"""将真实 typing 对象递归转换为 JSON Schema dict。
支持:
- 基本类型: str, int, float, bool → {"type": "string"/"integer"/...}
- typing 泛型: List[X], Dict[K,V], Optional[X], Union[X,Y], Literal[...]
- TypedDict → {"type": "object", "properties": {...}, "required": [...]}
- 自定义类 (ResourceSlot 等) → {"$slot": "..."} 或 {"type": "string"}
"""
origin = getattr(tp, "__origin__", None)
args = getattr(tp, "__args__", None)
# --- None / NoneType ---
if tp is type(None):
return {"type": "null"}
# --- 基本类型 ---
if tp is str:
return {"type": "string"}
if tp is int:
return {"type": "integer"}
if tp is float:
return {"type": "number"}
if tp is bool:
return {"type": "boolean"}
# --- TypedDict ---
if is_typed_dict_class(tp):
try:
return TypedDictMessageInstance.get_json_schema_from_typed_dict(tp)
except Exception:
return {"type": "object"}
# --- Literal ---
if origin is typing.Literal:
values = list(args) if args else []
return {"type": "string", "enum": values}
# --- Optional / Union ---
if origin is typing.Union:
non_none = [a for a in (args or ()) if a is not type(None)]
if len(non_none) == 1:
return type_to_schema(non_none[0])
if len(non_none) > 1:
return {"anyOf": [type_to_schema(a) for a in non_none]}
return {"type": "string"}
# --- List / Sequence / Set / Tuple / Iterable ---
if origin in (list, tuple, set, frozenset) or (
origin is not None
and getattr(origin, "__name__", "") in ("Sequence", "Iterable", "Iterator", "MutableSequence")
):
if args:
return {"type": "array", "items": type_to_schema(args[0])}
return {"type": "array"}
# --- Dict / Mapping ---
if origin in (dict,) or (origin is not None and getattr(origin, "__name__", "") in ("Mapping", "MutableMapping")):
schema: Dict[str, Any] = {"type": "object"}
if args and len(args) >= 2:
schema["additionalProperties"] = type_to_schema(args[1])
return schema
# --- Slot 类型 ---
if isinstance(tp, type):
name = tp.__name__
if name in SLOT_TYPES:
return {"$slot": name}
# --- 其他未知类型 fallback ---
if isinstance(tp, type):
return {"type": "object"}
return {"type": "string"}
# ---------------------------------------------------------------------------
# Slot / Placeholder 检测
# ---------------------------------------------------------------------------
def detect_slot_type(ptype) -> Tuple[Optional[str], bool]:
"""检测参数类型是否为 ResourceSlot / DeviceSlot。
兼容多种格式:
- runtime: "unilabos.registry.placeholder_type:ResourceSlot"
- runtime tuple: ("list", "unilabos.registry.placeholder_type:ResourceSlot")
- AST 裸名: "ResourceSlot", "List[ResourceSlot]", "Optional[ResourceSlot]"
Returns: (slot_name | None, is_list)
"""
ptype_str = str(ptype)
# 快速路径: 字符串里根本没有 Slot
if "ResourceSlot" not in ptype_str and "DeviceSlot" not in ptype_str:
return (None, False)
# runtime 格式: 完整模块路径
if isinstance(ptype, str):
if ptype.endswith(":ResourceSlot") or ptype == "ResourceSlot":
return ("ResourceSlot", False)
if ptype.endswith(":DeviceSlot") or ptype == "DeviceSlot":
return ("DeviceSlot", False)
# AST 复杂格式: List[ResourceSlot], Optional[ResourceSlot] 等
if "[" in ptype:
node = parse_type_node(ptype)
if node is not None:
schema = type_node_to_schema(node)
# 直接是 slot
if "$slot" in schema:
return (schema["$slot"], False)
# array 包裹 slot: {"type": "array", "items": {"$slot": "..."}}
items = schema.get("items", {})
if isinstance(items, dict) and "$slot" in items:
return (items["$slot"], True)
return (None, False)
# runtime tuple 格式
if isinstance(ptype, tuple) and len(ptype) == 2:
inner_str = str(ptype[1])
if "ResourceSlot" in inner_str:
return ("ResourceSlot", True)
if "DeviceSlot" in inner_str:
return ("DeviceSlot", True)
return (None, False)
def detect_placeholder_keys(params: list) -> Dict[str, str]:
"""Detect parameters that reference ResourceSlot or DeviceSlot."""
result: Dict[str, str] = {}
for p in params:
ptype = p.get("type", "")
if "ResourceSlot" in str(ptype):
result[p["name"]] = "unilabos_resources"
elif "DeviceSlot" in str(ptype):
result[p["name"]] = "unilabos_devices"
return result
# ---------------------------------------------------------------------------
# Handle 规范化
# ---------------------------------------------------------------------------
def normalize_ast_handles(handles_raw: Any) -> List[Dict[str, Any]]:
"""Convert AST-parsed handle structures to the standard registry format."""
if not handles_raw:
return []
# handle_type → io_type 映射 (AST 内部类名 → YAML 标准字段值)
_HANDLE_TYPE_TO_IO_TYPE = {
"input": "target",
"output": "source",
"action_input": "action_target",
"action_output": "action_source",
}
result: List[Dict[str, Any]] = []
for h in handles_raw:
if isinstance(h, dict):
call = h.get("_call", "")
if "InputHandle" in call:
handle_type = "input"
elif "OutputHandle" in call:
handle_type = "output"
elif "ActionInputHandle" in call:
handle_type = "action_input"
elif "ActionOutputHandle" in call:
handle_type = "action_output"
else:
handle_type = h.get("handle_type", "unknown")
io_type = _HANDLE_TYPE_TO_IO_TYPE.get(handle_type, handle_type)
entry: Dict[str, Any] = {
"handler_key": h.get("key", ""),
"data_type": h.get("data_type", ""),
"io_type": io_type,
}
side = h.get("side")
if side:
if isinstance(side, str) and "." in side:
val = side.rsplit(".", 1)[-1]
side = val.lower() if val in ("LEFT", "RIGHT", "TOP", "BOTTOM") else val
entry["side"] = side
label = h.get("label")
if label:
entry["label"] = label
data_key = h.get("data_key")
if data_key:
entry["data_key"] = data_key
data_source = h.get("data_source")
if data_source:
if isinstance(data_source, str) and "." in data_source:
val = data_source.rsplit(".", 1)[-1]
data_source = val.lower() if val in ("HANDLE", "EXECUTOR") else val
entry["data_source"] = data_source
description = h.get("description")
if description:
entry["description"] = description
result.append(entry)
return result
def normalize_ast_action_handles(handles_raw: Any) -> Dict[str, Any]:
"""Convert AST-parsed action handle list to {"input": [...], "output": [...]}.
Mirrors the runtime behavior of decorators._action_handles_to_dict:
- ActionInputHandle => grouped under "input"
- ActionOutputHandle => grouped under "output"
Field mapping: key -> handler_key (matches Pydantic serialization_alias).
"""
if not handles_raw or not isinstance(handles_raw, list):
return {}
input_list: List[Dict[str, Any]] = []
output_list: List[Dict[str, Any]] = []
for h in handles_raw:
if not isinstance(h, dict):
continue
call = h.get("_call", "")
is_input = "ActionInputHandle" in call or "InputHandle" in call
is_output = "ActionOutputHandle" in call or "OutputHandle" in call
entry: Dict[str, Any] = {
"handler_key": h.get("key", ""),
"data_type": h.get("data_type", ""),
"label": h.get("label", ""),
}
for opt_key in ("side", "data_key", "data_source", "description", "io_type"):
val = h.get(opt_key)
if val is not None:
# Only resolve enum-style refs (e.g. DataSource.HANDLE -> handle) for data_source/side
# data_key values like "wells.@flatten", "@this.0@@@plate" must be preserved as-is
if (
isinstance(val, str)
and "." in val
and opt_key not in ("io_type", "data_key")
):
val = val.rsplit(".", 1)[-1].lower()
entry[opt_key] = val
# io_type: only add when explicitly set; do not default output to "sink" (YAML convention omits it)
if "io_type" not in entry and is_input:
entry["io_type"] = "source"
if is_input:
input_list.append(entry)
elif is_output:
output_list.append(entry)
result: Dict[str, Any] = {}
if input_list:
result["input"] = input_list
# Always include output (empty list when no outputs) to match YAML
result["output"] = output_list
return result
# ---------------------------------------------------------------------------
# Schema 辅助
# ---------------------------------------------------------------------------
def wrap_action_schema(
goal_schema: Dict[str, Any],
action_name: str,
description: str = "",
result_schema: Optional[Dict[str, Any]] = None,
feedback_schema: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
"""
将 goal 参数 schema 包装为标准的 action schema 格式:
{ "properties": { "goal": ..., "feedback": ..., "result": ... }, ... }
"""
# 去掉 auto- 前缀用于 title/description与 YAML 路径保持一致
display_name = action_name.removeprefix("auto-")
return {
"title": f"{display_name}参数",
"description": description or f"{display_name}的参数schema",
"type": "object",
"properties": {
"goal": goal_schema,
"feedback": feedback_schema or {},
"result": result_schema or {},
},
"required": ["goal"],
}
def preserve_field_descriptions(new_schema: Dict[str, Any], prev_schema: Dict[str, Any]):
"""保留之前 schema 中的 field descriptions"""
if not prev_schema or not new_schema:
return
prev_props = prev_schema.get("properties", {})
new_props = new_schema.get("properties", {})
for field_name, prev_field in prev_props.items():
if field_name in new_props and "title" in prev_field:
new_props[field_name].setdefault("title", prev_field["title"])
# ---------------------------------------------------------------------------
# 深度对比
# ---------------------------------------------------------------------------
def _short(val, limit=120):
"""截断过长的值用于日志显示。"""
s = repr(val)
return s if len(s) <= limit else s[:limit] + "..."
def deep_diff(old, new, path="", max_depth=10) -> list:
"""递归对比两个对象,返回所有差异的描述列表。"""
diffs = []
if max_depth <= 0:
if old != new:
diffs.append(f"{path}: (达到最大深度) OLD≠NEW")
return diffs
if type(old) != type(new):
diffs.append(f"{path}: 类型不同 OLD={type(old).__name__}({_short(old)}) NEW={type(new).__name__}({_short(new)})")
return diffs
if isinstance(old, dict):
old_keys = set(old.keys())
new_keys = set(new.keys())
for k in sorted(new_keys - old_keys):
diffs.append(f"{path}.{k}: 新增字段 (AST有, YAML无) = {_short(new[k])}")
for k in sorted(old_keys - new_keys):
diffs.append(f"{path}.{k}: 缺失字段 (YAML有, AST无) = {_short(old[k])}")
for k in sorted(old_keys & new_keys):
diffs.extend(deep_diff(old[k], new[k], f"{path}.{k}", max_depth - 1))
elif isinstance(old, (list, tuple)):
if len(old) != len(new):
diffs.append(f"{path}: 列表长度不同 OLD={len(old)} NEW={len(new)}")
for i in range(min(len(old), len(new))):
diffs.extend(deep_diff(old[i], new[i], f"{path}[{i}]", max_depth - 1))
if len(new) > len(old):
for i in range(len(old), len(new)):
diffs.append(f"{path}[{i}]: 新增元素 = {_short(new[i])}")
elif len(old) > len(new):
for i in range(len(new), len(old)):
diffs.append(f"{path}[{i}]: 缺失元素 = {_short(old[i])}")
else:
if old != new:
diffs.append(f"{path}: OLD={_short(old)} NEW={_short(new)}")
return diffs
# ---------------------------------------------------------------------------
# MRO 方法参数解析
# ---------------------------------------------------------------------------
def resolve_method_params_via_import(module_str: str, method_name: str) -> Dict[str, str]:
"""当 AST 方法参数为空 (如 *args, **kwargs) 时, import class 并通过 MRO 获取真实方法参数.
返回 identity mapping {param_name: param_name}.
"""
if not module_str or ":" not in module_str:
return {}
try:
cls = import_class(module_str)
except Exception as e:
_logger.debug(f"[AST] resolve_method_params_via_import: import_class('{module_str}') failed: {e}")
return {}
try:
for base_cls in cls.__mro__:
if method_name not in base_cls.__dict__:
continue
method = base_cls.__dict__[method_name]
actual = getattr(method, "__wrapped__", method)
if isinstance(actual, (staticmethod, classmethod)):
actual = actual.__func__
if not callable(actual):
continue
sig = inspect.signature(actual, follow_wrapped=True)
params = [
p.name for p in sig.parameters.values()
if p.name not in ("self", "cls")
and p.kind not in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD)
]
if params:
return {p: p for p in params}
except Exception as e:
_logger.debug(f"[AST] resolve_method_params_via_import: MRO walk for '{method_name}' failed: {e}")
return {}

View File

@@ -1,4 +1,4 @@
from pylabrobot.resources import create_homogeneous_resources, Coordinate, ResourceHolder, create_ordered_items_2d, Container
from pylabrobot.resources import create_homogeneous_resources, Coordinate, ResourceHolder, create_ordered_items_2d
from unilabos.resources.itemized_carrier import BottleCarrier
from unilabos.resources.bioyond.bottles import (
@@ -9,28 +9,6 @@ from unilabos.resources.bioyond.bottles import (
BIOYOND_PolymerStation_Reagent_Bottle,
BIOYOND_PolymerStation_Flask,
)
def BIOYOND_PolymerStation_Tip(name: str, size_x: float = 8.0, size_y: float = 8.0, size_z: float = 50.0) -> Container:
"""创建单个枪头资源
Args:
name: 枪头名称
size_x: 枪头宽度 (mm)
size_y: 枪头长度 (mm)
size_z: 枪头高度 (mm)
Returns:
Container: 枪头容器
"""
return Container(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
category="tip",
model="BIOYOND_PolymerStation_Tip",
)
# 命名约定:试剂瓶-Bottle烧杯-Beaker烧瓶-Flask,小瓶-Vial
@@ -344,88 +322,3 @@ def BIOYOND_Electrolyte_1BottleCarrier(name: str) -> BottleCarrier:
carrier.num_items_z = 1
carrier[0] = BIOYOND_PolymerStation_Solution_Beaker(f"{name}_beaker_1")
return carrier
def BIOYOND_PolymerStation_TipBox(
name: str,
size_x: float = 127.76, # 枪头盒宽度
size_y: float = 85.48, # 枪头盒长度
size_z: float = 100.0, # 枪头盒高度
barcode: str = None,
) -> BottleCarrier:
"""创建4×6枪头盒 (24个枪头) - 使用 BottleCarrier 结构
Args:
name: 枪头盒名称
size_x: 枪头盒宽度 (mm)
size_y: 枪头盒长度 (mm)
size_z: 枪头盒高度 (mm)
barcode: 条形码
Returns:
BottleCarrier: 包含24个枪头孔位的枪头盒载架
布局说明:
- 4行×6列 (A-D, 1-6)
- 枪头孔位间距: 18mm (x方向) × 18mm (y方向)
- 起始位置居中对齐
- 索引顺序: 列优先 (0=A1, 1=B1, 2=C1, 3=D1, 4=A2, ...)
"""
# 枪头孔位参数
num_cols = 6 # 1-6 (x方向)
num_rows = 4 # A-D (y方向)
tip_diameter = 8.0 # 枪头孔位直径
tip_spacing_x = 18.0 # 列间距 (增加到18mm更宽松)
tip_spacing_y = 18.0 # 行间距 (增加到18mm更宽松)
# 计算起始位置 (居中对齐)
total_width = (num_cols - 1) * tip_spacing_x + tip_diameter
total_height = (num_rows - 1) * tip_spacing_y + tip_diameter
start_x = (size_x - total_width) / 2
start_y = (size_y - total_height) / 2
# 使用 create_ordered_items_2d 创建孔位
# create_ordered_items_2d 返回的 key 是数字索引: 0, 1, 2, ...
# 顺序是列优先: 先y后x (即 0=A1, 1=B1, 2=C1, 3=D1, 4=A2, 5=B2, ...)
sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=num_cols,
num_items_y=num_rows,
dx=start_x,
dy=start_y,
dz=5.0,
item_dx=tip_spacing_x,
item_dy=tip_spacing_y,
size_x=tip_diameter,
size_y=tip_diameter,
size_z=50.0, # 枪头深度
)
# 更新 sites 中每个 ResourceHolder 的名称
for k, v in sites.items():
v.name = f"{name}_{v.name}"
# 创建枪头盒载架
# 注意:不设置 category使用默认的 "bottle_carrier",这样前端会显示为完整的矩形载架
tip_box = BottleCarrier(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
sites=sites, # 直接使用数字索引的 sites
model="BIOYOND_PolymerStation_TipBox",
)
# 设置自定义属性
tip_box.barcode = barcode
tip_box.tip_count = 24 # 4行×6列
tip_box.num_items_x = num_cols
tip_box.num_items_y = num_rows
tip_box.num_items_z = 1
# ⭐ 枪头盒不需要放入子资源
# 与其他 carrier 不同,枪头盒在 Bioyond 中是一个整体
# 不需要追踪每个枪头的状态,保持为空的 ResourceHolder 即可
# 这样前端会显示24个空槽位可以用于放置枪头
return tip_box

View File

@@ -116,9 +116,7 @@ def BIOYOND_PolymerStation_TipBox(
size_z: float = 100.0, # 枪头盒高度
barcode: str = None,
):
"""创建4×6枪头盒 (24个枪头) - 使用 BottleCarrier 结构
注意:此函数已弃用,请使用 bottle_carriers.py 中的版本
"""创建4×6枪头盒 (24个枪头)
Args:
name: 枪头盒名称
@@ -128,11 +126,55 @@ def BIOYOND_PolymerStation_TipBox(
barcode: 条形码
Returns:
BottleCarrier: 包含24个枪头孔位的枪头盒载架
TipBoxCarrier: 包含24个枪头孔位的枪头盒
"""
# 重定向到 bottle_carriers.py 中的实现
from unilabos.resources.bioyond.bottle_carriers import BIOYOND_PolymerStation_TipBox as TipBox_Carrier
return TipBox_Carrier(name=name, size_x=size_x, size_y=size_y, size_z=size_z, barcode=barcode)
from pylabrobot.resources import Container, Coordinate
# 创建枪头盒容器
tip_box = Container(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
category="tip_rack",
model="BIOYOND_PolymerStation_TipBox_4x6",
)
# 设置自定义属性
tip_box.barcode = barcode
tip_box.tip_count = 24 # 4行×6列
tip_box.num_items_x = 6 # 6列
tip_box.num_items_y = 4 # 4行
# 创建24个枪头孔位 (4行×6列)
# 假设孔位间距为 9mm
tip_spacing_x = 9.0 # 列间距
tip_spacing_y = 9.0 # 行间距
start_x = 14.38 # 第一个孔位的x偏移
start_y = 11.24 # 第一个孔位的y偏移
for row in range(4): # A, B, C, D
for col in range(6): # 1-6
spot_name = f"{chr(65 + row)}{col + 1}" # A1, A2, ..., D6
x = start_x + col * tip_spacing_x
y = start_y + row * tip_spacing_y
# 创建枪头孔位容器
tip_spot = Container(
name=spot_name,
size_x=8.0, # 单个枪头孔位大小
size_y=8.0,
size_z=size_z - 10.0, # 略低于盒子高度
category="tip_spot",
)
# 添加到枪头盒
tip_box.assign_child_resource(
tip_spot,
location=Coordinate(x=x, y=y, z=0)
)
return tip_box
def BIOYOND_PolymerStation_Flask(

View File

@@ -12,9 +12,11 @@ class RegularContainer(Container):
kwargs["size_y"] = 0
if "size_z" not in kwargs:
kwargs["size_z"] = 0
if "category" not in kwargs:
kwargs["category"] = "container"
self.kwargs = kwargs
super().__init__(*args, category="container", **kwargs)
super().__init__(*args, **kwargs)
def load_state(self, state: Dict[str, Any]):
super().load_state(state)

View File

@@ -76,7 +76,7 @@ def canonicalize_nodes_data(
if sample_id:
logger.error(f"{node}的sample_id参数已弃用sample_id: {sample_id}")
for k in list(node.keys()):
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children", "pose", "extra"]:
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children", "pose", "extra", "machine_name"]:
v = node.pop(k)
node["config"][k] = v
if outer_host_node_id is not None:
@@ -288,6 +288,15 @@ def read_node_link_json(
physical_setup_graph = nx.node_link_graph(graph_data, edges="links", multigraph=False)
handle_communications(physical_setup_graph)
# Stamp machine_name on device trees only (resources are cloud-managed)
local_machine = BasicConfig.machine_name or "本地"
for tree in resource_tree_set.trees:
if tree.root_node.res_content.type != "device":
continue
for node in tree.get_all_nodes():
if not node.res_content.machine_name:
node.res_content.machine_name = local_machine
return physical_setup_graph, resource_tree_set, standardized_links
@@ -372,6 +381,15 @@ def read_graphml(graphml_file: str) -> tuple[nx.Graph, ResourceTreeSet, List[Dic
physical_setup_graph = nx.node_link_graph(graph_data, link="links", multigraph=False)
handle_communications(physical_setup_graph)
# Stamp machine_name on device trees only (resources are cloud-managed)
local_machine = BasicConfig.machine_name or "本地"
for tree in resource_tree_set.trees:
if tree.root_node.res_content.type != "device":
continue
for node in tree.get_all_nodes():
if not node.res_content.machine_name:
node.res_content.machine_name = local_machine
return physical_setup_graph, resource_tree_set, standardized_links
@@ -779,12 +797,9 @@ def resource_bioyond_to_plr(bioyond_materials: list[dict], type_mapping: Dict[st
bottle = plr_material[number] = initialize_resource(
{"name": f'{detail["name"]}_{number}', "class": reverse_type_mapping[typeName][0]}, resource_type=ResourcePLR
)
# 只有具有 tracker 属性的容器才设置液体信息(如 Bottle, Well
# ResourceHolder 等不支持液体追踪的容器跳过
if hasattr(bottle, "tracker"):
bottle.tracker.liquids = [
(detail["name"], float(detail.get("quantity", 0)) if detail.get("quantity") else 0)
]
bottle.tracker.liquids = [
(detail["name"], float(detail.get("quantity", 0)) if detail.get("quantity") else 0)
]
bottle.code = detail.get("code", "")
logger.debug(f" └─ [子物料] {detail['name']}{plr_material.name}[{number}] (类型:{typeName})")
else:
@@ -793,11 +808,9 @@ def resource_bioyond_to_plr(bioyond_materials: list[dict], type_mapping: Dict[st
# 只对有 capacity 属性的容器(液体容器)处理液体追踪
if hasattr(plr_material, 'capacity'):
bottle = plr_material[0] if plr_material.capacity > 0 else plr_material
# 确保 bottletracker 属性才设置液体信息
if hasattr(bottle, "tracker"):
bottle.tracker.liquids = [
(material["name"], float(material.get("quantity", 0)) if material.get("quantity") else 0)
]
bottle.tracker.liquids = [
(material["name"], float(material.get("quantity", 0)) if material.get("quantity") else 0)
]
plr_materials.append(plr_material)
@@ -826,29 +839,24 @@ def resource_bioyond_to_plr(bioyond_materials: list[dict], type_mapping: Dict[st
wh_name = loc.get("whName")
logger.debug(f"[物料位置] {unique_name} 尝试放置到 warehouse: {wh_name} (Bioyond坐标: x={loc.get('x')}, y={loc.get('y')}, z={loc.get('z')})")
# Bioyond坐标映射 (重要!): x→行(1=A,2=B...), y→列(1=01,2=02...), z→层(通常=1)
# 必须在warehouse映射之前先获取坐标以便后续调整
x = loc.get("x", 1) # 行号 (1-based: 1=A, 2=B, 3=C, 4=D)
y = loc.get("y", 1) # 列号 (1-based: 1=01, 2=02, 3=03...)
z = loc.get("z", 1) # 层号 (1-based, 通常为1)
# 特殊处理: Bioyond的"堆栈1"需要映射到"堆栈1左"或"堆栈1右"
# 根据列号(y)判断: 1-4映射到左侧, 5-8映射到右侧
# 根据列号(x)判断: 1-4映射到左侧, 5-8映射到右侧
if wh_name == "堆栈1":
if 1 <= y <= 4:
x_val = loc.get("x", 1)
if 1 <= x_val <= 4:
wh_name = "堆栈1左"
elif 5 <= y <= 8:
elif 5 <= x_val <= 8:
wh_name = "堆栈1右"
y = y - 4 # 调整列号: 5-8映射到1-4
else:
logger.warning(f"物料 {material['name']} 的列号 y={y} 超出范围无法映射到堆栈1左或堆栈1右")
logger.warning(f"物料 {material['name']} 的列号 x={x_val} 超出范围无法映射到堆栈1左或堆栈1右")
continue
# 特殊处理: Bioyond的"站内Tip盒堆栈"也需要进行拆分映射
if wh_name == "站内Tip盒堆栈":
if y == 1:
y_val = loc.get("y", 1)
if y_val == 1:
wh_name = "站内Tip盒堆栈(右)"
elif y in [2, 3]:
elif y_val in [2, 3]:
wh_name = "站内Tip盒堆栈(左)"
y = y - 1 # 调整列号,因为左侧仓库对应的 Bioyond y=2 实际上是它的第1列
@@ -856,6 +864,15 @@ def resource_bioyond_to_plr(bioyond_materials: list[dict], type_mapping: Dict[st
warehouse = deck.warehouses[wh_name]
logger.debug(f"[Warehouse匹配] 找到warehouse: {wh_name} (容量: {warehouse.capacity}, 行×列: {warehouse.num_items_x}×{warehouse.num_items_y})")
# Bioyond坐标映射 (重要!): x→行(1=A,2=B...), y→列(1=01,2=02...), z→层(通常=1)
x = loc.get("x", 1) # 行号 (1-based: 1=A, 2=B, 3=C, 4=D)
y = loc.get("y", 1) # 列号 (1-based: 1=01, 2=02, 3=03...)
z = loc.get("z", 1) # 层号 (1-based, 通常为1)
# 如果是右侧堆栈,需要调整列号 (5→1, 6→2, 7→3, 8→4)
if wh_name == "堆栈1右":
y = y - 4 # 将5-8映射到1-4
# 特殊处理竖向warehouse站内试剂存放堆栈、测量小瓶仓库
# 这些warehouse使用 vertical-col-major 布局
if wh_name in ["站内试剂存放堆栈", "测量小瓶仓库(测密度)"]:

View File

@@ -18,9 +18,3 @@ def register():
from unilabos.devices.liquid_handling.rviz_backend import UniLiquidHandlerRvizBackend
from unilabos.devices.liquid_handling.laiyu.backend.laiyu_v_backend import UniLiquidHandlerLaiyuBackend
# noinspection PyUnresolvedReferences
from unilabos.resources.bioyond.decks import (
BIOYOND_PolymerReactionStation_Deck,
BIOYOND_PolymerPreparationStation_Deck,
BIOYOND_YB_Deck,
)

View File

@@ -120,6 +120,7 @@ class ResourceDictType(TypedDict):
config: Dict[str, Any]
data: Dict[str, Any]
extra: Dict[str, Any]
machine_name: str
# 统一的资源字典模型parent 自动序列化为 parent_uuidchildren 不序列化
@@ -141,6 +142,7 @@ class ResourceDict(BaseModel):
config: Dict[str, Any] = Field(description="Resource configuration")
data: Dict[str, Any] = Field(description="Resource data, eg: container liquid data")
extra: Dict[str, Any] = Field(description="Extra data, eg: slot index")
machine_name: str = Field(description="Machine this resource belongs to", default="")
@field_serializer("parent_uuid")
def _serialize_parent(self, parent_uuid: Optional["ResourceDict"]):
@@ -196,22 +198,30 @@ class ResourceDictInstance(object):
self.typ = "dict"
@classmethod
def get_resource_instance_from_dict(cls, content: Dict[str, Any]) -> "ResourceDictInstance":
def get_resource_instance_from_dict(cls, content: ResourceDictType) -> "ResourceDictInstance":
"""从字典创建资源实例"""
if "id" not in content:
content["id"] = content["name"]
if "uuid" not in content:
content["uuid"] = str(uuid.uuid4())
if "description" in content and content["description"] is None:
# noinspection PyTypedDict
del content["description"]
if "model" in content and content["model"] is None:
# noinspection PyTypedDict
del content["model"]
# noinspection PyTypedDict
if "schema" in content and content["schema"] is None:
# noinspection PyTypedDict
del content["schema"]
# noinspection PyTypedDict
if "x" in content.get("position", {}):
# 说明是老版本的position格式转换成新的
# noinspection PyTypedDict
content["position"] = {"position": content["position"]}
# noinspection PyTypedDict
if not content.get("class"):
# noinspection PyTypedDict
content["class"] = ""
if not content.get("config"): # todo: 后续从后端保证字段非空
content["config"] = {}
@@ -222,16 +232,18 @@ class ResourceDictInstance(object):
if "position" in content:
pose = content.get("pose", {})
if "position" not in pose:
# noinspection PyTypedDict
if "position" in content["position"]:
# noinspection PyTypedDict
pose["position"] = content["position"]["position"]
else:
pose["position"] = {"x": 0, "y": 0, "z": 0}
pose["position"] = ResourceDictPositionObjectType(x=0, y=0, z=0)
if "size" not in pose:
pose["size"] = {
"width": content["config"].get("size_x", 0),
"height": content["config"].get("size_y", 0),
"depth": content["config"].get("size_z", 0),
}
pose["size"] = ResourceDictPositionSizeType(
width= content["config"].get("size_x", 0),
height= content["config"].get("size_y", 0),
depth= content["config"].get("size_z", 0),
)
content["pose"] = pose
try:
res_dict = ResourceDict.model_validate(content)
@@ -399,7 +411,7 @@ class ResourceTreeSet(object):
)
@classmethod
def from_plr_resources(cls, resources: List["PLRResource"], known_newly_created=False) -> "ResourceTreeSet":
def from_plr_resources(cls, resources: List["PLRResource"], known_newly_created=False, old_size=False) -> "ResourceTreeSet":
"""
从plr资源创建ResourceTreeSet
"""
@@ -411,7 +423,6 @@ class ResourceTreeSet(object):
"deck": "deck",
"tip_rack": "tip_rack",
"tip_spot": "tip_spot",
"tip": "tip", # 添加 tip 类型支持
"tube": "tube",
"bottle_carrier": "bottle_carrier",
"material_hole": "material_hole",
@@ -423,13 +434,20 @@ class ResourceTreeSet(object):
"resource_group": "resource_group",
"trash": "trash",
"plate_adapter": "plate_adapter",
"consumable": "consumable",
"tool": "tool",
"condenser": "condenser",
"crucible": "crucible",
"reagent_bottle": "reagent_bottle",
"flask": "flask",
"beaker": "beaker",
}
if source in replace_info:
return replace_info[source]
elif source is None:
return ""
else:
print("转换pylabrobot的时候出现未知类型", source)
logger.trace(f"转换pylabrobot的时候出现未知类型 {source}")
return source
def build_uuid_mapping(res: "PLRResource", uuid_list: list, parent_uuid: Optional[str] = None):
@@ -484,7 +502,7 @@ class ResourceTreeSet(object):
k: v
for k, v in d.items()
if k
not in [
not in ([
"name",
"children",
"parent_name",
@@ -495,7 +513,15 @@ class ResourceTreeSet(object):
"size_z",
"cross_section_type",
"bottom_type",
]
] if not old_size else [
"name",
"children",
"parent_name",
"location",
"rotation",
"cross_section_type",
"bottom_type",
])
},
"data": states[d["name"]],
"extra": extra,
@@ -794,7 +820,8 @@ class ResourceTreeSet(object):
if remote_root_type == "device":
# 情况1: 一级是 device
if remote_root_id not in local_device_map:
logger.warning(f"Device '{remote_root_id}' 在本地不存在,跳过该 device 下的物料同步")
if remote_root_id != "host_node":
logger.warning(f"Device '{remote_root_id}' 在本地不存在,跳过该 device 下的物料同步")
continue
local_device = local_device_map[remote_root_id]
@@ -884,7 +911,7 @@ class ResourceTreeSet(object):
return self
def dump(self) -> List[List[Dict[str, Any]]]:
def dump(self, old_position=False) -> List[List[Dict[str, Any]]]:
"""
将 ResourceTreeSet 序列化为嵌套列表格式
@@ -900,6 +927,10 @@ class ResourceTreeSet(object):
# 获取树的所有节点并序列化
tree_nodes = [node.res_content.model_dump(by_alias=True) for node in tree.get_all_nodes()]
result.append(tree_nodes)
if old_position:
for r in result:
for rr in r:
rr["position"] = rr["pose"]["position"]
return result
@classmethod

View File

@@ -11,6 +11,7 @@ from io import StringIO
from typing import Iterable, Any, Dict, Type, TypeVar, Union
import yaml
from msgcenterpy.instances.ros2_instance import ROS2MessageInstance
from pydantic import BaseModel
from dataclasses import asdict, is_dataclass
@@ -727,46 +728,9 @@ def ros_message_to_json_schema(msg_class: Any, field_name: str) -> Dict[str, Any
Returns:
对应的 JSON Schema 定义
"""
schema = {"type": "object", "properties": {}, "required": []}
# 优先使用字段名作为标题,否则使用类名
schema = ROS2MessageInstance(msg_class()).get_json_schema()
schema["title"] = field_name
# 获取消息的字段和字段类型
try:
for ind, slot_info in enumerate(msg_class._fields_and_field_types.items()):
slot_name, slot_type = slot_info
type_info = msg_class.SLOT_TYPES[ind]
field_schema = ros_field_type_to_json_schema(type_info, slot_name)
schema["properties"][slot_name] = field_schema
schema["required"].append(slot_name)
# if hasattr(msg_class, 'get_fields_and_field_types'):
# fields_and_types = msg_class.get_fields_and_field_types()
#
# for field_name, field_type in fields_and_types.items():
# # 将 ROS 字段类型转换为 JSON Schema
# field_schema = ros_field_type_to_json_schema(field_type)
#
# schema['properties'][field_name] = field_schema
# schema['required'].append(field_name)
# elif hasattr(msg_class, '__slots__') and hasattr(msg_class, '_fields_and_field_types'):
# # 直接从实例属性获取
# for field_name in msg_class.__slots__:
# # 移除前导下划线(如果有)
# clean_name = field_name[1:] if field_name.startswith('_') else field_name
#
# # 从 _fields_and_field_types 获取类型
# if clean_name in msg_class._fields_and_field_types:
# field_type = msg_class._fields_and_field_types[clean_name]
# field_schema = ros_field_type_to_json_schema(field_type)
#
# schema['properties'][clean_name] = field_schema
# schema['required'].append(clean_name)
except Exception as e:
# 如果获取字段类型失败,添加错误信息
schema["description"] = f"解析消息字段时出错: {str(e)}"
logger.error(f"解析 {msg_class.__name__} 消息字段失败: {str(e)}")
schema.pop("description")
return schema

View File

@@ -34,7 +34,8 @@ from unilabos_msgs.action import SendCmd
from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
from unilabos.config.config import BasicConfig
from unilabos.utils.decorator import get_topic_config, get_all_subscriptions
from unilabos.registry.decorators import get_topic_config
from unilabos.utils.decorator import get_all_subscriptions
from unilabos.resources.container import RegularContainer
from unilabos.resources.graphio import (
@@ -57,6 +58,7 @@ from unilabos_msgs.msg import Resource # type: ignore
from unilabos.resources.resource_tracker import (
DeviceNodeResourceTracker,
ResourceDictType,
ResourceTreeSet,
ResourceTreeInstance,
ResourceDictInstance,
@@ -194,9 +196,9 @@ class PropertyPublisher:
self._value = None
try:
self.publisher_ = node.create_publisher(msg_type, f"{name}", qos)
except AttributeError as ex:
except Exception as e:
self.node.lab_logger().error(
f"创建发布者 {name} 失败,可能由于注册表有误,类型: {msg_type},错误: {ex}\n{traceback.format_exc()}"
f"StatusError, DeviceId: {self.node.device_id} 创建发布者 {name} 失败,可能由于注册表有误,类型: {msg_type},错误: {e}"
)
self.timer = node.create_timer(self.timer_period, self.publish_property)
self.__loop = ROS2DeviceNode.get_asyncio_loop()
@@ -569,9 +571,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
future.add_done_callback(done_cb)
except ImportError:
self.lab_logger().error("Host请求添加物料时本环境并不存在pylabrobot")
res.response = get_result_info_str(traceback.format_exc(), False, {})
except Exception as e:
self.lab_logger().error("Host请求添加物料时出错")
self.lab_logger().error(traceback.format_exc())
res.response = get_result_info_str(traceback.format_exc(), False, {})
return res
# noinspection PyTypeChecker
@@ -594,6 +598,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
self.s2c_resource_tree, # type: ignore
callback_group=self.callback_group,
),
"s2c_device_manage": self.create_service(
SerialCommand,
f"/srv{self.namespace}/s2c_device_manage",
self.s2c_device_manage, # type: ignore
callback_group=self.callback_group,
),
}
# 向全局在线设备注册表添加设备信息
@@ -1062,6 +1072,48 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return res
async def s2c_device_manage(self, req: SerialCommand_Request, res: SerialCommand_Response):
"""Handle add/remove device requests from HostNode via SerialCommand."""
try:
cmd = json.loads(req.command)
action = cmd.get("action", "")
data = cmd.get("data", {})
device_id = data.get("device_id", "")
if not device_id:
res.response = json.dumps({"success": False, "error": "device_id required"})
return res
if action == "add":
result = self.create_device(device_id, data)
elif action == "remove":
result = self.destroy_device(device_id)
else:
result = {"success": False, "error": f"Unknown action: {action}"}
res.response = json.dumps(result, ensure_ascii=False)
except NotImplementedError as e:
self.lab_logger().warning(f"[DeviceManage] {e}")
res.response = json.dumps({"success": False, "error": str(e)})
except Exception as e:
self.lab_logger().error(f"[DeviceManage] Error: {e}")
res.response = json.dumps({"success": False, "error": str(e)})
return res
def create_device(self, device_id: str, config: "ResourceDictType") -> dict:
"""Create a sub-device dynamically. Override in HostNode / WorkstationNode."""
raise NotImplementedError(
f"{self.__class__.__name__} does not support dynamic device creation"
)
def destroy_device(self, device_id: str) -> dict:
"""Destroy a sub-device dynamically. Override in HostNode / WorkstationNode."""
raise NotImplementedError(
f"{self.__class__.__name__} does not support dynamic device removal"
)
async def transfer_resource_to_another(
self,
plr_resources: List["ResourcePLR"],
@@ -1204,22 +1256,40 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return self._lab_logger
def create_ros_publisher(self, attr_name, msg_type, initial_period=5.0):
"""创建ROS发布者"""
# 检测装饰器配置(支持 get_{attr_name} 方法和 @property
"""创建ROS发布者,仅当方法/属性有 @topic_config 装饰器时才创建。"""
# 检测 @topic_config 装饰器配置
topic_config = {}
driver_class = type(self.driver_instance)
# 优先检测 get_{attr_name} 方法
if hasattr(self.driver_instance, f"get_{attr_name}"):
getter_method = getattr(self.driver_instance, f"get_{attr_name}")
topic_config = get_topic_config(getter_method)
# 区分 @property 和普通方法两种情况
is_prop = hasattr(driver_class, attr_name) and isinstance(
getattr(driver_class, attr_name), property
)
# 如果没有配置,检测 @property 装饰的属性
if is_prop:
# @property: 检测 fget 上的 @topic_config
class_attr = getattr(driver_class, attr_name)
if class_attr.fget is not None:
topic_config = get_topic_config(class_attr.fget)
else:
# 普通方法: 直接检测 attr_name 方法上的 @topic_config
if hasattr(self.driver_instance, attr_name):
method = getattr(self.driver_instance, attr_name)
if callable(method):
topic_config = get_topic_config(method)
# 没有 @topic_config 装饰器则跳过发布
if not topic_config:
driver_class = type(self.driver_instance)
if hasattr(driver_class, attr_name):
class_attr = getattr(driver_class, attr_name)
if isinstance(class_attr, property) and class_attr.fget is not None:
topic_config = get_topic_config(class_attr.fget)
return
# 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
cfg_name = topic_config.get("name")
if cfg_name:
publish_name = cfg_name
elif attr_name.startswith("get_"):
publish_name = attr_name[4:]
else:
publish_name = attr_name
# 使用装饰器配置或默认值
cfg_period = topic_config.get("period")
@@ -1232,10 +1302,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# 获取属性值的方法
def get_device_attr():
try:
if hasattr(self.driver_instance, f"get_{attr_name}"):
return getattr(self.driver_instance, f"get_{attr_name}")()
else:
if is_prop:
return getattr(self.driver_instance, attr_name)
else:
return getattr(self.driver_instance, attr_name)()
except AttributeError as ex:
if ex.args[0].startswith(f"AttributeError: '{self.driver_instance.__class__.__name__}' object"):
self.lab_logger().error(
@@ -1247,8 +1317,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
self.lab_logger().error(traceback.format_exc())
self._property_publishers[attr_name] = PropertyPublisher(
self, attr_name, get_device_attr, msg_type, period, print_publish, qos
self._property_publishers[publish_name] = PropertyPublisher(
self, publish_name, get_device_attr, msg_type, period, print_publish, qos
)
def create_ros_action_server(self, action_name, action_value_mapping):
@@ -1256,14 +1326,17 @@ class BaseROS2DeviceNode(Node, Generic[T]):
action_type = action_value_mapping["type"]
str_action_type = str(action_type)[8:-2]
self._action_servers[action_name] = ActionServer(
self,
action_type,
action_name,
execute_callback=self._create_execute_callback(action_name, action_value_mapping),
callback_group=self.callback_group,
)
try:
self._action_servers[action_name] = ActionServer(
self,
action_type,
action_name,
execute_callback=self._create_execute_callback(action_name, action_value_mapping),
callback_group=self.callback_group,
)
except Exception as e:
self.lab_logger().error(f"创建ActionServer失败Device: {self.device_id}, Action Name: {action_name}, Action Type: {action_type}, Error: {e}")
return
self.lab_logger().trace(f"发布动作: {action_name}, 类型: {str_action_type}")
def _setup_decorated_subscribers(self):

View File

@@ -4,7 +4,14 @@ import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker
from unilabos.registry.decorators import device
@device(
id="camera",
category=["camera"],
description="""VideoPublisher摄像头设备节点用于实时视频采集和流媒体发布。该设备通过OpenCV连接本地摄像头如USB摄像头、内置摄像头等定时采集视频帧并将其转换为ROS2的sensor_msgs/Image消息格式发布到视频话题。主要用于实验室自动化系统中的视觉监控、图像分析、实时观察等应用场景。支持可配置的摄像头索引、发布频率等参数。""",
)
class VideoPublisher(BaseROS2DeviceNode):
def __init__(self, device_id='video_publisher', registry_name="", device_uuid='', camera_index=0, period: float = 0.1, resource_tracker: DeviceNodeResourceTracker = None):
# 初始化BaseROS2DeviceNode使用自身作为driver_instance

View File

@@ -12,6 +12,7 @@ from geometry_msgs.msg import Point
from rclpy.action import ActionClient, get_action_server_names_and_types_by_node
from rclpy.service import Service
from typing_extensions import TypedDict
from unilabos_msgs.action import EmptyIn, StrSingleInput, ResourceCreateFromOuterEasy, ResourceCreateFromOuter
from unilabos_msgs.msg import Resource # type: ignore
from unilabos_msgs.srv import (
ResourceAdd,
@@ -23,6 +24,7 @@ from unilabos_msgs.srv import (
from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
from unique_identifier_msgs.msg import UUID
from unilabos.registry.decorators import device
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
from unilabos.registry.registry import lab_registry
from unilabos.resources.container import RegularContainer
@@ -30,6 +32,7 @@ from unilabos.resources.graphio import initialize_resource
from unilabos.resources.registry import add_schema
from unilabos.resources.resource_tracker import (
ResourceDict,
ResourceDictType,
ResourceDictInstance,
ResourceTreeSet,
ResourceTreeInstance,
@@ -65,7 +68,13 @@ class DeviceActionStatus:
class TestResourceReturn(TypedDict):
resources: List[List[ResourceDict]]
devices: List[Dict[str, Any]]
unilabos_samples: List[LabSample]
# unilabos_samples: List[LabSample]
class CreateResourceReturn(TypedDict):
created_resource_tree: List[List[ResourceDict]]
liquid_input_resource_tree: List[Dict[str, Any]]
# unilabos_samples: List[LabSample]
class TestLatencyReturn(TypedDict):
@@ -80,6 +89,7 @@ class TestLatencyReturn(TypedDict):
status: str
@device(id="host_node", category=[], description="Host Node", icon="icon_device.webp")
class HostNode(BaseROS2DeviceNode):
"""
主机节点类,负责管理设备、资源和控制器
@@ -268,44 +278,42 @@ class HostNode(BaseROS2DeviceNode):
self._action_clients: Dict[str, ActionClient] = { # 为了方便了解实际的数据类型host的默认写好
"/devices/host_node/create_resource": ActionClient(
self,
lab_registry.ResourceCreateFromOuterEasy,
ResourceCreateFromOuterEasy,
"/devices/host_node/create_resource",
callback_group=self.callback_group,
),
"/devices/host_node/create_resource_detailed": ActionClient(
self,
lab_registry.ResourceCreateFromOuter,
ResourceCreateFromOuter,
"/devices/host_node/create_resource_detailed",
callback_group=self.callback_group,
),
"/devices/host_node/test_latency": ActionClient(
self,
lab_registry.EmptyIn,
EmptyIn,
"/devices/host_node/test_latency",
callback_group=self.callback_group,
),
"/devices/host_node/test_resource": ActionClient(
self,
lab_registry.EmptyIn,
EmptyIn,
"/devices/host_node/test_resource",
callback_group=self.callback_group,
),
"/devices/host_node/_execute_driver_command": ActionClient(
self,
lab_registry.StrSingleInput,
StrSingleInput,
"/devices/host_node/_execute_driver_command",
callback_group=self.callback_group,
),
"/devices/host_node/_execute_driver_command_async": ActionClient(
self,
lab_registry.StrSingleInput,
StrSingleInput,
"/devices/host_node/_execute_driver_command_async",
callback_group=self.callback_group,
),
} # 用来存储多个ActionClient实例
self._action_value_mappings: Dict[str, Dict] = (
{}
) # device_id -> action_value_mappings(本地+远程设备统一存储)
self._action_value_mappings: Dict[str, Dict] = {} # device_id -> action_value_mappings(本地+远程设备统一存储)
self._slave_registry_configs: Dict[str, Dict] = {} # registry_name -> registry_config(含action_value_mappings)
self._goals: Dict[str, Any] = {} # 用来存储多个目标的状态
self._online_devices: Set[str] = {f"{self.namespace}/{device_id}"} # 用于跟踪在线设备
@@ -323,10 +331,18 @@ class HostNode(BaseROS2DeviceNode):
self._discover_devices()
# 初始化所有本机设备节点,多一次过滤,防止重复初始化
local_machine = BasicConfig.machine_name
for device_config in devices_config.root_nodes:
device_id = device_config.res_content.id
if device_config.res_content.type != "device":
continue
dev_machine = device_config.res_content.machine_name
if dev_machine and local_machine and dev_machine != local_machine:
self.lab_logger().info(
f"[Host Node] Device {device_id} belongs to machine '{dev_machine}', "
f"local is '{local_machine}', skipping initialization."
)
continue
if device_id not in self.devices_names:
self.initialize_device(device_id, device_config)
else:
@@ -556,7 +572,7 @@ class HostNode(BaseROS2DeviceNode):
liquid_type: list[str] = [],
liquid_volume: list[int] = [],
slot_on_deck: str = "",
):
) -> CreateResourceReturn:
# 暂不支持多对同名父子同时存在
res_creation_input = {
"id": res_id.split("/")[-1],
@@ -609,6 +625,8 @@ class HostNode(BaseROS2DeviceNode):
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res:
raise ValueError(res.get("error"))
return res
except Exception as ex:
pass
@@ -650,7 +668,12 @@ class HostNode(BaseROS2DeviceNode):
action_id = f"/devices/{device_id}/{action_name}"
if action_id not in self._action_clients:
action_type = action_value_mapping["type"]
self._action_clients[action_id] = ActionClient(self, action_type, action_id)
try:
self._action_clients[action_id] = ActionClient(self, action_type, action_id)
except Exception as e:
self.lab_logger().error(
f"创建ActionClient失败Device: {device_id}, Action Name: {action_name}, Action Type: {action_type}, Error: {e}")
continue
self.lab_logger().trace(
f"[Host Node] Created ActionClient (Local): {action_id}"
) # 子设备再创建用的是Discover发现的
@@ -1250,9 +1273,9 @@ class HostNode(BaseROS2DeviceNode):
# 用 registry_name 索引已存储的 registry_config,获取 action_value_mappings
if registry_name and registry_name in self._slave_registry_configs:
action_mappings = self._slave_registry_configs[registry_name].get(
"class", {}
).get("action_value_mappings", {})
action_mappings = (
self._slave_registry_configs[registry_name].get("class", {}).get("action_value_mappings", {})
)
if action_mappings:
self._action_value_mappings[edge_device_id] = action_mappings
self.lab_logger().info(
@@ -1272,14 +1295,19 @@ class HostNode(BaseROS2DeviceNode):
# 解析 devices_config,建立 device_id -> action_value_mappings 映射
if devices_config:
machine_name = info["machine_name"]
# Stamp machine_name on each device dict before parsing
for device_tree in devices_config:
for device_dict in device_tree:
device_dict["machine_name"] = machine_name
device_id = device_dict.get("id", "")
class_name = device_dict.get("class", "")
if device_id and class_name and class_name in self._slave_registry_configs:
action_mappings = self._slave_registry_configs[class_name].get(
"class", {}
).get("action_value_mappings", {})
action_mappings = (
self._slave_registry_configs[class_name]
.get("class", {})
.get("action_value_mappings", {})
)
if action_mappings:
self._action_value_mappings[device_id] = action_mappings
self.lab_logger().info(
@@ -1287,6 +1315,18 @@ class HostNode(BaseROS2DeviceNode):
f"for remote device {device_id} (class: {class_name})"
)
# Merge slave devices_config into self.devices_config tree
try:
slave_tree_set = ResourceTreeSet.load(devices_config) # slave一定是根节点的tree
for tree in slave_tree_set.trees:
self.devices_config.trees.append(tree)
self.lab_logger().info(
f"[Host Node] Merged {len(slave_tree_set.trees)} slave device trees "
f"(machine: {machine_name}) into devices_config"
)
except Exception as e:
self.lab_logger().error(f"[Host Node] Failed to merge slave devices_config: {e}")
self.lab_logger().debug(f"[Host Node] Node info update: {info}")
response.response = "OK"
except Exception as e:
@@ -1695,3 +1735,177 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().error(f"[Host Node-Resource] Error notifying resource tree update: {str(e)}")
self.lab_logger().error(traceback.format_exc())
return False
# ------------------------------------------------------------------
# Device lifecycle (add / remove) — pure forwarder
# ------------------------------------------------------------------
def notify_device_manage(self, target_node_id: str, action: str, config: ResourceDictType) -> bool:
"""Forward an add/remove device command to the target node via ROS2 SerialCommand.
The HostNode does NOT interpret the command; it simply resolves the
target namespace and forwards the request to ``s2c_device_manage``.
If *target_node_id* equals the HostNode's own device_id (i.e. the
command targets the host itself), we call our local ``create_device``
/ ``destroy_device`` directly instead of going through ROS2.
"""
try:
# If the target is the host itself, handle locally
device_id = config["id"]
if target_node_id == self.device_id:
if action == "add":
return self.create_device(device_id, config).get("success", False)
elif action == "remove":
return self.destroy_device(device_id).get("success", False)
if target_node_id not in self.devices_names:
self.lab_logger().error(
f"[Host Node-DeviceMgr] Target {target_node_id} not found in devices_names"
)
return False
namespace = self.devices_names[target_node_id]
device_key = f"{namespace}/{target_node_id}"
if device_key not in self._online_devices:
self.lab_logger().error(f"[Host Node-DeviceMgr] Target {device_key} is offline")
return False
srv_address = f"/srv{namespace}/s2c_device_manage"
self.lab_logger().info(
f"[Host Node-DeviceMgr] Forwarding {action}_device to {target_node_id} ({srv_address})"
)
sclient = self.create_client(SerialCommand, srv_address)
if not sclient.wait_for_service(timeout_sec=5.0):
self.lab_logger().error(f"[Host Node-DeviceMgr] Service {srv_address} not available")
return False
request = SerialCommand.Request()
request.command = json.dumps({"action": action, "data": config}, ensure_ascii=False)
future = sclient.call_async(request)
timeout = 30.0
start_time = time.time()
while not future.done():
if time.time() - start_time > timeout:
self.lab_logger().error(
f"[Host Node-DeviceMgr] Timeout waiting for {action}_device on {target_node_id}"
)
return False
time.sleep(0.05)
response = future.result()
self.lab_logger().info(
f"[Host Node-DeviceMgr] {action}_device on {target_node_id} completed"
)
return True
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Error: {e}")
self.lab_logger().error(traceback.format_exc())
return False
def create_device(self, device_id: str, config: ResourceDictType) -> dict:
"""Dynamically create a root-level device on the host."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id in self.devices_names:
return {"success": False, "error": f"Device {device_id} already exists"}
try:
config.setdefault("id", device_id)
config.setdefault("type", "device")
config.setdefault("machine_name", BasicConfig.machine_name or "本地")
res_dict = ResourceDictInstance.get_resource_instance_from_dict(config)
self.initialize_device(device_id, res_dict)
if device_id not in self.devices_names:
return {"success": False, "error": f"initialize_device failed for {device_id}"}
# Add to config tree (devices_config)
tree = ResourceTreeInstance(res_dict)
self.devices_config.trees.append(tree)
# Add to resource tracker so s2c_resource_tree can find it
try:
for plr_resource in ResourceTreeSet([tree]).to_plr_resources():
self._resource_tracker.add_resource(plr_resource)
except Exception as ex:
self.lab_logger().warning(f"[Host Node-DeviceMgr] PLR resource registration skipped: {ex}")
self.lab_logger().info(f"[Host Node-DeviceMgr] Device {device_id} created successfully")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Failed to create {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def destroy_device(self, device_id: str) -> dict:
"""Remove a root-level device from the host."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id not in self.devices_names:
return {"success": False, "error": f"Device {device_id} not found"}
if device_id == self.device_id:
return {"success": False, "error": "Cannot destroy host_node itself"}
try:
namespace = self.devices_names[device_id]
device_key = f"{namespace}/{device_id}"
# Remove action clients
action_prefix = f"/devices/{device_id}/"
to_remove = [k for k in self._action_clients if k.startswith(action_prefix)]
for k in to_remove:
try:
self._action_clients[k].destroy()
except Exception:
pass
del self._action_clients[k]
# Remove from config tree (devices_config)
self.devices_config.trees = [
t for t in self.devices_config.trees
if t.root_node.res_content.id != device_id
]
# Remove from resource tracker
try:
tracked = self._resource_tracker.uuid_to_resources.copy()
for uid, res in tracked.items():
res_id = res.get("id") if isinstance(res, dict) else getattr(res, "name", None)
if res_id == device_id:
self._resource_tracker.remove_resource(res)
except Exception as ex:
self.lab_logger().warning(f"[Host Node-DeviceMgr] Resource tracker cleanup: {ex}")
# Clean internal state
self._online_devices.discard(device_key)
self.devices_names.pop(device_id, None)
self.device_machine_names.pop(device_id, None)
self._action_value_mappings.pop(device_id, None)
# Destroy the ROS2 node of the device
instance = self.devices_instances.pop(device_id, None)
if instance is not None:
try:
# noinspection PyProtectedMember
ros_node = getattr(instance, "_ros_node", None)
if ros_node is not None:
ros_node.destroy_node()
except Exception as e:
self.lab_logger().warning(f"[Host Node-DeviceMgr] Error destroying ROS node for {device_id}: {e}")
self.lab_logger().info(f"[Host Node-DeviceMgr] Device {device_id} destroyed")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Failed to destroy {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}

View File

@@ -20,7 +20,7 @@ from unilabos.ros.msgs.message_converter import (
convert_from_ros_msg_with_mapping,
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode
from unilabos.resources.resource_tracker import ResourceTreeSet, ResourceDictInstance
from unilabos.resources.resource_tracker import ResourceDictType, ResourceTreeSet, ResourceDictInstance
from unilabos.utils.type_check import get_result_info_str
if TYPE_CHECKING:
@@ -177,6 +177,103 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
self.lab_logger().trace(f"为子设备 {device_id} 创建动作客户端: {action_name}")
return d
def create_device(self, device_id: str, config: ResourceDictType) -> dict:
"""Dynamically add a sub-device to this workstation."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id in self.sub_devices:
return {"success": False, "error": f"Sub-device {device_id} already exists"}
try:
from unilabos.config.config import BasicConfig
config.setdefault("id", device_id)
config.setdefault("type", "device")
config.setdefault("machine_name", BasicConfig.machine_name or "本地")
res_dict = ResourceDictInstance.get_resource_instance_from_dict(config)
d = self.initialize_device(device_id, res_dict)
if d is None:
return {"success": False, "error": f"initialize_device returned None for {device_id}"}
# Add to children config list
self.children.append(res_dict)
# Add to resource tracker
try:
from unilabos.resources.resource_tracker import ResourceTreeInstance
tree = ResourceTreeInstance(res_dict)
for plr_resource in ResourceTreeSet([tree]).to_plr_resources():
self.resource_tracker.add_resource(plr_resource)
except Exception as ex:
self.lab_logger().warning(f"[Workstation-DeviceMgr] PLR resource registration skipped: {ex}")
self.lab_logger().info(f"[Workstation-DeviceMgr] Sub-device {device_id} created")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Workstation-DeviceMgr] Failed to create {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def destroy_device(self, device_id: str) -> dict:
"""Dynamically remove a sub-device from this workstation."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id not in self.sub_devices:
return {"success": False, "error": f"Sub-device {device_id} not found"}
try:
# Remove from children config list
self.children = [
c for c in self.children
if c.res_content.id != device_id
]
# Remove from resource tracker
try:
tracked = self.resource_tracker.uuid_to_resources.copy()
for uid, res in tracked.items():
res_id = res.get("id") if isinstance(res, dict) else getattr(res, "name", None)
if res_id == device_id:
self.resource_tracker.remove_resource(res)
except Exception as ex:
self.lab_logger().warning(f"[Workstation-DeviceMgr] Resource tracker cleanup: {ex}")
# Remove action clients for this sub-device
action_prefix = f"/devices/{device_id}/"
to_remove = [k for k in self._action_clients if k.startswith(action_prefix)]
for k in to_remove:
try:
self._action_clients[k].destroy()
except Exception:
pass
del self._action_clients[k]
# Destroy the ROS2 node
instance = self.sub_devices.pop(device_id, None)
if instance is not None:
ros_node = getattr(instance, "ros_node_instance", None)
if ros_node is not None:
try:
ros_node.destroy_node()
except Exception as e:
self.lab_logger().warning(
f"[Workstation-DeviceMgr] Error destroying ROS node for {device_id}: {e}"
)
# Remove from communication map if present
self.communication_node_id_to_instance.pop(device_id, None)
self.lab_logger().info(f"[Workstation-DeviceMgr] Sub-device {device_id} destroyed")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Workstation-DeviceMgr] Failed to destroy {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def create_ros_action_server(self, action_name, action_value_mapping):
"""创建ROS动作服务器"""
if action_name not in self.protocol_names:

View File

@@ -1,29 +0,0 @@
{
"nodes": [
{
"id": "Liquid_Sensor_1",
"name": "XKC Sensor",
"children": [],
"parent": null,
"type": "device",
"class": "sensor.xkc_rs485",
"position": {
"x": 0,
"y": 0,
"z": 0
},
"config": {
"port": "/dev/tty.usbserial-3110",
"baudrate": 9600,
"device_id": 1,
"threshold": 300,
"timeout": 3.0
},
"data": {
"level": false,
"rssi": 0
}
}
],
"links": []
}

View File

@@ -1,28 +0,0 @@
{
"nodes": [
{
"id": "ZDT_Motor",
"name": "ZDT Motor",
"children": [],
"parent": null,
"type": "device",
"class": "motor.zdt_x42",
"position": {
"x": 0,
"y": 0,
"z": 0
},
"config": {
"port": "/dev/tty.usbserial-3110",
"baudrate": 115200,
"device_id": 1,
"debug": true
},
"data": {
"position": 0,
"status": "idle"
}
}
],
"links": []
}

View File

@@ -19,74 +19,6 @@ def singleton(cls):
return get_instance
def topic_config(
period: Optional[float] = None,
print_publish: Optional[bool] = None,
qos: Optional[int] = None,
) -> Callable[[F], F]:
"""
Topic发布配置装饰器
用于装饰 get_{attr_name} 方法或 @property控制对应属性的ROS topic发布行为。
Args:
period: 发布周期。None 表示使用默认值 5.0
print_publish: 是否打印发布日志。None 表示使用节点默认配置
qos: QoS深度配置。None 表示使用默认值 10
Example:
class MyDriver:
# 方式1: 装饰 get_{attr_name} 方法
@topic_config(period=1.0, print_publish=False, qos=5)
def get_temperature(self):
return self._temperature
# 方式2: 与 @property 连用topic_config 放在下面)
@property
@topic_config(period=0.1)
def position(self):
return self._position
Note:
与 @property 连用时,@topic_config 必须放在 @property 下面,
这样装饰器执行顺序为:先 topic_config 添加配置,再 property 包装。
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加配置属性 (type: ignore 用于动态属性)
wrapper._topic_period = period # type: ignore[attr-defined]
wrapper._topic_print_publish = print_publish # type: ignore[attr-defined]
wrapper._topic_qos = qos # type: ignore[attr-defined]
wrapper._has_topic_config = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
return decorator
def get_topic_config(func) -> dict:
"""
获取函数上的topic配置
Args:
func: 被装饰的函数
Returns:
包含 period, print_publish, qos 的配置字典
"""
if hasattr(func, "_has_topic_config") and getattr(func, "_has_topic_config", False):
return {
"period": getattr(func, "_topic_period", None),
"print_publish": getattr(func, "_topic_print_publish", None),
"qos": getattr(func, "_topic_qos", None),
}
return {}
def subscribe(
topic: str,
msg_type: Optional[type] = None,
@@ -104,24 +36,6 @@ def subscribe(
- {namespace}: 完整命名空间 (如 "/devices/pump_1")
msg_type: ROS 消息类型。如果为 None需要在回调函数的类型注解中指定
qos: QoS 深度配置,默认为 10
Example:
from std_msgs.msg import String, Float64
class MyDriver:
@subscribe(topic="/devices/{device_id}/set_speed", msg_type=Float64)
def on_speed_update(self, msg: Float64):
self._speed = msg.data
print(f"Speed updated to: {self._speed}")
@subscribe(topic="{namespace}/command")
def on_command(self, msg: String):
# msg_type 可从类型注解推断
self.execute_command(msg.data)
Note:
- 回调方法的第一个参数是 self第二个参数是收到的 ROS 消息
- topic 中的占位符会在创建订阅时被实际值替换
"""
def decorator(func: F) -> F:
@@ -129,7 +43,6 @@ def subscribe(
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加订阅配置
wrapper._subscribe_topic = topic # type: ignore[attr-defined]
wrapper._subscribe_msg_type = msg_type # type: ignore[attr-defined]
wrapper._subscribe_qos = qos # type: ignore[attr-defined]
@@ -141,15 +54,7 @@ def subscribe(
def get_subscribe_config(func) -> dict:
"""
获取函数上的订阅配置
Args:
func: 被装饰的函数
Returns:
包含 topic, msg_type, qos 的配置字典
"""
"""获取函数上的订阅配置 (topic, msg_type, qos)"""
if hasattr(func, "_has_subscribe") and getattr(func, "_has_subscribe", False):
return {
"topic": getattr(func, "_subscribe_topic", None),
@@ -163,9 +68,6 @@ def get_all_subscriptions(instance) -> list:
"""
扫描实例的所有方法,获取带有 @subscribe 装饰器的方法及其配置
Args:
instance: 要扫描的实例
Returns:
包含 (method_name, method, config) 元组的列表
"""
@@ -184,92 +86,14 @@ def get_all_subscriptions(instance) -> list:
return subscriptions
def always_free(func: F) -> F:
"""
标记动作为永久闲置(不受busy队列限制)的装饰器
被此装饰器标记的 action 方法,在执行时不会受到设备级别的排队限制,
任何时候请求都可以立即执行。适用于查询类、状态读取类等轻量级操作。
Example:
class MyDriver:
@always_free
def query_status(self, param: str):
# 这个动作可以随时执行,不需要排队
return self._status
def transfer(self, volume: float):
# 这个动作会按正常排队逻辑执行
pass
Note:
- 可以与其他装饰器组合使用,@always_free 应放在最外层
- 仅影响 WebSocket 调度层的 busy/free 判断,不影响 ROS2 层
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper._is_always_free = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_always_free(func) -> bool:
"""
检查函数是否被标记为永久闲置
Args:
func: 被检查的函数
Returns:
如果函数被 @always_free 装饰则返回 True否则返回 False
"""
return getattr(func, "_is_always_free", False)
def not_action(func: F) -> F:
"""
标记方法为非动作的装饰器
用于装饰 driver 类中的方法,使其在 complete_registry 时不被识别为动作。
适用于辅助方法、内部工具方法等不应暴露为设备动作的公共方法。
Example:
class MyDriver:
@not_action
def helper_method(self):
# 这个方法不会被注册为动作
pass
def actual_action(self, param: str):
# 这个方法会被注册为动作
self.helper_method()
Note:
- 可以与其他装饰器组合使用,@not_action 应放在最外层
- 仅影响 complete_registry 的动作识别,不影响方法的正常调用
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加标记
wrapper._is_not_action = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_not_action(func) -> bool:
"""
检查函数是否被标记为非动作
Args:
func: 被检查的函数
Returns:
如果函数被 @not_action 装饰则返回 True否则返回 False
"""
return getattr(func, "_is_not_action", False)
# ---------------------------------------------------------------------------
# 向后兼容重导出 -- 已迁移到 unilabos.registry.decorators
# ---------------------------------------------------------------------------
from unilabos.registry.decorators import ( # noqa: E402, F401
topic_config,
get_topic_config,
always_free,
is_always_free,
not_action,
is_not_action,
)

View File

@@ -22,6 +22,7 @@ class EnvironmentChecker:
# "pymodbus.framer.FramerType": "pymodbus==3.9.2",
"websockets": "websockets",
"msgcenterpy": "msgcenterpy",
"orjson": "orjson",
"opentrons_shared_data": "opentrons_shared_data",
"typing_extensions": "typing_extensions",
"crcmod": "crcmod-plus",
@@ -32,7 +33,7 @@ class EnvironmentChecker:
# 包版本要求(包名: 最低版本)
self.version_requirements = {
"msgcenterpy": "0.1.5", # msgcenterpy 最低版本要求
"msgcenterpy": "0.1.7", # msgcenterpy 最低版本要求
}
self.missing_packages = []

View File

@@ -29,7 +29,7 @@ from ast import Constant
from unilabos.resources.resource_tracker import PARAM_SAMPLE_UUIDS
from unilabos.utils import logger
from unilabos.utils.decorator import is_not_action, is_always_free
from unilabos.registry.decorators import is_not_action, is_always_free
class ImportManager:
@@ -481,10 +481,16 @@ class ImportManager:
return False
def _is_always_free_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@always_free装饰的方法"""
"""检查是否是@always_free装饰的方法,或 @action(always_free=True) 装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Name) and decorator.id == "always_free":
return True
# 检查 @action(always_free=True)
if isinstance(decorator, ast.Call):
func = decorator.func
if isinstance(func, ast.Name) and func.id == "action":
for keyword in decorator.keywords:
if keyword.arg == "always_free":
if isinstance(keyword.value, Constant) and keyword.value.value is True:
return True
return False
def _get_property_name_from_setter(self, node: ast.FunctionDef) -> str:

View File

@@ -217,7 +217,6 @@ def configure_logger(loglevel=None, working_dir=None):
return log_filepath
# 配置日志系统
configure_logger()

View File

@@ -1,7 +1,8 @@
networkx
typing_extensions
websockets
msgcenterpy>=0.1.5
msgcenterpy>=0.1.7
orjson>=3.11
opentrons_shared_data
pint
fastapi