Merge branch 'dev' into feat/lab_resource

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q434343
2026-03-25 19:48:39 +08:00
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"""
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, NodeType,
)
@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)
class NodeType(str, Enum):
"""动作的节点类型(用于区分 ILab 节点和人工确认节点等)"""
ILAB = "ILab"
MANUAL_CONFIRM = "manual_confirm"
# ---------------------------------------------------------------------------
# Device / Resource Handle (设备/资源级别端口, 序列化时包含 io_type)
# ---------------------------------------------------------------------------
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,
node_type: Optional["NodeType"] = None,
):
"""
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
node_type: 动作的节点类型 (NodeType.ILAB / NodeType.MANUAL_CONFIRM)。
不填写时不写入注册表。
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 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,
}
if node_type is not None:
meta["node_type"] = node_type.value if isinstance(node_type, NodeType) else str(node_type)
wrapper._action_registry_meta = meta # type: ignore[attr-defined]
# 设置 _is_always_free 保持与旧 @always_free 装饰器兼容
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()
# ---------------------------------------------------------------------------
# 枚举值归一化
# ---------------------------------------------------------------------------
def normalize_enum_value(raw: Any, enum_cls) -> Optional[str]:
"""将 AST 提取的枚举成员名 / YAML 值字符串 / 旧格式长路径统一归一化为枚举值。
适用于 Side、DataSource、NodeType 等继承自 ``str, Enum`` 的装饰器枚举。
处理以下格式:
- "MANUAL_CONFIRM" → NodeType["MANUAL_CONFIRM"].value = "manual_confirm"
- "manual_confirm" → NodeType("manual_confirm").value = "manual_confirm"
- "HANDLE" → DataSource["HANDLE"].value = "handle"
- "NORTH" → Side["NORTH"].value = "NORTH"
- 旧缓存长路径 "unilabos...NodeType.MANUAL_CONFIRM" → 先 rsplit 再查找
"""
if not raw:
return None
raw_str = str(raw)
if "." in raw_str:
raw_str = raw_str.rsplit(".", 1)[-1]
try:
return enum_cls[raw_str].value
except KeyError:
pass
try:
return enum_cls(raw_str).value
except ValueError:
return raw_str
# ---------------------------------------------------------------------------
# topic_config / not_action / always_free 装饰器
# ---------------------------------------------------------------------------
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)