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Author SHA1 Message Date
Junhan Chang
9862415655 Update test_model_upload.py 2026-03-25 09:24:51 +08:00
Junhan Chang
18296d3cb2 Update model_upload.py 2026-03-25 08:55:21 +08:00
Junhan Chang
090d5c5cb5 feat(app): 模型上传与注册增强 — normalize_model、upload_model_package、backend client
- model_upload.py: normalize_model_package 标准化模型目录 + upload_model_package 上传到后端
- register.py: 设备注册时自动检测并上传本地模型文件
- web/client.py: BackendClient 新增 get_model_upload_urls/publish_model/update_template_model
- tests: test_model_upload.py、test_normalize_model.py 单元测试

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 23:02:18 +08:00
Junhan Chang
48e13a7b4d P1 Edge: 关节桥接重构 — 直接订阅 /joint_states + 资源跟随 + 吞吐优化
- HostNode 直接订阅 /joint_states (JointStateMsg),绕过 JointRepublisher 中间人
- 新增 resource_pose 订阅,实现资源夹取跟随 (gripper attach/detach)
- 吞吐优化:死区过滤 (1e-4 rad)、抑频 (~20Hz)、增量 resource_poses
- JointRepublisher 修复 str→json.dumps (E1)
- communication.py 新增 publish_joint_state 抽象方法
- ws_client.py 实现 push_joint_state action 发送
- 57 项测试覆盖:关节分组、资源跟随、同类型多设备、优化行为

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-24 06:32:30 +08:00
103 changed files with 5332 additions and 14069 deletions

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---
name: add-workstation
description: Guide for adding new workstations to Uni-Lab-OS (接入新工作站). Uses @device decorator + AST auto-scanning. Walks through workstation type, sub-device composition, driver creation, deck setup, and graph file. Use when the user wants to add a workstation, create a workstation driver, configure a station with sub-devices, or mentions 工作站/工站/station/workstation.
---
# Uni-Lab-OS 工作站接入指南
工作站workstation是组合多个子设备的大型设备拥有独立的物料管理系统和工作流引擎。使用 `@device` 装饰器注册AST 自动扫描生成注册表。
---
## 工作站类型
| 类型 | 基类 | 适用场景 |
| ------------------- | ----------------- | ---------------------------------- |
| **Protocol 工作站** | `ProtocolNode` | 标准化学操作协议(泵转移、过滤等) |
| **外部系统工作站** | `WorkstationBase` | 与外部 LIMS/MES 对接 |
| **硬件控制工作站** | `WorkstationBase` | 直接控制 PLC/硬件 |
---
## @device 装饰器(工作站)
工作站也使用 `@device` 装饰器注册,参数与普通设备一致:
```python
@device(
id="my_workstation", # 注册表唯一标识(必填)
category=["workstation"], # 分类标签
description="我的工作站",
)
```
如果一个工作站类支持多个具体变体,可使用 `ids` / `id_meta`,与设备的用法相同(参见 add-device SKILL
---
## 工作站驱动模板
### 模板 A基于外部系统的工作站
```python
import logging
from typing import Dict, Any, Optional
from pylabrobot.resources import Deck
from unilabos.registry.decorators import device, topic_config, not_action
from unilabos.devices.workstation.workstation_base import WorkstationBase
try:
from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
except ImportError:
ROS2WorkstationNode = None
@device(id="my_workstation", category=["workstation"], description="我的工作站")
class MyWorkstation(WorkstationBase):
_ros_node: "ROS2WorkstationNode"
def __init__(self, config=None, deck=None, protocol_type=None, **kwargs):
super().__init__(deck=deck, **kwargs)
self.config = config or {}
self.logger = logging.getLogger("MyWorkstation")
self.api_host = self.config.get("api_host", "")
self._status = "Idle"
@not_action
def post_init(self, ros_node: "ROS2WorkstationNode"):
super().post_init(ros_node)
self._ros_node = ros_node
async def scheduler_start(self, **kwargs) -> Dict[str, Any]:
"""注册为工作站动作"""
return {"success": True}
async def create_order(self, json_str: str, **kwargs) -> Dict[str, Any]:
"""注册为工作站动作"""
return {"success": True}
@property
@topic_config()
def workflow_sequence(self) -> str:
return "[]"
@property
@topic_config()
def material_info(self) -> str:
return "{}"
```
### 模板 BProtocol 工作站
直接使用 `ProtocolNode`,通常不需要自定义驱动类:
```python
from unilabos.devices.workstation.workstation_base import ProtocolNode
```
在图文件中配置 `protocol_type` 即可。
---
## 子设备访问sub_devices
工站初始化子设备后,所有子设备实例存储在 `self._ros_node.sub_devices` 字典中key 为设备 idvalue 为 `ROS2DeviceNode` 实例)。工站的驱动类可以直接获取子设备实例来调用其方法:
```python
# 在工站驱动类的方法中访问子设备
sub = self._ros_node.sub_devices["pump_1"]
# .driver_instance — 子设备的驱动实例(即设备 Python 类的实例)
sub.driver_instance.some_method(arg1, arg2)
# .ros_node_instance — 子设备的 ROS2 节点实例
sub.ros_node_instance._action_value_mappings # 查看子设备支持的 action
```
**常见用法**
```python
class MyWorkstation(WorkstationBase):
def my_protocol(self, **kwargs):
# 获取子设备驱动实例
pump = self._ros_node.sub_devices["pump_1"].driver_instance
heater = self._ros_node.sub_devices["heater_1"].driver_instance
# 直接调用子设备方法
pump.aspirate(volume=100)
heater.set_temperature(80)
```
> 参考实现:`unilabos/devices/workstation/bioyond_studio/reaction_station/reaction_station.py` 中通过 `self._ros_node.sub_devices.get(reactor_id)` 获取子反应器实例并更新数据。
---
## 硬件通信接口hardware_interface
硬件控制型工作站通常需要通过串口Serial、Modbus 等通信协议控制多个子设备。Uni-Lab-OS 通过 **通信设备代理** 机制实现端口共享:一个串口只创建一个 `serial` 节点,多个子设备共享这个通信实例。
### 工作原理
`ROS2WorkstationNode` 初始化时分两轮遍历子设备(`workstation.py`
**第一轮 — 初始化所有子设备**:按 `children` 顺序调用 `initialize_device()`,通信设备(`serial_` / `io_` 开头的 id优先完成初始化创建 `serial.Serial()` 实例。其他子设备此时 `self.hardware_interface = "serial_pump"`(字符串)。
**第二轮 — 代理替换**:遍历所有已初始化的子设备,读取子设备的 `_hardware_interface` 配置:
```
hardware_interface = d.ros_node_instance._hardware_interface
# → {"name": "hardware_interface", "read": "send_command", "write": "send_command"}
```
1.`name` 字段对应的属性值:`name_value = getattr(driver, hardware_interface["name"])`
- 如果 `name_value` 是字符串且该字符串是某个子设备的 id → 触发代理替换
2. 从通信设备获取真正的 `read`/`write` 方法
3.`setattr(driver, read_method, _read)` 将通信设备的方法绑定到子设备上
因此:
- **通信设备 id 必须与子设备 config 中填的字符串完全一致**(如 `"serial_pump"`
- **通信设备 id 必须以 `serial_``io_` 开头**(否则第一轮不会被识别为通信设备)
- **通信设备必须在 `children` 列表中排在最前面**,确保先初始化
### HardwareInterface 参数说明
```python
from unilabos.registry.decorators import HardwareInterface
HardwareInterface(
name="hardware_interface", # __init__ 中接收通信实例的属性名
read="send_command", # 通信设备上暴露的读方法名
write="send_command", # 通信设备上暴露的写方法名
extra_info=["list_ports"], # 可选:额外暴露的方法
)
```
**`name` 字段的含义**:对应设备类 `__init__` 中,用于保存通信实例的**属性名**。系统据此知道要替换哪个属性。大部分设备直接用 `"hardware_interface"`,也可以自定义(如 `"io_device_port"`)。
### 示例 1name="hardware_interface"
```python
from unilabos.registry.decorators import device, HardwareInterface
@device(
id="my_pump",
category=["pump_and_valve"],
hardware_interface=HardwareInterface(
name="hardware_interface",
read="send_command",
write="send_command",
),
)
class MyPump:
def __init__(self, port=None, address="1", **kwargs):
# name="hardware_interface" → 系统替换 self.hardware_interface
self.hardware_interface = port # 初始为字符串 "serial_pump",启动后被替换为 Serial 实例
self.address = address
def send_command(self, command: str):
full_command = f"/{self.address}{command}\r\n"
self.hardware_interface.write(bytearray(full_command, "ascii"))
return self.hardware_interface.read_until(b"\n")
```
### 示例 2电磁阀name="io_device_port",自定义属性名)
```python
@device(
id="solenoid_valve",
category=["pump_and_valve"],
hardware_interface=HardwareInterface(
name="io_device_port", # 自定义属性名 → 系统替换 self.io_device_port
read="read_io_coil",
write="write_io_coil",
),
)
class SolenoidValve:
def __init__(self, io_device_port: str = None, **kwargs):
# name="io_device_port" → 图文件 config 中用 "io_device_port": "io_board_1"
self.io_device_port = io_device_port # 初始为字符串,系统替换为 Modbus 实例
```
### Serial 通信设备class="serial"
`serial` 是 Uni-Lab-OS 内置的通信代理设备,代码位于 `unilabos/ros/nodes/presets/serial_node.py`
```python
from serial import Serial, SerialException
from threading import Lock
class ROS2SerialNode(BaseROS2DeviceNode):
def __init__(self, device_id, registry_name, port: str, baudrate: int = 9600, **kwargs):
self.port = port
self.baudrate = baudrate
self._hardware_interface = {
"name": "hardware_interface",
"write": "send_command",
"read": "read_data",
}
self._query_lock = Lock()
self.hardware_interface = Serial(baudrate=baudrate, port=port)
BaseROS2DeviceNode.__init__(
self, driver_instance=self, registry_name=registry_name,
device_id=device_id, status_types={}, action_value_mappings={},
hardware_interface=self._hardware_interface, print_publish=False,
)
self.create_service(SerialCommand, "serialwrite", self.handle_serial_request)
def send_command(self, command: str):
with self._query_lock:
self.hardware_interface.write(bytearray(f"{command}\n", "ascii"))
return self.hardware_interface.read_until(b"\n").decode()
def read_data(self):
with self._query_lock:
return self.hardware_interface.read_until(b"\n").decode()
```
在图文件中使用 `"class": "serial"` 即可创建串口代理:
```json
{
"id": "serial_pump",
"class": "serial",
"parent": "my_station",
"config": { "port": "COM7", "baudrate": 9600 }
}
```
### 图文件配置
**通信设备必须在 `children` 列表中排在最前面**,确保先于其他子设备初始化:
```json
{
"nodes": [
{
"id": "my_station",
"class": "workstation",
"children": ["serial_pump", "pump_1", "pump_2"],
"config": { "protocol_type": ["PumpTransferProtocol"] }
},
{
"id": "serial_pump",
"class": "serial",
"parent": "my_station",
"config": { "port": "COM7", "baudrate": 9600 }
},
{
"id": "pump_1",
"class": "syringe_pump_with_valve.runze.SY03B-T08",
"parent": "my_station",
"config": { "port": "serial_pump", "address": "1", "max_volume": 25.0 }
},
{
"id": "pump_2",
"class": "syringe_pump_with_valve.runze.SY03B-T08",
"parent": "my_station",
"config": { "port": "serial_pump", "address": "2", "max_volume": 25.0 }
}
],
"links": [
{
"source": "pump_1",
"target": "serial_pump",
"type": "communication",
"port": { "pump_1": "port", "serial_pump": "port" }
},
{
"source": "pump_2",
"target": "serial_pump",
"type": "communication",
"port": { "pump_2": "port", "serial_pump": "port" }
}
]
}
```
### 通信协议速查
| 协议 | config 参数 | 依赖包 | 通信设备 class |
| -------------------- | ------------------------------ | ---------- | -------------------------- |
| Serial (RS232/RS485) | `port`, `baudrate` | `pyserial` | `serial` |
| Modbus RTU | `port`, `baudrate`, `slave_id` | `pymodbus` | `device_comms/modbus_plc/` |
| Modbus TCP | `host`, `port`, `slave_id` | `pymodbus` | `device_comms/modbus_plc/` |
| TCP Socket | `host`, `port` | stdlib | 自定义 |
| HTTP API | `url`, `token` | `requests` | `device_comms/rpc.py` |
参考实现:`unilabos/test/experiments/Grignard_flow_batchreact_single_pumpvalve.json`
---
## Deck 与物料生命周期
### 1. Deck 入参与两种初始化模式
系统根据设备节点 `config.deck` 的写法,自动反序列化 Deck 实例后传入 `__init__``deck` 参数。目前 `deck` 是固定字段名,只支持一个主 Deck。建议一个设备拥有一个台面台面上抽象二级、三级子物料。
有两种初始化模式:
#### init 初始化(推荐)
`config.deck` 直接包含 `_resource_type` + `_resource_child_name`,系统先用 Deck 节点的 `config` 调用 Deck 类的 `__init__` 反序列化,再将实例传入设备的 `deck` 参数。子物料随 Deck 的 `children` 一起反序列化。
```json
"config": {
"deck": {
"_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
"_resource_child_name": "PRCXI_Deck"
}
}
```
#### deserialize 初始化
`config.deck``data` 包裹一层,系统走 `deserialize` 路径,可传入更多参数(如 `allow_marshal` 等):
```json
"config": {
"deck": {
"data": {
"_resource_child_name": "YB_Bioyond_Deck",
"_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_YB_Deck"
}
}
}
```
没有特殊需求时推荐 init 初始化。
#### config.deck 字段说明
| 字段 | 说明 |
|------|------|
| `_resource_type` | Deck 类的完整模块路径(`module:ClassName` |
| `_resource_child_name` | 对应图文件中 Deck 节点的 `id`,建立父子关联 |
#### 设备 __init__ 接收
```python
def __init__(self, config=None, deck=None, protocol_type=None, **kwargs):
super().__init__(deck=deck, **kwargs)
# deck 已经是反序列化后的 Deck 实例
# → PRCXI9300Deck / BIOYOND_YB_Deck 等
```
#### Deck 节点(图文件中)
Deck 节点作为设备的 `children` 之一,`parent` 指向设备 id
```json
{
"id": "PRCXI_Deck",
"parent": "PRCXI",
"type": "deck",
"class": "",
"children": [],
"config": {
"type": "PRCXI9300Deck",
"size_x": 542, "size_y": 374, "size_z": 0,
"category": "deck",
"sites": [...]
},
"data": {}
}
```
- `config` 中的字段会传入 Deck 类的 `__init__`(因此 `__init__` 必须能接受所有 `serialize()` 输出的字段)
- `children` 初始为空时,由同步器或手动初始化填充
- `config.type` 填 Deck 类名
### 2. Deck 为空时自行初始化
如果 Deck 节点的 `children` 为空,工作站需在 `post_init` 或首次同步时自行初始化内容:
```python
@not_action
def post_init(self, ros_node):
super().post_init(ros_node)
if self.deck and not self.deck.children:
self._initialize_default_deck()
def _initialize_default_deck(self):
from my_labware import My_TipRack, My_Plate
self.deck.assign_child_resource(My_TipRack("T1"), spot=0)
self.deck.assign_child_resource(My_Plate("T2"), spot=1)
```
### 3. 物料双向同步
当工作站对接外部系统LIMS/MES需要实现 `ResourceSynchronizer` 处理双向物料同步:
```python
from unilabos.devices.workstation.workstation_base import ResourceSynchronizer
class MyResourceSynchronizer(ResourceSynchronizer):
def sync_from_external(self) -> bool:
"""从外部系统同步到 self.workstation.deck"""
external_data = self._query_external_materials()
# 以外部工站为准:根据外部数据反向创建 PLR 资源实例
for item in external_data:
cls = self._resolve_resource_class(item["type"])
resource = cls(name=item["name"], **item["params"])
self.workstation.deck.assign_child_resource(resource, spot=item["slot"])
return True
def sync_to_external(self, resource) -> bool:
"""将 UniLab 侧物料变更同步到外部系统"""
# 以 UniLab 为准:将 PLR 资源转为外部格式并推送
external_format = self._convert_to_external(resource)
return self._push_to_external(external_format)
def handle_external_change(self, change_info) -> bool:
"""处理外部系统主动推送的变更"""
return True
```
同步策略取决于业务场景:
- **以外部工站为准**:从外部 API 查询物料数据,反向创建对应的 PLR 资源实例放到 Deck 上
- **以 UniLab 为准**UniLab 侧的物料变更通过 `sync_to_external` 推送到外部系统
在工作站 `post_init` 中初始化同步器:
```python
@not_action
def post_init(self, ros_node):
super().post_init(ros_node)
self.resource_synchronizer = MyResourceSynchronizer(self)
self.resource_synchronizer.sync_from_external()
```
### 4. 序列化与持久化serialize / serialize_state
资源类需正确实现序列化,系统据此完成持久化和前端同步。
**`serialize()`** — 输出资源的结构信息(`config` 层),反序列化时作为 `__init__` 的入参回传。因此 **`__init__` 必须通过 `**kwargs`接受`serialize()` 输出的所有字段\*\*,即使当前不使用:
```python
class MyDeck(Deck):
def __init__(self, name, size_x, size_y, size_z,
sites=None, # serialize() 输出的字段
rotation=None, # serialize() 输出的字段
barcode=None, # serialize() 输出的字段
**kwargs): # 兜底:接受所有未知的 serialize 字段
super().__init__(size_x, size_y, size_z, name)
# ...
def serialize(self) -> dict:
data = super().serialize()
data["sites"] = [...] # 自定义字段
return data
```
**`serialize_state()`** — 输出资源的运行时状态(`data` 层),用于持久化可变信息。`data` 中的内容会被正确保存和恢复:
```python
class MyPlate(Plate):
def __init__(self, name, size_x, size_y, size_z,
material_info=None, **kwargs):
super().__init__(name, size_x, size_y, size_z, **kwargs)
self._unilabos_state = {}
if material_info:
self._unilabos_state["Material"] = material_info
def serialize_state(self) -> Dict[str, Any]:
data = super().serialize_state()
data.update(self._unilabos_state)
return data
```
关键要点:
- `serialize()` 输出的所有字段都会作为 `config` 回传到 `__init__`,所以 `__init__` 必须能接受它们(显式声明或 `**kwargs`
- `serialize_state()` 输出的 `data` 用于持久化运行时状态(如物料信息、液体量等)
- `_unilabos_state` 中只存可 JSON 序列化的基本类型str, int, float, bool, list, dict, None
### 5. 子物料自动同步
子物料Bottle、Plate、TipRack 等)放到 Deck 上后,系统会自动将其同步到前端的 Deck 视图。只需保证资源类正确实现了 `serialize()` / `serialize_state()` 和反序列化即可。
### 6. 图文件配置(参考 prcxi_9320_slim.json
```json
{
"nodes": [
{
"id": "my_station",
"type": "device",
"class": "my_workstation",
"config": {
"deck": {
"_resource_type": "unilabos.resources.my_module:MyDeck",
"_resource_child_name": "my_deck"
},
"host": "10.20.30.1",
"port": 9999
}
},
{
"id": "my_deck",
"parent": "my_station",
"type": "deck",
"class": "",
"children": [],
"config": {
"type": "MyLabDeck",
"size_x": 542,
"size_y": 374,
"size_z": 0,
"category": "deck",
"sites": [
{
"label": "T1",
"visible": true,
"occupied_by": null,
"position": { "x": 0, "y": 0, "z": 0 },
"size": { "width": 128.0, "height": 86, "depth": 0 },
"content_type": ["plate", "tip_rack", "tube_rack", "adaptor"]
}
]
},
"data": {}
}
],
"edges": []
}
```
Deck 节点要点:
- `config.type` 填 Deck 类名(如 `"PRCXI9300Deck"`
- `config.sites` 完整列出所有 site从 Deck 类的 `serialize()` 输出获取)
- `children` 初始为空(由同步器或手动初始化填充)
- 设备节点 `config.deck._resource_type` 指向 Deck 类的完整模块路径
---
## 子设备
子设备按标准设备接入流程创建(参见 add-device SKILL使用 `@device` 装饰器。
子设备约束:
- 图文件中 `parent` 指向工作站 ID
- 在工作站 `children` 数组中列出
---
## 关键规则
1. **`__init__` 必须接受 `deck``**kwargs`** — `WorkstationBase.**init**`需要`deck` 参数
2. **Deck 通过 `config.deck._resource_type` 反序列化传入** — 不要在 `__init__` 中手动创建 Deck
3. **Deck 为空时自行初始化内容** — 在 `post_init` 中检查并填充默认物料
4. **外部同步实现 `ResourceSynchronizer`**`sync_from_external` / `sync_to_external`
5. **通过 `self._children` 访问子设备** — 不要自行维护子设备引用
6. **`post_init` 中启动后台服务** — 不要在 `__init__` 中启动网络连接
7. **异步方法使用 `await self._ros_node.sleep()`** — 禁止 `time.sleep()``asyncio.sleep()`
8. **使用 `@not_action` 标记非动作方法**`post_init`, `initialize`, `cleanup`
9. **子物料保证正确 serialize/deserialize** — 系统自动同步到前端 Deck 视图
---
## 验证
```bash
# 模块可导入
python -c "from unilabos.devices.workstation.<name>.<name> import <ClassName>"
# 启动测试AST 自动扫描)
unilab -g <graph>.json
```
---
## 现有工作站参考
| 工作站 | 驱动类 | 类型 |
| -------------- | ----------------------------- | -------- |
| Protocol 通用 | `ProtocolNode` | Protocol |
| Bioyond 反应站 | `BioyondReactionStation` | 外部系统 |
| 纽扣电池组装 | `CoinCellAssemblyWorkstation` | 硬件控制 |
参考路径:`unilabos/devices/workstation/` 目录下各工作站实现。

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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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@@ -1,261 +0,0 @@
---
name: batch-insert-reagent
description: Batch insert reagents into Uni-Lab platform — add chemicals with CAS, SMILES, supplier info. Use when the user wants to add reagents, insert chemicals, batch register reagents, or mentions 录入试剂/添加试剂/试剂入库/reagent.
---
# 批量录入试剂 Skill
通过云端 API 批量录入试剂信息,支持逐条或批量操作。
## 前置条件(缺一不可)
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
生成 AUTH token任选一种方式
```bash
# 方式一Python 一行生成
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
# 方式二:手动计算
# base64(ak:sk) → Authorization: Lab <token>
```
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
```
**两项全部就绪后才可发起 API 请求。**
## Session State
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
## 请求约定
所有请求使用 `curl -s`POST 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
### 2. 录入试剂
```bash
curl -s -X POST "$BASE/api/v1/lab/reagent" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{
"lab_uuid": "<lab_uuid>",
"cas": "<CAS号>",
"name": "<试剂名称>",
"molecular_formula": "<分子式>",
"smiles": "<SMILES>",
"stock_in_quantity": <入库数量>,
"unit": "<单位字符串>",
"supplier": "<供应商>",
"production_date": "<生产日期 ISO 8601>",
"expiry_date": "<过期日期 ISO 8601>"
}'
```
返回成功时包含试剂 UUID
```json
{"code": 0, "data": {"uuid": "xxx", ...}}
```
---
## 试剂字段说明
| 字段 | 类型 | 必填 | 说明 | 示例 |
| ------------------- | ------ | ---- | ----------------------------- | ------------------------ |
| `lab_uuid` | string | 是 | 实验室 UUID从 API #1 获取) | `"8511c672-..."` |
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
| `production_date` | string | 否 | 生产日期ISO 8601 | `"2025-11-18T00:00:00Z"` |
| `expiry_date` | string | 否 | 过期日期ISO 8601 | `"2026-11-18T00:00:00Z"` |
### unit 单位值
| 值 | 单位 |
| ------ | ---- |
| `"mL"` | 毫升 |
| `"L"` | 升 |
| `"g"` | 克 |
| `"kg"` | 千克 |
| `"瓶"` | 瓶 |
> 根据试剂状态选择:液体用 `"mL"` / `"L"`,固体用 `"g"` / `"kg"`。
---
## 批量录入策略
### 方式一:用户提供 JSON 数组
用户一次性给出多条试剂数据:
```json
[
{
"cas": "7732-18-3",
"name": "水",
"molecular_formula": "H2O",
"smiles": "O",
"stock_in_quantity": 10,
"unit": "mL"
},
{
"cas": "64-17-5",
"name": "乙醇",
"molecular_formula": "C2H6O",
"smiles": "CCO",
"stock_in_quantity": 5,
"unit": "L"
}
]
```
Agent 自动为每条补充 `lab_uuid``production_date``expiry_date` 等字段后逐条提交。
Agent 循环调用 API #2 逐条录入,每条记录一次 API 调用。
### 方式二:用户逐个描述
用户口头描述试剂(如「帮我录入 500mL 的无水乙醇Sigma 的」agent 自行补全字段:
1. 根据名称查找 CAS 号、分子式、SMILES参考下方速查表或自行推断
2. 构建完整的请求体
3. 向用户确认后提交
### 方式三:从 CSV/表格批量导入
用户提供 CSV 或表格文件路径agent 读取并解析:
```bash
# 期望的 CSV 格式(首行为表头)
cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_date,expiry_date
7732-18-3,水,H2O,O,10,mL,农夫山泉,2025-11-18T00:00:00Z,2026-11-18T00:00:00Z
```
### 日期格式规则(重要)
所有日期字段(`production_date``expiry_date`**必须**使用 ISO 8601 完整格式:`YYYY-MM-DDTHH:MM:SSZ`
- 用户输入 `2025-03-01` → 转换为 `"2025-03-01T00:00:00Z"`
- 用户输入 `2025/9/1` → 转换为 `"2025-09-01T00:00:00Z"`
- 用户未提供日期 → 使用当天日期 + `T00:00:00Z`,有效期默认 +1 年
**禁止**发送不带时间部分的日期字符串(如 `"2025-03-01"`API 会拒绝。
### 执行与汇报
每次 API 调用后:
1. 检查返回 `code`0 = 成功)
2. 记录成功/失败数量
3. 全部完成后汇总:「共录入 N 条试剂,成功 X 条,失败 Y 条」
4. 如有失败,列出失败的试剂名称和错误信息
---
## 常见试剂速查表
| 名称 | CAS | 分子式 | SMILES |
| --------------------- | --------- | ---------- | ------------------------------------ |
| 水 | 7732-18-3 | H2O | O |
| 乙醇 | 64-17-5 | C2H6O | CCO |
| 乙酸 | 64-19-7 | C2H4O2 | CC(O)=O |
| 甲醇 | 67-56-1 | CH4O | CO |
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
| 乙腈 | 75-05-8 | C2H3N | CC#N |
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
| 盐酸 | 7647-01-0 | HCl | Cl |
| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
> 此表仅供快速参考。对于不在表中的试剂agent 应根据化学知识推断或提示用户补充。
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: 收集试剂信息(用户提供列表/逐个描述/CSV文件
- [ ] Step 5: 补全缺失字段CAS、分子式、SMILES 等)
- [ ] Step 6: 向用户确认待录入的试剂列表
- [ ] Step 7: 循环调用 POST /lab/reagent 逐条录入(每条需含 lab_uuid
- [ ] Step 8: 汇总结果(成功/失败数量及详情)
```
---
## 完整示例
用户说:「帮我录入 3 种试剂500mL 无水乙醇、1kg 氯化钠、2L 去离子水」
Agent 构建的请求序列:
```json
// 第 1 条
{"lab_uuid": "8511c672-...", "cas": "64-17-5", "name": "无水乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 500, "unit": "mL", "supplier": "国药集团", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
// 第 2 条
{"lab_uuid": "8511c672-...", "cas": "7647-14-5", "name": "氯化钠", "molecular_formula": "NaCl", "smiles": "[Na]Cl", "stock_in_quantity": 1, "unit": "kg", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
// 第 3 条
{"lab_uuid": "8511c672-...", "cas": "7732-18-3", "name": "去离子水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 2, "unit": "L", "supplier": "", "production_date": "2025-01-01T00:00:00Z", "expiry_date": "2026-01-01T00:00:00Z"}
```

View File

@@ -1,360 +0,0 @@
---
name: batch-submit-experiment
description: Batch submit experiments (notebooks) to the Uni-Lab cloud platform (leap-lab) — list workflows, generate node_params from registry schemas, submit multiple rounds, check notebook status. Use when the user wants to submit experiments, create notebooks, batch run workflows, check experiment status, or mentions 提交实验/批量实验/notebook/实验轮次/实验状态.
---
# Uni-Lab 批量提交实验指南
通过 Uni-Lab 云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
## 前置条件(缺一不可)
使用本指南前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
生成 AUTH token任选一种方式
```bash
# 方式一Python 一行生成注意scheme 是 "Lab" 不是 "Basic"
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
# 方式二:手动计算
# base64(ak:sk) → Authorization: Lab <token>
# ⚠️ 这里的 "Lab" 是 Uni-Lab 平台的 auth scheme绝对不能用 "Basic" 替代
```
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
# ⚠️ Auth scheme 必须是 "Lab"Uni-Lab 专用),不是 "Basic"
AUTH="Authorization: Lab <上面命令输出的 token>"
```
### 3. req_device_registry_upload.json设备注册表
**批量提交实验时需要本地注册表来解析 workflow 节点的参数 schema。**
**必须先用 Glob 工具搜索文件**,不要直接猜测路径:
```
Glob: **/req_device_registry_upload.json
```
常见位置(仅供参考,以 Glob 实际结果为准):
- `<workspace>/unilabos_data/req_device_registry_upload.json`
- `<workspace>/req_device_registry_upload.json`
找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`
**如果 Glob 搜索无结果** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
### 4. workflow_uuid目标工作流
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #3 列出可用 workflow 供选择。
**四项全部就绪后才可开始。**
## Session State
在整个对话过程中agent 需要记住以下状态,避免重复询问用户:
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `project_uuid` — 项目 UUID通过 API #2 列出项目列表,**让用户选择**
- `workflow_uuid` — 工作流 UUID用户提供或从列表选择
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #4 获取)
## 请求约定
所有请求使用 `curl -s`POST 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
>
> **PowerShell JSON 传参**PowerShell 中 `-d '{"key":"value"}'` 会因引号转义失败。请将 JSON 写入临时文件,用 `-d '@tmp_body.json'`(单引号包裹 `@`,否则会被解析为 splatting 运算符)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
### 2. 列出实验室项目(让用户选择项目)
```bash
curl -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
```
返回:
```json
{
"code": 0,
"data": {
"items": [
{
"uuid": "1b3f249a-...",
"name": "bt",
"description": null,
"status": "active",
"created_at": "2026-04-09T14:31:28+08:00"
},
{
"uuid": "b6366243-...",
"name": "default",
"description": "默认项目",
"status": "active",
"created_at": "2026-03-26T11:13:36+08:00"
}
]
}
}
```
展示 `data.items[]` 中每个项目的 `name``uuid`,让用户选择。用户**必须**选择一个项目,记住 `project_uuid`(即选中项目的 `uuid`),后续创建 notebook 时需要提供。
### 3. 列出可用 workflow
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
```
返回 workflow 列表,展示给用户选择。列出每个 workflow 的 `uuid``name`
### 4. 获取 workflow 模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
返回 workflow 的完整结构,包含所有 action 节点信息。需要从响应中提取:
- 每个 action 节点的 `node_uuid`
- 每个节点对应的设备 ID`resource_template_name`
- 每个节点的动作名(`node_template_name`
- 每个节点的现有参数(`param`
> **注意**:此 API 返回格式可能因版本不同而有差异。首次调用时,先打印完整响应分析结构,再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
### 5. 提交实验(创建 notebook
```bash
curl -s -X POST "$BASE/api/v1/lab/notebook" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体结构:
```json
{
"lab_uuid": "<lab_uuid>",
"project_uuid": "<project_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
}
]
}
```
> **注意**`sample_uuids` 必须是 **UUID 数组**`[]uuid.UUID`),不是字符串。无样品时传空数组 `[]`。
### 6. 查询 notebook 状态
提交成功后,使用返回的 notebook UUID 查询执行状态:
```bash
curl -s -X GET "$BASE/api/v1/lab/notebook/status?uuid=$notebook_uuid" -H "$AUTH"
```
提交后应**立即查询一次**状态,确认 notebook 已被正确接收并开始调度。
---
## Notebook 请求体详解
### node_params 结构
`node_params` 是一个数组,**每个元素代表一轮实验**
- 要跑 2 轮 → `node_params` 有 2 个元素
- 要跑 N 轮 → `node_params` 有 N 个元素
### 每轮的字段
| 字段 | 类型 | 说明 |
| -------------- | ------------- | ----------------------------------------- |
| `sample_uuids` | array\<uuid\> | 该轮实验的样品 UUID 数组,无样品时传 `[]` |
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
### datas 中每个节点
| 字段 | 类型 | 说明 |
| --------------- | ------ | -------------------------------------------- |
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #4 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
### sample_params 中每条
| 字段 | 类型 | 说明 |
| ---------------- | ------ | ---------------------------------------------------- |
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
---
## 从本地注册表生成 param 模板
### 自动方式 — 运行脚本
```bash
python scripts/gen_notebook_params.py \
--auth <token> \
--base <BASE_URL> \
--workflow-uuid <workflow_uuid> \
[--registry <path/to/req_device_registry_upload.json>] \
[--rounds <轮次数>] \
[--output <输出文件路径>]
```
> 脚本位于本文档同级目录下的 `scripts/gen_notebook_params.py`。
脚本会:
1. 调用 workflow detail API 获取所有 action 节点
2. 读取本地注册表,为每个节点查找对应的 action schema
3. 生成 `notebook_template.json`,包含:
- 完整 `node_params` 骨架
- 每个节点的 param 字段及类型说明
- `_schema_info` 辅助信息(不提交,仅供参考)
### 手动方式
如果脚本不可用或注册表不存在:
1. 调用 API #4 获取 workflow 详情
2. 找到每个 action 节点的 `node_uuid`
3. 在本地注册表中查找对应设备的 `action_value_mappings`
```
resources[].id == <device_id>
→ resources[].class.action_value_mappings.<action_name>.schema.properties.goal.properties
```
4. 将 schema 中的 properties 作为 `param` 的字段模板
5. 按轮次复制 `node_params` 元素,让用户填写每轮的具体值
### 注册表结构参考
```json
{
"resources": [
{
"id": "liquid_handler.prcxi",
"class": {
"module": "unilabos.devices.xxx:ClassName",
"action_value_mappings": {
"transfer_liquid": {
"type": "LiquidHandlerTransfer",
"schema": {
"properties": {
"goal": {
"properties": {
"asp_vols": {
"type": "array",
"items": { "type": "number" }
},
"sources": { "type": "array" }
},
"required": ["asp_vols", "sources"]
}
}
},
"goal_default": {}
}
}
}
}
]
}
```
`param` 填写时,使用 `goal.properties` 中的字段名和类型。
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: GET /lab/project/list → 列出项目,让用户选择 → 获取 project_uuid
- [ ] Step 5: 确认 workflow_uuid用户提供或从 GET #3 列表选择)
- [ ] Step 6: GET workflow detail (#4) → 提取各节点 uuid、设备ID、动作名
- [ ] Step 7: 定位本地注册表 req_device_registry_upload.json
- [ ] Step 8: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
- [ ] Step 9: 引导用户填写每轮的参数sample_uuids、param、sample_params
- [ ] Step 10: 构建完整请求体(含 project_uuid→ POST /lab/notebook 提交
- [ ] Step 11: 检查返回结果,记录 notebook UUID
- [ ] Step 12: GET /lab/notebook/status → 查询 notebook 状态,确认已调度
```
---
## 常见问题
### Q: workflow 中有多个节点,每轮都要填所有节点的参数吗?
是的。`datas` 数组中需要包含该轮实验涉及的每个 workflow 节点的参数。通常每个 action 节点都需要一条 `datas` 记录。
### Q: 多轮实验的参数完全不同吗?
通常每轮的 `param`(设备动作参数)可能相同或相似,但 `sample_uuids` 和 `sample_params`(样品信息)每轮不同。脚本生成模板时会按轮次复制骨架,用户只需修改差异部分。
### Q: 如何获取 sample_uuids 和 container_uuid
这些 UUID 通常来自实验室的样品管理系统。向用户询问或从资源树API `GET /lab/material/download/$lab_uuid`)中查找。

View File

@@ -1,395 +0,0 @@
#!/usr/bin/env python3
"""
从 workflow 模板详情 + 本地设备注册表生成 notebook 提交用的 node_params 模板。
用法:
python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]
选项:
--auth <token> Lab tokenbase64(ak:sk) 的结果,不含 "Lab " 前缀)
--base <url> API 基础 URL如 https://leap-lab.test.bohrium.com
--workflow-uuid <uuid> 目标 workflow 的 UUID
--registry <path> 本地注册表文件路径(默认自动搜索)
--rounds <n> 实验轮次数(默认 1
--output <path> 输出模板文件路径(默认 notebook_template.json
--dump-response 打印 workflow detail API 的原始响应(调试用)
示例:
python gen_notebook_params.py \\
--auth YTFmZDlkNGUtxxxx \\
--base https://leap-lab.test.bohrium.com \\
--workflow-uuid abc-123-def \\
--rounds 2
"""
import copy
import json
import os
import sys
from datetime import datetime
from urllib.request import Request, urlopen
from urllib.error import HTTPError, URLError
REGISTRY_FILENAME = "req_device_registry_upload.json"
def find_registry(explicit_path=None):
"""查找本地注册表文件,逻辑同 extract_device_actions.py"""
if explicit_path:
if os.path.isfile(explicit_path):
return explicit_path
if os.path.isdir(explicit_path):
fp = os.path.join(explicit_path, REGISTRY_FILENAME)
if os.path.isfile(fp):
return fp
print(f"警告: 指定的注册表路径不存在: {explicit_path}")
return None
candidates = [
os.path.join("unilabos_data", REGISTRY_FILENAME),
REGISTRY_FILENAME,
]
for c in candidates:
if os.path.isfile(c):
return c
script_dir = os.path.dirname(os.path.abspath(__file__))
workspace_root = os.path.normpath(os.path.join(script_dir, "..", "..", ".."))
for c in candidates:
path = os.path.join(workspace_root, c)
if os.path.isfile(path):
return path
cwd = os.getcwd()
for _ in range(5):
parent = os.path.dirname(cwd)
if parent == cwd:
break
cwd = parent
for c in candidates:
path = os.path.join(cwd, c)
if os.path.isfile(path):
return path
return None
def load_registry(path):
with open(path, "r", encoding="utf-8") as f:
return json.load(f)
def build_registry_index(registry_data):
"""构建 device_id → action_value_mappings 的索引"""
index = {}
for res in registry_data.get("resources", []):
rid = res.get("id", "")
avm = res.get("class", {}).get("action_value_mappings", {})
if rid and avm:
index[rid] = avm
return index
def flatten_goal_schema(action_data):
"""从 action_value_mappings 条目中提取 goal 层的 schema"""
schema = action_data.get("schema", {})
goal_schema = schema.get("properties", {}).get("goal", {})
return goal_schema if goal_schema else schema
def build_param_template(goal_schema):
"""根据 goal schema 生成 param 模板,含类型标注"""
properties = goal_schema.get("properties", {})
required = set(goal_schema.get("required", []))
template = {}
for field_name, field_def in properties.items():
if field_name == "unilabos_device_id":
continue
ftype = field_def.get("type", "any")
default = field_def.get("default")
if default is not None:
template[field_name] = default
elif ftype == "string":
template[field_name] = f"$TODO ({ftype}, {'required' if field_name in required else 'optional'})"
elif ftype == "number" or ftype == "integer":
template[field_name] = 0
elif ftype == "boolean":
template[field_name] = False
elif ftype == "array":
template[field_name] = []
elif ftype == "object":
template[field_name] = {}
else:
template[field_name] = f"$TODO ({ftype})"
return template
def fetch_workflow_detail(base_url, auth_token, workflow_uuid):
"""调用 workflow detail API"""
url = f"{base_url}/api/v1/lab/workflow/template/detail/{workflow_uuid}"
req = Request(url, method="GET")
req.add_header("Authorization", f"Lab {auth_token}")
try:
with urlopen(req, timeout=30) as resp:
return json.loads(resp.read().decode("utf-8"))
except HTTPError as e:
body = e.read().decode("utf-8", errors="replace")
print(f"API 错误 {e.code}: {body}")
return None
except URLError as e:
print(f"网络错误: {e.reason}")
return None
def extract_nodes_from_response(response):
"""
从 workflow detail 响应中提取 action 节点列表。
适配多种可能的响应格式。
返回: [(node_uuid, resource_template_name, node_template_name, existing_param), ...]
"""
data = response.get("data", response)
search_keys = ["nodes", "workflow_nodes", "node_list", "steps"]
nodes_raw = None
for key in search_keys:
if key in data and isinstance(data[key], list):
nodes_raw = data[key]
break
if nodes_raw is None:
if isinstance(data, list):
nodes_raw = data
else:
for v in data.values():
if isinstance(v, list) and len(v) > 0 and isinstance(v[0], dict):
nodes_raw = v
break
if not nodes_raw:
print("警告: 未能从响应中提取节点列表")
print("响应顶层 keys:", list(data.keys()) if isinstance(data, dict) else type(data).__name__)
return []
result = []
for node in nodes_raw:
if not isinstance(node, dict):
continue
node_uuid = (
node.get("uuid")
or node.get("node_uuid")
or node.get("id")
or ""
)
resource_name = (
node.get("resource_template_name")
or node.get("device_id")
or node.get("resource_name")
or node.get("device_name")
or ""
)
template_name = (
node.get("node_template_name")
or node.get("action_name")
or node.get("template_name")
or node.get("action")
or node.get("name")
or ""
)
existing_param = node.get("param", {}) or {}
if node_uuid:
result.append((node_uuid, resource_name, template_name, existing_param))
return result
def generate_template(nodes, registry_index, rounds):
"""生成 notebook 提交模板"""
node_params = []
schema_info = {}
datas_template = []
for node_uuid, resource_name, template_name, existing_param in nodes:
param_template = {}
matched = False
if resource_name and template_name and resource_name in registry_index:
avm = registry_index[resource_name]
if template_name in avm:
goal_schema = flatten_goal_schema(avm[template_name])
param_template = build_param_template(goal_schema)
goal_default = avm[template_name].get("goal_default", {})
if goal_default:
for k, v in goal_default.items():
if k in param_template and v is not None:
param_template[k] = v
matched = True
schema_info[node_uuid] = {
"device_id": resource_name,
"action_name": template_name,
"action_type": avm[template_name].get("type", ""),
"schema_properties": list(goal_schema.get("properties", {}).keys()),
"required": goal_schema.get("required", []),
}
if not matched and existing_param:
param_template = existing_param
if not matched and not existing_param:
schema_info[node_uuid] = {
"device_id": resource_name,
"action_name": template_name,
"warning": "未在本地注册表中找到匹配的 action schema",
}
datas_template.append({
"node_uuid": node_uuid,
"param": param_template,
"sample_params": [
{
"container_uuid": "$TODO_CONTAINER_UUID",
"sample_value": {
"liquid_names": "$TODO_LIQUID_NAME",
"volumes": 0,
},
}
],
})
for i in range(rounds):
node_params.append({
"sample_uuids": f"$TODO_SAMPLE_UUID_ROUND_{i + 1}",
"datas": copy.deepcopy(datas_template),
})
return {
"lab_uuid": "$TODO_LAB_UUID",
"project_uuid": "$TODO_PROJECT_UUID",
"workflow_uuid": "$TODO_WORKFLOW_UUID",
"name": "$TODO_EXPERIMENT_NAME",
"node_params": node_params,
"_schema_info仅参考提交时删除": schema_info,
}
def parse_args(argv):
"""简单的参数解析"""
opts = {
"auth": None,
"base": None,
"workflow_uuid": None,
"registry": None,
"rounds": 1,
"output": "notebook_template.json",
"dump_response": False,
}
i = 0
while i < len(argv):
arg = argv[i]
if arg == "--auth" and i + 1 < len(argv):
opts["auth"] = argv[i + 1]
i += 2
elif arg == "--base" and i + 1 < len(argv):
opts["base"] = argv[i + 1].rstrip("/")
i += 2
elif arg == "--workflow-uuid" and i + 1 < len(argv):
opts["workflow_uuid"] = argv[i + 1]
i += 2
elif arg == "--registry" and i + 1 < len(argv):
opts["registry"] = argv[i + 1]
i += 2
elif arg == "--rounds" and i + 1 < len(argv):
opts["rounds"] = int(argv[i + 1])
i += 2
elif arg == "--output" and i + 1 < len(argv):
opts["output"] = argv[i + 1]
i += 2
elif arg == "--dump-response":
opts["dump_response"] = True
i += 1
else:
print(f"未知参数: {arg}")
i += 1
return opts
def main():
opts = parse_args(sys.argv[1:])
if not opts["auth"] or not opts["base"] or not opts["workflow_uuid"]:
print("用法:")
print(" python gen_notebook_params.py --auth <token> --base <url> --workflow-uuid <uuid> [选项]")
print()
print("必需参数:")
print(" --auth <token> Lab tokenbase64(ak:sk)")
print(" --base <url> API 基础 URL")
print(" --workflow-uuid <uuid> 目标 workflow UUID")
print()
print("可选参数:")
print(" --registry <path> 注册表文件路径(默认自动搜索)")
print(" --rounds <n> 实验轮次数(默认 1")
print(" --output <path> 输出文件路径(默认 notebook_template.json")
print(" --dump-response 打印 API 原始响应")
sys.exit(1)
# 1. 查找并加载本地注册表
registry_path = find_registry(opts["registry"])
registry_index = {}
if registry_path:
mtime = os.path.getmtime(registry_path)
gen_time = datetime.fromtimestamp(mtime).strftime("%Y-%m-%d %H:%M:%S")
print(f"注册表: {registry_path} (生成时间: {gen_time})")
registry_data = load_registry(registry_path)
registry_index = build_registry_index(registry_data)
print(f"已索引 {len(registry_index)} 个设备的 action schemas")
else:
print("警告: 未找到本地注册表,将跳过 param 模板生成")
print(" 提交时需要手动填写各节点的 param 字段")
# 2. 获取 workflow 详情
print(f"\n正在获取 workflow 详情: {opts['workflow_uuid']}")
response = fetch_workflow_detail(opts["base"], opts["auth"], opts["workflow_uuid"])
if not response:
print("错误: 无法获取 workflow 详情")
sys.exit(1)
if opts["dump_response"]:
print("\n=== API 原始响应 ===")
print(json.dumps(response, indent=2, ensure_ascii=False)[:5000])
print("=== 响应结束(截断至 5000 字符) ===\n")
# 3. 提取节点
nodes = extract_nodes_from_response(response)
if not nodes:
print("错误: 未能从 workflow 中提取任何 action 节点")
print("请使用 --dump-response 查看原始响应结构")
sys.exit(1)
print(f"\n找到 {len(nodes)} 个 action 节点:")
print(f" {'节点 UUID':<40} {'设备 ID':<30} {'动作名':<25} {'Schema'}")
print(" " + "-" * 110)
for node_uuid, resource_name, template_name, _ in nodes:
matched = "" if (resource_name in registry_index and
template_name in registry_index.get(resource_name, {})) else ""
print(f" {node_uuid:<40} {resource_name:<30} {template_name:<25} {matched}")
# 4. 生成模板
template = generate_template(nodes, registry_index, opts["rounds"])
template["workflow_uuid"] = opts["workflow_uuid"]
output_path = opts["output"]
with open(output_path, "w", encoding="utf-8") as f:
json.dump(template, f, indent=2, ensure_ascii=False)
print(f"\n模板已写入: {output_path}")
print(f" 轮次数: {opts['rounds']}")
print(f" 节点数/轮: {len(nodes)}")
print()
print("下一步:")
print(" 1. 打开模板文件,将 $TODO 占位符替换为实际值")
print(" 2. 删除 _schema_info 字段(仅供参考)")
print(" 3. 使用 POST /api/v1/lab/notebook 提交")
if __name__ == "__main__":
main()

View File

@@ -40,13 +40,13 @@ python ./scripts/gen_auth.py --config <config.py>
决定 API 请求发往哪个服务器。从启动命令的 `--addr` 参数获取:
| `--addr` | BASE URL |
| -------------- | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
| 其他自定义 URL | 直接使用该 URL |
| `--addr` 值 | BASE URL |
|-------------|----------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
| 其他自定义 URL | 直接使用该 URL |
#### 必备项 ③req_device_registry_upload.json设备注册表
@@ -54,11 +54,11 @@ python ./scripts/gen_auth.py --config <config.py>
**推断 working_dir**(即 `unilabos_data` 所在目录):
| 条件 | working_dir 取值 |
| -------------------- | -------------------------------------------------------- |
| 条件 | working_dir 取值 |
|------|------------------|
| 传了 `--working_dir` | `<working_dir>/unilabos_data/`(若子目录已存在则直接用) |
| 仅传了 `--config` | `<config 文件所在目录>/unilabos_data/` |
| 都没传 | `<当前工作目录>/unilabos_data/` |
| 仅传了 `--config` | `<config 文件所在目录>/unilabos_data/` |
| 都没传 | `<当前工作目录>/unilabos_data/` |
**按优先级搜索文件**
@@ -84,6 +84,24 @@ python ./scripts/gen_auth.py --config <config.py>
python ./scripts/extract_device_actions.py --registry <找到的文件路径>
```
#### 完整示例
用户提供:
```
--ak a1fd9d4e-xxxx-xxxx-xxxx-d9a69c09f0fd
--sk 136ff5c6-xxxx-xxxx-xxxx-a03e301f827b
--addr test
--port 8003
--disable_browser
```
从中提取:
- ✅ ak/sk → 运行 `gen_auth.py` 得到 `AUTH="Authorization: Lab YTFmZDlk..."`
- ✅ addr=test → `BASE=https://uni-lab.test.bohrium.com`
- ✅ 搜索 `unilabos_data/req_device_registry_upload.json` → 找到并确认时间
- ✅ 用户指明目标设备 → 如 `liquid_handler.prcxi`
**四项全部就绪后才进入 Step 1。**
### Step 1 — 列出可用设备
@@ -111,7 +129,6 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
脚本会显示设备的 Python 源码路径和类名,方便阅读源码了解参数含义。
每个 action 生成一个 JSON 文件,包含:
- `type` — 作为 API 调用的 `action_type`
- `schema` — 完整 JSON Schema`properties.goal.properties` 参数定义)
- `goal` — goal 字段映射(含占位符 `$placeholder`
@@ -119,14 +136,13 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
### Step 3 — 写 action-index.md
按模板为每个 action 写条目**必须包含 `action_type`**
按模板为每个 action 写条目:
```markdown
### `<action_name>`
<用途描述(一句话)>
- **action_type**: `<从 actions/<name>.json 的 type 字段获取>`
- **Schema**: [`actions/<filename>.json`](actions/<filename>.json)
- **核心参数**: `param1`, `param2`(从 schema.required 获取)
- **可选参数**: `param3`, `param4`
@@ -134,8 +150,6 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
```
描述规则:
- **每个 action 必须标注 `action_type`**(从 JSON 的 `type` 字段读取),这是 API #9 调用时的必填参数,传错会导致任务永远卡住
-`schema.properties` 读参数列表schema 已提升为 goal 内容)
-`schema.required` 区分核心/可选参数
- 按功能分类(移液、枪头、外设等)
@@ -144,14 +158,12 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
- `unilabos_devices`**DeviceSlot**,填入路径字符串如 `"/host_node"`(从资源树筛选 type=device
- `unilabos_nodes`**NodeSlot**,填入路径字符串如 `"/PRCXI/PRCXI_Deck"`(资源树中任意节点)
- `unilabos_class`**ClassSlot**,填入类名字符串如 `"container"`(从注册表查找)
- `unilabos_formulation`**FormulationSlot**,填入配方数组 `[{well_name, liquids: [{name, volume}]}]`well_name 为目标物料的 name
- array 类型字段 → `[{id, name, uuid}, ...]`
- 特殊:`create_resource``res_id`ResourceSlot可填不存在的路径
### Step 4 — 写 SKILL.md
直接复用 `unilab-device-api` 的 API 模板,修改:
直接复用 `unilab-device-api` 的 API 模板10 个 endpoint,修改:
- 设备名称
- Action 数量
- 目录列表
@@ -159,96 +171,43 @@ python ./scripts/extract_device_actions.py [--registry <path>] <device_id> ./ski
- **AUTH 头** — 使用 Step 0 中 `gen_auth.py` 生成的 `Authorization: Lab <token>`(不要硬编码 `Api` 类型的 key
- **Python 源码路径** — 在 SKILL.md 开头注明设备对应的源码文件,方便参考参数含义
- **Slot 字段表** — 列出本设备哪些 action 的哪些字段需要填入 Slot物料/设备/节点/类名)
- **action_type 速查表** — 在 API #9 说明后面紧跟一个表格,列出每个 action 对应的 `action_type` 值(从 JSON `type` 字段提取),方便 agent 快速查找而无需打开 JSON 文件
API 模板结构:
```markdown
## 设备信息
- device_id, Python 源码路径, 设备类名
## 前置条件(缺一不可)
- ak/sk → AUTH, --addr → BASE URL
## 请求约定
- Windows 平台必须用 curl.exe非 PowerShell 的 curl 别名)
## Session State
- lab_uuid通过 API #1 自动匹配,不要问用户), device_name
- lab_uuid通过 GET /edge/lab/info 直接获取,不要问用户), device_name
## API Endpoints
# - #1 GET /edge/lab/info → 直接拿到 lab_uuid
# - #2 创建工作流 POST /lab/workflow/owner → 拼 URL 告知用户
# - #3 创建节点 POST /edge/workflow/node
# body: {workflow_uuid, resource_template_name: "<device_id>", node_template_name: "<action_name>"}
# - #4 删除节点 DELETE /lab/workflow/nodes
# - #5 更新节点参数 PATCH /lab/workflow/node
# - #6 查询节点 handles POST /lab/workflow/node-handles
# body: {node_uuids: ["uuid1","uuid2"]} → 返回各节点的 handle_uuid
# - #7 批量创建边 POST /lab/workflow/edges
# body: {edges: [{source_node_uuid, target_node_uuid, source_handle_uuid, target_handle_uuid}]}
# - #8 启动工作流 POST /lab/workflow/{uuid}/run
# - #9 运行设备单动作 POST /lab/mcp/run/action action_type 必须从 action-index.md 或 actions/<name>.json 的 type 字段获取,传错会导致任务永远卡住)
# - #10 查询任务状态 GET /lab/mcp/task/{task_uuid}
# - #11 运行工作流单节点 POST /lab/mcp/run/workflow/action
# - #12 获取资源树 GET /lab/material/download/{lab_uuid}
# - #13 获取工作流模板详情 GET /lab/workflow/template/detail/{workflow_uuid}
# 返回 workflow 完整结构data.nodes[] 含每个节点的 uuid、name、param、device_name、handles
# - #14 按名称查询物料模板 GET /lab/material/template/by-name?lab_uuid=&name=
# 返回 res_template_uuid用于 #15 创建物料时的必填字段
# - #15 创建物料节点 POST /edge/material/node
# body: {res_template_uuid(从#14获取), name(自定义), display_name, parent_uuid?(从#12获取), ...}
# - #16 更新物料节点 PUT /edge/material/node
# body: {uuid(从#12获取), display_name?, description?, init_param_data?, data?, ...}
## API Endpoints (10 个)
# 注意:
# - #1 获取 lab 列表 + 自动匹配 lab_uuid遍历 is_admin 的 lab
# 调用 /lab/info/{uuid} 比对 access_key == ak
# - #2 创建工作流用 POST /lab/workflow
# - #10 获取资源树路径含 lab_uuid: /lab/material/download/{lab_uuid}
## Placeholder Slot 填写规则
- unilabos_resources → ResourceSlot → {"id":"/path/name","name":"name","uuid":"xxx"}
- unilabos_devices → DeviceSlot → "/parent/device" 路径字符串
- unilabos_nodes → NodeSlot → "/parent/node" 路径字符串
- unilabos_class → ClassSlot → "class_name" 字符串
- unilabos_formulation → FormulationSlot → [{well_name, liquids: [{name, volume}]}] 配方数组
- 特例create_resource 的 res_id 允许填不存在的路径
- 列出本设备所有 Slot 字段、类型及含义
## 渐进加载策略
## 完整工作流 Checklist
```
### Step 5 — 验证
检查文件完整性:
- [ ] `SKILL.md` 包含 API endpoint#1 获取 lab_uuid、#2-#7 工作流/节点/边、#8-#11 运行/查询、#12 资源树、#13 工作流模板详情、#14-#16 物料管理)
- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则ResourceSlot / DeviceSlot / NodeSlot / ClassSlot / FormulationSlot + create_resource 特例)和本设备的 Slot 字段表
- [ ] `SKILL.md` 包含 10 个 API endpoint
- [ ] `SKILL.md` 包含 Placeholder Slot 填写规则ResourceSlot / DeviceSlot / NodeSlot / ClassSlot + create_resource 特例)和本设备的 Slot 字段表
- [ ] `action-index.md` 列出所有 action 并有描述
- [ ] `actions/` 目录中每个 action 有对应 JSON 文件
- [ ] JSON 文件包含 `type`, `schema`(已提升为 goal 内容), `goal`, `goal_default`, `placeholder_keys` 字段
@@ -290,202 +249,71 @@ API 模板结构:
```
> **注意**`schema` 已由脚本从原始 `schema.properties.goal` 提升为顶层,直接包含参数定义。
> `schema.properties` 中的字段即为 API 创建节点返回的 `data.param` 中的字段PATCH 更新时直接修改 `param` 即可
> `schema.properties` 中的字段即为 API 请求 `param.goal` 中的字段
## Placeholder Slot 类型体系
`placeholder_keys` / `_unilabos_placeholder_info` 中有 5 种值,对应不同的填写方式:
`placeholder_keys` / `_unilabos_placeholder_info` 中有 4 种值,对应不同的填写方式:
| placeholder 值 | Slot 类型 | 填写格式 | 选取范围 |
| ---------------------- | --------------- | ----------------------------------------------------- | ----------------------------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅**物料**节点(不含设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅**设备**节点type=device路径字符串 |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | **设备 + 物料**,即所有节点,路径字符串 |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已上报的资源类 name |
| `unilabos_formulation` | FormulationSlot | `[{well_name, liquids: [{name, volume}]}]` | 资源树中物料节点的 **name**,配合液体配方 |
| placeholder 值 | Slot 类型 | 填写格式 | 选取范围 |
|---------------|-----------|---------|---------|
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅**物料**节点(不含设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅**设备**节点type=device路径字符串 |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | **设备 + 物料**,即所有节点,路径字符串 |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已上报的资源类 name |
### ResourceSlot`unilabos_resources`
最常见的类型。从资源树中选取**物料**节点(孔板、枪头盒、试剂槽等):
- 单个:`{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-..."}`
- 数组:`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
- `id` 从 parent 计算的路径格式,根据 action 语义选择正确的物料
> **特例**`create_resource` 的 `res_id`,目标物料可能尚不存在,直接填期望路径,不需要 uuid。
### DeviceSlot / NodeSlot / ClassSlot
- **DeviceSlot**`unilabos_devices`):路径字符串如 `"/host_node"`,仅 type=device 的节点
- **NodeSlot**`unilabos_nodes`):路径字符串如 `"/PRCXI/PRCXI_Deck"`,设备 + 物料均可选
- **ClassSlot**`unilabos_class`):类名字符串如 `"container"`,从 `req_resource_registry_upload.json` 查找
### FormulationSlot`unilabos_formulation`
描述**液体配方**:向哪些容器中加入哪些液体及体积。
```json
[
{
"sample_uuid": "",
"well_name": "bottle_A1",
"liquids": [{ "name": "LiPF6", "volume": 0.6 }]
}
]
{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-2cb8-419d-8db5-d3ba056fb3c2"}
```
- `well_name` — 目标物料的 **name**(从资源树取,不是 `id` 路径)
- `liquids[]` — 液体列表,每条含 `name`(试剂名)和 `volume`体积单位由上下文决定pylabrobot 内部统一 uL
- `sample_uuid` — 样品 UUID无样品传 `""`
- 与 ResourceSlot 的区别ResourceSlot 指向物料本身FormulationSlot 引用物料名并附带配方信息
- 单个schema type=object`{"id": "/path/name", "name": "name", "uuid": "xxx"}`
- 数组schema type=array`[{"id": "/path/a", "name": "a", "uuid": "xxx"}, ...]`
- `id` 本身是从 parent 计算的路径格式
- 根据 action 语义选择正确的物料(如 `sources` = 液体来源,`targets` = 目标位置)
### 通过 API #12 获取资源树
> **特例**`create_resource` 的 `res_id` 字段,目标物料可能**尚不存在**,此时直接填写期望的路径(如 `"/workstation/container1"`),不需要 uuid。
### DeviceSlot`unilabos_devices`
填写**设备路径字符串**。从资源树中筛选 type=device 的节点,从 parent 计算路径:
```
"/host_node"
"/bioyond_cell/reaction_station"
```
- 只填路径字符串,不需要 `{id, uuid}` 对象
- 根据 action 语义选择正确的设备(如 `target_device_id` = 目标设备)
### NodeSlot`unilabos_nodes`
范围 = 设备 + 物料。即资源树中**所有节点**都可以选,填写**路径字符串**
```
"/PRCXI/PRCXI_Deck"
```
- 使用场景:当参数既可能指向物料也可能指向设备时(如 `PumpTransferProtocol``from_vessel`/`to_vessel``create_resource``parent`
### ClassSlot`unilabos_class`
填写注册表中已上报的**资源类 name**。从本地 `req_resource_registry_upload.json` 中查找:
```
"container"
```
### 通过 API #10 获取资源树
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中(不是查询参数)。返回结构:
```json
{
"code": 0,
"data": {
"nodes": [
{"name": "host_node", "uuid": "c3ec1e68-...", "type": "device", "parent": ""},
{"name": "PRCXI", "uuid": "e249c9a6-...", "type": "device", "parent": ""},
{"name": "PRCXI_Deck", "uuid": "fb6a8b71-...", "type": "deck", "parent": "PRCXI"}
],
"edges": [...]
}
}
```
- `data.nodes[]` — 所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
- `type` 区分设备(`device`)和物料(`deck``container``resource` 等)
- `parent` 为父节点名称(空字符串表示顶级)
- 填写 Slot 时根据 placeholder 类型筛选ResourceSlot 取非 device 节点DeviceSlot 取 device 节点
- 创建/更新物料时:`parent_uuid` 取父节点的 `uuid`,更新目标的 `uuid` 取节点自身的 `uuid`
## 物料管理 API
设备 Skill 除了设备动作外,还需支持物料节点的创建和参数设定,用于在资源树中动态管理物料。
典型流程:先通过 **#14 按名称查询模板** 获取 `res_template_uuid` → 再通过 **#15 创建物料** → 之后可通过 **#16 更新物料** 修改属性。更新时需要的 `uuid``parent_uuid` 均从 **#12 资源树下载** 获取。
### API #14 — 按名称查询物料模板
创建物料前,需要先获取物料模板的 UUID。通过模板名称查询
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
| 参数 | 必填 | 说明 |
| ---------- | ------ | -------------------------------- |
| `lab_uuid` | **是** | 实验室 UUID从 API #1 获取) |
| `name` | **是** | 物料模板名称(如 `"container"` |
返回 `code: 0` 时,**`data.uuid`** 即为 `res_template_uuid`,用于 API #15 创建物料。返回还包含 `name``resource_type``handles``config_infos` 等模板元信息。
模板不存在时返回 `code: 10002``data` 为空对象。模板名称来自资源注册表中已注册的资源类型。
### API #15 — 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体:
```json
{
"res_template_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"name": "my_custom_bottle",
"display_name": "自定义瓶子",
"parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"type": "",
"init_param_data": {},
"schema": {},
"data": {
"liquids": [["water", 1000, "uL"]],
"max_volume": 50000
},
"plate_well_datas": {},
"plate_reagent_datas": {},
"pose": {},
"model": {}
}
```
| 字段 | 必填 | 类型 | 数据来源 | 说明 |
| --------------------- | ------ | ------------- | ----------------------------------- | -------------------------------------- |
| `res_template_uuid` | **是** | string (UUID) | **API #14** 按名称查询获取 | 物料模板 UUID |
| `name` | 否 | string | **用户自定义** | 节点名称(标识符),可自由命名 |
| `display_name` | 否 | string | 用户自定义 | 显示名称UI 展示用) |
| `parent_uuid` | 否 | string (UUID) | **API #12** 资源树中父节点的 `uuid` | 父节点,为空则创建顶级节点 |
| `type` | 否 | string | 从模板继承 | 节点类型 |
| `init_param_data` | 否 | object | 用户指定 | 初始化参数,覆盖模板默认值 |
| `data` | 否 | object | 用户指定 | 节点数据container 见下方 data 格式 |
| `plate_well_datas` | 否 | object | 用户指定 | 孔板子节点数据(创建带孔位的板时使用) |
| `plate_reagent_datas` | 否 | object | 用户指定 | 试剂关联数据 |
| `schema` | 否 | object | 从模板继承 | 自定义 schema不传则从模板继承 |
| `pose` | 否 | object | 用户指定 | 位姿信息 |
| `model` | 否 | object | 用户指定 | 3D 模型信息 |
#### container 的 `data` 格式
> **体积单位统一为 uL微升**。pylabrobot 体系中所有体积值(`max_volume`、`liquids` 中的 volume均为 uL。外部如果是 mL 需乘 1000 转换。
```json
{
"liquids": [["water", 1000, "uL"], ["ethanol", 500, "uL"]],
"max_volume": 50000
}
```
- `liquids` — 液体列表,每条为 `[液体名称, 体积(uL), 单位字符串]`
- `max_volume` — 容器最大容量uL如 50 mL = 50000 uL
### API #16 — 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体:
```json
{
"uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"parent_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"display_name": "新显示名称",
"description": "新描述",
"init_param_data": {},
"data": {},
"pose": {},
"schema": {},
"extra": {}
}
```
| 字段 | 必填 | 类型 | 数据来源 | 说明 |
| ----------------- | ------ | ------------- | ------------------------------------- | ---------------- |
| `uuid` | **是** | string (UUID) | **API #12** 资源树中目标节点的 `uuid` | 要更新的物料节点 |
| `parent_uuid` | 否 | string (UUID) | API #12 资源树 | 移动到新父节点 |
| `display_name` | 否 | string | 用户指定 | 更新显示名称 |
| `description` | 否 | string | 用户指定 | 更新描述 |
| `init_param_data` | 否 | object | 用户指定 | 更新初始化参数 |
| `data` | 否 | object | 用户指定 | 更新节点数据 |
| `pose` | 否 | object | 用户指定 | 更新位姿 |
| `schema` | 否 | object | 用户指定 | 更新 schema |
| `extra` | 否 | object | 用户指定 | 更新扩展数据 |
> 只传需要更新的字段,未传的字段保持不变。
注意 `lab_uuid` 在路径中(不是查询参数)。资源树返回所有节点,每个节点包含 `id`(路径格式)、`name``uuid``type``parent` 等字段。填写 Slot 时需根据 placeholder 类型筛选正确的节点。
## 最终目录结构

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@@ -1,251 +0,0 @@
---
name: host-node
description: Operate Uni-Lab host node via REST API — create resources, test latency, test resource tree, manual confirm. Use when the user mentions host_node, creating resources, resource management, testing latency, or any host node operation.
---
# Host Node API Skill
## 设备信息
- **device_id**: `host_node`
- **Python 源码**: `unilabos/ros/nodes/presets/host_node.py`
- **设备类**: `HostNode`
- **动作数**: 4`create_resource`, `test_latency`, `auto-test_resource`, `manual_confirm`
## 前置条件(缺一不可)
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
从启动参数 `--ak` `--sk` 或 config.py 中获取,生成 token`base64(ak:sk)``Authorization: Lab <token>`
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <token>"
```
**两项全部就绪后才可发起 API 请求。**
## Session State
在整个对话过程中agent 需要记住以下状态,避免重复询问用户:
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `device_name``host_node`
## 请求约定
所有请求使用 `curl -s`POST/PATCH/DELETE 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回 `data.uuid``lab_uuid``data.name``lab_name`
### 2. 创建工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
```
返回 `data.uuid``workflow_uuid`。创建成功后告知用户链接:`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
### 3. 创建节点
```bash
curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"host_node","node_template_name":"<action_name>"}'
```
- `resource_template_name` 固定为 `host_node`
- `node_template_name` — action 名称(如 `create_resource`, `test_latency`
### 4. 删除节点
```bash
curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
```
### 5. 更新节点参数
```bash
curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
```
`param` 直接使用创建节点返回的 `data.param` 结构,修改需要填入的字段值。参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
### 6. 查询节点 handles
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
```
### 7. 批量创建边
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
```
### 8. 启动工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
```
### 9. 运行设备单动作
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"lab_uuid":"<lab_uuid>","device_id":"host_node","action":"<action_name>","action_type":"<type>","param":{...}}'
```
`param` 直接放 goal 里的属性,**不要**再包一层 `{"goal": {...}}`
> **WARNING: `action_type` 必须正确,传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
#### action_type 速查表
| action | action_type |
|--------|-------------|
| `test_latency` | `UniLabJsonCommand` |
| `create_resource` | `ResourceCreateFromOuterEasy` |
| `auto-test_resource` | `UniLabJsonCommand` |
| `manual_confirm` | `UniLabJsonCommand` |
### 10. 查询任务状态
```bash
curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
```
### 11. 运行工作流单节点
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuid":"<node_uuid>"}'
```
### 12. 获取资源树(物料信息)
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
### 13. 获取工作流模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
> 必须使用 `/lab/workflow/template/detail/{uuid}`,其他路径会返回 404。
### 14. 按名称查询物料模板
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
返回 `data.uuid``res_template_uuid`,用于 API #15
### 15. 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
```
### 16. 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
```
---
## Placeholder Slot 填写规则
| `placeholder_keys` 值 | Slot 类型 | 填写格式 | 选取范围 |
| --------------------- | ------------ | ----------------------------------------------------- | ---------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅物料节点(非设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅设备节点type=device |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | 所有节点(设备 + 物料) |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已注册的资源类 |
### host_node 设备的 Slot 字段表
| Action | 字段 | Slot 类型 | 说明 |
| ----------------- | ----------- | ------------ | ------------------------------ |
| `create_resource` | `res_id` | ResourceSlot | 新资源路径(可填不存在的路径) |
| `create_resource` | `device_id` | DeviceSlot | 归属设备 |
| `create_resource` | `parent` | NodeSlot | 父节点路径 |
| `create_resource` | `class_name`| ClassSlot | 资源类名如 `"container"` |
| `auto-test_resource` | `resource` | ResourceSlot | 单个测试物料 |
| `auto-test_resource` | `resources` | ResourceSlot | 测试物料数组 |
| `auto-test_resource` | `device` | DeviceSlot | 测试设备 |
| `auto-test_resource` | `devices` | DeviceSlot | 测试设备 |
---
## 渐进加载策略
1. **SKILL.md**(本文件)— API 端点 + session state 管理
2. **[action-index.md](action-index.md)** — 按分类浏览 4 个动作的描述和核心参数
3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时,加载对应 action 的完整 JSON Schema
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
- [ ] Step 3: 读 action-index.md 确定要用的 action 名
- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid告知用户链接
- [ ] Step 5: 创建节点 (POST #3, resource_template_name=host_node) → 记住 node_uuid + data.param
- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树,填写 data.param 中的 Slot 字段
- [ ] Step 7: 更新节点参数 (PATCH #5)
- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
```

View File

@@ -1,58 +0,0 @@
# Action Index — host_node
4 个动作,按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`
---
## 资源管理
### `create_resource`
在资源树中创建新资源(容器、物料等),支持指定位置、类型和初始液体
- **action_type**: `ResourceCreateFromOuterEasy`
- **Schema**: [`actions/create_resource.json`](actions/create_resource.json)
- **可选参数**: `res_id`, `device_id`, `class_name`, `parent`, `bind_locations`, `liquid_input_slot`, `liquid_type`, `liquid_volume`, `slot_on_deck`
- **占位符字段**:
- `res_id`**ResourceSlot**(特例:目标物料可能尚不存在,直接填期望路径)
- `device_id`**DeviceSlot**,填路径字符串如 `"/host_node"`
- `parent`**NodeSlot**,填路径字符串如 `"/workstation/deck"`
- `class_name`**ClassSlot**,填类名如 `"container"`
### `auto-test_resource`
测试资源系统,返回当前资源树和设备列表
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/test_resource.json`](actions/test_resource.json)
- **可选参数**: `resource`, `resources`, `device`, `devices`
- **占位符字段**:
- `resource`**ResourceSlot**,单个物料节点 `{id, name, uuid}`
- `resources`**ResourceSlot**,物料节点数组 `[{id, name, uuid}, ...]`
- `device`**DeviceSlot**,设备路径字符串
- `devices`**DeviceSlot**,设备路径字符串
---
## 系统工具
### `test_latency`
测试设备通信延迟,返回 RTT、时间差、任务延迟等指标
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/test_latency.json`](actions/test_latency.json)
- **参数**: 无(零参数调用)
---
## 人工确认
### `manual_confirm`
创建人工确认节点,等待用户手动确认后继续
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
- **核心参数**: `timeout_seconds`(超时时间,秒), `assignee_user_ids`(指派用户 ID 列表)
- **占位符字段**: `assignee_user_ids``unilabos_manual_confirm` 类型

View File

@@ -1,93 +0,0 @@
{
"type": "ResourceCreateFromOuterEasy",
"goal": {
"res_id": "res_id",
"class_name": "class_name",
"parent": "parent",
"device_id": "device_id",
"bind_locations": "bind_locations",
"liquid_input_slot": "liquid_input_slot[]",
"liquid_type": "liquid_type[]",
"liquid_volume": "liquid_volume[]",
"slot_on_deck": "slot_on_deck"
},
"schema": {
"type": "object",
"properties": {
"res_id": {
"type": "string"
},
"device_id": {
"type": "string"
},
"class_name": {
"type": "string"
},
"parent": {
"type": "string"
},
"bind_locations": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "bind_locations",
"additionalProperties": false
},
"liquid_input_slot": {
"type": "array",
"items": {
"type": "integer"
}
},
"liquid_type": {
"type": "array",
"items": {
"type": "string"
}
},
"liquid_volume": {
"type": "array",
"items": {
"type": "number"
}
},
"slot_on_deck": {
"type": "string"
}
},
"required": [],
"_unilabos_placeholder_info": {
"res_id": "unilabos_resources",
"device_id": "unilabos_devices",
"parent": "unilabos_nodes",
"class_name": "unilabos_class"
}
},
"goal_default": {},
"placeholder_keys": {
"res_id": "unilabos_resources",
"device_id": "unilabos_devices",
"parent": "unilabos_nodes",
"class_name": "unilabos_class"
}
}

View File

@@ -1,32 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"timeout_seconds": "timeout_seconds",
"assignee_user_ids": "assignee_user_ids"
},
"schema": {
"type": "object",
"properties": {
"timeout_seconds": {
"type": "integer"
},
"assignee_user_ids": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"timeout_seconds",
"assignee_user_ids"
],
"_unilabos_placeholder_info": {
"assignee_user_ids": "unilabos_manual_confirm"
}
},
"goal_default": {},
"placeholder_keys": {
"assignee_user_ids": "unilabos_manual_confirm"
}
}

View File

@@ -1,11 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {},
"schema": {
"type": "object",
"properties": {},
"required": []
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -1,255 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"resource": "resource",
"resources": "resources",
"device": "device",
"devices": "devices"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"resources": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resources"
},
"type": "array"
},
"device": {
"type": "string",
"description": "device reference"
},
"devices": {
"type": "string",
"description": "device reference"
}
},
"required": [],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"resources": "unilabos_resources",
"device": "unilabos_devices",
"devices": "unilabos_devices"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"resources": "unilabos_resources",
"device": "unilabos_devices",
"devices": "unilabos_devices"
}
}

View File

@@ -1,284 +0,0 @@
---
name: submit-agent-result
description: Submit historical experiment results (agent_result) to Uni-Lab cloud platform (leap-lab) notebook — read data files, assemble JSON payload, PUT to cloud API. Use when the user wants to submit experiment results, upload agent results, report experiment data, or mentions agent_result/实验结果/历史记录/notebook结果.
---
# Uni-Lab 提交历史实验记录指南
通过 Uni-Lab 云端 API 向已创建的 notebook 提交实验结果数据agent_result。支持从 JSON / CSV 文件读取数据,整合后提交。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
## 前置条件(缺一不可)
使用本指南前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
询问用户的启动参数,从 `--ak` `--sk` 或 config.py 中获取。
生成 AUTH token
```bash
# ⚠️ 注意scheme 是 "Lab"Uni-Lab 专用),不是 "Basic"
python -c "import base64,sys; print(base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
```
输出即为 token 值,拼接为 `Authorization: Lab <token>``Lab` 是 Uni-Lab 平台 auth scheme不可替换为 `Basic`)。
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
# ⚠️ Auth scheme 必须是 "Lab"Uni-Lab 专用),不是 "Basic"
AUTH="Authorization: Lab <上面命令输出的 token>"
```
### 3. notebook_uuid**必须询问用户**
**必须主动询问用户**:「请提供要提交结果的 notebook UUID。」
notebook_uuid 来自之前通过「批量提交实验」创建的实验批次,即 `POST /api/v1/lab/notebook` 返回的 `data.uuid`
如果用户不记得,可提示:
- 查看之前的对话记录中创建 notebook 时返回的 UUID
- 或通过平台页面查找对应的 notebook
**绝不能跳过此步骤,没有 notebook_uuid 无法提交。**
### 4. 实验结果数据
用户需要提供实验结果数据,支持以下方式:
| 方式 | 说明 |
| --------- | ----------------------------------------------- |
| JSON 文件 | 直接作为 `agent_result` 的内容合并 |
| CSV 文件 | 转为 `{"文件名": [行数据...]}` 格式 |
| 手动指定 | 用户直接告知 key-value 数据,由 agent 构建 JSON |
**四项全部就绪后才可开始。**
## Session State
在整个对话过程中agent 需要记住以下状态:
- `lab_uuid` — 实验室 UUID通过 API #1 自动获取,**不需要问用户**
- `notebook_uuid` — 目标 notebook UUID**必须询问用户**
## 请求约定
所有请求使用 `curl -s`PUT 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名),示例中的 `curl` 均指 `curl.exe`。
>
> **PowerShell JSON 传参**PowerShell 中 `-d '{"key":"value"}'` 会因引号转义失败。请将 JSON 写入临时文件,用 `-d '@tmp_body.json'`(单引号包裹 `@`,否则 `@` 会被 PowerShell 解析为 splatting 运算符导致报错)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
```
记住 `data.uuid``lab_uuid`
### 2. 提交实验结果agent_result
```bash
curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '<request_body>'
```
请求体结构:
```json
{
"notebook_uuid": "<notebook_uuid>",
"agent_result": {
"<key1>": "<value1>",
"<key2>": 123,
"<nested_key>": {"a": 1, "b": 2},
"<array_key>": [{"col1": "v1", "col2": "v2"}, ...]
}
}
```
> **注意**HTTP 方法是 **PUT**(不是 POST
#### 必要字段
| 字段 | 类型 | 说明 |
| --------------- | ------------- | ------------------------------------------- |
| `notebook_uuid` | string (UUID) | 目标 notebook 的 UUID从批量提交实验时获取 |
| `agent_result` | object | 实验结果数据,任意 JSON 对象 |
#### agent_result 内容格式
`agent_result` 接受**任意 JSON 对象**,常见格式:
**简单键值对**
```json
{
"avg_rtt_ms": 12.5,
"status": "success",
"test_count": 5
}
```
**包含嵌套结构**
```json
{
"summary": { "total": 100, "passed": 98, "failed": 2 },
"measurements": [
{ "sample_id": "S001", "value": 3.14, "unit": "mg/mL" },
{ "sample_id": "S002", "value": 2.71, "unit": "mg/mL" }
]
}
```
**从 CSV 文件导入**(脚本自动转换):
```json
{
"experiment_data": [
{ "温度": 25, "压力": 101.3, "产率": 0.85 },
{ "温度": 30, "压力": 101.3, "产率": 0.91 }
]
}
```
---
## 整合脚本
本文档同级目录下的 `scripts/prepare_agent_result.py` 可自动读取文件并构建请求体。
### 用法
```bash
python scripts/prepare_agent_result.py \
--notebook-uuid <uuid> \
--files data1.json data2.csv \
[--auth <token>] \
[--base <BASE_URL>] \
[--submit] \
[--output <output.json>]
```
| 参数 | 必选 | 说明 |
| ----------------- | ---------- | ----------------------------------------------- |
| `--notebook-uuid` | 是 | 目标 notebook UUID |
| `--files` | 是 | 输入文件路径支持多个JSON / CSV |
| `--auth` | 提交时必选 | Lab tokenbase64(ak:sk) |
| `--base` | 提交时必选 | API base URL |
| `--submit` | 否 | 加上此标志则直接提交到云端 |
| `--output` | 否 | 输出 JSON 路径(默认 `agent_result_body.json` |
### 文件合并规则
| 文件类型 | 合并方式 |
| --------------------- | -------------------------------------------- |
| `.json`dict | 字段直接合并到 `agent_result` 顶层 |
| `.json`list/other | 以文件名为 key 放入 `agent_result` |
| `.csv` | 以文件名(不含扩展名)为 key值为行对象数组 |
多个文件的字段会合并。JSON dict 中的重复 key 后者覆盖前者。
### 示例
```bash
# 仅生成请求体文件(不提交)
python scripts/prepare_agent_result.py \
--notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
--files results.json measurements.csv
# 生成并直接提交
python scripts/prepare_agent_result.py \
--notebook-uuid 73c67dca-c8cc-4936-85a0-329106aa7cca \
--files results.json \
--auth YTFmZDlkNGUt... \
--base https://leap-lab.test.bohrium.com \
--submit
```
---
## 手动构建方式
如果不使用脚本,也可手动构建请求体:
1. 将实验结果数据组装为 JSON 对象
2. 写入临时文件:
```json
{
"notebook_uuid": "<uuid>",
"agent_result": { ... }
}
```
3. 用 curl 提交:
```bash
curl -s -X PUT "$BASE/api/v1/lab/notebook/agent-result" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '@tmp_body.json'
```
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: **询问用户** notebook_uuid必须不可跳过
- [ ] Step 5: 确认实验结果数据来源(文件路径或手动数据)
- [ ] Step 6: 运行 prepare_agent_result.py 或手动构建请求体
- [ ] Step 7: PUT /lab/notebook/agent-result 提交
- [ ] Step 8: 检查返回结果,确认提交成功
```
---
## 常见问题
### Q: notebook_uuid 从哪里获取?
从之前「批量提交实验」时 `POST /api/v1/lab/notebook` 的返回值 `data.uuid` 获取。也可以在平台 UI 中查找对应的 notebook。
### Q: agent_result 有固定的 schema 吗?
没有严格 schema接受任意 JSON 对象。但建议包含有意义的字段名和结构化数据,方便后续分析。
### Q: 可以多次提交同一个 notebook 的结果吗?
可以,后续提交会覆盖之前的 agent_result。
### Q: 认证方式是 Lab 还是 Api
本指南统一使用 `Authorization: Lab <base64(ak:sk)>` 方式(`Lab` 是 Uni-Lab 平台的 auth scheme**绝不能用 `Basic` 替代**)。如果用户有独立的 API Key也可用 `Authorization: Api <key>` 替代。

View File

@@ -1,133 +0,0 @@
"""
读取实验结果文件JSON / CSV整合为 agent_result 请求体并可选提交。
用法:
python prepare_agent_result.py \
--notebook-uuid <uuid> \
--files data1.json data2.csv \
[--auth <Lab token>] \
[--base <BASE_URL>] \
[--submit] \
[--output <output.json>]
支持的输入文件格式:
- .json → 直接作为 dict 合并
- .csv → 转为 {"filename": [row_dict, ...]} 格式
"""
import argparse
import base64
import csv
import json
import os
import sys
from pathlib import Path
from typing import Any, Dict, List
def read_json_file(filepath: str) -> Dict[str, Any]:
with open(filepath, "r", encoding="utf-8") as f:
return json.load(f)
def read_csv_file(filepath: str) -> List[Dict[str, Any]]:
rows = []
with open(filepath, "r", encoding="utf-8-sig") as f:
reader = csv.DictReader(f)
for row in reader:
converted = {}
for k, v in row.items():
try:
converted[k] = int(v)
except (ValueError, TypeError):
try:
converted[k] = float(v)
except (ValueError, TypeError):
converted[k] = v
rows.append(converted)
return rows
def merge_files(filepaths: List[str]) -> Dict[str, Any]:
"""将多个文件合并为一个 agent_result dict"""
merged: Dict[str, Any] = {}
for fp in filepaths:
path = Path(fp)
ext = path.suffix.lower()
key = path.stem
if ext == ".json":
data = read_json_file(fp)
if isinstance(data, dict):
merged.update(data)
else:
merged[key] = data
elif ext == ".csv":
merged[key] = read_csv_file(fp)
else:
print(f"[警告] 不支持的文件格式: {fp},跳过", file=sys.stderr)
return merged
def build_request_body(notebook_uuid: str, agent_result: Dict[str, Any]) -> Dict[str, Any]:
return {
"notebook_uuid": notebook_uuid,
"agent_result": agent_result,
}
def submit(base: str, auth: str, body: Dict[str, Any]) -> Dict[str, Any]:
try:
import requests
except ImportError:
print("[错误] 提交需要 requests 库: pip install requests", file=sys.stderr)
sys.exit(1)
url = f"{base}/api/v1/lab/notebook/agent-result"
headers = {
"Content-Type": "application/json",
"Authorization": f"Lab {auth}",
}
resp = requests.put(url, json=body, headers=headers, timeout=30)
return {"status_code": resp.status_code, "body": resp.json() if resp.headers.get("content-type", "").startswith("application/json") else resp.text}
def main():
parser = argparse.ArgumentParser(description="整合实验结果文件并构建 agent_result 请求体")
parser.add_argument("--notebook-uuid", required=True, help="目标 notebook UUID")
parser.add_argument("--files", nargs="+", required=True, help="输入文件路径JSON / CSV")
parser.add_argument("--auth", help="Lab tokenbase64(ak:sk)")
parser.add_argument("--base", help="API base URL")
parser.add_argument("--submit", action="store_true", help="直接提交到云端")
parser.add_argument("--output", default="agent_result_body.json", help="输出 JSON 文件路径")
args = parser.parse_args()
for fp in args.files:
if not os.path.exists(fp):
print(f"[错误] 文件不存在: {fp}", file=sys.stderr)
sys.exit(1)
agent_result = merge_files(args.files)
body = build_request_body(args.notebook_uuid, agent_result)
with open(args.output, "w", encoding="utf-8") as f:
json.dump(body, f, ensure_ascii=False, indent=2)
print(f"[完成] 请求体已保存: {args.output}")
print(f" notebook_uuid: {args.notebook_uuid}")
print(f" agent_result 字段数: {len(agent_result)}")
print(f" 合并文件数: {len(args.files)}")
if args.submit:
if not args.auth or not args.base:
print("[错误] 提交需要 --auth 和 --base 参数", file=sys.stderr)
sys.exit(1)
print(f"\n[提交] PUT {args.base}/api/v1/lab/notebook/agent-result ...")
result = submit(args.base, args.auth, body)
print(f" HTTP {result['status_code']}")
print(f" 响应: {json.dumps(result['body'], ensure_ascii=False)}")
if __name__ == "__main__":
main()

View File

@@ -1,272 +0,0 @@
---
name: virtual-workbench
description: Operate Virtual Workbench via REST API — prepare materials, move to heating stations, start heating, move to output, transfer resources. Use when the user mentions virtual workbench, virtual_workbench, 虚拟工作台, heating stations, material processing, or workbench operations.
---
# Virtual Workbench API Skill
## 设备信息
- **device_id**: `virtual_workbench`
- **Python 源码**: `unilabos/devices/virtual/workbench.py`
- **设备类**: `VirtualWorkbench`
- **动作数**: 6`auto-prepare_materials`, `auto-move_to_heating_station`, `auto-start_heating`, `auto-move_to_output`, `transfer`, `manual_confirm`
- **设备描述**: 模拟工作台,包含 1 个机械臂(每次操作 2s独占锁和 3 个加热台(每次加热 60s可并行
### 典型工作流程
1. `prepare_materials` — 生成 A1-A5 物料5 个 output handle
2. `move_to_heating_station` — 物料并发竞争机械臂,移动到空闲加热台
3. `start_heating` — 启动加热3 个加热台可并行)
4. `move_to_output` — 加热完成后移到输出位置 Cn
## 前置条件(缺一不可)
使用本 skill 前,**必须**先确认以下信息。如果缺少任何一项,**立即向用户询问并终止**,等补齐后再继续。
### 1. ak / sk → AUTH
从启动参数 `--ak` `--sk` 或 config.py 中获取,生成 token`base64(ak:sk)``Authorization: Lab <token>`
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <token>"
```
**两项全部就绪后才可发起 API 请求。**
## Session State
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `device_name``virtual_workbench`
## 请求约定
所有请求使用 `curl -s`POST/PATCH/DELETE 需加 `Content-Type: application/json`
> **Windows 平台**必须使用 `curl.exe`(而非 PowerShell 的 `curl` 别名)。
---
## API Endpoints
### 1. 获取实验室信息(自动获取 lab_uuid
```bash
curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
```
返回 `data.uuid``lab_uuid``data.name``lab_name`
### 2. 创建工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/owner" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"name":"<名称>","lab_uuid":"<lab_uuid>","description":"<描述>"}'
```
返回 `data.uuid``workflow_uuid`。创建成功后告知用户链接:`$BASE/laboratory/$lab_uuid/workflow/$workflow_uuid`
### 3. 创建节点
```bash
curl -s -X POST "$BASE/api/v1/edge/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<workflow_uuid>","resource_template_name":"virtual_workbench","node_template_name":"<action_name>"}'
```
- `resource_template_name` 固定为 `virtual_workbench`
- `node_template_name` — action 名称(如 `auto-prepare_materials`, `auto-move_to_heating_station`
### 4. 删除节点
```bash
curl -s -X DELETE "$BASE/api/v1/lab/workflow/nodes" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<uuid1>"],"workflow_uuid":"<workflow_uuid>"}'
```
### 5. 更新节点参数
```bash
curl -s -X PATCH "$BASE/api/v1/lab/workflow/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"workflow_uuid":"<wf_uuid>","uuid":"<node_uuid>","param":{...}}'
```
参考 [action-index.md](action-index.md) 确定哪些字段是 Slot。
### 6. 查询节点 handles
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/node-handles" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuids":["<node_uuid_1>","<node_uuid_2>"]}'
```
### 7. 批量创建边
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/edges" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"edges":[{"source_node_uuid":"<uuid>","target_node_uuid":"<uuid>","source_handle_uuid":"<uuid>","target_handle_uuid":"<uuid>"}]}'
```
### 8. 启动工作流
```bash
curl -s -X POST "$BASE/api/v1/lab/workflow/<workflow_uuid>/run" -H "$AUTH"
```
### 9. 运行设备单动作
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"lab_uuid":"<lab_uuid>","device_id":"virtual_workbench","action":"<action_name>","action_type":"<type>","param":{...}}'
```
`param` 直接放 goal 里的属性,**不要**再包一层 `{"goal": {...}}`
> **WARNING: `action_type` 必须正确,传错会导致任务永远卡住无法完成。** 从下表或 `actions/<name>.json` 的 `type` 字段获取。
#### action_type 速查表
| action | action_type |
|--------|-------------|
| `auto-prepare_materials` | `UniLabJsonCommand` |
| `auto-move_to_heating_station` | `UniLabJsonCommand` |
| `auto-start_heating` | `UniLabJsonCommand` |
| `auto-move_to_output` | `UniLabJsonCommand` |
| `transfer` | `UniLabJsonCommandAsync` |
| `manual_confirm` | `UniLabJsonCommand` |
### 10. 查询任务状态
```bash
curl -s -X GET "$BASE/api/v1/lab/mcp/task/<task_uuid>" -H "$AUTH"
```
### 11. 运行工作流单节点
```bash
curl -s -X POST "$BASE/api/v1/lab/mcp/run/workflow/action" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"node_uuid":"<node_uuid>"}'
```
### 12. 获取资源树(物料信息)
```bash
curl -s -X GET "$BASE/api/v1/lab/material/download/$lab_uuid" -H "$AUTH"
```
注意 `lab_uuid` 在路径中。返回 `data.nodes[]` 含所有节点(设备 + 物料),每个节点含 `name``uuid``type``parent`
### 13. 获取工作流模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
> 必须使用 `/lab/workflow/template/detail/{uuid}`,其他路径会返回 404。
### 14. 按名称查询物料模板
```bash
curl -s -X GET "$BASE/api/v1/lab/material/template/by-name?lab_uuid=$lab_uuid&name=<template_name>" -H "$AUTH"
```
返回 `data.uuid``res_template_uuid`,用于 API #15
### 15. 创建物料节点
```bash
curl -s -X POST "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"res_template_uuid":"<uuid>","name":"<名称>","display_name":"<显示名>","parent_uuid":"<父节点uuid>","data":{...}}'
```
### 16. 更新物料节点
```bash
curl -s -X PUT "$BASE/api/v1/edge/material/node" \
-H "$AUTH" -H "Content-Type: application/json" \
-d '{"uuid":"<节点uuid>","display_name":"<新名称>","data":{...}}'
```
---
## Placeholder Slot 填写规则
| `placeholder_keys` 值 | Slot 类型 | 填写格式 | 选取范围 |
| --------------------- | ------------ | ----------------------------------------------------- | ---------------------- |
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` | 仅物料节点(非设备) |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` | 仅设备节点type=device |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` | 所有节点(设备 + 物料) |
| `unilabos_class` | ClassSlot | `"class_name"` | 注册表中已注册的资源类 |
### virtual_workbench 设备的 Slot 字段表
| Action | 字段 | Slot 类型 | 说明 |
| ----------------- | ---------------- | ------------ | -------------------- |
| `transfer` | `resource` | ResourceSlot | 待转移物料数组 |
| `transfer` | `target_device` | DeviceSlot | 目标设备路径 |
| `transfer` | `mount_resource` | ResourceSlot | 目标孔位数组 |
| `manual_confirm` | `resource` | ResourceSlot | 确认用物料数组 |
| `manual_confirm` | `target_device` | DeviceSlot | 确认用目标设备 |
| `manual_confirm` | `mount_resource` | ResourceSlot | 确认用目标孔位数组 |
> `prepare_materials`、`move_to_heating_station`、`start_heating`、`move_to_output` 这 4 个动作**无 Slot 字段**,参数为纯数值/整数。
---
## 渐进加载策略
1. **SKILL.md**(本文件)— API 端点 + session state 管理 + 设备工作流概览
2. **[action-index.md](action-index.md)** — 按分类浏览 6 个动作的描述和核心参数
3. **[actions/\<name\>.json](actions/)** — 仅在需要构建具体请求时,加载对应 action 的完整 JSON Schema
---
## 完整工作流 Checklist
```
Task Progress:
- [ ] Step 1: GET /edge/lab/info 获取 lab_uuid
- [ ] Step 2: 获取资源树 (GET #12) → 记住可用物料
- [ ] Step 3: 读 action-index.md 确定要用的 action 名
- [ ] Step 4: 创建工作流 (POST #2) → 记住 workflow_uuid告知用户链接
- [ ] Step 5: 创建节点 (POST #3, resource_template_name=virtual_workbench) → 记住 node_uuid + data.param
- [ ] Step 6: 根据 _unilabos_placeholder_info 和资源树,填写 data.param 中的 Slot 字段
- [ ] Step 7: 更新节点参数 (PATCH #5)
- [ ] Step 8: 查询节点 handles (POST #6) → 获取各节点的 handle_uuid
- [ ] Step 9: 批量创建边 (POST #7) → 用 handle_uuid 连接节点
- [ ] Step 10: 启动工作流 (POST #8) 或运行单节点 (POST #11)
- [ ] Step 11: 查询任务状态 (GET #10) 确认完成
```
### 典型 5 物料并发加热工作流示例
```
prepare_materials (count=5)
├─ channel_1 → move_to_heating_station (material_number=1) → start_heating → move_to_output
├─ channel_2 → move_to_heating_station (material_number=2) → start_heating → move_to_output
├─ channel_3 → move_to_heating_station (material_number=3) → start_heating → move_to_output
├─ channel_4 → move_to_heating_station (material_number=4) → start_heating → move_to_output
└─ channel_5 → move_to_heating_station (material_number=5) → start_heating → move_to_output
```
创建节点时,`prepare_materials` 的 5 个 output handle`channel_1` ~ `channel_5`)分别连接到 5 个 `move_to_heating_station` 节点的 `material_input` handle。每个 `move_to_heating_station``heating_station_output``material_number_output` 连接到对应 `start_heating``station_id_input``material_number_input`

View File

@@ -1,76 +0,0 @@
# Action Index — virtual_workbench
6 个动作,按功能分类。每个动作的完整 JSON Schema 在 `actions/<name>.json`
---
## 物料准备
### `auto-prepare_materials`
批量准备物料(虚拟起始节点),生成 A1-A5 物料编号,输出 5 个 handle 供后续节点使用
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/prepare_materials.json`](actions/prepare_materials.json)
- **可选参数**: `count`(物料数量,默认 5
---
## 机械臂 & 加热台操作
### `auto-move_to_heating_station`
将物料从 An 位置移动到空闲加热台(竞争机械臂,自动查找空闲加热台)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/move_to_heating_station.json`](actions/move_to_heating_station.json)
- **核心参数**: `material_number`物料编号integer
### `auto-start_heating`
启动指定加热台的加热程序可并行3 个加热台同时工作)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/start_heating.json`](actions/start_heating.json)
- **核心参数**: `station_id`(加热台 ID`material_number`(物料编号)
### `auto-move_to_output`
将加热完成的物料从加热台移动到输出位置 Cn
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/move_to_output.json`](actions/move_to_output.json)
- **核心参数**: `station_id`(加热台 ID`material_number`(物料编号)
---
## 物料转移
### `transfer`
异步转移物料到目标设备(通过 ROS 资源转移)
- **action_type**: `UniLabJsonCommandAsync`
- **Schema**: [`actions/transfer.json`](actions/transfer.json)
- **核心参数**: `resource`, `target_device`, `mount_resource`
- **占位符字段**:
- `resource`**ResourceSlot**,待转移的物料数组 `[{id, name, uuid}, ...]`
- `target_device`**DeviceSlot**,目标设备路径字符串
- `mount_resource`**ResourceSlot**,目标孔位数组 `[{id, name, uuid}, ...]`
---
## 人工确认
### `manual_confirm`
创建人工确认节点,等待用户手动确认后继续(含物料转移上下文)
- **action_type**: `UniLabJsonCommand`
- **Schema**: [`actions/manual_confirm.json`](actions/manual_confirm.json)
- **核心参数**: `resource`, `target_device`, `mount_resource`, `timeout_seconds`, `assignee_user_ids`
- **占位符字段**:
- `resource`**ResourceSlot**,物料数组
- `target_device`**DeviceSlot**,目标设备路径
- `mount_resource`**ResourceSlot**,目标孔位数组
- `assignee_user_ids``unilabos_manual_confirm` 类型

View File

@@ -1,270 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"resource": "resource",
"target_device": "target_device",
"mount_resource": "mount_resource",
"timeout_seconds": "timeout_seconds",
"assignee_user_ids": "assignee_user_ids"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"type": "array"
},
"target_device": {
"type": "string",
"description": "device reference"
},
"mount_resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "mount_resource"
},
"type": "array"
},
"timeout_seconds": {
"type": "integer"
},
"assignee_user_ids": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"resource",
"target_device",
"mount_resource",
"timeout_seconds",
"assignee_user_ids"
],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources",
"assignee_user_ids": "unilabos_manual_confirm"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources",
"assignee_user_ids": "unilabos_manual_confirm"
}
}

View File

@@ -1,19 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"material_number": {
"type": "integer"
}
},
"required": [
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -1,24 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"station_id": "station_id",
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"station_id": {
"type": "integer"
},
"material_number": {
"type": "integer"
}
},
"required": [
"station_id",
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -1,20 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"count": "count"
},
"schema": {
"type": "object",
"properties": {
"count": {
"type": "integer",
"default": 5
}
},
"required": []
},
"goal_default": {
"count": 5
},
"placeholder_keys": {}
}

View File

@@ -1,24 +0,0 @@
{
"type": "UniLabJsonCommand",
"goal": {
"station_id": "station_id",
"material_number": "material_number"
},
"schema": {
"type": "object",
"properties": {
"station_id": {
"type": "integer"
},
"material_number": {
"type": "integer"
}
},
"required": [
"station_id",
"material_number"
]
},
"goal_default": {},
"placeholder_keys": {}
}

View File

@@ -1,255 +0,0 @@
{
"type": "UniLabJsonCommandAsync",
"goal": {
"resource": "resource",
"target_device": "target_device",
"mount_resource": "mount_resource"
},
"schema": {
"type": "object",
"properties": {
"resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "resource"
},
"type": "array"
},
"target_device": {
"type": "string",
"description": "device reference"
},
"mount_resource": {
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"sample_id": {
"type": "string"
},
"children": {
"type": "array",
"items": {
"type": "string"
}
},
"parent": {
"type": "string"
},
"type": {
"type": "string"
},
"category": {
"type": "string"
},
"pose": {
"type": "object",
"properties": {
"position": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z"
],
"title": "position",
"additionalProperties": false
},
"orientation": {
"type": "object",
"properties": {
"x": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"y": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"z": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
},
"w": {
"type": "number",
"minimum": -1.7976931348623157e+308,
"maximum": 1.7976931348623157e+308
}
},
"required": [
"x",
"y",
"z",
"w"
],
"title": "orientation",
"additionalProperties": false
}
},
"required": [
"position",
"orientation"
],
"title": "pose",
"additionalProperties": false
},
"config": {
"type": "string"
},
"data": {
"type": "string"
}
},
"title": "mount_resource"
},
"type": "array"
}
},
"required": [
"resource",
"target_device",
"mount_resource"
],
"_unilabos_placeholder_info": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources"
}
},
"goal_default": {},
"placeholder_keys": {
"resource": "unilabos_resources",
"target_device": "unilabos_devices",
"mount_resource": "unilabos_resources"
}
}

View File

@@ -1,483 +0,0 @@
---
name: yibin-electrolyte-submit
description: >-
通过 Uni-Lab Notebook API 向宜宾电解液工站提交实验覆盖配液分液Bioyond LIMS
扣电组装CoinCellAssembly、扣电测试全流程。
包含 Excel 解析、formulation 构建、工作流节点参数填写、notebook 提交与状态轮询。
Use when the user wants to submit electrolyte experiments, assemble or test coin cells,
parse experiment Excel files, build notebook payloads, or mentions
宜宾/配液/分液/扣电/电解液实验/notebook提交/CoinCell/BioyondLIMS.
---
# 宜宾电解液产线 API 操作指南
本 skill 覆盖两个设备的完整操作流程:
1. **配液分液工站** (`bioyond_cell_workstation`) — Bioyond LIMS 配液/分液/转运
2. **扣电组装站** (`BatteryStation`) — Modbus PLC 扣电组装/数据采集
## 设备信息
| 属性 | 配液分液工站 | 扣电组装站 |
|------|------------|-----------|
| device_id | `bioyond_cell_workstation` | `BatteryStation` |
| 显示名 | 配液分液工站 | 扣电工作站 |
| 源码 | `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py` | `unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py` |
| 类名 | `BioyondCellWorkstation` | `CoinCellAssemblyWorkstation` |
| 通讯 | HTTP REST (Bioyond LIMS API) | Modbus TCP (PLC 寄存器) |
## 前置条件
### 认证信息
```
AUTH="Authorization: Lab OTdlY2FkNmUtZmZmMi00YjhiLThhOWEtNWM5ODAyOTJmOTUxOmU0OGM2YWJkLTA4ZmEtNDFjMy04NzhhLTc4M2FiODlhZjYxMw=="
BASE="https://uni-lab.test.bohrium.com"
```
来源:`--ak 97ecad6e-fff2-4b8b-8a9a-5c980292f951 --sk e48c6abd-08fa-41c3-878a-783ab89af613 --addr test`
### 启动 unilab云端模式
> **重要**:提交实验前必须确保 unilab 正在运行且已连接云端 WebSocket。
```powershell
$env:PYTHONIOENCODING="utf-8"
conda activate newunilab2603
cd D:\UniLabdev\Uni-Lab-OS\unilabos\devices\workstation
unilab -g D:\UniLabdev\Uni-Lab-OS\yibin_electrolyte_config.json --ak 97ecad6e-fff2-4b8b-8a9a-5c980292f951 --sk e48c6abd-08fa-41c3-878a-783ab89af613 --upload_registry --addr test --disable_browser --skip_env_check
```
**启动要点**
1. 必须先激活虚拟环境 `newunilab2603`
2. 工作目录切到 `unilabos/devices/workstation`(设备驱动所在目录)
3. `--upload_registry` 将 64 个设备 + 142 个资源注册到云端
4. `--skip_env_check` + `PYTHONIOENCODING=utf-8` 避免 Windows GBK 编码崩溃
5. 启动后后台运行,等待日志出现 `Application startup complete``Host node ready signal published with 3 devices`
**验证连接成功的标志**
- 日志出现 `[MessageProcessor] ... wss://uni-lab.test.bohrium.com/api/v1/ws/schedule`
- 日志出现 `[WebSocketClient] Host node ready signal published with 3 devices`
- 日志出现 `Resource tree add completed`(资源树同步完成)
### 云端物料上架与入库(启动后必做)
> **在提交实验之前,必须提醒用户完成以下云端操作,否则实验会因物料缺失而失败。**
1. **拖拽上料**:在云端 UI`$BASE/laboratory/<lab_uuid>`)的资源树视图中,将物料拖拽到对应的仓库/库位上。unilab 启动后资源树会自动同步到云端,但物料的**上架位置**需要用户在 UI 上手动确认或调整。
2. **确认配液物料入库**:确保所有配液实验需要的试剂(如 LiPF6、EC、DMC、EMC 等)已在 LIMS 系统中完成入库。可通过以下方式验证:
- 云端 UI 资源树中对应仓库(如"粉末加样头堆栈"、"配液站内试剂仓库")下有物料节点
- 或通过 API #8 获取资源树后检查物料节点是否存在
3. **告知 AI 可以提交**:用户完成上述操作后,告知 AI "物料已上架,可以提交实验"AI 再执行 notebook 提交流程。
**提醒话术模板**AI 应在启动成功后发送给用户):
```
unilab 已成功启动并连接云端。提交实验前请完成以下操作:
1. 在云端 UI 上确认资源树中的物料位置,必要时拖拽调整上料位
2. 确保配液所需的试剂(粉末、液体)已在 LIMS 中完成入库
3. 完成后告诉我,我将为您提交实验
```
### 生成 Action Schema首次使用
启动 unilab 后,在 `unilabos_data/` 目录下会生成 `req_device_registry_upload.json`。运行以下命令提取两个设备的 action JSON
```bash
python .cursor/skills/create-device-skill/scripts/extract_device_actions.py --registry unilabos_data/req_device_registry_upload.json bioyond_cell_workstation .cursor/skills/yibin-electrolyte-submit/actions/
python .cursor/skills/create-device-skill/scripts/extract_device_actions.py --registry unilabos_data/req_device_registry_upload.json BatteryStation .cursor/skills/yibin-electrolyte-submit/actions/
```
## 请求约定
- Windows 平台**必须用 `curl.exe`**(非 PowerShell 的 curl 别名)
- 所有请求带 `$AUTH`
- URL 格式:`$BASE/api/v1/<endpoint>`
- POST/PATCH 请求体写入临时 JSON 文件后用 `-d '@tmp.json'` 传参(避免 PowerShell 转义问题)
- 本地 API 基址:`http://127.0.0.1:8002/api/v1/`
## Session State
每次会话开始时,依次获取以下信息:
```bash
# 1. lab_uuid
curl.exe -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
# → data.uuid → $lab_uuid
# 2. project_uuid
curl.exe -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
# → data.items[].uuid/name → 让用户选择或取唯一项 → $project_uuid
```
## 工作流模板(重要)
> **必须向用户索要已有的工作流模板 UUID 或 URL不要自行创建。**
>
> 原因:通过 `edge/workflow/node` API 创建节点会报 `resource_node_template not found`——
> 云端的工作流节点模板系统和设备注册表是独立的,需要用户在云端 UI 上预先配置好工作流模板。
**获取方式**
- 用户提供工作流页面 URL`$BASE/laboratory/<lab_uuid>/workflow/<workflow_uuid>`
- 从 URL 中提取 `workflow_uuid`
- 用 API 获取模板详情:
```
GET /api/v1/lab/workflow/template/detail/<workflow_uuid>
```
返回 `data.nodes[]`:每个节点的 uuid、name、param、device_name、handles、disabled。
**示例**
```
工作流 URL: https://uni-lab.test.bohrium.com/laboratory/e9ed9102-d709-4741-b7a0-d1e8578e2065/workflow/b49f80d9-58d6-4456-a521-56f4dd39cda0
→ workflow_uuid = b49f80d9-58d6-4456-a521-56f4dd39cda0
```
从模板详情中提取**未 disabled** 的节点的 `uuid``name`,后续提交 notebook 时使用。
## API Endpoints
### #1 获取 lab_uuid
```
GET /api/v1/edge/lab/info
```
### #2 列出项目
```
GET /api/v1/lab/project/list?lab_uuid=$lab_uuid
```
返回 `data.items[]`,取 `uuid``name`
### #3 获取工作流模板详情
```
GET /api/v1/lab/workflow/template/detail/<workflow_uuid>
```
返回 `data.nodes[]`:每个节点的 uuid、name、param、device_name、handles。
提取活跃节点(`disabled != true`)的 `uuid` 用于构建 notebook 请求。
### #4 提交实验(创建 notebook— 核心 API
```
POST /api/v1/lab/notebook
Body: {
"lab_uuid": "<lab_uuid>",
"project_uuid": "<project_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"sample_uuids": [],
"datas": [
{
"node_uuid": "<模板中的节点UUID>",
"param": { <参数键值对> },
"sample_params": []
}
]
}
]
}
```
**关键注意事项**
- `node_params` 是数组,每个元素代表一轮实验
- `datas` 中每个节点对应模板中的一个活跃节点
- `param` 中的字段名**必须使用 Python 函数参数名**,不能用模板中存储的 LIMS 字段名(见下方映射表)
### #5 查询 notebook 状态
```
GET /api/v1/lab/notebook/status?uuid=<notebook_uuid>
```
| status | 含义 |
|--------|------|
| `running` | 执行中 |
| `success` | 成功 |
| `fail` | 失败 |
### #6 运行设备单动作(本地 API
```
POST http://127.0.0.1:8002/api/v1/job/add
Body: {
"device_id": "<device_id>",
"action": "<action_name>",
"action_args": { <参数键值对> },
"sample_material": {}
}
```
本地 API 可自动解析 `action_type`,无需手动指定。适用于快速调试或云端未连接时。
### #7 查询本地任务状态
```
GET http://127.0.0.1:8002/api/v1/job/<job_id>/status
```
| status | 含义 |
|--------|------|
| 0 | UNKNOWN |
| 1 | ACCEPTED |
| 2 | EXECUTING |
| 4 | SUCCEEDED |
| 5 | CANCELED |
| 6 | ABORTED |
### #8 获取资源树
```
GET /api/v1/lab/material/download/<lab_uuid>
```
返回所有节点(`id`, `name`, `uuid`, `type`, `parent`)。填写 Slot 字段时用此接口筛选节点。
## Placeholder Slot 填写规则
action JSON 中 `placeholder_keys` 标记了哪些字段需要填 Slot
| placeholder 值 | Slot 类型 | 填写格式 |
|---------------|-----------|---------|
| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` |
| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` 路径字符串 |
| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` 路径字符串 |
| `unilabos_class` | ClassSlot | `"class_name"` 字符串 |
| `unilabos_formulation` | FormulationSlot | `[{well_name, liquids: [{name, volume}]}]` |
### ResourceSlot 填写
从 API #8 资源树中筛选**物料**节点:
```json
{"id": "/bioyond_cell_workstation/YB_Bioyond_Deck/自动堆栈-左", "name": "自动堆栈-左", "uuid": "3a19debc-..."}
```
数组字段:`[{id, name, uuid}, ...]`
特例:`create_resource``res_id` 允许填不存在的路径。
### DeviceSlot 填写
从资源树筛选 `type=device` 的节点,填路径字符串:
```
"/BatteryStation"
"/bioyond_cell_workstation"
```
### FormulationSlot 填写
```json
[
{
"sample_uuid": "",
"well_name": "YB_PrepBottle_15mL_Carrier_bottle_A1",
"liquids": [
{ "name": "LiPF6", "mass": 12.5 },
{ "name": "EC", "mass": 50.0 }
]
}
]
```
`well_name` 从资源树中取物料节点的 `name`
## 参数名映射(重要的坑)
> 工作流模板中存储的参数名和 Python 函数实际接受的参数名**不一定相同**。
> 提交 notebook 时必须使用 **Python 函数参数名**。
### `create_orders_formulation` 参数映射
| 模板中的 param 键 | 实际 Python 参数名 | 说明 |
|-------------------|-------------------|------|
| `pouch_cell_info` | `pouch_cell_volume` | 软包组装分液体积 (mL) |
| `conductivity_info` | `conductivity_volume` | 电导测试分液体积 (mL) |
| `load_shedding_info` | `coin_cell_volume` | 扣电组装分液体积 (mL) |
| `formulation` | `formulation` | 配方数组(名称一致) |
| `batch_id` | `batch_id` | 批次号(名称一致) |
| `bottle_type` | `bottle_type` | 配液瓶类型(名称一致) |
| `mix_time` | `mix_time` | 混匀时间(秒)(名称一致) |
| `conductivity_bottle_count` | `conductivity_bottle_count` | 电导瓶数(名称一致) |
当从模板中读到 `param` 包含 `pouch_cell_info` 等 LIMS 字段名时,提交 notebook 时要用右列的 Python 函数参数名。否则会报 `TypeError: got an unexpected keyword argument`
## 典型工作流
### 方式一:通过 Notebook API 批量提交(推荐)
**适用场景**:多组配方的批量实验,云端管理实验记录
```
1. 向用户索要工作流模板 URL不要自行创建
2. 获取 lab_uuidAPI #1和 project_uuidAPI #2
3. 获取工作流模板详情API #3提取活跃节点 UUID
4. 解析用户提供的 Excel 文件,构建 formulation 数组
5. 提交 notebookAPI #4
6. 轮询 notebook 状态API #5直到完成
```
**Excel 解析规则**
- 全局参数在第一个数据行:`batch_id``bottle_type``mix_time``coin_cell_volume``pouch_cell_volume``conductivity_volume``conductivity_bottle_count`
- 配方列从"试剂名1"开始,交替排列:试剂名列 + 质量列(以 `(g)` 结尾)
- 每行一个配方,`order_name` = 配方ID列
- formulation 中每个配方的 materials 数组只包含 `mass > 0` 的试剂
**node_params 构建**:所有配方放入同一个 round 的同一个 datas 条目中,因为只有一个节点(`create_orders_formulation`)。
### 方式二:设备单步操作(本地 API
**适用场景**:调试、快速测试
```
1. 确保 unilab 已在本地启动
2. 通过 POST http://127.0.0.1:8002/api/v1/job/add 提交任务
3. 通过 GET /api/v1/job/<job_id>/status 查询状态
```
### 设备操作流程:配液 → 转运 → 扣电
```
1. [配液站] scheduler_start_and_auto_feeding → 启动调度 + 上料
2. [配液站] create_orders_formulation → 创建配液实验(配方输入)
3. [配液站] transfer_3_to_2_to_1_auto → 分液瓶板转运到扣电站
4. [扣电站] func_pack_device_init_auto_start_combined → 初始化+自动+启动
5. [扣电站] func_sendbottle_allpack_multi → 发送瓶数+批量组装
```
## 云端使用心得
### 环境准备
- Windows 必须设置 `$env:PYTHONIOENCODING="utf-8"` 防止编码崩溃
- 使用 `--skip_env_check` 跳过依赖检查,加快启动
- 工作目录建议在 `unilabos/devices/workstation` 下启动
### 连接与注册
- `--upload_registry` 会自动将设备和资源注册到云端
- WebSocket 连接建立后,本地和云端的资源树会自动同步
- 注册成功后用户需在云端 UI 完成**物料拖放上架**操作
- 如果 unilab 断开重连,资源树会重新同步
### 工作流模板
- **不要自行调用 API 创建工作流或节点**——云端工作流节点模板需要预配置
- 始终向用户索要已有的工作流模板 URL
- 从 URL 中提取 `workflow_uuid`,通过 API #3 获取详情
- 模板中 `disabled: true` 的节点跳过,只处理活跃节点
### Notebook 实验提交
- Notebook 是云端管理实验的标准方式
- 一个 notebook 可包含多轮(`node_params` 数组),每轮可包含多组参数
- 提交后通过 API #5 轮询状态LIMS 配液流程通常需要较长时间8 个配方约 30-60 分钟)
- 实验进度可在云端 UI 和本地 unilab 日志中同步查看
### 常见错误
| 错误 | 原因 | 解决 |
|------|------|------|
| `edge not started error` | unilab 未连接云端 WebSocket | 检查 unilab 是否在运行、重启 |
| `resource_node_template not found` | 云端没有该设备的工作流模板 | 向用户索要已有模板,不要自行创建 |
| `got an unexpected keyword argument` | 参数名用了模板字段名而非 Python 函数参数名 | 参照上方映射表转换 |
| `UnicodeEncodeError: 'gbk'` | Windows 默认编码不支持特殊字符 | 设置 `PYTHONIOENCODING=utf-8` |
| `parse parameter error` | 云端 API 字段名错误 | `device_id` (非 `device_name`)、`action` (非 `action_name`)、必须带 `action_type` |
## 渐进加载策略
1. 先读本文件了解 API 端点、参数映射和云端注意事项
2. 需要具体 action 参数时,读 [action-index.md](action-index.md) 查找 action 名称和核心参数
3. 需要完整 schema 时,读 `actions/<action_name>.json`(需先运行提取命令生成)
4. 需要理解参数含义时,读设备源码
## 完整 Notebook 提交 Checklist
```
- [ ] 确认 unilab 已在本地启动并连接云端 WebSocket
- [ ] 提醒用户在云端 UI 拖拽上料、确认物料位置
- [ ] 提醒用户确认配液所需试剂已在 LIMS 完成入库
- [ ] 等待用户确认物料就绪后再继续
- [ ] 向用户索要工作流模板 URL → 提取 workflow_uuid
- [ ] 获取 lab_uuidAPI #1
- [ ] 获取 project_uuidAPI #2
- [ ] 获取工作流模板详情API #3提取活跃节点 UUID
- [ ] 解析用户 Excel 文件 → 构建 formulation + 全局参数
- [ ] 注意参数名映射(模板字段名 → Python 函数参数名)
- [ ] 提交 notebookAPI #4
- [ ] 轮询 notebook 状态API #5直到完成
```
---
## 真实场景:宜宾产线 Excel 提交提示词模板
> 以下为已验证可用的标准提示词,适用于配液-分液-扣电全流程。
### 场景说明
- unilab 运行在本地 Windows 机器miniforge 环境),连接云端 WebSocket
- AICursor / OpenClaw在任意设备上通过云端 API 操作,**不需要本地 127.0.0.1**
- 工作流为 5 节点串联:`create_orders_formulation``transfer_3_to_2_to_1_auto``func_pack_device_init_auto_start_combined``func_sendbottle_allpack_multi``transfer_1_to_2`
### 已知固定参数(宜宾产线)
```
BASE = https://uni-lab.test.bohrium.com
lab_uuid = e9ed9102-d709-4741-b7a0-d1e8578e2065
project = YiBinElectrolyte (bc5224b4-8120-4765-9961-9dfc1802a1f6)
workflow = 配液分液formulation全流程 (2bc59938-db79-4415-ac2d-9897ef125f2f)
```
#### 工作流节点 UUID固定无需重新查询
| 顺序 | action | node_uuid |
|------|--------|-----------|
| Step1 | auto-create_orders_formulation | `ece6744a-81ac-4ae4-8cd1-1c8eeda1dab6` |
| Step2 | auto-transfer_3_to_2_to_1_auto | `1c37a8dd-5ba0-413d-81db-94b9c936a171` |
| Step3 | auto-func_pack_device_init_auto_start_combined | `97a676a2-d257-4479-9096-073b40300970` |
| Step4 | auto-func_sendbottle_allpack_multi | `cf69017a-d29c-4aad-a63b-309d63dac2e9` |
| Step5 | auto-transfer_1_to_2 | `80d1c1aa-dbc3-4601-86b7-5c22a992dd9e` |
### 标准提示词
```
请使用 yibin-electrolyte-submit skill提交以下实验
工作流模板 URLhttps://uni-lab.test.bohrium.com/laboratory/e9ed9102-d709-4741-b7a0-d1e8578e2065/workflow/2bc59938-db79-4415-ac2d-9897ef125f2f
Excel 文件路径:<粘贴或上传 xlsx 路径>
注意事项:
- lab_uuid、project_uuid、workflow节点UUID均已固定无需重新查询
- 直接解析 Excel → 构建 payload → 提交
- mix_time 传标量整数即可(已兼容)
- 试剂名以 Excel 为准,注意区分 LiDFOB / LiDOFB 等拼写
- csv_export_path 取 Excel 中 csv_export_path 列的值
- 提交后告知 notebook UUID无需自动轮询实验耗时较长
```
### Excel 列结构说明experment_template_0415sim-*.xlsx
| 列范围 | 内容 |
|--------|------|
| C | batch_id |
| D | bottle_type |
| E-H | coin_cell_volume / conductivity_bottle_count / conductivity_volume / csv_export_path |
| I-T | 试剂名+质量 交替排列最多6对|
| U | mix_time |
| V | order_name每行配方的订单号|
| W | pouch_cell_volume |
| X-Y | target_device / target_locationStep2参数|
| AA | material_search_enableStep3参数|
| AB-AS | 扣电站参数Step4|
### CSV 导出说明
每次 `create_orders_formulation` 完成后,在 `csv_export_path` 目录下生成:
```
electrolyte_orders_<YYYYMMDD_HHMMSS>.csv
```
列:`orderCode, orderName, 配液瓶类型, 配液瓶二维码, 分液瓶类型, 分液瓶二维码, 目标配液质量比, 真实配液质量比, 时间`
> **注意**barCode 为 `null` 或 `"nullBarCode123456"` 是正常现象,表示 LIMS 中该物料尚未扫码。配液瓶缺失通常是因为物料未放在手动传递窗(`locationId` 前缀 `3a19deae-2c7a-`)。

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@@ -1,295 +0,0 @@
# Action 索引
> Action JSON 文件需运行提取命令生成,详见 [SKILL.md](SKILL.md) 中「生成 Action Schema」。
> 以下描述和参数信息基于源码分析。
---
## 配液分液工站 (`bioyond_cell_workstation`)
源码:`unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
### 调度控制
#### `scheduler_start`
启动 Bioyond LIMS 调度系统
- **核心参数**: 无(仅需 apiKey/requestTime由设备内部处理
- **返回**: LIMS 响应 `{code, message, data}`
#### `scheduler_stop`
停止调度
- **核心参数**: 无
#### `scheduler_continue`
继续调度(从暂停状态恢复)
- **核心参数**: 无
#### `scheduler_reset`
复位调度
- **核心参数**: 无
#### `scheduler_start_and_auto_feeding`
**组合操作**:启动调度 + 自动化上料4号→3号手套箱
- **核心参数**: `xlsx_path`Excel 物料模板路径,可选)
- **可选参数**: WH4 加样头面 12 个点位materialName + quantity、WH4 原液瓶面 9 个点位materialName + quantity + materialType + targetWH、WH3 人工堆栈 15 个点位materialType + materialId + quantity
- **流程**: 先 `scheduler_start()`,成功后执行 `auto_feeding4to3()`
- **备注**: 支持 Excel 模式和手动参数模式Excel 路径存在时优先使用 Excel
### 物料上料/下料
#### `auto_feeding4to3`
自动化上料:从 4 号手套箱转运物料到 3 号手套箱
- **核心参数**: `xlsx_path`Excel 物料模板路径)
- **可选参数**: 同 `scheduler_start_and_auto_feeding` 的 WH4/WH3 点位参数
- **返回**: 等待上料任务完成后返回结果
#### `auto_batch_outbound_from_xlsx`
自动化下料(从 Excel 读取下料信息)
- **核心参数**: `xlsx_path`Excel 下料模板)
- **Excel 列**: locationId, warehouseId, 数量, x, y, z
### 物料管理
#### `create_and_inbound_materials`
批量创建固体物料并入库
- **核心参数**: `material_names`(物料名称列表,默认 `["LiPF6", "LiDFOB", "DTD", "LiFSI", "LiPO2F2"]`
- **可选参数**: `type_id`物料类型ID, `warehouse_name`(目标仓库,默认 "粉末加样头堆栈"
- **流程**: 创建物料 → 批量入库 → 同步
#### `create_material`
创建单个物料并可选入库
- **核心参数**: `material_name`, `type_id`, `warehouse_name`
- **可选参数**: `location_name_or_id`(库位编号如 "A01" 或 UUID
#### `create_sample`
创建配液板物料(含子瓶)并入库
- **核心参数**: `name`, `board_type`(如 "5ml分液瓶板", `bottle_type`(如 "5ml分液瓶", `location_code`(如 "A01"
- **可选参数**: `warehouse_name`(默认 "手动堆栈"
- **备注**: 自动创建 2x4=8 个子瓶
#### `storage_inbound`
单个物料入库
- **核心参数**: `material_id`, `location_id`
#### `storage_batch_inbound`
批量物料入库
- **核心参数**: `items``[{materialId, locationId}, ...]`
### 配液实验
#### `create_orders`
从 Excel 文件创建配液实验订单
- **核心参数**: `xlsx_path`Excel 文件路径)
- **Excel 列**: 配方ID, 创建日期, 配液瓶类型, 混匀时间(s), 扣电组装分液体积, 软包组装分液体积, 电导测试分液体积, 电导测试分液瓶数, 以及所有以 `(g)` 结尾的物料列
- **流程**: 解析 Excel → 提交订单 → 等待全部完成 → 计算质量比 → 提取分液瓶板 → 创建资源树对象
- **返回**: `{status, total_orders, bottle_count, reports, mass_ratios, vial_plates}`
#### `create_orders_formulation`
从配方列表创建配液实验订单(前端/API 输入版本)
- **核心参数**: `formulation`(配方数组)
- **可选参数**: `batch_id`, `bottle_type`(默认 "配液小瓶", `mix_time`(秒,列表), `coin_cell_volume`, `pouch_cell_volume`, `conductivity_volume`, `conductivity_bottle_count`
- **formulation 格式**:
```json
[
{
"order_name": "配方A",
"materials": [
{"name": "LiPF6", "mass": 12.5},
{"name": "EC", "mass": 50.0},
{"name": "DMC", "mass": 37.5}
]
}
]
```
- **返回**: 同 `create_orders`
### 物料转运
#### `transfer_3_to_2_to_1_auto`
**自动转运**:从 create_orders 结果中自动定位分液瓶板并转运到目标设备
- **核心参数**: `vial_plates`(分液瓶板列表,来自 create_orders 返回的 `vial_plates`
- **可选参数**: `target_device`(默认 "BatteryStation", `target_location`(默认 "bottle_rack_6x2", `mass_ratios`(配方信息)
- **流程**: 遍历瓶板 → 解析 locationId → 调用 LIMS 转运 API → 更新资源树
- **返回**: `{total, success, failed, results}`
#### `transfer_3_to_2_to_1`
3→2→1 物料转运(手动指定坐标)
- **核心参数**: `source_wh_id`, `source_x`, `source_y`, `source_z`
#### `transfer_3_to_2`
3→2 物料转运
- **核心参数**: `source_wh_id`, `source_x`, `source_y`, `source_z`
#### `transfer_1_to_2`
1→2 物料转运
- **核心参数**: 无
### 查询
#### `order_list_v2`
批量查询实验报告
- **可选参数**: `timeType`, `beginTime`, `endTime`, `status`60=运行中, 80=完成, 90=失败), `filter`, `skipCount`, `pageCount`, `sorting`
---
## 扣电组装站 (`BatteryStation`)
源码:`unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`
### 设备控制(组合操作)
#### `func_pack_device_init_auto_start_combined`
**组合操作**:设备初始化 → 物料搜寻确认 → 切换自动模式 → 启动
- **核心参数**: `material_search_enable`(是否启用物料搜寻,默认 `False`
- **前置检查**: REG_UNILAB_INTERACT=False, COIL_GB_L_IGNORE_CMD=False, 所有握手寄存器无残留
- **流程**: 手动模式 → 初始化命令 → 监测物料搜寻弹窗并自动处理 → 自动模式 → 启动
- **返回**: `True`/`False`
- **备注**: 第一次运行必须调用此函数;后续批次调用 `func_sendbottle_allpack_multi`
### 批量组装
#### `func_sendbottle_allpack_multi`
**发送瓶数 + 批量组装**(适用于第二批次及后续批次)
- **核心参数**: `elec_num`(电解液瓶数), `elec_use_num`(每瓶组装电池数), `elec_vol`(电解液吸液量 μL默认 50
- **可选参数**:
- 双滴模式:`dual_drop_mode`(bool), `dual_drop_first_volume`(μL), `dual_drop_suction_timing`(bool), `dual_drop_start_timing`(bool)
- 组装参数:`assembly_type`(7=不用铝箔垫/8=用), `assembly_pressure`(N默认 4200)
- 物料参数:`fujipian_panshu`, `fujipian_juzhendianwei`, `gemopanshu`, `gemo_juzhendianwei`, `qiangtou_juzhendianwei`
- 开关:`lvbodian`(铝箔垫片), `battery_pressure_mode`(压力模式), `battery_clean_ignore`(忽略清洁)
- 其他:`file_path`(CSV保存路径), `formulations`(配方信息用于CSV追溯)
- **流程**: 发送瓶数触发物料搬运 → 设置PLC参数 → 循环等待PLC请求→下发参数→读取电池数据→写入CSV→更新资源树→ 完成握手
- **返回**: `{success, total_batteries, batteries, summary}`
- **备注**: 设备已初始化后直接调用;`formulations` 来自 create_orders 的 `mass_ratios`
#### `func_allpack_cmd`
全套组装(基础版本,含断点续传)
- **核心参数**: `elec_num`, `elec_use_num`, `elec_vol`, `assembly_type`, `assembly_pressure`, `file_path`
- **返回**: `{success, total_batteries, batteries, summary}`
#### `func_allpack_cmd_simp`
增强版组装(含双滴模式 + 负极片/隔膜/枪头参数)
- **核心参数**: 同 `func_sendbottle_allpack_multi`
- **备注**: 被 `func_sendbottle_allpack_multi` 内部调用
### 设备控制(单步操作)
#### `func_pack_device_init`
设备初始化(手动模式 → 初始化 → 复位标志)
#### `func_pack_device_auto`
切换自动模式
#### `func_pack_device_start`
启动设备
#### `func_pack_device_stop`
设备停止
#### `func_pack_send_bottle_num`
发送电解液瓶数(触发物料搬运)
- **核心参数**: `bottle_num`(瓶数)
### PLC 参数设置
#### `qiming_coin_cell_code`
设置组装物料参数
- **核心参数**: `fujipian_panshu`(负极片盘数)
- **可选参数**: `fujipian_juzhendianwei`, `gemopanshu`, `gemo_juzhendianwei`, `lvbodian`, `battery_pressure_mode`, `battery_pressure`, `battery_clean_ignore`
### 数据采集
#### `func_read_data_and_output`
持续数据采集并导出 CSV后台循环运行
- **核心参数**: `file_path`CSV 保存目录)
- **采集字段**: 开路电压, 极片质量, 组装时间, 压制力, 电解液加注量, 电池类型, 电解液二维码, 电池二维码
#### `func_stop_read_data`
停止 CSV 数据采集
### 设备状态属性(只读)
| 属性 | 类型 | 说明 |
|------|------|------|
| `sys_status` | str | 设备状态(启动中/停止中/复位中/初始化中) |
| `sys_mode` | str | 设备模式(手动/自动) |
| `data_assembly_coin_cell_num` | int | 已完成电池数量 |
| `data_assembly_time` | float | 单颗电池组装时间(秒) |
| `data_open_circuit_voltage` | float | 开路电压(V) |
| `data_pole_weight` | float | 正极片称重(g) |
| `data_glove_box_pressure` | float | 手套箱压力(mbar) |
| `data_glove_box_o2_content` | float | 手套箱氧含量(ppm) |
| `data_glove_box_water_content` | float | 手套箱水含量(ppm) |
| `data_coin_cell_code` | str | 电池二维码 |
| `data_electrolyte_code` | str | 电解液二维码 |
---
## 配置参考
设备图文件 `yibin_electrolyte_config.json` 中的仓库映射(`warehouse_mapping`
| 仓库名称 | 说明 | 典型操作 |
|---------|------|---------|
| 粉末加样头堆栈 | 20 个点位 (A01-T01) | `create_and_inbound_materials` 入库目标 |
| 配液站内试剂仓库 | 9 个点位 (A01-C03) | 试剂存储 |
| 自动堆栈-左 | 4 个点位 | 分液瓶板存放,`transfer_3_to_2_to_1_auto` 的源位置 |
| 自动堆栈-右 | 4 个点位 | 分液瓶板存放 |
| 手动传递窗左/右 | 各 15 个点位 | 人工上料/下料 |
| 4号手套箱内部堆栈 | 12 个点位 | `auto_feeding4to3` 的源位置 |

5
.gitignore vendored
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@@ -251,7 +251,4 @@ ros-humble-unilabos-msgs-0.9.13-h6403a04_5.tar.bz2
*.bz2
test_config.py
# Local config files with secrets
yibin_coin_cell_only_config.json
yibin_electrolyte_config.json
yibin_electrolyte_only_config.json

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@@ -1,72 +0,0 @@
# CSV 导出功能变更概要
## 修改的文件
### 1. [bioyond_cell_workstation.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py)
#### 新增导入
- `import csv``import os`L14-15
#### 新增方法
| 方法 | 功能 |
|------|------|
| `_extract_prep_bottle_from_report` | 从 order_finish 报文提取**配液瓶**信息每订单最多1个 |
| `_extract_vial_bottles_from_report` | 从 order_finish 报文提取**分液瓶**信息(每订单可多个,返回数组) |
| `_export_order_csv` | 汇总所有信息写入 CSV 文件 |
#### 配液瓶筛选逻辑 (`_extract_prep_bottle_from_report`)
- `typemode="1"`, `realQuantity=1`, `usedQuantity=1`
- `locationId``3a19deae-2c7a-` 开头(手动传递窗)
- LIMS API 二次确认:`typeName` 含"配液瓶(小)"或"配液瓶(大)"
#### 分液瓶筛选逻辑 (`_extract_vial_bottles_from_report`)
- `typemode="1"`, `realQuantity=1`, `usedQuantity=1`
- `locationId``3a19debc-84b5-``3a19debe-5200` 开头(自动堆栈-左/右)
- LIMS API 二次确认:`typeName` 为"5ml分液瓶"或"20ml分液瓶"
- **返回数组**,支持 1×5ml + n×20ml 的组合
#### 修改的方法
| 方法 | 变更 |
|------|------|
| `_submit_and_wait_orders` | 新增配液瓶+分液瓶提取步骤,将 `prep_bottles``vial_bottles` 存入 `final_result` |
| `create_orders` | 添加 `csv_export_path` 参数,末尾调用 `_export_order_csv` |
| `create_orders_formulation` | 添加 `csv_export_path` 参数,末尾调用 `_export_order_csv` |
#### CSV 输出格式
```
orderCode, orderName, 配液瓶类型, 配液瓶二维码, 分液瓶类型, 分液瓶二维码, 目标配液质量比, 真实配液质量比, 时间
```
- 单个分液瓶时直接写值;多个分液瓶时类型和二维码用 JSON 数组表示
- CSV 编码使用 `utf-8-sig`(兼容 Excel 打开)
- `csv_export_path` 默认为空字符串,不传则不导出(向后兼容)
---
### 2. [bioyond_cell.yaml](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/registry/devices/bioyond_cell.yaml)
为两个 action 注册了 `csv_export_path` 参数:
- `auto-create_orders`: `goal_default` + `schema.properties.goal.properties` 中添加 `csv_export_path`
- `auto-create_orders_formulation`: 同上
---
### 3. [coin_cell_assembly.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py) 的 CSV 改动与全流程追溯
`bioyond_cell_workstation.py``_submit_and_wait_orders` 最后阶段,提取 `prep_bottles`(配液瓶)和 `vial_bottles`(分液瓶)的条码并随 `mass_ratios` 数组一起下发给各下游工站(例如扣电组装站),实现跨站的全流程配方追溯。
并在扣电站生成的 `date_xxx.csv` 中,**替换并新增**了以下列:
- 移除了原有的 `formulation_order_code` 与合并的 `formulation_ratio` 列。
- 新增 `orderName` 导出
- 新增 `prep_bottle_barcode`(奔曜传递的配液瓶二维码)
- 新增 `vial_bottle_barcodes`(奔曜传递的分液瓶二维码,多瓶时存 JSON 数组)
- 新增 `target_mass_ratio` 理论目标质量比
- 新增 `real_mass_ratio` 实际称量真实质量比
*注意:这与操作人员在手套箱内扫码传入扣电站的 `electrolyte_code` 是单独记录的,方便做数据核对。*
## 向后兼容性
- `csv_export_path` 默认值为 `""`(空字符串),现有调用不受影响
- 新增的 `prep_bottles``vial_bottles` 字段为 `final_result``mass_ratios` 内部的新增附属字段,不破坏现有数据结构。

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@@ -1,168 +0,0 @@
# 变更说明 2026-03-24
## 问题背景
`BioyondElectrolyteDeck`(原 `BIOYOND_YB_Deck`)迁移后,前端物料未能正常上传/同步。
---
## 修复内容
### 1. `unilabos/resources/bioyond/decks.py`
- 补回 `setup: bool = False` 参数及 `if setup: self.setup()` 逻辑,与旧版 `BIOYOND_YB_Deck` 保持一致
- 工厂函数 `bioyond_electrolyte_deck` 保留显式调用 `deck.setup()`,避免重复初始化
```python
# 修复前(缺少 setup 参数,无法通过 setup=True 触发初始化)
def __init__(self, name, size_x, size_y, size_z, category):
super().__init__(...)
# 修复后
def __init__(self, name, size_x, size_y, size_z, category, setup: bool = False):
super().__init__(...)
if setup:
self.setup()
```
---
### 2. `unilabos/resources/graphio.py`
- 修复 `resource_bioyond_to_plr` 中两处 `bottle.tracker.liquids` 直接赋值导致的崩溃
- `ResourceHolder`(如枪头盒的 TipSpot 槽位)没有 `tracker` 属性,直接访问会抛出 `AttributeError`,阻断整个 Bioyond 同步流程
```python
# 修复前
bottle.tracker.liquids = [...]
# 修复后
if hasattr(bottle, 'tracker') and bottle.tracker is not None:
bottle.tracker.liquids = [...]
```
---
### 3. `unilabos/app/main.py`
- 保留 `file_path is not None` 条件不变(已还原),并补充注释说明原因
- 该逻辑只在**本地文件模式**下有意义:本地 graph 文件只含设备结构远端有已保存物料merge 才能将两者合并
- 远端模式(`file_path=None`)下,`resource_tree_set``request_startup_json` 来自同一份数据merge 为空操作,条件是否加 `file_path is not None` 对结果没有影响
---
### 4. `unilabos/devices/workstation/bioyond_studio/station.py` ⭐ 核心修复
- 当 deck 通过反序列化创建时,不会自动调用 `setup()`,导致 `deck.children` 为空,`warehouses` 始终是 `{}`
- 增加兜底逻辑:仓库扫描后仍为空,则主动调用 `deck.setup()` 初始化仓库
- 这是导致所有物料放置失败(`warehouse '...' 在deck中不存在。可用warehouses: []`)的根本原因
```python
# 新增兜底
if not self.deck.warehouses and hasattr(self.deck, "setup") and callable(self.deck.setup):
logger.info("Deck 无仓库子节点,调用 setup() 初始化仓库")
self.deck.setup()
```
---
---
## 补充修复 2026-03-25依华扣电组装工站子物料未上传
### 问题
`CoinCellAssemblyWorkstation.post_init` 直接上传空 deck未调用 `deck.setup()`,导致:
- 前端子物料(成品弹夹、料盘、瓶架等)不显示
- 运行时 `self.deck.get_resource("成品弹夹")` 抛出 `ResourceNotFoundError`
### 修复文件
**`unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py`**
- `YihuaCoinCellDeck.__init__` 补回 `setup: bool = False` 参数及 `if setup: self.setup()` 逻辑
**`unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`**
- `post_init` 中增加与 Bioyond 工站相同的兜底逻辑deck 无子节点时调用 `deck.setup()` 初始化
```python
# post_init 中新增
if self.deck and not self.deck.children and hasattr(self.deck, "setup") and callable(self.deck.setup):
logger.info("YihuaCoinCellDeck 无子节点,调用 setup() 初始化")
self.deck.setup()
```
### 联动 Bug`MaterialPlate.create_with_holes` 构造顺序错误
**现象**`deck.setup()` 被调用后,启动时抛出:
```
设备后初始化失败: Must specify either `ordered_items` or `ordering`.
```
**根因**`create_with_holes` 原来的逻辑是先构造空的 `MaterialPlate` 实例,再 assign 洞位:
```python
# 旧错误cls(...) 时 ordered_items=None → ItemizedResource.__init__ 立即报错
plate = cls(name=name, ...) # ← 这里就崩了
holes = create_ordered_items_2d(...) # ← 根本没走到这里
for hole_name, hole in holes.items():
plate.assign_child_resource(...)
```
pylabrobot 的 `ItemizedResource.__init__` 强制要求 `ordered_items``ordering` 必须有一个不为 `None`,空构造直接失败。
**修复**:先建洞位,再作为 `ordered_items` 传给构造函数:
```python
# 新(正确):先建洞位,再一次性传入构造函数
holes = create_ordered_items_2d(klass=MaterialHole, num_items_x=4, ...)
return cls(name=name, ..., ordered_items=holes)
```
> 此 bug 此前未被触发,是因为 `deck.setup()` 从未被调用到——正是上面 `post_init` 兜底修复引出的联动问题。
---
## 补充修复 2026-03-253→2→1 转运资源同步失败
### 问题
配液工站Bioyond完成分液后调用 `transfer_3_to_2_to_1_auto` 将分液瓶板转运到扣电工站BatteryStation。物理 LIMS 转运成功,但数字孪生资源树同步始终失败:
```
[资源同步] ❌ 失败: 目标设备 'BatteryStation' 中未找到资源 'bottle_rack_6x2'
```
### 根因
`_get_resource_from_device` 方法负责跨设备查找资源对象,有两个问题:
1. **原始路径完全失效**:尝试 `from unilabos.app.ros2_app import get_device_plr_resource_by_name`,但该模块不存在,`ImportError``except Exception: pass` 静默吞掉
2. **降级路径搜错地方**:遍历 `self._plr_resources`Bioyond 自己的资源),不可能找到 BatteryStation 的 `bottle_rack_6x2`
### 修复文件
**`unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`**
改用全局设备注册表 `registered_devices` 跨设备访问目标 deck
```python
# 修复前(失效)
from unilabos.app.ros2_app import get_device_plr_resource_by_name # 模块不存在
return get_device_plr_resource_by_name(device_id, resource_name)
# 修复后
from unilabos.ros.nodes.base_device_node import registered_devices
device_info = registered_devices.get(device_id)
if device_info is not None:
driver = device_info.get("driver_instance") # TypedDict 是 dict必须用 .get()
if driver is not None:
deck = getattr(driver, "deck", None)
if deck is not None:
res = deck.get_resource(resource_name)
```
关键细节:`DeviceInfoType``TypedDict`(即普通 `dict`),必须用 `device_info.get("driver_instance")` 而非 `getattr(device_info, "driver_instance", None)`——后者对字典永远返回 `None`
---
## 根本原因分析
旧版以**本地文件模式**启动(有 `graph` 文件deck 在启动前已通过 `merge_remote_resources` 获得仓库子节点,反序列化时能正确恢复 warehouses。
新版以**远端模式**启动(`file_path=None`deck 反序列化时没有仓库子节点,`station.py` 扫描为空,所有物料的 warehouse 匹配失败Bioyond 同步的 16 个资源全部无法放置到对应仓库位,前端不显示。

View File

@@ -12,7 +12,7 @@ Uni-Lab 使用 Python 格式的配置文件(`.py`),默认为 `unilabos_dat
**获取方式:**
进入 [Uni-Lab 实验室](https://leap-lab.bohrium.com),点击左下角的头像,在实验室详情中获取所在实验室的 ak 和 sk
进入 [Uni-Lab 实验室](https://uni-lab.bohrium.com),点击左下角的头像,在实验室详情中获取所在实验室的 ak 和 sk
![copy_aksk.gif](image/copy_aksk.gif)
@@ -69,7 +69,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://leap-lab.bohrium.com/api/v1" # 远程服务器地址
remote_addr = "https://uni-lab.bohrium.com/api/v1" # 远程服务器地址
# ROS配置
class ROSConfig:
@@ -209,8 +209,8 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
`--addr` 参数支持以下预设值,会自动转换为对应的完整 URL
- `test``https://leap-lab.test.bohrium.com/api/v1`
- `uat``https://leap-lab.uat.bohrium.com/api/v1`
- `test``https://uni-lab.test.bohrium.com/api/v1`
- `uat``https://uni-lab.uat.bohrium.com/api/v1`
- `local``http://127.0.0.1:48197/api/v1`
- 其他值 → 直接使用作为完整 URL
@@ -248,7 +248,7 @@ unilab --ak "key" --sk "secret" --addr "test" --upload_registry --2d_vis -g grap
`ak``sk` 是必需的认证参数:
1. **获取方式**:在 [Uni-Lab 官网](https://leap-lab.bohrium.com) 注册实验室后获得
1. **获取方式**:在 [Uni-Lab 官网](https://uni-lab.bohrium.com) 注册实验室后获得
2. **配置方式**
- **命令行参数**`--ak "your_key" --sk "your_secret"`(最高优先级,推荐)
- **环境变量**`UNILABOS_BASICCONFIG_AK``UNILABOS_BASICCONFIG_SK`
@@ -275,15 +275,15 @@ WebSocket 是 Uni-Lab 的主要通信方式:
HTTP 客户端配置用于与云端服务通信:
| 参数 | 类型 | 默认值 | 说明 |
| ------------- | ---- | --------------------------------------- | ------------ |
| `remote_addr` | str | `"https://leap-lab.bohrium.com/api/v1"` | 远程服务地址 |
| 参数 | 类型 | 默认值 | 说明 |
| ------------- | ---- | -------------------------------------- | ------------ |
| `remote_addr` | str | `"https://uni-lab.bohrium.com/api/v1"` | 远程服务地址 |
**预设环境地址**
- 生产环境:`https://leap-lab.bohrium.com/api/v1`(默认)
- 测试环境:`https://leap-lab.test.bohrium.com/api/v1`
- UAT 环境:`https://leap-lab.uat.bohrium.com/api/v1`
- 生产环境:`https://uni-lab.bohrium.com/api/v1`(默认)
- 测试环境:`https://uni-lab.test.bohrium.com/api/v1`
- UAT 环境:`https://uni-lab.uat.bohrium.com/api/v1`
- 本地环境:`http://127.0.0.1:48197/api/v1`
### 4. ROSConfig - ROS 配置
@@ -401,7 +401,7 @@ export UNILABOS_WSCONFIG_RECONNECT_INTERVAL="10"
export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS="500"
# 设置HTTP配置
export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://leap-lab.test.bohrium.com/api/v1"
export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://uni-lab.test.bohrium.com/api/v1"
```
## 配置文件使用方法
@@ -484,13 +484,13 @@ export UNILABOS_WSCONFIG_MAX_RECONNECT_ATTEMPTS=100
```python
class HTTPConfig:
remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
```
**环境变量方式:**
```bash
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://leap-lab.test.bohrium.com/api/v1
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://uni-lab.test.bohrium.com/api/v1
```
**命令行方式(推荐):**

View File

@@ -23,7 +23,7 @@ Uni-Lab-OS 支持多种部署模式:
```
┌──────────────────────────────────────────────┐
│ Cloud Platform/Self-hosted Platform │
leap-lab.bohrium.com │
uni-lab.bohrium.com │
│ (Resource Management, Task Scheduling, │
│ Monitoring) │
└────────────────────┬─────────────────────────┘
@@ -444,7 +444,7 @@ ros2 daemon stop && ros2 daemon start
```bash
# 测试云端连接
curl https://leap-lab.bohrium.com/api/v1/health
curl https://uni-lab.bohrium.com/api/v1/health
# 测试WebSocket
# 启动Uni-Lab后查看日志

View File

@@ -33,11 +33,11 @@
**选择合适的安装包:**
| 安装包 | 适用场景 | 包含组件 |
| --------------- | ---------------------------- | --------------------------------------------- |
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
| 安装包 | 适用场景 | 包含组件 |
|--------|----------|----------|
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
**关键步骤:**
@@ -66,7 +66,6 @@ mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
```
**选择建议:**
- **日常使用/生产部署**:使用 `unilabos`(推荐),完整功能,开箱即用
- **开发者**:使用 `unilabos-env` + `pip install -e .` + `uv pip install -r unilabos/utils/requirements.txt`,代码修改立即生效
- **仿真/可视化**:使用 `unilabos-full`,含 Gazebo、rviz2、MoveIt
@@ -89,7 +88,7 @@ python -c "from unilabos_msgs.msg import Resource; print('ROS msgs OK')"
#### 2.1 注册实验室账号
1. 访问 [https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
1. 访问 [https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
2. 注册账号并登录
3. 创建新实验室
@@ -298,7 +297,7 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
#### 5.2 访问 Web 界面
启动系统后,访问[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
启动系统后,访问[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
#### 5.3 添加设备和物料
@@ -307,10 +306,12 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
**示例场景:** 创建一个简单的液体转移实验
1. **添加工作站(必需):**
- 在"仪器设备"中找到 `work_station`
- 添加 `workstation` x1
2. **添加虚拟转移泵:**
- 在"仪器设备"中找到 `virtual_device`
- 添加 `virtual_transfer_pump` x1
@@ -817,7 +818,6 @@ uv pip install -r unilabos/utils/requirements.txt
```
**为什么使用这种方式?**
- `unilabos-env` 提供 ROS2 核心组件和 uv通过 conda 安装,避免编译)
- `unilabos/utils/requirements.txt` 包含所有运行时需要的 pip 依赖
- `dev_install.py` 自动检测中文环境,中文系统自动使用清华镜像
@@ -1796,27 +1796,32 @@ unilab --ak your_ak --sk your_sk -g graph.json \
**详细步骤:**
1. **需求分析**
- 明确实验流程
- 列出所需设备和物料
- 设计工作流程图
2. **环境搭建**
- 安装 Uni-Lab-OS
- 创建实验室账号
- 准备开发工具IDE、Git
3. **原型验证**
- 使用虚拟设备测试流程
- 验证工作流逻辑
- 调整参数
4. **迭代开发**
- 实现自定义设备驱动(同时撰写单点函数测试)
- 编写注册表
- 单元测试
- 集成测试
5. **测试部署**
- 连接真实硬件
- 空跑测试
- 小规模试验
@@ -1866,7 +1871,7 @@ unilab --ak your_ak --sk your_sk -g graph.json \
#### 14.5 社区支持
- **GitHub Issues**[https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
- **官方网站**[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
- **官方网站**[https://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
---

View File

@@ -626,7 +626,7 @@ unilab
**云端图文件管理**:
1. 登录 https://leap-lab.bohrium.com
1. 登录 https://uni-lab.bohrium.com
2. 进入"设备配置"
3. 创建或编辑配置
4. 保存到云端

View File

@@ -54,6 +54,7 @@ Uni-Lab 的启动过程分为以下几个阶段:
您可以直接跟随 unilabos 的提示进行,无需查阅本节
- **工作目录设置**
- 如果当前目录以 `unilabos_data` 结尾,则使用当前目录
- 否则使用 `当前目录/unilabos_data` 作为工作目录
- 可通过 `--working_dir` 指定自定义工作目录
@@ -67,8 +68,8 @@ Uni-Lab 的启动过程分为以下几个阶段:
支持多种后端环境:
- `--addr test`:测试环境 (`https://leap-lab.test.bohrium.com/api/v1`)
- `--addr uat`UAT 环境 (`https://leap-lab.uat.bohrium.com/api/v1`)
- `--addr test`:测试环境 (`https://uni-lab.test.bohrium.com/api/v1`)
- `--addr uat`UAT 环境 (`https://uni-lab.uat.bohrium.com/api/v1`)
- `--addr local`:本地环境 (`http://127.0.0.1:48197/api/v1`)
- 自定义地址:直接指定完整 URL
@@ -175,7 +176,7 @@ unilab --config path/to/your/config.py
如果是首次使用,系统会:
1. 提示前往 https://leap-lab.bohrium.com 注册实验室
1. 提示前往 https://uni-lab.bohrium.com 注册实验室
2. 引导创建配置文件
3. 设置工作目录
@@ -215,7 +216,7 @@ unilab --ak your_ak --sk your_sk --port 8080 --disable_browser
如果提示 "后续运行必须拥有一个实验室",请确保:
- 已在 https://leap-lab.bohrium.com 注册实验室
- 已在 https://uni-lab.bohrium.com 注册实验室
- 正确设置了 `--ak``--sk` 参数
- 配置文件中包含正确的认证信息

172
tests/app/__init__.py Normal file
View File

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

View File

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

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

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

View File

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

View File

@@ -233,7 +233,7 @@ def parse_args():
parser.add_argument(
"--addr",
type=str,
default="https://leap-lab.bohrium.com/api/v1",
default="https://uni-lab.bohrium.com/api/v1",
help="Laboratory backend address",
)
parser.add_argument(
@@ -438,10 +438,10 @@ def main():
if args.addr != parser.get_default("addr"):
if args.addr == "test":
print_status("使用测试环境地址", "info")
HTTPConfig.remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
elif args.addr == "uat":
print_status("使用uat环境地址", "info")
HTTPConfig.remote_addr = "https://leap-lab.uat.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
elif args.addr == "local":
print_status("使用本地环境地址", "info")
HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
@@ -553,7 +553,7 @@ def main():
os._exit(0)
if not BasicConfig.ak or not BasicConfig.sk:
print_status("后续运行必须拥有一个实验室,请前往 https://leap-lab.bohrium.com 注册实验室!", "warning")
print_status("后续运行必须拥有一个实验室,请前往 https://uni-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
graph: nx.Graph
resource_tree_set: ResourceTreeSet
@@ -621,8 +621,6 @@ 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
# 仅在本地文件模式下有意义:本地文件只含设备结构,远端有已保存的物料,需要 merge
# 远端模式下 resource_tree_set 与 request_startup_json 来自同一份数据merge 为空操作
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"])

View File

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

View File

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

View File

@@ -36,9 +36,6 @@ class HTTPClient:
auth_secret = BasicConfig.auth_secret()
self.auth = auth_secret
info(f"正在使用ak sk作为授权信息[{auth_secret}]")
# 复用 TCP/TLS 连接,避免每次请求重新握手
self._session = requests.Session()
self._session.headers.update({"Authorization": f"Lab {self.auth}"})
info(f"HTTPClient 初始化完成: remote_addr={self.remote_addr}")
def resource_edge_add(self, resources: List[Dict[str, Any]]) -> requests.Response:
@@ -51,7 +48,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material/edge",
json={
"edges": resources,
@@ -78,28 +75,25 @@ class HTTPClient:
Returns:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
# dump() 只调用一次,复用给文件保存和 HTTP 请求
nodes_info = [x for xs in resources.dump() for x in xs]
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧UUID
old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
payload = {"nodes": nodes_info, "mount_uuid": mount_uuid}
body_bytes = _fast_dumps(payload)
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "wb") as f:
f.write(_fast_dumps_pretty(payload))
http_headers = {"Content-Type": "application/json"}
if not self.initialized or first_add:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material",
data=body_bytes,
headers=http_headers,
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
timeout=60,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/edge/material",
data=body_bytes,
headers=http_headers,
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
timeout=10,
)
@@ -117,7 +111,6 @@ class HTTPClient:
uuid_mapping[i["uuid"]] = i["cloud_uuid"]
else:
logger.error(f"添加物料失败: {response.text}")
logger.trace(f"添加物料失败: {nodes_info}")
for u, n in old_uuids.items():
if u in uuid_mapping:
n.res_content.uuid = uuid_mapping[u]
@@ -138,7 +131,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"uuids": uuid_list, "with_children": with_children}, indent=4))
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material/query",
json={"uuids": uuid_list, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -152,7 +145,6 @@ class HTTPClient:
logger.error(f"查询物料失败: {response.text}")
else:
data = res["data"]["nodes"]
logger.trace(f"resource_tree_get查询到物料: {data}")
return data
else:
logger.error(f"查询物料失败: {response.text}")
@@ -170,14 +162,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -204,7 +196,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"id": id, "with_children": with_children}, indent=4))
response = self._session.get(
response = requests.get(
f"{self.remote_addr}/lab/material",
params={"id": id, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -245,14 +237,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -282,7 +274,7 @@ class HTTPClient:
with open(file_path, "rb") as file:
files = {"files": file}
logger.info(f"上传文件: {file_path}{scene}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/api/account/file_upload/{scene}",
files=files,
headers={"Authorization": f"Lab {self.auth}"},
@@ -322,7 +314,7 @@ class HTTPClient:
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers=headers,
@@ -356,7 +348,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = self._session.get(
response = requests.get(
f"{self.remote_addr}/edge/material/download",
headers={"Authorization": f"Lab {self.auth}"},
timeout=(3, 30),
@@ -417,7 +409,7 @@ class HTTPClient:
with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(json.dumps(payload, indent=4, ensure_ascii=False))
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},
@@ -476,6 +468,63 @@ class HTTPClient:
logger.error(f"发布工作流失败: {response.status_code}, {response.text}")
return {"code": response.status_code, "message": response.text}
# ──────────────────── 模型资产管理 ────────────────────
def get_model_upload_urls(
self, template_uuid: str, files: list[dict],
) -> dict | None:
"""获取模型文件预签名上传 URL。
Args:
template_uuid: 设备模板 UUID
files: 文件列表 [{"name": "...", "version": "1.0.0"}]
Returns:
{"files": [{"name": "...", "upload_url": "...", "path": "..."}]}
"""
try:
response = requests.post(
f"{self.remote_addr}/lab/square/template/{template_uuid}/model/upload-urls",
json={"files": files},
headers={"Authorization": f"Lab {self.auth}"},
timeout=30,
)
if response.status_code == 200:
data = response.json().get("data")
return data
logger.error(f"获取模型上传 URL 失败: {response.status_code}, {response.text}")
except Exception as e:
logger.error(f"获取模型上传 URL 异常: {e}")
return None
def publish_model(
self, template_uuid: str, version: str, entry_file: str,
) -> dict | None:
"""确认模型上传完成,发布新版本。
Args:
template_uuid: 设备模板 UUID
version: 模型版本
entry_file: 入口文件名
Returns:
{"path": "...", "oss_dir": "...", "version": "..."}
"""
try:
response = requests.post(
f"{self.remote_addr}/lab/square/template/{template_uuid}/model/publish",
json={"version": version, "entry_file": entry_file},
headers={"Authorization": f"Lab {self.auth}"},
timeout=30,
)
if response.status_code == 200:
data = response.json().get("data")
return data
logger.error(f"发布模型失败: {response.status_code}, {response.text}")
except Exception as e:
logger.error(f"发布模型异常: {e}")
return None
# 创建默认客户端实例
http_client = HTTPClient()

View File

@@ -754,32 +754,6 @@ class MessageProcessor:
req = JobAddReq(**data)
job_log = format_job_log(req.job_id, req.task_id, req.device_id, req.action)
# 服务端对always_free动作可能跳过query_action_state直接发job_start
# 此时job尚未注册需要自动补注册
existing_job = self.device_manager.get_job_info(req.job_id)
if not existing_job:
action_name = req.action
device_action_key = f"/devices/{req.device_id}/{action_name}"
action_always_free = self._check_action_always_free(req.device_id, action_name)
if action_always_free:
job_info = JobInfo(
job_id=req.job_id,
task_id=req.task_id,
device_id=req.device_id,
action_name=action_name,
device_action_key=device_action_key,
status=JobStatus.QUEUE,
start_time=time.time(),
always_free=True,
)
self.device_manager.add_queue_request(job_info)
logger.info(f"[MessageProcessor] Job {job_log} always_free, auto-registered from direct job_start")
else:
logger.error(f"[MessageProcessor] Job {job_log} not registered (missing query_action_state)")
return
success = self.device_manager.start_job(req.job_id)
if not success:
logger.error(f"[MessageProcessor] Failed to start job {job_log}")
@@ -1113,7 +1087,7 @@ class MessageProcessor:
"task_id": task_id,
"job_id": job_id,
"free": free,
"need_more": need_more + 1,
"need_more": need_more,
},
}
@@ -1253,7 +1227,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10 + 1,
"need_more": 10,
},
}
self.message_processor.send_message(message)
@@ -1269,13 +1243,7 @@ class QueueProcessor:
if not queued_jobs:
return
queue_summary = {}
for j in queued_jobs:
key = f"{j.device_id}/{j.action_name}"
queue_summary[key] = queue_summary.get(key, 0) + 1
logger.debug(
f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs: {queue_summary}"
)
logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
for job_info in queued_jobs:
# 快照可能已过期:在遍历过程中 end_job() 可能已将此 job 移至 READY
@@ -1292,7 +1260,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10 + 1,
"need_more": 10,
},
}
success = self.message_processor.send_message(message)
@@ -1375,10 +1343,6 @@ class WebSocketClient(BaseCommunicationClient):
self.message_processor = MessageProcessor(self.websocket_url, self.send_queue, self.device_manager)
self.queue_processor = QueueProcessor(self.device_manager, self.message_processor)
# running状态debounce缓存: {job_id: (last_send_timestamp, last_feedback_data)}
self._job_running_last_sent: Dict[str, tuple] = {}
self._job_running_debounce_interval: float = 10.0 # 秒
# 设置相互引用
self.message_processor.set_queue_processor(self.queue_processor)
self.message_processor.set_websocket_client(self)
@@ -1470,6 +1434,21 @@ class WebSocketClient(BaseCommunicationClient):
self.message_processor.send_message(message)
# logger.trace(f"[WebSocketClient] Device status published: {device_id}.{property_name}")
def publish_joint_state(self, node_uuid: str, joint_states: dict, resource_poses: dict = None) -> None:
"""发布高频关节状态push_joint_state不写 DB"""
if self.is_disabled or not self.is_connected():
return
message = {
"action": "push_joint_state",
"data": {
"node_uuid": node_uuid,
"joint_states": joint_states or {},
"resource_poses": resource_poses or {},
},
}
self.message_processor.send_message(message)
def publish_job_status(
self, feedback_data: dict, item: QueueItem, status: str, return_info: Optional[dict] = None
) -> None:
@@ -1478,32 +1457,22 @@ class WebSocketClient(BaseCommunicationClient):
logger.debug(f"[WebSocketClient] Not connected, cannot publish job status for job_id: {item.job_id}")
return
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
# 拦截最终结果状态,与原版本逻辑一致
if status in ["success", "failed"]:
self._job_running_last_sent.pop(item.job_id, None)
host_node = HostNode.get_instance(0)
if host_node:
# 从HostNode的device_action_status中移除job_id
try:
host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id, None)
except (KeyError, AttributeError):
logger.warning(f"[WebSocketClient] Failed to remove job {item.job_id} from HostNode status")
# logger.debug(f"[WebSocketClient] Intercepting final status for job_id: {item.job_id} - {status}")
# 通知队列处理器job完成包括timeout的job
self.queue_processor.handle_job_completed(item.job_id, status)
# running状态按job_id做debounce内容变化时仍然上报
if status == "running":
now = time.time()
cached = self._job_running_last_sent.get(item.job_id)
if cached is not None:
last_ts, last_data = cached
if now - last_ts < self._job_running_debounce_interval and last_data == feedback_data:
logger.trace(f"[WebSocketClient] Job status debounced (skip): {job_log} - {status}")
return
self._job_running_last_sent[item.job_id] = (now, feedback_data)
# 发送job状态消息
message = {
"action": "job_status",
"data": {
@@ -1519,6 +1488,7 @@ class WebSocketClient(BaseCommunicationClient):
}
self.message_processor.send_message(message)
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
def send_ping(self, ping_id: str, timestamp: float) -> None:

View File

@@ -46,7 +46,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://leap-lab.bohrium.com/api/v1"
remote_addr = "https://uni-lab.bohrium.com/api/v1"
# ROS配置

View File

@@ -219,10 +219,10 @@ device = NewareBatteryTestSystem(
#### 步骤 2提交测试任务
使用 `submit_from_csv_export_ndax` 提交测试任务:
使用 `submit_from_csv` 提交测试任务:
```python
result = device.submit_from_csv_export_ndax(
result = device.submit_from_csv(
csv_path="test_data.csv",
output_dir="D:/neware_output"
)
@@ -489,7 +489,7 @@ A: 重新获取新的 Token 并更新环境变量 `UNI_LAB_AUTH_TOKEN`。
**Q: 可以自定义上传路径吗?**
A: 当前版本路径由统一 API 自动分配,`oss_prefix` 参数暂不使用(保留接口兼容性)。
**Q: 为什么不在 `submit_from_csv_export_ndax` 中自动上传?**
**Q: 为什么不在 `submit_from_csv` 中自动上传?**
A: 因为备份文件在测试进行中逐步生成,方法返回时可能文件尚未完全生成,因此提供独立的上传方法更灵活。
**Q: 上传后如何访问文件?**

View File

@@ -230,10 +230,10 @@ device = NewareBatteryTestSystem(
#### Step 2: Submit Test Tasks
Use `submit_from_csv_export_ndax` to submit test tasks:
Use `submit_from_csv` to submit test tasks:
```python
result = device.submit_from_csv_export_ndax(
result = device.submit_from_csv(
csv_path="test_data.csv",
output_dir="D:/neware_output"
)
@@ -500,7 +500,7 @@ A: Obtain a new API Key and update the `UNI_LAB_AUTH_TOKEN` environment variable
**Q: Can I customize upload paths?**
A: Current version has paths automatically assigned by unified API. `oss_prefix` parameter is currently unused (retained for interface compatibility).
**Q: Why not auto-upload in `submit_from_csv_export_ndax`?**
**Q: Why not auto-upload in `submit_from_csv`?**
A: Because backup files are generated progressively during testing, they may not be fully generated when the method returns. A separate upload method provides more flexibility.
**Q: How to access files after upload?**

View File

@@ -14,7 +14,7 @@
"config": {
"ip": "127.0.0.1",
"port": 502,
"machine_ids": [1, 2, 3, 4, 5, 6, 86],
"machine_id": 1,
"devtype": "27",
"timeout": 20,
"size_x": 500.0,
@@ -26,10 +26,10 @@
"data": {
"功能说明": "新威电池测试系统提供720通道监控和CSV批量提交功能",
"监控功能": "支持720个通道的实时状态监控、2盘电池物料管理、状态导出等",
"提交功能": "通过submit_from_csv action从CSV文件批量提交测试任务NDA备份或通过submit_from_csv_export_excel action提交并备份为Excel格式。CSV必须包含: Battery_Code, Pole_Weight, 集流体质量, 活性物质含量, 克容量mah/g, 电池体系, 设备号, 排号, 通道号"
"提交功能": "通过submit_from_csv action从CSV文件批量提交测试任务。CSV必须包含: Battery_Code, Pole_Weight, 集流体质量, 活性物质含量, 克容量mah/g, 电池体系, 设备号, 排号, 通道号"
},
"children": []
}
],
"links": []
}
}

View File

@@ -1,56 +0,0 @@
import socket
END_MARKS = [b"\r\n#\r\n", b"</bts>"] # 读到任一标志即可判定完整响应
def build_start_command(devid, subdevid, chlid, CoinID,
ip_in_xml="127.0.0.1",
devtype:int=27,
recipe_path:str=f"D:\\HHM_test\\A001.xml",
backup_dir:str=f"D:\\HHM_test\\backup",
filetype:int=1) -> str:
"""
filetype: 备份文件类型。0=NDA新威原生1=Excel。默认 1。
"""
lines = [
'<?xml version="1.0" encoding="UTF-8"?>',
'<bts version="1.0">',
' <cmd>start</cmd>',
' <list count="1">',
f' <start ip="{ip_in_xml}" devtype="{devtype}" devid="{devid}" subdevid="{subdevid}" chlid="{chlid}" barcode="{CoinID}">{recipe_path}</start>',
f' <backup backupdir="{backup_dir}" remotedir="" filenametype="1" customfilename="" createdirbydate="0" filetype="{int(filetype)}" backupontime="1" backupontimeinterval="1" backupfree="0" />',
' </list>',
'</bts>',
]
# TCP 模式:请求必须以 #\r\n 结束(协议要求)
return "\r\n".join(lines) + "\r\n#\r\n"
def recv_until_marks(sock: socket.socket, timeout=60):
sock.settimeout(timeout) # 上限给足,协议允许到 30s:contentReference[oaicite:2]{index=2}
buf = bytearray()
while True:
chunk = sock.recv(8192)
if not chunk:
break
buf += chunk
# 读到结束标志就停,避免等对端断开
for m in END_MARKS:
if m in buf:
return bytes(buf)
# 保险:读到完整 XML 结束标签也停
if b"</bts>" in buf:
return bytes(buf)
return bytes(buf)
def start_test(ip="127.0.0.1", port=502, devid=3, subdevid=2, chlid=1, CoinID="A001", recipe_path=f"D:\\HHM_test\\A001.xml", backup_dir=f"D:\\HHM_test\\backup", filetype:int=1):
"""
filetype: 备份文件类型0=NDA1=Excel。默认 1。
"""
xml_cmd = build_start_command(devid=devid, subdevid=subdevid, chlid=chlid, CoinID=CoinID, recipe_path=recipe_path, backup_dir=backup_dir, filetype=filetype)
#print(xml_cmd)
with socket.create_connection((ip, port), timeout=60) as s:
s.sendall(xml_cmd.encode("utf-8"))
data = recv_until_marks(s, timeout=60)
return data.decode("utf-8", errors="replace")
if __name__ == "__main__":
resp = start_test(ip="127.0.0.1", port=502, devid=4, subdevid=10, chlid=1, CoinID="A001", recipe_path=f"D:\\HHM_test\\A001.xml", backup_dir=f"D:\\HHM_test\\backup")
print(resp)

View File

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

View File

@@ -22,11 +22,10 @@ from threading import Lock, RLock
from typing_extensions import TypedDict
from unilabos.registry.decorators import (
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action, NodeType
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action
)
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample, ResourceTreeSet
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample
# ============ TypedDict 返回类型定义 ============
@@ -291,126 +290,6 @@ class VirtualWorkbench:
self._update_data_status(f"机械臂已释放 (完成: {task})")
self.logger.info(f"机械臂已释放 (完成: {task})")
@action(
always_free=True, node_type=NodeType.MANUAL_CONFIRM, placeholder_keys={
"assignee_user_ids": "unilabos_manual_confirm"
}, goal_default={
"timeout_seconds": 3600,
"assignee_user_ids": []
}, feedback_interval=300,
handles=[
ActionInputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
ActionInputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
ActionInputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
ActionInputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
# transfer使用
ActionOutputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource.@flatten", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource.@flatten", data_source=DataSource.EXECUTOR),
# test使用
ActionOutputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.EXECUTOR),
]
)
def manual_confirm(
self,
resource: List[ResourceSlot],
target_device: DeviceSlot,
mount_resource: List[ResourceSlot],
collector_mass: List[float],
active_material: List[float],
capacity: List[float],
battery_system: List[str],
timeout_seconds: int,
assignee_user_ids: list[str],
**kwargs
) -> dict:
"""
timeout_seconds: 超时时间默认3600秒
collector_mass: 极流体质量
active_material: 活性物质含量
capacity: 克容量mAh/g
battery_system: 电池体系
修改的结果无效,是只读的
"""
resource = ResourceTreeSet.from_plr_resources(resource).dump()
mount_resource = ResourceTreeSet.from_plr_resources(mount_resource).dump()
kwargs.update(locals())
kwargs.pop("kwargs")
kwargs.pop("self")
return kwargs
@action(
description="转移物料",
handles=[
ActionInputHandle(key="target_device", data_type="device_id",
label="目标设备", data_key="target_device", data_source=DataSource.HANDLE),
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
]
)
async def transfer(self, resource: List[ResourceSlot], target_device: DeviceSlot, mount_resource: List[ResourceSlot]):
future = ROS2DeviceNode.run_async_func(self._ros_node.transfer_resource_to_another, True,
**{
"plr_resources": resource,
"target_device_id": target_device,
"target_resources": mount_resource,
"sites": [None] * len(mount_resource),
})
result = await future
return result
@action(
description="扣电测试启动",
handles=[
ActionInputHandle(key="resource", data_type="resource",
label="待转移资源", data_key="resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="mount_resource", data_type="resource",
label="目标孔位", data_key="mount_resource", data_source=DataSource.HANDLE),
ActionInputHandle(key="collector_mass", data_type="collector_mass",
label="极流体质量", data_key="collector_mass", data_source=DataSource.HANDLE),
ActionInputHandle(key="active_material", data_type="active_material",
label="活性物质含量", data_key="active_material", data_source=DataSource.HANDLE),
ActionInputHandle(key="capacity", data_type="capacity",
label="克容量", data_key="capacity", data_source=DataSource.HANDLE),
ActionInputHandle(key="battery_system", data_type="battery_system",
label="电池体系", data_key="battery_system", data_source=DataSource.HANDLE),
]
)
async def test(
self, resource: List[ResourceSlot], mount_resource: List[ResourceSlot], collector_mass: List[float], active_material: List[float], capacity: List[float], battery_system: list[str]
):
print(resource)
print(mount_resource)
print(collector_mass)
print(active_material)
print(capacity)
print(battery_system)
@action(
auto_prefix=True,
description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",

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
@@ -760,9 +760,10 @@ class BioyondWorkstation(WorkstationBase):
except:
pass
# 创建通信模块;同步器将在 post_init 中初始化并执行首次同步
# 创建通信模块
self._create_communication_module(bioyond_config)
self.resource_synchronizer = None
self.resource_synchronizer = BioyondResourceSynchronizer(self)
self.resource_synchronizer.sync_from_external()
# TODO: self._ros_node里面拿属性
@@ -801,15 +802,6 @@ class BioyondWorkstation(WorkstationBase):
def post_init(self, ros_node: ROS2WorkstationNode):
self._ros_node = ros_node
# Deck 为空时(反序列化未恢复子节点),主动调用 setup() 初始化仓库
if self.deck and not self.deck.children and hasattr(self.deck, "setup") and callable(self.deck.setup):
logger.info("Deck 无仓库子节点,调用 setup() 初始化仓库")
self.deck.setup()
# 初始化同步器并执行首次同步(需在仓库初始化之后)
self.resource_synchronizer = BioyondResourceSynchronizer(self)
self.resource_synchronizer.sync_from_external()
# 启动连接监控
try:
self.connection_monitor = ConnectionMonitor(self)

View File

@@ -1,219 +0,0 @@
# 代码变更说明 — 2026-03-12
> 本次变更基于 `implementation_plan_v2.md` 执行,目标:**物理几何结构初始化与物料内容物填充彻底解耦**,消除 PLR 反序列化时的 `Resource already assigned to deck` 错误,并修复若干运行时新增问题。
---
## 一、物料系统标准化重构(主线任务)
### 1. `unilabos/resources/battery/magazine.py`
**改动**`MagazineHolder_6_Cathode``MagazineHolder_6_Anode``MagazineHolder_4_Cathode` 三个工厂函数的 `klasses` 参数改为 `None`
**原因**:原来三个工厂函数在初始化时就向洞位填满极片对象(`ElectrodeSheet`),导致 PLR 反序列化时"几何结构已创建子节点 + DB 再次 assign"双重冲突。
**原则**:物料余量改由寄存器直读(阶段 F资源树不再追踪每个极片实体。`MagazineHolder_6_Battery` 原本就是 `klasses=None`,三者现在保持一致。
---
### 2. `unilabos/resources/battery/magazine.py`(追加,响应重复 UUID 问题)
**改动**:为 `Magazine`(洞位类)新增 `serialize``deserialize` 重写:
- `serialize`:序列化时强制将 `children` 置空,不再把极片写回数据库。
- `deserialize`:反序列化时强制忽略 `children` 字段,阻止数据库中旧极片记录被恢复。
**原因**:数据库中遗留有旧的 `ElectrodeSheet` 记录(`A1_sheet100` 等),启动时被 PLR 反序列化进来,导致同一 UUID 出现在多个 Magazine 洞位中,触发 `发现重复的uuid` 错误。此修复从源头截断旧数据,经过一次完整的"启动 → 资源树写回"后,数据库旧极片记录也会被干净覆盖。
---
### 3. `unilabos/resources/battery/bottle_carriers.py`
**改动**:删除 `YIHUA_Electrolyte_12VialCarrier` 末尾的 12 瓶填充循环及对应 `import`
**原因**`bottle_rack_6x2``bottle_rack_6x2_2` 应初始化为空载架,瓶子由 Bioyond 侧实际转运后再填入。原来初始化时直接塞满 `YB_pei_ye_xiao_Bottle`,反序列化时产生重复 assign。
---
### 4. `unilabos/resources/bioyond/decks.py`
**改动**
-`BIOYOND_YB_Deck` 重命名为 `BioyondElectrolyteDeck`,保留 `BIOYOND_YB_Deck` 作为向后兼容别名。
- 工厂函数 `YB_Deck()` 重命名为 `bioyond_electrolyte_deck()`,保留 `YB_Deck` 作为别名。
- `BIOYOND_PolymerReactionStation_Deck``BIOYOND_PolymerPreparationStation_Deck``BioyondElectrolyteDeck` 三个 Deck 类:
- 移除 `__init__` 中的 `setup: bool = False` 参数及 `if setup: self.setup()` 调用。
- 删除临时 `deserialize` 补丁(该补丁是为了强制 `setup=False`,根本原因消除后不再需要)。
**原因**`setup` 参数导致 PLR 反序列化时先通过 `__init__` 创建所有子资源,再从 JSON `children` 字段再次 assign产生 `already assigned to deck` 错误。正确模式:`__init__` 只初始化自身几何,`setup()` 由工厂函数调用,反序列化由 PLR 从 DB 数据重建子资源。
---
### 5. `unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py`
**改动**
- `CoincellDeck` 重命名为 `YihuaCoinCellDeck`,保留 `CoincellDeck` 作为向后兼容别名。
- 工厂函数 `YH_Deck()` 重命名为 `yihua_coin_cell_deck()`,保留 `YH_Deck` 作为别名。
- 移除 `YihuaCoinCellDeck.__init__` 中的 `setup: bool = False` 参数及调用,删除 `deserialize` 补丁(原因同 decks.py
- `MaterialPlate.__init__` 移除 `fill` 参数和 `fill=True` 分支,新增类方法 `MaterialPlate.create_with_holes()` 作为"带洞位"的工厂方法,`setup()` 改为调用该工厂方法。
- `YihuaCoinCellDeck.setup()` 末尾新增 `electrolyte_buffer``ResourceStack`)接驳槽,用于接收来自 Bioyond 侧的分液瓶板,命名与 `bioyond_cell_workstation.py``sites=["electrolyte_buffer"]` 一致。
---
### 6. `unilabos/resources/resource_tracker.py`
**改动 1**`to_plr_resources` 中,`load_all_state` 调用前预填 `Container` 类资源缺失的键:
```python
state.setdefault("liquid_history", [])
state.setdefault("pending_liquids", {})
```
**原因**:新版 PLR 要求 `Container` 状态中必须包含这两个键,旧数据库记录缺失时 `load_all_state` 会抛出 `KeyError`
**改动 2**`_validate_tree` 中,遇到重复 UUID 时改为自动重新分配新 UUID 并打 `WARNING`,不再直接抛异常崩溃。
**原因**:旧数据库中存在多个同名同 UUID 的极片对象(历史脏数据),严格校验会导致节点无法启动。改为 WARNING + 自动修复,确保启动成功,下次资源树写回后脏数据自然清除。
---
### 7. `unilabos/resources/itemized_carrier.py`
**改动**:将原来的 `idx is None` 兜底补丁(静默调用 `super().assign_child_resource`,不更新槽位追踪)替换为两段式逻辑:
1. **XY 近似匹配**(容差 2mm精确三维坐标匹配失败时仅对比 XY 二维坐标,找到最近槽位后用槽位的正确坐标(含 Z完成 assign并打 `WARNING`
2. **XY 也失败才抛异常**:给出详细的槽位列表和传入坐标,便于问题排查。
**原因**:数据库中存储的资源坐标 Z=0`warehouse_factory` 定义的槽位 Z=dz如 10mm。精确匹配永远失败原补丁静默兜底掩盖了这一问题。近似匹配修复了 Z 偏移,同时保留了真正异常时的报错能力。
---
### 8. `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
**改动 1**:更新导入:`BIOYOND_YB_Deck``BioyondElectrolyteDeck, bioyond_electrolyte_deck`
**改动 2**`__main__` 入口处改为调用 `bioyond_electrolyte_deck(name="YB_Deck")`
**改动 3**:新增 `_get_resource_from_device(device_id, resource_name)` 方法,用于从目标设备的资源树中动态查找 PLR 资源对象(带降级回退逻辑)。
**改动 4**:跨站转运逻辑中,将原来"创建 `size=1,1,1` 的虚拟 `ResourcePLR` + 硬编码 UUID"的方式,改为通过 `_get_resource_from_device` 从目标设备获取真实的 `electrolyte_buffer` 资源对象。
**原因**:原代码使用硬编码 UUID 的虚拟资源作为转运目标,该对象在 YihuaCoinCellDeck 的资源树中不存在,转移后资源树状态混乱。
---
### 9. `unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`
**改动 1**:更新导入:`CoincellDeck``YihuaCoinCellDeck, yihua_coin_cell_deck``__main__` 入口改为调用 `yihua_coin_cell_deck()`
**改动 2**:新增 10 个 `@property`,实现对依华扣电工站 Modbus 寄存器的直读:
| 属性名 | 寄存器地址 | 说明 |
|---|---|---|
| `data_10mm_positive_plate_remaining` | 520 | 10mm正极片余量 |
| `data_12mm_positive_plate_remaining` | 522 | 12mm正极片余量 |
| `data_16mm_positive_plate_remaining` | 524 | 16mm正极片余量 |
| `data_aluminum_foil_remaining` | 526 | 铝箔余量 |
| `data_positive_shell_remaining` | 528 | 正极壳余量 |
| `data_flat_washer_remaining` | 530 | 平垫余量 |
| `data_negative_shell_remaining` | 532 | 负极壳余量 |
| `data_spring_washer_remaining` | 534 | 弹垫余量 |
| `data_finished_battery_remaining_capacity` | 536 | 成品电池余量 |
| `data_finished_battery_ng_remaining_capacity` | 538 | 成品电池NG槽余量 |
**原因**`coin_cell_workstation.yaml``status_types` 中定义了这 10 个属性,但代码中从未实现,导致每次前端轮询时均报 `AttributeError`
---
## 二、配置与注册表更新
### 10. `yibin_electrolyte_config.json`
- `BIOYOND_YB_Deck``BioyondElectrolyteDeck`class、type、_resource_type 三处)
- `CoincellDeck``YihuaCoinCellDeck`class、type、_resource_type 三处)
- 移除 `"setup": true` 字段
### 11. `yibin_coin_cell_only_config.json`
- `CoincellDeck``YihuaCoinCellDeck`
- 移除 `"setup": true`
### 12. `yibin_electrolyte_only_config.json`
- `BIOYOND_YB_Deck``BioyondElectrolyteDeck`
- 移除 `"setup": true`
### 13. `unilabos/registry/resources/bioyond/deck.yaml`
- `BIOYOND_YB_Deck``BioyondElectrolyteDeck`,工厂函数路径更新为 `bioyond_electrolyte_deck`
- `CoincellDeck``YihuaCoinCellDeck`,工厂函数路径更新为 `yihua_coin_cell_deck`
---
## 三、独立 Bug 修复
### 14. `unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly_b.csv`
**改动**10 条余量寄存器记录的 `DataType` 列从 `REAL` 改为 `FLOAT32`
**原因**`REAL` 是 IEC 61131-3 PLC 工程师惯用名称,但 pymodbus 的 `DATATYPE` 枚举只有 `FLOAT32``DataType['REAL']` 查表时抛 `KeyError: 'REAL'`,导致 `CoinCellAssemblyWorkstation` 节点启动失败。
---
## 四、运行期新增 Bug 修复第二轮2026-03-12 18:12 日志)
### 15. `unilabos/devices/workstation/bioyond_studio/station.py`
**改动**:第 261 行 `self.bioyond_config``self.workstation.bioyond_config`
**原因**`BioyondResourceSynchronizer.sync_to_external` 内部误用了 `self.bioyond_config`,而该类从未设置此属性(应通过 `self.workstation.bioyond_config` 访问)。触发场景:用户在前端将任意物料拖入仓库时,同步到 Bioyond 必定抛出 `AttributeError: 'BioyondResourceSynchronizer' object has no attribute 'bioyond_config'`
---
### 16. `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
**改动**`_get_type_id_by_name` 方法新增"直接英文 key 命中"分支:
- **原逻辑**:仅按 `value[0]`(中文名,如 `"5ml分液瓶板"`)遍历比较。
- **新逻辑**:先以 `type_name` 直接查找 `material_type_mappings` 字典 key英文 model 名,如 `"YB_Vial_5mL_Carrier"`),命中则立即返回 UUID否则再按中文名兜底遍历。
**原因**`resource_tree_transfer``plr_resource.model`(英文 key作为 `board_type` / `bottle_type` 传给 `create_sample`,后者再调用 `_get_type_id_by_name`。旧版函数只按中文名查,导致英文 key 永远匹配不到 → `ValueError: 未找到板类型 'YB_Vial_5mL_Carrier' 的配置`。新函数兼容两种查找方式,同时保持向后兼容。
---
## 五、运行期新增 Bug 修复第三轮2026-03-12 20:30 日志)
### 17. `unilabos/resources/resource_tracker.py`(追加)
**改动**:在 `to_plr_resources` 中,`sub_cls.deserialize` 调用前新增 `_deduplicate_plr_dict(plr_dict)` 预处理函数。
**函数逻辑**:递归遍历整个 `plr_dict` 树,在**全树范围**对 `children` 列表按 `name` 去重——保留首次出现的同名节点,跳过重复项并打 `WARNING`
**根本原因**
1. 用户通过前端将 `YB_Vial_5mL_Carrier` 拖入仓库 E01carrier 及其子 vial`YB_Vial_5mL_Carrier_vial_A1` 等)被写入数据库。
2. 随后 `sync_from_external`Bioyond 定期同步)以**新 UUID** 重新创建同名 carrier 并赋给同一槽位PLR 内存树中的旧 carrier 被替换,但**数据库旧记录未被清除**。
3. 下次重启时,数据库同一 `WareHouse` 下存在两条同名 `BottleCarrier`(不同 UUID`node_to_plr_dict` 将二者都放入 `children` 列表PLR 反序列化第二个 carrier 时子 vial 命名冲突,抛出 `ValueError: Resource with name 'YB_Vial_5mL_Carrier_vial_A1' already exists in the tree.`,整个 deck 无法加载,系统启动失败。
**连锁错误(随根因修复自动消除)**
- `TypeError: Deck.__init__() got an unexpected keyword argument 'data'` — deck 加载失败后 `driver_creator.py` 触发降级路径,参数类型错误
- `AttributeError: 'ResourceDictInstance' object has no attribute 'copy'` — 另一条降级路径失败
- `ValueError: Deck 配置不能为空` — 所有 deck 创建路径失败,`deck=None` 传入工作站
---
> **验证状态**2026-03-12 20:56 日志确认系统正常运行,无新增 ERROR 级错误。
---
## 六、变更文件汇总(最终)
| 文件 | 变更类型 | 轮次 |
|---|---|---|
| `resources/battery/magazine.py` | 重构 + Bug 修复(极片子节点解耦 + 旧数据清理) | 第一轮 |
| `resources/battery/bottle_carriers.py` | 重构(移除初始化时自动填瓶) | 第一轮 |
| `resources/bioyond/decks.py` | 重构 + 重命名BioyondElectrolyteDeck | 第一轮 |
| `devices/workstation/coin_cell_assembly/YB_YH_materials.py` | 重构 + 重命名YihuaCoinCellDeck+ 新增 electrolyte_buffer 槽位 | 第一轮 |
| `resources/resource_tracker.py` | Bug 修复 × 3Container 状态键预填 + 重复 UUID 自动修复 + 树级名称去重) | 第一/三轮 |
| `resources/itemized_carrier.py` | Bug 修复XY 近似坐标匹配,修复 Z 偏移) | 第一轮 |
| `devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py` | 重构 + Bug 修复(跨站转运 + 类型映射双模式查找) | 第一/二轮 |
| `devices/workstation/bioyond_studio/station.py` | Bug 修复sync_to_external 属性访问路径) | 第二轮 |
| `devices/workstation/coin_cell_assembly/coin_cell_assembly.py` | 新增 10 个 Modbus 余量属性 + 更新导入 | 第一轮 |
| `yibin_electrolyte_config.json` | 配置更新(类名 + 移除 setup | 第一轮 |
| `yibin_coin_cell_only_config.json` | 配置更新(类名 + 移除 setup | 第一轮 |
| `yibin_electrolyte_only_config.json` | 配置更新(类名 + 移除 setup | 第一轮 |
| `registry/resources/bioyond/deck.yaml` | 注册表更新(类名 + 工厂函数路径) | 第一轮 |
| `devices/workstation/coin_cell_assembly/coin_cell_assembly_b.csv` | Bug 修复REAL → FLOAT32 | 第一轮 |

View File

@@ -130,14 +130,20 @@ class MaterialPlate(ItemizedResource[MaterialHole]):
ordering: Optional[OrderedDict[str, str]] = None,
category: str = "material_plate",
model: Optional[str] = None,
fill: bool = False
):
"""初始化料板(不主动填充洞位,由工厂方法或反序列化恢复)
"""初始化料板
Args:
name: 料板名称
size_x: 长度 (mm)
size_y: 宽度 (mm)
size_z: 高度 (mm)
hole_diameter: 洞直径 (mm)
hole_depth: 洞深度 (mm)
hole_spacing_x: X方向洞位间距 (mm)
hole_spacing_y: Y方向洞位间距 (mm)
number: 编号
category: 类别
model: 型号
"""
@@ -147,50 +153,42 @@ class MaterialPlate(ItemizedResource[MaterialHole]):
hole_diameter=20.0,
info="",
)
super().__init__(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
ordered_items=ordered_items,
ordering=ordering,
category=category,
model=model,
)
@classmethod
def create_with_holes(
cls,
name: str,
size_x: float,
size_y: float,
size_z: float,
category: str = "material_plate",
model: Optional[str] = None,
) -> "MaterialPlate":
"""工厂方法:创建带 4x4 洞位的料板(仅用于初始 setup不在反序列化路径调用"""
# 默认洞位间距(与 _unilabos_state 默认值保持一致)
hole_spacing_x = 24.0
hole_spacing_y = 24.0
# 先建洞位,再作为 ordered_items 传入构造函数
# ItemizedResource.__init__ 要求 ordered_items 或 ordering 二选一必须有值)
# 创建4x4的洞位
# TODO: 这里要改,对应不同形状
holes = create_ordered_items_2d(
klass=MaterialHole,
num_items_x=4,
num_items_y=4,
dx=(size_x - 4 * hole_spacing_x) / 2,
dy=(size_y - 4 * hole_spacing_y) / 2,
dx=(size_x - 4 * self._unilabos_state["hole_spacing_x"]) / 2, # 居中
dy=(size_y - 4 * self._unilabos_state["hole_spacing_y"]) / 2, # 居中
dz=size_z,
item_dx=hole_spacing_x,
item_dy=hole_spacing_y,
size_x=16,
size_y=16,
size_z=16,
)
return cls(
name=name, size_x=size_x, size_y=size_y, size_z=size_z,
ordered_items=holes, category=category, model=model,
item_dx=self._unilabos_state["hole_spacing_x"],
item_dy=self._unilabos_state["hole_spacing_y"],
size_x = 16,
size_y = 16,
size_z = 16,
)
if fill:
super().__init__(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
ordered_items=holes,
category=category,
model=model,
)
else:
super().__init__(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
ordered_items=ordered_items,
ordering=ordering,
category=category,
model=model,
)
def update_locations(self):
# TODO:调多次相加
@@ -536,19 +534,30 @@ class WasteTipBox(Trash):
return data
class YihuaCoinCellDeck(Deck):
"""依华纽扣电池组装工作站台面类"""
class CoincellDeck(Deck):
"""纽扣电池组装工作站台面类"""
def __init__(
self,
name: str = "coin_cell_deck",
size_x: float = 1450.0,
size_y: float = 1450.0,
size_z: float = 100.0,
size_x: float = 1450.0, # 1m
size_y: float = 1450.0, # 1m
size_z: float = 100.0, # 0.9m
origin: Coordinate = Coordinate(-2200, 0, 0),
category: str = "coin_cell_deck",
setup: bool = False,
setup: bool = False, # 是否自动执行 setup
):
"""初始化纽扣电池组装工作站台面
Args:
name: 台面名称
size_x: 长度 (mm) - 1m
size_y: 宽度 (mm) - 1m
size_z: 高度 (mm) - 0.9m
origin: 原点坐标
category: 类别
setup: 是否自动执行 setup 配置标准布局
"""
super().__init__(
name=name,
size_x=1450.0,
@@ -582,11 +591,14 @@ class YihuaCoinCellDeck(Deck):
# ====================================== 物料板 ============================================
# 创建物料板料盘carrier- 4x4布局
# 负极料盘
fujiliaopan = MaterialPlate.create_with_holes(name="负极料盘", size_x=120, size_y=100, size_z=10.0)
fujiliaopan = MaterialPlate(name="负极料盘", size_x=120, size_y=100, size_z=10.0, fill=True)
self.assign_child_resource(fujiliaopan, Coordinate(x=708.0, y=794.0, z=0))
# for i in range(16):
# fujipian = ElectrodeSheet(name=f"{fujiliaopan.name}_jipian_{i}", size_x=12, size_y=12, size_z=0.1)
# fujiliaopan.children[i].assign_child_resource(fujipian, location=None)
# 隔膜料盘
gemoliaopan = MaterialPlate.create_with_holes(name="隔膜料盘", size_x=120, size_y=100, size_z=10.0)
gemoliaopan = MaterialPlate(name="隔膜料盘", size_x=120, size_y=100, size_z=10.0, fill=True)
self.assign_child_resource(gemoliaopan, Coordinate(x=718.0, y=918.0, z=0))
# for i in range(16):
# gemopian = ElectrodeSheet(name=f"{gemoliaopan.name}_jipian_{i}", size_x=12, size_y=12, size_z=0.1)
@@ -621,27 +633,11 @@ class YihuaCoinCellDeck(Deck):
waste_tip_box = WasteTipBox(name="waste_tip_box")
self.assign_child_resource(waste_tip_box, Coordinate(x=778.0, y=622.0, z=0))
# 分液瓶板接驳区 - 接收来自 BioyondElectrolyte 侧的完整 Vial Carrier 板
# 命名 electrolyte_buffer 与 bioyond_cell_workstation.py 中 sites=["electrolyte_buffer"] 对应
electrolyte_buffer = ResourceStack(
name="electrolyte_buffer",
direction="z",
resources=[],
)
self.assign_child_resource(electrolyte_buffer, Coordinate(x=1050.0, y=700.0, z=0))
def yihua_coin_cell_deck(name: str = "coin_cell_deck") -> YihuaCoinCellDeck:
deck = YihuaCoinCellDeck(name=name)
deck.setup()
return deck
# 向后兼容别名,日后废弃
CoincellDeck = YihuaCoinCellDeck
def YH_Deck(name: str = "") -> YihuaCoinCellDeck:
return yihua_coin_cell_deck(name=name or "coin_cell_deck")
def YH_Deck(name=""):
cd = CoincellDeck(name=name)
cd.setup()
return cd
if __name__ == "__main__":

View File

@@ -6,7 +6,7 @@ import threading
import time
import types
from datetime import datetime
from typing import Any, Dict, List, Optional
from typing import Any, Dict, Optional
from functools import wraps
from pylabrobot.resources import Deck, Resource as PLRResource
from unilabos_msgs.msg import Resource
@@ -17,7 +17,7 @@ from unilabos.device_comms.modbus_plc.modbus import DeviceType, Base as ModbusNo
from unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials import *
from unilabos.ros.nodes.base_device_node import ROS2DeviceNode, BaseROS2DeviceNode
from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
from unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials import YihuaCoinCellDeck, yihua_coin_cell_deck
from unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials import CoincellDeck
from unilabos.resources.graphio import convert_resources_to_type
from unilabos.utils.log import logger
import struct
@@ -161,9 +161,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
logger.info("没有传入依华deck检查启动json文件")
super().__init__(deck=deck, *args, **kwargs,)
self.debug_mode = debug_mode
self._modbus_address = address
self._modbus_port = port
""" 连接初始化 """
modbus_client = TCPClient(addr=address, port=port)
logger.debug(f"创建 Modbus 客户端: {modbus_client}")
@@ -180,11 +178,9 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
raise ValueError('modbus tcp connection failed')
self.nodes = BaseClient.load_csv(os.path.join(os.path.dirname(__file__), 'coin_cell_assembly_b.csv'))
self.client = modbus_client.register_node_list(self.nodes)
self._modbus_client_raw = modbus_client
else:
print("测试模式,跳过连接")
self.nodes, self.client = None, None
self._modbus_client_raw = None
""" 工站的配置 """
@@ -195,40 +191,9 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
self.csv_export_file = None
self.coin_num_N = 0 #已组装电池数量
def _ensure_modbus_connected(self) -> None:
"""检查 Modbus TCP 连接是否存活,若已断开则自动重连(防止长时间空闲后连接超时)"""
if self.debug_mode or self._modbus_client_raw is None:
return
raw_client = self._modbus_client_raw.client
if raw_client.is_socket_open():
return
logger.warning("[Modbus] 检测到连接已断开,尝试重连...")
try:
raw_client.close()
except Exception:
pass
count = 10
while count > 0:
count -= 1
try:
raw_client.connect()
except Exception:
pass
if raw_client.is_socket_open():
break
time.sleep(2)
if not raw_client.is_socket_open():
raise RuntimeError(f"Modbus TCP 重连失败({self._modbus_address}:{self._modbus_port}),请检查设备连接")
logger.info("[Modbus] 重连成功")
def post_init(self, ros_node: ROS2WorkstationNode):
self._ros_node = ros_node
# Deck 为空时(反序列化未恢复子节点),主动调用 setup() 初始化子物料
if self.deck and not self.deck.children and hasattr(self.deck, "setup") and callable(self.deck.setup):
logger.info("YihuaCoinCellDeck 无子节点,调用 setup() 初始化")
self.deck.setup()
#self.deck = create_a_coin_cell_deck()
ROS2DeviceNode.run_async_func(self._ros_node.update_resource, True, **{
"resources": [self.deck]
})
@@ -658,28 +623,12 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
return vol
@property
def data_coin_type(self) -> int:
"""电池类型 - 7种或8种组装物料 (INT16)"""
if self.debug_mode:
return 7
coin_type, read_err = self.client.use_node('REG_DATA_COIN_TYPE').read(1)
return coin_type
@property
def data_current_assembling_count(self) -> int:
"""当前进行组装的电池数量 - Current assembling battery count (INT16)"""
def data_coin_num(self) -> int:
"""当前电池数量 (INT16)"""
if self.debug_mode:
return 0
count, read_err = self.client.use_node('REG_DATA_CURRENT_ASSEMBLING_COUNT').read(1)
return count
@property
def data_current_completed_count(self) -> int:
"""当前完成组装的电池数量 - Current completed battery count (INT16)"""
if self.debug_mode:
return 0
count, read_err = self.client.use_node('REG_DATA_CURRENT_COMPLETED_COUNT').read(1)
return count
num, read_err = self.client.use_node('REG_DATA_COIN_NUM').read(1)
return num
@property
def data_coin_cell_code(self) -> str:
@@ -777,116 +726,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_10mm_positive_plate_remaining(self) -> float:
"""10mm正极片剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_10MM_POSITIVE_PLATE_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取10mm正极片余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_12mm_positive_plate_remaining(self) -> float:
"""12mm正极片剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_12MM_POSITIVE_PLATE_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取12mm正极片余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_16mm_positive_plate_remaining(self) -> float:
"""16mm正极片剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_16MM_POSITIVE_PLATE_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取16mm正极片余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_aluminum_foil_remaining(self) -> float:
"""铝箔剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_ALUMINUM_FOIL_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取铝箔余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_positive_shell_remaining(self) -> float:
"""正极壳剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_POSITIVE_SHELL_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取正极壳余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_flat_washer_remaining(self) -> float:
"""平垫剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_FLAT_WASHER_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取平垫余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_negative_shell_remaining(self) -> float:
"""负极壳剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_NEGATIVE_SHELL_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取负极壳余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_spring_washer_remaining(self) -> float:
"""弹垫剩余物料数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_SPRING_WASHER_REMAINING_COUNT').address, count=2)
if result.isError():
logger.error("读取弹垫余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_finished_battery_remaining_capacity(self) -> float:
"""成品电池剩余可容纳数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_FINISHED_BATTERY_REMAINING_CAPACITY').address, count=2)
if result.isError():
logger.error("读取成品电池余量失败")
return 0.0
return _decode_float32_correct(result.registers)
@property
def data_finished_battery_ng_remaining_capacity(self) -> float:
"""成品电池NG槽剩余可容纳数量 (FLOAT32)"""
if self.debug_mode:
return 0.0
result = self.client.client.read_holding_registers(address=self.client.use_node('REG_DATA_FINISHED_BATTERY_NG_REMAINING_CAPACITY').address, count=2)
if result.isError():
logger.error("读取成品电池NG槽余量失败")
return 0.0
return _decode_float32_correct(result.registers)
# @property
# def data_stack_vision_code(self) -> int:
# """物料堆叠复检图片编码 (INT16)"""
@@ -1086,7 +925,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
# 步骤0: 前置条件检查
logger.info("\n【步骤 0/4】前置条件检查...")
self._ensure_modbus_connected()
try:
# 检查 REG_UNILAB_INTERACT (应该为False表示使用Unilab交互)
unilab_interact_node = self.client.use_node('REG_UNILAB_INTERACT')
@@ -1147,42 +985,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
raise RuntimeError(error_msg)
logger.info(" ✓ COIL_GB_L_IGNORE_CMD 检查通过 (值为False使用左手套箱)")
# 检查握手寄存器残留正常初始状态均应为False
# 若上次运行意外断网这些Unilab侧COIL可能被遗留为True导致PLC逻辑卡死
handshake_checks = [
("COIL_UNILAB_SEND_MSG_SUCC_CMD", "Unilab→PLC 配方发送完毕", "上次配方握手未正常复位PLC可能处于等待配方的卡死状态"),
("COIL_UNILAB_REC_MSG_SUCC_CMD", "Unilab→PLC 数据接收完毕", "上次数据接收握手未正常复位"),
("UNILAB_SEND_ELECTROLYTE_BOTTLE_NUM", "Unilab→PLC 瓶数发送完毕", "上次瓶数握手未正常复位"),
("UNILAB_SEND_FINISHED_CMD", "Unilab→PLC 一组完成确认", "上次完成握手未正常复位"),
("COIL_REQUEST_REC_MSG_STATUS", "PLC→Unilab 请求接收配方", "PLC正处于等待配方状态设备流程已卡死需重启PLC或手动复位握手"),
("COIL_REQUEST_SEND_MSG_STATUS", "PLC→Unilab 请求发送测试数据", "PLC正处于等待发送数据状态设备流程已卡死"),
]
for coil_name, coil_desc, stuck_reason in handshake_checks:
try:
hs_node = self.client.use_node(coil_name)
hs_value, hs_err = hs_node.read(1)
if hs_err:
logger.warning(f" ⚠ 无法读取 {coil_name},跳过此项检查")
continue
hs_actual = hs_value[0] if isinstance(hs_value, (list, tuple)) else hs_value
logger.info(f" {coil_name} 当前值: {hs_actual}")
if hs_actual:
error_msg = (
"❌ 前置握手寄存器检查失败!\n"
f" {coil_name} = True (期望值: False)\n"
f" 含义: {coil_desc}\n"
f" 原因: {stuck_reason}\n"
" 建议: 检查上次运行是否意外中断手动将该寄存器置为False后重试"
)
logger.error(error_msg)
raise RuntimeError(error_msg)
logger.info(f"{coil_name} 检查通过 (值为False)")
except RuntimeError:
raise
except Exception as hs_e:
logger.warning(f" ⚠ 检查 {coil_name} 时发生异常: {hs_e},跳过此项")
logger.info("✓ 所有前置条件检查通过!")
except ValueError as e:
@@ -1356,8 +1158,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
lvbodian: bool = True,
battery_pressure_mode: bool = True,
battery_clean_ignore: bool = False,
file_path: str = "/Users/sml/work",
formulations: List[Dict] = None
file_path: str = "/Users/sml/work"
) -> Dict[str, Any]:
"""
发送瓶数+简化组装函数(适用于第二批次及后续批次)
@@ -1384,77 +1185,17 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
battery_pressure_mode: 是否启用压力模式
battery_clean_ignore: 是否忽略电池清洁
file_path: 实验记录保存路径
formulations: 配方信息列表(从 create_orders.mass_ratios 获取)
包含 orderCode, target_mass_ratio, real_mass_ratio 等
用于CSV数据追溯可选参数
Returns:
dict: 包含组装结果的字典
注意:
注意
- 第一次启动需先调用 func_pack_device_init_auto_start_combined()
- 后续批次直接调用此函数即可
"""
logger.info("=" * 60)
logger.info("开始发送瓶数+简化组装流程...")
logger.info(f"电解液瓶数: {elec_num}, 每瓶电池数: {elec_use_num}")
# 存储配方信息到设备状态(供 CSV 写入使用)
if formulations:
logger.info(f"接收到配方信息: {len(formulations)}")
# 将配方信息按 orderCode 索引,方便后续查找
self._formulations_map = {
f["orderCode"]: f for f in formulations
} if formulations else {}
# ✅ 新增:存储配方列表(按接收顺序),用于索引访问(兜底用)
self._formulations_list = formulations
# ✅ 新增按分液瓶条码vial_bottle_barcodes反向索引配方
# 配液站夹爪取放顺序与扣电站夹取顺序可能不同,所以不能再依赖位置序号,
# 必须用扣电站扫码得到的 data_electrolyte_code 去对齐配液站登记的瓶条码。
# vial_bottle_barcodes 字段可能形如 "LG100114"(单瓶)或 '["LG100114","LG100115"]'(多瓶)。
self._formulations_by_vial_barcode: Dict[str, Dict] = {}
for f in formulations:
raw_barcodes = f.get("vial_bottle_barcodes", "")
if not raw_barcodes:
continue
barcodes: List[str] = []
if isinstance(raw_barcodes, list):
barcodes = [str(b).strip() for b in raw_barcodes if b]
else:
s = str(raw_barcodes).strip()
if s.startswith("[") and s.endswith("]"):
try:
parsed = json.loads(s)
if isinstance(parsed, list):
barcodes = [str(b).strip() for b in parsed if b]
else:
barcodes = [str(parsed).strip()]
except Exception:
barcodes = [s]
else:
barcodes = [s]
for bc in barcodes:
if bc and bc not in self._formulations_by_vial_barcode:
self._formulations_by_vial_barcode[bc] = f
logger.info(
f"已建立分液瓶条码 → 配方索引: {len(self._formulations_by_vial_barcode)}"
f"(条码: {list(self._formulations_by_vial_barcode.keys())})"
)
else:
logger.warning("未接收到配方信息CSV将不包含配方字段")
self._formulations_map = {}
self._formulations_list = []
self._formulations_by_vial_barcode = {}
# ✅ 新增:存储每瓶电池数,用于计算当前使用的瓶号
# ⚠️ 确保转换为整数(前端可能传递字符串)
self._elec_use_num = int(elec_use_num) if elec_use_num else 0
logger.info(f"已存储参数: 每瓶电池数={self._elec_use_num}, 配方数={len(self._formulations_list)}")
# ✅ 新增:软件层电池计数器(防止硬件计数器不准确)
self._software_battery_counter = 0 # 从0开始每写入一次CSV递增
logger.info("软件层电池计数器已初始化")
logger.info("=" * 60)
# 步骤1: 发送电解液瓶数(触发物料搬运)
@@ -1590,8 +1331,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
data_assembly_time = self.data_assembly_time
data_assembly_pressure = self.data_assembly_pressure
data_electrolyte_volume = self.data_electrolyte_volume
data_coin_type = self.data_coin_type # 电池类型7或8种物料
data_battery_number = self.data_current_assembling_count # ✅ 真正的电池编号
data_coin_num = self.data_coin_num
# 处理电解液二维码 - 确保是字符串类型
try:
@@ -1621,32 +1361,28 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
logger.debug(f"data_assembly_time: {data_assembly_time}")
logger.debug(f"data_assembly_pressure: {data_assembly_pressure}")
logger.debug(f"data_electrolyte_volume: {data_electrolyte_volume}")
logger.debug(f"data_coin_type: {data_coin_type}") # 电池类型
logger.debug(f"data_battery_number: {data_battery_number}") # ✅ 电池编号
logger.debug(f"data_coin_num: {data_coin_num}")
logger.debug(f"data_electrolyte_code: {data_electrolyte_code}")
logger.debug(f"data_coin_cell_code: {data_coin_cell_code}")
#接收完信息后读取完毕标志位置True
finished_battery_magazine = self.deck.get_resource("成品弹夹")
# 计算电池应该放在哪个洞,以及洞内的堆叠位置
# 成品弹夹有6个洞每个洞可堆叠20颗电池
# 前5个洞索引0-4放正常电池第6个洞索引5放NG电池
BATTERIES_PER_HOLE = 20
MAX_NORMAL_BATTERIES = 100 # 5个洞 × 20颗/洞
hole_index = self.coin_num_N // BATTERIES_PER_HOLE # 第几个洞0-4为正常电池
in_hole_position = self.coin_num_N % BATTERIES_PER_HOLE # 洞内的堆叠序号
if hole_index >= 5:
logger.error(f"电池数量超出正常容量范围: {self.coin_num_N + 1} > {MAX_NORMAL_BATTERIES}")
raise ValueError(f"成品弹夹正常洞位已满(最多{MAX_NORMAL_BATTERIES}颗),当前尝试放置第{self.coin_num_N + 1}")
target_hole = finished_battery_magazine.children[hole_index] # 获取目标洞
liaopan3 = self.deck.get_resource("成品弹夹")
# 生成唯一的电池名称(使用时间戳确保唯一性)
timestamp_suffix = datetime.now().strftime("%Y%m%d_%H%M%S_%f")
battery_name = f"battery_{self.coin_num_N}_{timestamp_suffix}"
# 检查目标位置是否已有资源,如果有则先卸载
target_slot = liaopan3.children[self.coin_num_N]
if target_slot.children:
logger.warning(f"位置 {self.coin_num_N} 已有资源,将先卸载旧资源")
try:
# 卸载所有现有子资源
for child in list(target_slot.children):
target_slot.unassign_child_resource(child)
logger.info(f"已卸载旧资源: {child.name}")
except Exception as e:
logger.error(f"卸载旧资源时出错: {e}")
# 创建新的电池资源
battery = ElectrodeSheet(name=battery_name, size_x=14, size_y=14, size_z=2)
battery._unilabos_state = {
@@ -1657,12 +1393,13 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
"electrolyte_volume": data_electrolyte_volume
}
# 将电池堆叠到目标洞中
# 分配新资源到目标位置
try:
target_hole.assign_child_resource(battery, location=None)
logger.info(f"成功放置电池 {battery_name}弹夹洞{hole_index}的第{in_hole_position + 1}层 (总计第{self.coin_num_N + 1}颗)")
target_slot.assign_child_resource(battery, location=None)
logger.info(f"成功分配电池 {battery_name}位置 {self.coin_num_N}")
except Exception as e:
logger.error(f"放置电池资源失败: {e}")
logger.error(f"分配电池资源失败: {e}")
# 如果分配失败,尝试使用更简单的方法
raise
#print(jipian2.parent)
@@ -1683,7 +1420,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
time_date = datetime.now().strftime("%Y%m%d")
#秒级时间戳用于标记每一行电池数据
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
self._last_assembly_timestamp = timestamp
#生成输出文件的变量
self.csv_export_file = os.path.join(file_path, f"date_{time_date}.csv")
#将数据存入csv文件
@@ -1694,107 +1430,17 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
writer.writerow([
'Time', 'open_circuit_voltage', 'pole_weight',
'assembly_time', 'assembly_pressure', 'electrolyte_volume',
'data_coin_type', 'electrolyte_code', 'coin_cell_code',
'orderName', 'prep_bottle_barcode', 'vial_bottle_barcodes',
'target_mass_ratio', 'real_mass_ratio'
'coin_num', 'electrolyte_code', 'coin_cell_code'
])
#立刻写入磁盘
csvfile.flush()
#开始追加电池信息
with open(self.csv_export_file, 'a', newline='', encoding='utf-8') as csvfile:
writer = csv.writer(csvfile)
# ========== 提取配方信息 ==========
formulation_order_name = ""
prep_bottle_barcode = ""
vial_bottle_barcodes = ""
target_ratio_str = ""
real_ratio_str = ""
# 从 self._formulations_list 获取配方信息
if hasattr(self, '_formulations_list') and self._formulations_list:
# ============================================================
# ✅ 主方案:用扣电站扫码得到的电解液瓶条码 (data_electrolyte_code)
# 反查配液站登记的 vial_bottle_barcodes避免依赖夹爪取放顺序。
# 配液站和扣电站的瓶子顺序往往不一致(不同自动化设备的取放策略不同),
# 按位置序号匹配会错位;但每个瓶子的条码是唯一的,按条码匹配最可靠。
# ============================================================
formulation = None
match_method = ""
barcode_map = getattr(self, "_formulations_by_vial_barcode", {}) or {}
scan_code = (data_electrolyte_code or "").strip()
if scan_code and scan_code != "N/A" and barcode_map:
formulation = barcode_map.get(scan_code)
if formulation is not None:
match_method = f"按条码({scan_code})精确匹配"
else:
logger.warning(
f"[CSV写入] 电池 {data_battery_number}: 扫码条码 {scan_code} "
f"在配方索引中找不到 (已登记条码: {list(barcode_map.keys())})"
)
# ============================================================
# 🔁 降级方案:扫码失败 / 条码缺失时按瓶号位置兜底
# 保留原有"每瓶电池数"或"二维码尾号"的位置推断逻辑,
# 确保在异常路径下仍能落盘(位置推断的结果可能不准,仅供回溯)。
# ============================================================
if formulation is None:
if hasattr(self, '_elec_use_num') and self._elec_use_num:
elec_use_num_int = int(self._elec_use_num) if self._elec_use_num else 1
if elec_use_num_int > 0:
current_bottle_index = (data_battery_number - 1) // elec_use_num_int
else:
current_bottle_index = 0
logger.debug(
f"[CSV写入] 电池 {data_battery_number}: 降级按瓶号索引={current_bottle_index} "
f"(每瓶{self._elec_use_num}颗电池)"
)
else:
current_bottle_index = (
int(data_electrolyte_code.split('-')[-1])
if '-' in str(data_electrolyte_code)
else 0
)
logger.debug(
f"[CSV写入] 电池 {data_battery_number}: 降级按二维码尾号瓶号索引={current_bottle_index}"
)
if 0 <= current_bottle_index < len(self._formulations_list):
formulation = self._formulations_list[current_bottle_index]
match_method = f"按位置兜底匹配[{current_bottle_index}]"
else:
logger.warning(
f"[CSV写入] 电池 {data_battery_number}: 瓶号索引 {current_bottle_index} "
f"超出配方列表范围 (共{len(self._formulations_list)}个配方)"
)
if formulation is not None:
formulation_order_name = formulation.get("orderName", "")
prep_bottle_barcode = formulation.get("prep_bottle_barcode", "")
vial_bottle_barcodes = formulation.get("vial_bottle_barcodes", "")
real_ratio = formulation.get("real_mass_ratio", {})
target_ratio = formulation.get("target_mass_ratio", {})
target_ratio_str = json.dumps(target_ratio, ensure_ascii=False) if target_ratio else ""
real_ratio_str = json.dumps(real_ratio, ensure_ascii=False) if real_ratio else ""
logger.info(
f"[CSV写入] 电池 {data_battery_number} ({match_method}): "
f"orderName={formulation_order_name}, 配液瓶={prep_bottle_barcode}, "
f"分液瓶={vial_bottle_barcodes}"
)
else:
logger.debug(f"[CSV写入] 电池 {data_battery_number}: 未找到配方信息数据")
writer.writerow([
timestamp, data_open_circuit_voltage, data_pole_weight,
data_assembly_time, data_assembly_pressure, data_electrolyte_volume,
data_coin_type, data_electrolyte_code, data_coin_cell_code,
formulation_order_name, prep_bottle_barcode, vial_bottle_barcodes,
target_ratio_str, real_ratio_str
data_coin_num, data_electrolyte_code, data_coin_cell_code
])
#立刻写入磁盘
csvfile.flush()
@@ -1939,18 +1585,17 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
pole_weight = 0.0
battery_info = {
"Time": getattr(self, "_last_assembly_timestamp", datetime.now().strftime("%Y%m%d_%H%M%S")),
"battery_index": coin_num_N + 1,
"battery_barcode": battery_qr_code,
"electrolyte_barcode": electrolyte_qr_code,
"open_circuit_voltage": open_circuit_voltage,
"pole_weight": pole_weight,
"assembly_time": self.data_assembly_time,
"assembly_pressure": self.data_assembly_pressure,
"electrolyte_volume": self.data_electrolyte_volume,
"data_coin_type": getattr(self, "data_coin_type", 0),
"electrolyte_code": electrolyte_qr_code,
"coin_cell_code": battery_qr_code,
"electrolyte_volume": self.data_electrolyte_volume
}
battery_data_list.append(battery_info)
print(f"已收集第 {coin_num_N + 1} 个电池数据: 电池码={battery_info['coin_cell_code']}, 电解液码={battery_info['electrolyte_code']}")
print(f"已收集第 {coin_num_N + 1} 个电池数据: 电池码={battery_info['battery_barcode']}, 电解液码={battery_info['electrolyte_barcode']}")
time.sleep(1)
# TODO:读完再将电池数加一还是进入循环就将电池数加一需要考虑
@@ -1979,7 +1624,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
"success": True,
"total_batteries": len(battery_data_list),
"batteries": battery_data_list,
"assembly_data": battery_data_list,
"summary": {
"electrolyte_bottles_used": elec_num,
"batteries_per_bottle": elec_use_num,
@@ -2023,7 +1667,8 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
file_path: str = "/Users/sml/work"
) -> Dict[str, Any]:
"""
简化版电池组装函数,整合了原 qiming_coin_cell_code 的参数设置和双滴模式
此函数是 func_allpack_cmd 的增强版本,自动处理以下配置:
- 负极片和隔膜的盘数及矩阵点位
- 枪头盒矩阵点位
@@ -2194,18 +1839,17 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
pole_weight = 0.0
battery_info = {
"Time": getattr(self, "_last_assembly_timestamp", datetime.now().strftime("%Y%m%d_%H%M%S")),
"battery_index": coin_num_N + 1,
"battery_barcode": battery_qr_code,
"electrolyte_barcode": electrolyte_qr_code,
"open_circuit_voltage": open_circuit_voltage,
"pole_weight": pole_weight,
"assembly_time": self.data_assembly_time,
"assembly_pressure": self.data_assembly_pressure,
"electrolyte_volume": self.data_electrolyte_volume,
"data_coin_type": getattr(self, "data_coin_type", 0),
"electrolyte_code": electrolyte_qr_code,
"coin_cell_code": battery_qr_code,
"electrolyte_volume": self.data_electrolyte_volume
}
battery_data_list.append(battery_info)
print(f"已收集第 {coin_num_N + 1} 个电池数据: 电池码={battery_info['coin_cell_code']}, 电解液码={battery_info['electrolyte_code']}")
print(f"已收集第 {coin_num_N + 1} 个电池数据: 电池码={battery_info['battery_barcode']}, 电解液码={battery_info['electrolyte_barcode']}")
time.sleep(1)
@@ -2232,7 +1876,6 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
"success": True,
"total_batteries": len(battery_data_list),
"batteries": battery_data_list,
"assembly_data": battery_data_list,
"summary": {
"electrolyte_bottles_used": elec_num,
"batteries_per_bottle": elec_use_num,
@@ -2279,7 +1922,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
def fun_wuliao_test(self) -> bool:
#找到data_init中构建的2个物料盘
test_battery_plate = self.deck.get_resource("\u7535\u6c60\u6599\u76d8")
liaopan3 = self.deck.get_resource("\u7535\u6c60\u6599\u76d8")
for i in range(16):
battery = ElectrodeSheet(name=f"battery_{i}", size_x=16, size_y=16, size_z=2)
battery._unilabos_state = {
@@ -2289,7 +1932,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
"electrolyte_volume": 20.0,
"electrolyte_name": f"DP{i}"
}
test_battery_plate.children[i].assign_child_resource(battery, location=None)
liaopan3.children[i].assign_child_resource(battery, location=None)
ROS2DeviceNode.run_async_func(self._ros_node.update_resource, True, **{
"resources": [self.deck]
@@ -2332,7 +1975,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
data_assembly_time = self.data_assembly_time
data_assembly_pressure = self.data_assembly_pressure
data_electrolyte_volume = self.data_electrolyte_volume
data_coin_type = self.data_coin_type # 电池类型7或8种物料
data_coin_num = self.data_coin_num
data_electrolyte_code = self.data_electrolyte_code
data_coin_cell_code = self.data_coin_cell_code
# 电解液瓶位置
@@ -2446,7 +2089,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
writer.writerow([
timestamp, data_open_circuit_voltage, data_pole_weight,
data_assembly_time, data_assembly_pressure, data_electrolyte_volume,
data_coin_type, data_electrolyte_code, data_coin_cell_code # ✅ 已修正
data_coin_num, data_electrolyte_code, data_coin_cell_code
])
#立刻写入磁盘
csvfile.flush()
@@ -2497,7 +2140,7 @@ class CoinCellAssemblyWorkstation(WorkstationBase):
if __name__ == "__main__":
# 简单测试
workstation = CoinCellAssemblyWorkstation(deck=yihua_coin_cell_deck(name="coin_cell_deck"))
workstation = CoinCellAssemblyWorkstation(deck=CoincellDeck(setup=True, name="coin_cell_deck"))
# workstation.qiming_coin_cell_code(fujipian_panshu=1, fujipian_juzhendianwei=2, gemopanshu=3, gemo_juzhendianwei=4, lvbodian=False, battery_pressure_mode=False, battery_pressure=4200, battery_clean_ignore=False)
# print(f"工作站创建成功: {workstation.deck.name}")
# print(f"料盘数量: {len(workstation.deck.children)}")

View File

@@ -0,0 +1,133 @@
Name,DataType,InitValue,Comment,Attribute,DeviceType,Address,
COIL_SYS_START_CMD,BOOL,,,,coil,8010,
COIL_SYS_STOP_CMD,BOOL,,,,coil,8020,
COIL_SYS_RESET_CMD,BOOL,,,,coil,8030,
COIL_SYS_HAND_CMD,BOOL,,,,coil,8040,
COIL_SYS_AUTO_CMD,BOOL,,,,coil,8050,
COIL_SYS_INIT_CMD,BOOL,,,,coil,8060,
COIL_UNILAB_SEND_MSG_SUCC_CMD,BOOL,,,,coil,8700,
COIL_UNILAB_REC_MSG_SUCC_CMD,BOOL,,,,coil,8710,unilab_rec_msg_succ_cmd
COIL_SYS_START_STATUS,BOOL,,,,coil,8210,
COIL_SYS_STOP_STATUS,BOOL,,,,coil,8220,
COIL_SYS_RESET_STATUS,BOOL,,,,coil,8230,
COIL_SYS_HAND_STATUS,BOOL,,,,coil,8240,
COIL_SYS_AUTO_STATUS,BOOL,,,,coil,8250,
COIL_SYS_INIT_STATUS,BOOL,,,,coil,8260,
COIL_REQUEST_REC_MSG_STATUS,BOOL,,,,coil,8500,
COIL_REQUEST_SEND_MSG_STATUS,BOOL,,,,coil,8510,request_send_msg_status
REG_MSG_ELECTROLYTE_USE_NUM,INT16,,,,hold_register,11000,
REG_MSG_ELECTROLYTE_NUM,INT16,,,,hold_register,11002,unilab_send_msg_electrolyte_num
REG_MSG_ELECTROLYTE_VOLUME,INT16,,,,hold_register,11004,unilab_send_msg_electrolyte_vol
REG_MSG_ASSEMBLY_TYPE,INT16,,,,hold_register,11006,unilab_send_msg_assembly_type
REG_MSG_ASSEMBLY_PRESSURE,INT16,,,,hold_register,11008,unilab_send_msg_assembly_pressure
REG_DATA_ASSEMBLY_COIN_CELL_NUM,INT16,,,,hold_register,10000,data_assembly_coin_cell_num
REG_DATA_OPEN_CIRCUIT_VOLTAGE,FLOAT32,,,,hold_register,10002,data_open_circuit_voltage
REG_DATA_AXIS_X_POS,FLOAT32,,,,hold_register,10004,
REG_DATA_AXIS_Y_POS,FLOAT32,,,,hold_register,10006,
REG_DATA_AXIS_Z_POS,FLOAT32,,,,hold_register,10008,
REG_DATA_POLE_WEIGHT,FLOAT32,,,,hold_register,10010,data_pole_weight
REG_DATA_ASSEMBLY_PER_TIME,FLOAT32,,,,hold_register,10012,data_assembly_time
REG_DATA_ASSEMBLY_PRESSURE,INT16,,,,hold_register,10014,data_assembly_pressure
REG_DATA_ELECTROLYTE_VOLUME,INT16,,,,hold_register,10016,data_electrolyte_volume
REG_DATA_COIN_NUM,INT16,,,,hold_register,10018,data_coin_num
REG_DATA_ELECTROLYTE_CODE,STRING,,,,hold_register,10020,data_electrolyte_code()
REG_DATA_COIN_CELL_CODE,STRING,,,,hold_register,10030,data_coin_cell_code()
REG_DATA_STACK_VISON_CODE,STRING,,,,hold_register,12004,data_stack_vision_code()
REG_DATA_GLOVE_BOX_PRESSURE,FLOAT32,,,,hold_register,10050,data_glove_box_pressure
REG_DATA_GLOVE_BOX_WATER_CONTENT,FLOAT32,,,,hold_register,10052,data_glove_box_water_content
REG_DATA_GLOVE_BOX_O2_CONTENT,FLOAT32,,,,hold_register,10054,data_glove_box_o2_content
UNILAB_SEND_ELECTROLYTE_BOTTLE_NUM,BOOL,,,,coil,8720,
UNILAB_RECE_ELECTROLYTE_BOTTLE_NUM,BOOL,,,,coil,8520,
REG_MSG_ELECTROLYTE_NUM_USED,INT16,,,,hold_register,496,
REG_DATA_ELECTROLYTE_USE_NUM,INT16,,,,hold_register,10000,
UNILAB_SEND_FINISHED_CMD,BOOL,,,,coil,8730,
UNILAB_RECE_FINISHED_CMD,BOOL,,,,coil,8530,
REG_DATA_ASSEMBLY_TYPE,INT16,,,,hold_register,10018,ASSEMBLY_TYPE7or8
REG_UNILAB_INTERACT,BOOL,,,,coil,8450,
,,,,,coil,8320,
COIL_ALUMINUM_FOIL,BOOL,,,,coil,8340,
REG_MSG_NE_PLATE_MATRIX,INT16,,,,hold_register,440,
REG_MSG_SEPARATOR_PLATE_MATRIX,INT16,,,,hold_register,450,
REG_MSG_TIP_BOX_MATRIX,INT16,,,,hold_register,480,
REG_MSG_NE_PLATE_NUM,INT16,,,,hold_register,443,
REG_MSG_SEPARATOR_PLATE_NUM,INT16,,,,hold_register,453,
REG_MSG_PRESS_MODE,BOOL,,,,coil,8360,
,BOOL,,,,coil,8300,
,BOOL,,,,coil,8310,
COIL_GB_L_IGNORE_CMD,BOOL,,,,coil,8320,
COIL_GB_R_IGNORE_CMD,BOOL,,,,coil,8420,
,BOOL,,,,coil,8350,
COIL_ELECTROLYTE_DUAL_DROP_MODE,BOOL,,,,coil,8370,
,BOOL,,,,coil,8380,
,BOOL,,,,coil,8390,
,BOOL,,,,coil,8400,
,BOOL,,,,coil,8410,
REG_MSG_DUAL_DROP_FIRST_VOLUME,INT16,,,,hold_register,4001,
COIL_DUAL_DROP_SUCTION_TIMING,BOOL,,,,coil,8430,
COIL_DUAL_DROP_START_TIMING,BOOL,,,,coil,8470,
REG_MSG_BATTERY_CLEAN_IGNORE,BOOL,,,,coil,8460,
COIL_MATERIAL_SEARCH_DIALOG_APPEAR,BOOL,,,,coil,6470,
COIL_MATERIAL_SEARCH_CONFIRM_YES,BOOL,,,,coil,6480,
COIL_MATERIAL_SEARCH_CONFIRM_NO,BOOL,,,,coil,6490,
COIL_ALARM_100_SYSTEM_ERROR,BOOL,,,,coil,1000,异常100-系统异常
COIL_ALARM_101_EMERGENCY_STOP,BOOL,,,,coil,1010,异常101-急停
COIL_ALARM_111_GLOVEBOX_EMERGENCY_STOP,BOOL,,,,coil,1110,异常111-手套箱急停
COIL_ALARM_112_GLOVEBOX_GRATING_BLOCKED,BOOL,,,,coil,1120,异常112-手套箱内光栅遮挡
COIL_ALARM_160_PIPETTE_TIP_SHORTAGE,BOOL,,,,coil,1600,异常160-移液枪头缺料
COIL_ALARM_161_POSITIVE_SHELL_SHORTAGE,BOOL,,,,coil,1610,异常161-正极壳缺料
COIL_ALARM_162_ALUMINUM_FOIL_SHORTAGE,BOOL,,,,coil,1620,异常162-铝箔垫缺料
COIL_ALARM_163_POSITIVE_PLATE_SHORTAGE,BOOL,,,,coil,1630,异常163-正极片缺料
COIL_ALARM_164_SEPARATOR_SHORTAGE,BOOL,,,,coil,1640,异常164-隔膜缺料
COIL_ALARM_165_NEGATIVE_PLATE_SHORTAGE,BOOL,,,,coil,1650,异常165-负极片缺料
COIL_ALARM_166_FLAT_WASHER_SHORTAGE,BOOL,,,,coil,1660,异常166-平垫缺料
COIL_ALARM_167_SPRING_WASHER_SHORTAGE,BOOL,,,,coil,1670,异常167-弹垫缺料
COIL_ALARM_168_NEGATIVE_SHELL_SHORTAGE,BOOL,,,,coil,1680,异常168-负极壳缺料
COIL_ALARM_169_FINISHED_BATTERY_FULL,BOOL,,,,coil,1690,异常169-成品电池满料
COIL_ALARM_201_SERVO_AXIS_01_ERROR,BOOL,,,,coil,2010,异常201-伺服轴01异常
COIL_ALARM_202_SERVO_AXIS_02_ERROR,BOOL,,,,coil,2020,异常202-伺服轴02异常
COIL_ALARM_203_SERVO_AXIS_03_ERROR,BOOL,,,,coil,2030,异常203-伺服轴03异常
COIL_ALARM_204_SERVO_AXIS_04_ERROR,BOOL,,,,coil,2040,异常204-伺服轴04异常
COIL_ALARM_205_SERVO_AXIS_05_ERROR,BOOL,,,,coil,2050,异常205-伺服轴05异常
COIL_ALARM_206_SERVO_AXIS_06_ERROR,BOOL,,,,coil,2060,异常206-伺服轴06异常
COIL_ALARM_207_SERVO_AXIS_07_ERROR,BOOL,,,,coil,2070,异常207-伺服轴07异常
COIL_ALARM_208_SERVO_AXIS_08_ERROR,BOOL,,,,coil,2080,异常208-伺服轴08异常
COIL_ALARM_209_SERVO_AXIS_09_ERROR,BOOL,,,,coil,2090,异常209-伺服轴09异常
COIL_ALARM_210_SERVO_AXIS_10_ERROR,BOOL,,,,coil,2100,异常210-伺服轴10异常
COIL_ALARM_211_SERVO_AXIS_11_ERROR,BOOL,,,,coil,2110,异常211-伺服轴11异常
COIL_ALARM_212_SERVO_AXIS_12_ERROR,BOOL,,,,coil,2120,异常212-伺服轴12异常
COIL_ALARM_213_SERVO_AXIS_13_ERROR,BOOL,,,,coil,2130,异常213-伺服轴13异常
COIL_ALARM_214_SERVO_AXIS_14_ERROR,BOOL,,,,coil,2140,异常214-伺服轴14异常
COIL_ALARM_250_OTHER_COMPONENT_ERROR,BOOL,,,,coil,2500,异常250-其他元件异常
COIL_ALARM_251_PIPETTE_COMM_ERROR,BOOL,,,,coil,2510,异常251-移液枪通讯异常
COIL_ALARM_252_PIPETTE_ALARM,BOOL,,,,coil,2520,异常252-移液枪报警
COIL_ALARM_256_ELECTRIC_GRIPPER_ERROR,BOOL,,,,coil,2560,异常256-电爪异常
COIL_ALARM_262_RB_UNKNOWN_POSITION_ERROR,BOOL,,,,coil,2620,异常262-RB报警未知点位错误
COIL_ALARM_263_RB_XYZ_PARAM_LIMIT_ERROR,BOOL,,,,coil,2630,异常263-RB报警X、Y、Z参数超限制
COIL_ALARM_264_RB_VISION_PARAM_ERROR,BOOL,,,,coil,2640,异常264-RB报警视觉参数误差过大
COIL_ALARM_265_RB_NOZZLE_1_PICK_FAIL,BOOL,,,,coil,2650,异常265-RB报警1#吸嘴取料失败
COIL_ALARM_266_RB_NOZZLE_2_PICK_FAIL,BOOL,,,,coil,2660,异常266-RB报警2#吸嘴取料失败
COIL_ALARM_267_RB_NOZZLE_3_PICK_FAIL,BOOL,,,,coil,2670,异常267-RB报警3#吸嘴取料失败
COIL_ALARM_268_RB_NOZZLE_4_PICK_FAIL,BOOL,,,,coil,2680,异常268-RB报警4#吸嘴取料失败
COIL_ALARM_269_RB_TRAY_PICK_FAIL,BOOL,,,,coil,2690,异常269-RB报警取物料盘失败
COIL_ALARM_280_RB_COLLISION_ERROR,BOOL,,,,coil,2800,异常280-RB碰撞异常
COIL_ALARM_290_VISION_SYSTEM_COMM_ERROR,BOOL,,,,coil,2900,异常290-视觉系统通讯异常
COIL_ALARM_291_VISION_ALIGNMENT_NG,BOOL,,,,coil,2910,异常291-视觉对位NG异常
COIL_ALARM_292_BARCODE_SCANNER_COMM_ERROR,BOOL,,,,coil,2920,异常292-扫码枪通讯异常
COIL_ALARM_310_OCV_TRANSFER_NOZZLE_SUCTION_ERROR,BOOL,,,,coil,3100,异常310-开电移载吸嘴吸真空异常
COIL_ALARM_311_OCV_TRANSFER_NOZZLE_BREAK_ERROR,BOOL,,,,coil,3110,异常311-开电移载吸嘴破真空异常
COIL_ALARM_312_WEIGHT_TRANSFER_NOZZLE_SUCTION_ERROR,BOOL,,,,coil,3120,异常312-称重移载吸嘴吸真空异常
COIL_ALARM_313_WEIGHT_TRANSFER_NOZZLE_BREAK_ERROR,BOOL,,,,coil,3130,异常313-称重移载吸嘴破真空异常
COIL_ALARM_340_OCV_NOZZLE_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3400,异常340-开路电压吸嘴移载气缸异常
COIL_ALARM_342_OCV_NOZZLE_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3420,异常342-开路电压吸嘴升降气缸异常
COIL_ALARM_344_OCV_CRIMPING_CYLINDER_ERROR,BOOL,,,,coil,3440,异常344-开路电压旋压气缸异常
COIL_ALARM_350_WEIGHT_NOZZLE_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3500,异常350-称重吸嘴移载气缸异常
COIL_ALARM_352_WEIGHT_NOZZLE_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3520,异常352-称重吸嘴升降气缸异常
COIL_ALARM_354_CLEANING_CLOTH_TRANSFER_CYLINDER_ERROR,BOOL,,,,coil,3540,异常354-清洗无尘布移载气缸异常
COIL_ALARM_356_CLEANING_CLOTH_PRESS_CYLINDER_ERROR,BOOL,,,,coil,3560,异常356-清洗无尘布压紧气缸异常
COIL_ALARM_360_ELECTROLYTE_BOTTLE_POSITION_CYLINDER_ERROR,BOOL,,,,coil,3600,异常360-电解液瓶定位气缸异常
COIL_ALARM_362_PIPETTE_TIP_BOX_POSITION_CYLINDER_ERROR,BOOL,,,,coil,3620,异常362-移液枪头盒定位气缸异常
COIL_ALARM_364_REAGENT_BOTTLE_GRIPPER_LIFT_CYLINDER_ERROR,BOOL,,,,coil,3640,异常364-试剂瓶夹爪升降气缸异常
COIL_ALARM_366_REAGENT_BOTTLE_GRIPPER_CYLINDER_ERROR,BOOL,,,,coil,3660,异常366-试剂瓶夹爪气缸异常
COIL_ALARM_370_PRESS_MODULE_BLOW_CYLINDER_ERROR,BOOL,,,,coil,3700,异常370-压制模块吹气气缸异常
COIL_ALARM_151_ELECTROLYTE_BOTTLE_POSITION_ERROR,BOOL,,,,coil,1510,异常151-电解液瓶定位在籍异常
COIL_ALARM_152_ELECTROLYTE_BOTTLE_CAP_ERROR,BOOL,,,,coil,1520,异常152-电解液瓶盖在籍异常
1 Name DataType InitValue Comment Attribute DeviceType Address
2 COIL_SYS_START_CMD BOOL coil 8010
3 COIL_SYS_STOP_CMD BOOL coil 8020
4 COIL_SYS_RESET_CMD BOOL coil 8030
5 COIL_SYS_HAND_CMD BOOL coil 8040
6 COIL_SYS_AUTO_CMD BOOL coil 8050
7 COIL_SYS_INIT_CMD BOOL coil 8060
8 COIL_UNILAB_SEND_MSG_SUCC_CMD BOOL coil 8700
9 COIL_UNILAB_REC_MSG_SUCC_CMD BOOL coil 8710 unilab_rec_msg_succ_cmd
10 COIL_SYS_START_STATUS BOOL coil 8210
11 COIL_SYS_STOP_STATUS BOOL coil 8220
12 COIL_SYS_RESET_STATUS BOOL coil 8230
13 COIL_SYS_HAND_STATUS BOOL coil 8240
14 COIL_SYS_AUTO_STATUS BOOL coil 8250
15 COIL_SYS_INIT_STATUS BOOL coil 8260
16 COIL_REQUEST_REC_MSG_STATUS BOOL coil 8500
17 COIL_REQUEST_SEND_MSG_STATUS BOOL coil 8510 request_send_msg_status
18 REG_MSG_ELECTROLYTE_USE_NUM INT16 hold_register 11000
19 REG_MSG_ELECTROLYTE_NUM INT16 hold_register 11002 unilab_send_msg_electrolyte_num
20 REG_MSG_ELECTROLYTE_VOLUME INT16 hold_register 11004 unilab_send_msg_electrolyte_vol
21 REG_MSG_ASSEMBLY_TYPE INT16 hold_register 11006 unilab_send_msg_assembly_type
22 REG_MSG_ASSEMBLY_PRESSURE INT16 hold_register 11008 unilab_send_msg_assembly_pressure
23 REG_DATA_ASSEMBLY_COIN_CELL_NUM INT16 hold_register 10000 data_assembly_coin_cell_num
24 REG_DATA_OPEN_CIRCUIT_VOLTAGE FLOAT32 hold_register 10002 data_open_circuit_voltage
25 REG_DATA_AXIS_X_POS FLOAT32 hold_register 10004
26 REG_DATA_AXIS_Y_POS FLOAT32 hold_register 10006
27 REG_DATA_AXIS_Z_POS FLOAT32 hold_register 10008
28 REG_DATA_POLE_WEIGHT FLOAT32 hold_register 10010 data_pole_weight
29 REG_DATA_ASSEMBLY_PER_TIME FLOAT32 hold_register 10012 data_assembly_time
30 REG_DATA_ASSEMBLY_PRESSURE INT16 hold_register 10014 data_assembly_pressure
31 REG_DATA_ELECTROLYTE_VOLUME INT16 hold_register 10016 data_electrolyte_volume
32 REG_DATA_COIN_NUM INT16 hold_register 10018 data_coin_num
33 REG_DATA_ELECTROLYTE_CODE STRING hold_register 10020 data_electrolyte_code()
34 REG_DATA_COIN_CELL_CODE STRING hold_register 10030 data_coin_cell_code()
35 REG_DATA_STACK_VISON_CODE STRING hold_register 12004 data_stack_vision_code()
36 REG_DATA_GLOVE_BOX_PRESSURE FLOAT32 hold_register 10050 data_glove_box_pressure
37 REG_DATA_GLOVE_BOX_WATER_CONTENT FLOAT32 hold_register 10052 data_glove_box_water_content
38 REG_DATA_GLOVE_BOX_O2_CONTENT FLOAT32 hold_register 10054 data_glove_box_o2_content
39 UNILAB_SEND_ELECTROLYTE_BOTTLE_NUM BOOL coil 8720
40 UNILAB_RECE_ELECTROLYTE_BOTTLE_NUM BOOL coil 8520
41 REG_MSG_ELECTROLYTE_NUM_USED INT16 hold_register 496
42 REG_DATA_ELECTROLYTE_USE_NUM INT16 hold_register 10000
43 UNILAB_SEND_FINISHED_CMD BOOL coil 8730
44 UNILAB_RECE_FINISHED_CMD BOOL coil 8530
45 REG_DATA_ASSEMBLY_TYPE INT16 hold_register 10018 ASSEMBLY_TYPE7or8
46 REG_UNILAB_INTERACT BOOL coil 8450
47 coil 8320
48 COIL_ALUMINUM_FOIL BOOL coil 8340
49 REG_MSG_NE_PLATE_MATRIX INT16 hold_register 440
50 REG_MSG_SEPARATOR_PLATE_MATRIX INT16 hold_register 450
51 REG_MSG_TIP_BOX_MATRIX INT16 hold_register 480
52 REG_MSG_NE_PLATE_NUM INT16 hold_register 443
53 REG_MSG_SEPARATOR_PLATE_NUM INT16 hold_register 453
54 REG_MSG_PRESS_MODE BOOL coil 8360
55 BOOL coil 8300
56 BOOL coil 8310
57 COIL_GB_L_IGNORE_CMD BOOL coil 8320
58 COIL_GB_R_IGNORE_CMD BOOL coil 8420
59 BOOL coil 8350
60 COIL_ELECTROLYTE_DUAL_DROP_MODE BOOL coil 8370
61 BOOL coil 8380
62 BOOL coil 8390
63 BOOL coil 8400
64 BOOL coil 8410
65 REG_MSG_DUAL_DROP_FIRST_VOLUME INT16 hold_register 4001
66 COIL_DUAL_DROP_SUCTION_TIMING BOOL coil 8430
67 COIL_DUAL_DROP_START_TIMING BOOL coil 8470
68 REG_MSG_BATTERY_CLEAN_IGNORE BOOL coil 8460
69 COIL_MATERIAL_SEARCH_DIALOG_APPEAR BOOL coil 6470
70 COIL_MATERIAL_SEARCH_CONFIRM_YES BOOL coil 6480
71 COIL_MATERIAL_SEARCH_CONFIRM_NO BOOL coil 6490
72 COIL_ALARM_100_SYSTEM_ERROR BOOL coil 1000 异常100-系统异常
73 COIL_ALARM_101_EMERGENCY_STOP BOOL coil 1010 异常101-急停
74 COIL_ALARM_111_GLOVEBOX_EMERGENCY_STOP BOOL coil 1110 异常111-手套箱急停
75 COIL_ALARM_112_GLOVEBOX_GRATING_BLOCKED BOOL coil 1120 异常112-手套箱内光栅遮挡
76 COIL_ALARM_160_PIPETTE_TIP_SHORTAGE BOOL coil 1600 异常160-移液枪头缺料
77 COIL_ALARM_161_POSITIVE_SHELL_SHORTAGE BOOL coil 1610 异常161-正极壳缺料
78 COIL_ALARM_162_ALUMINUM_FOIL_SHORTAGE BOOL coil 1620 异常162-铝箔垫缺料
79 COIL_ALARM_163_POSITIVE_PLATE_SHORTAGE BOOL coil 1630 异常163-正极片缺料
80 COIL_ALARM_164_SEPARATOR_SHORTAGE BOOL coil 1640 异常164-隔膜缺料
81 COIL_ALARM_165_NEGATIVE_PLATE_SHORTAGE BOOL coil 1650 异常165-负极片缺料
82 COIL_ALARM_166_FLAT_WASHER_SHORTAGE BOOL coil 1660 异常166-平垫缺料
83 COIL_ALARM_167_SPRING_WASHER_SHORTAGE BOOL coil 1670 异常167-弹垫缺料
84 COIL_ALARM_168_NEGATIVE_SHELL_SHORTAGE BOOL coil 1680 异常168-负极壳缺料
85 COIL_ALARM_169_FINISHED_BATTERY_FULL BOOL coil 1690 异常169-成品电池满料
86 COIL_ALARM_201_SERVO_AXIS_01_ERROR BOOL coil 2010 异常201-伺服轴01异常
87 COIL_ALARM_202_SERVO_AXIS_02_ERROR BOOL coil 2020 异常202-伺服轴02异常
88 COIL_ALARM_203_SERVO_AXIS_03_ERROR BOOL coil 2030 异常203-伺服轴03异常
89 COIL_ALARM_204_SERVO_AXIS_04_ERROR BOOL coil 2040 异常204-伺服轴04异常
90 COIL_ALARM_205_SERVO_AXIS_05_ERROR BOOL coil 2050 异常205-伺服轴05异常
91 COIL_ALARM_206_SERVO_AXIS_06_ERROR BOOL coil 2060 异常206-伺服轴06异常
92 COIL_ALARM_207_SERVO_AXIS_07_ERROR BOOL coil 2070 异常207-伺服轴07异常
93 COIL_ALARM_208_SERVO_AXIS_08_ERROR BOOL coil 2080 异常208-伺服轴08异常
94 COIL_ALARM_209_SERVO_AXIS_09_ERROR BOOL coil 2090 异常209-伺服轴09异常
95 COIL_ALARM_210_SERVO_AXIS_10_ERROR BOOL coil 2100 异常210-伺服轴10异常
96 COIL_ALARM_211_SERVO_AXIS_11_ERROR BOOL coil 2110 异常211-伺服轴11异常
97 COIL_ALARM_212_SERVO_AXIS_12_ERROR BOOL coil 2120 异常212-伺服轴12异常
98 COIL_ALARM_213_SERVO_AXIS_13_ERROR BOOL coil 2130 异常213-伺服轴13异常
99 COIL_ALARM_214_SERVO_AXIS_14_ERROR BOOL coil 2140 异常214-伺服轴14异常
100 COIL_ALARM_250_OTHER_COMPONENT_ERROR BOOL coil 2500 异常250-其他元件异常
101 COIL_ALARM_251_PIPETTE_COMM_ERROR BOOL coil 2510 异常251-移液枪通讯异常
102 COIL_ALARM_252_PIPETTE_ALARM BOOL coil 2520 异常252-移液枪报警
103 COIL_ALARM_256_ELECTRIC_GRIPPER_ERROR BOOL coil 2560 异常256-电爪异常
104 COIL_ALARM_262_RB_UNKNOWN_POSITION_ERROR BOOL coil 2620 异常262-RB报警:未知点位错误
105 COIL_ALARM_263_RB_XYZ_PARAM_LIMIT_ERROR BOOL coil 2630 异常263-RB报警:X、Y、Z参数超限制
106 COIL_ALARM_264_RB_VISION_PARAM_ERROR BOOL coil 2640 异常264-RB报警:视觉参数误差过大
107 COIL_ALARM_265_RB_NOZZLE_1_PICK_FAIL BOOL coil 2650 异常265-RB报警:1#吸嘴取料失败
108 COIL_ALARM_266_RB_NOZZLE_2_PICK_FAIL BOOL coil 2660 异常266-RB报警:2#吸嘴取料失败
109 COIL_ALARM_267_RB_NOZZLE_3_PICK_FAIL BOOL coil 2670 异常267-RB报警:3#吸嘴取料失败
110 COIL_ALARM_268_RB_NOZZLE_4_PICK_FAIL BOOL coil 2680 异常268-RB报警:4#吸嘴取料失败
111 COIL_ALARM_269_RB_TRAY_PICK_FAIL BOOL coil 2690 异常269-RB报警:取物料盘失败
112 COIL_ALARM_280_RB_COLLISION_ERROR BOOL coil 2800 异常280-RB碰撞异常
113 COIL_ALARM_290_VISION_SYSTEM_COMM_ERROR BOOL coil 2900 异常290-视觉系统通讯异常
114 COIL_ALARM_291_VISION_ALIGNMENT_NG BOOL coil 2910 异常291-视觉对位NG异常
115 COIL_ALARM_292_BARCODE_SCANNER_COMM_ERROR BOOL coil 2920 异常292-扫码枪通讯异常
116 COIL_ALARM_310_OCV_TRANSFER_NOZZLE_SUCTION_ERROR BOOL coil 3100 异常310-开电移载吸嘴吸真空异常
117 COIL_ALARM_311_OCV_TRANSFER_NOZZLE_BREAK_ERROR BOOL coil 3110 异常311-开电移载吸嘴破真空异常
118 COIL_ALARM_312_WEIGHT_TRANSFER_NOZZLE_SUCTION_ERROR BOOL coil 3120 异常312-称重移载吸嘴吸真空异常
119 COIL_ALARM_313_WEIGHT_TRANSFER_NOZZLE_BREAK_ERROR BOOL coil 3130 异常313-称重移载吸嘴破真空异常
120 COIL_ALARM_340_OCV_NOZZLE_TRANSFER_CYLINDER_ERROR BOOL coil 3400 异常340-开路电压吸嘴移载气缸异常
121 COIL_ALARM_342_OCV_NOZZLE_LIFT_CYLINDER_ERROR BOOL coil 3420 异常342-开路电压吸嘴升降气缸异常
122 COIL_ALARM_344_OCV_CRIMPING_CYLINDER_ERROR BOOL coil 3440 异常344-开路电压旋压气缸异常
123 COIL_ALARM_350_WEIGHT_NOZZLE_TRANSFER_CYLINDER_ERROR BOOL coil 3500 异常350-称重吸嘴移载气缸异常
124 COIL_ALARM_352_WEIGHT_NOZZLE_LIFT_CYLINDER_ERROR BOOL coil 3520 异常352-称重吸嘴升降气缸异常
125 COIL_ALARM_354_CLEANING_CLOTH_TRANSFER_CYLINDER_ERROR BOOL coil 3540 异常354-清洗无尘布移载气缸异常
126 COIL_ALARM_356_CLEANING_CLOTH_PRESS_CYLINDER_ERROR BOOL coil 3560 异常356-清洗无尘布压紧气缸异常
127 COIL_ALARM_360_ELECTROLYTE_BOTTLE_POSITION_CYLINDER_ERROR BOOL coil 3600 异常360-电解液瓶定位气缸异常
128 COIL_ALARM_362_PIPETTE_TIP_BOX_POSITION_CYLINDER_ERROR BOOL coil 3620 异常362-移液枪头盒定位气缸异常
129 COIL_ALARM_364_REAGENT_BOTTLE_GRIPPER_LIFT_CYLINDER_ERROR BOOL coil 3640 异常364-试剂瓶夹爪升降气缸异常
130 COIL_ALARM_366_REAGENT_BOTTLE_GRIPPER_CYLINDER_ERROR BOOL coil 3660 异常366-试剂瓶夹爪气缸异常
131 COIL_ALARM_370_PRESS_MODULE_BLOW_CYLINDER_ERROR BOOL coil 3700 异常370-压制模块吹气气缸异常
132 COIL_ALARM_151_ELECTROLYTE_BOTTLE_POSITION_ERROR BOOL coil 1510 异常151-电解液瓶定位在籍异常
133 COIL_ALARM_152_ELECTROLYTE_BOTTLE_CAP_ERROR BOOL coil 1520 异常152-电解液瓶盖在籍异常

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@@ -1,88 +0,0 @@
# 物料系统标准化重构方案
根据开发者的反馈本方案旨在遵循“标准化而非绕过”的原则对资源类Deck、Carrier、Magazine进行重构。核心目标是将物理结构的初始化与物料/极片的初始填充逻辑解耦,彻底解决反序列化过程中的初始化冲突。
## 拟议变更
### [参考] PRCXI9300 标准化模式
#### [参考文件] [prcxi.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/liquid_handling/prcxi/prcxi.py)
* **PRCXI9300Deck**: 演示了如何在 `serialize` 中导出 `sites` 元数据,以及如何在 `assign_child_resource` 中实现稳健的槽位匹配(支持按名称、坐标或索引匹配)。
* **PRCXI9300Container**: 演示了标准的 `load_state``serialize_state` 模式,确保业务状态(如 `Material` UUID能正确往返序列化。
### [组件] 台面 (Decks)
#### [修改] [decks.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/resources/bioyond/decks.py)
*`BIOYOND_YB_Deck` 重命名为 **`BioyondElectrolyteDeck`**,对应工厂函数 `YB_Deck()` 重命名为 **`bioyond_electrolyte_deck()`**。
* `BIOYOND_PolymerReactionStation_Deck``BIOYOND_PolymerPreparationStation_Deck` **保持不变**
* 以上三个 Deck 的 `__init__` 中均移除 `setup` 参数和 `setup()` 调用,删除临时的 `deserialize` 重写。
#### [修改 + 重命名] [YB_YH_materials.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py) → `yihua_coin_cell_materials.py`
*`CoincellDeck` 重命名为 **`YihuaCoinCellDeck`**,对应工厂函数 `YH_Deck()` 重命名为 **`yihua_coin_cell_deck()`**。
*`YihuaCoinCellDeck.__init__` 中移除 `setup` 参数和 `setup()` 调用,删除临时的 `deserialize` 重写。
### [组件] 容器类与弹夹 (Itemized Carriers & Magazines)
#### [修改] [magazine.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/resources/battery/magazine.py)
* 重构 `magazine_factory`:将创建 `MagazineHolder` 几何结构(空槽位)的过程与填充 `ElectrodeSheet` 物料的过程分离。
* 确保 `MagazineHolder``Magazine``__init__` 过程中不主动创建任何内容物。
#### [修改] [warehouse.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/resources/warehouse.py)
* 确保 `WareHouse` 类和 `warehouse_factory` 遵循相同模式:先初始化几何结构,内容物另行处理。
#### [修改] [itemized_carrier.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/resources/itemized_carrier.py)
* 移除之前添加的 `idx is None` 兜底补丁。
* 修复命名规范,确保 `assign_child_resource` 在反序列化时能准确匹配资源。
### [组件] 状态兼容性 (State Compatibility)
#### [修改] [resource_tracker.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/resources/resource_tracker.py)
*`to_plr_resources` 方法中调用 `load_all_state` 之前,预处理 `all_states` 字典。
* 对于 `Container` 类型的资源,如果其状态中缺少 `liquid_history``pending_liquids` 等 PLR 新版本要求的键,则填充默认值(如空列表/字典),防止反序列化中断。
### [组件] 料盘 (Material Plates)
#### [修改] [YB_YH_materials.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py)
* 重构 `MaterialPlate`:不在 `__init__` 中直接调用 `create_ordered_items_2d`
* 重构 `YIHUA_Electrolyte_12VialCarrier`:将其修改为标准的基类定义或在工厂方法中彻底剥离内部 12 个 `YB_pei_ye_xiao_Bottle` 的强制初始化,以防反序列化冲突。
### [组件] 跨站转运与分液瓶板 (Vial Plate Transfer)
#### [修改] [bioyond_cell_workstation.py] & [YB_YH_materials.py]
* **分析**:目前的 `bioyond_cell_workstation.py` 在执行转移时,是用 `sites=["electrolyte_buffer"]` 试图把整块 `YB_Vial_5mL_Carrier` 板转移给目标。但由于实际工艺中,配液站将分液瓶板传往扣电工站后,是由扣电工站的机械臂**逐瓶抓取**并放入内部的 `bottle_rack_6x2`(电解液缓存位),用完后再放入 `bottle_rack_6x2_2`(废液位),因此配液站的这一次“跨工位资源树转移”在逻辑上存在偏差:目标槽位不应该是装单瓶的载体 `bottle_rack`
* **修复方案**
1. **目标端 (Yihua 侧)**
*`YB_YH_materials.py` 中为从配液站传过来的“分液瓶板”本身设置一个接驳专用的 `PlateSlot`(或者单纯直接移到 Deck 指定坐标)。这个位置负责真正在资源树层级上合法接收配液站传过来的完整 Board。
* 重构 `YIHUA_Electrolyte_12VialCarrier`:为了防止初始化反序列化冲突,取消内部在 `__init__` 中自动填充满 12 个 `YB_pei_ye_xiao_Bottle` 实例的逻辑。`bottle_rack_6x2``bottle_rack_6x2_2` 初始化时均应为空。
2. **转运端 (Bioyond 侧)**
* 修改 `bioyond_cell_workstation.py` 的资源树数字转运代码,将其转移目标对应到 Yihua 侧新设立的“分液瓶板接驳区域”资源,或者干脆只更新资源树坐标位置(使其脱离 Bioyond Deck 加入 Yihua Deck而不再强行挂载到一个无法容纳 Carrier 的 `bottle_rack_6x2` 内部。
### [组件] 依华扣电组装工站物料余量监控 (Material Monitoring)
#### [修改] 寄存器直读与前端集成
* **物理对象保留但虚化追踪**:原有的实体台面对象(如 `MaterialPlate``MagazineHolder` 各类型及其对应的洞位坐标)**仍然保留并使用**。保留它们是为了给机器臂提供基础的物理空间取放标定,以及作为前端页面的可视和可交互区块。
* **内部物料免追踪**:既然余量完全由寄存器接管,**我们将不再在这些弹夹或洞位内部显式生成、塞入和追踪每一个具体的极片或外壳对象 (如 `ElectrodeSheet` 等)**。这恰好与我们的重构主旨(不主动在 `__init__` 建子物料以避开反序列化冲突)完美结合,进一步极大地减轻了后台资源树对象的复杂度。
* **监控方式变更**:放弃现有的物料余量方式,直接读取依华扣电组装工站开放的寄存器地址以获取准确余量。
* **前端界面集成**:在前端界面点击负极壳、弹垫片等弹夹的 data view 时,直接读取并显示寄存器中的各自余量。
* **新增寄存器映射** (参考 `coin_cell_assembly_b.csv`)
* `10mm正极片剩余物料数量R``read hold_register 520` (REAL)
* `12mm正极片剩余物料数量R``read hold_register 522` (REAL)
* `16mm正极片剩余物料数量R``read hold_register 524` (REAL)
* `铝箔剩余物料数量R``read hold_register 526` (REAL)
* `正极壳剩余物料数量R``read hold_register 528` (REAL)
* `平垫剩余物料数量R``read hold_register 530` (REAL)
* `负极壳剩余物料数量R``read hold_register 532` (REAL)
* `弹垫剩余物料数量R``read hold_register 534` (REAL)
* `成品电池剩余可容纳数量R``read hold_register 536` (REAL)
* `成品电池NG槽剩余可容纳数量R``read hold_register 538` (REAL)
### [配置] JSON 配置文件 (Configuration Files)
#### [修改] 资源类型名称更新
* 更新以下配置文件,将其中的 `BIOYOND_YB_Deck` 替换为新的类名 **`BioyondElectrolyteDeck`**,以及将 `coin_cell_deck` 替换为 **`YihuaCoinCellDeck`**
* `yibin_electrolyte_config.json`
* `yibin_coin_cell_only_config.json`
* `yibin_electrolyte_only_config.json`
## 验证计划
### 自动化测试
* 对重构后的类运行 `pylabrobot` 序列化/反序列化测试,确保状态能够完美恢复。
* 检查各工作站节点启动时是否仍存在 `ValueError: Resource '...' already assigned to deck` 报错。
* 检查 `resource_tracker` 中是否仍存在重复 UUID 报错。
### 手动验证
* 重启各工作站节点,验证资源树是否能根据数据库数据正确还还原。
* 验证“自动”与“手动”传输窗资源在台面上的分配是否正确。

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@@ -1,388 +0,0 @@
# 物料系统标准化重构方案 v2增强版
> **基于原始方案 (`implementation_plan.md`) 的补充与细化**。
> 本文档在原方案基础上:①增加当前代码现状核查结果;②明确各任务的执行顺序与文件级改动;③新增注意事项与回归测试命令。
---
## 0. 核心原则(保持不变)
"**物理几何结构初始化Deck / Carrier / Magazine 的 `__init__`)与物料内容物填充(`setup()` / `klasses` 参数)必须彻底解耦**",以消除 PLR 反序列化时的 `Resource already assigned to deck` 错误。
---
## 1. 当前代码现状核查2026-03-12
| 文件 | 计划要求 | 当前状态 | 是否完成 |
|---|---|---|---|
| `resources/bioyond/decks.py` | 重命名类;移除 `setup` 参数和 `deserialize` 补丁 | 仍是 `BIOYOND_YB_Deck``setup` 参数和 `deserialize` 均存在 | ❌ |
| `coin_cell_assembly/YB_YH_materials.py` | 重命名类;文件迁移;移除补丁 | 仍是 `CoincellDeck``setup` 参数和 `deserialize` 均存在 | ❌ |
| `resources/battery/magazine.py` | `magazine_factory` 不主动填充物料 | `MagazineHolder_6_Cathode` / `_6_Anode` / `_4_Cathode` 仍传 `klasses`,初始化时填满极片 | ❌ |
| `resources/battery/bottle_carriers.py` | `YIHUA_Electrolyte_12VialCarrier` 初始化时不填充瓶子 | 第 54-55 行仍循环填充 12 个 `YB_pei_ye_xiao_Bottle` | ❌ |
| `resources/itemized_carrier.py` | 移除 `idx is None` 兜底补丁 | 第 182-190 行仍保留该兜底逻辑 | ❌(待前置任务完成后移除) |
| `resources/resource_tracker.py` | `load_all_state` 前预填 `Container` 缺失键 | 第 616 行直接调用,无预处理 | ❌ |
| `bioyond_cell_workstation.py` | 修正跨站转运目标为合法接驳槽 | 第 1563 行仍 `sites=["electrolyte_buffer"]`,目标 UUID 为硬编码虚拟资源 | ❌ |
| `yibin_*.json` 配置文件 | 更新类名 | 仍使用 `BIOYOND_YB_Deck` / `CoincellDeck` | ❌ |
| `registry/resources/bioyond/deck.yaml` | 更新类名(原计划未提及) | 仍使用 `BIOYOND_YB_Deck` / `CoincellDeck` | ❌(**新增** |
---
## 2. 执行顺序(含依赖关系)
```
阶段 A底层资源类
A1. magazine.py — 移除 klasses 填充
A2. bottle_carriers.py — 移除瓶子填充
阶段 BDeck 层)
B1. decks.py — 移除 setup 参数和 deserialize 补丁;重命名
B2. YB_YH_materials.py → 重命名;移除 CoincellDeck 的 setup 参数和 deserialize 补丁
阶段 C状态兼容
C1. resource_tracker.py — 预填 Container 缺失键
C2. itemized_carrier.py — 移除 idx is None 兜底补丁B 阶段完成后)
阶段 D跨站转运修复
D1. YB_YH_materials.py 新增 vial_plate_dock接驳专用槽
D2. bioyond_cell_workstation.py 修正 transfer 目标
阶段 E配置与注册表
E1. yibin_*.json 更新类名
E2. registry/resources/bioyond/deck.yaml 更新类名
E3. coin_cell_assembly.py 更新导入路径(若文件重命名)
```
---
## 3. 分阶段详细说明
---
### 阶段 A — 底层资源类
#### A1. `unilabos/resources/battery/magazine.py`
**问题**`MagazineHolder_6_Cathode``MagazineHolder_6_Anode``MagazineHolder_4_Cathode` 在调用 `magazine_factory` 时传入 `klasses`,导致每次 `__init__` 就填满极片,反序列化时重复添加。
**修改**
- 将三个函数中的 `klasses=[...]` 改为 `klasses=None`(与 `MagazineHolder_6_Battery` 保持一致)。
- **理由**:物料余量已由寄存器管理(见阶段 F不需要在资源树中追踪每一个极片。
```python
# 修改前MagazineHolder_6_Cathode 举例)
klasses=[FlatWasher, PositiveCan, PositiveCan, FlatWasher, PositiveCan, PositiveCan],
# 修改后
klasses=None,
```
> **注意**`magazine_factory` 中 `klasses` 参数及循环体代码保留(仍可按需在非序列化场景使用),只是各具体工厂函数不再传入。
---
#### A2. `unilabos/resources/battery/bottle_carriers.py`
**问题**`YIHUA_Electrolyte_12VialCarrier` 第 54-55 行在工厂函数末尾循环填充 12 个瓶子。
**修改**:删除以下两行:
```python
# 删除
for i in range(12):
carrier[i] = YB_pei_ye_xiao_Bottle(f"{name}_vial_{i+1}")
```
**理由**`bottle_rack_6x2``bottle_rack_6x2_2` 均应初始化为空,瓶子由 Bioyond 侧实际转运后再填入。
---
### 阶段 B — Deck 层重构
#### B1. `unilabos/resources/bioyond/decks.py`
**改动列表**
1. **重命名** `BIOYOND_YB_Deck``BioyondElectrolyteDeck`
2. **重命名** `YB_Deck()` 工厂函数 → `bioyond_electrolyte_deck()`
3. **移除** `__init__` 中的 `setup: bool = False` 参数及 `if setup: self.setup()` 调用
4. **删除** `deserialize` 方法重写(该临时补丁在 `setup` 参数移除后自然失效,继续保留反而掩盖问题)
5. `BIOYOND_PolymerReactionStation_Deck``BIOYOND_PolymerPreparationStation_Deck` 同步执行第 3、4 步
**重构后初始化模式**
```python
class BioyondElectrolyteDeck(Deck):
def __init__(self, name: str = "YB_Deck", ...):
super().__init__(name=name, ...)
# ❌ 不调用 self.setup()
# PLR 反序列化时只会调用 __init__然后从 children JSON 重建子资源
def setup(self) -> None:
# 完整的子资源初始化逻辑保留在这里,只由工厂函数调用
...
def bioyond_electrolyte_deck(name: str) -> BioyondElectrolyteDeck:
deck = BioyondElectrolyteDeck(name=name)
deck.setup() # ✅ 工厂函数负责填充
return deck
```
**同步修改**
- `bioyond_cell_workstation.py` 第 20 行:
```python
# 修改前
from unilabos.resources.bioyond.decks import BIOYOND_YB_Deck
# 修改后
from unilabos.resources.bioyond.decks import BioyondElectrolyteDeck
```
- 同文件第 2440 行:`BIOYOND_YB_Deck(setup=True)` → `bioyond_electrolyte_deck(name="YB_Deck")`
---
#### B2. `unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py`
**改动列表**
1. **重命名** `CoincellDeck` → `YihuaCoinCellDeck`
2. **重命名** `YH_Deck()` → `yihua_coin_cell_deck()`(可保留 `YH_Deck` 作为兼容别名,日后废弃)
3. **移除** `CoincellDeck.__init__` 中 `setup: bool = False` 参数及调用
4. **删除** `CoincellDeck.deserialize` 重写方法
5. `MaterialPlate.__init__` 中移除 `fill` 参数,始终不主动调用 `create_ordered_items_2d`(当前 `fill=False` 路径已正确,只需删除 `fill=True` 分支)
```python
# 修改前MaterialPlate.__init__ 片段)
if fill:
super().__init__(..., ordered_items=holes, ...)
else:
super().__init__(..., ordered_items=ordered_items, ...)
# 修改后(始终走 "不填充" 路径)
super().__init__(..., ordered_items=ordered_items, ...)
# holes 的创建代码整体移入独立工厂方法
```
**同步修改**
- `coin_cell_assembly.py` 第 20 行导入:
```python
# 修改前
from unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials import CoincellDeck
# 修改后
from unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials import YihuaCoinCellDeck
```
- 同文件第 2245 行:`CoincellDeck(setup=True, name="coin_cell_deck")` → `yihua_coin_cell_deck(name="coin_cell_deck")`
- 文件重命名(可选):`YB_YH_materials.py` → `yihua_coin_cell_materials.py`(若重命名,所有 import 路径需全局替换)
---
### 阶段 C — 状态兼容
#### C1. `unilabos/resources/resource_tracker.py`
**问题**:第 616 行直接调用 `plr_resource.load_all_state(all_states)`,若 `Container` 类资源的 `data` 字段缺少 `liquid_history` 或 `pending_liquids`PLR 新版本会抛出 `KeyError`。
**修改**:在第 616 行前插入预处理:
```python
# 在 load_all_state 调用前预填缺失键
from pylabrobot.resources.container import Container as PLRContainer
for res_name, state in all_states.items():
if state and isinstance(state, dict):
# Container 类型要求这两个键存在
state.setdefault("liquid_history", [])
state.setdefault("pending_liquids", {})
plr_resource.load_all_state(all_states)
```
---
#### C2. `unilabos/resources/itemized_carrier.py`
**前提**B1、B2 阶段完成Deck 类名与资源命名规范已对齐后再执行此步。
**修改**:删除第 182-190 行的兜底补丁:
```python
# 删除以下整个 if 块
if idx is None:
fallback_location = location if location is not None else Coordinate.zero()
super().assign_child_resource(resource, location=fallback_location, reassign=reassign)
return
```
**替代**:改为抛出带诊断信息的异常,便于后续问题排查:
```python
if idx is None:
raise ValueError(
f"[ItemizedCarrier] 无法为资源 '{resource.name}' 找到匹配的槽位。"
f"已知槽位:{list(self.child_locations.keys())}"
f"传入坐标:{location}"
)
```
---
### 阶段 D — 跨站转运修复
#### D1. `YB_YH_materials.py` — 新增分液瓶板接驳槽
在 `YihuaCoinCellDeck.setup()` 中,新增一个专用于接收 Bioyond 侧传来的完整分液瓶板的 `ResourceStack`(或 `PlateSlot`
```python
# 在 setup() 末尾追加
from pylabrobot.resources.resource_stack import ResourceStack
vial_plate_dock = ResourceStack(
name="electrolyte_buffer", # 保持与 bioyond_cell_workstation.py 的 sites 键一致
direction="z",
resources=[],
)
self.assign_child_resource(vial_plate_dock, Coordinate(x=1050.0, y=700.0, z=0))
```
> **说明**:槽位命名 `electrolyte_buffer` 与 `bioyond_cell_workstation.py` 现有的 `sites=["electrolyte_buffer"]` 对应减少改动量。如改名D2 需同步。
---
#### D2. `bioyond_cell_workstation.py` — 修正 transfer 目标
**问题**:第 1545-1552 行创建了一个 `size=1,1,1` 的虚拟 `ResourcePLR` 并硬编码 UUID这个对象在 YihuaCoinCellDeck 的资源树中不存在,导致转移后资源树状态混乱。
**修改**
```python
# 修改前:创建虚拟目标资源
target_resource_obj = ResourcePLR(name=target_location, size_x=1.0, ...)
target_resource_obj.unilabos_uuid = "550e8400-e29b-41d4-a716-446655440001" # 硬编码
# 修改后:通过 ROS2/设备注册表查询真实资源
# (需要从 target_device 的资源树中取出 electrolyte_buffer 的真实对象)
target_resource_obj = self._get_resource_from_device(
device_id=target_device,
resource_name=target_location
)
if target_resource_obj is None:
raise RuntimeError(
f"目标设备 {target_device} 中未找到资源 '{target_location}'"
f"请确认 YihuaCoinCellDeck.setup() 中已添加 electrolyte_buffer 槽位"
)
```
> **说明**`_get_resource_from_device` 需根据现有 ROS2 资源同步机制实现,或复用已有的 `get_plr_resource_by_name` 类似方法。
---
### 阶段 E — 配置与注册表
#### E1. `yibin_electrolyte_config.json` / `yibin_coin_cell_only_config.json` / `yibin_electrolyte_only_config.json`
全局替换以下字符串:
| 旧值 | 新值 |
|---|---|
| `BIOYOND_YB_Deck` | `BioyondElectrolyteDeck` |
| `unilabos.resources.bioyond.decks:BIOYOND_YB_Deck` | `unilabos.resources.bioyond.decks:BioyondElectrolyteDeck` |
| `CoincellDeck` | `YihuaCoinCellDeck` |
| `unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials:CoincellDeck` | 若文件已重命名:`unilabos.devices.workstation.coin_cell_assembly.yihua_coin_cell_materials:YihuaCoinCellDeck` |
---
#### E2. `unilabos/registry/resources/bioyond/deck.yaml`**原计划未覆盖,新增**
当前第 25 行和第 37 行仍使用旧类名,需同步更新:
```yaml
# 修改前
BIOYOND_YB_Deck:
...
CoincellDeck:
...
# 修改后
BioyondElectrolyteDeck:
...
YihuaCoinCellDeck:
...
```
---
### 阶段 F — 物料余量监控集成原计划第5节细化
**目标**:弃用资源树内极片对象计数,改为直读依华扣电工站寄存器。
#### F1. `coin_cell_assembly/coin_cell_assembly.py` — 新增寄存器读取方法
参考 `coin_cell_assembly_b.csv` 中的地址,封装读取工具方法:
```python
MATERIAL_REGISTER_MAP = {
"10mm正极片": (520, "REAL"),
"12mm正极片": (522, "REAL"),
"16mm正极片": (524, "REAL"),
"铝箔": (526, "REAL"),
"正极壳": (528, "REAL"),
"平垫": (530, "REAL"),
"负极壳": (532, "REAL"),
"弹垫": (534, "REAL"),
"成品容量": (536, "REAL"),
"成品NG容量": (538, "REAL"),
}
def get_material_remaining(self, material_name: str) -> float:
"""通过寄存器直读指定物料的剩余数量"""
if material_name not in MATERIAL_REGISTER_MAP:
raise KeyError(f"未知物料名称: {material_name}")
address, dtype = MATERIAL_REGISTER_MAP[material_name]
return self.read_hold_register(address, dtype) # 复用现有 Modbus 读取方法
```
#### F2. 前端 data view 集成
- 前端点击 `MagazineHolder` 类资源的 data view 时,调用后端 `get_material_remaining` 接口(而非读取 `children` 长度)。
- 具体接口路径和前端调用代码需与前端开发同步,本文档不作具体实现约定。
---
## 4. 验证计划(细化)
### 4.1 单元测试(自动化)
```bash
# 序列化/反序列化往返测试
python -m pytest unilabos/test/ -k "serial" -v
# 特别检查以下错误消失:
# - ValueError: Resource '...' already assigned to deck
# - KeyError: 'liquid_history'
# - 重复 UUID 报错
```
### 4.2 集成测试(手动)
按以下顺序逐步验证,确保每步正常后再进行下一步:
1. **单独启动 `BatteryStation` 节点**,检查 `CoincellDeck`(现 `YihuaCoinCellDeck`)能否从数据库状态正确还原,无 `already assigned` 报错。
2. **单独启动 `BioyondElectrolyte` 节点**,检查 `BioyondElectrolyteDeck` 反序列化正常。
3. **同时启动两个节点**,模拟执行一次分液→扣电的完整跨站转运,确认:
- `electrolyte_buffer` 槽位正确接收分液瓶板。
- `bottle_rack_6x2` 初始为空,不出现虚拟瓶子。
4. **重启两个节点**(模拟断电恢复),确认资源树从数据库还原后,`electrolyte_buffer` 中仍持有正确的分液瓶板对象。
5. **寄存器余量读取**:手动触发 `get_material_remaining("负极壳")`,确认返回值与设备显示一致。
---
## 5. 与原计划的差异对照
| 维度 | 原计划 | 本文档新增/修订 |
|---|---|---|
| 执行顺序 | 未排序 | 明确 A→B→C→D→E→F 的依赖顺序 |
| `itemized_carrier.py` | 移除兜底补丁 | 补充:替换为带诊断信息的异常,便于排查 |
| `bottle_carriers.py` | 提及 `YIHUA_Electrolyte_12VialCarrier` 需修改 | 明确:删除第 54-55 行的瓶子填充循环 |
| `MaterialPlate` | 提及移除 `fill` 参数 | 说明保留 `fill=False` 路径;整体删除 `fill=True` 分支 |
| `deck.yaml` | 未提及 | **新增**:该注册文件也需要同步更新类名 |
| `resource_tracker.py` | 简略描述 | 提供具体的 `setdefault` 预处理代码示例 |
| 跨站转运 | 描述了问题和方向 | 细化:新增 `electrolyte_buffer` 槽位的具体名称和坐标;修正 `transfer` 目标查找方式 |
| 验证计划 | 简述目标 | 提供具体测试命令和逐步手动验证流程 |

View File

@@ -679,17 +679,14 @@ def _resolve_name(name: str, import_map: Dict[str, str]) -> str:
return name
_DECORATOR_ENUM_CLASSES = frozenset({"Side", "DataSource", "NodeType"})
def _resolve_attribute(node: ast.Attribute, import_map: Dict[str, str]) -> str:
"""
Resolve an attribute access like Side.NORTH or DataSource.HANDLE.
对于来自 ``unilabos.registry.decorators`` 的枚举类 (Side / DataSource / NodeType)
直接返回枚举成员名 (如 ``"NORTH"`` / ``"HANDLE"`` / ``"MANUAL_CONFIRM"``)
省去消费端二次 rsplit 解析。其它 import 仍返回完整模块路径。
Returns a string like "NORTH" for enum values, or
"module.path:Class.attr" for imported references.
"""
# Get the full dotted path
parts = []
current = node
while isinstance(current, ast.Attribute):
@@ -699,20 +696,21 @@ def _resolve_attribute(node: ast.Attribute, import_map: Dict[str, str]) -> str:
parts.append(current.id)
parts.reverse()
# parts = ["Side", "NORTH"] or ["DataSource", "HANDLE"] or ["NodeType", "MANUAL_CONFIRM"]
# parts = ["Side", "NORTH"] or ["DataSource", "HANDLE"]
if len(parts) >= 2:
base = parts[0]
attr = ".".join(parts[1:])
if base in _DECORATOR_ENUM_CLASSES:
source = import_map.get(base, "")
if not source or _REGISTRY_DECORATOR_MODULE in source:
return parts[-1]
# If the base is an imported name, resolve it
if base in import_map:
return f"{import_map[base]}.{attr}"
# For known enum-like patterns, return just the value
# e.g. Side.NORTH -> "NORTH"
if base in ("Side", "DataSource"):
return parts[-1]
return ".".join(parts)
@@ -825,7 +823,6 @@ def _extract_class_body(
action_args.setdefault("placeholder_keys", {})
action_args.setdefault("always_free", False)
action_args.setdefault("is_protocol", False)
action_args.setdefault("feedback_interval", 1.0)
action_args.setdefault("description", "")
action_args.setdefault("auto_prefix", False)
action_args.setdefault("parent", False)

View File

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

File diff suppressed because it is too large Load Diff

View File

@@ -64,12 +64,59 @@ coincellassemblyworkstation_device:
properties: {}
required: []
type: object
result: {}
result:
type: boolean
required:
- goal
title: fun_wuliao_test参数
type: object
type: UniLabJsonCommand
auto-func_allpack_cmd:
feedback: {}
goal: {}
goal_default:
assembly_pressure: 4200
assembly_type: 7
elec_num: null
elec_use_num: null
elec_vol: 50
file_path: /Users/sml/work
handles: {}
placeholder_keys: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
assembly_pressure:
default: 4200
type: integer
assembly_type:
default: 7
type: integer
elec_num:
type: string
elec_use_num:
type: string
elec_vol:
default: 50
type: integer
file_path:
default: /Users/sml/work
type: string
required:
- elec_num
- elec_use_num
type: object
result:
type: object
required:
- goal
title: func_allpack_cmd参数
type: object
type: UniLabJsonCommand
auto-func_allpack_cmd_simp:
feedback: {}
goal: {}
@@ -102,7 +149,7 @@ coincellassemblyworkstation_device:
goal:
properties:
assembly_pressure:
default: 3200
default: 4200
description: 电池压制力(N)
type: integer
assembly_type:
@@ -118,7 +165,7 @@ coincellassemblyworkstation_device:
description: 是否启用压力模式
type: boolean
dual_drop_first_volume:
default: 0
default: 25
description: 二次滴液第一次排液体积(μL)
type: integer
dual_drop_mode:
@@ -137,7 +184,6 @@ coincellassemblyworkstation_device:
description: 电解液瓶数
type: string
elec_use_num:
default: 5
description: 每瓶电解液组装电池数
type: string
elec_vol:
@@ -145,7 +191,7 @@ coincellassemblyworkstation_device:
description: 电解液吸液量(μL)
type: integer
file_path:
default: D:\UniLabdev\Uni-Lab-OS\unilabos\devices\workstation\coin_cell_assembly
default: /Users/sml/work
description: 实验记录保存路径
type: string
fujipian_juzhendianwei:
@@ -176,7 +222,8 @@ coincellassemblyworkstation_device:
- elec_num
- elec_use_num
type: object
result: {}
result:
type: object
required:
- goal
title: func_allpack_cmd_simp参数
@@ -265,7 +312,8 @@ coincellassemblyworkstation_device:
type: boolean
required: []
type: object
result: {}
result:
type: boolean
required:
- goal
title: func_pack_device_init_auto_start_combined参数
@@ -307,7 +355,8 @@ coincellassemblyworkstation_device:
properties: {}
required: []
type: object
result: {}
result:
type: boolean
required:
- goal
title: func_pack_device_stop参数
@@ -332,7 +381,8 @@ coincellassemblyworkstation_device:
type: string
required: []
type: object
result: {}
result:
type: boolean
required:
- goal
title: func_pack_get_msg_cmd参数
@@ -346,10 +396,12 @@ coincellassemblyworkstation_device:
handles:
input:
- data_key: bottle_num
data_source: handle
data_source: workflow
data_type: integer
handler_key: bottle_count
io_type: source
label: 配液瓶数
required: true
placeholder_keys: {}
result: {}
schema:
@@ -384,7 +436,8 @@ coincellassemblyworkstation_device:
properties: {}
required: []
type: object
result: {}
result:
type: boolean
required:
- goal
title: func_pack_send_finished_cmd参数
@@ -421,7 +474,8 @@ coincellassemblyworkstation_device:
- assembly_type
- assembly_pressure
type: object
result: {}
result:
type: boolean
required:
- goal
title: func_pack_send_msg_cmd参数
@@ -477,21 +531,12 @@ coincellassemblyworkstation_device:
handles:
input:
- data_key: elec_num
data_source: handle
data_source: workflow
data_type: integer
handler_key: bottle_count
io_type: source
label: 配液瓶数
- data_key: formulations
data_source: handle
data_type: array
handler_key: formulations_input
label: 配方信息列表
output:
- data_key: assembly_data
data_source: executor
data_type: array
handler_key: assembly_data_output
label: 扣电组装数据列表
required: true
placeholder_keys: {}
result: {}
schema:
@@ -574,7 +619,8 @@ coincellassemblyworkstation_device:
- elec_num
- elec_use_num
type: object
result: {}
result:
type: object
required:
- goal
title: func_sendbottle_allpack_multi参数
@@ -626,31 +672,6 @@ coincellassemblyworkstation_device:
title: modify_deck_name参数
type: object
type: UniLabJsonCommand
auto-post_init:
feedback: {}
goal: {}
goal_default:
ros_node: null
handles: {}
placeholder_keys: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
ros_node:
type: object
required:
- ros_node
type: object
result: {}
required:
- goal
title: post_init参数
type: object
type: UniLabJsonCommand
auto-qiming_coin_cell_code:
feedback: {}
goal: {}
@@ -698,7 +719,8 @@ coincellassemblyworkstation_device:
required:
- fujipian_panshu
type: object
result: {}
result:
type: boolean
required:
- goal
title: qiming_coin_cell_code参数
@@ -706,10 +728,6 @@ coincellassemblyworkstation_device:
type: UniLabJsonCommand
module: unilabos.devices.workstation.coin_cell_assembly.coin_cell_assembly:CoinCellAssemblyWorkstation
status_types:
data_10mm_positive_plate_remaining: float
data_12mm_positive_plate_remaining: float
data_16mm_positive_plate_remaining: float
data_aluminum_foil_remaining: float
data_assembly_coin_cell_num: int
data_assembly_pressure: int
data_assembly_time: float
@@ -717,22 +735,14 @@ coincellassemblyworkstation_device:
data_axis_y_pos: float
data_axis_z_pos: float
data_coin_cell_code: str
data_coin_type: int
data_current_assembling_count: int
data_current_completed_count: int
data_coin_num: int
data_electrolyte_code: str
data_electrolyte_volume: int
data_finished_battery_ng_remaining_capacity: float
data_finished_battery_remaining_capacity: float
data_flat_washer_remaining: float
data_glove_box_o2_content: float
data_glove_box_pressure: float
data_glove_box_water_content: float
data_negative_shell_remaining: float
data_open_circuit_voltage: float
data_pole_weight: float
data_positive_shell_remaining: float
data_spring_washer_remaining: float
request_rec_msg_status: bool
request_send_msg_status: bool
sys_mode: str
@@ -762,14 +772,6 @@ coincellassemblyworkstation_device:
type: object
data:
properties:
data_10mm_positive_plate_remaining:
type: number
data_12mm_positive_plate_remaining:
type: number
data_16mm_positive_plate_remaining:
type: number
data_aluminum_foil_remaining:
type: number
data_assembly_coin_cell_num:
type: integer
data_assembly_pressure:
@@ -784,38 +786,22 @@ coincellassemblyworkstation_device:
type: number
data_coin_cell_code:
type: string
data_coin_type:
type: integer
data_current_assembling_count:
type: integer
data_current_completed_count:
data_coin_num:
type: integer
data_electrolyte_code:
type: string
data_electrolyte_volume:
type: integer
data_finished_battery_ng_remaining_capacity:
type: number
data_finished_battery_remaining_capacity:
type: number
data_flat_washer_remaining:
type: number
data_glove_box_o2_content:
type: number
data_glove_box_pressure:
type: number
data_glove_box_water_content:
type: number
data_negative_shell_remaining:
type: number
data_open_circuit_voltage:
type: number
data_pole_weight:
type: number
data_positive_shell_remaining:
type: number
data_spring_washer_remaining:
type: number
request_rec_msg_status:
type: boolean
request_send_msg_status:
@@ -825,36 +811,24 @@ coincellassemblyworkstation_device:
sys_status:
type: string
required:
- sys_status
- sys_mode
- request_rec_msg_status
- request_send_msg_status
- data_assembly_coin_cell_num
- data_open_circuit_voltage
- data_assembly_pressure
- data_assembly_time
- data_axis_x_pos
- data_axis_y_pos
- data_axis_z_pos
- data_pole_weight
- data_assembly_pressure
- data_electrolyte_volume
- data_coin_type
- data_current_assembling_count
- data_current_completed_count
- data_coin_cell_code
- data_coin_num
- data_electrolyte_code
- data_glove_box_pressure
- data_electrolyte_volume
- data_glove_box_o2_content
- data_glove_box_pressure
- data_glove_box_water_content
- data_10mm_positive_plate_remaining
- data_12mm_positive_plate_remaining
- data_16mm_positive_plate_remaining
- data_aluminum_foil_remaining
- data_positive_shell_remaining
- data_flat_washer_remaining
- data_negative_shell_remaining
- data_spring_washer_remaining
- data_finished_battery_remaining_capacity
- data_finished_battery_ng_remaining_capacity
- data_open_circuit_voltage
- data_pole_weight
- request_rec_msg_status
- request_send_msg_status
- sys_mode
- sys_status
type: object
registry_type: device
version: 1.0.0

View File

@@ -31,6 +31,6 @@ hotel.thermo_orbitor_rs2_hotel:
type: object
model:
mesh: thermo_orbitor_rs2_hotel
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/thermo_orbitor_rs2_hotel/macro_device.xacro
type: device
version: 1.0.0

File diff suppressed because it is too large Load Diff

View File

@@ -329,7 +329,7 @@ robotic_arm.SCARA_with_slider.moveit.virtual:
type: object
model:
mesh: arm_slider
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/arm_slider/macro_device.xacro
type: device
version: 1.0.0
robotic_arm.UR:

View File

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

View File

@@ -33,8 +33,6 @@ from unilabos.registry.decorators import (
is_not_action,
is_always_free,
get_topic_config,
NodeType,
normalize_enum_value,
)
from unilabos.registry.utils import (
ROSMsgNotFound,
@@ -161,10 +159,9 @@ class Registry:
ast_entry = self.device_type_registry.get("host_node", {})
ast_actions = ast_entry.get("class", {}).get("action_value_mappings", {})
# 取出 AST 生成的 action entries, 补充特定覆写
# 取出 AST 生成的 auto-method entries, 补充特定覆写
test_latency_action = ast_actions.get("auto-test_latency", {})
test_resource_action = ast_actions.get("auto-test_resource", {})
manual_confirm_action = ast_actions.get("manual_confirm", {})
test_resource_action["handles"] = {
"input": [
{
@@ -237,12 +234,9 @@ class Registry:
"parent": "unilabos_nodes",
"class_name": "unilabos_class",
},
"always_free": True,
"feedback_interval": 300.0,
},
"test_latency": test_latency_action,
"auto-test_resource": test_resource_action,
"manual_confirm": manual_confirm_action,
},
"init_params": {},
},
@@ -830,9 +824,8 @@ class Registry:
raw_handles = (action_args or {}).get("handles")
handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
# placeholder_keys: 先从参数类型自动检测,再用装饰器显式配置覆盖/补充
pk = detect_placeholder_keys(params)
pk.update((action_args or {}).get("placeholder_keys") or {})
# placeholder_keys: 优先用装饰器显式配置,否则从参数类型检测
pk = (action_args or {}).get("placeholder_keys") or detect_placeholder_keys(params)
# 从方法返回值类型生成 result schema
result_schema = None
@@ -854,11 +847,6 @@ class Registry:
}
if (action_args or {}).get("always_free") or method_info.get("always_free"):
entry["always_free"] = True
_fb_iv = (action_args or {}).get("feedback_interval", method_info.get("feedback_interval", 1.0))
entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value((action_args or {}).get("node_type"), NodeType)
if nt:
entry["node_type"] = nt
return action_name, entry
# 1) auto- actions
@@ -979,15 +967,10 @@ class Registry:
"schema": schema,
"goal_default": goal_default,
"handles": handles,
"placeholder_keys": {**detect_placeholder_keys(method_params), **(action_args.get("placeholder_keys") or {})},
"placeholder_keys": action_args.get("placeholder_keys") or detect_placeholder_keys(method_params),
}
if action_args.get("always_free") or method_info.get("always_free"):
action_entry["always_free"] = True
_fb_iv = action_args.get("feedback_interval", method_info.get("feedback_interval", 1.0))
action_entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value(action_args.get("node_type"), NodeType)
if nt:
action_entry["node_type"] = nt
action_value_mappings[action_name] = action_entry
action_value_mappings = dict(sorted(action_value_mappings.items()))
@@ -1170,7 +1153,7 @@ class Registry:
return Path(BasicConfig.working_dir) / "registry_cache.pkl"
return None
_CACHE_VERSION = 4
_CACHE_VERSION = 3
def _load_config_cache(self) -> dict:
import pickle
@@ -1895,9 +1878,6 @@ class Registry:
}
if v.get("always_free"):
entry["always_free"] = True
old_node_type = old_cfg.get("node_type")
if old_node_type in [NodeType.ILAB.value, NodeType.MANUAL_CONFIRM.value]:
entry["node_type"] = old_node_type
device_config["class"]["action_value_mappings"][action_key] = entry
device_config["init_param_schema"] = {}

View File

@@ -1,12 +0,0 @@
YIHUA_Electrolyte_12VialCarrier:
category:
- battery_bottle_carriers
class:
module: unilabos.resources.battery.bottle_carriers:YIHUA_Electrolyte_12VialCarrier
type: pylabrobot
description: YIHUA 12-vial electrolyte carrier for coin cell assembly workstation
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0

View File

@@ -1,140 +1,84 @@
YB_Vial_20mL:
YB_20ml_fenyeping:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_Vial_20mL
module: unilabos.resources.bioyond.YB_bottles:YB_20ml_fenyeping
type: pylabrobot
description: YB_Vial_20mL
description: YB_20ml_fenyeping
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_Vial_5mL:
YB_5ml_fenyeping:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_Vial_5mL
module: unilabos.resources.bioyond.YB_bottles:YB_5ml_fenyeping
type: pylabrobot
description: YB_Vial_5mL
description: YB_5ml_fenyeping
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_DosingHead_L:
YB_jia_yang_tou_da:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_DosingHead_L
module: unilabos.resources.bioyond.YB_bottles:YB_jia_yang_tou_da
type: pylabrobot
description: YB_DosingHead_L
description: YB_jia_yang_tou_da
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_PrepBottle_60mL:
YB_pei_ye_da_Bottle:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_PrepBottle_60mL
module: unilabos.resources.bioyond.YB_bottles:YB_pei_ye_da_Bottle
type: pylabrobot
description: YB_PrepBottle_60mL
description: YB_pei_ye_da_Bottle
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_PrepBottle_15mL:
YB_pei_ye_xiao_Bottle:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_PrepBottle_15mL
module: unilabos.resources.bioyond.YB_bottles:YB_pei_ye_xiao_Bottle
type: pylabrobot
description: YB_PrepBottle_15mL
description: YB_pei_ye_xiao_Bottle
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_Tip_5000uL:
YB_qiang_tou:
category:
- yb3
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_Tip_5000uL
module: unilabos.resources.bioyond.YB_bottles:YB_qiang_tou
type: pylabrobot
description: YB_Tip_5000uL
description: YB_qiang_tou
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_Tip_1000uL:
category:
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_Tip_1000uL
type: pylabrobot
description: YB_Tip_1000uL
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_Tip_50uL:
category:
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_Tip_50uL
type: pylabrobot
description: YB_Tip_50uL
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_NormalLiq_250mL_Bottle:
YB_ye_Bottle:
category:
- yb3
- YB_bottle_carriers
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_NormalLiq_250mL_Bottle
module: unilabos.resources.bioyond.YB_bottles:YB_ye_Bottle
type: pylabrobot
description: YB_NormalLiq_250mL_Bottle
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_NormalLiq_100mL_Bottle:
category:
- YB_bottle_carriers
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_NormalLiq_100mL_Bottle
type: pylabrobot
description: YB_NormalLiq_100mL_Bottle
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_HighVis_250mL_Bottle:
category:
- YB_bottle_carriers
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_HighVis_250mL_Bottle
type: pylabrobot
description: YB_HighVis_250mL_Bottle
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_HighVis_100mL_Bottle:
category:
- YB_bottle_carriers
- YB_bottle
class:
module: unilabos.resources.bioyond.YB_bottles:YB_HighVis_100mL_Bottle
type: pylabrobot
description: YB_HighVis_100mL_Bottle
description: YB_ye_Bottle
handles: []
icon: ''
init_param_schema: {}

View File

@@ -1,29 +1,42 @@
YB_Vial_20mL_Carrier:
YB_100ml_yeti:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_Vial_20mL_Carrier
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_100ml_yeti
type: pylabrobot
description: YB_Vial_20mL_Carrier
description: YB_100ml_yeti
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_Vial_5mL_Carrier:
YB_20ml_fenyepingban:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_Vial_5mL_Carrier
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_20ml_fenyepingban
type: pylabrobot
description: YB_Vial_5mL_Carrier
description: YB_20ml_fenyepingban
handles: []
icon: ''
init_param_schema: {}
version: 1.0.0
YB_5ml_fenyepingban:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_5ml_fenyepingban
type: pylabrobot
description: YB_5ml_fenyepingban
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_6StockCarrier:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_6StockCarrier
@@ -32,10 +45,10 @@ YB_6StockCarrier:
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_6VialCarrier:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_6VialCarrier
@@ -44,137 +57,112 @@ YB_6VialCarrier:
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_DosingHead_L_Carrier:
YB_gao_nian_ye_Bottle:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_DosingHead_L_Carrier
module: unilabos.resources.bioyond.YB_bottles:YB_gao_nian_ye_Bottle
type: pylabrobot
description: YB_DosingHead_L_Carrier
description: YB_gao_nian_ye_Bottle
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_PrepBottle_60mL_Carrier:
YB_gaonianye:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_PrepBottle_60mL_Carrier
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_gaonianye
type: pylabrobot
description: YB_PrepBottle_60mL_Carrier
description: YB_gaonianye
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_PrepBottle_15mL_Carrier:
YB_jia_yang_tou_da_Carrier:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_PrepBottle_15mL_Carrier
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_jia_yang_tou_da_Carrier
type: pylabrobot
description: YB_PrepBottle_15mL_Carrier
description: YB_jia_yang_tou_da_Carrier
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_TipRack_Mixed:
YB_peiyepingdaban:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_TipRack_Mixed
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_peiyepingdaban
type: pylabrobot
description: YB_TipRack_Mixed
description: YB_peiyepingdaban
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_TipRack_5000uL:
YB_peiyepingxiaoban:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_TipRack_5000uL
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_peiyepingxiaoban
type: pylabrobot
description: YB_TipRack_5000uL
description: YB_peiyepingxiaoban
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_TipRack_50uL:
YB_qiang_tou_he:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_TipRack_50uL
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_qiang_tou_he
type: pylabrobot
description: YB_TipRack_50uL
description: YB_qiang_tou_he
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_Adapter_60mL:
YB_shi_pei_qi_kuai:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_Adapter_60mL
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_shi_pei_qi_kuai
type: pylabrobot
description: YB_Adapter_60mL
description: YB_shi_pei_qi_kuai
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_NormalLiq_250mL_Carrier:
YB_ye:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_NormalLiq_250mL_Carrier
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_ye
type: pylabrobot
description: YB_NormalLiq_250mL_Carrier
description: YB_ye_Bottle_Carrier
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_NormalLiq_100mL_Carrier:
YB_ye_100ml_Bottle:
category:
- yb3
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_NormalLiq_100mL_Carrier
module: unilabos.resources.bioyond.YB_bottles:YB_ye_100ml_Bottle
type: pylabrobot
description: YB_NormalLiq_100mL_Carrier
description: YB_ye_100ml_Bottle
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_HighVis_250mL_Carrier:
category:
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_HighVis_250mL_Carrier
type: pylabrobot
description: YB_HighVis_250mL_Carrier
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0
YB_HighVis_100mL_Carrier:
category:
- YB_bottle_carriers
class:
module: unilabos.resources.bioyond.YB_bottle_carriers:YB_HighVis_100mL_Carrier
type: pylabrobot
description: YB_HighVis_100mL_Carrier
handles: []
icon: ''
init_param_schema: {}
registry_type: resource
version: 1.0.0

View File

@@ -20,22 +20,22 @@ BIOYOND_PolymerReactionStation_Deck:
icon: 反应站.webp
init_param_schema: {}
version: 1.0.0
BioyondElectrolyteDeck:
BIOYOND_YB_Deck:
category:
- deck
class:
module: unilabos.resources.bioyond.decks:bioyond_electrolyte_deck
module: unilabos.resources.bioyond.decks:YB_Deck
type: pylabrobot
description: BIOYOND ElectrolyteFormulationStation Deck
handles: []
icon: 配液站.webp
init_param_schema: {}
version: 1.0.0
YihuaCoinCellDeck:
CoincellDeck:
category:
- deck
class:
module: unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials:yihua_coin_cell_deck
module: unilabos.devices.workstation.coin_cell_assembly.YB_YH_materials:YH_Deck
type: pylabrobot
description: YIHUA CoinCellAssembly Deck
handles: []

View File

@@ -17,7 +17,7 @@ hplc_plate:
- 0
- 0
- 3.1416
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/hplc_plate/modal.xacro
type: resource
version: 1.0.0
plate_96:
@@ -39,7 +39,7 @@ plate_96:
- 0
- 0
- 0
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96/modal.xacro
type: resource
version: 1.0.0
plate_96_high:
@@ -61,7 +61,7 @@ plate_96_high:
- 1.5708
- 0
- 1.5708
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/plate_96_high/modal.xacro
type: resource
version: 1.0.0
tiprack_96_high:
@@ -76,7 +76,7 @@ tiprack_96_high:
init_param_schema: {}
model:
children_mesh: generic_labware_tube_10_75/meshes/0_base.stl
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_tf:
- 0.0018
- 0.0018
@@ -92,7 +92,7 @@ tiprack_96_high:
- 1.5708
- 0
- 1.5708
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_96_high/modal.xacro
type: resource
version: 1.0.0
tiprack_box:
@@ -107,7 +107,7 @@ tiprack_box:
init_param_schema: {}
model:
children_mesh: tip/meshes/tip.stl
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tip/modal.xacro
children_mesh_tf:
- 0.0045
- 0.0045
@@ -123,6 +123,6 @@ tiprack_box:
- 0
- 0
- 0
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tiprack_box/modal.xacro
type: resource
version: 1.0.0

View File

@@ -11,7 +11,7 @@ bottle_container:
init_param_schema: {}
model:
children_mesh: bottle/meshes/bottle.stl
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle/modal.xacro
children_mesh_tf:
- 0.04
- 0.04
@@ -27,7 +27,7 @@ bottle_container:
- 0
- 0
- 0
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/bottle_container/modal.xacro
type: resource
version: 1.0.0
tube_container:
@@ -43,7 +43,7 @@ tube_container:
init_param_schema: {}
model:
children_mesh: tube/meshes/tube.stl
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube/modal.xacro
children_mesh_tf:
- 0.017
- 0.017
@@ -59,6 +59,6 @@ tube_container:
- 0
- 0
- 0
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tube_container/modal.xacro
type: resource
version: 1.0.0

View File

@@ -10,6 +10,6 @@ TransformXYZDeck:
init_param_schema: {}
model:
mesh: liquid_transform_xyz
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/liquid_transform_xyz/macro_device.xacro
type: device
version: 1.0.0

View File

@@ -10,7 +10,7 @@ OTDeck:
init_param_schema: {}
model:
mesh: opentrons_liquid_handler
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/opentrons_liquid_handler/macro_device.xacro
type: device
version: 1.0.0
hplc_station:
@@ -25,6 +25,6 @@ hplc_station:
init_param_schema: {}
model:
mesh: hplc_station
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/devices/hplc_station/macro_device.xacro
type: device
version: 1.0.0

View File

@@ -109,7 +109,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
init_param_schema: {}
model:
children_mesh: generic_labware_tube_10_75/meshes/0_base.stl
children_mesh_path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/generic_labware_tube_10_75/modal.xacro
children_mesh_tf:
- 0.0018
- 0.0018
@@ -125,7 +125,7 @@ nest_96_wellplate_100ul_pcr_full_skirt:
- -1.5708
- 0
- 1.5708
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
type: resource
version: 1.0.0
nest_96_wellplate_200ul_flat:
@@ -158,7 +158,7 @@ nest_96_wellplate_2ml_deep:
- -1.5708
- 0
- 1.5708
path: https://leap-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
path: https://uni-lab.oss-cn-zhangjiakou.aliyuncs.com/uni-lab/resources/tecan_nested_tip_rack/modal.xacro
type: resource
version: 1.0.0
thermoscientificnunc_96_wellplate_1300ul:

View File

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

View File

@@ -17,7 +17,6 @@ from typing import Any, Dict, List, Optional, Tuple, Union
from msgcenterpy.instances.typed_dict_instance import TypedDictMessageInstance
from unilabos.utils.cls_creator import import_class
from unilabos.registry.decorators import Side, DataSource, normalize_enum_value
_logger = logging.getLogger(__name__)
@@ -488,7 +487,10 @@ def normalize_ast_handles(handles_raw: Any) -> List[Dict[str, Any]]:
}
side = h.get("side")
if side:
entry["side"] = normalize_enum_value(side, Side) or 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
@@ -497,7 +499,10 @@ def normalize_ast_handles(handles_raw: Any) -> List[Dict[str, Any]]:
entry["data_key"] = data_key
data_source = h.get("data_source")
if data_source:
entry["data_source"] = normalize_enum_value(data_source, DataSource) or 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
@@ -532,12 +537,17 @@ def normalize_ast_action_handles(handles_raw: Any) -> Dict[str, Any]:
"data_type": h.get("data_type", ""),
"label": h.get("label", ""),
}
_FIELD_ENUM_MAP = {"side": Side, "data_source": DataSource}
for opt_key in ("side", "data_key", "data_source", "description", "io_type"):
val = h.get(opt_key)
if val is not None:
if opt_key in _FIELD_ENUM_MAP:
val = normalize_enum_value(val, _FIELD_ENUM_MAP[opt_key]) or val
# 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)

View File

@@ -1,6 +1,9 @@
from pylabrobot.resources import create_homogeneous_resources, Coordinate, ResourceHolder, create_ordered_items_2d
from unilabos.resources.itemized_carrier import Bottle, BottleCarrier
from unilabos.resources.bioyond.YB_bottles import (
YB_pei_ye_xiao_Bottle,
)
# 命名约定:试剂瓶-Bottle烧杯-Beaker烧瓶-Flask小瓶-Vial
@@ -48,5 +51,6 @@ def YIHUA_Electrolyte_12VialCarrier(name: str) -> BottleCarrier:
carrier.num_items_x = 2
carrier.num_items_y = 6
carrier.num_items_z = 1
# 载架初始化为空,瓶子由实际转运操作填入,避免反序列化时重复 assign
for i in range(12):
carrier[i] = YB_pei_ye_xiao_Bottle(f"{name}_vial_{i+1}")
return carrier

View File

@@ -135,7 +135,6 @@ class BatteryState(TypedDict):
open_circuit_voltage: float
assembly_pressure: float
electrolyte_volume: float
pole_weight: float # 极片称重 (mg)
info: Optional[str] # 附加信息
@@ -180,7 +179,6 @@ class Battery(Container):
open_circuit_voltage=0.0,
assembly_pressure=0.0,
electrolyte_volume=0.0,
pole_weight=0.0,
info=None
)

View File

@@ -53,28 +53,13 @@ class Magazine(ResourceStack):
return self.get_size_z()
def serialize(self) -> dict:
data = super().serialize()
# 物料余量由寄存器接管,不再持久化极片子节点,
# 防止旧数据写回数据库后下次启动时再次引发重复 UUID。
data["children"] = []
data.update({
return {
**super().serialize(),
"size_x": self.size_x or 10.0,
"size_y": self.size_y or 10.0,
"size_z": self.size_z or 10.0,
"max_sheets": self.max_sheets,
})
return data
@classmethod
def deserialize(cls, data: dict, allow_marshal: bool = False):
"""反序列化时丢弃极片子节点ElectrodeSheet 等)。
物料余量已由寄存器接管,不再在资源树中追踪每个极片实体。
清空 children 可防止数据库中的旧极片记录被重新加载,避免重复 UUID 报错。
"""
data = dict(data)
data["children"] = []
return super().deserialize(data, allow_marshal=allow_marshal)
}
class MagazineHolder(ItemizedResource):
@@ -235,7 +220,7 @@ def MagazineHolder_6_Cathode(
size_y=size_y,
size_z=size_z,
locations=locations,
klasses=None,
klasses=[FlatWasher, PositiveCan, PositiveCan, FlatWasher, PositiveCan, PositiveCan],
hole_diameter=hole_diameter,
hole_depth=hole_depth,
max_sheets_per_hole=max_sheets_per_hole,
@@ -273,7 +258,7 @@ def MagazineHolder_6_Anode(
size_y=size_y,
size_z=size_z,
locations=locations,
klasses=None,
klasses=[SpringWasher, NegativeCan, NegativeCan, SpringWasher, NegativeCan, NegativeCan],
hole_diameter=hole_diameter,
hole_depth=hole_depth,
max_sheets_per_hole=max_sheets_per_hole,
@@ -350,7 +335,7 @@ def MagazineHolder_4_Cathode(
size_y=size_y,
size_z=size_z,
locations=locations,
klasses=None,
klasses=[AluminumFoil, PositiveElectrode, PositiveElectrode, PositiveElectrode],
hole_diameter=hole_diameter,
hole_depth=hole_depth,
max_sheets_per_hole=max_sheets_per_hole,

View File

@@ -2,18 +2,15 @@ from pylabrobot.resources import create_homogeneous_resources, Coordinate, Resou
from unilabos.resources.itemized_carrier import Bottle, BottleCarrier
from unilabos.resources.bioyond.YB_bottles import (
YB_DosingHead_L,
YB_NormalLiq_250mL_Bottle,
YB_NormalLiq_100mL_Bottle,
YB_HighVis_250mL_Bottle,
YB_HighVis_100mL_Bottle,
YB_Vial_5mL,
YB_Vial_20mL,
YB_PrepBottle_15mL,
YB_PrepBottle_60mL,
YB_Tip_5000uL,
YB_Tip_1000uL,
YB_Tip_50uL,
YB_jia_yang_tou_da,
YB_ye_Bottle,
YB_ye_100ml_Bottle,
YB_gao_nian_ye_Bottle,
YB_5ml_fenyeping,
YB_20ml_fenyeping,
YB_pei_ye_xiao_Bottle,
YB_pei_ye_da_Bottle,
YB_qiang_tou,
)
# 命名约定:试剂瓶-Bottle烧杯-Beaker烧瓶-Flask小瓶-Vial
@@ -209,7 +206,7 @@ def YB_6VialCarrier(name: str) -> BottleCarrier:
return carrier
# 1瓶载架 - 单个中央位置
def YB_NormalLiq_250mL_Carrier(name: str) -> BottleCarrier:
def YB_ye(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
@@ -236,17 +233,17 @@ def YB_NormalLiq_250mL_Carrier(name: str) -> BottleCarrier:
resource_size_y=beaker_diameter,
name_prefix=name,
),
model="YB_NormalLiq_250mL_Carrier",
model="YB_ye",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
carrier.num_items_z = 1
carrier[0] = YB_NormalLiq_250mL_Bottle(f"{name}_flask_1")
carrier[0] = YB_ye_Bottle(f"{name}_flask_1")
return carrier
# 高粘液瓶载架 - 单个中央位置
def YB_HighVis_250mL_Carrier(name: str) -> BottleCarrier:
def YB_gaonianye(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
@@ -273,17 +270,17 @@ def YB_HighVis_250mL_Carrier(name: str) -> BottleCarrier:
resource_size_y=beaker_diameter,
name_prefix=name,
),
model="YB_HighVis_250mL_Carrier",
model="YB_gaonianye",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
carrier.num_items_z = 1
carrier[0] = YB_HighVis_250mL_Bottle(f"{name}_flask_1")
carrier[0] = YB_gao_nian_ye_Bottle(f"{name}_flask_1")
return carrier
# 100mL普通液瓶载架 - 单个中央位置
def YB_NormalLiq_100mL_Carrier(name: str) -> BottleCarrier:
# 100ml液体瓶载架 - 单个中央位置
def YB_100ml_yeti(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
@@ -310,52 +307,16 @@ def YB_NormalLiq_100mL_Carrier(name: str) -> BottleCarrier:
resource_size_y=beaker_diameter,
name_prefix=name,
),
model="YB_NormalLiq_100mL_Carrier",
model="YB_100ml_yeti",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
carrier.num_items_z = 1
carrier[0] = YB_NormalLiq_100mL_Bottle(f"{name}_flask_1")
carrier[0] = YB_ye_100ml_Bottle(f"{name}_flask_1")
return carrier
# 100mL高粘液瓶载架 - 单个中央位置
def YB_HighVis_100mL_Carrier(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
carrier_size_y = 85.5
carrier_size_z = 20.0
# 烧杯尺寸
beaker_diameter = 60.0
# 计算中央位置
center_x = (carrier_size_x - beaker_diameter) / 2
center_y = (carrier_size_y - beaker_diameter) / 2
center_z = 5.0
carrier = BottleCarrier(
name=name,
size_x=carrier_size_x,
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=create_homogeneous_resources(
klass=ResourceHolder,
locations=[Coordinate(center_x, center_y, center_z)],
resource_size_x=beaker_diameter,
resource_size_y=beaker_diameter,
name_prefix=name,
),
model="YB_HighVis_100mL_Carrier",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
carrier.num_items_z = 1
carrier[0] = YB_HighVis_100mL_Bottle(f"{name}_flask_1")
return carrier
# 5mL分液瓶板 - 4x2布局8个位置
def YB_Vial_5mL_Carrier(name: str) -> BottleCarrier:
# 5ml分液瓶板 - 4x2布局8个位置
def YB_5ml_fenyepingban(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
@@ -394,18 +355,18 @@ def YB_Vial_5mL_Carrier(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_Vial_5mL_Carrier",
model="YB_5ml_fenyepingban",
)
carrier.num_items_x = 4
carrier.num_items_y = 2
carrier.num_items_z = 1
ordering = ["A1", "A2", "A3", "A4", "B1", "B2", "B3", "B4"]
for i in range(8):
carrier[i] = YB_Vial_5mL(f"{name}_vial_{ordering[i]}")
carrier[i] = YB_5ml_fenyeping(f"{name}_vial_{ordering[i]}")
return carrier
# 20mL分液瓶板 - 4x2布局8个位置
def YB_Vial_20mL_Carrier(name: str) -> BottleCarrier:
# 20ml分液瓶板 - 4x2布局8个位置
def YB_20ml_fenyepingban(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
@@ -444,18 +405,18 @@ def YB_Vial_20mL_Carrier(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_Vial_20mL_Carrier",
model="YB_20ml_fenyepingban",
)
carrier.num_items_x = 4
carrier.num_items_y = 2
carrier.num_items_z = 1
ordering = ["A1", "A2", "A3", "A4", "B1", "B2", "B3", "B4"]
for i in range(8):
carrier[i] = YB_Vial_20mL(f"{name}_vial_{ordering[i]}")
carrier[i] = YB_20ml_fenyeping(f"{name}_vial_{ordering[i]}")
return carrier
# 配液瓶(小)板 - 4x2布局8个位置
def YB_PrepBottle_15mL_Carrier(name: str) -> BottleCarrier:
def YB_peiyepingxiaoban(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
@@ -494,19 +455,19 @@ def YB_PrepBottle_15mL_Carrier(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_PrepBottle_15mL_Carrier",
model="YB_peiyepingxiaoban",
)
carrier.num_items_x = 4
carrier.num_items_y = 2
carrier.num_items_z = 1
ordering = ["A1", "A2", "A3", "A4", "B1", "B2", "B3", "B4"]
for i in range(8):
carrier[i] = YB_PrepBottle_15mL(f"{name}_bottle_{ordering[i]}")
carrier[i] = YB_pei_ye_xiao_Bottle(f"{name}_bottle_{ordering[i]}")
return carrier
# 配液瓶(大)板 - 2x2布局4个位置
def YB_PrepBottle_60mL_Carrier(name: str) -> BottleCarrier:
def YB_peiyepingdaban(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
@@ -544,18 +505,18 @@ def YB_PrepBottle_60mL_Carrier(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_PrepBottle_60mL_Carrier",
model="YB_peiyepingdaban",
)
carrier.num_items_x = 2
carrier.num_items_y = 2
carrier.num_items_z = 1
ordering = ["A1", "A2", "B1", "B2"]
for i in range(4):
carrier[i] = YB_PrepBottle_60mL(f"{name}_bottle_{ordering[i]}")
carrier[i] = YB_pei_ye_da_Bottle(f"{name}_bottle_{ordering[i]}")
return carrier
# 加样头(大)板 - 1x1布局1个位置
def YB_DosingHead_L_Carrier(name: str) -> BottleCarrier:
def YB_jia_yang_tou_da_Carrier(name: str) -> BottleCarrier:
# 载架尺寸 (mm)
carrier_size_x = 127.8
@@ -593,16 +554,16 @@ def YB_DosingHead_L_Carrier(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_DosingHead_L_Carrier",
model="YB_jia_yang_tou_da_Carrier",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
carrier.num_items_z = 1
carrier[0] = YB_DosingHead_L(f"{name}_head_1")
carrier[0] = YB_jia_yang_tou_da(f"{name}_head_1")
return carrier
def YB_Adapter_60mL(name: str) -> BottleCarrier:
def YB_shi_pei_qi_kuai(name: str) -> BottleCarrier:
"""适配器块 - 单个中央位置"""
# 载架尺寸 (mm)
@@ -630,7 +591,7 @@ def YB_Adapter_60mL(name: str) -> BottleCarrier:
resource_size_y=adapter_diameter,
name_prefix=name,
),
model="YB_Adapter_60mL",
model="YB_shi_pei_qi_kuai",
)
carrier.num_items_x = 1
carrier.num_items_y = 1
@@ -639,7 +600,7 @@ def YB_Adapter_60mL(name: str) -> BottleCarrier:
return carrier
def YB_TipRack_50uL(name: str) -> BottleCarrier:
def YB_qiang_tou_he(name: str) -> BottleCarrier:
"""枪头盒 - 8x12布局96个位置"""
# 载架尺寸 (mm)
@@ -648,9 +609,9 @@ def YB_TipRack_50uL(name: str) -> BottleCarrier:
carrier_size_z = 55.0
# 枪头尺寸
tip_diameter = 7.0
tip_spacing_x = 7.5 # X方向间距
tip_spacing_y = 7.5 # Y方向间距
tip_diameter = 10.0
tip_spacing_x = 9.0 # X方向间距
tip_spacing_y = 9.0 # Y方向间距
# 计算起始位置 (居中排列)
start_x = (carrier_size_x - (12 - 1) * tip_spacing_x - tip_diameter) / 2
@@ -678,7 +639,7 @@ def YB_TipRack_50uL(name: str) -> BottleCarrier:
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_TipRack_50uL",
model="YB_qiang_tou_he",
)
carrier.num_items_x = 12
carrier.num_items_y = 8
@@ -687,182 +648,6 @@ def YB_TipRack_50uL(name: str) -> BottleCarrier:
for i in range(96):
row = chr(65 + i // 12) # A-H
col = (i % 12) + 1 # 1-12
carrier[i] = YB_Tip_50uL(f"{name}_tip_{row}{col}")
return carrier
def YB_TipRack_5000uL(name: str) -> BottleCarrier:
"""枪头盒 - 4x6布局24个位置"""
# 载架尺寸 (mm)
carrier_size_x = 127.8
carrier_size_y = 85.5
carrier_size_z = 95.0
# 枪头尺寸
tip_diameter = 16.0
tip_spacing_x = 16.5 # X方向间距
tip_spacing_y = 16.5 # Y方向间距
# 计算起始位置 (居中排列)
start_x = (carrier_size_x - (6 - 1) * tip_spacing_x - tip_diameter) / 2
start_y = (carrier_size_y - (4 - 1) * tip_spacing_y - tip_diameter) / 2
sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=6,
num_items_y=4,
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=carrier_size_z,
)
for k, v in sites.items():
v.name = f"{name}_{v.name}"
carrier = BottleCarrier(
name=name,
size_x=carrier_size_x,
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_TipRack_5000uL",
)
carrier.num_items_x = 6
carrier.num_items_y = 4
carrier.num_items_z = 1
# 创建24个枪头
for i in range(24):
row = chr(65 + i // 6) # A-D
col = (i % 6) + 1 # 1-6
carrier[i] = YB_Tip_5000uL(f"{name}_tip_{row}{col}")
return carrier
def YB_TipRack_Mixed(name: str) -> BottleCarrier:
"""混合枪头盒 - 复杂布局
上层: 2x8空位原50uL枪头位置现空余
中层: 4x4布局放5000uL枪头
下层: 2x8布局放1000uL枪头
"""
# 载架尺寸 (mm)
carrier_size_x = 127.8
carrier_size_y = 85.5
carrier_size_z = 95.0
# 各类枪头的尺寸参数
tip_5000_diameter = 16.0
tip_5000_spacing_x = 16.5
tip_5000_spacing_y = 16.5
tip_1000_diameter = 7.0
tip_1000_spacing_x = 7.5
tip_1000_spacing_y = 7.5
# 空位尺寸上层2x8原50uL位置
empty_diameter = 7.0
empty_spacing_x = 7.5
empty_spacing_y = 7.5
# 计算各层的起始位置
# 上层空位 (2x8)
empty_top_start_x = (carrier_size_x - (8 - 1) * empty_spacing_x - empty_diameter) / 2
empty_top_start_y = 5.0
# 中层5000uL (4x4)
tip_5000_start_x = (carrier_size_x - (4 - 1) * tip_5000_spacing_x - tip_5000_diameter) / 2
tip_5000_start_y = empty_top_start_y + 2 * empty_spacing_y + 5.0
# 下层1000uL (2x8)
tip_1000_start_x = (carrier_size_x - (8 - 1) * tip_1000_spacing_x - tip_1000_diameter) / 2
tip_1000_start_y = tip_5000_start_y + 4 * tip_5000_spacing_y + 5.0
sites = {}
# 创建上层空位 (2x8) - 不创建实际的枪头对象
empty_top_sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=8,
num_items_y=2,
dx=empty_top_start_x,
dy=empty_top_start_y,
dz=5.0,
item_dx=empty_spacing_x,
item_dy=empty_spacing_y,
size_x=empty_diameter,
size_y=empty_diameter,
size_z=carrier_size_z,
)
# 添加空位,索引 0-15
for k, v in empty_top_sites.items():
v.name = f"{name}_empty_top_{v.name}"
sites[k] = v
# 创建中层5000uL枪头位 (4x4),索引 16-31
tip_5000_sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=4,
num_items_y=4,
dx=tip_5000_start_x,
dy=tip_5000_start_y,
dz=15.0,
item_dx=tip_5000_spacing_x,
item_dy=tip_5000_spacing_y,
size_x=tip_5000_diameter,
size_y=tip_5000_diameter,
size_z=carrier_size_z,
)
for i, (k, v) in enumerate(tip_5000_sites.items()):
v.name = f"{name}_5000_{v.name}"
sites[16 + i] = v
# 创建下层1000uL枪头位 (2x8),索引 32-47
tip_1000_sites = create_ordered_items_2d(
klass=ResourceHolder,
num_items_x=8,
num_items_y=2,
dx=tip_1000_start_x,
dy=tip_1000_start_y,
dz=25.0,
item_dx=tip_1000_spacing_x,
item_dy=tip_1000_spacing_y,
size_x=tip_1000_diameter,
size_y=tip_1000_diameter,
size_z=carrier_size_z,
)
for i, (k, v) in enumerate(tip_1000_sites.items()):
v.name = f"{name}_1000_{v.name}"
sites[32 + i] = v
carrier = BottleCarrier(
name=name,
size_x=carrier_size_x,
size_y=carrier_size_y,
size_z=carrier_size_z,
sites=sites,
model="YB_TipRack_Mixed",
)
carrier.num_items_x = 8 # 最大宽度
carrier.num_items_y = 8 # 总行数 (2+4+2)
carrier.num_items_z = 1
# 为5000uL枪头创建实例 (16个),对应索引 16-31
for i in range(16):
row = chr(65 + i // 4) # A-D
col = (i % 4) + 1 # 1-4
carrier[16 + i] = YB_Tip_5000uL(f"{name}_tip5000_{row}{col}")
# 为1000uL枪头创建实例 (16个),对应索引 32-47
for i in range(16):
row = chr(65 + i // 8) # A-B
col = (i % 8) + 1 # 1-8
carrier[32 + i] = YB_Tip_1000uL(f"{name}_tip1000_{row}{col}")
carrier[i] = YB_qiang_tou(f"{name}_tip_{row}{col}")
return carrier

View File

@@ -1,7 +1,7 @@
from unilabos.resources.itemized_carrier import Bottle, BottleCarrier
# 工厂函数
"""加样头(大)"""
def YB_DosingHead_L(
def YB_jia_yang_tou_da(
name: str,
diameter: float = 20.0,
height: float = 100.0,
@@ -15,11 +15,11 @@ def YB_DosingHead_L(
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_DosingHead_L",
model="YB_jia_yang_tou_da",
)
"""250mL普通"""
def YB_NormalLiq_250mL_Bottle(
"""1x1"""
def YB_ye_Bottle(
name: str,
diameter: float = 40.0,
height: float = 70.0,
@@ -33,105 +33,87 @@ def YB_NormalLiq_250mL_Bottle(
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_NormalLiq_250mL_Bottle",
model="YB_ye_Bottle",
)
"""100mL普通液"""
def YB_NormalLiq_100mL_Bottle(
"""100ml液体"""
def YB_ye_100ml_Bottle(
name: str,
diameter: float = 50.0,
height: float = 90.0,
max_volume: float = 100000.0, # 100mL
barcode: str = None,
) -> Bottle:
"""创建100mL普通液"""
"""创建100ml液体"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_NormalLiq_100mL_Bottle",
model="YB_100ml_yeti",
)
"""100mL高粘液"""
def YB_HighVis_100mL_Bottle(
name: str,
diameter: float = 50.0,
height: float = 90.0,
max_volume: float = 100000.0, # 100mL
barcode: str = None,
) -> Bottle:
"""创建100mL高粘液瓶"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_HighVis_100mL_Bottle",
)
"""250mL高粘液"""
def YB_HighVis_250mL_Bottle(
"""高粘液"""
def YB_gao_nian_ye_Bottle(
name: str,
diameter: float = 40.0,
height: float = 70.0,
max_volume: float = 50000.0, # 50mL
barcode: str = None,
) -> Bottle:
"""创建250mL高粘液瓶"""
"""创建高粘液瓶"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_HighVis_250mL_Bottle",
model="High_Viscosity_Liquid",
)
"""5mL分液瓶"""
def YB_Vial_5mL(
"""5ml分液瓶"""
def YB_5ml_fenyeping(
name: str,
diameter: float = 20.0,
height: float = 50.0,
max_volume: float = 5000.0, # 5mL
barcode: str = None,
) -> Bottle:
"""创建5mL分液瓶"""
"""创建5ml分液瓶"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_Vial_5mL",
model="YB_5ml_fenyeping",
)
"""20mL分液瓶"""
def YB_Vial_20mL(
"""20ml分液瓶"""
def YB_20ml_fenyeping(
name: str,
diameter: float = 30.0,
height: float = 65.0,
max_volume: float = 20000.0, # 20mL
barcode: str = None,
) -> Bottle:
"""创建20mL分液瓶"""
"""创建20ml分液瓶"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_Vial_20mL",
model="YB_20ml_fenyeping",
)
"""配液瓶(小)"""
def YB_PrepBottle_15mL(
def YB_pei_ye_xiao_Bottle(
name: str,
diameter: float = 35.0,
height: float = 60.0,
max_volume: float = 15000.0, # 15mL
max_volume: float = 30000.0, # 30mL
barcode: str = None,
) -> Bottle:
"""创建配液瓶(小)"""
@@ -141,15 +123,15 @@ def YB_PrepBottle_15mL(
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_PrepBottle_15mL",
model="YB_pei_ye_xiao_Bottle",
)
"""配液瓶(大)"""
def YB_PrepBottle_60mL(
def YB_pei_ye_da_Bottle(
name: str,
diameter: float = 55.0,
height: float = 100.0,
max_volume: float = 60000.0, # 60mL
max_volume: float = 150000.0, # 150mL
barcode: str = None,
) -> Bottle:
"""创建配液瓶(大)"""
@@ -159,29 +141,11 @@ def YB_PrepBottle_60mL(
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_PrepBottle_60mL",
model="YB_pei_ye_da_Bottle",
)
"""5000uL枪头"""
def YB_Tip_5000uL(
name: str,
diameter: float = 10.0,
height: float = 50.0,
max_volume: float = 5000.0, # 5mL
barcode: str = None,
) -> Bottle:
"""创建枪头"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_Tip_5000uL",
)
"""1000uL枪头"""
def YB_Tip_1000uL(
"""枪头"""
def YB_qiang_tou(
name: str,
diameter: float = 10.0,
height: float = 50.0,
@@ -195,23 +159,5 @@ def YB_Tip_1000uL(
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_Tip_1000uL",
model="YB_qiang_tou",
)
"""50uL枪头"""
def YB_Tip_50uL(
name: str,
diameter: float = 10.0,
height: float = 50.0,
max_volume: float = 50.0, # 50uL
barcode: str = None,
) -> Bottle:
"""创建枪头"""
return Bottle(
name=name,
diameter=diameter,
height=height,
max_volume=max_volume,
barcode=barcode,
model="YB_Tip_50uL",
)

View File

@@ -1,3 +1,4 @@
from os import name
from pylabrobot.resources import Deck, Coordinate, Rotation
from unilabos.resources.bioyond.YB_warehouses import (
@@ -33,8 +34,11 @@ class BIOYOND_PolymerReactionStation_Deck(Deck):
size_y: float = 1080.0,
size_z: float = 1500.0,
category: str = "deck",
setup: bool = False
) -> None:
super().__init__(name=name, size_x=2700.0, size_y=1080.0, size_z=1500.0)
if setup:
self.setup()
def setup(self) -> None:
# 添加仓库
@@ -62,7 +66,6 @@ class BIOYOND_PolymerReactionStation_Deck(Deck):
for warehouse_name, warehouse in self.warehouses.items():
self.assign_child_resource(warehouse, location=self.warehouse_locations[warehouse_name])
class BIOYOND_PolymerPreparationStation_Deck(Deck):
def __init__(
self,
@@ -71,8 +74,11 @@ class BIOYOND_PolymerPreparationStation_Deck(Deck):
size_y: float = 1080.0,
size_z: float = 1500.0,
category: str = "deck",
setup: bool = False
) -> None:
super().__init__(name=name, size_x=2700.0, size_y=1080.0, size_z=1500.0)
if setup:
self.setup()
def setup(self) -> None:
# 添加仓库 - 配液站的3个堆栈使用Bioyond系统中的实际名称
@@ -95,8 +101,7 @@ class BIOYOND_PolymerPreparationStation_Deck(Deck):
for warehouse_name, warehouse in self.warehouses.items():
self.assign_child_resource(warehouse, location=self.warehouse_locations[warehouse_name])
class BioyondElectrolyteDeck(Deck):
class BIOYOND_YB_Deck(Deck):
def __init__(
self,
name: str = "YB_Deck",
@@ -104,7 +109,7 @@ class BioyondElectrolyteDeck(Deck):
size_y: float = 1400.0,
size_z: float = 2670.0,
category: str = "deck",
setup: bool = False,
setup: bool = False
) -> None:
super().__init__(name=name, size_x=4150.0, size_y=1400.0, size_z=2670.0)
if setup:
@@ -113,8 +118,8 @@ class BioyondElectrolyteDeck(Deck):
def setup(self) -> None:
# 添加仓库
self.warehouses = {
"自动堆栈-左": bioyond_warehouse_2x2x1("自动堆栈-左"), # 2行×2列
"自动堆栈-右": bioyond_warehouse_2x2x1("自动堆栈-右"), # 2行×2列
"321窗口": bioyond_warehouse_2x2x1("321窗口"), # 2行×2列
"43窗口": bioyond_warehouse_2x2x1("43窗口"), # 2行×2列
"手动传递窗右": bioyond_warehouse_5x3x1("手动传递窗右", row_offset=0), # A01-E03
"手动传递窗左": bioyond_warehouse_5x3x1("手动传递窗左", row_offset=5), # F01-J03
"加样头堆栈左": bioyond_warehouse_10x1x1("加样头堆栈左"),
@@ -128,34 +133,29 @@ class BioyondElectrolyteDeck(Deck):
}
# warehouse 的位置
self.warehouse_locations = {
"自动堆栈-左": Coordinate(-150.0, 1142.0, 0.0),
"自动堆栈-右": Coordinate(4160.0, 1142.0, 0.0),
"手动传递窗左": Coordinate(-150.0, 423.0, 0.0),
"手动传递窗右": Coordinate(4160.0, 423.0, 0.0),
"加样头堆栈左": Coordinate(385.0, 0, 0.0),
"加样头堆栈右": Coordinate(2187.0, 0, 0.0),
"321窗口": Coordinate(-150.0, 158.0, 0.0),
"43窗口": Coordinate(4160.0, 158.0, 0.0),
"手动传递窗左": Coordinate(-150.0, 877.0, 0.0),
"手动传递窗右": Coordinate(4160.0, 877.0, 0.0),
"加样头堆栈左": Coordinate(385.0, 1300.0, 0.0),
"加样头堆栈右": Coordinate(2187.0, 1300.0, 0.0),
"15ml配液堆栈左": Coordinate(749.0, 945.0, 0.0),
"母液加样右": Coordinate(2152.0, 967.0, 0.0),
"大瓶母液堆栈左": Coordinate(1164.0, 624.0, 0.0),
"大瓶母液堆栈右": Coordinate(2717.0, 624.0, 0.0),
"2号手套箱内部堆栈": Coordinate(-800, 800.0, 0.0), # 新增:位置需根据实际硬件调整
"15ml配液堆栈左": Coordinate(749.0, 355.0, 0.0),
"母液加样右": Coordinate(2152.0, 333.0, 0.0),
"大瓶母液堆栈左": Coordinate(1164.0, 676.0, 0.0),
"大瓶母液堆栈右": Coordinate(2717.0, 676.0, 0.0),
"2号手套箱内部堆栈": Coordinate(-800, -500.0, 0.0), # 新增:位置需根据实际硬件调整
}
for warehouse_name, warehouse in self.warehouses.items():
self.assign_child_resource(warehouse, location=self.warehouse_locations[warehouse_name])
# 向后兼容别名,日后废弃
BIOYOND_YB_Deck = BioyondElectrolyteDeck
def YB_Deck(name: str) -> Deck:
by=BIOYOND_YB_Deck(name=name)
by.setup()
return by
def bioyond_electrolyte_deck(name: str) -> BioyondElectrolyteDeck:
deck = BioyondElectrolyteDeck(name=name)
deck.setup()
return deck
# 向后兼容别名,日后废弃
def YB_Deck(name: str) -> BioyondElectrolyteDeck:
return bioyond_electrolyte_deck(name)

View File

@@ -797,10 +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
)
if hasattr(bottle, 'tracker') and bottle.tracker is not None:
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:
@@ -809,10 +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
if hasattr(bottle, 'tracker') and bottle.tracker is not None:
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)
@@ -1035,7 +1033,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
logger.debug(f"🔍 [PLR→Bioyond] detail转换: {bottle.name} → PLR(x={site['x']},y={site['y']},id={site.get('identifier','?')}) → Bioyond(x={bioyond_x},y={bioyond_y})")
# 🔥 提取物料名称:从 tracker.liquids 中获取第一个液体的名称去除PLR系统添加的后缀
# tracker.liquids 格式: [(物料名称, 数量, 单位), ...]
# tracker.liquids 格式: [(物料名称, 数量), ...]
material_name = bottle_type_info[0] # 默认使用类型名称(如"样品瓶"
if hasattr(bottle, "tracker") and bottle.tracker.liquids:
# 如果有液体,使用液体的名称
@@ -1053,7 +1051,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"typeId": bottle_type_info[1],
"code": bottle.code if hasattr(bottle, "code") else "",
"name": material_name, # 使用物料名称(如"9090"),而不是类型名称("样品瓶"
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"x": bioyond_x,
"y": bioyond_y,
"z": 1,
@@ -1126,7 +1124,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"barCode": "",
"name": material_name, # 使用物料名称而不是资源名称
"unit": default_unit, # 使用配置的单位或默认单位
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"Parameters": parameters_json # API 实际要求的字段(必需)
}

View File

@@ -179,35 +179,6 @@ class ItemizedCarrier(ResourcePLR):
idx = i
break
if idx is None and location is not None:
# 精确坐标匹配失败常见原因DB 存储的 z=0而槽位定义 z=dz>0
# 降级为仅按 XY 坐标进行近似匹配,找到后使用槽位自身的正确坐标写回,
# 避免因 Z 偏移导致反序列化中断。
_XY_TOLERANCE = 2.0 # mm覆盖浮点误差和 z 偏移
min_dist = float("inf")
nearest_idx = None
for _i, _loc in enumerate(self.child_locations.values()):
_d = (((_loc.x - location.x) ** 2) + ((_loc.y - location.y) ** 2)) ** 0.5
if _d < min_dist:
min_dist = _d
nearest_idx = _i
if nearest_idx is not None and min_dist <= _XY_TOLERANCE:
from unilabos.utils.log import logger as _logger
_slot_label = list(self.child_locations.keys())[nearest_idx]
_logger.warning(
f"[ItemizedCarrier '{self.name}'] 资源 '{resource.name}' 坐标 {location} 与槽位 "
f"'{_slot_label}' {list(self.child_locations.values())[nearest_idx]} 的 XY 吻合"
f"XY 偏差={min_dist:.2f}mm按 XY 近似匹配成功z 偏移已被修正。"
)
idx = nearest_idx
if idx is None:
raise ValueError(
f"[ItemizedCarrier '{self.name}'] 无法为资源 '{resource.name}' 找到匹配的槽位。\n"
f" 已知槽位: {list(self.child_locations.keys())}\n"
f" 传入坐标: {location}\n"
f" 提示: XY 近似匹配也失败,请检查资源坐标或 Carrier 槽位定义是否正确。"
)
if not reassign and self.sites[idx] is not None:
raise ValueError(f"a site with index {idx} already exists")
location = list(self.child_locations.values())[idx]

View File

@@ -612,31 +612,6 @@ class ResourceTreeSet(object):
d["model"] = res.config.get("model", None)
return d
def _deduplicate_plr_dict(d: dict, _seen: set = None) -> dict:
"""递归去除 children 中同名重复节点(全树范围、保留首次出现)。
根本原因:同一槽位被 sync_from_externalBioyond 同步)重复写入,
导致数据库中同一 WareHouse 下存在多条同名 BottleCarrier 记录(不同 UUID
PLR 的 _check_naming_conflicts 在全树范围检查名称唯一性,
重复名称会在 deserialize 时抛出 ValueError导致节点启动失败。
此函数在 sub_cls.deserialize 前预先清理,保证名称唯一。
"""
if _seen is None:
_seen = set()
children = d.get("children", [])
deduped = []
for child in children:
child = _deduplicate_plr_dict(child, _seen)
cname = child.get("name")
if cname not in _seen:
_seen.add(cname)
deduped.append(child)
else:
logger.warning(
f"[资源树去重] 发现重复资源名称 '{cname}',跳过重复项(历史脏数据)"
)
return {**d, "children": deduped}
plr_resources = []
tracker = DeviceNodeResourceTracker()
@@ -647,8 +622,6 @@ class ResourceTreeSet(object):
collect_node_data(tree.root_node, name_to_uuid, all_states, name_to_extra)
has_model = tree.root_node.res_content.type != "deck"
plr_dict = node_to_plr_dict(tree.root_node, has_model)
plr_dict = _deduplicate_plr_dict(plr_dict)
try:
sub_cls = find_subclass(plr_dict["type"], PLRResource)
if skip_devices and plr_dict["type"] == "device":
@@ -667,14 +640,6 @@ class ResourceTreeSet(object):
location = cast(Coordinate, deserialize(plr_dict["location"]))
plr_resource.location = location
# 预填 Container 类型资源在新版 PLR 中要求必须存在的键,
# 防止旧数据库状态缺失这些键时 load_all_state 抛出 KeyError。
for state in all_states.values():
if isinstance(state, dict):
state.setdefault("liquid_history", [])
state.setdefault("pending_liquids", {})
plr_resource.load_all_state(all_states)
# 使用 DeviceNodeResourceTracker 设置 UUID 和 Extra
tracker.loop_set_uuid(plr_resource, name_to_uuid)

View File

@@ -41,9 +41,8 @@ def warehouse_factory(
# 根据 layout 决定 y 坐标计算
if layout == "row-major":
# 行优先row=0(A行) 应该显示在上方
# 前端现在 y 越大越靠上,所以 row=0 对应最大的 y
y = dy + (num_items_y - row - 1) * item_dy
# 行优先row=0(A行) 应该显示在上方,需要较小的 y 值
y = dy + row * item_dy
elif layout == "vertical-col-major":
# 竖向warehouse: row=0 对应顶部y小row=n-1 对应底部y大
# 但标签 01 应该在底部,所以使用反向映射

View File

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

View File

@@ -4,8 +4,6 @@ import json
import threading
import time
import traceback
from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
from typing import (
get_type_hints,
TypeVar,
@@ -80,67 +78,6 @@ if TYPE_CHECKING:
T = TypeVar("T")
class RclpyAsyncMutex:
"""rclpy executor 兼容的异步互斥锁
通过 executor.create_task 唤醒等待者,避免 timer 的 InvalidHandle 问题。
"""
def __init__(self, name: str = ""):
self._lock = threading.Lock()
self._acquired = False
self._queue: List[Future] = []
self._name = name
self._holder: Optional[str] = None
async def acquire(self, node: "BaseROS2DeviceNode", tag: str = ""):
"""获取锁。如果已被占用,则异步等待直到锁释放。"""
# t0 = time.time()
with self._lock:
# qlen = len(self._queue)
if not self._acquired:
self._acquired = True
self._holder = tag
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 获取锁 tag={tag} (无等待, queue=0)"
# )
return
waiter = Future()
self._queue.append(waiter)
# node.lab_logger().info(
# f"[Mutex:{self._name}] 等待锁 tag={tag} "
# f"(holder={self._holder}, queue={qlen + 1})"
# )
await waiter
# wait_ms = (time.time() - t0) * 1000
self._holder = tag
# node.lab_logger().info(
# f"[Mutex:{self._name}] 获取锁 tag={tag} (等了 {wait_ms:.0f}ms)"
# )
def release(self, node: "BaseROS2DeviceNode"):
"""释放锁,通过 executor task 唤醒下一个等待者。"""
with self._lock:
# old_holder = self._holder
if self._queue:
next_waiter = self._queue.pop(0)
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 唤醒下一个 (剩余 queue={len(self._queue)})"
# )
async def _wake():
if not next_waiter.done():
next_waiter.set_result(None)
rclpy.get_global_executor().create_task(_wake())
else:
self._acquired = False
self._holder = None
# node.lab_logger().debug(
# f"[Mutex:{self._name}] 释放锁 holder={old_holder} → 空闲"
# )
# 在线设备注册表
registered_devices: Dict[str, "DeviceInfoType"] = {}
@@ -418,8 +355,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
max_workers=max(len(action_value_mappings), 1), thread_name_prefix=f"ROSDevice{self.device_id}"
)
self._append_resource_lock = RclpyAsyncMutex(name=f"AR:{device_id}")
# 创建资源管理客户端
self._resource_clients: Dict[str, Client] = {
"resource_add": self.create_client(ResourceAdd, "/resources/add", callback_group=self.callback_group),
@@ -443,40 +378,15 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return res
async def append_resource(req: SerialCommand_Request, res: SerialCommand_Response):
_cmd = _fast_loads(req.command)
_res_name = _cmd.get("resource", [{}])
_res_name = (_res_name[0].get("id", "?") if isinstance(_res_name, list) and _res_name
else _res_name.get("id", "?") if isinstance(_res_name, dict) else "?")
_ar_tag = f"{_res_name}"
# _t_enter = time.time()
# self.lab_logger().info(f"[AR:{_ar_tag}] 进入 append_resource")
await self._append_resource_lock.acquire(self, tag=_ar_tag)
# _t_locked = time.time()
try:
return await _append_resource_inner(req, res, _ar_tag)
# _t_done = time.time()
# self.lab_logger().info(
# f"[AR:{_ar_tag}] 完成 "
# f"等锁={(_t_locked - _t_enter) * 1000:.0f}ms "
# f"执行={(_t_done - _t_locked) * 1000:.0f}ms "
# f"总计={(_t_done - _t_enter) * 1000:.0f}ms"
# )
except Exception as _ex:
self.lab_logger().error(f"[AR:{_ar_tag}] 异常: {_ex}")
raise
finally:
self._append_resource_lock.release(self)
async def _append_resource_inner(req: SerialCommand_Request, res: SerialCommand_Response, _ar_tag: str = ""):
from pylabrobot.resources.deck import Deck
from pylabrobot.resources import Coordinate
from pylabrobot.resources import Plate
# _t0 = time.time()
# 物料传输到对应的node节点
client = self._resource_clients["c2s_update_resource_tree"]
request = SerialCommand.Request()
request2 = SerialCommand.Request()
command_json = _fast_loads(req.command)
command_json = json.loads(req.command)
namespace = command_json["namespace"]
bind_parent_id = command_json["bind_parent_id"]
edge_device_id = command_json["edge_device_id"]
@@ -529,11 +439,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"更新物料{container_instance.name}出现不支持的数据类型{type(found_resource)} {found_resource}"
)
# noinspection PyUnresolvedReferences
# _t1 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 准备完成 PLR转换+序列化 {((_t1 - _t0) * 1000):.0f}ms, 发送首次上传..."
# )
request.command = _fast_dumps_str(
request.command = json.dumps(
{
"action": "add",
"data": {
@@ -544,11 +450,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
}
)
tree_response: SerialCommand.Response = await client.call_async(request)
# _t2 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 首次上传完成 {((_t2 - _t1) * 1000):.0f}ms"
# )
uuid_maps = _fast_loads(tree_response.response)
uuid_maps = json.loads(tree_response.response)
plr_instances = rts.to_plr_resources()
for plr_instance in plr_instances:
self.resource_tracker.loop_update_uuid(plr_instance, uuid_maps)
@@ -584,12 +486,18 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if len(rts.root_nodes) == 1 and parent_resource is not None:
plr_instance = plr_instances[0]
if isinstance(plr_instance, Plate):
empty_liquid_info_in: List[Tuple[Optional[str], float]] = [(None, 0)] * plr_instance.num_items
if len(ADD_LIQUID_TYPE) == 1 and len(LIQUID_VOLUME) == 1 and len(LIQUID_INPUT_SLOT) > 1:
ADD_LIQUID_TYPE = ADD_LIQUID_TYPE * len(LIQUID_INPUT_SLOT)
LIQUID_VOLUME = LIQUID_VOLUME * len(LIQUID_INPUT_SLOT)
self.lab_logger().warning(
f"增加液体资源时数量为1自动补全为 {len(LIQUID_INPUT_SLOT)}"
)
for liquid_type, liquid_volume, liquid_input_slot in zip(
ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
):
empty_liquid_info_in[liquid_input_slot] = (liquid_type, liquid_volume)
plr_instance.set_well_liquids(empty_liquid_info_in)
try:
# noinspection PyProtectedMember
keys = list(plr_instance._ordering.keys())
@@ -603,10 +511,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
input_wells = []
for r in LIQUID_INPUT_SLOT:
input_wells.append(plr_instance.children[r])
for input_well, liquid_type, liquid_volume, liquid_input_slot in zip(
input_wells, ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
):
input_well.set_liquids([(liquid_type, liquid_volume, "ul")])
final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(
input_wells
).dump()
@@ -625,13 +529,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
Coordinate(location["x"], location["y"], location["z"]),
**other_calling_param,
)
# 调整了液体以及Deck之后要重新Assign
# noinspection PyUnresolvedReferences
# _t3 = time.time()
rts_with_parent = ResourceTreeSet.from_plr_resources([parent_resource])
# _n_parent = len(rts_with_parent.all_nodes)
if rts_with_parent.root_nodes[0].res_content.uuid_parent is None:
rts_with_parent.root_nodes[0].res_content.parent_uuid = self.uuid
request.command = _fast_dumps_str(
request.command = json.dumps(
{
"action": "add",
"data": {
@@ -641,18 +544,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
},
}
)
# _t4 = time.time()
# self.lab_logger().debug(
# f"[AR:{_ar_tag}] 二次上传序列化 {_n_parent}节点 {((_t4 - _t3) * 1000):.0f}ms, 发送中..."
# )
tree_response: SerialCommand.Response = await client.call_async(request)
# _t5 = time.time()
uuid_maps = _fast_loads(tree_response.response)
uuid_maps = json.loads(tree_response.response)
self.resource_tracker.loop_update_uuid(input_resources, uuid_maps)
# self._lab_logger.info(
# f"[AR:{_ar_tag}] 二次上传完成 HTTP={(_t5 - _t4) * 1000:.0f}ms "
# f"UUID映射={len(uuid_maps)}节点 总执行={(_t5 - _t0) * 1000:.0f}ms"
# )
self._lab_logger.info(f"Resource tree added. UUID mapping: {len(uuid_maps)} nodes")
# 这里created_resources不包含parent_resource
# 发送给ResourceMeshManager
action_client = ActionClient(
self,
@@ -789,11 +685,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
# 发送请求并等待响应
response: SerialCommand_Response = await self._resource_clients["resource_get"].call_async(r)
if not response.response:
raise ValueError(f"查询资源 {resource_id} 失败:服务端返回空响应")
raw_data = json.loads(response.response)
if not raw_data:
raise ValueError(f"查询资源 {resource_id} 失败:返回数据为空")
# 转换为 PLR 资源
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -1242,8 +1134,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if uid is None:
raise ValueError(f"目标物料{target_resource}没有unilabos_uuid属性无法转运")
target_uids.append(uid)
_ns = target_device_id if target_device_id.startswith("/devices/") else f"/devices/{target_device_id.lstrip('/')}"
srv_address = f"/srv{_ns}/s2c_resource_tree"
srv_address = f"/srv{target_device_id}/s2c_resource_tree"
sclient = self.create_client(SerialCommand, srv_address)
# 等待服务可用(设置超时)
if not sclient.wait_for_service(timeout_sec=5.0):
@@ -1293,7 +1184,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return False
time.sleep(0.05)
self.lab_logger().info(f"资源本地增加到{target_device_id}结果: {response.response}")
return "转运完成"
return None
def register_device(self):
"""向注册表中注册设备信息"""
@@ -1365,8 +1256,9 @@ 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。已在 status_types 中声明的属性直接创建;@topic_config 用于覆盖默认参数"""
topic_cfg = {}
"""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)
# 区分 @property 和普通方法两种情况
@@ -1375,17 +1267,23 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
if is_prop:
# @property: 检测 fget 上的 @topic_config
class_attr = getattr(driver_class, attr_name)
if class_attr.fget is not None:
topic_cfg = get_topic_config(class_attr.fget)
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_cfg = get_topic_config(method)
topic_config = get_topic_config(method)
# 没有 @topic_config 装饰器则跳过发布
if not topic_config:
return
# 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
cfg_name = topic_cfg.get("name")
cfg_name = topic_config.get("name")
if cfg_name:
publish_name = cfg_name
elif attr_name.startswith("get_"):
@@ -1393,10 +1291,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
else:
publish_name = attr_name
# @topic_config 参数覆盖默认值
cfg_period = topic_cfg.get("period")
cfg_print = topic_cfg.get("print_publish")
cfg_qos = topic_cfg.get("qos")
# 使用装饰器配置或默认值
cfg_period = topic_config.get("period")
cfg_print = topic_config.get("print_publish")
cfg_qos = topic_config.get("qos")
period: float = cfg_period if cfg_period is not None else initial_period
print_publish: bool = cfg_print if cfg_print is not None else self._print_publish
qos: int = cfg_qos if cfg_qos is not None else 10
@@ -1678,75 +1576,37 @@ class BaseROS2DeviceNode(Node, Generic[T]):
feedback_msg_types = action_type.Feedback.get_fields_and_field_types()
result_msg_types = action_type.Result.get_fields_and_field_types()
# 低频 feedback timer10s不阻塞完成检测
_feedback_timer = None
while future is not None and not future.done():
if goal_handle.is_cancel_requested:
self.lab_logger().info(f"取消动作: {action_name}")
future.cancel() # 尝试取消线程池中的任务
goal_handle.canceled()
return action_type.Result()
def _publish_feedback():
if future is not None and not future.done():
self._time_spent = time.time() - time_start
self._time_remaining = time_overall - self._time_spent
feedback_values = {}
for msg_name, attr_name in action_value_mapping["feedback"].items():
if hasattr(self.driver_instance, f"get_{attr_name}"):
method = getattr(self.driver_instance, f"get_{attr_name}")
if not asyncio.iscoroutinefunction(method):
feedback_values[msg_name] = method()
elif hasattr(self.driver_instance, attr_name):
feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
if self._print_publish:
self.lab_logger().info(f"反馈: {feedback_values}")
feedback_msg = convert_to_ros_msg_with_mapping(
ros_msg_type=action_type.Feedback(),
obj=feedback_values,
value_mapping=action_value_mapping["feedback"],
)
goal_handle.publish_feedback(feedback_msg)
self._time_spent = time.time() - time_start
self._time_remaining = time_overall - self._time_spent
if action_value_mapping.get("feedback"):
_fb_interval = action_value_mapping.get("feedback_interval", 0.5)
_feedback_timer = self.create_timer(
_fb_interval, _publish_feedback, callback_group=self.callback_group
# 发布反馈
feedback_values = {}
for msg_name, attr_name in action_value_mapping["feedback"].items():
if hasattr(self.driver_instance, f"get_{attr_name}"):
method = getattr(self.driver_instance, f"get_{attr_name}")
if not asyncio.iscoroutinefunction(method):
feedback_values[msg_name] = method()
elif hasattr(self.driver_instance, attr_name):
feedback_values[msg_name] = getattr(self.driver_instance, attr_name)
if self._print_publish:
self.lab_logger().info(f"反馈: {feedback_values}")
feedback_msg = convert_to_ros_msg_with_mapping(
ros_msg_type=action_type.Feedback(),
obj=feedback_values,
value_mapping=action_value_mapping["feedback"],
)
# 等待 action 完成
if future is not None:
if isinstance(future, Task):
# rclpy Task直接 await完成瞬间唤醒
try:
_raw_result = await future
except Exception as e:
_raw_result = e
else:
# concurrent.futures.Future同步 action用 rclpy 兼容的轮询
_poll_future = Future()
def _on_sync_done(fut):
if not _poll_future.done():
_poll_future.set_result(None)
future.add_done_callback(_on_sync_done)
await _poll_future
try:
_raw_result = future.result()
except Exception as e:
_raw_result = e
# 确保 execution_error/success 被正确设置(不依赖 done callback 时序)
if isinstance(_raw_result, BaseException):
if not execution_error:
execution_error = traceback.format_exception(
type(_raw_result), _raw_result, _raw_result.__traceback__
)
execution_error = "".join(execution_error)
execution_success = False
action_return_value = _raw_result
elif not execution_error:
execution_success = True
action_return_value = _raw_result
# 清理 feedback timer
if _feedback_timer is not None:
_feedback_timer.cancel()
goal_handle.publish_feedback(feedback_msg)
time.sleep(0.5)
if future is not None and future.cancelled():
self.lab_logger().info(f"动作 {action_name} 已取消")
@@ -1755,12 +1615,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# self.lab_logger().info(f"动作执行完成: {action_name}")
del future
# 执行失败时跳过物料状态更新
if execution_error:
execution_success = False
# 向Host更新物料当前状态
if not execution_error and action_name not in ["create_resource_detailed", "create_resource"]:
if action_name not in ["create_resource_detailed", "create_resource"]:
for k, v in goal.get_fields_and_field_types().items():
if v not in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
continue
@@ -1816,7 +1672,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
for attr_name in result_msg_types.keys():
if attr_name in ["success", "reached_goal"]:
setattr(result_msg, attr_name, execution_success)
setattr(result_msg, attr_name, True)
elif attr_name == "return_info":
setattr(
result_msg,
@@ -1922,7 +1778,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
raise ValueError("至少需要提供一个 UUID")
uuids_list = list(uuids)
future: Future = self._resource_clients["c2s_update_resource_tree"].call_async(
future = self._resource_clients["c2s_update_resource_tree"].call_async(
SerialCommand.Request(
command=json.dumps(
{
@@ -1948,8 +1804,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
raise Exception(f"资源查询返回空结果: {uuids_list}")
raw_data = json.loads(response.response)
if not raw_data:
raise Exception(f"资源原始查询返回空结果: {raw_data}")
# 转换为 PLR 资源
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
@@ -1971,15 +1825,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
mapped_plr_resources = []
for uuid in uuids_list:
found = None
for plr_resource in figured_resources:
r = self.resource_tracker.loop_find_with_uuid(plr_resource, uuid)
if r is not None:
found = r
break
if found is None:
raise Exception(f"未能在已解析的资源树中找到 uuid={uuid} 对应的资源")
mapped_plr_resources.append(found)
mapped_plr_resources.append(r)
break
return mapped_plr_resources
@@ -2072,27 +1921,16 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"执行动作时JSON缺少function_name或function_args: {ex}\n原JSON: {string}\n{traceback.format_exc()}"
)
async def _convert_resource_async(self, resource_data: "ResourceDictType"):
"""异步转换 ResourceDictType 为 PLR 实例,优先用 uuid 查询"""
unilabos_uuid = resource_data.get("uuid")
if unilabos_uuid:
resource_tree = await self.get_resource([unilabos_uuid], with_children=True)
plr_resources = resource_tree.to_plr_resources()
if plr_resources:
plr_resource = plr_resources[0]
else:
raise ValueError(f"通过 uuid={unilabos_uuid} 查询资源为空")
else:
res_id = resource_data.get("id") or resource_data.get("name", "")
if not res_id:
raise ValueError(f"资源数据缺少 uuid 和 id: {list(resource_data.keys())}")
plr_resource = await self.get_resource_with_dir(resource_id=res_id, with_children=True)
async def _convert_resource_async(self, resource_data: Dict[str, Any]):
"""异步转换资源数据为实例"""
# 使用封装的get_resource_with_dir方法获取PLR资源
plr_resource = await self.get_resource_with_dir(resource_ids=resource_data["id"], with_children=True)
# 通过资源跟踪器获取本地实例
res = self.resource_tracker.figure_resource(plr_resource, try_mode=True)
if len(res) == 0:
self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data.get('id', '?')},返回新建实例")
# todo: 后续通过decoration来区分减少warning
self.lab_logger().warning(f"资源转换未能索引到实例: {resource_data},返回新建实例")
return plr_resource
elif len(res) == 1:
return res[0]
@@ -2340,4 +2178,4 @@ class DeviceInfoType(TypedDict):
status_publishers: Dict[str, PropertyPublisher]
actions: Dict[str, ActionServer]
hardware_interface: Dict[str, Any]
base_node_instance: BaseROS2DeviceNode
base_node_instance: BaseROS2DeviceNode

View File

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

View File

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

View File

@@ -22,447 +22,6 @@
"arm_state": "idle",
"message": "工作台就绪"
}
},
{
"id": "PRCXI",
"name": "PRCXI",
"type": "device",
"class": "liquid_handler.prcxi",
"parent": "",
"pose": {
"size": {
"width": 562,
"height": 394,
"depth": 0
}
},
"config": {
"axis": "Left",
"deck": {
"_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
"_resource_child_name": "PRCXI_Deck"
},
"host": "10.20.30.184",
"port": 9999,
"debug": true,
"setup": true,
"is_9320": true,
"timeout": 10,
"matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
"simulator": true,
"channel_num": 2
},
"data": {
"reset_ok": true
},
"schema": {},
"description": "",
"model": null,
"position": {
"x": 0,
"y": 240,
"z": 0
}
},
{
"id": "PRCXI_Deck",
"name": "PRCXI_Deck",
"children": [],
"parent": "PRCXI",
"type": "deck",
"class": "",
"position": {
"x": 10,
"y": 10,
"z": 0
},
"config": {
"type": "PRCXI9300Deck",
"size_x": 542,
"size_y": 374,
"size_z": 0,
"rotation": {
"x": 0,
"y": 0,
"z": 0,
"type": "Rotation"
},
"category": "deck",
"barcode": null,
"preferred_pickup_location": null,
"sites": [
{
"label": "T1",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"container",
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T2",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T3",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T4",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T5",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T6",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T7",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T8",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T9",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T10",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T11",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T12",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T13",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T14",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T15",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T16",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
}
]
},
"data": {}
}
],
"links": []

View File

@@ -13,7 +13,7 @@
"deck": {
"data": {
"_resource_child_name": "YB_Bioyond_Deck",
"_resource_type": "unilabos.resources.bioyond.decks:BioyondElectrolyteDeck"
"_resource_type": "unilabos.resources.bioyond.decks:BIOYOND_YB_Deck"
}
},
"protocol_type": [],
@@ -103,14 +103,15 @@
"children": [],
"parent": "bioyond_cell_workstation",
"type": "deck",
"class": "BioyondElectrolyteDeck",
"class": "BIOYOND_YB_Deck",
"position": {
"x": 0,
"y": 0,
"z": 0
},
"config": {
"type": "BioyondElectrolyteDeck",
"type": "BIOYOND_YB_Deck",
"setup": true,
"rotation": {
"x": 0,
"y": 0,

View File

@@ -1,385 +0,0 @@
import logging
import os
import platform
from datetime import datetime
import ctypes
import atexit
import inspect
from typing import Tuple, cast
# 添加TRACE级别到logging模块
TRACE_LEVEL = 5
logging.addLevelName(TRACE_LEVEL, "TRACE")
class CustomRecord:
custom_stack_info: Tuple[str, int, str, str]
# Windows颜色支持
if platform.system() == "Windows":
# 尝试启用Windows终端的ANSI支持
kernel32 = ctypes.windll.kernel32
# 获取STD_OUTPUT_HANDLE
STD_OUTPUT_HANDLE = -11
# 启用ENABLE_VIRTUAL_TERMINAL_PROCESSING
ENABLE_VIRTUAL_TERMINAL_PROCESSING = 0x0004
# 获取当前控制台模式
handle = kernel32.GetStdHandle(STD_OUTPUT_HANDLE)
mode = ctypes.c_ulong()
kernel32.GetConsoleMode(handle, ctypes.byref(mode))
# 启用ANSI处理
kernel32.SetConsoleMode(handle, mode.value | ENABLE_VIRTUAL_TERMINAL_PROCESSING)
# 程序退出时恢复控制台设置
@atexit.register
def reset_console():
kernel32.SetConsoleMode(handle, mode.value)
# 定义不同日志级别的颜色
class ColoredFormatter(logging.Formatter):
"""自定义日志格式化器,支持颜色输出"""
# ANSI 颜色代码
COLORS = {
"RESET": "\033[0m", # 重置
"BOLD": "\033[1m", # 加粗
"GRAY": "\033[37m", # 灰色
"WHITE": "\033[97m", # 白色
"BLACK": "\033[30m", # 黑色
"TRACE_LEVEL": "\033[1;90m", # 加粗深灰色
"DEBUG_LEVEL": "\033[1;36m", # 加粗青色
"INFO_LEVEL": "\033[1;32m", # 加粗绿色
"WARNING_LEVEL": "\033[1;33m", # 加粗黄色
"ERROR_LEVEL": "\033[1;31m", # 加粗红色
"CRITICAL_LEVEL": "\033[1;35m", # 加粗紫色
"TRACE_TEXT": "\033[90m", # 深灰色
"DEBUG_TEXT": "\033[37m", # 灰色
"INFO_TEXT": "\033[97m", # 白色
"WARNING_TEXT": "\033[33m", # 黄色
"ERROR_TEXT": "\033[31m", # 红色
"CRITICAL_TEXT": "\033[35m", # 紫色
"DATE": "\033[37m", # 日期始终使用灰色
}
def __init__(self, use_colors=True):
super().__init__()
# 强制启用颜色
self.use_colors = use_colors
def format(self, record):
# 检查是否有自定义堆栈信息
if hasattr(record, "custom_stack_info") and record.custom_stack_info: # type: ignore
r = cast(CustomRecord, record)
frame_info = r.custom_stack_info
record.filename = frame_info[0]
record.lineno = frame_info[1]
record.funcName = frame_info[2]
if len(frame_info) > 3:
record.name = frame_info[3]
if not self.use_colors:
return self._format_basic(record)
level_color = self.COLORS.get(f"{record.levelname}_LEVEL", self.COLORS["WHITE"])
text_color = self.COLORS.get(f"{record.levelname}_TEXT", self.COLORS["WHITE"])
date_color = self.COLORS["DATE"]
reset = self.COLORS["RESET"]
# 日期格式
datetime_str = datetime.fromtimestamp(record.created).strftime("%y-%m-%d [%H:%M:%S,%f")[:-3] + "]"
# 模块和函数信息
filename = record.filename.replace(".py", "").split("\\")[-1] # 提取文件名(不含路径和扩展名)
if "/" in filename:
filename = filename.split("/")[-1]
module_path = f"{record.name}.{filename}"
func_line = f"{record.funcName}:{record.lineno}"
right_info = f" [{func_line}] [{module_path}]"
# 主要消息
main_msg = record.getMessage()
# 构建基本消息格式
formatted_message = (
f"{date_color}{datetime_str}{reset} "
f"{level_color}[{record.levelname}]{reset} "
f"{text_color}{main_msg}"
f"{date_color}{right_info}{reset}"
)
# 处理异常信息
if record.exc_info:
exc_text = self.formatException(record.exc_info)
if formatted_message[-1:] != "\n":
formatted_message = formatted_message + "\n"
formatted_message = formatted_message + text_color + exc_text + reset
elif record.stack_info:
if formatted_message[-1:] != "\n":
formatted_message = formatted_message + "\n"
formatted_message = formatted_message + text_color + self.formatStack(record.stack_info) + reset
return formatted_message
def _format_basic(self, record):
"""基本格式化,不包含颜色"""
datetime_str = datetime.fromtimestamp(record.created).strftime("%y-%m-%d [%H:%M:%S,%f")[:-3] + "]"
filename = record.filename.replace(".py", "").split("\\")[-1] # 提取文件名(不含路径和扩展名)
if "/" in filename:
filename = filename.split("/")[-1]
module_path = f"{record.name}.{filename}"
func_line = f"{record.funcName}:{record.lineno}"
right_info = f" [{func_line}] [{module_path}]"
formatted_message = f"{datetime_str} [{record.levelname}] {record.getMessage()}{right_info}"
if record.exc_info:
exc_text = self.formatException(record.exc_info)
if formatted_message[-1:] != "\n":
formatted_message = formatted_message + "\n"
formatted_message = formatted_message + exc_text
elif record.stack_info:
if formatted_message[-1:] != "\n":
formatted_message = formatted_message + "\n"
formatted_message = formatted_message + self.formatStack(record.stack_info)
return formatted_message
def formatException(self, exc_info):
"""重写异常格式化,确保异常信息保持正确的格式和颜色"""
# 获取标准的异常格式化文本
formatted_exc = super().formatException(exc_info)
return formatted_exc
# 配置日志处理器
def configure_logger(loglevel=None, working_dir=None):
"""配置日志记录器
Args:
loglevel: 日志级别,可以是字符串('TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
或logging模块的常量如logging.DEBUG或TRACE_LEVEL
"""
# 获取根日志记录器
root_logger = logging.getLogger()
root_logger.setLevel(TRACE_LEVEL)
# 设置日志级别
numeric_level = logging.DEBUG
if loglevel is not None:
if isinstance(loglevel, str):
# 将字符串转换为logging级别
if loglevel.upper() == "TRACE":
numeric_level = TRACE_LEVEL
else:
numeric_level = getattr(logging, loglevel.upper(), None)
if not isinstance(numeric_level, int):
print(f"警告: 无效的日志级别 '{loglevel}',使用默认级别 DEBUG")
else:
numeric_level = loglevel
# 移除已存在的处理器
for handler in root_logger.handlers[:]:
root_logger.removeHandler(handler)
# 创建控制台处理器
console_handler = logging.StreamHandler()
console_handler.setLevel(numeric_level) # 使用与根记录器相同的级别
# 使用自定义的颜色格式化器
color_formatter = ColoredFormatter()
console_handler.setFormatter(color_formatter)
# 添加处理器到根日志记录器
root_logger.addHandler(console_handler)
# 如果指定了工作目录,添加文件处理器
if working_dir is not None:
logs_dir = os.path.join(working_dir, "logs")
os.makedirs(logs_dir, exist_ok=True)
# 生成日志文件名:日期 时间.log
log_filename = datetime.now().strftime("%Y-%m-%d %H-%M-%S") + ".log"
log_filepath = os.path.join(logs_dir, log_filename)
# 创建文件处理器
file_handler = logging.FileHandler(log_filepath, encoding="utf-8")
file_handler.setLevel(TRACE_LEVEL)
# 使用不带颜色的格式化器
file_formatter = ColoredFormatter(use_colors=False)
file_handler.setFormatter(file_formatter)
root_logger.addHandler(file_handler)
logging.getLogger("asyncio").setLevel(logging.INFO)
logging.getLogger("urllib3").setLevel(logging.INFO)
# 配置日志系统
configure_logger()
# 获取日志记录器
logger = logging.getLogger(__name__)
# 获取调用栈信息的工具函数
def _get_caller_info(stack_level=0) -> Tuple[str, int, str, str]:
"""
获取调用者的信息
Args:
stack_level: 堆栈回溯的级别0表示当前函数1表示调用者依此类推
Returns:
(filename, line_number, function_name, module_name) 元组
"""
# 堆栈级别需要加3:
# +1 因为这个函数本身占一层
# +1 因为日志函数(debug, info等)占一层
# +1 因为下面调用 inspect.stack() 也占一层
frame = inspect.currentframe()
try:
# 跳过适当的堆栈帧
for _ in range(stack_level + 3):
if frame and frame.f_back:
frame = frame.f_back
else:
break
if frame:
filename = frame.f_code.co_filename if frame.f_code else "unknown"
line_number = frame.f_lineno if hasattr(frame, "f_lineno") else 0
function_name = frame.f_code.co_name if frame.f_code else "unknown"
# 获取模块名称
module_name = "unknown"
if frame.f_globals and "__name__" in frame.f_globals:
module_name = frame.f_globals["__name__"].rsplit(".", 1)[0]
return (filename, line_number, function_name, module_name)
return ("unknown", 0, "unknown", "unknown")
finally:
del frame # 避免循环引用
# 便捷日志记录函数
def debug(msg, *args, stack_level=0, **kwargs):
"""
记录DEBUG级别日志
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.debug的其他参数
"""
# 获取调用者信息
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.debug(msg, *args, **kwargs)
def info(msg, *args, stack_level=0, **kwargs):
"""
记录INFO级别日志
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.info的其他参数
"""
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.info(msg, *args, **kwargs)
def warning(msg, *args, stack_level=0, **kwargs):
"""
记录WARNING级别日志
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.warning的其他参数
"""
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.warning(msg, *args, **kwargs)
def error(msg, *args, stack_level=0, **kwargs):
"""
记录ERROR级别日志
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.error的其他参数
"""
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.error(msg, *args, **kwargs)
def critical(msg, *args, stack_level=0, **kwargs):
"""
记录CRITICAL级别日志
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.critical的其他参数
"""
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.critical(msg, *args, **kwargs)
def trace(msg, *args, stack_level=0, **kwargs):
"""
记录TRACE级别日志比DEBUG级别更低
Args:
msg: 日志消息
stack_level: 堆栈回溯级别,用于定位日志的实际调用位置
*args, **kwargs: 传递给logger.log的其他参数
"""
if stack_level > 0:
caller_info = _get_caller_info(stack_level)
extra = kwargs.get("extra", {})
extra["custom_stack_info"] = caller_info
kwargs["extra"] = extra
logger.log(TRACE_LEVEL, msg, *args, **kwargs)
logger.trace = trace
# 测试日志输出(如果直接运行此文件)
if __name__ == "__main__":
print("测试不同日志级别的颜色输出:")
trace("这是一条跟踪日志 (TRACE级别显示为深灰色其他文本也为深灰色)")
debug("这是一条调试日志 (DEBUG级别显示为蓝色其他文本为灰色)")
info("这是一条信息日志 (INFO级别显示为绿色其他文本为白色)")
warning("这是一条警告日志 (WARNING级别显示为黄色其他文本也为黄色)")
error("这是一条错误日志 (ERROR级别显示为红色其他文本也为红色)")
critical("这是一条严重错误日志 (CRITICAL级别显示为紫色其他文本也为紫色)")
# 测试异常输出
try:
1 / 0
except Exception as e:
error(f"发生错误: {e}", exc_info=True)

View File

@@ -191,23 +191,9 @@ def configure_logger(loglevel=None, working_dir=None):
# 添加处理器到根日志记录器
root_logger.addHandler(console_handler)
# 降低第三方库的日志级别,避免过多输出
# pymodbus 库的日志太详细,设置为 WARNING
logging.getLogger('pymodbus').setLevel(logging.WARNING)
logging.getLogger('pymodbus.logging').setLevel(logging.WARNING)
logging.getLogger('pymodbus.logging.base').setLevel(logging.WARNING)
logging.getLogger('pymodbus.logging.decoders').setLevel(logging.WARNING)
# websockets 库的日志输出较多,设置为 WARNING
logging.getLogger('websockets').setLevel(logging.WARNING)
logging.getLogger('websockets.client').setLevel(logging.WARNING)
logging.getLogger('websockets.server').setLevel(logging.WARNING)
# ROS 节点的状态更新日志过于频繁,设置为 INFO
logging.getLogger('unilabos.ros.nodes.presets.host_node').setLevel(logging.INFO)
# 如果指定了工作目录,添加文件处理器
log_filepath = None
if working_dir is not None:
logs_dir = os.path.join(working_dir, "logs")
os.makedirs(logs_dir, exist_ok=True)
@@ -228,6 +214,7 @@ def configure_logger(loglevel=None, working_dir=None):
logging.getLogger("asyncio").setLevel(logging.INFO)
logging.getLogger("urllib3").setLevel(logging.INFO)
return log_filepath
# 配置日志系统

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