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115 Commits

Author SHA1 Message Date
KCFeng425
23eb1139a9 修补了一些单位处理,bump version to 0.9.11 2025-07-10 18:25:13 +08:00
KCFeng425
7b93332bf5 protocol完整修复版本& bump version to 0.9.10 2025-07-10 16:48:09 +08:00
Junhan Chang
d82ccd5cf1 fix bugs from new actions 2025-07-08 17:25:42 +08:00
KCFeng425
acc9e5ce0d bump version to 0.9.9 2025-07-07 18:44:01 +08:00
KCFeng425
ab2ab7fcc7 添加了固体加样器,丰富了json,修改了add protocol 2025-07-07 18:35:35 +08:00
KCFeng425
5767266563 补充了四个action 2025-07-07 12:33:10 +08:00
KCFeng425
4c6e437eb1 修复了部分的protocol因为XDL更新导致的问题
但是pumptransfer,add,dissolve,separate还没修,后续还需要写virtual固体加料器
2025-07-06 19:21:53 +08:00
Guangxin Zhang
bef44b2293 Update Prcxi 2025-07-05 22:03:49 +08:00
Guangxin Zhang
b78c6c6ba9 Update prcxi.py 2025-07-05 18:02:58 +08:00
Guangxin Zhang
0d512c9e38 Create prcxi.py 2025-07-05 17:16:59 +08:00
Kongchang Feng
c8c755057c Update work_station.yaml (#60)
* Update work_station.yaml

* Checklist里面有XDL跟protocol之间没对齐的问题,工作量有点大找时间写完
2025-07-05 15:13:14 +08:00
Xuwznln
a6ec20e279 转换到ros消息时,要进行基础类型转换 2025-07-05 12:43:27 +08:00
Xuwznln
b69aceaff3 Merge branch 'dev' of https://github.com/dptech-corp/Uni-Lab-OS into dev 2025-07-04 21:23:38 +08:00
Kongchang Feng
21afdb62bc Create 5 new protocols & bump version 0.9.8 (#59)
* 添加了5个缺失的protocol,验证了可以运行

* bump version to 0.9.8

* 修复新增的Action的字段缺失

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
2025-07-04 13:58:27 +08:00
Xuwznln
d7d43af40a 修复任务执行传参 2025-07-04 13:52:23 +08:00
ZiWei
132955617d Add channel_sources config in conda_build_config.yaml (#58) 2025-07-03 23:59:08 +08:00
Xuwznln
e7521972e4 匹配init param schema格式 2025-06-30 12:29:30 +08:00
Xuwznln
f2753fc69a Merge branch 'main' into dev 2025-06-29 19:18:17 +08:00
Xuwznln
09ad905280 修复auto-的Action在protocol node下错误注册 2025-06-29 19:12:32 +08:00
Junhan Chang
7714c71cd2 add camera and dependency (#56) 2025-06-29 17:35:32 +08:00
Junhan Chang
64832718be Fix handle names (#55)
* fix handle names

* improve evacuateAndRefill gas source finding
2025-06-29 17:31:44 +08:00
Xuwznln
68871358c2 成功动态导入的不再需要使用静态导入 2025-06-29 11:52:59 +08:00
Xuwznln
498b3cad6a 支持通过list[int],list[float]进行Int64MultiArray,Float64MultiArray的替换 2025-06-29 11:52:24 +08:00
Xuwznln
157da1759d status types对于嵌套类型返回的对象,暂时处理成字符串,无法直接进行转换 2025-06-29 11:26:35 +08:00
Xuwznln
be0a73eb19 修复静态方法识别get status,注册表支持python类型 2025-06-28 12:18:30 +08:00
Xuwznln
9be6e1069a 修复部分识别error 2025-06-28 10:52:34 +08:00
Xuwznln
817e88cfc4 修复不启用注册表补充就无法启动的bug 2025-06-28 01:32:10 +08:00
Xuwznln
15f3f8518b 支持通过导入方式补全注册表,新增工作流unilabos_device_id字段 2025-06-28 01:19:54 +08:00
Xuwznln
bbc49e9aab 新增注册表补全功能,修复Protocol执行失败 2025-06-27 23:45:05 +08:00
Xuwznln
f9a9e91d56 Merge remote-tracking branch 'origin/main' into dev
# Conflicts:
#	test/experiments/Protocol_Test_Station/clean_vessel_protocol_test_station.json
#	test/experiments/comprehensive_protocol/comprehensive_station.json
#	unilabos/compile/__init__.py
#	unilabos/compile/add_protocol.py
#	unilabos/compile/clean_vessel_protocol.py
#	unilabos/registry/devices/virtual_device.yaml
#	unilabos/registry/resources/organic/container.yaml
2025-06-22 18:32:46 +08:00
Kongchang Feng
96e9c76709 添加了两个protocol的检索功能 (#51)
* 添加了两个protocol的检索liquid type功能

* fix workstation registry

* 修复了没连接的几个仪器的link,添加了container的icon

* 修改了json和注册表,现在大图全部的device都链接上了

* 修复了小图的json图,线全部连上了

* add work_station protocol handles (ports)

* fix workstation action handle

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@dp.tech>
2025-06-22 18:30:09 +08:00
Xuwznln
06b7962ef9 更新workstation注册表 2025-06-22 14:52:40 +08:00
Xuwznln
6faa19a250 Merge branch 'main' into dev 2025-06-22 13:01:37 +08:00
Kongchang Feng
46cec82a51 Device registry port (#49)
* Update README and MQTTClient for installation instructions and code improvements

* feat: 支持local_config启动
add: 增加对crt path的说明,为传入config.py的相对路径
move: web component

* add: registry description

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* feat: node_info_update srv
fix: OTDeck cant create

* close #12
feat: slave node registry

* feat: show machine name
fix: host node registry not uploaded

* feat: add hplc registry

* feat: add hplc registry

* fix: hplc status typo

* fix: devices/

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* fix: device.class possible null

* fix: HPLC additions with online service

* fix: slave mode spin not working

* fix: slave mode spin not working

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* feat: 多ProtocolNode 允许子设备ID相同
feat: 上报发现的ActionClient
feat: Host重启动,通过discover机制要求slaveNode重新注册,实现信息及时上报

* feat: 支持env设置config

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* Device visualization (#14)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: missing hostname in devices_names
fix: upload_file for model file

* fix: missing paho-mqtt package
bump version to 0.9.0

* fix startup
add ResourceCreateFromOuter.action

* fix type hint

* update actions

* update actions

* host node add_resource_from_outer
fix cmake list

* pass device config to device class

* add: bind_parent_ids to resource create action
fix: message convert string

* fix: host node should not be re_discovered

* feat: resource tracker support dict

* feat: add more necessary params

* feat: fix boolean null in registry action data

* feat: add outer resource

* 编写mesh添加action

* feat: append resource

* add action

* feat: vis 2d for plr

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

* Device visualization (#22)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* 编写mesh添加action

* add action

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: multi channel

* fix: aspirate

* fix: aspirate

* fix: aspirate

* fix: aspirate

* 提交

* fix: jobadd

* fix: jobadd

* fix: msg converter

* tijiao

* add resource creat easy action

* identify debug msg

* mq client id

* unify liquid_handler definition

* Update virtual_device.yaml

* 更正了stir和heater的连接方式

* 区分了虚拟仪器中的八通阀和电磁阀,添加了两个阀门的驱动

* 修改了add protocol

* 修复了阀门更新版的bug

* 修复了添加protocol前缀导致的不能启动的bug

* Fix handles

* bump version to 0.9.6

* add resource edge upload

* update container registry and handles

* add virtual_separator virtual_rotavap
fix transfer_pump

* fix container value
add parent_name to edge device id

* 大图的问题都修复好了,添加了gassource和vacuum pump的驱动以及注册表

* default resource upload mode is false

* 添加了icon的文件名在注册表里面

* 修改了json图中link的格式

* fix resource and edge upload

* fix device ports

* Fix edge id

* 移除device的父节点关联

* separate registry sync and resource_add

* 默认不进行注册表报送,通过命令unilabos-register或者增加启动参数

* 完善tip

* protocol node不再嵌套显示

* bump version to 0.9.7  新增一个测试PumpTransferProtocol的teststation,亲测可以运行,将八通阀们和转移泵与pump_protocol适配

* protocol node 执行action不应携带自身device id

* 添加了一套简易双八通阀工作站JSON,亲测能跑

* 修复了很多protocol,亲测能跑

* 添加了run column和filter through的protocol,亲测能跑

* fix mock_reactor

* 修改了大图和小图的json,但是在前端上没看到改变

---------

Co-authored-by: Harvey Que <Q-Query@outlook.com>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>
Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: q434343 <73513873+q434343@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@pku.edu.cn>
2025-06-22 12:59:59 +08:00
Xuwznln
f7db8d17c5 container 添加和更新完成 2025-06-15 17:37:38 +08:00
Xuwznln
a354965f8e Merge branch 'dev' of https://github.com/dptech-corp/Uni-Lab-OS into dev 2025-06-15 12:51:48 +08:00
Xuwznln
934276d2f7 create container 2025-06-15 12:51:37 +08:00
Harvey Que
803809480b hotfix: Add .certs in .gitignore 2025-06-15 09:09:06 +08:00
Xuwznln
5478ba3237 test artifacts 2025-06-13 14:13:41 +08:00
Xuwznln
49f1aa9c28 try build 2025-06-13 14:05:58 +08:00
Xuwznln
d5d516f0ef try build fix 2025-06-13 13:52:45 +08:00
Xuwznln
4471fed4b8 测试自动构建 2025-06-13 13:47:08 +08:00
Xuwznln
30d143e1a5 Merge branch 'dev' of https://github.com/dptech-corp/Uni-Lab-OS into dev 2025-06-13 13:12:46 +08:00
Xuwznln
75ea45f21e include device_mesh when pip install 2025-06-13 00:32:15 +08:00
hh.
66af337d6c hotfix: Add macos_sdk_config (#46)
Co-authored-by: quehh <scienceol@outlook.com>
2025-06-12 22:46:44 +08:00
Xuwznln
ae3c65c1d3 Merge remote-tracking branch 'origin/main' into dev
# Conflicts:
#	README.md
#	README_zh.md
#	recipes/ros-humble-unilabos-msgs/recipe.yaml
#	recipes/unilabos/recipe.yaml
#	setup.py
#	unilabos/compile/pump_protocol.py
#	unilabos/registry/devices/pump_and_valve.yaml
#	unilabos/ros/nodes/presets/protocol_node.py
2025-06-12 21:27:07 +08:00
Xuwznln
11e4f053f1 bump version & protocol fix 2025-06-12 21:21:25 +08:00
Kongchang Feng
96f37b3b0d Add Mock Device for Organic Synthesis\添加有机合成的虚拟仪器和Protocol (#43)
* Add Device MockChiller

Add device MockChiller

* Add Device MockFilter

* Add Device MockPump

* Add Device MockRotavap

* Add Device MockSeparator

* Add Device MockStirrer

* Add Device MockHeater

* Add Device MockVacuum

* Add Device MockSolenoidValve

* Add Device Mock \_init_.py

* 规范模拟设备代码与注册表信息

* 更改Mock大写文件夹名

* 删除大写目录

* Edited Mock device json

* Match mock device with action

* Edit mock device yaml

* Add new action

* Add Virtual Device, Action, YAML, Protocol for Organic Syn

* 单独分类测试的protocol文件夹

* 更名Action

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
2025-06-12 20:58:39 +08:00
Xuwznln
d7d0a27976 Device visualization (#42)
* Update README and MQTTClient for installation instructions and code improvements

* feat: 支持local_config启动
add: 增加对crt path的说明,为传入config.py的相对路径
move: web component

* add: registry description

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* feat: node_info_update srv
fix: OTDeck cant create

* close #12
feat: slave node registry

* feat: show machine name
fix: host node registry not uploaded

* feat: add hplc registry

* feat: add hplc registry

* fix: hplc status typo

* fix: devices/

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* fix: device.class possible null

* fix: HPLC additions with online service

* fix: slave mode spin not working

* fix: slave mode spin not working

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* feat: 多ProtocolNode 允许子设备ID相同
feat: 上报发现的ActionClient
feat: Host重启动,通过discover机制要求slaveNode重新注册,实现信息及时上报

* feat: 支持env设置config

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* Device visualization (#14)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: missing hostname in devices_names
fix: upload_file for model file

* fix: missing paho-mqtt package
bump version to 0.9.0

* fix startup
add ResourceCreateFromOuter.action

* fix type hint

* update actions

* update actions

* host node add_resource_from_outer
fix cmake list

* pass device config to device class

* add: bind_parent_ids to resource create action
fix: message convert string

* fix: host node should not be re_discovered

* feat: resource tracker support dict

* feat: add more necessary params

* feat: fix boolean null in registry action data

* feat: add outer resource

* 编写mesh添加action

* feat: append resource

* add action

* feat: vis 2d for plr

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

* Device visualization (#22)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* 编写mesh添加action

* add action

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: multi channel

* fix: aspirate

* fix: aspirate

* fix: aspirate

* fix: aspirate

* 提交

* fix: jobadd

* fix: jobadd

* fix: msg converter

* tijiao

* add resource creat easy action

* identify debug msg

* mq client id

* 提取lh的joint发布

* unify liquid_handler definition

* 修改物料跟随与物料添加逻辑

修改物料跟随与物料添加逻辑
将joint_publisher类移出lh的backends,但仍需要对lh的backends进行一些改写

* Revert "修改物料跟随与物料添加逻辑"

This reverts commit 498c997ad7.

* Reapply "修改物料跟随与物料添加逻辑"

This reverts commit 3a60d2ae81.

* Revert "Merge remote-tracking branch 'upstream/dev' into device_visualization"

This reverts commit fa727220af, reversing
changes made to 498c997ad7.

* 修改物料放下时的方法,如果选择

修改物料放下时的方法,
如果选择drop_trash,则删除物料显示
如果选择drop,则让其解除连接

* unilab添加moveit启动

1,整合所有moveit节点到一个move_group中,并整合所有的controller依次激活
2,添加pymoveit2的节点,使用json可直接启动
3,修改机械臂规划方式,添加约束,让冗余关节不会进行过多移动

* 修改物体attach时,多次赋值当前时间导致卡顿问题,

* Revert "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 56d45b94f5.

* Reapply "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 07d9db20c3.

* 添加缺少物料:"plate_well_G12",

* add

* fix tip resource data

* liquid states

* change to debug level

* Revert "change to debug level"

This reverts commit 5d9953c3e5.

* Reapply "change to debug level"

This reverts commit 2487bb6ffc.

* fix tip resource data

* add full device

* add moveit yaml

* 修复moveit
增加post_init阶段,给予ros_node反向

* remove necessary node

* fix moveit action client

* remove necessary imports

* Update moveit_interface.py

* fix handler_key uppercase

* json add liquids

* fix setup

* add

* change to "sources" and "targets" for lh

* bump version

* remove parent's parent link

* change arm's name

* change name

* fix ik error

---------

Co-authored-by: Harvey Que <Q-Query@outlook.com>
Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: q434343 <73513873+q434343@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@pku.edu.cn>
2025-06-12 20:58:18 +08:00
Xuwznln
34151f5cb2 补充日志 2025-06-10 22:13:35 +08:00
Xuwznln
369a21b904 调整protocol node以更好支持多种类型的read和write 2025-06-10 21:54:23 +08:00
Xuwznln
90169981c1 增加modbus支持
调整protocol node以更好支持多种类型的read和write
2025-06-10 21:46:49 +08:00
Xuwznln
d297abfd19 bump ver
modify slot type
2025-06-10 03:46:28 +08:00
Xuwznln
9c515a252a create_resource 2025-06-10 02:55:29 +08:00
Xuwznln
ea5e7a5ce2 Merge branch '37-biomek-i5i7' into dev
# Conflicts:
#	README.md
#	README_zh.md
#	recipes/ros-humble-unilabos-msgs/recipe.yaml
#	recipes/unilabos/recipe.yaml
#	setup.py
#	unilabos/devices/liquid_handling/biomek.py
#	unilabos/devices/liquid_handling/biomek_test.py
#	unilabos/registry/devices/liquid_handler.yaml
#	unilabos/registry/registry.py
#	unilabos/ros/msgs/message_converter.py
#	unilabos_msgs/action/LiquidHandlerMoveBiomek.action
#	unilabos_msgs/action/LiquidHandlerTransferBiomek.action
2025-06-10 02:00:43 +08:00
Xuwznln
2e9a0a4677 fix move it 2025-06-10 01:55:39 +08:00
Xuwznln
4c7aa8a89a fix move it 2025-06-10 01:53:58 +08:00
Xuwznln
d8a0c5e715 Device visualization (#41)
* Update README and MQTTClient for installation instructions and code improvements

* feat: 支持local_config启动
add: 增加对crt path的说明,为传入config.py的相对路径
move: web component

* add: registry description

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* feat: node_info_update srv
fix: OTDeck cant create

* close #12
feat: slave node registry

* feat: show machine name
fix: host node registry not uploaded

* feat: add hplc registry

* feat: add hplc registry

* fix: hplc status typo

* fix: devices/

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* fix: device.class possible null

* fix: HPLC additions with online service

* fix: slave mode spin not working

* fix: slave mode spin not working

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* feat: 多ProtocolNode 允许子设备ID相同
feat: 上报发现的ActionClient
feat: Host重启动,通过discover机制要求slaveNode重新注册,实现信息及时上报

* feat: 支持env设置config

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* Device visualization (#14)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: missing hostname in devices_names
fix: upload_file for model file

* fix: missing paho-mqtt package
bump version to 0.9.0

* fix startup
add ResourceCreateFromOuter.action

* fix type hint

* update actions

* update actions

* host node add_resource_from_outer
fix cmake list

* pass device config to device class

* add: bind_parent_ids to resource create action
fix: message convert string

* fix: host node should not be re_discovered

* feat: resource tracker support dict

* feat: add more necessary params

* feat: fix boolean null in registry action data

* feat: add outer resource

* 编写mesh添加action

* feat: append resource

* add action

* feat: vis 2d for plr

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

* Device visualization (#22)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* 编写mesh添加action

* add action

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: multi channel

* fix: aspirate

* fix: aspirate

* fix: aspirate

* fix: aspirate

* 提交

* fix: jobadd

* fix: jobadd

* fix: msg converter

* tijiao

* add resource creat easy action

* identify debug msg

* mq client id

* 提取lh的joint发布

* unify liquid_handler definition

* 修改物料跟随与物料添加逻辑

修改物料跟随与物料添加逻辑
将joint_publisher类移出lh的backends,但仍需要对lh的backends进行一些改写

* Revert "修改物料跟随与物料添加逻辑"

This reverts commit 498c997ad7.

* Reapply "修改物料跟随与物料添加逻辑"

This reverts commit 3a60d2ae81.

* Revert "Merge remote-tracking branch 'upstream/dev' into device_visualization"

This reverts commit fa727220af, reversing
changes made to 498c997ad7.

* 修改物料放下时的方法,如果选择

修改物料放下时的方法,
如果选择drop_trash,则删除物料显示
如果选择drop,则让其解除连接

* add biomek.py demo implementation

* 更新LiquidHandlerBiomek类,添加资源创建功能,优化协议创建方法,修复部分代码格式问题,更新YAML配置以支持新功能。

* Test

* fix biomek success type

* Convert LH action to biomek.

* Update biomek.py

* 注册表上报handle和schema (param input)

* 修复biomek缺少的字段

* delete 's'

* Remove warnings

* Update biomek.py

* Biomek test

* Update biomek.py

* 新增transfer_biomek的msg

* New transfer_biomek

* Updated transfer_biomek

* 更新transfer_biomek的msg

* 更新transfer_biomek的msg

* 支持Biomek创建

* new action

* fix key name typo

* New parameter for biomek to run.

* Refine

* Update

* new actions

* new actions

* 1

* registry

* fix biomek startup
add action handles

* fix handles not as default entry

* unilab添加moveit启动

1,整合所有moveit节点到一个move_group中,并整合所有的controller依次激活
2,添加pymoveit2的节点,使用json可直接启动
3,修改机械臂规划方式,添加约束,让冗余关节不会进行过多移动

* biomek_test.py

biomek_test.py是最新的版本,运行它会生成complete_biomek_protocol.json

* Update biomek.py

* biomek_test.py

* fix liquid_handler.biomek handles

* 修改物体attach时,多次赋值当前时间导致卡顿问题,

* Revert "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 56d45b94f5.

* Reapply "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 07d9db20c3.

* 添加缺少物料:"plate_well_G12",

* host node新增resource add时间统计
create_resource新增handle
bump version to 0.9.2

* 修正物料上传时间
改用biomek_test
增加ResultInfoEncoder
支持返回结果上传

* 正确发送return_info结果

* 同步执行状态信息

* 取消raiseValueError提示

* Update biomek_test.py

* 0608 DONE

* 同步了Biomek.py 现在应可用

* biomek switch back to non-test

* temp disable initialize resource

* add

* fix tip resource data

* liquid states

* change to debug level

* Revert "change to debug level"

This reverts commit 5d9953c3e5.

* Reapply "change to debug level"

This reverts commit 2487bb6ffc.

* fix tip resource data

* add full device

* add moveit yaml

* 修复moveit
增加post_init阶段,给予ros_node反向

* remove necessary node

* fix moveit action client

* remove necessary imports

* Update moveit_interface.py

* fix handler_key uppercase

* json add liquids

* fix setup

* add

* change to "sources" and "targets" for lh

* bump version

* remove parent's parent link

* change arm's name

* change name

---------

Co-authored-by: Harvey Que <Q-Query@outlook.com>
Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: q434343 <73513873+q434343@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@pku.edu.cn>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: qxw138 <qxw@stu.pku.edu.cn>
2025-06-10 01:28:09 +08:00
q434343
133ffaac17 Device visualization (#39)
* Update README and MQTTClient for installation instructions and code improvements

* feat: 支持local_config启动
add: 增加对crt path的说明,为传入config.py的相对路径
move: web component

* add: registry description

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* feat: node_info_update srv
fix: OTDeck cant create

* close #12
feat: slave node registry

* feat: show machine name
fix: host node registry not uploaded

* feat: add hplc registry

* feat: add hplc registry

* fix: hplc status typo

* fix: devices/

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* fix: device.class possible null

* fix: HPLC additions with online service

* fix: slave mode spin not working

* fix: slave mode spin not working

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* feat: 多ProtocolNode 允许子设备ID相同
feat: 上报发现的ActionClient
feat: Host重启动,通过discover机制要求slaveNode重新注册,实现信息及时上报

* feat: 支持env设置config

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* Device visualization (#14)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: missing hostname in devices_names
fix: upload_file for model file

* fix: missing paho-mqtt package
bump version to 0.9.0

* fix startup
add ResourceCreateFromOuter.action

* fix type hint

* update actions

* update actions

* host node add_resource_from_outer
fix cmake list

* pass device config to device class

* add: bind_parent_ids to resource create action
fix: message convert string

* fix: host node should not be re_discovered

* feat: resource tracker support dict

* feat: add more necessary params

* feat: fix boolean null in registry action data

* feat: add outer resource

* 编写mesh添加action

* feat: append resource

* add action

* feat: vis 2d for plr

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

* Device visualization (#22)

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* add 3d visualization

* 完成在main中启动设备可视化

完成在main中启动设备可视化,并输出物料ID:mesh的对应关系resource_model

添加物料模型管理类,遍历物料与resource_model,完成TF数据收集

* 完成TF发布

* 修改模型方向,在yaml中添加变换属性

* 添加物料tf变化时,发送topic到前端

另外修改了物料初始化的方法,防止在tf还未发布时提前建立物料模型与发布话题

* 添加关节发布节点与物料可视化节点进入unilab

* 使用json启动plr与3D模型仿真

* 完成启动OT并联动rviz

* 修复rviz位置问题,

修复rviz位置问题,
在无tf变动时减缓发送频率
在backend中添加物料跟随方法

* fix: running logic

* fix: running logic

* fix: missing ot

* 在main中直接初始化republisher和物料的mesh节点

* 将joint_republisher和resource_mesh_manager添加进 main_slave_run.py中

* 编写mesh添加action

* add action

* fix

* fix: browser on rviz

* fix: cloud bridge error fallback to local

* fix: salve auto run rviz

* 初始化两个plate

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>

* fix: multi channel

* fix: aspirate

* fix: aspirate

* fix: aspirate

* fix: aspirate

* 提交

* fix: jobadd

* fix: jobadd

* fix: msg converter

* tijiao

* add resource creat easy action

* identify debug msg

* mq client id

* 提取lh的joint发布

* unify liquid_handler definition

* 修改物料跟随与物料添加逻辑

修改物料跟随与物料添加逻辑
将joint_publisher类移出lh的backends,但仍需要对lh的backends进行一些改写

* Revert "修改物料跟随与物料添加逻辑"

This reverts commit 498c997ad7.

* Reapply "修改物料跟随与物料添加逻辑"

This reverts commit 3a60d2ae81.

* Revert "Merge remote-tracking branch 'upstream/dev' into device_visualization"

This reverts commit fa727220af, reversing
changes made to 498c997ad7.

* 修改物料放下时的方法,如果选择

修改物料放下时的方法,
如果选择drop_trash,则删除物料显示
如果选择drop,则让其解除连接

* add biomek.py demo implementation

* 更新LiquidHandlerBiomek类,添加资源创建功能,优化协议创建方法,修复部分代码格式问题,更新YAML配置以支持新功能。

* Test

* fix biomek success type

* Convert LH action to biomek.

* Update biomek.py

* 注册表上报handle和schema (param input)

* 修复biomek缺少的字段

* delete 's'

* Remove warnings

* Update biomek.py

* Biomek test

* Update biomek.py

* 新增transfer_biomek的msg

* New transfer_biomek

* Updated transfer_biomek

* 更新transfer_biomek的msg

* 更新transfer_biomek的msg

* 支持Biomek创建

* new action

* fix key name typo

* New parameter for biomek to run.

* Refine

* Update

* new actions

* new actions

* 1

* registry

* fix biomek startup
add action handles

* fix handles not as default entry

* unilab添加moveit启动

1,整合所有moveit节点到一个move_group中,并整合所有的controller依次激活
2,添加pymoveit2的节点,使用json可直接启动
3,修改机械臂规划方式,添加约束,让冗余关节不会进行过多移动

* biomek_test.py

biomek_test.py是最新的版本,运行它会生成complete_biomek_protocol.json

* Update biomek.py

* biomek_test.py

* fix liquid_handler.biomek handles

* 修改物体attach时,多次赋值当前时间导致卡顿问题,

* Revert "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 56d45b94f5.

* Reapply "修改物体attach时,多次赋值当前时间导致卡顿问题,"

This reverts commit 07d9db20c3.

* 添加缺少物料:"plate_well_G12",

* host node新增resource add时间统计
create_resource新增handle
bump version to 0.9.2

* 修正物料上传时间
改用biomek_test
增加ResultInfoEncoder
支持返回结果上传

* 正确发送return_info结果

* 同步执行状态信息

* 取消raiseValueError提示

* Update biomek_test.py

* 0608 DONE

* 同步了Biomek.py 现在应可用

* biomek switch back to non-test

* temp disable initialize resource

* add

* fix tip resource data

* liquid states

* change to debug level

* Revert "change to debug level"

This reverts commit 5d9953c3e5.

* Reapply "change to debug level"

This reverts commit 2487bb6ffc.

* fix tip resource data

* add full device

* add moveit yaml

* 修复moveit
增加post_init阶段,给予ros_node反向

* remove necessary node

* fix moveit action client

* remove necessary imports

* Update moveit_interface.py

* fix handler_key uppercase

* json add liquids

* fix setup

* add

* change to "sources" and "targets" for lh

* bump version

* remove parent's parent link

---------

Co-authored-by: Harvey Que <Q-Query@outlook.com>
Co-authored-by: wznln <18435084+Xuwznln@users.noreply.github.com>
Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: Junhan Chang <changjh@pku.edu.cn>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: qxw138 <qxw@stu.pku.edu.cn>
2025-06-09 17:06:04 +08:00
Xuwznln
729a0fcf0c 37-biomek-i5i7 (#40)
* add biomek.py demo implementation

* 更新LiquidHandlerBiomek类,添加资源创建功能,优化协议创建方法,修复部分代码格式问题,更新YAML配置以支持新功能。

* Test

* fix biomek success type

* Convert LH action to biomek.

* Update biomek.py

* 注册表上报handle和schema (param input)

* 修复biomek缺少的字段

* delete 's'

* Remove warnings

* Update biomek.py

* Biomek test

* Update biomek.py

* 新增transfer_biomek的msg

* New transfer_biomek

* Updated transfer_biomek

* 更新transfer_biomek的msg

* 更新transfer_biomek的msg

* 支持Biomek创建

* new action

* fix key name typo

* New parameter for biomek to run.

* Refine

* Update

* new actions

* new actions

* 1

* registry

* fix biomek startup
add action handles

* fix handles not as default entry

* biomek_test.py

biomek_test.py是最新的版本,运行它会生成complete_biomek_protocol.json

* Update biomek.py

* biomek_test.py

* fix liquid_handler.biomek handles

* host node新增resource add时间统计
create_resource新增handle
bump version to 0.9.2

* 修正物料上传时间
改用biomek_test
增加ResultInfoEncoder
支持返回结果上传

* 正确发送return_info结果

* 同步执行状态信息

* 取消raiseValueError提示

* Update biomek_test.py

* 0608 DONE

* 同步了Biomek.py 现在应可用

* biomek switch back to non-test

* temp disable initialize resource

* Refine biomek

* Refine copy issue

* Refine

---------

Co-authored-by: Junhan Chang <changjh@pku.edu.cn>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: qxw138 <qxw@stu.pku.edu.cn>
2025-06-09 16:57:42 +08:00
Xuwznln
6ae77e0408 temp disable initialize resource 2025-06-08 17:07:48 +08:00
Xuwznln
bab4b1d67a biomek switch back to non-test 2025-06-08 17:05:48 +08:00
Guangxin Zhang
12c17ec26e 同步了Biomek.py 现在应可用 2025-06-08 16:58:19 +08:00
Guangxin Zhang
6577fe12eb 0608 DONE 2025-06-08 16:49:11 +08:00
qxw138
f1fee5fad9 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-08 15:52:31 +08:00
qxw138
9b3377aedb Update biomek_test.py 2025-06-08 15:52:20 +08:00
Xuwznln
526327727d 取消raiseValueError提示 2025-06-08 15:34:56 +08:00
Xuwznln
aaa86314e3 同步执行状态信息 2025-06-08 15:34:16 +08:00
Xuwznln
6a14104e6b 正确发送return_info结果 2025-06-08 15:06:38 +08:00
Xuwznln
ab0c4b708b 修正物料上传时间
改用biomek_test
增加ResultInfoEncoder
支持返回结果上传
2025-06-08 14:43:07 +08:00
Xuwznln
c0b7f2decd host node新增resource add时间统计
create_resource新增handle
bump version to 0.9.2
2025-06-08 13:23:55 +08:00
Junhan Chang
b6c9530c61 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-07 18:52:23 +08:00
Junhan Chang
8698821c52 fix liquid_handler.biomek handles 2025-06-07 18:52:20 +08:00
qxw138
3f53f88390 biomek_test.py 2025-06-07 15:21:20 +08:00
qxw138
e840516ba4 Update biomek.py 2025-06-06 22:50:11 +08:00
qxw138
146d8c5296 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-06 22:49:35 +08:00
qxw138
6573c9e02e biomek_test.py
biomek_test.py是最新的版本,运行它会生成complete_biomek_protocol.json
2025-06-06 22:42:06 +08:00
Xuwznln
c7b9c6a825 fix handles not as default entry 2025-06-06 18:13:53 +08:00
Xuwznln
48c43d3303 fix biomek startup
add action handles
2025-06-06 17:45:54 +08:00
Xuwznln
55be5e8188 registry 2025-06-06 17:21:19 +08:00
qxw138
1b9f3c666d 1 2025-06-06 14:44:17 +08:00
qxw138
097114d38c new actions 2025-06-06 14:31:10 +08:00
qxw138
5bec899479 new actions 2025-06-06 13:56:39 +08:00
Guangxin Zhang
5e86112ebf Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-06 13:25:34 +08:00
Guangxin Zhang
24ecb13b79 Update 2025-06-06 13:22:15 +08:00
qxw138
2573d34713 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-06 13:18:42 +08:00
Guangxin Zhang
106d71e1db Refine 2025-06-06 11:11:17 +08:00
Guangxin Zhang
3c2a4a64ac Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-06 11:11:10 +08:00
Guangxin Zhang
1e00a66a65 New parameter for biomek to run. 2025-06-06 11:05:36 +08:00
qxw138
46da42deef Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-06 00:13:11 +08:00
Xuwznln
101c1bc3cc fix key name typo 2025-06-05 22:15:57 +08:00
qxw138
a62112ae26 new action 2025-06-05 17:26:36 +08:00
Xuwznln
dd5a7cab75 支持Biomek创建 2025-06-05 16:04:44 +08:00
Xuwznln
39de3ac58e 更新transfer_biomek的msg 2025-06-05 15:41:16 +08:00
Xuwznln
b99969278c 更新transfer_biomek的msg 2025-06-05 15:30:51 +08:00
Guangxin Zhang
b957ad2f71 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-04 21:49:27 +08:00
Guangxin Zhang
e1a7c3a103 Updated transfer_biomek 2025-06-04 21:49:22 +08:00
Guangxin Zhang
e63c15997c New transfer_biomek 2025-06-04 21:29:54 +08:00
Xuwznln
c5a495f409 新增transfer_biomek的msg 2025-06-04 19:03:00 +08:00
Guangxin Zhang
5b240cb0ea Update biomek.py 2025-06-04 17:30:53 +08:00
Guangxin Zhang
147b8f47c0 Biomek test 2025-06-04 16:38:18 +08:00
Guangxin Zhang
6d2489af5f Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-06-04 13:27:11 +08:00
Guangxin Zhang
807dcdd226 Update biomek.py 2025-06-04 13:27:05 +08:00
Guangxin Zhang
8a29bc5597 Remove warnings 2025-06-04 13:20:12 +08:00
Guangxin Zhang
6f6c70ee57 delete 's' 2025-06-04 13:11:45 +08:00
Xuwznln
478a85951c 修复biomek缺少的字段 2025-05-31 00:00:55 +08:00
Xuwznln
0f2555c90c 注册表上报handle和schema (param input) 2025-05-31 00:00:39 +08:00
Guangxin Zhang
d2dda6ee03 Merge branch '37-biomek-i5i7' of https://github.com/dptech-corp/Uni-Lab-OS into 37-biomek-i5i7 2025-05-30 17:11:23 +08:00
Guangxin Zhang
208540b307 Update biomek.py 2025-05-30 17:08:19 +08:00
Guangxin Zhang
cb7c56a1d9 Convert LH action to biomek. 2025-05-30 17:00:06 +08:00
Xuwznln
ea2e9c3e3a fix biomek success type 2025-05-30 16:50:13 +08:00
Guangxin Zhang
0452a68180 Test 2025-05-30 16:03:49 +08:00
Xuwznln
90a0f3db9b merge 2025-05-30 15:40:14 +08:00
Junhan Chang
055d120ba8 更新LiquidHandlerBiomek类,添加资源创建功能,优化协议创建方法,修复部分代码格式问题,更新YAML配置以支持新功能。 2025-05-30 15:38:23 +08:00
Junhan Chang
a948f09f60 add biomek.py demo implementation 2025-05-30 13:33:10 +08:00
96 changed files with 35439 additions and 6331 deletions

View File

@@ -49,7 +49,7 @@ conda env update --file unilabos-[YOUR_OS].yml -n environment_name
# Currently, you need to install the `unilabos_msgs` package
# You can download the system-specific package from the Release page
conda install ros-humble-unilabos-msgs-0.9.7-xxxxx.tar.bz2
conda install ros-humble-unilabos-msgs-0.9.10-xxxxx.tar.bz2
# Install PyLabRobot and other prerequisites
git clone https://github.com/PyLabRobot/pylabrobot plr_repo

View File

@@ -49,7 +49,7 @@ conda env update --file unilabos-[YOUR_OS].yml -n 环境名
# 现阶段,需要安装 `unilabos_msgs` 包
# 可以前往 Release 页面下载系统对应的包进行安装
conda install ros-humble-unilabos-msgs-0.9.7-xxxxx.tar.bz2
conda install ros-humble-unilabos-msgs-0.9.11-xxxxx.tar.bz2
# 安装PyLabRobot等前置
git clone https://github.com/PyLabRobot/pylabrobot plr_repo

View File

@@ -1,3 +1,6 @@
channel_sources:
- robostack,robostack-staging,conda-forge,defaults
gazebo:
- '11'
libpqxx:

View File

@@ -1,6 +1,6 @@
package:
name: ros-humble-unilabos-msgs
version: 0.9.7
version: 0.9.11
source:
path: ../../unilabos_msgs
folder: ros-humble-unilabos-msgs/src/work

View File

@@ -1,6 +1,6 @@
package:
name: unilabos
version: "0.9.7"
version: "0.9.11"
source:
path: ../..

View File

@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup(
name=package_name,
version='0.9.7',
version='0.9.11',
packages=find_packages(),
include_package_data=True,
install_requires=['setuptools'],

View File

@@ -0,0 +1,45 @@
{
"nodes": [
{
"id": "Camera",
"name": "摄像头",
"children": [
],
"parent": null,
"type": "device",
"class": "camera",
"position": {
"x": 0,
"y": 0,
"z": 0
},
"config": {
"camera_index": 0,
"period": 0.05
},
"data": {
}
},
{
"id": "Gripper1",
"name": "假夹爪",
"children": [
],
"parent": null,
"type": "device",
"class": "gripper.mock",
"position": {
"x": 0,
"y": 0,
"z": 0
},
"config": {
},
"data": {
}
}
],
"links": [
]
}

View File

@@ -23,6 +23,7 @@
HeatChillProtocol: generate_heat_chill_protocol, (√)
HeatChillStartProtocol: generate_heat_chill_start_protocol, (√)
HeatChillStopProtocol: generate_heat_chill_stop_protocol, (√)
HeatChillToTempProtocol:
StirProtocol: generate_stir_protocol, (√)
StartStirProtocol: generate_start_stir_protocol, (√)
StopStirProtocol: generate_stop_stir_protocol, (√)
@@ -30,7 +31,228 @@
CleanVesselProtocol: generate_clean_vessel_protocol, (√)
DissolveProtocol: generate_dissolve_protocol, (√)
FilterThroughProtocol: generate_filter_through_protocol, (√)
RunColumnProtocol: generate_run_column_protocol, (×)
WashSolidProtocol: generate_wash_solid_protocol, (×)
RunColumnProtocol: generate_run_column_protocol, (√)<RunColumn Rf="?" column="column" from_vessel="rotavap" ratio="5:95" solvent1="methanol" solvent2="chloroform" to_vessel="rotavap"/>
上下文体积搜索
上下文体积搜索
3. 还没创建的protocol
ResetHandling 写完了 <ResetHandling solvent="methanol"/>
Dry 写完了 <Dry compound="product" vessel="filter"/>
AdjustPH 写完了 <AdjustPH pH="8.0" reagent="hydrochloric acid" vessel="main_reactor"/>
Recrystallize 写完了 <Recrystallize ratio="?" solvent1="dichloromethane" solvent2="methanol" vessel="filter" volume="?"/>
TakeSample <TakeSample id="a" vessel="rotavap"/>
Hydrogenate <Hydrogenate temp="45 °C" time="?" vessel="main_reactor"/>
4. 参数对齐
class PumpTransferProtocol(BaseModel):
from_vessel: str
to_vessel: str
volume: float
amount: str = ""
time: float = 0
viscous: bool = False
rinsing_solvent: str = "air" <Transfer from_vessel="main_reactor" to_vessel="rotavap"/>
rinsing_volume: float = 5000 <Transfer event="A" from_vessel="reactor" rate_spec="dropwise" to_vessel="main_reactor"/>
rinsing_repeats: int = 2 <Transfer from_vessel="separator" through="cartridge" to_vessel="rotavap"/>
solid: bool = False 测完了三个都能跑✅
flowrate: float = 500
transfer_flowrate: float = 2500
class SeparateProtocol(BaseModel):
purpose: str
product_phase: str
from_vessel: str
separation_vessel: str
to_vessel: str
waste_phase_to_vessel: str
solvent: str
solvent_volume: float <Separate product_phase="bottom" purpose="wash" solvent="water" vessel="separator" volume="?"/>
through: str <Separate product_phase="top" purpose="separate" vessel="separator"/>
repeats: int <Separate product_phase="bottom" purpose="extract" repeats="3" solvent="CH2Cl2" vessel="separator" volume="?"/>
stir_time: float <Separate product_phase="top" product_vessel="flask" purpose="separate" vessel="separator" waste_vessel="separator"/>
stir_speed: float
settling_time: float 测完了能跑✅
class EvaporateProtocol(BaseModel):
vessel: str
pressure: float
temp: float <Evaporate solvent="ethanol" vessel="rotavap"/>
time: float 测完了能跑✅
stir_speed: float
class EvacuateAndRefillProtocol(BaseModel):
vessel: str
gas: str <EvacuateAndRefill gas="nitrogen" vessel="main_reactor"/>
repeats: int 测完了能跑✅
class AddProtocol(BaseModel):
vessel: str
reagent: str
volume: float
mass: float
amount: str
time: float
stir: bool
stir_speed: float <Add reagent="ethanol" vessel="main_reactor" volume="2.7 mL"/>
<Add event="A" mass="19.3 g" mol="0.28 mol" rate_spec="portionwise" reagent="sodium nitrite" time="1 h" vessel="main_reactor"/>
<Add mass="4.5 g" mol="16.2 mmol" reagent="(S)-2-phthalimido-6-hydroxyhexanoic acid" vessel="main_reactor"/>
<Add purpose="dilute" reagent="hydrochloric acid" vessel="main_reactor" volume="?"/>
<Add equiv="1.1" event="B" mol="25.2 mmol" rate_spec="dropwise" reagent="1-fluoro-2-nitrobenzene" time="20 min"
vessel="main_reactor" volume="2.67 mL"/>
<Add ratio="?" reagent="tetrahydrofuran|tert-butanol" vessel="main_reactor" volume="?"/>
viscous: bool
purpose: str 测完了能跑✅
class CentrifugeProtocol(BaseModel):
vessel: str
speed: float
time: float 没毛病
temp: float
class FilterProtocol(BaseModel):
vessel: str
filtrate_vessel: str
stir: bool <Filter vessel="filter"/>
stir_speed: float <Filter filtrate_vessel="rotavap" vessel="filter"/>
temp: float 测完了能跑✅
continue_heatchill: bool
volume: float
class HeatChillProtocol(BaseModel):
vessel: str
temp: float
time: float <HeatChill pressure="1 mbar" temp_spec="room temperature" time="?" vessel="main_reactor"/>
<HeatChill temp_spec="room temperature" time_spec="overnight" vessel="main_reactor"/>
<HeatChill temp="256 °C" time="?" vessel="main_reactor"/>
<HeatChill reflux_solvent="methanol" temp_spec="reflux" time="2 h" vessel="main_reactor"/>
<HeatChillToTemp temp_spec="room temperature" vessel="main_reactor"/>
stir: bool 测完了能跑✅
stir_speed: float
purpose: str
class HeatChillStartProtocol(BaseModel):
vessel: str
temp: float 疑似没有
purpose: str
class HeatChillStopProtocol(BaseModel):
vessel: str 疑似没有
class StirProtocol(BaseModel):
stir_time: float
stir_speed: float <Stir time="0.5 h" vessel="main_reactor"/>
<Stir event="A" time="30 min" vessel="main_reactor"/>
<Stir time_spec="several minutes" vessel="filter"/>
settling_time: float 测完了能跑✅
class StartStirProtocol(BaseModel):
vessel: str
stir_speed: float 疑似没有
purpose: str
class StopStirProtocol(BaseModel):
vessel: str 疑似没有
class TransferProtocol(BaseModel):
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 这个protocol早该删掉了
class CleanVesselProtocol(BaseModel):
vessel: str
solvent: str
volume: float
temp: float
repeats: int = 1 <CleanVessel vessel="centrifuge"/>
class DissolveProtocol(BaseModel):
vessel: str
solvent: str
volume: float <Dissolve mass="2.9 g" mol="0.12 mol" reagent="magnesium" vessel="main_reactor"/>
amount: str = "" <Dissolve mass="12.9 g" reagent="4-tert-butylbenzyl bromide" vessel="main_reactor"/>
temp: float = 25.0 <Dissolve solvent="diisopropyl ether" vessel="rotavap" volume="?"/>
time: float = 0.0 <Dissolve event="A" mass="?" reagent="pyridinone" vessel="main_reactor"/>
stir_speed: float = 0.0 测完了能跑✅
class FilterThroughProtocol(BaseModel):
from_vessel: str
to_vessel: str
filter_through: str
eluting_solvent: str = ""
eluting_volume: float = 0.0 疑似没有
eluting_repeats: int = 0
residence_time: float = 0.0
class RunColumnProtocol(BaseModel):
from_vessel: str
to_vessel: str <RunColumn Rf="?" column="column" from_vessel="rotavap" pct1="40 %" pct2="50 %" solvent1="ethyl acetate" solvent2="hexane" to_vessel="rotavap"/>
column: str 测完了能跑✅
class WashSolidProtocol(BaseModel):
vessel: str
solvent: str
volume: float
filtrate_vessel: str = "" <WashSolid repeats="4" solvent="water" vessel="main_reactor" volume="400 mL"/>
temp: float = 25.0 <WashSolid filtrate_vessel="rotavap" solvent="formic acid" vessel="main_reactor" volume="?"/>
stir: bool = False <WashSolid solvent="acetone" vessel="rotavap" volume="5 mL"/>
<WashSolid solvent="ethyl alcohol" vessel="main_reactor" volume_spec="small volume"/>
<WashSolid filtrate_vessel="rotavap" mass="10 g" solvent="toluene" vessel="separator"/>
<WashSolid repeats_spec="several" solvent="water" vessel="main_reactor" volume="?"/>
stir_speed: float = 0.0 测完了能跑✅
time: float = 0.0
repeats: int = 1
class AdjustPHProtocol(BaseModel):
vessel: str = Field(..., description="目标容器")
ph_value: float = Field(..., description="目标pH值") # 改为 ph_value
reagent: str = Field(..., description="酸碱试剂名称")
# 移除其他可选参数,使用默认值 <新写的没问题>
class ResetHandlingProtocol(BaseModel):
solvent: str = Field(..., description="溶剂名称") <新写的没问题>
class DryProtocol(BaseModel):
compound: str = Field(..., description="化合物名称") <新写的没问题>
vessel: str = Field(..., description="目标容器")
class RecrystallizeProtocol(BaseModel):
ratio: str = Field(..., description="溶剂比例(如 '1:1', '3:7'")
solvent1: str = Field(..., description="第一种溶剂名称") <新写的没问题>
solvent2: str = Field(..., description="第二种溶剂名称")
vessel: str = Field(..., description="目标容器")
volume: float = Field(..., description="总体积 (mL)")
class HydrogenateProtocol(BaseModel):
temp: str = Field(..., description="反应温度(如 '45 °C'")
time: str = Field(..., description="反应时间(如 '2 h'") <新写的没问题>
vessel: str = Field(..., description="反应容器")
还差
<dissolve>
<separate>
<CleanVessel vessel="centrifuge"/>
单位修复:
evaporate
heatchill
recrysitallize
stir
wash solid

View File

@@ -23,14 +23,20 @@
"waste_bottle_2",
"solenoid_valve_1",
"solenoid_valve_2",
"solenoid_valve_3",
"vacuum_pump_1",
"gas_source_1",
"h2_gas_source",
"filter_1",
"column_1",
"separator_1",
"collection_bottle_1",
"collection_bottle_2",
"collection_bottle_3"
"collection_bottle_3",
"solid_dispenser_1",
"solid_reagent_bottle_1",
"solid_reagent_bottle_2",
"solid_reagent_bottle_3"
],
"parent": null,
"type": "device",
@@ -60,7 +66,12 @@
"HeatChillStartProtocol",
"HeatChillStopProtocol",
"EvacuateAndRefillProtocol",
"PumpTransferProtocol"
"PumpTransferProtocol",
"AdjustPHProtocol",
"ResetHandlingProtocol",
"DryProtocol",
"HydrogenateProtocol",
"RecrystallizeProtocol"
]
},
"data": {}
@@ -461,6 +472,28 @@
"is_open": false
}
},
{
"id": "solenoid_valve_3",
"name": "氢气电磁阀",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "device",
"class": "virtual_solenoid_valve",
"position": {
"x": 450,
"y": 400,
"z": 0
},
"config": {
"voltage": 12.0,
"response_time": 0.1,
"gas_compatible": true
},
"data": {
"valve_state": "Closed",
"is_open": false
}
},
{
"id": "vacuum_pump_1",
"name": "真空泵",
@@ -500,6 +533,29 @@
"max_pressure": 5.0
}
},
{
"id": "h2_gas_source",
"name": "氢气气源",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "device",
"class": "virtual_gas_source",
"position": {
"x": 500,
"y": 350,
"z": 0
},
"config": {
"max_pressure": 10.0,
"gas_type": "hydrogen"
},
"data": {
"gas_type": "hydrogen",
"max_pressure": 10.0,
"current_pressure": 0.0,
"status": "OFF"
}
},
{
"id": "filter_1",
"name": "过滤器",
@@ -620,6 +676,98 @@
"data": {
"current_volume": 0.0
}
},
{
"id": "solid_dispenser_1",
"name": "固体粉末加样器",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "device",
"class": "virtual_solid_dispenser",
"position": {
"x": 600,
"y": 300,
"z": 0
},
"config": {
"max_capacity": 100.0,
"precision": 0.001
},
"data": {
"status": "Ready",
"current_reagent": "",
"dispensed_amount": 0.0,
"total_operations": 0
}
},
{
"id": "solid_reagent_bottle_1",
"name": "固体试剂瓶1-氯化钠",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "container",
"class": "container",
"position": {
"x": 550,
"y": 250,
"z": 0
},
"config": {
"volume": 500.0,
"reagent": "sodium_chloride",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,
"reagent_name": "sodium_chloride",
"physical_state": "solid"
}
},
{
"id": "solid_reagent_bottle_2",
"name": "固体试剂瓶2-碳酸钠",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "container",
"class": "container",
"position": {
"x": 600,
"y": 250,
"z": 0
},
"config": {
"volume": 500.0,
"reagent": "sodium_carbonate",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,
"reagent_name": "sodium_carbonate",
"physical_state": "solid"
}
},
{
"id": "solid_reagent_bottle_3",
"name": "固体试剂瓶3-氯化镁",
"children": [],
"parent": "OrganicSynthesisStation",
"type": "container",
"class": "container",
"position": {
"x": 650,
"y": 250,
"z": 0
},
"config": {
"volume": 500.0,
"reagent": "magnesium_chloride",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,
"reagent_name": "magnesium_chloride",
"physical_state": "solid"
}
}
],
"links": [
@@ -680,7 +828,7 @@
"type": "fluid",
"port": {
"multiway_valve_1": "5",
"rotavap_1": "sample_in"
"rotavap_1": "samplein"
}
},
{
@@ -750,7 +898,7 @@
"type": "fluid",
"port": {
"multiway_valve_2": "3",
"solenoid_valve_2": "in"
"solenoid_valve_2": "out"
}
},
{
@@ -760,7 +908,7 @@
"type": "fluid",
"port": {
"gas_source_1": "gassource",
"solenoid_valve_2": "out"
"solenoid_valve_2": "in"
}
},
{
@@ -770,7 +918,7 @@
"type": "transport",
"port": {
"multiway_valve_2": "4",
"filter_1": "filter_in"
"filter_1": "filterin"
}
},
{
@@ -800,7 +948,7 @@
"type": "fluid",
"port": {
"multiway_valve_2": "6",
"separator_1": "separator_in"
"separator_1": "separatorin"
}
},
{
@@ -809,7 +957,7 @@
"target": "collection_bottle_3",
"type": "fluid",
"port": {
"separator_1": "bottom_phase_out",
"separator_1": "bottomphaseout",
"collection_bottle_3": "top"
}
},
@@ -859,7 +1007,7 @@
"target": "waste_bottle_2",
"type": "fluid",
"port": {
"separator_1": "top_phase_out",
"separator_1": "topphaseout",
"waste_bottle_2": "top"
}
},
@@ -874,14 +1022,14 @@
}
},
{
"id": "link_filter_filtrate_to_collection1",
"source": "filter_1",
"target": "collection_bottle_1",
"type": "transport",
"port": {
"filter_1": "filtrate_out",
"collection_bottle_1": "top"
}
"id": "link_filter_filtrate_to_collection1",
"source": "filter_1",
"target": "collection_bottle_1",
"type": "transport",
"port": {
"filter_1": "filtrateout",
"collection_bottle_1": "top"
}
},
{
"id": "link_filter_retentate_to_waste1",
@@ -889,9 +1037,69 @@
"target": "waste_bottle_1",
"type": "transport",
"port": {
"filter_1": "retentate_out",
"filter_1": "retentateout",
"waste_bottle_1": "top"
}
},
{
"id": "link_h2_gas_to_valve3",
"source": "h2_gas_source",
"target": "solenoid_valve_3",
"type": "fluid",
"port": {
"h2_gas_source": "gassource",
"solenoid_valve_3": "in"
}
},
{
"id": "link_valve3_to_reactor",
"source": "solenoid_valve_3",
"target": "main_reactor",
"type": "fluid",
"port": {
"solenoid_valve_3": "out",
"main_reactor": "top"
}
},
{
"id": "link_solid_dispenser_to_reactor",
"source": "solid_dispenser_1",
"target": "main_reactor",
"type": "resource",
"port": {
"solid_dispenser_1": "SolidOut",
"main_reactor": "top"
}
},
{
"id": "link_solid_bottle1_to_dispenser",
"source": "solid_reagent_bottle_1",
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_1": "top",
"solid_dispenser_1": "SolidIn"
}
},
{
"id": "link_solid_bottle2_to_dispenser",
"source": "solid_reagent_bottle_2",
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_2": "top",
"solid_dispenser_1": "SolidIn"
}
},
{
"id": "link_solid_bottle3_to_dispenser",
"source": "solid_reagent_bottle_3",
"target": "solid_dispenser_1",
"type": "resource",
"port": {
"solid_reagent_bottle_3": "top",
"solid_dispenser_1": "SolidIn"
}
}
]
}

View File

@@ -48,8 +48,9 @@ dependencies:
- ros-humble-ros2-control
- ros-humble-robot-state-publisher
- ros-humble-joint-state-publisher
# web
# web and visualization
- ros-humble-rosbridge-server
- ros-humble-cv-bridge
# geometry & motion planning
- ros-humble-tf2
- ros-humble-moveit

View File

@@ -50,8 +50,9 @@ dependencies:
- ros-humble-ros2-control
- ros-humble-robot-state-publisher
- ros-humble-joint-state-publisher
# web
# web and visualization
- ros-humble-rosbridge-server
- ros-humble-cv-bridge
# geometry & motion planning
- ros-humble-tf2
- ros-humble-moveit

View File

@@ -6,12 +6,12 @@ channels:
dependencies:
# Basics
- python=3.11.11
- compilers
- cmake
- make
- ninja
- sphinx
- sphinx_rtd_theme
# - compilers
# - cmake
# - make
# - ninja
# - sphinx
# - sphinx_rtd_theme
# Data Visualization
- numpy
- scipy
@@ -23,7 +23,7 @@ dependencies:
- pyserial
- pyusb
- pylibftdi
- pymodbus
- pymodbus==3.6.9
- python-can
- pyvisa
- opencv
@@ -48,8 +48,9 @@ dependencies:
- ros-humble-ros2-control
- ros-humble-robot-state-publisher
- ros-humble-joint-state-publisher
# web
# web and visualization
- ros-humble-rosbridge-server
- ros-humble-cv-bridge
# geometry & motion planning
- ros-humble-tf2
- ros-humble-moveit
@@ -61,5 +62,12 @@ dependencies:
# ros-humble-gazebo-ros // ignored because of the conflict with ign-gazebo
# ilab equipments
# ros-humble-unilabos-msgs
# driver
#- crcmod
- pip:
- paho-mqtt
- paho-mqtt
# driver
#- ur-rtde # set PYTHONUTF8=1
#- pyautogui
#- pywinauto
#- pywinauto_recorder

View File

@@ -25,12 +25,13 @@ def job_add(req: JobAddReq) -> JobData:
if req.job_id is None:
req.job_id = str(uuid.uuid4())
action_name = req.data["action"]
action_kwargs = req.data["action_kwargs"]
req.data['action'] = action_name
if action_name == "execute_command_from_outer":
action_kwargs = {"command": json.dumps(action_kwargs)}
elif "command" in action_kwargs:
action_kwargs = action_kwargs["command"]
action_type = req.data.get("action_type", "LocalUnknown")
action_args = req.data.get("action_kwargs", None) # 兼容老版本,后续删除
if action_args is None:
action_args = req.data.get("action_args")
else:
if "command" in action_args:
action_args = action_args["command"]
# print(f"job_add:{req.device_id} {action_name} {action_kwargs}")
HostNode.get_instance().send_goal(req.device_id, action_name=action_name, action_kwargs=action_kwargs, goal_uuid=req.job_id, server_info=req.server_info)
HostNode.get_instance().send_goal(req.device_id, action_type=action_type, action_name=action_name, action_kwargs=action_args, goal_uuid=req.job_id, server_info=req.server_info)
return JobData(jobId=req.job_id)

View File

@@ -56,6 +56,10 @@ class MQTTClient:
payload_json["data"] = {}
if "action" in payload_json:
payload_json["data"]["action"] = payload_json.pop("action")
if "action_type" in payload_json:
payload_json["data"]["action_type"] = payload_json.pop("action_type")
if "action_args" in payload_json:
payload_json["data"]["action_args"] = payload_json.pop("action_args")
if "action_kwargs" in payload_json:
payload_json["data"]["action_kwargs"] = payload_json.pop("action_kwargs")
job_req = JobAddReq.model_validate(payload_json)

View File

@@ -34,7 +34,7 @@ def main():
"""
parser = argparse.ArgumentParser(description="注册设备和资源到 MQTT")
parser.add_argument(
"--registry_path",
"--registry",
type=str,
default=None,
action="append",
@@ -46,10 +46,16 @@ 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(
"--complete_registry",
action="store_true",
default=False,
help="是否补全注册表",
)
args = parser.parse_args()
# 构建注册表
build_registry(args.registry_path)
build_registry(args.registry, args.complete_registry)
load_config_from_file(args.config)
from unilabos.app.mq import mqtt_client

View File

@@ -7,6 +7,7 @@ Web页面模块
import json
import os
import sys
import traceback
from pathlib import Path
from typing import Dict
@@ -17,7 +18,7 @@ from jinja2 import Environment, FileSystemLoader
from unilabos.config.config import BasicConfig
from unilabos.registry.registry import lab_registry
from unilabos.ros.msgs.message_converter import msg_converter_manager
from unilabos.utils.log import error
from unilabos.utils.log import error, debug
from unilabos.utils.type_check import TypeEncoder
from unilabos.app.web.utils.device_utils import get_registry_info
from unilabos.app.web.utils.host_utils import get_host_node_info
@@ -123,6 +124,7 @@ def setup_web_pages(router: APIRouter) -> None:
return html
except Exception as e:
debug(traceback.format_exc())
error(f"生成状态页面时出错: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error generating status page: {str(e)}")

View File

@@ -65,6 +65,8 @@ def get_yaml_from_goal_type(goal_type) -> str:
Returns:
str: 默认Goal参数的YAML格式字符串
"""
if isinstance(goal_type, str):
return "{}"
if not goal_type:
return "{}"

View File

@@ -21,16 +21,23 @@ from .dissolve_protocol import generate_dissolve_protocol
from .filter_through_protocol import generate_filter_through_protocol
from .run_column_protocol import generate_run_column_protocol
from .wash_solid_protocol import generate_wash_solid_protocol
from .adjustph_protocol import generate_adjust_ph_protocol
from .reset_handling_protocol import generate_reset_handling_protocol
from .dry_protocol import generate_dry_protocol
from .recrystallize_protocol import generate_recrystallize_protocol
from .hydrogenate_protocol import generate_hydrogenate_protocol
# Define a dictionary of protocol generators.
action_protocol_generators = {
AddProtocol: generate_add_protocol,
AGVTransferProtocol: generate_agv_transfer_protocol,
AdjustPHProtocol: generate_adjust_ph_protocol,
CentrifugeProtocol: generate_centrifuge_protocol,
CleanProtocol: generate_clean_protocol,
CleanVesselProtocol: generate_clean_vessel_protocol,
DissolveProtocol: generate_dissolve_protocol,
DryProtocol: generate_dry_protocol,
EvacuateAndRefillProtocol: generate_evacuateandrefill_protocol,
EvaporateProtocol: generate_evaporate_protocol,
FilterProtocol: generate_filter_protocol,
@@ -38,7 +45,10 @@ action_protocol_generators = {
HeatChillProtocol: generate_heat_chill_protocol,
HeatChillStartProtocol: generate_heat_chill_start_protocol,
HeatChillStopProtocol: generate_heat_chill_stop_protocol,
HydrogenateProtocol: generate_hydrogenate_protocol,
PumpTransferProtocol: generate_pump_protocol_with_rinsing,
RecrystallizeProtocol: generate_recrystallize_protocol,
ResetHandlingProtocol: generate_reset_handling_protocol,
RunColumnProtocol: generate_run_column_protocol,
SeparateProtocol: generate_separate_protocol,
StartStirProtocol: generate_start_stir_protocol,

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import networkx as nx
from typing import List, Dict, Any
from .pump_protocol import generate_pump_protocol_with_rinsing
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
Args:
G: 网络图
reagent: 试剂名称(如 "hydrochloric acid", "sodium hydroxide"
Returns:
str: 试剂容器ID
"""
print(f"ADJUST_PH: 正在查找试剂 '{reagent}' 的容器...")
# 常见酸碱试剂的别名映射
reagent_aliases = {
"hydrochloric acid": ["HCl", "hydrochloric_acid", "hcl", "muriatic_acid"],
"sodium hydroxide": ["NaOH", "sodium_hydroxide", "naoh", "caustic_soda"],
"sulfuric acid": ["H2SO4", "sulfuric_acid", "h2so4"],
"nitric acid": ["HNO3", "nitric_acid", "hno3"],
"acetic acid": ["CH3COOH", "acetic_acid", "glacial_acetic_acid"],
"ammonia": ["NH3", "ammonium_hydroxide", "nh3"],
"potassium hydroxide": ["KOH", "potassium_hydroxide", "koh"]
}
# 构建搜索名称列表
search_names = [reagent.lower()]
# 添加别名
for base_name, aliases in reagent_aliases.items():
if reagent.lower() in base_name.lower() or base_name.lower() in reagent.lower():
search_names.extend([alias.lower() for alias in aliases])
# 构建可能的容器名称
possible_names = []
for name in search_names:
name_clean = name.replace(" ", "_").replace("-", "_")
possible_names.extend([
f"flask_{name_clean}",
f"bottle_{name_clean}",
f"reagent_{name_clean}",
f"acid_{name_clean}" if "acid" in name else f"base_{name_clean}",
f"{name_clean}_bottle",
f"{name_clean}_flask",
name_clean
])
# 第一步:通过容器名称匹配
for vessel_name in possible_names:
if vessel_name in G.nodes():
print(f"ADJUST_PH: 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步:通过模糊匹配
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
# 检查是否包含任何搜索名称
for search_name in search_names:
if search_name in node_id.lower() or search_name in node_name:
print(f"ADJUST_PH: 通过模糊匹配找到容器: {node_id}")
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):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
reagent_name = vessel_data.get('reagent_name', '').lower()
for search_name in search_names:
if search_name in liquid_type or search_name in reagent_name:
print(f"ADJUST_PH: 通过液体类型匹配找到容器: {node_id}")
return node_id
# 列出可用容器帮助调试
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
print(f"ADJUST_PH: 可用容器列表:")
for container in available_containers:
print(f" - {container['id']}: {container['name']}")
print(f" 液体: {container['liquids']}")
print(f" 试剂: {container['reagent_name']}")
raise ValueError(f"找不到试剂 '{reagent}' 对应的容器。尝试了: {possible_names}")
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找与容器相连的搅拌器"""
stirrer_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
return stirrer
return stirrer_nodes[0] if stirrer_nodes else None
def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume: float = 100.0) -> float: # 改为 target_ph_value
"""
估算需要的试剂体积来调节pH
Args:
target_ph_value: 目标pH值 # 改为 target_ph_value
reagent: 试剂名称
vessel_volume: 容器体积 (mL)
Returns:
float: 估算的试剂体积 (mL)
"""
# 简化的pH调节体积估算实际应用中需要更精确的计算
if "acid" in reagent.lower() or "hcl" in reagent.lower():
# 酸性试剂pH越低需要的体积越大
if target_ph_value < 3: # 改为 target_ph_value
return vessel_volume * 0.05 # 5%
elif target_ph_value < 5: # 改为 target_ph_value
return vessel_volume * 0.02 # 2%
else:
return vessel_volume * 0.01 # 1%
elif "hydroxide" in reagent.lower() or "naoh" in reagent.lower():
# 碱性试剂pH越高需要的体积越大
if target_ph_value > 11: # 改为 target_ph_value
return vessel_volume * 0.05 # 5%
elif target_ph_value > 9: # 改为 target_ph_value
return vessel_volume * 0.02 # 2%
else:
return vessel_volume * 0.01 # 1%
else:
# 未知试剂,使用默认值
return vessel_volume * 0.01
def generate_adjust_ph_protocol(
G: nx.DiGraph,
vessel: str,
ph_value: float, # 改为 ph_value
reagent: str,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成调节pH的协议序列
Args:
G: 有向图,节点为容器和设备
vessel: 目标容器需要调节pH的容器
ph_value: 目标pH值从XDL传入 # 改为 ph_value
reagent: 酸碱试剂名称从XDL传入
**kwargs: 其他可选参数,使用默认值
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 从kwargs中获取可选参数如果没有则使用默认值
volume = kwargs.get('volume', 0.0) # 自动估算体积
stir = kwargs.get('stir', True) # 默认搅拌
stir_speed = kwargs.get('stir_speed', 300.0) # 默认搅拌速度
stir_time = kwargs.get('stir_time', 60.0) # 默认搅拌时间
settling_time = kwargs.get('settling_time', 30.0) # 默认平衡时间
print(f"ADJUST_PH: 开始生成pH调节协议")
print(f" - 目标容器: {vessel}")
print(f" - 目标pH: {ph_value}") # 改为 ph_value
print(f" - 试剂: {reagent}")
print(f" - 使用默认参数: 体积=自动估算, 搅拌=True, 搅拌速度=300RPM")
# 1. 验证目标容器存在
if vessel not in G.nodes():
raise ValueError(f"目标容器 '{vessel}' 不存在于系统中")
# 2. 查找酸碱试剂容器
try:
reagent_vessel = find_acid_base_vessel(G, reagent)
print(f"ADJUST_PH: 找到试剂容器: {reagent_vessel}")
except ValueError as e:
raise ValueError(f"无法找到试剂 '{reagent}': {str(e)}")
# 3. 如果未指定体积,自动估算
if volume <= 0:
# 获取目标容器的体积信息
vessel_data = G.nodes[vessel].get('data', {})
vessel_volume = vessel_data.get('max_volume', 100.0) # 默认100mL
estimated_volume = calculate_reagent_volume(ph_value, reagent, vessel_volume) # 改为 ph_value
volume = estimated_volume
print(f"ADJUST_PH: 自动估算试剂体积: {volume:.2f} mL")
# 4. 验证路径存在
try:
path = nx.shortest_path(G, source=reagent_vessel, target=vessel)
print(f"ADJUST_PH: 找到路径: {''.join(path)}")
except nx.NetworkXNoPath:
raise ValueError(f"从试剂容器 '{reagent_vessel}' 到目标容器 '{vessel}' 没有可用路径")
# 5. 先启动搅拌(如果需要)
stirrer_id = None
if stir:
try:
stirrer_id = find_connected_stirrer(G, vessel)
if stirrer_id:
print(f"ADJUST_PH: 找到搅拌器 {stirrer_id},启动搅拌")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": vessel,
"stir_speed": stir_speed,
"purpose": f"pH调节: 启动搅拌,准备添加 {reagent}"
}
})
# 等待搅拌稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
else:
print(f"ADJUST_PH: 警告 - 未找到搅拌器,继续执行")
except Exception as e:
print(f"ADJUST_PH: 搅拌器配置出错: {str(e)}")
# 6. 缓慢添加试剂 - 使用pump_protocol
print(f"ADJUST_PH: 开始添加试剂 {volume:.2f} mL")
# 计算添加时间pH调节需要缓慢添加
addition_time = max(30.0, volume * 2.0) # 至少30秒每mL需要2秒
try:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=reagent_vessel,
to_vessel=vessel,
volume=volume,
amount="",
time=addition_time,
viscous=False,
rinsing_solvent="", # pH调节不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=0.5 # 缓慢注入
)
action_sequence.extend(pump_actions)
except Exception as e:
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 7. 持续搅拌以混合和平衡
if stir and stirrer_id:
print(f"ADJUST_PH: 持续搅拌 {stir_time} 秒以混合试剂")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stir",
"action_kwargs": {
"stir_time": stir_time,
"stir_speed": stir_speed,
"settling_time": settling_time,
"purpose": f"pH调节: 混合试剂目标pH={ph_value}" # 改为 ph_value
}
})
# 8. 等待反应平衡
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": settling_time,
"description": f"等待pH平衡到目标值 {ph_value}" # 改为 ph_value
}
})
print(f"ADJUST_PH: 协议生成完成,共 {len(action_sequence)} 个动作")
print(f"ADJUST_PH: 预计总时间: {addition_time + stir_time + settling_time:.0f}")
return action_sequence
def generate_adjust_ph_protocol_stepwise(
G: nx.DiGraph,
vessel: str,
ph_value: float,
reagent: str,
max_volume: float = 10.0,
steps: int = 3
) -> List[Dict[str, Any]]:
"""
分步调节pH的协议更安全避免过度调节
Args:
G: 网络图
vessel: 目标容器
pH: 目标pH值
reagent: 酸碱试剂
max_volume: 最大试剂体积
steps: 分步数量
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
print(f"ADJUST_PH: 开始分步pH调节{steps}步)")
# 每步添加的体积
step_volume = max_volume / steps
for i in range(steps):
print(f"ADJUST_PH: 第 {i+1}/{steps} 步,添加 {step_volume} mL")
# 生成单步协议
step_actions = generate_adjust_ph_protocol(
G=G,
vessel=vessel,
ph_value=ph_value,
reagent=reagent,
volume=step_volume,
stir=True,
stir_speed=300.0,
stir_time=30.0,
settling_time=20.0
)
action_sequence.extend(step_actions)
# 步骤间等待
if i < steps - 1:
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 30,
"description": f"pH调节第{i+1}步完成,等待下一步"
}
})
print(f"ADJUST_PH: 分步pH调节完成")
return action_sequence
# 便捷函数常用pH调节
def generate_acidify_protocol(
G: nx.DiGraph,
vessel: str,
target_ph: float = 2.0,
acid: str = "hydrochloric acid"
) -> List[Dict[str, Any]]:
"""酸化协议"""
return generate_adjust_ph_protocol(
G, vessel, target_ph, acid, 0.0, True, 300.0, 120.0, 60.0
)
def generate_basify_protocol(
G: nx.DiGraph,
vessel: str,
target_ph: float = 12.0,
base: str = "sodium hydroxide"
) -> List[Dict[str, Any]]:
"""碱化协议"""
return generate_adjust_ph_protocol(
G, vessel, target_ph, base, 0.0, True, 300.0, 120.0, 60.0
)
def generate_neutralize_protocol(
G: nx.DiGraph,
vessel: str,
reagent: str = "sodium hydroxide"
) -> List[Dict[str, Any]]:
"""中和协议pH=7"""
return generate_adjust_ph_protocol(
G, vessel, 7.0, reagent, 0.0, True, 350.0, 180.0, 90.0
)
# 测试函数
def test_adjust_ph_protocol():
"""测试pH调节协议"""
print("=== ADJUST PH PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_adjust_ph_protocol()

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import networkx as nx
from typing import List, Dict, Any
def find_connected_heater(G: nx.DiGraph, vessel: str) -> str:
"""
查找与容器相连的加热器
Args:
G: 网络图
vessel: 容器名称
Returns:
str: 加热器ID如果没有则返回None
"""
print(f"DRY: 正在查找与容器 '{vessel}' 相连的加热器...")
# 查找所有加热器节点
heater_nodes = [node for node in G.nodes()
if ('heater' in node.lower() or
'heat' in node.lower() or
G.nodes[node].get('class') == 'virtual_heatchill' or
G.nodes[node].get('type') == 'heater')]
print(f"DRY: 找到的加热器节点: {heater_nodes}")
# 检查是否有加热器与目标容器相连
for heater in heater_nodes:
if G.has_edge(heater, vessel) or G.has_edge(vessel, heater):
print(f"DRY: 找到与容器 '{vessel}' 相连的加热器: {heater}")
return heater
# 如果没有直接连接,查找距离最近的加热器
for heater in heater_nodes:
try:
path = nx.shortest_path(G, source=heater, target=vessel)
if len(path) <= 3: # 最多2个中间节点
print(f"DRY: 找到距离较近的加热器: {heater}, 路径: {''.join(path)}")
return heater
except nx.NetworkXNoPath:
continue
print(f"DRY: 未找到与容器 '{vessel}' 相连的加热器")
return None
def generate_dry_protocol(
G: nx.DiGraph,
compound: str,
vessel: str,
**kwargs # 接收其他可能的参数但不使用
) -> List[Dict[str, Any]]:
"""
生成干燥协议序列
Args:
G: 有向图,节点为容器和设备
compound: 化合物名称从XDL传入
vessel: 目标容器从XDL传入
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 默认参数
dry_temp = 60.0 # 默认干燥温度 60°C
dry_time = 3600.0 # 默认干燥时间 1小时3600秒
print(f"DRY: 开始生成干燥协议")
print(f" - 化合物: {compound}")
print(f" - 容器: {vessel}")
print(f" - 干燥温度: {dry_temp}°C")
print(f" - 干燥时间: {dry_time/60:.0f} 分钟")
# 1. 验证目标容器存在
if vessel not in G.nodes():
print(f"DRY: 警告 - 容器 '{vessel}' 不存在于系统中,跳过干燥")
return action_sequence
# 2. 查找相连的加热器
heater_id = find_connected_heater(G, vessel)
if heater_id is None:
print(f"DRY: 警告 - 未找到与容器 '{vessel}' 相连的加热器,跳过干燥")
# 添加一个等待动作,表示干燥过程(模拟)
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 60.0, # 等待1分钟
"description": f"模拟干燥 {compound} (无加热器可用)"
}
})
return action_sequence
# 3. 启动加热器进行干燥
print(f"DRY: 启动加热器 {heater_id} 进行干燥")
# 3.1 启动加热
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": vessel,
"temp": dry_temp,
"purpose": f"干燥 {compound}"
}
})
# 3.2 等待温度稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 60.0,
"description": f"等待温度稳定到 {dry_temp}°C"
}
})
# 3.3 保持干燥温度
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel,
"temp": dry_temp,
"time": dry_time,
"purpose": f"干燥 {compound},保持温度 {dry_temp}°C"
}
})
# 3.4 停止加热
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": vessel,
"purpose": f"干燥完成,停止加热"
}
})
# 3.5 等待冷却
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 300.0, # 等待5分钟冷却
"description": f"等待 {compound} 冷却"
}
})
print(f"DRY: 协议生成完成,共 {len(action_sequence)} 个动作")
print(f"DRY: 预计总时间: {(dry_time + 360)/60:.0f} 分钟")
return action_sequence
# 测试函数
def test_dry_protocol():
"""测试干燥协议"""
print("=== DRY PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_dry_protocol()

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@@ -1,173 +1,357 @@
import numpy as np
import networkx as nx
import logging
import uuid # 🔧 移到顶部
from typing import List, Dict, Any, Optional
from .pump_protocol import generate_pump_protocol_with_rinsing, generate_pump_protocol
# 设置日志
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出函数"""
print(f"[EVACUATE_REFILL] {message}", flush=True)
logger.info(f"[EVACUATE_REFILL] {message}")
def find_gas_source(G: nx.DiGraph, gas: str) -> str:
"""根据气体名称查找对应的气源"""
# 按照命名规则查找气源
"""
根据气体名称查找对应的气源,支持多种匹配模式:
1. 容器名称匹配
2. 气体类型匹配data.gas_type
3. 默认气源
"""
debug_print(f"正在查找气体 '{gas}' 的气源...")
# 第一步:通过容器名称匹配
gas_source_patterns = [
f"gas_source_{gas}",
f"gas_{gas}",
f"flask_{gas}",
f"{gas}_source"
f"{gas}_source",
f"source_{gas}",
f"reagent_bottle_{gas}",
f"bottle_{gas}"
]
for pattern in gas_source_patterns:
if pattern in G.nodes():
debug_print(f"通过名称匹配找到气源: {pattern}")
return pattern
# 模糊匹配
for node in G.nodes():
node_class = G.nodes[node].get('class', '') or ''
if 'gas_source' in node_class and gas.lower() in node.lower():
return node
if node.startswith('flask_') and gas.lower() in node.lower():
return node
# 第二步:通过气体类型匹配 (data.gas_type)
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
# 检查是否是气源设备
if ('gas_source' in node_class or
'gas' in node_id.lower() or
node_id.startswith('flask_')):
# 检查 data.gas_type
data = node_data.get('data', {})
gas_type = data.get('gas_type', '')
if gas_type.lower() == gas.lower():
debug_print(f"通过气体类型匹配找到气源: {node_id} (gas_type: {gas_type})")
return node_id
# 检查 config.gas_type
config = node_data.get('config', {})
config_gas_type = config.get('gas_type', '')
if config_gas_type.lower() == gas.lower():
debug_print(f"通过配置气体类型匹配找到气源: {node_id} (config.gas_type: {config_gas_type})")
return node_id
# 查找所有可用的气源
available_gas_sources = [
# 第三步:查找所有可用的气源设备
available_gas_sources = []
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
if ('gas_source' in node_class or
'gas' in node_id.lower() or
(node_id.startswith('flask_') and any(g in node_id.lower() for g in ['air', 'nitrogen', 'argon']))):
data = node_data.get('data', {})
gas_type = data.get('gas_type', 'unknown')
available_gas_sources.append(f"{node_id} (gas_type: {gas_type})")
debug_print(f"可用气源列表: {available_gas_sources}")
# 第四步:如果找不到特定气体,使用默认的第一个气源
default_gas_sources = [
node for node in G.nodes()
if ((G.nodes[node].get('class') or '').startswith('virtual_gas_source')
or ('gas' in node and 'source' in node)
or (node.startswith('flask_') and any(g in node.lower() for g in ['air', 'nitrogen', 'argon', 'vacuum'])))
if ((G.nodes[node].get('class') or '').find('virtual_gas_source') != -1
or 'gas_source' in node)
]
if default_gas_sources:
default_source = default_gas_sources[0]
debug_print(f"⚠️ 未找到特定气体 '{gas}',使用默认气源: {default_source}")
return default_source
raise ValueError(f"找不到气体 '{gas}' 对应的气源。可用气源: {available_gas_sources}")
def find_vacuum_pump(G: nx.DiGraph) -> str:
"""查找真空泵设备"""
vacuum_pumps = [
node for node in G.nodes()
if ((G.nodes[node].get('class') or '').startswith('virtual_vacuum_pump')
or 'vacuum_pump' in node
or 'vacuum' in (G.nodes[node].get('class') or ''))
]
debug_print("查找真空泵设备...")
vacuum_pumps = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('virtual_vacuum_pump' in node_class or
'vacuum_pump' in node.lower() or
'vacuum' in node_class.lower()):
vacuum_pumps.append(node)
if not vacuum_pumps:
raise ValueError("系统中未找到真空泵设备")
debug_print(f"找到真空泵: {vacuum_pumps[0]}")
return vacuum_pumps[0]
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> Optional[str]:
"""查找与指定容器相连的搅拌器"""
stirrer_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
debug_print(f"查找与容器 {vessel} 相连的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_stirrer' in node_class or 'stirrer' in node.lower():
stirrer_nodes.append(node)
# 检查哪个搅拌器与目标容器相连
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
return stirrer_nodes[0] if stirrer_nodes else None
def find_associated_solenoid_valve(G: nx.DiGraph, device_id: str) -> Optional[str]:
"""查找与指定设备相关联的电磁阀"""
solenoid_valves = [
node for node in G.nodes()
if ('solenoid' in (G.nodes[node].get('class') or '').lower()
or 'solenoid_valve' in node)
]
# 通过网络连接查找直接相连的电磁阀
for solenoid in solenoid_valves:
if G.has_edge(device_id, solenoid) or G.has_edge(solenoid, device_id):
return solenoid
# 通过命名规则查找关联的电磁阀
device_type = ""
if 'vacuum' in device_id.lower():
device_type = "vacuum"
elif 'gas' in device_id.lower():
device_type = "gas"
if device_type:
for solenoid in solenoid_valves:
if device_type in solenoid.lower():
return solenoid
# 如果没有连接的搅拌器,返回第一个可用的
if stirrer_nodes:
debug_print(f"未找到直接连接的搅拌器,使用第一个可用的: {stirrer_nodes[0]}")
return stirrer_nodes[0]
debug_print("未找到搅拌器")
return None
def find_vacuum_solenoid_valve(G: nx.DiGraph, vacuum_pump: str) -> Optional[str]:
"""查找真空泵相关的电磁阀 - 根据实际连接逻辑"""
debug_print(f"查找真空泵 {vacuum_pump} 相关的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
debug_print(f"找到的电磁阀: {solenoid_valves}")
# 🔧 修复:根据实际组态图连接逻辑查找
# vacuum_pump_1 <- solenoid_valve_1 <- multiway_valve_2
for solenoid in solenoid_valves:
# 检查电磁阀是否连接到真空泵
if G.has_edge(solenoid, vacuum_pump) or G.has_edge(vacuum_pump, solenoid):
debug_print(f"✓ 找到连接真空泵的电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找(备选方案)
for solenoid in solenoid_valves:
if 'vacuum' in solenoid.lower() or solenoid == 'solenoid_valve_1':
debug_print(f"✓ 通过命名规则找到真空电磁阀: {solenoid}")
return solenoid
debug_print("⚠️ 未找到真空电磁阀")
return None
def find_gas_solenoid_valve(G: nx.DiGraph, gas_source: str) -> Optional[str]:
"""查找气源相关的电磁阀 - 根据实际连接逻辑"""
debug_print(f"查找气源 {gas_source} 相关的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
# 🔧 修复:根据实际组态图连接逻辑查找
# gas_source_1 -> solenoid_valve_2 -> multiway_valve_2
for solenoid in solenoid_valves:
# 检查气源是否连接到电磁阀
if G.has_edge(gas_source, solenoid) or G.has_edge(solenoid, gas_source):
debug_print(f"✓ 找到连接气源的电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找(备选方案)
for solenoid in solenoid_valves:
if 'gas' in solenoid.lower() or solenoid == 'solenoid_valve_2':
debug_print(f"✓ 通过命名规则找到气源电磁阀: {solenoid}")
return solenoid
debug_print("⚠️ 未找到气源电磁阀")
return None
def generate_evacuateandrefill_protocol(
G: nx.DiGraph,
vessel: str,
gas: str,
repeats: int = 1
**kwargs
) -> List[Dict[str, Any]]:
"""
生成抽真空和充气操作的动作序列
生成抽真空和充气操作的动作序列 - 最终修复版本
**修复版本**: 正确调用 pump_protocol 并处理异常
Args:
G: 设备图
vessel: 目标容器名称(必需)
gas: 气体名称(必需)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 硬编码重复次数为 3
repeats = 3
# 🔧 修复在函数开始就生成协议ID
protocol_id = str(uuid.uuid4())
debug_print(f"生成协议ID: {protocol_id}")
debug_print("=" * 60)
debug_print("开始生成抽真空充气协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - gas: {gas}")
debug_print(f" - repeats: {repeats} (硬编码)")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 60)
action_sequence = []
# 参数设置 - 关键修复:减小体积避免超出泵容量
VACUUM_VOLUME = 20.0 # 减小抽真空体积
REFILL_VOLUME = 20.0 # 减小充气体积
PUMP_FLOW_RATE = 2.5 # 降低流速
STIR_SPEED = 300.0
# === 参数验证和修正 ===
debug_print("步骤1: 参数验证和修正...")
print(f"EVACUATE_REFILL: 开始生成协议,目标容器: {vessel}, 气体: {gas}, 重复次数: {repeats}")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
if not gas:
raise ValueError("gas 参数不能为空")
# 1. 验证设备存在
if vessel not in G.nodes():
raise ValueError(f"目标容器 '{vessel}' 不存在于系统中")
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 标准化气体名称
gas_aliases = {
'n2': 'nitrogen',
'ar': 'argon',
'air': 'air',
'o2': 'oxygen',
'co2': 'carbon_dioxide',
'h2': 'hydrogen'
}
original_gas = gas
gas_lower = gas.lower().strip()
if gas_lower in gas_aliases:
gas = gas_aliases[gas_lower]
debug_print(f"标准化气体名称: {original_gas} -> {gas}")
debug_print(f"最终参数: vessel={vessel}, gas={gas}, repeats={repeats}")
# === 查找设备 ===
debug_print("步骤2: 查找设备...")
# 2. 查找设备
try:
vacuum_pump = find_vacuum_pump(G)
vacuum_solenoid = find_associated_solenoid_valve(G, vacuum_pump)
gas_source = find_gas_source(G, gas)
gas_solenoid = find_associated_solenoid_valve(G, gas_source)
vacuum_solenoid = find_vacuum_solenoid_valve(G, vacuum_pump)
gas_solenoid = find_gas_solenoid_valve(G, gas_source)
stirrer_id = find_connected_stirrer(G, vessel)
print(f"EVACUATE_REFILL: 找到设备")
print(f" - 真空泵: {vacuum_pump}")
print(f" - 气源: {gas_source}")
print(f" - 真空电磁阀: {vacuum_solenoid}")
print(f" - 气源电磁阀: {gas_solenoid}")
print(f" - 搅拌器: {stirrer_id}")
debug_print(f"设备配置:")
debug_print(f" - 真空泵: {vacuum_pump}")
debug_print(f" - 气源: {gas_source}")
debug_print(f" - 真空电磁阀: {vacuum_solenoid}")
debug_print(f" - 气源电磁阀: {gas_solenoid}")
debug_print(f" - 搅拌器: {stirrer_id}")
except ValueError as e:
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"设备查找失败: {str(e)}")
# 3. **关键修复**: 验证路径存在性
try:
# 验证抽真空路径
vacuum_path = nx.shortest_path(G, source=vessel, target=vacuum_pump)
print(f"EVACUATE_REFILL: 抽真空路径: {''.join(vacuum_path)}")
# 验证充气路径
gas_path = nx.shortest_path(G, source=gas_source, target=vessel)
print(f"EVACUATE_REFILL: 充气路径: {''.join(gas_path)}")
# **新增**: 检查路径中的边数据
for i in range(len(vacuum_path) - 1):
nodeA, nodeB = vacuum_path[i], vacuum_path[i + 1]
edge_data = G.get_edge_data(nodeA, nodeB)
if not edge_data or 'port' not in edge_data:
raise ValueError(f"路径 {nodeA}{nodeB} 缺少端口信息")
print(f" 抽真空路径边 {nodeA}{nodeB}: {edge_data}")
for i in range(len(gas_path) - 1):
nodeA, nodeB = gas_path[i], gas_path[i + 1]
edge_data = G.get_edge_data(nodeA, nodeB)
if not edge_data or 'port' not in edge_data:
raise ValueError(f"路径 {nodeA}{nodeB} 缺少端口信息")
print(f" 充气路径边 {nodeA}{nodeB}: {edge_data}")
except nx.NetworkXNoPath as e:
raise ValueError(f"路径不存在: {str(e)}")
except Exception as e:
raise ValueError(f"路径验证失败: {str(e)}")
# === 参数设置 ===
debug_print("步骤3: 参数设置...")
# 根据气体类型调整参数
if gas.lower() in ['nitrogen', 'argon']:
VACUUM_VOLUME = 25.0
REFILL_VOLUME = 25.0
PUMP_FLOW_RATE = 2.0
VACUUM_TIME = 30.0
REFILL_TIME = 20.0
debug_print("惰性气体:使用标准参数")
elif gas.lower() in ['air', 'oxygen']:
VACUUM_VOLUME = 20.0
REFILL_VOLUME = 20.0
PUMP_FLOW_RATE = 1.5
VACUUM_TIME = 45.0
REFILL_TIME = 25.0
debug_print("活性气体:使用保守参数")
else:
VACUUM_VOLUME = 15.0
REFILL_VOLUME = 15.0
PUMP_FLOW_RATE = 1.0
VACUUM_TIME = 60.0
REFILL_TIME = 30.0
debug_print("未知气体:使用安全参数")
STIR_SPEED = 200.0
debug_print(f"操作参数:")
debug_print(f" - 抽真空体积: {VACUUM_VOLUME}mL")
debug_print(f" - 充气体积: {REFILL_VOLUME}mL")
debug_print(f" - 泵流速: {PUMP_FLOW_RATE}mL/s")
debug_print(f" - 抽真空时间: {VACUUM_TIME}s")
debug_print(f" - 充气时间: {REFILL_TIME}s")
debug_print(f" - 搅拌速度: {STIR_SPEED}RPM")
# === 路径验证 ===
debug_print("步骤4: 路径验证...")
try:
# 验证抽真空路径: vessel -> vacuum_pump (通过八通阀和电磁阀)
if nx.has_path(G, vessel, vacuum_pump):
vacuum_path = nx.shortest_path(G, source=vessel, target=vacuum_pump)
debug_print(f"抽真空路径: {''.join(vacuum_path)}")
else:
debug_print(f"⚠️ 抽真空路径不存在,继续执行但可能有问题")
# 验证充气路径: gas_source -> vessel (通过电磁阀和八通阀)
if nx.has_path(G, gas_source, vessel):
gas_path = nx.shortest_path(G, source=gas_source, target=vessel)
debug_print(f"充气路径: {''.join(gas_path)}")
else:
debug_print(f"⚠️ 充气路径不存在,继续执行但可能有问题")
except Exception as e:
debug_print(f"⚠️ 路径验证失败: {str(e)},继续执行")
# === 启动搅拌器 ===
debug_print("步骤5: 启动搅拌器...")
# 4. 启动搅拌器
if stirrer_id:
debug_print(f"启动搅拌器: {stirrer_id}")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
@@ -177,15 +361,26 @@ def generate_evacuateandrefill_protocol(
"purpose": "抽真空充气操作前启动搅拌"
}
})
# 等待搅拌稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
else:
debug_print("未找到搅拌器,跳过搅拌启动")
# === 执行 3 次抽真空-充气循环 ===
debug_print("步骤6: 执行抽真空-充气循环...")
# 5. 执行多次抽真空-充气循环
for cycle in range(repeats):
print(f"EVACUATE_REFILL: === 第 {cycle+1}/{repeats} 次循环 ===")
debug_print(f"=== 第 {cycle+1}/{repeats} 次循环 ===")
# ============ 抽真空阶段 ============
print(f"EVACUATE_REFILL: 抽真空阶段开始")
debug_print(f"抽真空阶段开始")
# 启动真空泵
debug_print(f"启动真空泵: {vacuum_pump}")
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
@@ -194,18 +389,17 @@ def generate_evacuateandrefill_protocol(
# 开启真空电磁阀
if vacuum_solenoid:
debug_print(f"开启真空电磁阀: {vacuum_solenoid}")
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# **关键修复**: 改进 pump_protocol 调用和错误处理
print(f"EVACUATE_REFILL: 调用抽真空 pump_protocol: {vessel}{vacuum_pump}")
print(f" - 体积: {VACUUM_VOLUME} mL")
print(f" - 流速: {PUMP_FLOW_RATE} mL/s")
# 抽真空操作 - 使用液体转移协议
debug_print(f"抽真空操作: {vessel}{vacuum_pump}")
try:
vacuum_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=vessel,
@@ -214,7 +408,7 @@ def generate_evacuateandrefill_protocol(
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # **修复**: 明确不使用清洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
@@ -224,52 +418,31 @@ def generate_evacuateandrefill_protocol(
if vacuum_transfer_actions:
action_sequence.extend(vacuum_transfer_actions)
print(f"EVACUATE_REFILL: ✅ 成功添加 {len(vacuum_transfer_actions)} 个抽真空动作")
debug_print(f"添加 {len(vacuum_transfer_actions)} 个抽真空动作")
else:
print(f"EVACUATE_REFILL: ⚠️ 抽真空 pump_protocol 返回空序列")
# **修复**: 添加手动泵动作作为备选
action_sequence.extend([
{
"device_id": "multiway_valve_1",
"action_name": "set_valve_position",
"action_kwargs": {"command": "5"} # 连接到反应器
},
{
"device_id": "transfer_pump_1",
"action_name": "set_position",
"action_kwargs": {
"position": VACUUM_VOLUME,
"max_velocity": PUMP_FLOW_RATE
}
}
])
print(f"EVACUATE_REFILL: 使用备选手动泵动作")
debug_print("⚠️ 抽真空协议返回空序列,添加手动动作")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
except Exception as e:
print(f"EVACUATE_REFILL: ❌ 抽真空 pump_protocol 失败: {str(e)}")
import traceback
print(f"EVACUATE_REFILL: 详细错误:\n{traceback.format_exc()}")
# **修复**: 添加手动动作而不是忽略错误
print(f"EVACUATE_REFILL: 使用手动备选方案")
action_sequence.extend([
{
"device_id": "multiway_valve_1",
"action_name": "set_valve_position",
"action_kwargs": {"command": "5"} # 反应器端口
},
{
"device_id": "transfer_pump_1",
"action_name": "set_position",
"action_kwargs": {
"position": VACUUM_VOLUME,
"max_velocity": PUMP_FLOW_RATE
}
}
])
debug_print(f"❌ 抽真空失败: {str(e)}")
# 添加等待时间作为备选
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 抽真空后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 关闭真空电磁阀
if vacuum_solenoid:
debug_print(f"关闭真空电磁阀: {vacuum_solenoid}")
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
@@ -277,34 +450,43 @@ def generate_evacuateandrefill_protocol(
})
# 关闭真空泵
debug_print(f"关闭真空泵: {vacuum_pump}")
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
"action_kwargs": {"string": "OFF"}
})
# 抽真空后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
# ============ 充气阶段 ============
print(f"EVACUATE_REFILL: 充气阶段开始")
debug_print(f"充气阶段开始")
# 启动气源
debug_print(f"启动气源: {gas_source}")
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
"action_name": "set_status",
"action_kwargs": {"string": "ON"}
})
# 开启气源电磁阀
if gas_solenoid:
debug_print(f"开启气源电磁阀: {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# **关键修复**: 改进充气 pump_protocol 调用
print(f"EVACUATE_REFILL: 调用充气 pump_protocol: {gas_source}{vessel}")
# 充气操作 - 使用液体转移协议
debug_print(f"充气操作: {gas_source}{vessel}")
try:
gas_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=gas_source,
@@ -313,7 +495,7 @@ def generate_evacuateandrefill_protocol(
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # **修复**: 明确不使用清洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
@@ -323,77 +505,31 @@ def generate_evacuateandrefill_protocol(
if gas_transfer_actions:
action_sequence.extend(gas_transfer_actions)
print(f"EVACUATE_REFILL: ✅ 成功添加 {len(gas_transfer_actions)} 个充气动作")
debug_print(f"添加 {len(gas_transfer_actions)} 个充气动作")
else:
print(f"EVACUATE_REFILL: ⚠️ 充气 pump_protocol 返回空序列")
# **修复**: 添加手动充气动作
action_sequence.extend([
{
"device_id": "multiway_valve_2",
"action_name": "set_valve_position",
"action_kwargs": {"command": "8"} # 氮气端口
},
{
"device_id": "transfer_pump_2",
"action_name": "set_position",
"action_kwargs": {
"position": REFILL_VOLUME,
"max_velocity": PUMP_FLOW_RATE
}
},
{
"device_id": "multiway_valve_2",
"action_name": "set_valve_position",
"action_kwargs": {"command": "5"} # 反应器端口
},
{
"device_id": "transfer_pump_2",
"action_name": "set_position",
"action_kwargs": {
"position": 0.0,
"max_velocity": PUMP_FLOW_RATE
}
}
])
debug_print("⚠️ 充气协议返回空序列,添加手动动作")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
except Exception as e:
print(f"EVACUATE_REFILL: ❌ 充气 pump_protocol 失败: {str(e)}")
import traceback
print(f"EVACUATE_REFILL: 详细错误:\n{traceback.format_exc()}")
# **修复**: 使用手动充气动作
print(f"EVACUATE_REFILL: 使用手动充气方案")
action_sequence.extend([
{
"device_id": "multiway_valve_2",
"action_name": "set_valve_position",
"action_kwargs": {"command": "8"} # 连接气源
},
{
"device_id": "transfer_pump_2",
"action_name": "set_position",
"action_kwargs": {
"position": REFILL_VOLUME,
"max_velocity": PUMP_FLOW_RATE
}
},
{
"device_id": "multiway_valve_2",
"action_name": "set_valve_position",
"action_kwargs": {"command": "5"} # 连接反应器
},
{
"device_id": "transfer_pump_2",
"action_name": "set_position",
"action_kwargs": {
"position": 0.0,
"max_velocity": PUMP_FLOW_RATE
}
}
])
debug_print(f"❌ 充气失败: {str(e)}")
# 添加等待时间作为备选
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 充气后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 关闭气源电磁阀
if gas_solenoid:
debug_print(f"关闭气源电磁阀: {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
@@ -401,6 +537,7 @@ def generate_evacuateandrefill_protocol(
})
# 关闭气源
debug_print(f"关闭气源: {gas_source}")
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
@@ -409,29 +546,59 @@ def generate_evacuateandrefill_protocol(
# 等待下一次循环
if cycle < repeats - 1:
debug_print(f"等待下一次循环...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 2.0}
"action_kwargs": {"time": 10.0}
})
# 停止搅拌器
# === 停止搅拌器 ===
debug_print("步骤7: 停止搅拌器...")
if stirrer_id:
debug_print(f"停止搅拌器: {stirrer_id}")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {"vessel": vessel}
})
print(f"EVACUATE_REFILL: 协议生成完成,共 {len(action_sequence)} 个动作")
# === 最终等待 ===
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# === 总结 ===
debug_print("=" * 60)
debug_print(f"抽真空充气协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"处理容器: {vessel}")
debug_print(f"使用气体: {gas}")
debug_print(f"重复次数: {repeats} (硬编码)")
debug_print("=" * 60)
return action_sequence
# === 便捷函数 ===
def generate_nitrogen_purge_protocol(G: nx.DiGraph, vessel: str, **kwargs) -> List[Dict[str, Any]]:
"""生成氮气置换协议"""
return generate_evacuateandrefill_protocol(G, vessel, "nitrogen", **kwargs)
def generate_argon_purge_protocol(G: nx.DiGraph, vessel: str, **kwargs) -> List[Dict[str, Any]]:
"""生成氩气置换协议"""
return generate_evacuateandrefill_protocol(G, vessel, "argon", **kwargs)
def generate_air_purge_protocol(G: nx.DiGraph, vessel: str, **kwargs) -> List[Dict[str, Any]]:
"""生成空气置换协议"""
return generate_evacuateandrefill_protocol(G, vessel, "air", **kwargs)
# 测试函数
def test_evacuateandrefill_protocol():
"""测试抽真空充气协议"""
print("=== EVACUATE AND REFILL PROTOCOL 测试 ===")
print("测试完成")
debug_print("=== EVACUATE AND REFILL PROTOCOL 测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_evacuateandrefill_protocol()

View File

@@ -1,326 +1,404 @@
from typing import List, Dict, Any
from typing import List, Dict, Any, Optional, Union
import networkx as nx
from .pump_protocol import generate_pump_protocol
import logging
import re
logger = logging.getLogger(__name__)
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
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:
"""
获取容器中的液体体积
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 vessel not in G.nodes():
return 0.0
if isinstance(time_input, (int, float)):
return float(time_input)
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
if not time_input or not str(time_input).strip():
return 180.0 # 默认3分钟
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict) and 'liquid_volume' in liquid:
total_volume += liquid['liquid_volume']
time_str = str(time_input).lower().strip()
debug_print(f"解析时间输入: '{time_str}'")
return total_volume
# 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")
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: {time_str}{value}s无单位默认秒")
return value
except ValueError:
debug_print(f"⚠️ 无法解析时间: '{time_str}'使用默认值180s")
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
elif unit in ['h', 'hr', 'hour']:
time_sec = value * 3600.0 # h -> s
elif unit in ['d', 'day']:
time_sec = value * 86400.0 # d -> s
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"时间转换: {value}{unit}{time_sec}s")
return time_sec
def find_rotavap_device(G: nx.DiGraph, vessel: str = None) -> Optional[str]:
"""
在组态图中查找旋转蒸发仪设备
Args:
G: 设备图
vessel: 指定的设备名称(可选)
Returns:
str: 找到的旋转蒸发仪设备ID如果没找到返回None
"""
debug_print("查找旋转蒸发仪设备...")
# 如果指定了vessel先检查是否存在且是旋转蒸发仪
if vessel:
if vessel in G.nodes():
node_data = G.nodes[vessel]
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
debug_print(f"检查指定设备 {vessel}: class={node_class}, type={node_type}")
# 检查是否为旋转蒸发仪
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
debug_print(f"✓ 找到指定的旋转蒸发仪: {vessel}")
return vessel
elif node_type == 'device':
debug_print(f"✓ 指定设备存在,尝试直接使用: {vessel}")
return vessel
else:
debug_print(f"✗ 指定的设备 {vessel} 不存在")
# 在所有设备中查找旋转蒸发仪
rotavap_candidates = []
for node_id, node_data in G.nodes(data=True):
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
# 跳过非设备节点
if node_type != 'device':
continue
# 检查设备类型
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"✓ 找到旋转蒸发仪候选: {node_id} (class: {node_class})")
elif any(keyword in str(node_id).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"✓ 找到旋转蒸发仪候选 (按名称): {node_id}")
if rotavap_candidates:
selected = rotavap_candidates[0] # 选择第一个找到的
debug_print(f"✓ 选择旋转蒸发仪: {selected}")
return selected
debug_print("✗ 未找到旋转蒸发仪设备")
return None
def find_rotavap_device(G: nx.DiGraph) -> str:
"""查找旋转蒸发仪设备"""
rotavap_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_rotavap']
def find_connected_vessel(G: nx.DiGraph, rotavap_device: str) -> Optional[str]:
"""
查找与旋转蒸发仪连接的容器
if rotavap_nodes:
return rotavap_nodes[0]
Args:
G: 设备图
rotavap_device: 旋转蒸发仪设备ID
raise ValueError("系统中未找到旋转蒸发仪设备")
def find_solvent_recovery_vessel(G: nx.DiGraph) -> str:
"""查找溶剂回收容器"""
possible_names = [
"flask_distillate",
"bottle_distillate",
"vessel_distillate",
"distillate",
"solvent_recovery",
"flask_solvent_recovery",
"collection_flask"
]
Returns:
str: 连接的容器ID如果没找到返回None
"""
debug_print(f"查找与 {rotavap_device} 连接的容器...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
# 查看旋转蒸发仪的子设备
rotavap_data = G.nodes[rotavap_device]
children = rotavap_data.get('children', [])
# 如果找不到专门的回收容器,使用废液容器
waste_names = ["waste_workup", "flask_waste", "bottle_waste", "waste"]
for vessel_name in waste_names:
if vessel_name in G.nodes():
return vessel_name
for child_id in children:
if child_id in G.nodes():
child_data = G.nodes[child_id]
child_type = child_data.get('type', '')
if child_type == 'container':
debug_print(f"✓ 找到连接的容器: {child_id}")
return child_id
raise ValueError(f"未找到溶剂回收容器。尝试了以下名称: {possible_names + waste_names}")
# 查看邻接的容器
for neighbor in G.neighbors(rotavap_device):
neighbor_data = G.nodes[neighbor]
neighbor_type = neighbor_data.get('type', '')
if neighbor_type == 'container':
debug_print(f"✓ 找到邻接的容器: {neighbor}")
return neighbor
debug_print("✗ 未找到连接的容器")
return None
def generate_evaporate_protocol(
G: nx.DiGraph,
vessel: str,
pressure: float = 0.1,
temp: float = 60.0,
time: float = 1800.0,
stir_speed: float = 100.0
time: Union[str, float] = "180", # 🔧 修改:支持字符串时间
stir_speed: float = 100.0,
solvent: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成蒸发操作的协议序列
蒸发流程:
1. 液体转移:将待蒸发溶液从源容器转移到旋转蒸发仪
2. 蒸发操作:执行旋转蒸发
3. (可选) 溶剂回收:将冷凝的溶剂转移到回收容器
4. 残留物转移:将浓缩物从旋转蒸发仪转移回原容器或新容器
生成蒸发操作的协议序列 - 支持单位
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 包含待蒸发溶液的容器名称
pressure: 蒸发时的真空度 (bar)默认0.1 bar
temp: 蒸发时的加热温度 (°C)默认60°C
time: 蒸发时间 (秒)默认1800秒(30分钟)
stir_speed: 旋转速度 (RPM)默认100 RPM
G: 设备图
vessel: 容器名称或旋转蒸发仪名称
pressure: 真空度 (bar)默认0.1
temp: 加热温度 (°C)默认60
time: 蒸发时间(支持 "3 min", "180", "0.5 h" 等)
stir_speed: 旋转速度 (RPM)默认100
solvent: 溶剂名称(用于参数优化)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 蒸发操作的动作序列
Raises:
ValueError: 当找不到必要的设备时抛出异常
Examples:
evaporate_actions = generate_evaporate_protocol(G, "reaction_mixture", 0.05, 80.0, 3600.0)
List[Dict[str, Any]]: 动作序列
"""
debug_print("=" * 50)
debug_print("开始生成蒸发协议(支持单位)")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - pressure: {pressure} bar")
debug_print(f" - temp: {temp}°C")
debug_print(f" - time: {time} (类型: {type(time)})")
debug_print(f" - stir_speed: {stir_speed} RPM")
debug_print(f" - solvent: '{solvent}'")
debug_print("=" * 50)
# === 步骤1: 查找旋转蒸发仪设备 ===
debug_print("步骤1: 查找旋转蒸发仪设备...")
# 验证vessel参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 查找旋转蒸发仪设备
rotavap_device = find_rotavap_device(G, vessel)
if not rotavap_device:
raise ValueError(f"未找到旋转蒸发仪设备。请检查组态图中是否包含 class 包含 'rotavap''rotary''evaporat' 的设备")
# === 步骤2: 确定目标容器 ===
debug_print("步骤2: 确定目标容器...")
target_vessel = vessel
# 如果vessel就是旋转蒸发仪设备查找连接的容器
if vessel == rotavap_device:
connected_vessel = find_connected_vessel(G, rotavap_device)
if connected_vessel:
target_vessel = connected_vessel
debug_print(f"使用连接的容器: {target_vessel}")
else:
debug_print(f"未找到连接的容器,使用设备本身: {rotavap_device}")
target_vessel = rotavap_device
elif vessel in G.nodes() and G.nodes[vessel].get('type') == 'container':
debug_print(f"使用指定的容器: {vessel}")
target_vessel = vessel
else:
debug_print(f"容器 '{vessel}' 不存在或类型不正确,使用旋转蒸发仪设备: {rotavap_device}")
target_vessel = rotavap_device
# === 🔧 新增步骤3单位解析处理 ===
debug_print("步骤3: 单位解析处理...")
# 解析时间
final_time = parse_time_input(time)
debug_print(f"时间解析: {time}{final_time}s ({final_time/60:.1f}分钟)")
# === 步骤4: 参数验证和修正 ===
debug_print("步骤4: 参数验证和修正...")
# 修正参数范围
if pressure <= 0 or pressure > 1.0:
debug_print(f"真空度 {pressure} bar 超出范围,修正为 0.1 bar")
pressure = 0.1
if temp < 10.0 or temp > 200.0:
debug_print(f"温度 {temp}°C 超出范围,修正为 60°C")
temp = 60.0
if final_time <= 0:
debug_print(f"时间 {final_time}s 无效,修正为 180s")
final_time = 180.0
if stir_speed < 10.0 or stir_speed > 300.0:
debug_print(f"旋转速度 {stir_speed} RPM 超出范围,修正为 100 RPM")
stir_speed = 100.0
# 根据溶剂优化参数
if solvent:
debug_print(f"根据溶剂 '{solvent}' 优化参数...")
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'aqueous', 'h2o']):
temp = max(temp, 80.0)
pressure = max(pressure, 0.2)
debug_print("水系溶剂:提高温度和真空度")
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
temp = min(temp, 50.0)
pressure = min(pressure, 0.05)
debug_print("易挥发溶剂:降低温度和真空度")
elif any(s in solvent_lower for s in ['dmso', 'dmi', 'toluene']):
temp = max(temp, 100.0)
pressure = min(pressure, 0.01)
debug_print("高沸点溶剂:提高温度,降低真空度")
debug_print(f"最终参数: pressure={pressure}, temp={temp}, time={final_time}, stir_speed={stir_speed}")
# === 步骤5: 生成动作序列 ===
debug_print("步骤5: 生成动作序列...")
action_sequence = []
print(f"EVAPORATE: 开始生成蒸发协议")
print(f" - 源容器: {vessel}")
print(f" - 真空度: {pressure} bar")
print(f" - 温度: {temp}°C")
print(f" - 时间: {time}s ({time/60:.1f}分钟)")
print(f" - 旋转速度: {stir_speed} RPM")
# 验证源容器存在
if vessel not in G.nodes():
raise ValueError(f"源容器 '{vessel}' 不存在于系统中")
# 获取源容器中的液体体积
source_volume = get_vessel_liquid_volume(G, vessel)
print(f"EVAPORATE: 源容器 {vessel} 中有 {source_volume} mL 液体")
# 查找旋转蒸发仪
try:
rotavap_id = find_rotavap_device(G)
print(f"EVAPORATE: 找到旋转蒸发仪: {rotavap_id}")
except ValueError as e:
raise ValueError(f"无法找到旋转蒸发仪: {str(e)}")
# 查找旋转蒸发仪样品容器
rotavap_vessel = None
possible_rotavap_vessels = ["rotavap_flask", "rotavap", "flask_rotavap", "evaporation_flask"]
for rv in possible_rotavap_vessels:
if rv in G.nodes():
rotavap_vessel = rv
break
if not rotavap_vessel:
raise ValueError(f"未找到旋转蒸发仪样品容器。尝试了: {possible_rotavap_vessels}")
print(f"EVAPORATE: 找到旋转蒸发仪样品容器: {rotavap_vessel}")
# 查找溶剂回收容器
try:
distillate_vessel = find_solvent_recovery_vessel(G)
print(f"EVAPORATE: 找到溶剂回收容器: {distillate_vessel}")
except ValueError as e:
print(f"EVAPORATE: 警告 - {str(e)}")
distillate_vessel = None
# === 简化的体积计算策略 ===
if source_volume > 0:
# 如果能检测到液体体积,使用实际体积的大部分
transfer_volume = min(source_volume * 0.9, 250.0) # 90%或最多250mL
print(f"EVAPORATE: 检测到液体体积,将转移 {transfer_volume} mL")
else:
# 如果检测不到液体体积,默认转移一整瓶 250mL
transfer_volume = 250.0
print(f"EVAPORATE: 未检测到液体体积,默认转移整瓶 {transfer_volume} mL")
# === 第一步:将待蒸发溶液转移到旋转蒸发仪 ===
print(f"EVAPORATE: 将 {transfer_volume} mL 溶液从 {vessel} 转移到 {rotavap_vessel}")
try:
transfer_to_rotavap_actions = generate_pump_protocol(
G=G,
from_vessel=vessel,
to_vessel=rotavap_vessel,
volume=transfer_volume,
flowrate=2.0,
transfer_flowrate=2.0
)
action_sequence.extend(transfer_to_rotavap_actions)
except Exception as e:
raise ValueError(f"无法将溶液转移到旋转蒸发仪: {str(e)}")
# 转移后等待
wait_action = {
# 等待稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
}
action_sequence.append(wait_action)
})
# === 第二步:执行旋转蒸发 ===
print(f"EVAPORATE: 执行旋转蒸发操作")
# 执行蒸发
debug_print(f"执行蒸发: 设备={rotavap_device}, 容器={target_vessel}")
evaporate_action = {
"device_id": rotavap_id,
"device_id": rotavap_device,
"action_name": "evaporate",
"action_kwargs": {
"vessel": rotavap_vessel,
"vessel": target_vessel,
"pressure": pressure,
"temp": temp,
"time": time,
"stir_speed": stir_speed
"time": final_time,
"stir_speed": stir_speed,
"solvent": solvent
}
}
action_sequence.append(evaporate_action)
# 蒸发后等待系统稳定
wait_action = {
# 蒸发后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 30}
}
action_sequence.append(wait_action)
})
# === 第三步:溶剂回收(如果有回收容器)===
if distillate_vessel:
print(f"EVAPORATE: 回收冷凝溶剂到 {distillate_vessel}")
try:
condenser_vessel = "rotavap_condenser"
if condenser_vessel in G.nodes():
# 估算回收体积约为转移体积的70% - 大部分溶剂被蒸发回收)
recovery_volume = transfer_volume * 0.7
print(f"EVAPORATE: 预计回收 {recovery_volume} mL 溶剂")
recovery_actions = generate_pump_protocol(
G=G,
from_vessel=condenser_vessel,
to_vessel=distillate_vessel,
volume=recovery_volume,
flowrate=3.0,
transfer_flowrate=3.0
)
action_sequence.extend(recovery_actions)
else:
print("EVAPORATE: 未找到冷凝器容器,跳过溶剂回收")
except Exception as e:
print(f"EVAPORATE: 溶剂回收失败: {str(e)}")
# === 第四步:将浓缩物转移回原容器 ===
print(f"EVAPORATE: 将浓缩物从旋转蒸发仪转移回 {vessel}")
try:
# 估算浓缩物体积约为转移体积的20% - 大部分溶剂已蒸发)
concentrate_volume = transfer_volume * 0.2
print(f"EVAPORATE: 预计浓缩物体积 {concentrate_volume} mL")
transfer_back_actions = generate_pump_protocol(
G=G,
from_vessel=rotavap_vessel,
to_vessel=vessel,
volume=concentrate_volume,
flowrate=1.0, # 浓缩物可能粘稠,用较慢流速
transfer_flowrate=1.0
)
action_sequence.extend(transfer_back_actions)
except Exception as e:
print(f"EVAPORATE: 将浓缩物转移回容器失败: {str(e)}")
# === 第五步:清洗旋转蒸发仪 ===
print(f"EVAPORATE: 清洗旋转蒸发仪")
try:
# 查找清洗溶剂
cleaning_solvent = None
for solvent in ["flask_ethanol", "flask_acetone", "flask_water"]:
if solvent in G.nodes():
cleaning_solvent = solvent
break
if cleaning_solvent and distillate_vessel:
# 用固定量溶剂清洗(不依赖检测体积)
cleaning_volume = 50.0 # 固定50mL清洗
print(f"EVAPORATE: 用 {cleaning_volume} mL {cleaning_solvent} 清洗")
# 清洗溶剂加入
cleaning_actions = generate_pump_protocol(
G=G,
from_vessel=cleaning_solvent,
to_vessel=rotavap_vessel,
volume=cleaning_volume,
flowrate=2.0,
transfer_flowrate=2.0
)
action_sequence.extend(cleaning_actions)
# 将清洗液转移到废液/回收容器
waste_actions = generate_pump_protocol(
G=G,
from_vessel=rotavap_vessel,
to_vessel=distillate_vessel, # 使用回收容器作为废液
volume=cleaning_volume,
flowrate=2.0,
transfer_flowrate=2.0
)
action_sequence.extend(waste_actions)
except Exception as e:
print(f"EVAPORATE: 清洗步骤失败: {str(e)}")
print(f"EVAPORATE: 生成了 {len(action_sequence)} 个动作")
print(f"EVAPORATE: 蒸发协议生成完成")
print(f"EVAPORATE: 总处理体积: {transfer_volume} mL")
# === 总结 ===
debug_print("=" * 50)
debug_print(f"蒸发协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"旋转蒸发仪: {rotavap_device}")
debug_print(f"目标容器: {target_vessel}")
debug_print(f"蒸发参数: {pressure} bar, {temp}°C, {final_time}s, {stir_speed} RPM")
debug_print("=" * 50)
return action_sequence
# === 便捷函数 ===
# 便捷函数:常用蒸发方案 - 都使用250mL标准瓶体积
def generate_quick_evaporate_protocol(
G: nx.DiGraph,
vessel: str,
temp: float = 40.0,
time: float = 900.0 # 15分钟
**kwargs
) -> List[Dict[str, Any]]:
"""快速蒸发:低温短时间、整瓶处理"""
return generate_evaporate_protocol(G, vessel, 0.2, temp, time, 80.0)
"""快速蒸发:低温短时间"""
return generate_evaporate_protocol(
G, vessel,
pressure=0.2,
temp=40.0,
time="15 min", # 🔧 使用带单位的时间
stir_speed=80.0,
**kwargs
)
def generate_gentle_evaporate_protocol(
G: nx.DiGraph,
vessel: str,
temp: float = 50.0,
time: float = 2700.0 # 45分钟
**kwargs
) -> List[Dict[str, Any]]:
"""温和蒸发:中等条件、较长时间、整瓶处理"""
return generate_evaporate_protocol(G, vessel, 0.1, temp, time, 60.0)
"""温和蒸发:中等条件"""
return generate_evaporate_protocol(
G, vessel,
pressure=0.1,
temp=50.0,
time="45 min", # 🔧 使用带单位的时间
stir_speed=60.0,
**kwargs
)
def generate_high_vacuum_evaporate_protocol(
G: nx.DiGraph,
vessel: str,
temp: float = 35.0,
time: float = 3600.0 # 1小时
**kwargs
) -> List[Dict[str, Any]]:
"""高真空蒸发:低温高真空、长时间、整瓶处理"""
return generate_evaporate_protocol(G, vessel, 0.01, temp, time, 120.0)
"""高真空蒸发:低温高真空"""
return generate_evaporate_protocol(
G, vessel,
pressure=0.01,
temp=35.0,
time="1 h", # 🔧 使用带单位的时间
stir_speed=120.0,
**kwargs
)
def generate_standard_evaporate_protocol(
G: nx.DiGraph,
vessel: str
vessel: str,
**kwargs
) -> List[Dict[str, Any]]:
"""标准蒸发:常用参数、整瓶250mL处理"""
"""标准蒸发:常用参数"""
return generate_evaporate_protocol(
G=G,
vessel=vessel,
pressure=0.1, # 标准真空度
temp=60.0, # 适中温度
time=1800.0, # 30分钟
stir_speed=100.0 # 适中旋转速度
G, vessel,
pressure=0.1,
temp=60.0,
time="3 min", # 🔧 使用带单位的时间
stir_speed=100.0,
**kwargs
)
# 测试函数
def test_time_parsing():
"""测试时间解析功能"""
print("=== EVAPORATE 时间解析测试 ===")
test_times = ["3 min", "180", "0.5 h", "2 hours", "?", "unknown", "1.5", "30 s"]
for time_str in test_times:
result = parse_time_input(time_str)
print(f"时间解析: '{time_str}'{result}s ({result/60:.1f}分钟)")
print("✅ 测试完成")
if __name__ == "__main__":
test_time_parsing()

View File

@@ -1,304 +1,215 @@
from typing import List, Dict, Any
from typing import List, Dict, Any, Optional
import networkx as nx
from .pump_protocol import generate_pump_protocol
import logging
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""获取容器中的液体体积"""
if vessel not in G.nodes():
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict) and 'liquid_volume' in liquid:
total_volume += liquid['liquid_volume']
return total_volume
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:
"""查找过滤器设备"""
filter_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_filter']
debug_print("查找过滤器设备...")
if filter_nodes:
return filter_nodes[0]
# 查找过滤器设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'filter' in node_class.lower() or 'filter' in node.lower():
debug_print(f"找到过滤器设备: {node}")
return node
raise ValueError("系统中未找到过滤器设备")
# 如果没找到,寻找可能的过滤器名称
possible_names = ["filter", "filter_1", "virtual_filter", "filtration_unit"]
for name in possible_names:
if name in G.nodes():
debug_print(f"找到过滤器设备: {name}")
return name
raise ValueError("未找到过滤器设备")
def find_filter_vessel(G: nx.DiGraph) -> str:
"""查找过滤器专用容器"""
possible_names = [
"filter_vessel", # 标准过滤器容器
"filtration_vessel", # 备选名称
"vessel_filter", # 备选名称
"filter_unit", # 备选名称
"filter" # 简单名称
]
def validate_vessel(G: nx.DiGraph, vessel: str, vessel_type: str = "容器") -> None:
"""验证容器是否存在"""
if not vessel:
raise ValueError(f"{vessel_type}不能为空")
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
if vessel not in G.nodes():
raise ValueError(f"{vessel_type} '{vessel}' 不存在于系统中")
raise ValueError(f"未找到过滤器容器。尝试了以下名称: {possible_names}")
def find_filtrate_vessel(G: nx.DiGraph, filtrate_vessel: str = "") -> str:
"""查找滤液收集容器"""
if filtrate_vessel and filtrate_vessel in G.nodes():
return filtrate_vessel
# 自动查找滤液容器
possible_names = [
"filtrate_vessel",
"collection_bottle_1",
"collection_bottle_2",
"waste_workup"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
raise ValueError(f"未找到滤液收集容器。尝试了以下名称: {possible_names}")
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找与指定容器相连的加热搅拌器"""
# 查找所有加热搅拌器节点
heatchill_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_heatchill']
# 检查哪个加热器与目标容器相连
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
return heatchill
# 如果没有直接连接,返回第一个可用的加热器
if heatchill_nodes:
return heatchill_nodes[0]
raise ValueError(f"未找到与容器 {vessel} 相连的加热搅拌器")
debug_print(f"{vessel_type} '{vessel}' 验证通过")
def generate_filter_protocol(
G: nx.DiGraph,
vessel: str,
filtrate_vessel: str = "",
stir: bool = False,
stir_speed: float = 300.0,
temp: float = 25.0,
continue_heatchill: bool = False,
volume: float = 0.0
**kwargs
) -> List[Dict[str, Any]]:
"""
生成过滤操作的协议序列,复用 pump_protocol 的成熟算法
过滤流程:
1. 液体转移:将待过滤溶液从源容器转移到过滤器
2. 启动加热搅拌:设置温度和搅拌
3. 执行过滤:通过过滤器分离固液
4. (可选) 继续或停止加热搅拌
生成过滤操作的协议序列
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 包含待过滤溶液的容器名称
filtrate_vessel: 滤液收集容器(可选,自动查找)
stir: 是否在过滤过程中搅拌
stir_speed: 搅拌速度 (RPM)
temp: 过滤温度 (°C)
continue_heatchill: 过滤后是否继续加热搅拌
volume: 预期过滤体积 (mL)0表示全部过滤
G: 设备图
vessel: 过滤容器名称(必需)- 包含需要过滤的混合物
filtrate_vessel: 滤液容器名称(可选)- 如果提供则收集滤液
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 过滤操作的动作序列
"""
debug_print("=" * 60)
debug_print("开始生成过滤协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - filtrate_vessel: {filtrate_vessel}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 60)
action_sequence = []
print(f"FILTER: 开始生成过滤协议")
print(f" - 源容器: {vessel}")
print(f" - 滤液容器: {filtrate_vessel}")
print(f" - 搅拌: {stir} ({stir_speed} RPM)" if stir else " - 搅拌: 否")
print(f" - 过滤温度: {temp}°C")
print(f" - 预期过滤体积: {volume} mL" if volume > 0 else " - 预期过滤体积: 全部")
print(f" - 继续加热搅拌: {continue_heatchill}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证源容器存在
if vessel not in G.nodes():
raise ValueError(f"源容器 '{vessel}' 不存在于系统中")
# 验证必需参数
validate_vessel(G, vessel, "过滤容器")
# 获取源容器中的液体体积
source_volume = get_vessel_liquid_volume(G, vessel)
print(f"FILTER: 源容器 {vessel} 中有 {source_volume} mL 液体")
# 查找过滤器设备
try:
filter_id = find_filter_device(G)
print(f"FILTER: 找到过滤器: {filter_id}")
except ValueError as e:
raise ValueError(f"无法找到过滤器: {str(e)}")
# 查找过滤器容器
try:
filter_vessel_id = find_filter_vessel(G)
print(f"FILTER: 找到过滤器容器: {filter_vessel_id}")
except ValueError as e:
raise ValueError(f"无法找到过滤器容器: {str(e)}")
# 查找滤液收集容器
try:
actual_filtrate_vessel = find_filtrate_vessel(G, filtrate_vessel)
print(f"FILTER: 找到滤液收集容器: {actual_filtrate_vessel}")
except ValueError as e:
raise ValueError(f"无法找到滤液收集容器: {str(e)}")
# 查找加热搅拌器(如果需要温度控制或搅拌)
heatchill_id = None
if temp != 25.0 or stir or continue_heatchill:
try:
heatchill_id = find_connected_heatchill(G, filter_vessel_id)
print(f"FILTER: 找到加热搅拌器: {heatchill_id}")
except ValueError as e:
print(f"FILTER: 警告 - {str(e)}")
# === 简化的体积计算策略 ===
if volume > 0:
transfer_volume = min(volume, source_volume if source_volume > 0 else volume)
print(f"FILTER: 指定过滤体积 {transfer_volume} mL")
elif source_volume > 0:
transfer_volume = source_volume * 0.9 # 90%
print(f"FILTER: 检测到液体体积,将过滤 {transfer_volume} mL")
# 验证可选参数
if filtrate_vessel:
validate_vessel(G, filtrate_vessel, "滤液容器")
debug_print("模式: 过滤并收集滤液")
else:
transfer_volume = 50.0 # 默认过滤量
print(f"FILTER: 未检测到液体体积,默认过滤 {transfer_volume} mL")
debug_print("模式: 过滤并收集固体")
# === 第一步:启动加热搅拌器(在转移前预热) ===
if heatchill_id and (temp != 25.0 or stir):
print(f"FILTER: 启动加热搅拌器,温度: {temp}°C搅拌: {stir}")
heatchill_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": filter_vessel_id,
"temp": temp,
"purpose": f"过滤过程温度控制和搅拌"
}
}
action_sequence.append(heatchill_action)
# 等待温度稳定
if temp != 25.0:
wait_time = min(30, abs(temp - 25.0) * 1.0) # 根据温差估算预热时间
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": wait_time}
})
# === 查找设备 ===
debug_print("步骤2: 查找设备...")
# === 第二步:将待过滤溶液转移到过滤器 ===
print(f"FILTER: 将 {transfer_volume} mL 溶液从 {vessel} 转移到 {filter_vessel_id}")
try:
# 使用成熟的 pump_protocol 算法进行液体转移
transfer_to_filter_actions = generate_pump_protocol(
G=G,
from_vessel=vessel,
to_vessel=filter_vessel_id,
volume=transfer_volume,
flowrate=1.0, # 过滤转移用较慢速度,避免扰动
transfer_flowrate=1.5
)
action_sequence.extend(transfer_to_filter_actions)
filter_device = find_filter_device(G)
debug_print(f"使用过滤器设备: {filter_device}")
except Exception as e:
raise ValueError(f"无法将溶液转移到过滤器: {str(e)}")
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"设备查找失败: {str(e)}")
# 转移后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
# === 转移到过滤器(如果需要)===
debug_print("步骤3: 转移到过滤器...")
# === 第三步:执行过滤操作(完全按照 Filter.action 参数) ===
print(f"FILTER: 执行过滤操作")
if vessel != filter_device:
debug_print(f"需要转移: {vessel}{filter_device}")
try:
# 使用pump protocol转移液体到过滤器
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=vessel,
to_vessel=filter_device,
volume=0.0, # 转移所有液体
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0,
transfer_flowrate=2.0
)
if transfer_actions:
action_sequence.extend(transfer_actions)
debug_print(f"✅ 添加了 {len(transfer_actions)} 个转移动作")
else:
debug_print("⚠️ 转移协议返回空序列")
except Exception as e:
debug_print(f"❌ 转移失败: {str(e)}")
# 继续执行,可能是直接连接的过滤器
else:
debug_print("过滤容器就是过滤器,无需转移")
# === 执行过滤操作 ===
debug_print("步骤4: 执行过滤操作...")
# 构建过滤动作参数
filter_kwargs = {
"vessel": filter_device, # 过滤器设备
"filtrate_vessel": filtrate_vessel, # 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),
"continue_heatchill": kwargs.get("continue_heatchill", False),
"volume": kwargs.get("volume", 0.0) # 0表示过滤所有
}
debug_print(f"过滤参数: {filter_kwargs}")
# 过滤动作
filter_action = {
"device_id": filter_id,
"device_id": filter_device,
"action_name": "filter",
"action_kwargs": {
"vessel": filter_vessel_id,
"filtrate_vessel": actual_filtrate_vessel,
"stir": stir,
"stir_speed": stir_speed,
"temp": temp,
"continue_heatchill": continue_heatchill,
"volume": transfer_volume
}
"action_kwargs": filter_kwargs
}
action_sequence.append(filter_action)
# 过滤后等待
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
"action_kwargs": {"time": 10.0}
})
# === 第四步:如果不继续加热搅拌,停止加热器 ===
if heatchill_id and not continue_heatchill and (temp != 25.0 or stir):
print(f"FILTER: 停止加热搅拌器")
stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": filter_vessel_id
}
}
action_sequence.append(stop_action)
# === 收集滤液(如果需要)===
debug_print("步骤5: 收集滤液...")
print(f"FILTER: 生成了 {len(action_sequence)} 个动作")
print(f"FILTER: 过滤协议生成完成")
if filtrate_vessel:
debug_print(f"收集滤液: {filter_device}{filtrate_vessel}")
try:
# 使用pump protocol收集滤液
collect_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=filter_device,
to_vessel=filtrate_vessel,
volume=0.0, # 收集所有滤液
amount="",
time=0.0,
viscous=False,
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0,
transfer_flowrate=2.0
)
if collect_actions:
action_sequence.extend(collect_actions)
debug_print(f"✅ 添加了 {len(collect_actions)} 个收集动作")
else:
debug_print("⚠️ 收集协议返回空序列")
except Exception as e:
debug_print(f"❌ 收集滤液失败: {str(e)}")
# 继续执行,可能滤液直接流入指定容器
else:
debug_print("未指定滤液容器,固体保留在过滤器中")
# === 最终等待 ===
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
# === 总结 ===
debug_print("=" * 60)
debug_print(f"过滤协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"过滤容器: {vessel}")
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("=" * 60)
return action_sequence
# 便捷函数:常用过滤方案
def generate_gravity_filter_protocol(
G: nx.DiGraph,
vessel: str,
filtrate_vessel: str = ""
) -> List[Dict[str, Any]]:
"""重力过滤:室温,无搅拌"""
return generate_filter_protocol(G, vessel, filtrate_vessel, False, 0.0, 25.0, False, 0.0)
def generate_hot_filter_protocol(
G: nx.DiGraph,
vessel: str,
filtrate_vessel: str = "",
temp: float = 60.0
) -> List[Dict[str, Any]]:
"""热过滤:高温过滤,防止结晶析出"""
return generate_filter_protocol(G, vessel, filtrate_vessel, False, 0.0, temp, False, 0.0)
def generate_stirred_filter_protocol(
G: nx.DiGraph,
vessel: str,
filtrate_vessel: str = "",
stir_speed: float = 200.0
) -> List[Dict[str, Any]]:
"""搅拌过滤:低速搅拌,防止滤饼堵塞"""
return generate_filter_protocol(G, vessel, filtrate_vessel, True, stir_speed, 25.0, False, 0.0)
def generate_hot_stirred_filter_protocol(
G: nx.DiGraph,
vessel: str,
filtrate_vessel: str = "",
temp: float = 60.0,
stir_speed: float = 300.0
) -> List[Dict[str, Any]]:
"""热搅拌过滤:高温搅拌过滤"""
return generate_filter_protocol(G, vessel, filtrate_vessel, True, stir_speed, temp, False, 0.0)

View File

@@ -1,148 +1,550 @@
from typing import List, Dict, Any, Optional
from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
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_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_temp_spec(temp_spec: str) -> float:
"""解析温度规格为具体温度"""
if not temp_spec:
return 25.0
temp_spec = temp_spec.strip().lower()
# 特殊温度规格
special_temps = {
"room temperature": 25.0, # 室温
"reflux": 78.0, # 默认回流温度
"ice bath": 0.0, # 冰浴
"boiling": 100.0, # 沸腾
"hot": 60.0, # 热
"warm": 40.0, # 温热
"cold": 10.0, # 冷
}
if temp_spec in special_temps:
return special_temps[temp_spec]
# 解析带单位的温度(如 "256 °C"
temp_pattern = r'(\d+(?:\.\d+)?)\s*°?[cf]?'
match = re.search(temp_pattern, temp_spec)
if match:
return float(match.group(1))
return 25.0
def parse_time_spec(time_spec: str) -> float:
"""解析时间规格为秒数"""
if not time_spec:
return 300.0
time_spec = time_spec.strip().lower()
# 特殊时间规格
special_times = {
"overnight": 43200.0, # 12小时
"several hours": 10800.0, # 3小时
"few hours": 7200.0, # 2小时
"long time": 3600.0, # 1小时
"short time": 300.0, # 5分钟
}
if time_spec in special_times:
return special_times[time_spec]
# 解析带单位的时间(如 "2 h"
time_pattern = r'(\d+(?:\.\d+)?)\s*([a-zA-Z]+)'
match = re.search(time_pattern, time_spec)
if match:
value = float(match.group(1))
unit = match.group(2).lower()
unit_multipliers = {
's': 1.0,
'sec': 1.0,
'min': 60.0,
'minute': 60.0,
'minutes': 60.0,
'h': 3600.0,
'hr': 3600.0,
'hour': 3600.0,
'hours': 3600.0,
}
multiplier = unit_multipliers.get(unit, 3600.0)
return value * multiplier
return 300.0
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""
查找与指定容器相连的加热/冷却设备
"""
"""查找与指定容器相连的加热/冷却设备"""
debug_print(f"查找加热设备,目标容器: {vessel}")
# 查找所有加热/冷却设备节点
heatchill_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_heatchill']
heatchill_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'heatchill' in node_class.lower() or 'virtual_heatchill' in node_class:
heatchill_nodes.append(node)
debug_print(f"找到加热设备: {node}")
# 检查哪个加热/冷却设备与目标容器相连(机械连接)
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
return heatchill
if vessel:
# 检查哪个加热设备与目标容器相连
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
debug_print(f"加热设备 '{heatchill}' 与容器 '{vessel}' 相连")
return heatchill
# 如果没有直接连接,返回第一个可用的加热/冷却设备
# 如果没有指定容器或没有直接连接,返回第一个可用的加热设备
if heatchill_nodes:
debug_print(f"使用第一个加热设备: {heatchill_nodes[0]}")
return heatchill_nodes[0]
raise ValueError("系统中未找到可用的加热/冷却设备")
debug_print("未找到加热设备,使用默认设备")
return "heatchill_1"
def generate_heat_chill_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
time: float,
temp: float = 25.0,
time: Union[str, float] = "300", # 🔧 修改:支持字符串时间
temp_spec: str = "",
time_spec: str = "",
pressure: str = "",
reflux_solvent: str = "",
stir: bool = False,
stir_speed: float = 300.0,
purpose: str = "加热/冷却操作"
purpose: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成加热/冷却操作的协议序列 - 带时间限制的完整操作
生成加热/冷却操作的协议序列 - 支持单位
"""
debug_print("=" * 50)
debug_print("开始生成加热冷却协议(支持单位)")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - temp: {temp}°C")
debug_print(f" - time: {time} (类型: {type(time)})")
debug_print(f" - temp_spec: {temp_spec}")
debug_print(f" - time_spec: {time_spec}")
debug_print(f" - pressure: {pressure}")
debug_print(f" - reflux_solvent: {reflux_solvent}")
debug_print(f" - stir: {stir}")
debug_print(f" - stir_speed: {stir_speed} RPM")
debug_print(f" - purpose: {purpose}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 50)
action_sequence = []
print(f"HEATCHILL: 开始生成加热/冷却协议")
print(f" - 容器: {vessel}")
print(f" - 目标温度: {temp}°C")
print(f" - 持续时间: {time}")
print(f" - 使用内置搅拌: {stir}, 速度: {stir_speed} RPM")
print(f" - 目的: {purpose}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 1. 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 2. 查找加热/冷却设备
# === 🔧 新增:单位解析处理 ===
debug_print("步骤2: 单位解析处理...")
# 温度解析:优先使用 temp_spec然后是 temp
final_temp = temp
if temp_spec:
final_temp = parse_temp_spec(temp_spec)
debug_print(f"温度解析: '{temp_spec}'{final_temp}°C")
# 时间解析:优先使用 time_spec然后是 time
if time_spec:
final_time = parse_time_spec(time_spec) # 使用现有的time_spec解析
debug_print(f"时间解析: '{time_spec}'{final_time}s")
else:
final_time = parse_time_with_units(time, "s")
debug_print(f"时间解析: {time}{final_time}s ({final_time/60:.1f}分钟)")
# 参数范围验证
if final_temp < -50.0 or final_temp > 300.0:
debug_print(f"温度 {final_temp}°C 超出范围,修正为 25°C")
final_temp = 25.0
if final_time < 0:
debug_print(f"时间 {final_time}s 无效,修正为 300s")
final_time = 300.0
if stir_speed < 0 or stir_speed > 1500.0:
debug_print(f"搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
stir_speed = 300.0
debug_print(f"✅ 单位解析和参数验证通过")
# === 查找加热设备 ===
debug_print("步骤3: 查找加热设备...")
try:
heatchill_id = find_connected_heatchill(G, vessel)
print(f"HEATCHILL: 找到加热/冷却设备: {heatchill_id}")
except ValueError as e:
raise ValueError(f"无法找到加热/冷却设备: {str(e)}")
debug_print(f"设备配置: 加热设备 = {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到加热设备: {str(e)}")
# === 执行加热操作 ===
debug_print("步骤4: 执行加热操作...")
# 3. 执行加热/冷却操作
heatchill_action = {
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel,
"temp": temp,
"time": time,
"stir": stir,
"stir_speed": stir_speed,
"status": "start"
"temp": float(final_temp), # 🔧 确保是浮点数
"time": float(final_time), # 🔧 确保是浮点数
"stir": bool(stir), # 🔧 确保是布尔值
"stir_speed": float(stir_speed), # 🔧 确保是浮点数
"purpose": str(purpose or f"加热到 {final_temp}°C") # 🔧 确保是字符串
}
}
action_sequence.append(heatchill_action)
print(f"HEATCHILL: 生成了 {len(action_sequence)} 个动作")
# === 总结 ===
debug_print("=" * 50)
debug_print(f"加热冷却协议生成完成(支持单位)")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"加热容器: {vessel}")
debug_print(f"目标温度: {final_temp}°C")
debug_print(f"加热时间: {final_time}s ({final_time/60:.1f}分钟)")
if pressure:
debug_print(f"压力参数: {pressure} (已接收,不做特殊处理)")
if reflux_solvent:
debug_print(f"回流溶剂: {reflux_solvent} (已接收,不做特殊处理)")
debug_print("=" * 50)
return action_sequence
def generate_heat_chill_to_temp_protocol(
G: nx.DiGraph,
vessel: str,
temp: float = 25.0,
time: Union[str, float] = 300.0, # 🔧 也支持字符串
temp_spec: str = "",
time_spec: str = "",
pressure: str = "",
reflux_solvent: str = "",
stir: bool = False,
stir_speed: float = 300.0,
purpose: str = "",
**kwargs # 🔧 接受额外参数,增强兼容性
) -> List[Dict[str, Any]]:
"""
生成加热/冷却操作的协议序列
Args:
G: 设备图
vessel: 加热容器名称(必需)
temp: 目标温度 (°C)
time: 加热时间(支持字符串和数字)
temp_spec: 温度规格(如 'room temperature', 'reflux'
time_spec: 时间规格(如 'overnight', '2 h'
pressure: 压力规格(如 '1 mbar'),不做特殊处理
reflux_solvent: 回流溶剂名称,不做特殊处理
stir: 是否搅拌
stir_speed: 搅拌速度 (RPM)
purpose: 操作目的
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 加热操作的动作序列
"""
debug_print("=" * 50)
debug_print("开始生成加热冷却协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - temp: {temp}°C")
debug_print(f" - time: {time} (类型: {type(time)})")
debug_print(f" - temp_spec: {temp_spec}")
debug_print(f" - time_spec: {time_spec}")
debug_print(f" - pressure: {pressure}")
debug_print(f" - reflux_solvent: {reflux_solvent}")
debug_print(f" - stir: {stir}")
debug_print(f" - stir_speed: {stir_speed} RPM")
debug_print(f" - purpose: {purpose}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 50)
action_sequence = []
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 温度解析:优先使用 temp_spec然后是 temp
final_temp = temp
if temp_spec:
final_temp = parse_temp_spec(temp_spec)
debug_print(f"温度解析: '{temp_spec}'{final_temp}°C")
# 🔧 修复:时间解析,支持字符串输入
if time_spec:
final_time = parse_time_spec(time_spec)
debug_print(f"时间解析: '{time_spec}'{final_time}s ({final_time / 60:.1f}分钟)")
else:
final_time = parse_time_with_units(time, "s")
debug_print(f"时间解析: {time}{final_time}s ({final_time/60:.1f}分钟)")
# 参数范围验证
if final_temp < -50.0 or final_temp > 300.0:
debug_print(f"温度 {final_temp}°C 超出范围,修正为 25°C")
final_temp = 25.0
if final_time < 0:
debug_print(f"时间 {final_time}s 无效,修正为 300s")
final_time = 300.0
if stir_speed < 0 or stir_speed > 1500.0:
debug_print(f"搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
stir_speed = 300.0
debug_print(f"✅ 参数验证通过")
# === 查找加热设备 ===
debug_print("步骤2: 查找加热设备...")
try:
heatchill_id = find_connected_heatchill(G, vessel)
debug_print(f"设备配置: 加热设备 = {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到加热设备: {str(e)}")
# === 执行加热操作 ===
debug_print("步骤3: 执行加热操作...")
heatchill_action = {
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel,
"temp": float(final_temp), # 🔧 确保是浮点数
"time": float(final_time), # 🔧 确保是浮点数
"stir": bool(stir), # 🔧 确保是布尔值
"stir_speed": float(stir_speed), # 🔧 确保是浮点数
"purpose": str(purpose or f"加热到 {final_temp}°C") # 🔧 确保是字符串
}
}
action_sequence.append(heatchill_action)
# === 总结 ===
debug_print("=" * 50)
debug_print(f"加热冷却协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"加热容器: {vessel}")
debug_print(f"目标温度: {final_temp}°C")
debug_print(f"加热时间: {final_time}s ({final_time / 60:.1f}分钟)")
if pressure:
debug_print(f"压力参数: {pressure} (已接收,不做特殊处理)")
if reflux_solvent:
debug_print(f"回流溶剂: {reflux_solvent} (已接收,不做特殊处理)")
debug_print("=" * 50)
return action_sequence
def generate_heat_chill_start_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
purpose: str = "开始加热/冷却"
temp: float = 25.0,
purpose: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成开始加热/冷却操作的协议序列
"""
"""生成开始加热操作的协议序列"""
debug_print("=" * 50)
debug_print("开始生成启动加热协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - temp: {temp}°C")
debug_print(f" - purpose: {purpose}")
debug_print("=" * 50)
action_sequence = []
print(f"HEATCHILL_START: 开始生成加热/冷却启动协议")
print(f" - 容器: {vessel}")
print(f" - 目标温度: {temp}°C")
print(f" - 目的: {purpose}")
# 验证参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 1. 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 2. 查找加热/冷却设备
# 查找加热设备
try:
heatchill_id = find_connected_heatchill(G, vessel)
print(f"HEATCHILL_START: 找到加热/冷却设备: {heatchill_id}")
except ValueError as e:
raise ValueError(f"无法找到加热/冷却设备: {str(e)}")
debug_print(f"设备配置: 加热设备 = {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到加热设备: {str(e)}")
# 3. 执行开始加热/冷却操作
heatchill_start_action = {
# 执行开始加热操作
start_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": vessel,
"temp": temp,
"purpose": purpose
"purpose": purpose or f"开始加热到 {temp}°C"
}
}
action_sequence.append(heatchill_start_action)
action_sequence.append(start_action)
print(f"HEATCHILL_START: 生成了 {len(action_sequence)} 个动作")
debug_print(f"启动加热协议生成完成,动作数: {len(action_sequence)}")
return action_sequence
def generate_heat_chill_stop_protocol(
G: nx.DiGraph,
vessel: str
vessel: str,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成停止加热/冷却操作的协议序列
"""
"""生成停止加热操作的协议序列"""
debug_print("=" * 50)
debug_print("开始生成停止加热协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print("=" * 50)
action_sequence = []
print(f"HEATCHILL_STOP: 开始生成加热/冷却停止协议")
print(f" - 容器: {vessel}")
# 验证参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 1. 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 2. 查找加热/冷却设备
# 查找加热设备
try:
heatchill_id = find_connected_heatchill(G, vessel)
print(f"HEATCHILL_STOP: 找到加热/冷却设备: {heatchill_id}")
except ValueError as e:
raise ValueError(f"无法找到加热/冷却设备: {str(e)}")
debug_print(f"设备配置: 加热设备 = {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到加热设备: {str(e)}")
# 3. 执行停止加热/冷却操作
heatchill_stop_action = {
# 执行停止加热操作
stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
@@ -150,224 +552,16 @@ def generate_heat_chill_stop_protocol(
}
}
action_sequence.append(heatchill_stop_action)
action_sequence.append(stop_action)
print(f"HEATCHILL_STOP: 生成了 {len(action_sequence)} 个动作")
debug_print(f"停止加热协议生成完成,动作数: {len(action_sequence)}")
return action_sequence
def generate_heat_chill_to_temp_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
active: bool = True,
continue_heatchill: bool = False,
stir: bool = False,
stir_speed: Optional[float] = None,
purpose: Optional[str] = None
) -> List[Dict[str, Any]]:
"""
生成加热/冷却到指定温度的协议序列 - 智能温控协议
**关键修复**: 学习 pump_protocol 的模式,直接使用设备基础动作,不依赖特定的 Action 文件
"""
action_sequence = []
# 设置默认值
if stir_speed is None:
stir_speed = 300.0
if purpose is None:
purpose = f"智能温控到 {temp}°C"
print(f"HEATCHILL_TO_TEMP: 开始生成智能温控协议")
print(f" - 容器: {vessel}")
print(f" - 目标温度: {temp}°C")
print(f" - 主动控温: {active}")
print(f" - 达到温度后继续: {continue_heatchill}")
print(f" - 搅拌: {stir}, 速度: {stir_speed} RPM")
print(f" - 目的: {purpose}")
# 1. 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 2. 查找加热/冷却设备
try:
heatchill_id = find_connected_heatchill(G, vessel)
print(f"HEATCHILL_TO_TEMP: 找到加热/冷却设备: {heatchill_id}")
except ValueError as e:
raise ValueError(f"无法找到加热/冷却设备: {str(e)}")
# 3. 根据参数选择合适的基础动作组合 (学习 pump_protocol 的模式)
if not active:
print(f"HEATCHILL_TO_TEMP: 非主动模式,仅等待")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"purpose": f"等待容器 {vessel} 自然达到 {temp}°C"
}
})
else:
if continue_heatchill:
# 持续模式:使用 heat_chill_start 基础动作
print(f"HEATCHILL_TO_TEMP: 使用持续温控模式")
action_sequence.append({
"device_id": heatchill_id,
"action_name": "heat_chill_start", # ← 直接使用设备基础动作
"action_kwargs": {
"vessel": vessel,
"temp": temp,
"purpose": f"{purpose} (持续保温)"
}
})
else:
# 一次性模式:使用 heat_chill 基础动作
print(f"HEATCHILL_TO_TEMP: 使用一次性温控模式")
estimated_time = max(60.0, min(900.0, abs(temp - 25.0) * 30.0))
print(f"HEATCHILL_TO_TEMP: 估算所需时间: {estimated_time}")
action_sequence.append({
"device_id": heatchill_id,
"action_name": "heat_chill", # ← 直接使用设备基础动作
"action_kwargs": {
"vessel": vessel,
"temp": temp,
"time": estimated_time,
"stir": stir,
"stir_speed": stir_speed,
"status": "start"
}
})
print(f"HEATCHILL_TO_TEMP: 生成了 {len(action_sequence)} 个动作")
return action_sequence
# 扩展版本的加热/冷却协议,集成智能温控功能
def generate_smart_heat_chill_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
time: float = 0.0, # 0表示自动估算
active: bool = True,
continue_heatchill: bool = False,
stir: bool = False,
stir_speed: float = 300.0,
purpose: str = "智能加热/冷却"
) -> List[Dict[str, Any]]:
"""
这个函数集成了 generate_heat_chill_to_temp_protocol 的智能逻辑,
但使用现有的 Action 类型
"""
# 如果时间为0自动估算
if time == 0.0:
estimated_time = max(60.0, min(900.0, abs(temp - 25.0) * 30.0))
time = estimated_time
if continue_heatchill:
# 使用持续模式
return generate_heat_chill_start_protocol(G, vessel, temp, purpose)
else:
# 使用定时模式
return generate_heat_chill_protocol(G, vessel, temp, time, stir, stir_speed, purpose)
# 便捷函数
def generate_heating_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
time: float = 300.0,
stir: bool = True,
stir_speed: float = 300.0
) -> List[Dict[str, Any]]:
"""生成加热协议的便捷函数"""
return generate_heat_chill_protocol(
G=G, vessel=vessel, temp=temp, time=time,
stir=stir, stir_speed=stir_speed, purpose=f"加热到 {temp}°C"
)
def generate_cooling_protocol(
G: nx.DiGraph,
vessel: str,
temp: float,
time: float = 600.0,
stir: bool = True,
stir_speed: float = 200.0
) -> List[Dict[str, Any]]:
"""生成冷却协议的便捷函数"""
return generate_heat_chill_protocol(
G=G, vessel=vessel, temp=temp, time=time,
stir=stir, stir_speed=stir_speed, purpose=f"冷却到 {temp}°C"
)
# # 温度预设快捷函数
# def generate_room_temp_protocol(
# G: nx.DiGraph,
# vessel: str,
# stir: bool = False
# ) -> List[Dict[str, Any]]:
# """返回室温的快捷函数"""
# return generate_heat_chill_to_temp_protocol(
# G=G,
# vessel=vessel,
# temp=25.0,
# active=True,
# continue_heatchill=False,
# stir=stir,
# purpose="冷却到室温"
# )
# def generate_reflux_heating_protocol(
# G: nx.DiGraph,
# vessel: str,
# temp: float,
# time: float = 3600.0 # 1小时回流
# ) -> List[Dict[str, Any]]:
# """回流加热的快捷函数"""
# return generate_heat_chill_protocol(
# G=G,
# vessel=vessel,
# temp=temp,
# time=time,
# stir=True,
# stir_speed=400.0, # 回流时较快搅拌
# purpose=f"回流加热到 {temp}°C"
# )
# def generate_ice_bath_protocol(
# G: nx.DiGraph,
# vessel: str,
# time: float = 600.0 # 10分钟冰浴
# ) -> List[Dict[str, Any]]:
# """冰浴冷却的快捷函数"""
# return generate_heat_chill_protocol(
# G=G,
# vessel=vessel,
# temp=0.0,
# time=time,
# stir=True,
# stir_speed=150.0, # 冰浴时缓慢搅拌
# purpose="冰浴冷却到 0°C"
# )
# 测试函数
def test_heatchill_protocol():
"""测试加热/冷却协议的示例"""
print("=== HEAT CHILL PROTOCOL 测试 ===")
print("完整的四个协议函数:")
print("1. generate_heat_chill_protocol - 带时间限制的完整操作")
print("2. generate_heat_chill_start_protocol - 持续加热/冷却")
print("3. generate_heat_chill_stop_protocol - 停止加热/冷却")
print("4. generate_heat_chill_to_temp_protocol - 智能温控 (您的 HeatChillToTemp)")
print("测试完成")
"""测试加热协议"""
debug_print("=== HEATCHILL PROTOCOL 测试 ===")
debug_print("✅ 测试完成")
if __name__ == "__main__":
test_heatchill_protocol()

View File

@@ -0,0 +1,366 @@
import networkx as nx
from typing import List, Dict, Any, Optional
def parse_temperature(temp_str: str) -> float:
"""
解析温度字符串,支持多种格式
Args:
temp_str: 温度字符串(如 "45 °C", "45°C", "45"
Returns:
float: 温度值(摄氏度)
"""
try:
# 移除常见的温度单位和符号
temp_clean = temp_str.replace("°C", "").replace("°", "").replace("C", "").strip()
return float(temp_clean)
except ValueError:
print(f"HYDROGENATE: 无法解析温度 '{temp_str}',使用默认温度 25°C")
return 25.0
def parse_time(time_str: str) -> float:
"""
解析时间字符串,支持多种格式
Args:
time_str: 时间字符串(如 "2 h", "120 min", "7200 s"
Returns:
float: 时间值(秒)
"""
try:
time_clean = time_str.lower().strip()
# 处理小时
if "h" in time_clean:
hours = float(time_clean.replace("h", "").strip())
return hours * 3600.0
# 处理分钟
if "min" in time_clean:
minutes = float(time_clean.replace("min", "").strip())
return minutes * 60.0
# 处理秒
if "s" in time_clean:
seconds = float(time_clean.replace("s", "").strip())
return seconds
# 默认按小时处理
return float(time_clean) * 3600.0
except ValueError:
print(f"HYDROGENATE: 无法解析时间 '{time_str}',使用默认时间 2小时")
return 7200.0 # 2小时
def find_associated_solenoid_valve(G: nx.DiGraph, device_id: str) -> Optional[str]:
"""查找与指定设备相关联的电磁阀"""
solenoid_valves = [
node for node in G.nodes()
if ('solenoid' in (G.nodes[node].get('class') or '').lower()
or 'solenoid_valve' in node)
]
# 通过网络连接查找直接相连的电磁阀
for solenoid in solenoid_valves:
if G.has_edge(device_id, solenoid) or G.has_edge(solenoid, device_id):
return solenoid
# 通过命名规则查找关联的电磁阀
device_type = ""
if 'gas' in device_id.lower():
device_type = "gas"
elif 'h2' in device_id.lower() or 'hydrogen' in device_id.lower():
device_type = "gas"
if device_type:
for solenoid in solenoid_valves:
if device_type in solenoid.lower():
return solenoid
return None
def find_connected_device(G: nx.DiGraph, vessel: str, device_type: str) -> str:
"""
查找与容器相连的指定类型设备
Args:
G: 网络图
vessel: 容器名称
device_type: 设备类型 ('heater', 'stirrer', 'gas_source')
Returns:
str: 设备ID如果没有则返回None
"""
print(f"HYDROGENATE: 正在查找与容器 '{vessel}' 相连的 {device_type}...")
# 根据设备类型定义搜索关键词
if device_type == 'heater':
keywords = ['heater', 'heat', 'heatchill']
device_class = 'virtual_heatchill'
elif device_type == 'stirrer':
keywords = ['stirrer', 'stir']
device_class = 'virtual_stirrer'
elif device_type == 'gas_source':
keywords = ['gas', 'h2', 'hydrogen']
device_class = 'virtual_gas_source'
else:
return None
# 查找设备节点
device_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_name = node.lower()
node_class = node_data.get('class', '').lower()
# 通过名称匹配
if any(keyword in node_name for keyword in keywords):
device_nodes.append(node)
# 通过类型匹配
elif device_class in node_class:
device_nodes.append(node)
print(f"HYDROGENATE: 找到的{device_type}节点: {device_nodes}")
# 检查是否有设备与目标容器相连
for device in device_nodes:
if G.has_edge(device, vessel) or G.has_edge(vessel, device):
print(f"HYDROGENATE: 找到与容器 '{vessel}' 相连的{device_type}: {device}")
return device
# 如果没有直接连接,查找距离最近的设备
for device in device_nodes:
try:
path = nx.shortest_path(G, source=device, target=vessel)
if len(path) <= 3: # 最多2个中间节点
print(f"HYDROGENATE: 找到距离较近的{device_type}: {device}")
return device
except nx.NetworkXNoPath:
continue
print(f"HYDROGENATE: 未找到与容器 '{vessel}' 相连的{device_type}")
return None
def generate_hydrogenate_protocol(
G: nx.DiGraph,
temp: str,
time: str,
vessel: str,
**kwargs # 接收其他可能的参数但不使用
) -> List[Dict[str, Any]]:
"""
生成氢化反应协议序列
Args:
G: 有向图,节点为容器和设备
temp: 反应温度(如 "45 °C"
time: 反应时间(如 "2 h"
vessel: 反应容器
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 解析参数
temperature = parse_temperature(temp)
reaction_time = parse_time(time)
print(f"HYDROGENATE: 开始生成氢化反应协议")
print(f" - 反应温度: {temperature}°C")
print(f" - 反应时间: {reaction_time/3600:.1f} 小时")
print(f" - 反应容器: {vessel}")
# 1. 验证目标容器存在
if vessel not in G.nodes():
print(f"HYDROGENATE: 警告 - 容器 '{vessel}' 不存在于系统中,跳过氢化反应")
return action_sequence
# 2. 查找相连的设备
heater_id = find_connected_device(G, vessel, 'heater')
stirrer_id = find_connected_device(G, vessel, 'stirrer')
gas_source_id = find_connected_device(G, vessel, 'gas_source')
# 3. 启动搅拌器
if stirrer_id:
print(f"HYDROGENATE: 启动搅拌器 {stirrer_id}")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": vessel,
"stir_speed": 300.0,
"purpose": "氢化反应: 开始搅拌"
}
})
else:
print(f"HYDROGENATE: 警告 - 未找到搅拌器,继续执行")
# 4. 启动气源(氢气)- 修复版本
if gas_source_id:
print(f"HYDROGENATE: 启动气源 {gas_source_id} (氢气)")
action_sequence.append({
"device_id": gas_source_id,
"action_name": "set_status", # 修改为 set_status
"action_kwargs": {
"string": "ON" # 修改参数格式
}
})
# 查找相关的电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"HYDROGENATE: 开启气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {
"command": "OPEN"
}
})
else:
print(f"HYDROGENATE: 警告 - 未找到气源,继续执行")
# 5. 等待气体稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 30.0,
"description": "等待氢气环境稳定"
}
})
# 6. 启动加热器
if heater_id:
print(f"HYDROGENATE: 启动加热器 {heater_id}{temperature}°C")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": vessel,
"temp": temperature,
"purpose": f"氢化反应: 加热到 {temperature}°C"
}
})
# 等待温度稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 120.0,
"description": f"等待温度稳定到 {temperature}°C"
}
})
# 保持反应温度
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel,
"temp": temperature,
"time": reaction_time,
"purpose": f"氢化反应: 保持 {temperature}°C反应 {reaction_time/3600:.1f} 小时"
}
})
else:
print(f"HYDROGENATE: 警告 - 未找到加热器,使用室温反应")
# 室温反应,只等待时间
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": reaction_time,
"description": f"室温氢化反应 {reaction_time/3600:.1f} 小时"
}
})
# 7. 停止加热
if heater_id:
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": vessel,
"purpose": "氢化反应完成,停止加热"
}
})
# 8. 等待冷却
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 300.0,
"description": "等待反应混合物冷却"
}
})
# 9. 停止气源 - 修复版本
if gas_source_id:
# 先关闭电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"HYDROGENATE: 关闭气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {
"command": "CLOSED"
}
})
# 再关闭气源
action_sequence.append({
"device_id": gas_source_id,
"action_name": "set_status", # 修改为 set_status
"action_kwargs": {
"string": "OFF" # 修改参数格式
}
})
# 10. 停止搅拌
if stirrer_id:
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {
"vessel": vessel,
"purpose": "氢化反应完成,停止搅拌"
}
})
print(f"HYDROGENATE: 协议生成完成,共 {len(action_sequence)} 个动作")
print(f"HYDROGENATE: 预计总时间: {(reaction_time + 450)/3600:.1f} 小时")
return action_sequence
# 测试函数
def test_hydrogenate_protocol():
"""测试氢化反应协议"""
print("=== HYDROGENATE PROTOCOL 测试 ===")
# 测试温度解析
test_temps = ["45 °C", "45°C", "45", "25 C", "invalid"]
for temp in test_temps:
parsed = parse_temperature(temp)
print(f"温度 '{temp}' -> {parsed}°C")
# 测试时间解析
test_times = ["2 h", "120 min", "7200 s", "2", "invalid"]
for time in test_times:
parsed = parse_time(time)
print(f"时间 '{time}' -> {parsed/3600:.1f} 小时")
print("测试完成")
if __name__ == "__main__":
test_hydrogenate_protocol()

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import networkx as nx
import re
from typing import List, Dict, Any, Tuple, Union
from .pump_protocol import generate_pump_protocol_with_rinsing
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:
return 0.0
# 处理数值输入
if isinstance(volume_input, (int, float)):
result = float(volume_input)
print(f"RECRYSTALLIZE: 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()
print(f"RECRYSTALLIZE: 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
print(f"RECRYSTALLIZE: 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
print(f"RECRYSTALLIZE: 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:
print(f"RECRYSTALLIZE: ⚠️ 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
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
else: # ml, milliliter 或默认
volume = value # 已经是mL
print(f"RECRYSTALLIZE: 体积解析: '{volume_str}'{value} {unit}{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
Args:
ratio_str: 比例字符串(如 "1:1", "3:7", "50:50"
Returns:
Tuple[float, float]: 比例元组 (ratio1, ratio2)
"""
try:
# 处理 "1:1", "3:7", "50:50" 等格式
if ":" in ratio_str:
parts = ratio_str.split(":")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
return ratio1, ratio2
# 处理 "1-1", "3-7" 等格式
if "-" in ratio_str:
parts = ratio_str.split("-")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
return ratio1, ratio2
# 处理 "1,1", "3,7" 等格式
if "," in ratio_str:
parts = ratio_str.split(",")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
return ratio1, ratio2
# 默认 1:1
print(f"RECRYSTALLIZE: 无法解析比例 '{ratio_str}',使用默认比例 1:1")
return 1.0, 1.0
except ValueError:
print(f"RECRYSTALLIZE: 比例解析错误 '{ratio_str}',使用默认比例 1:1")
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
"""
print(f"RECRYSTALLIZE: 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}",
]
# 第一步:通过容器名称匹配
for vessel_name in possible_names:
if vessel_name in G.nodes():
print(f"RECRYSTALLIZE: 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步:通过模糊匹配
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:
print(f"RECRYSTALLIZE: 通过模糊匹配找到容器: {node_id}")
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):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
reagent_name = vessel_data.get('reagent_name', '').lower()
if solvent.lower() in liquid_type or solvent.lower() in reagent_name:
print(f"RECRYSTALLIZE: 通过液体类型匹配找到容器: {node_id}")
return node_id
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器")
def generate_recrystallize_protocol(
G: nx.DiGraph,
ratio: str,
solvent1: str,
solvent2: str,
vessel: str,
volume: Union[str, float], # 🔧 修改:支持字符串和数值
**kwargs
) -> List[Dict[str, Any]]:
"""
生成重结晶协议序列 - 支持单位
Args:
G: 有向图,节点为容器和设备
ratio: 溶剂比例(如 "1:1", "3:7"
solvent1: 第一种溶剂名称
solvent2: 第二种溶剂名称
vessel: 目标容器
volume: 总体积(支持 "100 mL", "50", "2.5 L" 等)
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
print(f"RECRYSTALLIZE: 开始生成重结晶协议(支持单位)")
print(f" - 比例: {ratio}")
print(f" - 溶剂1: {solvent1}")
print(f" - 溶剂2: {solvent2}")
print(f" - 容器: {vessel}")
print(f" - 总体积: {volume} (类型: {type(volume)})")
# 1. 验证目标容器存在
if vessel not in G.nodes():
raise ValueError(f"目标容器 '{vessel}' 不存在于系统中")
# 2. 🔧 新增:解析体积(支持单位)
final_volume = parse_volume_with_units(volume, "mL")
print(f"RECRYSTALLIZE: 解析体积: {volume}{final_volume}mL")
# 3. 解析比例
ratio1, ratio2 = parse_ratio(ratio)
total_ratio = ratio1 + ratio2
# 4. 计算各溶剂体积
volume1 = final_volume * (ratio1 / total_ratio)
volume2 = final_volume * (ratio2 / total_ratio)
print(f"RECRYSTALLIZE: 解析比例: {ratio1}:{ratio2}")
print(f"RECRYSTALLIZE: {solvent1} 体积: {volume1:.2f} mL")
print(f"RECRYSTALLIZE: {solvent2} 体积: {volume2:.2f} mL")
# 5. 查找溶剂容器
try:
solvent1_vessel = find_solvent_vessel(G, solvent1)
print(f"RECRYSTALLIZE: 找到溶剂1容器: {solvent1_vessel}")
except ValueError as e:
raise ValueError(f"无法找到溶剂1 '{solvent1}': {str(e)}")
try:
solvent2_vessel = find_solvent_vessel(G, solvent2)
print(f"RECRYSTALLIZE: 找到溶剂2容器: {solvent2_vessel}")
except ValueError as e:
raise ValueError(f"无法找到溶剂2 '{solvent2}': {str(e)}")
# 6. 验证路径存在
try:
path1 = nx.shortest_path(G, source=solvent1_vessel, target=vessel)
print(f"RECRYSTALLIZE: 溶剂1路径: {''.join(path1)}")
except nx.NetworkXNoPath:
raise ValueError(f"从溶剂1容器 '{solvent1_vessel}' 到目标容器 '{vessel}' 没有可用路径")
try:
path2 = nx.shortest_path(G, source=solvent2_vessel, target=vessel)
print(f"RECRYSTALLIZE: 溶剂2路径: {''.join(path2)}")
except nx.NetworkXNoPath:
raise ValueError(f"从溶剂2容器 '{solvent2_vessel}' 到目标容器 '{vessel}' 没有可用路径")
# 7. 添加第一种溶剂
print(f"RECRYSTALLIZE: 开始添加溶剂1 {volume1:.2f} mL")
try:
pump_actions1 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
to_vessel=vessel,
volume=volume1, # 使用解析后的体积
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重结晶不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0, # 正常流速
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions1)
except Exception as e:
raise ValueError(f"生成溶剂1泵协议时出错: {str(e)}")
# 8. 等待溶剂1稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"description": f"等待溶剂1 {solvent1} 稳定"
}
})
# 9. 添加第二种溶剂
print(f"RECRYSTALLIZE: 开始添加溶剂2 {volume2:.2f} mL")
try:
pump_actions2 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
to_vessel=vessel,
volume=volume2, # 使用解析后的体积
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重结晶不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0, # 正常流速
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions2)
except Exception as e:
raise ValueError(f"生成溶剂2泵协议时出错: {str(e)}")
# 10. 等待溶剂2稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"description": f"等待溶剂2 {solvent2} 稳定"
}
})
# 11. 等待重结晶完成
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 600.0, # 等待10分钟进行重结晶
"description": f"等待重结晶完成({solvent1}:{solvent2} = {ratio},总体积 {final_volume}mL"
}
})
print(f"RECRYSTALLIZE: 协议生成完成,共 {len(action_sequence)} 个动作")
print(f"RECRYSTALLIZE: 预计总时间: {620/60:.1f} 分钟")
print(f"RECRYSTALLIZE: 总体积: {final_volume}mL")
return action_sequence
# 测试函数
def test_recrystallize_protocol():
"""测试重结晶协议"""
print("=== RECRYSTALLIZE PROTOCOL 测试 ===")
# 测试比例解析
test_ratios = ["1:1", "3:7", "50:50", "1-1", "2,8", "invalid"]
for ratio in test_ratios:
r1, r2 = parse_ratio(ratio)
print(f"比例 '{ratio}' -> {r1}:{r2}")
print("测试完成")
if __name__ == "__main__":
test_recrystallize_protocol()

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import networkx as nx
from typing import List, Dict, Any
from .pump_protocol import generate_pump_protocol_with_rinsing
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器,支持多种匹配模式
Args:
G: 网络图
solvent: 溶剂名称(如 "methanol", "ethanol", "water"
Returns:
str: 溶剂容器ID
"""
print(f"RESET_HANDLING: 正在查找溶剂 '{solvent}' 的容器...")
# 构建可能的容器名称
possible_names = [
f"flask_{solvent}", # flask_methanol
f"bottle_{solvent}", # bottle_methanol
f"reagent_{solvent}", # reagent_methanol
f"reagent_bottle_{solvent}", # reagent_bottle_methanol
f"{solvent}_flask", # methanol_flask
f"{solvent}_bottle", # methanol_bottle
f"{solvent}", # methanol
f"vessel_{solvent}", # vessel_methanol
]
# 第一步:通过容器名称匹配
for vessel_name in possible_names:
if vessel_name in G.nodes():
print(f"RESET_HANDLING: 通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步:通过模糊匹配
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
# 检查是否包含溶剂名称
if solvent.lower() in node_id.lower() or solvent.lower() in node_name:
print(f"RESET_HANDLING: 通过模糊匹配找到容器: {node_id}")
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):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
reagent_name = vessel_data.get('reagent_name', '').lower()
if solvent.lower() in liquid_type or solvent.lower() in reagent_name:
print(f"RESET_HANDLING: 通过液体类型匹配找到容器: {node_id}")
return node_id
# 列出可用容器帮助调试
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
print(f"RESET_HANDLING: 可用容器列表:")
for container in available_containers:
print(f" - {container['id']}: {container['name']}")
print(f" 液体: {container['liquids']}")
print(f" 试剂: {container['reagent_name']}")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器。尝试了: {possible_names}")
def generate_reset_handling_protocol(
G: nx.DiGraph,
solvent: str,
**kwargs # 接收其他可能的参数但不使用
) -> List[Dict[str, Any]]:
"""
生成重置处理协议序列
Args:
G: 有向图,节点为容器和设备
solvent: 溶剂名称从XDL传入
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 固定参数
target_vessel = "main_reactor" # 默认目标容器
volume = 100.0 # 默认体积 100 mL
print(f"RESET_HANDLING: 开始生成重置处理协议")
print(f" - 溶剂: {solvent}")
print(f" - 目标容器: {target_vessel}")
print(f" - 体积: {volume} mL")
# 1. 验证目标容器存在
if target_vessel not in G.nodes():
raise ValueError(f"目标容器 '{target_vessel}' 不存在于系统中")
# 2. 查找溶剂容器
try:
solvent_vessel = find_solvent_vessel(G, solvent)
print(f"RESET_HANDLING: 找到溶剂容器: {solvent_vessel}")
except ValueError as e:
raise ValueError(f"无法找到溶剂 '{solvent}': {str(e)}")
# 3. 验证路径存在
try:
path = nx.shortest_path(G, source=solvent_vessel, target=target_vessel)
print(f"RESET_HANDLING: 找到路径: {''.join(path)}")
except nx.NetworkXNoPath:
raise ValueError(f"从溶剂容器 '{solvent_vessel}' 到目标容器 '{target_vessel}' 没有可用路径")
# 4. 使用pump_protocol转移溶剂
print(f"RESET_HANDLING: 开始转移溶剂 {volume} mL")
try:
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
to_vessel=target_vessel,
volume=volume,
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重置处理不需要清洗
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.5, # 正常流速
transfer_flowrate=0.5 # 正常转移流速
)
action_sequence.extend(pump_actions)
except Exception as e:
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 5. 等待溶剂稳定
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0,
"description": f"等待溶剂 {solvent} 稳定"
}
})
print(f"RESET_HANDLING: 协议生成完成,共 {len(action_sequence)} 个动作")
print(f"RESET_HANDLING: 已添加 {volume} mL {solvent}{target_vessel}")
return action_sequence
# 测试函数
def test_reset_handling_protocol():
"""测试重置处理协议"""
print("=== RESET HANDLING PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_reset_handling_protocol()

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@@ -1,312 +1,668 @@
from typing import List, Dict, Any
from typing import List, Dict, Any, Union
import networkx as nx
from .pump_protocol import generate_pump_protocol
import logging
import re
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""获取容器中的液体体积"""
if vessel not in G.nodes():
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:
"""
解析百分比字符串为数值
Args:
pct_str: 百分比字符串(如 "40 %", "40%", "40"
Returns:
float: 百分比数值0-100
"""
if not pct_str or not pct_str.strip():
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
pct_str = pct_str.strip().lower()
debug_print(f"解析百分比: '{pct_str}'")
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式:新格式 (name, volume) 和旧格式 (liquid_type, liquid_volume)
volume = liquid.get('volume') or liquid.get('liquid_volume', 0.0)
total_volume += volume
# 移除百分号和空格
pct_clean = re.sub(r'[%\s]', '', pct_str)
return total_volume
# 提取数字
match = re.search(r'([0-9]*\.?[0-9]+)', pct_clean)
if match:
value = float(match.group(1))
debug_print(f"百分比解析结果: {value}%")
return value
debug_print(f"⚠️ 无法解析百分比: '{pct_str}'返回0.0")
return 0.0
def parse_ratio(ratio_str: str) -> tuple:
"""
解析比例字符串为两个数值
Args:
ratio_str: 比例字符串(如 "5:95", "1:1", "40:60"
Returns:
tuple: (ratio1, ratio2) 两个比例值
"""
if not ratio_str or not ratio_str.strip():
return (50.0, 50.0) # 默认1:1
ratio_str = ratio_str.strip()
debug_print(f"解析比例: '{ratio_str}'")
# 支持多种分隔符:: / -
if ':' in ratio_str:
parts = ratio_str.split(':')
elif '/' in ratio_str:
parts = ratio_str.split('/')
elif '-' in ratio_str:
parts = ratio_str.split('-')
elif 'to' in ratio_str.lower():
parts = ratio_str.lower().split('to')
else:
debug_print(f"⚠️ 无法解析比例格式: '{ratio_str}'使用默认1:1")
return (50.0, 50.0)
if len(parts) >= 2:
try:
ratio1 = float(parts[0].strip())
ratio2 = float(parts[1].strip())
total = ratio1 + ratio2
# 转换为百分比
pct1 = (ratio1 / total) * 100
pct2 = (ratio2 / total) * 100
debug_print(f"比例解析结果: {ratio1}:{ratio2} -> {pct1:.1f}%:{pct2:.1f}%")
return (pct1, pct2)
except ValueError as e:
debug_print(f"⚠️ 比例数值转换失败: {str(e)}")
debug_print(f"⚠️ 比例解析失败使用默认1:1")
return (50.0, 50.0)
def find_column_device(G: nx.DiGraph, column: str) -> str:
def parse_rf_value(rf_str: str) -> float:
"""
解析Rf值字符串
Args:
rf_str: Rf值字符串"0.3", "0.45", "?"
Returns:
float: Rf值0-1
"""
if not rf_str or not rf_str.strip():
return 0.3 # 默认Rf值
rf_str = rf_str.strip().lower()
debug_print(f"解析Rf值: '{rf_str}'")
# 处理未知Rf值
if rf_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_rf = 0.3
debug_print(f"检测到未知Rf值使用默认值: {default_rf}")
return default_rf
# 提取数字
match = re.search(r'([0-9]*\.?[0-9]+)', rf_str)
if match:
value = float(match.group(1))
# 确保Rf值在0-1范围内
if value > 1.0:
value = value / 100.0 # 可能是百分比形式
value = max(0.0, min(1.0, value)) # 限制在0-1范围
debug_print(f"Rf值解析结果: {value}")
return value
debug_print(f"⚠️ 无法解析Rf值: '{rf_str}'使用默认值0.3")
return 0.3
def find_column_device(G: nx.DiGraph) -> str:
"""查找柱层析设备"""
# 首先检查是否有虚拟柱设备
column_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_column']
debug_print("查找柱层析设备...")
if column_nodes:
return column_nodes[0]
# 查找虚拟柱设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_column' in node_class.lower() or 'column' in node_class.lower():
debug_print(f"✅ 找到柱层析设备: {node}")
return node
# 如果没有虚拟设备,抛出异常
raise ValueError(f"系统中未找到柱层析设备。请确保配置了 virtual_column 设备")
# 如果没有找到,尝试创建虚拟设备名称
possible_names = ['column_1', 'virtual_column_1', 'chromatography_column_1']
for name in possible_names:
if name in G.nodes():
debug_print(f"✅ 找到柱设备: {name}")
return name
debug_print("⚠️ 未找到柱层析设备将使用pump protocol直接转移")
return ""
def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"""查找柱容器"""
# 直接使用 column 参数作为容器名称
if column in G.nodes():
return column
debug_print(f"查找柱容器: '{column}'")
# 尝试常见的柱容器命名规则
# 直接检查column参数是否是容器
if column in G.nodes():
node_type = G.nodes[column].get('type', '')
if node_type == 'container':
debug_print(f"✅ 找到柱容器: {column}")
return column
# 尝试常见的命名规则
possible_names = [
f"column_{column}",
f"{column}_column",
f"{column}_column",
f"vessel_{column}",
f"{column}_vessel",
"column_vessel",
"chromatography_column",
"silica_column",
"preparative_column"
"preparative_column",
"column"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 找到柱容器: {vessel_name}")
return vessel_name
raise ValueError(f"未找到柱容器 '{column}'。尝试了以下名称: {[column] + possible_names}")
debug_print(f"⚠️ 未找到柱容器,将直接在源容器中进行分离")
return ""
def find_eluting_solvent_vessel(G: nx.DiGraph, eluting_solvent: str) -> str:
"""查找洗脱溶剂容器"""
if not eluting_solvent:
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器 - 增强版"""
if not solvent or not solvent.strip():
return ""
# 按照命名规则查找溶剂瓶
solvent_vessel_id = f"flask_{eluting_solvent}"
solvent = solvent.strip().replace(' ', '_').lower()
debug_print(f"查找溶剂容器: '{solvent}'")
if solvent_vessel_id in G.nodes():
return solvent_vessel_id
# 如果直接匹配失败,尝试模糊匹配
# 🔧 方法1直接搜索 data.reagent_name
for node in G.nodes():
if node.startswith('flask_') and eluting_solvent.lower() in node.lower():
return node
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
reagent_config = G.nodes[node].get('config', {}).get('reagent', '').lower()
# 检查 data.reagent_name 和 config.reagent
if reagent_name == solvent or reagent_config == solvent:
debug_print(f"✅ 通过reagent_name找到溶剂容器: {node} (reagent: {reagent_name or reagent_config})")
return node
# 模糊匹配 reagent_name
if solvent in reagent_name or reagent_name in solvent:
debug_print(f"✅ 通过reagent_name模糊匹配到溶剂容器: {node} (reagent: {reagent_name})")
return node
if solvent in reagent_config or reagent_config in solvent:
debug_print(f"✅ 通过config.reagent模糊匹配到溶剂容器: {node} (reagent: {reagent_config})")
return node
# 如果还是找不到,列出所有可用的溶剂瓶
available_flasks = [node for node in G.nodes()
if node.startswith('flask_')
and G.nodes[node].get('type') == 'container']
# 🔧 方法2常见的溶剂容器命名规则
possible_names = [
f"flask_{solvent}",
f"bottle_{solvent}",
f"reagent_{solvent}",
f"{solvent}_bottle",
f"{solvent}_flask",
f"solvent_{solvent}",
f"reagent_bottle_{solvent}"
]
raise ValueError(f"找不到洗脱溶剂 '{eluting_solvent}' 对应的溶剂瓶。可用溶剂瓶: {available_flasks}")
for vessel_name in possible_names:
if vessel_name in G.nodes():
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到溶剂容器: {vessel_name}")
return vessel_name
# 🔧 方法3节点名称模糊匹配
for node in G.nodes():
node_type = G.nodes[node].get('type', '')
if node_type == 'container':
if ('flask_' in node or 'bottle_' in node or 'reagent_' in node) and solvent in node.lower():
debug_print(f"✅ 通过节点名称模糊匹配到溶剂容器: {node}")
return node
# 🔧 方法4特殊溶剂名称映射
solvent_mapping = {
'dmf': ['dmf', 'dimethylformamide', 'n,n-dimethylformamide'],
'ethyl_acetate': ['ethyl_acetate', 'ethylacetate', 'etoac', 'ea'],
'hexane': ['hexane', 'hexanes', 'n-hexane'],
'methanol': ['methanol', 'meoh', 'ch3oh'],
'water': ['water', 'h2o', 'distilled_water'],
'acetone': ['acetone', 'ch3coch3', '2-propanone'],
'dichloromethane': ['dichloromethane', 'dcm', 'ch2cl2', 'methylene_chloride'],
'chloroform': ['chloroform', 'chcl3', 'trichloromethane']
}
# 查找映射的同义词
for canonical_name, synonyms in solvent_mapping.items():
if solvent in synonyms:
debug_print(f"检测到溶剂同义词: '{solvent}' -> '{canonical_name}'")
return find_solvent_vessel(G, canonical_name) # 递归搜索
debug_print(f"⚠️ 未找到溶剂 '{solvent}' 的容器")
return ""
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""获取容器中的液体体积 - 增强版"""
if vessel not in G.nodes():
debug_print(f"⚠️ 节点 '{vessel}' 不存在")
return 0.0
node_type = G.nodes[vessel].get('type', '')
vessel_data = G.nodes[vessel].get('data', {})
debug_print(f"读取节点 '{vessel}' (类型: {node_type}) 体积数据: {vessel_data}")
# 🔧 如果是设备类型,尝试查找关联的容器
if node_type == 'device':
debug_print(f"'{vessel}' 是设备,尝试查找关联容器...")
# 查找是否有内置容器数据
config_data = G.nodes[vessel].get('config', {})
if 'volume' in config_data:
default_volume = config_data.get('volume', 100.0)
debug_print(f"使用设备默认容量: {default_volume}mL")
return default_volume
# 对于旋蒸等设备,使用默认值
if 'rotavap' in vessel.lower():
default_volume = 100.0
debug_print(f"旋蒸设备使用默认容量: {default_volume}mL")
return default_volume
debug_print(f"⚠️ 设备 '{vessel}' 无法确定容量返回0")
return 0.0
# 🔧 如果是容器类型,正常读取体积
total_volume = 0.0
# 方法1检查液体列表
liquids = vessel_data.get('liquid', [])
if isinstance(liquids, list):
for liquid in liquids:
if isinstance(liquid, dict):
volume = liquid.get('volume') or liquid.get('liquid_volume', 0.0)
total_volume += volume
# 方法2检查直接体积字段
if total_volume == 0.0:
volume_keys = ['current_volume', 'total_volume', 'volume', 'liquid_volume']
for key in volume_keys:
if key in vessel_data:
try:
total_volume = float(vessel_data[key])
if total_volume > 0:
break
except (ValueError, TypeError):
continue
# 方法3检查配置中的初始体积
if total_volume == 0.0:
config_data = G.nodes[vessel].get('config', {})
if 'current_volume' in config_data:
try:
total_volume = float(config_data['current_volume'])
except (ValueError, TypeError):
pass
debug_print(f"容器 '{vessel}' 总体积: {total_volume}mL")
return total_volume
def calculate_solvent_volumes(total_volume: float, pct1: float, pct2: float) -> tuple:
"""根据百分比计算溶剂体积"""
volume1 = (total_volume * pct1) / 100.0
volume2 = (total_volume * pct2) / 100.0
debug_print(f"溶剂体积计算: 总体积{total_volume}mL")
debug_print(f" - 溶剂1: {pct1}% = {volume1}mL")
debug_print(f" - 溶剂2: {pct2}% = {volume2}mL")
return (volume1, volume2)
def generate_run_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column: str
column: str,
rf: str = "",
pct1: str = "",
pct2: str = "",
solvent1: str = "",
solvent2: str = "",
ratio: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成柱层析分离的协议序列
生成柱层析分离的协议序列 - 增强版
支持新版XDL的所有参数具有高兼容性和容错性
Args:
G: 有向图,节点为设备和容器,边为流体管道
from_vessel: 源容器的名称,即样品起始所在的容器
to_vessel: 目标容器的名称,分离后的样品要到达的容器
column: 所使用的柱子的名称
from_vessel: 源容器的名称,即样品起始所在的容器(必需)
to_vessel: 目标容器的名称,分离后的样品要到达的容器(必需)
column: 所使用的柱子的名称(必需)
rf: Rf值可选支持 "?" 表示未知)
pct1: 第一种溶剂百分比(如 "40 %",可选)
pct2: 第二种溶剂百分比(如 "50 %",可选)
solvent1: 第一种溶剂名称(可选)
solvent2: 第二种溶剂名称(可选)
ratio: 溶剂比例(如 "5:95"可选优先级高于pct1/pct2
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 柱层析分离操作的动作序列
"""
debug_print("=" * 60)
debug_print("开始生成柱层析协议")
debug_print(f"输入参数:")
debug_print(f" - from_vessel: '{from_vessel}'")
debug_print(f" - to_vessel: '{to_vessel}'")
debug_print(f" - column: '{column}'")
debug_print(f" - rf: '{rf}'")
debug_print(f" - pct1: '{pct1}'")
debug_print(f" - pct2: '{pct2}'")
debug_print(f" - solvent1: '{solvent1}'")
debug_print(f" - solvent2: '{solvent2}'")
debug_print(f" - ratio: '{ratio}'")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 60)
action_sequence = []
print(f"RUN_COLUMN: 开始生成柱层析协议")
print(f" - 源容器: {from_vessel}")
print(f" - 目标容器: {to_vessel}")
print(f" - 柱子: {column}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
if not from_vessel:
raise ValueError("from_vessel 参数不能为空")
if not to_vessel:
raise ValueError("to_vessel 参数不能为空")
if not column:
raise ValueError("column 参数不能为空")
# 验证源容器和目标容器存在
if from_vessel not in G.nodes():
raise ValueError(f"源容器 '{from_vessel}' 不存在于系统中")
if to_vessel not in G.nodes():
raise ValueError(f"目标容器 '{to_vessel}' 不存在于系统中")
# 查找柱层析设备
column_device_id = None
column_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_column']
debug_print("✅ 基本参数验证通过")
if column_nodes:
column_device_id = column_nodes[0]
print(f"RUN_COLUMN: 找到柱层析设备: {column_device_id}")
# === 参数解析 ===
debug_print("步骤2: 参数解析...")
# 解析Rf值
final_rf = parse_rf_value(rf)
debug_print(f"最终Rf值: {final_rf}")
# 解析溶剂比例ratio优先级高于pct1/pct2
if ratio and ratio.strip():
final_pct1, final_pct2 = parse_ratio(ratio)
debug_print(f"使用ratio参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
else:
print(f"RUN_COLUMN: 警告 - 未找到柱层析设备")
final_pct1 = parse_percentage(pct1) if pct1 else 50.0
final_pct2 = parse_percentage(pct2) if pct2 else 50.0
# 如果百分比和不是100%,进行归一化
total_pct = final_pct1 + final_pct2
if total_pct == 0:
final_pct1, final_pct2 = 50.0, 50.0
elif total_pct != 100.0:
final_pct1 = (final_pct1 / total_pct) * 100
final_pct2 = (final_pct2 / total_pct) * 100
debug_print(f"使用百分比参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
# 设置默认溶剂(如果未指定)
final_solvent1 = solvent1.strip() if solvent1 else "ethyl_acetate"
final_solvent2 = solvent2.strip() if solvent2 else "hexane"
debug_print(f"最终溶剂: {final_solvent1} : {final_solvent2}")
# === 查找设备和容器 ===
debug_print("步骤3: 查找设备和容器...")
# 查找柱层析设备
column_device_id = find_column_device(G)
# 查找柱容器
column_vessel = find_column_vessel(G, column)
# 查找溶剂容器
solvent1_vessel = find_solvent_vessel(G, final_solvent1)
solvent2_vessel = find_solvent_vessel(G, final_solvent2)
debug_print(f"设备映射:")
debug_print(f" - 柱设备: '{column_device_id}'")
debug_print(f" - 柱容器: '{column_vessel}'")
debug_print(f" - 溶剂1容器: '{solvent1_vessel}'")
debug_print(f" - 溶剂2容器: '{solvent2_vessel}'")
# === 获取源容器体积 ===
debug_print("步骤4: 获取源容器体积...")
# 获取源容器中的液体体积
source_volume = get_vessel_liquid_volume(G, from_vessel)
print(f"RUN_COLUMN: 源容器 {from_vessel} 中有 {source_volume} mL 液体")
if source_volume <= 0:
source_volume = 100.0 # 默认体积
debug_print(f"⚠️ 无法获取源容器体积,使用默认值: {source_volume}mL")
else:
debug_print(f"✅ 源容器体积: {source_volume}mL")
# === 第一步:样品转移到柱子(如果柱子是容器) ===
if column in G.nodes() and G.nodes[column].get('type') == 'container':
print(f"RUN_COLUMN: 样品转移 - {source_volume} mL 从 {from_vessel}{column}")
try:
sample_transfer_actions = generate_pump_protocol(
G=G,
from_vessel=from_vessel,
to_vessel=column,
volume=source_volume if source_volume > 0 else 100.0,
flowrate=2.0
)
action_sequence.extend(sample_transfer_actions)
except Exception as e:
print(f"RUN_COLUMN: 样品转移失败: {str(e)}")
# === 计算溶剂体积 ===
debug_print("步骤5: 计算溶剂体积...")
# === 第二步:使用柱层析设备执行分离 ===
if column_device_id:
print(f"RUN_COLUMN: 使用柱层析设备执行分离")
# 洗脱溶剂通常是样品体积的2-5倍
total_elution_volume = source_volume * 3.0
solvent1_volume, solvent2_volume = calculate_solvent_volumes(
total_elution_volume, final_pct1, final_pct2
)
# === 执行柱层析流程 ===
debug_print("步骤6: 执行柱层析流程...")
try:
# 步骤6.1: 样品上柱(如果有独立的柱容器)
if column_vessel and column_vessel != from_vessel:
debug_print(f"6.1: 样品上柱 - {source_volume}mL 从 {from_vessel}{column_vessel}")
try:
sample_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel,
to_vessel=column_vessel,
volume=source_volume,
flowrate=1.0, # 慢速上柱
transfer_flowrate=0.5,
rinsing_solvent="", # 暂不冲洗
rinsing_volume=0.0,
rinsing_repeats=0
)
action_sequence.extend(sample_transfer_actions)
debug_print(f"✅ 样品上柱完成,添加了 {len(sample_transfer_actions)} 个动作")
except Exception as e:
debug_print(f"⚠️ 样品上柱失败: {str(e)}")
column_separation_action = {
"device_id": column_device_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"column": column
# 步骤6.2: 添加洗脱溶剂1如果有溶剂容器
if solvent1_vessel and solvent1_volume > 0:
debug_print(f"6.2: 添加洗脱溶剂1 - {solvent1_volume:.1f}mL {final_solvent1}")
try:
target_vessel = column_vessel if column_vessel else from_vessel
solvent1_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
to_vessel=target_vessel,
volume=solvent1_volume,
flowrate=2.0,
transfer_flowrate=1.0
)
action_sequence.extend(solvent1_transfer_actions)
debug_print(f"✅ 溶剂1添加完成添加了 {len(solvent1_transfer_actions)} 个动作")
except Exception as e:
debug_print(f"⚠️ 溶剂1添加失败: {str(e)}")
# 步骤6.3: 添加洗脱溶剂2如果有溶剂容器
if solvent2_vessel and solvent2_volume > 0:
debug_print(f"6.3: 添加洗脱溶剂2 - {solvent2_volume:.1f}mL {final_solvent2}")
try:
target_vessel = column_vessel if column_vessel else from_vessel
solvent2_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
to_vessel=target_vessel,
volume=solvent2_volume,
flowrate=2.0,
transfer_flowrate=1.0
)
action_sequence.extend(solvent2_transfer_actions)
debug_print(f"✅ 溶剂2添加完成添加了 {len(solvent2_transfer_actions)} 个动作")
except Exception as e:
debug_print(f"⚠️ 溶剂2添加失败: {str(e)}")
# 步骤6.4: 使用柱层析设备执行分离(如果有设备)
if column_device_id:
debug_print(f"6.4: 使用柱层析设备执行分离")
column_separation_action = {
"device_id": column_device_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"column": column,
"rf": rf,
"pct1": pct1,
"pct2": pct2,
"solvent1": solvent1,
"solvent2": solvent2,
"ratio": ratio
}
}
}
action_sequence.append(column_separation_action)
# 等待柱层析设备完成分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 60}
})
# === 第三步:从柱子转移到目标容器(如果需要) ===
if column in G.nodes() and column != to_vessel:
print(f"RUN_COLUMN: 产物转移 - 从 {column}{to_vessel}")
try:
product_transfer_actions = generate_pump_protocol(
G=G,
from_vessel=column,
to_vessel=to_vessel,
volume=source_volume * 0.8 if source_volume > 0 else 80.0, # 假设有一些损失
flowrate=1.5
)
action_sequence.extend(product_transfer_actions)
except Exception as e:
print(f"RUN_COLUMN: 产物转移失败: {str(e)}")
print(f"RUN_COLUMN: 生成了 {len(action_sequence)} 个动作")
return action_sequence
# 便捷函数:常用柱层析方案
def generate_flash_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
mobile_phase: str = "ethyl_acetate",
mobile_phase_volume: float = 100.0
) -> List[Dict[str, Any]]:
"""快速柱层析:高流速分离"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
mobile_phase, mobile_phase_volume, 1, "", 0.0, 3.0
)
def generate_preparative_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
equilibration_solvent: str = "hexane",
eluting_solvent: str = "ethyl_acetate",
eluting_volume: float = 50.0,
eluting_repeats: int = 3
) -> List[Dict[str, Any]]:
"""制备柱层析:带平衡和多次洗脱"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
eluting_solvent, eluting_volume, eluting_repeats,
equilibration_solvent, 30.0, 1.5
)
def generate_gradient_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
gradient_solvents: List[str] = None,
gradient_volumes: List[float] = None
) -> List[Dict[str, Any]]:
"""梯度洗脱柱层析:多种溶剂系统"""
if gradient_solvents is None:
gradient_solvents = ["hexane", "ethyl_acetate", "methanol"]
if gradient_volumes is None:
gradient_volumes = [50.0, 50.0, 30.0]
action_sequence = []
# 每种溶剂单独执行一次柱层析
for i, (solvent, volume) in enumerate(zip(gradient_solvents, gradient_volumes)):
print(f"RUN_COLUMN: 梯度洗脱第 {i+1}/{len(gradient_solvents)} 步: {volume} mL {solvent}")
# 第一步使用源容器,后续步骤使用柱子作为源
step_from_vessel = from_vessel if i == 0 else column_material
# 最后一步使用目标容器,其他步骤使用柱子作为目标
step_to_vessel = to_vessel if i == len(gradient_solvents) - 1 else column_material
step_actions = generate_run_column_protocol(
G, step_from_vessel, step_to_vessel, column_material,
solvent, volume, 1, "", 0.0, 1.0
)
action_sequence.extend(step_actions)
# 在梯度步骤之间加入等待时间
if i < len(gradient_solvents) - 1:
action_sequence.append(column_separation_action)
debug_print(f"✅ 柱层析设备动作已添加")
# 等待分离完成
separation_time = max(30, int(total_elution_volume / 2)) # 基于体积估算时间
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 20}
"action_kwargs": {"time": separation_time}
})
debug_print(f"✅ 等待分离完成: {separation_time}")
# 步骤6.5: 产物收集(从柱容器到目标容器)
if column_vessel and column_vessel != to_vessel:
debug_print(f"6.5: 产物收集 - 从 {column_vessel}{to_vessel}")
try:
# 估算产物体积原始样品体积的70-90%
product_volume = source_volume * 0.8
product_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=column_vessel,
to_vessel=to_vessel,
volume=product_volume,
flowrate=1.5,
transfer_flowrate=0.8
)
action_sequence.extend(product_transfer_actions)
debug_print(f"✅ 产物收集完成,添加了 {len(product_transfer_actions)} 个动作")
except Exception as e:
debug_print(f"⚠️ 产物收集失败: {str(e)}")
# 步骤6.6: 如果没有独立的柱设备和容器,执行简化的直接转移
if not column_device_id and not column_vessel:
debug_print(f"6.6: 简化模式 - 直接转移 {source_volume}mL 从 {from_vessel}{to_vessel}")
try:
direct_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel,
to_vessel=to_vessel,
volume=source_volume,
flowrate=2.0,
transfer_flowrate=1.0
)
action_sequence.extend(direct_transfer_actions)
debug_print(f"✅ 直接转移完成,添加了 {len(direct_transfer_actions)} 个动作")
except Exception as e:
debug_print(f"⚠️ 直接转移失败: {str(e)}")
except Exception as e:
debug_print(f"❌ 柱层析流程执行失败: {str(e)}")
# 添加错误日志动作
action_sequence.append({
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"柱层析失败: {str(e)}"
}
})
# === 最终结果 ===
debug_print("=" * 60)
debug_print(f"✅ 柱层析协议生成完成")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"📋 参数总结:")
debug_print(f" - 源容器: {from_vessel} ({source_volume}mL)")
debug_print(f" - 目标容器: {to_vessel}")
debug_print(f" - 柱子: {column}")
debug_print(f" - Rf值: {final_rf}")
debug_print(f" - 溶剂比例: {final_solvent1} {final_pct1:.1f}% : {final_solvent2} {final_pct2:.1f}%")
debug_print(f" - 洗脱体积: {solvent1_volume:.1f}mL + {solvent2_volume:.1f}mL")
debug_print("=" * 60)
return action_sequence
# === 便捷函数 ===
def generate_silica_gel_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
**kwargs
) -> List[Dict[str, Any]]:
"""硅胶柱层析协议便捷函数"""
return generate_run_column_protocol(
G, from_vessel, to_vessel,
column="silica_column",
solvent1="ethyl_acetate",
solvent2="hexane",
ratio="1:9", # 常见的EA:Hex比例
**kwargs
)
def generate_reverse_phase_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "C18",
aqueous_phase: str = "water",
organic_phase: str = "methanol",
gradient_ratio: float = 0.5
**kwargs
) -> List[Dict[str, Any]]:
"""反相柱层析C18柱水-有机相梯度"""
# 先用水相平衡
equilibration_volume = 20.0
# 然后用有机相洗脱
eluting_volume = 30.0 * gradient_ratio
"""反相柱层析协议便捷函数"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
organic_phase, eluting_volume, 2,
aqueous_phase, equilibration_volume, 0.8
G, from_vessel, to_vessel,
column="c18_column",
solvent1="methanol",
solvent2="water",
ratio="7:3", # 常见的MeOH:H2O比例
**kwargs
)
def generate_ion_exchange_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "ion_exchange",
buffer_solution: str = "buffer",
salt_solution: str = "NaCl_solution",
salt_volume: float = 40.0
) -> List[Dict[str, Any]]:
"""离子交换柱层析:缓冲液平衡,盐溶液洗脱"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
salt_solution, salt_volume, 1,
buffer_solution, 25.0, 0.5
)
# 测试函数
def test_run_column_protocol():
"""测试柱层析协议的示例"""
print("=== RUN COLUMN PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_run_column_protocol()

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@@ -1,230 +1,448 @@
import numpy as np
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
print(f"[SEPARATE] {message}", flush=True)
logger.info(f"[SEPARATE] {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 "200 mL", "?", 50.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
return float(volume_input)
if not volume_input or not str(volume_input).strip():
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 = 100.0 # 默认100mL
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100mL")
return 100.0
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
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"体积转换: {value}{unit}{volume}mL")
return volume
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器"""
if not solvent or not solvent.strip():
return ""
debug_print(f"查找溶剂 '{solvent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
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 == solvent.lower() or config_reagent == solvent.lower():
debug_print(f"✅ 通过reagent字段找到容器: {node}")
return node
# 模糊匹配
if (solvent.lower() in reagent_name and reagent_name) or \
(solvent.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
solvent_clean = solvent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
f"flask_{solvent_clean}",
f"bottle_{solvent_clean}",
f"vessel_{solvent_clean}",
f"{solvent_clean}_flask",
f"{solvent_clean}_bottle",
f"solvent_{solvent_clean}",
f"reagent_{solvent_clean}",
f"reagent_bottle_{solvent_clean}"
]
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使用第一个试剂瓶作为备选
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,使用备选容器: {node_id}")
return node_id
debug_print(f"⚠️ 未找到溶剂 '{solvent}' 的容器")
return ""
def find_separator_device(G: nx.DiGraph, vessel: str) -> str:
"""查找分离器设备"""
debug_print(f"查找容器 '{vessel}' 对应的分离器设备...")
# 方法1查找连接到容器的分离器设备
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'separator' in node_class:
# 检查是否连接到目标容器
if G.has_edge(node, vessel) or G.has_edge(vessel, node):
debug_print(f"✅ 找到连接的分离器: {node}")
return node
# 方法2根据命名规则查找
possible_names = [
f"{vessel}_controller",
f"{vessel}_separator",
vessel, # 容器本身可能就是分离器
"separator_1",
"virtual_separator"
]
for name in possible_names:
if name in G.nodes():
node_class = G.nodes[name].get('class', '').lower()
if 'separator' in node_class:
debug_print(f"✅ 通过命名规则找到分离器: {name}")
return name
# 方法3查找第一个分离器设备
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'separator' in node_class:
debug_print(f"⚠️ 使用第一个分离器设备: {node}")
return node
debug_print(f"⚠️ 未找到分离器设备")
return ""
def generate_separate_protocol(
G: nx.DiGraph,
purpose: str, # 'wash' or 'extract'. 'wash' means that product phase will not be the added solvent phase, 'extract' means product phase will be the added solvent phase. If no solvent is added just use 'extract'.
product_phase: str, # 'top' or 'bottom'. Phase that product will be in.
from_vessel: str, #Contents of from_vessel are transferred to separation_vessel and separation is performed.
separation_vessel: str, # Vessel in which separation of phases will be carried out.
to_vessel: str, # Vessel to send product phase to.
waste_phase_to_vessel: str, # Optional. Vessel to send waste phase to.
solvent: str, # Optional. Solvent to add to separation vessel after contents of from_vessel has been transferred to create two phases.
solvent_volume: float = 50, # Optional. Volume of solvent to add (mL).
through: str = "", # Optional. Solid chemical to send product phase through on way to to_vessel, e.g. 'celite'.
repeats: int = 1, # Optional. Number of separations to perform.
stir_time: float = 30, # Optional. Time stir for after adding solvent, before separation of phases.
stir_speed: float = 300, # Optional. Speed to stir at after adding solvent, before separation of phases.
settling_time: float = 300 # Optional. Time
) -> list[dict]:
G: nx.DiGraph,
# 🔧 基础参数支持XDL的vessel参数
vessel: str = "", # XDL: 分离容器
purpose: str = "separate", # 分离目的
product_phase: str = "top", # 产物相
# 🔧 可选的详细参数
from_vessel: str = "", # 源容器通常在separate前已经transfer了
separation_vessel: str = "", # 分离容器与vessel同义
to_vessel: str = "", # 目标容器(可选)
waste_phase_to_vessel: str = "", # 废相目标容器
product_vessel: str = "", # XDL: 产物容器与to_vessel同义
waste_vessel: str = "", # 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]]:
"""
Generate a protocol to clean a vessel with a solvent.
生成分离操作的协议序列 - 修复版
:param G: Directed graph. Nodes are containers and pumps, edges are fluidic connections.
:param vessel: Vessel to clean.
:param solvent: Solvent to clean vessel with.
:param volume: Volume of solvent to clean vessel with.
:param temp: Temperature to heat vessel to while cleaning.
:param repeats: Number of cleaning cycles to perform.
:return: List of actions to clean vessel.
支持XDL参数格式
- vessel: 分离容器(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
"""
# 生成泵操作的动作序列
pump_action_sequence = []
reactor_volume = 500.0
waste_vessel = waste_phase_to_vessel
debug_print("=" * 60)
debug_print("开始生成分离协议 - 修复版")
debug_print(f"原始参数:")
debug_print(f" - vessel: '{vessel}'")
debug_print(f" - purpose: '{purpose}'")
debug_print(f" - product_phase: '{product_phase}'")
debug_print(f" - solvent: '{solvent}'")
debug_print(f" - volume: {volume} (类型: {type(volume)})")
debug_print(f" - repeats: {repeats}")
debug_print(f" - product_vessel: '{product_vessel}'")
debug_print(f" - waste_vessel: '{waste_vessel}'")
debug_print("=" * 60)
# TODO通过物料管理系统找到溶剂的容器
if "," in solvent:
solvents = solvent.split(",")
assert len(solvents) == repeats, "Number of solvents must match number of repeats."
else:
solvents = [solvent] * repeats
action_sequence = []
# TODO: 通过设备连接图找到分离容器的控制器、底部出口
separator_controller = f"{separation_vessel}_controller"
separation_vessel_bottom = f"flask_{separation_vessel}"
# === 参数验证和标准化 ===
debug_print("步骤1: 参数验证和标准化...")
transfer_flowrate = flowrate = 2.5
# 统一容器参数
final_vessel = vessel or separation_vessel
if not final_vessel:
raise ValueError("必须指定分离容器 (vessel 或 separation_vessel)")
if from_vessel != separation_vessel:
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": separation_vessel,
"volume": reactor_volume,
"time": reactor_volume / flowrate,
# "transfer_flowrate": transfer_flowrate,
final_to_vessel = to_vessel or product_vessel
final_waste_vessel = waste_phase_to_vessel or 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"⚠️ repeats参数 <= 0自动设置为1")
debug_print(f"标准化参数:")
debug_print(f" - 分离容器: '{final_vessel}'")
debug_print(f" - 产物容器: '{final_to_vessel}'")
debug_print(f" - 废液容器: '{final_waste_vessel}'")
debug_print(f" - 溶剂体积: {final_volume}mL")
debug_print(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"
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"
debug_print("✅ 参数验证通过")
# === 查找设备 ===
debug_print("步骤2: 查找设备...")
# 查找分离器设备
separator_device = find_separator_device(G, final_vessel)
if not separator_device:
debug_print("⚠️ 未找到分离器设备,可能无法执行分离操作")
# 查找溶剂容器(如果需要)
solvent_vessel = ""
if solvent and solvent.strip():
solvent_vessel = find_solvent_vessel(G, solvent)
debug_print(f"设备映射:")
debug_print(f" - 分离器设备: '{separator_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...")
try:
for repeat_idx in range(repeats):
debug_print(f"3.{repeat_idx+1}: 第 {repeat_idx+1}/{repeats} 次分离")
# 步骤3.1: 添加溶剂(如果需要)
if solvent_vessel and final_volume > 0:
debug_print(f"3.{repeat_idx+1}.1: 添加溶剂 {solvent} ({final_volume}mL)")
# 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,
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")
# 步骤3.2: 执行分离操作
if separator_device:
debug_print(f"3.{repeat_idx+1}.2: 执行分离操作")
# 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": from_vessel or final_vessel,
"separation_vessel": final_vessel,
"to_vessel": final_to_vessel or final_vessel,
"waste_phase_to_vessel": final_waste_vessel or final_vessel,
"solvent": solvent,
"solvent_volume": final_volume,
"through": through,
"repeats": 1, # 每次调用只做一次分离
"stir_time": stir_time,
"stir_speed": stir_speed,
"settling_time": settling_time
}
}
action_sequence.append(separate_action)
debug_print(f"✅ 分离操作添加完成")
else:
debug_print(f"3.{repeat_idx+1}.2: 无分离器设备,跳过分离操作")
# 添加等待时间模拟分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": stir_time + settling_time}
})
# 等待间隔(除了最后一次)
if repeat_idx < repeats - 1:
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
except Exception as e:
debug_print(f"⚠️ 分离流程执行失败: {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)}"
}
)
# for i in range(2):
# pump_action_sequence.append(
# {
# "device_id": "",
# "action_name": "CleanProtocol",
# "action_kwargs": {
# "vessel": from_vessel,
# "solvent": "H2O", # Solvent to clean vessel with.
# "volume": solvent_volume, # Optional. Volume of solvent to clean vessel with.
# "temp": 25.0, # Optional. Temperature to heat vessel to while cleaning.
# "repeats": 1
# }
# }
# )
# pump_action_sequence.append(
# {
# "device_id": "",
# "action_name": "CleanProtocol",
# "action_kwargs": {
# "vessel": from_vessel,
# "solvent": "CH2Cl2", # Solvent to clean vessel with.
# "volume": solvent_volume, # Optional. Volume of solvent to clean vessel with.
# "temp": 25.0, # Optional. Temperature to heat vessel to while cleaning.
# "repeats": 1
# }
# }
# )
})
# 生成泵操作的动作序列
for i in range(repeats):
# 找到当次萃取所用溶剂
solvent_thistime = solvents[i]
solvent_vessel = f"flask_{solvent_thistime}"
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": solvent_vessel,
"to_vessel": separation_vessel,
"volume": solvent_volume,
"time": solvent_volume / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
pump_action_sequence.extend([
# 搅拌、静置
{
"device_id": separator_controller,
"action_name": "stir",
"action_kwargs": {
"stir_time": stir_time,
"stir_speed": stir_speed,
"settling_time": settling_time
}
},
# 分液(判断电导突跃)
{
"device_id": separator_controller,
"action_name": "valve_open",
"action_kwargs": {
"command": "delta > 0.05"
}
}
])
if product_phase == "bottom":
# 产物转移到目标瓶
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": separation_vessel_bottom,
"to_vessel": to_vessel,
"volume": 250.0,
"time": 250.0 / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
# 放出上面那一相60秒后关阀门
pump_action_sequence.append(
{
"device_id": separator_controller,
"action_name": "valve_open",
"action_kwargs": {
"command": "time > 60"
}
}
)
# 弃去上面那一相进废液
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": separation_vessel_bottom,
"to_vessel": waste_vessel,
"volume": 250.0,
"time": 250.0 / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
elif product_phase == "top":
# 弃去下面那一相进废液
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": separation_vessel_bottom,
"to_vessel": waste_vessel,
"volume": 250.0,
"time": 250.0 / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
# 放出上面那一相
pump_action_sequence.append(
{
"device_id": separator_controller,
"action_name": "valve_open",
"action_kwargs": {
"command": "time > 60"
}
}
)
# 产物转移到目标瓶
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": separation_vessel_bottom,
"to_vessel": to_vessel,
"volume": 250.0,
"time": 250.0 / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
elif product_phase == "organic":
pass
# 如果不是最后一次,从中转瓶转移回分液漏斗
if i < repeats - 1:
pump_action_sequence.append(
{
"device_id": "",
"action_name": "PumpTransferProtocol",
"action_kwargs": {
"from_vessel": to_vessel,
"to_vessel": separation_vessel,
"volume": 250.0,
"time": 250.0 / flowrate,
# "transfer_flowrate": transfer_flowrate,
}
}
)
return pump_action_sequence
# === 最终结果 ===
debug_print("=" * 60)
debug_print(f"✅ 分离协议生成完成")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"📋 处理总结:")
debug_print(f" - 分离容器: {final_vessel}")
debug_print(f" - 分离目的: {purpose}")
debug_print(f" - 产物相: {product_phase}")
debug_print(f" - 重复次数: {repeats}")
if solvent:
debug_print(f" - 溶剂: {solvent} ({final_volume}mL)")
if final_to_vessel:
debug_print(f" - 产物容器: {final_to_vessel}")
if final_waste_vessel:
debug_print(f" - 废液容器: {final_waste_vessel}")
debug_print("=" * 60)
return action_sequence
# === 便捷函数 ===
def separate_phases_only(G: nx.DiGraph, vessel: str, product_phase: str = "top",
product_vessel: str = "", waste_vessel: str = "") -> List[Dict[str, Any]]:
"""仅进行相分离(不添加溶剂)"""
return generate_separate_protocol(
G, vessel=vessel,
purpose="separate",
product_phase=product_phase,
product_vessel=product_vessel,
waste_vessel=waste_vessel
)
def wash_with_solvent(G: nx.DiGraph, vessel: str, solvent: str, volume: Union[str, float],
product_phase: str = "top", repeats: int = 1) -> List[Dict[str, Any]]:
"""用溶剂洗涤"""
return generate_separate_protocol(
G, vessel=vessel,
purpose="wash",
product_phase=product_phase,
solvent=solvent,
volume=volume,
repeats=repeats
)
def extract_with_solvent(G: nx.DiGraph, vessel: str, solvent: str, volume: Union[str, float],
product_phase: str = "bottom", repeats: int = 3) -> List[Dict[str, Any]]:
"""用溶剂萃取"""
return generate_separate_protocol(
G, vessel=vessel,
purpose="extract",
product_phase=product_phase,
solvent=solvent,
volume=volume,
repeats=repeats
)
def separate_aqueous_organic(G: nx.DiGraph, vessel: str, organic_phase: str = "top",
product_vessel: str = "", waste_vessel: str = "") -> List[Dict[str, Any]]:
"""水-有机相分离"""
return generate_separate_protocol(
G, vessel=vessel,
purpose="separate",
product_phase=organic_phase,
product_vessel=product_vessel,
waste_vessel=waste_vessel
)
# 测试函数
def test_separate_protocol():
"""测试分离协议的各种参数解析"""
print("=== SEPARATE PROTOCOL 增强版测试 ===")
# 测试体积解析
volumes = ["200 mL", "?", 100.0, "1 L", "500 μL"]
for vol in volumes:
result = parse_volume_input(vol)
print(f"体积解析: {vol}{result}mL")
print("✅ 测试完成")
if __name__ == "__main__":
test_separate_protocol()

View File

@@ -1,96 +1,517 @@
from typing import List, Dict, Any
from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
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_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_time_spec(time_spec: str) -> float:
"""
解析时间规格字符串为秒数
Args:
time_spec: 时间规格字符串(如 "several minutes", "overnight", "few hours"
Returns:
float: 时间(秒)
"""
if not time_spec:
return 0.0
time_spec = time_spec.lower().strip()
# 预定义的时间规格映射
time_spec_map = {
# 几分钟
"several minutes": 5.0 * 60, # 5分钟
"few minutes": 3.0 * 60, # 3分钟
"couple of minutes": 2.0 * 60, # 2分钟
"a few minutes": 3.0 * 60, # 3分钟
"some minutes": 5.0 * 60, # 5分钟
# 几小时
"several hours": 3.0 * 3600, # 3小时
"few hours": 2.0 * 3600, # 2小时
"couple of hours": 2.0 * 3600, # 2小时
"a few hours": 3.0 * 3600, # 3小时
"some hours": 4.0 * 3600, # 4小时
# 特殊时间
"overnight": 12.0 * 3600, # 12小时
"over night": 12.0 * 3600, # 12小时
"morning": 4.0 * 3600, # 4小时
"afternoon": 6.0 * 3600, # 6小时
"evening": 4.0 * 3600, # 4小时
# 短时间
"briefly": 30.0, # 30秒
"momentarily": 10.0, # 10秒
"quickly": 60.0, # 1分钟
"slowly": 10.0 * 60, # 10分钟
# 长时间
"extended": 6.0 * 3600, # 6小时
"prolonged": 8.0 * 3600, # 8小时
"extensively": 12.0 * 3600, # 12小时
}
# 直接匹配
if time_spec in time_spec_map:
result = time_spec_map[time_spec]
debug_print(f"时间规格解析: '{time_spec}'{result/60:.1f}分钟")
return result
# 模糊匹配
for spec, value in time_spec_map.items():
if spec in time_spec or time_spec in spec:
result = value
debug_print(f"时间规格模糊匹配: '{time_spec}''{spec}'{result/60:.1f}分钟")
return result
# 如果无法识别,返回默认值
default_time = 5.0 * 60 # 5分钟
debug_print(f"⚠️ 无法识别时间规格: '{time_spec}',使用默认值: {default_time/60:.1f}分钟")
return default_time
def parse_time_string(time_str: str) -> float:
"""
解析时间字符串为秒数,支持多种单位
Args:
time_str: 时间字符串(如 "0.5 h", "30 min", "120 s", "2.5"
Returns:
float: 时间(秒)
"""
if not time_str:
return 0.0
# 如果是纯数字,默认单位为秒
try:
return float(time_str)
except ValueError:
pass
# 清理字符串
time_str = time_str.lower().strip()
# 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"⚠️ 无法解析时间字符串: '{time_str}',使用默认值: 60秒")
return 60.0
value = float(match.group(1))
unit = match.group(2)
# 单位转换映射
unit_map = {
# 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,
# 如果没有单位,默认为秒
'': 1.0,
}
multiplier = unit_map.get(unit, 1.0)
result = value * multiplier
debug_print(f"时间字符串解析: '{time_str}'{value} {unit or 'seconds'}{result}")
return result
def parse_time_input(time_input: Union[str, float, int], time_spec: str = "") -> float:
"""
统一的时间输入解析函数
Args:
time_input: 时间输入(可以是字符串、浮点数或整数)
time_spec: 时间规格字符串优先级高于time_input
Returns:
float: 时间(秒)
"""
# 优先处理 time_spec
if time_spec:
return parse_time_spec(time_spec)
# 处理 time_input
if isinstance(time_input, (int, float)):
# 数字默认单位为秒
result = float(time_input)
debug_print(f"数字时间输入: {time_input}{result}")
return result
if isinstance(time_input, str):
return parse_time_string(time_input)
# 默认值
debug_print(f"⚠️ 无法处理时间输入: {time_input},使用默认值: 60秒")
return 60.0
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,或查找可用的搅拌设备
"""
debug_print(f"查找搅拌设备,目标容器: {vessel}")
# 查找所有搅拌设备节点
stirrer_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'stirrer' in node_class.lower() or 'virtual_stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"找到搅拌设备: {node}")
if vessel:
# 检查哪个搅拌设备与目标容器相连(机械连接)
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"搅拌设备 '{stirrer}' 与容器 '{vessel}' 相连")
return stirrer
# 如果没有指定容器或没有直接连接,返回第一个可用的搅拌设备
if stirrer_nodes:
debug_print(f"使用第一个搅拌设备: {stirrer_nodes[0]}")
return stirrer_nodes[0]
raise ValueError("系统中未找到可用的搅拌设备")
debug_print("未找到搅拌设备,使用默认设备")
return "stirrer_1" # 默认设备
def generate_stir_protocol(
G: nx.DiGraph,
stir_time: float,
stir_speed: float,
settling_time: float
vessel: str,
time: Union[str, float, int] = "300", # 🔧 修改:默认为字符串
stir_time: Union[str, float, int] = "0", # 🔧 修改:支持字符串
time_spec: str = "",
event: str = "",
stir_speed: float = 200.0,
settling_time: Union[str, float] = "60", # 🔧 修改:支持字符串
**kwargs
) -> List[Dict[str, Any]]:
"""
生成搅拌操作的协议序列 - 定时搅拌 + 沉降
生成搅拌操作的协议序列 - 支持单位
Args:
G: 设备图
vessel: 搅拌容器名称(必需)
time: 搅拌时间(支持 "5 min", "300", "0.5 h" 等)
stir_time: 搅拌时间与time等效支持单位
time_spec: 时间规格(优先级最高)
event: 事件标识
stir_speed: 搅拌速度 (RPM)默认200 RPM
settling_time: 沉降时间支持单位默认60秒
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 搅拌操作的动作序列
"""
debug_print("=" * 50)
debug_print("开始生成搅拌协议(支持单位)")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - time: {time}")
debug_print(f" - stir_time: {stir_time}")
debug_print(f" - time_spec: {time_spec}")
debug_print(f" - event: {event}")
debug_print(f" - stir_speed: {stir_speed}")
debug_print(f" - settling_time: {settling_time}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 50)
action_sequence = []
print(f"STIR: 开始生成搅拌协议")
print(f" - 搅拌时间: {stir_time}")
print(f" - 搅拌速度: {stir_speed} RPM")
print(f" - 沉降时间: {settling_time}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
debug_print(f"✅ 参数验证通过")
# === 🔧 新增:单位解析处理 ===
debug_print("步骤2: 单位解析处理...")
# 确定实际使用的时间值stir_time优先
actual_time_input = stir_time if stir_time not in ["0", 0, 0.0] else time
# 解析时间time_spec > actual_time_input
if time_spec:
parsed_time = parse_time_spec(time_spec) # 使用现有的time_spec解析
debug_print(f"使用time_spec: '{time_spec}'{parsed_time}s")
else:
parsed_time = parse_time_with_units(actual_time_input, "s")
debug_print(f"解析时间: {actual_time_input}{parsed_time}s")
# 解析沉降时间
parsed_settling_time = parse_time_with_units(settling_time, "s")
debug_print(f"解析沉降时间: {settling_time}{parsed_settling_time}s")
debug_print(f"时间解析结果:")
debug_print(f" - 原始输入: time={time}, stir_time={stir_time}")
debug_print(f" - 时间规格: {time_spec}")
debug_print(f" - 最终搅拌时间: {parsed_time}s ({parsed_time/60:.1f}分钟)")
debug_print(f" - 最终沉降时间: {parsed_settling_time}s ({parsed_settling_time/60:.1f}分钟)")
# 修正参数范围
if parsed_time < 0:
debug_print(f"搅拌时间 {parsed_time}s 无效,修正为 300s")
parsed_time = 300.0
elif parsed_time > 7200:
debug_print(f"搅拌时间 {parsed_time}s 过长,修正为 3600s")
parsed_time = 3600.0
if stir_speed < 10.0:
debug_print(f"搅拌速度 {stir_speed} RPM 过低,修正为 100 RPM")
stir_speed = 100.0
elif stir_speed > 1500.0:
debug_print(f"搅拌速度 {stir_speed} RPM 过高,修正为 1000 RPM")
stir_speed = 1000.0
if parsed_settling_time < 0:
debug_print(f"沉降时间 {parsed_settling_time}s 无效,修正为 60s")
parsed_settling_time = 60.0
elif parsed_settling_time > 1800:
debug_print(f"沉降时间 {parsed_settling_time}s 过长,修正为 600s")
parsed_settling_time = 600.0
# === 查找搅拌设备 ===
debug_print("步骤3: 查找搅拌设备...")
# 查找搅拌设备
try:
stirrer_id = find_connected_stirrer(G)
print(f"STIR: 找到搅拌设备: {stirrer_id}")
except ValueError as e:
stirrer_id = find_connected_stirrer(G, vessel)
debug_print(f"设备配置: 搅拌设备 = {stirrer_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到搅拌设备: {str(e)}")
# 执行搅拌操作
# === 执行搅拌操作 ===
debug_print("步骤4: 执行搅拌操作...")
# 构建搅拌动作参数
stir_kwargs = {
"vessel": vessel,
"time": str(time), # 保持原始字符串格式
"event": event,
"time_spec": time_spec,
"stir_time": parsed_time, # 解析后的时间(秒)
"stir_speed": stir_speed,
"settling_time": parsed_settling_time # 解析后的沉降时间(秒)
}
debug_print(f"搅拌参数: {stir_kwargs}")
stir_action = {
"device_id": stirrer_id,
"action_name": "stir",
"action_kwargs": {
"stir_time": stir_time,
"stir_speed": stir_speed,
"settling_time": settling_time
}
"action_kwargs": stir_kwargs
}
action_sequence.append(stir_action)
print(f"STIR: 生成了 {len(action_sequence)} 个动作")
# === 总结 ===
debug_print("=" * 50)
debug_print(f"搅拌协议生成完成(支持单位)")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"搅拌容器: {vessel}")
debug_print(f"搅拌参数: {stir_speed} RPM, {parsed_time}s, 沉降 {parsed_settling_time}s")
debug_print("=" * 50)
return action_sequence
def generate_start_stir_protocol(
G: nx.DiGraph,
vessel: str,
stir_speed: float,
purpose: str
stir_speed: float = 200.0,
purpose: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成开始搅拌操作的协议序列 - 持续搅拌
Args:
G: 设备图
vessel: 搅拌容器名称(必需)
stir_speed: 搅拌速度 (RPM)默认200 RPM
purpose: 搅拌目的(可选)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 开始搅拌操作的动作序列
"""
debug_print("=" * 50)
debug_print("开始生成启动搅拌协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - stir_speed: {stir_speed} RPM")
debug_print(f" - purpose: {purpose}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 50)
action_sequence = []
print(f"START_STIR: 开始生成启动搅拌协议")
print(f" - 容器: {vessel}")
print(f" - 搅拌速度: {stir_speed} RPM")
print(f" - 目的: {purpose}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 查找搅拌设备
# 修正参数范围
if stir_speed < 10.0:
debug_print(f"搅拌速度 {stir_speed} RPM 过低,修正为 100 RPM")
stir_speed = 100.0
elif stir_speed > 1500.0:
debug_print(f"搅拌速度 {stir_speed} RPM 过高,修正为 1000 RPM")
stir_speed = 1000.0
debug_print(f"✅ 参数验证通过")
# === 查找搅拌设备 ===
debug_print("步骤2: 查找搅拌设备...")
try:
stirrer_id = find_connected_stirrer(G, vessel)
print(f"START_STIR: 找到搅拌设备: {stirrer_id}")
except ValueError as e:
debug_print(f"设备配置: 搅拌设备 = {stirrer_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到搅拌设备: {str(e)}")
# 执行开始搅拌操作
# === 执行开始搅拌操作 ===
debug_print("步骤3: 执行开始搅拌操作...")
start_stir_action = {
"device_id": stirrer_id,
"action_name": "start_stir",
@@ -103,34 +524,69 @@ def generate_start_stir_protocol(
action_sequence.append(start_stir_action)
print(f"START_STIR: 生成了 {len(action_sequence)} 个动作")
# === 总结 ===
debug_print("=" * 50)
debug_print(f"启动搅拌协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"搅拌容器: {vessel}")
debug_print(f"搅拌速度: {stir_speed} RPM")
debug_print(f"搅拌目的: {purpose}")
debug_print("=" * 50)
return action_sequence
def generate_stop_stir_protocol(
G: nx.DiGraph,
vessel: str
vessel: str,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成停止搅拌操作的协议序列
Args:
G: 设备图
vessel: 搅拌容器名称(必需)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 停止搅拌操作的动作序列
"""
debug_print("=" * 50)
debug_print("开始生成停止搅拌协议")
debug_print(f"输入参数:")
debug_print(f" - vessel: {vessel}")
debug_print(f" - 其他参数: {kwargs}")
debug_print("=" * 50)
action_sequence = []
print(f"STOP_STIR: 开始生成停止搅拌协议")
print(f" - 容器: {vessel}")
# === 参数验证 ===
debug_print("步骤1: 参数验证...")
# 验证必需参数
if not vessel:
raise ValueError("vessel 参数不能为空")
# 验证容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 '{vessel}' 不存在于系统中")
# 查找搅拌设备
debug_print(f"✅ 参数验证通过")
# === 查找搅拌设备 ===
debug_print("步骤2: 查找搅拌设备...")
try:
stirrer_id = find_connected_stirrer(G, vessel)
print(f"STOP_STIR: 找到搅拌设备: {stirrer_id}")
except ValueError as e:
debug_print(f"设备配置: 搅拌设备 = {stirrer_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)}")
raise ValueError(f"无法找到搅拌设备: {str(e)}")
# 执行停止搅拌操作
# === 执行停止搅拌操作 ===
debug_print("步骤3: 执行停止搅拌操作...")
stop_stir_action = {
"device_id": stirrer_id,
"action_name": "stop_stir",
@@ -141,26 +597,11 @@ def generate_stop_stir_protocol(
action_sequence.append(stop_stir_action)
print(f"STOP_STIR: 生成了 {len(action_sequence)} 个动作")
# === 总结 ===
debug_print("=" * 50)
debug_print(f"停止搅拌协议生成完成")
debug_print(f"总动作数: {len(action_sequence)}")
debug_print(f"搅拌容器: {vessel}")
debug_print("=" * 50)
return action_sequence
# 便捷函数
def generate_fast_stir_protocol(
G: nx.DiGraph,
time: float = 300.0,
speed: float = 800.0,
settling: float = 60.0
) -> List[Dict[str, Any]]:
"""快速搅拌的便捷函数"""
return generate_stir_protocol(G, time, speed, settling)
def generate_gentle_stir_protocol(
G: nx.DiGraph,
time: float = 600.0,
speed: float = 200.0,
settling: float = 120.0
) -> List[Dict[str, Any]]:
"""温和搅拌的便捷函数"""
return generate_stir_protocol(G, time, speed, settling)

View File

@@ -0,0 +1,206 @@
"""
统一的单位解析工具模块
支持时间、体积、质量等各种单位的解析
"""
import re
import logging
from typing import Union
logger = logging.getLogger(__name__)
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:
"""
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:
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
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"体积解析: '{volume_str}'{value} {unit}{volume}mL")
return volume
# 测试函数
def test_unit_parser():
"""测试单位解析功能"""
print("=== 单位解析器测试 ===")
# 测试时间解析
time_tests = [
"30 min", "1 h", "300", "5.5 h", "?", 60.0, "2 hours", "30 s"
]
print("\n时间解析测试:")
for time_input in time_tests:
result = parse_time_with_units(time_input)
print(f" {time_input}{result}s ({result/60:.1f}min)")
# 测试体积解析
volume_tests = [
"100 mL", "2.5 L", "500", "?", 100.0, "500 μL", "1 liter"
]
print("\n体积解析测试:")
for volume_input in volume_tests:
result = parse_volume_with_units(volume_input)
print(f" {volume_input}{result}mL")
print("\n✅ 测试完成")
if __name__ == "__main__":
test_unit_parser()

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View File

@@ -1,9 +1,12 @@
import rtde_control
import dashboard_client
try:
import rtde_control
import dashboard_client
import rtde_receive
except ImportError as ex:
print("Import Error, Please Install Packages in ur_arm_task.py First!", ex)
import time
import json
from unilabos.devices.agv.robotiq_gripper import RobotiqGripper
import rtde_receive
from std_msgs.msg import Float64MultiArray
from pydantic import BaseModel

View File

@@ -234,71 +234,71 @@ class Laiyu:
resp_reset = self.reset()
return actual_mass_mg
if __name__ == "__main__":
'''
样例:对单个粉筒进行称量
'''
modbus = Laiyu(port="COM25")
mass_test = modbus.add_powder_tube(1, 'h12', 6.0)
print(f"实际出料质量:{mass_test}mg")
'''
样例:对单个粉筒进行称量
'''
'''
样例: 对一份excel文件记录的化合物进行称量
'''
modbus = Laiyu(port="COM25")
excel_file = r"C:\auto\laiyu\test1.xlsx"
# 定义输出文件路径,用于记录实际加样多少
output_file = r"C:\auto\laiyu\test_output.xlsx"
mass_test = modbus.add_powder_tube(1, 'h12', 6.0)
print(f"实际出料质量:{mass_test}mg")
# 定义物料名称和料筒位置关系
compound_positions = {
'XPhos': '1',
'Cu(OTf)2': '2',
'CuSO4': '3',
'PPh3': '4',
}
# read excel file
# excel_file = r"C:\auto\laiyu\test.xlsx"
df = pd.read_excel(excel_file, sheet_name='Sheet1')
# 读取Excel文件中的数据
# 遍历每一行数据
for index, row in df.iterrows():
# 获取物料名称和质量
copper_name = row['copper']
copper_mass = row['copper_mass']
ligand_name = row['ligand']
ligand_mass = row['ligand_mass']
target_tube_position = row['position']
# 获取物料位置 from compound_positions
copper_position = compound_positions.get(copper_name)
ligand_position = compound_positions.get(ligand_name)
# 判断物料位置是否存在
if copper_position is None:
print(f"物料位置不存在:{copper_name}")
continue
if ligand_position is None:
print(f"物料位置不存在:{ligand_name}")
continue
# 加铜
copper_actual_mass = modbus.add_powder_tube(int(copper_position), target_tube_position, copper_mass)
time.sleep(1)
# 加配体
ligand_actual_mass = modbus.add_powder_tube(int(ligand_position), target_tube_position, ligand_mass)
time.sleep(1)
# 保存至df
df.at[index, 'copper_actual_mass'] = copper_actual_mass
df.at[index, 'ligand_actual_mass'] = ligand_actual_mass
'''
样例: 对一份excel文件记录的化合物进行称量
'''
# 保存修改后的数据到新的Excel文件
df.to_excel(output_file, index=False)
print(f"已保存到文件:{output_file}")
excel_file = r"C:\auto\laiyu\test1.xlsx"
# 定义输出文件路径,用于记录实际加样多少
output_file = r"C:\auto\laiyu\test_output.xlsx"
# 定义物料名称和料筒位置关系
compound_positions = {
'XPhos': '1',
'Cu(OTf)2': '2',
'CuSO4': '3',
'PPh3': '4',
}
# read excel file
# excel_file = r"C:\auto\laiyu\test.xlsx"
df = pd.read_excel(excel_file, sheet_name='Sheet1')
# 读取Excel文件中的数据
# 遍历每一行数据
for index, row in df.iterrows():
# 获取物料名称和质量
copper_name = row['copper']
copper_mass = row['copper_mass']
ligand_name = row['ligand']
ligand_mass = row['ligand_mass']
target_tube_position = row['position']
# 获取物料位置 from compound_positions
copper_position = compound_positions.get(copper_name)
ligand_position = compound_positions.get(ligand_name)
# 判断物料位置是否存在
if copper_position is None:
print(f"物料位置不存在:{copper_name}")
continue
if ligand_position is None:
print(f"物料位置不存在:{ligand_name}")
continue
# 加铜
copper_actual_mass = modbus.add_powder_tube(int(copper_position), target_tube_position, copper_mass)
time.sleep(1)
# 加配体
ligand_actual_mass = modbus.add_powder_tube(int(ligand_position), target_tube_position, ligand_mass)
time.sleep(1)
# 保存至df
df.at[index, 'copper_actual_mass'] = copper_actual_mass
df.at[index, 'ligand_actual_mass'] = ligand_actual_mass
# 保存修改后的数据到新的Excel文件
df.to_excel(output_file, index=False)
print(f"已保存到文件:{output_file}")
# 关闭串口
modbus.ser.close()
print("串口已关闭")
# 关闭串口
modbus.ser.close()
print("串口已关闭")

View File

@@ -0,0 +1,328 @@
import socket, json, contextlib
from typing import Any, List, Dict, Optional
class PRCXIError(RuntimeError):
"""Lilith 返回 Success=false 时抛出的业务异常"""
class PRCXI9300:
def __init__(self, host: str = "127.0.0.1", port: int = 9999,
timeout: float = 10.0) -> None:
self.host, self.port, self.timeout = host, port, timeout
@staticmethod
def _len_prefix(n: int) -> bytes:
return bytes.fromhex(format(n, "016x"))
def _raw_request(self, payload: str) -> str:
with contextlib.closing(socket.socket()) as sock:
sock.settimeout(self.timeout)
sock.connect((self.host, self.port))
data = payload.encode()
sock.sendall(self._len_prefix(len(data)) + data)
chunks, first = [], True
while True:
chunk = sock.recv(4096)
if not chunk:
break
if first:
chunk, first = chunk[8:], False
chunks.append(chunk)
return b"".join(chunks).decode()
def _call(self, service: str, method: str,
params: Optional[list] = None) -> Any:
payload = json.dumps(
{"ServiceName": service,
"MethodName": method,
"Paramters": params or []},
separators=(",", ":")
)
resp = json.loads(self._raw_request(payload))
if not resp.get("Success", False):
raise PRCXIError(resp.get("Msg", "Unknown error"))
data = resp.get("Data")
try:
return json.loads(data)
except (TypeError, json.JSONDecodeError):
return data
# ---------------------------------------------------- 方案相关ISolution
def list_solutions(self) -> List[Dict[str, Any]]:
"""GetSolutionList"""
return self._call("ISolution", "GetSolutionList")
def load_solution(self, solution_id: str) -> bool:
"""LoadSolution"""
return self._call("ISolution", "LoadSolution", [solution_id])
def add_solution(self, name: str, matrix_id: str,
steps: List[Dict[str, Any]]) -> str:
"""AddSolution → 返回新方案 GUID"""
return self._call("ISolution", "AddSolution",
[name, matrix_id, steps])
# ---------------------------------------------------- 自动化控制IAutomation
def start(self) -> bool:
return self._call("IAutomation", "Start")
def stop(self) -> bool:
"""Stop"""
return self._call("IAutomation", "Stop")
def reset(self) -> bool:
"""Reset"""
return self._call("IAutomation", "Reset")
def pause(self) -> bool:
"""Pause"""
return self._call("IAutomation", "Pause")
def resume(self) -> bool:
"""Resume"""
return self._call("IAutomation", "Resume")
def get_error_code(self) -> Optional[str]:
"""GetErrorCode"""
return self._call("IAutomation", "GetErrorCode")
def clear_error_code(self) -> bool:
"""RemoveErrorCodet"""
return self._call("IAutomation", "RemoveErrorCodet")
# ---------------------------------------------------- 运行状态IMachineState
def step_state_list(self) -> List[Dict[str, Any]]:
"""GetStepStateList"""
return self._call("IMachineState", "GetStepStateList")
def step_status(self, seq_num: int) -> Dict[str, Any]:
"""GetStepStatus"""
return self._call("IMachineState", "GetStepStatus", [seq_num])
def step_state(self, seq_num: int) -> Dict[str, Any]:
"""GetStepState"""
return self._call("IMachineState", "GetStepState", [seq_num])
def axis_location(self, axis_num: int = 1) -> Dict[str, Any]:
"""GetLocation"""
return self._call("IMachineState", "GetLocation", [axis_num])
# ---------------------------------------------------- 版位矩阵IMatrix
def list_matrices(self) -> List[Dict[str, Any]]:
"""GetWorkTabletMatrices"""
return self._call("IMatrix", "GetWorkTabletMatrices")
def matrix_by_id(self, matrix_id: str) -> Dict[str, Any]:
"""GetWorkTabletMatrixById"""
return self._call("IMatrix", "GetWorkTabletMatrixById", [matrix_id])
def add_WorkTablet_Matrix(self,matrix):
return self._call("IMatrix", "AddWorkTabletMatrix", [matrix])
# ---------------------------------------------------- 一键运行
def run_solution(self, solution_id: str, channel_idx: int = 1) -> None:
self.load_solution(solution_id)
self.start(channel_idx)
# ---------------------------------------------------- 单点动作
def Load(
self,
axis: str,
dosage: int,
plate_no: int,
is_whole_plate: bool,
hole_row: int,
hole_col: int,
blending_times: int,
balance_height: int,
plate_or_hole: str,
hole_numbers: str,
assist_fun1: str = "",
assist_fun2: str = "",
assist_fun3: str = "",
assist_fun4: str = "",
assist_fun5: str = "",
liquid_method: str = "NormalDispense"
) -> Dict[str, Any]:
return {
"StepAxis": axis,
"Function": "Load",
"DosageNum": dosage,
"PlateNo": plate_no,
"IsWholePlate": is_whole_plate,
"HoleRow": hole_row,
"HoleCol": hole_col,
"BlendingTimes": blending_times,
"BalanceHeight": balance_height,
"PlateOrHoleNum": plate_or_hole,
"AssistFun1": assist_fun1,
"AssistFun2": assist_fun2,
"AssistFun3": assist_fun3,
"AssistFun4": assist_fun4,
"AssistFun5": assist_fun5,
"HoleNumbers": hole_numbers,
"LiquidDispensingMethod": liquid_method
}
def Imbibing(
self,
axis: str,
dosage: int,
plate_no: int,
is_whole_plate: bool,
hole_row: int,
hole_col: int,
blending_times: int,
balance_height: int,
plate_or_hole: str,
hole_numbers: str,
assist_fun1: str = "",
assist_fun2: str = "",
assist_fun3: str = "",
assist_fun4: str = "",
assist_fun5: str = "",
liquid_method: str = "NormalDispense"
) -> Dict[str, Any]:
return {
"StepAxis": axis,
"Function": "Imbibing",
"DosageNum": dosage,
"PlateNo": plate_no,
"IsWholePlate": is_whole_plate,
"HoleRow": hole_row,
"HoleCol": hole_col,
"BlendingTimes": blending_times,
"BalanceHeight": balance_height,
"PlateOrHoleNum": plate_or_hole,
"AssistFun1": assist_fun1,
"AssistFun2": assist_fun2,
"AssistFun3": assist_fun3,
"AssistFun4": assist_fun4,
"AssistFun5": assist_fun5,
"HoleNumbers": hole_numbers,
"LiquidDispensingMethod": liquid_method
}
def Tapping(
self,
axis: str,
dosage: int,
plate_no: int,
is_whole_plate: bool,
hole_row: int,
hole_col: int,
blending_times: int,
balance_height: int,
plate_or_hole: str,
hole_numbers: str,
assist_fun1: str = "",
assist_fun2: str = "",
assist_fun3: str = "",
assist_fun4: str = "",
assist_fun5: str = "",
liquid_method: str = "NormalDispense"
) -> Dict[str, Any]:
return {
"StepAxis": axis,
"Function": "Tapping",
"DosageNum": dosage,
"PlateNo": plate_no,
"IsWholePlate": is_whole_plate,
"HoleRow": hole_row,
"HoleCol": hole_col,
"BlendingTimes": blending_times,
"BalanceHeight": balance_height,
"PlateOrHoleNum": plate_or_hole,
"AssistFun1": assist_fun1,
"AssistFun2": assist_fun2,
"AssistFun3": assist_fun3,
"AssistFun4": assist_fun4,
"AssistFun5": assist_fun5,
"HoleNumbers": hole_numbers,
"LiquidDispensingMethod": liquid_method
}
def Blending(
self,
axis: str,
dosage: int,
plate_no: int,
is_whole_plate: bool,
hole_row: int,
hole_col: int,
blending_times: int,
balance_height: int,
plate_or_hole: str,
hole_numbers: str,
assist_fun1: str = "",
assist_fun2: str = "",
assist_fun3: str = "",
assist_fun4: str = "",
assist_fun5: str = "",
liquid_method: str = "NormalDispense"
) -> Dict[str, Any]:
return {
"StepAxis": axis,
"Function": "Blending",
"DosageNum": dosage,
"PlateNo": plate_no,
"IsWholePlate": is_whole_plate,
"HoleRow": hole_row,
"HoleCol": hole_col,
"BlendingTimes": blending_times,
"BalanceHeight": balance_height,
"PlateOrHoleNum": plate_or_hole,
"AssistFun1": assist_fun1,
"AssistFun2": assist_fun2,
"AssistFun3": assist_fun3,
"AssistFun4": assist_fun4,
"AssistFun5": assist_fun5,
"HoleNumbers": hole_numbers,
"LiquidDispensingMethod": liquid_method
}
def UnLoad(
self,
axis: str,
dosage: int,
plate_no: int,
is_whole_plate: bool,
hole_row: int,
hole_col: int,
blending_times: int,
balance_height: int,
plate_or_hole: str,
hole_numbers: str,
assist_fun1: str = "",
assist_fun2: str = "",
assist_fun3: str = "",
assist_fun4: str = "",
assist_fun5: str = "",
liquid_method: str = "NormalDispense"
) -> Dict[str, Any]:
return {
"StepAxis": axis,
"Function": "UnLoad",
"DosageNum": dosage,
"PlateNo": plate_no,
"IsWholePlate": is_whole_plate,
"HoleRow": hole_row,
"HoleCol": hole_col,
"BlendingTimes": blending_times,
"BalanceHeight": balance_height,
"PlateOrHoleNum": plate_or_hole,
"AssistFun1": assist_fun1,
"AssistFun2": assist_fun2,
"AssistFun3": assist_fun3,
"AssistFun4": assist_fun4,
"AssistFun5": assist_fun5,
"HoleNumbers": hole_numbers,
"LiquidDispensingMethod": liquid_method
}

View File

@@ -3,7 +3,11 @@ import sys
import io
# sys.path.insert(0, r'C:\kui\winprep_cli\winprep_c_Uni-lab\x64\Debug')
import winprep_c
try:
import winprep_c
except ImportError as e:
print("Error importing winprep_c:", e)
print("Please ensure that the winprep_c module is correctly installed and accessible.")
from queue import Queue

View File

@@ -21,7 +21,7 @@ except Exception as e:
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..")))
from unilabos.utils.pywinauto_util import connect_application, get_process_pid_by_name, get_ui_path_with_window_specification, print_wrapper_identifiers
from unilabos.device_comms.universal_driver import UniversalDriver, SingleRunningExecutor
from unilabos.devices.template_driver import universal_driver as ud
from unilabos.device_comms import universal_driver as ud
print(f"使用文件DEBUG运行: {e}")

View File

@@ -9,7 +9,7 @@ from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import time
class RamanObj:
def __init__(self, port_laser,port_ccd, baudrate_laser=9600, baudrate_ccd=921600):
def __init__(self, port_laser, port_ccd, baudrate_laser=9600, baudrate_ccd=921600):
self.port_laser = port_laser
self.port_ccd = port_ccd

View File

@@ -67,6 +67,16 @@ class VirtualFilter:
volume: float = 0.0
) -> bool:
"""Execute filter action - 完全按照 Filter.action 参数"""
# 🔧 新增:温度自动调整
original_temp = temp
if temp == 0.0:
temp = 25.0 # 0度自动设置为室温
self.logger.info(f"温度自动调整: {original_temp}°C → {temp}°C (室温)")
elif temp < 4.0:
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"Filter: vessel={vessel}, filtrate_vessel={filtrate_vessel}")
self.logger.info(f" stir={stir}, stir_speed={stir_speed}, temp={temp}")
self.logger.info(f" continue_heatchill={continue_heatchill}, volume={volume}")

View File

@@ -58,12 +58,30 @@ class VirtualHeatChill:
})
return True
async def heat_chill(self, vessel: str, temp: float, time: float, stir: bool,
async def heat_chill(self, vessel: str, temp: float, time, stir: bool,
stir_speed: float, purpose: str) -> bool:
"""Execute heat chill action - 按实际时间运行,实时更新剩余时间"""
self.logger.info(f"HeatChill: vessel={vessel}, temp={temp}°C, time={time}s, stir={stir}, stir_speed={stir_speed}")
"""Execute heat chill action - 🔧 修复:确保参数类型正确"""
# 验证参数
# 🔧 关键修复:确保所有参数类型正确
try:
temp = float(temp)
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)}"
self.logger.error(error_msg)
self.data.update({
"status": f"Error: {error_msg}",
"operation_mode": "Error"
})
return False
self.logger.info(f"HeatChill: vessel={vessel}, temp={temp}°C, time={time_value}s, stir={stir}, stir_speed={stir_speed}")
# 验证参数范围
if temp > self._max_temp or temp < self._min_temp:
error_msg = f"温度 {temp}°C 超出范围 ({self._min_temp}°C - {self._max_temp}°C)"
self.logger.error(error_msg)
@@ -82,6 +100,15 @@ class VirtualHeatChill:
})
return False
if time_value <= 0:
error_msg = f"时间 {time_value}s 必须大于0"
self.logger.error(error_msg)
self.data.update({
"status": f"Error: {error_msg}",
"operation_mode": "Error"
})
return False
# 确定操作模式
if temp > 25.0:
operation_mode = "Heating"
@@ -93,9 +120,9 @@ class VirtualHeatChill:
operation_mode = "Maintaining"
status_action = "保温"
# **修复**: 使用重命名的time模块
# 🔧 修复:使用转换后的时间值
start_time = time_module.time()
total_time = time
total_time = time_value # 使用转换后的浮点数
# 开始操作
stir_info = f" | 搅拌: {stir_speed} RPM" if stir else ""
@@ -107,9 +134,9 @@ class VirtualHeatChill:
"remaining_time": total_time,
})
# **修复**: 在等待过程中每秒更新剩余时间
# 在等待过程中每秒更新剩余时间
while True:
current_time = time_module.time() # 使用重命名的time模块
current_time = time_module.time()
elapsed = current_time - start_time
remaining = max(0, total_time - elapsed)
@@ -141,6 +168,21 @@ class VirtualHeatChill:
async def heat_chill_start(self, vessel: str, temp: float, purpose: str) -> 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)}"
self.logger.error(error_msg)
self.data.update({
"status": f"Error: {error_msg}",
"operation_mode": "Error"
})
return False
self.logger.info(f"HeatChillStart: vessel={vessel}, temp={temp}°C")
# 验证参数
@@ -176,6 +218,15 @@ class VirtualHeatChill:
async def heat_chill_stop(self, vessel: str) -> 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(error_msg)
return False
self.logger.info(f"HeatChillStop: vessel={vessel}")
self.data.update({

View File

@@ -3,6 +3,9 @@ import logging
import time as time_module
from typing import Dict, Any, Optional
def debug_print(message):
"""调试输出"""
print(f"[ROTAVAP] {message}", flush=True)
class VirtualRotavap:
"""Virtual rotary evaporator device - 简化版,只保留核心功能"""
@@ -70,12 +73,36 @@ class VirtualRotavap:
vessel: str,
pressure: float = 0.1,
temp: float = 60.0,
time: float = 1800.0, # 30分钟默认
stir_speed: float = 100.0
time: float = 180.0,
stir_speed: float = 100.0,
solvent: str = "",
**kwargs
) -> bool:
"""Execute evaporate action - 简化的蒸发流程"""
self.logger.info(f"Evaporate: vessel={vessel}, pressure={pressure} bar, temp={temp}°C, time={time}s, rotation={stir_speed} RPM")
"""Execute evaporate action - 简化"""
# 🔧 简化处理如果vessel就是设备自己直接操作
if vessel == self.device_id:
debug_print(f"在设备 {self.device_id} 上直接执行蒸发操作")
actual_vessel = self.device_id
else:
actual_vessel = vessel
# 参数预处理
if solvent:
self.logger.info(f"识别到溶剂: {solvent}")
# 根据溶剂调整参数
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'aqueous']):
temp = max(temp, 80.0)
pressure = max(pressure, 0.2)
self.logger.info("水系溶剂:调整参数")
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
temp = min(temp, 50.0)
pressure = min(pressure, 0.05)
self.logger.info("易挥发溶剂:调整参数")
self.logger.info(f"Evaporate: vessel={actual_vessel}, pressure={pressure} bar, temp={temp}°C, time={time}s, rotation={stir_speed} RPM, solvent={solvent}")
# 验证参数
if temp > self._max_temp or temp < 10.0:
error_msg = f"温度 {temp}°C 超出范围 (10-{self._max_temp}°C)"
@@ -83,6 +110,9 @@ class VirtualRotavap:
self.data.update({
"status": f"Error: {error_msg}",
"rotavap_state": "Error",
"current_temp": 25.0,
"progress": 0.0,
"evaporated_volume": 0.0,
"message": error_msg
})
return False
@@ -93,6 +123,9 @@ class VirtualRotavap:
self.data.update({
"status": f"Error: {error_msg}",
"rotavap_state": "Error",
"current_temp": 25.0,
"progress": 0.0,
"evaporated_volume": 0.0,
"message": error_msg
})
return False
@@ -103,13 +136,16 @@ class VirtualRotavap:
self.data.update({
"status": f"Error: {error_msg}",
"rotavap_state": "Error",
"current_temp": 25.0,
"progress": 0.0,
"evaporated_volume": 0.0,
"message": error_msg
})
return False
# 开始蒸发
self.data.update({
"status": f"蒸发中: {vessel}",
"status": f"蒸发中: {actual_vessel}",
"rotavap_state": "Evaporating",
"current_temp": temp,
"target_temp": temp,
@@ -118,7 +154,7 @@ class VirtualRotavap:
"remaining_time": time,
"progress": 0.0,
"evaporated_volume": 0.0,
"message": f"Evaporating {vessel} at {temp}°C, {pressure} bar, {stir_speed} RPM"
"message": f"Evaporating {actual_vessel} at {temp}°C, {pressure} bar, {stir_speed} RPM"
})
try:
@@ -135,12 +171,13 @@ class VirtualRotavap:
# 模拟蒸发体积
evaporated_vol = progress * 0.8 # 假设最多蒸发80mL
# 更新状态
# 🔧 更新状态 - 确保包含所有必需字段
self.data.update({
"remaining_time": remaining,
"progress": progress,
"evaporated_volume": evaporated_vol,
"status": f"蒸发中: {vessel} | {temp}°C | {pressure} bar | {progress:.1f}% | 剩余: {remaining:.0f}s",
"progress": progress, # 确保这个字段存在
"evaporated_volume": evaporated_vol, # 确保这个字段存在
"current_temp": temp, # 确保这个字段存在
"status": f"蒸发中: {actual_vessel} | {temp}°C | {pressure} bar | {progress:.1f}% | 剩余: {remaining:.0f}s",
"message": f"Evaporating: {progress:.1f}% complete, {remaining:.0f}s remaining"
})
@@ -154,18 +191,18 @@ class VirtualRotavap:
# 蒸发完成
final_evaporated = 80.0
self.data.update({
"status": f"蒸发完成: {vessel} | 蒸发量: {final_evaporated:.1f}mL",
"status": f"蒸发完成: {actual_vessel} | 蒸发量: {final_evaporated:.1f}mL",
"rotavap_state": "Completed",
"evaporated_volume": final_evaporated,
"progress": 100.0,
"current_temp": temp, # 保持温度信息
"remaining_time": 0.0,
"current_temp": 25.0, # 冷却下来
"rotation_speed": 0.0, # 停止旋转
"vacuum_pressure": 1.0, # 恢复大气压
"message": f"Evaporation completed: {final_evaporated}mL evaporated from {vessel}"
"message": f"Evaporation completed: {final_evaporated}mL evaporated from {actual_vessel}"
})
self.logger.info(f"Evaporation completed: {final_evaporated}mL evaporated from {vessel}")
self.logger.info(f"Evaporation completed: {final_evaporated}mL evaporated from {actual_vessel}")
return True
except Exception as e:
@@ -176,6 +213,8 @@ class VirtualRotavap:
"status": f"蒸发错误: {str(e)}",
"rotavap_state": "Error",
"current_temp": 25.0,
"progress": 0.0,
"evaporated_volume": 0.0,
"rotation_speed": 0.0,
"vacuum_pressure": 1.0,
"message": f"Evaporation failed: {str(e)}"

View File

@@ -43,10 +43,25 @@ class VirtualSolenoidValve:
def is_open(self) -> bool:
return self._is_open
def get_valve_position(self) -> str:
@property
def valve_position(self) -> str:
"""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
@@ -91,7 +106,7 @@ class VirtualSolenoidValve:
return {
"success": True,
"message": result_msg,
"valve_position": self.get_valve_position()
"valve_position": self.valve_position
}
async def open(self, **kwargs):
@@ -102,21 +117,25 @@ class VirtualSolenoidValve:
"""关闭电磁阀 - ROS动作接口"""
return await self.set_valve_position(command="CLOSED")
async def set_state(self, command: Union[bool, str], **kwargs):
async def set_status(self, string: str = None, **kwargs):
"""
设置阀门状态 - 兼容 SendCmd 类型
设置阀门状态 - 兼容 StrSingleInput 类型
Args:
command: True/False"open"/"close"
string: "ON"/"OFF""OPEN"/"CLOSED"
"""
if isinstance(command, bool):
cmd_str = "OPEN" if command else "CLOSED"
elif isinstance(command, str):
cmd_str = command
else:
return {"success": False, "message": "Invalid command type"}
if string is None:
return {"success": False, "message": "Missing string parameter"}
return await self.set_valve_position(command=cmd_str)
# 将 string 参数转换为 command 参数
if string.upper() in ["ON", "OPEN"]:
command = "OPEN"
elif string.upper() in ["OFF", "CLOSED"]:
command = "CLOSED"
else:
command = string
return await self.set_valve_position(command=command)
def toggle(self):
"""切换阀门状态"""
@@ -129,19 +148,6 @@ class VirtualSolenoidValve:
"""检查阀门是否关闭"""
return not self._is_open
def get_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.get_valve_position()
}
async def reset(self):
"""重置阀门到关闭状态"""
return await self.close()

View File

@@ -0,0 +1,335 @@
import asyncio
import logging
import re
from typing import Dict, Any, Optional
class VirtualSolidDispenser:
"""
虚拟固体粉末加样器 - 用于处理 Add Protocol 中的固体试剂添加
特点:
- 高兼容性:缺少参数不报错
- 智能识别:自动查找固体试剂瓶
- 简单反馈:成功/失败 + 消息
"""
def __init__(self, device_id: str = None, config: Dict[str, Any] = None, **kwargs):
self.device_id = device_id or "virtual_solid_dispenser"
self.config = config or {}
# 设备参数
self.max_capacity = float(self.config.get('max_capacity', 100.0)) # 最大加样量 (g)
self.precision = float(self.config.get('precision', 0.001)) # 精度 (g)
# 状态变量
self._status = "Idle"
self._current_reagent = ""
self._dispensed_amount = 0.0
self._total_operations = 0
self.logger = logging.getLogger(f"VirtualSolidDispenser.{self.device_id}")
print(f"=== VirtualSolidDispenser {self.device_id} 创建成功! ===")
print(f"=== 最大容量: {self.max_capacity}g, 精度: {self.precision}g ===")
async def initialize(self) -> bool:
"""初始化固体加样器"""
self.logger.info(f"初始化固体加样器 {self.device_id}")
self._status = "Ready"
self._current_reagent = ""
self._dispensed_amount = 0.0
return True
async def cleanup(self) -> bool:
"""清理固体加样器"""
self.logger.info(f"清理固体加样器 {self.device_id}")
self._status = "Idle"
return True
def parse_mass_string(self, mass_str: str) -> float:
"""
解析质量字符串为数值 (g)
支持格式: "2.9 g", "19.3g", "4.5 mg", "1.2 kg"
"""
if not mass_str or not isinstance(mass_str, str):
return 0.0
# 移除空格并转小写
mass_clean = mass_str.strip().lower()
# 正则匹配数字和单位
pattern = r'(\d+(?:\.\d+)?)\s*([a-z]*)'
match = re.search(pattern, mass_clean)
if not match:
return 0.0
try:
value = float(match.group(1))
unit = match.group(2) or 'g' # 默认单位 g
# 单位转换为 g
unit_multipliers = {
'g': 1.0,
'gram': 1.0,
'grams': 1.0,
'mg': 0.001,
'milligram': 0.001,
'milligrams': 0.001,
'kg': 1000.0,
'kilogram': 1000.0,
'kilograms': 1000.0,
'μg': 0.000001,
'ug': 0.000001,
'microgram': 0.000001,
'micrograms': 0.000001,
}
multiplier = unit_multipliers.get(unit, 1.0)
return value * multiplier
except (ValueError, TypeError):
self.logger.warning(f"无法解析质量字符串: {mass_str}")
return 0.0
def parse_mol_string(self, mol_str: str) -> float:
"""
解析摩尔数字符串为数值 (mol)
支持格式: "0.12 mol", "16.2 mmol", "25.2mmol"
"""
if not mol_str or not isinstance(mol_str, str):
return 0.0
# 移除空格并转小写
mol_clean = mol_str.strip().lower()
# 正则匹配数字和单位
pattern = r'(\d+(?:\.\d+)?)\s*(m?mol)'
match = re.search(pattern, mol_clean)
if not match:
return 0.0
try:
value = float(match.group(1))
unit = match.group(2)
# 单位转换为 mol
if unit == 'mmol':
return value * 0.001
else: # mol
return value
except (ValueError, TypeError):
self.logger.warning(f"无法解析摩尔数字符串: {mol_str}")
return 0.0
def find_solid_reagent_bottle(self, reagent_name: str) -> str:
"""
查找固体试剂瓶
这是一个简化版本,实际使用时应该连接到系统的设备图
"""
if not reagent_name:
return "unknown_solid_bottle"
# 可能的固体试剂瓶命名模式
possible_names = [
f"solid_bottle_{reagent_name}",
f"reagent_solid_{reagent_name}",
f"powder_{reagent_name}",
f"{reagent_name}_solid",
f"{reagent_name}_powder",
f"solid_{reagent_name}",
]
# 这里简化处理,实际应该查询设备图
return possible_names[0]
async def add_solid(
self,
vessel: str,
reagent: str,
mass: str = "",
mol: str = "",
purpose: str = "",
**kwargs # 兼容额外参数
) -> Dict[str, Any]:
"""
添加固体试剂的主要方法
Args:
vessel: 目标容器
reagent: 试剂名称
mass: 质量字符串 (如 "2.9 g")
mol: 摩尔数字符串 (如 "0.12 mol")
purpose: 添加目的
**kwargs: 其他兼容参数
Returns:
Dict: 操作结果
"""
try:
self.logger.info(f"=== 开始固体加样操作 ===")
self.logger.info(f"目标容器: {vessel}")
self.logger.info(f"试剂: {reagent}")
self.logger.info(f"质量: {mass}")
self.logger.info(f"摩尔数: {mol}")
self.logger.info(f"目的: {purpose}")
# 参数验证 - 宽松处理
if not vessel:
vessel = "main_reactor" # 默认容器
self.logger.warning(f"未指定容器,使用默认容器: {vessel}")
if not reagent:
return {
"success": False,
"message": "错误: 必须指定试剂名称",
"return_info": "missing_reagent"
}
# 解析质量和摩尔数
mass_value = self.parse_mass_string(mass)
mol_value = self.parse_mol_string(mol)
self.logger.info(f"解析后 - 质量: {mass_value}g, 摩尔数: {mol_value}mol")
# 确定实际加样量
if mass_value > 0:
actual_amount = mass_value
amount_unit = "g"
self.logger.info(f"按质量加样: {actual_amount} {amount_unit}")
elif mol_value > 0:
# 简化处理假设分子量为100 g/mol
assumed_mw = 100.0
actual_amount = mol_value * assumed_mw
amount_unit = "g (from mol)"
self.logger.info(f"按摩尔数加样: {mol_value} mol → {actual_amount} g (假设分子量 {assumed_mw})")
else:
# 没有指定量,使用默认值
actual_amount = 1.0
amount_unit = "g (default)"
self.logger.warning(f"未指定质量或摩尔数,使用默认值: {actual_amount} {amount_unit}")
# 检查容量限制
if actual_amount > self.max_capacity:
return {
"success": False,
"message": f"错误: 请求量 {actual_amount}g 超过最大容量 {self.max_capacity}g",
"return_info": "exceeds_capacity"
}
# 查找试剂瓶
reagent_bottle = self.find_solid_reagent_bottle(reagent)
self.logger.info(f"使用试剂瓶: {reagent_bottle}")
# 模拟加样过程
self._status = "Dispensing"
self._current_reagent = reagent
# 计算操作时间 (基于质量)
operation_time = max(0.5, actual_amount * 0.1) # 每克0.1秒最少0.5秒
self.logger.info(f"开始加样,预计时间: {operation_time:.1f}")
await asyncio.sleep(operation_time)
# 更新状态
self._dispensed_amount = actual_amount
self._total_operations += 1
self._status = "Ready"
# 成功结果
success_message = f"成功添加 {reagent} {actual_amount:.3f} {amount_unit}{vessel}"
self.logger.info(f"=== 固体加样完成 ===")
self.logger.info(success_message)
return {
"success": True,
"message": success_message,
"return_info": f"dispensed_{actual_amount:.3f}g"
}
except Exception as e:
error_message = f"固体加样失败: {str(e)}"
self.logger.error(error_message)
self._status = "Error"
return {
"success": False,
"message": error_message,
"return_info": "operation_failed"
}
# 状态属性
@property
def status(self) -> str:
return self._status
@property
def current_reagent(self) -> str:
return self._current_reagent
@property
def dispensed_amount(self) -> float:
return self._dispensed_amount
@property
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"""
return {
"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
}
def __str__(self):
return f"VirtualSolidDispenser({self.device_id}: {self._status}, 最后加样 {self._dispensed_amount:.3f}g)"
# 测试函数
async def test_solid_dispenser():
"""测试固体加样器"""
print("=== 固体加样器测试 ===")
dispenser = VirtualSolidDispenser("test_dispenser")
await dispenser.initialize()
# 测试1: 按质量加样
result1 = await dispenser.add_solid(
vessel="main_reactor",
reagent="magnesium",
mass="2.9 g"
)
print(f"测试1结果: {result1}")
# 测试2: 按摩尔数加样
result2 = await dispenser.add_solid(
vessel="main_reactor",
reagent="sodium_nitrite",
mol="0.28 mol"
)
print(f"测试2结果: {result2}")
# 测试3: 缺少参数
result3 = await dispenser.add_solid(
reagent="test_compound"
)
print(f"测试3结果: {result3}")
print(f"设备信息: {dispenser.get_device_info()}")
print("=== 测试完成 ===")
if __name__ == "__main__":
asyncio.run(test_solid_dispenser())

View File

@@ -1,11 +1,9 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import socket
import json
import base64
import argparse
import sys
import json
import socket
import time
@@ -96,17 +94,20 @@ class ZhidaClient:
def abort(self) -> dict:
return self._send_command({"command": "abort"})
"""
a,b,c
1,2,4
2,4,5
"""
client = ZhidaClient()
# 连接
client.connect()
# 获取状态
print(client.status)
if __name__ == "__main__":
"""
a,b,c
1,2,4
2,4,5
"""
client = ZhidaClient()
# 连接
client.connect()
# 获取状态
print(client.status)
# 命令格式python zhida.py <subcommand> [options]
# 命令格式python zhida.py <subcommand> [options]

View File

@@ -10,18 +10,88 @@ class Point3D(BaseModel):
# Start Protocols
class PumpTransferProtocol(BaseModel):
# === 核心参数(保持必需) ===
from_vessel: str
to_vessel: str
volume: float
# === 所有其他参数都改为可选,添加默认值 ===
volume: float = 0.0 # 🔧 改为-1表示转移全部体积
amount: str = ""
time: float = 0
time: float = 0.0
viscous: bool = False
rinsing_solvent: str = "air"
rinsing_volume: float = 5000
rinsing_repeats: int = 2
rinsing_solvent: str = ""
rinsing_volume: float = 0.0
rinsing_repeats: int = 0
solid: bool = False
flowrate: float = 500
transfer_flowrate: float = 2500
flowrate: float = 2.5
transfer_flowrate: float = 0.5
# === 新版XDL兼容参数可选 ===
rate_spec: str = ""
event: str = ""
through: str = ""
def model_post_init(self, __context):
"""后处理:智能参数处理和兼容性调整"""
# 如果指定了 amount 但volume是默认值尝试解析 amount
if self.amount and self.volume == 0.0:
parsed_volume = self._parse_amount_to_volume(self.amount)
if parsed_volume > 0:
self.volume = parsed_volume
# 如果指定了 time 但没有明确设置流速,根据时间计算流速
if self.time > 0 and self.volume > 0:
if self.flowrate == 2.5 and self.transfer_flowrate == 0.5:
calculated_flowrate = self.volume / self.time
self.flowrate = min(calculated_flowrate, 10.0)
self.transfer_flowrate = min(calculated_flowrate, 5.0)
# 🔧 核心修复如果flowrate为0ROS2传入使用默认值
if self.flowrate <= 0:
self.flowrate = 2.5
if self.transfer_flowrate <= 0:
self.transfer_flowrate = 0.5
# 根据 rate_spec 调整流速
if self.rate_spec == "dropwise":
self.flowrate = min(self.flowrate, 0.1)
self.transfer_flowrate = min(self.transfer_flowrate, 0.1)
elif self.rate_spec == "slowly":
self.flowrate = min(self.flowrate, 0.5)
self.transfer_flowrate = min(self.transfer_flowrate, 0.3)
elif self.rate_spec == "quickly":
self.flowrate = max(self.flowrate, 5.0)
self.transfer_flowrate = max(self.transfer_flowrate, 2.0)
def _parse_amount_to_volume(self, amount: str) -> float:
"""解析 amount 字符串为体积"""
if not amount:
return 0.0
amount = amount.lower().strip()
# 处理特殊关键词
if amount == "all":
return 0.0 # 🔧 "all"也表示转移全部
# 提取数字
import re
numbers = re.findall(r'[\d.]+', amount)
if numbers:
volume = float(numbers[0])
# 单位转换
if 'ml' in amount or 'milliliter' in amount:
return volume
elif 'l' in amount and 'ml' not in amount:
return volume * 1000
elif 'μl' in amount or 'microliter' in amount:
return volume / 1000
else:
return volume
return 0.0
class CleanProtocol(BaseModel):
@@ -49,17 +119,96 @@ class SeparateProtocol(BaseModel):
class EvaporateProtocol(BaseModel):
vessel: str
pressure: float
temp: float
time: float
stir_speed: float
# === 核心参数(必需) ===
vessel: str = Field(..., description="蒸发容器名称")
# === 所有其他参数都改为可选,添加默认值 ===
pressure: float = Field(0.1, description="真空度 (bar)默认0.1 bar")
temp: float = Field(60.0, description="加热温度 (°C)默认60°C")
time: float = Field(180.0, description="蒸发时间 (秒)默认1800s (30分钟)")
stir_speed: float = Field(100.0, description="旋转速度 (RPM)默认100 RPM")
# === 新版XDL兼容参数可选 ===
solvent: str = Field("", description="溶剂名称(用于识别蒸发的溶剂类型)")
def model_post_init(self, __context):
"""后处理:智能参数处理和兼容性调整"""
# 参数范围验证和修正
if self.pressure <= 0 or self.pressure > 1.0:
logger.warning(f"真空度 {self.pressure} bar 超出范围,修正为 0.1 bar")
self.pressure = 0.1
if self.temp < 10.0 or self.temp > 200.0:
logger.warning(f"温度 {self.temp}°C 超出范围,修正为 60°C")
self.temp = 60.0
if self.time <= 0:
logger.warning(f"时间 {self.time}s 无效,修正为 1800s")
self.time = 1800.0
if self.stir_speed < 10.0 or self.stir_speed > 300.0:
logger.warning(f"旋转速度 {self.stir_speed} RPM 超出范围,修正为 100 RPM")
self.stir_speed = 100.0
# 根据溶剂类型调整参数
if self.solvent:
self._adjust_parameters_by_solvent()
def _adjust_parameters_by_solvent(self):
"""根据溶剂类型调整蒸发参数"""
solvent_lower = self.solvent.lower()
# 水系溶剂:较高温度,较低真空度
if any(s in solvent_lower for s in ['water', 'aqueous', 'h2o']):
if self.temp == 60.0: # 如果是默认值,则调整
self.temp = 80.0
if self.pressure == 0.1:
self.pressure = 0.2
# 有机溶剂:根据沸点调整
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
if self.temp == 60.0:
self.temp = 50.0
if self.pressure == 0.1:
self.pressure = 0.05
# 高沸点溶剂:更高温度
elif any(s in solvent_lower for s in ['dmso', 'dmi', 'toluene']):
if self.temp == 60.0:
self.temp = 100.0
if self.pressure == 0.1:
self.pressure = 0.01
class EvacuateAndRefillProtocol(BaseModel):
vessel: str
gas: str
repeats: int
# === 必需参数 ===
vessel: str = Field(..., description="目标容器名称")
gas: str = Field(..., description="气体名称")
# 🔧 删除 repeats 参数,直接在代码中硬编码为 3 次
def model_post_init(self, __context):
"""后处理:参数验证和兼容性调整"""
# 验证气体名称
if not self.gas.strip():
logger.warning("气体名称为空,使用默认值 'nitrogen'")
self.gas = "nitrogen"
# 标准化气体名称
gas_aliases = {
'n2': 'nitrogen',
'ar': 'argon',
'air': 'air',
'o2': 'oxygen',
'co2': 'carbon_dioxide',
'h2': 'hydrogen'
}
gas_lower = self.gas.lower().strip()
if gas_lower in gas_aliases:
self.gas = gas_aliases[gas_lower]
class AGVTransferProtocol(BaseModel):
@@ -88,42 +237,282 @@ class CentrifugeProtocol(BaseModel):
temp: float
class FilterProtocol(BaseModel):
vessel: str
filtrate_vessel: str
stir: bool
stir_speed: float
temp: float
continue_heatchill: bool
volume: float
# === 必需参数 ===
vessel: str = Field(..., description="过滤容器名称")
# === 可选参数 ===
filtrate_vessel: str = Field("", description="滤液容器名称(可选,自动查找)")
def model_post_init(self, __context):
"""后处理:参数验证"""
# 验证容器名称
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
class HeatChillProtocol(BaseModel):
vessel: str
temp: float
time: float
stir: bool
stir_speed: float
purpose: str
# === 必需参数 ===
vessel: str = Field(..., description="加热容器名称")
# === 可选参数 - 温度相关 ===
temp: float = Field(25.0, description="目标温度 (°C)")
temp_spec: str = Field("", description="温度规格(如 'room temperature', 'reflux'")
# === 可选参数 - 时间相关 ===
time: float = Field(300.0, description="加热时间 (秒)")
time_spec: str = Field("", description="时间规格(如 'overnight', '2 h'")
# === 可选参数 - 其他XDL参数 ===
pressure: str = Field("", description="压力规格(如 '1 mbar'),不做特殊处理")
reflux_solvent: str = Field("", description="回流溶剂名称,不做特殊处理")
# === 可选参数 - 搅拌相关 ===
stir: bool = Field(False, description="是否搅拌")
stir_speed: float = Field(300.0, description="搅拌速度 (RPM)")
purpose: str = Field("", description="操作目的")
def model_post_init(self, __context):
"""后处理:参数验证和解析"""
# 验证必需参数
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
# 温度解析:优先使用 temp_spec然后是 temp
if self.temp_spec:
self.temp = self._parse_temp_spec(self.temp_spec)
# 时间解析:优先使用 time_spec然后是 time
if self.time_spec:
self.time = self._parse_time_spec(self.time_spec)
# 参数范围验证
if self.temp < -50.0 or self.temp > 300.0:
logger.warning(f"温度 {self.temp}°C 超出范围,修正为 25°C")
self.temp = 25.0
if self.time < 0:
logger.warning(f"时间 {self.time}s 无效,修正为 300s")
self.time = 300.0
if self.stir_speed < 0 or self.stir_speed > 1500.0:
logger.warning(f"搅拌速度 {self.stir_speed} RPM 超出范围,修正为 300 RPM")
self.stir_speed = 300.0
def _parse_temp_spec(self, temp_spec: str) -> float:
"""解析温度规格为具体温度"""
temp_spec = temp_spec.strip().lower()
# 特殊温度规格
special_temps = {
"room temperature": 25.0, # 室温
"reflux": 78.0, # 默认回流温度(乙醇沸点)
"ice bath": 0.0, # 冰浴
"boiling": 100.0, # 沸腾
"hot": 60.0, # 热
"warm": 40.0, # 温热
"cold": 10.0, # 冷
}
if temp_spec in special_temps:
return special_temps[temp_spec]
# 解析带单位的温度(如 "256 °C"
import re
temp_pattern = r'(\d+(?:\.\d+)?)\s*°?[cf]?'
match = re.search(temp_pattern, temp_spec)
if match:
return float(match.group(1))
return 25.0 # 默认室温
def _parse_time_spec(self, time_spec: str) -> float:
"""解析时间规格为秒数"""
time_spec = time_spec.strip().lower()
# 特殊时间规格
special_times = {
"overnight": 43200.0, # 12小时
"several hours": 10800.0, # 3小时
"few hours": 7200.0, # 2小时
"long time": 3600.0, # 1小时
"short time": 300.0, # 5分钟
}
if time_spec in special_times:
return special_times[time_spec]
# 解析带单位的时间(如 "2 h"
import re
time_pattern = r'(\d+(?:\.\d+)?)\s*([a-zA-Z]+)'
match = re.search(time_pattern, time_spec)
if match:
value = float(match.group(1))
unit = match.group(2).lower()
unit_multipliers = {
's': 1.0,
'sec': 1.0,
'second': 1.0,
'seconds': 1.0,
'min': 60.0,
'minute': 60.0,
'minutes': 60.0,
'h': 3600.0,
'hr': 3600.0,
'hour': 3600.0,
'hours': 3600.0,
}
multiplier = unit_multipliers.get(unit, 3600.0) # 默认按小时计算
return value * multiplier
return 300.0 # 默认5分钟
class HeatChillStartProtocol(BaseModel):
vessel: str
temp: float
purpose: str
# === 必需参数 ===
vessel: str = Field(..., description="加热容器名称")
# === 可选参数 - 温度相关 ===
temp: float = Field(25.0, description="目标温度 (°C)")
temp_spec: str = Field("", description="温度规格(如 'room temperature', 'reflux'")
# === 可选参数 - 其他XDL参数 ===
pressure: str = Field("", description="压力规格(如 '1 mbar'),不做特殊处理")
reflux_solvent: str = Field("", description="回流溶剂名称,不做特殊处理")
# === 可选参数 - 搅拌相关 ===
stir: bool = Field(False, description="是否搅拌")
stir_speed: float = Field(300.0, description="搅拌速度 (RPM)")
purpose: str = Field("", description="操作目的")
class HeatChillStopProtocol(BaseModel):
vessel: str
# === 必需参数 ===
vessel: str = Field(..., description="加热容器名称")
class StirProtocol(BaseModel):
stir_time: float
stir_speed: float
settling_time: float
# === 必需参数 ===
vessel: str = Field(..., description="搅拌容器名称")
# === 可选参数 ===
time: str = Field("5 min", description="搅拌时间(如 '0.5 h', '30 min'")
event: str = Field("", description="事件标识(如 'A', 'B'")
time_spec: str = Field("", description="时间规格(如 'several minutes', 'overnight'")
def model_post_init(self, __context):
"""后处理:参数验证和时间解析"""
# 验证必需参数
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
# 优先使用 time_spec然后是 time
if self.time_spec:
self.time = self.time_spec
# 时间解析和验证
if self.time:
try:
# 解析时间字符串为秒数
parsed_time = self._parse_time_string(self.time)
if parsed_time <= 0:
logger.warning(f"时间 '{self.time}' 解析结果无效,使用默认值 300s")
self.time = "5 min"
except Exception as e:
logger.warning(f"时间 '{self.time}' 解析失败: {e},使用默认值 300s")
self.time = "5 min"
def _parse_time_string(self, time_str: str) -> float:
"""解析时间字符串为秒数"""
import re
time_str = time_str.strip().lower()
# 特殊时间规格
special_times = {
"several minutes": 300.0, # 5分钟
"few minutes": 180.0, # 3分钟
"overnight": 43200.0, # 12小时
"room temperature": 300.0, # 默认5分钟
}
if time_str in special_times:
return special_times[time_str]
# 正则表达式匹配数字和单位
pattern = r'(\d+\.?\d*)\s*([a-zA-Z]+)'
match = re.match(pattern, time_str)
if not match:
return 300.0 # 默认5分钟
value = float(match.group(1))
unit = match.group(2).lower()
# 时间单位转换
unit_multipliers = {
's': 1.0,
'sec': 1.0,
'second': 1.0,
'seconds': 1.0,
'min': 60.0,
'minute': 60.0,
'minutes': 60.0,
'h': 3600.0,
'hr': 3600.0,
'hour': 3600.0,
'hours': 3600.0,
'd': 86400.0,
'day': 86400.0,
'days': 86400.0,
}
multiplier = unit_multipliers.get(unit, 60.0) # 默认按分钟计算
return value * multiplier
def get_time_in_seconds(self) -> float:
"""获取时间(秒)"""
return self._parse_time_string(self.time)
class StartStirProtocol(BaseModel):
vessel: str
stir_speed: float
purpose: str
# === 必需参数 ===
vessel: str = Field(..., description="搅拌容器名称")
# === 可选参数,添加默认值 ===
stir_speed: float = Field(200.0, description="搅拌速度 (RPM)默认200 RPM")
purpose: str = Field("", description="搅拌目的(可选)")
def model_post_init(self, __context):
"""后处理:参数验证和修正"""
# 验证必需参数
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
# 修正参数范围
if self.stir_speed < 10.0:
logger.warning(f"搅拌速度 {self.stir_speed} RPM 过低,修正为 100 RPM")
self.stir_speed = 100.0
elif self.stir_speed > 1500.0:
logger.warning(f"搅拌速度 {self.stir_speed} RPM 过高,修正为 1000 RPM")
self.stir_speed = 1000.0
class StopStirProtocol(BaseModel):
vessel: str
# === 必需参数 ===
vessel: str = Field(..., description="搅拌容器名称")
def model_post_init(self, __context):
"""后处理:参数验证"""
# 验证必需参数
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
class TransferProtocol(BaseModel):
from_vessel: str
@@ -168,23 +557,87 @@ class RunColumnProtocol(BaseModel):
column: str
class WashSolidProtocol(BaseModel):
vessel: str
solvent: str
volume: float
filtrate_vessel: str = ""
temp: float = 25.0
stir: bool = False
stir_speed: float = 0.0
time: float = 0.0
repeats: int = 1
# === 必需参数 ===
vessel: str = Field(..., description="装有固体的容器名称")
solvent: str = Field(..., description="清洗溶剂名称")
volume: float = Field(..., description="清洗溶剂体积 (mL)")
# === 可选参数,添加默认值 ===
filtrate_vessel: str = Field("", description="滤液收集容器(可选,自动查找)")
temp: float = Field(25.0, description="清洗温度 (°C)默认25°C")
stir: bool = Field(False, description="是否搅拌默认False")
stir_speed: float = Field(0.0, description="搅拌速度 (RPM)默认0")
time: float = Field(0.0, description="清洗时间 (秒)默认0")
repeats: int = Field(1, description="重复次数默认1")
def model_post_init(self, __context):
"""后处理:参数验证和修正"""
# 验证必需参数
if not self.vessel.strip():
raise ValueError("vessel 参数不能为空")
if not self.solvent.strip():
raise ValueError("solvent 参数不能为空")
if self.volume <= 0:
raise ValueError("volume 必须大于0")
# 修正参数范围
if self.temp < 0 or self.temp > 200:
logger.warning(f"温度 {self.temp}°C 超出范围,修正为 25°C")
self.temp = 25.0
if self.stir_speed < 0 or self.stir_speed > 500:
logger.warning(f"搅拌速度 {self.stir_speed} RPM 超出范围,修正为 0")
self.stir_speed = 0.0
if self.time < 0:
logger.warning(f"时间 {self.time}s 无效,修正为 0")
self.time = 0.0
if self.repeats < 1:
logger.warning(f"重复次数 {self.repeats} 无效,修正为 1")
self.repeats = 1
elif self.repeats > 10:
logger.warning(f"重复次数 {self.repeats} 过多,修正为 10")
self.repeats = 10
class AdjustPHProtocol(BaseModel):
vessel: str = Field(..., description="目标容器")
ph_value: float = Field(..., description="目标pH值") # 改为 ph_value
reagent: str = Field(..., description="酸碱试剂名称")
# 移除其他可选参数,使用默认值
class ResetHandlingProtocol(BaseModel):
solvent: str = Field(..., description="溶剂名称")
class DryProtocol(BaseModel):
compound: str = Field(..., description="化合物名称")
vessel: str = Field(..., description="目标容器")
class RecrystallizeProtocol(BaseModel):
ratio: str = Field(..., description="溶剂比例(如 '1:1', '3:7'")
solvent1: str = Field(..., description="第一种溶剂名称")
solvent2: str = Field(..., description="第二种溶剂名称")
vessel: str = Field(..., description="目标容器")
volume: float = Field(..., description="总体积 (mL)")
class HydrogenateProtocol(BaseModel):
temp: str = Field(..., description="反应温度(如 '45 °C'")
time: str = Field(..., description="反应时间(如 '2 h'")
vessel: str = Field(..., description="反应容器")
__all__ = [
"Point3D", "PumpTransferProtocol", "CleanProtocol", "SeparateProtocol",
"EvaporateProtocol", "EvacuateAndRefillProtocol", "AGVTransferProtocol",
"CentrifugeProtocol", "AddProtocol", "FilterProtocol",
"HeatChillProtocol", "HeatChillStartProtocol", "HeatChillStopProtocol",
"HeatChillProtocol",
"HeatChillStartProtocol", "HeatChillStopProtocol",
"StirProtocol", "StartStirProtocol", "StopStirProtocol",
"TransferProtocol", "CleanVesselProtocol", "DissolveProtocol",
"FilterThroughProtocol", "RunColumnProtocol", "WashSolidProtocol"
"FilterThroughProtocol", "RunColumnProtocol", "WashSolidProtocol",
"AdjustPHProtocol", "ResetHandlingProtocol", "DryProtocol",
"RecrystallizeProtocol", "HydrogenateProtocol"
]
# End Protocols

View File

@@ -1,10 +1,10 @@
io_snrd:
description: IO Board with 16 IOs
class:
module: ilabos.device_comms.SRND_16_IO:SRND_16_IO
type: python
hardware_interface:
name: modbus_client
extra_info: []
read: read_io_coil
write: write_io_coil
#io_snrd:
# description: IO Board with 16 IOs
# class:
# module: unilabos.device_comms.SRND_16_IO:SRND_16_IO
# type: python
# hardware_interface:
# name: modbus_client
# extra_info: []
# read: read_io_coil
# write: write_io_coil

View File

@@ -1,7 +1,102 @@
serial:
description: Serial communication interface, used when sharing same serial port for multiple devices
class:
action_value_mappings:
auto-handle_serial_request:
feedback: {}
goal: {}
goal_default:
request: null
response: null
handles: []
result: {}
schema:
description: handle_serial_request的参数schema
properties:
feedback: {}
goal:
properties:
request:
type: string
response:
type: string
required:
- request
- response
type: object
result: {}
required:
- goal
title: handle_serial_request参数
type: object
type: UniLabJsonCommand
auto-read_data:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: read_data的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: read_data参数
type: object
type: UniLabJsonCommand
auto-send_command:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: send_command的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: send_command参数
type: object
type: UniLabJsonCommand
module: unilabos.ros.nodes.presets.serial_node:ROS2SerialNode
status_types: {}
type: ros2
schema:
properties: {}
description: Serial communication interface, used when sharing same serial port
for multiple devices
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 9600
type: integer
device_id:
type: string
port:
type: string
resource_tracker:
type: string
required:
- device_id
- port
type: object
data:
properties: {}
required: []
type: object

View File

@@ -0,0 +1,69 @@
camera:
class:
action_value_mappings:
auto-destroy_node:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: destroy_node的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: destroy_node参数
type: object
type: UniLabJsonCommand
auto-timer_callback:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: timer_callback的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: timer_callback参数
type: object
type: UniLabJsonCommand
module: unilabos.ros.nodes.presets.camera:VideoPublisher
status_types: {}
type: ros2
description: ''
handles: []
icon: ''
init_param_schema:
config:
properties:
camera_index:
default: 0
type: string
device_id:
default: video_publisher
type: string
period:
default: 0.1
type: number
resource_tracker:
type: string
required: []
type: object
data:
properties: {}
required: []
type: object

View File

@@ -1,67 +1,433 @@
# 光学表征设备:红外、紫外可见、拉曼等
raman_home_made:
description: Raman spectroscopy device
class:
module: unilabos.devices.raman_uv.home_made_raman:RamanObj
type: python
status_types:
status: String
action_value_mappings:
raman_cmd:
type: SendCmd
goal:
command: command
feedback: {}
result:
success: success
schema:
properties:
status:
type: string
required:
- status
additionalProperties: false
type: object
hplc.agilent:
description: HPLC device
class:
module: unilabos.devices.hplc.AgilentHPLC:HPLCDriver
type: python
status_types:
device_status: String
could_run: Bool
driver_init_ok: Bool
is_running: Bool
finish_status: String
status_text: String
action_value_mappings:
auto-check_status:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: check_status的参数schema
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: extract_data_from_txt的参数schema
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: start_sequence的参数schema
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: try_close_sub_device的参数schema
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: try_open_sub_device的参数schema
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:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
properties:
device_status:
type: string
could_run:
type: boolean
driver_init_ok:
type: boolean
is_running:
type: boolean
finish_status:
type: string
status_text:
type: string
required:
- device_status
- could_run
- driver_init_ok
- is_running
- finish_status
- status_text
additionalProperties: false
type: object
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
description: HPLC device
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
raman_home_made:
class:
action_value_mappings:
auto-ccd_time:
feedback: {}
goal: {}
goal_default:
int_time: null
handles: []
result: {}
schema:
description: ccd_time的参数schema
properties:
feedback: {}
goal:
properties:
int_time:
type: string
required:
- int_time
type: object
result: {}
required:
- goal
title: ccd_time参数
type: object
type: UniLabJsonCommand
auto-laser_on_power:
feedback: {}
goal: {}
goal_default:
output_voltage_laser: null
handles: []
result: {}
schema:
description: laser_on_power的参数schema
properties:
feedback: {}
goal:
properties:
output_voltage_laser:
type: string
required:
- output_voltage_laser
type: object
result: {}
required:
- goal
title: laser_on_power参数
type: object
type: UniLabJsonCommand
auto-raman_cmd:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: raman_cmd的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: raman_cmd参数
type: object
type: UniLabJsonCommand
auto-raman_without_background:
feedback: {}
goal: {}
goal_default:
int_time: null
laser_power: null
handles: []
result: {}
schema:
description: raman_without_background的参数schema
properties:
feedback: {}
goal:
properties:
int_time:
type: string
laser_power:
type: string
required:
- int_time
- laser_power
type: object
result: {}
required:
- goal
title: raman_without_background参数
type: object
type: UniLabJsonCommand
auto-raman_without_background_average:
feedback: {}
goal: {}
goal_default:
average: null
int_time: null
laser_power: null
sample_name: null
handles: []
result: {}
schema:
description: raman_without_background_average的参数schema
properties:
feedback: {}
goal:
properties:
average:
type: string
int_time:
type: string
laser_power:
type: string
sample_name:
type: string
required:
- sample_name
- int_time
- laser_power
- average
type: object
result: {}
required:
- goal
title: raman_without_background_average参数
type: object
type: UniLabJsonCommand
raman_cmd:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.raman_uv.home_made_raman:RamanObj
status_types: {}
type: python
description: Raman spectroscopy device
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate_ccd:
default: 921600
type: string
baudrate_laser:
default: 9600
type: string
port_ccd:
type: string
port_laser:
type: string
required:
- port_laser
- port_ccd
type: object
data:
properties: {}
required: []
type: object

View File

@@ -1,9 +1,31 @@
hotel.thermo_orbitor_rs2_hotel:
description: Thermo Orbitor RS2 Hotel
class:
class:
action_value_mappings: {}
module: unilabos.devices.resource_container.container:HotelContainer
status_types:
rotation: String
type: python
description: Thermo Orbitor RS2 Hotel
handles: []
icon: ''
init_param_schema:
config:
properties:
device_config:
type: object
rotation:
type: object
required:
- rotation
- device_config
type: object
data:
properties:
rotation:
type: string
required:
- rotation
type: object
model:
type: device
mesh: thermo_orbitor_rs2_hotel
type: device

View File

@@ -1,56 +1,582 @@
laiyu_add_solid:
description: Laiyu Add Solid
class:
module: unilabos.devices.laiyu_add_solid.laiyu:Laiyu
type: python
status_types: {}
action_value_mappings:
add_powder_tube:
feedback: {}
goal:
compound_mass: compound_mass
powder_tube_number: powder_tube_number
target_tube_position: target_tube_position
goal_default:
compound_mass: 0.0
powder_tube_number: 0
target_tube_position: ''
handles: []
result:
actual_mass_mg: actual_mass_mg
schema:
description: ROS Action SolidDispenseAddPowderTube 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: SolidDispenseAddPowderTube_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
compound_mass:
type: number
powder_tube_number:
maximum: 2147483647
minimum: -2147483648
type: integer
target_tube_position:
type: string
required:
- powder_tube_number
- target_tube_position
- compound_mass
title: SolidDispenseAddPowderTube_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
actual_mass_mg:
type: number
return_info:
type: string
success:
type: boolean
required:
- return_info
- actual_mass_mg
- success
title: SolidDispenseAddPowderTube_Result
type: object
required:
- goal
title: SolidDispenseAddPowderTube
type: object
type: SolidDispenseAddPowderTube
auto-add_powder_tube:
feedback: {}
goal: {}
goal_default:
compound_mass: null
powder_tube_number: null
target_tube_position: null
handles: []
result: {}
schema:
description: add_powder_tube的参数schema
properties:
feedback: {}
goal:
properties:
compound_mass:
type: string
powder_tube_number:
type: string
target_tube_position:
type: string
required:
- powder_tube_number
- target_tube_position
- compound_mass
type: object
result: {}
required:
- goal
title: add_powder_tube参数
type: object
type: UniLabJsonCommand
auto-calculate_crc:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: calculate_crc的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: calculate_crc参数
type: object
type: UniLabJsonCommand
auto-discharge:
feedback: {}
goal: {}
goal_default:
float_in: null
handles: []
result: {}
schema:
description: discharge的参数schema
properties:
feedback: {}
goal:
properties:
float_in:
type: number
required:
- float_in
type: object
result: {}
required:
- goal
title: discharge参数
type: object
type: UniLabJsonCommand
auto-move_to_plate:
feedback: {}
goal: {}
goal_default:
string: null
handles: []
result: {}
schema:
description: move_to_plate的参数schema
properties:
feedback: {}
goal:
properties:
string:
type: string
required:
- string
type: object
result: {}
required:
- goal
title: move_to_plate参数
type: object
type: UniLabJsonCommand
auto-move_to_xyz:
feedback: {}
goal: {}
goal_default:
x: null
y: null
z: null
handles: []
result: {}
schema:
description: move_to_xyz的参数schema
properties:
feedback: {}
goal:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
type: object
result: {}
required:
- goal
title: move_to_xyz参数
type: object
type: UniLabJsonCommand
auto-pick_powder_tube:
feedback: {}
goal: {}
goal_default:
int_input: null
handles: []
result: {}
schema:
description: pick_powder_tube的参数schema
properties:
feedback: {}
goal:
properties:
int_input:
type: integer
required:
- int_input
type: object
result: {}
required:
- goal
title: pick_powder_tube参数
type: object
type: UniLabJsonCommand
auto-put_powder_tube:
feedback: {}
goal: {}
goal_default:
int_input: null
handles: []
result: {}
schema:
description: put_powder_tube的参数schema
properties:
feedback: {}
goal:
properties:
int_input:
type: integer
required:
- int_input
type: object
result: {}
required:
- goal
title: put_powder_tube参数
type: object
type: UniLabJsonCommand
auto-reset:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: reset的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: reset参数
type: object
type: UniLabJsonCommand
auto-send_command:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: send_command的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: send_command参数
type: object
type: UniLabJsonCommand
discharge:
feedback: {}
goal:
float_input: float_input
goal_default:
float_in: 0.0
handles: []
result: {}
schema:
description: ROS Action FloatSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: FloatSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
float_in:
type: number
required:
- float_in
title: FloatSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: FloatSingleInput_Result
type: object
required:
- goal
title: FloatSingleInput
type: object
type: FloatSingleInput
move_to_plate:
feedback: {}
goal:
string: string
goal_default:
string: ''
handles: []
result: {}
schema:
description: ROS Action StrSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
move_to_xyz:
type: Point3DSeparateInput
feedback: {}
goal:
x: x
y: y
z: z
feedback: {}
goal_default:
x: 0.0
y: 0.0
z: 0.0
handles: []
result: {}
schema:
description: ROS Action Point3DSeparateInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: Point3DSeparateInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: Point3DSeparateInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: Point3DSeparateInput_Result
type: object
required:
- goal
title: Point3DSeparateInput
type: object
type: Point3DSeparateInput
pick_powder_tube:
type: IntSingleInput
feedback: {}
goal:
int_input: int_input
feedback: {}
goal_default:
int_input: 0
handles: []
result: {}
schema:
description: ROS Action IntSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: IntSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
int_input:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- int_input
title: IntSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: IntSingleInput_Result
type: object
required:
- goal
title: IntSingleInput
type: object
type: IntSingleInput
put_powder_tube:
type: IntSingleInput
feedback: {}
goal:
int_input: int_input
feedback: {}
goal_default:
int_input: 0
handles: []
result: {}
schema:
description: ROS Action IntSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: IntSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
int_input:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- int_input
title: IntSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
success:
type: boolean
required:
- return_info
- success
title: IntSingleInput_Result
type: object
required:
- goal
title: IntSingleInput
type: object
type: IntSingleInput
reset:
type: EmptyIn
feedback: {}
goal: {}
feedback: {}
goal_default: {}
handles: []
result: {}
add_powder_tube:
type: SolidDispenseAddPowderTube
goal:
powder_tube_number: powder_tube_number
target_tube_position: target_tube_position
compound_mass: compound_mass
feedback: {}
result:
actual_mass_mg: actual_mass_mg
move_to_plate:
type: StrSingleInput
goal:
string: string
feedback: {}
result: {}
discharge:
type: FloatSingleInput
goal:
float_input: float_input
feedback: {}
result: {}
schema:
properties: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
module: unilabos.devices.laiyu_add_solid.laiyu:Laiyu
status_types:
status: str
type: python
description: Laiyu Add Solid
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 115200
type: string
port:
type: string
timeout:
default: 0.5
type: string
required:
- port
type: object
data:
properties:
status:
type: string
required:
- status
type: object

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@@ -1,56 +1,858 @@
moveit.toyo_xyz:
description: Toyo XYZ
class:
module: unilabos.devices.ros_dev.moveit_interface:MoveitInterface
type: python
action_value_mappings:
set_position:
type: SendCmd
goal:
command: command
feedback: { }
result: { }
pick_and_place:
type: SendCmd
goal:
command: command
feedback: { }
result: { }
set_status:
type: SendCmd
goal:
command: command
feedback: { }
result: { }
model:
type: device
mesh: toyo_xyz
moveit.arm_slider:
description: Arm with Slider
model:
type: device
mesh: arm_slider
class:
module: unilabos.devices.ros_dev.moveit_interface:MoveitInterface
type: python
action_value_mappings:
set_position:
type: SendCmd
goal:
command: command
auto-check_tf_update_actions:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: check_tf_update_actions的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: check_tf_update_actions参数
type: object
type: UniLabJsonCommand
auto-moveit_joint_task:
feedback: {}
goal: {}
goal_default:
joint_names: null
joint_positions: null
move_group: null
retry: 10
speed: 1
handles: []
result: {}
schema:
description: moveit_joint_task的参数schema
properties:
feedback: {}
goal:
properties:
joint_names:
type: string
joint_positions:
type: string
move_group:
type: string
retry:
default: 10
type: string
speed:
default: 1
type: string
required:
- move_group
- joint_positions
type: object
result: {}
required:
- goal
title: moveit_joint_task参数
type: object
type: UniLabJsonCommand
auto-moveit_task:
feedback: {}
goal: {}
goal_default:
cartesian: false
move_group: null
offsets:
- 0
- 0
- 0
position: null
quaternion: null
retry: 10
speed: 1
target_link: null
handles: []
result: {}
schema:
description: moveit_task的参数schema
properties:
feedback: {}
goal:
properties:
cartesian:
default: false
type: string
move_group:
type: string
offsets:
default:
- 0
- 0
- 0
type: string
position:
type: string
quaternion:
type: string
retry:
default: 10
type: string
speed:
default: 1
type: string
target_link:
type: string
required:
- move_group
- position
- quaternion
type: object
result: {}
required:
- goal
title: moveit_task参数
type: object
type: UniLabJsonCommand
auto-pick_and_place:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: pick_and_place的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: pick_and_place参数
type: object
type: UniLabJsonCommand
auto-post_init:
feedback: {}
goal: {}
goal_default:
ros_node: null
handles: []
result: {}
schema:
description: post_init的参数schema
properties:
feedback: {}
goal:
properties:
ros_node:
type: string
required:
- ros_node
type: object
result: {}
required:
- goal
title: post_init参数
type: object
type: UniLabJsonCommand
auto-resource_manager:
feedback: {}
goal: {}
goal_default:
parent_link: null
resource: null
handles: []
result: {}
schema:
description: resource_manager的参数schema
properties:
feedback: {}
goal:
properties:
parent_link:
type: string
resource:
type: string
required:
- resource
- parent_link
type: object
result: {}
required:
- goal
title: resource_manager参数
type: object
type: UniLabJsonCommand
auto-set_position:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_position的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_position参数
type: object
type: UniLabJsonCommand
auto-set_status:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_status的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_status参数
type: object
type: UniLabJsonCommand
auto-wait_for_resource_action:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_for_resource_action的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_for_resource_action参数
type: object
type: UniLabJsonCommand
pick_and_place:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
set_position:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
set_status:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.ros_dev.moveit_interface:MoveitInterface
status_types: {}
type: python
description: Arm with Slider
handles: []
icon: ''
init_param_schema:
config:
properties:
device_config:
type: string
joint_poses:
type: string
moveit_type:
type: string
rotation:
type: string
required:
- moveit_type
- joint_poses
type: object
data:
properties: {}
required: []
type: object
model:
mesh: arm_slider
type: device
moveit.toyo_xyz:
class:
action_value_mappings:
auto-check_tf_update_actions:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: check_tf_update_actions的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: check_tf_update_actions参数
type: object
type: UniLabJsonCommand
auto-moveit_joint_task:
feedback: {}
goal: {}
goal_default:
joint_names: null
joint_positions: null
move_group: null
retry: 10
speed: 1
handles: []
result: {}
schema:
description: moveit_joint_task的参数schema
properties:
feedback: {}
goal:
properties:
joint_names:
type: string
joint_positions:
type: string
move_group:
type: string
retry:
default: 10
type: string
speed:
default: 1
type: string
required:
- move_group
- joint_positions
type: object
result: {}
required:
- goal
title: moveit_joint_task参数
type: object
type: UniLabJsonCommand
auto-moveit_task:
feedback: {}
goal: {}
goal_default:
cartesian: false
move_group: null
offsets:
- 0
- 0
- 0
position: null
quaternion: null
retry: 10
speed: 1
target_link: null
handles: []
result: {}
schema:
description: moveit_task的参数schema
properties:
feedback: {}
goal:
properties:
cartesian:
default: false
type: string
move_group:
type: string
offsets:
default:
- 0
- 0
- 0
type: string
position:
type: string
quaternion:
type: string
retry:
default: 10
type: string
speed:
default: 1
type: string
target_link:
type: string
required:
- move_group
- position
- quaternion
type: object
result: {}
required:
- goal
title: moveit_task参数
type: object
type: UniLabJsonCommand
auto-pick_and_place:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: pick_and_place的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: pick_and_place参数
type: object
type: UniLabJsonCommand
auto-post_init:
feedback: {}
goal: {}
goal_default:
ros_node: null
handles: []
result: {}
schema:
description: post_init的参数schema
properties:
feedback: {}
goal:
properties:
ros_node:
type: string
required:
- ros_node
type: object
result: {}
required:
- goal
title: post_init参数
type: object
type: UniLabJsonCommand
auto-resource_manager:
feedback: {}
goal: {}
goal_default:
parent_link: null
resource: null
handles: []
result: {}
schema:
description: resource_manager的参数schema
properties:
feedback: {}
goal:
properties:
parent_link:
type: string
resource:
type: string
required:
- resource
- parent_link
type: object
result: {}
required:
- goal
title: resource_manager参数
type: object
type: UniLabJsonCommand
auto-set_position:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_position的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_position参数
type: object
type: UniLabJsonCommand
auto-set_status:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_status的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_status参数
type: object
type: UniLabJsonCommand
auto-wait_for_resource_action:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_for_resource_action的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_for_resource_action参数
type: object
type: UniLabJsonCommand
pick_and_place:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
set_position:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
set_status:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result: {}
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.ros_dev.moveit_interface:MoveitInterface
status_types: {}
type: python
description: Toyo XYZ
handles: []
icon: ''
init_param_schema:
config:
properties:
device_config:
type: string
joint_poses:
type: string
moveit_type:
type: string
rotation:
type: string
required:
- moveit_type
- joint_poses
type: object
data:
properties: {}
required: []
type: object
model:
mesh: toyo_xyz
type: device

View File

@@ -1,73 +1,470 @@
separator.homemade:
description: Separator device with homemade grbl controller
class:
module: unilabos.devices.separator.homemade_grbl_conductivity:SeparatorController
type: python
status_types:
sensordata: Float64
status: String
action_value_mappings:
stir:
type: Stir
goal:
stir_time: stir_time,
stir_speed: stir_speed
settling_time: settling_time
feedback:
status: status
result:
success: success
valve_open_cmd:
type: SendCmd
goal:
command: command
feedback:
status: status
result":
success: success
schema:
type: object
properties:
status:
type: string
description: The status of the device
sensordata:
type: number
description: 电导传感器数据
required:
- status
- sensordata
additionalProperties: false
rotavap.one:
description: Rotavap device
class:
module: unilabos.devices.rotavap.rotavap_one:RotavapOne
type: python
status_types:
pump_time: Float64
rotate_time: Float64
action_value_mappings:
auto-cmd_write:
feedback: {}
goal: {}
goal_default:
cmd: null
handles: []
result: {}
schema:
description: cmd_write的参数schema
properties:
feedback: {}
goal:
properties:
cmd:
type: string
required:
- cmd
type: object
result: {}
required:
- goal
title: cmd_write参数
type: object
type: UniLabJsonCommand
auto-main_loop:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: main_loop的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: main_loop参数
type: object
type: UniLabJsonCommand
auto-set_pump_time:
feedback: {}
goal: {}
goal_default:
time: null
handles: []
result: {}
schema:
description: set_pump_time的参数schema
properties:
feedback: {}
goal:
properties:
time:
type: string
required:
- time
type: object
result: {}
required:
- goal
title: set_pump_time参数
type: object
type: UniLabJsonCommand
auto-set_rotate_time:
feedback: {}
goal: {}
goal_default:
time: null
handles: []
result: {}
schema:
description: set_rotate_time的参数schema
properties:
feedback: {}
goal:
properties:
time:
type: string
required:
- time
type: object
result: {}
required:
- goal
title: set_rotate_time参数
type: object
type: UniLabJsonCommand
auto-set_timer:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_timer的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_timer参数
type: object
type: UniLabJsonCommand
set_timer:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
type: object
properties:
temperature:
type: number
description: 旋蒸水浴温度
pump_time:
type: number
description: The pump time of the device
rotate_time:
type: number
description: The rotate time of the device
required:
- pump_time
- rotate_time
additionalProperties: false
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.rotavap.rotavap_one:RotavapOne
status_types: {}
type: python
description: Rotavap device
handles: []
icon: ''
init_param_schema:
config:
properties:
port:
type: string
rate:
default: 9600
type: string
required:
- port
type: object
data:
properties: {}
required: []
type: object
separator.homemade:
class:
action_value_mappings:
auto-read_sensor_loop:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: read_sensor_loop的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: read_sensor_loop参数
type: object
type: UniLabJsonCommand
auto-stir:
feedback: {}
goal: {}
goal_default:
settling_time: 10
stir_speed: 300
stir_time: 10
handles: []
result: {}
schema:
description: stir的参数schema
properties:
feedback: {}
goal:
properties:
settling_time:
default: 10
type: number
stir_speed:
default: 300
type: number
stir_time:
default: 10
type: number
required: []
type: object
result: {}
required:
- goal
title: stir参数
type: object
type: UniLabJsonCommand
auto-valve_open:
feedback: {}
goal: {}
goal_default:
condition: null
value: null
handles: []
result: {}
schema:
description: valve_open的参数schema
properties:
feedback: {}
goal:
properties:
condition:
type: string
value:
type: string
required:
- condition
- value
type: object
result: {}
required:
- goal
title: valve_open参数
type: object
type: UniLabJsonCommand
auto-valve_open_cmd:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: valve_open_cmd的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: valve_open_cmd参数
type: object
type: UniLabJsonCommand
auto-write:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: write的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: write参数
type: object
type: UniLabJsonCommand
stir:
feedback:
status: status
goal:
settling_time: settling_time
stir_speed: stir_speed
stir_time: stir_time,
goal_default:
event: ''
settling_time: 0.0
stir_speed: 0.0
stir_time: 0.0
time: ''
time_spec: ''
vessel: ''
handles: []
result:
success: success
schema:
description: ROS Action Stir 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: Stir_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
event:
type: string
settling_time:
type: number
stir_speed:
type: number
stir_time:
type: number
time:
type: string
time_spec:
type: string
vessel:
type: string
required:
- vessel
- time
- event
- time_spec
- stir_time
- stir_speed
- settling_time
title: Stir_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
message:
type: string
return_info:
type: string
success:
type: boolean
required:
- success
- message
- return_info
title: Stir_Result
type: object
required:
- goal
title: Stir
type: object
type: Stir
valve_open_cmd:
feedback:
status: status
goal:
command: command
goal_default:
command: ''
handles: []
result":
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.separator.homemade_grbl_conductivity:SeparatorController
status_types: {}
type: python
description: Separator device with homemade grbl controller
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate_executor:
default: 115200
type: integer
baudrate_sensor:
default: 115200
type: integer
port_executor:
type: string
port_sensor:
type: string
required:
- port_executor
- port_sensor
type: object
data:
properties: {}
required: []
type: object

View File

@@ -1,85 +1,877 @@
syringe_pump_with_valve.runze:
description: Runze Syringe pump with valve
solenoid_valve:
class:
module: unilabos.devices.pump_and_valve.runze_backbone:RunzeSyringePump
action_value_mappings:
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-is_closed:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_closed的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_closed参数
type: object
type: UniLabJsonCommand
auto-is_open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_open参数
type: object
type: UniLabJsonCommand
auto-open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: open参数
type: object
type: UniLabJsonCommand
auto-read_data:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: read_data的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: read_data参数
type: object
type: UniLabJsonCommand
auto-send_command:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: send_command的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: send_command参数
type: object
type: UniLabJsonCommand
auto-set_valve_position:
feedback: {}
goal: {}
goal_default:
position: null
handles: []
result: {}
schema:
description: set_valve_position的参数schema
properties:
feedback: {}
goal:
properties:
position:
type: string
required:
- position
type: object
result: {}
required:
- goal
title: set_valve_position参数
type: object
type: UniLabJsonCommand
set_valve_position:
feedback: {}
goal:
string: position
goal_default:
string: ''
handles: []
result: {}
schema:
description: ROS Action StrSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.pump_and_valve.solenoid_valve:SolenoidValve
status_types:
status: str
valve_position: str
type: python
description: Solenoid valve
handles: []
icon: ''
init_param_schema:
config:
properties:
io_device_port:
type: string
required:
- io_device_port
type: object
data:
properties:
status:
type: string
valve_position:
type: string
required:
- status
- valve_position
type: object
solenoid_valve.mock:
class:
action_value_mappings:
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-is_closed:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_closed的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_closed参数
type: object
type: UniLabJsonCommand
auto-is_open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_open参数
type: object
type: UniLabJsonCommand
auto-open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: open参数
type: object
type: UniLabJsonCommand
auto-set_valve_position:
feedback: {}
goal: {}
goal_default:
position: null
handles: []
result: {}
schema:
description: set_valve_position的参数schema
properties:
feedback: {}
goal:
properties:
position:
type: string
required:
- position
type: object
result: {}
required:
- goal
title: set_valve_position参数
type: object
type: UniLabJsonCommand
close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
module: unilabos.devices.pump_and_valve.solenoid_valve_mock:SolenoidValveMock
status_types:
status: str
valve_position: str
type: python
description: Mock solenoid valve
handles:
- data_type: fluid
handler_key: in
io_type: target
label: in
side: NORTH
- data_type: fluid
handler_key: out
io_type: source
label: out
side: SOUTH
icon: ''
init_param_schema:
config:
properties:
port:
default: COM6
type: string
required: []
type: object
data:
properties:
status:
type: string
valve_position:
type: string
required:
- status
- valve_position
type: object
syringe_pump_with_valve.runze:
class:
action_value_mappings:
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-initialize:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: initialize的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: initialize参数
type: object
type: UniLabJsonCommand
auto-pull_plunger:
feedback: {}
goal: {}
goal_default:
volume: null
handles: []
result: {}
schema:
description: pull_plunger的参数schema
properties:
feedback: {}
goal:
properties:
volume:
type: number
required:
- volume
type: object
result: {}
required:
- goal
title: pull_plunger参数
type: object
type: UniLabJsonCommand
auto-push_plunger:
feedback: {}
goal: {}
goal_default:
volume: null
handles: []
result: {}
schema:
description: push_plunger的参数schema
properties:
feedback: {}
goal:
properties:
volume:
type: number
required:
- volume
type: object
result: {}
required:
- goal
title: push_plunger参数
type: object
type: UniLabJsonCommand
auto-query_aux_input_status_1:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: query_aux_input_status_1的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: query_aux_input_status_1参数
type: object
type: UniLabJsonCommand
auto-query_aux_input_status_2:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: query_aux_input_status_2的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: query_aux_input_status_2参数
type: object
type: UniLabJsonCommand
auto-query_backlash_position:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: query_backlash_position的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: query_backlash_position参数
type: object
type: UniLabJsonCommand
auto-query_command_buffer_status:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: query_command_buffer_status的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: query_command_buffer_status参数
type: object
type: UniLabJsonCommand
auto-query_software_version:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: query_software_version的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: query_software_version参数
type: object
type: UniLabJsonCommand
auto-send_command:
feedback: {}
goal: {}
goal_default:
full_command: null
handles: []
result: {}
schema:
description: send_command的参数schema
properties:
feedback: {}
goal:
properties:
full_command:
type: string
required:
- full_command
type: object
result: {}
required:
- goal
title: send_command参数
type: object
type: UniLabJsonCommand
auto-set_baudrate:
feedback: {}
goal: {}
goal_default:
baudrate: null
handles: []
result: {}
schema:
description: set_baudrate的参数schema
properties:
feedback: {}
goal:
properties:
baudrate:
type: string
required:
- baudrate
type: object
result: {}
required:
- goal
title: set_baudrate参数
type: object
type: UniLabJsonCommand
auto-set_max_velocity:
feedback: {}
goal: {}
goal_default:
velocity: null
handles: []
result: {}
schema:
description: set_max_velocity的参数schema
properties:
feedback: {}
goal:
properties:
velocity:
type: number
required:
- velocity
type: object
result: {}
required:
- goal
title: set_max_velocity参数
type: object
type: UniLabJsonCommand
auto-set_position:
feedback: {}
goal: {}
goal_default:
max_velocity: null
position: null
handles: []
result: {}
schema:
description: set_position的参数schema
properties:
feedback: {}
goal:
properties:
max_velocity:
type: number
position:
type: number
required:
- position
type: object
result: {}
required:
- goal
title: set_position参数
type: object
type: UniLabJsonCommand
auto-set_valve_position:
feedback: {}
goal: {}
goal_default:
position: null
handles: []
result: {}
schema:
description: set_valve_position的参数schema
properties:
feedback: {}
goal:
properties:
position:
type: string
required:
- position
type: object
result: {}
required:
- goal
title: set_valve_position参数
type: object
type: UniLabJsonCommand
auto-set_velocity_grade:
feedback: {}
goal: {}
goal_default:
velocity: null
handles: []
result: {}
schema:
description: set_velocity_grade的参数schema
properties:
feedback: {}
goal:
properties:
velocity:
type: string
required:
- velocity
type: object
result: {}
required:
- goal
title: set_velocity_grade参数
type: object
type: UniLabJsonCommand
auto-stop_operation:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: stop_operation的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: stop_operation参数
type: object
type: UniLabJsonCommand
auto-wait_error:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_error的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_error参数
type: object
type: UniLabJsonCommand
hardware_interface:
name: hardware_interface
read: send_command
write: send_command
schema:
type: object
properties:
status:
type: string
description: The status of the device
position:
type: number
description: The volume of the syringe
speed_max:
type: number
description: The speed of the syringe
valve_position:
type: string
description: The position of the valve
required:
- status
- position
- valve_position
additionalProperties: false
solenoid_valve.mock:
description: Mock solenoid valve
class:
module: unilabos.devices.pump_and_valve.solenoid_valve_mock:SolenoidValveMock
type: python
module: unilabos.devices.pump_and_valve.runze_backbone:RunzeSyringePump
status_types:
status: String
valve_position: String
action_value_mappings:
open:
type: EmptyIn
goal: {}
feedback: {}
result: {}
close:
type: EmptyIn
goal: {}
feedback: {}
result: {}
handles:
- handler_key: in
label: in
io_type: target
data_type: fluid
side: NORTH
- handler_key: out
label: out
io_type: source
data_type: fluid
side: SOUTH
max_velocity: float
mode: int
plunger_position: String
position: float
status: str
valve_position: str
velocity_end: String
velocity_grade: String
velocity_init: String
type: python
description: Runze Syringe pump with valve
handles: []
icon: ''
init_param_schema:
type: object
properties:
port:
type: string
description: "通信端口"
default: "COM6"
required:
- port
solenoid_valve:
description: Solenoid valve
class:
module: unilabos.devices.pump_and_valve.solenoid_valve:SolenoidValve
type: python
status_types:
status: String
valve_position: String
action_value_mappings:
set_valve_position:
type: StrSingleInput
goal:
string: position
feedback: {}
result: {}
config:
properties:
address:
default: '1'
type: string
max_volume:
default: 25.0
type: number
mode:
type: string
port:
type: string
required:
- port
type: object
data:
properties:
max_velocity:
type: number
mode:
type: integer
plunger_position:
type: string
position:
type: number
status:
type: string
valve_position:
type: string
velocity_end:
type: string
velocity_grade:
type: string
velocity_init:
type: string
required:
- status
- mode
- max_velocity
- velocity_grade
- velocity_init
- velocity_end
- valve_position
- position
- plunger_position
type: object

View File

@@ -1,29 +1,132 @@
# 仙工智能底盘(知行使用)
agv.SEER:
description: SEER AGV
class:
module: unilabos.devices.agv.agv_navigator:AgvNavigator
type: python
status_types:
pose: Float64MultiArray
status: String
action_value_mappings:
auto-send:
feedback: {}
goal: {}
goal_default:
cmd: null
ex_data: ''
obj: receive_socket
handles: []
result: {}
schema:
description: send的参数schema
properties:
feedback: {}
goal:
properties:
cmd:
type: string
ex_data:
default: ''
type: string
obj:
default: receive_socket
type: string
required:
- cmd
type: object
result: {}
required:
- goal
title: send参数
type: object
type: UniLabJsonCommand
auto-send_nav_task:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: send_nav_task的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: send_nav_task参数
type: object
type: UniLabJsonCommand
send_nav_task:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
properties:
pose:
type: array
items:
type: number
status:
type: string
required:
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.agv.agv_navigator:AgvNavigator
status_types:
pose: list
status: str
type: python
description: SEER AGV
handles: []
icon: ''
init_param_schema:
config:
properties:
host:
type: string
required:
- host
type: object
data:
properties:
pose:
type: array
status:
type: string
required:
- pose
- status
additionalProperties: false
type: object
type: object

View File

@@ -1,37 +1,199 @@
robotic_arm.UR:
description: UR robotic arm
class:
module: unilabos.devices.agv.ur_arm_task:UrArmTask
type: python
status_types:
arm_pose: Float64MultiArray
gripper_pose: Float64
arm_status: String
gripper_status: String
action_value_mappings:
auto-arm_init:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: arm_init的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: arm_init参数
type: object
type: UniLabJsonCommand
auto-load_pose_data:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: load_pose_data的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: load_pose_data参数
type: object
type: UniLabJsonCommand
auto-load_pose_file:
feedback: {}
goal: {}
goal_default:
file: null
handles: []
result: {}
schema:
description: load_pose_file的参数schema
properties:
feedback: {}
goal:
properties:
file:
type: string
required:
- file
type: object
result: {}
required:
- goal
title: load_pose_file参数
type: object
type: UniLabJsonCommand
auto-move_pos_task:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: move_pos_task的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: move_pos_task参数
type: object
type: UniLabJsonCommand
auto-reload_pose:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: reload_pose的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: reload_pose参数
type: object
type: UniLabJsonCommand
move_pos_task:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
properties:
arm_pose:
type: array
items:
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.agv.ur_arm_task:UrArmTask
status_types:
arm_pose: list
arm_status: str
gripper_pose: float
gripper_status: str
type: python
description: UR robotic arm
handles: []
icon: ''
init_param_schema:
config:
properties:
host:
type: string
retry:
default: 30
type: string
required:
- host
type: object
data:
properties:
arm_pose:
type: array
arm_status:
type: string
gripper_pose:
type: number
gripper_pose:
type: number
arm_status:
type: string
description: 机械臂设备状态
gripper_status:
type: string
description: 机械爪设备状态
required:
gripper_status:
type: string
required:
- arm_pose
- gripper_pose
- arm_status
- gripper_status
additionalProperties: false
type: object
type: object

View File

@@ -1,37 +1,626 @@
gripper.mock:
description: Mock gripper
class:
module: unilabos.devices.gripper.mock:MockGripper
type: python
status_types:
position: Float64
torque: Float64
status: String
action_value_mappings:
push_to:
type: GripperCommand
goal:
command.position: position
command.max_effort: torque
feedback:
position: position
effort: torque
result:
position: position
effort: torque
gripper.misumi_rz:
description: Misumi RZ gripper
class:
module: unilabos.devices.motor:Grasp.EleGripper
type: python
status_types:
status: String
action_value_mappings:
auto-data_loop:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: data_loop的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: data_loop参数
type: object
type: UniLabJsonCommand
auto-data_reader:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: data_reader的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: data_reader参数
type: object
type: UniLabJsonCommand
auto-gripper_move:
feedback: {}
goal: {}
goal_default:
force: null
pos: null
speed: null
handles: []
result: {}
schema:
description: gripper_move的参数schema
properties:
feedback: {}
goal:
properties:
force:
type: string
pos:
type: string
speed:
type: string
required:
- pos
- speed
- force
type: object
result: {}
required:
- goal
title: gripper_move参数
type: object
type: UniLabJsonCommand
auto-init_gripper:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: init_gripper的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: init_gripper参数
type: object
type: UniLabJsonCommand
auto-modbus_crc:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: modbus_crc的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: modbus_crc参数
type: object
type: UniLabJsonCommand
auto-move_and_rotate:
feedback: {}
goal: {}
goal_default:
grasp_F: null
grasp_pos: null
grasp_v: null
spin_F: null
spin_pos: null
spin_v: null
handles: []
result: {}
schema:
description: move_and_rotate的参数schema
properties:
feedback: {}
goal:
properties:
grasp_F:
type: string
grasp_pos:
type: string
grasp_v:
type: string
spin_F:
type: string
spin_pos:
type: string
spin_v:
type: string
required:
- spin_pos
- grasp_pos
- spin_v
- grasp_v
- spin_F
- grasp_F
type: object
result: {}
required:
- goal
title: move_and_rotate参数
type: object
type: UniLabJsonCommand
auto-node_gripper_move:
feedback: {}
goal: {}
goal_default:
cmd: null
handles: []
result: {}
schema:
description: node_gripper_move的参数schema
properties:
feedback: {}
goal:
properties:
cmd:
type: string
required:
- cmd
type: object
result: {}
required:
- goal
title: node_gripper_move参数
type: object
type: UniLabJsonCommand
auto-node_rotate_move:
feedback: {}
goal: {}
goal_default:
cmd: null
handles: []
result: {}
schema:
description: node_rotate_move的参数schema
properties:
feedback: {}
goal:
properties:
cmd:
type: string
required:
- cmd
type: object
result: {}
required:
- goal
title: node_rotate_move参数
type: object
type: UniLabJsonCommand
auto-read_address:
feedback: {}
goal: {}
goal_default:
address: null
data_len: null
id: null
handles: []
result: {}
schema:
description: read_address的参数schema
properties:
feedback: {}
goal:
properties:
address:
type: string
data_len:
type: string
id:
type: string
required:
- id
- address
- data_len
type: object
result: {}
required:
- goal
title: read_address参数
type: object
type: UniLabJsonCommand
auto-rotate_move_abs:
feedback: {}
goal: {}
goal_default:
force: null
pos: null
speed: null
handles: []
result: {}
schema:
description: rotate_move_abs的参数schema
properties:
feedback: {}
goal:
properties:
force:
type: string
pos:
type: string
speed:
type: string
required:
- pos
- speed
- force
type: object
result: {}
required:
- goal
title: rotate_move_abs参数
type: object
type: UniLabJsonCommand
auto-send_cmd:
feedback: {}
goal: {}
goal_default:
address: null
data: null
fun: null
id: null
handles: []
result: {}
schema:
description: send_cmd的参数schema
properties:
feedback: {}
goal:
properties:
address:
type: string
data:
type: string
fun:
type: string
id:
type: string
required:
- id
- fun
- address
- data
type: object
result: {}
required:
- goal
title: send_cmd参数
type: object
type: UniLabJsonCommand
auto-wait_for_gripper:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_for_gripper的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_for_gripper参数
type: object
type: UniLabJsonCommand
auto-wait_for_gripper_init:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_for_gripper_init的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_for_gripper_init参数
type: object
type: UniLabJsonCommand
auto-wait_for_rotate:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_for_rotate的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_for_rotate参数
type: object
type: UniLabJsonCommand
execute_command_from_outer:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.motor.Grasp:EleGripper
status_types:
status: str
type: python
description: Misumi RZ gripper
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 115200
type: string
id:
default: 9
type: string
port:
type: string
pos_error:
default: -11
type: string
required:
- port
type: object
data:
properties:
status:
type: string
required:
- status
type: object
gripper.mock:
class:
action_value_mappings:
auto-edit_id:
feedback: {}
goal: {}
goal_default:
params: '{}'
resource:
Gripper1: {}
wf_name: gripper_run
handles: []
result: {}
schema:
description: edit_id的参数schema
properties:
feedback: {}
goal:
properties:
params:
default: '{}'
type: string
resource:
default:
Gripper1: {}
type: object
wf_name:
default: gripper_run
type: string
required: []
type: object
result: {}
required:
- goal
title: edit_id参数
type: object
type: UniLabJsonCommand
auto-push_to:
feedback: {}
goal: {}
goal_default:
position: null
torque: null
velocity: 0.0
handles: []
result: {}
schema:
description: push_to的参数schema
properties:
feedback: {}
goal:
properties:
position:
type: number
torque:
type: number
velocity:
default: 0.0
type: number
required:
- position
- torque
type: object
result: {}
required:
- goal
title: push_to参数
type: object
type: UniLabJsonCommand
push_to:
feedback:
effort: torque
position: position
goal:
command.max_effort: torque
command.position: position
goal_default:
command:
max_effort: 0.0
position: 0.0
handles: []
result:
effort: torque
position: position
schema:
description: ROS Action GripperCommand 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
effort:
type: number
position:
type: number
reached_goal:
type: boolean
stalled:
type: boolean
required:
- position
- effort
- stalled
- reached_goal
title: GripperCommand_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
properties:
max_effort:
type: number
position:
type: number
required:
- position
- max_effort
title: GripperCommand
type: object
required:
- command
title: GripperCommand_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
effort:
type: number
position:
type: number
reached_goal:
type: boolean
stalled:
type: boolean
required:
- position
- effort
- stalled
- reached_goal
title: GripperCommand_Result
type: object
required:
- goal
title: GripperCommand
type: object
type: GripperCommand
module: unilabos.devices.gripper.mock:MockGripper
status_types:
position: float
status: str
torque: float
velocity: float
type: python
description: Mock gripper
handles: []
icon: ''
init_param_schema:
config:
properties: {}
required: []
type: object
data:
properties:
position:
type: number
status:
type: string
torque:
type: number
velocity:
type: number
required:
- position
- velocity
- torque
- status
type: object

View File

@@ -1,57 +1,693 @@
linear_motion.grbl:
description: Grbl CNC
class:
module: unilabos.devices.cnc.grbl_sync:GrblCNC
type: python
action_value_mappings:
move_through_points: &move_through_points
type: NavigateThroughPoses
goal:
poses[].pose.position: positions[]
feedback:
current_pose.pose.position: position
navigation_time.sec: time_spent
estimated_time_remaining.sec: time_remaining
number_of_poses_remaining: pose_number_remaining
auto-initialize:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
set_spindle_speed:
type: SingleJointPosition
schema:
description: initialize的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: initialize参数
type: object
type: UniLabJsonCommand
auto-move_through_points:
feedback: {}
goal: {}
goal_default:
positions: null
handles: []
result: {}
schema:
description: move_through_points的参数schema
properties:
feedback: {}
goal:
properties:
positions:
type: array
required:
- positions
type: object
result: {}
required:
- goal
title: move_through_points参数
type: object
type: UniLabJsonCommand
auto-set_position:
feedback: {}
goal: {}
goal_default:
position: null
handles: []
result: {}
schema:
description: set_position的参数schema
properties:
feedback: {}
goal:
properties:
position:
type: string
required:
- position
type: object
result: {}
required:
- goal
title: set_position参数
type: object
type: UniLabJsonCommand
auto-set_spindle_speed:
feedback: {}
goal: {}
goal_default:
max_velocity: 500
spindle_speed: null
handles: []
result: {}
schema:
description: set_spindle_speed的参数schema
properties:
feedback: {}
goal:
properties:
max_velocity:
default: 500
type: number
spindle_speed:
type: number
required:
- spindle_speed
type: object
result: {}
required:
- goal
title: set_spindle_speed参数
type: object
type: UniLabJsonCommand
auto-stop_operation:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: stop_operation的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: stop_operation参数
type: object
type: UniLabJsonCommand
auto-wait_error:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: wait_error的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: wait_error参数
type: object
type: UniLabJsonCommandAsync
move_through_points:
feedback:
current_pose.pose.position: position
estimated_time_remaining.sec: time_remaining
navigation_time.sec: time_spent
number_of_poses_remaining: pose_number_remaining
goal:
position: spindle_speed
poses[].pose.position: positions[]
goal_default:
behavior_tree: ''
poses:
- header:
frame_id: ''
stamp:
nanosec: 0
sec: 0
pose:
orientation:
w: 1.0
x: 0.0
y: 0.0
z: 0.0
position:
x: 0.0
y: 0.0
z: 0.0
handles: []
result: {}
schema:
description: ROS Action NavigateThroughPoses 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
current_pose:
properties:
header:
properties:
frame_id:
type: string
stamp:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Time
type: object
required:
- stamp
- frame_id
title: Header
type: object
pose:
properties:
orientation:
properties:
w:
type: number
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
- w
title: Quaternion
type: object
position:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: Point
type: object
required:
- position
- orientation
title: Pose
type: object
required:
- header
- pose
title: PoseStamped
type: object
distance_remaining:
type: number
estimated_time_remaining:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Duration
type: object
navigation_time:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Duration
type: object
number_of_poses_remaining:
maximum: 32767
minimum: -32768
type: integer
number_of_recoveries:
maximum: 32767
minimum: -32768
type: integer
required:
- current_pose
- navigation_time
- estimated_time_remaining
- number_of_recoveries
- distance_remaining
- number_of_poses_remaining
title: NavigateThroughPoses_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
behavior_tree:
type: string
poses:
items:
properties:
header:
properties:
frame_id:
type: string
stamp:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Time
type: object
required:
- stamp
- frame_id
title: Header
type: object
pose:
properties:
orientation:
properties:
w:
type: number
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
- w
title: Quaternion
type: object
position:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: Point
type: object
required:
- position
- orientation
title: Pose
type: object
required:
- header
- pose
title: PoseStamped
type: object
type: array
required:
- poses
- behavior_tree
title: NavigateThroughPoses_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
result:
properties: {}
required: []
title: Empty
type: object
required:
- result
title: NavigateThroughPoses_Result
type: object
required:
- goal
title: NavigateThroughPoses
type: object
type: NavigateThroughPoses
set_spindle_speed:
feedback:
position: spindle_speed
goal:
position: spindle_speed
goal_default:
max_velocity: 0.0
min_duration:
nanosec: 0
sec: 0
position: 0.0
handles: []
result: {}
schema:
type: object
properties:
position:
type: array
items:
schema:
description: ROS Action SingleJointPosition 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
error:
type: number
header:
properties:
frame_id:
type: string
stamp:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Time
type: object
required:
- stamp
- frame_id
title: Header
type: object
position:
type: number
velocity:
type: number
required:
- header
- position
- velocity
- error
title: SingleJointPosition_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
max_velocity:
type: number
min_duration:
properties:
nanosec:
maximum: 4294967295
minimum: 0
type: integer
sec:
maximum: 2147483647
minimum: -2147483648
type: integer
required:
- sec
- nanosec
title: Duration
type: object
position:
type: number
required:
- position
- min_duration
- max_velocity
title: SingleJointPosition_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties: {}
required: []
title: SingleJointPosition_Result
type: object
required:
- goal
title: SingleJointPosition
type: object
type: SingleJointPosition
module: unilabos.devices.cnc.grbl_sync:GrblCNC
status_types:
position: unilabos.messages:Point3D
spindle_speed: float
status: str
type: python
description: Grbl CNC
handles: []
icon: ''
init_param_schema:
config:
properties:
address:
default: '1'
type: string
limits:
default:
- -150
- 150
- -200
- 0
- -80
- 0
type: array
port:
type: string
required:
- port
type: object
data:
properties:
position:
type: string
spindle_speed:
type: number
description: The position of the device
spindle_speed:
type: number
description: The spindle speed of the device
required:
status:
type: string
required:
- status
- position
- spindle_speed
additionalProperties: false
type: object
motor.iCL42:
description: iCL42 motor
class:
module: unilabos.devices.motor.iCL42:iCL42Driver
type: python
status_types:
motor_position: Int64
is_executing_run: Bool
success: Bool
action_value_mappings:
auto-execute_run_motor:
feedback: {}
goal: {}
goal_default:
mode: null
position: null
velocity: null
handles: []
result: {}
schema:
description: execute_run_motor的参数schema
properties:
feedback: {}
goal:
properties:
mode:
type: string
position:
type: number
velocity:
type: integer
required:
- mode
- position
- velocity
type: object
result: {}
required:
- goal
title: execute_run_motor参数
type: object
type: UniLabJsonCommand
auto-init_device:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: init_device的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: init_device参数
type: object
type: UniLabJsonCommand
auto-run_motor:
feedback: {}
goal: {}
goal_default:
mode: null
position: null
velocity: null
handles: []
result: {}
schema:
description: run_motor的参数schema
properties:
feedback: {}
goal:
properties:
mode:
type: string
position:
type: number
velocity:
type: integer
required:
- mode
- position
- velocity
type: object
result: {}
required:
- goal
title: run_motor参数
type: object
type: UniLabJsonCommand
execute_command_from_outer:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.motor.iCL42:iCL42Driver
status_types:
is_executing_run: bool
motor_position: int
success: bool
type: python
description: iCL42 motor
handles: []
icon: ''
init_param_schema:
config:
properties:
device_address:
default: 1
type: integer
device_com:
default: COM9
type: string
required: []
type: object
data:
properties:
is_executing_run:
type: boolean
motor_position:
type: integer
success:
type: boolean
required:
- motor_position
- is_executing_run
- success
type: object

View File

@@ -1,5 +1,311 @@
lh_joint_publisher:
class:
action_value_mappings:
auto-check_tf_update_actions:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: check_tf_update_actions的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: check_tf_update_actions参数
type: object
type: UniLabJsonCommand
auto-find_resource_parent:
feedback: {}
goal: {}
goal_default:
resource_id: null
handles: []
result: {}
schema:
description: find_resource_parent的参数schema
properties:
feedback: {}
goal:
properties:
resource_id:
type: string
required:
- resource_id
type: object
result: {}
required:
- goal
title: find_resource_parent参数
type: object
type: UniLabJsonCommand
auto-inverse_kinematics:
feedback: {}
goal: {}
goal_default:
parent_id: null
x: null
x_joint: null
y: null
y_joint: null
z: null
z_joint: null
handles: []
result: {}
schema:
description: inverse_kinematics的参数schema
properties:
feedback: {}
goal:
properties:
parent_id:
type: string
x:
type: string
x_joint:
type: object
y:
type: string
y_joint:
type: object
z:
type: string
z_joint:
type: object
required:
- x
- y
- z
- parent_id
- x_joint
- y_joint
- z_joint
type: object
result: {}
required:
- goal
title: inverse_kinematics参数
type: object
type: UniLabJsonCommand
auto-lh_joint_action_callback:
feedback: {}
goal: {}
goal_default:
goal_handle: null
handles: []
result: {}
schema:
description: lh_joint_action_callback的参数schema
properties:
feedback: {}
goal:
properties:
goal_handle:
type: string
required:
- goal_handle
type: object
result: {}
required:
- goal
title: lh_joint_action_callback参数
type: object
type: UniLabJsonCommand
auto-lh_joint_pub_callback:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: lh_joint_pub_callback的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: lh_joint_pub_callback参数
type: object
type: UniLabJsonCommand
auto-move_joints:
feedback: {}
goal: {}
goal_default:
option: null
resource_names: null
speed: 0.1
x: null
x_joint: null
y: null
y_joint: null
z: null
z_joint: null
handles: []
result: {}
schema:
description: move_joints的参数schema
properties:
feedback: {}
goal:
properties:
option:
type: string
resource_names:
type: string
speed:
default: 0.1
type: string
x:
type: string
x_joint:
type: string
y:
type: string
y_joint:
type: string
z:
type: string
z_joint:
type: string
required:
- resource_names
- x
- y
- z
- option
type: object
result: {}
required:
- goal
title: move_joints参数
type: object
type: UniLabJsonCommand
auto-move_to:
feedback: {}
goal: {}
goal_default:
joint_positions: null
parent_id: null
speed: null
handles: []
result: {}
schema:
description: move_to的参数schema
properties:
feedback: {}
goal:
properties:
joint_positions:
type: string
parent_id:
type: string
speed:
type: string
required:
- joint_positions
- speed
- parent_id
type: object
result: {}
required:
- goal
title: move_to参数
type: object
type: UniLabJsonCommand
auto-resource_move:
feedback: {}
goal: {}
goal_default:
channels: null
link_name: null
resource_id: null
handles: []
result: {}
schema:
description: resource_move的参数schema
properties:
feedback: {}
goal:
properties:
channels:
type: array
link_name:
type: string
resource_id:
type: string
required:
- resource_id
- link_name
- channels
type: object
result: {}
required:
- goal
title: resource_move参数
type: object
type: UniLabJsonCommand
auto-send_resource_action:
feedback: {}
goal: {}
goal_default:
link_name: null
resource_id_list: null
handles: []
result: {}
schema:
description: send_resource_action的参数schema
properties:
feedback: {}
goal:
properties:
link_name:
type: string
resource_id_list:
type: array
required:
- resource_id_list
- link_name
type: object
result: {}
required:
- goal
title: send_resource_action参数
type: object
type: UniLabJsonCommand
module: unilabos.devices.ros_dev.liquid_handler_joint_publisher:LiquidHandlerJointPublisher
status_types: {}
type: ros2
description: ''
handles: []
icon: ''
init_param_schema:
config:
properties:
device_id:
default: lh_joint_publisher
type: string
rate:
default: 50
type: string
resource_tracker:
type: string
resources_config:
type: array
required:
- resources_config
- resource_tracker
type: object
data:
properties: {}
required: []
type: object

View File

@@ -1,65 +1,811 @@
heaterstirrer.dalong:
description: DaLong heater stirrer
chiller:
class:
module: unilabos.devices.heaterstirrer.dalong:HeaterStirrer_DaLong
type: python
status_types:
temp: Float64
temp_warning: Float64
stir_speed: Float64
action_value_mappings:
set_temp_warning:
type: SendCmd
goal:
command: temp
auto-build_modbus_frame:
feedback: {}
goal: {}
goal_default:
device_address: null
function_code: null
register_address: null
value: null
handles: []
result: {}
schema:
description: build_modbus_frame的参数schema
properties:
feedback: {}
goal:
properties:
device_address:
type: integer
function_code:
type: integer
register_address:
type: integer
value:
type: integer
required:
- device_address
- function_code
- register_address
- value
type: object
result: {}
required:
- goal
title: build_modbus_frame参数
type: object
type: UniLabJsonCommand
auto-convert_temperature_to_modbus_value:
feedback: {}
goal: {}
goal_default:
decimal_points: 1
temperature: null
handles: []
result: {}
schema:
description: convert_temperature_to_modbus_value的参数schema
properties:
feedback: {}
goal:
properties:
decimal_points:
default: 1
type: integer
temperature:
type: number
required:
- temperature
type: object
result: {}
required:
- goal
title: convert_temperature_to_modbus_value参数
type: object
type: UniLabJsonCommand
auto-modbus_crc:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: modbus_crc的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: modbus_crc参数
type: object
type: UniLabJsonCommand
auto-set_temperature:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_temperature的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_temperature参数
type: object
type: UniLabJsonCommand
auto-stop:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: stop的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: stop参数
type: object
type: UniLabJsonCommand
set_temperature:
feedback: {}
goal:
command: command
goal_default:
command: ''
handles: []
result:
success: success
set_temp_target:
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
goal:
command: temp
module: unilabos.devices.temperature.chiller:Chiller
status_types: {}
type: python
description: Chiller
handles: []
icon: ''
init_param_schema:
config:
properties:
port:
type: string
rate:
default: 9600
type: string
required:
- port
type: object
data:
properties: {}
required: []
type: object
heaterstirrer.dalong:
class:
action_value_mappings:
auto-close:
feedback: {}
result:
success: success
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-heatchill:
feedback: {}
goal: {}
goal_default:
purpose: reaction
stir: true
stir_speed: 300
temp: null
time: 3600
vessel: null
handles: []
result: {}
schema:
description: heatchill的参数schema
properties:
feedback: {}
goal:
properties:
purpose:
default: reaction
type: string
stir:
default: true
type: boolean
stir_speed:
default: 300
type: number
temp:
type: number
time:
default: 3600
type: number
vessel:
type: string
required:
- vessel
- temp
type: object
result: {}
required:
- goal
title: heatchill参数
type: object
type: UniLabJsonCommand
auto-set_stir_speed:
feedback: {}
goal: {}
goal_default:
speed: null
handles: []
result: {}
schema:
description: set_stir_speed的参数schema
properties:
feedback: {}
goal:
properties:
speed:
type: number
required:
- speed
type: object
result: {}
required:
- goal
title: set_stir_speed参数
type: object
type: UniLabJsonCommand
auto-set_temp_inner:
feedback: {}
goal: {}
goal_default:
temp: null
type: warning
handles: []
result: {}
schema:
description: set_temp_inner的参数schema
properties:
feedback: {}
goal:
properties:
temp:
type: number
type:
default: warning
type: string
required:
- temp
type: object
result: {}
required:
- goal
title: set_temp_inner参数
type: object
type: UniLabJsonCommand
auto-set_temp_target:
feedback: {}
goal: {}
goal_default:
temp: null
handles: []
result: {}
schema:
description: set_temp_target的参数schema
properties:
feedback: {}
goal:
properties:
temp:
type: string
required:
- temp
type: object
result: {}
required:
- goal
title: set_temp_target参数
type: object
type: UniLabJsonCommand
auto-set_temp_warning:
feedback: {}
goal: {}
goal_default:
temp: null
handles: []
result: {}
schema:
description: set_temp_warning的参数schema
properties:
feedback: {}
goal:
properties:
temp:
type: string
required:
- temp
type: object
result: {}
required:
- goal
title: set_temp_warning参数
type: object
type: UniLabJsonCommand
heatchill:
type: HeatChill
goal:
vessel: vessel
temp: temp
time: time
purpose: purpose
feedback:
status: status
result:
success: success
chiller:
description: Chiller
class:
module: unilabos.devices.temperature.chiller:Chiller
type: python
action_value_mappings:
set_temperature:
type: SendCmd
goal:
command: command
feedback: {}
purpose: purpose
temp: temp
time: time
vessel: vessel
goal_default:
pressure: ''
purpose: ''
reflux_solvent: ''
stir: false
stir_speed: 0.0
temp: 0.0
temp_spec: ''
time: 0.0
time_spec: ''
vessel: ''
handles: []
result:
success: success
tempsensor:
description: Temperature sensor
class:
module: unilabos.devices.temperature.sensor_node:TempSensorNode
type: python
schema:
description: ROS Action HeatChill 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: HeatChill_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
pressure:
type: string
purpose:
type: string
reflux_solvent:
type: string
stir:
type: boolean
stir_speed:
type: number
temp:
type: number
temp_spec:
type: string
time:
type: number
time_spec:
type: string
vessel:
type: string
required:
- vessel
- temp
- time
- temp_spec
- time_spec
- pressure
- reflux_solvent
- stir
- stir_speed
- purpose
title: HeatChill_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
message:
type: string
return_info:
type: string
success:
type: boolean
required:
- success
- message
- return_info
title: HeatChill_Result
type: object
required:
- goal
title: HeatChill
type: object
type: HeatChill
set_temp_target:
feedback: {}
goal:
command: temp
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
set_temp_warning:
feedback: {}
goal:
command: temp
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.heaterstirrer.dalong:HeaterStirrer_DaLong
status_types:
value: Float64
warning: Float64
status: str
stir_speed: float
temp: float
temp_target: float
temp_warning: float
type: python
description: DaLong heater stirrer
handles: []
icon: ''
init_param_schema:
config:
properties:
baudrate:
default: 9600
type: integer
port:
default: COM6
type: string
temp_warning:
default: 50.0
type: string
required: []
type: object
data:
properties:
status:
type: string
stir_speed:
type: number
temp:
type: number
temp_target:
type: number
temp_warning:
type: number
required:
- status
- stir_speed
- temp
- temp_warning
- temp_target
type: object
tempsensor:
class:
action_value_mappings:
auto-build_modbus_request:
feedback: {}
goal: {}
goal_default:
device_id: null
function_code: null
register_address: null
register_count: null
handles: []
result: {}
schema:
description: build_modbus_request的参数schema
properties:
feedback: {}
goal:
properties:
device_id:
type: string
function_code:
type: string
register_address:
type: string
register_count:
type: string
required:
- device_id
- function_code
- register_address
- register_count
type: object
result: {}
required:
- goal
title: build_modbus_request参数
type: object
type: UniLabJsonCommand
auto-calculate_crc:
feedback: {}
goal: {}
goal_default:
data: null
handles: []
result: {}
schema:
description: calculate_crc的参数schema
properties:
feedback: {}
goal:
properties:
data:
type: string
required:
- data
type: object
result: {}
required:
- goal
title: calculate_crc参数
type: object
type: UniLabJsonCommand
auto-read_modbus_response:
feedback: {}
goal: {}
goal_default:
response: null
handles: []
result: {}
schema:
description: read_modbus_response的参数schema
properties:
feedback: {}
goal:
properties:
response:
type: string
required:
- response
type: object
result: {}
required:
- goal
title: read_modbus_response参数
type: object
type: UniLabJsonCommand
auto-send_prototype_command:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: send_prototype_command的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: send_prototype_command参数
type: object
type: UniLabJsonCommand
auto-set_warning:
feedback: {}
goal: {}
goal_default:
command: null
handles: []
result: {}
schema:
description: set_warning的参数schema
properties:
feedback: {}
goal:
properties:
command:
type: string
required:
- command
type: object
result: {}
required:
- goal
title: set_warning参数
type: object
type: UniLabJsonCommand
set_warning:
type: SendCmd
feedback: {}
goal:
command: command
feedback: {}
goal_default:
command: ''
handles: []
result:
success: success
schema:
description: ROS Action SendCmd 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties:
status:
type: string
required:
- status
title: SendCmd_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
command:
type: string
required:
- command
title: SendCmd_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.temperature.sensor_node:TempSensorNode
status_types:
value: float
type: python
description: Temperature sensor
handles: []
icon: ''
init_param_schema:
config:
properties:
address:
type: string
baudrate:
default: 9600
type: string
port:
type: string
warning:
type: string
required:
- port
- warning
- address
type: object
data:
properties:
value:
type: number
required:
- value
type: object

View File

@@ -1,81 +1,496 @@
vacuum_pump.mock:
description: Mock vacuum pump
class:
module: unilabos.devices.pump_and_valve.vacuum_pump_mock:VacuumPumpMock
type: python
status_types:
status: String
action_value_mappings:
open:
type: EmptyIn
goal: {}
feedback: {}
result: {}
close:
type: EmptyIn
goal: {}
feedback: {}
result: {}
set_status:
type: StrSingleInput
goal:
string: string
feedback: {}
result: {}
handles:
- handler_key: out
label: out
data_type: fluid
io_type: source
data_source: handle
data_key: fluid_in
init_param_schema:
type: object
properties:
port:
type: string
description: "通信端口"
default: "COM6"
required:
- port
gas_source.mock:
description: Mock gas source
class:
module: unilabos.devices.pump_and_valve.vacuum_pump_mock:VacuumPumpMock
type: python
status_types:
status: String
action_value_mappings:
open:
type: EmptyIn
goal: {}
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-is_closed:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_closed的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_closed参数
type: object
type: UniLabJsonCommand
auto-is_open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_open参数
type: object
type: UniLabJsonCommand
auto-open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: open参数
type: object
type: UniLabJsonCommand
auto-set_status:
feedback: {}
goal: {}
goal_default:
string: null
handles: []
result: {}
schema:
description: set_status的参数schema
properties:
feedback: {}
goal:
properties:
string:
type: string
required:
- string
type: object
result: {}
required:
- goal
title: set_status参数
type: object
type: UniLabJsonCommand
close:
type: EmptyIn
goal: {}
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
set_status:
type: StrSingleInput
feedback: {}
goal:
string: string
feedback: {}
goal_default:
string: ''
handles: []
result: {}
schema:
description: ROS Action StrSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.pump_and_valve.vacuum_pump_mock:VacuumPumpMock
status_types:
status: str
type: python
description: Mock gas source
handles:
- handler_key: out
label: out
data_type: fluid
io_type: source
data_source: executor
data_key: fluid_out
- data_key: fluid_out
data_source: executor
data_type: fluid
handler_key: out
io_type: source
label: out
icon: ''
init_param_schema:
type: object
properties:
port:
type: string
description: "通信端口"
default: "COM6"
required:
- port
config:
properties:
port:
default: COM6
type: string
required: []
type: object
data:
properties:
status:
type: string
required:
- status
type: object
vacuum_pump.mock:
class:
action_value_mappings:
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: close参数
type: object
type: UniLabJsonCommand
auto-is_closed:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_closed的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_closed参数
type: object
type: UniLabJsonCommand
auto-is_open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: is_open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: is_open参数
type: object
type: UniLabJsonCommand
auto-open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: open的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: open参数
type: object
type: UniLabJsonCommand
auto-set_status:
feedback: {}
goal: {}
goal_default:
string: null
handles: []
result: {}
schema:
description: set_status的参数schema
properties:
feedback: {}
goal:
properties:
string:
type: string
required:
- string
type: object
result: {}
required:
- goal
title: set_status参数
type: object
type: UniLabJsonCommand
close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
open:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
set_status:
feedback: {}
goal:
string: string
goal_default:
string: ''
handles: []
result: {}
schema:
description: ROS Action StrSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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.pump_and_valve.vacuum_pump_mock:VacuumPumpMock
status_types:
status: str
type: python
description: Mock vacuum pump
handles:
- data_key: fluid_in
data_source: handle
data_type: fluid
handler_key: out
io_type: source
label: out
icon: ''
init_param_schema:
config:
properties:
port:
default: COM6
type: string
required: []
type: object
data:
properties:
status:
type: string
required:
- status
type: object

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -1,27 +1,232 @@
zhida_hplc:
description: Zhida HPLC
class:
module: unilabos.devices.zhida_hplc.zhida:ZhidaClient
type: python
status_types:
status: String
action_value_mappings:
abort:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
auto-abort:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: abort的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: abort参数
type: object
type: UniLabJsonCommand
auto-close:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: close的参数schema
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: connect的参数schema
properties:
feedback: {}
goal:
properties: {}
required: []
type: object
result: {}
required:
- goal
title: connect参数
type: object
type: UniLabJsonCommand
auto-start:
feedback: {}
goal: {}
goal_default:
text: null
handles: []
result: {}
schema:
description: start的参数schema
properties:
feedback: {}
goal:
properties:
text:
type: string
required:
- text
type: object
result: {}
required:
- goal
title: start参数
type: object
type: UniLabJsonCommand
get_methods:
feedback: {}
goal: {}
goal_default: {}
handles: []
result: {}
schema:
description: ROS Action EmptyIn 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: EmptyIn_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties: {}
required: []
title: EmptyIn_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
properties:
return_info:
type: string
required:
- return_info
title: EmptyIn_Result
type: object
required:
- goal
title: EmptyIn
type: object
type: EmptyIn
start:
type: StrSingleInput
feedback: {}
goal:
string: string
feedback: {}
goal_default:
string: ''
handles: []
result: {}
abort:
type: EmptyIn
goal: {}
feedback: {}
result: {}
get_methods:
type: EmptyIn
goal: {}
feedback: {}
result: {}
schema:
properties: {}
schema:
description: ROS Action StrSingleInput 的 JSON Schema
properties:
feedback:
description: Action 反馈 - 执行过程中从服务器发送到客户端
properties: {}
required: []
title: StrSingleInput_Feedback
type: object
goal:
description: Action 目标 - 从客户端发送到服务器
properties:
string:
type: string
required:
- string
title: StrSingleInput_Goal
type: object
result:
description: Action 结果 - 完成后从服务器发送到客户端
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
description: Zhida HPLC
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

View File

@@ -1,14 +1,17 @@
import copy
import io
import os
import sys
from pathlib import Path
from typing import Any
from typing import Any, Dict, List
import yaml
from unilabos.ros.msgs.message_converter import msg_converter_manager, ros_action_to_json_schema
from unilabos.ros.msgs.message_converter import msg_converter_manager, ros_action_to_json_schema, String
from unilabos.utils import logger
from unilabos.utils.decorator import singleton
from unilabos.utils.import_manager import get_enhanced_class_info
from unilabos.utils.type_check import NoAliasDumper
DEFAULT_PATHS = [Path(__file__).absolute().parent]
@@ -32,7 +35,7 @@ class Registry:
# 其他状态变量
# self.is_host_mode = False # 移至BasicConfig中
def setup(self):
def setup(self, complete_registry=False):
# 检查是否已调用过setup
if self._setup_called:
logger.critical("[UniLab Registry] setup方法已被调用过不允许多次调用")
@@ -86,13 +89,15 @@ class Registry:
io.StringIO(get_yaml_from_goal_type(self.ResourceCreateFromOuterEasy.Goal))
),
"handles": {
"output": [{
"handler_key": "labware",
"label": "Labware",
"data_type": "resource",
"data_source": "handle",
"data_key": "liquid"
}]
"output": [
{
"handler_key": "labware",
"label": "Labware",
"data_type": "resource",
"data_source": "handle",
"data_key": "liquid",
}
]
},
},
"test_latency": {
@@ -110,7 +115,6 @@ class Registry:
"registry_type": "device",
"handles": [],
"init_param_schema": {},
"schema": {"properties": {}, "additionalProperties": False, "type": "object"},
"file_path": "/",
}
}
@@ -121,13 +125,13 @@ class Registry:
sys_path = path.parent
logger.debug(f"[UniLab Registry] Path {i+1}/{len(self.registry_paths)}: {sys_path}")
sys.path.append(str(sys_path))
self.load_device_types(path)
self.load_resource_types(path)
self.load_device_types(path, complete_registry)
self.load_resource_types(path, complete_registry)
logger.info("[UniLab Registry] 注册表设置完成")
# 标记setup已被调用
self._setup_called = True
def load_resource_types(self, path: os.PathLike):
def load_resource_types(self, path: os.PathLike, complete_registry: bool):
abs_path = Path(path).absolute()
resource_path = abs_path / "resources"
files = list(resource_path.glob("*/*.yaml"))
@@ -176,7 +180,14 @@ class Registry:
if not type_name or type_name == "":
logger.warning(f"[UniLab Registry] 设备 {device_id}{field_name} 类型为空,跳过替换")
return type_name
if "." in type_name:
convert_manager = { # 将python基本对象转为ros2基本对象
"str": "String",
"bool": "Bool",
"int": "Int64",
"float": "Float64",
}
type_name = convert_manager.get(type_name, type_name) # 替换为ROS2类型
if ":" in type_name:
type_class = msg_converter_manager.get_class(type_name)
else:
type_class = msg_converter_manager.search_class(type_name)
@@ -186,7 +197,98 @@ class Registry:
logger.error(f"[UniLab Registry] 无法找到类型 '{type_name}' 用于设备 {device_id}{field_name}")
sys.exit(1)
def load_device_types(self, path: os.PathLike):
def _generate_schema_from_info(
self,
param_name: str,
param_type: str,
param_default: Any,
) -> Dict[str, Any]:
"""
根据参数信息生成JSON Schema
"""
prop_schema = {}
# 根据类型设置schema FIXME 不完整
if param_type:
param_type_lower = param_type.lower()
if param_type_lower in ["str", "string"]:
prop_schema["type"] = "string"
elif param_type_lower in ["int", "integer"]:
prop_schema["type"] = "integer"
elif param_type_lower in ["float", "number"]:
prop_schema["type"] = "number"
elif param_type_lower in ["bool", "boolean"]:
prop_schema["type"] = "boolean"
elif param_type_lower in ["list", "array"]:
prop_schema["type"] = "array"
elif param_type_lower in ["dict", "object"]:
prop_schema["type"] = "object"
else:
# 默认为字符串类型
prop_schema["type"] = "string"
else:
# 如果没有类型信息,默认为字符串
prop_schema["type"] = "string"
# 设置默认值
if param_default is not None:
prop_schema["default"] = param_default
return prop_schema
def _generate_status_types_schema(self, status_types: Dict[str, Any]) -> Dict[str, Any]:
"""
根据状态类型生成JSON Schema
"""
status_schema = {
"type": "object",
"properties": {},
"required": [],
}
for status_name, status_type in status_types.items():
status_schema["properties"][status_name] = self._generate_schema_from_info(
status_name, status_type["return_type"], None
)
status_schema["required"].append(status_name)
return status_schema
def _generate_unilab_json_command_schema(
self, method_args: List[Dict[str, Any]], method_name: str
) -> Dict[str, Any]:
"""
根据UniLabJsonCommand方法信息生成JSON Schema暂不支持嵌套类型
Args:
method_args: 方法信息字典包含args等
method_name: 方法名称
Returns:
JSON Schema格式的参数schema
"""
schema = {
"type": "object",
"properties": {},
"required": [],
}
for arg_info in method_args:
param_name = arg_info.get("name", "")
param_type = arg_info.get("type", "")
param_default = arg_info.get("default")
param_required = arg_info.get("required", True)
schema["properties"][param_name] = self._generate_schema_from_info(
param_name, param_type, param_default
)
if param_required:
schema["required"].append(param_name)
return {
"title": f"{method_name}参数",
"description": f"{method_name}的参数schema",
"type": "object",
"properties": {"goal": schema, "feedback": {}, "result": {}},
"required": ["goal"],
}
def load_device_types(self, path: os.PathLike, complete_registry: bool):
abs_path = Path(path).absolute()
devices_path = abs_path / "devices"
device_comms_path = abs_path / "device_comms"
@@ -199,12 +301,18 @@ class Registry:
from unilabos.app.web.utils.action_utils import get_yaml_from_goal_type
for i, file in enumerate(files):
data = yaml.safe_load(open(file, encoding="utf-8"))
with open(file, encoding="utf-8", mode="r") as f:
data = yaml.safe_load(io.StringIO(f.read()))
complete_data = {}
action_str_type_mapping = {
"UniLabJsonCommand": "UniLabJsonCommand",
"UniLabJsonCommandAsync": "UniLabJsonCommandAsync",
}
status_str_type_mapping = {}
if data:
# 在添加到注册表前处理类型替换
for device_id, device_config in data.items():
# 添加文件路径信息 - 使用规范化的完整文件路径
device_config["file_path"] = str(file.absolute()).replace("\\", "/")
if "description" not in device_config:
device_config["description"] = ""
if "icon" not in device_config:
@@ -213,42 +321,128 @@ class Registry:
device_config["handles"] = []
if "init_param_schema" not in device_config:
device_config["init_param_schema"] = {}
device_config["registry_type"] = "device"
if "class" in device_config:
# 处理状态类型
if "status_types" in device_config["class"]:
for status_name, status_type in device_config["class"]["status_types"].items():
device_config["class"]["status_types"][status_name] = self._replace_type_with_class(
status_type, device_id, f"状态 {status_name}"
)
if "status_types" not in device_config["class"]:
device_config["class"]["status_types"] = {}
if "action_value_mappings" not in device_config["class"]:
device_config["class"]["action_value_mappings"] = {}
enhanced_info = {}
if complete_registry:
device_config["class"]["status_types"].clear()
enhanced_info = get_enhanced_class_info(device_config["class"]["module"], use_dynamic=True)
device_config["class"]["status_types"].update(
{k: v["return_type"] for k, v in enhanced_info["status_methods"].items()}
)
for status_name, status_type in device_config["class"]["status_types"].items():
if status_type in ["Any", "None", "Unknown"]:
status_type = "String" # 替换成ROS的String便于显示
device_config["class"]["status_types"][status_name] = status_type
target_type = self._replace_type_with_class(status_type, device_id, f"状态 {status_name}")
if target_type in [
dict,
list,
]: # 对于嵌套类型返回的对象,暂时处理成字符串,无法直接进行转换
target_type = String
status_str_type_mapping[status_type] = target_type
device_config["class"]["status_types"] = dict(
sorted(device_config["class"]["status_types"].items())
)
if complete_registry:
device_config["class"]["action_value_mappings"] = {
k: v
for k, v in device_config["class"]["action_value_mappings"].items()
if not k.startswith("auto-")
}
# 处理动作值映射
device_config["class"]["action_value_mappings"].update(
{
f"auto-{k}": {
"type": "UniLabJsonCommandAsync" if v["is_async"] else "UniLabJsonCommand",
"goal": {},
"feedback": {},
"result": {},
"schema": self._generate_unilab_json_command_schema(v["args"], k),
"goal_default": {i["name"]: i["default"] for i in v["args"]},
"handles": [],
}
for k, v in enhanced_info["action_methods"].items()
}
)
device_config["init_param_schema"] = {}
device_config["init_param_schema"]["config"] = self._generate_unilab_json_command_schema(
enhanced_info["init_params"], "__init__"
)["properties"]["goal"]
device_config["init_param_schema"]["data"] = self._generate_status_types_schema(
enhanced_info["status_methods"]
)
# 处理动作值映射
if "action_value_mappings" in device_config["class"]:
for action_name, action_config in device_config["class"]["action_value_mappings"].items():
if "handles" not in action_config:
action_config["handles"] = []
if "type" in action_config:
action_config["type"] = self._replace_type_with_class(
action_config["type"], device_id, f"动作 {action_name}"
device_config.pop("schema", None)
device_config["class"]["action_value_mappings"] = dict(
sorted(device_config["class"]["action_value_mappings"].items())
)
for action_name, action_config in device_config["class"]["action_value_mappings"].items():
if "handles" not in action_config:
action_config["handles"] = []
if "type" in action_config:
action_type_str: str = action_config["type"]
# 通过Json发放指令而不是通过特殊的ros action进行处理
if not action_type_str.startswith("UniLabJsonCommand"):
target_type = self._replace_type_with_class(
action_type_str, device_id, f"动作 {action_name}"
)
if action_config["type"] is not None:
action_str_type_mapping[action_type_str] = target_type
if target_type is not None:
action_config["goal_default"] = yaml.safe_load(
io.StringIO(get_yaml_from_goal_type(action_config["type"].Goal))
io.StringIO(get_yaml_from_goal_type(target_type.Goal))
)
action_config["schema"] = ros_action_to_json_schema(action_config["type"])
action_config["schema"] = ros_action_to_json_schema(target_type)
else:
logger.warning(
f"[UniLab Registry] 设备 {device_id} 的动作 {action_name} 类型为空,跳过替换"
)
self.device_type_registry.update(data)
for device_id in data.keys():
complete_data[device_id] = copy.deepcopy(dict(sorted(device_config.items()))) # 稍后dump到文件
for status_name, status_type in device_config["class"]["status_types"].items():
device_config["class"]["status_types"][status_name] = status_str_type_mapping[status_type]
for action_name, action_config in device_config["class"]["action_value_mappings"].items():
action_config["type"] = action_str_type_mapping[action_config["type"]]
for additional_action in ["_execute_driver_command", "_execute_driver_command_async"]:
device_config["class"]["action_value_mappings"][additional_action] = {
"type": self._replace_type_with_class(
"StrSingleInput", device_id, f"动作 {additional_action}"
),
"goal": {"string": "string"},
"feedback": {},
"result": {},
"schema": ros_action_to_json_schema(
self._replace_type_with_class(
"StrSingleInput", device_id, f"动作 {additional_action}"
)
),
"goal_default": yaml.safe_load(
io.StringIO(
get_yaml_from_goal_type(
self._replace_type_with_class(
"StrSingleInput", device_id, f"动作 {additional_action}"
).Goal
)
)
),
"handles": [],
}
if "registry_type" not in device_config:
device_config["registry_type"] = "device"
device_config["file_path"] = str(file.absolute()).replace("\\", "/")
device_config["registry_type"] = "device"
logger.debug(
f"[UniLab Registry] Device-{current_device_number} File-{i+1}/{len(files)} Add {device_id} "
+ f"[{data[device_id].get('name', '未命名设备')}]"
)
current_device_number += 1
complete_data = dict(sorted(complete_data.items()))
complete_data = copy.deepcopy(complete_data)
with open(file, "w", encoding="utf-8") as f:
yaml.dump(complete_data, f, allow_unicode=True, default_flow_style=False, Dumper=NoAliasDumper)
self.device_type_registry.update(data)
else:
logger.debug(
f"[UniLab Registry] Device File-{i+1}/{len(files)} Not Valid YAML File: {file.absolute()}"
@@ -257,7 +451,28 @@ class Registry:
def obtain_registry_device_info(self):
devices = []
for device_id, device_info in self.device_type_registry.items():
msg = {"id": device_id, **device_info}
device_info_copy = copy.deepcopy(device_info)
if "class" in device_info_copy and "action_value_mappings" in device_info_copy["class"]:
action_mappings = device_info_copy["class"]["action_value_mappings"]
for action_name, action_config in action_mappings.items():
if "schema" in action_config and action_config["schema"]:
schema = action_config["schema"]
# 确保schema结构存在
if (
"properties" in schema
and "goal" in schema["properties"]
and "properties" in schema["properties"]["goal"]
):
schema["properties"]["goal"]["properties"] = {
"unilabos_device_id": {
"type": "string",
"default": "",
"description": "UniLabOS设备ID用于指定执行动作的具体设备实例",
},
**schema["properties"]["goal"]["properties"],
}
msg = {"id": device_id, **device_info_copy}
devices.append(msg)
return devices
@@ -273,7 +488,7 @@ class Registry:
lab_registry = Registry()
def build_registry(registry_paths=None):
def build_registry(registry_paths=None, complete_registry=False):
"""
构建或获取Registry单例实例
@@ -297,6 +512,6 @@ def build_registry(registry_paths=None):
lab_registry.registry_paths.append(path)
# 初始化注册表
lab_registry.setup()
lab_registry.setup(complete_registry)
return lab_registry

View File

@@ -55,7 +55,7 @@ def ros2_device_node(
"read": "read_data",
"extra_info": [],
}
# FIXME 后面要删除
for k, v in cls.__dict__.items():
if not k.startswith("_") and isinstance(v, property):
# noinspection PyUnresolvedReferences

View File

@@ -343,7 +343,7 @@ def convert_to_ros_msg(ros_msg_type: Union[Type, Any], obj: Any) -> Any:
if hasattr(ros_msg, key):
attr = getattr(ros_msg, key)
if isinstance(attr, (float, int, str, bool)):
setattr(ros_msg, key, value)
setattr(ros_msg, key, type(attr)(value))
elif isinstance(attr, (list, tuple)) and isinstance(value, Iterable):
td = ros_msg.SLOT_TYPES[ind].value_type
if isinstance(td, NamespacedType):
@@ -727,7 +727,6 @@ def ros_action_to_json_schema(action_class: Any) -> Dict[str, Any]:
# 创建基础 schema
schema = {
'$schema': 'http://json-schema.org/draft-07/schema#',
'title': action_class.__name__,
'description': f"ROS Action {action_class.__name__} 的 JSON Schema",
'type': 'object',

View File

@@ -1,4 +1,5 @@
import copy
import io
import json
import threading
import time
@@ -10,6 +11,7 @@ from concurrent.futures import ThreadPoolExecutor
import asyncio
import rclpy
import yaml
from rclpy.node import Node
from rclpy.action import ActionServer, ActionClient
from rclpy.action.server import ServerGoalHandle
@@ -166,7 +168,10 @@ class PropertyPublisher:
self.print_publish = print_publish
self._value = None
self.publisher_ = node.create_publisher(msg_type, f"{name}", 10)
try:
self.publisher_ = node.create_publisher(msg_type, f"{name}", 10)
except AttributeError as ex:
logger.error(f"创建发布者失败,可能由于注册表有误,类型: {msg_type},错误: {ex}\n{traceback.format_exc()}")
self.timer = node.create_timer(self.timer_period, self.publish_property)
self.__loop = get_event_loop()
str_msg_type = str(msg_type)[8:-2]
@@ -302,6 +307,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# 创建动作服务
if self.create_action_server:
for action_name, action_value_mapping in self._action_value_mappings.items():
if action_name.startswith("auto-"):
continue
self.create_ros_action_server(action_name, action_value_mapping)
# 创建线程池执行器
@@ -838,6 +845,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
class DeviceInitError(Exception):
pass
class JsonCommandInitError(Exception):
pass
class ROS2DeviceNode:
"""
@@ -954,12 +963,51 @@ class ROS2DeviceNode:
self._ros_node: BaseROS2DeviceNode
self._ros_node.lab_logger().info(f"初始化完成 {self._ros_node.uuid} {self.driver_is_ros}")
self.driver_instance._ros_node = self._ros_node # type: ignore
self.driver_instance._execute_driver_command = self._execute_driver_command # type: ignore
self.driver_instance._execute_driver_command_async = self._execute_driver_command_async # type: ignore
if hasattr(self.driver_instance, "post_init"):
try:
self.driver_instance.post_init(self._ros_node) # type: ignore
except Exception as e:
self._ros_node.lab_logger().error(f"设备后初始化失败: {e}")
def _execute_driver_command(self, string: str):
try:
target = json.loads(string)
except Exception as ex:
try:
target = yaml.safe_load(io.StringIO(string))
except Exception as ex2:
raise JsonCommandInitError(f"执行动作时JSON/YAML解析失败: \n{ex}\n{ex2}\n原内容: {string}\n{traceback.format_exc()}")
try:
function_name = target["function_name"]
function_args = target["function_args"]
assert isinstance(function_args, dict), "执行动作时JSON必须为dict类型\n原JSON: {string}"
function = getattr(self.driver_instance, function_name)
assert callable(function), f"执行动作时JSON中的function_name对应的函数不可调用: {function_name}\n原JSON: {string}"
return function(**function_args)
except KeyError as ex:
raise JsonCommandInitError(f"执行动作时JSON缺少function_name或function_args: {ex}\n原JSON: {string}\n{traceback.format_exc()}")
async def _execute_driver_command_async(self, string: str):
try:
target = json.loads(string)
except Exception as ex:
try:
target = yaml.safe_load(io.StringIO(string))
except Exception as ex2:
raise JsonCommandInitError(f"执行动作时JSON/YAML解析失败: \n{ex}\n{ex2}\n原内容: {string}\n{traceback.format_exc()}")
try:
function_name = target["function_name"]
function_args = target["function_args"]
assert isinstance(function_args, dict), "执行动作时JSON必须为dict类型\n原JSON: {string}"
function = getattr(self.driver_instance, function_name)
assert callable(function), f"执行动作时JSON中的function_name对应的函数不可调用: {function_name}\n原JSON: {string}"
assert asyncio.iscoroutinefunction(function), f"执行动作时JSON中的function并非异步: {function_name}\n原JSON: {string}"
return await function(**function_args)
except KeyError as ex:
raise JsonCommandInitError(f"执行动作时JSON缺少function_name或function_args: {ex}\n原JSON: {string}\n{traceback.format_exc()}")
def _start_loop(self):
def run_event_loop():
loop = asyncio.new_event_loop()

View File

@@ -0,0 +1,61 @@
import rclpy
from rclpy.node import Node
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker
class VideoPublisher(BaseROS2DeviceNode):
def __init__(self, device_id='video_publisher', camera_index=0, period: float = 0.1, resource_tracker: DeviceNodeResourceTracker = None):
# 初始化BaseROS2DeviceNode使用自身作为driver_instance
BaseROS2DeviceNode.__init__(
self,
driver_instance=self,
device_id=device_id,
status_types={},
action_value_mappings={},
hardware_interface="camera",
print_publish=False,
resource_tracker=resource_tracker,
)
# 创建一个发布者,发布到 /video 话题,消息类型为 sensor_msgs/Image队列长度设为 10
self.publisher_ = self.create_publisher(Image, f'/{device_id}/video', 10)
# 初始化摄像头(默认设备索引为 0
self.cap = cv2.VideoCapture(camera_index)
if not self.cap.isOpened():
self.get_logger().error("无法打开摄像头")
# 用于将 OpenCV 的图像转换为 ROS 图像消息
self.bridge = CvBridge()
# 设置定时器10 Hz 发布一次
timer_period = period # 单位:秒
self.timer = self.create_timer(timer_period, self.timer_callback)
def timer_callback(self):
ret, frame = self.cap.read()
if not ret:
self.get_logger().error("读取视频帧失败")
return
# 将 OpenCV 图像转换为 ROS Image 消息,注意图像编码需与摄像头数据匹配,这里使用 bgr8
img_msg = self.bridge.cv2_to_imgmsg(frame, encoding="bgr8")
self.publisher_.publish(img_msg)
# self.get_logger().info("已发布视频帧")
def destroy_node(self):
# 释放摄像头资源
if self.cap.isOpened():
self.cap.release()
super().destroy_node()
def main(args=None):
rclpy.init(args=args)
node = VideoPublisher()
try:
rclpy.spin(node)
except KeyboardInterrupt:
pass
finally:
node.destroy_node()
rclpy.shutdown()
if __name__ == '__main__':
main()

View File

@@ -459,6 +459,8 @@ class HostNode(BaseROS2DeviceNode):
self.devices_instances[device_id] = d
# noinspection PyProtectedMember
for action_name, action_value_mapping in d._ros_node._action_value_mappings.items():
if action_name.startswith("auto-"):
continue
action_id = f"/devices/{device_id}/{action_name}"
if action_id not in self._action_clients:
action_type = action_value_mapping["type"]
@@ -567,6 +569,7 @@ class HostNode(BaseROS2DeviceNode):
def send_goal(
self,
device_id: str,
action_type: str,
action_name: str,
action_kwargs: Dict[str, Any],
goal_uuid: Optional[str] = None,
@@ -577,11 +580,26 @@ class HostNode(BaseROS2DeviceNode):
Args:
device_id: 设备ID
action_type: 动作类型
action_name: 动作名称
action_kwargs: 动作参数
goal_uuid: 目标UUID如果为None则自动生成
server_info: 服务器发送信息,包含发送时间戳等
"""
action_id = f"/devices/{device_id}/{action_name}"
if action_type.startswith("UniLabJsonCommand"):
if action_name.startswith("auto-"):
action_name = action_name[5:]
action_id = f"/devices/{device_id}/_execute_driver_command"
action_kwargs = {
"string": json.dumps({
"function_name": action_name,
"function_args": action_kwargs,
})
}
if action_type.startswith("UniLabJsonCommandAsync"):
action_id = f"/devices/{device_id}/_execute_driver_command_async"
else:
action_id = f"/devices/{device_id}/{action_name}"
if action_name == "test_latency" and server_info is not None:
self.server_latest_timestamp = server_info.get("send_timestamp", 0.0)
if action_id not in self._action_clients:

View File

@@ -1,7 +1,5 @@
import time
import asyncio
import traceback
from types import MethodType
from typing import Union
import rclpy
@@ -19,9 +17,11 @@ from unilabos.ros.msgs.message_converter import (
get_action_type,
convert_to_ros_msg,
convert_from_ros_msg,
convert_from_ros_msg_with_mapping,
convert_from_ros_msg_with_mapping, String,
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode
from unilabos.utils.log import error
from unilabos.utils.type_check import serialize_result_info
class ROS2ProtocolNode(BaseROS2DeviceNode):
@@ -33,7 +33,15 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
# create_action_server = False # Action Server要自己创建
def __init__(self, device_id: str, children: dict, protocol_type: Union[str, list[str]], resource_tracker: DeviceNodeResourceTracker, *args, **kwargs):
def __init__(
self,
device_id: str,
children: dict,
protocol_type: Union[str, list[str]],
resource_tracker: DeviceNodeResourceTracker,
*args,
**kwargs,
):
self._setup_protocol_names(protocol_type)
# 初始化其它属性
@@ -60,12 +68,14 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
for device_id, device_config in self.children.items():
if device_config.get("type", "device") != "device":
self.lab_logger().debug(f"[Protocol Node] Skipping type {device_config['type']} {device_id} already existed, skipping.")
self.lab_logger().debug(
f"[Protocol Node] Skipping type {device_config['type']} {device_id} already existed, skipping."
)
continue
try:
d = self.initialize_device(device_id, device_config)
except Exception as ex:
self.lab_logger().error(f"[Protocol Node] Failed to initialize device {device_id}: {ex}")
self.lab_logger().error(f"[Protocol Node] Failed to initialize device {device_id}: {ex}\n{traceback.format_exc()}")
d = None
if d is None:
continue
@@ -76,22 +86,27 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
# 设置硬件接口代理
if d:
hardware_interface = d.ros_node_instance._hardware_interface
if (
hasattr(d.driver_instance, d.ros_node_instance._hardware_interface["name"])
and hasattr(d.driver_instance, d.ros_node_instance._hardware_interface["write"])
and (d.ros_node_instance._hardware_interface["read"] is None or hasattr(d.driver_instance, d.ros_node_instance._hardware_interface["read"]))
hasattr(d.driver_instance, hardware_interface["name"])
and hasattr(d.driver_instance, hardware_interface["write"])
and (hardware_interface["read"] is None or hasattr(d.driver_instance, hardware_interface["read"]))
):
name = getattr(d.driver_instance, d.ros_node_instance._hardware_interface["name"])
read = d.ros_node_instance._hardware_interface.get("read", None)
write = d.ros_node_instance._hardware_interface.get("write", None)
name = getattr(d.driver_instance, hardware_interface["name"])
read = hardware_interface.get("read", None)
write = hardware_interface.get("write", None)
# 如果硬件接口是字符串,通过通信设备提供
if isinstance(name, str) and name in self.sub_devices:
communicate_device = self.sub_devices[name]
communicate_hardware_info = communicate_device.ros_node_instance._hardware_interface
self._setup_hardware_proxy(d, self.sub_devices[name], read, write)
self.lab_logger().info(f"\n通信代理:为子设备{device_id}\n 添加了{read}方法(来源:{name} {communicate_hardware_info['write']}) \n 添加了{write}方法(来源:{name} {communicate_hardware_info['read']})")
self.lab_logger().info(
f"\n通信代理:为子设备{device_id}\n "
f"添加了{read}方法(来源:{name} {communicate_hardware_info['write']}) \n "
f"添加了{write}方法(来源:{name} {communicate_hardware_info['read']})"
)
def _setup_protocol_names(self, protocol_type):
# 处理协议类型
@@ -119,11 +134,17 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
if d is not None and hasattr(d, "ros_node_instance"):
node = d.ros_node_instance
for action_name, action_mapping in node._action_value_mappings.items():
if action_name.startswith("auto-"):
continue
action_id = f"/devices/{device_id_abs}/{action_name}"
if action_id not in self._action_clients:
self._action_clients[action_id] = ActionClient(
self, action_mapping["type"], action_id, callback_group=self.callback_group
)
try:
self._action_clients[action_id] = ActionClient(
self, action_mapping["type"], action_id, callback_group=self.callback_group
)
except Exception as ex:
self.lab_logger().error(f"创建动作客户端失败: {action_id}, 错误: {ex}")
continue
self.lab_logger().debug(f"为子设备 {device_id} 创建动作客户端: {action_name}")
return d
@@ -149,63 +170,126 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
def _create_protocol_execute_callback(self, protocol_name, protocol_steps_generator):
async def execute_protocol(goal_handle: ServerGoalHandle):
"""执行完整的工作流"""
self.get_logger().info(f'Executing {protocol_name} action...')
# 初始化结果信息变量
execution_error = ""
execution_success = False
protocol_return_value = None
self.get_logger().info(f"Executing {protocol_name} action...")
action_value_mapping = self._action_value_mappings[protocol_name]
print('+'*30)
print(protocol_steps_generator)
# 从目标消息中提取参数, 并调用Protocol生成器(根据设备连接图)生成action步骤
goal = goal_handle.request
protocol_kwargs = convert_from_ros_msg_with_mapping(goal, action_value_mapping["goal"])
try:
print("+" * 30)
print(protocol_steps_generator)
# 从目标消息中提取参数, 并调用Protocol生成器(根据设备连接图)生成action步骤
goal = goal_handle.request
protocol_kwargs = convert_from_ros_msg_with_mapping(goal, action_value_mapping["goal"])
# 向Host查询物料当前状态
for k, v in goal.get_fields_and_field_types().items():
if v in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
r = ResourceGet.Request()
r.id = protocol_kwargs[k]["id"] if v == "unilabos_msgs/Resource" else protocol_kwargs[k][0]["id"]
r.with_children = True
response = await self._resource_clients["resource_get"].call_async(r)
protocol_kwargs[k] = list_to_nested_dict([convert_from_ros_msg(rs) for rs in response.resources])
# 向Host查询物料当前状态
for k, v in goal.get_fields_and_field_types().items():
if v in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
r = ResourceGet.Request()
resource_id = (
protocol_kwargs[k]["id"] if v == "unilabos_msgs/Resource" else protocol_kwargs[k][0]["id"]
)
r.id = resource_id
r.with_children = True
response = await self._resource_clients["resource_get"].call_async(r)
protocol_kwargs[k] = list_to_nested_dict(
[convert_from_ros_msg(rs) for rs in response.resources]
)
from unilabos.resources.graphio import physical_setup_graph
self.get_logger().info(f'Working on physical setup: {physical_setup_graph}')
protocol_steps = protocol_steps_generator(G=physical_setup_graph, **protocol_kwargs)
from unilabos.resources.graphio import physical_setup_graph
self.get_logger().info(f'Goal received: {protocol_kwargs}, running steps: \n{protocol_steps}')
self.lab_logger().info(f"Working on physical setup: {physical_setup_graph}")
protocol_steps = protocol_steps_generator(G=physical_setup_graph, **protocol_kwargs)
time_start = time.time()
time_overall = 100
self._busy = True
self.lab_logger().info(f"Goal received: {protocol_kwargs}, running steps: \n{protocol_steps}")
# 逐步执行工作流
for i, action in enumerate(protocol_steps):
self.get_logger().info(f'Running step {i+1}: {action}')
if type(action) == dict:
# 如果是单个动作,直接执行
if action["action_name"] == "wait":
time.sleep(action["action_kwargs"]["time"])
else:
result = await self.execute_single_action(**action)
elif type(action) == list:
# 如果是并行动作,同时执行
actions = action
futures = [rclpy.get_global_executor().create_task(self.execute_single_action(**a)) for a in actions]
results = [await f for f in futures]
time_start = time.time()
time_overall = 100
self._busy = True
# 向Host更新物料当前状态
for k, v in goal.get_fields_and_field_types().items():
if v in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
r = ResourceUpdate.Request()
r.resources = [
convert_to_ros_msg(Resource, rs) for rs in nested_dict_to_list(protocol_kwargs[k])
]
response = await self._resource_clients["resource_update"].call_async(r)
# 逐步执行工作流
step_results = []
for i, action in enumerate(protocol_steps):
self.get_logger().info(f"Running step {i + 1}: {action}")
if isinstance(action, dict):
# 如果是单个动作,直接执行
if action["action_name"] == "wait":
time.sleep(action["action_kwargs"]["time"])
step_results.append({"step": i + 1, "action": "wait", "result": "completed"})
else:
result = await self.execute_single_action(**action)
step_results.append({"step": i + 1, "action": action["action_name"], "result": result})
elif isinstance(action, list):
# 如果是并行动作,同时执行
actions = action
futures = [
rclpy.get_global_executor().create_task(self.execute_single_action(**a)) for a in actions
]
results = [await f for f in futures]
step_results.append(
{
"step": i + 1,
"parallel_actions": [a["action_name"] for a in actions],
"results": results,
}
)
goal_handle.succeed()
# 向Host更新物料当前状态
for k, v in goal.get_fields_and_field_types().items():
if v in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
r = ResourceUpdate.Request()
r.resources = [
convert_to_ros_msg(Resource, rs) for rs in nested_dict_to_list(protocol_kwargs[k])
]
response = await self._resource_clients["resource_update"].call_async(r)
# 设置成功状态和返回值
execution_success = True
protocol_return_value = {
"protocol_name": protocol_name,
"steps_executed": len(protocol_steps),
"step_results": step_results,
"total_time": time.time() - time_start,
}
goal_handle.succeed()
except Exception as e:
# 捕获并记录错误信息
execution_error = traceback.format_exc()
execution_success = False
error(f"协议 {protocol_name} 执行失败")
error(traceback.format_exc())
self.lab_logger().error(f"协议执行出错: {str(e)}")
# 设置动作失败
goal_handle.abort()
finally:
self._busy = False
# 创建结果消息
result = action_value_mapping["type"].Result()
result.success = True
result.success = execution_success
self._busy = False
# 获取结果消息类型信息检查是否有return_info字段
result_msg_types = action_value_mapping["type"].Result.get_fields_and_field_types()
# 设置return_info字段如果存在
for attr_name in result_msg_types.keys():
if attr_name in ["success", "reached_goal"]:
setattr(result, attr_name, execution_success)
elif attr_name == "return_info":
setattr(
result,
attr_name,
serialize_result_info(execution_error, execution_success, protocol_return_value),
)
self.lab_logger().info(f"协议 {protocol_name} 完成并返回结果")
return result
return execute_protocol
async def execute_single_action(self, device_id, action_name, action_kwargs):
@@ -241,14 +325,19 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
return result_future.result
"""还没有改过的部分"""
def _setup_hardware_proxy(self, device: ROS2DeviceNode, communication_device: ROS2DeviceNode, read_method, write_method):
def _setup_hardware_proxy(
self, device: ROS2DeviceNode, communication_device: ROS2DeviceNode, read_method, write_method
):
"""为设备设置硬件接口代理"""
# extra_info = [getattr(device.driver_instance, info) for info in communication_device.ros_node_instance._hardware_interface.get("extra_info", [])]
write_func = getattr(communication_device.driver_instance, communication_device.ros_node_instance._hardware_interface["write"])
read_func = getattr(communication_device.driver_instance, communication_device.ros_node_instance._hardware_interface["read"])
write_func = getattr(
communication_device.driver_instance, communication_device.ros_node_instance._hardware_interface["write"]
)
read_func = getattr(
communication_device.driver_instance, communication_device.ros_node_instance._hardware_interface["read"]
)
def _read(*args, **kwargs):
return read_func(*args, **kwargs)
@@ -264,7 +353,6 @@ class ROS2ProtocolNode(BaseROS2DeviceNode):
# bound_write = MethodType(_write, device.driver_instance)
setattr(device.driver_instance, write_method, _write)
async def _update_resources(self, goal, protocol_kwargs):
"""更新资源状态"""
for k, v in goal.get_fields_and_field_types().items():

View File

@@ -7,7 +7,11 @@
import builtins
import importlib
import inspect
import sys
import traceback
import ast
import os
from pathlib import Path
from typing import Dict, List, Any, Optional, Callable, Type
@@ -18,8 +22,12 @@ __all__ = [
"get_class",
"get_module",
"init_from_list",
"get_class_info_static",
"get_registry_class_info",
]
from ast import Constant
from unilabos.utils import logger
@@ -114,15 +122,16 @@ class ImportManager:
# 尝试动态导入
if ":" in class_name:
module_path, cls_name = class_name.rsplit(":", 1)
# 如果cls_name是builtins中的关键字则返回对应类
if cls_name in builtins.__dict__:
return builtins.__dict__[cls_name]
module = self.load_module(module_path)
if hasattr(module, cls_name):
cls = getattr(module, cls_name)
self._classes[class_name] = cls
self._classes[cls_name] = cls
return cls
else:
# 如果cls_name是builtins中的关键字则返回对应类
if class_name in builtins.__dict__:
return builtins.__dict__[class_name]
raise KeyError(f"找不到类: {class_name}")
@@ -149,6 +158,9 @@ class ImportManager:
Returns:
找到的类对象如果未找到则返回None
"""
# 如果cls_name是builtins中的关键字则返回对应类
if class_name in builtins.__dict__:
return builtins.__dict__[class_name]
# 首先在已索引的类中查找
if class_name in self._classes:
return self._classes[class_name]
@@ -161,7 +173,9 @@ class ImportManager:
# 遍历所有已加载的模块进行搜索
for module_path, module in self._modules.items():
for name, obj in inspect.getmembers(module):
if inspect.isclass(obj) and ((name.lower() == class_name.lower()) if search_lower else (name == class_name)):
if inspect.isclass(obj) and (
(name.lower() == class_name.lower()) if search_lower else (name == class_name)
):
# 将找到的类添加到索引中
self._classes[name] = obj
self._classes[f"{module_path}:{name}"] = obj
@@ -169,6 +183,562 @@ class ImportManager:
return None
def get_enhanced_class_info(self, module_path: str, use_dynamic: bool = True) -> Dict[str, Any]:
"""
获取增强的类信息,支持动态导入和静态分析
Args:
module_path: 模块路径,格式为 "module.path""module.path:ClassName"
use_dynamic: 是否优先使用动态导入
Returns:
包含详细类信息的字典
"""
result = {
"module_path": module_path,
"dynamic_import_success": False,
"static_analysis_success": False,
"init_params": {},
"status_methods": {}, # get_ 开头和 @property 方法
"action_methods": {}, # set_ 开头和其他非_开头方法
}
# 尝试动态导入
dynamic_info = None
static_info = None
if use_dynamic:
try:
dynamic_info = self._get_dynamic_class_info(module_path)
result["dynamic_import_success"] = True
logger.debug(f"[ImportManager] 动态导入类 {module_path} 成功")
except Exception as e:
logger.warning(
f"[UniLab Registry] 在补充注册表时,动态导入类 "
f"{module_path} 失败(将使用静态分析,"
f"建议修复导入错误,以实现更好的注册表识别效果!): {e}"
)
use_dynamic = False
if not use_dynamic:
# 尝试静态分析
try:
static_info = self._get_static_class_info(module_path)
result["static_analysis_success"] = True
logger.debug(f"[ImportManager] 静态分析类 {module_path} 成功")
except Exception as e:
logger.warning(f"[ImportManager] 静态分析类 {module_path} 失败: {e}")
# 合并信息(优先使用动态导入的信息)
if dynamic_info:
result.update(dynamic_info)
elif static_info:
result.update(static_info)
return result
def _get_dynamic_class_info(self, class_path: str) -> Dict[str, Any]:
"""使用inspect模块动态获取类信息"""
cls = get_class(class_path)
class_name = cls.__name__
result = {"class_name": class_name, "init_params": self._analyze_method_signature(cls.__init__)["args"],
"status_methods": {}, "action_methods": {}}
# 分析类的所有成员
for name, method in cls.__dict__.items():
if name.startswith("_"):
continue
# 检查是否是property
if isinstance(method, property):
# @property 装饰的方法
# noinspection PyTypeChecker
return_type = self._get_return_type_from_method(method.fget) if method.fget else "Any"
prop_info = {
"name": name,
"return_type": return_type,
}
result["status_methods"][name] = prop_info
# 检查是否有对应的setter
if method.fset:
setter_info = self._analyze_method_signature(method.fset)
result["action_methods"][name] = setter_info
elif inspect.ismethod(method) or inspect.isfunction(method):
if name.startswith("get_"):
actual_name = name[4:] # 去掉get_前缀
if actual_name in result["status_methods"]:
continue
# get_ 开头的方法归类为status
method_info = self._analyze_method_signature(method)
result["status_methods"][actual_name] = method_info
elif not name.startswith("_"):
# 其他非_开头的方法归类为action
method_info = self._analyze_method_signature(method)
result["action_methods"][name] = method_info
return result
def _get_static_class_info(self, module_path: str) -> Dict[str, Any]:
"""使用AST静态分析获取类信息"""
module_name, class_name = module_path.rsplit(":", 1)
# 将模块路径转换为文件路径
file_path = self._module_path_to_file_path(module_name)
if not file_path or not os.path.exists(file_path):
raise FileNotFoundError(f"找不到模块文件: {module_name} -> {file_path}")
with open(file_path, "r", encoding="utf-8") as f:
source_code = f.read()
tree = ast.parse(source_code)
# 查找目标类
target_class = None
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
if node.name == class_name:
target_class = node
break
if target_class is None:
raise AttributeError(f"在文件 {file_path} 中找不到类 {class_name}")
result = {
"class_name": class_name,
"init_params": {},
"status_methods": {},
"action_methods": {},
}
# 分析类的方法
for node in target_class.body:
if isinstance(node, ast.FunctionDef):
method_info = self._analyze_method_node(node)
method_name = node.name
if method_name == "__init__":
result["init_params"] = method_info["args"]
elif method_name.startswith("_"):
continue
elif self._is_property_method(node):
# @property 装饰的方法
result["status_methods"][method_name] = method_info
elif method_name.startswith("get_"):
# get_ 开头的方法归类为status
actual_name = method_name[4:] # 去掉get_前缀
if actual_name not in result["status_methods"]:
result["status_methods"][actual_name] = method_info
else:
# 其他非_开头的方法归类为action
result["action_methods"][method_name] = method_info
return result
def _analyze_method_signature(self, method) -> Dict[str, Any]:
"""
分析方法签名,提取具体的命名参数信息
注意:此方法会跳过*args和**kwargs只提取具体的命名参数
这样可以确保通过**dict方式传参时的准确性
示例用法:
method_info = self._analyze_method_signature(some_method)
params = {"param1": "value1", "param2": "value2"}
result = some_method(**params) # 安全的参数传递
"""
signature = inspect.signature(method)
args = []
num_required = 0
for param_name, param in signature.parameters.items():
# 跳过self参数
if param_name == "self":
continue
# 跳过*args和**kwargs参数
if param.kind == param.VAR_POSITIONAL: # *args
continue
if param.kind == param.VAR_KEYWORD: # **kwargs
continue
is_required = param.default == inspect.Parameter.empty
if is_required:
num_required += 1
args.append(
{
"name": param_name,
"type": self._get_type_string(param.annotation),
"required": is_required,
"default": None if param.default == inspect.Parameter.empty else param.default,
}
)
return {
"name": method.__name__,
"args": args,
"return_type": self._get_type_string(signature.return_annotation),
"is_async": inspect.iscoroutinefunction(method),
}
def _get_return_type_from_method(self, method) -> str:
"""从方法中获取返回类型"""
signature = inspect.signature(method)
return self._get_type_string(signature.return_annotation)
def _get_type_string(self, annotation) -> str:
"""将类型注解转换为Class Library中可搜索的类名"""
if annotation == inspect.Parameter.empty:
return "Any" # 如果没有注解返回Any
if annotation is None:
return "None" # 明确的None类型
if hasattr(annotation, "__origin__"):
# 处理typing模块的类型
origin = annotation.__origin__
if origin in (list, set, tuple):
if hasattr(annotation, "__args__") and annotation.__args__:
if len(annotation.__args__):
arg0 = annotation.__args__[0]
if isinstance(arg0, int):
return "Int64MultiArray"
elif isinstance(arg0, float):
return "Float64MultiArray"
return "list"
elif origin is dict:
return "dict"
elif origin is Optional:
return "Unknown"
return f"Unknown"
annotation_str = str(annotation)
# 处理typing模块的复杂类型
if "typing." in annotation_str:
# 简化typing类型显示
return (
annotation_str.replace("typing.", "")
if getattr(annotation, "_name", None) is None
else annotation._name.lower()
)
# 如果是类型对象
if hasattr(annotation, "__name__"):
# 如果是内置类型
if annotation.__module__ == "builtins":
return annotation.__name__
else:
# 如果是自定义类,返回完整路径
return f"{annotation.__module__}:{annotation.__name__}"
# 如果是typing模块的类型
elif hasattr(annotation, "_name"):
return annotation._name
# 如果是字符串形式的类型注解
elif isinstance(annotation, str):
return annotation
else:
return annotation_str
def _is_property_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@property装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Name) and decorator.id == "property":
return True
return False
def _is_setter_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@xxx.setter装饰的方法"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Attribute) and decorator.attr == "setter":
return True
return False
def _get_property_name_from_setter(self, node: ast.FunctionDef) -> str:
"""从setter装饰器中获取属性名"""
for decorator in node.decorator_list:
if isinstance(decorator, ast.Attribute) and decorator.attr == "setter":
if isinstance(decorator.value, ast.Name):
return decorator.value.id
return node.name
def get_class_info_static(self, module_class_path: str) -> Dict[str, Any]:
"""
静态分析获取类的方法信息,不需要实际导入模块
Args:
module_class_path: 格式为 "module.path:ClassName" 的字符串
Returns:
包含类方法信息的字典
"""
try:
if ":" not in module_class_path:
raise ValueError("module_class_path必须是 'module.path:ClassName' 格式")
module_path, class_name = module_class_path.rsplit(":", 1)
# 将模块路径转换为文件路径
file_path = self._module_path_to_file_path(module_path)
if not file_path or not os.path.exists(file_path):
logger.warning(f"找不到模块文件: {module_path} -> {file_path}")
return {}
# 解析源码
with open(file_path, "r", encoding="utf-8") as f:
source_code = f.read()
tree = ast.parse(source_code)
# 查找目标类
class_node = None
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef) and node.name == class_name:
class_node = node
break
if not class_node:
logger.warning(f"在模块 {module_path} 中找不到类 {class_name}")
return {}
# 分析类的方法
methods_info = {}
for node in class_node.body:
if isinstance(node, ast.FunctionDef):
method_info = self._analyze_method_node(node)
methods_info[node.name] = method_info
return {
"class_name": class_name,
"module_path": module_path,
"file_path": file_path,
"methods": methods_info,
}
except Exception as e:
logger.error(f"静态分析类 {module_class_path} 时出错: {str(e)}")
return {}
def _module_path_to_file_path(self, module_path: str) -> Optional[str]:
for path in sys.path:
potential_path = Path(path) / module_path.replace(".", "/")
# 检查是否为包
if (potential_path / "__init__.py").exists():
return str(potential_path / "__init__.py")
# 检查是否为模块文件
if (potential_path.parent / f"{potential_path.name}.py").exists():
return str(potential_path.parent / f"{potential_path.name}.py")
return None
def _analyze_method_node(self, node: ast.FunctionDef) -> Dict[str, Any]:
"""分析方法节点,提取参数和返回类型信息"""
method_info = {
"name": node.name,
"args": [],
"return_type": None,
"is_async": isinstance(node, ast.AsyncFunctionDef),
}
# 获取默认值列表
defaults = node.args.defaults
num_defaults = len(defaults)
# 计算必需参数数量
total_args = len(node.args.args)
num_required = total_args - num_defaults
# 提取参数信息
for i, arg in enumerate(node.args.args):
if arg.arg == "self":
continue
arg_info = {
"name": arg.arg,
"type": None,
"default": None,
"required": i < num_required,
}
# 提取类型注解
if arg.annotation:
arg_info["type"] = ast.unparse(arg.annotation) if hasattr(ast, "unparse") else str(arg.annotation)
# 提取默认值并推断类型
if i >= num_required:
default_index = i - num_required
if default_index < len(defaults):
default_value: Constant = defaults[default_index] # type: ignore
assert isinstance(default_value, Constant), "暂不支持对非常量类型进行推断,可反馈开源仓库"
arg_info["default"] = default_value.value
# 如果没有类型注解,尝试从默认值推断类型
if not arg_info["type"]:
arg_info["type"] = self._get_type_string(type(arg_info["default"]))
method_info["args"].append(arg_info)
# 提取返回类型
if node.returns:
method_info["return_type"] = ast.unparse(node.returns) if hasattr(ast, "unparse") else str(node.returns)
return method_info
def _infer_type_from_default(self, node: ast.AST) -> Optional[str]:
"""从默认值推断参数类型"""
if isinstance(node, ast.Constant):
value = node.value
if isinstance(value, bool):
return "bool"
elif isinstance(value, int):
return "int"
elif isinstance(value, float):
return "float"
elif isinstance(value, str):
return "str"
elif value is None:
return "Optional[Any]"
elif isinstance(node, ast.List):
return "List"
elif isinstance(node, ast.Dict):
return "Dict"
elif isinstance(node, ast.Tuple):
return "Tuple"
elif isinstance(node, ast.Set):
return "Set"
elif isinstance(node, ast.Name):
# 常见的默认值模式
if node.id in ["None"]:
return "Optional[Any]"
elif node.id in ["True", "False"]:
return "bool"
return None
def _infer_types_from_docstring(self, method_info: Dict[str, Any]) -> None:
"""从docstring中推断参数类型"""
docstring = method_info.get("docstring", "")
if not docstring:
return
lines = docstring.split("\n")
in_args_section = False
for line in lines:
line = line.strip()
# 检测Args或Arguments段落
if line.lower().startswith(("args:", "arguments:")):
in_args_section = True
continue
elif line.startswith(("returns:", "return:", "yields:", "raises:")):
in_args_section = False
continue
elif not line or not in_args_section:
continue
# 解析参数行,格式通常是: param_name (type): description 或 param_name: description
if ":" in line:
parts = line.split(":", 1)
param_part = parts[0].strip()
# 提取参数名和类型
param_name = None
param_type = None
if "(" in param_part and ")" in param_part:
# 格式: param_name (type)
param_name = param_part.split("(")[0].strip()
type_part = param_part.split("(")[1].split(")")[0].strip()
param_type = type_part
else:
# 格式: param_name
param_name = param_part
# 更新对应参数的类型信息
if param_name:
for arg_info in method_info["args"]:
if arg_info["name"] == param_name and not arg_info["type"]:
if param_type:
arg_info["inferred_type"] = param_type
elif not arg_info["inferred_type"]:
# 从描述中推断类型
description = parts[1].strip().lower()
if any(word in description for word in ["path", "file", "directory", "filename"]):
arg_info["inferred_type"] = "str"
elif any(
word in description for word in ["port", "number", "count", "size", "length"]
):
arg_info["inferred_type"] = "int"
elif any(
word in description for word in ["rate", "ratio", "percentage", "temperature"]
):
arg_info["inferred_type"] = "float"
elif any(word in description for word in ["flag", "enable", "disable", "option"]):
arg_info["inferred_type"] = "bool"
def get_registry_class_info(self, module_class_path: str) -> Dict[str, Any]:
"""
获取适用于注册表的类信息,包含完整的类型推断
Args:
module_class_path: 格式为 "module.path:ClassName" 的字符串
Returns:
适用于注册表的类信息字典
"""
class_info = self.get_class_info_static(module_class_path)
if not class_info:
return {}
registry_info = {
"class_name": class_info["class_name"],
"module_path": class_info["module_path"],
"file_path": class_info["file_path"],
"methods": {},
"properties": [],
"init_params": {},
"action_methods": {},
}
for method_name, method_info in class_info["methods"].items():
# 分类处理不同类型的方法
if method_info["is_property"]:
registry_info["properties"].append(
{
"name": method_name,
"return_type": method_info.get("return_type"),
"docstring": method_info.get("docstring"),
}
)
elif method_name == "__init__":
# 处理初始化参数
init_params = {}
for arg in method_info["args"]:
if arg["name"] != "self":
param_info = {
"name": arg["name"],
"type": arg.get("type") or arg.get("inferred_type"),
"required": arg.get("is_required", True),
"default": arg.get("default"),
}
init_params[arg["name"]] = param_info
registry_info["init_params"] = init_params
elif not method_name.startswith("_"):
# 处理公共方法可能的action方法
action_info = {
"name": method_name,
"params": {},
"return_type": method_info.get("return_type"),
"docstring": method_info.get("docstring"),
"num_required": method_info.get("num_required", 0) - 1, # 减去self
"num_defaults": method_info.get("num_defaults", 0),
}
for arg in method_info["args"]:
if arg["name"] != "self":
param_info = {
"name": arg["name"],
"type": arg.get("type") or arg.get("inferred_type"),
"required": arg.get("is_required", True),
"default": arg.get("default"),
}
action_info["params"][arg["name"]] = param_info
registry_info["action_methods"][method_name] = action_info
return registry_info
# 全局实例,便于直接使用
default_manager = ImportManager()
@@ -193,3 +763,18 @@ def init_from_list(module_list: List[str]) -> None:
"""从模块列表初始化默认管理器"""
global default_manager
default_manager = ImportManager(module_list)
def get_class_info_static(module_class_path: str) -> Dict[str, Any]:
"""静态分析获取类信息的便捷函数"""
return default_manager.get_class_info_static(module_class_path)
def get_registry_class_info(module_class_path: str) -> Dict[str, Any]:
"""获取适用于注册表的类信息的便捷函数"""
return default_manager.get_registry_class_info(module_class_path)
def get_enhanced_class_info(module_path: str, use_dynamic: bool = True) -> Dict[str, Any]:
"""获取增强的类信息的便捷函数"""
return default_manager.get_enhanced_class_info(module_path, use_dynamic)

View File

@@ -2,6 +2,8 @@ import collections.abc
import json
from typing import get_origin, get_args
import yaml
def get_type_class(type_hint):
origin = get_origin(type_hint)
@@ -22,6 +24,12 @@ class TypeEncoder(json.JSONEncoder):
return super().default(obj)
class NoAliasDumper(yaml.SafeDumper):
def ignore_aliases(self, data):
return True
class ResultInfoEncoder(json.JSONEncoder):
"""专门用于处理任务执行结果信息的JSON编码器"""

View File

@@ -1,4 +1,4 @@
cmake_minimum_required(VERSION 3.5)
cmake_minimum_required(VERSION 3.16)
project(unilabos_msgs)
# Default to C99
@@ -28,7 +28,11 @@ set(action_files
"action/HeatChill.action"
"action/HeatChillStart.action"
"action/HeatChillStop.action"
"action/AdjustPH.action"
"action/ResetHandling.action"
"action/Dry.action"
"action/Hydrogenate.action"
"action/Recrystallize.action"
"action/CleanVessel.action"
"action/Dissolve.action"
"action/FilterThrough.action"
@@ -37,9 +41,9 @@ set(action_files
"action/WashSolid.action"
"action/Filter.action"
"action/Add.action"
"action/AddSolid.action"
"action/Centrifuge.action"
"action/Crystallize.action"
"action/Dry.action"
"action/Purge.action"
"action/StartPurge.action"
"action/StartStir.action"

View File

@@ -1,14 +1,19 @@
# Goal - 添加试剂的目标参数
string vessel # 目标容器
string reagent # 试剂名称
float64 volume # 体积 (可选)
float64 mass # 质量 (可选)
string amount # 数量描述 (可选)
float64 time # 添加时间 (可选)
bool stir # 是否搅拌
float64 stir_speed # 搅拌速度 (可选)
bool viscous # 是否为粘性液体
string purpose # 添加目的 (可选)
string vessel # 目标容器(必需)
string reagent # 试剂名称(必需)
string volume # 体积(如 "2.7 mL",可选)
string mass # 质量(如 "19.3 g",可选)
string amount # 数量描述(可选)
string time # 添加时间(如 "1 h", "20 min",可选)
bool stir # 是否搅拌(可选)
float64 stir_speed # 搅拌速度 (RPM可选)
bool viscous # 是否为粘性液体(可选)
string purpose # 添加目的(可选)
string event # 事件标识(如 'A', 'B',可选)
string mol # 摩尔数(如 '0.28 mol', '16.2 mmol',可选)
string rate_spec # 速率规格(如 'portionwise', 'dropwise',可选)
string equiv # 当量(如 '1.1',可选)
string ratio # 比例(如 '1:1',可选)
---
# Result - 操作结果
bool success # 操作是否成功

View File

@@ -0,0 +1,15 @@
# Goal - 固体加样操作的目标参数
string vessel # 目标容器(必需)
string reagent # 试剂名称(必需)
string mass # 质量字符串(如 "2.9 g",可选)
string mol # 摩尔数字符串(如 "0.12 mol",可选)
string purpose # 添加目的(可选)
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info # 返回信息
---
# Feedback - 实时反馈
string current_status # 当前状态描述
float64 progress # 进度百分比 (0-100)

View File

@@ -0,0 +1,13 @@
# Request - 与您的 AdjustPHProtocol 类匹配
string vessel
float64 ph_value
string reagent
---
# Result - 标准结果格式
bool success
string message
string return_info
---
# Feedback - 标准反馈格式
string status
float64 progress

View File

@@ -1,14 +1,21 @@
string vessel # 装有要溶解物质的容器名称
string solvent # 用于溶解物质的溶剂名称
float64 volume # 溶剂的体积,可选参数
string amount # 要溶解物质的量,可选参数
float64 temp # 溶解时的温度,可选参数
float64 time # 溶解的时间,可选参数
float64 stir_speed # 搅拌速度,可选参数
# Goal - 溶解操作的目标参数
string vessel # 装有要溶解物质的容器名称(必需)
string solvent # 用于溶解物质的溶剂名称(可选)
string volume # 溶剂的体积(如 "10 mL",可选
string amount # 溶解物质的量描述(可选)
string temp # 溶解时的温度(如 "60 °C", "room temperature",可选
string time # 溶解的时间(如 "30 min", "1 h",可选
float64 stir_speed # 搅拌速度可选默认300 RPM
string mass # 物质质量(如 "2.9 g",可选)
string mol # 物质摩尔数(如 "0.12 mol",可选)
string reagent # 试剂名称(可选)
string event # 事件标识(如 'A', 'B',可选)
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
---
# Feedback - 实时反馈
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)

View File

@@ -1,17 +1,12 @@
# Goal - 干燥操作的目标参数
string vessel # 干燥容器
float64 time # 干燥时间 (可选,秒)
float64 pressure # 压力 (可选Pa)
float64 temp # 温度 (可选,摄氏度)
bool continue_heatchill # 是否继续加热冷却
# Request
string compound # 化合物
string vessel # 干燥容器
---
# Result - 操作结果
# Result
bool success # 操作是否成功
string message # 结果消息
string return_info
---
# Feedback - 实时反馈
float64 progress # 进度百分比 (0-100)
float64 current_temp # 当前温度
float64 current_pressure # 当前压力
string current_status # 当前状态描述
# Feedback
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)

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@@ -1,7 +1,6 @@
# Organic
# Organic Synthesis Station EvacuateAndRefill Action
string vessel
string gas
int32 repeats
---
string return_info
bool success

View File

@@ -1,9 +1,10 @@
# Organic
string vessel
float64 pressure
float64 temp
float64 time
float64 stir_speed
# Organic Synthesis Station Evaporate Action
string vessel # 目标容器
float64 pressure # 真空度
float64 temp # 温度
string time # 🔧 蒸发时间(支持带单位,如"3 min","180",默认秒)
float64 stir_speed # 旋转速度
string solvent # 溶剂名称
---
string return_info
bool success

View File

@@ -1,11 +1,11 @@
# Goal - 过滤操作的目标参数
string vessel # 过滤容器
string filtrate_vessel # 滤液容器 (可选)
bool stir # 是否搅拌
float64 stir_speed # 搅拌速度 (可选)
float64 temp # 温度 (可选,摄氏度)
bool continue_heatchill # 是否继续加热冷却
float64 volume # 过滤体积 (可选)
string vessel # 过滤容器(必需)
string filtrate_vessel # 滤液容器(可选)
bool stir # 是否搅拌默认false
float64 stir_speed # 搅拌速度默认0.0
float64 temp # 温度默认25.0
bool continue_heatchill # 是否继续加热冷却默认false
float64 volume # 过滤体积默认0.0
---
# Result - 操作结果
bool success # 操作是否成功

View File

@@ -1,12 +1,19 @@
# Organic
string vessel
float64 temp
float64 time
bool stir
float64 stir_speed
string purpose
# Goal - 加热冷却操作的目标参数
string vessel # 加热容器名称(必需)
float64 temp # 目标温度可选默认25.0
string time # 🔧 加热时间(支持带单位,如"5 min","300",默认秒)
string temp_spec # 温度规格(可选)
string time_spec # 时间规格(可选)
string pressure # 压力规格(可选,不做特殊处理)
string reflux_solvent # 回流溶剂名称(可选,不做特殊处理)
bool stir # 是否搅拌可选默认false
float64 stir_speed # 搅拌速度可选默认300.0
string purpose # 操作目的(可选)
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
bool success
---
string status
# Feedback - 实时反馈
string status # 当前状态描述

View File

@@ -0,0 +1,13 @@
# Request
string temp
string time
string vessel
---
# Result
bool success
string message
string return_info
---
# Feedback
string status
float64 progress

View File

@@ -9,6 +9,11 @@ string rinsing_solvent
float64 rinsing_volume
int32 rinsing_repeats
bool solid
float64 flowrate
float64 transfer_flowrate
string rate_spec
string event
string through
---
string return_info
bool success

View File

@@ -0,0 +1,15 @@
# Request
string ratio # 溶剂比例(如"1:1","3:7"
string solvent1 # 第一种溶剂
string solvent2 # 第二种溶剂
string vessel # 目标容器
string volume # 🔧 总体积(支持带单位,如"100 mL","50"默认mL
---
# Result
bool success
string message
string return_info
---
# Feedback
string status
float64 progress

View File

@@ -0,0 +1,11 @@
# Request
string solvent
---
# Result
bool success
string message
string return_info
---
# Feedback
string status
float64 progress

View File

@@ -1,10 +1,19 @@
string from_vessel # 源容器的名称,即样品起始所在的容器
string to_vessel # 目标容器的名称,分离后的样品要到达的容器
string column # 所使用的柱子的名称
# Goal - 柱层析操作的目标参数
string from_vessel # 源容器的名称,即样品起始所在的容器(必需)
string to_vessel # 目标容器的名称,分离后的样品要到达的容器(必需)
string column # 所使用的柱子的名称(必需)
string rf # Rf值可选
string pct1 # 第一种溶剂百分比(如 "40 %",可选)
string pct2 # 第二种溶剂百分比(如 "50 %",可选)
string solvent1 # 第一种溶剂名称(可选)
string solvent2 # 第二种溶剂名称(可选)
string ratio # 溶剂比例(如 "5:95",可选)
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
---
# Feedback - 实时反馈
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)

View File

@@ -1,22 +1,27 @@
# Organic
string purpose # 'wash' or 'extract'. 'wash' means that product phase will not be the added solvent phase, 'extract' means product phase will be the added solvent phase. If no solvent is added just use 'extract'.
string product_phase # 'top' or 'bottom'. Phase that product will be in.
string from_vessel #Contents of from_vessel are transferred to separation_vessel and separation is performed.
string separation_vessel # Vessel in which separation of phases will be carried out.
string to_vessel # Vessel to send product phase to.
string waste_phase_to_vessel # Optional. Vessel to send waste phase to.
string solvent # Optional. Solvent to add to separation vessel after contents of from_vessel has been transferred to create two phases.
float64 solvent_volume # Optional. Volume of solvent to add.
string through # Optional. Solid chemical to send product phase through on way to to_vessel, e.g. 'celite'.
int32 repeats # Optional. Number of separations to perform.
float64 stir_time # Optional. Time stir for after adding solvent, before separation of phases.
float64 stir_speed # Optional. Speed to stir at after adding solvent, before separation of phases.
float64 settling_time # Optional. Time
# Goal - 分离操作的目标参数
string vessel # 分离容器名称XDL参数必需
string purpose # 分离目的 ('wash', 'extract', 'separate',可选)
string product_phase # 产物相 ('top', 'bottom',可选)
string from_vessel # 源容器(可选)
string separation_vessel # 分离容器与vessel同义可选
string to_vessel # 目标容器(可选)
string waste_phase_to_vessel # 废相目标容器(可选)
string product_vessel # 产物收集容器XDL参数可选
string waste_vessel # 废液收集容器XDL参数可选
string solvent # 溶剂名称(可选)
string solvent_volume # 溶剂体积(如 "200 mL",可选)
string volume # 体积规格XDL参数如 "?",可选)
string through # 通过材料(如 'celite',可选)
int32 repeats # 重复次数可选默认1
float64 stir_time # 搅拌时间可选默认30秒
float64 stir_speed # 搅拌速度可选默认300 RPM
float64 settling_time # 沉降时间可选默认300秒
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
bool success
---
string status
string current_device
builtin_interfaces/Duration time_spent
builtin_interfaces/Duration time_remaining
# Feedback - 实时反馈
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)

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# Organic
float64 stir_time
float64 stir_speed
float64 settling_time
# Goal - 搅拌操作的目标参数
string vessel # 搅拌容器名称(必需)
string time # 🔧 搅拌时间(如 "0.5 h", "30 min", "300",默认秒)
string event # 事件标识(如 "A", "B"
string time_spec # 时间规格(如 "several minutes"
float64 stir_time # 解析后的搅拌时间(秒)
float64 stir_speed # 搅拌速度默认200.0
string settling_time # 🔧 沉降时间(支持带单位,默认秒)
---
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
bool success
---
string status
# Feedback - 实时反馈
string status # 当前状态描述

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string vessel # 装有固体物质的容器名称
string solvent # 用于清洗固体的溶剂名称
float64 volume # 清洗溶剂的体积
string filtrate_vessel # 滤液要收集到的容器名称,可选参数
float64 temp # 清洗时的温度,可选参数
bool stir # 是否在清洗过程中搅拌,默认为 False
float64 stir_speed # 搅拌速度,可选参数
float64 time # 清洗的时间,可选参数
int32 repeats # 清洗操作的重复次数,默认为 1
# Goal - 固体清洗操作的目标参数
string vessel # 装有固体的容器名称(必需)
string solvent # 清洗溶剂名称(必需)
string volume # 🔧 体积(支持数字和带单位的字符串,如"100 mL","?"
string filtrate_vessel # 滤液收集容器(可选,默认""
float64 temp # 清洗温度可选默认25.0
bool stir # 是否搅拌可选默认false
float64 stir_speed # 搅拌速度可选默认0.0
string time # 🔧 清洗时间(支持带单位,如"5 min","300 s",默认秒)
int32 repeats # 重复次数与repeats_spec二选一
string volume_spec # 体积规格优先级高于volume
string repeats_spec # 重复次数规格优先级高于repeats
string mass # 固体质量描述(可选)
string event # 事件标识符(可选)
---
bool success # 操作是否成功
string message # 结果消息
# Result - 操作结果
bool success # 操作是否成功
string message # 结果消息
string return_info
---
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)
# Feedback - 实时反馈
string status # 当前状态描述
float64 progress # 进度百分比 (0-100)