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7 Commits

Author SHA1 Message Date
Junhan Chang
edc1fe853b refactor: 深度精简4个协议编译器的装饰性日志 (-335行)
dissolve, pump, stir, adjustph: 移除emoji分隔线、步骤播报、
逐字段参数dump等纯装饰性log,保留错误/警告/关键决策日志。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:44:29 +08:00
Junhan Chang
80272d691d test: 新增编译器全链路测试和资源转换测试
- test_pump_separate_full_chain: PumpTransfer和Separate全链路测试,
  验证bug修复后separate不再crash
- test_full_chain_conversion_to_compile: HeatChill/Add协议结构验证
- test_resource_conversion_path: ResourceDictInstance转换路径测试
- test_batch_transfer_protocol: AGV批量转运编译器测试
- test_agv_transport_station: AGV工作站设备测试

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:12:27 +08:00
Junhan Chang
0ab4027de7 refactor: 14个协议编译器去重精简,删除死代码
- 统一debug_print为共享import,移除14个本地定义
- 移除重复工具函数(find_connected_stirrer, get_vessel_liquid_volume等)
- 精简装饰性日志(emoji分隔线、进度提示),保留关键决策点
- 删除evacuateandrefill_protocol_old.py死代码
- 涉及文件:add, adjustph, clean_vessel, dissolve, dry, evacuateandrefill,
  evaporate, filter, pump, recrystallize, reset_handling, run_column,
  stir, wash_solid

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:12:10 +08:00
Junhan Chang
5f36b6c04b fix: 修复编译器3个确认bug + 去重简化
- separate_protocol: 修复vessel_id字符串解包crash和tuple truthy or逻辑错误
- heatchill_protocol: 修复vessel字段传入enriched dict而非vessel_id的问题
- hydrogenate_protocol: 修复5处vessel格式错误(裸字符串→{"id": vessel_id})
- 三个文件同时完成debug_print统一和工具函数去重

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:11:34 +08:00
Junhan Chang
d75c7f123b refactor: 升级编译器共享工具库(logger_util, unit_parser, vessel_parser, resource_helper)
- logger_util: 重写debug_print,支持自动检测调用模块并设置前缀
- unit_parser: 新增parse_temperature_input,统一温度字符串解析
- vessel_parser: 新增find_connected_heatchill,统一加热设备查找
- resource_helper: 新增update_vessel_volume/get_resource_liquid_volume等共享函数

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:11:14 +08:00
Junhan Chang
ed80d786c1 feat: 新增AGV批量物料转运功能
添加AGV工作站设备驱动、注册表定义、批量转运编译器和消息定义。
包含跨工作站批量转运协议、AGV路径规划、容量分批等功能。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:10:56 +08:00
Junhan Chang
9de473374f feat: 升级Resource消息系统,增加uuid和klass字段
Resource.msg新增uuid和klass字段支持ResourceDictInstance完整序列化,
message_converter增加Resource消息与Python dict的双向转换,
workstation和base_device_node增加资源同步相关功能。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 13:10:39 +08:00
211 changed files with 22768 additions and 50052 deletions

View File

@@ -3,7 +3,7 @@
package:
name: unilabos
version: 0.11.1
version: 0.10.19
source:
path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
- pymodbus
- matplotlib
- pylibftdi
- uni-lab::unilabos-env ==0.11.1
- uni-lab::unilabos-env ==0.10.19
about:
repository: https://github.com/deepmodeling/Uni-Lab-OS

View File

@@ -2,7 +2,7 @@
package:
name: unilabos-env
version: 0.11.1
version: 0.10.19
build:
noarch: generic

View File

@@ -3,7 +3,7 @@
package:
name: unilabos-full
version: 0.11.1
version: 0.10.19
build:
noarch: generic
@@ -11,7 +11,7 @@ build:
requirements:
run:
# Base unilabos package (includes unilabos-env)
- uni-lab::unilabos ==0.11.1
- uni-lab::unilabos ==0.10.19
# Documentation tools
- sphinx
- sphinx_rtd_theme

View File

@@ -1,9 +0,0 @@
@echo off
setlocal enabledelayedexpansion
REM upgrade pip
"%PREFIX%\python.exe" -m pip install --upgrade pip
REM install extra deps
"%PREFIX%\python.exe" -m pip install paho-mqtt opentrons_shared_data
"%PREFIX%\python.exe" -m pip install git+https://github.com/Xuwznln/pylabrobot.git

View File

@@ -1,9 +0,0 @@
#!/usr/bin/env bash
set -euxo pipefail
# make sure pip is available
"$PREFIX/bin/python" -m pip install --upgrade pip
# install extra deps
"$PREFIX/bin/python" -m pip install paho-mqtt opentrons_shared_data
"$PREFIX/bin/python" -m pip install git+https://github.com/Xuwznln/pylabrobot.git

View File

@@ -71,22 +71,6 @@ from unilabos.registry.decorators import action
- `_` 开头的方法 → 不扫描
- `@not_action` 标记的方法 → 排除
### 参数文档 → JSON Schema 元数据
`__init__` 和 action 方法 docstring 的 `Args:` 小节里,使用以下格式生成入参 schema 的显示信息:
```python
"""
Args:
param[显示名称]: 参数说明,会写入 JSON Schema 的 description。
"""
```
- `param[显示名称]` 的显示名称会写入 goal property 的 `title`
- `:` 后面的说明会写入 goal property 的 `description`
- 如果只写 `param: 参数说明``title` 会兜底为字段名,`description` 使用参数说明。
- 如果没有写参数文档,生成器也会兜底补齐 `title=<字段名>``description=""`,但新设备应优先写清楚显示名和说明。
### @topic_config — 状态属性配置
```python
@@ -121,27 +105,13 @@ import logging
from typing import Any, Dict, Optional
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
from unilabos.registry.decorators import action, device, not_action, topic_config
from unilabos.registry.decorators import device, action, topic_config, not_action
@device(
id="my_device",
category=["my_category"],
description="设备描述",
display_name="设备显示名",
)
@device(id="my_device", category=["my_category"], description="设备描述")
class MyDevice:
"""设备类说明。"""
_ros_node: BaseROS2DeviceNode
def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
"""
初始化设备。
Args:
device_id[设备ID]: 设备实例 ID默认使用 my_device。
config[设备配置]: 设备启动配置。
"""
self.device_id = device_id or "my_device"
self.config = config or {}
self.logger = logging.getLogger(f"MyDevice.{self.device_id}")
@@ -163,13 +133,7 @@ class MyDevice:
@action(description="执行操作")
def my_action(self, param: float = 0.0, name: str = "") -> Dict[str, Any]:
"""
带 @action 装饰器 → 注册为 'my_action' 动作。
Args:
param[操作数值]: 操作使用的数值参数。
name[操作名称]: 操作名称或备注。
"""
"""带 @action 装饰器 → 注册为 'my_action' 动作"""
return {"success": True}
def get_info(self) -> Dict[str, Any]:

View File

@@ -27,15 +27,14 @@ python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{
### 2. --addr → BASE URL
| `--addr` | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
| `--addr` 值 | BASE |
|-------------|------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
@@ -66,7 +65,7 @@ curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
```
记住 `data.uuid``lab_uuid`
@@ -91,7 +90,6 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
```
返回成功时包含试剂 UUID
```json
{"code": 0, "data": {"uuid": "xxx", ...}}
```
@@ -100,28 +98,28 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
## 试剂字段说明
| 字段 | 类型 | 必填 | 说明 | 示例 |
| ------------------- | ------ | ---- | ----------------------------- | ------------------------ |
| `lab_uuid` | string | 是 | 实验室 UUID从 API #1 获取) | `"8511c672-..."` |
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
| `production_date` | string | 否 | 生产日期ISO 8601 | `"2025-11-18T00:00:00Z"` |
| `expiry_date` | string | 否 | 过期日期ISO 8601 | `"2026-11-18T00:00:00Z"` |
| 字段 | 类型 | 必填 | 说明 | 示例 |
|------|------|------|------|------|
| `lab_uuid` | string | 是 | 实验室 UUID从 API #1 获取) | `"8511c672-..."` |
| `cas` | string | 是 | CAS 注册号 | `"7732-18-3"` |
| `name` | string | 是 | 试剂中文/英文名称 | `"水"` |
| `molecular_formula` | string | 是 | 分子式 | `"H2O"` |
| `smiles` | string | 是 | SMILES 表示 | `"O"` |
| `stock_in_quantity` | number | 是 | 入库数量 | `10` |
| `unit` | string | 是 | 单位(字符串,见下表) | `"mL"` |
| `supplier` | string | 否 | 供应商名称 | `"国药集团"` |
| `production_date` | string | 否 | 生产日期ISO 8601 | `"2025-11-18T00:00:00Z"` |
| `expiry_date` | string | 否 | 过期日期ISO 8601 | `"2026-11-18T00:00:00Z"` |
### unit 单位值
| 值 | 单位 |
| ------ | ---- |
| 值 | 单位 |
|------|------|
| `"mL"` | 毫升 |
| `"L"` | 升 |
| `"g"` | 克 |
| `"L"` | 升 |
| `"g"` | 克 |
| `"kg"` | 千克 |
| `"瓶"` | 瓶 |
| `"瓶"` | 瓶 |
> 根据试剂状态选择:液体用 `"mL"` / `"L"`,固体用 `"g"` / `"kg"`。
@@ -135,22 +133,8 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
```json
[
{
"cas": "7732-18-3",
"name": "水",
"molecular_formula": "H2O",
"smiles": "O",
"stock_in_quantity": 10,
"unit": "mL"
},
{
"cas": "64-17-5",
"name": "乙醇",
"molecular_formula": "C2H6O",
"smiles": "CCO",
"stock_in_quantity": 5,
"unit": "L"
}
{"cas": "7732-18-3", "name": "水", "molecular_formula": "H2O", "smiles": "O", "stock_in_quantity": 10, "unit": "mL"},
{"cas": "64-17-5", "name": "乙醇", "molecular_formula": "C2H6O", "smiles": "CCO", "stock_in_quantity": 5, "unit": "L"}
]
```
@@ -176,20 +160,9 @@ cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_dat
7732-18-3,水,H2O,O,10,mL,农夫山泉,2025-11-18T00:00:00Z,2026-11-18T00:00:00Z
```
### 日期格式规则(重要)
所有日期字段(`production_date``expiry_date`**必须**使用 ISO 8601 完整格式:`YYYY-MM-DDTHH:MM:SSZ`
- 用户输入 `2025-03-01` → 转换为 `"2025-03-01T00:00:00Z"`
- 用户输入 `2025/9/1` → 转换为 `"2025-09-01T00:00:00Z"`
- 用户未提供日期 → 使用当天日期 + `T00:00:00Z`,有效期默认 +1 年
**禁止**发送不带时间部分的日期字符串(如 `"2025-03-01"`API 会拒绝。
### 执行与汇报
每次 API 调用后:
1. 检查返回 `code`0 = 成功)
2. 记录成功/失败数量
3. 全部完成后汇总:「共录入 N 条试剂,成功 X 条,失败 Y 条」
@@ -199,29 +172,28 @@ cas,name,molecular_formula,smiles,stock_in_quantity,unit,supplier,production_dat
## 常见试剂速查表
| 名称 | CAS | 分子式 | SMILES |
| --------------------- | --------- | ---------- | ------------------------------------ |
| 水 | 7732-18-3 | H2O | O |
| 乙醇 | 64-17-5 | C2H6O | CCO |
| 乙酸 | 64-19-7 | C2H4O2 | CC(O)=O |
| 甲醇 | 67-56-1 | CH4O | CO |
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
| 乙腈 | 75-05-8 | C2H3N | CC#N |
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
| | 7647-01-0 | HCl | Cl |
| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
| 名称 | CAS | 分子式 | SMILES |
|------|-----|--------|--------|
| 水 | 7732-18-3 | H2O | O |
| 乙醇 | 64-17-5 | C2H6O | CCO |
| 甲醇 | 67-56-1 | CH4O | CO |
| 丙酮 | 67-64-1 | C3H6O | CC(C)=O |
| 二甲基亚砜(DMSO) | 67-68-5 | C2H6OS | CS(C)=O |
| 乙酸乙酯 | 141-78-6 | C4H8O2 | CCOC(C)=O |
| 二氯甲烷 | 75-09-2 | CH2Cl2 | ClCCl |
| 四氢呋喃(THF) | 109-99-9 | C4H8O | C1CCOC1 |
| N,N-二甲基甲酰胺(DMF) | 68-12-2 | C3H7NO | CN(C)C=O |
| 氯仿 | 67-66-3 | CHCl3 | ClC(Cl)Cl |
| 乙腈 | 75-05-8 | C2H3N | CC#N |
| 甲苯 | 108-88-3 | C7H8 | Cc1ccccc1 |
| 正己烷 | 110-54-3 | C6H14 | CCCCCC |
| 异丙醇 | 67-63-0 | C3H8O | CC(C)O |
| 盐酸 | 7647-01-0 | HCl | Cl |
| 酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
> 此表仅供快速参考。对于不在表中的试剂agent 应根据化学知识推断或提示用户补充。

View File

@@ -1,13 +1,11 @@
---
name: batch-submit-experiment
description: Batch submit experiments (notebooks) to the Uni-Lab cloud platform (leap-lab) — list workflows, generate node_params from registry schemas, submit multiple rounds, check notebook status. Use when the user wants to submit experiments, create notebooks, batch run workflows, check experiment status, or mentions 提交实验/批量实验/notebook/实验轮次/实验状态.
description: Batch submit experiments (notebooks) to Uni-Lab platform — list workflows, generate node_params from registry schemas, submit multiple rounds. Use when the user wants to submit experiments, create notebooks, batch run workflows, or mentions 提交实验/批量实验/notebook/实验轮次.
---
# Uni-Lab 批量提交实验指南
# 批量提交实验指南
通过 Uni-Lab 云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
通过云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
## 前置条件(缺一不可)
@@ -20,28 +18,25 @@ description: Batch submit experiments (notebooks) to the Uni-Lab cloud platform
生成 AUTH token任选一种方式
```bash
# 方式一Python 一行生成注意scheme 是 "Lab" 不是 "Basic"
# 方式一Python 一行生成
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
# 方式二:手动计算
# base64(ak:sk) → Authorization: Lab <token>
# ⚠️ 这里的 "Lab" 是 Uni-Lab 平台的 auth scheme绝对不能用 "Basic" 替代
```
### 2. --addr → BASE URL
| `--addr` | BASE |
| ------------ | ----------------------------------- |
| `test` | `https://leap-lab.test.bohrium.com` |
| `uat` | `https://leap-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://leap-lab.bohrium.com` |
| `--addr` 值 | BASE |
|-------------|------|
| `test` | `https://uni-lab.test.bohrium.com` |
| `uat` | `https://uni-lab.uat.bohrium.com` |
| `local` | `http://127.0.0.1:48197` |
| 不传(默认) | `https://uni-lab.bohrium.com` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
# ⚠️ Auth scheme 必须是 "Lab"Uni-Lab 专用),不是 "Basic"
AUTH="Authorization: Lab <上面命令输出的 token>"
```
@@ -49,23 +44,22 @@ AUTH="Authorization: Lab <上面命令输出的 token>"
**批量提交实验时需要本地注册表来解析 workflow 节点的参数 schema。**
**必须先用 Glob 工具搜索文件**,不要直接猜测路径
按优先级搜索
```
Glob: **/req_device_registry_upload.json
<workspace 根目录>/unilabos_data/req_device_registry_upload.json
<workspace 根目录>/req_device_registry_upload.json
```
常见位置(仅供参考,以 Glob 实际结果为准):
- `<workspace>/unilabos_data/req_device_registry_upload.json`
- `<workspace>/req_device_registry_upload.json`
也可直接 Glob 搜索:`**/req_device_registry_upload.json`
找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`
**如果 Glob 搜索无结果** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
**如果文件不存在** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
### 4. workflow_uuid目标工作流
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #3 列出可用 workflow 供选择。
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #2 列出可用 workflow 供选择。
**四项全部就绪后才可开始。**
@@ -74,9 +68,8 @@ Glob: **/req_device_registry_upload.json
在整个对话过程中agent 需要记住以下状态,避免重复询问用户:
- `lab_uuid` — 实验室 UUID首次通过 API #1 自动获取,**不需要问用户**
- `project_uuid` — 项目 UUID通过 API #2 列出项目列表,**让用户选择**
- `workflow_uuid` — 工作流 UUID用户提供或从列表选择
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #4 获取)
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #3 获取)
## 请求约定
@@ -99,46 +92,12 @@ curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
返回:
```json
{ "code": 0, "data": { "uuid": "xxx", "name": "实验室名称" } }
{"code": 0, "data": {"uuid": "xxx", "name": "实验室名称"}}
```
记住 `data.uuid``lab_uuid`
### 2. 列出实验室项目(让用户选择项目)
```bash
curl -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
```
返回:
```json
{
"code": 0,
"data": {
"items": [
{
"uuid": "1b3f249a-...",
"name": "bt",
"description": null,
"status": "active",
"created_at": "2026-04-09T14:31:28+08:00"
},
{
"uuid": "b6366243-...",
"name": "default",
"description": "默认项目",
"status": "active",
"created_at": "2026-03-26T11:13:36+08:00"
}
]
}
}
```
展示 `data.items[]` 中每个项目的 `name``uuid`,让用户选择。用户**必须**选择一个项目,记住 `project_uuid`(即选中项目的 `uuid`),后续创建 notebook 时需要提供。
### 3. 列出可用 workflow
### 2. 列出可用 workflow
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
@@ -146,14 +105,13 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid
返回 workflow 列表,展示给用户选择。列出每个 workflow 的 `uuid``name`
### 4. 获取 workflow 模板详情
### 3. 获取 workflow 模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
返回 workflow 的完整结构,包含所有 action 节点信息。需要从响应中提取:
- 每个 action 节点的 `node_uuid`
- 每个节点对应的设备 ID`resource_template_name`
- 每个节点的动作名(`node_template_name`
@@ -161,7 +119,7 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$A
> **注意**:此 API 返回格式可能因版本不同而有差异。首次调用时,先打印完整响应分析结构,再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
### 5. 提交实验(创建 notebook
### 4. 提交实验(创建 notebook
```bash
curl -s -X POST "$BASE/api/v1/lab/notebook" \
@@ -173,45 +131,34 @@ curl -s -X POST "$BASE/api/v1/lab/notebook" \
```json
{
"lab_uuid": "<lab_uuid>",
"project_uuid": "<project_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
"lab_uuid": "<lab_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
}
]
}
]
]
}
```
> **注意**`sample_uuids` 必须是 **UUID 数组**`[]uuid.UUID`),不是字符串。无样品时传空数组 `[]`。
### 6. 查询 notebook 状态
提交成功后,使用返回的 notebook UUID 查询执行状态:
```bash
curl -s -X GET "$BASE/api/v1/lab/notebook/status?uuid=$notebook_uuid" -H "$AUTH"
```
提交后应**立即查询一次**状态,确认 notebook 已被正确接收并开始调度。
---
## Notebook 请求体详解
@@ -225,25 +172,25 @@ curl -s -X GET "$BASE/api/v1/lab/notebook/status?uuid=$notebook_uuid" -H "$AUTH"
### 每轮的字段
| 字段 | 类型 | 说明 |
| -------------- | ------------- | ----------------------------------------- |
| 字段 | 类型 | 说明 |
|------|------|------|
| `sample_uuids` | array\<uuid\> | 该轮实验的样品 UUID 数组,无样品时传 `[]` |
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
| `datas` | array | 该轮中每个 workflow 节点的参数配置 |
### datas 中每个节点
| 字段 | 类型 | 说明 |
| --------------- | ------ | -------------------------------------------- |
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #4 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
| 字段 | 类型 | 说明 |
|------|------|------|
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #3 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
### sample_params 中每条
| 字段 | 类型 | 说明 |
| ---------------- | ------ | ---------------------------------------------------- |
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
| 字段 | 类型 | 说明 |
|------|------|------|
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
---
@@ -264,7 +211,6 @@ python scripts/gen_notebook_params.py \
> 脚本位于本文档同级目录下的 `scripts/gen_notebook_params.py`。
脚本会:
1. 调用 workflow detail API 获取所有 action 节点
2. 读取本地注册表,为每个节点查找对应的 action schema
3. 生成 `notebook_template.json`,包含:
@@ -276,7 +222,7 @@ python scripts/gen_notebook_params.py \
如果脚本不可用或注册表不存在:
1. 调用 API #4 获取 workflow 详情
1. 调用 API #3 获取 workflow 详情
2. 找到每个 action 节点的 `node_uuid`
3. 在本地注册表中查找对应设备的 `action_value_mappings`
```
@@ -302,11 +248,8 @@ python scripts/gen_notebook_params.py \
"properties": {
"goal": {
"properties": {
"asp_vols": {
"type": "array",
"items": { "type": "number" }
},
"sources": { "type": "array" }
"asp_vols": {"type": "array", "items": {"type": "number"}},
"sources": {"type": "array"}
},
"required": ["asp_vols", "sources"]
}
@@ -332,15 +275,13 @@ Task Progress:
- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
- [ ] Step 2: 确认 --addr → 设置 BASE URL
- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid
- [ ] Step 4: GET /lab/project/list → 列出项目,让用户选择 → 获取 project_uuid
- [ ] Step 5: 确认 workflow_uuid用户提供或从 GET #3 列表选择)
- [ ] Step 6: GET workflow detail (#4) → 提取各节点 uuid、设备ID、动作名
- [ ] Step 7: 定位本地注册表 req_device_registry_upload.json
- [ ] Step 8: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
- [ ] Step 9: 引导用户填写每轮的参数sample_uuids、param、sample_params
- [ ] Step 10: 构建完整请求体(含 project_uuid→ POST /lab/notebook 提交
- [ ] Step 11: 检查返回结果,记录 notebook UUID
- [ ] Step 12: GET /lab/notebook/status → 查询 notebook 状态,确认已调度
- [ ] Step 4: 确认 workflow_uuid用户提供或从 GET #2 列表选择)
- [ ] Step 5: GET workflow detail (#3) → 提取各节点 uuid、设备ID、动作名
- [ ] Step 6: 定位本地注册表 req_device_registry_upload.json
- [ ] Step 7: 运行 gen_notebook_params.py 或手动匹配 → 生成 node_params 模板
- [ ] Step 8: 引导用户填写每轮的参数sample_uuids、param、sample_params
- [ ] Step 9: 构建完整请求体 → POST /lab/notebook 提交
- [ ] Step 10: 检查返回结果,确认提交成功
```
---

View File

@@ -7,7 +7,7 @@
选项:
--auth <token> Lab tokenbase64(ak:sk) 的结果,不含 "Lab " 前缀)
--base <url> API 基础 URL如 https://leap-lab.test.bohrium.com
--base <url> API 基础 URL如 https://uni-lab.test.bohrium.com
--workflow-uuid <uuid> 目标 workflow 的 UUID
--registry <path> 本地注册表文件路径(默认自动搜索)
--rounds <n> 实验轮次数(默认 1
@@ -17,7 +17,7 @@
示例:
python gen_notebook_params.py \\
--auth YTFmZDlkNGUtxxxx \\
--base https://leap-lab.test.bohrium.com \\
--base https://uni-lab.test.bohrium.com \\
--workflow-uuid abc-123-def \\
--rounds 2
"""
@@ -265,7 +265,6 @@ def generate_template(nodes, registry_index, rounds):
return {
"lab_uuid": "$TODO_LAB_UUID",
"project_uuid": "$TODO_PROJECT_UUID",
"workflow_uuid": "$TODO_WORKFLOW_UUID",
"name": "$TODO_EXPERIMENT_NAME",
"node_params": node_params,

View File

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

View File

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

View File

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

View File

@@ -1,26 +0,0 @@
.conda
# .github
.idea
# .vscode
output
pylabrobot_repo
recipes
scripts
service
temp
# unilabos/test
# unilabos/app/web
unilabos/device_mesh
unilabos_data
unilabos_msgs
unilabos.egg-info
CONTRIBUTORS
# LICENSE
MANIFEST.in
pyrightconfig.json
# README.md
# README_zh.md
setup.py
setup.cfg
.gitattrubutes
**/__pycache__

19
.github/dependabot.yml vendored Normal file
View File

@@ -0,0 +1,19 @@
version: 2
updates:
# GitHub Actions
- package-ecosystem: "github-actions"
directory: "/"
target-branch: "dev"
schedule:
interval: "weekly"
day: "monday"
time: "06:00"
open-pull-requests-limit: 5
reviewers:
- "msgcenterpy-team"
labels:
- "dependencies"
- "github-actions"
commit-message:
prefix: "ci"
include: "scope"

View File

@@ -38,7 +38,7 @@ jobs:
- name: Install ROS dependencies, uv and unilabos-msgs
run: |
echo Installing ROS dependencies...
mamba install -n check-env --override-channels -c robostack-staging -c conda-forge -c uni-lab conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -y
mamba install -n check-env conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -c robostack-staging -c conda-forge -c uni-lab -y
- name: Install pip dependencies and unilabos
run: |

View File

@@ -1,10 +1,6 @@
name: Build Conda-Pack Environment
on:
# 在 UniLabOS Conda Build 成功上传后自动构建非全量 conda-pack
workflow_run:
workflows: ["UniLabOS Conda Build"]
types: [completed]
workflow_dispatch:
inputs:
branch:
@@ -25,16 +21,6 @@ on:
jobs:
build-conda-pack:
if: |
github.event_name == 'workflow_dispatch' ||
(
github.event_name == 'workflow_run' &&
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.event == 'workflow_run'
)
env:
BUILD_FULL: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}
PACKAGE_REF: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref_name }}
strategy:
fail-fast: false
matrix:
@@ -68,9 +54,7 @@ jobs:
id: should_build
shell: bash
run: |
if [[ "${{ github.event_name }}" != "workflow_dispatch" ]]; then
echo "should_build=true" >> $GITHUB_OUTPUT
elif [[ -z "${{ github.event.inputs.platforms }}" ]]; then
if [[ -z "${{ github.event.inputs.platforms }}" ]]; then
echo "should_build=true" >> $GITHUB_OUTPUT
elif [[ "${{ github.event.inputs.platforms }}" == *"${{ matrix.platform }}"* ]]; then
echo "should_build=true" >> $GITHUB_OUTPUT
@@ -81,7 +65,7 @@ jobs:
- uses: actions/checkout@v6
if: steps.should_build.outputs.should_build == 'true'
with:
ref: ${{ github.event.inputs.branch || github.event.workflow_run.head_sha || github.ref }}
ref: ${{ github.event.inputs.branch }}
fetch-depth: 0
- name: Setup Miniforge (with mamba)
@@ -91,7 +75,7 @@ jobs:
miniforge-version: latest
use-mamba: true
python-version: '3.11.14'
channels: conda-forge,robostack-staging,uni-lab
channels: conda-forge,robostack-staging,uni-lab,defaults
channel-priority: flexible
activate-environment: unilab
auto-update-conda: false
@@ -102,13 +86,13 @@ jobs:
run: |
echo Installing unilabos and dependencies to unilab environment...
echo Using mamba for faster and more reliable dependency resolution...
echo Build full: ${{ env.BUILD_FULL }}
if "${{ env.BUILD_FULL }}"=="true" (
echo Build full: ${{ github.event.inputs.build_full }}
if "${{ github.event.inputs.build_full }}"=="true" (
echo Installing unilabos-full ^(complete package^)...
mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
) else (
echo Installing unilabos ^(minimal package^)...
mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
)
- name: Install conda-pack, unilabos and dependencies (Unix)
@@ -117,13 +101,13 @@ jobs:
run: |
echo "Installing unilabos and dependencies to unilab environment..."
echo "Using mamba for faster and more reliable dependency resolution..."
echo "Build full: ${{ env.BUILD_FULL }}"
if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
echo "Build full: ${{ github.event.inputs.build_full }}"
if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
echo "Installing unilabos-full (complete package)..."
mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos-full conda-pack zstandard -y
mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
else
echo "Installing unilabos (minimal package)..."
mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos conda-pack zstandard -y
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
fi
- name: Get latest ros-humble-unilabos-msgs version (Windows)
@@ -150,27 +134,27 @@ jobs:
if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
run: |
echo Checking for available ros-humble-unilabos-msgs versions...
mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo Search completed
mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo Search completed
echo.
echo Updating ros-humble-unilabos-msgs to latest version...
mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo Already at latest version
mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo Already at latest version
- name: Check for newer ros-humble-unilabos-msgs (Unix)
if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
shell: bash
run: |
echo "Checking for available ros-humble-unilabos-msgs versions..."
mamba search --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs || echo "Search completed"
mamba search ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge || echo "Search completed"
echo ""
echo "Updating ros-humble-unilabos-msgs to latest version..."
mamba update -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge ros-humble-unilabos-msgs -y || echo "Already at latest version"
mamba update -n unilab ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-forge -y || echo "Already at latest version"
- name: Install latest unilabos from source (Windows)
if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
run: |
echo Uninstalling existing unilabos...
mamba run -n unilab pip uninstall unilabos -y || echo unilabos not installed via pip
echo Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})...
echo Installing unilabos from source (branch: ${{ github.event.inputs.branch }})...
mamba run -n unilab pip install .
echo Verifying installation...
mamba run -n unilab pip show unilabos
@@ -181,7 +165,7 @@ jobs:
run: |
echo "Uninstalling existing unilabos..."
mamba run -n unilab pip uninstall unilabos -y || echo "unilabos not installed via pip"
echo "Installing unilabos from source (ref: ${{ env.PACKAGE_REF }})..."
echo "Installing unilabos from source (branch: ${{ github.event.inputs.branch }})..."
mamba run -n unilab pip install .
echo "Verifying installation..."
mamba run -n unilab pip show unilabos
@@ -242,9 +226,7 @@ jobs:
if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
run: |
echo Packing unilab environment with conda-pack...
for /f "delims=" %%i in ('mamba run -n unilab python -c "import os; print(os.environ['CONDA_PREFIX'])"') do set "UNILAB_PREFIX=%%i"
echo Packing environment at: %UNILAB_PREFIX%
mamba run -n unilab conda-pack -p "%UNILAB_PREFIX%" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
mamba activate unilab && conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
echo Pack file created:
dir unilab-env-${{ matrix.platform }}.tar.gz
@@ -253,9 +235,8 @@ jobs:
shell: bash
run: |
echo "Packing unilab environment with conda-pack..."
UNILAB_PREFIX="$(mamba run -n unilab python -c 'import os; print(os.environ["CONDA_PREFIX"])')"
echo "Packing environment at: $UNILAB_PREFIX"
mamba run -n unilab conda-pack -p "$UNILAB_PREFIX" -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
mamba install conda-pack -c conda-forge -y
conda pack -n unilab -o unilab-env-${{ matrix.platform }}.tar.gz --ignore-missing-files
echo "Pack file created:"
ls -lh unilab-env-${{ matrix.platform }}.tar.gz
@@ -286,7 +267,7 @@ jobs:
rem Create README using Python script
echo Creating: README.txt
python scripts\create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package\README.txt
python scripts\create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package\README.txt
echo.
echo Distribution package contents:
@@ -322,7 +303,7 @@ jobs:
# Create README using Python script
echo "Creating: README.txt"
python scripts/create_readme.py ${{ matrix.platform }} ${{ env.PACKAGE_REF }} dist-package/README.txt
python scripts/create_readme.py ${{ matrix.platform }} ${{ github.event.inputs.branch }} dist-package/README.txt
echo ""
echo "Distribution package contents:"
@@ -333,7 +314,7 @@ jobs:
if: steps.should_build.outputs.should_build == 'true'
uses: actions/upload-artifact@v6
with:
name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
path: dist-package/
retention-days: 90
if-no-files-found: error
@@ -345,9 +326,9 @@ jobs:
echo Build Summary
echo ==========================================
echo Platform: ${{ matrix.platform }}
echo Branch: ${{ env.PACKAGE_REF }}
echo Branch: ${{ github.event.inputs.branch }}
echo Python version: 3.11.14
if "${{ env.BUILD_FULL }}"=="true" (
if "${{ github.event.inputs.build_full }}"=="true" (
echo Package: unilabos-full ^(complete^)
) else (
echo Package: unilabos ^(minimal^)
@@ -356,7 +337,7 @@ jobs:
echo Distribution package contents:
dir dist-package
echo.
echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}
echo Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
echo.
echo After download, extract the ZIP and run:
echo install_unilab.bat
@@ -370,9 +351,9 @@ jobs:
echo "Build Summary"
echo "=========================================="
echo "Platform: ${{ matrix.platform }}"
echo "Branch: ${{ env.PACKAGE_REF }}"
echo "Branch: ${{ github.event.inputs.branch }}"
echo "Python version: 3.11.14"
if [[ "${{ env.BUILD_FULL }}" == "true" ]]; then
if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
echo "Package: unilabos-full (complete)"
else
echo "Package: unilabos (minimal)"
@@ -381,7 +362,7 @@ jobs:
echo "Distribution package contents:"
ls -lh dist-package/
echo ""
echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ env.PACKAGE_REF }}"
echo "Artifact name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}"
echo ""
echo "After download:"
echo " install_unilab.sh"

View File

@@ -56,7 +56,7 @@ jobs:
miniforge-version: latest
use-mamba: true
python-version: '3.11.14'
channels: conda-forge,robostack-staging,uni-lab
channels: conda-forge,robostack-staging,uni-lab,defaults
channel-priority: flexible
activate-environment: unilab
auto-update-conda: false
@@ -66,7 +66,7 @@ jobs:
run: |
echo "Installing unilabos and dependencies to unilab environment..."
echo "Using mamba for faster and more reliable dependency resolution..."
mamba install -n unilab --override-channels -c uni-lab -c robostack-staging -c conda-forge uni-lab::unilabos -y
mamba install -n unilab uni-lab::unilabos -c uni-lab -c robostack-staging -c conda-forge -y
- name: Install latest unilabos from source
run: |

View File

@@ -10,9 +10,6 @@ on:
# 支持 tag 推送(不依赖 CI Check
push:
tags: ['v*']
# GitHub Release 发布时自动构建并上传
release:
types: [published]
# 手动触发
workflow_dispatch:
inputs:
@@ -83,7 +80,7 @@ jobs:
- uses: actions/checkout@v6
with:
# 如果是 workflow_run 触发,使用触发 CI Check 的 commit
ref: ${{ github.event.workflow_run.head_sha || github.event.release.tag_name || github.ref }}
ref: ${{ github.event.workflow_run.head_sha || github.ref }}
fetch-depth: 0
- name: Check if platform should be built
@@ -99,13 +96,12 @@ jobs:
echo "should_build=false" >> $GITHUB_OUTPUT
fi
- name: Setup Miniforge
- name: Setup Miniconda
if: steps.should_build.outputs.should_build == 'true'
uses: conda-incubator/setup-miniconda@v3
with:
miniforge-version: latest
use-mamba: true
channels: conda-forge,robostack-staging
miniconda-version: 'latest'
channels: conda-forge,robostack-staging,defaults
channel-priority: strict
activate-environment: build-env
auto-update-conda: false
@@ -114,7 +110,7 @@ jobs:
- name: Install rattler-build and anaconda-client
if: steps.should_build.outputs.should_build == 'true'
run: |
mamba install --override-channels -c conda-forge rattler-build anaconda-client -y
conda install -c conda-forge rattler-build anaconda-client
- name: Show environment info
if: steps.should_build.outputs.should_build == 'true'
@@ -161,13 +157,7 @@ jobs:
retention-days: 30
- name: Upload to Anaconda.org (unilab organization)
if: |
steps.should_build.outputs.should_build == 'true' &&
(
github.event_name == 'release' ||
startsWith(github.ref, 'refs/tags/') ||
github.event.inputs.upload_to_anaconda == 'true'
)
if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
run: |
for package in $(find ./output -name "*.conda"); do
echo "Uploading $package to unilab organization..."

View File

@@ -1,10 +1,14 @@
name: UniLabOS Conda Build
on:
# 在 Multi-Platform Conda Build 成功上传 msgs 后自动触发
# 在 CI Check 成功后自动触发
workflow_run:
workflows: ["Multi-Platform Conda Build"]
workflows: ["CI Check"]
types: [completed]
branches: [main, dev]
# 标签推送时直接触发(发布版本)
push:
tags: ['v*']
# 手动触发
workflow_dispatch:
inputs:
@@ -29,30 +33,30 @@ on:
type: boolean
jobs:
# 等待上游 msgs 构建完成的 job (仅用于 workflow_run 触发)
wait-for-upstream:
# 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
wait-for-ci:
runs-on: ubuntu-latest
if: github.event_name == 'workflow_run'
outputs:
should_continue: ${{ steps.check.outputs.should_continue }}
steps:
- name: Check upstream workflow status
- name: Check CI status
id: check
run: |
if [[ "${{ github.event.workflow_run.conclusion }}" == "success" && ( "${{ github.event.workflow_run.event }}" == "release" || "${{ github.event.workflow_run.event }}" == "push" ) ]]; then
if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
echo "should_continue=true" >> $GITHUB_OUTPUT
echo "Multi-Platform Conda Build passed for release/tag, proceeding with UniLabOS build"
echo "CI Check passed, proceeding with build"
else
echo "should_continue=false" >> $GITHUB_OUTPUT
echo "Upstream workflow is not a successful release/tag build (status: ${{ github.event.workflow_run.conclusion }}, event: ${{ github.event.workflow_run.event }}), skipping build"
echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
fi
build:
needs: [wait-for-upstream]
# 运行条件workflow_run 触发且上游成功,或者手动触发
needs: [wait-for-ci]
# 运行条件workflow_run 触发且 CI 成功,或者其他触发方式
if: |
always() &&
(needs.wait-for-upstream.result == 'skipped' || needs.wait-for-upstream.outputs.should_continue == 'true')
(needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
strategy:
fail-fast: false
matrix:
@@ -75,7 +79,7 @@ jobs:
steps:
- uses: actions/checkout@v6
with:
# 如果是 workflow_run 触发,使用上游 conda 包构建的 commit
# 如果是 workflow_run 触发,使用触发 CI Check 的 commit
ref: ${{ github.event.workflow_run.head_sha || github.ref }}
fetch-depth: 0
@@ -92,13 +96,12 @@ jobs:
echo "should_build=false" >> $GITHUB_OUTPUT
fi
- name: Setup Miniforge
- name: Setup Miniconda
if: steps.should_build.outputs.should_build == 'true'
uses: conda-incubator/setup-miniconda@v3
with:
miniforge-version: latest
use-mamba: true
channels: conda-forge,robostack-staging,uni-lab
miniconda-version: 'latest'
channels: conda-forge,robostack-staging,uni-lab,defaults
channel-priority: strict
activate-environment: build-env
auto-update-conda: false
@@ -107,7 +110,7 @@ jobs:
- name: Install rattler-build and anaconda-client
if: steps.should_build.outputs.should_build == 'true'
run: |
mamba install --override-channels -c conda-forge rattler-build anaconda-client -y
conda install -c conda-forge rattler-build anaconda-client
- name: Show environment info
if: steps.should_build.outputs.should_build == 'true'
@@ -116,11 +119,11 @@ jobs:
conda list | grep -E "(rattler-build|anaconda-client)"
echo "Platform: ${{ matrix.platform }}"
echo "OS: ${{ matrix.os }}"
echo "Build full package: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}"
echo "Build full package: ${{ github.event.inputs.build_full || 'false' }}"
echo "Building packages:"
echo " - unilabos-env (environment dependencies)"
echo " - unilabos (with pip package)"
if [[ "${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}" == "true" ]]; then
if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
echo " - unilabos-full (complete package)"
fi
@@ -131,12 +134,7 @@ jobs:
rattler-build build -r .conda/environment/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
- name: Upload unilabos-env to Anaconda.org (if enabled)
if: |
steps.should_build.outputs.should_build == 'true' &&
(
github.event_name == 'workflow_run' ||
github.event.inputs.upload_to_anaconda == 'true'
)
if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
run: |
echo "Uploading unilabos-env to uni-lab organization..."
for package in $(find ./output -name "unilabos-env*.conda"); do
@@ -151,12 +149,7 @@ jobs:
rattler-build build -r .conda/base/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
- name: Upload unilabos to Anaconda.org (if enabled)
if: |
steps.should_build.outputs.should_build == 'true' &&
(
github.event_name == 'workflow_run' ||
github.event.inputs.upload_to_anaconda == 'true'
)
if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
run: |
echo "Uploading unilabos to uni-lab organization..."
for package in $(find ./output -name "unilabos-0*.conda" -o -name "unilabos-[0-9]*.conda"); do
@@ -166,7 +159,6 @@ jobs:
- name: Build unilabos-full - Only when explicitly requested
if: |
steps.should_build.outputs.should_build == 'true' &&
github.event_name == 'workflow_dispatch' &&
github.event.inputs.build_full == 'true'
run: |
echo "Building unilabos-full package on ${{ matrix.platform }}..."
@@ -175,7 +167,6 @@ jobs:
- name: Upload unilabos-full to Anaconda.org (if enabled)
if: |
steps.should_build.outputs.should_build == 'true' &&
github.event_name == 'workflow_dispatch' &&
github.event.inputs.build_full == 'true' &&
github.event.inputs.upload_to_anaconda == 'true'
run: |

2
.gitignore vendored
View File

@@ -252,5 +252,3 @@ ros-humble-unilabos-msgs-0.9.13-h6403a04_5.tar.bz2
test_config.py
/.claude
/.cursor

View File

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

View File

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

File diff suppressed because it is too large Load Diff

View File

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

View File

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

View File

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

View File

@@ -1,5 +1,5 @@
channel_sources:
- robostack,robostack-staging,conda-forge
- robostack,robostack-staging,conda-forge,defaults
gazebo:
- '11'

View File

@@ -1,6 +1,6 @@
package:
name: ros-humble-unilabos-msgs
version: 0.11.1
version: 0.10.19
source:
path: ../../unilabos_msgs
target_directory: src

View File

@@ -1,6 +1,6 @@
package:
name: unilabos
version: "0.11.1"
version: "0.10.19"
source:
path: ../..

View File

@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup(
name=package_name,
version='0.11.1',
version='0.10.19',
packages=find_packages(),
include_package_data=True,
install_requires=['setuptools'],

View File

@@ -1,539 +0,0 @@
import pytest
import json
import os
import asyncio
import collections
from typing import List, Dict, Any
from pylabrobot.resources import Coordinate
from pylabrobot.resources.opentrons.tip_racks import opentrons_96_tiprack_300ul, opentrons_96_tiprack_10ul
from pylabrobot.resources.opentrons.plates import corning_96_wellplate_360ul_flat, nest_96_wellplate_2ml_deep
from unilabos.devices.liquid_handling.prcxi.prcxi import (
PRCXI9300Deck,
PRCXI9300Container,
PRCXI9300Trash,
PRCXI9300Handler,
PRCXI9300Backend,
DefaultLayout,
Material,
WorkTablets,
MatrixInfo
)
@pytest.fixture
def prcxi_materials() -> Dict[str, Any]:
"""加载 PRCXI 物料数据"""
print("加载 PRCXI 物料数据...")
material_path = os.path.join(os.path.dirname(__file__), "..", "..", "unilabos", "devices", "liquid_handling", "prcxi", "prcxi_material.json")
with open(material_path, "r", encoding="utf-8") as f:
data = json.load(f)
print(f"加载了 {len(data)} 条物料数据")
return data
@pytest.fixture
def prcxi_9300_deck() -> PRCXI9300Deck:
"""创建 PRCXI 9300 工作台"""
return PRCXI9300Deck(name="PRCXI_Deck_9300", size_x=100, size_y=100, size_z=100, model="9300")
@pytest.fixture
def prcxi_9320_deck() -> PRCXI9300Deck:
"""创建 PRCXI 9320 工作台"""
return PRCXI9300Deck(name="PRCXI_Deck_9320", size_x=100, size_y=100, size_z=100, model="9320")
@pytest.fixture
def prcxi_9300_handler(prcxi_9300_deck) -> PRCXI9300Handler:
"""创建 PRCXI 9300 处理器(模拟模式)"""
return PRCXI9300Handler(
deck=prcxi_9300_deck,
host="192.168.1.201",
port=9999,
timeout=10.0,
channel_num=8,
axis="Left",
setup=False,
debug=True,
simulator=True,
matrix_id="test-matrix-9300"
)
@pytest.fixture
def prcxi_9320_handler(prcxi_9320_deck) -> PRCXI9300Handler:
"""创建 PRCXI 9320 处理器(模拟模式)"""
return PRCXI9300Handler(
deck=prcxi_9320_deck,
host="192.168.1.201",
port=9999,
timeout=10.0,
channel_num=1,
axis="Right",
setup=False,
debug=True,
simulator=True,
matrix_id="test-matrix-9320",
is_9320=True
)
@pytest.fixture
def tip_rack_300ul(prcxi_materials) -> PRCXI9300Container:
"""创建 300μL 枪头盒"""
tip_rack = PRCXI9300Container(
name="tip_rack_300ul",
size_x=50,
size_y=50,
size_z=10,
category="tip_rack",
ordering=collections.OrderedDict()
)
tip_rack.load_state({
"Material": {
"uuid": prcxi_materials["300μL Tip头"]["uuid"],
"Code": "ZX-001-300",
"Name": "300μL Tip头"
}
})
return tip_rack
@pytest.fixture
def tip_rack_10ul(prcxi_materials) -> PRCXI9300Container:
"""创建 10μL 枪头盒"""
tip_rack = PRCXI9300Container(
name="tip_rack_10ul",
size_x=50,
size_y=50,
size_z=10,
category="tip_rack",
ordering=collections.OrderedDict()
)
tip_rack.load_state({
"Material": {
"uuid": prcxi_materials["10μL加长 Tip头"]["uuid"],
"Code": "ZX-001-10+",
"Name": "10μL加长 Tip头"
}
})
return tip_rack
@pytest.fixture
def well_plate_96(prcxi_materials) -> PRCXI9300Container:
"""创建 96 孔板"""
plate = PRCXI9300Container(
name="well_plate_96",
size_x=50,
size_y=50,
size_z=10,
category="plate",
ordering=collections.OrderedDict()
)
plate.load_state({
"Material": {
"uuid": prcxi_materials["96深孔板"]["uuid"],
"Code": "ZX-019-2.2",
"Name": "96深孔板"
}
})
return plate
@pytest.fixture
def deep_well_plate(prcxi_materials) -> PRCXI9300Container:
"""创建深孔板"""
plate = PRCXI9300Container(
name="deep_well_plate",
size_x=50,
size_y=50,
size_z=10,
category="plate",
ordering=collections.OrderedDict()
)
plate.load_state({
"Material": {
"uuid": prcxi_materials["96深孔板"]["uuid"],
"Code": "ZX-019-2.2",
"Name": "96深孔板"
}
})
return plate
@pytest.fixture
def trash_container(prcxi_materials) -> PRCXI9300Trash:
"""创建垃圾桶"""
trash = PRCXI9300Trash(name="trash", size_x=50, size_y=50, size_z=10, category="trash")
trash.load_state({
"Material": {
"uuid": prcxi_materials["废弃槽"]["uuid"]
}
})
return trash
@pytest.fixture
def default_layout_9300() -> DefaultLayout:
"""创建 PRCXI 9300 默认布局"""
return DefaultLayout("PRCXI9300")
@pytest.fixture
def default_layout_9320() -> DefaultLayout:
"""创建 PRCXI 9320 默认布局"""
return DefaultLayout("PRCXI9320")
class TestPRCXIDeckSetup:
"""测试 PRCXI 工作台设置功能"""
def test_prcxi_9300_deck_creation(self, prcxi_9300_deck):
"""测试 PRCXI 9300 工作台创建"""
assert prcxi_9300_deck.name == "PRCXI_Deck_9300"
assert len(prcxi_9300_deck.sites) == 6
assert prcxi_9300_deck._size_x == 100
assert prcxi_9300_deck._size_y == 100
assert prcxi_9300_deck._size_z == 100
def test_prcxi_9320_deck_creation(self, prcxi_9320_deck):
"""测试 PRCXI 9320 工作台创建"""
assert prcxi_9320_deck.name == "PRCXI_Deck_9320"
assert len(prcxi_9320_deck.sites) == 16
assert prcxi_9320_deck._size_x == 100
assert prcxi_9320_deck._size_y == 100
assert prcxi_9320_deck._size_z == 100
def test_container_assignment(self, prcxi_9300_deck, tip_rack_300ul, well_plate_96, trash_container):
"""测试容器分配到工作台"""
# 分配枪头盒
prcxi_9300_deck.assign_child_resource(tip_rack_300ul, location=Coordinate(0, 0, 0))
assert tip_rack_300ul in prcxi_9300_deck.children
# 分配孔板
prcxi_9300_deck.assign_child_resource(well_plate_96, location=Coordinate(0, 0, 0))
assert well_plate_96 in prcxi_9300_deck.children
# 分配垃圾桶
prcxi_9300_deck.assign_child_resource(trash_container, location=Coordinate(0, 0, 0))
assert trash_container in prcxi_9300_deck.children
def test_container_material_loading(self, tip_rack_300ul, well_plate_96, prcxi_materials):
"""测试容器物料信息加载"""
# 测试枪头盒物料信息
tip_material = tip_rack_300ul._unilabos_state["Material"]
assert tip_material["uuid"] == prcxi_materials["300μL Tip头"]["uuid"]
assert tip_material["Name"] == "300μL Tip头"
# 测试孔板物料信息
plate_material = well_plate_96._unilabos_state["Material"]
assert plate_material["uuid"] == prcxi_materials["96深孔板"]["uuid"]
assert plate_material["Name"] == "96深孔板"
class TestPRCXISingleStepOperations:
"""测试 PRCXI 单步操作功能"""
@pytest.mark.asyncio
async def test_pick_up_tips_single_channel(self, prcxi_9320_handler, prcxi_9320_deck, tip_rack_10ul):
"""测试单通道拾取枪头"""
# 将枪头盒添加到工作台
prcxi_9320_deck.assign_child_resource(tip_rack_10ul, location=Coordinate(0, 0, 0))
# 初始化处理器
await prcxi_9320_handler.setup()
# 设置枪头盒
prcxi_9320_handler.set_tiprack([tip_rack_10ul])
# 创建模拟的枪头位置
from pylabrobot.resources import TipSpot, Tip
tip = Tip(has_filter=False, total_tip_length=10, maximal_volume=10, fitting_depth=5)
tip_spot = TipSpot("A1", size_x=1, size_y=1, size_z=1, make_tip=lambda: tip)
tip_rack_10ul.assign_child_resource(tip_spot, location=Coordinate(0, 0, 0))
# 直接测试后端方法
from pylabrobot.liquid_handling import Pickup
pickup = Pickup(resource=tip_spot, offset=None, tip=tip)
await prcxi_9320_handler._unilabos_backend.pick_up_tips([pickup], [0])
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "Load"
@pytest.mark.asyncio
async def test_pick_up_tips_multi_channel(self, prcxi_9300_handler, tip_rack_300ul):
"""测试多通道拾取枪头"""
# 设置枪头盒
prcxi_9300_handler.set_tiprack([tip_rack_300ul])
# 拾取8个枪头
tip_spots = tip_rack_300ul.children[:8]
await prcxi_9300_handler.pick_up_tips(tip_spots, [0, 1, 2, 3, 4, 5, 6, 7])
# 验证步骤已添加到待办列表
assert len(prcxi_9300_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9300_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "Load"
@pytest.mark.asyncio
async def test_aspirate_single_channel(self, prcxi_9320_handler, well_plate_96):
"""测试单通道吸取液体"""
# 设置液体
well = well_plate_96.get_item("A1")
prcxi_9320_handler.set_liquid([well], ["water"], [50])
# 吸取液体
await prcxi_9320_handler.aspirate([well], [50], [0])
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "Imbibing"
assert step["DosageNum"] == 50
@pytest.mark.asyncio
async def test_dispense_single_channel(self, prcxi_9320_handler, well_plate_96):
"""测试单通道分配液体"""
# 分配液体
well = well_plate_96.get_item("A1")
await prcxi_9320_handler.dispense([well], [25], [0])
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "Tapping"
assert step["DosageNum"] == 25
@pytest.mark.asyncio
async def test_mix_single_channel(self, prcxi_9320_handler, well_plate_96):
"""测试单通道混合液体"""
# 混合液体
well = well_plate_96.get_item("A1")
await prcxi_9320_handler.mix([well], mix_time=3, mix_vol=50)
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "Blending"
assert step["BlendingTimes"] == 3
assert step["DosageNum"] == 50
@pytest.mark.asyncio
async def test_drop_tips_to_trash(self, prcxi_9320_handler, trash_container):
"""测试丢弃枪头到垃圾桶"""
# 丢弃枪头
await prcxi_9320_handler.drop_tips([trash_container], [0])
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "UnLoad"
@pytest.mark.asyncio
async def test_discard_tips(self, prcxi_9320_handler):
"""测试丢弃枪头"""
# 丢弃枪头
await prcxi_9320_handler.discard_tips([0])
# 验证步骤已添加到待办列表
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 1
step = prcxi_9320_handler._unilabos_backend.steps_todo_list[0]
assert step["Function"] == "UnLoad"
@pytest.mark.asyncio
async def test_liquid_transfer_workflow(self, prcxi_9320_handler, tip_rack_10ul, well_plate_96):
"""测试完整的液体转移工作流程"""
# 设置枪头盒和液体
prcxi_9320_handler.set_tiprack([tip_rack_10ul])
source_well = well_plate_96.get_item("A1")
target_well = well_plate_96.get_item("B1")
prcxi_9320_handler.set_liquid([source_well], ["water"], [100])
# 创建协议
await prcxi_9320_handler.create_protocol(protocol_name="Test Transfer Protocol")
# 执行转移流程
tip_spot = tip_rack_10ul.get_item("A1")
await prcxi_9320_handler.pick_up_tips([tip_spot], [0])
await prcxi_9320_handler.aspirate([source_well], [50], [0])
await prcxi_9320_handler.dispense([target_well], [50], [0])
await prcxi_9320_handler.discard_tips([0])
# 验证所有步骤都已添加
assert len(prcxi_9320_handler._unilabos_backend.steps_todo_list) == 4
functions = [step["Function"] for step in prcxi_9320_handler._unilabos_backend.steps_todo_list]
assert functions == ["Load", "Imbibing", "Tapping", "UnLoad"]
class TestPRCXILayoutRecommendation:
"""测试 PRCXI 板位推荐功能"""
def test_9300_layout_creation(self, default_layout_9300):
"""测试 PRCXI 9300 布局创建"""
layout_info = default_layout_9300.get_layout()
assert layout_info["rows"] == 2
assert layout_info["columns"] == 3
assert len(layout_info["layout"]) == 6
assert layout_info["trash_slot"] == 6
assert "waste_liquid_slot" not in layout_info
def test_9320_layout_creation(self, default_layout_9320):
"""测试 PRCXI 9320 布局创建"""
layout_info = default_layout_9320.get_layout()
assert layout_info["rows"] == 4
assert layout_info["columns"] == 4
assert len(layout_info["layout"]) == 16
assert layout_info["trash_slot"] == 16
assert layout_info["waste_liquid_slot"] == 12
def test_layout_recommendation_9320(self, default_layout_9320, prcxi_materials):
"""测试 PRCXI 9320 板位推荐功能"""
# 添加物料信息
default_layout_9320.add_lab_resource(prcxi_materials)
# 推荐布局
needs = [
("reagent_1", "96 细胞培养皿", 3),
("reagent_2", "12道储液槽", 1),
("reagent_3", "200μL Tip头", 7),
("reagent_4", "10μL加长 Tip头", 1),
]
matrix_layout, layout_list = default_layout_9320.recommend_layout(needs)
# 验证返回结果
assert "MatrixId" in matrix_layout
assert "MatrixName" in matrix_layout
assert "MatrixCount" in matrix_layout
assert "WorkTablets" in matrix_layout
assert len(layout_list) == 12 # 3+1+7+1 = 12个位置
# 验证推荐的位置不包含预留位置
reserved_positions = {12, 16}
recommended_positions = [item["positions"] for item in layout_list]
for pos in recommended_positions:
assert pos not in reserved_positions
def test_layout_recommendation_insufficient_space(self, default_layout_9320, prcxi_materials):
"""测试板位推荐空间不足的情况"""
# 添加物料信息
default_layout_9320.add_lab_resource(prcxi_materials)
# 尝试推荐超过可用空间的布局
needs = [
("reagent_1", "96 细胞培养皿", 15), # 需要15个位置但只有14个可用
]
with pytest.raises(ValueError, match="需要 .* 个位置,但只有 .* 个可用位置"):
default_layout_9320.recommend_layout(needs)
def test_layout_recommendation_material_not_found(self, default_layout_9320, prcxi_materials):
"""测试板位推荐物料不存在的情况"""
# 添加物料信息
default_layout_9320.add_lab_resource(prcxi_materials)
# 尝试推荐不存在的物料
needs = [
("reagent_1", "不存在的物料", 1),
]
with pytest.raises(ValueError, match="Material .* not found in lab resources"):
default_layout_9320.recommend_layout(needs)
class TestPRCXIBackendOperations:
"""测试 PRCXI 后端操作功能"""
def test_backend_initialization(self, prcxi_9300_handler):
"""测试后端初始化"""
backend = prcxi_9300_handler._unilabos_backend
assert isinstance(backend, PRCXI9300Backend)
assert backend._num_channels == 8
assert backend.debug is True
def test_protocol_creation(self, prcxi_9300_handler):
"""测试协议创建"""
backend = prcxi_9300_handler._unilabos_backend
backend.create_protocol("Test Protocol")
assert backend.protocol_name == "Test Protocol"
assert len(backend.steps_todo_list) == 0
def test_channel_validation(self):
"""测试通道验证"""
# 测试正确的8通道配置
valid_channels = [0, 1, 2, 3, 4, 5, 6, 7]
result = PRCXI9300Backend.check_channels(valid_channels)
assert result == valid_channels
# 测试错误的通道配置
invalid_channels = [0, 1, 2, 3]
result = PRCXI9300Backend.check_channels(invalid_channels)
assert result == [0, 1, 2, 3, 4, 5, 6, 7]
def test_matrix_info_creation(self, prcxi_9300_handler):
"""测试矩阵信息创建"""
backend = prcxi_9300_handler._unilabos_backend
backend.create_protocol("Test Protocol")
# 模拟运行协议时的矩阵信息创建
run_time = 1234567890
matrix_info = MatrixInfo(
MatrixId=f"{int(run_time)}",
MatrixName=f"protocol_{run_time}",
MatrixCount=len(backend.tablets_info),
WorkTablets=backend.tablets_info,
)
assert matrix_info["MatrixId"] == str(int(run_time))
assert matrix_info["MatrixName"] == f"protocol_{run_time}"
assert "WorkTablets" in matrix_info
class TestPRCXIContainerOperations:
"""测试 PRCXI 容器操作功能"""
def test_container_serialization(self, tip_rack_300ul):
"""测试容器序列化"""
serialized = tip_rack_300ul.serialize_state()
assert "Material" in serialized
assert serialized["Material"]["Name"] == "300μL Tip头"
def test_container_deserialization(self, tip_rack_300ul):
"""测试容器反序列化"""
# 序列化
serialized = tip_rack_300ul.serialize_state()
# 创建新容器并反序列化
new_tip_rack = PRCXI9300Container(
name="new_tip_rack",
size_x=50,
size_y=50,
size_z=10,
category="tip_rack",
ordering=collections.OrderedDict()
)
new_tip_rack.load_state(serialized)
assert new_tip_rack._unilabos_state["Material"]["Name"] == "300μL Tip头"
def test_trash_container_creation(self, prcxi_materials):
"""测试垃圾桶容器创建"""
trash = PRCXI9300Trash(name="trash", size_x=50, size_y=50, size_z=10, category="trash")
trash.load_state({
"Material": {
"uuid": prcxi_materials["废弃槽"]["uuid"]
}
})
assert trash.name == "trash"
assert trash._unilabos_state["Material"]["uuid"] == prcxi_materials["废弃槽"]["uuid"]
if __name__ == "__main__":
# 运行测试
pytest.main([__file__, "-v"])

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"""
批量转运编译器测试
覆盖单物料退化、刚好一批、多批次、空操作、AGV 配置发现、children dict 状态。
"""
import pytest
import networkx as nx
from unilabos.compile.batch_transfer_protocol import generate_batch_transfer_protocol
from unilabos.compile.agv_transfer_protocol import generate_agv_transfer_protocol
from unilabos.compile._agv_utils import find_agv_config, get_agv_capacity, split_batches
# ============ 构建测试用设备图 ============
def _make_graph(capacity_x=2, capacity_y=1, capacity_z=1):
"""构建包含 AGV 节点的测试设备图"""
G = nx.DiGraph()
# AGV 节点
G.add_node("AGV", **{
"type": "device",
"class_": "agv_transport_station",
"config": {
"protocol_type": ["AGVTransferProtocol", "BatchTransferProtocol"],
"device_roles": {
"navigator": "zhixing_agv",
"arm": "zhixing_ur_arm"
},
"route_table": {
"StationA->StationB": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
"AGV->StationA": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
"StationA->StationA": {
"nav_command": '{"target": "LM1"}',
"arm_pick": '{"task_name": "pick.urp"}',
"arm_place": '{"task_name": "place.urp"}'
},
}
}
})
# AGV 子设备
G.add_node("zhixing_agv", type="device", class_="zhixing_agv")
G.add_node("zhixing_ur_arm", type="device", class_="zhixing_ur_arm")
G.add_edge("AGV", "zhixing_agv")
G.add_edge("AGV", "zhixing_ur_arm")
# AGV Warehouse 子资源
G.add_node("agv_platform", **{
"type": "warehouse",
"config": {
"name": "agv_platform",
"num_items_x": capacity_x,
"num_items_y": capacity_y,
"num_items_z": capacity_z,
}
})
G.add_edge("AGV", "agv_platform")
# 来源/目标工站
G.add_node("StationA", type="device", class_="workstation")
G.add_node("StationB", type="device", class_="workstation")
return G
def _make_repos(items_count=2):
"""构建测试用的 from_repo 和 to_repo dict"""
children = {}
for i in range(items_count):
pos = f"A{i + 1:02d}"
children[pos] = {
"id": f"resource_{i + 1}",
"name": f"R{i + 1}",
"parent": "StationA",
"type": "resource",
}
from_repo = {
"StationA": {
"id": "StationA",
"name": "StationA",
"children": children,
}
}
to_repo = {
"StationB": {
"id": "StationB",
"name": "StationB",
"children": {},
}
}
return from_repo, to_repo
def _make_items(count=2):
"""构建 transfer_resources / from_positions / to_positions"""
resources = [
{
"id": f"resource_{i + 1}",
"name": f"R{i + 1}",
"sample_id": f"uuid-{i + 1}",
"parent": "StationA",
"type": "resource",
}
for i in range(count)
]
from_positions = [f"A{i + 1:02d}" for i in range(count)]
to_positions = [f"A{i + 1:02d}" for i in range(count)]
return resources, from_positions, to_positions
# ============ _agv_utils 测试 ============
class TestAGVUtils:
def test_find_agv_config(self):
G = _make_graph()
cfg = find_agv_config(G)
assert cfg["agv_id"] == "AGV"
assert cfg["device_roles"]["navigator"] == "zhixing_agv"
assert cfg["device_roles"]["arm"] == "zhixing_ur_arm"
assert "StationA->StationB" in cfg["route_table"]
def test_find_agv_config_by_id(self):
G = _make_graph()
cfg = find_agv_config(G, agv_id="AGV")
assert cfg["agv_id"] == "AGV"
def test_find_agv_config_not_found(self):
G = nx.DiGraph()
G.add_node("SomeDevice", type="device", class_="pump")
with pytest.raises(ValueError, match="未找到 AGV"):
find_agv_config(G)
def test_get_agv_capacity(self):
G = _make_graph(capacity_x=2, capacity_y=1, capacity_z=1)
assert get_agv_capacity(G, "AGV") == 2
def test_get_agv_capacity_multi_layer(self):
G = _make_graph(capacity_x=1, capacity_y=2, capacity_z=3)
assert get_agv_capacity(G, "AGV") == 6
def test_split_batches_exact(self):
assert split_batches([1, 2], 2) == [[1, 2]]
def test_split_batches_overflow(self):
assert split_batches([1, 2, 3], 2) == [[1, 2], [3]]
def test_split_batches_single(self):
assert split_batches([1], 4) == [[1]]
def test_split_batches_zero_capacity(self):
with pytest.raises(ValueError):
split_batches([1], 0)
# ============ 批量转运编译器测试 ============
class TestBatchTransferProtocol:
def test_empty_items(self):
"""空物料列表返回空 steps"""
G = _make_graph()
from_repo, to_repo = _make_repos(0)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, [], [], [])
assert steps == []
def test_single_item(self):
"""单物料转运BatchTransfer 退化为单物料)"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(1)
resources, from_pos, to_pos = _make_items(1)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# 应该有: nav到来源 + 1个pick + nav到目标 + 1个place = 4 steps
assert len(steps) == 4
assert steps[0]["action_name"] == "send_nav_task"
assert steps[1]["action_name"] == "move_pos_task"
assert steps[1]["_transfer_meta"]["phase"] == "pick"
assert steps[2]["action_name"] == "send_nav_task"
assert steps[3]["action_name"] == "move_pos_task"
assert steps[3]["_transfer_meta"]["phase"] == "place"
def test_exact_capacity(self):
"""物料数 = AGV 容量,刚好一批"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(2)
resources, from_pos, to_pos = _make_items(2)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# nav + 2 pick + nav + 2 place = 6 steps
assert len(steps) == 6
pick_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "pick"]
place_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "place"]
assert len(pick_steps) == 2
assert len(place_steps) == 2
def test_multi_batch(self):
"""物料数 > AGV 容量,自动分批"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(3)
resources, from_pos, to_pos = _make_items(3)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# 批次1: nav + 2 pick + nav + 2 place + nav(返回) = 7
# 批次2: nav + 1 pick + nav + 1 place = 4
# 总计 11 steps
assert len(steps) == 11
nav_steps = [s for s in steps if s["action_name"] == "send_nav_task"]
# 批次1: 2 nav(去来源+去目标) + 1 nav(返回) + 批次2: 2 nav = 5 nav
assert len(nav_steps) == 5
def test_children_dict_updated(self):
"""compile 阶段三方 children dict 状态正确"""
G = _make_graph(capacity_x=2)
from_repo, to_repo = _make_repos(2)
resources, from_pos, to_pos = _make_items(2)
assert "A01" in from_repo["StationA"]["children"]
assert "A02" in from_repo["StationA"]["children"]
assert len(to_repo["StationB"]["children"]) == 0
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
# compile 后 from_repo 的 children 应该被 pop 掉
assert "A01" not in from_repo["StationA"]["children"]
assert "A02" not in from_repo["StationA"]["children"]
# to_repo 应该有新物料
assert "A01" in to_repo["StationB"]["children"]
assert "A02" in to_repo["StationB"]["children"]
assert to_repo["StationB"]["children"]["A01"]["id"] == "resource_1"
def test_device_ids_from_config(self):
"""设备 ID 全部从配置读取,不硬编码"""
G = _make_graph()
from_repo, to_repo = _make_repos(1)
resources, from_pos, to_pos = _make_items(1)
steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
device_ids = {s["device_id"] for s in steps}
assert "zhixing_agv" in device_ids
assert "zhixing_ur_arm" in device_ids
def test_route_not_found(self):
"""路由表中无对应路线时报错"""
G = _make_graph()
from_repo = {"Unknown": {"id": "Unknown", "children": {"A01": {"id": "R1", "parent": "Unknown"}}}}
to_repo = {"Other": {"id": "Other", "children": {}}}
resources = [{"id": "R1", "name": "R1"}]
with pytest.raises(KeyError, match="路由表"):
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01"], ["B01"])
def test_length_mismatch(self):
"""三个数组长度不一致时报错"""
G = _make_graph()
from_repo, to_repo = _make_repos(2)
resources = [{"id": "R1"}]
with pytest.raises(ValueError, match="长度不一致"):
generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01", "A02"], ["B01"])
# ============ 改造后的 AGV 单物料编译器测试 ============
class TestAGVTransferProtocol:
def test_single_transfer_from_config(self):
"""改造后的单物料编译器从 G 读取配置"""
G = _make_graph()
from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
to_repo = {"StationB": {"id": "StationB", "children": {}}}
steps = generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
assert len(steps) == 2
assert steps[0]["device_id"] == "zhixing_agv"
assert steps[0]["action_name"] == "send_nav_task"
assert steps[1]["device_id"] == "zhixing_ur_arm"
assert steps[1]["action_name"] == "move_pos_task"
def test_children_updated(self):
"""单物料编译后 children dict 正确更新"""
G = _make_graph()
from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
to_repo = {"StationB": {"id": "StationB", "children": {}}}
generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
assert "A01" not in from_repo["StationA"]["children"]
assert "B01" in to_repo["StationB"]["children"]
assert to_repo["StationB"]["children"]["B01"]["parent"] == "StationB"

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"""
全链路集成测试ROS Goal 转换 → ResourceTreeSet → get_plr_nested_dict → 编译器 → 动作列表
模拟 workstation.py 中的完整路径:
1. host 返回 raw_data模拟 resource_get 响应)
2. ResourceTreeSet.from_raw_dict_list(raw_data) 构建资源树
3. tree.root_node.get_plr_nested_dict() 生成嵌套 dict
4. protocol_kwargs 传给编译器
5. 编译器返回 action_list验证结构和关键字段
"""
import copy
import json
import pytest
import networkx as nx
from unilabos.resources.resource_tracker import (
ResourceDictInstance,
ResourceTreeSet,
)
from unilabos.compile.utils.resource_helper import (
ensure_resource_instance,
resource_to_dict,
get_resource_id,
get_resource_data,
)
from unilabos.compile.utils.vessel_parser import get_vessel
# ============ 构建模拟设备图 ============
def _build_test_graph():
"""构建一个包含常用设备节点的测试图"""
G = nx.DiGraph()
# 容器
G.add_node("reactor_01", **{
"id": "reactor_01",
"name": "reactor_01",
"type": "device",
"class": "virtual_stirrer",
"data": {},
"config": {},
})
# 搅拌设备
G.add_node("stirrer_1", **{
"id": "stirrer_1",
"name": "stirrer_1",
"type": "device",
"class": "virtual_stirrer",
"data": {},
"config": {},
})
G.add_edge("stirrer_1", "reactor_01")
# 加热设备
G.add_node("heatchill_1", **{
"id": "heatchill_1",
"name": "heatchill_1",
"type": "device",
"class": "virtual_heatchill",
"data": {},
"config": {},
})
G.add_edge("heatchill_1", "reactor_01")
# 试剂容器(液体)
G.add_node("flask_water", **{
"id": "flask_water",
"name": "flask_water",
"type": "container",
"class": "",
"data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 500.0}]},
"config": {"reagent": "water"},
})
# 固体加样器
G.add_node("solid_dispenser_1", **{
"id": "solid_dispenser_1",
"name": "solid_dispenser_1",
"type": "device",
"class": "solid_dispenser",
"data": {},
"config": {},
})
# 泵
G.add_node("pump_1", **{
"id": "pump_1",
"name": "pump_1",
"type": "device",
"class": "virtual_pump",
"data": {},
"config": {},
})
G.add_edge("flask_water", "pump_1")
G.add_edge("pump_1", "reactor_01")
return G
# ============ 构建模拟 host 返回数据 ============
def _make_raw_resource(
id="reactor_01",
uuid="uuid-reactor-01",
name="reactor_01",
klass="virtual_stirrer",
type_="device",
parent=None,
parent_uuid=None,
data=None,
config=None,
extra=None,
):
"""模拟 host 返回的单个资源 dict与 resource_get 服务响应一致)"""
return {
"id": id,
"uuid": uuid,
"name": name,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
def _simulate_workstation_resource_enrichment(raw_data_list, field_type="unilabos_msgs/Resource"):
"""
模拟 workstation.py 中 resource enrichment 的核心逻辑:
raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → protocol_kwargs[k]
"""
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
if field_type == "unilabos_msgs/Resource":
# 单个 Resource取第一棵树的根节点
root_instance = tree_set.trees[0].root_node if tree_set.trees else None
return root_instance.get_plr_nested_dict() if root_instance else {}
else:
# sequence<Resource>:返回列表
return [tree.root_node.get_plr_nested_dict() for tree in tree_set.trees]
# ============ 全链路测试Stir 协议 ============
class TestStirProtocolFullChain:
"""Stir 协议全链路host raw_data → enriched dict → compiler → action_list"""
def test_stir_with_enriched_resource_dict(self):
"""单个 Resource 经过 enrichment 后传给 stir compiler"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
)]
# 模拟 workstation enrichment
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
assert enriched_vessel["id"] == "reactor_01"
assert enriched_vessel["uuid"] == "uuid-reactor-01"
assert enriched_vessel["class"] == "virtual_stirrer"
# 传给编译器
G = _build_test_graph()
actions = generate_stir_protocol(
G=G,
vessel=enriched_vessel,
time="60",
stir_speed=300.0,
)
assert isinstance(actions, list)
assert len(actions) >= 1
action = actions[0]
assert action["device_id"] == "stirrer_1"
assert action["action_name"] == "stir"
assert "vessel" in action["action_kwargs"]
assert action["action_kwargs"]["vessel"]["id"] == "reactor_01"
def test_stir_with_resource_dict_instance(self):
"""直接用 ResourceDictInstance 传给 stir compiler通过 get_plr_nested_dict 转换)"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
inst = tree_set.trees[0].root_node
# 通过 resource_to_dict 转换resource_helper 兼容层)
vessel_dict = resource_to_dict(inst)
assert isinstance(vessel_dict, dict)
assert vessel_dict["id"] == "reactor_01"
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel=vessel_dict, time="30")
assert len(actions) >= 1
assert actions[0]["action_name"] == "stir"
def test_stir_with_string_vessel(self):
"""兼容旧模式:直接传 vessel 字符串"""
from unilabos.compile.stir_protocol import generate_stir_protocol
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel="reactor_01", time="30")
assert len(actions) >= 1
assert actions[0]["device_id"] == "stirrer_1"
assert actions[0]["action_kwargs"]["vessel"]["id"] == "reactor_01"
# ============ 全链路测试HeatChill 协议 ============
class TestHeatChillProtocolFullChain:
"""HeatChill 协议全链路"""
def test_heatchill_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
raw_data = [_make_raw_resource(id="reactor_01", klass="virtual_stirrer")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_protocol(
G=G,
vessel=enriched_vessel,
temp=80.0,
time="300",
)
assert isinstance(actions, list)
assert len(actions) >= 1
action = actions[0]
assert action["device_id"] == "heatchill_1"
assert action["action_name"] == "heat_chill"
assert action["action_kwargs"]["temp"] == 80.0
def test_heatchill_start_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_start_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_start_protocol(
G=G,
vessel=enriched_vessel,
temp=60.0,
)
assert len(actions) >= 1
assert actions[0]["action_name"] == "heat_chill_start"
assert actions[0]["action_kwargs"]["temp"] == 60.0
def test_heatchill_stop_with_enriched_resource(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_stop_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_stop_protocol(G=G, vessel=enriched_vessel)
assert len(actions) >= 1
assert actions[0]["action_name"] == "heat_chill_stop"
# ============ 全链路测试Add 协议 ============
class TestAddProtocolFullChain:
"""Add 协议全链路vessel enrichment + reagent 查找 + 泵传输"""
def test_add_solid_with_enriched_resource(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(
G=G,
vessel=enriched_vessel,
reagent="NaCl",
mass="5 g",
)
assert isinstance(actions, list)
assert len(actions) >= 1
# 应该包含至少一个 add_solid 或 log_message 动作
action_names = [a.get("action_name", "") for a in actions]
assert any(name in ["add_solid", "log_message"] for name in action_names)
def test_add_liquid_with_enriched_resource(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(
G=G,
vessel=enriched_vessel,
reagent="water",
volume="10 mL",
)
assert isinstance(actions, list)
assert len(actions) >= 1
# ============ 全链路测试ResourceDictInstance 兼容层 ============
class TestResourceDictInstanceCompatibility:
"""验证编译器兼容层对 ResourceDictInstance 的处理"""
def test_get_vessel_from_enriched_dict(self):
"""get_vessel 对 enriched dict 的处理"""
raw_data = [_make_raw_resource(
id="reactor_01",
data={"temperature": 25.0, "liquid": [{"liquid_type": "water", "volume": 10.0}]},
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
vessel_id, vessel_data = get_vessel(enriched)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
assert len(vessel_data["liquid"]) == 1
def test_get_vessel_from_resource_instance(self):
"""get_vessel 直接对 ResourceDictInstance 的处理"""
raw_data = [_make_raw_resource(
id="reactor_01",
data={"temperature": 25.0},
)]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
inst = tree_set.trees[0].root_node
vessel_id, vessel_data = get_vessel(inst)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_ensure_resource_instance_round_trip(self):
"""ensure_resource_instance → resource_to_dict 无损往返"""
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer",
data={"temp": 25.0},
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
# dict → ResourceDictInstance
inst = ensure_resource_instance(enriched)
assert isinstance(inst, ResourceDictInstance)
assert inst.res_content.id == "reactor_01"
assert inst.res_content.uuid == "uuid-r01"
# ResourceDictInstance → dict
d = resource_to_dict(inst)
assert isinstance(d, dict)
assert d["id"] == "reactor_01"
assert d["uuid"] == "uuid-r01"
assert d["class"] == "virtual_stirrer"
# ============ 全链路测试:带 children 的资源树 ============
class TestResourceTreeWithChildren:
"""测试带 children 结构的资源树通过编译器的路径"""
def _make_tree_with_children(self):
"""构建 StationA -> [Flask1, Flask2] 的资源树"""
return [
_make_raw_resource(
id="StationA", uuid="uuid-station-a",
name="StationA", klass="workstation", type_="device",
),
_make_raw_resource(
id="Flask1", uuid="uuid-flask-1",
name="Flask1", klass="", type_="resource",
parent="StationA", parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
),
_make_raw_resource(
id="Flask2", uuid="uuid-flask-2",
name="Flask2", klass="", type_="resource",
parent="StationA", parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
),
]
def test_enrichment_preserves_children_structure(self):
"""验证 enrichment 后 children 为嵌套 dict"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
assert enriched["id"] == "StationA"
assert "children" in enriched
assert isinstance(enriched["children"], dict)
assert "Flask1" in enriched["children"]
assert "Flask2" in enriched["children"]
def test_children_preserve_uuid_and_data(self):
"""验证 children 中的 uuid 和 data 被正确保留"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
flask1 = enriched["children"]["Flask1"]
assert flask1["uuid"] == "uuid-flask-1"
assert flask1["data"]["liquid"][0]["liquid_type"] == "water"
assert flask1["data"]["liquid"][0]["volume"] == 10.0
flask2 = enriched["children"]["Flask2"]
assert flask2["uuid"] == "uuid-flask-2"
assert flask2["data"]["liquid"][0]["liquid_type"] == "ethanol"
def test_children_dict_can_be_popped(self):
"""模拟 batch_transfer_protocol 中 pop children 的操作"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
# batch_transfer_protocol 中会 pop children
children = enriched["children"]
popped = children.pop("Flask1")
assert popped["id"] == "Flask1"
assert "Flask1" not in enriched["children"]
assert "Flask2" in enriched["children"]
def test_children_dict_usable_as_from_repo(self):
"""模拟 batch_transfer_protocol 中 from_repo 参数"""
raw_data = self._make_tree_with_children()
enriched = _simulate_workstation_resource_enrichment(raw_data)
# 模拟编译器接收的 from_repo 格式
from_repo = {"StationA": enriched}
from_repo_ = list(from_repo.values())[0]
assert from_repo_["id"] == "StationA"
assert "Flask1" in from_repo_["children"]
assert from_repo_["children"]["Flask1"]["uuid"] == "uuid-flask-1"
def test_sequence_resource_enrichment(self):
"""sequence<Resource> 情况:多个独立资源树"""
raw_data1 = [_make_raw_resource(id="R1", uuid="uuid-r1")]
raw_data2 = [_make_raw_resource(id="R2", uuid="uuid-r2")]
tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
results = [
tree.root_node.get_plr_nested_dict()
for ts in [tree_set1, tree_set2]
for tree in ts.trees
]
assert len(results) == 2
assert results[0]["id"] == "R1"
assert results[1]["id"] == "R2"
# ============ 全链路测试:动作列表结构验证 ============
class TestActionListStructure:
"""验证编译器返回的 action_list 结构符合 workstation 预期"""
def _validate_action(self, action):
"""验证单个 action dict 的结构"""
if action.get("action_name") == "wait":
# wait 伪动作不需要 device_id
assert "action_kwargs" in action
assert "time" in action["action_kwargs"]
return
if action.get("action_name") == "log_message":
# log 伪动作
assert "action_kwargs" in action
return
# 正常设备动作
assert "device_id" in action, f"action 缺少 device_id: {action}"
assert "action_name" in action, f"action 缺少 action_name: {action}"
assert "action_kwargs" in action, f"action 缺少 action_kwargs: {action}"
assert isinstance(action["action_kwargs"], dict)
def test_stir_action_list_structure(self):
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_stir_protocol(G=G, vessel=enriched, time="60")
for action in actions:
if isinstance(action, list):
# 并行动作
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
def test_heatchill_action_list_structure(self):
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_heat_chill_protocol(G=G, vessel=enriched, temp=80.0, time="60")
for action in actions:
if isinstance(action, list):
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
def test_add_action_list_structure(self):
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
actions = generate_add_protocol(G=G, vessel=enriched, reagent="NaCl", mass="5 g")
for action in actions:
if isinstance(action, list):
for sub_action in action:
self._validate_action(sub_action)
else:
self._validate_action(action)
# ============ 全链路测试message_converter 到 enrichment ============
class TestMessageConverterToEnrichment:
"""模拟从 ROS 消息转换后的 dict 到 enrichment 的完整链路"""
def test_ros_goal_conversion_simulation(self):
"""
模拟 workstation.py 中的完整流程:
1. ROS goal 中的 vessel 字段被 convert_from_ros_msg 转换为浅层 dict
2. workstation 用 resource_id 请求 host 获取完整资源数据
3. ResourceTreeSet.from_raw_dict_list 构建资源树
4. get_plr_nested_dict 生成嵌套 dict 替换 protocol_kwargs[k]
"""
# 步骤1: 模拟 convert_from_ros_msg 的输出(浅层 dict只有 id 等基本字段)
shallow_vessel = {
"id": "reactor_01",
"uuid": "uuid-reactor-01",
"name": "reactor_01",
"type": "device",
"category": "virtual_stirrer",
"children": [],
"parent": "",
"parent_uuid": "",
"config": {},
"data": {},
"extra": {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
protocol_kwargs = {
"vessel": shallow_vessel,
"time": "300",
"stir_speed": 300.0,
}
# 步骤2: 提取 resource_id
resource_id = protocol_kwargs["vessel"]["id"]
assert resource_id == "reactor_01"
# 步骤3: 模拟 host 返回完整数据(带 children
host_response = [
_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
data={"temperature": 25.0, "pressure": 1.0},
config={"max_temp": 300.0},
),
]
# 步骤4: enrichment
enriched = _simulate_workstation_resource_enrichment(host_response)
protocol_kwargs["vessel"] = enriched
# 验证 enrichment 后的 protocol_kwargs
assert protocol_kwargs["vessel"]["id"] == "reactor_01"
assert protocol_kwargs["vessel"]["uuid"] == "uuid-reactor-01"
assert protocol_kwargs["vessel"]["class"] == "virtual_stirrer"
assert protocol_kwargs["vessel"]["data"]["temperature"] == 25.0
assert protocol_kwargs["vessel"]["config"]["max_temp"] == 300.0
# 步骤5: 传给编译器
from unilabos.compile.stir_protocol import generate_stir_protocol
G = _build_test_graph()
actions = generate_stir_protocol(G=G, **protocol_kwargs)
assert len(actions) >= 1
assert actions[0]["device_id"] == "stirrer_1"
assert actions[0]["action_name"] == "stir"
def test_ros_goal_with_children_enrichment(self):
"""ROS goal → enrichment 带 children 的场景batch transfer"""
# 模拟 host 返回带 children 的数据
host_response = [
_make_raw_resource(
id="StationA", uuid="uuid-sa", klass="workstation", type_="device",
config={"num_items_x": 4, "num_items_y": 2},
),
_make_raw_resource(
id="Plate1", uuid="uuid-p1", type_="resource",
parent="StationA", parent_uuid="uuid-sa",
data={"sample": "sample_A"},
),
_make_raw_resource(
id="Plate2", uuid="uuid-p2", type_="resource",
parent="StationA", parent_uuid="uuid-sa",
data={"sample": "sample_B"},
),
]
enriched = _simulate_workstation_resource_enrichment(host_response)
assert enriched["id"] == "StationA"
assert enriched["class"] == "workstation"
assert len(enriched["children"]) == 2
assert enriched["children"]["Plate1"]["data"]["sample"] == "sample_A"
assert enriched["children"]["Plate2"]["uuid"] == "uuid-p2"
# 模拟 batch_transfer 的 from_repo 格式
from_repo = {"StationA": enriched}
from_repo_ = list(from_repo.values())[0]
assert "Plate1" in from_repo_["children"]
assert from_repo_["children"]["Plate1"]["uuid"] == "uuid-p1"
# ============ 全链路测试:多协议连续调用 ============
class TestMultiProtocolChain:
"""模拟连续执行多个协议(如 add → stir → heatchill"""
def test_sequential_protocol_execution(self):
"""模拟典型合成路径add → stir → heatchill"""
from unilabos.compile.stir_protocol import generate_stir_protocol
from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
from unilabos.compile.add_protocol import generate_add_protocol
raw_data = [_make_raw_resource(
id="reactor_01", uuid="uuid-reactor-01",
klass="virtual_stirrer", type_="device",
)]
enriched = _simulate_workstation_resource_enrichment(raw_data)
G = _build_test_graph()
# 每次调用用 enriched 的副本,避免编译器修改原数据
all_actions = []
# 步骤1: 添加试剂
add_actions = generate_add_protocol(
G=G, vessel=copy.deepcopy(enriched),
reagent="NaCl", mass="5 g",
)
all_actions.extend(add_actions)
# 步骤2: 搅拌
stir_actions = generate_stir_protocol(
G=G, vessel=copy.deepcopy(enriched),
time="60", stir_speed=300.0,
)
all_actions.extend(stir_actions)
# 步骤3: 加热
heat_actions = generate_heat_chill_protocol(
G=G, vessel=copy.deepcopy(enriched),
temp=80.0, time="300",
)
all_actions.extend(heat_actions)
# 验证总动作列表
assert len(all_actions) >= 3
# 每个协议至少产生一个核心动作
action_names = [a.get("action_name", "") for a in all_actions if isinstance(a, dict)]
assert "stir" in action_names
assert "heat_chill" in action_names
def test_enriched_resource_not_mutated(self):
"""验证编译器不应修改传入的 enriched dict如果需要修改应 deepcopy"""
from unilabos.compile.stir_protocol import generate_stir_protocol
raw_data = [_make_raw_resource(id="reactor_01")]
enriched = _simulate_workstation_resource_enrichment(raw_data)
original_id = enriched["id"]
original_uuid = enriched["uuid"]
G = _build_test_graph()
generate_stir_protocol(G=G, vessel=enriched, time="60")
# 验证 enriched dict 核心字段未被修改
assert enriched["id"] == original_id
assert enriched["uuid"] == original_uuid

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"""
PumpTransfer 和 Separate 全链路测试
构建包含泵/阀门/分液漏斗的完整设备图,
输出完整的中间数据(最短路径、泵骨架、动作列表等)。
"""
import copy
import json
import pprint
import pytest
import networkx as nx
from unilabos.resources.resource_tracker import ResourceTreeSet
from unilabos.compile.utils.resource_helper import get_resource_id, get_resource_data
from unilabos.compile.utils.vessel_parser import get_vessel
def _make_raw_resource(id, uuid=None, name=None, klass="", type_="device",
parent=None, parent_uuid=None, data=None, config=None, extra=None):
return {
"id": id,
"uuid": uuid or f"uuid-{id}",
"name": name or id,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 0.0, "y": 0.0, "z": 0.0},
}
def _simulate_enrichment(raw_data_list):
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
root = tree_set.trees[0].root_node if tree_set.trees else None
return root.get_plr_nested_dict() if root else {}
def _build_pump_transfer_graph():
"""
构建带泵/阀门的设备图,用于测试 PumpTransfer:
flask_water (container)
valve_1 (multiway_valve, pump_1 连接)
reactor_01 (device)
同时有: stirrer_1, heatchill_1, separator_1
"""
G = nx.DiGraph()
# 源容器
G.add_node("flask_water", **{
"id": "flask_water", "name": "flask_water",
"type": "container", "class": "",
"data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
"config": {"reagent": "water"},
})
# 多通阀
G.add_node("valve_1", **{
"id": "valve_1", "name": "valve_1",
"type": "device", "class": "multiway_valve",
"data": {}, "config": {},
})
# 注射泵(连接到阀门)
G.add_node("pump_1", **{
"id": "pump_1", "name": "pump_1",
"type": "device", "class": "virtual_pump",
"data": {}, "config": {"max_volume": 25.0},
})
# 目标容器
G.add_node("reactor_01", **{
"id": "reactor_01", "name": "reactor_01",
"type": "device", "class": "virtual_stirrer",
"data": {"liquid": [{"liquid_type": "water", "volume": 50.0}]},
"config": {},
})
# 搅拌器
G.add_node("stirrer_1", **{
"id": "stirrer_1", "name": "stirrer_1",
"type": "device", "class": "virtual_stirrer",
"data": {}, "config": {},
})
# 加热器
G.add_node("heatchill_1", **{
"id": "heatchill_1", "name": "heatchill_1",
"type": "device", "class": "virtual_heatchill",
"data": {}, "config": {},
})
# 分离器
G.add_node("separator_1", **{
"id": "separator_1", "name": "separator_1",
"type": "device", "class": "separator_controller",
"data": {}, "config": {},
})
# 废液容器
G.add_node("waste_workup", **{
"id": "waste_workup", "name": "waste_workup",
"type": "container", "class": "",
"data": {}, "config": {},
})
# 产物收集瓶
G.add_node("product_flask", **{
"id": "product_flask", "name": "product_flask",
"type": "container", "class": "",
"data": {}, "config": {},
})
# DCM溶剂瓶
G.add_node("flask_dcm", **{
"id": "flask_dcm", "name": "flask_dcm",
"type": "container", "class": "",
"data": {"reagent_name": "dcm", "liquid": [{"liquid_type": "dcm", "volume": 500.0}]},
"config": {"reagent": "dcm"},
})
# 边连接 —— flask_water → valve_1 → reactor_01
G.add_edge("flask_water", "valve_1", port={"valve_1": "port_1"})
G.add_edge("valve_1", "reactor_01", port={"valve_1": "port_2"})
# 阀门 → 泵
G.add_edge("valve_1", "pump_1")
G.add_edge("pump_1", "valve_1")
# 搅拌器 ↔ reactor
G.add_edge("stirrer_1", "reactor_01")
# 加热器 ↔ reactor
G.add_edge("heatchill_1", "reactor_01")
# 分离器 ↔ reactor
G.add_edge("separator_1", "reactor_01")
G.add_edge("reactor_01", "separator_1")
# DCM → valve → reactor (同一泵路)
G.add_edge("flask_dcm", "valve_1", port={"valve_1": "port_3"})
# reactor → valve → product/waste
G.add_edge("valve_1", "product_flask", port={"valve_1": "port_4"})
G.add_edge("valve_1", "waste_workup", port={"valve_1": "port_5"})
return G
def _format_action(action, indent=0):
"""格式化单个 action 为可读字符串"""
prefix = " " * indent
if isinstance(action, list):
# 并行动作
lines = [f"{prefix}[PARALLEL]"]
for sub in action:
lines.append(_format_action(sub, indent + 1))
return "\n".join(lines)
name = action.get("action_name", "?")
device = action.get("device_id", "")
kwargs = action.get("action_kwargs", {})
comment = action.get("_comment", "")
meta = action.get("_transfer_meta", "")
parts = [f"{prefix}{device}::{name}"]
if kwargs:
# 精简输出
kw_str = ", ".join(f"{k}={v}" for k, v in kwargs.items()
if k not in ("progress_message",))
if kw_str:
parts.append(f" kwargs: {{{kw_str}}}")
if comment:
parts.append(f" # {comment}")
if meta:
parts.append(f" meta: {meta}")
return "\n".join(f"{prefix}{p}" if i > 0 else p for i, p in enumerate(parts))
def _dump_actions(actions, title=""):
"""打印完整动作列表"""
print(f"\n{'='*70}")
print(f" {title}")
print(f" 总动作数: {len(actions)}")
print(f"{'='*70}")
for i, action in enumerate(actions):
print(f"\n [{i:02d}] {_format_action(action, indent=2)}")
print(f"\n{'='*70}\n")
# ==================== PumpTransfer 全链路 ====================
class TestPumpTransferFullChain:
"""PumpTransfer: 包含图路径查找、泵骨架构建、动作序列生成"""
def test_pump_transfer_basic(self):
"""基础泵转移flask_water → valve_1 → reactor_01"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# 检查最短路径
path = nx.shortest_path(G, "flask_water", "reactor_01")
print(f"\n最短路径: {path}")
assert "valve_1" in path
# 调用编译器
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=10.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransfer: flask_water → reactor_01, 10mL")
# 验证
assert isinstance(actions, list)
assert len(actions) > 0
# 应该有 set_valve_position 和 set_position 动作
flat = [a for a in actions if isinstance(a, dict)]
action_names = [a.get("action_name") for a in flat]
print(f"动作名称列表: {action_names}")
assert "set_valve_position" in action_names
assert "set_position" in action_names
def test_pump_transfer_with_rinsing_enriched_vessel(self):
"""pump_with_rinsing 接收 enriched vessel dict"""
from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
G = _build_pump_transfer_graph()
# 模拟 enrichment
from_raw = [_make_raw_resource(
id="flask_water", klass="", type_="container",
data={"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
)]
to_raw = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer", type_="device",
)]
from_enriched = _simulate_enrichment(from_raw)
to_enriched = _simulate_enrichment(to_raw)
print(f"\nfrom_vessel enriched: {json.dumps(from_enriched, indent=2, ensure_ascii=False)[:300]}...")
print(f"to_vessel enriched: {json.dumps(to_enriched, indent=2, ensure_ascii=False)[:300]}...")
# get_vessel 兼容
fid, fdata = get_vessel(from_enriched)
tid, tdata = get_vessel(to_enriched)
print(f"from_vessel_id={fid}, to_vessel_id={tid}")
assert fid == "flask_water"
assert tid == "reactor_01"
actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_enriched,
to_vessel=to_enriched,
volume=15.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransferWithRinsing: flask_water → reactor_01, 15mL (enriched)")
assert isinstance(actions, list)
assert len(actions) > 0
def test_pump_transfer_multi_batch(self):
"""体积 > max_volume 时自动分批"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# pump_1 的 max_volume = 25mL转 60mL 应该分 3 批
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=60.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "PumpTransfer 分批: 60mL (max_volume=25mL, 预期 3 批)")
assert len(actions) > 0
# 应该有多轮 set_position
flat = [a for a in actions if isinstance(a, dict)]
set_position_count = sum(1 for a in flat if a.get("action_name") == "set_position")
print(f"set_position 动作数: {set_position_count}")
# 3批 × 2次 (吸液 + 排液) = 6 次 set_position
assert set_position_count >= 6
def test_pump_transfer_no_path(self):
"""无路径时返回空"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
G.add_node("isolated_flask", type="container")
actions = generate_pump_protocol(
G=G,
from_vessel_id="isolated_flask",
to_vessel_id="reactor_01",
volume=10.0,
)
print(f"\n无路径时的动作列表: {actions}")
assert actions == []
def test_pump_backbone_filtering(self):
"""验证泵骨架过滤逻辑(电磁阀被跳过)"""
from unilabos.compile.pump_protocol import generate_pump_protocol
G = _build_pump_transfer_graph()
# 添加电磁阀到路径中
G.add_node("solenoid_valve_1", **{
"type": "device", "class": "solenoid_valve",
"data": {}, "config": {},
})
# flask_water → solenoid_valve_1 → valve_1 → reactor_01
G.remove_edge("flask_water", "valve_1")
G.add_edge("flask_water", "solenoid_valve_1")
G.add_edge("solenoid_valve_1", "valve_1")
path = nx.shortest_path(G, "flask_water", "reactor_01")
print(f"\n含电磁阀的路径: {path}")
assert "solenoid_valve_1" in path
actions = generate_pump_protocol(
G=G,
from_vessel_id="flask_water",
to_vessel_id="reactor_01",
volume=10.0,
)
_dump_actions(actions, "PumpTransfer 含电磁阀: flask_water → solenoid → valve_1 → reactor_01")
# 电磁阀应被跳过,泵骨架只有 valve_1
assert len(actions) > 0
# ==================== Separate 全链路 ====================
class TestSeparateProtocolFullChain:
"""Separate: 包含 bug 确认和正常路径测试"""
def test_separate_bug_line_128_fixed(self):
"""验证 separate_protocol.py:128 的 bug 已修复(不再 crash"""
from unilabos.compile.separate_protocol import generate_separate_protocol
G = _build_pump_transfer_graph()
raw_data = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer",
data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
)]
enriched = _simulate_enrichment(raw_data)
# 修复前final_vessel_id, _ = vessel_id 会 crash字符串解包
# 修复后final_vessel_id = vessel_id正常返回 action 列表
result = generate_separate_protocol(
G=G,
vessel=enriched,
purpose="extract",
product_phase="top",
product_vessel="product_flask",
waste_vessel="waste_workup",
solvent="dcm",
volume="100 mL",
)
assert isinstance(result, list)
assert len(result) > 0
def test_separate_manual_workaround(self):
"""
绕过 line 128 bug手动测试分离编译器中可以工作的子函数
"""
from unilabos.compile.separate_protocol import (
find_separator_device,
find_separation_vessel_bottom,
)
from unilabos.compile.utils.vessel_parser import (
find_connected_stirrer,
find_solvent_vessel,
)
from unilabos.compile.utils.unit_parser import parse_volume_input
from unilabos.compile.utils.resource_helper import get_resource_liquid_volume as get_vessel_liquid_volume
G = _build_pump_transfer_graph()
# 1. get_vessel 解析 enriched dict
raw_data = [_make_raw_resource(
id="reactor_01", klass="virtual_stirrer",
data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
)]
enriched = _simulate_enrichment(raw_data)
vessel_id, vessel_data = get_vessel(enriched)
print(f"\nvessel_id: {vessel_id}")
print(f"vessel_data: {vessel_data}")
assert vessel_id == "reactor_01"
assert vessel_data["liquid"][0]["volume"] == 100.0
# 2. find_separator_device
sep = find_separator_device(G, vessel_id)
print(f"分离器设备: {sep}")
assert sep == "separator_1"
# 3. find_connected_stirrer
stirrer = find_connected_stirrer(G, vessel_id)
print(f"搅拌器设备: {stirrer}")
assert stirrer == "stirrer_1"
# 4. find_solvent_vessel
solvent_v = find_solvent_vessel(G, "dcm")
print(f"DCM溶剂容器: {solvent_v}")
assert solvent_v == "flask_dcm"
# 5. parse_volume_input
vol = parse_volume_input("200 mL")
print(f"体积解析: '200 mL'{vol}")
assert vol == 200.0
vol2 = parse_volume_input("1.5 L")
print(f"体积解析: '1.5 L'{vol2}")
assert vol2 == 1500.0
# 6. get_vessel_liquid_volume
liq_vol = get_vessel_liquid_volume(enriched)
print(f"液体体积 (enriched dict): {liq_vol}")
assert liq_vol == 100.0
# 7. find_separation_vessel_bottom
bottom = find_separation_vessel_bottom(G, vessel_id)
print(f"分离容器底部: {bottom}")
# 当前图中没有命名匹配的底部容器
def test_pump_transfer_for_separate_subflow(self):
"""测试 separate 中调用的 pump 子流程(溶剂添加 → 分液漏斗)"""
from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
G = _build_pump_transfer_graph()
# 模拟分离前的溶剂添加步骤
actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="flask_dcm",
to_vessel="reactor_01",
volume=100.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions, "Separate 子流程: flask_dcm → reactor_01, 100mL DCM")
assert isinstance(actions, list)
assert len(actions) > 0
# 模拟分离后产物转移
actions2 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="reactor_01",
to_vessel="product_flask",
volume=50.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions2, "Separate 子流程: reactor_01 → product_flask, 50mL 产物")
assert len(actions2) > 0
# 废液转移
actions3 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel="reactor_01",
to_vessel="waste_workup",
volume=50.0,
flowrate=2.5,
transfer_flowrate=0.5,
)
_dump_actions(actions3, "Separate 子流程: reactor_01 → waste_workup, 50mL 废液")
assert len(actions3) > 0
# ==================== 图路径可视化 ====================
class TestGraphPathVisualization:
"""输出图中关键路径信息"""
def test_all_shortest_paths(self):
"""输出所有容器之间的最短路径"""
G = _build_pump_transfer_graph()
containers = [n for n in G.nodes() if G.nodes[n].get("type") == "container"]
devices = [n for n in G.nodes() if G.nodes[n].get("type") == "device"]
print(f"\n{'='*70}")
print(f" 设备图概览")
print(f"{'='*70}")
print(f" 容器节点 ({len(containers)}): {containers}")
print(f" 设备节点 ({len(devices)}): {devices}")
print(f" 边数: {G.number_of_edges()}")
print(f" 边列表:")
for u, v, data in G.edges(data=True):
port_info = data.get("port", "")
print(f" {u}{v} {port_info if port_info else ''}")
print(f"\n 关键路径:")
pairs = [
("flask_water", "reactor_01"),
("flask_dcm", "reactor_01"),
("reactor_01", "product_flask"),
("reactor_01", "waste_workup"),
("flask_water", "product_flask"),
]
for src, dst in pairs:
try:
path = nx.shortest_path(G, src, dst)
length = len(path) - 1
# 标注路径上的节点类型
annotated = []
for n in path:
ntype = G.nodes[n].get("type", "?")
nclass = G.nodes[n].get("class", "")
annotated.append(f"{n}({ntype}{'/' + nclass if nclass else ''})")
print(f" {src}{dst}: 距离={length}")
print(f" 路径: {''.join(annotated)}")
except nx.NetworkXNoPath:
print(f" {src}{dst}: 无路径!")
print(f"{'='*70}\n")

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"""
ROS Goal → Resource 转换 → 编译器路径的集成测试
覆盖:
1. Resource.msg 新字段(uuid, klass, extra)的往返转换
2. dict → ROS Resource → dict 往返无损
3. ResourceTreeSet → get_plr_nested_dict 保留 children 结构
4. resource_helper 兼容 dict / ResourceDictInstance
5. vessel_parser.get_vessel 兼容 ResourceDictInstance
"""
import json
import pytest
# 不依赖 ROS 的测试 —— 直接测试 resource 处理路径
from unilabos.resources.resource_tracker import (
ResourceDict,
ResourceDictInstance,
ResourceTreeInstance,
ResourceTreeSet,
)
from unilabos.compile.utils.resource_helper import (
ensure_resource_instance,
resource_to_dict,
get_resource_id,
get_resource_data,
get_resource_display_info,
get_resource_liquid_volume,
)
from unilabos.compile.utils.vessel_parser import get_vessel
# ============ 构建测试数据 ============
def _make_resource_dict(
id="reactor_01",
uuid="uuid-reactor-01",
name="reactor_01",
klass="virtual_stirrer",
type_="device",
parent=None,
parent_uuid=None,
data=None,
config=None,
extra=None,
):
return {
"id": id,
"uuid": uuid,
"name": name,
"class": klass,
"type": type_,
"parent": parent,
"parent_uuid": parent_uuid or "",
"description": "",
"config": config or {},
"data": data or {},
"extra": extra or {},
"position": {"x": 1.0, "y": 2.0, "z": 3.0},
}
def _make_resource_instance(id="reactor_01", **kwargs):
d = _make_resource_dict(id=id, **kwargs)
return ResourceDictInstance.get_resource_instance_from_dict(d)
def _make_tree_with_children():
"""构建 StationA -> [R1, R2] 的资源树"""
raw_data = [
_make_resource_dict(
id="StationA",
uuid="uuid-station-a",
name="StationA",
klass="workstation",
type_="device",
),
_make_resource_dict(
id="R1",
uuid="uuid-r1",
name="R1",
klass="",
type_="resource",
parent="StationA",
parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
),
_make_resource_dict(
id="R2",
uuid="uuid-r2",
name="R2",
klass="",
type_="resource",
parent="StationA",
parent_uuid="uuid-station-a",
data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
),
]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
return tree_set
# ============ resource_helper 测试 ============
class TestResourceHelper:
"""测试 resource_helper 对 dict / ResourceDictInstance 的兼容性"""
def test_ensure_resource_instance_from_dict(self):
d = _make_resource_dict()
inst = ensure_resource_instance(d)
assert isinstance(inst, ResourceDictInstance)
assert inst.res_content.id == "reactor_01"
assert inst.res_content.uuid == "uuid-reactor-01"
def test_ensure_resource_instance_passthrough(self):
inst = _make_resource_instance()
result = ensure_resource_instance(inst)
assert result is inst # 同一个对象,不复制
def test_ensure_resource_instance_none(self):
assert ensure_resource_instance(None) is None
def test_get_resource_id_from_dict(self):
d = _make_resource_dict(id="my_device")
assert get_resource_id(d) == "my_device"
def test_get_resource_id_from_instance(self):
inst = _make_resource_instance(id="my_device")
assert get_resource_id(inst) == "my_device"
def test_get_resource_id_from_string(self):
assert get_resource_id("my_device") == "my_device"
def test_get_resource_id_from_wrapped_dict(self):
"""兼容 {station_id: {...}} 格式"""
d = {"StationA": {"id": "StationA", "name": "StationA"}}
assert get_resource_id(d) == "StationA"
def test_get_resource_data_from_dict(self):
d = _make_resource_dict(data={"temperature": 25.0})
assert get_resource_data(d) == {"temperature": 25.0}
def test_get_resource_data_from_instance(self):
inst = _make_resource_instance(data={"temperature": 25.0})
data = get_resource_data(inst)
assert data["temperature"] == 25.0
def test_get_resource_display_info_from_dict(self):
d = _make_resource_dict(id="reactor_01", name="Reactor #1")
info = get_resource_display_info(d)
assert "reactor_01" in info
assert "Reactor #1" in info
def test_get_resource_display_info_from_instance(self):
inst = _make_resource_instance(id="reactor_01", name="Reactor #1")
info = get_resource_display_info(inst)
assert "reactor_01" in info
def test_get_resource_display_info_from_string(self):
assert get_resource_display_info("reactor_01") == "reactor_01"
def test_get_resource_liquid_volume(self):
d = _make_resource_dict(data={"liquid": [{"liquid_type": "water", "volume": 15.5}]})
assert get_resource_liquid_volume(d) == pytest.approx(15.5)
def test_resource_to_dict_from_instance(self):
inst = _make_resource_instance(id="reactor_01", klass="virtual_stirrer")
d = resource_to_dict(inst)
assert isinstance(d, dict)
assert d["id"] == "reactor_01"
assert d["class"] == "virtual_stirrer"
def test_resource_to_dict_passthrough(self):
d = _make_resource_dict()
result = resource_to_dict(d)
assert result is d # 同一个 dict
# ============ vessel_parser 兼容性测试 ============
class TestVesselParser:
"""测试 vessel_parser.get_vessel 对 ResourceDictInstance 的兼容"""
def test_get_vessel_from_dict(self):
d = _make_resource_dict(id="reactor_01", data={"temperature": 25.0})
vessel_id, vessel_data = get_vessel(d)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_get_vessel_from_string(self):
vessel_id, vessel_data = get_vessel("reactor_01")
assert vessel_id == "reactor_01"
assert vessel_data == {}
def test_get_vessel_from_resource_instance(self):
inst = _make_resource_instance(id="reactor_01", data={"temperature": 25.0})
vessel_id, vessel_data = get_vessel(inst)
assert vessel_id == "reactor_01"
assert vessel_data["temperature"] == 25.0
def test_get_vessel_from_wrapped_dict(self):
"""兼容 {station_id: {id: ..., data: {...}}} 格式"""
d = {"StationA": {"id": "StationA", "data": {"vol": 100}}}
vessel_id, vessel_data = get_vessel(d)
assert vessel_id == "StationA"
# ============ ResourceTreeSet → get_plr_nested_dict 测试 ============
class TestResourceTreeRoundTrip:
"""测试 ResourceTreeSet → get_plr_nested_dict 保留树结构和关键字段"""
def test_tree_preserves_children(self):
tree_set = _make_tree_with_children()
assert len(tree_set.trees) == 1
root = tree_set.trees[0].root_node
assert root.res_content.id == "StationA"
assert len(root.children) == 2
def test_plr_nested_dict_has_children(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert isinstance(nested, dict)
assert "children" in nested
assert isinstance(nested["children"], dict)
assert "R1" in nested["children"]
assert "R2" in nested["children"]
def test_plr_nested_dict_preserves_uuid(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert nested["uuid"] == "uuid-station-a"
assert nested["children"]["R1"]["uuid"] == "uuid-r1"
def test_plr_nested_dict_preserves_klass(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert nested["class"] == "workstation"
def test_plr_nested_dict_preserves_data(self):
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
r1_data = nested["children"]["R1"]["data"]
assert "liquid" in r1_data
assert r1_data["liquid"][0]["volume"] == 10.0
def test_plr_nested_dict_usable_by_get_vessel(self):
"""get_plr_nested_dict 的结果可以直接传给 get_vessel"""
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
vessel_id, vessel_data = get_vessel(nested)
assert vessel_id == "StationA"
def test_dump_vs_plr_nested_dict(self):
"""dump() 是扁平化的get_plr_nested_dict 保留树结构"""
tree_set = _make_tree_with_children()
# dump 返回扁平列表
dumped = tree_set.dump()
assert isinstance(dumped[0], list)
assert len(dumped[0]) == 3 # StationA + R1 + R2全部扁平
# get_plr_nested_dict 保留嵌套
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
assert isinstance(nested["children"], dict)
assert len(nested["children"]) == 2 # 嵌套的 children
# ============ 模拟 workstation 路径测试 ============
class TestWorkstationPath:
"""模拟 workstation.py 中的关键路径:
raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → compiler
"""
def test_single_resource_path(self):
"""单个 Resource: 取第一棵树的根节点"""
raw_data = [
_make_resource_dict(id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer"),
]
tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
root = tree_set.trees[0].root_node
result = root.get_plr_nested_dict()
assert result["id"] == "reactor_01"
assert result["uuid"] == "uuid-r01"
assert result["class"] == "virtual_stirrer"
def test_resource_with_children_path(self):
"""Resource 带 children: AGV/batch transfer 场景"""
tree_set = _make_tree_with_children()
root = tree_set.trees[0].root_node
nested = root.get_plr_nested_dict()
# 模拟编译器接收到的参数
from_repo = {"StationA": nested}
assert "A01" not in from_repo["StationA"]["children"] # children 按 id 索引
assert "R1" in from_repo["StationA"]["children"]
assert from_repo["StationA"]["children"]["R1"]["uuid"] == "uuid-r1"
def test_multiple_resource_path(self):
"""多个 Resource: 每棵树取根节点"""
raw_data1 = [_make_resource_dict(id="R1", uuid="uuid-r1")]
raw_data2 = [_make_resource_dict(id="R2", uuid="uuid-r2")]
# 模拟 host 返回多棵树
tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
results = [
tree.root_node.get_plr_nested_dict()
for ts in [tree_set1, tree_set2]
for tree in ts.trees
]
assert len(results) == 2
assert results[0]["id"] == "R1"
assert results[1]["id"] == "R2"

View File

@@ -1,15 +0,0 @@
# Liquid handling 集成测试
`test_transfer_liquid.py` 现在会调用 PRCXI 的 RViz 仿真 backend运行前请确保
1. 已安装包含 `pylabrobot``rclpy` 的运行环境;
2. 启动 ROS 依赖(`rviz` 可选,但是 `rviz_backend` 会创建 ROS 节点);
3. 在 shell 中设置 `UNILAB_SIM_TEST=1`,否则 pytest 会自动跳过这些慢速用例:
```bash
export UNILAB_SIM_TEST=1
pytest tests/devices/liquid_handling/test_transfer_liquid.py -m slow
```
如果只需验证逻辑层(不依赖仿真),可以直接运行 `tests/devices/liquid_handling/unit_test.py`,该文件使用 Fake backend适合作为 CI 的快速测试。***

View File

@@ -39,11 +39,6 @@ class FakeLiquidHandler(LiquidHandlerAbstract):
self.current_tip = iter(make_tip_iter())
self.calls: List[Tuple[str, Any]] = []
def set_tiprack(self, tip_racks):
if not tip_racks:
return
super().set_tiprack(tip_racks)
async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **backend_kwargs):
self.calls.append(("pick_up_tips", {"tips": list(tip_spots), "use_channels": use_channels}))

View File

@@ -1,608 +0,0 @@
import asyncio
from dataclasses import dataclass
from typing import Any, Iterable, List, Optional, Sequence, Tuple
import pytest
from unilabos.devices.liquid_handling.liquid_handler_abstract import LiquidHandlerAbstract
@dataclass(frozen=True)
class DummyContainer:
name: str
def __repr__(self) -> str: # pragma: no cover
return f"DummyContainer({self.name})"
@dataclass(frozen=True)
class DummyTipSpot:
name: str
def __repr__(self) -> str: # pragma: no cover
return f"DummyTipSpot({self.name})"
def make_tip_iter(n: int = 256) -> Iterable[List[DummyTipSpot]]:
"""Yield lists so code can safely call `tip.extend(next(self.current_tip))`."""
for i in range(n):
yield [DummyTipSpot(f"tip_{i}")]
class FakeLiquidHandler(LiquidHandlerAbstract):
"""不初始化真实 backend/deck仅用来记录 transfer_liquid 内部调用序列。"""
def __init__(self, channel_num: int = 8):
# 不调用 super().__init__避免真实硬件/后端依赖
self.channel_num = channel_num
self.support_touch_tip = True
self.current_tip = iter(make_tip_iter())
self.calls: List[Tuple[str, Any]] = []
def set_tiprack(self, tip_racks):
# transfer_liquid 总会调用 set_tiprack测试用 Dummy 枪头时 tip_racks 为空,需保留自种子的 current_tip
if not tip_racks:
return
super().set_tiprack(tip_racks)
async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **backend_kwargs):
self.calls.append(("pick_up_tips", {"tips": list(tip_spots), "use_channels": use_channels}))
async def aspirate(
self,
resources: Sequence[Any],
vols: List[float],
use_channels: Optional[List[int]] = None,
flow_rates: Optional[List[Optional[float]]] = None,
offsets: Any = None,
liquid_height: Any = None,
blow_out_air_volume: Any = None,
spread: str = "wide",
**backend_kwargs,
):
self.calls.append(
(
"aspirate",
{
"resources": list(resources),
"vols": list(vols),
"use_channels": list(use_channels) if use_channels is not None else None,
"flow_rates": list(flow_rates) if flow_rates is not None else None,
"offsets": list(offsets) if offsets is not None else None,
"liquid_height": list(liquid_height) if liquid_height is not None else None,
"blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
},
)
)
async def dispense(
self,
resources: Sequence[Any],
vols: List[float],
use_channels: Optional[List[int]] = None,
flow_rates: Optional[List[Optional[float]]] = None,
offsets: Any = None,
liquid_height: Any = None,
blow_out_air_volume: Any = None,
spread: str = "wide",
**backend_kwargs,
):
self.calls.append(
(
"dispense",
{
"resources": list(resources),
"vols": list(vols),
"use_channels": list(use_channels) if use_channels is not None else None,
"flow_rates": list(flow_rates) if flow_rates is not None else None,
"offsets": list(offsets) if offsets is not None else None,
"liquid_height": list(liquid_height) if liquid_height is not None else None,
"blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
},
)
)
async def discard_tips(self, use_channels=None, *args, **kwargs):
# 有的分支是 discard_tips(use_channels=[0]),有的分支是 discard_tips([0..7])(位置参数)
self.calls.append(("discard_tips", {"use_channels": list(use_channels) if use_channels is not None else None}))
async def custom_delay(self, seconds=0, msg=None):
self.calls.append(("custom_delay", {"seconds": seconds, "msg": msg}))
async def touch_tip(self, targets):
# 原实现会访问 targets.get_size_x() 等;测试里只记录调用
self.calls.append(("touch_tip", {"targets": targets}))
def run(coro):
return asyncio.run(coro)
def test_one_to_one_single_channel_basic_calls():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(64))
sources = [DummyContainer(f"S{i}") for i in range(3)]
targets = [DummyContainer(f"T{i}") for i in range(3)]
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=[0],
asp_vols=[1, 2, 3],
dis_vols=[4, 5, 6],
mix_times=None, # 应该仍能执行(不 mix
)
)
assert [c[0] for c in lh.calls].count("pick_up_tips") == 3
assert [c[0] for c in lh.calls].count("aspirate") == 3
assert [c[0] for c in lh.calls].count("dispense") == 3
assert [c[0] for c in lh.calls].count("discard_tips") == 3
# 每次 aspirate/dispense 都是单孔列表
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
assert aspirates[0]["resources"] == [sources[0]]
assert aspirates[0]["vols"] == [1.0]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert dispenses[2]["resources"] == [targets[2]]
assert dispenses[2]["vols"] == [6.0]
def test_one_to_one_single_channel_before_stage_mixes_prior_to_aspirate():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(16))
source = DummyContainer("S0")
target = DummyContainer("T0")
run(
lh.transfer_liquid(
sources=[source],
targets=[target],
tip_racks=[],
use_channels=[0],
asp_vols=[5],
dis_vols=[5],
mix_stage="before",
mix_times=1,
mix_vol=3,
)
)
aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
assert len(aspirate_calls) >= 2
mix_idx, mix_payload = aspirate_calls[0]
assert mix_payload["resources"] == [target]
assert mix_payload["vols"] == [3]
transfer_idx, transfer_payload = aspirate_calls[1]
assert transfer_payload["resources"] == [source]
assert mix_idx < transfer_idx
def test_one_to_one_eight_channel_groups_by_8():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(256))
sources = [DummyContainer(f"S{i}") for i in range(16)]
targets = [DummyContainer(f"T{i}") for i in range(16)]
asp_vols = list(range(1, 17))
dis_vols = list(range(101, 117))
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=list(range(8)),
asp_vols=asp_vols,
dis_vols=dis_vols,
mix_times=0, # 触发逻辑但不 mix
)
)
# 16 个任务 -> 2 组,每组 8 通道一起做
assert [c[0] for c in lh.calls].count("pick_up_tips") == 2
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert len(aspirates) == 2
assert len(dispenses) == 2
assert aspirates[0]["resources"] == sources[0:8]
assert aspirates[0]["vols"] == [float(v) for v in asp_vols[0:8]]
assert dispenses[1]["resources"] == targets[8:16]
assert dispenses[1]["vols"] == [float(v) for v in dis_vols[8:16]]
def test_one_to_one_eight_channel_requires_multiple_of_8_targets():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(64))
sources = [DummyContainer(f"S{i}") for i in range(9)]
targets = [DummyContainer(f"T{i}") for i in range(9)]
with pytest.raises(ValueError, match="multiple of 8"):
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=list(range(8)),
asp_vols=[1] * 9,
dis_vols=[1] * 9,
mix_times=0,
)
)
def test_one_to_one_eight_channel_parameter_lists_are_chunked_per_8():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(512))
sources = [DummyContainer(f"S{i}") for i in range(16)]
targets = [DummyContainer(f"T{i}") for i in range(16)]
asp_vols = [i + 1 for i in range(16)]
dis_vols = [200 + i for i in range(16)]
asp_flow_rates = [0.1 * (i + 1) for i in range(16)]
dis_flow_rates = [0.2 * (i + 1) for i in range(16)]
offsets = [f"offset_{i}" for i in range(16)]
liquid_heights = [i * 0.5 for i in range(16)]
blow_out_air_volume = [i + 0.05 for i in range(16)]
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=list(range(8)),
asp_vols=asp_vols,
dis_vols=dis_vols,
asp_flow_rates=asp_flow_rates,
dis_flow_rates=dis_flow_rates,
offsets=offsets,
liquid_height=liquid_heights,
blow_out_air_volume=blow_out_air_volume,
mix_times=0,
)
)
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert len(aspirates) == len(dispenses) == 2
for batch_idx in range(2):
start = batch_idx * 8
end = start + 8
asp_call = aspirates[batch_idx]
dis_call = dispenses[batch_idx]
assert asp_call["resources"] == sources[start:end]
assert asp_call["flow_rates"] == asp_flow_rates[start:end]
assert asp_call["offsets"] == offsets[start:end]
assert asp_call["liquid_height"] == liquid_heights[start:end]
assert asp_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
assert dis_call["flow_rates"] == dis_flow_rates[start:end]
assert dis_call["offsets"] == offsets[start:end]
assert dis_call["liquid_height"] == liquid_heights[start:end]
assert dis_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
def test_one_to_one_eight_channel_handles_32_tasks_four_batches():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(1024))
sources = [DummyContainer(f"S{i}") for i in range(32)]
targets = [DummyContainer(f"T{i}") for i in range(32)]
asp_vols = [i + 1 for i in range(32)]
dis_vols = [300 + i for i in range(32)]
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=list(range(8)),
asp_vols=asp_vols,
dis_vols=dis_vols,
mix_times=0,
)
)
pick_calls = [name for name, _ in lh.calls if name == "pick_up_tips"]
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert len(pick_calls) == 4
assert len(aspirates) == len(dispenses) == 4
assert aspirates[0]["resources"] == sources[0:8]
assert aspirates[-1]["resources"] == sources[24:32]
assert dispenses[0]["resources"] == targets[0:8]
assert dispenses[-1]["resources"] == targets[24:32]
def test_one_to_many_single_channel_aspirates_total_when_asp_vol_too_small():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(64))
source = DummyContainer("SRC")
targets = [DummyContainer(f"T{i}") for i in range(3)]
dis_vols = [10, 20, 30] # sum=60
run(
lh.transfer_liquid(
sources=[source],
targets=targets,
tip_racks=[],
use_channels=[0],
asp_vols=10, # 小于 sum(dis_vols) -> 应吸 60
dis_vols=dis_vols,
mix_times=0,
)
)
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
assert len(aspirates) == 1
assert aspirates[0]["resources"] == [source]
assert aspirates[0]["vols"] == [60.0]
assert aspirates[0]["use_channels"] == [0]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert [d["vols"][0] for d in dispenses] == [10.0, 20.0, 30.0]
def test_one_to_many_eight_channel_basic():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(128))
source = DummyContainer("SRC")
targets = [DummyContainer(f"T{i}") for i in range(8)]
dis_vols = [i + 1 for i in range(8)]
run(
lh.transfer_liquid(
sources=[source],
targets=targets,
tip_racks=[],
use_channels=list(range(8)),
asp_vols=999, # one-to-many 8ch 会按 dis_vols 吸(每通道各自)
dis_vols=dis_vols,
mix_times=0,
)
)
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
assert aspirates[0]["resources"] == [source] * 8
assert aspirates[0]["vols"] == [float(v) for v in dis_vols]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert dispenses[0]["resources"] == targets
assert dispenses[0]["vols"] == [float(v) for v in dis_vols]
def test_many_to_one_single_channel_standard_dispense_equals_asp_by_default():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(128))
sources = [DummyContainer(f"S{i}") for i in range(3)]
target = DummyContainer("T")
asp_vols = [5, 6, 7]
run(
lh.transfer_liquid(
sources=sources,
targets=[target],
tip_racks=[],
use_channels=[0],
asp_vols=asp_vols,
dis_vols=1, # many-to-one 允许标量;非比例模式下实际每次分液=对应 asp_vol
mix_times=0,
)
)
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert [d["vols"][0] for d in dispenses] == [float(v) for v in asp_vols]
assert all(d["resources"] == [target] for d in dispenses)
def test_many_to_one_single_channel_before_stage_mixes_target_once():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(128))
sources = [DummyContainer("S0"), DummyContainer("S1")]
target = DummyContainer("T")
run(
lh.transfer_liquid(
sources=sources,
targets=[target],
tip_racks=[],
use_channels=[0],
asp_vols=[5, 6],
dis_vols=1,
mix_stage="before",
mix_times=2,
mix_vol=4,
)
)
aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
assert len(aspirate_calls) >= 1
mix_idx, mix_payload = aspirate_calls[0]
assert mix_payload["resources"] == [target]
assert mix_payload["vols"] == [4]
# 第一個 mix 之後會真正開始吸 source
assert any(call["resources"] == [sources[0]] for _, call in aspirate_calls[1:])
def test_many_to_one_single_channel_proportional_mixing_uses_dis_vols_per_source():
lh = FakeLiquidHandler(channel_num=1)
lh.current_tip = iter(make_tip_iter(128))
sources = [DummyContainer(f"S{i}") for i in range(3)]
target = DummyContainer("T")
asp_vols = [5, 6, 7]
dis_vols = [1, 2, 3]
run(
lh.transfer_liquid(
sources=sources,
targets=[target],
tip_racks=[],
use_channels=[0],
asp_vols=asp_vols,
dis_vols=dis_vols, # 比例模式
mix_times=0,
)
)
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert [d["vols"][0] for d in dispenses] == [float(v) for v in dis_vols]
def test_many_to_one_eight_channel_basic():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(256))
sources = [DummyContainer(f"S{i}") for i in range(8)]
target = DummyContainer("T")
asp_vols = [10 + i for i in range(8)]
run(
lh.transfer_liquid(
sources=sources,
targets=[target],
tip_racks=[],
use_channels=list(range(8)),
asp_vols=asp_vols,
dis_vols=999, # 非比例模式下每通道分液=对应 asp_vol
mix_times=0,
)
)
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert aspirates[0]["resources"] == sources
assert aspirates[0]["vols"] == [float(v) for v in asp_vols]
assert dispenses[0]["resources"] == [target] * 8
assert dispenses[0]["vols"] == [float(v) for v in asp_vols]
def test_transfer_liquid_mode_detection_unsupported_shape_raises():
lh = FakeLiquidHandler(channel_num=8)
lh.current_tip = iter(make_tip_iter(64))
sources = [DummyContainer("S0"), DummyContainer("S1")]
targets = [DummyContainer("T0"), DummyContainer("T1"), DummyContainer("T2")]
with pytest.raises(ValueError, match="Unsupported transfer mode"):
run(
lh.transfer_liquid(
sources=sources,
targets=targets,
tip_racks=[],
use_channels=[0],
asp_vols=[1, 1],
dis_vols=[1, 1, 1],
mix_times=0,
)
)
def test_mix_single_target_produces_matching_cycles():
lh = FakeLiquidHandler(channel_num=1)
target = DummyContainer("T_mix")
run(lh.mix(targets=[target], mix_time=2, mix_vol=5))
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
assert len(aspirates) == len(dispenses) == 2
assert all(call["resources"] == [target] for call in aspirates)
assert all(call["vols"] == [5] for call in aspirates)
assert all(call["resources"] == [target] for call in dispenses)
assert all(call["vols"] == [5] for call in dispenses)
def test_mix_multiple_targets_supports_per_target_offsets():
lh = FakeLiquidHandler(channel_num=1)
targets = [DummyContainer("T0"), DummyContainer("T1")]
offsets = ["left", "right"]
heights = [0.1, 0.2]
rates = [0.5, 1.0]
run(
lh.mix(
targets=targets,
mix_time=1,
mix_vol=3,
offsets=offsets,
height_to_bottom=heights,
mix_rate=rates,
)
)
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
assert len(aspirates) == 2
assert aspirates[0]["resources"] == [targets[0]]
assert aspirates[0]["offsets"] == [offsets[0]]
assert aspirates[0]["liquid_height"] == [heights[0]]
assert aspirates[0]["flow_rates"] == [rates[0]]
assert aspirates[1]["resources"] == [targets[1]]
assert aspirates[1]["offsets"] == [offsets[1]]
assert aspirates[1]["liquid_height"] == [heights[1]]
assert aspirates[1]["flow_rates"] == [rates[1]]
def test_set_tiprack_per_type_resumes_first_physical_rack():
"""同型号多次 set_tiprack 时接续第一盒剩余孔位,而非从新盒 A1 开始。"""
from pylabrobot.liquid_handling import LiquidHandlerChatterboxBackend
from pylabrobot.resources import Deck, Tip, TipRack, TipSpot, create_equally_spaced
mk = lambda: Tip(
has_filter=False, total_tip_length=10.0, maximal_volume=300.0, fitting_depth=2.0
)
class TipTypeAlpha(TipRack):
pass
class TipTypeBeta(TipRack):
pass
def make_rack(cls: type, name: str) -> TipRack:
items = create_equally_spaced(
TipSpot,
num_items_x=12,
num_items_y=2,
dx=0,
dy=0,
dz=0,
item_dx=9,
item_dy=9,
size_x=1,
size_y=1,
make_tip=mk,
)
return cls(name, 120, 40, 10, items=items)
rack1 = make_rack(TipTypeAlpha, "rack_phys_1")
rack2 = make_rack(TipTypeBeta, "rack_phys_2")
rack3 = make_rack(TipTypeAlpha, "rack_phys_3")
lh = LiquidHandlerAbstract(
LiquidHandlerChatterboxBackend(1), Deck(), channel_num=1, simulator=False
)
flat1 = lh._flatten_tips_from_one(rack1)
assert len(flat1) == 24
lh.set_tiprack([rack1])
for i in range(12):
assert lh._get_next_tip() is flat1[i]
lh.set_tiprack([rack2])
spot_b = lh._get_next_tip()
assert "rack_phys_2" in spot_b.name
lh.set_tiprack([rack3])
spot_resume = lh._get_next_tip()
assert spot_resume is flat1[12], "第三次同型号应接续 rack1 第二行首孔,而非 rack3 首孔"
assert spot_resume is not lh._flatten_tips_from_one(rack3)[0]

View File

@@ -0,0 +1,137 @@
"""
AGVTransportStation driver 测试
覆盖初始化、carrier property、slot 查询、路由查询、capacity 计算。
"""
import pytest
from unittest.mock import MagicMock, patch
from unilabos.devices.transport.agv_workstation import AGVTransportStation
from unilabos.resources.warehouse import WareHouse, warehouse_factory
class TestAGVTransportStation:
def _make_driver(self, route_table=None, device_roles=None):
"""创建一个 AGVTransportStation 实例"""
return AGVTransportStation(
deck=None,
route_table=route_table or {
"A->B": {"nav_command": '{"target":"LM1"}', "arm_pick": "pick.urp", "arm_place": "place.urp"}
},
device_roles=device_roles or {"navigator": "agv_nav", "arm": "agv_arm"},
)
def _make_warehouse(self, name="agv_platform", nx=2, ny=1, nz=1):
"""创建一个测试用 Warehouse"""
return warehouse_factory(name=name, num_items_x=nx, num_items_y=ny, num_items_z=nz)
def test_init_deck_none(self):
"""AGVTransportStation 初始化时 deck=None"""
driver = self._make_driver()
assert driver.deck is None
def test_init_route_table(self):
"""路由表正确存储"""
driver = self._make_driver()
assert "A->B" in driver.route_table
def test_init_device_roles(self):
"""设备角色正确存储"""
driver = self._make_driver()
assert driver.device_roles["navigator"] == "agv_nav"
assert driver.device_roles["arm"] == "agv_arm"
def test_carrier_without_ros_node(self):
"""未 post_init 时 carrier 返回 None"""
driver = self._make_driver()
assert driver.carrier is None
def test_carrier_with_warehouse(self):
"""post_init 后 carrier 返回正确的 WareHouse"""
driver = self._make_driver()
wh = self._make_warehouse()
# 模拟 ros_node 和 resource_tracker
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.carrier is wh
assert isinstance(driver.carrier, WareHouse)
def test_capacity(self):
"""容量计算正确"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.capacity == 2
def test_capacity_multi_layer(self):
"""多层 Warehouse 容量"""
driver = self._make_driver()
wh = self._make_warehouse(nx=1, ny=2, nz=3)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert driver.capacity == 6
def test_capacity_no_carrier(self):
"""无 carrier 时容量为 0"""
driver = self._make_driver()
assert driver.capacity == 0
def test_free_slots(self):
"""空载时所有 slot 为空闲"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
free = driver.free_slots
assert len(free) == 2
def test_occupied_slots_empty(self):
"""空载时 occupied_slots 为空"""
driver = self._make_driver()
wh = self._make_warehouse(nx=2, ny=1, nz=1)
mock_ros_node = MagicMock()
mock_ros_node.resource_tracker.resources = [wh]
mock_ros_node.device_id = "AGV"
driver.post_init(mock_ros_node)
assert len(driver.occupied_slots) == 0
def test_resolve_route(self):
"""路由查询返回正确的指令"""
driver = self._make_driver()
route = driver.resolve_route("A", "B")
assert route["nav_command"] == '{"target":"LM1"}'
assert route["arm_pick"] == "pick.urp"
def test_resolve_route_not_found(self):
"""查询不存在的路线时抛出 KeyError"""
driver = self._make_driver()
with pytest.raises(KeyError, match="路由表"):
driver.resolve_route("X", "Y")
def test_get_device_id(self):
"""获取子设备 ID"""
driver = self._make_driver()
assert driver.get_device_id("navigator") == "agv_nav"
assert driver.get_device_id("arm") == "agv_arm"
def test_get_device_id_not_found(self):
"""获取不存在的角色时抛出 KeyError"""
driver = self._make_driver()
with pytest.raises(KeyError, match="未配置设备角色"):
driver.get_device_id("gripper")

View File

@@ -1 +1 @@
__version__ = "0.11.1"
__version__ = "0.10.19"

6
unilabos/__main__.py Normal file
View File

@@ -0,0 +1,6 @@
"""Entry point for `python -m unilabos`."""
from unilabos.app.main import main
if __name__ == "__main__":
main()

View File

@@ -12,15 +12,6 @@ from typing import Dict, Any, List
import networkx as nx
import yaml
# Windows 中文系统 stdout 默认 GBK无法编码 banner / emoji 日志中的 Unicode 字符
# 强制 stdout/stderr 用 UTF-8避免 print 触发 UnicodeEncodeError 导致进程崩溃
if sys.platform == "win32":
for _stream in (sys.stdout, sys.stderr):
try:
_stream.reconfigure(encoding="utf-8", errors="replace") # type: ignore[attr-defined]
except (AttributeError, OSError):
pass
# 首先添加项目根目录到路径
current_dir = os.path.dirname(os.path.abspath(__file__))
unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
@@ -242,7 +233,7 @@ def parse_args():
parser.add_argument(
"--addr",
type=str,
default="https://leap-lab.bohrium.com/api/v1",
default="https://uni-lab.bohrium.com/api/v1",
help="Laboratory backend address",
)
parser.add_argument(
@@ -447,10 +438,10 @@ def main():
if args.addr != parser.get_default("addr"):
if args.addr == "test":
print_status("使用测试环境地址", "info")
HTTPConfig.remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://uni-lab.test.bohrium.com/api/v1"
elif args.addr == "uat":
print_status("使用uat环境地址", "info")
HTTPConfig.remote_addr = "https://leap-lab.uat.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
elif args.addr == "local":
print_status("使用本地环境地址", "info")
HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
@@ -562,8 +553,13 @@ def main():
os._exit(0)
if not BasicConfig.ak or not BasicConfig.sk:
print_status("后续运行必须拥有一个实验室,请前往 https://leap-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
if BasicConfig.test_mode:
print_status("测试模式:跳过 ak/sk 检查,使用占位凭据", "warning")
BasicConfig.ak = BasicConfig.ak or "test_ak"
BasicConfig.sk = BasicConfig.sk or "test_sk"
else:
print_status("后续运行必须拥有一个实验室,请前往 https://uni-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
graph: nx.Graph
resource_tree_set: ResourceTreeSet
resource_links: List[Dict[str, Any]]

View File

@@ -36,9 +36,6 @@ class HTTPClient:
auth_secret = BasicConfig.auth_secret()
self.auth = auth_secret
info(f"正在使用ak sk作为授权信息[{auth_secret}]")
# 复用 TCP/TLS 连接,避免每次请求重新握手
self._session = requests.Session()
self._session.headers.update({"Authorization": f"Lab {self.auth}"})
info(f"HTTPClient 初始化完成: remote_addr={self.remote_addr}")
def resource_edge_add(self, resources: List[Dict[str, Any]]) -> requests.Response:
@@ -51,7 +48,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material/edge",
json={
"edges": resources,
@@ -78,28 +75,25 @@ class HTTPClient:
Returns:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
# dump() 只调用一次,复用给文件保存和 HTTP 请求
nodes_info = [x for xs in resources.dump() for x in xs]
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧UUID
old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
payload = {"nodes": nodes_info, "mount_uuid": mount_uuid}
body_bytes = _fast_dumps(payload)
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "wb") as f:
f.write(_fast_dumps_pretty(payload))
http_headers = {"Content-Type": "application/json"}
if not self.initialized or first_add:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material",
data=body_bytes,
headers=http_headers,
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
timeout=60,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/edge/material",
data=body_bytes,
headers=http_headers,
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
timeout=10,
)
@@ -117,7 +111,6 @@ class HTTPClient:
uuid_mapping[i["uuid"]] = i["cloud_uuid"]
else:
logger.error(f"添加物料失败: {response.text}")
logger.trace(f"添加物料失败: {nodes_info}")
for u, n in old_uuids.items():
if u in uuid_mapping:
n.res_content.uuid = uuid_mapping[u]
@@ -138,7 +131,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"uuids": uuid_list, "with_children": with_children}, indent=4))
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/edge/material/query",
json={"uuids": uuid_list, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -152,7 +145,6 @@ class HTTPClient:
logger.error(f"查询物料失败: {response.text}")
else:
data = res["data"]["nodes"]
logger.trace(f"resource_tree_get查询到物料: {data}")
return data
else:
logger.error(f"查询物料失败: {response.text}")
@@ -170,14 +162,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -204,7 +196,7 @@ class HTTPClient:
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_get.json"), "w", encoding="utf-8") as f:
f.write(json.dumps({"id": id, "with_children": with_children}, indent=4))
response = self._session.get(
response = requests.get(
f"{self.remote_addr}/lab/material",
params={"id": id, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -245,14 +237,14 @@ class HTTPClient:
if not self.initialized:
self.initialized = True
info(f"首次添加资源,当前远程地址: {self.remote_addr}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = self._session.put(
response = requests.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -282,7 +274,7 @@ class HTTPClient:
with open(file_path, "rb") as file:
files = {"files": file}
logger.info(f"上传文件: {file_path}{scene}")
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/api/account/file_upload/{scene}",
files=files,
headers={"Authorization": f"Lab {self.auth}"},
@@ -322,7 +314,7 @@ class HTTPClient:
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers=headers,
@@ -356,7 +348,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = self._session.get(
response = requests.get(
f"{self.remote_addr}/edge/material/download",
headers={"Authorization": f"Lab {self.auth}"},
timeout=(3, 30),
@@ -417,7 +409,7 @@ class HTTPClient:
with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
f.write(json.dumps(payload, indent=4, ensure_ascii=False))
response = self._session.post(
response = requests.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},

View File

@@ -58,14 +58,14 @@ class JobResultStore:
feedback=feedback or {},
timestamp=time.time(),
)
logger.debug(f"[JobResultStore] Stored result for job {job_id[:8]}, status={status}")
logger.trace(f"[JobResultStore] Stored result for job {job_id[:8]}, status={status}")
def get_and_remove(self, job_id: str) -> Optional[JobResult]:
"""获取并删除任务结果"""
with self._results_lock:
result = self._results.pop(job_id, None)
if result:
logger.debug(f"[JobResultStore] Retrieved and removed result for job {job_id[:8]}")
logger.trace(f"[JobResultStore] Retrieved and removed result for job {job_id[:8]}")
return result
def get_result(self, job_id: str) -> Optional[JobResult]:

View File

@@ -1113,7 +1113,7 @@ class MessageProcessor:
"task_id": task_id,
"job_id": job_id,
"free": free,
"need_more": need_more + 1,
"need_more": need_more,
},
}
@@ -1253,7 +1253,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10 + 1,
"need_more": 10,
},
}
self.message_processor.send_message(message)
@@ -1269,13 +1269,7 @@ class QueueProcessor:
if not queued_jobs:
return
queue_summary = {}
for j in queued_jobs:
key = f"{j.device_id}/{j.action_name}"
queue_summary[key] = queue_summary.get(key, 0) + 1
logger.debug(
f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs: {queue_summary}"
)
logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
for job_info in queued_jobs:
# 快照可能已过期:在遍历过程中 end_job() 可能已将此 job 移至 READY
@@ -1292,7 +1286,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10 + 1,
"need_more": 10,
},
}
success = self.message_processor.send_message(message)
@@ -1375,10 +1369,6 @@ class WebSocketClient(BaseCommunicationClient):
self.message_processor = MessageProcessor(self.websocket_url, self.send_queue, self.device_manager)
self.queue_processor = QueueProcessor(self.device_manager, self.message_processor)
# running状态debounce缓存: {job_id: (last_send_timestamp, last_feedback_data)}
self._job_running_last_sent: Dict[str, tuple] = {}
self._job_running_debounce_interval: float = 10.0 # 秒
# 设置相互引用
self.message_processor.set_queue_processor(self.queue_processor)
self.message_processor.set_websocket_client(self)
@@ -1478,32 +1468,22 @@ class WebSocketClient(BaseCommunicationClient):
logger.debug(f"[WebSocketClient] Not connected, cannot publish job status for job_id: {item.job_id}")
return
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
# 拦截最终结果状态,与原版本逻辑一致
if status in ["success", "failed"]:
self._job_running_last_sent.pop(item.job_id, None)
host_node = HostNode.get_instance(0)
if host_node:
# 从HostNode的device_action_status中移除job_id
try:
host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id, None)
except (KeyError, AttributeError):
logger.warning(f"[WebSocketClient] Failed to remove job {item.job_id} from HostNode status")
# logger.debug(f"[WebSocketClient] Intercepting final status for job_id: {item.job_id} - {status}")
# 通知队列处理器job完成包括timeout的job
self.queue_processor.handle_job_completed(item.job_id, status)
# running状态按job_id做debounce内容变化时仍然上报
if status == "running":
now = time.time()
cached = self._job_running_last_sent.get(item.job_id)
if cached is not None:
last_ts, last_data = cached
if now - last_ts < self._job_running_debounce_interval and last_data == feedback_data:
logger.trace(f"[WebSocketClient] Job status debounced (skip): {job_log} - {status}")
return
self._job_running_last_sent[item.job_id] = (now, feedback_data)
# 发送job状态消息
message = {
"action": "job_status",
"data": {
@@ -1519,6 +1499,7 @@ class WebSocketClient(BaseCommunicationClient):
}
self.message_processor.send_message(message)
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
def send_ping(self, ping_id: str, timestamp: float) -> None:

View File

@@ -5,6 +5,7 @@ from .separate_protocol import generate_separate_protocol
from .evaporate_protocol import generate_evaporate_protocol
from .evacuateandrefill_protocol import generate_evacuateandrefill_protocol
from .agv_transfer_protocol import generate_agv_transfer_protocol
from .batch_transfer_protocol import generate_batch_transfer_protocol
from .add_protocol import generate_add_protocol
from .centrifuge_protocol import generate_centrifuge_protocol
from .filter_protocol import generate_filter_protocol
@@ -31,6 +32,7 @@ from .hydrogenate_protocol import generate_hydrogenate_protocol
action_protocol_generators = {
AddProtocol: generate_add_protocol,
AGVTransferProtocol: generate_agv_transfer_protocol,
BatchTransferProtocol: generate_batch_transfer_protocol,
AdjustPHProtocol: generate_adjust_ph_protocol,
CentrifugeProtocol: generate_centrifuge_protocol,
CleanProtocol: generate_clean_protocol,

View File

@@ -0,0 +1,127 @@
"""
AGV 编译器共用工具函数
从 physical_setup_graph 中发现 AGV 节点配置,
供 agv_transfer_protocol 和 batch_transfer_protocol 复用。
"""
from typing import Any, Dict, List, Optional
import networkx as nx
def find_agv_config(G: nx.Graph, agv_id: Optional[str] = None) -> Dict[str, Any]:
"""从设备图中发现 AGV 节点,返回其配置
查找策略:
1. 如果指定 agv_id直接读取该节点
2. 否则查找 class 为 "agv_transport_station" 的节点
3. 兜底查找 config 中包含 device_roles 的 workstation 节点
Returns:
{
"agv_id": str,
"device_roles": {"navigator": "...", "arm": "..."},
"route_table": {"A->B": {"nav_command": ..., "arm_pick": ..., "arm_place": ...}},
"capacity": int,
}
"""
if agv_id and agv_id in G.nodes:
node_data = G.nodes[agv_id]
config = _extract_config(node_data)
if config and "device_roles" in config:
return _build_agv_cfg(agv_id, config, G)
# 查找 agv_transport_station 类型
for nid, ndata in G.nodes(data=True):
node_class = _get_node_class(ndata)
if node_class == "agv_transport_station":
config = _extract_config(ndata)
return _build_agv_cfg(nid, config or {}, G)
# 兜底:查找带有 device_roles 的 workstation
for nid, ndata in G.nodes(data=True):
node_class = _get_node_class(ndata)
if node_class == "workstation":
config = _extract_config(ndata)
if config and "device_roles" in config:
return _build_agv_cfg(nid, config, G)
raise ValueError("设备图中未找到 AGV 节点(需 class=agv_transport_station 或 config.device_roles")
def get_agv_capacity(G: nx.Graph, agv_id: str) -> int:
"""从 AGV 的 Warehouse 子节点计算载具容量"""
for neighbor in G.successors(agv_id) if G.is_directed() else G.neighbors(agv_id):
ndata = G.nodes[neighbor]
node_type = _get_node_type(ndata)
if node_type == "warehouse":
config = _extract_config(ndata)
if config:
x = config.get("num_items_x", 1)
y = config.get("num_items_y", 1)
z = config.get("num_items_z", 1)
return x * y * z
# 如果没有 warehouse 子节点,尝试从配置中读取
return 0
def split_batches(items: list, capacity: int) -> List[list]:
"""按 AGV 容量分批
Args:
items: 待转运的物料列表
capacity: AGV 单批次容量
Returns:
分批后的列表的列表
"""
if capacity <= 0:
raise ValueError(f"AGV 容量必须 > 0当前: {capacity}")
return [items[i:i + capacity] for i in range(0, len(items), capacity)]
def _extract_config(node_data: dict) -> Optional[dict]:
"""从节点数据中提取 config 字段,兼容多种格式"""
# 直接 config 字段
config = node_data.get("config")
if isinstance(config, dict):
return config
# res_content 嵌套格式
res_content = node_data.get("res_content")
if hasattr(res_content, "config"):
return res_content.config if isinstance(res_content.config, dict) else None
if isinstance(res_content, dict):
return res_content.get("config")
return None
def _get_node_class(node_data: dict) -> str:
"""获取节点的 class 字段"""
res_content = node_data.get("res_content")
if hasattr(res_content, "model_dump"):
d = res_content.model_dump()
return d.get("class_", d.get("class", ""))
if isinstance(res_content, dict):
return res_content.get("class_", res_content.get("class", ""))
return node_data.get("class_", node_data.get("class", ""))
def _get_node_type(node_data: dict) -> str:
"""获取节点的 type 字段"""
res_content = node_data.get("res_content")
if hasattr(res_content, "type"):
return res_content.type or ""
if isinstance(res_content, dict):
return res_content.get("type", "")
return node_data.get("type", "")
def _build_agv_cfg(agv_id: str, config: dict, G: nx.Graph) -> Dict[str, Any]:
"""构建标准化的 AGV 配置"""
return {
"agv_id": agv_id,
"device_roles": config.get("device_roles", {}),
"route_table": config.get("route_table", {}),
"capacity": get_agv_capacity(G, agv_id),
}

View File

@@ -2,20 +2,13 @@ from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.unit_parser import parse_volume_input, parse_mass_input, parse_time_input
from .utils.vessel_parser import get_vessel, find_solid_dispenser, find_connected_stirrer, find_reagent_vessel
from .utils.logger_util import action_log
from .utils.logger_util import action_log, debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[ADD] {message}")
# 🆕 创建进度日志动作
create_action_log = partial(action_log, prefix="[ADD]")

View File

@@ -1,14 +1,12 @@
from functools import partial
import networkx as nx
import logging
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .utils.vessel_parser import get_vessel, find_connected_stirrer
from .utils.logger_util import action_log, debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[ADJUST_PH] {message}")
create_action_log = partial(action_log, prefix="[ADJUST_PH]")
def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
"""
@@ -21,8 +19,6 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
Returns:
str: 试剂容器ID
"""
debug_print(f"🔍 正在查找试剂 '{reagent}' 的容器...")
# 常见酸碱试剂的别名映射
reagent_aliases = {
"hydrochloric acid": ["HCl", "hydrochloric_acid", "hcl", "muriatic_acid"],
@@ -36,17 +32,13 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
# 构建搜索名称列表
search_names = [reagent.lower()]
debug_print(f"📋 基础搜索名称: {reagent.lower()}")
# 添加别名
for base_name, aliases in reagent_aliases.items():
if reagent.lower() in base_name.lower() or base_name.lower() in reagent.lower():
search_names.extend([alias.lower() for alias in aliases])
debug_print(f"🔗 添加别名: {aliases}")
break
debug_print(f"📝 完整搜索列表: {search_names}")
# 构建可能的容器名称
possible_names = []
for name in search_names:
@@ -61,17 +53,15 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
name_clean
])
debug_print(f"🎯 可能的容器名称 (前5个): {possible_names[:5]}... (共{len(possible_names)}个)")
debug_print(f"搜索容器: {len(possible_names)} 个候选名称")
# 第一步:通过容器名称匹配
debug_print(f"📋 方法1: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f"通过名称匹配找到容器: {vessel_name} 🎯")
debug_print(f"通过名称匹配找到容器: {vessel_name}")
return vessel_name
# 第二步:通过模糊匹配
debug_print(f"📋 方法2: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
@@ -79,11 +69,10 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
# 检查是否包含任何搜索名称
for search_name in search_names:
if search_name in node_id.lower() or search_name in node_name:
debug_print(f"通过模糊匹配找到容器: {node_id} 🔍")
debug_print(f"通过模糊匹配找到容器: {node_id}")
return node_id
# 第三步:通过液体类型匹配
debug_print(f"📋 方法3: 液体类型匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
@@ -96,56 +85,15 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
for search_name in search_names:
if search_name in liquid_type or search_name in reagent_name:
debug_print(f"通过液体类型匹配找到容器: {node_id} 💧")
debug_print(f"通过液体类型匹配找到容器: {node_id}")
return node_id
# 列出可用容器帮助调试
debug_print(f"📊 列出可用容器帮助调试...")
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
debug_print(f"📋 可用容器列表:")
for container in available_containers:
debug_print(f" - 🧪 {container['id']}: {container['name']}")
debug_print(f" 💧 液体: {container['liquids']}")
debug_print(f" 🏷️ 试剂: {container['reagent_name']}")
debug_print(f"❌ 所有匹配方法都失败了")
available_containers = [node_id for node_id in G.nodes()
if G.nodes[node_id].get('type') == 'container']
debug_print(f"所有匹配方法失败,可用容器: {available_containers}")
raise ValueError(f"找不到试剂 '{reagent}' 对应的容器。尝试了: {possible_names[:10]}...")
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找与容器相连的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
debug_print(f"📊 发现 {len(stirrer_nodes)} 个搅拌器: {stirrer_nodes}")
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return None
def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume: float = 100.0) -> float:
"""
估算需要的试剂体积来调节pH
@@ -158,44 +106,30 @@ def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume
Returns:
float: 估算的试剂体积 (mL)
"""
debug_print(f"🧮 计算试剂体积...")
debug_print(f" 📍 目标pH: {target_ph_value}")
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" 📏 容器体积: {vessel_volume}mL")
# 简化的pH调节体积估算实际应用中需要更精确的计算
debug_print(f"计算试剂体积: pH={target_ph_value}, reagent={reagent}, vessel={vessel_volume}mL")
# 简化的pH调节体积估算
if "acid" in reagent.lower() or "hcl" in reagent.lower():
debug_print(f"🍋 检测到酸性试剂")
# 酸性试剂pH越低需要的体积越大
if target_ph_value < 3:
volume = vessel_volume * 0.05 # 5%
debug_print(f" 💪 强酸性 (pH<3): 使用 5% 体积")
volume = vessel_volume * 0.05
elif target_ph_value < 5:
volume = vessel_volume * 0.02 # 2%
debug_print(f" 🔸 中酸性 (pH<5): 使用 2% 体积")
volume = vessel_volume * 0.02
else:
volume = vessel_volume * 0.01 # 1%
debug_print(f" 🔹 弱酸性 (pH≥5): 使用 1% 体积")
volume = vessel_volume * 0.01
elif "hydroxide" in reagent.lower() or "naoh" in reagent.lower():
debug_print(f"🧂 检测到碱性试剂")
# 碱性试剂pH越高需要的体积越大
if target_ph_value > 11:
volume = vessel_volume * 0.05 # 5%
debug_print(f" 💪 强碱性 (pH>11): 使用 5% 体积")
volume = vessel_volume * 0.05
elif target_ph_value > 9:
volume = vessel_volume * 0.02 # 2%
debug_print(f" 🔸 中碱性 (pH>9): 使用 2% 体积")
volume = vessel_volume * 0.02
else:
volume = vessel_volume * 0.01 # 1%
debug_print(f" 🔹 弱碱性 (pH≤9): 使用 1% 体积")
volume = vessel_volume * 0.01
else:
# 未知试剂,使用默认值
volume = vessel_volume * 0.01
debug_print(f"❓ 未知试剂类型,使用默认 1% 体积")
debug_print(f"📊 计算结果: {volume:.2f}mL")
debug_print(f"估算试剂体积: {volume:.2f}mL")
return volume
def generate_adjust_ph_protocol(
@@ -220,96 +154,67 @@ def generate_adjust_ph_protocol(
"""
vessel_id, vessel_data = get_vessel(vessel)
if not vessel_id:
debug_print(f"❌ vessel 参数无效必须包含id字段或直接提供容器ID. vessel: {vessel}")
raise ValueError("vessel 参数无效必须包含id字段或直接提供容器ID")
debug_print("=" * 60)
debug_print("🧪 开始生成pH调节协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 📊 ph_value: {ph_value}")
debug_print(f" 🧪 reagent: '{reagent}'")
debug_print(f" 📦 kwargs: {kwargs}")
debug_print("=" * 60)
debug_print(f"pH调节协议: vessel={vessel_id}, ph={ph_value}, reagent='{reagent}'")
action_sequence = []
# 从kwargs中获取可选参数,如果没有则使用默认值
volume = kwargs.get('volume', 0.0) # 自动估算体积
stir = kwargs.get('stir', True) # 默认搅拌
stir_speed = kwargs.get('stir_speed', 300.0) # 默认搅拌速度
stir_time = kwargs.get('stir_time', 60.0) # 默认搅拌时间
settling_time = kwargs.get('settling_time', 30.0) # 默认平衡时间
debug_print(f"🔧 处理后的参数:")
debug_print(f" 📏 volume: {volume}mL (0.0表示自动估算)")
debug_print(f" 🌪️ stir: {stir}")
debug_print(f" 🔄 stir_speed: {stir_speed}rpm")
debug_print(f" ⏱️ stir_time: {stir_time}s")
debug_print(f" ⏳ settling_time: {settling_time}s")
# 从kwargs中获取可选参数
volume = kwargs.get('volume', 0.0)
stir = kwargs.get('stir', True)
stir_speed = kwargs.get('stir_speed', 300.0)
stir_time = kwargs.get('stir_time', 60.0)
settling_time = kwargs.get('settling_time', 30.0)
# 开始处理
action_sequence.append(create_action_log(f"开始调节pH至 {ph_value}", "🧪"))
action_sequence.append(create_action_log(f"目标容器: {vessel_id}", "🥼"))
action_sequence.append(create_action_log(f"使用试剂: {reagent}", "⚗️"))
# 1. 验证目标容器存在
debug_print(f"🔍 步骤1: 验证目标容器...")
if vessel_id not in G.nodes():
debug_print(f"❌ 目标容器 '{vessel_id}' 不存在于系统中")
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
debug_print(f"✅ 目标容器验证通过")
action_sequence.append(create_action_log("目标容器验证通过", ""))
# 2. 查找酸碱试剂容器
debug_print(f"🔍 步骤2: 查找试剂容器...")
action_sequence.append(create_action_log("正在查找试剂容器...", "🔍"))
try:
reagent_vessel = find_acid_base_vessel(G, reagent)
debug_print(f"✅ 找到试剂容器: {reagent_vessel}")
action_sequence.append(create_action_log(f"找到试剂容器: {reagent_vessel}", "🧪"))
except ValueError as e:
debug_print(f"❌ 无法找到试剂容器: {str(e)}")
action_sequence.append(create_action_log(f"试剂容器查找失败: {str(e)}", ""))
raise ValueError(f"无法找到试剂 '{reagent}': {str(e)}")
# 3. 体积估算
debug_print(f"🔍 步骤3: 体积处理...")
if volume <= 0:
action_sequence.append(create_action_log("开始自动估算试剂体积", "🧮"))
# 获取目标容器的体积信息
vessel_data = G.nodes[vessel_id].get('data', {})
vessel_volume = vessel_data.get('max_volume', 100.0) # 默认100mL
debug_print(f"📏 容器最大体积: {vessel_volume}mL")
vessel_volume = vessel_data.get('max_volume', 100.0)
estimated_volume = calculate_reagent_volume(ph_value, reagent, vessel_volume)
volume = estimated_volume
debug_print(f"✅ 自动估算试剂体积: {volume:.2f} mL")
action_sequence.append(create_action_log(f"估算试剂体积: {volume:.2f}mL", "📊"))
else:
debug_print(f"📏 使用指定体积: {volume}mL")
action_sequence.append(create_action_log(f"使用指定体积: {volume}mL", "📏"))
# 4. 验证路径存在
debug_print(f"🔍 步骤4: 路径验证...")
action_sequence.append(create_action_log("验证转移路径...", "🛤️"))
try:
path = nx.shortest_path(G, source=reagent_vessel, target=vessel_id)
debug_print(f"找到路径: {' '.join(path)}")
action_sequence.append(create_action_log(f"找到转移路径: {''.join(path)}", "🛤️"))
action_sequence.append(create_action_log(f"找到转移路径: {' -> '.join(path)}", "🛤️"))
except nx.NetworkXNoPath:
debug_print(f"❌ 无法找到转移路径")
action_sequence.append(create_action_log("转移路径不存在", ""))
raise ValueError(f"从试剂容器 '{reagent_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
# 5. 搅拌器设置
debug_print(f"🔍 步骤5: 搅拌器设置...")
stirrer_id = None
if stir:
action_sequence.append(create_action_log("准备启动搅拌器", "🌪️"))
@@ -318,7 +223,6 @@ def generate_adjust_ph_protocol(
stirrer_id = find_connected_stirrer(G, vessel_id)
if stirrer_id:
debug_print(f"✅ 找到搅拌器 {stirrer_id},启动搅拌")
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {stir_speed}rpm)", "🔄"))
action_sequence.append({
@@ -338,23 +242,18 @@ def generate_adjust_ph_protocol(
"action_kwargs": {"time": 5}
})
else:
debug_print(f"⚠️ 未找到搅拌器,继续执行")
action_sequence.append(create_action_log("未找到搅拌器,跳过搅拌", "⚠️"))
except Exception as e:
debug_print(f"❌ 搅拌器配置出错: {str(e)}")
action_sequence.append(create_action_log(f"搅拌器配置失败: {str(e)}", ""))
else:
debug_print(f"📋 跳过搅拌设置")
action_sequence.append(create_action_log("跳过搅拌设置", "⏭️"))
# 6. 试剂添加
debug_print(f"🔍 步骤6: 试剂添加...")
action_sequence.append(create_action_log(f"开始添加试剂 {volume:.2f}mL", "🚰"))
# 计算添加时间pH调节需要缓慢添加
addition_time = max(30.0, volume * 2.0) # 至少30秒每mL需要2秒
debug_print(f"⏱️ 计算添加时间: {addition_time}s (缓慢注入)")
addition_time = max(30.0, volume * 2.0)
action_sequence.append(create_action_log(f"设置添加时间: {addition_time:.0f}s (缓慢注入)", "⏱️"))
try:
@@ -377,35 +276,28 @@ def generate_adjust_ph_protocol(
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 泵协议生成完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"试剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 🔧 修复体积运算 - 试剂添加成功后更新容器液体体积
debug_print(f"🔧 更新容器液体体积...")
# 体积运算 - 试剂添加成功后更新容器液体体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
debug_print(f"📊 添加前容器体积: {current_volume}")
# 处理不同的体积数据格式
if isinstance(current_volume, list):
if len(current_volume) > 0:
# 增加体积(添加试剂)
vessel["data"]["liquid_volume"][0] += volume
debug_print(f"📊 添加后容器体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{volume:.2f}mL)")
else:
# 如果列表为空,创建新的体积记录
vessel["data"]["liquid_volume"] = [volume]
debug_print(f"📊 初始化容器体积: {volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
# 直接数值类型
vessel["data"]["liquid_volume"] += volume
debug_print(f"📊 添加后容器体积: {vessel['data']['liquid_volume']:.2f}mL (+{volume:.2f}mL)")
else:
debug_print(f"⚠️ 未知的体积数据格式: {type(current_volume)}")
debug_print(f"未知的体积数据格式: {type(current_volume)}")
# 创建新的体积记录
vessel["data"]["liquid_volume"] = volume
else:
debug_print(f"📊 容器无液体体积数据,创建新记录: {volume:.2f}mL")
# 确保vessel有data字段
if "data" not in vessel:
vessel["data"] = {}
@@ -423,19 +315,16 @@ def generate_adjust_ph_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + volume
debug_print(f"✅ 图节点体积数据已更新")
action_sequence.append(create_action_log(f"容器体积已更新 (+{volume:.2f}mL)", "📊"))
except Exception as e:
debug_print(f"生成泵协议时出错: {str(e)}")
debug_print(f"生成泵协议时出错: {str(e)}")
action_sequence.append(create_action_log(f"泵协议生成失败: {str(e)}", ""))
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 7. 混合搅拌
if stir and stirrer_id:
debug_print(f"🔍 步骤7: 混合搅拌...")
action_sequence.append(create_action_log(f"开始混合搅拌 {stir_time:.0f}s", "🌀"))
action_sequence.append({
@@ -448,14 +337,10 @@ def generate_adjust_ph_protocol(
"purpose": f"pH调节: 混合试剂目标pH={ph_value}"
}
})
debug_print(f"✅ 混合搅拌设置完成")
else:
debug_print(f"⏭️ 跳过混合搅拌")
action_sequence.append(create_action_log("跳过混合搅拌", "⏭️"))
# 8. 等待平衡
debug_print(f"🔍 步骤8: 反应平衡...")
action_sequence.append(create_action_log(f"等待pH平衡 {settling_time:.0f}s", "⚖️"))
action_sequence.append({
@@ -468,17 +353,7 @@ def generate_adjust_ph_protocol(
# 9. 完成总结
total_time = addition_time + stir_time + settling_time
debug_print("=" * 60)
debug_print(f"🎉 pH调节协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time/60:.1f}分钟)")
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" 📏 体积: {volume:.2f}mL")
debug_print(f" 📊 目标pH: {ph_value}")
debug_print(f" 🥼 目标容器: {vessel_id}")
debug_print("=" * 60)
debug_print(f"pH调节协议完成: {len(action_sequence)} 个动作, {total_time:.0f}s, {volume:.2f}mL {reagent}{vessel_id} pH {ph_value}")
# 添加完成日志
summary_msg = f"pH调节协议完成: {vessel_id} → pH {ph_value} (使用 {volume:.2f}mL {reagent})"
@@ -510,28 +385,18 @@ def generate_adjust_ph_protocol_stepwise(
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id = vessel["id"]
debug_print("=" * 60)
debug_print(f"🔄 开始分步pH调节")
debug_print(f"📋 分步参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 📊 ph_value: {ph_value}")
debug_print(f" 🧪 reagent: {reagent}")
debug_print(f" 📏 max_volume: {max_volume}mL")
debug_print(f" 🔢 steps: {steps}")
debug_print("=" * 60)
debug_print(f"分步pH调节: vessel={vessel_id}, ph={ph_value}, reagent={reagent}, max_volume={max_volume}mL, steps={steps}")
action_sequence = []
# 每步添加的体积
step_volume = max_volume / steps
debug_print(f"📊 每步体积: {step_volume:.2f}mL")
action_sequence.append(create_action_log(f"开始分步pH调节 ({steps}步)", "🔄"))
action_sequence.append(create_action_log(f"每步添加: {step_volume:.2f}mL", "📏"))
for i in range(steps):
debug_print(f"🔄 执行第 {i+1}/{steps} 步,添加 {step_volume:.2f}mL")
action_sequence.append(create_action_log(f"{i+1}/{steps} 步开始", "🚀"))
# 生成单步协议
@@ -548,12 +413,10 @@ def generate_adjust_ph_protocol_stepwise(
)
action_sequence.extend(step_actions)
debug_print(f"✅ 第 {i+1}/{steps} 步完成,添加了 {len(step_actions)} 个动作")
action_sequence.append(create_action_log(f"{i+1}/{steps} 步完成", ""))
# 步骤间等待
if i < steps - 1:
debug_print(f"⏳ 步骤间等待30s")
action_sequence.append(create_action_log("步骤间等待...", ""))
action_sequence.append({
"action_name": "wait",
@@ -563,7 +426,7 @@ def generate_adjust_ph_protocol_stepwise(
}
})
debug_print(f"🎉 分步pH调节完成,共 {len(action_sequence)} 个动作")
debug_print(f"分步pH调节完成: {len(action_sequence)} 个动作")
action_sequence.append(create_action_log("分步pH调节全部完成", "🎉"))
return action_sequence
@@ -577,7 +440,7 @@ def generate_acidify_protocol(
) -> List[Dict[str, Any]]:
"""酸化协议"""
vessel_id = vessel["id"]
debug_print(f"🍋 生成酸化协议: {vessel_id} → pH {target_ph} (使用 {acid})")
debug_print(f"酸化协议: {vessel_id} → pH {target_ph} ({acid})")
return generate_adjust_ph_protocol(
G, vessel, target_ph, acid
)
@@ -590,7 +453,7 @@ def generate_basify_protocol(
) -> List[Dict[str, Any]]:
"""碱化协议"""
vessel_id = vessel["id"]
debug_print(f"🧂 生成碱化协议: {vessel_id} → pH {target_ph} (使用 {base})")
debug_print(f"碱化协议: {vessel_id} → pH {target_ph} ({base})")
return generate_adjust_ph_protocol(
G, vessel, target_ph, base
)
@@ -602,7 +465,7 @@ def generate_neutralize_protocol(
) -> List[Dict[str, Any]]:
"""中和协议pH=7"""
vessel_id = vessel["id"]
debug_print(f"⚖️ 生成中和协议: {vessel_id} → pH 7.0 (使用 {reagent})")
debug_print(f"中和协议: {vessel_id} → pH 7.0 ({reagent})")
return generate_adjust_ph_protocol(
G, vessel, 7.0, reagent
)
@@ -610,10 +473,7 @@ def generate_neutralize_protocol(
# 测试函数
def test_adjust_ph_protocol():
"""测试pH调节协议"""
debug_print("=== ADJUST PH PROTOCOL 增强版测试 ===")
# 测试体积计算
debug_print("🧮 测试体积计算...")
test_cases = [
(2.0, "hydrochloric acid", 100.0),
(4.0, "hydrochloric acid", 100.0),
@@ -621,12 +481,12 @@ def test_adjust_ph_protocol():
(10.0, "sodium hydroxide", 100.0),
(7.0, "unknown reagent", 100.0)
]
for ph, reagent, volume in test_cases:
result = calculate_reagent_volume(ph, reagent, volume)
debug_print(f"📊 {reagent} → pH {ph}: {result:.2f}mL")
debug_print("测试完成")
debug_print(f"{reagent} → pH {ph}: {result:.2f}mL")
debug_print("测试完成")
if __name__ == "__main__":
test_adjust_ph_protocol()

View File

@@ -1,4 +1,12 @@
"""
AGV 单物料转运编译器
从 physical_setup_graph 中查询 AGV 配置device_roles, route_table
不再硬编码 device_id 和路由表。
"""
import networkx as nx
from unilabos.compile._agv_utils import find_agv_config
def generate_agv_transfer_protocol(
@@ -17,37 +25,32 @@ def generate_agv_transfer_protocol(
from_repo_id = from_repo_["id"]
to_repo_id = to_repo_["id"]
wf_list = {
("AiChemEcoHiWo", "zhixing_agv"): {"nav_command" : '{"target" : "LM14"}',
"arm_command": '{"task_name" : "camera/250111_biaozhi.urp"}'},
("AiChemEcoHiWo", "AGV"): {"nav_command" : '{"target" : "LM14"}',
"arm_command": '{"task_name" : "camera/250111_biaozhi.urp"}'},
# 从 G 中查询 AGV 配置
agv_cfg = find_agv_config(G)
device_roles = agv_cfg["device_roles"]
route_table = agv_cfg["route_table"]
("zhixing_agv", "Revvity"): {"nav_command" : '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_put_board.urp"}'},
route_key = f"{from_repo_id}->{to_repo_id}"
if route_key not in route_table:
raise KeyError(f"AGV 路由表中未找到路线: {route_key},可用路线: {list(route_table.keys())}")
("AGV", "Revvity"): {"nav_command" : '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_put_board.urp"}'},
route = route_table[route_key]
nav_device = device_roles.get("navigator", device_roles.get("nav"))
arm_device = device_roles.get("arm")
("Revvity", "HPLC"): {"nav_command": '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_hplc.urp"}'},
("HPLC", "Revvity"): {"nav_command": '{"target" : "LM13"}',
"arm_command": '{"task_name" : "camera/250111_lfp.urp"}'},
}
return [
{
"device_id": "zhixing_agv",
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": wf_list[(from_repo_id, to_repo_id)]["nav_command"]
"command": route["nav_command"]
}
},
{
"device_id": "zhixing_ur_arm",
"device_id": arm_device,
"action_name": "move_pos_task",
"action_kwargs": {
"command": wf_list[(from_repo_id, to_repo_id)]["arm_command"]
"command": route.get("arm_command", route.get("arm_place", ""))
}
}
]

View File

@@ -0,0 +1,228 @@
"""
批量物料转运编译器
将 BatchTransferProtocol 编译为多批次的 nav → pick × N → nav → place × N 动作序列。
自动按 AGV 容量分批,全程维护三方 children dict 的物料系统一致性。
"""
import copy
from typing import Any, Dict, List
import networkx as nx
from unilabos.compile._agv_utils import find_agv_config, split_batches
def generate_batch_transfer_protocol(
G: nx.Graph,
from_repo: dict,
to_repo: dict,
transfer_resources: list,
from_positions: list,
to_positions: list,
) -> List[Dict[str, Any]]:
"""编译批量转运协议为可执行的 action steps
Args:
G: 设备图 (physical_setup_graph)
from_repo: 来源工站资源 dict{station_id: {..., children: {...}}}
to_repo: 目标工站资源 dict含堆栈和位置信息
transfer_resources: 被转运的物料列表Resource dict
from_positions: 来源 slot 位置列表(与 transfer_resources 平行)
to_positions: 目标 slot 位置列表(与 transfer_resources 平行)
Returns:
action steps 列表ROS2WorkstationNode 按序执行
"""
if not transfer_resources:
return []
n = len(transfer_resources)
if len(from_positions) != n or len(to_positions) != n:
raise ValueError(
f"transfer_resources({n}), from_positions({len(from_positions)}), "
f"to_positions({len(to_positions)}) 长度不一致"
)
# 组合为内部 transfer_items 便于分批处理
transfer_items = []
for i in range(n):
res = transfer_resources[i] if isinstance(transfer_resources[i], dict) else {}
transfer_items.append({
"resource_id": res.get("id", res.get("name", "")),
"resource_uuid": res.get("sample_id", ""),
"from_position": from_positions[i],
"to_position": to_positions[i],
"resource": res,
})
# 查询 AGV 配置
agv_cfg = find_agv_config(G)
agv_id = agv_cfg["agv_id"]
device_roles = agv_cfg["device_roles"]
route_table = agv_cfg["route_table"]
capacity = agv_cfg["capacity"]
if capacity <= 0:
raise ValueError(f"AGV {agv_id} 容量为 0请检查 Warehouse 子节点配置")
nav_device = device_roles.get("navigator", device_roles.get("nav"))
arm_device = device_roles.get("arm")
if not nav_device or not arm_device:
raise ValueError(f"AGV {agv_id} device_roles 缺少 navigator 或 arm: {device_roles}")
from_repo_ = list(from_repo.values())[0]
to_repo_ = list(to_repo.values())[0]
from_station_id = from_repo_["id"]
to_station_id = to_repo_["id"]
# 查找路由
route_to_source = _find_route(route_table, agv_id, from_station_id)
route_to_target = _find_route(route_table, from_station_id, to_station_id)
# 构建 AGV carrier 的 children dict用于 compile 阶段状态追踪)
agv_carrier_children: Dict[str, Any] = {}
# 计算 slot 名称A01, A02, B01, ...
agv_slot_names = _get_agv_slot_names(G, agv_cfg)
# 分批
batches = split_batches(transfer_items, capacity)
steps: List[Dict[str, Any]] = []
for batch_idx, batch in enumerate(batches):
is_last_batch = (batch_idx == len(batches) - 1)
# 阶段 1: AGV 导航到来源工站
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_source.get("nav_command", "")
},
"_comment": f"批次{batch_idx + 1}/{len(batches)}: AGV 导航至来源 {from_station_id}"
})
# 阶段 2: 逐个 pick
for item_idx, item in enumerate(batch):
from_pos = item["from_position"]
slot = agv_slot_names[item_idx] if item_idx < len(agv_slot_names) else f"S{item_idx + 1}"
# compile 阶段更新 children dict
if from_pos in from_repo_.get("children", {}):
resource_data = from_repo_["children"].pop(from_pos)
resource_data["parent"] = agv_id
agv_carrier_children[slot] = resource_data
steps.append({
"device_id": arm_device,
"action_name": "move_pos_task",
"action_kwargs": {
"command": route_to_source.get("arm_pick", route_to_source.get("arm_command", ""))
},
"_transfer_meta": {
"phase": "pick",
"resource_uuid": item.get("resource_uuid", ""),
"resource_id": item.get("resource_id", ""),
"from_parent": from_station_id,
"from_position": from_pos,
"agv_slot": slot,
},
"_comment": f"Pick {item.get('resource_id', from_pos)} → AGV.{slot}"
})
# 阶段 3: AGV 导航到目标工站
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_target.get("nav_command", "")
},
"_comment": f"批次{batch_idx + 1}: AGV 导航至目标 {to_station_id}"
})
# 阶段 4: 逐个 place
for item_idx, item in enumerate(batch):
to_pos = item["to_position"]
slot = agv_slot_names[item_idx] if item_idx < len(agv_slot_names) else f"S{item_idx + 1}"
# compile 阶段更新 children dict
if slot in agv_carrier_children:
resource_data = agv_carrier_children.pop(slot)
resource_data["parent"] = to_repo_["id"]
to_repo_["children"][to_pos] = resource_data
steps.append({
"device_id": arm_device,
"action_name": "move_pos_task",
"action_kwargs": {
"command": route_to_target.get("arm_place", route_to_target.get("arm_command", ""))
},
"_transfer_meta": {
"phase": "place",
"resource_uuid": item.get("resource_uuid", ""),
"resource_id": item.get("resource_id", ""),
"to_parent": to_station_id,
"to_position": to_pos,
"agv_slot": slot,
},
"_comment": f"Place AGV.{slot}{to_station_id}.{to_pos}"
})
# 如果还有下一批AGV 需要返回来源取料
if not is_last_batch:
steps.append({
"device_id": nav_device,
"action_name": "send_nav_task",
"action_kwargs": {
"command": route_to_source.get("nav_command", "")
},
"_comment": f"AGV 返回来源 {from_station_id} 取下一批"
})
return steps
def _find_route(route_table: Dict[str, Any], from_id: str, to_id: str) -> Dict[str, str]:
"""在路由表中查找路线,支持 A->B 和 (A, B) 两种 key 格式"""
# 优先 "A->B" 格式
key = f"{from_id}->{to_id}"
if key in route_table:
return route_table[key]
# 兼容 tuple keyJSON 中以逗号分隔字符串表示)
tuple_key = f"({from_id}, {to_id})"
if tuple_key in route_table:
return route_table[tuple_key]
raise KeyError(f"路由表中未找到: {key},可用路线: {list(route_table.keys())}")
def _get_agv_slot_names(G: nx.Graph, agv_cfg: dict) -> List[str]:
"""从设备图中获取 AGV Warehouse 的 slot 名称列表"""
agv_id = agv_cfg["agv_id"]
neighbors = G.successors(agv_id) if G.is_directed() else G.neighbors(agv_id)
for neighbor in neighbors:
ndata = G.nodes[neighbor]
node_type = ndata.get("type", "")
res_content = ndata.get("res_content")
if hasattr(res_content, "type"):
node_type = res_content.type or node_type
elif isinstance(res_content, dict):
node_type = res_content.get("type", node_type)
if node_type == "warehouse":
config = ndata.get("config", {})
if hasattr(res_content, "config") and isinstance(res_content.config, dict):
config = res_content.config
elif isinstance(res_content, dict):
config = res_content.get("config", config)
num_x = config.get("num_items_x", 1)
num_y = config.get("num_items_y", 1)
num_z = config.get("num_items_z", 1)
# 与 warehouse_factory 一致的命名
letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
len_x = num_x if num_z == 1 else (num_y if num_x == 1 else num_x)
len_y = num_y if num_z == 1 else (num_z if num_x == 1 else num_z)
return [f"{letters[j]}{i + 1:02d}" for i in range(len_x) for j in range(len_y)]
# 兜底生成通用名称
capacity = agv_cfg.get("capacity", 4)
return [f"S{i + 1}" for i in range(capacity)]

View File

@@ -1,7 +1,9 @@
from typing import List, Dict, Any
import networkx as nx
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_heatchill
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol
from .utils.resource_helper import get_resource_liquid_volume
def find_solvent_vessel_by_any_match(G: nx.DiGraph, solvent: str) -> str:
@@ -17,43 +19,23 @@ def find_waste_vessel(G: nx.DiGraph) -> str:
"""
possible_waste_names = [
"waste_workup",
"flask_waste",
"flask_waste",
"bottle_waste",
"waste",
"waste_vessel",
"waste_container"
]
for waste_name in possible_waste_names:
if waste_name in G.nodes():
return waste_name
raise ValueError(f"未找到废液容器。尝试了以下名称: {possible_waste_names}")
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""
查找与指定容器相连的加热冷却设备
"""
# 查找所有加热冷却设备节点
heatchill_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_heatchill']
# 检查哪个加热设备与目标容器相连(机械连接)
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
return heatchill
# 如果没有直接连接,返回第一个可用的加热设备
if heatchill_nodes:
return heatchill_nodes[0]
return None # 没有加热设备也可以工作,只是不能加热
def generate_clean_vessel_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
vessel: dict,
solvent: str,
volume: float,
temp: float,
@@ -61,7 +43,7 @@ def generate_clean_vessel_protocol(
) -> List[Dict[str, Any]]:
"""
生成容器清洗操作的协议序列,复用 pump_protocol 的成熟算法
清洗流程:
1. 查找溶剂容器和废液容器
2. 如果需要加热,启动加热设备
@@ -70,63 +52,50 @@ def generate_clean_vessel_protocol(
b. (可选) 等待清洗作用时间
c. 使用 pump_protocol 将清洗液从目标容器转移到废液容器
4. 如果加热了,停止加热
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 要清洗的容器字典包含id字段
solvent: 用于清洗的溶剂名称
solvent: 用于清洗的溶剂名称
volume: 每次清洗使用的溶剂体积
temp: 清洗时的温度
repeats: 清洗操作的重复次数,默认为 1
Returns:
List[Dict[str, Any]]: 容器清洗操作的动作序列
Raises:
ValueError: 当找不到必要的容器或设备时抛出异常
Examples:
clean_protocol = generate_clean_vessel_protocol(G, {"id": "main_reactor"}, "water", 100.0, 60.0, 2)
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
print(f"CLEAN_VESSEL: 开始生成容器清洗协议")
print(f" - 目标容器: {vessel} (ID: {vessel_id})")
print(f" - 清洗溶剂: {solvent}")
print(f" - 清洗体积: {volume} mL")
print(f" - 清洗温度: {temp}°C")
print(f" - 重复次数: {repeats}")
debug_print(f"开始生成容器清洗协议: vessel={vessel_id}, solvent={solvent}, volume={volume}mL, temp={temp}°C, repeats={repeats}")
# 验证目标容器存在
if vessel_id not in G.nodes():
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
# 查找溶剂容器
try:
solvent_vessel = find_solvent_vessel(G, solvent)
print(f"CLEAN_VESSEL: 找到溶剂容器: {solvent_vessel}")
debug_print(f"找到溶剂容器: {solvent_vessel}")
except ValueError as e:
raise ValueError(f"无法找到溶剂容器: {str(e)}")
# 查找废液容器
try:
waste_vessel = find_waste_vessel(G)
print(f"CLEAN_VESSEL: 找到废液容器: {waste_vessel}")
debug_print(f"找到废液容器: {waste_vessel}")
except ValueError as e:
raise ValueError(f"无法找到废液容器: {str(e)}")
# 查找加热设备(可选)
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
heatchill_id = find_connected_heatchill(G, vessel_id)
if heatchill_id:
print(f"CLEAN_VESSEL: 找到加热设备: {heatchill_id}")
debug_print(f"找到加热设备: {heatchill_id}")
else:
print(f"CLEAN_VESSEL: 未找到加热设备,将在室温下清洗")
# 🔧 新增:记录清洗前的容器状态
print(f"CLEAN_VESSEL: 记录清洗前容器状态...")
debug_print(f"未找到加热设备,将在室温下清洗")
# 记录清洗前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -134,79 +103,69 @@ def generate_clean_vessel_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"CLEAN_VESSEL: 清洗前液体体积: {original_liquid_volume:.2f}mL")
# 第一步:如果需要加热且有加热设备,启动加热
if temp > 25.0 and heatchill_id:
print(f"CLEAN_VESSEL: 启动加热至 {temp}°C")
debug_print(f"启动加热至 {temp}°C")
heatchill_start_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"temp": temp,
"purpose": f"cleaning with {solvent}"
}
}
action_sequence.append(heatchill_start_action)
# 等待温度稳定
wait_action = {
"action_name": "wait",
"action_kwargs": {"time": 30} # 等待30秒让温度稳定
"action_name": "wait",
"action_kwargs": {"time": 30}
}
action_sequence.append(wait_action)
# 第二步:重复清洗操作
for repeat in range(repeats):
print(f"CLEAN_VESSEL: 执行第 {repeat + 1} 次清洗")
debug_print(f"执行第 {repeat + 1}/{repeats} 次清洗")
# 2a. 使用 pump_protocol 将溶剂转移到目标容器
print(f"CLEAN_VESSEL: 将 {volume} mL {solvent} 转移到 {vessel_id}")
try:
# 调用成熟的 pump_protocol 算法
add_solvent_actions = generate_pump_protocol(
G=G,
from_vessel=solvent_vessel,
to_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=vessel_id,
volume=volume,
flowrate=2.5, # 适中的流速,避免飞溅
flowrate=2.5,
transfer_flowrate=2.5
)
action_sequence.extend(add_solvent_actions)
# 🔧 新增:更新容器体积(添加清洗溶剂)
print(f"CLEAN_VESSEL: 更新容器体积 - 添加清洗溶剂 {volume:.2f}mL")
# 更新容器体积(添加清洗溶剂)
if "data" not in vessel:
vessel["data"] = {}
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] += volume
print(f"CLEAN_VESSEL: 添加溶剂后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [volume]
print(f"CLEAN_VESSEL: 初始化清洗体积: {volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] += volume
print(f"CLEAN_VESSEL: 添加溶剂后体积: {vessel['data']['liquid_volume']:.2f}mL (+{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = volume
print(f"CLEAN_VESSEL: 重置体积为: {volume:.2f}mL")
else:
vessel["data"]["liquid_volume"] = volume
print(f"CLEAN_VESSEL: 创建新体积记录: {volume:.2f}mL")
# 🔧 同时更新图中的容器数据
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] += volume
@@ -214,58 +173,48 @@ def generate_clean_vessel_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + volume
print(f"CLEAN_VESSEL: 图节点体积数据已更新")
except Exception as e:
raise ValueError(f"无法将溶剂转移到容器: {str(e)}")
# 2b. 等待清洗作用时间(让溶剂充分清洗容器)
cleaning_wait_time = 60 if temp > 50.0 else 30 # 高温下等待更久
print(f"CLEAN_VESSEL: 等待清洗作用 {cleaning_wait_time}")
# 2b. 等待清洗作用时间
cleaning_wait_time = 60 if temp > 50.0 else 30
wait_action = {
"action_name": "wait",
"action_name": "wait",
"action_kwargs": {"time": cleaning_wait_time}
}
action_sequence.append(wait_action)
# 2c. 使用 pump_protocol 将清洗液转移到废液容器
print(f"CLEAN_VESSEL: 将清洗液从 {vessel_id} 转移到废液容器")
try:
# 调用成熟的 pump_protocol 算法
remove_waste_actions = generate_pump_protocol(
G=G,
from_vessel=vessel_id, # 🔧 使用 vessel_id
from_vessel=vessel_id,
to_vessel=waste_vessel,
volume=volume,
flowrate=2.5, # 适中的流速
flowrate=2.5,
transfer_flowrate=2.5
)
action_sequence.extend(remove_waste_actions)
# 🔧 新增:更新容器体积(移除清洗液)
print(f"CLEAN_VESSEL: 更新容器体积 - 移除清洗液 {volume:.2f}mL")
# 更新容器体积(移除清洗液)
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = max(0.0, vessel["data"]["liquid_volume"][0] - volume)
print(f"CLEAN_VESSEL: 移除清洗液后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (-{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [0.0]
print(f"CLEAN_VESSEL: 重置体积为0mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] = max(0.0, current_volume - volume)
print(f"CLEAN_VESSEL: 移除清洗液后体积: {vessel['data']['liquid_volume']:.2f}mL (-{volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = 0.0
print(f"CLEAN_VESSEL: 重置体积为0mL")
# 🔧 同时更新图中的容器数据
# 同时更新图中的容器数据
if vessel_id in G.nodes():
vessel_node_data = G.nodes[vessel_id].get('data', {})
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = max(0.0, current_node_volume[0] - volume)
@@ -273,34 +222,30 @@ def generate_clean_vessel_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [0.0]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = max(0.0, current_node_volume - volume)
print(f"CLEAN_VESSEL: 图节点体积数据已更新")
except Exception as e:
raise ValueError(f"无法将清洗液转移到废液容器: {str(e)}")
# 2d. 清洗循环间的短暂等待
if repeat < repeats - 1: # 不是最后一次清洗
print(f"CLEAN_VESSEL: 清洗循环间等待")
if repeat < repeats - 1:
wait_action = {
"action_name": "wait",
"action_name": "wait",
"action_kwargs": {"time": 10}
}
action_sequence.append(wait_action)
# 第三步:如果加热了,停止加热
if temp > 25.0 and heatchill_id:
print(f"CLEAN_VESSEL: 停止加热")
heatchill_stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
}
}
action_sequence.append(heatchill_stop_action)
# 🔧 新增:清洗完成后的状态报告
# 清洗完成后的状态
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -308,20 +253,17 @@ def generate_clean_vessel_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
print(f"CLEAN_VESSEL: 清洗完成")
print(f" - 清洗前体积: {original_liquid_volume:.2f}mL")
print(f" - 清洗后体积: {final_liquid_volume:.2f}mL")
print(f" - 生成了 {len(action_sequence)} 个动作")
debug_print(f"清洗完成: {len(action_sequence)} 个动作, 体积 {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
return action_sequence
# 便捷函数:常用清洗方案
# 便捷函数
def generate_quick_clean_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
solvent: str = "water",
G: nx.DiGraph,
vessel: dict,
solvent: str = "water",
volume: float = 100.0
) -> List[Dict[str, Any]]:
"""快速清洗:室温,单次清洗"""
@@ -329,9 +271,9 @@ def generate_quick_clean_protocol(
def generate_thorough_clean_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
solvent: str = "water",
G: nx.DiGraph,
vessel: dict,
solvent: str = "water",
volume: float = 150.0,
temp: float = 60.0
) -> List[Dict[str, Any]]:
@@ -340,13 +282,13 @@ def generate_thorough_clean_protocol(
def generate_organic_clean_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
G: nx.DiGraph,
vessel: dict,
volume: float = 100.0
) -> List[Dict[str, Any]]:
"""有机清洗:先用有机溶剂,再用水清洗"""
action_sequence = []
# 第一步:有机溶剂清洗
try:
organic_actions = generate_clean_vessel_protocol(
@@ -354,96 +296,71 @@ def generate_organic_clean_protocol(
)
action_sequence.extend(organic_actions)
except ValueError:
# 如果没有丙酮,尝试乙醇
try:
organic_actions = generate_clean_vessel_protocol(
G, vessel, "ethanol", volume, 25.0, 2
)
action_sequence.extend(organic_actions)
except ValueError:
print("警告:未找到有机溶剂,跳过有机清洗步骤")
debug_print("未找到有机溶剂,跳过有机清洗步骤")
# 第二步:水清洗
water_actions = generate_clean_vessel_protocol(
G, vessel, "water", volume, 25.0, 2
)
action_sequence.extend(water_actions)
return action_sequence
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""获取容器中的液体体积(修复版)"""
if vessel not in G.nodes():
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式:新格式 (name, volume) 和旧格式 (liquid_type, liquid_volume)
volume = liquid.get('volume') or liquid.get('liquid_volume', 0.0)
total_volume += volume
return total_volume
def get_vessel_liquid_types(G: nx.DiGraph, vessel: str) -> List[str]:
"""获取容器中所有液体的类型"""
if vessel not in G.nodes():
return []
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = []
for liquid in liquids:
if isinstance(liquid, dict):
# 支持两种格式的液体类型字段
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type:
liquid_types.append(liquid_type)
return liquid_types
def find_vessel_by_content(G: nx.DiGraph, content: str) -> List[str]:
"""
根据内容物查找所有匹配的容器
返回匹配容器的ID列表
"""
matching_vessels = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
# 检查容器名称匹配
node_name = G.nodes[node_id].get('name', '').lower()
if content.lower() in node_id.lower() or content.lower() in node_name:
matching_vessels.append(node_id)
continue
# 检查液体类型匹配
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
config_data = G.nodes[node_id].get('config', {})
# 检查 reagent_name 和 config.reagent
reagent_name = vessel_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
if (content.lower() == reagent_name or
if (content.lower() == reagent_name or
content.lower() == config_reagent):
matching_vessels.append(node_id)
continue
# 检查液体列表
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == content.lower():
matching_vessels.append(node_id)
break
return matching_vessels
return matching_vessels

View File

@@ -1,402 +1,19 @@
from functools import partial
import networkx as nx
import re
import logging
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .utils.logger_util import debug_print, action_log
from .utils.unit_parser import parse_volume_input, parse_mass_input, parse_time_input, parse_temperature_input
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_heatchill, find_connected_stirrer, find_solid_dispenser
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[DISSOLVE] {message}")
# 🆕 创建进度日志动作
# 创建进度日志动作
create_action_log = partial(action_log, prefix="[DISSOLVE]")
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
解析体积输入,支持带单位的字符串
Args:
volume_input: 体积输入(如 "10 mL", "?", 10.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
debug_print(f"📏 体积输入为数值: {volume_input}")
return float(volume_input)
if not volume_input or not str(volume_input).strip():
debug_print(f"⚠️ 体积输入为空返回0.0mL")
return 0.0
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积输入: '{volume_str}'")
# 处理未知体积
if volume_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_volume = 50.0 # 默认50mL
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL 🎯")
return default_volume
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter)?', volume_clean)
if not match:
debug_print(f"❌ 无法解析体积: '{volume_str}'使用默认值50mL")
return 50.0
value = float(match.group(1))
unit = match.group(2) or 'ml' # 默认单位为毫升
# 转换为毫升
if unit in ['l', 'liter']:
volume = value * 1000.0 # L -> mL
debug_print(f"🔄 体积转换: {value}L → {volume}mL")
elif unit in ['μl', 'ul', 'microliter']:
volume = value / 1000.0 # μL -> mL
debug_print(f"🔄 体积转换: {value}μL → {volume}mL")
else: # ml, milliliter 或默认
volume = value # 已经是mL
debug_print(f"✅ 体积已为mL: {volume}mL")
return volume
def parse_mass_input(mass_input: Union[str, float]) -> float:
"""
解析质量输入,支持带单位的字符串
Args:
mass_input: 质量输入(如 "2.9 g", "?", 2.5
Returns:
float: 质量(克)
"""
if isinstance(mass_input, (int, float)):
debug_print(f"⚖️ 质量输入为数值: {mass_input}g")
return float(mass_input)
if not mass_input or not str(mass_input).strip():
debug_print(f"⚠️ 质量输入为空返回0.0g")
return 0.0
mass_str = str(mass_input).lower().strip()
debug_print(f"🔍 解析质量输入: '{mass_str}'")
# 处理未知质量
if mass_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_mass = 1.0 # 默认1g
debug_print(f"❓ 检测到未知质量,使用默认值: {default_mass}g 🎯")
return default_mass
# 移除空格并提取数字和单位
mass_clean = re.sub(r'\s+', '', mass_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(g|mg|kg|gram|milligram|kilogram)?', mass_clean)
if not match:
debug_print(f"❌ 无法解析质量: '{mass_str}'返回0.0g")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 'g' # 默认单位为克
# 转换为克
if unit in ['mg', 'milligram']:
mass = value / 1000.0 # mg -> g
debug_print(f"🔄 质量转换: {value}mg → {mass}g")
elif unit in ['kg', 'kilogram']:
mass = value * 1000.0 # kg -> g
debug_print(f"🔄 质量转换: {value}kg → {mass}g")
else: # g, gram 或默认
mass = value # 已经是g
debug_print(f"✅ 质量已为g: {mass}g")
return mass
def parse_time_input(time_input: Union[str, float]) -> float:
"""
解析时间输入,支持带单位的字符串
Args:
time_input: 时间输入(如 "30 min", "1 h", "?", 60.0
Returns:
float: 时间(秒)
"""
if isinstance(time_input, (int, float)):
debug_print(f"⏱️ 时间输入为数值: {time_input}")
return float(time_input)
if not time_input or not str(time_input).strip():
debug_print(f"⚠️ 时间输入为空返回0秒")
return 0.0
time_str = str(time_input).lower().strip()
debug_print(f"🔍 解析时间输入: '{time_str}'")
# 处理未知时间
if time_str in ['?', 'unknown', 'tbd']:
default_time = 600.0 # 默认10分钟
debug_print(f"❓ 检测到未知时间,使用默认值: {default_time}s (10分钟) ⏰")
return default_time
# 移除空格并提取数字和单位
time_clean = re.sub(r'\s+', '', time_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(s|sec|second|min|minute|h|hr|hour|d|day)?', time_clean)
if not match:
debug_print(f"❌ 无法解析时间: '{time_str}'返回0s")
return 0.0
value = float(match.group(1))
unit = match.group(2) or 's' # 默认单位为秒
# 转换为秒
if unit in ['min', 'minute']:
time_sec = value * 60.0 # min -> s
debug_print(f"🔄 时间转换: {value}分钟 → {time_sec}")
elif unit in ['h', 'hr', 'hour']:
time_sec = value * 3600.0 # h -> s
debug_print(f"🔄 时间转换: {value}小时 → {time_sec}")
elif unit in ['d', 'day']:
time_sec = value * 86400.0 # d -> s
debug_print(f"🔄 时间转换: {value}天 → {time_sec}")
else: # s, sec, second 或默认
time_sec = value # 已经是s
debug_print(f"✅ 时间已为秒: {time_sec}")
return time_sec
def parse_temperature_input(temp_input: Union[str, float]) -> float:
"""
解析温度输入,支持带单位的字符串
Args:
temp_input: 温度输入(如 "60 °C", "room temperature", "?", 25.0
Returns:
float: 温度(摄氏度)
"""
if isinstance(temp_input, (int, float)):
debug_print(f"🌡️ 温度输入为数值: {temp_input}°C")
return float(temp_input)
if not temp_input or not str(temp_input).strip():
debug_print(f"⚠️ 温度输入为空使用默认室温25°C")
return 25.0 # 默认室温
temp_str = str(temp_input).lower().strip()
debug_print(f"🔍 解析温度输入: '{temp_str}'")
# 处理特殊温度描述
temp_aliases = {
'room temperature': 25.0,
'rt': 25.0,
'ambient': 25.0,
'cold': 4.0,
'ice': 0.0,
'reflux': 80.0, # 默认回流温度
'?': 25.0,
'unknown': 25.0
}
if temp_str in temp_aliases:
result = temp_aliases[temp_str]
debug_print(f"🏷️ 温度别名解析: '{temp_str}'{result}°C")
return result
# 移除空格并提取数字和单位
temp_clean = re.sub(r'\s+', '', temp_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(°c|c|celsius|°f|f|fahrenheit|k|kelvin)?', temp_clean)
if not match:
debug_print(f"❌ 无法解析温度: '{temp_str}'使用默认值25°C")
return 25.0
value = float(match.group(1))
unit = match.group(2) or 'c' # 默认单位为摄氏度
# 转换为摄氏度
if unit in ['°f', 'f', 'fahrenheit']:
temp_c = (value - 32) * 5/9 # F -> C
debug_print(f"🔄 温度转换: {value}°F → {temp_c:.1f}°C")
elif unit in ['k', 'kelvin']:
temp_c = value - 273.15 # K -> C
debug_print(f"🔄 温度转换: {value}K → {temp_c:.1f}°C")
else: # °c, c, celsius 或默认
temp_c = value # 已经是C
debug_print(f"✅ 温度已为°C: {temp_c}°C")
return temp_c
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""增强版溶剂容器查找,支持多种匹配模式"""
debug_print(f"🔍 开始查找溶剂 '{solvent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索reagent字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == solvent.lower() or config_reagent == solvent.lower():
debug_print(f"✅ 通过reagent字段精确匹配到容器: {node} 🎯")
return node
# 模糊匹配
if (solvent.lower() in reagent_name and reagent_name) or \
(solvent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过reagent字段模糊匹配到容器: {node} 🔍")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则查找...")
solvent_clean = solvent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
solvent_clean,
f"flask_{solvent_clean}",
f"bottle_{solvent_clean}",
f"vessel_{solvent_clean}",
f"{solvent_clean}_flask",
f"{solvent_clean}_bottle",
f"solvent_{solvent_clean}",
f"reagent_{solvent_clean}",
f"reagent_bottle_{solvent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🔍 尝试的容器名称: {possible_names[:5]}... (共{len(possible_names)}个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name} 📝")
return name
# 🔧 方法3节点名称模糊匹配
debug_print(f"📋 方法3: 节点名称模糊匹配...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if node_data.get('type') == 'container':
# 检查节点名称是否包含溶剂名称
if solvent_clean in node_id.lower():
debug_print(f"✅ 通过节点名称模糊匹配到容器: {node_id} 🔍")
return node_id
# 检查液体类型匹配
vessel_data = node_data.get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = liquid.get('liquid_type') or liquid.get('name', '')
if liquid_type.lower() == solvent.lower():
debug_print(f"✅ 通过液体类型匹配到容器: {node_id} 💧")
return node_id
# 🔧 方法4使用第一个试剂瓶作为备选
debug_print(f"📋 方法4: 查找备选试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower() or 'flask' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备选试剂瓶: {node_id} 🔄")
return node_id
debug_print(f"❌ 所有方法都失败了,无法找到容器!")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器")
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的加热搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的加热搅拌器...")
heatchill_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'heatchill' in node_class:
heatchill_nodes.append(node)
debug_print(f"📋 发现加热搅拌器: {node}")
debug_print(f"📊 共找到 {len(heatchill_nodes)} 个加热搅拌器")
# 查找连接到容器的加热器
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
debug_print(f"✅ 找到连接的加热搅拌器: {heatchill} 🔗")
return heatchill
# 返回第一个加热器
if heatchill_nodes:
debug_print(f"⚠️ 未找到直接连接的加热搅拌器,使用第一个: {heatchill_nodes[0]} 🔄")
return heatchill_nodes[0]
debug_print(f"❌ 未找到任何加热搅拌器")
return ""
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 共找到 {len(stirrer_nodes)} 个搅拌器")
# 查找连接到容器的搅拌器
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
return stirrer
# 返回第一个搅拌器
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
return stirrer_nodes[0]
debug_print(f"❌ 未找到任何搅拌器")
return ""
def find_solid_dispenser(G: nx.DiGraph) -> str:
"""查找固体加样器"""
debug_print(f"🔍 查找固体加样器...")
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'solid_dispenser' in node_class or 'dispenser' in node_class:
debug_print(f"✅ 找到固体加样器: {node} 🥄")
return node
debug_print(f"❌ 未找到固体加样器")
return ""
def generate_dissolve_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
@@ -436,43 +53,21 @@ def generate_dissolve_protocol(
- mol: "0.12 mol", "16.2 mmol"
"""
# 🔧 核心修改:从字典中提取容器ID
# 从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print("=" * 60)
debug_print("🧪 开始生成溶解协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💧 solvent: '{solvent}'")
debug_print(f" 📏 volume: {volume} (类型: {type(volume)})")
debug_print(f" ⚖️ mass: {mass} (类型: {type(mass)})")
debug_print(f" 🌡️ temp: {temp} (类型: {type(temp)})")
debug_print(f" ⏱️ time: {time} (类型: {type(time)})")
debug_print(f" 🧪 reagent: '{reagent}'")
debug_print(f" 🧬 mol: '{mol}'")
debug_print(f" 🎯 event: '{event}'")
debug_print(f" 📦 kwargs: {kwargs}") # 显示额外参数
debug_print("=" * 60)
debug_print(f"溶解协议: vessel={vessel_id}, solvent='{solvent}', volume={volume}, "
f"mass={mass}, temp={temp}, time={time}")
action_sequence = []
# === 参数验证 ===
debug_print("🔍 步骤1: 参数验证...")
action_sequence.append(create_action_log(f"开始溶解操作 - 容器: {vessel_id}", "🎬"))
if not vessel_id:
debug_print("❌ vessel 参数不能为空")
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes():
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中")
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
debug_print("✅ 基本参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# 🔧 新增:记录溶解前的容器状态
debug_print("🔍 记录溶解前容器状态...")
# 记录溶解前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -480,30 +75,16 @@ def generate_dissolve_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 溶解前液体体积: {original_liquid_volume:.2f}mL")
# === 🔧 关键修复:参数解析 ===
debug_print("🔍 步骤2: 参数解析...")
action_sequence.append(create_action_log("正在解析溶解参数...", "🔍"))
# 解析各种参数为数值
# === 参数解析 ===
final_volume = parse_volume_input(volume)
final_mass = parse_mass_input(mass)
final_temp = parse_temperature_input(temp)
final_time = parse_time_input(time)
debug_print(f"📊 解析结果:")
debug_print(f" 📏 体积: {final_volume}mL")
debug_print(f" ⚖️ 质量: {final_mass}g")
debug_print(f" 🌡️ 温度: {final_temp}°C")
debug_print(f" ⏱️ 时间: {final_time}s")
debug_print(f" 🧪 试剂: '{reagent}'")
debug_print(f" 🧬 摩尔: '{mol}'")
debug_print(f" 🎯 事件: '{event}'")
debug_print(f"参数解析: vol={final_volume}mL, mass={final_mass}g, temp={final_temp}°C, time={final_time}s")
# === 判断溶解类型 ===
debug_print("🔍 步骤3: 判断溶解类型...")
action_sequence.append(create_action_log("正在判断溶解类型...", "🔍"))
# 判断是固体溶解还是液体溶解
is_solid_dissolve = (final_mass > 0 or (mol and mol.strip() != "") or (reagent and reagent.strip() != ""))
@@ -515,49 +96,31 @@ def generate_dissolve_protocol(
final_volume = 50.0
if not solvent:
solvent = "water" # 默认溶剂
debug_print("⚠️ 未明确指定溶解参数默认为50mL水溶解")
debug_print("未明确指定溶解参数默认为50mL水溶解")
dissolve_type = "固体溶解" if is_solid_dissolve else "液体溶解"
dissolve_emoji = "🧂" if is_solid_dissolve else "💧"
debug_print(f"📋 溶解类型: {dissolve_type} {dissolve_emoji}")
action_sequence.append(create_action_log(f"确定溶解类型: {dissolve_type} {dissolve_emoji}", "📋"))
debug_print(f"溶解类型: {dissolve_type}")
action_sequence.append(create_action_log(f"溶解类型: {dissolve_type}", "📋"))
# === 查找设备 ===
debug_print("🔍 步骤4: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
# 查找加热搅拌器
heatchill_id = find_connected_heatchill(G, vessel_id)
stirrer_id = find_connected_stirrer(G, vessel_id)
# 优先使用加热搅拌器,否则使用独立搅拌器
stir_device_id = heatchill_id or stirrer_id
debug_print(f"📊 设备映射:")
debug_print(f" 🔥 加热器: '{heatchill_id}'")
debug_print(f" 🌪️ 搅拌器: '{stirrer_id}'")
debug_print(f" 🎯 使用设备: '{stir_device_id}'")
if heatchill_id:
action_sequence.append(create_action_log(f"找到加热搅拌器: {heatchill_id}", "🔥"))
elif stirrer_id:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_id}", "🌪️"))
else:
debug_print(f"设备: heatchill='{heatchill_id}', stirrer='{stirrer_id}'")
if not stir_device_id:
action_sequence.append(create_action_log("未找到搅拌设备,将跳过搅拌", "⚠️"))
# === 执行溶解流程 ===
debug_print("🔍 步骤5: 执行溶解流程...")
try:
# 步骤5.1: 启动加热搅拌(如果需要)
# 启动加热搅拌(如果需要)
if stir_device_id and (final_temp > 25.0 or final_time > 0 or stir_speed > 0):
debug_print(f"🔍 5.1: 启动加热搅拌,温度: {final_temp}°C")
action_sequence.append(create_action_log(f"准备加热搅拌 (目标温度: {final_temp}°C)", "🔥"))
if heatchill_id and (final_temp > 25.0 or final_time > 0):
# 使用加热搅拌器
action_sequence.append(create_action_log(f"启动加热搅拌器 {heatchill_id}", "🔥"))
heatchill_action = {
"device_id": heatchill_id,
@@ -573,7 +136,6 @@ def generate_dissolve_protocol(
# 等待温度稳定
if final_temp > 25.0:
wait_time = min(60, abs(final_temp - 25.0) * 1.5)
action_sequence.append(create_action_log(f"等待温度稳定 ({wait_time:.0f}秒)", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": wait_time}
@@ -581,7 +143,6 @@ def generate_dissolve_protocol(
elif stirrer_id:
# 使用独立搅拌器
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {stir_speed}rpm)", "🌪️"))
stir_action = {
"device_id": stirrer_id,
@@ -593,9 +154,8 @@ def generate_dissolve_protocol(
}
}
action_sequence.append(stir_action)
# 等待搅拌稳定
action_sequence.append(create_action_log("等待搅拌稳定...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
@@ -603,12 +163,8 @@ def generate_dissolve_protocol(
if is_solid_dissolve:
# === 固体溶解路径 ===
debug_print(f"🔍 5.2: 使用固体溶解路径")
action_sequence.append(create_action_log("开始固体溶解流程", "🧂"))
solid_dispenser = find_solid_dispenser(G)
if solid_dispenser:
action_sequence.append(create_action_log(f"找到固体加样器: {solid_dispenser}", "🥄"))
# 固体加样
add_kwargs = {
@@ -620,42 +176,27 @@ def generate_dissolve_protocol(
if final_mass > 0:
add_kwargs["mass"] = str(final_mass)
action_sequence.append(create_action_log(f"准备添加固体: {final_mass}g", "⚖️"))
if mol and mol.strip():
add_kwargs["mol"] = mol
action_sequence.append(create_action_log(f"按摩尔数添加: {mol}", "🧬"))
action_sequence.append(create_action_log("开始固体加样操作", "🥄"))
action_sequence.append({
"device_id": solid_dispenser,
"action_name": "add_solid",
"action_kwargs": add_kwargs
})
debug_print(f"✅ 固体加样完成")
action_sequence.append(create_action_log("固体加样完成", ""))
# 🔧 新增:固体溶解体积运算 - 固体本身不会显著增加体积,但可能有少量变化
debug_print(f"🔧 固体溶解 - 体积变化很小,主要是质量变化")
# 固体通常不会显著改变液体体积,这里只记录日志
action_sequence.append(create_action_log(f"固体已添加: {final_mass}g", "📊"))
# 固体溶解体积运算 - 固体本身不会显著增加体积
else:
debug_print("⚠️ 未找到固体加样器,跳过固体添加")
debug_print("未找到固体加样器,跳过固体添加")
action_sequence.append(create_action_log("未找到固体加样器,无法添加固体", ""))
elif is_liquid_dissolve:
# === 液体溶解路径 ===
debug_print(f"🔍 5.3: 使用液体溶解路径")
action_sequence.append(create_action_log("开始液体溶解流程", "💧"))
# 查找溶剂容器
action_sequence.append(create_action_log("正在查找溶剂容器...", "🔍"))
try:
solvent_vessel = find_solvent_vessel(G, solvent)
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "🧪"))
except ValueError as e:
debug_print(f"⚠️ {str(e)},跳过溶剂添加")
debug_print(f"溶剂容器查找失败: {str(e)},跳过溶剂添加")
action_sequence.append(create_action_log(f"溶剂容器查找失败: {str(e)}", ""))
solvent_vessel = None
@@ -663,10 +204,7 @@ def generate_dissolve_protocol(
# 计算流速 - 溶解时通常用较慢的速度,避免飞溅
flowrate = 1.0 # 较慢的注入速度
transfer_flowrate = 0.5 # 较慢的转移速度
action_sequence.append(create_action_log(f"设置流速: {flowrate}mL/min (缓慢注入)", ""))
action_sequence.append(create_action_log(f"开始转移 {final_volume}mL {solvent}", "🚰"))
# 调用pump protocol
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
@@ -688,12 +226,9 @@ def generate_dissolve_protocol(
**kwargs
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 溶剂转移完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
# 🔧 新增:液体溶解体积运算 - 添加溶剂后更新容器体积
debug_print(f"🔧 更新容器液体体积 - 添加溶剂 {final_volume:.2f}mL")
# 液体溶解体积运算 - 添加溶剂后更新容器体积
# 确保vessel有data字段
if "data" not in vessel:
vessel["data"] = {}
@@ -703,19 +238,14 @@ def generate_dissolve_protocol(
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] += final_volume
debug_print(f"📊 添加溶剂后体积: {vessel['data']['liquid_volume'][0]:.2f}mL (+{final_volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = [final_volume]
debug_print(f"📊 初始化溶解体积: {final_volume:.2f}mL")
elif isinstance(current_volume, (int, float)):
vessel["data"]["liquid_volume"] += final_volume
debug_print(f"📊 添加溶剂后体积: {vessel['data']['liquid_volume']:.2f}mL (+{final_volume:.2f}mL)")
else:
vessel["data"]["liquid_volume"] = final_volume
debug_print(f"📊 重置体积为: {final_volume:.2f}mL")
else:
vessel["data"]["liquid_volume"] = final_volume
debug_print(f"📊 创建新体积记录: {final_volume:.2f}mL")
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
@@ -732,27 +262,19 @@ def generate_dissolve_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [final_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = current_node_volume + final_volume
debug_print(f"✅ 图节点体积数据已更新")
action_sequence.append(create_action_log(f"容器体积已更新 (+{final_volume:.2f}mL)", "📊"))
# 溶剂添加后等待
action_sequence.append(create_action_log("溶剂添加后短暂等待...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
# 步骤5.4: 等待溶解完成
# 等待溶解完成
if final_time > 0:
debug_print(f"🔍 5.4: 等待溶解完成 - {final_time}s")
wait_minutes = final_time / 60
action_sequence.append(create_action_log(f"开始溶解等待 ({wait_minutes:.1f}分钟)", ""))
if heatchill_id:
# 使用定时加热搅拌
action_sequence.append(create_action_log(f"使用加热搅拌器进行定时溶解", "🔥"))
dissolve_action = {
"device_id": heatchill_id,
@@ -770,7 +292,6 @@ def generate_dissolve_protocol(
elif stirrer_id:
# 使用定时搅拌
action_sequence.append(create_action_log(f"使用搅拌器进行定时溶解", "🌪️"))
stir_action = {
"device_id": stirrer_id,
@@ -787,7 +308,6 @@ def generate_dissolve_protocol(
else:
# 简单等待
action_sequence.append(create_action_log(f"简单等待溶解完成", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": final_time}
@@ -795,9 +315,7 @@ def generate_dissolve_protocol(
# 步骤5.5: 停止加热搅拌(如果需要)
if heatchill_id and final_time == 0 and final_temp > 25.0:
debug_print(f"🔍 5.5: 停止加热器")
action_sequence.append(create_action_log("停止加热搅拌器", "🛑"))
stop_action = {
"device_id": heatchill_id,
"action_name": "heat_chill_stop",
@@ -808,7 +326,7 @@ def generate_dissolve_protocol(
action_sequence.append(stop_action)
except Exception as e:
debug_print(f"溶解流程执行失败: {str(e)}")
debug_print(f"溶解流程执行失败: {str(e)}")
action_sequence.append(create_action_log(f"溶解流程失败: {str(e)}", ""))
# 添加错误日志
action_sequence.append({
@@ -829,23 +347,8 @@ def generate_dissolve_protocol(
final_liquid_volume = current_volume
# === 最终结果 ===
debug_print("=" * 60)
debug_print(f"🎉 溶解协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🥼 容器: {vessel_id}")
debug_print(f" {dissolve_emoji} 溶解类型: {dissolve_type}")
if is_liquid_dissolve:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL)")
if is_solid_dissolve:
debug_print(f" 🧪 试剂: {reagent}")
debug_print(f" ⚖️ 质量: {final_mass}g")
debug_print(f" 🧬 摩尔: {mol}")
debug_print(f" 🌡️ 温度: {final_temp}°C")
debug_print(f" ⏱️ 时间: {final_time}s")
debug_print(f" 📊 溶解前体积: {original_liquid_volume:.2f}mL")
debug_print(f" 📊 溶解后体积: {final_liquid_volume:.2f}mL")
debug_print("=" * 60)
debug_print(f"溶解协议完成: {vessel_id}, 类型={dissolve_type}, "
f"动作数={len(action_sequence)}, 体积={original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
# 添加完成日志
summary_msg = f"溶解协议完成: {vessel_id}"
@@ -854,7 +357,7 @@ def generate_dissolve_protocol(
if is_solid_dissolve:
summary_msg += f" (溶解 {final_mass}g {reagent})"
action_sequence.append(create_action_log(summary_msg, "🎉"))
action_sequence.append(create_action_log(summary_msg, ""))
return action_sequence
@@ -866,7 +369,7 @@ def dissolve_solid_by_mass(G: nx.DiGraph, vessel: dict, reagent: str, mass: Unio
temp: Union[str, float] = 25.0, time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""按质量溶解固体"""
vessel_id = vessel["id"]
debug_print(f"🧂 快速固体溶解: {reagent} ({mass}) → {vessel_id}")
debug_print(f"快速固体溶解: {reagent} ({mass}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
mass=mass,
@@ -879,7 +382,7 @@ def dissolve_solid_by_moles(G: nx.DiGraph, vessel: dict, reagent: str, mol: str,
temp: Union[str, float] = 25.0, time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""按摩尔数溶解固体"""
vessel_id = vessel["id"]
debug_print(f"🧬 按摩尔数溶解固体: {reagent} ({mol}) → {vessel_id}")
debug_print(f"按摩尔数溶解固体: {reagent} ({mol}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
mol=mol,
@@ -892,7 +395,7 @@ def dissolve_with_solvent(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
temp: Union[str, float] = 25.0, time: Union[str, float] = "5 min") -> List[Dict[str, Any]]:
"""用溶剂溶解"""
vessel_id = vessel["id"]
debug_print(f"💧 溶剂溶解: {solvent} ({volume}) → {vessel_id}")
debug_print(f"溶剂溶解: {solvent} ({volume}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -904,7 +407,7 @@ def dissolve_with_solvent(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
def dissolve_at_room_temp(G: nx.DiGraph, vessel: dict, solvent: str, volume: Union[str, float]) -> List[Dict[str, Any]]:
"""室温溶解"""
vessel_id = vessel["id"]
debug_print(f"🌡️ 室温溶解: {solvent} ({volume}) → {vessel_id}")
debug_print(f"室温溶解: {solvent} ({volume}) → {vessel_id}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -917,7 +420,7 @@ def dissolve_with_heating(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
temp: Union[str, float] = "60 °C", time: Union[str, float] = "15 min") -> List[Dict[str, Any]]:
"""加热溶解"""
vessel_id = vessel["id"]
debug_print(f"🔥 加热溶解: {solvent} ({volume}) → {vessel_id} @ {temp}")
debug_print(f"加热溶解: {solvent} ({volume}) → {vessel_id} @ {temp}")
return generate_dissolve_protocol(
G, vessel,
solvent=solvent,
@@ -929,37 +432,31 @@ def dissolve_with_heating(G: nx.DiGraph, vessel: dict, solvent: str, volume: Uni
# 测试函数
def test_dissolve_protocol():
"""测试溶解协议的各种参数解析"""
debug_print("=== DISSOLVE PROTOCOL 增强版测试 ===")
# 测试体积解析
debug_print("💧 测试体积解析...")
volumes = ["10 mL", "?", 10.0, "1 L", "500 μL"]
for vol in volumes:
result = parse_volume_input(vol)
debug_print(f"📏 体积解析: {vol}{result}mL")
debug_print(f"体积解析: {vol}{result}mL")
# 测试质量解析
debug_print("⚖️ 测试质量解析...")
masses = ["2.9 g", "?", 2.5, "500 mg"]
for mass in masses:
result = parse_mass_input(mass)
debug_print(f"⚖️ 质量解析: {mass}{result}g")
debug_print(f"质量解析: {mass}{result}g")
# 测试温度解析
debug_print("🌡️ 测试温度解析...")
temps = ["60 °C", "room temperature", "?", 25.0, "reflux"]
for temp in temps:
result = parse_temperature_input(temp)
debug_print(f"🌡️ 温度解析: {temp}{result}°C")
debug_print(f"温度解析: {temp}{result}°C")
# 测试时间解析
debug_print("⏱️ 测试时间解析...")
times = ["30 min", "1 h", "?", 60.0]
for time in times:
result = parse_time_input(time)
debug_print(f"⏱️ 时间解析: {time}{result}s")
debug_print("测试完成")
debug_print(f"时间解析: {time}{result}s")
debug_print("测试完成")
if __name__ == "__main__":
test_dissolve_protocol()

View File

@@ -1,87 +1,40 @@
import networkx as nx
from typing import List, Dict, Any
from unilabos.compile.utils.vessel_parser import get_vessel
def find_connected_heater(G: nx.DiGraph, vessel: str) -> str:
"""
查找与容器相连的加热器
Args:
G: 网络图
vessel: 容器名称
Returns:
str: 加热器ID如果没有则返回None
"""
print(f"DRY: 正在查找与容器 '{vessel}' 相连的加热器...")
# 查找所有加热器节点
heater_nodes = [node for node in G.nodes()
if ('heater' in node.lower() or
'heat' in node.lower() or
G.nodes[node].get('class') == 'virtual_heatchill' or
G.nodes[node].get('type') == 'heater')]
print(f"DRY: 找到的加热器节点: {heater_nodes}")
# 检查是否有加热器与目标容器相连
for heater in heater_nodes:
if G.has_edge(heater, vessel) or G.has_edge(vessel, heater):
print(f"DRY: 找到与容器 '{vessel}' 相连的加热器: {heater}")
return heater
# 如果没有直接连接,查找距离最近的加热器
for heater in heater_nodes:
try:
path = nx.shortest_path(G, source=heater, target=vessel)
if len(path) <= 3: # 最多2个中间节点
print(f"DRY: 找到距离较近的加热器: {heater}, 路径: {''.join(path)}")
return heater
except nx.NetworkXNoPath:
continue
print(f"DRY: 未找到与容器 '{vessel}' 相连的加热器")
return None
from .utils.vessel_parser import get_vessel, find_connected_heatchill
from .utils.logger_util import debug_print
def generate_dry_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
compound: str = "", # 🔧 修改:参数顺序调整,并设置默认值
**kwargs # 接收其他可能的参数但不使用
vessel: dict,
compound: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成干燥协议序列
Args:
G: 有向图,节点为容器和设备
vessel: 目标容器字典从XDL传入
compound: 化合物名称从XDL传入可选
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
# 默认参数
dry_temp = 60.0 # 默认干燥温度 60°C
dry_time = 3600.0 # 默认干燥时间 1小时3600秒
simulation_time = 60.0 # 模拟时间 1分钟
print(f"🌡️ DRY: 开始生成干燥协议 ✨")
print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
print(f" 🧪 化合物: {compound or '未指定'}")
print(f" 🔥 干燥温度: {dry_temp}°C")
print(f" ⏰ 干燥时间: {dry_time/60:.0f} 分钟")
# 🔧 新增:记录干燥前的容器状态
print(f"🔍 记录干燥前容器状态...")
dry_temp = 60.0
dry_time = 3600.0
simulation_time = 60.0
debug_print(f"开始生成干燥协议: vessel={vessel_id}, compound={compound or '未指定'}, temp={dry_temp}°C")
# 记录干燥前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -89,39 +42,30 @@ def generate_dry_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"📊 干燥前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
print(f"\n📋 步骤1: 验证目标容器 '{vessel_id}' 是否存在...")
if vessel_id not in G.nodes():
print(f"⚠️ DRY: 警告 - 容器 '{vessel_id}' 不存在于系统中,跳过干燥 😢")
debug_print(f"容器 '{vessel_id}' 不存在于系统中,跳过干燥")
return action_sequence
print(f"✅ 容器 '{vessel_id}' 验证通过!")
# 2. 查找相连的加热器
print(f"\n🔍 步骤2: 查找与容器相连的加热器...")
heater_id = find_connected_heater(G, vessel_id) # 🔧 使用 vessel_id
heater_id = find_connected_heatchill(G, vessel_id)
if heater_id is None:
print(f"😭 DRY: 警告 - 未找到与容器 '{vessel_id}' 相连的加热器,跳过干燥")
print(f"🎭 添加模拟干燥动作...")
# 添加一个等待动作,表示干燥过程(模拟)
debug_print(f"未找到与容器 '{vessel_id}' 相连的加热器,添加模拟干燥动作")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0, # 模拟等待时间
"time": 10.0,
"description": f"模拟干燥 {compound or '化合物'} (无加热器可用)"
}
})
# 🔧 新增:模拟干燥的体积变化(溶剂蒸发)
print(f"🔧 模拟干燥过程的体积减少...")
# 模拟干燥的体积变化
if original_liquid_volume > 0:
# 假设干燥过程中损失10%的体积(溶剂蒸发)
volume_loss = original_liquid_volume * 0.1
new_volume = max(0.0, original_liquid_volume - volume_loss)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -133,15 +77,14 @@ def generate_dry_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -149,33 +92,27 @@ def generate_dry_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
print(f"📊 模拟干燥体积变化: {original_liquid_volume:.2f}mL {new_volume:.2f}mL (-{volume_loss:.2f}mL)")
print(f"📄 DRY: 协议生成完成,共 {len(action_sequence)} 个动作 🎯")
debug_print(f"模拟干燥体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL")
debug_print(f"协议生成完成,共 {len(action_sequence)} 个动作")
return action_sequence
print(f"🎉 找到加热器: {heater_id}!")
debug_print(f"找到加热器: {heater_id}")
# 3. 启动加热器进行干燥
print(f"\n🚀 步骤3: 开始执行干燥流程...")
print(f"🔥 启动加热器 {heater_id} 进行干燥")
# 3.1 启动加热
print(f" ⚡ 动作1: 启动加热到 {dry_temp}°C...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"temp": dry_temp,
"purpose": f"干燥 {compound or '化合物'}"
}
})
print(f" ✅ 加热器启动命令已添加 🔥")
# 3.2 等待温度稳定
print(f" ⏳ 动作2: 等待温度稳定...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -183,34 +120,27 @@ def generate_dry_protocol(
"description": f"等待温度稳定到 {dry_temp}°C"
}
})
print(f" ✅ 温度稳定等待命令已添加 🌡️")
# 3.3 保持干燥温度
print(f" 🔄 动作3: 保持干燥温度 {simulation_time/60:.0f} 分钟...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"temp": dry_temp,
"time": simulation_time,
"purpose": f"干燥 {compound or '化合物'},保持温度 {dry_temp}°C"
}
})
print(f" ✅ 温度保持命令已添加 🌡️⏰")
# 🔧 新增:干燥过程中的体积变化计算
print(f"🔧 计算干燥过程中的体积变化...")
# 干燥过程中的体积变化计算
if original_liquid_volume > 0:
# 干燥过程中,溶剂会蒸发,固体保留
# 根据温度和时间估算蒸发量
evaporation_rate = 0.001 * dry_temp # 每秒每°C蒸发0.001mL
total_evaporation = min(original_liquid_volume * 0.8,
evaporation_rate * simulation_time) # 最多蒸发80%
evaporation_rate = 0.001 * dry_temp
total_evaporation = min(original_liquid_volume * 0.8,
evaporation_rate * simulation_time)
new_volume = max(0.0, original_liquid_volume - total_evaporation)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -222,15 +152,14 @@ def generate_dry_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -238,37 +167,29 @@ def generate_dry_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
print(f"📊 干燥体积变化计算:")
print(f" - 初始体积: {original_liquid_volume:.2f}mL")
print(f" - 蒸发量: {total_evaporation:.2f}mL")
print(f" - 剩余体积: {new_volume:.2f}mL")
print(f" - 蒸发率: {(total_evaporation/original_liquid_volume*100):.1f}%")
debug_print(f"干燥体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL (-{total_evaporation:.2f}mL)")
# 3.4 停止加热
print(f" ⏹️ 动作4: 停止加热...")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"purpose": f"干燥完成,停止加热"
}
})
print(f" ✅ 停止加热命令已添加 🛑")
# 3.5 等待冷却
print(f" ❄️ 动作5: 等待冷却...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 10.0, # 等待10秒冷却
"time": 10.0,
"description": f"等待 {compound or '化合物'} 冷却"
}
})
print(f" ✅ 冷却等待命令已添加 🧊")
# 🔧 新增:干燥完成后的状态报告
# 最终状态
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -276,60 +197,37 @@ def generate_dry_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
print(f"\n🎊 DRY: 协议生成完成,共 {len(action_sequence)} 个动作 🎯")
print(f"⏱️ DRY: 预计总时间: {(simulation_time + 30)/60:.0f} 分钟 ⌛")
print(f"📊 干燥结果:")
print(f" - 容器: {vessel_id}")
print(f" - 化合物: {compound or '未指定'}")
print(f" - 干燥前体积: {original_liquid_volume:.2f}mL")
print(f" - 干燥后体积: {final_liquid_volume:.2f}mL")
print(f" - 蒸发体积: {(original_liquid_volume - final_liquid_volume):.2f}mL")
print(f"🏁 所有动作序列准备就绪! ✨")
debug_print(f"干燥协议生成完成: {len(action_sequence)} 个动作, 体积 {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
return action_sequence
# 🔧 新增:便捷函数
def generate_quick_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
# 便捷函数
def generate_quick_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 40.0, time: float = 30.0) -> List[Dict[str, Any]]:
"""快速干燥:低温短时间"""
vessel_id = vessel["id"]
print(f"🌡️ 快速干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
# 临时修改默认参数
import types
temp_func = types.FunctionType(
generate_dry_protocol.__code__,
generate_dry_protocol.__globals__
)
# 直接调用原函数,但修改内部参数
return generate_dry_protocol(G, vessel, compound)
def generate_thorough_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
def generate_thorough_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 80.0, time: float = 120.0) -> List[Dict[str, Any]]:
"""深度干燥:高温长时间"""
vessel_id = vessel["id"]
print(f"🔥 深度干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
return generate_dry_protocol(G, vessel, compound)
def generate_gentle_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
def generate_gentle_dry_protocol(G: nx.DiGraph, vessel: dict, compound: str = "",
temp: float = 30.0, time: float = 180.0) -> List[Dict[str, Any]]:
"""温和干燥:低温长时间"""
vessel_id = vessel["id"]
print(f"🌡️ 温和干燥: {compound or '化合物'}{vessel_id} @ {temp}°C ({time}min)")
return generate_dry_protocol(G, vessel, compound)
# 测试函数
def test_dry_protocol():
"""测试干燥协议"""
print("=== DRY PROTOCOL 测试 ===")
print("测试完成")
debug_print("=== DRY PROTOCOL 测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_dry_protocol()
test_dry_protocol()

View File

@@ -3,38 +3,14 @@ from functools import partial
import networkx as nx
import logging
import uuid
import sys
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .utils.vessel_parser import get_vessel, find_connected_stirrer
from .utils.logger_util import debug_print, action_log
from .pump_protocol import generate_pump_protocol_with_rinsing, generate_pump_protocol
# 设置日志
logger = logging.getLogger(__name__)
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
logger.info(f"[抽真空充气] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
logger.info(f"[抽真空充气] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
logger.info(f"[抽真空充气] {fallback_message}")
create_action_log = partial(action_log, prefix="[抽真空充气]")
def find_gas_source(G: nx.DiGraph, gas: str) -> str:
@@ -44,10 +20,9 @@ def find_gas_source(G: nx.DiGraph, gas: str) -> str:
2. 气体类型匹配data.gas_type
3. 默认气源
"""
debug_print(f"🔍 正在查找气体 '{gas}' 的气源...")
# 第一步:通过容器名称匹配
debug_print(f"📋 方法1: 容器名称匹配...")
debug_print(f"正在查找气体 '{gas}' 的气源...")
# 通过容器名称匹配
gas_source_patterns = [
f"gas_source_{gas}",
f"gas_{gas}",
@@ -57,254 +32,178 @@ def find_gas_source(G: nx.DiGraph, gas: str) -> str:
f"reagent_bottle_{gas}",
f"bottle_{gas}"
]
debug_print(f"🎯 尝试的容器名称: {gas_source_patterns}")
for pattern in gas_source_patterns:
if pattern in G.nodes():
debug_print(f"通过名称找到气源: {pattern}")
debug_print(f"通过名称找到气源: {pattern}")
return pattern
# 第二步:通过气体类型匹配 (data.gas_type)
debug_print(f"📋 方法2: 气体类型匹配...")
# 通过气体类型匹配 (data.gas_type)
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
# 检查是否是气源设备
if ('gas_source' in node_class or
'gas' in node_id.lower() or
if ('gas_source' in node_class or
'gas' in node_id.lower() or
node_id.startswith('flask_')):
# 检查 data.gas_type
data = node_data.get('data', {})
gas_type = data.get('gas_type', '')
if gas_type.lower() == gas.lower():
debug_print(f"通过气体类型找到气源: {node_id} (气体类型: {gas_type})")
debug_print(f"通过气体类型找到气源: {node_id} (气体类型: {gas_type})")
return node_id
# 检查 config.gas_type
config = node_data.get('config', {})
config_gas_type = config.get('gas_type', '')
if config_gas_type.lower() == gas.lower():
debug_print(f"通过配置气体类型找到气源: {node_id} (配置气体类型: {config_gas_type})")
debug_print(f"通过配置气体类型找到气源: {node_id} (配置气体类型: {config_gas_type})")
return node_id
# 第三步:查找所有可用的气源设备
debug_print(f"📋 方法3: 查找可用气源...")
# 查找所有可用的气源设备
available_gas_sources = []
for node_id in G.nodes():
node_data = G.nodes[node_id]
node_class = node_data.get('class', '') or ''
if ('gas_source' in node_class or
if ('gas_source' in node_class or
'gas' in node_id.lower() or
(node_id.startswith('flask_') and any(g in node_id.lower() for g in ['air', 'nitrogen', 'argon']))):
data = node_data.get('data', {})
gas_type = data.get('gas_type', '未知')
available_gas_sources.append(f"{node_id} (气体类型: {gas_type})")
debug_print(f"📊 可用气源: {available_gas_sources}")
# 第四步:如果找不到特定气体,使用默认的第一个气源
debug_print(f"📋 方法4: 查找默认气源...")
# 如果找不到特定气体,使用默认的第一个气源
default_gas_sources = [
node for node in G.nodes()
node for node in G.nodes()
if ((G.nodes[node].get('class') or '').find('virtual_gas_source') != -1
or 'gas_source' in node)
]
if default_gas_sources:
default_source = default_gas_sources[0]
debug_print(f"⚠️ 未找到特定气体 '{gas}',使用默认气源: {default_source}")
debug_print(f"未找到特定气体 '{gas}',使用默认气源: {default_source}")
return default_source
debug_print(f"❌ 所有方法都失败了!")
raise ValueError(f"无法找到气体 '{gas}' 的气源。可用气源: {available_gas_sources}")
def find_vacuum_pump(G: nx.DiGraph) -> str:
"""查找真空泵设备"""
debug_print("🔍 正在查找真空泵...")
vacuum_pumps = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('virtual_vacuum_pump' in node_class or
'vacuum_pump' in node.lower() or
if ('virtual_vacuum_pump' in node_class or
'vacuum_pump' in node.lower() or
'vacuum' in node_class.lower()):
vacuum_pumps.append(node)
debug_print(f"📋 发现真空泵: {node}")
if not vacuum_pumps:
debug_print(f"❌ 系统中未找到真空泵")
raise ValueError("系统中未找到真空泵")
debug_print(f"✅ 使用真空泵: {vacuum_pumps[0]}")
return vacuum_pumps[0]
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> Optional[str]:
"""查找与指定容器相连的搅拌器"""
debug_print(f"🔍 正在查找与容器 {vessel} 连接的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_stirrer' in node_class or 'stirrer' in node.lower():
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 找到的搅拌器总数: {len(stirrer_nodes)}")
# 检查哪个搅拌器与目标容器相连
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer}")
return stirrer
# 如果没有连接的搅拌器,返回第一个可用的
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个可用的: {stirrer_nodes[0]}")
return stirrer_nodes[0]
debug_print("❌ 未找到搅拌器")
return None
if not vacuum_pumps:
raise ValueError("系统中未找到真空泵")
debug_print(f"使用真空泵: {vacuum_pumps[0]}")
return vacuum_pumps[0]
def find_vacuum_solenoid_valve(G: nx.DiGraph, vacuum_pump: str) -> Optional[str]:
"""查找真空泵相关的电磁阀"""
debug_print(f"🔍 正在查找真空泵 {vacuum_pump} 的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
debug_print(f"📋 发现电磁阀: {node}")
debug_print(f"📊 找到的电磁阀: {solenoid_valves}")
# 检查连接关系
debug_print(f"📋 方法1: 检查连接关系...")
for solenoid in solenoid_valves:
if G.has_edge(solenoid, vacuum_pump) or G.has_edge(vacuum_pump, solenoid):
debug_print(f"找到连接的真空电磁阀: {solenoid}")
debug_print(f"找到连接的真空电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找
debug_print(f"📋 方法2: 检查命名规则...")
for solenoid in solenoid_valves:
if 'vacuum' in solenoid.lower() or solenoid == 'solenoid_valve_1':
debug_print(f"通过命名找到真空电磁阀: {solenoid}")
debug_print(f"通过命名找到真空电磁阀: {solenoid}")
return solenoid
debug_print("⚠️ 未找到真空电磁阀")
debug_print("未找到真空电磁阀")
return None
def find_gas_solenoid_valve(G: nx.DiGraph, gas_source: str) -> Optional[str]:
"""查找气源相关的电磁阀"""
debug_print(f"🔍 正在查找气源 {gas_source} 的电磁阀...")
# 查找所有电磁阀
solenoid_valves = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if ('solenoid' in node_class.lower() or 'solenoid_valve' in node.lower()):
solenoid_valves.append(node)
debug_print(f"📊 找到的电磁阀: {solenoid_valves}")
# 检查连接关系
debug_print(f"📋 方法1: 检查连接关系...")
for solenoid in solenoid_valves:
if G.has_edge(gas_source, solenoid) or G.has_edge(solenoid, gas_source):
debug_print(f"找到连接的气源电磁阀: {solenoid}")
debug_print(f"找到连接的气源电磁阀: {solenoid}")
return solenoid
# 通过命名规则查找
debug_print(f"📋 方法2: 检查命名规则...")
for solenoid in solenoid_valves:
if 'gas' in solenoid.lower() or solenoid == 'solenoid_valve_2':
debug_print(f"通过命名找到气源电磁阀: {solenoid}")
debug_print(f"通过命名找到气源电磁阀: {solenoid}")
return solenoid
debug_print("⚠️ 未找到气源电磁阀")
debug_print("未找到气源电磁阀")
return None
def generate_evacuateandrefill_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
vessel: dict,
gas: str,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成抽真空和充气操作的动作序列 - 中文版
生成抽真空和充气操作的动作序列
Args:
G: 设备图
vessel: 目标容器字典(必需)
gas: 气体名称(必需)
gas: 气体名称(必需)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
# 硬编码重复次数为 3
repeats = 3
# 生成协议ID
protocol_id = str(uuid.uuid4())
debug_print(f"🆔 生成协议ID: {protocol_id}")
debug_print("=" * 60)
debug_print("🧪 开始生成抽真空充气协议")
debug_print(f"📋 原始参数:")
debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💨 气体: '{gas}'")
debug_print(f" 🔄 循环次数: {repeats} (硬编码)")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("=" * 60)
debug_print(f"开始生成抽真空充气协议: vessel={vessel_id}, gas={gas}, repeats={repeats}")
action_sequence = []
# === 参数验证和修正 ===
debug_print("🔍 步骤1: 参数验证和修正...")
action_sequence.append(create_action_log(f"开始抽真空充气操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"目标气体: {gas}", "💨"))
action_sequence.append(create_action_log(f"循环次数: {repeats}", "🔄"))
# 验证必需参数
if not vessel_id:
debug_print("❌ 容器参数不能为空")
raise ValueError("容器参数不能为空")
if not gas:
debug_print("❌ 气体参数不能为空")
raise ValueError("气体参数不能为空")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 在系统中不存在")
if vessel_id not in G.nodes():
raise ValueError(f"容器 '{vessel_id}' 在系统中不存在")
debug_print("✅ 基本参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
# 标准化气体名称
debug_print("🔧 标准化气体名称...")
gas_aliases = {
'n2': 'nitrogen',
'ar': 'argon',
@@ -319,61 +218,54 @@ def generate_evacuateandrefill_protocol(
'二氧化碳': 'carbon_dioxide',
'氢气': 'hydrogen'
}
original_gas = gas
gas_lower = gas.lower().strip()
if gas_lower in gas_aliases:
gas = gas_aliases[gas_lower]
debug_print(f"🔄 标准化气体名称: {original_gas} -> {gas}")
debug_print(f"标准化气体名称: {original_gas} -> {gas}")
action_sequence.append(create_action_log(f"气体名称标准化: {original_gas} -> {gas}", "🔄"))
debug_print(f"📋 最终参数: 容器={vessel_id}, 气体={gas}, 重复={repeats}")
debug_print(f"最终参数: 容器={vessel_id}, 气体={gas}, 重复={repeats}")
# === 查找设备 ===
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
try:
vacuum_pump = find_vacuum_pump(G)
action_sequence.append(create_action_log(f"找到真空泵: {vacuum_pump}", "🌪️"))
gas_source = find_gas_source(G, gas)
action_sequence.append(create_action_log(f"找到气源: {gas_source}", "💨"))
vacuum_solenoid = find_vacuum_solenoid_valve(G, vacuum_pump)
if vacuum_solenoid:
action_sequence.append(create_action_log(f"找到真空电磁阀: {vacuum_solenoid}", "🚪"))
else:
action_sequence.append(create_action_log("未找到真空电磁阀", "⚠️"))
gas_solenoid = find_gas_solenoid_valve(G, gas_source)
if gas_solenoid:
action_sequence.append(create_action_log(f"找到气源电磁阀: {gas_solenoid}", "🚪"))
else:
action_sequence.append(create_action_log("未找到气源电磁阀", "⚠️"))
stirrer_id = find_connected_stirrer(G, vessel_id) # 🔧 使用 vessel_id
stirrer_id = find_connected_stirrer(G, vessel_id)
if stirrer_id:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_id}", "🌪️"))
else:
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
debug_print(f"📊 设备配置:")
debug_print(f" 🌪️ 真空泵: {vacuum_pump}")
debug_print(f" 💨 气源: {gas_source}")
debug_print(f" 🚪 真空电磁阀: {vacuum_solenoid}")
debug_print(f" 🚪 气源电磁阀: {gas_solenoid}")
debug_print(f" 🌪️ 搅拌器: {stirrer_id}")
debug_print(f"设备配置: 真空泵={vacuum_pump}, 气源={gas_source}, 搅拌器={stirrer_id}")
except Exception as e:
debug_print(f"设备查找失败: {str(e)}")
debug_print(f"设备查找失败: {str(e)}")
action_sequence.append(create_action_log(f"设备查找失败: {str(e)}", ""))
raise ValueError(f"设备查找失败: {str(e)}")
# === 参数设置 ===
debug_print("🔍 步骤3: 参数设置...")
action_sequence.append(create_action_log("设置操作参数...", "⚙️"))
# 根据气体类型调整参数
if gas.lower() in ['nitrogen', 'argon']:
VACUUM_VOLUME = 25.0
@@ -381,7 +273,6 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 2.0
VACUUM_TIME = 30.0
REFILL_TIME = 20.0
debug_print("💨 惰性气体: 使用标准参数")
action_sequence.append(create_action_log("检测到惰性气体,使用标准参数", "💨"))
elif gas.lower() in ['air', 'oxygen']:
VACUUM_VOLUME = 20.0
@@ -389,7 +280,6 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 1.5
VACUUM_TIME = 45.0
REFILL_TIME = 25.0
debug_print("🔥 活性气体: 使用保守参数")
action_sequence.append(create_action_log("检测到活性气体,使用保守参数", "🔥"))
else:
VACUUM_VOLUME = 15.0
@@ -397,116 +287,88 @@ def generate_evacuateandrefill_protocol(
PUMP_FLOW_RATE = 1.0
VACUUM_TIME = 60.0
REFILL_TIME = 30.0
debug_print("❓ 未知气体: 使用安全参数")
action_sequence.append(create_action_log("未知气体类型,使用安全参数", ""))
STIR_SPEED = 200.0
debug_print(f"⚙️ 操作参数:")
debug_print(f" 📏 真空体积: {VACUUM_VOLUME}mL")
debug_print(f" 📏 充气体积: {REFILL_VOLUME}mL")
debug_print(f" ⚡ 泵流速: {PUMP_FLOW_RATE}mL/s")
debug_print(f" ⏱️ 真空时间: {VACUUM_TIME}s")
debug_print(f" ⏱️ 充气时间: {REFILL_TIME}s")
debug_print(f" 🌪️ 搅拌速度: {STIR_SPEED}RPM")
action_sequence.append(create_action_log(f"真空体积: {VACUUM_VOLUME}mL", "📏"))
action_sequence.append(create_action_log(f"充气体积: {REFILL_VOLUME}mL", "📏"))
action_sequence.append(create_action_log(f"泵流速: {PUMP_FLOW_RATE}mL/s", ""))
# === 路径验证 ===
debug_print("🔍 步骤4: 路径验证...")
action_sequence.append(create_action_log("验证传输路径...", "🛤️"))
try:
# 验证抽真空路径
if nx.has_path(G, vessel_id, vacuum_pump): # 🔧 使用 vessel_id
if nx.has_path(G, vessel_id, vacuum_pump):
vacuum_path = nx.shortest_path(G, source=vessel_id, target=vacuum_pump)
debug_print(f"✅ 真空路径: {' -> '.join(vacuum_path)}")
action_sequence.append(create_action_log(f"真空路径: {' -> '.join(vacuum_path)}", "🛤️"))
else:
debug_print(f"⚠️ 真空路径不存在,继续执行但可能有问题")
action_sequence.append(create_action_log("真空路径检查: 路径不存在", "⚠️"))
# 验证充气路径
if nx.has_path(G, gas_source, vessel_id): # 🔧 使用 vessel_id
if nx.has_path(G, gas_source, vessel_id):
gas_path = nx.shortest_path(G, source=gas_source, target=vessel_id)
debug_print(f"✅ 气体路径: {' -> '.join(gas_path)}")
action_sequence.append(create_action_log(f"气体路径: {' -> '.join(gas_path)}", "🛤️"))
else:
debug_print(f"⚠️ 气体路径不存在,继续执行但可能有问题")
action_sequence.append(create_action_log("气体路径检查: 路径不存在", "⚠️"))
except Exception as e:
debug_print(f"⚠️ 路径验证失败: {str(e)},继续执行")
action_sequence.append(create_action_log(f"路径验证失败: {str(e)}", "⚠️"))
# === 启动搅拌器 ===
debug_print("🔍 步骤5: 启动搅拌器...")
if stirrer_id:
debug_print(f"🌪️ 启动搅拌器: {stirrer_id}")
action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {STIR_SPEED}rpm)", "🌪️"))
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"stir_speed": STIR_SPEED,
"purpose": "抽真空充气前预搅拌"
}
})
# 等待搅拌稳定
action_sequence.append(create_action_log("等待搅拌稳定...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
else:
debug_print("⚠️ 未找到搅拌器,跳过搅拌器启动")
action_sequence.append(create_action_log("跳过搅拌器启动", "⏭️"))
# === 执行循环 ===
debug_print("🔍 步骤6: 执行抽真空-充气循环...")
action_sequence.append(create_action_log(f"开始 {repeats} 次抽真空-充气循环", "🔄"))
for cycle in range(repeats):
debug_print(f"=== 第 {cycle+1}/{repeats} 轮循环 ===")
action_sequence.append(create_action_log(f"{cycle+1}/{repeats} 轮循环开始", "🚀"))
# ============ 抽真空阶段 ============
debug_print(f"🌪️ 抽真空阶段开始")
action_sequence.append(create_action_log("开始抽真空阶段", "🌪️"))
# 启动真空泵
debug_print(f"🔛 启动真空泵: {vacuum_pump}")
action_sequence.append(create_action_log(f"启动真空泵: {vacuum_pump}", "🔛"))
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
"action_kwargs": {"string": "ON"}
})
# 开启真空电磁阀
if vacuum_solenoid:
debug_print(f"🚪 打开真空电磁阀: {vacuum_solenoid}")
action_sequence.append(create_action_log(f"打开真空电磁阀: {vacuum_solenoid}", "🚪"))
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# 抽真空操作
debug_print(f"🌪️ 抽真空操作: {vessel_id} -> {vacuum_pump}")
action_sequence.append(create_action_log(f"开始抽真空: {vessel_id} -> {vacuum_pump}", "🌪️"))
try:
vacuum_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=vessel_id, # 🔧 使用 vessel_id
from_vessel=vessel_id,
to_vessel=vacuum_pump,
volume=VACUUM_VOLUME,
amount="",
@@ -519,27 +381,25 @@ def generate_evacuateandrefill_protocol(
flowrate=PUMP_FLOW_RATE,
transfer_flowrate=PUMP_FLOW_RATE
)
if vacuum_transfer_actions:
action_sequence.extend(vacuum_transfer_actions)
debug_print(f"✅ 添加了 {len(vacuum_transfer_actions)} 个抽真空动作")
action_sequence.append(create_action_log(f"抽真空协议完成 ({len(vacuum_transfer_actions)} 个操作)", ""))
else:
debug_print("⚠️ 抽真空协议返回空序列,添加手动动作")
action_sequence.append(create_action_log("抽真空协议为空,使用手动等待", "⚠️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
except Exception as e:
debug_print(f"抽真空失败: {str(e)}")
debug_print(f"抽真空失败: {str(e)}")
action_sequence.append(create_action_log(f"抽真空失败: {str(e)}", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 抽真空后等待
wait_minutes = VACUUM_TIME / 60
action_sequence.append(create_action_log(f"抽真空后等待 ({wait_minutes:.1f} 分钟)", ""))
@@ -547,65 +407,59 @@ def generate_evacuateandrefill_protocol(
"action_name": "wait",
"action_kwargs": {"time": VACUUM_TIME}
})
# 关闭真空电磁阀
if vacuum_solenoid:
debug_print(f"🚪 关闭真空电磁阀: {vacuum_solenoid}")
action_sequence.append(create_action_log(f"关闭真空电磁阀: {vacuum_solenoid}", "🚪"))
action_sequence.append({
"device_id": vacuum_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "CLOSED"}
})
# 关闭真空泵
debug_print(f"🔴 停止真空泵: {vacuum_pump}")
action_sequence.append(create_action_log(f"停止真空泵: {vacuum_pump}", "🔴"))
action_sequence.append({
"device_id": vacuum_pump,
"action_name": "set_status",
"action_kwargs": {"string": "OFF"}
})
# 阶段间等待
action_sequence.append(create_action_log("抽真空阶段完成,短暂等待", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
# ============ 充气阶段 ============
debug_print(f"💨 充气阶段开始")
action_sequence.append(create_action_log("开始气体充气阶段", "💨"))
# 启动气源
debug_print(f"🔛 启动气源: {gas_source}")
action_sequence.append(create_action_log(f"启动气源: {gas_source}", "🔛"))
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
"action_kwargs": {"string": "ON"}
})
# 开启气源电磁阀
if gas_solenoid:
debug_print(f"🚪 打开气源电磁阀: {gas_solenoid}")
action_sequence.append(create_action_log(f"打开气源电磁阀: {gas_solenoid}", "🚪"))
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "OPEN"}
})
# 充气操作
debug_print(f"💨 充气操作: {gas_source} -> {vessel_id}")
action_sequence.append(create_action_log(f"开始气体充气: {gas_source} -> {vessel_id}", "💨"))
try:
gas_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=gas_source,
to_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=vessel_id,
volume=REFILL_VOLUME,
amount="",
time=0.0,
@@ -617,27 +471,25 @@ def generate_evacuateandrefill_protocol(
flowrate=PUMP_FLOW_RATE,
transfer_flowrate=PUMP_FLOW_RATE
)
if gas_transfer_actions:
action_sequence.extend(gas_transfer_actions)
debug_print(f"✅ 添加了 {len(gas_transfer_actions)} 个充气动作")
action_sequence.append(create_action_log(f"气体充气协议完成 ({len(gas_transfer_actions)} 个操作)", ""))
else:
debug_print("⚠️ 充气协议返回空序列,添加手动动作")
action_sequence.append(create_action_log("充气协议为空,使用手动等待", "⚠️"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
except Exception as e:
debug_print(f"气体充气失败: {str(e)}")
debug_print(f"气体充气失败: {str(e)}")
action_sequence.append(create_action_log(f"气体充气失败: {str(e)}", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 充气后等待
refill_wait_minutes = REFILL_TIME / 60
action_sequence.append(create_action_log(f"充气后等待 ({refill_wait_minutes:.1f} 分钟)", ""))
@@ -645,29 +497,26 @@ def generate_evacuateandrefill_protocol(
"action_name": "wait",
"action_kwargs": {"time": REFILL_TIME}
})
# 关闭气源电磁阀
if gas_solenoid:
debug_print(f"🚪 关闭气源电磁阀: {gas_solenoid}")
action_sequence.append(create_action_log(f"关闭气源电磁阀: {gas_solenoid}", "🚪"))
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
"action_kwargs": {"command": "CLOSED"}
})
# 关闭气源
debug_print(f"🔴 停止气源: {gas_source}")
action_sequence.append(create_action_log(f"停止气源: {gas_source}", "🔴"))
action_sequence.append({
"device_id": gas_source,
"action_name": "set_status",
"action_kwargs": {"string": "OFF"}
})
# 循环间等待
if cycle < repeats - 1:
debug_print(f"⏳ 等待下一个循环...")
action_sequence.append(create_action_log("等待下一个循环...", ""))
action_sequence.append({
"action_name": "wait",
@@ -675,78 +524,58 @@ def generate_evacuateandrefill_protocol(
})
else:
action_sequence.append(create_action_log(f"{cycle+1}/{repeats} 轮循环完成", ""))
# === 停止搅拌器 ===
debug_print("🔍 步骤7: 停止搅拌器...")
if stirrer_id:
debug_print(f"🛑 停止搅拌器: {stirrer_id}")
action_sequence.append(create_action_log(f"停止搅拌器: {stirrer_id}", "🛑"))
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {"vessel": {"id": vessel_id},} # 🔧 使用 vessel_id
"action_kwargs": {"vessel": {"id": vessel_id},}
})
else:
action_sequence.append(create_action_log("跳过搅拌器停止", "⏭️"))
# === 最终等待 ===
action_sequence.append(create_action_log("最终稳定等待...", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# === 总结 ===
total_time = (VACUUM_TIME + REFILL_TIME + 25) * repeats + 20
debug_print("=" * 60)
debug_print(f"🎉 抽真空充气协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time/60:.1f} 分钟)")
debug_print(f" 🥼 处理容器: {vessel_id}")
debug_print(f" 💨 使用气体: {gas}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print("=" * 60)
# 添加完成日志
debug_print(f"抽真空充气协议生成完成: {len(action_sequence)} 个动作, 预计 {total_time:.0f}s")
summary_msg = f"抽真空充气协议完成: {vessel_id} (使用 {gas}{repeats} 次循环)"
action_sequence.append(create_action_log(summary_msg, "🎉"))
return action_sequence
# === 便捷函数 ===
def generate_nitrogen_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
def generate_nitrogen_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
"""生成氮气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成氮气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "nitrogen", **kwargs)
def generate_argon_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
def generate_argon_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
"""生成氩气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成氩气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "argon", **kwargs)
def generate_air_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
def generate_air_purge_protocol(G: nx.DiGraph, vessel: dict, **kwargs) -> List[Dict[str, Any]]:
"""生成空气置换协议"""
vessel_id = vessel["id"]
debug_print(f"💨 生成空气置换协议: {vessel_id}")
return generate_evacuateandrefill_protocol(G, vessel, "air", **kwargs)
def generate_inert_atmosphere_protocol(G: nx.DiGraph, vessel: dict, gas: str = "nitrogen", **kwargs) -> List[Dict[str, Any]]: # 🔧 修改参数类型
def generate_inert_atmosphere_protocol(G: nx.DiGraph, vessel: dict, gas: str = "nitrogen", **kwargs) -> List[Dict[str, Any]]:
"""生成惰性气氛协议"""
vessel_id = vessel["id"]
debug_print(f"🛡️ 生成惰性气氛协议: {vessel_id} (使用 {gas})")
return generate_evacuateandrefill_protocol(G, vessel, gas, **kwargs)
# 测试函数
def test_evacuateandrefill_protocol():
"""测试抽真空充气协议"""
debug_print("=== 抽真空充气协议增强中文版测试 ===")
debug_print("测试完成")
debug_print("=== 抽真空充气协议测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_evacuateandrefill_protocol()
test_evacuateandrefill_protocol()

View File

@@ -1,143 +0,0 @@
# import numpy as np
# import networkx as nx
# def generate_evacuateandrefill_protocol(
# G: nx.DiGraph,
# vessel: str,
# gas: str,
# repeats: int = 1
# ) -> list[dict]:
# """
# 生成泵操作的动作序列。
# :param G: 有向图, 节点为容器和注射泵, 边为流体管道, A→B边的属性为管道接A端的阀门位置
# :param from_vessel: 容器A
# :param to_vessel: 容器B
# :param volume: 转移的体积
# :param flowrate: 最终注入容器B时的流速
# :param transfer_flowrate: 泵骨架中转移流速(若不指定,默认与注入流速相同)
# :return: 泵操作的动作序列
# """
# # 生成电磁阀、真空泵、气源操作的动作序列
# vacuum_action_sequence = []
# nodes = G.nodes(data=True)
# # 找到和 vessel 相连的电磁阀和真空泵、气源
# vacuum_backbone = {"vessel": vessel}
# for neighbor in G.neighbors(vessel):
# if nodes[neighbor]["class"].startswith("solenoid_valve"):
# for neighbor2 in G.neighbors(neighbor):
# if neighbor2 == vessel:
# continue
# if nodes[neighbor2]["class"].startswith("vacuum_pump"):
# vacuum_backbone.update({"vacuum_valve": neighbor, "pump": neighbor2})
# break
# elif nodes[neighbor2]["class"].startswith("gas_source"):
# vacuum_backbone.update({"gas_valve": neighbor, "gas": neighbor2})
# break
# # 判断是否设备齐全
# if len(vacuum_backbone) < 5:
# print(f"\n\n\n{vacuum_backbone}\n\n\n")
# raise ValueError("Not all devices are connected to the vessel.")
# # 生成操作的动作序列
# for i in range(repeats):
# # 打开真空泵阀门、关闭气源阀门
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["vacuum_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "OPEN"
# }
# },
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# }
# ])
# # 打开真空泵、关闭气源
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["pump"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "ON"
# }
# },
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# }
# ])
# vacuum_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 60}})
# # 关闭真空泵阀门、打开气源阀门
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["vacuum_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# },
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "OPEN"
# }
# }
# ])
# # 关闭真空泵、打开气源
# vacuum_action_sequence.append([
# {
# "device_id": vacuum_backbone["pump"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# },
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "ON"
# }
# }
# ])
# vacuum_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 60}})
# # 关闭气源
# vacuum_action_sequence.append(
# {
# "device_id": vacuum_backbone["gas"],
# "action_name": "set_status",
# "action_kwargs": {
# "string": "OFF"
# }
# }
# )
# # 关闭阀门
# vacuum_action_sequence.append(
# {
# "device_id": vacuum_backbone["gas_valve"],
# "action_name": "set_valve_position",
# "action_kwargs": {
# "command": "CLOSED"
# }
# }
# )
# return vacuum_action_sequence

View File

@@ -4,128 +4,99 @@ import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
from .utils.logger_util import debug_print
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[EVAPORATE] {message}")
def find_rotavap_device(G: nx.DiGraph, vessel: str = None) -> Optional[str]:
"""
在组态图中查找旋转蒸发仪设备
Args:
G: 设备图
vessel: 指定的设备名称(可选)
Returns:
str: 找到的旋转蒸发仪设备ID如果没找到返回None
"""
debug_print("🔍 开始查找旋转蒸发仪设备... 🌪️")
# 如果指定了vessel先检查是否存在且是旋转蒸发仪
if vessel:
debug_print(f"🎯 检查指定设备: {vessel} 🔧")
if vessel in G.nodes():
node_data = G.nodes[vessel]
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
debug_print(f"📋 设备信息 {vessel}: class={node_class}, type={node_type}")
# 检查是否为旋转蒸发仪
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
debug_print(f"🎉 找到指定的旋转蒸发仪: {vessel}")
debug_print(f"找到指定的旋转蒸发仪: {vessel}")
return vessel
elif node_type == 'device':
debug_print(f"指定设备存在,尝试直接使用: {vessel} 🔧")
debug_print(f"指定设备存在,尝试直接使用: {vessel}")
return vessel
else:
debug_print(f"❌ 指定的设备 {vessel} 不存在 😞")
# 在所有设备中查找旋转蒸发仪
debug_print("🔎 在所有设备中搜索旋转蒸发仪... 🕵️‍♀️")
rotavap_candidates = []
for node_id, node_data in G.nodes(data=True):
node_class = node_data.get('class', '')
node_type = node_data.get('type', '')
# 跳过非设备节点
if node_type != 'device':
continue
# 检查设备类型
if any(keyword in str(node_class).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"🌟 找到旋转蒸发仪候选: {node_id} (class: {node_class}) 🌪️")
elif any(keyword in str(node_id).lower() for keyword in ['rotavap', 'rotary', 'evaporat']):
rotavap_candidates.append(node_id)
debug_print(f"🌟 找到旋转蒸发仪候选 (按名称): {node_id} 🌪️")
if rotavap_candidates:
selected = rotavap_candidates[0] # 选择第一个找到的
debug_print(f"🎯 选择旋转蒸发仪: {selected} 🏆")
selected = rotavap_candidates[0]
debug_print(f"选择旋转蒸发仪: {selected}")
return selected
debug_print("😭 未找到旋转蒸发仪设备 💔")
debug_print("未找到旋转蒸发仪设备")
return None
def find_connected_vessel(G: nx.DiGraph, rotavap_device: str) -> Optional[str]:
"""
查找与旋转蒸发仪连接的容器
Args:
G: 设备图
rotavap_device: 旋转蒸发仪设备ID
Returns:
str: 连接的容器ID如果没找到返回None
"""
debug_print(f"🔗 查找与 {rotavap_device} 连接的容器... 🥽")
# 查看旋转蒸发仪的子设备
rotavap_data = G.nodes[rotavap_device]
children = rotavap_data.get('children', [])
debug_print(f"👶 检查子设备: {children}")
for child_id in children:
if child_id in G.nodes():
child_data = G.nodes[child_id]
child_type = child_data.get('type', '')
if child_type == 'container':
debug_print(f"🎉 找到连接的容器: {child_id} 🥽✨")
debug_print(f"找到连接的容器: {child_id}")
return child_id
# 查看邻接的容器
debug_print("🤝 检查邻接设备...")
for neighbor in G.neighbors(rotavap_device):
neighbor_data = G.nodes[neighbor]
neighbor_type = neighbor_data.get('type', '')
if neighbor_type == 'container':
debug_print(f"🎉 找到邻接的容器: {neighbor} 🥽✨")
debug_print(f"找到邻接的容器: {neighbor}")
return neighbor
debug_print("😞 未找到连接的容器 💔")
debug_print("未找到连接的容器")
return None
def generate_evaporate_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
vessel: dict,
pressure: float = 0.1,
temp: float = 60.0,
time: Union[str, float] = "180", # 🔧 修改:支持字符串时间
time: Union[str, float] = "180",
stir_speed: float = 100.0,
solvent: str = "",
**kwargs
) -> List[Dict[str, Any]]:
"""
生成蒸发操作的协议序列 - 支持单位和体积运算
Args:
G: 设备图
vessel: 容器字典从XDL传入
@@ -135,27 +106,16 @@ def generate_evaporate_protocol(
stir_speed: 旋转速度 (RPM)默认100
solvent: 溶剂名称(用于参数优化)
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌟" * 20)
debug_print("🌪️ 开始生成蒸发协议(支持单位和体积运算)✨")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 💨 pressure: {pressure} bar")
debug_print(f" 🌡️ temp: {temp}°C")
debug_print(f" ⏰ time: {time} (类型: {type(time)})")
debug_print(f" 🌪️ stir_speed: {stir_speed} RPM")
debug_print(f" 🧪 solvent: '{solvent}'")
debug_print("🌟" * 20)
# 🔧 新增:记录蒸发前的容器状态
debug_print("🔍 记录蒸发前容器状态...")
debug_print(f"开始生成蒸发协议: vessel={vessel_id}, pressure={pressure}, temp={temp}, time={time}")
# 记录蒸发前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -163,168 +123,97 @@ def generate_evaporate_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 蒸发前液体体积: {original_liquid_volume:.2f}mL")
# === 步骤1: 查找旋转蒸发仪设备 ===
debug_print("📍 步骤1: 查找旋转蒸发仪设备... 🔍")
# 验证vessel参数
if not vessel_id:
debug_print("❌ vessel 参数不能为空! 😱")
raise ValueError("vessel 参数不能为空")
# 查找旋转蒸发仪设备
if not vessel_id:
raise ValueError("vessel 参数不能为空")
rotavap_device = find_rotavap_device(G, vessel_id)
if not rotavap_device:
debug_print("💥 未找到旋转蒸发仪设备! 😭")
raise ValueError(f"未找到旋转蒸发仪设备。请检查组态图中是否包含 class 包含 'rotavap''rotary''evaporat' 的设备")
debug_print(f"🎉 成功找到旋转蒸发仪: {rotavap_device}")
# === 步骤2: 确定目标容器 ===
debug_print("📍 步骤2: 确定目标容器... 🥽")
# 确定目标容器
target_vessel = vessel_id
# 如果vessel就是旋转蒸发仪设备查找连接的容器
if vessel_id == rotavap_device:
debug_print("🔄 vessel就是旋转蒸发仪查找连接的容器...")
connected_vessel = find_connected_vessel(G, rotavap_device)
if connected_vessel:
target_vessel = connected_vessel
debug_print(f"✅ 使用连接的容器: {target_vessel} 🥽✨")
else:
debug_print(f"⚠️ 未找到连接的容器,使用设备本身: {rotavap_device} 🔧")
target_vessel = rotavap_device
elif vessel_id in G.nodes() and G.nodes[vessel_id].get('type') == 'container':
debug_print(f"✅ 使用指定的容器: {vessel_id} 🥽✨")
target_vessel = vessel_id
else:
debug_print(f"⚠️ 容器 '{vessel_id}' 不存在或类型不正确,使用旋转蒸发仪设备: {rotavap_device} 🔧")
target_vessel = rotavap_device
# === 🔧 新增步骤3单位解析处理 ===
debug_print("📍 步骤3: 单位解析处理... ⚡")
# 解析时间
# 单位解析处理
final_time = parse_time_input(time)
debug_print(f"🎯 时间解析完成: {time} {final_time}s ({final_time/60:.1f}分钟) ⏰✨")
# === 步骤4: 参数验证和修正 ===
debug_print("📍 步骤4: 参数验证和修正... 🔧")
# 修正参数范围
debug_print(f"时间解析: {time} -> {final_time}s ({final_time/60:.1f}分钟)")
# 参数验证和修正
if pressure <= 0 or pressure > 1.0:
debug_print(f"⚠️ 真空度 {pressure} bar 超出范围,修正为 0.1 bar 💨")
pressure = 0.1
else:
debug_print(f"✅ 真空度 {pressure} bar 在正常范围内 💨")
if temp < 10.0 or temp > 200.0:
debug_print(f"⚠️ 温度 {temp}°C 超出范围,修正为 60°C 🌡️")
temp = 60.0
else:
debug_print(f"✅ 温度 {temp}°C 在正常范围内 🌡️")
if final_time <= 0:
debug_print(f"⚠️ 时间 {final_time}s 无效,修正为 180s (3分钟) ⏰")
final_time = 180.0
else:
debug_print(f"✅ 时间 {final_time}s ({final_time/60:.1f}分钟) 有效 ⏰")
if stir_speed < 10.0 or stir_speed > 300.0:
debug_print(f"⚠️ 旋转速度 {stir_speed} RPM 超出范围,修正为 100 RPM 🌪️")
stir_speed = 100.0
else:
debug_print(f"✅ 旋转速度 {stir_speed} RPM 在正常范围内 🌪️")
# 根据溶剂优化参数
if solvent:
debug_print(f"🧪 根据溶剂 '{solvent}' 优化参数... 🔬")
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'aqueous', 'h2o']):
temp = max(temp, 80.0)
pressure = max(pressure, 0.2)
debug_print("💧 水系溶剂:提高温度和真空度 🌡️💨")
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
temp = min(temp, 50.0)
pressure = min(pressure, 0.05)
debug_print("🍺 易挥发溶剂:降低温度和真空度 🌡️💨")
elif any(s in solvent_lower for s in ['dmso', 'dmi', 'toluene']):
temp = max(temp, 100.0)
pressure = min(pressure, 0.01)
debug_print("🔥 高沸点溶剂:提高温度,降低真空度 🌡️💨")
else:
debug_print("🧪 通用溶剂,使用标准参数 ✨")
else:
debug_print("🤷‍♀️ 未指定溶剂,使用默认参数 ✨")
debug_print(f"🎯 最终参数: pressure={pressure} bar 💨, temp={temp}°C 🌡️, time={final_time}s ⏰, stir_speed={stir_speed} RPM 🌪️")
# === 🔧 新增步骤5蒸发体积计算 ===
debug_print("📍 步骤5: 蒸发体积计算... 📊")
# 根据温度、真空度、时间和溶剂类型估算蒸发量
debug_print(f"最终参数: pressure={pressure}bar, temp={temp}°C, time={final_time}s, stir_speed={stir_speed}RPM")
# 蒸发体积计算
evaporation_volume = 0.0
if original_liquid_volume > 0:
# 基础蒸发速率mL/min
base_evap_rate = 0.5 # 基础速率
# 温度系数(高温蒸发更快)
base_evap_rate = 0.5
temp_factor = 1.0 + (temp - 25.0) / 100.0
# 真空系数(真空度越高蒸发越快)
vacuum_factor = 1.0 + (1.0 - pressure) * 2.0
# 溶剂系数
solvent_factor = 1.0
if solvent:
solvent_lower = solvent.lower()
if any(s in solvent_lower for s in ['water', 'h2o']):
solvent_factor = 0.8 # 水蒸发较慢
solvent_factor = 0.8
elif any(s in solvent_lower for s in ['ethanol', 'methanol', 'acetone']):
solvent_factor = 1.5 # 易挥发溶剂蒸发快
solvent_factor = 1.5
elif any(s in solvent_lower for s in ['dmso', 'dmi']):
solvent_factor = 0.3 # 高沸点溶剂蒸发慢
# 计算总蒸发量
solvent_factor = 0.3
total_evap_rate = base_evap_rate * temp_factor * vacuum_factor * solvent_factor
evaporation_volume = min(
original_liquid_volume * 0.95, # 最多蒸发95%
total_evap_rate * (final_time / 60.0) # 时间相关的蒸发量
original_liquid_volume * 0.95,
total_evap_rate * (final_time / 60.0)
)
debug_print(f"📊 蒸发量计算:")
debug_print(f" - 基础蒸发速率: {base_evap_rate} mL/min")
debug_print(f" - 温度系数: {temp_factor:.2f} (基于 {temp}°C)")
debug_print(f" - 真空系数: {vacuum_factor:.2f} (基于 {pressure} bar)")
debug_print(f" - 溶剂系数: {solvent_factor:.2f} ({solvent or '通用'})")
debug_print(f" - 总蒸发速率: {total_evap_rate:.2f} mL/min")
debug_print(f" - 预计蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/original_liquid_volume*100:.1f}%)")
# === 步骤6: 生成动作序列 ===
debug_print("📍 步骤6: 生成动作序列... 🎬")
debug_print(f"预计蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/original_liquid_volume*100:.1f}%)")
# 生成动作序列
action_sequence = []
# 1. 等待稳定
debug_print(" 🔄 动作1: 添加初始等待稳定... ⏳")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
})
debug_print(" ✅ 初始等待动作已添加 ⏳✨")
# 2. 执行蒸发
debug_print(f" 🌪️ 动作2: 执行蒸发操作...")
debug_print(f" 🔧 设备: {rotavap_device}")
debug_print(f" 🥽 容器: {target_vessel}")
debug_print(f" 💨 真空度: {pressure} bar")
debug_print(f" 🌡️ 温度: {temp}°C")
debug_print(f" ⏰ 时间: {final_time}s ({final_time/60:.1f}分钟)")
debug_print(f" 🌪️ 旋转速度: {stir_speed} RPM")
evaporate_action = {
"device_id": rotavap_device,
"action_name": "evaporate",
@@ -332,20 +221,17 @@ def generate_evaporate_protocol(
"vessel": {"id": target_vessel},
"pressure": float(pressure),
"temp": float(temp),
"time": float(final_time), # 🔧 强制转换为float类型
"time": float(final_time),
"stir_speed": float(stir_speed),
"solvent": str(solvent)
}
}
action_sequence.append(evaporate_action)
debug_print(" ✅ 蒸发动作已添加 🌪️✨")
# 🔧 新增:蒸发过程中的体积变化
debug_print(" 🔧 更新容器体积 - 蒸发过程...")
# 蒸发过程中的体积变化
if evaporation_volume > 0:
new_volume = max(0.0, original_liquid_volume - evaporation_volume)
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -357,15 +243,14 @@ def generate_evaporate_protocol(
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 🔧 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
@@ -373,18 +258,16 @@ def generate_evaporate_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f" 📊 蒸发体积变化: {original_liquid_volume:.2f}mL {new_volume:.2f}mL (-{evaporation_volume:.2f}mL)")
debug_print(f"蒸发体积变化: {original_liquid_volume:.2f}mL -> {new_volume:.2f}mL (-{evaporation_volume:.2f}mL)")
# 3. 蒸发后等待
debug_print(" 🔄 动作3: 添加蒸发后等待... ⏳")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10}
})
debug_print(" ✅ 蒸发后等待动作已添加 ⏳✨")
# 🔧 新增:蒸发完成后的状态报告
# 最终状态
final_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -392,19 +275,7 @@ def generate_evaporate_protocol(
final_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_liquid_volume = current_volume
# === 总结 ===
debug_print("🎊" * 20)
debug_print(f"🎉 蒸发协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)} 个 📝")
debug_print(f"🌪️ 旋转蒸发仪: {rotavap_device} 🔧")
debug_print(f"🥽 目标容器: {target_vessel} 🧪")
debug_print(f"⚙️ 蒸发参数: {pressure} bar 💨, {temp}°C 🌡️, {final_time}s ⏰, {stir_speed} RPM 🌪️")
debug_print(f"⏱️ 预计总时间: {(final_time + 20)/60:.1f} 分钟 ⌛")
debug_print(f"📊 体积变化:")
debug_print(f" - 蒸发前: {original_liquid_volume:.2f}mL")
debug_print(f" - 蒸发后: {final_liquid_volume:.2f}mL")
debug_print(f" - 蒸发量: {evaporation_volume:.2f}mL ({evaporation_volume/max(original_liquid_volume, 0.01)*100:.1f}%)")
debug_print("🎊" * 20)
debug_print(f"蒸发协议生成完成: {len(action_sequence)} 个动作, 设备={rotavap_device}, 容器={target_vessel}")
return action_sequence

View File

@@ -2,87 +2,64 @@ from typing import List, Dict, Any, Optional
import networkx as nx
import logging
from .utils.vessel_parser import get_vessel
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[FILTER] {message}")
def find_filter_device(G: nx.DiGraph) -> str:
"""查找过滤器设备"""
debug_print("🔍 查找过滤器设备... 🌊")
# 查找过滤器设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'filter' in node_class.lower() or 'filter' in node.lower():
debug_print(f"🎉 找到过滤器设备: {node}")
debug_print(f"找到过滤器设备: {node}")
return node
# 如果没找到,寻找可能的过滤器名称
debug_print("🔎 在预定义名称中搜索过滤器... 📋")
possible_names = ["filter", "filter_1", "virtual_filter", "filtration_unit"]
for name in possible_names:
if name in G.nodes():
debug_print(f"🎉 找到过滤器设备: {name}")
debug_print(f"找到过滤器设备: {name}")
return name
debug_print("😭 未找到过滤器设备 💔")
raise ValueError("未找到过滤器设备")
def validate_vessel(G: nx.DiGraph, vessel: str, vessel_type: str = "容器") -> None:
"""验证容器是否存在"""
debug_print(f"🔍 验证{vessel_type}: '{vessel}' 🧪")
if not vessel:
debug_print(f"{vessel_type}不能为空! 😱")
raise ValueError(f"{vessel_type}不能为空")
if vessel not in G.nodes():
debug_print(f"{vessel_type} '{vessel}' 不存在于系统中! 😞")
raise ValueError(f"{vessel_type} '{vessel}' 不存在于系统中")
debug_print(f"{vessel_type} '{vessel}' 验证通过 🎯")
def generate_filter_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
vessel: dict,
filtrate_vessel: dict = {"id": "waste"},
**kwargs
) -> List[Dict[str, Any]]:
"""
生成过滤操作的协议序列 - 支持体积运算
Args:
G: 设备图
vessel: 过滤容器字典(必需)- 包含需要过滤的混合物
filtrate_vessel: 滤液容器名称(可选)- 如果提供则收集滤液
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 过滤操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
filtrate_vessel_id, filtrate_vessel_data = get_vessel(filtrate_vessel)
debug_print("🌊" * 20)
debug_print("🚀 开始生成过滤协议(支持体积运算)✨")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🧪 filtrate_vessel: {filtrate_vessel}")
debug_print(f" ⚙️ 其他参数: {kwargs}")
debug_print("🌊" * 20)
debug_print(f"开始生成过滤协议: vessel={vessel_id}, filtrate_vessel={filtrate_vessel_id}")
action_sequence = []
# 🔧 新增:记录过滤前的容器状态
debug_print("🔍 记录过滤前容器状态...")
# 记录过滤前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -90,79 +67,45 @@ def generate_filter_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 过滤前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证 ===
debug_print("📍 步骤1: 参数验证... 🔧")
# 验证必需参数
debug_print(" 🔍 验证必需参数...")
validate_vessel(G, vessel_id, "过滤容器") # 🔧 使用 vessel_id
debug_print(" ✅ 必需参数验证完成 🎯")
# 验证可选参数
debug_print(" 🔍 验证可选参数...")
validate_vessel(G, vessel_id, "过滤容器")
if filtrate_vessel:
validate_vessel(G, filtrate_vessel_id, "滤液容器")
debug_print(" 🌊 模式: 过滤并收集滤液 💧")
else:
debug_print(" 🧱 模式: 过滤并收集固体 🔬")
debug_print(" ✅ 可选参数验证完成 🎯")
# === 查找设备 ===
debug_print("📍 步骤2: 查找设备... 🔍")
try:
debug_print(" 🔎 搜索过滤器设备...")
filter_device = find_filter_device(G)
debug_print(f" 🎉 使用过滤器设备: {filter_device} 🌊✨")
debug_print(f"使用过滤器设备: {filter_device}")
except Exception as e:
debug_print(f" ❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"设备查找失败: {str(e)}")
# 🔧 新增:过滤效率和体积分配估算
debug_print("📍 步骤2.5: 过滤体积分配估算... 📊")
# 估算过滤分离比例(基于经验数据)
solid_ratio = 0.1 # 假设10%是固体(保留在过滤器上)
liquid_ratio = 0.9 # 假设90%是液体(通过过滤器)
volume_loss_ratio = 0.05 # 假设5%体积损失(残留在过滤器等)
# 从kwargs中获取过滤参数进行优化
# 过滤体积分配估算
solid_ratio = 0.1
liquid_ratio = 0.9
volume_loss_ratio = 0.05
if "solid_content" in kwargs:
try:
solid_ratio = float(kwargs["solid_content"])
liquid_ratio = 1.0 - solid_ratio
debug_print(f"📋 使用指定的固体含量: {solid_ratio*100:.1f}%")
except:
debug_print("⚠️ 固体含量参数无效,使用默认值")
pass
if original_liquid_volume > 0:
expected_filtrate_volume = original_liquid_volume * liquid_ratio * (1.0 - volume_loss_ratio)
expected_solid_volume = original_liquid_volume * solid_ratio
volume_loss = original_liquid_volume * volume_loss_ratio
debug_print(f"📊 过滤体积分配估算:")
debug_print(f" - 原始体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 预计滤液体积: {expected_filtrate_volume:.2f}mL ({liquid_ratio*100:.1f}%)")
debug_print(f" - 预计固体体积: {expected_solid_volume:.2f}mL ({solid_ratio*100:.1f}%)")
debug_print(f" - 预计损失体积: {volume_loss:.2f}mL ({volume_loss_ratio*100:.1f}%)")
# === 转移到过滤器(如果需要)===
debug_print("📍 步骤3: 转移到过滤器... 🚚")
if vessel_id != filter_device: # 🔧 使用 vessel_id
debug_print(f" 🚛 需要转移: {vessel_id}{filter_device} 📦")
if vessel_id != filter_device:
try:
debug_print(" 🔄 开始执行转移操作...")
# 使用pump protocol转移液体到过滤器
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel={"id": vessel_id}, # 🔧 使用 vessel_id
from_vessel={"id": vessel_id},
to_vessel={"id": filter_device},
volume=0.0, # 转移所有液体
volume=0.0,
amount="",
time=0.0,
viscous=False,
@@ -173,88 +116,59 @@ def generate_filter_protocol(
flowrate=2.0,
transfer_flowrate=2.0
)
if transfer_actions:
action_sequence.extend(transfer_actions)
debug_print(f"添加了 {len(transfer_actions)} 个转移动作 🚚✨")
# 🔧 新增:转移后更新容器体积
debug_print(" 🔧 更新转移后的容器体积...")
# 原容器体积变为0所有液体已转移
debug_print(f"添加了 {len(transfer_actions)} 个转移动作")
# 更新容器体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
vessel["data"]["liquid_volume"] = [0.0] if len(current_volume) > 0 else [0.0]
else:
vessel["data"]["liquid_volume"] = 0.0
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
G.nodes[vessel_id]['data']['liquid_volume'] = 0.0
debug_print(f" 📊 转移完成,{vessel_id} 体积更新为 0.0mL")
else:
debug_print(" ⚠️ 转移协议返回空序列 🤔")
except Exception as e:
debug_print(f"转移失败: {str(e)} 😞")
debug_print(" 🔄 继续执行,可能是直接连接的过滤器 🤞")
else:
debug_print(" ✅ 过滤容器就是过滤器,无需转移 🎯")
debug_print(f"转移失败: {str(e)},继续执行")
# === 执行过滤操作 ===
debug_print("📍 步骤4: 执行过滤操作... 🌊")
# 构建过滤动作参数
debug_print(" ⚙️ 构建过滤参数...")
filter_kwargs = {
"vessel": {"id": filter_device}, # 过滤器设备
"filtrate_vessel": {"id": filtrate_vessel_id}, # 滤液容器(可能为空)
"vessel": {"id": filter_device},
"filtrate_vessel": {"id": filtrate_vessel_id},
"stir": kwargs.get("stir", False),
"stir_speed": kwargs.get("stir_speed", 0.0),
"temp": kwargs.get("temp", 25.0),
"continue_heatchill": kwargs.get("continue_heatchill", False),
"volume": kwargs.get("volume", 0.0) # 0表示过滤所有
"volume": kwargs.get("volume", 0.0)
}
debug_print(f" 📋 过滤参数: {filter_kwargs}")
debug_print(" 🌊 开始过滤操作...")
# 过滤动作
filter_action = {
"device_id": filter_device,
"action_name": "filter",
"action_kwargs": filter_kwargs
}
action_sequence.append(filter_action)
debug_print(" ✅ 过滤动作已添加 🌊✨")
# 过滤后等待
debug_print(" ⏳ 添加过滤后等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
debug_print(" ✅ 过滤后等待动作已添加 ⏰✨")
# === 收集滤液(如果需要)===
debug_print("📍 步骤5: 收集滤液... 💧")
if filtrate_vessel_id and filtrate_vessel_id not in G.neighbors(filter_device):
debug_print(f" 🧪 收集滤液: {filter_device}{filtrate_vessel_id} 💧")
try:
debug_print(" 🔄 开始执行收集操作...")
# 使用pump protocol收集滤液
collect_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=filter_device,
to_vessel=filtrate_vessel,
volume=0.0, # 收集所有滤液
volume=0.0,
amount="",
time=0.0,
viscous=False,
@@ -265,19 +179,15 @@ def generate_filter_protocol(
flowrate=2.0,
transfer_flowrate=2.0
)
if collect_actions:
action_sequence.extend(collect_actions)
debug_print(f" ✅ 添加了 {len(collect_actions)} 个收集动作 🧪✨")
# 🔧 新增:收集滤液后的体积更新
debug_print(" 🔧 更新滤液容器体积...")
# 更新filtrate_vessel在图中的体积如果它是节点
# 更新滤液容器体积
if filtrate_vessel_id in G.nodes():
if 'data' not in G.nodes[filtrate_vessel_id]:
G.nodes[filtrate_vessel_id]['data'] = {}
current_filtrate_volume = G.nodes[filtrate_vessel_id]['data'].get('liquid_volume', 0.0)
if isinstance(current_filtrate_volume, list):
if len(current_filtrate_volume) > 0:
@@ -286,58 +196,37 @@ def generate_filter_protocol(
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = [expected_filtrate_volume]
else:
G.nodes[filtrate_vessel_id]['data']['liquid_volume'] = current_filtrate_volume + expected_filtrate_volume
debug_print(f" 📊 滤液容器 {filtrate_vessel_id} 体积增加 {expected_filtrate_volume:.2f}mL")
else:
debug_print(" ⚠️ 收集协议返回空序列 🤔")
except Exception as e:
debug_print(f"收集滤液失败: {str(e)} 😞")
debug_print(" 🔄 继续执行,可能滤液直接流入指定容器 🤞")
else:
debug_print(" 🧱 未指定滤液容器,固体保留在过滤器中 🔬")
# 🔧 新增:过滤完成后的容器状态更新
debug_print("📍 步骤5.5: 过滤完成后状态更新... 📊")
debug_print(f"收集滤液失败: {str(e)},继续执行")
# 过滤完成后容器状态更新
if vessel_id == filter_device:
# 如果过滤容器就是过滤器,需要更新其体积状态
if original_liquid_volume > 0:
if filtrate_vessel:
# 收集滤液模式:过滤器中主要保留固体
remaining_volume = expected_solid_volume
debug_print(f" 🧱 过滤器中保留固体: {remaining_volume:.2f}mL")
else:
# 保留固体模式:过滤器中保留所有物质
remaining_volume = original_liquid_volume * (1.0 - volume_loss_ratio)
debug_print(f" 🔬 过滤器中保留所有物质: {remaining_volume:.2f}mL")
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
vessel["data"]["liquid_volume"] = [remaining_volume] if len(current_volume) > 0 else [remaining_volume]
else:
vessel["data"]["liquid_volume"] = remaining_volume
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
G.nodes[vessel_id]['data']['liquid_volume'] = remaining_volume
debug_print(f" 📊 过滤器 {vessel_id} 体积更新为: {remaining_volume:.2f}mL")
# === 最终等待 ===
debug_print("📍 步骤6: 最终等待... ⏰")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5.0}
})
debug_print(" ✅ 最终等待动作已添加 ⏰✨")
# 🔧 新增:过滤完成后的状态报告
# 最终状态
final_vessel_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -345,22 +234,7 @@ def generate_filter_protocol(
final_vessel_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
final_vessel_volume = current_volume
# === 总结 ===
debug_print("🎊" * 20)
debug_print(f"🎉 过滤协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)} 个 📝")
debug_print(f"🥽 过滤容器: {vessel_id} 🧪")
debug_print(f"🌊 过滤器设备: {filter_device} 🔧")
debug_print(f"💧 滤液容器: {filtrate_vessel_id or '无(保留固体)'} 🧱")
debug_print(f"⏱️ 预计总时间: {(len(action_sequence) * 5):.0f} 秒 ⌛")
if original_liquid_volume > 0:
debug_print(f"📊 体积变化统计:")
debug_print(f" - 过滤前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 过滤后容器体积: {final_vessel_volume:.2f}mL")
if filtrate_vessel:
debug_print(f" - 预计滤液体积: {expected_filtrate_volume:.2f}mL")
debug_print(f" - 预计损失体积: {volume_loss:.2f}mL")
debug_print("🎊" * 20)
debug_print(f"过滤协议生成完成: {len(action_sequence)} 个动作, 容器={vessel_id}, 过滤器={filter_device}")
return action_sequence

View File

@@ -1,118 +1,24 @@
from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.unit_parser import parse_time_input
from .utils.vessel_parser import get_vessel, find_connected_heatchill
from .utils.unit_parser import parse_time_input, parse_temperature_input
from .utils.logger_util import debug_print
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[HEATCHILL] {message}")
def parse_temp_input(temp_input: Union[str, float], default_temp: float = 25.0) -> float:
"""
解析温度输入(统一函数)
Args:
temp_input: 温度输入
default_temp: 默认温度
Returns:
float: 温度°C
"""
if not temp_input:
return default_temp
# 🔢 数值输入
if isinstance(temp_input, (int, float)):
result = float(temp_input)
debug_print(f"🌡️ 数值温度: {temp_input}{result}°C")
return result
# 📝 字符串输入
temp_str = str(temp_input).lower().strip()
debug_print(f"🔍 解析温度: '{temp_str}'")
# 🎯 特殊温度
special_temps = {
"room temperature": 25.0, "reflux": 78.0, "ice bath": 0.0,
"boiling": 100.0, "hot": 60.0, "warm": 40.0, "cold": 10.0
}
if temp_str in special_temps:
result = special_temps[temp_str]
debug_print(f"🎯 特殊温度: '{temp_str}'{result}°C")
return result
# 📐 正则解析(如 "256 °C"
temp_pattern = r'(\d+(?:\.\d+)?)\s*°?[cf]?'
match = re.search(temp_pattern, temp_str)
if match:
result = float(match.group(1))
debug_print(f"✅ 温度解析: '{temp_str}'{result}°C")
return result
debug_print(f"⚠️ 无法解析温度: '{temp_str}',使用默认值: {default_temp}°C")
return default_temp
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找与指定容器相连的加热/冷却设备"""
debug_print(f"🔍 查找加热设备,目标容器: {vessel}")
# 🔧 查找所有加热设备
heatchill_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'heatchill' in node_class.lower() or 'virtual_heatchill' in node_class:
heatchill_nodes.append(node)
debug_print(f"🎉 找到加热设备: {node}")
# 🔗 检查连接
if vessel and heatchill_nodes:
for heatchill in heatchill_nodes:
if G.has_edge(heatchill, vessel) or G.has_edge(vessel, heatchill):
debug_print(f"✅ 加热设备 '{heatchill}' 与容器 '{vessel}' 相连")
return heatchill
# 🎯 使用第一个可用设备
if heatchill_nodes:
selected = heatchill_nodes[0]
debug_print(f"🔧 使用第一个加热设备: {selected}")
return selected
# 🆘 默认设备
debug_print("⚠️ 未找到加热设备,使用默认设备")
return "heatchill_1"
def validate_and_fix_params(temp: float, time: float, stir_speed: float) -> tuple:
"""验证和修正参数"""
# 🌡️ 温度范围验证
if temp < -50.0 or temp > 300.0:
debug_print(f"⚠️ 温度 {temp}°C 超出范围,修正为 25°C")
temp = 25.0
else:
debug_print(f"✅ 温度 {temp}°C 在正常范围内")
# ⏰ 时间验证
if time < 0:
debug_print(f"⚠️ 时间 {time}s 无效,修正为 300s")
time = 300.0
else:
debug_print(f"✅ 时间 {time}s ({time/60:.1f}分钟) 有效")
# 🌪️ 搅拌速度验证
if stir_speed < 0 or stir_speed > 1500.0:
debug_print(f"⚠️ 搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
stir_speed = 300.0
else:
debug_print(f"✅ 搅拌速度 {stir_speed} RPM 在正常范围内")
return temp, time, stir_speed
def generate_heat_chill_protocol(
@@ -131,7 +37,7 @@ def generate_heat_chill_protocol(
) -> List[Dict[str, Any]]:
"""
生成加热/冷却操作的协议序列 - 支持vessel字典
Args:
G: 设备图
vessel: 容器字典从XDL传入
@@ -145,82 +51,58 @@ def generate_heat_chill_protocol(
stir_speed: 搅拌速度 (RPM)
purpose: 操作目的说明
**kwargs: 其他参数(兼容性)
Returns:
List[Dict[str, Any]]: 加热/冷却操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌡️" * 20)
debug_print("🚀 开始生成加热冷却协议支持vessel字典")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🌡️ temp: {temp}°C")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🎯 temp_spec: {temp_spec}")
debug_print(f" ⏱️ time_spec: {time_spec}")
debug_print(f" 🌪️ stir: {stir} ({stir_speed} RPM)")
debug_print(f" 🎭 purpose: '{purpose}'")
debug_print("🌡️" * 20)
# 📋 参数验证
debug_print("📍 步骤1: 参数验证... 🔧")
if not vessel_id: # 🔧 使用 vessel_id
debug_print("❌ vessel 参数不能为空! 😱")
debug_print(f"开始生成加热冷却协议: vessel={vessel_id}, temp={temp}°C, "
f"time={time}, stir={stir} ({stir_speed} RPM), purpose='{purpose}'")
# 参数验证
if not vessel_id:
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中! 😞")
if vessel_id not in G.nodes():
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
debug_print("✅ 基础参数验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤2: 参数解析... ⚡")
#温度解析:优先使用 temp_spec
final_temp = parse_temp_input(temp_spec, temp) if temp_spec else temp
# 参数解析
# 温度解析:优先使用 temp_spec
final_temp = parse_temperature_input(temp_spec, temp) if temp_spec else temp
# 时间解析:优先使用 time_spec
final_time = parse_time_input(time_spec) if time_spec else parse_time_input(time)
# 参数修正
final_temp, final_time, stir_speed = validate_and_fix_params(final_temp, final_time, stir_speed)
debug_print(f"🎯 最终参数: temp={final_temp}°C, time={final_time}s, stir_speed={stir_speed} RPM")
# 🔍 查找设备
debug_print("📍 步骤3: 查找加热设备... 🔍")
debug_print(f"最终参数: temp={final_temp}°C, time={final_time}s, stir_speed={stir_speed} RPM")
# 查找设备
try:
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
debug_print(f"🎉 使用加热设备: {heatchill_id}")
heatchill_id = find_connected_heatchill(G, vessel_id)
debug_print(f"使用加热设备: {heatchill_id}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"无法找到加热设备: {str(e)}")
# 🚀 生成动作
debug_print("📍 步骤4: 生成加热动作... 🔥")
# 🕐 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
# 生成动作
# 模拟运行时间优化
original_time = final_time
simulation_time_limit = 100.0 # 模拟运行时间限制100秒
if final_time > simulation_time_limit:
final_time = simulation_time_limit
debug_print(f" 🎮 模拟运行优化: {original_time}s → {final_time}s (限制为{simulation_time_limit}s)")
debug_print(f" 📊 时间缩短: {original_time/60:.1f}分钟 → {final_time/60:.1f}分钟 🚀")
else:
debug_print(f" ✅ 时间在限制内: {final_time}s ({final_time/60:.1f}分钟) 保持不变 🎯")
debug_print(f"模拟运行优化: {original_time}s → {final_time}s (限制为{simulation_time_limit}s)")
action_sequence = []
heatchill_action = {
"device_id": heatchill_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": {"id": vessel},
"vessel": {"id": vessel_id},
"temp": float(final_temp),
"time": float(final_time),
"stir": bool(stir),
@@ -229,21 +111,10 @@ def generate_heat_chill_protocol(
}
}
action_sequence.append(heatchill_action)
debug_print("✅ 加热动作已添加 🔥✨")
# 显示时间调整信息
if original_time != final_time:
debug_print(f" 🎭 模拟优化说明: 原计划 {original_time/60:.1f}分钟,实际模拟 {final_time/60:.1f}分钟 ⚡")
# 🎊 总结
debug_print("🎊" * 20)
debug_print(f"🎉 加热冷却协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 加热容器: {vessel_id}")
debug_print(f"🌡️ 目标温度: {final_temp}°C")
debug_print(f"⏰ 加热时间: {final_time}s ({final_time/60:.1f}分钟)")
debug_print("🎊" * 20)
debug_print(f"加热冷却协议生成完成: {len(action_sequence)} 个动作, "
f"vessel={vessel_id}, temp={final_temp}°C, time={final_time}s")
return action_sequence
def generate_heat_chill_to_temp_protocol(
@@ -255,7 +126,7 @@ def generate_heat_chill_to_temp_protocol(
) -> List[Dict[str, Any]]:
"""生成加热到指定温度的协议(简化版)"""
vessel_id, _ = get_vessel(vessel)
debug_print(f"🌡️ 生成加热到温度协议: {vessel_id}{temp}°C")
debug_print(f"生成加热到温度协议: {vessel_id}{temp}°C")
return generate_heat_chill_protocol(G, vessel, temp, time, **kwargs)
def generate_heat_chill_start_protocol(
@@ -266,21 +137,19 @@ def generate_heat_chill_start_protocol(
**kwargs
) -> List[Dict[str, Any]]:
"""生成开始加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, _ = get_vessel(vessel)
debug_print("🔥 开始生成启动加热协议")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id}), 🌡️ temp: {temp}°C")
debug_print(f"生成启动加热协议: vessel={vessel_id}, temp={temp}°C")
# 基础验证
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败!")
if not vessel_id or vessel_id not in G.nodes():
raise ValueError("vessel 参数无效")
# 查找设备
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
heatchill_id = find_connected_heatchill(G, vessel_id)
# 生成动作
action_sequence = [{
"device_id": heatchill_id,
@@ -291,8 +160,8 @@ def generate_heat_chill_start_protocol(
"vessel": {"id": vessel_id},
}
}]
debug_print(f"启动加热协议生成完成 🎯")
debug_print(f"启动加热协议生成完成")
return action_sequence
def generate_heat_chill_stop_protocol(
@@ -301,21 +170,19 @@ def generate_heat_chill_stop_protocol(
**kwargs
) -> List[Dict[str, Any]]:
"""生成停止加热操作的协议序列"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, _ = get_vessel(vessel)
debug_print("🛑 开始生成停止加热协议")
debug_print(f"🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f"生成停止加热协议: vessel={vessel_id}")
# 基础验证
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败!")
if not vessel_id or vessel_id not in G.nodes():
raise ValueError("vessel 参数无效")
# 查找设备
heatchill_id = find_connected_heatchill(G, vessel_id) # 🔧 使用 vessel_id
heatchill_id = find_connected_heatchill(G, vessel_id)
# 生成动作
action_sequence = [{
"device_id": heatchill_id,
@@ -323,6 +190,6 @@ def generate_heat_chill_stop_protocol(
"action_kwargs": {
}
}]
debug_print(f"停止加热协议生成完成 🎯")
debug_print(f"停止加热协议生成完成")
return action_sequence

View File

@@ -1,105 +1,50 @@
import networkx as nx
from typing import List, Dict, Any, Optional
from .utils.vessel_parser import get_vessel
def parse_temperature(temp_str: str) -> float:
"""
解析温度字符串,支持多种格式
Args:
temp_str: 温度字符串(如 "45 °C", "45°C", "45"
Returns:
float: 温度值(摄氏度)
"""
try:
# 移除常见的温度单位和符号
temp_clean = temp_str.replace("°C", "").replace("°", "").replace("C", "").strip()
return float(temp_clean)
except ValueError:
print(f"HYDROGENATE: 无法解析温度 '{temp_str}',使用默认温度 25°C")
return 25.0
def parse_time(time_str: str) -> float:
"""
解析时间字符串,支持多种格式
Args:
time_str: 时间字符串(如 "2 h", "120 min", "7200 s"
Returns:
float: 时间值(秒)
"""
try:
time_clean = time_str.lower().strip()
# 处理小时
if "h" in time_clean:
hours = float(time_clean.replace("h", "").strip())
return hours * 3600.0
# 处理分钟
if "min" in time_clean:
minutes = float(time_clean.replace("min", "").strip())
return minutes * 60.0
# 处理秒
if "s" in time_clean:
seconds = float(time_clean.replace("s", "").strip())
return seconds
# 默认按小时处理
return float(time_clean) * 3600.0
except ValueError:
print(f"HYDROGENATE: 无法解析时间 '{time_str}',使用默认时间 2小时")
return 7200.0 # 2小时
from .utils.logger_util import debug_print
from .utils.unit_parser import parse_temperature_input, parse_time_input
def find_associated_solenoid_valve(G: nx.DiGraph, device_id: str) -> Optional[str]:
"""查找与指定设备相关联的电磁阀"""
solenoid_valves = [
node for node in G.nodes()
node for node in G.nodes()
if ('solenoid' in (G.nodes[node].get('class') or '').lower()
or 'solenoid_valve' in node)
]
# 通过网络连接查找直接相连的电磁阀
for solenoid in solenoid_valves:
if G.has_edge(device_id, solenoid) or G.has_edge(solenoid, device_id):
return solenoid
# 通过命名规则查找关联的电磁阀
device_type = ""
if 'gas' in device_id.lower():
device_type = "gas"
elif 'h2' in device_id.lower() or 'hydrogen' in device_id.lower():
device_type = "gas"
if device_type:
for solenoid in solenoid_valves:
if device_type in solenoid.lower():
return solenoid
return None
def find_connected_device(G: nx.DiGraph, vessel: str, device_type: str) -> str:
"""
查找与容器相连的指定类型设备
Args:
G: 网络图
vessel: 容器名称
device_type: 设备类型 ('heater', 'stirrer', 'gas_source')
Returns:
str: 设备ID如果没有则返回None
"""
print(f"HYDROGENATE: 正在查找与容器 '{vessel}' 相连的 {device_type}...")
# 根据设备类型定义搜索关键词
if device_type == 'heater':
keywords = ['heater', 'heat', 'heatchill']
@@ -112,40 +57,38 @@ def find_connected_device(G: nx.DiGraph, vessel: str, device_type: str) -> str:
device_class = 'virtual_gas_source'
else:
return None
# 查找设备节点
device_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_name = node.lower()
node_class = node_data.get('class', '').lower()
# 通过名称匹配
if any(keyword in node_name for keyword in keywords):
device_nodes.append(node)
# 通过类型匹配
elif device_class in node_class:
device_nodes.append(node)
print(f"HYDROGENATE: 找到的{device_type}节点: {device_nodes}")
debug_print(f"找到的{device_type}节点: {device_nodes}")
# 检查是否有设备与目标容器相连
for device in device_nodes:
if G.has_edge(device, vessel) or G.has_edge(vessel, device):
print(f"HYDROGENATE: 找到与容器 '{vessel}' 相连的{device_type}: {device}")
debug_print(f"找到与容器 '{vessel}' 相连的{device_type}: {device}")
return device
# 如果没有直接连接,查找距离最近的设备
for device in device_nodes:
try:
path = nx.shortest_path(G, source=device, target=vessel)
if len(path) <= 3: # 最多2个中间节点
print(f"HYDROGENATE: 找到距离较近的{device_type}: {device}")
debug_print(f"找到距离较近的{device_type}: {device}")
return device
except nx.NetworkXNoPath:
continue
print(f"HYDROGENATE: 未找到与容器 '{vessel}' 相连的{device_type}")
debug_print(f"未找到与容器 '{vessel}' 相连的{device_type}")
return None
@@ -158,36 +101,31 @@ def generate_hydrogenate_protocol(
) -> List[Dict[str, Any]]:
"""
生成氢化反应协议序列 - 支持vessel字典
Args:
G: 有向图,节点为容器和设备
vessel: 反应容器字典从XDL传入
temp: 反应温度(如 "45 °C"
time: 反应时间(如 "2 h"
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
# 解析参数
temperature = parse_temperature(temp)
reaction_time = parse_time(time)
print("🧪" * 20)
print(f"HYDROGENATE: 开始生成氢化反应协议支持vessel字典")
print(f"📝 输入参数:")
print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
print(f" 🌡️ 反应温度: {temperature}°C")
print(f" ⏰ 反应时间: {reaction_time/3600:.1f} 小时")
print("🧪" * 20)
# 🔧 新增:记录氢化前的容器状态(可选,氢化反应通常不改变体积)
temperature = parse_temperature_input(temp)
reaction_time = parse_time_input(time)
debug_print(f"开始生成氢化反应协议: vessel={vessel_id}, "
f"temp={temperature}°C, time={reaction_time/3600:.1f}h")
# 记录氢化前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -195,47 +133,36 @@ def generate_hydrogenate_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
print(f"📊 氢化前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
print("📍 步骤1: 验证目标容器...")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
print(f"⚠️ HYDROGENATE: 警告 - 容器 '{vessel_id}' 不存在于系统中,跳过氢化反应")
if vessel_id not in G.nodes():
debug_print(f"⚠️ 容器 '{vessel_id}' 不存在于系统中,跳过氢化反应")
return action_sequence
print(f"✅ 容器 '{vessel_id}' 验证通过")
# 2. 查找相连的设备
print("📍 步骤2: 查找相连设备...")
heater_id = find_connected_device(G, vessel_id, 'heater') # 🔧 使用 vessel_id
stirrer_id = find_connected_device(G, vessel_id, 'stirrer') # 🔧 使用 vessel_id
gas_source_id = find_connected_device(G, vessel_id, 'gas_source') # 🔧 使用 vessel_id
print(f"🔧 设备配置:")
print(f" 🔥 加热器: {heater_id or '未找到'}")
print(f" 🌪️ 搅拌器: {stirrer_id or '未找到'}")
print(f" 💨 气源: {gas_source_id or '未找到'}")
heater_id = find_connected_device(G, vessel_id, 'heater')
stirrer_id = find_connected_device(G, vessel_id, 'stirrer')
gas_source_id = find_connected_device(G, vessel_id, 'gas_source')
debug_print(f"设备配置: heater={heater_id or '未找到'}, "
f"stirrer={stirrer_id or '未找到'}, gas={gas_source_id or '未找到'}")
# 3. 启动搅拌器
print("📍 步骤3: 启动搅拌器...")
if stirrer_id:
print(f"🌪️ 启动搅拌器 {stirrer_id}")
action_sequence.append({
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"stir_speed": 300.0,
"purpose": "氢化反应: 开始搅拌"
}
})
print("✅ 搅拌器启动动作已添加")
else:
print(f"⚠️ HYDROGENATE: 警告 - 未找到搅拌器,继续执行")
debug_print(f"⚠️ 未找到搅拌器,继续执行")
# 4. 启动气源(氢气)
print("📍 步骤4: 启动氢气源...")
if gas_source_id:
print(f"💨 启动气源 {gas_source_id} (氢气)")
action_sequence.append({
"device_id": gas_source_id,
"action_name": "set_status",
@@ -243,11 +170,10 @@ def generate_hydrogenate_protocol(
"string": "ON"
}
})
# 查找相关的电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"🚪 开启气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
@@ -255,12 +181,10 @@ def generate_hydrogenate_protocol(
"command": "OPEN"
}
})
print("✅ 氢气源启动动作已添加")
else:
print(f"⚠️ HYDROGENATE: 警告 - 未找到气源,继续执行")
debug_print(f"⚠️ 未找到气源,继续执行")
# 5. 等待气体稳定
print("📍 步骤5: 等待气体环境稳定...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -268,22 +192,19 @@ def generate_hydrogenate_protocol(
"description": "等待氢气环境稳定"
}
})
print("✅ 气体稳定等待动作已添加")
# 6. 启动加热器
print("📍 步骤6: 启动加热反应...")
if heater_id:
print(f"🔥 启动加热器 {heater_id}{temperature}°C")
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_start",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"temp": temperature,
"purpose": f"氢化反应: 加热到 {temperature}°C"
}
})
# 等待温度稳定
action_sequence.append({
"action_name": "wait",
@@ -292,52 +213,38 @@ def generate_hydrogenate_protocol(
"description": f"等待温度稳定到 {temperature}°C"
}
})
# 🕐 模拟运行时间优化
print(" ⏰ 检查模拟运行时间限制...")
# 模拟运行时间优化
original_reaction_time = reaction_time
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
simulation_time_limit = 60.0
if reaction_time > simulation_time_limit:
reaction_time = simulation_time_limit
print(f" 🎮 模拟运行优化: {original_reaction_time}s → {reaction_time}s (限制为{simulation_time_limit}s)")
print(f" 📊 时间缩短: {original_reaction_time/3600:.2f}小时 → {reaction_time/60:.1f}分钟")
else:
print(f" ✅ 时间在限制内: {reaction_time}s ({reaction_time/60:.1f}分钟) 保持不变")
debug_print(f"模拟运行优化: {original_reaction_time}s → {reaction_time}s")
# 保持反应温度
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"temp": temperature,
"time": reaction_time,
"purpose": f"氢化反应: 保持 {temperature}°C反应 {reaction_time/60:.1f}分钟" + (f" (模拟时间)" if original_reaction_time != reaction_time else "")
}
})
# 显示时间调整信息
if original_reaction_time != reaction_time:
print(f" 🎭 模拟优化说明: 原计划 {original_reaction_time/3600:.2f}小时,实际模拟 {reaction_time/60:.1f}分钟")
print("✅ 加热反应动作已添加")
else:
print(f"⚠️ HYDROGENATE: 警告 - 未找到加热器,使用室温反应")
# 🕐 室温反应也需要时间优化
print(" ⏰ 检查室温反应模拟时间限制...")
debug_print(f"⚠️ 未找到加热器,使用室温反应")
# 室温反应也需要时间优化
original_reaction_time = reaction_time
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
simulation_time_limit = 60.0
if reaction_time > simulation_time_limit:
reaction_time = simulation_time_limit
print(f" 🎮 室温反应时间优化: {original_reaction_time}s → {reaction_time}s")
print(f" 📊 时间缩短: {original_reaction_time/3600:.2f}小时 → {reaction_time/60:.1f}分钟")
else:
print(f" ✅ 室温反应时间在限制内: {reaction_time}s 保持不变")
debug_print(f"室温反应时间优化: {original_reaction_time}s → {reaction_time}s")
# 室温反应,只等待时间
action_sequence.append({
"action_name": "wait",
@@ -346,28 +253,19 @@ def generate_hydrogenate_protocol(
"description": f"室温氢化反应 {reaction_time/60:.1f}分钟" + (f" (模拟时间)" if original_reaction_time != reaction_time else "")
}
})
# 显示时间调整信息
if original_reaction_time != reaction_time:
print(f" 🎭 室温反应优化说明: 原计划 {original_reaction_time/3600:.2f}小时,实际模拟 {reaction_time/60:.1f}分钟")
print("✅ 室温反应等待动作已添加")
# 7. 停止加热
print("📍 步骤7: 停止加热...")
if heater_id:
action_sequence.append({
"device_id": heater_id,
"action_name": "heat_chill_stop",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"purpose": "氢化反应完成,停止加热"
}
})
print("✅ 停止加热动作已添加")
# 8. 等待冷却
print("📍 步骤8: 等待冷却...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -375,15 +273,12 @@ def generate_hydrogenate_protocol(
"description": "等待反应混合物冷却"
}
})
print("✅ 冷却等待动作已添加")
# 9. 停止气源
print("📍 步骤9: 停止氢气源...")
if gas_source_id:
# 先关闭电磁阀
gas_solenoid = find_associated_solenoid_valve(G, gas_source_id)
if gas_solenoid:
print(f"🚪 关闭气源电磁阀 {gas_solenoid}")
action_sequence.append({
"device_id": gas_solenoid,
"action_name": "set_valve_position",
@@ -391,7 +286,7 @@ def generate_hydrogenate_protocol(
"command": "CLOSED"
}
})
# 再关闭气源
action_sequence.append({
"device_id": gas_source_id,
@@ -400,59 +295,24 @@ def generate_hydrogenate_protocol(
"string": "OFF"
}
})
print("✅ 氢气源停止动作已添加")
# 10. 停止搅拌
print("📍 步骤10: 停止搅拌...")
if stirrer_id:
action_sequence.append({
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {
"vessel": vessel_id, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"purpose": "氢化反应完成,停止搅拌"
}
})
print("✅ 停止搅拌动作已添加")
# 🔧 新增:氢化完成后的状态(氢化反应通常不改变体积)
final_liquid_volume = original_liquid_volume # 氢化反应体积基本不变
# 氢化完成后的状态(氢化反应通常不改变体积)
final_liquid_volume = original_liquid_volume
# 总结
print("🎊" * 20)
print(f"🎉 氢化反应协议生成完成! ✨")
print(f"📊 总动作数: {len(action_sequence)}")
print(f"🥽 反应容器: {vessel_id}")
print(f"🌡️ 反应温度: {temperature}°C")
print(f"⏰ 反应时间: {reaction_time/60:.1f}分钟")
print(f"⏱️ 预计总时间: {(reaction_time + 450)/3600:.1f} 小时")
print(f"📊 体积状态:")
print(f" - 反应前体积: {original_liquid_volume:.2f}mL")
print(f" - 反应后体积: {final_liquid_volume:.2f}mL (氢化反应体积基本不变)")
print("🎊" * 20)
debug_print(f"氢化反应协议生成完成: {len(action_sequence)} 个动作, "
f"vessel={vessel_id}, temp={temperature}°C, time={reaction_time/60:.1f}min, "
f"volume={original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
return action_sequence
# 测试函数
def test_hydrogenate_protocol():
"""测试氢化反应协议"""
print("🧪 === HYDROGENATE PROTOCOL 测试 === ✨")
# 测试温度解析
test_temps = ["45 °C", "45°C", "45", "25 C", "invalid"]
for temp in test_temps:
parsed = parse_temperature(temp)
print(f"温度 '{temp}' -> {parsed}°C")
# 测试时间解析
test_times = ["2 h", "120 min", "7200 s", "2", "invalid"]
for time in test_times:
parsed = parse_time(time)
print(f"时间 '{time}' -> {parsed/3600:.1f} 小时")
print("✅ 测试完成 🎉")
if __name__ == "__main__":
test_hydrogenate_protocol()

View File

@@ -2,99 +2,18 @@ import traceback
import numpy as np
import networkx as nx
import asyncio
import time as time_module # 🔧 重命名time模块
import time as time_module # 重命名time模块
from typing import List, Dict, Any
import logging
import sys
from unilabos.compile.utils.vessel_parser import get_vessel
from .utils.logger_util import debug_print
from .utils.vessel_parser import get_vessel
from .utils.resource_helper import get_resource_liquid_volume
logger = logging.getLogger(__name__)
def debug_print(message):
"""强制输出调试信息"""
output = f"[TRANSFER] {message}"
logger.info(output)
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""
从容器节点的数据中获取液体体积
"""
debug_print(f"🔍 开始读取容器 '{vessel}' 的液体体积...")
if vessel not in G.nodes():
logger.error(f"❌ 容器 '{vessel}' 不存在于系统图中")
debug_print(f" - 系统中的容器: {list(G.nodes())}")
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
debug_print(f"📋 容器 '{vessel}' 的数据结构: {vessel_data}")
total_volume = 0.0
# 方法1检查 'liquid' 字段(列表格式)
debug_print("🔍 方法1: 检查 'liquid' 字段...")
if 'liquid' in vessel_data:
liquids = vessel_data['liquid']
debug_print(f" - liquid 字段类型: {type(liquids)}")
debug_print(f" - liquid 字段内容: {liquids}")
if isinstance(liquids, list):
debug_print(f" - liquid 是列表,包含 {len(liquids)} 个元素")
for i, liquid in enumerate(liquids):
debug_print(f" 液体 {i + 1}: {liquid}")
if isinstance(liquid, dict):
volume_keys = ['liquid_volume', 'volume', 'amount', 'quantity']
for key in volume_keys:
if key in liquid:
try:
vol = float(liquid[key])
total_volume += vol
debug_print(f" ✅ 从 '{key}' 读取体积: {vol}mL")
break
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 '{key}': {liquid[key]} -> {str(e)}")
continue
else:
debug_print(f" - liquid 不是列表: {type(liquids)}")
else:
debug_print(" - 没有 'liquid' 字段")
# 方法2检查直接的体积字段
debug_print("🔍 方法2: 检查直接体积字段...")
volume_keys = ['total_volume', 'volume', 'liquid_volume', 'amount', 'current_volume']
for key in volume_keys:
if key in vessel_data:
try:
vol = float(vessel_data[key])
total_volume = max(total_volume, vol) # 取最大值
debug_print(f" ✅ 从容器数据 '{key}' 读取体积: {vol}mL")
break
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 '{key}': {vessel_data[key]} -> {str(e)}")
continue
# 方法3检查 'state' 或 'status' 字段
debug_print("🔍 方法3: 检查 'state' 字段...")
if 'state' in vessel_data and isinstance(vessel_data['state'], dict):
state = vessel_data['state']
debug_print(f" - state 字段内容: {state}")
if 'volume' in state:
try:
vol = float(state['volume'])
total_volume = max(total_volume, vol)
debug_print(f" ✅ 从容器状态读取体积: {vol}mL")
except (ValueError, TypeError) as e:
logger.warning(f" ⚠️ 无法转换 state.volume: {state['volume']} -> {str(e)}")
else:
debug_print(" - 没有 'state' 字段或不是字典")
debug_print(f"📊 容器 '{vessel}' 最终检测体积: {total_volume}mL")
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
@@ -122,108 +41,77 @@ def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
def find_connected_pump(G, valve_node):
"""
查找与阀门相连的泵节点 - 修复版本
🔧 修复:区分电磁阀和多通阀,电磁阀不参与泵查找
查找与阀门相连的泵节点
区分电磁阀和多通阀,电磁阀不参与泵查找
"""
debug_print(f"🔍 查找与阀门 {valve_node} 相连的泵...")
# 🔧 关键修复:检查节点类型,电磁阀不应该查找泵
# 检查节点类型,电磁阀不应该查找泵
node_data = G.nodes.get(valve_node, {})
node_class = node_data.get("class", "") or ""
debug_print(f" - 阀门类型: {node_class}")
# 如果是电磁阀,不应该查找泵(电磁阀只是开关)
if ("solenoid" in node_class.lower() or "solenoid_valve" in valve_node.lower()):
debug_print(f" ⚠️ {valve_node} 是电磁阀,不应该查找泵节点")
raise ValueError(f"电磁阀 {valve_node} 不应该参与泵查找逻辑")
# 只有多通阀等复杂阀门才需要查找连接的泵
if ("multiway" in node_class.lower() or "valve" in node_class.lower()):
debug_print(f" - {valve_node} 是多通阀,查找连接的泵...")
# 方法1直接相邻的泵
for neighbor in G.neighbors(valve_node):
neighbor_class = G.nodes[neighbor].get("class", "") or ""
# 排除非 电磁阀 和 泵 的邻居
debug_print(f" - 检查邻居 {neighbor}, class: {neighbor_class}")
if "pump" in neighbor_class.lower():
debug_print(f" ✅ 找到直接相连的泵: {neighbor}")
return neighbor
# 方法2通过路径查找泵最多2跳
debug_print(f" - 未找到直接相连的泵,尝试路径查找...")
pump_nodes = [
node_id for node_id in G.nodes()
if "pump" in (G.nodes[node_id].get("class", "") or "").lower()
]
# 获取所有泵节点
pump_nodes = []
for node_id in G.nodes():
node_class = G.nodes[node_id].get("class", "") or ""
if "pump" in node_class.lower():
pump_nodes.append(node_id)
debug_print(f" - 系统中的泵节点: {pump_nodes}")
# 查找到泵的最短路径
for pump_node in pump_nodes:
try:
if nx.has_path(G, valve_node, pump_node):
path = nx.shortest_path(G, valve_node, pump_node)
path_length = len(path) - 1
debug_print(f" - 到泵 {pump_node} 的路径: {path}, 距离: {path_length}")
if path_length <= 2: # 最多允许2跳
debug_print(f" ✅ 通过路径找到泵: {pump_node}")
if len(path) - 1 <= 2: # 最多允许2跳
return pump_node
except nx.NetworkXNoPath:
continue
# 最终失败
debug_print(f" ❌ 完全找不到泵节点")
raise ValueError(f"未找到与阀 {valve_node} 相连的泵节点")
def build_pump_valve_maps(G, pump_backbone):
"""
构建泵-阀门映射 - 修复版本
🔧 修复:过滤掉电磁阀,只处理需要泵的多通阀
构建泵-阀门映射
过滤掉电磁阀,只处理需要泵的多通阀
"""
pumps_from_node = {}
valve_from_node = {}
debug_print(f"🔧 构建泵-阀门映射,原始骨架: {pump_backbone}")
# 🔧 关键修复:过滤掉电磁阀
# 过滤掉电磁阀
filtered_backbone = []
for node in pump_backbone:
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
# 跳过电磁阀
if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
debug_print(f" - 跳过电磁阀: {node}")
continue
filtered_backbone.append(node)
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):
pumps_from_node[node] = node
valve_from_node[node] = node
debug_print(f" - 集成泵-阀: {node}")
else:
try:
pump_node = find_connected_pump(G, node)
pumps_from_node[node] = pump_node
valve_from_node[node] = node
debug_print(f" - 阀门 {node} -> 泵 {pump_node}")
except ValueError as e:
debug_print(f" - 跳过节点 {node}: {str(e)}")
except ValueError:
continue
debug_print(f"🔧 最终映射: pumps={pumps_from_node}, valves={valve_from_node}")
debug_print(f"泵-阀映射: pumps={pumps_from_node}, valves={valve_from_node}")
return pumps_from_node, valve_from_node
@@ -236,8 +124,8 @@ def generate_pump_protocol(
transfer_flowrate: float = 0.5,
) -> List[Dict[str, Any]]:
"""
生成泵操作的动作序列 - 修复版本
🔧 修复:正确处理包含电磁阀的路径
生成泵操作的动作序列
正确处理包含电磁阀的路径
"""
pump_action_sequence = []
nodes = G.nodes(data=True)
@@ -256,7 +144,6 @@ def generate_pump_protocol(
logger.warning(f"transfer_flowrate <= 0使用默认值 {transfer_flowrate}mL/s")
# 验证容器存在
debug_print(f"🔍 验证源容器 '{from_vessel_id}' 和目标容器 '{to_vessel_id}' 是否存在...")
if from_vessel_id not in G.nodes():
logger.error(f"源容器 '{from_vessel_id}' 不存在")
return pump_action_sequence
@@ -272,28 +159,24 @@ def generate_pump_protocol(
logger.error(f"无法找到从 '{from_vessel_id}''{to_vessel_id}' 的路径")
return pump_action_sequence
# 🔧 关键修复:正确构建泵骨架,排除容器和电磁阀
# 正确构建泵骨架,排除容器和电磁阀
pump_backbone = []
for node in shortest_path:
# 跳过起始和结束容器
if node == from_vessel_id or node == to_vessel_id:
continue
# 跳过电磁阀(电磁阀不参与泵操作)
node_data = G.nodes.get(node, {})
node_class = node_data.get("class", "") or ""
if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
debug_print(f"PUMP_TRANSFER: 跳过电磁阀 {node}")
continue
# 只包含多通阀和泵
if ("multiway" in node_class.lower() or "valve" in node_class.lower() or "pump" in node_class.lower()):
pump_backbone.append(node)
debug_print(f"PUMP_TRANSFER: 过滤后的泵骨架: {pump_backbone}")
debug_print(f"PUMP_TRANSFER: 泵骨架: {pump_backbone}")
if not pump_backbone:
debug_print("PUMP_TRANSFER: 没有泵骨架节点,可能是直接容器连接或只有电磁阀")
debug_print("PUMP_TRANSFER: 没有泵骨架节点")
return pump_action_sequence
if transfer_flowrate == 0:
@@ -309,7 +192,7 @@ def generate_pump_protocol(
debug_print("PUMP_TRANSFER: 没有可用的泵映射")
return pump_action_sequence
# 🔧 修复:安全地获取最小转移体积
# 安全地获取最小转移体积
try:
min_transfer_volumes = []
for node in pump_backbone:
@@ -339,19 +222,19 @@ def generate_pump_protocol(
volume_left = volume
debug_print(f"PUMP_TRANSFER: 需要 {repeats} 次转移,单次最大体积 {min_transfer_volume} mL")
# 🆕 只在开头打印总体概览
# 只在开头打印总体概览
if repeats > 1:
debug_print(f"🔄 分批转移概览: 总体积 {volume:.2f}mL,需要 {repeats}转移")
logger.info(f"🔄 分批转移概览: 总体积 {volume:.2f}mL,需要 {repeats} 次转移")
debug_print(f"分批转移: 总体积 {volume:.2f}mL, {repeats}, 单次最大 {min_transfer_volume} mL")
logger.info(f"分批转移: 总体积 {volume:.2f}mL, {repeats} 次转移")
# 🔧 创建一个自定义的wait动作用于在执行时打印日志
# 创建一个自定义的wait动作用于在执行时打印日志
def create_progress_log_action(message: str) -> Dict[str, Any]:
"""创建一个特殊的等待动作,在执行时打印进度日志"""
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1, # 很短的等待时间
"progress_message": message # 自定义字段,用于进度日志
"time": 0.1,
"progress_message": message
}
}
@@ -359,12 +242,12 @@ def generate_pump_protocol(
for i in range(repeats):
current_volume = min(volume_left, min_transfer_volume)
# 🆕 在每次循环开始时添加进度日志
if repeats > 1:
start_message = f"🚀 准备开始第 {i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id}{to_vessel_id}) 🚰"
pump_action_sequence.append(create_progress_log_action(start_message))
pump_action_sequence.append(create_progress_log_action(
f"{i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id} -> {to_vessel_id})"
))
# 🔧 修复:安全地获取边数据
# 安全地获取边数据
def get_safe_edge_data(node_a, node_b, key):
try:
edge_data = G.get_edge_data(node_a, node_b)
@@ -467,13 +350,13 @@ def generate_pump_protocol(
])
pump_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 3}})
# 🆕 在每次循环结束时添加完成日志
# 在每次循环结束时添加完成日志
if repeats > 1:
remaining_volume = volume_left - current_volume
if remaining_volume > 0:
end_message = f"{i + 1}/{repeats}转移完成! 剩余 {remaining_volume:.2f}mL 待转移 ⏳"
end_message = f"{i + 1}/{repeats} 次完成, 剩余 {remaining_volume:.2f}mL"
else:
end_message = f"🎉 {i + 1}/{repeats}转移完成! 全部 {volume:.2f}mL 转移完毕"
end_message = f"{i + 1}/{repeats} 次完成, 全部 {volume:.2f}mL 转移完毕"
pump_action_sequence.append(create_progress_log_action(end_message))
@@ -515,300 +398,205 @@ def generate_pump_protocol_with_rinsing(
to_vessel_id, _ = get_vessel(to_vessel)
with generate_pump_protocol_with_rinsing._lock:
debug_print("=" * 60)
debug_print(f"PUMP_TRANSFER: 🚀 开始生成协议 (同步版本)")
debug_print(f" 📍 路径: {from_vessel_id} -> {to_vessel_id}")
debug_print(f" 🕐 时间戳: {time_module.time()}")
debug_print(f" 🔒 获得执行锁")
debug_print("=" * 60)
debug_print(f"PUMP_TRANSFER: {from_vessel_id} -> {to_vessel_id}, volume={volume}, flowrate={flowrate}")
# 短暂延迟,避免快速重复调用
time_module.sleep(0.01)
debug_print("🔍 步骤1: 开始体积处理...")
# 1. 处理体积参数
final_volume = volume
debug_print(f"📋 初始设置: final_volume = {final_volume}")
# 🔧 修复:如果volume为0ROS2传入的空值,从容器读取实际体积
# 如果volume为0从容器读取实际体积
if volume == 0.0:
debug_print("🎯 检测到 volume=0.0,开始自动体积检测...")
# 直接从源容器读取实际体积
actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
debug_print(f"📖 从容器 '{from_vessel_id}' 读取到体积: {actual_volume}mL")
actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
if actual_volume > 0:
final_volume = actual_volume
debug_print(f"✅ 成功设置体积为: {final_volume}mL")
else:
final_volume = 10.0 # 如果读取失败,使用默认值
logger.warning(f"⚠️ 无法从容器读取体积,使用默认值: {final_volume}mL")
else:
debug_print(f"📌 体积非零,直接使用: {final_volume}mL")
final_volume = 10.0
logger.warning(f"无法从容器读取体积,使用默认值: {final_volume}mL")
# 处理 amount 参数
if amount and amount.strip():
debug_print(f"🔍 检测到 amount 参数: '{amount}',开始解析...")
parsed_volume = _parse_amount_to_volume(amount)
debug_print(f"📖 从 amount 解析得到体积: {parsed_volume}mL")
if parsed_volume > 0:
final_volume = parsed_volume
debug_print(f"✅ 使用从 amount 解析的体积: {final_volume}mL")
elif parsed_volume == 0.0 and amount.lower().strip() == "all":
debug_print("🎯 检测到 amount='all',从容器读取全部体积...")
actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
if actual_volume > 0:
final_volume = actual_volume
debug_print(f"✅ amount='all',设置体积为: {final_volume}mL")
# 最终体积验证
debug_print(f"🔍 步骤2: 最终体积验证...")
if final_volume <= 0:
logger.error(f"体积无效: {final_volume}mL")
logger.error(f"体积无效: {final_volume}mL")
final_volume = 10.0
logger.warning(f"⚠️ 强制设置为默认值: {final_volume}mL")
logger.warning(f"强制设置为默认值: {final_volume}mL")
debug_print(f"✅ 最终确定体积: {final_volume}mL")
debug_print(f"最终体积: {final_volume}mL")
# 2. 处理流速参数
debug_print(f"🔍 步骤3: 处理流速参数...")
debug_print(f" - 原始 flowrate: {flowrate}")
debug_print(f" - 原始 transfer_flowrate: {transfer_flowrate}")
final_flowrate = flowrate if flowrate > 0 else 2.5
final_transfer_flowrate = transfer_flowrate if transfer_flowrate > 0 else 0.5
if flowrate <= 0:
logger.warning(f"⚠️ flowrate <= 0修正为: {final_flowrate}mL/s")
logger.warning(f"flowrate <= 0修正为: {final_flowrate}mL/s")
if transfer_flowrate <= 0:
logger.warning(f"⚠️ transfer_flowrate <= 0修正为: {final_transfer_flowrate}mL/s")
debug_print(f"✅ 修正后流速: flowrate={final_flowrate}mL/s, transfer_flowrate={final_transfer_flowrate}mL/s")
logger.warning(f"transfer_flowrate <= 0修正为: {final_transfer_flowrate}mL/s")
# 3. 根据时间计算流速
if time > 0 and final_volume > 0:
debug_print(f"🔍 步骤4: 根据时间计算流速...")
calculated_flowrate = final_volume / time
debug_print(f" - 计算得到流速: {calculated_flowrate}mL/s")
if flowrate <= 0 or flowrate == 2.5:
final_flowrate = min(calculated_flowrate, 10.0)
debug_print(f" - 调整 flowrate 为: {final_flowrate}mL/s")
if transfer_flowrate <= 0 or transfer_flowrate == 0.5:
final_transfer_flowrate = min(calculated_flowrate, 5.0)
debug_print(f" - 调整 transfer_flowrate 为: {final_transfer_flowrate}mL/s")
# 4. 根据速度规格调整
if rate_spec:
debug_print(f"🔍 步骤5: 根据速度规格调整...")
debug_print(f" - 速度规格: '{rate_spec}'")
if rate_spec == "dropwise":
final_flowrate = min(final_flowrate, 0.1)
final_transfer_flowrate = min(final_transfer_flowrate, 0.1)
debug_print(f" - dropwise模式流速调整为: {final_flowrate}mL/s")
elif rate_spec == "slowly":
final_flowrate = min(final_flowrate, 0.5)
final_transfer_flowrate = min(final_transfer_flowrate, 0.3)
debug_print(f" - slowly模式流速调整为: {final_flowrate}mL/s")
elif rate_spec == "quickly":
final_flowrate = max(final_flowrate, 5.0)
final_transfer_flowrate = max(final_transfer_flowrate, 2.0)
debug_print(f" - quickly模式流速调整为: {final_flowrate}mL/s")
debug_print(f"速度规格 '{rate_spec}': flowrate={final_flowrate}, transfer={final_transfer_flowrate}")
# 5. 处理冲洗参数
debug_print(f"🔍 步骤6: 处理冲洗参数...")
final_rinsing_solvent = rinsing_solvent
final_rinsing_volume = rinsing_volume if rinsing_volume > 0 else 5.0
final_rinsing_repeats = rinsing_repeats if rinsing_repeats > 0 else 2
if rinsing_volume <= 0:
logger.warning(f"⚠️ rinsing_volume <= 0修正为: {final_rinsing_volume}mL")
logger.warning(f"rinsing_volume <= 0修正为: {final_rinsing_volume}mL")
if rinsing_repeats <= 0:
logger.warning(f"⚠️ rinsing_repeats <= 0修正为: {final_rinsing_repeats}")
logger.warning(f"rinsing_repeats <= 0修正为: {final_rinsing_repeats}")
# 根据物理属性调整冲洗参数
if viscous or solid:
final_rinsing_repeats = max(final_rinsing_repeats, 3)
final_rinsing_volume = max(final_rinsing_volume, 10.0)
debug_print(f"🧪 粘稠/固体物质,调整冲洗参数:{final_rinsing_repeats}次,{final_rinsing_volume}mL")
# 参数总结
debug_print("📊 最终参数总结:")
debug_print(f" - 体积: {final_volume}mL")
debug_print(f" - 流速: {final_flowrate}mL/s")
debug_print(f" - 转移流速: {final_transfer_flowrate}mL/s")
debug_print(f" - 冲洗溶剂: '{final_rinsing_solvent}'")
debug_print(f" - 冲洗体积: {final_rinsing_volume}mL")
debug_print(f" - 冲洗次数: {final_rinsing_repeats}")
# ========== 执行基础转移 ==========
debug_print("🔧 步骤7: 开始执行基础转移...")
debug_print(f"最终参数: volume={final_volume}mL, flowrate={final_flowrate}mL/s, "
f"transfer_flowrate={final_transfer_flowrate}mL/s, "
f"rinsing={final_rinsing_solvent}/{final_rinsing_volume}mL/{final_rinsing_repeats}")
# 执行基础转移
try:
debug_print(f" - 调用 generate_pump_protocol...")
debug_print(
f" - 参数: G, '{from_vessel_id}', '{to_vessel_id}', {final_volume}, {final_flowrate}, {final_transfer_flowrate}")
pump_action_sequence = generate_pump_protocol(
G, from_vessel_id, to_vessel_id, final_volume,
final_flowrate, final_transfer_flowrate
)
debug_print(f" - generate_pump_protocol 返回结果:")
debug_print(f" - 动作序列长度: {len(pump_action_sequence)}")
debug_print(f" - 动作序列是否为空: {len(pump_action_sequence) == 0}")
debug_print(f"基础转移生成了 {len(pump_action_sequence)} 个动作")
if not pump_action_sequence:
debug_print("基础转移协议生成为空,可能是路径问题")
debug_print(f" - 源容器存在: {from_vessel_id in G.nodes()}")
debug_print(f" - 目标容器存在: {to_vessel_id in G.nodes()}")
debug_print("基础转移协议为空")
if from_vessel_id in G.nodes() and to_vessel_id in G.nodes():
try:
path = nx.shortest_path(G, source=from_vessel_id, target=to_vessel_id)
debug_print(f" - 路径存在: {path}")
except Exception as path_error:
debug_print(f" - 无法找到路径: {str(path_error)}")
debug_print(f"路径存在: {path}")
except Exception:
pass
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"⚠️ 路径问题,无法转移: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}"
"message": f"路径问题,无法转移: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}"
}
}
]
debug_print(f"✅ 基础转移生成了 {len(pump_action_sequence)} 个动作")
# 打印前几个动作用于调试
if len(pump_action_sequence) > 0:
debug_print("🔍 前几个动作预览:")
for i, action in enumerate(pump_action_sequence[:3]):
debug_print(f" 动作 {i + 1}: {action}")
if len(pump_action_sequence) > 3:
debug_print(f" ... 还有 {len(pump_action_sequence) - 3} 个动作")
except Exception as e:
debug_print(f"基础转移失败: {str(e)}")
import traceback
debug_print(f"详细错误: {traceback.format_exc()}")
debug_print(f"基础转移失败: {str(e)}\n{traceback.format_exc()}")
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"转移失败: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}, 错误: {str(e)}"
"message": f"转移失败: {final_volume}mL 从 {from_vessel_id}{to_vessel_id}, 错误: {str(e)}"
}
}
]
# ========== 执行冲洗操作 ==========
debug_print("🔧 步骤8: 检查冲洗操作...")
# 执行冲洗操作
if final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0:
debug_print(f"🧽 开始冲洗操作,溶剂: '{final_rinsing_solvent}'")
try:
if final_rinsing_solvent.strip() != "air":
debug_print(" - 执行液体冲洗...")
rinsing_actions = _generate_rinsing_sequence(
G, from_vessel_id, to_vessel_id, final_rinsing_solvent,
final_rinsing_volume, final_rinsing_repeats,
final_flowrate, final_transfer_flowrate
)
pump_action_sequence.extend(rinsing_actions)
debug_print(f" - 添加了 {len(rinsing_actions)} 个冲洗动作")
else:
debug_print(" - 执行空气冲洗...")
air_rinsing_actions = _generate_air_rinsing_sequence(
G, from_vessel_id, to_vessel_id, final_rinsing_volume, final_rinsing_repeats,
final_flowrate, final_transfer_flowrate
)
pump_action_sequence.extend(air_rinsing_actions)
debug_print(f" - 添加了 {len(air_rinsing_actions)} 个空气冲洗动作")
except Exception as e:
debug_print(f"⚠️ 冲洗操作失败: {str(e)},跳过冲洗")
debug_print(f"冲洗操作失败: {str(e)}")
else:
debug_print(f"⏭️ 跳过冲洗操作")
debug_print(f" - 溶剂: '{final_rinsing_solvent}'")
debug_print(f" - 次数: {final_rinsing_repeats}")
debug_print(f" - 条件满足: {bool(final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0)}")
debug_print(f"跳过冲洗 (solvent='{final_rinsing_solvent}', repeats={final_rinsing_repeats})")
# ========== 最终结果 ==========
debug_print("=" * 60)
debug_print(f"🎉 PUMP_TRANSFER: 协议生成完成")
debug_print(f" 📊 总动作数: {len(pump_action_sequence)}")
debug_print(f" 📋 最终体积: {final_volume}mL")
debug_print(f" 🚀 执行路径: {from_vessel_id} -> {to_vessel_id}")
# 最终结果
debug_print(f"PUMP_TRANSFER 完成: {from_vessel_id} -> {to_vessel_id}, "
f"volume={final_volume}mL, 动作数={len(pump_action_sequence)}")
# 最终验证
if len(pump_action_sequence) == 0:
debug_print("🚨 协议生成结果为空!这是异常情况")
return [
{
"device_id": "system",
"action_name": "log_message",
"action_kwargs": {
"message": f"🚨 协议生成失败: 无法生成任何动作序列"
"message": "协议生成失败: 无法生成任何动作序列"
}
}
]
debug_print("=" * 60)
return pump_action_sequence
def _parse_amount_to_volume(amount: str) -> float:
"""解析 amount 字符串为体积"""
debug_print(f"🔍 解析 amount: '{amount}'")
if not amount:
debug_print(" - amount 为空,返回 0.0")
return 0.0
amount = amount.lower().strip()
debug_print(f" - 处理后的 amount: '{amount}'")
# 处理特殊关键词
if amount == "all":
debug_print(" - 检测到 'all',返回 0.0(需要后续处理)")
return 0.0 # 返回0.0,让调用者处理
# 提取数字
import re
numbers = re.findall(r'[\d.]+', amount)
debug_print(f" - 提取到的数字: {numbers}")
if numbers:
volume = float(numbers[0])
debug_print(f" - 基础体积: {volume}")
# 单位转换
if 'ml' in amount or 'milliliter' in amount:
debug_print(f" - 单位: mL最终体积: {volume}")
return volume
elif 'l' in amount and 'ml' not in amount:
final_volume = volume * 1000
debug_print(f" - 单位: L最终体积: {final_volume}mL")
return final_volume
return volume * 1000
elif 'μl' in amount or 'microliter' in amount:
final_volume = volume / 1000
debug_print(f" - 单位: μL最终体积: {final_volume}mL")
return final_volume
return volume / 1000
else:
debug_print(f" - 无单位,假设为 mL: {volume}")
return volume
return volume # 默认mL
debug_print(" - 无法解析,返回 0.0")
return 0.0

View File

@@ -4,76 +4,64 @@ import logging
from typing import List, Dict, Any, Tuple, Union
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.unit_parser import parse_volume_input
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[RECRYSTALLIZE] {message}")
def parse_ratio(ratio_str: str) -> Tuple[float, float]:
"""
解析比例字符串,支持多种格式
Args:
ratio_str: 比例字符串(如 "1:1", "3:7", "50:50"
Returns:
Tuple[float, float]: 比例元组 (ratio1, ratio2)
"""
debug_print(f"⚖️ 开始解析比例: '{ratio_str}' 📊")
try:
# 处理 "1:1", "3:7", "50:50" 等格式
if ":" in ratio_str:
parts = ratio_str.split(":")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 冒号格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
# 处理 "1-1", "3-7" 等格式
if "-" in ratio_str:
parts = ratio_str.split("-")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 横线格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
# 处理 "1,1", "3,7" 等格式
if "," in ratio_str:
parts = ratio_str.split(",")
if len(parts) == 2:
ratio1 = float(parts[0])
ratio2 = float(parts[1])
debug_print(f"✅ 逗号格式解析成功: {ratio1}:{ratio2} 🎯")
return ratio1, ratio2
# 默认 1:1
debug_print(f"⚠️ 无法解析比例 '{ratio_str}',使用默认比例 1:1 🎭")
debug_print(f"无法解析比例 '{ratio_str}',使用默认比例 1:1")
return 1.0, 1.0
except ValueError:
debug_print(f"比例解析错误 '{ratio_str}',使用默认比例 1:1 🎭")
debug_print(f"比例解析错误 '{ratio_str}',使用默认比例 1:1")
return 1.0, 1.0
def generate_recrystallize_protocol(
G: nx.DiGraph,
vessel: dict, # 🔧 修改:从字符串改为字典类型
vessel: dict,
ratio: str,
solvent1: str,
solvent2: str,
volume: Union[str, float], # 支持字符串和数值
volume: Union[str, float],
**kwargs
) -> List[Dict[str, Any]]:
"""
生成重结晶协议序列 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为容器和设备
vessel: 目标容器字典从XDL传入
@@ -82,28 +70,18 @@ def generate_recrystallize_protocol(
solvent2: 第二种溶剂名称
volume: 总体积(支持 "100 mL", "50", "2.5 L" 等)
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 动作序列
"""
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
action_sequence = []
debug_print("💎" * 20)
debug_print("🚀 开始生成重结晶协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" ⚖️ 比例: {ratio}")
debug_print(f" 🧪 溶剂1: {solvent1}")
debug_print(f" 🧪 溶剂2: {solvent2}")
debug_print(f" 💧 总体积: {volume} (类型: {type(volume)})")
debug_print("💎" * 20)
# 🔧 新增:记录重结晶前的容器状态
debug_print("🔍 记录重结晶前容器状态...")
debug_print(f"开始生成重结晶协议: vessel={vessel_id}, ratio={ratio}, solvent1={solvent1}, solvent2={solvent2}, volume={volume}")
# 记录重结晶前的容器状态
original_liquid_volume = 0.0
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
@@ -111,102 +89,73 @@ def generate_recrystallize_protocol(
original_liquid_volume = current_volume[0]
elif isinstance(current_volume, (int, float)):
original_liquid_volume = current_volume
debug_print(f"📊 重结晶前液体体积: {original_liquid_volume:.2f}mL")
# 1. 验证目标容器存在
debug_print("📍 步骤1: 验证目标容器... 🔧")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 目标容器 '{vessel_id}' 不存在于系统中! 😱")
if vessel_id not in G.nodes():
raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
debug_print(f"✅ 目标容器 '{vessel_id}' 验证通过 🎯")
# 2. 解析体积(支持单位)
debug_print("📍 步骤2: 解析体积(支持单位)... 💧")
final_volume = parse_volume_input(volume, "mL")
debug_print(f"🎯 体积解析完成: {volume} {final_volume}mL")
debug_print(f"体积解析: {volume} -> {final_volume}mL")
# 3. 解析比例
debug_print("📍 步骤3: 解析比例... ⚖️")
ratio1, ratio2 = parse_ratio(ratio)
total_ratio = ratio1 + ratio2
debug_print(f"🎯 比例解析完成: {ratio1}:{ratio2} (总比例: {total_ratio}) ✨")
# 4. 计算各溶剂体积
debug_print("📍 步骤4: 计算各溶剂体积... 🧮")
volume1 = final_volume * (ratio1 / total_ratio)
volume2 = final_volume * (ratio2 / total_ratio)
debug_print(f"🧪 {solvent1} 体积: {volume1:.2f} mL ({ratio1}/{total_ratio} × {final_volume})")
debug_print(f"🧪 {solvent2} 体积: {volume2:.2f} mL ({ratio2}/{total_ratio} × {final_volume})")
debug_print(f"✅ 体积计算完成: 总计 {volume1 + volume2:.2f} mL 🎯")
debug_print(f"溶剂体积: {solvent1}={volume1:.2f}mL, {solvent2}={volume2:.2f}mL")
# 5. 查找溶剂容器
debug_print("📍 步骤5: 查找溶剂容器... 🔍")
try:
debug_print(f" 🔍 查找溶剂1容器...")
solvent1_vessel = find_solvent_vessel(G, solvent1)
debug_print(f" 🎉 找到溶剂1容器: {solvent1_vessel}")
except ValueError as e:
debug_print(f" ❌ 溶剂1容器查找失败: {str(e)} 😭")
raise ValueError(f"无法找到溶剂1 '{solvent1}': {str(e)}")
try:
debug_print(f" 🔍 查找溶剂2容器...")
solvent2_vessel = find_solvent_vessel(G, solvent2)
debug_print(f" 🎉 找到溶剂2容器: {solvent2_vessel}")
except ValueError as e:
debug_print(f" ❌ 溶剂2容器查找失败: {str(e)} 😭")
raise ValueError(f"无法找到溶剂2 '{solvent2}': {str(e)}")
# 6. 验证路径存在
debug_print("📍 步骤6: 验证传输路径... 🛤️")
try:
path1 = nx.shortest_path(G, source=solvent1_vessel, target=vessel_id) # 🔧 使用 vessel_id
debug_print(f" 🛤️ 溶剂1路径: {''.join(path1)}")
path1 = nx.shortest_path(G, source=solvent1_vessel, target=vessel_id)
except nx.NetworkXNoPath:
debug_print(f" ❌ 溶剂1路径不可达: {solvent1_vessel}{vessel_id} 😞")
raise ValueError(f"从溶剂1容器 '{solvent1_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
try:
path2 = nx.shortest_path(G, source=solvent2_vessel, target=vessel_id) # 🔧 使用 vessel_id
debug_print(f" 🛤️ 溶剂2路径: {''.join(path2)}")
path2 = nx.shortest_path(G, source=solvent2_vessel, target=vessel_id)
except nx.NetworkXNoPath:
debug_print(f" ❌ 溶剂2路径不可达: {solvent2_vessel}{vessel_id} 😞")
raise ValueError(f"从溶剂2容器 '{solvent2_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
# 7. 添加第一种溶剂
debug_print("📍 步骤7: 添加第一种溶剂... 🧪")
debug_print(f" 🚰 开始添加溶剂1: {solvent1} ({volume1:.2f} mL)")
try:
pump_actions1 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=volume1, # 使用解析后的体积
to_vessel=vessel_id,
volume=volume1,
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重结晶不需要清洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0, # 正常流速
flowrate=2.0,
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions1)
debug_print(f" ✅ 溶剂1泵送动作已添加: {len(pump_actions1)} 个动作 🚰✨")
except Exception as e:
debug_print(f" ❌ 溶剂1泵协议生成失败: {str(e)} 😭")
raise ValueError(f"生成溶剂1泵协议时出错: {str(e)}")
# 🔧 新增:更新容器体积 - 添加溶剂1后
debug_print(" 🔧 更新容器体积 - 添加溶剂1后...")
# 更新容器体积 - 添加溶剂1后
new_volume_after_solvent1 = original_liquid_volume + volume1
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -216,15 +165,14 @@ def generate_recrystallize_protocol(
vessel["data"]["liquid_volume"] = [new_volume_after_solvent1]
else:
vessel["data"]["liquid_volume"] = new_volume_after_solvent1
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume_after_solvent1
@@ -232,53 +180,42 @@ def generate_recrystallize_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume_after_solvent1]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume_after_solvent1
debug_print(f" 📊 体积更新: {original_liquid_volume:.2f}mL + {volume1:.2f}mL = {new_volume_after_solvent1:.2f}mL")
# 8. 等待溶剂1稳定
debug_print(" ⏳ 添加溶剂1稳定等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 5.0, # 缩短等待时间
"time": 5.0,
"description": f"等待溶剂1 {solvent1} 稳定"
}
})
debug_print(" ✅ 溶剂1稳定等待已添加 ⏰✨")
# 9. 添加第二种溶剂
debug_print("📍 步骤8: 添加第二种溶剂... 🧪")
debug_print(f" 🚰 开始添加溶剂2: {solvent2} ({volume2:.2f} mL)")
try:
pump_actions2 = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
to_vessel=vessel_id, # 🔧 使用 vessel_id
volume=volume2, # 使用解析后的体积
to_vessel=vessel_id,
volume=volume2,
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重结晶不需要清洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.0, # 正常流速
flowrate=2.0,
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions2)
debug_print(f" ✅ 溶剂2泵送动作已添加: {len(pump_actions2)} 个动作 🚰✨")
except Exception as e:
debug_print(f" ❌ 溶剂2泵协议生成失败: {str(e)} 😭")
raise ValueError(f"生成溶剂2泵协议时出错: {str(e)}")
# 🔧 新增:更新容器体积 - 添加溶剂2后
debug_print(" 🔧 更新容器体积 - 添加溶剂2后...")
# 更新容器体积 - 添加溶剂2后
final_liquid_volume = new_volume_after_solvent1 + volume2
# 更新vessel字典中的体积
if "data" in vessel and "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
@@ -288,15 +225,14 @@ def generate_recrystallize_protocol(
vessel["data"]["liquid_volume"] = [final_liquid_volume]
else:
vessel["data"]["liquid_volume"] = final_liquid_volume
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = final_liquid_volume
@@ -304,36 +240,25 @@ def generate_recrystallize_protocol(
G.nodes[vessel_id]['data']['liquid_volume'] = [final_liquid_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = final_liquid_volume
debug_print(f" 📊 最终体积: {new_volume_after_solvent1:.2f}mL + {volume2:.2f}mL = {final_liquid_volume:.2f}mL")
# 10. 等待溶剂2稳定
debug_print(" ⏳ 添加溶剂2稳定等待...")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
"time": 5.0, # 缩短等待时间
"time": 5.0,
"description": f"等待溶剂2 {solvent2} 稳定"
}
})
debug_print(" ✅ 溶剂2稳定等待已添加 ⏰✨")
# 11. 等待重结晶完成
debug_print("📍 步骤9: 等待重结晶完成... 💎")
# 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
original_crystallize_time = 600.0 # 原始重结晶时间
simulation_time_limit = 60.0 # 模拟运行时间限制60秒
original_crystallize_time = 600.0
simulation_time_limit = 60.0
final_crystallize_time = min(original_crystallize_time, simulation_time_limit)
if original_crystallize_time > simulation_time_limit:
debug_print(f" 🎮 模拟运行优化: {original_crystallize_time}s {final_crystallize_time}s")
debug_print(f" 📊 时间缩短: {original_crystallize_time/60:.1f}分钟 → {final_crystallize_time/60:.1f}分钟 🚀")
else:
debug_print(f" ✅ 时间在限制内: {final_crystallize_time}s 保持不变 🎯")
debug_print(f"模拟运行优化: {original_crystallize_time}s -> {final_crystallize_time}s")
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -341,50 +266,28 @@ def generate_recrystallize_protocol(
"description": f"等待重结晶完成({solvent1}:{solvent2} = {ratio},总体积 {final_volume}mL" + (f" (模拟时间)" if original_crystallize_time != final_crystallize_time else "")
}
})
debug_print(f" ✅ 重结晶等待已添加: {final_crystallize_time}s 💎✨")
# 显示时间调整信息
if original_crystallize_time != final_crystallize_time:
debug_print(f" 🎭 模拟优化说明: 原计划 {original_crystallize_time/60:.1f}分钟,实际模拟 {final_crystallize_time/60:.1f}分钟 ⚡")
# 总结
debug_print("💎" * 20)
debug_print(f"🎉 重结晶协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 目标容器: {vessel_id}")
debug_print(f"💧 总体积变化:")
debug_print(f" - 原始体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 添加溶剂: {final_volume:.2f}mL")
debug_print(f" - 最终体积: {final_liquid_volume:.2f}mL")
debug_print(f"⚖️ 溶剂比例: {solvent1}:{solvent2} = {ratio1}:{ratio2}")
debug_print(f"🧪 溶剂1: {solvent1} ({volume1:.2f}mL)")
debug_print(f"🧪 溶剂2: {solvent2} ({volume2:.2f}mL)")
debug_print(f"⏱️ 预计总时间: {(final_crystallize_time + 10)/60:.1f} 分钟 ⌛")
debug_print("💎" * 20)
debug_print(f"重结晶协议生成完成: {len(action_sequence)} 个动作, 容器={vessel_id}, 体积变化: {original_liquid_volume:.2f} -> {final_liquid_volume:.2f}mL")
return action_sequence
# 测试函数
def test_recrystallize_protocol():
"""测试重结晶协议"""
debug_print("🧪 === RECRYSTALLIZE PROTOCOL 测试 ===")
# 测试体积解析
debug_print("💧 测试体积解析...")
debug_print("=== RECRYSTALLIZE PROTOCOL 测试 ===")
test_volumes = ["100 mL", "2.5 L", "500", "50.5", "?", "invalid"]
for vol in test_volumes:
parsed = parse_volume_input(vol)
debug_print(f" 📊 体积 '{vol}' -> {parsed}mL")
# 测试比例解析
debug_print("⚖️ 测试比例解析...")
debug_print(f"体积 '{vol}' -> {parsed}mL")
test_ratios = ["1:1", "3:7", "50:50", "1-1", "2,8", "invalid"]
for ratio in test_ratios:
r1, r2 = parse_ratio(ratio)
debug_print(f" 📊 比例 '{ratio}' -> {r1}:{r2}")
debug_print("测试完成 🎉")
debug_print(f"比例 '{ratio}' -> {r1}:{r2}")
debug_print("测试完成")
if __name__ == "__main__":
test_recrystallize_protocol()
test_recrystallize_protocol()

View File

@@ -1,253 +1,87 @@
import networkx as nx
import logging
import sys
from typing import List, Dict, Any, Optional
from .utils.logger_util import debug_print, action_log
from .utils.vessel_parser import find_solvent_vessel
from .pump_protocol import generate_pump_protocol_with_rinsing
# 设置日志
logger = logging.getLogger(__name__)
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
print(f"[重置处理] {safe_message}", flush=True)
logger.info(f"[重置处理] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
print(f"[重置处理] {safe_message}", flush=True)
logger.info(f"[重置处理] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
print(f"[重置处理] {fallback_message}", flush=True)
logger.info(f"[重置处理] {fallback_message}")
def create_action_log(message: str, emoji: str = "📝") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{emoji} {message}"
debug_print(full_message)
logger.info(full_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"[日志] {message}"
debug_print(safe_message)
logger.info(safe_message)
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""
查找溶剂容器,支持多种匹配模式
Args:
G: 网络图
solvent: 溶剂名称(如 "methanol", "ethanol", "water"
Returns:
str: 溶剂容器ID
"""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器...")
# 构建可能的容器名称
possible_names = [
f"flask_{solvent}", # flask_methanol
f"bottle_{solvent}", # bottle_methanol
f"reagent_{solvent}", # reagent_methanol
f"reagent_bottle_{solvent}", # reagent_bottle_methanol
f"{solvent}_flask", # methanol_flask
f"{solvent}_bottle", # methanol_bottle
f"{solvent}", # methanol
f"vessel_{solvent}", # vessel_methanol
]
debug_print(f"🎯 候选容器名称: {possible_names[:3]}... (共{len(possible_names)}个)")
# 第一步:通过容器名称匹配
debug_print("📋 方法1: 精确名称匹配...")
for vessel_name in possible_names:
if vessel_name in G.nodes():
debug_print(f"✅ 通过名称匹配找到容器: {vessel_name}")
return vessel_name
debug_print("⚠️ 精确名称匹配失败,尝试模糊匹配...")
# 第二步:通过模糊匹配
debug_print("📋 方法2: 模糊名称匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
node_name = G.nodes[node_id].get('name', '').lower()
# 检查是否包含溶剂名称
if solvent.lower() in node_id.lower() or solvent.lower() in node_name:
debug_print(f"✅ 通过模糊匹配找到容器: {node_id}")
return node_id
debug_print("⚠️ 模糊匹配失败,尝试液体类型匹配...")
# 第三步:通过液体类型匹配
debug_print("📋 方法3: 液体类型匹配...")
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
for liquid in liquids:
if isinstance(liquid, dict):
liquid_type = (liquid.get('liquid_type') or liquid.get('name', '')).lower()
reagent_name = vessel_data.get('reagent_name', '').lower()
if solvent.lower() in liquid_type or solvent.lower() in reagent_name:
debug_print(f"✅ 通过液体类型匹配找到容器: {node_id}")
return node_id
# 列出可用容器帮助调试
debug_print("📊 显示可用容器信息...")
available_containers = []
for node_id in G.nodes():
if G.nodes[node_id].get('type') == 'container':
vessel_data = G.nodes[node_id].get('data', {})
liquids = vessel_data.get('liquid', [])
liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
for liquid in liquids if isinstance(liquid, dict)]
available_containers.append({
'id': node_id,
'name': G.nodes[node_id].get('name', ''),
'liquids': liquid_types,
'reagent_name': vessel_data.get('reagent_name', '')
})
debug_print(f"📋 可用容器列表 (共{len(available_containers)}个):")
for i, container in enumerate(available_containers[:5]): # 只显示前5个
debug_print(f" {i+1}. 🥽 {container['id']}: {container['name']}")
debug_print(f" 💧 液体: {container['liquids']}")
debug_print(f" 🧪 试剂: {container['reagent_name']}")
if len(available_containers) > 5:
debug_print(f" ... 还有 {len(available_containers)-5} 个容器")
debug_print(f"❌ 找不到溶剂 '{solvent}' 对应的容器")
raise ValueError(f"找不到溶剂 '{solvent}' 对应的容器。尝试了: {possible_names[:3]}...")
create_action_log = action_log
def generate_reset_handling_protocol(
G: nx.DiGraph,
solvent: str,
vessel: Optional[str] = None, # 🆕 新增可选vessel参数
**kwargs # 接收其他可能的参数但不使用
vessel: Optional[str] = None,
**kwargs
) -> List[Dict[str, Any]]:
"""
生成重置处理协议序列 - 支持自定义容器
Args:
G: 有向图,节点为容器和设备
solvent: 溶剂名称从XDL传入
vessel: 目标容器名称(可选,默认为 "main_reactor"
**kwargs: 其他可选参数,但不使用
Returns:
List[Dict[str, Any]]: 动作序列
"""
action_sequence = []
# 🔧 修改支持自定义vessel参数
target_vessel = vessel if vessel is not None else "main_reactor" # 默认目标容器
volume = 50.0 # 默认体积 50 mL
debug_print("=" * 60)
debug_print("🚀 开始生成重置处理协议")
debug_print(f"📋 输入参数:")
debug_print(f" 🧪 溶剂: {solvent}")
debug_print(f" 🥽 目标容器: {target_vessel} {'(默认)' if vessel is None else '(指定)'}")
debug_print(f" 💧 体积: {volume} mL")
debug_print(f" ⚙️ 其他参数: {kwargs}")
debug_print("=" * 60)
target_vessel = vessel if vessel is not None else "main_reactor"
volume = 50.0
debug_print(f"开始生成重置处理协议: solvent={solvent}, vessel={target_vessel}, volume={volume}mL")
# 添加初始日志
action_sequence.append(create_action_log(f"开始重置处理操作 - 容器: {target_vessel}", "🎬"))
action_sequence.append(create_action_log(f"使用溶剂: {solvent}", "🧪"))
action_sequence.append(create_action_log(f"重置体积: {volume}mL", "💧"))
action_sequence.append(action_log(f"开始重置处理操作 - 容器: {target_vessel}", "🎬"))
action_sequence.append(action_log(f"使用溶剂: {solvent}", "🧪"))
action_sequence.append(action_log(f"重置体积: {volume}mL", "💧"))
if vessel is None:
action_sequence.append(create_action_log("使用默认目标容器: main_reactor", "⚙️"))
action_sequence.append(action_log("使用默认目标容器: main_reactor", "⚙️"))
else:
action_sequence.append(create_action_log(f"使用指定目标容器: {vessel}", "🎯"))
action_sequence.append(action_log(f"使用指定目标容器: {vessel}", "🎯"))
# 1. 验证目标容器存在
debug_print("🔍 步骤1: 验证目标容器...")
action_sequence.append(create_action_log("正在验证目标容器...", "🔍"))
action_sequence.append(action_log("正在验证目标容器...", "🔍"))
if target_vessel not in G.nodes():
debug_print(f"目标容器 '{target_vessel}' 不存在于系统中!")
action_sequence.append(create_action_log(f"目标容器 '{target_vessel}' 不存在", ""))
action_sequence.append(action_log(f"目标容器 '{target_vessel}' 不存在", ""))
raise ValueError(f"目标容器 '{target_vessel}' 不存在于系统中")
debug_print(f"目标容器 '{target_vessel}' 验证通过")
action_sequence.append(create_action_log(f"目标容器验证通过: {target_vessel}", ""))
action_sequence.append(action_log(f"目标容器验证通过: {target_vessel}", ""))
# 2. 查找溶剂容器
debug_print("🔍 步骤2: 查找溶剂容器...")
action_sequence.append(create_action_log("正在查找溶剂容器...", "🔍"))
action_sequence.append(action_log("正在查找溶剂容器...", "🔍"))
try:
solvent_vessel = find_solvent_vessel(G, solvent)
debug_print(f"找到溶剂容器: {solvent_vessel}")
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", ""))
debug_print(f"找到溶剂容器: {solvent_vessel}")
action_sequence.append(action_log(f"找到溶剂容器: {solvent_vessel}", ""))
except ValueError as e:
debug_print(f"溶剂容器查找失败: {str(e)}")
action_sequence.append(create_action_log(f"溶剂容器查找失败: {str(e)}", ""))
action_sequence.append(action_log(f"溶剂容器查找失败: {str(e)}", ""))
raise ValueError(f"无法找到溶剂 '{solvent}': {str(e)}")
# 3. 验证路径存在
debug_print("🔍 步骤3: 验证传输路径...")
action_sequence.append(create_action_log("正在验证传输路径...", "🛤️"))
action_sequence.append(action_log("正在验证传输路径...", "🛤️"))
try:
path = nx.shortest_path(G, source=solvent_vessel, target=target_vessel)
debug_print(f"✅ 找到路径: {''.join(path)}")
action_sequence.append(create_action_log(f"传输路径: {''.join(path)}", "🛤️"))
action_sequence.append(action_log(f"传输路径: {''.join(path)}", "🛤️"))
except nx.NetworkXNoPath:
debug_print(f"路径不可达: {solvent_vessel}{target_vessel}")
action_sequence.append(create_action_log(f"路径不可达: {solvent_vessel}{target_vessel}", ""))
action_sequence.append(action_log(f"路径不可达: {solvent_vessel}{target_vessel}", ""))
raise ValueError(f"从溶剂容器 '{solvent_vessel}' 到目标容器 '{target_vessel}' 没有可用路径")
# 4. 使用pump_protocol转移溶剂
debug_print("🔍 步骤4: 转移溶剂...")
action_sequence.append(create_action_log("开始溶剂转移操作...", "🚰"))
debug_print(f"🚛 开始转移: {solvent_vessel}{target_vessel}")
debug_print(f"💧 转移体积: {volume} mL")
action_sequence.append(create_action_log(f"转移: {solvent_vessel}{target_vessel} ({volume}mL)", "🚛"))
action_sequence.append(action_log("开始溶剂转移操作...", "🚰"))
action_sequence.append(action_log(f"转移: {solvent_vessel}{target_vessel} ({volume}mL)", "🚛"))
try:
debug_print("🔄 生成泵送协议...")
action_sequence.append(create_action_log("正在生成泵送协议...", "🔄"))
action_sequence.append(action_log("正在生成泵送协议...", "🔄"))
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
@@ -256,41 +90,34 @@ def generate_reset_handling_protocol(
amount="",
time=0.0,
viscous=False,
rinsing_solvent="", # 重置处理不需要清洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0,
solid=False,
flowrate=2.5, # 正常流速
transfer_flowrate=0.5 # 正常转移流速
flowrate=2.5,
transfer_flowrate=0.5
)
action_sequence.extend(pump_actions)
debug_print(f"泵送协议已添加: {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"泵送协议完成 ({len(pump_actions)} 个操作)", ""))
debug_print(f"泵送协议已添加: {len(pump_actions)} 个动作")
action_sequence.append(action_log(f"泵送协议完成 ({len(pump_actions)} 个操作)", ""))
except Exception as e:
debug_print(f"泵送协议生成失败: {str(e)}")
action_sequence.append(create_action_log(f"泵送协议生成失败: {str(e)}", ""))
action_sequence.append(action_log(f"泵送协议生成失败: {str(e)}", ""))
raise ValueError(f"生成泵协议时出错: {str(e)}")
# 5. 等待溶剂稳定
debug_print("🔍 步骤5: 等待溶剂稳定...")
action_sequence.append(create_action_log("等待溶剂稳定...", ""))
# 模拟运行时间优化
debug_print("⏱️ 检查模拟运行时间限制...")
original_wait_time = 10.0 # 原始等待时间
simulation_time_limit = 5.0 # 模拟运行时间限制5秒
action_sequence.append(action_log("等待溶剂稳定...", ""))
original_wait_time = 10.0
simulation_time_limit = 5.0
final_wait_time = min(original_wait_time, simulation_time_limit)
if original_wait_time > simulation_time_limit:
debug_print(f"🎮 模拟运行优化: {original_wait_time}s → {final_wait_time}s")
action_sequence.append(create_action_log(f"时间优化: {original_wait_time}s → {final_wait_time}s", ""))
action_sequence.append(action_log(f"时间优化: {original_wait_time}s → {final_wait_time}s", ""))
else:
debug_print(f"✅ 时间在限制内: {final_wait_time}s 保持不变")
action_sequence.append(create_action_log(f"等待时间: {final_wait_time}s", ""))
action_sequence.append(action_log(f"等待时间: {final_wait_time}s", ""))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -298,90 +125,50 @@ def generate_reset_handling_protocol(
"description": f"等待溶剂 {solvent} 在容器 {target_vessel} 中稳定" + (f" (模拟时间)" if original_wait_time != final_wait_time else "")
}
})
debug_print(f"✅ 稳定等待已添加: {final_wait_time}s")
# 显示时间调整信息
if original_wait_time != final_wait_time:
debug_print(f"🎭 模拟优化说明: 原计划 {original_wait_time}s实际模拟 {final_wait_time}s")
action_sequence.append(create_action_log("应用模拟时间优化", "🎭"))
action_sequence.append(action_log("应用模拟时间优化", "🎭"))
# 总结
debug_print("=" * 60)
debug_print(f"🎉 重置处理协议生成完成!")
debug_print(f"📊 总结信息:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🧪 溶剂: {solvent}")
debug_print(f" 🥽 源容器: {solvent_vessel}")
debug_print(f" 🥽 目标容器: {target_vessel} {'(默认)' if vessel is None else '(指定)'}")
debug_print(f" 💧 转移体积: {volume} mL")
debug_print(f" ⏱️ 预计总时间: {(final_wait_time + 5):.0f}")
debug_print(f" 🎯 操作结果: 已添加 {volume} mL {solvent}{target_vessel}")
debug_print("=" * 60)
# 添加完成日志
debug_print(f"重置处理协议生成完成: {len(action_sequence)} 个动作, {solvent_vessel} -> {target_vessel}, {volume}mL")
summary_msg = f"重置处理完成: {target_vessel} (使用 {volume}mL {solvent})"
if vessel is None:
summary_msg += " [默认容器]"
else:
summary_msg += " [指定容器]"
action_sequence.append(create_action_log(summary_msg, "🎉"))
action_sequence.append(action_log(summary_msg, "🎉"))
return action_sequence
# === 便捷函数 ===
def reset_main_reactor(G: nx.DiGraph, solvent: str = "methanol", **kwargs) -> List[Dict[str, Any]]:
"""重置主反应器 (默认行为)"""
debug_print(f"🔄 重置主反应器,使用溶剂: {solvent}")
return generate_reset_handling_protocol(G, solvent=solvent, vessel=None, **kwargs)
def reset_custom_vessel(G: nx.DiGraph, vessel: str, solvent: str = "methanol", **kwargs) -> List[Dict[str, Any]]:
"""重置指定容器"""
debug_print(f"🔄 重置指定容器: {vessel},使用溶剂: {solvent}")
return generate_reset_handling_protocol(G, solvent=solvent, vessel=vessel, **kwargs)
def reset_with_water(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用水重置容器"""
target = vessel or "main_reactor"
debug_print(f"💧 使用水重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="water", vessel=vessel, **kwargs)
def reset_with_methanol(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用甲醇重置容器"""
target = vessel or "main_reactor"
debug_print(f"🧪 使用甲醇重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="methanol", vessel=vessel, **kwargs)
def reset_with_ethanol(G: nx.DiGraph, vessel: Optional[str] = None, **kwargs) -> List[Dict[str, Any]]:
"""使用乙醇重置容器"""
target = vessel or "main_reactor"
debug_print(f"🧪 使用乙醇重置容器: {target}")
return generate_reset_handling_protocol(G, solvent="ethanol", vessel=vessel, **kwargs)
# 测试函数
def test_reset_handling_protocol():
"""测试重置处理协议"""
debug_print("=== 重置处理协议增强中文版测试 ===")
# 测试溶剂名称
debug_print("🧪 测试常用溶剂名称...")
test_solvents = ["methanol", "ethanol", "water", "acetone", "dmso"]
for solvent in test_solvents:
debug_print(f" 🔍 测试溶剂: {solvent}")
# 测试容器参数
debug_print("🥽 测试容器参数...")
test_cases = [
{"solvent": "methanol", "vessel": None, "desc": "默认容器"},
{"solvent": "ethanol", "vessel": "reactor_2", "desc": "指定容器"},
{"solvent": "water", "vessel": "flask_1", "desc": "自定义容器"}
]
for case in test_cases:
debug_print(f" 🧪 测试案例: {case['desc']} - {case['solvent']} -> {case['vessel'] or 'main_reactor'}")
debug_print("✅ 测试完成")
debug_print("=== 重置处理协议测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_reset_handling_protocol()
test_reset_handling_protocol()

View File

@@ -2,60 +2,54 @@ from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.vessel_parser import get_vessel
from .utils.vessel_parser import get_vessel, find_solvent_vessel
from .utils.resource_helper import get_resource_id, get_resource_data, get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[RUN_COLUMN] {message}")
def parse_percentage(pct_str: str) -> float:
"""
解析百分比字符串为数值
Args:
pct_str: 百分比字符串(如 "40 %", "40%", "40"
Returns:
float: 百分比数值0-100
"""
if not pct_str or not pct_str.strip():
return 0.0
pct_str = pct_str.strip().lower()
debug_print(f"🔍 解析百分比: '{pct_str}'")
# 移除百分号和空格
pct_clean = re.sub(r'[%\s]', '', pct_str)
# 提取数字
match = re.search(r'([0-9]*\.?[0-9]+)', pct_clean)
if match:
value = float(match.group(1))
debug_print(f"✅ 百分比解析结果: {value}%")
return value
debug_print(f"⚠️ 无法解析百分比: '{pct_str}'返回0.0")
debug_print(f"无法解析百分比: '{pct_str}'返回0.0")
return 0.0
def parse_ratio(ratio_str: str) -> tuple:
"""
解析比例字符串为两个数值
Args:
ratio_str: 比例字符串(如 "5:95", "1:1", "40:60"
Returns:
tuple: (ratio1, ratio2) 两个比例值
tuple: (ratio1, ratio2) 两个比例值(百分比)
"""
if not ratio_str or not ratio_str.strip():
return (50.0, 50.0) # 默认1:1
return (50.0, 50.0)
ratio_str = ratio_str.strip()
debug_print(f"🔍 解析比例: '{ratio_str}'")
# 支持多种分隔符:: / -
if ':' in ratio_str:
parts = ratio_str.split(':')
@@ -66,101 +60,82 @@ def parse_ratio(ratio_str: str) -> tuple:
elif 'to' in ratio_str.lower():
parts = ratio_str.lower().split('to')
else:
debug_print(f"⚠️ 无法解析比例格式: '{ratio_str}'使用默认1:1")
debug_print(f"无法解析比例格式: '{ratio_str}'使用默认1:1")
return (50.0, 50.0)
if len(parts) >= 2:
try:
ratio1 = float(parts[0].strip())
ratio2 = float(parts[1].strip())
total = ratio1 + ratio2
# 转换为百分比
pct1 = (ratio1 / total) * 100
pct2 = (ratio2 / total) * 100
debug_print(f"✅ 比例解析结果: {ratio1}:{ratio2} -> {pct1:.1f}%:{pct2:.1f}%")
return (pct1, pct2)
except ValueError as e:
debug_print(f"⚠️ 比例数值转换失败: {str(e)}")
debug_print(f"⚠️ 比例解析失败使用默认1:1")
debug_print(f"比例数值转换失败: {str(e)}")
debug_print(f"比例解析失败使用默认1:1")
return (50.0, 50.0)
def parse_rf_value(rf_str: str) -> float:
"""
解析Rf值字符串
Args:
rf_str: Rf值字符串"0.3", "0.45", "?"
Returns:
float: Rf值0-1
"""
if not rf_str or not rf_str.strip():
return 0.3 # 默认Rf值
return 0.3
rf_str = rf_str.strip().lower()
debug_print(f"🔍 解析Rf值: '{rf_str}'")
# 处理未知Rf值
if rf_str in ['?', 'unknown', 'tbd', 'to be determined']:
default_rf = 0.3
debug_print(f"❓ 检测到未知Rf值使用默认值: {default_rf}")
return default_rf
# 提取数字
return 0.3
match = re.search(r'([0-9]*\.?[0-9]+)', rf_str)
if match:
value = float(match.group(1))
# 确保Rf值在0-1范围内
if value > 1.0:
value = value / 100.0 # 可能是百分比形式
value = max(0.0, min(1.0, value)) # 限制在0-1范围
debug_print(f"✅ Rf值解析结果: {value}")
value = value / 100.0
value = max(0.0, min(1.0, value))
return value
debug_print(f"⚠️ 无法解析Rf值: '{rf_str}'使用默认值0.3")
return 0.3
def find_column_device(G: nx.DiGraph) -> str:
"""查找柱层析设备"""
debug_print("🔍 查找柱层析设备...")
# 查找虚拟柱设备
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'virtual_column' in node_class.lower() or 'column' in node_class.lower():
debug_print(f"🎉 找到柱层析设备: {node}")
debug_print(f"找到柱层析设备: {node}")
return node
# 如果没有找到,尝试创建虚拟设备名称
possible_names = ['column_1', 'virtual_column_1', 'chromatography_column_1']
for name in possible_names:
if name in G.nodes():
debug_print(f"🎉 找到柱设备: {name}")
debug_print(f"找到柱设备: {name}")
return name
debug_print("⚠️ 未找到柱层析设备将使用pump protocol直接转移")
debug_print("未找到柱层析设备将使用pump protocol直接转移")
return ""
def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"""查找柱容器"""
debug_print(f"🔍 查找柱容器: '{column}'")
# 直接检查column参数是否是容器
if column in G.nodes():
node_type = G.nodes[column].get('type', '')
if node_type == 'container':
debug_print(f"🎉 找到柱容器: {column}")
return column
# 尝试常见的命名规则
possible_names = [
f"column_{column}",
f"{column}_column",
f"{column}_column",
f"vessel_{column}",
f"{column}_vessel",
"column_vessel",
@@ -169,211 +144,25 @@ def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"preparative_column",
"column"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"🎉 找到柱容器: {vessel_name}")
return vessel_name
debug_print(f"⚠️ 未找到柱容器,将直接在源容器中进行分离")
return ""
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器 - 增强版"""
if not solvent or not solvent.strip():
return ""
solvent = solvent.strip().replace(' ', '_').lower()
debug_print(f"🔍 查找溶剂容器: '{solvent}'")
# 🔧 方法1直接搜索 data.reagent_name
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
reagent_config = G.nodes[node].get('config', {}).get('reagent', '').lower()
# 检查 data.reagent_name 和 config.reagent
if reagent_name == solvent or reagent_config == solvent:
debug_print(f"🎉 通过reagent_name找到溶剂容器: {node} (reagent: {reagent_name or reagent_config}) ✨")
return node
# 模糊匹配 reagent_name
if solvent in reagent_name or reagent_name in solvent:
debug_print(f"🎉 通过reagent_name模糊匹配到溶剂容器: {node} (reagent: {reagent_name}) ✨")
return node
if solvent in reagent_config or reagent_config in solvent:
debug_print(f"🎉 通过config.reagent模糊匹配到溶剂容器: {node} (reagent: {reagent_config}) ✨")
return node
# 🔧 方法2常见的溶剂容器命名规则
possible_names = [
f"flask_{solvent}",
f"bottle_{solvent}",
f"reagent_{solvent}",
f"{solvent}_bottle",
f"{solvent}_flask",
f"solvent_{solvent}",
f"reagent_bottle_{solvent}"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
node_type = G.nodes[vessel_name].get('type', '')
if node_type == 'container':
debug_print(f"🎉 通过命名规则找到溶剂容器: {vessel_name}")
return vessel_name
# 🔧 方法3节点名称模糊匹配
for node in G.nodes():
node_type = G.nodes[node].get('type', '')
if node_type == 'container':
if ('flask_' in node or 'bottle_' in node or 'reagent_' in node) and solvent in node.lower():
debug_print(f"🎉 通过节点名称模糊匹配到溶剂容器: {node}")
return node
# 🔧 方法4特殊溶剂名称映射
solvent_mapping = {
'dmf': ['dmf', 'dimethylformamide', 'n,n-dimethylformamide'],
'ethyl_acetate': ['ethyl_acetate', 'ethylacetate', 'etoac', 'ea'],
'hexane': ['hexane', 'hexanes', 'n-hexane'],
'methanol': ['methanol', 'meoh', 'ch3oh'],
'water': ['water', 'h2o', 'distilled_water'],
'acetone': ['acetone', 'ch3coch3', '2-propanone'],
'dichloromethane': ['dichloromethane', 'dcm', 'ch2cl2', 'methylene_chloride'],
'chloroform': ['chloroform', 'chcl3', 'trichloromethane']
}
# 查找映射的同义词
for canonical_name, synonyms in solvent_mapping.items():
if solvent in synonyms:
debug_print(f"🔍 检测到溶剂同义词: '{solvent}' -> '{canonical_name}'")
return find_solvent_vessel(G, canonical_name) # 递归搜索
debug_print(f"⚠️ 未找到溶剂 '{solvent}' 的容器")
return ""
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 50.0mL")
return 50.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def calculate_solvent_volumes(total_volume: float, pct1: float, pct2: float) -> tuple:
"""根据百分比计算溶剂体积"""
volume1 = (total_volume * pct1) / 100.0
volume2 = (total_volume * pct2) / 100.0
debug_print(f"🧮 溶剂体积计算: 总体积{total_volume}mL")
debug_print(f" - 溶剂1: {pct1}% = {volume1}mL")
debug_print(f" - 溶剂2: {pct2}% = {volume2}mL")
return (volume1, volume2)
def generate_run_column_protocol(
G: nx.DiGraph,
from_vessel: dict, # 🔧 修改:从字符串改为字典类型
to_vessel: dict, # 🔧 修改:从字符串改为字典类型
from_vessel: dict,
to_vessel: dict,
column: str,
rf: str = "",
pct1: str = "",
@@ -385,7 +174,7 @@ def generate_run_column_protocol(
) -> List[Dict[str, Any]]:
"""
生成柱层析分离的协议序列 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为设备和容器,边为流体管道
from_vessel: 源容器字典从XDL传入
@@ -398,173 +187,112 @@ def generate_run_column_protocol(
solvent2: 第二种溶剂名称(可选)
ratio: 溶剂比例(如 "5:95"可选优先级高于pct1/pct2
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 柱层析分离操作的动作序列
"""
# 🔧 核心修改从字典中提取容器ID
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print("🏛️" * 20)
debug_print("🚀 开始生成柱层析协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 from_vessel: {from_vessel} (ID: {from_vessel_id})")
debug_print(f" 🥽 to_vessel: {to_vessel} (ID: {to_vessel_id})")
debug_print(f" 🏛️ column: '{column}'")
debug_print(f" 📊 rf: '{rf}'")
debug_print(f" 🧪 溶剂配比: pct1='{pct1}', pct2='{pct2}', ratio='{ratio}'")
debug_print(f" 🧪 溶剂名称: solvent1='{solvent1}', solvent2='{solvent2}'")
debug_print("🏛️" * 20)
debug_print(f"开始生成柱层析协议: {from_vessel_id} -> {to_vessel_id}, column={column}")
action_sequence = []
# 🔧 新增:记录柱层析前的容器状态
debug_print("🔍 记录柱层析前容器状态...")
original_from_volume = get_vessel_liquid_volume(from_vessel)
original_to_volume = get_vessel_liquid_volume(to_vessel)
debug_print(f"📊 柱层析前状态:")
debug_print(f" - 源容器 {from_vessel_id}: {original_from_volume:.2f}mL")
debug_print(f" - 目标容器 {to_vessel_id}: {original_to_volume:.2f}mL")
# 记录柱层析前的容器状态
original_from_volume = get_resource_liquid_volume(from_vessel)
original_to_volume = get_resource_liquid_volume(to_vessel)
# === 参数验证 ===
debug_print("📍 步骤1: 参数验证...")
if not from_vessel_id: # 🔧 使用 from_vessel_id
if not from_vessel_id:
raise ValueError("from_vessel 参数不能为空")
if not to_vessel_id: # 🔧 使用 to_vessel_id
if not to_vessel_id:
raise ValueError("to_vessel 参数不能为空")
if not column:
raise ValueError("column 参数不能为空")
if from_vessel_id not in G.nodes(): # 🔧 使用 from_vessel_id
if from_vessel_id not in G.nodes():
raise ValueError(f"源容器 '{from_vessel_id}' 不存在于系统中")
if to_vessel_id not in G.nodes(): # 🔧 使用 to_vessel_id
if to_vessel_id not in G.nodes():
raise ValueError(f"目标容器 '{to_vessel_id}' 不存在于系统中")
debug_print("✅ 基本参数验证通过")
# === 参数解析 ===
debug_print("📍 步骤2: 参数解析...")
# 解析Rf值
final_rf = parse_rf_value(rf)
debug_print(f"🎯 最终Rf值: {final_rf}")
# 解析溶剂比例ratio优先级高于pct1/pct2
if ratio and ratio.strip():
final_pct1, final_pct2 = parse_ratio(ratio)
debug_print(f"📊 使用ratio参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
else:
final_pct1 = parse_percentage(pct1) if pct1 else 50.0
final_pct2 = parse_percentage(pct2) if pct2 else 50.0
# 如果百分比和不是100%,进行归一化
total_pct = final_pct1 + final_pct2
if total_pct == 0:
final_pct1, final_pct2 = 50.0, 50.0
elif total_pct != 100.0:
final_pct1 = (final_pct1 / total_pct) * 100
final_pct2 = (final_pct2 / total_pct) * 100
debug_print(f"📊 使用百分比参数: {final_pct1:.1f}% : {final_pct2:.1f}%")
# 设置默认溶剂(如果未指定)
final_solvent1 = solvent1.strip() if solvent1 else "ethyl_acetate"
final_solvent2 = solvent2.strip() if solvent2 else "hexane"
debug_print(f"🧪 最终溶剂: {final_solvent1} : {final_solvent2}")
debug_print(f"参数: rf={final_rf}, 溶剂={final_solvent1}:{final_solvent2} = {final_pct1:.1f}%:{final_pct2:.1f}%")
# === 查找设备和容器 ===
debug_print("📍 步骤3: 查找设备和容器...")
# 查找柱层析设备
column_device_id = find_column_device(G)
# 查找柱容器
column_vessel = find_column_vessel(G, column)
# 查找溶剂容器
solvent1_vessel = find_solvent_vessel(G, final_solvent1)
solvent2_vessel = find_solvent_vessel(G, final_solvent2)
debug_print(f"🔧 设备映射:")
debug_print(f" - 柱设备: '{column_device_id}'")
debug_print(f" - 柱容器: '{column_vessel}'")
debug_print(f" - 溶剂1容器: '{solvent1_vessel}'")
debug_print(f" - 溶剂2容器: '{solvent2_vessel}'")
# === 获取源容器体积 ===
debug_print("📍 步骤4: 获取源容器体积...")
source_volume = original_from_volume
if source_volume <= 0:
source_volume = 50.0 # 默认体积
debug_print(f"⚠️ 无法获取源容器体积,使用默认值: {source_volume}mL")
else:
debug_print(f"✅ 源容器体积: {source_volume}mL")
source_volume = 50.0
# === 计算溶剂体积 ===
debug_print("📍 步骤5: 计算溶剂体积...")
# 洗脱溶剂通常是样品体积的2-5倍
total_elution_volume = source_volume * 3.0
solvent1_volume, solvent2_volume = calculate_solvent_volumes(
total_elution_volume, final_pct1, final_pct2
)
# === 执行柱层析流程 ===
debug_print("📍 步骤6: 执行柱层析流程...")
# 🔧 新增:体积变化跟踪变量
current_from_volume = source_volume
current_to_volume = original_to_volume
current_column_volume = 0.0
try:
# 步骤6.1: 样品上柱(如果有独立的柱容器)
if column_vessel and column_vessel != from_vessel_id: # 🔧 使用 from_vessel_id
debug_print(f"📍 6.1: 样品上柱 - {source_volume}mL 从 {from_vessel_id}{column_vessel}")
# 步骤1: 样品上柱
if column_vessel and column_vessel != from_vessel_id:
try:
sample_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel_id, # 🔧 使用 from_vessel_id
from_vessel=from_vessel_id,
to_vessel=column_vessel,
volume=source_volume,
flowrate=1.0, # 慢速上柱
flowrate=1.0,
transfer_flowrate=0.5,
rinsing_solvent="", # 暂不冲洗
rinsing_solvent="",
rinsing_volume=0.0,
rinsing_repeats=0
)
action_sequence.extend(sample_transfer_actions)
debug_print(f"✅ 样品上柱完成,添加了 {len(sample_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 样品转移到柱上
current_from_volume = 0.0 # 源容器体积变为0
current_column_volume = source_volume # 柱容器体积增加
current_from_volume = 0.0
current_column_volume = source_volume
update_vessel_volume(from_vessel, G, current_from_volume, "样品上柱后,源容器清空")
# 如果柱容器在图中,也更新其体积
if column_vessel in G.nodes():
if 'data' not in G.nodes[column_vessel]:
G.nodes[column_vessel]['data'] = {}
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器 '{column_vessel}' 体积更新为: {current_column_volume:.2f}mL")
except Exception as e:
debug_print(f"⚠️ 样品上柱失败: {str(e)}")
# 步骤6.2: 添加洗脱溶剂1(如果有溶剂容器)
debug_print(f"样品上柱失败: {str(e)}")
# 步骤2: 添加洗脱溶剂1
if solvent1_vessel and solvent1_volume > 0:
debug_print(f"📍 6.2: 添加洗脱溶剂1 - {solvent1_volume:.1f}mL {final_solvent1}")
try:
target_vessel = column_vessel if column_vessel else from_vessel_id # 🔧 使用 from_vessel_id
target_vessel = column_vessel if column_vessel else from_vessel_id
solvent1_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent1_vessel,
@@ -574,27 +302,22 @@ def generate_run_column_protocol(
transfer_flowrate=1.0
)
action_sequence.extend(solvent1_transfer_actions)
debug_print(f"✅ 溶剂1添加完成添加了 {len(solvent1_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 添加溶剂1
if target_vessel == column_vessel:
current_column_volume += solvent1_volume
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器体积增加: +{solvent1_volume:.2f}mL = {current_column_volume:.2f}mL")
elif target_vessel == from_vessel_id:
current_from_volume += solvent1_volume
update_vessel_volume(from_vessel, G, current_from_volume, "添加溶剂1后")
except Exception as e:
debug_print(f"⚠️ 溶剂1添加失败: {str(e)}")
# 步骤6.3: 添加洗脱溶剂2(如果有溶剂容器)
debug_print(f"溶剂1添加失败: {str(e)}")
# 步骤3: 添加洗脱溶剂2
if solvent2_vessel and solvent2_volume > 0:
debug_print(f"📍 6.3: 添加洗脱溶剂2 - {solvent2_volume:.1f}mL {final_solvent2}")
try:
target_vessel = column_vessel if column_vessel else from_vessel_id # 🔧 使用 from_vessel_id
target_vessel = column_vessel if column_vessel else from_vessel_id
solvent2_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent2_vessel,
@@ -604,31 +327,26 @@ def generate_run_column_protocol(
transfer_flowrate=1.0
)
action_sequence.extend(solvent2_transfer_actions)
debug_print(f"✅ 溶剂2添加完成添加了 {len(solvent2_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 添加溶剂2
if target_vessel == column_vessel:
current_column_volume += solvent2_volume
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = current_column_volume
debug_print(f"📊 柱容器体积增加: +{solvent2_volume:.2f}mL = {current_column_volume:.2f}mL")
elif target_vessel == from_vessel_id:
current_from_volume += solvent2_volume
update_vessel_volume(from_vessel, G, current_from_volume, "添加溶剂2后")
except Exception as e:
debug_print(f"⚠️ 溶剂2添加失败: {str(e)}")
# 步骤6.4: 使用柱层析设备执行分离(如果有设备)
debug_print(f"溶剂2添加失败: {str(e)}")
# 步骤4: 使用柱层析设备执行分离
if column_device_id:
debug_print(f"📍 6.4: 使用柱层析设备执行分离")
column_separation_action = {
"device_id": column_device_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel_id, # 🔧 使用 from_vessel_id
"to_vessel": to_vessel_id, # 🔧 使用 to_vessel_id
"from_vessel": from_vessel_id,
"to_vessel": to_vessel_id,
"column": column,
"rf": rf,
"pct1": pct1,
@@ -639,85 +357,65 @@ def generate_run_column_protocol(
}
}
action_sequence.append(column_separation_action)
debug_print(f"✅ 柱层析设备动作已添加")
# 等待分离完成
separation_time = max(30, min(120, int(total_elution_volume / 2))) # 30-120秒基于体积
separation_time = max(30, min(120, int(total_elution_volume / 2)))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": separation_time}
})
debug_print(f"✅ 等待分离完成: {separation_time}")
# 步骤6.5: 产物收集(从柱容器到目标容器)
if column_vessel and column_vessel != to_vessel_id: # 🔧 使用 to_vessel_id
debug_print(f"📍 6.5: 产物收集 - 从 {column_vessel}{to_vessel_id}")
# 步骤5: 产物收集
if column_vessel and column_vessel != to_vessel_id:
try:
# 估算产物体积原始样品体积的70-90%,收率考虑)
product_volume = source_volume * 0.8
product_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=column_vessel,
to_vessel=to_vessel_id, # 🔧 使用 to_vessel_id
to_vessel=to_vessel_id,
volume=product_volume,
flowrate=1.5,
transfer_flowrate=0.8
)
action_sequence.extend(product_transfer_actions)
debug_print(f"✅ 产物收集完成,添加了 {len(product_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 产物收集到目标容器
current_to_volume += product_volume
current_column_volume -= product_volume # 柱容器体积减少
current_column_volume -= product_volume
update_vessel_volume(to_vessel, G, current_to_volume, "产物收集后")
# 更新柱容器体积
if column_vessel in G.nodes():
G.nodes[column_vessel]['data']['liquid_volume'] = max(0.0, current_column_volume)
debug_print(f"📊 柱容器体积减少: -{product_volume:.2f}mL = {current_column_volume:.2f}mL")
except Exception as e:
debug_print(f"⚠️ 产物收集失败: {str(e)}")
# 步骤6.6: 如果没有独立的柱设备和容器,执行简化的直接转移
debug_print(f"产物收集失败: {str(e)}")
# 步骤6: 简化模式 - 直接转移
if not column_device_id and not column_vessel:
debug_print(f"📍 6.6: 简化模式 - 直接转移 {source_volume}mL 从 {from_vessel_id}{to_vessel_id}")
try:
direct_transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=from_vessel_id, # 🔧 使用 from_vessel_id
to_vessel=to_vessel_id, # 🔧 使用 to_vessel_id
from_vessel=from_vessel_id,
to_vessel=to_vessel_id,
volume=source_volume,
flowrate=2.0,
transfer_flowrate=1.0
)
action_sequence.extend(direct_transfer_actions)
debug_print(f"✅ 直接转移完成,添加了 {len(direct_transfer_actions)} 个动作")
# 🔧 新增:更新体积 - 直接转移
current_from_volume = 0.0 # 源容器清空
current_to_volume += source_volume # 目标容器增加
current_from_volume = 0.0
current_to_volume += source_volume
update_vessel_volume(from_vessel, G, current_from_volume, "直接转移后,源容器清空")
update_vessel_volume(to_vessel, G, current_to_volume, "直接转移后,目标容器增加")
except Exception as e:
debug_print(f"⚠️ 直接转移失败: {str(e)}")
debug_print(f"直接转移失败: {str(e)}")
except Exception as e:
debug_print(f"协议生成失败: {str(e)} 😭")
# 不添加不确定的动作直接让action_sequence保持为空列表
# action_sequence 已经在函数开始时初始化为 []
# 确保至少有一个有效的动作,如果完全失败就返回空列表
debug_print(f"协议生成失败: {str(e)}")
if not action_sequence:
debug_print("⚠️ 没有生成任何有效动作")
# 可以选择返回空列表或添加一个基本的等待动作
action_sequence.append({
"action_name": "wait",
"action_kwargs": {
@@ -725,83 +423,50 @@ def generate_run_column_protocol(
"description": "柱层析协议执行完成"
}
})
# 🔧 新增:柱层析完成后的最终状态报告
final_from_volume = get_vessel_liquid_volume(from_vessel)
final_to_volume = get_vessel_liquid_volume(to_vessel)
# 🎊 总结
debug_print("🏛️" * 20)
debug_print(f"🎉 柱层析协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 路径: {from_vessel_id}{to_vessel_id}")
debug_print(f"🏛️ 柱子: {column}")
debug_print(f"🧪 溶剂: {final_solvent1}:{final_solvent2} = {final_pct1:.1f}%:{final_pct2:.1f}%")
debug_print(f"📊 体积变化统计:")
debug_print(f" 源容器 {from_vessel_id}:")
debug_print(f" - 柱层析前: {original_from_volume:.2f}mL")
debug_print(f" - 柱层析后: {final_from_volume:.2f}mL")
debug_print(f" 目标容器 {to_vessel_id}:")
debug_print(f" - 柱层析前: {original_to_volume:.2f}mL")
debug_print(f" - 柱层析后: {final_to_volume:.2f}mL")
debug_print(f" - 收集体积: {final_to_volume - original_to_volume:.2f}mL")
debug_print(f"⏱️ 预计总时间: {len(action_sequence) * 5:.0f} 秒 ⌛")
debug_print("🏛️" * 20)
final_from_volume = get_resource_liquid_volume(from_vessel)
final_to_volume = get_resource_liquid_volume(to_vessel)
debug_print(f"柱层析协议生成完成: {len(action_sequence)} 个动作, {from_vessel_id} -> {to_vessel_id}, 收集={final_to_volume - original_to_volume:.2f}mL")
return action_sequence
# 🔧 新增:便捷函数
def generate_ethyl_acetate_hexane_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
# 便捷函数
def generate_ethyl_acetate_hexane_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, ratio: str = "30:70") -> List[Dict[str, Any]]:
"""乙酸乙酯-己烷柱层析(常用组合)"""
from_vessel_id = from_vessel["id"]
to_vessel_id = to_vessel["id"]
debug_print(f"🧪⛽ 乙酸乙酯-己烷柱层析: {from_vessel_id}{to_vessel_id} @ {ratio}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio=ratio)
def generate_methanol_dcm_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_methanol_dcm_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, ratio: str = "5:95") -> List[Dict[str, Any]]:
"""甲醇-二氯甲烷柱层析"""
from_vessel_id = from_vessel["id"]
to_vessel_id = to_vessel["id"]
debug_print(f"🧪🧪 甲醇-DCM柱层析: {from_vessel_id}{to_vessel_id} @ {ratio}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="methanol", solvent2="dichloromethane", ratio=ratio)
def generate_gradient_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, start_ratio: str = "10:90",
def generate_gradient_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str, start_ratio: str = "10:90",
end_ratio: str = "50:50") -> List[Dict[str, Any]]:
"""梯度洗脱柱层析(中等比例)"""
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"📈 梯度柱层析: {from_vessel_id}{to_vessel_id} ({start_ratio}{end_ratio})")
# 使用中间比例作为近似
return generate_run_column_protocol(G, from_vessel, to_vessel, column, ratio="30:70")
def generate_polar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_polar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str) -> List[Dict[str, Any]]:
"""极性化合物柱层析(高极性溶剂比例)"""
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"⚡ 极性化合物柱层析: {from_vessel_id}{to_vessel_id}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio="70:30")
def generate_nonpolar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
def generate_nonpolar_column_protocol(G: nx.DiGraph, from_vessel: dict, to_vessel: dict,
column: str) -> List[Dict[str, Any]]:
"""非极性化合物柱层析(低极性溶剂比例)"""
from_vessel_id, _ = get_vessel(from_vessel)
to_vessel_id, _ = get_vessel(to_vessel)
debug_print(f"🛢️ 非极性化合物柱层析: {from_vessel_id}{to_vessel_id}")
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
return generate_run_column_protocol(G, from_vessel, to_vessel, column,
solvent1="ethyl_acetate", solvent2="hexane", ratio="5:95")
# 测试函数
def test_run_column_protocol():
"""测试柱层析协议"""
debug_print("🧪 === RUN COLUMN PROTOCOL 测试 ===")
debug_print("测试完成 🎉")
debug_print("=== RUN COLUMN PROTOCOL 测试 ===")
debug_print("测试完成")
if __name__ == "__main__":
test_run_column_protocol()

View File

@@ -1,41 +1,11 @@
from functools import partial
import networkx as nx
import re
import logging
import sys
from typing import List, Dict, Any, Union
from .utils.vessel_parser import get_vessel
from .utils.logger_util import action_log
from .utils.vessel_parser import get_vessel, find_solvent_vessel, find_connected_stirrer
from .utils.resource_helper import get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print, action_log
from .utils.unit_parser import parse_volume_input
from .pump_protocol import generate_pump_protocol_with_rinsing
logger = logging.getLogger(__name__)
# 确保输出编码为UTF-8
if hasattr(sys.stdout, 'reconfigure'):
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except:
pass
def debug_print(message):
"""调试输出函数 - 支持中文"""
try:
# 确保消息是字符串格式
safe_message = str(message)
logger.info(f"[SEPARATE] {safe_message}")
except UnicodeEncodeError:
# 如果编码失败,尝试替换不支持的字符
safe_message = str(message).encode('utf-8', errors='replace').decode('utf-8')
logger.info(f"[SEPARATE] {safe_message}")
except Exception as e:
# 最后的安全措施
fallback_message = f"日志输出错误: {repr(message)}"
logger.info(f"[SEPARATE] {fallback_message}")
create_action_log = partial(action_log, prefix="[SEPARATE]")
def generate_separate_protocol(
G: nx.DiGraph,
@@ -93,45 +63,33 @@ def generate_separate_protocol(
# 🔧 核心修改从字典中提取容器ID
vessel_id, vessel_data = get_vessel(vessel)
debug_print("🌀" * 20)
debug_print("🚀 开始生成分离协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel} (ID: {vessel_id})")
debug_print(f" 🎯 分离目的: '{purpose}'")
debug_print(f" 📊 产物相: '{product_phase}'")
debug_print(f" 💧 溶剂: '{solvent}'")
debug_print(f" 📏 体积: {volume} (类型: {type(volume)})")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f" 🎯 产物容器: '{product_vessel}'")
debug_print(f" 🗑️ 废液容器: '{waste_vessel}'")
debug_print(f" 📦 其他参数: {kwargs}")
debug_print("🌀" * 20)
debug_print(f"开始生成分离协议: vessel={vessel_id}, purpose={purpose}, "
f"product_phase={product_phase}, solvent={solvent}, "
f"volume={volume}, repeats={repeats}")
action_sequence = []
# 🔧 新增:记录分离前的容器状态
debug_print("🔍 记录分离前容器状态...")
original_liquid_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 分离前液体体积: {original_liquid_volume:.2f}mL")
# 记录分离前的容器状态
original_liquid_volume = get_resource_liquid_volume(vessel)
debug_print(f"分离前液体体积: {original_liquid_volume:.2f}mL")
# === 参数验证和标准化 ===
debug_print("🔍 步骤1: 参数验证和标准化...")
action_sequence.append(create_action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬"))
action_sequence.append(create_action_log(f"分离目的: {purpose}", "🧪"))
action_sequence.append(create_action_log(f"产物相: {product_phase}", "📊"))
action_sequence.append(action_log(f"开始分离操作 - 容器: {vessel_id}", "🎬", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"分离目的: {purpose}", "🧪", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"产物相: {product_phase}", "📊", prefix="[SEPARATE]"))
# 统一容器参数 - 支持字典和字符串
def extract_vessel_id(vessel_param):
if isinstance(vessel_param, dict):
return vessel_param.get("id", "")
elif isinstance(vessel_param, str):
return vessel_param
else:
return ""
final_vessel_id = vessel_id
final_vessel_id, _ = vessel_id
final_to_vessel_id, _ = get_vessel(to_vessel) or get_vessel(product_vessel)
final_waste_vessel_id, _ = get_vessel(waste_phase_to_vessel) or get_vessel(waste_vessel)
to_vessel_result = get_vessel(to_vessel) if to_vessel else None
if to_vessel_result is None or to_vessel_result[0] == "":
to_vessel_result = get_vessel(product_vessel) if product_vessel else None
final_to_vessel_id = to_vessel_result[0] if to_vessel_result else ""
waste_vessel_result = get_vessel(waste_phase_to_vessel) if waste_phase_to_vessel else None
if waste_vessel_result is None or waste_vessel_result[0] == "":
waste_vessel_result = get_vessel(waste_vessel) if waste_vessel else None
final_waste_vessel_id = waste_vessel_result[0] if waste_vessel_result else ""
# 统一体积参数
final_volume = parse_volume_input(volume or solvent_volume)
@@ -141,16 +99,12 @@ def generate_separate_protocol(
repeats = 1
debug_print(f"⚠️ 重复次数参数 <= 0自动设置为 1")
debug_print(f"🔧 标准化后的参数:")
debug_print(f" 🥼 分离容器: '{final_vessel_id}'")
debug_print(f" 🎯 产物容器: '{final_to_vessel_id}'")
debug_print(f" 🗑️ 废液容器: '{final_waste_vessel_id}'")
debug_print(f" 📏 溶剂体积: {final_volume}mL")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f"标准化参数: vessel={final_vessel_id}, to={final_to_vessel_id}, "
f"waste={final_waste_vessel_id}, volume={final_volume}mL, repeats={repeats}")
action_sequence.append(create_action_log(f"分离容器: {final_vessel_id}", "🧪"))
action_sequence.append(create_action_log(f"溶剂体积: {final_volume}mL", "📏"))
action_sequence.append(create_action_log(f"重复次数: {repeats}", "🔄"))
action_sequence.append(action_log(f"分离容器: {final_vessel_id}", "🧪", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"溶剂体积: {final_volume}mL", "📏", prefix="[SEPARATE]"))
action_sequence.append(action_log(f"重复次数: {repeats}", "🔄", prefix="[SEPARATE]"))
# 验证必需参数
if not purpose:
@@ -160,72 +114,68 @@ def generate_separate_protocol(
if purpose not in ["wash", "extract", "separate"]:
debug_print(f"⚠️ 未知的分离目的 '{purpose}',使用默认值 'separate'")
purpose = "separate"
action_sequence.append(create_action_log(f"未知目的,使用: {purpose}", "⚠️"))
action_sequence.append(action_log(f"未知目的,使用: {purpose}", "⚠️", prefix="[SEPARATE]"))
if product_phase not in ["top", "bottom"]:
debug_print(f"⚠️ 未知的产物相 '{product_phase}',使用默认值 'top'")
product_phase = "top"
action_sequence.append(create_action_log(f"未知相别,使用: {product_phase}", "⚠️"))
action_sequence.append(action_log(f"未知相别,使用: {product_phase}", "⚠️", prefix="[SEPARATE]"))
debug_print("参数验证通过")
action_sequence.append(create_action_log("参数验证通过", ""))
action_sequence.append(action_log("参数验证通过", "", prefix="[SEPARATE]"))
# === 查找设备 ===
debug_print("🔍 步骤2: 查找设备...")
action_sequence.append(create_action_log("正在查找相关设备...", "🔍"))
action_sequence.append(action_log("正在查找相关设备...", "🔍", prefix="[SEPARATE]"))
# 查找分离器设备
separator_device = find_separator_device(G, final_vessel_id) # 🔧 使用 final_vessel_id
separator_device = find_separator_device(G, final_vessel_id)
if separator_device:
action_sequence.append(create_action_log(f"找到分离器设备: {separator_device}", "🧪"))
action_sequence.append(action_log(f"找到分离器设备: {separator_device}", "🧪", prefix="[SEPARATE]"))
else:
debug_print("⚠️ 未找到分离器设备,可能无法执行分离")
action_sequence.append(create_action_log("未找到分离器设备", "⚠️"))
action_sequence.append(action_log("未找到分离器设备", "⚠️", prefix="[SEPARATE]"))
# 查找搅拌器
stirrer_device = find_connected_stirrer(G, final_vessel_id) # 🔧 使用 final_vessel_id
stirrer_device = find_connected_stirrer(G, final_vessel_id)
if stirrer_device:
action_sequence.append(create_action_log(f"找到搅拌器: {stirrer_device}", "🌪️"))
action_sequence.append(action_log(f"找到搅拌器: {stirrer_device}", "🌪️", prefix="[SEPARATE]"))
else:
action_sequence.append(create_action_log("未找到搅拌器", "⚠️"))
action_sequence.append(action_log("未找到搅拌器", "⚠️", prefix="[SEPARATE]"))
# 查找溶剂容器(如果需要)
solvent_vessel = ""
if solvent and solvent.strip():
solvent_vessel = find_solvent_vessel(G, solvent)
try:
solvent_vessel = find_solvent_vessel(G, solvent)
except ValueError:
solvent_vessel = ""
if solvent_vessel:
action_sequence.append(create_action_log(f"找到溶剂容器: {solvent_vessel}", "💧"))
action_sequence.append(action_log(f"找到溶剂容器: {solvent_vessel}", "💧", prefix="[SEPARATE]"))
else:
action_sequence.append(create_action_log(f"未找到溶剂容器: {solvent}", "⚠️"))
action_sequence.append(action_log(f"未找到溶剂容器: {solvent}", "⚠️", prefix="[SEPARATE]"))
debug_print(f"📊 设备配置:")
debug_print(f" 🧪 分离器设备: '{separator_device}'")
debug_print(f" 🌪️ 搅拌器设备: '{stirrer_device}'")
debug_print(f" 💧 溶剂容器: '{solvent_vessel}'")
debug_print(f"设备配置: separator={separator_device}, stirrer={stirrer_device}, solvent_vessel={solvent_vessel}")
# === 执行分离流程 ===
debug_print("🔍 步骤3: 执行分离流程...")
action_sequence.append(create_action_log("开始分离工作流程", "🎯"))
action_sequence.append(action_log("开始分离工作流程", "🎯", prefix="[SEPARATE]"))
# 🔧 新增:体积变化跟踪变量
# 体积变化跟踪变量
current_volume = original_liquid_volume
try:
for repeat_idx in range(repeats):
cycle_num = repeat_idx + 1
debug_print(f"🔄 第{cycle_num}轮: 开始分离循环 {cycle_num}/{repeats}")
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄"))
debug_print(f"分离循环 {cycle_num}/{repeats} 开始")
action_sequence.append(action_log(f"分离循环 {cycle_num}/{repeats} 开始", "🔄", prefix="[SEPARATE]"))
# 步骤3.1: 添加溶剂(如果需要)
if solvent_vessel and final_volume > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 添加溶剂 {solvent} ({final_volume}mL)")
action_sequence.append(create_action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧"))
action_sequence.append(action_log(f"向分离容器添加 {final_volume}mL {solvent}", "💧", prefix="[SEPARATE]"))
try:
# 使用pump protocol添加溶剂
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_vessel,
to_vessel=final_vessel_id, # 🔧 使用 final_vessel_id
to_vessel=final_vessel_id,
volume=final_volume,
amount="",
time=0.0,
@@ -242,30 +192,27 @@ def generate_separate_protocol(
**kwargs
)
action_sequence.extend(pump_actions)
debug_print(f"✅ 溶剂添加完成,添加了 {len(pump_actions)} 个动作")
action_sequence.append(create_action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", ""))
action_sequence.append(action_log(f"溶剂转移完成 ({len(pump_actions)} 个操作)", "", prefix="[SEPARATE]"))
# 🔧 新增:更新体积 - 添加溶剂后
# 更新体积 - 添加溶剂后
current_volume += final_volume
update_vessel_volume(vessel, G, current_volume, f"添加{final_volume}mL {solvent}")
except Exception as e:
debug_print(f"❌ 溶剂添加失败: {str(e)}")
action_sequence.append(create_action_log(f"溶剂添加失败: {str(e)}", ""))
action_sequence.append(action_log(f"溶剂添加失败: {str(e)}", "", prefix="[SEPARATE]"))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤1: 无需添加溶剂")
action_sequence.append(create_action_log("无需添加溶剂", "⏭️"))
action_sequence.append(action_log("无需添加溶剂", "⏭️", prefix="[SEPARATE]"))
# 步骤3.2: 启动搅拌(如果有搅拌器)
if stirrer_device and stir_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 开始搅拌 ({stir_speed}rpm持续 {stir_time}s)")
action_sequence.append(create_action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️"))
action_sequence.append(action_log(f"开始搅拌: {stir_speed}rpm持续 {stir_time}s", "🌪️", prefix="[SEPARATE]"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "start_stir",
"action_kwargs": {
"vessel": {"id": final_vessel_id}, # 🔧 使用 final_vessel_id
"vessel": {"id": final_vessel_id},
"stir_speed": stir_speed,
"purpose": f"分离混合 - {purpose}"
}
@@ -273,43 +220,37 @@ def generate_separate_protocol(
# 搅拌等待
stir_minutes = stir_time / 60
action_sequence.append(create_action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️"))
action_sequence.append(action_log(f"搅拌中,持续 {stir_minutes:.1f} 分钟", "⏱️", prefix="[SEPARATE]"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": stir_time}
})
# 停止搅拌
action_sequence.append(create_action_log("停止搅拌器", "🛑"))
action_sequence.append(action_log("停止搅拌器", "🛑", prefix="[SEPARATE]"))
action_sequence.append({
"device_id": stirrer_device,
"action_name": "stop_stir",
"action_kwargs": {"vessel": final_vessel_id} # 🔧 使用 final_vessel_id
"action_kwargs": {"vessel": final_vessel_id}
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤2: 无需搅拌")
action_sequence.append(create_action_log("无需搅拌", "⏭️"))
action_sequence.append(action_log("无需搅拌", "⏭️", prefix="[SEPARATE]"))
# 步骤3.3: 静置分层
if settling_time > 0:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 静置分层 ({settling_time}s)")
settling_minutes = settling_time / 60
action_sequence.append(create_action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️"))
action_sequence.append(action_log(f"静置分层 ({settling_minutes:.1f} 分钟)", "⚖️", prefix="[SEPARATE]"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": settling_time}
})
else:
debug_print(f"🔄 第{cycle_num}轮 步骤3: 未指定静置时间")
action_sequence.append(create_action_log("未指定静置时间", "⏭️"))
action_sequence.append(action_log("未指定静置时间", "⏭️", prefix="[SEPARATE]"))
# 步骤3.4: 执行分离操作
if separator_device:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 执行分离操作")
action_sequence.append(create_action_log(f"执行分离: 收集{product_phase}", "🧪"))
# 🔧 替换为具体的分离操作逻辑基于old版本
action_sequence.append(action_log(f"执行分离: 收集{product_phase}", "🧪", prefix="[SEPARATE]"))
# 首先进行分液判断(电导突跃)
action_sequence.append({
@@ -324,11 +265,10 @@ def generate_separate_protocol(
phase_volume = current_volume / 2
# 智能查找分离容器底部
separation_vessel_bottom = find_separation_vessel_bottom(G, final_vessel_id) # ✅
separation_vessel_bottom = find_separation_vessel_bottom(G, final_vessel_id)
if product_phase == "bottom":
debug_print(f"🔄 收集底相产物{final_to_vessel_id}")
action_sequence.append(create_action_log("收集底相产物", "📦"))
action_sequence.append(action_log("收集底相产物", "📦", prefix="[SEPARATE]"))
# 产物转移到目标瓶
if final_to_vessel_id:
@@ -364,8 +304,7 @@ def generate_separate_protocol(
action_sequence.extend(pump_actions)
elif product_phase == "top":
debug_print(f"🔄 收集上相产物{final_to_vessel_id}")
action_sequence.append(create_action_log("收集上相产物", "📦"))
action_sequence.append(action_log("收集上相产物", "📦", prefix="[SEPARATE]"))
# 弃去下面那一相进废液
if final_waste_vessel_id:
@@ -400,10 +339,9 @@ def generate_separate_protocol(
)
action_sequence.extend(pump_actions)
debug_print(f"分离操作完成")
action_sequence.append(create_action_log("分离操作完成", ""))
action_sequence.append(action_log("分离操作完成", "", prefix="[SEPARATE]"))
# 🔧 新增:分离后体积估算
# 分离后体积估算
separated_volume = phase_volume * 0.95 # 假设5%损失,只保留产物相体积
update_vessel_volume(vessel, G, separated_volume, f"分离操作后(第{cycle_num}轮)")
current_volume = separated_volume
@@ -411,23 +349,21 @@ def generate_separate_protocol(
# 收集结果
if final_to_vessel_id:
action_sequence.append(
create_action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦"))
action_log(f"产物 ({product_phase}相) 收集到: {final_to_vessel_id}", "📦", prefix="[SEPARATE]"))
if final_waste_vessel_id:
action_sequence.append(create_action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️"))
action_sequence.append(action_log(f"废相收集到: {final_waste_vessel_id}", "🗑️", prefix="[SEPARATE]"))
else:
debug_print(f"🔄 第{cycle_num}轮 步骤4: 无分离器设备,跳过分离")
action_sequence.append(create_action_log("无分离器设备可用", ""))
action_sequence.append(action_log("无分离器设备可用", "", prefix="[SEPARATE]"))
# 添加等待时间模拟分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 10.0}
})
# 🔧 新增:如果不是最后一次,从中转瓶转移回分液漏斗基于old版本逻辑
# 如果不是最后一次,从中转瓶转移回分液漏斗
if repeat_idx < repeats - 1 and final_to_vessel_id and final_to_vessel_id != final_vessel_id:
debug_print(f"🔄 第{cycle_num}轮: 产物转回分离容器准备下一轮")
action_sequence.append(create_action_log("产物转回分离容器,准备下一轮", "🔄"))
action_sequence.append(action_log("产物转回分离容器准备下一轮", "🔄", prefix="[SEPARATE]"))
pump_actions = generate_pump_protocol_with_rinsing(
G=G,
@@ -444,368 +380,85 @@ def generate_separate_protocol(
# 循环间等待(除了最后一次)
if repeat_idx < repeats - 1:
debug_print(f"🔄 第{cycle_num}轮: 等待下一次循环...")
action_sequence.append(create_action_log("等待下一次循环...", ""))
action_sequence.append(action_log("等待下一次循环...", "", prefix="[SEPARATE]"))
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 5}
})
else:
action_sequence.append(create_action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟"))
action_sequence.append(action_log(f"分离循环 {cycle_num}/{repeats} 完成", "🌟", prefix="[SEPARATE]"))
except Exception as e:
debug_print(f"❌ 分离工作流程执行失败: {str(e)}")
action_sequence.append(create_action_log(f"分离工作流程失败: {str(e)}", ""))
action_sequence.append(action_log(f"分离工作流程失败: {str(e)}", "", prefix="[SEPARATE]"))
# 🔧 新增:分离完成后的最终状态报告
final_liquid_volume = get_vessel_liquid_volume(vessel)
# 分离完成后的最终状态报告
final_liquid_volume = get_resource_liquid_volume(vessel)
# === 最终结果 ===
total_time = (stir_time + settling_time + 15) * repeats # 估算总时间
debug_print("🌀" * 20)
debug_print(f"🎉 分离协议生成完成")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" ⏱️ 预计总时间: {total_time:.0f}s ({total_time / 60:.1f} 分钟)")
debug_print(f" 🥼 分离容器: {final_vessel_id}")
debug_print(f" 🎯 分离目的: {purpose}")
debug_print(f" 📊 产物相: {product_phase}")
debug_print(f" 🔄 重复次数: {repeats}")
debug_print(f"💧 体积变化统计:")
debug_print(f" - 分离前体积: {original_liquid_volume:.2f}mL")
debug_print(f" - 分离后体积: {final_liquid_volume:.2f}mL")
if solvent:
debug_print(f" 💧 溶剂: {solvent} ({final_volume}mL × {repeats}轮 = {final_volume * repeats:.2f}mL)")
if final_to_vessel_id:
debug_print(f" 🎯 产物容器: {final_to_vessel_id}")
if final_waste_vessel_id:
debug_print(f" 🗑️ 废液容器: {final_waste_vessel_id}")
debug_print("🌀" * 20)
debug_print(f"分离协议生成完成: {len(action_sequence)} 个动作, "
f"预计 {total_time:.0f}s, 体积 {original_liquid_volume:.2f}{final_liquid_volume:.2f}mL")
# 添加完成日志
summary_msg = f"分离协议完成: {final_vessel_id} ({purpose}{repeats} 次循环)"
if solvent:
summary_msg += f",使用 {final_volume * repeats:.2f}mL {solvent}"
action_sequence.append(create_action_log(summary_msg, "🎉"))
action_sequence.append(action_log(summary_msg, "🎉", prefix="[SEPARATE]"))
return action_sequence
def parse_volume_input(volume_input: Union[str, float]) -> float:
"""
解析体积输入,支持带单位的字符串
Args:
volume_input: 体积输入(如 "200 mL", "?", 50.0
Returns:
float: 体积(毫升)
"""
if isinstance(volume_input, (int, float)):
debug_print(f"📏 体积输入为数值: {volume_input}")
return float(volume_input)
if not volume_input or not str(volume_input).strip():
debug_print(f"⚠️ 体积输入为空,返回 0.0mL")
return 0.0
volume_str = str(volume_input).lower().strip()
debug_print(f"🔍 解析体积输入: '{volume_str}'")
# 处理未知体积
if volume_str in ['?', 'unknown', 'tbd', 'to be determined', '未知', '待定']:
default_volume = 100.0 # 默认100mL
debug_print(f"❓ 检测到未知体积,使用默认值: {default_volume}mL")
return default_volume
# 移除空格并提取数字和单位
volume_clean = re.sub(r'\s+', '', volume_str)
# 匹配数字和单位的正则表达式
match = re.match(r'([0-9]*\.?[0-9]+)\s*(ml|l|μl|ul|microliter|milliliter|liter|毫升|升|微升)?', volume_clean)
if not match:
debug_print(f"⚠️ 无法解析体积: '{volume_str}',使用默认值 100mL")
return 100.0
value = float(match.group(1))
unit = match.group(2) or 'ml' # 默认单位为毫升
# 转换为毫升
if unit in ['l', 'liter', '']:
volume = value * 1000.0 # L -> mL
debug_print(f"🔄 体积转换: {value}L -> {volume}mL")
elif unit in ['μl', 'ul', 'microliter', '微升']:
volume = value / 1000.0 # μL -> mL
debug_print(f"🔄 体积转换: {value}μL -> {volume}mL")
else: # ml, milliliter, 毫升 或默认
volume = value # 已经是mL
debug_print(f"✅ 体积已为毫升单位: {volume}mL")
return volume
def find_solvent_vessel(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂容器,支持多种匹配模式"""
if not solvent or not solvent.strip():
debug_print("⏭️ 未指定溶剂,跳过溶剂容器查找")
return ""
debug_print(f"🔍 正在查找溶剂 '{solvent}' 的容器...")
# 🔧 方法1直接搜索 data.reagent_name 和 config.reagent
debug_print(f"📋 方法1: 搜索试剂字段...")
for node in G.nodes():
node_data = G.nodes[node].get('data', {})
node_type = G.nodes[node].get('type', '')
config_data = G.nodes[node].get('config', {})
# 只搜索容器类型的节点
if node_type == 'container':
reagent_name = node_data.get('reagent_name', '').lower()
config_reagent = config_data.get('reagent', '').lower()
# 精确匹配
if reagent_name == solvent.lower() or config_reagent == solvent.lower():
debug_print(f"✅ 通过试剂字段精确匹配找到容器: {node}")
return node
# 模糊匹配
if (solvent.lower() in reagent_name and reagent_name) or \
(solvent.lower() in config_reagent and config_reagent):
debug_print(f"✅ 通过试剂字段模糊匹配找到容器: {node}")
return node
# 🔧 方法2常见的容器命名规则
debug_print(f"📋 方法2: 使用命名规则...")
solvent_clean = solvent.lower().replace(' ', '_').replace('-', '_')
possible_names = [
f"flask_{solvent_clean}",
f"bottle_{solvent_clean}",
f"vessel_{solvent_clean}",
f"{solvent_clean}_flask",
f"{solvent_clean}_bottle",
f"solvent_{solvent_clean}",
f"reagent_{solvent_clean}",
f"reagent_bottle_{solvent_clean}",
f"reagent_bottle_1", # 通用试剂瓶
f"reagent_bottle_2",
f"reagent_bottle_3"
]
debug_print(f"🎯 尝试的容器名称: {possible_names[:5]}... (共 {len(possible_names)} 个)")
for name in possible_names:
if name in G.nodes():
node_type = G.nodes[name].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到容器: {name}")
return name
# 🔧 方法3使用第一个试剂瓶作为备选
debug_print(f"📋 方法3: 查找备用试剂瓶...")
for node_id in G.nodes():
node_data = G.nodes[node_id]
if (node_data.get('type') == 'container' and
('reagent' in node_id.lower() or 'bottle' in node_id.lower())):
debug_print(f"⚠️ 未找到专用容器,使用备用容器: {node_id}")
return node_id
debug_print(f"❌ 无法找到溶剂 '{solvent}' 的容器")
return ""
def find_separator_device(G: nx.DiGraph, vessel: str) -> str:
"""查找分离器设备,支持多种查找方式"""
debug_print(f"🔍 正在查找容器 '{vessel}' 的分离器设备...")
# 方法1查找连接到容器的分离器设备
debug_print(f"📋 方法1: 检查连接的分离器...")
separator_nodes = []
for node in G.nodes():
node_class = G.nodes[node].get('class', '').lower()
if 'separator' in node_class:
separator_nodes.append(node)
debug_print(f"📋 发现分离器设备: {node}")
# 检查是否连接到目标容器
if G.has_edge(node, vessel) or G.has_edge(vessel, node):
debug_print(f"✅ 找到连接的分离器: {node}")
return node
debug_print(f"📊 找到的分离器总数: {len(separator_nodes)}")
# 方法2根据命名规则查找
debug_print(f"📋 方法2: 使用命名规则...")
possible_names = [
f"{vessel}_controller",
f"{vessel}_separator",
vessel, # 容器本身可能就是分离器
"separator_1",
"virtual_separator",
"liquid_handler_1", # 液体处理器也可能用于分离
"liquid_handler_1",
"controller_1"
]
debug_print(f"🎯 尝试的分离器名称: {possible_names}")
for name in possible_names:
if name in G.nodes():
node_class = G.nodes[name].get('class', '').lower()
if 'separator' in node_class or 'controller' in node_class:
debug_print(f"✅ 通过命名规则找到分离器: {name}")
return name
# 方法3查找第一个分离器设备
debug_print(f"📋 方法3: 使用第一个可用分离器...")
# 方法3使用第一个可用分离器
if separator_nodes:
debug_print(f"⚠️ 使用第一个分离器设备: {separator_nodes[0]}")
return separator_nodes[0]
debug_print(f"❌ 未找到分离器设备")
return ""
def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
"""查找连接到指定容器的搅拌器"""
debug_print(f"🔍 正在查找与容器 {vessel} 连接的搅拌器...")
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'stirrer' in node_class.lower():
stirrer_nodes.append(node)
debug_print(f"📋 发现搅拌器: {node}")
debug_print(f"📊 找到的搅拌器总数: {len(stirrer_nodes)}")
# 检查哪个搅拌器与目标容器相连
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 找到连接的搅拌器: {stirrer}")
return stirrer
# 如果没有连接的搅拌器,返回第一个可用的
if stirrer_nodes:
debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个可用的: {stirrer_nodes[0]}")
return stirrer_nodes[0]
debug_print("❌ 未找到搅拌器")
return ""
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 50.0mL")
return 50.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def find_separation_vessel_bottom(G: nx.DiGraph, vessel_id: str) -> str:
"""
智能查找分离容器的底部容器假设为flask或vessel类型
Args:
G: 网络图
vessel_id: 分离容器ID
Returns:
str: 底部容器ID
"""
debug_print(f"🔍 查找分离容器 {vessel_id} 的底部容器...")
# 方法1根据命名规则推测
possible_bottoms = [
f"{vessel_id}_bottom",
@@ -814,32 +467,25 @@ def find_separation_vessel_bottom(G: nx.DiGraph, vessel_id: str) -> str:
f"{vessel_id}_flask",
f"{vessel_id}_vessel"
]
debug_print(f"📋 尝试的底部容器名称: {possible_bottoms}")
for bottom_id in possible_bottoms:
if bottom_id in G.nodes():
node_type = G.nodes[bottom_id].get('type', '')
if node_type == 'container':
debug_print(f"✅ 通过命名规则找到底部容器: {bottom_id}")
return bottom_id
# 方法2查找与分离器相连的容器(假设底部容器会与分离器相连)
debug_print(f"📋 方法2: 查找连接的容器...")
# 方法2查找与分离器相连的容器
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'separator' in node_class.lower():
# 检查分离器的输入端
if G.has_edge(node, vessel_id):
for neighbor in G.neighbors(node):
if neighbor != vessel_id:
neighbor_type = G.nodes[neighbor].get('type', '')
if neighbor_type == 'container':
debug_print(f"✅ 通过连接找到底部容器: {neighbor}")
return neighbor
debug_print(f"❌ 无法找到分离容器 {vessel_id} 的底部容器")
return ""

View File

@@ -1,116 +1,40 @@
from typing import List, Dict, Any, Union
import networkx as nx
import logging
import re
from .utils.unit_parser import parse_time_input
from .utils.resource_helper import get_resource_id, get_resource_display_info
from .utils.logger_util import debug_print
from .utils.vessel_parser import find_connected_stirrer
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[STIR] {message}")
def find_connected_stirrer(G: nx.DiGraph, vessel: str = None) -> str:
"""查找与指定容器相连的搅拌设备"""
debug_print(f"🔍 查找搅拌设备,目标容器: {vessel} 🥽")
# 🔧 查找所有搅拌设备
stirrer_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
if 'stirrer' in node_class.lower() or 'virtual_stirrer' in node_class:
stirrer_nodes.append(node)
debug_print(f"🎉 找到搅拌设备: {node} 🌪️")
# 🔗 检查连接
if vessel and stirrer_nodes:
for stirrer in stirrer_nodes:
if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
debug_print(f"✅ 搅拌设备 '{stirrer}' 与容器 '{vessel}' 相连 🔗")
return stirrer
# 🎯 使用第一个可用设备
if stirrer_nodes:
selected = stirrer_nodes[0]
debug_print(f"🔧 使用第一个搅拌设备: {selected} 🌪️")
return selected
# 🆘 默认设备
debug_print("⚠️ 未找到搅拌设备,使用默认设备 🌪️")
return "stirrer_1"
def validate_and_fix_params(stir_time: float, stir_speed: float, settling_time: float) -> tuple:
"""验证和修正参数"""
# ⏰ 搅拌时间验证
if stir_time < 0:
debug_print(f"⚠️ 搅拌时间 {stir_time}s 无效,修正为 100s 🕐")
debug_print(f"搅拌时间 {stir_time}s 无效,修正为 100s")
stir_time = 100.0
elif stir_time > 100: # 限制为100s
debug_print(f"⚠️ 搅拌时间 {stir_time}s 过长,仿真运行时修正为 100s 🕐")
debug_print(f"搅拌时间 {stir_time}s 过长,仿真运行时修正为 100s")
stir_time = 100.0
else:
debug_print(f"✅ 搅拌时间 {stir_time}s ({stir_time/60:.1f}分钟) 有效 ⏰")
# 🌪️ 搅拌速度验证
if stir_speed < 10.0 or stir_speed > 1500.0:
debug_print(f"⚠️ 搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM 🌪️")
debug_print(f"搅拌速度 {stir_speed} RPM 超出范围,修正为 300 RPM")
stir_speed = 300.0
else:
debug_print(f"✅ 搅拌速度 {stir_speed} RPM 在正常范围内 🌪️")
# ⏱️ 沉降时间验证
if settling_time < 0 or settling_time > 600: # 限制为10分钟
debug_print(f"⚠️ 沉降时间 {settling_time}s 超出范围,修正为 60s ⏱️")
debug_print(f"沉降时间 {settling_time}s 超出范围,修正为 60s")
settling_time = 60.0
else:
debug_print(f"✅ 沉降时间 {settling_time}s 在正常范围内 ⏱️")
return stir_time, stir_speed, settling_time
def extract_vessel_id(vessel: Union[str, dict]) -> str:
"""
从vessel参数中提取vessel_id
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: vessel_id
"""
if isinstance(vessel, dict):
vessel_id = list(vessel.values())[0].get("id", "")
debug_print(f"🔧 从vessel字典提取ID: {vessel_id}")
return vessel_id
elif isinstance(vessel, str):
debug_print(f"🔧 vessel参数为字符串: {vessel}")
return vessel
else:
debug_print(f"⚠️ 无效的vessel参数类型: {type(vessel)}")
return ""
def extract_vessel_id(vessel) -> str:
"""从vessel参数中提取vessel_id兼容 str / dict / ResourceDictInstance"""
return get_resource_id(vessel)
def get_vessel_display_info(vessel: Union[str, dict]) -> str:
"""
获取容器的显示信息(用于日志)
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: 显示信息
"""
if isinstance(vessel, dict):
vessel_id = vessel.get("id", "unknown")
vessel_name = vessel.get("name", "")
if vessel_name:
return f"{vessel_id} ({vessel_name})"
else:
return vessel_id
else:
return str(vessel)
def get_vessel_display_info(vessel) -> str:
"""获取容器的显示信息(用于日志),兼容 str / dict / ResourceDictInstance"""
return get_resource_display_info(vessel)
def generate_stir_protocol(
G: nx.DiGraph,
@@ -125,16 +49,13 @@ def generate_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
# 确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
vessel_resource = vessel
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -150,91 +71,60 @@ def generate_stir_protocol(
"sample_id": "",
"type": ""
}
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🌪️" * 20)
debug_print("🚀 开始生成搅拌协议支持vessel字典")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🕐 stir_time: {stir_time}")
debug_print(f" 🎯 time_spec: {time_spec}")
debug_print(f" 🌪️ stir_speed: {stir_speed} RPM")
debug_print(f" ⏱️ settling_time: {settling_time}")
debug_print("🌪️" * 20)
# 📋 参数验证
debug_print("📍 步骤1: 参数验证... 🔧")
if not vessel_id: # 🔧 使用 vessel_id
debug_print("❌ vessel 参数不能为空! 😱")
# 参数验证
if not vessel_id:
raise ValueError("vessel 参数不能为空")
if vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print(f"❌ 容器 '{vessel_id}' 不存在于系统中! 😞")
if vessel_id not in G.nodes():
raise ValueError(f"容器 '{vessel_id}' 不存在于系统中")
debug_print("✅ 基础参数验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤2: 参数解析... ⚡")
# 确定实际时间优先级time_spec > stir_time > time
# 参数解析 — 确定实际时间优先级time_spec > stir_time > time
if time_spec:
parsed_time = parse_time_input(time_spec)
debug_print(f"🎯 使用time_spec: '{time_spec}'{parsed_time}s")
elif stir_time not in ["0", 0, 0.0]:
parsed_time = parse_time_input(stir_time)
debug_print(f"🎯 使用stir_time: {stir_time}{parsed_time}s")
else:
parsed_time = parse_time_input(time)
debug_print(f"🎯 使用time: {time}{parsed_time}s")
# 解析沉降时间
parsed_settling_time = parse_time_input(settling_time)
# 🕐 模拟运行时间优化
debug_print(" ⏱️ 检查模拟运行时间限制...")
# 模拟运行时间优化
original_stir_time = parsed_time
original_settling_time = parsed_settling_time
# 搅拌时间限制为60秒
stir_time_limit = 60.0
if parsed_time > stir_time_limit:
parsed_time = stir_time_limit
debug_print(f" 🎮 搅拌时间优化: {original_stir_time}s → {parsed_time}s ⚡")
# 沉降时间限制为30秒
settling_time_limit = 30.0
if parsed_settling_time > settling_time_limit:
parsed_settling_time = settling_time_limit
debug_print(f" 🎮 沉降时间优化: {original_settling_time}s → {parsed_settling_time}s ⚡")
# 参数修正
parsed_time, stir_speed, parsed_settling_time = validate_and_fix_params(
parsed_time, stir_speed, parsed_settling_time
)
debug_print(f"🎯 最终参数: time={parsed_time}s, speed={stir_speed}RPM, settling={parsed_settling_time}s")
# 🔍 查找设备
debug_print("📍 步骤3: 查找搅拌设备... 🔍")
debug_print(f"最终参数: time={parsed_time}s, speed={stir_speed}RPM, settling={parsed_settling_time}s")
# 查找设备
try:
stirrer_id = find_connected_stirrer(G, vessel_id) # 🔧 使用 vessel_id
debug_print(f"🎉 使用搅拌设备: {stirrer_id}")
stirrer_id = find_connected_stirrer(G, vessel_id)
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"无法找到搅拌设备: {str(e)}")
# 🚀 生成动作
debug_print("📍 步骤4: 生成搅拌动作... 🌪️")
# 生成动作
action_sequence = []
stir_action = {
"device_id": stirrer_id,
"action_name": "stir",
"action_kwargs": {
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
"vessel": {"id": vessel_id},
"time": str(time),
"event": event,
"time_spec": time_spec,
@@ -244,22 +134,14 @@ def generate_stir_protocol(
}
}
action_sequence.append(stir_action)
debug_print("✅ 搅拌动作已添加 🌪️✨")
# 显示时间优化信息
# 时间优化信息
if original_stir_time != parsed_time or original_settling_time != parsed_settling_time:
debug_print(f" 🎭 模拟优化说明:")
debug_print(f" 搅拌时间: {original_stir_time/60:.1f}分钟 → {parsed_time/60:.1f}分钟")
debug_print(f" 沉降时间: {original_settling_time/60:.1f}分钟 → {parsed_settling_time/60:.1f}分钟")
# 🎊 总结
debug_print("🎊" * 20)
debug_print(f"🎉 搅拌协议生成完成! ✨")
debug_print(f"📊 总动作数: {len(action_sequence)}")
debug_print(f"🥽 搅拌容器: {vessel_display}")
debug_print(f"🌪️ 搅拌参数: {stir_speed} RPM, {parsed_time}s, 沉降 {parsed_settling_time}s")
debug_print(f"⏱️ 预计总时间: {(parsed_time + parsed_settling_time)/60:.1f} 分钟 ⌛")
debug_print("🎊" * 20)
debug_print(f"模拟优化: 搅拌 {original_stir_time/60:.1f}min→{parsed_time/60:.1f}min, "
f"沉降 {original_settling_time/60:.1f}min→{parsed_settling_time/60:.1f}min")
debug_print(f"搅拌协议生成完成: {vessel_display}, {stir_speed}RPM, "
f"{parsed_time}s, 沉降{parsed_settling_time}s, 总{(parsed_time + parsed_settling_time)/60:.1f}min")
return action_sequence
@@ -272,16 +154,13 @@ def generate_start_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成开始搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
# 确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
vessel_resource = vessel
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -297,39 +176,29 @@ def generate_start_stir_protocol(
"sample_id": "",
"type": ""
}
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🔄 开始生成启动搅拌协议修复vessel参数")
debug_print(f"🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f"🌪️ speed: {stir_speed} RPM")
debug_print(f"🎯 purpose: {purpose}")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 参数修正
if stir_speed < 10.0 or stir_speed > 1500.0:
debug_print(f"⚠️ 搅拌速度修正: {stir_speed} → 300 RPM 🌪️")
stir_speed = 300.0
# 查找设备
stirrer_id = find_connected_stirrer(G, vessel_id)
# 🔧 关键修复传递vessel_id字符串
action_sequence = [{
"device_id": stirrer_id,
"action_name": "start_stir",
"action_kwargs": {
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
"vessel": {"id": vessel_id},
"stir_speed": stir_speed,
"purpose": purpose or f"启动搅拌 {stir_speed} RPM"
}
}]
debug_print(f"启动搅拌协议生成完成 🎯")
debug_print(f"启动搅拌协议: {vessel_display}, {stir_speed}RPM, device={stirrer_id}")
return action_sequence
def generate_stop_stir_protocol(
@@ -339,16 +208,13 @@ def generate_stop_stir_protocol(
) -> List[Dict[str, Any]]:
"""生成停止搅拌操作的协议序列 - 修复vessel参数传递"""
# 🔧 核心修改正确处理vessel参数
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 🔧 关键修复:确保vessel_resource是完整的Resource对象
# 确保vessel_resource是完整的Resource对象
if isinstance(vessel, dict):
vessel_resource = vessel # 已经是完整的Resource字典
debug_print(f"✅ 使用传入的vessel Resource对象")
vessel_resource = vessel
else:
# 如果只是字符串构建一个基本的Resource对象
vessel_resource = {
"id": vessel,
"name": "",
@@ -364,115 +230,103 @@ def generate_stop_stir_protocol(
"sample_id": "",
"type": ""
}
debug_print(f"🔧 构建了基本的vessel Resource对象: {vessel}")
debug_print("🛑 开始生成停止搅拌协议修复vessel参数")
debug_print(f"🥽 vessel: {vessel_display} (ID: {vessel_id})")
# 基础验证
if not vessel_id or vessel_id not in G.nodes():
debug_print("❌ 容器验证失败!")
raise ValueError("vessel 参数无效")
# 查找设备
stirrer_id = find_connected_stirrer(G, vessel_id)
# 🔧 关键修复传递vessel_id字符串
action_sequence = [{
"device_id": stirrer_id,
"action_name": "stop_stir",
"action_kwargs": {
# 🔧 关键修复传递vessel_id字符串而不是完整的Resource对象
"vessel": {"id": vessel_id}, # 传递字符串ID不是Resource对象
"vessel": {"id": vessel_id},
}
}]
debug_print(f"停止搅拌协议生成完成 🎯")
debug_print(f"停止搅拌协议: {vessel_display}, device={stirrer_id}")
return action_sequence
# 🔧 新增:便捷函数
# 便捷函数
def stir_briefly(G: nx.DiGraph, vessel: Union[str, dict],
speed: float = 300.0) -> List[Dict[str, Any]]:
"""短时间搅拌30秒"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"短时间搅拌: {vessel_display} @ {speed}RPM (30s)")
debug_print(f"短时间搅拌: {vessel_display} @ {speed}RPM (30s)")
return generate_stir_protocol(G, vessel, time="30", stir_speed=speed)
def stir_slowly(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "10 min") -> List[Dict[str, Any]]:
"""慢速搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🐌 慢速搅拌: {vessel_display} @ 150RPM")
debug_print(f"慢速搅拌: {vessel_display} @ 150RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=150.0)
def stir_vigorously(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "5 min") -> List[Dict[str, Any]]:
"""剧烈搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💨 剧烈搅拌: {vessel_display} @ 800RPM")
debug_print(f"剧烈搅拌: {vessel_display} @ 800RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=800.0)
def stir_for_reaction(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "1 h") -> List[Dict[str, Any]]:
"""反应搅拌(标准速度,长时间)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🧪 反应搅拌: {vessel_display} @ 400RPM")
debug_print(f"反应搅拌: {vessel_display} @ 400RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=400.0)
def stir_for_dissolution(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "15 min") -> List[Dict[str, Any]]:
"""溶解搅拌(中等速度)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💧 溶解搅拌: {vessel_display} @ 500RPM")
debug_print(f"溶解搅拌: {vessel_display} @ 500RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=500.0)
def stir_gently(G: nx.DiGraph, vessel: Union[str, dict],
time: Union[str, float] = "30 min") -> List[Dict[str, Any]]:
"""温和搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🍃 温和搅拌: {vessel_display} @ 200RPM")
debug_print(f"温和搅拌: {vessel_display} @ 200RPM")
return generate_stir_protocol(G, vessel, time=time, stir_speed=200.0)
def stir_overnight(G: nx.DiGraph, vessel: Union[str, dict]) -> List[Dict[str, Any]]:
"""过夜搅拌模拟时缩短为2小时"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🌙 过夜搅拌模拟2小时: {vessel_display} @ 300RPM")
debug_print(f"过夜搅拌模拟2小时: {vessel_display} @ 300RPM")
return generate_stir_protocol(G, vessel, time="2 h", stir_speed=300.0)
def start_continuous_stirring(G: nx.DiGraph, vessel: Union[str, dict],
speed: float = 300.0, purpose: str = "continuous stirring") -> List[Dict[str, Any]]:
"""开始连续搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🔄 开始连续搅拌: {vessel_display} @ {speed}RPM")
debug_print(f"开始连续搅拌: {vessel_display} @ {speed}RPM")
return generate_start_stir_protocol(G, vessel, stir_speed=speed, purpose=purpose)
def stop_all_stirring(G: nx.DiGraph, vessel: Union[str, dict]) -> List[Dict[str, Any]]:
"""停止所有搅拌"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🛑 停止搅拌: {vessel_display}")
debug_print(f"停止搅拌: {vessel_display}")
return generate_stop_stir_protocol(G, vessel)
# 测试函数
def test_stir_protocol():
"""测试搅拌协议"""
debug_print("🧪 === STIR PROTOCOL 测试 === ✨")
# 测试vessel参数处理
debug_print("🔧 测试vessel参数处理...")
# 测试字典格式
vessel_dict = {"id": "flask_1", "name": "反应瓶1"}
vessel_id = extract_vessel_id(vessel_dict)
vessel_display = get_vessel_display_info(vessel_dict)
debug_print(f" 字典格式: {vessel_dict} ID: {vessel_id}, 显示: {vessel_display}")
debug_print(f"字典格式: {vessel_dict} -> ID: {vessel_id}, 显示: {vessel_display}")
# 测试字符串格式
vessel_str = "flask_2"
vessel_id = extract_vessel_id(vessel_str)
vessel_display = get_vessel_display_info(vessel_str)
debug_print(f" 字符串格式: {vessel_str} ID: {vessel_id}, 显示: {vessel_display}")
debug_print("测试完成 🎉")
debug_print(f"字符串格式: {vessel_str} -> ID: {vessel_id}, 显示: {vessel_display}")
debug_print("测试完成")
if __name__ == "__main__":
test_stir_protocol()

View File

@@ -1,36 +1,57 @@
# 🆕 创建进度日志动作
"""编译器共享日志工具"""
import inspect
import logging
from typing import Dict, Any
logger = logging.getLogger(__name__)
# 模块名到前缀的映射
_MODULE_PREFIXES = {
"add_protocol": "[ADD]",
"adjustph_protocol": "[ADJUSTPH]",
"clean_vessel_protocol": "[CLEAN_VESSEL]",
"dissolve_protocol": "[DISSOLVE]",
"dry_protocol": "[DRY]",
"evacuateandrefill_protocol": "[EVACUATE]",
"evaporate_protocol": "[EVAPORATE]",
"filter_protocol": "[FILTER]",
"heatchill_protocol": "[HEATCHILL]",
"hydrogenate_protocol": "[HYDROGENATE]",
"pump_protocol": "[PUMP]",
"recrystallize_protocol": "[RECRYSTALLIZE]",
"reset_handling_protocol": "[RESET]",
"run_column_protocol": "[RUN_COLUMN]",
"separate_protocol": "[SEPARATE]",
"stir_protocol": "[STIR]",
"wash_solid_protocol": "[WASH_SOLID]",
"vessel_parser": "[VESSEL_PARSER]",
"unit_parser": "[UNIT_PARSER]",
"resource_helper": "[RESOURCE_HELPER]",
}
def debug_print(message, prefix="[UNIT_PARSER]"):
"""调试输出"""
def debug_print(message, prefix=None):
"""调试输出 — 自动根据调用模块设置前缀"""
if prefix is None:
frame = inspect.currentframe()
caller = frame.f_back if frame else None
module_name = ""
if caller:
module_name = caller.f_globals.get("__name__", "")
# 取最后一段作为模块短名
module_name = module_name.rsplit(".", 1)[-1]
prefix = _MODULE_PREFIXES.get(module_name, f"[{module_name.upper()}]")
logger = logging.getLogger("unilabos.compile")
logger.info(f"{prefix} {message}")
def action_log(message: str, emoji: str = "📝", prefix="[HIGH-LEVEL OPERATION]") -> Dict[str, Any]:
"""创建一个动作日志 - 支持中文和emoji"""
try:
full_message = f"{prefix} {emoji} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
"""创建一个动作日志"""
full_message = f"{prefix} {emoji} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": full_message,
"progress_message": full_message
}
except Exception as e:
# 如果emoji有问题使用纯文本
safe_message = f"{prefix} {message}"
return {
"action_name": "wait",
"action_kwargs": {
"time": 0.1,
"log_message": safe_message,
"progress_message": safe_message
}
}
}

View File

@@ -0,0 +1,172 @@
"""
资源实例兼容层
提供 ensure_resource_instance() 将 dict / ResourceDictInstance 统一转为
ResourceDictInstance使编译器可以渐进式迁移到强类型资源。
"""
from typing import Any, Dict, Optional, Union
from unilabos.resources.resource_tracker import ResourceDictInstance
def ensure_resource_instance(
resource: Union[Dict[str, Any], ResourceDictInstance, None],
) -> Optional[ResourceDictInstance]:
"""将 dict 或 ResourceDictInstance 统一转为 ResourceDictInstance
编译器入口统一调用此函数,即可同时兼容旧 dict 传参和新 ResourceDictInstance 传参。
Args:
resource: 资源数据,可以是 plain dict、ResourceDictInstance 或 None
Returns:
ResourceDictInstance 或 None当输入为 None 时)
"""
if resource is None:
return None
if isinstance(resource, ResourceDictInstance):
return resource
if isinstance(resource, dict):
return ResourceDictInstance.get_resource_instance_from_dict(resource)
raise TypeError(f"不支持的资源类型: {type(resource)}, 期望 dict 或 ResourceDictInstance")
def resource_to_dict(resource: Union[Dict[str, Any], ResourceDictInstance]) -> Dict[str, Any]:
"""将 ResourceDictInstance 或 dict 统一转为 plain dict
用于需要 dict 操作的场景(如 children dict 操作)。
Args:
resource: ResourceDictInstance 或 dict
Returns:
plain dict
"""
if isinstance(resource, dict):
return resource
if isinstance(resource, ResourceDictInstance):
return resource.get_plr_nested_dict()
raise TypeError(f"不支持的资源类型: {type(resource)}")
def get_resource_id(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> str:
"""从资源对象中提取 ID
Args:
resource: 字符串 ID、dict 或 ResourceDictInstance
Returns:
资源 ID 字符串
"""
if isinstance(resource, str):
return resource
if isinstance(resource, ResourceDictInstance):
return resource.res_content.id
if isinstance(resource, dict):
if "id" in resource:
return resource["id"]
# 兼容 {station_id: {...}} 格式
first_val = next(iter(resource.values()), {})
if isinstance(first_val, dict):
return first_val.get("id", "")
return ""
raise TypeError(f"不支持的资源类型: {type(resource)}")
def get_resource_data(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> Dict[str, Any]:
"""从资源对象中提取 data 字段
Args:
resource: 字符串、dict 或 ResourceDictInstance
Returns:
data 字典
"""
if isinstance(resource, str):
return {}
if isinstance(resource, ResourceDictInstance):
return dict(resource.res_content.data)
if isinstance(resource, dict):
return resource.get("data", {})
return {}
def get_resource_display_info(resource: Union[str, Dict[str, Any], ResourceDictInstance]) -> str:
"""获取资源的显示信息(用于日志)
Args:
resource: 字符串 ID、dict 或 ResourceDictInstance
Returns:
显示信息字符串
"""
if isinstance(resource, str):
return resource
if isinstance(resource, ResourceDictInstance):
res = resource.res_content
return f"{res.id} ({res.name})" if res.name and res.name != res.id else res.id
if isinstance(resource, dict):
res_id = resource.get("id", "unknown")
res_name = resource.get("name", "")
if res_name and res_name != res_id:
return f"{res_id} ({res_name})"
return res_id
return str(resource)
def get_resource_liquid_volume(resource: Union[Dict[str, Any], ResourceDictInstance]) -> float:
"""从资源中获取液体体积
Args:
resource: dict 或 ResourceDictInstance
Returns:
液体总体积 (mL)
"""
data = get_resource_data(resource)
liquids = data.get("liquid", [])
if isinstance(liquids, list):
return sum(l.get("volume", 0.0) for l in liquids if isinstance(l, dict))
return 0.0
def update_vessel_volume(vessel, G, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典或 ResourceDictInstance
G: 网络图 (nx.DiGraph)
new_volume: 新体积 (mL)
description: 更新描述(用于日志)
"""
import logging
logger = logging.getLogger("unilabos.compile")
vessel_id = get_resource_id(vessel)
if description:
logger.info(f"[RESOURCE] 更新容器体积 - {description}")
# 更新 vessel 字典中的体积
if isinstance(vessel, dict):
if "data" not in vessel:
vessel["data"] = {}
lv = vessel["data"].get("liquid_volume")
if isinstance(lv, list) and len(lv) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
# 同时更新图中的容器数据
if vessel_id and vessel_id in G.nodes():
if "data" not in G.nodes[vessel_id]:
G.nodes[vessel_id]["data"] = {}
node_lv = G.nodes[vessel_id]["data"].get("liquid_volume")
if isinstance(node_lv, list) and len(node_lv) > 0:
G.nodes[vessel_id]["data"]["liquid_volume"][0] = new_volume
else:
G.nodes[vessel_id]["data"]["liquid_volume"] = new_volume
logger.info(f"[RESOURCE] 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")

View File

@@ -184,6 +184,42 @@ def parse_time_input(time_input: Union[str, float]) -> float:
return time_sec
def parse_temperature_input(temp_input: Union[str, float], default_temp: float = 25.0) -> float:
"""
解析温度输入,支持字符串和数值
Args:
temp_input: 温度输入(如 "256 °C", "reflux", 45.0
default_temp: 默认温度
Returns:
float: 温度°C
"""
if not temp_input:
return default_temp
if isinstance(temp_input, (int, float)):
return float(temp_input)
temp_str = str(temp_input).lower().strip()
# 特殊温度关键词
special_temps = {
"room temperature": 25.0, "reflux": 78.0, "ice bath": 0.0,
"boiling": 100.0, "hot": 60.0, "warm": 40.0, "cold": 10.0,
}
if temp_str in special_temps:
return special_temps[temp_str]
# 正则解析(如 "256 °C", "45°C", "45"
match = re.search(r'(\d+(?:\.\d+)?)\s*°?[cf]?', temp_str)
if match:
return float(match.group(1))
debug_print(f"无法解析温度: '{temp_str}',使用默认值: {default_temp}°C")
return default_temp
# 测试函数
def test_unit_parser():
"""测试单位解析功能"""

View File

@@ -1,27 +1,23 @@
import networkx as nx
from .logger_util import debug_print
from .resource_helper import get_resource_id, get_resource_data
def get_vessel(vessel):
"""
统一处理vessel参数返回vessel_id和vessel_data。
支持 dict、str、ResourceDictInstance。
Args:
vessel: 可以是一个字典字符串表示vessel的ID或数据。
vessel: 可以是一个字典字符串或 ResourceDictInstance表示vessel的ID或数据。
Returns:
tuple: 包含vessel_id和vessel_data。
"""
if isinstance(vessel, dict):
if "id" not in vessel:
vessel_id = list(vessel.values())[0].get("id", "")
else:
vessel_id = vessel.get("id", "")
vessel_data = vessel.get("data", {})
else:
vessel_id = str(vessel)
vessel_data = {}
# 统一使用 resource_helper 处理
vessel_id = get_resource_id(vessel)
vessel_data = get_resource_data(vessel)
return vessel_id, vessel_data
@@ -278,4 +274,31 @@ def find_solid_dispenser(G: nx.DiGraph) -> str:
return node
debug_print(f"❌ 未找到固体加样器")
return ""
return ""
def find_connected_heatchill(G: nx.DiGraph, vessel: str) -> str:
"""查找与指定容器相连的加热/冷却设备"""
heatchill_nodes = []
for node in G.nodes():
node_data = G.nodes[node]
node_class = node_data.get('class', '') or ''
node_name = node.lower()
if ('heatchill' in node_class.lower() or 'virtual_heatchill' in node_class
or 'heater' in node_name or 'heat' in node_name):
heatchill_nodes.append(node)
# 检查连接
if vessel and heatchill_nodes:
for hc in heatchill_nodes:
if G.has_edge(hc, vessel) or G.has_edge(vessel, hc):
debug_print(f"加热设备 '{hc}' 与容器 '{vessel}' 相连")
return hc
# 使用第一个可用设备
if heatchill_nodes:
debug_print(f"使用第一个加热设备: {heatchill_nodes[0]}")
return heatchill_nodes[0]
debug_print("未找到加热设备,使用默认设备")
return "heatchill_1"

View File

@@ -4,199 +4,55 @@ import logging
import re
from .utils.unit_parser import parse_time_input, parse_volume_input
from .utils.resource_helper import get_resource_id, get_resource_display_info, get_resource_liquid_volume, update_vessel_volume
from .utils.logger_util import debug_print
logger = logging.getLogger(__name__)
def debug_print(message):
"""调试输出"""
logger.info(f"[WASH_SOLID] {message}")
def find_solvent_source(G: nx.DiGraph, solvent: str) -> str:
"""查找溶剂源(精简版)"""
debug_print(f"🔍 查找溶剂源: {solvent}")
# 简化搜索列表
"""查找溶剂源"""
search_patterns = [
f"flask_{solvent}", f"bottle_{solvent}", f"reagent_{solvent}",
"liquid_reagent_bottle_1", "flask_1", "solvent_bottle"
]
for pattern in search_patterns:
if pattern in G.nodes():
debug_print(f"🎉 找到溶剂源: {pattern}")
debug_print(f"找到溶剂源: {pattern}")
return pattern
debug_print(f"⚠️ 使用默认溶剂源: flask_{solvent}")
debug_print(f"使用默认溶剂源: flask_{solvent}")
return f"flask_{solvent}"
def find_filtrate_vessel(G: nx.DiGraph, filtrate_vessel: str = "") -> str:
"""查找滤液容器(精简版)"""
debug_print(f"🔍 查找滤液容器: {filtrate_vessel}")
# 如果指定了且存在,直接使用
"""查找滤液容器"""
if filtrate_vessel and filtrate_vessel in G.nodes():
debug_print(f"✅ 使用指定容器: {filtrate_vessel}")
return filtrate_vessel
# 简化搜索列表
default_vessels = ["waste_workup", "filtrate_vessel", "flask_1", "collection_bottle_1"]
for vessel in default_vessels:
if vessel in G.nodes():
debug_print(f"🎉 找到滤液容器: {vessel}")
debug_print(f"找到滤液容器: {vessel}")
return vessel
debug_print(f"⚠️ 使用默认滤液容器: waste_workup")
return "waste_workup"
def extract_vessel_id(vessel: Union[str, dict]) -> str:
"""
从vessel参数中提取vessel_id
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: vessel_id
"""
if isinstance(vessel, dict):
vessel_id = list(vessel.values())[0].get("id", "")
debug_print(f"🔧 从vessel字典提取ID: {vessel_id}")
return vessel_id
elif isinstance(vessel, str):
debug_print(f"🔧 vessel参数为字符串: {vessel}")
return vessel
else:
debug_print(f"⚠️ 无效的vessel参数类型: {type(vessel)}")
return ""
def extract_vessel_id(vessel) -> str:
"""从vessel参数中提取vessel_id兼容 str / dict / ResourceDictInstance"""
return get_resource_id(vessel)
def get_vessel_display_info(vessel: Union[str, dict]) -> str:
"""
获取容器的显示信息(用于日志)
Args:
vessel: vessel字典或vessel_id字符串
Returns:
str: 显示信息
"""
if isinstance(vessel, dict):
vessel_id = vessel.get("id", "unknown")
vessel_name = vessel.get("name", "")
if vessel_name:
return f"{vessel_id} ({vessel_name})"
else:
return vessel_id
else:
return str(vessel)
def get_vessel_liquid_volume(vessel: dict) -> float:
"""
获取容器中的液体体积 - 支持vessel字典
Args:
vessel: 容器字典
Returns:
float: 液体体积mL
"""
if not vessel or "data" not in vessel:
debug_print(f"⚠️ 容器数据为空,返回 0.0mL")
return 0.0
vessel_data = vessel["data"]
vessel_id = vessel.get("id", "unknown")
debug_print(f"🔍 读取容器 '{vessel_id}' 体积数据: {vessel_data}")
# 检查liquid_volume字段
if "liquid_volume" in vessel_data:
liquid_volume = vessel_data["liquid_volume"]
# 处理列表格式
if isinstance(liquid_volume, list):
if len(liquid_volume) > 0:
volume = liquid_volume[0]
if isinstance(volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (列表格式)")
return float(volume)
# 处理直接数值格式
elif isinstance(liquid_volume, (int, float)):
debug_print(f"✅ 容器 '{vessel_id}' 体积: {liquid_volume}mL (数值格式)")
return float(liquid_volume)
# 检查其他可能的体积字段
volume_keys = ['current_volume', 'total_volume', 'volume']
for key in volume_keys:
if key in vessel_data:
try:
volume = float(vessel_data[key])
if volume > 0:
debug_print(f"✅ 容器 '{vessel_id}' 体积: {volume}mL (字段: {key})")
return volume
except (ValueError, TypeError):
continue
debug_print(f"⚠️ 无法获取容器 '{vessel_id}' 的体积,返回默认值 0.0mL")
return 0.0
def update_vessel_volume(vessel: dict, G: nx.DiGraph, new_volume: float, description: str = "") -> None:
"""
更新容器体积同时更新vessel字典和图节点
Args:
vessel: 容器字典
G: 网络图
new_volume: 新体积
description: 更新描述
"""
vessel_id = vessel.get("id", "unknown")
if description:
debug_print(f"🔧 更新容器体积 - {description}")
# 更新vessel字典中的体积
if "data" in vessel:
if "liquid_volume" in vessel["data"]:
current_volume = vessel["data"]["liquid_volume"]
if isinstance(current_volume, list):
if len(current_volume) > 0:
vessel["data"]["liquid_volume"][0] = new_volume
else:
vessel["data"]["liquid_volume"] = [new_volume]
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"]["liquid_volume"] = new_volume
else:
vessel["data"] = {"liquid_volume": new_volume}
# 同时更新图中的容器数据
if vessel_id in G.nodes():
if 'data' not in G.nodes[vessel_id]:
G.nodes[vessel_id]['data'] = {}
vessel_node_data = G.nodes[vessel_id]['data']
current_node_volume = vessel_node_data.get('liquid_volume', 0.0)
if isinstance(current_node_volume, list):
if len(current_node_volume) > 0:
G.nodes[vessel_id]['data']['liquid_volume'][0] = new_volume
else:
G.nodes[vessel_id]['data']['liquid_volume'] = [new_volume]
else:
G.nodes[vessel_id]['data']['liquid_volume'] = new_volume
debug_print(f"📊 容器 '{vessel_id}' 体积已更新为: {new_volume:.2f}mL")
def get_vessel_display_info(vessel) -> str:
"""获取容器的显示信息(用于日志),兼容 str / dict / ResourceDictInstance"""
return get_resource_display_info(vessel)
def generate_wash_solid_protocol(
G: nx.DiGraph,
vessel: Union[str, dict], # 🔧 修改支持vessel字典
vessel: Union[str, dict],
solvent: str,
volume: Union[float, str] = "50",
filtrate_vessel: Union[str, dict] = "", # 🔧 修改支持vessel字典
filtrate_vessel: Union[str, dict] = "",
temp: float = 25.0,
stir: bool = False,
stir_speed: float = 0.0,
@@ -210,7 +66,7 @@ def generate_wash_solid_protocol(
) -> List[Dict[str, Any]]:
"""
生成固体清洗协议 - 支持vessel字典和体积运算
Args:
G: 有向图,节点为设备和容器,边为流体管道
vessel: 清洗容器字典从XDL传入或容器ID字符串
@@ -227,106 +83,78 @@ def generate_wash_solid_protocol(
mass: 固体质量(用于计算溶剂用量)
event: 事件描述
**kwargs: 其他可选参数
Returns:
List[Dict[str, Any]]: 固体清洗操作的动作序列
"""
# 🔧 核心修改从vessel参数中提取vessel_id
vessel_id = extract_vessel_id(vessel)
vessel_display = get_vessel_display_info(vessel)
# 🔧 处理filtrate_vessel参数
filtrate_vessel_id = extract_vessel_id(filtrate_vessel) if filtrate_vessel else ""
debug_print("🧼" * 20)
debug_print("🚀 开始生成固体清洗协议支持vessel字典和体积运算")
debug_print(f"📝 输入参数:")
debug_print(f" 🥽 vessel: {vessel_display} (ID: {vessel_id})")
debug_print(f" 🧪 solvent: {solvent}")
debug_print(f" 💧 volume: {volume}")
debug_print(f" 🗑️ filtrate_vessel: {filtrate_vessel_id}")
debug_print(f" ⏰ time: {time}")
debug_print(f" 🔄 repeats: {repeats}")
debug_print("🧼" * 20)
# 🔧 新增:记录清洗前的容器状态
debug_print("🔍 记录清洗前容器状态...")
debug_print(f"开始生成固体清洗协议: vessel={vessel_id}, solvent={solvent}, volume={volume}, repeats={repeats}")
# 记录清洗前的容器状态
if isinstance(vessel, dict):
original_volume = get_vessel_liquid_volume(vessel)
debug_print(f"📊 清洗前液体体积: {original_volume:.2f}mL")
original_volume = get_resource_liquid_volume(vessel)
else:
original_volume = 0.0
debug_print(f"📊 vessel为字符串格式无法获取体积信息")
# 📋 快速验证
if not vessel_id or vessel_id not in G.nodes(): # 🔧 使用 vessel_id
debug_print("❌ 容器验证失败! 😱")
# 快速验证
if not vessel_id or vessel_id not in G.nodes():
raise ValueError("vessel 参数无效")
if not solvent:
debug_print("❌ 溶剂不能为空! 😱")
raise ValueError("solvent 参数不能为空")
debug_print("✅ 基础验证通过 🎯")
# 🔄 参数解析
debug_print("📍 步骤1: 参数解析... ⚡")
# 参数解析
final_volume = parse_volume_input(volume, volume_spec, mass)
final_time = parse_time_input(time)
# 重复次数处理(简化)
# 重复次数处理
if repeats_spec:
spec_map = {'few': 2, 'several': 3, 'many': 4, 'thorough': 5}
final_repeats = next((v for k, v in spec_map.items() if k in repeats_spec.lower()), repeats)
else:
final_repeats = max(1, min(repeats, 5)) # 限制1-5次
# 🕐 模拟时间优化
debug_print(" ⏱️ 模拟时间优化...")
final_repeats = max(1, min(repeats, 5))
# 模拟时间优化
original_time = final_time
if final_time > 60.0:
final_time = 60.0 # 限制最长60秒
debug_print(f" 🎮 时间优化: {original_time}s {final_time}s")
final_time = 60.0
debug_print(f"时间优化: {original_time}s -> {final_time}s")
# 参数修正
temp = max(25.0, min(temp, 80.0)) # 温度范围25-80°C
stir_speed = max(0.0, min(stir_speed, 300.0)) if stir else 0.0 # 速度范围0-300
debug_print(f"🎯 最终参数: 体积={final_volume}mL, 时间={final_time}s, 重复={final_repeats}")
# 🔍 查找设备
debug_print("📍 步骤2: 查找设备... 🔍")
temp = max(25.0, min(temp, 80.0))
stir_speed = max(0.0, min(stir_speed, 300.0)) if stir else 0.0
debug_print(f"最终参数: 体积={final_volume}mL, 时间={final_time}s, 重复={final_repeats}")
# 查找设备
try:
solvent_source = find_solvent_source(G, solvent)
actual_filtrate_vessel = find_filtrate_vessel(G, filtrate_vessel_id)
debug_print(f"🎉 设备配置完成 ✨")
debug_print(f" 🧪 溶剂源: {solvent_source}")
debug_print(f" 🗑️ 滤液容器: {actual_filtrate_vessel}")
except Exception as e:
debug_print(f"❌ 设备查找失败: {str(e)} 😭")
raise ValueError(f"设备查找失败: {str(e)}")
# 🚀 生成动作序列
debug_print("📍 步骤3: 生成清洗动作... 🧼")
# 生成动作序列
action_sequence = []
# 🔧 新增:体积变化跟踪变量
current_volume = original_volume
total_solvent_used = 0.0
for cycle in range(final_repeats):
debug_print(f" 🔄 {cycle+1}/{final_repeats}次清洗...")
debug_print(f"{cycle+1}/{final_repeats}次清洗")
# 1. 转移溶剂
try:
from .pump_protocol import generate_pump_protocol_with_rinsing
debug_print(f" 💧 添加溶剂: {final_volume}mL {solvent}")
transfer_actions = generate_pump_protocol_with_rinsing(
G=G,
from_vessel=solvent_source,
to_vessel=vessel_id, # 🔧 使用 vessel_id
to_vessel=vessel_id,
volume=final_volume,
amount="",
time=0.0,
@@ -338,211 +166,160 @@ def generate_wash_solid_protocol(
flowrate=2.5,
transfer_flowrate=0.5
)
if transfer_actions:
action_sequence.extend(transfer_actions)
debug_print(f" ✅ 转移动作: {len(transfer_actions)}个 🚚")
# 🔧 新增:更新体积 - 添加溶剂后
current_volume += final_volume
total_solvent_used += final_volume
if isinstance(vessel, dict):
update_vessel_volume(vessel, G, current_volume,
update_vessel_volume(vessel, G, current_volume,
f"{cycle+1}次清洗添加{final_volume}mL溶剂后")
except Exception as e:
debug_print(f"转移失败: {str(e)} 😞")
debug_print(f"转移失败: {str(e)}")
# 2. 搅拌(如果需要)
if stir and final_time > 0:
debug_print(f" 🌪️ 搅拌: {final_time}s @ {stir_speed}RPM")
stir_action = {
"device_id": "stirrer_1",
"action_name": "stir",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"time": str(time),
"stir_time": final_time,
"stir_speed": stir_speed,
"settling_time": 10.0 # 🕐 缩短沉降时间
"settling_time": 10.0
}
}
action_sequence.append(stir_action)
debug_print(f" ✅ 搅拌动作: {final_time}s, {stir_speed}RPM 🌪️")
# 3. 过滤
debug_print(f" 🌊 过滤到: {actual_filtrate_vessel}")
filter_action = {
"device_id": "filter_1",
"action_name": "filter",
"action_kwargs": {
"vessel": {"id": vessel_id}, # 🔧 使用 vessel_id
"vessel": {"id": vessel_id},
"filtrate_vessel": actual_filtrate_vessel,
"temp": temp,
"volume": final_volume
}
}
action_sequence.append(filter_action)
debug_print(f" ✅ 过滤动作: → {actual_filtrate_vessel} 🌊")
# 🔧 新增:更新体积 - 过滤后(液体被滤除)
# 假设滤液完全被移除,固体残留在容器中
filtered_volume = current_volume * 0.9 # 假设90%的液体被过滤掉
# 更新体积 - 过滤后
filtered_volume = current_volume * 0.9
current_volume = current_volume - filtered_volume
if isinstance(vessel, dict):
update_vessel_volume(vessel, G, current_volume,
update_vessel_volume(vessel, G, current_volume,
f"{cycle+1}次清洗过滤后")
# 4. 等待(缩短时间)
wait_time = 5.0 # 🕐 缩短等待时间10s → 5s
# 4. 等待
wait_time = 5.0
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": wait_time}
})
debug_print(f" ✅ 等待: {wait_time}s ⏰")
# 🔧 新增:清洗完成后的最终状态报告
# 最终状态
if isinstance(vessel, dict):
final_volume_vessel = get_vessel_liquid_volume(vessel)
final_volume_vessel = get_resource_liquid_volume(vessel)
else:
final_volume_vessel = current_volume
# 🎊 总结
debug_print("🧼" * 20)
debug_print(f"🎉 固体清洗协议生成完成! ✨")
debug_print(f"📊 协议统计:")
debug_print(f" 📋 总动作数: {len(action_sequence)}")
debug_print(f" 🥽 清洗容器: {vessel_display}")
debug_print(f" 🧪 使用溶剂: {solvent}")
debug_print(f" 💧 单次体积: {final_volume}mL")
debug_print(f" 🔄 清洗次数: {final_repeats}")
debug_print(f" 💧 总溶剂用量: {total_solvent_used:.2f}mL")
debug_print(f"📊 体积变化统计:")
debug_print(f" - 清洗前体积: {original_volume:.2f}mL")
debug_print(f" - 清洗后体积: {final_volume_vessel:.2f}mL")
debug_print(f" - 溶剂总用量: {total_solvent_used:.2f}mL")
debug_print(f"⏱️ 预计总时间: {(final_time + 5) * final_repeats / 60:.1f} 分钟")
debug_print("🧼" * 20)
debug_print(f"固体清洗协议生成完成: {len(action_sequence)} 个动作, {final_repeats}次清洗, 溶剂总用量={total_solvent_used:.2f}mL")
return action_sequence
# 🔧 新增:便捷函数
def wash_with_water(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "50",
# 便捷函数
def wash_with_water(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "50",
repeats: int = 2) -> List[Dict[str, Any]]:
"""用水清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💧 水洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "water", volume=volume, repeats=repeats)
def wash_with_ethanol(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "30",
def wash_with_ethanol(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "30",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用乙醇清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🍺 乙醇洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "ethanol", volume=volume, repeats=repeats)
def wash_with_acetone(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "25",
def wash_with_acetone(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "25",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用丙酮清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"💨 丙酮洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "acetone", volume=volume, repeats=repeats)
def wash_with_ether(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "40",
def wash_with_ether(G: nx.DiGraph, vessel: Union[str, dict],
volume: Union[float, str] = "40",
repeats: int = 2) -> List[Dict[str, Any]]:
"""用乙醚清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🌬️ 乙醚洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, "diethyl_ether", volume=volume, repeats=repeats)
def wash_with_cold_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "30",
def wash_with_cold_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "30",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用冷溶剂清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"❄️ 冷{solvent}洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
temp=5.0, repeats=repeats)
def wash_with_hot_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
def wash_with_hot_solvent(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
repeats: int = 1) -> List[Dict[str, Any]]:
"""用热溶剂清洗固体"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🔥 热{solvent}洗固体: {vessel_display} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
temp=60.0, repeats=repeats)
def wash_with_stirring(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
stir_time: Union[str, float] = "5 min",
def wash_with_stirring(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50",
stir_time: Union[str, float] = "5 min",
repeats: int = 1) -> List[Dict[str, Any]]:
"""带搅拌的溶剂清洗"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🌪️ 搅拌清洗: {vessel_display} with {solvent} ({repeats} 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
stir=True, stir_speed=200.0,
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume,
stir=True, stir_speed=200.0,
time=stir_time, repeats=repeats)
def thorough_wash(G: nx.DiGraph, vessel: Union[str, dict],
def thorough_wash(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "50") -> List[Dict[str, Any]]:
"""彻底清洗(多次重复)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"🔄 彻底清洗: {vessel_display} with {solvent} (5 次)")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume, repeats=5)
def quick_rinse(G: nx.DiGraph, vessel: Union[str, dict],
def quick_rinse(G: nx.DiGraph, vessel: Union[str, dict],
solvent: str, volume: Union[float, str] = "20") -> List[Dict[str, Any]]:
"""快速冲洗(单次,小体积)"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"⚡ 快速冲洗: {vessel_display} with {solvent}")
return generate_wash_solid_protocol(G, vessel, solvent, volume=volume, repeats=1)
def sequential_wash(G: nx.DiGraph, vessel: Union[str, dict],
def sequential_wash(G: nx.DiGraph, vessel: Union[str, dict],
solvents: list, volume: Union[float, str] = "40") -> List[Dict[str, Any]]:
"""连续多溶剂清洗"""
vessel_display = get_vessel_display_info(vessel)
debug_print(f"📝 连续清洗: {vessel_display} with {''.join(solvents)}")
action_sequence = []
for solvent in solvents:
wash_actions = generate_wash_solid_protocol(G, vessel, solvent,
wash_actions = generate_wash_solid_protocol(G, vessel, solvent,
volume=volume, repeats=1)
action_sequence.extend(wash_actions)
return action_sequence
# 测试函数
def test_wash_solid_protocol():
"""测试固体清洗协议"""
debug_print("🧪 === WASH SOLID PROTOCOL 测试 ===")
# 测试vessel参数处理
debug_print("🔧 测试vessel参数处理...")
# 测试字典格式
vessel_dict = {"id": "filter_flask_1", "name": "过滤瓶1",
debug_print("=== WASH SOLID PROTOCOL 测试 ===")
vessel_dict = {"id": "filter_flask_1", "name": "过滤瓶1",
"data": {"liquid_volume": 25.0}}
vessel_id = extract_vessel_id(vessel_dict)
vessel_display = get_vessel_display_info(vessel_dict)
volume = get_vessel_liquid_volume(vessel_dict)
debug_print(f" 字典格式: {vessel_dict}")
debug_print(f" → ID: {vessel_id}, 显示: {vessel_display}, 体积: {volume}mL")
# 测试字符串格式
volume = get_resource_liquid_volume(vessel_dict)
debug_print(f"字典格式: ID={vessel_id}, 显示={vessel_display}, 体积={volume}mL")
vessel_str = "filter_flask_2"
vessel_id = extract_vessel_id(vessel_str)
vessel_display = get_vessel_display_info(vessel_str)
debug_print(f" 字符串格式: {vessel_str}")
debug_print(f" → ID: {vessel_id}, 显示: {vessel_display}")
debug_print("✅ 测试完成 🎉")
debug_print(f"字符串格式: ID={vessel_id}, 显示={vessel_display}")
debug_print("测试完成")
if __name__ == "__main__":
test_wash_solid_protocol()
test_wash_solid_protocol()

View File

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

File diff suppressed because it is too large Load Diff

View File

@@ -43,7 +43,7 @@ class Base(ABC):
self._type = typ
self._data_type = data_type
self._node: Optional[Node] = None
def _get_node(self) -> Node:
if self._node is None:
try:
@@ -66,7 +66,7 @@ class Base(ABC):
# 直接以字符串形式处理
if isinstance(nid, str):
nid = nid.strip()
# 处理包含类名的格式,如 'StringNodeId(ns=4;s=...)' 或 'NumericNodeId(ns=2;i=...)'
# 提取括号内的内容
match_wrapped = re.match(r'(String|Numeric|Byte|Guid|TwoByteNode|FourByteNode)NodeId\((.*)\)', nid)
@@ -116,16 +116,16 @@ class Base(ABC):
def read(self) -> Tuple[Any, bool]:
"""读取节点值,返回(值, 是否出错)"""
pass
@abstractmethod
def write(self, value: Any) -> bool:
"""写入节点值,返回是否出错"""
pass
@property
def type(self) -> NodeType:
return self._type
@property
def node_id(self) -> str:
return self._node_id
@@ -210,15 +210,15 @@ class Method(Base):
super().__init__(client, name, node_id, NodeType.METHOD, data_type)
self._parent_node_id = parent_node_id
self._parent_node = None
def _get_parent_node(self) -> Node:
if self._parent_node is None:
try:
# 处理父节点ID使用与_get_node相同的解析逻辑
import re
nid = self._parent_node_id
# 如果已经是 NodeId 对象,直接使用
try:
from opcua.ua import NodeId as UaNodeId
@@ -227,16 +227,16 @@ class Method(Base):
return self._parent_node
except Exception:
pass
# 字符串处理
if isinstance(nid, str):
nid = nid.strip()
# 处理包含类名的格式
match_wrapped = re.match(r'(String|Numeric|Byte|Guid|TwoByteNode|FourByteNode)NodeId\((.*)\)', nid)
if match_wrapped:
nid = match_wrapped.group(2).strip()
# 常见短格式
if re.match(r'^ns=\d+;[is]=', nid):
self._parent_node = self._client.get_node(nid)
@@ -271,7 +271,7 @@ class Method(Base):
def write(self, value: Any) -> bool:
"""方法节点不支持写入操作"""
return True
def call(self, *args) -> Tuple[Any, bool]:
"""调用方法,返回(返回值, 是否出错)"""
try:
@@ -285,7 +285,7 @@ class Method(Base):
class Object(Base):
def __init__(self, client: Client, name: str, node_id: str):
super().__init__(client, name, node_id, NodeType.OBJECT, None)
def read(self) -> Tuple[Any, bool]:
"""对象节点不支持直接读取操作"""
return None, True
@@ -293,7 +293,7 @@ class Object(Base):
def write(self, value: Any) -> bool:
"""对象节点不支持直接写入操作"""
return True
def get_children(self) -> Tuple[List[Node], bool]:
"""获取子节点列表,返回(子节点列表, 是否出错)"""
try:
@@ -301,4 +301,4 @@ class Object(Base):
return children, False
except Exception as e:
print(f"获取对象 {self._name} 的子节点失败: {e}")
return [], True
return [], True

View File

@@ -201,42 +201,17 @@ class ResourceVisualization:
self.moveit_controllers_yaml['moveit_simple_controller_manager'][f"{name}_{controller_name}"] = moveit_dict['moveit_simple_controller_manager'][controller_name]
@staticmethod
def _ensure_ros2_env() -> dict:
"""确保 ROS2 环境变量正确设置,返回可用于子进程的 env dict"""
import sys
env = dict(os.environ)
conda_prefix = os.path.dirname(os.path.dirname(sys.executable))
if "AMENT_PREFIX_PATH" not in env or not env["AMENT_PREFIX_PATH"].strip():
candidate = os.pathsep.join([conda_prefix, os.path.join(conda_prefix, "Library")])
env["AMENT_PREFIX_PATH"] = candidate
os.environ["AMENT_PREFIX_PATH"] = candidate
extra_bin_dirs = [
os.path.join(conda_prefix, "Library", "bin"),
os.path.join(conda_prefix, "Library", "lib"),
os.path.join(conda_prefix, "Scripts"),
conda_prefix,
]
current_path = env.get("PATH", "")
for d in extra_bin_dirs:
if d not in current_path:
current_path = d + os.pathsep + current_path
env["PATH"] = current_path
os.environ["PATH"] = current_path
return env
def create_launch_description(self) -> LaunchDescription:
"""
创建launch描述包含robot_state_publisher和move_group节点
Args:
urdf_str: URDF文本
Returns:
LaunchDescription: launch描述对象
"""
launch_env = self._ensure_ros2_env()
# 检查ROS 2环境变量
if "AMENT_PREFIX_PATH" not in os.environ:
raise OSError(
"ROS 2环境未正确设置。需要设置 AMENT_PREFIX_PATH 环境变量。\n"
@@ -315,7 +290,7 @@ class ResourceVisualization:
{"robot_description": robot_description},
ros2_controllers,
],
env=launch_env,
env=dict(os.environ)
)
)
for controller in self.moveit_controllers_yaml['moveit_simple_controller_manager']['controller_names']:
@@ -325,7 +300,7 @@ class ResourceVisualization:
executable="spawner",
arguments=[f"{controller}", "--controller-manager", f"controller_manager"],
output="screen",
env=launch_env,
env=dict(os.environ)
)
)
controllers.append(
@@ -334,7 +309,7 @@ class ResourceVisualization:
executable="spawner",
arguments=["joint_state_broadcaster", "--controller-manager", f"controller_manager"],
output="screen",
env=launch_env,
env=dict(os.environ)
)
)
for i in controllers:
@@ -342,6 +317,7 @@ class ResourceVisualization:
else:
ros2_controllers = None
# 创建robot_state_publisher节点
robot_state_publisher = nd(
package='robot_state_publisher',
executable='robot_state_publisher',
@@ -351,8 +327,9 @@ class ResourceVisualization:
'robot_description': robot_description,
'use_sim_time': False
},
# kinematics_dict
],
env=launch_env,
env=dict(os.environ)
)
@@ -384,7 +361,7 @@ class ResourceVisualization:
executable='move_group',
output='screen',
parameters=moveit_params,
env=launch_env,
env=dict(os.environ)
)
@@ -402,11 +379,13 @@ class ResourceVisualization:
arguments=['-d', f"{str(self.mesh_path)}/view_robot.rviz"],
output='screen',
parameters=[
{'robot_description_kinematics': kinematics_dict},
{'robot_description_kinematics': kinematics_dict,
},
robot_description_planning,
planning_pipelines,
],
env=launch_env,
env=dict(os.environ)
)
self.launch_description.add_action(rviz_node)

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -1,150 +0,0 @@
from typing import Any, Dict, Optional
from .prcxi import PRCXI9300ModuleSite
class PRCXI9300FunctionalModule(PRCXI9300ModuleSite):
"""
PRCXI 9300 功能模块基类(加热/冷却/震荡/加热震荡/磁吸等)。
设计目标:
- 作为一个可以在工作台上拖拽摆放的实体资源(继承自 PRCXI9300ModuleSite -> ItemizedCarrier
- 顶面存在一个站点site可吸附标准板类资源plate / tip_rack / tube_rack 等)。
- 支持注入 `material_info` (UUID 等),并且在 serialize_state 时做安全过滤。
"""
def __init__(
self,
name: str,
size_x: float,
size_y: float,
size_z: float,
module_type: Optional[str] = None,
category: str = "module",
model: Optional[str] = None,
material_info: Optional[Dict[str, Any]] = None,
**kwargs: Any,
):
super().__init__(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
material_info=material_info,
model=model,
category=category,
**kwargs,
)
# 记录模块类型(加热 / 冷却 / 震荡 / 加热震荡 / 磁吸)
self.module_type = module_type or "generic"
# 与 PRCXI9300PlateAdapter 一致,使用 _unilabos_state 保存扩展信息
if not hasattr(self, "_unilabos_state") or self._unilabos_state is None:
self._unilabos_state = {}
# super().__init__ 已经在有 material_info 时写入 "Material",这里仅确保存在
if material_info is not None and "Material" not in self._unilabos_state:
self._unilabos_state["Material"] = material_info
# 额外标记 category 和模块类型,便于前端或上层逻辑区分
self._unilabos_state.setdefault("category", category)
self._unilabos_state["module_type"] = module_type
# ============================================================================
# 具体功能模块定义
# 这里的尺寸和 material_info 目前为占位参数,后续可根据实际测量/JSON 配置进行更新。
# 顶面站点尺寸与模块外形一致,保证可以吸附标准 96 板/储液槽等。
# ============================================================================
def PRCXI_Heating_Module(name: str) -> PRCXI9300FunctionalModule:
"""加热模块(顶面可吸附标准板)。"""
return PRCXI9300FunctionalModule(
name=name,
size_x=127.76,
size_y=85.48,
size_z=40.0,
module_type="heating",
model="PRCXI_Heating_Module",
material_info={
"uuid": "TODO-HEATING-MODULE-UUID",
"Code": "HEAT-MOD",
"Name": "PRCXI 加热模块",
"SupplyType": 3,
},
)
def PRCXI_MetalCooling_Module(name: str) -> PRCXI9300FunctionalModule:
"""金属冷却模块(顶面可吸附标准板)。"""
return PRCXI9300FunctionalModule(
name=name,
size_x=127.76,
size_y=85.48,
size_z=40.0,
module_type="metal_cooling",
model="PRCXI_MetalCooling_Module",
material_info={
"uuid": "TODO-METAL-COOLING-MODULE-UUID",
"Code": "METAL-COOL-MOD",
"Name": "PRCXI 金属冷却模块",
"SupplyType": 3,
},
)
def PRCXI_Shaking_Module(name: str) -> PRCXI9300FunctionalModule:
"""震荡模块(顶面可吸附标准板)。"""
return PRCXI9300FunctionalModule(
name=name,
size_x=127.76,
size_y=85.48,
size_z=50.0,
module_type="shaking",
model="PRCXI_Shaking_Module",
material_info={
"uuid": "TODO-SHAKING-MODULE-UUID",
"Code": "SHAKE-MOD",
"Name": "PRCXI 震荡模块",
"SupplyType": 3,
},
)
def PRCXI_Heating_Shaking_Module(name: str) -> PRCXI9300FunctionalModule:
"""加热震荡模块(顶面可吸附标准板)。"""
return PRCXI9300FunctionalModule(
name=name,
size_x=127.76,
size_y=85.48,
size_z=55.0,
module_type="heating_shaking",
model="PRCXI_Heating_Shaking_Module",
material_info={
"uuid": "TODO-HEATING-SHAKING-MODULE-UUID",
"Code": "HEAT-SHAKE-MOD",
"Name": "PRCXI 加热震荡模块",
"SupplyType": 3,
},
)
def PRCXI_Magnetic_Module(name: str) -> PRCXI9300FunctionalModule:
"""磁吸模块(顶面可吸附标准板)。"""
return PRCXI9300FunctionalModule(
name=name,
size_x=127.76,
size_y=85.48,
size_z=30.0,
module_type="magnetic",
model="PRCXI_Magnetic_Module",
material_info={
"uuid": "TODO-MAGNETIC-MODULE-UUID",
"Code": "MAG-MOD",
"Name": "PRCXI 磁吸模块",
"SupplyType": 3,
},
)

View File

@@ -59,7 +59,6 @@ class UniLiquidHandlerRvizBackend(LiquidHandlerBackend):
self.total_height = total_height
self.joint_config = kwargs.get("joint_config", None)
self.lh_device_id = kwargs.get("lh_device_id", "lh_joint_publisher")
self.simulate_rviz = kwargs.get("simulate_rviz", False)
if not rclpy.ok():
rclpy.init()
self.joint_state_publisher = None
@@ -70,7 +69,7 @@ class UniLiquidHandlerRvizBackend(LiquidHandlerBackend):
self.joint_state_publisher = LiquidHandlerJointPublisher(
joint_config=self.joint_config,
lh_device_id=self.lh_device_id,
simulate_rviz=self.simulate_rviz)
simulate_rviz=True)
# 启动ROS executor
self.executor = rclpy.executors.MultiThreadedExecutor()

View File

@@ -42,7 +42,6 @@ class LiquidHandlerJointPublisher(Node):
while self.resource_action is None:
self.resource_action = self.check_tf_update_actions()
time.sleep(1)
self.get_logger().info(f'Waiting for TfUpdate server: {self.resource_action}')
self.resource_action_client = ActionClient(self, SendCmd, self.resource_action)
while not self.resource_action_client.wait_for_server(timeout_sec=1.0):

View File

@@ -2,7 +2,6 @@ import json
import time
from copy import deepcopy
from pathlib import Path
from typing import Optional, Sequence
from moveit_msgs.msg import JointConstraint, Constraints
from rclpy.action import ActionClient
@@ -172,160 +171,173 @@ class MoveitInterface:
return True
def pick_and_place(
self,
option: str,
move_group: str,
status: str,
resource: Optional[str] = None,
x_distance: Optional[float] = None,
y_distance: Optional[float] = None,
lift_height: Optional[float] = None,
retry: Optional[int] = None,
speed: Optional[float] = None,
target: Optional[str] = None,
constraints: Optional[Sequence[float]] = None,
) -> None:
def pick_and_place(self, command: str):
"""
使用 MoveIt 完成抓取/放置等序列pick/place/side_pick/side_place
Using MoveIt to make the robotic arm pick or place materials to a target point.
必选option, move_group, status。
可选resource, x_distance, y_distance, lift_height, retry, speed, target, constraints。
无返回值;失败时提前 return 或打印异常。
Args:
command: A JSON-formatted string that includes option, target, speed, lift_height, mt_height
*option (string) : Action type: pick/place/side_pick/side_place
*move_group (string): The move group moveit will plan
*status(string) : Target pose
resource(string) : The target resource
x_distance (float) : The distance to the target in x direction(meters)
y_distance (float) : The distance to the target in y direction(meters)
lift_height (float) : The height at which the material should be lifted(meters)
retry (float) : Retry times when moveit plan fails
speed (float) : The speed of the movement, speed > 0
Returns:
None
"""
result = SendCmd.Result()
try:
if option not in self.move_option:
raise ValueError(f"Invalid option: {option}")
cmd_str = str(command).replace("'", '"')
cmd_dict = json.loads(cmd_str)
option_index = self.move_option.index(option)
place_flag = option_index % 2
if cmd_dict["option"] in self.move_option:
option_index = self.move_option.index(cmd_dict["option"])
place_flag = option_index % 2
config: dict = {"move_group": move_group}
if speed is not None:
config["speed"] = speed
if retry is not None:
config["retry"] = retry
config = {}
function_list = []
function_list = []
joint_positions_ = self.joint_poses[move_group][status]
status = cmd_dict["status"]
joint_positions_ = self.joint_poses[cmd_dict["move_group"]][status]
# 夹取 / 放置:绑定 resource 与 parent
if not place_flag:
if target is not None:
function_list.append(lambda r=resource, t=target: self.resource_manager(r, t))
else:
ee = self.moveit2[move_group].end_effector_name
function_list.append(lambda r=resource: self.resource_manager(r, ee))
else:
function_list.append(lambda r=resource: self.resource_manager(r, "world"))
config.update({k: cmd_dict[k] for k in ["speed", "retry", "move_group"] if k in cmd_dict})
joint_constraint_msgs: list = []
if constraints is not None:
for i, c in enumerate(constraints):
v = float(c)
if v > 0:
joint_constraint_msgs.append(
JointConstraint(
joint_name=self.moveit2[move_group].joint_names[i],
position=joint_positions_[i],
tolerance_above=v,
tolerance_below=v,
weight=1.0,
# 夹取
if not place_flag:
if "target" in cmd_dict.keys():
function_list.append(lambda: self.resource_manager(cmd_dict["resource"], cmd_dict["target"]))
else:
function_list.append(
lambda: self.resource_manager(
cmd_dict["resource"], self.moveit2[cmd_dict["move_group"]].end_effector_name
)
)
else:
function_list.append(lambda: self.resource_manager(cmd_dict["resource"], "world"))
if lift_height is not None:
retval = None
attempts = config.get("retry", 10)
while retval is None and attempts > 0:
retval = self.moveit2[move_group].compute_fk(joint_positions_)
time.sleep(0.1)
attempts -= 1
if retval is None:
raise ValueError("Failed to compute forward kinematics")
pose = [retval.pose.position.x, retval.pose.position.y, retval.pose.position.z]
quaternion = [
retval.pose.orientation.x,
retval.pose.orientation.y,
retval.pose.orientation.z,
retval.pose.orientation.w,
]
constraints = []
if "constraints" in cmd_dict.keys():
function_list = [
lambda: self.moveit_task(
position=[retval.pose.position.x, retval.pose.position.y, retval.pose.position.z],
quaternion=quaternion,
**config,
cartesian=self.cartesian_flag,
)
] + function_list
for i in range(len(cmd_dict["constraints"])):
v = float(cmd_dict["constraints"][i])
if v > 0:
constraints.append(
JointConstraint(
joint_name=self.moveit2[cmd_dict["move_group"]].joint_names[i],
position=joint_positions_[i],
tolerance_above=v,
tolerance_below=v,
weight=1.0,
)
)
pose[2] += float(lift_height)
function_list.append(
lambda p=pose.copy(), q=quaternion, cfg=config: self.moveit_task(
position=p, quaternion=q, **cfg, cartesian=self.cartesian_flag
)
)
end_pose = list(pose)
if x_distance is not None or y_distance is not None:
if x_distance is not None:
deep_pose = deepcopy(pose)
deep_pose[0] += float(x_distance)
elif y_distance is not None:
deep_pose = deepcopy(pose)
deep_pose[1] += float(y_distance)
if "lift_height" in cmd_dict.keys():
retval = None
retry = config.get("retry", 10)
while retval is None and retry > 0:
retval = self.moveit2[cmd_dict["move_group"]].compute_fk(joint_positions_)
time.sleep(0.1)
retry -= 1
if retval is None:
result.success = False
return result
pose = [retval.pose.position.x, retval.pose.position.y, retval.pose.position.z]
quaternion = [
retval.pose.orientation.x,
retval.pose.orientation.y,
retval.pose.orientation.z,
retval.pose.orientation.w,
]
function_list = [
lambda p=pose.copy(), q=quaternion, cfg=config: self.moveit_task(
position=p, quaternion=q, **cfg, cartesian=self.cartesian_flag
lambda: self.moveit_task(
position=[retval.pose.position.x, retval.pose.position.y, retval.pose.position.z],
quaternion=quaternion,
**config,
cartesian=self.cartesian_flag,
)
] + function_list
pose[2] += float(cmd_dict["lift_height"])
function_list.append(
lambda dp=deep_pose.copy(), q=quaternion, cfg=config: self.moveit_task(
position=dp, quaternion=q, **cfg, cartesian=self.cartesian_flag
lambda: self.moveit_task(
position=pose, quaternion=quaternion, **config, cartesian=self.cartesian_flag
)
)
end_pose = list(deep_pose)
end_pose = pose
retval_ik = None
attempts_ik = config.get("retry", 10)
while retval_ik is None and attempts_ik > 0:
retval_ik = self.moveit2[move_group].compute_ik(
position=end_pose,
quat_xyzw=quaternion,
constraints=Constraints(joint_constraints=joint_constraint_msgs),
)
time.sleep(0.1)
attempts_ik -= 1
if retval_ik is None:
raise ValueError("Failed to compute inverse kinematics")
position_ = [
retval_ik.position[retval_ik.name.index(i)] for i in self.moveit2[move_group].joint_names
]
jn = self.moveit2[move_group].joint_names
function_list = [
lambda pos=position_, names=jn, cfg=config: self.moveit_joint_task(
joint_positions=pos, joint_names=names, **cfg
)
] + function_list
else:
function_list = [lambda cfg=config, jp=joint_positions_: self.moveit_joint_task(**cfg, joint_positions=jp)] + function_list
if "x_distance" in cmd_dict.keys() or "y_distance" in cmd_dict.keys():
if "x_distance" in cmd_dict.keys():
deep_pose = deepcopy(pose)
deep_pose[0] += float(cmd_dict["x_distance"])
elif "y_distance" in cmd_dict.keys():
deep_pose = deepcopy(pose)
deep_pose[1] += float(cmd_dict["y_distance"])
for i in range(len(function_list)):
if i == 0:
self.cartesian_flag = False
function_list = [
lambda: self.moveit_task(
position=pose, quaternion=quaternion, **config, cartesian=self.cartesian_flag
)
] + function_list
function_list.append(
lambda: self.moveit_task(
position=deep_pose, quaternion=quaternion, **config, cartesian=self.cartesian_flag
)
)
end_pose = deep_pose
retval_ik = None
retry = config.get("retry", 10)
while retval_ik is None and retry > 0:
retval_ik = self.moveit2[cmd_dict["move_group"]].compute_ik(
position=end_pose, quat_xyzw=quaternion, constraints=Constraints(joint_constraints=constraints)
)
time.sleep(0.1)
retry -= 1
if retval_ik is None:
result.success = False
return result
position_ = [
retval_ik.position[retval_ik.name.index(i)]
for i in self.moveit2[cmd_dict["move_group"]].joint_names
]
function_list = [
lambda: self.moveit_joint_task(
joint_positions=position_,
joint_names=self.moveit2[cmd_dict["move_group"]].joint_names,
**config,
)
] + function_list
else:
self.cartesian_flag = True
function_list = [
lambda: self.moveit_joint_task(**config, joint_positions=joint_positions_)
] + function_list
re = function_list[i]()
if not re:
print(i, re)
raise ValueError(f"Failed to execute moveit task: {i}")
for i in range(len(function_list)):
if i == 0:
self.cartesian_flag = False
else:
self.cartesian_flag = True
re = function_list[i]()
if not re:
print(i, re)
result.success = False
return result
result.success = True
except Exception as e:
print(e)
self.cartesian_flag = False
raise e
result.success = False
return result
def set_status(self, command: str):
"""

View File

View File

@@ -0,0 +1,127 @@
"""
AGV 通用转运工站 Driver
继承 WorkstationBase通过 WorkstationNodeCreator 自动获得 ROS2WorkstationNode 能力。
Warehouse 作为 children 中的资源节点,由 attach_resource() 自动注册到 resource_tracker。
deck=None不使用 PLR Deck 抽象。
"""
from typing import Any, Dict, List, Optional
from pylabrobot.resources import Deck
from unilabos.devices.workstation.workstation_base import WorkstationBase
from unilabos.resources.warehouse import WareHouse
from unilabos.utils import logger
class AGVTransportStation(WorkstationBase):
"""通用 AGV 转运工站
初始化链路(零框架改动):
ROS2DeviceNode.__init__():
issubclass(AGVTransportStation, WorkstationBase) → True
→ WorkstationNodeCreator.create_instance(data):
data["deck"] = None
→ DeviceClassCreator.create_instance(data) → AGVTransportStation(deck=None, ...)
→ attach_resource(): children 中 type="warehouse" → resource_tracker.add_resource(wh)
→ ROS2WorkstationNode(protocol_type=[...], children=[nav, arm], ...)
→ driver.post_init(ros_node):
self.carrier 从 resource_tracker 中获取 WareHouse
"""
def __init__(
self,
deck: Optional[Deck] = None,
children: Optional[List[Any]] = None,
route_table: Optional[Dict[str, Dict[str, str]]] = None,
device_roles: Optional[Dict[str, str]] = None,
**kwargs,
):
super().__init__(deck=None, **kwargs)
self.route_table: Dict[str, Dict[str, str]] = route_table or {}
self.device_roles: Dict[str, str] = device_roles or {}
# ============ 载具 (Warehouse) ============
@property
def carrier(self) -> Optional[WareHouse]:
"""从 resource_tracker 中找到 AGV 载具 Warehouse"""
if not hasattr(self, "_ros_node"):
return None
for res in self._ros_node.resource_tracker.resources:
if isinstance(res, WareHouse):
return res
return None
@property
def capacity(self) -> int:
"""AGV 载具总容量slot 数)"""
wh = self.carrier
if wh is None:
return 0
return wh.num_items_x * wh.num_items_y * wh.num_items_z
@property
def free_slots(self) -> List[str]:
"""返回当前空闲 slot 名称列表"""
wh = self.carrier
if wh is None:
return []
ordering = getattr(wh, "_ordering", {})
return [name for name, site in ordering.items() if site.resource is None]
@property
def occupied_slots(self) -> Dict[str, Any]:
"""返回已占用的 slot → Resource 映射"""
wh = self.carrier
if wh is None:
return {}
ordering = getattr(wh, "_ordering", {})
return {name: site.resource for name, site in ordering.items() if site.resource is not None}
# ============ 路由查询 ============
def resolve_route(self, from_station: str, to_station: str) -> Dict[str, str]:
"""查询路由表,返回导航和机械臂指令
Args:
from_station: 来源工站 ID
to_station: 目标工站 ID
Returns:
{"nav_command": "...", "arm_pick": "...", "arm_place": "..."}
Raises:
KeyError: 路由表中未找到对应路线
"""
route_key = f"{from_station}->{to_station}"
if route_key not in self.route_table:
raise KeyError(f"路由表中未找到路线: {route_key}")
return self.route_table[route_key]
def get_device_id(self, role: str) -> str:
"""获取子设备 ID
Args:
role: 设备角色,如 "navigator", "arm"
Returns:
设备 ID 字符串
Raises:
KeyError: 未配置该角色的设备
"""
if role not in self.device_roles:
raise KeyError(f"未配置设备角色: {role},当前已配置: {list(self.device_roles.keys())}")
return self.device_roles[role]
# ============ 生命周期 ============
def post_init(self, ros_node) -> None:
super().post_init(ros_node)
wh = self.carrier
if wh is not None:
logger.info(f"AGV {ros_node.device_id} 载具已就绪: {wh.name}, 容量={self.capacity}")
else:
logger.warning(f"AGV {ros_node.device_id} 未发现 Warehouse 载具资源")

View File

@@ -2,8 +2,6 @@ import time
import logging
from typing import Union, Dict, Optional
from unilabos.registry.decorators import topic_config
class VirtualMultiwayValve:
"""
@@ -43,11 +41,13 @@ class VirtualMultiwayValve:
def target_position(self) -> int:
return self._target_position
@property
@topic_config()
def current_port(self) -> str:
"""当前连接的端口名称 🔌"""
return self.port
def get_current_position(self) -> int:
"""获取当前阀门位置 📍"""
return self._current_position
def get_current_port(self) -> str:
"""获取当前连接的端口名称 🔌"""
return self._current_position
def set_position(self, command: Union[int, str]):
"""
@@ -169,14 +169,12 @@ class VirtualMultiwayValve:
self._status = "Idle"
self._valve_state = "Closed"
close_msg = f"🔒 阀门已关闭,保持在位置 {self._current_position} ({self.port})"
close_msg = f"🔒 阀门已关闭,保持在位置 {self._current_position} ({self.get_current_port()})"
self.logger.info(close_msg)
return close_msg
@property
@topic_config()
def valve_position(self) -> int:
"""阀门位置 📍"""
def get_valve_position(self) -> int:
"""获取阀门位置 - 兼容性方法 📍"""
return self._current_position
def set_valve_position(self, command: Union[int, str]):
@@ -231,16 +229,19 @@ class VirtualMultiwayValve:
self.logger.info(f"🔄 从端口 {self._current_position} 切换到泵位置...")
return self.set_to_pump_position()
@property
@topic_config()
def flow_path(self) -> str:
"""当前流路路径描述 🌊"""
def get_flow_path(self) -> str:
"""获取当前流路路径描述 🌊"""
current_port = self.get_current_port()
if self._current_position == 0:
return f"🚰 转移泵已连接 (位置 {self._current_position})"
return f"🔌 端口 {self._current_position} 已连接 ({self.current_port})"
flow_path = f"🚰 转移泵已连接 (位置 {self._current_position})"
else:
flow_path = f"🔌 端口 {self._current_position} 已连接 ({current_port})"
# 删除debug日志self.logger.debug(f"🌊 当前流路: {flow_path}")
return flow_path
def __str__(self):
current_port = self.current_port
current_port = self.get_current_port()
status_emoji = "" if self._status == "Idle" else "🔄" if self._status == "Busy" else ""
return f"🔄 VirtualMultiwayValve({status_emoji} 位置: {self._current_position}/{self.max_positions}, 端口: {current_port}, 状态: {self._status})"
@@ -252,7 +253,7 @@ if __name__ == "__main__":
print("🔄 === 虚拟九通阀门测试 === ✨")
print(f"🏠 初始状态: {valve}")
print(f"🌊 当前流路: {valve.flow_path}")
print(f"🌊 当前流路: {valve.get_flow_path()}")
# 切换到试剂瓶11号位
print(f"\n🔌 切换到1号位: {valve.set_position(1)}")

View File

@@ -3,7 +3,6 @@ import logging
import time as time_module
from typing import Dict, Any
from unilabos.registry.decorators import topic_config
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
class VirtualStirrer:
@@ -315,11 +314,9 @@ class VirtualStirrer:
def min_speed(self) -> float:
return self._min_speed
@property
@topic_config()
def device_info(self) -> Dict[str, Any]:
"""设备状态快照信息 📊"""
return {
def get_device_info(self) -> Dict[str, Any]:
"""获取设备状态信息 📊"""
info = {
"device_id": self.device_id,
"status": self.status,
"operation_mode": self.operation_mode,
@@ -328,9 +325,12 @@ class VirtualStirrer:
"is_stirring": self.is_stirring,
"remaining_time": self.remaining_time,
"max_speed": self._max_speed,
"min_speed": self._min_speed,
"min_speed": self._min_speed
}
# self.logger.debug(f"📊 设备信息: 模式={self.operation_mode}, 速度={self.current_speed} RPM, 搅拌={self.is_stirring}")
return info
def __str__(self):
status_emoji = "" if self.operation_mode == "Idle" else "🌪️" if self.operation_mode == "Stirring" else "🛑" if self.operation_mode == "Settling" else ""
return f"🌪️ VirtualStirrer({status_emoji} {self.device_id}: {self.operation_mode}, {self.current_speed} RPM)"

View File

@@ -4,7 +4,6 @@ from enum import Enum
from typing import Union, Optional
import logging
from unilabos.registry.decorators import topic_config
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
@@ -386,10 +385,8 @@ class VirtualTransferPump:
"""获取当前体积"""
return self._current_volume
@property
@topic_config()
def remaining_capacity(self) -> float:
"""剩余容量 (ml)"""
def get_remaining_capacity(self) -> float:
"""获取剩余容量"""
return self.max_volume - self._current_volume
def is_empty(self) -> bool:

View File

@@ -14,30 +14,19 @@ Virtual Workbench Device - 模拟工作台设备
import logging
import time
from typing import Dict, Any, Optional, List
from dataclasses import dataclass
from enum import Enum
from threading import Lock, RLock
from typing import Any, Dict, List, Optional, cast
from typing_extensions import TypedDict
from unilabos.registry.decorators import (
ActionInputHandle,
ActionOutputHandle,
DataSource,
NodeType,
action,
device,
not_action,
topic_config,
)
from unilabos.registry.placeholder_type import ResourceSlot, DeviceSlot
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
from unilabos.resources.resource_tracker import (
SampleUUIDsType,
LabSample,
ResourceTreeSet,
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
# ============ TypedDict 返回类型定义 ============
@@ -122,7 +111,6 @@ class HeatingStation:
@device(
id="virtual_workbench",
display_name="虚拟工作台",
category=["virtual_device"],
description="Virtual Workbench with 1 robotic arm and 3 heating stations for concurrent material processing",
)
@@ -148,19 +136,7 @@ class VirtualWorkbench:
HEATING_TIME: float = 60.0 # 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,
):
"""
初始化虚拟工作台。
Args:
device_id[设备ID]: 工作台设备实例 ID默认使用 virtual_workbench。
config[设备配置]: 可包含 arm_operation_time、heating_time、num_heating_stations。
"""
def __init__(self, device_id: Optional[str] = None, config: Optional[Dict[str, Any]] = None, **kwargs):
# 处理可能的不同调用方式
if device_id is None and "id" in kwargs:
device_id = kwargs.pop("id")
@@ -174,13 +150,9 @@ 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.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.NUM_HEATING_STATIONS = int(self.config.get("num_heating_stations", self.NUM_HEATING_STATIONS))
# 机械臂状态和锁
self._arm_lock = Lock()
@@ -189,8 +161,7 @@ class VirtualWorkbench:
# 加热台状态
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()
@@ -319,292 +290,20 @@ class VirtualWorkbench:
self._update_data_status(f"机械臂已释放 (完成: {task})")
self.logger.info(f"机械臂已释放 (完成: {task})")
@action(
always_free=True,
node_type=NodeType.MANUAL_CONFIRM,
placeholder_keys={"assignee_user_ids": "unilabos_manual_confirm"},
goal_default={"timeout_seconds": 3600, "assignee_user_ids": []},
feedback_interval=300,
handles=[
ActionInputHandle(
key="target_device",
data_type="device_id",
label="目标设备",
data_key="target_device",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="resource",
data_type="resource",
label="待转移资源",
data_key="resource",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="mount_resource",
data_type="resource",
label="目标孔位",
data_key="mount_resource",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="collector_mass",
data_type="collector_mass",
label="极流体质量",
data_key="collector_mass",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="active_material",
data_type="active_material",
label="活性物质含量",
data_key="active_material",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="capacity",
data_type="capacity",
label="克容量",
data_key="capacity",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="battery_system",
data_type="battery_system",
label="电池体系",
data_key="battery_system",
data_source=DataSource.HANDLE,
),
# transfer使用
ActionOutputHandle(
key="target_device",
data_type="device_id",
label="目标设备",
data_key="target_device",
data_source=DataSource.EXECUTOR,
),
ActionOutputHandle(
key="resource",
data_type="resource",
label="待转移资源",
data_key="resource.@flatten",
data_source=DataSource.EXECUTOR,
),
ActionOutputHandle(
key="mount_resource",
data_type="resource",
label="目标孔位",
data_key="mount_resource.@flatten",
data_source=DataSource.EXECUTOR,
),
# test使用
ActionOutputHandle(
key="collector_mass",
data_type="collector_mass",
label="极流体质量",
data_key="collector_mass",
data_source=DataSource.EXECUTOR,
),
ActionOutputHandle(
key="active_material",
data_type="active_material",
label="活性物质含量",
data_key="active_material",
data_source=DataSource.EXECUTOR,
),
ActionOutputHandle(
key="capacity",
data_type="capacity",
label="克容量",
data_key="capacity",
data_source=DataSource.EXECUTOR,
),
ActionOutputHandle(
key="battery_system",
data_type="battery_system",
label="电池体系",
data_key="battery_system",
data_source=DataSource.EXECUTOR,
),
],
)
def manual_confirm(
self,
resource: List[ResourceSlot],
target_device: DeviceSlot,
mount_resource: List[ResourceSlot],
collector_mass: List[float],
active_material: List[float],
capacity: List[float],
battery_system: List[str],
timeout_seconds: int,
assignee_user_ids: list[str],
**kwargs,
) -> dict:
"""
人工确认资源转移和扣电测试参数。
Args:
resource[待转移资源]: 需要人工确认的资源列表。
target_device[目标设备]: 资源要转移到的目标设备 ID。
mount_resource[目标孔位]: 资源要挂载到的目标孔位列表。
collector_mass[极流体质量]: 每个样品对应的极流体质量。
active_material[活性物质含量]: 每个样品对应的活性物质含量。
capacity[克容量]: 每个样品对应的克容量,单位 mAh/g。
battery_system[电池体系]: 每个样品对应的电池体系名称。
timeout_seconds[超时时间]: 人工确认超时时间,单位秒。
assignee_user_ids[确认人]: 指定处理人工确认任务的用户 ID 列表。
Note:
修改的结果无效,是只读的。
"""
resource_tree = ResourceTreeSet.from_plr_resources(cast(Any, resource)).dump()
mount_resource_tree = ResourceTreeSet.from_plr_resources(cast(Any, mount_resource)).dump()
kwargs.update(locals())
kwargs.pop("kwargs")
kwargs.pop("self")
kwargs["resource"] = resource_tree
kwargs["mount_resource"] = mount_resource_tree
kwargs.pop("resource_tree")
kwargs.pop("mount_resource_tree")
return kwargs
@action(
description="转移物料",
handles=[
ActionInputHandle(
key="target_device",
data_type="device_id",
label="目标设备",
data_key="target_device",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="resource",
data_type="resource",
label="待转移资源",
data_key="resource",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="mount_resource",
data_type="resource",
label="目标孔位",
data_key="mount_resource",
data_source=DataSource.HANDLE,
),
],
)
async def transfer(
self,
resource: List[ResourceSlot],
target_device: DeviceSlot,
mount_resource: List[ResourceSlot],
):
"""
转移资源到目标设备。
Args:
resource[待转移资源]: 待转移的资源列表。
target_device[目标设备]: 接收资源的目标设备 ID。
mount_resource[目标孔位]: 目标设备上的挂载孔位列表。
"""
future = ROS2DeviceNode.run_async_func(
self._ros_node.transfer_resource_to_another,
True,
**{
"plr_resources": resource,
"target_device_id": target_device,
"target_resources": mount_resource,
"sites": [None] * len(mount_resource),
},
)
result = await future
return result
@action(
description="扣电测试启动",
handles=[
ActionInputHandle(
key="resource",
data_type="resource",
label="待转移资源",
data_key="resource",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="mount_resource",
data_type="resource",
label="目标孔位",
data_key="mount_resource",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="collector_mass",
data_type="collector_mass",
label="极流体质量",
data_key="collector_mass",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="active_material",
data_type="active_material",
label="活性物质含量",
data_key="active_material",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="capacity",
data_type="capacity",
label="克容量",
data_key="capacity",
data_source=DataSource.HANDLE,
),
ActionInputHandle(
key="battery_system",
data_type="battery_system",
label="电池体系",
data_key="battery_system",
data_source=DataSource.HANDLE,
),
],
)
async def test(
self,
resource: List[ResourceSlot],
mount_resource: List[ResourceSlot],
collector_mass: List[float],
active_material: List[float],
capacity: List[float],
battery_system: list[str],
):
"""
启动扣电测试。
Args:
resource[待测试资源]: 需要进行扣电测试的资源列表。
mount_resource[测试孔位]: 扣电测试使用的目标孔位列表。
collector_mass[极流体质量]: 每个样品对应的极流体质量。
active_material[活性物质含量]: 每个样品对应的活性物质含量。
capacity[克容量]: 每个样品对应的克容量,单位 mAh/g。
battery_system[电池体系]: 每个样品对应的电池体系名称。
"""
print(resource)
print(mount_resource)
print(collector_mass)
print(active_material)
print(capacity)
print(battery_system)
@action(
auto_prefix=True,
description="批量准备物料 - 虚拟起始节点, 生成A1-A5物料, 输出5个handle供后续节点使用",
handles=[
ActionOutputHandle(key="channel_1", data_type="workbench_material", label="实验1", data_key="material_1", data_source=DataSource.EXECUTOR), # noqa: E501
ActionOutputHandle(key="channel_2", data_type="workbench_material", label="实验2", data_key="material_2", data_source=DataSource.EXECUTOR), # noqa: E501
ActionOutputHandle(key="channel_3", data_type="workbench_material", label="实验3", data_key="material_3", data_source=DataSource.EXECUTOR), # noqa: E501
ActionOutputHandle(key="channel_4", data_type="workbench_material", label="实验4", data_key="material_4", data_source=DataSource.EXECUTOR), # noqa: E501
ActionOutputHandle(key="channel_5", data_type="workbench_material", label="实验5", data_key="material_5", data_source=DataSource.EXECUTOR), # noqa: E501
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(
@@ -617,9 +316,6 @@ class VirtualWorkbench:
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[物料数量]: 要生成的物料数量,默认生成 5 个。
"""
materials = [i for i in range(1, count + 1)]
@@ -640,11 +336,7 @@ class VirtualWorkbench:
LabSample(
sample_uuid=sample_uuid,
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
),
extra={"material_uuid": content} if isinstance(content, str) else (content.serialize() if content else {}),
)
for sample_uuid, content in sample_uuids.items()
],
@@ -654,27 +346,12 @@ class VirtualWorkbench:
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,
),
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(
@@ -686,9 +363,6 @@ class VirtualWorkbench:
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
Args:
material_number[物料编号]: 要移动的物料编号,对应 A1、A2 等起始位置。
"""
material_id = f"A{material_number}"
task_desc = f"移动{material_id}到加热台"
@@ -751,8 +425,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -775,8 +448,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -788,34 +460,14 @@ class VirtualWorkbench:
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,
),
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(
@@ -826,10 +478,6 @@ class VirtualWorkbench:
) -> StartHeatingResult:
"""
启动指定加热台的加热程序
Args:
station_id[加热台ID]: 要启动加热的加热台编号。
material_number[物料编号]: 当前加热台上的物料编号。
"""
self.logger.info(f"[加热台{station_id}] 开始加热")
@@ -846,8 +494,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -870,8 +517,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -891,8 +537,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -932,9 +577,7 @@ 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"
)
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:
@@ -951,9 +594,7 @@ class VirtualWorkbench:
self._active_tasks[material_id]["status"] = "heating_completed"
self._update_data_status(f"加热台{station_id}加热完成")
self.logger.info(
f"[加热台{station_id}] {material_id}加热完成 (用时{self.HEATING_TIME}s)"
)
self.logger.info(f"[加热台{station_id}] {material_id}加热完成 (用时{self.HEATING_TIME}s)")
return {
"success": True,
@@ -967,8 +608,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -979,20 +619,10 @@ class VirtualWorkbench:
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,
),
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(
@@ -1003,10 +633,6 @@ class VirtualWorkbench:
) -> MoveToOutputResult:
"""
将物料从加热台移动到输出位置Cn
Args:
station_id[加热台ID]: 已完成加热的加热台编号。
material_number[物料编号]: 要移动到输出位置的物料编号,对应 Cn。
"""
output_number = material_number
@@ -1023,8 +649,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -1048,8 +673,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -1069,8 +693,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()
@@ -1152,8 +775,7 @@ class VirtualWorkbench:
oss_path="",
extra=(
{"material_uuid": content}
if isinstance(content, str)
else (content.serialize() if content else {})
if isinstance(content, str) else (content.serialize() if content else {})
),
)
for sample_uuid, content in sample_uuids.items()

View File

@@ -1,9 +1,5 @@
# 工作站抽象基类物料系统架构说明
## 设计理念
基于用户需求"请你帮我系统思考一下,工作站抽象基类的物料系统基类该如何构建",我们最终确定了一个**PyLabRobot Deck为中心**的简化架构。
### 核心原则
1. **PyLabRobot为物料管理核心**使用PyLabRobot的Deck系统作为物料管理的基础利用其成熟的Resource体系

View File

@@ -0,0 +1,113 @@
# Bioyond Cell 工作站 - 多订单返回示例
本文档说明了 `create_orders` 函数如何收集并返回所有订单的完成报文。
## 问题描述
之前的实现只会等待并返回第一个订单的完成报文,如果有多个订单(例如从 Excel 解析出 3 个订单),只能得到第一个订单的推送信息。
## 解决方案
修改后的 `create_orders` 函数现在会:
1. **提取所有 orderCode**:从 LIMS 接口返回的 `data` 列表中提取所有订单编号
2. **逐个等待完成**:遍历所有 orderCode调用 `wait_for_order_finish` 等待每个订单完成
3. **收集所有报文**:将每个订单的完成报文存入 `all_reports` 列表
4. **统一返回**:返回包含所有订单报文的 JSON 格式数据
## 返回格式
```json
{
"status": "all_completed",
"total_orders": 3,
"reports": [
{
"token": "",
"request_time": "2025-12-24T15:32:09.2148671+08:00",
"data": {
"orderId": "3a1e614d-a082-c44a-60be-68647a35e6f1",
"orderCode": "BSO2025122400024",
"orderName": "DP20251224001",
"status": "30",
"workflowStatus": "completed",
"usedMaterials": [...]
}
},
{
"token": "",
"request_time": "2025-12-24T15:32:09.9999039+08:00",
"data": {
"orderId": "3a1e614d-a0a2-f7a9-9360-610021c9479d",
"orderCode": "BSO2025122400025",
"orderName": "DP20251224002",
"status": "30",
"workflowStatus": "completed",
"usedMaterials": [...]
}
},
{
"token": "",
"request_time": "2025-12-24T15:34:00.4139986+08:00",
"data": {
"orderId": "3a1e614d-a0cd-81ca-9f7f-2f4e93af01cd",
"orderCode": "BSO2025122400026",
"orderName": "DP20251224003",
"status": "30",
"workflowStatus": "completed",
"usedMaterials": [...]
}
}
],
"original_response": {...}
}
```
## 使用示例
```python
# 调用 create_orders
result = workstation.create_orders("20251224.xlsx")
# 访问返回数据
print(f"总订单数: {result['total_orders']}")
print(f"状态: {result['status']}")
# 遍历所有订单的报文
for i, report in enumerate(result['reports'], 1):
order_data = report.get('data', {})
print(f"\n订单 {i}:")
print(f" orderCode: {order_data.get('orderCode')}")
print(f" orderName: {order_data.get('orderName')}")
print(f" status: {order_data.get('status')}")
print(f" 使用物料数: {len(order_data.get('usedMaterials', []))}")
```
## 控制台输出示例
```
[create_orders] 即将提交订单数量: 3
[create_orders] 接口返回: {...}
[create_orders] 等待 3 个订单完成: ['BSO2025122400024', 'BSO2025122400025', 'BSO2025122400026']
[create_orders] 正在等待第 1/3 个订单: BSO2025122400024
[create_orders] ✓ 订单 BSO2025122400024 完成
[create_orders] 正在等待第 2/3 个订单: BSO2025122400025
[create_orders] ✓ 订单 BSO2025122400025 完成
[create_orders] 正在等待第 3/3 个订单: BSO2025122400026
[create_orders] ✓ 订单 BSO2025122400026 完成
[create_orders] 所有订单已完成,共收集 3 个报文
实验记录本========================create_orders========================
返回报文数量: 3
报文 1: orderCode=BSO2025122400024, status=30
报文 2: orderCode=BSO2025122400025, status=30
报文 3: orderCode=BSO2025122400026, status=30
========================
```
## 关键改进
1.**等待所有订单**:不再只等待第一个订单,而是遍历所有 orderCode
2.**收集完整报文**:每个订单的完整推送报文都被保存在 `reports` 数组中
3.**详细日志**:清晰显示正在等待哪个订单,以及完成情况
4.**错误处理**:即使某个订单失败,也会记录其状态信息
5.**统一格式**:返回的 JSON 格式便于后续处理和分析

View File

@@ -0,0 +1,204 @@
# BioyondCellWorkstation JSON 配置迁移经验总结
**日期**: 2026-01-13
**目的**: 从 `config.py` 迁移到 JSON 配置文件
---
## 问题背景
原系统通过 `config.py` 管理配置,导致:
1. HTTP 服务重复启动(父类 `BioyondWorkstation` 和子类都启动)
2. 配置分散在代码中,不便于管理
3. 无法通过 JSON 统一配置所有参数
---
## 解决方案:嵌套配置结构
### JSON 结构设计
**正确示例** (嵌套在 `config` 中):
```json
{
"nodes": [{
"id": "bioyond_cell_workstation",
"config": {
"deck": {...},
"protocol_type": [],
"bioyond_config": {
"api_host": "http://172.16.11.219:44388",
"api_key": "8A819E5C",
"timeout": 30,
"HTTP_host": "172.16.11.206",
"HTTP_port": 8080,
"debug_mode": false,
"material_type_mappings": {...},
"warehouse_mapping": {...},
"solid_liquid_mappings": {...}
}
},
"data": {}
}]
}
```
**关键点**
-`bioyond_config` 放在 `config` 中(会传递到 `__init__`
- ❌ **不要**放在 `data` 中(`data` 是运行时状态,不会传递)
---
## Python 代码适配
### 1. 修改 `BioyondCellWorkstation.__init__` 签名
**文件**: `bioyond_cell_workstation.py`
```python
def __init__(self, bioyond_config: dict = None, deck=None, protocol_type=None, **kwargs):
"""
Args:
bioyond_config: 从 JSON 加载的配置字典
deck: Deck 配置
protocol_type: 协议类型
"""
# 验证配置
if bioyond_config is None:
raise ValueError("需要 bioyond_config 参数")
# 保存配置
self.bioyond_config = bioyond_config
# 设置 HTTP 服务去重标志
self.bioyond_config["_disable_auto_http_service"] = True
# 调用父类
super().__init__(bioyond_config=self.bioyond_config, deck=deck, **kwargs)
```
### 2. 替换全局变量引用
**修改前**(使用全局变量):
```python
from config import MATERIAL_TYPE_MAPPINGS, WAREHOUSE_MAPPING
def create_sample(self, board_type, ...):
carrier_type_id = MATERIAL_TYPE_MAPPINGS[board_type][1]
location_id = WAREHOUSE_MAPPING[warehouse_name]["site_uuids"][location_code]
```
**修改后**(从配置读取):
```python
def create_sample(self, board_type, ...):
carrier_type_id = self.bioyond_config['material_type_mappings'][board_type][1]
location_id = self.bioyond_config['warehouse_mapping'][warehouse_name]["site_uuids"][location_code]
```
### 3. 修复父类配置访问
`station.py` 中安全访问配置默认值:
```python
# 修改前(会 KeyError
self._http_service_config = {
"host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG["http_service_host"])
}
# 修改后(安全访问)
self._http_service_config = {
"host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG.get("http_service_host", ""))
}
```
---
## 常见陷阱
### ❌ 错误1将配置放在 `data` 字段
```json
"config": {"deck": {...}},
"data": {"bioyond_config": {...}} // ❌ 不会传递到 __init__
```
### ❌ 错误2扁平化配置已废弃方案
虽然扁平化也能工作,但不推荐:
```json
"config": {
"deck": {...},
"api_host": "...", // ❌ 不够清晰
"api_key": "...",
"HTTP_host": "..."
}
```
### ❌ 错误3忘记替换全局变量引用
代码中直接使用 `MATERIAL_TYPE_MAPPINGS` 等全局变量会导致 `NameError`
---
## 云端同步注意事项
使用 `--upload_registry` 时,云端配置可能覆盖本地配置:
- 首次上传时确保 JSON 完整
- 或使用新的 `ak/sk` 避免旧配置干扰
- 调试时可暂时移除 `--upload_registry` 参数
---
## 验证清单
启动成功后应看到:
```
✅ 从 JSON 配置加载 bioyond_config 成功
API Host: http://...
HTTP Service: ...
✅ BioyondCellWorkstation 初始化完成
Loaded ResourceTreeSet with ... nodes
```
运行时不应出现:
-`NameError: name 'MATERIAL_TYPE_MAPPINGS' is not defined`
-`KeyError: 'http_service_host'`
-`bioyond_config 缺少必需参数`
---
## 调试经验
1. **添加调试日志**查看参数传递链路:
- `graphio.py`: JSON 加载后的 config 内容
- `initialize_device.py`: `device_config.res_content.config` 的键
- `bioyond_cell_workstation.py`: `__init__` 接收到的参数
2. **config vs data 区别**
- `config`: 初始化参数,传递给 `__init__`
- `data`: 运行时状态,不传递给 `__init__`
3. **参数名必须匹配**
- JSON 中的键名必须与 `__init__` 参数名完全一致
4. **调试代码清理**:完成后记得删除调试日志(🔍 DEBUG 标记)
---
## 修改文件清单
| 文件 | 修改内容 |
|------|----------|
| `yibin_electrolyte_config.json` | 创建嵌套 `config.bioyond_config` 结构 |
| `bioyond_cell_workstation.py` | 修改 `__init__` 接收 `bioyond_config`,替换所有全局变量引用 |
| `station.py` | 安全访问 `HTTP_SERVICE_CONFIG` 默认值 |
---
## 参考代码位置
- JSON 配置示例: `yibin_electrolyte_config.json` L12-L353
- `__init__` 实现: `bioyond_cell_workstation.py` L39-L94
- 全局变量替换示例: `bioyond_cell_workstation.py` L2005, L1863, L1966
- HTTP 服务配置: `station.py` L629-L634
---
**总结**: 使用嵌套结构将所有配置放在 `config.bioyond_config` 中,修改 `__init__` 直接接收该参数,并替换所有全局变量引用为 `self.bioyond_config` 访问。

View File

@@ -0,0 +1,312 @@
# BioyondCell 配置迁移修改总结
**日期**: 2026-01-13
**目标**: 从 `config.py` 完全迁移到 JSON 配置,消除所有全局变量依赖
---
## 📋 修改概览
本次修改完成了 BioyondCell 模块从 Python 配置文件到 JSON 配置的完整迁移,并清理了所有对 `config.py` 全局变量的依赖。
### 核心成果
- ✅ 完全移除对 `config.py` 的导入依赖
- ✅ 使用嵌套 JSON 结构 `config.bioyond_config`
- ✅ 修复 7 处 `bioyond_cell_workstation.py` 中的全局变量引用
- ✅ 修复 3 处其他文件中的全局变量引用
- ✅ HTTP 服务去重机制完善
- ✅ 系统成功启动并正常运行
---
## 🔧 修改文件清单
### 1. JSON 配置文件
**文件**: `yibin_electrolyte_config.json`
**修改**:
- 采用嵌套结构将所有配置放在 `config.bioyond_config`
- 包含:`api_host`, `api_key`, `HTTP_host`, `HTTP_port`, `material_type_mappings`, `warehouse_mapping`, `solid_liquid_mappings`
**示例结构**:
```json
{
"nodes": [{
"id": "bioyond_cell_workstation",
"config": {
"deck": {...},
"protocol_type": [],
"bioyond_config": {
"api_host": "http://172.16.11.219:44388",
"api_key": "8A819E5C",
"HTTP_host": "172.16.11.206",
"HTTP_port": 8080,
"material_type_mappings": {...},
"warehouse_mapping": {...},
"solid_liquid_mappings": {...}
}
}
}]
}
```
---
### 2. bioyond_cell_workstation.py
**位置**: `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
#### 修改 A: `__init__` 方法签名 (L39-99)
**修改前**:
```python
def __init__(self, deck=None, protocol_type=None, **kwargs):
# 从 kwargs 收集配置字段
self.bioyond_config = {}
for field in bioyond_field_names:
if field in kwargs:
self.bioyond_config[field] = kwargs.pop(field)
```
**修改后**:
```python
def __init__(self, bioyond_config: dict = None, deck=None, protocol_type=None, **kwargs):
"""直接接收 bioyond_config 参数"""
if bioyond_config is None:
raise ValueError("需要 bioyond_config 参数")
self.bioyond_config = bioyond_config
# 设置 HTTP 服务去重标志
self.bioyond_config["_disable_auto_http_service"] = True
super().__init__(bioyond_config=self.bioyond_config, deck=deck, **kwargs)
```
#### 修改 B: 替换全局变量引用 (7 处)
| 位置 | 原代码 | 修改后 |
|------|--------|--------|
| L2005 | `MATERIAL_TYPE_MAPPINGS[board_type][1]` | `self.bioyond_config['material_type_mappings'][board_type][1]` |
| L2006 | `MATERIAL_TYPE_MAPPINGS[bottle_type][1]` | `self.bioyond_config['material_type_mappings'][bottle_type][1]` |
| L2009 | `WAREHOUSE_MAPPING` | `self.bioyond_config['warehouse_mapping']` |
| L2013 | `WAREHOUSE_MAPPING[warehouse_name]` | `self.bioyond_config['warehouse_mapping'][warehouse_name]` |
| L2017 | `WAREHOUSE_MAPPING[warehouse_name]["site_uuids"]` | `self.bioyond_config['warehouse_mapping'][warehouse_name]["site_uuids"]` |
| L1863 | `SOLID_LIQUID_MAPPINGS.get(material_name)` | `self.bioyond_config.get('solid_liquid_mappings', {}).get(material_name)` |
| L1966, L1976 | `MATERIAL_TYPE_MAPPINGS.items()` | `self.bioyond_config['material_type_mappings'].items()` |
---
### 3. station.py
**位置**: `unilabos/devices/workstation/bioyond_studio/station.py`
#### 修改 A: 删除 config 导入 (L26-28)
**修改前**:
```python
from unilabos.devices.workstation.bioyond_studio.config import (
API_CONFIG, WORKFLOW_MAPPINGS, MATERIAL_TYPE_MAPPINGS, WAREHOUSE_MAPPING, HTTP_SERVICE_CONFIG
)
```
**修改后**:
```python
# 已删除此导入
```
#### 修改 B: `_create_communication_module` 方法 (L691-702)
**修改前**:
```python
def _create_communication_module(self, config: Optional[Dict[str, Any]] = None) -> None:
default_config = {
**API_CONFIG,
"workflow_mappings": WORKFLOW_MAPPINGS,
"material_type_mappings": MATERIAL_TYPE_MAPPINGS,
"warehouse_mapping": WAREHOUSE_MAPPING
}
if config:
self.bioyond_config = {**default_config, **config}
else:
self.bioyond_config = default_config
```
**修改后**:
```python
def _create_communication_module(self, config: Optional[Dict[str, Any]] = None) -> None:
"""创建Bioyond通信模块"""
# 使用传入的 config 参数(来自 bioyond_config
# 不再依赖全局变量 API_CONFIG 等
if config:
self.bioyond_config = config
else:
# 如果没有传入配置,创建空配置(用于测试或兼容性)
self.bioyond_config = {}
self.hardware_interface = BioyondV1RPC(self.bioyond_config)
```
#### 修改 C: HTTP 服务配置 (L627-632)
**修改前**:
```python
self._http_service_config = {
"host": bioyond_config.get("http_service_host", HTTP_SERVICE_CONFIG.get("http_service_host", "")),
"port": bioyond_config.get("http_service_port", HTTP_SERVICE_CONFIG.get("http_service_port", 0))
}
```
**修改后**:
```python
self._http_service_config = {
"host": bioyond_config.get("http_service_host", bioyond_config.get("HTTP_host", "")),
"port": bioyond_config.get("http_service_port", bioyond_config.get("HTTP_port", 0))
}
```
---
### 4. bioyond_rpc.py
**位置**: `unilabos/devices/workstation/bioyond_studio/bioyond_rpc.py`
#### 修改 A: 删除 config 导入 (L12)
**修改前**:
```python
from unilabos.devices.workstation.bioyond_studio.config import LOCATION_MAPPING
```
**修改后**:
```python
# 已删除此导入
```
#### 修改 B: `material_outbound` 方法 (L278-280)
**修改前**:
```python
def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
"""指定库位出库物料(通过库位名称)"""
location_id = LOCATION_MAPPING.get(location_name, location_name)
```
**修改后**:
```python
def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
"""指定库位出库物料(通过库位名称)"""
# location_name 参数实际上应该直接是 location_id (UUID)
location_id = location_name
```
**说明**: `LOCATION_MAPPING``config-0113.py` 中本来就是空字典 `{}`,所以直接使用 `location_name` 逻辑等价。
---
## 🎯 关键设计决策
### 1. 嵌套 vs 扁平配置
**选择**: 嵌套结构 `config.bioyond_config`
**理由**:
- ✅ 语义清晰,配置分组明确
- ✅ 参数传递直观,直接对应 `__init__` 参数
- ✅ 易于维护,不需要硬编码字段列表
- ✅ 符合 UniLab 设计模式
### 2. HTTP 服务去重
**实现**: 子类设置 `_disable_auto_http_service` 标志
```python
# bioyond_cell_workstation.py
self.bioyond_config["_disable_auto_http_service"] = True
# station.py (post_init)
if self.bioyond_config.get("_disable_auto_http_service"):
logger.info("子类已自行管理HTTP服务跳过自动启动")
return
```
### 3. 全局变量替换策略
**原则**: 所有配置从 `self.bioyond_config` 获取
**模式**:
```python
# 修改前
from config import MATERIAL_TYPE_MAPPINGS
carrier_type_id = MATERIAL_TYPE_MAPPINGS[board_type][1]
# 修改后
carrier_type_id = self.bioyond_config['material_type_mappings'][board_type][1]
```
---
## ✅ 验证结果
### 启动成功日志
```
✅ 从 JSON 配置加载 bioyond_config 成功
API Host: http://172.16.11.219:44388
HTTP Service: 172.16.11.206:8080
🔧 已设置 _disable_auto_http_service 标志,防止 HTTP 服务重复启动
✅ BioyondCellWorkstation 初始化完成
Loaded ResourceTreeSet with 1 trees, 1785 total nodes
```
### 功能验证
- ✅ 订单创建 (`create_orders_v2`)
- ✅ 质量比计算
- ✅ 物料转移 (`transfer_3_to_2_to_1`)
- ✅ HTTP 报送接收 (step_finish, sample_finish, order_finish)
- ✅ 等待机制 (`wait_for_order_finish`)
- ✅ 仓库 UUID 映射
- ✅ 物料类型映射
---
## 📚 相关文档
- **配置迁移经验**: `2026-01-13_JSON配置迁移经验.md`
- **任务清单**: `C:\Users\AndyXie\.gemini\antigravity\brain\...\task.md`
- **实施计划**: `C:\Users\AndyXie\.gemini\antigravity\brain\...\implementation_plan.md`
---
## ⚠️ 注意事项
### 其他工作站模块
以下文件仍在使用 `config.py` 全局变量(未包含在本次修改中):
- `reaction_station.py` - 使用 `API_CONFIG`
- `experiment.py` - 使用 `API_CONFIG`, `WORKFLOW_MAPPINGS`, `MATERIAL_TYPE_MAPPINGS`
- `dispensing_station.py` - 使用 `API_CONFIG`, `WAREHOUSE_MAPPING`
- `station.py` L176, L177, L529, L530 - 动态导入 `WAREHOUSE_MAPPING`
**建议**: 后续可以统一迁移这些模块到 JSON 配置。
### config.py 文件
`config.py` 文件已恢复但**不再被 bioyond_cell 使用**。可以:
- 保留作为其他模块的参考
- 或者完全删除(如果其他模块也迁移完成)
---
## 🚀 下一步建议
1. **清理调试代码** ✅ (已完成)
2. **提交代码到 Git**
3. **迁移其他工作站模块** (可选)
4. **更新文档和启动脚本**
---
**修改完成日期**: 2026-01-13
**系统状态**: ✅ 稳定运行

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@@ -0,0 +1,157 @@
# 批量出库 Excel 模板使用说明
**文件**: `outbound_template.xlsx`
**用途**: 配合 `auto_batch_outbound_from_xlsx()` 方法进行批量出库操作
**API 端点**: `/api/lims/storage/auto-batch-out-bound`
---
## 📋 Excel 列说明
| 列名 | 说明 | 示例 | 必填 |
|------|------|------|------|
| `locationId` | **库位 IDUUID** | `3a19da43-57b5-294f-d663-154a1cc32270` | ✅ 是 |
| `warehouseId` | **仓库 ID 或名称** | `配液站内试剂仓库` | ✅ 是 |
| `quantity` | **出库数量** | `1.0`, `2.0` | ✅ 是 |
| `x` | **X 坐标(库位横向位置)** | `1`, `2`, `3` | ✅ 是 |
| `y` | **Y 坐标(库位纵向位置)** | `1`, `2`, `3` | ✅ 是 |
| `z` | **Z 坐标(库位层数/高度)** | `1`, `2`, `3` | ✅ 是 |
| `备注说明` | 可选备注信息 | `配液站内试剂仓库-A01` | ❌ 否 |
### 📐 坐标说明
**x, y, z** 是库位在仓库内的**三维坐标**
```
仓库(例如 WH4
├── Z=1第1层/加样头面)
│ ├── X=1, Y=1位置 A
│ ├── X=2, Y=1位置 B
│ ├── X=3, Y=1位置 C
│ └── ...
└── Z=2第2层/原液瓶面)
├── X=1, Y=1位置 A
├── X=2, Y=1位置 B
└── ...
```
- **warehouseId**: 指定哪个仓库WH3, WH4, 配液站等)
- **x, y, z**: 在该仓库内的三维坐标
- **locationId**: 该坐标位置的唯一 UUID
### 🎯 起点与终点
**重要说明**:批量出库模板**只规定了出库的"起点"**(从哪里取物料),**没有指定"终点"**(放到哪里)。
```
出库流程:
起点Excel 指定) → 终点LIMS/工作流决定)
locationId, x, y, z → 由 LIMS 系统或当前工作流自动分配
```
**终点由以下方式确定:**
- **LIMS 系统自动分配**:根据当前任务自动规划目标位置
- **工作流预定义**:在创建出库任务时已绑定目标位置
- **暂存区**:默认放到出库暂存区,等待下一步操作
💡 **对比**:上料操作(`auto_feeding4to3`)则有 `targetWH` 参数可以指定目标仓库
---
## 🔍 如何获取 UUID
### 方法 1从配置文件获取
参考 `yibin_electrolyte_config.json` 中的 `warehouse_mapping`
```json
{
"warehouse_mapping": {
"配液站内试剂仓库": {
"site_uuids": {
"A01": "3a19da43-57b5-294f-d663-154a1cc32270",
"B01": "3a19da43-57b5-7394-5f49-54efe2c9bef2",
"C01": "3a19da43-57b5-5e75-552f-8dbd0ad1075f"
}
},
"手动堆栈": {
"site_uuids": {
"A01": "3a19deae-2c7a-36f5-5e41-02c5b66feaea",
"A02": "3a19deae-2c7a-dc6d-c41e-ef285d946cfe"
}
}
}
}
```
### 方法 2通过 API 查询
```python
material_info = hardware_interface.material_id_query(workflow_id)
locations = material_info.get("locations", [])
```
---
## 📝 填写示例
### 示例 1从配液站内试剂仓库出库
| locationId | warehouseId | quantity | x | y | z | 备注说明 |
|------------|-------------|----------|---|---|---|----------|
| `3a19da43-57b5-294f-d663-154a1cc32270` | 配液站内试剂仓库 | 1 | 1 | 1 | 1 | A01 位置 |
| `3a19da43-57b5-7394-5f49-54efe2c9bef2` | 配液站内试剂仓库 | 2 | 2 | 1 | 1 | B01 位置 |
### 示例 2从手动堆栈出库
| locationId | warehouseId | quantity | x | y | z | 备注说明 |
|------------|-------------|----------|---|---|---|----------|
| `3a19deae-2c7a-36f5-5e41-02c5b66feaea` | 手动堆栈 | 1 | 1 | 1 | 1 | A01 |
| `3a19deae-2c7a-dc6d-c41e-ef285d946cfe` | 手动堆栈 | 1 | 1 | 2 | 1 | A02 |
---
## 💻 使用方法
```python
from bioyond_cell_workstation import BioyondCellWorkstation
# 初始化工作站
workstation = BioyondCellWorkstation(config=config, deck=deck)
# 调用批量出库方法
result = workstation.auto_batch_outbound_from_xlsx(
xlsx_path="outbound_template.xlsx"
)
```
---
## ⚠️ 注意事项
1. **locationId 必须是有效的 UUID**,不能使用库位名称
2. **x, y, z 坐标必须与 locationId 对应**,表示该库位在仓库内的位置
3. **quantity 必须是数字**,可以是整数或浮点数
4. Excel 文件必须包含表头行
5. 空行会被自动跳过
6. 确保 UUID 与实际库位对应,否则 API 会报错
---
## 📚 相关文件
- **配置文件**: `yibin_electrolyte_config.json`
- **Python 代码**: `bioyond_cell_workstation.py` (L630-695)
- **生成脚本**: `create_outbound_template.py`
- **上料模板**: `material_template.xlsx`
---
## 🔄 重新生成模板
```bash
conda activate newunilab
python create_outbound_template.py
```

View File

@@ -9,7 +9,7 @@ from datetime import datetime, timezone
from unilabos.device_comms.rpc import BaseRequest
from typing import Optional, List, Dict, Any
import json
from unilabos.devices.workstation.bioyond_studio.config import LOCATION_MAPPING
class SimpleLogger:
@@ -49,6 +49,14 @@ class BioyondV1RPC(BaseRequest):
self.config = config
self.api_key = config["api_key"]
self.host = config["api_host"]
# 初始化 location_mapping
# 直接从 warehouse_mapping 构建,确保数据源所谓的单一和结构化
self.location_mapping = {}
warehouse_mapping = self.config.get("warehouse_mapping", {})
for warehouse_name, warehouse_config in warehouse_mapping.items():
if "site_uuids" in warehouse_config:
self.location_mapping.update(warehouse_config["site_uuids"])
self._logger = SimpleLogger()
self.material_cache = {}
self._load_material_cache()
@@ -176,7 +184,40 @@ class BioyondV1RPC(BaseRequest):
return {}
print(f"add material data: {response['data']}")
return response.get("data", {})
# 自动更新缓存
data = response.get("data", {})
if data:
if isinstance(data, str):
# 如果返回的是字符串通常是ID
mat_id = data
name = params.get("name")
else:
# 如果返回的是字典尝试获取name和id
name = data.get("name") or params.get("name")
mat_id = data.get("id")
if name and mat_id:
self.material_cache[name] = mat_id
print(f"已自动更新缓存: {name} -> {mat_id}")
# 处理返回数据中的 details (如果有)
# 有些 API 返回结构可能直接包含 details或者在 data 字段中
details = data.get("details", []) if isinstance(data, dict) else []
if not details and isinstance(data, dict):
details = data.get("detail", [])
if details:
for detail in details:
d_name = detail.get("name")
# 尝试从不同字段获取 ID
d_id = detail.get("id") or detail.get("detailMaterialId")
if d_name and d_id:
self.material_cache[d_name] = d_id
print(f"已自动更新 detail 缓存: {d_name} -> {d_id}")
return data
def query_matial_type_id(self, data) -> list:
"""查找物料typeid"""
@@ -203,7 +244,7 @@ class BioyondV1RPC(BaseRequest):
params={
"apiKey": self.api_key,
"requestTime": self.get_current_time_iso8601(),
"data": {},
"data": 0,
})
if not response or response['code'] != 1:
return []
@@ -273,11 +314,19 @@ class BioyondV1RPC(BaseRequest):
if not response or response['code'] != 1:
return {}
# 自动更新缓存 - 移除被删除的物料
for name, mid in list(self.material_cache.items()):
if mid == material_id:
del self.material_cache[name]
print(f"已从缓存移除物料: {name}")
break
return response.get("data", {})
def material_outbound(self, material_id: str, location_name: str, quantity: int) -> dict:
"""指定库位出库物料(通过库位名称)"""
location_id = LOCATION_MAPPING.get(location_name, location_name)
location_id = self.location_mapping.get(location_name, location_name)
params = {
"materialId": material_id,
@@ -1103,6 +1152,10 @@ class BioyondV1RPC(BaseRequest):
for detail_material in detail_materials:
detail_name = detail_material.get("name")
detail_id = detail_material.get("detailMaterialId")
if not detail_id:
# 尝试其他可能的字段
detail_id = detail_material.get("id")
if detail_name and detail_id:
self.material_cache[detail_name] = detail_id
print(f"加载detail材料: {detail_name} -> ID: {detail_id}")
@@ -1123,6 +1176,14 @@ class BioyondV1RPC(BaseRequest):
print(f"从缓存找到材料: {material_name_or_id} -> ID: {material_id}")
return material_id
# 如果缓存中没有,尝试刷新缓存
print(f"缓存中未找到材料 '{material_name_or_id}',尝试刷新缓存...")
self.refresh_material_cache()
if material_name_or_id in self.material_cache:
material_id = self.material_cache[material_name_or_id]
print(f"刷新缓存后找到材料: {material_name_or_id} -> ID: {material_id}")
return material_id
print(f"警告: 未在缓存中找到材料名称 '{material_name_or_id}',将使用原值")
return material_name_or_id

View File

@@ -1,142 +0,0 @@
# config.py
"""
配置文件 - 包含所有配置信息和映射关系
"""
# API配置
API_CONFIG = {
"api_key": "",
"api_host": ""
}
# 工作流映射配置
WORKFLOW_MAPPINGS = {
"reactor_taken_out": "",
"reactor_taken_in": "",
"Solid_feeding_vials": "",
"Liquid_feeding_vials(non-titration)": "",
"Liquid_feeding_solvents": "",
"Liquid_feeding(titration)": "",
"liquid_feeding_beaker": "",
"Drip_back": "",
}
# 工作流名称到DisplaySectionName的映射
WORKFLOW_TO_SECTION_MAP = {
'reactor_taken_in': '反应器放入',
'liquid_feeding_beaker': '液体投料-烧杯',
'Liquid_feeding_vials(non-titration)': '液体投料-小瓶(非滴定)',
'Liquid_feeding_solvents': '液体投料-溶剂',
'Solid_feeding_vials': '固体投料-小瓶',
'Liquid_feeding(titration)': '液体投料-滴定',
'reactor_taken_out': '反应器取出'
}
# 库位映射配置
WAREHOUSE_MAPPING = {
"粉末堆栈": {
"uuid": "",
"site_uuids": {
# 样品板
"A1": "3a14198e-6929-31f0-8a22-0f98f72260df",
"A2": "3a14198e-6929-4379-affa-9a2935c17f99",
"A3": "3a14198e-6929-56da-9a1c-7f5fbd4ae8af",
"A4": "3a14198e-6929-5e99-2b79-80720f7cfb54",
"B1": "3a14198e-6929-f525-9a1b-1857552b28ee",
"B2": "3a14198e-6929-bf98-0fd5-26e1d68bf62d",
"B3": "3a14198e-6929-2d86-a468-602175a2b5aa",
"B4": "3a14198e-6929-1a98-ae57-e97660c489ad",
# 分装板
"C1": "3a14198e-6929-46fe-841e-03dd753f1e4a",
"C2": "3a14198e-6929-1bc9-a9bd-3b7ca66e7f95",
"C3": "3a14198e-6929-72ac-32ce-9b50245682b8",
"C4": "3a14198e-6929-3bd8-e6c7-4a9fd93be118",
"D1": "3a14198e-6929-8a0b-b686-6f4a2955c4e2",
"D2": "3a14198e-6929-dde1-fc78-34a84b71afdf",
"D3": "3a14198e-6929-a0ec-5f15-c0f9f339f963",
"D4": "3a14198e-6929-7ac8-915a-fea51cb2e884"
}
},
"溶液堆栈": {
"uuid": "",
"site_uuids": {
"A1": "3a14198e-d724-e036-afdc-2ae39a7f3383",
"A2": "3a14198e-d724-afa4-fc82-0ac8a9016791",
"A3": "3a14198e-d724-ca48-bb9e-7e85751e55b6",
"A4": "3a14198e-d724-df6d-5e32-5483b3cab583",
"B1": "3a14198e-d724-d818-6d4f-5725191a24b5",
"B2": "3a14198e-d724-be8a-5e0b-012675e195c6",
"B3": "3a14198e-d724-cc1e-5c2c-228a130f40a8",
"B4": "3a14198e-d724-1e28-c885-574c3df468d0",
"C1": "3a14198e-d724-b5bb-adf3-4c5a0da6fb31",
"C2": "3a14198e-d724-ab4e-48cb-817c3c146707",
"C3": "3a14198e-d724-7f18-1853-39d0c62e1d33",
"C4": "3a14198e-d724-28a2-a760-baa896f46b66",
"D1": "3a14198e-d724-d378-d266-2508a224a19f",
"D2": "3a14198e-d724-f56e-468b-0110a8feb36a",
"D3": "3a14198e-d724-0cf1-dea9-a1f40fe7e13c",
"D4": "3a14198e-d724-0ddd-9654-f9352a421de9"
}
},
"试剂堆栈": {
"uuid": "",
"site_uuids": {
"A1": "3a14198c-c2cf-8b40-af28-b467808f1c36",
"A2": "3a14198c-c2d0-f3e7-871a-e470d144296f",
"A3": "3a14198c-c2d0-dc7d-b8d0-e1d88cee3094",
"A4": "3a14198c-c2d0-2070-efc8-44e245f10c6f",
"B1": "3a14198c-c2d0-354f-39ad-642e1a72fcb8",
"B2": "3a14198c-c2d0-1559-105d-0ea30682cab4",
"B3": "3a14198c-c2d0-725e-523d-34c037ac2440",
"B4": "3a14198c-c2d0-efce-0939-69ca5a7dfd39"
}
}
}
# 物料类型配置
MATERIAL_TYPE_MAPPINGS = {
"烧杯": ("BIOYOND_PolymerStation_1FlaskCarrier", "3a14196b-24f2-ca49-9081-0cab8021bf1a"),
"试剂瓶": ("BIOYOND_PolymerStation_1BottleCarrier", ""),
"样品板": ("BIOYOND_PolymerStation_6StockCarrier", "3a14196e-b7a0-a5da-1931-35f3000281e9"),
"分装板": ("BIOYOND_PolymerStation_6VialCarrier", "3a14196e-5dfe-6e21-0c79-fe2036d052c4"),
"样品瓶": ("BIOYOND_PolymerStation_Solid_Stock", "3a14196a-cf7d-8aea-48d8-b9662c7dba94"),
"90%分装小瓶": ("BIOYOND_PolymerStation_Solid_Vial", "3a14196c-cdcf-088d-dc7d-5cf38f0ad9ea"),
"10%分装小瓶": ("BIOYOND_PolymerStation_Liquid_Vial", "3a14196c-76be-2279-4e22-7310d69aed68"),
}
# 步骤参数配置各工作流的步骤UUID
WORKFLOW_STEP_IDS = {
"reactor_taken_in": {
"config": ""
},
"liquid_feeding_beaker": {
"liquid": "",
"observe": ""
},
"liquid_feeding_vials_non_titration": {
"liquid": "",
"observe": ""
},
"liquid_feeding_solvents": {
"liquid": "",
"observe": ""
},
"solid_feeding_vials": {
"feeding": "",
"observe": ""
},
"liquid_feeding_titration": {
"liquid": "",
"observe": ""
},
"drip_back": {
"liquid": "",
"observe": ""
}
}
LOCATION_MAPPING = {}
ACTION_NAMES = {}
HTTP_SERVICE_CONFIG = {}

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