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...

63 Commits

Author SHA1 Message Date
Xuwznln
33c30bc92e 允许station_resource为空 2025-09-09 15:52:21 +08:00
Xuwznln
2a8ed542de Merge branch 'dev' into workstation_dev_new
# Conflicts:
#	unilabos/registry/devices/work_station.yaml
2025-09-09 14:35:52 +08:00
Xuwznln
361eae2f6d 注册表编辑器 2025-09-07 20:57:48 +08:00
Xuwznln
c25283ae04 主机节点信息等支持自动刷新 2025-09-07 12:53:00 +08:00
Xuwznln
961752fb0d 更新schema的title字段 2025-09-07 00:43:23 +08:00
Xuwznln
53b1fde731 Merge branch 'dev' into workstation_dev_new 2025-09-04 20:20:33 +08:00
Xuwznln
55165024dd 修复async错误 2025-09-04 20:19:15 +08:00
Xuwznln
6ddceb8393 修复edge上报错误 2025-09-04 19:31:19 +08:00
Xuwznln
4e52c7d2f4 修复event loop错误 2025-09-04 17:11:50 +08:00
Xuwznln
0b56efc89d 增加handle检测,增加material edge关系上传 2025-09-04 16:46:25 +08:00
Xuwznln
5108678cf5 Merge branch 'dev' into workstation_dev_new 2025-09-04 02:51:29 +08:00
Xuwznln
a27b93396a 修复工站的tracker实例追踪失效问题 2025-09-04 02:51:13 +08:00
Xuwznln
7b004f43e8 Merge branch 'dev' into workstation_dev_new 2025-09-04 01:17:26 +08:00
Xuwznln
2a60a6c27e 修正物料关系上传 2025-09-03 14:20:37 +08:00
Xuwznln
5dda94044d 增加物料关系上传日志 2025-09-03 12:31:25 +08:00
Xuwznln
0cfc6f45e3 增加物料关系上传日志 2025-09-03 12:20:54 +08:00
Xuwznln
831f4549f9 ws protocol 2025-09-02 18:51:27 +08:00
Xuwznln
f4d4eb06d3 ws test version 2 2025-09-02 18:29:05 +08:00
Xuwznln
e3b8164f6b ws test version 1 2025-09-02 14:32:02 +08:00
Xuwznln
78c04acc2e fix: missing job_id key 2025-09-01 16:34:23 +08:00
Xuwznln
cd0428ea78 fix: build 2025-08-30 12:24:28 +08:00
Xuwznln
bdddbd57ba fix: 还原protocol node处理方法 2025-08-30 12:22:46 +08:00
Xuwznln
a312de08a5 fix: station自己的方法注册错误 2025-08-30 12:20:24 +08:00
Xuwznln
68513b5745 feat: action status 2025-08-29 15:38:16 +08:00
Xuwznln
19027350fb feat: workstation example 2025-08-29 02:47:20 +08:00
Xuwznln
bbbdb06bbc feat: websocket test 2025-08-28 19:57:14 +08:00
Xuwznln
cd84e26126 feat: websocket 2025-08-28 14:34:38 +08:00
Junhan Chang
ce5bab3af1 example for use WorkstationBase 2025-08-27 15:20:20 +08:00
Junhan Chang
82d9ef6bf7 uncompleted refactor 2025-08-27 15:19:58 +08:00
Junhan Chang
332b33c6f4 simplify resource system 2025-08-27 11:13:56 +08:00
ZiWei
1ec642ee3a update: Workstation dev 将版本号从 0.10.3 更新为 0.10.4 (#84)
* Add:msgs.action

* update: 将版本号从 0.10.3 更新为 0.10.4
2025-08-27 01:55:28 +08:00
ZiWei
7d8e6d029b Add:msgs.action (#83) 2025-08-27 01:21:13 +08:00
Junhan Chang
5ec8a57a1f refactor: ProtocolNode→WorkstationNode 2025-08-25 22:09:37 +08:00
Junhan Chang
ae3c1100ae refactor: workstation_base 重构为仅含业务逻辑,通信和子设备管理交给 ProtocolNode 2025-08-22 06:43:43 +08:00
Junhan Chang
14bc2e6cda Create workstation_architecture.md 2025-08-21 10:09:57 +08:00
Junhan Chang
9f823a4198 update workstation base 2025-08-21 10:05:58 +08:00
Xuwznln
02c79363c1 feat: add sk & ak 2025-08-20 21:23:08 +08:00
Junhan Chang
227ff1284a add workstation template and battery example 2025-08-19 21:35:27 +08:00
Xuwznln
4b7bde6be5 Update recipe.yaml 2025-08-13 16:36:53 +08:00
Xuwznln
8a669ac35a fix: figure_resource 2025-08-13 13:23:02 +08:00
Junhan Chang
a1538da39e use call_async in all service to avoid deadlock 2025-08-13 04:25:51 +08:00
Xuwznln
0063df4cf3 fix: prcxi import error 2025-08-12 19:31:52 +08:00
Xuwznln
e570ba4976 临时兼容错误的driver写法 2025-08-12 19:20:53 +08:00
Xuwznln
e8c1f76dbb fix protocol node 2025-08-12 17:08:59 +08:00
Junhan Chang
f791c1a342 fix filter protocol 2025-08-12 16:48:32 +08:00
Junhan Chang
ea60cbe891 bugfixes on organic protocols 2025-08-12 14:50:01 +08:00
Junhan Chang
eac9b8ab3d fix and remove redundant info 2025-08-11 20:52:03 +08:00
Xuwznln
573bcf1a6c feat: 新增use_remote_resource参数 2025-08-11 16:09:27 +08:00
Junhan Chang
50e93cb1af fix all protocol_compilers and remove deprecated devices 2025-08-11 15:01:04 +08:00
Xuwznln
fe1a029a9b feat: 优化protocol node节点运行日志 2025-08-10 17:31:44 +08:00
Junhan Chang
662c063f50 fix pumps and liquid_handler handle 2025-08-07 20:59:57 +08:00
Xuwznln
01cbbba0b3 feat: workstation example 2025-08-07 15:26:17 +08:00
Xuwznln
e6c556cf19 add: prcxi res
fix: startup slow
2025-08-07 01:26:33 +08:00
Xuwznln
0605f305ed fix: prcxi_res 2025-08-06 23:06:22 +08:00
Xuwznln
37d8108ec4 fix: discard_tips 2025-08-06 19:27:10 +08:00
Xuwznln
6081dac561 fix: discard_tips error 2025-08-06 19:18:35 +08:00
Xuwznln
5b2d066127 fix: drop_tips not using auto resource select 2025-08-06 19:10:04 +08:00
ZiWei
06e66765e7 feat: 添加ChinWe设备控制类,支持串口通信和电机控制功能 (#79) 2025-08-06 18:49:37 +08:00
Xuwznln
98ce360088 feat: add trace log level 2025-08-04 20:27:02 +08:00
Xuwznln
5cd0f72fbd modify default discovery_interval to 15s 2025-08-04 14:10:43 +08:00
Xuwznln
343f394203 fix: working dir error when input config path
feat: report publish topic when error
2025-08-04 14:04:31 +08:00
Junhan Chang
46aa7a7bd2 fix: workstation handlers and vessel_id parsing 2025-08-04 10:24:42 +08:00
Junhan Chang
a66369e2c3 Cleanup registry to be easy-understanding (#76)
* delete deprecated mock devices

* rename categories

* combine chromatographic devices

* rename rviz simulation nodes

* organic virtual devices

* parse vessel_id

* run registry completion before merge

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
2025-08-03 11:21:37 +08:00
152 changed files with 17787 additions and 166695 deletions

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@@ -1,6 +1,6 @@
package:
name: unilabos
version: 0.10.3
version: 0.10.4
source:
path: ../unilabos
@@ -36,6 +36,7 @@ requirements:
- conda-forge::python ==3.11.11
- compilers
- cmake
- zstd
- ninja
- if: unix
then:
@@ -60,7 +61,7 @@ requirements:
- uvicorn
- gradio
- flask
- websocket
- websockets
- ipython
- jupyter
- jupyros
@@ -85,5 +86,5 @@ requirements:
about:
repository: https://github.com/dptech-corp/Uni-Lab-OS
license: GPL-3.0
license: GPL-3.0-only
description: "Uni-Lab-OS"

View File

@@ -5,6 +5,7 @@
# Uni-Lab-OS
<!-- Language switcher -->
**English** | [中文](README_zh.md)
[![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/stargazers)
@@ -74,4 +75,4 @@ This project is licensed under GPL-3.0 - see the [LICENSE](LICENSE) file for det
## Contact Us
- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)

View File

@@ -5,6 +5,7 @@
# Uni-Lab-OS
<!-- Language switcher -->
[English](README.md) | **中文**
[![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/stargazers)
@@ -12,7 +13,7 @@
[![GitHub Issues](https://img.shields.io/github/issues/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/issues)
[![GitHub License](https://img.shields.io/github/license/dptech-corp/Uni-Lab-OS.svg)](https://github.com/dptech-corp/Uni-Lab-OS/blob/main/LICENSE)
Uni-Lab-OS是一个用于实验室自动化的综合平台旨在连接和控制各种实验设备实现实验流程的自动化和标准化。
Uni-Lab-OS 是一个用于实验室自动化的综合平台,旨在连接和控制各种实验设备,实现实验流程的自动化和标准化。
## 🏆 比赛
@@ -34,7 +35,7 @@ Uni-Lab-OS是一个用于实验室自动化的综合平台旨在连接和控
## 快速开始
1. 配置Conda环境
1. 配置 Conda 环境
Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的操作系统选择适当的环境文件:
@@ -43,7 +44,7 @@ Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的操作系统选择适
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
```
2. 安装开发版Uni-Lab-OS:
2. 安装开发版 Uni-Lab-OS:
```bash
# 克隆仓库
@@ -76,4 +77,4 @@ Uni-Lab-OS 使用预构建的 `unilabos_msgs` 进行系统通信。您可以在
## 联系我们
- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)

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@@ -19,7 +19,7 @@ Uni-Lab 的组态图当前支持 node-link json 和 graphml 格式,其中包
对用户来说,“直接操作设备执行单个指令”不是个真实需求,真正的需求是**“执行对实验有意义的单个完整动作”——加入某种液体多少量;萃取分液;洗涤仪器等等。就像实验步骤文字书写的那样。**
而这些对实验有意义的单个完整动作,**一般需要多个设备的协同**,还依赖于他们的**物理连接关系(管道相连;机械臂可转运)**。
于是 Uni-Lab 实现了抽象的“工作站”,即注册表中的 `workstation` 设备(`ProtocolNode`类)来处理编译、规划操作。以泵骨架组成的自动有机实验室为例,设备管道连接关系如下:
于是 Uni-Lab 实现了抽象的“工作站”,即注册表中的 `workstation` 设备(`WorkstationNode`类)来处理编译、规划操作。以泵骨架组成的自动有机实验室为例,设备管道连接关系如下:
![topology](image/02-topology-and-chemputer-compile/topology.png)

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@@ -0,0 +1,378 @@
# 工作站基础架构设计文档
## 1. 整体架构图
```mermaid
graph TB
subgraph "工作站基础架构"
WB[WorkstationBase]
WB --> |继承| RPN[ROS2WorkstationNode]
WB --> |组合| WCB[WorkstationCommunicationBase]
WB --> |组合| MMB[MaterialManagementBase]
WB --> |组合| WHS[WorkstationHTTPService]
end
subgraph "通信层实现"
WCB --> |实现| PLC[PLCCommunication]
WCB --> |实现| SER[SerialCommunication]
WCB --> |实现| ETH[EthernetCommunication]
end
subgraph "物料管理实现"
MMB --> |实现| PLR[PyLabRobotMaterialManager]
MMB --> |实现| BIO[BioyondMaterialManager]
MMB --> |实现| SIM[SimpleMaterialManager]
end
subgraph "HTTP服务"
WHS --> |处理| LIMS[LIMS协议报送]
WHS --> |处理| MAT[物料变更报送]
WHS --> |处理| ERR[错误处理报送]
end
subgraph "具体工作站实现"
WB --> |继承| WS1[PLCWorkstation]
WB --> |继承| WS2[ReportingWorkstation]
WB --> |继承| WS3[HybridWorkstation]
end
subgraph "外部系统"
EXT1[PLC设备] --> |通信| PLC
EXT2[外部工作站] --> |HTTP报送| WHS
EXT3[LIMS系统] --> |HTTP报送| WHS
EXT4[Bioyond物料系统] --> |查询| BIO
end
```
## 2. 类关系图
```mermaid
classDiagram
class WorkstationBase {
<<abstract>>
+device_id: str
+communication: WorkstationCommunicationBase
+material_management: MaterialManagementBase
+http_service: WorkstationHTTPService
+workflow_status: WorkflowStatus
+supported_workflows: Dict
+_create_communication_module()*
+_create_material_management_module()*
+_register_supported_workflows()*
+process_step_finish_report()
+process_sample_finish_report()
+process_order_finish_report()
+process_material_change_report()
+handle_external_error()
+start_workflow()
+stop_workflow()
+get_workflow_status()
+get_device_status()
}
class ROS2WorkstationNode {
+sub_devices: Dict
+protocol_names: List
+execute_single_action()
+create_ros_action_server()
+initialize_device()
}
class WorkstationCommunicationBase {
<<abstract>>
+config: CommunicationConfig
+is_connected: bool
+connect()
+disconnect()
+start_workflow()*
+stop_workflow()*
+get_device_status()*
+write_register()
+read_register()
}
class MaterialManagementBase {
<<abstract>>
+device_id: str
+deck_config: Dict
+resource_tracker: DeviceNodeResourceTracker
+plr_deck: Deck
+find_materials_by_type()
+update_material_location()
+convert_to_unilab_format()
+_create_resource_by_type()*
}
class WorkstationHTTPService {
+workstation_instance: WorkstationBase
+host: str
+port: int
+start()
+stop()
+_handle_step_finish_report()
+_handle_material_change_report()
}
class PLCWorkstation {
+plc_config: Dict
+modbus_client: ModbusTCPClient
+_create_communication_module()
+_create_material_management_module()
+_register_supported_workflows()
}
class ReportingWorkstation {
+report_handlers: Dict
+_create_communication_module()
+_create_material_management_module()
+_register_supported_workflows()
}
WorkstationBase --|> ROS2WorkstationNode
WorkstationBase *-- WorkstationCommunicationBase
WorkstationBase *-- MaterialManagementBase
WorkstationBase *-- WorkstationHTTPService
PLCWorkstation --|> WorkstationBase
ReportingWorkstation --|> WorkstationBase
WorkstationCommunicationBase <|-- PLCCommunication
WorkstationCommunicationBase <|-- DummyCommunication
MaterialManagementBase <|-- PyLabRobotMaterialManager
MaterialManagementBase <|-- SimpleMaterialManager
```
## 3. 工作站启动时序图
```mermaid
sequenceDiagram
participant APP as Application
participant WS as WorkstationBase
participant COMM as CommunicationModule
participant MAT as MaterialManager
participant HTTP as HTTPService
participant ROS as ROS2WorkstationNode
APP->>WS: 创建工作站实例
WS->>ROS: 初始化ROS2WorkstationNode
ROS->>ROS: 初始化子设备
ROS->>ROS: 设置硬件接口代理
WS->>COMM: _create_communication_module()
COMM->>COMM: 初始化通信配置
COMM->>COMM: 建立PLC/串口连接
COMM-->>WS: 返回通信模块实例
WS->>MAT: _create_material_management_module()
MAT->>MAT: 创建PyLabRobot Deck
MAT->>MAT: 初始化物料资源
MAT->>MAT: 注册到ResourceTracker
MAT-->>WS: 返回物料管理实例
WS->>WS: _register_supported_workflows()
WS->>WS: _create_workstation_services()
WS->>HTTP: _start_http_service()
HTTP->>HTTP: 创建HTTP服务器
HTTP->>HTTP: 启动监听线程
HTTP-->>WS: HTTP服务启动完成
WS-->>APP: 工作站初始化完成
```
## 4. 工作流执行时序图
```mermaid
sequenceDiagram
participant EXT as ExternalSystem
participant WS as WorkstationBase
participant COMM as CommunicationModule
participant MAT as MaterialManager
participant ROS as ROS2WorkstationNode
participant DEV as SubDevice
EXT->>WS: start_workflow(type, params)
WS->>WS: 验证工作流类型
WS->>COMM: start_workflow(type, params)
COMM->>COMM: 发送启动命令到PLC
COMM-->>WS: 启动成功
WS->>WS: 更新workflow_status = RUNNING
loop 工作流步骤执行
WS->>ROS: execute_single_action(device_id, action, params)
ROS->>DEV: 发送ROS Action请求
DEV->>DEV: 执行设备动作
DEV-->>ROS: 返回执行结果
ROS-->>WS: 返回动作结果
WS->>MAT: update_material_location(material_id, location)
MAT->>MAT: 更新PyLabRobot资源状态
MAT-->>WS: 更新完成
end
WS->>COMM: get_workflow_status()
COMM->>COMM: 查询PLC状态寄存器
COMM-->>WS: 返回状态信息
WS->>WS: 更新workflow_status = COMPLETED
WS-->>EXT: 工作流执行完成
```
## 5. HTTP报送处理时序图
```mermaid
sequenceDiagram
participant EXT as ExternalWorkstation
participant HTTP as HTTPService
participant WS as WorkstationBase
participant MAT as MaterialManager
participant DB as DataStorage
EXT->>HTTP: POST /report/step_finish
HTTP->>HTTP: 解析请求数据
HTTP->>HTTP: 验证LIMS协议字段
HTTP->>WS: process_step_finish_report(request)
WS->>WS: 增加接收计数
WS->>WS: 记录步骤完成事件
WS->>MAT: 更新相关物料状态
MAT->>MAT: 更新PyLabRobot资源
MAT-->>WS: 更新完成
WS->>DB: 保存报送记录
DB-->>WS: 保存完成
WS-->>HTTP: 返回处理结果
HTTP->>HTTP: 构造HTTP响应
HTTP-->>EXT: 200 OK + acknowledgment_id
Note over EXT,DB: 类似处理sample_finish, order_finish, material_change等报送
```
## 6. 错误处理时序图
```mermaid
sequenceDiagram
participant DEV as Device
participant WS as WorkstationBase
participant COMM as CommunicationModule
participant HTTP as HTTPService
participant EXT as ExternalSystem
DEV->>WS: 设备错误事件
WS->>WS: handle_external_error(error_data)
WS->>WS: 记录错误历史
alt 关键错误
WS->>COMM: emergency_stop()
COMM->>COMM: 发送紧急停止命令
WS->>WS: 更新workflow_status = ERROR
else 普通错误
WS->>WS: 标记动作失败
WS->>WS: 触发重试逻辑
end
WS->>HTTP: 记录错误报送
HTTP->>EXT: 主动通知错误状态
WS-->>DEV: 错误处理完成
```
## 7. 典型工作站实现示例
### 7.1 PLC工作站实现
```python
class PLCWorkstation(WorkstationBase):
def _create_communication_module(self):
return PLCCommunication(self.communication_config)
def _create_material_management_module(self):
return PyLabRobotMaterialManager(
self.device_id,
self.deck_config,
self.resource_tracker
)
def _register_supported_workflows(self):
self.supported_workflows = {
"battery_assembly": WorkflowInfo(...),
"quality_check": WorkflowInfo(...)
}
```
### 7.2 报送接收工作站实现
```python
class ReportingWorkstation(WorkstationBase):
def _create_communication_module(self):
return DummyCommunication(self.communication_config)
def _create_material_management_module(self):
return SimpleMaterialManager(
self.device_id,
self.deck_config,
self.resource_tracker
)
def _register_supported_workflows(self):
self.supported_workflows = {
"data_collection": WorkflowInfo(...),
"report_processing": WorkflowInfo(...)
}
```
## 8. 核心接口说明
### 8.1 必须实现的抽象方法
- `_create_communication_module()`: 创建通信模块
- `_create_material_management_module()`: 创建物料管理模块
- `_register_supported_workflows()`: 注册支持的工作流
### 8.2 可重写的报送处理方法
- `process_step_finish_report()`: 步骤完成处理
- `process_sample_finish_report()`: 样本完成处理
- `process_order_finish_report()`: 订单完成处理
- `process_material_change_report()`: 物料变更处理
- `handle_external_error()`: 错误处理
### 8.3 工作流控制接口
- `start_workflow()`: 启动工作流
- `stop_workflow()`: 停止工作流
- `get_workflow_status()`: 获取状态
## 9. 配置参数说明
```python
workstation_config = {
"communication_config": {
"protocol": "modbus_tcp",
"host": "192.168.1.100",
"port": 502
},
"deck_config": {
"size_x": 1000.0,
"size_y": 1000.0,
"size_z": 500.0
},
"http_service_config": {
"enabled": True,
"host": "127.0.0.1",
"port": 8081
},
"communication_interfaces": {
"logical_device_1": CommunicationInterface(...)
}
}
```
这个架构设计支持:
1. **灵活的通信方式**: 通过CommunicationBase支持PLC、串口、以太网等
2. **多样的物料管理**: 支持PyLabRobot、Bioyond、简单物料系统
3. **统一的HTTP报送**: 基于LIMS协议的标准化报送接口
4. **完整的工作流控制**: 支持动态和静态工作流
5. **强大的错误处理**: 多层次的错误处理和恢复机制

588
example_devices.py Normal file
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@@ -0,0 +1,588 @@
"""
示例设备类文件,用于测试注册表编辑器
"""
import asyncio
from typing import Dict, Any, Optional, List
class SmartPumpController:
"""
智能泵控制器
支持多种泵送模式,具有高精度流量控制和自动校准功能。
适用于实验室自动化系统中的液体处理任务。
"""
def __init__(self, device_id: str = "smart_pump_01", port: str = "/dev/ttyUSB0"):
"""
初始化智能泵控制器
Args:
device_id: 设备唯一标识符
port: 通信端口
"""
self.device_id = device_id
self.port = port
self.is_connected = False
self.current_flow_rate = 0.0
self.total_volume_pumped = 0.0
self.calibration_factor = 1.0
self.pump_mode = "continuous" # continuous, volume, rate
def connect_device(self, timeout: int = 10) -> bool:
"""
连接到泵设备
Args:
timeout: 连接超时时间(秒)
Returns:
bool: 连接是否成功
"""
# 模拟连接过程
self.is_connected = True
return True
def disconnect_device(self) -> bool:
"""
断开设备连接
Returns:
bool: 断开连接是否成功
"""
self.is_connected = False
self.current_flow_rate = 0.0
return True
def set_flow_rate(self, flow_rate: float, units: str = "ml/min") -> bool:
"""
设置泵流速
Args:
flow_rate: 流速值
units: 流速单位
Returns:
bool: 设置是否成功
"""
if not self.is_connected:
return False
self.current_flow_rate = flow_rate
return True
async def pump_volume_async(self, volume: float, flow_rate: float) -> Dict[str, Any]:
"""
异步泵送指定体积的液体
Args:
volume: 目标体积 (mL)
flow_rate: 泵送流速 (mL/min)
Returns:
Dict: 包含操作结果的字典
"""
if not self.is_connected:
return {"success": False, "error": "设备未连接"}
# 计算泵送时间
pump_time = (volume / flow_rate) * 60 # 转换为秒
self.current_flow_rate = flow_rate
await asyncio.sleep(min(pump_time, 3.0)) # 模拟泵送过程
self.total_volume_pumped += volume
self.current_flow_rate = 0.0
return {
"success": True,
"pumped_volume": volume,
"actual_time": min(pump_time, 3.0),
"total_volume": self.total_volume_pumped,
}
def emergency_stop(self) -> bool:
"""
紧急停止泵
Returns:
bool: 停止是否成功
"""
self.current_flow_rate = 0.0
return True
def perform_calibration(self, reference_volume: float, measured_volume: float) -> bool:
"""
执行泵校准
Args:
reference_volume: 参考体积
measured_volume: 实际测量体积
Returns:
bool: 校准是否成功
"""
if measured_volume > 0:
self.calibration_factor = reference_volume / measured_volume
return True
return False
# 状态查询方法
def get_connection_status(self) -> str:
"""获取连接状态"""
return "connected" if self.is_connected else "disconnected"
def get_current_flow_rate(self) -> float:
"""获取当前流速 (mL/min)"""
return self.current_flow_rate
def get_total_volume(self) -> float:
"""获取累计泵送体积 (mL)"""
return self.total_volume_pumped
def get_calibration_factor(self) -> float:
"""获取校准因子"""
return self.calibration_factor
def get_pump_mode(self) -> str:
"""获取泵送模式"""
return self.pump_mode
def get_device_status(self) -> Dict[str, Any]:
"""获取设备完整状态信息"""
return {
"device_id": self.device_id,
"connected": self.is_connected,
"flow_rate": self.current_flow_rate,
"total_volume": self.total_volume_pumped,
"calibration_factor": self.calibration_factor,
"mode": self.pump_mode,
"running": self.current_flow_rate > 0,
}
class AdvancedTemperatureController:
"""
高级温度控制器
支持PID控制、多点温度监控和程序化温度曲线。
适用于需要精确温度控制的化学反应和材料处理过程。
"""
def __init__(self, controller_id: str = "temp_controller_01"):
"""
初始化温度控制器
Args:
controller_id: 控制器ID
"""
self.controller_id = controller_id
self.current_temperature = 25.0
self.target_temperature = 25.0
self.is_heating = False
self.is_cooling = False
self.pid_enabled = True
self.temperature_history: List[Dict] = []
def set_target_temperature(self, temperature: float, rate: float = 10.0) -> bool:
"""
设置目标温度
Args:
temperature: 目标温度 (°C)
rate: 升温/降温速率 (°C/min)
Returns:
bool: 设置是否成功
"""
self.target_temperature = temperature
return True
async def heat_to_temperature_async(
self, temperature: float, tolerance: float = 0.5, timeout: int = 600
) -> Dict[str, Any]:
"""
异步加热到指定温度
Args:
temperature: 目标温度 (°C)
tolerance: 温度容差 (°C)
timeout: 最大等待时间 (秒)
Returns:
Dict: 操作结果
"""
self.target_temperature = temperature
start_temp = self.current_temperature
if temperature > start_temp:
self.is_heating = True
elif temperature < start_temp:
self.is_cooling = True
# 模拟温度变化过程
steps = min(abs(temperature - start_temp) * 2, 20) # 计算步数
step_time = min(timeout / steps if steps > 0 else 1, 2.0) # 每步最多2秒
for step in range(int(steps)):
progress = (step + 1) / steps
self.current_temperature = start_temp + (temperature - start_temp) * progress
# 记录温度历史
self.temperature_history.append(
{
"timestamp": asyncio.get_event_loop().time(),
"temperature": self.current_temperature,
"target": self.target_temperature,
}
)
await asyncio.sleep(step_time)
# 保持历史记录不超过100条
if len(self.temperature_history) > 100:
self.temperature_history.pop(0)
# 最终设置为目标温度
self.current_temperature = temperature
self.is_heating = False
self.is_cooling = False
return {
"success": True,
"final_temperature": self.current_temperature,
"start_temperature": start_temp,
"time_taken": steps * step_time,
}
def enable_pid_control(self, kp: float = 1.0, ki: float = 0.1, kd: float = 0.05) -> bool:
"""
启用PID控制
Args:
kp: 比例增益
ki: 积分增益
kd: 微分增益
Returns:
bool: 启用是否成功
"""
self.pid_enabled = True
return True
def run_temperature_program(self, program: List[Dict]) -> bool:
"""
运行温度程序
Args:
program: 温度程序列表,每个元素包含温度和持续时间
Returns:
bool: 程序启动是否成功
"""
# 模拟程序启动
return True
# 状态查询方法
def get_current_temperature(self) -> float:
"""获取当前温度 (°C)"""
return round(self.current_temperature, 2)
def get_target_temperature(self) -> float:
"""获取目标温度 (°C)"""
return self.target_temperature
def get_heating_status(self) -> bool:
"""获取加热状态"""
return self.is_heating
def get_cooling_status(self) -> bool:
"""获取制冷状态"""
return self.is_cooling
def get_pid_status(self) -> bool:
"""获取PID控制状态"""
return self.pid_enabled
def get_temperature_history(self) -> List[Dict]:
"""获取温度历史记录"""
return self.temperature_history[-10:] # 返回最近10条记录
def get_controller_status(self) -> Dict[str, Any]:
"""获取控制器完整状态"""
return {
"controller_id": self.controller_id,
"current_temp": self.current_temperature,
"target_temp": self.target_temperature,
"is_heating": self.is_heating,
"is_cooling": self.is_cooling,
"pid_enabled": self.pid_enabled,
"history_count": len(self.temperature_history),
}
class MultiChannelAnalyzer:
"""
多通道分析仪
支持同时监测多个通道的信号,提供实时数据采集和分析功能。
常用于光谱分析、电化学测量等应用场景。
"""
def __init__(self, analyzer_id: str = "analyzer_01", channels: int = 8):
"""
初始化多通道分析仪
Args:
analyzer_id: 分析仪ID
channels: 通道数量
"""
self.analyzer_id = analyzer_id
self.channel_count = channels
self.channel_data = {i: {"value": 0.0, "unit": "V", "enabled": True} for i in range(channels)}
self.is_measuring = False
self.sample_rate = 1000 # Hz
def configure_channel(self, channel: int, enabled: bool = True, unit: str = "V") -> bool:
"""
配置通道
Args:
channel: 通道编号
enabled: 是否启用
unit: 测量单位
Returns:
bool: 配置是否成功
"""
if 0 <= channel < self.channel_count:
self.channel_data[channel]["enabled"] = enabled
self.channel_data[channel]["unit"] = unit
return True
return False
async def start_measurement_async(self, duration: int = 10) -> Dict[str, Any]:
"""
开始异步测量
Args:
duration: 测量持续时间(秒)
Returns:
Dict: 测量结果
"""
self.is_measuring = True
# 模拟数据采集
measurements = []
for second in range(duration):
timestamp = asyncio.get_event_loop().time()
frame_data = {}
for channel in range(self.channel_count):
if self.channel_data[channel]["enabled"]:
# 模拟传感器数据
import random
value = random.uniform(-5.0, 5.0)
frame_data[f"channel_{channel}"] = value
self.channel_data[channel]["value"] = value
measurements.append({"timestamp": timestamp, "data": frame_data})
await asyncio.sleep(1.0) # 每秒采集一次
self.is_measuring = False
return {
"success": True,
"duration": duration,
"samples_count": len(measurements),
"measurements": measurements[-5:], # 只返回最后5个样本
"channels_active": len([ch for ch in self.channel_data.values() if ch["enabled"]]),
}
def stop_measurement(self) -> bool:
"""
停止测量
Returns:
bool: 停止是否成功
"""
self.is_measuring = False
return True
def reset_channels(self) -> bool:
"""
重置所有通道
Returns:
bool: 重置是否成功
"""
for channel in self.channel_data:
self.channel_data[channel]["value"] = 0.0
return True
# 状态查询方法
def get_measurement_status(self) -> bool:
"""获取测量状态"""
return self.is_measuring
def get_channel_count(self) -> int:
"""获取通道数量"""
return self.channel_count
def get_sample_rate(self) -> float:
"""获取采样率 (Hz)"""
return self.sample_rate
def get_channel_values(self) -> Dict[int, float]:
"""获取所有通道的当前值"""
return {ch: data["value"] for ch, data in self.channel_data.items() if data["enabled"]}
def get_enabled_channels(self) -> List[int]:
"""获取已启用的通道列表"""
return [ch for ch, data in self.channel_data.items() if data["enabled"]]
def get_analyzer_status(self) -> Dict[str, Any]:
"""获取分析仪完整状态"""
return {
"analyzer_id": self.analyzer_id,
"channel_count": self.channel_count,
"is_measuring": self.is_measuring,
"sample_rate": self.sample_rate,
"active_channels": len(self.get_enabled_channels()),
"channel_data": self.channel_data,
}
class AutomatedDispenser:
"""
自动分配器
精确控制固体和液体材料的分配,支持多种分配模式和容器管理。
集成称重功能,确保分配精度和重现性。
"""
def __init__(self, dispenser_id: str = "dispenser_01"):
"""
初始化自动分配器
Args:
dispenser_id: 分配器ID
"""
self.dispenser_id = dispenser_id
self.is_ready = True
self.current_position = {"x": 0.0, "y": 0.0, "z": 0.0}
self.dispensed_total = 0.0
self.container_capacity = 1000.0 # mL
self.precision_mode = True
def move_to_position(self, x: float, y: float, z: float) -> bool:
"""
移动到指定位置
Args:
x: X坐标 (mm)
y: Y坐标 (mm)
z: Z坐标 (mm)
Returns:
bool: 移动是否成功
"""
self.current_position = {"x": x, "y": y, "z": z}
return True
async def dispense_liquid_async(self, volume: float, container_id: str, viscosity: str = "low") -> Dict[str, Any]:
"""
异步分配液体
Args:
volume: 分配体积 (mL)
container_id: 容器ID
viscosity: 液体粘度等级
Returns:
Dict: 分配结果
"""
if not self.is_ready:
return {"success": False, "error": "设备未就绪"}
if volume <= 0:
return {"success": False, "error": "体积必须大于0"}
# 模拟分配过程
dispense_time = volume * 0.1 # 每mL需要0.1秒
if viscosity == "high":
dispense_time *= 2 # 高粘度液体需要更长时间
await asyncio.sleep(min(dispense_time, 5.0)) # 最多等待5秒
self.dispensed_total += volume
return {
"success": True,
"dispensed_volume": volume,
"container_id": container_id,
"actual_time": min(dispense_time, 5.0),
"total_dispensed": self.dispensed_total,
}
def clean_dispenser(self, wash_volume: float = 5.0) -> bool:
"""
清洗分配器
Args:
wash_volume: 清洗液体积 (mL)
Returns:
bool: 清洗是否成功
"""
# 模拟清洗过程
return True
def calibrate_volume(self, target_volume: float) -> bool:
"""
校准分配体积
Args:
target_volume: 校准目标体积 (mL)
Returns:
bool: 校准是否成功
"""
# 模拟校准过程
return True
# 状态查询方法
def get_ready_status(self) -> bool:
"""获取就绪状态"""
return self.is_ready
def get_current_position(self) -> Dict[str, float]:
"""获取当前位置坐标"""
return self.current_position.copy()
def get_dispensed_total(self) -> float:
"""获取累计分配体积 (mL)"""
return self.dispensed_total
def get_container_capacity(self) -> float:
"""获取容器容量 (mL)"""
return self.container_capacity
def get_precision_mode(self) -> bool:
"""获取精密模式状态"""
return self.precision_mode
def get_dispenser_status(self) -> Dict[str, Any]:
"""获取分配器完整状态"""
return {
"dispenser_id": self.dispenser_id,
"ready": self.is_ready,
"position": self.current_position,
"dispensed_total": self.dispensed_total,
"capacity": self.container_capacity,
"precision_mode": self.precision_mode,
}

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@@ -1,6 +1,6 @@
package:
name: ros-humble-unilabos-msgs
version: 0.10.3
version: 0.10.4
source:
path: ../../unilabos_msgs
target_directory: src

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@@ -1,6 +1,6 @@
package:
name: unilabos
version: "0.10.3"
version: "0.10.4"
source:
path: ../..

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@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup(
name=package_name,
version='0.10.3',
version='0.10.4',
packages=find_packages(),
include_package_data=True,
install_requires=['setuptools'],

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@@ -49,7 +49,6 @@
"config": {
"protocol_type": [
"AddProtocol",
"TransferProtocol",
"StartStirProtocol",
"StopStirProtocol",
"StirProtocol",
@@ -171,12 +170,15 @@
"z": 0
},
"config": {
"volume": 1000.0,
"reagent": "DMF"
"max_volume": 1000.0
},
"data": {
"current_volume": 1000.0,
"reagent_name": "DMF"
"liquids": [
{
"liquid_type": "DMF",
"liquid_volume": 1000.0
}
]
}
},
{
@@ -192,12 +194,15 @@
"z": 0
},
"config": {
"volume": 1000.0,
"reagent": "ethyl_acetate"
"max_volume": 1000.0
},
"data": {
"current_volume": 1000.0,
"reagent_name": "ethyl_acetate"
"liquids": [
{
"liquid_type": "ethyl_acetate",
"liquid_volume": 1000.0
}
]
}
},
{
@@ -213,12 +218,15 @@
"z": 0
},
"config": {
"volume": 1000.0,
"reagent": "hexane"
"max_volume": 1000.0
},
"data": {
"current_volume": 1000.0,
"reagent_name": "hexane"
"liquids": [
{
"liquid_type": "hexane",
"liquid_volume": 1000.0
}
]
}
},
{
@@ -234,12 +242,15 @@
"z": 0
},
"config": {
"volume": 1000.0,
"reagent": "methanol"
"max_volume": 1000.0
},
"data": {
"current_volume": 1000.0,
"reagent_name": "methanol"
"liquids": [
{
"liquid_type": "methanol",
"liquid_volume": 1000.0
}
]
}
},
{
@@ -255,12 +266,15 @@
"z": 0
},
"config": {
"volume": 1000.0,
"reagent": "water"
"max_volume": 1000.0
},
"data": {
"current_volume": 1000.0,
"reagent_name": "water"
"liquids": [
{
"liquid_type": "water",
"liquid_volume": 1000.0
}
]
}
},
{
@@ -320,15 +334,15 @@
"z": 0
},
"config": {
"volume": 500.0,
"max_volume": 500.0,
"max_temp": 200.0,
"min_temp": -20.0,
"has_stirrer": true,
"has_heater": true
},
"data": {
"current_volume": 0.0,
"current_temp": 25.0
"liquids": [
]
}
},
{
@@ -405,10 +419,11 @@
"z": 0
},
"config": {
"volume": 2000.0
"max_volume": 2000.0
},
"data": {
"current_volume": 0.0
"liquids": [
]
}
},
{
@@ -424,10 +439,11 @@
"z": 0
},
"config": {
"volume": 2000.0
"max_volume": 2000.0
},
"data": {
"current_volume": 0.0
"liquids": [
]
}
},
{
@@ -633,10 +649,11 @@
"z": 0
},
"config": {
"volume": 250.0
"max_volume": 250.0
},
"data": {
"current_volume": 0.0
"liquids": [
]
}
},
{
@@ -652,10 +669,11 @@
"z": 0
},
"config": {
"volume": 250.0
"max_volume": 250.0
},
"data": {
"current_volume": 0.0
"liquids": [
]
}
},
{
@@ -671,10 +689,11 @@
"z": 0
},
"config": {
"volume": 250.0
"max_volume": 250.0
},
"data": {
"current_volume": 0.0
"liquids": [
]
}
},
{
@@ -713,7 +732,7 @@
"z": 0
},
"config": {
"volume": 500.0,
"max_volume": 500.0,
"reagent": "sodium_chloride",
"physical_state": "solid"
},
@@ -1077,7 +1096,7 @@
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_1": "top",
"solid_reagent_bottle_1": "bottom",
"solid_dispenser_1": "SolidIn"
}
},
@@ -1087,7 +1106,7 @@
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_2": "top",
"solid_reagent_bottle_2": "bottom",
"solid_dispenser_1": "SolidIn"
}
},
@@ -1097,7 +1116,7 @@
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_3": "top",
"solid_reagent_bottle_3": "bottom",
"solid_dispenser_1": "SolidIn"
}
}

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@@ -14,8 +14,8 @@
"type": "device",
"class": "workstation",
"position": {
"x": 620.6111111111111,
"y": 171,
"x": 0,
"y": 0,
"z": 0
},
"config": {

View File

@@ -1,8 +1,8 @@
{
"nodes": [
{
"id": "PLR_STATION",
"name": "PLR_LH_TEST",
"id": "liquid_handler",
"name": "liquid_handler",
"parent": null,
"type": "device",
"class": "liquid_handler",
@@ -37,7 +37,7 @@
"tip_rack",
"plate_well"
],
"parent": "PLR_STATION",
"parent": "liquid_handler",
"type": "deck",
"class": "OTDeck",
"position": {
@@ -9650,7 +9650,7 @@
"children": [],
"parent": null,
"type": "device",
"class": "moveit.arm_slider",
"class": "robotic_arm.SCARA_with_slider.virtual",
"position": {
"x": -500,
"y": 1000,

View File

@@ -8,7 +8,7 @@
"children": [],
"parent": null,
"type": "device",
"class": "moveit.arm_slider",
"class": "robotic_arm.SCARA_with_slider.virtual",
"position": {
"x": -500,
"y": 1000,

View File

@@ -0,0 +1,949 @@
{
"nodes": [
{
"id": "simple_station",
"name": "愚公常量合成工作站",
"children": [
"serial_pump",
"pump_reagents",
"pump_workup",
"flask_CH2Cl2",
"waste_workup",
"separator_controller",
"flask_separator",
"flask_air"
],
"parent": null,
"type": "device",
"class": "workstation",
"position": {
"x": 620.6111111111111,
"y": 171,
"z": 0
},
"config": {
"protocol_type": ["PumpTransferProtocol", "CleanProtocol", "SeparateProtocol", "EvaporateProtocol"]
},
"data": {
}
},
{
"id": "serial_pump",
"name": "serial_pump",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "serial",
"position": {
"x": 620.6111111111111,
"y": 171,
"z": 0
},
"config": {
"port": "COM7",
"baudrate": 9600
},
"data": {
}
},
{
"id": "pump_reagents",
"name": "pump_reagents",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "syringepump.runze",
"position": {
"x": 620.6111111111111,
"y": 171,
"z": 0
},
"config": {
"port": "/devices/PumpBackbone/Serial/serialwrite",
"address": "1",
"max_volume": 25.0
},
"data": {
"max_velocity": 1.0,
"position": 0.0,
"status": "Idle",
"valve_position": "0"
}
},
{
"id": "flask_CH2Cl2",
"name": "flask_CH2Cl2",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 430.4087301587302,
"y": 428,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "CH2Cl2",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "flask_acetone",
"name": "flask_acetone",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 295.36944444444447,
"y": 428,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "acetone",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "flask_NH4Cl",
"name": "flask_NH4Cl",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 165.36944444444444,
"y": 428,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "NH4Cl",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "flask_grignard",
"name": "flask_grignard",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 165.36944444444444,
"y": 428,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "grignard",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "flask_THF",
"name": "flask_THF",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 35,
"y": 428,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "THF",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "reactor",
"name": "reactor",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 698.1111111111111,
"y": 428,
"z": 0
},
"config": {
"max_volume": 5000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "stirrer",
"name": "stirrer",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "heaterstirrer.dalong",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"port": "COM43",
"temp_warning": 60.0
},
"data": {
"status": "Idle",
"temp": 0.0,
"stir_speed": 0.0
}
},
{
"id": "pump_workup",
"name": "pump_workup",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "syringepump.runze",
"position": {
"x": 1195.611507936508,
"y": 686,
"z": 0
},
"config": {
"port": "/devices/PumpBackbone/Serial/serialwrite",
"address": "2",
"max_volume": 25.0
},
"data": {
"max_velocity": 1.0,
"position": 0.0,
"status": "Idle",
"valve_position": "0"
}
},
{
"id": "waste_workup",
"name": "waste_workup",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1587.703373015873,
"y": 1172.5,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "separator_controller",
"name": "separator_controller",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "separator.homemade",
"position": {
"x": 1624.4027777777778,
"y": 665.5,
"z": 0
},
"config": {
"port_executor": "/dev/tty.usbserial-11140",
"port_sensor": "/dev/tty.usbserial-11130"
},
"data": {
"sensordata": 0.0,
"status": "Idle"
}
},
{
"id": "flask_separator",
"name": "flask_separator",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1614.404365079365,
"y": 948,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "flask_holding",
"name": "flask_holding",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1915.7035714285714,
"y": 665.5,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "flask_H2O",
"name": "flask_H2O",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1785.7035714285714,
"y": 665.5,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "H2O",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "flask_NaHCO3",
"name": "flask_NaHCO3",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 2054.0650793650793,
"y": 665.5,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
{
"liquid_type": "NaHCO3",
"liquid_volume": 1500.0
}
]
}
},
{
"id": "pump_column",
"name": "pump_column",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "syringepump.runze",
"position": {
"x": 1630.6527777777778,
"y": 448.5,
"z": 0
},
"config": {
"port": "/devices/PumpBackbone/Serial/serialwrite",
"address": "3",
"max_volume": 25.0
},
"data": {
"max_velocity": 1.0,
"position": 0.0,
"status": "Idle",
"valve_position": "0"
}
},
{
"id": "rotavap",
"name": "rotavap",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "rotavap",
"position": {
"x": 1339.7031746031746,
"y": 968.5,
"z": 0
},
"config": {
"port": "COM15"
},
"data": {
"temperature": 0.0,
"rotate_time": 0.0,
"status": "Idle"
}
},
{
"id": "flask_rv",
"name": "flask_rv",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1339.7031746031746,
"y": 1152,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "column",
"name": "column",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 909.722619047619,
"y": 948,
"z": 0
},
"config": {
"max_volume": 200.0
},
"data": {
"liquid": [
]
}
},
{
"id": "flask_column",
"name": "flask_column",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 867.972619047619,
"y": 1152,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "flask_air",
"name": "flask_air",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 742.722619047619,
"y": 948,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "dry_column",
"name": "dry_column",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1206.722619047619,
"y": 948,
"z": 0
},
"config": {
"max_volume": 200.0
},
"data": {
"liquid": [
]
}
},
{
"id": "flask_dry_column",
"name": "flask_dry_column",
"children": [],
"parent": "simple_station",
"type": "container",
"class": null,
"position": {
"x": 1148.222619047619,
"y": 1152,
"z": 0
},
"config": {
"max_volume": 2000.0
},
"data": {
"liquid": [
]
}
},
{
"id": "pump_ext",
"name": "pump_ext",
"children": [],
"parent": "simple_station",
"type": "device",
"class": "syringepump.runze",
"position": {
"x": 1469.7031746031746,
"y": 968.5,
"z": 0
},
"config": {
"port": "/devices/PumpBackbone/Serial/serialwrite",
"address": "4",
"max_volume": 25.0
},
"data": {
"max_velocity": 1.0,
"position": 0.0,
"status": "Idle",
"valve_position": "0"
}
},
{
"id": "AGV",
"name": "AGV",
"children": ["zhixing_agv", "zhixing_ur_arm"],
"parent": null,
"type": "device",
"class": "workstation",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"protocol_type": ["AGVTransferProtocol"]
},
"data": {
}
},
{
"id": "zhixing_agv",
"name": "zhixing_agv",
"children": [],
"parent": "AGV",
"type": "device",
"class": "zhixing_agv",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"host": "192.168.1.42"
},
"data": {
}
},
{
"id": "zhixing_ur_arm",
"name": "zhixing_ur_arm",
"children": [],
"parent": "AGV",
"type": "device",
"class": "zhixing_ur_arm",
"position": {
"x": 698.1111111111111,
"y": 478,
"z": 0
},
"config": {
"host": "192.168.1.178"
},
"data": {
}
}
],
"links": [
{
"source": "pump_reagents",
"target": "serial_pump",
"type": "communication",
"port": {
"pump_reagents": "port",
"serial_pump": "port"
}
},
{
"source": "pump_workup",
"target": "serial_pump",
"type": "communication",
"port": {
"pump_reagents": "port",
"serial_pump": "port"
}
},
{
"source": "pump_column",
"target": "serial_pump",
"type": "communication",
"port": {
"pump_reagents": "port",
"serial_pump": "port"
}
},
{
"source": "pump_ext",
"target": "serial_pump",
"type": "communication",
"port": {
"pump_reagents": "port",
"serial_pump": "port"
}
},
{
"source": "reactor",
"target": "pump_reagents",
"type": "physical",
"port": {
"reactor": "top",
"pump_reagents": "5"
}
},
{
"source": "rotavap",
"target": "flask_rv",
"type": "physical",
"port": {
"rotavap": "bottom",
"flask_rv": "top"
}
},
{
"source": "separator_controller",
"target": "flask_separator",
"type": "physical",
"port": {
"separator_controller": "bottom",
"flask_separator": "top"
}
},
{
"source": "column",
"target": "flask_column",
"type": "physical",
"port": {
"column": "bottom",
"flask_column": "top"
}
},
{
"source": "dry_column",
"target": "flask_dry_column",
"type": "physical",
"port": {
"dry_column": "bottom",
"flask_dry_column": "top"
}
},
{
"source": "pump_ext",
"target": "pump_column",
"type": "physical",
"port": {
"pump_ext": "8",
"pump_column": "1"
}
},
{
"source": "pump_ext",
"target": "waste_workup",
"type": "physical",
"port": {
"pump_ext": "2",
"waste_workup": "-1"
}
},
{
"source": "pump_reagents",
"target": "flask_THF",
"type": "physical",
"port": {
"pump_reagents": "7",
"flask_THF": "top"
}
},
{
"source": "pump_reagents",
"target": "flask_NH4Cl",
"type": "physical",
"port": {
"pump_reagents": "4",
"flask_NH4Cl": "top"
}
},
{
"source": "pump_reagents",
"target": "flask_CH2Cl2",
"type": "physical",
"port": {
"pump_reagents": "2",
"flask_CH2Cl2": "top"
}
},
{
"source": "pump_reagents",
"target": "flask_acetone",
"type": "physical",
"port": {
"pump_reagents": "3",
"flask_acetone": "top"
}
},
{
"source": "pump_reagents",
"target": "pump_workup",
"type": "physical",
"port": {
"pump_reagents": "1",
"pump_workup": "8"
}
},
{
"source": "pump_reagents",
"target": "flask_grignard",
"type": "physical",
"port": {
"pump_reagents": "6",
"flask_grignard": "top"
}
},
{
"source": "pump_reagents",
"target": "reactor",
"type": "physical",
"port": {
"pump_reagents": "5",
"reactor": "top"
}
},
{
"source": "pump_reagents",
"target": "flask_air",
"type": "physical",
"port": {
"pump_reagents": "8",
"flask_air": "-1"
}
},
{
"source": "pump_workup",
"target": "waste_workup",
"type": "physical",
"port": {
"pump_workup": "2",
"waste_workup": "-1"
}
},
{
"source": "pump_workup",
"target": "flask_H2O",
"type": "physical",
"port": {
"pump_workup": "7",
"flask_H2O": "top"
}
},
{
"source": "pump_workup",
"target": "flask_NaHCO3",
"type": "physical",
"port": {
"pump_workup": "6",
"flask_NaHCO3": "top"
}
},
{
"source": "pump_workup",
"target": "pump_reagents",
"type": "physical",
"port": {
"pump_workup": "8",
"pump_reagents": "1"
}
},
{
"source": "pump_workup",
"target": "flask_holding",
"type": "physical",
"port": {
"pump_workup": "5",
"flask_holding": "top"
}
},
{
"source": "pump_workup",
"target": "separator_controller",
"type": "physical",
"port": {
"pump_workup": "4",
"separator_controller": "top"
}
},
{
"source": "pump_workup",
"target": "flask_separator",
"type": "physical",
"port": {
"pump_workup": "3",
"flask_separator": "top"
}
},
{
"source": "pump_workup",
"target": "pump_column",
"type": "physical",
"port": {
"pump_workup": "1",
"pump_column": "8"
}
},
{
"source": "pump_column",
"target": "column",
"type": "physical",
"port": {
"pump_column": "4",
"column": "top"
}
},
{
"source": "pump_column",
"target": "flask_column",
"type": "physical",
"port": {
"pump_column": "3",
"flask_column": "top"
}
},
{
"source": "pump_column",
"target": "rotavap",
"type": "physical",
"port": {
"pump_column": "2",
"rotavap": "-1"
}
},
{
"source": "pump_column",
"target": "pump_workup",
"type": "physical",
"port": {
"pump_column": "8",
"pump_workup": "1"
}
},
{
"source": "pump_column",
"target": "flask_air",
"type": "physical",
"port": {
"pump_column": "5",
"flask_air": "-1"
}
},
{
"source": "pump_column",
"target": "dry_column",
"type": "physical",
"port": {
"pump_column": "7",
"dry_column": "top"
}
},
{
"source": "pump_column",
"target": "flask_dry_column",
"type": "physical",
"port": {
"pump_column": "6",
"flask_dry_column": "top"
}
},
{
"source": "pump_column",
"target": "pump_ext",
"type": "physical",
"port": {
"pump_column": "1",
"pump_ext": "8"
}
}
]
}

View File

@@ -34,7 +34,7 @@ dependencies:
- uvicorn
- gradio
- flask
- websocket
- websockets
# Notebook
- ipython
- jupyter

View File

@@ -34,7 +34,7 @@ dependencies:
- uvicorn
- gradio
- flask
- websocket
- websockets
# Notebook
- ipython
- jupyter

View File

@@ -35,8 +35,7 @@ dependencies:
- uvicorn
- gradio
- flask
- websocket
- paho-mqtt
- websockets
# Notebook
- ipython
- jupyter

View File

@@ -34,7 +34,7 @@ dependencies:
- uvicorn
- gradio
- flask
- websocket
- websockets
# Notebook
- ipython
- jupyter

View File

@@ -0,0 +1,204 @@
#!/usr/bin/env python
# coding=utf-8
"""
通信模块
提供MQTT和WebSocket的统一接口支持通过配置选择通信协议。
包含通信抽象层基类和通信客户端工厂。
"""
from abc import ABC, abstractmethod
from typing import Optional
from unilabos.config.config import BasicConfig
from unilabos.utils import logger
class BaseCommunicationClient(ABC):
"""
通信客户端抽象基类
定义了所有通信客户端MQTT、WebSocket等需要实现的接口。
"""
def __init__(self):
self.is_disabled = True
self.client_id = ""
@abstractmethod
def start(self) -> None:
"""
启动通信客户端连接
"""
pass
@abstractmethod
def stop(self) -> None:
"""
停止通信客户端连接
"""
pass
@abstractmethod
def publish_device_status(self, device_status: dict, device_id: str, property_name: str) -> None:
"""
发布设备状态信息
Args:
device_status: 设备状态字典
device_id: 设备ID
property_name: 属性名称
"""
pass
@abstractmethod
def publish_job_status(
self, feedback_data: dict, job_id: str, status: str, return_info: Optional[str] = None
) -> None:
"""
发布作业状态信息
Args:
feedback_data: 反馈数据
job_id: 作业ID
status: 作业状态
return_info: 返回信息
"""
pass
@abstractmethod
def send_ping(self, ping_id: str, timestamp: float) -> None:
"""
发送ping消息
Args:
ping_id: ping ID
timestamp: 时间戳
"""
pass
def setup_pong_subscription(self) -> None:
"""
设置pong消息订阅可选实现
"""
pass
@property
def is_connected(self) -> bool:
"""
检查是否已连接
Returns:
是否已连接
"""
return not self.is_disabled
class CommunicationClientFactory:
"""
通信客户端工厂类
根据配置文件中的通信协议设置创建相应的客户端实例。
"""
_client_cache: Optional[BaseCommunicationClient] = None
@classmethod
def create_client(cls, protocol: Optional[str] = None) -> BaseCommunicationClient:
"""
创建通信客户端实例
Args:
protocol: 指定的协议类型如果为None则使用配置文件中的设置
Returns:
通信客户端实例
Raises:
ValueError: 当协议类型不支持时
"""
if protocol is None:
protocol = BasicConfig.communication_protocol
protocol = protocol.lower()
if protocol == "mqtt":
return cls._create_mqtt_client()
elif protocol == "websocket":
return cls._create_websocket_client()
else:
logger.error(f"[CommunicationFactory] Unsupported protocol: {protocol}")
logger.warning(f"[CommunicationFactory] Falling back to MQTT")
return cls._create_mqtt_client()
@classmethod
def get_client(cls, protocol: Optional[str] = None) -> BaseCommunicationClient:
"""
获取通信客户端实例(单例模式)
Args:
protocol: 指定的协议类型如果为None则使用配置文件中的设置
Returns:
通信客户端实例
"""
if cls._client_cache is None:
cls._client_cache = cls.create_client(protocol)
logger.info(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
return cls._client_cache
@classmethod
def _create_mqtt_client(cls) -> BaseCommunicationClient:
"""创建MQTT客户端"""
try:
from unilabos.app.mq import mqtt_client
return mqtt_client
except Exception as e:
logger.error(f"[CommunicationFactory] Failed to create MQTT client: {str(e)}")
raise
@classmethod
def _create_websocket_client(cls) -> BaseCommunicationClient:
"""创建WebSocket客户端"""
try:
from unilabos.app.ws_client import WebSocketClient
return WebSocketClient()
except Exception as e:
logger.error(f"[CommunicationFactory] Failed to create WebSocket client: {str(e)}")
logger.warning(f"[CommunicationFactory] Falling back to MQTT")
return cls._create_mqtt_client()
@classmethod
def reset_client(cls):
"""重置客户端缓存(用于测试或重新配置)"""
if cls._client_cache:
try:
cls._client_cache.stop()
except Exception as e:
logger.warning(f"[CommunicationFactory] Error stopping old client: {str(e)}")
cls._client_cache = None
logger.info("[CommunicationFactory] Client cache reset")
@classmethod
def get_supported_protocols(cls) -> list[str]:
"""
获取支持的协议列表
Returns:
支持的协议列表
"""
return ["mqtt", "websocket"]
def get_communication_client(protocol: Optional[str] = None) -> BaseCommunicationClient:
"""
获取通信客户端实例的便捷函数
Args:
protocol: 指定的协议类型如果为None则使用配置文件中的设置
Returns:
通信客户端实例
"""
return CommunicationClientFactory.get_client(protocol)

View File

@@ -10,7 +10,6 @@ from copy import deepcopy
import yaml
from unilabos.resources.graphio import modify_to_backend_format
# 首先添加项目根目录到路径
current_dir = os.path.dirname(os.path.abspath(__file__))
@@ -20,6 +19,7 @@ if unilabos_dir not in sys.path:
from unilabos.config.config import load_config, BasicConfig
from unilabos.utils.banner_print import print_status, print_unilab_banner
from unilabos.resources.graphio import modify_to_backend_format
def load_config_from_file(config_path, override_labid=None):
@@ -95,6 +95,11 @@ def parse_args():
action="store_true",
help="启动unilab时同时报送注册表信息",
)
parser.add_argument(
"--use_remote_resource",
action="store_true",
help="启动unilab时使用远程资源启动",
)
parser.add_argument(
"--config",
type=str,
@@ -129,6 +134,23 @@ def parse_args():
default="",
help="实验室唯一ID也可通过环境变量 UNILABOS_MQCONFIG_LABID 设置或传入--config设置",
)
parser.add_argument(
"--ak",
type=str,
default="",
help="实验室请求的ak",
)
parser.add_argument(
"--sk",
type=str,
default="",
help="实验室请求的sk",
)
parser.add_argument(
"--websocket",
action="store_true",
help="使用websocket而非mqtt作为通信协议",
)
parser.add_argument(
"--skip_env_check",
action="store_true",
@@ -162,7 +184,7 @@ def main():
else:
working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
if args_dict.get("working_dir"):
working_dir = args_dict.get("working_dir")
working_dir = args_dict.get("working_dir", "")
if config_path and not os.path.exists(config_path):
config_path = os.path.join(working_dir, "local_config.py")
if not os.path.exists(config_path):
@@ -171,6 +193,8 @@ def main():
"error",
)
os._exit(1)
elif config_path and os.path.exists(config_path):
working_dir = os.path.dirname(config_path)
elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
config_path = os.path.join(working_dir, "local_config.py")
elif not config_path and (
@@ -193,11 +217,25 @@ def main():
print_status(f"当前工作目录为 {working_dir}", "info")
load_config_from_file(config_path, args_dict["labid"])
if args_dict["use_remote_resource"]:
print_status("使用远程资源启动", "info")
from unilabos.app.web import http_client
res = http_client.resource_get("host_node", False)
if str(res.get("code", 0)) == "0" and len(res.get("data", [])) > 0:
print_status("远程资源已存在,使用云端物料!", "info")
args_dict["graph"] = None
else:
print_status("远程资源不存在,本地将进行首次上报!", "info")
# 设置BasicConfig参数
BasicConfig.ak = args_dict.get("ak", "")
BasicConfig.sk = args_dict.get("sk", "")
BasicConfig.working_dir = working_dir
BasicConfig.is_host_mode = not args_dict.get("without_host", False)
BasicConfig.slave_no_host = args_dict.get("slave_no_host", False)
BasicConfig.upload_registry = args_dict.get("upload_registry", False)
BasicConfig.communication_protocol = "websocket" if args_dict.get("websocket", False) else "mqtt"
machine_name = os.popen("hostname").read().strip()
machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
BasicConfig.machine_name = machine_name
@@ -210,7 +248,7 @@ def main():
dict_to_nested_dict,
initialize_resources,
)
from unilabos.app.mq import mqtt_client
from unilabos.app.communication import get_communication_client
from unilabos.registry.registry import build_registry
from unilabos.app.backend import start_backend
from unilabos.app.web import http_client
@@ -220,7 +258,7 @@ def main():
print_unilab_banner(args_dict)
# 注册表
build_registry(args_dict["registry_path"])
lab_registry = build_registry(args_dict["registry_path"], False, args_dict["upload_registry"])
if args_dict["graph"] is None:
request_startup_json = http_client.request_startup_json()
if not request_startup_json:
@@ -241,6 +279,27 @@ def main():
graph_res.physical_setup_graph = graph
resource_edge_info = modify_to_backend_format(data["links"])
materials = lab_registry.obtain_registry_resource_info()
materials.extend(lab_registry.obtain_registry_device_info())
materials = {k["id"]: k for k in materials}
nodes = {k["id"]: k for k in data["nodes"]}
edge_info = len(resource_edge_info)
for ind, i in enumerate(resource_edge_info[::-1]):
source_node = nodes[i["source"]]
target_node = nodes[i["target"]]
source_handle = i["sourceHandle"]
target_handle = i["targetHandle"]
source_handler_keys = [h["handler_key"] for h in materials[source_node["class"]]["handles"] if h["io_type"] == 'source']
target_handler_keys = [h["handler_key"] for h in materials[target_node["class"]]["handles"] if h["io_type"] == 'target']
if not source_handle in source_handler_keys:
print_status(f"节点 {source_node['id']} 的source端点 {source_handle} 不存在,请检查,支持的端点 {source_handler_keys}", "error")
resource_edge_info.pop(edge_info - ind - 1)
continue
if not target_handle in target_handler_keys:
print_status(f"节点 {target_node['id']} 的target端点 {target_handle} 不存在,请检查,支持的端点 {target_handler_keys}", "error")
resource_edge_info.pop(edge_info - ind - 1)
continue
devices_and_resources = dict_from_graph(graph_res.physical_setup_graph)
# args_dict["resources_config"] = initialize_resources(list(deepcopy(devices_and_resources).values()))
args_dict["resources_config"] = list(devices_and_resources.values())
@@ -258,19 +317,22 @@ def main():
args_dict["bridges"] = []
# 获取通信客户端根据配置选择MQTT或WebSocket
comm_client = get_communication_client()
if "mqtt" in args_dict["app_bridges"]:
args_dict["bridges"].append(mqtt_client)
args_dict["bridges"].append(comm_client)
if "fastapi" in args_dict["app_bridges"]:
args_dict["bridges"].append(http_client)
if "mqtt" in args_dict["app_bridges"]:
def _exit(signum, frame):
mqtt_client.stop()
comm_client.stop()
sys.exit(0)
signal.signal(signal.SIGINT, _exit)
signal.signal(signal.SIGTERM, _exit)
mqtt_client.start()
comm_client.start()
args_dict["resources_mesh_config"] = {}
args_dict["resources_edge_config"] = resource_edge_info
# web visiualize 2D

View File

@@ -50,11 +50,16 @@ class Resp(BaseModel):
class JobAddReq(BaseModel):
device_id: str = Field(examples=["Gripper"], description="device id")
data: dict = Field(examples=[{"position": 30, "torque": 5, "action": "push_to"}])
action: str = Field(examples=["_execute_driver_command_async"], description="action name", default="")
action_type: str = Field(examples=["unilabos_msgs.action._str_single_input.StrSingleInput"], description="action name", default="")
action_args: dict = Field(examples=[{'string': 'string'}], description="action name", default="")
task_id: str = Field(examples=["task_id"], description="task uuid")
job_id: str = Field(examples=["job_id"], description="goal uuid")
node_id: str = Field(examples=["node_id"], description="node uuid")
server_info: dict = Field(examples=[{"send_timestamp": 1717000000.0}], description="server info")
data: dict = Field(examples=[{"position": 30, "torque": 5, "action": "push_to"}], default={})
class JobStepFinishReq(BaseModel):
token: str = Field(examples=["030944"], description="token")

View File

@@ -15,17 +15,20 @@ import os
from unilabos.config.config import MQConfig
from unilabos.app.controler import job_add
from unilabos.app.model import JobAddReq
from unilabos.app.communication import BaseCommunicationClient
from unilabos.utils import logger
from unilabos.utils.type_check import TypeEncoder
from paho.mqtt.enums import CallbackAPIVersion
class MQTTClient:
class MQTTClient(BaseCommunicationClient):
mqtt_disable = True
def __init__(self):
super().__init__()
self.mqtt_disable = not MQConfig.lab_id
self.is_disabled = self.mqtt_disable # 更新父类属性
self.client_id = f"{MQConfig.group_id}@@@{MQConfig.lab_id}{uuid.uuid4()}"
logger.info("[MQTT] Client_id: " + self.client_id)
self.client = mqtt.Client(CallbackAPIVersion.VERSION2, client_id=self.client_id, protocol=mqtt.MQTTv5)
@@ -166,7 +169,7 @@ class MQTTClient:
status = {"data": device_status.get(device_id, {}), "device_id": device_id, "timestamp": time.time()}
address = f"labs/{MQConfig.lab_id}/devices/"
self.client.publish(address, json.dumps(status), qos=2)
logger.info(f"Device {device_id} status published: address: {address}, {status}")
# logger.info(f"Device {device_id} status published: address: {address}, {status}")
def publish_job_status(self, feedback_data: dict, job_id: str, status: str, return_info: Optional[str] = None):
if self.mqtt_disable:
@@ -208,11 +211,12 @@ class MQTTClient:
self.client.subscribe(pong_topic, 0)
logger.debug(f"Subscribed to pong topic: {pong_topic}")
def handle_pong(self, pong_data: dict):
"""处理pong响应这个方法会在收到pong消息时被调用"""
logger.debug(f"Pong received: {pong_data}")
# 这里会被HostNode的ping-pong处理逻辑调用
pass
@property
def is_connected(self) -> bool:
"""检查MQTT是否已连接"""
if self.is_disabled:
return False
return hasattr(self.client, "is_connected") and self.client.is_connected()
mqtt_client = MQTTClient()

View File

@@ -1,44 +1,70 @@
import argparse
import json
import time
from unilabos.config.config import BasicConfig
from unilabos.registry.registry import build_registry
from unilabos.app.main import load_config_from_file
from unilabos.utils.log import logger
from unilabos.utils.type_check import TypeEncoder
def register_devices_and_resources(mqtt_client, lab_registry):
def register_devices_and_resources(comm_client, lab_registry):
"""
注册设备和资源到 MQTT
注册设备和资源到通信服务器MQTT/WebSocket
"""
logger.info("[UniLab Register] 开始注册设备和资源...")
# 注册设备信息
for device_info in lab_registry.obtain_registry_device_info():
mqtt_client.publish_registry(device_info["id"], device_info, False)
logger.debug(f"[UniLab Register] 注册设备: {device_info['id']}")
# # 注册资源信息
# for resource_info in lab_registry.obtain_registry_resource_info():
# mqtt_client.publish_registry(resource_info["id"], resource_info, False)
# logger.debug(f"[UniLab Register] 注册资源: {resource_info['id']}")
# 注册资源信息 - 使用HTTP方式
from unilabos.app.web.client import http_client
resources_to_register = {}
for resource_info in lab_registry.obtain_registry_resource_info():
resources_to_register[resource_info["id"]] = resource_info
logger.debug(f"[UniLab Register] 准备注册资源: {resource_info['id']}")
logger.info("[UniLab Register] 开始注册设备和资源...")
if BasicConfig.auth_secret():
# 注册设备信息
devices_to_register = {}
for device_info in lab_registry.obtain_registry_device_info():
devices_to_register[device_info["id"]] = json.loads(
json.dumps(device_info, ensure_ascii=False, cls=TypeEncoder)
)
logger.debug(f"[UniLab Register] 收集设备: {device_info['id']}")
resources_to_register = {}
for resource_info in lab_registry.obtain_registry_resource_info():
resources_to_register[resource_info["id"]] = resource_info
logger.debug(f"[UniLab Register] 收集资源: {resource_info['id']}")
print(
"[UniLab Register] 设备注册",
http_client.resource_registry({"resources": list(devices_to_register.values())}).text,
)
print(
"[UniLab Register] 资源注册",
http_client.resource_registry({"resources": list(resources_to_register.values())}).text,
)
else:
# 注册设备信息
for device_info in lab_registry.obtain_registry_device_info():
comm_client.publish_registry(device_info["id"], device_info, False)
logger.debug(f"[UniLab Register] 注册设备: {device_info['id']}")
if resources_to_register:
start_time = time.time()
response = http_client.resource_registry(resources_to_register)
cost_time = time.time() - start_time
if response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功通过HTTP注册 {len(resources_to_register)} 个资源 {cost_time}ms")
else:
logger.error(f"[UniLab Register] HTTP注册资源失败: {response.status_code}, {response.text} {cost_time}ms")
# # 注册资源信息
# for resource_info in lab_registry.obtain_registry_resource_info():
# comm_client.publish_registry(resource_info["id"], resource_info, False)
# logger.debug(f"[UniLab Register] 注册资源: {resource_info['id']}")
resources_to_register = {}
for resource_info in lab_registry.obtain_registry_resource_info():
resources_to_register[resource_info["id"]] = resource_info
logger.debug(f"[UniLab Register] 准备注册资源: {resource_info['id']}")
if resources_to_register:
start_time = time.time()
response = http_client.resource_registry(resources_to_register)
cost_time = time.time() - start_time
if response.status_code in [200, 201]:
logger.info(f"[UniLab Register] 成功通过HTTP注册 {len(resources_to_register)} 个资源 {cost_time}ms")
else:
logger.error(
f"[UniLab Register] HTTP注册资源失败: {response.status_code}, {response.text} {cost_time}ms"
)
logger.info("[UniLab Register] 设备和资源注册完成.")
@@ -60,6 +86,18 @@ def main():
default=None,
help="配置文件路径,支持.py格式的Python配置文件",
)
parser.add_argument(
"--ak",
type=str,
default="",
help="实验室请求的ak",
)
parser.add_argument(
"--sk",
type=str,
default="",
help="实验室请求的sk",
)
parser.add_argument(
"--complete_registry",
action="store_true",
@@ -68,17 +106,20 @@ def main():
)
args = parser.parse_args()
load_config_from_file(args.config)
BasicConfig.ak = args.ak
BasicConfig.sk = args.sk
# 构建注册表
build_registry(args.registry, args.complete_registry)
from unilabos.app.mq import mqtt_client
build_registry(args.registry, args.complete_registry, True)
from unilabos.app.communication import get_communication_client
# 连接mqtt
mqtt_client.start()
# 获取通信客户端并启动连接
comm_client = get_communication_client()
comm_client.start()
from unilabos.registry.registry import lab_registry
# 注册设备和资源
register_devices_and_resources(mqtt_client, lab_registry)
register_devices_and_resources(comm_client, lab_registry)
if __name__ == "__main__":

File diff suppressed because it is too large Load Diff

View File

@@ -15,6 +15,7 @@ from unilabos.utils import logger
class HTTPClient:
"""HTTP客户端用于与远程服务器通信"""
backend_go = False # 是否使用Go后端
def __init__(self, remote_addr: Optional[str] = None, auth: Optional[str] = None) -> None:
"""
@@ -28,7 +29,13 @@ class HTTPClient:
if auth is not None:
self.auth = auth
else:
self.auth = MQConfig.lab_id
auth_secret = BasicConfig.auth_secret()
if auth_secret:
self.auth = auth_secret
self.backend_go = True
info(f"正在使用ak sk作为授权信息 {auth_secret}")
else:
self.auth = MQConfig.lab_id
info(f"HTTPClient 初始化完成: remote_addr={self.remote_addr}")
def resource_edge_add(self, resources: List[Dict[str, Any]], database_process_later: bool) -> requests.Response:
@@ -43,11 +50,18 @@ class HTTPClient:
"""
database_param = 1 if database_process_later else 0
response = requests.post(
f"{self.remote_addr}/lab/resource/edge/batch_create/?database_process_later={database_param}",
json=resources,
headers={"Authorization": f"lab {self.auth}"},
f"{self.remote_addr}/lab/resource/edge/batch_create/?database_process_later={database_param}"
if not self.backend_go else f"{self.remote_addr}/lab/material/edge",
json={
"edges": resources,
} if self.backend_go else resources,
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=100,
)
if self.backend_go and response.status_code == 200:
res = response.json()
if "code" in res and res["code"] != 0:
logger.error(f"添加物料关系失败: {response.text}")
if response.status_code != 200 and response.status_code != 201:
logger.error(f"添加物料关系失败: {response.status_code}, {response.text}")
return response
@@ -63,11 +77,15 @@ class HTTPClient:
Response: API响应对象
"""
response = requests.post(
f"{self.remote_addr}/lab/resource/?database_process_later={1 if database_process_later else 0}",
json=resources,
headers={"Authorization": f"lab {self.auth}"},
f"{self.remote_addr}/lab/resource/?database_process_later={1 if database_process_later else 0}" if not self.backend_go else f"{self.remote_addr}/lab/material",
json=resources if not self.backend_go else {"nodes": resources},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=100,
)
if self.backend_go and response.status_code == 200:
res = response.json()
if "code" in res and res["code"] != 0:
logger.error(f"添加物料失败: {response.text}")
if response.status_code != 200:
logger.error(f"添加物料失败: {response.text}")
return response
@@ -84,9 +102,9 @@ class HTTPClient:
Dict: 返回的资源数据
"""
response = requests.get(
f"{self.remote_addr}/lab/resource/?edge_format=1",
f"{self.remote_addr}/lab/resource/?edge_format=1" if not self.backend_go else f"{self.remote_addr}/lab/material",
params={"id": id, "with_children": with_children},
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=20,
)
return response.json()
@@ -104,7 +122,7 @@ class HTTPClient:
response = requests.delete(
f"{self.remote_addr}/lab/resource/batch_delete/",
params={"id": id},
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=20,
)
return response
@@ -122,7 +140,7 @@ class HTTPClient:
response = requests.patch(
f"{self.remote_addr}/lab/resource/batch_update/?edge_format=1",
json=resources,
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=100,
)
return response
@@ -146,25 +164,25 @@ class HTTPClient:
response = requests.post(
f"{self.remote_addr}/api/account/file_upload/{scene}",
files=files,
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=30, # 上传文件可能需要更长的超时时间
)
return response
def resource_registry(self, registry_data: Dict[str, Any]) -> requests.Response:
def resource_registry(self, registry_data: Dict[str, Any] | List[Dict[str, Any]]) -> requests.Response:
"""
注册资源到服务器
Args:
registry_data: 注册表数据,格式为 {resource_id: resource_info}
registry_data: 注册表数据,格式为 {resource_id: resource_info} / [{resource_info}]
Returns:
Response: API响应对象
"""
response = requests.post(
f"{self.remote_addr}/lab/registry/",
f"{self.remote_addr}/lab/registry/" if not self.backend_go else f"{self.remote_addr}/lab/resource",
json=registry_data,
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=30,
)
if response.status_code not in [200, 201]:
@@ -183,7 +201,7 @@ class HTTPClient:
"""
response = requests.get(
f"{self.remote_addr}/lab/resource/graph_info/",
headers={"Authorization": f"lab {self.auth}"},
headers={"Authorization": f"{'lab' if not self.backend_go else 'Lab'} {self.auth}"},
timeout=(3, 30),
)
if response.status_code != 200:

View File

@@ -78,21 +78,23 @@ def setup_web_pages(router: APIRouter) -> None:
HTMLResponse: 渲染后的HTML页面
"""
try:
# 准备设备数据
# 准备初始数据结构这些数据将通过WebSocket实时更新
devices = []
resources = []
modules = {"names": [], "classes": [], "displayed_count": 0, "total_count": 0}
# 获取在线设备信息
# 获取在线设备信息(用于初始渲染)
ros_node_info = get_ros_node_info()
# 获取主机节点信息
# 获取主机节点信息(用于初始渲染)
host_node_info = get_host_node_info()
# 获取Registry路径信息
# 获取Registry路径信息(静态信息,不需要实时更新)
registry_info = get_registry_info()
# 获取已加载的设备
# 获取初始数据用于页面渲染后续将被WebSocket数据覆盖
if lab_registry:
devices = json.loads(json.dumps(lab_registry.obtain_registry_device_info(), ensure_ascii=False, cls=TypeEncoder))
devices = json.loads(
json.dumps(lab_registry.obtain_registry_device_info(), ensure_ascii=False, cls=TypeEncoder)
)
# 资源类型
for resource_id, resource_info in lab_registry.resource_type_registry.items():
resources.append(
@@ -103,7 +105,7 @@ def setup_web_pages(router: APIRouter) -> None:
}
)
# 获取导入的模块
# 获取导入的模块(初始数据)
if msg_converter_manager:
modules["names"] = msg_converter_manager.list_modules()
all_classes = [i for i in msg_converter_manager.list_classes() if "." in i]
@@ -171,3 +173,20 @@ def setup_web_pages(router: APIRouter) -> None:
except Exception as e:
error(f"打开文件夹时出错: {str(e)}")
return {"status": "error", "message": f"Failed to open folder: {str(e)}"}
@router.get("/registry-editor", response_class=HTMLResponse, summary="Registry Editor")
async def registry_editor_page() -> str:
"""
注册表编辑页面用于导入Python文件并生成注册表
Returns:
HTMLResponse: 渲染后的HTML页面
"""
try:
# 使用模板渲染页面
template = env.get_template("registry_editor.html")
html = template.render()
return html
except Exception as e:
error(f"生成注册表编辑页面时出错: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error generating registry editor page: {str(e)}")

View File

@@ -162,7 +162,6 @@
<body>
<h1>{% block header %}UniLab{% endblock %}</h1>
{% block nav %}
<a href="/unilabos/webtic" class="home-link">Home</a>
{% endblock %}
{% block top_info %}{% endblock %}

View File

@@ -1,22 +1,25 @@
{% extends "base.html" %}
{% block title %}UniLab API{% endblock %}
{% block header %}UniLab API{% endblock %}
{% block nav %}
<a href="/status" class="status-link">System Status</a>
{% endblock %}
{% block content %}
<div class="card">
<h2>Available Endpoints</h2>
{% for route in routes %}
<div class="endpoint">
<span class="method">{{ route.method }}</span>
<a href="{{ route.path }}">{{ route.path }}</a>
<p>{{ route.summary }}</p>
</div>
{% endfor %}
{% extends "base.html" %} {% block title %}UniLab API{% endblock %} {% block
header %}UniLab API{% endblock %} {% block nav %}
<div class="nav-tabs">
<a
href="/"
class="nav-tab"
style="background-color: #2196f3; color: white"
target="_blank"
>主页</a
>
<a href="/status" class="nav-tab">状态</a>
<a href="/registry-editor" class="nav-tab" target="_blank">注册表编辑</a>
</div>
{% endblock %}
{% endblock %} {% block content %}
<div class="card">
<h2>Available Endpoints</h2>
{% for route in routes %}
<div class="endpoint">
<span class="method">{{ route.method }}</span>
<a href="{{ route.path }}">{{ route.path }}</a>
<p>{{ route.summary }}</p>
</div>
{% endfor %}
</div>
{% endblock %}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

901
unilabos/app/ws_client.py Normal file
View File

@@ -0,0 +1,901 @@
#!/usr/bin/env python
# coding=utf-8
"""
WebSocket通信客户端和任务调度器
基于WebSocket协议的通信客户端实现继承自BaseCommunicationClient。
包含WebSocketClient连接管理和TaskScheduler任务调度两个类。
"""
import json
import logging
import time
import uuid
import threading
import asyncio
import traceback
import websockets
import ssl as ssl_module
from dataclasses import dataclass
from typing import Optional, Dict, Any
from urllib.parse import urlparse
from unilabos.app.model import JobAddReq
from unilabos.ros.nodes.presets.host_node import HostNode
from unilabos.utils.type_check import serialize_result_info
from unilabos.app.communication import BaseCommunicationClient
from unilabos.config.config import WSConfig, HTTPConfig, BasicConfig
from unilabos.utils import logger
@dataclass
class QueueItem:
"""队列项数据结构"""
task_type: str # "query_action_status" 或 "job_call_back_status"
device_id: str
action_name: str
task_id: str
job_id: str
device_action_key: str
next_run_time: float # 下次执行时间戳
retry_count: int = 0 # 重试次数
class TaskScheduler:
"""
任务调度器类
负责任务队列管理、状态跟踪、业务逻辑处理等功能。
"""
def __init__(self, message_sender: "WebSocketClient"):
"""初始化任务调度器"""
self.message_sender = message_sender
# 队列管理
self.action_queue = [] # 任务队列
self.action_queue_lock = threading.Lock() # 队列锁
# 任务状态跟踪
self.active_jobs = {} # job_id -> 任务信息
self.cancel_events = {} # job_id -> asyncio.Event for cancellation
# 立即执行标记字典 - device_id+action_name -> timestamp
self.immediate_execution_flags = {} # 存储需要立即执行的设备动作组合
self.immediate_execution_lock = threading.Lock() # 立即执行标记锁
# 队列处理器
self.queue_processor_thread = None
self.queue_running = False
# 队列处理器相关方法
def start(self) -> None:
"""启动任务调度器"""
if self.queue_running:
logger.warning("[TaskScheduler] Already running")
return
self.queue_running = True
self.queue_processor_thread = threading.Thread(
target=self._run_queue_processor, daemon=True, name="TaskScheduler"
)
self.queue_processor_thread.start()
def stop(self) -> None:
"""停止任务调度器"""
self.queue_running = False
if self.queue_processor_thread and self.queue_processor_thread.is_alive():
self.queue_processor_thread.join(timeout=5)
logger.info("[TaskScheduler] Stopped")
def _run_queue_processor(self):
"""在独立线程中运行队列处理器"""
loop = asyncio.new_event_loop()
try:
asyncio.set_event_loop(loop)
loop.run_until_complete(self._action_queue_processor())
except Exception as e:
logger.error(f"[TaskScheduler] Queue processor thread error: {str(e)}")
finally:
if loop:
loop.close()
async def _action_queue_processor(self) -> None:
"""队列处理器 - 从队列头部取出任务处理保持顺序使用list避免队尾排队问题"""
logger.info("[TaskScheduler] Action queue processor started")
try:
while self.queue_running:
try:
current_time = time.time()
items_to_process = []
items_to_requeue = []
# 使用锁安全地复制队列内容
with self.action_queue_lock:
if not self.action_queue:
# 队列为空,等待一段时间
pass
else:
# 复制队列内容以避免并发修改问题
items_to_process = self.action_queue.copy()
self.action_queue.clear()
if not items_to_process:
await asyncio.sleep(0.2) # 队列为空时等待
continue
with self.immediate_execution_lock:
expired_keys = [k for k, v in self.immediate_execution_flags.items() if current_time > v]
for k in expired_keys:
del self.immediate_execution_flags[k]
immediate_execution = self.immediate_execution_flags.copy()
# 处理每个任务
for item in items_to_process:
try:
# 检查是否到了执行时间,是我们本地的执行时间,按顺序填入
if current_time < item.next_run_time and item.device_action_key not in immediate_execution:
# 还没到执行时间,保留在队列中(保持原有顺序)
items_to_requeue.append(item)
continue
# 执行相应的任务
should_continue = False
if item.task_type == "query_action_status":
should_continue = asyncio.run_coroutine_threadsafe(self._process_query_status_item(item), self.message_sender.event_loop).result()
elif item.task_type == "job_call_back_status":
should_continue = asyncio.run_coroutine_threadsafe(self._process_job_callback_item(item), self.message_sender.event_loop).result()
else:
logger.warning(f"[TaskScheduler] Unknown task type: {item.task_type}")
continue
# 如果需要继续,放入重新排队列表
if should_continue:
item.next_run_time = current_time + 10 # 10秒后再次执行
item.retry_count += 1
items_to_requeue.append(item)
logger.trace( # type: ignore
f"[TaskScheduler] Re-queued {item.job_id} {item.task_type} "
f"for {item.device_action_key}"
)
else:
logger.debug(
f"[TaskScheduler] Completed {item.job_id} {item.task_type} "
f"for {item.device_action_key}"
)
except Exception as e:
logger.error(f"[TaskScheduler] Error processing item {item.task_type}: {str(e)}")
# 将需要重新排队的任务放回队列开头(保持原有顺序,确保优先于新任务执行)
if items_to_requeue and self.action_queue is not None:
with self.action_queue_lock:
self.action_queue = items_to_requeue + self.action_queue
await asyncio.sleep(0.1) # 短暂等待避免过度占用CPU
except Exception as e:
logger.error(f"[TaskScheduler] Error in queue processor: {str(e)}")
await asyncio.sleep(1) # 错误后稍等再继续
except asyncio.CancelledError:
logger.info("[TaskScheduler] Action queue processor cancelled")
except Exception as e:
logger.error(f"[TaskScheduler] Fatal error in queue processor: {str(e)}")
finally:
logger.info("[TaskScheduler] Action queue processor stopped")
# 队列处理方法
async def _process_query_status_item(self, item: QueueItem) -> bool:
"""处理query_action_status类型的队列项返回True表示需要继续False表示可以停止"""
try:
# 检查设备状态
host_node = HostNode.get_instance(0)
if not host_node:
logger.error("[TaskScheduler] HostNode instance not available in queue processor")
return False
action_jobs = len(host_node._device_action_status[item.device_action_key].job_ids)
free = not bool(action_jobs)
# 发送状态报告
if free:
# 设备空闲,发送最终状态并停止
# 下面要增加和handle_query_state相同的逻辑
host_node._device_action_status[item.device_action_key].job_ids[item.job_id] = time.time()
await self._publish_device_action_state(
item.device_id, item.action_name, item.task_id, item.job_id, "query_action_status", True, 0
)
return False # 停止继续监控
else:
# 设备忙碌,发送状态并继续监控
await self._publish_device_action_state(
item.device_id, item.action_name, item.task_id, item.job_id, "query_action_status", False, 10
)
return True # 继续监控
except Exception as e:
logger.error(f"[TaskScheduler] Error processing query status item: {str(e)}")
return False # 出错则停止
async def _process_job_callback_item(self, item: QueueItem) -> bool:
"""处理job_call_back_status类型的队列项返回True表示需要继续False表示可以停止"""
try:
# 检查任务是否还在活跃列表中
if item.job_id not in self.active_jobs:
logger.debug(f"[TaskScheduler] Job {item.job_id} no longer active")
return False
# 检查是否收到取消信号
if item.job_id in self.cancel_events and self.cancel_events[item.job_id].is_set():
logger.info(f"[TaskScheduler] Job {item.job_id} cancelled via cancel event")
return False
# 检查设备状态
host_node = HostNode.get_instance(0)
if not host_node:
logger.error(
f"[TaskScheduler] HostNode instance not available in job callback queue for job_id: {item.job_id}"
)
return False
action_jobs = len(host_node._device_action_status[item.device_action_key].job_ids)
free = not bool(action_jobs)
# 发送job_call_back_status状态
await self._publish_device_action_state(
item.device_id, item.action_name, item.task_id, item.job_id, "job_call_back_status", free, 10
)
# 如果任务完成,停止监控
if free:
return False
else:
return True # 继续监控
except Exception as e:
logger.error(f"[TaskScheduler] Error processing job callback item for job_id {item.job_id}: {str(e)}")
return False # 出错则停止
# 消息发送方法
async def _publish_device_action_state(
self, device_id: str, action_name: str, task_id: str, job_id: str, typ: str, free: bool, need_more: int
) -> None:
"""发布设备动作状态"""
message = {
"action": "report_action_state",
"data": {
"type": typ,
"device_id": device_id,
"action_name": action_name,
"task_id": task_id,
"job_id": job_id,
"free": free,
"need_more": need_more,
},
}
await self.message_sender.send_message(message)
# 业务逻辑处理方法
async def handle_query_state(self, data: Dict[str, str]) -> None:
"""处理query_action_state消息"""
device_id = data.get("device_id", "")
if not device_id:
logger.error("[TaskScheduler] query_action_state missing device_id")
return
action_name = data.get("action_name", "")
if not action_name:
logger.error("[TaskScheduler] query_action_state missing action_name")
return
task_id = data.get("task_id", "")
if not task_id:
logger.error("[TaskScheduler] query_action_state missing task_id")
return
job_id = data.get("job_id", "")
if not job_id:
logger.error("[TaskScheduler] query_action_state missing job_id")
return
device_action_key = f"/devices/{device_id}/{action_name}"
host_node = HostNode.get_instance(0)
if not host_node:
logger.error("[TaskScheduler] HostNode instance not available")
return
action_jobs = len(host_node._device_action_status[device_action_key].job_ids)
free = not bool(action_jobs)
# 如果设备空闲立即响应free状态
if free:
await self._publish_device_action_state(
device_id, action_name, task_id, job_id, "query_action_status", True, 0
)
logger.debug(f"[TaskScheduler] {job_id} Device {device_id}/{action_name} is free, responded immediately")
host_node = HostNode.get_instance(0)
if not host_node:
logger.error(f"[TaskScheduler] HostNode instance not available for job_id: {job_id}")
return
host_node._device_action_status[device_action_key].job_ids[job_id] = time.time()
return
# 设备忙碌时,检查是否已有相同的轮询任务
if self.action_queue is not None:
with self.action_queue_lock:
# 检查是否已存在相同job_id和task_id的轮询任务
for existing_item in self.action_queue:
if (
existing_item.task_type == "query_action_status"
and existing_item.job_id == job_id
and existing_item.task_id == task_id
and existing_item.device_action_key == device_action_key
):
logger.error(
f"[TaskScheduler] Duplicate query_action_state ignored: "
f"job_id={job_id}, task_id={task_id}, server error"
)
return
# 没有重复,加入轮询队列
queue_item = QueueItem(
task_type="query_action_status",
device_id=device_id,
action_name=action_name,
task_id=task_id,
job_id=job_id,
device_action_key=device_action_key,
next_run_time=time.time() + 10, # 10秒后执行
)
self.action_queue.append(queue_item)
logger.debug(
f"[TaskScheduler] {job_id} Device {device_id}/{action_name} is busy, "
f"added to polling queue {action_jobs}"
)
# 立即发送busy状态
await self._publish_device_action_state(
device_id, action_name, task_id, job_id, "query_action_status", False, 10
)
else:
logger.warning("[TaskScheduler] Action queue not available")
async def handle_job_start(self, data: Dict[str, Any]):
"""处理作业启动消息"""
try:
req = JobAddReq(**data)
device_action_key = f"/devices/{req.device_id}/{req.action}"
logger.info(
f"[TaskScheduler] Starting job with job_id: {req.job_id}, "
f"device: {req.device_id}, action: {req.action}"
)
# 添加到活跃任务
self.active_jobs[req.job_id] = {
"device_id": req.device_id,
"action_name": req.action,
"task_id": data.get("task_id", ""),
"start_time": time.time(),
"device_action_key": device_action_key,
"callback_started": False, # 标记callback是否已启动
}
# 创建取消事件todo要移动到query_state中
self.cancel_events[req.job_id] = asyncio.Event()
try:
# 启动callback定时发送
await self._start_job_callback(req.job_id, req.device_id, req.action, req.task_id, device_action_key)
# 创建兼容HostNode的QueueItem对象
job_queue_item = QueueItem(
task_type="job_call_back_status",
device_id=req.device_id,
action_name=req.action,
task_id=req.task_id,
job_id=req.job_id,
device_action_key=device_action_key,
next_run_time=time.time(),
)
host_node = HostNode.get_instance(0)
if not host_node:
logger.error(f"[TaskScheduler] HostNode instance not available for job_id: {req.job_id}")
return
host_node.send_goal(
job_queue_item,
action_type=req.action_type,
action_kwargs=req.action_args,
server_info=req.server_info,
)
except Exception as e:
logger.error(f"[TaskScheduler] Exception during job start for job_id {req.job_id}: {str(e)}")
traceback.print_exc()
# 异常结束先停止callback然后发送失败状态
await self._stop_job_callback(
req.job_id, "failed", serialize_result_info(traceback.format_exc(), False, {})
)
host_node = HostNode.get_instance(0)
if host_node:
host_node._device_action_status[device_action_key].job_ids.pop(req.job_id, None)
logger.warning(f"[TaskScheduler] Cleaned up failed job from HostNode: {req.job_id}")
except Exception as e:
logger.error(f"[TaskScheduler] Error handling job start: {str(e)}")
async def handle_cancel_action(self, data: Dict[str, Any]) -> None:
"""处理取消动作请求"""
task_id = data.get("task_id")
job_id = data.get("job_id")
logger.debug(f"[TaskScheduler] Handling cancel action request - task_id: {task_id}, job_id: {job_id}")
if not task_id and not job_id:
logger.error("[TaskScheduler] cancel_action missing both task_id and job_id")
return
# 通过job_id取消
if job_id:
logger.info(f"[TaskScheduler] Cancelling job by job_id: {job_id}")
# 设置取消事件
if job_id in self.cancel_events:
self.cancel_events[job_id].set()
logger.debug(f"[TaskScheduler] Set cancel event for job_id: {job_id}")
else:
logger.warning(f"[TaskScheduler] Cancel event not found for job_id: {job_id}")
# 停止job callback并发送取消状态
if job_id in self.active_jobs:
logger.debug(f"[TaskScheduler] Found active job for cancellation: {job_id}")
# 调用HostNode的cancel_goal
host_node = HostNode.get_instance(0)
if host_node:
host_node.cancel_goal(job_id)
logger.info(f"[TaskScheduler] Cancelled goal in HostNode for job_id: {job_id}")
else:
logger.error(f"[TaskScheduler] HostNode not available for cancel goal: {job_id}")
# 停止callback并发送取消状态
await self._stop_job_callback(job_id, "cancelled", "Job was cancelled by user request")
logger.info(f"[TaskScheduler] Stopped job callback and sent cancel status for job_id: {job_id}")
else:
logger.warning(f"[TaskScheduler] Job not found in active jobs for cancellation: {job_id}")
# 通过task_id取消需要查找对应的job_id
if task_id and not job_id:
logger.debug(f"[TaskScheduler] Cancelling jobs by task_id: {task_id}")
jobs_to_cancel = []
for jid, job_info in self.active_jobs.items():
if job_info.get("task_id") == task_id:
jobs_to_cancel.append(jid)
logger.debug(
f"[TaskScheduler] Found {len(jobs_to_cancel)} jobs to cancel for task_id {task_id}: {jobs_to_cancel}"
)
for jid in jobs_to_cancel:
logger.debug(f"[TaskScheduler] Recursively cancelling job_id: {jid} for task_id: {task_id}")
# 递归调用自身来取消每个job
await self.handle_cancel_action({"job_id": jid})
logger.debug(f"[TaskScheduler] Completed cancel action handling - task_id: {task_id}, job_id: {job_id}")
# job管理方法
async def _start_job_callback(
self, job_id: str, device_id: str, action_name: str, task_id: str, device_action_key: str
) -> None:
"""启动job的callback定时发送"""
if job_id not in self.active_jobs:
logger.debug(f"[TaskScheduler] Job not found in active jobs when starting callback: {job_id}")
return
# 检查是否已经启动过callback
if self.active_jobs[job_id].get("callback_started", False):
logger.warning(f"[TaskScheduler] Job callback already started for job_id: {job_id}")
return
# 标记callback已启动
self.active_jobs[job_id]["callback_started"] = True
# 将job_call_back_status任务放入队列
queue_item = QueueItem(
task_type="job_call_back_status",
device_id=device_id,
action_name=action_name,
task_id=task_id,
job_id=job_id,
device_action_key=device_action_key,
next_run_time=time.time() + 10, # 10秒后开始报送
)
if self.action_queue is not None:
with self.action_queue_lock:
self.action_queue.append(queue_item)
else:
logger.debug(f"[TaskScheduler] Action queue not available for job callback: {job_id}")
async def _stop_job_callback(self, job_id: str, final_status: str, return_info: Optional[str] = None) -> None:
"""停止job的callback定时发送并发送最终结果"""
logger.info(f"[TaskScheduler] Stopping job callback for job_id: {job_id} with final status: {final_status}")
if job_id not in self.active_jobs:
logger.debug(f"[TaskScheduler] Job {job_id} not found in active jobs when stopping callback")
return
job_info = self.active_jobs[job_id]
device_id = job_info["device_id"]
action_name = job_info["action_name"]
task_id = job_info["task_id"]
device_action_key = job_info["device_action_key"]
logger.debug(
f"[TaskScheduler] Job {job_id} details - device: {device_id}, action: {action_name}, task: {task_id}"
)
# 移除活跃任务和取消事件这会让队列处理器自动停止callback
self.active_jobs.pop(job_id, None)
self.cancel_events.pop(job_id, None)
logger.debug(f"[TaskScheduler] Removed job {job_id} from active jobs and cancel events")
# 发送最终的callback状态
await self._publish_device_action_state(
device_id, action_name, task_id, job_id, "job_call_back_status", True, 0
)
logger.debug(f"[TaskScheduler] Completed stopping job callback for {job_id} with final status: {final_status}")
# 外部接口方法
def publish_job_status(
self, feedback_data: dict, item: "QueueItem", status: str, return_info: Optional[str] = None
) -> None:
"""发布作业状态拦截最终结果给HostNode调用的接口"""
if not self.message_sender.is_connected():
logger.debug(f"[TaskScheduler] Not connected, cannot publish job status for job_id: {item.job_id}")
return
# 拦截最终结果状态
if status in ["success", "failed"]:
host_node = HostNode.get_instance(0)
if host_node:
host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id)
logger.info(f"[TaskScheduler] Intercepting final status for job_id: {item.job_id} - {status}")
# 给其他同名action至少执行一次的机会
with self.immediate_execution_lock:
self.immediate_execution_flags[item.device_action_key] = time.time() + 3
# 如果是最终状态通过_stop_job_callback处理
asyncio.run_coroutine_threadsafe(
self._stop_job_callback(item.job_id, status, return_info), self.message_sender.event_loop
).result()
# 执行结果信息上传
message = {
"action": "job_status",
"data": {
"job_id": item.job_id,
"task_id": item.task_id,
"device_id": item.device_id,
"action_name": item.action_name,
"status": status,
"feedback_data": feedback_data,
"return_info": return_info,
"timestamp": time.time(),
},
}
asyncio.run_coroutine_threadsafe(
self.message_sender.send_message(message), self.message_sender.event_loop
).result()
logger.trace(f"[TaskScheduler] Job status published: {item.job_id} - {status}") # type: ignore
def cancel_goal(self, job_id: str) -> None:
"""取消指定的任务(给外部调用的接口)"""
logger.debug(f"[TaskScheduler] External cancel request for job_id: {job_id}")
if job_id in self.cancel_events:
logger.debug(f"[TaskScheduler] Found cancel event for job_id: {job_id}, processing cancellation")
try:
loop = asyncio.get_event_loop()
loop.create_task(self.handle_cancel_action({"job_id": job_id}))
logger.debug(f"[TaskScheduler] Scheduled cancel action for job_id: {job_id}")
except RuntimeError:
asyncio.run(self.handle_cancel_action({"job_id": job_id}))
logger.debug(f"[TaskScheduler] Executed cancel action for job_id: {job_id}")
logger.debug(f"[TaskScheduler] Initiated cancel for job_id: {job_id}")
else:
logger.debug(f"[TaskScheduler] Job {job_id} not found in cancel events for cancellation")
class WebSocketClient(BaseCommunicationClient):
"""
WebSocket通信客户端类
专注于WebSocket连接管理和消息传输。
"""
def __init__(self):
super().__init__()
self.is_disabled = False
self.client_id = f"{uuid.uuid4()}"
# WebSocket连接相关
self.websocket = None
self.connection_loop = None
self.event_loop: asyncio.AbstractEventLoop = None # type: ignore
self.connection_thread = None
self.is_running = False
self.connected = False
# 消息处理
self.message_queue = asyncio.Queue() if not self.is_disabled else None
self.reconnect_count = 0
# 消息发送锁(解决并发写入问题)- 延迟初始化
self.send_lock = None
# 任务调度器
self.task_scheduler = None
# 构建WebSocket URL
self._build_websocket_url()
logger.info(f"[WebSocket] Client_id: {self.client_id}")
# 初始化方法
def _initialize_task_scheduler(self):
"""初始化任务调度器"""
if not self.task_scheduler:
self.task_scheduler = TaskScheduler(self)
self.task_scheduler.start()
logger.info("[WebSocket] Task scheduler initialized")
def _build_websocket_url(self):
"""构建WebSocket连接URL"""
if not HTTPConfig.remote_addr:
self.websocket_url = None
return
# 解析服务器URL
parsed = urlparse(HTTPConfig.remote_addr)
# 根据SSL配置选择协议
if parsed.scheme == "https":
scheme = "wss"
else:
scheme = "ws"
if ":" in parsed.netloc and parsed.port is not None:
self.websocket_url = f"{scheme}://{parsed.hostname}:{parsed.port + 1}/api/v1/ws/schedule"
else:
self.websocket_url = f"{scheme}://{parsed.netloc}/api/v1/ws/schedule"
logger.debug(f"[WebSocket] URL: {self.websocket_url}")
# 连接管理方法
def start(self) -> None:
"""启动WebSocket连接和任务调度器"""
if self.is_disabled:
logger.warning("[WebSocket] WebSocket is disabled, skipping connection.")
return
if not self.websocket_url:
logger.error("[WebSocket] WebSocket URL not configured")
return
logger.info(f"[WebSocket] Starting connection to {self.websocket_url}")
# 初始化任务调度器
self._initialize_task_scheduler()
self.is_running = True
# 在单独线程中运行WebSocket连接
self.connection_thread = threading.Thread(target=self._run_connection, daemon=True, name="WebSocketConnection")
self.connection_thread.start()
def stop(self) -> None:
"""停止WebSocket连接和任务调度器"""
if self.is_disabled:
return
logger.info("[WebSocket] Stopping connection")
self.is_running = False
self.connected = False
# 停止任务调度器
if self.task_scheduler:
self.task_scheduler.stop()
if self.event_loop and self.event_loop.is_running():
asyncio.run_coroutine_threadsafe(self._close_connection(), self.event_loop)
if self.connection_thread and self.connection_thread.is_alive():
self.connection_thread.join(timeout=5)
def _run_connection(self):
"""在独立线程中运行WebSocket连接"""
try:
# 创建新的事件循环
self.event_loop = asyncio.new_event_loop()
asyncio.set_event_loop(self.event_loop)
# 在正确的事件循环中创建锁
self.send_lock = asyncio.Lock()
# 运行连接逻辑
self.event_loop.run_until_complete(self._connection_handler())
except Exception as e:
logger.error(f"[WebSocket] Connection thread error: {str(e)}")
logger.error(traceback.format_exc())
finally:
if self.event_loop:
self.event_loop.close()
async def _connection_handler(self):
"""处理WebSocket连接和重连逻辑"""
while self.is_running:
try:
# 构建SSL上下文
ssl_context = None
assert self.websocket_url is not None
if self.websocket_url.startswith("wss://"):
ssl_context = ssl_module.create_default_context()
ws_logger = logging.getLogger("websockets.client")
ws_logger.setLevel(logging.INFO)
async with websockets.connect(
self.websocket_url,
ssl=ssl_context,
ping_interval=WSConfig.ping_interval,
ping_timeout=10,
additional_headers={"Authorization": f"Lab {BasicConfig.auth_secret()}"},
logger=ws_logger,
) as websocket:
self.websocket = websocket
self.connected = True
self.reconnect_count = 0
logger.info(f"[WebSocket] Connected to {self.websocket_url}")
# 处理消息
await self._message_handler()
except websockets.exceptions.ConnectionClosed:
logger.warning("[WebSocket] Connection closed")
self.connected = False
except Exception as e:
logger.error(f"[WebSocket] Connection error: {str(e)}")
self.connected = False
finally:
# WebSocket连接结束时只需重置websocket对象
self.websocket = None
# 重连逻辑
if self.is_running and self.reconnect_count < WSConfig.max_reconnect_attempts:
self.reconnect_count += 1
logger.info(
f"[WebSocket] Reconnecting in {WSConfig.reconnect_interval}s "
f"(attempt {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
)
await asyncio.sleep(WSConfig.reconnect_interval)
elif self.reconnect_count >= WSConfig.max_reconnect_attempts:
logger.error("[WebSocket] Max reconnection attempts reached")
break
else:
self.reconnect_count -= 1
async def _close_connection(self):
"""关闭WebSocket连接"""
if self.websocket:
await self.websocket.close()
self.websocket = None
# 消息处理方法
async def _message_handler(self):
"""处理接收到的消息"""
if not self.websocket:
logger.error("[WebSocket] WebSocket connection is None")
return
try:
async for message in self.websocket:
try:
data = json.loads(message)
await self._process_message(data)
except json.JSONDecodeError:
logger.error(f"[WebSocket] Invalid JSON received: {message}")
except Exception as e:
logger.error(f"[WebSocket] Error processing message: {str(e)}")
except websockets.exceptions.ConnectionClosed:
logger.info("[WebSocket] Message handler stopped - connection closed")
except Exception as e:
logger.error(f"[WebSocket] Message handler error: {str(e)}")
async def _process_message(self, input_message: Dict[str, Any]):
"""处理收到的消息"""
message_type = input_message.get("action", "")
data = input_message.get("data", {})
if message_type == "pong":
# 处理pong响应WebSocket层面的连接管理
self._handle_pong_sync(data)
elif self.task_scheduler:
# 其他消息交给TaskScheduler处理
if message_type == "job_start":
await self.task_scheduler.handle_job_start(data)
elif message_type == "query_action_state":
await self.task_scheduler.handle_query_state(data)
elif message_type == "cancel_action":
await self.task_scheduler.handle_cancel_action(data)
elif message_type == "":
return
else:
logger.debug(f"[WebSocket] Unknown message: {input_message}")
else:
logger.warning(f"[WebSocket] Task scheduler not available for message: {message_type}")
def _handle_pong_sync(self, pong_data: Dict[str, Any]):
"""同步处理pong响应"""
host_node = HostNode.get_instance(0)
if host_node:
host_node.handle_pong_response(pong_data)
# MessageSender接口实现
async def send_message(self, message: Dict[str, Any]) -> None:
"""内部发送消息方法,使用锁确保线程安全"""
if not self.connected or not self.websocket:
logger.warning("[WebSocket] Not connected, cannot send message")
return
# 检查锁是否已初始化(在事件循环启动后才会创建)
if not self.send_lock:
logger.warning("[WebSocket] Send lock not initialized, cannot send message safely")
return
message_str = json.dumps(message, ensure_ascii=False)
# 使用异步锁防止并发写入导致的竞态条件
async with self.send_lock:
try:
await self.websocket.send(message_str)
logger.debug(f"[WebSocket] Message sent: {message['action']}")
except Exception as e:
logger.error(f"[WebSocket] Failed to send message: {str(e)}")
def is_connected(self) -> bool:
"""检查是否已连接TaskScheduler调用的接口"""
return self.connected and not self.is_disabled
# 基类方法实现
def publish_device_status(self, device_status: dict, device_id: str, property_name: str) -> None:
"""发布设备状态"""
if self.is_disabled or not self.connected:
return
message = {
"action": "device_status",
"data": {
"device_id": device_id,
"data": {
"property_name": property_name,
"status": device_status.get(device_id, {}).get(property_name),
"timestamp": time.time(),
},
},
}
asyncio.run_coroutine_threadsafe(self.send_message(message), self.event_loop).result()
logger.debug(f"[WebSocket] Device status published: {device_id}.{property_name}")
def publish_job_status(
self, feedback_data: dict, item: "QueueItem", status: str, return_info: Optional[str] = None
) -> None:
"""发布作业状态转发给TaskScheduler"""
if self.task_scheduler:
self.task_scheduler.publish_job_status(feedback_data, item, status, return_info)
else:
logger.debug(f"[WebSocket] Task scheduler not available for job status: {item.job_id}")
def send_ping(self, ping_id: str, timestamp: float) -> None:
"""发送ping消息"""
if self.is_disabled or not self.connected:
logger.warning("[WebSocket] Not connected, cannot send ping")
return
message = {"action": "ping", "data": {"ping_id": ping_id, "client_timestamp": timestamp}}
asyncio.run_coroutine_threadsafe(self.send_message(message), self.event_loop).result()
logger.debug(f"[WebSocket] Ping sent: {ping_id}")
def cancel_goal(self, job_id: str) -> None:
"""取消指定的任务转发给TaskScheduler"""
logger.debug(f"[WebSocket] Received cancel goal request for job_id: {job_id}")
if self.task_scheduler:
self.task_scheduler.cancel_goal(job_id)
logger.debug(f"[WebSocket] Forwarded cancel goal to TaskScheduler for job_id: {job_id}")
else:
logger.debug(f"[WebSocket] Task scheduler not available for cancel goal: {job_id}")

View File

@@ -15,7 +15,6 @@ from .heatchill_protocol import (
generate_heat_chill_to_temp_protocol # 保留导入,但不注册为协议
)
from .stir_protocol import generate_stir_protocol, generate_start_stir_protocol, generate_stop_stir_protocol
from .transfer_protocol import generate_transfer_protocol
from .clean_vessel_protocol import generate_clean_vessel_protocol
from .dissolve_protocol import generate_dissolve_protocol
from .filter_through_protocol import generate_filter_through_protocol
@@ -47,6 +46,7 @@ action_protocol_generators = {
HeatChillStopProtocol: generate_heat_chill_stop_protocol,
HydrogenateProtocol: generate_hydrogenate_protocol,
PumpTransferProtocol: generate_pump_protocol_with_rinsing,
TransferProtocol: generate_pump_protocol,
RecrystallizeProtocol: generate_recrystallize_protocol,
ResetHandlingProtocol: generate_reset_handling_protocol,
RunColumnProtocol: generate_run_column_protocol,
@@ -54,6 +54,5 @@ action_protocol_generators = {
StartStirProtocol: generate_start_stir_protocol,
StirProtocol: generate_stir_protocol,
StopStirProtocol: generate_stop_stir_protocol,
TransferProtocol: generate_transfer_protocol,
WashSolidProtocol: generate_wash_solid_protocol,
}

View File

@@ -1,313 +1,24 @@
from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.unit_parser import parse_volume_input, parse_mass_input, parse_time_input
from .utils.vessel_parser import get_vessel, find_solid_dispenser, find_connected_stirrer, find_reagent_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"[ADD] {message}", flush=True)
logger.info(f"[ADD] {message}")
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
解析体积输入,支持带单位的字符串
Args:
volume_input: 体积输入(如 "2.7 mL", "2.67 mL", "?", 10.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
debug_print(f"📏 体积输入为数值: {volume_input}")
return float(volume_input)
if not volume_input or not str(volume_input).strip():
debug_print(f"⚠️ 体积输入为空返回0.0mL")
return 0.0
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积输入: '{volume_str}'")
# 处理未知体积
if volume_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_volume = 10.0 # 默认10mL
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL 🎯")
return default_volume
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter)?', volume_clean)
if not match:
debug_print(f"❌ 无法解析体积: '{volume_str}'使用默认值10mL")
return 10.0
value = float(match.group(1))
unit = match.group(2) or 'ml' # 默认单位为毫升
# 转换为毫升
if unit in ['l', 'liter']:
volume = value * 1000.0 # L -> mL
debug_print(f"🔄 体积转换: {value}L → {volume}mL")
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
debug_print(f"🔄 体积转换: {value}μL → {volume}mL")
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"✅ 体积已为mL: {volume}mL")
return volume
def parse_mass_input(mass_input: Union[str, float]) -> float:
"""
解析质量输入,支持带单位的字符串
Args:
mass_input: 质量输入(如 "19.3 g", "4.5 g", 2.5
Returns:
float: 质量(克)
"""
if isinstance(mass_input, (int, float)):
debug_print(f"⚖️ 质量输入为数值: {mass_input}g")
return float(mass_input)
if not mass_input or not str(mass_input).strip():
debug_print(f"⚠️ 质量输入为空返回0.0g")
return 0.0
mass_str = str(mass_input).lower().strip()
debug_print(f"🔍 解析质量输入: '{mass_str}'")
# 移除空格并提取数字和单位
mass_clean = re.sub(r'\s+', '', mass_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(g|mg|kg|gram|milligram|kilogram)?', mass_clean)
if not match:
debug_print(f"❌ 无法解析质量: '{mass_str}'返回0.0g")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 'g' # 默认单位为克
# 转换为克
if unit in ['mg', 'milligram']:
mass = value / 1000.0 # mg -> g
debug_print(f"🔄 质量转换: {value}mg → {mass}g")
elif unit in ['kg', 'kilogram']:
mass = value * 1000.0 # kg -> g
debug_print(f"🔄 质量转换: {value}kg → {mass}g")
else: # g, gram 或默认
mass = value # 已经是g
debug_print(f"✅ 质量已为g: {mass}g")
return mass
def parse_time_input(time_input: Union[str, float]) -> float:
"""
解析时间输入,支持带单位的字符串
Args:
time_input: 时间输入(如 "1 h", "20 min", "30 s", 60.0
Returns:
float: 时间(秒)
"""
if isinstance(time_input, (int, float)):
debug_print(f"⏱️ 时间输入为数值: {time_input}")
return float(time_input)
if not time_input or not str(time_input).strip():
debug_print(f"⚠️ 时间输入为空返回0秒")
return 0.0
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间输入: '{time_str}'")
# 处理未知时间
if time_str in ['?', 'unknown', 'tbd']:
default_time = 60.0 # 默认1分钟
debug_print(f"❓ 检测到未知时间,使用默认值: {default_time}s (1分钟) ⏰")
return default_time
# 移除空格并提取数字和单位
time_clean = re.sub(r'\s+', '', time_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(s|sec|second|min|minute|h|hr|hour|d|day)?', time_clean)
if not match:
debug_print(f"❌ 无法解析时间: '{time_str}'返回0s")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 's' # 默认单位为秒
# 转换为秒
if unit in ['min', 'minute']:
time_sec = value * 60.0 # min -> s
debug_print(f"🔄 时间转换: {value}分钟 → {time_sec}")
elif unit in ['h', 'hr', 'hour']:
time_sec = value * 3600.0 # h -> s
debug_print(f"🔄 时间转换: {value}小时 → {time_sec}")
elif unit in ['d', 'day']:
time_sec = value * 86400.0 # d -> s
debug_print(f"🔄 时间转换: {value}天 → {time_sec}")
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"✅ 时间已为秒: {time_sec}")
return time_sec
def find_reagent_vessel(G: nx.DiGraph, reagent: str) -> str:
"""增强版试剂容器查找,支持固体和液体"""
debug_print(f"🔍 开始查找试剂 '{reagent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索reagent字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == reagent.lower() or config_reagent == reagent.lower():
debug_print(f"✅ 通过reagent字段精确匹配到容器: {node} 🎯")
return node
# 模糊匹配
if (reagent.lower() in reagent_name and reagent_name) or \
(reagent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过reagent字段模糊匹配到容器: {node} 🔍")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则查找...")
reagent_clean = reagent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
reagent_clean,
f"flask_{reagent_clean}",
f"bottle_{reagent_clean}",
f"vessel_{reagent_clean}",
f"{reagent_clean}_flask",
f"{reagent_clean}_bottle",
f"reagent_{reagent_clean}",
f"reagent_bottle_{reagent_clean}",
f"solid_reagent_bottle_{reagent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🔍 尝试的容器名称: {possible_names[:5]}... (共{len(possible_names)}个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name} 📝")
return name
# 🔧 方法3节点名称模糊匹配
debug_print(f"📋 方法3: 节点名称模糊匹配...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if node_data.get('type') == 'container':
# 检查节点名称是否包含试剂名称
if reagent_clean in node_id.lower():
debug_print(f"✅ 通过节点名称模糊匹配到容器: {node_id} 🔍")
return node_id
# 检查液体类型匹配
vessel_data = node_data.get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == reagent.lower():
debug_print(f"✅ 通过液体类型匹配到容器: {node_id} 💧")
return node_id
# 🔧 方法4使用第一个试剂瓶作为备选
debug_print(f"📋 方法4: 查找备选试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备选试剂瓶: {node_id} 🔄")
return node_id
debug_print(f"❌ 所有方法都失败了,无法找到容器!")
raise ValueError(f"找不到试剂 '{reagent}' 对应的容器")
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 共找到 {len(stirrer_nodes)} 个搅拌器")
# 查找连接到容器的搅拌器
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
# 返回第一个搅拌器
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return ""
def find_solid_dispenser(G: nx.DiGraph) -> str:
"""查找固体加样器"""
debug_print(f"🔍 查找固体加样器...")
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'solid_dispenser' in node_class or 'dispenser' in node_class:
debug_print(f"✅ 找到固体加样器: {node} 🥄")
return node
debug_print(f"❌ 未找到固体加样器")
return ""
# 🆕 创建进度日志动作
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志"""
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
print(f"[ACTION] {full_message}", flush=True)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message
}
}
create_action_log = partial(action_log, prefix="[ADD]")
def generate_add_protocol(
G: nx.DiGraph,
@@ -346,16 +57,7 @@ def generate_add_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
# 🔧 修改:更新容器的液体体积(假设有 liquid_volume 字段)
if "data" in vessel and "liquid_volume" in vessel["data"]:
@@ -406,12 +108,7 @@ def generate_add_protocol(
final_time = parse_time_input(time)
debug_print(f"📊 解析结果:")
debug_print(f" 📏 体积: {final_volume}mL")
debug_print(f" ⚖️ 质量: {final_mass}g")
debug_print(f" ⏱️ 时间: {final_time}s")
debug_print(f" 🧬 摩尔: '{mol}'")
debug_print(f" 🎯 事件: '{event}'")
debug_print(f" ⚡ 速率: '{rate_spec}'")
debug_print(f" 体积: {final_volume}mL, 质量: {final_mass}g, 时间: {final_time}s, 摩尔: '{mol}', 事件: '{event}', 速率: '{rate_spec}'")
# === 判断添加类型 ===
debug_print("🔍 步骤3: 判断添加类型...")

View File

@@ -1,31 +1,15 @@
import networkx as nx
import logging
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"[ADJUST_PH] {message}", flush=True)
logger.info(f"[ADJUST_PH] {message}")
# 🆕 创建进度日志动作
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志"""
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
print(f"[ACTION] {full_message}", flush=True)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message
}
}
def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
"""
查找酸碱试剂容器,支持多种匹配模式
@@ -235,16 +219,7 @@ def generate_adjust_ph_protocol(
List[Dict[str, Any]]: 动作序列
"""
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
if not vessel_id:
debug_print(f"❌ vessel 参数无效必须包含id字段或直接提供容器ID. vessel: {vessel}")

View File

@@ -1,101 +1,9 @@
from typing import List, Dict, Any
import networkx as nx
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .pump_protocol import generate_pump_protocol
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器,支持多种匹配模式:
1. 容器名称匹配(如 flask_water, reagent_bottle_1-DMF
2. 容器内液体类型匹配(如 liquid_type: "DMF", "ethanol"
"""
print(f"CLEAN_VESSEL: 正在查找溶剂 '{solvent}' 的容器...")
# 第一步:通过容器名称匹配
possible_names = [
f"flask_{solvent}", # flask_water, flask_ethanol
f"bottle_{solvent}", # bottle_water, bottle_ethanol
f"vessel_{solvent}", # vessel_water, vessel_ethanol
f"{solvent}_flask", # water_flask, ethanol_flask
f"{solvent}_bottle", # water_bottle, ethanol_bottle
f"{solvent}", # 直接用溶剂名
f"solvent_{solvent}", # solvent_water, solvent_ethanol
f"reagent_bottle_{solvent}", # reagent_bottle_DMF
]
# 尝试名称匹配
for vessel_name in possible_names:
if vessel_name in G.nodes():
print(f"CLEAN_VESSEL: 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步:通过模糊名称匹配(名称中包含溶剂名)
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
# 检查节点ID或名称中是否包含溶剂名
node_name = G.nodes[node_id].get('name', '').lower()
if (solvent.lower() in node_id.lower() or
solvent.lower() in node_name):
print(f"CLEAN_VESSEL: 通过模糊名称匹配找到容器: {node_id} (名称: {node_name})")
return node_id
# 第三步:通过液体类型匹配
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式的液体类型字段
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
reagent_name = vessel_data.get('reagent_name', '')
config_reagent = G.nodes[node_id].get('config', {}).get('reagent', '')
# 检查多个可能的字段
if (liquid_type.lower() == solvent.lower() or
reagent_name.lower() == solvent.lower() or
config_reagent.lower() == solvent.lower()):
print(f"CLEAN_VESSEL: 通过液体类型匹配找到容器: {node_id}")
print(f" - liquid_type: {liquid_type}")
print(f" - reagent_name: {reagent_name}")
print(f" - config.reagent: {config_reagent}")
return node_id
# 第四步:列出所有可用的容器信息帮助调试
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
config_data = G.nodes[node_id].get('config', {})
liquids = vessel_data.get('liquid', [])
container_info = {
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquid_types': [],
'reagent_name': vessel_data.get('reagent_name', ''),
'config_reagent': config_data.get('reagent', '')
}
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type:
container_info['liquid_types'].append(liquid_type)
available_containers.append(container_info)
print(f"CLEAN_VESSEL: 可用容器列表:")
for container in available_containers:
print(f" - {container['id']}: {container['name']}")
print(f" 液体类型: {container['liquid_types']}")
print(f" 试剂名称: {container['reagent_name']}")
print(f" 配置试剂: {container['config_reagent']}")
raise ValueError(f"未找到溶剂 '{solvent}' 的容器。尝试了名称匹配: {possible_names}")
def find_solvent_vessel_by_any_match(G: nx.DiGraph, solvent: str) -> str:
"""
增强版溶剂容器查找,支持各种匹配方式的别名函数
@@ -181,16 +89,7 @@ def generate_clean_vessel_protocol(
clean_protocol = generate_clean_vessel_protocol(G, {"id": "main_reactor"}, "water", 100.0, 60.0, 2)
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []

View File

@@ -1,31 +1,22 @@
from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"[DISSOLVE] {message}", flush=True)
logger.info(f"[DISSOLVE] {message}")
# 🆕 创建进度日志动作
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志"""
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
print(f"[ACTION] {full_message}", flush=True)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message
}
}
create_action_log = partial(action_log, prefix="[DISSOLVE]")
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
@@ -446,7 +437,7 @@ def generate_dissolve_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
vessel_id, vessel_data = get_vessel(vessel)
debug_print("=" * 60)
debug_print("🧪 开始生成溶解协议")

View File

@@ -1,6 +1,8 @@
import networkx as nx
from typing import List, Dict, Any
from unilabos.compile.utils.vessel_parser import get_vessel
def find_connected_heater(G: nx.DiGraph, vessel: str) -> str:
"""
@@ -63,7 +65,7 @@ def generate_dry_protocol(
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []

View File

@@ -1,8 +1,12 @@
from functools import partial
import networkx as nx
import logging
import uuid
import sys
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing, generate_pump_protocol
# 设置日志
@@ -21,48 +25,17 @@ def debug_print(message):
try:
# 确保消息是字符串格式
safe_message = str(message)
print(f"[抽真空充气] {safe_message}", flush=True)
logger.info(f"[抽真空充气] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
print(f"[抽真空充气] {safe_message}", flush=True)
logger.info(f"[抽真空充气] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
print(f"[抽真空充气] {fallback_message}", flush=True)
logger.info(f"[抽真空充气] {fallback_message}")
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"[日志] {message}"
debug_print(safe_message)
logger.info(safe_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}
create_action_log = partial(action_log, prefix="[抽真空充气]")
def find_gas_source(G: nx.DiGraph, gas: str) -> str:
"""
@@ -288,16 +261,7 @@ def generate_evacuateandrefill_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
# 硬编码重复次数为 3
repeats = 3

View File

@@ -2,75 +2,15 @@ from typing import List, Dict, Any, Optional, Union
import networkx as nx
import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🧪 [EVAPORATE] {message}", flush=True)
logger.info(f"[EVAPORATE] {message}")
def parse_time_input(time_input: Union[str, float]) -> float:
"""
解析时间输入,支持带单位的字符串
Args:
time_input: 时间输入(如 "3 min", "180", "0.5 h" 等)
Returns:
float: 时间(秒)
"""
if isinstance(time_input, (int, float)):
debug_print(f"⏱️ 时间输入为数字: {time_input}s ✨")
return float(time_input) # 🔧 确保返回float
if not time_input or not str(time_input).strip():
debug_print(f"⚠️ 时间输入为空,使用默认值: 180s (3分钟) 🕐")
return 180.0 # 默认3分钟
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间输入: '{time_str}' 📝")
# 处理未知时间
if time_str in ['?', 'unknown', 'tbd']:
default_time = 180.0 # 默认3分钟
debug_print(f"❓ 检测到未知时间,使用默认值: {default_time}s (3分钟) 🤷‍♀️")
return default_time
# 移除空格并提取数字和单位
time_clean = re.sub(r'\s+', '', time_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(s|sec|second|min|minute|h|hr|hour|d|day)?', time_clean)
if not match:
# 如果无法解析,尝试直接转换为数字(默认秒)
try:
value = float(time_str)
debug_print(f"✅ 时间解析成功: {time_str}{value}s无单位默认秒")
return float(value) # 🔧 确保返回float
except ValueError:
debug_print(f"❌ 无法解析时间: '{time_str}'使用默认值180s (3分钟) 😅")
return 180.0
value = float(match.group(1))
unit = match.group(2) or 's' # 默认单位为秒
# 转换为秒
if unit in ['min', 'minute']:
time_sec = value * 60.0 # min -> s
debug_print(f"🕐 时间转换: {value} 分钟 → {time_sec}s ⏰")
elif unit in ['h', 'hr', 'hour']:
time_sec = value * 3600.0 # h -> s
debug_print(f"🕐 时间转换: {value} 小时 → {time_sec}s ({time_sec/60:.1f}分钟) ⏰")
elif unit in ['d', 'day']:
time_sec = value * 86400.0 # d -> s
debug_print(f"🕐 时间转换: {value} 天 → {time_sec}s ({time_sec/3600:.1f}小时) ⏰")
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"🕐 时间转换: {value}s → {time_sec}s (已是秒) ⏰")
return float(time_sec) # 🔧 确保返回float
def find_rotavap_device(G: nx.DiGraph, vessel: str = None) -> Optional[str]:
"""
@@ -201,16 +141,7 @@ def generate_evaporate_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌟" * 20)
debug_print("🌪️ 开始生成蒸发协议(支持单位和体积运算)✨")

View File

@@ -1,13 +1,13 @@
from typing import List, Dict, Any, Optional
import networkx as nx
import logging
from .utils.vessel_parser import get_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🧪 [FILTER] {message}", flush=True)
logger.info(f"[FILTER] {message}")
def find_filter_device(G: nx.DiGraph) -> str:
@@ -51,7 +51,7 @@ def validate_vessel(G: nx.DiGraph, vessel: str, vessel_type: str = "容器") ->
def generate_filter_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
filtrate_vessel: str = "",
filtrate_vessel: dict = {"id": "waste"},
**kwargs
) -> List[Dict[str, Any]]:
"""
@@ -68,16 +68,8 @@ def generate_filter_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
filtrate_vessel_id, filtrate_vessel_data = get_vessel(filtrate_vessel)
debug_print("🌊" * 20)
debug_print("🚀 开始生成过滤协议(支持体积运算)✨")
@@ -111,7 +103,7 @@ def generate_filter_protocol(
# 验证可选参数
debug_print(" 🔍 验证可选参数...")
if filtrate_vessel:
validate_vessel(G, filtrate_vessel, "滤液容器")
validate_vessel(G, filtrate_vessel_id, "滤液容器")
debug_print(" 🌊 模式: 过滤并收集滤液 💧")
else:
debug_print(" 🧱 模式: 过滤并收集固体 🔬")
@@ -168,8 +160,8 @@ def generate_filter_protocol(
# 使用pump protocol转移液体到过滤器
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=filter_device,
from_vessel={"id": vessel_id}, # 🔧 使用 vessel_id
to_vessel={"id": filter_device},
volume=0.0, # 转移所有液体
amount="",
time=0.0,
@@ -220,8 +212,8 @@ def generate_filter_protocol(
# 构建过滤动作参数
debug_print(" ⚙️ 构建过滤参数...")
filter_kwargs = {
"vessel": filter_device, # 过滤器设备
"filtrate_vessel": filtrate_vessel, # 滤液容器(可能为空)
"vessel": {"id": filter_device}, # 过滤器设备
"filtrate_vessel": {"id": filtrate_vessel_id}, # 滤液容器(可能为空)
"stir": kwargs.get("stir", False),
"stir_speed": kwargs.get("stir_speed", 0.0),
"temp": kwargs.get("temp", 25.0),
@@ -252,8 +244,8 @@ def generate_filter_protocol(
# === 收集滤液(如果需要)===
debug_print("📍 步骤5: 收集滤液... 💧")
if filtrate_vessel:
debug_print(f" 🧪 收集滤液: {filter_device}{filtrate_vessel} 💧")
if filtrate_vessel_id and filtrate_vessel_id not in G.neighbors(filter_device):
debug_print(f" 🧪 收集滤液: {filter_device}{filtrate_vessel_id} 💧")
try:
debug_print(" 🔄 开始执行收集操作...")
@@ -282,20 +274,20 @@ def generate_filter_protocol(
debug_print(" 🔧 更新滤液容器体积...")
# 更新filtrate_vessel在图中的体积如果它是节点
if filtrate_vessel in G.nodes():
if 'data' not in G.nodes[filtrate_vessel]:
G.nodes[filtrate_vessel]['data'] = {}
if filtrate_vessel_id in G.nodes():
if 'data' not in G.nodes[filtrate_vessel_id]:
G.nodes[filtrate_vessel_id]['data'] = {}
current_filtrate_volume = G.nodes[filtrate_vessel]['data'].get('liquid_volume', 0.0)
current_filtrate_volume = G.nodes[filtrate_vessel_id]['data'].get('liquid_volume', 0.0)
if isinstance(current_filtrate_volume, list):
if len(current_filtrate_volume) > 0:
G.nodes[filtrate_vessel]['data']['liquid_volume'][0] += expected_filtrate_volume
G.nodes[filtrate_vessel_id]['data']['liquid_volume'][0] += expected_filtrate_volume
else:
G.nodes[filtrate_vessel]['data']['liquid_volume'] = [expected_filtrate_volume]
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = [expected_filtrate_volume]
else:
G.nodes[filtrate_vessel]['data']['liquid_volume'] = current_filtrate_volume + expected_filtrate_volume
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = current_filtrate_volume + expected_filtrate_volume
debug_print(f" 📊 滤液容器 {filtrate_vessel} 体积增加 {expected_filtrate_volume:.2f}mL")
debug_print(f" 📊 滤液容器 {filtrate_vessel_id} 体积增加 {expected_filtrate_volume:.2f}mL")
else:
debug_print(" ⚠️ 收集协议返回空序列 🤔")
@@ -360,7 +352,7 @@ def generate_filter_protocol(
debug_print(f"📊 总动作数: {len(action_sequence)} 个 📝")
debug_print(f"🥽 过滤容器: {vessel_id} 🧪")
debug_print(f"🌊 过滤器设备: {filter_device} 🔧")
debug_print(f"💧 滤液容器: {filtrate_vessel or '无(保留固体)'} 🧱")
debug_print(f"💧 滤液容器: {filtrate_vessel_id or '无(保留固体)'} 🧱")
debug_print(f"⏱️ 预计总时间: {(len(action_sequence) * 5):.0f} 秒 ⌛")
if original_liquid_volume > 0:
debug_print(f"📊 体积变化统计:")
@@ -372,4 +364,3 @@ def generate_filter_protocol(
debug_print("🎊" * 20)
return action_sequence

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@@ -2,81 +2,15 @@ from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🌡️ [HEATCHILL] {message}", flush=True)
logger.info(f"[HEATCHILL] {message}")
def parse_time_input(time_input: Union[str, float, int]) -> float:
"""
解析时间输入(统一函数)
Args:
time_input: 时间输入(如 "30 min", "1 h", "300", "?", 60.0
Returns:
float: 时间(秒)
"""
if not time_input:
return 300.0
# 🔢 处理数值输入
if isinstance(time_input, (int, float)):
result = float(time_input)
debug_print(f"⏰ 数值时间: {time_input}{result}s")
return result
# 📝 处理字符串输入
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间: '{time_str}'")
# ❓ 特殊值处理
special_times = {
'?': 300.0, 'unknown': 300.0, 'tbd': 300.0,
'overnight': 43200.0, 'several hours': 10800.0,
'few hours': 7200.0, 'long time': 3600.0, 'short time': 300.0
}
if time_str in special_times:
result = special_times[time_str]
debug_print(f"🎯 特殊时间: '{time_str}'{result}s ({result/60:.1f}分钟)")
return result
# 🔢 纯数字处理
try:
result = float(time_str)
debug_print(f"⏰ 纯数字: {time_str}{result}s")
return result
except ValueError:
pass
# 📐 正则表达式解析
pattern = r'(\d+\.?\d*)\s*([a-z]*)'
match = re.match(pattern, time_str)
if not match:
debug_print(f"⚠️ 无法解析时间: '{time_str}',使用默认值: 300s")
return 300.0
value = float(match.group(1))
unit = match.group(2) or 's'
# 📏 单位转换
unit_multipliers = {
's': 1.0, 'sec': 1.0, 'second': 1.0, 'seconds': 1.0,
'm': 60.0, 'min': 60.0, 'mins': 60.0, 'minute': 60.0, 'minutes': 60.0,
'h': 3600.0, 'hr': 3600.0, 'hrs': 3600.0, 'hour': 3600.0, 'hours': 3600.0,
'd': 86400.0, 'day': 86400.0, 'days': 86400.0
}
multiplier = unit_multipliers.get(unit, 1.0)
result = value * multiplier
debug_print(f"✅ 时间解析: '{time_str}'{value} {unit}{result}s ({result/60:.1f}分钟)")
return result
def parse_temp_input(temp_input: Union[str, float], default_temp: float = 25.0) -> float:
"""
@@ -217,16 +151,7 @@ def generate_heat_chill_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌡️" * 20)
debug_print("🚀 开始生成加热冷却协议支持vessel字典")
@@ -295,7 +220,7 @@ def generate_heat_chill_protocol(
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": vessel,
"temp": float(final_temp),
"time": float(final_time),
"stir": bool(stir),
@@ -329,7 +254,7 @@ def generate_heat_chill_to_temp_protocol(
**kwargs
) -> List[Dict[str, Any]]:
"""生成加热到指定温度的协议(简化版)"""
vessel_id = vessel["id"]
vessel_id, _ = get_vessel(vessel)
debug_print(f"🌡️ 生成加热到温度协议: {vessel_id}{temp}°C")
return generate_heat_chill_protocol(G, vessel, temp, time, **kwargs)
@@ -343,7 +268,7 @@ def generate_heat_chill_start_protocol(
"""生成开始加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
vessel_id, _ = get_vessel(vessel)
debug_print("🔥 开始生成启动加热协议 ✨")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id}), 🌡️ temp: {temp}°C")
@@ -361,7 +286,6 @@ def generate_heat_chill_start_protocol(
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"temp": temp,
"purpose": purpose or f"开始加热到 {temp}°C"
}
@@ -378,7 +302,7 @@ def generate_heat_chill_stop_protocol(
"""生成停止加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
vessel_id, _ = get_vessel(vessel)
debug_print("🛑 开始生成停止加热协议 ✨")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id})")
@@ -396,10 +320,8 @@ def generate_heat_chill_stop_protocol(
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": vessel_id # 🔧 使用 vessel_id
}
}]
debug_print(f"✅ 停止加热协议生成完成 🎯")
return action_sequence

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@@ -1,5 +1,6 @@
import networkx as nx
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel
def parse_temperature(temp_str: str) -> float:
@@ -170,16 +171,7 @@ def generate_hydrogenate_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []

File diff suppressed because it is too large Load Diff

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@@ -2,91 +2,17 @@ import networkx as nx
import re
import logging
from typing import List, Dict, Any, Tuple, Union
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.unit_parser import parse_volume_input
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"💎 [RECRYSTALLIZE] {message}", flush=True)
logger.info(f"[RECRYSTALLIZE] {message}")
def parse_volume_with_units(volume_input: Union[str, float, int], default_unit: str = "mL") -> float:
"""
解析带单位的体积输入
Args:
volume_input: 体积输入(如 "100 mL", "2.5 L", "500", "?", 100.0
default_unit: 默认单位(默认为毫升)
Returns:
float: 体积(毫升)
"""
if not volume_input:
debug_print("⚠️ 体积输入为空,返回 0.0mL 📦")
return 0.0
# 处理数值输入
if isinstance(volume_input, (int, float)):
result = float(volume_input)
debug_print(f"🔢 数值体积输入: {volume_input}{result}mL默认单位💧")
return result
# 处理字符串输入
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积字符串: '{volume_str}' 📝")
# 处理特殊值
if volume_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_volume = 50.0 # 50mL默认值
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL 🎯")
return default_volume
# 如果是纯数字,使用默认单位
try:
value = float(volume_str)
if default_unit.lower() in ["ml", "milliliter"]:
result = value
elif default_unit.lower() in ["l", "liter"]:
result = value * 1000.0
elif default_unit.lower() in ["μl", "ul", "microliter"]:
result = value / 1000.0
else:
result = value # 默认mL
debug_print(f"🔢 纯数字输入: {volume_str}{result}mL单位: {default_unit})📏")
return result
except ValueError:
pass
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter)?', volume_clean)
if not match:
debug_print(f"⚠️ 无法解析体积: '{volume_str}',使用默认值: 50mL 🎯")
return 50.0
value = float(match.group(1))
unit = match.group(2) or default_unit.lower()
# 转换为毫升
if unit in ['l', 'liter']:
volume = value * 1000.0 # L -> mL
debug_print(f"📏 升转毫升: {value}L → {volume}mL 💧")
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
debug_print(f"📏 微升转毫升: {value}μL → {volume}mL 💧")
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"📏 毫升单位: {value}mL → {volume}mL 💧")
debug_print(f"✅ 体积解析完成: '{volume_str}'{volume}mL ✨")
return volume
def parse_ratio(ratio_str: str) -> Tuple[float, float]:
"""
解析比例字符串,支持多种格式
@@ -136,131 +62,6 @@ def parse_ratio(ratio_str: str) -> Tuple[float, float]:
return 1.0, 1.0
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器
Args:
G: 网络图
solvent: 溶剂名称
Returns:
str: 溶剂容器ID
"""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器... 🧪")
# 构建可能的容器名称
possible_names = [
f"flask_{solvent}",
f"bottle_{solvent}",
f"reagent_{solvent}",
f"reagent_bottle_{solvent}",
f"{solvent}_flask",
f"{solvent}_bottle",
f"{solvent}",
f"vessel_{solvent}",
]
debug_print(f"📋 候选容器名称: {possible_names[:3]}... (共{len(possible_names)}个) 📝")
# 第一步:通过容器名称匹配
debug_print(" 🎯 步骤1: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f" 🎉 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步通过模糊匹配节点ID和名称
debug_print(" 🔍 步骤2: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
if solvent.lower() in node_id.lower() or solvent.lower() in node_name:
debug_print(f" 🎉 通过模糊匹配找到容器: {node_id} (名称: {node_name}) ✨")
return node_id
# 第三步:通过配置中的试剂信息匹配
debug_print(" 🧪 步骤3: 配置试剂信息匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
# 检查 config 中的 reagent 字段
node_config = G.nodes[node_id].get('config', {})
config_reagent = node_config.get('reagent', '').lower()
if config_reagent and solvent.lower() == config_reagent:
debug_print(f" 🎉 通过config.reagent匹配找到容器: {node_id} (试剂: {config_reagent}) ✨")
return node_id
# 第四步:通过数据中的试剂信息匹配
debug_print(" 🧪 步骤4: 数据试剂信息匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
# 检查 data 中的 reagent_name 字段
reagent_name = vessel_data.get('reagent_name', '').lower()
if reagent_name and solvent.lower() == reagent_name:
debug_print(f" 🎉 通过data.reagent_name匹配找到容器: {node_id} (试剂: {reagent_name}) ✨")
return node_id
# 检查 data 中的液体信息
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
if solvent.lower() in liquid_type:
debug_print(f" 🎉 通过液体类型匹配找到容器: {node_id} (液体类型: {liquid_type}) ✨")
return node_id
# 第五步:部分匹配(如果前面都没找到)
debug_print(" 🔍 步骤5: 部分匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_config = G.nodes[node_id].get('config', {})
node_data = G.nodes[node_id].get('data', {})
node_name = G.nodes[node_id].get('name', '').lower()
config_reagent = node_config.get('reagent', '').lower()
data_reagent = node_data.get('reagent_name', '').lower()
# 检查是否包含溶剂名称
if (solvent.lower() in config_reagent or
solvent.lower() in data_reagent or
solvent.lower() in node_name or
solvent.lower() in node_id.lower()):
debug_print(f" 🎉 通过部分匹配找到容器: {node_id}")
debug_print(f" - 节点名称: {node_name}")
debug_print(f" - 配置试剂: {config_reagent}")
debug_print(f" - 数据试剂: {data_reagent}")
return node_id
# 调试信息:列出所有容器
debug_print(" 🔎 调试信息:列出所有容器...")
container_list = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_config = G.nodes[node_id].get('config', {})
node_data = G.nodes[node_id].get('data', {})
node_name = G.nodes[node_id].get('name', '')
container_info = {
'id': node_id,
'name': node_name,
'config_reagent': node_config.get('reagent', ''),
'data_reagent': node_data.get('reagent_name', '')
}
container_list.append(container_info)
debug_print(f" - 容器: {node_id}, 名称: {node_name}, config试剂: {node_config.get('reagent', '')}, data试剂: {node_data.get('reagent_name', '')}")
debug_print(f"❌ 找不到溶剂 '{solvent}' 对应的容器 😭")
debug_print(f"🔍 查找的溶剂: '{solvent}' (小写: '{solvent.lower()}')")
debug_print(f"📊 总共发现 {len(container_list)} 个容器")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器")
def generate_recrystallize_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
@@ -287,16 +88,7 @@ def generate_recrystallize_protocol(
"""
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
@@ -330,7 +122,7 @@ def generate_recrystallize_protocol(
# 2. 解析体积(支持单位)
debug_print("📍 步骤2: 解析体积(支持单位)... 💧")
final_volume = parse_volume_with_units(volume, "mL")
final_volume = parse_volume_input(volume, "mL")
debug_print(f"🎯 体积解析完成: {volume}{final_volume}mL ✨")
# 3. 解析比例
@@ -582,7 +374,7 @@ def test_recrystallize_protocol():
debug_print("💧 测试体积解析...")
test_volumes = ["100 mL", "2.5 L", "500", "50.5", "?", "invalid"]
for vol in test_volumes:
parsed = parse_volume_with_units(vol)
parsed = parse_volume_input(vol)
debug_print(f" 📊 体积 '{vol}' -> {parsed}mL")
# 测试比例解析

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@@ -8,7 +8,6 @@ logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🏛️ [RUN_COLUMN] {message}", flush=True)
logger.info(f"[RUN_COLUMN] {message}")
def parse_percentage(pct_str: str) -> float:

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@@ -1,8 +1,12 @@
from functools import partial
import networkx as nx
import re
import logging
import sys
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
@@ -20,48 +24,472 @@ def debug_print(message):
try:
# 确保消息是字符串格式
safe_message = str(message)
print(f"🌀 [SEPARATE] {safe_message}", flush=True)
logger.info(f"[SEPARATE] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
print(f"🌀 [SEPARATE] {safe_message}", flush=True)
logger.info(f"[SEPARATE] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
print(f"🌀 [SEPARATE] {fallback_message}", flush=True)
logger.info(f"[SEPARATE] {fallback_message}")
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
create_action_log = partial(action_log, prefix="[SEPARATE]")
def generate_separate_protocol(
G: nx.DiGraph,
# 🔧 基础参数支持XDL的vessel参数
vessel: dict = None, # 🔧 修改:从字符串改为字典类型
purpose: str = "separate", # 分离目的
product_phase: str = "top", # 产物相
# 🔧 可选的详细参数
from_vessel: Union[str, dict] = "", # 源容器通常在separate前已经transfer了
separation_vessel: Union[str, dict] = "", # 分离容器与vessel同义
to_vessel: Union[str, dict] = "", # 目标容器(可选)
waste_phase_to_vessel: Union[str, dict] = "", # 废相目标容器
product_vessel: Union[str, dict] = "", # XDL: 产物容器与to_vessel同义
waste_vessel: Union[str, dict] = "", # XDL: 废液容器与waste_phase_to_vessel同义
# 🔧 溶剂相关参数
solvent: str = "", # 溶剂名称
solvent_volume: Union[str, float] = 0.0, # 溶剂体积
volume: Union[str, float] = 0.0, # XDL: 体积与solvent_volume同义
# 🔧 操作参数
through: str = "", # 通过材料
repeats: int = 1, # 重复次数
stir_time: float = 30.0, # 搅拌时间(秒)
stir_speed: float = 300.0, # 搅拌速度
settling_time: float = 300.0, # 沉降时间(秒)
**kwargs
) -> List[Dict[str, Any]]:
"""
生成分离操作的协议序列 - 支持vessel字典和体积运算
支持XDL参数格式
- vessel: 分离容器字典(必需)
- purpose: "wash", "extract", "separate"
- product_phase: "top", "bottom"
- product_vessel: 产物收集容器
- waste_vessel: 废液收集容器
- solvent: 溶剂名称
- volume: "200 mL", "?" 或数值
- repeats: 重复次数
分离流程:
1. (可选)添加溶剂到分离容器
2. 搅拌混合
3. 静置分层
4. 收集指定相到目标容器
5. 重复指定次数
"""
# 🔧 核心修改vessel参数兼容处理
if vessel is None:
if isinstance(separation_vessel, dict):
vessel = separation_vessel
else:
raise ValueError("必须提供vessel字典参数")
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌀" * 20)
debug_print("🚀 开始生成分离协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🎯 分离目的: '{purpose}'")
debug_print(f" 📊 产物相: '{product_phase}'")
debug_print(f" 💧 溶剂: '{solvent}'")
debug_print(f" 📏 体积: {volume} (类型: {type(volume)})")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f" 🎯 产物容器: '{product_vessel}'")
debug_print(f" 🗑️ 废液容器: '{waste_vessel}'")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("🌀" * 20)
action_sequence = []
# 🔧 新增:记录分离前的容器状态
debug_print("🔍 记录分离前容器状态...")
original_liquid_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 分离前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证和标准化 ===
debug_print("🔍 步骤1: 参数验证和标准化...")
action_sequence.append(create_action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"分离目的: {purpose}", "🧪"))
action_sequence.append(create_action_log(f"产物相: {product_phase}", "📊"))
# 统一容器参数 - 支持字典和字符串
def extract_vessel_id(vessel_param):
if isinstance(vessel_param, dict):
return vessel_param.get("id", "")
elif isinstance(vessel_param, str):
return vessel_param
else:
return ""
final_vessel_id, _ = vessel_id
final_to_vessel_id, _ = get_vessel(to_vessel) or get_vessel(product_vessel)
final_waste_vessel_id, _ = get_vessel(waste_phase_to_vessel) or get_vessel(waste_vessel)
# 统一体积参数
final_volume = parse_volume_input(volume or solvent_volume)
# 🔧 修复确保repeats至少为1
if repeats <= 0:
repeats = 1
debug_print(f"⚠️ 重复次数参数 <= 0自动设置为 1")
debug_print(f"🔧 标准化后的参数:")
debug_print(f" 🥼 分离容器: '{final_vessel_id}'")
debug_print(f" 🎯 产物容器: '{final_to_vessel_id}'")
debug_print(f" 🗑️ 废液容器: '{final_waste_vessel_id}'")
debug_print(f" 📏 溶剂体积: {final_volume}mL")
debug_print(f" 🔄 重复次数: {repeats}")
action_sequence.append(create_action_log(f"分离容器: {final_vessel_id}", "🧪"))
action_sequence.append(create_action_log(f"溶剂体积: {final_volume}mL", "📏"))
action_sequence.append(create_action_log(f"重复次数: {repeats}", "🔄"))
# 验证必需参数
if not purpose:
purpose = "separate"
if not product_phase:
product_phase = "top"
if purpose not in ["wash", "extract", "separate"]:
debug_print(f"⚠️ 未知的分离目的 '{purpose}',使用默认值 'separate'")
purpose = "separate"
action_sequence.append(create_action_log(f"未知目的,使用: {purpose}", "⚠️"))
if product_phase not in ["top", "bottom"]:
debug_print(f"⚠️ 未知的产物相 '{product_phase}',使用默认值 'top'")
product_phase = "top"
action_sequence.append(create_action_log(f"未知相别,使用: {product_phase}", "⚠️"))
debug_print("✅ 参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# === 查找设备 ===
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
# 查找分离器设备
separator_device = find_separator_device(G, final_vessel_id) # 🔧 使用 final_vessel_id
if separator_device:
action_sequence.append(create_action_log(f"找到分离器设备: {separator_device}", "🧪"))
else:
debug_print("⚠️ 未找到分离器设备,可能无法执行分离")
action_sequence.append(create_action_log("未找到分离器设备", "⚠️"))
# 查找搅拌器
stirrer_device = find_connected_stirrer(G, final_vessel_id) # 🔧 使用 final_vessel_id
if stirrer_device:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_device}", "🌪️"))
else:
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
# 查找溶剂容器(如果需要)
solvent_vessel = ""
if solvent and solvent.strip():
solvent_vessel = find_solvent_vessel(G, solvent)
if solvent_vessel:
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "💧"))
else:
action_sequence.append(create_action_log(f"未找到溶剂容器: {solvent}", "⚠️"))
debug_print(f"📊 设备配置:")
debug_print(f" 🧪 分离器设备: '{separator_device}'")
debug_print(f" 🌪️ 搅拌器设备: '{stirrer_device}'")
debug_print(f" 💧 溶剂容器: '{solvent_vessel}'")
# === 执行分离流程 ===
debug_print("🔍 步骤3: 执行分离流程...")
action_sequence.append(create_action_log("开始分离工作流程", "🎯"))
# 🔧 新增:体积变化跟踪变量
current_volume = original_liquid_volume
try:
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
for repeat_idx in range(repeats):
cycle_num = repeat_idx + 1
debug_print(f"🔄 第{cycle_num}轮: 开始分离循环 {cycle_num}/{repeats}")
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄"))
# 步骤3.1: 添加溶剂(如果需要)
if solvent_vessel and final_volume > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 添加溶剂 {solvent} ({final_volume}mL)")
action_sequence.append(create_action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧"))
try:
# 使用pump protocol添加溶剂
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
to_vessel=final_vessel_id, # 🔧 使用 final_vessel_id
volume=final_volume,
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.5,
transfer_flowrate=0.5,
rate_spec="",
event="",
through="",
**kwargs
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 溶剂添加完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 🔧 新增:更新体积 - 添加溶剂后
current_volume += final_volume
update_vessel_volume(vessel, G, current_volume, f"添加{final_volume}mL {solvent}")
except Exception as e:
debug_print(f"❌ 溶剂添加失败: {str(e)}")
action_sequence.append(create_action_log(f"溶剂添加失败: {str(e)}", ""))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 无需添加溶剂")
action_sequence.append(create_action_log("无需添加溶剂", "⏭️"))
# 步骤3.2: 启动搅拌(如果有搅拌器)
if stirrer_device and stir_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 开始搅拌 ({stir_speed}rpm持续 {stir_time}s)")
action_sequence.append(create_action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "start_stir",
"action_kwargs": {
"vessel": final_vessel_id, # 🔧 使用 final_vessel_id
"stir_speed": stir_speed,
"purpose": f"分离混合 - {purpose}"
}
})
# 搅拌等待
stir_minutes = stir_time / 60
action_sequence.append(create_action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": stir_time}
})
# 停止搅拌
action_sequence.append(create_action_log("停止搅拌器", "🛑"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "stop_stir",
"action_kwargs": {"vessel": final_vessel_id} # 🔧 使用 final_vessel_id
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 无需搅拌")
action_sequence.append(create_action_log("无需搅拌", "⏭️"))
# 步骤3.3: 静置分层
if settling_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 静置分层 ({settling_time}s)")
settling_minutes = settling_time / 60
action_sequence.append(create_action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": settling_time}
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 未指定静置时间")
action_sequence.append(create_action_log("未指定静置时间", "⏭️"))
# 步骤3.4: 执行分离操作
if separator_device:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 执行分离操作")
action_sequence.append(create_action_log(f"执行分离: 收集{product_phase}", "🧪"))
# 🔧 替换为具体的分离操作逻辑基于old版本
# 首先进行分液判断(电导突跃)
action_sequence.append({
"device_id": separator_device,
"action_name": "valve_open",
"action_kwargs": {
"command": "delta > 0.05"
}
})
# 估算每相的体积(假设大致平分)
phase_volume = current_volume / 2
# 智能查找分离容器底部
separation_vessel_bottom = find_separation_vessel_bottom(G, final_vessel_id) # ✅
if product_phase == "bottom":
debug_print(f"🔄 收集底相产物到 {final_to_vessel_id}")
action_sequence.append(create_action_log("收集底相产物", "📦"))
# 产物转移到目标瓶
if final_to_vessel_id:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=separation_vessel_bottom,
to_vessel=final_to_vessel_id,
volume=current_volume,
flowrate=2.5,
**kwargs
)
action_sequence.extend(pump_actions)
# 放出上面那一相60秒后关阀门
action_sequence.append({
"device_id": separator_device,
"action_name": "valve_open",
"action_kwargs": {
"command": "time > 60"
}
})
# 弃去上面那一相进废液
if final_waste_vessel_id:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=separation_vessel_bottom,
to_vessel=final_waste_vessel_id,
volume=current_volume,
flowrate=2.5,
**kwargs
)
action_sequence.extend(pump_actions)
elif product_phase == "top":
debug_print(f"🔄 收集上相产物到 {final_to_vessel_id}")
action_sequence.append(create_action_log("收集上相产物", "📦"))
# 弃去下面那一相进废液
if final_waste_vessel_id:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=separation_vessel_bottom,
to_vessel=final_waste_vessel_id,
volume=phase_volume,
flowrate=2.5,
**kwargs
)
action_sequence.extend(pump_actions)
# 放出上面那一相60秒后关阀门
action_sequence.append({
"device_id": separator_device,
"action_name": "valve_open",
"action_kwargs": {
"command": "time > 60"
}
})
# 产物转移到目标瓶
if final_to_vessel_id:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=separation_vessel_bottom,
to_vessel=final_to_vessel_id,
volume=phase_volume,
flowrate=2.5,
**kwargs
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 分离操作已完成")
action_sequence.append(create_action_log("分离操作完成", ""))
# 🔧 新增:分离后体积估算
separated_volume = phase_volume * 0.95 # 假设5%损失,只保留产物相体积
update_vessel_volume(vessel, G, separated_volume, f"分离操作后(第{cycle_num}轮)")
current_volume = separated_volume
# 收集结果
if final_to_vessel_id:
action_sequence.append(
create_action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦"))
if final_waste_vessel_id:
action_sequence.append(create_action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️"))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 无分离器设备,跳过分离")
action_sequence.append(create_action_log("无分离器设备可用", ""))
# 添加等待时间模拟分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# 🔧 新增如果不是最后一次从中转瓶转移回分液漏斗基于old版本逻辑
if repeat_idx < repeats - 1 and final_to_vessel_id and final_to_vessel_id != final_vessel_id:
debug_print(f"🔄 第{cycle_num}轮: 产物转移回分离容器准备下一轮")
action_sequence.append(create_action_log("产物转回分离容器,准备下一轮", "🔄"))
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=final_to_vessel_id,
to_vessel=final_vessel_id,
volume=current_volume,
flowrate=2.5,
**kwargs
)
action_sequence.extend(pump_actions)
# 更新体积回到分离容器
update_vessel_volume(vessel, G, current_volume, f"产物转回分离容器(第{cycle_num}轮后)")
# 循环间等待(除了最后一次)
if repeat_idx < repeats - 1:
debug_print(f"🔄 第{cycle_num}轮: 等待下一次循环...")
action_sequence.append(create_action_log("等待下一次循环...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
else:
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟"))
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"[日志] {message}"
debug_print(safe_message)
logger.info(safe_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}
debug_print(f"❌ 分离工作流程执行失败: {str(e)}")
action_sequence.append(create_action_log(f"分离工作流程失败: {str(e)}", ""))
# 🔧 新增:分离完成后的最终状态报告
final_liquid_volume = get_vessel_liquid_volume(vessel)
# === 最终结果 ===
total_time = (stir_time + settling_time + 15) * repeats # 估算总时间
debug_print("🌀" * 20)
debug_print(f"🎉 分离协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time / 60:.1f} 分钟)")
debug_print(f" 🥼 分离容器: {final_vessel_id}")
debug_print(f" 🎯 分离目的: {purpose}")
debug_print(f" 📊 产物相: {product_phase}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f"💧 体积变化统计:")
debug_print(f" - 分离前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 分离后体积: {final_liquid_volume:.2f}mL")
if solvent:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL × {repeats}轮 = {final_volume * repeats:.2f}mL)")
if final_to_vessel_id:
debug_print(f" 🎯 产物容器: {final_to_vessel_id}")
if final_waste_vessel_id:
debug_print(f" 🗑️ 废液容器: {final_waste_vessel_id}")
debug_print("🌀" * 20)
# 添加完成日志
summary_msg = f"分离协议完成: {final_vessel_id} ({purpose}{repeats} 次循环)"
if solvent:
summary_msg += f",使用 {final_volume * repeats:.2f}mL {solvent}"
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
@@ -364,386 +792,54 @@ def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, descrip
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def generate_separate_protocol(
G: nx.DiGraph,
# 🔧 基础参数支持XDL的vessel参数
vessel: dict = None, # 🔧 修改:从字符串改为字典类型
purpose: str = "separate", # 分离目的
product_phase: str = "top", # 产物相
# 🔧 可选的详细参数
from_vessel: Union[str, dict] = "", # 源容器通常在separate前已经transfer了
separation_vessel: Union[str, dict] = "", # 分离容器与vessel同义
to_vessel: Union[str, dict] = "", # 目标容器(可选)
waste_phase_to_vessel: Union[str, dict] = "", # 废相目标容器
product_vessel: Union[str, dict] = "", # XDL: 产物容器与to_vessel同义
waste_vessel: Union[str, dict] = "", # XDL: 废液容器与waste_phase_to_vessel同义
# 🔧 溶剂相关参数
solvent: str = "", # 溶剂名称
solvent_volume: Union[str, float] = 0.0, # 溶剂体积
volume: Union[str, float] = 0.0, # XDL: 体积与solvent_volume同义
# 🔧 操作参数
through: str = "", # 通过材料
repeats: int = 1, # 重复次数
stir_time: float = 30.0, # 搅拌时间(秒)
stir_speed: float = 300.0, # 搅拌速度
settling_time: float = 300.0, # 沉降时间(秒)
**kwargs
) -> List[Dict[str, Any]]:
"""
生成分离操作的协议序列 - 支持vessel字典和体积运算
支持XDL参数格式
- vessel: 分离容器字典(必需)
- purpose: "wash", "extract", "separate"
- product_phase: "top", "bottom"
- product_vessel: 产物收集容器
- waste_vessel: 废液收集容器
- solvent: 溶剂名称
- volume: "200 mL", "?" 或数值
- repeats: 重复次数
分离流程:
1. (可选)添加溶剂到分离容器
2. 搅拌混合
3. 静置分层
4. 收集指定相到目标容器
5. 重复指定次数
"""
# 🔧 核心修改vessel参数兼容处理
if vessel is None:
if isinstance(separation_vessel, dict):
vessel = separation_vessel
else:
raise ValueError("必须提供vessel字典参数")
# 🔧 核心修改从字典中提取容器ID
# 统一处理vessel参数
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = G.nodes[vessel_id].get("data", {}) if vessel_id in G.nodes() else {}
debug_print("🌀" * 20)
debug_print("🚀 开始生成分离协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🎯 分离目的: '{purpose}'")
debug_print(f" 📊 产物相: '{product_phase}'")
debug_print(f" 💧 溶剂: '{solvent}'")
debug_print(f" 📏 体积: {volume} (类型: {type(volume)})")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f" 🎯 产物容器: '{product_vessel}'")
debug_print(f" 🗑️ 废液容器: '{waste_vessel}'")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("🌀" * 20)
action_sequence = []
# 🔧 新增:记录分离前的容器状态
debug_print("🔍 记录分离前容器状态...")
original_liquid_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 分离前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证和标准化 ===
debug_print("🔍 步骤1: 参数验证和标准化...")
action_sequence.append(create_action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"分离目的: {purpose}", "🧪"))
action_sequence.append(create_action_log(f"产物相: {product_phase}", "📊"))
# 统一容器参数 - 支持字典和字符串
def extract_vessel_id(vessel_param):
if isinstance(vessel_param, dict):
return vessel_param.get("id", "")
elif isinstance(vessel_param, str):
return vessel_param
else:
return ""
final_vessel_id = vessel_id
final_to_vessel_id = extract_vessel_id(to_vessel) or extract_vessel_id(product_vessel)
final_waste_vessel_id = extract_vessel_id(waste_phase_to_vessel) or extract_vessel_id(waste_vessel)
# 统一体积参数
final_volume = parse_volume_input(volume or solvent_volume)
# 🔧 修复确保repeats至少为1
if repeats <= 0:
repeats = 1
debug_print(f"⚠️ 重复次数参数 <= 0自动设置为 1")
debug_print(f"🔧 标准化后的参数:")
debug_print(f" 🥼 分离容器: '{final_vessel_id}'")
debug_print(f" 🎯 产物容器: '{final_to_vessel_id}'")
debug_print(f" 🗑️ 废液容器: '{final_waste_vessel_id}'")
debug_print(f" 📏 溶剂体积: {final_volume}mL")
debug_print(f" 🔄 重复次数: {repeats}")
action_sequence.append(create_action_log(f"分离容器: {final_vessel_id}", "🧪"))
action_sequence.append(create_action_log(f"溶剂体积: {final_volume}mL", "📏"))
action_sequence.append(create_action_log(f"重复次数: {repeats}", "🔄"))
# 验证必需参数
if not purpose:
purpose = "separate"
if not product_phase:
product_phase = "top"
if purpose not in ["wash", "extract", "separate"]:
debug_print(f"⚠️ 未知的分离目的 '{purpose}',使用默认值 'separate'")
purpose = "separate"
action_sequence.append(create_action_log(f"未知目的,使用: {purpose}", "⚠️"))
if product_phase not in ["top", "bottom"]:
debug_print(f"⚠️ 未知的产物相 '{product_phase}',使用默认值 'top'")
product_phase = "top"
action_sequence.append(create_action_log(f"未知相别,使用: {product_phase}", "⚠️"))
debug_print("✅ 参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# === 查找设备 ===
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
# 查找分离器设备
separator_device = find_separator_device(G, final_vessel_id) # 🔧 使用 final_vessel_id
if separator_device:
action_sequence.append(create_action_log(f"找到分离器设备: {separator_device}", "🧪"))
else:
debug_print("⚠️ 未找到分离器设备,可能无法执行分离")
action_sequence.append(create_action_log("未找到分离器设备", "⚠️"))
# 查找搅拌器
stirrer_device = find_connected_stirrer(G, final_vessel_id) # 🔧 使用 final_vessel_id
if stirrer_device:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_device}", "🌪️"))
else:
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
# 查找溶剂容器(如果需要)
solvent_vessel = ""
if solvent and solvent.strip():
solvent_vessel = find_solvent_vessel(G, solvent)
if solvent_vessel:
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "💧"))
else:
action_sequence.append(create_action_log(f"未找到溶剂容器: {solvent}", "⚠️"))
debug_print(f"📊 设备配置:")
debug_print(f" 🧪 分离器设备: '{separator_device}'")
debug_print(f" 🌪️ 搅拌器设备: '{stirrer_device}'")
debug_print(f" 💧 溶剂容器: '{solvent_vessel}'")
# === 执行分离流程 ===
debug_print("🔍 步骤3: 执行分离流程...")
action_sequence.append(create_action_log("开始分离工作流程", "🎯"))
# 🔧 新增:体积变化跟踪变量
current_volume = original_liquid_volume
try:
for repeat_idx in range(repeats):
cycle_num = repeat_idx + 1
debug_print(f"🔄 第{cycle_num}轮: 开始分离循环 {cycle_num}/{repeats}")
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄"))
# 步骤3.1: 添加溶剂(如果需要)
if solvent_vessel and final_volume > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 添加溶剂 {solvent} ({final_volume}mL)")
action_sequence.append(create_action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧"))
try:
# 使用pump protocol添加溶剂
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
to_vessel=final_vessel_id, # 🔧 使用 final_vessel_id
volume=final_volume,
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.5,
transfer_flowrate=0.5,
rate_spec="",
event="",
through="",
**kwargs
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 溶剂添加完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 🔧 新增:更新体积 - 添加溶剂后
current_volume += final_volume
update_vessel_volume(vessel, G, current_volume, f"添加{final_volume}mL {solvent}")
except Exception as e:
debug_print(f"❌ 溶剂添加失败: {str(e)}")
action_sequence.append(create_action_log(f"溶剂添加失败: {str(e)}", ""))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 无需添加溶剂")
action_sequence.append(create_action_log("无需添加溶剂", "⏭️"))
# 步骤3.2: 启动搅拌(如果有搅拌器)
if stirrer_device and stir_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 开始搅拌 ({stir_speed}rpm持续 {stir_time}s)")
action_sequence.append(create_action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "start_stir",
"action_kwargs": {
"vessel": final_vessel_id, # 🔧 使用 final_vessel_id
"stir_speed": stir_speed,
"purpose": f"分离混合 - {purpose}"
}
})
# 搅拌等待
stir_minutes = stir_time / 60
action_sequence.append(create_action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": stir_time}
})
# 停止搅拌
action_sequence.append(create_action_log("停止搅拌器", "🛑"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "stop_stir",
"action_kwargs": {"vessel": final_vessel_id} # 🔧 使用 final_vessel_id
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 无需搅拌")
action_sequence.append(create_action_log("无需搅拌", "⏭️"))
# 步骤3.3: 静置分层
if settling_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 静置分层 ({settling_time}s)")
settling_minutes = settling_time / 60
action_sequence.append(create_action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": settling_time}
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 未指定静置时间")
action_sequence.append(create_action_log("未指定静置时间", "⏭️"))
# 步骤3.4: 执行分离操作
if separator_device:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 执行分离操作")
action_sequence.append(create_action_log(f"执行分离: 收集{product_phase}", "🧪"))
# 调用分离器设备的separate方法
separate_action = {
"device_id": separator_device,
"action_name": "separate",
"action_kwargs": {
"purpose": purpose,
"product_phase": product_phase,
"from_vessel": extract_vessel_id(from_vessel) or final_vessel_id, # 🔧 使用vessel_id
"separation_vessel": final_vessel_id, # 🔧 使用 final_vessel_id
"to_vessel": final_to_vessel_id or final_vessel_id, # 🔧 使用vessel_id
"waste_phase_to_vessel": final_waste_vessel_id or final_vessel_id, # 🔧 使用vessel_id
"solvent": solvent,
"solvent_volume": final_volume,
"through": through,
"repeats": 1, # 每次调用只做一次分离
"stir_time": 0, # 已经在上面完成
"stir_speed": stir_speed,
"settling_time": 0 # 已经在上面完成
}
}
action_sequence.append(separate_action)
debug_print(f"✅ 分离操作已添加")
action_sequence.append(create_action_log("分离操作完成", ""))
# 🔧 新增:分离后体积估算(分离通常不改变总体积,但会重新分配)
# 假设分离后保持体积(实际情况可能有少量损失)
separated_volume = current_volume * 0.95 # 假设5%损失
update_vessel_volume(vessel, G, separated_volume, f"分离操作后(第{cycle_num}轮)")
current_volume = separated_volume
# 收集结果
if final_to_vessel_id:
action_sequence.append(create_action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦"))
if final_waste_vessel_id:
action_sequence.append(create_action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️"))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 无分离器设备,跳过分离")
action_sequence.append(create_action_log("无分离器设备可用", ""))
# 添加等待时间模拟分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# 循环间等待(除了最后一次)
if repeat_idx < repeats - 1:
debug_print(f"🔄 第{cycle_num}轮: 等待下一次循环...")
action_sequence.append(create_action_log("等待下一次循环...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
else:
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟"))
except Exception as e:
debug_print(f"❌ 分离工作流程执行失败: {str(e)}")
action_sequence.append(create_action_log(f"分离工作流程失败: {str(e)}", ""))
# 添加错误日志
action_sequence.append({
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"分离操作失败: {str(e)}"
}
})
# 🔧 新增:分离完成后的最终状态报告
final_liquid_volume = get_vessel_liquid_volume(vessel)
# === 最终结果 ===
total_time = (stir_time + settling_time + 15) * repeats # 估算总时间
debug_print("🌀" * 20)
debug_print(f"🎉 分离协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time/60:.1f} 分钟)")
debug_print(f" 🥼 分离容器: {final_vessel_id}")
debug_print(f" 🎯 分离目的: {purpose}")
debug_print(f" 📊 产物相: {product_phase}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f"💧 体积变化统计:")
debug_print(f" - 分离前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 分离后体积: {final_liquid_volume:.2f}mL")
if solvent:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL × {repeats}轮 = {final_volume * repeats:.2f}mL)")
if final_to_vessel_id:
debug_print(f" 🎯 产物容器: {final_to_vessel_id}")
if final_waste_vessel_id:
debug_print(f" 🗑️ 废液容器: {final_waste_vessel_id}")
debug_print("🌀" * 20)
# 添加完成日志
summary_msg = f"分离协议完成: {final_vessel_id} ({purpose}{repeats} 次循环)"
if solvent:
summary_msg += f",使用 {final_volume * repeats:.2f}mL {solvent}"
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
def find_separation_vessel_bottom(G: nx.DiGraph, vessel_id: str) -> str:
"""
智能查找分离容器的底部容器假设为flask或vessel类型
Args:
G: 网络图
vessel_id: 分离容器ID
Returns:
str: 底部容器ID
"""
debug_print(f"🔍 查找分离容器 {vessel_id} 的底部容器...")
# 方法1根据命名规则推测
possible_bottoms = [
f"{vessel_id}_bottom",
f"flask_{vessel_id}",
f"vessel_{vessel_id}",
f"{vessel_id}_flask",
f"{vessel_id}_vessel"
]
debug_print(f"📋 尝试的底部容器名称: {possible_bottoms}")
for bottom_id in possible_bottoms:
if bottom_id in G.nodes():
node_type = G.nodes[bottom_id].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到底部容器: {bottom_id}")
return bottom_id
# 方法2查找与分离器相连的容器假设底部容器会与分离器相连
debug_print(f"📋 方法2: 查找连接的容器...")
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'separator' in node_class.lower():
# 检查分离器的输入端
if G.has_edge(node, vessel_id):
for neighbor in G.neighbors(node):
if neighbor != vessel_id:
neighbor_type = G.nodes[neighbor].get('type', '')
if neighbor_type == 'container':
debug_print(f"✅ 通过连接找到底部容器: {neighbor}")
return neighbor
debug_print(f"❌ 无法找到分离容器 {vessel_id} 的底部容器")
return ""

View File

@@ -3,81 +3,14 @@ import networkx as nx
import logging
import re
from .utils.unit_parser import parse_time_input
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🌪️ [STIR] {message}", flush=True)
logger.info(f"[STIR] {message}")
def parse_time_input(time_input: Union[str, float, int], default_unit: str = "s") -> float:
"""
统一的时间解析函数(精简版)
Args:
time_input: 时间输入(如 "30 min", "1 h", "300", "?", 60.0
default_unit: 默认单位(默认为秒)
Returns:
float: 时间(秒)
"""
if not time_input:
return 100.0 # 默认100秒
# 🔢 处理数值输入
if isinstance(time_input, (int, float)):
result = float(time_input)
debug_print(f"⏰ 数值时间: {time_input}{result}s")
return result
# 📝 处理字符串输入
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间: '{time_str}'")
# ❓ 特殊值处理
special_times = {
'?': 300.0, 'unknown': 300.0, 'tbd': 300.0,
'briefly': 30.0, 'quickly': 60.0, 'slowly': 600.0,
'several minutes': 300.0, 'few minutes': 180.0, 'overnight': 3600.0
}
if time_str in special_times:
result = special_times[time_str]
debug_print(f"🎯 特殊时间: '{time_str}'{result}s ({result/60:.1f}分钟)")
return result
# 🔢 纯数字处理
try:
result = float(time_str)
debug_print(f"⏰ 纯数字: {time_str}{result}s")
return result
except ValueError:
pass
# 📐 正则表达式解析
pattern = r'(\d+\.?\d*)\s*([a-z]*)'
match = re.match(pattern, time_str)
if not match:
debug_print(f"⚠️ 无法解析时间: '{time_str}',使用默认值: 100s")
return 100.0
value = float(match.group(1))
unit = match.group(2) or default_unit
# 📏 单位转换
unit_multipliers = {
's': 1.0, 'sec': 1.0, 'second': 1.0, 'seconds': 1.0,
'm': 60.0, 'min': 60.0, 'mins': 60.0, 'minute': 60.0, 'minutes': 60.0,
'h': 3600.0, 'hr': 3600.0, 'hrs': 3600.0, 'hour': 3600.0, 'hours': 3600.0,
'd': 86400.0, 'day': 86400.0, 'days': 86400.0
}
multiplier = unit_multipliers.get(unit, 1.0)
result = value * multiplier
debug_print(f"✅ 时间解析: '{time_str}'{value} {unit}{result}s ({result/60:.1f}分钟)")
return result
def find_connected_stirrer(G: nx.DiGraph, vessel: str = None) -> str:
"""查找与指定容器相连的搅拌设备"""

View File

@@ -1,79 +0,0 @@
from typing import List, Dict, Any
import networkx as nx
def generate_transfer_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
volume: float,
amount: str = "",
time: float = 0,
viscous: bool = False,
rinsing_solvent: str = "",
rinsing_volume: float = 0.0,
rinsing_repeats: int = 0,
solid: bool = False
) -> List[Dict[str, Any]]:
"""
生成液体转移操作的协议序列
Args:
G: 有向图,节点为设备和容器
from_vessel: 源容器
to_vessel: 目标容器
volume: 转移体积 (mL)
amount: 数量描述 (可选)
time: 转移时间 (秒,可选)
viscous: 是否为粘性液体
rinsing_solvent: 冲洗溶剂 (可选)
rinsing_volume: 冲洗体积 (mL可选)
rinsing_repeats: 冲洗重复次数
solid: 是否涉及固体
Returns:
List[Dict[str, Any]]: 转移操作的动作序列
Raises:
ValueError: 当找不到合适的转移设备时抛出异常
Examples:
transfer_protocol = generate_transfer_protocol(G, "flask_1", "reactor", 10.0)
"""
action_sequence = []
# 查找虚拟转移泵设备用于液体转移 - 修复:应该查找 virtual_transfer_pump
pump_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_transfer_pump']
if not pump_nodes:
raise ValueError("没有找到可用的转移泵设备进行液体转移")
# 使用第一个可用的泵
pump_id = pump_nodes[0]
# 验证容器是否存在
if from_vessel not in G.nodes():
raise ValueError(f"源容器 {from_vessel} 不存在于图中")
if to_vessel not in G.nodes():
raise ValueError(f"目标容器 {to_vessel} 不存在于图中")
# 执行液体转移操作 - 参数完全匹配Transfer.action
action_sequence.append({
"device_id": pump_id,
"action_name": "transfer",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"volume": volume,
"amount": amount,
"time": time,
"viscous": viscous,
"rinsing_solvent": rinsing_solvent,
"rinsing_volume": rinsing_volume,
"rinsing_repeats": rinsing_repeats,
"solid": solid
}
})
return action_sequence

View File

@@ -0,0 +1,36 @@
# 🆕 创建进度日志动作
import logging
from typing import Dict, Any
logger = logging.getLogger(__name__)
def debug_print(message, prefix="[UNIT_PARSER]"):
"""调试输出"""
logger.info(f"{prefix} {message}")
def action_log(message: str, emoji: str = "📝", prefix="[HIGH-LEVEL OPERATION]") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{prefix} {emoji} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"{prefix} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}

View File

@@ -4,108 +4,12 @@
"""
import re
import logging
from typing import Union
logger = logging.getLogger(__name__)
from .logger_util import debug_print
def debug_print(message, prefix="[UNIT_PARSER]"):
"""调试输出"""
print(f"{prefix} {message}", flush=True)
logger.info(f"{prefix} {message}")
def parse_time_with_units(time_input: Union[str, float, int], default_unit: str = "s") -> float:
"""
解析带单位的时间输入
Args:
time_input: 时间输入(如 "30 min", "1 h", "300", "?", 60.0
default_unit: 默认单位(默认为秒)
Returns:
float: 时间(秒)
"""
if not time_input:
return 0.0
# 处理数值输入
if isinstance(time_input, (int, float)):
result = float(time_input)
debug_print(f"数值时间输入: {time_input}{result}s默认单位")
return result
# 处理字符串输入
time_str = str(time_input).lower().strip()
debug_print(f"解析时间字符串: '{time_str}'")
# 处理特殊值
if time_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_time = 300.0 # 5分钟默认值
debug_print(f"检测到未知时间,使用默认值: {default_time}s")
return default_time
# 如果是纯数字,使用默认单位
try:
value = float(time_str)
if default_unit == "s":
result = value
elif default_unit in ["min", "minute"]:
result = value * 60.0
elif default_unit in ["h", "hour"]:
result = value * 3600.0
else:
result = value # 默认秒
debug_print(f"纯数字输入: {time_str}{result}s单位: {default_unit}")
return result
except ValueError:
pass
# 使用正则表达式匹配数字和单位
pattern = r'(\d+\.?\d*)\s*([a-z]*)'
match = re.match(pattern, time_str)
if not match:
debug_print(f"⚠️ 无法解析时间: '{time_str}',使用默认值: 60s")
return 60.0
value = float(match.group(1))
unit = match.group(2) or default_unit
# 单位转换映射
unit_multipliers = {
# 秒
's': 1.0,
'sec': 1.0,
'second': 1.0,
'seconds': 1.0,
# 分钟
'm': 60.0,
'min': 60.0,
'mins': 60.0,
'minute': 60.0,
'minutes': 60.0,
# 小时
'h': 3600.0,
'hr': 3600.0,
'hrs': 3600.0,
'hour': 3600.0,
'hours': 3600.0,
# 天
'd': 86400.0,
'day': 86400.0,
'days': 86400.0,
}
multiplier = unit_multipliers.get(unit, 1.0)
result = value * multiplier
debug_print(f"时间解析: '{time_str}'{value} {unit}{result}s")
return result
def parse_volume_with_units(volume_input: Union[str, float, int], default_unit: str = "mL") -> float:
def parse_volume_input(volume_input: Union[str, float, int], default_unit: str = "mL") -> float:
"""
解析带单位的体积输入
@@ -175,6 +79,111 @@ def parse_volume_with_units(volume_input: Union[str, float, int], default_unit:
debug_print(f"体积解析: '{volume_str}'{value} {unit}{volume}mL")
return volume
def parse_mass_input(mass_input: Union[str, float]) -> float:
"""
解析质量输入,支持带单位的字符串
Args:
mass_input: 质量输入(如 "19.3 g", "4.5 g", 2.5
Returns:
float: 质量(克)
"""
if isinstance(mass_input, (int, float)):
debug_print(f"⚖️ 质量输入为数值: {mass_input}g")
return float(mass_input)
if not mass_input or not str(mass_input).strip():
debug_print(f"⚠️ 质量输入为空返回0.0g")
return 0.0
mass_str = str(mass_input).lower().strip()
debug_print(f"🔍 解析质量输入: '{mass_str}'")
# 移除空格并提取数字和单位
mass_clean = re.sub(r'\s+', '', mass_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(g|mg|kg|gram|milligram|kilogram)?', mass_clean)
if not match:
debug_print(f"❌ 无法解析质量: '{mass_str}'返回0.0g")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 'g' # 默认单位为克
# 转换为克
if unit in ['mg', 'milligram']:
mass = value / 1000.0 # mg -> g
debug_print(f"🔄 质量转换: {value}mg → {mass}g")
elif unit in ['kg', 'kilogram']:
mass = value * 1000.0 # kg -> g
debug_print(f"🔄 质量转换: {value}kg → {mass}g")
else: # g, gram 或默认
mass = value # 已经是g
debug_print(f"✅ 质量已为g: {mass}g")
return mass
def parse_time_input(time_input: Union[str, float]) -> float:
"""
解析时间输入,支持带单位的字符串
Args:
time_input: 时间输入(如 "1 h", "20 min", "30 s", 60.0
Returns:
float: 时间(秒)
"""
if isinstance(time_input, (int, float)):
debug_print(f"⏱️ 时间输入为数值: {time_input}")
return float(time_input)
if not time_input or not str(time_input).strip():
debug_print(f"⚠️ 时间输入为空返回0秒")
return 0.0
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间输入: '{time_str}'")
# 处理未知时间
if time_str in ['?', 'unknown', 'tbd']:
default_time = 60.0 # 默认1分钟
debug_print(f"❓ 检测到未知时间,使用默认值: {default_time}s (1分钟) ⏰")
return default_time
# 移除空格并提取数字和单位
time_clean = re.sub(r'\s+', '', time_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(s|sec|second|min|minute|h|hr|hour|d|day)?', time_clean)
if not match:
debug_print(f"❌ 无法解析时间: '{time_str}'返回0s")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 's' # 默认单位为秒
# 转换为秒
if unit in ['m', 'min', 'minute', 'mins', 'minutes']:
time_sec = value * 60.0 # min -> s
debug_print(f"🔄 时间转换: {value}分钟 → {time_sec}")
elif unit in ['h', 'hr', 'hour', 'hrs', 'hours']:
time_sec = value * 3600.0 # h -> s
debug_print(f"🔄 时间转换: {value}小时 → {time_sec}")
elif unit in ['d', 'day', 'days']:
time_sec = value * 86400.0 # d -> s
debug_print(f"🔄 时间转换: {value}天 → {time_sec}")
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"✅ 时间已为秒: {time_sec}")
return time_sec
# 测试函数
def test_unit_parser():
"""测试单位解析功能"""
@@ -187,7 +196,7 @@ def test_unit_parser():
print("\n时间解析测试:")
for time_input in time_tests:
result = parse_time_with_units(time_input)
result = parse_time_input(time_input)
print(f" {time_input}{result}s ({result/60:.1f}min)")
# 测试体积解析
@@ -197,7 +206,7 @@ def test_unit_parser():
print("\n体积解析测试:")
for volume_input in volume_tests:
result = parse_volume_with_units(volume_input)
result = parse_volume_input(volume_input)
print(f" {volume_input}{result}mL")
print("\n✅ 测试完成")

View File

@@ -0,0 +1,281 @@
import networkx as nx
from .logger_util import debug_print
def get_vessel(vessel):
"""
统一处理vessel参数返回vessel_id和vessel_data。
Args:
vessel: 可以是一个字典或字符串表示vessel的ID或数据。
Returns:
tuple: 包含vessel_id和vessel_data。
"""
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = {}
return vessel_id, vessel_data
def find_reagent_vessel(G: nx.DiGraph, reagent: str) -> str:
"""增强版试剂容器查找,支持固体和液体"""
debug_print(f"🔍 开始查找试剂 '{reagent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索reagent字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == reagent.lower() or config_reagent == reagent.lower():
debug_print(f"✅ 通过reagent字段精确匹配到容器: {node} 🎯")
return node
# 模糊匹配
if (reagent.lower() in reagent_name and reagent_name) or \
(reagent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过reagent字段模糊匹配到容器: {node} 🔍")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则查找...")
reagent_clean = reagent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
reagent_clean,
f"flask_{reagent_clean}",
f"bottle_{reagent_clean}",
f"vessel_{reagent_clean}",
f"{reagent_clean}_flask",
f"{reagent_clean}_bottle",
f"reagent_{reagent_clean}",
f"reagent_bottle_{reagent_clean}",
f"solid_reagent_bottle_{reagent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🔍 尝试的容器名称: {possible_names[:5]}... (共{len(possible_names)}个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name} 📝")
return name
# 🔧 方法3节点名称模糊匹配
debug_print(f"📋 方法3: 节点名称模糊匹配...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if node_data.get('type') == 'container':
# 检查节点名称是否包含试剂名称
if reagent_clean in node_id.lower():
debug_print(f"✅ 通过节点名称模糊匹配到容器: {node_id} 🔍")
return node_id
# 检查液体类型匹配
vessel_data = node_data.get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == reagent.lower():
debug_print(f"✅ 通过液体类型匹配到容器: {node_id} 💧")
return node_id
# 🔧 方法4使用第一个试剂瓶作为备选
debug_print(f"📋 方法4: 查找备选试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备选试剂瓶: {node_id} 🔄")
return node_id
debug_print(f"❌ 所有方法都失败了,无法找到容器!")
raise ValueError(f"找不到试剂 '{reagent}' 对应的容器")
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器
Args:
G: 网络图
solvent: 溶剂名称
Returns:
str: 溶剂容器ID
"""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器... 🧪")
# 第四步:通过数据中的试剂信息匹配
debug_print(" 🧪 步骤1: 数据试剂信息匹配...")
for node_id in G.nodes():
debug_print(f"查找 id {node_id}, type={G.nodes[node_id].get('type')}, data={G.nodes[node_id].get('data', {})} 的容器...")
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
# 检查 data 中的 reagent_name 字段
reagent_name = vessel_data.get('reagent_name', '').lower()
if reagent_name and solvent.lower() == reagent_name:
debug_print(f" 🎉 通过data.reagent_name匹配找到容器: {node_id} (试剂: {reagent_name}) ✨")
return node_id
# 检查 data 中的液体信息
liquids = vessel_data.get('liquid', []) or vessel_data.get('liquids', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
if solvent.lower() == liquid_type or solvent.lower() in liquid_type:
debug_print(f" 🎉 通过液体类型匹配找到容器: {node_id} (液体类型: {liquid_type}) ✨")
return node_id
# 构建可能的容器名称
possible_names = [
f"flask_{solvent}",
f"bottle_{solvent}",
f"reagent_{solvent}",
f"reagent_bottle_{solvent}",
f"{solvent}_flask",
f"{solvent}_bottle",
f"{solvent}",
f"vessel_{solvent}",
]
debug_print(f"📋 候选容器名称: {possible_names[:3]}... (共{len(possible_names)}个) 📝")
# 第一步:通过容器名称匹配
debug_print(" 🎯 步骤2: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f" 🎉 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步通过模糊匹配节点ID和名称
debug_print(" 🔍 步骤3: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
if solvent.lower() in node_id.lower() or solvent.lower() in node_name:
debug_print(f" 🎉 通过模糊匹配找到容器: {node_id} (名称: {node_name}) ✨")
return node_id
# 第三步:通过配置中的试剂信息匹配
debug_print(" 🧪 步骤4: 配置试剂信息匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
# 检查 config 中的 reagent 字段
node_config = G.nodes[node_id].get('config', {})
config_reagent = node_config.get('reagent', '').lower()
if config_reagent and solvent.lower() == config_reagent:
debug_print(f" 🎉 通过config.reagent匹配找到容器: {node_id} (试剂: {config_reagent}) ✨")
return node_id
# 第五步:部分匹配(如果前面都没找到)
debug_print(" 🔍 步骤5: 部分匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_config = G.nodes[node_id].get('config', {})
node_data = G.nodes[node_id].get('data', {})
node_name = G.nodes[node_id].get('name', '').lower()
config_reagent = node_config.get('reagent', '').lower()
data_reagent = node_data.get('reagent_name', '').lower()
# 检查是否包含溶剂名称
if (solvent.lower() in config_reagent or
solvent.lower() in data_reagent or
solvent.lower() in node_name or
solvent.lower() in node_id.lower()):
debug_print(f" 🎉 通过部分匹配找到容器: {node_id}")
debug_print(f" - 节点名称: {node_name}")
debug_print(f" - 配置试剂: {config_reagent}")
debug_print(f" - 数据试剂: {data_reagent}")
return node_id
# 调试信息:列出所有容器
debug_print(" 🔎 调试信息:列出所有容器...")
container_list = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_config = G.nodes[node_id].get('config', {})
node_data = G.nodes[node_id].get('data', {})
node_name = G.nodes[node_id].get('name', '')
container_info = {
'id': node_id,
'name': node_name,
'config_reagent': node_config.get('reagent', ''),
'data_reagent': node_data.get('reagent_name', '')
}
container_list.append(container_info)
debug_print(
f" - 容器: {node_id}, 名称: {node_name}, config试剂: {node_config.get('reagent', '')}, data试剂: {node_data.get('reagent_name', '')}")
debug_print(f"❌ 找不到溶剂 '{solvent}' 对应的容器 😭")
debug_print(f"🔍 查找的溶剂: '{solvent}' (小写: '{solvent.lower()}')")
debug_print(f"📊 总共发现 {len(container_list)} 个容器")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器")
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 共找到 {len(stirrer_nodes)} 个搅拌器")
# 查找连接到容器的搅拌器
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
# 返回第一个搅拌器
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return ""
def find_solid_dispenser(G: nx.DiGraph) -> str:
"""查找固体加样器"""
debug_print(f"🔍 查找固体加样器...")
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'solid_dispenser' in node_class or 'dispenser' in node_class:
debug_print(f"✅ 找到固体加样器: {node} 🥄")
return node
debug_print(f"❌ 未找到固体加样器")
return ""

View File

@@ -3,118 +3,14 @@ import networkx as nx
import logging
import re
from .utils.unit_parser import parse_time_input, parse_volume_input
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"🧼 [WASH_SOLID] {message}", flush=True)
logger.info(f"[WASH_SOLID] {message}")
def parse_time_input(time_input: Union[str, float, int]) -> float:
"""统一时间解析函数(精简版)"""
if not time_input:
return 0.0
# 🔢 处理数值输入
if isinstance(time_input, (int, float)):
result = float(time_input)
debug_print(f"⏰ 数值时间: {time_input}{result}s")
return result
# 📝 处理字符串输入
time_str = str(time_input).lower().strip()
# ❓ 特殊值快速处理
special_times = {
'?': 60.0, 'unknown': 60.0, 'briefly': 30.0,
'quickly': 45.0, 'slowly': 120.0
}
if time_str in special_times:
result = special_times[time_str]
debug_print(f"🎯 特殊时间: '{time_str}'{result}s")
return result
# 🔢 数字提取(简化正则)
try:
# 提取数字
numbers = re.findall(r'\d+\.?\d*', time_str)
if numbers:
value = float(numbers[0])
# 简化单位判断
if any(unit in time_str for unit in ['min', 'm']):
result = value * 60.0
elif any(unit in time_str for unit in ['h', 'hour']):
result = value * 3600.0
else:
result = value # 默认秒
debug_print(f"✅ 时间解析: '{time_str}'{result}s")
return result
except:
pass
debug_print(f"⚠️ 时间解析失败: '{time_str}'使用默认60s")
return 60.0
def parse_volume_input(volume: Union[float, str], volume_spec: str = "", mass: str = "") -> float:
"""统一体积解析函数(精简版)"""
debug_print(f"💧 解析体积: volume={volume}, spec='{volume_spec}', mass='{mass}'")
# 🎯 优先级1volume_spec快速映射
if volume_spec:
spec_map = {
'small': 20.0, 'medium': 50.0, 'large': 100.0,
'minimal': 10.0, 'normal': 50.0, 'generous': 150.0
}
for key, val in spec_map.items():
if key in volume_spec.lower():
debug_print(f"🎯 规格匹配: '{volume_spec}'{val}mL")
return val
# 🧮 优先级2mass转体积简化1g=1mL
if mass:
try:
numbers = re.findall(r'\d+\.?\d*', mass)
if numbers:
value = float(numbers[0])
if 'mg' in mass.lower():
result = value / 1000.0
elif 'kg' in mass.lower():
result = value * 1000.0
else:
result = value # 默认g
debug_print(f"⚖️ 质量转换: {mass}{result}mL")
return result
except:
pass
# 📦 优先级3volume
if volume:
if isinstance(volume, (int, float)):
result = float(volume)
debug_print(f"💧 数值体积: {volume}{result}mL")
return result
elif isinstance(volume, str):
try:
# 提取数字
numbers = re.findall(r'\d+\.?\d*', volume)
if numbers:
value = float(numbers[0])
# 简化单位判断
if 'l' in volume.lower() and 'ml' not in volume.lower():
result = value * 1000.0 # L转mL
else:
result = value # 默认mL
debug_print(f"💧 字符串体积: '{volume}'{result}mL")
return result
except:
pass
# 默认值
debug_print(f"⚠️ 体积解析失败使用默认50mL")
return 50.0
def find_solvent_source(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂源(精简版)"""

View File

@@ -1,14 +1,18 @@
#!/usr/bin/env python
# coding=utf-8
# 定义配置变量和加载函数
import base64
import traceback
import os
import importlib.util
from typing import Optional
from unilabos.utils import logger
class BasicConfig:
ENV = "pro" # 'test'
ak = ""
sk = ""
working_dir = ""
config_path = ""
is_host_mode = True
@@ -17,6 +21,17 @@ class BasicConfig:
machine_name = "undefined"
vis_2d_enable = False
enable_resource_load = True
# 通信协议配置
communication_protocol = "mqtt" # 支持: "mqtt", "websocket"
@classmethod
def auth_secret(cls):
# base64编码
if not cls.ak or not cls.sk:
return ""
target = f"{cls.ak}:{cls.sk}"
base64_target = base64.b64encode(target.encode("utf-8")).decode("utf-8")
return base64_target
# MQTT配置
@@ -38,6 +53,13 @@ class MQConfig:
key_file = "" # 相对config.py所在目录的路径
# WebSocket配置
class WSConfig:
reconnect_interval = 5 # 重连间隔(秒)
max_reconnect_attempts = 999 # 最大重连次数
ping_interval = 30 # ping间隔
# OSS上传配置
class OSSUploadConfig:
api_host = ""
@@ -65,7 +87,7 @@ class ROSConfig:
]
def _update_config_from_module(module, override_labid: str):
def _update_config_from_module(module, override_labid: Optional[str]):
for name, obj in globals().items():
if isinstance(obj, type) and name.endswith("Config"):
if hasattr(module, name) and isinstance(getattr(module, name), type):
@@ -74,7 +96,7 @@ def _update_config_from_module(module, override_labid: str):
setattr(obj, attr, getattr(getattr(module, name), attr))
# 更新OSS认证
if len(OSSUploadConfig.authorization) == 0:
OSSUploadConfig.authorization = f"lab {MQConfig.lab_id}"
OSSUploadConfig.authorization = f"Lab {MQConfig.lab_id}"
# 对 ca_file cert_file key_file 进行初始化
if override_labid:
MQConfig.lab_id = override_labid
@@ -159,7 +181,6 @@ def _update_config_from_env():
logger.warning(f"[ENV] 解析环境变量 {env_key} 失败: {e}")
def load_config(config_path=None, override_labid=None):
# 如果提供了配置文件路径,从该文件导入配置
if config_path:

View File

@@ -12,6 +12,7 @@ class MQConfig:
cert_file = "./lab.crt"
key_file = "./lab.key"
# HTTP配置
class HTTPConfig:
remote_addr = "https://uni-lab.bohrium.com/api/v1"

View File

@@ -0,0 +1,454 @@
"""
纽扣电池组装工作站
Coin Cell Assembly Workstation
继承工作站基类,实现纽扣电池特定功能
"""
from typing import Dict, Any, List, Optional, Union
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker
from unilabos.device_comms.workstation_base import WorkstationBase, WorkflowInfo
from unilabos.device_comms.workstation_communication import (
WorkstationCommunicationBase, CommunicationConfig, CommunicationProtocol, CoinCellCommunication
)
from unilabos.device_comms.workstation_material_management import (
MaterialManagementBase, CoinCellMaterialManagement
)
from unilabos.utils.log import logger
class CoinCellAssemblyWorkstation(WorkstationBase):
"""纽扣电池组装工作站
基于工作站基类,实现纽扣电池制造的特定功能:
1. 纽扣电池特定的通信协议
2. 纽扣电池物料管理(料板、极片、电池等)
3. 电池制造工作流
4. 质量检查工作流
"""
def __init__(
self,
device_id: str,
children: Dict[str, Dict[str, Any]],
protocol_type: Union[str, List[str]] = "BatteryManufacturingProtocol",
resource_tracker: Optional[DeviceNodeResourceTracker] = None,
modbus_config: Optional[Dict[str, Any]] = None,
deck_config: Optional[Dict[str, Any]] = None,
csv_path: str = "./coin_cell_assembly.csv",
*args,
**kwargs,
):
# 设置通信配置
modbus_config = modbus_config or {"host": "127.0.0.1", "port": 5021}
self.communication_config = CommunicationConfig(
protocol=CommunicationProtocol.MODBUS_TCP,
host=modbus_config["host"],
port=modbus_config["port"],
timeout=modbus_config.get("timeout", 5.0),
retry_count=modbus_config.get("retry_count", 3)
)
# 设置台面配置
self.deck_config = deck_config or {
"size_x": 1620.0,
"size_y": 1270.0,
"size_z": 500.0
}
# CSV地址映射文件路径
self.csv_path = csv_path
# 创建资源跟踪器(如果没有提供)
if resource_tracker is None:
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker
resource_tracker = DeviceNodeResourceTracker()
# 初始化基类
super().__init__(
device_id=device_id,
children=children,
protocol_type=protocol_type,
resource_tracker=resource_tracker,
communication_config=self.communication_config,
deck_config=self.deck_config,
*args,
**kwargs
)
logger.info(f"纽扣电池组装工作站 {device_id} 初始化完成")
def _create_communication_module(self) -> WorkstationCommunicationBase:
"""创建纽扣电池通信模块"""
return CoinCellCommunication(
communication_config=self.communication_config,
csv_path=self.csv_path
)
def _create_material_management_module(self) -> MaterialManagementBase:
"""创建纽扣电池物料管理模块"""
return CoinCellMaterialManagement(
device_id=self.device_id,
deck_config=self.deck_config,
resource_tracker=self.resource_tracker,
children_config=self.children
)
def _register_supported_workflows(self):
"""注册纽扣电池工作流"""
# 电池制造工作流
self.supported_workflows["battery_manufacturing"] = WorkflowInfo(
name="battery_manufacturing",
description="纽扣电池制造工作流",
estimated_duration=300.0, # 5分钟
required_materials=["cathode_sheet", "anode_sheet", "separator", "electrolyte"],
output_product="coin_cell_battery",
parameters_schema={
"type": "object",
"properties": {
"electrolyte_num": {
"type": "integer",
"description": "电解液瓶数",
"minimum": 1,
"maximum": 32
},
"electrolyte_volume": {
"type": "number",
"description": "电解液体积 (μL)",
"minimum": 0.1,
"maximum": 100.0
},
"assembly_pressure": {
"type": "number",
"description": "组装压力 (N)",
"minimum": 100.0,
"maximum": 5000.0
},
"cathode_material": {
"type": "string",
"description": "正极材料类型",
"enum": ["LiFePO4", "LiCoO2", "NCM", "LMO"]
},
"anode_material": {
"type": "string",
"description": "负极材料类型",
"enum": ["Graphite", "LTO", "Silicon"]
}
},
"required": ["electrolyte_num", "electrolyte_volume", "assembly_pressure"]
}
)
# 质量检查工作流
self.supported_workflows["quality_inspection"] = WorkflowInfo(
name="quality_inspection",
description="产品质量检查工作流",
estimated_duration=60.0, # 1分钟
required_materials=["finished_battery"],
output_product="quality_report",
parameters_schema={
"type": "object",
"properties": {
"test_voltage": {
"type": "boolean",
"description": "是否测试电压",
"default": True
},
"test_capacity": {
"type": "boolean",
"description": "是否测试容量",
"default": False
},
"voltage_threshold": {
"type": "number",
"description": "电压阈值 (V)",
"minimum": 2.0,
"maximum": 4.5,
"default": 3.0
}
}
}
)
# 设备初始化工作流
self.supported_workflows["device_initialization"] = WorkflowInfo(
name="device_initialization",
description="设备初始化工作流",
estimated_duration=30.0, # 30秒
required_materials=[],
output_product="ready_status",
parameters_schema={
"type": "object",
"properties": {
"auto_mode": {
"type": "boolean",
"description": "是否启用自动模式",
"default": True
}
}
}
)
# ============ 纽扣电池特定方法 ============
def get_electrode_sheet_inventory(self) -> Dict[str, int]:
"""获取极片库存统计"""
try:
sheets = self.material_management.find_electrode_sheets()
inventory = {}
for sheet in sheets:
material_type = getattr(sheet, 'material_type', 'unknown')
inventory[material_type] = inventory.get(material_type, 0) + 1
return inventory
except Exception as e:
logger.error(f"获取极片库存失败: {e}")
return {}
def get_battery_production_statistics(self) -> Dict[str, Any]:
"""获取电池生产统计"""
try:
production_data = self.communication.get_production_data()
# 添加物料统计
electrode_inventory = self.get_electrode_sheet_inventory()
battery_count = len(self.material_management.find_batteries())
return {
**production_data,
"electrode_inventory": electrode_inventory,
"finished_battery_count": battery_count,
"material_plates": len(self.material_management.find_material_plates()),
"press_slots": len(self.material_management.find_press_slots())
}
except Exception as e:
logger.error(f"获取生产统计失败: {e}")
return {"error": str(e)}
def create_new_battery(self, battery_spec: Dict[str, Any]) -> Optional[str]:
"""创建新电池资源"""
try:
from unilabos.device_comms.button_battery_station import Battery
import uuid
battery_id = f"battery_{uuid.uuid4().hex[:8]}"
battery = Battery(
name=battery_id,
diameter=battery_spec.get("diameter", 20.0),
height=battery_spec.get("height", 3.2),
max_volume=battery_spec.get("max_volume", 100.0),
barcode=battery_spec.get("barcode", "")
)
# 添加到物料管理系统
self.material_management.plr_resources[battery_id] = battery
self.material_management.resource_tracker.add_resource(battery)
logger.info(f"创建新电池资源: {battery_id}")
return battery_id
except Exception as e:
logger.error(f"创建电池资源失败: {e}")
return None
def find_available_press_slot(self) -> Optional[str]:
"""查找可用的压制槽"""
try:
press_slots = self.material_management.find_press_slots()
for slot in press_slots:
if hasattr(slot, 'has_battery') and not slot.has_battery():
return slot.name
return None
except Exception as e:
logger.error(f"查找可用压制槽失败: {e}")
return None
def get_glove_box_environment(self) -> Dict[str, Any]:
"""获取手套箱环境数据"""
try:
device_status = self.communication.get_device_status()
environment = device_status.get("environment", {})
return {
"pressure": environment.get("glove_box_pressure", 0.0),
"o2_content": environment.get("o2_content", 0.0),
"water_content": environment.get("water_content", 0.0),
"is_safe": (
environment.get("o2_content", 0.0) < 10.0 and # 氧气含量 < 10ppm
environment.get("water_content", 0.0) < 1.0 # 水分含量 < 1ppm
)
}
except Exception as e:
logger.error(f"获取手套箱环境失败: {e}")
return {"error": str(e)}
def start_data_export(self, file_path: str) -> bool:
"""开始生产数据导出"""
try:
return self.communication.start_data_export(file_path, export_interval=5.0)
except Exception as e:
logger.error(f"启动数据导出失败: {e}")
return False
def stop_data_export(self) -> bool:
"""停止生产数据导出"""
try:
return self.communication.stop_data_export()
except Exception as e:
logger.error(f"停止数据导出失败: {e}")
return False
# ============ 重写基类方法以支持纽扣电池特定功能 ============
def start_workflow(self, workflow_type: str, parameters: Dict[str, Any] = None) -> bool:
"""启动工作流(重写以支持纽扣电池特定预处理)"""
try:
# 进行纽扣电池特定的预检查
if workflow_type == "battery_manufacturing":
# 检查手套箱环境
env = self.get_glove_box_environment()
if not env.get("is_safe", False):
logger.error("手套箱环境不安全,无法启动电池制造工作流")
return False
# 检查是否有可用的压制槽
available_slot = self.find_available_press_slot()
if not available_slot:
logger.error("没有可用的压制槽,无法启动电池制造工作流")
return False
# 检查极片库存
electrode_inventory = self.get_electrode_sheet_inventory()
if not electrode_inventory.get("cathode", 0) > 0 or not electrode_inventory.get("anode", 0) > 0:
logger.error("极片库存不足,无法启动电池制造工作流")
return False
# 调用基类方法
return super().start_workflow(workflow_type, parameters)
except Exception as e:
logger.error(f"启动纽扣电池工作流失败: {e}")
return False
# ============ 纽扣电池特定状态属性 ============
@property
def electrode_sheet_count(self) -> int:
"""极片总数"""
try:
return len(self.material_management.find_electrode_sheets())
except:
return 0
@property
def battery_count(self) -> int:
"""电池总数"""
try:
return len(self.material_management.find_batteries())
except:
return 0
@property
def available_press_slots(self) -> int:
"""可用压制槽数"""
try:
press_slots = self.material_management.find_press_slots()
available = 0
for slot in press_slots:
if hasattr(slot, 'has_battery') and not slot.has_battery():
available += 1
return available
except:
return 0
@property
def environment_status(self) -> Dict[str, Any]:
"""环境状态"""
return self.get_glove_box_environment()
# ============ 工厂函数 ============
def create_coin_cell_workstation(
device_id: str,
config_file: str,
modbus_host: str = "127.0.0.1",
modbus_port: int = 5021,
csv_path: str = "./coin_cell_assembly.csv"
) -> CoinCellAssemblyWorkstation:
"""工厂函数:创建纽扣电池组装工作站
Args:
device_id: 设备ID
config_file: 配置文件路径JSON格式
modbus_host: Modbus主机地址
modbus_port: Modbus端口
csv_path: 地址映射CSV文件路径
Returns:
CoinCellAssemblyWorkstation: 工作站实例
"""
import json
try:
# 加载配置文件
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
# 提取配置
children = config.get("children", {})
deck_config = config.get("deck_config", {})
# 创建工作站
workstation = CoinCellAssemblyWorkstation(
device_id=device_id,
children=children,
modbus_config={
"host": modbus_host,
"port": modbus_port
},
deck_config=deck_config,
csv_path=csv_path
)
logger.info(f"纽扣电池工作站创建成功: {device_id}")
return workstation
except Exception as e:
logger.error(f"创建纽扣电池工作站失败: {e}")
raise
if __name__ == "__main__":
# 示例用法
workstation = create_coin_cell_workstation(
device_id="coin_cell_station_01",
config_file="./button_battery_workstation.json",
modbus_host="127.0.0.1",
modbus_port=5021
)
# 启动电池制造工作流
success = workstation.start_workflow(
"battery_manufacturing",
{
"electrolyte_num": 16,
"electrolyte_volume": 50.0,
"assembly_pressure": 2000.0,
"cathode_material": "LiFePO4",
"anode_material": "Graphite"
}
)
if success:
print("电池制造工作流启动成功")
else:
print("电池制造工作流启动失败")

View File

@@ -8,8 +8,8 @@ from pymodbus.client import ModbusSerialClient, ModbusTcpClient
from pymodbus.framer import FramerType
from typing import TypedDict
from unilabos.device_comms.modbus_plc.node.modbus import DeviceType, HoldRegister, Coil, InputRegister, DiscreteInputs, DataType, WorderOrder
from unilabos.device_comms.modbus_plc.node.modbus import Base as ModbusNodeBase
from unilabos.device_comms.modbus_plc.modbus import DeviceType, HoldRegister, Coil, InputRegister, DiscreteInputs, DataType, WorderOrder
from unilabos.device_comms.modbus_plc.modbus import Base as ModbusNodeBase
from unilabos.device_comms.universal_driver import UniversalDriver
from unilabos.utils.log import logger
import pandas as pd

View File

@@ -1,6 +1,6 @@
import time
from pymodbus.client import ModbusTcpClient
from unilabos.device_comms.modbus_plc.node.modbus import Coil, HoldRegister
from unilabos.device_comms.modbus_plc.modbus import Coil, HoldRegister
from pymodbus.payload import BinaryPayloadDecoder
from pymodbus.constants import Endian

View File

@@ -1,6 +1,6 @@
# coding=utf-8
from pymodbus.client import ModbusTcpClient
from unilabos.device_comms.modbus_plc.node.modbus import Coil
from unilabos.device_comms.modbus_plc.modbus import Coil
import time

View File

@@ -1,7 +1,7 @@
import time
from typing import Callable
from unilabos.device_comms.modbus_plc.client import TCPClient, ModbusWorkflow, WorkflowAction, load_csv
from unilabos.device_comms.modbus_plc.node.modbus import Base as ModbusNodeBase
from unilabos.device_comms.modbus_plc.modbus import Base as ModbusNodeBase
############ 第一种写法 ##############

View File

@@ -138,6 +138,8 @@ class LiquidHandlerMiddleware(LiquidHandler):
offsets: Optional[List[Coordinate]] = None,
**backend_kwargs,
):
if not offsets or (isinstance(offsets, list) and len(offsets) != len(use_channels)):
offsets = [Coordinate.zero()] * len(use_channels)
if self._simulator:
return await self._simulate_handler.discard_tips(use_channels, allow_nonzero_volume, offsets, **backend_kwargs)
return await super().discard_tips(use_channels, allow_nonzero_volume, offsets, **backend_kwargs)

View File

@@ -67,7 +67,7 @@ class PRCXI9300Deck(Deck):
class PRCXI9300Container(Plate, TipRack):
"""PRCXI 9300 的专用 Deck 类,继承自 Deck。
"""PRCXI 9300 的专用 Container 类,继承自 Plate和TipRack。
该类定义了 PRCXI 9300 的工作台布局和槽位信息。
"""

View File

@@ -0,0 +1,44 @@
import collections
from pylabrobot.resources import opentrons_96_tiprack_10ul
from pylabrobot.resources.opentrons.plates import corning_96_wellplate_360ul_flat, nest_96_wellplate_2ml_deep
from unilabos.devices.liquid_handling.prcxi.prcxi import PRCXI9300Container, PRCXI9300Trash
def get_well_container(name: str) -> PRCXI9300Container:
well_containers = corning_96_wellplate_360ul_flat(name).serialize()
plate = PRCXI9300Container(name=name, size_x=50, size_y=50, size_z=10, category="plate",
ordering=collections.OrderedDict())
plate_serialized = plate.serialize()
well_containers.update({k: v for k, v in plate_serialized.items() if k not in ["children"]})
new_plate: PRCXI9300Container = PRCXI9300Container.deserialize(well_containers)
return new_plate
def get_tip_rack(name: str) -> PRCXI9300Container:
tip_racks = opentrons_96_tiprack_10ul("name").serialize()
tip_rack = PRCXI9300Container(name=name, size_x=50, size_y=50, size_z=10, category="tip_rack",
ordering=collections.OrderedDict())
tip_rack_serialized = tip_rack.serialize()
tip_racks.update({k: v for k, v in tip_rack_serialized.items() if k not in ["children"]})
new_tip_rack: PRCXI9300Container = PRCXI9300Container.deserialize(tip_racks)
return new_tip_rack
def prcxi_96_wellplate_360ul_flat(name: str):
return get_well_container(name)
def prcxi_opentrons_96_tiprack_10ul(name: str):
return get_tip_rack(name)
def prcxi_trash(name: str = None):
return PRCXI9300Trash(name="trash", size_x=50, size_y=50, size_z=10, category="trash")
if __name__ == "__main__":
# Example usage
test_plate = prcxi_96_wellplate_360ul_flat("test_plate")
test_rack = prcxi_opentrons_96_tiprack_10ul("test_rack")
tash = prcxi_trash("trash")
print(test_plate)
print(test_rack)
print(tash)
# Output will be a dictionary representation of the PRCXI9300Container with well details

View File

@@ -1,177 +0,0 @@
import time
import threading
class MockChiller:
def __init__(self, port: str = "MOCK"):
self.port = port
self._current_temperature: float = 25.0 # 室温开始
self._target_temperature: float = 25.0
self._status: str = "Idle"
self._is_cooling: bool = False
self._is_heating: bool = False
self._vessel = "Unknown"
self._purpose = "Unknown"
# 模拟温度变化的线程
self._temperature_thread = None
self._running = True
self._temperature_thread = threading.Thread(target=self._temperature_control_loop)
self._temperature_thread.daemon = True
self._temperature_thread.start()
@property
def current_temperature(self) -> float:
"""当前温度 - 会被自动识别的设备属性"""
return self._current_temperature
@property
def target_temperature(self) -> float:
"""目标温度"""
return self._target_temperature
@property
def status(self) -> str:
"""设备状态 - 会被自动识别的设备属性"""
return self._status
@property
def is_cooling(self) -> bool:
"""是否正在冷却"""
return self._is_cooling
@property
def is_heating(self) -> bool:
"""是否正在加热"""
return self._is_heating
@property
def vessel(self) -> str:
"""当前操作的容器名称"""
return self._vessel
@property
def purpose(self) -> str:
"""当前操作目的"""
return self._purpose
def heat_chill_start(self, vessel: str, temp: float, purpose: str):
"""设置目标温度并记录容器和目的"""
self._vessel = str(vessel)
self._purpose = str(purpose)
self._target_temperature = float(temp)
diff = self._target_temperature - self._current_temperature
if abs(diff) < 0.1:
self._status = "At Target Temperature"
self._is_cooling = False
self._is_heating = False
elif diff < 0:
self._status = "Cooling"
self._is_cooling = True
self._is_heating = False
else:
self._status = "Heating"
self._is_heating = True
self._is_cooling = False
self._start_temperature_control()
return True
def heat_chill_stop(self, vessel: str):
"""停止加热/制冷"""
if vessel != self._vessel:
return {"success": False, "status": f"Wrong vessel: expected {self._vessel}, got {vessel}"}
# 停止温度控制线程,锁定当前温度
self._stop_temperature_control()
# 更新状态
self._status = "Stopped"
self._is_cooling = False
self._is_heating = False
# 重新启动线程但保持温度
self._running = True
self._temperature_thread = threading.Thread(target=self._temperature_control_loop)
self._temperature_thread.daemon = True
self._temperature_thread.start()
return {"success": True, "status": self._status}
def _start_temperature_control(self):
"""启动温度控制线程"""
self._running = True
if self._temperature_thread is None or not self._temperature_thread.is_alive():
self._temperature_thread = threading.Thread(target=self._temperature_control_loop)
self._temperature_thread.daemon = True
self._temperature_thread.start()
def _stop_temperature_control(self):
"""停止温度控制"""
self._running = False
if self._temperature_thread:
self._temperature_thread.join(timeout=1.0)
def _temperature_control_loop(self):
"""温度控制循环 - 模拟真实冷却器的温度变化"""
while self._running:
# 如果状态是 Stopped不改变温度
if self._status == "Stopped":
time.sleep(1.0)
continue
temp_diff = self._target_temperature - self._current_temperature
if abs(temp_diff) < 0.1:
self._status = "At Target Temperature"
self._is_cooling = False
self._is_heating = False
elif temp_diff < 0:
self._status = "Cooling"
self._is_cooling = True
self._is_heating = False
self._current_temperature -= 0.5
else:
self._status = "Heating"
self._is_heating = True
self._is_cooling = False
self._current_temperature += 0.3
time.sleep(1.0)
def emergency_stop(self):
"""紧急停止"""
self._status = "Emergency Stop"
self._stop_temperature_control()
self._is_cooling = False
self._is_heating = False
def get_status_info(self) -> dict:
"""获取完整状态信息"""
return {
"current_temperature": self._current_temperature,
"target_temperature": self._target_temperature,
"status": self._status,
"is_cooling": self._is_cooling,
"is_heating": self._is_heating,
"vessel": self._vessel,
"purpose": self._purpose,
}
# 用于测试的主函数
if __name__ == "__main__":
chiller = MockChiller()
# 测试基本功能
print("启动冷却器测试...")
print(f"初始状态: {chiller.get_status_info()}")
# 模拟运行10秒
for i in range(10):
time.sleep(1)
print(f"{i+1}秒: 当前温度={chiller.current_temperature:.1f}°C, 状态={chiller.status}")
chiller.emergency_stop()
print("测试完成")

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@@ -1,235 +0,0 @@
import time
import threading
class MockFilter:
def __init__(self, port: str = "MOCK"):
# 基本参数初始化
self.port = port
self._status: str = "Idle"
self._is_filtering: bool = False
# 过滤性能参数
self._flow_rate: float = 1.0 # 流速(L/min)
self._pressure_drop: float = 0.0 # 压降(Pa)
self._filter_life: float = 100.0 # 滤芯寿命(%)
# 过滤操作参数
self._vessel: str = "" # 源容器
self._filtrate_vessel: str = "" # 目标容器
self._stir: bool = False # 是否搅拌
self._stir_speed: float = 0.0 # 搅拌速度
self._temperature: float = 25.0 # 温度(℃)
self._continue_heatchill: bool = False # 是否继续加热/制冷
self._target_volume: float = 0.0 # 目标过滤体积(L)
self._filtered_volume: float = 0.0 # 已过滤体积(L)
self._progress: float = 0.0 # 过滤进度(%)
# 线程控制
self._filter_thread = None
self._running = False
@property
def status(self) -> str:
return self._status
@property
def is_filtering(self) -> bool:
return self._is_filtering
@property
def flow_rate(self) -> float:
return self._flow_rate
@property
def pressure_drop(self) -> float:
return self._pressure_drop
@property
def filter_life(self) -> float:
return self._filter_life
# 新增 property
@property
def vessel(self) -> str:
return self._vessel
@property
def filtrate_vessel(self) -> str:
return self._filtrate_vessel
@property
def filtered_volume(self) -> float:
return self._filtered_volume
@property
def progress(self) -> float:
return self._progress
@property
def stir(self) -> bool:
return self._stir
@property
def stir_speed(self) -> float:
return self._stir_speed
@property
def temperature(self) -> float:
return self._temperature
@property
def continue_heatchill(self) -> bool:
return self._continue_heatchill
@property
def target_volume(self) -> float:
return self._target_volume
def filter(self, vessel: str, filtrate_vessel: str, stir: bool = False, stir_speed: float = 0.0, temp: float = 25.0, continue_heatchill: bool = False, volume: float = 0.0) -> dict:
"""新的过滤操作"""
# 停止任何正在进行的过滤
if self._is_filtering:
self.stop_filtering()
# 验证参数
if volume <= 0:
return {"success": False, "message": "Target volume must be greater than 0"}
# 设置新的过滤参数
self._vessel = vessel
self._filtrate_vessel = filtrate_vessel
self._stir = stir
self._stir_speed = stir_speed
self._temperature = temp
self._continue_heatchill = continue_heatchill
self._target_volume = volume
# 重置过滤状态
self._filtered_volume = 0.0
self._progress = 0.0
self._status = "Starting Filter"
# 启动过滤过程
self._flow_rate = 1.0 # 设置默认流速
self._start_filter_process()
return {"success": True, "message": "Filter started"}
def stop_filtering(self):
"""停止过滤"""
self._status = "Stopping Filter"
self._stop_filter_process()
self._flow_rate = 0.0
self._is_filtering = False
self._status = "Stopped"
return True
def replace_filter(self):
"""更换滤芯"""
self._filter_life = 100.0
self._status = "Filter Replaced"
return True
def _start_filter_process(self):
"""启动过滤过程线程"""
if not self._running:
self._running = True
self._is_filtering = True
self._filter_thread = threading.Thread(target=self._filter_loop)
self._filter_thread.daemon = True
self._filter_thread.start()
def _stop_filter_process(self):
"""停止过滤过程"""
self._running = False
if self._filter_thread:
self._filter_thread.join(timeout=1.0)
def _filter_loop(self):
"""过滤进程主循环"""
update_interval = 1.0 # 更新间隔(秒)
while self._running and self._is_filtering:
try:
self._status = "Filtering"
# 计算这一秒过滤的体积 (L/min -> L/s)
volume_increment = (self._flow_rate / 60.0) * update_interval
# 更新已过滤体积
self._filtered_volume += volume_increment
# 更新进度 (避免除零错误)
if self._target_volume > 0:
self._progress = min(100.0, (self._filtered_volume / self._target_volume) * 100.0)
# 更新滤芯寿命 (每过滤1L减少0.5%寿命)
self._filter_life = max(0.0, self._filter_life - (volume_increment * 0.5))
# 更新压降 (根据滤芯寿命和流速动态计算)
life_factor = self._filter_life / 100.0 # 将寿命转换为0-1的因子
flow_factor = self._flow_rate / 2.0 # 将流速标准化(假设2L/min是标准流速)
base_pressure = 100.0 # 基础压降
# 压降随滤芯寿命降低而增加,随流速增加而增加
self._pressure_drop = base_pressure * (2 - life_factor) * flow_factor
# 检查是否完成目标体积
if self._target_volume > 0 and self._filtered_volume >= self._target_volume:
self._status = "Completed"
self._progress = 100.0
self.stop_filtering()
break
# 检查滤芯寿命
if self._filter_life <= 10.0:
self._status = "Filter Needs Replacement"
time.sleep(update_interval)
except Exception as e:
print(f"Error in filter loop: {e}")
self.emergency_stop()
break
def emergency_stop(self):
"""紧急停止"""
self._status = "Emergency Stop"
self._stop_filter_process()
self._is_filtering = False
self._flow_rate = 0.0
def get_status_info(self) -> dict:
"""扩展的状态信息"""
return {
"status": self._status,
"is_filtering": self._is_filtering,
"flow_rate": self._flow_rate,
"pressure_drop": self._pressure_drop,
"filter_life": self._filter_life,
"vessel": self._vessel,
"filtrate_vessel": self._filtrate_vessel,
"filtered_volume": self._filtered_volume,
"target_volume": self._target_volume,
"progress": self._progress,
"temperature": self._temperature,
"stir": self._stir,
"stir_speed": self._stir_speed
}
# 用于测试的主函数
if __name__ == "__main__":
filter_device = MockFilter()
# 测试基本功能
print("启动过滤器测试...")
print(f"初始状态: {filter_device.get_status_info()}")
# 模拟运行10秒
for i in range(10):
time.sleep(1)
print(
f"{i+1}秒: "
f"寿命={filter_device.filter_life:.1f}%, 状态={filter_device.status}"
)
filter_device.emergency_stop()
print("测试完成")

View File

@@ -1,247 +0,0 @@
import time
import threading
class MockHeater:
def __init__(self, port: str = "MOCK"):
self.port = port
self._current_temperature: float = 25.0 # 室温开始
self._target_temperature: float = 25.0
self._status: str = "Idle"
self._is_heating: bool = False
self._heating_power: float = 0.0 # 加热功率百分比 0-100
self._max_temperature: float = 300.0 # 最大加热温度
# 新增加的属性
self._vessel: str = "Unknown"
self._purpose: str = "Unknown"
self._stir: bool = False
self._stir_speed: float = 0.0
# 模拟加热过程的线程
self._heating_thread = None
self._running = True
self._heating_thread = threading.Thread(target=self._heating_control_loop)
self._heating_thread.daemon = True
self._heating_thread.start()
@property
def current_temperature(self) -> float:
"""当前温度 - 会被自动识别的设备属性"""
return self._current_temperature
@property
def target_temperature(self) -> float:
"""目标温度"""
return self._target_temperature
@property
def status(self) -> str:
"""设备状态 - 会被自动识别的设备属性"""
return self._status
@property
def is_heating(self) -> bool:
"""是否正在加热"""
return self._is_heating
@property
def heating_power(self) -> float:
"""加热功率百分比"""
return self._heating_power
@property
def max_temperature(self) -> float:
"""最大加热温度"""
return self._max_temperature
@property
def vessel(self) -> str:
"""当前操作的容器名称"""
return self._vessel
@property
def purpose(self) -> str:
"""操作目的"""
return self._purpose
@property
def stir(self) -> bool:
"""是否搅拌"""
return self._stir
@property
def stir_speed(self) -> float:
"""搅拌速度"""
return self._stir_speed
def heat_chill_start(self, vessel: str, temp: float, purpose: str) -> dict:
"""开始加热/制冷过程"""
self._vessel = str(vessel)
self._purpose = str(purpose)
self._target_temperature = float(temp)
diff = self._target_temperature - self._current_temperature
if abs(diff) < 0.1:
self._status = "At Target Temperature"
self._is_heating = False
elif diff > 0:
self._status = "Heating"
self._is_heating = True
else:
self._status = "Cooling Down"
self._is_heating = False
return {"success": True, "status": self._status}
def heat_chill_stop(self, vessel: str) -> dict:
"""停止加热/制冷"""
if vessel != self._vessel:
return {"success": False, "status": f"Wrong vessel: expected {self._vessel}, got {vessel}"}
self._status = "Stopped"
self._is_heating = False
self._heating_power = 0.0
return {"success": True, "status": self._status}
def heat_chill(self, vessel: str, temp: float, time: float,
stir: bool = False, stir_speed: float = 0.0,
purpose: str = "Unknown") -> dict:
"""完整的加热/制冷控制"""
self._vessel = str(vessel)
self._target_temperature = float(temp)
self._purpose = str(purpose)
self._stir = stir
self._stir_speed = stir_speed
diff = self._target_temperature - self._current_temperature
if abs(diff) < 0.1:
self._status = "At Target Temperature"
self._is_heating = False
elif diff > 0:
self._status = "Heating"
self._is_heating = True
else:
self._status = "Cooling Down"
self._is_heating = False
return {"success": True, "status": self._status}
def set_temperature(self, temperature: float):
"""设置目标温度 - 需要在注册表添加的设备动作"""
try:
temperature = float(temperature)
except ValueError:
self._status = "Error: Invalid temperature value"
return False
if temperature > self._max_temperature:
self._status = f"Error: Temperature exceeds maximum ({self._max_temperature}°C)"
return False
self._target_temperature = temperature
self._status = "Setting Temperature"
# 启动加热控制
self._start_heating_control()
return True
def set_heating_power(self, power: float):
"""设置加热功率"""
try:
power = float(power)
except ValueError:
self._status = "Error: Invalid power value"
return False
self._heating_power = max(0.0, min(100.0, power)) # 限制在0-100%
return True
def _start_heating_control(self):
"""启动加热控制线程"""
if not self._running:
self._running = True
self._heating_thread = threading.Thread(target=self._heating_control_loop)
self._heating_thread.daemon = True
self._heating_thread.start()
def _stop_heating_control(self):
"""停止加热控制"""
self._running = False
if self._heating_thread:
self._heating_thread.join(timeout=1.0)
def _heating_control_loop(self):
"""加热控制循环"""
while self._running:
# 如果状态是 Stopped不改变温度
if self._status == "Stopped":
time.sleep(1.0)
continue
temp_diff = self._target_temperature - self._current_temperature
if abs(temp_diff) < 0.1:
self._status = "At Target Temperature"
self._is_heating = False
self._heating_power = 10.0
elif temp_diff > 0:
self._status = "Heating"
self._is_heating = True
self._heating_power = min(100.0, abs(temp_diff) * 2)
self._current_temperature += 0.5
else:
self._status = "Cooling Down"
self._is_heating = False
self._heating_power = 0.0
self._current_temperature -= 0.2
time.sleep(1.0)
def emergency_stop(self):
"""紧急停止"""
self._status = "Emergency Stop"
self._stop_heating_control()
self._is_heating = False
self._heating_power = 0.0
def get_status_info(self) -> dict:
"""获取完整状态信息"""
return {
"current_temperature": self._current_temperature,
"target_temperature": self._target_temperature,
"status": self._status,
"is_heating": self._is_heating,
"heating_power": self._heating_power,
"max_temperature": self._max_temperature,
"vessel": self._vessel,
"purpose": self._purpose,
"stir": self._stir,
"stir_speed": self._stir_speed
}
# 用于测试的主函数
if __name__ == "__main__":
heater = MockHeater()
print("启动加热器测试...")
print(f"初始状态: {heater.get_status_info()}")
# 设置目标温度为80度
heater.set_temperature(80.0)
# 模拟运行15秒
try:
for i in range(15):
time.sleep(1)
status = heater.get_status_info()
print(
f"\r温度: {status['current_temperature']:.1f}°C / {status['target_temperature']:.1f}°C | "
f"功率: {status['heating_power']:.1f}% | 状态: {status['status']}",
end=""
)
except KeyboardInterrupt:
heater.emergency_stop()
print("\n测试被手动停止")
print("\n测试完成")

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@@ -1,360 +0,0 @@
import time
import threading
from datetime import datetime, timedelta
class MockPump:
def __init__(self, port: str = "MOCK"):
self.port = port
# 设备基本状态属性
self._current_device = "MockPump1" # 设备标识符
self._status: str = "Idle" # 设备状态Idle, Running, Error, Stopped
self._pump_state: str = "Stopped" # 泵运行状态Running, Stopped, Paused
# 流量相关属性
self._flow_rate: float = 0.0 # 当前流速 (mL/min)
self._target_flow_rate: float = 0.0 # 目标流速 (mL/min)
self._max_flow_rate: float = 100.0 # 最大流速 (mL/min)
self._total_volume: float = 0.0 # 累计流量 (mL)
# 压力相关属性
self._pressure: float = 0.0 # 当前压力 (bar)
self._max_pressure: float = 10.0 # 最大压力 (bar)
# 运行控制线程
self._pump_thread = None
self._running = False
self._thread_lock = threading.Lock()
# 新增 PumpTransfer 相关属性
self._from_vessel: str = ""
self._to_vessel: str = ""
self._transfer_volume: float = 0.0
self._amount: str = ""
self._transfer_time: float = 0.0
self._is_viscous: bool = False
self._rinsing_solvent: str = ""
self._rinsing_volume: float = 0.0
self._rinsing_repeats: int = 0
self._is_solid: bool = False
# 时间追踪
self._start_time: datetime = None
self._time_spent: timedelta = timedelta()
self._time_remaining: timedelta = timedelta()
# ==================== 状态属性 ====================
# 这些属性会被Uni-Lab系统自动识别并定时对外广播
@property
def status(self) -> str:
return self._status
@property
def current_device(self) -> str:
"""当前设备标识符"""
return self._current_device
@property
def pump_state(self) -> str:
return self._pump_state
@property
def flow_rate(self) -> float:
return self._flow_rate
@property
def target_flow_rate(self) -> float:
return self._target_flow_rate
@property
def pressure(self) -> float:
return self._pressure
@property
def total_volume(self) -> float:
return self._total_volume
@property
def max_flow_rate(self) -> float:
return self._max_flow_rate
@property
def max_pressure(self) -> float:
return self._max_pressure
# 添加新的属性访问器
@property
def from_vessel(self) -> str:
return self._from_vessel
@property
def to_vessel(self) -> str:
return self._to_vessel
@property
def transfer_volume(self) -> float:
return self._transfer_volume
@property
def amount(self) -> str:
return self._amount
@property
def transfer_time(self) -> float:
return self._transfer_time
@property
def is_viscous(self) -> bool:
return self._is_viscous
@property
def rinsing_solvent(self) -> str:
return self._rinsing_solvent
@property
def rinsing_volume(self) -> float:
return self._rinsing_volume
@property
def rinsing_repeats(self) -> int:
return self._rinsing_repeats
@property
def is_solid(self) -> bool:
return self._is_solid
# 修改这两个属性装饰器
@property
def time_spent(self) -> float:
"""已用时间(秒)"""
if isinstance(self._time_spent, timedelta):
return self._time_spent.total_seconds()
return float(self._time_spent)
@property
def time_remaining(self) -> float:
"""剩余时间(秒)"""
if isinstance(self._time_remaining, timedelta):
return self._time_remaining.total_seconds()
return float(self._time_remaining)
# ==================== 设备控制方法 ====================
# 这些方法需要在注册表中添加会作为ActionServer接受控制指令
def pump_transfer(self, from_vessel: str, to_vessel: str, volume: float,
amount: str = "", time: float = 0.0, viscous: bool = False,
rinsing_solvent: str = "", rinsing_volume: float = 0.0,
rinsing_repeats: int = 0, solid: bool = False) -> dict:
"""Execute pump transfer operation"""
# Stop any existing operation first
self._stop_pump_operation()
# Set transfer parameters
self._from_vessel = from_vessel
self._to_vessel = to_vessel
self._transfer_volume = float(volume)
self._amount = amount
self._transfer_time = float(time)
self._is_viscous = viscous
self._rinsing_solvent = rinsing_solvent
self._rinsing_volume = float(rinsing_volume)
self._rinsing_repeats = int(rinsing_repeats)
self._is_solid = solid
# Calculate flow rate
if self._transfer_time > 0 and self._transfer_volume > 0:
self._target_flow_rate = (self._transfer_volume / self._transfer_time) * 60.0
else:
self._target_flow_rate = 10.0 if not self._is_viscous else 5.0
# Reset timers and counters
self._start_time = datetime.now()
self._time_spent = timedelta()
self._time_remaining = timedelta(seconds=self._transfer_time)
self._total_volume = 0.0
self._flow_rate = 0.0
# Start pump operation
self._pump_state = "Running"
self._status = "Starting Transfer"
self._running = True
# Start pump operation thread
self._pump_thread = threading.Thread(target=self._pump_operation_loop)
self._pump_thread.daemon = True
self._pump_thread.start()
# Wait briefly to ensure thread starts
time.sleep(0.1)
return {
"success": True,
"status": self._status,
"current_device": self._current_device,
"time_spent": 0.0,
"time_remaining": float(self._transfer_time)
}
def pause_pump(self) -> str:
if self._pump_state != "Running":
self._status = "Error: Pump not running"
return "Error"
self._pump_state = "Paused"
self._status = "Pump Paused"
self._stop_pump_operation()
return "Success"
def resume_pump(self) -> str:
if self._pump_state != "Paused":
self._status = "Error: Pump not paused"
return "Error"
self._pump_state = "Running"
self._status = "Resuming Pump"
self._start_pump_operation()
return "Success"
def reset_volume_counter(self) -> str:
self._total_volume = 0.0
self._status = "Volume counter reset"
return "Success"
def emergency_stop(self) -> str:
self._status = "Emergency Stop"
self._pump_state = "Stopped"
self._stop_pump_operation()
self._flow_rate = 0.0
self._pressure = 0.0
self._target_flow_rate = 0.0
return "Success"
# ==================== 内部控制方法 ====================
def _start_pump_operation(self):
with self._thread_lock:
if not self._running:
self._running = True
self._pump_thread = threading.Thread(target=self._pump_operation_loop)
self._pump_thread.daemon = True
self._pump_thread.start()
def _stop_pump_operation(self):
with self._thread_lock:
self._running = False
if self._pump_thread and self._pump_thread.is_alive():
self._pump_thread.join(timeout=2.0)
def _pump_operation_loop(self):
"""泵运行主循环"""
print("Pump operation loop started") # Debug print
while self._running and self._pump_state == "Running":
try:
# Calculate flow rate adjustment
flow_diff = self._target_flow_rate - self._flow_rate
# Adjust flow rate more aggressively (50% of difference)
adjustment = flow_diff * 0.5
self._flow_rate += adjustment
# Ensure flow rate is within bounds
self._flow_rate = max(0.1, min(self._max_flow_rate, self._flow_rate))
# Update status based on flow rate
if abs(flow_diff) < 0.1:
self._status = "Running at Target Flow Rate"
else:
self._status = "Adjusting Flow Rate"
# Calculate volume increment
volume_increment = (self._flow_rate / 60.0) # mL/s
self._total_volume += volume_increment
# Update time tracking
self._time_spent = datetime.now() - self._start_time
if self._transfer_time > 0:
remaining = self._transfer_time - self._time_spent.total_seconds()
self._time_remaining = timedelta(seconds=max(0, remaining))
# Check completion
if self._total_volume >= self._transfer_volume:
self._status = "Transfer Completed"
self._pump_state = "Stopped"
self._running = False
break
# Update pressure
self._pressure = (self._flow_rate / self._max_flow_rate) * self._max_pressure
print(f"Debug - Flow: {self._flow_rate:.1f}, Volume: {self._total_volume:.1f}") # Debug print
time.sleep(1.0)
except Exception as e:
print(f"Error in pump operation: {str(e)}")
self._status = "Error in pump operation"
self._pump_state = "Stopped"
self._running = False
break
def get_status_info(self) -> dict:
"""
获取完整的设备状态信息
Returns:
dict: 包含所有设备状态的字典
"""
return {
"status": self._status,
"pump_state": self._pump_state,
"flow_rate": self._flow_rate,
"target_flow_rate": self._target_flow_rate,
"pressure": self._pressure,
"total_volume": self._total_volume,
"max_flow_rate": self._max_flow_rate,
"max_pressure": self._max_pressure,
"current_device": self._current_device,
"from_vessel": self._from_vessel,
"to_vessel": self._to_vessel,
"transfer_volume": self._transfer_volume,
"amount": self._amount,
"transfer_time": self._transfer_time,
"is_viscous": self._is_viscous,
"rinsing_solvent": self._rinsing_solvent,
"rinsing_volume": self._rinsing_volume,
"rinsing_repeats": self._rinsing_repeats,
"is_solid": self._is_solid,
"time_spent": self._time_spent.total_seconds(),
"time_remaining": self._time_remaining.total_seconds()
}
# 用于测试的主函数
if __name__ == "__main__":
pump = MockPump()
# 测试基本功能
print("启动泵设备测试...")
print(f"初始状态: {pump.get_status_info()}")
# 设置流速并启动
pump.set_flow_rate(50.0)
pump.start_pump()
# 模拟运行10秒
for i in range(10):
time.sleep(1)
print(f"{i+1}秒: 流速={pump.flow_rate:.1f}mL/min, 压力={pump.pressure:.2f}bar, 状态={pump.status}")
# 测试方向切换
print("切换泵方向...")
pump.emergency_stop()
print("测试完成")

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@@ -1,390 +0,0 @@
import time
import threading
import json
class MockRotavap:
"""
模拟旋转蒸发器设备类
这个类模拟了一个实验室旋转蒸发器的行为,包括旋转控制、
真空泵控制、温度控制等功能。参考了现有的 RotavapOne 实现。
"""
def __init__(self, port: str = "MOCK"):
"""
初始化MockRotavap实例
Args:
port (str): 设备端口,默认为"MOCK"表示模拟设备
"""
self.port = port
# 设备基本状态属性
self._status: str = "Idle" # 设备状态Idle, Running, Error, Stopped
# 旋转相关属性
self._rotate_state: str = "Stopped" # 旋转状态Running, Stopped
self._rotate_time: float = 0.0 # 旋转剩余时间 (秒)
self._rotate_speed: float = 0.0 # 旋转速度 (rpm)
self._max_rotate_speed: float = 300.0 # 最大旋转速度 (rpm)
# 真空泵相关属性
self._pump_state: str = "Stopped" # 泵状态Running, Stopped
self._pump_time: float = 0.0 # 泵剩余时间 (秒)
self._vacuum_level: float = 0.0 # 真空度 (mbar)
self._target_vacuum: float = 50.0 # 目标真空度 (mbar)
# 温度相关属性
self._temperature: float = 25.0 # 水浴温度 (°C)
self._target_temperature: float = 25.0 # 目标温度 (°C)
self._max_temperature: float = 180.0 # 最大温度 (°C)
# 运行控制线程
self._operation_thread = None
self._running = False
self._thread_lock = threading.Lock()
# 操作成功标志
self.success: str = "True" # 使用字符串而不是布尔值
# ==================== 状态属性 ====================
# 这些属性会被Uni-Lab系统自动识别并定时对外广播
@property
def status(self) -> str:
return self._status
@property
def rotate_state(self) -> str:
return self._rotate_state
@property
def rotate_time(self) -> float:
return self._rotate_time
@property
def rotate_speed(self) -> float:
return self._rotate_speed
@property
def pump_state(self) -> str:
return self._pump_state
@property
def pump_time(self) -> float:
return self._pump_time
@property
def vacuum_level(self) -> float:
return self._vacuum_level
@property
def temperature(self) -> float:
return self._temperature
@property
def target_temperature(self) -> float:
return self._target_temperature
# ==================== 设备控制方法 ====================
# 这些方法需要在注册表中添加会作为ActionServer接受控制指令
def set_timer(self, command: str) -> str:
"""
设置定时器 - 兼容现有RotavapOne接口
Args:
command (str): JSON格式的命令字符串包含rotate_time和pump_time
Returns:
str: 操作结果状态 ("Success", "Error")
"""
try:
timer = json.loads(command)
rotate_time = timer.get("rotate_time", 0)
pump_time = timer.get("pump_time", 0)
self.success = "False"
self._rotate_time = float(rotate_time)
self._pump_time = float(pump_time)
self.success = "True"
self._status = "Timer Set"
return "Success"
except (json.JSONDecodeError, ValueError, KeyError) as e:
self._status = f"Error: Invalid command format - {str(e)}"
self.success = "False"
return "Error"
def set_rotate_time(self, time_seconds: float) -> str:
"""
设置旋转时间
Args:
time_seconds (float): 旋转时间 (秒)
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self.success = "False"
self._rotate_time = max(0.0, float(time_seconds))
self.success = "True"
self._status = "Rotate time set"
return "Success"
def set_pump_time(self, time_seconds: float) -> str:
"""
设置泵时间
Args:
time_seconds (float): 泵时间 (秒)
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self.success = "False"
self._pump_time = max(0.0, float(time_seconds))
self.success = "True"
self._status = "Pump time set"
return "Success"
def set_rotate_speed(self, speed: float) -> str:
"""
设置旋转速度
Args:
speed (float): 旋转速度 (rpm)
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if speed < 0 or speed > self._max_rotate_speed:
self._status = f"Error: Speed out of range (0-{self._max_rotate_speed})"
return "Error"
self._rotate_speed = speed
self._status = "Rotate speed set"
return "Success"
def set_temperature(self, temperature: float) -> str:
"""
设置水浴温度
Args:
temperature (float): 目标温度 (°C)
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if temperature < 0 or temperature > self._max_temperature:
self._status = f"Error: Temperature out of range (0-{self._max_temperature})"
return "Error"
self._target_temperature = temperature
self._status = "Temperature set"
# 启动操作线程以开始温度控制
self._start_operation()
return "Success"
def start_rotation(self) -> str:
"""
启动旋转
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if self._rotate_time <= 0:
self._status = "Error: No rotate time set"
return "Error"
self._rotate_state = "Running"
self._status = "Rotation started"
return "Success"
def start_pump(self) -> str:
"""
启动真空泵
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if self._pump_time <= 0:
self._status = "Error: No pump time set"
return "Error"
self._pump_state = "Running"
self._status = "Pump started"
return "Success"
def stop_all_operations(self) -> str:
"""
停止所有操作
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._rotate_state = "Stopped"
self._pump_state = "Stopped"
self._stop_operation()
self._rotate_time = 0.0
self._pump_time = 0.0
self._vacuum_level = 0.0
self._status = "All operations stopped"
return "Success"
def emergency_stop(self) -> str:
"""
紧急停止
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._status = "Emergency Stop"
self.stop_all_operations()
return "Success"
# ==================== 内部控制方法 ====================
def _start_operation(self):
"""
启动操作线程
这个方法启动一个后台线程来模拟旋蒸的实际运行过程。
"""
with self._thread_lock:
if not self._running:
self._running = True
self._operation_thread = threading.Thread(target=self._operation_loop)
self._operation_thread.daemon = True
self._operation_thread.start()
def _stop_operation(self):
"""
停止操作线程
安全地停止后台运行线程并等待其完成。
"""
with self._thread_lock:
self._running = False
if self._operation_thread and self._operation_thread.is_alive():
self._operation_thread.join(timeout=2.0)
def _operation_loop(self):
"""
操作主循环
这个方法在后台线程中运行,模拟真实旋蒸的工作过程:
1. 时间倒计时
2. 温度控制
3. 真空度控制
4. 状态更新
"""
while self._running:
try:
# 处理旋转时间倒计时
if self._rotate_time > 0:
self._rotate_state = "Running"
self._rotate_time = max(0.0, self._rotate_time - 1.0)
else:
self._rotate_state = "Stopped"
# 处理泵时间倒计时
if self._pump_time > 0:
self._pump_state = "Running"
self._pump_time = max(0.0, self._pump_time - 1.0)
# 模拟真空度变化
if self._vacuum_level > self._target_vacuum:
self._vacuum_level = max(self._target_vacuum, self._vacuum_level - 5.0)
else:
self._pump_state = "Stopped"
# 真空度逐渐回升
self._vacuum_level = min(1013.25, self._vacuum_level + 2.0)
# 模拟温度控制
temp_diff = self._target_temperature - self._temperature
if abs(temp_diff) > 0.5:
if temp_diff > 0:
self._temperature += min(1.0, temp_diff * 0.1)
else:
self._temperature += max(-1.0, temp_diff * 0.1)
# 更新整体状态
if self._rotate_state == "Running" or self._pump_state == "Running":
self._status = "Operating"
elif self._rotate_time > 0 or self._pump_time > 0:
self._status = "Ready"
else:
self._status = "Idle"
# 等待1秒后继续下一次循环
time.sleep(1.0)
except Exception as e:
self._status = f"Error in operation: {str(e)}"
break
# 循环结束时的清理工作
self._status = "Idle"
def get_status_info(self) -> dict:
"""
获取完整的设备状态信息
Returns:
dict: 包含所有设备状态的字典
"""
return {
"status": self._status,
"rotate_state": self._rotate_state,
"rotate_time": self._rotate_time,
"rotate_speed": self._rotate_speed,
"pump_state": self._pump_state,
"pump_time": self._pump_time,
"vacuum_level": self._vacuum_level,
"temperature": self._temperature,
"target_temperature": self._target_temperature,
"success": self.success,
}
# 用于测试的主函数
if __name__ == "__main__":
rotavap = MockRotavap()
# 测试基本功能
print("启动旋转蒸发器测试...")
print(f"初始状态: {rotavap.get_status_info()}")
# 设置定时器
timer_command = '{"rotate_time": 300, "pump_time": 600}'
rotavap.set_timer(timer_command)
# 设置温度和转速
rotavap.set_temperature(60.0)
rotavap.set_rotate_speed(120.0)
# 启动操作
rotavap.start_rotation()
rotavap.start_pump()
# 模拟运行10秒
for i in range(10):
time.sleep(1)
print(
f"{i+1}秒: 旋转={rotavap.rotate_time:.0f}s, 泵={rotavap.pump_time:.0f}s, "
f"温度={rotavap.temperature:.1f}°C, 真空={rotavap.vacuum_level:.1f}mbar"
)
rotavap.emergency_stop()
print("测试完成")

View File

@@ -1,399 +0,0 @@
import time
import threading
from datetime import datetime, timedelta
class MockSeparator:
def __init__(self, port: str = "MOCK"):
self.port = port
# 基本状态属性
self._status: str = "Idle" # 当前总体状态
self._valve_state: str = "Closed" # 阀门状态Open 或 Closed
self._settling_time: float = 0.0 # 静置时间(秒)
# 搅拌相关属性
self._shake_time: float = 0.0 # 剩余摇摆时间(秒)
self._shake_status: str = "Not Shaking" # 摇摆状态
# 用于后台模拟 shake 动作
self._operation_thread = None
self._thread_lock = threading.Lock()
self._running = False
# Separate action 相关属性
self._current_device: str = "MockSeparator1"
self._purpose: str = "" # wash or extract
self._product_phase: str = "" # top or bottom
self._from_vessel: str = ""
self._separation_vessel: str = ""
self._to_vessel: str = ""
self._waste_phase_to_vessel: str = ""
self._solvent: str = ""
self._solvent_volume: float = 0.0
self._through: str = ""
self._repeats: int = 1
self._stir_time: float = 0.0
self._stir_speed: float = 0.0
self._time_spent = timedelta()
self._time_remaining = timedelta()
self._start_time = datetime.now() # 添加这一行
@property
def current_device(self) -> str:
return self._current_device
@property
def purpose(self) -> str:
return self._purpose
@property
def valve_state(self) -> str:
return self._valve_state
@property
def settling_time(self) -> float:
return self._settling_time
@property
def status(self) -> str:
return self._status
@property
def shake_time(self) -> float:
with self._thread_lock:
return self._shake_time
@property
def shake_status(self) -> str:
with self._thread_lock:
return self._shake_status
@property
def product_phase(self) -> str:
return self._product_phase
@property
def from_vessel(self) -> str:
return self._from_vessel
@property
def separation_vessel(self) -> str:
return self._separation_vessel
@property
def to_vessel(self) -> str:
return self._to_vessel
@property
def waste_phase_to_vessel(self) -> str:
return self._waste_phase_to_vessel
@property
def solvent(self) -> str:
return self._solvent
@property
def solvent_volume(self) -> float:
return self._solvent_volume
@property
def through(self) -> str:
return self._through
@property
def repeats(self) -> int:
return self._repeats
@property
def stir_time(self) -> float:
return self._stir_time
@property
def stir_speed(self) -> float:
return self._stir_speed
@property
def time_spent(self) -> float:
if self._running:
self._time_spent = datetime.now() - self._start_time
return self._time_spent.total_seconds()
@property
def time_remaining(self) -> float:
if self._running:
elapsed = (datetime.now() - self._start_time).total_seconds()
total_time = (self._stir_time + self._settling_time + 10) * self._repeats
remain = max(0, total_time - elapsed)
self._time_remaining = timedelta(seconds=remain)
return self._time_remaining.total_seconds()
def separate(self, purpose: str, product_phase: str, from_vessel: str,
separation_vessel: str, to_vessel: str, waste_phase_to_vessel: str = "",
solvent: str = "", solvent_volume: float = 0.0, through: str = "",
repeats: int = 1, stir_time: float = 0.0, stir_speed: float = 0.0,
settling_time: float = 60.0) -> dict:
"""
执行分离操作
"""
with self._thread_lock:
# 检查是否已经在运行
if self._running:
return {
"success": False,
"status": "Error: Operation already in progress"
}
# 必填参数验证
if not all([from_vessel, separation_vessel, to_vessel]):
self._status = "Error: Missing required vessel parameters"
return {"success": False}
# 验证参数
if purpose not in ["wash", "extract"]:
self._status = "Error: Invalid purpose"
return {"success": False}
if product_phase not in ["top", "bottom"]:
self._status = "Error: Invalid product phase"
return {"success": False}
# 数值参数验证
try:
solvent_volume = float(solvent_volume)
repeats = int(repeats)
stir_time = float(stir_time)
stir_speed = float(stir_speed)
settling_time = float(settling_time)
except ValueError:
self._status = "Error: Invalid numeric parameters"
return {"success": False}
# 设置参数
self._purpose = purpose
self._product_phase = product_phase
self._from_vessel = from_vessel
self._separation_vessel = separation_vessel
self._to_vessel = to_vessel
self._waste_phase_to_vessel = waste_phase_to_vessel
self._solvent = solvent
self._solvent_volume = float(solvent_volume)
self._through = through
self._repeats = int(repeats)
self._stir_time = float(stir_time)
self._stir_speed = float(stir_speed)
self._settling_time = float(settling_time)
# 重置计时器
self._start_time = datetime.now()
self._time_spent = timedelta()
total_time = (self._stir_time + self._settling_time + 10) * self._repeats
self._time_remaining = timedelta(seconds=total_time)
# 启动分离操作
self._status = "Starting Separation"
self._running = True
# 在锁内创建和启动线程
self._operation_thread = threading.Thread(target=self._operation_loop)
self._operation_thread.daemon = True
self._operation_thread.start()
# 等待确认操作已经开始
time.sleep(0.1) # 短暂等待确保操作线程已启动
return {
"success": True,
"status": self._status,
"current_device": self._current_device,
"time_spent": self._time_spent.total_seconds(),
"time_remaining": self._time_remaining.total_seconds()
}
def shake(self, shake_time: float) -> str:
"""
模拟 shake搅拌操作
- 进入 "Shaking" 状态,倒计时 shake_time 秒
- shake 结束后,进入 "Settling" 状态,静置时间固定为 5 秒
- 最后恢复为 Idle
"""
try:
shake_time = float(shake_time)
except ValueError:
self._status = "Error: Invalid shake time"
return "Error"
with self._thread_lock:
self._status = "Shaking"
self._settling_time = 0.0
self._shake_time = shake_time
self._shake_status = "Shaking"
def _run_shake():
remaining = shake_time
while remaining > 0:
time.sleep(1)
remaining -= 1
with self._thread_lock:
self._shake_time = remaining
with self._thread_lock:
self._status = "Settling"
self._settling_time = 60.0 # 固定静置时间为60秒
self._shake_status = "Settling"
while True:
with self._thread_lock:
if self._settling_time <= 0:
self._status = "Idle"
self._shake_status = "Idle"
break
time.sleep(1)
with self._thread_lock:
self._settling_time = max(0.0, self._settling_time - 1)
self._operation_thread = threading.Thread(target=_run_shake)
self._operation_thread.daemon = True
self._operation_thread.start()
return "Success"
def set_valve(self, command: str) -> str:
"""
阀门控制命令:传入 "open""close"
"""
command = command.lower()
if command == "open":
self._valve_state = "Open"
self._status = "Valve Opened"
elif command == "close":
self._valve_state = "Closed"
self._status = "Valve Closed"
else:
self._status = "Error: Invalid valve command"
return "Error"
return "Success"
def _operation_loop(self):
"""分离操作主循环"""
try:
current_repeat = 1
# 立即更新状态确保不会停留在Starting Separation
with self._thread_lock:
self._status = f"Separation Cycle {current_repeat}/{self._repeats}"
while self._running and current_repeat <= self._repeats:
# 第一步:搅拌
if self._stir_time > 0:
with self._thread_lock:
self._status = f"Stirring (Repeat {current_repeat}/{self._repeats})"
remaining_stir = self._stir_time
while remaining_stir > 0 and self._running:
time.sleep(1)
remaining_stir -= 1
# 第二步:静置
if self._settling_time > 0:
with self._thread_lock:
self._status = f"Settling (Repeat {current_repeat}/{self._repeats})"
remaining_settle = self._settling_time
while remaining_settle > 0 and self._running:
time.sleep(1)
remaining_settle -= 1
# 第三步:打开阀门排出
with self._thread_lock:
self._valve_state = "Open"
self._status = f"Draining (Repeat {current_repeat}/{self._repeats})"
# 模拟排出时间5秒
time.sleep(10)
# 关闭阀门
with self._thread_lock:
self._valve_state = "Closed"
# 检查是否继续下一次重复
if current_repeat < self._repeats:
current_repeat += 1
else:
with self._thread_lock:
self._status = "Separation Complete"
break
except Exception as e:
with self._thread_lock:
self._status = f"Error in separation: {str(e)}"
finally:
with self._thread_lock:
self._running = False
self._valve_state = "Closed"
if self._status == "Starting Separation":
self._status = "Error: Operation failed to start"
elif self._status != "Separation Complete":
self._status = "Stopped"
def stop_operations(self) -> str:
"""停止任何正在执行的操作"""
with self._thread_lock:
self._running = False
if self._operation_thread and self._operation_thread.is_alive():
self._operation_thread.join(timeout=1.0)
self._operation_thread = None
self._settling_time = 0.0
self._status = "Idle"
self._shake_status = "Idle"
self._shake_time = 0.0
self._time_remaining = timedelta()
return "Success"
def get_status_info(self) -> dict:
"""获取当前设备状态信息"""
with self._thread_lock:
current_time = datetime.now()
if self._start_time:
self._time_spent = current_time - self._start_time
return {
"status": self._status,
"valve_state": self._valve_state,
"settling_time": self._settling_time,
"shake_time": self._shake_time,
"shake_status": self._shake_status,
"current_device": self._current_device,
"purpose": self._purpose,
"product_phase": self._product_phase,
"from_vessel": self._from_vessel,
"separation_vessel": self._separation_vessel,
"to_vessel": self._to_vessel,
"waste_phase_to_vessel": self._waste_phase_to_vessel,
"solvent": self._solvent,
"solvent_volume": self._solvent_volume,
"through": self._through,
"repeats": self._repeats,
"stir_time": self._stir_time,
"stir_speed": self._stir_speed,
"time_spent": self._time_spent.total_seconds(),
"time_remaining": self._time_remaining.total_seconds()
}
# 主函数用于测试
if __name__ == "__main__":
separator = MockSeparator()
print("启动简单版分离器测试...")
print("初始状态:", separator.get_status_info())
# 触发 shake 操作,模拟 10 秒的搅拌
print("执行 shake 操作...")
print(separator.shake(10.0))
# 循环显示状态变化
for i in range(20):
time.sleep(1)
info = separator.get_status_info()
print(
f"{i+1}秒: 状态={info['status']}, 静置时间={info['settling_time']:.1f}秒, "
f"阀门状态={info['valve_state']}, shake_time={info['shake_time']:.1f}, "
f"shake_status={info['shake_status']}"
)
# 模拟打开阀门
print("打开阀门...", separator.set_valve("open"))
print("最终状态:", separator.get_status_info())

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@@ -1,89 +0,0 @@
import time
class MockSolenoidValve:
"""
模拟电磁阀设备类 - 简化版本
这个类提供了电磁阀的基本功能:开启、关闭和状态查询
"""
def __init__(self, port: str = "MOCK"):
"""
初始化MockSolenoidValve实例
Args:
port (str): 设备端口,默认为"MOCK"表示模拟设备
"""
self.port = port
self._status: str = "Idle"
self._valve_status: str = "Closed" # 阀门位置Open, Closed
@property
def status(self) -> str:
"""设备状态 - 会被自动识别的设备属性"""
return self._status
@property
def valve_status(self) -> str:
"""阀门状态"""
return self._valve_status
def set_valve_status(self, status: str) -> str:
"""
设置阀门位置
Args:
position (str): 阀门位置,可选值:"Open", "Closed"
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if status not in ["Open", "Closed"]:
self._status = "Error: Invalid position"
return "Error"
self._status = "Moving"
time.sleep(1) # 模拟阀门动作时间
self._valve_status = status
self._status = "Idle"
return "Success"
def open_valve(self) -> str:
"""打开阀门"""
return self.set_valve_status("Open")
def close_valve(self) -> str:
"""关闭阀门"""
return self.set_valve_status("Closed")
def get_valve_status(self) -> str:
"""获取阀门位置"""
return self._valve_status
def is_open(self) -> bool:
"""检查阀门是否打开"""
return self._valve_status == "Open"
def is_closed(self) -> bool:
"""检查阀门是否关闭"""
return self._valve_status == "Closed"
# 用于测试的主函数
if __name__ == "__main__":
valve = MockSolenoidValve()
print("启动电磁阀测试...")
print(f"初始状态: 位置={valve.valve_status}, 状态={valve.status}")
# 测试开启阀门
valve.open_valve()
print(f"开启后: 位置={valve.valve_status}, 状态={valve.status}")
# 测试关闭阀门
valve.close_valve()
print(f"关闭后: 位置={valve.valve_status}, 状态={valve.status}")
print("测试完成")

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@@ -1,307 +0,0 @@
import time
import threading
class MockStirrer:
def __init__(self, port: str = "MOCK"):
self.port = port
# 设备基本状态属性
self._status: str = "Idle" # 设备状态Idle, Running, Error, Stopped
# 搅拌相关属性
self._stir_speed: float = 0.0 # 当前搅拌速度 (rpm)
self._target_stir_speed: float = 0.0 # 目标搅拌速度 (rpm)
self._max_stir_speed: float = 2000.0 # 最大搅拌速度 (rpm)
self._stir_state: str = "Stopped" # 搅拌状态Running, Stopped
# 温度相关属性
self._temperature: float = 25.0 # 当前温度 (°C)
self._target_temperature: float = 25.0 # 目标温度 (°C)
self._max_temperature: float = 300.0 # 最大温度 (°C)
self._heating_state: str = "Off" # 加热状态On, Off
self._heating_power: float = 0.0 # 加热功率百分比 0-100
# 运行控制线程
self._operation_thread = None
self._running = False
self._thread_lock = threading.Lock()
# ==================== 状态属性 ====================
# 这些属性会被Uni-Lab系统自动识别并定时对外广播
@property
def status(self) -> str:
return self._status
@property
def stir_speed(self) -> float:
return self._stir_speed
@property
def target_stir_speed(self) -> float:
return self._target_stir_speed
@property
def stir_state(self) -> str:
return self._stir_state
@property
def temperature(self) -> float:
"""
当前温度
Returns:
float: 当前温度 (°C)
"""
return self._temperature
@property
def target_temperature(self) -> float:
"""
目标温度
Returns:
float: 目标温度 (°C)
"""
return self._target_temperature
@property
def heating_state(self) -> str:
return self._heating_state
@property
def heating_power(self) -> float:
return self._heating_power
@property
def max_stir_speed(self) -> float:
return self._max_stir_speed
@property
def max_temperature(self) -> float:
return self._max_temperature
# ==================== 设备控制方法 ====================
# 这些方法需要在注册表中添加会作为ActionServer接受控制指令
def set_stir_speed(self, speed: float) -> str:
speed = float(speed) # 确保传入的速度是浮点数
if speed < 0 or speed > self._max_stir_speed:
self._status = f"Error: Speed out of range (0-{self._max_stir_speed})"
return "Error"
self._target_stir_speed = speed
self._status = "Setting Stir Speed"
# 如果设置了非零速度,启动搅拌
if speed > 0:
self._stir_state = "Running"
else:
self._stir_state = "Stopped"
return "Success"
def set_temperature(self, temperature: float) -> str:
temperature = float(temperature) # 确保传入的温度是浮点数
if temperature < 0 or temperature > self._max_temperature:
self._status = f"Error: Temperature out of range (0-{self._max_temperature})"
return "Error"
self._target_temperature = temperature
self._status = "Setting Temperature"
return "Success"
def start_stirring(self) -> str:
if self._target_stir_speed <= 0:
self._status = "Error: No target speed set"
return "Error"
self._stir_state = "Running"
self._status = "Stirring Started"
return "Success"
def stop_stirring(self) -> str:
self._stir_state = "Stopped"
self._target_stir_speed = 0.0
self._status = "Stirring Stopped"
return "Success"
def heating_control(self, heating_state: str = "On") -> str:
if heating_state not in ["On", "Off"]:
self._status = "Error: Invalid heating state"
return "Error"
self._heating_state = heating_state
if heating_state == "On":
self._status = "Heating On"
else:
self._status = "Heating Off"
self._heating_power = 0.0
return "Success"
def stop_all_operations(self) -> str:
self._stir_state = "Stopped"
self._heating_state = "Off"
self._stop_operation()
self._stir_speed = 0.0
self._target_stir_speed = 0.0
self._heating_power = 0.0
self._status = "All operations stopped"
return "Success"
def emergency_stop(self) -> str:
"""
紧急停止
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._status = "Emergency Stop"
self.stop_all_operations()
return "Success"
# ==================== 内部控制方法 ====================
def _start_operation(self):
with self._thread_lock:
if not self._running:
self._running = True
self._operation_thread = threading.Thread(target=self._operation_loop)
self._operation_thread.daemon = True
self._operation_thread.start()
def _stop_operation(self):
"""
停止操作线程
安全地停止后台运行线程并等待其完成。
"""
with self._thread_lock:
self._running = False
if self._operation_thread and self._operation_thread.is_alive():
self._operation_thread.join(timeout=2.0)
def _operation_loop(self):
while self._running:
try:
# 处理搅拌速度控制
if self._stir_state == "Running":
speed_diff = self._target_stir_speed - self._stir_speed
if abs(speed_diff) < 1.0: # 速度接近目标值
self._stir_speed = self._target_stir_speed
if self._stir_speed > 0:
self._status = "Stirring at Target Speed"
else:
# 模拟速度调节每秒调整10%的差值
adjustment = speed_diff * 0.1
self._stir_speed += adjustment
self._status = "Adjusting Stir Speed"
# 确保速度在合理范围内
self._stir_speed = max(0.0, min(self._max_stir_speed, self._stir_speed))
else:
# 搅拌停止时速度逐渐降为0
if self._stir_speed > 0:
self._stir_speed = max(0.0, self._stir_speed - 50.0) # 每秒减少50rpm
# 处理温度控制
if self._heating_state == "On":
temp_diff = self._target_temperature - self._temperature
if abs(temp_diff) < 0.5: # 温度接近目标值
self._heating_power = 20.0 # 维持温度的最小功率
elif temp_diff > 0: # 需要加热
# 根据温差调整加热功率
if temp_diff > 50:
self._heating_power = 100.0
elif temp_diff > 20:
self._heating_power = 80.0
elif temp_diff > 10:
self._heating_power = 60.0
else:
self._heating_power = 40.0
# 模拟加热过程
heating_rate = self._heating_power / 100.0 * 1.5 # 最大每秒升温1.5度
self._temperature += heating_rate
else: # 目标温度低于当前温度
self._heating_power = 0.0
# 自然冷却
self._temperature -= 0.1
else:
self._heating_power = 0.0
# 自然冷却到室温
if self._temperature > 25.0:
self._temperature -= 0.2
# 限制温度范围
self._temperature = max(20.0, min(self._max_temperature, self._temperature))
# 更新整体状态
if self._stir_state == "Running" and self._heating_state == "On":
self._status = "Stirring and Heating"
elif self._stir_state == "Running":
self._status = "Stirring Only"
elif self._heating_state == "On":
self._status = "Heating Only"
else:
self._status = "Idle"
# 等待1秒后继续下一次循环
time.sleep(1.0)
except Exception as e:
self._status = f"Error in operation: {str(e)}"
break
# 循环结束时的清理工作
self._status = "Idle"
def get_status_info(self) -> dict:
return {
"status": self._status,
"stir_speed": self._stir_speed,
"target_stir_speed": self._target_stir_speed,
"stir_state": self._stir_state,
"temperature": self._temperature,
"target_temperature": self._target_temperature,
"heating_state": self._heating_state,
"heating_power": self._heating_power,
"max_stir_speed": self._max_stir_speed,
"max_temperature": self._max_temperature,
}
# 用于测试的主函数
if __name__ == "__main__":
stirrer = MockStirrer()
# 测试基本功能
print("启动搅拌器测试...")
print(f"初始状态: {stirrer.get_status_info()}")
# 设置搅拌速度和温度
stirrer.set_stir_speed(800.0)
stirrer.set_temperature(60.0)
stirrer.heating_control("On")
# 模拟运行15秒
for i in range(15):
time.sleep(1)
print(
f"{i+1}秒: 速度={stirrer.stir_speed:.0f}rpm, 温度={stirrer.temperature:.1f}°C, "
f"功率={stirrer.heating_power:.1f}%, 状态={stirrer.status}"
)
stirrer.emergency_stop()
print("测试完成")

View File

@@ -1,229 +0,0 @@
import time
import threading
from datetime import datetime, timedelta
class MockStirrer_new:
def __init__(self, port: str = "MOCK"):
self.port = port
# 基本状态属性
self._status: str = "Idle"
self._vessel: str = ""
self._purpose: str = ""
# 搅拌相关属性
self._stir_speed: float = 0.0
self._target_stir_speed: float = 0.0
self._max_stir_speed: float = 2000.0
self._stir_state: str = "Stopped"
# 计时相关
self._stir_time: float = 0.0
self._settling_time: float = 0.0
self._start_time = datetime.now()
self._time_remaining = timedelta()
# 运行控制
self._operation_thread = None
self._running = False
self._thread_lock = threading.Lock()
# 创建操作线程
self._operation_thread = threading.Thread(target=self._operation_loop)
self._operation_thread.daemon = True
self._operation_thread.start()
# ==================== 状态属性 ====================
@property
def status(self) -> str:
return self._status
@property
def stir_speed(self) -> float:
return self._stir_speed
@property
def target_stir_speed(self) -> float:
return self._target_stir_speed
@property
def stir_state(self) -> str:
return self._stir_state
@property
def vessel(self) -> str:
return self._vessel
@property
def purpose(self) -> str:
return self._purpose
@property
def stir_time(self) -> float:
return self._stir_time
@property
def settling_time(self) -> float:
return self._settling_time
@property
def max_stir_speed(self) -> float:
return self._max_stir_speed
@property
def progress(self) -> float:
"""返回当前操作的进度0-100"""
if not self._running:
return 0.0
elapsed = (datetime.now() - self._start_time).total_seconds()
total_time = self._stir_time + self._settling_time
if total_time <= 0:
return 100.0
return min(100.0, (elapsed / total_time) * 100)
# ==================== Action Server 方法 ====================
def start_stir(self, vessel: str, stir_speed: float = 0.0, purpose: str = "") -> dict:
"""
StartStir.action 对应的方法
"""
with self._thread_lock:
if self._running:
return {
"success": False,
"message": "Operation already in progress"
}
try:
# 重置所有参数
self._vessel = vessel
self._purpose = purpose
self._stir_time = 0.0 # 连续搅拌模式下不设置搅拌时间
self._settling_time = 0.0
self._start_time = datetime.now() # 重置开始时间
if stir_speed > 0:
self._target_stir_speed = min(stir_speed, self._max_stir_speed)
self._stir_state = "Running"
self._status = "Stirring Started"
self._running = True
return {
"success": True,
"message": "Stirring started successfully"
}
except Exception as e:
return {
"success": False,
"message": f"Error: {str(e)}"
}
def stir(self, stir_time: float, stir_speed: float, settling_time: float) -> dict:
"""
Stir.action 对应的方法
"""
with self._thread_lock:
try:
# 如果已经在运行,先停止当前操作
if self._running:
self._running = False
self._stir_state = "Stopped"
self._target_stir_speed = 0.0
time.sleep(0.1) # 给一个短暂的停止时间
# 重置所有参数
self._stir_time = float(stir_time)
self._settling_time = float(settling_time)
self._target_stir_speed = min(float(stir_speed), self._max_stir_speed)
self._start_time = datetime.now() # 重置开始时间
self._stir_state = "Running"
self._status = "Stirring"
self._running = True
return {"success": True}
except ValueError:
self._status = "Error: Invalid parameters"
return {"success": False}
def stop_stir(self, vessel: str) -> dict:
"""
StopStir.action 对应的方法
"""
with self._thread_lock:
if vessel != self._vessel:
return {
"success": False,
"message": "Vessel mismatch"
}
self._running = False
self._stir_state = "Stopped"
self._target_stir_speed = 0.0
self._status = "Stirring Stopped"
return {
"success": True,
"message": "Stirring stopped successfully"
}
# ==================== 内部控制方法 ====================
def _operation_loop(self):
"""操作主循环"""
while True:
try:
current_time = datetime.now()
with self._thread_lock: # 添加锁保护
if self._stir_state == "Running":
# 实际搅拌逻辑
speed_diff = self._target_stir_speed - self._stir_speed
if abs(speed_diff) > 0.1:
adjustment = speed_diff * 0.1
self._stir_speed += adjustment
else:
self._stir_speed = self._target_stir_speed
# 更新进度
if self._running:
if self._stir_time > 0: # 定时搅拌模式
elapsed = (current_time - self._start_time).total_seconds()
if elapsed >= self._stir_time + self._settling_time:
self._running = False
self._stir_state = "Stopped"
self._target_stir_speed = 0.0
self._stir_speed = 0.0
self._status = "Stirring Complete"
elif elapsed >= self._stir_time:
self._status = "Settling"
else: # 连续搅拌模式
self._status = "Stirring"
else:
# 停止状态下慢慢降低速度
if self._stir_speed > 0:
self._stir_speed = max(0, self._stir_speed - 20.0)
time.sleep(0.1)
except Exception as e:
print(f"Error in operation loop: {str(e)}") # 添加错误输出
self._status = f"Error: {str(e)}"
time.sleep(1.0) # 错误发生时等待较长时间
def get_status_info(self) -> dict:
"""获取设备状态信息"""
return {
"status": self._status,
"vessel": self._vessel,
"purpose": self._purpose,
"stir_speed": self._stir_speed,
"target_stir_speed": self._target_stir_speed,
"stir_state": self._stir_state,
"stir_time": self._stir_time, # 添加
"settling_time": self._settling_time, # 添加
"progress": self.progress,
"max_stir_speed": self._max_stir_speed
}

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@@ -1,410 +0,0 @@
import time
import threading
class MockVacuum:
"""
模拟真空泵设备类
这个类模拟了一个实验室真空泵的行为,包括真空度控制、
压力监测、运行状态管理等功能。参考了现有的 VacuumPumpMock 实现。
"""
def __init__(self, port: str = "MOCK"):
"""
初始化MockVacuum实例
Args:
port (str): 设备端口,默认为"MOCK"表示模拟设备
"""
self.port = port
# 设备基本状态属性
self._status: str = "Idle" # 设备状态Idle, Running, Error, Stopped
self._power_state: str = "Off" # 电源状态On, Off
self._pump_state: str = "Stopped" # 泵运行状态Running, Stopped, Paused
# 真空相关属性
self._vacuum_level: float = 1013.25 # 当前真空度 (mbar) - 大气压开始
self._target_vacuum: float = 50.0 # 目标真空度 (mbar)
self._min_vacuum: float = 1.0 # 最小真空度 (mbar)
self._max_vacuum: float = 1013.25 # 最大真空度 (mbar) - 大气压
# 泵性能相关属性
self._pump_speed: float = 0.0 # 泵速 (L/s)
self._max_pump_speed: float = 100.0 # 最大泵速 (L/s)
self._pump_efficiency: float = 95.0 # 泵效率百分比
# 运行控制线程
self._vacuum_thread = None
self._running = False
self._thread_lock = threading.Lock()
# ==================== 状态属性 ====================
# 这些属性会被Uni-Lab系统自动识别并定时对外广播
@property
def status(self) -> str:
"""
设备状态 - 会被自动识别的设备属性
Returns:
str: 当前设备状态 (Idle, Running, Error, Stopped)
"""
return self._status
@property
def power_state(self) -> str:
"""
电源状态
Returns:
str: 电源状态 (On, Off)
"""
return self._power_state
@property
def pump_state(self) -> str:
"""
泵运行状态
Returns:
str: 泵状态 (Running, Stopped, Paused)
"""
return self._pump_state
@property
def vacuum_level(self) -> float:
"""
当前真空度
Returns:
float: 当前真空度 (mbar)
"""
return self._vacuum_level
@property
def target_vacuum(self) -> float:
"""
目标真空度
Returns:
float: 目标真空度 (mbar)
"""
return self._target_vacuum
@property
def pump_speed(self) -> float:
"""
泵速
Returns:
float: 泵速 (L/s)
"""
return self._pump_speed
@property
def pump_efficiency(self) -> float:
"""
泵效率
Returns:
float: 泵效率百分比
"""
return self._pump_efficiency
@property
def max_pump_speed(self) -> float:
"""
最大泵速
Returns:
float: 最大泵速 (L/s)
"""
return self._max_pump_speed
# ==================== 设备控制方法 ====================
# 这些方法需要在注册表中添加会作为ActionServer接受控制指令
def power_control(self, power_state: str = "On") -> str:
"""
电源控制方法
Args:
power_state (str): 电源状态,可选值:"On", "Off"
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if power_state not in ["On", "Off"]:
self._status = "Error: Invalid power state"
return "Error"
self._power_state = power_state
if power_state == "On":
self._status = "Power On"
self._start_vacuum_operation()
else:
self._status = "Power Off"
self.stop_vacuum()
return "Success"
def set_vacuum_level(self, vacuum_level: float) -> str:
"""
设置目标真空度
Args:
vacuum_level (float): 目标真空度 (mbar)
Returns:
str: 操作结果状态 ("Success", "Error")
"""
try:
vacuum_level = float(vacuum_level)
except ValueError:
self._status = "Error: Invalid vacuum level"
return "Error"
if self._power_state != "On":
self._status = "Error: Power Off"
return "Error"
if vacuum_level < self._min_vacuum or vacuum_level > self._max_vacuum:
self._status = f"Error: Vacuum level out of range ({self._min_vacuum}-{self._max_vacuum})"
return "Error"
self._target_vacuum = vacuum_level
self._status = "Setting Vacuum Level"
return "Success"
def start_vacuum(self) -> str:
"""
启动真空泵
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if self._power_state != "On":
self._status = "Error: Power Off"
return "Error"
self._pump_state = "Running"
self._status = "Starting Vacuum Pump"
self._start_vacuum_operation()
return "Success"
def stop_vacuum(self) -> str:
"""
停止真空泵
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._pump_state = "Stopped"
self._status = "Stopping Vacuum Pump"
self._stop_vacuum_operation()
self._pump_speed = 0.0
return "Success"
def pause_vacuum(self) -> str:
"""
暂停真空泵
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if self._pump_state != "Running":
self._status = "Error: Pump not running"
return "Error"
self._pump_state = "Paused"
self._status = "Vacuum Pump Paused"
self._stop_vacuum_operation()
return "Success"
def resume_vacuum(self) -> str:
"""
恢复真空泵运行
Returns:
str: 操作结果状态 ("Success", "Error")
"""
if self._pump_state != "Paused":
self._status = "Error: Pump not paused"
return "Error"
if self._power_state != "On":
self._status = "Error: Power Off"
return "Error"
self._pump_state = "Running"
self._status = "Resuming Vacuum Pump"
self._start_vacuum_operation()
return "Success"
def vent_to_atmosphere(self) -> str:
"""
通大气 - 将真空度恢复到大气压
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._target_vacuum = self._max_vacuum # 设置为大气压
self._status = "Venting to Atmosphere"
return "Success"
def emergency_stop(self) -> str:
"""
紧急停止
Returns:
str: 操作结果状态 ("Success", "Error")
"""
self._status = "Emergency Stop"
self._pump_state = "Stopped"
self._stop_vacuum_operation()
self._pump_speed = 0.0
return "Success"
# ==================== 内部控制方法 ====================
def _start_vacuum_operation(self):
"""
启动真空操作线程
这个方法启动一个后台线程来模拟真空泵的实际运行过程。
"""
with self._thread_lock:
if not self._running and self._power_state == "On":
self._running = True
self._vacuum_thread = threading.Thread(target=self._vacuum_operation_loop)
self._vacuum_thread.daemon = True
self._vacuum_thread.start()
def _stop_vacuum_operation(self):
"""
停止真空操作线程
安全地停止后台运行线程并等待其完成。
"""
with self._thread_lock:
self._running = False
if self._vacuum_thread and self._vacuum_thread.is_alive():
self._vacuum_thread.join(timeout=2.0)
def _vacuum_operation_loop(self):
"""
真空操作主循环
这个方法在后台线程中运行,模拟真空泵的工作过程:
1. 检查电源状态和运行状态
2. 如果泵状态为 "Running",根据目标真空调整泵速和真空度
3. 否则等待
"""
while self._running and self._power_state == "On":
try:
with self._thread_lock:
# 只有泵状态为 Running 时才进行更新
if self._pump_state == "Running":
vacuum_diff = self._vacuum_level - self._target_vacuum
if abs(vacuum_diff) < 1.0: # 真空度接近目标值
self._status = "At Target Vacuum"
self._pump_speed = self._max_pump_speed * 0.2 # 维持真空的最小泵速
elif vacuum_diff > 0: # 需要抽真空(降低压力)
self._status = "Pumping Down"
if vacuum_diff > 500:
self._pump_speed = self._max_pump_speed
elif vacuum_diff > 100:
self._pump_speed = self._max_pump_speed * 0.8
elif vacuum_diff > 50:
self._pump_speed = self._max_pump_speed * 0.6
else:
self._pump_speed = self._max_pump_speed * 0.4
# 根据泵速和效率计算真空降幅
pump_rate = (self._pump_speed / self._max_pump_speed) * self._pump_efficiency / 100.0
vacuum_reduction = pump_rate * 10.0 # 每秒最大降低10 mbar
self._vacuum_level = max(self._target_vacuum, self._vacuum_level - vacuum_reduction)
else: # 目标真空度高于当前值,需要通气
self._status = "Venting"
self._pump_speed = 0.0
self._vacuum_level = min(self._target_vacuum, self._vacuum_level + 5.0)
# 限制真空度范围
self._vacuum_level = max(self._min_vacuum, min(self._max_vacuum, self._vacuum_level))
else:
# 当泵状态不是 Running 时,可保持原状态
self._status = "Vacuum Pump Not Running"
# 释放锁后等待1秒钟
time.sleep(1.0)
except Exception as e:
with self._thread_lock:
self._status = f"Error in vacuum operation: {str(e)}"
break
# 循环结束后的清理工作
if self._pump_state == "Running":
self._status = "Idle"
# 停止泵后,真空度逐渐回升到大气压
while self._vacuum_level < self._max_vacuum * 0.9:
with self._thread_lock:
self._vacuum_level += 2.0
time.sleep(0.1)
def get_status_info(self) -> dict:
"""
获取完整的设备状态信息
Returns:
dict: 包含所有设备状态的字典
"""
return {
"status": self._status,
"power_state": self._power_state,
"pump_state": self._pump_state,
"vacuum_level": self._vacuum_level,
"target_vacuum": self._target_vacuum,
"pump_speed": self._pump_speed,
"pump_efficiency": self._pump_efficiency,
"max_pump_speed": self._max_pump_speed,
}
# 用于测试的主函数
if __name__ == "__main__":
vacuum = MockVacuum()
# 测试基本功能
print("启动真空泵测试...")
vacuum.power_control("On")
print(f"初始状态: {vacuum.get_status_info()}")
# 设置目标真空度并启动
vacuum.set_vacuum_level(10.0) # 设置为10mbar
vacuum.start_vacuum()
# 模拟运行15秒
for i in range(15):
time.sleep(1)
print(
f"{i+1}秒: 真空度={vacuum.vacuum_level:.1f}mbar, 泵速={vacuum.pump_speed:.1f}L/s, 状态={vacuum.status}"
)
# 测试通大气
print("测试通大气...")
vacuum.vent_to_atmosphere()
# 继续运行5秒观察通大气过程
for i in range(5):
time.sleep(1)
print(f"通大气第{i+1}秒: 真空度={vacuum.vacuum_level:.1f}mbar, 状态={vacuum.status}")
vacuum.emergency_stop()
print("测试完成")

View File

@@ -3,6 +3,7 @@ from threading import Lock, Event
from enum import Enum
from dataclasses import dataclass
import time
import traceback
from typing import Any, Union, Optional, overload
import serial.tools.list_ports
@@ -386,3 +387,8 @@ class RunzeSyringePump:
def list():
for item in serial.tools.list_ports.comports():
yield RunzeSyringePumpInfo(port=item.device)
if __name__ == "__main__":
r = RunzeSyringePump("/dev/tty.usbserial-D30JUGG5", "1", 25.0)
r.initialize()

View File

@@ -0,0 +1,282 @@
import sys
import threading
import serial
import serial.tools.list_ports
import re
import time
from typing import Optional, List, Dict, Tuple
class ChinweDevice:
"""
ChinWe设备控制类
提供串口通信、电机控制、传感器数据读取等功能
"""
def __init__(self, port: str, baudrate: int = 115200, debug: bool = False):
"""
初始化ChinWe设备
Args:
port: 串口名称如果为None则自动检测
baudrate: 波特率默认115200
"""
self.debug = debug
self.port = port
self.baudrate = baudrate
self.serial_port: Optional[serial.Serial] = None
self._voltage: float = 0.0
self._ec_value: float = 0.0
self._ec_adc_value: int = 0
self._is_connected = False
self.connect()
@property
def is_connected(self) -> bool:
"""获取连接状态"""
return self._is_connected and self.serial_port and self.serial_port.is_open
@property
def voltage(self) -> float:
"""获取电源电压值"""
return self._voltage
@property
def ec_value(self) -> float:
"""获取电导率值 (ms/cm)"""
return self._ec_value
@property
def ec_adc_value(self) -> int:
"""获取EC ADC原始值"""
return self._ec_adc_value
@property
def device_status(self) -> Dict[str, any]:
"""
获取设备状态信息
Returns:
包含设备状态的字典
"""
return {
"connected": self.is_connected,
"port": self.port,
"baudrate": self.baudrate,
"voltage": self.voltage,
"ec_value": self.ec_value,
"ec_adc_value": self.ec_adc_value
}
def connect(self, port: Optional[str] = None, baudrate: Optional[int] = None) -> bool:
"""
连接到串口设备
Args:
port: 串口名称如果为None则使用初始化时的port或自动检测
baudrate: 波特率如果为None则使用初始化时的baudrate
Returns:
连接是否成功
"""
if self.is_connected:
return True
target_port = port or self.port
target_baudrate = baudrate or self.baudrate
try:
self.serial_port = serial.Serial(target_port, target_baudrate, timeout=0.5)
self._is_connected = True
self.port = target_port
self.baudrate = target_baudrate
connect_allow_times = 5
while not self.serial_port.is_open and connect_allow_times > 0:
time.sleep(0.5)
connect_allow_times -= 1
print(f"尝试连接到 {target_port} @ {target_baudrate},剩余尝试次数: {connect_allow_times}", self.debug)
raise ValueError("串口未打开,请检查设备连接")
print(f"已连接到 {target_port} @ {target_baudrate}", self.debug)
threading.Thread(target=self._read_data, daemon=True).start()
return True
except Exception as e:
print(f"ChinweDevice连接失败: {e}")
self._is_connected = False
return False
def disconnect(self) -> bool:
"""
断开串口连接
Returns:
断开是否成功
"""
if self.serial_port and self.serial_port.is_open:
try:
self.serial_port.close()
self._is_connected = False
print("已断开串口连接")
return True
except Exception as e:
print(f"断开连接失败: {e}")
return False
return True
def _send_motor_command(self, command: str) -> bool:
"""
发送电机控制命令
Args:
command: 电机命令字符串,例如 "M 1 CW 1.5"
Returns:
发送是否成功
"""
if not self.is_connected:
print("设备未连接")
return False
try:
self.serial_port.write((command + "\n").encode('utf-8'))
print(f"发送命令: {command}")
return True
except Exception as e:
print(f"发送命令失败: {e}")
return False
def rotate_motor(self, motor_id: int, turns: float, clockwise: bool = True) -> bool:
"""
使电机转动指定圈数
Args:
motor_id: 电机ID1, 2, 3...
turns: 转动圈数,支持小数
clockwise: True为顺时针False为逆时针
Returns:
命令发送是否成功
"""
if clockwise:
command = f"M {motor_id} CW {turns}"
else:
command = f"M {motor_id} CCW {turns}"
return self._send_motor_command(command)
def set_motor_speed(self, motor_id: int, speed: float) -> bool:
"""
设置电机转速(如果设备支持)
Args:
motor_id: 电机ID1, 2, 3...
speed: 转速值
Returns:
命令发送是否成功
"""
command = f"M {motor_id} SPEED {speed}"
return self._send_motor_command(command)
def _read_data(self) -> List[str]:
"""
读取串口数据并解析
Returns:
读取到的数据行列表
"""
print("开始读取串口数据...")
if not self.is_connected:
return []
data_lines = []
try:
while self.serial_port.in_waiting:
time.sleep(0.1) # 等待数据稳定
try:
line = self.serial_port.readline().decode('utf-8', errors='ignore').strip()
if line:
data_lines.append(line)
self._parse_sensor_data(line)
except Exception as ex:
print(f"解码数据错误: {ex}")
except Exception as e:
print(f"读取串口数据错误: {e}")
return data_lines
def _parse_sensor_data(self, line: str) -> None:
"""
解析传感器数据
Args:
line: 接收到的数据行
"""
# 解析电源电压
if "电源电压" in line:
try:
val = float(line.split("")[1].replace("V", "").strip())
self._voltage = val
if self.debug:
print(f"电源电压更新: {val}V")
except Exception:
pass
# 解析电导率和ADC原始值支持两种格式
if "电导率" in line and "ADC原始值" in line:
try:
# 支持格式如电导率2.50ms/cm, ADC原始值2052
ec_match = re.search(r"电导率[:]\s*([\d\.]+)", line)
adc_match = re.search(r"ADC原始值[:]\s*(\d+)", line)
if ec_match:
ec_val = float(ec_match.group(1))
self._ec_value = ec_val
if self.debug:
print(f"电导率更新: {ec_val:.2f} ms/cm")
if adc_match:
adc_val = int(adc_match.group(1))
self._ec_adc_value = adc_val
if self.debug:
print(f"EC ADC原始值更新: {adc_val}")
except Exception:
pass
# 仅电导率无ADC原始值
elif "电导率" in line:
try:
val = float(line.split("")[1].replace("ms/cm", "").strip())
self._ec_value = val
if self.debug:
print(f"电导率更新: {val:.2f} ms/cm")
except Exception:
pass
# 仅ADC原始值如有分开回传场景
elif "ADC原始值" in line:
try:
adc_val = int(line.split("")[1].strip())
self._ec_adc_value = adc_val
if self.debug:
print(f"EC ADC原始值更新: {adc_val}")
except Exception:
pass
def spin_when_ec_ge_0():
pass
def main():
"""测试函数"""
print("=== ChinWe设备测试 ===")
# 创建设备实例
device = ChinweDevice("/dev/tty.usbserial-A5069RR4", debug=True)
try:
# 测试5: 发送电机命令
print("\n5. 发送电机命令测试:")
print(" 5.3 使用通用函数控制电机20顺时针转2圈:")
device.rotate_motor(2, 20.0, clockwise=True)
time.sleep(0.5)
finally:
time.sleep(10)
# 测试7: 断开连接
print("\n7. 断开连接:")
device.disconnect()
if __name__ == "__main__":
main()

View File

@@ -3,6 +3,8 @@ import logging
import time as time_module
from typing import Dict, Any, Optional
from unilabos.compile.utils.vessel_parser import get_vessel
class VirtualFilter:
"""Virtual filter device - 完全按照 Filter.action 规范 🌊"""
@@ -40,7 +42,6 @@ class VirtualFilter:
"progress": 0.0, # Filter.action feedback
"current_temp": 25.0, # Filter.action feedback
"filtered_volume": 0.0, # Filter.action feedback
"current_status": "Ready for filtration", # Filter.action feedback
"message": "Ready for filtration"
})
@@ -52,9 +53,7 @@ class VirtualFilter:
self.logger.info(f"🧹 清理虚拟过滤器 {self.device_id} 🔚")
self.data.update({
"status": "Offline",
"current_status": "System offline",
"message": "System offline"
"status": "Offline"
})
self.logger.info(f"✅ 过滤器 {self.device_id} 清理完成 💤")
@@ -62,8 +61,8 @@ class VirtualFilter:
async def filter(
self,
vessel: str,
filtrate_vessel: str = "",
vessel: dict,
filtrate_vessel: dict = {},
stir: bool = False,
stir_speed: float = 300.0,
temp: float = 25.0,
@@ -71,7 +70,9 @@ class VirtualFilter:
volume: float = 0.0
) -> bool:
"""Execute filter action - 完全按照 Filter.action 参数 🌊"""
vessel_id, _ = get_vessel(vessel)
filtrate_vessel_id, _ = get_vessel(filtrate_vessel) if filtrate_vessel else (f"{vessel_id}_filtrate", {})
# 🔧 新增:温度自动调整
original_temp = temp
if temp == 0.0:
@@ -81,7 +82,7 @@ class VirtualFilter:
temp = 4.0 # 小于4度自动设置为4度
self.logger.info(f"🌡️ 温度自动调整: {original_temp}°C → {temp}°C (最低温度) ❄️")
self.logger.info(f"🌊 开始过滤操作: {vessel}{filtrate_vessel} 🚰")
self.logger.info(f"🌊 开始过滤操作: {vessel_id}{filtrate_vessel_id} 🚰")
self.logger.info(f" 🌪️ 搅拌: {stir} ({stir_speed} RPM)")
self.logger.info(f" 🌡️ 温度: {temp}°C")
self.logger.info(f" 💧 体积: {volume}mL")
@@ -93,7 +94,6 @@ class VirtualFilter:
self.logger.error(f"{error_msg}")
self.data.update({
"status": f"Error: 温度超出范围 ⚠️",
"current_status": f"Error: 温度超出范围 ⚠️",
"message": error_msg
})
return False
@@ -103,7 +103,6 @@ class VirtualFilter:
self.logger.error(f"{error_msg}")
self.data.update({
"status": f"Error: 搅拌速度超出范围 ⚠️",
"current_status": f"Error: 搅拌速度超出范围 ⚠️",
"message": error_msg
})
return False
@@ -112,8 +111,7 @@ class VirtualFilter:
error_msg = f"💧 过滤体积 {volume} mL 超出范围 (0-{self._max_volume} mL) ⚠️"
self.logger.error(f"{error_msg}")
self.data.update({
"status": f"Error: 体积超出范围 ⚠️",
"current_status": f"Error: 体积超出范围 ⚠️",
"status": f"Error",
"message": error_msg
})
return False
@@ -123,12 +121,11 @@ class VirtualFilter:
self.logger.info(f"🚀 开始过滤 {filter_volume}mL 液体 💧")
self.data.update({
"status": f"🌊 过滤中: {vessel}",
"status": f"Running",
"current_temp": temp,
"filtered_volume": 0.0,
"progress": 0.0,
"current_status": f"🌊 Filtering {vessel}{filtrate_vessel}",
"message": f"🚀 Starting filtration: {vessel}{filtrate_vessel}"
"message": f"🚀 Starting filtration: {vessel_id}{filtrate_vessel_id}"
})
try:
@@ -164,8 +161,7 @@ class VirtualFilter:
"progress": progress, # Filter.action feedback
"current_temp": temp, # Filter.action feedback
"filtered_volume": current_filtered, # Filter.action feedback
"current_status": f"🌊 Filtering: {progress:.1f}% complete", # Filter.action feedback
"status": status_msg,
"status": "Running",
"message": f"🌊 Filtering: {progress:.1f}% complete, {current_filtered:.1f}mL filtered"
})
@@ -190,11 +186,10 @@ class VirtualFilter:
"progress": 100.0, # Filter.action feedback
"current_temp": final_temp, # Filter.action feedback
"filtered_volume": filter_volume, # Filter.action feedback
"current_status": f"✅ Filtration completed: {filter_volume}mL", # Filter.action feedback
"message": f"✅ Filtration completed: {filter_volume}mL filtered from {vessel}"
"message": f"✅ Filtration completed: {filter_volume}mL filtered from {vessel_id}"
})
self.logger.info(f"🎉 过滤完成! 💧 {filter_volume}mL 从 {vessel} 过滤到 {filtrate_vessel}")
self.logger.info(f"🎉 过滤完成! 💧 {filter_volume}mL 从 {vessel_id} 过滤到 {filtrate_vessel_id}")
self.logger.info(f"📊 最终状态: 温度 {final_temp}°C | 进度 100% | 体积 {filter_volume}mL 🏁")
return True
@@ -202,8 +197,7 @@ class VirtualFilter:
error_msg = f"过滤过程中发生错误: {str(e)} 💥"
self.logger.error(f"{error_msg}")
self.data.update({
"status": f"❌ 过滤错误: {str(e)}",
"current_status": f"❌ Filtration failed: {str(e)}",
"status": f"Error",
"message": f"❌ Filtration failed: {str(e)}"
})
return False
@@ -222,17 +216,17 @@ class VirtualFilter:
def current_temp(self) -> float:
"""Filter.action feedback 字段 🌡️"""
return self.data.get("current_temp", 25.0)
@property
def filtered_volume(self) -> float:
"""Filter.action feedback 字段 💧"""
return self.data.get("filtered_volume", 0.0)
@property
def current_status(self) -> str:
"""Filter.action feedback 字段 📋"""
return self.data.get("current_status", "")
@property
def filtered_volume(self) -> float:
"""Filter.action feedback 字段 💧"""
return self.data.get("filtered_volume", 0.0)
@property
def message(self) -> str:
return self.data.get("message", "")

View File

@@ -67,8 +67,8 @@ class VirtualHeatChill:
self.logger.info(f"✅ 温控设备 {self.device_id} 清理完成 💤")
return True
async def heat_chill(self, vessel: str, temp: float, time, stir: bool,
stir_speed: float, purpose: str) -> bool:
async def heat_chill(self, temp: float, time, stir: bool,
stir_speed: float, purpose: str, vessel: dict = {}) -> bool:
"""Execute heat chill action - 🔧 修复:确保参数类型正确"""
# 🔧 关键修复:确保所有参数类型正确
@@ -77,7 +77,6 @@ class VirtualHeatChill:
time_value = float(time) # 强制转换为浮点数
stir_speed = float(stir_speed)
stir = bool(stir)
vessel = str(vessel)
purpose = str(purpose)
except (ValueError, TypeError) as e:
error_msg = f"参数类型转换错误: temp={temp}({type(temp)}), time={time}({type(time)}), error={str(e)}"
@@ -102,8 +101,7 @@ class VirtualHeatChill:
operation_mode = "Maintaining"
status_action = "保温"
self.logger.info(f"🌡️ 开始温控操作: {vessel}{temp}°C {temp_emoji}")
self.logger.info(f" 🥽 容器: {vessel}")
self.logger.info(f"🌡️ 开始温控操作: {temp}°C {temp_emoji}")
self.logger.info(f" 🎯 目标温度: {temp}°C {temp_emoji}")
self.logger.info(f" ⏰ 持续时间: {time_value}s")
self.logger.info(f" 🌪️ 搅拌: {stir} ({stir_speed} RPM)")
@@ -147,7 +145,7 @@ class VirtualHeatChill:
stir_info = f" | 🌪️ 搅拌: {stir_speed} RPM" if stir else ""
self.data.update({
"status": f"{temp_emoji} 运行中: {status_action} {vessel}{temp}°C | ⏰ 剩余: {total_time:.0f}s{stir_info}",
"status": f"{temp_emoji} 运行中: {status_action}{temp}°C | ⏰ 剩余: {total_time:.0f}s{stir_info}",
"operation_mode": operation_mode,
"is_stirring": stir,
"stir_speed": stir_speed if stir else 0.0,
@@ -165,7 +163,7 @@ class VirtualHeatChill:
# 更新剩余时间和状态
self.data.update({
"remaining_time": remaining,
"status": f"{temp_emoji} 运行中: {status_action} {vessel}{temp}°C | ⏰ 剩余: {remaining:.0f}s{stir_info}",
"status": f"{temp_emoji} 运行中: {status_action}{temp}°C | ⏰ 剩余: {remaining:.0f}s{stir_info}",
"progress": progress
})
@@ -185,7 +183,7 @@ class VirtualHeatChill:
final_stir_info = f" | 🌪️ 搅拌: {stir_speed} RPM" if stir else ""
self.data.update({
"status": f"✅ 完成: {vessel} 已达到 {temp}°C {temp_emoji} | ⏱️ 用时: {total_time:.0f}s{final_stir_info}",
"status": f"✅ 完成: 已达到 {temp}°C {temp_emoji} | ⏱️ 用时: {total_time:.0f}s{final_stir_info}",
"operation_mode": "Completed",
"remaining_time": 0.0,
"is_stirring": False,
@@ -195,7 +193,6 @@ class VirtualHeatChill:
self.logger.info(f"🎉 温控操作完成! ✨")
self.logger.info(f"📊 操作结果:")
self.logger.info(f" 🥽 容器: {vessel}")
self.logger.info(f" 🌡️ 达到温度: {temp}°C {temp_emoji}")
self.logger.info(f" ⏱️ 总用时: {total_time:.0f}s")
if stir:
@@ -204,13 +201,12 @@ class VirtualHeatChill:
return True
async def heat_chill_start(self, vessel: str, temp: float, purpose: str) -> bool:
async def heat_chill_start(self, temp: float, purpose: str, vessel: dict = {}) -> bool:
"""Start continuous heat chill 🔄"""
# 🔧 添加类型转换
try:
temp = float(temp)
vessel = str(vessel)
purpose = str(purpose)
except (ValueError, TypeError) as e:
error_msg = f"参数类型转换错误: {str(e)}"
@@ -235,8 +231,7 @@ class VirtualHeatChill:
operation_mode = "Maintaining"
status_action = "恒温保持"
self.logger.info(f"🔄 启动持续温控: {vessel}{temp}°C {temp_emoji}")
self.logger.info(f" 🥽 容器: {vessel}")
self.logger.info(f"🔄 启动持续温控: {temp}°C {temp_emoji}")
self.logger.info(f" 🎯 目标温度: {temp}°C {temp_emoji}")
self.logger.info(f" 🔄 模式: {status_action}")
self.logger.info(f" 📝 目的: {purpose}")
@@ -252,7 +247,7 @@ class VirtualHeatChill:
return False
self.data.update({
"status": f"🔄 启动: {status_action} {vessel}{temp}°C {temp_emoji} | ♾️ 持续运行",
"status": f"🔄 启动: {status_action}{temp}°C {temp_emoji} | ♾️ 持续运行",
"operation_mode": operation_mode,
"is_stirring": False,
"stir_speed": 0.0,
@@ -262,28 +257,20 @@ class VirtualHeatChill:
self.logger.info(f"✅ 持续温控已启动! {temp_emoji} {status_action}模式 🚀")
return True
async def heat_chill_stop(self, vessel: str) -> bool:
async def heat_chill_stop(self, vessel: dict = {}) -> bool:
"""Stop heat chill 🛑"""
# 🔧 添加类型转换
try:
vessel = str(vessel)
except (ValueError, TypeError) as e:
error_msg = f"参数类型转换错误: {str(e)}"
self.logger.error(f"{error_msg}")
return False
self.logger.info(f"🛑 停止温控: {vessel}")
self.logger.info(f"🛑 停止温控:")
self.data.update({
"status": f"🛑 已停止: {vessel} 温控停止",
"status": f"🛑 {self.device_id} 温控停止",
"operation_mode": "Stopped",
"is_stirring": False,
"stir_speed": 0.0,
"remaining_time": 0.0,
})
self.logger.info(f"✅ 温控设备已停止 {vessel} 温度控制 🏁")
self.logger.info(f"✅ 温控设备已停止 {self.device_id} 温度控制 🏁")
return True
# 状态属性

View File

@@ -21,19 +21,6 @@ class VirtualMultiwayValve:
self._current_position = 0 # 默认在0号位transfer pump位置
self._target_position = 0
# 位置映射说明
self.position_map = {
0: "transfer_pump", # 0号位连接转移泵
1: "port_1", # 1号位
2: "port_2", # 2号位
3: "port_3", # 3号位
4: "port_4", # 4号位
5: "port_5", # 5号位
6: "port_6", # 6号位
7: "port_7", # 7号位
8: "port_8" # 8号位
}
print(f"🔄 === 虚拟多通阀门已创建 === ✨")
print(f"🎯 端口: {port} | 📊 位置范围: 0-{self.max_positions} | 🏠 初始位置: 0 (transfer_pump)")
self.logger.info(f"🔧 多通阀门初始化: 端口={port}, 最大位置={self.max_positions}")
@@ -60,7 +47,7 @@ class VirtualMultiwayValve:
def get_current_port(self) -> str:
"""获取当前连接的端口名称 🔌"""
return self.position_map.get(self._current_position, "unknown")
return self._current_position
def set_position(self, command: Union[int, str]):
"""
@@ -115,7 +102,7 @@ class VirtualMultiwayValve:
old_position = self._current_position
old_port = self.get_current_port()
self.logger.info(f"🔄 阀门切换: {old_position}({old_port}) → {pos}({self.position_map.get(pos, 'unknown')}) {pos_emoji}")
self.logger.info(f"🔄 阀门切换: {old_position}({old_port}) → {pos} {pos_emoji}")
self._status = "Busy"
self._valve_state = "Moving"
@@ -190,6 +177,17 @@ class VirtualMultiwayValve:
"""获取阀门位置 - 兼容性方法 📍"""
return self._current_position
def set_valve_position(self, command: Union[int, str]):
"""
设置阀门位置 - 兼容pump_protocol调用 🎯
这是set_position的别名方法用于兼容pump_protocol.py
Args:
command: 目标位置 (0-8) 或位置字符串
"""
# 删除debug日志self.logger.debug(f"🎯 兼容性调用: set_valve_position({command})")
return self.set_position(command)
def is_at_position(self, position: int) -> bool:
"""检查是否在指定位置 🎯"""
result = self._current_position == position
@@ -210,17 +208,6 @@ class VirtualMultiwayValve:
# 删除debug日志self.logger.debug(f"🔌 端口{port_number}检查: {port_status} (当前位置: {self._current_position})")
return result
def get_available_positions(self) -> list:
"""获取可用位置列表 📋"""
positions = list(range(0, self.max_positions + 1))
# 删除debug日志self.logger.debug(f"📋 可用位置: {positions}")
return positions
def get_available_ports(self) -> Dict[int, str]:
"""获取可用端口映射 🗺️"""
# 删除debug日志self.logger.debug(f"🗺️ 端口映射: {self.position_map}")
return self.position_map.copy()
def reset(self):
"""重置阀门到transfer pump位置0号位🔄"""
self.logger.info(f"🔄 重置阀门到泵位置...")
@@ -253,41 +240,12 @@ class VirtualMultiwayValve:
# 删除debug日志self.logger.debug(f"🌊 当前流路: {flow_path}")
return flow_path
def get_info(self) -> dict:
"""获取阀门详细信息 📊"""
info = {
"port": self.port,
"max_positions": self.max_positions,
"total_positions": self.total_positions,
"current_position": self._current_position,
"current_port": self.get_current_port(),
"target_position": self._target_position,
"status": self._status,
"valve_state": self._valve_state,
"flow_path": self.get_flow_path(),
"position_map": self.position_map
}
# 删除debug日志self.logger.debug(f"📊 阀门信息: 位置={self._current_position}, 状态={self._status}, 端口={self.get_current_port()}")
return info
def __str__(self):
current_port = self.get_current_port()
status_emoji = "" if self._status == "Idle" else "🔄" if self._status == "Busy" else ""
return f"🔄 VirtualMultiwayValve({status_emoji} 位置: {self._current_position}/{self.max_positions}, 端口: {current_port}, 状态: {self._status})"
def set_valve_position(self, command: Union[int, str]):
"""
设置阀门位置 - 兼容pump_protocol调用 🎯
这是set_position的别名方法用于兼容pump_protocol.py
Args:
command: 目标位置 (0-8) 或位置字符串
"""
# 删除debug日志self.logger.debug(f"🎯 兼容性调用: set_valve_position({command})")
return self.set_position(command)
# 使用示例
if __name__ == "__main__":
@@ -309,13 +267,6 @@ if __name__ == "__main__":
print(f"\n🔌 切换到2号位: {valve.set_to_port(2)}")
print(f"📍 当前状态: {valve}")
# 显示所有可用位置
print(f"\n📋 可用位置: {valve.get_available_positions()}")
print(f"🗺️ 端口映射: {valve.get_available_ports()}")
# 获取详细信息
print(f"\n📊 详细信息: {valve.get_info()}")
# 测试切换功能
print(f"\n🔄 智能切换测试:")
print(f"当前位置: {valve._current_position}")

View File

@@ -1,197 +0,0 @@
import asyncio
import logging
from typing import Dict, Any, Optional
class VirtualPump:
"""Virtual pump device for transfer and cleaning operations"""
def __init__(self, device_id: str = None, config: Dict[str, Any] = None, **kwargs):
# 处理可能的不同调用方式
if device_id is None and 'id' in kwargs:
device_id = kwargs.pop('id')
if config is None and 'config' in kwargs:
config = kwargs.pop('config')
# 设置默认值
self.device_id = device_id or "unknown_pump"
self.config = config or {}
self.logger = logging.getLogger(f"VirtualPump.{self.device_id}")
self.data = {}
# 从config或kwargs中获取配置参数
self.port = self.config.get('port') or kwargs.get('port', 'VIRTUAL')
self._max_volume = self.config.get('max_volume') or kwargs.get('max_volume', 50.0)
self._transfer_rate = self.config.get('transfer_rate') or kwargs.get('transfer_rate', 10.0)
print(f"=== VirtualPump {self.device_id} created with max_volume={self._max_volume}, transfer_rate={self._transfer_rate} ===")
async def initialize(self) -> bool:
"""Initialize virtual pump"""
self.logger.info(f"Initializing virtual pump {self.device_id}")
self.data.update({
"status": "Idle",
"valve_position": 0,
"current_volume": 0.0,
"max_volume": self._max_volume,
"transfer_rate": self._transfer_rate,
"from_vessel": "",
"to_vessel": "",
"progress": 0.0,
"transferred_volume": 0.0,
"current_status": "Ready"
})
return True
async def cleanup(self) -> bool:
"""Cleanup virtual pump"""
self.logger.info(f"Cleaning up virtual pump {self.device_id}")
return True
async def transfer(self, from_vessel: str, to_vessel: str, volume: float,
amount: str = "", time: float = 0.0, viscous: bool = False,
rinsing_solvent: str = "", rinsing_volume: float = 0.0,
rinsing_repeats: int = 0, solid: bool = False) -> bool:
"""Execute transfer operation"""
self.logger.info(f"Transferring {volume}mL from {from_vessel} to {to_vessel}")
# 计算转移时间
transfer_time = volume / self._transfer_rate if time == 0 else time
self.data.update({
"status": "Running",
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"current_status": "Transferring",
"progress": 0.0,
"transferred_volume": 0.0
})
# 模拟转移过程
steps = 10
step_time = transfer_time / steps
step_volume = volume / steps
for i in range(steps):
await asyncio.sleep(step_time)
progress = (i + 1) / steps * 100
current_volume = step_volume * (i + 1)
self.data.update({
"progress": progress,
"transferred_volume": current_volume,
"current_status": f"Transferring: {progress:.1f}%"
})
self.logger.info(f"Transfer progress: {progress:.1f}%")
self.data.update({
"status": "Idle",
"current_status": "Transfer completed",
"progress": 100.0,
"transferred_volume": volume
})
return True
async def clean_vessel(self, vessel: str, solvent: str, volume: float,
temp: float, repeats: int = 1) -> bool:
"""Execute vessel cleaning operation - matches CleanVessel action"""
self.logger.info(f"Starting vessel cleaning: {vessel} with {solvent} ({volume}mL at {temp}°C, {repeats} repeats)")
# 更新设备状态
self.data.update({
"status": "Running",
"from_vessel": f"flask_{solvent}",
"to_vessel": vessel,
"current_status": "Cleaning in progress",
"progress": 0.0,
"transferred_volume": 0.0
})
# 计算清洗时间(基于体积和重复次数)
# 假设清洗速度为 transfer_rate 的一半(因为需要加载和排放)
cleaning_rate = self._transfer_rate / 2
cleaning_time_per_cycle = volume / cleaning_rate
total_cleaning_time = cleaning_time_per_cycle * repeats
# 模拟清洗过程
steps_per_repeat = 10 # 每次重复清洗分10个步骤
total_steps = steps_per_repeat * repeats
step_time = total_cleaning_time / total_steps
for repeat in range(repeats):
self.logger.info(f"Starting cleaning cycle {repeat + 1}/{repeats}")
for step in range(steps_per_repeat):
await asyncio.sleep(step_time)
# 计算当前进度
current_step = repeat * steps_per_repeat + step + 1
progress = (current_step / total_steps) * 100
# 计算已处理的体积
volume_processed = (current_step / total_steps) * volume * repeats
# 更新状态
self.data.update({
"progress": progress,
"transferred_volume": volume_processed,
"current_status": f"Cleaning cycle {repeat + 1}/{repeats} - Step {step + 1}/{steps_per_repeat} ({progress:.1f}%)"
})
self.logger.info(f"Cleaning progress: {progress:.1f}% (Cycle {repeat + 1}/{repeats})")
# 清洗完成
self.data.update({
"status": "Idle",
"current_status": "Cleaning completed successfully",
"progress": 100.0,
"transferred_volume": volume * repeats,
"from_vessel": "",
"to_vessel": ""
})
self.logger.info(f"Vessel cleaning completed: {vessel}")
return True
# 状态属性
@property
def status(self) -> str:
return self.data.get("status", "Unknown")
@property
def valve_position(self) -> int:
return self.data.get("valve_position", 0)
@property
def current_volume(self) -> float:
return self.data.get("current_volume", 0.0)
@property
def max_volume(self) -> float:
return self.data.get("max_volume", 0.0)
@property
def transfer_rate(self) -> float:
return self.data.get("transfer_rate", 0.0)
@property
def from_vessel(self) -> str:
return self.data.get("from_vessel", "")
@property
def to_vessel(self) -> str:
return self.data.get("to_vessel", "")
@property
def progress(self) -> float:
return self.data.get("progress", 0.0)
@property
def transferred_volume(self) -> float:
return self.data.get("transferred_volume", 0.0)
@property
def current_status(self) -> str:
return self.data.get("current_status", "Ready")

View File

@@ -99,8 +99,8 @@ class VirtualRotavap:
self.logger.error(f"❌ 时间参数类型无效: {type(time)}使用默认值180.0秒")
time = 180.0
# 确保time是float类型
time = float(time)
# 确保time是float类型; 并加速
time = float(time) / 10.0
# 🔧 简化处理如果vessel就是设备自己直接操作
if vessel == self.device_id:

View File

@@ -48,20 +48,6 @@ class VirtualSolenoidValve:
"""获取阀门位置状态"""
return "OPEN" if self._is_open else "CLOSED"
@property
def state(self) -> dict:
"""获取阀门完整状态"""
return {
"device_id": self.device_id,
"port": self.port,
"voltage": self.voltage,
"response_time": self.response_time,
"is_open": self._is_open,
"valve_state": self._valve_state,
"status": self._status,
"position": self.valve_position
}
async def set_valve_position(self, command: str = None, **kwargs):
"""
设置阀门位置 - ROS动作接口

View File

@@ -319,21 +319,6 @@ class VirtualSolidDispenser:
def total_operations(self) -> int:
return self._total_operations
def get_device_info(self) -> Dict[str, Any]:
"""获取设备状态信息 📊"""
info = {
"device_id": self.device_id,
"status": self._status,
"current_reagent": self._current_reagent,
"last_dispensed_amount": self._dispensed_amount,
"total_operations": self._total_operations,
"max_capacity": self.max_capacity,
"precision": self.precision
}
self.logger.debug(f"📊 设备信息: 状态={self._status}, 试剂={self._current_reagent}, 加样量={self._dispensed_amount:.6f}g")
return info
def __str__(self):
status_emoji = "" if self._status == "Ready" else "🔄" if self._status == "Dispensing" else "" if self._status == "Error" else "🏠"
return f"⚗️ VirtualSolidDispenser({status_emoji} {self.device_id}: {self._status}, 最后加样 {self._dispensed_amount:.3f}g)"
@@ -380,8 +365,6 @@ async def test_solid_dispenser():
mass="150 g" # 超过100g限制
)
print(f"📊 测试4结果: {result4}")
print(f"\n📊 最终设备信息: {dispenser.get_device_info()}")
print(f"✅ === 测试完成 === 🎉")

View File

@@ -321,7 +321,7 @@ class VirtualStirrer:
"min_speed": self._min_speed
}
self.logger.debug(f"📊 设备信息: 模式={self.operation_mode}, 速度={self.current_speed} RPM, 搅拌={self.is_stirring}")
# self.logger.debug(f"📊 设备信息: 模式={self.operation_mode}, 速度={self.current_speed} RPM, 搅拌={self.is_stirring}")
return info
def __str__(self):

View File

@@ -380,22 +380,6 @@ class VirtualTransferPump:
"""检查是否已满"""
return self._current_volume >= (self.max_volume - 0.01) # 允许小量误差
# 调试和状态信息
def get_pump_info(self) -> dict:
"""获取泵的详细信息"""
return {
"device_id": self.device_id,
"status": self._status,
"position": self._position,
"current_volume": self._current_volume,
"max_volume": self.max_volume,
"max_velocity": self._max_velocity,
"mode": self.mode.name,
"is_empty": self.is_empty(),
"is_full": self.is_full(),
"remaining_capacity": self.get_remaining_capacity()
}
def __str__(self):
return f"VirtualTransferPump({self.device_id}: {self._current_volume:.2f}/{self.max_volume} ml, {self._status})"
@@ -425,8 +409,6 @@ async def demo():
result = await pump.set_position(0.0)
print(f"Empty result: {result}")
print(f"After emptying: {pump}")
print("\nPump info:", pump.get_pump_info())
if __name__ == "__main__":

View File

@@ -0,0 +1,184 @@
# 工作站抽象基类物料系统架构说明
## 设计理念
基于用户需求"请你帮我系统思考一下,工作站抽象基类的物料系统基类该如何构建",我们最终确定了一个**PyLabRobot Deck为中心**的简化架构。
### 核心原则
1. **PyLabRobot为物料管理核心**使用PyLabRobot的Deck系统作为物料管理的基础利用其成熟的Resource体系
2. **Graphio转换函数集成**使用graphio中的`resource_ulab_to_plr`等转换函数实现UniLab与PLR格式的无缝转换
3. **关注点分离**基类专注核心物料系统HTTP服务等功能在子类中实现
4. **外部系统集成模式**通过ResourceSynchronizer抽象类提供外部物料系统对接模式
## 架构组成
### 1. WorkstationBase基类
**文件**: `workstation_base.py`
**核心功能**
- 使用deck_config和children通过`resource_ulab_to_plr`转换为PLR物料self.deck
- 基础的资源查找和管理功能
- 抽象的工作流执行接口
- ResourceSynchronizer集成点
**关键代码**
```python
def _initialize_material_system(self, deck_config: Dict[str, Any], children_config: Dict[str, Any] = None):
"""初始化基于PLR的物料系统"""
# 合并deck_config和children
complete_config = self._merge_deck_and_children_config(deck_config, children_config)
# 使用graphio转换函数转换为PLR资源
self.deck = resource_ulab_to_plr(complete_config)
```
### 2. ResourceSynchronizer外部系统集成抽象类
**定义在**: `workstation_base.py`
**设计目的**
- 提供外部物料系统如Bioyong、LIMS等集成的标准接口
- 双向同步从外部系统同步到本地deck以及将本地变更同步到外部系统
- 处理外部系统的变更通知
**核心方法**
```python
async def sync_from_external(self) -> bool:
"""从外部系统同步物料到本地deck"""
async def sync_to_external(self, plr_resource) -> bool:
"""将本地物料同步到外部系统"""
async def handle_external_change(self, change_info: Dict[str, Any]) -> bool:
"""处理外部系统的变更通知"""
```
### 3. WorkstationWithHTTP子类示例
**文件**: `workstation_with_http_example.py`
**扩展功能**
- HTTP报送接收服务集成
- 具体工作流实现(液体转移、板洗等)
- Bioyong物料系统同步器示例
- 外部报送处理方法
## 技术栈
### 核心依赖
- **PyLabRobot**: 物料资源管理核心Deck, Resource, Coordinate
- **GraphIO转换函数**: UniLab ↔ PLR格式转换
- `resource_ulab_to_plr`: UniLab格式转PLR格式
- `resource_plr_to_ulab`: PLR格式转UniLab格式
- `convert_resources_to_type`: 通用资源类型转换
- **ROS2**: 基础设备节点通信BaseROS2DeviceNode
### 可选依赖
- **HTTP服务**: 仅在需要外部报送接收的子类中使用
- **外部系统API**: 根据具体集成需求添加
## 使用示例
### 1. 简单工作站仅PLR物料系统
```python
from unilabos.devices.workstation.workstation_base import WorkstationBase
# Deck配置
deck_config = {
"size_x": 1200.0,
"size_y": 800.0,
"size_z": 100.0
}
# 子资源配置
children_config = {
"source_plate": {
"name": "source_plate",
"type": "plate",
"position": {"x": 100, "y": 100, "z": 10},
"config": {"size_x": 127.8, "size_y": 85.5, "size_z": 14.4}
}
}
# 创建工作站
workstation = WorkstationBase(
device_id="simple_workstation",
deck_config=deck_config,
children_config=children_config
)
# 查找资源
plate = workstation.find_resource_by_name("source_plate")
```
### 2. 带HTTP服务的工作站
```python
from unilabos.devices.workstation.workstation_with_http_example import WorkstationWithHTTP
# HTTP服务配置
http_service_config = {
"enabled": True,
"host": "127.0.0.1",
"port": 8081
}
# 创建带HTTP服务的工作站
workstation = WorkstationWithHTTP(
device_id="http_workstation",
deck_config=deck_config,
children_config=children_config,
http_service_config=http_service_config
)
# 执行工作流
success = workstation.execute_workflow("liquid_transfer", {
"volume": 100.0,
"source_wells": ["A1", "A2"],
"dest_wells": ["B1", "B2"]
})
```
### 3. 外部系统集成
```python
class BioyongResourceSynchronizer(ResourceSynchronizer):
"""Bioyong系统同步器"""
async def sync_from_external(self) -> bool:
# 从Bioyong API获取物料
external_materials = await self._fetch_bioyong_materials()
# 转换并添加到本地deck
for material in external_materials:
await self._add_material_to_deck(material)
return True
```
## 设计优势
### 1. **简洁性**
- 基类只专注核心物料管理,没有冗余功能
- 使用成熟的PyLabRobot作为物料管理基础
### 2. **可扩展性**
- 通过子类添加HTTP服务、特定工作流等功能
- ResourceSynchronizer模式支持任意外部系统集成
### 3. **标准化**
- PLR Deck提供标准的资源管理接口
- Graphio转换函数确保格式一致性
### 4. **灵活性**
- 可选择性使用HTTP服务和外部系统集成
- 支持不同类型的工作站需求
## 发展历程
1. **初始设计**: 复杂的统一物料系统包含HTTP服务和多种功能
2. **PyLabRobot集成**: 引入PLR Deck管理但保留了ResourceTracker复杂性
3. **Graphio转换**: 使用graphio转换函数简化初始化
4. **最终简化**: 专注核心PLR物料系统HTTP服务移至子类
这个架构体现了"用PyLabRobot Deck来管理物料会更好但是要做好和外部物料系统的对接"的设计理念,以及"现在我只需要在工作站创建的时候整体使用deck_config和children一起通过resource_ulab_to_plr转换为plr物料self.deck即可"的简化要求。

View File

@@ -0,0 +1,39 @@
from typing import Any, Dict, Optional
from pylabrobot.resources import Resource as PLRResource
from unilabos.device_comms.modbus_plc.client import ModbusTcpClient
from unilabos.devices.workstation.workstation_base import ResourceSynchronizer, WorkstationBase
class CoinCellAssemblyWorkstation(WorkstationBase):
def __init__(
self,
device_id: str,
deck_config: Dict[str, Any],
children: Optional[Dict[str, Any]] = None,
resource_synchronizer: Optional[ResourceSynchronizer] = None,
host: str = "192.168.0.0",
port: str = "",
*args,
**kwargs,
):
super().__init__(
device_id=device_id,
deck_config=deck_config,
children=children,
resource_synchronizer=resource_synchronizer,
*args,
**kwargs,
)
self.hardware_interface = ModbusTcpClient(host=host, port=port)
def run_assembly(self, wf_name: str, resource: PLRResource, params: str = "\{\}"):
"""启动工作流"""
self.current_workflow_status = WorkflowStatus.RUNNING
logger.info(f"工作站 {self.device_id} 启动工作流: {wf_name}")
# TODO: 实现工作流逻辑
anode_sheet = self.deck.get_resource("anode_sheet")

View File

@@ -0,0 +1,649 @@
"""
工作流执行器模块
Workflow Executors Module
基于单一硬件接口的工作流执行器实现
支持Modbus、HTTP、PyLabRobot和代理模式
"""
import time
import json
import asyncio
from typing import Dict, Any, List, Optional, TYPE_CHECKING
from abc import ABC, abstractmethod
if TYPE_CHECKING:
from unilabos.devices.work_station.workstation_base import WorkstationBase
from unilabos.utils.log import logger
class WorkflowExecutor(ABC):
"""工作流执行器基类 - 基于单一硬件接口"""
def __init__(self, workstation: 'WorkstationBase'):
self.workstation = workstation
self.hardware_interface = workstation.hardware_interface
self.material_management = workstation.material_management
@abstractmethod
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行工作流"""
pass
@abstractmethod
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止工作流"""
pass
def call_device(self, method: str, *args, **kwargs) -> Any:
"""调用设备方法的统一接口"""
return self.workstation.call_device_method(method, *args, **kwargs)
def get_device_status(self) -> Dict[str, Any]:
"""获取设备状态"""
return self.workstation.get_device_status()
class ModbusWorkflowExecutor(WorkflowExecutor):
"""Modbus工作流执行器 - 适配 coin_cell_assembly_system"""
def __init__(self, workstation: 'WorkstationBase'):
super().__init__(workstation)
# 验证Modbus接口
if not (hasattr(self.hardware_interface, 'write_register') and
hasattr(self.hardware_interface, 'read_register')):
raise RuntimeError("工作站硬件接口不是有效的Modbus客户端")
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行Modbus工作流"""
if workflow_name == "battery_manufacturing":
return self._execute_battery_manufacturing(parameters)
elif workflow_name == "material_loading":
return self._execute_material_loading(parameters)
elif workflow_name == "quality_check":
return self._execute_quality_check(parameters)
else:
logger.warning(f"不支持的Modbus工作流: {workflow_name}")
return False
def _execute_battery_manufacturing(self, parameters: Dict[str, Any]) -> bool:
"""执行电池制造工作流"""
try:
# 1. 物料准备检查
available_slot = self._find_available_press_slot()
if not available_slot:
raise RuntimeError("没有可用的压制槽")
logger.info(f"找到可用压制槽: {available_slot}")
# 2. 设置工艺参数直接调用Modbus接口
if "electrolyte_num" in parameters:
self.hardware_interface.write_register('REG_MSG_ELECTROLYTE_NUM', parameters["electrolyte_num"])
logger.info(f"设置电解液编号: {parameters['electrolyte_num']}")
if "electrolyte_volume" in parameters:
self.hardware_interface.write_register('REG_MSG_ELECTROLYTE_VOLUME',
parameters["electrolyte_volume"],
data_type="FLOAT32")
logger.info(f"设置电解液体积: {parameters['electrolyte_volume']}")
if "assembly_pressure" in parameters:
self.hardware_interface.write_register('REG_MSG_ASSEMBLY_PRESSURE',
parameters["assembly_pressure"],
data_type="FLOAT32")
logger.info(f"设置装配压力: {parameters['assembly_pressure']}")
# 3. 启动制造流程
self.hardware_interface.write_register('COIL_SYS_START_CMD', True)
logger.info("启动电池制造流程")
# 4. 确认启动成功
time.sleep(0.5)
status = self.hardware_interface.read_register('COIL_SYS_START_STATUS', count=1)
success = status[0] if status else False
if success:
logger.info(f"电池制造工作流启动成功,参数: {parameters}")
else:
logger.error("电池制造工作流启动失败")
return success
except Exception as e:
logger.error(f"执行电池制造工作流失败: {e}")
return False
def _execute_material_loading(self, parameters: Dict[str, Any]) -> bool:
"""执行物料装载工作流"""
try:
material_type = parameters.get('material_type', 'cathode')
position = parameters.get('position', 'A1')
logger.info(f"开始物料装载: {material_type} -> {position}")
# 设置物料类型和位置
self.hardware_interface.write_register('REG_MATERIAL_TYPE', material_type)
self.hardware_interface.write_register('REG_MATERIAL_POSITION', position)
# 启动装载
self.hardware_interface.write_register('COIL_LOAD_START', True)
# 等待装载完成
timeout = parameters.get('timeout', 30)
start_time = time.time()
while time.time() - start_time < timeout:
status = self.hardware_interface.read_register('COIL_LOAD_COMPLETE', count=1)
if status and status[0]:
logger.info(f"物料装载完成: {material_type} -> {position}")
return True
time.sleep(0.5)
logger.error(f"物料装载超时: {material_type} -> {position}")
return False
except Exception as e:
logger.error(f"执行物料装载失败: {e}")
return False
def _execute_quality_check(self, parameters: Dict[str, Any]) -> bool:
"""执行质量检测工作流"""
try:
check_type = parameters.get('check_type', 'dimensional')
logger.info(f"开始质量检测: {check_type}")
# 启动质量检测
self.hardware_interface.write_register('REG_QC_TYPE', check_type)
self.hardware_interface.write_register('COIL_QC_START', True)
# 等待检测完成
timeout = parameters.get('timeout', 60)
start_time = time.time()
while time.time() - start_time < timeout:
status = self.hardware_interface.read_register('COIL_QC_COMPLETE', count=1)
if status and status[0]:
# 读取检测结果
result = self.hardware_interface.read_register('REG_QC_RESULT', count=1)
passed = result[0] if result else False
if passed:
logger.info(f"质量检测通过: {check_type}")
return True
else:
logger.warning(f"质量检测失败: {check_type}")
return False
time.sleep(1.0)
logger.error(f"质量检测超时: {check_type}")
return False
except Exception as e:
logger.error(f"执行质量检测失败: {e}")
return False
def _find_available_press_slot(self) -> Optional[str]:
"""查找可用压制槽"""
try:
press_slots = self.material_management.find_by_category("battery_press_slot")
for slot in press_slots:
if hasattr(slot, 'has_battery') and not slot.has_battery():
return slot.name
return None
except:
# 如果物料管理系统不可用,返回默认槽位
return "A1"
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止工作流"""
try:
if emergency:
self.hardware_interface.write_register('COIL_SYS_RESET_CMD', True)
logger.warning("执行紧急停止")
else:
self.hardware_interface.write_register('COIL_SYS_STOP_CMD', True)
logger.info("执行正常停止")
time.sleep(0.5)
status = self.hardware_interface.read_register('COIL_SYS_STOP_STATUS', count=1)
return status[0] if status else False
except Exception as e:
logger.error(f"停止Modbus工作流失败: {e}")
return False
class HttpWorkflowExecutor(WorkflowExecutor):
"""HTTP工作流执行器 - 适配 reaction_station_bioyong"""
def __init__(self, workstation: 'WorkstationBase'):
super().__init__(workstation)
# 验证HTTP接口
if not (hasattr(self.hardware_interface, 'post') or
hasattr(self.hardware_interface, 'get')):
raise RuntimeError("工作站硬件接口不是有效的HTTP客户端")
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行HTTP工作流"""
try:
if workflow_name == "reaction_synthesis":
return self._execute_reaction_synthesis(parameters)
elif workflow_name == "liquid_feeding":
return self._execute_liquid_feeding(parameters)
elif workflow_name == "temperature_control":
return self._execute_temperature_control(parameters)
else:
logger.warning(f"不支持的HTTP工作流: {workflow_name}")
return False
except Exception as e:
logger.error(f"执行HTTP工作流失败: {e}")
return False
def _execute_reaction_synthesis(self, parameters: Dict[str, Any]) -> bool:
"""执行反应合成工作流"""
try:
# 1. 设置工作流序列
sequence = self._build_reaction_sequence(parameters)
self._call_rpc_method('set_workflow_sequence', json.dumps(sequence))
# 2. 设置反应参数
if parameters.get('temperature'):
self._call_rpc_method('set_temperature', parameters['temperature'])
if parameters.get('pressure'):
self._call_rpc_method('set_pressure', parameters['pressure'])
if parameters.get('stirring_speed'):
self._call_rpc_method('set_stirring_speed', parameters['stirring_speed'])
# 3. 执行工作流
result = self._call_rpc_method('execute_current_sequence', {
"task_name": "reaction_synthesis"
})
success = result.get('success', False)
if success:
logger.info("反应合成工作流执行成功")
else:
logger.error(f"反应合成工作流执行失败: {result.get('error', '未知错误')}")
return success
except Exception as e:
logger.error(f"执行反应合成工作流失败: {e}")
return False
def _execute_liquid_feeding(self, parameters: Dict[str, Any]) -> bool:
"""执行液体投料工作流"""
try:
reagents = parameters.get('reagents', [])
volumes = parameters.get('volumes', [])
if len(reagents) != len(volumes):
raise ValueError("试剂列表和体积列表长度不匹配")
# 执行投料序列
for reagent, volume in zip(reagents, volumes):
result = self._call_rpc_method('feed_liquid', {
'reagent': reagent,
'volume': volume
})
if not result.get('success', False):
logger.error(f"投料失败: {reagent} {volume}mL")
return False
logger.info(f"投料成功: {reagent} {volume}mL")
return True
except Exception as e:
logger.error(f"执行液体投料失败: {e}")
return False
def _execute_temperature_control(self, parameters: Dict[str, Any]) -> bool:
"""执行温度控制工作流"""
try:
target_temp = parameters.get('temperature', 25)
hold_time = parameters.get('hold_time', 300) # 秒
# 设置目标温度
result = self._call_rpc_method('set_temperature', target_temp)
if not result.get('success', False):
logger.error(f"设置温度失败: {target_temp}°C")
return False
# 等待温度稳定
logger.info(f"等待温度稳定到 {target_temp}°C")
# 保持温度指定时间
if hold_time > 0:
logger.info(f"保持温度 {hold_time}")
time.sleep(hold_time)
return True
except Exception as e:
logger.error(f"执行温度控制失败: {e}")
return False
def _build_reaction_sequence(self, parameters: Dict[str, Any]) -> List[str]:
"""构建反应合成工作流序列"""
sequence = []
# 添加预处理步骤
if parameters.get('purge_with_inert'):
sequence.append("purge_inert_gas")
# 添加温度设置
if parameters.get('temperature'):
sequence.append(f"set_temperature_{parameters['temperature']}")
# 添加压力设置
if parameters.get('pressure'):
sequence.append(f"set_pressure_{parameters['pressure']}")
# 添加搅拌设置
if parameters.get('stirring_speed'):
sequence.append(f"set_stirring_{parameters['stirring_speed']}")
# 添加反应步骤
sequence.extend([
"start_reaction",
"monitor_progress",
"complete_reaction"
])
# 添加后处理步骤
if parameters.get('cooling_required'):
sequence.append("cool_down")
return sequence
def _call_rpc_method(self, method: str, params: Any = None) -> Dict[str, Any]:
"""调用RPC方法"""
try:
if hasattr(self.hardware_interface, method):
# 直接方法调用
if isinstance(params, dict):
params = json.dumps(params)
elif params is None:
params = ""
return getattr(self.hardware_interface, method)(params)
else:
# HTTP请求调用
if hasattr(self.hardware_interface, 'post'):
response = self.hardware_interface.post(f"/api/{method}", json=params)
return response.json()
else:
raise AttributeError(f"HTTP接口不支持方法: {method}")
except Exception as e:
logger.error(f"调用RPC方法失败 {method}: {e}")
return {'success': False, 'error': str(e)}
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止工作流"""
try:
if emergency:
result = self._call_rpc_method('scheduler_reset')
else:
result = self._call_rpc_method('scheduler_stop')
return result.get('success', False)
except Exception as e:
logger.error(f"停止HTTP工作流失败: {e}")
return False
class PyLabRobotWorkflowExecutor(WorkflowExecutor):
"""PyLabRobot工作流执行器 - 适配 prcxi.py"""
def __init__(self, workstation: 'WorkstationBase'):
super().__init__(workstation)
# 验证PyLabRobot接口
if not (hasattr(self.hardware_interface, 'transfer_liquid') or
hasattr(self.hardware_interface, 'pickup_tips')):
raise RuntimeError("工作站硬件接口不是有效的PyLabRobot设备")
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行PyLabRobot工作流"""
try:
if workflow_name == "liquid_transfer":
return self._execute_liquid_transfer(parameters)
elif workflow_name == "tip_pickup_drop":
return self._execute_tip_operations(parameters)
elif workflow_name == "plate_handling":
return self._execute_plate_handling(parameters)
else:
logger.warning(f"不支持的PyLabRobot工作流: {workflow_name}")
return False
except Exception as e:
logger.error(f"执行PyLabRobot工作流失败: {e}")
return False
def _execute_liquid_transfer(self, parameters: Dict[str, Any]) -> bool:
"""执行液体转移工作流"""
try:
# 1. 解析物料引用
sources = self._resolve_containers(parameters.get('sources', []))
targets = self._resolve_containers(parameters.get('targets', []))
tip_racks = self._resolve_tip_racks(parameters.get('tip_racks', []))
if not sources or not targets:
raise ValueError("液体转移需要指定源容器和目标容器")
if not tip_racks:
logger.warning("未指定枪头架,将尝试自动查找")
tip_racks = self._find_available_tip_racks()
# 2. 执行液体转移
volumes = parameters.get('volumes', [])
if not volumes:
volumes = [100.0] * len(sources) # 默认体积
# 如果是同步接口
if hasattr(self.hardware_interface, 'transfer_liquid'):
result = self.hardware_interface.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=tip_racks,
asp_vols=volumes,
dis_vols=volumes,
**parameters.get('options', {})
)
else:
# 异步接口需要特殊处理
asyncio.run(self._async_liquid_transfer(sources, targets, tip_racks, volumes, parameters))
result = True
if result:
logger.info(f"液体转移工作流完成: {len(sources)}个源 -> {len(targets)}个目标")
return bool(result)
except Exception as e:
logger.error(f"执行液体转移失败: {e}")
return False
async def _async_liquid_transfer(self, sources, targets, tip_racks, volumes, parameters):
"""异步液体转移"""
await self.hardware_interface.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=tip_racks,
asp_vols=volumes,
dis_vols=volumes,
**parameters.get('options', {})
)
def _execute_tip_operations(self, parameters: Dict[str, Any]) -> bool:
"""执行枪头操作工作流"""
try:
operation = parameters.get('operation', 'pickup')
tip_racks = self._resolve_tip_racks(parameters.get('tip_racks', []))
if not tip_racks:
raise ValueError("枪头操作需要指定枪头架")
if operation == 'pickup':
result = self.hardware_interface.pickup_tips(tip_racks[0])
logger.info("枪头拾取完成")
elif operation == 'drop':
result = self.hardware_interface.drop_tips()
logger.info("枪头丢弃完成")
else:
raise ValueError(f"不支持的枪头操作: {operation}")
return bool(result)
except Exception as e:
logger.error(f"执行枪头操作失败: {e}")
return False
def _execute_plate_handling(self, parameters: Dict[str, Any]) -> bool:
"""执行板类处理工作流"""
try:
operation = parameters.get('operation', 'move')
source_position = parameters.get('source_position')
target_position = parameters.get('target_position')
if operation == 'move' and source_position and target_position:
# 移动板类
result = self.hardware_interface.move_plate(source_position, target_position)
logger.info(f"板类移动完成: {source_position} -> {target_position}")
else:
logger.warning(f"不支持的板类操作或参数不完整: {operation}")
return False
return bool(result)
except Exception as e:
logger.error(f"执行板类处理失败: {e}")
return False
def _resolve_containers(self, container_names: List[str]):
"""解析容器名称为实际容器对象"""
containers = []
for name in container_names:
try:
container = self.material_management.find_material_by_id(name)
if container:
containers.append(container)
else:
logger.warning(f"未找到容器: {name}")
except:
logger.warning(f"解析容器失败: {name}")
return containers
def _resolve_tip_racks(self, tip_rack_names: List[str]):
"""解析枪头架名称为实际对象"""
tip_racks = []
for name in tip_rack_names:
try:
tip_rack = self.material_management.find_by_category("tip_rack")
matching_racks = [rack for rack in tip_rack if rack.name == name]
if matching_racks:
tip_racks.extend(matching_racks)
else:
logger.warning(f"未找到枪头架: {name}")
except:
logger.warning(f"解析枪头架失败: {name}")
return tip_racks
def _find_available_tip_racks(self):
"""查找可用的枪头架"""
try:
tip_racks = self.material_management.find_by_category("tip_rack")
available_racks = [rack for rack in tip_racks if hasattr(rack, 'has_tips') and rack.has_tips()]
return available_racks[:1] # 返回第一个可用的枪头架
except:
return []
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止工作流"""
try:
if emergency:
if hasattr(self.hardware_interface, 'emergency_stop'):
return self.hardware_interface.emergency_stop()
else:
logger.warning("设备不支持紧急停止")
return False
else:
if hasattr(self.hardware_interface, 'graceful_stop'):
return self.hardware_interface.graceful_stop()
elif hasattr(self.hardware_interface, 'stop'):
return self.hardware_interface.stop()
else:
logger.warning("设备不支持优雅停止")
return False
except Exception as e:
logger.error(f"停止PyLabRobot工作流失败: {e}")
return False
class ProxyWorkflowExecutor(WorkflowExecutor):
"""代理工作流执行器 - 处理代理模式的工作流"""
def __init__(self, workstation: 'WorkstationBase'):
super().__init__(workstation)
# 验证代理接口
if not isinstance(self.hardware_interface, str) or not self.hardware_interface.startswith("proxy:"):
raise RuntimeError("工作站硬件接口不是有效的代理字符串")
self.device_id = self.hardware_interface[6:] # 移除 "proxy:" 前缀
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行代理工作流"""
try:
# 通过协议节点调用目标设备的工作流
if self.workstation._workstation_node:
return self.workstation._workstation_node.call_device_method(
self.device_id, 'execute_workflow', workflow_name, parameters
)
else:
logger.error("代理模式需要workstation_node")
return False
except Exception as e:
logger.error(f"执行代理工作流失败: {e}")
return False
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止代理工作流"""
try:
if self.workstation._workstation_node:
return self.workstation._workstation_node.call_device_method(
self.device_id, 'stop_workflow', emergency
)
else:
logger.error("代理模式需要workstation_node")
return False
except Exception as e:
logger.error(f"停止代理工作流失败: {e}")
return False
# 辅助函数
def get_executor_for_interface(hardware_interface) -> str:
"""根据硬件接口类型获取执行器类型名称"""
if isinstance(hardware_interface, str) and hardware_interface.startswith("proxy:"):
return "ProxyWorkflowExecutor"
elif hasattr(hardware_interface, 'write_register') and hasattr(hardware_interface, 'read_register'):
return "ModbusWorkflowExecutor"
elif hasattr(hardware_interface, 'post') or hasattr(hardware_interface, 'get'):
return "HttpWorkflowExecutor"
elif hasattr(hardware_interface, 'transfer_liquid') or hasattr(hardware_interface, 'pickup_tips'):
return "PyLabRobotWorkflowExecutor"
else:
return "UnknownExecutor"

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"""
工作站基类
Workstation Base Class - 简化版
基于PLR Deck的简化工作站架构
专注于核心物料系统和工作流管理
"""
import collections
import time
from typing import Dict, Any, List, Optional, Union
from abc import ABC, abstractmethod
from dataclasses import dataclass
from enum import Enum
from pylabrobot.resources import Deck, Plate, Resource as PLRResource
from pylabrobot.resources.coordinate import Coordinate
from unilabos.ros.nodes.presets.workstation import ROS2WorkstationNode
from unilabos.utils.log import logger
class WorkflowStatus(Enum):
"""工作流状态"""
IDLE = "idle"
INITIALIZING = "initializing"
RUNNING = "running"
PAUSED = "paused"
STOPPING = "stopping"
STOPPED = "stopped"
ERROR = "error"
COMPLETED = "completed"
@dataclass
class WorkflowInfo:
"""工作流信息"""
name: str
description: str
estimated_duration: float # 预估持续时间(秒)
required_materials: List[str] # 所需物料类型
output_product: str # 输出产品类型
parameters_schema: Dict[str, Any] # 参数架构
class WorkStationContainer(Plate):
"""
WorkStation 专用 Container 类,继承自 Plate和TipRack
注意这个物料必须通过plr_additional_res_reg.py注册到edge才能正常序列化
"""
def __init__(
self,
name: str,
size_x: float,
size_y: float,
size_z: float,
category: str,
ordering: collections.OrderedDict,
model: Optional[str] = None,
):
"""
这里的初始化入参要和plr的保持一致
"""
super().__init__(name, size_x, size_y, size_z, category=category, ordering=ordering, model=model)
self._unilabos_state = {} # 必须有此行,自己的类描述的是物料的
def load_state(self, state: Dict[str, Any]) -> None:
"""从给定的状态加载工作台信息。"""
super().load_state(state)
self._unilabos_state = state
def serialize_state(self) -> Dict[str, Dict[str, Any]]:
data = super().serialize_state()
data.update(
self._unilabos_state
) # Container自身的信息云端物料将保存这一data本地也通过这里的data进行读写当前类用来表示这个物料的长宽高大小的属性而datastate用来表示物料的内容细节等
return data
def get_workstation_plate_resource(name: str) -> PLRResource: # 要给定一个返回plr的方法
"""
用于获取一些模板,例如返回一个带有特定信息/子物料的 Plate这里需要到注册表注册例如unilabos/registry/resources/organic/workstation.yaml
可以直接运行该函数或者利用注册表补全机制,来检查是否资源出错
:param name: 资源名称
:return: Resource对象
"""
plate = WorkStationContainer(
name, size_x=50, size_y=50, size_z=10, category="plate", ordering=collections.OrderedDict()
)
tip_rack = WorkStationContainer(
"tip_rack_inside_plate",
size_x=50,
size_y=50,
size_z=10,
category="tip_rack",
ordering=collections.OrderedDict(),
)
plate.assign_child_resource(tip_rack, Coordinate.zero())
return plate
class ResourceSynchronizer(ABC):
"""资源同步器基类
负责与外部物料系统的同步,并对 self.deck 做修改
"""
def __init__(self, workstation: "WorkstationBase"):
self.workstation = workstation
@abstractmethod
async def sync_from_external(self) -> bool:
"""从外部系统同步物料到本地deck"""
pass
@abstractmethod
async def sync_to_external(self, plr_resource: PLRResource) -> bool:
"""将本地物料同步到外部系统"""
pass
@abstractmethod
async def handle_external_change(self, change_info: Dict[str, Any]) -> bool:
"""处理外部系统的变更通知"""
pass
class WorkstationBase(ABC):
"""工作站基类 - 简化版
核心功能:
1. 基于 PLR Deck 的物料系统,支持格式转换
2. 可选的资源同步器支持外部物料系统
3. 简化的工作流管理
"""
_ros_node: ROS2WorkstationNode
@property
def _children(self) -> Dict[str, Any]: # 不要删除这个下划线,不然会自动导入注册表,后面改成装饰器识别
return self._ros_node.children
async def update_resource_example(self):
return await self._ros_node.update_resource([get_workstation_plate_resource("test")])
def __init__(
self,
station_resource: PLRResource,
*args,
**kwargs, # 必须有kwargs
):
# 基本配置
print(station_resource)
self.deck_config = station_resource
# PLR 物料系统
self.deck: Optional[Deck] = None
self.plr_resources: Dict[str, PLRResource] = {}
# 资源同步器(可选)
self.resource_synchronizer = ResourceSynchronizer(self) # 要在driver中自行初始化只有workstation用
# 硬件接口
self.hardware_interface: Union[Any, str] = None
# 工作流状态
self.current_workflow_status = WorkflowStatus.IDLE
self.current_workflow_info = None
self.workflow_start_time = None
self.workflow_parameters = {}
# 支持的工作流(静态预定义)
self.supported_workflows: Dict[str, WorkflowInfo] = {}
# 初始化物料系统
self._initialize_material_system()
# 注册支持的工作流
self._register_supported_workflows()
logger.info(f"工作站 {device_id} 初始化完成(简化版)")
def _initialize_material_system(self):
"""初始化物料系统 - 使用 graphio 转换"""
try:
from unilabos.resources.graphio import resource_ulab_to_plr
# 1. 合并 deck_config 和 children 创建完整的资源树
complete_resource_config = self._create_complete_resource_config()
# 2. 使用 graphio 转换为 PLR 资源
self.deck = resource_ulab_to_plr(complete_resource_config, plr_model=True)
# 3. 建立资源映射
self._build_resource_mappings(self.deck)
# 4. 如果有资源同步器,执行初始同步
if self.resource_synchronizer:
# 这里可以异步执行,暂时跳过
pass
logger.info(f"工作站 {self.device_id} 物料系统初始化成功,创建了 {len(self.plr_resources)} 个资源")
except Exception as e:
logger.error(f"工作站 {self.device_id} 物料系统初始化失败: {e}")
raise
def _create_complete_resource_config(self) -> Dict[str, Any]:
"""创建完整的资源配置 - 合并 deck_config 和 children"""
# 创建主 deck 配置
deck_resource = {
"id": f"{self.device_id}_deck",
"name": f"{self.device_id}_deck",
"type": "deck",
"position": {"x": 0, "y": 0, "z": 0},
"config": {
"size_x": self.deck_config.get("size_x", 1000.0),
"size_y": self.deck_config.get("size_y", 1000.0),
"size_z": self.deck_config.get("size_z", 100.0),
**{k: v for k, v in self.deck_config.items() if k not in ["size_x", "size_y", "size_z"]},
},
"data": {},
"children": [],
"parent": None,
}
# 添加子资源
if self._children:
children_list = []
for child_id, child_config in self._children.items():
child_resource = self._normalize_child_resource(child_id, child_config, deck_resource["id"])
children_list.append(child_resource)
deck_resource["children"] = children_list
return deck_resource
def _normalize_child_resource(self, resource_id: str, config: Dict[str, Any], parent_id: str) -> Dict[str, Any]:
"""标准化子资源配置"""
return {
"id": resource_id,
"name": config.get("name", resource_id),
"type": config.get("type", "container"),
"position": self._normalize_position(config.get("position", {})),
"config": config.get("config", {}),
"data": config.get("data", {}),
"children": [], # 简化版本:只支持一层子资源
"parent": parent_id,
}
def _normalize_position(self, position: Any) -> Dict[str, float]:
"""标准化位置信息"""
if isinstance(position, dict):
return {
"x": float(position.get("x", 0)),
"y": float(position.get("y", 0)),
"z": float(position.get("z", 0)),
}
elif isinstance(position, (list, tuple)) and len(position) >= 2:
return {
"x": float(position[0]),
"y": float(position[1]),
"z": float(position[2]) if len(position) > 2 else 0.0,
}
else:
return {"x": 0.0, "y": 0.0, "z": 0.0}
def _build_resource_mappings(self, deck: Deck):
"""递归构建资源映射"""
def add_resource_recursive(resource: PLRResource):
if hasattr(resource, "name"):
self.plr_resources[resource.name] = resource
if hasattr(resource, "children"):
for child in resource.children:
add_resource_recursive(child)
add_resource_recursive(deck)
# ============ 硬件接口管理 ============
def set_hardware_interface(self, hardware_interface: Union[Any, str]):
"""设置硬件接口"""
self.hardware_interface = hardware_interface
logger.info(f"工作站 {self.device_id} 硬件接口设置: {type(hardware_interface).__name__}")
def set_workstation_node(self, workstation_node: "ROS2WorkstationNode"):
"""设置协议节点引用(用于代理模式)"""
self._ros_node = workstation_node
logger.info(f"工作站 {self.device_id} 关联协议节点")
# ============ 设备操作接口 ============
def call_device_method(self, method: str, *args, **kwargs) -> Any:
"""调用设备方法的统一接口"""
# 1. 代理模式:通过协议节点转发
if isinstance(self.hardware_interface, str) and self.hardware_interface.startswith("proxy:"):
if not self._ros_node:
raise RuntimeError("代理模式需要设置workstation_node")
device_id = self.hardware_interface[6:] # 移除 "proxy:" 前缀
return self._ros_node.call_device_method(device_id, method, *args, **kwargs)
# 2. 直接模式:直接调用硬件接口方法
elif self.hardware_interface and hasattr(self.hardware_interface, method):
return getattr(self.hardware_interface, method)(*args, **kwargs)
else:
raise AttributeError(f"硬件接口不支持方法: {method}")
def get_device_status(self) -> Dict[str, Any]:
"""获取设备状态"""
try:
return self.call_device_method("get_status")
except AttributeError:
# 如果设备不支持get_status方法返回基础状态
return {
"status": "unknown",
"interface_type": type(self.hardware_interface).__name__,
"timestamp": time.time(),
}
def is_device_available(self) -> bool:
"""检查设备是否可用"""
try:
self.get_device_status()
return True
except:
return False
# ============ 物料系统接口 ============
def get_deck(self) -> Deck:
"""获取主 Deck"""
return self.deck
def get_all_resources(self) -> Dict[str, PLRResource]:
"""获取所有 PLR 资源"""
return self.plr_resources.copy()
def find_resource_by_name(self, name: str) -> Optional[PLRResource]:
"""按名称查找资源"""
return self.plr_resources.get(name)
def find_resources_by_type(self, resource_type: type) -> List[PLRResource]:
"""按类型查找资源"""
return [res for res in self.plr_resources.values() if isinstance(res, resource_type)]
async def sync_with_external_system(self) -> bool:
"""与外部物料系统同步"""
if not self.resource_synchronizer:
logger.info(f"工作站 {self.device_id} 没有配置资源同步器")
return True
try:
success = await self.resource_synchronizer.sync_from_external()
if success:
logger.info(f"工作站 {self.device_id} 外部同步成功")
else:
logger.warning(f"工作站 {self.device_id} 外部同步失败")
return success
except Exception as e:
logger.error(f"工作站 {self.device_id} 外部同步异常: {e}")
return False
# ============ 简化的工作流控制 ============
def execute_workflow(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行工作流"""
try:
# 设置工作流状态
self.current_workflow_status = WorkflowStatus.INITIALIZING
self.workflow_parameters = parameters
self.workflow_start_time = time.time()
# 委托给子类实现
success = self._execute_workflow_impl(workflow_name, parameters)
if success:
self.current_workflow_status = WorkflowStatus.RUNNING
logger.info(f"工作站 {self.device_id} 工作流 {workflow_name} 启动成功")
else:
self.current_workflow_status = WorkflowStatus.ERROR
logger.error(f"工作站 {self.device_id} 工作流 {workflow_name} 启动失败")
return success
except Exception as e:
self.current_workflow_status = WorkflowStatus.ERROR
logger.error(f"工作站 {self.device_id} 执行工作流失败: {e}")
return False
def stop_workflow(self, emergency: bool = False) -> bool:
"""停止工作流"""
try:
if self.current_workflow_status in [WorkflowStatus.IDLE, WorkflowStatus.STOPPED]:
logger.warning(f"工作站 {self.device_id} 没有正在运行的工作流")
return True
self.current_workflow_status = WorkflowStatus.STOPPING
# 委托给子类实现
success = self._stop_workflow_impl(emergency)
if success:
self.current_workflow_status = WorkflowStatus.STOPPED
logger.info(f"工作站 {self.device_id} 工作流停止成功 (紧急: {emergency})")
else:
self.current_workflow_status = WorkflowStatus.ERROR
logger.error(f"工作站 {self.device_id} 工作流停止失败")
return success
except Exception as e:
self.current_workflow_status = WorkflowStatus.ERROR
logger.error(f"工作站 {self.device_id} 停止工作流失败: {e}")
return False
# ============ 状态属性 ============
@property
def workflow_status(self) -> WorkflowStatus:
"""获取当前工作流状态"""
return self.current_workflow_status
@property
def is_busy(self) -> bool:
"""检查工作站是否忙碌"""
return self.current_workflow_status in [
WorkflowStatus.INITIALIZING,
WorkflowStatus.RUNNING,
WorkflowStatus.STOPPING,
]
@property
def workflow_runtime(self) -> float:
"""获取工作流运行时间(秒)"""
if self.workflow_start_time is None:
return 0.0
return time.time() - self.workflow_start_time
# ============ 抽象方法 - 子类必须实现 ============
@abstractmethod
def _register_supported_workflows(self):
"""注册支持的工作流 - 子类必须实现"""
pass
@abstractmethod
def _execute_workflow_impl(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行工作流的具体实现 - 子类必须实现"""
pass
@abstractmethod
def _stop_workflow_impl(self, emergency: bool = False) -> bool:
"""停止工作流的具体实现 - 子类必须实现"""
pass
class WorkstationExample(WorkstationBase):
"""工作站示例实现"""
def _register_supported_workflows(self):
"""注册支持的工作流"""
self.supported_workflows["example_workflow"] = WorkflowInfo(
name="example_workflow",
description="这是一个示例工作流",
estimated_duration=300.0,
required_materials=["sample_plate"],
output_product="processed_plate",
parameters_schema={"param1": "string", "param2": "integer"},
)
def _execute_workflow_impl(self, workflow_name: str, parameters: Dict[str, Any]) -> bool:
"""执行工作流的具体实现"""
if workflow_name not in self.supported_workflows:
logger.error(f"工作站 {self.device_id} 不支持工作流: {workflow_name}")
return False
# 这里添加实际的工作流逻辑
logger.info(f"工作站 {self.device_id} 正在执行工作流: {workflow_name} with parameters {parameters}")
return True
def _stop_workflow_impl(self, emergency: bool = False) -> bool:
"""停止工作流的具体实现"""
# 这里添加实际的停止逻辑
logger.info(f"工作站 {self.device_id} 正在停止工作流 (紧急: {emergency})")
return True

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@@ -0,0 +1,605 @@
"""
工作站HTTP服务模块
Workstation HTTP Service Module
统一的工作站报送接收服务基于LIMS协议规范
1. 步骤完成报送 - POST /report/step_finish
2. 通量完成报送 - POST /report/sample_finish
3. 任务完成报送 - POST /report/order_finish
4. 批量更新报送 - POST /report/batch_update
5. 物料变更报送 - POST /report/material_change
6. 错误处理报送 - POST /report/error_handling
7. 健康检查和状态查询
统一使用LIMS协议字段规范简化接口避免功能重复
"""
import json
import threading
import time
import traceback
from typing import Dict, Any, Optional, List
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse
from dataclasses import dataclass, asdict
from datetime import datetime
from unilabos.utils.log import logger
@dataclass
class WorkstationReportRequest:
"""统一工作站报送请求基于LIMS协议规范"""
token: str # 授权令牌
request_time: str # 请求时间格式2024-12-12 12:12:12.xxx
data: Dict[str, Any] # 报送数据
@dataclass
class MaterialUsage:
"""物料使用记录"""
materialId: str # 物料IdGUID
locationId: str # 库位IdGUID
typeMode: str # 物料类型样品1、试剂2、耗材0
usedQuantity: float # 使用的数量(数字)
@dataclass
class HttpResponse:
"""HTTP响应"""
success: bool
message: str
data: Optional[Dict[str, Any]] = None
acknowledgment_id: Optional[str] = None
class WorkstationHTTPHandler(BaseHTTPRequestHandler):
"""工作站HTTP请求处理器"""
def __init__(self, workstation_instance, *args, **kwargs):
self.workstation = workstation_instance
super().__init__(*args, **kwargs)
def do_POST(self):
"""处理POST请求 - 统一的工作站报送接口"""
try:
# 解析请求路径
parsed_path = urlparse(self.path)
endpoint = parsed_path.path
# 读取请求体
content_length = int(self.headers.get('Content-Length', 0))
if content_length > 0:
post_data = self.rfile.read(content_length)
request_data = json.loads(post_data.decode('utf-8'))
else:
request_data = {}
logger.info(f"收到工作站报送: {endpoint} - {request_data.get('token', 'unknown')}")
# 统一的报送端点路由基于LIMS协议规范
if endpoint == '/report/step_finish':
response = self._handle_step_finish_report(request_data)
elif endpoint == '/report/sample_finish':
response = self._handle_sample_finish_report(request_data)
elif endpoint == '/report/order_finish':
response = self._handle_order_finish_report(request_data)
elif endpoint == '/report/batch_update':
response = self._handle_batch_update_report(request_data)
# 扩展报送端点
elif endpoint == '/report/material_change':
response = self._handle_material_change_report(request_data)
elif endpoint == '/report/error_handling':
response = self._handle_error_handling_report(request_data)
# 保留LIMS协议端点以兼容现有系统
elif endpoint == '/LIMS/step_finish':
response = self._handle_step_finish_report(request_data)
elif endpoint == '/LIMS/preintake_finish':
response = self._handle_sample_finish_report(request_data)
elif endpoint == '/LIMS/order_finish':
response = self._handle_order_finish_report(request_data)
else:
response = HttpResponse(
success=False,
message=f"不支持的报送端点: {endpoint}",
data={"supported_endpoints": [
"/report/step_finish",
"/report/sample_finish",
"/report/order_finish",
"/report/batch_update",
"/report/material_change",
"/report/error_handling"
]}
)
# 发送响应
self._send_response(response)
except Exception as e:
logger.error(f"处理工作站报送失败: {e}\\n{traceback.format_exc()}")
error_response = HttpResponse(
success=False,
message=f"请求处理失败: {str(e)}"
)
self._send_response(error_response)
def do_GET(self):
"""处理GET请求 - 健康检查和状态查询"""
try:
parsed_path = urlparse(self.path)
endpoint = parsed_path.path
if endpoint == '/status':
response = self._handle_status_check()
elif endpoint == '/health':
response = HttpResponse(success=True, message="服务健康")
else:
response = HttpResponse(
success=False,
message=f"不支持的查询端点: {endpoint}",
data={"supported_endpoints": ["/status", "/health"]}
)
self._send_response(response)
except Exception as e:
logger.error(f"GET请求处理失败: {e}")
error_response = HttpResponse(
success=False,
message=f"GET请求处理失败: {str(e)}"
)
self._send_response(error_response)
def _handle_step_finish_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理步骤完成报送统一LIMS协议规范"""
try:
# 验证基本字段
required_fields = ['token', 'request_time', 'data']
if missing_fields := [field for field in required_fields if field not in request_data]:
return HttpResponse(
success=False,
message=f"缺少必要字段: {', '.join(missing_fields)}"
)
# 验证data字段内容
data = request_data['data']
data_required_fields = ['orderCode', 'orderName', 'stepName', 'stepId', 'sampleId', 'startTime', 'endTime']
if data_missing_fields := [field for field in data_required_fields if field not in data]:
return HttpResponse(
success=False,
message=f"data字段缺少必要内容: {', '.join(data_missing_fields)}"
)
# 创建统一请求对象
report_request = WorkstationReportRequest(
token=request_data['token'],
request_time=request_data['request_time'],
data=data
)
# 调用工作站处理方法
result = self.workstation.process_step_finish_report(report_request)
return HttpResponse(
success=True,
message=f"步骤完成报送已处理: {data['stepName']} ({data['orderCode']})",
acknowledgment_id=f"STEP_{int(time.time() * 1000)}_{data['stepId']}",
data=result
)
except Exception as e:
logger.error(f"处理步骤完成报送失败: {e}")
return HttpResponse(
success=False,
message=f"步骤完成报送处理失败: {str(e)}"
)
def _handle_sample_finish_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理通量完成报送统一LIMS协议规范"""
try:
# 验证基本字段
required_fields = ['token', 'request_time', 'data']
if missing_fields := [field for field in required_fields if field not in request_data]:
return HttpResponse(
success=False,
message=f"缺少必要字段: {', '.join(missing_fields)}"
)
# 验证data字段内容
data = request_data['data']
data_required_fields = ['orderCode', 'orderName', 'sampleId', 'startTime', 'endTime', 'Status']
if data_missing_fields := [field for field in data_required_fields if field not in data]:
return HttpResponse(
success=False,
message=f"data字段缺少必要内容: {', '.join(data_missing_fields)}"
)
# 创建统一请求对象
report_request = WorkstationReportRequest(
token=request_data['token'],
request_time=request_data['request_time'],
data=data
)
# 调用工作站处理方法
result = self.workstation.process_sample_finish_report(report_request)
status_names = {
"0": "待生产", "2": "进样", "10": "开始",
"20": "完成", "-2": "异常停止", "-3": "人工停止"
}
status_desc = status_names.get(str(data['Status']), f"状态{data['Status']}")
return HttpResponse(
success=True,
message=f"通量完成报送已处理: {data['sampleId']} ({data['orderCode']}) - {status_desc}",
acknowledgment_id=f"SAMPLE_{int(time.time() * 1000)}_{data['sampleId']}",
data=result
)
except Exception as e:
logger.error(f"处理通量完成报送失败: {e}")
return HttpResponse(
success=False,
message=f"通量完成报送处理失败: {str(e)}"
)
def _handle_order_finish_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理任务完成报送统一LIMS协议规范"""
try:
# 验证基本字段
required_fields = ['token', 'request_time', 'data']
if missing_fields := [field for field in required_fields if field not in request_data]:
return HttpResponse(
success=False,
message=f"缺少必要字段: {', '.join(missing_fields)}"
)
# 验证data字段内容
data = request_data['data']
data_required_fields = ['orderCode', 'orderName', 'startTime', 'endTime', 'status']
if data_missing_fields := [field for field in data_required_fields if field not in data]:
return HttpResponse(
success=False,
message=f"data字段缺少必要内容: {', '.join(data_missing_fields)}"
)
# 处理物料使用记录
used_materials = []
if 'usedMaterials' in data:
for material_data in data['usedMaterials']:
material = MaterialUsage(
materialId=material_data.get('materialId', ''),
locationId=material_data.get('locationId', ''),
typeMode=material_data.get('typeMode', ''),
usedQuantity=material_data.get('usedQuantity', 0.0)
)
used_materials.append(material)
# 创建统一请求对象
report_request = WorkstationReportRequest(
token=request_data['token'],
request_time=request_data['request_time'],
data=data
)
# 调用工作站处理方法
result = self.workstation.process_order_finish_report(report_request, used_materials)
status_names = {"30": "完成", "-11": "异常停止", "-12": "人工停止"}
status_desc = status_names.get(str(data['status']), f"状态{data['status']}")
return HttpResponse(
success=True,
message=f"任务完成报送已处理: {data['orderName']} ({data['orderCode']}) - {status_desc}",
acknowledgment_id=f"ORDER_{int(time.time() * 1000)}_{data['orderCode']}",
data=result
)
except Exception as e:
logger.error(f"处理任务完成报送失败: {e}")
return HttpResponse(
success=False,
message=f"任务完成报送处理失败: {str(e)}"
)
def _handle_batch_update_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理批量报送"""
try:
step_updates = request_data.get('step_updates', [])
sample_updates = request_data.get('sample_updates', [])
order_updates = request_data.get('order_updates', [])
results = {
'step_results': [],
'sample_results': [],
'order_results': [],
'total_processed': 0,
'total_failed': 0
}
# 处理批量步骤更新
for step_data in step_updates:
try:
step_data['token'] = request_data.get('token', step_data.get('token'))
step_data['request_time'] = request_data.get('request_time', step_data.get('request_time'))
result = self._handle_step_finish_report(step_data)
results['step_results'].append(result)
if result.success:
results['total_processed'] += 1
else:
results['total_failed'] += 1
except Exception as e:
results['step_results'].append(HttpResponse(success=False, message=str(e)))
results['total_failed'] += 1
# 处理批量通量更新
for sample_data in sample_updates:
try:
sample_data['token'] = request_data.get('token', sample_data.get('token'))
sample_data['request_time'] = request_data.get('request_time', sample_data.get('request_time'))
result = self._handle_sample_finish_report(sample_data)
results['sample_results'].append(result)
if result.success:
results['total_processed'] += 1
else:
results['total_failed'] += 1
except Exception as e:
results['sample_results'].append(HttpResponse(success=False, message=str(e)))
results['total_failed'] += 1
# 处理批量任务更新
for order_data in order_updates:
try:
order_data['token'] = request_data.get('token', order_data.get('token'))
order_data['request_time'] = request_data.get('request_time', order_data.get('request_time'))
result = self._handle_order_finish_report(order_data)
results['order_results'].append(result)
if result.success:
results['total_processed'] += 1
else:
results['total_failed'] += 1
except Exception as e:
results['order_results'].append(HttpResponse(success=False, message=str(e)))
results['total_failed'] += 1
return HttpResponse(
success=results['total_failed'] == 0,
message=f"批量报送处理完成: {results['total_processed']} 成功, {results['total_failed']} 失败",
acknowledgment_id=f"BATCH_{int(time.time() * 1000)}",
data=results
)
except Exception as e:
logger.error(f"处理批量报送失败: {e}")
return HttpResponse(
success=False,
message=f"批量报送处理失败: {str(e)}"
)
def _handle_material_change_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理物料变更报送"""
try:
# 验证必需字段
required_fields = ['workstation_id', 'timestamp', 'resource_id', 'change_type']
if missing_fields := [field for field in required_fields if field not in request_data]:
return HttpResponse(
success=False,
message=f"缺少必要字段: {', '.join(missing_fields)}"
)
# 调用工作站的处理方法
result = self.workstation.process_material_change_report(request_data)
return HttpResponse(
success=True,
message=f"物料变更报送已处理: {request_data['resource_id']} ({request_data['change_type']})",
acknowledgment_id=f"MATERIAL_{int(time.time() * 1000)}_{request_data['resource_id']}",
data=result
)
except Exception as e:
logger.error(f"处理物料变更报送失败: {e}")
return HttpResponse(
success=False,
message=f"物料变更报送处理失败: {str(e)}"
)
def _handle_error_handling_report(self, request_data: Dict[str, Any]) -> HttpResponse:
"""处理错误处理报送"""
try:
# 验证必需字段
required_fields = ['workstation_id', 'timestamp', 'error_type', 'error_message']
if missing_fields := [field for field in required_fields if field not in request_data]:
return HttpResponse(
success=False,
message=f"缺少必要字段: {', '.join(missing_fields)}"
)
# 调用工作站的处理方法
result = self.workstation.handle_external_error(request_data)
return HttpResponse(
success=True,
message=f"错误处理报送已处理: {request_data['error_type']} - {request_data['error_message']}",
acknowledgment_id=f"ERROR_{int(time.time() * 1000)}_{request_data.get('action_id', 'unknown')}",
data=result
)
except Exception as e:
logger.error(f"处理错误处理报送失败: {e}")
return HttpResponse(
success=False,
message=f"错误处理报送处理失败: {str(e)}"
)
def _handle_status_check(self) -> HttpResponse:
"""处理状态查询"""
try:
return HttpResponse(
success=True,
message="工作站报送服务正常运行",
data={
"workstation_id": self.workstation.device_id,
"service_type": "unified_reporting_service",
"uptime": time.time() - getattr(self.workstation, '_start_time', time.time()),
"reports_received": getattr(self.workstation, '_reports_received_count', 0),
"supported_endpoints": [
"POST /report/step_finish",
"POST /report/sample_finish",
"POST /report/order_finish",
"POST /report/batch_update",
"POST /report/material_change",
"POST /report/error_handling",
"GET /status",
"GET /health"
]
}
)
except Exception as e:
logger.error(f"处理状态查询失败: {e}")
return HttpResponse(
success=False,
message=f"状态查询失败: {str(e)}"
)
def _send_response(self, response: HttpResponse):
"""发送响应"""
try:
# 设置响应状态码
status_code = 200 if response.success else 400
self.send_response(status_code)
# 设置响应头
self.send_header('Content-Type', 'application/json; charset=utf-8')
self.send_header('Access-Control-Allow-Origin', '*')
self.send_header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
self.send_header('Access-Control-Allow-Headers', 'Content-Type')
self.end_headers()
# 发送响应体
response_json = json.dumps(asdict(response), ensure_ascii=False, indent=2)
self.wfile.write(response_json.encode('utf-8'))
except Exception as e:
logger.error(f"发送响应失败: {e}")
def log_message(self, format, *args):
"""重写日志方法"""
logger.debug(f"HTTP请求: {format % args}")
class WorkstationHTTPService:
"""工作站HTTP服务"""
def __init__(self, workstation_instance, host: str = "127.0.0.1", port: int = 8080):
self.workstation = workstation_instance
self.host = host
self.port = port
self.server = None
self.server_thread = None
self.running = False
# 初始化统计信息
self.workstation._start_time = time.time()
self.workstation._reports_received_count = 0
def start(self):
"""启动HTTP服务"""
try:
# 创建处理器工厂函数
def handler_factory(*args, **kwargs):
return WorkstationHTTPHandler(self.workstation, *args, **kwargs)
# 创建HTTP服务器
self.server = HTTPServer((self.host, self.port), handler_factory)
# 在单独线程中运行服务器
self.server_thread = threading.Thread(
target=self._run_server,
daemon=True,
name=f"WorkstationHTTP-{self.workstation.device_id}"
)
self.running = True
self.server_thread.start()
logger.info(f"工作站HTTP报送服务已启动: http://{self.host}:{self.port}")
logger.info("统一的报送端点 (基于LIMS协议规范):")
logger.info(" - POST /report/step_finish # 步骤完成报送")
logger.info(" - POST /report/sample_finish # 通量完成报送")
logger.info(" - POST /report/order_finish # 任务完成报送")
logger.info(" - POST /report/batch_update # 批量更新报送")
logger.info("扩展报送端点:")
logger.info(" - POST /report/material_change # 物料变更报送")
logger.info(" - POST /report/error_handling # 错误处理报送")
logger.info("兼容端点:")
logger.info(" - POST /LIMS/step_finish # 兼容LIMS步骤完成")
logger.info(" - POST /LIMS/preintake_finish # 兼容LIMS通量完成")
logger.info(" - POST /LIMS/order_finish # 兼容LIMS任务完成")
logger.info("服务端点:")
logger.info(" - GET /status # 服务状态查询")
logger.info(" - GET /health # 健康检查")
except Exception as e:
logger.error(f"启动HTTP服务失败: {e}")
raise
def stop(self):
"""停止HTTP服务"""
try:
if self.running and self.server:
self.running = False
self.server.shutdown()
self.server.server_close()
if self.server_thread and self.server_thread.is_alive():
self.server_thread.join(timeout=5.0)
logger.info("工作站HTTP报送服务已停止")
except Exception as e:
logger.error(f"停止HTTP服务失败: {e}")
def _run_server(self):
"""运行HTTP服务器"""
try:
while self.running:
self.server.handle_request()
except Exception as e:
if self.running: # 只在非正常停止时记录错误
logger.error(f"HTTP服务运行错误: {e}")
@property
def is_running(self) -> bool:
"""检查服务是否正在运行"""
return self.running and self.server_thread and self.server_thread.is_alive()
@property
def service_url(self) -> str:
"""获取服务URL"""
return f"http://{self.host}:{self.port}"
# 导出主要类 - 保持向后兼容
@dataclass
class MaterialChangeReport:
"""已废弃物料变更报送请使用统一的WorkstationReportRequest"""
pass
@dataclass
class TaskExecutionReport:
"""已废弃任务执行报送请使用统一的WorkstationReportRequest"""
pass
# 导出列表
__all__ = [
'WorkstationReportRequest',
'MaterialUsage',
'HttpResponse',
'WorkstationHTTPService',
# 向后兼容
'MaterialChangeReport',
'TaskExecutionReport'
]

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@@ -0,0 +1,583 @@
"""
工作站物料管理基类
Workstation Material Management Base Class
基于PyLabRobot的物料管理系统
"""
from typing import Dict, Any, List, Optional, Union, Type
from abc import ABC, abstractmethod
import json
from pylabrobot.resources import (
Resource as PLRResource,
Container,
Deck,
Coordinate as PLRCoordinate,
)
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker
from unilabos.utils.log import logger
from unilabos.resources.graphio import resource_plr_to_ulab, resource_ulab_to_plr
class MaterialManagementBase(ABC):
"""物料管理基类
定义工作站物料管理的标准接口:
1. 物料初始化 - 根据配置创建物料资源
2. 物料追踪 - 实时跟踪物料位置和状态
3. 物料查找 - 按类型、位置、状态查找物料
4. 物料转换 - PyLabRobot与UniLab资源格式转换
"""
def __init__(
self,
device_id: str,
deck_config: Dict[str, Any],
resource_tracker: DeviceNodeResourceTracker,
children_config: Dict[str, Dict[str, Any]] = None
):
self.device_id = device_id
self.deck_config = deck_config
self.resource_tracker = resource_tracker
self.children_config = children_config or {}
# 创建主台面
self.plr_deck = self._create_deck()
# 扩展ResourceTracker
self._extend_resource_tracker()
# 注册deck到resource tracker
self.resource_tracker.add_resource(self.plr_deck)
# 初始化子资源
self.plr_resources = {}
self._initialize_materials()
def _create_deck(self) -> Deck:
"""创建主台面"""
return Deck(
name=f"{self.device_id}_deck",
size_x=self.deck_config.get("size_x", 1000.0),
size_y=self.deck_config.get("size_y", 1000.0),
size_z=self.deck_config.get("size_z", 500.0),
origin=PLRCoordinate(0, 0, 0)
)
def _extend_resource_tracker(self):
"""扩展ResourceTracker以支持PyLabRobot特定功能"""
def find_by_type(resource_type):
"""按类型查找资源"""
return self._find_resources_by_type_recursive(self.plr_deck, resource_type)
def find_by_category(category: str):
"""按类别查找资源"""
found = []
for resource in self._get_all_resources():
if hasattr(resource, 'category') and resource.category == category:
found.append(resource)
return found
def find_by_name_pattern(pattern: str):
"""按名称模式查找资源"""
import re
found = []
for resource in self._get_all_resources():
if re.search(pattern, resource.name):
found.append(resource)
return found
# 动态添加方法到resource_tracker
self.resource_tracker.find_by_type = find_by_type
self.resource_tracker.find_by_category = find_by_category
self.resource_tracker.find_by_name_pattern = find_by_name_pattern
def _find_resources_by_type_recursive(self, resource, target_type):
"""递归查找指定类型的资源"""
found = []
if isinstance(resource, target_type):
found.append(resource)
# 递归查找子资源
children = getattr(resource, "children", [])
for child in children:
found.extend(self._find_resources_by_type_recursive(child, target_type))
return found
def _get_all_resources(self) -> List[PLRResource]:
"""获取所有资源"""
all_resources = []
def collect_resources(resource):
all_resources.append(resource)
children = getattr(resource, "children", [])
for child in children:
collect_resources(child)
collect_resources(self.plr_deck)
return all_resources
def _initialize_materials(self):
"""初始化物料"""
try:
# 确定创建顺序,确保父资源先于子资源创建
creation_order = self._determine_creation_order()
# 按顺序创建资源
for resource_id in creation_order:
config = self.children_config[resource_id]
self._create_plr_resource(resource_id, config)
logger.info(f"物料管理系统初始化完成,共创建 {len(self.plr_resources)} 个资源")
except Exception as e:
logger.error(f"物料初始化失败: {e}")
def _determine_creation_order(self) -> List[str]:
"""确定资源创建顺序"""
order = []
visited = set()
def visit(resource_id: str):
if resource_id in visited:
return
visited.add(resource_id)
config = self.children_config.get(resource_id, {})
parent_id = config.get("parent")
# 如果有父资源,先访问父资源
if parent_id and parent_id in self.children_config:
visit(parent_id)
order.append(resource_id)
for resource_id in self.children_config:
visit(resource_id)
return order
def _create_plr_resource(self, resource_id: str, config: Dict[str, Any]):
"""创建PyLabRobot资源"""
try:
resource_type = config.get("type", "unknown")
data = config.get("data", {})
location_config = config.get("location", {})
# 创建位置坐标
location = PLRCoordinate(
x=location_config.get("x", 0.0),
y=location_config.get("y", 0.0),
z=location_config.get("z", 0.0)
)
# 根据类型创建资源
resource = self._create_resource_by_type(resource_id, resource_type, config, data, location)
if resource:
# 设置父子关系
parent_id = config.get("parent")
if parent_id and parent_id in self.plr_resources:
parent_resource = self.plr_resources[parent_id]
parent_resource.assign_child_resource(resource, location)
else:
# 直接放在deck上
self.plr_deck.assign_child_resource(resource, location)
# 保存资源引用
self.plr_resources[resource_id] = resource
# 注册到resource tracker
self.resource_tracker.add_resource(resource)
logger.debug(f"创建资源成功: {resource_id} ({resource_type})")
except Exception as e:
logger.error(f"创建资源失败 {resource_id}: {e}")
@abstractmethod
def _create_resource_by_type(
self,
resource_id: str,
resource_type: str,
config: Dict[str, Any],
data: Dict[str, Any],
location: PLRCoordinate
) -> Optional[PLRResource]:
"""根据类型创建资源 - 子类必须实现"""
pass
# ============ 物料查找接口 ============
def find_materials_by_type(self, material_type: str) -> List[PLRResource]:
"""按材料类型查找物料"""
return self.resource_tracker.find_by_category(material_type)
def find_material_by_id(self, resource_id: str) -> Optional[PLRResource]:
"""按ID查找物料"""
return self.plr_resources.get(resource_id)
def find_available_positions(self, position_type: str) -> List[PLRResource]:
"""查找可用位置"""
positions = self.resource_tracker.find_by_category(position_type)
available = []
for pos in positions:
if hasattr(pos, 'is_available') and pos.is_available():
available.append(pos)
elif hasattr(pos, 'children') and len(pos.children) == 0:
available.append(pos)
return available
def get_material_inventory(self) -> Dict[str, int]:
"""获取物料库存统计"""
inventory = {}
for resource in self._get_all_resources():
if hasattr(resource, 'category'):
category = resource.category
inventory[category] = inventory.get(category, 0) + 1
return inventory
# ============ 物料状态更新接口 ============
def update_material_location(self, material_id: str, new_location: PLRCoordinate) -> bool:
"""更新物料位置"""
try:
material = self.find_material_by_id(material_id)
if material:
material.location = new_location
return True
return False
except Exception as e:
logger.error(f"更新物料位置失败: {e}")
return False
def move_material(self, material_id: str, target_container_id: str) -> bool:
"""移动物料到目标容器"""
try:
material = self.find_material_by_id(material_id)
target = self.find_material_by_id(target_container_id)
if material and target:
# 从原位置移除
if material.parent:
material.parent.unassign_child_resource(material)
# 添加到新位置
target.assign_child_resource(material)
return True
return False
except Exception as e:
logger.error(f"移动物料失败: {e}")
return False
# ============ 资源转换接口 ============
def convert_to_unilab_format(self, plr_resource: PLRResource) -> Dict[str, Any]:
"""将PyLabRobot资源转换为UniLab格式"""
return resource_plr_to_ulab(plr_resource)
def convert_from_unilab_format(self, unilab_resource: Dict[str, Any]) -> PLRResource:
"""将UniLab格式转换为PyLabRobot资源"""
return resource_ulab_to_plr(unilab_resource)
def get_deck_state(self) -> Dict[str, Any]:
"""获取Deck状态"""
try:
return {
"deck_info": {
"name": self.plr_deck.name,
"size": {
"x": self.plr_deck.size_x,
"y": self.plr_deck.size_y,
"z": self.plr_deck.size_z
},
"children_count": len(self.plr_deck.children)
},
"resources": {
resource_id: self.convert_to_unilab_format(resource)
for resource_id, resource in self.plr_resources.items()
},
"inventory": self.get_material_inventory()
}
except Exception as e:
logger.error(f"获取Deck状态失败: {e}")
return {"error": str(e)}
# ============ 数据持久化接口 ============
def save_state_to_file(self, file_path: str) -> bool:
"""保存状态到文件"""
try:
state = self.get_deck_state()
with open(file_path, 'w', encoding='utf-8') as f:
json.dump(state, f, indent=2, ensure_ascii=False)
logger.info(f"状态已保存到: {file_path}")
return True
except Exception as e:
logger.error(f"保存状态失败: {e}")
return False
def load_state_from_file(self, file_path: str) -> bool:
"""从文件加载状态"""
try:
with open(file_path, 'r', encoding='utf-8') as f:
state = json.load(f)
# 重新创建资源
self._recreate_resources_from_state(state)
logger.info(f"状态已从文件加载: {file_path}")
return True
except Exception as e:
logger.error(f"加载状态失败: {e}")
return False
def _recreate_resources_from_state(self, state: Dict[str, Any]):
"""从状态重新创建资源"""
# 清除现有资源
self.plr_resources.clear()
self.plr_deck.children.clear()
# 从状态重新创建
resources_data = state.get("resources", {})
for resource_id, resource_data in resources_data.items():
try:
plr_resource = self.convert_from_unilab_format(resource_data)
self.plr_resources[resource_id] = plr_resource
self.plr_deck.assign_child_resource(plr_resource)
except Exception as e:
logger.error(f"重新创建资源失败 {resource_id}: {e}")
class CoinCellMaterialManagement(MaterialManagementBase):
"""纽扣电池物料管理类
从 button_battery_station 抽取的物料管理功能
"""
def _create_resource_by_type(
self,
resource_id: str,
resource_type: str,
config: Dict[str, Any],
data: Dict[str, Any],
location: PLRCoordinate
) -> Optional[PLRResource]:
"""根据类型创建纽扣电池相关资源"""
# 导入纽扣电池资源类
from unilabos.device_comms.button_battery_station import (
MaterialPlate, PlateSlot, ClipMagazine, BatteryPressSlot,
TipBox64, WasteTipBox, BottleRack, Battery, ElectrodeSheet
)
try:
if resource_type == "material_plate":
return self._create_material_plate(resource_id, config, data, location)
elif resource_type == "plate_slot":
return self._create_plate_slot(resource_id, config, data, location)
elif resource_type == "clip_magazine":
return self._create_clip_magazine(resource_id, config, data, location)
elif resource_type == "battery_press_slot":
return self._create_battery_press_slot(resource_id, config, data, location)
elif resource_type == "tip_box":
return self._create_tip_box(resource_id, config, data, location)
elif resource_type == "waste_tip_box":
return self._create_waste_tip_box(resource_id, config, data, location)
elif resource_type == "bottle_rack":
return self._create_bottle_rack(resource_id, config, data, location)
elif resource_type == "battery":
return self._create_battery(resource_id, config, data, location)
else:
logger.warning(f"未知的资源类型: {resource_type}")
return None
except Exception as e:
logger.error(f"创建资源失败 {resource_id} ({resource_type}): {e}")
return None
def _create_material_plate(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建料板"""
from unilabos.device_comms.button_battery_station import MaterialPlate, ElectrodeSheet
plate = MaterialPlate(
name=resource_id,
size_x=config.get("size_x", 80.0),
size_y=config.get("size_y", 80.0),
size_z=config.get("size_z", 10.0),
hole_diameter=config.get("hole_diameter", 15.0),
hole_depth=config.get("hole_depth", 8.0),
hole_spacing_x=config.get("hole_spacing_x", 20.0),
hole_spacing_y=config.get("hole_spacing_y", 20.0),
number=data.get("number", "")
)
plate.location = location
# 如果有预填充的极片数据,创建极片
electrode_sheets = data.get("electrode_sheets", [])
for i, sheet_data in enumerate(electrode_sheets):
if i < len(plate.children): # 确保不超过洞位数量
hole = plate.children[i]
sheet = ElectrodeSheet(
name=f"{resource_id}_sheet_{i}",
diameter=sheet_data.get("diameter", 14.0),
thickness=sheet_data.get("thickness", 0.1),
mass=sheet_data.get("mass", 0.01),
material_type=sheet_data.get("material_type", "cathode"),
info=sheet_data.get("info", "")
)
hole.place_electrode_sheet(sheet)
return plate
def _create_plate_slot(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建板槽位"""
from unilabos.device_comms.button_battery_station import PlateSlot
slot = PlateSlot(
name=resource_id,
max_plates=config.get("max_plates", 8)
)
slot.location = location
return slot
def _create_clip_magazine(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建子弹夹"""
from unilabos.device_comms.button_battery_station import ClipMagazine
magazine = ClipMagazine(
name=resource_id,
size_x=config.get("size_x", 150.0),
size_y=config.get("size_y", 100.0),
size_z=config.get("size_z", 50.0),
hole_diameter=config.get("hole_diameter", 15.0),
hole_depth=config.get("hole_depth", 40.0),
hole_spacing=config.get("hole_spacing", 25.0),
max_sheets_per_hole=config.get("max_sheets_per_hole", 100)
)
magazine.location = location
return magazine
def _create_battery_press_slot(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建电池压制槽"""
from unilabos.device_comms.button_battery_station import BatteryPressSlot
slot = BatteryPressSlot(
name=resource_id,
diameter=config.get("diameter", 20.0),
depth=config.get("depth", 15.0)
)
slot.location = location
return slot
def _create_tip_box(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建枪头盒"""
from unilabos.device_comms.button_battery_station import TipBox64
tip_box = TipBox64(
name=resource_id,
size_x=config.get("size_x", 127.8),
size_y=config.get("size_y", 85.5),
size_z=config.get("size_z", 60.0),
with_tips=data.get("with_tips", True)
)
tip_box.location = location
return tip_box
def _create_waste_tip_box(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建废枪头盒"""
from unilabos.device_comms.button_battery_station import WasteTipBox
waste_box = WasteTipBox(
name=resource_id,
size_x=config.get("size_x", 127.8),
size_y=config.get("size_y", 85.5),
size_z=config.get("size_z", 60.0),
max_tips=config.get("max_tips", 100)
)
waste_box.location = location
return waste_box
def _create_bottle_rack(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建瓶架"""
from unilabos.device_comms.button_battery_station import BottleRack
rack = BottleRack(
name=resource_id,
size_x=config.get("size_x", 210.0),
size_y=config.get("size_y", 140.0),
size_z=config.get("size_z", 100.0),
bottle_diameter=config.get("bottle_diameter", 30.0),
bottle_height=config.get("bottle_height", 100.0),
position_spacing=config.get("position_spacing", 35.0)
)
rack.location = location
return rack
def _create_battery(self, resource_id: str, config: Dict[str, Any], data: Dict[str, Any], location: PLRCoordinate):
"""创建电池"""
from unilabos.device_comms.button_battery_station import Battery
battery = Battery(
name=resource_id,
diameter=config.get("diameter", 20.0),
height=config.get("height", 3.2),
max_volume=config.get("max_volume", 100.0),
barcode=data.get("barcode", "")
)
battery.location = location
return battery
# ============ 纽扣电池特定查找方法 ============
def find_material_plates(self):
"""查找所有料板"""
from unilabos.device_comms.button_battery_station import MaterialPlate
return self.resource_tracker.find_by_type(MaterialPlate)
def find_batteries(self):
"""查找所有电池"""
from unilabos.device_comms.button_battery_station import Battery
return self.resource_tracker.find_by_type(Battery)
def find_electrode_sheets(self):
"""查找所有极片"""
found = []
plates = self.find_material_plates()
for plate in plates:
for hole in plate.children:
if hasattr(hole, 'has_electrode_sheet') and hole.has_electrode_sheet():
found.append(hole._electrode_sheet)
return found
def find_plate_slots(self):
"""查找所有板槽位"""
from unilabos.device_comms.button_battery_station import PlateSlot
return self.resource_tracker.find_by_type(PlateSlot)
def find_clip_magazines(self):
"""查找所有子弹夹"""
from unilabos.device_comms.button_battery_station import ClipMagazine
return self.resource_tracker.find_by_type(ClipMagazine)
def find_press_slots(self):
"""查找所有压制槽"""
from unilabos.device_comms.button_battery_station import BatteryPressSlot
return self.resource_tracker.find_by_type(BatteryPressSlot)

View File

@@ -1,6 +1,6 @@
serial:
category:
- serial
- communication_devices
class:
action_value_mappings:
auto-handle_serial_request:
@@ -9,7 +9,7 @@ serial:
goal_default:
request: null
response: null
handles: []
handles: {}
result: {}
schema:
description: handle_serial_request的参数schema
@@ -35,7 +35,7 @@ serial:
feedback: {}
goal: {}
goal_default: {}
handles: []
handles: {}
result: {}
schema:
description: read_data的参数schema
@@ -56,7 +56,7 @@ serial:
goal: {}
goal_default:
command: null
handles: []
handles: {}
result: {}
schema:
description: send_command的参数schema

View File

@@ -1,4 +1,4 @@
camera:
camera.USB:
category:
- camera
class:
@@ -7,7 +7,7 @@ camera:
feedback: {}
goal: {}
goal_default: {}
handles: []
handles: {}
result: {}
schema:
description: 用于安全地关闭摄像头设备释放摄像头资源停止视频采集和发布服务。调用此函数将清理OpenCV摄像头连接并销毁ROS2节点。
@@ -27,7 +27,7 @@ camera:
feedback: {}
goal: {}
goal_default: {}
handles: []
handles: {}
result: {}
schema:
description: 定时器回调函数的参数schema。此函数负责定期采集摄像头视频帧将OpenCV格式的图像转换为ROS Image消息格式并发布到指定的视频话题。默认以10Hz频率执行确保视频流的连续性和实时性。

View File

@@ -0,0 +1,404 @@
hplc.agilent:
category:
- characterization_chromatic
class:
action_value_mappings:
auto-check_status:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: 检查安捷伦HPLC设备状态的函数。用于监控设备的运行状态、连接状态、错误信息等关键指标。该函数定期查询设备状态确保系统稳定运行及时发现和报告设备异常。适用于自动化流程中的设备监控、故障诊断、系统维护等场景。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: check_status参数
type: object
type: UniLabJsonCommand
auto-extract_data_from_txt:
feedback: {}
goal: {}
goal_default:
file_path: null
handles: {}
result: {}
schema:
description: 从文本文件中提取分析数据的函数。用于解析安捷伦HPLC生成的结果文件提取峰面积、保留时间、浓度等关键分析数据。支持多种文件格式的自动识别和数据结构化处理为后续数据分析和报告生成提供标准化的数据格式。适用于批量数据处理、结果验证、质量控制等分析工作流程。
properties:
feedback: {}
goal:
properties:
file_path:
type: string
required:
- file_path
type: object
result: {}
required:
- goal
title: extract_data_from_txt参数
type: object
type: UniLabJsonCommand
auto-start_sequence:
feedback: {}
goal: {}
goal_default:
params: null
resource: null
wf_name: null
handles: {}
result: {}
schema:
description: 启动安捷伦HPLC分析序列的函数。用于执行预定义的分析方法序列包括样品进样、色谱分离、检测等完整的分析流程。支持参数配置、资源分配、工作流程管理等功能实现全自动的样品分析。适用于批量样品处理、标准化分析、质量检测等需要连续自动分析的应用场景。
properties:
feedback: {}
goal:
properties:
params:
type: string
resource:
type: object
wf_name:
type: string
required:
- wf_name
type: object
result: {}
required:
- goal
title: start_sequence参数
type: object
type: UniLabJsonCommand
auto-try_close_sub_device:
feedback: {}
goal: {}
goal_default:
device_name: null
handles: {}
result: {}
schema:
description: 尝试关闭HPLC子设备的函数。用于安全地关闭泵、检测器、进样器等各个子模块确保设备正常断开连接并保护硬件安全。该函数提供错误处理和状态确认机制避免强制关闭可能造成的设备损坏。适用于设备维护、系统重启、紧急停机等需要安全关闭设备的场景。
properties:
feedback: {}
goal:
properties:
device_name:
type: string
required: []
type: object
result: {}
required:
- goal
title: try_close_sub_device参数
type: object
type: UniLabJsonCommand
auto-try_open_sub_device:
feedback: {}
goal: {}
goal_default:
device_name: null
handles: {}
result: {}
schema:
description: 尝试打开HPLC子设备的函数。用于初始化和连接泵、检测器、进样器等各个子模块建立设备通信并进行自检。该函数提供连接验证和错误恢复机制确保子设备正常启动并准备就绪。适用于设备初始化、系统启动、设备重连等需要建立设备连接的场景。
properties:
feedback: {}
goal:
properties:
device_name:
type: string
required: []
type: object
result: {}
required:
- goal
title: try_open_sub_device参数
type: object
type: UniLabJsonCommand
execute_command_from_outer:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: {}
result:
success: success
schema:
description: ''
properties:
feedback:
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: SendCmd_Result
type: object
required:
- goal
title: SendCmd
type: object
type: SendCmd
module: unilabos.devices.hplc.AgilentHPLC:HPLCDriver
status_types:
could_run: bool
data_file: list
device_status: str
driver_init_ok: bool
finish_status: str
is_running: bool
status_text: str
success: bool
type: python
config_info: []
description: 安捷伦高效液相色谱HPLC分析设备用于复杂化合物的分离、检测和定量分析。该设备通过UI自动化技术控制安捷伦ChemStation软件实现全自动的样品分析流程。具备序列启动、设备状态监控、数据文件提取、结果处理等功能。支持多样品批量处理和实时状态反馈适用于药物分析、环境检测、食品安全、化学研究等需要高精度色谱分析的实验室应用。
handles: []
icon: ''
init_param_schema:
config:
properties:
driver_debug:
default: false
type: string
required: []
type: object
data:
properties:
could_run:
type: boolean
data_file:
type: array
device_status:
type: string
driver_init_ok:
type: boolean
finish_status:
type: string
is_running:
type: boolean
status_text:
type: string
success:
type: boolean
required:
- status_text
- device_status
- could_run
- driver_init_ok
- is_running
- success
- finish_status
- data_file
type: object
version: 1.0.0
hplc.agilent-zhida:
category:
- characterization_chromatic
class:
action_value_mappings:
abort:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: ''
properties:
feedback:
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: HPLC设备连接关闭函数。安全地断开与智达HPLC设备的TCP socket连接释放网络资源。该函数确保连接的正确关闭避免网络资源泄露。通常在设备使用完毕或系统关闭时调用。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-connect:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: HPLC设备连接建立函数。与智达HPLC设备建立TCP socket通信连接配置通信超时参数。该函数是设备使用前的必要步骤建立成功后可进行状态查询、方法获取、任务启动等操作。连接失败时会抛出异常。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: connect参数
type: object
type: UniLabJsonCommand
get_methods:
feedback: {}
goal: {}
goal_default: {}
handles: {}
result: {}
schema:
description: ''
properties:
feedback:
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
start:
feedback: {}
goal:
string: string
goal_default:
string: ''
handles: {}
result: {}
schema:
description: ''
properties:
feedback:
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: StrSingleInput_Result
type: object
required:
- goal
title: StrSingleInput
type: object
type: StrSingleInput
module: unilabos.devices.zhida_hplc.zhida:ZhidaClient
status_types:
methods: dict
status: dict
type: python
config_info: []
description: 智达高效液相色谱HPLC分析设备用于实验室样品的分离、检测和定量分析。该设备通过TCP socket与HPLC控制系统通信支持远程控制和状态监控。具备自动进样、梯度洗脱、多检测器数据采集等功能可执行复杂的色谱分析方法。适用于化学分析、药物检测、环境监测、生物样品分析等需要高精度分离分析的实验室应用场景。
handles: []
icon: ''
init_param_schema:
config:
properties:
host:
default: 192.168.1.47
type: string
port:
default: 5792
type: string
timeout:
default: 10.0
type: string
required: []
type: object
data:
properties:
methods:
type: object
status:
type: object
required:
- status
- methods
type: object
version: 1.0.0

View File

@@ -1,225 +1,4 @@
hplc.agilent:
category:
- characterization_optic
class:
action_value_mappings:
auto-check_status:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: 检查安捷伦HPLC设备状态的函数。用于监控设备的运行状态、连接状态、错误信息等关键指标。该函数定期查询设备状态确保系统稳定运行及时发现和报告设备异常。适用于自动化流程中的设备监控、故障诊断、系统维护等场景。
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: check_status参数
type: object
type: UniLabJsonCommand
auto-extract_data_from_txt:
feedback: {}
goal: {}
goal_default:
file_path: null
handles: []
result: {}
schema:
description: 从文本文件中提取分析数据的函数。用于解析安捷伦HPLC生成的结果文件提取峰面积、保留时间、浓度等关键分析数据。支持多种文件格式的自动识别和数据结构化处理为后续数据分析和报告生成提供标准化的数据格式。适用于批量数据处理、结果验证、质量控制等分析工作流程。
properties:
feedback: {}
goal:
properties:
file_path:
type: string
required:
- file_path
type: object
result: {}
required:
- goal
title: extract_data_from_txt参数
type: object
type: UniLabJsonCommand
auto-start_sequence:
feedback: {}
goal: {}
goal_default:
params: null
resource: null
wf_name: null
handles: []
result: {}
schema:
description: 启动安捷伦HPLC分析序列的函数。用于执行预定义的分析方法序列包括样品进样、色谱分离、检测等完整的分析流程。支持参数配置、资源分配、工作流程管理等功能实现全自动的样品分析。适用于批量样品处理、标准化分析、质量检测等需要连续自动分析的应用场景。
properties:
feedback: {}
goal:
properties:
params:
type: string
resource:
type: object
wf_name:
type: string
required:
- wf_name
type: object
result: {}
required:
- goal
title: start_sequence参数
type: object
type: UniLabJsonCommand
auto-try_close_sub_device:
feedback: {}
goal: {}
goal_default:
device_name: null
handles: []
result: {}
schema:
description: 尝试关闭HPLC子设备的函数。用于安全地关闭泵、检测器、进样器等各个子模块确保设备正常断开连接并保护硬件安全。该函数提供错误处理和状态确认机制避免强制关闭可能造成的设备损坏。适用于设备维护、系统重启、紧急停机等需要安全关闭设备的场景。
properties:
feedback: {}
goal:
properties:
device_name:
type: string
required: []
type: object
result: {}
required:
- goal
title: try_close_sub_device参数
type: object
type: UniLabJsonCommand
auto-try_open_sub_device:
feedback: {}
goal: {}
goal_default:
device_name: null
handles: []
result: {}
schema:
description: 尝试打开HPLC子设备的函数。用于初始化和连接泵、检测器、进样器等各个子模块建立设备通信并进行自检。该函数提供连接验证和错误恢复机制确保子设备正常启动并准备就绪。适用于设备初始化、系统启动、设备重连等需要建立设备连接的场景。
properties:
feedback: {}
goal:
properties:
device_name:
type: string
required: []
type: object
result: {}
required:
- goal
title: try_open_sub_device参数
type: object
type: UniLabJsonCommand
execute_command_from_outer:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ''
properties:
feedback:
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: SendCmd_Result
type: object
required:
- goal
title: SendCmd
type: object
type: SendCmd
module: unilabos.devices.hplc.AgilentHPLC:HPLCDriver
status_types:
could_run: bool
data_file: list
device_status: str
driver_init_ok: bool
finish_status: str
is_running: bool
status_text: str
success: bool
type: python
config_info: []
description: 安捷伦高效液相色谱HPLC分析设备用于复杂化合物的分离、检测和定量分析。该设备通过UI自动化技术控制安捷伦ChemStation软件实现全自动的样品分析流程。具备序列启动、设备状态监控、数据文件提取、结果处理等功能。支持多样品批量处理和实时状态反馈适用于药物分析、环境检测、食品安全、化学研究等需要高精度色谱分析的实验室应用。
handles: []
icon: ''
init_param_schema:
config:
properties:
driver_debug:
default: false
type: string
required: []
type: object
data:
properties:
could_run:
type: boolean
data_file:
type: array
device_status:
type: string
driver_init_ok:
type: boolean
finish_status:
type: string
is_running:
type: boolean
status_text:
type: string
success:
type: boolean
required:
- status_text
- device_status
- could_run
- driver_init_ok
- is_running
- success
- finish_status
- data_file
type: object
version: 1.0.0
raman_home_made:
raman.home_made:
category:
- characterization_optic
class:
@@ -229,7 +8,7 @@ raman_home_made:
goal: {}
goal_default:
int_time: null
handles: []
handles: {}
result: {}
schema:
description: 设置CCD检测器积分时间的函数。用于配置拉曼光谱仪的信号采集时间控制光谱数据的质量和信噪比。较长的积分时间可获得更高的信号强度和更好的光谱质量但会增加测量时间。该函数允许根据样品特性和测量要求动态调整检测参数优化测量效果。
@@ -253,7 +32,7 @@ raman_home_made:
goal: {}
goal_default:
output_voltage_laser: null
handles: []
handles: {}
result: {}
schema:
description: 设置激光器输出功率的函数。用于控制拉曼光谱仪激光器的功率输出,调节激光强度以适应不同样品的测量需求。适当的激光功率能够获得良好的拉曼信号同时避免样品损伤。该函数支持精确的功率控制,确保测量结果的稳定性和重现性。
@@ -278,7 +57,7 @@ raman_home_made:
goal_default:
int_time: null
laser_power: null
handles: []
handles: {}
result: {}
schema:
description: 执行无背景扣除的拉曼光谱测量函数。用于直接采集样品的拉曼光谱信号,不进行背景校正处理。该函数配置积分时间和激光功率参数,获取原始光谱数据用于后续的数据处理分析。适用于对光谱数据质量要求较高或需要自定义背景处理流程的测量场景。
@@ -308,7 +87,7 @@ raman_home_made:
int_time: null
laser_power: null
sample_name: null
handles: []
handles: {}
result: {}
schema:
description: 执行多次平均的无背景拉曼光谱测量函数。通过多次测量取平均值来提高光谱数据的信噪比和测量精度,减少随机噪声影响。该函数支持自定义平均次数、积分时间、激光功率等参数,并可为样品指定名称便于数据管理。适用于对测量精度要求较高的定量分析和研究应用。
@@ -342,7 +121,7 @@ raman_home_made:
command: command
goal_default:
command: ''
handles: []
handles: {}
result:
success: success
schema:

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