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Author SHA1 Message Date
Xuwznln
176de521b4 v0.10.17 2026-01-27 19:41:12 +08:00
dependabot[bot]
38c5c267af Fix Conda Build
ci(deps): bump actions/checkout from 4 to 6 (#223)

Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

ci(deps): bump actions/upload-pages-artifact from 3 to 4 (#225)

Bumps [actions/upload-pages-artifact](https://github.com/actions/upload-pages-artifact) from 3 to 4.
- [Release notes](https://github.com/actions/upload-pages-artifact/releases)
- [Commits](https://github.com/actions/upload-pages-artifact/compare/v3...v4)

---
updated-dependencies:
- dependency-name: actions/upload-pages-artifact
  dependency-version: '4'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

ci(deps): bump actions/upload-artifact from 4 to 6 (#224)

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 4 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

ci(deps): bump actions/configure-pages from 4 to 5 (#222)

Bumps [actions/configure-pages](https://github.com/actions/configure-pages) from 4 to 5.
- [Release notes](https://github.com/actions/configure-pages/releases)
- [Commits](https://github.com/actions/configure-pages/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/configure-pages
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-01-27 19:39:42 +08:00
Xuwznln
2a5ddd611d Upgrade to py 3.11.14; ROS2 Humble 0.7; unilabos 0.10.16
Workbench example, adjust log level, and ci check (#220)

* TestLatency Return Value Example & gitignore update

* Adjust log level & Add workbench virtual example & Add not action decorator & Add check_mode &

* Add CI Check

Fix/workstation yb revision (#217)

* Revert log change & update registry

* Revert opcua client & move electrolyte node

Workstation yb merge dev ready 260113 (#216)

* feat(bioyond): 添加计算实验设计功能,支持化合物配比和滴定比例参数

* feat(bioyond): 添加测量小瓶功能,支持基本参数配置

* feat(bioyond): 添加测量小瓶配置,支持新设备参数

* feat(bioyond): 更新仓库布局和尺寸,支持竖向排列的测量小瓶和试剂存放堆栈

* feat(bioyond): 优化任务创建流程,确保无论成功与否都清理任务队列以避免重复累积

* feat(bioyond): 添加设置反应器温度功能,支持温度范围和异常处理

* feat(bioyond): 调整反应器位置配置,统一坐标格式

* feat(bioyond): 添加调度器启动功能,支持任务队列执行并处理异常

* feat(bioyond): 优化调度器启动功能,添加异常处理并更新相关配置

* feat(opcua): 增强节点ID解析兼容性和数据类型处理

改进节点ID解析逻辑以支持多种格式,包括字符串和数字标识符
添加数据类型转换处理,确保写入值时类型匹配
优化错误提示信息,便于调试节点连接问题

* feat(registry): 新增后处理站的设备配置文件

添加后处理站的YAML配置文件,包含动作映射、状态类型和设备描述

* 添加调度器启动功能,合并物料参数配置,优化物料参数处理逻辑

* 添加从 Bioyond 系统自动同步工作流序列的功能,并更新相关配置

* fix:兼容 BioyondReactionStation 中 workflow_sequence 被重写为 property

* fix:同步工作流序列

* feat: remove commented workflow synchronization from `reaction_station.py`.

* 添加时间约束功能及相关配置

* fix:自动更新物料缓存功能,添加物料时更新缓存并在删除时移除缓存项

* fix:在添加物料时处理字符串和字典返回值,确保正确更新缓存

* fix:更新奔曜错误处理报送为物料变更报送,调整日志记录和响应消息

* feat:添加实验报告简化功能,去除冗余信息并保留关键信息

* feat: 添加任务状态事件发布功能,监控并报告任务运行、超时、完成和错误状态

* fix: 修复添加物料时数据格式错误

* Refactor bioyond_dispensing_station and reaction_station_bioyond YAML configurations

- Removed redundant action value mappings from bioyond_dispensing_station.
- Updated goal properties in bioyond_dispensing_station to use enums for target_stack and other parameters.
- Changed data types for end_point and start_point in reaction_station_bioyond to use string enums (Start, End).
- Simplified descriptions and updated measurement units from μL to mL where applicable.
- Removed unused commands from reaction_station_bioyond to streamline the configuration.

* fix:Change the material unit from μL to mL

* fix:refresh_material_cache

* feat: 动态获取工作流步骤ID,优化工作流配置

* feat: 添加清空服务端所有非核心工作流功能

* fix:修复Bottle类的序列化和反序列化方法

* feat:增强材料缓存更新逻辑,支持处理返回数据中的详细信息

* Add debug log

* feat(workstation): update bioyond config migration and coin cell material search logic

- Migrate bioyond_cell config to JSON structure and remove global variable dependencies
- Implement material search confirmation dialog auto-handling
- Add documentation: 20260113_物料搜寻确认弹窗自动处理功能.md and 20260113_配置迁移修改总结.md

* Refactor module paths for Bioyond devices in YAML configuration files

- Updated the module path for BioyondDispensingStation in bioyond_dispensing_station.yaml to reflect the new directory structure.
- Updated the module path for BioyondReactionStation and BioyondReactor in reaction_station_bioyond.yaml to align with the revised organization of the codebase.

* fix: WareHouse 的不可哈希类型错误,优化父节点去重逻辑

* refactor: Move config from module to instance initialization

* fix: 修正 reaction_station 目录名拼写错误

* feat: Integrate material search logic and cleanup deprecated files

- Update coin_cell_assembly.py with material search dialog handling
- Update YB_warehouses.py with latest warehouse configurations
- Remove outdated documentation and test data files

* Refactor: Use instance attributes for action names and workflow step IDs

* refactor: Split tipbox storage into left and right warehouses

* refactor: Merge tipbox storage left and right into single warehouse

---------

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
Co-authored-by: Andy6M <xieqiming1132@qq.com>

fix: WareHouse 的不可哈希类型错误,优化父节点去重逻辑

fix parent_uuid fetch when bind_parent_id == node_name

物料更新也是用父节点进行报送

Add None conversion for tube rack etc.

Add set_liquid example.

Add create_resource and test_resource example.

Add restart.
Temp allow action message.

Add no_update_feedback option.

Create session_id by edge.

bump version to 0.10.15

temp cancel update req
2026-01-27 15:21:55 +08:00
Xuwznln
8580b84167 Fix update with different spot and same parent 2026-01-08 03:46:44 +08:00
Xuwznln
3f80349d7d Force update resource when adding new resource / transfer to another resource
location not passed to ItemizedCarrier when assign child resource

Fix size not pass through.
2026-01-08 03:08:01 +08:00
Xuwznln
024156848e Fix build on macos-intel 2026-01-07 21:11:33 +08:00
Xuwznln
8066c200b9 Update README.md
Modify resource_tracker file module path.
2026-01-07 20:54:20 +08:00
Xuwznln
266366cc25 Bump version to 0.10.4 2026-01-07 20:46:23 +08:00
Xuwznln
121c3985cc Update LICENSE 2026-01-07 20:46:23 +08:00
Xuwznln
6ca5c72fc6 Fix drag materials.
Fix and tested new create_resource.

Update create_resource to resource tree mode.
2026-01-07 20:46:23 +08:00
Xianwei Qi
bc8c49ddda test_transfer_liquid 2026-01-07 20:45:41 +08:00
Xuwznln
28f93737ac Close #208. Fix mock devices. 2025-12-28 23:22:50 +08:00
ZiWei
5dc81ec9be bump version to 0.10.3
update registry

do not modify axis globally

Prcix9320 (#207)

* 0.10.7 Update (#101)

* Cleanup registry to be easy-understanding (#76)

* delete deprecated mock devices

* rename categories

* combine chromatographic devices

* rename rviz simulation nodes

* organic virtual devices

* parse vessel_id

* run registry completion before merge

---------

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

* fix: workstation handlers and vessel_id parsing

* fix: working dir error when input config path
feat: report publish topic when error

* modify default discovery_interval to 15s

* feat: add trace log level

* feat: 添加ChinWe设备控制类,支持串口通信和电机控制功能 (#79)

* fix: drop_tips not using auto resource select

* fix: discard_tips error

* fix: discard_tips

* fix: prcxi_res

* add: prcxi res
fix: startup slow

* feat: workstation example

* fix pumps and liquid_handler handle

* feat: 优化protocol node节点运行日志

* fix all protocol_compilers and remove deprecated devices

* feat: 新增use_remote_resource参数

* fix and remove redundant info

* bugfixes on organic protocols

* fix filter protocol

* fix protocol node

* 临时兼容错误的driver写法

* fix: prcxi import error

* use call_async in all service to avoid deadlock

* fix: figure_resource

* Update recipe.yaml

* add workstation template and battery example

* feat: add sk & ak

* update workstation base

* Create workstation_architecture.md

* refactor: workstation_base 重构为仅含业务逻辑,通信和子设备管理交给 ProtocolNode

* refactor: ProtocolNode→WorkstationNode

* Add:msgs.action (#83)

* update: Workstation dev 将版本号从 0.10.3 更新为 0.10.4 (#84)

* Add:msgs.action

* update: 将版本号从 0.10.3 更新为 0.10.4

* simplify resource system

* uncompleted refactor

* example for use WorkstationBase

* feat: websocket

* feat: websocket test

* feat: workstation example

* feat: action status

* fix: station自己的方法注册错误

* fix: 还原protocol node处理方法

* fix: build

* fix: missing job_id key

* ws test version 1

* ws test version 2

* ws protocol

* 增加物料关系上传日志

* 增加物料关系上传日志

* 修正物料关系上传

* 修复工站的tracker实例追踪失效问题

* 增加handle检测,增加material edge关系上传

* 修复event loop错误

* 修复edge上报错误

* 修复async错误

* 更新schema的title字段

* 主机节点信息等支持自动刷新

* 注册表编辑器

* 修复status密集发送时,消息出错

* 增加addr参数

* fix: addr param

* fix: addr param

* 取消labid 和 强制config输入

* Add action definitions for LiquidHandlerSetGroup and LiquidHandlerTransferGroup

- Created LiquidHandlerSetGroup.action with fields for group name, wells, and volumes.
- Created LiquidHandlerTransferGroup.action with fields for source and target group names and unit volume.
- Both actions include response fields for return information and success status.

* Add LiquidHandlerSetGroup and LiquidHandlerTransferGroup actions to CMakeLists

* Add set_group and transfer_group methods to PRCXI9300Handler and update liquid_handler.yaml

* result_info改为字典类型

* 新增uat的地址替换

* runze multiple pump support

(cherry picked from commit 49354fcf39)

* remove runze multiple software obtainer

(cherry picked from commit 8bcc92a394)

* support multiple backbone

(cherry picked from commit 4771ff2347)

* Update runze pump format

* Correct runze multiple backbone

* Update runze_multiple_backbone

* Correct runze pump multiple receive method.

* Correct runze pump multiple receive method.

* 对于PRCXI9320的transfer_group,一对多和多对多

* 移除MQTT,更新launch文档,提供注册表示例文件,更新到0.10.5

* fix import error

* fix dupe upload registry

* refactor ws client

* add server timeout

* Fix: run-column with correct vessel id (#86)

* fix run_column

* Update run_column_protocol.py

(cherry picked from commit e5aa4d940a)

* resource_update use resource_add

* 新增版位推荐功能

* 重新规定了版位推荐的入参

* update registry with nested obj

* fix protocol node log_message, added create_resource return value

* fix protocol node log_message, added create_resource return value

* try fix add protocol

* fix resource_add

* 修复移液站错误的aspirate注册表

* Feature/xprbalance-zhida (#80)

* feat(devices): add Zhida GC/MS pretreatment automation workstation

* feat(devices): add mettler_toledo xpr balance

* balance

* 重新补全zhida注册表

* PRCXI9320 json

* PRCXI9320 json

* PRCXI9320 json

* fix resource download

* remove class for resource

* bump version to 0.10.6

* 更新所有注册表

* 修复protocolnode的兼容性

* 修复protocolnode的兼容性

* Update install md

* Add Defaultlayout

* 更新物料接口

* fix dict to tree/nested-dict converter

* coin_cell_station draft

* refactor: rename "station_resource" to "deck"

* add standardized BIOYOND resources: bottle_carrier, bottle

* refactor and add BIOYOND resources tests

* add BIOYOND deck assignment and pass all tests

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* feat: 将新威电池测试系统驱动与配置文件并入 workstation_dev_YB2 (#92)

* feat: 新威电池测试系统驱动与注册文件

* feat: bring neware driver & battery.json into workstation_dev_YB2

* add bioyond studio draft

* bioyond station with communication init and resource sync

* fix bioyond station and registry

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* frontend_docs

* create/update resources with POST/PUT for big amount/ small amount data

* create/update resources with POST/PUT for big amount/ small amount data

* refactor: add itemized_carrier instead of carrier consists of ResourceHolder

* create warehouse by factory func

* update bioyond launch json

* add child_size for itemized_carrier

* fix bioyond resource io

* Workstation templates: Resources and its CRUD, and workstation tasks (#95)

* coin_cell_station draft

* refactor: rename "station_resource" to "deck"

* add standardized BIOYOND resources: bottle_carrier, bottle

* refactor and add BIOYOND resources tests

* add BIOYOND deck assignment and pass all tests

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* feat: 将新威电池测试系统驱动与配置文件并入 workstation_dev_YB2 (#92)

* feat: 新威电池测试系统驱动与注册文件

* feat: bring neware driver & battery.json into workstation_dev_YB2

* add bioyond studio draft

* bioyond station with communication init and resource sync

* fix bioyond station and registry

* create/update resources with POST/PUT for big amount/ small amount data

* refactor: add itemized_carrier instead of carrier consists of ResourceHolder

* create warehouse by factory func

* update bioyond launch json

* add child_size for itemized_carrier

* fix bioyond resource io

---------

Co-authored-by: h840473807 <47357934+h840473807@users.noreply.github.com>
Co-authored-by: Xie Qiming <97236197+Andy6M@users.noreply.github.com>

* 更新物料接口

* Workstation dev yb2 (#100)

* Refactor and extend reaction station action messages

* Refactor dispensing station tasks to enhance parameter clarity and add batch processing capabilities

- Updated `create_90_10_vial_feeding_task` to include detailed parameters for 90%/10% vial feeding, improving clarity and usability.
- Introduced `create_batch_90_10_vial_feeding_task` for batch processing of 90%/10% vial feeding tasks with JSON formatted input.
- Added `create_batch_diamine_solution_task` for batch preparation of diamine solution, also utilizing JSON formatted input.
- Refined `create_diamine_solution_task` to include additional parameters for better task configuration.
- Enhanced schema descriptions and default values for improved user guidance.

* 修复to_plr_resources

* add update remove

* 支持选择器注册表自动生成
支持转运物料

* 修复资源添加

* 修复transfer_resource_to_another生成

* 更新transfer_resource_to_another参数,支持spot入参

* 新增test_resource动作

* fix host_node error

* fix host_node test_resource error

* fix host_node test_resource error

* 过滤本地动作

* 移动内部action以兼容host node

* 修复同步任务报错不显示的bug

* feat: 允许返回非本节点物料,后面可以通过decoration进行区分,就不进行warning了

* update todo

* modify bioyond/plr converter, bioyond resource registry, and tests

* pass the tests

* update todo

* add conda-pack-build.yml

* add auto install script for conda-pack-build.yml

(cherry picked from commit 172599adcf)

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* Add version in __init__.py
Update conda-pack-build.yml
Add create_zip_archive.py

* Update conda-pack-build.yml

* Update conda-pack-build.yml (with mamba)

* Update conda-pack-build.yml

* Fix FileNotFoundError

* Try fix 'charmap' codec can't encode characters in position 16-23: character maps to <undefined>

* Fix unilabos msgs search error

* Fix environment_check.py

* Update recipe.yaml

* Update registry. Update uuid loop figure method. Update install docs.

* Fix nested conda pack

* Fix one-key installation path error

* Bump version to 0.10.7

* Workshop bj (#99)

* Add LaiYu Liquid device integration and tests

Introduce LaiYu Liquid device implementation, including backend, controllers, drivers, configuration, and resource files. Add hardware connection, tip pickup, and simplified test scripts, as well as experiment and registry configuration for LaiYu Liquid. Documentation and .gitignore for the device are also included.

* feat(LaiYu_Liquid): 重构设备模块结构并添加硬件文档

refactor: 重新组织LaiYu_Liquid模块目录结构
docs: 添加SOPA移液器和步进电机控制指令文档
fix: 修正设备配置中的最大体积默认值
test: 新增工作台配置测试用例
chore: 删除过时的测试脚本和配置文件

* add

* 重构: 将 LaiYu_Liquid.py 重命名为 laiyu_liquid_main.py 并更新所有导入引用

- 使用 git mv 将 LaiYu_Liquid.py 重命名为 laiyu_liquid_main.py
- 更新所有相关文件中的导入引用
- 保持代码功能不变,仅改善命名一致性
- 测试确认所有导入正常工作

* 修复: 在 core/__init__.py 中添加 LaiYuLiquidBackend 导出

- 添加 LaiYuLiquidBackend 到导入列表
- 添加 LaiYuLiquidBackend 到 __all__ 导出列表
- 确保所有主要类都可以正确导入

* 修复大小写文件夹名字

* 电池装配工站二次开发教程(带目录)上传至dev (#94)

* 电池装配工站二次开发教程

* Update intro.md

* 物料教程

* 更新物料教程,json格式注释

* Update prcxi driver & fix transfer_liquid mix_times (#90)

* Update prcxi driver & fix transfer_liquid mix_times

* fix: correct mix_times type

* Update liquid_handler registry

* test: prcxi.py

* Update registry from pr

* fix ony-key script not exist

* clean files

---------

Co-authored-by: Junhan Chang <changjh@dp.tech>
Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: Xie Qiming <97236197+Andy6M@users.noreply.github.com>
Co-authored-by: h840473807 <47357934+h840473807@users.noreply.github.com>
Co-authored-by: LccLink <1951855008@qq.com>
Co-authored-by: lixinyu1011 <61094742+lixinyu1011@users.noreply.github.com>
Co-authored-by: shiyubo0410 <shiyubo@dp.tech>

* fix startup env check.
add auto install during one-key installation

* Try fix one-key build on linux

* Complete all one key installation

* fix: rename schema field to resource_schema with serialization and validation aliases (#104)

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>

* Fix one-key installation build

Install conda-pack before pack command

Add conda-pack to base when building one-key installer

Fix param error when using mamba run

Try fix one-key build on linux

* Fix conda pack on windows

* add plr_to_bioyond, and refactor bioyond stations

* modify default config

* Fix one-key installation build for windows

* Fix workstation startup
Update registry

* Fix/resource UUID and doc fix (#109)

* Fix ResourceTreeSet load error

* Raise error when using unsupported type to create ResourceTreeSet

* Fix children key error

* Fix children key error

* Fix workstation resource not tracking

* Fix workstation deck & children resource dupe

* Fix workstation deck & children resource dupe

* Fix multiple resource error

* Fix resource tree update

* Fix resource tree update

* Force confirm uuid

* Tip more error log

* Refactor Bioyond workstation and experiment workflow (#105)

Refactored the Bioyond workstation classes to improve parameter handling and workflow management. Updated experiment.py to use BioyondReactionStation with deck and material mappings, and enhanced workflow step parameter mapping and execution logic. Adjusted JSON experiment configs, improved workflow sequence handling, and added UUID assignment to PLR materials. Removed unused station_config and material cache logic, and added detailed docstrings and debug output for workflow methods.

* Fix resource get.
Fix resource parent not found.
Mapping uuid for all resources.

* mount parent uuid

* Add logging configuration based on BasicConfig in main function

* fix workstation node error

* fix workstation node error

* Update boot example

* temp fix for resource get

* temp fix for resource get

* provide error info when cant find plr type

* pack repo info

* fix to plr type error

* fix to plr type error

* Update regular container method

* support no size init

* fix comprehensive_station.json

* fix comprehensive_station.json

* fix type conversion

* fix state loading for regular container

* Update deploy-docs.yml

* Update deploy-docs.yml

---------

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>

* Close #107
Update doc url.

* Fix/update resource (#112)

* cancel upload_registry

* Refactor Bioyond workstation and experiment workflow -fix (#111)

* refactor(bioyond_studio): 优化材料缓存加载和参数验证逻辑

改进材料缓存加载逻辑以支持多种材料类型和详细材料处理
更新工作流参数验证中的字段名从key/value改为Key/DisplayValue
移除未使用的merge_workflow_with_parameters方法
添加get_station_info方法获取工作站基础信息
清理实验文件中的注释代码和更新导入路径

* fix: 修复资源移除时的父资源检查问题

在BaseROS2DeviceNode中,移除资源前添加对父资源是否为None的检查,避免空指针异常
同时更新Bottle和BottleCarrier类以支持**kwargs参数
修正测试文件中Liquid_feeding_beaker的大小写拼写错误

* correct return message

---------

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>

* fix resource_get in action

* fix(reaction_station): 清空工作流序列和参数避免重复执行 (#113)

在创建任务后清空工作流序列和参数,防止下次执行时累积重复

* Update create_resource device_id

* Update ResourceTracker

add more enumeration in POSE

fix converter in resource_tracker

* Update graphio together with workstation design.

fix(reaction_station): 为步骤参数添加Value字段传个BY后端

fix(bioyond/warehouses): 修正仓库尺寸和物品排列参数

调整仓库的x轴和z轴物品数量以及物品尺寸参数,使其符合4x1x4的规格要求

fix warehouse serialize/deserialize

fix bioyond converter

fix itemized_carrier.unassign_child_resource

allow not-loaded MSG in registry

add layout serializer & converter

warehouseuse A1-D4; add warehouse layout

fix(graphio): 修正bioyond到plr资源转换中的坐标计算错误

Fix resource assignment and type mapping issues

Corrects resource assignment in ItemizedCarrier by using the correct spot key from _ordering. Updates graphio to use 'typeName' instead of 'name' for type mapping in resource_bioyond_to_plr. Renames DummyWorkstation to BioyondWorkstation in workstation_http_service for clarity.

* Update workstation & bioyond example

Refine descriptions in Bioyond reaction station YAML

Updated and clarified field and operation descriptions in the reaction_station_bioyond.yaml file for improved accuracy and consistency. Changes include more precise terminology, clearer parameter explanations, and standardized formatting for operation schemas.

refactor(workstation): 更新反应站参数描述并添加分液站配置文件

修正反应站方法参数描述,使其更准确清晰
添加bioyond_dispensing_station.yaml配置文件

add create_workflow script and test

add invisible_slots to carriers

fix(warehouses): 修正bioyond_warehouse_1x4x4仓库的尺寸参数

调整仓库的num_items_x和num_items_z值以匹配实际布局,并更新物品尺寸参数

save resource get data. allow empty value for layout and cross_section_type

More decks&plates support for bioyond (#115)

refactor(registry): 重构反应站设备配置,简化并更新操作命令

移除旧的自动操作命令,新增针对具体化学操作的命令配置
更新模块路径和配置结构,优化参数定义和描述

fix(dispensing_station): 修正物料信息查询方法调用

将直接调用material_id_query改为通过hardware_interface调用,以符合接口设计规范

* PRCXI Update

修改prcxi连线

prcxi样例图

Create example_prcxi.json

* Update resource extra & uuid.

use ordering to convert identifier to idx

convert identifier to site idx

correct extra key

update extra before transfer

fix multiple instance error

add resource_tree_transfer func

fox itemrized carrier assign child resource

support internal device material transfer

remove extra key

use same callback group

support material extra

support material extra
support update_resource_site in extra

* Update workstation.

modify workstation_architecture docs

bioyond_HR (#133)

* feat: Enhance Bioyond synchronization and resource management

- Implemented synchronization for all material types (consumables, samples, reagents) from Bioyond, logging detailed information for each type.
- Improved error handling and logging during synchronization processes.
- Added functionality to save Bioyond material IDs in UniLab resources for future updates.
- Enhanced the `sync_to_external` method to handle material movements correctly, including querying and creating materials in Bioyond.
- Updated warehouse configurations to support new storage types and improved layout for better resource management.
- Introduced new resource types such as reactors and tip boxes, with detailed specifications.
- Modified warehouse factory to support column offsets for naming conventions (e.g., A05-D08).
- Improved resource tracking by merging extra attributes instead of overwriting them.
- Added a new method for updating resources in Bioyond, ensuring better synchronization of resource changes.

* feat: 添加TipBox和Reactor的配置到bottles.yaml

* fix: 修复液体投料方法中的volume参数处理逻辑

修复solid_feeding_vials方法中的volume参数处理逻辑,优化solvents参数的使用条件

更新液体投料方法,支持通过溶剂信息自动计算体积,添加solvents参数并更新文档描述

Add batch creation methods for vial and solution tasks

添加批量创建90%10%小瓶投料任务和二胺溶液配置任务的功能,更新相关参数和默认值

* 封膜仪、撕膜仪、耗材站接口

* 添加Raman和xrd相关代码

* Resource update & asyncio fix

correct bioyond config

prcxi example

fix append_resource

fix regularcontainer

fix cancel error

fix resource_get param

fix json dumps

support name change during materials change

enable slave mode

change uuid logger to trace level

correct remove_resource stats

disable slave connect websocket

adjust with_children param

modify devices to use correct executor (sleep, create_task)

support sleep and create_task in node

fix run async execution error

* bump version to 0.10.9

update registry

* PRCXI Reset Error Correction (#166)

* change 9320 desk row number to 4

* Updated 9320 host address

* Updated 9320 host address

* Add **kwargs in classes: PRCXI9300Deck and PRCXI9300Container

* Removed all sample_id in prcxi_9320.json to avoid KeyError

* 9320 machine testing settings

* Typo

* Rewrite setup logic to clear error code

* 初始化 step_mode 属性

* 1114物料手册定义教程byxinyu (#165)

* 宜宾奔耀工站deck前端by_Xinyu

* 构建物料教程byxinyu

* 1114物料手册定义教程

* 3d sim (#97)

* 修改lh的json启动

* 修改lh的json启动

* 修改backend,做成sim的通用backend

* 修改yaml的地址,3D模型适配网页生产环境

* 添加laiyu硬件连接

* 修改移液枪的状态判断方法,

修改移液枪的状态判断方法,
添加三轴的表定点与零点之间的转换
添加三轴真实移动的backend

* 修改laiyu移液站

简化移动方法,
取消软件限制位置,
修改当值使用Z轴时也需要重新复位Z轴的问题

* 更新lh以及laiyu workshop

1,现在可以直接通过修改backend,适配其他的移液站,主类依旧使用LiquidHandler,不用重新编写

2,修改枪头判断标准,使用枪头自身判断而不是类的判断,

3,将归零参数用毫米计算,方便手动调整,

4,修改归零方式,上电使用机械归零,确定机械零点,手动归零设置工作区域零点方便计算,二者互不干涉

* 修改枪头动作

* 修改虚拟仿真方法

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: Junhan Chang <changjh@dp.tech>

* 标准化opcua设备接入unilab (#78)

* 初始提交,只保留工作区当前状态

* remove redundant arm_slider meshes

---------

Co-authored-by: Junhan Chang <changjh@dp.tech>

* add new laiyu liquid driver, yaml and json files (#164)

* HR物料同步,前端展示位置修复 (#135)

* 更新Bioyond工作站配置,添加新的物料类型映射和载架定义,优化物料查询逻辑

* 添加Bioyond实验配置文件,定义物料类型映射和设备配置

* 更新bioyond_warehouse_reagent_stack方法,修正试剂堆栈尺寸和布局描述

* 更新Bioyond实验配置,修正物料类型映射,优化设备配置

* 更新Bioyond资源同步逻辑,优化物料入库流程,增强错误处理和日志记录

* 更新Bioyond资源,添加配液站和反应站专用载架,优化仓库工厂函数的排序方式

* 更新Bioyond资源,添加配液站和反应站相关载架,优化试剂瓶和样品瓶配置

* 更新Bioyond实验配置,修正试剂瓶载架ID,确保与设备匹配

* 更新Bioyond资源,移除反应站单烧杯载架,添加反应站单烧瓶载架分类

* Refactor Bioyond resource synchronization and update bottle carrier definitions

- Removed traceback printing in error handling for Bioyond synchronization.
- Enhanced logging for existing Bioyond material ID usage during synchronization.
- Added new bottle carrier definitions for single flask and updated existing ones.
- Refactored dispensing station and reaction station bottle definitions for clarity and consistency.
- Improved resource mapping and error handling in graphio for Bioyond resource conversion.
- Introduced layout parameter in warehouse factory for better warehouse configuration.

* 更新Bioyond仓库工厂,添加排序方式支持,优化坐标计算逻辑

* 更新Bioyond载架和甲板配置,调整样品板尺寸和仓库坐标

* 更新Bioyond资源同步,增强占用位置日志信息,修正坐标转换逻辑

* 更新Bioyond反应站和分配站配置,调整材料类型映射和ID,移除不必要的项

* support name change during materials change

* fix json dumps

* correct tip

* 优化调度器API路径,更新相关方法描述

* 更新 BIOYOND 载架相关文档,调整 API 以支持自带试剂瓶的载架类型,修复资源获取时的子物料处理逻辑

* 实现资源删除时的同步处理,优化出库操作逻辑

* 修复 ItemizedCarrier 中的可见性逻辑

* 保存 Bioyond 原始信息到 unilabos_extra,以便出库时查询

* 根据 resource.capacity 判断是试剂瓶(载架)还是多瓶载架,走不同的奔曜转换

* Fix bioyond bottle_carriers ordering

* 优化 Bioyond 物料同步逻辑,增强坐标解析和位置更新处理

* disable slave connect websocket

* correct remove_resource stats

* change uuid logger to trace level

* enable slave mode

* refactor(bioyond): 统一资源命名并优化物料同步逻辑

- 将DispensingStation和ReactionStation资源统一为PolymerStation命名
- 优化物料同步逻辑,支持耗材类型(typeMode=0)的查询
- 添加物料默认参数配置功能
- 调整仓库坐标布局
- 清理废弃资源定义

* feat(warehouses): 为仓库函数添加col_offset和layout参数

* refactor: 更新实验配置中的物料类型映射命名

将DispensingStation和ReactionStation的物料类型映射统一更名为PolymerStation,保持命名一致性

* fix: 更新实验配置中的载体名称从6VialCarrier到6StockCarrier

* feat(bioyond): 实现物料创建与入库分离逻辑

将物料同步流程拆分为两个独立阶段:transfer阶段只创建物料,add阶段执行入库
简化状态检查接口,仅返回连接状态

* fix(reaction_station): 修正液体进料烧杯体积单位并增强返回结果

将液体进料烧杯的体积单位从μL改为g以匹配实际使用场景
在返回结果中添加merged_workflow和order_params字段,提供更完整的工作流信息

* feat(dispensing_station): 在任务创建返回结果中添加order_params信息

在create_order方法返回结果中增加order_params字段,以便调用方获取完整的任务参数

* fix(dispensing_station): 修改90%物料分配逻辑从分成3份改为直接使用

原逻辑将主称固体平均分成3份作为90%物料,现改为直接使用main_portion

* feat(bioyond): 添加任务编码和任务ID的输出,支持批量任务创建后的状态监控

* refactor(registry): 简化设备配置中的任务结果处理逻辑

将多个单独的任务编码和ID字段合并为统一的return_info字段
更新相关描述以反映新的数据结构

* feat(工作站): 添加HTTP报送服务和任务完成状态跟踪

- 在graphio.py中添加API必需字段
- 实现工作站HTTP服务启动和停止逻辑
- 添加任务完成状态跟踪字典和等待方法
- 重写任务完成报送处理方法记录状态
- 支持批量任务完成等待和报告获取

* refactor(dispensing_station): 移除wait_for_order_completion_and_get_report功能

该功能已被wait_for_multiple_orders_and_get_reports替代,简化代码结构

* fix: 更新任务报告API错误

* fix(workstation_http_service): 修复状态查询中device_id获取逻辑

处理状态查询时安全获取device_id,避免因属性不存在导致的异常

* fix(bioyond_studio): 改进物料入库失败时的错误处理和日志记录

在物料入库API调用失败时,添加更详细的错误信息打印
同时修正station.py中对空响应和失败情况的判断逻辑

* refactor(bioyond): 优化瓶架载体的分配逻辑和注释说明

重构瓶架载体的分配逻辑,使用嵌套循环替代硬编码索引分配
添加更详细的坐标映射说明,明确PLR与Bioyond坐标的对应关系

* fix(bioyond_rpc): 修复物料入库成功时无data字段返回空的问题

当API返回成功但无data字段时,返回包含success标识的字典而非空字典

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@dp.tech>

* nmr

* Update devices

* bump version to 0.10.10

* Update repo files.

* Add get_resource_with_dir & get_resource method

* fix camera & workstation & warehouse & reaction station driver

* update docs, test examples
fix liquid_handler init bug

* bump version to 0.10.11

* Add startup_json_path, disable_browser, port config

* Update oss config

* feat(bioyond_studio): 添加项目API接口支持及优化物料管理功能

添加通用项目API接口方法(_post_project_api, _delete_project_api)用于与LIMS系统交互
实现compute_experiment_design方法用于实验设计计算
新增brief_step_parameters等订单相关接口方法
优化物料转移逻辑,增加异步任务处理
扩展BioyondV1RPC类,添加批量物料操作、订单状态管理等功能

* feat(bioyond): 添加测量小瓶仓库和更新仓库工厂函数参数

* Support unilabos_samples key

* add session_id and normal_exit

* Add result schema and add TypedDict conversion.

* Fix port error

* Add backend api and update doc

* Add get_regular_container func

* Add get_regular_container func

* Transfer_liquid (#176)

* change 9320 desk row number to 4

* Updated 9320 host address

* Updated 9320 host address

* Add **kwargs in classes: PRCXI9300Deck and PRCXI9300Container

* Removed all sample_id in prcxi_9320.json to avoid KeyError

* 9320 machine testing settings

* Typo

* Typo in base_device_node.py

* Enhance liquid handling functionality by adding support for multiple transfer modes (one-to-many, one-to-one, many-to-one) and improving parameter validation. Default channel usage is set when not specified. Adjusted mixing logic to ensure it only occurs when valid conditions are met. Updated documentation for clarity.

* Auto dump logs, fix workstation input schema

* Fix startup with remote resource error

Resource dict fully change to "pose" key

Update oss link

Reduce pylabrobot conversion warning & force enable log dump.

更新 logo 图片

* signal when host node is ready

* fix ros2 future

print all logs to file
fix resource dict dump error

* update version to 0.10.12

* 修改sample_uuid的返回值

* 修改pose标签设定机制

* 添加 aspiate函数返回值

* 返回dispense后的sample_uuid

* 添加self.pending_liquids_dict的重置方法

* 修改prcxi的json文件,解决trach错误问题

* 修改prcxijson,防止PlateT4的硬件错误

* 对laiyu移液站进行部分修改,取消多次初始化的问题

* 修改根据新的物料格式,修改可视化

* 添加切换枪头方法,添加mock振荡与加热方法

* 夹爪添加

* 删除多余的laiyu部分

* 云端可启动夹爪

* Delete __init__.py

* Enhance PRCXI9300 classes with new Container and TipRack implementations, improving state management and initialization logic. Update JSON configuration to reflect type changes for containers and plates.

* 修改上传数据

---------

Co-authored-by: Junhan Chang <changjh@dp.tech>
Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: Xie Qiming <97236197+Andy6M@users.noreply.github.com>
Co-authored-by: h840473807 <47357934+h840473807@users.noreply.github.com>
Co-authored-by: LccLink <1951855008@qq.com>
Co-authored-by: lixinyu1011 <61094742+lixinyu1011@users.noreply.github.com>
Co-authored-by: shiyubo0410 <shiyubo@dp.tech>
Co-authored-by: hh.(SII) <103566763+Mile-Away@users.noreply.github.com>
Co-authored-by: Xianwei Qi <qxw@stu.pku.edu.cn>
Co-authored-by: WenzheG <wenzheguo32@gmail.com>
Co-authored-by: Harry Liu <113173203+ALITTLELZ@users.noreply.github.com>
Co-authored-by: q434343 <73513873+q434343@users.noreply.github.com>
Co-authored-by: tt <166512503+tt11142023@users.noreply.github.com>
Co-authored-by: xyc <49015816+xiaoyu10031@users.noreply.github.com>
Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: zhangshixiang <554662886@qq.com>
Co-authored-by: ALITTLELZ <l_LZlz@163.com>

Add topic config

add camera driver (#191)

* add camera driver

* add init.py file to cameraSII driver

增强新威电池测试系统 OSS 上传功能 / Enhanced Neware Battery Test System OSS Upload (#196)

* feat: neware-oss-upload-enhancement

* feat(neware): enhance OSS upload with metadata and workflow handles

Add post process station and related resources (#195)

* Add post process station and related resources

- Created JSON configuration for post_process_station and its child post_process_deck.
- Added YAML definitions for post_process_station, bottle carriers, bottles, and deck resources.
- Implemented Python classes for bottle carriers, bottles, decks, and warehouses to manage resources in the post process.
- Established a factory method for creating warehouses with customizable dimensions and layouts.
- Defined the structure and behavior of the post_process_deck and its associated warehouses.

* feat(post_process): add post_process_station and related warehouse functionality

- Introduced post_process_station.json to define the post-processing station structure.
- Implemented post_process_warehouse.py to create warehouse configurations with customizable layouts.
- Added warehouses.py for specific warehouse configurations (4x3x1).
- Updated post_process_station.yaml to reflect new module paths for OpcUaClient.
- Refactored bottle carriers and bottles YAML files to point to the new module paths.
- Adjusted deck.yaml to align with the new organizational structure for post_process_deck.

prcxi resource (#202)

* prcxi resource

* prcxi_resource

* Fix upload error not showing.
Support str type category.

---------

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

Fix upload error not showing.
Support str type category.

feat: introduce `wait_time` command and configurable device communication timeout.

feat: Add `SyringePump` (SY-03B) driver with unified serial/TCP transport for `chinwe` device, including registry and test configurations.
2025-12-26 03:36:48 +08:00
Xuwznln
13a6795657 Update organic syn station. 2025-12-15 02:34:36 +08:00
Xianwei Qi
53219d8b04 Update docs
update "laiyu" missing init file.

fix "laiyu" missing init file.

fix "🐛 fix"

🐛 fix: config file is overwrited by default args even if not be set.

mix

修改了mix,仿真流程报错问题
2025-12-14 13:13:21 +08:00
Xuwznln
b1cdef9185 update version to 0.10.12 2025-12-04 18:47:16 +08:00
Xuwznln
9854ed8c9c fix ros2 future
print all logs to file
fix resource dict dump error
2025-12-04 18:46:37 +08:00
Xuwznln
52544a2c69 signal when host node is ready 2025-12-02 12:00:26 +08:00
ZiWei
5ce433e235 Fix startup with remote resource error
Resource dict fully change to "pose" key

Update oss link

Reduce pylabrobot conversion warning & force enable log dump.

更新 logo 图片
2025-12-02 11:51:01 +08:00
Xuwznln
c7c14d2332 Auto dump logs, fix workstation input schema 2025-11-27 14:24:40 +08:00
Harry Liu
6fdd482649 Transfer_liquid (#176)
* change 9320 desk row number to 4

* Updated 9320 host address

* Updated 9320 host address

* Add **kwargs in classes: PRCXI9300Deck and PRCXI9300Container

* Removed all sample_id in prcxi_9320.json to avoid KeyError

* 9320 machine testing settings

* Typo

* Typo in base_device_node.py

* Enhance liquid handling functionality by adding support for multiple transfer modes (one-to-many, one-to-one, many-to-one) and improving parameter validation. Default channel usage is set when not specified. Adjusted mixing logic to ensure it only occurs when valid conditions are met. Updated documentation for clarity.
2025-11-27 13:49:04 +08:00
Xuwznln
d390236318 Add get_regular_container func 2025-11-27 13:47:12 +08:00
Xuwznln
ed8ee29732 Add get_regular_container func 2025-11-27 13:46:40 +08:00
Xuwznln
ffc583e9d5 Add backend api and update doc 2025-11-26 19:17:46 +08:00
Xuwznln
f1ad0c9c96 Fix port error 2025-11-25 15:19:15 +08:00
Xuwznln
8fa3407649 Add result schema and add TypedDict conversion. 2025-11-25 15:16:27 +08:00
Xuwznln
d3282822fc add session_id and normal_exit 2025-11-20 22:43:24 +08:00
Xuwznln
554bcade24 Support unilabos_samples key 2025-11-19 15:53:59 +08:00
ZiWei
a662c75de1 feat(bioyond): 添加测量小瓶仓库和更新仓库工厂函数参数 2025-11-19 14:26:12 +08:00
ZiWei
931614fe64 feat(bioyond_studio): 添加项目API接口支持及优化物料管理功能
添加通用项目API接口方法(_post_project_api, _delete_project_api)用于与LIMS系统交互
实现compute_experiment_design方法用于实验设计计算
新增brief_step_parameters等订单相关接口方法
优化物料转移逻辑,增加异步任务处理
扩展BioyondV1RPC类,添加批量物料操作、订单状态管理等功能
2025-11-19 14:26:10 +08:00
Xuwznln
d39662f65f Update oss config 2025-11-19 14:22:03 +08:00
Xuwznln
acf5fdebf8 Add startup_json_path, disable_browser, port config 2025-11-18 18:59:39 +08:00
Xuwznln
7f7b1c13c0 bump version to 0.10.11 2025-11-18 18:47:26 +08:00
Xuwznln
75f09034ff update docs, test examples
fix liquid_handler init bug
2025-11-18 18:42:27 +08:00
ZiWei
549a50220b fix camera & workstation & warehouse & reaction station driver 2025-11-18 18:41:37 +08:00
Xuwznln
4189a2cfbe Add get_resource_with_dir & get_resource method 2025-11-15 22:50:30 +08:00
Xuwznln
48895a9bb1 Update repo files. 2025-11-15 03:15:44 +08:00
Xuwznln
891f126ed6 bump version to 0.10.10 2025-11-15 03:11:37 +08:00
Xuwznln
4d3475a849 Update devices 2025-11-15 03:11:36 +08:00
WenzheG
b475db66df nmr 2025-11-15 03:11:35 +08:00
ZiWei
a625a86e3e HR物料同步,前端展示位置修复 (#135)
* 更新Bioyond工作站配置,添加新的物料类型映射和载架定义,优化物料查询逻辑

* 添加Bioyond实验配置文件,定义物料类型映射和设备配置

* 更新bioyond_warehouse_reagent_stack方法,修正试剂堆栈尺寸和布局描述

* 更新Bioyond实验配置,修正物料类型映射,优化设备配置

* 更新Bioyond资源同步逻辑,优化物料入库流程,增强错误处理和日志记录

* 更新Bioyond资源,添加配液站和反应站专用载架,优化仓库工厂函数的排序方式

* 更新Bioyond资源,添加配液站和反应站相关载架,优化试剂瓶和样品瓶配置

* 更新Bioyond实验配置,修正试剂瓶载架ID,确保与设备匹配

* 更新Bioyond资源,移除反应站单烧杯载架,添加反应站单烧瓶载架分类

* Refactor Bioyond resource synchronization and update bottle carrier definitions

- Removed traceback printing in error handling for Bioyond synchronization.
- Enhanced logging for existing Bioyond material ID usage during synchronization.
- Added new bottle carrier definitions for single flask and updated existing ones.
- Refactored dispensing station and reaction station bottle definitions for clarity and consistency.
- Improved resource mapping and error handling in graphio for Bioyond resource conversion.
- Introduced layout parameter in warehouse factory for better warehouse configuration.

* 更新Bioyond仓库工厂,添加排序方式支持,优化坐标计算逻辑

* 更新Bioyond载架和甲板配置,调整样品板尺寸和仓库坐标

* 更新Bioyond资源同步,增强占用位置日志信息,修正坐标转换逻辑

* 更新Bioyond反应站和分配站配置,调整材料类型映射和ID,移除不必要的项

* support name change during materials change

* fix json dumps

* correct tip

* 优化调度器API路径,更新相关方法描述

* 更新 BIOYOND 载架相关文档,调整 API 以支持自带试剂瓶的载架类型,修复资源获取时的子物料处理逻辑

* 实现资源删除时的同步处理,优化出库操作逻辑

* 修复 ItemizedCarrier 中的可见性逻辑

* 保存 Bioyond 原始信息到 unilabos_extra,以便出库时查询

* 根据 resource.capacity 判断是试剂瓶(载架)还是多瓶载架,走不同的奔曜转换

* Fix bioyond bottle_carriers ordering

* 优化 Bioyond 物料同步逻辑,增强坐标解析和位置更新处理

* disable slave connect websocket

* correct remove_resource stats

* change uuid logger to trace level

* enable slave mode

* refactor(bioyond): 统一资源命名并优化物料同步逻辑

- 将DispensingStation和ReactionStation资源统一为PolymerStation命名
- 优化物料同步逻辑,支持耗材类型(typeMode=0)的查询
- 添加物料默认参数配置功能
- 调整仓库坐标布局
- 清理废弃资源定义

* feat(warehouses): 为仓库函数添加col_offset和layout参数

* refactor: 更新实验配置中的物料类型映射命名

将DispensingStation和ReactionStation的物料类型映射统一更名为PolymerStation,保持命名一致性

* fix: 更新实验配置中的载体名称从6VialCarrier到6StockCarrier

* feat(bioyond): 实现物料创建与入库分离逻辑

将物料同步流程拆分为两个独立阶段:transfer阶段只创建物料,add阶段执行入库
简化状态检查接口,仅返回连接状态

* fix(reaction_station): 修正液体进料烧杯体积单位并增强返回结果

将液体进料烧杯的体积单位从μL改为g以匹配实际使用场景
在返回结果中添加merged_workflow和order_params字段,提供更完整的工作流信息

* feat(dispensing_station): 在任务创建返回结果中添加order_params信息

在create_order方法返回结果中增加order_params字段,以便调用方获取完整的任务参数

* fix(dispensing_station): 修改90%物料分配逻辑从分成3份改为直接使用

原逻辑将主称固体平均分成3份作为90%物料,现改为直接使用main_portion

* feat(bioyond): 添加任务编码和任务ID的输出,支持批量任务创建后的状态监控

* refactor(registry): 简化设备配置中的任务结果处理逻辑

将多个单独的任务编码和ID字段合并为统一的return_info字段
更新相关描述以反映新的数据结构

* feat(工作站): 添加HTTP报送服务和任务完成状态跟踪

- 在graphio.py中添加API必需字段
- 实现工作站HTTP服务启动和停止逻辑
- 添加任务完成状态跟踪字典和等待方法
- 重写任务完成报送处理方法记录状态
- 支持批量任务完成等待和报告获取

* refactor(dispensing_station): 移除wait_for_order_completion_and_get_report功能

该功能已被wait_for_multiple_orders_and_get_reports替代,简化代码结构

* fix: 更新任务报告API错误

* fix(workstation_http_service): 修复状态查询中device_id获取逻辑

处理状态查询时安全获取device_id,避免因属性不存在导致的异常

* fix(bioyond_studio): 改进物料入库失败时的错误处理和日志记录

在物料入库API调用失败时,添加更详细的错误信息打印
同时修正station.py中对空响应和失败情况的判断逻辑

* refactor(bioyond): 优化瓶架载体的分配逻辑和注释说明

重构瓶架载体的分配逻辑,使用嵌套循环替代硬编码索引分配
添加更详细的坐标映射说明,明确PLR与Bioyond坐标的对应关系

* fix(bioyond_rpc): 修复物料入库成功时无data字段返回空的问题

当API返回成功但无data字段时,返回包含success标识的字典而非空字典

---------

Co-authored-by: Xuwznln <18435084+Xuwznln@users.noreply.github.com>
Co-authored-by: Junhan Chang <changjh@dp.tech>
2025-11-15 03:11:34 +08:00
xyc
37e0f1037c add new laiyu liquid driver, yaml and json files (#164) 2025-11-15 03:11:33 +08:00
tt
a242253145 标准化opcua设备接入unilab (#78)
* 初始提交,只保留工作区当前状态

* remove redundant arm_slider meshes

---------

Co-authored-by: Junhan Chang <changjh@dp.tech>
2025-11-15 03:11:31 +08:00
q434343
448e0074b7 3d sim (#97)
* 修改lh的json启动

* 修改lh的json启动

* 修改backend,做成sim的通用backend

* 修改yaml的地址,3D模型适配网页生产环境

* 添加laiyu硬件连接

* 修改移液枪的状态判断方法,

修改移液枪的状态判断方法,
添加三轴的表定点与零点之间的转换
添加三轴真实移动的backend

* 修改laiyu移液站

简化移动方法,
取消软件限制位置,
修改当值使用Z轴时也需要重新复位Z轴的问题

* 更新lh以及laiyu workshop

1,现在可以直接通过修改backend,适配其他的移液站,主类依旧使用LiquidHandler,不用重新编写

2,修改枪头判断标准,使用枪头自身判断而不是类的判断,

3,将归零参数用毫米计算,方便手动调整,

4,修改归零方式,上电使用机械归零,确定机械零点,手动归零设置工作区域零点方便计算,二者互不干涉

* 修改枪头动作

* 修改虚拟仿真方法

---------

Co-authored-by: zhangshixiang <@zhangshixiang>
Co-authored-by: Junhan Chang <changjh@dp.tech>
2025-11-15 03:11:30 +08:00
lixinyu1011
304827fc8d 1114物料手册定义教程byxinyu (#165)
* 宜宾奔耀工站deck前端by_Xinyu

* 构建物料教程byxinyu

* 1114物料手册定义教程
2025-11-15 03:11:29 +08:00
Harry Liu
872b3d781f PRCXI Reset Error Correction (#166)
* change 9320 desk row number to 4

* Updated 9320 host address

* Updated 9320 host address

* Add **kwargs in classes: PRCXI9300Deck and PRCXI9300Container

* Removed all sample_id in prcxi_9320.json to avoid KeyError

* 9320 machine testing settings

* Typo

* Rewrite setup logic to clear error code

* 初始化 step_mode 属性
2025-11-15 03:11:29 +08:00
Xuwznln
813400f2b4 bump version to 0.10.9
update registry
2025-11-15 02:45:30 +08:00
Xuwznln
b6dfe2b944 Resource update & asyncio fix
correct bioyond config

prcxi example

fix append_resource

fix regularcontainer

fix cancel error

fix resource_get param

fix json dumps

support name change during materials change

enable slave mode

change uuid logger to trace level

correct remove_resource stats

disable slave connect websocket

adjust with_children param

modify devices to use correct executor (sleep, create_task)

support sleep and create_task in node

fix run async execution error
2025-11-15 02:45:12 +08:00
WenzheG
8807865649 添加Raman和xrd相关代码 2025-11-15 02:44:03 +08:00
Guangxin Zhang
5fc7eb7586 封膜仪、撕膜仪、耗材站接口 2025-11-15 02:44:02 +08:00
ZiWei
9bd72b48e1 Update workstation.
modify workstation_architecture docs

bioyond_HR (#133)

* feat: Enhance Bioyond synchronization and resource management

- Implemented synchronization for all material types (consumables, samples, reagents) from Bioyond, logging detailed information for each type.
- Improved error handling and logging during synchronization processes.
- Added functionality to save Bioyond material IDs in UniLab resources for future updates.
- Enhanced the `sync_to_external` method to handle material movements correctly, including querying and creating materials in Bioyond.
- Updated warehouse configurations to support new storage types and improved layout for better resource management.
- Introduced new resource types such as reactors and tip boxes, with detailed specifications.
- Modified warehouse factory to support column offsets for naming conventions (e.g., A05-D08).
- Improved resource tracking by merging extra attributes instead of overwriting them.
- Added a new method for updating resources in Bioyond, ensuring better synchronization of resource changes.

* feat: 添加TipBox和Reactor的配置到bottles.yaml

* fix: 修复液体投料方法中的volume参数处理逻辑

修复solid_feeding_vials方法中的volume参数处理逻辑,优化solvents参数的使用条件

更新液体投料方法,支持通过溶剂信息自动计算体积,添加solvents参数并更新文档描述

Add batch creation methods for vial and solution tasks

添加批量创建90%10%小瓶投料任务和二胺溶液配置任务的功能,更新相关参数和默认值
2025-11-15 02:43:50 +08:00
Xuwznln
42b78ab4c1 Update resource extra & uuid.
use ordering to convert identifier to idx

convert identifier to site idx

correct extra key

update extra before transfer

fix multiple instance error

add resource_tree_transfer func

fox itemrized carrier assign child resource

support internal device material transfer

remove extra key

use same callback group

support material extra

support material extra
support update_resource_site in extra
2025-11-15 02:43:13 +08:00
Xianwei Qi
9645609a05 PRCXI Update
修改prcxi连线

prcxi样例图

Create example_prcxi.json
2025-11-15 02:41:30 +08:00
ZiWei
a2a827d7ac Update workstation & bioyond example
Refine descriptions in Bioyond reaction station YAML

Updated and clarified field and operation descriptions in the reaction_station_bioyond.yaml file for improved accuracy and consistency. Changes include more precise terminology, clearer parameter explanations, and standardized formatting for operation schemas.

refactor(workstation): 更新反应站参数描述并添加分液站配置文件

修正反应站方法参数描述,使其更准确清晰
添加bioyond_dispensing_station.yaml配置文件

add create_workflow script and test

add invisible_slots to carriers

fix(warehouses): 修正bioyond_warehouse_1x4x4仓库的尺寸参数

调整仓库的num_items_x和num_items_z值以匹配实际布局,并更新物品尺寸参数

save resource get data. allow empty value for layout and cross_section_type

More decks&plates support for bioyond (#115)

refactor(registry): 重构反应站设备配置,简化并更新操作命令

移除旧的自动操作命令,新增针对具体化学操作的命令配置
更新模块路径和配置结构,优化参数定义和描述

fix(dispensing_station): 修正物料信息查询方法调用

将直接调用material_id_query改为通过hardware_interface调用,以符合接口设计规范
2025-11-15 02:40:54 +08:00
ZiWei
bb3ca645a4 Update graphio together with workstation design.
fix(reaction_station): 为步骤参数添加Value字段传个BY后端

fix(bioyond/warehouses): 修正仓库尺寸和物品排列参数

调整仓库的x轴和z轴物品数量以及物品尺寸参数,使其符合4x1x4的规格要求

fix warehouse serialize/deserialize

fix bioyond converter

fix itemized_carrier.unassign_child_resource

allow not-loaded MSG in registry

add layout serializer & converter

warehouseuse A1-D4; add warehouse layout

fix(graphio): 修正bioyond到plr资源转换中的坐标计算错误

Fix resource assignment and type mapping issues

Corrects resource assignment in ItemizedCarrier by using the correct spot key from _ordering. Updates graphio to use 'typeName' instead of 'name' for type mapping in resource_bioyond_to_plr. Renames DummyWorkstation to BioyondWorkstation in workstation_http_service for clarity.
2025-11-15 02:39:01 +08:00
Junhan Chang
37ee43d19a Update ResourceTracker
add more enumeration in POSE

fix converter in resource_tracker
2025-11-15 02:38:01 +08:00
Xuwznln
bc30f23e34 Update create_resource device_id 2025-10-20 21:45:20 +08:00
ZiWei
166d84afe1 fix(reaction_station): 清空工作流序列和参数避免重复执行 (#113)
在创建任务后清空工作流序列和参数,防止下次执行时累积重复
2025-10-17 13:44:36 +08:00
Junhan Chang
1b43c53015 fix resource_get in action 2025-10-17 13:44:35 +08:00
Xuwznln
d4415f5a35 Fix/update resource (#112)
* cancel upload_registry

* Refactor Bioyond workstation and experiment workflow -fix (#111)

* refactor(bioyond_studio): 优化材料缓存加载和参数验证逻辑

改进材料缓存加载逻辑以支持多种材料类型和详细材料处理
更新工作流参数验证中的字段名从key/value改为Key/DisplayValue
移除未使用的merge_workflow_with_parameters方法
添加get_station_info方法获取工作站基础信息
清理实验文件中的注释代码和更新导入路径

* fix: 修复资源移除时的父资源检查问题

在BaseROS2DeviceNode中,移除资源前添加对父资源是否为None的检查,避免空指针异常
同时更新Bottle和BottleCarrier类以支持**kwargs参数
修正测试文件中Liquid_feeding_beaker的大小写拼写错误

* correct return message

---------

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
2025-10-17 03:08:15 +08:00
Xuwznln
0260cbbedb Close #107
Update doc url.
2025-10-16 17:26:45 +08:00
Xuwznln
7c440d10ab Fix/resource UUID and doc fix (#109)
* Fix ResourceTreeSet load error

* Raise error when using unsupported type to create ResourceTreeSet

* Fix children key error

* Fix children key error

* Fix workstation resource not tracking

* Fix workstation deck & children resource dupe

* Fix workstation deck & children resource dupe

* Fix multiple resource error

* Fix resource tree update

* Fix resource tree update

* Force confirm uuid

* Tip more error log

* Refactor Bioyond workstation and experiment workflow (#105)

Refactored the Bioyond workstation classes to improve parameter handling and workflow management. Updated experiment.py to use BioyondReactionStation with deck and material mappings, and enhanced workflow step parameter mapping and execution logic. Adjusted JSON experiment configs, improved workflow sequence handling, and added UUID assignment to PLR materials. Removed unused station_config and material cache logic, and added detailed docstrings and debug output for workflow methods.

* Fix resource get.
Fix resource parent not found.
Mapping uuid for all resources.

* mount parent uuid

* Add logging configuration based on BasicConfig in main function

* fix workstation node error

* fix workstation node error

* Update boot example

* temp fix for resource get

* temp fix for resource get

* provide error info when cant find plr type

* pack repo info

* fix to plr type error

* fix to plr type error

* Update regular container method

* support no size init

* fix comprehensive_station.json

* fix comprehensive_station.json

* fix type conversion

* fix state loading for regular container

* Update deploy-docs.yml

* Update deploy-docs.yml

---------

Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
2025-10-16 17:26:07 +08:00
Xuwznln
c85c49817d Fix workstation startup
Update registry
2025-10-13 15:06:30 +08:00
Xuwznln
c70eafa5f0 Fix one-key installation build for windows 2025-10-13 15:06:29 +08:00
Junhan Chang
b64466d443 modify default config 2025-10-13 15:06:26 +08:00
Junhan Chang
ef3f24ed48 add plr_to_bioyond, and refactor bioyond stations 2025-10-13 15:06:25 +08:00
Xuwznln
2a8e8d014b Fix conda pack on windows 2025-10-13 13:19:45 +08:00
Xuwznln
e0da1c7217 Fix one-key installation build
Install conda-pack before pack command

Add conda-pack to base when building one-key installer

Fix param error when using mamba run

Try fix one-key build on linux
2025-10-13 03:33:00 +08:00
hh.(SII)
51d3e61723 fix: rename schema field to resource_schema with serialization and validation aliases (#104)
Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
2025-10-13 03:24:20 +08:00
Xuwznln
6b5765bbf3 Complete all one key installation 2025-10-13 03:24:19 +08:00
Xuwznln
eb1f3fbe1c Try fix one-key build on linux 2025-10-13 02:10:05 +08:00
Xuwznln
fb93b1cd94 fix startup env check.
add auto install during one-key installation
2025-10-13 01:59:53 +08:00
Xuwznln
9aeffebde1 0.10.7 Update (#101)
* Cleanup registry to be easy-understanding (#76)

* delete deprecated mock devices

* rename categories

* combine chromatographic devices

* rename rviz simulation nodes

* organic virtual devices

* parse vessel_id

* run registry completion before merge

---------

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

* fix: workstation handlers and vessel_id parsing

* fix: working dir error when input config path
feat: report publish topic when error

* modify default discovery_interval to 15s

* feat: add trace log level

* feat: 添加ChinWe设备控制类,支持串口通信和电机控制功能 (#79)

* fix: drop_tips not using auto resource select

* fix: discard_tips error

* fix: discard_tips

* fix: prcxi_res

* add: prcxi res
fix: startup slow

* feat: workstation example

* fix pumps and liquid_handler handle

* feat: 优化protocol node节点运行日志

* fix all protocol_compilers and remove deprecated devices

* feat: 新增use_remote_resource参数

* fix and remove redundant info

* bugfixes on organic protocols

* fix filter protocol

* fix protocol node

* 临时兼容错误的driver写法

* fix: prcxi import error

* use call_async in all service to avoid deadlock

* fix: figure_resource

* Update recipe.yaml

* add workstation template and battery example

* feat: add sk & ak

* update workstation base

* Create workstation_architecture.md

* refactor: workstation_base 重构为仅含业务逻辑,通信和子设备管理交给 ProtocolNode

* refactor: ProtocolNode→WorkstationNode

* Add:msgs.action (#83)

* update: Workstation dev 将版本号从 0.10.3 更新为 0.10.4 (#84)

* Add:msgs.action

* update: 将版本号从 0.10.3 更新为 0.10.4

* simplify resource system

* uncompleted refactor

* example for use WorkstationBase

* feat: websocket

* feat: websocket test

* feat: workstation example

* feat: action status

* fix: station自己的方法注册错误

* fix: 还原protocol node处理方法

* fix: build

* fix: missing job_id key

* ws test version 1

* ws test version 2

* ws protocol

* 增加物料关系上传日志

* 增加物料关系上传日志

* 修正物料关系上传

* 修复工站的tracker实例追踪失效问题

* 增加handle检测,增加material edge关系上传

* 修复event loop错误

* 修复edge上报错误

* 修复async错误

* 更新schema的title字段

* 主机节点信息等支持自动刷新

* 注册表编辑器

* 修复status密集发送时,消息出错

* 增加addr参数

* fix: addr param

* fix: addr param

* 取消labid 和 强制config输入

* Add action definitions for LiquidHandlerSetGroup and LiquidHandlerTransferGroup

- Created LiquidHandlerSetGroup.action with fields for group name, wells, and volumes.
- Created LiquidHandlerTransferGroup.action with fields for source and target group names and unit volume.
- Both actions include response fields for return information and success status.

* Add LiquidHandlerSetGroup and LiquidHandlerTransferGroup actions to CMakeLists

* Add set_group and transfer_group methods to PRCXI9300Handler and update liquid_handler.yaml

* result_info改为字典类型

* 新增uat的地址替换

* runze multiple pump support

(cherry picked from commit 49354fcf39)

* remove runze multiple software obtainer

(cherry picked from commit 8bcc92a394)

* support multiple backbone

(cherry picked from commit 4771ff2347)

* Update runze pump format

* Correct runze multiple backbone

* Update runze_multiple_backbone

* Correct runze pump multiple receive method.

* Correct runze pump multiple receive method.

* 对于PRCXI9320的transfer_group,一对多和多对多

* 移除MQTT,更新launch文档,提供注册表示例文件,更新到0.10.5

* fix import error

* fix dupe upload registry

* refactor ws client

* add server timeout

* Fix: run-column with correct vessel id (#86)

* fix run_column

* Update run_column_protocol.py

(cherry picked from commit e5aa4d940a)

* resource_update use resource_add

* 新增版位推荐功能

* 重新规定了版位推荐的入参

* update registry with nested obj

* fix protocol node log_message, added create_resource return value

* fix protocol node log_message, added create_resource return value

* try fix add protocol

* fix resource_add

* 修复移液站错误的aspirate注册表

* Feature/xprbalance-zhida (#80)

* feat(devices): add Zhida GC/MS pretreatment automation workstation

* feat(devices): add mettler_toledo xpr balance

* balance

* 重新补全zhida注册表

* PRCXI9320 json

* PRCXI9320 json

* PRCXI9320 json

* fix resource download

* remove class for resource

* bump version to 0.10.6

* 更新所有注册表

* 修复protocolnode的兼容性

* 修复protocolnode的兼容性

* Update install md

* Add Defaultlayout

* 更新物料接口

* fix dict to tree/nested-dict converter

* coin_cell_station draft

* refactor: rename "station_resource" to "deck"

* add standardized BIOYOND resources: bottle_carrier, bottle

* refactor and add BIOYOND resources tests

* add BIOYOND deck assignment and pass all tests

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* feat: 将新威电池测试系统驱动与配置文件并入 workstation_dev_YB2 (#92)

* feat: 新威电池测试系统驱动与注册文件

* feat: bring neware driver & battery.json into workstation_dev_YB2

* add bioyond studio draft

* bioyond station with communication init and resource sync

* fix bioyond station and registry

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* frontend_docs

* create/update resources with POST/PUT for big amount/ small amount data

* create/update resources with POST/PUT for big amount/ small amount data

* refactor: add itemized_carrier instead of carrier consists of ResourceHolder

* create warehouse by factory func

* update bioyond launch json

* add child_size for itemized_carrier

* fix bioyond resource io

* Workstation templates: Resources and its CRUD, and workstation tasks (#95)

* coin_cell_station draft

* refactor: rename "station_resource" to "deck"

* add standardized BIOYOND resources: bottle_carrier, bottle

* refactor and add BIOYOND resources tests

* add BIOYOND deck assignment and pass all tests

* fix: update resource with correct structure; remove deprecated liquid_handler set_group action

* feat: 将新威电池测试系统驱动与配置文件并入 workstation_dev_YB2 (#92)

* feat: 新威电池测试系统驱动与注册文件

* feat: bring neware driver & battery.json into workstation_dev_YB2

* add bioyond studio draft

* bioyond station with communication init and resource sync

* fix bioyond station and registry

* create/update resources with POST/PUT for big amount/ small amount data

* refactor: add itemized_carrier instead of carrier consists of ResourceHolder

* create warehouse by factory func

* update bioyond launch json

* add child_size for itemized_carrier

* fix bioyond resource io

---------

Co-authored-by: h840473807 <47357934+h840473807@users.noreply.github.com>
Co-authored-by: Xie Qiming <97236197+Andy6M@users.noreply.github.com>

* 更新物料接口

* Workstation dev yb2 (#100)

* Refactor and extend reaction station action messages

* Refactor dispensing station tasks to enhance parameter clarity and add batch processing capabilities

- Updated `create_90_10_vial_feeding_task` to include detailed parameters for 90%/10% vial feeding, improving clarity and usability.
- Introduced `create_batch_90_10_vial_feeding_task` for batch processing of 90%/10% vial feeding tasks with JSON formatted input.
- Added `create_batch_diamine_solution_task` for batch preparation of diamine solution, also utilizing JSON formatted input.
- Refined `create_diamine_solution_task` to include additional parameters for better task configuration.
- Enhanced schema descriptions and default values for improved user guidance.

* 修复to_plr_resources

* add update remove

* 支持选择器注册表自动生成
支持转运物料

* 修复资源添加

* 修复transfer_resource_to_another生成

* 更新transfer_resource_to_another参数,支持spot入参

* 新增test_resource动作

* fix host_node error

* fix host_node test_resource error

* fix host_node test_resource error

* 过滤本地动作

* 移动内部action以兼容host node

* 修复同步任务报错不显示的bug

* feat: 允许返回非本节点物料,后面可以通过decoration进行区分,就不进行warning了

* update todo

* modify bioyond/plr converter, bioyond resource registry, and tests

* pass the tests

* update todo

* add conda-pack-build.yml

* add auto install script for conda-pack-build.yml

(cherry picked from commit 172599adcf)

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* update conda-pack-build.yml

* Add version in __init__.py
Update conda-pack-build.yml
Add create_zip_archive.py

* Update conda-pack-build.yml

* Update conda-pack-build.yml (with mamba)

* Update conda-pack-build.yml

* Fix FileNotFoundError

* Try fix 'charmap' codec can't encode characters in position 16-23: character maps to <undefined>

* Fix unilabos msgs search error

* Fix environment_check.py

* Update recipe.yaml

* Update registry. Update uuid loop figure method. Update install docs.

* Fix nested conda pack

* Fix one-key installation path error

* Bump version to 0.10.7

* Workshop bj (#99)

* Add LaiYu Liquid device integration and tests

Introduce LaiYu Liquid device implementation, including backend, controllers, drivers, configuration, and resource files. Add hardware connection, tip pickup, and simplified test scripts, as well as experiment and registry configuration for LaiYu Liquid. Documentation and .gitignore for the device are also included.

* feat(LaiYu_Liquid): 重构设备模块结构并添加硬件文档

refactor: 重新组织LaiYu_Liquid模块目录结构
docs: 添加SOPA移液器和步进电机控制指令文档
fix: 修正设备配置中的最大体积默认值
test: 新增工作台配置测试用例
chore: 删除过时的测试脚本和配置文件

* add

* 重构: 将 LaiYu_Liquid.py 重命名为 laiyu_liquid_main.py 并更新所有导入引用

- 使用 git mv 将 LaiYu_Liquid.py 重命名为 laiyu_liquid_main.py
- 更新所有相关文件中的导入引用
- 保持代码功能不变,仅改善命名一致性
- 测试确认所有导入正常工作

* 修复: 在 core/__init__.py 中添加 LaiYuLiquidBackend 导出

- 添加 LaiYuLiquidBackend 到导入列表
- 添加 LaiYuLiquidBackend 到 __all__ 导出列表
- 确保所有主要类都可以正确导入

* 修复大小写文件夹名字

* 电池装配工站二次开发教程(带目录)上传至dev (#94)

* 电池装配工站二次开发教程

* Update intro.md

* 物料教程

* 更新物料教程,json格式注释

* Update prcxi driver & fix transfer_liquid mix_times (#90)

* Update prcxi driver & fix transfer_liquid mix_times

* fix: correct mix_times type

* Update liquid_handler registry

* test: prcxi.py

* Update registry from pr

* fix ony-key script not exist

* clean files

---------

Co-authored-by: Junhan Chang <changjh@dp.tech>
Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
Co-authored-by: Guangxin Zhang <guangxin.zhang.bio@gmail.com>
Co-authored-by: Xie Qiming <97236197+Andy6M@users.noreply.github.com>
Co-authored-by: h840473807 <47357934+h840473807@users.noreply.github.com>
Co-authored-by: LccLink <1951855008@qq.com>
Co-authored-by: lixinyu1011 <61094742+lixinyu1011@users.noreply.github.com>
Co-authored-by: shiyubo0410 <shiyubo@dp.tech>
2025-10-12 23:34:26 +08:00
73 changed files with 2686 additions and 16659 deletions

View File

@@ -3,7 +3,7 @@
package:
name: unilabos
version: 0.10.18
version: 0.10.17
source:
path: ../../unilabos
@@ -41,20 +41,19 @@ requirements:
- networkx
- typing_extensions
- websockets
- opentrons_shared_data
- pint
- fastapi
- jinja2
- requests
- uvicorn
- if: not osx
then:
- opcua
- opcua
- pyserial
- pandas
- pymodbus
- matplotlib
- pylibftdi
- uni-lab::unilabos-env ==0.10.18
- uni-lab::unilabos-env ==0.10.17
about:
repository: https://github.com/deepmodeling/Uni-Lab-OS

View File

@@ -2,7 +2,7 @@
package:
name: unilabos-env
version: 0.10.18
version: 0.10.17
build:
noarch: generic
@@ -36,4 +36,4 @@ requirements:
about:
repository: https://github.com/deepmodeling/Uni-Lab-OS
license: GPL-3.0-only
description: "UniLabOS Environment - ROS2 and conda dependencies"
description: "UniLabOS Environment - ROS2 and conda dependencies (for developers: pip install -e .)"

View File

@@ -3,7 +3,7 @@
package:
name: unilabos-full
version: 0.10.18
version: 0.10.17
build:
noarch: generic
@@ -11,7 +11,7 @@ build:
requirements:
run:
# Base unilabos package (includes unilabos-env)
- uni-lab::unilabos ==0.10.18
- uni-lab::unilabos ==0.10.17
# Documentation tools
- sphinx
- sphinx_rtd_theme

View File

@@ -47,9 +47,9 @@ jobs:
uv pip install -r unilabos/utils/requirements.txt
uv pip install pywinauto git+https://github.com/Xuwznln/pylabrobot.git
uv pip uninstall enum34 || echo enum34 not installed, skipping
uv pip install .
uv pip install -e .
- name: Run check mode (AST registry validation)
- name: Run check mode (complete_registry)
run: |
call conda activate check-env
echo Running check mode...

1
.gitignore vendored
View File

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

View File

@@ -1,87 +0,0 @@
# AGENTS.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Also follow the monorepo-level rules in `../AGENTS.md`.
## Build & Development
```bash
# Install in editable mode (requires mamba env with python 3.11)
pip install -e .
uv pip install -r unilabos/utils/requirements.txt
# Run with a device graph
unilab --graph <graph.json> --config <config.py> --backend ros
unilab --graph <graph.json> --config <config.py> --backend simple # no ROS2 needed
# Common CLI flags
unilab --app_bridges websocket fastapi # communication bridges
unilab --test_mode # simulate hardware, no real execution
unilab --check_mode # CI validation of registry imports
unilab --skip_env_check # skip auto-install of dependencies
unilab --visual rviz|web|disable # visualization mode
unilab --is_slave # run as slave node
# Workflow upload subcommand
unilab workflow_upload -f <workflow.json> -n <name> --tags tag1 tag2
# Tests
pytest tests/ # all tests
pytest tests/resources/test_resourcetreeset.py # single test file
pytest tests/resources/test_resourcetreeset.py::TestClassName::test_method # single test
```
## Architecture
### Startup Flow
`unilab` CLI → `unilabos/app/main.py:main()` → loads config → builds registry → reads device graph (JSON/GraphML) → starts backend thread (ROS2/simple) → starts FastAPI web server + WebSocket client.
### Core Layers
**Registry** (`unilabos/registry/`): Singleton `Registry` class discovers and catalogs all device types, resource types, and communication devices from YAML definitions. Device types live in `registry/devices/*.yaml`, resources in `registry/resources/`, comms in `registry/device_comms/`. The registry resolves class paths to actual Python classes via `utils/import_manager.py`.
**Resource Tracking** (`unilabos/resources/resource_tracker.py`): Pydantic-based `ResourceDict``ResourceDictInstance``ResourceTreeSet` hierarchy. `ResourceTreeSet` is the canonical in-memory representation of all devices and resources, used throughout the system. Graph I/O is in `resources/graphio.py` (reads JSON/GraphML device topology files into `nx.Graph` + `ResourceTreeSet`).
**Device Drivers** (`unilabos/devices/`): 30+ hardware drivers organized by device type (liquid_handling, hplc, balance, arm, etc.). Each driver is a Python class that gets wrapped by `ros/device_node_wrapper.py:ros2_device_node()` to become a ROS2 node with publishers, subscribers, and action servers.
**ROS2 Layer** (`unilabos/ros/`): `device_node_wrapper.py` dynamically wraps any device class into `ROS2DeviceNode` (defined in `ros/nodes/base_device_node.py`). Preset node types in `ros/nodes/presets/` include `host_node`, `controller_node`, `workstation`, `serial_node`, `camera`. Messages use custom `unilabos_msgs` (pre-built, distributed via releases).
**Protocol Compilation** (`unilabos/compile/`): 20+ protocol compilers (add, centrifuge, dissolve, filter, heatchill, stir, pump, etc.) that transform YAML protocol definitions into executable sequences.
**Communication** (`unilabos/device_comms/`): Hardware communication adapters — OPC-UA client, Modbus PLC, RPC, and a universal driver. `app/communication.py` provides a factory pattern for WebSocket client connections to the cloud.
**Web/API** (`unilabos/app/web/`): FastAPI server with REST API (`api.py`), Jinja2 template pages (`pages.py`), and HTTP client for cloud communication (`client.py`). Runs on port 8002 by default.
### Configuration System
- **Config classes** in `unilabos/config/config.py`: `BasicConfig`, `WSConfig`, `HTTPConfig`, `ROSConfig` — all class-level attributes, loaded from Python config files
- Config files are `.py` files with matching class names (see `config/example_config.py`)
- Environment variables override with prefix `UNILABOS_` (e.g., `UNILABOS_BASICCONFIG_PORT=9000`)
- Device topology defined in graph files (JSON with node-link format, or GraphML)
### Key Data Flow
1. Graph file → `graphio.read_node_link_json()``(nx.Graph, ResourceTreeSet, resource_links)`
2. `ResourceTreeSet` + `Registry``initialize_device.initialize_device_from_dict()``ROS2DeviceNode` instances
3. Device nodes communicate via ROS2 topics/actions or direct Python calls (simple backend)
4. Cloud sync via WebSocket (`app/ws_client.py`) and HTTP (`app/web/client.py`)
### Test Data
Example device graphs and experiment configs are in `unilabos/test/experiments/` (not `tests/`). Registry test fixtures in `unilabos/test/registry/`.
## Code Conventions
- Code comments and log messages in simplified Chinese
- Python 3.11+, type hints expected
- Pydantic models for data validation (`resource_tracker.py`)
- Singleton pattern via `@singleton` decorator (`utils/decorator.py`)
- Dynamic class loading via `utils/import_manager.py` — device classes resolved at runtime from registry YAML paths
- CLI argument dashes auto-converted to underscores for consistency
## Licensing
- Framework code: GPL-3.0
- Device drivers (`unilabos/devices/`): DP Technology Proprietary License — do not redistribute

View File

@@ -1,4 +0,0 @@
Please follow the rules defined in:
@AGENTS.md

View File

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

View File

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

View File

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

View File

@@ -439,9 +439,6 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
1. 访问 Web 界面,进入"仪器耗材"模块
2. 在"仪器设备"区域找到并添加上述设备
3. 在"物料耗材"区域找到并添加容器
4. 在workstation中配置protocol_type包含PumpTransferProtocol
![添加Protocol类型](image/add_protocol.png)
![物料列表](image/material.png)
@@ -452,9 +449,8 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
**操作步骤:**
1. 将两个 `container` 拖拽到 `workstation`
2.`virtual_multiway_valve` 拖拽到 `workstation`
3. `virtual_transfer_pump` 拖拽到 `workstation`
4. 在画布上连接它们(建立父子关系)
2.`virtual_transfer_pump` 拖拽到 `workstation`
3. 在画布上连接它们(建立父子关系)
![设备连接](image/links.png)

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

View File

@@ -1,6 +1,6 @@
package:
name: ros-humble-unilabos-msgs
version: 0.10.18
version: 0.10.17
source:
path: ../../unilabos_msgs
target_directory: src

View File

@@ -1,6 +1,6 @@
package:
name: unilabos
version: "0.10.18"
version: "0.10.17"
source:
path: ../..

View File

@@ -2,6 +2,7 @@ import json
import logging
import traceback
import uuid
import xml.etree.ElementTree as ET
from typing import Any, Dict, List
import networkx as nx
@@ -24,15 +25,7 @@ class SimpleGraph:
def add_edge(self, source, target, **attrs):
"""添加边"""
# edge = {"source": source, "target": target, **attrs}
edge = {
"source": source, "target": target,
"source_node_uuid": source,
"target_node_uuid": target,
"source_handle_io": "source",
"target_handle_io": "target",
**attrs
}
edge = {"source": source, "target": target, **attrs}
self.edges.append(edge)
def to_dict(self):
@@ -49,7 +42,6 @@ class SimpleGraph:
"multigraph": False,
"graph": {},
"nodes": nodes_list,
"edges": self.edges,
"links": self.edges,
}
@@ -66,8 +58,495 @@ def extract_json_from_markdown(text: str) -> str:
return text
def convert_to_type(val: str) -> Any:
"""将字符串值转换为适当的数据类型"""
if val == "True":
return True
if val == "False":
return False
if val == "?":
return None
if val.endswith(" g"):
return float(val.split(" ")[0])
if val.endswith("mg"):
return float(val.split("mg")[0])
elif val.endswith("mmol"):
return float(val.split("mmol")[0]) / 1000
elif val.endswith("mol"):
return float(val.split("mol")[0])
elif val.endswith("ml"):
return float(val.split("ml")[0])
elif val.endswith("RPM"):
return float(val.split("RPM")[0])
elif val.endswith(" °C"):
return float(val.split(" ")[0])
elif val.endswith(" %"):
return float(val.split(" ")[0])
return val
def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板"""
refactored_data = []
# 定义操作映射,包含生物实验和有机化学的所有操作
OPERATION_MAPPING = {
# 生物实验操作
"transfer_liquid": "SynBioFactory-liquid_handler.prcxi-transfer_liquid",
"transfer": "SynBioFactory-liquid_handler.biomek-transfer",
"incubation": "SynBioFactory-liquid_handler.biomek-incubation",
"move_labware": "SynBioFactory-liquid_handler.biomek-move_labware",
"oscillation": "SynBioFactory-liquid_handler.biomek-oscillation",
# 有机化学操作
"HeatChillToTemp": "SynBioFactory-workstation-HeatChillProtocol",
"StopHeatChill": "SynBioFactory-workstation-HeatChillStopProtocol",
"StartHeatChill": "SynBioFactory-workstation-HeatChillStartProtocol",
"HeatChill": "SynBioFactory-workstation-HeatChillProtocol",
"Dissolve": "SynBioFactory-workstation-DissolveProtocol",
"Transfer": "SynBioFactory-workstation-TransferProtocol",
"Evaporate": "SynBioFactory-workstation-EvaporateProtocol",
"Recrystallize": "SynBioFactory-workstation-RecrystallizeProtocol",
"Filter": "SynBioFactory-workstation-FilterProtocol",
"Dry": "SynBioFactory-workstation-DryProtocol",
"Add": "SynBioFactory-workstation-AddProtocol",
}
UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
for step in data:
operation = step.get("action")
if not operation or operation in UNSUPPORTED_OPERATIONS:
continue
# 处理重复操作
if operation == "Repeat":
times = step.get("times", step.get("parameters", {}).get("times", 1))
sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
for i in range(int(times)):
sub_data = refactor_data(sub_steps)
refactored_data.extend(sub_data)
continue
# 获取模板名称
template = OPERATION_MAPPING.get(operation)
if not template:
# 自动推断模板类型
if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
template = f"SynBioFactory-liquid_handler.biomek-{operation}"
else:
template = f"SynBioFactory-workstation-{operation}Protocol"
# 创建步骤数据
step_data = {
"template": template,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"parameters": step.get("parameters", step.get("action_args", {})),
}
refactored_data.append(step_data)
return refactored_data
def build_protocol_graph(
labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
) -> SimpleGraph:
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑"""
G = SimpleGraph()
resource_last_writer = {}
LAB_NAME = "SynBioFactory"
protocol_steps = refactor_data(protocol_steps)
# 检查协议步骤中的模板来判断协议类型
has_biomek_template = any(
("biomek" in step.get("template", "")) or ("prcxi" in step.get("template", ""))
for step in protocol_steps
)
if has_biomek_template:
# 生物实验协议图构建
for labware_id, labware in labware_info.items():
node_id = str(uuid.uuid4())
labware_attrs = labware.copy()
labware_id = labware_attrs.pop("id", labware_attrs.get("name", f"labware_{uuid.uuid4()}"))
labware_attrs["description"] = labware_id
labware_attrs["lab_node_type"] = (
"Reagent" if "Plate" in str(labware_id) else "Labware" if "Rack" in str(labware_id) else "Sample"
)
labware_attrs["device_id"] = workstation_name
G.add_node(node_id, template=f"{LAB_NAME}-host_node-create_resource", **labware_attrs)
resource_last_writer[labware_id] = f"{node_id}:labware"
# 处理协议步骤
prev_node = None
for i, step in enumerate(protocol_steps):
node_id = str(uuid.uuid4())
G.add_node(node_id, **step)
# 添加控制流边
if prev_node is not None:
G.add_edge(prev_node, node_id, source_port="ready", target_port="ready")
prev_node = node_id
# 处理物料流
params = step.get("parameters", {})
if "sources" in params and params["sources"] in resource_last_writer:
source_node, source_port = resource_last_writer[params["sources"]].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port="labware")
if "targets" in params:
resource_last_writer[params["targets"]] = f"{node_id}:labware"
# 添加协议结束节点
end_id = str(uuid.uuid4())
G.add_node(end_id, template=f"{LAB_NAME}-liquid_handler.biomek-run_protocol")
if prev_node is not None:
G.add_edge(prev_node, end_id, source_port="ready", target_port="ready")
else:
# 有机化学协议图构建
WORKSTATION_ID = workstation_name
# 为所有labware创建资源节点
for item_id, item in labware_info.items():
# item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
node_id = str(uuid.uuid4())
# 判断节点类型
if item.get("type") == "hardware" or "reactor" in str(item_id).lower():
if "reactor" not in str(item_id).lower():
continue
lab_node_type = "Sample"
description = f"Prepare Reactor: {item_id}"
liquid_type = []
liquid_volume = []
else:
lab_node_type = "Reagent"
description = f"Add Reagent to Flask: {item_id}"
liquid_type = [item_id]
liquid_volume = [1e5]
G.add_node(
node_id,
template=f"{LAB_NAME}-host_node-create_resource",
description=description,
lab_node_type=lab_node_type,
res_id=item_id,
device_id=WORKSTATION_ID,
class_name="container",
parent=WORKSTATION_ID,
bind_locations={"x": 0.0, "y": 0.0, "z": 0.0},
liquid_input_slot=[-1],
liquid_type=liquid_type,
liquid_volume=liquid_volume,
slot_on_deck="",
role=item.get("role", ""),
)
resource_last_writer[item_id] = f"{node_id}:labware"
last_control_node_id = None
# 处理协议步骤
for step in protocol_steps:
node_id = str(uuid.uuid4())
G.add_node(node_id, **step)
# 控制流
if last_control_node_id is not None:
G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
last_control_node_id = node_id
# 物料流
params = step.get("parameters", {})
input_resources = {
"Vessel": params.get("vessel"),
"ToVessel": params.get("to_vessel"),
"FromVessel": params.get("from_vessel"),
"reagent": params.get("reagent"),
"solvent": params.get("solvent"),
"compound": params.get("compound"),
"sources": params.get("sources"),
"targets": params.get("targets"),
}
for target_port, resource_name in input_resources.items():
if resource_name and resource_name in resource_last_writer:
source_node, source_port = resource_last_writer[resource_name].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
output_resources = {
"VesselOut": params.get("vessel"),
"FromVesselOut": params.get("from_vessel"),
"ToVesselOut": params.get("to_vessel"),
"FiltrateOut": params.get("filtrate_vessel"),
"reagent": params.get("reagent"),
"solvent": params.get("solvent"),
"compound": params.get("compound"),
"sources_out": params.get("sources"),
"targets_out": params.get("targets"),
}
for source_port, resource_name in output_resources.items():
if resource_name:
resource_last_writer[resource_name] = f"{node_id}:{source_port}"
return G
def draw_protocol_graph(protocol_graph: SimpleGraph, output_path: str):
"""
(辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图,用于可视化。
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
G.add_node(node_id, label=label, **attrs)
for edge in protocol_graph.edges:
G.add_edge(edge["source"], edge["target"])
plt.figure(figsize=(20, 15))
try:
pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
except Exception:
pos = nx.shell_layout(G) # Fallback layout
node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
nx.draw(
G,
pos,
with_labels=False,
node_size=2500,
node_color="skyblue",
node_shape="o",
edge_color="gray",
width=1.5,
arrowsize=15,
)
nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
plt.title("Chemical Protocol Workflow Graph", size=15)
plt.savefig(output_path, dpi=300, bbox_inches="tight")
plt.close()
print(f" - Visualization saved to '{output_path}'")
from networkx.drawing.nx_agraph import to_agraph
import re
COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
def _is_compass(port: str) -> bool:
return isinstance(port, str) and port.lower() in COMPASS
def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
"""
使用 Graphviz 端口语法绘制协议工作流图。
- 若边上的 source_port/target_port 是 compassn/e/s/w/...),直接用 compass。
- 否则自动为节点创建 record 形状并定义命名端口 <portname>。
最终由 PyGraphviz 渲染并输出到 output_path后缀决定格式如 .png/.svg/.pdf
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
# 1) 先用 networkx 搭建有向图,保留端口属性
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
# 保留一个干净的“中心标签”,用于放在 record 的中间槽
G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
edges_data = []
in_ports_by_node = {} # 收集命名输入端口
out_ports_by_node = {} # 收集命名输出端口
for edge in protocol_graph.edges:
u = edge["source"]
v = edge["target"]
sp = edge.get("source_port")
tp = edge.get("target_port")
# 记录到图里(保留原始端口信息)
G.add_edge(u, v, source_port=sp, target_port=tp)
edges_data.append((u, v, sp, tp))
# 如果不是 compass就按“命名端口”先归类等会儿给节点造 record
if sp and not _is_compass(sp):
out_ports_by_node.setdefault(u, set()).add(str(sp))
if tp and not _is_compass(tp):
in_ports_by_node.setdefault(v, set()).add(str(tp))
# 2) 转为 AGraph使用 Graphviz 渲染
A = to_agraph(G)
A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
A.edge_attr.update(arrowsize="0.8", color="#666666")
# 3) 为需要命名端口的节点设置 record 形状与 label
# 左列 = 输入端口;中间 = 核心标签;右列 = 输出端口
for n in A.nodes():
node = A.get_node(n)
core = G.nodes[n].get("_core_label", n)
in_ports = sorted(in_ports_by_node.get(n, []))
out_ports = sorted(out_ports_by_node.get(n, []))
# 如果该节点涉及命名端口,则用 record否则保留原 box
if in_ports or out_ports:
def port_fields(ports):
if not ports:
return " " # 必须留一个空槽占位
# 每个端口一个小格子,<p> name
return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
left = port_fields(in_ports)
right = port_fields(out_ports)
# 三栏:左(入) | 中(节点名) | 右(出)
record_label = f"{{ {left} | {core} | {right} }}"
node.attr.update(shape="record", label=record_label)
else:
# 没有命名端口:普通盒子,显示核心标签
node.attr.update(label=str(core))
# 4) 给边设置 headport / tailport
# - 若端口为 compass直接用 compasse.g., headport="e"
# - 若端口为命名端口:使用在 record 中定义的 <port> 名(同名即可)
for (u, v, sp, tp) in edges_data:
e = A.get_edge(u, v)
# Graphviz 属性tail 是源head 是目标
if sp:
if _is_compass(sp):
e.attr["tailport"] = sp.lower()
else:
# 与 record label 中 <port> 名一致;特殊字符已在 label 中做了清洗
e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
if tp:
if _is_compass(tp):
e.attr["headport"] = tp.lower()
else:
e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
# 可选:若想让边更贴边缘,可设置 constraint/spline 等
# e.attr["arrowhead"] = "vee"
# 5) 输出
A.draw(output_path, prog="dot")
print(f" - Port-aware workflow rendered to '{output_path}'")
def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
"""展平嵌套的XDL程序结构"""
flattened_operations = []
TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
def extract_operations(element: ET.Element):
if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
flattened_operations.append(element)
for child in element:
extract_operations(child)
for child in procedure_elem:
extract_operations(child)
return flattened_operations
def parse_xdl_content(xdl_content: str) -> tuple:
"""解析XDL内容"""
try:
xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
root = ET.fromstring(xdl_content_cleaned)
synthesis_elem = root.find("Synthesis")
if synthesis_elem is None:
return None, None, None
# 解析硬件组件
hardware_elem = synthesis_elem.find("Hardware")
hardware = []
if hardware_elem is not None:
hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
# 解析试剂
reagents_elem = synthesis_elem.find("Reagents")
reagents = []
if reagents_elem is not None:
reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
# 解析程序
procedure_elem = synthesis_elem.find("Procedure")
if procedure_elem is None:
return None, None, None
flattened_operations = flatten_xdl_procedure(procedure_elem)
return hardware, reagents, flattened_operations
except ET.ParseError as e:
raise ValueError(f"Invalid XDL format: {e}")
def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
"""
将XDL XML格式转换为标准的字典格式
Args:
xdl_content: XDL XML内容
Returns:
转换结果,包含步骤和器材信息
"""
try:
hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
if hardware is None:
return {"error": "Failed to parse XDL content", "success": False}
# 将XDL元素转换为字典格式
steps_data = []
for elem in flattened_operations:
# 转换参数类型
parameters = {}
for key, val in elem.attrib.items():
converted_val = convert_to_type(val)
if converted_val is not None:
parameters[key] = converted_val
step_dict = {
"operation": elem.tag,
"parameters": parameters,
"description": elem.get("purpose", f"Operation: {elem.tag}"),
}
steps_data.append(step_dict)
# 合并硬件和试剂为统一的labware_info格式
labware_data = []
labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
return {
"success": True,
"steps": steps_data,
"labware": labware_data,
"message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
}
except Exception as e:
error_msg = f"XDL conversion failed: {str(e)}"
logger.error(error_msg)
return {"error": error_msg, "success": False}
def create_workflow(

View File

@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup(
name=package_name,
version='0.10.18',
version='0.10.17',
packages=find_packages(),
include_package_data=True,
install_requires=['setuptools'],

View File

@@ -1,213 +0,0 @@
{
"workflow": [
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines",
"targets": "Liquid_1",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines",
"targets": "Liquid_2",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines",
"targets": "Liquid_3",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_2",
"targets": "Liquid_4",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_2",
"targets": "Liquid_5",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_2",
"targets": "Liquid_6",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_3",
"targets": "dest_set",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_3",
"targets": "dest_set_2",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
},
{
"action": "transfer_liquid",
"action_args": {
"sources": "cell_lines_3",
"targets": "dest_set_3",
"asp_vol": 100.0,
"dis_vol": 74.75,
"asp_flow_rate": 94.0,
"dis_flow_rate": 95.5
}
}
],
"reagent": {
"Liquid_1": {
"slot": 1,
"well": [
"A4",
"A7",
"A10"
],
"labware": "rep 1"
},
"Liquid_4": {
"slot": 1,
"well": [
"A4",
"A7",
"A10"
],
"labware": "rep 1"
},
"dest_set": {
"slot": 1,
"well": [
"A4",
"A7",
"A10"
],
"labware": "rep 1"
},
"Liquid_2": {
"slot": 2,
"well": [
"A3",
"A5",
"A8"
],
"labware": "rep 2"
},
"Liquid_5": {
"slot": 2,
"well": [
"A3",
"A5",
"A8"
],
"labware": "rep 2"
},
"dest_set_2": {
"slot": 2,
"well": [
"A3",
"A5",
"A8"
],
"labware": "rep 2"
},
"Liquid_3": {
"slot": 3,
"well": [
"A4",
"A6",
"A10"
],
"labware": "rep 3"
},
"Liquid_6": {
"slot": 3,
"well": [
"A4",
"A6",
"A10"
],
"labware": "rep 3"
},
"dest_set_3": {
"slot": 3,
"well": [
"A4",
"A6",
"A10"
],
"labware": "rep 3"
},
"cell_lines": {
"slot": 4,
"well": [
"A1",
"A3",
"A5"
],
"labware": "DRUG + YOYO-MEDIA"
},
"cell_lines_2": {
"slot": 4,
"well": [
"A1",
"A3",
"A5"
],
"labware": "DRUG + YOYO-MEDIA"
},
"cell_lines_3": {
"slot": 4,
"well": [
"A1",
"A3",
"A5"
],
"labware": "DRUG + YOYO-MEDIA"
}
}
}

View File

@@ -1 +1 @@
__version__ = "0.10.18"
__version__ = "0.10.17"

View File

@@ -1,10 +1,8 @@
import argparse
import asyncio
import os
import platform
import shutil
import signal
import subprocess
import sys
import threading
import time
@@ -26,84 +24,6 @@ from unilabos.config.config import load_config, BasicConfig, HTTPConfig
_restart_requested: bool = False
_restart_reason: str = ""
RESTART_EXIT_CODE = 42
def _build_child_argv():
"""Build sys.argv for child process, stripping supervisor-only arguments."""
result = []
skip_next = False
for arg in sys.argv:
if skip_next:
skip_next = False
continue
if arg in ("--restart_mode", "--restart-mode"):
continue
if arg in ("--auto_restart_count", "--auto-restart-count"):
skip_next = True
continue
if arg.startswith("--auto_restart_count=") or arg.startswith("--auto-restart-count="):
continue
result.append(arg)
return result
def _run_as_supervisor(max_restarts: int):
"""
Supervisor process that spawns and monitors child processes.
Similar to Uvicorn's --reload: the supervisor itself does no heavy work,
it only launches the real process as a child and restarts it when the child
exits with RESTART_EXIT_CODE.
"""
child_argv = [sys.executable] + _build_child_argv()
restart_count = 0
print_status(
f"[Supervisor] Restart mode enabled (max restarts: {max_restarts}), "
f"child command: {' '.join(child_argv)}",
"info",
)
while True:
print_status(
f"[Supervisor] Launching process (restart {restart_count}/{max_restarts})...",
"info",
)
try:
process = subprocess.Popen(child_argv)
exit_code = process.wait()
except KeyboardInterrupt:
print_status("[Supervisor] Interrupted, terminating child process...", "info")
process.terminate()
try:
process.wait(timeout=10)
except subprocess.TimeoutExpired:
process.kill()
process.wait()
sys.exit(1)
if exit_code == RESTART_EXIT_CODE:
restart_count += 1
if restart_count > max_restarts:
print_status(
f"[Supervisor] Maximum restart count ({max_restarts}) reached, exiting",
"warning",
)
sys.exit(1)
print_status(
f"[Supervisor] Child requested restart ({restart_count}/{max_restarts}), restarting in 2s...",
"info",
)
time.sleep(2)
else:
if exit_code != 0:
print_status(f"[Supervisor] Child exited with code {exit_code}", "warning")
else:
print_status("[Supervisor] Child exited normally", "info")
sys.exit(exit_code)
def load_config_from_file(config_path):
if config_path is None:
@@ -145,13 +65,6 @@ def parse_args():
action="append",
help="Path to the registry directory",
)
parser.add_argument(
"--devices",
type=str,
default=None,
action="append",
help="Path to Python code directory for AST-based device/resource scanning",
)
parser.add_argument(
"--working_dir",
type=str,
@@ -241,6 +154,12 @@ def parse_args():
action="store_true",
help="Skip environment dependency check on startup",
)
parser.add_argument(
"--complete_registry",
action="store_true",
default=False,
help="Complete registry information",
)
parser.add_argument(
"--check_mode",
action="store_true",
@@ -252,30 +171,6 @@ def parse_args():
action="store_true",
help="Disable sending update feedback to server",
)
parser.add_argument(
"--test_mode",
action="store_true",
default=False,
help="Test mode: all actions simulate execution and return mock results without running real hardware",
)
parser.add_argument(
"--extra_resource",
action="store_true",
default=False,
help="Load extra lab_ prefixed labware resources (529 auto-generated definitions from lab_resources.py)",
)
parser.add_argument(
"--restart_mode",
action="store_true",
default=False,
help="Enable supervisor mode: automatically restart the process when triggered via WebSocket",
)
parser.add_argument(
"--auto_restart_count",
type=int,
default=500,
help="Maximum number of automatic restarts in restart mode (default: 500)",
)
# workflow upload subcommand
workflow_parser = subparsers.add_parser(
"workflow_upload",
@@ -309,12 +204,6 @@ def parse_args():
default=False,
help="Whether to publish the workflow (default: False)",
)
workflow_parser.add_argument(
"--description",
type=str,
default="",
help="Workflow description, used when publishing the workflow",
)
return parser
@@ -326,11 +215,6 @@ def main():
args = parser.parse_args()
args_dict = vars(args)
# Supervisor mode: spawn child processes and monitor for restart
if args_dict.get("restart_mode", False):
_run_as_supervisor(args_dict.get("auto_restart_count", 5))
return
# 环境检查 - 检查并自动安装必需的包 (可选)
skip_env_check = args_dict.get("skip_env_check", False)
check_mode = args_dict.get("check_mode", False)
@@ -347,60 +231,52 @@ def main():
# 加载配置文件优先加载config然后从env读取
config_path = args_dict.get("config")
# === 解析 working_dir ===
# 规则1: working_dir 传入 → 检测 unilabos_data 子目录,已是则不修改
# 规则2: 仅 config_path 传入 → 用其父目录作为 working_dir
# 规则4: 两者都传入 → 各用各的,但 working_dir 仍做 unilabos_data 子目录检测
raw_working_dir = args_dict.get("working_dir")
if raw_working_dir:
working_dir = os.path.abspath(raw_working_dir)
elif config_path and os.path.exists(config_path):
working_dir = os.path.dirname(os.path.abspath(config_path))
else:
if check_mode:
args_dict["working_dir"] = os.path.abspath(os.getcwd())
# 当 skip_env_check 时,默认使用当前目录作为 working_dir
if skip_env_check and not args_dict.get("working_dir") and not config_path:
working_dir = os.path.abspath(os.getcwd())
# unilabos_data 子目录自动检测
if os.path.basename(working_dir) != "unilabos_data":
unilabos_data_sub = os.path.join(working_dir, "unilabos_data")
if os.path.isdir(unilabos_data_sub):
working_dir = unilabos_data_sub
elif not raw_working_dir and not (config_path and os.path.exists(config_path)):
# 未显式指定路径,默认使用 cwd/unilabos_data
working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
# === 解析 config_path ===
if config_path and not os.path.exists(config_path):
# config_path 传入但不存在,尝试在 working_dir 中查找
candidate = os.path.join(working_dir, "local_config.py")
if os.path.exists(candidate):
config_path = candidate
print_status(f"在工作目录中发现配置文件: {config_path}", "info")
else:
print_status(
f"配置文件 {config_path} 不存在,工作目录 {working_dir} 中也未找到 local_config.py"
f"请通过 --config 传入 local_config.py 文件路径",
"error",
)
os._exit(1)
elif not config_path:
# 规则3: 未传入 config_path尝试 working_dir/local_config.py
candidate = os.path.join(working_dir, "local_config.py")
if os.path.exists(candidate):
config_path = candidate
print_status(f"跳过环境检查模式:使用当前目录作为工作目录 {working_dir}", "info")
# 检查当前目录是否有 local_config.py
local_config_in_cwd = os.path.join(working_dir, "local_config.py")
if os.path.exists(local_config_in_cwd):
config_path = local_config_in_cwd
print_status(f"发现本地配置文件: {config_path}", "info")
else:
print_status(f"未指定config路径可通过 --config 传入 local_config.py 文件路径", "info")
print_status(f"您是否为第一次使用?并将当前路径 {working_dir} 作为工作目录? (Y/n)", "info")
if check_mode or input() != "n":
os.makedirs(working_dir, exist_ok=True)
config_path = os.path.join(working_dir, "local_config.py")
shutil.copy(
os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"),
config_path,
elif os.getcwd().endswith("unilabos_data"):
working_dir = os.path.abspath(os.getcwd())
else:
working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
if args_dict.get("working_dir"):
working_dir = args_dict.get("working_dir", "")
if config_path and not os.path.exists(config_path):
config_path = os.path.join(working_dir, "local_config.py")
if not os.path.exists(config_path):
print_status(
f"当前工作目录 {working_dir} 未找到local_config.py请通过 --config 传入 local_config.py 文件路径",
"error",
)
print_status(f"已创建 local_config.py 路径: {config_path}", "info")
else:
os._exit(1)
elif config_path and os.path.exists(config_path):
working_dir = os.path.dirname(config_path)
elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
config_path = os.path.join(working_dir, "local_config.py")
elif not skip_env_check and not config_path and (
not os.path.exists(working_dir) or not os.path.exists(os.path.join(working_dir, "local_config.py"))
):
print_status(f"未指定config路径可通过 --config 传入 local_config.py 文件路径", "info")
print_status(f"您是否为第一次使用?并将当前路径 {working_dir} 作为工作目录? (Y/n)", "info")
if input() != "n":
os.makedirs(working_dir, exist_ok=True)
config_path = os.path.join(working_dir, "local_config.py")
shutil.copy(
os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"), config_path
)
print_status(f"已创建 local_config.py 路径: {config_path}", "info")
else:
os._exit(1)
# 加载配置文件 (check_mode 跳过)
print_status(f"当前工作目录为 {working_dir}", "info")
@@ -412,9 +288,7 @@ def main():
if hasattr(BasicConfig, "log_level"):
logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.")
file_path = configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
if file_path is not None:
logger.info(f"[LOG_FILE] {file_path}")
configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
if args.addr != parser.get_default("addr"):
if args.addr == "test":
@@ -458,14 +332,8 @@ def main():
BasicConfig.slave_no_host = args_dict.get("slave_no_host", False)
BasicConfig.upload_registry = args_dict.get("upload_registry", False)
BasicConfig.no_update_feedback = args_dict.get("no_update_feedback", False)
BasicConfig.test_mode = args_dict.get("test_mode", False)
if BasicConfig.test_mode:
print_status("启用测试模式:所有动作将模拟执行,不调用真实硬件", "warning")
BasicConfig.extra_resource = args_dict.get("extra_resource", False)
if BasicConfig.extra_resource:
print_status("启用额外资源加载将加载lab_开头的labware资源定义", "info")
BasicConfig.communication_protocol = "websocket"
machine_name = platform.node()
machine_name = os.popen("hostname").read().strip()
machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
BasicConfig.machine_name = machine_name
BasicConfig.vis_2d_enable = args_dict["2d_vis"]
@@ -488,30 +356,22 @@ def main():
# 显示启动横幅
print_unilab_banner(args_dict)
# Step 0: AST 分析优先 + YAML 注册表加载
# check_mode 和 upload_registry 都会执行实际 import 验证
devices_dirs = args_dict.get("devices", None)
lab_registry = build_registry(
registry_paths=args_dict["registry_path"],
devices_dirs=devices_dirs,
upload_registry=BasicConfig.upload_registry,
check_mode=check_mode,
)
# 注册表 - check_mode 时强制启用 complete_registry
complete_registry = args_dict.get("complete_registry", False) or check_mode
lab_registry = build_registry(args_dict["registry_path"], complete_registry, BasicConfig.upload_registry)
# Check mode: 注册表验证完成后直接退出
# Check mode: complete_registry 完成后直接退出git diff 检测由 CI workflow 执行
if check_mode:
device_count = len(lab_registry.device_type_registry)
resource_count = len(lab_registry.resource_type_registry)
print_status(f"Check mode: 注册表验证完成 ({device_count} 设备, {resource_count} 资源),退出", "info")
print_status("Check mode: complete_registry 完成,退出", "info")
os._exit(0)
# Step 1: 上传全部注册表到服务端,同步保存到 unilabos_data
if BasicConfig.upload_registry:
# 设备注册到服务端 - 需要 ak 和 sk
if BasicConfig.ak and BasicConfig.sk:
# print_status("开始注册设备到服务端...", "info")
print_status("开始注册设备到服务端...", "info")
try:
register_devices_and_resources(lab_registry)
# print_status("设备注册完成", "info")
print_status("设备注册完成", "info")
except Exception as e:
print_status(f"设备注册失败: {e}", "error")
else:
@@ -596,7 +456,7 @@ def main():
continue
# 如果从远端获取了物料信息,则与本地物料进行同步
if file_path is not None and request_startup_json and "nodes" in request_startup_json:
if request_startup_json and "nodes" in request_startup_json:
print_status("开始同步远端物料到本地...", "info")
remote_tree_set = ResourceTreeSet.from_raw_dict_list(request_startup_json["nodes"])
resource_tree_set.merge_remote_resources(remote_tree_set)
@@ -693,10 +553,6 @@ def main():
open_browser=not args_dict["disable_browser"],
port=BasicConfig.port,
)
if restart_requested:
print_status("[Main] Restart requested, cleaning up...", "info")
cleanup_for_restart()
os._exit(RESTART_EXIT_CODE)
if __name__ == "__main__":

View File

@@ -54,7 +54,6 @@ class JobAddReq(BaseModel):
action_type: str = Field(
examples=["unilabos_msgs.action._str_single_input.StrSingleInput"], description="action type", default=""
)
sample_material: dict = Field(examples=[{"string": "string"}], description="sample uuid to material uuid")
action_args: dict = Field(examples=[{"string": "string"}], description="action arguments", default_factory=dict)
task_id: str = Field(examples=["task_id"], description="task uuid (auto-generated if empty)", default="")
job_id: str = Field(examples=["job_id"], description="goal uuid (auto-generated if empty)", default="")

View File

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

View File

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

View File

@@ -3,30 +3,11 @@ HTTP客户端模块
提供与远程服务器通信的客户端功能只有host需要用
"""
import gzip
import json
import os
from typing import List, Dict, Any, Optional
try:
import orjson as _json_fast
def _fast_dumps(obj, **kwargs) -> bytes:
return _json_fast.dumps(obj, option=_json_fast.OPT_NON_STR_KEYS, default=str)
def _fast_dumps_pretty(obj, **kwargs) -> bytes:
return _json_fast.dumps(
obj, option=_json_fast.OPT_NON_STR_KEYS | _json_fast.OPT_INDENT_2, default=str,
)
except ImportError:
_json_fast = None # type: ignore[assignment]
def _fast_dumps(obj, **kwargs) -> bytes:
return json.dumps(obj, ensure_ascii=False, default=str).encode("utf-8")
def _fast_dumps_pretty(obj, **kwargs) -> bytes:
return json.dumps(obj, indent=2, ensure_ascii=False, default=str).encode("utf-8")
import requests
from unilabos.resources.resource_tracker import ResourceTreeSet
from unilabos.utils.log import info
@@ -93,8 +74,7 @@ class HTTPClient:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
f.write(json.dumps({"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧UUID
old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
if not self.initialized or first_add:
@@ -299,54 +279,22 @@ class HTTPClient:
)
return response
def resource_registry(
self, registry_data: Dict[str, Any] | List[Dict[str, Any]], tag: str = "registry",
) -> requests.Response:
def resource_registry(self, registry_data: Dict[str, Any] | List[Dict[str, Any]]) -> requests.Response:
"""
注册资源到服务器,同步保存请求/响应到 unilabos_data
注册资源到服务器
Args:
registry_data: 注册表数据,格式为 {resource_id: resource_info} / [{resource_info}]
tag: 保存文件的标签后缀 (如 "device_registry" / "resource_registry")
Returns:
Response: API响应对象
"""
# 序列化一次,同时用于保存和发送
json_bytes = _fast_dumps(registry_data)
# 保存请求数据到 unilabos_data
req_path = os.path.join(BasicConfig.working_dir, f"req_{tag}_upload.json")
try:
os.makedirs(BasicConfig.working_dir, exist_ok=True)
with open(req_path, "wb") as f:
f.write(_fast_dumps_pretty(registry_data))
logger.trace(f"注册表请求数据已保存: {req_path}")
except Exception as e:
logger.warning(f"保存注册表请求数据失败: {e}")
compressed_body = gzip.compress(json_bytes)
headers = {
"Authorization": f"Lab {self.auth}",
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = requests.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers=headers,
json=registry_data,
headers={"Authorization": f"Lab {self.auth}"},
timeout=30,
)
# 保存响应数据到 unilabos_data
res_path = os.path.join(BasicConfig.working_dir, f"res_{tag}_upload.json")
try:
with open(res_path, "w", encoding="utf-8") as f:
f.write(f"{response.status_code}\n{response.text}")
logger.trace(f"注册表响应数据已保存: {res_path}")
except Exception as e:
logger.warning(f"保存注册表响应数据失败: {e}")
if response.status_code not in [200, 201]:
logger.error(f"注册资源失败: {response.status_code}, {response.text}")
if response.status_code == 200:
@@ -385,106 +333,6 @@ class HTTPClient:
logger.error(f"响应内容: {response.text}")
return None
def workflow_import(
self,
name: str,
workflow_uuid: str,
workflow_name: str,
nodes: List[Dict[str, Any]],
edges: List[Dict[str, Any]],
tags: Optional[List[str]] = None,
published: bool = False,
description: str = "",
) -> Dict[str, Any]:
"""
导入工作流到服务器,如果 published 为 True则额外发起发布请求
Args:
name: 工作流名称(顶层)
workflow_uuid: 工作流UUID
workflow_name: 工作流名称data内部
nodes: 工作流节点列表
edges: 工作流边列表
tags: 工作流标签列表,默认为空列表
published: 是否发布工作流默认为False
description: 工作流描述,发布时使用
Returns:
Dict: API响应数据包含 code 和 data (uuid, name)
"""
payload = {
"name": name,
"data": {
"workflow_uuid": workflow_uuid,
"workflow_name": workflow_name,
"nodes": nodes,
"edges": edges,
"tags": tags if tags is not None else [],
},
}
# 保存请求到文件
with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(json.dumps(payload, indent=4, ensure_ascii=False))
response = requests.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},
timeout=60,
)
# 保存响应到文件
with open(os.path.join(BasicConfig.working_dir, "res_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(f"{response.status_code}" + "\n" + response.text)
if response.status_code == 200:
res = response.json()
if "code" in res and res["code"] != 0:
logger.error(f"导入工作流失败: {response.text}")
return res
# 导入成功后,如果需要发布则额外发起发布请求
if published:
imported_uuid = res.get("data", {}).get("uuid", workflow_uuid)
publish_res = self.workflow_publish(imported_uuid, description)
res["publish_result"] = publish_res
return res
else:
logger.error(f"导入工作流失败: {response.status_code}, {response.text}")
return {"code": response.status_code, "message": response.text}
def workflow_publish(self, workflow_uuid: str, description: str = "") -> Dict[str, Any]:
"""
发布工作流
Args:
workflow_uuid: 工作流UUID
description: 工作流描述
Returns:
Dict: API响应数据
"""
payload = {
"uuid": workflow_uuid,
"description": description,
"published": True,
}
logger.info(f"正在发布工作流: {workflow_uuid}")
response = requests.patch(
f"{self.remote_addr}/lab/workflow/owner",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},
timeout=60,
)
if response.status_code == 200:
res = response.json()
if "code" in res and res["code"] != 0:
logger.error(f"发布工作流失败: {response.text}")
else:
logger.info(f"工作流发布成功: {workflow_uuid}")
return res
else:
logger.error(f"发布工作流失败: {response.status_code}, {response.text}")
return {"code": response.status_code, "message": response.text}
# 创建默认客户端实例
http_client = HTTPClient()

View File

@@ -327,7 +327,6 @@ def job_add(req: JobAddReq) -> JobData:
queue_item,
action_type=action_type,
action_kwargs=action_args,
sample_material=req.sample_material,
server_info=server_info,
)

View File

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

View File

@@ -26,7 +26,6 @@ from enum import Enum
from typing_extensions import TypedDict
from unilabos.app.model import JobAddReq
from unilabos.resources.resource_tracker import ResourceDictType
from unilabos.ros.nodes.presets.host_node import HostNode
from unilabos.utils.type_check import serialize_result_info
from unilabos.app.communication import BaseCommunicationClient
@@ -77,7 +76,6 @@ class JobInfo:
start_time: float
last_update_time: float = field(default_factory=time.time)
ready_timeout: Optional[float] = None # READY状态的超时时间
always_free: bool = False # 是否为永久闲置动作(不受排队限制)
def update_timestamp(self):
"""更新最后更新时间"""
@@ -129,15 +127,6 @@ class DeviceActionManager:
# 总是将job添加到all_jobs中
self.all_jobs[job_info.job_id] = job_info
# always_free的动作不受排队限制直接设为READY
if job_info.always_free:
job_info.status = JobStatus.READY
job_info.update_timestamp()
job_info.set_ready_timeout(10)
job_log = format_job_log(job_info.job_id, job_info.task_id, job_info.device_id, job_info.action_name)
logger.trace(f"[DeviceActionManager] Job {job_log} always_free, start immediately")
return True
# 检查是否有正在执行或准备执行的任务
if device_key in self.active_jobs:
# 有正在执行或准备执行的任务,加入队列
@@ -187,15 +176,11 @@ class DeviceActionManager:
logger.error(f"[DeviceActionManager] Job {job_log} is not in READY status, current: {job_info.status}")
return False
# always_free的job不需要检查active_jobs
if not job_info.always_free:
# 检查设备上是否是这个job
if device_key not in self.active_jobs or self.active_jobs[device_key].job_id != job_id:
job_log = format_job_log(
job_info.job_id, job_info.task_id, job_info.device_id, job_info.action_name
)
logger.error(f"[DeviceActionManager] Job {job_log} is not the active job for {device_key}")
return False
# 检查设备上是否是这个job
if device_key not in self.active_jobs or self.active_jobs[device_key].job_id != job_id:
job_log = format_job_log(job_info.job_id, job_info.task_id, job_info.device_id, job_info.action_name)
logger.error(f"[DeviceActionManager] Job {job_log} is not the active job for {device_key}")
return False
# 开始执行任务将状态从READY转换为STARTED
job_info.status = JobStatus.STARTED
@@ -218,13 +203,6 @@ class DeviceActionManager:
job_info = self.all_jobs[job_id]
device_key = job_info.device_action_key
# always_free的job直接清理不影响队列
if job_info.always_free:
job_info.status = JobStatus.ENDED
job_info.update_timestamp()
del self.all_jobs[job_id]
return None
# 移除活跃任务
if device_key in self.active_jobs and self.active_jobs[device_key].job_id == job_id:
del self.active_jobs[device_key]
@@ -256,14 +234,9 @@ class DeviceActionManager:
return None
def get_active_jobs(self) -> List[JobInfo]:
"""获取所有正在执行的任务(含active_jobs和always_free的STARTED job)"""
"""获取所有正在执行的任务"""
with self.lock:
jobs = list(self.active_jobs.values())
# 补充 always_free 的 STARTED job(它们不在 active_jobs 中)
for job in self.all_jobs.values():
if job.always_free and job.status == JobStatus.STARTED and job not in jobs:
jobs.append(job)
return jobs
return list(self.active_jobs.values())
def get_queued_jobs(self) -> List[JobInfo]:
"""获取所有排队中的任务"""
@@ -288,14 +261,6 @@ class DeviceActionManager:
job_info = self.all_jobs[job_id]
device_key = job_info.device_action_key
# always_free的job直接清理
if job_info.always_free:
job_info.status = JobStatus.ENDED
del self.all_jobs[job_id]
job_log = format_job_log(job_info.job_id, job_info.task_id, job_info.device_id, job_info.action_name)
logger.trace(f"[DeviceActionManager] Always-free job {job_log} cancelled")
return True
# 如果是正在执行的任务
if device_key in self.active_jobs and self.active_jobs[device_key].job_id == job_id:
# 清理active job状态
@@ -369,18 +334,13 @@ class DeviceActionManager:
timeout_jobs = []
with self.lock:
# 收集所有需要检查的 READY 任务(active_jobs + always_free READY jobs)
ready_candidates = list(self.active_jobs.values())
for job in self.all_jobs.values():
if job.always_free and job.status == JobStatus.READY and job not in ready_candidates:
ready_candidates.append(job)
ready_jobs_count = sum(1 for job in ready_candidates if job.status == JobStatus.READY)
# 统计READY状态的任务数量
ready_jobs_count = sum(1 for job in self.active_jobs.values() if job.status == JobStatus.READY)
if ready_jobs_count > 0:
logger.trace(f"[DeviceActionManager] Checking {ready_jobs_count} READY jobs for timeout") # type: ignore # noqa: E501
# 找到所有超时的READY任务只检测不处理
for job_info in ready_candidates:
for job_info in self.active_jobs.values():
if job_info.is_ready_timeout():
timeout_jobs.append(job_info)
job_log = format_job_log(
@@ -409,7 +369,6 @@ class MessageProcessor:
# 线程控制
self.is_running = False
self.thread = None
self._loop = None # asyncio event loop引用用于外部关闭websocket
self.reconnect_count = 0
logger.info(f"[MessageProcessor] Initialized for URL: {websocket_url}")
@@ -436,31 +395,22 @@ class MessageProcessor:
def stop(self) -> None:
"""停止消息处理线程"""
self.is_running = False
# 主动关闭websocket以快速中断消息接收循环
ws = self.websocket
loop = self._loop
if ws and loop and loop.is_running():
try:
asyncio.run_coroutine_threadsafe(ws.close(), loop)
except Exception:
pass
if self.thread and self.thread.is_alive():
self.thread.join(timeout=2)
logger.info("[MessageProcessor] Stopped")
def _run(self):
"""运行消息处理主循环"""
self._loop = asyncio.new_event_loop()
loop = asyncio.new_event_loop()
try:
asyncio.set_event_loop(self._loop)
self._loop.run_until_complete(self._connection_handler())
asyncio.set_event_loop(loop)
loop.run_until_complete(self._connection_handler())
except Exception as e:
logger.error(f"[MessageProcessor] Thread error: {str(e)}")
logger.error(traceback.format_exc())
finally:
if self._loop:
self._loop.close()
self._loop = None
if loop:
loop.close()
async def _connection_handler(self):
"""处理WebSocket连接和重连逻辑"""
@@ -477,10 +427,8 @@ class MessageProcessor:
async with websockets.connect(
self.websocket_url,
ssl=ssl_context,
open_timeout=20,
ping_interval=WSConfig.ping_interval,
ping_timeout=10,
close_timeout=5,
additional_headers={
"Authorization": f"Lab {BasicConfig.auth_secret()}",
"EdgeSession": f"{self.session_id}",
@@ -491,98 +439,85 @@ class MessageProcessor:
self.connected = True
self.reconnect_count = 0
logger.info(f"[MessageProcessor] 已连接到 {self.websocket_url}")
logger.info(f"[MessageProcessor] Connected to {self.websocket_url}")
# 启动发送协程
send_task = asyncio.create_task(self._send_handler(), name="websocket-send_task")
# 每次连接(含重连)后重新向服务端注册,
# 否则服务端不知道客户端已上线,不会推送消息。
if self.websocket_client:
self.websocket_client.publish_host_ready()
send_task = asyncio.create_task(self._send_handler())
try:
# 接收消息循环
await self._message_handler()
finally:
# 必须在 async with __aexit__ 之前停止 send_task
# 否则 send_task 会在关闭握手期间继续发送数据,
# 干扰 websockets 库的内部清理,导致 task 泄漏。
self.connected = False
send_task.cancel()
try:
await send_task
except asyncio.CancelledError:
pass
self.connected = False
except websockets.exceptions.ConnectionClosed:
logger.warning("[MessageProcessor] 与服务端连接中断")
except TimeoutError:
logger.warning(
f"[MessageProcessor] 与服务端连接通信超时 (已尝试 {self.reconnect_count + 1} 次),请检查您的网络状况"
)
except websockets.exceptions.InvalidStatus as e:
logger.warning(
f"[MessageProcessor] 收到服务端注册码 {e.response.status_code}, 上一进程可能还未退出"
)
except Exception as e:
logger.error(traceback.format_exc())
logger.error(f"[MessageProcessor] 尝试重连时出错 {str(e)}")
finally:
logger.warning("[MessageProcessor] Connection closed")
self.connected = False
except Exception as e:
logger.error(f"[MessageProcessor] Connection error: {str(e)}")
logger.error(traceback.format_exc())
self.connected = False
finally:
self.websocket = None
# 重连逻辑
if not self.is_running:
break
if self.reconnect_count < WSConfig.max_reconnect_attempts:
if self.is_running and self.reconnect_count < WSConfig.max_reconnect_attempts:
self.reconnect_count += 1
backoff = WSConfig.reconnect_interval
logger.info(
f"[MessageProcessor] 即将在 {backoff} 秒后重连 (已尝试 {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
f"[MessageProcessor] Reconnecting in {WSConfig.reconnect_interval}s "
f"(attempt {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
)
await asyncio.sleep(backoff)
else:
await asyncio.sleep(WSConfig.reconnect_interval)
elif self.reconnect_count >= WSConfig.max_reconnect_attempts:
logger.error("[MessageProcessor] Max reconnection attempts reached")
break
else:
self.reconnect_count -= 1
async def _message_handler(self):
"""处理接收到的消息
ConnectionClosed 不在此处捕获,让其向上传播到 _connection_handler
以便 async with websockets.connect() 的 __aexit__ 能感知连接已断,
正确清理内部 task避免 task 泄漏。
"""
"""处理接收到的消息"""
if not self.websocket:
logger.error("[MessageProcessor] WebSocket connection is None")
return
async for message in self.websocket:
try:
data = json.loads(message)
message_type = data.get("action", "")
message_data = data.get("data")
if self.session_id and self.session_id == data.get("edge_session"):
await self._process_message(message_type, message_data)
else:
if message_type.endswith("_material"):
logger.trace(
f"[MessageProcessor] 收到一条归属 {data.get('edge_session')} 的旧消息:{data}"
)
logger.debug(
f"[MessageProcessor] 跳过了一条归属 {data.get('edge_session')} 的旧消息: {data.get('action')}"
)
else:
try:
async for message in self.websocket:
try:
data = json.loads(message)
message_type = data.get("action", "")
message_data = data.get("data")
if self.session_id and self.session_id == data.get("edge_session"):
await self._process_message(message_type, message_data)
except json.JSONDecodeError:
logger.error(f"[MessageProcessor] Invalid JSON received: {message}")
except Exception as e:
logger.error(f"[MessageProcessor] Error processing message: {str(e)}")
logger.error(traceback.format_exc())
else:
if message_type.endswith("_material"):
logger.trace(
f"[MessageProcessor] 收到一条归属 {data.get('edge_session')} 的旧消息:{data}"
)
logger.debug(
f"[MessageProcessor] 跳过了一条归属 {data.get('edge_session')} 的旧消息: {data.get('action')}"
)
else:
await self._process_message(message_type, message_data)
except json.JSONDecodeError:
logger.error(f"[MessageProcessor] Invalid JSON received: {message}")
except Exception as e:
logger.error(f"[MessageProcessor] Error processing message: {str(e)}")
logger.error(traceback.format_exc())
except websockets.exceptions.ConnectionClosed:
logger.info("[MessageProcessor] Message handler stopped - connection closed")
except Exception as e:
logger.error(f"[MessageProcessor] Message handler error: {str(e)}")
logger.error(traceback.format_exc())
async def _send_handler(self):
"""处理发送队列中的消息"""
logger.trace("[MessageProcessor] Send handler started")
logger.debug("[MessageProcessor] Send handler started")
try:
while self.connected and self.websocket:
@@ -610,7 +545,7 @@ class MessageProcessor:
try:
message_str = json.dumps(msg, ensure_ascii=False)
await self.websocket.send(message_str)
# logger.trace(f"[MessageProcessor] Message sent: {msg.get('action', 'unknown')}") # type: ignore # noqa: E501
logger.trace(f"[MessageProcessor] Message sent: {msg.get('action', 'unknown')}") # type: ignore # noqa: E501
except Exception as e:
logger.error(f"[MessageProcessor] Failed to send message: {str(e)}")
logger.error(traceback.format_exc())
@@ -627,7 +562,6 @@ class MessageProcessor:
except asyncio.CancelledError:
logger.debug("[MessageProcessor] Send handler cancelled")
raise
except Exception as e:
logger.error(f"[MessageProcessor] Fatal error in send handler: {str(e)}")
logger.error(traceback.format_exc())
@@ -659,10 +593,6 @@ class MessageProcessor:
# elif message_type == "session_id":
# self.session_id = message_data.get("session_id")
# logger.info(f"[MessageProcessor] Session ID: {self.session_id}")
elif message_type == "add_device":
await self._handle_device_manage(message_data, "add")
elif message_type == "remove_device":
await self._handle_device_manage(message_data, "remove")
elif message_type == "request_restart":
await self._handle_request_restart(message_data)
else:
@@ -678,24 +608,6 @@ class MessageProcessor:
if host_node:
host_node.handle_pong_response(pong_data)
def _check_action_always_free(self, device_id: str, action_name: str) -> bool:
"""检查该action是否标记为always_free通过HostNode统一的_action_value_mappings查找"""
try:
host_node = HostNode.get_instance(0)
if not host_node:
return False
# noinspection PyProtectedMember
action_mappings = host_node._action_value_mappings.get(device_id)
if not action_mappings:
return False
# 尝试直接匹配或 auto- 前缀匹配
for key in [action_name, f"auto-{action_name}"]:
if key in action_mappings:
return action_mappings[key].get("always_free", False)
return False
except Exception:
return False
async def _handle_query_action_state(self, data: Dict[str, Any]):
"""处理query_action_state消息"""
device_id = data.get("device_id", "")
@@ -710,9 +622,6 @@ class MessageProcessor:
device_action_key = f"/devices/{device_id}/{action_name}"
# 检查action是否为always_free
action_always_free = self._check_action_always_free(device_id, action_name)
# 创建任务信息
job_info = JobInfo(
job_id=job_id,
@@ -722,7 +631,6 @@ class MessageProcessor:
device_action_key=device_action_key,
status=JobStatus.QUEUE,
start_time=time.time(),
always_free=action_always_free,
)
# 添加到设备管理器
@@ -749,8 +657,6 @@ class MessageProcessor:
async def _handle_job_start(self, data: Dict[str, Any]):
"""处理job_start消息"""
try:
if not data.get("sample_material"):
data["sample_material"] = {}
req = JobAddReq(**data)
job_log = format_job_log(req.job_id, req.task_id, req.device_id, req.action)
@@ -782,7 +688,6 @@ class MessageProcessor:
queue_item,
action_type=req.action_type,
action_kwargs=req.action_args,
sample_material=req.sample_material,
server_info=req.server_info,
)
@@ -999,37 +904,6 @@ class MessageProcessor:
)
thread.start()
async def _handle_device_manage(self, device_list: list[ResourceDictType], action: str):
"""Handle add_device / remove_device from LabGo server."""
if not device_list:
return
for item in device_list:
target_node_id = item.get("target_node_id", "host_node")
def _notify(target_id: str, act: str, cfg: ResourceDictType):
try:
host_node = HostNode.get_instance(timeout=5)
if not host_node:
logger.error(f"[DeviceManage] HostNode not available for {act}_device")
return
success = host_node.notify_device_manage(target_id, act, cfg)
if success:
logger.info(f"[DeviceManage] {act}_device completed on {target_id}")
else:
logger.warning(f"[DeviceManage] {act}_device failed on {target_id}")
except Exception as e:
logger.error(f"[DeviceManage] Error in {act}_device: {e}")
logger.error(traceback.format_exc())
thread = threading.Thread(
target=_notify,
args=(target_node_id, action, item),
daemon=True,
name=f"DeviceManage-{action}-{item.get('id', '')}",
)
thread.start()
async def _handle_request_restart(self, data: Dict[str, Any]):
"""
处理重启请求
@@ -1041,9 +915,10 @@ class MessageProcessor:
logger.info(f"[MessageProcessor] Received restart request, reason: {reason}, delay: {delay}s")
# 发送确认消息
self.send_message(
{"action": "restart_acknowledged", "data": {"reason": reason, "delay": delay}}
)
if self.websocket_client:
await self.websocket_client.send_message(
{"action": "restart_acknowledged", "data": {"reason": reason, "delay": delay}}
)
# 设置全局重启标志
import unilabos.app.main as main_module
@@ -1145,14 +1020,13 @@ class QueueProcessor:
def stop(self) -> None:
"""停止队列处理线程"""
self.is_running = False
self.queue_update_event.set() # 立即唤醒等待中的线程
if self.thread and self.thread.is_alive():
self.thread.join(timeout=2)
logger.info("[QueueProcessor] Stopped")
def _run(self):
"""运行队列处理主循环"""
logger.trace("[QueueProcessor] Queue processor started")
logger.debug("[QueueProcessor] Queue processor started")
while self.is_running:
try:
@@ -1246,11 +1120,6 @@ class QueueProcessor:
logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
for job_info in queued_jobs:
# 快照可能已过期:在遍历过程中 end_job() 可能已将此 job 移至 READY
# 此时不应再发送 busy/need_more否则会覆盖已发出的 free=True 通知
if job_info.status != JobStatus.QUEUE:
continue
message = {
"action": "report_action_state",
"data": {
@@ -1367,6 +1236,7 @@ class WebSocketClient(BaseCommunicationClient):
else:
url = f"{scheme}://{parsed.netloc}/api/v1/ws/schedule"
logger.debug(f"[WebSocketClient] URL: {url}")
return url
def start(self) -> None:
@@ -1379,11 +1249,13 @@ class WebSocketClient(BaseCommunicationClient):
logger.error("[WebSocketClient] WebSocket URL not configured")
return
logger.info(f"[WebSocketClient] Starting connection to {self.websocket_url}")
# 启动两个核心线程
self.message_processor.start()
self.queue_processor.start()
logger.trace("[WebSocketClient] All threads started")
logger.info("[WebSocketClient] All threads started")
def stop(self) -> None:
"""停止WebSocket客户端"""
@@ -1399,8 +1271,8 @@ class WebSocketClient(BaseCommunicationClient):
message = {"action": "normal_exit", "data": {"session_id": session_id}}
self.message_processor.send_message(message)
logger.info(f"[WebSocketClient] Sent normal_exit message with session_id: {session_id}")
# send_handler 每100ms检查一次队列等300ms足以让消息发
time.sleep(0.3)
# 给一点时间让消息发送出去
time.sleep(1)
except Exception as e:
logger.warning(f"[WebSocketClient] Failed to send normal_exit message: {str(e)}")
@@ -1432,7 +1304,7 @@ class WebSocketClient(BaseCommunicationClient):
},
}
self.message_processor.send_message(message)
# logger.trace(f"[WebSocketClient] Device status published: {device_id}.{property_name}")
logger.trace(f"[WebSocketClient] Device status published: {device_id}.{property_name}")
def publish_job_status(
self, feedback_data: dict, item: QueueItem, status: str, return_info: Optional[dict] = None

View File

@@ -95,29 +95,8 @@ def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
return total_volume
def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
"""
判断是否为泵阀一体设备
"""
class_lower = (node_class or "").lower()
name_lower = (node_name or "").lower()
if "pump" not in class_lower and "pump" not in name_lower:
return False
integrated_markers = [
"valve",
"pump_valve",
"pumpvalve",
"integrated",
"transfer_pump",
]
for marker in integrated_markers:
if marker in class_lower or marker in name_lower:
return True
return False
def is_integrated_pump(node_name):
return "pump" in node_name and "valve" in node_name
def find_connected_pump(G, valve_node):
@@ -207,9 +186,7 @@ def build_pump_valve_maps(G, pump_backbone):
debug_print(f"🔧 过滤后的骨架: {filtered_backbone}")
for node in filtered_backbone:
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
if is_integrated_pump(node_class, node):
if is_integrated_pump(G.nodes[node]["class"]):
pumps_from_node[node] = node
valve_from_node[node] = node
debug_print(f" - 集成泵-阀: {node}")

View File

@@ -23,8 +23,6 @@ class BasicConfig:
disable_browser = False # 禁止浏览器自动打开
port = 8002 # 本地HTTP服务
check_mode = False # CI 检查模式,用于验证 registry 导入和文件一致性
test_mode = False # 测试模式,所有动作不实际执行,返回模拟结果
extra_resource = False # 是否加载lab_开头的额外资源
# 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
log_level: Literal["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
@@ -41,7 +39,7 @@ class BasicConfig:
class WSConfig:
reconnect_interval = 5 # 重连间隔(秒)
max_reconnect_attempts = 999 # 最大重连次数
ping_interval = 20 # ping间隔
ping_interval = 30 # ping间隔
# HTTP配置
@@ -147,5 +145,5 @@ def load_config(config_path=None):
traceback.print_exc()
exit(1)
else:
config_path = os.path.join(os.path.dirname(__file__), "example_config.py")
config_path = os.path.join(os.path.dirname(__file__), "local_config.py")
load_config(config_path)

View File

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

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -19,11 +19,10 @@ from rclpy.node import Node
import re
class LiquidHandlerJointPublisher(BaseROS2DeviceNode):
def __init__(self,resources_config:list, resource_tracker, rate=50, device_id:str = "lh_joint_publisher", registry_name: str = "lh_joint_publisher", **kwargs):
def __init__(self,resources_config:list, resource_tracker, rate=50, device_id:str = "lh_joint_publisher", **kwargs):
super().__init__(
driver_instance=self,
device_id=device_id,
registry_name=registry_name,
status_types={},
action_value_mappings={},
hardware_interface={},

View File

@@ -15,35 +15,35 @@ class VirtualPumpMode(Enum):
class VirtualTransferPump:
"""虚拟转移泵类 - 模拟泵的基本功能,无需实际硬件 🚰"""
_ros_node: BaseROS2DeviceNode
def __init__(self, device_id: str = None, config: dict = None, **kwargs):
"""
初始化虚拟转移泵
Args:
device_id: 设备ID
config: 配置字典包含max_volume, port等参数
**kwargs: 其他参数,确保兼容性
"""
self.device_id = device_id or "virtual_transfer_pump"
# 从config或kwargs中获取参数确保类型正确
if config:
self.max_volume = float(config.get("max_volume", 25.0))
self.port = config.get("port", "VIRTUAL")
self.max_volume = float(config.get('max_volume', 25.0))
self.port = config.get('port', 'VIRTUAL')
else:
self.max_volume = float(kwargs.get("max_volume", 25.0))
self.port = kwargs.get("port", "VIRTUAL")
self._transfer_rate = float(kwargs.get("transfer_rate", 0))
self.mode = kwargs.get("mode", VirtualPumpMode.Normal)
self.max_volume = float(kwargs.get('max_volume', 25.0))
self.port = kwargs.get('port', 'VIRTUAL')
self._transfer_rate = float(kwargs.get('transfer_rate', 0))
self.mode = kwargs.get('mode', VirtualPumpMode.Normal)
# 状态变量 - 确保都是正确类型
self._status = "Idle"
self._position = 0.0 # float
self._max_velocity = 5.0 # float
self._max_velocity = 5.0 # float
self._current_volume = 0.0 # float
# 🚀 新增:快速模式设置 - 大幅缩短执行时间
@@ -52,16 +52,14 @@ class VirtualTransferPump:
self._fast_dispense_time = 1.0 # 快速喷射时间(秒)
self.logger = logging.getLogger(f"VirtualTransferPump.{self.device_id}")
print(f"🚰 === 虚拟转移泵 {self.device_id} 已创建 === ✨")
print(
f"💨 快速模式: {'启用' if self._fast_mode else '禁用'} | 移动时间: {self._fast_move_time}s | 喷射时间: {self._fast_dispense_time}s"
)
print(f"💨 快速模式: {'启用' if self._fast_mode else '禁用'} | 移动时间: {self._fast_move_time}s | 喷射时间: {self._fast_dispense_time}s")
print(f"📊 最大容量: {self.max_volume}mL | 端口: {self.port}")
def post_init(self, ros_node: BaseROS2DeviceNode):
self._ros_node = ros_node
async def initialize(self) -> bool:
"""初始化虚拟泵 🚀"""
self.logger.info(f"🔧 初始化虚拟转移泵 {self.device_id}")
@@ -70,33 +68,33 @@ class VirtualTransferPump:
self._current_volume = 0.0
self.logger.info(f"✅ 转移泵 {self.device_id} 初始化完成 🚰")
return True
async def cleanup(self) -> bool:
"""清理虚拟泵 🧹"""
self.logger.info(f"🧹 清理虚拟转移泵 {self.device_id} 🔚")
self._status = "Idle"
self.logger.info(f"✅ 转移泵 {self.device_id} 清理完成 💤")
return True
# 基本属性
@property
def status(self) -> str:
return self._status
@property
def position(self) -> float:
"""当前柱塞位置 (ml) 📍"""
return self._position
@property
def current_volume(self) -> float:
"""当前注射器中的体积 (ml) 💧"""
return self._current_volume
@property
def max_velocity(self) -> float:
return self._max_velocity
@property
def transfer_rate(self) -> float:
return self._transfer_rate
@@ -105,17 +103,17 @@ class VirtualTransferPump:
"""设置最大速度 (ml/s) 🌊"""
self._max_velocity = max(0.1, min(50.0, velocity)) # 限制在合理范围内
self.logger.info(f"🌊 设置最大速度为 {self._max_velocity} mL/s")
def get_status(self) -> str:
"""获取泵状态 📋"""
return self._status
async def _simulate_operation(self, duration: float):
"""模拟操作延时 ⏱️"""
self._status = "Busy"
await self._ros_node.sleep(duration)
self._status = "Idle"
def _calculate_duration(self, volume: float, velocity: float = None) -> float:
"""
计算操作持续时间 ⏰
@@ -123,10 +121,10 @@ class VirtualTransferPump:
"""
if velocity is None:
velocity = self._max_velocity
# 📊 计算理论时间(用于日志显示)
theoretical_duration = abs(volume) / velocity
# 🚀 如果启用快速模式,使用固定的快速时间
if self._fast_mode:
# 根据操作类型选择快速时间
@@ -134,13 +132,13 @@ class VirtualTransferPump:
actual_duration = self._fast_move_time
else: # 很小的操作
actual_duration = 0.5
self.logger.debug(f"⚡ 快速模式: 理论时间 {theoretical_duration:.2f}s → 实际时间 {actual_duration:.2f}s")
return actual_duration
else:
# 正常模式使用理论时间
return theoretical_duration
def _calculate_display_duration(self, volume: float, velocity: float = None) -> float:
"""
计算显示用的持续时间(用于日志) 📊
@@ -149,16 +147,16 @@ class VirtualTransferPump:
if velocity is None:
velocity = self._max_velocity
return abs(volume) / velocity
# 新的set_position方法 - 专门用于SetPumpPosition动作
async def set_position(self, position: float, max_velocity: float = None):
"""
移动到绝对位置 - 专门用于SetPumpPosition动作 🎯
Args:
position (float): 目标位置 (ml)
max_velocity (float): 移动速度 (ml/s)
Returns:
dict: 符合SetPumpPosition.action定义的结果
"""
@@ -166,19 +164,19 @@ class VirtualTransferPump:
# 验证并转换参数
target_position = float(position)
velocity = float(max_velocity) if max_velocity is not None else self._max_velocity
# 限制位置在有效范围内
target_position = max(0.0, min(float(self.max_volume), target_position))
# 计算移动距离
volume_to_move = abs(target_position - self._position)
# 📊 计算显示用的时间(用于日志)
display_duration = self._calculate_display_duration(volume_to_move, velocity)
# ⚡ 计算实际执行时间(快速模式)
actual_duration = self._calculate_duration(volume_to_move, velocity)
# 🎯 确定操作类型和emoji
if target_position > self._position:
operation_type = "吸液"
@@ -189,34 +187,28 @@ class VirtualTransferPump:
else:
operation_type = "保持"
operation_emoji = "📍"
self.logger.info(f"🎯 SET_POSITION: {operation_type} {operation_emoji}")
self.logger.info(
f" 📍 位置: {self._position:.2f}mL → {target_position:.2f}mL (移动 {volume_to_move:.2f}mL)"
)
self.logger.info(f" 📍 位置: {self._position:.2f}mL → {target_position:.2f}mL (移动 {volume_to_move:.2f}mL)")
self.logger.info(f" 🌊 速度: {velocity:.2f} mL/s")
self.logger.info(f" ⏰ 预计时间: {display_duration:.2f}s")
if self._fast_mode:
self.logger.info(f" ⚡ 快速模式: 实际用时 {actual_duration:.2f}s")
# 🚀 模拟移动过程
if volume_to_move > 0.01: # 只有当移动距离足够大时才显示进度
start_position = self._position
steps = 5 if actual_duration > 0.5 else 2 # 根据实际时间调整步数
step_duration = actual_duration / steps
self.logger.info(f"🚀 开始{operation_type}... {operation_emoji}")
for i in range(steps + 1):
# 计算当前位置和进度
progress = (i / steps) * 100 if steps > 0 else 100
current_pos = (
start_position + (target_position - start_position) * (i / steps)
if steps > 0
else target_position
)
current_pos = start_position + (target_position - start_position) * (i / steps) if steps > 0 else target_position
# 更新状态
if i < steps:
self._status = f"{operation_type}"
@@ -224,10 +216,10 @@ class VirtualTransferPump:
else:
self._status = "Idle"
status_emoji = ""
self._position = current_pos
self._current_volume = current_pos
# 显示进度每25%或最后一步)
if i == 0:
self.logger.debug(f" 🔄 {operation_type}开始: {progress:.0f}%")
@@ -235,7 +227,7 @@ class VirtualTransferPump:
self.logger.debug(f" 🔄 {operation_type}进度: {progress:.0f}%")
elif i == steps:
self.logger.info(f"{operation_type}完成: {progress:.0f}% | 当前位置: {current_pos:.2f}mL")
# 等待一小步时间
if i < steps and step_duration > 0:
await self._ros_node.sleep(step_duration)
@@ -244,27 +236,25 @@ class VirtualTransferPump:
self._position = target_position
self._current_volume = target_position
self.logger.info(f" 📍 微调完成: {target_position:.2f}mL")
# 确保最终位置准确
self._position = target_position
self._current_volume = target_position
self._status = "Idle"
# 📊 最终状态日志
if volume_to_move > 0.01:
self.logger.info(
f"🎉 SET_POSITION 完成! 📍 最终位置: {self._position:.2f}mL | 💧 当前体积: {self._current_volume:.2f}mL"
)
self.logger.info(f"🎉 SET_POSITION 完成! 📍 最终位置: {self._position:.2f}mL | 💧 当前体积: {self._current_volume:.2f}mL")
# 返回符合action定义的结果
return {
"success": True,
"message": f"✅ 成功移动到位置 {self._position:.2f}mL ({operation_type})",
"final_position": self._position,
"final_volume": self._current_volume,
"operation_type": operation_type,
"operation_type": operation_type
}
except Exception as e:
error_msg = f"❌ 设置位置失败: {str(e)}"
self.logger.error(error_msg)
@@ -272,136 +262,134 @@ class VirtualTransferPump:
"success": False,
"message": error_msg,
"final_position": self._position,
"final_volume": self._current_volume,
"final_volume": self._current_volume
}
# 其他泵操作方法
async def pull_plunger(self, volume: float, velocity: float = None):
"""
拉取柱塞(吸液) 📥
Args:
volume (float): 要拉取的体积 (ml)
velocity (float): 拉取速度 (ml/s)
"""
new_position = min(self.max_volume, self._position + volume)
actual_volume = new_position - self._position
if actual_volume <= 0:
self.logger.warning("⚠️ 无法吸液 - 已达到最大容量")
return
display_duration = self._calculate_display_duration(actual_volume, velocity)
actual_duration = self._calculate_duration(actual_volume, velocity)
self.logger.info(f"📥 开始吸液: {actual_volume:.2f}mL")
self.logger.info(f" 📍 位置: {self._position:.2f}mL → {new_position:.2f}mL")
self.logger.info(f" ⏰ 预计时间: {display_duration:.2f}s")
if self._fast_mode:
self.logger.info(f" ⚡ 快速模式: 实际用时 {actual_duration:.2f}s")
await self._simulate_operation(actual_duration)
self._position = new_position
self._current_volume = new_position
self.logger.info(f"✅ 吸液完成: {actual_volume:.2f}mL | 💧 当前体积: {self._current_volume:.2f}mL")
async def push_plunger(self, volume: float, velocity: float = None):
"""
推出柱塞(排液) 📤
Args:
volume (float): 要推出的体积 (ml)
velocity (float): 推出速度 (ml/s)
"""
new_position = max(0, self._position - volume)
actual_volume = self._position - new_position
if actual_volume <= 0:
self.logger.warning("⚠️ 无法排液 - 已达到最小容量")
return
display_duration = self._calculate_display_duration(actual_volume, velocity)
actual_duration = self._calculate_duration(actual_volume, velocity)
self.logger.info(f"📤 开始排液: {actual_volume:.2f}mL")
self.logger.info(f" 📍 位置: {self._position:.2f}mL → {new_position:.2f}mL")
self.logger.info(f" ⏰ 预计时间: {display_duration:.2f}s")
if self._fast_mode:
self.logger.info(f" ⚡ 快速模式: 实际用时 {actual_duration:.2f}s")
await self._simulate_operation(actual_duration)
self._position = new_position
self._current_volume = new_position
self.logger.info(f"✅ 排液完成: {actual_volume:.2f}mL | 💧 当前体积: {self._current_volume:.2f}mL")
# 便捷操作方法
async def aspirate(self, volume: float, velocity: float = None):
"""吸液操作 📥"""
await self.pull_plunger(volume, velocity)
async def dispense(self, volume: float, velocity: float = None):
"""排液操作 📤"""
await self.push_plunger(volume, velocity)
async def transfer(self, volume: float, aspirate_velocity: float = None, dispense_velocity: float = None):
"""转移操作(先吸后排) 🔄"""
self.logger.info(f"🔄 开始转移操作: {volume:.2f}mL")
# 吸液
await self.aspirate(volume, aspirate_velocity)
# 短暂停顿
self.logger.debug("⏸️ 短暂停顿...")
await self._ros_node.sleep(0.1)
# 排液
await self.dispense(volume, dispense_velocity)
async def empty_syringe(self, velocity: float = None):
"""清空注射器"""
await self.set_position(0, velocity)
async def fill_syringe(self, velocity: float = None):
"""充满注射器"""
await self.set_position(self.max_volume, velocity)
async def stop_operation(self):
"""停止当前操作"""
self._status = "Idle"
self.logger.info("Operation stopped")
# 状态查询方法
def get_position(self) -> float:
"""获取当前位置"""
return self._position
def get_current_volume(self) -> float:
"""获取当前体积"""
return self._current_volume
def get_remaining_capacity(self) -> float:
"""获取剩余容量"""
return self.max_volume - self._current_volume
def is_empty(self) -> bool:
"""检查是否为空"""
return self._current_volume <= 0.01 # 允许小量误差
def is_full(self) -> bool:
"""检查是否已满"""
return self._current_volume >= (self.max_volume - 0.01) # 允许小量误差
def __str__(self):
return (
f"VirtualTransferPump({self.device_id}: {self._current_volume:.2f}/{self.max_volume} ml, {self._status})"
)
return f"VirtualTransferPump({self.device_id}: {self._current_volume:.2f}/{self.max_volume} ml, {self._status})"
def __repr__(self):
return self.__str__()
@@ -410,20 +398,20 @@ class VirtualTransferPump:
async def demo():
"""虚拟泵使用示例"""
pump = VirtualTransferPump("demo_pump", {"max_volume": 50.0})
await pump.initialize()
print(f"Initial state: {pump}")
# 测试set_position方法
result = await pump.set_position(10.0, max_velocity=2.0)
print(f"Set position result: {result}")
print(f"After setting position to 10ml: {pump}")
# 吸液测试
await pump.aspirate(5.0, velocity=2.0)
print(f"After aspirating 5ml: {pump}")
# 清空测试
result = await pump.set_position(0.0)
print(f"Empty result: {result}")

View File

@@ -1,72 +1,58 @@
"""
Virtual Workbench Device - 模拟工作台设备
包含:
包含
- 1个机械臂 (每次操作3s, 独占锁)
- 3个加热台 (每次加热10s, 可并行)
工作流程:
1. A1-A5 物料同时启动, 竞争机械臂
工作流程
1. A1-A5 物料同时启动竞争机械臂
2. 机械臂将物料移动到空闲加热台
3. 加热完成后, 机械臂将物料移动到C1-C5
3. 加热完成后机械臂将物料移动到C1-C5
注意: 调用来自线程池, 使用 threading.Lock 进行同步
注意调用来自线程池使用 threading.Lock 进行同步
"""
import logging
import time
from typing import Dict, Any, Optional, List
from typing import Dict, Any, Optional
from dataclasses import dataclass
from enum import Enum
from threading import Lock, RLock
from typing_extensions import TypedDict
from unilabos.registry.decorators import (
device, action, ActionInputHandle, ActionOutputHandle, DataSource, topic_config, not_action
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
from unilabos.resources.resource_tracker import SampleUUIDsType, LabSample
from unilabos.utils.decorator import not_action
# ============ TypedDict 返回类型定义 ============
class MoveToHeatingStationResult(TypedDict):
"""move_to_heating_station 返回类型"""
success: bool
station_id: int
material_id: str
material_number: int
message: str
unilabos_samples: List[LabSample]
class StartHeatingResult(TypedDict):
"""start_heating 返回类型"""
success: bool
station_id: int
material_id: str
material_number: int
message: str
unilabos_samples: List[LabSample]
class MoveToOutputResult(TypedDict):
"""move_to_output 返回类型"""
success: bool
station_id: int
material_id: str
output_position: str
message: str
unilabos_samples: List[LabSample]
class PrepareMaterialsResult(TypedDict):
"""prepare_materials 返回类型 - 批量准备物料"""
success: bool
count: int
material_1: int # 物料编号1
@@ -75,24 +61,20 @@ class PrepareMaterialsResult(TypedDict):
material_4: int # 物料编号4
material_5: int # 物料编号5
message: str
unilabos_samples: List[LabSample]
# ============ 状态枚举 ============
class HeatingStationState(Enum):
"""加热台状态枚举"""
IDLE = "idle" # 空闲
OCCUPIED = "occupied" # 已放置物料, 等待加热
OCCUPIED = "occupied" # 已放置物料等待加热
HEATING = "heating" # 加热中
COMPLETED = "completed" # 加热完成, 等待取走
COMPLETED = "completed" # 加热完成等待取走
class ArmState(Enum):
"""机械臂状态枚举"""
IDLE = "idle" # 空闲
BUSY = "busy" # 工作中
@@ -100,7 +82,6 @@ class ArmState(Enum):
@dataclass
class HeatingStation:
"""加热台数据结构"""
station_id: int
state: HeatingStationState = HeatingStationState.IDLE
current_material: Optional[str] = None # 当前物料 (如 "A1", "A2")
@@ -109,31 +90,26 @@ class HeatingStation:
heating_progress: float = 0.0
@device(
id="virtual_workbench",
category=["virtual_device"],
description="Virtual Workbench with 1 robotic arm and 3 heating stations for concurrent material processing",
)
class VirtualWorkbench:
"""
Virtual Workbench Device - 虚拟工作台设备
模拟一个包含1个机械臂和3个加热台的工作站
- 机械臂操作耗时3秒, 同一时间只能执行一个操作
- 加热台加热耗时10秒, 3个加热台可并行工作
- 机械臂操作耗时3秒同一时间只能执行一个操作
- 加热台加热耗时10秒3个加热台可并行工作
工作流:
1. 物料A1-A5并发启动(线程池), 竞争机械臂使用权
2. 获取机械臂后, 查找空闲加热台
3. 机械臂将物料放入加热台, 开始加热
4. 加热完成后, 机械臂将物料移动到目标位置Cn
1. 物料A1-A5并发启动线程池竞争机械臂使用权
2. 获取机械臂后查找空闲加热台
3. 机械臂将物料放入加热台开始加热
4. 加热完成后机械臂将物料移动到目标位置Cn
"""
_ros_node: BaseROS2DeviceNode
# 配置常量
ARM_OPERATION_TIME: float = 2 # 机械臂操作时间(秒)
HEATING_TIME: float = 60.0 # 加热时间(秒)
ARM_OPERATION_TIME: float = 3.0 # 机械臂操作时间(秒)
HEATING_TIME: float = 10.0 # 加热时间(秒)
NUM_HEATING_STATIONS: int = 3 # 加热台数量
def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
@@ -150,23 +126,24 @@ class VirtualWorkbench:
self.data: Dict[str, Any] = {}
# 从config中获取可配置参数
self.ARM_OPERATION_TIME = float(self.config.get("arm_operation_time", self.ARM_OPERATION_TIME))
self.HEATING_TIME = float(self.config.get("heating_time", self.HEATING_TIME))
self.NUM_HEATING_STATIONS = int(self.config.get("num_heating_stations", self.NUM_HEATING_STATIONS))
self.ARM_OPERATION_TIME = float(self.config.get("arm_operation_time", 3.0))
self.HEATING_TIME = float(self.config.get("heating_time", 10.0))
self.NUM_HEATING_STATIONS = int(self.config.get("num_heating_stations", 3))
# 机械臂状态和锁
# 机械臂状态和锁 (使用threading.Lock)
self._arm_lock = Lock()
self._arm_state = ArmState.IDLE
self._arm_current_task: Optional[str] = None
# 加热台状态
# 加热台状态 (station_id -> HeatingStation) - 立即初始化不依赖initialize()
self._heating_stations: Dict[int, HeatingStation] = {
i: HeatingStation(station_id=i) for i in range(1, self.NUM_HEATING_STATIONS + 1)
i: HeatingStation(station_id=i)
for i in range(1, self.NUM_HEATING_STATIONS + 1)
}
self._stations_lock = RLock()
self._stations_lock = RLock() # 可重入锁,保护加热台状态
# 任务追踪
self._active_tasks: Dict[str, Dict[str, Any]] = {}
self._active_tasks: Dict[str, Dict[str, Any]] = {} # material_id -> task_info
self._tasks_lock = Lock()
# 处理其他kwargs参数
@@ -192,6 +169,7 @@ class VirtualWorkbench:
"""初始化虚拟工作台"""
self.logger.info(f"初始化虚拟工作台 {self.device_id}")
# 重置加热台状态 (已在__init__中创建这里重置为初始状态)
with self._stations_lock:
for station in self._heating_stations.values():
station.state = HeatingStationState.IDLE
@@ -199,16 +177,15 @@ class VirtualWorkbench:
station.material_number = None
station.heating_progress = 0.0
self.data.update(
{
"status": "Ready",
"arm_state": ArmState.IDLE.value,
"arm_current_task": None,
"heating_stations": self._get_stations_status(),
"active_tasks_count": 0,
"message": "工作台就绪",
}
)
# 初始化状态
self.data.update({
"status": "Ready",
"arm_state": ArmState.IDLE.value,
"arm_current_task": None,
"heating_stations": self._get_stations_status(),
"active_tasks_count": 0,
"message": "工作台就绪",
})
self.logger.info(f"工作台初始化完成: {self.NUM_HEATING_STATIONS}个加热台就绪")
return True
@@ -227,14 +204,12 @@ class VirtualWorkbench:
with self._tasks_lock:
self._active_tasks.clear()
self.data.update(
{
"status": "Offline",
"arm_state": ArmState.IDLE.value,
"heating_stations": {},
"message": "工作台已关闭",
}
)
self.data.update({
"status": "Offline",
"arm_state": ArmState.IDLE.value,
"heating_stations": {},
"message": "工作台已关闭",
})
return True
def _get_stations_status(self) -> Dict[int, Dict[str, Any]]:
@@ -252,19 +227,21 @@ class VirtualWorkbench:
def _update_data_status(self, message: Optional[str] = None):
"""更新状态数据"""
self.data.update(
{
"arm_state": self._arm_state.value,
"arm_current_task": self._arm_current_task,
"heating_stations": self._get_stations_status(),
"active_tasks_count": len(self._active_tasks),
}
)
self.data.update({
"arm_state": self._arm_state.value,
"arm_current_task": self._arm_current_task,
"heating_stations": self._get_stations_status(),
"active_tasks_count": len(self._active_tasks),
})
if message:
self.data["message"] = message
def _find_available_heating_station(self) -> Optional[int]:
"""查找空闲的加热台"""
"""查找空闲的加热台
Returns:
空闲加热台ID如果没有则返回None
"""
with self._stations_lock:
for station_id, station in self._heating_stations.items():
if station.state == HeatingStationState.IDLE:
@@ -272,12 +249,23 @@ class VirtualWorkbench:
return None
def _acquire_arm(self, task_description: str) -> bool:
"""获取机械臂使用权(阻塞直到获取)"""
"""获取机械臂使用权阻塞直到获取
Args:
task_description: 任务描述,用于日志
Returns:
是否成功获取
"""
self.logger.info(f"[{task_description}] 等待获取机械臂...")
# 阻塞等待获取锁
self._arm_lock.acquire()
self._arm_state = ArmState.BUSY
self._arm_current_task = task_description
self._update_data_status(f"机械臂执行: {task_description}")
self.logger.info(f"[{task_description}] 成功获取机械臂使用权")
return True
@@ -290,37 +278,28 @@ class VirtualWorkbench:
self._update_data_status(f"机械臂已释放 (完成: {task})")
self.logger.info(f"机械臂已释放 (完成: {task})")
@action(
auto_prefix=True,
description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",
handles=[
ActionOutputHandle(key="channel_1", data_type="workbench_material",
label="实验1", data_key="material_1", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_2", data_type="workbench_material",
label="实验2", data_key="material_2", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_3", data_type="workbench_material",
label="实验3", data_key="material_3", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_4", data_type="workbench_material",
label="实验4", data_key="material_4", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="channel_5", data_type="workbench_material",
label="实验5", data_key="material_5", data_source=DataSource.EXECUTOR),
],
)
def prepare_materials(
self,
sample_uuids: SampleUUIDsType,
count: int = 5,
) -> PrepareMaterialsResult:
"""
批量准备物料 - 虚拟起始节点
作为工作流的起始节点, 生成指定数量的物料编号供后续节点使用。
输出5个handle (material_1 ~ material_5), 分别对应实验1~5。
作为工作流的起始节点生成指定数量的物料编号供后续节点使用。
输出5个handle (material_1 ~ material_5)分别对应实验1~5。
Args:
count: 待生成的物料数量默认5 (生成 A1-A5)
Returns:
PrepareMaterialsResult: 包含 material_1 ~ material_5 用于传递给 move_to_heating_station
"""
# 生成物料列表 A1 - A{count}
materials = [i for i in range(1, count + 1)]
self.logger.info(
f"[准备物料] 生成 {count} 个物料: A1-A{count} -> material_1~material_{count}"
f"[准备物料] 生成 {count} 个物料: "
f"A1-A{count} -> material_1~material_{count}"
)
return {
@@ -332,42 +311,29 @@ class VirtualWorkbench:
"material_4": materials[3] if len(materials) > 3 else 0,
"material_5": materials[4] if len(materials) > 4 else 0,
"message": f"已准备 {count} 个物料: A1-A{count}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra={"material_uuid": content} if isinstance(content, str) else (content.serialize() if content else {}),
)
for sample_uuid, content in sample_uuids.items()
],
}
@action(
auto_prefix=True,
description="将物料从An位置移动到空闲加热台, 返回分配的加热台ID",
handles=[
ActionInputHandle(key="material_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
ActionOutputHandle(key="heating_station_output", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="material_number_output", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
],
)
def move_to_heating_station(
self,
sample_uuids: SampleUUIDsType,
material_number: int,
) -> MoveToHeatingStationResult:
"""
将物料从An位置移动到加热台
多线程并发调用时, 会竞争机械臂使用权, 并自动查找空闲加热台
多线程并发调用时会竞争机械臂使用权并自动查找空闲加热台
Args:
material_number: 物料编号 (1-5)
Returns:
MoveToHeatingStationResult: 包含 station_id, material_number 等用于传递给下一个节点
"""
# 根据物料编号生成物料ID
material_id = f"A{material_number}"
task_desc = f"移动{material_id}到加热台"
self.logger.info(f"[任务] {task_desc} - 开始执行")
# 记录任务
with self._tasks_lock:
self._active_tasks[material_id] = {
"status": "waiting_for_arm",
@@ -375,27 +341,33 @@ class VirtualWorkbench:
}
try:
# 步骤1: 等待获取机械臂使用权(竞争)
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "waiting_for_arm"
self._acquire_arm(task_desc)
# 步骤2: 查找空闲加热台
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "finding_station"
station_id = None
# 循环等待直到找到空闲加热台
while station_id is None:
station_id = self._find_available_heating_station()
if station_id is None:
self.logger.info(f"[{material_id}] 没有空闲加热台, 等待中...")
self.logger.info(f"[{material_id}] 没有空闲加热台等待中...")
# 释放机械臂,等待后重试
self._release_arm()
time.sleep(0.5)
self._acquire_arm(task_desc)
# 步骤3: 占用加热台 - 立即标记为OCCUPIED防止其他任务选择同一加热台
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.OCCUPIED
self._heating_stations[station_id].current_material = material_id
self._heating_stations[station_id].material_number = material_number
# 步骤4: 模拟机械臂移动操作 (3秒)
with self._tasks_lock:
self._active_tasks[material_id]["status"] = "arm_moving"
self._active_tasks[material_id]["assigned_station"] = station_id
@@ -403,11 +375,11 @@ class VirtualWorkbench:
time.sleep(self.ARM_OPERATION_TIME)
# 步骤5: 放入加热台完成
self._update_data_status(f"{material_id}已放入加热台{station_id}")
self.logger.info(
f"[{material_id}] 已放入加热台{station_id} (用时{self.ARM_OPERATION_TIME}s)"
)
self.logger.info(f"[{material_id}] 已放入加热台{station_id} (用时{self.ARM_OPERATION_TIME}s)")
# 释放机械臂
self._release_arm()
with self._tasks_lock:
@@ -419,17 +391,6 @@ class VirtualWorkbench:
"material_id": material_id,
"material_number": material_number,
"message": f"{material_id}已成功移动到加热台{station_id}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
except Exception as e:
@@ -442,42 +403,22 @@ class VirtualWorkbench:
"material_id": material_id,
"material_number": material_number,
"message": f"移动失败: {str(e)}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
@action(
auto_prefix=True,
always_free=True,
description="启动指定加热台的加热程序",
handles=[
ActionInputHandle(key="station_id_input", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
ActionInputHandle(key="material_number_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
ActionOutputHandle(key="heating_done_station", data_type="workbench_station",
label="加热完成-加热台ID", data_key="station_id", data_source=DataSource.EXECUTOR),
ActionOutputHandle(key="heating_done_material", data_type="workbench_material",
label="加热完成-物料编号", data_key="material_number", data_source=DataSource.EXECUTOR),
],
)
def start_heating(
self,
sample_uuids: SampleUUIDsType,
station_id: int,
material_number: int,
) -> StartHeatingResult:
"""
启动指定加热台的加热程序
Args:
station_id: 加热台ID (1-3),从 move_to_heating_station 的 handle 传入
material_number: 物料编号,从 move_to_heating_station 的 handle 传入
Returns:
StartHeatingResult: 包含 station_id, material_number 等用于传递给下一个节点
"""
self.logger.info(f"[加热台{station_id}] 开始加热")
@@ -488,17 +429,6 @@ class VirtualWorkbench:
"material_id": "",
"material_number": material_number,
"message": f"无效的加热台ID: {station_id}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
with self._stations_lock:
@@ -511,17 +441,6 @@ class VirtualWorkbench:
"material_id": "",
"material_number": material_number,
"message": f"加热台{station_id}上没有物料",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
if station.state == HeatingStationState.HEATING:
@@ -531,21 +450,11 @@ class VirtualWorkbench:
"material_id": station.current_material,
"material_number": material_number,
"message": f"加热台{station_id}已经在加热中",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
material_id = station.current_material
# 开始加热
station.state = HeatingStationState.HEATING
station.heating_start_time = time.time()
station.heating_progress = 0.0
@@ -556,19 +465,10 @@ class VirtualWorkbench:
self._update_data_status(f"加热台{station_id}开始加热{material_id}")
with self._stations_lock:
heating_list = [
f"加热台{sid}:{s.current_material}"
for sid, s in self._heating_stations.items()
if s.state == HeatingStationState.HEATING and s.current_material
]
self.logger.info(f"[并行加热] 当前同时加热中: {', '.join(heating_list)}")
# 模拟加热过程 (10秒)
start_time = time.time()
last_countdown_log = start_time
while True:
elapsed = time.time() - start_time
remaining = max(0.0, self.HEATING_TIME - elapsed)
progress = min(100.0, (elapsed / self.HEATING_TIME) * 100)
with self._stations_lock:
@@ -576,15 +476,12 @@ class VirtualWorkbench:
self._update_data_status(f"加热台{station_id}加热中: {progress:.1f}%")
if time.time() - last_countdown_log >= 5.0:
self.logger.info(f"[加热台{station_id}] {material_id} 剩余 {remaining:.1f}s")
last_countdown_log = time.time()
if elapsed >= self.HEATING_TIME:
break
time.sleep(1.0)
# 加热完成
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.COMPLETED
self._heating_stations[station_id].heating_progress = 100.0
@@ -602,39 +499,24 @@ class VirtualWorkbench:
"material_id": material_id,
"material_number": material_number,
"message": f"加热台{station_id}加热完成",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
@action(
auto_prefix=True,
description="将物料从加热台移动到输出位置Cn",
handles=[
ActionInputHandle(key="output_station_input", data_type="workbench_station",
label="加热台ID", data_key="station_id", data_source=DataSource.HANDLE),
ActionInputHandle(key="output_material_input", data_type="workbench_material",
label="物料编号", data_key="material_number", data_source=DataSource.HANDLE),
],
)
def move_to_output(
self,
sample_uuids: SampleUUIDsType,
station_id: int,
material_number: int,
) -> MoveToOutputResult:
"""
将物料从加热台移动到输出位置Cn
Args:
station_id: 加热台ID (1-3),从 start_heating 的 handle 传入
material_number: 物料编号,从 start_heating 的 handle 传入,用于确定输出位置 Cn
Returns:
MoveToOutputResult: 包含执行结果
"""
output_number = material_number
output_number = material_number # 物料编号决定输出位置
if station_id not in self._heating_stations:
return {
@@ -643,17 +525,6 @@ class VirtualWorkbench:
"material_id": "",
"output_position": f"C{output_number}",
"message": f"无效的加热台ID: {station_id}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
with self._stations_lock:
@@ -667,17 +538,6 @@ class VirtualWorkbench:
"material_id": "",
"output_position": f"C{output_number}",
"message": f"加热台{station_id}上没有物料",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
if station.state != HeatingStationState.COMPLETED:
@@ -687,17 +547,6 @@ class VirtualWorkbench:
"material_id": material_id,
"output_position": f"C{output_number}",
"message": f"加热台{station_id}尚未完成加热 (当前状态: {station.state.value})",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
output_position = f"C{output_number}"
@@ -709,17 +558,18 @@ class VirtualWorkbench:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "waiting_for_arm_output"
# 获取机械臂
self._acquire_arm(task_desc)
with self._tasks_lock:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "arm_moving_to_output"
self.logger.info(
f"[{material_id}] 机械臂正在从加热台{station_id}取出并移动到{output_position}..."
)
# 模拟机械臂操作 (3秒)
self.logger.info(f"[{material_id}] 机械臂正在从加热台{station_id}取出并移动到{output_position}...")
time.sleep(self.ARM_OPERATION_TIME)
# 清空加热台
with self._stations_lock:
self._heating_stations[station_id].state = HeatingStationState.IDLE
self._heating_stations[station_id].current_material = None
@@ -727,17 +577,17 @@ class VirtualWorkbench:
self._heating_stations[station_id].heating_progress = 0.0
self._heating_stations[station_id].heating_start_time = None
# 释放机械臂
self._release_arm()
# 任务完成
with self._tasks_lock:
if material_id in self._active_tasks:
self._active_tasks[material_id]["status"] = "completed"
self._active_tasks[material_id]["end_time"] = time.time()
self._update_data_status(f"{material_id}已移动到{output_position}")
self.logger.info(
f"[{material_id}] 已成功移动到{output_position} (用时{self.ARM_OPERATION_TIME}s)"
)
self.logger.info(f"[{material_id}] 已成功移动到{output_position} (用时{self.ARM_OPERATION_TIME}s)")
return {
"success": True,
@@ -745,18 +595,6 @@ class VirtualWorkbench:
"material_id": material_id,
"output_position": output_position,
"message": f"{material_id}已成功移动到{output_position}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content is not None else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
except Exception as e:
@@ -769,106 +607,81 @@ class VirtualWorkbench:
"material_id": "",
"output_position": output_position,
"message": f"移动失败: {str(e)}",
"unilabos_samples": [
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
],
}
# ============ 状态属性 ============
@property
@topic_config()
def status(self) -> str:
return self.data.get("status", "Unknown")
@property
@topic_config()
def arm_state(self) -> str:
return self._arm_state.value
@property
@topic_config()
def arm_current_task(self) -> str:
return self._arm_current_task or ""
@property
@topic_config()
def heating_station_1_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_1_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_1_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(1)
return station.heating_progress if station else 0.0
@property
@topic_config()
def heating_station_2_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_2_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_2_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(2)
return station.heating_progress if station else 0.0
@property
@topic_config()
def heating_station_3_state(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.state.value if station else "unknown"
@property
@topic_config()
def heating_station_3_material(self) -> str:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.current_material or "" if station else ""
@property
@topic_config()
def heating_station_3_progress(self) -> float:
with self._stations_lock:
station = self._heating_stations.get(3)
return station.heating_progress if station else 0.0
@property
@topic_config()
def active_tasks_count(self) -> int:
with self._tasks_lock:
return len(self._active_tasks)
@property
@topic_config()
def message(self) -> str:
return self.data.get("message", "")

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

View File

@@ -96,13 +96,10 @@ serial:
type: string
port:
type: string
registry_name:
type: string
resource_tracker:
type: object
required:
- device_id
- registry_name
- port
type: object
data:

View File

@@ -67,9 +67,6 @@ camera:
period:
default: 0.1
type: number
registry_name:
default: ''
type: string
resource_tracker:
type: object
required: []

View File

@@ -638,7 +638,7 @@ liquid_handler:
placeholder_keys: {}
result: {}
schema:
description: 吸头迭代函数。用于自动管理和切换枪头盒中的吸头,实现批量实验中的吸头自动分配和追踪。该函数监控吸头使用状态,自动切换到下一个可用吸头位置,确保实验流程的连续性。适用于高通量实验、批量处理、自动化流水线等需要大量吸头管理的应用场景。
description: 吸头迭代函数。用于自动管理和切换吸头架中的吸头,实现批量实验中的吸头自动分配和追踪。该函数监控吸头使用状态,自动切换到下一个可用吸头位置,确保实验流程的连续性。适用于高通量实验、批量处理、自动化流水线等需要大量吸头管理的应用场景。
properties:
feedback: {}
goal:
@@ -712,43 +712,6 @@ liquid_handler:
title: set_group参数
type: object
type: UniLabJsonCommand
auto-set_liquid_from_plate:
feedback: {}
goal: {}
goal_default:
liquid_names: null
plate: null
volumes: null
well_names: null
handles: {}
placeholder_keys: {}
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
liquid_names:
type: string
plate:
type: string
volumes:
type: string
well_names:
type: string
required:
- plate
- well_names
- liquid_names
- volumes
type: object
result: {}
required:
- goal
title: set_liquid_from_plate参数
type: object
type: UniLabJsonCommand
auto-set_tiprack:
feedback: {}
goal: {}
@@ -758,7 +721,7 @@ liquid_handler:
placeholder_keys: {}
result: {}
schema:
description: 枪头盒设置函数。用于配置和初始化液体处理系统的枪头盒信息,包括枪头盒位置、类型、容量等参数。该函数建立吸头资源管理系统,为后续的吸头选择和使用提供基础配置。适用于系统初始化、枪头盒更换、实验配置等需要吸头资源管理的操作场景。
description: 吸头架设置函数。用于配置和初始化液体处理系统的吸头架信息,包括吸头架位置、类型、容量等参数。该函数建立吸头资源管理系统,为后续的吸头选择和使用提供基础配置。适用于系统初始化、吸头架更换、实验配置等需要吸头资源管理的操作场景。
properties:
feedback: {}
goal:
@@ -4130,32 +4093,32 @@ liquid_handler:
- 0
handles:
input:
- data_key: sources
- data_key: liquid
data_source: handle
data_type: resource
handler_key: sources
label: 待移动液体
- data_key: targets
data_source: handle
data_type: resource
handler_key: targets
label: 转移目标
- data_key: tip_racks
data_source: handle
data_type: resource
handler_key: tip_rack
label: 枪头盒
output:
- data_key: sources.@flatten
label: sources
- data_key: liquid
data_source: executor
data_type: resource
handler_key: targets
label: targets
- data_key: liquid
data_source: executor
data_type: resource
handler_key: tip_rack
label: tip_rack
output:
- data_key: liquid
data_source: handle
data_type: resource
handler_key: sources_out
label: 移液后源孔
- data_key: targets.@flatten
label: sources
- data_key: liquid
data_source: executor
data_type: resource
handler_key: targets_out
label: 移液后目标孔
label: targets
placeholder_keys:
sources: unilabos_resources
targets: unilabos_resources
@@ -5151,34 +5114,19 @@ liquid_handler.biomek:
- 0
handles:
input:
- data_key: sources
- data_key: liquid
data_source: handle
data_type: resource
handler_key: sources
handler_key: liquid-input
io_type: target
label: 待移动液体
- data_key: targets
data_source: handle
data_type: resource
handler_key: targets
label: 转移目标
- data_key: tip_racks
data_source: handle
data_type: resource
handler_key: tip_rack
label: 枪头盒
label: Liquid Input
output:
- data_key: sources.@flatten
- data_key: liquid
data_source: executor
data_type: resource
handler_key: sources_out
handler_key: liquid-output
io_type: source
label: 移液后源孔
- data_key: targets.@flatten
data_source: executor
data_type: resource
handler_key: targets_out
label: 移液后目标孔
label: Liquid Output
placeholder_keys:
sources: unilabos_resources
targets: unilabos_resources
@@ -9336,13 +9284,7 @@ liquid_handler.prcxi:
data_source: handle
data_type: resource
handler_key: input_wells
label: 待设定液体孔
output:
- data_key: wells.@flatten
data_source: executor
data_type: resource
handler_key: output_wells
label: 已设定液体孔
label: InputWells
placeholder_keys:
wells: unilabos_resources
result: {}
@@ -9458,352 +9400,6 @@ liquid_handler.prcxi:
title: LiquidHandlerSetLiquid
type: object
type: LiquidHandlerSetLiquid
set_liquid_from_plate:
feedback: {}
goal: {}
goal_default:
liquid_names: null
plate: null
volumes: null
well_names: null
handles:
input:
- data_key: '@this.0@@@plate'
data_source: handle
data_type: resource
handler_key: input_plate
label: 待设定液体板
output:
- data_key: plate.@flatten
data_source: executor
data_type: resource
handler_key: output_plate
label: 已设定液体板
- data_key: wells.@flatten
data_source: executor
data_type: resource
handler_key: output_wells
label: 已设定液体孔
- data_key: volumes
data_source: executor
data_type: number_array
handler_key: output_volumes
label: 各孔设定体积
placeholder_keys:
plate: unilabos_resources
result: {}
schema:
description: ''
properties:
feedback: {}
goal:
properties:
liquid_names:
items:
type: string
type: array
plate:
properties:
category:
type: string
children:
items:
type: string
type: array
config:
type: string
data:
type: string
id:
type: string
name:
type: string
parent:
type: string
pose:
properties:
orientation:
properties:
w:
type: number
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
- w
title: orientation
type: object
position:
properties:
x:
type: number
y:
type: number
z:
type: number
required:
- x
- y
- z
title: position
type: object
required:
- position
- orientation
title: pose
type: object
sample_id:
type: string
type:
type: string
required:
- id
- name
- sample_id
- children
- parent
- type
- category
- pose
- config
- data
title: plate
type: object
volumes:
items:
type: number
type: array
well_names:
items:
type: string
type: array
required:
- plate
- well_names
- liquid_names
- volumes
type: object
result:
$defs:
ResourceDict:
properties:
class:
description: Resource class name
title: Class
type: string
config:
additionalProperties: true
description: Resource configuration
title: Config
type: object
data:
additionalProperties: true
description: 'Resource data, eg: container liquid data'
title: Data
type: object
description:
default: ''
description: Resource description
title: Description
type: string
extra:
additionalProperties: true
description: 'Extra data, eg: slot index'
title: Extra
type: object
icon:
default: ''
description: Resource icon
title: Icon
type: string
id:
description: Resource ID
title: Id
type: string
model:
additionalProperties: true
description: Resource model
title: Model
type: object
name:
description: Resource name
title: Name
type: string
parent:
anyOf:
- $ref: '#/$defs/ResourceDict'
- type: 'null'
default: null
description: Parent resource object
parent_uuid:
anyOf:
- type: string
- type: 'null'
default: null
description: Parent resource uuid
title: Parent Uuid
pose:
$ref: '#/$defs/ResourceDictPosition'
description: Resource position
schema:
additionalProperties: true
description: Resource schema
title: Schema
type: object
type:
anyOf:
- const: device
type: string
- type: string
description: Resource type
title: Type
uuid:
description: Resource UUID
title: Uuid
type: string
required:
- id
- uuid
- name
- type
- class
- config
- data
- extra
title: ResourceDict
type: object
ResourceDictPosition:
properties:
cross_section_type:
default: rectangle
description: Cross section type
enum:
- rectangle
- circle
- rounded_rectangle
title: Cross Section Type
type: string
layout:
default: x-y
description: Resource layout
enum:
- 2d
- x-y
- z-y
- x-z
title: Layout
type: string
position:
$ref: '#/$defs/ResourceDictPositionObject'
description: Resource position
position3d:
$ref: '#/$defs/ResourceDictPositionObject'
description: Resource position in 3D space
rotation:
$ref: '#/$defs/ResourceDictPositionObject'
description: Resource rotation
scale:
$ref: '#/$defs/ResourceDictPositionScale'
description: Resource scale
size:
$ref: '#/$defs/ResourceDictPositionSize'
description: Resource size
title: ResourceDictPosition
type: object
ResourceDictPositionObject:
properties:
x:
default: 0.0
description: X coordinate
title: X
type: number
y:
default: 0.0
description: Y coordinate
title: Y
type: number
z:
default: 0.0
description: Z coordinate
title: Z
type: number
title: ResourceDictPositionObject
type: object
ResourceDictPositionScale:
properties:
x:
default: 0.0
description: x scale
title: X
type: number
y:
default: 0.0
description: y scale
title: Y
type: number
z:
default: 0.0
description: z scale
title: Z
type: number
title: ResourceDictPositionScale
type: object
ResourceDictPositionSize:
properties:
depth:
default: 0.0
description: Depth
title: Depth
type: number
height:
default: 0.0
description: Height
title: Height
type: number
width:
default: 0.0
description: Width
title: Width
type: number
title: ResourceDictPositionSize
type: object
properties:
plate:
items:
items:
$ref: '#/$defs/ResourceDict'
type: array
title: Plate
type: array
volumes:
items:
type: number
title: Volumes
type: array
wells:
items:
items:
$ref: '#/$defs/ResourceDict'
type: array
title: Wells
type: array
required:
- plate
- wells
- volumes
title: SetLiquidFromPlateReturn
type: object
required:
- goal
title: set_liquid_from_plate参数
type: object
type: UniLabJsonCommand
set_tiprack:
feedback: {}
goal:
@@ -10147,34 +9743,7 @@ liquid_handler.prcxi:
touch_tip: false
use_channels:
- 0
handles:
input:
- data_key: sources
data_source: handle
data_type: resource
handler_key: sources_identifier
label: 待移动液体
- data_key: targets
data_source: handle
data_type: resource
handler_key: targets_identifier
label: 转移目标
- data_key: tip_rack
data_source: handle
data_type: resource
handler_key: tip_rack_identifier
label: 枪头盒
output:
- data_key: sources.@flatten
data_source: executor
data_type: resource
handler_key: sources_out
label: 移液后源孔
- data_key: targets.@flatten
data_source: executor
data_type: resource
handler_key: targets_out
label: 移液后目标孔
handles: {}
placeholder_keys:
sources: unilabos_resources
targets: unilabos_resources

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

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

View File

@@ -1,6 +1,10 @@
import json
from typing import Dict, Any
from pylabrobot.resources import Container
from unilabos_msgs.msg import Resource
from unilabos.ros.msgs.message_converter import convert_from_ros_msg
class RegularContainer(Container):
@@ -12,14 +16,12 @@ class RegularContainer(Container):
kwargs["size_y"] = 0
if "size_z" not in kwargs:
kwargs["size_z"] = 0
if "category" not in kwargs:
kwargs["category"] = "container"
self.kwargs = kwargs
super().__init__(*args, **kwargs)
self.state = {}
super().__init__(*args, category="container", **kwargs)
def load_state(self, state: Dict[str, Any]):
super().load_state(state)
self.state = state
def get_regular_container(name="container"):
@@ -27,6 +29,7 @@ def get_regular_container(name="container"):
r.category = "container"
return r
#
# class RegularContainer(object):
# # 第一个参数必须是id传入
# # noinspection PyShadowingBuiltins
@@ -86,4 +89,4 @@ def get_regular_container(name="container"):
# return to_dict
#
# def __str__(self):
# return f"{self.id}"
# return f"{self.id}"

View File

@@ -42,7 +42,7 @@ def canonicalize_nodes_data(
Returns:
ResourceTreeSet: 标准化后的资源树集合
"""
print_status(f"{len(nodes)} Resources loaded", "info")
print_status(f"{len(nodes)} Resources loaded:", "info")
# 第一步基本预处理处理graphml的label字段
outer_host_node_id = None
@@ -76,7 +76,7 @@ def canonicalize_nodes_data(
if sample_id:
logger.error(f"{node}的sample_id参数已弃用sample_id: {sample_id}")
for k in list(node.keys()):
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children", "pose", "extra", "machine_name"]:
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children", "pose"]:
v = node.pop(k)
node["config"][k] = v
if outer_host_node_id is not None:
@@ -151,40 +151,12 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
"""
# 构建 id 到 uuid 的映射
id_to_uuid: Dict[str, str] = {}
uuid_to_id: Dict[str, str] = {}
for node in resource_tree_set.all_nodes:
id_to_uuid[node.res_content.id] = node.res_content.uuid
uuid_to_id[node.res_content.uuid] = node.res_content.id
# 第三遍处理:为每个 link 添加 source_uuid 和 target_uuid
for link in links:
source_id = link.get("source")
target_id = link.get("target")
# 添加 source_uuid
if source_id and source_id in id_to_uuid:
link["source_uuid"] = id_to_uuid[source_id]
# 添加 target_uuid
if target_id and target_id in id_to_uuid:
link["target_uuid"] = id_to_uuid[target_id]
source_uuid = link.get("source_uuid")
target_uuid = link.get("target_uuid")
# 添加 source_uuid
if source_uuid and source_uuid in uuid_to_id:
link["source"] = uuid_to_id[source_uuid]
# 添加 target_uuid
if target_uuid and target_uuid in uuid_to_id:
link["target"] = uuid_to_id[target_uuid]
# 第一遍处理将字符串类型的port转换为字典格式
for link in links:
port = link.get("port")
if port is None:
continue
if link.get("type", "physical") == "physical":
link["type"] = "fluid"
if isinstance(port, int):
@@ -207,15 +179,13 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
link["port"] = {link["source"]: None, link["target"]: None}
# 构建边字典,键为(source节点, target节点)值为对应的port信息
edges = {(link["source"], link["target"]): link["port"] for link in links if link.get("port")}
edges = {(link["source"], link["target"]): link["port"] for link in links}
# 第二遍处理填充反向边的dest信息
delete_reverses = []
for i, link in enumerate(links):
s, t = link["source"], link["target"]
current_port = link.get("port")
if current_port is None:
continue
current_port = link["port"]
if current_port.get(t) is None:
reverse_key = (t, s)
reverse_port = edges.get(reverse_key)
@@ -230,6 +200,20 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
current_port[t] = current_port[s]
# 删除已被使用反向端口信息的反向边
standardized_links = [link for i, link in enumerate(links) if i not in delete_reverses]
# 第三遍处理:为每个 link 添加 source_uuid 和 target_uuid
for link in standardized_links:
source_id = link.get("source")
target_id = link.get("target")
# 添加 source_uuid
if source_id and source_id in id_to_uuid:
link["source_uuid"] = id_to_uuid[source_id]
# 添加 target_uuid
if target_id and target_id in id_to_uuid:
link["target_uuid"] = id_to_uuid[target_id]
return standardized_links
@@ -276,7 +260,7 @@ def read_node_link_json(
resource_tree_set = canonicalize_nodes_data(nodes)
# 标准化边数据
links = data.get("links", data.get("edges", []))
links = data.get("links", [])
standardized_links = canonicalize_links_ports(links, resource_tree_set)
# 构建 NetworkX 图(需要转换回 dict 格式)
@@ -288,15 +272,6 @@ def read_node_link_json(
physical_setup_graph = nx.node_link_graph(graph_data, edges="links", multigraph=False)
handle_communications(physical_setup_graph)
# Stamp machine_name on device trees only (resources are cloud-managed)
local_machine = BasicConfig.machine_name or "本地"
for tree in resource_tree_set.trees:
if tree.root_node.res_content.type != "device":
continue
for node in tree.get_all_nodes():
if not node.res_content.machine_name:
node.res_content.machine_name = local_machine
return physical_setup_graph, resource_tree_set, standardized_links
@@ -309,8 +284,6 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
edge["sourceHandle"] = port[source]
elif "source_port" in edge:
edge["sourceHandle"] = edge.pop("source_port")
elif "source_handle" in edge:
edge["sourceHandle"] = edge.pop("source_handle")
else:
typ = edge.get("type")
if typ == "communication":
@@ -319,8 +292,6 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
edge["targetHandle"] = port[target]
elif "target_port" in edge:
edge["targetHandle"] = edge.pop("target_port")
elif "target_handle" in edge:
edge["targetHandle"] = edge.pop("target_handle")
else:
typ = edge.get("type")
if typ == "communication":
@@ -381,15 +352,6 @@ def read_graphml(graphml_file: str) -> tuple[nx.Graph, ResourceTreeSet, List[Dic
physical_setup_graph = nx.node_link_graph(graph_data, link="links", multigraph=False)
handle_communications(physical_setup_graph)
# Stamp machine_name on device trees only (resources are cloud-managed)
local_machine = BasicConfig.machine_name or "本地"
for tree in resource_tree_set.trees:
if tree.root_node.res_content.type != "device":
continue
for node in tree.get_all_nodes():
if not node.res_content.machine_name:
node.res_content.machine_name = local_machine
return physical_setup_graph, resource_tree_set, standardized_links
@@ -635,8 +597,6 @@ def resource_plr_to_ulab(resource_plr: "ResourcePLR", parent_name: str = None, w
"tube": "tube",
"bottle_carrier": "bottle_carrier",
"plate_adapter": "plate_adapter",
"electrode_sheet": "electrode_sheet",
"material_hole": "material_hole",
}
if source in replace_info:
return replace_info[source]

View File

@@ -5,8 +5,6 @@ from pydantic import BaseModel, field_serializer, field_validator, ValidationErr
from pydantic import Field
from typing import List, Tuple, Any, Dict, Literal, Optional, cast, TYPE_CHECKING, Union
from typing_extensions import TypedDict
from unilabos.resources.plr_additional_res_reg import register
from unilabos.utils.log import logger
@@ -15,76 +13,24 @@ if TYPE_CHECKING:
from pylabrobot.resources import Resource as PLRResource
EXTRA_CLASS = "unilabos_resource_class"
FRONTEND_POSE_EXTRA = "unilabos_frontend_pose_extra"
EXTRA_SAMPLE_UUID = "sample_uuid"
EXTRA_UNILABOS_SAMPLE_UUID = "unilabos_sample_uuid"
# 函数参数名常量 - 用于自动注入 sample_uuids 列表
PARAM_SAMPLE_UUIDS = "sample_uuids"
# JSON Command 中的系统参数字段名
JSON_UNILABOS_PARAM = "unilabos_param"
# 返回值中的 samples 字段名
RETURN_UNILABOS_SAMPLES = "unilabos_samples"
# sample_uuids 参数类型 (用于 virtual bench 等设备添加 sample_uuids 参数)
SampleUUIDsType = Dict[str, Optional["PLRResource"]]
class LabSample(TypedDict):
sample_uuid: str
oss_path: str
extra: Dict[str, Any]
class ResourceDictPositionSizeType(TypedDict):
depth: float
width: float
height: float
class ResourceDictPositionSize(BaseModel):
depth: float = Field(description="Depth", default=0.0) # z
width: float = Field(description="Width", default=0.0) # x
height: float = Field(description="Height", default=0.0) # y
class ResourceDictPositionScaleType(TypedDict):
x: float
y: float
z: float
class ResourceDictPositionScale(BaseModel):
x: float = Field(description="x scale", default=0.0)
y: float = Field(description="y scale", default=0.0)
z: float = Field(description="z scale", default=0.0)
class ResourceDictPositionObjectType(TypedDict):
x: float
y: float
z: float
class ResourceDictPositionObject(BaseModel):
x: float = Field(description="X coordinate", default=0.0)
y: float = Field(description="Y coordinate", default=0.0)
z: float = Field(description="Z coordinate", default=0.0)
class ResourceDictPositionType(TypedDict):
size: ResourceDictPositionSizeType
scale: ResourceDictPositionScaleType
layout: Literal["2d", "x-y", "z-y", "x-z"]
position: ResourceDictPositionObjectType
position3d: ResourceDictPositionObjectType
rotation: ResourceDictPositionObjectType
cross_section_type: Literal["rectangle", "circle", "rounded_rectangle"]
class ResourceDictPosition(BaseModel):
size: ResourceDictPositionSize = Field(description="Resource size", default_factory=ResourceDictPositionSize)
scale: ResourceDictPositionScale = Field(description="Resource scale", default_factory=ResourceDictPositionScale)
@@ -101,26 +47,6 @@ class ResourceDictPosition(BaseModel):
cross_section_type: Literal["rectangle", "circle", "rounded_rectangle"] = Field(
description="Cross section type", default="rectangle"
)
extra: Optional[Dict[str, Any]] = Field(description="Extra data", default=None)
class ResourceDictType(TypedDict):
id: str
uuid: str
name: str
description: str
resource_schema: Dict[str, Any]
model: Dict[str, Any]
icon: str
parent_uuid: Optional[str]
parent: Optional["ResourceDictType"]
type: Union[Literal["device"], str]
klass: str
pose: ResourceDictPositionType
config: Dict[str, Any]
data: Dict[str, Any]
extra: Dict[str, Any]
machine_name: str
# 统一的资源字典模型parent 自动序列化为 parent_uuidchildren 不序列化
@@ -140,9 +66,8 @@ class ResourceDict(BaseModel):
klass: str = Field(alias="class", description="Resource class name")
pose: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition)
config: Dict[str, Any] = Field(description="Resource configuration")
data: Dict[str, Any] = Field(description="Resource data, eg: container liquid data")
extra: Dict[str, Any] = Field(description="Extra data, eg: slot index")
machine_name: str = Field(description="Machine this resource belongs to", default="")
data: Dict[str, Any] = Field(description="Resource data")
extra: Dict[str, Any] = Field(description="Extra data")
@field_serializer("parent_uuid")
def _serialize_parent(self, parent_uuid: Optional["ResourceDict"]):
@@ -198,30 +123,22 @@ class ResourceDictInstance(object):
self.typ = "dict"
@classmethod
def get_resource_instance_from_dict(cls, content: ResourceDictType) -> "ResourceDictInstance":
def get_resource_instance_from_dict(cls, content: Dict[str, Any]) -> "ResourceDictInstance":
"""从字典创建资源实例"""
if "id" not in content:
content["id"] = content["name"]
if "uuid" not in content:
content["uuid"] = str(uuid.uuid4())
if "description" in content and content["description"] is None:
# noinspection PyTypedDict
del content["description"]
if "model" in content and content["model"] is None:
# noinspection PyTypedDict
del content["model"]
# noinspection PyTypedDict
if "schema" in content and content["schema"] is None:
# noinspection PyTypedDict
del content["schema"]
# noinspection PyTypedDict
if "x" in content.get("position", {}):
# 说明是老版本的position格式转换成新的
# noinspection PyTypedDict
content["position"] = {"position": content["position"]}
# noinspection PyTypedDict
if not content.get("class"):
# noinspection PyTypedDict
content["class"] = ""
if not content.get("config"): # todo: 后续从后端保证字段非空
content["config"] = {}
@@ -232,18 +149,16 @@ class ResourceDictInstance(object):
if "position" in content:
pose = content.get("pose", {})
if "position" not in pose:
# noinspection PyTypedDict
if "position" in content["position"]:
# noinspection PyTypedDict
pose["position"] = content["position"]["position"]
else:
pose["position"] = ResourceDictPositionObjectType(x=0, y=0, z=0)
pose["position"] = {"x": 0, "y": 0, "z": 0}
if "size" not in pose:
pose["size"] = ResourceDictPositionSizeType(
width= content["config"].get("size_x", 0),
height= content["config"].get("size_y", 0),
depth= content["config"].get("size_z", 0),
)
pose["size"] = {
"width": content["config"].get("size_x", 0),
"height": content["config"].get("size_y", 0),
"depth": content["config"].get("size_z", 0),
}
content["pose"] = pose
try:
res_dict = ResourceDict.model_validate(content)
@@ -411,7 +326,7 @@ class ResourceTreeSet(object):
)
@classmethod
def from_plr_resources(cls, resources: List["PLRResource"], known_newly_created=False, old_size=False) -> "ResourceTreeSet":
def from_plr_resources(cls, resources: List["PLRResource"], known_newly_created=False) -> "ResourceTreeSet":
"""
从plr资源创建ResourceTreeSet
"""
@@ -425,29 +340,13 @@ class ResourceTreeSet(object):
"tip_spot": "tip_spot",
"tube": "tube",
"bottle_carrier": "bottle_carrier",
"material_hole": "material_hole",
"container": "container",
"material_plate": "material_plate",
"electrode_sheet": "electrode_sheet",
"warehouse": "warehouse",
"magazine_holder": "magazine_holder",
"resource_group": "resource_group",
"trash": "trash",
"plate_adapter": "plate_adapter",
"consumable": "consumable",
"tool": "tool",
"condenser": "condenser",
"crucible": "crucible",
"reagent_bottle": "reagent_bottle",
"flask": "flask",
"beaker": "beaker",
}
if source in replace_info:
return replace_info[source]
elif source is None:
return ""
else:
logger.trace(f"转换pylabrobot的时候出现未知类型 {source}")
print("转换pylabrobot的时候出现未知类型", source)
return source
def build_uuid_mapping(res: "PLRResource", uuid_list: list, parent_uuid: Optional[str] = None):
@@ -484,7 +383,6 @@ class ResourceTreeSet(object):
"position3d": raw_pos,
"rotation": d["rotation"],
"cross_section_type": d.get("cross_section_type", "rectangle"),
"extra": extra.get(FRONTEND_POSE_EXTRA)
}
# 先构建当前节点的字典不包含children
@@ -495,14 +393,14 @@ class ResourceTreeSet(object):
"parent": parent_resource, # 直接传入 ResourceDict 对象
"parent_uuid": parent_uuid, # 使用 parent_uuid 而不是 parent 对象
"type": replace_plr_type(d.get("category", "")),
"class": extra.get(EXTRA_CLASS, ""),
"class": d.get("class", ""),
"position": pos,
"pose": pos,
"config": {
k: v
for k, v in d.items()
if k
not in ([
not in [
"name",
"children",
"parent_name",
@@ -513,15 +411,7 @@ class ResourceTreeSet(object):
"size_z",
"cross_section_type",
"bottom_type",
] if not old_size else [
"name",
"children",
"parent_name",
"location",
"rotation",
"cross_section_type",
"bottom_type",
])
]
},
"data": states[d["name"]],
"extra": extra,
@@ -553,7 +443,7 @@ class ResourceTreeSet(object):
trees.append(tree_instance)
return cls(trees)
def to_plr_resources(self, skip_devices=True) -> List["PLRResource"]:
def to_plr_resources(self) -> List["PLRResource"]:
"""
将 ResourceTreeSet 转换为 PLR 资源列表
@@ -578,8 +468,6 @@ class ResourceTreeSet(object):
name_to_uuid[node.res_content.name] = node.res_content.uuid
all_states[node.res_content.name] = node.res_content.data
name_to_extra[node.res_content.name] = node.res_content.extra
name_to_extra[node.res_content.name][FRONTEND_POSE_EXTRA] = node.res_content.pose.extra
name_to_extra[node.res_content.name][EXTRA_CLASS] = node.res_content.klass
for child in node.children:
collect_node_data(child, name_to_uuid, all_states, name_to_extra)
@@ -624,10 +512,7 @@ class ResourceTreeSet(object):
plr_dict = node_to_plr_dict(tree.root_node, has_model)
try:
sub_cls = find_subclass(plr_dict["type"], PLRResource)
if skip_devices and plr_dict["type"] == "device":
logger.info(f"跳过更新 {plr_dict['name']} 设备是class")
continue
elif sub_cls is None:
if sub_cls is None:
raise ValueError(
f"无法找到类型 {plr_dict['type']} 对应的 PLR 资源类。原始信息:{tree.root_node.res_content}"
)
@@ -635,11 +520,6 @@ class ResourceTreeSet(object):
if "category" not in spec.parameters:
plr_dict.pop("category", None)
plr_resource = sub_cls.deserialize(plr_dict, allow_marshal=True)
from pylabrobot.resources import Coordinate
from pylabrobot.serializer import deserialize
location = cast(Coordinate, deserialize(plr_dict["location"]))
plr_resource.location = location
plr_resource.load_all_state(all_states)
# 使用 DeviceNodeResourceTracker 设置 UUID 和 Extra
tracker.loop_set_uuid(plr_resource, name_to_uuid)
@@ -647,7 +527,7 @@ class ResourceTreeSet(object):
plr_resources.append(plr_resource)
except Exception as e:
logger.error(f"转换 PLR 资源失败: {e} {str(plr_dict)[:1000]}")
logger.error(f"转换 PLR 资源失败: {e}")
import traceback
logger.error(f"堆栈: {traceback.format_exc()}")
@@ -820,8 +700,7 @@ class ResourceTreeSet(object):
if remote_root_type == "device":
# 情况1: 一级是 device
if remote_root_id not in local_device_map:
if remote_root_id != "host_node":
logger.warning(f"Device '{remote_root_id}' 在本地不存在,跳过该 device 下的物料同步")
logger.warning(f"Device '{remote_root_id}' 在本地不存在,跳过该 device 下的物料同步")
continue
local_device = local_device_map[remote_root_id]
@@ -868,27 +747,14 @@ class ResourceTreeSet(object):
f"从远端同步了 {added_count} 个物料子树"
)
else:
# 二级物料已存在,比较三级子节点是否缺失
local_material = local_children_map[remote_child_name]
local_material_children_map = {child.res_content.name: child for child in
local_material.children}
added_count = 0
for remote_sub in remote_child.children:
remote_sub_name = remote_sub.res_content.name
if remote_sub_name not in local_material_children_map:
remote_sub.res_content.parent = local_material.res_content
local_material.children.append(remote_sub)
added_count += 1
else:
logger.info(
f"物料 '{remote_root_id}/{remote_child_name}/{remote_sub_name}' "
f"已存在,跳过"
)
if added_count > 0:
logger.info(
f"物料 '{remote_root_id}/{remote_child_name}': "
f"从远端同步了 {added_count} 个子物料"
)
# 情况2: 二级物料(不是 device
if remote_child_name not in local_children_map:
# 引入整个子树
remote_child.res_content.parent = local_device.res_content
local_device.children.append(remote_child)
logger.info(f"Device '{remote_root_id}': 从远端同步物料子树 '{remote_child_name}'")
else:
logger.info(f"物料 '{remote_root_id}/{remote_child_name}' 已存在,跳过")
else:
# 情况1: 一级节点是物料(不是 device
# 检查是否已存在
@@ -911,7 +777,7 @@ class ResourceTreeSet(object):
return self
def dump(self, old_position=False) -> List[List[Dict[str, Any]]]:
def dump(self) -> List[List[Dict[str, Any]]]:
"""
将 ResourceTreeSet 序列化为嵌套列表格式
@@ -927,10 +793,6 @@ class ResourceTreeSet(object):
# 获取树的所有节点并序列化
tree_nodes = [node.res_content.model_dump(by_alias=True) for node in tree.get_all_nodes()]
result.append(tree_nodes)
if old_position:
for r in result:
for rr in r:
rr["position"] = rr["pose"]["position"]
return result
@classmethod
@@ -1124,7 +986,7 @@ class DeviceNodeResourceTracker(object):
extra = name_to_extra_map[resource_name]
self.set_resource_extra(res, extra)
if len(extra):
logger.trace(f"设置资源Extra: {resource_name} -> {extra}")
logger.debug(f"设置资源Extra: {resource_name} -> {extra}")
return 1
return 0

View File

@@ -44,7 +44,8 @@ def ros2_device_node(
# 从属性中自动发现可发布状态
if status_types is None:
status_types = {}
assert device_config is not None, "device_config cannot be None"
if device_config is None:
raise ValueError("device_config cannot be None")
if action_value_mappings is None:
action_value_mappings = {}
if hardware_interface is None:

View File

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

View File

@@ -4,20 +4,8 @@ import json
import threading
import time
import traceback
from typing import (
get_type_hints,
TypeVar,
Generic,
Dict,
Any,
Type,
TypedDict,
Optional,
List,
TYPE_CHECKING,
Union,
Tuple,
)
from typing import get_type_hints, TypeVar, Generic, Dict, Any, Type, TypedDict, Optional, List, TYPE_CHECKING, Union, \
Tuple
from concurrent.futures import ThreadPoolExecutor
import asyncio
@@ -34,8 +22,7 @@ from unilabos_msgs.action import SendCmd
from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
from unilabos.config.config import BasicConfig
from unilabos.registry.decorators import get_topic_config
from unilabos.utils.decorator import get_all_subscriptions
from unilabos.utils.decorator import get_topic_config, get_all_subscriptions
from unilabos.resources.container import RegularContainer
from unilabos.resources.graphio import (
@@ -58,13 +45,9 @@ from unilabos_msgs.msg import Resource # type: ignore
from unilabos.resources.resource_tracker import (
DeviceNodeResourceTracker,
ResourceDictType,
ResourceTreeSet,
ResourceTreeInstance,
ResourceDictInstance,
EXTRA_SAMPLE_UUID,
PARAM_SAMPLE_UUIDS,
JSON_UNILABOS_PARAM,
)
from unilabos.ros.utils.driver_creator import WorkstationNodeCreator, PyLabRobotCreator, DeviceClassCreator
from rclpy.task import Task, Future
@@ -148,7 +131,7 @@ def init_wrapper(
device_id: str,
device_uuid: str,
driver_class: type[T],
device_config: ResourceDictInstance,
device_config: ResourceTreeInstance,
status_types: Dict[str, Any],
action_value_mappings: Dict[str, Any],
hardware_interface: Dict[str, Any],
@@ -196,9 +179,9 @@ class PropertyPublisher:
self._value = None
try:
self.publisher_ = node.create_publisher(msg_type, f"{name}", qos)
except Exception as e:
except AttributeError as ex:
self.node.lab_logger().error(
f"StatusError, DeviceId: {self.node.device_id} 创建发布者 {name} 失败,可能由于注册表有误,类型: {msg_type},错误: {e}"
f"创建发布者 {name} 失败,可能由于注册表有误,类型: {msg_type},错误: {ex}\n{traceback.format_exc()}"
)
self.timer = node.create_timer(self.timer_period, self.publish_property)
self.__loop = ROS2DeviceNode.get_asyncio_loop()
@@ -233,15 +216,14 @@ class PropertyPublisher:
def publish_property(self):
try:
# self.node.lab_logger().trace(f"【.publish_property】开始发布属性: {self.name}")
self.node.lab_logger().trace(f"【.publish_property】开始发布属性: {self.name}")
value = self.get_property()
if self.print_publish:
pass
# self.node.lab_logger().trace(f"【.publish_property】发布 {self.msg_type}: {value}")
self.node.lab_logger().trace(f"【.publish_property】发布 {self.msg_type}: {value}")
if value is not None:
msg = convert_to_ros_msg(self.msg_type, value)
self.publisher_.publish(msg)
# self.node.lab_logger().trace(f"【.publish_property】属性 {self.name} 发布成功")
self.node.lab_logger().trace(f"【.publish_property】属性 {self.name} 发布成功")
except Exception as e:
self.node.lab_logger().error(
f"【.publish_property】发布属性 {self.publisher_.topic} 出错: {str(e)}\n{traceback.format_exc()}"
@@ -281,7 +263,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
self,
driver_instance: T,
device_id: str,
registry_name: str,
device_uuid: str,
status_types: Dict[str, Any],
action_value_mappings: Dict[str, Any],
@@ -303,7 +284,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
"""
self.driver_instance = driver_instance
self.device_id = device_id
self.registry_name = registry_name
self.uuid = device_uuid
self.publish_high_frequency = False
self.callback_group = ReentrantCallbackGroup()
@@ -381,7 +361,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
from pylabrobot.resources.deck import Deck
from pylabrobot.resources import Coordinate
from pylabrobot.resources import Plate
# 物料传输到对应的node节点
client = self._resource_clients["c2s_update_resource_tree"]
request = SerialCommand.Request()
@@ -409,29 +388,33 @@ class BaseROS2DeviceNode(Node, Generic[T]):
rts: ResourceTreeSet = ResourceTreeSet.from_raw_dict_list(input_resources)
parent_resource = None
if bind_parent_id != self.node_name:
parent_resource = self.resource_tracker.figure_resource({"name": bind_parent_id})
parent_resource = self.resource_tracker.figure_resource(
{"name": bind_parent_id}
)
for r in rts.root_nodes:
# noinspection PyUnresolvedReferences
r.res_content.parent_uuid = parent_resource.unilabos_uuid
else:
for r in rts.root_nodes:
r.res_content.parent_uuid = self.uuid
rts_plr_instances = rts.to_plr_resources()
if len(rts.root_nodes) == 1 and isinstance(rts_plr_instances[0], RegularContainer):
if len(LIQUID_INPUT_SLOT) and LIQUID_INPUT_SLOT[0] == -1 and len(rts.root_nodes) == 1 and isinstance(rts.root_nodes[0], RegularContainer):
# noinspection PyTypeChecker
container_instance: RegularContainer = rts_plr_instances[0]
container_instance: RegularContainer = rts.root_nodes[0]
found_resources = self.resource_tracker.figure_resource(
{"name": container_instance.name}, try_mode=True
{"id": container_instance.name}, try_mode=True
)
if not len(found_resources):
self.resource_tracker.add_resource(container_instance)
logger.info(f"添加物料{container_instance.name}到资源跟踪器")
else:
assert len(found_resources) == 1, f"找到多个同名物料: {container_instance.name}, 请检查物料系统"
assert (
len(found_resources) == 1
), f"找到多个同名物料: {container_instance.name}, 请检查物料系统"
found_resource = found_resources[0]
if isinstance(found_resource, RegularContainer):
logger.info(f"更新物料{container_instance.name}的数据{found_resource.state}")
found_resource.state.update(container_instance.state)
found_resource.state.update(json.loads(container_instance.state))
elif isinstance(found_resource, dict):
raise ValueError("已不支持 字典 版本的RegularContainer")
else:
@@ -439,16 +422,14 @@ class BaseROS2DeviceNode(Node, Generic[T]):
f"更新物料{container_instance.name}出现不支持的数据类型{type(found_resource)} {found_resource}"
)
# noinspection PyUnresolvedReferences
request.command = json.dumps(
{
"action": "add",
"data": {
"data": rts.dump(),
"mount_uuid": parent_resource.unilabos_uuid if parent_resource is not None else self.uuid,
"first_add": False,
},
}
)
request.command = json.dumps({
"action": "add",
"data": {
"data": rts.dump(),
"mount_uuid": parent_resource.unilabos_uuid if parent_resource is not None else "",
"first_add": False,
},
})
tree_response: SerialCommand.Response = await client.call_async(request)
uuid_maps = json.loads(tree_response.response)
plr_instances = rts.to_plr_resources()
@@ -462,7 +443,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
}
res.response = json.dumps(final_response)
# 如果driver自己就有assign的方法那就使用driver自己的assign方法
if hasattr(self.driver_instance, "create_resource") and self.node_name != "host_node":
if hasattr(self.driver_instance, "create_resource"):
create_resource_func = getattr(self.driver_instance, "create_resource")
try:
ret = create_resource_func(
@@ -490,9 +471,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if len(ADD_LIQUID_TYPE) == 1 and len(LIQUID_VOLUME) == 1 and len(LIQUID_INPUT_SLOT) > 1:
ADD_LIQUID_TYPE = ADD_LIQUID_TYPE * len(LIQUID_INPUT_SLOT)
LIQUID_VOLUME = LIQUID_VOLUME * len(LIQUID_INPUT_SLOT)
self.lab_logger().warning(
f"增加液体资源时数量为1自动补全为 {len(LIQUID_INPUT_SLOT)}"
)
self.lab_logger().warning(f"增加液体资源时数量为1自动补全为 {len(LIQUID_INPUT_SLOT)}")
for liquid_type, liquid_volume, liquid_input_slot in zip(
ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
):
@@ -511,15 +490,9 @@ class BaseROS2DeviceNode(Node, Generic[T]):
input_wells = []
for r in LIQUID_INPUT_SLOT:
input_wells.append(plr_instance.children[r])
final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(
input_wells
).dump()
final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(input_wells).dump()
res.response = json.dumps(final_response)
if (
issubclass(parent_resource.__class__, Deck)
and hasattr(parent_resource, "assign_child_at_slot")
and "slot" in other_calling_param
):
if issubclass(parent_resource.__class__, Deck) and hasattr(parent_resource, "assign_child_at_slot") and "slot" in other_calling_param:
other_calling_param["slot"] = int(other_calling_param["slot"])
parent_resource.assign_child_at_slot(plr_instance, **other_calling_param)
else:
@@ -534,16 +507,14 @@ class BaseROS2DeviceNode(Node, Generic[T]):
rts_with_parent = ResourceTreeSet.from_plr_resources([parent_resource])
if rts_with_parent.root_nodes[0].res_content.uuid_parent is None:
rts_with_parent.root_nodes[0].res_content.parent_uuid = self.uuid
request.command = json.dumps(
{
"action": "add",
"data": {
"data": rts_with_parent.dump(),
"mount_uuid": rts_with_parent.root_nodes[0].res_content.uuid_parent,
"first_add": False,
},
}
)
request.command = json.dumps({
"action": "add",
"data": {
"data": rts_with_parent.dump(),
"mount_uuid": rts_with_parent.root_nodes[0].res_content.uuid_parent,
"first_add": False,
},
})
tree_response: SerialCommand.Response = await client.call_async(request)
uuid_maps = json.loads(tree_response.response)
self.resource_tracker.loop_update_uuid(input_resources, uuid_maps)
@@ -571,11 +542,9 @@ class BaseROS2DeviceNode(Node, Generic[T]):
future.add_done_callback(done_cb)
except ImportError:
self.lab_logger().error("Host请求添加物料时本环境并不存在pylabrobot")
res.response = get_result_info_str(traceback.format_exc(), False, {})
except Exception as e:
self.lab_logger().error("Host请求添加物料时出错")
self.lab_logger().error(traceback.format_exc())
res.response = get_result_info_str(traceback.format_exc(), False, {})
return res
# noinspection PyTypeChecker
@@ -598,12 +567,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
self.s2c_resource_tree, # type: ignore
callback_group=self.callback_group,
),
"s2c_device_manage": self.create_service(
SerialCommand,
f"/srv{self.namespace}/s2c_device_manage",
self.s2c_device_manage, # type: ignore
callback_group=self.callback_group,
),
}
# 向全局在线设备注册表添加设备信息
@@ -848,9 +811,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
}
def _handle_update(
plr_resources: List[Union[ResourcePLR, ResourceDictInstance]],
tree_set: ResourceTreeSet,
additional_add_params: Dict[str, Any],
plr_resources: List[Union[ResourcePLR, ResourceDictInstance]], tree_set: ResourceTreeSet, additional_add_params: Dict[str, Any]
) -> Tuple[Dict[str, Any], List[ResourcePLR]]:
"""
处理资源更新操作的内部函数
@@ -875,10 +836,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
original_parent_resource = original_instance.parent
original_parent_resource_uuid = getattr(original_parent_resource, "unilabos_uuid", None)
target_parent_resource_uuid = tree.root_node.res_content.uuid_parent
not_same_parent = (
original_parent_resource_uuid != target_parent_resource_uuid
and original_parent_resource is not None
)
not_same_parent = original_parent_resource_uuid != target_parent_resource_uuid and original_parent_resource is not None
old_name = original_instance.name
new_name = plr_resource.name
parent_appended = False
@@ -914,35 +872,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
else:
# 判断是否变更了resource_site重新登记
target_site = original_instance.unilabos_extra.get("update_resource_site")
sites = (
original_instance.parent.sites
if original_instance.parent is not None and hasattr(original_instance.parent, "sites")
else None
)
site_names = (
list(original_instance.parent._ordering.keys())
if original_instance.parent is not None and hasattr(original_instance.parent, "sites")
else []
)
sites = original_instance.parent.sites if original_instance.parent is not None and hasattr(original_instance.parent, "sites") else None
site_names = list(original_instance.parent._ordering.keys()) if original_instance.parent is not None and hasattr(original_instance.parent, "sites") else []
if target_site is not None and sites is not None and site_names is not None:
site_index = None
try:
# sites 可能是 Resource 列表或 dict 列表 (如 PRCXI9300Deck)
# 只有itemized_carrier在使用准备弃用
site_index = sites.index(original_instance)
except ValueError:
# dict 类型的 sites: 通过name匹配
for idx, site in enumerate(sites):
if original_instance.name == site["occupied_by"]:
site_index = idx
break
elif (original_instance.location.x == site["position"]["x"] and original_instance.location.y == site["position"]["y"] and original_instance.location.z == site["position"]["z"]):
site_index = idx
break
if site_index is None:
site_name = None
else:
site_name = site_names[site_index]
site_index = sites.index(original_instance)
site_name = site_names[site_index]
if site_name != target_site:
parent = self.transfer_to_new_resource(original_instance, tree, additional_add_params)
if parent is not None:
@@ -950,17 +884,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
parent_appended = True
# 加载状态
# noinspection PyProtectedMember
original_instance._size_x = plr_resource._size_x
# noinspection PyProtectedMember
original_instance._size_y = plr_resource._size_y
# noinspection PyProtectedMember
original_instance._size_z = plr_resource._size_z
# noinspection PyProtectedMember
original_instance._local_size_z = plr_resource._local_size_z
original_instance.location = plr_resource.location
original_instance.rotation = plr_resource.rotation
original_instance.barcode = plr_resource.barcode
original_instance.load_all_state(states)
child_count = len(original_instance.get_all_children())
self.lab_logger().info(
@@ -984,7 +907,9 @@ class BaseROS2DeviceNode(Node, Generic[T]):
action = i.get("action") # remove, add, update
resources_uuid: List[str] = i.get("data") # 资源数据
additional_add_params = i.get("additional_add_params", {}) # 额外参数
self.lab_logger().trace(f"[资源同步] 处理 {action}, " f"resources count: {len(resources_uuid)}")
self.lab_logger().trace(
f"[资源同步] 处理 {action}, " f"resources count: {len(resources_uuid)}"
)
tree_set = None
if action in ["add", "update"]:
tree_set = await self.get_resource(
@@ -1011,14 +936,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
tree.root_node.res_content.parent_uuid = self.uuid
r = SerialCommand.Request()
r.command = json.dumps(
{"data": {"data": new_tree_set.dump()}, "action": "update"}
) # 和Update Resource一致
{"data": {"data": new_tree_set.dump()}, "action": "update"}) # 和Update Resource一致
response: SerialCommand_Response = await self._resource_clients[
"c2s_update_resource_tree"
].call_async(
r
) # type: ignore
self.lab_logger().trace(f"确认资源云端 Add 结果: {response.response}")
"c2s_update_resource_tree"].call_async(r) # type: ignore
self.lab_logger().info(f"确认资源云端 Add 结果: {response.response}")
results.append(result)
elif action == "update":
if tree_set is None:
@@ -1037,14 +958,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
tree.root_node.res_content.parent_uuid = self.uuid
r = SerialCommand.Request()
r.command = json.dumps(
{"data": {"data": new_tree_set.dump()}, "action": "update"}
) # 和Update Resource一致
{"data": {"data": new_tree_set.dump()}, "action": "update"}) # 和Update Resource一致
response: SerialCommand_Response = await self._resource_clients[
"c2s_update_resource_tree"
].call_async(
r
) # type: ignore
self.lab_logger().trace(f"确认资源云端 Update 结果: {response.response}")
"c2s_update_resource_tree"].call_async(r) # type: ignore
self.lab_logger().info(f"确认资源云端 Update 结果: {response.response}")
results.append(result)
elif action == "remove":
result = _handle_remove(resources_uuid)
@@ -1072,48 +989,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return res
async def s2c_device_manage(self, req: SerialCommand_Request, res: SerialCommand_Response):
"""Handle add/remove device requests from HostNode via SerialCommand."""
try:
cmd = json.loads(req.command)
action = cmd.get("action", "")
data = cmd.get("data", {})
device_id = data.get("device_id", "")
if not device_id:
res.response = json.dumps({"success": False, "error": "device_id required"})
return res
if action == "add":
result = self.create_device(device_id, data)
elif action == "remove":
result = self.destroy_device(device_id)
else:
result = {"success": False, "error": f"Unknown action: {action}"}
res.response = json.dumps(result, ensure_ascii=False)
except NotImplementedError as e:
self.lab_logger().warning(f"[DeviceManage] {e}")
res.response = json.dumps({"success": False, "error": str(e)})
except Exception as e:
self.lab_logger().error(f"[DeviceManage] Error: {e}")
res.response = json.dumps({"success": False, "error": str(e)})
return res
def create_device(self, device_id: str, config: "ResourceDictType") -> dict:
"""Create a sub-device dynamically. Override in HostNode / WorkstationNode."""
raise NotImplementedError(
f"{self.__class__.__name__} does not support dynamic device creation"
)
def destroy_device(self, device_id: str) -> dict:
"""Destroy a sub-device dynamically. Override in HostNode / WorkstationNode."""
raise NotImplementedError(
f"{self.__class__.__name__} does not support dynamic device removal"
)
async def transfer_resource_to_another(
self,
plr_resources: List["ResourcePLR"],
@@ -1232,7 +1107,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
"machine_name": BasicConfig.machine_name,
"type": "slave",
"edge_device_id": self.device_id,
"registry_name": self.registry_name,
}
},
ensure_ascii=False,
@@ -1256,40 +1130,22 @@ class BaseROS2DeviceNode(Node, Generic[T]):
return self._lab_logger
def create_ros_publisher(self, attr_name, msg_type, initial_period=5.0):
"""创建ROS发布者,仅当方法/属性有 @topic_config 装饰器时才创建。"""
# 检测 @topic_config 装饰器配置
"""创建ROS发布者"""
# 检测装饰器配置(支持 get_{attr_name} 方法和 @property
topic_config = {}
driver_class = type(self.driver_instance)
# 区分 @property 和普通方法两种情况
is_prop = hasattr(driver_class, attr_name) and isinstance(
getattr(driver_class, attr_name), property
)
# 优先检测 get_{attr_name} 方法
if hasattr(self.driver_instance, f"get_{attr_name}"):
getter_method = getattr(self.driver_instance, f"get_{attr_name}")
topic_config = get_topic_config(getter_method)
if is_prop:
# @property: 检测 fget 上的 @topic_config
class_attr = getattr(driver_class, attr_name)
if class_attr.fget is not None:
topic_config = get_topic_config(class_attr.fget)
else:
# 普通方法: 直接检测 attr_name 方法上的 @topic_config
if hasattr(self.driver_instance, attr_name):
method = getattr(self.driver_instance, attr_name)
if callable(method):
topic_config = get_topic_config(method)
# 没有 @topic_config 装饰器则跳过发布
# 如果没有配置,检测 @property 装饰的属性
if not topic_config:
return
# 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
cfg_name = topic_config.get("name")
if cfg_name:
publish_name = cfg_name
elif attr_name.startswith("get_"):
publish_name = attr_name[4:]
else:
publish_name = attr_name
driver_class = type(self.driver_instance)
if hasattr(driver_class, attr_name):
class_attr = getattr(driver_class, attr_name)
if isinstance(class_attr, property) and class_attr.fget is not None:
topic_config = get_topic_config(class_attr.fget)
# 使用装饰器配置或默认值
cfg_period = topic_config.get("period")
@@ -1302,10 +1158,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# 获取属性值的方法
def get_device_attr():
try:
if is_prop:
return getattr(self.driver_instance, attr_name)
if hasattr(self.driver_instance, f"get_{attr_name}"):
return getattr(self.driver_instance, f"get_{attr_name}")()
else:
return getattr(self.driver_instance, attr_name)()
return getattr(self.driver_instance, attr_name)
except AttributeError as ex:
if ex.args[0].startswith(f"AttributeError: '{self.driver_instance.__class__.__name__}' object"):
self.lab_logger().error(
@@ -1317,8 +1173,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
self.lab_logger().error(traceback.format_exc())
self._property_publishers[publish_name] = PropertyPublisher(
self, publish_name, get_device_attr, msg_type, period, print_publish, qos
self._property_publishers[attr_name] = PropertyPublisher(
self, attr_name, get_device_attr, msg_type, period, print_publish, qos
)
def create_ros_action_server(self, action_name, action_value_mapping):
@@ -1326,17 +1182,14 @@ class BaseROS2DeviceNode(Node, Generic[T]):
action_type = action_value_mapping["type"]
str_action_type = str(action_type)[8:-2]
try:
self._action_servers[action_name] = ActionServer(
self,
action_type,
action_name,
execute_callback=self._create_execute_callback(action_name, action_value_mapping),
callback_group=self.callback_group,
)
except Exception as e:
self.lab_logger().error(f"创建ActionServer失败Device: {self.device_id}, Action Name: {action_name}, Action Type: {action_type}, Error: {e}")
return
self._action_servers[action_name] = ActionServer(
self,
action_type,
action_name,
execute_callback=self._create_execute_callback(action_name, action_value_mapping),
callback_group=self.callback_group,
)
self.lab_logger().trace(f"发布动作: {action_name}, 类型: {str_action_type}")
def _setup_decorated_subscribers(self):
@@ -1466,41 +1319,26 @@ class BaseROS2DeviceNode(Node, Generic[T]):
resource_inputs = action_kwargs[k] if is_sequence else [action_kwargs[k]]
# 批量查询资源
queried_resources: list = [None] * len(resource_inputs)
uuid_indices: list[tuple[int, str, dict]] = [] # (index, uuid, resource_data)
# 第一遍处理没有uuid的资源收集有uuid的资源信息
for idx, resource_data in enumerate(resource_inputs):
queried_resources = []
for resource_data in resource_inputs:
unilabos_uuid = resource_data.get("data", {}).get("unilabos_uuid")
if unilabos_uuid is None:
plr_resource = await self.get_resource_with_dir(
resource_id=resource_data["id"], with_children=True
)
if "sample_id" in resource_data:
plr_resource.unilabos_extra[EXTRA_SAMPLE_UUID] = resource_data["sample_id"]
queried_resources[idx] = plr_resource
else:
uuid_indices.append((idx, unilabos_uuid, resource_data))
# 第二遍批量查询有uuid的资源
if uuid_indices:
uuids = [item[1] for item in uuid_indices]
resource_tree = await self.get_resource(uuids)
plr_resources = resource_tree.to_plr_resources()
for i, (idx, _, resource_data) in enumerate(uuid_indices):
plr_resource = plr_resources[i]
if "sample_id" in resource_data:
plr_resource.unilabos_extra[EXTRA_SAMPLE_UUID] = resource_data["sample_id"]
queried_resources[idx] = plr_resource
resource_tree = await self.get_resource([unilabos_uuid])
plr_resource = resource_tree.to_plr_resources()[0]
if "sample_id" in resource_data:
plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
queried_resources.append(plr_resource)
self.lab_logger().debug(f"资源查询结果: 共 {len(queried_resources)} 个资源")
# 通过资源跟踪器获取本地实例
final_resources = queried_resources if is_sequence else queried_resources[0]
if not is_sequence:
plr = self.resource_tracker.figure_resource(
{"name": final_resources.name}, try_mode=False
)
plr = self.resource_tracker.figure_resource({"name": final_resources.name}, try_mode=False)
# 保留unilabos_extra
if hasattr(final_resources, "unilabos_extra") and hasattr(plr, "unilabos_extra"):
plr.unilabos_extra = getattr(final_resources, "unilabos_extra", {}).copy()
@@ -1539,12 +1377,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
execution_success = True
except Exception as _:
execution_error = traceback.format_exc()
error(
f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{str(action_kwargs)[:1000]}"
)
trace(
f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}"
)
error(f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{str(action_kwargs)[:1000]}")
trace(f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}")
future = ROS2DeviceNode.run_async_func(ACTION, trace_error=False, **action_kwargs)
future.add_done_callback(_handle_future_exception)
@@ -1564,11 +1398,9 @@ class BaseROS2DeviceNode(Node, Generic[T]):
except Exception as _:
execution_error = traceback.format_exc()
error(
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{str(action_kwargs)[:1000]}"
)
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{str(action_kwargs)[:1000]}")
trace(
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}"
)
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}")
future.add_done_callback(_handle_future_exception)
@@ -1635,18 +1467,11 @@ class BaseROS2DeviceNode(Node, Generic[T]):
if isinstance(rs, list):
for r in rs:
res = self.resource_tracker.parent_resource(r) # 获取 resource 对象
if res is None:
res = rs
if id(res) not in seen:
seen.add(id(res))
unique_resources.append(res)
else:
res = self.resource_tracker.parent_resource(rs)
if res is None:
res = rs
if id(res) not in seen:
seen.add(id(res))
unique_resources.append(res)
if id(res) not in seen:
seen.add(id(res))
unique_resources.append(res)
# 使用新的资源树接口
if unique_resources:
@@ -1698,37 +1523,20 @@ class BaseROS2DeviceNode(Node, Generic[T]):
try:
function_name = target["function_name"]
function_args = target["function_args"]
# 获取 unilabos 系统参数
unilabos_param: Dict[str, Any] = target[JSON_UNILABOS_PARAM]
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}"
# 处理参数(包含 unilabos 系统参数如 sample_uuids
args_list = default_manager._analyze_method_signature(function, skip_unilabos_params=False)["args"]
# 处理 ResourceSlot 类型参数
args_list = default_manager._analyze_method_signature(function)["args"]
for arg in args_list:
arg_name = arg["name"]
arg_type = arg["type"]
# 跳过不在 function_args 中的参数
if arg_name not in function_args:
# 处理 sample_uuids 参数注入
if arg_name == PARAM_SAMPLE_UUIDS:
raw_sample_uuids = unilabos_param.get(PARAM_SAMPLE_UUIDS, {})
# 将 material uuid 转换为 resource 实例
# key: sample_uuid, value: material_uuid -> resource 实例
resolved_sample_uuids: Dict[str, Any] = {}
for sample_uuid, material_uuid in raw_sample_uuids.items():
if material_uuid and self.resource_tracker:
resource = self.resource_tracker.uuid_to_resources.get(material_uuid)
resolved_sample_uuids[sample_uuid] = resource if resource else material_uuid
else:
resolved_sample_uuids[sample_uuid] = material_uuid
function_args[PARAM_SAMPLE_UUIDS] = resolved_sample_uuids
self.lab_logger().debug(f"[JsonCommand] 注入 {PARAM_SAMPLE_UUIDS}: {resolved_sample_uuids}")
continue
# 处理单个 ResourceSlot
@@ -1758,7 +1566,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
)
raise JsonCommandInitError(f"ResourceSlot列表参数转换失败: {arg_name}")
# todo: 默认反报送
return function(**function_args)
except KeyError as ex:
raise JsonCommandInitError(
@@ -1778,23 +1585,21 @@ class BaseROS2DeviceNode(Node, Generic[T]):
raise ValueError("至少需要提供一个 UUID")
uuids_list = list(uuids)
future = self._resource_clients["c2s_update_resource_tree"].call_async(
SerialCommand.Request(
command=json.dumps(
{
"data": {"data": uuids_list, "with_children": True},
"action": "get",
}
)
future = self._resource_clients["c2s_update_resource_tree"].call_async(SerialCommand.Request(
command=json.dumps(
{
"data": {"data": uuids_list, "with_children": True},
"action": "get",
}
)
)
))
# 等待结果使用while循环每次sleep 0.05秒最多等待30秒
timeout = 30.0
elapsed = 0.0
while not future.done() and elapsed < timeout:
time.sleep(0.02)
elapsed += 0.02
time.sleep(0.05)
elapsed += 0.05
if not future.done():
raise Exception(f"资源查询超时: {uuids_list}")
@@ -1845,9 +1650,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
try:
function_name = target["function_name"]
function_args = target["function_args"]
# 获取 unilabos 系统参数
unilabos_param: Dict[str, Any] = target.get(JSON_UNILABOS_PARAM, {})
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(
@@ -1857,30 +1659,14 @@ class BaseROS2DeviceNode(Node, Generic[T]):
function
), f"执行动作时JSON中的function并非异步: {function_name}\n原JSON: {string}"
# 处理参数(包含 unilabos 系统参数如 sample_uuids
args_list = default_manager._analyze_method_signature(function, skip_unilabos_params=False)["args"]
# 处理 ResourceSlot 类型参数
args_list = default_manager._analyze_method_signature(function)["args"]
for arg in args_list:
arg_name = arg["name"]
arg_type = arg["type"]
# 跳过不在 function_args 中的参数
if arg_name not in function_args:
# 处理 sample_uuids 参数注入
if arg_name == PARAM_SAMPLE_UUIDS:
raw_sample_uuids = unilabos_param.get(PARAM_SAMPLE_UUIDS, {})
# 将 material uuid 转换为 resource 实例
# key: sample_uuid, value: material_uuid -> resource 实例
resolved_sample_uuids: Dict[str, Any] = {}
for sample_uuid, material_uuid in raw_sample_uuids.items():
if material_uuid and self.resource_tracker:
resource = self.resource_tracker.uuid_to_resources.get(material_uuid)
resolved_sample_uuids[sample_uuid] = resource if resource else material_uuid
else:
resolved_sample_uuids[sample_uuid] = material_uuid
function_args[PARAM_SAMPLE_UUIDS] = resolved_sample_uuids
self.lab_logger().debug(
f"[JsonCommandAsync] 注入 {PARAM_SAMPLE_UUIDS}: {resolved_sample_uuids}"
)
continue
# 处理单个 ResourceSlot
@@ -2105,7 +1891,6 @@ class ROS2DeviceNode:
if driver_is_ros:
driver_params["device_id"] = device_id
driver_params["registry_name"] = device_config.res_content.klass
driver_params["resource_tracker"] = self.resource_tracker
self._driver_instance = self._driver_creator.create_instance(driver_params)
if self._driver_instance is None:
@@ -2123,7 +1908,6 @@ class ROS2DeviceNode:
children=children,
driver_instance=self._driver_instance, # type: ignore
device_id=device_id,
registry_name=device_config.res_content.klass,
device_uuid=device_uuid,
status_types=status_types,
action_value_mappings=action_value_mappings,
@@ -2135,7 +1919,6 @@ class ROS2DeviceNode:
self._ros_node = BaseROS2DeviceNode(
driver_instance=self._driver_instance,
device_id=device_id,
registry_name=device_config.res_content.klass,
device_uuid=device_uuid,
status_types=status_types,
action_value_mappings=action_value_mappings,
@@ -2144,7 +1927,6 @@ class ROS2DeviceNode:
resource_tracker=self.resource_tracker,
)
self._ros_node: BaseROS2DeviceNode
# 将注册表类型名传递给BaseROS2DeviceNode,用于slave上报
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._ros_node._execute_driver_command # type: ignore
@@ -2162,9 +1944,7 @@ class ROS2DeviceNode:
asyncio.set_event_loop(loop)
loop.run_forever()
ROS2DeviceNode._asyncio_loop_thread = threading.Thread(
target=run_event_loop, daemon=True, name="ROS2DeviceNode"
)
ROS2DeviceNode._asyncio_loop_thread = threading.Thread(target=run_event_loop, daemon=True, name="ROS2DeviceNode")
ROS2DeviceNode._asyncio_loop_thread.start()
logger.info(f"循环线程已启动")

View File

@@ -4,22 +4,14 @@ import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker
from unilabos.registry.decorators import device
@device(
id="camera",
category=["camera"],
description="""VideoPublisher摄像头设备节点用于实时视频采集和流媒体发布。该设备通过OpenCV连接本地摄像头如USB摄像头、内置摄像头等定时采集视频帧并将其转换为ROS2的sensor_msgs/Image消息格式发布到视频话题。主要用于实验室自动化系统中的视觉监控、图像分析、实时观察等应用场景。支持可配置的摄像头索引、发布频率等参数。""",
)
class VideoPublisher(BaseROS2DeviceNode):
def __init__(self, device_id='video_publisher', registry_name="", device_uuid='', camera_index=0, period: float = 0.1, resource_tracker: DeviceNodeResourceTracker = None):
def __init__(self, device_id='video_publisher', device_uuid='', camera_index=0, period: float = 0.1, resource_tracker: DeviceNodeResourceTracker = None):
# 初始化BaseROS2DeviceNode使用自身作为driver_instance
BaseROS2DeviceNode.__init__(
self,
driver_instance=self,
device_id=device_id,
registry_name=registry_name,
device_uuid=device_uuid,
status_types={},
action_value_mappings={},

View File

@@ -10,7 +10,6 @@ class ControllerNode(BaseROS2DeviceNode):
def __init__(
self,
device_id: str,
registry_name: str,
controller_func: Callable,
update_rate: float,
inputs: Dict[str, Dict[str, type | str]],
@@ -52,7 +51,6 @@ class ControllerNode(BaseROS2DeviceNode):
self,
driver_instance=self,
device_id=device_id,
registry_name=registry_name,
status_types=status_types,
action_value_mappings=action_value_mappings,
hardware_interface=hardware_interface,

View File

@@ -1,18 +1,17 @@
import collections
from dataclasses import dataclass, field
import json
import threading
import time
import traceback
import uuid
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Optional, Dict, Any, List, ClassVar, Set, Union
from typing_extensions import TypedDict
from action_msgs.msg import GoalStatus
from geometry_msgs.msg import Point
from rclpy.action import ActionClient, get_action_server_names_and_types_by_node
from rclpy.service import Service
from typing_extensions import TypedDict
from unilabos_msgs.action import EmptyIn, StrSingleInput, ResourceCreateFromOuterEasy, ResourceCreateFromOuter
from unilabos_msgs.msg import Resource # type: ignore
from unilabos_msgs.srv import (
ResourceAdd,
@@ -24,22 +23,10 @@ from unilabos_msgs.srv import (
from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
from unique_identifier_msgs.msg import UUID
from unilabos.registry.decorators import device
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
from unilabos.registry.registry import lab_registry
from unilabos.resources.container import RegularContainer
from unilabos.resources.graphio import initialize_resource
from unilabos.resources.registry import add_schema
from unilabos.resources.resource_tracker import (
ResourceDict,
ResourceDictType,
ResourceDictInstance,
ResourceTreeSet,
ResourceTreeInstance,
RETURN_UNILABOS_SAMPLES,
JSON_UNILABOS_PARAM,
PARAM_SAMPLE_UUIDS, SampleUUIDsType, LabSample,
)
from unilabos.ros.initialize_device import initialize_device_from_dict
from unilabos.ros.msgs.message_converter import (
get_msg_type,
@@ -50,11 +37,17 @@ from unilabos.ros.msgs.message_converter import (
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode, DeviceNodeResourceTracker
from unilabos.ros.nodes.presets.controller_node import ControllerNode
from unilabos.resources.resource_tracker import (
ResourceDict,
ResourceDictInstance,
ResourceTreeSet,
ResourceTreeInstance,
)
from unilabos.utils import logger
from unilabos.utils.exception import DeviceClassInvalid
from unilabos.utils.log import warning
from unilabos.utils.type_check import serialize_result_info
from unilabos.config.config import BasicConfig
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
if TYPE_CHECKING:
from unilabos.app.ws_client import QueueItem
@@ -67,14 +60,7 @@ class DeviceActionStatus:
class TestResourceReturn(TypedDict):
resources: List[List[ResourceDict]]
devices: List[Dict[str, Any]]
# unilabos_samples: List[LabSample]
class CreateResourceReturn(TypedDict):
created_resource_tree: List[List[ResourceDict]]
liquid_input_resource_tree: List[Dict[str, Any]]
# unilabos_samples: List[LabSample]
devices: List[DeviceSlot]
class TestLatencyReturn(TypedDict):
@@ -89,7 +75,6 @@ class TestLatencyReturn(TypedDict):
status: str
@device(id="host_node", category=[], description="Host Node", icon="icon_device.webp")
class HostNode(BaseROS2DeviceNode):
"""
主机节点类,负责管理设备、资源和控制器
@@ -260,7 +245,6 @@ class HostNode(BaseROS2DeviceNode):
self,
driver_instance=self,
device_id=device_id,
registry_name="host_node",
device_uuid=host_node_dict["uuid"],
status_types={},
action_value_mappings=lab_registry.device_type_registry["host_node"]["class"]["action_value_mappings"],
@@ -278,43 +262,44 @@ class HostNode(BaseROS2DeviceNode):
self._action_clients: Dict[str, ActionClient] = { # 为了方便了解实际的数据类型host的默认写好
"/devices/host_node/create_resource": ActionClient(
self,
ResourceCreateFromOuterEasy,
lab_registry.ResourceCreateFromOuterEasy,
"/devices/host_node/create_resource",
callback_group=self.callback_group,
),
"/devices/host_node/create_resource_detailed": ActionClient(
self,
ResourceCreateFromOuter,
lab_registry.ResourceCreateFromOuter,
"/devices/host_node/create_resource_detailed",
callback_group=self.callback_group,
),
"/devices/host_node/test_latency": ActionClient(
self,
EmptyIn,
lab_registry.EmptyIn,
"/devices/host_node/test_latency",
callback_group=self.callback_group,
),
"/devices/host_node/test_resource": ActionClient(
self,
EmptyIn,
lab_registry.EmptyIn,
"/devices/host_node/test_resource",
callback_group=self.callback_group,
),
"/devices/host_node/_execute_driver_command": ActionClient(
self,
StrSingleInput,
lab_registry.StrSingleInput,
"/devices/host_node/_execute_driver_command",
callback_group=self.callback_group,
),
"/devices/host_node/_execute_driver_command_async": ActionClient(
self,
StrSingleInput,
lab_registry.StrSingleInput,
"/devices/host_node/_execute_driver_command_async",
callback_group=self.callback_group,
),
} # 用来存储多个ActionClient实例
self._action_value_mappings: Dict[str, Dict] = {} # device_id -> action_value_mappings(本地+远程设备统一存储)
self._slave_registry_configs: Dict[str, Dict] = {} # registry_name -> registry_config(含action_value_mappings)
self._action_value_mappings: Dict[str, Dict] = (
{}
) # 用来存储多个ActionClient的type, goal, feedback, result的变量名映射关系
self._goals: Dict[str, Any] = {} # 用来存储多个目标的状态
self._online_devices: Set[str] = {f"{self.namespace}/{device_id}"} # 用于跟踪在线设备
self._last_discovery_time = 0.0 # 上次设备发现的时间
@@ -331,18 +316,10 @@ class HostNode(BaseROS2DeviceNode):
self._discover_devices()
# 初始化所有本机设备节点,多一次过滤,防止重复初始化
local_machine = BasicConfig.machine_name
for device_config in devices_config.root_nodes:
device_id = device_config.res_content.id
if device_config.res_content.type != "device":
continue
dev_machine = device_config.res_content.machine_name
if dev_machine and local_machine and dev_machine != local_machine:
self.lab_logger().info(
f"[Host Node] Device {device_id} belongs to machine '{dev_machine}', "
f"local is '{local_machine}', skipping initialization."
)
continue
if device_id not in self.devices_names:
self.initialize_device(device_id, device_config)
else:
@@ -572,7 +549,7 @@ class HostNode(BaseROS2DeviceNode):
liquid_type: list[str] = [],
liquid_volume: list[int] = [],
slot_on_deck: str = "",
) -> CreateResourceReturn:
):
# 暂不支持多对同名父子同时存在
res_creation_input = {
"id": res_id.split("/")[-1],
@@ -625,8 +602,6 @@ class HostNode(BaseROS2DeviceNode):
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res:
raise ValueError(res.get("error"))
return res
except Exception as ex:
pass
@@ -658,8 +633,6 @@ class HostNode(BaseROS2DeviceNode):
self.device_machine_names[device_id] = "本地"
self.devices_instances[device_id] = d
# noinspection PyProtectedMember
self._action_value_mappings[device_id] = d._ros_node._action_value_mappings
# noinspection PyProtectedMember
for action_name, action_value_mapping in d._ros_node._action_value_mappings.items():
if action_name.startswith("auto-") or str(action_value_mapping.get("type", "")).startswith(
"UniLabJsonCommand"
@@ -668,12 +641,7 @@ class HostNode(BaseROS2DeviceNode):
action_id = f"/devices/{device_id}/{action_name}"
if action_id not in self._action_clients:
action_type = action_value_mapping["type"]
try:
self._action_clients[action_id] = ActionClient(self, action_type, action_id)
except Exception as e:
self.lab_logger().error(
f"创建ActionClient失败Device: {device_id}, Action Name: {action_name}, Action Type: {action_type}, Error: {e}")
continue
self._action_clients[action_id] = ActionClient(self, action_type, action_id)
self.lab_logger().trace(
f"[Host Node] Created ActionClient (Local): {action_id}"
) # 子设备再创建用的是Discover发现的
@@ -787,7 +755,6 @@ class HostNode(BaseROS2DeviceNode):
item: "QueueItem",
action_type: str,
action_kwargs: Dict[str, Any],
sample_material: Dict[str, str],
server_info: Optional[Dict[str, Any]] = None,
) -> None:
"""
@@ -801,29 +768,18 @@ class HostNode(BaseROS2DeviceNode):
u = uuid.UUID(item.job_id)
device_id = item.device_id
action_name = item.action_name
if BasicConfig.test_mode:
action_id = f"/devices/{device_id}/{action_name}"
self.lab_logger().info(
f"[TEST MODE] 模拟执行: {action_id} (job={item.job_id[:8]}), 参数: {str(action_kwargs)[:500]}"
)
# 根据注册表 handles 构建模拟返回值
mock_return = self._build_test_mode_return(device_id, action_name, action_kwargs)
self._handle_test_mode_result(item, action_id, mock_return)
return
if action_type.startswith("UniLabJsonCommand"):
if action_name.startswith("auto-"):
action_name = action_name[5:]
action_id = f"/devices/{device_id}/_execute_driver_command"
json_command: Dict[str, Any] = {
"function_name": action_name,
"function_args": action_kwargs,
JSON_UNILABOS_PARAM: {
PARAM_SAMPLE_UUIDS: sample_material,
},
action_kwargs = {
"string": json.dumps(
{
"function_name": action_name,
"function_args": action_kwargs,
}
)
}
action_kwargs = {"string": json.dumps(json_command)}
if action_type.startswith("UniLabJsonCommandAsync"):
action_id = f"/devices/{device_id}/_execute_driver_command_async"
else:
@@ -834,10 +790,24 @@ class HostNode(BaseROS2DeviceNode):
raise ValueError(f"ActionClient {action_id} not found.")
action_client: ActionClient = self._action_clients[action_id]
# 遍历action_kwargs下的所有子dict将"sample_uuid"的值赋给"sample_id"
def assign_sample_id(obj):
if isinstance(obj, dict):
if "sample_uuid" in obj:
obj["sample_id"] = obj["sample_uuid"]
obj.pop("sample_uuid")
for k, v in obj.items():
if k != "unilabos_extra":
assign_sample_id(v)
elif isinstance(obj, list):
for item in obj:
assign_sample_id(item)
assign_sample_id(action_kwargs)
goal_msg = convert_to_ros_msg(action_client._action_type.Goal(), action_kwargs)
# self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {str(goal_msg)[:1000]}")
self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {action_kwargs}")
self.lab_logger().info(f"[Host Node] Sending goal for {action_id}: {str(goal_msg)[:1000]}")
self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {goal_msg}")
action_client.wait_for_server()
goal_uuid_obj = UUID(uuid=list(u.bytes))
@@ -849,51 +819,6 @@ class HostNode(BaseROS2DeviceNode):
)
future.add_done_callback(lambda f: self.goal_response_callback(item, action_id, f))
def _build_test_mode_return(
self, device_id: str, action_name: str, action_kwargs: Dict[str, Any]
) -> Dict[str, Any]:
"""
根据注册表 handles 的 output 定义构建测试模式的模拟返回值
根据 data_key 中 @flatten 的层数决定嵌套数组层数,叶子值为空字典。
例如: "vessel"{}, "plate.@flatten" → [{}], "a.@flatten.@flatten" → [[{}]]
"""
mock_return: Dict[str, Any] = {"test_mode": True, "action_name": action_name}
action_mappings = self._action_value_mappings.get(device_id, {})
action_mapping = action_mappings.get(action_name, {})
handles = action_mapping.get("handles", {})
if isinstance(handles, dict):
for output_handle in handles.get("output", []):
data_key = output_handle.get("data_key", "")
handler_key = output_handle.get("handler_key", "")
# 根据 @flatten 层数构建嵌套数组,叶子为空字典
flatten_count = data_key.count("@flatten")
value: Any = {}
for _ in range(flatten_count):
value = [value]
mock_return[handler_key] = value
return mock_return
def _handle_test_mode_result(
self, item: "QueueItem", action_id: str, mock_return: Dict[str, Any]
) -> None:
"""
测试模式下直接构建结果并走正常的结果回调流程(跳过 ROS
"""
job_id = item.job_id
status = "success"
return_info = serialize_result_info("", True, mock_return)
self.lab_logger().info(f"[TEST MODE] Result for {action_id} ({job_id[:8]}): {status}")
from unilabos.app.web.controller import store_job_result
store_job_result(job_id, status, return_info, mock_return)
# 发布状态到桥接器
for bridge in self.bridges:
if hasattr(bridge, "publish_job_status"):
bridge.publish_job_status(mock_return, item, status, return_info)
def goal_response_callback(self, item: "QueueItem", action_id: str, future) -> None:
"""目标响应回调"""
goal_handle = future.result()
@@ -941,14 +866,14 @@ class HostNode(BaseROS2DeviceNode):
# 适配后端的一些额外处理
return_value = return_info.get("return_value")
if isinstance(return_value, dict):
unilabos_samples = return_value.pop(RETURN_UNILABOS_SAMPLES, None)
unilabos_samples = return_value.pop("unilabos_samples", None)
if isinstance(unilabos_samples, list) and unilabos_samples:
self.lab_logger().info(
f"[Host Node] Job {job_id[:8]} returned {len(unilabos_samples)} sample(s): "
f"{[s.get('name', s.get('id', 'unknown')) if isinstance(s, dict) else str(s)[:20] for s in unilabos_samples[:5]]}"
f"{'...' if len(unilabos_samples) > 5 else ''}"
)
return_info["samples"] = unilabos_samples
return_info["unilabos_samples"] = unilabos_samples
suc = return_info.get("suc", False)
if not suc:
status = "failed"
@@ -1218,7 +1143,7 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().info(f"[Host Node-Resource] UUID映射: {len(uuid_mapping)} 个节点")
# 还需要加入到资源图中,暂不实现,考虑资源图新的获取方式
response.response = json.dumps(uuid_mapping)
self.lab_logger().info(f"[Host Node-Resource] Resource tree update completed, success: {success}")
self.lab_logger().info(f"[Host Node-Resource] Resource tree add completed, success: {success}")
async def _resource_tree_update_callback(self, request: SerialCommand_Request, response: SerialCommand_Response):
"""
@@ -1253,12 +1178,8 @@ class HostNode(BaseROS2DeviceNode):
def _node_info_update_callback(self, request, response):
"""
更新节点信息回调
处理两种消息:
1. 首次上报(main_slave_run): 带 devices_config + registry_config,存储 action_value_mappings
2. 设备重注册(SYNC_SLAVE_NODE_INFO): 带 edge_device_id + registry_name,用 registry_name 索引已存储的 mappings
"""
self.lab_logger().trace(f"[Host Node] Node info update request received: {request}")
# self.lab_logger().info(f"[Host Node] Node info update request received: {request}")
try:
from unilabos.app.communication import get_communication_client
from unilabos.app.web.client import HTTPClient, http_client
@@ -1268,65 +1189,12 @@ class HostNode(BaseROS2DeviceNode):
info = info["SYNC_SLAVE_NODE_INFO"]
machine_name = info["machine_name"]
edge_device_id = info["edge_device_id"]
registry_name = info.get("registry_name", "")
self.device_machine_names[edge_device_id] = machine_name
# 用 registry_name 索引已存储的 registry_config,获取 action_value_mappings
if registry_name and registry_name in self._slave_registry_configs:
action_mappings = (
self._slave_registry_configs[registry_name].get("class", {}).get("action_value_mappings", {})
)
if action_mappings:
self._action_value_mappings[edge_device_id] = action_mappings
self.lab_logger().info(
f"[Host Node] Loaded {len(action_mappings)} action mappings "
f"for remote device {edge_device_id} (registry: {registry_name})"
)
else:
devices_config = info.pop("devices_config")
registry_config = info.pop("registry_config")
if registry_config:
http_client.resource_registry({"resources": registry_config})
# 存储 slave 的 registry_config,用于后续 SYNC_SLAVE_NODE_INFO 索引
for reg_name, reg_data in registry_config.items():
if isinstance(reg_data, dict) and "class" in reg_data:
self._slave_registry_configs[reg_name] = reg_data
# 解析 devices_config,建立 device_id -> action_value_mappings 映射
if devices_config:
machine_name = info["machine_name"]
# Stamp machine_name on each device dict before parsing
for device_tree in devices_config:
for device_dict in device_tree:
device_dict["machine_name"] = machine_name
device_id = device_dict.get("id", "")
class_name = device_dict.get("class", "")
if device_id and class_name and class_name in self._slave_registry_configs:
action_mappings = (
self._slave_registry_configs[class_name]
.get("class", {})
.get("action_value_mappings", {})
)
if action_mappings:
self._action_value_mappings[device_id] = action_mappings
self.lab_logger().info(
f"[Host Node] Stored {len(action_mappings)} action mappings "
f"for remote device {device_id} (class: {class_name})"
)
# Merge slave devices_config into self.devices_config tree
try:
slave_tree_set = ResourceTreeSet.load(devices_config) # slave一定是根节点的tree
for tree in slave_tree_set.trees:
self.devices_config.trees.append(tree)
self.lab_logger().info(
f"[Host Node] Merged {len(slave_tree_set.trees)} slave device trees "
f"(machine: {machine_name}) into devices_config"
)
except Exception as e:
self.lab_logger().error(f"[Host Node] Failed to merge slave devices_config: {e}")
self.lab_logger().debug(f"[Host Node] Node info update: {info}")
response.response = "OK"
except Exception as e:
@@ -1623,7 +1491,6 @@ class HostNode(BaseROS2DeviceNode):
def test_resource(
self,
sample_uuids: SampleUUIDsType,
resource: ResourceSlot = None,
resources: List[ResourceSlot] = None,
device: DeviceSlot = None,
@@ -1638,7 +1505,6 @@ class HostNode(BaseROS2DeviceNode):
return {
"resources": ResourceTreeSet.from_plr_resources([resource, *resources], known_newly_created=True).dump(),
"devices": [device, *devices],
"unilabos_samples": [LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for sample_uuid, content in sample_uuids.items()]
}
def handle_pong_response(self, pong_data: dict):
@@ -1735,177 +1601,3 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().error(f"[Host Node-Resource] Error notifying resource tree update: {str(e)}")
self.lab_logger().error(traceback.format_exc())
return False
# ------------------------------------------------------------------
# Device lifecycle (add / remove) — pure forwarder
# ------------------------------------------------------------------
def notify_device_manage(self, target_node_id: str, action: str, config: ResourceDictType) -> bool:
"""Forward an add/remove device command to the target node via ROS2 SerialCommand.
The HostNode does NOT interpret the command; it simply resolves the
target namespace and forwards the request to ``s2c_device_manage``.
If *target_node_id* equals the HostNode's own device_id (i.e. the
command targets the host itself), we call our local ``create_device``
/ ``destroy_device`` directly instead of going through ROS2.
"""
try:
# If the target is the host itself, handle locally
device_id = config["id"]
if target_node_id == self.device_id:
if action == "add":
return self.create_device(device_id, config).get("success", False)
elif action == "remove":
return self.destroy_device(device_id).get("success", False)
if target_node_id not in self.devices_names:
self.lab_logger().error(
f"[Host Node-DeviceMgr] Target {target_node_id} not found in devices_names"
)
return False
namespace = self.devices_names[target_node_id]
device_key = f"{namespace}/{target_node_id}"
if device_key not in self._online_devices:
self.lab_logger().error(f"[Host Node-DeviceMgr] Target {device_key} is offline")
return False
srv_address = f"/srv{namespace}/s2c_device_manage"
self.lab_logger().info(
f"[Host Node-DeviceMgr] Forwarding {action}_device to {target_node_id} ({srv_address})"
)
sclient = self.create_client(SerialCommand, srv_address)
if not sclient.wait_for_service(timeout_sec=5.0):
self.lab_logger().error(f"[Host Node-DeviceMgr] Service {srv_address} not available")
return False
request = SerialCommand.Request()
request.command = json.dumps({"action": action, "data": config}, ensure_ascii=False)
future = sclient.call_async(request)
timeout = 30.0
start_time = time.time()
while not future.done():
if time.time() - start_time > timeout:
self.lab_logger().error(
f"[Host Node-DeviceMgr] Timeout waiting for {action}_device on {target_node_id}"
)
return False
time.sleep(0.05)
response = future.result()
self.lab_logger().info(
f"[Host Node-DeviceMgr] {action}_device on {target_node_id} completed"
)
return True
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Error: {e}")
self.lab_logger().error(traceback.format_exc())
return False
def create_device(self, device_id: str, config: ResourceDictType) -> dict:
"""Dynamically create a root-level device on the host."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id in self.devices_names:
return {"success": False, "error": f"Device {device_id} already exists"}
try:
config.setdefault("id", device_id)
config.setdefault("type", "device")
config.setdefault("machine_name", BasicConfig.machine_name or "本地")
res_dict = ResourceDictInstance.get_resource_instance_from_dict(config)
self.initialize_device(device_id, res_dict)
if device_id not in self.devices_names:
return {"success": False, "error": f"initialize_device failed for {device_id}"}
# Add to config tree (devices_config)
tree = ResourceTreeInstance(res_dict)
self.devices_config.trees.append(tree)
# Add to resource tracker so s2c_resource_tree can find it
try:
for plr_resource in ResourceTreeSet([tree]).to_plr_resources():
self._resource_tracker.add_resource(plr_resource)
except Exception as ex:
self.lab_logger().warning(f"[Host Node-DeviceMgr] PLR resource registration skipped: {ex}")
self.lab_logger().info(f"[Host Node-DeviceMgr] Device {device_id} created successfully")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Failed to create {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def destroy_device(self, device_id: str) -> dict:
"""Remove a root-level device from the host."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id not in self.devices_names:
return {"success": False, "error": f"Device {device_id} not found"}
if device_id == self.device_id:
return {"success": False, "error": "Cannot destroy host_node itself"}
try:
namespace = self.devices_names[device_id]
device_key = f"{namespace}/{device_id}"
# Remove action clients
action_prefix = f"/devices/{device_id}/"
to_remove = [k for k in self._action_clients if k.startswith(action_prefix)]
for k in to_remove:
try:
self._action_clients[k].destroy()
except Exception:
pass
del self._action_clients[k]
# Remove from config tree (devices_config)
self.devices_config.trees = [
t for t in self.devices_config.trees
if t.root_node.res_content.id != device_id
]
# Remove from resource tracker
try:
tracked = self._resource_tracker.uuid_to_resources.copy()
for uid, res in tracked.items():
res_id = res.get("id") if isinstance(res, dict) else getattr(res, "name", None)
if res_id == device_id:
self._resource_tracker.remove_resource(res)
except Exception as ex:
self.lab_logger().warning(f"[Host Node-DeviceMgr] Resource tracker cleanup: {ex}")
# Clean internal state
self._online_devices.discard(device_key)
self.devices_names.pop(device_id, None)
self.device_machine_names.pop(device_id, None)
self._action_value_mappings.pop(device_id, None)
# Destroy the ROS2 node of the device
instance = self.devices_instances.pop(device_id, None)
if instance is not None:
try:
# noinspection PyProtectedMember
ros_node = getattr(instance, "_ros_node", None)
if ros_node is not None:
ros_node.destroy_node()
except Exception as e:
self.lab_logger().warning(f"[Host Node-DeviceMgr] Error destroying ROS node for {device_id}: {e}")
self.lab_logger().info(f"[Host Node-DeviceMgr] Device {device_id} destroyed")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Host Node-DeviceMgr] Failed to destroy {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}

View File

@@ -7,11 +7,10 @@ from rclpy.callback_groups import ReentrantCallbackGroup
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
class JointRepublisher(BaseROS2DeviceNode):
def __init__(self,device_id, registry_name, resource_tracker, **kwargs):
def __init__(self,device_id,resource_tracker, **kwargs):
super().__init__(
driver_instance=self,
device_id=device_id,
registry_name=registry_name,
status_types={},
action_value_mappings={},
hardware_interface={},

View File

@@ -26,7 +26,7 @@ from unilabos.resources.graphio import initialize_resources
from unilabos.registry.registry import lab_registry
class ResourceMeshManager(BaseROS2DeviceNode):
def __init__(self, resource_model: dict, resource_config: list,resource_tracker, device_id: str = "resource_mesh_manager", registry_name: str = "", rate=50, **kwargs):
def __init__(self, resource_model: dict, resource_config: list,resource_tracker, device_id: str = "resource_mesh_manager", rate=50, **kwargs):
"""初始化资源网格管理器节点
Args:
@@ -37,7 +37,6 @@ class ResourceMeshManager(BaseROS2DeviceNode):
super().__init__(
driver_instance=self,
device_id=device_id,
registry_name=registry_name,
status_types={},
action_value_mappings={},
hardware_interface={},

View File

@@ -7,7 +7,7 @@ from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeRe
class ROS2SerialNode(BaseROS2DeviceNode):
def __init__(self, device_id, registry_name, port: str, baudrate: int = 9600, resource_tracker: DeviceNodeResourceTracker=None):
def __init__(self, device_id, port: str, baudrate: int = 9600, resource_tracker: DeviceNodeResourceTracker=None):
# 保存属性,以便在调用父类初始化前使用
self.port = port
self.baudrate = baudrate
@@ -28,7 +28,6 @@ class ROS2SerialNode(BaseROS2DeviceNode):
BaseROS2DeviceNode.__init__(
self,
driver_instance=self,
registry_name=registry_name,
device_id=device_id,
status_types={},
action_value_mappings={},

View File

@@ -6,6 +6,8 @@ from typing import List, Dict, Any, Optional, TYPE_CHECKING
import rclpy
from rosidl_runtime_py import message_to_ordereddict
from unilabos_msgs.msg import Resource
from unilabos_msgs.srv import ResourceUpdate
from unilabos.messages import * # type: ignore # protocol names
from rclpy.action import ActionServer, ActionClient
@@ -13,6 +15,7 @@ from rclpy.action.server import ServerGoalHandle
from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
from unilabos.compile import action_protocol_generators
from unilabos.resources.graphio import nested_dict_to_list
from unilabos.ros.initialize_device import initialize_device_from_dict
from unilabos.ros.msgs.message_converter import (
get_action_type,
@@ -20,7 +23,7 @@ from unilabos.ros.msgs.message_converter import (
convert_from_ros_msg_with_mapping,
)
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode
from unilabos.resources.resource_tracker import ResourceDictType, ResourceTreeSet, ResourceDictInstance
from unilabos.resources.resource_tracker import ResourceTreeSet, ResourceDictInstance
from unilabos.utils.type_check import get_result_info_str
if TYPE_CHECKING:
@@ -47,7 +50,6 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
*,
driver_instance: "WorkstationBase",
device_id: str,
registry_name: str,
device_uuid: str,
status_types: Dict[str, Any],
action_value_mappings: Dict[str, Any],
@@ -63,7 +65,6 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
super().__init__(
driver_instance=driver_instance,
device_id=device_id,
registry_name=registry_name,
device_uuid=device_uuid,
status_types=status_types,
action_value_mappings={**action_value_mappings, **self.protocol_action_mappings},
@@ -177,103 +178,6 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
self.lab_logger().trace(f"为子设备 {device_id} 创建动作客户端: {action_name}")
return d
def create_device(self, device_id: str, config: ResourceDictType) -> dict:
"""Dynamically add a sub-device to this workstation."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id in self.sub_devices:
return {"success": False, "error": f"Sub-device {device_id} already exists"}
try:
from unilabos.config.config import BasicConfig
config.setdefault("id", device_id)
config.setdefault("type", "device")
config.setdefault("machine_name", BasicConfig.machine_name or "本地")
res_dict = ResourceDictInstance.get_resource_instance_from_dict(config)
d = self.initialize_device(device_id, res_dict)
if d is None:
return {"success": False, "error": f"initialize_device returned None for {device_id}"}
# Add to children config list
self.children.append(res_dict)
# Add to resource tracker
try:
from unilabos.resources.resource_tracker import ResourceTreeInstance
tree = ResourceTreeInstance(res_dict)
for plr_resource in ResourceTreeSet([tree]).to_plr_resources():
self.resource_tracker.add_resource(plr_resource)
except Exception as ex:
self.lab_logger().warning(f"[Workstation-DeviceMgr] PLR resource registration skipped: {ex}")
self.lab_logger().info(f"[Workstation-DeviceMgr] Sub-device {device_id} created")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Workstation-DeviceMgr] Failed to create {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def destroy_device(self, device_id: str) -> dict:
"""Dynamically remove a sub-device from this workstation."""
if not device_id:
return {"success": False, "error": "device_id required"}
if device_id not in self.sub_devices:
return {"success": False, "error": f"Sub-device {device_id} not found"}
try:
# Remove from children config list
self.children = [
c for c in self.children
if c.res_content.id != device_id
]
# Remove from resource tracker
try:
tracked = self.resource_tracker.uuid_to_resources.copy()
for uid, res in tracked.items():
res_id = res.get("id") if isinstance(res, dict) else getattr(res, "name", None)
if res_id == device_id:
self.resource_tracker.remove_resource(res)
except Exception as ex:
self.lab_logger().warning(f"[Workstation-DeviceMgr] Resource tracker cleanup: {ex}")
# Remove action clients for this sub-device
action_prefix = f"/devices/{device_id}/"
to_remove = [k for k in self._action_clients if k.startswith(action_prefix)]
for k in to_remove:
try:
self._action_clients[k].destroy()
except Exception:
pass
del self._action_clients[k]
# Destroy the ROS2 node
instance = self.sub_devices.pop(device_id, None)
if instance is not None:
ros_node = getattr(instance, "ros_node_instance", None)
if ros_node is not None:
try:
ros_node.destroy_node()
except Exception as e:
self.lab_logger().warning(
f"[Workstation-DeviceMgr] Error destroying ROS node for {device_id}: {e}"
)
# Remove from communication map if present
self.communication_node_id_to_instance.pop(device_id, None)
self.lab_logger().info(f"[Workstation-DeviceMgr] Sub-device {device_id} destroyed")
return {"success": True, "device_id": device_id}
except Exception as e:
self.lab_logger().error(f"[Workstation-DeviceMgr] Failed to destroy {device_id}: {e}")
self.lab_logger().error(traceback.format_exc())
return {"success": False, "error": str(e)}
def create_ros_action_server(self, action_name, action_value_mapping):
"""创建ROS动作服务器"""
if action_name not in self.protocol_names:
@@ -327,15 +231,15 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
try:
# 统一处理单个或多个资源
resource_id = (
protocol_kwargs[k]["id"]
if v == "unilabos_msgs/Resource"
else protocol_kwargs[k][0]["id"]
protocol_kwargs[k]["id"] if v == "unilabos_msgs/Resource" else protocol_kwargs[k][0]["id"]
)
resource_uuid = protocol_kwargs[k].get("uuid", None)
r = SerialCommand_Request()
r.command = json.dumps({"id": resource_id, "uuid": resource_uuid, "with_children": True})
# 发送请求并等待响应
response: SerialCommand_Response = await self._resource_clients["resource_get"].call_async(
response: SerialCommand_Response = await self._resource_clients[
"resource_get"
].call_async(
r
) # type: ignore
raw_data = json.loads(response.response)
@@ -403,54 +307,12 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
# 向Host更新物料当前状态
for k, v in goal.get_fields_and_field_types().items():
if v not in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
continue
self.lab_logger().info(f"更新资源状态: {k}")
try:
# 去重:使用 seen 集合获取唯一的资源对象
seen = set()
unique_resources = []
# 获取资源数据,统一转换为列表
resource_data = protocol_kwargs[k]
is_sequence = v != "unilabos_msgs/Resource"
if not is_sequence:
resource_list = [resource_data] if isinstance(resource_data, dict) else resource_data
else:
# 处理序列类型,可能是嵌套列表
resource_list = []
if isinstance(resource_data, list):
for item in resource_data:
if isinstance(item, list):
resource_list.extend(item)
else:
resource_list.append(item)
else:
resource_list = [resource_data]
for res_data in resource_list:
if not isinstance(res_data, dict):
continue
res_name = res_data.get("id") or res_data.get("name")
if not res_name:
continue
# 使用 resource_tracker 获取本地 PLR 实例
plr = self.resource_tracker.figure_resource({"name": res_name}, try_mode=False)
# 获取父资源
res = self.resource_tracker.parent_resource(plr)
if res is None:
res = plr
if id(res) not in seen:
seen.add(id(res))
unique_resources.append(res)
# 使用新的资源树接口更新
if unique_resources:
await self.update_resource(unique_resources)
except Exception as e:
self.lab_logger().error(f"资源更新失败: {e}")
self.lab_logger().error(traceback.format_exc())
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

View File

@@ -52,8 +52,7 @@ class DeviceClassCreator(Generic[T]):
if self.device_instance is not None:
for c in self.children:
if c.res_content.type != "device":
res = ResourceTreeSet([ResourceTreeInstance(c)]).to_plr_resources()[0]
self.resource_tracker.add_resource(res)
self.resource_tracker.add_resource(c.get_plr_nested_dict())
def create_instance(self, data: Dict[str, Any]) -> T:
"""
@@ -120,7 +119,7 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
# return resource, source_type
def _process_resource_references(
self, data: Any, processed_child_names: Optional[Dict[str, Any]], to_dict=False, states=None, prefix_path="", name_to_uuid=None
self, data: Any, to_dict=False, states=None, prefix_path="", name_to_uuid=None
) -> Any:
"""
递归处理资源引用替换_resource_child_name对应的资源
@@ -165,7 +164,6 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
states[prefix_path] = resource_instance.serialize_all_state()
return serialized
else:
processed_child_names[child_name] = resource_instance
self.resource_tracker.add_resource(resource_instance)
# 立即设置UUIDstate已经在resource_ulab_to_plr中处理过了
if name_to_uuid:
@@ -184,12 +182,12 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
result = {}
for key, value in data.items():
new_prefix = f"{prefix_path}.{key}" if prefix_path else key
result[key] = self._process_resource_references(value, processed_child_names, to_dict, states, new_prefix, name_to_uuid)
result[key] = self._process_resource_references(value, to_dict, states, new_prefix, name_to_uuid)
return result
elif isinstance(data, list):
return [
self._process_resource_references(item, processed_child_names, to_dict, states, f"{prefix_path}[{i}]", name_to_uuid)
self._process_resource_references(item, to_dict, states, f"{prefix_path}[{i}]", name_to_uuid)
for i, item in enumerate(data)
]
@@ -236,7 +234,7 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
# 首先处理资源引用
states = {}
processed_data = self._process_resource_references(
data, {}, to_dict=True, states=states, name_to_uuid=name_to_uuid
data, to_dict=True, states=states, name_to_uuid=name_to_uuid
)
try:
@@ -272,12 +270,7 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
arg_value = spec_args[param_name].annotation
data[param_name]["_resource_type"] = self.device_cls.__module__ + ":" + arg_value
logger.debug(f"自动补充 _resource_type: {data[param_name]['_resource_type']}")
processed_child_names = {}
processed_data = self._process_resource_references(data, processed_child_names, to_dict=False, name_to_uuid=name_to_uuid)
for child_name, resource_instance in processed_data.items():
for ind, name in enumerate([child.res_content.name for child in self.children]):
if name == child_name:
self.children.pop(ind)
processed_data = self._process_resource_references(data, to_dict=False, name_to_uuid=name_to_uuid)
self.device_instance = super(PyLabRobotCreator, self).create_instance(processed_data) # 补全变量后直接调用调用的自身的attach_resource
except Exception as e:
logger.error(f"PyLabRobot创建实例失败: {e}")
@@ -349,10 +342,9 @@ class WorkstationNodeCreator(DeviceClassCreator[T]):
try:
# 创建实例额外补充一个给protocol node的字段后面考虑取消
data["children"] = self.children
# super(WorkstationNodeCreator, self).create_instance(data)的时候会attach
# for child in self.children:
# if child.res_content.type != "device":
# self.resource_tracker.add_resource(child.get_plr_nested_dict())
for child in self.children:
if child.res_content.type != "device":
self.resource_tracker.add_resource(child.get_plr_nested_dict())
deck_dict = data.get("deck")
if deck_dict:
from pylabrobot.resources import Deck, Resource

View File

@@ -339,8 +339,13 @@
"z": 0
},
"config": {
"max_volume": 500.0,
"type": "RegularContainer",
"category": "container"
"category": "container",
"max_temp": 200.0,
"min_temp": -20.0,
"has_stirrer": true,
"has_heater": true
},
"data": {
"liquids": [],
@@ -764,7 +769,9 @@
"size_y": 250,
"size_z": 0,
"type": "RegularContainer",
"category": "container"
"category": "container",
"reagent": "sodium_chloride",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,
@@ -785,11 +792,14 @@
"z": 0
},
"config": {
"volume": 500.0,
"size_x": 600,
"size_y": 250,
"size_z": 0,
"type": "RegularContainer",
"category": "container"
"category": "container",
"reagent": "sodium_carbonate",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,
@@ -810,11 +820,14 @@
"z": 0
},
"config": {
"volume": 500.0,
"size_x": 650,
"size_y": 250,
"size_z": 0,
"type": "RegularContainer",
"category": "container"
"category": "container",
"reagent": "magnesium_chloride",
"physical_state": "solid"
},
"data": {
"current_mass": 500.0,

View File

@@ -1,446 +0,0 @@
{
"nodes": [
{
"id": "PRCXI",
"name": "PRCXI",
"type": "device",
"class": "liquid_handler.prcxi",
"parent": "",
"pose": {
"size": {
"width": 562,
"height": 394,
"depth": 0
}
},
"config": {
"axis": "Left",
"deck": {
"_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
"_resource_child_name": "PRCXI_Deck"
},
"host": "10.20.30.184",
"port": 9999,
"debug": true,
"setup": true,
"is_9320": true,
"timeout": 10,
"matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
"simulator": true,
"channel_num": 2
},
"data": {
"reset_ok": true
},
"schema": {},
"description": "",
"model": null,
"position": {
"x": 0,
"y": 240,
"z": 0
}
},
{
"id": "PRCXI_Deck",
"name": "PRCXI_Deck",
"children": [],
"parent": "PRCXI",
"type": "deck",
"class": "",
"position": {
"x": 10,
"y": 10,
"z": 0
},
"config": {
"type": "PRCXI9300Deck",
"size_x": 542,
"size_y": 374,
"size_z": 0,
"rotation": {
"x": 0,
"y": 0,
"z": 0,
"type": "Rotation"
},
"category": "deck",
"barcode": null,
"preferred_pickup_location": null,
"sites": [
{
"label": "T1",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"container",
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T2",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T3",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T4",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 0,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T5",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T6",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T7",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T8",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 96,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T9",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T10",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T11",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T12",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 192,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T13",
"visible": true,
"occupied_by": null,
"position": {
"x": 0,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T14",
"visible": true,
"occupied_by": null,
"position": {
"x": 138,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T15",
"visible": true,
"occupied_by": null,
"position": {
"x": 276,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
},
{
"label": "T16",
"visible": true,
"occupied_by": null,
"position": {
"x": 414,
"y": 288,
"z": 0
},
"size": {
"width": 128.0,
"height": 86,
"depth": 0
},
"content_type": [
"plate",
"tip_rack",
"plates",
"tip_racks",
"tube_rack",
"adaptor"
]
}
]
},
"data": {}
}
],
"edges": []
}

View File

@@ -19,6 +19,74 @@ def singleton(cls):
return get_instance
def topic_config(
period: Optional[float] = None,
print_publish: Optional[bool] = None,
qos: Optional[int] = None,
) -> Callable[[F], F]:
"""
Topic发布配置装饰器
用于装饰 get_{attr_name} 方法或 @property控制对应属性的ROS topic发布行为。
Args:
period: 发布周期。None 表示使用默认值 5.0
print_publish: 是否打印发布日志。None 表示使用节点默认配置
qos: QoS深度配置。None 表示使用默认值 10
Example:
class MyDriver:
# 方式1: 装饰 get_{attr_name} 方法
@topic_config(period=1.0, print_publish=False, qos=5)
def get_temperature(self):
return self._temperature
# 方式2: 与 @property 连用topic_config 放在下面)
@property
@topic_config(period=0.1)
def position(self):
return self._position
Note:
与 @property 连用时,@topic_config 必须放在 @property 下面,
这样装饰器执行顺序为:先 topic_config 添加配置,再 property 包装。
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加配置属性 (type: ignore 用于动态属性)
wrapper._topic_period = period # type: ignore[attr-defined]
wrapper._topic_print_publish = print_publish # type: ignore[attr-defined]
wrapper._topic_qos = qos # type: ignore[attr-defined]
wrapper._has_topic_config = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
return decorator
def get_topic_config(func) -> dict:
"""
获取函数上的topic配置
Args:
func: 被装饰的函数
Returns:
包含 period, print_publish, qos 的配置字典
"""
if hasattr(func, "_has_topic_config") and getattr(func, "_has_topic_config", False):
return {
"period": getattr(func, "_topic_period", None),
"print_publish": getattr(func, "_topic_print_publish", None),
"qos": getattr(func, "_topic_qos", None),
}
return {}
def subscribe(
topic: str,
msg_type: Optional[type] = None,
@@ -36,6 +104,24 @@ def subscribe(
- {namespace}: 完整命名空间 (如 "/devices/pump_1")
msg_type: ROS 消息类型。如果为 None需要在回调函数的类型注解中指定
qos: QoS 深度配置,默认为 10
Example:
from std_msgs.msg import String, Float64
class MyDriver:
@subscribe(topic="/devices/{device_id}/set_speed", msg_type=Float64)
def on_speed_update(self, msg: Float64):
self._speed = msg.data
print(f"Speed updated to: {self._speed}")
@subscribe(topic="{namespace}/command")
def on_command(self, msg: String):
# msg_type 可从类型注解推断
self.execute_command(msg.data)
Note:
- 回调方法的第一个参数是 self第二个参数是收到的 ROS 消息
- topic 中的占位符会在创建订阅时被实际值替换
"""
def decorator(func: F) -> F:
@@ -43,6 +129,7 @@ def subscribe(
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加订阅配置
wrapper._subscribe_topic = topic # type: ignore[attr-defined]
wrapper._subscribe_msg_type = msg_type # type: ignore[attr-defined]
wrapper._subscribe_qos = qos # type: ignore[attr-defined]
@@ -54,7 +141,15 @@ def subscribe(
def get_subscribe_config(func) -> dict:
"""获取函数上的订阅配置 (topic, msg_type, qos)"""
"""
获取函数上的订阅配置
Args:
func: 被装饰的函数
Returns:
包含 topic, msg_type, qos 的配置字典
"""
if hasattr(func, "_has_subscribe") and getattr(func, "_has_subscribe", False):
return {
"topic": getattr(func, "_subscribe_topic", None),
@@ -68,6 +163,9 @@ def get_all_subscriptions(instance) -> list:
"""
扫描实例的所有方法,获取带有 @subscribe 装饰器的方法及其配置
Args:
instance: 要扫描的实例
Returns:
包含 (method_name, method, config) 元组的列表
"""
@@ -86,14 +184,47 @@ def get_all_subscriptions(instance) -> list:
return subscriptions
# ---------------------------------------------------------------------------
# 向后兼容重导出 -- 已迁移到 unilabos.registry.decorators
# ---------------------------------------------------------------------------
from unilabos.registry.decorators import ( # noqa: E402, F401
topic_config,
get_topic_config,
always_free,
is_always_free,
not_action,
is_not_action,
)
def not_action(func: F) -> F:
"""
标记方法为非动作的装饰器
用于装饰 driver 类中的方法,使其在 complete_registry 时不被识别为动作。
适用于辅助方法、内部工具方法等不应暴露为设备动作的公共方法。
Example:
class MyDriver:
@not_action
def helper_method(self):
# 这个方法不会被注册为动作
pass
def actual_action(self, param: str):
# 这个方法会被注册为动作
self.helper_method()
Note:
- 可以与其他装饰器组合使用,@not_action 应放在最外层
- 仅影响 complete_registry 的动作识别,不影响方法的正常调用
"""
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# 在函数上附加标记
wrapper._is_not_action = True # type: ignore[attr-defined]
return wrapper # type: ignore[return-value]
def is_not_action(func) -> bool:
"""
检查函数是否被标记为非动作
Args:
func: 被检查的函数
Returns:
如果函数被 @not_action 装饰则返回 True否则返回 False
"""
return getattr(func, "_is_not_action", False)

View File

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

View File

@@ -27,9 +27,8 @@ __all__ = [
from ast import Constant
from unilabos.resources.resource_tracker import PARAM_SAMPLE_UUIDS
from unilabos.utils import logger
from unilabos.registry.decorators import is_not_action, is_always_free
from unilabos.utils.decorator import is_not_action
class ImportManager:
@@ -282,9 +281,6 @@ class ImportManager:
continue
# 其他非_开头的方法归类为action
method_info = self._analyze_method_signature(method)
# 检查是否被 @always_free 装饰器标记
if is_always_free(method):
method_info["always_free"] = True
result["action_methods"][name] = method_info
return result
@@ -342,24 +338,16 @@ class ImportManager:
if self._is_not_action_method(node):
continue
# 其他非_开头的方法归类为action
# 检查是否被 @always_free 装饰器标记
if self._is_always_free_method(node):
method_info["always_free"] = True
result["action_methods"][method_name] = method_info
return result
def _analyze_method_signature(self, method, skip_unilabos_params: bool = True) -> Dict[str, Any]:
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
Args:
method: 要分析的方法
skip_unilabos_params: 是否跳过 unilabos 系统参数(如 sample_uuids
registry 补全时为 TrueJsonCommand 执行时为 False
示例用法:
method_info = self._analyze_method_signature(some_method)
params = {"param1": "value1", "param2": "value2"}
@@ -380,10 +368,6 @@ class ImportManager:
if param.kind == param.VAR_KEYWORD: # **kwargs
continue
# 跳过 sample_uuids 参数由系统自动注入registry 补全时跳过)
if skip_unilabos_params and param_name == PARAM_SAMPLE_UUIDS:
continue
is_required = param.default == inspect.Parameter.empty
if is_required:
num_required += 1
@@ -480,19 +464,6 @@ class ImportManager:
return True
return False
def _is_always_free_method(self, node: ast.FunctionDef) -> bool:
"""检查是否是@always_free装饰的方法或 @action(always_free=True) 装饰的方法"""
for decorator in node.decorator_list:
# 检查 @action(always_free=True)
if isinstance(decorator, ast.Call):
func = decorator.func
if isinstance(func, ast.Name) and func.id == "action":
for keyword in decorator.keywords:
if keyword.arg == "always_free":
if isinstance(keyword.value, Constant) and keyword.value.value is True:
return True
return False
def _get_property_name_from_setter(self, node: ast.FunctionDef) -> str:
"""从setter装饰器中获取属性名"""
for decorator in node.decorator_list:
@@ -592,9 +563,6 @@ class ImportManager:
for i, arg in enumerate(node.args.args):
if arg.arg == "self":
continue
# 跳过 sample_uuids 参数(由系统自动注入)
if arg.arg == PARAM_SAMPLE_UUIDS:
continue
arg_info = {
"name": arg.arg,
"type": None,

View File

@@ -193,7 +193,6 @@ def configure_logger(loglevel=None, working_dir=None):
root_logger.addHandler(console_handler)
# 如果指定了工作目录,添加文件处理器
log_filepath = None
if working_dir is not None:
logs_dir = os.path.join(working_dir, "logs")
os.makedirs(logs_dir, exist_ok=True)
@@ -214,7 +213,7 @@ def configure_logger(loglevel=None, working_dir=None):
logging.getLogger("asyncio").setLevel(logging.INFO)
logging.getLogger("urllib3").setLevel(logging.INFO)
return log_filepath
# 配置日志系统

View File

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

View File

@@ -1,820 +0,0 @@
"""
工作流转换模块 - JSON 到 WorkflowGraph 的转换流程
==================== 输入格式 (JSON) ====================
{
"workflow": [
{"action": "transfer_liquid", "action_args": {"sources": "cell_lines", "targets": "Liquid_1", "asp_vol": 100.0, "dis_vol": 74.75, ...}},
...
],
"reagent": {
"cell_lines": {"slot": 4, "well": ["A1", "A3", "A5"], "labware": "DRUG + YOYO-MEDIA"},
"Liquid_1": {"slot": 1, "well": ["A4", "A7", "A10"], "labware": "rep 1"},
...
}
}
==================== 转换步骤 ====================
第一步: 按 slot 去重创建 create_resource 节点(创建板子)
--------------------------------------------------------------------------------
- 首先创建一个 Group 节点type="Group", minimized=true用于包含所有 create_resource 节点
- 遍历所有 reagent按 slot 去重,为每个唯一的 slot 创建一个板子
- 所有 create_resource 节点的 parent_uuid 指向 Group 节点minimized=true
- 生成参数:
res_id: plate_slot_{slot}
device_id: /PRCXI
class_name: PRCXI_BioER_96_wellplate
parent: /PRCXI/PRCXI_Deck
slot_on_deck: "{slot}"
- 输出端口: labware用于连接 set_liquid_from_plate
- 控制流: create_resource 之间通过 ready 端口串联
示例: slot=1, slot=4 -> 创建 1 个 Group + 2 个 create_resource 节点
第二步: 为每个 reagent 创建 set_liquid_from_plate 节点(设置液体)
--------------------------------------------------------------------------------
- 首先创建一个 Group 节点type="Group", minimized=true用于包含所有 set_liquid_from_plate 节点
- 遍历所有 reagent为每个试剂创建 set_liquid_from_plate 节点
- 所有 set_liquid_from_plate 节点的 parent_uuid 指向 Group 节点minimized=true
- 生成参数:
plate: [](通过连接传递,来自 create_resource 的 labware
well_names: ["A1", "A3", "A5"](来自 reagent 的 well 数组)
liquid_names: ["cell_lines", "cell_lines", "cell_lines"](与 well 数量一致)
volumes: [1e5, 1e5, 1e5](与 well 数量一致,默认体积)
- 输入连接: create_resource (labware) -> set_liquid_from_plate (input_plate)
- 输出端口: output_wells用于连接 transfer_liquid
- 控制流: set_liquid_from_plate 连接在所有 create_resource 之后,通过 ready 端口串联
第三步: 解析 workflow创建 transfer_liquid 等动作节点
--------------------------------------------------------------------------------
- 遍历 workflow 数组,为每个动作创建步骤节点
- 参数重命名: asp_vol -> asp_vols, dis_vol -> dis_vols, asp_flow_rate -> asp_flow_rates, dis_flow_rate -> dis_flow_rates
- 参数扩展: 根据 targets 的 wells 数量,将单值扩展为数组
例: asp_vol=100.0, targets 有 3 个 wells -> asp_vols=[100.0, 100.0, 100.0]
- 连接处理: 如果 sources/targets 已通过 set_liquid_from_plate 连接,参数值改为 []
- 输入连接: set_liquid_from_plate (output_wells) -> transfer_liquid (sources_identifier / targets_identifier)
- 输出端口: sources_out, targets_out用于连接下一个 transfer_liquid
==================== 连接关系图 ====================
控制流 (ready 端口串联):
- create_resource 之间: 无 ready 连接
- set_liquid_from_plate 之间: 无 ready 连接
- create_resource 与 set_liquid_from_plate 之间: 无 ready 连接
- transfer_liquid 之间: 通过 ready 端口串联
transfer_liquid_1 -> transfer_liquid_2 -> transfer_liquid_3 -> ...
物料流:
[create_resource] --labware--> [set_liquid_from_plate] --output_wells--> [transfer_liquid] --sources_out/targets_out--> [下一个 transfer_liquid]
(slot=1) (cell_lines) (input_plate) (sources_identifier) (sources_identifier)
(slot=4) (Liquid_1) (targets_identifier) (targets_identifier)
==================== 端口映射 ====================
create_resource:
输出: labware
set_liquid_from_plate:
输入: input_plate
输出: output_plate, output_wells
transfer_liquid:
输入: sources -> sources_identifier, targets -> targets_identifier
输出: sources -> sources_out, targets -> targets_out
==================== 设备名配置 (device_name) ====================
每个节点都有 device_name 字段,指定在哪个设备上执行:
- create_resource: device_name = "host_node"(固定)
- set_liquid_from_plate: device_name = "PRCXI"(可配置,见 DEVICE_NAME_DEFAULT
- transfer_liquid 等动作: device_name = "PRCXI"(可配置,见 DEVICE_NAME_DEFAULT
==================== 校验规则 ====================
- 检查 sources/targets 是否在 reagent 中定义
- 检查 sources 和 targets 的 wells 数量是否匹配
- 检查参数数组长度是否与 wells 数量一致
- 如有问题,在 footer 中添加 [WARN: ...] 标记
"""
import re
import uuid
import networkx as nx
from networkx.drawing.nx_agraph import to_agraph
import matplotlib.pyplot as plt
from typing import Dict, List, Any, Tuple, Optional
Json = Dict[str, Any]
# ==================== 默认配置 ====================
# 设备名配置
DEVICE_NAME_HOST = "host_node" # create_resource 固定在 host_node 上执行
DEVICE_NAME_DEFAULT = "PRCXI" # transfer_liquid, set_liquid_from_plate 等动作的默认设备名
# 节点类型
NODE_TYPE_DEFAULT = "ILab" # 所有节点的默认类型
# create_resource 节点默认参数
CREATE_RESOURCE_DEFAULTS = {
"device_id": "/PRCXI",
"parent_template": "/PRCXI/PRCXI_Deck",
"class_name": "PRCXI_BioER_96_wellplate",
}
# 默认液体体积 (uL)
DEFAULT_LIQUID_VOLUME = 1e5
# 参数重命名映射:单数 -> 复数(用于 transfer_liquid 等动作)
PARAM_RENAME_MAPPING = {
"asp_vol": "asp_vols",
"dis_vol": "dis_vols",
"asp_flow_rate": "asp_flow_rates",
"dis_flow_rate": "dis_flow_rates",
}
# ---------------- Graph ----------------
class WorkflowGraph:
"""简单的有向图实现:使用 params 单层参数inputs 内含连线;支持 node-link 导出"""
def __init__(self):
self.nodes: Dict[str, Dict[str, Any]] = {}
self.edges: List[Dict[str, Any]] = []
def add_node(self, node_id: str, **attrs):
self.nodes[node_id] = attrs
def add_edge(self, source: str, target: str, **attrs):
# 将 source_port/target_port 映射为服务端期望的 source_handle_key/target_handle_key
source_handle_key = attrs.pop("source_port", "") or attrs.pop("source_handle_key", "")
target_handle_key = attrs.pop("target_port", "") or attrs.pop("target_handle_key", "")
edge = {
"source": source,
"target": target,
"source_node_uuid": source,
"target_node_uuid": target,
"source_handle_key": source_handle_key,
"source_handle_io": attrs.pop("source_handle_io", "source"),
"target_handle_key": target_handle_key,
"target_handle_io": attrs.pop("target_handle_io", "target"),
**attrs,
}
self.edges.append(edge)
def _materialize_wiring_into_inputs(
self,
obj: Any,
inputs: Dict[str, Any],
variable_sources: Dict[str, Dict[str, Any]],
target_node_id: str,
base_path: List[str],
):
has_var = False
def walk(node: Any, path: List[str]):
nonlocal has_var
if isinstance(node, dict):
if "__var__" in node:
has_var = True
varname = node["__var__"]
placeholder = f"${{{varname}}}"
src = variable_sources.get(varname)
if src:
key = ".".join(path) # e.g. "params.foo.bar.0"
inputs[key] = {"node": src["node_id"], "output": src.get("output_name", "result")}
self.add_edge(
str(src["node_id"]),
target_node_id,
source_handle_io=src.get("output_name", "result"),
target_handle_io=key,
)
return placeholder
return {k: walk(v, path + [k]) for k, v in node.items()}
if isinstance(node, list):
return [walk(v, path + [str(i)]) for i, v in enumerate(node)]
return node
replaced = walk(obj, base_path[:])
return replaced, has_var
def add_workflow_node(
self,
node_id: int,
*,
device_key: Optional[str] = None, # 实例名,如 "ser"
resource_name: Optional[str] = None, # registry key原 device_class
module: Optional[str] = None,
template_name: Optional[str] = None, # 动作/模板名(原 action_key
params: Dict[str, Any],
variable_sources: Dict[str, Dict[str, Any]],
add_ready_if_no_vars: bool = True,
prev_node_id: Optional[int] = None,
**extra_attrs,
) -> None:
"""添加工作流节点params 单层;自动变量连线与 ready 串联;支持附加属性"""
node_id_str = str(node_id)
inputs: Dict[str, Any] = {}
params, has_var = self._materialize_wiring_into_inputs(
params, inputs, variable_sources, node_id_str, base_path=["params"]
)
if add_ready_if_no_vars and not has_var:
last_id = str(prev_node_id) if prev_node_id is not None else "-1"
inputs["ready"] = {"node": int(last_id), "output": "ready"}
self.add_edge(last_id, node_id_str, source_handle_io="ready", target_handle_io="ready")
node_obj = {
"device_key": device_key,
"resource_name": resource_name, # ✅ 新名字
"module": module,
"template_name": template_name, # ✅ 新名字
"params": params,
"inputs": inputs,
}
node_obj.update(extra_attrs or {})
self.add_node(node_id_str, parameters=node_obj)
# 顺序工作流导出(连线在 inputs不返回 edges
def to_dict(self) -> List[Dict[str, Any]]:
result = []
for node_id, attrs in self.nodes.items():
node = {"uuid": node_id}
params = dict(attrs.get("parameters", {}) or {})
flat = {k: v for k, v in attrs.items() if k != "parameters"}
flat.update(params)
node.update(flat)
result.append(node)
return sorted(result, key=lambda n: int(n["uuid"]) if str(n["uuid"]).isdigit() else n["uuid"])
# node-link 导出(含 edges
def to_node_link_dict(self) -> Dict[str, Any]:
nodes_list = []
for node_id, attrs in self.nodes.items():
node_attrs = attrs.copy()
params = node_attrs.pop("parameters", {}) or {}
node_attrs.update(params)
nodes_list.append({"uuid": node_id, **node_attrs})
return {
"directed": True,
"multigraph": False,
"graph": {},
"nodes": nodes_list,
"edges": self.edges,
"links": self.edges,
}
def refactor_data(
data: List[Dict[str, Any]],
action_resource_mapping: Optional[Dict[str, str]] = None,
) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板
Args:
data: 原始步骤数据列表
action_resource_mapping: action 到 resource_name 的映射字典,可选
"""
refactored_data = []
# 定义操作映射,包含生物实验和有机化学的所有操作
OPERATION_MAPPING = {
# 生物实验操作
"transfer_liquid": "transfer_liquid",
"transfer": "transfer",
"incubation": "incubation",
"move_labware": "move_labware",
"oscillation": "oscillation",
# 有机化学操作
"HeatChillToTemp": "HeatChillProtocol",
"StopHeatChill": "HeatChillStopProtocol",
"StartHeatChill": "HeatChillStartProtocol",
"HeatChill": "HeatChillProtocol",
"Dissolve": "DissolveProtocol",
"Transfer": "TransferProtocol",
"Evaporate": "EvaporateProtocol",
"Recrystallize": "RecrystallizeProtocol",
"Filter": "FilterProtocol",
"Dry": "DryProtocol",
"Add": "AddProtocol",
}
UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
for step in data:
operation = step.get("action")
if not operation or operation in UNSUPPORTED_OPERATIONS:
continue
# 处理重复操作
if operation == "Repeat":
times = step.get("times", step.get("parameters", {}).get("times", 1))
sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
for i in range(int(times)):
sub_data = refactor_data(sub_steps, action_resource_mapping)
refactored_data.extend(sub_data)
continue
# 获取模板名称
template_name = OPERATION_MAPPING.get(operation)
if not template_name:
# 自动推断模板类型
if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
template_name = f"biomek-{operation}"
else:
template_name = f"{operation}Protocol"
# 获取 resource_name
resource_name = f"device.{operation.lower()}"
if action_resource_mapping:
resource_name = action_resource_mapping.get(operation, resource_name)
# 获取步骤编号,生成 name 字段
step_number = step.get("step_number")
name = f"Step {step_number}" if step_number is not None else None
# 创建步骤数据
step_data = {
"template_name": template_name,
"resource_name": resource_name,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"param": step.get("parameters", step.get("action_args", {})),
"footer": f"{template_name}-{resource_name}",
}
if name:
step_data["name"] = name
refactored_data.append(step_data)
return refactored_data
def build_protocol_graph(
labware_info: Dict[str, Dict[str, Any]],
protocol_steps: List[Dict[str, Any]],
workstation_name: str,
action_resource_mapping: Optional[Dict[str, str]] = None,
labware_defs: Optional[List[Dict[str, Any]]] = None,
) -> WorkflowGraph:
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑
Args:
labware_info: reagent 信息字典,格式为 {name: {slot, well}, ...},用于 set_liquid 和 well 查找
protocol_steps: 协议步骤列表
workstation_name: 工作站名称
action_resource_mapping: action 到 resource_name 的映射字典,可选
labware_defs: labware 定义列表,格式为 [{"name": "...", "slot": "1", "type": "lab_xxx"}, ...]
"""
G = WorkflowGraph()
resource_last_writer = {} # reagent_name -> "node_id:port"
slot_to_create_resource = {} # slot -> create_resource node_id
protocol_steps = refactor_data(protocol_steps, action_resource_mapping)
# ==================== 第一步:按 slot 创建 create_resource 节点 ====================
# 创建 Group 节点,包含所有 create_resource 节点
group_node_id = str(uuid.uuid4())
G.add_node(
group_node_id,
name="Resources Group",
type="Group",
parent_uuid="",
lab_node_type="Device",
template_name="",
resource_name="",
footer="",
minimized=True,
param=None,
)
# 直接使用 JSON 中的 labware 定义,每个 slot 一条记录type 即 class_name
res_index = 0
for lw in (labware_defs or []):
slot = str(lw.get("slot", ""))
if not slot or slot in slot_to_create_resource:
continue # 跳过空 slot 或已处理的 slot
lw_name = lw.get("name", f"slot {slot}")
lw_type = lw.get("type", CREATE_RESOURCE_DEFAULTS["class_name"])
res_id = f"plate_slot_{slot}"
res_index += 1
node_id = str(uuid.uuid4())
G.add_node(
node_id,
template_name="create_resource",
resource_name="host_node",
name=lw_name,
description=f"Create {lw_name}",
lab_node_type="Labware",
footer="create_resource-host_node",
device_name=DEVICE_NAME_HOST,
type=NODE_TYPE_DEFAULT,
parent_uuid=group_node_id,
minimized=True,
param={
"res_id": res_id,
"device_id": CREATE_RESOURCE_DEFAULTS["device_id"],
"class_name": lw_type,
"parent": CREATE_RESOURCE_DEFAULTS["parent_template"],
"bind_locations": {"x": 0.0, "y": 0.0, "z": 0.0},
"slot_on_deck": slot,
},
)
slot_to_create_resource[slot] = node_id
# ==================== 第二步:为每个 reagent 创建 set_liquid_from_plate 节点 ====================
# 创建 Group 节点,包含所有 set_liquid_from_plate 节点
set_liquid_group_id = str(uuid.uuid4())
G.add_node(
set_liquid_group_id,
name="SetLiquid Group",
type="Group",
parent_uuid="",
lab_node_type="Device",
template_name="",
resource_name="",
footer="",
minimized=True,
param=None,
)
set_liquid_index = 0
for labware_id, item in labware_info.items():
# 跳过 Tip/Rack 类型
if "Rack" in str(labware_id) or "Tip" in str(labware_id):
continue
if item.get("type") == "hardware":
continue
slot = str(item.get("slot", ""))
wells = item.get("well", [])
if not wells or not slot:
continue
# res_id 不能有空格
res_id = str(labware_id).replace(" ", "_")
well_count = len(wells)
node_id = str(uuid.uuid4())
set_liquid_index += 1
G.add_node(
node_id,
template_name="set_liquid_from_plate",
resource_name="liquid_handler.prcxi",
name=f"SetLiquid {set_liquid_index}",
description=f"Set liquid: {labware_id}",
lab_node_type="Reagent",
footer="set_liquid_from_plate-liquid_handler.prcxi",
device_name=DEVICE_NAME_DEFAULT,
type=NODE_TYPE_DEFAULT,
parent_uuid=set_liquid_group_id, # 指向 Group 节点
minimized=True, # 折叠显示
param={
"plate": [], # 通过连接传递
"well_names": wells, # 孔位名数组,如 ["A1", "A3", "A5"]
"liquid_names": [res_id] * well_count,
"volumes": [DEFAULT_LIQUID_VOLUME] * well_count,
},
)
# set_liquid_from_plate 之间不需要 ready 连接
# 物料流create_resource 的 labware -> set_liquid_from_plate 的 input_plate
create_res_node_id = slot_to_create_resource.get(slot)
if create_res_node_id:
G.add_edge(create_res_node_id, node_id, source_port="labware", target_port="input_plate")
# set_liquid_from_plate 的输出 output_wells 用于连接 transfer_liquid
resource_last_writer[labware_id] = f"{node_id}:output_wells"
# transfer_liquid 之间通过 ready 串联,从 None 开始
last_control_node_id = None
# 端口名称映射JSON 字段名 -> 实际 handle key
INPUT_PORT_MAPPING = {
"sources": "sources_identifier",
"targets": "targets_identifier",
"vessel": "vessel",
"to_vessel": "to_vessel",
"from_vessel": "from_vessel",
"reagent": "reagent",
"solvent": "solvent",
"compound": "compound",
}
OUTPUT_PORT_MAPPING = {
"sources": "sources_out", # 输出端口是 xxx_out
"targets": "targets_out", # 输出端口是 xxx_out
"vessel": "vessel_out",
"to_vessel": "to_vessel_out",
"from_vessel": "from_vessel_out",
"filtrate_vessel": "filtrate_out",
"reagent": "reagent",
"solvent": "solvent",
"compound": "compound",
}
# 需要根据 wells 数量扩展的参数列表(复数形式)
EXPAND_BY_WELLS_PARAMS = ["asp_vols", "dis_vols", "asp_flow_rates", "dis_flow_rates"]
# 处理协议步骤
for step in protocol_steps:
node_id = str(uuid.uuid4())
params = step.get("param", {}).copy() # 复制一份,避免修改原数据
connected_params = set() # 记录被连接的参数
warnings = [] # 收集警告信息
# 参数重命名:单数 -> 复数
for old_name, new_name in PARAM_RENAME_MAPPING.items():
if old_name in params:
params[new_name] = params.pop(old_name)
# 处理输入连接
for param_key, target_port in INPUT_PORT_MAPPING.items():
resource_name = params.get(param_key)
if resource_name and resource_name in resource_last_writer:
source_node, source_port = resource_last_writer[resource_name].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
connected_params.add(param_key)
elif resource_name and resource_name not in resource_last_writer:
# 资源名在 labware_info 中不存在
warnings.append(f"{param_key}={resource_name} 未找到")
# 获取 targets 对应的 wells 数量,用于扩展参数
targets_name = params.get("targets")
sources_name = params.get("sources")
targets_wells_count = 1
sources_wells_count = 1
if targets_name and targets_name in labware_info:
target_wells = labware_info[targets_name].get("well", [])
targets_wells_count = len(target_wells) if target_wells else 1
elif targets_name:
warnings.append(f"targets={targets_name} 未在 reagent 中定义")
if sources_name and sources_name in labware_info:
source_wells = labware_info[sources_name].get("well", [])
sources_wells_count = len(source_wells) if source_wells else 1
elif sources_name:
warnings.append(f"sources={sources_name} 未在 reagent 中定义")
# 检查 sources 和 targets 的 wells 数量是否匹配
if targets_wells_count != sources_wells_count and targets_name and sources_name:
warnings.append(f"wells 数量不匹配: sources={sources_wells_count}, targets={targets_wells_count}")
# 使用 targets 的 wells 数量来扩展参数
wells_count = targets_wells_count
# 扩展单值参数为数组(根据 targets 的 wells 数量)
for expand_param in EXPAND_BY_WELLS_PARAMS:
if expand_param in params:
value = params[expand_param]
# 如果是单个值,扩展为数组
if not isinstance(value, list):
params[expand_param] = [value] * wells_count
# 如果已经是数组但长度不对,记录警告
elif len(value) != wells_count:
warnings.append(f"{expand_param} 数量({len(value)})与 wells({wells_count})不匹配")
# 如果 sources/targets 已通过连接传递,将参数值改为空数组
for param_key in connected_params:
if param_key in params:
params[param_key] = []
# 更新 step 的 param、footer、device_name 和 type
step_copy = step.copy()
step_copy["param"] = params
step_copy["device_name"] = DEVICE_NAME_DEFAULT # 动作节点使用默认设备名
step_copy["type"] = NODE_TYPE_DEFAULT # 节点类型
# 如果有警告,修改 footer 添加警告标记(警告放前面)
if warnings:
original_footer = step.get("footer", "")
step_copy["footer"] = f"[WARN: {'; '.join(warnings)}] {original_footer}"
G.add_node(node_id, **step_copy)
# 控制流
if last_control_node_id is not None:
G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
last_control_node_id = node_id
# 处理输出:更新 resource_last_writer
for param_key, output_port in OUTPUT_PORT_MAPPING.items():
resource_name = step.get("param", {}).get(param_key) # 使用原始参数值
if resource_name:
resource_last_writer[resource_name] = f"{node_id}:{output_port}"
return G
def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
"""
(辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图,用于可视化。
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template_name", node_id[:8]))
G.add_node(node_id, label=label, **attrs)
for edge in protocol_graph.edges:
G.add_edge(edge["source"], edge["target"])
plt.figure(figsize=(20, 15))
try:
pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
except Exception:
pos = nx.shell_layout(G) # Fallback layout
node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
nx.draw(
G,
pos,
with_labels=False,
node_size=2500,
node_color="skyblue",
node_shape="o",
edge_color="gray",
width=1.5,
arrowsize=15,
)
nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
plt.title("Chemical Protocol Workflow Graph", size=15)
plt.savefig(output_path, dpi=300, bbox_inches="tight")
plt.close()
print(f" - Visualization saved to '{output_path}'")
COMPASS = {"n", "e", "s", "w", "ne", "nw", "se", "sw", "c"}
def _is_compass(port: str) -> bool:
return isinstance(port, str) and port.lower() in COMPASS
def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
"""
使用 Graphviz 端口语法绘制协议工作流图。
- 若边上的 source_port/target_port 是 compassn/e/s/w/...),直接用 compass。
- 否则自动为节点创建 record 形状并定义命名端口 <portname>。
最终由 PyGraphviz 渲染并输出到 output_path后缀决定格式如 .png/.svg/.pdf
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
# 1) 先用 networkx 搭建有向图,保留端口属性
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template_name", node_id[:8]))
# 保留一个干净的“中心标签”,用于放在 record 的中间槽
G.add_node(node_id, _core_label=str(label), **{k: v for k, v in attrs.items() if k not in ("label",)})
edges_data = []
in_ports_by_node = {} # 收集命名输入端口
out_ports_by_node = {} # 收集命名输出端口
for edge in protocol_graph.edges:
u = edge["source"]
v = edge["target"]
sp = edge.get("source_handle_key") or edge.get("source_port")
tp = edge.get("target_handle_key") or edge.get("target_port")
# 记录到图里(保留原始端口信息)
G.add_edge(u, v, source_handle_key=sp, target_handle_key=tp)
edges_data.append((u, v, sp, tp))
# 如果不是 compass就按“命名端口”先归类等会儿给节点造 record
if sp and not _is_compass(sp):
out_ports_by_node.setdefault(u, set()).add(str(sp))
if tp and not _is_compass(tp):
in_ports_by_node.setdefault(v, set()).add(str(tp))
# 2) 转为 AGraph使用 Graphviz 渲染
A = to_agraph(G)
A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
A.node_attr.update(
shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica"
)
A.edge_attr.update(arrowsize="0.8", color="#666666")
# 3) 为需要命名端口的节点设置 record 形状与 label
# 左列 = 输入端口;中间 = 核心标签;右列 = 输出端口
for n in A.nodes():
node = A.get_node(n)
core = G.nodes[n].get("_core_label", n)
in_ports = sorted(in_ports_by_node.get(n, []))
out_ports = sorted(out_ports_by_node.get(n, []))
# 如果该节点涉及命名端口,则用 record否则保留原 box
if in_ports or out_ports:
def port_fields(ports):
if not ports:
return " " # 必须留一个空槽占位
# 每个端口一个小格子,<p> name
return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
left = port_fields(in_ports)
right = port_fields(out_ports)
# 三栏:左(入) | 中(节点名) | 右(出)
record_label = f"{{ {left} | {core} | {right} }}"
node.attr.update(shape="record", label=record_label)
else:
# 没有命名端口:普通盒子,显示核心标签
node.attr.update(label=str(core))
# 4) 给边设置 headport / tailport
# - 若端口为 compass直接用 compasse.g., headport="e"
# - 若端口为命名端口:使用在 record 中定义的 <port> 名(同名即可)
for u, v, sp, tp in edges_data:
e = A.get_edge(u, v)
# Graphviz 属性tail 是源head 是目标
if sp:
if _is_compass(sp):
e.attr["tailport"] = sp.lower()
else:
# 与 record label 中 <port> 名一致;特殊字符已在 label 中做了清洗
e.attr["tailport"] = re.sub(r"[^A-Za-z0-9_:.|-]", "_", str(sp))
if tp:
if _is_compass(tp):
e.attr["headport"] = tp.lower()
else:
e.attr["headport"] = re.sub(r"[^A-Za-z0-9_:.|-]", "_", str(tp))
# 可选:若想让边更贴边缘,可设置 constraint/spline 等
# e.attr["arrowhead"] = "vee"
# 5) 输出
A.draw(output_path, prog="dot")
print(f" - Port-aware workflow rendered to '{output_path}'")
# ---------------- Registry Adapter ----------------
class RegistryAdapter:
"""根据 module 的类名(冒号右侧)反查 registry 的 resource_name原 device_class并抽取参数顺序"""
def __init__(self, device_registry: Dict[str, Any]):
self.device_registry = device_registry or {}
self.module_class_to_resource = self._build_module_class_index()
def _build_module_class_index(self) -> Dict[str, str]:
idx = {}
for resource_name, info in self.device_registry.items():
module = info.get("module")
if isinstance(module, str) and ":" in module:
cls = module.split(":")[-1]
idx[cls] = resource_name
idx[cls.lower()] = resource_name
return idx
def resolve_resource_by_classname(self, class_name: str) -> Optional[str]:
if not class_name:
return None
return self.module_class_to_resource.get(class_name) or self.module_class_to_resource.get(class_name.lower())
def get_device_module(self, resource_name: Optional[str]) -> Optional[str]:
if not resource_name:
return None
return self.device_registry.get(resource_name, {}).get("module")
def get_actions(self, resource_name: Optional[str]) -> Dict[str, Any]:
if not resource_name:
return {}
return (self.device_registry.get(resource_name, {}).get("class", {}).get("action_value_mappings", {})) or {}
def get_action_schema(self, resource_name: Optional[str], template_name: str) -> Optional[Json]:
return (self.get_actions(resource_name).get(template_name) or {}).get("schema")
def get_action_goal_default(self, resource_name: Optional[str], template_name: str) -> Json:
return (self.get_actions(resource_name).get(template_name) or {}).get("goal_default", {}) or {}
def get_action_input_keys(self, resource_name: Optional[str], template_name: str) -> List[str]:
schema = self.get_action_schema(resource_name, template_name) or {}
goal = (schema.get("properties") or {}).get("goal") or {}
props = goal.get("properties") or {}
required = goal.get("required") or []
return list(dict.fromkeys(required + list(props.keys())))

View File

@@ -1,320 +0,0 @@
"""
JSON 工作流转换模块
将 workflow/reagent/labware 格式的 JSON 转换为统一工作流格式。
输入格式:
{
"labware": [
{"name": "...", "slot": "1", "type": "lab_xxx"},
...
],
"workflow": [
{"action": "...", "action_args": {...}},
...
],
"reagent": {
"reagent_name": {"slot": int, "well": [...]},
...
}
}
"""
import json
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
from unilabos.registry.registry import lab_registry
# ==================== 字段映射配置 ====================
# action 到 resource_name 的映射
ACTION_RESOURCE_MAPPING: Dict[str, str] = {
# 生物实验操作
"transfer_liquid": "liquid_handler.prcxi",
"transfer": "liquid_handler.prcxi",
"incubation": "incubator.prcxi",
"move_labware": "labware_mover.prcxi",
"oscillation": "shaker.prcxi",
# 有机化学操作
"HeatChillToTemp": "heatchill.chemputer",
"StopHeatChill": "heatchill.chemputer",
"StartHeatChill": "heatchill.chemputer",
"HeatChill": "heatchill.chemputer",
"Dissolve": "stirrer.chemputer",
"Transfer": "liquid_handler.chemputer",
"Evaporate": "rotavap.chemputer",
"Recrystallize": "reactor.chemputer",
"Filter": "filter.chemputer",
"Dry": "dryer.chemputer",
"Add": "liquid_handler.chemputer",
}
# action_args 字段到 parameters 字段的映射
# 格式: {"old_key": "new_key"}, 仅映射需要重命名的字段
ARGS_FIELD_MAPPING: Dict[str, str] = {
# 如果需要字段重命名,在这里配置
# "old_field_name": "new_field_name",
}
# 默认工作站名称
DEFAULT_WORKSTATION = "PRCXI"
# ==================== 核心转换函数 ====================
def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
"""
从 registry 获取指定设备和动作的 handles 配置
Args:
resource_name: 设备资源名称,如 "liquid_handler.prcxi"
template_name: 动作模板名称,如 "transfer_liquid"
Returns:
包含 source 和 target handler_keys 的字典:
{"source": ["sources_out", "targets_out", ...], "target": ["sources", "targets", ...]}
"""
result = {"source": [], "target": []}
device_info = lab_registry.device_type_registry.get(resource_name, {})
if not device_info:
return result
action_mappings = device_info.get("class", {}).get("action_value_mappings", {})
action_config = action_mappings.get(template_name, {})
handles = action_config.get("handles", {})
if isinstance(handles, dict):
for handle in handles.get("input", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["source"].append(handler_key)
for handle in handles.get("output", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["target"].append(handler_key)
return result
def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
"""
校验工作流图中所有边的句柄配置是否正确
Args:
graph: 工作流图对象
Returns:
(is_valid, errors): 是否有效,错误信息列表
"""
errors = []
nodes = graph.nodes
for edge in graph.edges:
left_uuid = edge.get("source")
right_uuid = edge.get("target")
right_source_conn_key = edge.get("target_handle_key", "")
left_target_conn_key = edge.get("source_handle_key", "")
left_node = nodes.get(left_uuid, {})
right_node = nodes.get(right_uuid, {})
left_res_name = left_node.get("resource_name", "")
left_template_name = left_node.get("template_name", "")
right_res_name = right_node.get("resource_name", "")
right_template_name = right_node.get("template_name", "")
left_node_handles = get_action_handles(left_res_name, left_template_name)
target_valid_keys = left_node_handles.get("target", [])
target_valid_keys.append("ready")
right_node_handles = get_action_handles(right_res_name, right_template_name)
source_valid_keys = right_node_handles.get("source", [])
source_valid_keys.append("ready")
# 验证目标节点right的输入端口
if not right_source_conn_key:
node_name = right_node.get("name", right_uuid[:8])
errors.append(f"目标节点 '{node_name}' 的输入端口 (target_handle_key) 为空,应设置为: {source_valid_keys}")
elif right_source_conn_key not in source_valid_keys:
node_name = right_node.get("name", right_uuid[:8])
errors.append(
f"目标节点 '{node_name}' 的输入端口 '{right_source_conn_key}' 不存在,支持的输入端口: {source_valid_keys}"
)
# 验证源节点left的输出端口
if not left_target_conn_key:
node_name = left_node.get("name", left_uuid[:8])
errors.append(f"源节点 '{node_name}' 的输出端口 (source_handle_key) 为空,应设置为: {target_valid_keys}")
elif left_target_conn_key not in target_valid_keys:
node_name = left_node.get("name", left_uuid[:8])
errors.append(
f"源节点 '{node_name}' 的输出端口 '{left_target_conn_key}' 不存在,支持的输出端口: {target_valid_keys}"
)
return len(errors) == 0, errors
def normalize_workflow_steps(workflow: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
将 workflow 格式的步骤数据规范化
输入格式:
[{"action": "...", "action_args": {...}}, ...]
输出格式:
[{"action": "...", "parameters": {...}, "step_number": int}, ...]
Args:
workflow: workflow 数组
Returns:
规范化后的步骤列表
"""
normalized = []
for idx, step in enumerate(workflow):
action = step.get("action")
if not action:
continue
# 获取参数: action_args
raw_params = step.get("action_args", {})
params = {}
# 应用字段映射
for key, value in raw_params.items():
mapped_key = ARGS_FIELD_MAPPING.get(key, key)
params[mapped_key] = value
step_dict = {
"action": action,
"parameters": params,
"step_number": idx + 1,
}
# 保留描述字段
if "description" in step:
step_dict["description"] = step["description"]
normalized.append(step_dict)
return normalized
def convert_from_json(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = DEFAULT_WORKSTATION,
validate: bool = True,
) -> WorkflowGraph:
"""
从 JSON 数据或文件转换为 WorkflowGraph
JSON 格式:
{"workflow": [...], "reagent": {...}}
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
validate: 是否校验句柄配置,默认 True
Returns:
WorkflowGraph: 构建好的工作流图
Raises:
ValueError: 不支持的 JSON 格式
FileNotFoundError: 文件不存在
json.JSONDecodeError: JSON 解析失败
"""
# 处理输入数据
if isinstance(data, (str, PathLike)):
path = Path(data)
if path.exists():
with path.open("r", encoding="utf-8") as fp:
json_data = json.load(fp)
elif isinstance(data, str):
json_data = json.loads(data)
else:
raise FileNotFoundError(f"文件不存在: {data}")
elif isinstance(data, dict):
json_data = data
else:
raise TypeError(f"不支持的数据类型: {type(data)}")
# 校验格式
if "workflow" not in json_data or "reagent" not in json_data:
raise ValueError(
"不支持的 JSON 格式。请使用标准格式:\n"
'{"labware": [...], "workflow": [...], "reagent": {...}}'
)
# 提取数据
workflow = json_data["workflow"]
reagent = json_data["reagent"]
labware_defs = json_data.get("labware", []) # 新的 labware 定义列表
# 规范化步骤数据
protocol_steps = normalize_workflow_steps(workflow)
# reagent 已经是字典格式,用于 set_liquid 和 well 数量查找
labware_info = reagent
# 构建工作流图
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name=workstation_name,
action_resource_mapping=ACTION_RESOURCE_MAPPING,
labware_defs=labware_defs,
)
# 校验句柄配置
if validate:
is_valid, errors = validate_workflow_handles(graph)
if not is_valid:
import warnings
for error in errors:
warnings.warn(f"句柄校验警告: {error}")
return graph
def convert_json_to_node_link(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = DEFAULT_WORKSTATION,
) -> Dict[str, Any]:
"""
将 JSON 数据转换为 node-link 格式的字典
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
Dict: node-link 格式的工作流数据
"""
graph = convert_from_json(data, workstation_name)
return graph.to_node_link_dict()
def convert_json_to_workflow_list(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = DEFAULT_WORKSTATION,
) -> List[Dict[str, Any]]:
"""
将 JSON 数据转换为工作流列表格式
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
List: 工作流节点列表
"""
graph = convert_from_json(data, workstation_name)
return graph.to_dict()

View File

@@ -1,241 +0,0 @@
import ast
import json
from typing import Dict, List, Any, Tuple, Optional
from .common import WorkflowGraph, RegistryAdapter
Json = Dict[str, Any]
# ---------------- Converter ----------------
class DeviceMethodConverter:
"""
- 字段统一resource_name原 device_class、template_name原 action_key
- params 单层inputs 使用 'params.' 前缀
- SimpleGraph.add_workflow_node 负责变量连线与边
"""
def __init__(self, device_registry: Optional[Dict[str, Any]] = None):
self.graph = WorkflowGraph()
self.variable_sources: Dict[str, Dict[str, Any]] = {} # var -> {node_id, output_name}
self.instance_to_resource: Dict[str, Optional[str]] = {} # 实例名 -> resource_name
self.node_id_counter: int = 0
self.registry = RegistryAdapter(device_registry or {})
# ---- helpers ----
def _new_node_id(self) -> int:
nid = self.node_id_counter
self.node_id_counter += 1
return nid
def _assign_targets(self, targets) -> List[str]:
names: List[str] = []
import ast
if isinstance(targets, ast.Tuple):
for elt in targets.elts:
if isinstance(elt, ast.Name):
names.append(elt.id)
elif isinstance(targets, ast.Name):
names.append(targets.id)
return names
def _extract_device_instantiation(self, node) -> Optional[Tuple[str, str]]:
import ast
if not isinstance(node.value, ast.Call):
return None
callee = node.value.func
if isinstance(callee, ast.Name):
class_name = callee.id
elif isinstance(callee, ast.Attribute) and isinstance(callee.value, ast.Name):
class_name = callee.attr
else:
return None
if isinstance(node.targets[0], ast.Name):
instance = node.targets[0].id
return instance, class_name
return None
def _extract_call(self, call) -> Tuple[str, str, Dict[str, Any], str]:
import ast
owner_name, method_name, call_kind = "", "", "func"
if isinstance(call.func, ast.Attribute):
method_name = call.func.attr
if isinstance(call.func.value, ast.Name):
owner_name = call.func.value.id
call_kind = "instance" if owner_name in self.instance_to_resource else "class_or_module"
elif isinstance(call.func.value, ast.Attribute) and isinstance(call.func.value.value, ast.Name):
owner_name = call.func.value.attr
call_kind = "class_or_module"
elif isinstance(call.func, ast.Name):
method_name = call.func.id
call_kind = "func"
def pack(node):
if isinstance(node, ast.Name):
return {"type": "variable", "value": node.id}
if isinstance(node, ast.Constant):
return {"type": "constant", "value": node.value}
if isinstance(node, ast.Dict):
return {"type": "dict", "value": self._parse_dict(node)}
if isinstance(node, ast.List):
return {"type": "list", "value": self._parse_list(node)}
return {"type": "raw", "value": ast.unparse(node) if hasattr(ast, "unparse") else str(node)}
args: Dict[str, Any] = {}
pos: List[Any] = []
for a in call.args:
pos.append(pack(a))
for kw in call.keywords:
args[kw.arg] = pack(kw.value)
if pos:
args["_positional"] = pos
return owner_name, method_name, args, call_kind
def _parse_dict(self, node) -> Dict[str, Any]:
import ast
out: Dict[str, Any] = {}
for k, v in zip(node.keys, node.values):
if isinstance(k, ast.Constant):
key = str(k.value)
if isinstance(v, ast.Name):
out[key] = f"var:{v.id}"
elif isinstance(v, ast.Constant):
out[key] = v.value
elif isinstance(v, ast.Dict):
out[key] = self._parse_dict(v)
elif isinstance(v, ast.List):
out[key] = self._parse_list(v)
return out
def _parse_list(self, node) -> List[Any]:
import ast
out: List[Any] = []
for elt in node.elts:
if isinstance(elt, ast.Name):
out.append(f"var:{elt.id}")
elif isinstance(elt, ast.Constant):
out.append(elt.value)
elif isinstance(elt, ast.Dict):
out.append(self._parse_dict(elt))
elif isinstance(elt, ast.List):
out.append(self._parse_list(elt))
return out
def _normalize_var_tokens(self, x: Any) -> Any:
if isinstance(x, str) and x.startswith("var:"):
return {"__var__": x[4:]}
if isinstance(x, list):
return [self._normalize_var_tokens(i) for i in x]
if isinstance(x, dict):
return {k: self._normalize_var_tokens(v) for k, v in x.items()}
return x
def _make_params_payload(self, resource_name: Optional[str], template_name: str, call_args: Dict[str, Any]) -> Dict[str, Any]:
input_keys = self.registry.get_action_input_keys(resource_name, template_name) if resource_name else []
defaults = self.registry.get_action_goal_default(resource_name, template_name) if resource_name else {}
params: Dict[str, Any] = dict(defaults)
def unpack(p):
t, v = p.get("type"), p.get("value")
if t == "variable":
return {"__var__": v}
if t == "dict":
return self._normalize_var_tokens(v)
if t == "list":
return self._normalize_var_tokens(v)
return v
for k, p in call_args.items():
if k == "_positional":
continue
params[k] = unpack(p)
pos = call_args.get("_positional", [])
if pos:
if input_keys:
for i, p in enumerate(pos):
if i >= len(input_keys):
break
name = input_keys[i]
if name in params:
continue
params[name] = unpack(p)
else:
for i, p in enumerate(pos):
params[f"arg_{i}"] = unpack(p)
return params
# ---- handlers ----
def _on_assign(self, stmt):
import ast
inst = self._extract_device_instantiation(stmt)
if inst:
instance, code_class = inst
resource_name = self.registry.resolve_resource_by_classname(code_class)
self.instance_to_resource[instance] = resource_name
return
if isinstance(stmt.value, ast.Call):
owner, method, call_args, kind = self._extract_call(stmt.value)
if kind == "instance":
device_key = owner
resource_name = self.instance_to_resource.get(owner)
else:
device_key = owner
resource_name = self.registry.resolve_resource_by_classname(owner)
module = self.registry.get_device_module(resource_name)
params = self._make_params_payload(resource_name, method, call_args)
nid = self._new_node_id()
self.graph.add_workflow_node(
nid,
device_key=device_key,
resource_name=resource_name, # ✅
module=module,
template_name=method, # ✅
params=params,
variable_sources=self.variable_sources,
add_ready_if_no_vars=True,
prev_node_id=(nid - 1) if nid > 0 else None,
)
out_vars = self._assign_targets(stmt.targets[0])
for var in out_vars:
self.variable_sources[var] = {"node_id": nid, "output_name": "result"}
def _on_expr(self, stmt):
import ast
if not isinstance(stmt.value, ast.Call):
return
owner, method, call_args, kind = self._extract_call(stmt.value)
if kind == "instance":
device_key = owner
resource_name = self.instance_to_resource.get(owner)
else:
device_key = owner
resource_name = self.registry.resolve_resource_by_classname(owner)
module = self.registry.get_device_module(resource_name)
params = self._make_params_payload(resource_name, method, call_args)
nid = self._new_node_id()
self.graph.add_workflow_node(
nid,
device_key=device_key,
resource_name=resource_name, # ✅
module=module,
template_name=method, # ✅
params=params,
variable_sources=self.variable_sources,
add_ready_if_no_vars=True,
prev_node_id=(nid - 1) if nid > 0 else None,
)
def convert(self, python_code: str):
tree = ast.parse(python_code)
for stmt in tree.body:
if isinstance(stmt, ast.Assign):
self._on_assign(stmt)
elif isinstance(stmt, ast.Expr):
self._on_expr(stmt)
return self

View File

@@ -1,131 +0,0 @@
from typing import List, Any, Dict
import xml.etree.ElementTree as ET
def convert_to_type(val: str) -> Any:
"""将字符串值转换为适当的数据类型"""
if val == "True":
return True
if val == "False":
return False
if val == "?":
return None
if val.endswith(" g"):
return float(val.split(" ")[0])
if val.endswith("mg"):
return float(val.split("mg")[0])
elif val.endswith("mmol"):
return float(val.split("mmol")[0]) / 1000
elif val.endswith("mol"):
return float(val.split("mol")[0])
elif val.endswith("ml"):
return float(val.split("ml")[0])
elif val.endswith("RPM"):
return float(val.split("RPM")[0])
elif val.endswith(" °C"):
return float(val.split(" ")[0])
elif val.endswith(" %"):
return float(val.split(" ")[0])
return val
def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
"""展平嵌套的XDL程序结构"""
flattened_operations = []
TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
def extract_operations(element: ET.Element):
if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
flattened_operations.append(element)
for child in element:
extract_operations(child)
for child in procedure_elem:
extract_operations(child)
return flattened_operations
def parse_xdl_content(xdl_content: str) -> tuple:
"""解析XDL内容"""
try:
xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
root = ET.fromstring(xdl_content_cleaned)
synthesis_elem = root.find("Synthesis")
if synthesis_elem is None:
return None, None, None
# 解析硬件组件
hardware_elem = synthesis_elem.find("Hardware")
hardware = []
if hardware_elem is not None:
hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
# 解析试剂
reagents_elem = synthesis_elem.find("Reagents")
reagents = []
if reagents_elem is not None:
reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
# 解析程序
procedure_elem = synthesis_elem.find("Procedure")
if procedure_elem is None:
return None, None, None
flattened_operations = flatten_xdl_procedure(procedure_elem)
return hardware, reagents, flattened_operations
except ET.ParseError as e:
raise ValueError(f"Invalid XDL format: {e}")
def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
"""
将XDL XML格式转换为标准的字典格式
Args:
xdl_content: XDL XML内容
Returns:
转换结果,包含步骤和器材信息
"""
try:
hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
if hardware is None:
return {"error": "Failed to parse XDL content", "success": False}
# 将XDL元素转换为字典格式
steps_data = []
for elem in flattened_operations:
# 转换参数类型
parameters = {}
for key, val in elem.attrib.items():
converted_val = convert_to_type(val)
if converted_val is not None:
parameters[key] = converted_val
step_dict = {
"operation": elem.tag,
"parameters": parameters,
"description": elem.get("purpose", f"Operation: {elem.tag}"),
}
steps_data.append(step_dict)
# 合并硬件和试剂为统一的labware_info格式
labware_data = []
labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
return {
"success": True,
"steps": steps_data,
"labware": labware_data,
"message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
}
except Exception as e:
error_msg = f"XDL conversion failed: {str(e)}"
return {"error": error_msg, "success": False}

View File

@@ -1,356 +0,0 @@
"""
JSON 工作流转换模块
提供从多种 JSON 格式转换为统一工作流格式的功能。
支持的格式:
1. workflow/reagent 格式
2. steps_info/labware_info 格式
"""
import json
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple, Union
from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
from unilabos.registry.registry import lab_registry
def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
"""
从 registry 获取指定设备和动作的 handles 配置
Args:
resource_name: 设备资源名称,如 "liquid_handler.prcxi"
template_name: 动作模板名称,如 "transfer_liquid"
Returns:
包含 source 和 target handler_keys 的字典:
{"source": ["sources_out", "targets_out", ...], "target": ["sources", "targets", ...]}
"""
result = {"source": [], "target": []}
device_info = lab_registry.device_type_registry.get(resource_name, {})
if not device_info:
return result
action_mappings = device_info.get("class", {}).get("action_value_mappings", {})
action_config = action_mappings.get(template_name, {})
handles = action_config.get("handles", {})
if isinstance(handles, dict):
# 处理 input handles (作为 target)
for handle in handles.get("input", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["source"].append(handler_key)
# 处理 output handles (作为 source)
for handle in handles.get("output", []):
handler_key = handle.get("handler_key", "")
if handler_key:
result["target"].append(handler_key)
return result
def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
"""
校验工作流图中所有边的句柄配置是否正确
Args:
graph: 工作流图对象
Returns:
(is_valid, errors): 是否有效,错误信息列表
"""
errors = []
nodes = graph.nodes
for edge in graph.edges:
left_uuid = edge.get("source")
right_uuid = edge.get("target")
# target_handle_key是target, right的输入节点入节点
# source_handle_key是source, left的输出节点出节点
right_source_conn_key = edge.get("target_handle_key", "")
left_target_conn_key = edge.get("source_handle_key", "")
# 获取源节点和目标节点信息
left_node = nodes.get(left_uuid, {})
right_node = nodes.get(right_uuid, {})
left_res_name = left_node.get("resource_name", "")
left_template_name = left_node.get("template_name", "")
right_res_name = right_node.get("resource_name", "")
right_template_name = right_node.get("template_name", "")
# 获取源节点的 output handles
left_node_handles = get_action_handles(left_res_name, left_template_name)
target_valid_keys = left_node_handles.get("target", [])
target_valid_keys.append("ready")
# 获取目标节点的 input handles
right_node_handles = get_action_handles(right_res_name, right_template_name)
source_valid_keys = right_node_handles.get("source", [])
source_valid_keys.append("ready")
# 如果节点配置了 output handles则 source_port 必须有效
if not right_source_conn_key:
node_name = left_node.get("name", left_uuid[:8])
errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空," f"应设置为: {source_valid_keys}")
elif right_source_conn_key not in source_valid_keys:
node_name = left_node.get("name", left_uuid[:8])
errors.append(
f"源节点 '{node_name}' 的 source 端点 '{right_source_conn_key}' 不存在," f"支持的端点: {source_valid_keys}"
)
# 如果节点配置了 input handles则 target_port 必须有效
if not left_target_conn_key:
node_name = right_node.get("name", right_uuid[:8])
errors.append(f"目标节点 '{node_name}' 的 target_handle_key 为空," f"应设置为: {target_valid_keys}")
elif left_target_conn_key not in target_valid_keys:
node_name = right_node.get("name", right_uuid[:8])
errors.append(
f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在,"
f"支持的端点: {target_valid_keys}"
)
return len(errors) == 0, errors
# action 到 resource_name 的映射
ACTION_RESOURCE_MAPPING: Dict[str, str] = {
# 生物实验操作
"transfer_liquid": "liquid_handler.prcxi",
"transfer": "liquid_handler.prcxi",
"incubation": "incubator.prcxi",
"move_labware": "labware_mover.prcxi",
"oscillation": "shaker.prcxi",
# 有机化学操作
"HeatChillToTemp": "heatchill.chemputer",
"StopHeatChill": "heatchill.chemputer",
"StartHeatChill": "heatchill.chemputer",
"HeatChill": "heatchill.chemputer",
"Dissolve": "stirrer.chemputer",
"Transfer": "liquid_handler.chemputer",
"Evaporate": "rotavap.chemputer",
"Recrystallize": "reactor.chemputer",
"Filter": "filter.chemputer",
"Dry": "dryer.chemputer",
"Add": "liquid_handler.chemputer",
}
def normalize_steps(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
将不同格式的步骤数据规范化为统一格式
支持的输入格式:
- action + parameters
- action + action_args
- operation + parameters
Args:
data: 原始步骤数据列表
Returns:
规范化后的步骤列表,格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
"""
normalized = []
for idx, step in enumerate(data):
# 获取动作名称(支持 action 或 operation 字段)
action = step.get("action") or step.get("operation")
if not action:
continue
# 获取参数(支持 parameters 或 action_args 字段)
raw_params = step.get("parameters") or step.get("action_args") or {}
params = dict(raw_params)
# 规范化 source/target -> sources/targets
if "source" in raw_params and "sources" not in raw_params:
params["sources"] = raw_params["source"]
if "target" in raw_params and "targets" not in raw_params:
params["targets"] = raw_params["target"]
# 获取描述(支持 description 或 purpose 字段)
description = step.get("description") or step.get("purpose")
# 获取步骤编号(优先使用原始数据中的 step_number否则使用索引+1
step_number = step.get("step_number", idx + 1)
step_dict = {"action": action, "parameters": params, "step_number": step_number}
if description:
step_dict["description"] = description
normalized.append(step_dict)
return normalized
def normalize_labware(data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
"""
将不同格式的 labware 数据规范化为统一的字典格式
支持的输入格式:
- reagent_name + material_name + positions
- name + labware + slot
Args:
data: 原始 labware 数据列表
Returns:
规范化后的 labware 字典,格式为 {name: {"slot": int, "labware": str, "well": list, "type": str, "role": str, "name": str}, ...}
"""
labware = {}
for item in data:
# 获取 key 名称(优先使用 reagent_name其次是 material_name 或 name
reagent_name = item.get("reagent_name")
key = reagent_name or item.get("material_name") or item.get("name")
if not key:
continue
key = str(key)
# 处理重复 key自动添加后缀
idx = 1
original_key = key
while key in labware:
idx += 1
key = f"{original_key}_{idx}"
labware[key] = {
"slot": item.get("positions") or item.get("slot"),
"labware": item.get("material_name") or item.get("labware"),
"well": item.get("well", []),
"type": item.get("type", "reagent"),
"role": item.get("role", ""),
"name": key,
}
return labware
def convert_from_json(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
validate: bool = True,
) -> WorkflowGraph:
"""
从 JSON 数据或文件转换为 WorkflowGraph
支持的 JSON 格式:
1. {"workflow": [...], "reagent": {...}} - 直接格式
2. {"steps_info": [...], "labware_info": [...]} - 需要规范化的格式
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
validate: 是否校验句柄配置,默认 True
Returns:
WorkflowGraph: 构建好的工作流图
Raises:
ValueError: 不支持的 JSON 格式 或 句柄校验失败
FileNotFoundError: 文件不存在
json.JSONDecodeError: JSON 解析失败
"""
# 处理输入数据
if isinstance(data, (str, PathLike)):
path = Path(data)
if path.exists():
with path.open("r", encoding="utf-8") as fp:
json_data = json.load(fp)
elif isinstance(data, str):
# 尝试作为 JSON 字符串解析
json_data = json.loads(data)
else:
raise FileNotFoundError(f"文件不存在: {data}")
elif isinstance(data, dict):
json_data = data
else:
raise TypeError(f"不支持的数据类型: {type(data)}")
# 根据格式解析数据
if "workflow" in json_data and "reagent" in json_data:
# 格式1: workflow/reagent已经是规范格式
protocol_steps = json_data["workflow"]
labware_info = json_data["reagent"]
elif "steps_info" in json_data and "labware_info" in json_data:
# 格式2: steps_info/labware_info需要规范化
protocol_steps = normalize_steps(json_data["steps_info"])
labware_info = normalize_labware(json_data["labware_info"])
elif "steps" in json_data and "labware" in json_data:
# 格式3: steps/labware另一种常见格式
protocol_steps = normalize_steps(json_data["steps"])
if isinstance(json_data["labware"], list):
labware_info = normalize_labware(json_data["labware"])
else:
labware_info = json_data["labware"]
else:
raise ValueError(
"不支持的 JSON 格式。支持的格式:\n"
"1. {'workflow': [...], 'reagent': {...}}\n"
"2. {'steps_info': [...], 'labware_info': [...]}\n"
"3. {'steps': [...], 'labware': [...]}"
)
# 构建工作流图
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name=workstation_name,
action_resource_mapping=ACTION_RESOURCE_MAPPING,
)
# 校验句柄配置
if validate:
is_valid, errors = validate_workflow_handles(graph)
if not is_valid:
import warnings
for error in errors:
warnings.warn(f"句柄校验警告: {error}")
return graph
def convert_json_to_node_link(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
) -> Dict[str, Any]:
"""
将 JSON 数据转换为 node-link 格式的字典
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
Dict: node-link 格式的工作流数据
"""
graph = convert_from_json(data, workstation_name)
return graph.to_node_link_dict()
def convert_json_to_workflow_list(
data: Union[str, PathLike, Dict[str, Any]],
workstation_name: str = "PRCXi",
) -> List[Dict[str, Any]]:
"""
将 JSON 数据转换为工作流列表格式
Args:
data: JSON 文件路径、字典数据、或 JSON 字符串
workstation_name: 工作站名称,默认 "PRCXi"
Returns:
List: 工作流节点列表
"""
graph = convert_from_json(data, workstation_name)
return graph.to_dict()
# 为了向后兼容,保留下划线前缀的别名
_normalize_steps = normalize_steps
_normalize_labware = normalize_labware

View File

@@ -41,7 +41,6 @@ def upload_workflow(
workflow_name: Optional[str] = None,
tags: Optional[List[str]] = None,
published: bool = False,
description: str = "",
) -> Dict[str, Any]:
"""
上传工作流到服务器
@@ -57,7 +56,6 @@ def upload_workflow(
workflow_name: 工作流名称,如果不提供则从文件中读取或使用文件名
tags: 工作流标签列表,默认为空列表
published: 是否发布工作流默认为False
description: 工作流描述,发布时使用
Returns:
Dict: API响应数据
@@ -77,14 +75,6 @@ def upload_workflow(
print_status(f"工作流文件JSON解析失败: {e}", "error")
return {"code": -1, "message": f"JSON解析失败: {e}"}
# 从 JSON 文件中提取 description 和 tags作为 fallback
if not description and "description" in workflow_data:
description = workflow_data["description"]
print_status(f"从文件中读取 description", "info")
if not tags and "tags" in workflow_data:
tags = workflow_data["tags"]
print_status(f"从文件中读取 tags: {tags}", "info")
# 自动检测并转换格式
if not _is_node_link_format(workflow_data):
try:
@@ -106,7 +96,6 @@ def upload_workflow(
print_status(f" - 节点数量: {len(nodes)}", "info")
print_status(f" - 边数量: {len(edges)}", "info")
print_status(f" - 标签: {tags or []}", "info")
print_status(f" - 描述: {description[:50]}{'...' if len(description) > 50 else ''}", "info")
print_status(f" - 发布状态: {published}", "info")
# 调用 http_client 上传
@@ -118,7 +107,6 @@ def upload_workflow(
edges=edges,
tags=tags,
published=published,
description=description,
)
if result.get("code") == 0:
@@ -143,9 +131,8 @@ def handle_workflow_upload_command(args_dict: Dict[str, Any]) -> None:
workflow_name = args_dict.get("workflow_name")
tags = args_dict.get("tags", [])
published = args_dict.get("published", False)
description = args_dict.get("description", "")
if workflow_file:
upload_workflow(workflow_file, workflow_name, tags, published, description)
upload_workflow(workflow_file, workflow_name, tags, published)
else:
print_status("未指定工作流文件路径,请使用 -f/--workflow_file 参数", "error")

View File

@@ -2,7 +2,7 @@
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>unilabos_msgs</name>
<version>0.10.18</version>
<version>0.10.17</version>
<description>ROS2 Messages package for unilabos devices</description>
<maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
<maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>